Multiple cause of death public use documentation for ICD-10 1999 data

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Public Use Data Set Documentation

Mortality for ICD-10, 1999

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DOCUMENTATION FOR THE MORTALITY PUBLIC USE DATA

SET, 1999

SPECIAL NOTICE

EFFECTIVE WITH 1999 DATA, CAUSE-OF-DEATH INFORMATION IS CLASSIFIED

ACCORDING TO THE TENTH REVISION OF THE INTERNATIONAL

CLASSIFICATION OF DISEASES (ICD-10)

EFFECTIVE WITH 1998 DATA, COMMONWEALTH OF THE NORTHERN

MARIANAS’ RECORDS ARE INCLUDED IN THE TERRITORIES’S

PUBLIC USE DATA SET

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This tape documentation was prepared in the Division of Vital Statistics.

Gail Parr and Vanetta Harrington of the Systems, Programming, and

Statistical Resources Branch were responsible for developing the mortality

documentation. Sherry Murphy of the Mortality Statistics Branch

coordinated preparation of the Technical Appendix. The Registration

Methods Staff and the Data Acquisition and Evaluation Branch provided

consultation to the State vital statistics offices regarding collection of death

certificate data.

Questions concerning the documentation or general questions concerning

the mortality data set should be directed to the Systems, Programming, and

Statistical Resources Branch, Division of Vital Statistics, NCHS, 3311

Toledo Road, Room 7318, Hyattsville, MD 20782 (301-458-4420).

Questions concerning the introductory text, Technical Appendix or

substantive questions concerning the mortality data should be directed to

the Mortality Statistics Branch, Division of Vital Statistics, NCHS, 3311

Toledo Road, Room 7318, Hyattsville, MD 20782 (301-458-4666).

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Table of Contents

I. Introduction

II. Underlying Cause-of-Death Data

III. Multiple Cause-of-Death Data

A. Entity Axis Codes

B. Record Axis Codes

IV. Data Set Characteristics

V. Tape Format and Variable Definition

VI. Additional Information

VII. References

VIII. List of data elements and tape locations

IX. Mortality public use data set record layout

X. Geographic code outline

XI. Primary Metropolitan Statistical Areas and Metropolitan Statistical Areas as

adapted for use by NCHS/DVS

XII. Control total tables 1-6

XIII. ICD-10 titles and recodes for the 358, 113, 130, and 39 selected cause-of-death

lists

XIV. Technical Appendix for Mortality, 1999

SYMBOLS USED IN TABLES

Symbol Explanation

--- Data not available

... Category not applicable

- Quantity zero

0.0 Quantity more than 0 but less than 0.05

* Figure does not meet standards of reliability or precision

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Documentation for the Mortality Public Use Data Set, 1999

I. Introduction

This document provides guidance in accessing and using the mortality public use data

set for 1999. It also provides information on the classification structure and coding rules

used to create each variable on the data set such that the user can readily access

information at varying levels of detail to his/her own particular research. Additionally, it

presents the characteristics of the underlying and multiple cause data to guide the user

in analyzing and interpreting the data. The user is alerted to certain pitfalls of

interpretation. The appropriateness of multiple cause data to given applications is also

discussed. Tabular underlying and multiple cause data are provided (Control Total

Tables in the back of the documentation) for comparison with user-generated counts for

1999 data.

New variables

. Beginning in 1989 a number of variables were added to the data set as

a result of the revision of the U.S. Standard Certificate of Death, recommended for State

use beginning on January 1, 1989. A new item on educational attainment was added.

Also, changes were made to improve the medical certification of cause of death. For the

first time, the U.S. Standard Certificate of Death included a question on the Hispanic

origin of the decedent. (Previously some States had included an Hispanic-origin

identifier on their certificates.) The format of the item to obtain information on type of

place of death was changed from an open-ended question to a checkbox.

Geographic classification

. The Office of Management and Budget revised its

designation of metropolitan statistical areas based on figures from the 1990 Census.

For 1990 through 1993 data, the National Center for Health Statistics (NCHS) uses the

revised definitions and codes as indicated in the listing of 320 Metropolitan Statistical

Areas (MSAs), Primary Metropolitan Statistical Areas (PMSAs), and New England

County Metropolitan Areas (NECMAs) (see documentation for those years). There are

also 20 Consolidated Metropolitan Statistical Areas (CMSAs) which are made up of

PMSAs. Because other geographic changes based on the 1990 Census became

effective with 1994 data, the metropolitan statistical area designations were updated as

well. Effective with 1994 data, there are 311 MSA’s, PMSA’s, and NECMA’s; and 18

CMSA’s as indicated in the listing included with this documentation.

Data release policy

. Effective with vital events occurring in 1989, NCHS implemented

a policy on the release of vital statistics unit record data to prevent the inadvertent

disclosure of individuals and institutions. As a result, public use data sets for 1989 and

later years do not contain the decedent’s actual day of death or date of birth.

Geographic detail is also restricted: only counties and cities of 100,000 or more

population (based on the 1990 census), and metropolitan areas of 100,000 or more

population (based on the 1990 census) are identified.

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Sample data. With the exception of calendar years 1972, 1981 and 1982, all deaths

occurring annually in the United States were processed. Due to resource constraints, in

1972, underlying and multiple cause data were coded and processed for 50 percent of

the deaths occurring in each State. In 1981 and 1982, multiple cause data were coded

on a 50-percent sample basis for deaths occurring in 19 registration areas which are

identified in the documentation of the 1981 and 1982 data sets. For the remaining 33

registration areas, multiple cause data were processed on a 100-percent basis. In 1981

and 1982, underlying cause, demographic, and geographic data were processed for

every death occurring in every State; however the multiple cause data contain only

those records where the multiple cause field is also coded.

Change in cause-of-death classification

. Effective with data year 1999, a revised

classification system for coding causes of death was implemented in the United States:

the Tenth Revision of the International Classification of Diseases (ICD-10) (1).

Information about the new revision can be obtained at the following address:

http://www.cdc.gov/nchs/about/major/dvs/icd10des.htm

II. Underlying Cause of Death Data

Mortality statistics by cause of death are compiled from entries on the medical

certification portion of the death certificate that follows the World Health Organization

(WHO) format (1). Causes of death include “all those diseases, morbid conditions or

injuries which either resulted in or contributed to death and the circumstances of the

accident or violence which produced any such injuries” (1). The medical certification of

death is divided into two sections. In Part I, the certifier is asked to provide the causal

chain of morbid conditions that led to death, beginning with the condition most

proximate to death on line (a) and working backwards to the initiating condition. The

lines (a) through (d) in Part I are connected by the phrase “due to, or as a consequence

of.” They were designed to encourage the certifier to provide the causally related

sequence of medical conditions that resulted in death. Thus, the condition on line (a)

should be due to the condition on line (b), and the condition on line (b) should be a

consequence of the condition on line (c), etc., until the full sequence is described back

to the originating or initiating condition. If only one step in the chain of morbid events is

recorded, a single entry on line (a) is adequate. Part I of the medical certification is

designed to facilitate the selection of the underlying cause of death when two or more

causes are recorded on the certificate. The underlying cause of death is defined as “(a)

the disease or injury which initiated the train of morbid events leading directly to death,

or (b) the circumstances of the accident or violence which produced the fatal injury” (1)

and is generally considered the most useful cause from a public health standpoint. Part

II solicits other conditions that the certifier believed contributed to death, but were not in

the causal chain. Figure 1 shows the U.S. Standard Certificate of Death, 1989

Revision. While some details of the death certificate vary by State, all States use the

same general format for medical certification outlined in the U.S. Standard Certificate.

The U.S. Standard Certificate, in turn, closely follows the format recommended by the

WHO.

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Figure 1. U.S. Standard Certificate of Death, 1989 Revision

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If the death certificate is properly completed, the disease or condition listed on the

lowest used line in Part I is usually accepted as the underlying cause of death. This is

an application of “The General Principle” (1). The General Principle is applied unless it

is highly improbable that the condition on the lowest line used could have given rise to

all of the diseases or conditions listed above it. In some cases, the sequence of morbid

events entered on the death certificate is not specified correctly. A variety of errors may

occur in completing the medical certification of death. Common problems include the

following: The causal chain may be listed in reverse order; the distinction between Part I

and Part II may have been ignored so that the causal sequence in Part I is simply

extended into Part II; or the reported underlying cause is unlikely, in an etiological

sense, to have caused the condition listed above it. In addition, sometimes the certifier

attributes the death to uninformative causes such as “cardiac arrest” or “pulmonary

arrest.”

To resolve the problems of incorrect or implausible cause-of-death statements, the

WHO designed standardized rules to select an underlying cause of death from the

information on the death certificate that is most informative from a public health

perspective. The rules for the Tenth Revision, as updated by WHO since the

publication of ICD-10 (1), are described in Part 2a of the NCHS Vital Statistics

Instruction Manual Series, Instructions for Classifying the Underlying Cause of Death,

1999 (2). Coding rules beyond the General Principle are invoked if the cause-of-death

section is completed incorrectly or application of the rules can improve the specificity

and characterization of the cause of death in a manner consistent with the ICD. The

rules are applied in two steps: selection of a tentative underlying cause of death, and

modification of the tentative underlying cause in view of the other conditions reported on

the certificate in either Part I or Part II. Modification involves several considerations by

the medical coder: determining whether conditions in Part II could have given rise to the

underlying cause, giving preference to specific terms over generalized terms, and

creating linkages of conditions that are consistent with the terminology of the ICD.

Use of multiple-cause data requires an understanding of the content and structure of the

death certificate (Figure 1). The cause-of-death section (Items 27 through 30f) provides

the underlying cause of death, coded according to the ICD, and the multiple causes of

death coded according to the algorithm developed by NCHS.

For a given death, the underlying cause is selected from the condition or conditions

recorded by the certifier in the cause-of-death section of the death certificate. NCHS is

bound by international agreement to use the ICD-10 classification structure, selection

rules, and modification rules, in determining the underlying cause of death. These rules

are incorporated in a computer software program called ACME (Automated

Classification of Medical Entities). ACME does exactly what a coder would do to select

the underlying cause of death. The ACME program has been used for final mortality

data since 1968.

The WHO selection rules take into account the certifier’s ordering of conditions and their

causal relationships to systematically identify the underlying cause of death. The intent

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of these rules is to improve the usefulness of mortality statistics by giving preference to

certain classification categories over others and consolidating two or more conditions on

the certificate into a single classification category. Additional information on the history

of cause-of-death statistics can be found in History and organization of the vital

statistics system (3).

III. Multiple Cause-of-Death Data

The limitations of the underlying cause concept and the need for more comprehensive

data suggested the need for coding and tabulating all conditions listed on the death

certificate. Coding all listed conditions on the death certificate was designed with two

objectives in mind. The first objective was to facilitate studies of the relationships among

conditions reported on the death certificate. This requires presenting each condition and

its location on the death certificate in the exact manner given by the certifier. The

second objective was to ensure that underlying cause-of-death would be coded

according to WHO rules.

To develop multiple-cause data, two fields were created: 1) entity axis and 2) record

axis. For entity axis, NCHS suspends the provisions of the ICD that create linkages

between conditions for the purpose of coding each individual condition, or entity, with

minimum regard to other conditions present on the death certificate. Record axis is

designed for the generation of person-based multiple-cause statistics. Person-based

analysis requires that each condition be coded within the context of every other

condition on the same death certificate and modified or linked to such conditions as

provided by ICD-10. By definition, the entity data cannot meet this requirement since the

linkage provisions modify the character and placement of the information originally

recorded by the certifier. Essentially, the axis of the classification has been converted

from an entity basis to a record (or person) basis. The record axis codes are assigned in

terms of the set of codes that best describe the overall medical certification portion of

the death certificate.

This conversion is accomplished by a computer system called TRANSAX (Translation

of Axis). TRANSAX selectively uses the traditional linkage and modification rules for

mortality coding. Underlying cause linkages which simply prefer one code over another

for purposes of underlying-cause selection are not included. Each entity code on the

record is examined and modified or deleted as necessary to create a set of codes that

are as precise and free of contradictions as possible within the constraints of ICD-10

and medical information on the record. Repetitive codes are deleted. The process may

1) combine two entity axis categories together to create a new category thereby

eliminating a contradiction or standardizing the data; or 2) eliminate one category in

favor of another to promote specificity of the data or resolve contradictions. The

following examples from ICD-10 illustrate the effect of this translation:

Case 1: When reported on the same record as separate entities, “cirrhosis of liver”

and “alcoholism” are coded to K74.6 (Other and unspecified cirrhosis of

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liver) and F10.2 (Mental and behavioral disorders due to use of alcohol;

dependence syndrome), respectively. Tabulation of records with K74.6

would imply that such records had no mention of alcohol. A preferable

code would be K70.3 (Alcoholic cirrhosis of liver) in lieu of both K74.6 and

F10.2.

Case 2: If “gastric ulcer” and “bleeding gastric ulcer” are reported on a record they

are coded to K25.9 (Gastric ulcer, unspecified as acute or chronic, without

mention of hemorrhage or perforation) and K25.4 (Gastric ulcer, chronic or

unspecified with hemorrhage), respectively. A more concise code is K25.4

which shows both the gastric ulcer and the bleeding.

A. Entity Axis Codes

The original conditions coded for selection of the underlying cause of death are

reformatted and edited prior to creating the public use data set. The following

paragraphs describe the format and application of entity axis data.

1. Format

. Each entity-axis code is displayed as an overall seven byte code with

subcomponents as follows:

1. Line indicator: The first byte represents the line of the death certificate on

which the code appears. Six lines (1-6) are allowable with

the fourth and fifth denoting an additional condition was

written in beyond the four lines provided in Part I of the U.S.

Standard Certificate of Death. Line “6" represents Part II of

the death certificate.

2. Position indicator: The next byte indicates the position of the code on the line,

i.e., it is the first (1), second (2), third (3) .... eighth (8) code

on the line.

3. Cause category: The next four bytes represent the ICD-10 cause code.

4. The last byte is blank.

For multiple cause purposes, as many as twenty (20) seven byte codes are captured

across all lines on a record with up to eight (8) codes on any given line. Codes may be

omitted from one or more lines, e.g., line 1 with one or more codes, line 2 with no

codes, line 3 with one or more codes.

In writing out these codes, they are ordered as follows: line 1 first code, line 1 second

code, etc. ----- line 2 first code, line 2 second code, etc. ----- line 3 ---- line 4 ----- line 5 --

--- line 6. Any space remaining in the field is left blank. The specifics of locations are

contained in the record layout given later in this document.

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2. Edit. The original conditions are edited to remove invalid codes, reverify the coding

of certain rare causes of death, and ensure age/cause and sex/cause compatibility.

Detailed information on the edit criteria and sets of cause codes valid with underlying

cause coding and multiple cause coding are provided in Part 11 of the NCHS Vital

Statistics Instruction Manual Series, Computer Edits for Mortality Data, Effective 1999

(4). Control Total Table 1, Number of Resident Deaths Tabulated by Mention of an

Underlying Cause, Record Axis Multiple Cause, or Entity Axis Multiple Cause of Death

by ICD-10 Category, provides a summary list of valid underlying and multiple cause of

death codes. The Control Total Tables are included in this documentation package.

3. Entity Axis Applications

. The entity axis multiple cause data are appropriate for

analyses that require each condition to be coded as an independent entity without

linkage to other conditions and/or require information regarding the placement of such

conditions on the death certificate. Within this framework, the entity data can be used to

examine relationships among conditions and the validity of traditional assumptions in

underlying cause selection. Additionally, the entity data provide, in certain categories, a

more detailed code assignment that record axis data may not provide. Where such

detail is needed, entity data should be used. Finally, the researcher may not wish to be

bound by the assumptions used in the axis translation process.

The main limitation of entity axis data is that it may not reflect the best code for a

condition when considered within the context of the medical certification as a whole. As

a result, certain entity codes can be misleading or even contradict other codes in the

record. For example, category K80.2 is titled “Calculus of gallbladder without

cholecystitis.” Within the framework of entity codes this is interpreted to mean that

cholecystitis was not mentioned in the codable entity rather than that cholecystitis was

not mentioned anywhere on the record. Therefore, tabulation of records with K80.2

would not accurately reflect the number of decedents having Calculus of gallbladder

without cholecystitis. This illustrates the fact that under entity coding the ICD-10 titles

cannot be taken literally. Data users should study the rules for entity coding as they

relate to his/her research prior to using entity data. Users are further cautioned that

inclusion notes in ICD-10 which relate to modifying and combining categories are

seldom applicable to entity coding (except where provided in Part 2b of the Vital

Statistics Instruction Manual Series, Instructions for Classifying Multiple Cause-of-

Death, 1999) (5).

Entity axis data can be tabulated by 1) counting codes using an individual code to

represent the number of times the condition(s) appears in the data set. In this kind of

tabulation, counts among categories may be added together to produce counts for

groups of codes. 2) Counting persons having mention of the disease represented by a

code or codes. This method is subject to the aforementioned limitations and counts for

individual codes cannot be added to create counts for groups of codes. Since more than

one code of interest may appear on the certificate, summing of codes must account for

higher order interactions among codes. Up to 20 codes may be assigned on a record;

therefore, a 20-way interaction is theoretically possible. All summing of codes must be

based on mention of one or more of the categories under investigation.

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B. Record Axis Codes

The following paragraphs describe the format and application of record-axis data. Part

2f of the Vital Statistics Instruction Manual Series (ICD-10 TRANSAX Disease

Reference Tables for classifying Multiple Causes-of-Death, 1999) (6) describes the

TRANSAX process for creating record axis data from entity axis data.

1. Format

. Each record (or person) axis code is displayed in five bytes. Location

information is not relevant. The code consists of the following components:

1. Cause category: The first four bytes represent the ICD-10 cause code.

2. The last byte is blank.

Again, a maximum of 20 codes are captured on a record for multiple cause purposes.

The codes are written in a 100-byte field in ascending order according to code number

(5 bytes) with any unused bytes left blank.

2. Edit

. The record axis codes are edited for rare causes and age/cause and sex/cause

compatibility. Likewise, individual code validity is checked. The set of codes valid for

record axis coding is the same as it is for entity coding.

3. Record Axis Applications

. The record axis multiple cause data are the basis for

NCHS core multiple cause tabulations. Location of codes is not relevant to this data,

and conditions have been linked into the most meaningful categories for the

certification. As a result, codes on the record already represent mention of a disease

assignable to that particular ICD-10 category. This is in contrast to the entity code which

is assigned each time such a disease is reported on different lines of the certification.

The linkage implies that, within the constraints of ICD-10, the most meaningful code has

been assigned. The translation process generates a data set that has been edited for

contradictions, duplicate codes, and imprecisions. In contrast to entity axis data, record

axis data are classified in a manner comparable to underlying cause-of-death

classification thereby facilitating joint analysis of these variables. A potential

disadvantage of record axis data is that some detail is sacrificed in a number of the

linkages.

The record axis codes literally represent the information conveyed in ICD-10 category

titles. While knowledge of the rules for combining, linking and coding conditions is

useful, it is not a prerequisite to meaningful analysis of the data as long as one is willing

to accept the assumptions of the axis translation process. Users are cautioned,

however, that because of special rules in mortality coding, not all linkage notes in ICD-

10 are used. (See Part 2f of the Vital Statistics Instruction Manual Series) (6).

Data users should proceed with caution in using record axis data to count conditions as

opposed to people with conditions, since linkages have been invoked and duplicate

codes have been eliminated. As with entity data, person-based tabulations that combine

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individual cause categories must take into account the possible interaction of up to 20

codes on a single certificate.

IV. Data Set Characteristics

Each record on the annual data set contains underlying cause (coded using ICD-10),

demographic, and geographic detail and two multiple cause-of-death fields coded using

ICD-10. The data sets contain the complete level of detail coded by NCHS except

where precluded by confidentiality restrictions or lack of data reliability. Specifications

for the 1999 data set are as follows:

File Organization: Multiple files

Record Type: Blocked, fixed format

Record Length: 440

Blocksize: 26400

U.S. DATA SET:

1. Record count: 2,394,871

2. Data counts: a. By occurrence: 2,394,871

b. By residence: 2,391,399

c. To foreign residents: 3,472

PUERTO RICO, VIRGIN ISLANDS, GUAM, AMERICAN SAMOA AND NORTHERN

MARIANAS DATA SET:

1. Record count: 30,931

PUERTO RICO:

2. Data counts: a. By occurrence: 29,145

b. By residence: 28,967

VIRGIN ISLANDS:

2. Data counts: a. By occurrence: 654

b. By residence: 659

GUAM:

2. Data Counts: a. By occurrence: 724

b. By residence: 693

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AMERICAN SAMOA:

2. Data Counts: a. By occurrence: 246

b. By residence: 246

NORTHERN MARIANAS:

2. Data Counts: a. By occurrence: 162

b. By residence: 162

1. The data were processed using the PL/1 language on an IBM 3090-200J.

2. The last block for the data year may be a short block.

3. The data are recorded in IBM/EBCDIC 8-bit code for each character.

4. Codes may be numeric, alphabetic, or blank (Hex 40).

5. A code “z” is the EBCDIC code for the letter “z”.

6. A code “&” is the EBCDIC code for an ampersand (a punched card code 12).

V. Tape Format and Variable Definition

The attached record layout provides documentation of variables, variable categories,

and variable location on the mortality public use data sets. It is noted that the following

material, while used in the processing of mortality data, is not included in this package:

International Statistical Classification of Diseases and Related Health Problems,

Tenth Revision (ICD-10) (1)

NCHS Instruction Manual Part 2a, Instructions for Classifying the Underlying

Cause-of-Death, 1999 (2)

NCHS Instruction Manual Part 2b, Instructions for Classifying Multiple Cause-of-

Death, 1999 (5)

NCHS Instruction Manual Part 2c, ICD-10 ACME Decision Tables for Classifying

Underlying Causes-of-Death, 1999 (7)

NCHS Instruction Manual Part 2d, NCHS Procedures for Mortality Medical Data

System File Preparation and Maintenance, Effective 1999 (8)

NCHS Instruction Manual Part 2f, ICD-10 TRANSAX Disease Reference Tables

for Classifying Multiple Causes-of-Death, 1999 (6)

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NCHS Instruction Manual Part 4, Demographic Classification and Coding

Instructions for Death Records, 1999 (9)

NCHS Instruction Manual Part 11, Computer Edits for Mortality Data, Effective

1999 (4)

These documents describe in detail the rules employed for demographic and medical

classification on death records. Volumes 1, 2 and 3 of the ICD-10 may be purchased

from the World Health Organization (WHO) Publication Center USA, 49 Sheridan

Avenue, Albany, New York, 12210 (http://www.who.int/whosis/icd10/index.html). An

electronic version of WHO’s ICD-10 can be found at

http://www3.who.int/icd/vol1htm2003/fr-icd.htm

The remaining documents, while not

absolutely essential to the proper interpretation of the data for a number of general

applications, should nevertheless be studied carefully prior to any detailed analysis of

demographic or medical data variables. In particular, there are a number of exceptions

to the ICD rules in multiple cause-of-death coding which, if not treated properly, may

result in faulty analysis of the data.

Users who do not already have access to these documents may request them from the

Chief, Mortality Medical Classification Branch, Division of Vital Statistics, National

Center for Health Statistics, P.O. Box 12214, Research Triangle Park, North Carolina

27709.

In addition, the user should refer to the Technical Appendices of the Vital Statistics of

the United States for information on the source of data, coding procedures, quality of

the data, etc. Technical Appendix information is enclosed and can also be found at the

following address: http://www.cdc.gov/nchs/about/major/dvs/mortdata.htm

VI. Additional Information

In using the NCHS mortality public use data set, the user is urged to review the

information in this document and its references. The instructional material changes from

year to year and from ICD revision to ICD revision. The user is cautioned that coding of

specific ICD-10 categories should be checked in the appropriate instruction manual.

What may appear on the surface to be the correct code by ICD-10 may, in fact, not be

correct as given in the instruction manuals.

If, on the surface, it is not obvious whether entity axis or record axis data should be

employed in a given application, detailed examination of Part 2f of the Vital Statistics

Instruction Manual Series and its attachments will probably provide the necessary

information to make a decision. Part 2f will enable the user to determine the extent of

the trade-offs between the two sets of data in terms of specific categories and the

assumption of axis translation. In certain situations, a combination of entity and record

axis data may be the more appropriate alternative.

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Several basic tabulations of data from selected variables contained on this data set

have been produced and are included with this document as an aid to the user in

determining if his/her own tabulations are correct. For verification of multiple cause-of-

death data at the “each cause” level of detail, Control Total Table 1 provides counts of

the number of deaths for which a given ICD-10 category is mentioned as the underlying

cause-of-death, a record axis multiple cause-of-death, and an entity axis multiple cause-

of-death, respectively. The counts for the record axis multiple cause-of-death field are

divided into two distinct subtotals: 1) “total mention” and 2) “secondary”. Secondary is

defined as any code which is present in the record axis field but is not the underlying

cause-of-death. Control Total Tables 2-5 provide additional control totals for the three

cause-of-death fields by age, race, and sex. Control Total Tables 1-5 are based on

resident deaths in the United States (excludes deaths to non-residents). Control Total

Table 6 is based upon deaths occurring in the United States (includes deaths to foreign

residents).

For help with questions concerning multiple cause-of-death analysis, please refer to

references 10-13.

When further analytical assistance is needed, contact the Mortality Statistics Branch,

Division of Vital Statistics, NCHS, 3311 Toledo Road, Room 7318, Hyattsville, Maryland

20782, Telephone (301) 458-4666. For technical assistance pertaining to the creation of

the mortality public use data set, contact Chief, Mortality Medical Classification Branch,

Division of Vital Statistics, NCHS, P.O. Box 12214, Research Triangle Park, North

Carolina 27709.

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VII. References

1. World Health Organization. International Statistical Classification of Diseases and

Related Health Problems, Tenth Revision (ICD-10). Geneva: World Health

Organization. 1992.

2. National Center for Health Statistics. Vital statistics, instructions for classifying

the underlying cause of death, 1999. NCHS instruction manual; part 2a.

Hyattsville, Maryland: Public Health Service. (Available at the following address:

http://www.cdc.gov/nchs/about/major/dvs/im.htm

)

3. Hetzel AM. History and organization of the vital statistics system. National Center

for Health Statistics. 1997.

4. National Center for Health Statistics. Vital statistics, computer edits for mortality

data, effective 1999. NCHS instruction manual; part 11. Hyattsville, Maryland:

Public Health Service. (Available at the following address:

http://www.cdc.gov/nchs/about/major/dvs/im.htm

)

5. National Center for Health Statistics. Vital statistics, instructions for classifying

multiple cause-of-death, 1999. NCHS instruction manual; part 2b. Hyattsville,

Maryland: Public Health Service. (Available at the following address:

http://www.cdc.gov/nchs/about/major/dvs/im.htm

)

6. National Center for Health Statistics. Vital statistics, ICD-10 TRANSAX disease

reference tables for classifying multiple causes-of-death, 1999. NCHS instruction

manual; part 2f. Hyattsville, Maryland: Public Health Service.

7. National Center for Health Statistics. Vital statistics, ICD-10 ACME decision

tables for classifying underlying causes-of-death, 1999. NCHS instruction

manual; part 2c. Hyattsville, Maryland: Public Health Service. (Available at the

following address: http://www.cdc.gov/nchs/about/major/dvs/im.htm

)

8. National Center for Health Statistics. Vital statistics, NCHS procedures for

mortality medical data system file preparation and maintenance, effective 1999.

NCHS instruction manual; part 2d. Hyattsville, Maryland: Public Health Service.

9. National Center for Health Statistics. Vital statistics, demographic classification

and coding instructions for death records, 1999. NCHS instruction manual; part

4. Hyattsville, Maryland: Public Health Service. (Available at the following

address: http://www.cdc.gov/nchs/about/major/dvs/im.htm

)

10. National Center for Health Statistics. Multiple causes of death in the United

States. Monthly vital statistics report; vol 32 no 10, suppl.(2). Hyattsville,

Maryland: Public Health Service, 1984. (Available at the following address:

http://www.cdc.gov/nchs/products/pubs/pubd/mvsr/supp/40-31/40-31.htm)

19

11. Chamblee, R.F. and Evans, M.C. TRANSAX: The NCHS system for producing

multiple cause-of-death statistics, 1968-78. Vital and Health Statistics. Series 1,

no 20. Public Health Service, Washington, DC: U.S. Government Printing Office,

June 1986. (Available at the following address:

http://www.cdc/gov/nchs/products/pubs/pubd/series/sr01/20-1/20-1.htm)

12. Israel, R.A., Rosenberg, H.M., and Curtin, L.R. Analytical potential for multiple

cause-of-death data. American Journal of Epidemiology 124(2): 161-179. August,

1986.

13. Manton, K.G. and Stallard, E. Recent trends in mortality analysis. Orlando,

Florida; Academic Press, inc., 1984.

1

VI. List of File Data Elements and Tape Locations

Tape

Data Items Locations

1. General

a. Record Type 19

b. Resident status 20

c. Place of death and decedent=s status 75

d. Day of week of death 83

e. Date of data receipt 110-114

f. Data year 115-118

g. Manner of death 139

h. Activity code 140

i. Place of injury 141

2. Occurrence

a. Reporting Area 3

b. State 21-22,28

c. Expanded State 29-30

d. County 23-25

e. County Population size 49

f. Region 26

g. Division 27

h. FIPS State 119-120

i. FIPS County 121-123

3. Residence

a. State 31-32,43

b. Expanded State 44-45

c. County 33-35

d. County Population size 50

e. City 36-38

f. City Population size 39

g. Met/Nonmet county 40

h. Region 41

i. Division 42

j. PMSA/MSA 46-48

k. PMSA/MSA Population size 51

l. FIPS State 124-125

m. FIPS County 126-128

n. FIPS Place 97-101

o. FIPS PMSA/MSA 129-132

p. FIPS CMSA 134-135

4. The Decedent

a. Month of Death 55-56

b. Sex 59

c. Race 60-63

d. Age 64-74

e. Marital status 77

f. State of birth 78-79

g. Hispanic origin 80-81,82

h. Kind of Business or Industry 85-87

i. Usual Occupation 88-90

2

j. Education 52-53,54

Data Items-Con.

5. Underlying Cause

a. ICD-10 code 142-145

b. 358 cause recode 146-148

c. 113 cause recode 151-153

d. 130 cause recode 154-156

e. 39 cause recode 157-158

f. Place of injury 141

g. Injury at work 136

6. Multiple Conditions

a. Entity-Axis conditions

1. Number of 160-161

2. The conditions 162-301

h. Record-Axis conditions

1. Number of 338-339

2. The conditions 341-440

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Mortality Multiple Cause-of-Death Public Use Record

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Location

Size Item and Code Outline

3

1-3 2 Reserved Positions

These positions are blank.

4-9 6 Certificate Number

These positions are blank.

10-11 2 Reserved Positions

12-18 7 Sequence Number

These positions are blank.

19 1 Record Type

1 ... RESIDENTS

State and County of Occurrence and Residence are the same.

2 ... NONRESIDENTS

State and/or County of Occurrence and Residence are different.

20 1 Resident Status

United States Occurrence

1 ... RESIDENTS

State and County of Occurrence and Residence are the same.

2 ... INTRASTATE NONRESIDENTS

State of Occurrence and Residence are the same, but County is

different.

3 ... INTERSTATE NONRESIDENTS

State of Occurrence and Residence are different, but both are in the

U.S.

4 ... FOREIGN RESIDENTS

State of Occurrence is one of the 50 States or the District of Columbia,

but Place of Residence is outside of the U.S.

Puerto Rico Occurrence

1 ... RESIDENTS

Territory and County-equivalent of Occurrence and Residence are the

same.

2 ... INTRASTATE NONRESIDENTS

Territory of Occurrence and Residence are the same, but County-

equivalent is different.

4 ... FOREIGN RESIDENTS

Occurred in Puerto Rico to a resident of any other place.

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20 1 Resident Status - Con.

Virgin Islands Occurrence

1 ... RESIDENTS

Territory and County-equivalent of Occurrence and Residence are the

same.

2 ... INTRASTATE NONRESIDENTS

Territory of Occurrence and Residence are the same, but County-

equivalent is different.

4 ... FOREIGN RESIDENTS

Occurred in Virgin Islands to a resident of any other place.

Guam Occurrence

1 ... RESIDENTS

Occurred in Guam to a resident of Guam or to a resident of the U.S.

4 ... FOREIGN RESIDENTS

Occurred in Guam to a resident of any place other than Guam or the

U.S.

American Samoa Occurrence

1 ... RESIDENTS

Territory and County-equivalent of Occurrence and Residence are the

same.

2 ... INTRASTATE NONRESIDENTS

Territory of Occurrence and Residence are the same, but County-

equivalent is different.

4 ... FOREIGN RESIDENTS

Occurred in American Samoa to a resident of any other place.

Northern Marianas Occurrence

1 ... RESIDENTS

Territory and County-equivalent of Occurrence and

Residence are the same.

2 ... INTRASTATE NONRESIDENTS

Territory of Occurrence and Residence are the same, but

County-equivalent is different.

4 ... FOREIGN RESIDENTS

Occurred in Northern Marianas to a resident of any other

place.

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Mortality Multiple Cause-of-Death Public Use Record

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Size Item and Code Outline

5

21-30 10 PLACE OF OCCURRENCE

Refer to the Geographic Code Outline further back in this document for a detailed list of

areas and codes. Some Geographic Codes have changed to reflect the results of the 1990

Census.

21-22 2 State of Occurrence

United States

01 ... Alabama

02 ... Alaska

03 ... Arizona

04 ... Arkansas

05 ... California

06 ... Colorado

07 ... Connecticut

08 ... Delaware

09 ... District of Columbia

10 ... Florida

11 ... Georgia

12 ... Hawaii

13 ... Idaho

14 ... Illinois

15 ... Indiana

16 ... Iowa

17 ... Kansas

18 ... Kentucky

19 ... Louisiana

20 ... Maine

21 ... Maryland

22 ... Massachusetts

23 ... Michigan

24 ... Minnesota

25 ... Mississippi

26 ... Missouri

27 ... Montana

28 ... Nebraska

29 ... Nevada

30 ... New Hampshire

31 ... New Jersey

32 ... New Mexico

33 ... New York

34 ... North Carolina

35 ... North Dakota

36 ... Ohio

37 ... Oklahoma

38 ... Oregon

39 ... Pennsylvania

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21-22 2 State of Occurrence - Con.

40 ... Rhode Island

41 ... South Carolina

42 ... South Dakota

43 ... Tennessee

44 ... Texas

45 ... Utah

46 ... Vermont

47 ... Virginia

48 ... Washington

49 ... West Virginia

50 ... Wisconsin

51 ... Wyoming

Puerto Rico

52 ...Puerto Rico

Virgin Islands

53 ...Virgin Islands

Guam

54 ...Guam

American Samoa

61 ...American Samoa

Northern Marianas

62 ...Northern Marianas

23-25 3 County of Occurrence

001-nnn ... Counties and county equivalents (independent and

coextensive cities) are numbered alphabetically within

each State. (Note: To uniquely identify a county, both

the State and county codes must be used.) A complete

list of counties is shown in the Geographic Code Outline

further back in this document.

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Mortality Multiple Cause-of-Death Public Use Record

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Size Item and Code Outline

7

26 1 Region

27-28 2 Division and State Subcode of Occurrence

States are coded within Division.

26 is Region. 27 is Division. 28 is State subcode.

000 ... Not applicable: Puerto Rico, Virgin Islands, Guam, or

American Samoa occurrence.

1 ... NORTHEAST

1 ... New England

1 ... Maine

2 ... New Hampshire

3 ... Vermont

4 ... Massachusetts

5 ... Rhode Island

6 ... Connecticut

2 ... Middle Atlantic

1 ... New York

2 ... New Jersey

3 ... Pennsylvania

2 ... MIDWEST

3 ... East North Central

1 ... Ohio

2 ... Indiana

3 ... Illinois

4 ... Michigan

5 ... Wisconsin

4 ... West North Central

1 ... Minnesota

2 ... Iowa

3 ... Missouri

4 ... North Dakota

5 ... South Dakota

6 ... Nebraska

7 ... Kansas

3 ... SOUTH

5 ... South Atlantic

1 ... Delaware

2 ... Maryland

3 ... District of Columbia

4 ... Virginia

5 ... West Virginia

6 ... North Carolina

7 ... South Carolina

8 ... Georgia

9 ... Florida

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Mortality Multiple Cause-of-Death Public Use Record

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26 1 Region

27-28 2 Division and State Subcode of Occurrence - Con.

6 ... East South Central

1 ... Kentucky

2 ... Tennessee

3 ... Alabama

4 ... Mississippi

7 ... West South Central

1 ... Arkansas

2 ... Louisiana

3 ... Oklahoma

4 ... Texas

4 ... WEST

8 ... Mountain

1 ... Montana

2 ... Idaho

3 ... Wyoming

4 ... Colorado

5 ... New Mexico

6 ... Arizona

7 ... Utah

8 ... Nevada

9 ... Pacific

1 ... Washington

2 ... Oregon

3 ... California

4 ... Alaska

5 ... Hawaii

29-30 2 Expanded State of Occurrence Code

This item is designed to separately identify New York City records from other New York

State records.

United States

01 ... Alabama

02 ... Alaska

03 ... Arizona

04 ... Arkansas

05 ... California

06 ... Colorado

07 ... Connecticut

08 ... Delaware

09 ... District of Columbia

10 ... Florida

11 ... Georgia

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29-30 2 Expanded State of Occurrence - Con.

12 ... Hawaii

13 ... Idaho

14 ... Illinois

15 ... Indiana

16 ... Iowa

17 ... Kansas

18 ... Kentucky

19 ... Louisiana

20 ... Maine

21 ... Maryland

22 ... Massachusetts

23 ... Michigan

24 ... Minnesota

25 ... Mississippi

26 ... Missouri

27 ... Montana

28 ... Nebraska

29 ... Nevada

30 ... New Hampshire

31 ... New Jersey

32 ... New Mexico

33 ... New York

34 ... New York City

35 ... North Carolina

36 ... North Dakota

37 ... Ohio

38 ... Oklahoma

39 ... Oregon

40 ... Pennsylvania

41 ... Rhode Island

42 ... South Carolina

43 ... South Dakota

44 ... Tennessee

45 ... Texas

46 ... Utah

47 ... Vermont

48 ... Virginia

49 ... Washington

50 ... West Virginia

51 ... Wisconsin

52 ... Wyoming

Puerto Rico

53 ... Puerto Rico

Virgin Islands

54 ...Virgin Islands

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Mortality Multiple Cause-of-Death Public Use Record

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29-30 2 Expanded State of Occurrence - Con.

Guam

55 ... Guam

American Samoa

62 ...American Samoa

Northern Marianas

63 ...Northern Marianas

31-48 18 PLACE OF RESIDENCE

Refer to the Geographic Code Outline further back in this document for a detailed list of

areas and codes.

31-32 2 State of Residence

United States Occurrence

01 ... Alabama

02 ... Alaska

03 ... Arizona

04 ... Arkansas

05 ... California

06 ... Colorado

07 ... Connecticut

08 ... Delaware

09 ... District of Columbia

10 ... Florida

11 ... Georgia

12 ... Hawaii

13 ... Idaho

14 ... Illinois

15 ... Indiana

16 ... Iowa

17 ... Kansas

18 ... Kentucky

19 ... Louisiana

20 ... Maine

21 ... Maryland

22 ... Massachusetts

23 ... Michigan

24 ... Minnesota

25 ... Mississippi

26 ... Missouri

27 ... Montana

28 ... Nebraska

29 ... Nevada

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Mortality Multiple Cause-of-Death Public Use Record

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11

31-32 2 State of Residence - Con

.

U.S. Occurrence

30 ... New Hampshire

31 ... New Jersey

32 ... New Mexico

33 ... New York

34 ... North Carolina

35 ... North Dakota

36 ... Ohio

37 ... Oklahoma

38 ... Oregon

39 ... Pennsylvania

40 ... Rhode Island

41 ... South Carolina

42 ... South Dakota

43 ... Tennessee

44 ... Texas

45 ... Utah

46 ... Vermont

47 ... Virginia

48 ... Washington

49 ... West Virginia

50 ... Wisconsin

51 ... Wyoming

52-57,59,61 ... Foreign residents

52 ... Puerto Rico

53 ... Virgin Islands

54 ... Guam

55 ... Canada

56 ... Cuba

57 ... Mexico

59 ... Remainder of the world

61 ... American Samoa

62 ... Northern Marianas

Puerto Rico Occurrence

52 ... Puerto Rico

01-51,53-

57,59,61... Foreign residents: refer to U.S. for specific code structure.

Virgin Islands Occurrence

53 ... Virgin Islands

01-52,54-

57,59,61... Foreign residents: refer to U.S. for specific code structure.

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12

31-32 2 State of Residence - Con

.

U.S. Occurrence

Guam Occurrence

54 ... Guam

01-51 ... U.S. resident. Also considered a resident of Guam.

52-53,55-57,

59,61 ... Foreign residents: refer to U.S. for specific code structure.

American Samoa Occurrence

61 ... American Samoa

01-57,

59 ... Foreign residents: refer to U.S. for specific code structure.

Northern Marianas Occurrence

62 ... Northern Marianas

01-57,

59,61 ... Foreign residents: refer to U.S. for specific code structure.

33-35 3 County of Residence

001-nnn ... Counties and county equivalents (independent and

coextensive cities) are numbered alphabetically within each

State. (Note: to uniquely identify a county, both the State and

county codes must be used.) A complete list of counties is

shown in the Geographic Code outline further back in this

document.

zzz ... Foreign residents

36-38 3 City of Residence

001-nnn ... Cities are numbered alphabetically within each State and identify

each city with a population of 10,000 or more in1990. (Note: To

uniquely identify a city, both the State and city codes must be used.

State, county and city codes may also be used.)

999 ... balance of county

ZZZ ... Foreign residents

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Mortality Multiple Cause-of-Death Public Use Record

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13

39 1 Population Size of City of Residence

Based on the results of the 1990 Census.

0 ...Place of 1,000,000 or more

1 ...Place of 500,000 to 1,000,000

2 ...Place of 250,000 to 500,000

3 ...Place of 100,000 to 250,000

9 ...All other areas in the U.S.

Z ...Foreign residents

40 1 Metropolitan - Nonmetropolitan County of Residence

NOTE: American Samoa, Guam and the Virgin Islands do not have any metropolitan

areas.

1 ...Metropolitan county

2 ...Nonmetropolitan county

Z ...Foreign residents

41 1 Region

42-43 2 Division and State Subcode of Residence

States are codes within Division. 41 is Region. 42 is Division. 43 is State subcode.

APPLICABLE TO U.S. ONLY.

000 ... Foreign residents

1 ... NORTHEAST

1 ... New England

1 ... Maine

2 ... New Hampshire

3 ... Vermont

4 ... Massachusetts

5 ... Rhode Island

6 ... Connecticut

2 ... Middle Atlantic

1 ... New York

2 ... New Jersey

3 ... Pennsylvania

2 ... MIDWEST

3 ... East North Central

1 ... Ohio

2 ... Indiana

3 ... Illinois

4 ... Michigan

5 ... Wisconsin

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Mortality Multiple Cause-of-Death Public Use Record

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14

41-43 3 Region

Division and State of Residence - Con.

4 ... West North Central

1 ... Minnesota

2 ... Iowa

3 ... Missouri

4 ... North Dakota

5 ... South Dakota

6 ... Nebraska

7 ... Kansas

3 ... SOUTH

5 ... South Atlantic

1 ... Delaware

2 ... Maryland

3 ... District of Columbia

4 ... Virginia

5 ... West Virginia

6 ... North Carolina

7 ... South Carolina

8 ... Georgia

9 ... Florida

6 ... East South Central

1 ... Kentucky

2 ... Tennessee

3 ... Alabama

4 ... Mississippi

7 ... West South Central

1 ... Arkansas

2 ... Louisiana

3 ... Oklahoma

4 ... Texas

4 ... WEST

8 ... Mountain

1 ... Montana

2 ... Idaho

3 ... Wyoming

4 ... Colorado

5 ... New Mexico

6 ... Arizona

7 ... Utah

8 ... Nevada

9 ... Pacific

1 ... Washington

2 ... Oregon

3 ... California

4 ... Alaska

5 ... Hawaii

1999

Mortality Multiple Cause-of-Death Public Use Record

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15

44-45 2 Expanded State of Residence Code

This item is designed to separately identify New York City records from other New York

State records.

United States Occurrence

01 ... Alabama

02 ... Alaska

03 ... Arizona

04 ... Arkansas

05 ... California

06 ... Colorado

07 ... Connecticut

08 ... Delaware

09 ... District of Columbia

10 ... Florida

11 ... Georgia

12 ... Hawaii

13 ... Idaho

14 ... Illinois

15 ... Indiana

16 ... Iowa

17 ... Kansas

18 ... Kentucky

19 ... Louisiana

20 ... Maine

21 ... Maryland

22 ... Massachusetts

23 ... Michigan

24 ... Minnesota

25 ... Mississippi

26 ... Missouri

27 ... Montana

28 ... Nebraska

29 ... Nevada

30 ... New Hampshire

31 ... New Jersey

32 ... New Mexico

33 ... New York

34 ... New York City

35 ... North Carolina

36 ... North Dakota

37 ... Ohio

38 ... Oklahoma

39 ... Oregon

40 ... Pennsylvania

41 ... Rhode Island

42 ... South Carolina

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Mortality Multiple Cause-of-Death Public Use Record

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16

44-45 2 Expanded State of Residence Code - Con.

43 ... South Dakota

44 ... Tennessee

45 ... Texas

46 ... Utah

47 ... Vermont

48 ... Virginia

49 ... Washington

50 ... West Virginia

51 ... Wisconsin

52 ... Wyoming

53-58, 60, 62 ... Foreign Residents

53 ... Puerto Rico

54 ... Virgin Island

55 ... Guam

56 ... Canada

57 ... Cuba

58 ... Mexico

60 ... Remainder of the world

62 ... American Samoa

Puerto Rico Occurrence

53 ... Puerto Rico

01-52, 54-

58,60,62 ... Foreign residents: refer to U.S. for specific code structure.

Virgin Islands Occurrence

54 ... Virgin Islands

01-53,55-

58,60,62 ... Foreign residents: refer to U.S. for specific code structure.

Guam Occurrence

55 ... Guam

01-52 ... U.S. resident. Also considered a resident of Guam.

53-54, 56-58,

60,62 ... Foreign residents: refer to U.S. for specific code structure.

American Samoa Occurrence

62 ... American Samoa

01-58,

60 ... Foreign residents: refer to U.S. for specific code structure.

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44-45 2 Expanded State of Residence - Con.

Northern Marianas Occurrence

63 ... Northern Marianas

01-58,

60,62 ... Foreign residents: refer to U.S. for specific code structure.

46-48 3 NCHS PMSA/MSA of Residence

Primary Metropolitan Statistical Areas and Metropolitan Statistical Areas are those

defined by the U.S. Office of Management and Budget (OMB) as of 1990. For New

England, the New England County Metropolitan Areas (NECMA) are used.

Further back in this document is a list of PMSA=s, MSA=s, NECMA=s, and their

component counties.

000 ... Nonmetropolitan counties

001-311 ... Code range

999 ... Area of less than 100,000 population

ZZZ ... Foreign residents

49 1 Population Size of County of Occurrence

Based on the results of the 1990 Census

0 ... County of 1,000,000 or more

1 ... County of 500,000 to 1,000,000

2 ... County of 250,000 to 500,000

3 ... County of 100,000 to 250,000

9 ... County of less than 100,000

50 1 Population Size of County of Residence

Based on the results of the 1990 Census

0 ... County of 1,000,000 or more

1 ... County of 500,000 to 1,000,000

2 ... County of 250,000 to 500,000

3 ... County of 100,000 to 250,000

9 ... Count of less than 100,000

Z ... Foreign residents

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51 1 PMSA/MSA Population Size

Based on the results of the 1990 Census

1 ... Area of 250,000 or more

2 ... Area of 100,000 to 250,000

9 ... Area of less than 100,000 or nonmetropolitan area

Z ... Foreign residents

52-53 2 Education

00 ... No formal education

01-08 ... Years of elementary school

09 ... 1 year of high school

10 ... 2 years of high school

11 ... 3 years of high school

12 ... 4 years of high school

13 ... 1 year of college

14 ... 2 years of college

15 ... 3 years of college

16 ... 4 years of college

17 ... 5 or more years of college

99 ... Not stated

54 1 Education Recode

1 ... 0 - 8 years

2 ... 9 - 11 years

3 ... 12 years

4 ... 13 - 15 years

5 ... 16 years or more

6 ... Not stated

55-56 2 Month of Death

01 ... January

02 ... February

03 ... March

04 ... April

05 ... May

06 ... June

07 ... July

08 ... August

09 ... September

10 ... October

11 ... November

12 ... December

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Mortality Multiple Cause-of-Death Public Use Record

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57-58 2 Reserved Positions

59 1 Sex

1 ... Male

2 ... Female

60-63 4 RACE

60-61 2 Detail Race

United States Occurrence

Beginning with 1992 data, some areas started reporting additional Asian or Pacific Islander codes

for race. Codes 18 - 68 replace old code 08 for these areas. Code 78 replaces old 08 for all other

areas. For consistency with Census races, code 09 (all other races) has been imputed.

01 ... White

02 ... Black

03 ... American Indian (includes Aleuts and Eskimos)

04 ... Chinese

05 ... Japanese

06 ... Hawaiian (includes Part-Hawaiian)

07 ... Filipino

18 ... Asian Indian

28 ... Korean

38 ... Samoan

48 ... Vietnamese

58 ... Guamanian

68 ... Other Asian or Pacific Islander in areas reporting codes 18-58

78 ... Combined other Asian or Pacific Islander, includes codes 18-68 for areas

that do not report them separately

Puerto Rico Occurrence

00 ... Other races

01 ... White

02 ... Black

Virgin Islands Occurrence

01 ... White

02 ... Black

03 ... American Indian (includes Aleuts and Eskimos)

04 ... Chinese

05 ... Japanese

06 ... Hawaiian (includes Part-Hawaiian)

07 ... Filipino

08 ... Other Asian or Pacific Islander

1999

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60-61 2 Detail Race - Con.

Guam Occurrence

01 ... White

02 ... Black

03 ... American Indian (Includes Aleuts and Eskimos)

04 ... Chinese

05 ... Japanese

06 ... Hawaiian (includes Part-Hawaiian)

07 ... Filipino

08 ... Other Asian or Pacific Islander

58 ... Guamanian

American Samoa Occurrence

01 ... White

02 ... Black

03 ... American Indian (includes Aleuts and Eskimos)

04 ... Chinese

05 ... Japanese

06 ... Hawaiian (includes Part-Hawaiian)

07 ... Filipino

08 ... Other Asian or Pacific Islander

Northern Marianas Occurrence

01 ... White

02 ... Black

03 ... American Indian (includes Aleuts and Eskimos)

04 ... Chinese

05 ... Japanese

06 ... Hawaiian (includes Part-Hawaiian)

07 ... Filipino

18 ... Asian Indian

28 ... Korean

38 ... Samoan

48 ... Vietnamese

58 ... Guamanian

68 ... Other Asian or Pacific Islander in areas reporting codes 18-58

78 ... Combined other Asian or Pacific Islander, includes 18-68

for areas that do not report them separately

62 1 Race Recode 3

1 ... White

2 ... Races other than White or Black

3 ... Black

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63 1 Race Recode 2

1 ... White

2 ... All other races

64-74 11 REPORTED AGE

64-66 3 Detail Age

Three positions are used to code detail age. Location 64 identifies age in years, months,

days, etc. Locations 65-66 are the number of years, months, days, etc.

0 01-99 ... Years less than 100

1 00-99 ... Years 100 or more

2 01-11,99 ... Months

3 01-03,99 ... Weeks

4 01-27,99 ... Days

5 01-23, 99 ... Hours

6 01-59, 99 ... Minutes

9 99 ... Age not stated

67-68 2 Age Recode 52

01 ... Under 1 hour (includes not stated hours and minutes)

02 ... 1 - 23 hours

03 ... 1 day (includes not stated days)

04 ... 2 days

05 ... 3 days

06 ... 4 days

07 ... 5 days

08 ... 6 days

09 ... 7 - 13 days (includes not stated weeks)

10 ... 14 - 20 days

11 ... 21 - 27 days

12 ... 1 month (includes not stated months)

13 ... 2 months

14 ... 3 months

15 ... 4 months

16 ... 5 months

17 ... 6 months

18 ... 7 months

19 ... 8 months

20 ... 9 months

21 ... 10 months

22 ... 11 months

23 ... 1 year

24 ... 2 years

25 ... 3 years

26 ... 4 years

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67-68 2 Age Recode 52 - Con.

27 ... 5 - 9 years

28 ... 10 - 14 years

29 ... 15 - 19 years

30 ... 20 - 24 years

31 ... 25 - 29 years

32 ... 30 - 34 years

33 ... 35 - 39 years

34 ... 40 - 44 years

35 ... 45 - 49 years

36 ... 50 - 54 years

37 ... 55 - 59 years

38 ... 60 - 64 years

39 ... 65 - 69 years

40 ... 70-74 years

41 ... 75-79 years

42 ... 80 - 84 years

43 ... 85 - 89 years

44 ... 90 - 94 years

45 ... 95 - 99 years

46 ... 100 - 104 years

47 ... 105 - 109 years

48 ... 110 - 114 years

49 ... 115 - 119 years

50 ... 120 - 124 years

51 ... 125 years and over

52 ... Age not stated

69-70 2 Age Recode 27

01 ... Under 1 month (includes not stated weeks, days, hours, and minutes)

02 ... 1 month - 11 months (includes not stated months)

03 ... 1 years

04 ... 2 years

05 ... 3 years

06 ... 4 years

07 ... 5 - 9 years

08 ... 10 - 14 years

09 ... 15 - 19 years

10 ... 20 - 24 years

11 ... 25 - 29 years

12 ... 30 - 34 years

13 ... 35 - 39 years

14 ... 40 - 44 years

15 ... 45 - 49 years

16 ... 50 - 54 years

17 ... 55 - 59 years

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69-70 2 Age Recode 27 - Con.

18 ... 60 - 64 years

19 ... 65 - 69 years

20 ... 70 - 74 years

21 ... 75 - 79 years

22 ... 80 - 84 years

23 ... 85 - 89 years

24 ... 90 - 94 years

25 ... 95 - 99 years

26 ... 100 years and over

27 ... Age not stated

71-72 2 Age Recode 12

01 ... Under 1 year (includes not stated infant ages)

02 ... 1 - 4 years

03 ... 5 - 14 years

04 ... 15 - 24 years

05 ... 25 - 34 years

06 ... 35 - 44 years

07 ... 45 - 54 years

08 ... 55 - 64 years

09 ... 65 - 74 years

10 ... 75 - 84 years

11 ... 85 years and over

12 ... Age not stated

73-74 2 Infant Age Recode 22

Blank ... Age 1 year and over or not stated

01 ... Under 1 hour (includes not stated hours and minutes)

02 ... 1 - 23 hours

03 ... 1 day (includes not stated days)

04 ... 2 days

05 ... 3 days

06 ... 4 days

07 ... 5 days

08 ... 6 days

09 ... 7 days (includes not stated weeks)

10 ... 14 - 20 days

11 ... 21 - 27 days

12 ... 1 month (includes not stated months)

13 ... 2 months

14 ... 3 months

15 ... 4 months

16 ... 5 months

17 ... 6 months

1999

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73-74 2 Infant Age Recode 22 - Con.

18 ... 7 months

19 ... 8 months

20 ... 9 months

21 ... 10 months

22 ... 11 months

75 1 Place of Death and Decedent=s Status

1 ... Hospital, clinic or Medical Center

- Inpatient

2 ... Hospital, Clinic or Medical Center

- Outpatient or admitted to Emergency Room

3 ... Hospital, Clinic or Medical Center

- Dead on Arrival

4 ... Hospital, Clinic or Medical Center

- Patient status unknown

5 ... Nursing home

6 ... Residence

7 ... Other

9 ... Place of death unknown

76 1 Reserved Position

77 1 Marital Status

1 ... Never married, single

2 ... Married

3 ... Widowed

4 ... Divorced

8 ... Marital Status not on certificate

9 ... Marital Status not stated

78-79 2 State of Birth

01 ... Alabama

02 ... Alaska

03 ... Arizona

04 ... Arkansas

05 ... California

06 ... Colorado

07 ... Connecticut

08 ... Delaware

09 ... District of Columbia

10 ... Florida

11 ... Georgia

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78-79 2 State of Birth - Con.

12 ... Hawaii

13 ... Idaho

14 ... Illinois

15 ... Indiana

16 ... Iowa

17 ... Kansas

18 ... Kentucky

19 ... Louisiana

20 ... Maine

21 ... Maryland

22 ... Massachusetts

23 ... Michigan

24 ... Minnesota

25 ... Mississippi

26 ... Missouri

27 ... Montana

28 ... Nebraska

29 ... Nevada

30 ... New Hampshire

31 ... New Jersey

32 ... New Mexico

33 ... New York

34 ... North Carolina

35 ... North Dakota

36 ... Ohio

37 ... Oklahoma

38 ... Oregon

39 ... Pennsylvania

40 ... Rhode Island

41 ... South Carolina

42 ... South Dakota

43 ... Tennessee

44 ... Texas

45 ... Utah

46 ... Vermont

47 ... Virginia

48 ... Washington

49 ... West Virginia

50 ... Wisconsin

51 ... Wyoming

52 ... Puerto Rico

53 ... Virgin Island

54 ... Guam

55 ... Canada

56 ... Cuba

57 ... Mexico

59 ... Remainder of the world

61 ... American Samoa

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78-79 2 State of Birth - Con.

62 ...Northern Marianas

99 ... State of birth unknown

80-81 2 Hispanic Origin

Beginning data year 1997 all States report Hispanic Origin.

00 ... Non - Hispanic

01 ... Mexican

02 ... Puerto Rican

03 ... Cuban

04 ... Central or South American

05 ... Other or unknown Hispanic

99 ... Unknown

82 1 Hispanic Origin/Race Recode

1 ... Mexican

2 ... Puerto Rican

3 ... Cuban

4 ... Central or South American

5 ... Other or unknown Hispanic

6 ... Non - Hispanic white

7 ... Non - Hispanic black

8 ... Non - Hispanic other races

9 ... Hispanic origin unknown

83 1 Day of Week of Death

1 ... Sunday

2 ... Monday

3 ... Tuesday

4 ... Wednesday

5 ... Thursday

6 ... Friday

7 ... Saturday

9 ... Unknown

84 1 Reserved Position

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85-87 3 Kind of Business or Industry

This item is not reported by all States. Refer to the Addendum to the Technical Appendix

at the back of this publication for a list of reporting States.

A new coding structure was instituted for the 1993 data year. For a complete list of

categories and codes refer to:

U.S. Bureau of the Census: Classified index of industries and occupations.

1990 Census of Population and Housing. First Edition.

Washington. U.S. Government Printing Office, April 1992.

010-960 … Code range (not inclusive)

In addition to the codes shown in the Census publication, the following codes are also

applicable:

961 … Own home/At home

970 … Retired; with no other industry reported

990 … Blank, Unknown, NA

88-90 3 Usual Occupation

This item is not reported by all States. Refer to the Addendum to the Technical Appendix

at the back of this publication for a list of reporting States. A new coding structure was

instituted for the 1993 data year. For a complete list of categories and codes refer to the

Census Bureau publication mentioned above.

003-905 … Code range (not inclusive)

In addition to the codes shown in the Census publication, the following codes are also

applicable:

913 … Retired; with no other occupation reported

914 … Housewife/Homemaker

915 … Student

916 … Volunteer

917 … Unemployed, never worked, disabled, child, infant

999 … Blank, Unknown, NA

91-96 6 Reserved Positions

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97-101 5 Place (city) of Residence (FIPS)

A complete list of cities is shown in the Geographic code outline further back in this

document. Effective with the 1994 data year, the FIPS place code has been added to the

Mortality record. It identifies each city of 100,000 population or more in 1990.

00000 ... Foreign residents

00001-

nnnnn ... code range

99999 ... Balance of county; or city of less than 100,000 population

102-114 13 Reserved Positions

115-118 4 Current Data Year

1999 ...1999

119-132 14 FEDERAL INFORMATION PROCESSING STANDARDS (FIPS) GEOGRAPHIC

CODES

Refer to the Geographic Code Outline further back in this document for a detailed list of

areas and codes. For an explanation of FIPS codes, reference should be made to various

National Institute of Standards and Technology (NIST) publications. Some geographic

codes have been changed to reflect the results of the 1990 Census.

119-120 2 State of Occurrence (FIPS)

United States

01 ... Alabama

02 ... Alaska

04 ... Arizona

05 ... Arkansas

06 ... California

08 ... Colorado

09 ... Connecticut

10 ... Delaware

11 ... District of Columbia

12 ... Florida

13 ... Georgia

15 ... Hawaii

16 ... Idaho

17 ... Illinois

18 ... Indiana

19 ... Iowa

20 ... Kansas

21 ... Kentucky

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119-120 2 State of Occurrence (FIPS) - Con.

22 ... Louisiana

23 ... Maine

24 ... Maryland

25 ... Massachusetts

26 ... Michigan

27 ... Minnesota

28 ... Mississippi

29 ... Missouri

30 ... Montana

31 ... Nebraska

32 ... Nevada

33 ... New Hampshire

34 ... New Jersey

35 ... New Mexico

36 ... New York

37 ... North Carolina

38 ... North Dakota

39 ... Ohio

40 ... Oklahoma

41 ... Oregon

42 ... Pennsylvania

44 ... Rhode Island

45 ... South Carolina

46 ... South Dakota

47 ... Tennessee

48 ... Texas

49 ... Utah

50 ... Vermont

51 ... Virginia

53 ... Washington

54 ... West Virginia

55 ... Wisconsin

56 ... Wyoming

Puerto Rico

72 ... Puerto Rico

Virgin Islands

78 ... Virgin Islands

Guam

66 ... Guam

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119-120 2 State of Occurrence (FIPS) - Con.

American Samoa

60 ... American Samoa

Northern Marianas

69 ... Northern Marianas

121-123 3 County of Occurrence (FIPS)

Counties and county equivalents (independent and coextensive cities) are numbered

alphabetically within each State and identify each county with a population of 100,000 or

more in 1990. (Note: To uniquely identify a county, both the state and county codes must

be used.) A complete list of counties is shown in the Geographic Code Outline further

back in this document.

001-nnn ... Code range

999 ... County of less than 100,000 population

124-125 2 State of Residence (FIPS)

00 ... Foreign residents

01 ... Alabama

02 ... Alaska

04 ... Arizona

05 ... Arkansas

06 ... California

08 ... Colorado

09 ... Connecticut

10 ... Delaware

11 ... District of Columbia

12 ... Florida

13 ... Georgia

15 ... Hawaii

16 ... Idaho

17 ... Illinois

18 ... Indiana

19 ... Iowa

20 ... Kansas

21 ... Kentucky

22 ... Louisiana

23 ... Maine

24 ... Maryland

25 ... Massachusetts

26 ... Michigan

27 ... Minnesota

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124-125 2 State of Residence (FIPS) - Con.

28 ... Mississippi

29 ... Missouri

30 ... Montana

31 ... Nebraska

32 ... Nevada

33 ... New Hampshire

34 ... New Jersey

35 ... New Mexico

36 ... New York

37 ... North Carolina

38 ... North Dakota

39 ... Ohio

40 ... Oklahoma

41 ... Oregon

42 ... Pennsylvania

44 ... Rhode Island

45 ... South Carolina

46 ... South Dakota

47 ... Tennessee

48 ... Texas

49 ... Utah

50 ... Vermont

51 ... Virginia

53 ... Washington

54 ... West Virginia

55 ... Wisconsin

56 ... Wyoming

Puerto Rico Occurrence

72 ... Puerto Rico

00-56,60, 66,

78 ... Foreign residents: refer to U.S. for specific code structure.

Virgin Islands Occurrence

78 ... Virgin Islands

00-56,60, 66,

72 ... Foreign residents: refer to U.S. for specific code

structure.

Guam Occurrence

66 ... Guam

01-56 ... U.S. Resident. Also considered a resident of Guam.

00, 60, 72, 78 ... Foreign residents: refer to U.S. for specific code structure.

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124-125 2 State of Residence (FIPS) - Con.

American Samoa Occurrence

60 ... American Samoa

00-56, 66,

72, 78 ... Foreign residents: refer to U.S. for specific code structure.

Northern Marianas Occurrence

69 ... Northern Marianas

00-56,60,66

72,78 ... Foreign residents: refer to U.S. for specific code

structure.

126-128 3 County of Residence (FIPS)

Counties and county equivalents (independent and coextensive cities) are numbered

alphabetically within each State and identify each county with a population of 100,000 or

more in 1990. (Note: To uniquely identify a county, both the state and county codes must

be used.) A complete list of counties is shown in the Geographic Code Outline further

back in this document.

000 ... Foreign residents

001-nnn ... Code range

999 ... County of less than 100,000 population

129-132 4 PMSA/MSA of Residence (FIPS)

Primary Metropolitan Statistical Areas and Metropolitan Statistical Areas are those

defined by the U.S. Office of Management and Budget (OMB) as of 1990. For New

England, the New England County Metropolitan Areas (NECMA) are used.

Further back in this docuent is a list of PMSA=s, MSA=s, NECMA=s, and their

component counties.

129-132 4 PMSA/MSA of Residence (FIPS) - Con.

0000 ... Nonmetropolitan counties or foreign residents

0040-9360 ... Code range

9999 ... Area of less than 100,000 population

133 1 Reserved Position

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33

134-135 2 CMSA of Residence (FIPS)

Consolidated Metropolitan Statistical Areas are groupings of certain Primary

Metropolitan Statistical Areas and are defined by the U.S. Office of Management and

Budget (OMB) as of 1990.

All Areas

00 ... Not a CMSA

United States Occurrence

07 ... Boston - Worcester-Lawrence, MA-NH-ME-CT, CMSA

14 ... Chicago - Gary-Kenosha, IL-IN-WI, CMSA

21 ... Cincinnati - Hamilton, OH-KY-IN, CMSA

28 ... Cleveland - Akron, OH, CMSA

31 ... Dallas - Fort Worth, TX, CMSA

34 ... Denver - Boulder-Greeley, CO, CMSA

35 ... Detroit - Ann Arbor-Flint, MI, CMSA

42 ... Houston - Galveston-Brazoria, TX, CMSA

49 ... Los Angeles -Riverside- Orange County, CA, CMSA

56 ... Miami - Fort Lauderdale, FL, CMSA

134-135 2 CMSA of Residence (FIPS)

63 ... Milwaukee - Racine, WI, CMSA

70 ... New York -Northern New Jersey-Long Island, NY-NJ-

CT-PA, CMSA

77 ... Philadelphia - Wilmington-Atlantic City, PA-NJ-DE-

MD. CMSA

79 ... Portland - Salem , OR-WA, CMSA

82 ... Sacremento - Yolo, CA, CMSA

84 ... San Francisco -Oakland-San Jose, CA, CMSA

91 ... Seattle - Tacoma-Bremerton, WA, CMSA

97 ... Washington - Baltimore, DC-MD-VA-WV, CMSA

Puerto Rico Occurrence

87 ... San Juan -Caguas-Arecibo, PR, CMSA

136 1 Injury at Work

1 ... Yes

2 ... No

9 ... Unknown

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137 1 Race Imputation Flag

Blank ... Race is not imputed

1 ... Unknown race is imputed

2 ... All other races, formerly code 09, is imputed

138 1 Age Substitution Flag

If reported age is unknown but a valid age is calculated using dates of birth and death, the

calculated age is substituted for the unknown reported age.

1 ... Calculated age is substituted for reported age

139 1 Manner of Death

1 ... Accident

2 ... Suicide

3 ... Homicide

4 ... Pending investigation

5 ... Could not determine

6 ... Self-Inflicted

7 ... Natural

blank ... Not specified

140 1 Activity Code

0 ... While engaged in sports activity

1 ... While engaged in leisure activity

2 ... While working for income

3 ... While engaged in other types of work

4 ... While resting, sleeping, eating (vital activities)

8 ... While engaged in other specified activities

9 ... During unspecified activity

blank ... Not applicable

141 1 Place of Injury for Causes W00-Y34, except Y06.- and Y07.-

0 ... Home

1 ... Residential institution

2 ... School, other institution and public administrative

area

3 ... Sports and athletics area

4 ... Street and highway

5 ... Trade and service area

6 ... Industrial and construction area

7 ... Farm

8 ... Other Specified Places

9 ... Unspecified place

Blank ... Causes other than W00-Y34, except Y06.- and Y07.-

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142-159 18 UNDERLYING CAUSE OF DEATH

142-145 4 ICD Code (10

th

Revision)

See the International Classification of Diseases

, 1992 Revision, Volume 1.

146-148 3 358 Cause Recode

A recode of the ICD cause code into 358 groups for NCHS publications. Further

back in this document is a complete list of recodes and the causes included.

001-456 ... Code range (not inclusive)

149-150 2 Reserved Positions

151-153 3 113 Cause Recode

A recode of the ICD cause code into 113 groups for NCHS publications. Further

back in this document is a complete list of recodes and the causes included.

001-135 ... Code range (not inclusive)

154-156 3 130 Infant Cause Recode

A recode of the ICD cause code into 130 groups for NCHS publications. Further

back in this document is a complete list of recodes and the causes included.

001-158 ... Code range (not inclusive)

157-158 2 39 Cause Recode

A recode of the ICD cause code into 39 groups for NCHS publications. Further

back in this document is a complete list of recodes and the causes included.

01-42 ... Code range (not inclusive)

159 1 Reserved Position

160-440 281 MULTIPLE CONDITIONS

160-161 2 Number of Entity-Axis Conditions

00-20 ... Code range

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162-301 140 ENTITY - AXIS CONDITIONS

Space has been provided for maximum of 20 conditions. Each condition takes 7 positions

in the record. The 7

th

position will be blank. Records that do not have 20 conditions are

blank in the unused area.

Position 1: Part/line number on certificate

1 ... Part I, line 1 (a)

2 ... Part I, line 2 (b)

3 ... Part I, line 3 (c)

4 ... Part I, line 4 (d)

5 ... Part I, line 5 (e)

6 ... Part II

Position 2: Sequence of condition within part/line

1-7 ... Code range

Position 3 - 6: Condition code

See Table 1 for a complete list of codes

162-168 7 1

st

Condition

169-175 7 2

nd

Condition

176-182 7 3

rd

Condition

183-189 7 4

th

Condition

190-196 7 5

th

Condition

197-203 7 6

th

Condition

204-210 7 7

th

Condition

211-217 7 8

th

Condition

218-224 7 9

th

Condition

225-231 7 10

th

Condition

232-238 7 11

th

Condition

239-245 7 12

th

Condition

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246-252 7 13

th

Condition

162-301 140 ENTITY - AXIS CONDITIONS - Con.

253-259 7 14

th

Condition

260-266 7 15

th

Condition

267-273 7 16

th

Condition

274-280 7 17

th

Condition

281-287 7 18

th

Condition

288-294 7 19

th

Condition

295-301 7 20

th

Condition

302-337 36 Reserved Positionss

338-339 2 Number of Record-Axis Conditions

00-20 ... Code range

340 1 Reserved Position (TRANSAX flag)

341-440 100 RECORD - AXIS CONDITIONS

Space has been provided for a maximum of 20 conditions. Each condition takes

5 positions in the record. The 5

th

position will be blank. Records that do not

have 20 conditions are blank in the unused area.

Positions 1 - 4: Condition Code

See Table 1 for a complete list of codes

341-345 5 1

st

Condition

346-350 5 2

nd

Condition

351-355 5 3

rd

Condition

356-360 5 4

th

Condition

361-365 5 5

th

Condition

366-370 5 6

th

Condition

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341-440 100 RECORD - AXIS CONDITIONS - Con.

371-375 5 7

th

Condition

376-380 5 8

th

Condition

381-385 5 9

th

Condition

386-390 5 10

th

Condition

391-395 5 11

th

Condition

396-400 5 12

th

Condition

401-405 5 13

th

Condition

406-410 5 14

th

Condition

411-415 5 15

th

Condition

416-420 5 16

th

Condition

421-425 5 17

th

Condition

426-430 5 18

th

Condition

431-435 5 19

th

Condition

436-440 5 20

th

Condition

Vital Statistics Geographic Code Outline for the United States

The following pages show in detail the geographic codes used by the Division of Vital

Statistics in the processing of vital event data occurring in the United States.

When an event occurs to a nonresident of the United States, residence data are coded

only to the "State" level; several western hemisphere countries or the remainder of

the world are uniquely identified. Along with the Division of Vital Statistics

codes, the Federal Information Processing Standards (FIPS) codes are shown for

several items. Both sets of codes appear on the vital event public-use files. Codes

are effective with the 1998 data year and are based on the 1990 Census.

To aid the user in interpreting the geographic codes, a brief explanation of the

codes and of the column headings/abbreviations shown on the following pages are:

State (St): Each State and the District of Columbia are numbered alphabetically. In

addition, several unique codes are used to identify nonresidents of the U.S.

County (Cnty): Counties and county equivalents (independent and coextensive cities)

are numbered alphabetically within each state.

P/MSA: Primary metropolitan statistical areas and metropolitan statistical areas are

those established by the U.S. Office of Management and Budget (OMB) using 1990 Census

population counts. For New England, the New England County Metropolitan Areas

(NECMA) are used.

M/NM: Metropolitan counties (code 1) are component counties of P/MSA's.

Nonmetropolitan counties (code 2) are not part of any P/MSA.

City or Place: Cities/Places are numbered alphabetically within each State and

identify each city with a population of 10,000 or more in 1990.

P/S: Population size code for city/place of residence based on the 1990 Census.

Refer to the code outline given earlier in this document for specific codes and

meanings.

Name: Each State, county, and city name is listed along with its respective code.

In addition, places used to identify nonresidents of the U.S. are also listed along

with their codes.

FIPS: For an explanation of FIPS codes, reference should be made to various National

Institute of Standards and Technology (NIST) publications.

So! How do I find Yavapai county, Arizona; or Tupelo city, Mississippi?

Since counties and cities/places are numbered within State, the State and county or

the State and city/places codes must be used to select these areas. It is most

helpful if the county is known when looking for a particular city since areas are

shown by State, county, and city/place.

Yavapai county, Arizona - State and county codes NCHS: 03 014; FIPS: 04 025.

Tupelo, Mississippi - State and city/place codes NCHS: 25 032; FIPS: 28 74840; or

State, county, city/place codes NCHS: 25 041 032; FIPS: 28 081 74840.

Vital Statistics Geographic Code Outline for the United States 1

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

01 Alabama 01

001 188 1 Autauga 001 5 5240

035 6 Prattville, part 62328

999 9 Balance of county 99999

002 184 1 Baldwin 003 4 5160

010 6 Daphne 19648

999 9 Balance of county 99999

003 000 2 Barbour 005 5 0000

014 6 Eufaula 24568

999 9 Balance of county 99999

004 000 2 999 9 Bibb 007 6 0000

005 032 1 999 9 Blount 009 5 1000

006 000 2 999 9 Bullock 011 6 0000

007 000 2 999 9 Butler 013 6 0000

008 012 1 Calhoun 015 3 0450

004 5 Anniston 01852

024 6 Jacksonville 38272

999 9 Balance of county 99999

009 000 2 999 9 Chambers 017 5 0000

010 000 2 999 9 Cherokee 019 6 0000

011 000 2 999 9 Chilton 021 5 0000

012 000 2 999 9 Choctaw 023 6 0000

013 000 2 999 9 Clarke 025 5 0000

014 000 2 999 9 Clay 027 6 0000

015 000 2 999 9 Cleburne 029 6 0000

016 000 2 Coffee 031 5 0000

Vital Statistics Codes FIPS Codes

Vital Statistics Geographic Code Outline for the United States 2

Effective with 1999 Data

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

01 Alabama 01

013 6 Enterprise, part 24184

999 9 Balance of county 99999

017 094 1 Colbert 033 4 2650

040 6 Sheffield 69648

999 9 Balance of county 99999

018 000 2 999 9 Conecuh 035 6 0000

019 000 2 999 9 Coosa 037 6 0000

020 000 2 999 9 Covington 039 5 0000

021 000 2 999 9 Crenshaw 041 6 0000

022 000 2 Cullman 043 4 0000

009 6 Cullman 18976

999 9 Balance of county 99999

023 077 1 Dale 045 5 2180

012 4 Dothan, part 21184

013 6 Enterprise, part 24184

033 6 Ozark 57648

999 9 Balance of county 99999

024 000 2 Dallas 047 5 0000

039 6 Selma 69120

999 9 Balance of county 99999

025 000 2 De Kalb 049 4 0000

017 6 Fort Payne 27616

999 9 Balance of county 99999

026 188 1 Elmore 051 5 5240

035 6 Prattville, part 62328

999 9 Balance of county 99999

027 000 2 999 9 Escambia 053 5 0000

028 105 1 Etowah 055 4 2880

Vital Statistics Geographic Code Outline for the United States 3

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

01 Alabama 01

018 5 Gadsden 28696

999 9 Balance of county 99999

029 000 2 999 9 Fayette 057 6 0000

030 000 2 999 9 Franklin 059 5 0000

031 000 2 999 9 Geneva 061 6 0000

032 000 2 999 9 Greene 063 6 0000

033 000 2 999 9 Hale 065 6 0000

034 000 2 999 9 Henry 067 6 0000

035 077 1 Houston 069 4 2180

012 4 Dothan, part 21184

999 9 Balance of county 99999

036 000 2 Jackson 071 5 0000

038 6 Scottsboro 68736

999 9 Balance of county 99999

037 032 1 Jefferson 073 1 1000

007 5 Bessemer 05980

008 2 Birmingham, part 07000

015 6 Fairfield 25120

020 6 Homewood 35800

021 5 Hoover, part 35896

022 6 Hueytown 36448

Vital Statistics Geographic Code Outline for the United States 4

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

01 Alabama 01

037 Jefferson, con. 073 1 1000

030 6 Mountain Brook 51696

046 6 Vestavia Hills 78552

999 9 Leeds, part 99999

999 9 Balance of county 99999

038 000 2 999 9 Lamar 075 6 0000

039 094 1 Lauderdale 077 4 2650

016 5 Florence 26896

999 9 Balance of county 99999

040 072 1 999 9 Lawrence 079 5 2030

041 000 2 Lee 081 4 0000

006 5 Auburn 03076

032 6 Opelika 57048

034 5 Phenix City, part 59472

999 9 Balance of county 99999

042 129 1 Limestone 083 4 3440

005 6 Athens 02956

011 5 Decatur, part 20104

023 3 Huntsville, part 37000

027 6 Madison, part 45784

999 9 Balance of county 99999

043 000 2 999 9 Lowndes 085 6 0000

044 000 2 Macon 087 6 0000

045 6 Tuskegee 77304

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 5

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

01 Alabama 01

045 129 1 Madison 089 3 3440

023 3 Huntsville, part 37000

027 6 Madison, part 45784

999 9 Balance of county 99999

046 000 2 999 9 Marengo 091 6 0000

047 000 2 999 9 Marion 093 5 0000

048 000 2 Marshall 095 4 0000

002 6 Albertville 00988

999 9 Balance of county 99999

049 184 1 Mobile 097 2 5160

028 3 Mobile 50000

036 5 Prichard 62496

037 6 Saraland 68160

999 9 Balance of county 99999

050 000 2 999 9 Monroe 099 6 0000

051 188 1 Montgomery 101 3 5240

029 3 Montgomery 51000

999 9 Balance of county 99999

052 072 1 Morgan 103 3 2030

011 5 Decatur, part 20104

019 6 Hartselle 33448

999 9 Balance of county 99999

053 000 2 999 9 Perry 105 6 0000

054 000 2 999 9 Pickens 107 6 0000

055 000 2 Pike 109 5 0000

043 6 Troy 76920

999 9 Balance of county 99999

056 000 2 999 9 Randolph 111 6 0000

Vital Statistics Geographic Code Outline for the United States 6

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

01 Alabama 01

057 063 1 Russell 113 5 1800

034 5 Phenix City, part 59472

999 9 Balance of county 99999

058 032 1 St. Clair 115 4 1000

999 9 Balance of county 99999

999 9 Leeds, part 99999

059 032 1 Shelby 117 4 1000

001 6 Alabaster 00820

008 2 Birmingham, part 07000

021 5 Hoover, part 35896

999 9 Leeds, part 99999

999 9 Balance of county 99999

060 000 2 999 9 Sumter 119 6 0000

061 000 2 Talladega 121 4 0000

041 6 Sylacauga 74352

042 6 Talladega 74592

999 9 Balance of county 99999

062 000 2 Tallapoosa 123 5 0000

003 6 Alexander City 01132

999 9 Balance of county 99999

063 287 1 Tuscaloosa 125 3 8600

031 6 Northport 55200

Vital Statistics Geographic Code Outline for the United States 7

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

01 Alabama 01

063 Tuscaloosa, con. 125 3 8600

044 4 Tuscaloosa 77256

999 9 Balance of county 99999

064 000 2 Walker 127 4 0000

025 6 Jasper 38416

999 9 Balance of county 99999

065 000 2 999 9 Washington 129 6 0000

066 000 2 999 9 Wilcox 131 6 0000

067 000 2 999 9 Winston 133 6 0000

Vital Statistics Geographic Code Outline for the United States 8

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

02 Alaska 02

001 000 2 999 9 Aleutians East 013 6 0000

002 000 2 999 9 Aleutians West 016 6 0000

003 010 1 001 3 Anchorage, coext. with Anchorage city 020 3 0380 03000

004 000 2 999 9 Bethel 050 6 0000

005 000 2 999 9 Bristol Bay 060 6 0000

006 000 2 999 9 Dillingham 070 6 0000

007 000 2 Fairbanks North Star 090 4 0000

002 5 Fairbanks 24230

999 9 Balance of area 99999

008 000 2 999 9 Haines 100 6 0000

009 000 2 003 5 Juneau, coext. with Juneau city 110 5 0000 36400

010 000 2 999 9 Kenai Peninsula 122 5 0000

011 000 2 999 9 Ketchikan Gateway 130 6 0000

012 000 2 999 9 Kodiak Island 150 6 0000

013 000 2 999 9 Lake and Peninsula 164 6 0000

014 000 2 999 9 Matanuska-Susitna 170 5 0000

015 000 2 999 9 Nome 180 6 0000

016 000 2 999 9 North Slope 185 6 0000

017 000 2 999 9 Northwest Arctic 188 6 0000

018 000 2 999 9 Prince of Wales-Outer Ketchikan 201 6 0000

019 000 2 999 9 Sitka 220 6 0000

020 000 2 999 9 Skagway-Hoonah-Angoon 232 6 0000

021 000 2 999 9 Southeast Fairbanks 240 6 0000

022 000 2 999 9 Valdez-Cordova 261 6 0000

023 000 2 999 9 Wade Hampton 270 6 0000

024 000 2 999 9 Wrangell-Petersburg 280 6 0000

025 000 2 999 9 Yakutat 282 6 0000

Vital Statistics Geographic Code Outline for the United States 9

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

02 Alaska 02

026 000 2 999 9 Yukon-Koyukuk 290 6 0000

Vital Statistics Geographic Code Outline for the United States 10

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

03 Arizona 04

001 000 2 999 9 Apache 001 4 0000

002 000 2 Cochise 003 4 0000

006 6 Douglas 20050

020 5 Sierra Vista 66820

999 9 Balance of county 99999

003 000 2 Coconino 005 4 0000

007 5 Flagstaff 23620

999 9 Balance of county 99999

004 000 2 999 9 Gila 007 5 0000

005 000 2 999 9 Graham 009 5 0000

006 000 2 999 9 Greenlee 011 6 0000

007 000 2 999 9 La Paz 012 6 0000

008 215 1 Maricopa 013 0 6200

001 6 Apache Junction, part 02830

002 6 Avondale 04720

005 4 Chandler 12000

008 6 Fountain Hills 25300

009 5 Gilbert 27400

010 3 Glendale 27820

013 2 Mesa 46000

015 6 Paradise Valley 52930

016 4 Peoria 54050

017 1 Phoenix 55000

019 3 Scottsdale 65000

021 3 Tempe 73000

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 11

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

03 Arizona 04

009 159 1 Mohave 015 4 4120

003 6 Bullhead City 08255

011 6 Kingman 37620

012 6 Lake Havasu City 39370

999 9 Balance of county 99999

010 000 2 999 9 Navajo 017 4 0000

011 285 1 Pima 019 1 8520

022 2 Tucson 77000

999 9 Balance of county 99999

012 215 1 Pinal 021 3 6200

001 6 Apache Junction, part 02830

004 6 Casa Grande 10530

999 9 Balance of county 99999

013 000 2 Santa Cruz 023 5 0000

014 6 Nogales 49640

999 9 Balance of county 99999

014 000 2 Yavapai 025 3 0000

018 5 Prescott 57380

999 9 Balance of county 99999

015 311 1 Yuma 027 3 9360

023 4 Yuma 85540

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 12

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

04 Arkansas 05

001 000 2 Arkansas 001 6 0000

024 6 Stuttgart 67490

999 9 Balance of county 99999

002 000 2 999 9 Ashley 003 6 0000

003 000 2 999 9 Baxter 005 5 0000

004 092 1 Benton 007 4 2580

003 6 Bentonville 05320

019 6 Rogers 60410

023 5 Springdale, part 66080

999 9 Balance of county 99999

005 000 2 999 9 Boone 009 5 0000

006 000 2 999 9 Bradley 011 6 0000

007 000 2 999 9 Calhoun 013 6 0000

008 000 2 999 9 Carroll 015 6 0000

009 000 2 999 9 Chicot 017 6 0000

010 000 2 Clark 019 6 0000

001 6 Arkadelphia 01870

999 9 Balance of county 99999

011 000 2 999 9 Clay 021 6 0000

012 000 2 999 9 Cleburne 023 6 0000

013 000 2 999 9 Cleveland 025 6 0000

014 000 2 Columbia 027 5 0000

015 6 Magnolia 43460

999 9 Balance of county 99999

015 000 2 999 9 Conway 029 6 0000

016 000 2 Craighead 031 4 0000

Vital Statistics Geographic Code Outline for the United States 13

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

04 Arkansas 05

013 5 Jonesboro 35710

999 9 Balance of county 99999

017 100 1 Crawford 033 5 2720

026 6 Van Buren 71480

999 9 Balance of county 99999

018 178 1 Crittenden 035 5 4920

028 5 West Memphis 74540

999 9 Balance of county 99999

019 000 2 999 9 Cross 037 6 0000

020 000 2 999 9 Dallas 039 6 0000

021 000 2 999 9 Desha 041 6 0000

022 000 2 999 9 Drew 043 6 0000

023 166 1 Faulkner 045 4 4400

006 5 Conway 15190

999 9 Balance of county 99999

024 000 2 999 9 Franklin 047 6 0000

025 000 2 999 9 Fulton 049 6 0000

026 000 2 Garland 051 4 0000

011 5 Hot Springs 33460

999 9 Balance of county 99999

027 000 2 999 9 Grant 053 6 0000

028 000 2 Greene 055 5 0000

017 6 Paragould 53390

999 9 Balance of county 99999

029 000 2 999 9 Hempstead 057 6 0000

030 000 2 999 9 Hot Spring 059 5 0000

031 000 2 999 9 Howard 061 6 0000

Vital Statistics Geographic Code Outline for the United States 14

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

04 Arkansas 05

032 000 2 999 9 Independence 063 5 0000

033 000 2 999 9 Izard 065 6 0000

034 000 2 999 9 Jackson 067 6 0000

035 216 1 Jefferson 069 4 6240

018 4 Pine Bluff 55310

999 9 Balance of county 99999

036 000 2 999 9 Johnson 071 6 0000

037 000 2 999 9 Lafayette 073 6 0000

038 000 2 999 9 Lawrence 075 6 0000

039 000 2 999 9 Lee 077 6 0000

040 000 2 999 9 Lincoln 079 6 0000

041 000 2 999 9 Little River 081 6 0000

042 000 2 999 9 Logan 083 6 0000

043 166 1 999 9 Lonoke 085 5 4400

044 000 2 999 9 Madison 087 6 0000

045 000 2 999 9 Marion 089 6 0000

046 281 1 Miller 091 5 8360

025 6 Texarkana 68810

999 9 Balance of county 99999

047 000 2 Mississippi 093 4 0000

004 6 Blytheville 07330

Vital Statistics Geographic Code Outline for the United States 15

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

04 Arkansas 05

047 Mississippi, con. 093 4 0000

999 9 Balance of county 99999

048 000 2 999 9 Monroe 095 6 0000

049 000 2 999 9 Montgomery 097 6 0000

050 000 2 999 9 Nevada 099 6 0000

051 000 2 999 9 Newton 101 6 0000

052 000 2 Ouachita 103 5 0000

005 6 Camden 10720

999 9 Balance of county 99999

053 000 2 999 9 Perry 105 6 0000

054 000 2 Phillips 107 5 0000

027 6 West Helena 74450

999 9 Balance of county 99999

055 000 2 999 9 Pike 109 6 0000

056 000 2 999 9 Poinsett 111 6 0000

057 000 2 999 9 Polk 113 6 0000

058 000 2 Pope 115 5 0000

020 6 Russellville 61670

999 9 Balance of county 99999

059 000 2 999 9 Prairie 117 6 0000

060 166 1 Pulaski 119 2 4400

012 5 Jacksonville 34750

014 3 Little Rock 41000

016 4 North Little Rock 50450

022 6 Sherwood 63800

999 9 Balance of county 99999

061 000 2 999 9 Randolph 121 6

Vital Statistics Geographic Code Outline for the United States 16

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

04 Arkansas 05

062 000 2 St. Francis 123 5 0000

009 6 Forrest City 24430

999 9 Balance of county 99999

063 166 1 Saline 125 4 4400

002 6 Benton 05290

999 9 Balance of county 99999

064 000 2 999 9 Scott 127 6 0000

065 000 2 999 9 Searcy 129 6 0000

066 100 1 Sebastian 131 4 2720

010 4 Fort Smith 24550

999 9 Balance of county 99999

067 000 2 999 9 Sevier 133 6 0000

068 000 2 999 9 Sharp 135 6 0000

069 000 2 999 9 Stone 137 6 0000

070 000 2 Union 139 5 0000

007 6 El Dorado 21070

999 9 Balance of county 99999

071 000 2 999 9 Van Buren 141 6 0000

072 092 1 Washington 143 3 2580

008 5 Fayetteville 23290

023 5 Springdale, part 66080

999 9 Balance of county 99999

073 000 2 White 145 4 0000

021 6 Searcy 63020

999 9 Balance of county 99999

074 000 2 999 9 Woodruff 147 6 0000

075 000 2 999 9 Yell 149 6 0000

Vital Statistics Geographic Code Outline for the United States 17

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

001 201 1 Alameda 001 0 5775

002 4 Alameda 00562

003 6 Albany 00674

025 3 Berkeley 06000

073 6 Dublin 20018

090 3 Fremont 26000

103 3 Hayward 33000

135 4 Livermore 41992

173 5 Newark 50916

179 2 Oakland 53000

199 6 Piedmont 56938

204 4 Pleasanton 57792

242 4 San Leandro 68084

287 4 Union City 81204

999 9 Balance of county 99999

002 000 2 999 9 Alpine 003 6 0000

003 000 2 999 9 Amador 005 5 0000

004 056 1 Butte 007 3 1620

042 5 Chico 13014

184 6 Oroville 54386

193 5 Paradise 55520

999 9 Balance of county 99999

005 000 2 999 9 Calaveras 009 5 0000

006 000 2 999 9 Colusa 011 6 0000

007 201 1 Contra Costa 013 1 5775

Vital Statistics Geographic Code Outline for the United States 18

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

006 4 Antioch 02252

052 3 Concord 16000

064 5 Danville 17988

077 6 El Cerrito 21796

105 6 Hercules 33308

118 6 Lafayette 39122

151 5 Martinez 46114

167 6 Moraga Town 49194

183 6 Orinda 54232

200 6 Pinole 57288

201 5 Pittsburg 57456

203 5 Pleasant Hill 57764

218 4 Richmond 60620

247 5 San Pablo 68294

249 5 San Ramon 68378

295 4 Walnut Creek 83346

999 9 Balance of county 99999

008 000 2 999 9 Del Norte 015 6 0000

009 239 1 El Dorado 017 3 6920

270 6 South Lake Tahoe 73108

999 9 Balance of county 99999

010 104 1 Fresno 019 1 2840

047 4 Clovis 14218

091 2 Fresno 27000

216 6 Reedley 60242

238 6 Sanger 67056

264 6 Selma 70882

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 19

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

011 000 2 999 9 Glenn 021 6 0000

012 000 2 Humboldt 023 3 0000

009 6 Arcata 02476

083 5 Eureka 23042

999 9 Balance of county 99999

013 000 2 Imperial 025 3 0000

027 6 Brawley 08058

032 6 Calexico 09710

076 5 El Centro 21782

999 9 Balance of county 99999

014 000 2 999 9 Inyo 027 6 0000

015 020 1 Kern 029 1 0680

016 3 Bakersfield 03526

066 6 Delano 18394

219 5 Ridgecrest 60704

296 6 Wasco 83542

999 9 Balance of county 99999

016 000 2 Kings 031 3 0000

053 6 Corcoran 16224

100 5 Hanford 31960

134 6 Lemoore 41152

Vital Statistics Geographic Code Outline for the United States 20

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California

06

016 Kings, con. 031 3 0000

999 9 Balance of county 99999

017 000 2 Lake 033 4 0000

046 6 Clearlake 13945

999 9 Balance of county 99999

018 000 2 999 9 Lassen 035 5 0000

019 168 1 Los Angeles 037 0 4480

001 6 Agoura Hills 00394

004 4 Alhambra 00884

008 5 Arcadia 02462

011 6 Artesia 02896

015 5 Azusa 03386

017 4 Baldwin Park 03666

020 5 Bell 04870

021 4 Bellflower 04982

022 5 Bell Gardens 04996

026 5 Beverly Hills 06308

030 4 Burbank 08954

038 4 Carson 11530

041 4 Cerritos 12552

045 5 Claremont 13756

050 6 Commerce 14974

051 4 Compton 15044

057 5 Covina 16742

058 6 Cudahy 17498

059 5 Culver City 17568

Vital Statistics Geographic Code Outline for the United States 21

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

068 4 Diamond Bar 19192

071 4 Downey 19766

072 6 Duarte 19980

078 3 El Monte 22230

080 6 El Segundo 22412

093 5 Gardena 28168

096 3 Glendale 30000

097 5 Glendora 30014

101 6 Hawaiian Gardens 32506

102 4 Hawthorne 32548

106 6 Hermosa Beach 33364

112 4 Huntington Park 36056

115 3 Inglewood 36546

117 6 La Canada Flintridge 39003

123 4 Lakewood 39892

125 5 La Mirada 40032

126 4 Lancaster 40130

128 5 La Puente 40340

131 5 La Verne 40830

132 5 Lawndale 40886

138 6 Lomita 42468

140 2 Long Beach 43000

143 0 Los Angeles 44000

146 4 Lynwood 44574

Vital Statistics Geographic Code Outline for the United States 22

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California

148 5 Manhattan Beach 45400

153 5 Maywood 46492

161 5 Monrovia 48648

163 4 Montebello 48816

165 4 Monterey Park 48914

176 4 Norwalk 52526

188 4 Palmdale 55156

192 6 Palos Verdes Estates 55380

194 5 Paramount 55618

195 3 Pasadena 56000

198 4 Pico Rivera 56924

205 3 Pomona 58072

210 5 Rancho Palos Verdes 59514

214 4 Redondo Beach 60018

223 4 Rosemead 62896

234 5 San Dimas 66070

235 6 San Fernando 66140

237 5 San Gabriel 67042

245 6 San Marino 68224

253 3 Santa Clarita 69088

255 6 Santa Fe Springs 69154

257 4 Santa Monica 70000

265 6 Sierra Madre 71806

268 6 South El Monte 72996

Vital Statistics Geographic Code Outline for the United States 23

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

019 Los Angeles, con. 037 0 4480

269 4 South Gate 73080

271 6 South Pasadena 73220

278 5 Temple City 78148

280 3 Torrance 80000

294 5 Walnut 83332

298 4 West Covina 84200

299 5 West Hollywood 84410

302 4 Whittier 85292

999 9 Balance of county 99999

020 104 1 Madera 039 4 2840

147 5 Madera 45022

999 9 Balance of county 99999

021 250 1 Marin 041 3 7360

130 6 Larkspur 40438

157 6 Mill Valley 47710

177 5 Novato 52582

227 6 San Anselmo 64434

248 5 San Rafael 68364

999 9 Balance of county 99999

022 000 2 999 9 Mariposa 043 6 0000

023 000 2 Mendocino 045 4 0000

286 6 Ukiah 81134

999 9 Balance of county 99999

024 179 1 Merced 047 3 4940

013 6 Atwater 03162

Vital Statistics Geographic Code Outline for the United States 24

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

144 6 Los Banos 44028

155 4 Merced 46898

999 9 Balance of county 99999

025 000 2 999 9 Modoc 049 6 0000

026 000 2 999 9 Mono 051 6 0000

027 245 1 Monterey 053 2 7120

150 5 Marina 45778

164 5 Monterey 48872

187 6 Pacific Grove 54848

226 3 Salinas 64224

263 5 Seaside 70742

999 9 Balance of county 99999

028 290 1 Napa 055 3 8720

171 4 Napa 50258

999 9 Balance of county 99999

029 000 2 999 9 Nevada 057 4 0000

030 207 1 Orange 059 0 5945

005 2 Anaheim 02000

028 5 Brea 08100

029 4 Buena Park 08786

056 4 Costa Mesa 16532

061 5 Cypress 17750

063 5 Dana Point 17946

089 4 Fountain Valley 25380

092 3 Fullerton 28000

Vital Statistics Geographic Code Outline for the United States 25

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

094 3 Garden Grove 29000

111 3 Huntington Beach 36000

116 3 Irvine 36770

119 6 Laguna Beach 39178

120 5 Laguna Niguel 39248

121 4 La Habra 39290

127 6 La Palma 40256

141 6 Los Alamitos 43224

159 4 Mission Viejo 48256

174 4 Newport Beach 51182

182 3 Orange 53980

202 5 Placentia 57526

232 5 San Clemente 65084

241 5 San Juan Capistrano 68028

250 2 Santa Ana 69000

262 5 Seal Beach 70686

273 5 Stanton 73962

284 4 Tustin 80854

300 4 Westminster 84550

304 4 Yorba Linda 86832

999 9 Balance of county 99999

031 239 1 Placer 061 3 6920

014 6 Auburn 03204

Vital Statistics Geographic Code Outline for the United States 26

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

031 Placer, con. 061 3 6920

221 6 Rocklin 62364

224 5 Roseville 62938

999 9 Balance of county 99999

032 000 2 999 9 Plumas 063 6 0000

033 233 1 Riverside 065 0 6780

018 6 Banning 03820

039 5 Cathedral City 12048

048 6 Coachella 14260

054 4 Corona 16350

067 6 Desert Hot Springs 18996

104 5 Hemet 33182

114 5 Indio 36448

122 6 Lake Elsinore 39486

129 6 La Quinta 40354

168 3 Moreno Valley 49270

175 6 Norco 51560

189 6 Palm Desert 55184

190 5 Palm Springs 55254

196 6 Perris 56700

220 3 Riverside 62000

239 6 San Jacinto 67112

277 5 Temecula 78120

999 9 Balance of county 99999

034 239 1 Sacramento 067 0 6920

086 5 Folsom 24638

225 2 Sacramento 64000

999 9 Balance of county 99999

035 000 2 San Benito 069 5 0000

110 6 Hollister 34120

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 27

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

036 233 1 San Bernardino 071 0 6780

007 5 Apple Valley 02364

019 6 Barstow 04030

043 4 Chino 13210

049 5 Colton 14890

087 4 Fontana 24680

098 6 Grand Terrace 30658

107 4 Hesperia 33434

108 5 Highland 33588

137 6 Loma Linda 42370

162 5 Montclair 48788

181 3 Ontario 53896

209 3 Rancho Cucamonga 59451

213 4 Redlands 59962

217 4 Rialto 60466

228 3 San Bernardino 65000

285 6 Twentynine Palms 80994

288 4 Upland 81344

291 5 Victorville 82590

306 5 Yucaipa 87042

999 9 Balance of county 99999

037 249 1 San Diego 073 0 7320

036 4 Carlsbad 11194

044 3 Chula Vista 13392

055 5 Coronado 16378

075 4 El Cajon 21712

081 4 Encinitas 22678

082 3 Escondido 22804

113 5 Imperial Beach 36294

124 4 La Mesa 40004

133 6 Lemon Grove 41124

172 4 National City 50398

Vital Statistics Geographic Code Outline for the United States 28

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

180 3 Oceanside 53322

208 5 Poway 58520

233 0 San Diego 66000

244 5 San Marcos 68196

260 4 Santee 70224

267 6 Solana Beach 72506

293 4 Vista 82996

999 9 Balance of county 99999

038 250 1 236 1 San Francisco, coext. with San Francisco 075 1 7360 67000

039 274 1 San Joaquin 077 2 8120

136 4 Lodi 42202

Vital Statistics Geographic Code Outline for the United States 29

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

039 San Joaquin, con. 077 2 8120

149 5 Manteca 45484

274 3 Stockton 75000

281 5 Tracy 80238

999 9 Balance of county 99999

040 252 1 San Luis Obispo 079 3 7460

010 6 Arroyo Grande 02868

012 6 Atascadero 03064

079 6 El Paso de Robles 22300

099 6 Grover City 31400

243 5 San Luis Obispo 68154

999 9 Balance of county 99999

041 250 1 San Mateo 081 1 7360

023 6 Belmont 05108

031 5 Burlingame 09066

062 4 Daly City 17918

074 6 East Palo Alto 20956

088 5 Foster City 25338

109 6 Hillsborough 33798

154 5 Menlo Park 46870

156 6 Millbrae 47486

186 5 Pacifica 54806

215 4 Redwood City 60102

229 5 San Bruno 65028

231 5 San Carlos 65070

246 4 San Mateo 68252

272 4 South San Francisco 73262

999 9 Balance of county 99999

042 253 1 Santa Barbara 083 2 7480

037 6 Carpinteria 11446

Vital Statistics Geographic Code Outline for the United States 30

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

139 5 Lompoc 42524

251 4 Santa Barbara 69070

256 4 Santa Maria 69196

999 9 Balance of county 99999

043 251 1 Santa Clara 085 0 7400

034 5 Campbell 10340

060 5 Cupertino 17610

095 5 Gilroy 29504

142 5 Los Altos 43280

145 5 Los Gatos 44112

158 4 Milpitas 47766

169 6 Morgan Hill 49278

170 4 Mountain View 49670

191 4 Palo Alto 55282

240 1 San Jose 68000

252 4 Santa Clara 69084

261 5 Saratoga 70280

276 3 Sunnyvale 77000

999 9 Balance of county 99999

044 254 1 Santa Cruz 087 3 7485

035 6 Capitola 11040

254 5 Santa Cruz 69112

297 5 Watsonville 83668

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 31

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

045 229 1 Shasta 089 3 6690

212 4 Redding 59920

999 9 Balance of county 99999

046 000 2 999 9 Sierra 091 6 0000

047 000 2 999 9 Siskiyou 093 5 0000

048 290 1 Solano 095 2 8720

024 6 Benicia 05290

070 6 Dixon 19402

084 4 Fairfield 23182

275 6 Suisun City 75630

289 4 Vacaville 81554

290 3 Vallejo 81666

999 9 Balance of county 99999

049 256 1 Sonoma 097 2 7500

197 5 Petaluma 56784

222 5 Rohnert Park 62546

259 3 Santa Rosa 70098

999 9 Balance of county 99999

050 185 1 Stanislaus 099 2 5170

040 5 Ceres 12524

Vital Statistics Geographic Code Outline for the United States 32

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

050 Stanislaus, con. 099 2 5170

160 3 Modesto 48354

178 6 Oakdale 52694

283 5 Turlock 80812

999 9 Balance of county 99999

051 310 1 Sutter 101 4 9340

305 5 Yuba City 86972

999 9 Balance of county 99999

052 000 2 Tehama 103 5 0000

211 6 Red Bluff 59892

999 9 Balance of county 99999

053 000 2 999 9 Trinity 105 6 0000

054 294 1 Tulare 107 2 8780

069 6 Dinuba 19318

206 5 Porterville 58240

282 5 Tulare 80644

292 4 Visalia 82954

999 9 Balance of county 99999

055 000 2 999 9 Tuolumne 109 5 0000

056 291 1 Ventura 111 1 8735

033 4 Camarillo 10046

085 6 Fillmore 24092

166 5 Moorpark 49138

185 3 Oxnard 54652

207 6 Port Hueneme 58296

230 4 San Buenaventura (Ventura) 65042

258 5 Santa Paula 70042

266 3 Simi Valley 72016

279 3 Thousand Oaks 78582

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 33

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

05 California 06

057 307 1 Yolo 113 3 9270

065 5 Davis 18100

301 5 West Sacramento 84816

303 5 Woodland 86328

999 9 Balance of county 99999

058 310 1 Yuba 115 4 9340

152 6 Marysville 46170

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 34

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

06 Colorado 08

001 074 1 Adams 001 2 2080

001 4 Arvada, part 03455

002 3 Aurora, part 04000

004 6 Brighton, part 08675

005 6 Broomfield, part 09280

008 6 Commerce City 16495

023 5 Northglenn 54330

026 4 Thornton 77290

027 4 Westminster, part 83835

999 9 Balance of county 99999

002 000 2 999 9 Alamosa 003 6 0000

003 074 1 Arapahoe 005 2 2080

002 3 Aurora, part 04000

011 5 Englewood 24785

019 5 Littleton, part 45255

999 9 Balance of county 99999

004 000 2 999 9 Archuleta 007 6 0000

005 000 2 999 9 Baca 009 6 0000

006 000 2 999 9 Bent 011 6 0000

007 038 1 Boulder 013 3 1125

003 4 Boulder 07850

005 6 Broomfield, part 09280

017 6 Lafayette 41835

020 4 Longmont 45970

021 6 Louisville 46355

999 9 Balance of county 99999

008 000 2 999 9 Chaffee 015 6 0000

009 000 2 999 9 Cheyenne 017 6 0000

010 000 2 999 9 Clear Creek 019 6 0000

011 000 2 999 9 Conejos 021 6 0000

Vital Statistics Geographic Code Outline for the United States 35

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

06 Colorado 08

012 000 2 999 9 Costilla 023 6 0000

013 000 2 999 9 Crowley 025 6 0000

014 000 2 999 9 Custer 027 6 0000

015 000 2 999 9 Delta 029 6 0000

016 074 1 009 2 Denver, coext. with Denver city 031 2 2080 20000

017 000 2 999 9 Dolores 033 6 0000

018 074 1 Douglas 035 4 2080

002 3 Aurora, part 04000

019 5 Littleton, part 45255

999 9 Balance of county 99999

019 000 2 999 9 Eagle 037 6 0000

020 000 2 999 9 Elbert 039 6 0000

021 060 1 El Paso 041 2 1720

007 2 Colorado Springs 16000

013 6 Fountain 27865

999 9 Balance of county 99999

022 000 2 Fremont 043 5 0000

006 6 Canon City 11810

999 9 Balance of county 99999

023 000 2 999 9 Garfield 045 5 0000

024 000 2 999 9 Gilpin 047 6 0000

025 000 2 999 9 Grand 049 6 0000

026 000 2 999 9 Gunnison 051 6 0000

027 000 2 999 9 Hinsdale 053 6 0000

Vital Statistics Geographic Code Outline for the United States 36

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

06 Colorado 08

028 000 2 999 9 Huerfano 055 6 0000

029 000 2 999 9 Jackson 057 6 0000

030 074 1 Jefferson 059 2 2080

001 4 Arvada, part 03455

005 6 Broomfield, part 09280

014 6 Golden 30835

018 3 Lakewood 43000

027 4 Westminster, part 83835

028 5 Wheat Ridge 84440

999 9 Balance of county 99999

031 000 2 999 9 Kiowa 061 6 0000

032 000 2 999 9 Kit Carson 063 6 0000

033 000 2 999 9 Lake 065 6 0000

034 000 2 La Plata 067 5 0000

010 6 Durango 22035

999 9 Balance of county 99999

035 096 1 Larimer 069 3 2670

012 4 Fort Collins 27425

022 5 Loveland 46465

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 37

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

06 Colorado 08

036 000 2 999 9 Las Animas 071 6 0000

037 000 2 999 9 Lincoln 073 6 0000

038 000 2 Logan 075 6 0000

025 6 Sterling 73935

999 9 Balance of county 99999

039 000 2 Mesa 077 4 0000

015 5 Grand Junction 31660

999 9 Balance of county 99999

040 000 2 999 9 Mineral 079 6 0000

041 000 2 999 9 Moffat 081 6 0000

042 000 2 999 9 Montezuma 083 6 0000

043 000 2 999 9 Montrose 085 6 0000

044 000 2 999 9 Morgan 087 6 0000

045 000 2 999 9 Otero 089 6 0000

046 000 2 999 9 Ouray 091 6 0000

047 000 2 999 9 Park 093 6 0000

048 000 2 999 9 Phillips 095 6 0000

049 000 2 999 9 Pitkin 097 6 0000

050 000 2 999 9 Prowers 099 6 0000

051 223 1 Pueblo 101 3 6560

024 4 Pueblo 62000

999 9 Balance of county 99999

052 000 2 999 9 Rio Blanco 103 6 0000

053 000 2 999 9 Rio Grande 105 6 0000

054 000 2 999 9 Routt 107 6 0000

055 000 2 999 9 Saguache 109 6 0000

056 000 2 999 9 San Juan 111 6 0000

057 000 2 999 9 San Miguel 113 6 0000

058 000 2 999 9 Sedgwick 115 6 0000

059 000 2 999 9 Summit 117 6 0000

Vital Statistics Geographic Code Outline for the United States 38

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

06 Colorado 08

060 000 2 999 9 Teller 119 6 0000

061 000 2 999 9 Washington 121 6 0000

062 114 1 Weld 123 3 3060

004 6 Brighton, part 08675

005 6 Broomfield, part 09280

016 4 Greeley 32155

999 9 Balance of county 99999

063 000 2 999 9 Yuma 125 6 0000

Vital Statistics Geographic Code Outline for the United States 39

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

07 Connecticut 09

001 194 1 Fairfield 001 1 5483

002 6 Bethel town 04720

004 3 Bridgeport 08000

007 4 Danbury 18430

008 6 Darien town 18920

014 4 Fairfield town 26620

016 4 Greenwich town 33620

029 4 Norwalk 55990

033 5 Shelton 68100

035 3 Stamford 73000

036 5 Stratford town 74260

038 5 Trumbull town 77270

044 6 Westport town 83500

999 9 Balance of county 99999

002 122 1 Hartford 003 1 3283

005 4 Bristol 08420

011 4 East Hartford town 22630

013 5 Enfield town 25990

015 5 Glastonbury town 31240

018 3 Hartford 37000

019 4 Manchester town 44700

024 4 New Britain 50370

026 5 Newington town 52210

031 6 Plainville town 60120

032 6 Rocky Hill town 65370

034 5 Southington town 70550

042 4 West Hartford town 82590

045 5 Wethersfield town 84900

046 6 Windsor Locks town 87070

047 5 Windsor town 87000

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 40

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

07 Connecticut 09

003 000 2 Litchfield 005 3 0000

037 5 Torrington 76500

999 9 Balance of county 99999

004 122 1 Middlesex 007 3 3283

021 5 Middletown 47290

999 9 Balance of county 99999

005 194 1 New Haven 009 1 5483

001 6 Ansonia 01150

003 5 Branford town 07310

006 5 Cheshire town 14160

009 6 Derby 19480

012 5 East Haven town 22980

017 4 Hamden town 35650

020 4 Meriden 46450

022 5 Milford 47500

023 5 Naugatuck borough 49880

025 3 New Haven 52000

028 6 North Haven town 54870

040 5 Wallingford town 78740

041 3 Waterbury 80000

043 4 West Haven 82800

999 9 Balance of county 99999

006 195 1 New London 011 2 5523

Vital Statistics Geographic Code Outline for the United States 41

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

07 Connecticut 09

027 5 New London 52280

030 5 Norwich 56200

999 9 Balance of county 99999

007 122 1 Tolland 013 3 3283

039 5 Vernon town 78250

999 9 Balance of county 99999

008 000 2 999 9 Windham 015 3 0000

Vital Statistics Geographic Code Outline for the United States 42

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

08 Delaware 10

001 078 1 Kent 001 3 2190

001 5 Dover 21200

999 9 Balance of county 99999

002 304 1 New Castle 003 2 9160

002 5 Newark 50670

003 4 Wilmington 77580

999 9 Balance of county 99999

003 000 2 999 9 Sussex 005 3 0000

Vital Statistics Geographic Code Outline for the United States 43

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

09 001 296 1 001 1 District of Columbia 11 001 1 8840

Vital Statistics Geographic Code Outline for the United States 44

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

001 106 1 Alachua 001 3 2900

032 4 Gainesville 25175

999 9 Balance of county 99999

002 000 2 999 9 Baker 003 6 0000

003 210 1 Bay 005 3 6015

009 6 Callaway 09725

080 5 Panama City 54700

999 9 Balance of county 99999

004 000 2 999 9 Bradford 007 6 0000

005 177 1 Brevard 009 2 4900

013 6 Cocoa 13150

014 6 Cocoa Beach 13175

055 4 Melbourne 43975

078 4 Palm Bay 54000

091 6 Rockledge 61500

110 5 Titusville 71900

999 9 Balance of county 99999

006 097 1 Broward 011 0 2680

015 5 Coconut Creek 13275

016 6 Cooper City 14125

018 4 Coral Springs 14400

019 6 Dania 16325

020 5 Davie 16475

022 5 Deerfield Beach 16725

028 3 Fort Lauderdale 24000

036 5 Hallandale 28450

039 3 Hollywood 32000

049 5 Lauderdale Lakes 39525

050 5 Lauderhill 39550

052 6 Lighthouse Point 40450

Vital Statistics Geographic Code Outline for the United States 45

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

054 5 Margate 43125

060 5 Miramar 45975

065 5 North Lauderdale 49425

070 5 Oakland Park 50575

081 4 Pembroke Pines 55775

084 4 Plantation 57425

086 4 Pompano Beach 58050

103 4 Sunrise 69700

106 5 Tamarac 70675

114 6 Wilton Manors 78000

999 9 Balance of county 99999

007 000 2 999 9 Calhoun 013 6 0000

008 224 1 Charlotte 015 3 6580

089 6 Punta Gorda 59200

999 9 Balance of county 99999

009 000 2 999 9 Citrus 017 4 0000

010 135 1 999 9 Clay 019 3 3600

011 191 1 Collier 021 3 5345

061 6 Naples 47625

999 9 Balance of county 99999

012 000 2 999 9 Columbia 023 5 0000

013 180 1 Dade 025 0 5000

017 5 Coral Gables 14250

037 3 Hialeah 30000

040 5 Homestead 32275

056 2 Miami 45000

057 4 Miami Beach 45025

058 6 Miami Shores 45175

059 6 Miami Springs 45200

066 5 North Miami 49450

067 5 North Miami Beach 49475

073 6 Opa-locka 51650

101 6 South Miami 67550

Vital Statistics Geographic Code Outline for the United States 46

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

104 6 Sweetwater 70275

999 9 Balance of county 99999

014 000 2 999 9 De Soto 027 6 0000

015 000 2 999 9 Dixie 029 6 0000

016 135 1 Duval 031 1 3600

003 6 Atlantic Beach 02400

041 1 Jacksonville 35000

042 6 Jacksonville Beach 35050

999 9 Balance of county 99999

017 212 1 Escambia 033 2 6080

082 4 Pensacola 55925

Vital Statistics Geographic Code Outline for the United States 47

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

017 Escambia, con. 033 2 6080

999 9 Balance of county 99999

018 071 1 999 9 Flagler 035 5 2020

019 000 2 999 9 Franklin 037 6 0000

020 278 1 999 9 Gadsden 039 5 8240

021 000 2 999 9 Gilchrist 041 6 0000

022 000 2 999 9 Glades 043 6 0000

023 000 2 999 9 Gulf 045 6 0000

024 000 2 999 9 Hamilton 047 6 0000

025 000 2 999 9 Hardee 049 6 0000

026 000 2 999 9 Hendry 051 5 0000

027 279 1 999 9 Hernando 053 3 8280

028 000 2 999 9 Highlands 055 4 0000

029 279 1 Hillsborough 057 1 8280

085 6 Plant City 57550

107 2 Tampa 71000

109 6 Temple Terrace 71400

999 9 Balance of county 99999

030 000 2 999 9 Holmes 059 6 0000

031 000 2 Indian River 061 4 0000

099 6 Sebastian 64825

112 6 Vero Beach 74150

999 9 Balance of county 99999

032 000 2 999 9 Jackson 063 5 0000

033 000 2 999 9 Jefferson 065 6 0000

034 000 2 999 9 Lafayette 067 6 0000

035 208 1 Lake 069 3 5960

027 6 Eustis 21350

051 6 Leesburg 39875

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 48

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

036 098 1 Lee 071 2 2700

010 4 Cape Coral 10275

029 5 Fort Myers 24125

999 9 Balance of county 99999

037 278 1 Leon 073 3 8240

105 3 Tallahassee 70600

999 9 Balance of county 99999

038 000 2 999 9 Levy 075 5 0000

039 000 2 999 9 Liberty 077 6 0000

040 000 2 999 9 Madison 079 6 0000

041 257 1 Manatee 081 3 7510

008 5 Bradenton 07950

999 9 Balance of county 99999

042 202 1 Marion 083 3 5790

071 5 Ocala 50750

999 9 Balance of county 99999

043 099 1 Martin 085 3 2710

102 6 Stuart 68875

999 9 Balance of county 99999

044 000 2 Monroe 087 4 0000

044 6 Key West 36550

999 9 Balance of county 99999

045 135 1 999 9 Nassau 089 5 3600

046 101 1 Okaloosa 091 3 2750

031 6 Fort Walton Beach 24475

064 6 Niceville 48750

999 9 Balance of county 99999

047 000 2 999 9 Okeechobee 093 5 0000

048 208 1 Orange 095 1 5960

002 6 Apopka 01700

072 6 Ocoee 51075

Vital Statistics Geographic Code Outline for the United States 49

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

074 3 Orlando 53000

116 6 Winter Park 78300

999 9 Balance of county 99999

049 208 1 Osceola 097 3 5960

045 5 Kissimmee 36950

095 6 St. Cloud 62625

999 9 Balance of county 99999

050 299 1 Palm Beach 099 1 8960

005 6 Belle Glade 05200

006 4 Boca Raton 07300

007 5 Boynton Beach 07875

024 5 Delray Beach 17100

033 6 Greenacres City 27325

Vital Statistics Geographic Code Outline for the United States 50

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

050 Palm Beach, con. 099 1 8960

043 6 Jupiter 35875

047 5 Lake Worth 39075

068 6 North Palm Beach 49600

079 6 Palm Beach Gardens 54075

090 5 Riviera Beach 60975

092 6 Royal Palm Beach 62100

113 4 West Palm Beach 76600

999 9 Balance of county 99999

051 279 1 Pasco 101 2 8280

062 6 New Port Richey 48500

999 9 Balance of county 99999

052 279 1 Pinellas 103 1 8280

012 4 Clearwater 12875

025 5 Dunedin 18575

034 6 Gulfport 28175

048 4 Largo 39425

083 5 Pinellas Park 56975

093 6 Safety Harbor 62425

096 3 St. Petersburg 63000

108 6 Tarpon Springs 71150

999 9 Balance of county 99999

053 154 1 Polk 105 2 3980

004 6 Bartow 03675

035 6 Haines City 28400

046 4 Lakeland 38250

115 6 Winter Haven 78275

999 9 Balance of county 99999

054 000 2 Putnam 107 4 0000

077 6 Palatka 53875

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 51

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

055 135 1 St. Johns 109 4 3600

094 6 St. Augustine 62500

999 9 Balance of county 99999

056 099 1 St. Lucie 111 3 2710

030 5 Fort Pierce 24300

088 4 Port St. Lucie 58725

999 9 Balance of county 99999

057 212 1 999 9 Santa Rosa 113 4 6080

058 257 1 Sarasota 115 2 7510

069 6 North Port 49675

098 4 Sarasota 64175

111 6 Venice 73900

999 9 Balance of county 99999

059 208 1 Seminole 117 2 5960

001 5 Altamonte Springs 00950

011 6 Casselberry 11050

053 6 Longwood 41250

076 6 Oviedo 53575

097 5 Sanford 63650

117 6 Winter Springs 78325

999 9 Balance of county 99999

060 000 2 999 9 Sumter 119 5 0000

061 000 2 999 9 Suwannee 121 5 0000

062 000 2 999 9 Taylor 123 6 0000

063 000 2 999 9 Union 125 6 0000

064 071 1 Volusia 127 2 2020

021 4 Daytona Beach 16525

023 6 DeLand 16875

026 6 Edgewater 19825

038 6 Holly Hill 31350

063 6 New Smyrna Beach 48625

Vital Statistics Geographic Code Outline for the United States 52

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

10 Florida 12

075 5 Ormond Beach 53150

087 5 Port Orange 58575

100 6 South Daytona 67325

999 9 Balance of county 99999

065 000 2 999 9 Wakulla 129 6 0000

066 000 2 999 9 Walton 131 5 0000

067 000 2 999 9 Washington 133 6 0000

Vital Statistics Geographic Code Outline for the United States 53

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

001 000 2 999 9 Appling 001 6 0000

002 000 2 999 9 Atkinson 003 6 0000

003 000 2 999 9 Bacon 005 6 0000

004 000 2 999 9 Baker 007 6 0000

005 000 2 Baldwin 009 5 0000

029 6 Milledgeville 51492

999 9 Balance of county 99999

006 000 2 999 9 Banks 011 6 0000

007 016 1 999 9 Barrow 013 5 0520

008 016 1 Bartow 015 4 0520

010 6 Cartersville 13688

999 9 Balance of county 99999

009 000 2 999 9 Ben Hill 017 6 0000

010 000 2 999 9 Berrien 019 6 0000

011 172 1 Bibb 021 3 4680

027 3 Macon, part 49000

999 9 Balance of county 99999

012 000 2 999 9 Bleckley 023 6 0000

013 000 2 999 9 Brantley 025 6 0000

014 000 2 999 9 Brooks 027 6 0000

015 258 1 999 9 Bryan 029 6 7520

016 000 2 Bulloch 031 5 0000

038 6 Statesboro 73256

999 9 Balance of county 99999

017 000 2 999 9 Burke 033 6 0000

018 000 2 999 9 Butts 035 6 0000

019 000 2 999 9 Calhoun 037 6 0000

020 000 2 999 9 Camden 039 5 0000

021 000 2 999 9 Candler 043 6 0000

022 016 1 Carroll 045 4 0520

Vital Statistics Geographic Code Outline for the United States 54

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

009 6 Carrollton 13492

999 9 Balance of county 99999

023 053 1 999 9 Catoosa 047 5 1560

024 000 2 999 9 Charlton 049 6 0000

025 258 1 Chatham 051 3 7520

035 3 Savannah 69000

999 9 Balance of county 99999

026 063 1 999 9 Chattahoochee 053 6 1800

027 000 2 999 9 Chattooga 055 6 0000

028 016 1 999 9 Cherokee 057 4 0520

029 015 1 Clarke 059 4 0500

004 5 Athens 03432

999 9 Balance of county 99999

030 000 2 999 9 Clay 061 6 0000

031 016 1 Clayton 063 3 0520

011 6 College Park, part 17776

021 6 Forest Park 30536

999 9 Balance of county 99999

032 000 2 999 9 Clinch 065 6 0000

033 016 1 Cobb 067 2 0520

028 5 Marietta 49756

036 5 Smyrna 71492

999 9 Balance of county 99999

034 000 2 Coffee 069 5 0000

017 6 Douglas 23872

999 9 Balance of county 99999

035 000 2 Colquitt 071 5 0000

030 6 Moultrie 53060

999 9 Balance of county 99999

036 018 1 999 9 Columbia 073 4 0600

037 000 2 999 9 Cook 075 6 0000

Vital Statistics Geographic Code Outline for the United States 55

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

038 016 1 Coweta 077 4 0520

031 6 Newnan 55020

999 9 Balance of county 99999

039 000 2 999 9 Crawford 079 6 0000

040 000 2 Crisp 081 6 0000

013 6 Cordele 19616

999 9 Balance of county 99999

041 053 1 999 9 Dade 083 6 1560

042 000 2 999 9 Dawson 085 6 0000

043 000 2 Decatur 087 5 0000

007 6 Bainbridge 04896

999 9 Balance of county 99999

044 016 1 De Kalb 089 1 0520

005 2 Atlanta, part 04000

Vital Statistics Geographic Code Outline for the United States 56

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

044 De Kalb, con. 089 1 0520

016 6 Decatur 22052

999 9 Balance of county 99999

045 000 2 999 9 Dodge 091 6 0000

046 000 2 999 9 Dooly 093 6 0000

047 003 1 Dougherty 095 4 0120

001 4 Albany 01052

999 9 Balance of county 99999

048 016 1 Douglas 097 4 0520

018 6 Douglasville 23900

999 9 Balance of county 99999

049 000 2 999 9 Early 099 6 0000

050 000 2 999 9 Echols 101 6 0000

051 258 1 999 9 Effingham 103 5 7520

052 000 2 999 9 Elbert 105 6 0000

053 000 2 999 9 Emanuel 107 6 0000

054 000 2 999 9 Evans 109 6 0000

055 000 2 999 9 Fannin 111 6 0000

056 016 1 Fayette 113 4 0520

032 6 Peachtree City 59724

999 9 Balance of county 99999

057 000 2 Floyd 115 4 0000

033 5 Rome 66668

999 9 Balance of county 99999

058 016 1 999 9 Forsyth 117 5 0520

059 000 2 999 9 Franklin 119 6 0000

060 016 1 Fulton 121 1 0520

002 6 Alpharetta 01696

005 2 Atlanta, part 04000

011 6 College Park, part 17776

Vital Statistics Geographic Code Outline for the United States 57

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

020 5 East Point 25720

034 5 Roswell 67284

999 9 Balance of county 99999

061 000 2 999 9 Gilmer 123 6 0000

062 000 2 999 9 Glascock 125 6 0000

063 000 2 Glynn 127 4 0000

008 6 Brunswick 11560

999 9 Balance of county 99999

064 000 2 999 9 Gordon 129 5 0000

065 000 2 999 9 Grady 131 6 0000

066 000 2 999 9 Greene 133 6 0000

067 016 1 Gwinnett 135 2 0520

026 6 Lawrenceville 45488

037 6 Snellville 71604

999 9 Balance of county 99999

068 000 2 999 9 Habersham 137 5 0000

069 000 2 Hall 139 4 0000

022 6 Gainesville 31908

999 9 Balance of county 99999

070 000 2 999 9 Hancock 141 6 0000

071 000 2 999 9 Haralson 143 6 0000

072 063 1 999 9 Harris 145 6 1800

073 000 2 999 9 Hart 147 6 0000

074 000 2 999 9 Heard 149 6 0000

075 016 1 999 9 Henry 151 4 0520

076 172 1 Houston 153 4 4680

043 5 Warner Robins 80508

999 9 Balance of county 99999

077 000 2 999 9 Irwin 155 6 0000

078 000 2 999 9 Jackson 157 5 0000

079 000 2 999 9 Jasper 159 6 0000

Vital Statistics Geographic Code Outline for the United States 58

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

080 000 2 999 9 Jeff Davis 161 6 0000

081 000 2 999 9 Jefferson 163 6 0000

082 000 2 999 9 Jenkins 165 6 0000

083 000 2 999 9 Johnson 167 6 0000

084 172 1 Jones 169 6 4680

027 3 Macon, part 49000

999 9 Balance of county 99999

085 000 2 999 9 Lamar 171 6 0000

086 000 2 999 9 Lanier 173 6 0000

087 000 2 Laurens 175 5 0000

019 6 Dublin 24376

999 9 Balance of county 99999

088 003 1 999 9 Lee 177 6 0120

Vital Statistics Geographic Code Outline for the United States 59

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

089 000 2 Liberty 179 4 0000

024 6 Hinesville 38964

999 9 Balance of county 99999

090 000 2 999 9 Lincoln 181 6 0000

091 000 2 999 9 Long 183 6 0000

092 000 2 Lowndes 185 4 0000

041 5 Valdosta 78800

999 9 Balance of county 99999

093 000 2 999 9 Lumpkin 187 6 0000

094 018 1 999 9 McDuffie 189 6 0600

095 000 2 999 9 McIntosh 191 6 0000

096 000 2 999 9 Macon 193 6 0000

097 015 1 999 9 Madison 195 6 0500

098 000 2 999 9 Marion 197 6 0000

099 000 2 999 9 Meriwether 199 6 0000

100 000 2 999 9 Miller 201 6 0000

101 000 2 999 9 Mitchell 205 6 0000

102 000 2 999 9 Monroe 207 6 0000

103 000 2 Montgomery 209 6 0000

042 6 Vidalia, part 79388

999 9 Balance of county 99999

104 000 2 999 9 Morgan 211 6 0000

105 000 2 999 9 Murray 213 5 0000

106 063 1 Muscogee 215 3 1800

012 3 Columbus 19000

999 9 Balance of county 99999

107 016 1 Newton 217 5 0520

014 6 Covington 20064

999 9 Balance of county 99999

108 015 1 999 9 Oconee 219 6 0500

Vital Statistics Geographic Code Outline for the United States 60

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

109 000 2 999 9 Oglethorpe 221 6 0000

110 016 1 999 9 Paulding 223 5 0520

111 172 1 999 9 Peach 225 6 4680

112 016 1 999 9 Pickens 227 6 0520

113 000 2 Pierce 229 6 0000

044 6 Waycross, part 80956

999 9 Balance of county 99999

114 000 2 999 9 Pike 231 6 0000

115 000 2 999 9 Polk 233 5 0000

116 000 2 999 9 Pulaski 235 6 0000

117 000 2 999 9 Putnam 237 6 0000

118 000 2 999 9 Quitman 239 6 0000

119 000 2 999 9 Rabun 241 6 0000

120 000 2 999 9 Randolph 243 6 0000

121 018 1 Richmond 245 3 0600

006 5 Augusta 04196

999 9 Balance of county 99999

122 016 1 999 9 Rockdale 247 4 0520

123 000 2 999 9 Schley 249 6 0000

124 000 2 999 9 Screven 251 6 0000

125 000 2 999 9 Seminole 253 6 0000

126 016 1 Spalding 255 4 0520

023 6 Griffin 35324

999 9 Balance of county 99999

127 000 2 999 9 Stephens 257 6 0000

128 000 2 999 9 Stewart 259 6 0000

129 000 2 Sumter 261 5 0000

003 6 Americus 02116

999 9 Balance of county 99999

130 000 2 999 9 Talbot 263 6 0000

131 000 2 999 9 Taliaferro 265 6 0000

Vital Statistics Geographic Code Outline for the United States 61

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

132 000 2 999 9 Tattnall 267 6 0000

133 000 2 999 9 Taylor 269 6 0000

134 000 2 999 9 Telfair 271 6 0000

135 000 2 999 9 Terrell 273 6 0000

136 000 2 Thomas 275 5 0000

039 6 Thomasville 76224

999 9 Balance of county 99999

137 000 2 Tift 277 5 0000

040 6 Tifton 76476

999 9 Balance of county 99999

138 000 2 Toombs 279 6 0000

042 6 Vidalia, part 79388

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 62

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

11 Georgia 13

139 000 2 999 9 Towns 281 6 0000

140 000 2 999 9 Treutlen 283 6 0000

141 000 2 Troup 285 4 0000

025 5 La Grange 44340

999 9 Balance of county 99999

142 000 2 999 9 Turner 287 6 0000

143 172 1 999 9 Twiggs 289 6 4680

144 000 2 999 9 Union 291 6 0000

145 000 2 999 9 Upson 293 5 0000

146 053 1 999 9 Walker 295 4 1560

147 016 1 999 9 Walton 297 5 0520

148 000 2 Ware 299 5 0000

044 6 Waycross, part 80956

999 9 Balance of county 99999

149 000 2 999 9 Warren 301 6 0000

150 000 2 999 9 Washington 303 6 0000

151 000 2 999 9 Wayne 305 6 0000

152 000 2 999 9 Webster 307 6 0000

153 000 2 999 9 Wheeler 309 6 0000

154 000 2 999 9 White 311 6 0000

155 000 2 Whitfield 313 4 0000

015 6 Dalton 21380

999 9 Balance of county 99999

156 000 2 999 9 Wilcox 315 6 0000

157 000 2 999 9 Wilkes 317 6 0000

158 000 2 999 9 Wilkinson 319 6 0000

159 000 2 999 9 Worth 321 6 0000

Vital Statistics Geographic Code Outline for the United States 63

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

12 Hawaii 15

001 000 2 Hawaii 001 3 0000

002 5 Hilo 14650

999 9 Balance of county 99999

002 125 1 Honolulu 003 1 3320

001 6 Ewa Beach 07450

003 2 Honolulu 17000

005 5 Kailua 23150

006 5 Kaneohe 28250

007 5 Mililani Town 51050

008 5 Pearl City 62600

009 6 Schofield Barracks 69050

010 6 Wahiawa 72650

012 5 Waipahu 79700

999 9 Balance of county 99999

003 000 2 999 9 Kalawao 005 6 0000

004 000 2 999 9 Kauai 007 4 0000

005 000 2 Maui 009 3 0000

004 6 Kahului 22700

011 6 Wailuku 77450

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 64

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

13 Idaho 16

001 036 1 Ada 001 3 1080

001 3 Boise City 08830

999 9 Balance of county 99999

002 000 2 999 9 Adams 003 6 0000

003 000 2 Bannock 005 4 0000

008 5 Pocatello, part 64090

999 9 Balance of county 99999

004 000 2 999 9 Bear Lake 007 6 0000

005 000 2 999 9 Benewah 009 6 0000

006 000 2 999 9 Bingham 011 5 0000

007 000 2 999 9 Blaine 013 6 0000

008 000 2 999 9 Boise 015 6 0000

009 000 2 999 9 Bonner 017 5 0000

010 000 2 Bonneville 019 4 0000

004 5 Idaho Falls 39700

999 9 Balance of county 99999

011 000 2 999 9 Boundary 021 6 0000

012 000 2 999 9 Butte 023 6 0000

013 000 2 999 9 Camas 025 6 0000

014 036 1 Canyon 027 4 1080

002 6 Caldwell 12250

007 5 Nampa 56260

999 9 Balance of county 99999

015 000 2 999 9 Caribou 029 6 0000

016 000 2 999 9 Cassia 031 6 0000

017 000 2 999 9 Clark 033 6 0000

018 000 2 999 9 Clearwater 035 6 0000

019 000 2 999 9 Custer 037 6 0000

020 000 2 999 9 Elmore 039 6 0000

021 000 2 999 9 Franklin 041 6 0000

022 000 2 999 9 Fremont 043 6 0000

Vital Statistics Geographic Code Outline for the United States 65

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

13 Idaho 16

023 000 2 999 9 Gem 045 6 0000

024 000 2 999 9 Gooding 047 6 0000

025 000 2 999 9 Idaho 049 6 0000

026 000 2 999 9 Jefferson 051 6 0000

027 000 2 999 9 Jerome 053 6 0000

028 000 2 Kootenai 055 4 0000

003 6 Coeur d'Alene 16750

999 9 Balance of county 99999

029 000 2 Latah 057 5 0000

006 6 Moscow 54550

999 9 Balance of county 99999

030 000 2 999 9 Lemhi 059 6 0000

031 000 2 999 9 Lewis 061 6 0000

032 000 2 999 9 Lincoln 063 6 0000

033 000 2 Madison 065 6 0000

009 6 Rexburg 67420

999 9 Balance of county 99999

034 000 2 999 9 Minidoka 067 6 0000

035 000 2 Nez Perce 069 5 0000

005 5 Lewiston 46540

999 9 Balance of county 99999

036 000 2 999 9 Oneida 071 6 0000

037 000 2 999 9 Owyhee 073 6 0000

038 000 2 999 9 Payette 075 6 0000

039 000 2 Power 077 6 0000

008 5 Pocatello, part 64090

999 9 Balance of county 99999

040 000 2 999 9 Shoshone 079 6 0000

041 000 2 999 9 Teton 081 6 0000

042 000 2 Twin Falls 083 4 0000

010 5 Twin Falls 82810

Vital Statistics Geographic Code Outline for the United States 66

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

13 Idaho 16

999 9 Balance of county 99999

043 000 2 999 9 Valley 085 6 0000

044 000 2 999 9 Washington 087 6 0000

Vital Statistics Geographic Code Outline for the United States 67

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

001 000 2 Adams 001 4 0000

138 5 Quincy 62367

999 9 Balance of county 99999

002 000 2 999 9 Alexander 003 6 0000

003 000 2 999 9 Bond 005 6 0000

004 237 1 Boone 007 5 6880

011 6 Belvidere 05092

999 9 Balance of county 99999

005 000 2 999 9 Brown 009 6 0000

006 000 2 999 9 Bureau 011 5 0000

007 000 2 999 9 Calhoun 013 6 0000

008 000 2 999 9 Carroll 015 6 0000

009 000 2 999 9 Cass 017 6 0000

010 048 1 Champaign 019 3 1400

032 4 Champaign 12385

139 6 Rantoul village 62783

160 5 Urbana 77005

999 9 Balance of county 99999

011 000 2 Christian 021 5 0000

158 6 Taylorville 74574

999 9 Balance of county 99999

012 000 2 999 9 Clark 023 6 0000

013 000 2 999 9 Clay 025 6 0000

014 243 1 Clinton 027 5 7040

031 6 Centralia, part 12164

999 9 Balance of county 99999

015 000 2 Coles 029 4 0000

033 6 Charleston 12567

105 6 Mattoon 47553

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 68

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

016 055 1 Cook 031 0 1600

003 6 Alsip village 01010

005 4 Arlington Heights village 02154

007 6 Bartlett village, part 04013

010 6 Bellwood village 04975

012 6 Bensenville village, part 05248

013 5 Berwyn 05573

016 6 Blue Island 06704

020 6 Bridgeview village 08225

021 6 Brookfield village 08576

022 5 Buffalo Grove village, part 09447

023 5 Burbank 09642

025 5 Calumet City 10487

034 0 Chicago, part 14000

035 5 Chicago Heights 14026

036 6 Chicago Ridge village 14065

037 4 Cicero 14351

039 6 Country Club Hills 16691

041 6 Crestwood village 17497

046 6 Deerfield village, part 18992

048 4 Des Plaines 19642

050 6 Dolton village 20292

057 4 Elgin, part 23074

058 5 Elk Grove Village village, part 23256

060 6 Elmwood Park village 23724

061 4 Evanston 24582

062 6 Evergreen Park village 24634

064 6 Forest Park village 26935

065 6 Franklin Park village 27702

071 5 Glenview village 29938

074 5 Hanover Park village, part 32746

075 5 Harvey 33383

Vital Statistics Geographic Code Outline for the United States 69

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

076 6 Hazel Crest village 33695

078 6 Hickory Hills 34514

080 6 Hinsdale village, part 35307

081 5 Hoffman Estates village, part 35411

082 6 Homewood village 35879

085 6 Justice village 38830

088 6 La Grange Park village 40793

089 6 La Grange village 40767

092 5 Lansing village 42028

095 6 Lincolnwood village 43744

103 6 Markham 47007

104 6 Matteson village 47540

Vital Statistics Geographic Code Outline for the United States 70

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

016 Cook, con. 031 0 1600

106 5 Maywood village 47774

107 6 Melrose Park village 48242

108 6 Midlothian village 48892

111 6 Morton Grove village 50647

113 4 Mount Prospect village 51089

117 5 Niles village 53000

119 6 Norridge village 53377

120 5 Northbrook village 53481

122 6 Northlake 53871

123 5 Oak Forest 54638

124 4 Oak Lawn village 54820

125 4 Oak Park village 54885

127 5 Orland Park village 56640

129 5 Palatine village 57225

130 6 Palos Heights 57381

131 6 Palos Hills 57394

132 6 Park Forest village, part 57732

133 5 Park Ridge 57875

137 6 Prospect Heights 62016

140 6 Richton Park village 63706

141 6 Riverdale village 64278

142 6 River Forest village 64304

145 6 Rolling Meadows 65338

147 6 Roselle village, part 65806

150 4 Schaumburg village, part 68003

151 6 Schiller Park village 68081

152 4 Skokie village 70122

153 6 South Holland village 70850

156 5 Streamwood village 73157

Vital Statistics Geographic Code Outline for the United States 71

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

159 5 Tinley Park village, part 75484

166 6 Westchester village 80047

168 6 Western Springs village 80242

171 5 Wheeling village, part 81087

172 5 Wilmette village 82075

173 6 Winnetka village 82530

178 6 Worth village 83518

999 9 Balance of county 99999

017 000 2 999 9 Crawford 033 6 0000

018 000 2 999 9 Cumberland 035 6 0000

019 055 1 De Kalb 037 4 1600

047 5 De Kalb 19161

999 9 Balance of county 99999

020 000 2 999 9 De Witt 039 6 0000

021 000 2 999 9 Douglas 041 6 0000

022 055 1 Du Page 043 1 1600

001 5 Addison village 00243

006 4 Aurora, part 03012

007 6 Bartlett village, part 04013

008 6 Batavia, part 04078

012 6 Bensenville village, part 05248

014 6 Bloomingdale village 06587

017 5 Bolingbrook village, part 07133

028 5 Carol Stream village 11332

034 0 Chicago, part 14000

044 6 Darien 18628

051 5 Downers Grove village 20591

058 5 Elk Grove Village village, part 23256

059 5 Elmhurst 23620

069 5 Glendale Heights village 29730

070 6 Glen Ellyn village 29756

Vital Statistics Geographic Code Outline for the United States 72

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

074 5 Hanover Park village, part 32746

080 6 Hinsdale village, part 35307

096 6 Lisle village 43939

097 5 Lombard village 44407

116 4 Naperville, part 51622

147 6 Roselle village, part 65806

149 6 St. Charles, part 66703

150 4 Schaumburg village, part 68003

162 6 Villa Park village 77993

163 6 Warrenville 78929

167 6 West Chicago 80060

169 6 Westmont village 80645

170 4 Wheaton 81048

Vital Statistics Geographic Code Outline for the United States 73

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

022 Du Page, con. 043 1 1600

174 6 Wood Dale 82985

175 5 Woodridge village, part 83245

999 9 Balance of county 99999

023 000 2 999 9 Edgar 045 6 0000

024 000 2 999 9 Edwards 047 6 0000

025 000 2 Effingham 049 5 0000

056 6 Effingham 22736

999 9 Balance of county 99999

026 000 2 999 9 Fayette 051 6 0000

027 000 2 999 9 Ford 053 6 0000

028 000 2 999 9 Franklin 055 5 0000

029 000 2 Fulton 057 5 0000

026 6 Canton 11007

999 9 Balance of county 99999

030 000 2 999 9 Gallatin 059 6 0000

031 000 2 999 9 Greene 061 6 0000

032 055 1 Grundy 063 5 1600

110 6 Morris 50491

999 9 Balance of county 99999

033 000 2 999 9 Hamilton 065 6 0000

034 000 2 999 9 Hancock 067 6 0000

035 000 2 999 9 Hardin 069 6 0000

036 000 2 999 9 Henderson 071 6 0000

037 069 1 Henry 073 4 1960

087 6 Kewanee 39727

999 9 Balance of county 99999

038 000 2 999 9 Iroquois 075 5 0000

039 000 2 Jackson 077 4 0000

027 5 Carbondale 11163

Vital Statistics Geographic Code Outline for the United States 74

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

999 9 Balance of county 99999

040 000 2 999 9 Jasper 079 6 0000

041 000 2 Jefferson 081 5 0000

114 6 Mount Vernon 51180

999 9 Balance of county 99999

042 243 1 999 9 Jersey 083 6 7040

043 000 2 999 9 Jo Daviess 085 6 0000

044 000 2 999 9 Johnson 087 6 0000

045 055 1 Kane 089 2 1600

002 6 Algonquin village, part 00685

006 4 Aurora, part 03012

007 6 Bartlett village, part 04013

008 6 Batavia, part 04078

029 6 Carpentersville village 11358

057 4 Elgin, part 23074

068 6 Geneva 28872

149 6 St. Charles, part 66703

999 9 Balance of county 99999

046 144 1 Kankakee 091 4 3740

018 6 Bourbonnais village 07471

019 6 Bradley village 07744

086 5 Kankakee 38934

999 9 Balance of county 99999

047 055 1 999 9 Kendall 093 5 1600

048 000 2 Knox 095 4 0000

067 5 Galesburg 28326

999 9 Balance of county 99999

049 055 1 Lake 097 1 1600

022 5 Buffalo Grove village, part 09447

046 6 Deerfield village, part 18992

073 6 Gurnee village 32018

Vital Statistics Geographic Code Outline for the United States 75

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

079 5 Highland Park 34722

090 6 Lake Forest 41105

091 6 Lake Zurich village 41742

093 6 Libertyville village 43250

115 6 Mundelein village 51349

121 5 North Chicago 53559

148 6 Round Lake Beach village 66040

161 6 Vernon Hills village 77694

165 4 Waukegan 79293

171 5 Wheeling village, part 81087

179 6 Zion 84220

999 9 Balance of county 99999

050 000 2 La Salle 099 3 0000

128 6 Ottawa 56926

Vital Statistics Geographic Code Outline for the United States 76

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

050 La Salle, con. 099 3 0000

157 6 Streator, part 73170

999 9 Balance of county 99999

051 000 2 999 9 Lawrence 101 6 0000

052 000 2 Lee 103 5 0000

049 6 Dixon 20162

999 9 Balance of county 99999

053 000 2 Livingston 105 5 0000

136 6 Pontiac 61015

157 6 Streator, part 73170

999 9 Balance of county 99999

054 000 2 Logan 107 5 0000

094 6 Lincoln 43536

999 9 Balance of county 99999

055 000 2 McDonough 109 5 0000

101 6 Macomb 45889

999 9 Balance of county 99999

056 055 1 McHenry 111 3 1600

002 6 Algonquin village, part 00685

030 6 Cary village 11592

042 6 Crystal Lake 17887

099 6 McHenry 45694

177 6 Woodstock 83349

999 9 Balance of county 99999

057 035 1 McLean 113 3 1040

015 4 Bloomington 06613

118 5 Normal 53234

999 9 Balance of county 99999

058 073 1 Macon 115 3 2040

045 4 Decatur 18823

Vital Statistics Geographic Code Outline for the United States 77

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

999 9 Balance of county 99999

059 000 2 999 9 Macoupin 117 5 0000

060 243 1 Madison 119 3 7040

004 5 Alton 01114

038 6 Collinsville, part 15599

055 6 Edwardsville 22697

072 5 Granite City 30926

176 6 Wood River 83271

999 9 Balance of county 99999

061 000 2 Marion 121 5 0000

031 6 Centralia, part 12164

999 9 Balance of county 99999

062 000 2 999 9 Marshall 123 6 0000

063 000 2 999 9 Mason 125 6 0000

064 000 2 999 9 Massac 127 6 0000

065 269 1 999 9 Menard 129 6 7880

066 000 2 999 9 Mercer 131 6 0000

067 243 1 999 9 Monroe 133 6 7040

068 000 2 999 9 Montgomery 135 5 0000

069 000 2 Morgan 137 5 0000

083 6 Jacksonville 38115

999 9 Balance of county 99999

070 000 2 999 9 Moultrie 139 6 0000

071 237 1 999 9 Ogle 141 5 6880

072 213 1 Peoria 143 3 6120

134 5 Pekin, part 58447

135 3 Peoria 59000

999 9 Balance of county 99999

073 000 2 999 9 Perry 145 6 0000

074 000 2 999 9 Piatt 147 6 0000

075 000 2 999 9 Pike 149 6 0000

Vital Statistics Geographic Code Outline for the United States 78

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

076 000 2 999 9 Pope 151 6 0000

077 000 2 999 9 Pulaski 153 6 0000

078 000 2 999 9 Putnam 155 6 0000

079 000 2 999 9 Randolph 157 5 0000

080 000 2 999 9 Richland 159 6 0000

081 069 1 Rock Island 161 3 1960

052 6 East Moline 22073

109 5 Moline 49867

144 5 Rock Island 65078

999 9 Balance of county 99999

082 243 1 St. Clair 163 2 7040

009 5 Belleville 04845

024 6 Cahokia village 10370

Vital Statistics Geographic Code Outline for the United States 79

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

082 St. Clair, con. 163 2 7040

038 6 Collinsville, part 15599

054 5 East St. Louis 22255

063 6 Fairview Heights 25141

126 6 O'Fallon 55249

999 9 Balance of county 99999

083 000 2 999 9 Saline 165 5 0000

084 269 1 Sangamon 167 3 7880

154 3 Springfield 72000

999 9 Balance of county 99999

085 000 2 999 9 Schuyler 169 6 0000

086 000 2 999 9 Scott 171 6 0000

087 000 2 999 9 Shelby 173 6 0000

088 000 2 999 9 Stark 175 6 0000

089 000 2 Stephenson 177 5 0000

066 5 Freeport 27884

999 9 Balance of county 99999

090 213 1 Tazewell 179 3 6120

053 6 East Peoria 22164

112 6 Morton village 50621

134 5 Pekin, part 58447

164 6 Washington 79033

999 9 Balance of county 99999

091 000 2 999 9 Union 181 6 0000

092 000 2 Vermilion 183 4 0000

043 5 Danville 18563

999 9 Balance of county 99999

093 000 2 999 9 Wabash 185 6 0000

094 000 2 999 9 Warren 187 6 0000

095 000 2 999 9 Washington 189 6 0000

Vital Statistics Geographic Code Outline for the United States 80

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

14 Illinois 17

096 000 2 999 9 Wayne 191 6 0000

097 000 2 999 9 White 193 6 0000

098 000 2 Whiteside 195 4 0000

155 6 Sterling 72546

999 9 Balance of county 99999

099 055 1 Will 197 2 1600

017 5 Bolingbrook village, part 07133

040 6 Crest Hill 17458

084 4 Joliet 38570

116 4 Naperville, part 51622

132 6 Park Forest village, part 57732

146 6 Romeoville village 65442

159 5 Tinley Park village, part 75484

175 5 Woodridge village, part 83245

999 9 Balance of county 99999

100 000 2 Williamson 199 4 0000

077 6 Herrin 34358

102 6 Marion 46916

999 9 Balance of county 99999

101 237 1 Winnebago 201 2 6880

098 6 Loves Park 45031

100 6 Machesney Park village 45726

143 3 Rockford 65000

999 9 Balance of county 99999

102 213 1 999 9 Woodford 203 5 6120

Vital Statistics Geographic Code Outline for the United States 81

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

001 102 1 999 9 Adams 001 5 2760

002 102 1 Allen 003 2 2760

015 3 Fort Wayne 25000

047 6 New Haven 52992

999 9 Balance of county 99999

003 000 2 Bartholomew 005 4 0000

007 5 Columbus 14734

999 9 Balance of county 99999

004 000 2 999 9 Benton 007 6 0000

005 000 2 999 9 Blackford 009 6 0000

006 130 1 Boone 011 5 3480

035 6 Lebanon 42624

999 9 Balance of county 99999

007 000 2 999 9 Brown 013 6 0000

008 000 2 999 9 Carroll 015 6 0000

009 000 2 Cass 017 5 0000

036 6 Logansport 44658

999 9 Balance of county 99999

010 169 1 Clark 019 4 4520

006 6 Clarksville 12934

029 6 Jeffersonville 38358

999 9 Balance of county 99999

011 280 1 999 9 Clay 021 6 8320

012 152 1 Clinton 023 5 3920

016 6 Frankfort 25324

999 9 Balance of county 99999

013 000 2 999 9 Crawford 025 6 0000

014 000 2 Daviess 027 5 0000

063 6 Washington 80504

999 9 Balance of county 99999

015 057 1 999 9 Dearborn 029 5 1640

Vital Statistics Geographic Code Outline for the United States 82

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

016 000 2 999 9 Decatur 031 6 0000

017 102 1 999 9 De Kalb 033 5 2760

018 189 1 Delaware 035 3 5280

043 4 Muncie 51876

999 9 Balance of county 99999

019 000 2 Dubois 037 5 0000

028 6 Jasper 37782

999 9 Balance of county 99999

020 084 1 Elkhart 039 3 2330

013 5 Elkhart 20728

019 6 Goshen 28386

999 9 Balance of county 99999

021 000 2 Fayette 041 5 0000

008 6 Connersville 14932

999 9 Balance of county 99999

022 169 1 Floyd 043 4 4520

045 5 New Albany 52326

999 9 Balance of county 99999

023 000 2 999 9 Fountain 045 6 0000

024 000 2 999 9 Franklin 047 6 0000

025 000 2 999 9 Fulton 049 6 0000

026 000 2 999 9 Gibson 051 5 0000

027 000 2 Grant 053 4 0000

038 5 Marion 46908

999 9 Balance of county 99999

028 000 2 999 9 Greene 055 5 0000

029 130 1 Hamilton 057 3 3480

005 5 Carmel 10342

048 6 Noblesville 54180

999 9 Balance of county 99999

030 130 1 Hancock 059 5 3480

Vital Statistics Geographic Code Outline for the United States 83

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

020 6 Greenfield 29520

999 9 Balance of county 99999

031 169 1 999 9 Harrison 061 5 4520

032 130 1 Hendricks 063 4 3480

050 6 Plainfield 60246

999 9 Balance of county 99999

033 000 2 Henry 065 5 0000

046 6 New Castle 52740

999 9 Balance of county 99999

034 149 1 Howard 067 4 3850

030 5 Kokomo 40392

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 84

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

035 102 1 Huntington 069 5 2760

026 6 Huntington 35302

999 9 Balance of county 99999

036 000 2 Jackson 071 5 0000

054 6 Seymour 68832

999 9 Balance of county 99999

037 000 2 999 9 Jasper 073 6 0000

038 000 2 999 9 Jay 075 6 0000

039 000 2 Jefferson 077 5 0000

037 6 Madison 45990

999 9 Balance of county 99999

040 000 2 999 9 Jennings 079 6 0000

041 130 1 Johnson 081 4 3480

017 6 Franklin 25450

021 5 Greenwood 29898

999 9 Balance of county 99999

042 000 2 Knox 083 5 0000

060 6 Vincennes 79208

999 9 Balance of county 99999

043 000 2 Kosciusko 085 4 0000

062 6 Warsaw 80306

999 9 Balance of county 99999

044 000 2 999 9 Lagrange 087 5 0000

045 108 1 Lake 089 2 2960

010 6 Crown Point 16138

011 6 Dyer 19270

012 5 East Chicago 19486

018 3 Gary 27000

022 6 Griffith 30042

023 4 Hammond 31000

024 6 Highland 33466

Vital Statistics Geographic Code Outline for the United States 85

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

025 6 Hobart 34114

032 6 Lake Station 41535

040 5 Merrillville 48528

044 6 Munster 51912

053 6 Schererville 68220

999 9 Balance of county 99999

046 000 2 La Porte 091 3 0000

033 6 La Porte 42246

041 5 Michigan City 48798

999 9 Balance of county 99999

047 000 2 Lawrence 093 5 0000

002 6 Bedford 04114

999 9 Balance of county 99999

048 130 1 Madison 095 3 3480

001 4 Anderson 01468

999 9 Balance of county 99999

049 130 1 Marion 097 1 3480

003 6 Beech Grove 04204

027 1 Indianapolis 36000

034 5 Lawrence 42426

057 6 Speedway 71828

999 9 Balance of county 99999

050 000 2 999 9 Marshall 099 5 0000

051 000 2 999 9 Martin 101 6 0000

052 000 2 Miami 103 5 0000

049 6 Peru 59328

999 9 Balance of county 99999

053 034 1 Monroe 105 3 1020

004 4 Bloomington 05860

999 9 Balance of county 99999

054 000 2 Montgomery 107 5 0000

Vital Statistics Geographic Code Outline for the United States 86

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

009 6 Crawfordsville 15742

999 9 Balance of county 99999

055 130 1 Morgan 109 4 3480

039 6 Martinsville 47448

999 9 Balance of county 99999

056 000 2 999 9 Newton 111 6 0000

057 000 2 999 9 Noble 113 5 0000

058 057 1 999 9 Ohio 115 6 1640

059 000 2 999 9 Orange 117 6 0000

060 000 2 999 9 Owen 119 6 0000

061 000 2 999 9 Parke 121 6 0000

062 000 2 999 9 Perry 123 6 0000

Vital Statistics Geographic Code Outline for the United States 87

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

063 000 2 999 9 Pike 125 6 0000

064 108 1 Porter 127 3 2960

051 5 Portage 61092

059 6 Valparaiso 78326

999 9 Balance of county 99999

065 089 1 999 9 Posey 129 5 2440

066 000 2 999 9 Pulaski 131 6 0000

067 000 2 999 9 Putnam 133 5 0000

068 000 2 999 9 Randolph 135 5 0000

069 000 2 999 9 Ripley 137 6 0000

070 000 2 999 9 Rush 139 6 0000

071 267 1 St. Joseph 141 3 7800

042 5 Mishawaka 49932

056 3 South Bend 71000

999 9 Balance of county 99999

072 169 1 999 9 Scott 143 6 4520

073 130 1 Shelby 145 5 3480

055 6 Shelbyville 69318

999 9 Balance of county 99999

074 000 2 999 9 Spencer 147 6 0000

075 000 2 999 9 Starke 149 6 0000

076 000 2 999 9 Steuben 151 5 0000

077 000 2 999 9 Sullivan 153 6 0000

078 000 2 999 9 Switzerland 155 6 0000

079 152 1 Tippecanoe 157 3 3920

031 5 Lafayette 40788

064 5 West Lafayette 82862

999 9 Balance of county 99999

080 149 1 999 9 Tipton 159 6 3850

081 000 2 999 9 Union 161 6 0000

Vital Statistics Geographic Code Outline for the United States 88

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

15 Indiana 18

082 089 1 Vanderburgh 163 3 2440

014 3 Evansville 22000

999 9 Balance of county 99999

083 280 1 999 9 Vermillion 165 6 8320

084 280 1 Vigo 167 3 8320

058 4 Terre Haute 75428

999 9 Balance of county 99999

085 000 2 Wabash 169 5 0000

061 6 Wabash 79370

999 9 Balance of county 99999

086 000 2 999 9 Warren 171 6 0000

087 089 1 999 9 Warrick 173 5 2440

088 000 2 999 9 Washington 175 6 0000

089 000 2 Wayne 177 4 0000

052 5 Richmond 64260

999 9 Balance of county 99999

090 102 1 999 9 Wells 179 5 2760

091 000 2 999 9 White 181 6 0000

092 102 1 999 9 Whitley 183 5 2760

Vital Statistics Geographic Code Outline for the United States 89

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

16 Iowa 19

001 000 2 999 9 Adair 001 6 0000

002 000 2 999 9 Adams 003 6 0000

003 000 2 999 9 Allamakee 005 6 0000

004 000 2 999 9 Appanoose 007 6 0000

005 000 2 999 9 Audubon 009 6 0000

006 000 2 999 9 Benton 011 6 0000

007 297 1 Black Hawk 013 3 8920

006 5 Cedar Falls 11755

029 4 Waterloo 82425

999 9 Balance of county 99999

008 000 2 Boone 015 5 0000

004 6 Boone 07480

999 9 Balance of county 99999

009 000 2 999 9 Bremer 017 6 0000

010 000 2 999 9 Buchanan 019 6 0000

011 000 2 999 9 Buena Vista 021 6 0000

012 000 2 999 9 Butler 023 6 0000

013 000 2 999 9 Calhoun 025 6 0000

014 000 2 999 9 Carroll 027 6 0000

015 000 2 999 9 Cass 029 6 0000

016 000 2 999 9 Cedar 031 6 0000

017 000 2 Cerro Gordo 033 5 0000

021 5 Mason City 50160

999 9 Balance of county 99999

018 000 2 999 9 Cherokee 035 6 0000

019 000 2 999 9 Chickasaw 037 6 0000

020 000 2 999 9 Clarke 039 6 0000

021 000 2 Clay 041 6 0000

027 6 Spencer 74280

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 90

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

16 Iowa 19

022 000 2 999 9 Clayton 043 6 0000

023 000 2 Clinton 045 4 0000

008 5 Clinton 14430

999 9 Balance of county 99999

024 000 2 999 9 Crawford 047 6 0000

025 075 1 Dallas 049 5 2120

030 5 West Des Moines, part 83910

999 9 Balance of county 99999

026 000 2 999 9 Davis 051 6 0000

027 000 2 999 9 Decatur 053 6 0000

028 000 2 999 9 Delaware 055 6 0000

029 000 2 Des Moines 057 5 0000

005 5 Burlington 09550

999 9 Balance of county 99999

030 000 2 999 9 Dickinson 059 6 0000

031 079 1 Dubuque 061 4 2200

013 4 Dubuque 22395

999 9 Balance of county 99999

032 000 2 999 9 Emmet 063 6 0000

033 000 2 999 9 Fayette 065 6 0000

034 000 2 999 9 Floyd 067 6 0000

035 000 2 999 9 Franklin 069 6 0000

036 000 2 999 9 Fremont 071 6 0000

037 000 2 999 9 Greene 073 6 0000

038 000 2 999 9 Grundy 075 6 0000

039 000 2 999 9 Guthrie 077 6 0000

040 000 2 999 9 Hamilton 079 6 0000

041 000 2 999 9 Hancock 081 6 0000

042 000 2 999 9 Hardin 083 6 0000

043 000 2 999 9 Harrison 085 6 0000

044 000 2 999 9 Henry 087 6 0000

Vital Statistics Geographic Code Outline for the United States 91

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

16 Iowa 19

045 000 2 999 9 Howard 089 6 0000

046 000 2 999 9 Humboldt 091 6 0000

047 000 2 999 9 Ida 093 6 0000

048 000 2 999 9 Iowa 095 6 0000

049 000 2 999 9 Jackson 097 6 0000

050 000 2 Jasper 099 5 0000

023 6 Newton 56505

999 9 Balance of county 99999

051 000 2 999 9 Jefferson 101 6 0000

052 131 1 Johnson 103 4 3500

009 6 Coralville 16230

017 4 Iowa City 38595

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 92

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

16 Iowa 19

053 000 2 999 9 Jones 105 6 0000

054 000 2 999 9 Keokuk 107 6 0000

055 000 2 999 9 Kossuth 109 6 0000

056 000 2 Lee 111 5 0000

015 6 Fort Madison 28605

018 6 Keokuk 40845

999 9 Balance of county 99999

057 047 1 Linn 113 3 1360

007 3 Cedar Rapids 12000

019 6 Marion 49485

999 9 Balance of county 99999

058 000 2 999 9 Louisa 115 6 0000

059 000 2 999 9 Lucas 117 6 0000

060 000 2 999 9 Lyon 119 6 0000

061 000 2 999 9 Madison 121 6 0000

062 000 2 Mahaska 123 6 0000

024 6 Oskaloosa 59925

999 9 Balance of county 99999

063 000 2 999 9 Marion 125 5 0000

064 000 2 Marshall 127 5 0000

020 5 Marshalltown 49755

999 9 Balance of county 99999

065 000 2 999 9 Mills 129 6 0000

066 000 2 999 9 Mitchell 131 6 0000

067 000 2 999 9 Monona 133 6 0000

068 000 2 999 9 Monroe 135 6 0000

069 000 2 999 9 Montgomery 137 6 0000

070 000 2 Muscatine 139 5 0000

022 6 Muscatine 55110

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 93

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

16 Iowa 19

071 000 2 999 9 O'Brien 141 6 0000

072 000 2 999 9 Osceola 143 6 0000

073 000 2 999 9 Page 145 6 0000

074 000 2 999 9 Palo Alto 147 6 0000

075 000 2 999 9 Plymouth 149 6 0000

076 000 2 999 9 Pocahontas 151 6 0000

077 075 1 Polk 153 2 2120

002 6 Ankeny 02305

012 3 Des Moines 21000

028 6 Urbandale 79950

030 5 West Des Moines, part 83910

999 9 Balance of county 99999

078 206 1 Pottawattamie 155 4 5920

010 4 Council Bluffs 16860

999 9 Balance of county 99999

079 000 2 999 9 Poweshiek 157 6 0000

080 000 2 999 9 Ringgold 159 6 0000

081 000 2 999 9 Sac 161 6 0000

082 069 1 Scott 163 3 1960

003 5 Bettendorf 06355

011 4 Davenport 19000

999 9 Balance of county 99999

083 000 2 999 9 Shelby 165 6 0000

084 000 2 999 9 Sioux 167 5 0000

085 000 2 Story 169 4 0000

001 5 Ames 01855

999 9 Balance of county 99999

086 000 2 999 9 Tama 171 6 0000

087 000 2 999 9 Taylor 173 6 0000

088 000 2 999 9 Union 175 6 0000

089 000 2 999 9 Van Buren 177 6 0000

Vital Statistics Geographic Code Outline for the United States 94

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

16 Iowa 19

090 000 2 Wapello 179 5 0000

025 6 Ottumwa 60465

999 9 Balance of county 99999

091 075 1 Warren 181 5 2120

016 6 Indianola 38280

999 9 Balance of county 99999

092 000 2 999 9 Washington 183 6 0000

093 000 2 999 9 Wayne 185 6 0000

094 000 2 Webster 187 5 0000

014 5 Fort Dodge 28515

999 9 Balance of county 99999

095 000 2 999 9 Winnebago 189 6 0000

096 000 2 999 9 Winneshiek 191 6 0000

Vital Statistics Geographic Code Outline for the United States 95

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

16 Iowa 19

097 265 1 Woodbury 193 4 7720

026 4 Sioux City 73335

999 9 Balance of county 99999

098 000 2 999 9 Worth 195 6 0000

099 000 2 999 9 Wright 197 6 0000

Vital Statistics Geographic Code Outline for the United States 96

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

17 Kansas 20

001 000 2 999 9 Allen 001 6 0000

002 000 2 999 9 Anderson 003 6 0000

003 000 2 Atchison 005 6 0000

002 6 Atchison 02900

999 9 Balance of county 99999

004 000 2 999 9 Barber 007 6 0000

005 000 2 Barton 009 5 0000

009 6 Great Bend 28300

999 9 Balance of county 99999

006 000 2 999 9 Bourbon 011 6 0000

007 000 2 999 9 Brown 013 6 0000

008 301 1 Butler 015 4 9040

006 6 El Dorado 20075

999 9 Balance of county 99999

009 000 2 999 9 Chase 017 6 0000

010 000 2 999 9 Chautauqua 019 6 0000

011 000 2 999 9 Cherokee 021 6 0000

012 000 2 999 9 Cheyenne 023 6 0000

013 000 2 999 9 Clark 025 6 0000

014 000 2 999 9 Clay 027 6 0000

015 000 2 999 9 Cloud 029 6 0000

016 000 2 999 9 Coffey 031 6 0000

017 000 2 999 9 Comanche 033 6 0000

018 000 2 Cowley 035 5 0000

001 6 Arkansas City 02300

034 6 Winfield 79950

999 9 Balance of county 99999

019 000 2 Crawford 037 5 0000

028 6 Pittsburg 56025

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 97

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

17 Kansas 20

020 000 2 999 9 Decatur 039 6 0000

021 000 2 999 9 Dickinson 041 6 0000

022 000 2 999 9 Doniphan 043 6 0000

023 160 1 Douglas 045 4 4150

015 4 Lawrence 38900

999 9 Balance of county 99999

024 000 2 999 9 Edwards 047 6 0000

025 000 2 999 9 Elk 049 6 0000

026 000 2 Ellis 051 5 0000

010 6 Hays 31100

999 9 Balance of county 99999

027 000 2 999 9 Ellsworth 053 6 0000

028 000 2 Finney 055 5 0000

008 6 Garden City 25325

999 9 Balance of county 99999

029 000 2 Ford 057 5 0000

005 6 Dodge City 18250

999 9 Balance of county 99999

030 000 2 Franklin 059 6 0000

025 6 Ottawa 53550

999 9 Balance of county 99999

031 000 2 Geary 061 5 0000

013 6 Junction City 35750

999 9 Balance of county 99999

032 000 2 999 9 Gove 063 6 0000

033 000 2 999 9 Graham 065 6 0000

034 000 2 999 9 Grant 067 6 0000

035 000 2 999 9 Gray 069 6 0000

036 000 2 999 9 Greeley 071 6 0000

037 000 2 999 9 Greenwood 073 6 0000

038 000 2 999 9 Hamilton 075 6 0000

Vital Statistics Geographic Code Outline for the United States 98

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

17 Kansas 20

039 000 2 999 9 Harper 077 6 0000

040 301 1 Harvey 079 5 9040

023 6 Newton 50475

999 9 Balance of county 99999

041 000 2 999 9 Haskell 081 6 0000

042 000 2 999 9 Hodgeman 083 6 0000

043 000 2 999 9 Jackson 085 6 0000

044 000 2 999 9 Jefferson 087 6 0000

045 000 2 999 9 Jewell 089 6 0000

046 145 1 Johnson 091 2 3760

017 6 Leawood 39075

018 5 Lenexa 39350

022 6 Merriam 46000

Vital Statistics Geographic Code Outline for the United States 99

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

17 Kansas 20

046 Johnson, con. 091 2 3760

024 4 Olathe 52575

026 3 Overland Park 53775

029 6 Prairie Village 57575

031 5 Shawnee 64500

999 9 Balance of county 99999

047 000 2 999 9 Kearny 093 6 0000

048 000 2 999 9 Kingman 095 6 0000

049 000 2 999 9 Kiowa 097 6 0000

050 000 2 Labette 099 6 0000

027 6 Parsons 54675

999 9 Balance of county 99999

051 000 2 999 9 Lane 101 6 0000

052 145 1 Leavenworth 103 4 3760

016 5 Leavenworth 39000

999 9 Balance of county 99999

053 000 2 999 9 Lincoln 105 6 0000

054 000 2 999 9 Linn 107 6 0000

055 000 2 999 9 Logan 109 6 0000

056 000 2 Lyon 111 5 0000

007 5 Emporia 21275

999 9 Balance of county 99999

057 000 2 McPherson 113 5 0000

020 6 McPherson 43950

999 9 Balance of county 99999

058 000 2 999 9 Marion 115 6 0000

059 000 2 999 9 Marshall 117 6 0000

060 000 2 999 9 Meade 119 6 0000

061 145 1 999 9 Miami 121 6 3760

062 000 2 999 9 Mitchell 123 6 0000

Vital Statistics Geographic Code Outline for the United States 100

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

17 Kansas 20

063 000 2 Montgomery 125 5 0000

003 6 Coffeyville 14600

012 6 Independence 33875

999 9 Balance of county 99999

064 000 2 999 9 Morris 127 6 0000

065 000 2 999 9 Morton 129 6 0000

066 000 2 999 9 Nemaha 131 6 0000

067 000 2 999 9 Neosho 133 6 0000

068 000 2 999 9 Ness 135 6 0000

069 000 2 999 9 Norton 137 6 0000

070 000 2 999 9 Osage 139 6 0000

071 000 2 999 9 Osborne 141 6 0000

072 000 2 999 9 Ottawa 143 6 0000

073 000 2 999 9 Pawnee 145 6 0000

074 000 2 999 9 Phillips 147 6 0000

075 000 2 Pottawatomie 149 6 0000

021 5 Manhattan, part 44250

999 9 Balance of county 99999

076 000 2 999 9 Pratt 151 6 0000

077 000 2 999 9 Rawlins 153 6 0000

078 000 2 Reno 155 4 0000

011 5 Hutchinson 33625

999 9 Balance of county 99999

079 000 2 999 9 Republic 157 6 0000

080 000 2 999 9 Rice 159 6 0000

081 000 2 Riley 161 4 0000

021 5 Manhattan, part 44250

999 9 Balance of county 99999

082 000 2 999 9 Rooks 163 6 0000

083 000 2 999 9 Rush 165 6 0000

Vital Statistics Geographic Code Outline for the United States 101

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

17 Kansas 20

084 000 2 999 9 Russell 167 6 0000

085 000 2 Saline 169 5 0000

030 5 Salina 62700

999 9 Balance of county 99999

086 000 2 999 9 Scott 171 6 0000

087 301 1 Sedgwick 173 2 9040

004 6 Derby 17800

033 2 Wichita 79000

999 9 Balance of county 99999

088 000 2 Seward 175 6 0000

019 6 Liberal 39825

999 9 Balance of county 99999

089 283 1 Shawnee 177 3 8440

032 3 Topeka 71000

Vital Statistics Geographic Code Outline for the United States 102

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

17 Kansas 20

089 Shawnee, con. 177 3 8440

999 9 Balance of county 99999

090 000 2 999 9 Sheridan 179 6 0000

091 000 2 999 9 Sherman 181 6 0000

092 000 2 999 9 Smith 183 6 0000

093 000 2 999 9 Stafford 185 6 0000

094 000 2 999 9 Stanton 187 6 0000

095 000 2 999 9 Stevens 189 6 0000

096 000 2 999 9 Sumner 191 5 0000

097 000 2 999 9 Thomas 193 6 0000

098 000 2 999 9 Trego 195 6 0000

099 000 2 999 9 Wabaunsee 197 6 0000

100 000 2 999 9 Wallace 199 6 0000

101 000 2 999 9 Washington 201 6 0000

102 000 2 999 9 Wichita 203 6 0000

103 000 2 999 9 Wilson 205 6 0000

104 000 2 999 9 Woodson 207 6 0000

105 145 1 Wyandotte 209 3 3760

014 3 Kansas City 36000

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 103

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

18 Kentucky 21

001 000 2 999 9 Adair 001 6 0000

002 000 2 999 9 Allen 003 6 0000

003 000 2 999 9 Anderson 005 6 0000

004 000 2 999 9 Ballard 007 6 0000

005 000 2 Barren 009 5 0000

011 6 Glasgow 31114

999 9 Balance of county 99999

006 000 2 999 9 Bath 011 6 0000

007 000 2 Bell 013 5 0000

019 6 Middlesborough 51924

999 9 Balance of county 99999

008 057 1 Boone 015 4 1640

007 6 Florence 27982

999 9 Balance of county 99999

009 163 1 999 9 Bourbon 017 6 4280

010 128 1 Boyd 019 4 3400

001 6 Ashland 02368

999 9 Balance of county 99999

011 000 2 Boyle 021 5 0000

004 6 Danville 19882

999 9 Balance of county 99999

012 000 2 999 9 Bracken 023 6 0000

013 000 2 999 9 Breathitt 025 6 0000

014 000 2 999 9 Breckinridge 027 6 0000

015 169 1 999 9 Bullitt 029 5 4520

016 000 2 999 9 Butler 031 6 0000

017 000 2 999 9 Caldwell 033 6 0000

018 000 2 Calloway 035 5 0000

020 6 Murray 54642

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 104

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

18 Kentucky 21

019 057 1 Campbell 037 4 1640

008 6 Fort Thomas 28594

021 6 Newport 55884

999 9 Balance of county 99999

020 000 2 999 9 Carlisle 039 6 0000

021 000 2 999 9 Carroll 041 6 0000

022 128 1 999 9 Carter 043 6 3400

023 000 2 999 9 Casey 045 6 0000

024 058 1 Christian 047 4 1660

013 5 Hopkinsville 37918

999 9 Balance of county 99999

025 163 1 Clark 049 5 4280

030 6 Winchester 83676

999 9 Balance of county 99999

026 000 2 999 9 Clay 051 6 0000

027 000 2 999 9 Clinton 053 6 0000

028 000 2 999 9 Crittenden 055 6 0000

029 000 2 999 9 Cumberland 057 6 0000

030 209 1 Daviess 059 4 5990

023 4 Owensboro 58620

999 9 Balance of county 99999

031 000 2 999 9 Edmonson 061 6 0000

032 000 2 999 9 Elliott 063 6 0000

033 000 2 999 9 Estill 065 6 0000

034 163 1 016 3 Fayette, coext. with Lexington-Fayette 067 3 4280 46000

035 000 2 999 9 Fleming 069 6 0000

036 000 2 999 9 Floyd 071 5 0000

037 000 2 Franklin 073 5 0000

009 5 Frankfort 28900

999 9 Balance of county 99999

038 000 2 999 9 Fulton 075 6 0000

Vital Statistics Geographic Code Outline for the United States 105

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

18 Kentucky 21

039 057 1 999 9 Gallatin 077 6 1640

040 000 2 999 9 Garrard 079 6 0000

041 057 1 999 9 Grant 081 6 1640

042 000 2 999 9 Graves 083 5 0000

043 000 2 999 9 Grayson 085 6 0000

044 000 2 999 9 Green 087 6 0000

045 128 1 999 9 Greenup 089 5 3400

046 000 2 999 9 Hancock 091 6 0000

047 000 2 Hardin 093 4 0000

005 6 Elizabethtown 24274

025 6 Radcliff 63912

999 9 Balance of county 99999

048 000 2 999 9 Harlan 095 5 0000

Vital Statistics Geographic Code Outline for the United States 106

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

18 Kentucky 21

049 000 2 999 9 Harrison 097 6 0000

050 000 2 999 9 Hart 099 6 0000

051 089 1 Henderson 101 5 2440

012 5 Henderson 35866

999 9 Balance of county 99999

052 000 2 999 9 Henry 103 6 0000

053 000 2 999 9 Hickman 105 6 0000

054 000 2 Hopkins 107 5 0000

018 6 Madisonville 49368

999 9 Balance of county 99999

055 000 2 999 9 Jackson 109 6 0000

056 169 1 Jefferson 111 1 4520

015 6 Jeffersontown 40222

017 2 Louisville 48000

027 6 St. Matthews 67944

028 6 Shively 70284

999 9 Balance of county 99999

057 163 1 Jessamine 113 5 4280

022 6 Nicholasville 56136

999 9 Balance of county 99999

058 000 2 999 9 Johnson 115 6 0000

059 057 1 Kenton 117 3 1640

003 5 Covington 17848

006 6 Erlanger 25300

014 6 Independence 39142

999 9 Balance of county 99999

060 000 2 999 9 Knott 119 6 0000

061 000 2 999 9 Knox 121 5 0000

062 000 2 999 9 Larue 123 6 0000

063 000 2 999 9 Laurel 125 5 0000

Vital Statistics Geographic Code Outline for the United States 107

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

18 Kentucky 21

064 000 2 999 9 Lawrence 127 6 0000

065 000 2 999 9 Lee 129 6 0000

066 000 2 999 9 Leslie 131 6 0000

067 000 2 999 9 Letcher 133 5 0000

068 000 2 999 9 Lewis 135 6 0000

069 000 2 999 9 Lincoln 137 6 0000

070 000 2 999 9 Livingston 139 6 0000

071 000 2 999 9 Logan 141 6 0000

072 000 2 999 9 Lyon 143 6 0000

073 000 2 McCracken 145 4 0000

024 5 Paducah 58836

999 9 Balance of county 99999

074 000 2 999 9 McCreary 147 6 0000

075 000 2 999 9 McLean 149 6 0000

076 163 1 Madison 151 4 4280

026 6 Richmond 65226

999 9 Balance of county 99999

077 000 2 999 9 Magoffin 153 6 0000

078 000 2 999 9 Marion 155 6 0000

079 000 2 999 9 Marshall 157 5 0000

080 000 2 999 9 Martin 159 6 0000

081 000 2 999 9 Mason 161 6 0000

082 000 2 999 9 Meade 163 6 0000

083 000 2 999 9 Menifee 165 6 0000

084 000 2 999 9 Mercer 167 6 0000

085 000 2 999 9 Metcalfe 169 6 0000

086 000 2 999 9 Monroe 171 6 0000

087 000 2 999 9 Montgomery 173 6 0000

088 000 2 999 9 Morgan 175 6 0000

089 000 2 999 9 Muhlenberg 177 5 0000

090 000 2 999 9 Nelson 179 5 0000

Vital Statistics Geographic Code Outline for the United States 108

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

18 Kentucky 21

091 000 2 999 9 Nicholas 181 6 0000

092 000 2 999 9 Ohio 183 6 0000

093 169 1 999 9 Oldham 185 5 4520

094 000 2 999 9 Owen 187 6 0000

095 000 2 999 9 Owsley 189 6 0000

096 057 1 999 9 Pendleton 191 6 1640

097 000 2 999 9 Perry 193 5 0000

098 000 2 999 9 Pike 195 4 0000

099 000 2 999 9 Powell 197 6 0000

100 000 2 Pulaski 199 5 0000

029 6 Somerset 71688

999 9 Balance of county 99999

101 000 2 999 9 Robertson 201 6 0000

Vital Statistics Geographic Code Outline for the United States 109

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

18 Kentucky 21

102 000 2 999 9 Rockcastle 203 6 0000

103 000 2 999 9 Rowan 205 6 0000

104 000 2 999 9 Russell 207 6 0000

105 163 1 Scott 209 6 4280

010 6 Georgetown 30700

999 9 Balance of county 99999

106 000 2 999 9 Shelby 211 6 0000

107 000 2 999 9 Simpson 213 6 0000

108 000 2 999 9 Spencer 215 6 0000

109 000 2 999 9 Taylor 217 6 0000

110 000 2 999 9 Todd 219 6 0000

111 000 2 999 9 Trigg 221 6 0000

112 000 2 999 9 Trimble 223 6 0000

113 000 2 999 9 Union 225 6 0000

114 000 2 Warren 227 4 0000

002 5 Bowling Green 08902

999 9 Balance of county 99999

115 000 2 999 9 Washington 229 6 0000

116 000 2 999 9 Wayne 231 6 0000

117 000 2 999 9 Webster 233 6 0000

118 000 2 999 9 Whitley 235 5 0000

119 000 2 999 9 Wolfe 237 6 0000

120 163 1 999 9 Woodford 239 6 4280

Vital Statistics Geographic Code Outline for the United States 110

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

19 Louisiana 22

001 151 1 Acadia 001 4 3880

008 6 Crowley 18650

009 6 Eunice, part 24565

999 9 Balance of parish 99999

002 000 2 999 9 Allen 003 6 0000

003 024 1 999 9 Ascension 005 4 0760

004 000 2 999 9 Assumption 007 6 0000

005 000 2 999 9 Avoyelles 009 5 0000

006 000 2 999 9 Beauregard 011 5 0000

007 000 2 999 9 Bienville 013 6 0000

008 264 1 Bossier 015 4 7680

007 4 Bossier City 08920

026 3 Shreveport, part 70000

999 9 Balance of parish 99999

009 264 1 Caddo 017 3 7680

026 3 Shreveport, part 70000

999 9 Balance of parish 99999

010 153 1 Calcasieu 019 3 3960

016 4 Lake Charles 41155

028 6 Sulphur 73640

999 9 Balance of parish 99999

011 000 2 999 9 Caldwell 021 6 0000

012 000 2 999 9 Cameron 023 6 0000

013 000 2 999 9 Catahoula 025 6 0000

014 000 2 999 9 Claiborne 027 6 0000

015 000 2 999 9 Concordia 029 6 0000

016 000 2 999 9 De Soto 031 5 0000

017 024 1 East Baton Rouge 033 2 0760

003 6 Baker 03985

005 3 Baton Rouge 05000

Vital Statistics Geographic Code Outline for the United States 111

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

19 Louisiana 22

999 9 Balance of parish 99999

018 000 2 999 9 East Carroll 035 6 0000

019 000 2 999 9 East Feliciana 037 6 0000

020 000 2 999 9 Evangeline 039 5 0000

021 000 2 999 9 Franklin 041 6 0000

022 000 2 999 9 Grant 043 6 0000

023 000 2 Iberia 045 4 0000

021 5 New Iberia 54035

999 9 Balance of parish 99999

024 000 2 999 9 Iberville 047 5 0000

025 000 2 999 9 Jackson 049 6 0000

026 196 1 Jefferson 051 2 5560

010 6 Gretna 31915

014 4 Kenner 39475

031 6 Westwego 81165

999 9 Balance of parish 99999

027 000 2 Jefferson Davis 053 5 0000

013 6 Jennings 38355

999 9 Balance of parish 99999

028 151 1 Lafayette 055 3 3880

015 4 Lafayette 40735

999 9 Balance of parish 99999

029 126 1 Lafourche 057 4 3350

029 6 Thibodaux 75425

999 9 Balance of parish 99999

030 000 2 999 9 La Salle 059 6 0000

031 000 2 Lincoln 061 5 0000

025 6 Ruston 66655

999 9 Balance of parish 99999

032 024 1 999 9 Livingston 063 4 0760

033 000 2 999 9 Madison 065 6 0000

Vital Statistics Geographic Code Outline for the United States 112

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

19 Louisiana 22

034 000 2 Morehouse 067 5 0000

004 6 Bastrop 04685

999 9 Balance of parish 99999

035 000 2 Natchitoches 069 5 0000

020 6 Natchitoches 53545

999 9 Balance of parish 99999

036 196 1 022 2 Orleans, coext. with New Orleans city 071 2 5560 55000

037 187 1 Ouachita 073 3 5200

018 4 Monroe 51410

030 6 West Monroe 80955

999 9 Balance of parish 99999

038 196 1 999 9 Plaquemines 075 5 5560

039 000 2 999 9 Pointe Coupee 077 6 0000

Vital Statistics Geographic Code Outline for the United States 113

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

19 Louisiana 22

040 006 1 Rapides 079 3 0220

002 5 Alexandria 00975

024 6 Pineville 60530

999 9 Balance of parish 99999

041 000 2 999 9 Red River 081 6 0000

042 000 2 999 9 Richland 083 6 0000

043 000 2 999 9 Sabine 085 6 0000

044 196 1 999 9 St. Bernard 087 4 5560

045 196 1 999 9 St. Charles 089 5 5560

046 000 2 999 9 St. Helena 091 6 0000

047 196 1 999 9 St. James 093 6 5560

048 196 1 999 9 St. John the Baptist 095 5 5560

049 151 1 St. Landry 097 4 3880

009 6 Eunice, part 24565

023 6 Opelousas 58045

999 9 Balance of parish 99999

050 151 1 999 9 St. Martin 099 5 3880

051 000 2 St. Mary 101 4 0000

019 6 Morgan City 52040

999 9 Balance of parish 99999

052 196 1 St. Tammany 103 3 5560

027 6 Slidell 70805

999 9 Balance of parish 99999

053 000 2 Tangipahoa 105 4 0000

011 6 Hammond 32755

999 9 Balance of parish 99999

054 000 2 999 9 Tensas 107 6 0000

055 126 1 Terrebonne 109 4 3350

012 5 Houma 36255

999 9 Balance of parish 99999

Vital Statistics Geographic Code Outline for the United States 114

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

19 Louisiana 22

056 000 2 999 9 Union 111 6 0000

057 000 2 Vermilion 113 4 0000

001 6 Abbeville 00100

999 9 Balance of parish 99999

058 000 2 999 9 Vernon 115 4 0000

059 000 2 Washington 117 5 0000

006 6 Bogalusa 08150

999 9 Balance of parish 99999

060 264 1 Webster 119 5 7680

017 6 Minden 50885

999 9 Balance of parish 99999

061 024 1 999 9 West Baton Rouge 121 6 0760

062 000 2 999 9 West Carroll 123 6 0000

063 000 2 999 9 West Feliciana 125 6 0000

064 000 2 999 9 Winn 127 6 0000

Vital Statistics Geographic Code Outline for the United States 115

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

20 Maine 23

001 162 1 Androscoggin 001 3 4243

001 6 Auburn 02060

005 5 Lewiston 38740

999 9 Balance of county 99999

002 000 2 Aroostook 003 4 0000

007 6 Presque Isle 60825

999 9 Balance of county 99999

003 219 1 Cumberland 005 3 6403

006 4 Portland 60545

009 6 South Portland 71990

011 6 Westbrook 82105

999 9 Balance of county 99999

004 000 2 999 9 Franklin 007 5 0000

005 000 2 999 9 Hancock 009 5 0000

006 000 2 Kennebec 011 3 0000

002 6 Augusta 02100

010 6 Waterville 80740

999 9 Balance of county 99999

007 000 2 999 9 Knox 013 5 0000

008 000 2 999 9 Lincoln 015 5 0000

009 000 2 999 9 Oxford 017 4 0000

010 022 1 Penobscot 019 3 0733

003 5 Bangor 02795

999 9 Balance of county 99999

011 000 2 999 9 Piscataquis 021 6 0000

012 000 2 999 9 Sagadahoc 023 5 0000

013 000 2 999 9 Somerset 025 5 0000

014 000 2 999 9 Waldo 027 5 0000

015 000 2 999 9 Washington 029 5 0000

016 000 2 York 031 3 0000

Vital Statistics Geographic Code Outline for the United States 116

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

20 Maine 23

004 6 Biddeford 04860

008 6 Saco 64675

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 117

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

21 Maryland 24

001 066 1 Allegany 001 4 1900

007 6 Cumberland 21325

999 9 Balance of county 99999

002 021 1 Anne Arundel 003 2 0720

002 5 Annapolis 01600

999 9 Balance of county 99999

003 021 1 999 9 Baltimore 005 1 0720

004 021 1 003 1 Baltimore city 510 1 0720 04000

005 296 1 999 9 Calvert 009 4 8840

006 000 2 999 9 Caroline 011 5 0000

007 021 1 Carroll 013 3 0720

018 6 Westminster 83100

999 9 Balance of county 99999

008 304 1 999 9 Cecil 015 4 9160

009 296 1 999 9 Charles 017 3 8840

010 000 2 Dorchester 019 5 0000

005 6 Cambridge 12400

999 9 Balance of county 99999

011 296 1 Frederick 021 3 8840

008 5 Frederick 30325

999 9 Balance of county 99999

012 000 2 999 9 Garrett 023 5 0000

013 021 1 Harford 025 3 0720

001 6 Aberdeen 00125

999 9 Balance of county 99999

014 021 1 999 9 Howard 027 3 0720

015 000 2 999 9 Kent 029 6 0000

016 296 1 Montgomery 031 1 8840

009 5 Gaithersburg 31175

015 5 Rockville 67675

Vital Statistics Geographic Code Outline for the United States 118

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

21 Maryland 24

017 6 Takoma Park, part 76650

999 9 Balance of county 99999

017 296 1 Prince George's 033 1 8840

004 5 Bowie 08775

006 6 College Park 18750

010 6 Greenbelt 34775

012 6 Hyattsville 41250

013 6 Laurel 45900

014 6 New Carrollton 55400

017 6 Takoma Park, part 76650

999 9 Balance of county 99999

018 021 1 999 9 Queen Anne's 035 5 0720

019 000 2 999 9 St. Mary's 037 4 0000

020 000 2 999 9 Somerset 039 6 0000

021 000 2 999 9 Talbot 041 5 0000

022 119 1 Washington 043 3 3180

011 5 Hagerstown 36075

999 9 Balance of county 99999

023 000 2 Wicomico 045 4 0000

016 6 Salisbury 69925

999 9 Balance of county 99999

024 000 2 999 9 Worcester 047 5 0000

Vital Statistics Geographic Code Outline for the United States 119

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

22 Massachusetts 25

001 023 1 Barnstable 001 3 0743

008 5 Barnstable town 03635

031 5 Falmouth town 23105

999 9 Balance of county 99999

002 218 1 Berkshire 003 3 6323

062 6 North Adams 46225

067 5 Pittsfield 53960

999 9 Balance of county 99999

003 037 1 Bristol 005 1 1123

007 5 Attleboro 02690

023 5 Dartmouth town 16425

029 6 Fairhaven town 22130

030 4 Fall River 23000

059 4 New Bedford 45000

064 5 North Attleborough town 46575

077 6 Somerset town 62430

083 5 Taunton 69170

999 9 Balance of county 99999

004 000 2 999 9 Dukes 007 6 0000

005 037 1 Essex 009 1 1123

003 6 Amesbury town 01185

005 5 Andover town 01465

010 5 Beverly 05595

022 6 Danvers town 16250

035 5 Gloucester 26150

036 4 Haverhill 29405

041 4 Lawrence 34550

046 4 Lynn 37490

047 6 Lynnfield town 37560

049 6 Marblehead town 38400

Vital Statistics Geographic Code Outline for the United States 120

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

22 Massachusetts 25

054 5 Methuen town 40675

060 6 Newburyport 45245

066 5 Peabody 52490

074 5 Salem 59105

075 5 Saugus town 60015

082 6 Swampscott town 68645

999 9 Balance of county 99999

006 000 2 999 9 Franklin 011 4 0000

007 271 1 Hampden 013 2 8003

002 5 Agawam town 00800

020 4 Chicopee 13660

027 6 East Longmeadow town 19645

038 5 Holyoke 30840

044 6 Longmeadow town 36300

079 3 Springfield 67000

090 5 Westfield 76030

091 5 West Springfield town 77850

999 9 Balance of county 99999

008 271 1 Hampshire 015 3 8003

004 5 Amherst town 01325

026 6 Easthampton town 19330

063 5 Northampton 46330

999 9 Balance of county 99999

009 037 1 Middlesex 017 0 1123

006 5 Arlington town 01605

009 6 Belmont town 05070

011 5 Billerica town 05805

016 6 Burlington town 09840

017 4 Cambridge 11000

018 5 Chelmsford town 13135

025 5 Dracut town 17475

Vital Statistics Geographic Code Outline for the United States 121

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

22 Massachusetts 25

028 5 Everett 21990

033 4 Framingham town 24925

039 6 Hudson town 31540

043 5 Lexington town 35215

045 3 Lowell 37000

048 4 Malden 37875

050 5 Marlborough 38715

051 6 Maynard town 39625

052 4 Medford 39835

053 5 Melrose 40115

057 5 Natick town 43895

061 4 Newton 45560

071 6 Reading town 56130

Vital Statistics Geographic Code Outline for the United States 122

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

22 Massachusetts 25

009 Middlesex, con. 017 0 1123

078 4 Somerville 62535

080 6 Stoneham town 67665

084 5 Tewksbury town 69415

085 6 Wakefield town 72215

086 4 Waltham 72600

087 5 Watertown town 73405

095 6 Wilmington town 80230

096 6 Winchester town 80510

098 5 Woburn 81035

999 9 Balance of county 99999

010 000 2 999 9 Nantucket 019 6 0000

011 037 1 Norfolk 021 1 1123

013 5 Braintree town 07665

015 4 Brookline town 09175

024 6 Dedham town 16495

037 6 Holbrook town 30455

056 5 Milton town 41690

058 5 Needham town 44105

065 5 Norwood town 50250

069 4 Quincy 55745

070 5 Randolph town 55955

081 5 Stoughton town 67945

089 5 Wellesley town 74175

092 6 Westwood town 78690

093 4 Weymouth town 78865

999 9 Balance of county 99999

012 037 1 Plymouth 023 2 1123

001 6 Abington town 00170

014 4 Brockton 09000

Vital Statistics Geographic Code Outline for the United States 123

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

22 Massachusetts 25

040 6 Hull town 31645

068 5 Plymouth town 54310

073 6 Rockland town 57775

094 6 Whitman town 79530

999 9 Balance of county 99999

013 037 1 Suffolk 025 1 1123

012 1 Boston 07000

019 5 Chelsea 13205

072 5 Revere 56585

097 6 Winthrop town 80930

014 037 1 Worcester 027 1 1123

021 6 Clinton town 14395

032 5 Fitchburg 23875

034 6 Gardner 25485

042 5 Leominster 35075

055 5 Milford town 41165

076 6 Shrewsbury town 61800

088 6 Webster town 73895

099 3 Worcester 82000

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 124

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

001 000 2 999 9 Alcona 001 6 0000

002 000 2 999 9 Alger 003 6 0000

003 112 1 Allegan 005 4 3000

051 5 Holland, part 38640

999 9 Balance of county 99999

004 000 2 Alpena 007 5 0000

004 6 Alpena 01740

999 9 Balance of county 99999

005 000 2 999 9 Antrim 009 6 0000

006 000 2 999 9 Arenac 011 6 0000

007 000 2 999 9 Baraga 013 6 0000

008 000 2 999 9 Barry 015 4 0000

009 240 1 Bay 017 3 6960

007 6 Bangor township 05120

009 5 Bay City 06020

064 5 Midland, part 53780

999 9 Balance of county 99999

010 000 2 999 9 Benzie 019 6 0000

011 027 1 Berrien 021 3 0870

010 6 Benton Harbor 07520

071 6 Niles, part 57760

999 9 Balance of county 99999

012 000 2 999 9 Branch 023 5 0000

013 143 1 Calhoun 025 3 3720

002 6 Albion 00980

008 4 Battle Creek 05920

999 9 Balance of county 99999

014 000 2 Cass 027 5 0000

071 6 Niles, part 57760

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 125

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

015 000 2 999 9 Charlevoix 029 6 0000

016 000 2 999 9 Cheboygan 031 6 0000

017 000 2 Chippewa 033 5 0000

091 6 Sault Ste. Marie 71740

999 9 Balance of county 99999

018 000 2 999 9 Clare 035 6 0000

019 156 1 999 9 Clinton 037 4 4040

020 000 2 999 9 Crawford 039 6 0000

021 000 2 Delta 041 5 0000

030 6 Escanaba 26360

999 9 Balance of county 99999

022 000 2 999 9 Dickinson 043 5 0000

023 156 1 Eaton 045 4 4040

024 5 Delta township 21520

057 3 Lansing, part 46000

999 9 Balance of county 99999

024 000 2 999 9 Emmet 047 5 0000

025 093 1 Genesee 049 2 2640

016 5 Burton 12060

034 3 Flint 29000

035 5 Flint township 29020

039 5 Grand Blanc township 33300

067 5 Mount Morris township 55980

999 9 Balance of county 99999

026 000 2 999 9 Gladwin 051 6 0000

027 000 2 999 9 Gogebic 053 6 0000

028 000 2 Grand Traverse 055 4 0000

098 6 Traverse City, part 80340

999 9 Balance of county 99999

029 000 2 999 9 Gratiot 057 5 0000

030 000 2 999 9 Hillsdale 059 5 0000

Vital Statistics Geographic Code Outline for the United States 126

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

031 000 2 999 9 Houghton 061 5 0000

032 000 2 999 9 Huron 063 5 0000

033 156 1 Ingham 065 2 4040

028 4 East Lansing 24120

057 3 Lansing, part 46000

063 5 Meridian township 53140

999 9 Balance of county 99999

034 000 2 999 9 Ionia 067 4 0000

035 000 2 999 9 Iosco 069 5 0000

036 000 2 999 9 Iron 071 6 0000

037 000 2 Isabella 073 4 0000

068 6 Mount Pleasant 56020

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 127

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

038 132 1 Jackson 075 3 3520

053 5 Jackson 41420

999 9 Balance of county 99999

039 143 1 Kalamazoo 077 3 3720

054 4 Kalamazoo 42160

055 6 Kalamazoo township 42180

079 5 Portage 65560

999 9 Balance of county 99999

040 000 2 999 9 Kalkaska 079 6 0000

041 112 1 Kent 081 1 3000

027 6 East Grand Rapids 23980

041 3 Grand Rapids 34000

042 6 Grandville 34160

056 5 Kentwood 42820

101 6 Walker 82960

109 4 Wyoming 88940

999 9 Balance of county 99999

042 000 2 999 9 Keweenaw 083 6 0000

043 000 2 999 9 Lake 085 6 0000

044 076 1 999 9 Lapeer 087 4 2160

045 000 2 Leelanau 089 6 0000

098 6 Traverse City, part 80340

999 9 Balance of county 99999

046 011 1 Lenawee 091 4 0440

001 6 Adrian 00440

999 9 Balance of county 99999

047 011 1 999 9 Livingston 093 3 0440

048 000 2 999 9 Luce 095 6 0000

049 000 2 999 9 Mackinac 097 6 0000

050 076 1 Macomb 099 1 2160

Vital Statistics Geographic Code Outline for the United States 128

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

019 5 Chesterfield township 15340

021 4 Clinton township 16520

026 5 East Detroit 23920

036 6 Fraser 30420

048 6 Harrison township 36820

066 6 Mount Clemens 55820

086 4 Roseville 69800

090 4 St. Clair Shores 70760

092 5 Shelby township 72820

095 3 Sterling Heights 76460

102 3 Warren 84000

999 9 Balance of county 99999

051 000 2 999 9 Manistee 101 6 0000

052 000 2 Marquette 103 4 0000

061 6 Marquette 51900

999 9 Balance of county 99999

053 000 2 999 9 Mason 105 5 0000

054 000 2 Mecosta 107 5 0000

013 6 Big Rapids 08300

999 9 Balance of county 99999

055 000 2 999 9 Menominee 109 6 0000

056 240 1 Midland 111 4 6960

064 5 Midland, part 53780

999 9 Balance of county 99999

057 000 2 999 9 Missaukee 113 6 0000

058 076 1 Monroe 115 3 2160

065 6 Monroe 55020

999 9 Balance of county 99999

059 000 2 999 9 Montcalm 117 4 0000

060 000 2 999 9 Montmorency 119 6 0000

061 112 1 Muskegon 121 3 3000

Vital Statistics Geographic Code Outline for the United States 129

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

069 5 Muskegon 56320

070 6 Muskegon Heights 56360

073 6 Norton Shores 59140

999 9 Balance of county 99999

062 000 2 999 9 Newaygo 123 5 0000

063 076 1 Oakland 125 0 2160

006 6 Auburn Hills 04105

011 6 Berkley 07660

012 6 Beverly Hills village 08160

014 6 Birmingham 08640

015 5 Bloomfield township 09100

020 6 Clawson 16160

031 6 Farmington 27380

Vital Statistics Geographic Code Outline for the United States 130

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

063 Oakland, con. 125 0 2160

032 4 Farmington Hills 27440

033 5 Ferndale 27880

049 6 Hazel Park 37420

060 5 Madison Heights 50560

074 5 Novi 59440

075 5 Oak Park 59920

078 4 Pontiac 65440

084 4 Rochester Hills 69035

087 4 Royal Oak 70040

093 4 Southfield 74900

100 4 Troy 80700

103 4 Waterford township 84240

105 4 West Bloomfield township 85490

999 9 Balance of county 99999

064 000 2 999 9 Oceana 127 6 0000

065 000 2 999 9 Ogemaw 129 6 0000

066 000 2 999 9 Ontonagon 131 6 0000

067 000 2 999 9 Osceola 133 6 0000

068 000 2 999 9 Oscoda 135 6 0000

069 000 2 999 9 Otsego 137 6 0000

070 112 1 Ottawa 139 3 3000

038 5 Georgetown township 31880

040 6 Grand Haven 33340

051 5 Holland, part 38640

999 9 Balance of county 99999

071 000 2 999 9 Presque Isle 141 6 0000

072 000 2 999 9 Roscommon 143 6 0000

073 240 1 Saginaw 145 3 6960

088 4 Saginaw 70520

Vital Statistics Geographic Code Outline for the United States 131

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

089 5 Saginaw township 70540

999 9 Balance of county 99999

074 076 1 St. Clair 147 3 2160

080 5 Port Huron 65820

999 9 Balance of county 99999

075 000 2 St. Joseph 149 4 0000

096 6 Sturgis 76960

999 9 Balance of county 99999

076 000 2 999 9 Sanilac 151 5 0000

077 000 2 999 9 Schoolcraft 153 6 0000

078 000 2 Shiawassee 155 4 0000

076 6 Owosso 61940

999 9 Balance of county 99999

079 000 2 999 9 Tuscola 157 4 0000

080 143 1 999 9 Van Buren 159 4 3720

081 011 1 Washtenaw 161 2 0440

005 3 Ann Arbor 03000

110 6 Ypsilanti 89140

111 5 Ypsilanti township 89160

999 9 Balance of county 99999

082 076 1 Wayne 163 0 2160

003 5 Allen Park 01380

018 4 Canton township 13120

022 4 Dearborn 21000

023 4 Dearborn Heights 21020

025 0 Detroit 22000

029 6 Ecorse 24740

037 5 Garden City 31420

043 6 Grosse Pointe Farms 35520

044 6 Grosse Pointe Park 35540

Vital Statistics Geographic Code Outline for the United States 132

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

045 6 Grosse Pointe Woods 35580

046 6 Hamtramck 36280

047 6 Harper Woods 36700

050 6 Highland Park 38180

052 5 Inkster 40680

058 5 Lincoln Park 47800

059 3 Livonia 49000

062 6 Melvindale 52940

072 6 Northville township 59000

077 6 Plymouth township 65088

081 4 Redford township 67660

082 6 River Rouge 68760

083 6 Riverview 68880

085 6 Romulus 69420

Vital Statistics Geographic Code Outline for the United States 133

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

23 Michigan 26

082 Wayne, con. 163 0 2160

094 5 Southgate 74960

097 4 Taylor 79000

099 6 Trenton 80420

104 6 Wayne 84940

106 4 Westland 86000

107 6 Woodhaven 88380

108 5 Wyandotte 88900

999 9 Balance of county 99999

083 000 2 Wexford 165 5 0000

017 6 Cadillac 12320

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 134

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

001 000 2 999 9 Aitkin 001 6 0000

002 183 1 Anoka 003 3 5120

002 6 Andover 01486

003 6 Anoka 01720

007 5 Blaine, part 06382

017 6 Columbia Heights 12700

018 4 Coon Rapids 13114

029 5 Fridley 22814

055 6 Ramsey 53026

999 9 Balance of county 99999

003 000 2 999 9 Becker 005 5 0000

004 000 2 Beltrami 007 5 0000

006 6 Bemidji 05068

999 9 Balance of county 99999

005 241 1 Benton 009 5 6980

061 5 St. Cloud, part 56896

999 9 Balance of county 99999

006 000 2 999 9 Big Stone 011 6 0000

007 000 2 Blue Earth 013 4 0000

037 5 Mankato, part 39878

049 6 North Mankato, part 47068

999 9 Balance of county 99999

008 000 2 Brown 015 5 0000

047 6 New Ulm 46042

999 9 Balance of county 99999

009 000 2 Carlton 017 5 0000

016 6 Cloquet 12160

999 9 Balance of county 99999

010 183 1 Carver 019 5 5120

014 6 Chanhassen, part 10918

Vital Statistics Geographic Code Outline for the United States 135

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

015 6 Chaska 10972

999 9 Balance of county 99999

011 000 2 999 9 Cass 021 6 0000

012 000 2 999 9 Chippewa 023 6 0000

013 183 1 999 9 Chisago 025 5 5120

014 090 1 Clay 027 4 2520

043 5 Moorhead 43864

999 9 Balance of county 99999

015 000 2 999 9 Clearwater 029 6 0000

016 000 2 999 9 Cook 031 6 0000

017 000 2 999 9 Cottonwood 033 6 0000

018 000 2 Crow Wing 035 5 0000

009 6 Brainerd 07300

999 9 Balance of county 99999

019 183 1 Dakota 037 2 5120

004 5 Apple Valley 01900

012 4 Burnsville 08794

022 5 Eagan 17288

031 6 Hastings, part 27530

035 6 Inver Grove Heights 31076

036 6 Lakeville 35180

048 6 Northfield, part 46924

066 6 South St. Paul 61510

069 6 West St. Paul 69718

999 9 Balance of county 99999

020 000 2 999 9 Dodge 039 6 0000

021 000 2 999 9 Douglas 041 5 0000

022 000 2 999 9 Faribault 043 6 0000

023 000 2 999 9 Fillmore 045 6 0000

024 000 2 Freeborn 047 5 0000

001 6 Albert Lea 00694

Vital Statistics Geographic Code Outline for the United States 136

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

999 9 Balance of county 99999

025 000 2 Goodhue 049 5 0000

056 6 Red Wing 53620

999 9 Balance of county 99999

026 000 2 999 9 Grant 051 6 0000

027 183 1 Hennepin 053 0 5120

008 4 Bloomington 06616

010 5 Brooklyn Center 07948

011 4 Brooklyn Park 07966

013 6 Champlin 10846

014 6 Chanhassen, part 10918

020 6 Crystal 14158

023 5 Eden Prairie 18116

Vital Statistics Geographic Code Outline for the United States 137

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

027 Hennepin, con. 053 0 5120

024 5 Edina 18188

030 6 Golden Valley 24308

033 6 Hopkins 30140

038 5 Maple Grove 40166

041 2 Minneapolis 43000

042 5 Minnetonka 43252

046 6 New Hope 45628

053 4 Plymouth 51730

057 5 Richfield 54214

058 6 Robbinsdale 54808

062 5 St. Louis Park 57220

999 9 Balance of county 99999

028 150 1 999 9 Houston 055 6 3870

029 000 2 999 9 Hubbard 057 6 0000

030 183 1 999 9 Isanti 059 5 5120

031 000 2 999 9 Itasca 061 5 0000

032 000 2 999 9 Jackson 063 6 0000

033 000 2 999 9 Kanabec 065 6 0000

034 000 2 Kandiyohi 067 5 0000

071 6 Willmar 70420

999 9 Balance of county 99999

035 000 2 999 9 Kittson 069 6 0000

036 000 2 999 9 Koochiching 071 6 0000

037 000 2 999 9 Lac qui Parle 073 6 0000

038 000 2 999 9 Lake 075 6 0000

039 000 2 999 9 Lake of the Woods 077 6 0000

040 000 2 999 9 Le Sueur 079 6 0000

041 000 2 999 9 Lincoln 081 6 0000

042 000 2 Lyon 083 6 0000

Vital Statistics Geographic Code Outline for the United States 138

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

040 6 Marshall 40688

999 9 Balance of county 99999

043 000 2 McLeod 085 5 0000

034 6 Hutchinson 30644

999 9 Balance of county 99999

044 000 2 999 9 Mahnomen 087 6 0000

045 000 2 999 9 Marshall 089 6 0000

046 000 2 Martin 091 6 0000

026 6 Fairmont 20330

999 9 Balance of county 99999

047 000 2 999 9 Meeker 093 6 0000

048 000 2 999 9 Mille Lacs 095 6 0000

049 000 2 999 9 Morrison 097 5 0000

050 000 2 Mower 099 5 0000

005 6 Austin 02908

999 9 Balance of county 99999

051 000 2 999 9 Murray 101 6 0000

052 000 2 Nicollet 103 5 0000

037 5 Mankato, part 39878

049 6 North Mankato, part 47068

999 9 Balance of county 99999

053 000 2 999 9 Nobles 105 6 0000

054 000 2 999 9 Norman 107 6 0000

055 235 1 Olmsted 109 3 6820

059 4 Rochester 54880

999 9 Balance of county 99999

056 000 2 Otter Tail 111 4 0000

028 6 Fergus Falls 20906

999 9 Balance of county 99999

057 000 2 999 9 Pennington 113 6 0000

058 000 2 999 9 Pine 115 6 0000

Vital Statistics Geographic Code Outline for the United States 139

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

059 000 2 999 9 Pipestone 117 6 0000

060 111 1 999 9 Polk 119 5 2985

061 000 2 999 9 Pope 121 6 0000

062 183 1 Ramsey 123 2 5120

007 5 Blaine, part 06382

039 5 Maplewood 40382

044 6 Mounds View 44530

045 6 New Brighton 45430

050 6 North St. Paul 47284

060 5 Roseville 55852

063 2 St. Paul 58000

065 6 Shoreview 59998

068 6 Vadnais Heights 66460

Vital Statistics Geographic Code Outline for the United States 140

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

062 Ramsey, con. 123 2 5120

070 6 White Bear Lake, part 69970

999 9 Balance of county 99999

063 000 2 999 9 Red Lake 125 6 0000

064 000 2 999 9 Redwood 127 6 0000

065 000 2 999 9 Renville 129 6 0000

066 000 2 Rice 131 5 0000

027 6 Faribault 20546

048 6 Northfield, part 46924

999 9 Balance of county 99999

067 000 2 999 9 Rock 133 6 0000

068 000 2 999 9 Roseau 135 6 0000

069 080 1 St. Louis 137 3 2240

021 4 Duluth 17000

032 6 Hibbing 28790

999 9 Balance of county 99999

070 183 1 Scott 139 4 5120

054 6 Prior Lake 52594

064 6 Shakopee 59350

999 9 Balance of county 99999

071 183 1 Sherburne 141 5 5120

025 6 Elk River 18674

061 5 St. Cloud, part 56896

999 9 Balance of county 99999

072 000 2 999 9 Sibley 143 6 0000

073 241 1 Stearns 145 3 6980

061 5 St. Cloud, part 56896

999 9 Balance of county 99999

074 000 2 Steele 147 5 0000

052 6 Owatonna 49300

Vital Statistics Geographic Code Outline for the United States 141

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

24 Minnesota 27

999 9 Balance of county 99999

075 000 2 999 9 Stevens 149 6 0000

076 000 2 999 9 Swift 151 6 0000

077 000 2 999 9 Todd 153 6 0000

078 000 2 999 9 Traverse 155 6 0000

079 000 2 999 9 Wabasha 157 6 0000

080 000 2 999 9 Wadena 159 6 0000

081 000 2 999 9 Waseca 161 6 0000

082 183 1 Washington 163 3 5120

019 6 Cottage Grove 13456

031 6 Hastings, part 27530

051 6 Oakdale 47680

067 6 Stillwater 62824

070 6 White Bear Lake, part 69970

073 6 Woodbury 71428

999 9 Balance of county 99999

083 000 2 999 9 Watonwan 165 6 0000

084 000 2 999 9 Wilkin 167 6 0000

085 000 2 Winona 169 5 0000

072 5 Winona 71032

999 9 Balance of county 99999

086 183 1 999 9 Wright 171 4 5120

087 000 2 999 9 Yellow Medicine 173 6 0000

Vital Statistics Geographic Code Outline for the United States 142

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

25 Mississippi 28

001 000 2 Adams 001 5 0000

023 6 Natchez 50440

999 9 Balance of county 99999

002 000 2 Alcorn 003 5 0000

009 6 Corinth 15700

999 9 Balance of county 99999

003 000 2 999 9 Amite 005 6 0000

004 000 2 999 9 Attala 007 6 0000

005 000 2 999 9 Benton 009 6 0000

006 000 2 Bolivar 011 5 0000

006 6 Cleveland 14260

999 9 Balance of county 99999

007 000 2 999 9 Calhoun 013 6 0000

008 000 2 999 9 Carroll 015 6 0000

009 000 2 999 9 Chickasaw 017 6 0000

010 000 2 999 9 Choctaw 019 6 0000

011 000 2 999 9 Claiborne 021 6 0000

012 000 2 999 9 Clarke 023 6 0000

013 000 2 999 9 Clay 025 6 0000

014 000 2 Coahoma 027 5 0000

005 6 Clarksdale 13820

999 9 Balance of county 99999

015 000 2 999 9 Copiah 029 5 0000

016 000 2 999 9 Covington 031 6 0000

017 178 1 De Soto 033 4 4920

030 6 Southaven 69280

999 9 Balance of county 99999

018 123 1 Forrest 035 4 3285

015 5 Hattiesburg, part 31020

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 143

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

25 Mississippi 28

019 000 2 999 9 Franklin 037 6 0000

020 000 2 999 9 George 039 6 0000

021 000 2 999 9 Greene 041 6 0000

022 000 2 Grenada 043 6 0000

013 6 Grenada 29460

999 9 Balance of county 99999

023 030 1 999 9 Hancock 045 5 0920

024 030 1 Harrison 047 3 0920

001 5 Biloxi 06220

014 5 Gulfport 29700

019 6 Long Beach 41680

999 9 Balance of county 99999

025 133 1 Hinds 049 2 3560

007 6 Clinton 14420

017 3 Jackson, part 36000

999 9 Balance of county 99999

026 000 2 999 9 Holmes 051 6 0000

027 000 2 999 9 Humphreys 053 6 0000

028 000 2 999 9 Issaquena 055 6 0000

029 000 2 999 9 Itawamba 057 6 0000

030 030 1 Jackson 059 3 0920

010 6 Gautier 26860

022 6 Moss Point 49240

024 6 Ocean Springs 53520

026 5 Pascagoula 55360

999 9 Balance of county 99999

031 000 2 999 9 Jasper 061 6 0000

032 000 2 999 9 Jefferson 063 6 0000

033 000 2 999 9 Jefferson Davis 065 6 0000

034 000 2 Jones 067 4 0000

018 6 Laurel 39640

Vital Statistics Geographic Code Outline for the United States 144

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

25 Mississippi 28

999 9 Balance of county 99999

035 000 2 999 9 Kemper 069 6 0000

036 000 2 Lafayette 071 5 0000

025 6 Oxford 54840

999 9 Balance of county 99999

037 123 1 Lamar 073 5 3285

015 5 Hattiesburg, part 31020

999 9 Balance of county 99999

038 000 2 Lauderdale 075 4 0000

021 5 Meridian 46640

999 9 Balance of county 99999

039 000 2 999 9 Lawrence 077 6 0000

040 000 2 999 9 Leake 079 6 0000

Vital Statistics Geographic Code Outline for the United States 145

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

25 Mississippi 28

041 000 2 Lee 081 4 0000

032 5 Tupelo 74840

999 9 Balance of county 99999

042 000 2 Leflore 083 5 0000

012 6 Greenwood 29340

999 9 Balance of county 99999

043 000 2 Lincoln 085 5 0000

003 6 Brookhaven 08820

999 9 Balance of county 99999

044 000 2 Lowndes 087 4 0000

008 6 Columbus 15380

999 9 Balance of county 99999

045 133 1 Madison 089 4 3560

004 6 Canton 11100

017 3 Jackson, part 36000

029 6 Ridgeland 62520

999 9 Balance of county 99999

046 000 2 999 9 Marion 091 5 0000

047 000 2 999 9 Marshall 093 5 0000

048 000 2 999 9 Monroe 095 5 0000

049 000 2 999 9 Montgomery 097 6 0000

050 000 2 999 9 Neshoba 099 6 0000

051 000 2 999 9 Newton 101 6 0000

052 000 2 999 9 Noxubee 103 6 0000

053 000 2 Oktibbeha 105 5 0000

031 6 Starkville 70240

999 9 Balance of county 99999

054 000 2 999 9 Panola 107 5 0000

055 000 2 Pearl River 109 5 0000

028 6 Picayune 57160

Vital Statistics Geographic Code Outline for the United States 146

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

25 Mississippi 28

999 9 Balance of county 99999

056 000 2 999 9 Perry 111 6 0000

057 000 2 Pike 113 5 0000

020 6 McComb 43280

999 9 Balance of county 99999

058 000 2 999 9 Pontotoc 115 6 0000

059 000 2 999 9 Prentiss 117 6 0000

060 000 2 999 9 Quitman 119 6 0000

061 133 1 Rankin 121 4 3560

002 6 Brandon 08300

017 3 Jackson, part 36000

027 6 Pearl 55760

999 9 Balance of county 99999

062 000 2 999 9 Scott 123 6 0000

063 000 2 999 9 Sharkey 125 6 0000

064 000 2 999 9 Simpson 127 6 0000

065 000 2 999 9 Smith 129 6 0000

066 000 2 999 9 Stone 131 6 0000

067 000 2 Sunflower 133 5 0000

016 6 Indianola 34740

999 9 Balance of county 99999

068 000 2 999 9 Tallahatchie 135 6 0000

069 000 2 999 9 Tate 137 6 0000

070 000 2 999 9 Tippah 139 6 0000

071 000 2 999 9 Tishomingo 141 6 0000

072 000 2 999 9 Tunica 143 6 0000

073 000 2 999 9 Union 145 6 0000

074 000 2 999 9 Walthall 147 6 0000

075 000 2 Warren 149 5 0000

033 6 Vicksburg 76720

Vital Statistics Geographic Code Outline for the United States 147

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

25 Mississippi 28

999 9 Balance of county 99999

076 000 2 Washington 151 4 0000

011 5 Greenville 29180

999 9 Balance of county 99999

077 000 2 999 9 Wayne 153 6 0000

078 000 2 999 9 Webster 155 6 0000

079 000 2 999 9 Wilkinson 157 6 0000

080 000 2 999 9 Winston 159 6 0000

081 000 2 999 9 Yalobusha 161 6 0000

082 000 2 Yazoo 163 5 0000

034 6 Yazoo City 81520

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 148

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

001 000 2 Adair 001 6 0000

030 6 Kirksville 39026

999 9 Balance of county 99999

002 242 1 999 9 Andrew 003 6 7000

003 000 2 999 9 Atchison 005 6 0000

004 000 2 Audrain 007 6 0000

037 6 Mexico 47648

999 9 Balance of county 99999

005 000 2 999 9 Barry 009 5 0000

006 000 2 999 9 Barton 011 6 0000

007 000 2 999 9 Bates 013 6 0000

008 000 2 999 9 Benton 015 6 0000

009 000 2 999 9 Bollinger 017 6 0000

010 061 1 Boone 019 3 1740

012 4 Columbia 15670

999 9 Balance of county 99999

011 242 1 Buchanan 021 4 7000

047 4 St. Joseph 64550

999 9 Balance of county 99999

012 000 2 Butler 023 5 0000

041 6 Poplar Bluff 59096

999 9 Balance of county 99999

013 000 2 999 9 Caldwell 025 6 0000

014 000 2 Callaway 027 5 0000

019 6 Fulton 26182

025 5 Jefferson City, part 37000

999 9 Balance of county 99999

015 000 2 999 9 Camden 029 5 0000

016 000 2 Cape Girardeau 031 4 0000

008 5 Cape Girardeau 11242

Vital Statistics Geographic Code Outline for the United States 149

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

999 9 Balance of county 99999

017 000 2 999 9 Carroll 033 6 0000

018 000 2 999 9 Carter 035 6 0000

019 145 1 Cass 037 4 3760

004 6 Belton 04384

028 2 Kansas City, part 38000

032 5 Lee's Summit, part 41348

999 9 Balance of county 99999

020 000 2 999 9 Cedar 039 6 0000

021 000 2 999 9 Chariton 041 6 0000

022 270 1 999 9 Christian 043 5 7920

023 000 2 999 9 Clark 045 6 0000

024 145 1 Clay 047 3 3760

015 6 Excelsior Springs, part 23086

020 5 Gladstone 27190

024 3 Independence, part 35000

028 2 Kansas City, part 38000

033 6 Liberty 42032

999 9 Balance of county 99999

025 145 1 999 9 Clinton 049 6 3760

026 000 2 Cole 051 4 0000

025 5 Jefferson City, part 37000

999 9 Balance of county 99999

027 000 2 999 9 Cooper 053 6 0000

028 000 2 999 9 Crawford 055 6 0000

029 000 2 999 9 Dade 057 6 0000

030 000 2 999 9 Dallas 059 6 0000

031 000 2 999 9 Daviess 061 6 0000

032 000 2 999 9 De Kalb 063 6 0000

033 000 2 999 9 Dent 065 6 0000

Vital Statistics Geographic Code Outline for the United States 150

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

034 000 2 999 9 Douglas 067 6 0000

035 000 2 Dunklin 069 5 0000

029 6 Kennett 38306

999 9 Balance of county 99999

036 243 1 Franklin 071 4 7040

055 6 Washington 77416

999 9 Balance of county 99999

037 000 2 999 9 Gasconade 073 6 0000

038 000 2 999 9 Gentry 075 6 0000

039 270 1 Greene 077 3 7920

052 3 Springfield 70000

999 9 Balance of county 99999

040 000 2 999 9 Grundy 079 6 0000

041 000 2 999 9 Harrison 081 6 0000

Vital Statistics Geographic Code Outline for the United States 151

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

042 000 2 999 9 Henry 083 6 0000

043 000 2 999 9 Hickory 085 6 0000

044 000 2 999 9 Holt 087 6 0000

045 000 2 999 9 Howard 089 6 0000

046 000 2 999 9 Howell 091 5 0000

047 000 2 999 9 Iron 093 6 0000

048 145 1 Jackson 095 1 3760

006 5 Blue Springs 06652

021 6 Grandview 28324

024 3 Independence, part 35000

028 2 Kansas City, part 38000

032 5 Lee's Summit, part 41348

042 5 Raytown 60788

999 9 Balance of county 99999

049 142 1 Jasper 097 4 3710

009 6 Carthage 11656

027 5 Joplin, part 37592

999 9 Balance of county 99999

050 243 1 Jefferson 099 3 7040

001 6 Arnold 01972

999 9 Balance of county 99999

051 000 2 Johnson 101 5 0000

054 6 Warrensburg 77092

999 9 Balance of county 99999

052 000 2 999 9 Knox 103 6 0000

053 000 2 999 9 Laclede 105 5 0000

054 145 1 999 9 Lafayette 107 5 3760

055 000 2 999 9 Lawrence 109 5 0000

056 000 2 999 9 Lewis 111 6 0000

057 243 1 999 9 Lincoln 113 5 7040

Vital Statistics Geographic Code Outline for the United States 152

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

058 000 2 999 9 Linn 115 6 0000

059 000 2 999 9 Livingston 117 6 0000

060 000 2 999 9 McDonald 119 6 0000

061 000 2 999 9 Macon 121 6 0000

062 000 2 999 9 Madison 123 6 0000

063 000 2 999 9 Maries 125 6 0000

064 000 2 Marion 127 5 0000

022 6 Hannibal, part 30214

999 9 Balance of county 99999

065 000 2 999 9 Mercer 129 6 0000

066 000 2 999 9 Miller 131 6 0000

067 000 2 999 9 Mississippi 133 6 0000

068 000 2 999 9 Moniteau 135 6 0000

069 000 2 999 9 Monroe 137 6 0000

070 000 2 999 9 Montgomery 139 6 0000

071 000 2 999 9 Morgan 141 6 0000

072 000 2 New Madrid 143 6 0000

051 6 Sikeston, part 67790

999 9 Balance of county 99999

073 142 1 Newton 145 5 3710

027 5 Joplin, part 37592

999 9 Balance of county 99999

074 000 2 Nodaway 147 6 0000

036 6 Maryville 46640

999 9 Balance of county 99999

075 000 2 999 9 Oregon 149 6 0000

076 000 2 999 9 Osage 151 6 0000

077 000 2 999 9 Ozark 153 6 0000

078 000 2 999 9 Pemiscot 155 6 0000

079 000 2 999 9 Perry 157 6 0000

080 000 2 Pettis 159 5 0000

Vital Statistics Geographic Code Outline for the United States 153

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

050 6 Sedalia 66440

999 9 Balance of county 99999

081 000 2 Phelps 161 5 0000

044 6 Rolla 62912

999 9 Balance of county 99999

082 000 2 999 9 Pike 163 6 0000

083 145 1 Platte 165 4 3760

028 2 Kansas City, part 38000

999 9 Balance of county 99999

084 000 2 999 9 Polk 167 6 0000

085 000 2 999 9 Pulaski 169 5 0000

086 000 2 999 9 Putnam 171 6 0000

087 000 2 Ralls 173 6 0000

022 6 Hannibal, part 30214

Vital Statistics Geographic Code Outline for the United States 154

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

087 Ralls, con. 173 6 0000

999 9 Balance of county 99999

088 000 2 Randolph 175 6 0000

038 6 Moberly 49034

999 9 Balance of county 99999

089 145 1 Ray 177 6 3760

015 6 Excelsior Springs, part 23086

999 9 Balance of county 99999

090 000 2 999 9 Reynolds 179 6 0000

091 000 2 999 9 Ripley 181 6 0000

092 243 1 St. Charles 183 3 7040

039 6 O'Fallon 54074

046 4 St. Charles 64082

049 5 St. Peters 65126

999 9 Balance of county 99999

093 000 2 999 9 St. Clair 185 6 0000

094 000 2 999 9 Ste. Genevieve 186 6 0000

095 000 2 St. Francois 187 5 0000

016 6 Farmington 23752

999 9 Balance of county 99999

096 243 1 St. Louis 189 1 7040

002 6 Ballwin 03160

003 6 Bellefontaine Neighbors 04222

005 6 Berkeley 04906

007 6 Bridgeton 08398

010 5 Chesterfield 13600

011 6 Clayton 14572

013 6 Crestwood 17218

014 6 Creve Coeur 17272

017 6 Ferguson 23986

Vital Statistics Geographic Code Outline for the United States 155

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

018 4 Florissant 24778

023 6 Hazelwood 31276

026 6 Jennings 37178

031 5 Kirkwood 39044

035 5 Maryland Heights 46586

040 6 Overland 55550

043 6 Richmond Heights 61706

045 6 St. Ann 63956

053 5 University City 75220

056 6 Webster Groves 78154

999 9 Balance of county 99999

097 243 1 048 2 St. Louis city 510 2 7040 65000

098 000 2 Saline 195 6 0000

034 6 Marshall 46316

999 9 Balance of county 99999

099 000 2 999 9 Schuyler 197 6 0000

100 000 2 999 9 Scotland 199 6 0000

101 000 2 Scott 201 5 0000

051 6 Sikeston, part 67790

999 9 Balance of county 99999

102 000 2 999 9 Shannon 203 6 0000

103 000 2 999 9 Shelby 205 6 0000

104 000 2 999 9 Stoddard 207 5 0000

105 000 2 999 9 Stone 209 6 0000

106 000 2 999 9 Sullivan 211 6 0000

107 000 2 999 9 Taney 213 5 0000

108 000 2 999 9 Texas 215 6 0000

109 000 2 999 9 Vernon 217 6 0000

110 243 1 999 9 Warren 219 6 7040

111 000 2 999 9 Washington 221 6 0000

112 000 2 999 9 Wayne 223 6 0000

Vital Statistics Geographic Code Outline for the United States 156

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

26 Missouri 29

113 270 1 999 9 Webster 225 6 7920

114 000 2 999 9 Worth 227 6 0000

115 000 2 999 9 Wright 229 6 0000

Vital Statistics Geographic Code Outline for the United States 157

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

27 Montana 30

001 000 2 999 9 Beaverhead 001 6 0000

002 000 2 999 9 Big Horn 003 6 0000

003 000 2 999 9 Blaine 005 6 0000

004 000 2 999 9 Broadwater 007 6 0000

005 000 2 999 9 Carbon 009 6 0000

006 000 2 999 9 Carter 011 6 0000

007 113 1 Cascade 013 4 3040

005 4 Great Falls 32800

999 9 Balance of county 99999

008 000 2 999 9 Chouteau 015 6 0000

009 000 2 999 9 Custer 017 6 0000

010 000 2 999 9 Daniels 019 6 0000

011 000 2 999 9 Dawson 021 6 0000

012 000 2 001 6 Deer Lodge, coext. with Anaconda-Deer Lo 023 6 0000 01675

013 000 2 999 9 Fallon 025 6 0000

014 000 2 999 9 Fergus 027 6 0000

015 000 2 Flathead 029 4 0000

008 6 Kalispell 40075

999 9 Balance of county 99999

016 000 2 Gallatin 031 4 0000

003 6 Bozeman 08950

999 9 Balance of county 99999

017 000 2 999 9 Garfield 033 6 0000

018 000 2 999 9 Glacier 035 6 0000

019 000 2 999 9 Golden Valley 037 6 0000

020 000 2 999 9 Granite 039 6 0000

021 000 2 Hill 041 6 0000

006 6 Havre 35050

999 9 Balance of county 99999

022 000 2 999 9 Jefferson 043 6 0000

Vital Statistics Geographic Code Outline for the United States 158

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

27 Montana 30

023 000 2 999 9 Judith Basin 045 6 0000

024 000 2 999 9 Lake 047 6 0000

025 000 2 Lewis and Clark 049 5 0000

007 6 Helena 35600

999 9 Balance of county 99999

026 000 2 999 9 Liberty 051 6 0000

027 000 2 999 9 Lincoln 053 6 0000

028 000 2 999 9 McCone 055 6 0000

029 000 2 999 9 Madison 057 6 0000

030 000 2 999 9 Meagher 059 6 0000

031 000 2 999 9 Mineral 061 6 0000

032 000 2 Missoula 063 4 0000

009 5 Missoula 50200

999 9 Balance of county 99999

033 000 2 999 9 Musselshell 065 6 0000

034 000 2 999 9 Park 067 6 0000

035 000 2 999 9 Petroleum 069 6 0000

036 000 2 999 9 Phillips 071 6 0000

037 000 2 999 9 Pondera 073 6 0000

038 000 2 999 9 Powder River 075 6 0000

039 000 2 999 9 Powell 077 6 0000

040 000 2 999 9 Prairie 079 6 0000

041 000 2 999 9 Ravalli 081 5 0000

042 000 2 999 9 Richland 083 6 0000

043 000 2 999 9 Roosevelt 085 6 0000

044 000 2 999 9 Rosebud 087 6 0000

045 000 2 999 9 Sanders 089 6 0000

046 000 2 999 9 Sheridan 091 6 0000

047 000 2 Silver Bow 093 5 0000

004 5 Butte-Silver Bow 11390

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 159

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

27 Montana 30

048 000 2 999 9 Stillwater 095 6 0000

049 000 2 999 9 Sweet Grass 097 6 0000

050 000 2 999 9 Teton 099 6 0000

051 000 2 999 9 Toole 101 6 0000

052 000 2 999 9 Treasure 103 6 0000

053 000 2 999 9 Valley 105 6 0000

054 000 2 999 9 Wheatland 107 6 0000

055 000 2 999 9 Wibaux 109 6 0000

056 029 1 Yellowstone 111 3 0880

002 4 Billings 06550

999 9 Balance of county 99999

057 000 2 999 9 Yellowstone National Park 113 6 0000

Vital Statistics Geographic Code Outline for the United States 160

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

28 Nebraska 31

001 000 2 Adams 001 5 0000

006 6 Hastings 21415

999 9 Balance of county 99999

002 000 2 999 9 Antelope 003 6 0000

003 000 2 999 9 Arthur 005 6 0000

004 000 2 999 9 Banner 007 6 0000

005 000 2 999 9 Blaine 009 6 0000

006 000 2 999 9 Boone 011 6 0000

007 000 2 999 9 Box Butte 013 6 0000

008 000 2 999 9 Boyd 015 6 0000

009 000 2 999 9 Brown 017 6 0000

010 000 2 Buffalo 019 5 0000

007 6 Kearney 25055

999 9 Balance of county 99999

011 000 2 999 9 Burt 021 6 0000

012 000 2 999 9 Butler 023 6 0000

013 206 1 999 9 Cass 025 6 5920

014 000 2 999 9 Cedar 027 6 0000

015 000 2 999 9 Chase 029 6 0000

016 000 2 999 9 Cherry 031 6 0000

017 000 2 999 9 Cheyenne 033 6 0000

018 000 2 999 9 Clay 035 6 0000

019 000 2 999 9 Colfax 037 6 0000

020 000 2 999 9 Cuming 039 6 0000

021 000 2 999 9 Custer 041 6 0000

022 265 1 999 9 Dakota 043 6 7720

023 000 2 999 9 Dawes 045 6 0000

024 000 2 999 9 Dawson 047 6 0000

025 000 2 999 9 Deuel 049 6 0000

026 000 2 999 9 Dixon 051 6 0000

Vital Statistics Geographic Code Outline for the United States 161

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

28 Nebraska 31

027 000 2 Dodge 053 5 0000

004 6 Fremont 17670

999 9 Balance of county 99999

028 206 1 Douglas 055 2 5920

011 2 Omaha 37000

999 9 Balance of county 99999

029 000 2 999 9 Dundy 057 6 0000

030 000 2 999 9 Fillmore 059 6 0000

031 000 2 999 9 Franklin 061 6 0000

032 000 2 999 9 Frontier 063 6 0000

033 000 2 999 9 Furnas 065 6 0000

034 000 2 Gage 067 6 0000

001 6 Beatrice 03390

999 9 Balance of county 99999

035 000 2 999 9 Garden 069 6 0000

036 000 2 999 9 Garfield 071 6 0000

037 000 2 999 9 Gosper 073 6 0000

038 000 2 999 9 Grant 075 6 0000

039 000 2 999 9 Greeley 077 6 0000

040 000 2 Hall 079 5 0000

005 5 Grand Island 19595

999 9 Balance of county 99999

041 000 2 999 9 Hamilton 081 6 0000

042 000 2 999 9 Harlan 083 6 0000

043 000 2 999 9 Hayes 085 6 0000

044 000 2 999 9 Hitchcock 087 6 0000

045 000 2 999 9 Holt 089 6 0000

046 000 2 999 9 Hooker 091 6 0000

047 000 2 999 9 Howard 093 6 0000

048 000 2 999 9 Jefferson 095 6 0000

Vital Statistics Geographic Code Outline for the United States 162

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

28 Nebraska 31

049 000 2 999 9 Johnson 097 6 0000

050 000 2 999 9 Kearney 099 6 0000

051 000 2 999 9 Keith 101 6 0000

052 000 2 999 9 Keya Paha 103 6 0000

053 000 2 999 9 Kimball 105 6 0000

054 000 2 999 9 Knox 107 6 0000

055 165 1 Lancaster 109 3 4360

008 3 Lincoln 28000

999 9 Balance of county 99999

056 000 2 Lincoln 111 5 0000

010 6 North Platte 35000

999 9 Balance of county 99999

057 000 2 999 9 Logan 113 6 0000

058 000 2 999 9 Loup 115 6 0000

Vital Statistics Geographic Code Outline for the United States 163

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

28 Nebraska 31

059 000 2 999 9 McPherson 117 6 0000

060 000 2 Madison 119 5 0000

009 6 Norfolk 34615

999 9 Balance of county 99999

061 000 2 999 9 Merrick 121 6 0000

062 000 2 999 9 Morrill 123 6 0000

063 000 2 999 9 Nance 125 6 0000

064 000 2 999 9 Nemaha 127 6 0000

065 000 2 999 9 Nuckolls 129 6 0000

066 000 2 999 9 Otoe 131 6 0000

067 000 2 999 9 Pawnee 133 6 0000

068 000 2 999 9 Perkins 135 6 0000

069 000 2 999 9 Phelps 137 6 0000

070 000 2 999 9 Pierce 139 6 0000

071 000 2 Platte 141 5 0000

003 6 Columbus 10110

999 9 Balance of county 99999

072 000 2 999 9 Polk 143 6 0000

073 000 2 999 9 Red Willow 145 6 0000

074 000 2 999 9 Richardson 147 6 0000

075 000 2 999 9 Rock 149 6 0000

076 000 2 999 9 Saline 151 6 0000

077 206 1 Sarpy 153 3 5920

002 5 Bellevue 03950

012 6 Papillion 38295

999 9 Balance of county 99999

078 000 2 999 9 Saunders 155 6 0000

079 000 2 Scotts Bluff 157 5 0000

013 6 Scottsbluff 44245

999 9 Balance of county 99999

080 000 2 999 9 Seward 159 6 0000

Vital Statistics Geographic Code Outline for the United States 164

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

28 Nebraska 31

081 000 2 999 9 Sheridan 161 6 0000

082 000 2 999 9 Sherman 163 6 0000

083 000 2 999 9 Sioux 165 6 0000

084 000 2 999 9 Stanton 167 6 0000

085 000 2 999 9 Thayer 169 6 0000

086 000 2 999 9 Thomas 171 6 0000

087 000 2 999 9 Thurston 173 6 0000

088 000 2 999 9 Valley 175 6 0000

089 206 1 999 9 Washington 177 6 5920

090 000 2 999 9 Wayne 179 6 0000

091 000 2 999 9 Webster 181 6 0000

092 000 2 999 9 Wheeler 183 6 0000

093 000 2 999 9 York 185 6 0000

Vital Statistics Geographic Code Outline for the United States 165

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

29 Nevada 32

001 000 2 002 5 Carson City city 510 5 0000 09700

002 000 2 999 9 Churchill 001 6 0000

003 159 1 Clark 003 1 4120

001 6 Boulder City 06500

004 4 Henderson 31900

005 2 Las Vegas 40000

006 5 North Las Vegas 51800

999 9 Balance of county 99999

004 000 2 999 9 Douglas 005 5 0000

005 000 2 Elko 007 5 0000

003 6 Elko 22500

999 9 Balance of county 99999

006 000 2 999 9 Esmeralda 009 6 0000

007 000 2 999 9 Eureka 011 6 0000

008 000 2 999 9 Humboldt 013 6 0000

009 000 2 999 9 Lander 015 6 0000

010 000 2 999 9 Lincoln 017 6 0000

011 000 2 999 9 Lyon 019 6 0000

012 000 2 999 9 Mineral 021 6 0000

013 159 1 999 9 Nye 023 6 4120

014 000 2 999 9 Pershing 027 6 0000

015 000 2 999 9 Storey 029 6 0000

016 230 1 Washoe 031 2 6720

007 3 Reno 60600

008 4 Sparks 68400

999 9 Balance of county 99999

017 000 2 999 9 White Pine 033 6 0000

Vital Statistics Geographic Code Outline for the United States 166

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

30 New Hampshire 33

001 000 2 Belknap 001 5 0000

006 6 Laconia 40180

999 9 Balance of county 99999

002 000 2 999 9 Carroll 003 5 0000

003 000 2 Cheshire 005 4 0000

005 6 Keene 39300

999 9 Balance of county 99999

004 000 2 Coos 007 5 0000

001 6 Berlin 05140

999 9 Balance of county 99999

005 000 2 Grafton 009 4 0000

007 6 Lebanon 41300

999 9 Balance of county 99999

006 037 1 Hillsborough 011 2 1123

008 4 Manchester 45140

009 4 Nashua 50260

999 9 Balance of county 99999

007 000 2 Merrimack 013 3 0000

003 5 Concord 14200

999 9 Balance of county 99999

008 037 1 Rockingham 015 3 1123

010 5 Portsmouth 62900

012 5 Salem town 66660

999 9 Balance of county 99999

009 037 1 Strafford 017 3 1123

004 5 Dover 18820

011 5 Rochester 65140

013 6 Somersworth 69940

999 9 Balance of county 99999

010 000 2 Sullivan 019 5 0000

Vital Statistics Geographic Code Outline for the United States 167

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

30 New Hampshire 33

002 6 Claremont 12900

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 168

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

001 017 1 Atlantic 001 3 0560

003 5 Atlantic City 02080

014 6 Brigantine 07810

057 6 Hammonton 29430

130 6 Pleasantville 59640

148 6 Somers Point 68430

163 6 Ventnor City 75620

999 9 Balance of county 99999

002 028 1 Bergen 003 1 0875

007 6 Bergenfield borough 05170

022 6 Cliffside Park borough 13570

031 6 Dumont borough 18400

038 6 Elmwood Park borough 21300

039 6 Englewood 21480

042 5 Fair Lawn borough 22470

043 6 Fairview borough 22560

045 5 Fort Lee borough 24420

048 5 Garfield 25770

050 6 Glen Rock borough 26640

053 5 Hackensack 28680

060 6 Hasbrouck Heights borough 30420

081 6 Lodi borough 41100

083 6 Lyndhurst township 42090

106 6 New Milford borough 51660

108 6 North Arlington borough 52320

113 6 Oakland borough 53850

117 6 Palisades Park borough 55770

118 5 Paramus borough 55950

135 6 Ramsey borough 61680

137 6 Ridgefield Park village 62940

Vital Statistics Geographic Code Outline for the United States 169

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

138 6 Ridgewood village 63000

140 6 River Edge borough 63360

143 6 Rutherford borough 65280

144 6 Saddle Brook township 65340

156 5 Teaneck township 72360

157 6 Tenafly borough 72420

167 6 Wallington borough 76490

175 6 Westwood borough 80270

180 6 Wyckoff township 83050

999 9 Balance of county 99999

003 214 1 Burlington 005 2 6160

019 6 Cinnaminson township 12940

026 6 Delran township 17440

040 5 Evesham township 22110

044 6 Florence township 23850

088 6 Maple Shade township 43740

098 6 Moorestown township 47880

101 6 Mount Holly township 48900

102 5 Mount Laurel township 49020

122 5 Pemberton township 57510

176 5 Willingboro township 81440

999 9 Balance of county 99999

004 214 1 Camden 007 1 6160

006 6 Bellmawr borough 04750

015 4 Camden 10000

018 4 Cherry Hill township 12280

024 6 Collingswood borough 14260

051 6 Gloucester City 26820

052 4 Gloucester township 26760

Vital Statistics Geographic Code Outline for the United States 170

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

054 6 Haddonfield borough 28770

055 6 Haddon township 28740

078 6 Lindenwold borough 40440

123 5 Pennsauken township 57660

166 6 Voorhees township 76220

177 5 Winslow township 81740

999 9 Balance of county 99999

005 017 1 Cape May 009 4 0560

114 6 Ocean City 54360

999 9 Balance of county 99999

006 293 1 Cumberland 011 3 8760

012 6 Bridgeton 07600

095 5 Millville 46680

165 4 Vineland 76070

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 171

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

007 198 1 Essex 013 1 5640

005 5 Belleville township 04690

010 5 Bloomfield township 06250

017 6 Cedar Grove township 11230

033 4 East Orange 19390

069 4 Irvington township 34430

080 5 Livingston township 40920

089 6 Maplewood township 43830

094 6 Millburn township 46410

097 5 Montclair township 47485

104 2 Newark 51000

112 5 Nutley township 53670

151 6 South Orange Village township 69274

164 6 Verona township 75800

999 9 Balance of county 99999

008 214 1 Gloucester 015 3 6160

028 6 Deptford township 17710

049 6 Glassboro borough 26340

096 5 Monroe township 47250

168 5 Washington township 77180

171 6 West Deptford township 78800

179 6 Woodbury 82120

999 9 Balance of county 99999

009 139 1 Hudson 017 1 3640

004 4 Bayonne 03580

059 6 Harrison 30210

066 5 Hoboken 32250

071 3 Jersey City 36000

073 5 Kearny 36510

Vital Statistics Geographic Code Outline for the United States 172

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

109 5 North Bergen township 52440

147 6 Secaucus 66570

161 4 Union City 74630

170 6 Weehawken township 77960

173 5 West New York 79610

999 9 Balance of county 99999

010 181 1 999 9 Hunterdon 019 3 5015

011 284 1 Mercer 021 2 8480

034 6 East Windsor township 19780

041 5 Ewing township 22180

056 4 Hamilton township 29310

075 5 Lawrence township 39510

133 6 Princeton borough 60900

160 4 Trenton 74000

999 9 Balance of county 99999

012 181 1 Middlesex 023 1 5015

016 6 Carteret borough 10750

032 5 East Brunswick township 18970

036 4 Edison township 20260

063 6 Highland Park borough 31470

091 6 Metuchen borough 45690

092 6 Middlesex borough 45900

105 5 New Brunswick 51210

110 5 North Brunswick township 52590

116 4 Old Bridge township 54705

125 5 Perth Amboy 58200

127 5 Piscataway township 58980

129 6 Plainsboro township 59280

145 5 Sayreville borough 65790

Vital Statistics Geographic Code Outline for the United States 173

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

150 5 South Brunswick township 68790

152 6 South Plainfield borough 69390

153 6 South River borough 69420

178 6 Woodbridge township 81950

999 9 Balance of county 99999

013 186 1 Monmouth 025 1 5190

001 6 Aberdeen township 00070

002 6 Asbury Park 01960

035 6 Eatontown borough 19840

047 6 Freehold borough 25200

062 6 Hazlet township 30690

068 5 Howell township 33300

072 6 Keansburg borough 36480

082 5 Long Branch 41310

085 5 Manalapan township 42990

Vital Statistics Geographic Code Outline for the United States 174

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

013 Monmouth, con. 025 1 5190

090 5 Marlboro township 44070

093 4 Middletown township 45990

103 5 Neptune township 49890

115 5 Ocean township 54270

136 6 Red Bank borough 62430

158 6 Tinton Falls borough 73020

999 9 Balance of county 99999

014 198 1 Morris 027 2 5640

027 6 Denville township 17650

029 6 Dover 18070

058 6 Hanover township 29655

076 6 Lincoln Park borough 40290

084 6 Madison borough 42510

099 6 Morristown 48300

100 6 Morris township 48090

119 5 Parsippany-Troy Hills township 56475

124 6 Pequannock township 58125

999 9 Balance of county 99999

015 186 1 Ocean 029 2 5190

009 5 Berkeley township 05300

011 4 Brick township 07520

030 4 Dover township 18130

070 5 Jackson township 34680

074 5 Lakewood township 38550

086 5 Manchester township 43140

131 6 Point Pleasant borough 59880

999 9 Balance of county 99999

016 028 1 Passaic 031 2 0875

023 4 Clifton 13690

Vital Statistics Geographic Code Outline for the United States 175

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

061 6 Hawthorne borough 30570

079 6 Little Falls township 40650

120 4 Passaic 56550

121 3 Paterson 57000

132 6 Pompton Lakes borough 60090

139 6 Ringwood borough 63150

159 6 Totowa borough 73140

169 5 Wayne township 77870

174 6 West Paterson borough 79820

999 9 Balance of county 99999

017 214 1 999 9 Salem 033 4 6160

018 181 1 Somerset 035 3 5015

013 5 Bridgewater township 07720

046 5 Franklin township 24900

064 5 Hillsborough township 31890

087 6 Manville borough 43620

111 6 North Plainfield borough 53280

149 6 Somerville borough 68460

999 9 Balance of county 99999

019 198 1 Sussex 037 3 5640

067 6 Hopatcong borough 32910

999 9 Balance of county 99999

020 198 1 Union 039 2 5640

008 6 Berkeley Heights township 05350

021 6 Clark township 13180

025 6 Cranford township 15670

037 3 Elizabeth 21000

065 6 Hillside township 32010

077 5 Linden 40350

Vital Statistics Geographic Code Outline for the United States 176

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

31 New Jersey 34

107 6 New Providence borough 51810

128 5 Plainfield 59190

134 5 Rahway 61530

141 6 Roselle borough 64620

142 6 Roselle Park borough 64650

146 6 Scotch Plains township 66090

154 6 Springfield township 70050

155 6 Summit 71430

162 4 Union township 74510

172 5 Westfield 79040

999 9 Balance of county 99999

021 198 1 Warren 041 4 5640

126 6 Phillipsburg 58350

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 177

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

32 New Mexico 35

001 005 1 Bernalillo 001 2 0200

002 2 Albuquerque 02000

999 9 Balance of county 99999

002 000 2 999 9 Catron 003 6 0000

003 000 2 Chaves 005 4 0000

014 5 Roswell 64930

999 9 Balance of county 99999

004 000 2 999 9 Cibola 006 6 0000

005 000 2 999 9 Colfax 007 6 0000

006 000 2 Curry 009 5 0000

005 5 Clovis 16420

999 9 Balance of county 99999

007 000 2 999 9 De Baca 011 6 0000

008 158 1 Dona Ana 013 3 4100

010 4 Las Cruces 39380

999 9 Balance of county 99999

009 000 2 Eddy 015 5 0000

003 6 Artesia 05220

004 6 Carlsbad 12150

999 9 Balance of county 99999

010 000 2 Grant 017 5 0000

016 6 Silver City 73260

999 9 Balance of county 99999

011 000 2 999 9 Guadalupe 019 6 0000

012 000 2 999 9 Harding 021 6 0000

013 000 2 999 9 Hidalgo 023 6 0000

014 000 2 Lea 025 4 0000

009 5 Hobbs 32520

999 9 Balance of county 99999

015 000 2 999 9 Lincoln 027 6 0000

Vital Statistics Geographic Code Outline for the United States 178

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

32 New Mexico 35

016 255 1 999 9 Los Alamos 028 6 7490

017 000 2 Luna 029 6 0000

006 6 Deming 20270

999 9 Balance of county 99999

018 000 2 McKinley 031 4 0000

008 6 Gallup 28460

999 9 Balance of county 99999

019 000 2 999 9 Mora 033 6 0000

020 000 2 Otero 035 4 0000

001 5 Alamogordo 01780

999 9 Balance of county 99999

021 000 2 999 9 Quay 037 6 0000

022 000 2 999 9 Rio Arriba 039 5 0000

023 000 2 Roosevelt 041 6 0000

012 6 Portales 59260

999 9 Balance of county 99999

024 005 1 Sandoval 043 4 0200

013 5 Rio Rancho 63530

999 9 Balance of county 99999

025 000 2 San Juan 045 4 0000

007 5 Farmington 25800

999 9 Balance of county 99999

026 000 2 San Miguel 047 5 0000

011 6 Las Vegas 39940

999 9 Balance of county 99999

027 255 1 Santa Fe 049 4 7490

015 4 Santa Fe 70500

999 9 Balance of county 99999

028 000 2 999 9 Sierra 051 6 0000

029 000 2 999 9 Socorro 053 6 0000

Vital Statistics Geographic Code Outline for the United States 179

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

32 New Mexico 35

030 000 2 999 9 Taos 055 6 0000

031 000 2 999 9 Torrance 057 6 0000

032 000 2 999 9 Union 059 6 0000

033 005 1 999 9 Valencia 061 5 0200

Vital Statistics Geographic Code Outline for the United States 180

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

001 004 1 Albany 001 2 0160

001 3 Albany 01000

007 5 Bethlehem town 06354

017 6 Cohoes 16749

097 6 Watervliet 78674

999 9 Balance of county 99999

002 000 2 999 9 Allegany 003 4 0000

003 031 1 Broome 007 3 0960

008 4 Binghamton 06607

024 6 Endicott village 24515

043 6 Johnson City village 38748

095 5 Vestal town 77255

999 9 Balance of county 99999

004 000 2 Cattaraugus 009 4 0000

065 6 Olean 54716

999 9 Balance of county 99999

005 276 1 Cayuga 011 4 8160

003 5 Auburn 03078

999 9 Balance of county 99999

006 137 1 Chautauqua 013 3 3610

021 6 Dunkirk 21105

026 6 Fredonia village 27419

042 5 Jamestown 38264

999 9 Balance of county 99999

007 085 1 Chemung 015 4 2335

023 5 Elmira 24229

999 9 Balance of county 99999

008 000 2 999 9 Chenango 017 4 0000

009 000 2 Clinton 019 4 0000

073 6 Plattsburgh 58574

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 181

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

010 000 2 999 9 Columbia 021 4 0000

011 000 2 Cortland 023 5 0000

019 6 Cortland 18388

999 9 Balance of county 99999

012 000 2 999 9 Delaware 025 5 0000

013 081 1 Dutchess 027 2 2281

006 6 Beacon 05100

076 5 Poughkeepsie 59641

999 9 Balance of county 99999

014 043 1 Erie 029 1 1280

012 2 Buffalo 11000

020 6 Depew village 20313

036 6 Hamburg village 31643

044 6 Kenmore village 39232

046 6 Lackawanna 40189

047 6 Lancaster village 41135

091 6 Tonawanda 74166

099 5 West Seneca town 80918

999 9 Balance of county 99999

015 000 2 999 9 Essex 031 5 0000

016 000 2 999 9 Franklin 033 5 0000

017 000 2 Fulton 035 4 0000

034 6 Gloversville 29443

999 9 Balance of county 99999

018 236 1 Genesee 037 4 6840

005 6 Batavia 04715

999 9 Balance of county 99999

019 000 2 999 9 Greene 039 5 0000

020 000 2 999 9 Hamilton 041 6 0000

Vital Statistics Geographic Code Outline for the United States 182

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

021 289 1 999 9 Herkimer 043 4 8680

022 000 2 Jefferson 045 3 0000

096 5 Watertown 78608

999 9 Balance of county 99999

023 000 2 999 9 Lewis 049 5 0000

024 236 1 999 9 Livingston 051 4 6840

025 276 1 Madison 053 4 8160

066 6 Oneida 54837

999 9 Balance of county 99999

026 236 1 Monroe 055 1 6840

009 5 Brighton town 08246

015 5 Chili town 15462

030 5 Gates town 28442

035 4 Greece town 30290

Vital Statistics Geographic Code Outline for the United States 183

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

026 Monroe, con. 055 1 6840

039 5 Henrietta town 34099

040 4 Irondequoit town 37726

072 5 Penfield town 57144

078 3 Rochester 63000

999 9 Balance of county 99999

027 004 1 Montgomery 057 4 0160

002 6 Amsterdam 02066

999 9 Balance of county 99999

028 193 1 Nassau 059 0 5380

022 6 East Rockaway village 22876

025 6 Floral Park village 26264

027 5 Freeport village 27485

029 6 Garden City village 28178

032 6 Glen Cove 29113

038 5 Hempstead village 33139

050 5 Long Beach 43335

051 6 Lynbrook village 43874

054 6 Massapequa Park village 45997

057 6 Mineola village 47636

079 6 Rockville Centre village 63264

094 5 Valley Stream village 76705

098 6 Westbury village 79444

999 9 Balance of county 99999

029 197 1 New York city 5600 51000

010 0 Bronx borough, Bronx county 005 0

011 0 Brooklyn borough, Kings county 047 0

053 0 Manhattan borough, New York county 061 0

077 0 Queens borough, Queens county 081 0

087 0 Staten Island borough, Richmond county 085 0

Vital Statistics Geographic Code Outline for the United States 184

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

030 043 1 Niagara 063 3 1280

049 6 Lockport 43082

061 4 Niagara Falls 51055

063 5 North Tonawanda 53682

999 9 Balance of county 99999

031 289 1 Oneida 065 2 8680

080 5 Rome 63418

093 4 Utica 76540

999 9 Balance of county 99999

032 276 1 Onondaga 067 2 8160

089 3 Syracuse 73000

999 9 Balance of county 99999

033 236 1 Ontario 069 4 6840

013 6 Canandaigua 12144

031 6 Geneva, part 28640

999 9 Balance of county 99999

034 199 1 Orange 071 2 5660

056 6 Middletown 47042

059 5 Newburgh 50034

999 9 Balance of county 99999

035 236 1 999 9 Orleans 073 5 6840

036 276 1 Oswego 075 3 8160

028 6 Fulton 27815

069 6 Oswego 55574

999 9 Balance of county 99999

037 000 2 Otsego 077 4 0000

067 6 Oneonta 54881

999 9 Balance of county 99999

038 197 1 Putnam 079 4 5600

Vital Statistics Geographic Code Outline for the United States 185

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

014 5 Carmel town 12529

999 9 Balance of county 99999

039 004 1 Rensselaer 083 3 0160

092 4 Troy 75484

999 9 Balance of county 99999

040 197 1 Rockland 087 2 5600

086 6 Spring Valley village 70420

088 6 Suffern village 71894

999 9 Balance of county 99999

041 000 2 St. Lawrence 089 3 0000

055 6 Massena village 46019

064 6 Ogdensburg 54485

075 6 Potsdam village 59564

999 9 Balance of county 99999

042 004 1 Saratoga 091 3 0160

016 5 Clifton Park town 16353

Vital Statistics Geographic Code Outline for the United States 186

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

042 Saratoga, con. 091 3 0160

083 5 Saratoga Springs 65255

999 9 Balance of county 99999

043 004 1 Schenectady 093 3 0160

062 6 Niskayuna town 51264

081 5 Rotterdam town 63935

085 4 Schenectady 65508

999 9 Balance of county 99999

044 004 1 999 9 Schoharie 095 5 0160

045 000 2 999 9 Schuyler 097 6 0000

046 000 2 Seneca 099 5 0000

031 6 Geneva, part 28640

999 9 Balance of county 99999

047 000 2 Steuben 101 4 0000

018 6 Corning 18256

999 9 Balance of county 99999

048 193 1 Suffolk 103 0 5380

004 6 Babylon village 03408

048 5 Lindenhurst village 42554

070 6 Patchogue village 56660

999 9 Balance of county 99999

049 000 2 999 9 Sullivan 105 4 0000

050 031 1 999 9 Tioga 107 4 0960

051 000 2 Tompkins 109 4 0000

041 5 Ithaca 38077

999 9 Balance of county 99999

052 000 2 Ulster 111 3 0000

045 6 Kingston 39727

999 9 Balance of county 99999

053 109 1 Warren 113 4 2975

Vital Statistics Geographic Code Outline for the United States 187

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

33 New York 36

033 6 Glens Falls 29333

999 9 Balance of county 99999

054 109 1 999 9 Washington 115 4 2975

055 236 1 999 9 Wayne 117 4 6840

056 197 1 Westchester 119 1 5600

037 6 Harrison village 32402

052 6 Mamaroneck village 44831

058 4 Mount Vernon 49121

060 4 New Rochelle 50617

068 6 Ossining village 55530

071 6 Peekskill 56979

074 6 Port Chester village 59223

082 6 Rye 64309

084 6 Scarsdale village 65431

090 6 Tarrytown village 73176

100 5 White Plains 81677

101 3 Yonkers 84000

102 5 Yorktown town 84077

999 9 Balance of county 99999

057 000 2 999 9 Wyoming 121 5 0000

058 000 2 999 9 Yates 123 6 0000

Vital Statistics Geographic Code Outline for the United States 188

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

001 116 1 Alamance 001 3 3120

005 5 Burlington 09060

018 6 Graham 27280

999 9 Balance of county 99999

002 124 1 999 9 Alexander 003 5 3290

003 000 2 999 9 Alleghany 005 6 0000

004 000 2 999 9 Anson 007 6 0000

005 000 2 999 9 Ashe 009 6 0000

006 000 2 999 9 Avery 011 6 0000

007 000 2 999 9 Beaufort 013 5 0000

008 000 2 999 9 Bertie 015 6 0000

009 000 2 999 9 Bladen 017 5 0000

010 305 1 999 9 Brunswick 019 4 9200

011 014 1 Buncombe 021 3 0480

003 4 Asheville 02140

999 9 Balance of county 99999

012 124 1 Burke 023 4 3290

023 5 Hickory, part 31060

036 6 Morganton 44400

999 9 Balance of county 99999

013 051 1 Cabarrus 025 4 1520

010 5 Concord 14100

026 5 Kannapolis, part 35200

999 9 Balance of county 99999

014 124 1 Caldwell 027 4 3290

030 6 Lenoir 37760

999 9 Balance of county 99999

015 000 2 Camden 029 6 0000

013 6 Elizabeth City, part 20580

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 189

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

016 000 2 999 9 Carteret 031 4 0000

017 000 2 999 9 Caswell 033 6 0000

018 124 1 Catawba 035 3 3290

023 5 Hickory, part 31060

999 9 Balance of county 99999

019 226 1 999 9 Chatham 037 5 6640

020 000 2 999 9 Cherokee 039 6 0000

021 000 2 999 9 Chowan 041 6 0000

022 000 2 999 9 Clay 043 6 0000

023 000 2 Cleveland 045 4 0000

044 6 Shelby 61200

999 9 Balance of county 99999

024 000 2 999 9 Columbus 047 5 0000

025 000 2 Craven 049 4 0000

021 6 Havelock 30120

037 6 New Bern 46340

999 9 Balance of county 99999

026 091 1 Cumberland 051 2 2560

014 4 Fayetteville 22920

999 9 Balance of county 99999

027 200 1 999 9 Currituck 053 6 5720

028 000 2 999 9 Dare 055 6 0000

029 116 1 Davidson 057 3 3120

024 4 High Point, part 31400

031 6 Lexington 38060

047 6 Thomasville 67420

999 9 Balance of county 99999

030 116 1 999 9 Davie 059 5 3120

031 000 2 999 9 Duplin 061 5 0000

Vital Statistics Geographic Code Outline for the United States 190

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

032 226 1 Durham 063 3 6640

008 5 Chapel Hill, part 11800

011 3 Durham, part 19000

999 9 Balance of county 99999

033 238 1 Edgecombe 065 4 6895

041 5 Rocky Mount, part 57500

046 6 Tarboro 66700

999 9 Balance of county 99999

034 116 1 Forsyth 067 2 3120

024 4 High Point, part 31400

027 6 Kerner

sville, part 35600

050 3 Winston-Salem 75000

999 9 Balance of county 99999

035 226 1 999 9 Franklin 069 5 6640

036 051 1 Gaston 071 3 1520

016 4 Gastonia 25580

Vital Statistics Geographic Code Outline for the United States 191

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

036 Gaston, con. 071 3 1520

999 9 Balance of county 99999

037 000 2 999 9 Gates 073 6 0000

038 000 2 999 9 Graham 075 6 0000

039 000 2 999 9 Granville 077 5 0000

040 000 2 999 9 Greene 079 6 0000

041 116 1 Guilford 081 2 3120

019 3 Greensboro 28000

024 4 High Point, part 31400

027 6 Kernersville, part 35600

999 9 Balance of county 99999

042 000 2 Halifax 083 4 0000

040 6 Roanoke Rapids 56900

999 9 Balance of county 99999

043 000 2 999 9 Harnett 085 4 0000

044 000 2 999 9 Haywood 087 5 0000

045 000 2 999 9 Henderson 089 4 0000

046 000 2 999 9 Hertford 091 6 0000

047 000 2 999 9 Hoke 093 6 0000

048 000 2 999 9 Hyde 095 6 0000

049 000 2 Iredell 097 4 0000

045 6 Statesville 64740

999 9 Balance of county 99999

050 000 2 999 9 Jackson 099 5 0000

051 226 1 999 9 Johnston 101 4 6640

052 000 2 999 9 Jones 103 6 0000

053 000 2 Lee 105 5 0000

043 6 Sanford 59280

999 9 Balance of county 99999

054 000 2 Lenoir 107 4 0000

Vital Statistics Geographic Code Outline for the United States 192

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

028 5 Kinston 35920

999 9 Balance of county 99999

055 051 1 999 9 Lincoln 109 4 1520

056 000 2 999 9 McDowell 111 5 0000

057 000 2 999 9 Macon 113 6 0000

058 014 1 999 9 Madison 115 6 0480

059 000 2 999 9 Martin 117 5 0000

060 051 1 Mecklenburg 119 1 1520

009 2 Charlotte 12000

033 6 Matthews 41960

034 6 Mint Hill 43480

999 9 Balance of county 99999

061 000 2 999 9 Mitchell 121 6 0000

062 000 2 999 9 Montgomery 123 6 0000

063 000 2 999 9 Moore 125 4 0000

064 238 1 Nash 127 4 6895

041 5 Rocky Mount, part 57500

999 9 Balance of county 99999

065 305 1 New Hanover 129 3 9200

048 4 Wilmington 74440

999 9 Balance of county 99999

066 000 2 999 9 Northampton 131 6 0000

067 136 1 Onslow 133 3 3605

025 5 Jacksonville 34200

999 9 Balance of county 99999

068 226 1 Orange 135 4 6640

006 6 Carrboro 10620

008 5 Chapel Hill, part 11800

011 3 Durham, part 19000

Vital Statistics Geographic Code Outline for the United States 193

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

999 9 Balance of county 99999

069 000 2 999 9 Pamlico 137 6 0000

070 000 2 Pasquotank 139 5 0000

013 6 Elizabeth City, part 20580

999 9 Balance of county 99999

071 000 2 999 9 Pender 141 5 0000

072 000 2 999 9 Perquimans 143 6 0000

073 000 2 999 9 Person 145 5 0000

074 117 1 Pitt 147 3 3150

020 5 Greenville 28080

999 9 Balance of county 99999

075 000 2 999 9 Polk 149 6 0000

076 116 1 Randolph 151 3 3120

002 6 Asheboro 02080

024 4 High Point, part 31400

Vital Statistics Geographic Code Outline for the United States 194

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

076 Randolph, con. 151 3 3120

999 9 Balance of county 99999

077 000 2 999 9 Richmond 153 5 0000

078 000 2 Robeson 155 3 0000

032 6 Lumberton 39700

999 9 Balance of county 99999

079 000 2 Rockingham 157 4 0000

012 6 Eden 20080

039 6 Reidsville 55900

999 9 Balance of county 99999

080 051 1 Rowan 159 3 1520

026 5 Kannapolis, part 35200

042 6 Salisbury 58860

999 9 Balance of county 99999

081 000 2 999 9 Rutherford 161 4 0000

082 000 2 999 9 Sampson 163 5 0000

083 000 2 Scotland 165 5 0000

029 6 Laurinburg 37220

999 9 Balance of county 99999

084 000 2 Stanly 167 4 0000

001 6 Albemarle 00680

999 9 Balance of county 99999

085 116 1 999 9 Stokes 169 5 3120

086 000 2 999 9 Surry 171 4 0000

087 000 2 999 9 Swain 173 6 0000

088 000 2 999 9 Transylvania 175 5 0000

089 000 2 999 9 Tyrrell 177 6 0000

090 051 1 Union 179 4 1520

035 6 Monroe 43920

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 195

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

34 North Carolina 37

091 000 2 Vance 181 5 0000

022 6 Henderson 30660

999 9 Balance of county 99999

092 226 1 Wake 183 2 6640

007 5 Cary 10740

015 6 Garner 25480

038 3 Raleigh 55000

999 9 Balance of county 99999

093 000 2 999 9 Warren 185 6 0000

094 000 2 999 9 Washington 187 6 0000

095 000 2 Watauga 189 5 0000

004 6 Boone 07080

999 9 Balance of county 99999

096 110 1 Wayne 191 3 2980

017 5 Goldsboro 26880

999 9 Balance of county 99999

097 000 2 999 9 Wilkes 193 4 0000

098 000 2 Wilson 195 4 0000

049 5 Wilson 74540

999 9 Balance of county 99999

099 116 1 999 9 Yadkin 197 5 3120

100 000 2 999 9 Yancey 199 6 0000

Vital Statistics Geographic Code Outline for the United States 196

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

35 North Dakota 38

001 000 2 999 9 Adams 001 6 0000

002 000 2 999 9 Barnes 003 6 0000

003 000 2 999 9 Benson 005 6 0000

004 000 2 999 9 Billings 007 6 0000

005 000 2 999 9 Bottineau 009 6 0000

006 000 2 999 9 Bowman 011 6 0000

007 000 2 999 9 Burke 013 6 0000

008 033 1 Burleigh 015 4 1010

001 5 Bismarck 07200

999 9 Balance of county 99999

009 090 1 Cass 017 3 2520

003 4 Fargo 25700

008 6 West Fargo 84780

999 9 Balance of county 99999

010 000 2 999 9 Cavalier 019 6 0000

011 000 2 999 9 Dickey 021 6 0000

012 000 2 999 9 Divide 023 6 0000

013 000 2 999 9 Dunn 025 6 0000

014 000 2 999 9 Eddy 027 6 0000

015 000 2 999 9 Emmons 029 6 0000

016 000 2 999 9 Foster 031 6 0000

017 000 2 999 9 Golden Valley 033 6 0000

018 111 1 Grand Forks 035 4 2985

004 5 Grand Forks 32060

999 9 Balance of county 99999

019 000 2 999 9 Grant 037 6 0000

020 000 2 999 9 Griggs 039 6 0000

021 000 2 999 9 Hettinger 041 6 0000

022 000 2 999 9 Kidder 043 6 0000

023 000 2 999 9 La Moure 045 6 0000

Vital Statistics Geographic Code Outline for the United States 197

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

35 North Dakota 38

024 000 2 999 9 Logan 047 6 0000

025 000 2 999 9 McHenry 049 6 0000

026 000 2 999 9 McIntosh 051 6 0000

027 000 2 999 9 McKenzie 053 6 0000

028 000 2 999 9 McLean 055 6 0000

029 000 2 999 9 Mercer 057 6 0000

030 033 1 Morton 059 6 1010

006 6 Mandan 49900

999 9 Balance of county 99999

031 000 2 999 9 Mountrail 061 6 0000

032 000 2 999 9 Nelson 063 6 0000

033 000 2 999 9 Oliver 065 6 0000

034 000 2 999 9 Pembina 067 6 0000

035 000 2 999 9 Pierce 069 6 0000

036 000 2 999 9 Ramsey 071 6 0000

037 000 2 999 9 Ransom 073 6 0000

038 000 2 999 9 Renville 075 6 0000

039 000 2 999 9 Richland 077 6 0000

040 000 2 999 9 Rolette 079 6 0000

041 000 2 999 9 Sargent 081 6 0000

042 000 2 999 9 Sheridan 083 6 0000

043 000 2 999 9 Sioux 085 6 0000

044 000 2 999 9 Slope 087 6 0000

045 000 2 Stark 089 6 0000

002 6 Dickinson 19620

999 9 Balance of county 99999

046 000 2 999 9 Steele 091 6 0000

047 000 2 Stutsman 093 6 0000

005 6 Jamestown 40580

Vital Statistics Geographic Code Outline for the United States 198

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

35 North Dakota 38

999 9 Balance of county 99999

048 000 2 999 9 Towner 095 6 0000

049 000 2 999 9 Traill 097 6 0000

050 000 2 999 9 Walsh 099 6 0000

051 000 2 Ward 101 4 0000

007 5 Minot 53380

999 9 Balance of county 99999

052 000 2 999 9 Wells 103 6 0000

053 000 2 Williams 105 6 0000

009 6 Williston 86220

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 199

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

001 000 2 999 9 Adams 001 5 0000

002 164 1 Allen 003 3 4320

072 5 Lima 43554

999 9 Balance of county 99999

003 000 2 Ashland 005 5 0000

004 6 Ashland 02568

999 9 Balance of county 99999

004 059 1 Ashtabula 007 4 1680

005 6 Ashtabula 02638

035 6 Conneaut 18350

999 9 Balance of county 99999

005 000 2 Athens 009 4 0000

006 6 Athens 02736

999 9 Balance of county 99999

006 164 1 999 9 Auglaize 011 5 4320

007 300 1 999 9 Belmont 013 4 9000

008 057 1 999 9 Brown 015 5 1640

009 120 1 Butler 017 2 3200

050 5 Fairfield 25970

063 4 Hamilton 33012

088 5 Middletown, part 49840

102 6 Oxford 59234

117 6 Sharonville, part 71892

999 9 Balance of county 99999

010 045 1 999 9 Carroll 019 5 1320

011 000 2 Champaign 021 5 0000

134 6 Urbana 79072

999 9 Balance of county 99999

012 070 1 Clark 023 3 2000

122 4 Springfield 74118

Vital Statistics Geographic Code Outline for the United States 200

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

999 9 Balance of county 99999

013 057 1 999 9 Clermont 025 3 1640

014 000 2 Clinton 027 5 0000

149 6 Wilmington 85792

999 9 Balance of county 99999

015 309 1 Columbiana 029 3 9320

045 6 East Liverpool 23730

113 6 Salem 69834

999 9 Balance of county 99999

016 000 2 Coshocton 031 5 0000

036 6 Coshocton 18868

999 9 Balance of county 99999

017 174 1 Crawford 033 5 4800

024 6 Bucyrus 10030

058 6 Galion 29162

999 9 Balance of county 99999

018 059 1 Cuyahoga 035 0 1680

009 6 Bay Village 04416

010 6 Beachwood 04500

012 6 Bedford 04878

013 6 Bedford Heights 04920

015 6 Berea 05690

019 6 Brecksville 08364

020 6 Broadview Heights 09064

021 6 Brooklyn 09246

022 6 Brook Park 09288

032 1 Cleveland 16000

033 4 Cleveland Heights 16014

043 5 East Cleveland 23380

Vital Statistics Geographic Code Outline for the United States 201

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA

36 Ohio 39

048 4 Euclid 25704

051 6 Fairview Park 26446

059 5 Garfield Heights 29428

069 4 Lakewood 41664

075 6 Lyndhurst 45556

077 5 Maple Heights 47306

083 6 Mayfield Heights 48482

087 6 Middleburg Heights 49644

095 5 North Olmsted 56882

097 6 North Royalton 57008

104 4 Parma 61000

105 6 Parma Heights 61028

112 6 Rocky River 68056

115 6 Seven Hills 71416

116 5 Shaker Heights 71682

Vital Statistics Geographic Code Outline for the United States 202

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

018 Cuyahoga, con. 035 0 1680

119 6 Solon 72928

120 6 South Euclid 73264

125 5 Strongsville 75098

132 6 University Heights 78932

140 6 Warrensville Heights 80990

144 5 Westlake 83622

999 9 Balance of county 99999

019 000 2 Darke 037 4 0000

061 6 Greenville 32340

999 9 Balance of county 99999

020 000 2 Defiance 039 5 0000

039 6 Defiance 21308

999 9 Balance of county 99999

021 064 1 Delaware 041 4 1840

040 6 Delaware 21434

042 6 Dublin, part 22694

143 5 Westerville, part 83342

999 9 Balance of county 99999

022 000 2 Erie 043 4 0000

114 5 Sandusky 70380

137 6 Vermilion, part 79716

999 9 Balance of county 99999

023 064 1 Fairfield 045 3 1840

034 1 Columbus, part 18000

070 5 Lancaster 41720

111 5 Reynoldsburg, part 66390

999 9 Balance of county 99999

024 000 2 Fayette 047 5 0000

141 6 Washington 81214

Vital Statistics Geographic Code Outline for the United States 203

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

999 9 Balance of county 99999

025 064 1 Franklin 049 1 1840

016 6 Bexley 06278

034 1 Columbus, part 18000

042 6 Dublin, part 22694

057 5 Gahanna 29106

062 6 Grove City 32592

064 6 Hilliard 35476

111 5 Reynoldsburg, part 66390

133 5 Upper Arlington 79002

143 5 Westerville, part 83342

145 6 Whitehall 84742

151 6 Worthington 86604

999 9 Balance of county 99999

026 282 1 999 9 Fulton 051 5 8400

027 000 2 999 9 Gallia 053 5 0000

028 059 1 999 9 Geauga 055 4 1680

029 070 1 Greene 057 3 2000

011 5 Beavercreek 04720

049 5 Fairborn 25914

152 6 Xenia 86772

999 9 Balance of county 99999

030 000 2 Guernsey 059 5 0000

025 6 Cambridge 10996

999 9 Balance of county 99999

031 057 1 Hamilton 061 1 1640

017 6 Blue Ash 07300

030 2 Cincinnati 15000

053 6 Forest Park 27706

074 6 Loveland 45108

Vital Statistics Geographic Code Outline for the United States 204

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

094 6 North College Hill 56322

100 6 Norwood 57386

110 6 Reading 65732

117 6 Sharonville, part 71892

121 6 Springdale 74104

999 9 Balance of county 99999

032 000 2 Hancock 063 4 0000

052 5 Findlay 27048

054 6 Fostoria, part 28014

999 9 Balance of county 99999

033 000 2 999 9 Hardin 065 5 0000

034 000 2 999 9 Harrison 067 6 0000

035 000 2 999 9 Henry 069 5 0000

036 000 2 999 9 Highland 071 5 0000

Vital Statistics Geographic Code Outline for the United States 205

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

037 000 2 999 9 Hocking 073 5 0000

038 000 2 999 9 Holmes 075 5 0000

039 000 2 Huron 077 4 0000

099 6 Norwalk 57302

999 9 Balance of county 99999

040 000 2 999 9 Jackson 079 5 0000

041 273 1 Jefferson 081 4 8080

123 6 Steubenville 74608

999 9 Balance of county 99999

042 000 2 Knox 083 5 0000

089 6 Mount Vernon 53102

999 9 Balance of county 99999

043 059 1 Lake 085 3 1680

044 6 Eastlake 23618

085 5 Mentor 49056

103 6 Painesville 59416

146 6 Wickliffe 85036

147 6 Willoughby 85484

148 6 Willowick 85638

999 9 Balance of county 99999

044 128 1 Lawrence 087 4 3400

066 6 Ironton 37464

999 9 Balance of county 99999

045 064 1 Licking 089 3 1840

090 5 Newark 54040

111 5 Reynoldsburg, part 66390

999 9 Balance of county 99999

046 000 2 Logan 091 5 0000

014 6 Bellefontaine 05130

999 9 Balance of county 99999

047 059 1 Lorain 093 2 1680

Vital Statistics Geographic Code Outline for the United States 206

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

003 6 Amherst 01798

007 6 Avon Lake 03464

046 4 Elyria 25256

073 4 Lorain 44856

096 6 North Ridgeville 56966

137 6 Vermilion, part 79716

999 9 Balance of county 99999

048 282 1 Lucas 095 2 8400

082 6 Maumee 48342

101 6 Oregon 58730

127 6 Sylvania 76022

130 2 Toledo 77000

999 9 Balance of county 99999

049 064 1 999 9 Madison 097 5 1840

050 309 1 Mahoning 099 2 9320

002 6 Alliance, part 01420

026 6 Campbell 11066

126 6 Struthers 75126

153 4 Youngstown, part 88000

999 9 Balance of county 99999

051 000 2 Marion 101 4 0000

079 5 Marion 47754

999 9 Balance of county 99999

052 059 1 Medina 103 3 1680

023 5 Brunswick 09680

084 6 Medina 48790

138 6 Wadsworth 80304

999 9 Balance of county 99999

053 000 2 999 9 Meigs 105 6 0000

054 000 2 999 9 Mercer 107 5 0000

Vital Statistics Geographic Code Outline for the United States 207

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

055 070 1 Miami 109 4 2000

065 5 Huber Heights, part 36610

107 6 Piqua 62848

131 6 Troy 77588

999 9 Balance of county 99999

056 000 2 999 9 Monroe 111 6 0000

057 070 1 Montgomery 113 1 2000

028 6 Centerville 13190

038 3 Dayton 21000

047 6 Englewood 25396

065 5 Huber Heights, part 36610

068 4 Kettering 40040

086 6 Miamisburg 49434

Vital Statistics Geographic Code Outline for the United States 208

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

057 Montgomery, con. 113 1 2000

135 6 Vandalia 79492

142 6 West Carrollton City 83090

999 9 Balance of county 99999

058 000 2 999 9 Morgan 115 6 0000

059 000 2 999 9 Morrow 117 5 0000

060 000 2 Muskingum 119 4 0000

154 5 Zanesville 88084

999 9 Balance of county 99999

061 000 2 999 9 Noble 121 6 0000

062 000 2 999 9 Ottawa 123 5 0000

063 000 2 999 9 Paulding 125 6 0000

064 000 2 999 9 Perry 127 5 0000

065 064 1 Pickaway 129 5 1840

031 6 Circleville 15070

999 9 Balance of county 99999

066 000 2 999 9 Pike 131 6 0000

067 002 1 Portage 133 3 0080

067 5 Kent 39872

109 6 Ravenna 65592

999 9 Balance of county 99999

068 000 2 999 9 Preble 135 5 0000

069 000 2 999 9 Putnam 137 5 0000

070 174 1 Richland 139 3 4800

076 4 Mansfield 47138

999 9 Balance of county 99999

071 000 2 Ross 141 4 0000

029 6 Chillicothe 14184

999 9 Balance of county 99999

072 000 2 Sandusky 143 4 0000

056 6 Fremont 28826

Vital Statistics Geographic Code Outline for the United States 209

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

999 9 Balance of county 99999

073 000 2 Scioto 145 4 0000

108 6 Portsmouth 64304

999 9 Balance of county 99999

074 000 2 Seneca 147 4 0000

054 6 Fostoria, part 28014

129 6 Tiffin 76778

999 9 Balance of county 99999

075 000 2 Shelby 149 5 0000

118 6 Sidney 72424

999 9 Balance of county 99999

076 045 1 Stark 151 2 1320

002 6 Alliance, part 01420

027 4 Canton 12000

081 5 Massillon 48244

093 6 North Canton 56294

999 9 Balance of county 99999

077 002 1 Summit 153 1 0080

001 3 Akron 01000

008 5 Barberton 03828

037 5 Cuyahoga Falls 19778

098 6 Norton, part 57260

124 5 Stow 74944

128 6 Tallmadge 76106

999 9 Balance of county 99999

078 309 1 Trumbull 155 3 9320

060 6 Girard 30198

092 6 Niles 55916

139 4 Warren 80892

153 4 Youngstown, part 88000

Vital Statistics Geographic Code Outline for the United States 210

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

999 9 Balance of county 99999

079 000 2 Tuscarawas 157 4 0000

041 6 Dover 22456

091 6 New Philadelphia 55216

999 9 Balance of county 99999

080 000 2 Union 159 5 0000

042 6 Dublin, part 22694

999 9 Balance of county 99999

081 000 2 Van Wert 161 5 0000

136 6 Van Wert 79562

999 9 Balance of county 99999

082 000 2 999 9 Vinton 163 6 0000

083 057 1 Warren 165 3 1640

055 6 Franklin 28476

Vital Statistics Geographic Code Outline for the United States 211

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

36 Ohio 39

083 Warren, con. 165 3 1640

071 6 Lebanon 42364

080 6 Mason 48188

088 5 Middletown, part 49840

999 9 Balance of county 99999

084 211 1 Washington 167 4 6020

078 6 Marietta 47628

999 9 Balance of county 99999

085 000 2 Wayne 169 3 0000

098 6 Norton, part 57260

150 6 Wooster 86548

999 9 Balance of county 99999

086 000 2 999 9 Williams 171 5 0000

087 282 1 Wood 173 3 8400

018 5 Bowling Green 07972

054 6 Fostoria, part 28014

106 6 Perrysburg 62148

999 9 Balance of county 99999

088 000 2 999 9 Wyandot 175 6 0000

Vital Statistics Geographic Code Outline for the United States 212

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

37 Oklahoma 40

001 000 2 999 9 Adair 001 6 0000

002 000 2 999 9 Alfalfa 003 6 0000

003 000 2 999 9 Atoka 005 6 0000

004 000 2 999 9 Beaver 007 6 0000

005 000 2 Beckham 009 6 0000

013 6 Elk City 23500

999 9 Balance of county 99999

006 000 2 999 9 Blaine 011 6 0000

007 000 2 Bryan 013 5 0000

011 6 Durant 22050

999 9 Balance of county 99999

008 000 2 999 9 Caddo 015 5 0000

009 204 1 Canadian 017 4 5880

014 6 El Reno 23700

023 6 Mustang 50100

025 2 Oklahoma City, part 55000

038 6 Yukon 82950

999 9 Balance of county 99999

010 000 2 Carter 019 5 0000

003 6 Ardmore 02600

999 9 Balance of county 99999

011 000 2 Cherokee 021 5 0000

033 6 Tahlequah 72100

999 9 Balance of county 99999

012 000 2 999 9 Choctaw 023 6 0000

013 000 2 999 9 Cimarron 025 6 0000

014 204 1 Cleveland 027 3 5880

021 5 Moore 49200

024 4 Norman 52500

025 2 Oklahoma City, part 55000

Vital Statistics Geographic Code Outline for the United States 213

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

37 Oklahoma 40

999 9 Balance of county 99999

015 000 2 999 9 Coal 029 6 0000

016 161 1 Comanche 031 3 4200

017 4 Lawton 41850

999 9 Balance of county 99999

017 000 2 999 9 Cotton 033 6 0000

018 000 2 999 9 Craig 035 6 0000

019 286 1 Creek 037 4 8560

030 6 Sapulpa 65400

999 9 Balance of county 99999

020 000 2 Custer 039 5 0000

036 6 Weatherford 79450

999 9 Balance of county 99999

021 000 2 999 9 Delaware 041 5 0000

022 000 2 999 9 Dewey 043 6 0000

023 000 2 999 9 Ellis 045 6 0000

024 086 1 Garfield 047 4 2340

015 5 Enid 23950

999 9 Balance of county 99999

025 000 2 999 9 Garvin 049 5 0000

026 000 2 Grady 051 5 0000

007 6 Chickasha 13950

999 9 Balance of county 99999

027 000 2 999 9 Grant 053 6 0000

028 000 2 999 9 Greer 055 6 0000

029 000 2 999 9 Harmon 057 6 0000

030 000 2 999 9 Harper 059 6 0000

031 000 2 999 9 Haskell 061 6 0000

032 000 2 999 9 Hughes 063 6 0000

033 000 2 Jackson 065 5 0000

Vital Statistics Geographic Code Outline for the United States 214

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

37 Oklahoma 40

002 6 Altus 01700

999 9 Balance of county 99999

034 000 2 999 9 Jefferson 067 6 0000

035 000 2 999 9 Johnston 069 6 0000

036 000 2 Kay 071 5 0000

028 5 Ponca City 59850

999 9 Balance of county 99999

037 000 2 999 9 Kingfisher 073 6 0000

038 000 2 999 9 Kiowa 075 6 0000

039 000 2 999 9 Latimer 077 6 0000

040 000 2 999 9 Le Flore 079 5 0000

041 000 2 999 9 Lincoln 081 5 0000

042 204 1 Logan 083 5 5880

016 6 Guthrie 31700

Vital Statistics Geographic Code Outline for the United States 215

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

37 Oklahoma 40

042 Logan, con. 083 5 5880

999 9 Balance of county 99999

043 000 2 999 9 Love 085 6 0000

044 204 1 McClain 087 6 5880

025 2 Oklahoma City, part 55000

999 9 Balance of county 99999

045 000 2 999 9 McCurtain 089 5 0000

046 000 2 999 9 McIntosh 091 6 0000

047 000 2 999 9 Major 093 6 0000

048 000 2 999 9 Marshall 095 6 0000

049 000 2 999 9 Mayes 097 5 0000

050 000 2 999 9 Murray 099 6 0000

051 000 2 Muskogee 101 4 0000

022 5 Muskogee 50050

999 9 Balance of county 99999

052 000 2 999 9 Noble 103 6 0000

053 000 2 999 9 Nowata 105 6 0000

054 000 2 999 9 Okfuskee 107 6 0000

055 204 1 Oklahoma 109 1 5880

005 6 Bethany 05700

009 6 Del City 19900

012 4 Edmond 23200

020 4 Midwest City 48350

025 2 Oklahoma City, part 55000

034 6 The Village 73250

999 9 Balance of county 99999

056 000 2 Okmulgee 111 5 0000

026 6 Okmulgee 55150

999 9 Balance of county 99999

057 286 1 Osage 113 5 8560

Vital Statistics Geographic Code Outline for the United States 216

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

37 Oklahoma 40

004 5 Bartlesville, part 04450

029 6 Sand Springs, part 65300

035 2 Tulsa, part 75000

999 9 Balance of county 99999

058 000 2 Ottawa 115 5 0000

019 6 Miami 48000

999 9 Balance of county 99999

059 000 2 999 9 Pawnee 117 6 0000

060 000 2 Payne 119 4 0000

032 5 Stillwater 70300

999 9 Balance of county 99999

061 000 2 Pittsburg 121 5 0000

018 6 McAlester 44800

999 9 Balance of county 99999

062 000 2 Pontotoc 123 5 0000

001 6 Ada 00200

999 9 Balance of county 99999

063 204 1 Pottawatomie 125 4 5880

025 2 Oklahoma City, part 55000

031 5 Shawnee 66800

999 9 Balance of county 99999

064 000 2 999 9 Pushmataha 127 6 0000

065 000 2 999 9 Roger Mills 129 6 0000

066 286 1 Rogers 131 4 8560

008 6 Claremore 14700

999 9 Balance of county 99999

067 000 2 999 9 Seminole 133 5 0000

068 100 1 999 9 Sequoyah 135 5 2720

069 000 2 Stephens 137 5 0000

010 6 Duncan 21900

Vital Statistics Geographic Code Outline for the United States 217

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

37 Oklahoma 40

999 9 Balance of county 99999

070 000 2 999 9 Texas 139 6 0000

071 000 2 999 9 Tillman 141 6 0000

072 286 1 Tulsa 143 1 8560

006 4 Broken Arrow, part 09050

027 6 Owasso 56650

029 6 Sand Springs, part 65300

035 2 Tulsa, part 75000

999 9 Balance of county 99999

073 286 1 Wagoner 145 5 8560

006 4 Broken Arrow, part 09050

999 9 Balance of county 99999

074 000 2 Washington 147 5 0000

004 5 Bartlesville, part 04450

Vital Statistics Geographic Code Outline for the United States 218

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

37 Oklahoma 40

074 Washington, con. 147 5 0000

999 9 Balance of county 99999

075 000 2 999 9 Washita 149 6 0000

076 000 2 999 9 Woods 151 6 0000

077 000 2 Woodward 153 6 0000

037 6 Woodward 82150

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 219

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

38 Oregon 41

001 000 2 999 9 Baker 001 6 0000

002 000 2 Benton 003 4 0000

001 5 Albany, part 01000

008 5 Corvallis 15800

999 9 Balance of county 99999

003 220 1 Clackamas 005 2 6440

011 6 Gladstone 29000

019 5 Lake Oswego, part 40550

023 6 Milwaukie, part 48650

025 6 Oregon City 55200

027 2 Portland, part 59000

032 6 Tualatin, part 74950

033 6 West Linn 80150

999 9 Balance of county 99999

004 000 2 Clatsop 007 5 0000

003 6 Astoria 03150

999 9 Balance of county 99999

005 220 1 999 9 Columbia 009 5 6440

006 000 2 Coos 011 4 0000

007 6 Coos Bay 15250

999 9 Balance of county 99999

007 000 2 999 9 Crook 013 6 0000

008 000 2 999 9 Curry 015 6 0000

009 000 2 Deschutes 017 4 0000

005 6 Bend 05800

999 9 Balance of county 99999

010 000 2 Douglas 019 4 0000

028 6 Roseburg 63650

999 9 Balance of county 99999

011 000 2 999 9 Gilliam 021 6 0000

Vital Statistics Geographic Code Outline for the United States 220

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

38 Oregon 41

012 000 2 999 9 Grant 023 6 0000

013 000 2 999 9 Harney 025 6 0000

014 000 2 999 9 Hood River 027 6 0000

015 176 1 Jackson 029 3 4890

002 6 Ashland 03050

022 5 Medford 47000

999 9 Balance of county 99999

016 000 2 999 9 Jefferson 031 6 0000

017 000 2 Josephine 033 4 0000

012 6 Grants Pass 30550

999 9 Balance of county 99999

018 000 2 Klamath 035 4 0000

017 6 Klamath Falls 39700

999 9 Balance of county 99999

019 000 2 999 9 Lake 037 6 0000

020 088 1 Lane 039 2 2400

009 3 Eugene 23850

030 5 Springfield 69600

999 9 Balance of county 99999

021 000 2 999 9 Lincoln 041 5 0000

022 000 2 Linn 043 4 0000

001 5 Albany, part 01000

020 6 Lebanon 41650

999 9 Balance of county 99999

023 000 2 999 9 Malheur 045 5 0000

024 244 1 Marion 047 3 7080

016 6 Keizer 38500

029 3 Salem, part 64900

034 6 Woodburn 83750

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 221

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

38 Oregon 41

025 000 2 999 9 Morrow 049 6 0000

026 220 1 Multnomah 051 1 6440

013 4 Gresham 31250

019 5 Lake Oswego, part 40550

023 6 Milwaukie, part 48650

027 2 Portland, part 59000

999 9 Balance of county 99999

027 244 1 Polk 053 5 7080

029 3 Salem, part 64900

999 9 Balance of county 99999

028 000 2 999 9 Sherman 055 6 0000

029 000 2 999 9 Tillamook 057 6 0000

030 000 2 Umatilla 059 4 0000

014 6 Hermiston 33700

Vital Statistics Geographic Code Outline for the United States 222

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

38 Oregon 41

030 Umatilla, con. 059 4 0000

026 6 Pendleton 57150

999 9 Balance of county 99999

031 000 2 Union 061 6 0000

018 6 La Grande 40350

999 9 Balance of county 99999

032 000 2 999 9 Wallowa 063 6 0000

033 000 2 Wasco 065 6 0000

006 6 City of the Dalles 13425

999 9 Balance of county 99999

034 220 1 Washington 067 2 6440

004 4 Beaverton 05350

010 6 Forest Grove 26200

015 5 Hillsboro 34100

019 5 Lake Oswego, part 40550

027 2 Portland, part 59000

031 5 Tigard 73650

032 6 Tualatin, part 74950

999 9 Balance of county 99999

035 000 2 999 9 Wheeler 069 6 0000

036 220 1 Yamhill 071 4 6440

021 6 McMinnville 45000

024 6 Newberg 52100

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 223

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

001 000 2 999 9 Adams 001 4 0000

002 217 1 Allegheny 003 0 6280

006 6 Baldwin borough 03928

010 5 Bethel Park borough 06064

014 6 Brentwood borough 08416

036 6 Franklin Park borough 27552

041 6 Harrison Township 32868

065 5 McCandless Township 45904

066 5 McKeesport 46256

074 5 Mount Lebanon 51704

076 6 Munhall borough 52320

077 5 Municipality of Monroeville borough 52330

088 6 North Versailles 55496

091 4 Penn Hills 59040

094 2 Pittsburgh 61000

095 5 Plum borough 61536

102 5 Ross Township 66356

105 5 Shaler Township 69596

107 6 South Park Township 72403

118 6 Swissvale borough 75816

129 6 Upper St. Clair 79312

137 6 West Mifflin borough 83512

139 6 Whitehall borough 84512

144 6 Wilkinsburg borough 85188

999 9 Balance of county 99999

003 000 2 999 9 Armstrong 005 4 0000

004 217 1 Beaver 007 3 6280

002 6 Aliquippa 00820

007 6 Beaver Falls 04792

999 9 Balance of county 99999

005 000 2 999 9 Bedford 009 5 0000

Vital Statistics Geographic Code Outline for the United States 224

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

006 228 1 Berks 011 2 6680

075 6 Muhlenberg township 52200

100 4 Reading 63624

113 6 Spring township 72824

999 9 Balance of county 99999

007 008 1 Blair 013 3 0280

004 4 Altoona 02184

999 9 Balance of county 99999

008 000 2 999 9 Bradford 015 4 0000

009 214 1 Bucks 017 1 6160

008 4 Bensalem township 05616

015 6 Bristol borough 08760

016 4 Bristol township 08768

035 5 Falls township 25112

059 5 Lower Makefield township 44968

064 6 Lower Southampton township 45112

071 5 Middletown township 49120

084 6 Newtown township 54192

086 5 Northampton township 54688

130 6 Upper Southampton township 79296

132 5 Warminster township 80952

999 9 Balance of county 99999

010 217 1 Butler 019 3 6280

017 6 Butler 10464

999 9 Balance of county 99999

011 141 1 Cambria 021 3 3680

050 5 Johnstown 38288

999 9 Balance of county 99999

012 000 2 999 9 Cameron 023 6 0000

013 007 1 999 9 Carbon 025 4 0240

Vital Statistics Geographic Code Outline for the United States 225

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

014 272 1 Centre 027 3 8050

114 5 State College borough 73808

999 9 Balance of county 99999

015 214 1 Chester 029 2 6160

018 6 Caln township 10824

024 6 Coatesville 14712

028 6 East Goshen township 21192

093 6 Phoenixville borough 60120

120 5 Tredyffrin township 77344

131 6 Uwchlan township 79480

135 6 West Chester borough 82704

136 6 West Goshen township 83080

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 226

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

016 000 2 999 9 Clarion 031 5 0000

017 000 2 999 9 Clearfield 033 4 0000

018 000 2 999 9 Clinton 035 5 0000

019 259 1 Columbia 037 4 7560

009 6 Berwick borough 05888

013 6 Bloomsburg 07128

999 9 Balance of county 99999

020 000 2 Crawford 039 4 0000

069 6 Meadville 48360

999 9 Balance of county 99999

021 121 1 Cumberland 041 3 3240

020 6 Carlisle borough 11272

031 6 East Pennsboro township 21680

038 6 Hampden township 32296

057 6 Lower Allen township 44832

122 6 Upper Allen township 78736

999 9 Balance of county 99999

022 121 1 Dauphin 043 3 3240

040 4 Harrisburg 32800

062 5 Lower Paxton township 45056

116 6 Susquehanna township 75528

117 6 Swatara township 75672

999 9 Balance of county 99999

023 214 1 Delaware 045 1 6160

005 6 Aston township 03336

023 5 Chester 13208

026 6 Darby borough 18152

043 5 Haverford township 33144

055 6 Lansdowne borough 41440

068 6 Marple township 47616

070 6 Middletown township 49136

Vital Statistics Geographic Code Outline for the United States 227

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

080 6 Nether Providence Township 53112

083 6 Newtown township 54224

099 5 Radnor Township 63268

101 5 Ridley township 64800

110 6 Springfield 73040

123 6 Upper Chichester township 78776

124 4 Upper Darby township 79000

146 6 Yeadon borough 86968

999 9 Balance of county 99999

024 000 2 999 9 Elk 047 5 0000

025 087 1 Erie 049 2 2360

034 3 Erie 24000

072 5 Millcreek township 49600

999 9 Balance of county 99999

026 217 1 Fayette 051 3 6280

121 6 Uniontown 78528

999 9 Balance of county 99999

027 000 2 999 9 Forest 053 6 0000

028 000 2 Franklin 055 3 0000

021 6 Chambersburg borough 12536

999 9 Balance of county 99999

029 000 2 999 9 Fulton 057 6 0000

030 000 2 999 9 Greene 059 5 0000

031 000 2 999 9 Huntingdon 061 5 0000

032 000 2 Indiana 063 4 0000

048 6 Indiana borough 36816

999 9 Balance of county 99999

033 000 2 999 9 Jefferson 065 5 0000

034 000 2 999 9 Juniata 067 6 0000

035 259 1 Lackawanna 069 3 7560

019 6 Carbondale 11232

Vital Statistics Geographic Code Outline for the United States 228

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

027 6 Dunmore borough 20352

104 4 Scranton 69000

999 9 Balance of county 99999

036 155 1 Lancaster 071 2 4000

025 6 Columbia borough 15384

033 6 Ephrata borough 23832

052 4 Lancaster 41216

053 6 Lancaster township 41224

067 5 Manheim township 46896

999 9 Balance of county 99999

037 000 2 Lawrence 073 4 0000

081 5 New Castle 53368

Vital Statistics Geographic Code Outline for the United States 229

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

037 Lawrence, con. 073 4 0000

999 9 Balance of county 99999

038 121 1 Lebanon 075 3 3240

056 6 Lebanon 42168

999 9 Balance of county 99999

039 007 1 Lehigh 077 2 0240

003 3 Allentown 02000

011 4 Bethlehem, part 06088

032 6 Emmaus borough 23584

103 6 Salisbury township 67576

108 6 South Whitehall township 72632

140 6 Whitehall township 84528

999 9 Balance of county 99999

040 259 1 Luzerne 079 2 7560

044 6 Hazleton 33408

051 6 Kingston borough 39784

079 6 Nanticoke 52584

143 5 Wilkes-Barre 85152

999 9 Balance of county 99999

041 303 1 Lycoming 081 3 9140

145 5 Williamsport 85312

999 9 Balance of county 99999

042 000 2 999 9 McKean 083 5 0000

043 261 1 Mercer 085 3 7610

046 6 Hermitage 34064

106 6 Sharon 69720

999 9 Balance of county 99999

044 000 2 999 9 Mifflin 087 5 0000

045 000 2 999 9 Monroe 089 4 0000

046 214 1 Montgomery 091 1 6160

001 4 Abington township 00156

Vital Statistics Geographic Code Outline for the United States 230

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

022 5 Cheltenham township 12968

029 6 East Norriton 21608

042 6 Hatfield township 33120

047 6 Horsham township 35808

054 6 Lansdale borough 41432

060 4 Lower Merion township 44976

061 6 Lower Moreland township 45008

063 6 Lower Providence township 45080

073 6 Montgomery township 50640

085 5 Norristown borough 54656

096 6 Plymouth township 61664

097 6 Pottstown borough 62416

111 6 Springfield township 73088

119 6 Towamencin township 77152

125 6 Upper Dublin township 79008

126 6 Upper Gwynedd township 79056

127 5 Upper Merion township 79136

128 5 Upper Moreland township 79176

138 6 West Norriton 83704

141 6 Whitemarsh township 84624

142 6 Whitpain township 84888

999 9 Balance of county 99999

047 000 2 999 9 Montour 093 6 0000

048 007 1 Northampton 095 3 0240

011 4 Bethlehem, part 06088

012 6 Bethlehem township 06096

030 5 Easton 21648

090 6 Palmer township 57672

999 9 Balance of county 99999

049 000 2 Northumberland 097 4 0000

115 6 Sunbury 75304

Vital Statistics Geographic Code Outline for the United States 231

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

999 9 Balance of county 99999

050 121 1 999 9 Perry 099 5 3240

051 214 1 092 0 Philadelphia, coext. with Philadelphia c 101 0 6160 60000

052 199 1 999 9 Pike 103 5 5660

053 000 2 999 9 Potter 105 6 0000

054 000 2 Schuylkill 107 3 0000

098 6 Pottsville 62432

999 9 Balance of county 99999

055 000 2 999 9 Snyder 109 5 0000

056 141 1 999 9 Somerset 111 4 3680

057 000 2 999 9 Sullivan 113 6 0000

058 000 2 999 9 Susquehanna 115 5 0000

Vital Statistics Geographic Code Outline for the United States 232

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

39 Pennsylvania 42

059 000 2 999 9 Tioga 117 5 0000

060 000 2 999 9 Union 119 5 0000

061 000 2 Venango 121 4 0000

089 6 Oil City 56456

999 9 Balance of county 99999

062 000 2 Warren 123 5 0000

133 6 Warren 81000

999 9 Balance of county 99999

063 217 1 Washington 125 3 6280

134 6 Washington 81328

999 9 Balance of county 99999

064 000 2 999 9 Wayne 127 5 0000

065 217 1 Westmoreland 129 2 6280

037 6 Greensburg 31200

045 5 Hempfield township 33792

049 6 Jeannette 37784

058 6 Lower Burrell 44864

078 6 Municipality of Murrysville borough 52332

082 6 New Kensington 53736

087 5 North Huntingdon township 55128

999 9 Balance of county 99999

066 259 1 999 9 Wyoming 131 5 7560

067 308 1 York 133 2 9280

039 6 Hanover borough 32448

109 6 Springettsbury township 72992

112 6 Spring Garden township 73168

147 5 York 87048

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 233

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

40 Rhode Island 44

001 221 1 Bristol 001 5 6483

001 6 Barrington 04960

002 6 Bristol 09460

015 6 Warren town 73760

999 9 Balance of county 99999

002 221 1 Kent 003 3 6483

004 5 Coventry town 18640

016 4 Warwick 74300

999 9 Balance of county 99999

003 000 2 Newport 005 4 0000

009 6 Middletown town 45460

011 5 Newport 49960

999 9 Balance of county 99999

004 221 1 Providence 007 1 6483

003 6 Central Falls 14140

005 4 Cranston 19180

006 5 Cumberland town 20080

007 4 East Providence 22960

008 5 Johnston town 37720

012 5 North Providence 51940

013 4 Pawtucket 54640

014 3 Providence 59000

017 5 Woonsocket 80780

999 9 Balance of county 99999

005 221 1 Washington 009 3 6483

010 6 Narragansett town 48340

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 234

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

41 South Carolina 45

001 000 2 999 9 Abbeville 001 6 0000

002 018 1 Aiken 003 3 0600

001 6 Aiken 00550

022 6 North Augusta, part 50695

999 9 Balance of county 99999

003 000 2 999 9 Allendale 005 6 0000

004 118 1 Anderson 007 3 3160

002 5 Anderson 01360

006 6 Clemson, part 14950

999 9 Balance of county 99999

005 000 2 999 9 Bamberg 009 6 0000

006 000 2 999 9 Barnwell 011 6 0000

007 000 2 Beaufort 013 4 0000

016 6 Hilton Head Island 34045

999 9 Balance of county 99999

008 049 1 Berkeley 015 3 1440

011 6 Goose Creek 29815

015 6 Hanahan 32065

023 4 North Charleston, part 50875

028 6 Summerville, part 70270

999 9 Balance of county 99999

009 000 2 999 9 Calhoun 017 6 0000

010 049 1 Charleston 019 2 1440

005 4 Charleston 13330

019 5 Mount Pleasant 48535

023 4 North Charleston, part 50875

028 6 Summerville, part 70270

999 9 Balance of county 99999

011 118 1 Cherokee 021 5 3160

010 6 Gaffney 28060

Vital Statistics Geographic Code Outline for the United States 235

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

41 South Carolina 45

999 9 Balance of county 99999

012 000 2 999 9 Chester 023 5 0000

013 000 2 999 9 Chesterfield 025 5 0000

014 000 2 999 9 Clarendon 027 5 0000

015 000 2 999 9 Colleton 029 5 0000

016 000 2 999 9 Darlington 031 4 0000

017 000 2 999 9 Dillon 033 5 0000

018 049 1 Dorchester 035 4 1440

023 4 North Charleston, part 50875

028 6 Summerville, part 70270

999 9 Balance of county 99999

019 018 1 Edgefield 037 6 0600

022 6 North Augusta, part 50695

999 9 Balance of county 99999

020 000 2 999 9 Fairfield 039 6 0000

021 095 1 Florence 041 3 2655

009 5 Florence 25810

999 9 Balance of county 99999

022 000 2 999 9 Georgetown 043 5 0000

023 118 1 Greenville 045 2 3160

012 4 Greenville 30850

014 6 Greer, part 30985

018 6 Mauldin 45115

026 6 Simpsonville 66580

999 9 Balance of county 99999

024 000 2 Greenwood 047 4 0000

013 6 Greenwood 30895

999 9 Balance of county 99999

025 000 2 999 9 Hampton 049 6 0000

Vital Statistics Geographic Code Outline for the United States 236

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

41 South Carolina 45

026 190 1 Horry 051 3 5330

020 6 Myrtle Beach 49075

999 9 Balance of county 99999

027 000 2 999 9 Jasper 053 6 0000

028 000 2 999 9 Kershaw 055 5 0000

029 000 2 999 9 Lancaster 057 4 0000

030 000 2 999 9 Laurens 059 4 0000

031 000 2 999 9 Lee 061 6 0000

032 062 1 Lexington 063 3 1760

004 6 Cayce 12655

017 6 Irmo, part 35890

030 6 West Columbia 75850

999 9 Balance of county 99999

033 000 2 999 9 McCormick 065 6 0000

034 000 2 999 9 Marion 067 5 0000

Vital Statistics Geographic Code Outline for the United States 237

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

41 South Carolina 45

035 000 2 Marlboro 069 5 0000

003 6 Bennettsville 05680

999 9 Balance of county 99999

036 000 2 Newberry 071 5 0000

021 6 Newberry 49570

999 9 Balance of county 99999

037 000 2 999 9 Oconee 073 4 0000

038 000 2 Orangeburg 075 4 0000

024 6 Orangeburg 53080

999 9 Balance of county 99999

039 118 1 Pickens 077 4 3160

006 6 Clemson, part 14950

008 6 Easley 21985

999 9 Balance of county 99999

040 062 1 Richland 079 2 1760

007 4 Columbia 16000

017 6 Irmo, part 35890

999 9 Balance of county 99999

041 000 2 999 9 Saluda 081 6 0000

042 118 1 Spartanburg 083 3 3160

014 6 Greer, part 30985

027 5 Spartanburg 68290

999 9 Balance of county 99999

043 275 1 Sumter 085 3 8140

029 5 Sumter 70405

999 9 Balance of county 99999

044 000 2 999 9 Union 087 5 0000

045 000 2 999 9 Williamsburg 089 5 0000

046 051 1 York 091 3 1520

025 5 Rock Hill 61405

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 238

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

42 South Dakota 46

001 000 2 999 9 Aurora 003 6 0000

002 000 2 Beadle 005 6 0000

003 6 Huron 31060

999 9 Balance of county 99999

003 000 2 999 9 Bennett 007 6 0000

004 000 2 999 9 Bon Homme 009 6 0000

005 000 2 Brookings 011 5 0000

002 6 Brookings 07580

999 9 Balance of county 99999

006 000 2 Brown 013 5 0000

001 6 Aberdeen 00100

999 9 Balance of county 99999

007 000 2 999 9 Brule 015 6 0000

008 000 2 999 9 Buffalo 017 6 0000

009 000 2 999 9 Butte 019 6 0000

010 000 2 999 9 Campbell 021 6 0000

011 000 2 999 9 Charles Mix 023 6 0000

012 000 2 999 9 Clark 025 6 0000

013 000 2 Clay 027 6 0000

008 6 Vermillion 66700

999 9 Balance of county 99999

014 000 2 Codington 029 6 0000

009 6 Watertown 69300

999 9 Balance of county 99999

015 000 2 999 9 Corson 031 6 0000

016 000 2 999 9 Custer 033 6 0000

017 000 2 Davison 035 6 0000

004 6 Mitchell 43100

999 9 Balance of county 99999

018 000 2 999 9 Day 037 6 0000

019 000 2 999 9 Deuel 039 6 0000

Vital Statistics Geographic Code Outline for the United States 239

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

42 South Dakota 46

020 000 2 999 9 Dewey 041 6 0000

021 000 2 999 9 Douglas 043 6 0000

022 000 2 999 9 Edmunds 045 6 0000

023 000 2 999 9 Fall River 047 6 0000

024 000 2 999 9 Faulk 049 6 0000

025 000 2 999 9 Grant 051 6 0000

026 000 2 999 9 Gregory 053 6 0000

027 000 2 999 9 Haakon 055 6 0000

028 000 2 999 9 Hamlin 057 6 0000

029 000 2 999 9 Hand 059 6 0000

030 000 2 999 9 Hanson 061 6 0000

031 000 2 999 9 Harding 063 6 0000

032 000 2 Hughes 065 6 0000

005 6 Pierre 49600

999 9 Balance of county 99999

033 000 2 999 9 Hutchinson 067 6 0000

034 000 2 999 9 Hyde 069 6 0000

035 000 2 999 9 Jackson 071 6 0000

036 000 2 999 9 Jerauld 073 6 0000

037 000 2 999 9 Jones 075 6 0000

038 000 2 999 9 Kingsbury 077 6 0000

039 000 2 999 9 Lake 079 6 0000

040 000 2 999 9 Lawrence 081 6 0000

041 266 1 Lincoln 083 6 7760

007 3 Sioux Falls, part 59020

999 9 Balance of county 99999

042 000 2 999 9 Lyman 085 6 0000

043 000 2 999 9 McCook 087 6 0000

044 000 2 999 9 McPherson 089 6 0000

045 000 2 999 9 Marshall 091 6 0000

046 000 2 999 9 Meade 093 6 0000

047 000 2 999 9 Mellette 095 6 0000

Vital Statistics Geographic Code Outline for the United States 240

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

42 South Dakota

048 000 2 999 9 Miner 097 6 0000

049 266 1 Minnehaha 099 3 7760

007 3 Sioux Falls, part 59020

999 9 Balance of county 99999

050 000 2 999 9 Moody 101 6 0000

051 227 1 Pennington 103 4 6660

006 4 Rapid City 52980

999 9 Balance of county 99999

052 000 2 999 9 Perkins 105 6 0000

053 000 2 999 9 Potter 107 6 0000

054 000 2 999 9 Roberts 109 6 0000

Vital Statistics Geographic Code Outline for the United States 241

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

42 South Dakota 46

055 000 2 999 9 Sanborn 111 6 0000

056 000 2 999 9 Shannon 113 6 0000

057 000 2 999 9 Spink 115 6 0000

058 000 2 999 9 Stanley 117 6 0000

059 000 2 999 9 Sully 119 6 0000

060 000 2 999 9 Todd 121 6 0000

061 000 2 999 9 Tripp 123 6 0000

062 000 2 999 9 Turner 125 6 0000

063 000 2 999 9 Union 127 6 0000

064 000 2 999 9 Walworth 129 6 0000

065 000 2 Yankton 135 6 0000

010 6 Yankton 73060

999 9 Balance of county 99999

066 000 2 999 9 Ziebach 137 6 0000

Vital Statistics Geographic Code Outline for the United States 242

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

43 Tennessee 47

001 148 1 Anderson 001 4 3840

035 5 Oak Ridge, part 55120

999 9 Balance of county 99999

002 000 2 Bedford 003 5 0000

037 6 Shelbyville 67760

999 9 Balance of county 99999

003 000 2 999 9 Benton 005 6 0000

004 000 2 999 9 Bledsoe 007 6 0000

005 148 1 Blount 009 4 3840

029 6 Maryville 46380

999 9 Balance of county 99999

006 000 2 Bradley 011 4 0000

008 5 Cleveland 15400

999 9 Balance of county 99999

007 000 2 999 9 Campbell 013 5 0000

008 000 2 999 9 Cannon 015 6 0000

009 000 2 999 9 Carroll 017 5 0000

010 140 1 Carter 019 4 3660

014 6 Elizabethton 23500

023 5 Johnson City, part 38320

999 9 Balance of county 99999

011 192 1 999 9 Cheatham 021 5 5360

012 000 2 999 9 Chester 023 6 0000

013 000 2 999 9 Claiborne 025 5 0000

014 000 2 999 9 Clay 027 6 0000

015 000 2 999 9 Cocke 029 5 0000

016 000 2 Coffee 031 5 0000

040 6 Tullahoma, part 75320

999 9 Balance of county 99999

017 000 2 999 9 Crockett 033 6 0000

Vital Statistics Geographic Code Outline for the United States 243

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

43 Tennessee 47

018 000 2 999 9 Cumberland 035 5 0000

019 192 1 Davidson 037 1 5360

019 6 Goodlettsville, part 29920

034 2 Nashville-Davidson 52010

999 9 Balance of county 99999

020 000 2 999 9 Decatur 039 6 0000

021 000 2 999 9 De Kalb 041 6 0000

022 192 1 999 9 Dickson 043 5 5360

023 000 2 Dyer 045 5 0000

012 6 Dyersburg 22200

999 9 Balance of county 99999

024 178 1 999 9 Fayette 047 5 4920

025 000 2 999 9 Fentress 049 6 0000

026 000 2 Franklin 051 5 0000

040 6 Tullahoma, part 75320

999 9 Balance of county 99999

027 000 2 999 9 Gibson 053 5 0000

028 000 2 999 9 Giles 055 5 0000

029 000 2 999 9 Grainger 057 6 0000

030 000 2 Greene 059 4 0000

020 6 Greeneville 30980

999 9 Balance of county 99999

031 000 2 999 9 Grundy 061 6 0000

032 000 2 Hamblen 063 4 0000

032 6 Morristown 50280

999 9 Balance of county 99999

033 053 1 Hamilton 065 2 1560

006 3 Chattanooga 14000

013 6 East Ridge 22720

036 6 Red Bank 61960

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 244

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

43 Tennessee 47

034 000 2 999 9 Hancock 067 6 0000

035 000 2 999 9 Hardeman 069 6 0000

036 000 2 999 9 Hardin 071 6 0000

037 140 1 Hawkins 073 5 3660

024 5 Kingsport, part 39560

999 9 Balance of county 99999

038 000 2 Haywood 075 6 0000

005 6 Brownsville 08920

999 9 Balance of county 99999

039 000 2 999 9 Henderson 077 6 0000

040 000 2 999 9 Henry 079 5 0000

041 000 2 999 9 Hickman 081 6 0000

042 000 2 999 9 Houston 083 6 0000

Vital Statistics Geographic Code Outline for the United States 245

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

43 Tennessee 47

043 000 2 999 9 Humphreys 085 6 0000

044 000 2 999 9 Jackson 087 6 0000

045 000 2 999 9 Jefferson 089 5 0000

046 000 2 999 9 Johnson 091 6 0000

047 148 1 Knox 093 2 3840

015 6 Farragut, part 25760

025 3 Knoxville 40000

999 9 Balance of county 99999

048 000 2 999 9 Lake 095 6 0000

049 000 2 999 9 Lauderdale 097 6 0000

050 000 2 Lawrence 099 5 0000

026 6 Lawrenceburg 41340

999 9 Balance of county 99999

051 000 2 999 9 Lewis 101 6 0000

052 000 2 999 9 Lincoln 103 5 0000

053 148 1 Loudon 105 5 3840

015 6 Farragut, part 25760

999 9 Balance of county 99999

054 000 2 McMinn 107 5 0000

001 6 Athens 02320

999 9 Balance of county 99999

055 000 2 999 9 McNairy 109 6 0000

056 000 2 999 9 Macon 111 6 0000

057 134 1 Madison 113 4 3580

022 5 Jackson 37640

999 9 Balance of county 99999

058 053 1 999 9 Marion 115 6 1560

059 000 2 999 9 Marshall 117 6 0000

060 000 2 Maury 119 4 0000

010 5 Columbia 16540

Vital Statistics Geographic Code Outline for the United States 246

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

43 Tennessee 47

999 9 Balance of county 99999

061 000 2 999 9 Meigs 121 6 0000

062 000 2 999 9 Monroe 123 5 0000

063 058 1 Montgomery 125 3 1660

007 4 Clarksville 15160

999 9 Balance of county 99999

064 000 2 999 9 Moore 127 6 0000

065 000 2 999 9 Morgan 129 6 0000

066 000 2 Obion 131 5 0000

041 6 Union City 75940

999 9 Balance of county 99999

067 000 2 999 9 Overton 133 6 0000

068 000 2 999 9 Perry 135 6 0000

069 000 2 999 9 Pickett 137 6 0000

070 000 2 999 9 Polk 139 6 0000

071 000 2 Putnam 141 4 0000

011 6 Cookeville 16920

999 9 Balance of county 99999

072 000 2 999 9 Rhea 143 6 0000

073 000 2 Roane 145 5 0000

035 5 Oak Ridge, part 55120

999 9 Balance of county 99999

074 192 1 Robertson 147 5 5360

039 6 Springfield 70500

999 9 Balance of county 99999

075 192 1 Rutherford 149 3 5360

033 5 Murfreesboro 51560

038 6 Smyrna 69420

999 9 Balance of county 99999

076 000 2 999 9 Scott 151 6 0000

077 000 2 999 9 Sequatchie 153 6 0000

Vital Statistics Geographic Code Outline for the United States 247

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

43 Tennessee 47

078 148 1 999 9 Sevier 155 4 3840

079 178 1 Shelby 157 1 4920

002 5 Bartlett 03440

009 6 Collierville 16420

018 5 Germantown 28960

030 1 Memphis 48000

031 6 Millington 49060

999 9 Balance of county 99999

080 000 2 999 9 Smith 159 6 0000

081 000 2 999 9 Stewart 161 6 0000

082 140 1 Sullivan 163 3 3660

004 6 Bristol 08540

023 5 Johnson City, part 38320

Vital Statistics Geographic Code Outline for the United States 248

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

43 Tennessee 47

082 Sullivan, con. 163 3 3660

024 5 Kingsport, part 39560

999 9 Balance of county 99999

083 192 1 Sumner 165 3 5360

017 6 Gallatin 28540

019 6 Goodlettsville, part 29920

021 5 Hendersonville 33280

999 9 Balance of county 99999

084 178 1 999 9 Tipton 167 5 4920

085 000 2 999 9 Trousdale 169 6 0000

086 140 1 999 9 Unicoi 171 6 3660

087 148 1 999 9 Union 173 6 3840

088 000 2 999 9 Van Buren 175 6 0000

089 000 2 Warren 177 5 0000

028 6 McMinnville 45100

999 9 Balance of county 99999

090 140 1 Washington 179 4 3660

023 5 Johnson City, part 38320

999 9 Balance of county 99999

091 000 2 999 9 Wayne 181 6 0000

092 000 2 999 9 Weakley 183 5 0000

093 000 2 999 9 White 185 6 0000

094 192 1 Williamson 187 4 5360

003 6 Brentwood 08280

016 6 Franklin 27740

999 9 Balance of county 99999

095 192 1 Wilson 189 4 5360

027 6 Lebanon 41520

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 249

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

001 000 2 Anderson 001 5 0000

116 6 Palestine 54708

999 9 Balance of county 99999

002 000 2 Andrews 003 6 0000

006 6 Andrews 03216

999 9 Balance of county 99999

003 000 2 Angelina 005 4 0000

098 5 Lufkin 45072

999 9 Balance of county 99999

004 000 2 999 9 Aransas 007 6 0000

005 302 1 Archer 009 6 9080

171 4 Wichita Falls, part 79000

999 9 Balance of county 99999

006 000 2 999 9 Armstrong 011 6 0000

007 000 2 999 9 Atascosa 013 5 0000

008 000 2 999 9 Austin 015 6 0000

009 000 2 999 9 Bailey 017 6 0000

010 000 2 999 9 Bandera 019 6 0000

011 019 1 999 9 Bastrop 021 5 0640

012 000 2 999 9 Baylor 023 6 0000

013 000 2 Bee 025 5 0000

016 6 Beeville 07192

999 9 Balance of county 99999

014 147 1 Bell 027 3 3810

018 6 Belton 07492

071 6 Harker Heights 32312

084 4 Killeen 39148

152 5 Temple 72176

999 9 Balance of county 99999

015 248 1 Bexar 029 0 7240

Vital Statistics Geographic Code Outline for the United States 250

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

095 6 Live Oak 43096

137 1 San Antonio 65000

141 6 Schertz, part 66128

158 6 Universal City 74408

999 9 Balance of county 99999

016 000 2 999 9 Blanco 031 6 0000

017 000 2 999 9 Borden 033 6 0000

018 000 2 999 9 Bosque 035 6 0000

019 281 1 Bowie 037 4 8360

154 5 Texarkana 72368

999 9 Balance of county 99999

020 039 1 Brazoria 039 3 1145

004 6 Alvin 02272

007 6 Angleton 03264

058 6 Freeport 27420

086 6 Lake Jackson 40588

120 6 Pearland, part 56348

999 9 Balance of county 99999

021 042 1 Brazos 041 3 1260

025 4 Bryan 10912

032 4 College Station 15976

999 9 Balance of county 99999

022 000 2 999 9 Brewster 043 6 0000

023 000 2 999 9 Briscoe 045 6 0000

024 000 2 999 9 Brooks 047 6 0000

025 000 2 Brown 049 5 0000

024 6 Brownwood 10780

999 9 Balance of county 99999

026 000 2 999 9 Burleson 051 6 0000

027 000 2 999 9 Burnet 053 6 0000

Vital Statistics Geographic Code Outline for the United States 251

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

028 019 1 Caldwell 055 5 0640

140 5 San Marcos, part 65600

999 9 Balance of county 99999

029 000 2 Calhoun 057 6 0000

127 6 Port Lavaca 58916

999 9 Balance of county 99999

030 000 2 999 9 Callahan 059 6 0000

031 041 1 Cameron 061 2 1240

023 4 Brownsville 10768

072 5 Harlingen 32372

138 6 San Benito 65036

999 9 Balance of county 99999

032 000 2 999 9 Camp 063 6 0000

033 000 2 999 9 Carson 065 6 0000

Vital Statistics Geographic Code Outline for the United States 252

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

034 000 2 999 9 Cass 067 5 0000

035 000 2 999 9 Castro 069 6 0000

036 127 1 Chambers 071 6 3360

013 4 Baytown, part 06128

999 9 Balance of county 99999

037 000 2 Cherokee 073 5 0000

080 6 Jacksonville 37216

999 9 Balance of county 99999

038 000 2 999 9 Childress 075 6 0000

039 000 2 999 9 Clay 077 6 0000

040 000 2 999 9 Cochran 079 6 0000

041 000 2 999 9 Coke 081 6 0000

042 000 2 999 9 Coleman 083 6 0000

043 067 1 Collin 085 2 1920

003 6 Allen 01924

029 4 Carrollton, part 13024

039 0 Dallas, part 19000

063 3 Garland, part 29000

100 6 McKinney 45744

124 3 Plano, part 58016

129 4 Richardson, part 61796

999 9 Balance of county 99999

044 000 2 999 9 Collingsworth 087 6 0000

045 000 2 999 9 Colorado 089 6 0000

046 248 1 Comal 091 4 7240

112 5 New Braunfels, part 50820

141 6 Schertz, part 66128

999 9 Balance of county 99999

047 000 2 999 9 Comanche 093 6 0000

048 000 2 999 9 Concho 095 6 0000

Vital Statistics Geographic Code Outline for the United States 253

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

049 000 2 Cooke 097 5 0000

060 6 Gainesville 27984

999 9 Balance of county 99999

050 147 1 Coryell 099 4 3810

036 6 Copperas Cove, part 16624

064 6 Gatesville 29168

999 9 Balance of county 99999

051 000 2 999 9 Cottle 101 6 0000

052 000 2 999 9 Crane 103 6 0000

053 000 2 999 9 Crockett 105 6 0000

054 000 2 999 9 Crosby 107 6 0000

055 000 2 999 9 Culberson 109 6 0000

056 000 2 999 9 Dallam 111 6 0000

057 067 1 Dallas 113 0 1920

011 6 Balch Springs 05372

029 4 Carrollton, part 13024

030 6 Cedar Hill, part 13492

035 6 Coppell, part 16612

039 0 Dallas, part 19000

044 5 DeSoto 20092

047 5 Duncanville 21628

054 6 Farmers Branch 25452

063 3 Garland, part 29000

066 4 Grand Prairie, part 30464

067 5 Grapevine, part 30644

079 3 Irving 37000

089 6 Lancaster 41212

094 5 Lewisville, part 42508

104 3 Mesquite 47892

129 4 Richardson, part 61796

Vital Statistics Geographic Code Outline for the United States 254

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

135 6 Rowlett, part 63572

159 6 University Park 74492

999 9 Balance of county 99999

058 000 2 Dawson 115 6 0000

088 6 Lamesa 41164

999 9 Balance of county 99999

059 000 2 Deaf Smith 117 6 0000

074 6 Hereford 33320

999 9 Balance of county 99999

060 000 2 999 9 Delta 119 6 0000

061 067 1 Denton 121 2 1920

029 4 Carrollton, part 13024

035 6 Coppell, part 16612

039 0 Dallas, part 19000

Vital Statistics Geographic Code Outline for the United States 255

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

061 Denton, con. 121 2 1920

043 4 Denton 19972

055 6 Flower Mound, part 26232

057 2 Fort Worth, part 27000

067 5 Grapevine, part 30644

094 5 Lewisville, part 42508

124 3 Plano, part 58016

156 6 The Colony 72530

999 9 Balance of county 99999

062 000 2 999 9 De Witt 123 6 0000

063 000 2 999 9 Dickens 125 6 0000

064 000 2 999 9 Dimmit 127 6 0000

065 000 2 999 9 Donley 129 6 0000

066 000 2 999 9 Duval 131 6 0000

067 000 2 999 9 Eastland 133 6 0000

068 203 1 Ector 135 3 5800

114 4 Odessa, part 53388

999 9 Balance of county 99999

069 000 2 999 9 Edwards 137 6 0000

070 067 1 Ellis 139 4 1920

030 6 Cedar Hill, part 13492

052 6 Ennis 24348

066 4 Grand Prairie, part 30464

101 6 Mansfield, part 46452

166 6 Waxahachie 76816

999 9 Balance of county 99999

071 083 1 El Paso 141 1 2320

051 1 El Paso 24000

145 6 Socorro 68636

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 256

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

072 000 2 Erath 143 5 0000

147 6 Stephenville 70208

999 9 Balance of county 99999

073 000 2 999 9 Falls 145 6 0000

074 000 2 999 9 Fannin 147 6 0000

075 000 2 999 9 Fayette 149 6 0000

076 000 2 999 9 Fisher 151 6 0000

077 000 2 999 9 Floyd 153 6 0000

078 000 2 999 9 Foard 155 6 0000

079 127 1 Fort Bend 157 3 3360

075 0 Houston, part 35000

108 5 Missouri City, part 48804

130 6 Richmond 61892

133 6 Rosenberg 63284

148 6 Sugar Land 70808

999 9 Balance of county 99999

080 000 2 999 9 Franklin 159 6 0000

081 000 2 999 9 Freestone 161 6 0000

082 000 2 999 9 Frio 163 6 0000

083 000 2 999 9 Gaines 165 6 0000

084 107 1 Galveston 167 3 2920

059 6 Friendswood, part 27648

062 4 Galveston 28068

087 6 La Marque 41116

092 5 League City, part 41980

155 5 Texas City 72392

999 9 Balance of county 99999

085 000 2 999 9 Garza 169 6 0000

086 000 2 999 9 Gillespie 171 6 0000

087 000 2 999 9 Glasscock 173 6 0000

Vital Statistics Geographic Code Outline for the United States 257

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

088 000 2 999 9 Goliad 175 6 0000

089 000 2 999 9 Gonzales 177 6 0000

090 000 2 Gray 179 6 0000

117 6 Pampa 54912

999 9 Balance of county 99999

091 263 1 Grayson 181 4 7640

042 6 Denison 19900

143 5 Sherman 67496

999 9 Balance of county 99999

092 167 1 Gregg 183 3 4420

083 6 Kilgore, part 39124

096 4 Longview, part 43888

999 9 Balance of county 99999

093 000 2 999 9 Grimes 185 6 0000

Vital Statistics Geographic Code Outline for the United States 258

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

094 248 1 Guadalupe 187 4 7240

112 5 New Braunfels, part 50820

141 6 Schertz, part 66128

142 6 Seguin 66644

999 9 Balance of county 99999

095 000 2 Hale 189 5 0000

123 6 Plainview 57980

999 9 Balance of county 99999

096 000 2 999 9 Hall 191 6 0000

097 000 2 999 9 Hamilton 193 6 0000

098 000 2 999 9 Hansford 195 6 0000

099 000 2 999 9 Hardeman 197 6 0000

100 025 1 999 9 Hardin 199 5 0840

101 127 1 Harris 201 0 3360

013 4 Baytown, part 06128

017 6 Bellaire 07300

040 5 Deer Park 19624

059 6 Friendswood, part 27648

061 6 Galena Park 27996

075 0 Houston, part 35000

076 6 Humble 35348

090 5 La Porte 41440

092 5 League City, part 41980

108 5 Missouri City, part 48804

119 3 Pasadena 56000

120 6 Pearland, part 56348

146 6 South Houston 69020

169 6 West University Place 77956

999 9 Balance of county 99999

102 167 1 Harrison 203 4 4420

Vital Statistics Geographic Code Outline for the United States 259

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

096 4 Longview, part 43888

102 6 Marshall 46776

999 9 Balance of county 99999

103 000 2 999 9 Hartley 205 6 0000

104 000 2 999 9 Haskell 207 6 0000

105 019 1 Hays 209 4 0640

140 5 San Marcos, part 65600

999 9 Balance of county 99999

106 000 2 999 9 Hemphill 211 6 0000

107 067 1 Henderson 213 4 1920

009 6 Athens 04504

999 9 Balance of county 99999

108 175 1 Hidalgo 215 2 4880

045 6 Donna 20884

049 5 Edinburg 22660

099 4 McAllen 45384

103 6 Mercedes 47700

107 5 Mission 48768

122 5 Pharr 57200

139 6 San Juan 65516

168 6 Weslaco 77272

999 9 Balance of county 99999

109 000 2 999 9 Hill 217 5 0000

110 000 2 Hockley 219 6 0000

093 6 Levelland 42448

999 9 Balance of county 99999

111 103 1 999 9 Hood 221 5 2800

112 000 2 Hopkins 223 5 0000

149 6 Sulphur Springs 70904

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 260

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

113 000 2 999 9 Houston 225 6 0000

114 000 2 Howard 227 5 0000

020 6 Big Spring 08236

999 9 Balance of county 99999

115 000 2 999 9 Hudspeth 229 6 0000

116 067 1 Hunt 231 4 1920

068 6 Greenville 30920

999 9 Balance of county 99999

117 000 2 Hutchinson 233 5 0000

021 6 Borger 09556

999 9 Balance of county 99999

118 000 2 999 9 Irion 235 6 0000

119 000 2 999 9 Jack 237 6 0000

120 000 2 999 9 Jackson 239 6 0000

Vital Statistics Geographic Code Outline for the United States 261

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

121 000 2 999 9 Jasper 241 5 0000

122 000 2 999 9 Jeff Davis 243 6 0000

123 025 1 Jefferson 245 3 0840

014 3 Beaumont 07000

069 6 Groves 31328

111 6 Nederland 50580

125 4 Port Arthur 58820

128 6 Port Neches 58940

999 9 Balance of county 99999

124 000 2 999 9 Jim Hogg 247 6 0000

125 000 2 Jim Wells 249 5 0000

002 6 Alice 01852

999 9 Balance of county 99999

126 103 1 Johnson 251 4 2800

027 6 Burleson, part 11428

031 6 Cleburne 15364

101 6 Mansfield, part 46452

999 9 Balance of county 99999

127 000 2 Jones 253 6 0000

001 3 Abilene, part 01000

999 9 Balance of county 99999

128 000 2 999 9 Karnes 255 6 0000

129 067 1 Kaufman 257 4 1920

039 0 Dallas, part 19000

153 6 Terrell 72284

999 9 Balance of county 99999

130 000 2 999 9 Kendall 259 6 0000

131 000 2 999 9 Kenedy 261 6 0000

132 000 2 999 9 Kent 263 6 0000

133 000 2 Kerr 265 5 0000

Vital Statistics Geographic Code Outline for the United States 262

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

082 6 Kerrville 39040

999 9 Balance of county 99999

134 000 2 999 9 Kimble 267 6 0000

135 000 2 999 9 King 269 6 0000

136 000 2 999 9 Kinney 271 6 0000

137 000 2 Kleberg 273 5 0000

037 2 Corpus Christi, part 17000

085 5 Kingsville 39352

999 9 Balance of county 99999

138 000 2 999 9 Knox 275 6 0000

139 000 2 Lamar 277 5 0000

118 6 Paris 55080

999 9 Balance of county 99999

140 000 2 999 9 Lamb 279 6 0000

141 000 2 Lampasas 281 6 0000

036 6 Copperas Cove, part 16624

999 9 Balance of county 99999

142 000 2 999 9 La Salle 283 6 0000

143 000 2 999 9 Lavaca 285 6 0000

144 000 2 999 9 Lee 287 6 0000

145 000 2 999 9 Leon 289 6 0000

146 127 1 999 9 Liberty 291 4 3360

147 000 2 999 9 Limestone 293 6 0000

148 000 2 999 9 Lipscomb 295 6 0000

149 000 2 999 9 Live Oak 297 6 0000

150 000 2 999 9 Llano 299 6 0000

151 000 2 999 9 Loving 301 6 0000

152 170 1 Lubbock 303 3 4600

097 3 Lubbock 45000

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 263

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

153 000 2 999 9 Lynn 305 6 0000

154 000 2 999 9 McCulloch 307 6 0000

155 295 1 McLennan 309 3 8800

164 3 Waco 76000

999 9 Balance of county 99999

156 000 2 999 9 McMullen 311 6 0000

157 000 2 999 9 Madison 313 6 0000

158 000 2 999 9 Marion 315 6 0000

159 000 2 Martin 317 6 0000

105 4 Midland, part 48072

999 9 Balance of county 99999

160 000 2 999 9 Mason 319 6 0000

161 000 2 Matagorda 321 5 0000

012 6 Bay City 05984

Vital Statistics Geographic Code Outline for the United States 264

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

161 Matagorda, con. 321 5 0000

999 9 Balance of county 99999

162 000 2 Maverick 323 5 0000

048 6 Eagle Pass 21892

999 9 Balance of county 99999

163 000 2 999 9 Medina 325 5 0000

164 000 2 999 9 Menard 327 6 0000

165 203 1 Midland 329 3 5800

105 4 Midland, part 48072

114 4 Odessa, part 53388

999 9 Balance of county 99999

166 000 2 999 9 Milam 331 6 0000

167 000 2 999 9 Mills 333 6 0000

168 000 2 999 9 Mitchell 335 6 0000

169 000 2 999 9 Montague 337 6 0000

170 127 1 Montgomery 339 3 3360

034 5 Conroe 16432

075 0 Houston, part 35000

999 9 Balance of county 99999

171 000 2 Moore 341 6 0000

046 6 Dumas 21556

999 9 Balance of county 99999

172 000 2 999 9 Morris 343 6 0000

173 000 2 999 9 Motley 345 6 0000

174 000 2 Nacogdoches 347 4 0000

110 5 Nacogdoches 50256

999 9 Balance of county 99999

175 000 2 Navarro 349 5 0000

038 6 Corsicana 17060

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 265

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

176 000 2 999 9 Newton 351 6 0000

177 000 2 Nolan 353 6 0000

150 6 Sweetwater 71540

999 9 Balance of county 99999

178 065 1 Nueces 355 2 1880

037 2 Corpus Christi, part 17000

126 6 Portland, part 58904

131 6 Robstown 62600

999 9 Balance of county 99999

179 000 2 999 9 Ochiltree 357 6 0000

180 000 2 999 9 Oldham 359 6 0000

181 025 1 Orange 361 4 0840

115 6 Orange 54132

163 6 Vidor 75476

999 9 Balance of county 99999

182 000 2 Palo Pinto 363 5 0000

106 6 Mineral Wells, part 48684

999 9 Balance of county 99999

183 000 2 999 9 Panola 365 6 0000

184 103 1 Parker 367 4 2800

106 6 Mineral Wells, part 48684

167 6 Weatherford 76864

999 9 Balance of county 99999

185 000 2 999 9 Parmer 369 6 0000

186 000 2 999 9 Pecos 371 6 0000

187 000 2 999 9 Polk 373 5 0000

188 009 1 Potter 375 4 0320

005 3 Amarillo, part 03000

999 9 Balance of county 99999

189 000 2 999 9 Presidio 377 6 0000

190 000 2 999 9 Rains 379 6 0000

Vital Statistics Geographic Code Outline for the United States 266

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

191 009 1 Randall 381 4 0320

005 3 Amarillo, part 03000

028 6 Canyon 12532

999 9 Balance of county 99999

192 000 2 999 9 Reagan 383 6 0000

193 000 2 999 9 Real 385 6 0000

194 000 2 999 9 Red River 387 6 0000

195 000 2 Reeves 389 6 0000

121 6 Pecos 56516

999 9 Balance of county 99999

196 000 2 999 9 Refugio 391 6 0000

197 000 2 999 9 Roberts 393 6 0000

198 000 2 999 9 Robertson 395 6 0000

Vital Statistics Geographic Code Outline for the United States 267

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

199 067 1 Rockwall 397 5 1920

039 0 Dallas, part 19000

063 3 Garland, part 29000

132 6 Rockwall 62828

135 6 Rowlett, part 63572

999 9 Balance of county 99999

200 000 2 999 9 Runnels 399 6 0000

201 000 2 Rusk 401 5 0000

073 6 Henderson 33212

083 6 Kilgore, part 39124

999 9 Balance of county 99999

202 000 2 999 9 Sabine 403 6 0000

203 000 2 999 9 San Augustine 405 6 0000

204 000 2 999 9 San Jacinto 407 6 0000

205 065 1 San Patricio 409 4 1880

037 2 Corpus Christi, part 17000

126 6 Portland, part 58904

999 9 Balance of county 99999

206 000 2 999 9 San Saba 411 6 0000

207 000 2 999 9 Schleicher 413 6 0000

208 000 2 Scurry 415 6 0000

144 6 Snyder 68624

999 9 Balance of county 99999

209 000 2 999 9 Shackelford 417 6 0000

210 000 2 999 9 Shelby 419 6 0000

211 000 2 999 9 Sherman 421 6 0000

212 288 1 Smith 423 3 8640

157 4 Tyler 74144

999 9 Balance of county 99999

213 000 2 999 9 Somervell 425 6 0000

Vital Statistics Geographic Code Outline for the United States 268

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

214 000 2 999 9 Starr 427 5 0000

215 000 2 999 9 Stephens 429 6 0000

216 000 2 999 9 Sterling 431 6 0000

217 000 2 999 9 Stonewall 433 6 0000

218 000 2 999 9 Sutton 435 6 0000

219 000 2 999 9 Swisher 437 6 0000

220 103 1 Tarrant 439 0 2800

008 2 Arlington 04000

015 5 Bedford 07132

019 6 Benbrook 07552

027 6 Burleson, part 11428

033 6 Colleyville 15988

053 5 Euless 24768

055 6 Flower Mound, part 26232

056 6 Forest Hill 26544

057 2 Fort Worth, part 27000

066 4 Grand Prairie, part 30464

067 5 Grapevine, part 30644

070 5 Haltom City 31928

078 5 Hurst 35576

081 6 Keller 38632

101 6 Mansfield, part 46452

113 5 North Richland Hills 52356

165 6 Watauga 76672

170 6 White Settlement 78544

999 9 Balance of county 99999

221 001 1 Taylor 441 3 0040

001 3 Abilene, part 01000

999 9 Balance of county 99999

222 000 2 999 9 Terrell 443 6 0000

223 000 2 999 9 Terry 445 6 0000

Vital Statistics Geographic Code Outline for the United States 269

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

224 000 2 999 9 Throckmorton 447 6 0000

225 000 2 Titus 449 6 0000

109 6 Mount Pleasant 49800

999 9 Balance of county 99999

226 247 1 Tom Green 451 4 7200

136 4 San Angelo 64472

999 9 Balance of county 99999

227 019 1 Travis 453 1 0640

010 2 Austin, part 05000

134 5 Round Rock, part 63500

999 9 Balance of county 99999

228 000 2 999 9 Trinity 455 6 0000

229 000 2 999 9 Tyler 457 6 0000

Vital Statistics Geographic Code Outline for the United States 270

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

230 167 1 999 9 Upshur 459 5 4420

231 000 2 999 9 Upton 461 6 0000

232 000 2 Uvalde 463 6 0000

160 6 Uvalde 74588

999 9 Balance of county 99999

233 000 2 Val Verde 465 5 0000

041 5 Del Rio 19792

999 9 Balance of county 99999

234 000 2 999 9 Van Zandt 467 5 0000

235 292 1 Victoria 469 4 8750

162 4 Victoria 75428

999 9 Balance of county 99999

236 000 2 Walker 471 4 0000

077 5 Huntsville 35528

999 9 Balance of county 99999

237 127 1 999 9 Waller 473 6 3360

238 000 2 999 9 Ward 475 6 0000

239 000 2 Washington 477 5 0000

022 6 Brenham 10156

999 9 Balance of county 99999

240 157 1 Webb 479 3 4080

091 3 Laredo 41464

999 9 Balance of county 99999

241 000 2 Wharton 481 5 0000

050 6 El Campo 22864

999 9 Balance of county 99999

242 000 2 999 9 Wheeler 483 6 0000

243 302 1 Wichita 485 3 9080

026 6 Burkburnett 11368

171 4 Wichita Falls, part 79000

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 271

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

44 Texas 48

244 000 2 Wilbarger 487 6 0000

161 6 Vernon 75308

999 9 Balance of county 99999

245 000 2 999 9 Willacy 489 6 0000

246 019 1 Williamson 491 3 0640

010 2 Austin, part 05000

065 6 Georgetown 29336

134 5 Round Rock, part 63500

151 6 Taylor 71948

999 9 Balance of county 99999

247 248 1 999 9 Wilson 493 6 7240

248 000 2 999 9 Winkler 495 6 0000

249 000 2 999 9 Wise 497 5 0000

250 000 2 999 9 Wood 499 5 0000

251 000 2 999 9 Yoakum 501 6 0000

252 000 2 999 9 Young 503 6 0000

253 000 2 999 9 Zapata 505 6 0000

254 000 2 999 9 Zavala 507 6 0000

Vital Statistics Geographic Code Outline for the United States 272

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

45 Utah 49

001 000 2 999 9 Beaver 001 6 0000

002 000 2 Box Elder 003 5 0000

003 6 Brigham City 08460

999 9 Balance of county 99999

003 000 2 Cache 005 4 0000

009 5 Logan 45860

999 9 Balance of county 99999

004 000 2 999 9 Carbon 007 6 0000

005 000 2 999 9 Daggett 009 6 0000

006 246 1 Davis 011 3 7160

002 5 Bountiful 07690

005 6 Centerville 11980

006 6 Clearfield 13850

007 6 Kaysville 40360

008 5 Layton 43660

999 9 Balance of county 99999

007 000 2 999 9 Duchesne 013 6 0000

008 000 2 999 9 Emery 015 6 0000

009 000 2 999 9 Garfield 017 6 0000

010 000 2 999 9 Grand 019 6 0000

011 000 2 Iron 021 6 0000

004 6 Cedar City 11320

999 9 Balance of county 99999

012 000 2 999 9 Juab 023 6 0000

013 000 2 999 9 Kane 025 6 0000

014 000 2 999 9 Millard 027 6 0000

015 000 2 999 9 Morgan 029 6 0000

016 000 2 999 9 Piute 031 6 0000

017 000 2 999 9 Rich 033 6 0000

018 246 1 Salt Lake 035 1 7160

Vital Statistics Geographic Code Outline for the United States 273

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

45 Utah 49

010 6 Midvale 49710

011 5 Murray 53230

017 6 Riverton 64340

020 3 Salt Lake City 67000

021 4 Sandy 67550

022 6 South Jordan 70850

024 6 South Salt Lake 71070

028 5 West Jordan 82950

029 4 West Valley City 83445

999 9 Balance of county 99999

019 000 2 999 9 San Juan 037 6 0000

020 000 2 999 9 Sanpete 039 6 0000

021 000 2 999 9 Sevier 041 6 0000

022 000 2 999 9 Summit 043 6 0000

023 000 2 Tooele 045 5 0000

027 6 Tooele 76680

999 9 Balance of county 99999

024 000 2 999 9 Uintah 047 6 0000

025 222 1 Utah 049 2 6520

001 6 American Fork 01310

014 4 Orem 57300

015 6 Pleasant Grove 60930

016 4 Provo 62470

025 6 Spanish Fork 71290

026 6 Springville 72280

999 9 Balance of county 99999

026 000 2 999 9 Wasatch 051 6 0000

027 000 2 Washington 053 5 0000

019 5 St. George 65330

999 9 Balance of county 99999

028 000 2 999 9 Wayne 055 6 0000

Vital Statistics Geographic Code Outline for the United States 274

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

45 Utah 49

029 246 1 Weber 057 3 7160

012 6 North Ogden 55100

013 4 Ogden 55980

018 6 Roy 65110

023 6 South Ogden 70960

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 275

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

46 Vermont 50

001 000 2 999 9 Addison 001 5 0000

002 000 2 999 9 Bennington 003 5 0000

003 000 2 999 9 Caledonia 005 5 0000

004 044 1 Chittenden 007 3 1303

001 5 Burlington 10675

003 6 South Burlington 66175

999 9 Balance of county 99999

005 000 2 999 9 Essex 009 6 0000

006 044 1 999 9 Franklin 011 5 1303

007 044 1 999 9 Grand Isle 013 6 1303

008 000 2 999 9 Lamoille 015 6 0000

009 000 2 999 9 Orange 017 5 0000

010 000 2 999 9 Orleans 019 6 0000

011 000 2 Rutland 021 4 0000

002 6 Rutland 61225

999 9 Balance of county 99999

012 000 2 999 9 Washington 023 4 0000

013 000 2 999 9 Windham 025 5 0000

014 000 2 999 9 Windsor 027 4 0000

Vital Statistics Geographic Code Outline for the United States 276

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

47 Virginia 51

001 000 2 999 9 Accomack 001 5 0000

002 052 1 999 9 Albemarle 003 4 1540

003 296 1 001 3 Alexandria city 510 3 8840 01000

004 000 2 999 9 Alleghany 005 6 0000

005 000 2 999 9 Amelia 007 6 0000

006 171 1 999 9 Amherst 009 5 4640

007 000 2 999 9 Appomattox 011 6 0000

008 296 1 002 3 Arlington 013 3 8840 03000

009 000 2 999 9 Augusta 015 4 0000

010 000 2 999 9 Bath 017 6 0000

011 171 1 999 9 Bedford 019 5 4640

012 171 1 999 9 Bedford city 515 6 4640 99999

013 000 2 999 9 Bland 021 6 0000

014 234 1 999 9 Botetourt 023 6 6800

015 140 1 004 6 Bristol city 520 6 3660 09816

016 000 2 999 9 Brunswick 025 6 0000

017 000 2 999 9 Buchanan 027 5 0000

018 000 2 999 9 Buckingham 029 6 0000

019 000 2 999 9 Buena Vista city 530 6 0000 99999

020 171 1 999 9 Campbell 031 5 4640

021 000 2 999 9 Caroline 033 6 0000

022 000 2 999 9 Carroll 035 5 0000

023 232 1 999 9 Charles City 036 6 6760

024 000 2 999 9 Charlotte 037 6 0000

025 052 1 005 5 Charlottesville city 540 5 1540 14968

026 200 1 006 3 Chesapeake city 550 3 5720 16000

027 232 1 999 9 Chesterfield 041 3 6760

028 296 1 999 9 Clarke 043 6 8840

029 000 2 999 9 Clifton Forge city 560 6 0000 99999

030 232 1 008 6 Colonial Heights city 570 6 6760 18448

Vital Statistics Geographic Code Outline for the United States 277

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

47 Virginia 51

031 000 2 999 9 Covington city 580 6 0000 99999

032 000 2 999 9 Craig 045 6 0000

033 296 1 999 9 Culpeper 047 5 8840

034 000 2 999 9 Cumberland 049 6 0000

035 068 1 009 4 Danville city 590 4 1950 21344

036 000 2 999 9 Dickenson 051 6 0000

037 232 1 999 9 Dinwiddie 053 6 6760

038 000 2 999 9 Emporia city 595 6 0000 99999

039 000 2 999 9 Essex 057 6 0000

040 296 1 Fairfax 059 1 8840

015 6 Herndon 36648

032 6 Vienna 81072

999 9 Balance of county 99999

041 296 1 010 6 Fairfax city 600 6 8840 26496

042 296 1 999 9 Falls Church city 610 6 8840 99999

043 296 1 999 9 Fauquier 061 5 8840

044 000 2 999 9 Floyd 063 6 0000

045 052 1 999 9 Fluvanna 065 6 1540

046 000 2 999 9 Franklin 067 5 0000

047 000 2 999 9 Franklin city 620 6 0000 99999

048 000 2 999 9 Frederick 069 5 0000

049 296 1 011 6 Fredericksburg city 630 6 8840 29744

050 000 2 999 9 Galax city 640 6 0000 99999

051 000 2 999 9 Giles 071 6 0000

052 200 1 999 9 Gloucester 073 5 5720

053 232 1 999 9 Goochland 075 6 6760

054 000 2 999 9 Grayson 077 6 0000

055 052 1 999 9 Greene 079 6 1540

056 000 2 999 9 Greensville 081 6 0000

057 000 2 999 9 Halifax 083 5 0000

Vital Statistics Geographic Code Outline for the United States 278

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

47 Virginia 51

057 000 2 999 9 South Boston city 083 5 0000 99999

058 200 1 013 3 Hampton city 650 3 5720 35000

059 232 1 999 9 Hanover 085 4 6760

060 000 2 014 5 Harrisonburg city 660 5 0000 35624

061 232 1 999 9 Henrico 087 3 6760

062 000 2 999 9 Henry 089 4 0000

063 000 2 999 9 Highland 091 6 0000

064 232 1 016 6 Hopewell city 670 6 6760 38424

065 200 1 999 9 Isle of Wight 093 5 5720

066 200 1 999 9 James City 095 5 5720

067 000 2 999 9 King and Queen 097 6 0000

068 296 1 999 9 King George 099 6 8840

069 000 2 999 9 King William 101 6 0000

070 000 2 999 9 Lancaster 103 6 0000

Vital Statistics Geographic Code Outline for the United States 279

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

47 Virginia 51

071 000 2 999 9 Lee 105 6 0000

072 000 2 999 9 Lexington city 678 6 0000 99999

073 296 1 Loudoun 107 4 8840

017 6 Leesburg 44984

999 9 Balance of county 99999

074 000 2 999 9 Louisa 109 6 0000

075 000 2 999 9 Lunenburg 111 6 0000

076 171 1 018 4 Lynchburg city 680 4 4640 47672

077 000 2 999 9 Madison 113 6 0000

078 296 1 019 5 Manassas city 683 5 8840 48952

079 296 1 999 9 Manassas Park city 685 6 8840 99999

080 000 2 020 6 Martinsville city 690 6 0000 49784

081 200 1 999 9 Mathews 115 6 5720

082 000 2 999 9 Mecklenburg 117 5 0000

083 000 2 999 9 Middlesex 119 6 0000

084 000 2 Montgomery 121 4 0000

003 5 Blacksburg 07784

007 6 Christiansburg 16608

999 9 Balance of county 99999

085 000 2 999 9 Nelson 125 6 0000

086 232 1 999 9 New Kent 127 6 6760

087 200 1 021 3 Newport News city 700 3 5720 56000

088 200 1 022 2 Norfolk city 710 2 5720 57000

089 000 2 999 9 Northampton 131 6 0000

090 000 2 999 9 Northumberland 133 6 0000

091 000 2 999 9 Norton city 720 6 0000 99999

092 000 2 999 9 Nottoway 135 6 0000

093 000 2 999 9 Orange 137 6 0000

094 000 2 999 9 Page 139 6 0000

095 000 2 999 9 Patrick 141 6 0000

Vital Statistics Geographic Code Outline for the United States 280

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

47 Virginia 51

096 232 1 023 5 Petersburg city 730 5 6760 61832

097 068 1 999 9 Pittsylvania 143 4 1950

098 200 1 024 6 Poquoson city 735 6 5720 63768

099 200 1 025 3 Portsmouth city 740 3 5720 64000

100 232 1 999 9 Powhatan 145 6 6760

101 000 2 999 9 Prince Edward 147 6 0000

102 232 1 999 9 Prince George 149 5 6760

103 296 1 999 9 Prince William 153 3 8840

104 000 2 999 9 Pulaski 155 5 0000

105 000 2 026 6 Radford city 750 6 0000 65392

106 000 2 999 9 Rappahannock 157 6 0000

107 000 2 999 9 Richmond 159 6 0000

108 232 1 027 3 Richmond city 760 3 6760 67000

109 234 1 999 9 Roanoke 161 4 6800

110 234 1 028 4 Roanoke city 770 4 6800 68000

111 000 2 999 9 Rockbridge 163 6 0000

112 000 2 999 9 Rockingham 165 4 0000

113 000 2 999 9 Russell 167 5 0000

114 234 1 029 6 Salem city 775 6 6800 70000

115 140 1 999 9 Scott 169 6 3660

116 000 2 999 9 Shenandoah 171 5 0000

117 000 2 999 9 Smyth 173 5 0000

118 000 2 999 9 Southampton 175 6 0000

120 296 1 999 9 Spotsylvania 177 4 8840

121 296 1 999 9 Stafford 179 4 8840

122 000 2 030 6 Staunton city 790 6 0000 75216

123 200 1 031 4 Suffolk city 800 4 5720 76432

124 000 2 999 9 Surry 181 6 0000

125 000 2 999 9 Sussex 183 6 0000

126 000 2 999 9 Tazewell 185 5 0000

Vital Statistics Geographic Code Outline for the United States 281

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

47 Virginia 51

127 200 1 033 2 Virginia Beach city 810 2 5720 82000

128 296 1 Warren 187 5 8840

012 6 Front Royal 29968

999 9 Balance of county 99999

129 140 1 999 9 Washington 191 5 3660

130 000 2 034 6 Waynesboro city 820 6 0000 83680

131 000 2 999 9 Westmoreland 193 6 0000

132 200 1 035 6 Williamsburg city 830 6 5720 86160

133 000 2 036 6 Winchester city 840 6 0000 86720

134 000 2 999 9 Wise 195 5 0000

135 000 2 999 9 Wythe 197 5 0000

136 200 1 999 9 York 199 5 5720

Vital Statistics Geographic Code Outline for the United States 282

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

48 Washington 53

001 000 2 999 9 Adams 001 6 0000

002 000 2 999 9 Asotin 003 6 0000

003 231 1 Benton 005 3 6740

014 5 Kennewick 35275

033 5 Richland 58235

999 9 Balance of county 99999

004 000 2 Chelan 007 4 0000

041 6 Wenatchee 77105

999 9 Balance of county 99999

005 000 2 Clallam 009 4 0000

028 6 Port Angeles 55365

999 9 Balance of county 99999

006 220 1 Clark 011 3 6440

039 5 Vancouver 74060

999 9 Balance of county 99999

007 000 2 999 9 Columbia 013 6 0000

008 000 2 Cowlitz 015 4 0000

013 6 Kelso 35065

018 5 Longview 40245

999 9 Balance of county 99999

009 000 2 999 9 Douglas 017 5 0000

010 000 2 999 9 Ferry 019 6 0000

011 231 1 Franklin 021 5 6740

027 6 Pasco 53545

999 9 Balance of county 99999

012 000 2 999 9 Garfield 023 6 0000

013 000 2 Grant 025 4 0000

022 6 Moses Lake 47245

999 9 Balance of county 99999

014 000 2 Grays Harbor 027 4 0000

001 6 Aberdeen 00100

Vital Statistics Geographic Code Outline for the United States 283

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

48 Washington 53

999 9 Balance of county 99999

015 260 1 Island 029 4 7600

025 6 Oak Harbor 50360

999 9 Balance of county 99999

016 000 2 999 9 Jefferson 031 6 0000

017 260 1 King 033 0 7600

003 5 Auburn 03180

004 4 Bellevue 05210

006 6 Bothell, part 07380

009 6 Des Moines 17635

015 5 Kent 35415

016 5 Kirkland 35940

021 6 Mercer Island 45005

031 5 Redmond 57535

032 5 Renton 57745

034 1 Seattle 63000

038 6 Tukwila 72625

999 9 Balance of county 99999

018 040 1 Kitsap 035 3 1150

007 5 Bremerton 07695

999 9 Balance of county 99999

019 000 2 Kittitas 037 5 0000

011 6 Ellensburg 21240

999 9 Balance of county 99999

020 000 2 999 9 Klickitat 039 6 0000

021 000 2 Lewis 041 4 0000

008 6 Centralia 11160

999 9 Balance of county 99999

022 000 2 999 9 Lincoln 043 6 0000

023 000 2 999 9 Mason 045 5 0000

024 000 2 999 9 Okanogan 047 5 0000

025 000 2 999 9 Pacific 049 6 0000

Vital Statistics Geographic Code Outline for the United States 284

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

48 Washington 53

026 000 2 999 9 Pend Oreille 051 6 0000

027 277 1 Pierce 053 1 8200

030 6 Puyallup 56695

037 3 Tacoma 70000

999 9 Balance of county 99999

028 000 2 999 9 San Juan 055 6 0000

029 000 2 Skagit 057 4 0000

002 6 Anacortes 01990

024 6 Mount Vernon 47560

999 9 Balance of county 99999

030 000 2 999 9 Skamania 059 6 0000

Vital Statistics Geographic Code Outline for the United States 285

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

48 Washington 53

031 260 1 Snohomish 061 2 7600

006 6 Bothell, part 07380

010 5 Edmonds 20750

012 4 Everett 22640

019 5 Lynnwood 40840

020 6 Marysville 43955

023 6 Mountlake Terrace 47490

999 9 Balance of county 99999

032 268 1 Spokane 063 2 7840

035 3 Spokane 67000

999 9 Balance of county 99999

033 000 2 999 9 Stevens 065 5 0000

034 205 1 Thurston 067 3 5910

017 6 Lacey 36745

026 5 Olympia 51300

999 9 Balance of county 99999

035 000 2 999 9 Wahkiakum 069 6 0000

036 000 2 Walla Walla 071 5 0000

040 5 Walla Walla 75775

999 9 Balance of county 99999

037 026 1 Whatcom 073 3 0860

005 4 Bellingham 05280

999 9 Balance of county 99999

038 000 2 Whitman 075 5 0000

029 6 Pullman 56625

999 9 Balance of county 99999

039 306 1 Yakima 077 3 9260

036 6 Sunnyside 68750

042 4 Yakima 80010

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 286

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

49 West Virginia 54

001 000 2 999 9 Barbour 001 6 0000

002 296 1 Berkeley 003 4 8840

007 6 Martinsburg 52060

999 9 Balance of county 99999

003 000 2 999 9 Boone 005 5 0000

004 000 2 999 9 Braxton 007 6 0000

005 273 1 Brooke 009 5 8080

014 6 Weirton, part 85156

999 9 Balance of county 99999

006 128 1 Cabell 011 4 3400

006 4 Huntington, part 39460

999 9 Balance of county 99999

007 000 2 999 9 Calhoun 013 6 0000

008 000 2 999 9 Clay 015 6 0000

009 000 2 999 9 Doddridge 017 6 0000

010 000 2 999 9 Fayette 019 5 0000

011 000 2 999 9 Gilmer 021 6 0000

012 000 2 999 9 Grant 023 6 0000

013 000 2 999 9 Greenbrier 025 5 0000

014 000 2 999 9 Hampshire 027 6 0000

015 273 1 Hancock 029 5 8080

014 6 Weirton, part 85156

999 9 Balance of county 99999

016 000 2 999 9 Hardy 031 6 0000

017 000 2 Harrison 033 4 0000

004 6 Clarksburg 15628

999 9 Balance of county 99999

018 000 2 999 9 Jackson 035 5 0000

019 296 1 999 9 Jefferson 037 5 8840

020 050 1 Kanawha 039 3 1480

Vital Statistics Geographic Code Outline for the United States 287

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

49 West Virginia 54

003 4 Charleston 14600

011 6 St. Albans 71212

012 6 South Charleston 75292

999 9 Balance of county 99999

021 000 2 999 9 Lewis 041 6 0000

022 000 2 999 9 Lincoln 043 6 0000

023 000 2 999 9 Logan 045 5 0000

024 000 2 999 9 McDowell 047 5 0000

025 000 2 Marion 049 4 0000

005 6 Fairmont 26452

999 9 Balance of county 99999

026 300 1 Marshall 051 5 9000

009 6 Moundsville 56020

015 5 Wheeling, part 86452

999 9 Balance of county 99999

027 000 2 999 9 Mason 053 5 0000

028 000 2 Mercer 055 4 0000

002 6 Bluefield 08524

999 9 Balance of county 99999

029 066 1 999 9 Mineral 057 5 1900

030 000 2 999 9 Mingo 059 5 0000

031 000 2 Monongalia 061 4 0000

008 5 Morgantown 55756

999 9 Balance of county 99999

032 000 2 999 9 Monroe 063 6 0000

033 000 2 999 9 Morgan 065 6 0000

034 000 2 999 9 Nicholas 067 5 0000

035 300 1 Ohio 069 4 9000

015 5 Wheeling, part 86452

999 9 Balance of county 99999

036 000 2 999 9 Pendleton 071 6 0000

Vital Statistics Geographic Code Outline for the United States 288

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

49 West Virginia 54

037 000 2 999 9 Pleasants 073 6 0000

038 000 2 999 9 Pocahontas 075 6 0000

039 000 2 999 9 Preston 077 5 0000

040 050 1 999 9 Putnam 079 5 1480

041 000 2 Raleigh 081 4 0000

001 6 Beckley 05332

999 9 Balance of county 99999

042 000 2 999 9 Randolph 083 5 0000

043 000 2 999 9 Ritchie 085 6 0000

044 000 2 999 9 Roane 087 6 0000

045 000 2 999 9 Summers 089 6 0000

046 000 2 999 9 Taylor 091 6 0000

047 000 2 999 9 Tucker 093 6 0000

Vital Statistics Geographic Code Outline for the United States 289

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

49 West Virginia 54

048 000 2 999 9 Tyler 095 6 0000

049 000 2 999 9 Upshur 097 6 0000

050 128 1 Wayne 099 5 3400

006 4 Huntington, part 39460

999 9 Balance of county 99999

051 000 2 999 9 Webster 101 6 0000

052 000 2 999 9 Wetzel 103 6 0000

053 000 2 999 9 Wirt 105 6 0000

054 211 1 Wood 107 4 6020

010 5 Parkersburg 62140

013 6 Vienna 83500

999 9 Balance of county 99999

055 000 2 999 9 Wyoming 109 5 0000

Vital Statistics Geographic Code Outline for the United States 290

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

50 Wisconsin 55

001 000 2 999 9 Adams 001 6 0000

002 000 2 999 9 Ashland 003 6 0000

003 000 2 999 9 Barron 005 5 0000

004 000 2 999 9 Bayfield 007 6 0000

005 115 1 Brown 009 3 3080

001 6 Allouez village 01175

003 6 Ashwaubenon village 03425

011 6 De Pere 19775

019 4 Green Bay 31000

999 9 Balance of county 99999

006 000 2 999 9 Buffalo 011 6 0000

007 000 2 999 9 Burnett 013 6 0000

008 013 1 Calumet 015 5 0460

002 4 Appleton, part 02375

030 6 Menasha, part 50825

999 9 Balance of county 99999

009 082 1 Chippewa 017 4 2290

009 6 Chippewa Falls 14575

012 4 Eau Claire, part 22300

999 9 Balance of county 99999

010 000 2 999 9 Clark 019 5 0000

011 000 2 999 9 Columbia 021 5 0000

012 000 2 999 9 Crawford 023 6 0000

013 173 1 Dane 025 2 4720

013 6 Fitchburg 25950

026 3 Madison 48000

034 6 Middleton 51575

051 6 Sun Prairie 78600

999 9 Balance of county 99999

014 000 2 Dodge 027 4 0000

Vital Statistics Geographic Code Outline for the United States 291

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

50 Wisconsin 55

004 6 Beaver Dam 05900

054 6 Watertown, part 83975

999 9 Balance of county 99999

015 000 2 999 9 Door 029 5 0000

016 080 1 Douglas 031 5 2240

052 5 Superior 78700

999 9 Balance of county 99999

017 000 2 Dunn 033 5 0000

032 6 Menomonie 51025

999 9 Balance of county 99999

018 082 1 Eau Claire 035 4 2290

012 4 Eau Claire, part 22300

999 9 Balance of county 99999

019 000 2 999 9 Florence 037 6 0000

020 000 2 Fond du Lac 039 4 0000

014 5 Fond du Lac 26275

999 9 Balance of county 99999

021 000 2 999 9 Forest 041 6 0000

022 000 2 999 9 Grant 043 5 0000

023 000 2 Green 045 5 0000

036 6 Monroe 53750

999 9 Balance of county 99999

024 000 2 999 9 Green Lake 047 6 0000

025 000 2 999 9 Iowa 049 6 0000

026 000 2 999 9 Iron 051 6 0000

027 000 2 999 9 Jackson 053 6 0000

028 000 2 Jefferson 055 4 0000

015 6 Fort Atkinson 26675

054 6 Watertown, part 83975

061 6 Whitewater, part 86925

999 9 Balance of county 99999

029 000 2 999 9 Juneau 057 6 0000

Vital Statistics Geographic Code Outline for the United States 292

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

50 Wisconsin 55

030 146 1 Kenosha 059 3 3800

024 4 Kenosha 39225

044 6 Pleasant Prairie village 63300

999 9 Balance of county 99999

031 000 2 999 9 Kewaunee 061 6 0000

032 150 1 La Crosse 063 4 3870

025 4 La Crosse 40775

042 6 Onalaska 59925

999 9 Balance of county 99999

033 000 2 999 9 Lafayette 065 6 0000

034 000 2 999 9 Langlade 067 6 0000

035 000 2 999 9 Lincoln 069 5 0000

Vital Statistics Geographic Code Outline for the United States 293

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

50 Wisconsin 55

036 000 2 Manitowoc 071 4 0000

027 5 Manitowoc 48500

053 6 Two Rivers 81325

999 9 Balance of county 99999

037 298 1 Marathon 073 3 8940

029 6 Marshfield, part 49675

056 5 Wausau 84475

999 9 Balance of county 99999

038 000 2 Marinette 075 5 0000

028 6 Marinette 49300

999 9 Balance of county 99999

039 000 2 999 9 Marquette 077 6 0000

040 000 2 999 9 Menominee 078 6 0000

041 182 1 Milwaukee 079 1 5080

007 6 Brown Deer village 10375

010 6 Cudahy 17975

016 6 Franklin 27300

018 6 Glendale 29400

020 6 Greendale village 31125

021 5 Greenfield 31175

035 1 Milwaukee, part 53000

040 6 Oak Creek 58800

048 6 Shorewood village 73725

049 6 South Milwaukee 75125

057 5 Wauwatosa 84675

058 4 West Allis 85300

060 6 Whitefish Bay village 86700

999 9 Balance of county 99999

042 000 2 999 9 Monroe 081 5 0000

043 000 2 999 9 Oconto 083 5 0000

Vital Statistics Geographic Code Outline for the United States 294

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

50 Wisconsin 55

044 000 2 999 9 Oneida 085 5 0000

045 013 1 Outagamie 087 3 0460

002 4 Appleton, part 02375

023 6 Kaukauna 38800

999 9 Balance of county 99999

046 182 1 Ozaukee 089 4 5080

008 6 Cedarburg 13375

033 6 Mequon 51150

999 9 Balance of county 99999

047 000 2 999 9 Pepin 091 6 0000

048 183 1 Pierce 093 5 5120

046 6 River Falls, part 68275

999 9 Balance of county 99999

049 000 2 999 9 Polk 095 5 0000

050 000 2 Portage 097 4 0000

050 6 Stevens Point 77200

999 9 Balance of county 99999

051 000 2 999 9 Price 099 6 0000

052 225 1 Racine 101 3 6600

045 4 Racine 66000

999 9 Balance of county 99999

053 000 2 999 9 Richland 103 6 0000

054 138 1 Rock 105 3 3620

005 5 Beloit 06500

022 4 Janesville 37825

999 9 Balance of county 99999

055 000 2 999 9 Rusk 107 6 0000

056 183 1 St. Croix 109 4 5120

046 6 River Falls, part 68275

999 9 Balance of county 99999

057 000 2 999 9 Sauk 111 5 0000

Vital Statistics Geographic Code Outline for the United States 295

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

50 Wisconsin 55

058 000 2 999 9 Sawyer 113 6 0000

059 000 2 999 9 Shawano 115 5 0000

060 262 1 Sheboygan 117 3 7620

047 5 Sheboygan 72975

999 9 Balance of county 99999

061 000 2 999 9 Taylor 119 6 0000

062 000 2 999 9 Trempealeau 121 5 0000

063 000 2 999 9 Vernon 123 5 0000

064 000 2 999 9 Vilas 125 6 0000

065 000 2 Walworth 127 4 0000

061 6 Whitewater, part 86925

999 9 Balance of county 99999

066 000 2 999 9 Washburn 129 6 0000

Vital Statistics Geographic Code Outline for the United States 296

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

50 Wisconsin 55

067 182 1 Washington 131 4 5080

017 6 Germantown village 28875

035 1 Milwaukee, part 53000

059 6 West Bend 85350

999 9 Balance of county 99999

068 182 1 Waukesha 133 2 5080

006 5 Brookfield 10025

031 5 Menomonee Falls village 51000

035 1 Milwaukee, part 53000

037 6 Muskego 55275

039 5 New Berlin 56375

041 6 Oconomowoc 59250

055 4 Waukesha 84250

999 9 Balance of county 99999

069 000 2 999 9 Waupaca 135 5 0000

070 000 2 999 9 Waushara 137 6 0000

071 013 1 Winnebago 139 3 0460

002 4 Appleton, part 02375

030 6 Menasha, part 50825

038 6 Neenah 55750

043 4 Oshkosh 60500

999 9 Balance of county 99999

072 000 2 Wood 141 4 0000

029 6 Marshfield, part 49675

062 6 Wisconsin Rapids 88200

999 9 Balance of county 99999

Vital Statistics Geographic Code Outline for the United States 297

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

51 Wyoming 56

001 000 2 Albany 001 5 0000

006 5 Laramie 45050

999 9 Balance of county 99999

002 000 2 999 9 Big Horn 003 6 0000

003 000 2 Campbell 005 5 0000

004 6 Gillette 31855

999 9 Balance of county 99999

004 000 2 999 9 Carbon 007 6 0000

005 000 2 999 9 Converse 009 6 0000

006 000 2 999 9 Crook 011 6 0000

007 000 2 999 9 Fremont 013 5 0000

008 000 2 999 9 Goshen 015 6 0000

009 000 2 999 9 Hot Springs 017 6 0000

010 000 2 999 9 Johnson 019 6 0000

011 054 1 Laramie 021 4 1580

002 4 Cheyenne 13900

999 9 Balance of county 99999

012 000 2 999 9 Lincoln 023 6 0000

013 046 1 Natrona 025 4 1350

001 5 Casper 13150

999 9 Balance of county 99999

014 000 2 999 9 Niobrara 027 6 0000

015 000 2 999 9 Park 029 6 0000

016 000 2 999 9 Platte 031 6 0000

017 000 2 Sheridan 033 6 0000

008 6 Sheridan 69845

999 9 Balance of county 99999

018 000 2 999 9 Sublette 035 6 0000

019 000 2 Sweetwater 037 5 0000

005 6 Green River 33740

007 6 Rock Springs 67235

Vital Statistics Geographic Code Outline for the United States 298

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

51 Wyoming 56

999 9 Balance of county 99999

020 000 2 999 9 Teton 039 6 0000

021 000 2 Uinta 041 6 0000

003 6 Evanston 25620

999 9 Balance of county 99999

022 000 2 999 9 Washakie 043 6 0000

023 000 2 999 9 Weston 045 6 0000

Vital Statistics Geographic Code Outline for the United States

Effective with 1999 Data Page

299

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City P/S Area Names St Cnty P/S P/MSA Place

52 ZZZ ZZZ Z ZZZ Z Puerto Rico 00 000 Z 0000

53 ZZZ ZZZ Z ZZZ Z Virgin Islands 00 000 Z 0000

54 ZZZ ZZZ Z ZZZ Z Guam 00 000 Z 0000

55 ZZZ ZZZ Z ZZZ Z Canada 00 000 Z 0000

56 ZZZ ZZZ Z ZZZ Z Cuba 00 000 Z 0000

57 ZZZ ZZZ Z ZZZ Z Mexico 00 000 Z 0000

59 ZZZ ZZZ Z ZZZ Z Remainder of World 00 000 Z 0000

61 ZZZ ZZZ Z ZZZ Z American Samoa 00 000 Z 0000

62

ZZZ ZZZ Z ZZZ Z Northern Marianas 00 000 Z 0000

Vital Statistics Geographic Code Outline for Puerto Rico, Virgin

Islands, Guam, American Samoa and Northern Marianas

The following pages show in detail the geographic codes used by the Division of Vital

Statistics in the processing of vital event data occurring in Puerto Rico, Virgin

Islands, Guam, American Samoa or Northern Marianas. When an event occurs to a

nonresident of these areas, residence data are coded only to the "State" level; each

U.S. state, several western hemisphere countries or the remainder of the world are

uniquely identified. Along with the Division of Vital Statistics codes, the Federal

Information Processing Standards (FIPS) codes are shown for several items. Both sets

of codes appear on the vital event public-use files. Codes are effective with the

1998 data year and are based on results of the 1990 Census.

To aid the user in interpreting the geographic codes, a brief explanation of the

codes and of the column headings/abbreviations shown on the following pages are:

Puerto Rico

:

State (St): Puerto Rico has its own unique code. In addition, several unique codes

are used to identify nonresidents of Puerto Rico.

County (Cnty): Each municipio (county equivalent) is numbered alphabetically.

P/MSA: Primary metropolitan statistical areas and metropolitan statistical areas are

those established by the U.S. Office of Management and Budget (OMB) using 1990 Census

population counts.

M/NM: Metropolitan counties (code 1) are component counties of P/MSA's

Nonmetropolitan counties (code 2) are not part of any P/MSA.

City or Place: No city/places in Puerto Rico are identified.

Name: Puerto Rico and each municipio are listed along with their respective codes. In

addition, places used to identify nonresidents of Puerto Rico are also listed along

with their codes.

FIPS: For an explanation of FIPS codes, reference should be made to various National

Institute of Standards and Technology (NIST) publications.

Virgin Islands

:

State (St): The Virgin Islands has its own unique code. In addition, several unique

codes are used to identify nonresidents of the V.I.

County (Cnty): Several Islands (county equivalent) are numbered alphabetically.

P/MSA: None are identified in the Virgin Islands.

M/NM: No metropolitan areas are identified for the Virgin Islands.

City or Place: City/places are numbered alphabetically and identify each city with a

population of 10,000 or more in 1990.

P/S: Population size code for city of residence based on the 1990 Census. Refer to

the code outline given earlier in this document for specific codes and meanings.

Name: The Virgin Islands as a whole and several islands are listed along with their

respective codes. In addition, places used to identify nonresidents of the V.I. are

also listed along with their codes.

Vital Statistics Geographic Code Outline for Puerto Rico,

Virgin Islands, Guam, American Samoa and Northern Marianas- Con.

Guam

:

State (St): Guam has its own unique code. In addition, several unique codes are used

to identify nonresidents of Guam.

County (Cnty): None are identified in Guam.

P/MSA: None are identified in Guam.

M/NM: No metropolitan areas are identified for Guam.

City or Place: None are identified in Guam.

P/S: No population size groups are identified for Guam.

Name: Guam as a whole is listed along with its respective code. In addition, places

used to identify nonresidents of Guam are also listed along with their codes.

American Samoa:

State (St): American Samoa has its own unique code. In addition, several unique codes

are used to identify nonresidents of American Samoa.

County (Cnty): None are identified in American Samoa.

P/MSA: None are identified in American Samoa.

M/NM: No metropolitan areas are identified for American Samoa.

City or Place: None are identified in American Samoa.

P/S: No population size groups are identified for American Samoa.

Name: American Samoa as a whole is listed along with its respective code. In addition,

places used to identify nonresidents of American Samoa are also listed along with their

codes.

Northern Marianas:

State (St): Northern Marianas has its own unique code. In addition, several unique

codes are used to identify nonresidents of Northern Marianas

County ( Cnty): None are identified in Northern Marianas.

P/MSA: None are identified in Northern Marianas.

M/NM: No metropolitan areas are identified for Northern Marianas.

City or Place: None are identified in Northern Marianas.

P/S: No population size groups are identified for Northern Marianas.

Name: Northern Marianas as a whole is listed along with its respective code. In

addition, places used to identify nonresidents of Northern Marianas are also listed

along with their codes.

List of Primary Metropolitan Statistical Areas

and their Component Counties

For the United States and Puerto Rico

Vital Statistics Geographic Code Outline For Puerto Rico, Page 1

Virgin Islands, Guam, American Samoa and Northern Marianas

Effective with 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City Area Names St Cnty P/MSA Place

01 000 999 9 000 Alabama 01 000 0000 00000

02 000 999 9 000 Alaska 02 000 0000 00000

03 000 999 9 000 Arizona 04 000 0000 00000

04 000 999 9 000 Arkansas 05 000 0000 00000

05 000 999 9 000 California 06 000 0000 00000

06 000 999 9 000 Colorado 08 000 0000 00000

07 000 999 9 000 Connecticut 09 000 0000 00000

08 000 999 9 000 Delaware 10 000 0000 00000

09 000 999 9 000 District of Columbia 11 000 0000 00000

10 000 999 9 000 Florida 12 000 0000 00000

11 000 999 9 000 Georgia 13 000 0000 00000

12 000 999 9 000 Hawaii 15 000 0000 00000

13 000 999 9 000 Idaho 16 000 0000 00000

14 000 999 9 000 Illinois 17 000 0000 00000

15 000 999 9 000 Indiana 18 000 0000 00000

16 000 999 9 000 Iowa 19 000 0000 00000

17 000 999 9 000 Kansas 20 000 0000 00000

18 000 999 9 000 Kentucky 21 000 0000 00000

19 000 999 9 000 Louisiana 22 000 0000 00000

20 000 999 9 000 Maine 23 000 0000 00000

21 000 999 9 000 Maryland 24 000 0000 00000

22 000 999 9 000 Massachusetts 25 000 0000 00000

23 000 999 9 000 Michigan 26 000 0000 00000

24 000 999 9 000 Minnesota 27 000 0000 00000

25 000 999 9 000 Mississippi 28 000 0000 00000

26 000 999 9 000 Missouri 29 000 0000 00000

27 000 999 9 000 Montana 30 000 0000 00000

28 000 999 9 000 Nebraska 31 000 0000 00000

29 000 999 9 000 Nevada 32 000 0000 00000

30 000 999 9 000 New Hampshire 33 000 0000 00000

31 000 999 9 000 New Jersey 34 000 0000 00000

32 000 999 9 000 New Mexico 35 000 0000 00000

33 000 999 9 000 New York 36 000 0000 00000

34 000 999 9 000 North Carolina 37 000 0000 00000

35 000 999 9 000 North Dakota 38 000 0000 00000

36 000 999 9 000 Ohio 39 000 0000 00000

Vital Statistics Geographic Code Outline For Puerto Rico, Page 2

Virgin Islands, Guam, American Samoa and Northern Marianas

Effective With 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City Area Names St Cnty P/MSA Place

37 000 999 9 000 Oklahoma 40 000 0000 00000

38 000 999 9 000 Oregon 41 000 0000 00000

39 000 999 9 000 Pennsylvania 42 000 0000 00000

40 000 999 9 000 Rhode Island 44 000 0000 00000

41 000 999 9 000 South Carolina 45 000 0000 00000

42 000 999 9 000 South Dakota 46 000 0000 00000

43 000 999 9 000 Tennessee 47 000 0000 00000

44 000 999 9 000 Texas 48 000 0000 00000

45 000 999 9 000 Utah 49 000 0000 00000

46 000 999 9 000 Vermont 50 000 0000 00000

47 000 999 9 000 Virginia 51 000 0000 00000

48 000 999 9 000 Washington 53 000 0000 00000

49 000 999 9 000 West Virginia 54 000 0000 00000

50 000 999 9 000 Wisconsin 55 000 0000 00000

51 000 999 9 000 Wyoming 56 000 0000 00000

Vital Statistics Geographic Code Outline For Puerto Rico, Page 3

Virgin Islands, Guam, American Samoa and Northern Marianas

Effective With 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City Area Names St Cnty P/MSA Place

52 Puerto Rico 72

001 000 2 999 Adjuntas 001 0000

002 001 1 999 Aguada 003 0060

003 001 1 999 Aguadilla 005 0060

004 006 1 999 Aguas Buenas 007 7440

005 000 2 999 Aibonito 009 0000

006 004 1 999 Anasco 011 4840

007 002 1 999 Arecibo 013 0470

008 000 2 999 Arroyo 015 0000

009 006 1 999 Barceloneta 017 7440

010 000 2 999 Barranquitas 019 0000

011 006 1 999 Bayamon 021 7440

012 004 1 999 Cabo Rojo 023 4840

013 003 1 999 Caguas 025 1310

014 002 1 999 Camuy 027 0470

015 006 1 999 Canovanas 029 7440

016 006 1 999 Carolina 031 7440

017 006 1 999 Catano 033 7440

018 003 1 999 Cayey 035 1310

019 006 1 999 Ceiba 037 7440

020 000 2 999 Ciales 039 0000

021 003 1 999 Cidra 041 1310

022 000 2 999 Coamo 043 0000

023 006 1 999 Comerio 045 7440

024 006 1 999 Corozal 047 7440

025 000 2 999 Culebra 049 0000

026 006 1 999 Dorado 051 7440

027 006 1 999 Fajardo 053 7440

028 006 1 999 Florida 054 7440

029 000 2 999 Guanica 055 0000

030 000 2 999 Guayama 057 0000

031 005 1 999 Guayanilla 059 6360

032 006 1 999 Guaynabo 061 7440

033 003 1 999 Gurabo 063 1310

034 002 1 999 Hatillo 065 0470

035 004 1 999 Hormigueros 067 4840

036 006 1 999 Humacao 069 7440

037 000 2 999 Isabela 071 0000

038 000 2 999 Jayuya 073 0000

039 005 1 999 Juana Diaz 075 6360

040 006 1 999 Juncos 077 7440

041 000 2 999 Lajas 079 0000

042 000 2 999 Lares 081 0000

043 000 2 999 Las Marias 083 0000

044 006 1 999 Las Piedras 085 7440

045 006 1 999 Loiza 087 7440

046 006 1 999 Luquillo 089 7440

047 006 1 999 Manati 091 7440

048 000 2 999 Maricao 093 0000

049 000 2 999 Maunabo 095 0000

050 004 1 999 Mayaguez 097 4840

051 001 1 999 Moca 099 0060

052 006 1 999 Morovis 101 7440

053 006 1 999 Naguabo 103 7440

054 006 1 999 Naranjito 105 7440

055 000 2 999 Orocovis 107 0000

056 000 2 999 Patillas 109 0000

057 005 1 999 Penuelas 111 6360

058 005 1 999 Ponce 113 6360

059 000 2 999 Quebradillas 115 0000

060 000 2 999 Rincon 117 0000

061 006 1 999 Rio Grande 119 7440

062 004 1 999 Sabana Grande 121 4840

063 000 2 999 Salinas 123 0000

064 004 1 999 San German 125 4840

065 006 1 999 San Juan 127 7440

066 003 1 999 San Lorenzo 129 1310

067 000 2 999 San Sebastian 131 0000

068 000 2 999 Santa Isabel 133 0000

069 006 1 999 Toa Alta 135 7440

070 006 1 999 Toa Baja 137 7440

071 006 1 999 Trujillo Alto 139 7440

072 000 2 999 Utuado 141 0000

073 006 1 999 Vega Alta 143 7440

074 006 1 999 Vega Baja 145 7440

Vital Statistics Geographic Code Outline For Puerto Rico, Page 4

Virgin Islands, Guam, American Samoa and Northern Marianas

Effective With 1999 Data

Vital Statistics Codes FIPS Codes

St Cnty P/MSA M/NM City Area Names St Cnty P/MSA Place

52 Puerto Rico 72

075 000 2 999 Vieques 147 0000

076 005 1 999 Villalba 149 6360

077 006 1 999 Yabucoa 151 7440

078 005 1 999 Yauco 153 6360

53 Virgin Islands 78

001 000 2 999 St. Croix 010 0000

002 000 2 999 St. John 020 0000

003 000 2 St. Thomas 030 0000

001 Charlotte Amalie 99999

999 Balance of area 99999

54 Guam 66

000 000 2 Guam 010 0000

000 Guam 99999

55 ZZZ ZZZ Z ZZZ Canada 00 000 0000 00000

56 ZZZ ZZZ Z ZZZ Cuba 00 000 0000 00000

57 ZZZ ZZZ Z ZZZ Mexico 00 000 0000 00000

59 ZZZ ZZZ Z ZZZ Remainder of World 00 000 0000 00000

61 American Samoa 60

000 000 2 American Samoa 000 0000

000 American Samoa 99999

62 Northern Marianas 69

000 000 2 Northern Marianas 000 0000

000 Northern Marianas 99999

List of Primary Metropolitan Statistical Areas

and their Component Counties

For the United States and Puerto Rico

Primary and Metropolitan Statistical Areas Established in 1990 Page 2

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

001 Abilene, TX, MSA 0040

44 Texas 48

221 Taylor 441

002 Akron, OH, PMSA 0080

36 Ohio 39

067 Portage 133

077 Summit 153

003 Albany, GA, MSA 0120

11 Georgia 13

047 Dougherty 095

088 Lee 177

004 Albany-Schenectady-Troy, NY, MSA 0160

33 New York 36

001 Albany 001

027 Montgomery 057

039 Rensselaer 083

042 Saratoga 091

043 Schenectady 093

044 Schoharie 095

005 Albuquerque, NM, MSA 0200

32 New Mexico 35

001 Bernalillo 001

024 Sandoval 043

033 Valencia 061

006 Alexandria, LA, MSA 0220

19 Louisiana 22

040 Rapides 079

007 Allentown-Bethlehem-Easton, PA, MSA 0240

39 Pennsylvania 42

013 Carbon 025

039 Lehigh 077

048 Northampton 095

008 Altoona, PA, MSA 0280

39 Pennsylvania 42

007 Blair 013

009 Amarillo, TX, MSA 0320

44 Texas 48

188 Potter 375

191 Randall 381

010 Anchorage, AK, MSA 0380

02 Alaska 02

003 Anchorage 020

011 Ann Arbor, MI, PMSA 0440

23 Michigan 26

046 Lenawee 091

047 Livingston 093

081 Washtenaw 161

012 Anniston, AL, MSA 0450

01 Alabama 01

008 Calhoun 015

013 Appleton-Oshkosh-Neenah, WI, MSA 0460

50 Wisconsin 55

008 Calumet 015

045 Outagamie 087

071 Winnebago 139

014 Asheville, NC, MSA 0480

34 North Carolina 37

011 Buncombe 021

058 Madison 115

Primary and Metropolitan Statistical Areas Established in 1990 Page 3

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

015 Athens, GA, MSA 0500

11 Georgia 13

029 Clarke 059

097 Madison 195

108 Oconee 219

016 Atlanta, GA, MSA 0520

11 Georgia 13

007 Barrow 013

008 Bartow 015

022 Carroll 045

028 Cherokee 057

031 Clayton 063

033 Cobb 067

038 Coweta 077

044 De Kalb 089

048 Douglas 097

056 Fayette 113

058 Forsyth 117

060 Fulton 121

067 Gwinnett 135

075 Henry 151

107 Newton 217

110 Paulding 223

112 Pickens 227

122 Rockdale 247

126 Spalding 255

147 Walton 297

017 Atlantic-Cape May, NJ, PMSA 0560

31 New Jersey 34

001 Atlantic 001

005 Cape May 009

018 Augusta-Aiken, GA-SC, MSA 0600

11 Georgia 13

036 Columbia 073

094 McDuffie 189

121 Richmond 245

41 South Carolina 45

002 Aiken 003

019 Edgefield 037

019 Austin-San Marcos, TX, MSA 0640

44 Texas 48

011 Bastrop 021

028 Caldwell 055

105 Hays 209

227 Travis 453

246 Williamson 491

020 Bakersfield, CA, MSA 0680

05 California 06

015 Kern 029

021 Baltimore, MD, PMSA 0720

21 Maryland 24

002 Anne Arundel 003

003 Baltimore 005

004 Baltimore city 510

007 Carroll 013

013 Harford 025

014 Howard 027

018 Queen Anne's 035

022 Bangor, ME, NECMA 0733

20 Maine 23

010 Penobscot 019

023 Barnstable-Yarmouth, MA, NECMA 0743

22 Massachusetts 25

001 Barnstable 001

Primary and Metropolitan Statistical Areas Established in 1990 Page 4

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

024 Baton Rouge, LA, MSA 0760

19 Louisiana 22

003 Ascension 005

017 East Baton Rouge 033

032 Livingston 063

061 West Baton Rouge 121

025 Beaumont-Port Arthur, TX, MSA 0840

44 Texas 48

100 Hardin 199

123 Jefferson 245

181 Orange 361

026 Bellingham, WA, MSA 0860

48 Washington 53

037 Whatcom 073

027 Benton Harbor, MI, MSA 0870

23 Michigan 26

011 Berrien 021

028 Bergen-Passaic, NJ, PMSA 0875

31 New Jersey 34

002 Bergen 003

016 Passaic 031

029 Billings, MT, MSA 0880

27 Montana 30

056 Yellowstone 111

030 Biloxi-Gulfport-Pascagoula, MS, MSA 0920

25 Mississippi 28

023 Hancock 045

024 Harrison 047

030 Jackson 059

031 Binghamton, NY, MSA 0960

33 New York 36

003 Broome 007

050 Tioga 107

032 Birmingham, AL, MSA 1000

01 Alabama 01

005 Blount 009

037 Jefferson 073

058 St. Clair 115

059 Shelby 117

033 Bismarck, ND, MSA 1010

35 North Dakota 38

008 Burleigh 015

030 Morton 059

034 Bloomington, IN, MSA 1020

15 Indiana 18

053 Monroe 105

035 Bloomington-Normal, IL, MSA 1040

14 Illinois 17

057 McLean 113

036 Boise City, ID, MSA 1080

13 Idaho 16

001 Ada 001

014 Canyon 027

Primary and Metropolitan Statistical Areas Established in 1990 Page 5

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

037 Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH 1123

22 Massachusetts 25

003 Bristol 005

005 Essex 009

009 Middlesex 017

011 Norfolk 021

012 Plymouth 023

013 Suffolk 025

014 Worcester 027

30 New Hampshire 33

006 Hillsborough 011

008 Rockingham 015

009 Strafford 017

038 Boulder-Longmont, CO, PMSA 1125

06 Colorado 08

007 Boulder 013

039 Brazoria, TX, PMSA 1145

44 Texas 48

020 Brazoria 039

040 Bremerton, WA, PMSA 1150

48 Washington 53

018 Kitsap 035

041 Brownsville-Harlingen-San Benito, TX, MSA 1240

44 Texas 48

031 Cameron 061

042 Bryan-College Station, TX, MSA 1260

44 Texas 48

021 Brazos 041

043 Buffalo-Niagara Falls, NY, MSA 1280

33 New York 36

014 Erie 029

030 Niagara 063

044 Burlington, VT, NECMA 1303

46 Vermont 50

004 Chittenden 007

006 Franklin 011

007 Grand Isle 013

045 Canton-Massillon, OH, MSA 1320

36 Ohio 39

010 Carroll 019

076 Stark 151

046 Casper, WY, MSA 1350

51 Wyoming 56

013 Natrona 025

047 Cedar Rapids, IA, MSA 1360

16 Iowa 19

057 Linn 113

048 Champaign-Urbana, IL, MSA 1400

14 Illinois 17

010 Champaign 019

049 Charleston-North Charleston, SC, MSA 1440

41 South Carolina 45

008 Berkeley 015

010 Charleston 019

018 Dorchester 035

050 Charleston, WV, MSA 1480

49 West Virginia 54

020 Kanawha 039

040 Putnam 079

Primary and Metropolitan Statistical Areas Established in 1990 Page 6

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Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

051 Charlotte-Gastonia-Rock Hill, NC-SC, MSA 1520

34 North Carolina 37

013 Cabarrus 025

036 Gaston 071

055 Lincoln 109

060 Mecklenburg 119

080 Rowan 159

090 Union 179

41 South Carolina 45

046 York 091

052 Charlottesville, VA, MSA 1540

47 Virginia 51

002 Albemarle 003

025 Charlottesville city 540

045 Fluvanna 065

055 Greene 079

053 Chattanooga, TN-GA, MSA 1560

11 Georgia 13

023 Catoosa 047

041 Dade 083

146 Walker 295

43 Tennessee 47

033 Hamilton 065

058 Marion 115

054 Cheyenne, WY, MSA 1580

51 Wyoming 56

011 Laramie 021

055 Chicago, IL, PMSA 1600

14 Illinois 17

016 Cook 031

019 De Kalb 037

022 Du Page 043

032 Grundy 063

045 Kane 089

047 Kendall 093

049 Lake 097

056 McHenry 111

099 Will 197

056 Chico-Paradise, CA, MSA 1620

05 California 06

004 Butte 007

057 Cincinnati, OH-KY-IN, PMSA 1640

15 Indiana 18

015 Dearborn 029

058 Ohio 115

18 Kentucky 21

008 Boone 015

019 Campbell 037

039 Gallatin 077

041 Grant 081

059 Kenton 117

096 Pendleton 191

36 Ohio 39

008 Brown 015

013 Clermont 025

031 Hamilton 061

083 Warren 165

058 Clarksville-Hopkinsville, TN-KY, MSA 1660

18 Kentucky 21

024 Christian 047

43 Tennessee 47

063 Montgomery 125

Primary and Metropolitan Statistical Areas Established in 1990 Page 7

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

059 Cleveland-Lorain-Elyria, OH, PMSA 1680

36 Ohio 39

004 Ashtabula 007

018 Cuyahoga 035

028 Geauga 055

043 Lake 085

047 Lorain 093

052 Medina 103

060 Colorado Springs, CO, MSA 1720

06 Colorado 08

021 El Paso 041

061 Columbia, MO, MSA 1740

26 Missouri 29

010 Boone 019

062 Columbia, SC, MSA 1760

41 South Carolina 45

032 Lexington 063

040 Richland 079

063 Columbus, GA-AL, MSA 1800

01 Alabama 01

057 Russell 113

11 Georgia 13

026 Chattahoochee 053

072 Harris 145

106 Muscogee 215

064 Columbus, OH, MSA 1840

36 Ohio 39

021 Delaware 041

023 Fairfield 045

025 Franklin 049

045 Licking 089

049 Madison 097

065 Pickaway 129

065 Corpus Christi, TX, MSA 1880

44 Texas 48

178 Nueces 355

205 San Patricio 409

066 Cumberland, MD-WV, MSA 1900

21 Maryland 24

001 Allegany 001

49 West Virginia 54

029 Mineral 057

067 Dallas, TX, PMSA 1920

44 Texas 48

043 Collin 085

057 Dallas 113

061 Denton 121

070 Ellis 139

107 Henderson 213

116 Hunt 231

129 Kaufman 257

199 Rockwall 397

068 Danville, VA, MSA 1950

47 Virginia 51

035 Danville city 590

097 Pittsylvania 143

069 Davenport-Moline-Rock Island, IA-IL, MSA 1960

14 Illinois 17

037 Henry 073

081 Rock Island 161

16 Iowa 19

082 Scott 163

Primary and Metropolitan Statistical Areas Established in 1990 Page 8

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

070 Dayton-Springfield, OH, MSA 2000

36 Ohio 39

012 Clark 023

029 Greene 057

055 Miami 109

057 Montgomery 113

071 Daytona Beach, FL, MSA 2020

10 Florida 12

018 Flagler 035

064 Volusia 127

072 Decatur, AL, MSA 2030

01 Alabama 01

040 Lawrence 079

052 Morgan 103

073 Decatur, IL, MSA 2040

14 Illinois 17

058 Macon 115

074 Denver, CO, PMSA 2080

06 Colorado 08

001 Adams 001

003 Arapahoe 005

016 Denver 031

018 Douglas 035

030 Jefferson 059

075 Des Moines, IA, MSA 2120

16 Iowa 19

025 Dallas 049

077 Polk 153

091 Warren 181

076 Detroit, MI, PMSA 2160

23 Michigan 26

044 Lapeer 087

050 Macomb 099

058 Monroe 115

063 Oakland 125

074 St. Clair 147

082 Wayne 163

077 Dothan, AL, MSA 2180

01 Alabama 01

023 Dale 045

035 Houston 069

078 Dover, DE, MSA 2190

08 Delaware 10

001 Kent 001

079 Dubuque, IA, MSA 2200

16 Iowa 19

031 Dubuque 061

080 Duluth-Superior, MN-WI, MSA 2240

24 Minnesota 27

069 St. Louis 137

50 Wisconsin 55

016 Douglas 031

081 Dutchess County, NY, PMSA 2281

33 New York 36

013 Dutchess 027

082 Eau Claire, WI, MSA 2290

50 Wisconsin 55

009 Chippewa 017

018 Eau Claire 035

Primary and Metropolitan Statistical Areas Established in 1990 Page 9

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

083 El Paso, TX, MSA 2320

44 Texas 48

071 El Paso 141

084 Elkhart-Goshen, IN, MSA 2330

15 Indiana 18

020 Elkhart 039

085 Elmira, NY, MSA 2335

33 New York 36

007 Chemung 015

086 Enid, OK, MSA 2340

37 Oklahoma 40

024 Garfield 047

087 Erie, PA, MSA 2360

39 Pennsylvania 42

025 Erie 049

088 Eugene-Springfield, OR, MSA 2400

38 Oregon 41

020 Lane 039

089 Evansville-Henderson, IN-KY, MSA 2440

15 Indiana 18

065 Posey 129

082 Vanderburgh 163

087 Warrick 173

18 Kentucky 21

051 Henderson 101

090 Fargo-Moorhead, ND-MN, MSA 2520

24 Minnesota 27

014 Clay 027

35 North Dakota 38

009 Cass 017

091 Fayetteville, NC, MSA 2560

34 North Carolina 37

026 Cumberland 051

092 Fayetteville-Springdale-Rogers, AR, MSA 2580

04 Arkansas 05

004 Benton 007

072 Washington 143

093 Flint, MI, PMSA 2640

23 Michigan 26

025 Genesee 049

094 Florence, AL, MSA 2650

01 Alabama 01

017 Colbert 033

039 Lauderdale 077

095 Florence, SC, MSA 2655

41 South Carolina 45

021 Florence 041

096 Fort Collins-Loveland, CO, MSA 2670

06 Colorado 08

035 Larimer 069

097 Fort Lauderdale, FL, PMSA 2680

10 Florida 12

006 Broward 011

098 Fort Myers-Cape Coral, FL, MSA 2700

10 Florida 12

036 Lee 071

Primary and Metropolitan Statistical Areas Established in 1990 Page 10

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

099 Fort Pierce-Port St. Lucie, FL, MSA 2710

10 Florida 12

043 Martin 085

056 St. Lucie 111

100 Fort Smith, AR-OK, MSA 2720

04 Arkansas 05

017 Crawford 033

066 Sebastian 131

37 Oklahoma 40

068 Sequoyah 135

101 Fort Walton Beach, FL, MSA 2750

10 Florida 12

046 Okaloosa 091

102 Fort Wayne, IN, MSA 2760

15 Indiana 18

001 Adams 001

002 Allen 003

017 De Kalb 033

035 Huntington 069

090 Wells 179

092 Whitley 183

103 Fort Worth-Arlington, TX, PMSA 2800

44 Texas 48

111 Hood 221

126 Johnson 251

184 Parker 367

220 Tarrant 439

104 Fresno, CA, MSA 2840

05 California 06

010 Fresno 019

020 Madera 039

105 Gadsden, AL, MSA 2880

01 Alabama 01

028 Etowah 055

106 Gainesville, FL, MSA 2900

10 Florida 12

001 Alachua 001

107 Galveston-Texas City, TX, PMSA 2920

44 Texas 48

084 Galveston 167

108 Gary, IN, PMSA 2960

15 Indiana 18

045 Lake 089

064 Porter 127

109 Glens Falls, NY, MSA 2975

33 New York 36

053 Warren 113

054 Washington 115

110 Goldsboro, NC, MSA 2980

34 North Carolina 37

096 Wayne 191

111 Grand Forks, ND-MN, MSA 2985

24 Minnesota 27

060 Polk 119

35 North Dakota 38

018 Grand Forks 035

Primary and Metropolitan Statistical Areas Established in 1990 Page 11

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

112 Grand Rapids-Muskegon-Holland, MI, MSA 3000

23 Michigan 26

003 Allegan 005

041 Kent 081

061 Muskegon 121

070 Ottawa 139

113 Great Falls, MT, MSA 3040

27 Montana 30

007 Cascade 013

114 Greeley, CO, PMSA 3060

06 Colorado 08

062 Weld 123

115 Green Bay, WI, MSA 3080

50 Wisconsin 55

005 Brown 009

116 Greensboro--Winston-Salem--High Point, NC, MSA 3120

34 North Carolina 37

001 Alamance 001

029 Davidson 057

030 Davie 059

034 Forsyth 067

041 Guilford 081

076 Randolph 151

085 Stokes 169

099 Yadkin 197

117 Greenville, NC, MSA 3150

34 North Carolina 37

074 Pitt 147

118 Greenville-Spartanburg-Anderson, SC, MSA 3160

41 South Carolina 45

004 Anderson 007

011 Cherokee 021

023 Greenville 045

039 Pickens 077

042 Spartanburg 083

119 Hagerstown, MD, PMSA 3180

21 Maryland 24

022 Washington 043

120 Hamilton-Middletown, OH, PMSA 3200

36 Ohio 39

009 Butler 017

121 Harrisburg-Lebanon-Carlisle, PA, MSA 3240

39 Pennsylvania 42

021 Cumberland 041

022 Dauphin 043

038 Lebanon 075

050 Perry 099

122 Hartford, CT, NECMA 3283

07 Connecticut 09

002 Hartford 003

004 Middlesex 007

007 Tolland 013

123 Hattiesburg, MS, MSA 3285

25 Mississippi 28

018 Forrest 035

037 Lamar 073

124 Hickory-Morganton, NC, MSA 3290

34 North Carolina 37

002 Alexander 003

012 Burke 023

014 Caldwell 027

018 Catawba 035

Primary and Metropolitan Statistical Areas Established in 1990 Page 12

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

125 Honolulu, HI, MSA 3320

12 Hawaii 15

002 Honolulu 003

126 Houma, LA, MSA 3350

19 Louisiana 22

029 Lafourche 057

055 Terrebonne 109

127 Houston, TX, PMSA 3360

44 Texas 48

036 Chambers 071

079 Fort Bend 157

101 Harris 201

146 Liberty 291

170 Montgomery 339

237 Waller 473

128 Huntington-Ashland, WV-KY-OH, MSA 3400

18 Kentucky 21

010 Boyd 019

022 Carter 043

045 Greenup 089

36 Ohio 39

044 Lawrence 087

49 West Virginia 54

006 Cabell 011

050 Wayne 099

129 Huntsville, AL, MSA 3440

01 Alabama 01

042 Limestone 083

045 Madison 089

130 Indianapolis, IN, MSA 3480

15 Indiana 18

006 Boone 011

029 Hamilton 057

030 Hancock 059

032 Hendricks 063

041 Johnson 081

048 Madison 095

049 Marion 097

055 Morgan 109

073 Shelby 145

131 Iowa City, IA, MSA 3500

16 Iowa 19

052 Johnson 103

132 Jackson, MI, MSA 3520

23 Michigan 26

038 Jackson 075

133 Jackson, MS, MSA 3560

25 Mississippi 28

025 Hinds 049

045 Madison 089

061 Rankin 121

134 Jackson, TN, MSA 3580

43 Tennessee 47

057 Madison 113

135 Jacksonville, FL, MSA 3600

10 Florida 12

010 Clay 019

016 Duval 031

045 Nassau 089

055 St. Johns 109

136 Jacksonville, NC, MSA 3605

34 North Carolina 37

067 Onslow 133

Primary and Metropolitan Statistical Areas Established in 1990 Page 13

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United States

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

137 Jamestown, NY, MSA 3610

33 New York 36

006 Chautauqua 013

138 Janesville-Beloit, WI, MSA 3620

50 Wisconsin 55

054 Rock 105

139 Jersey City, NJ, PMSA 3640

31 New Jersey 34

009 Hudson 017

140 Johnson City-Kingsport-Bristol, TN-VA, MSA 3660

43 Tennessee 47

010 Carter 019

037 Hawkins 073

082 Sullivan 163

086 Unicoi 171

090 Washington 179

47 Virginia 51

015 Bristol city 520

115 Scott 169

129 Washington 191

141 Johnstown, PA, MSA 3680

39 Pennsylvania 42

011 Cambria 021

056 Somerset 111

142 Joplin, MO, MSA 3710

26 Missouri 29

049 Jasper 097

073 Newton 145

143 Kalamazoo-Battle Creek, MI, MSA 3720

23 Michigan 26

013 Calhoun 025

039 Kalamazoo 077

080 Van Buren 159

144 Kankakee, IL, PMSA 3740

14 Illinois 17

046 Kankakee 091

145 Kansas City, MO-KS, MSA 3760

17 Kansas 20

046 Johnson 091

052 Leavenworth 103

061 Miami 121

105 Wyandotte 209

26 Missouri 29

019 Cass 037

024 Clay 047

025 Clinton 049

048 Jackson 095

054 Lafayette 107

083 Platte 165

089 Ray 177

146 Kenosha, WI, PMSA 3800

50 Wisconsin 55

030 Kenosha 059

147 Killeen-Temple, TX, MSA 3810

44 Texas 48

014 Bell 027

050 Coryell 099

Primary and Metropolitan Statistical Areas Established in 1990 Page 14

Effective with 1999 and Adapted for Use by DVS

United States

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

148 Knoxville, TN, MSA 3840

43 Tennessee 47

001 Anderson 001

005 Blount 009

047 Knox 093

053 Loudon 105

078 Sevier 155

087 Union 173

149 Kokomo, IN, MSA 3850

15 Indiana 18

034 Howard 067

080 Tipton 159

150 La Crosse, WI-MN, MSA 3870

24 Minnesota 27

028 Houston 055

50 Wisconsin 55

032 La Crosse 063

151 Lafayette, LA, MSA 3880

19 Louisiana 22

001 Acadia 001

028 Lafayette 055

049 St. Landry 097

050 St. Martin 099

152 Lafayette, IN, MSA 3920

15 Indiana 18

012 Clinton 023

079 Tippecanoe 157

153 Lake Charles, LA, MSA 3960

19 Louisiana 22

010 Calcasieu 019

154 Lakeland-Winter Haven, FL, MSA 3980

10 Florida 12

053 Polk 105

155 Lancaster, PA, MSA 4000

39 Pennsylvania 42

036 Lancaster 071

156 Lansing-East Lansing, MI, MSA 4040

23 Michigan 26

019 Clinton 037

023 Eaton 045

033 Ingham 065

157 Laredo, TX, MSA 4080

44 Texas 48

240 Webb 479

158 Las Cruces, NM, MSA 4100

32 New Mexico 35

008 Dona Ana 013

159 Las Vegas, NV-AZ, MSA 4120

03 Arizona 04

009 Mohave 015

29 Nevada 32

003 Clark 003

013 Nye 023

160 Lawrence, KS, MSA 4150

17 Kansas 20

023 Douglas 045

161 Lawton, OK, MSA 4200

37 Oklahoma 40

016 Comanche 031

Primary and Metropolitan Statistical Areas Established in 1990 Page 15

Effective with 1999 and Adapted for Use by DVS

United States

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

162 Lewiston-Auburn, ME, NECMA 4243

20 Maine 23

001 Androscoggin 001

163 Lexington, KY, MSA 4280

18 Kentucky 21

009 Bourbon 017

025 Clark 049

034 Fayette 067

057 Jessamine 113

076 Madison 151

105 Scott 209

120 Woodford 239

164 Lima, OH, MSA 4320

36 Ohio 39

002 Allen 003

006 Auglaize 011

165 Lincoln, NE, MSA 4360

28 Nebraska 31

055 Lancaster 109

166 Little Rock-North Little Rock, AR, MSA 4400

04 Arkansas 05

023 Faulkner 045

043 Lonoke 085

060 Pulaski 119

063 Saline 125

167 Longview-Marshall, TX, MSA 4420

44 Texas 48

092 Gregg 183

102 Harrison 203

230 Upshur 459

168 Los Angeles-Long Beach, CA, PMSA 4480

05 California 06

019 Los Angeles 037

169 Louisville, KY-IN, MSA 4520

15 Indiana 18

010 Clark 019

022 Floyd 043

031 Harrison 061

072 Scott 143

18 Kentucky 21

015 Bullitt 029

056 Jefferson 111

093 Oldham 185

170 Lubbock, TX, MSA 4600

44 Texas 48

152 Lubbock 303

171 Lynchburg, VA, MSA 4640

47 Virginia 51

006 Amherst 009

011 Bedford 019

012 Bedford city 515

020 Campbell 031

076 Lynchburg city 680

172 Macon, GA, MSA 4680

11 Georgia 13

011 Bibb 021

076 Houston 153

084 Jones 169

111 Peach 225

143 Twiggs 289

173 Madison, WI, MSA 4720

50 Wisconsin 55

013 Dane 025

Primary and Metropolitan Statistical Areas Established in 1990 Page 16

Effective with 1999 and Adapted for Use by DVS

United States

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

174 Mansfield, OH, MSA 4800

36 Ohio 39

017 Crawford 033

070 Richland 139

175 McAllen-Edinburg-Mission, TX, MSA 4880

44 Texas 48

108 Hidalgo 215

176 Medford-Ashland, OR, MSA 4890

38 Oregon 41

015 Jackson 029

177 Melbourne-Titusville-Palm Bay, FL, MSA 4900

10 Florida 12

005 Brevard 009

178 Memphis, TN-AR-MS, MSA 4920

04 Arkansas 05

018 Crittenden 035

25 Mississippi 28

017 De Soto 033

43 Tennessee 47

024 Fayette 047

079 Shelby 157

084 Tipton 167

179 Merced, CA, MSA 4940

05 California 06

024 Merced 047

180 Miami, FL, PMSA 5000

10 Florida 12

013 Dade 025

181 Middlesex-Somerset-Hunterdon, NJ, PMSA 5015

31 New Jersey 34

010 Hunterdon 019

012 Middlesex 023

018 Somerset 035

182 Milwaukee-Waukesha, WI, PMSA 5080

50 Wisconsin 55

041 Milwaukee 079

046 Ozaukee 089

067 Washington 131

068 Waukesha 133

183 Minneapolis-St. Paul, MN-WI, MSA 5120

24 Minnesota 27

002 Anoka 003

010 Carver 019

013 Chisago 025

019 Dakota 037

027 Hennepin 053

030 Isanti 059

062 Ramsey 123

070 Scott 139

071 Sherburne 141

082 Washington 163

086 Wright 171

50 Wisconsin 55

048 Pierce 093

056 St. Croix 109

184 Mobile, AL, MSA 5160

01 Alabama 01

002 Baldwin 003

049 Mobile 097

185 Modesto, CA, MSA 5170

05 California 06

050 Stanislaus 099

Primary and Metropolitan Statistical Areas Established in 1990 Page 17

Effective with 1999 and Adapted for Use by DVS

United States

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

186 Monmouth-Ocean, NJ, PMSA 5190

31 New Jersey 34

013 Monmouth 025

015 Ocean 029

187 Monroe, LA, MSA 5200

19 Louisiana 22

037 Ouachita 073

188 Montgomery, AL, MSA 5240

01 Alabama 01

001 Autauga 001

026 Elmore 051

051 Montgomery 101

189 Muncie, IN, MSA 5280

15 Indiana 18

018 Delaware 035

190 Myrtle Beach, SC, MSA 5330

41 South Carolina 45

026 Horry 051

191 Naples, FL, MSA 5345

10 Florida 12

011 Collier 021

192 Nashville, TN, MSA 5360

43 Tennessee 47

011 Cheatham 021

019 Davidson 037

022 Dickson 043

074 Robertson 147

075 Rutherford 149

083 Sumner 165

094 Williamson 187

095 Wilson 189

193 Nassau-Suffolk, NY, PMSA 5380

33 New York 36

028 Nassau 059

048 Suffolk 103

194 New Haven-Bridgeport-Stamford-Danbury-Waterbury, 5483

CT, NECMA

07 Connecticut 09

001 Fairfield 001

005 New Haven 009

195 New London-Norwich, CT, NECMA 5523

07 Connecticut 09

006 New London 011

196 New Orleans, LA, MSA 5560

19 Louisiana 22

026 Jefferson 051

036 Orleans 071

038 Plaquemines 075

044 St. Bernard 087

045 St. Charles 089

047 St. James 093

048 St. John the Baptist 095

052 St. Tammany 103

197 New York, NY, PMSA 5600

33 New York 36

029 New York city 005

038 Putnam 079

040 Rockland 087

056 Westchester 119

Primary and Metropolitan Statistical Areas Established in 1990 Page 18

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

198 Newark, NJ, PMSA 5640

31 New Jersey 34

007 Essex 013

014 Morris 027

019 Sussex 037

020 Union 039

021 Warren 041

199 Newburgh, NY-PA, PMSA 5660

33 New York 36

034 Orange 071

39 Pennsylvania 42

052 Pike 103

200 Norfolk-Virginia Beach-Newport News, VA-NC, MSA 5720

34 North Carolina 37

027 Currituck 053

47 Virginia 51

026 Chesapeake city 550

052 Gloucester 073

058 Hampton city 650

065 Isle of Wight 093

066 James City 095

081 Mathews 115

087 Newport News city 700

088 Norfolk city 710

098 Poquoson city 735

099 Portsmouth city 740

123 Suffolk city 800

127 Virginia Beach city 810

132 Williamsburg city 830

136 York 199

201 Oakland, CA, PMSA 5775

05 California 06

001 Alameda 001

007 Contra Costa 013

202 Ocala, FL, MSA 5790

10 Florida 12

042 Marion 083

203 Odessa-Midland, TX, MSA 5800

44 Texas 48

068 Ector 135

165 Midland 329

204 Oklahoma City, OK, MSA 5880

37 Oklahoma 40

009 Canadian 017

014 Cleveland 027

042 Logan 083

044 McClain 087

055 Oklahoma 109

063 Pottawatomie 125

205 Olympia, WA, PMSA 5910

48 Washington 53

034 Thurston 067

206 Omaha, NE-IA, MSA 5920

16 Iowa 19

078 Pottawattamie 155

28 Nebraska 31

013 Cass 025

028 Douglas 055

077 Sarpy 153

089 Washington 177

207 Orange County, CA, PMSA 5945

05 California 06

030 Orange 059

Primary and Metropolitan Statistical Areas Established in 1990 Page 19

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United States

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

208 Orlando, FL, MSA 5960

10 Florida 12

035 Lake 069

048 Orange 095

049 Osceola 097

059 Seminole 117

209 Owensboro, KY, MSA 5990

18 Kentucky 21

030 Daviess 059

210 Panama City, FL, MSA 6015

10 Florida 12

003 Bay 005

211 Parkersburg-Marietta, WV-OH, MSA 6020

36 Ohio 39

084 Washington 167

49 West Virginia 54

054 Wood 107

212 Pensacola, FL, MSA 6080

10 Florida 12

017 Escambia 033

057 Santa Rosa 113

213 Peoria-Pekin, IL, MSA 6120

14 Illinois 17

072 Peoria 143

090 Tazewell 179

102 Woodford 203

214 Philadelphia, PA-NJ, PMSA 6160

31 New Jersey 34

003 Burlington 005

004 Camden 007

008 Gloucester 015

017 Salem 033

39 Pennsylvania 42

009 Bucks 017

015 Chester 029

023 Delaware 045

046 Montgomery 091

051 Philadelphia 101

215 Phoenix-Mesa, AZ, MSA 6200

03 Arizona 04

008 Maricopa 013

012 Pinal 021

216 Pine Bluff, AR, MSA 6240

04 Arkansas 05

035 Jefferson 069

217 Pittsburgh, PA, MSA 6280

39 Pennsylvania 42

002 Allegheny 003

004 Beaver 007

010 Butler 019

026 Fayette 051

063 Washington 125

065 Westmoreland 129

218 Pittsfield, MA, NECMA 6323

22 Massachusetts 25

002 Berkshire 003

219 Portland, ME, NECMA 6403

20 Maine 23

003 Cumberland 005

Primary and Metropolitan Statistical Areas Established in 1990 Page 20

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United States

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Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

220 Portland-Vancouver, OR-WA, PMSA 6440

38 Oregon 41

003 Clackamas 005

005 Columbia 009

026 Multnomah 051

034 Washington 067

036 Yamhill 071

48 Washington 53

006 Clark 011

221 Providence-Warwick-Pawtucket, RI, NECMA 6483

40 Rhode Island 44

001 Bristol 001

002 Kent 003

004 Providence 007

005 Washington 009

222 Provo-Orem, UT, MSA 6520

45 Utah 49

025 Utah 049

223 Pueblo, CO, MSA 6560

06 Colorado 08

051 Pueblo 101

224 Punta Gorda, FL, MSA 6580

10 Florida 12

008 Charlotte 015

225 Racine, WI, PMSA 6600

50 Wisconsin 55

052 Racine 101

226 Raleigh-Durham-Chapel Hill, NC, MSA 6640

34 North Carolina 37

019 Chatham 037

032 Durham 063

035 Franklin 069

051 Johnston 101

068 Orange 135

092 Wake 183

227 Rapid City, SD, MSA 6660

42 South Dakota 46

051 Pennington 103

228 Reading, PA, MSA 6680

39 Pennsylvania 42

006 Berks 011

229 Redding, CA, MSA 6690

05 California 06

045 Shasta 089

230 Reno, NV, MSA 6720

29 Nevada 32

016 Washoe 031

231 Richland-Kennewick-Pasco, WA, MSA 6740

48 Washington 53

003 Benton 005

011 Franklin 021

Primary and Metropolitan Statistical Areas Established in 1990 Page 21

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

232 Richmond-Petersburg, VA, MSA 6760

47 Virginia 51

023 Charles City 036

027 Chesterfield 041

030 Colonial Heights city 570

037 Dinwiddie 053

053 Goochland 075

059 Hanover 085

061 Henrico 087

064 Hopewell city 670

086 New Kent 127

096 Petersburg city 730

100 Powhatan 145

102 Prince George 149

108 Richmond city 760

233 Riverside-San Bernardino, CA, PMSA 6780

05 California 06

033 Riverside 065

036 San Bernardino 071

234 Roanoke, VA, MSA 6800

47 Virginia 51

014 Botetourt 023

109 Roanoke 161

110 Roanoke city 770

114 Salem city 775

235 Rochester, MN, MSA 6820

24 Minnesota 27

055 Olmsted 109

236 Rochester, NY, MSA 6840

33 New York 36

018 Genesee 037

024 Livingston 051

026 Monroe 055

033 Ontario 069

035 Orleans 073

055 Wayne 117

237 Rockford, IL, MSA 6880

14 Illinois 17

004 Boone 007

071 Ogle 141

101 Winnebago 201

238 Rocky Mount, NC, MSA 6895

34 North Carolina 37

033 Edgecombe 065

064 Nash 127

239 Sacramento, CA, PMSA 6920

05 California 06

009 El Dorado 017

031 Placer 061

034 Sacramento 067

240 Saginaw-Bay City-Midland, MI, MSA 6960

23 Michigan 26

009 Bay 017

056 Midland 111

073 Saginaw 145

241 St. Cloud, MN, MSA 6980

24 Minnesota 27

005 Benton 009

073 Stearns 145

242 St. Joseph, MO, MSA 7000

26 Missouri 29

002 Andrew 003

011 Buchanan 021

Primary and Metropolitan Statistical Areas Established in 1990 Page 22

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

243 St. Louis, MO-IL, MSA 7040

14 Illinois 17

014 Clinton 027

042 Jersey 083

060 Madison 119

067 Monroe 133

082 St. Clair 163

26 Missouri 29

036 Franklin 071

050 Jefferson 099

057 Lincoln 113

092 St. Charles 183

095 St. Louis 189

096 St. Louis city 510

110 Warren 219

244 Salem, OR, PMSA 7080

38 Oregon 41

024 Marion 047

027 Polk 053

245 Salinas, CA, MSA 7120

05 California 06

027 Monterey 053

246 Salt Lake City-Ogden, UT, MSA 7160

45 Utah 49

006 Davis 011

018 Salt Lake 035

029 Weber 057

247 San Angelo, TX, MSA 7200

44 Texas 48

226 Tom Green 451

248 San Antonio, TX, MSA 7240

44 Texas 48

015 Bexar 029

046 Comal 091

094 Guadalupe 187

247 Wilson 493

249 San Diego, CA, MSA 7320

05 California 06

037 San Diego 073

250 San Francisco, CA, PMSA 7360

05 California 06

021 Marin 041

038 San Francisco 075

041 San Mateo 081

251 San Jose, CA, PMSA 7400

05 California 06

043 Santa Clara 085

252 San Luis Obispo-Atascadero-Paso Robles, CA, MSA 7460

05 California 06

040 San Luis Obispo 079

253 Santa Barbara-Santa Maria-Lompoc, CA, MSA 7480

05 California 06

042 Santa Barbara 083

254 Santa Cruz-Watsonville, CA, PMSA 7485

05 California 06

044 Santa Cruz 087

255 Santa Fe, NM, MSA 7490

32 New Mexico 35

016 Los Alamos 028

027 Santa Fe 049

Primary and Metropolitan Statistical Areas Established in 1990 Page 23

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

256 Santa Rosa, CA, PMSA 7500

05 California 06

049 Sonoma 097

257 Sarasota-Bradenton, FL, MSA 7510

10 Florida 12

041 Manatee 081

058 Sarasota 115

258 Savannah, GA, MSA 7520

11 Georgia 13

015 Bryan 029

025 Chatham 051

051 Effingham 103

259 Scranton--Wilkes-Barre--Hazleton, PA, MSA 7560

39 Pennsylvania 42

019 Columbia 037

035 Lackawanna 069

040 Luzerne 079

066 Wyoming 131

260 Seattle-Bellevue-Everett, WA, PMSA 7600

48 Washington 53

015 Island 029

017 King 033

031 Snohomish 061

261 Sharon, PA, MSA 7610

39 Pennsylvania 42

043 Mercer 085

262 Sheboygan, WI, MSA 7620

50 Wisconsin 55

060 Sheboygan 117

263 Sherman-Denison, TX, MSA 7640

44 Texas 48

091 Grayson 181

264 Shreveport-Bossier City, LA, MSA 7680

19 Louisiana 22

008 Bossier 015

009 Caddo 017

060 Webster 119

265 Sioux City, IA-NE, MSA 7720

16 Iowa 19

097 Woodbury 193

28 Nebraska 31

022 Dakota 043

266 Sioux Falls, SD, MSA 7760

42 South Dakota 46

041 Lincoln 083

049 Minnehaha 099

267 South Bend, IN, MSA 7800

15 Indiana 18

071 St. Joseph 141

268 Spokane, WA, MSA 7840

48 Washington 53

032 Spokane 063

269 Springfield, IL, MSA 7880

14 Illinois 17

065 Menard 129

084 Sangamon 167

Primary and Metropolitan Statistical Areas Established in 1990 Page 24

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

270 Springfield, MO, MSA 7920

26 Missouri 29

022 Christian 043

039 Greene 077

113 Webster 225

271 Springfield, MA, NECMA 8003

22 Massachusetts 25

007 Hampden 013

008 Hampshire 015

272 State College, PA, MSA 8050

39 Pennsylvania 42

014 Centre 027

273 Steubenville-Weirton, OH-WV, MSA 8080

36 Ohio 39

041 Jefferson 081

49 West Virginia 54

005 Brooke 009

015 Hancock 029

274 Stockton-Lodi, CA, MSA 8120

05 California 06

039 San Joaquin 077

275 Sumter, SC, MSA 8140

41 South Carolina 45

043 Sumter 085

276 Syracuse, NY, MSA 8160

33 New York 36

005 Cayuga 011

025 Madison 053

032 Onondaga 067

036 Oswego 075

277 Tacoma, WA, PMSA 8200

48 Washington 53

027 Pierce 053

278 Tallahassee, FL, MSA 8240

10 Florida 12

020 Gadsden 039

037 Leon 073

279 Tampa-St. Petersburg-Clearwater, FL, MSA 8280

10 Florida 12

027 Hernando 053

029 Hillsborough 057

051 Pasco 101

052 Pinellas 103

280 Terre Haute, IN, MSA 8320

15 Indiana 18

011 Clay 021

083 Vermillion 165

084 Vigo 167

281

Texarkana, TX-Texarkana, AR, MSA 8360

04 Arkansas 05

046 Miller 091

44 Texas 48

019 Bowie 037

282 Toledo, OH, MSA 8400

36 Ohio 39

026 Fulton 051

048 Lucas 095

087 Wood 173

283 Topeka, KS, MSA 8440

17 Kansas 20

089 Shawnee 177

Primary and Metropolitan Statistical Areas Established in 1990 Page 25

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

284 Trenton, NJ, PMSA 8480

31 New Jersey 34

011 Mercer 021

285 Tucson, AZ, MSA 8520

03 Arizona 04

011 Pima 019

286 Tulsa, OK, MSA 8560

37 Oklahoma 40

019 Creek 037

057 Osage 113

066 Rogers 131

072 Tulsa 143

073 Wagoner 145

287 Tuscaloosa, AL, MSA 8600

01 Alabama 01

063 Tuscaloosa 125

288 Tyler, TX, MSA 8640

44 Texas 48

212 Smith 423

289 Utica-Rome, NY, MSA 8680

33 New York 36

021 Herkimer 043

031 Oneida 065

290 Vallejo-Fairfield-Napa, CA, PMSA 8720

05 California 06

028 Napa 055

048 Solano 095

291 Ventura, CA, PMSA 8735

05 California 06

056 Ventura 111

292 Victoria, TX, MSA 8750

44 Texas 48

235 Victoria 469

293 Vineland-Millville-Bridgeton, NJ, PMSA 8760

31 New Jersey 34

006 Cumberland 011

294 Visalia-Tulare-Porterville, CA, MSA 8780

05 California 06

054 Tulare 107

295 Waco, TX, MSA 8800

44 Texas 48

155 McLennan 309

Primary and Metropolitan Statistical Areas Established in 1990 Page 26

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

296 Washington, DC-MD-VA-WV, PMSA 8840

09 Dist. of Columbia 11

001 District of Columbia 001

21 Maryland 24

005 Calvert 009

009 Charles 017

011 Frederick 021

016 Montgomery 031

017 Prince George's 033

47 Virginia 51

003 Alexandria city 510

008 Arlington 013

028 Clarke 043

033 Culpeper 047

040 Fairfax 059

041 Fairfax city 600

042 Falls Church city 610

043 Fauquier 061

049 Fredericksburg city 630

068 King George 099

073 Loudoun 107

078 Manassas city 683

079 Manassas Park city 685

103 Prince William 153

120 Spotsylvania 177

121 Stafford 179

128 Warren 187

49 West Virginia 54

002 Berkeley 003

019 Jefferson 037

297 Waterloo-Cedar Falls, IA, MSA 8920

16 Iowa 19

007 Black Hawk 013

298 Wausau, WI, MSA 8940

50 Wisconsin 55

037 Marathon 073

299 West Palm Beach-Boca Raton, FL, MSA 8960

10 Florida 12

050 Palm Beach 099

300 Wheeling, WV-OH, MSA 9000

36 Ohio 39

007 Belmont 013

49 West Virginia 54

026 Marshall 051

035 Ohio 069

301 Wichita, KS, MSA 9040

17 Kansas 20

008 Butler 015

040 Harvey 079

087 Sedgwick 173

302 Wichita Falls, TX, MSA 9080

44 Texas 48

005 Archer 009

243 Wichita 485

303 Williamsport, PA, MSA 9140

39 Pennsylvania 42

041 Lycoming 081

304 Wilmington-Newark, DE-MD, PMSA 9160

08 Delaware 10

002 New Castle 003

21 Maryland 24

008 Cecil 015

Primary and Metropolitan Statistical Areas Established in 1990 Page 27

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

305 Wilmington, NC, MSA 9200

34 North Carolina 37

010 Brunswick 019

065 New Hanover 129

306 Yakima, WA, MSA 9260

48 Washington 53

039 Yakima 077

307 Yolo, CA, PMSA 9270

05 California 06

057 Yolo 113

308 York, PA, MSA 9280

39 Pennsylvania 42

067 York 133

309 Youngstown-Warren, OH, MSA 9320

36 Ohio 39

015 Columbiana 029

050 Mahoning 099

078 Trumbull 155

310 Yuba City, CA, MSA 9340

05 California 06

051 Sutter 101

058 Yuba 115

311 Yuma, AZ, MSA 9360

03 Arizona 04

015 Yuma 027

List of Primary Metropolitan Statistical Areas and their Component Counties

For the United States and Puerto Rico

Primary and Metropolitan Statistical Areas Established in 1990 Page 28

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

001 Aguadilla, PR, MSA 0060

52 Puerto Rico 72

002 Aguada 003

003 Aguadilla 005

051 Moca 099

002 Arecibo, PR, PMSA 0470

52 Puerto Rico 72

007 Arecibo 013

014 Camuy 027

034 Hatillo 065

003 Caguas, PR, PMSA 1310

52 Puerto Rico 72

013 Caguas 025

018 Cayey 035

021 Cidra 041

033 Gurabo 063

066 San Lorenzo 129

004 Mauaguez, PR, MSA 4840

52 Puerto Rico 72

006 Anasco 011

012 Cabo Rojo 023

035 Hormigueros 067

050 Mayaguez 097

062 Sabana Grande 121

064 San German 125

005 Ponce, PR, MSA 6360

52 Puerto Rico 72

031 Guayanilla 059

039 Juana Diaz 075

057 Penuelas 111

058 Ponce 113

076 Villalba 149

078 Yauco 153

List of Primary Metropolitan Statistical Areas and their Component Counties

For the United States and Puerto Rico

Primary and Metropolitan Statistical Areas Established in 1990 Page 29

Effective with 1999 and Adapted for Use by DVS

United States

Puerto Rico

Vital Statistics Codes FIPS Codes

P/MSA State County P/MSA Name and County Components P/MSA State Cnty

006 San Juan-Bayamon, PR, PMSA 7440

52 Puerto Rico 72

004 Aguas Buenas 007

009 Barceloneta 017

011 Bayamon 021

015 Canovanas 029

016 Carolina 031

017 Catano 033

019 Ceiba 037

023 Comerio 045

024 Corozal 047

026 Dorado 051

027 Fajardo 053

028 Florida 054

032 Guaynabo 061

036 Humacao 069

040 Juncos 077

044 Las Piedras 085

045 Loiza 087

046 Luquillo 089

047 Manati 091

052 Morovis 101

053 Naguabo 103

054 Naranjito 105

061 Rio Grande 119

065 San Juan 127

069 Toa Alta 135

070 Toa Baja 137

071 Trujillo Alto 139

073 Vega Alta 143

074 Vega Baja 145

077 Yabucoa 151

- 1 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

A000 - - - - A069 - - - - A209 - - - -

A001 - - - - A070 - - - - A210 - - - -

A009 1 1 - 1 A071 - 2 2 2 A211 - - - -

A010 - 1 1 1 A072 - 12 12 12 A212 - - - -

A011 - - - - A073 1 38 37 38 A213 - - - -

A012 - - - - A078 - 1 1 1 A217 1 1 - -

A013 - - - - A079 - - - - A218 - - - -

A014 - - - - A080 7 10 3 10 A219 - - - 1

A020 13 27 14 27 A081 - - - - A220 - - - -

A021 23 34 14 33 A082 2 2 - 2 A221 - - - -

A022 1 1 - - A083 3 5 2 5 A222 - - - -

A028 - - - - A084 103 144 41 144 A227 - - - -

A029 1 6 5 8 A085 2 7 5 7 A228 - - - -

A030 - 1 1 1 A09 96 207 111 207 A229 - - - -

A031 - - - - A162 467 708 309 711 A230 - - - -

A032 - - - - A163 - 1 1 1 A231 - - - -

A033 - - - - A164 4 3 - 2 A232 - - - -

A038 - - - - A165 11 18 10 15 A233 - - - -

A039 6 9 3 9 A167 1 3 2 3 A238 - - - -

A040 - - - - A168 - - - - A239 - 1 1 1

A041 1 1 - 1 A169 281 855 575 978 A240 - - - -

A042 - - - - A170 24 39 18 46 A241 - - - -

A043 - - - - A171 - - - - A242 - - - -

A044 6 8 2 8 A178 3 12 9 13 A243 - - - -

A045 - 1 1 1 A179 - - - - A244 - - - -

A046 - - - - A180 49 93 44 95 A250 - - - -

A047 793 1545 752 1545 A181 4 8 5 8 A251 - - - -

A048 86 178 93 179 A182 - 5 5 5 A259 - - - -

A049 8 13 5 13 A183 14 16 5 18 A260 - - - -

A050 - - - - A184 1 2 1 2 A267 - - - -

A051 4 4 - 4 A185 - - - - A268 - - - -

A052 6 6 - 6 A186 - - - - A269 - - - -

A053 2 2 - 2 A187 - - - - A270 - - - -

A054 - - - - A188 7 10 8 10 A278 - - - -

A058 - - - - A190 - - - 1 A279 - - - -

A059 - 1 1 2 A191 - - - - A280 2 3 1 3

A060 2 3 1 3 A192 - - - - A281 - - - -

A061 - - - - A198 - - - - A282 - - - -

A062 - - - - A199 64 98 34 111 A288 1 3 2 3

A063 - - - - A200 - - - - A289 - - - -

A064 2 3 1 3 A201 - - - - A300 - - -

-

A065 - - - - A202 - - - - A301 - - - -

A066 - - - - A203 - - - - A302 - - - -

A067 - - - - A207 1 1 - 1 A303 - - - -

A068 - - - - A208 - - - - A304 - - - -

- 2 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

A305 - - - - A415 857 3842 2988 3870 A519 - - - -

A308 - - - - A418 149 659 511 664 A520 2 2 1 2

A309 2 11 9 11 A419 27386 127199 99889 128495 A521 5 18 14 18

A310 169 570 401 759 A420 5 8 4 7 A522 - - - -

A311 - 1 1 1 A421 - - - - A523 11 59 48 59

A318 5 9 4 10 A422 - - - - A527 - - - -

A319 45 132 88 162 A427 3 3 - 2 A528 1 3 2 3

A320 - - - - A428 - 1 1 1 A529 3 11 8 11

A321 25 38 13 38 A429 - 7 7 10 A530 2 13 11 13

A327 13 22 11 22 A430 46 72 26 58 A539 2 34 32 35

A328 1 1 - 1 A431 - 1 1 1 A540 - - - -

A329 3 13 10 15 A438 4 13 9 13 A541 - - - -

A33 - - - - A439 22 50 29 64 A542 1 1 - 1

A34 - - - - A440 - - - - A543 - - - -

A35 7 8 1 8 A441 - - - - A544 - - - -

A360 - - - - A448 - - - - A545 - - - -

A361 - - - - A449 1 1 - 1 A546 - - - -

A362 - - - - A46 3 8 5 8 A548 8 12 4 11

A363 - - - - A480 34 87 53 87 A549 - 1 1 2

A368 - 1 1 1 A481 78 112 34 112 A55 - - - -

A369 1 1 - 1 A482 - 1 1 1 A560 - - - -

A370 - 1 1 1 A483 55 73 18 73 A561 - - - -

A371 - - - - A484 - - - - A562 - - - -

A378 - - - - A488 11 23 12 23 A563 - - - -

A379 7 13 6 13 A490 362 937 580 1136 A564 - - - -

A38 2 2 - 2 A491 113 247 136 337 A568 - - - -

A390 67 72 6 71 A492 6 22 16 28 A57 - - - -

A391 43 48 6 49 A493 3 6 3 7 A58 - - - -

A392 10 3 - 2 A498 156 452 298 593 A590 - - - -

A393 - - - - A499 620 1803 1189 2279 A598 - - - -

A394 104 110 6 127 A500 1 - - - A599 - - - -

A395 - - - - A501 1 1 - 1 A600 - 5 5 5

A398 1 3 3 3 A502 - - - - A601 - - - -

A399 2 14 12 18 A503 - - - - A609 - - - -

A400 32 54 22 54 A504 - - - - A630 - 5 5 5

A401 24 49 25 49 A505 2 2 - 2 A638 - - - -

A402 211 835 625 843 A506 - - - - A64 5 11 6 11

A403 306 809 505 814 A507 - - - - A65 - - - -

A408 27 43 17 44 A509 3 12 9 12 A660 - - - -

A409 163 474 313 480 A510 - - - - A661 - - - -

A410 666 2307 1642 2318 A511 - - - - A662 - - -

-

A411 23 87 64 90 A512 - - - - A663 - - - -

A412 759 2688 1933 2702 A513 - 1 1 1 A664 - - - -

A413 9 30 21 30 A514 - - - - A665 - - - -

A414 68 198 131 200 A515 - - - - A666 - - - -

- 3 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

A667 - - - - A810 251 264 13 264 A931 - - - -

A668 - - - - A811 5 9 4 9 A932 - - - -

A669 - - - - A812 34 260 226 260 A938 - - - -

A670 - - - - A818 - - - - A94 - - - -

A671 - - - - A819 1 1 - 1 A950 - - - -

A672 - - - - A820 - - - - A951 - - - -

A673 - - - - A821 - - - - A959 1 1 - 1

A679 - - - - A829 - - - - A960 - - - -

A680 - - - - A830 - - - - A961 - - - -

A681 - - - - A831 - - - - A962 - - - -

A689 - - - - A832 - - - - A968 - - - -

A690 1 3 2 3 A833 2 2 - 2 A969 - - - -

A691 - - - - A834 - - - - A980 - - - -

A692 7 26 19 26 A835 1 1 - 1 A981 - - - -

A698 - - - - A836 - - - - A982 - - - -

A699 1 1 - 1 A838 - - - - A983 - - - -

A70 - - - - A839 - - - - A984 - - - -

A710 - - - - A840 - - - - A985 1 1 - 1

A711 - - - - A841 - - - - A988 - - - -

A719 - - - - A848 - - - - A99 - - - -

A740 1 1 - 1 A849 - - - - B000 - - - -

A748 1 1 - 1 A850 - - - - B001 - 3 3 3

A749 - 1 1 1 A851 - - - - B002 - 6 6 6

A750 - - - - A852 - - - - B003 1 2 1 2

A751 - - - - A858 8 9 1 9 B004 88 116 32 113

A752 - - - - A86 90 125 35 125 B005 - 3 3 3

A753 - - - - A870 - - - - B007 13 20 8 19

A759 - - - - A871 4 5 1 5 B008 11 48 37 48

A770 5 6 1 6 A872 7 12 5 12 B009 32 145 113 150

A771 - - - - A878 - - - - B010 1 1 - -

A772 - - - - A879 26 39 13 39 B011 2 5 4 3

A773 - - - - A880 - - - - B012 19 16 2 10

A778 1 1 - 1 A881 - - - - B018 3 3 - 3

A779 - - - - A888 - - - - B019 23 50 27 59

A78 - - - - A89 11 16 5 17 B020 14 20 7 14

A790 - - - - A90 - - - - B021 3 2 - 1

A791 - - - - A91 - - - - B022 22 121 99 120

A798 1 1 - 1 A920 - - - - B023 2 8 7 8

A799 2 2 - 2 A921 - - - - B027 21 43 22 43

A800 - - - - A922 - - - - B028 5 12 7 12

A801 - - - - A923 - - - - B029 85 375 290

392

A802 - - - - A924 - - - - B03 - - - -

A803 - 1 1 1 A928 - - - - B04 - - - -

A804 - - - - A929 - - - - B050 - 2 2 2

A809 - 1 1 1 A930 - - - - B051 - - - -

- 4 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

B052 1 1 - 1 B211 25 15 - - B344 - - - -

B053 - - - - B212 559 1 - 1 B348 51 76 25 76

B054 - - - - B213 71 - - - B349 366 592 228 639

B058 - - - - B217 44 - - - B350 - - - -

B059 1 1 - 1 B218 226 - - - B351 - 2 2 2

B060 - - - - B219 53 52 28 - B352 - - - -

B068 - - - - B220 213 141 94 27 B353 - 2 2 2

B069 - - - - B221 - 1 1 1 B354 - - - -

B07 - 3 3 3 B222 294 465 287 38 B355 - - - -

B080 - - - - B227 1101 1 - 1 B356 - - - -

B081 - 2 2 2 B230 1 1 - 1 B358 - 1 1 1

B082 - - - - B231 2 3 2 - B359 - - - -

B083 - - - - B232 296 - - - B360 - - - -

B084 - - - - B238 3134 - - - B361 - - - -

B085 - - - - B24 2713 14185 11481 16053 B362 - - - -

B088 - 12 12 12 B250 40 121 85 139 B363 - - - -

B09 - - - - B251 1 5 4 6 B368 - - - -

B150 8 8 - - B252 - - - - B369 2 7 5 7

B159 126 261 135 269 B258 21 155 134 209 B370 8 61 53 68

B160 - - - - B259 42 236 194 319 B371 34 86 54 85

B161 1 2 1 2 B260 - 1 1 1 B372 - 2 2 1

B162 41 49 10 1 B261 - - - - B373 - 1 1 1

B169 661 1663 1002 1711 B262 - - - - B374 16 43 27 44

B170 - - - - B263 - - - - B375 1 3 2 4

B171 3181 6928 3749 6929 B268 - - - - B376 12 15 3 15

B172 2 3 1 3 B269 1 3 2 3 B377 290 649 375 643

B178 7 13 6 15 B270 13 29 16 29 B378 68 248 183 273

B180 - - - - B271 - - - - B379 34 223 189 263

B181 129 269 140 269 B278 - 1 1 1 B380 2 8 6 8

B182 582 1008 426 1008 B279 6 10 4 10 B381 1 1 1 1

B188 - - - - B300 - - - - B382 26 43 17 41

B189 6 8 2 9 B301 - - - - B383 1 1 - 1

B190 6 6 - - B302 - - - - B384 10 13 3 13

B199 103 164 62 185 B303 - - - - B387 17 33 16 33

B200 205 344 215 2 B308 - 1 1 1 B388 1 3 2 3

B201 1271 - - - B309 - - - - B389 24 65 41 68

B202 65 151 117 1 B330 - - - - B390 - - - -

B203 642 7 2 7 B331 - - - - B391 - - - -

B204 20 59 50 1 B332 53 64 11 64 B392 8 28 20 17

B205 337 1 - 1 B333 8 38 30 38 B393 - - - -

B206 603 524 180 7 B338 14 16 2 16 B394 - - -

-

B207 1405 2 2 2 B340 11 19 8 19 B395 - - - -

B208 1377 5 4 5 B341 7 9 2 9 B399 27 110 83 123

B209 6 13 10 - B342 - - - - B400 - - - -

B210 139 155 74 2 B343 2 8 6 8 B401 - 1 1 1

- 5 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

B402 11 17 6 17 B482 - 1 1 1 B651 1 1 - -

B403 - - - - B483 - - - - B652 - 1 1 1

B407 9 13 4 13 B484 - 1 1 1 B653 - - - -

B408 2 3 1 3 B487 1 3 2 3 B658 - - - -

B409 24 41 17 41 B488 2 16 14 16 B659 - - - 1

B410 - - - - B49 659 1627 970 1718 B660 - - - -

B417 - - - - B500 2 2 - 2 B661 - - - -

B418 - - - - B508 - - - - B662 - - - -

B419 - - - - B509 - - - 2 B663 - - - -

B420 - - - - B510 - - - - B664 - - - -

B421 - - - - B518 - - - - B665 - - - -

B427 - 1 1 1 B519 - - - - B668 - - - -

B428 - - - - B520 - - - - B669 - - - -

B429 1 1 - 1 B528 - - - - B670 - - - -

B430 - - - - B529 - - - - B671 1 1 - 1

B431 1 1 - 1 B530 - - - - B672 - - - -

B432 - - - - B531 - - - - B673 - - - -

B438 - - - - B538 - - - - B674 - - - -

B439 - - - - B54 5 7 2 7 B675 - - - -

B440 16 33 17 33 B550 - - - - B676 - - - -

B441 197 552 356 472 B551 - - - - B677 - - - -

B442 - 1 1 1 B552 - - - - B678 - 1 1 1

B447 20 86 66 86 B559 - - - - B679 - - - -

B448 13 47 34 47 B560 - - - - B680 - - - -

B449 115 375 260 459 B561 - - - - B681 - - - -

B450 10 34 24 34 B569 - - - - B689 - - - -

B451 109 528 421 528 B570 - - - - B690 5 7 2 7

B452 - - - - B571 - - - - B691 - - - -

B453 - - - - B572 2 2 - 3 B698 - - - -

B457 15 88 73 88 B573 - - - - B699 - 3 3 3

B458 - 3 3 3 B574 1 1 - - B700 - - - -

B459 15 77 63 84 B575 - - - - B701 - - - -

B460 6 14 8 14 B580 - - - - B710 - - - -

B461 7 12 5 12 B581 - - - - B711 - - - -

B462 - 1 1 1 B582 16 186 170 179 B718 - - - -

B463 2 2 - 2 B583 3 18 15 - B719 - - - -

B464 - 5 5 5 B588 1 11 10 11 B72 - - - -

B465 27 76 49 76 B589 9 121 112 146 B73 - - - -

B468 - 1 1 1 B59 244 807 567 1325 B740 - - - -

B469 - 1 1 1 B600 4 4 - 4 B741 - - - -

B470 - - - - B601 1 1 - 1 B742 - - -

-

B471 - - - - B602 1 1 - 1 B743 - - - -

B479 1 12 11 12 B608 - 2 2 2 B744 - - - -

B480 - - - - B64 - - - - B748 - - - -

B481 - - - - B650 - - - - B749 - 1 1 1

- 6 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

B75 - - - - B883 - - - - C059 103 143 42 145

B760 - - - - B888 - - - - C060 38 47 9 47

B761 - - - - B889 - - - - C061 - - - -

B768 - - - - B89 2 2 - 2 C062 29 40 11 40

B769 - 1 1 1 B900 3 3 - 3 C068 2 2 - 2

B770 - 1 1 - B901 2 3 1 3 C069 844 1089 247 1127

B778 - - - - B902 3 4 1 4 C07 491 575 86 577

B779 - - - 1 B908 24 31 7 31 C080 42 47 5 47

B780 - 2 2 2 B909 157 346 189 346 C081 - - - -

B781 - - - - B91 263 860 597 860 C088 - - - -

B787 3 4 2 2 B92 1 1 - 1 C089 123 141 18 145

B789 2 8 6 10 B940 - - - - C090 14 24 10 24

B79 - - - - B941 8 11 3 11 C091 4 4 - 4

B80 - - - - B942 326 1106 781 1107 C098 - - - -

B810 - - - - B948 990 1587 600 1590 C099 525 675 150 675

B811 1 1 - 1 B949 4 6 2 6 C100 3 6 3 6

B812 - - - - B99 92 679 589 1079 C101 - - - -

B813 - - - - C000 - 2 2 2 C102 - - - -

B814 - - - - C001 9 12 3 12 C103 - - - -

B818 - - - - C002 - - - - C104 - 1 1 1

B820 - - - - C003 - - - - C108 1 1 - 1

B829 - 1 1 1 C004 - - - - C109 596 683 88 688

B830 - 1 1 1 C005 - - - - C110 - - - -

B831 - - - - C006 - - - - C111 14 20 6 20

B832 1 1 - 1 C008 - - - - C112 - - - -

B833 - - - - C009 43 79 36 79 C113 1 1 - 1

B834 - - - - C01 123 154 31 154 C118 - - - -

B838 - - - - C020 1 1 - 1 C119 623 699 76 699

B839 - - - - C021 - - - - C12 149 185 37 186

B850 - - - - C022 - 2 2 2 C130 1 1 - 1

B851 - - - - C023 - - - - C131 1 1 - 1

B852 - - - - C024 1 3 2 3 C132 1 1 - 1

B853 - - - - C028 - - - - C138 - - - -

B854 - - - - C029 1613 2057 446 2059 C139 233 287 54 287

B86 1 3 2 3 C030 36 52 16 52 C140 1479 2065 588 2099

B870 - - - - C031 8 13 5 13 C142 - - - -

B871 - - - - C039 52 68 17 68 C148 - - - -

B872 - - - - C040 1 1 - 1 C150 11 11 - 11

B873 - - - - C041 - - - - C151 1 1 - 1

B874 - - - - C048 - - - - C152 - - - -

B878 - - - - C049 179 230 51 230 C153 11 13 2

13

B879 - - - - C050 28 38 10 38 C154 3 3 - 3

B880 - - - - C051 69 95 26 95 C155 80 88 9 95

B881 - - - - C052 6 14 8 14 C158 1 1 - 1

B882 - - - - C058 - - - - C159 11811 12986 1196 13143

- 7 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

C160 752 828 77 692 C252 21 24 4 25 C408 - - - -

C161 5 5 - 5 C253 10 12 2 12 C409 - 1 1 1

C162 1 1 - 1 C254 158 169 11 169 C410 46 64 18 64

C163 7 8 1 8 C257 - - - - C411 123 154 31 154

C164 7 11 4 11 C258 1 1 - 1 C412 84 113 29 113

C165 1 1 - 1 C259 28691 30102 1482 30177 C413 12 16 4 16

C166 - - - - C260 529 667 144 694 C414 74 89 15 89

C168 - - - - C261 18 28 10 28 C418 1 1 - 1

C169 11938 13227 1318 13400 C268 1 2 1 2 C419 813 949 138 961

C170 484 568 84 568 C269 1018 582 74 599 C430 3 3 - 3

C171 45 56 11 56 C300 47 57 10 57 C431 2 2 - 2

C172 39 55 16 55 C301 7 12 5 12 C432 22 27 5 27

C173 - - - - C310 180 211 32 212 C433 80 110 30 111

C178 1 1 - 1 C311 30 35 5 35 C434 89 96 8 97

C179 468 524 59 535 C312 3 5 2 5 C435 227 241 15 242

C180 476 616 142 618 C313 18 20 2 20 C436 116 135 19 135

C181 211 236 25 236 C318 - - - - C437 143 165 22 165

C182 519 641 122 641 C319 171 223 53 224 C438 1 1 - 1

C183 14 18 5 19 C320 67 124 57 124 C439 6532 7222 711 7488

C184 85 105 20 105 C321 180 230 50 230 C440 4 8 4 8

C185 9 12 3 12 C322 11 12 1 12 C441 9 19 10 19

C186 131 163 32 163 C323 3 3 - 3 C442 103 174 71 174

C187 608 762 156 775 C328 1 1 - 1 C443 227 415 188 420

C188 1 1 - 1 C329 3553 4905 1361 4930 C444 1020 1302 285 1305

C189 46379 55506 9227 55886 C33 93 131 38 131 C445 48 63 16 64

C19 1808 1986 181 1806 C340 71 75 4 75 C446 38 66 28 66

C20 6452 7575 1137 7767 C341 883 1041 160 1043 C447 42 63 21 63

C210 357 438 81 438 C342 53 75 22 75 C448 - - - -

C211 32 41 9 41 C343 347 418 72 419 C449 824 1293 489 1347

C212 22 27 5 27 C348 6 7 1 7 C450 227 252 25 252

C218 51 46 7 47 C349 150703 160597 10159 160910 C451 83 92 9 92

C220 5112 5696 589 5701 C37 139 171 32 171 C452 5 8 3 8

C221 2552 2706 158 2711 C380 65 108 43 108 C457 381 420 39 420

C222 35 35 1 36 C381 1 1 - 1 C459 1647 1730 108 1751

C223 3 4 1 4 C382 - - - - C460 - 2 2 4

C224 3 4 1 4 C383 141 163 22 163 C461 - - - -

C227 - - - - C384 99 120 21 120 C462 - - - -

C229 4677 5350 676 5368 C388 - - - - C463 - - - -

C23 2059 2224 169 2228 C390 4 5 1 5 C467 5 29 24 57

C240 738 838 104 842 C398 - - - - C468 - - - -

C241 193 226 33 226 C399 38 10 2 11 C469 37 211 175

334

C248 1 1 - 1 C400 17 22 5 22 C470 3 4 1 4

C249 599 613 63 640 C401 1 1 - 1 C471 2 3 1 3

C250 192 210 20 212 C402 51 63 12 63 C472 4 5 1 5

C251 9 13 4 13 C403 2 3 1 3 C473 5 6 1 6

- 8 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

C474 2 4 2 4 C570 179 201 22 201 C694 2 4 2 4

C475 6 6 - 6 C571 - - - - C695 14 15 1 15

C476 1 2 1 2 C572 1 2 1 2 C696 36 63 27 63

C478 - - - - C573 - - - - C698 - - - -

C479 113 127 15 130 C574 1 2 1 2 C699 139 208 69 209

C480 220 262 42 262 C577 21 26 5 26 C700 12 17 5 17

C481 36 51 15 51 C578 3 4 1 4 C701 2 3 1 3

C482 393 443 51 445 C579 203 66 12 67 C709 138 209 71 209

C488 1 1 - 1 C58 9 11 2 11 C710 235 257 22 257

C490 76 96 20 96 C600 1 1 - 1 C711 141 155 14 155

C491 51 58 7 58 C601 1 1 - 1 C712 101 111 11 112

C492 218 268 50 268 C602 - - - - C713 68 75 7 75

C493 73 104 31 104 C608 - - - - C714 17 19 2 19

C494 233 260 27 260 C609 200 266 68 268 C715 16 19 3 19

C495 118 144 26 144 C61 31729 45433 13756 45484 C716 166 192 26 192

C496 12 15 3 15 C620 1 1 - 1 C717 240 259 19 259

C498 3 3 - 3 C621 - - - - C718 41 42 1 42

C499 2694 3055 376 3110 C629 377 459 83 460 C719 11459 11948 524 11996

C500 8 18 10 18 C630 1 1 - 1 C720 49 62 13 62

C501 1 1 - 1 C631 8 9 1 9 C721 1 1 - 1

C502 - - - - C632 13 14 1 14 C722 - - - -

C503 - - - - C637 3 3 - 3 C723 9 10 1 10

C504 2 2 - 2 C638 - - - - C724 - - - -

C505 - - - - C639 16 17 6 19 C725 3 4 1 4

C506 - - - - C64 10933 12866 1944 12877 C728 - - - -

C508 - - - - C65 183 202 19 202 C729 67 77 21 83

C509 41517 51148 9699 51219 C66 345 443 98 443 C73 1241 1522 286 1527

C510 13 16 3 16 C670 - - - - C740 71 74 3 74

C511 - - - - C671 - - - - C741 29 35 6 35

C512 1 1 - 1 C672 - - - - C749 473 559 87 561

C518 - - - - C673 - - - - C750 15 18 3 18

C519 748 913 166 914 C674 - - - - C751 30 44 14 44

C52 403 502 101 504 C675 4 5 1 5 C752 2 2 - 2

C530 34 40 6 40 C676 1 3 2 3 C753 15 20 5 20

C531 - - - - C677 14 14 - 14 C754 1 1 - 1

C538 - - - - C678 - - - - C755 16 17 1 17

C539 4171 4746 583 4755 C679 11892 15892 4022 15914 C758 - - - -

C540 - - - - C680 134 180 46 180 C759 114 123 10 124

C541 3088 3628 549 3637 C681 - - - - C760 2024 2462 438 2462

C542 1 1 - 1 C688 1 1 - 1 C761 94 146 52 146

C543 1 1 - 1 C689 160 48 11 62 C762 1067 1568 502

1569

C548 - - - - C690 1 2 1 2 C763 269 350 81 350

C549 31 35 4 37 C691 - 2 2 2 C764 11 16 5 16

C55 3347 4088 749 4173 C692 25 38 14 39 C765 41 71 30 71

C56 13627 14757 1161 14789 C693 10 18 8 18 C767 112 149 37 149

- 9 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

C768 2 4 2 4 C836 14 15 1 15 C941 6 6 - 6

C770 6 83 77 83 C837 167 191 24 206 C942 18 20 2 20

C771 3 74 71 74 C838 262 286 24 286 C943 - - - -

C772 3 83 80 83 C839 63 68 5 70 C944 - 1 1 1

C773 - 11 11 11 C840 102 144 42 144 C945 6 6 - 6

C774 1 13 12 13 C841 20 27 7 27 C947 31 41 10 41

C775 1 11 10 11 C842 2 5 3 5 C950 2604 2845 249 2977

C778 1 1 1 1 C843 3 3 - 3 C951 202 326 124 328

C779 28 992 964 994 C844 34 38 4 38 C952 1 3 2 3

C780 764 20255 19493 20256 C845 477 558 82 559 C957 4 4 - 4

C781 23 475 452 475 C850 61 75 14 75 C959 2404 3186 790 3356

C782 138 1861 1724 1862 C851 456 593 137 593 C960 - - - -

C783 2 172 170 172 C857 14 22 8 22 C961 7 8 1 8

C784 - 128 128 128 C859 18755 23066 4340 23320 C962 2 3 1 3

C785 42 2409 2367 2409 C880 441 646 205 646 C963 - - - -

C786 314 1670 1356 1670 C881 - - - - C967 3 3 - 3

C787 2668 23612 20950 23618 C882 - - - - C969 71 111 40 142

C788 36 1510 1474 1510 C883 - - - - C97 4901 6 4 6

C790 316 967 651 967 C887 - - - - D000 - 1 1 1

C791 13 609 596 609 C889 10 11 1 11 D001 - - - -

C792 39 497 458 497 C900 10433 12312 1897 12330 D002 2 3 1 3

C793 831 17272 16444 17275 C901 57 93 36 93 D010 1 8 7 8

C794 12 800 788 800 C902 75 140 65 140 D011 - 2 2 2

C795 497 12410 11914 12411 C910 1361 1467 108 1494 D012 - 3 3 3

C796 9 357 348 357 C911 4476 6666 2200 6676 D013 - 1 1 1

C797 3 651 648 651 C912 - - - - D014 - 1 1 1

C798 1116 9352 8239 9356 C913 97 128 31 128 D015 - - - -

C80 28463 29127 3145 64169 C914 105 167 63 168 D017 - - - -

C810 - - - - C915 18 26 8 26 D019 - - - -

C811 9 12 3 12 C917 - - - - D020 - 1 1 1

C812 5 6 1 6 C919 195 265 70 271 D021 1 1 - 1

C813 2 3 1 3 C920 6581 7020 448 7135 D022 1 2 1 2

C817 - - - - C921 1788 2188 401 2189 D023 - - - -

C819 1387 1919 535 1922 C922 - - - - D024 - - - -

C820 27 31 4 31 C923 19 22 3 22 D030 - - - -

C821 22 22 - 22 C924 129 140 11 140 D031 - - - -

C822 21 25 4 25 C925 181 209 28 209 D032 - - - -

C827 5 7 2 7 C927 356 422 66 422 D033 1 1 - 1

C829 115 137 22 137 C929 230 277 47 284 D034 - 2 2 2

C830 286 361 76 379 C930 136 148 12 149 D035 2 7 5 7

C831 112 122 10 122 C931 18 31 13 31 D036 - - -

-

C832 51 54 4 38 C932 - 2 2 2 D037 1 5 4 5

C833 1564 1806 244 1825 C937 1 1 - 1 D038 2 3 1 3

C834 94 114 20 114 C939 24 33 9 33 D039 1 4 3 4

C835 75 87 12 87 C940 23 27 4 27 D040 - - - -

- 10 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

D041 - - - - D123 1 1 - 1 D180 55 100 45 100

D042 - - - - D124 - - - - D181 38 80 42 80

D043 1 1 - 1 D125 - 2 2 2 D190 - - - -

D044 - 1 1 1 D126 52 366 314 368 D191 - - - -

D045 - - - - D127 - 1 1 1 D197 - - - -

D046 - - - - D128 - 4 4 4 D199 - - - -

D047 - 1 1 1 D129 - 1 1 1 D200 1 1 - 1

D048 - - - - D130 1 3 2 3 D201 - 1 1 1

D049 - 3 3 3 D131 16 46 30 46 D210 2 3 1 3

D050 1 1 - 1 D132 3 7 4 7 D211 - 1 1 1

D051 - 3 3 3 D133 1 3 2 3 D212 1 1 - 1

D057 - - - - D134 2 4 2 4 D213 - - - -

D059 2 10 8 10 D135 3 8 5 8 D214 - 2 2 2

D060 - - - - D136 5 14 9 14 D215 - - - -

D061 - - - - D137 32 51 19 51 D216 - - - -

D067 - - - - D139 1 2 1 2 D219 16 43 27 43

D069 - 3 3 3 D140 1 3 2 3 D220 - - - -

D070 - - - - D141 4 7 3 7 D221 - - - -

D071 - 1 1 1 D142 - - - - D222 - - - -

D072 - - - - D143 6 14 8 14 D223 - - - -

D073 1 4 3 4 D144 - 1 1 1 D224 - - - -

D074 - - - - D150 40 66 26 66 D225 - - - -

D075 1 3 2 3 D151 50 94 44 94 D226 - - - -

D076 - - - - D152 2 2 - 2 D227 - - - -

D090 - - - - D157 1 1 - 1 D229 2 2 - 2

D091 - - - - D159 - - - - D230 - - - -

D092 - - - - D160 - - - - D231 1 2 1 2

D093 - - - - D161 - - - - D232 - - - -

D097 - 2 2 2 D162 - - - - D233 - - - -

D099 1 2 1 2 D163 - - - - D234 - - - -

D100 - - - - D164 2 4 2 4 D235 2 4 2 4

D101 - - - - D165 2 7 5 7 D236 1 1 - 1

D102 - - - - D166 2 4 2 4 D237 3 4 1 4

D103 - - - - D167 - - - - D239 18 33 15 34

D104 - - - - D168 - - - - D24 1 1 - 1

D105 - - - - D169 2 3 1 3 D250 - - - -

D106 - - - - D170 1 1 - 1 D251 - - - -

D107 - - - - D171 - - - - D252 - - - -

D109 - 3 3 3 D172 - - - - D259 17 59 42 59

D110 1 6 5 6 D173 - - - - D260 1 1 - 1

D117 - - - - D174 - - - - D261 - - -

-

D119 1 2 1 2 D175 - - - - D267 - - - -

D120 2 6 4 6 D176 - - - - D269 - 2 2 2

D121 1 1 - 1 D177 13 33 20 33 D27 15 39 24 42

D122 2 3 1 3 D179 3 10 7 10 D280 - - - -

- 11 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

D281 - - - - D358 - - - - D434 48 72 24 72

D282 - - - - D359 - - - - D437 - - - -

D287 - - - - D360 - - - - D439 37 44 7 53

D289 - - - - D361 14 33 19 33 D440 6 15 9 16

D290 - - - - D367 8 15 7 15 D441 9 29 20 29

D291 - 4 4 4 D369 12 44 33 46 D442 2 5 3 5

D292 - - - - D370 42 81 39 81 D443 85 202 117 203

D293 - - - - D371 41 72 31 74 D444 58 84 26 84

D294 - - - - D372 28 43 15 44 D445 15 24 9 24

D297 - - - - D373 9 31 22 31 D446 - - - -

D299 - - - - D374 98 155 57 162 D447 6 12 6 12

D300 2 13 11 13 D375 23 48 25 53 D448 3 8 5 8

D301 - - - - D376 173 246 73 252 D449 7 10 3 13

D302 - 1 1 1 D377 185 273 89 274 D45 320 1116 797 1117

D303 1 1 - 1 D379 32 39 7 43 D460 - - - -

D304 - - - - D380 10 24 14 25 D461 8 12 4 12

D307 1 1 - 1 D381 600 902 305 915 D462 15 22 7 22

D309 - - - - D382 5 9 4 9 D463 5 5 - 5

D310 - - - - D383 40 61 21 62 D464 254 439 185 439

D311 - - - - D384 - 2 2 2 D467 11 21 10 21

D312 - - - - D385 12 18 6 18 D469 4159 7376 3227 7546

D313 - - - - D386 3 4 1 5 D470 - - - -

D314 2 2 - 2 D390 26 42 17 43 D471 1449 2602 1155 2604

D315 - - - - D391 43 86 43 91 D472 61 241 180 241

D316 - - - - D392 2 2 - 2 D473 24 70 46 70

D319 - - - - D397 3 7 4 7 D477 18 26 8 26

D320 228 349 121 349 D399 2 2 - 2 D479 97 172 75 214

D321 10 18 8 18 D400 14 24 10 26 D480 34 97 63 99

D329 586 1108 524 1115 D401 1 7 6 7 D481 49 65 16 66

D330 8 10 2 10 D407 1 1 - 1 D482 5 7 2 7

D331 3 5 2 5 D409 1 1 - 1 D483 15 24 9 25

D332 58 92 34 92 D410 74 165 91 171 D484 8 11 3 11

D333 50 97 47 97 D411 1 2 1 2 D485 3 18 15 18

D334 1 1 - 1 D412 2 3 1 3 D486 24 58 34 62

D337 - - - - D413 - 1 1 1 D487 232 448 218 454

D339 1 5 4 5 D414 77 212 135 221 D489 157 275 120 866

D34 2 18 16 18 D417 - - - - D500 54 427 378 425

D350 28 91 63 91 D419 - 1 1 1 D501 - 2 2 2

D351 7 29 22 29 D420 1 3 2 3 D508 12 103 91 103

D352 88 225 137 225 D421 1 1 - 1 D509 52 741 690 739

D353 - - - - D429 6 9 3 10 D510 88 1122 1037

1123

D354 - - - - D430 171 228 57 229 D511 1 6 5 -

D355 - - - - D431 107 134 27 134 D512 - - - -

D356 - 1 1 1 D432 2609 3120 515 3734 D513 - - - -

D357 - - - - D433 4 4 - 4 D518 - - - -

- 12 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

D519 2 21 20 21 D609 14 32 18 32 D735 32 206 174 206

D520 - - - - D610 22 38 18 36 D738 3 38 35 38

D521 - - - - D611 1 2 2 3 D739 40 117 77 117

D528 - 1 1 1 D612 1 2 1 2 D740 - - - -

D529 8 88 80 88 D613 7 8 1 8 D748 - - - -

D530 28 31 23 - D618 1 1 - 1 D749 1 6 5 6

D531 10 41 31 41 D619 1023 4572 3552 4582 D750 - 1 1 1

D532 - - - - D62 9 66 57 65 D751 5 63 58 63

D538 - 1 1 - D640 - - - - D752 35 165 130 165

D539 32 568 548 73 D641 - 7 7 7 D758 74 544 470 544

D550 - 2 2 2 D642 - - - - D759 50 171 121 222

D551 - - - - D643 71 205 134 205 D760 17 29 12 29

D552 - - - - D644 - 2 2 2 D761 11 14 3 14

D553 - - - - D648 40 100 63 100 D762 4 8 4 8

D558 - - - - D649 2161 34697 32539 36058 D763 23 39 16 39

D559 - - - - D65 663 3865 3202 3865 D800 5 7 2 7

D560 2 4 2 4 D66 78 244 166 244 D801 18 85 67 85

D561 12 42 30 42 D67 3 15 12 15 D802 2 9 7 9

D562 1 1 - 1 D680 13 48 36 49 D803 1 6 5 6

D563 - 3 3 3 D681 1 5 4 5 D804 - - - -

D564 - - - - D682 43 132 89 132 D805 - - - -

D568 - 2 2 1 D683 5 11 6 11 D806 - - - -

D569 5 82 77 83 D684 12 44 32 44 D807 - - - -

D570 113 132 19 132 D688 45 167 122 167 D808 2 4 2 4

D571 388 623 235 668 D689 818 4453 3638 4557 D809 7 13 6 13

D572 2 8 6 8 D690 10 24 14 24 D810 - - - -

D573 6 40 34 40 D691 1 6 5 6 D811 - - - -

D578 - - - - D692 1 32 31 32 D812 - - - -

D580 4 21 17 21 D693 327 836 512 839 D813 - - - -

D581 - 1 1 1 D694 26 68 43 68 D814 - - - -

D582 4 11 7 11 D695 10 125 115 125 D815 1 1 - 1

D588 1 3 2 3 D696 519 4523 4005 4536 D816 1 1 - 1

D589 149 479 331 493 D698 - 5 5 5 D817 - - - -

D590 1 1 - 1 D699 26 193 167 203 D818 - 2 2 2

D591 116 341 225 341 D70 338 2789 2452 2790 D819 20 27 7 27

D592 - - - - D71 12 21 9 21 D820 12 21 10 9

D593 35 93 58 93 D720 - 1 1 1 D821 8 40 32 40

D594 4 135 131 135 D721 26 63 37 63 D822 - - - -

D595 12 21 9 21 D728 41 298 257 298 D823 - 2 2 2

D596 - 2 2 2 D729 - - - - D824 2 2 - 2

D598 - 1 1 1 D730 - 6 6 6 D828 - - -

-

D599 11 31 20 32 D731 82 289 207 289 D829 - - - -

D600 - - - - D732 2 26 24 26 D830 1 1 - 1

D601 - - - - D733 9 42 33 42 D831 - - - -

D608 - - - - D734 1 1 - 1 D832 - 1 1 1

- 13 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

D838 - - - - E058 - 1 1 1 E132 - 1 1 -

D839 11 20 9 20 E059 228 1093 866 1127 E133 - - - -

D840 - - - - E060 - - - - E134 - 1 1 1

D841 38 94 56 94 E061 - - - - E135 1 2 1 1

D848 3 13 10 13 E062 - - - - E136 - 1 1 1

D849 405 990 586 1010 E063 3 41 38 41 E137 - - - -

D860 74 124 51 134 E064 - - - - E138 1 2 1 2

D861 - - - 1 E065 1 21 20 21 E139 12 89 77 93

D862 - - - - E069 3 28 25 29 E140 547 693 188 680

D863 - - - - E070 - - - - E141 1576 1908 552 1762

D868 67 66 13 61 E071 - - - - E142 1273 1639 549 1952

D869 431 883 452 894 E078 1 8 7 8 E143 28 65 43 130

D890 3 15 12 15 E079 29 252 223 263 E144 247 398 214 456

D891 29 80 51 80 E100 52 82 30 4 E145 5496 7153 3431 421

D892 1 25 24 25 E101 235 292 67 8 E146 192 218 146 31

D898 4 8 4 8 E102 232 333 106 9 E147 512 610 201 5

D899 11 26 15 26 E103 12 26 16 - E148 160 191 33 237

E000 - - - - E104 77 143 67 2 E149 39748 137898 98243 148640

E001 - - - - E105 1037 1896 863 2 E15 22 46 31 72

E002 - - - - E106 31 57 34 2 E160 5 13 10 20

E009 - 3 3 3 E107 141 224 96 3 E161 3 15 12 15

E010 - - - - E108 13 14 1 8 E162 180 1320 1140 1334

E011 - - - - E109 6678 17868 11208 20916 E163 - 1 1 1

E012 - - - - E110 89 140 51 1 E168 14 32 18 32

E018 - - - - E111 83 193 118 1 E169 - - - -

E02 - - - - E112 225 356 134 5 E200 - - - -

E030 - - - - E113 9 24 15 1 E201 1 5 4 5

E031 2 11 9 11 E114 68 178 112 - E208 1 2 1 2

E032 - 4 4 4 E115 1068 2555 1491 2 E209 20 122 102 122

E033 - - - - E116 51 115 76 1 E210 2 8 6 8

E034 2 67 65 67 E117 141 211 78 1 E211 - 2 2 2

E035 21 21 3 17 E118 3 21 18 20 E212 - 1 1 1

E038 - 2 2 2 E119 8357 34206 25872 37982 E213 76 425 349 425

E039 1401 16696 15299 16713 E120 - - - - E214 - 1 1 1

E040 - - - - E121 - - - - E215 5 15 10 17

E041 3 21 18 21 E122 - - - - E220 9 53 44 53

E042 8 55 47 59 E123 - - - - E221 2 3 1 3

E048 1 1 - 1 E124 - - - - E222 54 399 345 399

E049 37 238 201 252 E125 - 2 2 - E228 - - - -

E050 47 184 138 179 E126 - - - - E229 - 3 3 3

E051 - - - - E127 - - - - E230 97 497 400

497

E052 8 22 14 15 E128 - - - - E231 - - - -

E053 - - - - E129 4 18 14 20 E232 40 196 156 196

E054 - - - - E130 - - - - E233 5 11 6 11

E055 16 20 4 20 E131 - 3 3 1 E236 11 28 17 28

- 14 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

E237 5 18 13 20 E340 50 103 53 103 E610 - 1 1 1

E240 - - - - E341 - - - - E611 7 125 118 130

E241 1 2 1 2 E342 1 2 1 2 E612 - - - -

E242 3 42 39 42 E343 24 58 34 58 E613 - 1 1 1

E243 5 7 2 7 E344 - - - - E614 - - - -

E244 - - - - E345 - - - - E615 - - - -

E248 - 1 1 1 E348 4 13 9 13 E616 - - - -

E249 25 122 97 124 E349 3 17 14 24 E617 - - - -

E250 6 7 1 7 E40 16 24 8 25 E618 - 1 1 1

E258 - - - - E41 200 1245 1049 525 E619 - 1 1 1

E259 - 1 1 1 E42 1 3 2 2 E630 - - - -

E260 2 6 4 6 E43 389 1110 721 1111 E631 - - - -

E261 - - - - E440 3 9 6 9 E638 - 1 1 1

E268 2 3 1 3 E441 - 6 6 6 E639 151 1113 962 1125

E269 1 15 14 15 E45 87 205 118 1 E640 90 758 668 758

E270 - - - - E46 3289 22781 19508 24251 E641 - - - -

E271 80 377 298 378 E500 1 1 - 1 E642 - - - -

E272 9 36 27 36 E501 - - - - E643 - 1 1 1

E273 1 3 2 3 E502 - - - - E648 5 21 16 21

E274 103 622 520 623 E503 - - - - E649 4 26 22 26

E275 1 3 2 3 E504 - - - - E65 1 1 - 1

E278 4 43 39 43 E505 - - - - E660 54 384 330 384

E279 10 66 56 70 E506 - - - - E661 - 3 3 3

E280 - - - - E507 - - - - E662 100 233 134 234

E281 - - - - E508 1 2 1 2 E668 1446 4839 3393 4839

E282 2 2 - 2 E509 - 1 1 1 E669 999 7593 6595 7679

E283 2 4 2 4 E511 1 3 2 3 E670 - - - -

E288 - - - - E512 14 57 43 57 E671 - 1 1 1

E289 - - - - E518 - - - - E672 - - - -

E290 - - - - E519 - 1 1 2 E673 - - - -

E291 3 19 16 19 E52 - 2 2 2 E678 - - - -

E298 - - - - E530 1 2 1 2 E68 - 1 1 1

E299 - - - - E531 - 1 1 1 E700 - - - -

E300 - - - - E538 23 492 469 492 E701 - 5 5 5

E301 - 1 1 1 E539 - 4 4 4 E702 1 8 7 8

E308 - - - - E54 1 1 - 1 E703 3 8 5 8

E309 - 1 1 1 E550 2 8 6 8 E708 1 1 - 1

E310 4 6 2 6 E559 - 1 1 1 E709 - - - -

E311 - - - - E560 - - - - E710 3 3 - 3

E318 - - - - E561 2 5 3 5 E711 7 11 4 11

E319 - - - - E568 - 1 1 1 E712 - 1 1

1

E320 - 4 4 4 E569 - 11 11 13 E713 27 39 12 39

E321 - - - - E58 - 2 2 2 E720 8 16 9 17

E328 1 3 2 3 E59 1 1 - 1 E721 5 13 8 13

E329 - 3 3 3 E60 - 1 1 2 E722 36 61 25 61

- 15 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

E723 4 5 1 5 E799 - - - - E892 ... 1 1 1

E724 6 14 8 14 E800 - - - - E893 ... 4 4 4

E725 8 13 5 13 E801 - 8 8 8 E894 ... - - -

E728 3 4 1 4 E802 13 34 21 34 E895 ... - - -

E729 - - - - E803 1 1 - 1 E896 ... - - -

E730 1 3 2 3 E804 2 5 3 5 E898 ... 92 92 92

E731 - - - - E805 - - - - E899 ... 4 4 4

E738 - - - - E806 - 1 1 1 F010 - 1 1 1

E739 3 11 8 11 E807 - 1 1 1 F011 58 236 178 236

E740 32 40 8 40 E830 22 31 9 31 F012 1 1 - 1

E741 - - - - E831 238 562 325 563 F013 2 3 1 3

E742 - 1 1 1 E832 - - - - F018 2 3 1 3

E743 21 161 140 161 E833 4 36 32 36 F019 557 1925 1373 1930

E744 9 10 1 10 E834 4 57 53 57 F030 - - - -

E748 8 15 7 15 E835 157 2424 2267 2424 F03 28089 71871 51488 115073

E749 1 1 - 1 E838 - - - - F04 - 8 8 8

E750 21 22 1 22 E839 - - - - F050 - - - -

E751 8 8 - 8 E840 242 98 - 3 F051 1 2 1 2

E752 112 156 44 156 E841 19 14 4 4 F058 - 4 4 4

E753 - - - - E848 24 3 - 3 F059 98 391 296 399

E754 27 30 3 30 E849 200 424 224 530 F060 - - - -

E755 3 12 9 12 E850 6 10 4 10 F061 - - - -

E756 5 28 23 28 E851 5 3 1 1 F062 - 4 4 4

E760 14 15 1 15 E852 1 1 - 1 F063 1 25 24 25

E761 11 13 2 13 E853 82 114 32 114 F064 - - - -

E762 13 16 3 16 E854 401 463 139 366 F065 - - - -

E763 14 18 4 18 E858 16 36 20 36 F066 - - - -

E768 - - - - E859 385 749 366 881 F067 - 7 7 7

E769 - - - - E86 4943 31110 26183 31129 F068 2 4 2 4

E770 7 7 - 7 E870 557 2018 1464 2021 F069 2337 10462 8131 10489

E771 1 1 - 1 E871 222 1737 1516 1738 F070 - 5 5 5

E778 44 260 216 260 E872 901 7420 6520 8280 F071 1 2 1 2

E779 - - - - E873 7 60 53 60 F072 2 11 9 11

E780 1353 5670 4324 5704 E874 4 15 11 15 F078 - - - -

E781 44 102 59 130 E875 370 4871 4502 4872 F079 1 10 9 10

E782 14 48 34 21 E876 146 989 843 989 F09 12 454 448 1188

E783 1 3 2 3 E877 58 401 343 401 F100 585 2674 2102 3986

E784 6 17 11 17 E878 955 4810 3865 4844 F101 1499 5727 4235 8681

E785 2261 9372 7114 9374 E880 258 1135 879 1137 F102 3340 10585 7251 12932

E786 7 29 22 29 E881 1 6 5 6 F103 91 251 160 293

E788 - 1 1 1 E882 - 6 6 6 F104 99 226 127

262

E789 113 486 373 492 E888 24 119 95 119 F105 1 - - 1

E790 7 74 67 74 E889 326 1359 1035 2082 F106 22 94 72 104

E791 7 9 2 9 E890 ... 5 5 5 F107 151 281 176 149

E798 - - - - E891 ... 1 1 1 F108 2 3 1 2

- 16 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

F109 367 2639 2274 4657 F154 - - - - F199 96 1248 1152 1320

F110 - 3 3 3 F155 - - - - F200 28 339 311 339

F111 122 398 276 398 F156 - - - - F201 - 2 2 2

F112 83 191 108 191 F157 - - - - F202 18 52 34 52

F113 1 5 4 5 F158 - - - - F203 2 14 12 14

F114 - - - - F159 8 62 54 62 F204 2 2 - -

F115 - - - - F160 - 3 3 3 F205 47 374 327 374

F116 - - - - F161 3 10 7 10 F206 125 223 100 225

F117 - - - - F162 - 1 1 1 F208 - 3 3 3

F118 - - - - F163 - - - - F209 259 2401 2142 2411

F119 45 223 178 242 F164 - - - - F21 1 1 - 1

F120 - 4 4 4 F165 - - - - F220 22 254 232 254

F121 1 29 28 29 F166 - - - - F228 - - - -

F122 2 13 11 13 F167 - - - - F229 - - - -

F123 - - - - F168 - - - - F230 - - - -

F124 - - - - F169 - 1 1 1 F231 - - - -

F125 - - - - F170 - 15 15 19 F232 - 4 4 4

F126 - - - - F171 139 4836 4698 7116 F233 - 2 2 2

F127 - - - - F172 70 4375 4306 5200 F238 - - - -

F128 - - - - F173 - - - 1 F239 5 20 15 20

F129 2 27 25 28 F174 1 1 - - F24 - 1 1 1

F130 - 1 1 1 F175 - - - - F250 1 1 - 1

F131 1 24 23 24 F176 - - - - F251 - - - -

F132 1 13 12 13 F177 1 - - - F252 - 4 4 4

F133 - - - - F178 - 1 1 1 F258 - 3 3 3

F134 - - - - F179 319 13877 13559 19296 F259 15 233 218 233

F135 - - - - F180 - - - - F28 - 2 2 2

F136 - - - - F181 2 9 7 9 F29 32 141 117 233

F137 - - - - F182 - - - - F300 - - - -

F138 - - - - F183 - - - - F301 - - - -

F139 1 15 14 17 F184 - - - - F302 1 3 2 3

F140 13 26 13 27 F185 - - - - F308 - - - -

F141 288 861 573 861 F186 - - - - F309 3 11 9 11

F142 43 110 67 110 F187 - - - - F310 - - - -

F143 - 1 1 1 F188 - 1 1 1 F311 2 12 10 12

F144 2 3 1 - F189 - 1 1 1 F312 - 1 1 1

F145 4 6 2 6 F190 2 9 7 9 F313 - 1 1 1

F146 - - - - F191 799 4038 3239 4038 F314 - - - -

F147 - - - - F192 299 517 218 517 F315 - - - -

F148 - - - - F193 2 10 8 10 F316 - - - -

F149 94 561 467 591 F194 - - - - F317 - - -

-

F150 - - - - F195 - - - - F318 5 48 43 48

F151 15 76 61 76 F196 - - - - F319 44 690 646 691

F152 3 19 16 19 F197 - - - - F320 - 11 11 11

F153 - - - - F198 - - - - F321 - - - -

- 17 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

F322 69 483 414 483 F445 1 1 - 1 F539 - - - -

F323 11 48 38 48 F446 1 1 - 1 F54 89 174 135 -

F328 7 22 15 22 F447 - - - - F55 3 56 53 56

F329 673 11357 10687 11600 F448 2 13 11 13 F59 1 4 3 4

F330 - - - - F449 1 5 4 5 F600 - 3 3 3

F331 - - - - F450 - 6 6 6 F601 1 3 2 3

F332 2 17 15 17 F451 - - - - F602 - 1 1 1

F333 - - - - F452 - - - - F603 - 7 7 7

F334 - - - - F453 7 47 40 47 F604 - - - -

F338 - 1 1 1 F454 - - - - F605 - 7 7 7

F339 10 121 111 121 F458 2 16 14 16 F606 - - - -

F340 18 425 407 425 F459 1 2 1 2 F607 - - - -

F341 1 17 16 17 F480 - 7 7 7 F608 - 4 4 4

F348 - - - - F481 - - - - F609 1 44 43 44

F349 2 9 7 9 F488 1 5 4 5 F61 - 1 1 1

F380 - - - - F489 7 41 34 48 F620 - - - -

F381 - - - - F500 59 106 47 106 F621 - - - -

F388 - 2 2 2 F501 - - - - F628 - 2 2 2

F39 2 28 26 34 F502 7 41 34 41 F629 - - - -

F400 - 5 5 5 F503 - - - - F630 1 1 - 1

F401 - - - - F504 - - - - F631 - - - -

F402 - - - - F505 - 1 1 1 F632 - - - -

F408 - - - - F508 183 664 482 665 F633 - - - -

F409 - 1 1 1 F509 7 33 26 36 F638 - - - -

F410 1 52 51 52 F510 - - - - F639 - 2 2 2

F411 2 55 53 55 F511 - - - - F640 - - - -

F412 13 268 257 29 F512 - - - - F641 - - - -

F413 - - - - F513 - 1 1 1 F642 - - - -

F418 - 2 2 2 F514 - - - - F648 - - - -

F419 22 885 864 1131 F515 - - - - F649 - - - -

F420 - 1 1 1 F518 - - - - F650 - - - -

F421 - - - - F519 - - - - F651 - - - -

F422 - - - - F520 - - - - F652 - - - -

F428 - - - - F521 - 2 2 2 F653 - - - -

F429 5 45 40 45 F522 - 3 3 3 F654 - - - -

F430 - 6 6 6 F523 - - - - F655 - - - -

F431 10 117 107 117 F524 - - - - F656 - - - -

F432 13 52 39 52 F525 - - - - F658 - 2 2 2

F438 - 1 1 1 F526 - - - - F659 - 1 1 1

F439 8 75 67 75 F527 - - - - F660 - - - -

F440 - - - - F528 - - - - F661 - - -

-

F441 - - - - F529 - - - - F662 - - - -

F442 - - - - F530 - 3 3 3 F668 - - - -

F443 - - - - F531 - - - - F669 1 3 2 3

F444 - - - - F538 - - - - F680 - - - -

- 18 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

F681 - 2 2 2 F929 - - - - G062 52 148 96 148

F688 - - - - F930 - - - - G08 16 47 31 47

F69 1 8 7 8 F931 - - - - G09 108 168 60 168

F70 1 25 24 25 F932 - - - - G10 596 780 187 783

F71 1 13 12 13 F933 - - - - G110 1 2 1 2

F72 67 246 180 247 F938 - - - - G111 69 109 40 109

F73 54 179 125 179 F939 - - - - G112 1 2 1 2

F78 3 3 - 3 F940 - - - - G113 6 7 3 7

F79 321 1885 1565 1889 F941 - - - - G114 4 9 5 9

F800 - - - - F942 - - - - G118 1 1 - 1

F801 - 1 1 1 F948 - - - - G119 44 131 88 134

F802 - 2 2 2 F949 - - - - G120 62 69 7 69

F803 - 1 1 1 F950 - - - - G121 13 14 1 14

F808 - - - - F951 - - - - G122 5127 5876 759 5886

F809 - 1 1 1 F952 - 7 7 7 G128 2 2 - 2

F810 - - - - F958 - 1 1 1 G129 100 108 9 118

F811 - - - - F959 - 1 1 1 G20 14511 31092 16602 31127

F812 1 1 - 1 F980 - - - - G210 10 15 5 15

F813 - - - - F981 - - - - G211 1 9 8 9

F818 - - - - F982 - 6 6 6 G212 1 1 - 1

F819 - 2 2 2 F983 - - - - G213 - - - -

F82 2 36 34 36 F984 - - - - G218 39 4 - 1

F83 - - - - F985 - - - - G219 31 144 113 146

F840 3 27 24 27 F986 - - - - G230 7 8 1 8

F841 - - - - F988 1 4 3 4 G231 4 6 2 6

F842 7 14 7 14 F989 1 1 - 1 G232 15 21 6 21

F843 - - - - F99 15 179 166 364 G238 117 150 33 150

F844 - - - - G000 5 8 3 8 G239 19 41 22 43

F845 - 2 2 2 G001 146 247 102 248 G240 2 3 1 3

F848 - - - - G002 88 138 50 138 G241 3 5 2 5

F849 - - - - G003 19 47 28 47 G242 - - - -

F88 - 1 1 1 G008 26 55 29 55 G243 - 2 2 2

F89 3 14 11 14 G009 189 315 126 318 G244 32 161 129 161

F900 1 8 7 8 G030 14 36 22 37 G245 - 1 1 1

F901 - - - - G031 10 17 7 18 G248 3 14 11 14

F908 - - - - G032 1 1 - 1 G249 16 68 52 68

F909 3 12 9 12 G038 1 3 2 3 G250 2 89 87 89

F910 - - - - G039 351 1248 899 1264 G251 - 1 1 1

F911 - - - - G040 5 6 1 6 G252 2 11 9 11

F912 - - - - G041 - - - - G253 11 42 31 42

F913 1 1 - 1 G042 2 7 5 7 G254 - - -

-

F918 - 2 2 2 G048 12 30 18 30 G255 10 36 26 36

F919 2 21 19 21 G049 251 738 488 761 G256 - - - -

F920 - - - - G060 99 284 185 284 G258 11 34 23 34

F928 - 1 1 1 G061 23 49 27 50 G259 25 62 37 66

- 19 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

G300 7 16 9 16 G442 - 1 1 1 G549 - 3 3 3

G301 1846 3101 1360 3107 G443 - - - - G560 1 12 11 12

G308 8 17 9 17 G444 - - - - G561 - - - -

G309 42675 75553 32958 75641 G448 - - - - G562 - - - -

G310 107 158 51 158 G450 37 137 100 137 G563 1 3 2 3

G311 34 57 27 57 G451 3 29 26 29 G564 - 2 2 2

G312 105 151 75 145 G452 - - - - G568 - 2 2 2

G318 95 180 85 180 G453 - - - - G569 - - - -

G319 800 1834 1035 1984 G454 - 2 2 2 G570 - - - -

G35 2651 4207 1563 4214 G458 - 9 9 9 G571 - - - -

G360 3 4 1 4 G459 277 2655 2378 2659 G572 - - - -

G361 1 1 - 1 G470 3 40 37 40 G573 - 2 2 2

G368 - - - - G471 1 3 2 3 G574 - - - -

G369 - - - - G472 - - - - G575 - - - -

G370 1 2 1 2 G473 343 2725 2383 2726 G576 - 1 1 1

G371 3 3 - 3 G474 3 56 53 56 G578 - - - -

G372 27 33 6 33 G478 - - - - G579 - - - -

G373 4 8 4 8 G479 - 10 10 10 G580 - - - -

G374 - - - - G500 6 117 111 117 G587 2 9 7 12

G375 - - - - G501 1 1 - 1 G588 7 24 17 27

G378 9 11 2 11 G508 - 1 1 1 G589 22 59 37 67

G379 63 113 50 118 G509 - 1 1 1 G600 47 149 102 149

G400 1 1 - 1 G510 4 46 42 46 G601 - 1 1 1

G401 - 3 3 3 G511 - - - - G602 - - - -

G402 1 8 7 8 G512 - - - - G603 2 3 1 3

G403 26 69 43 69 G513 - - - - G608 4 10 6 10

G404 12 21 9 21 G514 - - - - G609 21 36 15 36

G405 6 9 3 2 G518 1 2 1 2 G610 209 425 216 425

G406 213 381 168 381 G519 - - - - G611 - - - -

G407 1 5 4 6 G520 - - - - G618 6 11 5 11

G408 2 6 4 6 G521 1 2 1 3 G619 - 3 3 3

G409 579 1113 534 1143 G522 1 2 1 3 G620 - 3 3 3

G410 5 5 - 5 G523 1 2 1 2 G621 5 9 4 6

G411 - - - - G527 1 1 - - G622 2 2 - 2

G412 - - - - G528 - - - - G628 66 134 68 134

G418 1 3 2 3 G529 7 20 13 20 G629 230 1325 1101 1938

G419 491 1005 514 1005 G540 2 7 5 7 G64 1 2 1 2

G430 - - - - G541 - 6 6 6 G700 491 1102 611 1102

G431 - - - - G542 - 1 1 1 G701 - - - -

G432 - - - - G543 - 1 1 1 G702 - - - -

G433 - 1 1 1 G544 - - - - G708 9 10 1

10

G438 - - - - G545 - - - - G709 180 274 96 298

G439 - 105 105 105 G546 - 2 2 2 G710 595 895 300 895

G440 - 3 3 3 G547 - - - - G711 192 296 104 296

G441 - 3 3 3 G548 - - - - G712 118 143 25 143

- 20 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

G713 16 20 4 20 G92 73 115 42 115 H043 - 2 2 2

G718 8 10 2 11 G930 23 50 27 50 H044 - - - -

G719 5 8 3 8 G931 3800 20742 16955 20750 H045 - - - -

G720 6 70 65 71 G932 57 987 930 987 H046 - - - -

G721 3 6 3 4 G933 - 12 12 12 H048 - - - -

G722 - 1 1 1 G934 746 3873 3129 3910 H049 - - - -

G723 2 4 2 4 G935 186 3765 3579 3765 H050 6 26 20 26

G724 2 3 1 3 G936 217 2569 2352 2570 H051 - 1 1 1

G728 43 80 37 80 G937 8 13 5 13 H052 - 3 3 3

G729 70 213 143 218 G938 135 1420 1285 1420 H053 - - - -

G800 6 17 11 17 G939 305 923 619 1371 H054 - - - -

G801 4 6 2 3 G950 54 92 38 92 H055 - - - -

G802 1 4 3 - G951 38 147 109 147 H058 - 1 1 1

G803 1 2 1 2 G952 42 646 605 647 H059 - 3 3 3

G804 - - - - G958 12 47 35 47 H100 - - - -

G808 34 59 40 20 G959 101 316 217 348 H101 - 1 1 1

G809 962 1854 891 1900 G960 1 13 12 13 H102 - - - -

G810 2 5 3 5 G961 4 7 3 7 H103 - - - -

G811 2 18 16 18 G968 9 84 75 84 H104 - 3 3 3

G819 141 5000 4860 5005 G969 28 142 114 153 H105 - - - -

G820 - 1 1 1 G970 ... - - - H108 - - - -

G821 7 39 32 41 G971 ... - - - H109 - 15 15 15

G822 245 1282 1039 1284 G972 ... - - - H110 - - - -

G823 - 3 3 3 G978 ... 274 274 274 H111 - - - -

G824 52 150 107 175 G979 ... 18 18 18 H112 - - - -

G825 346 1280 937 1292 G98 66 146 80 185 H113 - - - -

G830 2 15 13 16 H000 - 1 1 1 H114 - - - -

G831 3 38 35 38 H001 - - - - H118 - - - -

G832 2 9 8 10 H010 - 5 5 5 H119 - - - -

G833 1 15 14 15 H011 - - - - H150 - 1 1 1

G834 5 27 22 27 H018 - - - - H151 - - - -

G838 227 453 226 453 H019 - - - - H158 - 1 1 1

G839 39 399 360 410 H020 - 1 1 1 H159 - - - -

G900 1 4 3 4 H021 - 2 2 2 H160 - - - -

G901 19 32 13 32 H022 - - - - H161 - - - -

G902 - 4 4 4 H023 - - - - H162 1 1 - 1

G903 184 304 132 291 H024 - 1 1 1 H163 1 2 1 2

G908 21 71 50 71 H025 - - - - H164 - 2 2 2

G909 22 52 34 82 H026 - - - - H168 - - - -

G910 8 28 20 28 H027 - - - - H169 - 3 3 3

G911 46 154 108 156 H028 - - - - H170 - - -

-

G912 265 710 447 713 H029 - - - - H171 - - - -

G913 - 2 2 2 H040 - - - - H178 - - - -

G918 18 55 37 55 H041 - - - - H179 - 1 1 1

G919 355 1346 992 1362 H042 - - - - H180 - - - -

- 21 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

H181 - - - - H312 - - - - H444 - - - -

H182 - - - - H313 - - - - H445 - 2 2 2

H183 - - - - H314 - - - - H446 - - - -

H184 - - - - H318 - - - - H447 - - - -

H185 - 1 1 1 H319 - - - - H448 - 1 1 1

H186 - - - - H330 - - - - H449 - - - -

H187 - - - - H331 - - - - H46 1 10 9 10

H188 - - - - H332 1 7 6 7 H470 - 1 1 1

H189 - 2 2 2 H333 - - - - H471 - - - -

H200 - - - - H334 - - - - H472 - 3 3 3

H201 - - - - H335 - - - - H473 - - - -

H202 - - - - H340 - - - - H474 - - - -

H208 - - - - H341 - 2 2 2 H475 - - - -

H209 - 4 4 4 H342 - 3 3 3 H476 - - - -

H210 - - - - H348 - 2 2 2 H477 - - - -

H211 - - - - H349 - 1 1 1 H490 - - - -

H212 - - - - H350 - 68 68 191 H491 - - - -

H213 - - - - H351 - 7 7 3 H492 - 9 9 9

H214 - - - - H352 - 1 1 1 H493 - - - -

H215 - 1 1 1 H353 2 374 372 374 H494 - 1 1 1

H218 - - - - H354 - 2 2 2 H498 1 5 4 5

H219 - - - - H355 - 21 21 21 H499 - 4 4 5

H250 - - - - H356 - 5 5 6 H500 - 1 1 1

H251 - - - - H357 - - - - H501 - - - -

H252 - - - - H358 - 2 2 2 H502 - - - -

H258 - - - - H359 - 2 2 2 H503 - - - -

H259 - - - - H400 - - - - H504 - - - -

H260 - 1 1 1 H401 1 9 8 9 H505 - 1 1 1

H261 - 2 2 2 H402 - 1 1 1 H506 - - - -

H262 - - - - H403 - - - - H508 - - - -

H263 - - - - H404 - - - - H509 - - - -

H264 - - - - H405 - - - - H510 - - - -

H268 - - - - H406 - - - - H511 - - - -

H269 1 142 141 167 H408 - - - - H512 - - - -

H270 - 1 1 1 H409 10 1160 1150 1160 H518 - - - -

H271 - 1 1 1 H430 - - - - H519 - - - -

H278 - - - - H431 - 1 1 1 H520 - 1 1 1

H279 - - - - H432 - - - - H521 - - - -

H300 - 1 1 1 H433 - - - - H522 - - - -

H301 - - - - H438 - - - - H523 - - - -

H302 - - - - H439 - - - - H524 - 2 2

2

H308 - 1 1 1 H440 7 20 13 20 H525 - - - -

H309 1 30 29 31 H441 - 1 1 1 H526 - - - -

H310 - 1 1 1 H442 - - - - H527 - - - -

H311 - - - - H443 - - - - H530 - 1 1 1

- 22 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

H531 - 14 14 14 H661 - - - - H831 - - - -

H532 - 1 1 1 H662 - - - - H832 - 1 1 1

H533 - - - - H663 - 1 1 1 H833 - - - -

H534 - 3 3 3 H664 1 2 1 2 H838 - - - -

H535 - 2 2 2 H669 39 83 44 84 H839 - - - -

H536 - - - - H680 - - - - H900 - - - -

H538 - - - - H681 - - - - H901 - - - -

H539 - 2 2 2 H690 - - - - H902 - - - -

H540 10 1141 1131 1141 H698 - - - - H903 - - - -

H541 - - - - H699 - - - - H904 - - - -

H542 - - - - H700 1 2 1 2 H905 - 42 42 42

H543 - - - - H701 4 5 1 5 H906 - - - -

H544 - 42 42 42 H702 1 2 1 2 H907 - - - -

H545 - 1 1 1 H708 1 1 - 1 H908 - - - -

H546 - - - - H709 17 36 19 36 H910 - - - -

H547 - 23 23 23 H71 4 6 2 6 H911 - 19 19 19

H55 - 5 5 5 H720 - - - - H912 - 1 1 1

H570 - 2 2 2 H721 - - - - H913 - 19 19 19

H571 - - - - H722 - - - - H918 - 2 2 2

H578 - 5 5 5 H728 - - - - H919 2 421 419 421

H579 1 13 12 13 H729 1 1 - 1 H920 - - - -

H590 ... - - - H730 - - - - H921 - - - -

H598 ... - - - H731 - - - - H922 - - - -

H599 ... - - - H738 - - - - H930 - - - -

H600 - 1 1 1 H739 1 1 - 1 H931 - 5 5 5

H601 - 3 3 3 H740 - - - - H932 - - - -

H602 - 1 1 1 H741 - - - - H933 - - - -

H603 - - - - H742 - - - - H938 - 1 1 1

H604 - 1 1 1 H743 - - - - H939 - 2 2 2

H605 - - - - H744 - - - - H950 ... - - -

H608 - - - - H748 - - - - H951 ... - - -

H609 2 7 5 7 H749 - 1 1 1 H958 ... - - -

H610 - - - - H800 - - - - H959 ... - - -

H611 - 1 1 1 H801 - - - - I00 23 175 152 246

H612 - - - - H802 - - - - I010 - 1 1 1

H613 - - - - H808 - - - - I011 5 8 3 8

H618 - - - - H809 - 1 1 1 I012 1 1 - 1

H619 - - - - H810 - 41 41 41 I018 - - - -

H650 - - - - H811 - 4 4 4 I019 - - - -

H651 - - - - H812 - 1 1 1 I020 1 1 - 1

H652 - - - - H813 - - - - I029 - 1 1

1

H653 - - - - H814 - - - - I050 830 1528 702 1632

H654 - - - - H818 - - - - I051 19 26 7 172

H659 - 1 1 1 H819 - - - - I052 9 16 7 -

H660 - - - - H830 - 6 6 6 I058 22 32 10 37

- 23 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

I059 1170 2670 1505 3075 I241 6 17 11 17 I361 3 20 18 20

I060 22 22 2 134 I248 2603 5911 3316 5919 I362 - - - -

I061 7 7 - 75 I249 623 1892 1272 1896 I368 - 8 8 8

I062 - 1 1 1 I250 71926 100701 28856 100784 I369 2 14 12 14

I068 - - - - I251 227487 405603 179351 406512 I370 5 8 3 8

I069 24 33 10 305 I252 364 3005 2642 3006 I371 3 10 7 10

I070 1 2 1 4 I253 120 481 361 481 I372 - - - -

I071 184 550 366 628 I254 19 33 14 33 I378 1 5 4 5

I072 - - - - I255 12566 28361 15828 28393 I379 1 5 4 5

I078 26 45 19 57 I256 - - - - I38 4490 9259 4786 10325

I079 14 35 21 123 I258 1805 4251 2452 4257 I400 228 335 108 338

I080 325 534 280 8 I259 12183 18477 6331 21297 I401 12 13 1 13

I081 60 134 74 5 I260 22 62 40 62 I408 4 6 2 6

I082 4 8 4 1 I269 8986 25272 16303 25299 I409 80 109 29 114

I083 29 41 17 1 I270 2725 7739 5024 7842 I420 5397 9330 3945 9347

I088 - 1 1 1 I271 84 191 111 6 I421 222 406 186 408

I089 2 8 6 8 I278 3 3 - 3 I422 1239 2082 845 2088

I090 13 21 8 25 I279 1360 7304 5946 7820 I423 4 4 - 4

I091 132 232 103 269 I280 1 3 2 3 I424 76 103 27 103

I092 - - - - I281 16 24 8 24 I425 89 106 17 106

I098 1 4 3 5 I288 25 101 76 101 I426 567 539 112 516

I099 752 1477 727 1703 I289 22 54 32 60 I427 23 85 62 85

I10 9917 78659 68798 202856 I300 2 3 1 3 I428 31 62 31 69

I110 8104 6547 970 60 I301 25 66 41 66 I429 19612 42099 22536 43065

I119 14598 18702 4928 37644 I308 14 50 36 50 I440 3 32 29 32

I120 6800 8848 4221 35 I309 20 102 82 103 I441 8 62 54 62

I129 251 496 265 3182 I310 4 34 30 34 I442 329 2204 1875 2204

I130 43 46 22 - I311 59 160 101 161 I443 40 323 283 323

I131 1168 1690 565 - I312 35 788 753 788 I444 - 3 3 3

I132 2005 2565 1029 4 I313 147 1010 863 1010 I445 - - - -

I139 111 166 58 171 I318 1 8 7 8 I446 - - - -

I200 114 553 439 643 I319 259 2160 1903 2564 I447 16 243 227 249

I201 18 53 35 70 I330 1088 2330 1243 2340 I450 - - - -

I208 - 6 6 8 I339 28 69 41 83 I451 6 111 105 111

I209 371 2247 1877 2545 I340 2407 6473 4080 6619 I452 6 33 27 33

I210 16 18 3 19 I341 346 721 375 722 I453 2 10 8 10

I211 6 8 3 9 I342 8 23 15 23 I454 1 43 42 43

I212 7 10 3 10 I348 105 210 105 210 I455 14 67 53 67

I213 32 33 1 33 I349 29 128 99 137 I456 27 99 72 99

I214 306 516 211 517 I350 9902 20000 10129 20223 I458 135 1165 1030 1165

I219 199083 237675 39100 238230 I351 623 1794 1175 2122 I459 127 994 867

1033

I220 - - - - I352 83 193 110 1 I460 2 13 12 13

I221 1 1 - 1 I358 199 425 226 425 I461 2639 12365 9731 12372

I228 - - - - I359 1405 4068 2666 4185 I469 18312 349864 331565 350261

I229 3 5 2 5 I360 - - - - I470 6 51 45 51

- 24 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

I471 154 1661 1508 1662 I621 1 7 6 7 I723 152 260 108 260

I472 522 6730 6209 6734 I629 4952 6948 2009 7511 I724 43 108 65 108

I479 1 19 18 19 I630 181 267 86 267 I728 89 143 54 143

I48 8338 66875 58561 66901 I631 19 45 26 45 I729 355 619 265 711

I490 1626 17510 15892 17522 I632 718 1836 1119 1837 I730 15 135 120 135

I491 1 32 31 32 I633 2740 4744 2016 4756 I731 13 47 34 47

I492 1 1 1 2 I634 654 1955 1301 1955 I738 30 69 39 69

I493 12 254 242 254 I635 328 561 233 561 I739 6864 29124 22315 36377

I494 1 16 15 16 I636 - - - - I740 57 140 83 140

I495 446 3270 2828 3274 I638 63 67 29 67 I741 244 518 275 520

I498 33 263 230 263 I639 10101 19195 9123 19873 I742 13 91 78 91

I499 7168 60492 53442 67193 I64 91051 166219 75362 174121 I743 211 736 525 736

I500 50824 261980 211469 272246 I670 12 23 11 23 I744 51 229 178 232

I501 163 1135 1023 974 I671 446 753 309 2168 I745 30 147 117 147

I509 3926 23400 19488 26248 I672 1455 6067 4629 6047 I748 43 181 138 181

I510 18 424 406 424 I673 30 61 31 61 I749 430 1515 1085 1738

I511 17 49 32 49 I674 84 131 55 121 I770 29 107 78 107

I512 21 113 92 113 I675 12 19 7 19 I771 149 454 305 454

I513 2 7 5 7 I676 - - - - I772 168 389 221 389

I514 560 1322 771 1341 I677 66 114 48 114 I773 4 7 3 7

I515 165 563 399 564 I678 1289 3672 2384 3673 I774 - 2 2 2

I516 3922 8010 4104 8058 I679 5004 13641 8645 17666 I775 - 5 5 5

I517 1372 7998 6654 8170 I690 73 96 23 96 I776 539 1411 872 1472

I518 718 4494 3781 4531 I691 185 301 116 301 I778 23 54 31 54

I519 2022 4922 2978 11165 I692 72 180 108 182 I779 298 764 474 1183

I600 85 88 7 89 I693 1006 1689 685 1691 I780 25 76 51 76

I601 - - - 3 I694 10151 20143 10016 20225 I781 12 35 23 35

I602 2 6 4 11 I698 9676 11805 2168 12386 I788 17 26 9 26

I603 4 5 1 8 I700 60 379 319 628 I789 1 4 3 4

I604 3 14 11 16 I701 70 292 223 432 I800 - 3 3 3

I605 - - - - I702 595 1783 1379 2167 I801 49 149 100 149

I606 63 25 4 25 I708 5 21 16 32 I802 1727 6950 5226 6964

I607 584 583 9 596 I709 14249 44108 29885 72920 I803 356 932 576 1000

I608 20 26 9 26 I710 3373 3782 416 3789 I808 9 28 19 28

I609 5728 7696 1282 6789 I711 1188 1289 103 1291 I809 173 785 613 811

I610 172 233 61 234 I712 782 1574 795 1720 I81 73 235 162 235

I611 121 184 64 185 I713 5647 5986 351 5947 I820 42 149 107 149

I612 59 78 19 78 I714 2255 6195 3943 6558 I821 1 50 49 50

I613 820 1073 256 1081 I715 64 66 2 65 I822 38 206 168 206

I614 640 886 248 891 I716 89 129 40 138 I823 8 29 21 29

I615 758 1245 490 1267 I718 1694 1797 112 2041 I828 79 374 295

374

I616 1 3 2 3 I719 715 1746 1032 1983 I829 70 522 452 562

I618 71 131 61 135 I720 59 91 32 91 I830 64 227 165 228

I619 17245 23789 6580 24500 I721 - - - - I831 12 77 65 76

I620 621 1789 1168 1806 I722 38 59 21 59 I832 10 26 16 12

- 25 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

I839 81 258 178 279 J011 - - - - J180 2023 8747 6726 8893

I840 - - - - J012 - - - - J181 1601 3192 1595 3254

I841 - 1 1 1 J013 - - - - J182 103 1273 1170 1279

I842 2 4 2 4 J014 - - - - J188 36 782 746 797

I843 - - - - J018 - - - - J189 54013 204670 150739 206361

I844 - - - - J019 1 9 8 9 J200 - - - -

I845 - - - - J020 2 4 2 5 J201 - 2 2 3

I846 - - - - J028 - 5 5 5 J202 2 3 1 4

I847 - 1 1 1 J029 11 35 24 36 J203 - - - -

I848 4 7 3 6 J030 1 1 - 1 J204 - - - -

I849 8 34 26 35 J038 1 1 - 1 J205 - - - -

I850 128 1460 1333 786 J039 2 10 8 10 J206 - - - -

I859 96 1533 1440 2218 J040 8 26 18 31 J207 - - - -

I860 - - - - J041 11 52 41 64 J208 42 78 36 85

I861 1 1 - 1 J042 9 13 4 10 J209 260 1221 962 1400

I862 - - - - J050 1 1 - 2 J210 9 17 8 17

I863 - - - - J051 27 49 22 49 J218 5 13 8 14

I864 29 274 246 275 J060 - 1 1 1 J219 70 188 118 199

I868 4 30 26 30 J068 2 2 - 2 J22 152 313 165 399

I870 - 6 6 6 J069 133 729 596 738 J300 - - - -

I871 32 649 617 649 J100 26 27 4 15 J301 - - - 1

I872 55 414 360 415 J101 34 52 18 64 J302 - - - 1

I878 70 293 223 293 J108 - - - - J303 1 6 5 7

I879 8 35 27 37 J110 731 384 71 155 J304 1 35 34 47

I880 - - - - J111 840 1697 869 1943 J310 1 14 13 14

I881 - - - - J118 34 16 7 4 J311 - - - -

I888 - - - - J120 11 22 11 22 J312 - 1 1 1

I889 2 8 6 8 J121 30 64 34 64 J320 6 20 14 21

I890 35 285 250 285 J122 2 9 7 9 J321 3 4 1 4

I891 3 18 15 18 J128 2 2 - 2 J322 2 10 8 10

I898 28 83 55 83 J129 362 639 277 650 J323 2 8 6 8

I899 2 7 5 7 J13 661 1136 477 1141 J324 15 25 10 25

I950 - - - - J14 49 106 57 106 J328 - 4 4 4

I951 30 201 173 215 J150 117 348 231 348 J329 68 253 185 254

I952 - 1 1 1 J151 339 1316 978 1331 J330 1 1 - 1

I958 10 63 53 63 J152 956 2618 1665 2627 J331 - - - -

I959 337 10452 10117 10461 J153 2 5 3 5 J338 - - - -

I970 ... 11 11 11 J154 280 587 308 593 J339 - 1 1 1

I971 ... 164 164 164 J155 23 60 37 61 J340 - 1 1 1

I972 ... 1 1 1 J156 29 98 69 98 J341 - - - -

I978 ... 399 399 399 J157 43 107 64 107 J342 - 1 1

1

I979 ... 34 34 35 J158 87 222 135 223 J343 - - - -

I99 349 2606 2260 6088 J159 1286 2987 1701 3015 J348 4 17 13 17

J00 2 10 8 10 J160 1 5 4 5 J350 - 2 2 2

J010 1 1 - 1 J168 9 26 17 26 J351 - 4 4 5

- 26 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

J352 - - - 1 J630 - - - - J848 40 55 15 55

J353 1 1 - - J631 - - - - J849 2185 3083 911 3104

J358 - 5 5 5 J632 6 10 4 10 J850 147 338 191 341

J359 3 21 18 22 J633 - - - - J851 83 247 164 1

J36 4 5 1 5 J634 1 2 1 2 J852 139 501 364 750

J370 1 4 3 5 J635 - - - - J853 8 31 23 31

J371 3 3 - 2 J638 - - - - J860 97 568 471 568

J380 47 177 130 177 J64 106 284 178 307 J869 325 1118 795 1142

J381 2 6 4 6 J65 5 5 2 - J90 856 8739 7890 8756

J382 - - - - J660 2 4 2 4 J920 2 10 8 4

J383 7 14 7 14 J661 - - - - J929 5 19 14 25

J384 15 52 37 52 J662 - 1 1 1 J930 60 374 315 377

J385 21 54 33 54 J668 1 2 1 2 J931 31 290 259 290

J386 11 65 54 65 J670 8 15 7 15 J938 5 37 32 37

J387 18 69 51 72 J671 - - - - J939 226 2126 1900 2134

J390 6 13 7 13 J672 1 3 2 3 J940 2 17 15 17

J391 5 16 11 16 J673 - - - - J941 17 58 41 58

J392 88 233 145 234 J674 - - - - J942 59 496 437 496

J393 1 1 - 1 J675 - - - - J948 29 227 198 227

J398 109 476 367 476 J676 - - - - J949 2 29 27 30

J399 3 10 7 10 J677 1 1 - 1 J950 ... 92 92 92

J40 640 1883 1334 2904 J678 1 3 2 3 J951 ... 1 1 1

J410 - 10 10 22 J679 26 34 9 35 J952 ... 13 13 13

J411 15 33 19 63 J680 20 34 14 34 J953 ... 2 2 2

J418 - - - - J681 4 5 1 5 J954 ... - - -

J42 517 1518 1005 2703 J682 - 1 1 1 J955 ... 2 2 2

J430 1 1 - 1 J683 1 2 1 2 J958 ... 2685 2685 2686

J431 13 21 9 24 J684 4 4 - 4 J959 ... 83 83 83

J432 15 33 18 33 J688 2 2 - 2 J960 247 15227 14980 15233

J438 5 8 3 9 J689 1 1 - 1 J961 109 1634 1526 1636

J439 17753 32659 15442 35017 J690 15257 56511 41281 56602 J969 3241 142512 139275 142953

J440 454 266 65 - J691 8 13 5 13 J980 115 729 615 746

J441 24 39 15 39 J698 3 4 1 4 J981 177 1307 1130 1307

J448 4236 6976 3709 740 J700 26 289 263 289 J982 23 57 34 57

J449 94881 202992 108410 209228 J701 24 109 85 109 J983 - 2 2 2

J450 182 251 74 243 J702 - 1 1 1 J984 2982 11468 8484 12686

J451 8 15 10 22 J703 - 1 1 1 J985 139 441 303 442

J458 - - - - J704 - - - - J986 28 122 94 122

J459 3982 9142 5773 11633 J708 - 3 3 3 J988 541 2152 1615 2243

J46 485 558 81 615 J709 3 7 4 7 J989 144 492 354 900

J47 970 2135 1167 2143 J80 2125 13662 11542 13685 K000 - - -

-

J60 409 1002 593 1003 J81 746 15117 14372 15352 K001 - 1 1 1

J61 449 1258 810 1265 J82 212 496 284 496 K002 - 1 1 1

J620 3 3 - 3 J840 129 193 64 193 K003 - - - -

J628 99 182 83 184 J841 9004 15472 6489 15631 K004 - 1 1 1

- 27 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

K005 - - - - K069 - 1 1 1 K135 - - - -

K006 - - - - K070 1 12 11 12 K136 - - - -

K007 1 4 3 4 K071 1 3 2 3 K137 6 23 17 23

K008 - - - - K072 - - - - K140 1 8 7 8

K009 - - - - K073 - - - - K141 - - - -

K010 - - - - K074 - - - - K142 - - - -

K011 - - - - K075 - - - - K143 - - - -

K020 - - - - K076 - 3 3 3 K144 - - - -

K021 - - - - K078 - - - - K145 - - - -

K022 - - - - K079 - - - - K146 - - - -

K023 - - - - K080 - 1 1 1 K148 2 13 11 13

K024 - - - - K081 - 1 1 1 K149 2 12 10 12

K028 - - - - K082 - - - - K20 188 1016 829 1054

K029 3 20 17 20 K083 - - - - K210 77 363 286 325

K030 - - - - K088 6 26 20 26 K219 579 3549 2970 3592

K031 - - - - K089 2 11 9 11 K220 91 227 136 227

K032 - - - - K090 - - - - K221 94 480 386 480

K033 - - - - K091 - - - - K222 290 1162 873 1163

K034 - - - - K092 - - - - K223 207 367 161 368

K035 - - - - K098 - - - - K224 305 601 296 601

K036 - - - - K099 - - - - K225 62 123 61 123

K037 - - - - K100 - - - - K226 66 141 75 141

K038 - - - - K101 - - - - K228 147 660 513 767

K039 - - - - K102 3 19 16 19 K229 54 122 68 150

K040 - - - - K103 - - - - K250 22 35 13 18

K041 - - - - K108 - 2 2 2 K251 1 3 2 4

K042 - - - - K109 - 4 4 4 K252 1 1 - -

K043 - - - - K110 - - - - K253 4 13 9 31

K044 - - - - K111 - - - - K254 646 1124 479 258

K045 - - - - K112 41 135 94 135 K255 461 741 284 762

K046 - - - - K113 7 20 13 20 K256 35 50 17 2

K047 27 51 24 51 K114 - - - - K257 2 20 18 35

K048 - - - - K115 - - - - K259 161 894 733 1807

K049 - - - - K116 - 1 1 1 K260 13 24 12 7

K050 - - - - K117 - 2 2 2 K261 2 5 3 5

K051 - 12 12 12 K118 - 3 3 3 K262 - 1 1 1

K052 - 5 5 5 K119 - 3 3 3 K263 4 9 5 27

K053 1 5 4 5 K120 - 2 2 2 K264 604 1053 451 364

K054 - - - - K121 1 29 28 29 K265 658 1072 417 1132

K055 - - - - K122 13 25 12 25 K266 49 73 24 5

K056 1 7 6 7 K130 1 1 - 1 K267 6 24 18

33

K060 - - - - K131 - - - - K269 140 627 488 1362

K061 - - - - K132 - 3 3 3 K270 4 6 2 -

K062 - - - - K133 - - - - K271 1 2 1 2

K068 1 2 1 2 K134 - - - - K272 - 1 1 -

- 28 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

K273 - 3 3 10 K389 2 6 4 6 K550 4192 7811 3559 7828

K274 999 1774 777 326 K400 3 3 - 3 K551 211 352 141 352

K275 409 665 257 683 K401 1 1 - - K552 90 271 181 271

K276 26 40 14 5 K402 - 12 12 13 K558 4 7 3 7

K277 18 79 61 108 K403 123 213 90 191 K559 4445 8755 4321 9515

K279 301 3240 2940 4877 K404 23 12 1 3 K560 68 279 212 283

K280 - - - - K409 34 154 120 190 K561 27 35 8 35

K281 - - - - K410 - - - - K562 559 979 422 1048

K282 - - - - K411 - - - - K563 30 33 12 27

K283 - 1 1 1 K412 - - - - K564 152 371 221 376

K284 31 67 37 10 K413 38 57 19 50 K565 343 626 283 132

K285 - 6 6 7 K414 3 2 - 1 K566 3570 11280 7726 12245

K286 1 4 3 2 K419 1 8 7 18 K567 275 1486 1211 1508

K287 - - - - K420 58 91 35 77 K570 12 15 3 4

K289 5 24 19 82 K421 7 3 1 - K571 22 36 14 47

K290 13 38 25 8 K429 17 54 37 73 K572 334 411 77 313

K291 21 67 46 97 K430 161 260 99 209 K573 184 456 273 561

K292 16 29 21 35 K431 32 17 - 3 K574 7 1 - 1

K293 - - - - K439 76 265 189 338 K575 - 1 1 1

K294 5 36 31 36 K440 77 120 44 73 K578 1290 1682 397 1029

K295 25 178 153 178 K441 6 6 3 2 K579 1578 3821 2248 4655

K296 118 394 276 394 K449 380 1461 1081 1517 K580 1 3 2 -

K297 198 1357 1159 1358 K450 21 41 20 39 K589 11 165 154 168

K298 7 69 62 69 K451 6 5 1 2 K590 108 490 383 491

K299 1 12 11 13 K458 2 8 6 13 K591 - - - -

K30 3 50 47 50 K460 232 365 133 327 K592 2 24 22 24

K310 3 12 9 12 K461 44 36 5 3 K593 186 456 270 468

K311 87 473 386 473 K469 119 324 207 436 K594 - 1 1 1

K312 1 3 2 3 K500 6 19 13 20 K598 44 99 55 99

K313 - 1 1 1 K501 23 54 31 55 K599 22 50 28 51

K314 - - - - K508 1 1 - - K600 - - - -

K315 9 79 70 79 K509 471 1341 871 1346 K601 - 1 1 1

K316 24 113 89 113 K510 - - - - K602 2 5 3 5

K318 316 1308 992 1378 K511 - - - - K603 1 10 9 10

K319 114 366 252 377 K512 3 8 5 8 K604 7 37 30 37

K350 288 504 218 477 K513 - 1 1 1 K605 - - - -

K351 11 39 28 39 K514 - 1 1 1 K610 6 17 11 17

K359 32 61 29 85 K515 - 2 2 2 K611 80 175 95 175

K36 - - - - K518 1 3 2 3 K612 - - - -

K37 55 119 64 135 K519 294 986 692 986 K613 11 15 4 15

K380 - - - - K520 19 121 102 121 K614 - - -

-

K381 - - - - K521 11 22 11 22 K620 - - - -

K382 - - - - K522 - 3 3 3 K621 - 7 7 7

K383 - - - - K528 7 21 14 21 K622 1 1 - 1

K388 2 3 1 3 K529 1352 4030 2686 4156 K623 22 81 59 81

- 29 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

K624 11 40 29 40 K741 21 31 10 33 K835 - - - -

K625 140 599 460 601 K742 - 1 1 1 K838 24 60 36 60

K626 11 36 25 36 K743 414 517 105 519 K839 29 67 38 82

K627 4 61 57 61 K744 5 30 25 30 K85 2751 5988 3243 6146

K628 108 252 144 252 K745 114 168 54 168 K860 295 214 28 44

K629 25 72 47 74 K746 13291 28730 15478 31781 K861 243 1035 792 1086

K630 40 182 143 259 K750 150 387 237 387 K862 2 20 18 20

K631 1538 4282 2747 4600 K751 - 2 2 2 K863 46 161 115 161

K632 174 728 556 730 K752 - 1 1 1 K868 58 354 296 355

K633 35 94 59 94 K753 9 20 11 20 K869 142 388 246 439

K634 2 5 3 5 K758 21 47 26 47 K900 14 54 40 54

K638 64 187 124 188 K759 316 1268 953 1417 K901 29 82 53 82

K639 389 1046 661 1274 K760 383 1982 1600 2191 K902 119 288 169 288

K650 589 2662 2078 2879 K761 31 258 227 258 K903 - - - -

K658 19 122 103 143 K762 - 1 1 1 K904 8 31 23 31

K659 989 4307 3322 5036 K763 27 71 44 71 K908 3 14 11 14

K660 99 343 245 841 K764 2 3 1 3 K909 80 291 211 311

K661 138 533 395 533 K765 5 19 14 19 K910 ... 3 3 3

K668 36 127 91 127 K766 137 1152 1015 1152 K911 ... 23 23 23

K669 24 61 37 61 K767 467 4358 3894 4364 K912 ... 136 136 136

K700 305 216 65 6 K768 123 819 697 822 K913 ... 183 183 183

K701 805 970 212 916 K769 1618 3327 1719 6510 K914 ... 91 91 91

K702 3 3 - - K800 98 131 34 3 K915 ... 2 2 2

K703 7264 6007 1001 3069 K801 172 333 165 30 K918 ... 668 668 669

K704 1566 1110 168 63 K802 650 1660 1013 2099 K919 ... 46 46 46

K709 2015 2773 1075 2795 K803 46 60 14 1 K920 41 191 151 214

K710 3 5 2 5 K804 21 40 20 1 K921 7 55 49 57

K711 2 4 2 4 K805 111 240 130 338 K922 7388 31235 23890 35108

K712 - - - - K808 2 3 1 3 K928 18 77 59 77

K713 - - - - K810 674 1131 458 1272 K929 53 138 89 203

K714 - - - - K811 53 180 127 223 L00 3 13 10 13

K715 - - - - K818 13 24 11 25 L010 - 3 3 3

K716 15 33 18 33 K819 649 1282 636 1603 L011 - - - -

K717 1 1 - - K820 9 22 13 26 L020 2 8 6 8

K718 3 6 4 5 K821 1 8 7 8 L021 13 37 24 37

K719 1 8 7 11 K822 46 93 47 93 L022 32 168 136 168

K720 237 1114 872 1121 K823 6 16 10 16 L023 7 53 46 53

K721 82 333 251 336 K824 - 10 10 10 L024 28 184 156 184

K729 3727 28842 24975 29224 K828 9 27 18 27 L028 4 19 15 19

K730 - 5 5 5 K829 270 863 594 867 L029 45 295 250 303

K731 - - - - K830 462 1123 662 1192 L030 4 17 13

17

K732 300 507 207 508 K831 388 1888 1500 1913 L031 273 1449 1176 1449

K738 12 18 6 18 K832 3 6 3 6 L032 9 32 23 32

K739 127 334 207 335 K833 3 13 10 13 L033 24 123 100 124

K740 17 77 60 78 K834 1 1 - 1 L038 14 46 32 46

- 30 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

L039 375 1753 1379 1762 L232 - - - - L304 - 1 1 1

L040 - - - - L233 - - - - L305 - - - -

L041 - 2 2 2 L234 - - - - L308 4 10 6 10

L042 - - - - L235 - - - - L309 11 112 101 117

L043 - - - - L236 - - - - L400 - 1 1 1

L048 - - - - L237 - - - - L401 2 5 3 5

L049 - 2 2 2 L238 - - - - L402 - - - -

L050 - 1 1 1 L239 - 7 7 7 L403 - - - -

L059 - 3 3 3 L240 - - - - L404 - - - -

L080 3 11 8 11 L241 - - - - L405 9 69 60 69

L081 - - - - L242 - - - - L408 1 3 2 3

L088 - 1 1 1 L243 - - - - L409 13 251 238 256

L089 147 665 519 685 L244 - - - - L410 - 1 1 1

L100 11 34 23 34 L245 - - - - L411 - - - -

L101 - - - - L246 - - - - L412 - - - -

L102 1 3 2 3 L247 - - - - L413 - - - -

L103 - - - - L248 - - - - L414 - - - -

L104 - 1 1 1 L249 - - - - L415 - - - -

L105 - - - - L250 - - - - L418 - - - -

L108 1 11 10 11 L251 - - - - L419 - - - -

L109 30 137 107 137 L252 - - - - L42 - - - -

L110 - - - - L253 - - - - L430 - - - -

L111 - - - - L254 - - - - L431 - - - -

L118 - - - - L255 - - - - L432 - - - -

L119 - - - - L258 - - - - L433 - - - -

L120 57 254 197 254 L259 - - - - L438 - - - -

L121 3 7 4 7 L26 12 34 22 34 L439 - 5 5 5

L122 - - - - L270 2 10 8 10 L440 - - - -

L123 - - - - L271 - - - - L441 - - - -

L128 1 5 4 5 L272 - - - - L442 - - - -

L129 12 57 45 57 L278 - - - - L443 - - - -

L130 1 6 5 6 L279 - - - - L444 - - - -

L131 1 3 2 3 L280 - 12 12 12 L448 - - - -

L138 1 1 - 1 L281 - - - - L449 - - - -

L139 3 10 7 11 L282 - - - - L500 - 1 1 1

L200 - - - - L290 - - - - L501 - 1 1 1

L208 - - - - L291 - - - - L502 - - - -

L209 - 6 6 6 L292 - - - - L503 - - - -

L210 - - - - L293 - - - - L504 - - - -

L211 1 1 - 1 L298 - 1 1 1 L505 - - - -

L218 - - - - L299 - 1 1 1 L506 - - -

-

L219 - 4 4 4 L300 - 1 1 1 L508 1 3 2 3

L22 - 2 2 2 L301 - - - - L509 - 7 7 7

L230 - - - - L302 - 1 1 1 L510 - - - -

L231 - - - - L303 - 2 2 2 L511 51 112 61 112

- 31 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

L512 63 116 53 116 L631 - 1 1 1 L729 - - - -

L518 1 1 - 1 L632 - - - - L730 - - - -

L519 7 13 6 14 L638 - - - - L731 - - - -

L52 1 5 4 5 L639 - - - - L732 3 16 13 16

L530 - - - - L640 - - - - L738 - - - -

L531 - - - - L648 - - - - L739 - 3 3 3

L532 - - - - L649 - - - - L740 - - - -

L533 - - - - L650 - - - - L741 - - - -

L538 1 2 1 2 L651 - - - - L742 - - - -

L539 15 163 148 163 L652 - - - - L743 - - - -

L550 - - - - L658 - - - - L744 - - - -

L551 - - - - L659 - - - - L748 - - - -

L552 - - - - L660 - - - - L749 - - - -

L558 - - - - L661 - - - - L750 - - - -

L559 - 1 1 1 L662 - - - - L751 - - - -

L560 - - - - L663 - - - - L752 - - - -

L561 - - - - L664 - - - - L758 - - - -

L562 - - - - L668 - - - - L759 - - - -

L563 - - - - L669 - - - - L80 - 1 1 1

L564 - - - - L670 - - - - L810 - - - -

L568 - - - - L671 - - - - L811 - - - -

L569 - - - - L678 - - - - L812 - - - -

L570 1 2 1 2 L679 - - - - L813 - - - -

L571 - 1 1 1 L680 - - - - L814 1 4 3 4

L572 - - - - L681 - - - - L815 - - - -

L573 - - - - L682 - - - - L816 - - - -

L574 - - - - L683 - - - - L817 - - - -

L575 - - - - L688 - - - - L818 - 1 1 1

L578 - 2 2 2 L689 - - - - L819 - 1 1 1

L579 - - - - L700 - - - - L82 - 2 2 2

L580 - - - - L701 - - - - L83 - - - -

L581 - - - - L702 - - - - L84 - 1 1 1

L589 - - - - L703 - - - - L850 - - - -

L590 - - - - L704 - - - - L851 - 1 1 1

L598 - 6 6 6 L705 - - - - L852 - - - -

L599 - - - - L708 - - - - L853 - - - -

L600 - - - - L709 - - - - L858 1 1 - 1

L601 - - - - L710 - - - - L859 - 1 1 1

L602 - - - - L711 - 1 1 1 L870 - - - -

L603 - - - - L718 - - - - L871 - - - -

L604 - - - - L719 - 7 7 7 L872 - - -

-

L605 - 5 5 5 L720 1 2 1 2 L878 - - - -

L608 - - - - L721 2 4 2 4 L879 - - - -

L609 - - - - L722 - - - - L88 7 46 39 46

L630 - 1 1 1 L728 - - - - L89 1842 9154 7319 11040

- 32 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

L900 - 2 2 2 M001 1 2 1 2 M124 - - - -

L901 - - - - M002 2 2 - 2 M125 1 4 3 4

L902 - - - - M008 - - - - M128 - 1 1 1

L903 - - - - M009 187 376 189 377 M130 8 39 31 44

L904 - - - - M020 - - - - M131 - - - -

L905 2 47 45 47 M021 - - - - M138 - 8 8 12

L906 - - - - M022 - - - - M139 323 3656 3334 4107

L908 - - - - M023 - 4 4 4 M150 - - - -

L909 - - - - M028 - - - - M151 - - - -

L910 - 2 2 2 M029 - - - - M152 - 1 1 1

L918 - - - - M050 29 87 58 87 M153 - 4 4 4

L919 - - - - M051 216 318 109 286 M154 - - - -

L920 - - - - M052 62 43 11 6 M158 - - - -

L921 - 1 1 1 M053 43 86 53 22 M159 26 242 216 242

L922 - - - - M058 - - - - M160 - - - -

L923 - - - - M059 - - - - M161 - - - -

L928 3 20 17 20 M060 1 2 1 2 M162 - - - -

L929 4 48 44 48 M061 - 1 1 1 M163 - - - -

L930 219 983 764 984 M062 1 1 - 1 M164 - - - -

L931 - - - - M063 - 1 1 1 M165 - - - -

L932 - 2 2 2 M064 3 34 31 34 M166 - - - -

L940 - - - - M068 1 3 2 3 M167 - - - -

L941 - 1 1 1 M069 2394 9444 7055 9763 M169 18 110 92 110

L942 - 1 1 1 M080 12 28 16 28 M170 - - - -

L943 - 4 4 4 M081 - - - - M171 - - - -

L944 - - - - M082 1 4 3 4 M172 - - - -

L945 - - - - M083 - - - - M173 - - - -

L946 - - - - M084 - - - - M174 - - - -

L948 - 1 1 1 M088 - - - - M175 - - - -

L949 2 7 5 7 M089 - - - - M179 22 145 123 145

L950 - - - - M100 20 148 128 148 M180 - 1 1 1

L951 - 1 1 1 M101 - - - - M181 - - - -

L958 1 2 1 2 M102 - - - - M182 - - - -

L959 - 1 1 1 M103 1 5 4 5 M183 - - - -

L97 154 934 780 1350 M104 - - - - M184 - - - -

L980 - 2 2 2 M109 41 1433 1393 1437 M185 - - - -

L981 - - - - M110 - - - - M189 - 5 5 5

L982 2 13 11 13 M111 - - - - M190 1 4 3 4

L983 - - - - M112 - 20 20 20 M191 - - - -

L984 130 875 745 984 M118 - - - - M192 4 16 12 16

L985 - 1 1 1 M119 1 2 1 2 M198 5 35 30

35

L986 - - - - M120 - - - - M199 765 14054 13294 14077

L988 7 152 146 153 M121 - - - - M200 - - - -

L989 15 87 72 88 M122 - - - - M201 1 6 5 6

M000 3 6 3 6 M123 1 2 1 2 M202 - - - -

- 33 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

M203 - - - - M255 - 48 48 48 M403 - - - -

M204 - - - - M256 - 2 2 2 M404 - - - -

M205 - - - - M257 1 5 4 5 M405 - 6 6 6

M206 - - - - M258 4 61 57 61 M410 - - - -

M210 - - - - M259 46 774 728 805 M411 1 1 - 1

M211 - - - - M300 74 134 60 151 M412 1 2 1 2

M212 - 1 1 1 M301 31 32 11 15 M413 3 4 1 5

M213 - 6 6 6 M302 - - - - M414 - 2 2 2

M214 - - - - M303 2 5 3 5 M415 2 36 34 40

M215 - - - - M308 - 1 1 1 M418 2 10 8 10

M216 - 1 1 1 M310 102 161 60 162 M419 261 789 529 970

M217 - 2 2 2 M311 384 528 147 531 M420 - - - -

M218 - - - - M312 - 1 1 1 M421 - 1 1 1

M219 1 14 13 14 M313 312 512 200 512 M429 - 1 1 1

M220 - - - - M314 9 14 5 14 M430 1 7 6 7

M221 - - - - M315 - - - - M431 7 24 17 24

M222 - - - - M316 127 617 491 618 M432 7 58 51 58

M223 - - - - M318 6 12 6 12 M433 - 1 1 -

M224 - - - - M319 3 10 7 10 M434 - 1 1 2

M228 - 1 1 1 M320 3 16 13 16 M435 - 1 1 1

M229 - - - - M321 1149 1239 436 686 M436 2 11 9 11

M230 - - - - M328 2 2 - 2 M438 - 1 1 1

M231 - - - - M329 168 948 795 1553 M439 - 14 14 15

M232 - - - - M330 - - - - M45 34 225 192 226

M233 - - - - M331 107 203 96 204 M460 - - - -

M234 - - - - M332 222 460 240 462 M461 - 1 1 1

M235 - - - - M339 1 1 - 1 M462 79 175 96 175

M236 - - - - M340 60 84 24 84 M463 1 2 1 2

M238 - - - - M341 103 209 106 209 M464 22 72 50 72

M239 - 2 2 2 M342 - - - - M465 - - - -

M240 - 1 1 1 M348 550 367 112 29 M468 - 2 2 2

M241 - - - - M349 578 1295 740 1691 M469 8 69 61 69

M242 - - - - M350 70 267 197 267 M470 - - - -

M243 - 4 4 4 M351 4 12 8 12 M471 10 13 7 8

M244 1 18 17 18 M352 7 15 8 15 M472 - - - -

M245 8 107 99 107 M353 84 1016 932 1016 M478 24 151 127 156

M246 3 29 26 29 M354 - - - - M479 16 243 227 243

M247 - 1 1 1 M355 - - - - M480 122 1367 1245 1367

M248 - 6 6 6 M356 1 4 3 4 M481 2 6 4 6

M249 - 4 4 4 M357 - - - - M482 - - - -

M250 - 4 4 4 M358 6 17 11 17 M483 - 1 1

1

M251 - 1 1 1 M359 313 543 231 579 M484 1 1 - 1

M252 - 1 1 1 M400 - - - - M485 - 31 31 31

M253 - 3 3 3 M401 1 54 53 54 M488 6 18 12 18

M254 1 3 2 3 M402 69 443 374 444 M489 33 97 64 97

- 34 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

M500 - 4 4 3 M625 10 62 52 62 M723 - - - -

M501 1 1 - 1 M626 2 12 10 12 M724 - - - -

M502 5 12 7 12 M628 417 1225 808 1225 M725 354 809 456 810

M503 5 21 16 22 M629 8 29 21 30 M728 1 1 - 1

M508 - - - - M650 1 1 - 1 M729 - 2 2 2

M509 1 5 4 5 M651 - - - - M750 - 4 4 4

M510 3 2 - 1 M652 - - - - M751 1 10 9 10

M511 - 1 1 1 M653 - - - - M752 - - - -

M512 13 67 54 67 M654 - - - - M753 - - - -

M513 9 175 166 176 M658 - - - - M754 - - - -

M514 - - - - M659 - 1 1 1 M755 - 4 4 4

M518 - 1 1 1 M660 - - - - M758 1 5 4 5

M519 2 51 49 53 M661 - - - - M759 - 1 1 1

M530 - - - - M662 - - - - M760 - - - -

M531 1 6 5 6 M663 - - - - M761 - - - -

M532 1 9 8 9 M664 - - - - M762 - - - -

M533 1 1 - 1 M665 1 3 2 3 M763 - 1 1 1

M538 2 21 19 21 M670 - - - - M764 - - - -

M539 - 7 7 8 M671 - 1 1 1 M765 - - - -

M540 - - - - M672 - 1 1 1 M766 - 1 1 1

M541 3 85 82 85 M673 - - - - M767 - - - -

M542 - 14 14 14 M674 1 8 7 8 M768 - - - -

M543 1 22 21 23 M678 - 1 1 1 M769 - - - -

M544 - 1 1 - M679 - 1 1 1 M770 - - - -

M545 3 117 114 118 M700 - - - - M771 - - - -

M546 - 1 1 1 M701 - - - - M772 - - - -

M548 1 8 7 8 M702 3 10 7 10 M773 - - - -

M549 20 318 298 319 M703 1 2 1 2 M774 - - - -

M600 25 71 46 72 M704 - 4 4 4 M775 - - - -

M601 - - - - M705 - - - - M778 - - - -

M602 - 1 1 1 M706 - 2 2 2 M779 1 4 3 4

M608 2 17 15 17 M707 - 2 2 2 M790 3 165 162 166

M609 45 128 83 128 M708 - - - - M791 1 13 12 13

M610 - - - - M709 - - - - M792 2 36 34 40

M611 1 4 3 4 M710 - - - - M793 13 33 20 33

M612 - - - - M711 1 5 4 5 M794 - - - -

M613 - - - - M712 - - - - M795 - - - -

M614 - - - - M713 - - - - M796 4 37 33 37

M615 3 4 1 4 M714 - - - - M798 6 42 36 42

M619 1 1 - 1 M715 - 3 3 3 M799 1 6 5 6

M620 - - - - M718 - 1 1 1 M800 - - -

-

M621 1 3 2 3 M719 - 10 10 10 M801 - - - -

M622 - - - - M720 1 4 3 4 M802 - - - -

M623 44 109 65 109 M721 - - - - M803 1 1 - -

M624 - 20 20 20 M722 - 1 1 1 M804 1 4 3 3

- 35 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

M805 - - - - M870 - - - - M950 - - - -

M808 4 9 5 2 M871 - 1 1 1 M951 - - - -

M809 688 2348 1661 100 M872 - - - - M952 - - - -

M810 1 13 12 13 M873 - 1 1 1 M953 - 2 2 2

M811 - - - - M878 6 47 41 47 M954 7 29 22 29

M812 - - - - M879 6 36 30 36 M955 - 1 1 1

M813 1 1 - 2 M880 2 4 2 4 M958 - 1 1 1

M814 - 4 4 5 M888 1 7 6 7 M959 - 9 9 9

M815 - - - - M889 65 521 456 521 M960 ... - - -

M816 - - - - M890 1 20 19 20 M961 ... 2 2 2

M818 14 16 13 22 M891 - - - - M962 ... - - -

M819 932 10230 9310 12503 M892 - - - - M963 ... - - -

M830 - - - - M893 - - - - M964 ... - - -

M831 - - - - M894 - 1 1 1 M965 ... - - -

M832 - - - - M895 - 5 5 5 M966 ... 2 2 2

M833 - - - - M896 - 1 1 1 M968 ... 11 11 11

M834 1 1 - 1 M898 25 197 172 197 M969 ... 3 3 3

M835 - - - - M899 13 77 64 81 M990 - - - -

M838 - 2 2 2 M910 - - - - M991 - - - -

M839 1 10 9 10 M911 - 1 1 1 M992 - - - -

M840 1 2 1 2 M912 - - - - M993 - - - -

M841 8 41 33 42 M913 - - - - M994 - - - -

M842 - - - - M918 - - - - M995 - - - -

M843 1 7 6 7 M919 10 27 17 27 M996 - - - -

M844 95 953 858 3183 M920 - - - - M997 - - - -

M848 1 1 - 1 M921 - - - - M998 - - - -

M849 1 2 1 2 M922 - - - - M999 - - - -

M850 1 2 1 2 M923 - - - - N000 - 2 2 2

M851 - - - - M924 - - - - N001 - - - -

M852 - 2 2 2 M925 - - - - N002 - - - -

M853 - - - - M926 - - - - N003 - - - -

M854 - - - - M927 - - - - N004 - - - -

M855 1 1 - 1 M928 - - - - N005 - 1 1 1

M856 - 2 2 2 M929 - - - - N006 - - - -

M858 1 4 3 4 M930 - - - - N007 - 1 1 1

M859 - - - - M931 - - - - N008 1 1 - 1

M860 - - - - M932 - - - - N009 15 51 36 54

M861 4 6 2 6 M938 - - - - N010 - - - -

M862 - - - - M939 - 2 2 2 N011 - - - -

M863 - - - - M940 - - - - N012 - - - -

M864 - - - - M941 6 11 6 12 N013 - - -

-

M865 - - - - M942 1 2 1 2 N014 - - - -

M866 64 189 125 189 M943 - 1 1 1 N015 - - - -

M868 52 97 45 97 M948 4 7 3 7 N016 - - - -

M869 846 2116 1272 2122 M949 - - - - N017 - 1 1 1

- 36 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

N018 - - - - N063 - - - - N178 2 2 - 2

N019 12 27 15 27 N064 - - - - N179 4576 30403 25843 30623

N020 - - - - N065 - - - - N180 6679 25837 19178 30948

N021 - - - - N066 - - - - N188 629 86 73 37

N022 - 1 1 1 N067 - - - - N189 6684 33928 27266 38001

N023 - - - - N068 - - - - N19 15975 97427 81566 105093

N024 - - - - N069 - 1 1 1 N200 195 622 427 650

N025 - - - - N070 - - - - N201 12 34 22 40

N026 - - - - N071 - - - - N202 2 4 2 1

N027 - - - - N072 - - - - N209 14 54 40 54

N028 19 42 23 42 N073 - - - - N210 8 44 36 44

N029 2 18 16 18 N074 - - - - N211 3 5 2 5

N030 - - - - N075 - - - - N218 - - - -

N031 - - - - N076 - - - - N219 - - - -

N032 - - - - N077 - - - - N23 1 6 5 6

N033 - - - - N078 - - - - N250 2 20 18 20

N034 - 1 1 1 N079 - - - - N251 5 13 8 13

N035 - - - - N10 125 276 151 276 N258 26 117 91 117

N036 - - - - N110 7 7 1 7 N259 1 1 - 1

N037 - - - - N111 8 22 15 18 N26 55 120 66 156

N038 - 1 1 1 N118 1 3 2 3 N270 - - - -

N039 315 784 472 894 N119 106 260 155 260 N271 - - - -

N040 - - - 1 N12 544 1199 656 1205 N279 1 2 1 2

N041 - - - - N130 2 2 1 2 N280 79 431 353 432

N042 - - - - N131 - 2 2 - N281 - 4 4 4

N043 - - - - N132 15 28 13 - N288 87 422 335 422

N044 - - - - N133 91 621 530 651 N289 356 1858 1507 2714

N045 - - - - N134 1 18 17 18 N300 9 34 25 34

N046 - - - - N135 69 398 330 404 N301 3 24 21 24

N047 - - - - N136 5 9 7 8 N302 16 75 59 75

N048 1 2 1 2 N137 2 10 8 10 N303 - 1 1 1

N049 153 509 363 670 N138 20 82 62 82 N304 8 60 52 60

N050 - 1 1 1 N139 270 1116 846 1143 N308 12 38 26 38

N051 7 15 8 16 N140 7 11 4 11 N309 87 368 281 370

N052 28 81 54 87 N141 3 8 5 8 N310 - - - -

N053 1 3 2 3 N142 5 10 5 10 N311 - - - -

N054 - - - - N143 1 1 - 1 N312 16 60 44 60

N055 8 16 8 17 N144 1 2 1 2 N318 1 4 3 4

N056 - - - - N150 1 1 - 1 N319 146 731 585 731

N057 6 13 7 14 N151 50 138 88 141 N320 37 180 143 180

N058 18 44 26 44 N158 - 1 1 1 N321 78 321 244

323

N059 130 321 196 357 N159 26 66 40 67 N322 12 59 47 59

N060 - - - - N170 169 805 636 805 N323 1 7 6 7

N061 - - - - N171 2 9 7 9 N324 15 59 44 59

N062 - - - - N172 3 5 2 5 N328 11 117 106 117

- 37 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

N329 13 55 42 69 N481 1 2 1 2 N733 - - - -

N340 1 3 2 3 N482 8 29 21 29 N734 - - - -

N341 - - - - N483 - 1 1 1 N735 2 7 5 7

N342 5 16 11 16 N484 - - - - N736 2 9 7 9

N343 - 2 2 2 N485 - 2 2 2 N738 - - - -

N350 - - - - N486 - - - - N739 72 216 144 216

N351 - - - - N488 - 4 4 4 N750 1 2 1 2

N358 - - - - N489 2 2 - 2 N751 - - - -

N359 19 75 56 75 N490 - - - - N758 - - - -

N360 3 25 22 25 N491 - 2 2 2 N759 - - - -

N361 1 1 - 1 N492 32 67 35 67 N760 2 8 6 8

N362 - 1 1 1 N498 16 24 8 24 N761 - - - -

N363 1 2 1 2 N499 2 4 2 4 N762 1 5 4 5

N368 7 52 45 52 N500 - 2 2 2 N763 - - - -

N369 1 7 6 7 N501 1 2 1 2 N764 1 2 1 2

N390 14021 34368 20386 34513 N508 2 12 10 12 N765 - - - -

N391 2 3 1 3 N509 2 20 18 21 N766 - 1 1 1

N392 - - - - N600 - - - - N768 - 1 1 1

N393 - 5 5 5 N601 - 5 5 5 N800 2 4 2 4

N394 - - - - N602 - - - - N801 - - - -

N398 2 7 5 7 N603 - - - - N802 - - - -

N399 19 51 32 77 N604 - - - - N803 - - - -

N40 430 2672 2242 2672 N608 - - - - N804 - - - -

N410 5 9 4 9 N609 - - - - N805 - - - -

N411 5 21 16 21 N61 7 23 16 23 N806 - - - -

N412 5 10 5 10 N62 - 1 1 1 N808 - - - -

N413 1 3 2 1 N63 16 141 125 141 N809 4 8 4 8

N418 - - - - N640 - - - - N810 - - - -

N419 18 78 60 80 N641 - 1 1 1 N811 7 24 17 26

N420 - 12 12 12 N642 - - - - N812 - - - -

N421 2 28 26 28 N643 - - - - N813 2 6 4 6

N422 - 1 1 1 N644 - - - - N814 7 35 28 35

N428 2 11 9 11 N645 1 6 5 6 N815 - 1 1 1

N429 52 207 155 226 N648 2 5 3 5 N816 1 3 2 4

N430 - 1 1 1 N649 15 121 106 121 N818 2 3 1 3

N431 - - - - N700 1 1 - 1 N819 - - - -

N432 - - - - N701 - 1 1 1 N820 5 21 16 21

N433 - 14 14 14 N709 8 16 8 16 N821 - 1 1 1

N434 - - - - N710 - - - - N822 - 2 2 2

N44 - - - - N711 - - - - N823 41 159 118 159

N450 2 6 4 6 N719 16 24 8 24 N824 2 23 21

23

N459 2 21 19 21 N72 2 2 - 2 N825 - - - -

N46 - - - - N730 - - - - N828 1 3 2 3

N47 - 6 6 6 N731 - 1 1 1 N829 5 33 28 33

N480 - - - - N732 - 4 4 4 N830 - - - -

- 38 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

N831 - - - - N898 1 4 3 4 N971 - - - -

N832 12 40 28 40 N899 1 4 3 4 N972 - - - -

N833 - - - - N900 - 1 1 1 N973 - - - -

N834 - 1 1 1 N901 - - - - N974 - - - -

N835 3 6 3 6 N902 - - - - N978 - - - -

N836 - - - - N903 - - - - N979 - - - -

N837 - - - - N904 - - - - N980 - - - -

N838 4 15 11 15 N905 - - - - N981 - - - -

N839 26 99 73 107 N906 - - - - N982 - - - -

N840 - 1 1 1 N907 1 1 - 1 N983 - - - -

N841 - 1 1 1 N908 1 3 2 3 N988 - - - -

N842 - - - - N909 1 1 - 1 N989 - - - -

N843 - - - - N910 - - - - N990 ... 464 464 464

N848 - - - - N911 - - - - N991 ... - - -

N849 - - - - N912 - - - - N992 ... - - -

N850 1 5 4 5 N913 - - - - N993 ... - - -

N851 - - - - N914 - - - - N994 ... 2 2 2

N852 - 5 5 5 N915 - - - - N995 ... 1 1 1

N853 - - - - N920 - 4 4 4 N998 ... 92 92 92

N854 - - - - N921 - 1 1 1 N999 ... 11 11 11

N855 - - - - N922 - - - - O000 - 1 1 1

N856 - 1 1 1 N923 - - - - O001 5 6 1 6

N857 - - - - N924 - - - - O002 - - - -

N858 3 18 15 18 N925 - - - - O008 - - - -

N859 6 149 143 156 N926 - - - - O009 14 15 1 17

N86 1 5 4 5 N930 - 1 1 1 O010 - - - -

N870 - - - - N938 3 7 4 7 O011 - - - -

N871 - - - - N939 22 178 156 178 O019 1 2 1 2

N872 - - - - N940 - - - - O020 1 1 - 1

N879 1 5 4 5 N941 - - - - O021 - - - -

N880 - - - - N942 - - - - O028 - - - -

N881 - - - - N943 - - - - O029 - 1 1 1

N882 6 35 29 35 N944 - - - - O030 - - - -

N883 13 20 7 20 N945 - - - - O031 - - - -

N884 - - - - N946 - 1 1 1 O032 - - - -

N888 - 15 15 15 N948 6 35 29 35 O033 - - - -

N889 - 1 1 1 N949 2 11 9 13 O034 - - - -

N890 - - - - N950 2 12 10 12 O035 1 - - -

N891 - - - - N951 3 52 49 52 O036 - 1 1 -

N892 - - - - N952 1 3 2 3 O037 - - - -

N893 - - - - N953 - - - - O038 1 1 -

-

N894 - - - - N958 - 3 3 3 O039 2 3 1 5

N895 - 1 1 1 N959 - 1 1 1 O040 - - - -

N896 - - - - N96 - - - - O041 - - - -

N897 - - - - N970 - - - - O042 - - - -

- 39 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

O043 - - - - O088 ... 6 6 8 O241 - - - -

O044 - - - - O089 ... - - - O242 - - - -

O045 - - - - O100 2 4 2 4 O243 - - - -

O046 - - - - O101 2 2 1 4 O244 1 3 2 3

O047 - - - - O102 - - - - O249 2 4 2 4

O048 1 - - - O103 - - - - O25 - 1 1 1

O049 - 1 1 1 O104 - - - - O260 - 1 1 1

O050 - - - - O109 - - - - O261 - - - -

O051 - - - - O11 1 2 1 - O262 - - - -

O052 - - - - O120 - 2 2 2 O263 - - - -

O053 - - - - O121 - - - 1 O264 - - - -

O054 - - - - O122 - - - - O265 - - - -

O055 - - - - O13 1 1 - 1 O266 7 14 7 14

O056 - - - - O140 - - - - O267 - - - -

O057 - - - - O141 19 25 6 25 O268 9 18 9 18

O058 - - - - O149 24 32 9 41 O269 - - - 1

O059 - - - - O150 7 7 - 7 O280 - - - -

O060 - 1 1 1 O151 - 1 1 1 O281 - - - -

O061 - - - - O152 1 1 - 1 O282 - - - -

O062 - - - - O159 25 30 5 30 O283 - - - -

O063 - - - - O16 12 17 5 25 O284 - - - -

O064 - - - - O200 - - - - O285 - - - -

O065 - - - - O208 - - - - O288 - - - -

O066 1 - - - O209 - - - - O289 - - - -

O067 - - - - O210 - - - - O290 1 1 - 1

O068 - 1 1 1 O211 - - - - O291 1 3 2 3

O069 3 5 2 5 O212 - - - - O292 - - - -

O070 - - - - O218 - - - - O293 - - - -

O071 - - - - O219 1 1 - 1 O294 - - - -

O072 - - - - O220 - - - - O295 - 1 1 1

O073 1 1 - - O221 - - - - O296 - - - -

O074 - - - 1 O222 - - - - O298 - - - -

O075 - - - - O223 1 1 - 1 O299 - - - -

O076 - - - - O224 - - - - O300 1 2 1 2

O077 - - - - O225 - - - - O301 1 1 - 1

O078 - - - - O228 1 1 - 1 O302 - - - -

O079 - - - - O229 2 2 - 2 O308 - - - -

O080 ... 3 3 3 O230 - - - - O309 - - - -

O081 ... 6 6 7 O231 - - - - O310 - - - -

O082 ... 1 1 1 O232 - - - - O311 - - - -

O083 ... 3 3 3 O233 - - - - O312 - - -

-

O084 ... 1 1 1 O234 - - - - O318 - - - -

O085 ... 1 1 1 O235 2 2 - 2 O320 - - - -

O086 ... - - - O239 - - - - O321 1 4 3 4

O087 ... 1 1 1 O240 1 2 1 2 O322 - - - -

- 40 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

O323 - - - - O369 - - - - O643 - - - -

O324 - - - - O40 - - - - O644 - - - -

O325 - - - - O410 - - - - O645 - - - -

O326 - - - - O411 2 4 2 4 O648 - - - -

O328 - - - - O418 - - - - O649 - - - -

O329 - - - - O419 - - - - O650 - - - -

O330 - - - - O420 - - - - O651 - - - -

O331 - - - - O421 - - - - O652 - - - -

O332 - - - - O422 - - - - O653 - - - -

O333 - - - - O429 3 3 - 3 O654 - - - -

O334 - - - - O430 - - - - O655 - - - -

O335 - - - - O431 - - - - O658 - - - -

O336 - - - - O438 - - - - O659 - - - -

O337 - - - - O439 - - - - O660 - - - -

O338 - - - - O440 - - - - O661 - - - -

O339 - 1 1 1 O441 2 12 10 12 O662 - - - -

O340 - 1 1 1 O450 - - - - O663 - - - -

O341 - 2 2 2 O458 - - - - O664 - - - -

O342 - - - - O459 11 18 7 18 O665 - - - -

O343 1 1 - 1 O460 1 1 - 1 O668 - - - -

O344 - - - - O468 2 4 2 4 O669 - - - -

O345 - - - - O469 4 12 8 13 O670 3 8 5 8

O346 - - - - O470 - - - - O678 - - - -

O347 - - - - O471 - - - - O679 5 7 2 7

O348 - 1 1 1 O479 - - - - O680 - - - -

O349 - - - - O48 - 1 1 1 O681 - - - -

O350 - - - - O60 - - - - O682 - - - -

O351 - - - - O610 - - - - O683 - - - -

O352 - - - - O611 - - - - O688 - 2 2 2

O353 - - - - O618 - - - - O689 - 1 1 1

O354 - - - - O619 - - - - O690 - - - -

O355 - - - - O620 - - - - O691 - - - -

O356 - - - - O621 - - - - O692 - 1 1 1

O357 - - - - O622 3 5 2 5 O693 - - - -

O358 - - - - O623 - - - - O694 - - - -

O359 - - - - O624 - - - - O695 - - - -

O360 - - - - O628 - - - - O698 - - - -

O361 - - - - O629 - - - - O699 - - - -

O362 - - - - O630 - - - - O700 - - - -

O363 1 2 1 2 O631 - - - - O701 - - - -

O364 11 12 1 12 O632 - - - - O702 - - -

-

O365 - - - - O639 - - - - O703 - - - -

O366 - - - - O640 - - - - O709 - - - -

O367 - - - - O641 - - - - O710 - - - -

O368 - - - - O642 - - - - O711 2 6 4 6

- 41 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

O712 - - - - O878 - - - - O988 3 12 9 19

O713 - - - - O879 - 1 1 1 O989 - 1 1 1

O714 - - - - O880 1 1 - 1 O990 1 3 2 6

O715 1 1 - 1 O881 35 43 8 43 O991 - 12 12 27

O716 - - - - O882 17 24 7 25 O992 1 7 6 16

O717 1 1 - 1 O883 - - - - O993 - 17 17 28

O718 - 1 1 1 O888 - - - - O994 16 74 58 124

O719 - - - - O890 - - - - O995 3 21 19 49

O720 7 9 2 9 O891 - 2 2 2 O996 1 8 7 11

O721 5 20 15 21 O892 - 1 1 1 O997 - - - -

O722 2 3 1 3 O893 - - - - O998 22 31 17 43

O723 3 9 6 9 O894 - - - - P000 73 87 14 87

O730 - - - - O895 - - - - P001 3 5 2 5

O731 - - - - O896 - - - - P002 15 25 10 25

O740 - - - - O898 1 1 - 1 P003 4 10 6 10

O741 - - - - O899 - - - - P004 - 1 1 1

O742 2 2 - 2 O900 - - - - P005 21 40 19 40

O743 - - - - O901 - - - - P006 - - - -

O744 - - - - O902 - - - - P007 - 1 1 1

O745 - - - - O903 22 25 3 25 P008 23 52 29 52

O746 - - - - O904 - 3 3 3 P009 2 3 1 3

O747 - - - - O905 - - - - P010 384 413 29 413

O748 1 1 - 1 O908 1 2 1 2 P011 647 925 278 925

O749 2 2 - 4 O909 - - - - P012 63 213 150 213

O750 - 1 1 1 O910 - - - - P013 23 37 14 37

O751 2 12 10 12 O911 - - - - P014 1 1 - 1

O752 - - - - O912 - - - - P015 225 460 235 460

O753 - 2 2 2 O920 - - - - P016 11 16 5 16

O754 7 13 6 13 O921 - - - - P017 - 3 3 3

O755 - - - - O922 - - - - P018 44 63 19 63

O756 - - - - O923 - - - - P019 1 1 - 1

O757 - - - - O924 - - - - P020 21 35 14 35

O758 3 3 - 3 O925 - - - - P021 445 564 119 564

O759 11 24 15 71 O926 - - - - P022 16 26 10 31

O85 5 10 5 10 O927 - - - - P023 54 114 60 114

O860 - - - - O95 5 16 11 34 P024 32 47 15 47

O861 - - - - O96 5 4 - 4 P025 17 26 9 29

O862 - - - - O97 10 14 4 14 P026 15 20 5 21

O863 - - - - O980 - 2 2 3 P027 432 604 172 604

O864 2 3 1 3 O981 - - - - P028 1 2 1 2

O868 - - - - O982 - - - - P029 - 1 1

1

O870 - - - - O983 - - - - P030 10 20 10 20

O871 - - - - O984 - - - 1 P031 7 9 2 9

O872 - - - - O985 - - - - P032 2 3 1 3

O873 - 1 1 1 O986 - 1 1 1 P033 2 2 - 2

- 42 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

P034 2 8 6 8 P129 - - - - P243 - - - -

P035 11 22 11 22 P130 - 2 2 2 P248 - - - -

P036 6 14 8 14 P131 - - - - P249 10 34 24 35

P038 63 96 33 96 P132 - - - - P250 104 248 144 248

P039 42 73 31 78 P133 - 1 1 1 P251 117 378 261 378

P040 - - - - P134 - 1 1 1 P252 1 5 4 5

P041 1 2 1 2 P138 - - - - P253 6 22 16 22

P042 - 4 4 4 P139 - 2 2 2 P258 2 4 2 4

P043 1 3 2 3 P140 - - - - P260 - - - -

P044 28 64 36 64 P141 - - - - P261 15 21 6 21

P045 - - - - P142 - - - - P268 - - - -

P046 - 1 1 1 P143 - - - - P269 254 481 227 481

P048 - 4 4 4 P148 - - - - P270 1 1 - 1

P049 2 6 4 6 P149 - - - - P271 335 477 142 477

P050 1 1 - 1 P150 4 6 2 6 P278 2 3 1 3

P051 3 19 16 19 P151 - - - - P279 42 69 27 69

P052 - - - - P152 - - - - P280 644 923 279 923

P059 58 152 94 152 P153 - - - - P281 3 13 10 13

P070 140 162 38 479 P154 - - - - P282 - 2 2 2

P071 20 30 14 115 P155 - - - - P283 - - - -

P072 3186 3573 646 9264 P156 - - - - P284 11 72 61 72

P073 1053 1639 651 5724 P158 1 3 2 3 P285 36 2153 2117 2153

P080 - - - 1 P159 11 17 6 22 P288 11 56 45 56

P081 - - - 1 P200 2 3 1 3 P289 13 17 6 23

P082 - 1 1 3 P201 - - - - P290 382 1252 870 1252

P100 - 1 1 1 P209 112 403 291 403 P291 643 1833 1190 1833

P101 - 2 2 2 P210 41 98 57 98 P292 9 35 26 35

P102 - 1 1 1 P211 - - - - P293 1 12 11 12

P103 - - - - P219 499 1176 677 1176 P294 2 12 10 12

P104 - - - - P220 1024 1668 644 1668 P298 18 62 44 62

P108 - - - - P221 - - - - P299 1 4 3 5

P109 - 1 1 1 P228 - 5 5 5 P350 8 21 13 21

P110 - - - - P229 89 197 108 201 P351 24 35 11 36

P111 1 2 1 2 P230 1 2 1 2 P352 23 29 6 29

P112 8 12 4 12 P231 - - - - P353 1 1 - 1

P113 - - - - P232 - 1 1 1 P358 2 5 3 5

P114 - - - - P233 - - - - P359 3 3 1 4

P115 2 5 3 5 P234 1 2 1 2 P360 31 49 18 49

P119 3 4 1 4 P235 2 3 1 3 P361 11 19 8 19

P120 - 1 1 1 P236 - 2 2 2 P362 9 18 9 18

P121 - - - - P238 - 1 1 1 P363 8 18 10

18

P122 - - - - P239 79 190 111 190 P364 11 21 10 21

P123 - - - - P240 71 109 38 109 P365 - - - -

P124 - - - - P241 7 11 4 11 P368 106 171 65 171

P128 - - - - P242 - - - - P369 517 1222 706 1256

- 43 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

P370 - - - - P549 15 54 39 69 P714 - - - -

P371 11 19 8 19 P550 2 5 3 6 P718 - 2 2 2

P372 2 3 1 3 P551 - 2 2 2 P719 - - - -

P373 - - - - P558 - - - 1 P720 - - - -

P374 - - - - P559 3 4 1 4 P721 - 2 2 2

P375 62 84 22 84 P560 3 2 - - P722 - - - -

P378 6 8 2 8 P569 - - - - P728 1 1 - 1

P379 - - - - P570 1 2 1 2 P729 - - - -

P38 - 10 10 10 P578 - - - - P740 4 18 14 18

P390 - - - - P579 2 2 - 2 P741 9 37 28 37

P391 - - - - P580 - - - - P742 1 1 - 1

P392 5 7 2 7 P581 1 2 1 - P743 - 1 1 1

P393 2 9 7 9 P582 1 4 3 - P744 1 5 4 5

P394 - 1 1 1 P583 - - - - P745 - - - -

P398 8 15 7 15 P584 - - - - P748 - - - -

P399 50 89 40 99 P585 - - - - P749 - - - -

P500 - 1 1 1 P588 - - - - P760 1 6 5 6

P501 1 5 4 5 P589 - - - - P761 - - - -

P502 - - - - P590 - 7 7 - P762 1 1 - 1

P503 2 4 2 4 P591 - 1 1 1 P768 1 6 5 6

P504 8 11 3 11 P592 1 4 3 4 P769 4 13 9 14

P505 - - - - P593 - - - - P77 405 464 59 464

P508 2 3 1 3 P598 - - - - P780 50 147 97 147

P509 12 16 4 16 P599 3 9 6 22 P781 16 30 14 30

P510 - - - - P60 60 212 152 212 P782 - - - -

P518 - - - - P610 1 6 5 6 P783 1 4 3 4

P519 1 1 - 1 P611 - 1 1 1 P788 - 2 2 2

P520 - 1 1 1 P612 6 89 83 1 P789 - 1 1 1

P521 - - - - P613 2 - - - P800 - - - -

P522 - 1 1 1 P614 23 58 42 146 P808 - 1 1 1

P523 270 717 447 718 P615 - 1 1 1 P809 9 27 18 27

P524 33 116 83 117 P616 3 7 4 7 P810 - 1 1 1

P525 1 5 4 5 P618 - - - - P818 - - - -

P526 1 1 - 1 P619 1 1 - 1 P819 2 2 - 2

P528 7 16 9 16 P700 4 5 1 5 P830 1 1 - 1

P529 128 267 139 272 P701 3 23 20 23 P831 - - - -

P53 1 2 1 2 P702 1 11 10 11 P832 190 344 154 346

P540 - - - - P703 1 1 - 1 P833 4 10 6 10

P541 - - - - P704 3 11 8 11 P834 - - - -

P542 - - - - P708 - - - - P835 - - - -

P543 5 17 12 17 P709 - - - - P836 - - -

-

P544 - 2 2 2 P710 - - - - P838 - - - -

P545 3 10 7 10 P711 1 7 6 7 P839 - - - -

P546 1 5 4 5 P712 - - - - P90 16 94 78 94

P548 16 51 35 51 P713 - - - - P910 6 13 7 13

- 44 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

P911 - - - - Q043 76 117 41 117 Q130 - - - -

P912 7 26 19 26 Q044 6 7 1 7 Q131 - - - -

P913 - - - - Q045 4 4 - 4 Q132 - - - -

P914 3 5 2 5 Q046 41 61 20 61 Q133 - 1 1 1

P915 - - - - Q048 22 36 14 36 Q134 - 1 1 1

P918 1 4 3 4 Q049 121 171 51 207 Q135 - - - -

P919 - - - - Q050 - - - - Q138 - - - -

P920 2 3 1 3 Q051 - 1 1 - Q139 - - - -

P921 - - - - Q052 - - - - Q140 - - - -

P922 - - - - Q053 - - - - Q141 - 1 1 1

P923 - - - - Q054 20 39 19 - Q142 - - - -

P924 - - - - Q055 1 1 - 1 Q143 - - - -

P925 - - - - Q056 1 1 - 2 Q148 - 1 1 1

P928 - - - - Q057 - 1 1 1 Q149 - - - -

P929 - 1 1 1 Q058 - - - - Q150 - 3 3 3

P93 - - - - Q059 90 217 127 256 Q158 1 4 3 4

P940 - - - - Q060 - 1 1 1 Q159 - 3 3 3

P941 - 1 1 1 Q061 - 2 2 2 Q160 - - - -

P942 4 7 3 7 Q062 - - - - Q161 - - - -

P948 - - - - Q063 - 1 1 1 Q162 - - - -

P949 - - - - Q064 - 1 1 1 Q163 - - - -

P960 45 100 55 100 Q068 - - - - Q164 - - - -

P961 1 2 1 2 Q069 3 3 - 3 Q165 - - - -

P962 - - - - Q070 22 47 25 47 Q169 - - - -

P963 - 1 1 1 Q078 2 4 2 4 Q170 - - - -

P964 43 77 34 77 Q079 25 40 15 48 Q171 - - - -

P965 - - - - Q100 - - - - Q172 - - - -

P968 51 127 76 127 Q101 - - - - Q173 - - - -

P969 14 9 - 25 Q102 - - - - Q174 - 2 2 2

Q000 317 332 15 332 Q103 - 1 1 1 Q175 - - - -

Q001 - - - - Q104 - - - - Q178 - - - -

Q002 - - - - Q105 - - - - Q179 - 6 6 6

Q010 1 1 - 1 Q106 - - - - Q180 - - - -

Q011 - - - - Q107 - - - - Q181 - - - -

Q012 4 4 - 4 Q110 - - - - Q182 - - - -

Q018 3 3 - 3 Q111 - 1 1 1 Q183 1 3 2 3

Q019 43 58 15 58 Q112 - 6 6 6 Q184 1 5 4 5

Q02 84 154 70 154 Q113 - - - - Q185 - 1 1 1

Q030 7 14 7 14 Q120 - 2 2 2 Q186 - - - -

Q031 31 48 17 48 Q121 - - - - Q187 - - - -

Q038 3 3 - 3 Q122 - - - - Q188 - - -

-

Q039 143 258 115 310 Q123 - - - - Q189 1 14 13 14

Q040 14 38 24 38 Q124 - - - - Q200 46 66 20 66

Q041 1 2 1 2 Q128 - - - - Q201 36 70 34 70

Q042 91 130 39 130 Q129 - - - - Q202 1 1 - 1

- 45 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

Q203 114 152 38 152 Q257 10 30 20 30 Q332 - 3 3 3

Q204 29 39 10 39 Q258 - 2 2 2 Q333 12 17 5 17

Q205 - - - - Q259 - - - - Q334 3 4 1 4

Q206 1 1 - 1 Q260 - - - - Q335 - - - -

Q208 45 63 18 63 Q261 - - - - Q336 503 980 477 980

Q209 - 1 1 1 Q262 15 19 4 19 Q338 1 4 3 4

Q210 241 493 252 495 Q263 1 7 6 7 Q339 18 32 14 32

Q211 331 573 244 575 Q264 30 56 26 56 Q340 - - - -

Q212 59 125 66 125 Q265 - 2 2 2 Q341 - - - -

Q213 202 303 101 303 Q266 - - - - Q348 2 4 2 4

Q214 - 1 1 1 Q268 10 21 11 21 Q349 3 6 3 7

Q218 114 152 38 152 Q269 1 3 2 4 Q351 - - - -

Q219 14 26 12 28 Q270 - 2 2 2 Q353 1 1 - 1

Q220 4 7 3 9 Q271 - - - - Q355 - - - -

Q221 3 7 4 7 Q272 - 1 1 1 Q356 - - - -

Q222 - 1 1 1 Q273 217 403 186 403 Q357 - - - -

Q223 3 8 5 8 Q274 - - - - Q359 6 29 23 54

Q224 28 43 15 43 Q278 3 12 9 14 Q360 - - - -

Q225 51 69 18 70 Q279 37 61 24 63 Q361 - - - -

Q226 10 15 5 15 Q280 3 6 3 6 Q369 1 7 6 32

Q228 3 8 5 8 Q281 1 4 3 4 Q370 - - - -

Q229 4 10 6 10 Q282 281 334 53 334 Q371 - 1 1 1

Q230 73 103 30 103 Q283 35 45 11 63 Q372 - - - -

Q231 75 154 79 154 Q288 4 7 3 7 Q373 - - - -

Q232 13 22 9 22 Q289 3 4 1 5 Q374 - - - -

Q233 10 21 11 21 Q300 - 7 7 7 Q375 - - - -

Q234 414 490 76 490 Q301 - 1 1 1 Q378 - - - -

Q238 1 5 4 5 Q302 - - - - Q379 4 28 24 3

Q239 22 35 13 36 Q303 - 1 1 1 Q380 - 1 1 1

Q240 7 26 19 27 Q308 1 1 - 1 Q381 - 1 1 1

Q241 - - - - Q309 - - - - Q382 - 7 7 7

Q242 1 4 3 4 Q310 - 2 2 2 Q383 - 2 2 2

Q243 - - - - Q311 2 2 - 2 Q384 - 1 1 1

Q244 31 60 29 60 Q312 - - - - Q385 2 3 1 3

Q245 200 308 108 308 Q313 - 1 1 1 Q386 1 1 - 1

Q246 3 14 11 14 Q314 1 2 1 2 Q387 3 3 - 3

Q248 112 190 78 190 Q318 5 6 1 6 Q388 - 3 3 3

Q249 1250 1740 491 2158 Q319 2 5 3 5 Q390 9 43 34 46

Q250 50 242 192 242 Q320 7 13 6 13 Q391 - 5 5 2

Q251 63 173 110 173 Q321 31 49 18 49 Q392 7 19 12 22

Q252 2 5 3 5 Q322 7 11 4 11 Q393 - - -

-

Q253 8 16 8 16 Q323 - - - - Q394 2 3 1 3

Q254 12 50 38 51 Q324 1 5 4 5 Q395 - - - -

Q255 55 133 78 133 Q330 8 14 6 14 Q396 18 34 16 34

Q256 44 105 61 105 Q331 - 1 1 1 Q398 - 1 1 1

- 46 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

Q399 1 3 2 3 Q503 - - - - Q561 - - - -

Q400 3 4 1 4 Q504 - - - - Q562 - - - -

Q401 1 3 2 3 Q505 - - - - Q563 - - - -

Q402 - 2 2 2 Q506 - - - - Q564 1 12 11 12

Q403 1 5 4 5 Q510 - - - - Q600 10 35 25 35

Q408 - - - - Q511 - - - - Q601 23 29 6 29

Q409 - - - - Q512 - - - - Q602 125 193 68 193

Q410 2 9 7 9 Q513 - - - - Q603 - - - -

Q411 5 9 4 9 Q514 - - - - Q604 - 1 1 1

Q412 3 4 1 4 Q515 - - - - Q605 15 29 14 29

Q418 - - - - Q516 - - - - Q606 106 162 56 162

Q419 2 4 2 4 Q517 - - - - Q610 12 47 35 47

Q420 - - - - Q518 - - - - Q611 31 73 42 73

Q421 - - - - Q519 - 1 1 1 Q612 6 17 11 17

Q422 - - - - Q520 - - - - Q613 322 693 372 696

Q423 2 31 29 31 Q521 - - - - Q614 25 116 91 116

Q428 - - - - Q522 - - - - Q615 1 5 4 5

Q429 1 1 - 1 Q523 - - - - Q618 1 3 2 3

Q430 10 22 12 22 Q524 - 1 1 1 Q619 20 53 33 53

Q431 16 33 17 33 Q525 - - - - Q620 1 5 4 5

Q432 - 1 1 1 Q526 - - - - Q621 4 4 - 4

Q433 19 29 10 29 Q527 - - - - Q622 - - - -

Q434 1 1 - 1 Q528 - 2 2 2 Q623 1 2 1 2

Q435 - - - - Q529 1 4 3 4 Q624 - - - -

Q436 - - - - Q530 - - - - Q625 - - - -

Q437 1 4 3 4 Q531 - - - - Q626 - - - -

Q438 24 33 9 34 Q532 - - - - Q627 - - - -

Q439 10 31 21 32 Q539 - - - - Q628 1 1 - 1

Q440 - - - - Q540 - - - - Q630 - - - -

Q441 - - - - Q541 - - - - Q631 2 13 11 13

Q442 6 6 - 6 Q542 - 1 1 1 Q632 - 3 3 3

Q443 - - - - Q543 - - - - Q633 - 1 1 1

Q444 1 4 3 4 Q544 - 1 1 1 Q638 2 3 1 3

Q445 26 38 12 38 Q548 - - - - Q639 7 31 24 35

Q446 10 28 18 28 Q549 1 6 5 6 Q640 - - - -

Q447 6 25 19 25 Q550 - - - - Q641 1 4 3 4

Q450 - 2 2 2 Q551 - - - - Q642 8 24 16 24

Q451 - 1 1 1 Q552 - 1 1 1 Q643 1 7 6 7

Q452 - - - - Q553 - - - - Q644 1 2 1 2

Q453 1 2 1 2 Q554 1 4 3 4 Q645 - 5 5 5

Q458 1 1 - 1 Q555 1 2 1 2 Q646 - - -

-

Q459 3 13 10 14 Q556 - 1 1 1 Q647 1 5 4 5

Q500 - - - - Q558 - - - - Q648 1 1 - 1

Q501 - - - - Q559 - - - - Q649 6 10 4 10

Q502 - - - - Q560 - - - - Q650 - - - -

- 47 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

Q651 - - - - Q711 - - - - Q770 3 8 5 8

Q652 1 3 2 3 Q712 - - - - Q771 24 35 11 35

Q653 - - - - Q713 - - - - Q772 14 21 7 21

Q654 - - - - Q714 - - - - Q773 4 9 5 9

Q655 - - - - Q715 - - - - Q774 12 29 17 29

Q656 - - - - Q716 - - - - Q775 - 1 1 1

Q658 1 5 4 5 Q718 - - - - Q776 - - - -

Q659 - 1 1 1 Q719 - - - - Q777 1 3 2 3

Q660 - - - - Q720 - - - - Q778 1 2 1 2

Q661 - - - - Q721 - - - - Q779 - - - -

Q662 - - - - Q722 - - - - Q780 64 110 46 110

Q663 - - - - Q723 - - - - Q781 2 4 2 4

Q664 - - - - Q724 - - - - Q782 10 42 32 42

Q665 - - - - Q725 - - - - Q783 - - - -

Q666 - - - - Q726 - - - - Q784 1 3 2 3

Q667 - - - - Q727 - - - - Q785 2 3 1 3

Q668 - 11 11 11 Q728 - 1 1 1 Q786 - - - -

Q669 - 1 1 1 Q729 - - - - Q788 1 4 3 4

Q670 - - - - Q730 - - - - Q789 38 70 32 70

Q671 1 1 - 1 Q731 - 1 1 1 Q790 247 334 87 334

Q672 - 2 2 2 Q738 - 1 1 1 Q791 3 19 16 20

Q673 - - - - Q740 - 6 6 6 Q792 25 75 50 75

Q674 - - - - Q741 - 1 1 1 Q793 33 55 22 55

Q675 12 37 25 37 Q742 - 5 5 5 Q794 3 12 9 12

Q676 - 4 4 4 Q743 1 6 5 6 Q795 9 13 4 13

Q677 - 1 1 1 Q748 2 3 1 3 Q796 9 26 17 26

Q678 4 13 9 13 Q749 1 11 10 11 Q798 9 23 14 23

Q680 - 1 1 1 Q750 3 9 6 10 Q799 7 14 7 15

Q681 - 1 1 1 Q751 3 4 1 4 Q800 - - - -

Q682 - - - - Q752 - 1 1 1 Q801 - - - -

Q683 - - - - Q753 1 4 3 4 Q802 1 2 1 2

Q684 - - - - Q754 1 2 1 2 Q803 - 1 1 1

Q685 - - - - Q755 - - - - Q804 1 1 - 1

Q688 5 35 30 35 Q758 3 8 5 8 Q808 1 1 - 1

Q690 - - - - Q759 7 13 6 15 Q809 3 11 8 11

Q691 - 1 1 1 Q760 2 4 2 4 Q810 - - - -

Q692 - - - - Q761 1 6 5 6 Q811 1 1 - 1

Q699 - 8 8 8 Q762 - - - - Q812 1 1 - 1

Q700 - - - - Q763 - - - - Q818 - 2 2 2

Q701 - 1 1 1 Q764 6 19 13 19 Q819 25 38 13 38

Q702 - - - - Q765 - - - - Q820 4 11 7

11

Q703 - - - - Q766 1 7 6 7 Q821 - 2 2 2

Q704 - - - - Q767 - 1 1 1 Q822 12 22 10 22

Q709 - 2 2 2 Q768 - - - - Q823 1 1 - 1

Q710 - - - - Q769 - - - - Q824 2 5 3 5

- 48 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

Q825 - - - - Q910 - - - - Q972 - - - -

Q828 4 21 17 21 Q911 1 2 1 2 Q973 - - - -

Q829 1 3 2 3 Q912 - - - - Q978 - - - -

Q830 - - - - Q913 455 495 40 495 Q979 - - - -

Q831 - - - - Q914 - - - - Q980 - - - -

Q832 - - - - Q915 - 1 1 1 Q981 - 1 1 1

Q833 - - - - Q916 1 1 - 1 Q982 - - - -

Q838 - - - - Q917 268 297 29 297 Q983 - 1 1 1

Q839 - - - - Q920 - - - - Q984 1 10 9 10

Q840 - - - - Q921 1 1 - 1 Q985 - - - -

Q841 - - - - Q922 - - - - Q986 - - - -

Q842 - - - - Q923 - - - - Q987 1 1 - 1

Q843 - - - - Q924 - - - - Q988 - - - -

Q844 - - - - Q925 1 2 1 2 Q989 - - - -

Q845 - - - - Q926 - - - - Q990 - - - -

Q846 - - - - Q927 8 9 1 9 Q991 1 2 1 2

Q848 - - - - Q928 30 44 14 44 Q992 - 8 8 8

Q849 - - - - Q929 25 32 7 32 Q998 27 43 16 43

Q850 89 304 215 304 Q930 - - - - Q999 83 122 39 158

Q851 13 31 18 31 Q931 - - - - R000 10 938 928 938

Q858 15 32 17 32 Q932 - - - - R001 59 2156 2097 2156

Q859 2 3 1 3 Q933 11 14 3 14 R002 - 12 12 12

Q860 5 12 7 12 Q934 10 14 4 14 R008 1 60 59 60

Q861 1 1 - 1 Q935 17 25 8 25 R010 - - - -

Q862 - 1 1 1 Q936 - - - - R011 - 91 91 91

Q868 4 9 5 9 Q937 - - - - R012 - - - -

Q870 15 44 29 44 Q938 9 18 9 18 R02 112 7095 6983 9072

Q871 61 124 63 124 Q939 4 6 2 6 R030 - 1 1 1

Q872 15 50 36 51 Q950 - - - - R031 - - - -

Q873 2 9 7 9 Q951 1 1 - 1 R040 4 198 194 198

Q874 110 167 57 167 Q952 - - - - R041 - 35 35 35

Q875 - - - - Q953 - - - - R042 25 1071 1046 1071

Q878 37 68 31 68 Q954 - - - - R048 62 1953 1891 1953

Q890 15 60 45 60 Q955 - - - - R049 - 30 30 30

Q891 8 14 6 14 Q958 - - - - R05 - 51 51 52

Q892 4 9 5 9 Q959 1 1 - 1 R060 61 2290 2229 2290

Q893 10 29 19 29 Q960 - - - - R061 - 11 11 11

Q894 22 31 9 31 Q961 - - - - R062 - 12 12 12

Q897 333 402 69 785 Q962 - - - - R063 - 20 20 20

Q898 97 169 72 169 Q963 - - - - R064 15 1046 1031 1046

Q899 138 253 116 371 Q964 - 1 1 1 R065 - 1 1

1

Q900 - - - - Q968 - - - - R066 - 7 7 7

Q901 - 1 1 1 Q969 15 46 31 46 R067 - 1 1 1

Q902 - 1 1 1 Q970 - 2 2 2 R068 123 7263 7140 7263

Q909 619 1469 850 1469 Q971 - 1 1 1 R070 - - - -

- 49 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

R071 - - - - R230 - 33 33 33 R430 - - - -

R072 1 3 2 3 R231 - - - - R431 - - - -

R073 - 9 9 9 R232 - - - - R432 - 1 1 1

R074 5 196 191 196 R233 - 22 22 22 R438 - - - -

R090 168 16767 16599 16767 R234 - 1 1 1 R440 - 2 2 2

R091 - 90 90 90 R238 - 10 10 10 R441 - 1 1 1

R092 2292 72670 70378 72670 R250 - - - - R442 - 2 2 2

R093 - 2 2 2 R251 - 63 63 63 R443 - 29 29 29

R098 40 1127 1087 1127 R252 - 56 56 56 R448 - 3 3 3

R100 26 536 510 536 R253 - - - - R450 - 10 10 10

R101 - 8 8 8 R258 - 8 8 8 R451 2 172 170 172

R102 - 13 13 13 R260 - 10 10 10 R452 - - - -

R103 - 2 2 2 R261 - - - - R453 - 4 4 4

R104 38 758 720 758 R262 - 3 3 3 R454 - 2 2 2

R11 3 933 930 936 R268 - 103 103 103 R455 - - - -

R12 - 2 2 2 R270 1 163 162 163 R456 - 3 3 3

R13 31 14381 14350 14381 R278 - 45 45 45 R457 - - - -

R14 2 96 94 96 R290 - 1 1 1 R458 - - - -

R15 - 46 46 46 R291 - 1 1 1 R460 - 6 6 6

R160 1 266 265 267 R292 - 4 4 4 R461 - - - -

R161 1 245 244 246 R293 - 1 1 1 R462 - 1 1 1

R162 - 95 95 94 R294 - - - - R463 - - - -

R17 4 743 739 743 R298 48 1064 1016 1064 R464 - - - -

R18 12 4178 4166 4178 R300 - 3 3 3 R465 - - - -

R190 25 561 536 561 R301 - - - - R466 - - - -

R191 - 3 3 3 R309 - - - - R467 - - - -

R192 1 7 6 7 R31 3 510 507 510 R468 - 9 9 9

R193 - 1 1 1 R32 - 335 335 335 R470 3 1622 1619 1622

R194 - - - - R33 - 530 530 530 R471 - 52 52 52

R195 - 2 2 2 R34 1 338 337 338 R478 - 12 12 12

R196 - - - - R35 - 6 6 6 R480 - - - -

R198 151 2122 1971 2122 R36 - - - - R481 - 2 2 2

R200 - 7 7 7 R390 - 3 3 3 R482 - 17 17 17

R201 - - - - R391 - 3 3 3 R488 - 3 3 3

R202 - 4 4 4 R392 - - - - R490 - 11 11 11

R203 - 1 1 1 R398 - 1 1 1 R491 - 5 5 5

R208 - 3 3 3 R400 - 5 5 5 R492 - - - -

R21 - 20 20 20 R401 - 71 71 71 R498 - 1 1 1

R220 - 6 6 6 R402 19 2745 2726 3038 R500 - - - -

R221 2 78 76 78 R410 2 287 285 287 R501 - 2 2 2

R222 1 76 75 76 R411 - - - - R509 52 1275 1223

1275

R223 1 3 2 3 R412 - - - - R51 2 82 80 82

R224 - 6 6 6 R413 - 71 71 71 R520 - 1 1 1

R227 - - - - R418 - 57 57 58 R521 - 1 1 1

R229 - 2 2 2 R42 - 154 154 154 R522 3 540 537 540

- 50 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

R529 1 537 536 537 R749 - 1 1 1 R838 - - - -

R53 223 7560 7337 7569 R75 9 476 467 476 R839 - - - -

R54 3150 20150 17000 20151 R760 - 2 2 2 R840 - - - -

R55 18 1240 1222 1240 R761 - 1 1 1 R841 - - - -

R560 - 13 13 13 R762 - - - - R842 - - - -

R568 1046 20299 19253 20299 R768 - 1 1 1 R843 - - - -

R570 516 19081 18565 19081 R769 - - - - R844 - - - -

R571 34 1835 1801 1835 R770 - - - - R845 - 1 1 1

R578 34 1233 1199 1233 R771 - 4 4 4 R846 - - - -

R579 265 11736 11471 11736 R772 - - - - R847 - - - -

R580 - - - - R778 - 1 1 1 R848 - - - -

R58 199 4723 4521 4699 R779 - 3 3 3 R849 - - - -

R590 1 59 58 60 R780 2 725 723 756 R850 - - - -

R591 2 73 71 74 R781 - 2 2 2 R851 - - - -

R599 1 62 61 63 R782 - 4 4 4 R852 - - - -

R600 1 285 284 286 R783 - - - - R853 - - - -

R601 7 950 943 952 R784 - - - - R854 - 1 1 1

R609 3 797 794 797 R785 - - - - R855 - - - -

R610 - - - - R786 - - - - R856 - - - -

R611 - 1 1 1 R787 - - - - R857 - - - -

R619 - 3 3 3 R788 - 3 3 3 R858 - - - -

R620 - - - - R789 - 1 1 1 R859 - - - -

R628 564 9002 8439 9220 R790 - 1 1 1 R860 - - - -

R629 2 144 142 144 R798 12 2189 2177 2206 R861 - - - -

R630 53 4050 3997 4050 R799 - - - - R862 - 1 1 1

R631 - 18 18 18 R80 - 50 50 56 R863 - - - -

R632 - 22 22 22 R81 - 1 1 1 R864 - - - -

R633 - 164 164 164 R820 - - - - R865 - - - -

R634 8 1094 1086 1094 R821 - 27 27 27 R866 - - - -

R635 - 4 4 4 R822 - - - - R867 - - - -

R638 - 12 12 12 R823 - 2 2 2 R868 - 1 1 1

R64 378 12221 11843 13346 R824 - - - - R869 - - - -

R680 2 95 93 95 R825 - - - - R870 - - - -

R681 - - - - R826 - 4 4 4 R871 - - - -

R682 - - - - R827 - 1 1 1 R872 - - - -

R683 - - - - R828 - - - - R873 - - - -

R688 64 3257 3193 3257 R829 - - - - R874 - - - -

R700 - 4 4 4 R830 - - - - R875 - - - -

R701 - - - - R831 - - - - R876 - - - -

R71 - - - - R832 - - - - R877 - - - -

R72 - 4 4 4 R833 - - - - R878 - - -

-

R730 - 44 44 44 R834 - - - - R879 - - - -

R739 10 836 826 836 R835 - - - - R890 - - - -

R740 - 3 3 3 R836 - - - - R891 - - - -

R748 - 8 8 8 R837 - - - - R892 1 1 - 1

- 51 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

R893 - 3 3 3 S011 ... 6 6 6 S061 ... 403 403 403

R894 - - - - S012 ... 10 10 10 S062 ... 2856 2856 2856

R895 - - - - S013 ... 26 26 26 S063 ... 47 47 47

R896 - - - - S014 ... 15 15 15 S064 ... 164 164 164

R897 - 3 3 3 S015 ... 1049 1049 1049 S065 ... 5980 5980 5981

R898 - 5 5 5 S017 ... 48 48 48 S066 ... 831 831 831

R899 - - - - S018 ... 1327 1327 1327 S067 ... 2 2 2

R900 5 62 57 62 S019 ... 16157 16157 16160 S068 ... 2482 2482 2482

R908 - - - - S020 ... 76 76 76 S069 ... 5206 5206 5206

R91 93 2194 2101 2194 S021 ... 777 777 777 S070 ... 6 6 6

R92 - - - - S022 ... 26 26 26 S071 ... 46 46 46

R930 - - - - S023 ... 1 1 1 S078 ... - - -

R931 - 1 1 1 S024 ... 24 24 24 S079 ... 235 235 235

R932 - - - - S025 ... 1 1 1 S080 ... - - -

R933 - 2 2 2 S026 ... 66 66 66 S081 ... 4 4 4

R934 - - - - S027 ... 330 330 330 S088 ... 4 4 4

R935 - - - - S028 ... 34 34 34 S089 ... 8 8 8

R936 - - - - S029 ... 2705 2705 2705 S090 ... 10 10 10

R937 - - - - S030 ... 4 4 4 S091 ... 2 2 2

R938 - 10 10 10 S031 ... - - - S092 ... 1 1 1

R940 - 2 2 2 S032 ... - - - S097 ... 640 640 640

R941 - - - - S033 ... 2 2 2 S098 ... 2900 2900 2900

R942 - 2 2 2 S034 ... - - - S099 ... 21305 21305 21305

R943 2 21 19 21 S035 ... - - - S100 ... 3 3 3

R944 - 2 2 2 S040 ... 2 2 2 S101 ... 5 5 5

R945 - 40 40 40 S041 ... - - - S107 ... 3 3 3

R946 - - - - S042 ... - - - S108 ... 14 14 14

R947 - - - - S043 ... 1 1 1 S109 ... 21 21 21

R948 - - - - S044 ... - - - S110 ... 23 23 23

R95 2648 2687 39 2687 S045 ... - - - S111 ... - - -

R960 363 395 32 395 S046 ... - - - S112 ... 5 5 5

R961 - - - - S047 ... - - - S117 ... 785 785 787

R97 - - - - S048 ... 1 1 1 S118 ... 101 101 101

R98 31 35 4 35 S049 ... 27 27 27 S119 ... 773 773 773

R99 13511 29971 14891 28388 S050 ... 1 1 1 S120 ... 79 79 79

S000 ... 32 32 32 S051 ... 2 2 2 S121 ... 124 124 124

S001 ... 3 3 3 S052 ... - - - S122 ... 34 34 34

S002 ... 2 2 2 S053 ... 8 8 8 S127 ... 205 205 205

S003 ... 4 4 4 S054 ... 5 5 5 S128 ... 37 37 37

S004 ... - - - S055 ... - - - S129 ... 2237 2237 2237

S005 ... 4 4 4 S056 ... 1 1 1 S130 ... 1 1

1

S007 ... 4 4 4 S057 ... 8 8 8 S131 ... 378 378 378

S008 ... 63 63 63 S058 ... 11 11 11 S132 ... - - -

S009 ... 83 83 83 S059 ... 52 52 52 S133 ... - - -

S010 ... 101 101 101 S060 ... 133 133 133 S134 ... 21 21 21

- 52 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

S135 ... - - - S230 ... 1 1 1 S308 ... 39 39 39

S136 ... 1 1 1 S231 ... 7 7 7 S309 ... 20 20 20

S140 ... 4 4 4 S232 ... - - - S310 ... 139 139 139

S141 ... 335 335 335 S233 ... - - - S311 ... 72 72 72

S142 ... 3 3 3 S234 ... - - - S312 ... - - -

S143 ... 1 1 1 S235 ... - - - S313 ... 3 3 3

S144 ... - - - S240 ... 2 2 2 S314 ... - - -

S145 ... - - - S241 ... 6 6 6 S315 ... 1 1 1

S146 ... 3 3 3 S242 ... 1 1 1 S317 ... 20 20 20

S150 ... 165 165 165 S243 ... - - - S318 ... 1580 1580 1580

S151 ... 35 35 35 S244 ... - - - S320 ... 284 284 284

S152 ... 79 79 79 S245 ... - - - S321 ... 28 28 28

S153 ... 16 16 16 S246 ... 7 7 7 S322 ... 5 5 5

S157 ... 1 1 1 S250 ... 1675 1675 1675 S323 ... 8 8 8

S158 ... 2 2 2 S251 ... 50 50 50 S324 ... 64 64 64

S159 ... 13 13 13 S252 ... 78 78 78 S325 ... 86 86 86

S16 ... 3 3 3 S253 ... 17 17 17 S327 ... 50 50 50

S170 ... 9 9 9 S254 ... 106 106 106 S328 ... 1301 1301 1301

S178 ... 1 1 1 S255 ... 18 18 18 S330 ... - - -

S179 ... 34 34 34 S257 ... - - - S331 ... 4 4 4

S18 ... 96 96 96 S258 ... 25 25 25 S332 ... 1 1 1

S197 ... 132 132 132 S259 ... 17 17 17 S333 ... - - -

S198 ... 525 525 526 S260 ... 115 115 115 S334 ... - - -

S199 ... 2505 2505 2505 S268 ... 1025 1025 1025 S335 ... 5 5 5

S200 ... - - - S269 ... 644 644 644 S336 ... - - -

S201 ... - - - S270 ... 372 372 372 S337 ... 1 1 1

S202 ... 69 69 69 S271 ... 682 682 682 S340 ... - - -

S203 ... 2 2 2 S272 ... 142 142 142 S341 ... 5 5 5

S204 ... - - - S273 ... 1675 1675 1675 S342 ... - - -

S207 ... 3 3 3 S274 ... 20 20 20 S343 ... - - -

S208 ... 20 20 20 S275 ... 2 2 2 S344 ... 1 1 1

S210 ... 8 8 8 S276 ... 19 19 19 S345 ... 1 1 1

S211 ... 11 11 11 S277 ... 16 16 16 S346 ... - - -

S212 ... 801 801 801 S278 ... 327 327 327 S348 ... 4 4 4

S217 ... 44 44 44 S279 ... 448 448 448 S350 ... 84 84 84

S218 ... 30 30 30 S280 ... 655 655 655 S351 ... 93 93 93

S219 ... 6149 6149 6150 S281 ... 1 1 1 S352 ... 18 18 18

S220 ... 269 269 269 S290 ... 1 1 1 S353 ... 26 26 26

S221 ... 6 6 6 S297 ... 298 298 298 S354 ... 18 18 18

S222 ... 135 135 135 S298 ... 91 91 91 S355 ... 64 64 64

S223 ... 1345 1345 1345 S299 ... 6784 6784 6784 S357 ... 1 1

1

S224 ... 638 638 638 S300 ... 8 8 8 S358 ... 1 1 1

S225 ... 222 222 222 S301 ... 16 16 16 S359 ... 22 22 22

S228 ... 3 3 3 S302 ... 1 1 1 S360 ... 778 778 778

S229 ... 68 68 68 S307 ... 2 2 2 S361 ... 1183 1183 1183

- 53 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

S362 ... 59 59 59 S432 ... 2 2 2 S520 ... 68 68 68

S363 ... 92 92 92 S433 ... - - - S521 ... - - -

S364 ... 73 73 73 S434 ... 2 2 2 S522 ... 37 37 37

S365 ... 68 68 68 S435 ... - - - S523 ... - - -

S366 ... 19 19 19 S436 ... - - - S524 ... - - -

S367 ... 109 109 109 S437 ... - - - S525 ... 5 5 5

S368 ... 765 765 765 S440 ... - - - S526 ... - - -

S369 ... 752 752 752 S441 ... - - - S527 ... 3 3 3

S370 ... 232 232 232 S442 ... - - - S528 ... 52 52 52

S371 ... - - - S443 ... - - - S529 ... 26 26 26

S372 ... 38 38 38 S444 ... - - - S530 ... - - -

S373 ... 3 3 3 S445 ... - - - S531 ... 2 2 2

S374 ... - - - S447 ... - - - S532 ... - - -

S375 ... - - - S448 ... - - - S533 ... - - -

S376 ... 5 5 5 S449 ... - - - S534 ... - - -

S377 ... 11 11 11 S450 ... 7 7 7 S540 ... - - -

S378 ... 22 22 22 S451 ... 17 17 17 S541 ... - - -

S379 ... 5 5 5 S452 ... 10 10 10 S542 ... - - -

S380 ... - - - S453 ... - - - S543 ... - - -

S381 ... 141 141 141 S457 ... - - - S547 ... - - -

S382 ... - - - S458 ... - - - S548 ... - - -

S383 ... - - - S459 ... 7 7 7 S549 ... - - -

S390 ... 1 1 1 S460 ... 3 3 3 S550 ... 5 5 5

S396 ... 6 6 6 S461 ... - - - S551 ... 22 22 22

S397 ... 101 101 101 S462 ... 1 1 1 S552 ... - - -

S398 ... 695 695 695 S463 ... - - - S557 ... - - -

S399 ... 1761 1761 1761 S467 ... - - - S558 ... 1 1 1

S400 ... 7 7 7 S468 ... - - - S559 ... - - -

S407 ... 1 1 1 S469 ... 2 2 2 S560 ... - - -

S408 ... - - - S47 ... 2 2 2 S561 ... 1 1 1

S409 ... 2 2 2 S480 ... - - - S562 ... - - -

S410 ... 119 119 119 S481 ... - - - S563 ... - - -

S411 ... 25 25 25 S489 ... 3 3 3 S564 ... - - -

S417 ... 11 11 11 S497 ... 5 5 5 S565 ... - - -

S418 ... 15 15 15 S498 ... 23 23 23 S567 ... - - -

S420 ... 128 128 128 S499 ... 40 40 40 S568 ... - - -

S421 ... 19 19 19 S500 ... 4 4 4 S570 ... - - -

S422 ... 10 10 10 S501 ... - - - S578 ... - - -

S423 ... 724 724 724 S507 ... - - - S579 ... - - -

S424 ... 10 10 10 S508 ... 1 1 1 S580 ... - - -

S427 ... 1 1 1 S509 ... - - - S581 ... - -

-

S428 ... - - - S510 ... 16 16 16 S589 ... 2 2 2

S429 ... 160 160 160 S517 ... 4 4 4 S597 ... 1 1 1

S430 ... 23 23 23 S518 ... 5 5 5 S598 ... 1 1 1

S431 ... - - - S519 ... 60 60 60 S599 ... 13 13 13

- 54 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

S600 ... - - - S660 ... - - - S748 ... - - -

S601 ... - - - S661 ... - - - S749 ... - - -

S602 ... 2 2 2 S662 ... - - - S750 ... 49 49 49

S607 ... 1 1 1 S663 ... - - - S751 ... 18 18 18

S608 ... 2 2 2 S664 ... - - - S752 ... - - -

S609 ... 6 6 6 S665 ... - - - S757 ... - - -

S610 ... 6 6 6 S666 ... - - - S758 ... - - -

S611 ... - - - S667 ... - - - S759 ... 16 16 16

S617 ... 14 14 14 S668 ... - - - S760 ... - - -

S618 ... 1 1 1 S669 ... - - - S761 ... 2 2 2

S619 ... 220 220 220 S670 ... - - - S762 ... - - -

S620 ... - - - S678 ... 1 1 1 S763 ... - - -

S621 ... - - - S680 ... - - - S764 ... 1 1 1

S622 ... 1 1 1 S681 ... 1 1 1 S767 ... - - -

S623 ... - - - S682 ... - - - S770 ... 2 2 2

S624 ... - - - S683 ... - - - S771 ... - - -

S625 ... 2 2 2 S684 ... - - - S780 ... - - -

S626 ... 3 3 3 S688 ... - - - S781 ... - - -

S627 ... - - - S689 ... - - - S789 ... 2 2 2

S628 ... 145 145 145 S697 ... - - - S797 ... 2 2 2

S630 ... - - - S698 ... 1 1 1 S798 ... 58 58 58

S631 ... 1 1 1 S699 ... 77 77 77 S799 ... 104 104 104

S632 ... - - - S700 ... 21 21 21 S800 ... 3 3 3

S633 ... - - - S701 ... - - - S801 ... 1 1 1

S634 ... - - - S707 ... 1 1 1 S807 ... 1 1 1

S635 ... - - - S708 ... 3 3 3 S808 ... 1 1 1

S636 ... - - - S709 ... 14 14 14 S809 ... 1 1 1

S637 ... - - - S710 ... 44 44 44 S810 ... 11 11 11

S640 ... - - - S711 ... 107 107 107 S817 ... 5 5 5

S641 ... - - - S717 ... 2 2 2 S818 ... 1 1 1

S642 ... - - - S718 ... - - - S819 ... 18 18 18

S643 ... - - - S720 ... 12661 12661 12661 S820 ... 100 100 100

S644 ... - - - S721 ... 280 280 280 S821 ... 13 13 13

S647 ... - - - S722 ... 18 18 18 S822 ... 377 377 377

S648 ... - - - S723 ... 15 15 15 S823 ... 5 5 5

S649 ... - - - S724 ... 24 24 24 S824 ... 207 207 207

S650 ... - - - S727 ... 903 903 903 S825 ... 1 1 1

S651 ... 1 1 1 S728 ... 11 11 11 S826 ... 1 1 1

S652 ... - - - S729 ... 2066 2066 2066 S827 ... 12 12 12

S653 ... - - - S730 ... 69 69 69 S828 ... 250 250 250

S654 ... - - - S731 ... - - - S829 ... 22 22

22

S655 ... - - - S740 ... - - - S830 ... 2 2 2

S657 ... - - - S741 ... - - - S831 ... 3 3 3

S658 ... - - - S742 ... - - - S832 ... 1 1 1

S659 ... - - - S747 ... - - - S833 ... - - -

- 55 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

S834 ... - - - S917 ... - - - S999 ... 13 13 13

S835 ... - - - S920 ... 4 4 4 T002 ... 1 1 1

S836 ... 2 2 2 S921 ... 3 3 3 T003 ... 1 1 1

S837 ... 1 1 1 S922 ... - - - T008 ... 2 2 2

S840 ... - - - S923 ... 4 4 4 T009 ... 56 56 56

S841 ... - - - S924 ... - - - T012 ... 17 17 17

S842 ... - - - S925 ... 6 6 6 T013 ... 11 11 11

S847 ... - - - S927 ... - - - T019 ... 2911 2911 2911

S848 ... - - - S929 ... 25 25 25 T021 ... 30 30 30

S849 ... - - - S930 ... 4 4 4 T022 ... 7 7 7

S850 ... 5 5 5 S931 ... 1 1 1 T023 ... 22 22 22

S851 ... 8 8 8 S932 ... - - - T024 ... 4 4 4

S852 ... - - - S933 ... - - - T025 ... 35 35 35

S853 ... - - - S934 ... 3 3 3 T028 ... 3 3 3

S854 ... - - - S935 ... - - - T029 ... 627 627 627

S855 ... 1 1 1 S936 ... - - - T031 ... - - -

S857 ... - - - S940 ... - - - T032 ... - - -

S858 ... - - - S941 ... - - - T033 ... - - -

S859 ... 5 5 5 S942 ... - - - T038 ... 1 1 1

S860 ... 7 7 7 S943 ... - - - T039 ... 2 2 2

S861 ... - - - S947 ... - - - T041 ... 45 45 45

S862 ... - - - S948 ... - - - T042 ... 10 10 10

S863 ... - - - S949 ... - - - T043 ... 21 21 21

S867 ... - - - S950 ... - - - T048 ... 3 3 3

S868 ... 4 4 4 S951 ... - - - T049 ... 61 61 61

S869 ... - - - S952 ... - - - T050 ... - - -

S870 ... - - - S957 ... - - - T052 ... - - -

S878 ... 1 1 1 S958 ... - - - T053 ... - - -

S880 ... 2 2 2 S959 ... 3 3 3 T055 ... 8 8 8

S881 ... 2 2 2 S960 ... - - - T058 ... 10 10 10

S889 ... 10 10 10 S961 ... - - - T059 ... - - -

S897 ... 10 10 10 S962 ... - - - T062 ... 1 1 1

S898 ... 1 1 1 S967 ... - - - T063 ... 6 6 6

S899 ... 36 36 36 S968 ... - - - T064 ... 4 4 4

S900 ... 1 1 1 S969 ... - - - T065 ... 775 775 775

S901 ... - - - S970 ... - - - T07 ... 16217 16217 16217

S902 ... - - - S971 ... - - - T08 ... 661 661 661

S903 ... 1 1 1 S978 ... 2 2 2 T090 ... 27 27 27

S907 ... - - - S980 ... - - - T091 ... 997 997 997

S908 ... 1 1 1 S981 ... 1 1 1 T092 ... 12 12 12

S909 ... 1 1 1 S982 ... 1 1 1 T093 ... 742 742

742

S910 ... 6 6 6 S983 ... - - - T094 ... 3 3 3

S911 ... 1 1 1 S984 ... 7 7 7 T095 ... 3 3 3

S912 ... - - - S997 ... - - - T096 ... 2 2 2

S913 ... 21 21 21 S998 ... 4 4 4 T098 ... 1076 1076 1076

- 56 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

T099 ... 1871 1871 1871 T181 ... 9 9 9 T240 ... 41 41 41

T10 ... 212 212 212 T182 ... 36 36 36 T241 ... - - -

T110 ... 10 10 10 T183 ... 4 4 4 T242 ... 2 2 2

T111 ... 375 375 375 T184 ... 4 4 4 T243 ... 9 9 9

T112 ... - - - T185 ... - - - T244 ... - - -

T113 ... - - - T188 ... - - - T245 ... - - -

T114 ... 2 2 2 T189 ... 431 431 431 T246 ... - - -

T115 ... 3 3 3 T190 ... - - - T247 ... - - -

T116 ... 27 27 27 T191 ... 2 2 2 T250 ... 11 11 11

T118 ... 24 24 24 T192 ... - - - T251 ... - - -

T119 ... 81 81 81 T193 ... - - - T252 ... 2 2 2

T12 ... 346 346 346 T198 ... - - - T253 ... 1 1 1

T130 ... 22 22 22 T199 ... 1 1 1 T254 ... - - -

T131 ... 213 213 213 T200 ... 43 43 43 T255 ... - - -

T132 ... 3 3 3 T201 ... - - - T256 ... - - -

T133 ... - - - T202 ... 3 3 3 T257 ... - - -

T134 ... - - - T203 ... 9 9 9 T260 ... - - -

T135 ... 1 1 1 T204 ... 1 1 1 T261 ... - - -

T136 ... 32 32 32 T205 ... - - - T262 ... - - -

T138 ... 98 98 98 T206 ... - - - T263 ... - - -

T139 ... 179 179 179 T207 ... - - - T264 ... - - -

T140 ... 401 401 401 T210 ... 202 202 202 T265 ... - - -

T141 ... 6098 6098 6098 T211 ... - - - T266 ... - - -

T142 ... 733 733 733 T212 ... 7 7 7 T267 ... - - -

T143 ... 34 34 34 T213 ... 25 25 25 T268 ... - - -

T144 ... 52 52 52 T214 ... 1 1 1 T269 ... - - -

T145 ... 252 252 252 T215 ... - - - T270 ... 4 4 4

T146 ... 17 17 17 T216 ... - - - T271 ... 7 7 7

T147 ... 416 416 416 T217 ... - - - T272 ... 1 1 1

T148 ... 1937 1937 1938 T220 ... 25 25 25 T273 ... 105 105 105

T149 ... 9775 9775 9775 T221 ... - - - T274 ... - - -

T150 ... - - - T222 ... 1 1 1 T275 ... 1 1 1

T151 ... 1 1 1 T223 ... 7 7 7 T276 ... 2 2 2

T158 ... - - - T224 ... - - - T277 ... 2 2 2

T159 ... 3 3 3 T225 ... - - - T280 ... 2 2 2

T16 ... - - - T226 ... - - - T281 ... - - -

T170 ... 2 2 2 T227 ... - - - T282 ... 4 4 4

T171 ... 10 10 10 T230 ... 4 4 4 T283 ... - - -

T172 ... 39 39 39 T231 ... - - - T284 ... 1 1 1

T173 ... 23 23 23 T232 ... 1 1 1 T285 ... - - -

T174 ... 60 60 60 T233 ... 2 2 2 T286 ... - -

-

T175 ... 49 49 49 T234 ... - - - T287 ... - - -

T178 ... 370 370 370 T235 ... - - - T288 ... - - -

T179 ... 14796 14796 14802 T236 ... - - - T289 ... - - -

T180 ... 6 6 6 T237 ... - - - T300 ... 1991 1991 1991

- 57 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

T301 ... 3 3 3 T348 ... - - - T400 ... 4 4 4

T302 ... 28 28 28 T349 ... - - - T401 ... 2103 2103 2103

T303 ... 112 112 112 T350 ... - - - T402 ... 2915 2915 2915

T304 ... 11 11 11 T351 ... - - - T403 ... 831 831 831

T305 ... - - - T352 ... - - - T404 ... 772 772 772

T306 ... - - - T353 ... - - - T405 ... 4494 4494 4494

T307 ... 1 1 1 T354 ... 2 2 2 T406 ... 3121 3121 3121

T310 ... 15 15 15 T355 ... 6 6 6 T407 ... 49 49 49

T311 ... 51 51 51 T356 ... - - - T408 ... 4 4 4

T312 ... 45 45 45 T357 ... 10 10 10 T409 ... 10 10 10

T313 ... 70 70 70 T360 ... 1 1 1 T410 ... 36 36 36

T314 ... 44 44 44 T361 ... 2 2 2 T411 ... 36 36 36

T315 ... 46 46 46 T362 ... - - - T412 ... 23 23 23

T316 ... 74 74 74 T363 ... 1 1 1 T413 ... 15 15 15

T317 ... 53 53 53 T364 ... 1 1 1 T414 ... 14 14 14

T318 ... 55 55 55 T365 ... 12 12 12 T415 ... 5 5 5

T319 ... 336 336 336 T366 ... 1 1 1 T420 ... 66 66 66

T320 ... - - - T367 ... 1 1 1 T421 ... 42 42 42

T321 ... - - - T368 ... 3 3 3 T422 ... - - -

T322 ... - - - T369 ... 2 2 2 T423 ... 331 331 331

T323 ... - - - T370 ... 2 2 2 T424 ... 1219 1219 1219

T324 ... - - - T371 ... 5 5 5 T425 ... 1 1 1

T325 ... - - - T372 ... 6 6 6 T426 ... 158 158 158

T326 ... - - - T373 ... - - - T427 ... 29 29 29

T327 ... - - - T374 ... - - - T428 ... 147 147 147

T328 ... 1 1 1 T375 ... - - - T430 ... 1261 1261 1262

T329 ... 1 1 1 T378 ... 6 6 6 T431 ... 9 9 9

T330 ... - - - T379 ... 1 1 1 T432 ... 687 687 687

T331 ... - - - T380 ... 1 1 1 T433 ... 141 141 141

T332 ... - - - T381 ... 1 1 1 T434 ... 17 17 17

T333 ... - - - T382 ... 1 1 1 T435 ... 189 189 189

T334 ... - - - T383 ... 84 84 84 T436 ... 700 700 700

T335 ... - - - T384 ... - - - T438 ... 17 17 17

T336 ... - - - T385 ... - - - T439 ... 1 1 1

T337 ... - - - T386 ... - - - T440 ... - - -

T338 ... - - - T387 ... 9 9 9 T441 ... 1 1 1

T339 ... - - - T388 ... 2 2 2 T442 ... - - -

T340 ... 1 1 1 T389 ... 1 1 1 T443 ... 23 23 23

T341 ... - - - T390 ... 183 183 183 T444 ... - - -

T342 ... - - - T391 ... 455 455 456 T445 ... 2 2 2

T343 ... - - - T392 ... - - - T446 ... 1 1

1

T344 ... - - - T393 ... 127 127 127 T447 ... 48 48 48

T345 ... - - - T394 ... - - - T448 ... - - -

T346 ... - - - T398 ... 30 30 30 T449 ... 40 40 40

T347 ... - - - T399 ... - - - T450 ... 408 408 408

- 58 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

T451 ... 105 105 105 T498 ... 3 3 3 T565 ... 1 1 1

T452 ... 3 3 3 T499 ... 1 1 1 T566 ... - - -

T453 ... 2 2 2 T500 ... 2 2 2 T567 ... - - -

T454 ... 4 4 4 T501 ... 8 8 8 T568 ... 66 66 66

T455 ... 136 136 136 T502 ... 5 5 5 T569 ... - - -

T456 ... 3 3 3 T503 ... 26 26 26 T570 ... 3 3 3

T457 ... 5 5 5 T504 ... 8 8 8 T571 ... 5 5 5

T458 ... 1 1 1 T505 ... 22 22 22 T572 ... - - -

T459 ... 1 1 1 T506 ... 3 3 3 T573 ... 1 1 1

T460 ... 426 426 426 T507 ... 3 3 3 T578 ... 4 4 4

T461 ... 115 115 115 T508 ... 17 17 17 T579 ... 1 1 1

T462 ... 109 109 109 T509 ... 9380 9380 9381 T58 ... 2877 2877 2877

T463 ... 5 5 5 T510 ... 1290 1290 1290 T590 ... 5 5 5

T464 ... 4 4 4 T511 ... 23 23 23 T591 ... 3 3 3

T465 ... 13 13 13 T512 ... 40 40 40 T592 ... 2 2 2

T466 ... 1 1 1 T513 ... 2 2 2 T593 ... - - -

T467 ... - - - T518 ... 13 13 13 T594 ... 2 2 2

T468 ... - - - T519 ... 763 763 763 T595 ... - - -

T469 ... 2 2 2 T520 ... 15 15 15 T596 ... 4 4 4

T470 ... 3 3 3 T521 ... 1 1 1 T597 ... 15 15 15

T471 ... 2 2 2 T522 ... 29 29 29 T598 ... 2646 2646 2646

T472 ... - - - T523 ... 8 8 8 T599 ... 366 366 366

T473 ... - - - T524 ... 6 6 6 T600 ... 9 9 9

T474 ... - - - T528 ... 88 88 88 T601 ... 2 2 2

T475 ... 1 1 1 T529 ... 14 14 14 T602 ... 2 2 2

T476 ... 1 1 1 T530 ... 2 2 2 T603 ... 6 6 6

T477 ... 1 1 1 T531 ... 1 1 1 T604 ... 7 7 7

T478 ... 2 2 2 T532 ... 2 2 2 T608 ... 6 6 6

T479 ... 3 3 3 T533 ... 1 1 1 T609 ... 14 14 14

T480 ... - - - T534 ... 2 2 2 T610 ... - - -

T481 ... 21 21 21 T535 ... 15 15 15 T611 ... - - -

T482 ... - - - T536 ... 1 1 1 T612 ... 1 1 1

T483 ... 38 38 38 T537 ... 1 1 1 T618 ... - - -

T484 ... 12 12 12 T539 ... 1 1 1 T619 ... - - -

T485 ... 5 5 5 T540 ... - - - T620 ... 4 4 4

T486 ... 57 57 57 T541 ... - - - T621 ... - - -

T487 ... 6 6 6 T542 ... 22 22 22 T622 ... 3 3 3

T490 ... 11 11 11 T543 ... 18 18 18 T628 ... - - -

T491 ... 1 1 1 T549 ... 9 9 9 T629 ... 3 3 3

T492 ... - - - T55 ... 1 1 1 T630 ... 4 4 4

T493 ... 2 2 2 T560 ... 5 5 5 T631 ... 1 1

1

T494 ... 4 4 4 T561 ... 4 4 4 T632 ... 1 1 1

T495 ... - - - T562 ... - - - T633 ... 7 7 7

T496 ... 1 1 1 T563 ... 1 1 1 T634 ... 44 44 44

T497 ... - - - T564 ... - - - T635 ... - - -

- 59 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

T636 ... - - - T742 ... 2 2 2 T819 ... 719 719 719

T638 ... - - - T743 ... - - - T820 ... 113 113 113

T639 ... 2 2 2 T748 ... 113 113 113 T821 ... 85 85 85

T64 ... - - - T749 ... 25 25 25 T822 ... 47 47 47

T650 ... 34 34 34 T750 ... 12 12 12 T823 ... 56 56 56

T651 ... 7 7 7 T751 ... 5472 5472 5473 T824 ... 15 15 15

T652 ... 9 9 9 T752 ... 1 1 1 T825 ... 38 38 38

T653 ... 4 4 4 T753 ... - - - T826 ... 181 181 181

T654 ... - - - T754 ... 510 510 510 T827 ... 978 978 978

T655 ... - - - T758 ... 270 270 270 T828 ... 4261 4261 4261

T656 ... 5 5 5 T780 ... 9 9 9 T829 ... 375 375 375

T658 ... 8 8 8 T781 ... 13 13 13 T830 ... 10 10 10

T659 ... 150 150 150 T782 ... 168 168 168 T831 ... 3 3 3

T66 ... 40 40 40 T783 ... 44 44 44 T832 ... 2 2 2

T670 ... 542 542 543 T784 ... 107 107 107 T833 ... 2 2 2

T671 ... 1 1 1 T788 ... - - - T834 ... 2 2 2

T672 ... - - - T789 ... 2 2 2 T835 ... 374 374 374

T673 ... - - - T790 ... 52 52 52 T836 ... 5 5 5

T674 ... - - - T791 ... 165 165 165 T838 ... 54 54 54

T675 ... 109 109 109 T792 ... - - - T839 ... 54 54 54

T676 ... - - - T793 ... 50 50 50 T840 ... 57 57 57

T677 ... - - - T794 ... 764 764 764 T841 ... 4 4 4

T678 ... 115 115 115 T795 ... 5 5 5 T842 ... 4 4 4

T679 ... 322 322 322 T796 ... 42 42 42 T843 ... 4 4 4

T68 ... 1139 1139 1139 T797 ... 159 159 159 T844 ... - - -

T690 ... 2 2 2 T798 ... 1212 1212 1211 T845 ... 138 138 138

T691 ... - - - T799 ... 38 38 38 T846 ... 16 16 16

T698 ... 7 7 7 T800 ... 4 4 4 T847 ... 16 16 16

T699 ... 202 202 203 T801 ... 1 1 1 T848 ... 228 228 228

T700 ... - - - T802 ... 87 87 87 T849 ... 27 27 27

T701 ... - - - T803 ... 1 1 1 T850 ... 44 44 44

T702 ... 29 29 29 T804 ... - - - T851 ... 1 1 1

T703 ... 1 1 1 T805 ... - - - T852 ... 1 1 1

T704 ... - - - T806 ... 3 3 3 T853 ... 2 2 2

T708 ... 2 2 2 T808 ... 46 46 46 T854 ... - - -

T709 ... 1 1 1 T809 ... 134 134 134 T855 ... 47 47 47

T71 ... 9106 9106 9108 T810 ... 964 964 964 T856 ... 69 69 69

T730 ... 218 218 218 T811 ... 292 292 292 T857 ... 292 292 292

T731 ... 4 4 4 T812 ... 523 523 523 T858 ... 283 283 283

T732 ... 2 2 2 T813 ... 240 240 240 T859 ... 233 233 233

T733 ... 31 31 31 T814 ... 2311 2311 2311 T860 ... 859 859

859

T738 ... 3 3 3 T815 ... 6 6 6 T861 ... 280 280 280

T739 ... 2 2 2 T816 ... 19 19 19 T862 ... 261 261 261

T740 ... 47 47 47 T817 ... 1644 1644 1644 T863 ... 15 15 15

T741 ... 21 21 21 T818 ... 3341 3341 3342 T864 ... 239 239 239

- 60 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

T868 ... 242 242 242 T931 ... 455 455 455 V099 468 470 2 470

T869 ... 69 69 69 T932 ... 26 26 26 V100 - - - -

T870 ... - - - T933 ... - - - V101 - - - -

T871 ... 1 1 1 T934 ... 1 1 1 V102 - - - -

T872 ... 1 1 1 T935 ... - - - V103 - - - -

T873 ... 3 3 3 T936 ... 1 1 1 V104 - - - -

T874 ... 190 190 190 T938 ... - - - V105 - - - -

T875 ... 46 46 46 T939 ... 10 10 10 V109 - - - -

T876 ... 147 147 147 T940 ... 32 32 32 V110 1 1 - 1

T880 ... - - - T941 ... 324 324 324 V111 - - - -

T881 ... 4 4 4 T950 ... 3 3 3 V112 - - - -

T882 ... 2 2 2 T951 ... 2 2 2 V113 - - - -

T883 ... 2 2 2 T952 ... - - - V114 3 3 - 3

T884 ... 11 11 11 T953 ... - - - V115 - - - -

T885 ... 14 14 14 T954 ... 1 1 1 V119 2 2 - 2

T886 ... 36 36 36 T958 ... 3 3 3 V120 - - - -

T887 ... 311 311 311 T959 ... 23 23 23 V121 1 1 - 1

T888 ... 62 62 62 T96 ... 48 48 48 V122 - - - -

T889 ... 401 401 401 T97 ... 45 45 45 V123 - - - -

T900 ... 7 7 7 T980 ... 186 186 186 V124 3 3 - 3

T901 ... 67 67 67 T981 ... 122 122 122 V125 - - - -

T902 ... 26 26 26 T982 ... 31 31 31 V129 2 2 - 2

T903 ... 9 9 9 T983 ... 839 839 839 V130 3 3 - 3

T904 ... 6 6 6 V010 2 3 1 3 V131 19 19 - 19

T905 ... 650 650 650 V011 7 7 - 7 V132 2 2 - 2

T908 ... 114 114 114 V019 - 1 1 1 V133 - - - -

T909 ... 364 364 364 V020 2 2 - 2 V134 177 179 2 179

T910 ... 85 85 85 V021 29 29 - 29 V135 4 4 - 4

T911 ... 144 144 144 V029 - - - - V139 207 207 - 207

T912 ... 48 48 48 V030 187 191 4 191 V140 1 1 - 1

T913 ... 586 586 586 V031 2877 2905 28 2905 V141 - - - -

T914 ... 23 23 23 V039 21 22 1 22 V142 1 1 - 1

T915 ... 20 20 20 V040 36 36 - 36 V143 - - - -

T918 ... 138 138 138 V041 233 233 - 233 V144 11 11 - 11

T919 ... 85 85 85 V049 4 4 - 4 V145 - - - -

T920 ... 1 1 1 V050 198 198 - 198 V149 23 23 - 23

T921 ... 24 24 24 V051 74 75 1 75 V150 3 3 - 3

T922 ... 1 1 1 V059 168 168 - 168 V151 - - - -

T923 ... 1 1 1 V060 7 7 - 7 V152 - - - -

T924 ... - - - V061 1 1 - 1 V153 - - - -

T925 ... - - - V069 1 1 - 1 V154 - - -

-

T926 ... - - - V090 78 80 2 80 V155 - - - -

T928 ... 1 1 1 V091 147 149 2 149 V159 6 6 - 6

T929 ... 4 4 4 V092 1381 1400 19 1400 V160 - - - -

T930 ... 12 12 12 V093 126 126 - 126 V161 - - - -

- 61 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

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NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

V162 - - - - V223 - - - - V289 43 44 1 44

V163 - - - - V224 18 18 - 18 V290 9 9 - 9

V164 - - - - V225 3 3 - 3 V291 1 1 - 1

V165 - - - - V229 5 5 - 5 V292 4 4 - 4

V169 - - - - V230 3 3 - 3 V293 14 14 - 14

V170 2 2 - 2 V231 1 1 - 1 V294 186 187 1 187

V171 - 1 1 1 V232 - - - - V295 36 36 - 36

V172 3 3 - 3 V233 - - - - V296 49 49 - 49

V173 - - - - V234 522 524 2 524 V298 14 14 - 14

V174 2 2 - 2 V235 57 57 - 57 V299 386 392 6 392

V175 1 1 - 1 V239 107 109 2 109 V300 - - - -

V179 5 5 - 5 V240 - - - - V301 - - - -

V180 11 11 - 11 V241 - - - - V302 - - - -

V181 1 1 - 1 V242 - - - - V303 - - - -

V182 8 9 1 9 V243 - - - - V304 - - - -

V183 - - - - V244 44 44 - 44 V305 - - - -

V184 14 17 3 17 V245 4 4 - 4 V306 - - - -

V185 - - - - V249 12 12 - 12 V307 - - - -

V189 31 34 3 34 V250 - - - - V309 - - - -

V190 - - - - V251 - - - - V310 - - - -

V191 4 4 - 4 V252 - - - - V311 - - - -

V192 6 6 - 6 V253 - - - - V312 - - - -

V193 5 5 - 5 V254 5 5 - 5 V313 - - - -

V194 97 97 - 97 V255 - - - - V314 - - - -

V195 3 3 - 3 V259 1 1 - 1 V315 - - - -

V196 88 88 - 88 V260 - - - - V316 - - - -

V198 7 8 1 8 V261 - - - - V317 - - - -

V199 43 44 1 44 V262 - - - - V319 - - - -

V200 - - - - V263 - - - - V320 - - - -

V201 - - - - V264 2 2 - 2 V321 - - - -

V202 - - - - V265 - - - - V322 - - - -

V203 - - - - V269 - - - - V323 - - - -

V204 21 22 1 22 V270 4 4 - 4 V324 1 1 - 1

V205 5 5 - 5 V271 1 1 - 1 V325 - - - -

V209 3 3 - 3 V272 3 3 - 3 V326 - - - -

V210 - - - - V273 - - - - V327 - - - -

V211 - - - - V274 331 332 2 332 V329 - - - -

V212 - - - - V275 36 36 - 36 V330 - - - -

V213 - - - - V279 66 67 1 67 V331 - - - -

V214 1 1 - 1 V280 11 11 - 11 V332 - - - -

V215 1 1 - 1 V281 - - - - V333 - - -

-

V219 - - - - V282 7 7 - 7 V334 - - - -

V220 3 3 - 3 V283 - - - - V335 3 3 - 3

V221 1 1 - 1 V284 266 270 4 270 V336 1 1 - 1

V222 - - - - V285 30 30 - 30 V337 - - - -

- 62 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

V339 1 1 - 1 V389 4 4 - 4 V439 560 575 15 575

V340 - - - - V390 - - - - V440 2 2 - 2

V341 - - - - V391 - - - - V441 2 2 - 2

V342 - - - - V392 1 1 - 1 V442 - - - -

V343 - - - - V393 4 4 - 4 V443 - - - -

V344 - - - - V394 3 3 - 3 V444 - - - -

V345 - - - - V395 - - - - V445 657 662 5 662

V346 - - - - V396 - - - - V446 258 258 - 258

V347 - - - - V398 - - - - V447 - - - -

V349 - 1 1 1 V399 1 1 - 1 V449 85 85 - 85

V350 - - - - V400 - - - - V450 4 4 - 4

V351 - - - - V401 - - - - V451 6 6 - 6

V352 - - - - V402 - - - - V452 - - - -

V353 - - - - V403 - - - - V453 5 5 - 5

V354 - - - - V404 - - - - V454 - - - -

V355 - - - - V405 19 20 1 20 V455 76 76 - 76

V356 - - - - V406 9 9 - 9 V456 32 32 - 32

V357 - - - - V407 1 1 - 1 V457 - - - -

V359 - - - - V409 17 17 - 17 V459 37 38 1 38

V360 - - - - V410 - - - - V460 - - - -

V361 - - - - V411 - - - - V461 - - - -

V362 - - - - V412 - - - - V462 - - - -

V363 - - - - V413 - - - - V463 - - - -

V364 - - - - V414 - - - - V464 - - - -

V365 - - - - V415 - - - - V465 7 7 - 7

V366 - - - - V416 - - - - V466 1 1 - 1

V367 - - - - V417 - - - - V467 - - - -

V369 - - - - V419 - - - - V469 - - - -

V370 - - - - V420 - - - - V470 11 11 - 11

V371 1 1 - 1 V421 - - - - V471 8 8 - 8

V372 - - - - V422 - - - - V472 1 1 - 1

V373 - - - - V423 1 1 - 1 V473 6 6 - 6

V374 - - - - V424 - - - - V474 3 3 - 3

V375 4 4 - 4 V425 11 11 - 11 V475 1861 1904 43 1904

V376 - - - - V426 7 7 - 7 V476 712 716 4 716

V377 - - - - V427 - - - - V477 1 1 - 1

V379 - - - - V429 6 6 - 6 V479 381 396 15 396

V380 - - - - V430 8 9 1 9 V480 13 13 - 13

V381 1 1 - 1 V431 4 4 - 4 V481 7 7 - 7

V382 - - - - V432 - - - - V482 2 2 - 2

V383 1 1 - 1 V433 - - - - V483 10 11 1

11

V384 - - - - V434 - - - - V484 8 12 4 12

V385 6 6 - 6 V435 2988 3030 42 3030 V485 1436 1446 10 1446

V386 1 1 - 1 V436 1497 1516 19 1516 V486 650 653 3 653

V387 - - - - V437 2 2 - 2 V487 3 3 - 3

- 63 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

V489 421 427 6 427 V539 52 52 - 52 V589 119 120 1 120

V490 3 4 1 4 V540 - - - - V590 1 1 - 1

V491 3 4 1 4 V541 - - - - V591 1 1 - 1

V492 5 6 1 6 V542 - - - - V592 - - - -

V493 9 9 - 9 V543 - - - - V593 5 5 - 5

V494 396 405 9 405 V544 - - - - V594 67 70 3 70

V495 326 330 4 330 V545 286 289 3 289 V595 59 60 1 60

V496 291 301 10 301 V546 90 90 - 90 V596 23 23 - 23

V498 30 30 - 30 V547 - - - - V598 34 35 1 35

V499 1650 1712 62 1712 V549 26 26 - 26 V599 113 117 4 117

V500 - - - - V550 5 5 - 5 V600 - - - -

V501 - - - - V551 - - - - V601 - - - -

V502 - - - - V552 - - - - V602 - - - -

V503 - - - - V553 5 5 - 5 V603 2 2 - 2

V504 - - - - V554 - - - - V604 - - - -

V505 3 3 - 3 V555 30 30 - 30 V605 4 4 - 4

V506 1 1 - 1 V556 10 10 - 10 V606 - - - -

V507 1 1 - 1 V557 - - - - V607 - - - -

V509 2 2 - 2 V559 10 10 - 10 V609 - - - -

V510 - - - - V560 - - - - V610 - - - -

V511 - - - - V561 - - - - V611 - - - -

V512 - - - - V562 - - - - V612 - - - -

V513 - - - - V563 - - - - V613 - - - -

V514 - - - - V564 - - - - V614 - - - -

V515 - - - - V565 2 2 - 2 V615 - - - -

V516 - - - - V566 - - - - V616 - - - -

V517 - - - - V567 - - - - V617 - - - -

V519 - - - - V569 1 1 - 1 V619 - - - -

V520 - - - - V570 5 5 - 5 V620 - - - -

V521 - - - - V571 1 1 - 1 V621 - - - -

V522 - - - - V572 1 1 - 1 V622 - - - -

V523 - - - - V573 - - - - V623 - - - -

V524 - - - - V574 - - - - V624 - - - -

V525 3 3 - 3 V575 469 476 7 476 V625 1 1 - 1

V526 - - - - V576 122 123 1 123 V626 - - - -

V527 - - - - V577 - - - - V627 - - - -

V529 2 2 - 2 V579 62 63 1 63 V629 - - - -

V530 1 1 - 1 V580 4 4 - 4 V630 - - - -

V531 - - - - V581 4 4 - 4 V631 - - - -

V532 - - - - V582 3 3 - 3 V632 - - - -

V533 1 1 - 1 V583 8 8 - 8 V633 - - -

-

V534 1 1 - 1 V584 1 2 1 2 V634 - - - -

V535 478 484 6 484 V585 534 541 7 541 V635 30 31 1 31

V536 194 196 2 196 V586 287 289 2 289 V636 7 7 - 7

V537 - - - - V587 6 6 - 6 V637 - 1 1 1

- 64 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

V639 7 8 1 8 V689 40 41 1 41 V739 2 2 - 2

V640 2 2 - 2 V690 - - - - V740 - - - -

V641 - - - - V691 - - - - V741 - - - -

V642 - - - - V692 - - - - V742 - - - -

V643 - - - - V693 2 2 - 2 V743 - - - -

V644 - - - - V694 13 13 - 13 V744 - - - -

V645 50 50 - 50 V695 9 9 - 9 V745 5 5 - 5

V646 3 3 - 3 V696 3 3 - 3 V746 5 5 - 5

V647 - - - - V698 9 9 - 9 V747 - - - -

V649 9 9 - 9 V699 14 15 1 15 V749 1 1 - 1

V650 - - - - V700 - - - - V750 - - - -

V651 - - - - V701 - - - - V751 - 1 1 1

V652 - - - - V702 - - - - V752 - - - -

V653 - - - - V703 - - - - V753 - - - -

V654 - - - - V704 - - - - V754 - - - -

V655 6 6 - 6 V705 - - - - V755 - - - -

V656 2 2 - 2 V706 - - - - V756 - - - -

V657 - - - - V707 - - - - V757 - - - -

V659 - - - - V709 1 1 - 1 V759 - - - -

V660 - - - - V710 - - - - V760 - - - -

V661 - - - - V711 - - - - V761 - - - -

V662 - - - - V712 - - - - V762 - - - -

V663 - - - - V713 - - - - V763 - - - -

V664 - - - - V714 - - - - V764 - - - -

V665 - - - - V715 - - - - V765 - - - -

V666 - - - - V716 - - - - V766 - - - -

V667 - - - - V717 - - - - V767 - - - -

V669 - - - - V719 - - - - V769 - - - -

V670 2 2 - 2 V720 - - - - V770 - - - -

V671 - - - - V721 - - - - V771 - - - -

V672 - - - - V722 - - - - V772 - - - -

V673 1 1 - 1 V723 - - - - V773 - - - -

V674 - - - - V724 - - - - V774 - - - -

V675 61 61 - 61 V725 - - - - V775 - - - -

V676 8 8 - 8 V726 - - - - V776 8 8 - 8

V677 - - - - V727 - - - - V777 - - - -

V679 10 11 1 11 V729 - - - - V779 - - - -

V680 - - - - V730 - - - - V780 - - - -

V681 2 2 - 2 V731 - - - - V781 - - - -

V682 - - - - V732 - - - - V782 - - - -

V683 3 3 - 3 V733 - - - - V783 - - -

-

V684 3 3 - 3 V734 - - - - V784 2 2 - 2

V685 98 98 - 98 V735 3 3 - 3 V785 1 3 2 3

V686 18 19 1 19 V736 1 1 - 1 V786 2 2 - 2

V687 3 3 - 3 V737 - - - - V787 - - - -

- 65 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

V789 - - - - V835 3 3 - 3 V884 1 1 - 1

V790 - - - - V836 1 1 - 1 V885 - - - -

V791 - - - - V837 3 3 - 3 V886 1 1 - 1

V792 - - - - V839 3 5 2 5 V887 36 38 2 38

V793 2 2 - 2 V840 42 42 - 42 V888 10 10 - 10

V794 2 2 - 2 V841 - - - - V889 3 3 - 3

V795 - - - - V842 1 1 - 1 V890 96 103 7 103

V796 2 2 - 2 V843 12 13 1 13 V891 6 6 - 6

V798 3 3 - 3 V844 1 3 2 3 V892 11066 11384 319 11385

V799 22 22 - 22 V845 43 45 2 45 V893 2 2 - 2

V800 74 75 1 75 V846 2 2 - 2 V899 604 694 90 694

V801 - - - - V847 16 16 - 16 V900 - - - -

V802 - - - - V849 231 238 7 238 V901 1 1 - 1

V803 - - - - V850 13 14 1 14 V902 23 23 - 23

V804 9 9 - 9 V851 - - - - V903 22 22 - 22

V805 - - - - V852 1 1 - 1 V904 4 4 - 4

V806 - - - - V853 4 4 - 4 V905 34 34 - 34

V807 - - - - V854 - - - - V906 7 7 - 7

V808 1 1 - 1 V855 9 9 - 9 V907 1 1 - 1

V809 26 30 4 30 V856 - - - - V908 7 7 - 7

V810 10 10 - 10 V857 4 4 - 4 V909 169 169 - 169

V811 - - - - V859 7 9 2 9 V910 1 1 - 1

V812 7 7 - 7 V860 118 119 1 119 V911 - - - -

V813 3 3 - 3 V861 24 24 - 24 V912 - - - -

V814 - - - - V862 1 1 - 1 V913 25 25 - 25

V815 3 3 - 3 V863 83 83 - 83 V914 - - - -

V816 12 12 - 12 V864 - - - - V915 1 1 - 1

V817 1 1 - 1 V865 133 133 - 133 V916 - - - -

V818 7 7 - 7 V866 17 17 - 17 V917 - - - -

V819 11 12 1 12 V867 6 6 - 6 V918 1 1 - 1

V820 - - - - V869 221 222 1 222 V919 51 52 1 52

V821 - - - - V870 57 58 1 58 V920 - - - -

V822 - - - - V871 12 13 1 13 V921 4 4 - 4

V823 - - - - V872 258 261 3 261 V922 19 19 - 19

V824 1 1 - 1 V873 11 11 - 11 V923 15 15 - 15

V825 - - - - V874 81 82 1 82 V924 2 2 - 2

V826 - - - - V875 3 3 - 3 V925 21 21 - 21

V827 - - - - V876 24 24 - 24 V926 15 15 - 15

V828 - - - - V877 3135 3182 47 3182 V927 2 2 - 2

V829 - - - - V878 569 576 7 576 V928 11 11 - 11

V830 - - - - V879 10 10 - 10 V929 144 145 1

145

V831 2 2 - 2 V880 - - - - V930 1 1 - 1

V832 3 3 - 3 V881 - - - - V931 - - - -

V833 2 2 - 2 V882 - - - - V932 - - - -

V834 1 1 - 1 V883 - - - - V933 2 2 - 2

- 66 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

V934 1 1 - 1 W10 1421 1570 149 1570 W58 - - - -

V935 - - - - W11 320 349 29 349 W59 45 119 74 119

V936 - - - - W12 55 56 1 56 W60 - - - -

V937 - - - - W13 550 609 59 609 W64 13 13 - 13

V938 - - - - W14 72 75 3 75 W65 290 317 27 317

V939 14 15 1 15 W15 83 83 - 83 W66 30 32 2 32

V940 - - - - W16 61 70 9 70 W67 421 426 5 426

V941 - - - - W17 552 585 33 585 W68 109 111 2 111

V942 - - - - W18 674 834 160 834 W69 949 961 12 961

V943 10 10 - 10 W19 7807 10892 3090 10897 W70 263 268 5 268

V944 - - - - W20 701 712 11 712 W73 222 227 5 227

V945 2 2 - 2 W21 10 10 - 10 W74 1245 1288 43 1288

V946 1 1 - 1 W22 131 143 12 143 W75 330 343 13 343

V947 3 3 - 3 W23 93 100 7 100 W76 307 314 7 314

V948 2 2 - 2 W24 117 118 1 118 W77 47 50 3 50

V949 63 63 - 63 W25 30 32 2 32 W78 417 1297 880 1297

V950 59 59 - 59 W26 3 4 1 4 W79 640 1227 587 1227

V951 33 33 - 33 W27 6 7 1 7 W80 2828 17772 14949 17772

V952 60 60 - 60 W28 23 24 1 24 W81 16 18 2 18

V953 30 30 - 30 W29 6 7 1 7 W83 154 172 18 172

V954 - - - - W30 198 212 14 212 W84 764 2027 1265 2027

V958 30 30 - 30 W31 307 314 7 314 W85 127 129 2 129

V959 459 462 3 462 W32 130 132 2 132 W86 147 153 6 153

V960 1 1 - 1 W33 112 111 1 113 W87 163 169 6 169

V961 6 6 - 6 W34 582 621 39 621 W88 - - - -

V962 - - - - W35 6 6 - 6 W89 - - - -

V968 5 5 - 5 W36 6 6 - 6 W90 - - - -

V969 1 1 - 1 W37 14 15 1 15 W91 - - - -

V970 1 1 - 1 W38 7 7 - 7 W92 15 19 4 19

V971 2 2 - 2 W39 7 7 - 7 W93 3 3 - 3

V972 24 25 1 25 W40 166 172 6 172 W94 22 37 15 37

V973 4 4 - 4 W41 3 3 - 3 W99 2 3 1 3

V978 - - - - W42 - - - - X00 2676 2734 58 2734

V98 8 9 1 9 W43 - - - - X01 78 79 1 79

V99 6 7 1 7 W44 32 43 11 43 X02 56 62 6 62

W00 74 83 9 83 W45 6 7 1 7 X03 32 33 1 33

W01 611 821 210 821 W49 43 57 14 57 X04 73 76 3 76

W02 57 70 13 70 W50 35 40 5 40 X05 6 6 - 6

W03 15 17 2 17 W51 17 20 3 20 X06 112 127 15 127

W04 13 18 5 18 W52 - - - - X08 69 74 5 74

W05 169 233 64 233 W53 1 2 1 2 X09 246 336 90

336

W06 400 589 190 590 W54 25 28 3 28 X10 5 7 2 7

W07 178 261 83 261 W55 68 72 4 72 X11 51 60 9 60

W08 46 57 11 57 W56 - - - - X12 15 21 6 21

W09 4 4 - 4 W57 10 16 6 16 X13 5 5 - 5

- 67 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

X14 2 2 - 2 X61 859 906 47 906 Y060 - - - -

X15 11 13 2 13 X62 380 409 29 409 Y061 - - - -

X16 17 22 5 22 X63 22 23 1 23 Y062 1 1 - 1

X17 2 2 - 2 X64 1747 1827 80 1827 Y068 3 7 4 7

X18 6 6 - 6 X65 24 210 186 210 Y069 34 47 13 47

X19 9 13 4 13 X66 64 66 2 66 Y070 1 1 - 1

X20 7 8 1 8 X67 1535 1545 10 1545 Y071 7 7 - 7

X21 6 10 4 10 X68 16 17 1 17 Y072 1 1 - 1

X22 - - - - X69 73 78 5 78 Y073 - - - -

X23 43 50 7 50 X70 5427 5461 34 5461 Y078 9 9 - 9

X24 1 1 - 1 X71 311 318 7 318 Y079 171 181 10 181

X25 2 2 - 2 X72 3476 3489 13 3489 Y08 741 813 72 813

X26 - - - - X73 2776 2801 25 2801 Y09 1411 1507 96 1507

X27 - - - - X74 10347 10420 73 10421 Y10 38 42 4 42

X28 - - - - X75 8 9 1 9 Y11 231 257 26 257

X29 2 2 - 2 X76 171 180 9 180 Y12 1425 1519 94 1519

X30 594 971 377 971 X77 - - - - Y13 4 7 3 7

X31 598 926 329 926 X78 404 435 31 435 Y14 775 826 52 826

X32 3 4 1 4 X79 3 4 1 4 Y15 17 135 118 135

X33 64 65 1 65 X80 693 699 6 699 Y16 9 11 2 11

X34 2 2 - 2 X81 272 275 3 275 Y17 80 81 1 81

X35 - - - - X82 87 90 3 90 Y18 2 3 1 3

X36 44 44 - 44 X83 196 210 14 210 Y19 14 19 5 19

X37 129 129 - 129 X84 116 174 58 174 Y20 110 118 8 118

X38 15 17 2 17 X85 40 53 13 53 Y21 243 252 9 252

X39 39 47 8 47 X86 2 2 - 2 Y22 70 70 - 70

X40 168 215 47 215 X87 - - - - Y23 33 34 1 34

X41 671 863 192 863 X88 19 21 2 21 Y24 221 226 5 226

X42 6009 6887 878 6887 X89 4 5 1 5 Y25 6 6 - 6

X43 21 30 9 30 X90 2 3 1 3 Y26 70 74 4 74

X44 4286 5333 1047 5333 X91 708 744 36 744 Y27 1 1 - 1

X45 320 1586 1266 1586 X92 70 75 5 75 Y28 12 17 5 17

X46 63 70 7 70 X93 1082 1090 8 1090 Y29 3 3 - 3

X47 534 589 56 589 X94 693 700 7 700 Y30 59 64 5 64

X48 12 15 3 15 X95 9053 9084 31 9084 Y31 45 46 1 46

X49 102 183 81 183 X96 1 2 1 2 Y32 30 32 2 32

X50 21 40 19 40 X97 190 202 12 202 Y33 122 149 27 149

X51 - - - - X98 7 7 - 7 Y34 258 298 40 298

X52 - - - - X99 1879 1959 80 1959 Y350 299 299 - 299

X53 137 201 64 201 Y00 242 261 19 261 Y351 1 1 - 1

X54 1 2 1 2 Y01 17 18 1 18 Y352 - - -

-

X57 32 78 46 78 Y02 85 86 1 86 Y353 1 1 - 1

X58 77 116 39 116 Y03 106 109 3 109 Y354 - - - -

X59 7459 18744 11286 18744 Y04 166 204 38 204 Y355 88 96 8 96

X60 173 176 3 176 Y05 4 7 3 7 Y356 8 10 2 10

- 68 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

Y357 - - - - Y436 1 7 6 7 Y492 - 3 3 3

Y360 - - - - Y438 - - - - Y493 1 5 4 5

Y361 - - - - Y439 - 1 1 1 Y494 2 7 5 7

Y362 - - - - Y440 2 5 3 5 Y495 - 15 15 15

Y363 - - - - Y441 - 1 1 1 Y496 - 2 2 2

Y364 - 1 1 1 Y442 17 1169 1152 1169 Y497 2 7 5 7

Y365 - - - - Y443 9 60 51 60 Y498 - 1 1 1

Y366 - - - - Y444 - 1 1 1 Y499 - 1 1 1

Y367 - - - - Y445 4 240 236 240 Y500 - 1 1 1

Y368 - 1 1 1 Y446 - 2 2 2 Y501 - - - -

Y369 2 7 5 7 Y447 - - - - Y502 - - - -

Y400 3 14 11 14 Y449 1 20 19 20 Y508 - 1 1 1

Y401 6 18 12 18 Y450 8 46 38 46 Y509 - 2 2 2

Y402 - - - - Y451 1 21 20 21 Y510 - - - -

Y403 1 1 - 1 Y452 1 13 12 13 Y511 - - - -

Y404 - 1 1 1 Y453 1 33 32 33 Y512 - - - -

Y405 - 5 5 5 Y454 - 1 1 1 Y513 - 5 5 5

Y406 - 2 2 2 Y455 1 12 11 12 Y514 - - - -

Y407 - 2 2 2 Y458 2 8 6 8 Y515 - - - -

Y408 3 30 27 30 Y459 1 1 - 1 Y516 - - - -

Y409 7 107 100 107 Y460 - 1 1 1 Y517 - 3 3 3

Y410 1 3 2 3 Y461 - - - - Y518 - 1 1 1

Y411 - 10 10 10 Y462 4 18 14 18 Y519 - 3 3 3

Y412 - 1 1 1 Y463 - - - - Y520 1 13 12 13

Y413 - - - - Y464 - 4 4 4 Y521 - 2 2 2

Y414 - - - - Y465 - 6 6 6 Y522 - 44 44 44

Y415 - 15 15 15 Y466 1 2 1 2 Y523 - 1 1 1

Y418 - 3 3 3 Y467 - 3 3 3 Y524 3 9 6 9

Y419 - 2 2 2 Y468 - 1 1 1 Y525 - 3 3 3

Y420 - 58 58 58 Y470 - 2 2 2 Y526 - 2 2 2

Y421 - - - - Y471 - 2 2 2 Y527 - - - -

Y422 - 19 19 19 Y472 - - - - Y528 - - - -

Y423 12 60 48 60 Y473 - - - - Y529 1 2 1 2

Y424 - 2 2 2 Y474 - - - - Y530 1 2 1 2

Y425 - 1 1 1 Y475 - - - - Y531 - 1 1 1

Y426 - - - - Y478 - - - - Y532 - - - -

Y427 - 389 389 389 Y479 - 6 6 6 Y533 - - - -

Y428 - 4 4 4 Y480 1 2 1 2 Y534 - 3 3 3

Y429 - - - - Y481 - 1 1 1 Y535 - 3 3 3

Y430 1 3 2 3 Y482 - 6 6 6 Y536 - - - -

Y431 1 49 48 49 Y483 1 32 31 32 Y537 - - -

-

Y432 - 3 3 3 Y484 5 35 30 35 Y538 1 1 - 1

Y433 7 1391 1384 1391 Y485 1 2 1 2 Y539 - - - -

Y434 5 633 628 633 Y490 - - - - Y540 1 1 - 1

Y435 - - - - Y491 - - - - Y541 - - - -

- 69 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

Y542 - - - - Y590 - 1 1 1 Y641 - - - -

Y543 - 2 2 2 Y591 - - - - Y648 - 1 1 1

Y544 - 1 1 1 Y592 - - - - Y649 - 17 17 17

Y545 2 16 14 16 Y593 - 7 7 7 Y650 - 3 3 3

Y546 1 3 2 3 Y598 - - - - Y651 - - - -

Y547 - 1 1 1 Y599 2 3 1 3 Y652 - - - -

Y548 1 4 3 4 Y600 41 187 146 187 Y653 - 1 1 1

Y549 - 2 2 2 Y601 1 2 1 2 Y654 1 2 1 2

Y550 - - - - Y602 4 17 13 17 Y655 - - - -

Y551 - - - - Y603 2 2 - 2 Y658 30 100 70 100

Y552 - 1 1 1 Y604 12 31 19 31 Y66 - - - -

Y553 - 1 1 1 Y605 6 32 26 32 Y69 6 14 8 14

Y554 - - - - Y606 17 61 44 61 Y700 - 1 1 1

Y555 - - - - Y607 1 6 5 6 Y701 - - - -

Y556 1 6 5 6 Y608 29 121 93 121 Y702 - - - -

Y557 - 1 1 1 Y609 10 24 14 24 Y703 - - - -

Y560 - 65 65 65 Y610 2 5 3 5 Y708 - - - -

Y561 - - - - Y611 2 3 1 3 Y710 - - - -

Y562 - - - - Y612 - 1 1 1 Y711 - - - -

Y563 - 1 1 1 Y613 - - - - Y712 - - - -

Y564 1 3 2 3 Y614 - - - - Y713 - - - -

Y565 - - - - Y615 - 1 1 1 Y718 - - - -

Y566 - - - - Y616 1 1 - 1 Y720 - - - -

Y567 - - - - Y617 - - - - Y721 - - - -

Y568 1 1 - 1 Y618 2 3 1 3 Y722 - - - -

Y569 1 - - - Y619 1 3 2 3 Y723 - - - -

Y570 - 3 3 3 Y620 - 2 2 2 Y728 1 1 - 1

Y571 - - - - Y621 - 1 1 1 Y730 - - - -

Y572 - - - - Y622 - - - - Y731 1 1 - 1

Y573 - - - - Y623 1 1 - 1 Y732 - - - -

Y574 - - - - Y624 - - - - Y733 - 1 1 1

Y575 9 51 42 51 Y625 - - - - Y738 - - - -

Y576 - 10 10 10 Y626 - - - - Y740 - - - -

Y577 - 1 1 1 Y628 1 2 1 2 Y741 - - - -

Y578 4 28 24 28 Y629 - - - - Y742 - 1 1 1

Y579 79 412 333 412 Y630 - - - - Y743 - 1 1 1

Y580 - - - - Y631 - - - - Y748 - - - -

Y581 - - - - Y632 1 9 8 9 Y750 - - - -

Y582 - - - - Y633 - 2 2 2 Y751 - 2 2 2

Y583 - - - - Y634 - - - - Y752 - - - -

Y584 - - - - Y635 - - - - Y753 - - -

-

Y585 - - - - Y636 - - - - Y758 - - - -

Y586 - - - - Y638 - 1 1 1 Y760 - - - -

Y588 - - - - Y639 1 1 - 1 Y761 - - - -

Y589 - - - - Y640 1 48 47 48 Y762 - - - -

- 70 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 1

NUMBER OF RESIDENT DEATHS TABULATED BY MENTION OF AN UNDERLYING CAUSE, RECORD AXIS MULTIPLE CAUSE

OR ENTITY AXIS MULTIPLE CAUSE OF DEATH BY ICD-10 CATEGORY: UNITED STATES, 1999

RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD

ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY ICD-10 UC RECORD AXIS ENTITY

CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS

MENTION ARY MENTION ARY MENTION ARY

Y763 - - - - Y844 2 22 20 22

Y768 - - - - Y845 1 4 3 4

Y770 - - - - Y846 95 485 390 485

Y771 - - - - Y847 1 2 1 2

Y772 - - - - Y848 312 2264 1952 2264

Y773 - - - - Y849 12 134 122 134

Y778 - - - - Y850 456 564 109 564

Y780 - - - - Y859 40 48 8 48

Y781 - - - - Y86 878 1833 955 1833

Y782 - - - - Y870 19 25 6 25

Y783 - - - - Y871 140 153 13 153

Y788 - - - - Y872 27 34 7 34

Y790 - - - - Y880 8 57 49 57

Y791 - - - - Y881 6 47 41 47

Y792 - - - - Y882 - 3 3 3

Y793 - - - - Y883 67 1002 935 1002

Y798 - - - - Y890 1 1 - 1

Y800 1 2 1 2 Y891 21 44 23 44

Y801 - - - - Y899 12 18 6 18

Y802 - - - -

Y803 - - - -

Y808 - - - -

Y810 - 2 2 2

Y811 - - - -

Y812 - 1 1 1

Y813 - 2 2 2

Y818 1 3 2 3

Y820 - - - -

Y821 1 3 2 3

Y822 - - - -

Y823 1 1 - 1

Y828 2 13 11 13

Y830 79 1488 1409 1488

Y831 291 3101 2810 3101

Y832 190 4955 4765 4955

Y833 84 700 616 700

Y834 123 1861 1738 1861

Y835 168 903 735 903

Y836 129 3136 3007 3136

Y838 126 1417 1292 1417

Y839 648 4767 4119 4767

Y840 11 102 91 102

Y841 54 581 527 581

Y842 11 1396 1385 1396

Y843 - 4 4 4

- 1 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS)

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

A01-A02.............| 67| 5| -| -| 2| 3| 4| 3| 6| 11| 22| 11| -

| | | | | | | | | | | | |

A03,A06.............| 16| -| 1| 1| -| 1| 1| -| 1| 3| 2| 6| -

| | | | | | | | | | | | |

A04,A07-A09.........| 2,162| 14| 11| 3| 11| 29| 55| 64| 102| 355| 768| 750| -

| | | | | | | | | | | | |

A16-A19.............| 1,858| 2| 3| 3| 14| 41| 130| 204| 251| 372| 498| 339| 1

| | | | | | | | | | | | |

A16...............| 1,592| 1| 2| 2| 11| 29| 106| 159| 223| 318| 438| 302| 1

| | | | | | | | | | | | |

A17-A19...........| 278| 1| 1| 1| 3| 13| 28| 47| 28| 55| 63| 38| -

| | | | | | | | | | | | |

A37.................| 14| 13| -| -| -| -| -| -| -| 1| -| -| -

| | | | | | | | | | | | |

A38,A46.............| 10| -| -| -| -| 1| -| 1| -| 3| 1| 4| -

| | | | | | | | | | | | |

A39.................| 246| 33| 31| 27| 39| 26| 33| 19| 5| 10| 14| 9| -

| | | | | | | | | | | | |

A40-A41.............| 139,311| 791| 355| 382| 765| 1,830| 5,323| 9,632| 14,702| 28,020| 42,387| 35,119| 5

| | | | | | | | | | | | |

A50-A53.............| 155| 3| 1| 2| -| 4| 13| 15| 12| 36| 44| 25| -

| | | | | | | | | | | | |

A80.................| 2| -| -| -| -| -| -| -| -| -| -| 2| -

| | | | | | | | | | | | |

A83-A84,A85.2.......| 3| -| -| -| -| -| -| -| -| 2| -| 1| -

| | | | | | | | | | | | |

B05.................| 4| 1| -| -| -| -| 1| 1| 1| -| -| -| -

| | | | | | | | | | | | |

B15-B19.............| 9,612| 5| 6| 6| 40| 237| 1,815| 3,190| 1,488| 1,456| 1,059| 310| -

| | | | | | | | | | | | |

B20-B24.............| 16,078| 15| 27| 69| 209| 2,831| 6,662| 4,364| 1,336| 460| 85| 19| 1

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 2 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

B50-B54.............| 9| 1| -| -| -| 2| 1| -| 1| 3| -| 1| -

| | | | | | | | | | | | |

A00---B99...........| 18,396| 388| 153| 179| 283| 964| 2,047| 2,347| 2,255| 3,263| 3,914| 2,601| 2

| | | | | | | | | | | | |

C00-C97 ............| 612,459| 85| 446| 1,083| 1,819| 4,433| 17,903| 48,926| 94,100| 165,552| 185,289| 92,813| 10

| | | | | | | | | | | | |

C00-C14...........| 9,377| -| 4| 7| 32| 51| 324| 1,222| 1,974| 2,399| 2,289| 1,075| -

| | | | | | | | | | | | |

C15...............| 13,109| -| -| -| -| 38| 307| 1,328| 2,684| 4,079| 3,389| 1,283| 1

| | | | | | | | | | | | |

C16...............| 14,095| -| -| 1| 13| 140| 524| 1,155| 1,984| 3,470| 4,363| 2,445| -

| | | | | | | | | | | | |

C18-C21...........| 68,153| 1| -| 1| 48| 302| 1,417| 4,273| 8,588| 16,271| 22,103| 15,149| -

| | | | | | | | | | | | |

C22...............| 13,815| 9| 30| 13| 45| 87| 488| 1,676| 2,318| 3,902| 3,810| 1,437| -

| | | | | | | | | | | | |

C25...............| 30,558| 1| -| -| 3| 56| 616| 2,443| 4,881| 8,664| 9,485| 4,408| 1

| | | | | | | | | | | | |

C32...............| 5,279| -| -| -| -| 7| 97| 472| 1,136| 1,757| 1,345| 465| -

| | | | | | | | | | | | |

C33-C34...........| 162,399| 1| -| 8| 24| 188| 2,810| 11,822| 30,698| 55,330| 48,038| 13,478| 2

| | | | | | | | | | | | |

C43...............| 8,001| 1| 1| 1| 39| 204| 638| 1,172| 1,337| 1,826| 1,889| 893| -

| | | | | | | | | | | | |

C50...............| 51,206| -| 1| 2| 13| 451| 2,842| 6,504| 8,094| 10,826| 12,967| 9,506| -

| | | | | | | | | | | | |

C53...............| 4,793| -| -| -| 13| 225| 736| 975| 861| 815| 717| 450| 1

| | | | | | | | | | | | |

C54-C55...........| 7,760| -| -| -| 2| 23| 159| 526| 1,126| 2,065| 2,457| 1,402| -

| | | | | | | | | | | | |

C56...............| 14,771| -| 1| 2| 28| 84| 531| 1,629| 2,586| 3,896| 4,257| 1,757| -

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 3 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

C61...............| 45,456| 1| -| -| 1| 3| 33| 416| 2,391| 9,624| 19,374| 13,611| 2

| | | | | | | | | | | | |

C64-C65...........| 13,081| 2| 19| 35| 18| 61| 360| 1,223| 2,298| 3,582| 3,767| 1,716| -

| | | | | | | | | | | | |

C67...............| 15,920| -| -| 1| 2| 16| 107| 520| 1,453| 3,669| 6,024| 4,127| 1

| | | | | | | | | | | | |

C70-C72...........| 13,439| 14| 115| 317| 230| 464| 1,109| 1,962| 2,563| 3,302| 2,648| 715| -

| | | | | | | | | | | | |

C81-C96 ..........| 67,597| 36| 152| 402| 793| 1,244| 2,529| 4,606| 8,544| 16,663| 21,961| 10,667| -

| | | | | | | | | | | | |

C81...............| 1,945| -| 1| 11| 100| 190| 249| 261| 273| 378| 346| 136| -

| | | | | | | | | | | | |

C82-C85...........| 27,791| 2| 18| 45| 172| 477| 1,257| 2,136| 3,655| 6,866| 9,110| 4,053| -

| | | | | | | | | | | | |

C91-C95...........| 25,618| 34| 134| 352| 532| 563| 883| 1,528| 2,886| 5,959| 8,136| 4,611| -

| | | | | | | | | | | | |

C88,C90...........| 13,124| -| -| -| 2| 24| 173| 745| 1,896| 3,690| 4,644| 1,950| -

| | | | | | | | | | | | |

C96...............| 125| 1| 1| -| 1| 6| 7| 14| 14| 32| 32| 17| -

| | | | | | | | | | | | |

C17---C97.........| 126,296| 21| 146| 340| 589| 1,150| 4,378| 11,138| 20,657| 34,541| 36,299| 17,033| 4

| | | | | | | | | | | | |

D00-D48.............| 22,676| 97| 74| 123| 127| 238| 526| 1,027| 1,847| 4,600| 7,943| 6,074| -

| | | | | | | | | | | | |

D50-D64.............| 44,910| 55| 68| 125| 269| 493| 1,110| 1,831| 2,870| 6,713| 13,612| 17,764| -

| | | | | | | | | | | | |

E10-E14.............| 209,881| 4| 8| 42| 249| 1,067| 4,093| 12,169| 26,251| 52,647| 71,217| 42,127| 7

| | | | | | | | | | | | |

E40-E64.............| 27,935| 31| 12| 24| 49| 153| 488| 1,011| 1,790| 4,024| 9,000| 11,353| -

| | | | | | | | | | | | |

E40-E46.............| 25,362| 26| 10| 20| 44| 146| 459| 946| 1,636| 3,673| 8,203| 10,199| -

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 4 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

E50-E64.............| 2,639| 6| 3| 4| 5| 7| 31| 67| 155| 359| 818| 1,184| -

| | | | | | | | | | | | |

G00,G03.............| 2,122| 202| 73| 44| 68| 113| 233| 285| 289| 361| 318| 136| -

| | | | | | | | | | | | |

G20-G21.............| 31,200| 1| -| -| 2| 4| 14| 88| 498| 4,122| 14,996| 11,475| -

| | | | | | | | | | | | |

G30.................| 78,695| -| -| -| 1| 1| 10| 97| 693| 5,557| 28,339| 43,997| -

| | | | | | | | | | | | |

I00-I78.............| 1,404,765| 2,355| 916| 1,333| 3,220| 7,943| 29,011| 67,051| 122,493| 258,577| 450,729| 461,066| 71

| | | | | | | | | | | | |

I20-I51........| 1,211,124| 2,040| 770| 1,121| 2,821| 7,015| 25,470| 59,740| 109,582| 226,848| 384,911| 390,740| 66

| | | | | | | | | | | | |

I00-I09.........| 7,403| 13| 4| 10| 17| 67| 206| 461| 815| 1,747| 2,506| 1,557| -

| | | | | | | | | | | | |

I11.............| 25,326| 1| 1| -| 46| 264| 1,241| 2,351| 2,965| 4,210| 6,587| 7,658| 2

| | | | | | | | | | | | |

I13.............| 4,467| -| 1| 2| 11| 36| 153| 231| 389| 735| 1,425| 1,484| -

| | | | | | | | | | | | |

I20-I25 ........| 680,246| 77| 12| 47| 216| 1,455| 9,729| 30,613| 62,093| 132,345| 223,170| 220,445| 44

| | | | | | | | | | | | |

I21-I22.........| 238,677| 44| 4| 24| 103| 614| 4,033| 13,205| 26,331| 51,069| 77,595| 65,648| 7

| | | | | | | | | | | | |

I24.............| 7,837| 13| 3| 6| 13| 53| 267| 664| 1,052| 1,601| 2,112| 2,053| -

| | | | | | | | | | | | |

I20,I25 ........| 543,423| 27| 6| 20| 119| 1,013| 7,253| 22,697| 46,530| 102,945| 179,310| 183,466| 37

| | | | | | | | | | | | |

I25.0.........| 100,989| -| 1| 2| 17| 269| 2,159| 6,509| 11,214| 18,920| 29,467| 32,405| 26

| | | | | | | | | | | | |

I20, | | | | | | | | | | | | |

I25.1-I25.9| 447,911| 27| 5| 18| 103| 758| 5,213| 16,484| 35,792| 85,073| 151,608| 152,819| 11

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 5 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

I26-I51 ..........| 798,514| 1,967| 762| 1,091| 2,629| 5,682| 17,158| 35,916| 66,086| 142,429| 253,862| 270,905| 27

| | | | | | | | | | | | |

I33.............| 2,402| 12| 4| 2| 16| 80| 260| 340| 352| 513| 566| 257| -

| | | | | | | | | | | | |

I30-I31,I40.....| 4,827| 67| 36| 35| 114| 190| 441| 659| 898| 1,028| 995| 363| 1

| | | | | | | | | | | | |

I50.............| 286,523| 279| 101| 130| 286| 562| 1,900| 5,324| 14,048| 41,144| 95,029| 127,716| 4

| | | | | | | | | | | | |

I42-I49,I51..| 608,180| 1,725| 672| 993| 2,382| 5,229| 15,687| 32,113| 56,463| 115,162| 191,365| 186,366| 23

| | | | | | | | | | | | |

I10,I12...........| 87,901| 14| 3| 5| 51| 262| 1,312| 3,756| 7,621| 17,072| 29,157| 28,646| 2

| | | | | | | | | | | | |

I60-I69...........| 282,491| 337| 170| 239| 411| 1,029| 3,998| 8,878| 17,015| 44,231| 98,891| 107,285| 7

| | | | | | | | | | | | |

I70...............| 46,604| 5| 3| 3| 10| 32| 207| 857| 2,259| 6,519| 15,326| 21,383| -

| | | | | | | | | | | | |

I71-I78 ..........| 58,017| 36| 10| 22| 95| 234| 811| 1,895| 4,699| 12,634| 21,013| 16,567| 1

| | | | | | | | | | | | |

I71.............| 22,028| 2| 1| 3| 51| 114| 380| 757| 1,818| 5,395| 8,564| 4,943| -

| | | | | | | | | | | | |

I72-I78.........| 36,899| 34| 9| 19| 46| 122| 438| 1,153| 2,961| 7,498| 12,818| 11,800| 1

| | | | | | | | | | | | |

I80-I99.............| 29,533| 479| 44| 42| 119| 384| 1,420| 2,692| 3,552| 5,808| 8,261| 6,729| 3

| | | | | | | | | | | | |

J10-J18 ............| 230,684| 637| 360| 364| 727| 1,631| 4,552| 7,776| 13,585| 34,081| 75,417| 91,546| 8

| | | | | | | | | | | | |

J10-J11...........| 2,177| 19| 14| 15| 15| 15| 28| 49| 122| 237| 622| 1,041| -

| | | | | | | | | | | | |

J12-J18...........| 228,983| 618| 349| 353| 712| 1,619| 4,526| 7,732| 13,484| 33,871| 74,937| 90,774| 8

| | | | | | | | | | | | |

J20-J22 ............| 1,819| 121| 55| 10| 11| 12| 29| 55| 118| 262| 487| 659| -

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 6 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

J20-J21...........| 1,506| 118| 53| 9| 11| 11| 27| 46| 104| 244| 400| 483| -

| | | | | | | | | | | | |

J22...............| 313| 3| 2| 1| -| 1| 2| 9| 14| 18| 87| 176| -

| | | | | | | | | | | | |

J40-J47 ............| 254,482| 62| 82| 197| 313| 556| 1,893| 6,916| 23,990| 66,998| 98,200| 55,268| 7

| | | | | | | | | | | | |

J40-J42...........| 3,445| 38| 26| 9| 21| 38| 82| 146| 293| 522| 998| 1,272| -

| | | | | | | | | | | | |

J43...............| 32,741| 4| 2| 1| 5| 30| 246| 1,048| 3,795| 10,115| 12,379| 5,116| -

| | | | | | | | | | | | |

J45-J46...........| 9,918| 9| 43| 160| 237| 382| 771| 1,140| 1,250| 1,772| 2,286| 1,868| -

| | | | | | | | | | | | |

J44,J47...........| 211,872| 13| 14| 27| 55| 117| 840| 4,697| 19,090| 55,627| 83,790| 47,595| 7

| | | | | | | | | | | | |

J60-J66,J68.........| 2,789| -| 3| -| 2| 2| 11| 39| 180| 694| 1,219| 639| -

| | | | | | | | | | | | |

J69.................| 56,552| 50| 58| 81| 122| 269| 627| 1,301| 2,492| 7,485| 20,047| 24,020| -

| | | | | | | | | | | | |

J67,J70-J98.....| 225,616| 1,296| 538| 713| 1,279| 2,262| 6,060| 12,133| 22,640| 49,766| 74,858| 54,064| 7

| | | | | | | | | | | | |

K25-K28.............| 11,625| 3| 2| 8| 12| 51| 231| 582| 1,028| 2,155| 3,853| 3,697| 3

| | | | | | | | | | | | |

K35-K38.............| 714| 5| 2| 28| 6| 12| 33| 76| 85| 142| 194| 131| -

| | | | | | | | | | | | |

K40-K46.............| 3,479| 82| 6| 3| 8| 23| 70| 117| 234| 507| 1,048| 1,381| -

| | | | | | | | | | | | |

K70,K73-K74 ........| 40,627| 16| 9| 9| 48| 548| 4,708| 9,377| 8,383| 9,198| 6,611| 1,717| 3

| | | | | | | | | | | | |

K70...............| 11,044| -| -| -| 6| 247| 1,967| 3,453| 2,653| 1,828| 768| 122| -

| | | | | | | | | | | | |

K73-K74...........| 30,167| 16| 9| 9| 43| 317| 2,855| 6,098| 5,863| 7,476| 5,878| 1,600| 3

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 7 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

K80-K82.............| 5,933| 3| -| 1| 17| 42| 127| 261| 469| 1,066| 1,996| 1,951| -

| | | | | | | | | | | | |

N25-N27..........| 185,714| 772| 97| 157| 424| 1,490| 4,744| 10,141| 18,428| 39,306| 61,269| 48,881| 5

| | | | | | | | | | | | |

N00-N01,N04.......| 595| 6| 5| 7| 3| 15| 27| 43| 68| 134| 193| 94| -

| | | | | | | | | | | | |

N02-N03 | | | | | | | | | | | | |

N05-N07,N26....| 1,459| -| 2| 2| 22| 33| 68| 109| 152| 311| 454| 306| -

| | | | | | | | | | | | |

N17-N19...........| 184,378| 766| 89| 149| 402| 1,455| 4,687| 10,053| 18,291| 39,011| 60,870| 48,600| 5

| | | | | | | | | | | | |

N25,N27...........| 153| -| 4| -| 3| 4| 8| 15| 14| 34| 43| 28| -

| | | | | | | | | | | | |

N10-N12,N13.6,N15.1.| 1,868| 7| 3| 8| 10| 26| 71| 119| 147| 308| 528| 641| -

| | | | | | | | | | | | |

N40.................| 2,672| -| -| -| -| -| 2| 14| 79| 425| 1,079| 1,073| -

| | | | | | | | | | | | |

N70-N76.............| 296| 2| 2| 1| 4| 9| 28| 24| 33| 55| 86| 52| -

| | | | | | | | | | | | |

O00-O99 ............| 444| ...| ...| -| 107| 199| 129| 9| ...| ...| ...| ...| -

| | | | | | | | | | | | |

O00-O07...........| 38| ...| ...| -| 11| 17| 10| -| ...| ...| ...| ...| -

| | | | | | | | | | | | |

O10-O99...........| 415| ...| ...| -| 97| 186| 123| 9| ...| ...| ...| ...| -

| | | | | | | | | | | | |

P00-P96.............| 18,203| 17,861| 174| 77| 31| 15| 12| 6| 8| 8| 5| 1| 5

| | | | | | | | | | | | |

Q00-Q99.............| 14,979| 6,609| 714| 592| 613| 711| 931| 1,176| 1,037| 938| 990| 666| 2

| | | | | | | | | | | | |

R00-R99.............| 283,204| 5,079| 979| 1,070| 2,272| 4,027| 9,538| 15,219| 23,467| 46,745| 81,108| 93,613| 87

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 8 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

RESIDUAL............| 531,119| 2,516| 1,301| 1,773| 4,181| 8,407| 23,648| 39,680| 51,115| 90,119| 147,439| 160,905| 35

| | | | | | | | | | | | |

V01-X59,Y85-Y86 ....| 135,992| 957| 1,968| 3,209| 14,065| 12,552| 16,635| 13,505| 9,348| 12,906| 23,904| 26,828| 115

| | | | | | | | | | | | |

V01-V99,Y85 ......| 47,824| 207| 716| 1,985| 10,829| 7,556| 7,706| 5,829| 4,007| 3,801| 3,709| 1,441| 38

| | | | | | | | | | | | |

V02---V89.2.....| 43,505| 200| 654| 1,776| 10,245| 6,877| 6,848| 5,105| 3,525| 3,454| 3,438| 1,352| 31

| | | | | | | | | | | | |

V01---V89.9.....| 2,262| 6| 48| 132| 376| 327| 424| 321| 196| 171| 188| 66| 7

| | | | | | | | | | | | |

V90-V99,Y85.....| 2,059| 1| 14| 77| 208| 352| 435| 403| 286| 176| 84| 23| -

| | | | | | | | | | | | |

W00-X59,Y86 ......| 88,475| 750| 1,254| 1,235| 3,307| 5,039| 8,991| 7,728| 5,358| 9,124| 20,219| 25,393| 77

| | | | | | | | | | | | |

W00-W19.........| 17,264| 14| 56| 53| 253| 359| 693| 923| 1,026| 2,099| 5,203| 6,580| 5

| | | | | | | | | | | | |

W32-W34.........| 863| -| 12| 76| 252| 146| 139| 96| 54| 40| 37| 11| -

| | | | | | | | | | | | |

W65-W74.........| 3,694| 68| 496| 378| 682| 468| 498| 388| 226| 197| 179| 79| 35

| | | | | | | | | | | | |

X00-X09.........| 3,530| 41| 305| 263| 207| 284| 441| 384| 341| 450| 533| 277| 4

| | | | | | | | | | | | |

X40-X49.........| 14,596| 15| 36| 48| 1,062| 2,627| 5,214| 3,429| 869| 448| 502| 331| 15

| | | | | | | | | | | | |

W75-W99, | | | | | | | | | | | | |

X10-X39, | | | | | | | | | | | | |

X50-X59,Y86...| 49,077| 615| 352| 424| 894| 1,220| 2,128| 2,594| 2,873| 5,925| 13,839| 18,195| 18

| | | | | | | | | | | | |

X60-X84,Y87.0 ......| 29,490| ...| ...| 247| 3,929| 5,149| 6,517| 5,124| 2,926| 2,509| 2,255| 818| 16

| | | | | | | | | | | | |

X72-X74...........| 16,712| ...| ...| 104| 2,327| 2,631| 3,116| 2,693| 1,873| 1,809| 1,625| 529| 5

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 9 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

Y87.0..........| 12,823| ...| ...| 143| 1,606| 2,524| 3,411| 2,444| 1,058| 703| 633| 290| 11

| | | | | | | | | | | | |

X85-Y09,Y87.1 ......| 17,119| 343| 382| 439| 5,031| 4,267| 3,238| 1,696| 740| 488| 329| 115| 51

| | | | | | | | | | | | |

X93-X95...........| 10,900| 9| 50| 224| 4,062| 3,064| 1,882| 902| 378| 195| 95| 24| 15

| | | | | | | | | | | | |

Y87.1..........| 6,314| 334| 332| 216| 991| 1,231| 1,375| 806| 368| 299| 235| 91| 36

| | | | | | | | | | | | |

Y35,Y89.0...........| 412| -| -| 1| 67| 140| 126| 55| 20| 2| 1| -| -

| | | | | | | | | | | | |

Y10-Y34,Y87.2,Y89.9 | 4,191| 65| 45| 50| 445| 772| 1,379| 846| 241| 133| 117| 77| 21

| | | | | | | | | | | | |

Y22-Y24...........| 330| -| 3| 12| 128| 52| 58| 29| 14| 16| 14| 4| -

| | | | | | | | | | | | |

Y87.2,Y89.9....| 3,863| 65| 42| 38| 318| 721| 1,321| 817| 227| 117| 103| 73| 21

| | | | | | | | | | | | |

Y36,Y89.1...........| 53| -| -| -| -| -| 1| 5| 4| 15| 22| 6| -

| | | | | | | | | | | | |

Y40-Y84,Y88.........| 34,002| 278| 216| 303| 441| 674| 1,565| 2,871| 4,631| 8,269| 9,922| 4,831| 1

| | | | | | | | | | | | |

S00-T98.............| 199,076| 1,528| 2,505| 4,120| 23,557| 23,001| 28,524| 22,751| 15,708| 20,225| 29,914| 27,047| 196

| | | | | | | | | | | | |

S02.................| 3,927| 50| 99| 201| 920| 570| 629| 421| 308| 264| 274| 186| 5

| | | | | | | | | | | | |

S12,S22,S32,T08.....| 7,040| 14| 44| 104| 701| 501| 592| 542| 457| 775| 1,516| 1,791| 3

| | | | | | | | | | | | |

S72.................| 15,838| 5| 4| 17| 79| 50| 54| 126| 269| 1,239| 4,887| 9,107| 1

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 10 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

T10,T12..........| 2,598| 7| 4| 18| 125| 85| 113| 146| 158| 275| 647| 1,019| 1

| | | | | | | | | | | | |

T02.................| 725| -| 2| 7| 108| 87| 103| 85| 68| 66| 119| 80| -

| | | | | | | | | | | | |

S93,T03..........| 541| 2| 14| 22| 83| 64| 61| 55| 32| 50| 76| 82| -

| | | | | | | | | | | | |

S05.................| 87| 6| 1| 3| 5| 6| 7| 2| 2| 11| 13| 31| -

| | | | | | | | | | | | |

S06.................| 16,396| 142| 229| 437| 2,145| 1,523| 1,726| 1,563| 1,202| 1,810| 2,998| 2,613| 8

| | | | | | | | | | | | |

S26-S27,S36-S37.....| 6,881| 23| 85| 148| 1,262| 1,031| 974| 777| 522| 591| 851| 609| 8

| | | | | | | | | | | | |

S07---T05...........| 1,246| 8| 40| 35| 191| 188| 236| 202| 120| 110| 81| 33| 2

| | | | | | | | | | | | |

S00---T14...........| 88,335| 420| 1,011| 2,403| 17,882| 14,497| 14,516| 10,893| 7,235| 7,158| 7,849| 4,384| 87

| | | | | | | | | | | | |

T15-T19.............| 15,582| 123| 139| 129| 193| 272| 551| 826| 1,061| 2,277| 4,809| 5,202| -

| | | | | | | | | | | | |

T20-T32.............| 3,089| 26| 155| 118| 296| 340| 457| 390| 316| 345| 393| 248| 5

| | | | | | | | | | | | |

T36-T50.............| 19,591| 24| 27| 38| 1,358| 3,596| 7,088| 4,732| 1,204| 582| 565| 358| 19

| | | | | | | | | | | | |

T51-T65.............| 7,893| 56| 322| 318| 629| 1,135| 1,933| 1,445| 706| 531| 576| 231| 11

| | | | | | | | | | | | |

T74.................| 197| 99| 54| 11| 5| 2| 1| 1| 4| 5| 8| 6| 1

| | | | | | | | | | | | |

T75-T78..........| 18,082| 623| 727| 812| 2,600| 2,897| 3,273| 2,281| 1,316| 1,262| 1,342| 874| 75

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 11 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 2

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

T79-T88.............| 23,248| 210| 154| 224| 443| 577| 1,201| 2,122| 2,981| 5,336| 6,539| 3,459| 2

| | | | | | | | | | | | |

T90-T98.............| 4,105| 4| 19| 67| 130| 280| 440| 432| 445| 562| 884| 842| -

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

- QUANTITY = 0

- 1 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS)

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

A01-A02.............| 67| 5| -| -| 2| 3| 4| 3| 6| 11| 22| 11| -

| | | | | | | | | | | | |

A03,A06.............| 16| -| 1| 1| -| 1| 1| -| 1| 3| 2| 6| -

| | | | | | | | | | | | |

A04,A07-A09.........| 2,163| 14| 11| 3| 11| 29| 55| 64| 102| 355| 769| 750| -

| | | | | | | | | | | | |

A16-A19.............| 1,987| 2| 3| 3| 16| 58| 182| 232| 273| 374| 503| 340| 1

| | | | | | | | | | | | |

A16...............| 1,704| 1| 2| 2| 12| 43| 149| 182| 241| 322| 445| 304| 1

| | | | | | | | | | | | |

A17-A19...........| 305| 1| 1| 1| 4| 17| 38| 54| 32| 56| 63| 38| -

| | | | | | | | | | | | |

A37.................| 14| 13| -| -| -| -| -| -| -| 1| -| -| -

| | | | | | | | | | | | |

A38,A46.............| 10| -| -| -| -| 1| -| 1| -| 3| 1| 4| -

| | | | | | | | | | | | |

A39.................| 247| 33| 31| 27| 39| 26| 33| 19| 6| 10| 14| 9| -

| | | | | | | | | | | | |

A40-A41.............| 139,550| 806| 361| 386| 773| 1,838| 5,332| 9,645| 14,729| 28,065| 42,437| 35,173| 5

| | | | | | | | | | | | |

A50-A53.............| 155| 3| 1| 2| -| 4| 13| 15| 12| 36| 44| 25| -

| | | | | | | | | | | | |

A80.................| 2| -| -| -| -| -| -| -| -| -| -| 2| -

| | | | | | | | | | | | |

A83-A84,A85.2.......| 3| -| -| -| -| -| -| -| -| 2| -| 1| -

| | | | | | | | | | | | |

B05.................| 4| 1| -| -| -| -| 1| 1| 1| -| -| -| -

| | | | | | | | | | | | |

B15-B19.............| 9,614| 5| 6| 6| 40| 237| 1,815| 3,190| 1,488| 1,457| 1,059| 311| -

| | | | | | | | | | | | |

B20-B24.............| 16,080| 15| 27| 69| 209| 2,831| 6,663| 4,365| 1,336| 460| 85| 19| 1

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 2 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

B50-B54.............| 9| 1| -| -| -| 2| 1| -| 1| 3| -| 1| -

| | | | | | | | | | | | |

A00---B99...........| 20,359| 411| 157| 194| 306| 1,181| 2,422| 2,636| 2,436| 3,538| 4,242| 2,834| 2

| | | | | | | | | | | | |

C00-C97 ............| 613,284| 85| 450| 1,083| 1,823| 4,493| 17,990| 49,006| 94,191| 165,721| 185,500| 92,932| 10

| | | | | | | | | | | | |

C00-C14...........| 9,387| -| 4| 7| 32| 51| 324| 1,223| 1,974| 2,401| 2,295| 1,076| -

| | | | | | | | | | | | |

C15...............| 13,269| -| -| -| -| 40| 308| 1,342| 2,711| 4,125| 3,440| 1,302| 1

| | | | | | | | | | | | |

C16...............| 14,124| -| -| 1| 13| 140| 525| 1,156| 1,989| 3,477| 4,372| 2,451| -

| | | | | | | | | | | | |

C18-C21...........| 68,259| 1| -| 1| 49| 302| 1,419| 4,275| 8,604| 16,297| 22,142| 15,169| -

| | | | | | | | | | | | |

C22...............| 13,828| 9| 31| 13| 45| 87| 488| 1,679| 2,319| 3,907| 3,812| 1,438| -

| | | | | | | | | | | | |

C25...............| 30,629| 1| -| -| 3| 56| 616| 2,450| 4,890| 8,691| 9,505| 4,416| 1

| | | | | | | | | | | | |

C32...............| 5,288| -| -| -| -| 7| 97| 472| 1,139| 1,760| 1,346| 467| -

| | | | | | | | | | | | |

C33-C34...........| 162,644| 1| -| 8| 24| 188| 2,814| 11,846| 30,732| 55,408| 48,114| 13,507| 2

| | | | | | | | | | | | |

C43...............| 8,058| 1| 1| 1| 39| 204| 641| 1,179| 1,342| 1,842| 1,909| 899| -

| | | | | | | | | | | | |

C50...............| 51,274| -| 1| 2| 13| 451| 2,845| 6,510| 8,101| 10,847| 12,981| 9,523| -

| | | | | | | | | | | | |

C53...............| 4,802| -| -| -| 13| 226| 737| 975| 863| 816| 720| 451| 1

| | | | | | | | | | | | |

C54-C55...........| 7,814| -| -| -| 3| 23| 160| 530| 1,138| 2,072| 2,480| 1,408| -

| | | | | | | | | | | | |

C56...............| 14,803| -| 1| 2| 28| 84| 531| 1,634| 2,593| 3,904| 4,263| 1,763| -

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 3 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

C61...............| 45,508| 1| -| -| 1| 3| 33| 418| 2,393| 9,632| 19,397| 13,628| 2

| | | | | | | | | | | | |

C64-C65...........| 13,092| 2| 19| 35| 18| 61| 360| 1,223| 2,300| 3,584| 3,771| 1,719| -

| | | | | | | | | | | | |

C67...............| 15,942| -| -| 1| 2| 16| 107| 521| 1,454| 3,673| 6,035| 4,132| 1

| | | | | | | | | | | | |

C70-C72...........| 13,455| 14| 116| 317| 230| 464| 1,110| 1,967| 2,566| 3,306| 2,650| 715| -

| | | | | | | | | | | | |

C81-C96 ..........| 67,700| 36| 153| 402| 794| 1,251| 2,538| 4,607| 8,557| 16,680| 21,998| 10,684| -

| | | | | | | | | | | | |

C81...............| 1,948| -| 1| 11| 100| 191| 249| 261| 274| 378| 347| 136| -

| | | | | | | | | | | | |

C82-C85...........| 27,838| 2| 18| 45| 173| 482| 1,265| 2,137| 3,662| 6,871| 9,123| 4,060| -

| | | | | | | | | | | | |

C91-C95...........| 25,656| 34| 135| 352| 532| 564| 883| 1,528| 2,891| 5,967| 8,149| 4,621| -

| | | | | | | | | | | | |

C88,C90...........| 13,142| -| -| -| 2| 24| 174| 745| 1,897| 3,696| 4,654| 1,950| -

| | | | | | | | | | | | |

C96...............| 156| 1| 1| -| 4| 6| 7| 18| 16| 39| 44| 20| -

| | | | | | | | | | | | |

C17---C97.........| 156,882| 22| 156| 355| 627| 1,333| 5,235| 13,547| 25,259| 42,980| 45,862| 21,501| 5

| | | | | | | | | | | | |

D00-D48.............| 23,946| 97| 82| 150| 147| 271| 609| 1,182| 2,083| 4,907| 8,224| 6,194| -

| | | | | | | | | | | | |

D50-D64.............| 45,362| 56| 68| 125| 269| 493| 1,115| 1,834| 2,876| 6,776| 13,789| 17,961| -

| | | | | | | | | | | | |

E10-E14.............| 209,986| 4| 8| 42| 249| 1,068| 4,093| 12,171| 26,266| 52,677| 71,246| 42,155| 7

| | | | | | | | | | | | |

E40-E64.............| 28,472| 31| 13| 25| 51| 158| 497| 1,027| 1,850| 4,111| 9,162| 11,547| -

| | | | | | | | | | | | |

E40-E46.............| 25,891| 26| 11| 21| 46| 151| 468| 962| 1,696| 3,759| 8,362| 10,389| -

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 4 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

E50-E64.............| 2,654| 6| 3| 4| 5| 7| 31| 67| 156| 360| 824| 1,191| -

| | | | | | | | | | | | |

G00,G03.............| 2,135| 203| 74| 45| 69| 114| 237| 285| 289| 363| 320| 136| -

| | | | | | | | | | | | |

G20-G21.............| 31,234| 1| -| -| 2| 4| 14| 88| 499| 4,127| 15,013| 11,486| -

| | | | | | | | | | | | |

G30.................| 78,781| -| -| -| 1| 1| 10| 98| 693| 5,564| 28,366| 44,048| -

| | | | | | | | | | | | |

I00-I78.............| 1,406,982| 2,362| 917| 1,335| 3,235| 7,978| 29,106| 67,206| 122,763| 259,053| 451,417| 461,539| 71

| | | | | | | | | | | | |

I20-I51........| 1,246,608| 2,047| 773| 1,126| 2,855| 7,163| 26,277| 61,627| 112,691| 233,304| 397,086| 401,592| 67

| | | | | | | | | | | | |

I00-I09.........| 7,313| 13| 4| 10| 17| 67| 201| 459| 808| 1,739| 2,484| 1,511| -

| | | | | | | | | | | | |

I11.............| 37,821| 1| 1| 3| 56| 365| 1,924| 3,971| 5,142| 6,969| 9,880| 9,503| 6

| | | | | | | | | | | | |

I13.............| 175| -| -| -| -| 1| 3| 8| 13| 27| 61| 62| -

| | | | | | | | | | | | |

I20-I25 ........| 681,452| 77| 12| 47| 217| 1,456| 9,739| 30,643| 62,171| 132,506| 223,572| 220,967| 45

| | | | | | | | | | | | |

I21-I22.........| 239,196| 44| 4| 24| 103| 616| 4,037| 13,231| 26,376| 51,159| 77,784| 65,811| 7

| | | | | | | | | | | | |

I24.............| 7,849| 13| 3| 6| 13| 53| 269| 664| 1,055| 1,602| 2,114| 2,057| -

| | | | | | | | | | | | |

I20,I25 ........| 544,629| 27| 6| 20| 121| 1,014| 7,263| 22,724| 46,606| 103,119| 179,715| 183,976| 38

| | | | | | | | | | | | |

I25.0.........| 101,072| -| 1| 2| 17| 270| 2,160| 6,511| 11,224| 18,930| 29,494| 32,436| 27

| | | | | | | | | | | | |

I20, | | | | | | | | | | | | |

I25.1-I25.9| 449,335| 27| 5| 18| 105| 762| 5,229| 16,524| 35,883| 85,283| 152,089| 153,399| 11

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 5 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

I26-I51 ..........| 807,883| 1,974| 764| 1,093| 2,645| 5,743| 17,314| 36,316| 66,758| 143,816| 256,654| 274,778| 28

| | | | | | | | | | | | |

I33.............| 2,412| 12| 4| 2| 16| 80| 263| 343| 353| 514| 567| 258| -

| | | | | | | | | | | | |

I30-I31,I40.....| 4,838| 67| 36| 36| 115| 192| 443| 660| 898| 1,029| 997| 364| 1

| | | | | | | | | | | | |

I50.............| 297,641| 281| 101| 132| 292| 594| 2,035| 5,659| 14,704| 42,577| 98,434| 132,827| 5

| | | | | | | | | | | | |

I42-I49,I51..| 611,634| 1,736| 678| 995| 2,399| 5,279| 15,798| 32,353| 56,837| 115,848| 192,320| 187,368| 23

| | | | | | | | | | | | |

I10,I12...........| 205,602| 16| 5| 11| 76| 464| 2,765| 8,773| 18,222| 39,468| 69,323| 66,475| 4

| | | | | | | | | | | | |

I60-I69...........| 282,794| 337| 170| 239| 414| 1,033| 4,004| 8,888| 17,032| 44,271| 98,992| 107,407| 7

| | | | | | | | | | | | |

I70...............| 76,002| 9| 3| 3| 11| 47| 364| 1,482| 4,027| 11,406| 25,520| 33,130| -

| | | | | | | | | | | | |

I71-I78 ..........| 65,712| 38| 10| 22| 98| 257| 936| 2,315| 5,684| 14,764| 23,704| 17,882| 2

| | | | | | | | | | | | |

I71.............| 22,063| 2| 1| 3| 51| 114| 381| 760| 1,820| 5,404| 8,581| 4,946| -

| | | | | | | | | | | | |

I72-I78.........| 44,693| 36| 9| 19| 49| 145| 562| 1,575| 3,953| 9,666| 15,546| 13,131| 2

| | | | | | | | | | | | |

I80-I99.............| 32,989| 484| 45| 46| 124| 399| 1,483| 2,865| 3,865| 6,528| 9,420| 7,727| 3

| | | | | | | | | | | | |

J10-J18 ............| 232,124| 641| 366| 371| 749| 1,666| 4,631| 7,868| 13,712| 34,351| 75,813| 91,948| 8

| | | | | | | | | | | | |

J10-J11...........| 2,180| 19| 14| 15| 15| 15| 28| 49| 122| 237| 624| 1,042| -

| | | | | | | | | | | | |

J12-J18...........| 230,657| 622| 356| 361| 735| 1,656| 4,608| 7,830| 13,623| 34,164| 75,404| 91,290| 8

| | | | | | | | | | | | |

J20-J22 ............| 2,103| 124| 56| 11| 12| 12| 32| 61| 142| 315| 603| 735| -

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 6 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

J20-J21...........| 1,705| 121| 53| 9| 12| 11| 30| 51| 121| 283| 477| 537| -

| | | | | | | | | | | | |

J22...............| 399| 3| 3| 2| -| 1| 2| 10| 21| 33| 126| 198| -

| | | | | | | | | | | | |

J40-J47 ............| 254,878| 62| 83| 198| 315| 562| 1,896| 6,929| 24,032| 67,071| 98,370| 55,353| 7

| | | | | | | | | | | | |

J40-J42...........| 5,681| 41| 28| 11| 23| 40| 96| 209| 531| 1,130| 1,834| 1,738| -

| | | | | | | | | | | | |

J43...............| 35,099| 4| 2| 1| 5| 30| 262| 1,121| 4,098| 10,849| 13,265| 5,462| -

| | | | | | | | | | | | |

J45-J46...........| 12,375| 9| 44| 160| 238| 391| 812| 1,275| 1,556| 2,372| 3,064| 2,454| -

| | | | | | | | | | | | |

J44,J47...........| 211,511| 12| 14| 27| 57| 122| 832| 4,678| 19,032| 55,481| 83,687| 47,562| 7

| | | | | | | | | | | | |

J60-J66,J68.........| 2,796| -| 3| -| 2| 2| 11| 39| 181| 697| 1,221| 640| -

| | | | | | | | | | | | |

J69.................| 56,643| 51| 58| 81| 122| 272| 631| 1,306| 2,499| 7,502| 20,075| 24,046| -

| | | | | | | | | | | | |

J67,J70-J98.....| 227,265| 1,356| 550| 725| 1,299| 2,304| 6,113| 12,224| 22,794| 50,119| 75,335| 54,439| 7

| | | | | | | | | | | | |

K25-K28.............| 11,634| 3| 2| 8| 12| 51| 232| 583| 1,028| 2,156| 3,857| 3,699| 3

| | | | | | | | | | | | |

K35-K38.............| 714| 5| 2| 28| 6| 12| 33| 76| 85| 142| 194| 131| -

| | | | | | | | | | | | |

K40-K46.............| 3,482| 82| 6| 3| 8| 23| 70| 117| 234| 508| 1,049| 1,382| -

| | | | | | | | | | | | |

K70,K73-K74 ........| 39,302| 16| 9| 9| 45| 493| 4,409| 8,909| 8,098| 9,041| 6,560| 1,710| 3

| | | | | | | | | | | | |

K70...............| 6,807| -| -| -| 2| 138| 1,183| 2,045| 1,702| 1,168| 489| 80| -

| | | | | | | | | | | | |

K73-K74...........| 33,207| 16| 9| 9| 44| 371| 3,356| 7,084| 6,565| 8,001| 6,110| 1,639| 3

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 7 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

K80-K82.............| 5,943| 3| -| 1| 17| 42| 127| 262| 469| 1,068| 1,997| 1,957| -

| | | | | | | | | | | | |

N25-N27..........| 200,825| 772| 98| 159| 451| 1,611| 5,197| 11,031| 19,968| 42,461| 66,215| 52,857| 5

| | | | | | | | | | | | |

N00-N01,N04.......| 760| 6| 5| 7| 3| 16| 34| 68| 103| 184| 235| 99| -

| | | | | | | | | | | | |

N02-N03 | | | | | | | | | | | | |

N05-N07,N26....| 1,647| -| 3| 2| 22| 37| 71| 120| 178| 354| 516| 344| -

| | | | | | | | | | | | |

N17-N19...........| 199,377| 766| 91| 151| 430| 1,577| 5,144| 10,919| 19,800| 42,126| 65,784| 52,584| 5

| | | | | | | | | | | | |

N25,N27...........| 153| -| 4| -| 3| 4| 8| 15| 14| 34| 43| 28| -

| | | | | | | | | | | | |

N10-N12,N13.6,N15.1.| 1,871| 7| 3| 8| 10| 26| 71| 121| 147| 308| 529| 641| -

| | | | | | | | | | | | |

N40.................| 2,672| -| -| -| -| -| 2| 14| 79| 425| 1,079| 1,073| -

| | | | | | | | | | | | |

N70-N76.............| 296| 2| 2| 1| 4| 9| 28| 24| 33| 55| 86| 52| -

| | | | | | | | | | | | |

O00-O99 ............| 444| ...| ...| -| 107| 199| 129| 9| ...| ...| ...| ...| -

| | | | | | | | | | | | |

O00-O07...........| 38| ...| ...| -| 11| 17| 10| -| ...| ...| ...| ...| -

| | | | | | | | | | | | |

O10-O99...........| 418| ...| ...| -| 98| 187| 124| 9| ...| ...| ...| ...| -

| | | | | | | | | | | | |

P00-P96.............| 18,204| 17,861| 174| 78| 31| 15| 12| 6| 8| 8| 5| 1| 5

| | | | | | | | | | | | |

Q00-Q99.............| 15,006| 6,609| 715| 592| 613| 714| 933| 1,183| 1,043| 942| 993| 667| 2

| | | | | | | | | | | | |

R00-R99.............| 286,346| 5,081| 980| 1,070| 2,285| 4,120| 9,766| 15,432| 23,791| 47,297| 82,046| 94,391| 87

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 8 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

RESIDUAL............| 580,679| 2,522| 1,308| 1,796| 4,301| 8,877| 25,265| 42,200| 54,247| 96,701| 162,416| 181,008| 38

| | | | | | | | | | | | |

V01-X59,Y85-Y86 ....| 135,998| 957| 1,968| 3,209| 14,065| 12,552| 16,635| 13,505| 9,348| 12,906| 23,907| 26,831| 115

| | | | | | | | | | | | |

V01-V99,Y85 ......| 47,825| 207| 716| 1,985| 10,829| 7,556| 7,706| 5,829| 4,007| 3,801| 3,710| 1,441| 38

| | | | | | | | | | | | |

V02---V89.2.....| 43,506| 200| 654| 1,776| 10,245| 6,877| 6,848| 5,105| 3,525| 3,454| 3,439| 1,352| 31

| | | | | | | | | | | | |

V01---V89.9.....| 2,262| 6| 48| 132| 376| 327| 424| 321| 196| 171| 188| 66| 7

| | | | | | | | | | | | |

V90-V99,Y85.....| 2,059| 1| 14| 77| 208| 352| 435| 403| 286| 176| 84| 23| -

| | | | | | | | | | | | |

W00-X59,Y86 ......| 88,480| 750| 1,254| 1,235| 3,307| 5,039| 8,991| 7,728| 5,358| 9,124| 20,221| 25,396| 77

| | | | | | | | | | | | |

W00-W19.........| 17,270| 14| 56| 53| 253| 359| 693| 923| 1,026| 2,099| 5,205| 6,584| 5

| | | | | | | | | | | | |

W32-W34.........| 865| -| 12| 76| 253| 146| 140| 96| 54| 40| 37| 11| -

| | | | | | | | | | | | |

W65-W74.........| 3,694| 68| 496| 378| 682| 468| 498| 388| 226| 197| 179| 79| 35

| | | | | | | | | | | | |

X00-X09.........| 3,530| 41| 305| 263| 207| 284| 441| 384| 341| 450| 533| 277| 4

| | | | | | | | | | | | |

X40-X49.........| 14,596| 15| 36| 48| 1,062| 2,627| 5,214| 3,429| 869| 448| 502| 331| 15

| | | | | | | | | | | | |

W75-W99, | | | | | | | | | | | | |

X10-X39, | | | | | | | | | | | | |

X50-X59,Y86...| 49,077| 615| 352| 424| 894| 1,220| 2,128| 2,594| 2,873| 5,925| 13,839| 18,195| 18

| | | | | | | | | | | | |

X60-X84,Y87.0 ......| 29,491| ...| ...| 247| 3,929| 5,150| 6,517| 5,124| 2,926| 2,509| 2,255| 818| 16

| | | | | | | | | | | | |

X72-X74...........| 16,713| ...| ...| 104| 2,327| 2,632| 3,116| 2,693| 1,873| 1,809| 1,625| 529| 5

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 9 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

Y87.0..........| 12,823| ...| ...| 143| 1,606| 2,524| 3,411| 2,444| 1,058| 703| 633| 290| 11

| | | | | | | | | | | | |

X85-Y09,Y87.1 ......| 17,119| 343| 382| 439| 5,031| 4,267| 3,238| 1,696| 740| 488| 329| 115| 51

| | | | | | | | | | | | |

X93-X95...........| 10,900| 9| 50| 224| 4,062| 3,064| 1,882| 902| 378| 195| 95| 24| 15

| | | | | | | | | | | | |

Y87.1..........| 6,314| 334| 332| 216| 991| 1,231| 1,375| 806| 368| 299| 235| 91| 36

| | | | | | | | | | | | |

Y35,Y89.0...........| 412| -| -| 1| 67| 140| 126| 55| 20| 2| 1| -| -

| | | | | | | | | | | | |

Y10-Y34,Y87.2,Y89.9 | 4,191| 65| 45| 50| 445| 772| 1,379| 846| 241| 133| 117| 77| 21

| | | | | | | | | | | | |

Y22-Y24...........| 330| -| 3| 12| 128| 52| 58| 29| 14| 16| 14| 4| -

| | | | | | | | | | | | |

Y87.2,Y89.9....| 3,863| 65| 42| 38| 318| 721| 1,321| 817| 227| 117| 103| 73| 21

| | | | | | | | | | | | |

Y36,Y89.1...........| 53| -| -| -| -| -| 1| 5| 4| 15| 22| 6| -

| | | | | | | | | | | | |

Y40-Y84,Y88.........| 34,002| 278| 216| 303| 441| 674| 1,565| 2,871| 4,631| 8,269| 9,922| 4,831| 1

| | | | | | | | | | | | |

S00-T98.............| 199,093| 1,528| 2,505| 4,120| 23,558| 23,004| 28,527| 22,755| 15,709| 20,226| 29,915| 27,050| 196

| | | | | | | | | | | | |

S02.................| 3,927| 50| 99| 201| 920| 570| 629| 421| 308| 264| 274| 186| 5

| | | | | | | | | | | | |

S12,S22,S32,T08.....| 7,040| 14| 44| 104| 701| 501| 592| 542| 457| 775| 1,516| 1,791| 3

| | | | | | | | | | | | |

S72.................| 15,838| 5| 4| 17| 79| 50| 54| 126| 269| 1,239| 4,887| 9,107| 1

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 10 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

T10,T12..........| 2,598| 7| 4| 18| 125| 85| 113| 146| 158| 275| 647| 1,019| 1

| | | | | | | | | | | | |

T02.................| 725| -| 2| 7| 108| 87| 103| 85| 68| 66| 119| 80| -

| | | | | | | | | | | | |

S93,T03..........| 541| 2| 14| 22| 83| 64| 61| 55| 32| 50| 76| 82| -

| | | | | | | | | | | | |

S05.................| 87| 6| 1| 3| 5| 6| 7| 2| 2| 11| 13| 31| -

| | | | | | | | | | | | |

S06.................| 16,397| 142| 229| 437| 2,145| 1,523| 1,726| 1,564| 1,202| 1,810| 2,998| 2,613| 8

| | | | | | | | | | | | |

S26-S27,S36-S37.....| 6,881| 23| 85| 148| 1,262| 1,031| 974| 777| 522| 591| 851| 609| 8

| | | | | | | | | | | | |

S07---T05...........| 1,246| 8| 40| 35| 191| 188| 236| 202| 120| 110| 81| 33| 2

| | | | | | | | | | | | |

S00---T14...........| 88,340| 420| 1,011| 2,403| 17,882| 14,499| 14,518| 10,893| 7,236| 7,158| 7,849| 4,384| 87

| | | | | | | | | | | | |

T15-T19.............| 15,588| 123| 139| 129| 194| 272| 551| 826| 1,061| 2,278| 4,810| 5,205| -

| | | | | | | | | | | | |

T20-T32.............| 3,089| 26| 155| 118| 296| 340| 457| 390| 316| 345| 393| 248| 5

| | | | | | | | | | | | |

T36-T50.............| 19,592| 24| 27| 38| 1,358| 3,596| 7,089| 4,732| 1,204| 582| 565| 358| 19

| | | | | | | | | | | | |

T51-T65.............| 7,893| 56| 322| 318| 629| 1,135| 1,933| 1,445| 706| 531| 576| 231| 11

| | | | | | | | | | | | |

T74.................| 197| 99| 54| 11| 5| 2| 1| 1| 4| 5| 8| 6| 1

| | | | | | | | | | | | |

T75-T78..........| 18,087| 623| 727| 812| 2,600| 2,899| 3,273| 2,284| 1,316| 1,262| 1,342| 874| 75

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 11 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 3

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

__________________________________________________________________________________________________________________________________

|

| AGE

|

_____________________________________________________________________________________________________________

| ALL AGES |UNDER 1| 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 |85 YEARS| NOT

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

T79-T88.............| 23,248| 210| 154| 224| 443| 577| 1,200| 2,122| 2,981| 5,336| 6,540| 3,459| 2

| | | | | | | | | | | | |

T90-T98.............| 4,105| 4| 19| 67| 130| 280| 440| 432| 445| 562| 884| 842| -

| | | | | | | | | | | | |

__________________________________________________________________________________________________________________________________

- QUANTITY = 0

- 1 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS)

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

A01-A02.............| 67| 40| 27| 52| 29| 23| 15| 11| 4| 12| 8| 4

| | | | | | | | | | | |

A03,A06.............| 16| 11| 5| 14| 10| 4| 2| 1| 1| 2| 1| 1

| | | | | | | | | | | |

A04,A07-A09.........| 2,162| 919| 1,243| 1,965| 825| 1,140| 197| 94| 103| 171| 77| 94

| | | | | | | | | | | |

A16-A19.............| 1,858| 1,172| 686| 1,155| 713| 442| 703| 459| 244| 493| 329| 164

| | | | | | | | | | | |

A16...............| 1,592| 1,022| 570| 992| 625| 367| 600| 397| 203| 428| 286| 142

| | | | | | | | | | | |

A17-A19...........| 278| 157| 121| 167| 91| 76| 111| 66| 45| 71| 46| 25

| | | | | | | | | | | |

A37.................| 14| 5| 9| 10| 3| 7| 4| 2| 2| 4| 2| 2

| | | | | | | | | | | |

A38,A46.............| 10| 2| 8| 8| 1| 7| 2| 1| 1| 2| 1| 1

| | | | | | | | | | | |

A39.................| 246| 109| 137| 197| 85| 112| 49| 24| 25| 44| 21| 23

| | | | | | | | | | | |

A40-A41.............| 139,311| 64,560| 74,751| 110,886| 51,262| 59,624| 28,425| 13,298| 15,127| 25,183| 11,645| 13,538

| | | | | | | | | | | |

A50-A53.............| 155| 80| 75| 70| 32| 38| 85| 48| 37| 83| 48| 35

| | | | | | | | | | | |

A80.................| 2| 1| 1| 2| 1| 1| -| -| -| -| -| -

| | | | | | | | | | | |

A83-A84,A85.2.......| 3| 3| -| 3| 3| -| -| -| -| -| -| -

| | | | | | | | | | | |

B05.................| 4| 1| 3| 3| 1| 2| 1| -| 1| 1| -| 1

| | | | | | | | | | | |

B15-B19.............| 9,612| 6,458| 3,154| 7,263| 4,935| 2,328| 2,349| 1,523| 826| 1,813| 1,201| 612

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 2 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

B20-B24.............| 16,078| 12,216| 3,862| 7,440| 6,185| 1,255| 8,638| 6,031| 2,607| 8,467| 5,892| 2,575

| | | | | | | | | | | |

B50-B54.............| 9| 5| 4| 6| 4| 2| 3| 1| 2| 3| 1| 2

| | | | | | | | | | | |

A00---B99...........| 18,396| 10,162| 8,234| 14,217| 7,768| 6,449| 4,179| 2,394| 1,785| 3,589| 2,049| 1,540

| | | | | | | | | | | |

C00-C97 ............| 612,459| 321,648| 290,811| 532,248| 278,702| 253,546| 80,211| 42,946| 37,265| 68,501| 36,740| 31,761

| | | | | | | | | | | |

C00-C14...........| 9,377| 6,248| 3,129| 7,733| 5,057| 2,676| 1,644| 1,191| 453| 1,383| 1,007| 376

| | | | | | | | | | | |

C15...............| 13,109| 9,975| 3,134| 11,102| 8,498| 2,604| 2,007| 1,477| 530| 1,793| 1,308| 485

| | | | | | | | | | | |

C16...............| 14,095| 8,301| 5,794| 10,850| 6,433| 4,417| 3,245| 1,868| 1,377| 2,437| 1,403| 1,034

| | | | | | | | | | | |

C18-C21...........| 68,153| 33,930| 34,223| 59,192| 29,653| 29,539| 8,961| 4,277| 4,684| 7,811| 3,695| 4,116

| | | | | | | | | | | |

C22...............| 13,815| 8,632| 5,183| 11,151| 6,920| 4,231| 2,664| 1,712| 952| 1,684| 1,057| 627

| | | | | | | | | | | |

C25...............| 30,558| 14,916| 15,642| 26,317| 12,885| 13,432| 4,241| 2,031| 2,210| 3,596| 1,720| 1,876

| | | | | | | | | | | |

C32...............| 5,279| 4,174| 1,105| 4,370| 3,442| 928| 909| 732| 177| 845| 680| 165

| | | | | | | | | | | |

C33-C34...........| 162,399| 95,726| 66,673| 142,910| 83,409| 59,501| 19,489| 12,317| 7,172| 16,881| 10,733| 6,148

| | | | | | | | | | | |

C43...............| 8,001| 4,996| 3,005| 7,856| 4,920| 2,936| 145| 76| 69| 110| 54| 56

| | | | | | | | | | | |

C50...............| 51,206| 486| 50,720| 44,047| 396| 43,651| 7,159| 90| 7,069| 6,313| 83| 6,230

| | | | | | | | | | | |

C53...............| 4,793| ...| 4,793| 3,678| ...| 3,678| 1,115| ...| 1,115| 962| ...| 962

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 3 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

C54-C55...........| 7,760| ...| 7,760| 6,510| ...| 6,510| 1,250| ...| 1,250| 1,139| ...| 1,139

| | | | | | | | | | | |

C56...............| 14,771| ...| 14,771| 13,326| ...| 13,326| 1,445| ...| 1,445| 1,176| ...| 1,176

| | | | | | | | | | | |

C61...............| 45,456| 45,456| ...| 37,775| 37,775| ...| 7,681| 7,681| ...| 7,146| 7,146| ...

| | | | | | | | | | | |

C64-C65...........| 13,081| 8,097| 4,984| 11,647| 7,225| 4,422| 1,434| 872| 562| 1,201| 723| 478

| | | | | | | | | | | |

C67...............| 15,920| 11,124| 4,796| 14,594| 10,374| 4,220| 1,326| 750| 576| 1,159| 632| 527

| | | | | | | | | | | |

C70-C72...........| 13,439| 7,339| 6,100| 12,406| 6,788| 5,618| 1,033| 551| 482| 829| 433| 396

| | | | | | | | | | | |

C81-C96 ..........| 67,597| 36,325| 31,272| 60,077| 32,333| 27,744| 7,520| 3,992| 3,528| 6,293| 3,318| 2,975

| | | | | | | | | | | |

C81...............| 1,945| 1,105| 840| 1,735| 987| 748| 210| 118| 92| 189| 115| 74

| | | | | | | | | | | |

C82-C85...........| 27,791| 14,833| 12,958| 25,294| 13,386| 11,908| 2,497| 1,447| 1,050| 1,995| 1,153| 842

| | | | | | | | | | | |

C91-C95...........| 25,618| 14,161| 11,457| 23,117| 12,830| 10,287| 2,501| 1,331| 1,170| 2,021| 1,063| 958

| | | | | | | | | | | |

C88,C90...........| 13,124| 6,760| 6,364| 10,727| 5,625| 5,102| 2,397| 1,135| 1,262| 2,163| 1,021| 1,142

| | | | | | | | | | | |

C96...............| 125| 66| 59| 114| 60| 54| 11| 6| 5| 10| 6| 4

| | | | | | | | | | | |

C17---C97.........| 126,296| 63,860| 62,436| 109,951| 55,533| 54,418| 16,345| 8,327| 8,018| 13,870| 7,071| 6,799

| | | | | | | | | | | |

D00-D48.............| 22,676| 11,254| 11,422| 20,308| 10,173| 10,135| 2,368| 1,081| 1,287| 1,983| 885| 1,098

| | | | | | | | | | | |

D50-D64.............| 44,910| 19,129| 25,781| 36,892| 15,481| 21,411| 8,018| 3,648| 4,370| 7,050| 3,164| 3,886

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 4 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

E10-E14.............| 209,881| 99,006| 110,875| 172,314| 83,105| 89,209| 37,567| 15,901| 21,666| 32,087| 13,263| 18,824

| | | | | | | | | | | |

E40-E64.............| 27,935| 11,180| 16,755| 23,894| 9,224| 14,670| 4,041| 1,956| 2,085| 3,520| 1,703| 1,817

| | | | | | | | | | | |

E40-E46.............| 25,362| 10,158| 15,204| 21,596| 8,334| 13,262| 3,766| 1,824| 1,942| 3,279| 1,591| 1,688

| | | | | | | | | | | |

E50-E64.............| 2,639| 1,051| 1,588| 2,355| 915| 1,440| 284| 136| 148| 250| 116| 134

| | | | | | | | | | | |

G00,G03.............| 2,122| 1,119| 1,003| 1,527| 779| 748| 595| 340| 255| 531| 308| 223

| | | | | | | | | | | |

G20-G21.............| 31,200| 17,495| 13,705| 29,517| 16,568| 12,949| 1,683| 927| 756| 1,233| 664| 569

| | | | | | | | | | | |

G30.................| 78,695| 25,110| 53,585| 73,277| 23,354| 49,923| 5,418| 1,756| 3,662| 4,782| 1,522| 3,260

| | | | | | | | | | | |

I00-I78.............|1,404,765| 661,456| 743,309|1,216,318| 571,631| 644,687| 188,447| 89,825| 98,622| 162,715| 76,073| 86,642

| | | | | | | | | | | |

I20-I51........|1,211,124| 581,931| 629,193|1,049,857| 504,063| 545,794| 161,267| 77,868| 83,399| 139,165| 65,846| 73,319

| | | | | | | | | | | |

I00-I09.........| 7,403| 2,412| 4,991| 6,659| 2,178| 4,481| 744| 234| 510| 546| 175| 371

| | | | | | | | | | | |

I11.............| 25,326| 10,990| 14,336| 18,294| 7,645| 10,649| 7,032| 3,345| 3,687| 6,530| 3,090| 3,440

| | | | | | | | | | | |

I13.............| 4,467| 1,869| 2,598| 2,970| 1,200| 1,770| 1,497| 669| 828| 1,388| 616| 772

| | | | | | | | | | | |

I20-I25 ........| 680,246| 346,462| 333,784| 602,791| 308,216| 294,575| 77,455| 38,246| 39,209| 66,267| 31,799| 34,468

| | | | | | | | | | | |

I21-I22.........| 238,677| 124,643| 114,034| 210,415| 110,867| 99,548| 28,262| 13,776| 14,486| 24,318| 11,540| 12,778

| | | | | | | | | | | |

I24.............| 7,837| 4,211| 3,626| 6,754| 3,593| 3,161| 1,083| 618| 465| 932| 532| 400

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 5 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

I20,I25 ........| 543,423| 276,837| 266,586| 483,638| 247,135| 236,503| 59,785| 29,702| 30,083| 50,777| 24,454| 26,323

| | | | | | | | | | | |

I25.0.........| 100,989| 51,906| 49,083| 85,190| 43,413| 41,777| 15,799| 8,493| 7,306| 13,892| 7,328| 6,564

| | | | | | | | | | | |

I20, | | | | | | | | | | | |

I25.1-I25.9| 447,911| 227,920| 219,991| 403,378| 206,416| 196,962| 44,533| 21,504| 23,029| 37,342| 17,358| 19,984

| | | | | | | | | | | |

I26-I51 ..........| 798,514| 370,836| 427,678| 693,030| 320,960| 372,070| 105,484| 49,876| 55,608| 89,655| 41,488| 48,167

| | | | | | | | | | | |

I33.............| 2,402| 1,344| 1,058| 1,868| 1,056| 812| 534| 288| 246| 484| 259| 225

| | | | | | | | | | | |

I30-I31,I40.....| 4,827| 2,648| 2,179| 3,953| 2,151| 1,802| 874| 497| 377| 730| 412| 318

| | | | | | | | | | | |

I50.............| 286,523| 121,415| 165,108| 258,394| 109,422| 148,972| 28,129| 11,993| 16,136| 24,307| 10,147| 14,160

| | | | | | | | | | | |

I42-I49,I51..| 608,180| 290,050| 318,130| 520,744| 247,898| 272,846| 87,436| 42,152| 45,284| 73,824| 34,841| 38,983

| | | | | | | | | | | |

I10,I12...........| 87,901| 34,941| 52,960| 70,989| 27,670| 43,319| 16,912| 7,271| 9,641| 15,020| 6,380| 8,640

| | | | | | | | | | | |

I60-I69...........| 282,491| 114,038| 168,453| 242,723| 96,870| 145,853| 39,768| 17,168| 22,600| 33,599| 14,211| 19,388

| | | | | | | | | | | |

I70...............| 46,604| 18,806| 27,798| 42,106| 16,927| 25,179| 4,498| 1,879| 2,619| 3,945| 1,606| 2,339

| | | | | | | | | | | |

I71-I78 ..........| 58,017| 30,335| 27,682| 50,840| 26,972| 23,868| 7,177| 3,363| 3,814| 6,268| 2,845| 3,423

| | | | | | | | | | | |

I71.............| 22,028| 13,530| 8,498| 19,995| 12,425| 7,570| 2,033| 1,105| 928| 1,622| 842| 780

| | | | | | | | | | | |

I72-I78.........| 36,899| 17,399| 19,500| 31,653| 15,087| 16,566| 5,246| 2,312| 2,934| 4,736| 2,049| 2,687

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 6 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

I80-I99.............| 29,533| 13,974| 15,559| 24,778| 11,628| 13,150| 4,755| 2,346| 2,409| 4,104| 1,993| 2,111

| | | | | | | | | | | |

J10-J18 ............| 230,684| 111,027| 119,657| 204,110| 97,045| 107,065| 26,574| 13,982| 12,592| 21,937| 11,412| 10,525

| | | | | | | | | | | |

J10-J11...........| 2,177| 841| 1,336| 2,047| 789| 1,258| 130| 52| 78| 95| 37| 58

| | | | | | | | | | | |

J12-J18...........| 228,983| 110,359| 118,624| 202,517| 96,421| 106,096| 26,466| 13,938| 12,528| 21,859| 11,380| 10,479

| | | | | | | | | | | |

J20-J22 ............| 1,819| 744| 1,075| 1,629| 647| 982| 190| 97| 93| 152| 77| 75

| | | | | | | | | | | |

J20-J21...........| 1,506| 634| 872| 1,336| 547| 789| 170| 87| 83| 134| 68| 66

| | | | | | | | | | | |

J22...............| 313| 110| 203| 293| 100| 193| 20| 10| 10| 18| 9| 9

| | | | | | | | | | | |

J40-J47 ............| 254,482| 134,623| 119,859| 233,794| 122,547| 111,247| 20,688| 12,076| 8,612| 17,588| 10,179| 7,409

| | | | | | | | | | | |

J40-J42...........| 3,445| 1,526| 1,919| 3,085| 1,340| 1,745| 360| 186| 174| 288| 142| 146

| | | | | | | | | | | |

J43...............| 32,741| 18,437| 14,304| 30,435| 16,908| 13,527| 2,306| 1,529| 777| 1,960| 1,289| 671

| | | | | | | | | | | |

J45-J46...........| 9,918| 3,475| 6,443| 7,425| 2,500| 4,925| 2,493| 975| 1,518| 2,132| 809| 1,323

| | | | | | | | | | | |

J44,J47...........| 211,872| 113,051| 98,821| 196,080| 103,514| 92,566| 15,792| 9,537| 6,255| 13,435| 8,063| 5,372

| | | | | | | | | | | |

J60-J66,J68.........| 2,789| 2,705| 84| 2,626| 2,547| 79| 163| 158| 5| 145| 140| 5

| | | | | | | | | | | |

J69.................| 56,552| 29,635| 26,917| 50,179| 26,217| 23,962| 6,373| 3,418| 2,955| 5,414| 2,835| 2,579

| | | | | | | | | | | |

J67,J70-J98.....| 225,616| 109,897| 115,719| 196,732| 95,508| 101,224| 28,884| 14,389| 14,495| 23,922| 11,688| 12,234

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 7 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

K25-K28.............| 11,625| 5,724| 5,901| 10,151| 4,934| 5,217| 1,474| 790| 684| 1,149| 610| 539

| | | | | | | | | | | |

K35-K38.............| 714| 420| 294| 587| 343| 244| 127| 77| 50| 111| 70| 41

| | | | | | | | | | | |

K40-K46.............| 3,479| 1,375| 2,104| 3,147| 1,244| 1,903| 332| 131| 201| 284| 113| 171

| | | | | | | | | | | |

K70,K73-K74 ........| 40,627| 26,540| 14,087| 34,623| 22,711| 11,912| 6,004| 3,829| 2,175| 4,643| 3,030| 1,613

| | | | | | | | | | | |

K70...............| 11,044| 8,365| 2,679| 9,207| 7,087| 2,120| 1,837| 1,278| 559| 1,422| 1,009| 413

| | | | | | | | | | | |

K73-K74...........| 30,167| 18,598| 11,569| 25,924| 15,999| 9,925| 4,243| 2,599| 1,644| 3,277| 2,061| 1,216

| | | | | | | | | | | |

K80-K82.............| 5,933| 2,610| 3,323| 5,195| 2,300| 2,895| 738| 310| 428| 577| 233| 344

| | | | | | | | | | | |

N25-N27..........| 185,714| 95,607| 90,107| 149,593| 78,392| 71,201| 36,121| 17,215| 18,906| 31,260| 14,707| 16,553

| | | | | | | | | | | |

N00-N01,N04.......| 595| 283| 312| 477| 232| 245| 118| 51| 67| 95| 38| 57

| | | | | | | | | | | |

N02-N03 | | | | | | | | | | | |

N05-N07,N26....| 1,459| 757| 702| 1,165| 610| 555| 294| 147| 147| 239| 120| 119

| | | | | | | | | | | |

N17-N19...........| 184,378| 94,948| 89,430| 148,563| 77,877| 70,686| 35,815| 17,071| 18,744| 30,998| 14,586| 16,412

| | | | | | | | | | | |

N25,N27...........| 153| 56| 97| 103| 39| 64| 50| 17| 33| 48| 17| 31

| | | | | | | | | | | |

N10-N12,N13.6,N15.1.| 1,868| 649| 1,219| 1,629| 561| 1,068| 239| 88| 151| 211| 78| 133

| | | | | | | | | | | |

N40.................| 2,672| 2,672| ...| 2,447| 2,447| ...| 225| 225| ...| 193| 193| ...

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 8 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

N70-N76.............| 296| ...| 296| 235| ...| 235| 61| ...| 61| 57| ...| 57

| | | | | | | | | | | |

O00-O99 ............| 444| ...| 444| 246| ...| 246| 198| ...| 198| 172| ...| 172

| | | | | | | | | | | |

O00-O07...........| 38| ...| 38| 19| ...| 19| 19| ...| 19| 18| ...| 18

| | | | | | | | | | | |

O10-O99...........| 415| ...| 415| 232| ...| 232| 183| ...| 183| 158| ...| 158

| | | | | | | | | | | |

P00-P96.............| 18,203| 10,193| 8,010| 11,508| 6,445| 5,063| 6,695| 3,748| 2,947| 6,097| 3,428| 2,669

| | | | | | | | | | | |

Q00-Q99.............| 14,979| 7,739| 7,240| 12,086| 6,226| 5,860| 2,893| 1,513| 1,380| 2,378| 1,262| 1,116

| | | | | | | | | | | |

R00-R99.............| 283,204| 128,171| 155,033| 243,252| 108,470| 134,782| 39,952| 19,701| 20,251| 34,036| 16,596| 17,440

| | | | | | | | | | | |

RESIDUAL............| 531,119| 236,268| 294,851| 458,050| 200,826| 257,224| 73,069| 35,442| 37,627| 63,036| 30,155| 32,881

| | | | | | | | | | | |

V01-X59,Y85-Y86 ....| 135,992| 81,860| 54,132| 116,109| 68,831| 47,278| 19,883| 13,029| 6,854| 16,348| 10,783| 5,565

| | | | | | | | | | | |

V01-V99,Y85 ......| 47,824| 32,621| 15,203| 39,958| 27,219| 12,739| 7,866| 5,402| 2,464| 6,029| 4,260| 1,769

| | | | | | | | | | | |

V02---V89.2.....| 43,505| 29,319| 14,186| 36,274| 24,414| 11,860| 7,231| 4,905| 2,326| 5,574| 3,901| 1,673

| | | | | | | | | | | |

V01---V89.9.....| 2,262| 1,654| 608| 1,886| 1,367| 519| 376| 287| 89| 262| 202| 60

| | | | | | | | | | | |

V90-V99,Y85.....| 2,059| 1,648| 411| 1,800| 1,438| 362| 259| 210| 49| 193| 157| 36

| | | | | | | | | | | |

W00-X59,Y86 ......| 88,475| 49,459| 39,016| 76,418| 41,806| 34,612| 12,057| 7,653| 4,404| 10,349| 6,548| 3,801

| | | | | | | | | | | |

W00-W19.........| 17,264| 8,779| 8,485| 15,842| 7,909| 7,933| 1,422| 870| 552| 1,084| 658| 426

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 9 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

W32-W34.........| 863| 741| 122| 679| 581| 98| 184| 160| 24| 165| 142| 23

| | | | | | | | | | | |

W65-W74.........| 3,694| 2,914| 780| 2,849| 2,221| 628| 845| 693| 152| 648| 539| 109

| | | | | | | | | | | |

X00-X09.........| 3,530| 2,135| 1,395| 2,527| 1,556| 971| 1,003| 579| 424| 923| 528| 395

| | | | | | | | | | | |

X40-X49.........| 14,596| 10,452| 4,144| 11,649| 8,373| 3,276| 2,947| 2,079| 868| 2,664| 1,900| 764

| | | | | | | | | | | |

W75-W99, | | | | | | | | | | | |

X10-X39, | | | | | | | | | | | |

X50-X59,Y86...| 49,077| 24,811| 24,266| 43,349| 21,491| 21,858| 5,728| 3,320| 2,408| 4,924| 2,821| 2,103

| | | | | | | | | | | |

X60-X84,Y87.0 ......| 29,490| 23,669| 5,821| 26,559| 21,296| 5,263| 2,931| 2,373| 558| 1,965| 1,660| 305

| | | | | | | | | | | |

X72-X74...........| 16,712| 14,579| 2,133| 15,246| 13,265| 1,981| 1,466| 1,314| 152| 1,126| 1,019| 107

| | | | | | | | | | | |

Y87.0..........| 12,823| 9,130| 3,693| 11,355| 8,068| 3,287| 1,468| 1,062| 406| 842| 644| 198

| | | | | | | | | | | |

X85-Y09,Y87.1 ......| 17,119| 12,956| 4,163| 8,799| 6,289| 2,510| 8,320| 6,667| 1,653| 7,700| 6,251| 1,449

| | | | | | | | | | | |

X93-X95...........| 10,900| 9,003| 1,897| 4,975| 3,868| 1,107| 5,925| 5,135| 790| 5,589| 4,892| 697

| | | | | | | | | | | |

Y87.1..........| 6,314| 4,026| 2,288| 3,874| 2,459| 1,415| 2,440| 1,567| 873| 2,151| 1,391| 760

| | | | | | | | | | | |

Y35,Y89.0...........| 412| 406| 6| 266| 261| 5| 146| 145| 1| 129| 128| 1

| | | | | | | | | | | |

Y10-Y34,Y87.2,Y89.9 | 4,191| 2,865| 1,326| 3,347| 2,246| 1,101| 844| 619| 225| 743| 553| 190

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 10 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

Y22-Y24...........| 330| 283| 47| 251| 216| 35| 79| 67| 12| 68| 58| 10

| | | | | | | | | | | |

Y87.2,Y89.9....| 3,863| 2,584| 1,279| 3,098| 2,032| 1,066| 765| 552| 213| 675| 495| 180

| | | | | | | | | | | |

Y36,Y89.1...........| 53| 52| 1| 51| 50| 1| 2| 2| -| 2| 2| -

| | | | | | | | | | | |

Y40-Y84,Y88.........| 34,002| 17,450| 16,552| 29,197| 15,101| 14,096| 4,805| 2,349| 2,456| 4,080| 1,964| 2,116

| | | | | | | | | | | |

S00-T98.............| 199,076| 127,726| 71,350| 164,722| 103,950| 60,772| 34,354| 23,776| 10,578| 28,787| 20,147| 8,640

| | | | | | | | | | | |

S02.................| 3,927| 2,800| 1,127| 3,363| 2,370| 993| 564| 430| 134| 419| 320| 99

| | | | | | | | | | | |

S12,S22,S32,T08.....| 7,040| 3,908| 3,132| 6,359| 3,440| 2,919| 681| 468| 213| 518| 370| 148

| | | | | | | | | | | |

S72.................| 15,838| 5,669| 10,169| 15,019| 5,339| 9,680| 819| 330| 489| 660| 263| 397

| | | | | | | | | | | |

T10,T12..........| 2,598| 919| 1,679| 2,379| 813| 1,566| 219| 106| 113| 180| 90| 90

| | | | | | | | | | | |

T02.................| 725| 419| 306| 631| 361| 270| 94| 58| 36| 75| 46| 29

| | | | | | | | | | | |

S93,T03..........| 541| 302| 239| 445| 239| 206| 96| 63| 33| 78| 50| 28

| | | | | | | | | | | |

S05.................| 87| 47| 40| 75| 40| 35| 12| 7| 5| 12| 7| 5

| | | | | | | | | | | |

S06.................| 16,396| 10,881| 5,515| 13,814| 9,021| 4,793| 2,582| 1,860| 722| 2,008| 1,456| 552

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 11 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 4

NUMBER OF RESIDENT DEATHS TABULATED BY

RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

S26-S27,S36-S37.....| 6,881| 4,786| 2,095| 5,343| 3,602| 1,741| 1,538| 1,184| 354| 1,354| 1,062| 292

| | | | | | | | | | | |

S07---T05...........| 1,246| 980| 266| 1,052| 829| 223| 194| 151| 43| 153| 122| 31

| | | | | | | | | | | |

S00---T14...........| 88,335| 64,632| 23,703| 70,322| 50,810| 19,512| 18,013| 13,822| 4,191| 15,058| 11,818| 3,240

| | | | | | | | | | | |

T15-T19.............| 15,582| 7,914| 7,668| 13,345| 6,698| 6,647| 2,237| 1,216| 1,021| 1,958| 1,043| 915

| | | | | | | | | | | |

T20-T32.............| 3,089| 2,034| 1,055| 2,350| 1,577| 773| 739| 457| 282| 652| 399| 253

| | | | | | | | | | | |

T36-T50.............| 19,591| 13,024| 6,567| 16,129| 10,623| 5,506| 3,462| 2,401| 1,061| 3,137| 2,215| 922

| | | | | | | | | | | |

T51-T65.............| 7,893| 5,544| 2,349| 6,385| 4,577| 1,808| 1,508| 967| 541| 1,274| 813| 461

| | | | | | | | | | | |

T74.................| 197| 107| 90| 101| 55| 46| 96| 52| 44| 85| 44| 41

| | | | | | | | | | | |

T75-T78..........| 18,082| 13,384| 4,698| 14,411| 10,810| 3,601| 3,671| 2,574| 1,097| 2,776| 1,939| 837

| | | | | | | | | | | |

T79-T88.............| 23,248| 12,304| 10,944| 19,759| 10,548| 9,211| 3,489| 1,756| 1,733| 2,991| 1,474| 1,517

| | | | | | | | | | | |

T90-T98.............| 4,105| 2,463| 1,642| 3,460| 2,011| 1,449| 645| 452| 193| 549| 390| 159

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

1/ INCLUDES BLACK

_

- QUANTITY = 0

- 1 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS)

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

A01-A02.............| 67| 40| 27| 52| 29| 23| 15| 11| 4| 12| 8| 4

| | | | | | | | | | | |

A03,A06.............| 16| 11| 5| 14| 10| 4| 2| 1| 1| 2| 1| 1

| | | | | | | | | | | |

A04,A07-A09.........| 2,163| 919| 1,244| 1,966| 825| 1,141| 197| 94| 103| 171| 77| 94

| | | | | | | | | | | |

A16-A19.............| 1,987| 1,275| 712| 1,193| 743| 450| 794| 532| 262| 583| 401| 182

| | | | | | | | | | | |

A16...............| 1,704| 1,108| 596| 1,027| 652| 375| 677| 456| 221| 504| 345| 159

| | | | | | | | | | | |

A17-A19...........| 305| 179| 126| 175| 97| 78| 130| 82| 48| 89| 61| 28

| | | | | | | | | | | |

A37.................| 14| 5| 9| 10| 3| 7| 4| 2| 2| 4| 2| 2

| | | | | | | | | | | |

A38,A46.............| 10| 2| 8| 8| 1| 7| 2| 1| 1| 2| 1| 1

| | | | | | | | | | | |

A39.................| 247| 109| 138| 198| 85| 113| 49| 24| 25| 44| 21| 23

| | | | | | | | | | | |

A40-A41.............| 139,550| 64,680| 74,870| 111,085| 51,358| 59,727| 28,465| 13,322| 15,143| 25,214| 11,668| 13,546

| | | | | | | | | | | |

A50-A53.............| 155| 80| 75| 70| 32| 38| 85| 48| 37| 83| 48| 35

| | | | | | | | | | | |

A80.................| 2| 1| 1| 2| 1| 1| -| -| -| -| -| -

| | | | | | | | | | | |

A83-A84,A85.2.......| 3| 3| -| 3| 3| -| -| -| -| -| -| -

| | | | | | | | | | | |

B05.................| 4| 1| 3| 3| 1| 2| 1| -| 1| 1| -| 1

| | | | | | | | | | | |

B15-B19.............| 9,614| 6,460| 3,154| 7,264| 4,936| 2,328| 2,350| 1,524| 826| 1,814| 1,202| 612

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 2 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

B20-B24.............| 16,080| 12,217| 3,863| 7,441| 6,185| 1,256| 8,639| 6,032| 2,607| 8,468| 5,893| 2,575

| | | | | | | | | | | |

B50-B54.............| 9| 5| 4| 6| 4| 2| 3| 1| 2| 3| 1| 2

| | | | | | | | | | | |

A00---B99...........| 20,359| 11,334| 9,025| 15,470| 8,506| 6,964| 4,889| 2,828| 2,061| 4,245| 2,455| 1,790

| | | | | | | | | | | |

C00-C97 ............| 613,284| 322,152| 291,132| 532,961| 279,120| 253,841| 80,323| 43,032| 37,291| 68,610| 36,825| 31,785

| | | | | | | | | | | |

C00-C14...........| 9,387| 6,254| 3,133| 7,743| 5,063| 2,680| 1,644| 1,191| 453| 1,383| 1,007| 376

| | | | | | | | | | | |

C15...............| 13,269| 10,094| 3,175| 11,241| 8,601| 2,640| 2,028| 1,493| 535| 1,808| 1,319| 489

| | | | | | | | | | | |

C16...............| 14,124| 8,322| 5,802| 10,877| 6,452| 4,425| 3,247| 1,870| 1,377| 2,438| 1,404| 1,034

| | | | | | | | | | | |

C18-C21...........| 68,259| 33,989| 34,270| 59,296| 29,711| 29,585| 8,963| 4,278| 4,685| 7,813| 3,696| 4,117

| | | | | | | | | | | |

C22...............| 13,828| 8,638| 5,190| 11,164| 6,926| 4,238| 2,664| 1,712| 952| 1,684| 1,057| 627

| | | | | | | | | | | |

C25...............| 30,629| 14,954| 15,675| 26,383| 12,921| 13,462| 4,246| 2,033| 2,213| 3,601| 1,722| 1,879

| | | | | | | | | | | |

C32...............| 5,288| 4,182| 1,106| 4,379| 3,450| 929| 909| 732| 177| 845| 680| 165

| | | | | | | | | | | |

C33-C34...........| 162,644| 95,863| 66,781| 143,141| 83,536| 59,605| 19,503| 12,327| 7,176| 16,894| 10,742| 6,152

| | | | | | | | | | | |

C43...............| 8,058| 5,030| 3,028| 7,912| 4,953| 2,959| 146| 77| 69| 111| 55| 56

| | | | | | | | | | | |

C50...............| 51,274| 488| 50,786| 44,112| 398| 43,714| 7,162| 90| 7,072| 6,316| 83| 6,233

| | | | | | | | | | | |

C53...............| 4,802| ...| 4,802| 3,686| ...| 3,686| 1,116| ...| 1,116| 963| ...| 963

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 3 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

C54-C55...........| 7,814| ...| 7,814| 6,554| ...| 6,554| 1,260| ...| 1,260| 1,147| ...| 1,147

| | | | | | | | | | | |

C56...............| 14,803| ...| 14,803| 13,354| ...| 13,354| 1,449| ...| 1,449| 1,179| ...| 1,179

| | | | | | | | | | | |

C61...............| 45,508| 45,508| ...| 37,823| 37,823| ...| 7,685| 7,685| ...| 7,150| 7,150| ...

| | | | | | | | | | | |

C64-C65...........| 13,092| 8,106| 4,986| 11,658| 7,234| 4,424| 1,434| 872| 562| 1,201| 723| 478

| | | | | | | | | | | |

C67...............| 15,942| 11,140| 4,802| 14,616| 10,390| 4,226| 1,326| 750| 576| 1,159| 632| 527

| | | | | | | | | | | |

C70-C72...........| 13,455| 7,350| 6,105| 12,421| 6,798| 5,623| 1,034| 552| 482| 830| 434| 396

| | | | | | | | | | | |

C81-C96 ..........| 67,700| 36,380| 31,320| 60,174| 32,387| 27,787| 7,526| 3,993| 3,533| 6,298| 3,319| 2,979

| | | | | | | | | | | |

C81...............| 1,948| 1,107| 841| 1,738| 989| 749| 210| 118| 92| 189| 115| 74

| | | | | | | | | | | |

C82-C85...........| 27,838| 14,860| 12,978| 25,335| 13,412| 11,923| 2,503| 1,448| 1,055| 2,000| 1,154| 846

| | | | | | | | | | | |

C91-C95...........| 25,656| 14,180| 11,476| 23,155| 12,849| 10,306| 2,501| 1,331| 1,170| 2,021| 1,063| 958

| | | | | | | | | | | |

C88,C90...........| 13,142| 6,769| 6,373| 10,745| 5,634| 5,111| 2,397| 1,135| 1,262| 2,163| 1,021| 1,142

| | | | | | | | | | | |

C96...............| 156| 83| 73| 140| 74| 66| 16| 9| 7| 15| 9| 6

| | | | | | | | | | | |

C17---C97.........| 156,882| 79,673| 77,209| 135,951| 68,924| 67,027| 20,931| 10,749| 10,182| 17,913| 9,227| 8,686

| | | | | | | | | | | |

D00-D48.............| 23,946| 11,917| 12,029| 21,459| 10,778| 10,681| 2,487| 1,139| 1,348| 2,073| 928| 1,145

| | | | | | | | | | | |

D50-D64.............| 45,362| 19,350| 26,012| 37,319| 15,691| 21,628| 8,043| 3,659| 4,384| 7,072| 3,174| 3,898

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 4 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

E10-E14.............| 209,986| 99,053| 110,933| 172,411| 83,149| 89,262| 37,575| 15,904| 21,671| 32,092| 13,264| 18,828

| | | | | | | | | | | |

E40-E64.............| 28,472| 11,431| 17,041| 24,303| 9,413| 14,890| 4,169| 2,018| 2,151| 3,641| 1,761| 1,880

| | | | | | | | | | | |

E40-E46.............| 25,891| 10,411| 15,480| 21,998| 8,525| 13,473| 3,893| 1,886| 2,007| 3,399| 1,649| 1,750

| | | | | | | | | | | |

E50-E64.............| 2,654| 1,053| 1,601| 2,368| 917| 1,451| 286| 136| 150| 251| 116| 135

| | | | | | | | | | | |

G00,G03.............| 2,135| 1,127| 1,008| 1,538| 785| 753| 597| 342| 255| 533| 310| 223

| | | | | | | | | | | |

G20-G21.............| 31,234| 17,518| 13,716| 29,550| 16,590| 12,960| 1,684| 928| 756| 1,234| 665| 569

| | | | | | | | | | | |

G30.................| 78,781| 25,135| 53,646| 73,359| 23,378| 49,981| 5,422| 1,757| 3,665| 4,786| 1,523| 3,263

| | | | | | | | | | | |

I00-I78.............|1,406,982| 662,448| 744,534|1,218,150| 572,472| 645,678| 188,832| 89,976| 98,856| 163,066| 76,210| 86,856

| | | | | | | | | | | |

I20-I51........|1,246,608| 595,446| 651,162|1,077,021| 513,946| 563,075| 169,587| 81,500| 88,087| 146,489| 69,012| 77,477

| | | | | | | | | | | |

I00-I09.........| 7,313| 2,378| 4,935| 6,584| 2,151| 4,433| 729| 227| 502| 536| 169| 367

| | | | | | | | | | | |

I11.............| 37,821| 18,273| 19,548| 27,011| 12,876| 14,135| 10,810| 5,397| 5,413| 10,018| 4,979| 5,039

| | | | | | | | | | | |

I13.............| 175| 85| 90| 141| 68| 73| 34| 17| 17| 33| 17| 16

| | | | | | | | | | | |

I20-I25 ........| 681,452| 346,993| 334,459| 603,947| 308,725| 295,222| 77,505| 38,268| 39,237| 66,314| 31,819| 34,495

| | | | | | | | | | | |

I21-I22.........| 239,196| 124,901| 114,295| 210,918| 111,120| 99,798| 28,278| 13,781| 14,497| 24,333| 11,545| 12,788

| | | | | | | | | | | |

I24.............| 7,849| 4,218| 3,631| 6,765| 3,600| 3,165| 1,084| 618| 466| 933| 532| 401

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 5 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

I20,I25 ........| 544,629| 277,367| 267,262| 484,779| 247,642| 237,137| 59,850| 29,725| 30,125| 50,838| 24,475| 26,363

| | | | | | | | | | | |

I25.0.........| 101,072| 51,951| 49,121| 85,267| 43,455| 41,812| 15,805| 8,496| 7,309| 13,897| 7,330| 6,567

| | | | | | | | | | | |

I20, | | | | | | | | | | | |

I25.1-I25.9| 449,335| 228,567| 220,768| 404,710| 207,026| 197,684| 44,625| 21,541| 23,084| 37,426| 17,391| 20,035

| | | | | | | | | | | |

I26-I51 ..........| 807,883| 374,260| 433,623| 700,489| 323,660| 376,829| 107,394| 50,600| 56,794| 91,422| 42,152| 49,270

| | | | | | | | | | | |

I33.............| 2,412| 1,345| 1,067| 1,876| 1,057| 819| 536| 288| 248| 486| 259| 227

| | | | | | | | | | | |

I30-I31,I40.....| 4,838| 2,653| 2,185| 3,960| 2,154| 1,806| 878| 499| 379| 734| 414| 320

| | | | | | | | | | | |

I50.............| 297,641| 125,184| 172,457| 267,199| 112,314| 154,885| 30,442| 12,870| 17,572| 26,437| 10,942| 15,495

| | | | | | | | | | | |

I42-I49,I51..| 611,634| 291,697| 319,937| 523,603| 249,292| 274,311| 88,031| 42,405| 45,626| 74,370| 35,073| 39,297

| | | | | | | | | | | |

I10,I12...........| 205,602| 83,546| 122,056| 166,535| 66,840| 99,695| 39,067| 16,706| 22,361| 34,244| 14,385| 19,859

| | | | | | | | | | | |

I60-I69...........| 282,794| 114,128| 168,666| 243,008| 96,955| 146,053| 39,786| 17,173| 22,613| 33,612| 14,214| 19,398

| | | | | | | | | | | |

I70...............| 76,002| 31,684| 44,318| 68,454| 28,493| 39,961| 7,548| 3,191| 4,357| 6,485| 2,651| 3,834

| | | | | | | | | | | |

I71-I78 ..........| 65,712| 34,323| 31,389| 57,138| 30,402| 26,736| 8,574| 3,921| 4,653| 7,503| 3,328| 4,175

| | | | | | | | | | | |

I71.............| 22,063| 13,551| 8,512| 20,027| 12,445| 7,582| 2,036| 1,106| 930| 1,625| 843| 782

| | | | | | | | | | | |

I72-I78.........| 44,693| 21,468| 23,225| 38,042| 18,592| 19,450| 6,651| 2,876| 3,775| 5,975| 2,535| 3,440

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 6 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

I80-I99.............| 32,989| 15,603| 17,386| 27,753| 13,025| 14,728| 5,236| 2,578| 2,658| 4,537| 2,200| 2,337

| | | | | | | | | | | |

J10-J18 ............| 232,124| 111,791| 120,333| 205,336| 97,683| 107,653| 26,788| 14,108| 12,680| 22,110| 11,511| 10,599

| | | | | | | | | | | |

J10-J11...........| 2,180| 843| 1,337| 2,050| 791| 1,259| 130| 52| 78| 95| 37| 58

| | | | | | | | | | | |

J12-J18...........| 230,657| 111,220| 119,437| 203,965| 97,152| 106,813| 26,692| 14,068| 12,624| 22,039| 11,482| 10,557

| | | | | | | | | | | |

J20-J22 ............| 2,103| 884| 1,219| 1,905| 782| 1,123| 198| 102| 96| 158| 80| 78

| | | | | | | | | | | |

J20-J21...........| 1,705| 730| 975| 1,530| 641| 889| 175| 89| 86| 138| 69| 69

| | | | | | | | | | | |

J22...............| 399| 154| 245| 376| 141| 235| 23| 13| 10| 20| 11| 9

| | | | | | | | | | | |

J40-J47 ............| 254,878| 134,805| 120,073| 234,173| 122,722| 111,451| 20,705| 12,083| 8,622| 17,603| 10,186| 7,417

| | | | | | | | | | | |

J40-J42...........| 5,681| 2,645| 3,036| 5,130| 2,354| 2,776| 551| 291| 260| 448| 229| 219

| | | | | | | | | | | |

J43...............| 35,099| 19,767| 15,332| 32,595| 18,104| 14,491| 2,504| 1,663| 841| 2,125| 1,399| 726

| | | | | | | | | | | |

J45-J46...........| 12,375| 4,390| 7,985| 9,564| 3,269| 6,295| 2,811| 1,121| 1,690| 2,378| 912| 1,466

| | | | | | | | | | | |

J44,J47...........| 211,511| 112,850| 98,661| 195,789| 103,355| 92,434| 15,722| 9,495| 6,227| 13,375| 8,031| 5,344

| | | | | | | | | | | |

J60-J66,J68.........| 2,796| 2,712| 84| 2,633| 2,554| 79| 163| 158| 5| 145| 140| 5

| | | | | | | | | | | |

J69.................| 56,643| 29,675| 26,968| 50,259| 26,250| 24,009| 6,384| 3,425| 2,959| 5,422| 2,839| 2,583

| | | | | | | | | | | |

J67,J70-J98.....| 227,265| 110,661| 116,604| 198,168| 96,165| 102,003| 29,097| 14,496| 14,601| 24,100| 11,773| 12,327

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 7 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

K25-K28.............| 11,634| 5,726| 5,908| 10,159| 4,936| 5,223| 1,475| 790| 685| 1,150| 610| 540

| | | | | | | | | | | |

K35-K38.............| 714| 420| 294| 587| 343| 244| 127| 77| 50| 111| 70| 41

| | | | | | | | | | | |

K40-K46.............| 3,482| 1,377| 2,105| 3,150| 1,246| 1,904| 332| 131| 201| 284| 113| 171

| | | | | | | | | | | |

K70,K73-K74 ........| 39,302| 25,546| 13,756| 33,573| 21,901| 11,672| 5,729| 3,645| 2,084| 4,429| 2,884| 1,545

| | | | | | | | | | | |

K70...............| 6,807| 5,140| 1,667| 5,711| 4,381| 1,330| 1,096| 759| 337| 829| 584| 245

| | | | | | | | | | | |

K73-K74...........| 33,207| 20,942| 12,265| 28,492| 18,001| 10,491| 4,715| 2,941| 1,774| 3,665| 2,348| 1,317

| | | | | | | | | | | |

K80-K82.............| 5,943| 2,611| 3,332| 5,205| 2,301| 2,904| 738| 310| 428| 577| 233| 344

| | | | | | | | | | | |

N25-N27..........| 200,825| 102,217| 98,608| 159,610| 82,771| 76,839| 41,215| 19,446| 21,769| 35,923| 16,741| 19,182

| | | | | | | | | | | |

N00-N01,N04.......| 760| 353| 407| 606| 287| 319| 154| 66| 88| 129| 53| 76

| | | | | | | | | | | |

N02-N03 | | | | | | | | | | | |

N05-N07,N26....| 1,647| 844| 803| 1,316| 683| 633| 331| 161| 170| 271| 131| 140

| | | | | | | | | | | |

N17-N19...........| 199,377| 101,520| 97,857| 158,496| 82,222| 76,274| 40,881| 19,298| 21,583| 35,633| 16,615| 19,018

| | | | | | | | | | | |

N25,N27...........| 153| 56| 97| 103| 39| 64| 50| 17| 33| 48| 17| 31

| | | | | | | | | | | |

N10-N12,N13.6,N15.1.| 1,871| 649| 1,222| 1,632| 561| 1,071| 239| 88| 151| 211| 78| 133

| | | | | | | | | | | |

N40.................| 2,672| 2,672| ...| 2,447| 2,447| ...| 225| 225| ...| 193| 193| ...

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 8 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

N70-N76.............| 296| ...| 296| 235| ...| 235| 61| ...| 61| 57| ...| 57

| | | | | | | | | | | |

O00-O99 ............| 444| ...| 444| 246| ...| 246| 198| ...| 198| 172| ...| 172

| | | | | | | | | | | |

O00-O07...........| 38| ...| 38| 19| ...| 19| 19| ...| 19| 18| ...| 18

| | | | | | | | | | | |

O10-O99...........| 418| ...| 418| 233| ...| 233| 185| ...| 185| 160| ...| 160

| | | | | | | | | | | |

P00-P96.............| 18,204| 10,193| 8,011| 11,508| 6,445| 5,063| 6,696| 3,748| 2,948| 6,098| 3,428| 2,670

| | | | | | | | | | | |

Q00-Q99.............| 15,006| 7,748| 7,258| 12,110| 6,235| 5,875| 2,896| 1,513| 1,383| 2,380| 1,262| 1,118

| | | | | | | | | | | |

R00-R99.............| 286,346| 129,722| 156,624| 245,609| 109,619| 135,990| 40,737| 20,103| 20,634| 34,731| 16,959| 17,772

| | | | | | | | | | | |

RESIDUAL............| 580,679| 258,882| 321,797| 502,068| 220,670| 281,398| 78,611| 38,212| 40,399| 67,705| 32,451| 35,254

| | | | | | | | | | | |

V01-X59,Y85-Y86 ....| 135,998| 81,862| 54,136| 116,115| 68,833| 47,282| 19,883| 13,029| 6,854| 16,348| 10,783| 5,565

| | | | | | | | | | | |

V01-V99,Y85 ......| 47,825| 32,622| 15,203| 39,959| 27,220| 12,739| 7,866| 5,402| 2,464| 6,029| 4,260| 1,769

| | | | | | | | | | | |

V02---V89.2.....| 43,506| 29,320| 14,186| 36,275| 24,415| 11,860| 7,231| 4,905| 2,326| 5,574| 3,901| 1,673

| | | | | | | | | | | |

V01---V89.9.....| 2,262| 1,654| 608| 1,886| 1,367| 519| 376| 287| 89| 262| 202| 60

| | | | | | | | | | | |

V90-V99,Y85.....| 2,059| 1,648| 411| 1,800| 1,438| 362| 259| 210| 49| 193| 157| 36

| | | | | | | | | | | |

W00-X59,Y86 ......| 88,480| 49,460| 39,020| 76,423| 41,807| 34,616| 12,057| 7,653| 4,404| 10,349| 6,548| 3,801

| | | | | | | | | | | |

W00-W19.........| 17,270| 8,780| 8,490| 15,848| 7,910| 7,938| 1,422| 870| 552| 1,084| 658| 426

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 9 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

W32-W34.........| 865| 742| 123| 681| 582| 99| 184| 160| 24| 165| 142| 23

| | | | | | | | | | | |

W65-W74.........| 3,694| 2,914| 780| 2,849| 2,221| 628| 845| 693| 152| 648| 539| 109

| | | | | | | | | | | |

X00-X09.........| 3,530| 2,135| 1,395| 2,527| 1,556| 971| 1,003| 579| 424| 923| 528| 395

| | | | | | | | | | | |

X40-X49.........| 14,596| 10,452| 4,144| 11,649| 8,373| 3,276| 2,947| 2,079| 868| 2,664| 1,900| 764

| | | | | | | | | | | |

W75-W99, | | | | | | | | | | | |

X10-X39, | | | | | | | | | | | |

X50-X59,Y86...| 49,077| 24,811| 24,266| 43,349| 21,491| 21,858| 5,728| 3,320| 2,408| 4,924| 2,821| 2,103

| | | | | | | | | | | |

X60-X84,Y87.0 ......| 29,491| 23,670| 5,821| 26,560| 21,297| 5,263| 2,931| 2,373| 558| 1,965| 1,660| 305

| | | | | | | | | | | |

X72-X74...........| 16,713| 14,580| 2,133| 15,247| 13,266| 1,981| 1,466| 1,314| 152| 1,126| 1,019| 107

| | | | | | | | | | | |

Y87.0..........| 12,823| 9,130| 3,693| 11,355| 8,068| 3,287| 1,468| 1,062| 406| 842| 644| 198

| | | | | | | | | | | |

X85-Y09,Y87.1 ......| 17,119| 12,956| 4,163| 8,799| 6,289| 2,510| 8,320| 6,667| 1,653| 7,700| 6,251| 1,449

| | | | | | | | | | | |

X93-X95...........| 10,900| 9,003| 1,897| 4,975| 3,868| 1,107| 5,925| 5,135| 790| 5,589| 4,892| 697

| | | | | | | | | | | |

Y87.1..........| 6,314| 4,026| 2,288| 3,874| 2,459| 1,415| 2,440| 1,567| 873| 2,151| 1,391| 760

| | | | | | | | | | | |

Y35,Y89.0...........| 412| 406| 6| 266| 261| 5| 146| 145| 1| 129| 128| 1

| | | | | | | | | | | |

Y10-Y34,Y87.2,Y89.9 | 4,191| 2,865| 1,326| 3,347| 2,246| 1,101| 844| 619| 225| 743| 553| 190

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 10 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

Y22-Y24...........| 330| 283| 47| 251| 216| 35| 79| 67| 12| 68| 58| 10

| | | | | | | | | | | |

Y87.2,Y89.9....| 3,863| 2,584| 1,279| 3,098| 2,032| 1,066| 765| 552| 213| 675| 495| 180

| | | | | | | | | | | |

Y36,Y89.1...........| 53| 52| 1| 51| 50| 1| 2| 2| -| 2| 2| -

| | | | | | | | | | | |

Y40-Y84,Y88.........| 34,002| 17,450| 16,552| 29,197| 15,101| 14,096| 4,805| 2,349| 2,456| 4,080| 1,964| 2,116

| | | | | | | | | | | |

S00-T98.............| 199,093| 127,740| 71,353| 164,737| 103,962| 60,775| 34,356| 23,778| 10,578| 28,789| 20,149| 8,640

| | | | | | | | | | | |

S02.................| 3,927| 2,800| 1,127| 3,363| 2,370| 993| 564| 430| 134| 419| 320| 99

| | | | | | | | | | | |

S12,S22,S32,T08.....| 7,040| 3,908| 3,132| 6,359| 3,440| 2,919| 681| 468| 213| 518| 370| 148

| | | | | | | | | | | |

S72.................| 15,838| 5,669| 10,169| 15,019| 5,339| 9,680| 819| 330| 489| 660| 263| 397

| | | | | | | | | | | |

T10,T12..........| 2,598| 919| 1,679| 2,379| 813| 1,566| 219| 106| 113| 180| 90| 90

| | | | | | | | | | | |

T02.................| 725| 419| 306| 631| 361| 270| 94| 58| 36| 75| 46| 29

| | | | | | | | | | | |

S93,T03..........| 541| 302| 239| 445| 239| 206| 96| 63| 33| 78| 50| 28

| | | | | | | | | | | |

S05.................| 87| 47| 40| 75| 40| 35| 12| 7| 5| 12| 7| 5

| | | | | | | | | | | |

S06.................| 16,397| 10,882| 5,515| 13,815| 9,022| 4,793| 2,582| 1,860| 722| 2,008| 1,456| 552

| | | | | | | | | | | |

_______________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 11 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 5

NUMBER OF RESIDENT DEATHS TABULATED BY

ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1999

(CAUSE CATEGORIES BASED ON 113 CAUSE LIST SUPPLEMENTED

BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS) - CONTINUED

____________________________________________________________________________________________________________________________________

|

| RACE

|

_______________________________________________________________________________________________________________

| | | |

CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK

_

| | | |

_____________________________ _____________________________ __________________________ ________________________

| | | | | | | | | | | |

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

| | | | | | | | | | | |

S26-S27,S36-S37.....| 6,881| 4,786| 2,095| 5,343| 3,602| 1,741| 1,538| 1,184| 354| 1,354| 1,062| 292

| | | | | | | | | | | |

S07---T05...........| 1,246| 980| 266| 1,052| 829| 223| 194| 151| 43| 153| 122| 31

| | | | | | | | | | | |

S00---T14...........| 88,340| 64,636| 23,704| 70,327| 50,814| 19,513| 18,013| 13,822| 4,191| 15,058| 11,818| 3,240

| | | | | | | | | | | |

T15-T19.............| 15,588| 7,919| 7,669| 13,350| 6,702| 6,648| 2,238| 1,217| 1,021| 1,959| 1,044| 915

| | | | | | | | | | | |

T20-T32.............| 3,089| 2,034| 1,055| 2,350| 1,577| 773| 739| 457| 282| 652| 399| 253

| | | | | | | | | | | |

T36-T50.............| 19,592| 13,025| 6,567| 16,130| 10,624| 5,506| 3,462| 2,401| 1,061| 3,137| 2,215| 922

| | | | | | | | | | | |

T51-T65.............| 7,893| 5,544| 2,349| 6,385| 4,577| 1,808| 1,508| 967| 541| 1,274| 813| 461

| | | | | | | | | | | |

T74.................| 197| 107| 90| 101| 55| 46| 96| 52| 44| 85| 44| 41

| | | | | | | | | | | |

T75-T78..........| 18,087| 13,389| 4,698| 14,415| 10,814| 3,601| 3,672| 2,575| 1,097| 2,777| 1,940| 837

| | | | | | | | | | | |

T79-T88.............| 23,248| 12,303| 10,945| 19,759| 10,547| 9,212| 3,489| 1,756| 1,733| 2,991| 1,474| 1,517

| | | | | | | | | | | |

T90-T98.............| 4,105| 2,463| 1,642| 3,460| 2,011| 1,449| 645| 452| 193| 549| 390| 159

| | | | | | | | | | | |

____________________________________________________________________________________________________________________________________

1/ INCLUDES BLACK

_

- QUANTITY = 0

07/05/01 - 1 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 6

NUMBER OF DEATHS TABULATED BY

STATE OF OCCURRENCE AND MONTH: UNITED STATES, 1999

(DEATHS BY STATE OF OCCURRENCE INCLUDE FOREIGN RESIDENTS)

_____________________________________________________________________________________________________________________________

| |

| | MONTH OF DEATH

STATE OF OCCURRENCE| TOTAL |

_______________________________________________________________________________________________

| | | | | | | | | | | | |

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

UNITED STATES......|2,394,871|227,924|208,458|227,107|196,859|192,247|180,434|187,121|182,805|180,551|195,919|192,344|223,102

| | | | | | | | | | | | |

ALABAMA............| 44,165| 4,088| 3,579| 4,358| 3,746| 3,594| 3,336| 3,415| 3,439| 3,412| 3,468| 3,553| 4,177

ALASKA.............| 2,660| 214| 210| 211| 215| 208| 219| 219| 245| 240| 235| 209| 235

ARIZONA............| 41,051| 4,072| 3,992| 3,970| 3,333| 3,227| 3,014| 2,990| 2,913| 2,929| 3,191| 3,318| 4,102

ARKANSAS...........| 27,288| 2,663| 2,205| 2,696| 2,295| 2,265| 2,023| 2,121| 2,052| 2,025| 2,254| 2,142| 2,547

CALIFORNIA.........| 230,061| 21,704| 19,898| 20,751| 19,250| 18,564| 17,681| 17,712| 17,359| 16,911| 18,154| 18,286| 23,791

| | | | | | | | | | | | |

COLORADO...........| 27,573| 2,417| 2,479| 2,560| 2,278| 2,141| 2,065| 2,204| 2,149| 2,128| 2,251| 2,291| 2,610

CONNECTICUT........| 29,557| 3,006| 2,691| 2,705| 2,417| 2,405| 2,196| 2,282| 2,262| 2,139| 2,380| 2,406| 2,668

DELAWARE...........| 6,601| 626| 582| 633| 564| 526| 485| 521| 529| 500| 524| 540| 571

COLUMBIA.........| 7,353| 707| 662| 673| 580| 572| 586| 602| 558| 565| 604| 627| 617

FLORIDA............| 164,232| 15,604| 14,188| 15,973| 13,820| 13,131| 12,377| 12,848| 12,803| 12,142| 13,379| 13,108| 14,859

| | | | | | | | | | | | |

GEORGIA............| 62,609| 5,991| 5,198| 6,034| 5,351| 5,058| 4,657| 4,847| 4,845| 4,755| 5,032| 5,070| 5,771

HAWAII.............| 8,442| 802| 739| 725| 675| 684| 658| 661| 699| 633| 682| 684| 800

IDAHO..............| 9,338| 772| 812| 819| 793| 787| 690| 781| 687| 757| 780| 780| 880

ILLINOIS...........| 105,426| 10,280| 9,227| 10,127| 8,571| 8,213| 7,967| 8,229| 7,971| 7,901| 8,611| 8,441| 9,888

INDIANA............| 55,872| 5,352| 4,879| 5,683| 4,480| 4,466| 4,120| 4,364| 4,313| 4,206| 4,543| 4,404| 5,062

| | | | | | | | | | | | |

IOWA...............| 28,114| 2,620| 2,400| 2,779| 2,246| 2,262| 2,084| 2,169| 2,048| 2,165| 2,362| 2,280| 2,699

KANSAS.............| 23,779| 2,136| 2,032| 2,297| 1,979| 1,847| 1,735| 1,902| 1,839| 1,791| 2,042| 1,911| 2,268

KENTUCKY...........| 38,885| 3,609| 3,295| 4,046| 3,325| 3,061| 2,853| 3,002| 2,876| 3,013| 3,117| 3,124| 3,564

LOUISIANA..........| 41,522| 3,833| 3,432| 3,875| 3,293| 3,377| 3,195| 3,293| 3,322| 3,138| 3,352| 3,313| 4,099

MAINE..............| 12,207| 1,126| 1,132| 1,132| 970| 933| 936| 975| 951| 951| 1,099| 972| 1,030

| | | | | | | | | | | | |

_________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 2 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 6

NUMBER OF DEATHS TABULATED BY

STATE OF OCCURRENCE AND MONTH: UNITED STATES, 1999

(DEATHS BY STATE OF OCCURRENCE INCLUDE FOREIGN RESIDENTS) - CONTINUED

_____________________________________________________________________________________________________________________________

| |

| | MONTH OF DEATH

STATE OF OCCURRENCE| TOTAL |

_______________________________________________________________________________________________

| | | | | | | | | | | | |

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

MARYLAND...........| 42,853| 3,875| 3,967| 4,129| 3,446| 3,455| 3,135| 3,397| 3,190| 3,396| 3,483| 3,489| 3,891

MASSACHUSETTS......| 56,595| 5,483| 5,311| 5,295| 4,457| 4,431| 4,311| 4,551| 4,237| 4,175| 4,773| 4,583| 4,988

MICHIGAN...........| 86,068| 7,967| 7,222| 8,371| 6,877| 6,995| 6,599| 6,771| 6,615| 6,648| 7,199| 6,907| 7,897

MINNESOTA..........| 38,708| 3,621| 3,305| 3,677| 2,970| 3,111| 2,819| 3,009| 2,973| 3,023| 3,289| 3,163| 3,748

MISSISSIPPI........| 27,444| 2,416| 2,315| 2,701| 2,131| 2,263| 2,021| 2,254| 2,243| 2,076| 2,219| 2,109| 2,696

| | | | | | | | | | | | |

MISSOURI...........| 57,620| 5,194| 4,871| 5,592| 4,821| 4,659| 4,306| 4,552| 4,266| 4,375| 4,743| 4,749| 5,492

MONTANA............| 8,108| 695| 711| 735| 654| 622| 584| 671| 638| 642| 701| 645| 810

NEBRASKA...........| 15,732| 1,454| 1,436| 1,431| 1,294| 1,308| 1,161| 1,194| 1,171| 1,190| 1,315| 1,290| 1,488

NEVADA.............| 15,715| 1,538| 1,278| 1,385| 1,307| 1,297| 1,277| 1,214| 1,145| 1,181| 1,277| 1,322| 1,494

NEW HAMPSHIRE......| 9,460| 909| 838| 915| 762| 774| 678| 762| 754| 681| 842| 704| 841

| | | | | | | | | | | | |

NEW JERSEY.........| 72,461| 7,733| 6,377| 6,468| 5,900| 5,860| 5,330| 5,649| 5,527| 5,349| 5,916| 5,759| 6,593

NEW MEXICO.........| 13,594| 1,258| 1,228| 1,212| 1,084| 1,040| 1,066| 1,050| 1,043| 1,030| 1,080| 1,156| 1,347

NEW YORK...........| 158,887| 16,599| 14,056| 14,105| 12,568| 12,525| 12,036| 12,835| 12,076| 11,975| 13,093| 12,648| 14,371

NORTH CAROLINA.....| 70,189| 6,378| 6,067| 6,970| 5,754| 5,574| 5,179| 5,380| 5,433| 5,427| 5,731| 5,829| 6,467

NORTH DAKOTA.......| 6,491| 600| 567| 552| 552| 487| 513| 498| 500| 516| 545| 528| 633

| | | | | | | | | | | | |

OHIO...............| 108,235| 10,262| 9,413| 10,724| 9,223| 8,729| 8,077| 8,472| 8,117| 8,149| 8,821| 8,673| 9,575

OKLAHOMA...........| 33,719| 3,187| 2,923| 3,241| 2,730| 2,688| 2,580| 2,575| 2,521| 2,533| 2,827| 2,740| 3,174

OREGON.............| 29,423| 2,621| 2,652| 2,735| 2,534| 2,435| 2,279| 2,269| 2,255| 2,285| 2,388| 2,397| 2,573

PENNSYLVANIA.......| 131,155| 13,001| 11,758| 12,603| 10,878| 10,437| 9,721| 10,000| 9,883| 9,893| 10,801| 10,511| 11,669

RHODE ISLAND.......| 9,853| 992| 893| 880| 759| 730| 764| 841| 795| 743| 772| 731| 953

| | | | | | | | | | | | |

SOUTH CAROLINA.....| 35,250| 3,347| 2,983| 3,331| 3,052| 2,881| 2,669| 2,709| 2,617| 2,694| 2,868| 2,770| 3,329

SOUTH DAKOTA.......| 7,136| 659| 572| 676| 582| 547| 558| 558| 530| 546| 601| 599| 708

TENNESSEE..........| 57,021| 5,221| 4,646| 5,638| 4,852| 4,696| 4,429| 4,506| 4,432| 4,308| 4,609| 4,539| 5,145

TEXAS..............| 148,901| 13,996| 13,090| 13,881| 12,115| 12,076| 11,294| 11,518| 11,758| 11,037| 12,161| 11,930| 14,045

UTAH...............| 12,423| 1,130| 1,067| 1,095| 1,027| 1,020| 946| 990| 991| 956| 1,070| 977| 1,154

| | | | | | | | | | | | |

_________________________________________________________________________________________________________

SEE FOOTNOTES AT END OF TABLE.

- 3 -

MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE

CONTROL TOTAL TABLE 6

NUMBER OF DEATHS TABULATED BY

STATE OF OCCURRENCE AND MONTH: UNITED STATES, 1999

(DEATHS BY STATE OF OCCURRENCE INCLUDE FOREIGN RESIDENTS) - CONTINUED

_____________________________________________________________________________________________________________________________

| |

| | MONTH OF DEATH

STATE OF OCCURRENCE| TOTAL |

_______________________________________________________________________________________________

| | | | | | | | | | | | |

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________________________

| | | | | | | | | | | | |

VERMONT............| 4,909| 456| 440| 444| 409| 394| 346| 381| 380| 401| 427| 396| 435

VIRGINIA...........| 54,845| 5,097| 4,824| 5,343| 4,505| 4,463| 4,123| 4,285| 4,082| 4,207| 4,602| 4,500| 4,814

WASHINGTON.........| 43,980| 3,919| 3,891| 3,982| 3,711| 3,658| 3,472| 3,475| 3,351| 3,345| 3,701| 3,528| 3,947

WEST VIRGINIA......| 21,068| 1,921| 1,858| 2,120| 1,790| 1,719| 1,606| 1,715| 1,560| 1,533| 1,715| 1,707| 1,824

WISCONSIN..........| 46,405| 4,422| 3,974| 4,512| 3,670| 3,730| 3,398| 3,550| 3,531| 3,598| 3,952| 3,680| 4,388

| | | | | | | | | | | | |

WYOMING............| 3,888| 351| 293| 317| 264| 322| 280| 353| 331| 338| 338| 326| 375

| | | | | | | | | | | | |

_____________________________________________________________________________________________________________________________

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 1

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

001 1 I. Certain infectious and parasitic diseases (A00-B99)

002 1 Intestinal infectious diseases (A00-A09)

003 Cholera (A00)

004 1 Other intestinal infectious diseases (A01-A08)

005 Typhoid fever (A01.0)

006 Paratyphoid fevers and other salmonella infections (A01.1-A01.4,A02)

007 Shigellosis (A03)

008 Other bacterial food-borne intoxications (A05)

009 Amebiasis (A06)

010 Intestinal infections due to other specified organisms (A04,A07-A08)

011 Diarrhea and gastroenteritis of infectious origin (A09)

012 1 Tuberculosis (A16-A19)

013 Respiratory tuberculosis (A16)

014 Other tuberculosis (A17-A19)

015 1 Zoonotic and other bacterial diseases (A20-A49)

016 Plague (A20)

017 Brucellosis (A23)

018 Tetanus (A33-A35)

019 Diptheria (A36)

020 Whooping cough (A37)

021 Scarlet fever and erysipelas (A38,A46)

022 Meningococcal infection (A39)

023 3 Septicemia (A40-A41)

024 Other zoonotic and bacterial diseases (A21-A22,A24-A32,A42-A44,

A48-A49)

025 1 Infections with a predominately sexual mode of transmission (A50-A64)

026 1 Syphilis (A50-A53)

027 Cardiovascular syphilis (A52.0)

028 Neurosyphilis (A52.1-A52.3)

029 Other and unspecified syphilis (A50-A51,A52.7-A52.9,A53)

030 Gonococcal infection (A54)

031 Other infections with a predominately sexual mode of transmission

(A55-A64)

032 1 Other infections caused by spirochetes, chlamydia or rickettsia

(A65-A79)

033 Lyme disease (A69.2)

034 Typhus fever (A75)

035 All other infections caused by spirochetes, chlamydia or rickettsia

(A65-A68,A69.0-A69.1,A69.8-A69.9,A70-A74,A77-A79)

036 1 Viral diseases (A80-B34)

037 Acute poliomyelitis (A80)

038 Rabies (A82)

039 Arthropod-borne viral encephalitis (A83-A84,A85.2)

040 Yellow fever (A95)

041 Other and unspecified arthropod-borne viral and hemorrhagic fevers

(A90-A94,A96-A99)

042 Herpesviral (herpes simplex) infections (B00)

043 Zoster (herpes zoster) (B02)

044 Smallpox (B03)

045 Measles (B05)

046 Rubella (German measles) (B06)

047 Viral hepatitis (B15-B19)

048 1 Human immunodeficiency virus (HIV) disease (B20-B24)

049 Human immunodeficiency virus (HIV) disease resulting in infectious

and parasitic diseases (B20)

050 Human immunodeficiency virus (HIV) disease resulting in malignant

neoplasms (B21)

051 Human immunodeficiency virus (HIV) disease resulting in other

specified diseases (B22)

052 Human immunodeficiency virus (HIV) disease resulting in other

conditions (B23)

053 Unspecified human immunodeficiency virus (HIV) disease (B24)

054 All other and unspecified viral diseases (A81,A85.0-A85.1,A85.8,A86-

A89,B01,B04,B07-B09,B25-B34)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 2

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

055 1 Other and unspecified infectious and parasitic diseases and their

sequelae (B35-B99)

056 Mycoses (B35-B49)

057 1 Protozoal diseases (B50-B64)

058 Malaria (B50-B54)

059 Leishmaniasis (B55)

060 Trypanosomiasis (B56-B57)

061 Pneumocystosis (B59)

062 Other and unspecified protozoal diseases (B58,B60-B64)

063 1 Helminthiases (B65-B83)

064 Schistosomiasis (bilharziasis) (B65)

065 Other and unspecified helminthiases (B66-B83)

066 6 Sequelae of tuberculosis (B90)

067 6 Sequelae of poliomyelitis (B91)

068 All other and unspecified infectious and parasitic diseases and

their sequelae (B85-B89,B92-B99)

069 1 II. Neoplasms (C00-D48)

070 1 Malignant neoplasms (C00-C97)

071 1 Malignant neoplasms of lip, oral cavity and pharynx (C00-C14)

072 Of lip (C00)

073 Of tongue (C01-C02)

074 Of pharynx (C10-C13,C14.0)

075 Of other and unspecified sites within the lip, oral cavity and

pharynx (C03-C09,C14.2-C14.8)

076 1 Malignant neoplasms of digestive organs (C15-C26)

077 Of esophagus (C15)

078 Of stomach (C16)

079 Of small intestine (C17)

080 Of colon, rectum and anus (C18-C21)

081 Colon (C18)

082 Rectosigmoid junction and rectum (C19-C20)

083 Anus and anus canal (C21)

084 1 Of liver and intrahepatic bile ducts (C22)

085 Liver (C22.0,C22.2-C22.9)

086 Intrahepatic bile duct carcinoma (C22.1)

087 Of gallbladder and extrahepatic bile ducts (C23-C24)

088 Of pancreas (C25)

089 Of other and ill-defined digestive organs (C26)

090 1 Malignant neoplasms of respiratory and intrathoracic organs (C30-C39)

091 Of nasal cavity, middle ear and accessory sinuses (C30-C31)

092 Of larynx (C32)

093 Of trachea, bronchus and lung (C33-C34)

094 Of thymus, heart, mediastinum and pleura (C37-C38)

095 Of other and ill-defined sites in respiratory system and

intrathoracic organs (C39)

096 Malignant neoplasms of bone and articular cartilage (C40-C41)

097 1 Melanoma and other malignant neoplasms of skin (C43-C44)

098 Malignant melanoma of skin (C43)

099 Other malignant neoplasms of skin (C44)

100 1 Malignant neoplasms of mesothelial and soft tissue (C45-C49)

101 Mesothelioma (C45)

102 Kaposi=s sarcoma (C46)

103 Of other mesothelial and soft tissue (C47-C49)

104 Malignant neoplasm of breast (C50)

105 1 2 Malignant neoplasms of female genital organs (C51-C58)

106 2 Of vulva and vagina (C51-C52)

107 2 Of cervix uteri (C53)

108 2 Of corpus uteri and uterus, part unspecified (C54-C55)

109 2 Of ovary (C56)

110 2 Of other and unspecified female genital organs (C57)

111 2 2 Of placenta (C58)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 3

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

112 1 1 Malignant neoplasms of male genital organs (C60-C63)

113 1 Of prostate (C61)

114 1 Of testis (C62)

115 1 Of penis and other and unspecified male genital organs (C60,C63)

116 1 Malignant neoplasms of urinary tract (C64-C68)

117 Of kidney and renal pelvis (C64-C65)

118 Of bladder (C67)

119 Of other and unspecified sites within the urinary tract (C66,C68)

120 Malignant neoplasm of eye and adnexa (C69)

121 1 Malignant neoplasms of meninges, brain and other parts of central

nervous system (C70-C72)

122 Of brain (C71)

123 Of other parts of central nervous system (C70,C72)

124 Malignant neoplasms of thyroid and other endocrine glands (C73-C75)

125 Other malignant neoplasms of other and unspecified sites

(C76-C80,C97)

126 1 Malignant neoplasms of lymphoid, hematopoietic and related tissue

(C81-C96)

127 Hodgkin’s disease (C81)

128 1 Of other lymphoid, hematopoietic and related tissue (C82-C85,C96)

129 Non-Hodgkin’s lymphoma (C82-C85)

130 Of other and unspecified lymphoid, hematopoietic and related

tissue (C96)

131 Malignant immunoproliferative diseases (C88)

132 Multiple myeloma and malignant plasma cell neoplasms (C90)

133 1 Leukemia (C91-C95)

134 Lymphoid leukemia (C91)

135 Myeloid leukemia (C92)

136 Monocytic leukemia (C93)

137 Other and unspecified leukemia (C94-C95)

138 1 In situ neoplasms (D00-D09)

139 Carcinoma in situ of breast and genitourinary system (D05-D07)

140 Carcinoma in situ of other and unspecified sites (D00-D04,D09)

141 1 Benign neoplasms (D10-D36)

142 2 Of female genital organs (D25-D28)

143 Of eye, brain and other parts of central nervous system (D31-D33)

144 Of other and unspecified sites (D10-D24,D29-D30,D34-D36)

145 Neoplasms of uncertain or unknown behavior of specified sites (D37-D47)

146 Neoplasms of uncertain or unknown behavior of unspecified sites (D48)

147 1 III. Diseases of the blood and blood-forming organs and

certain disorders involving the immune mechanism (D50-D89)

148 1 Anemias (D50-D64)

149 Nutritional anemias (D50-D53)

150 Hemolytic anemias (D55-D59)

151 Aplastic anemias (D60-D61)

152 Acute posthemorrhagic and other anemias (D62,D64)

153 Coagulation defects, purpura and other hemorrhagic conditions (D65-D69)

154 Other diseases of blood and blood-forming organs (D70-D76)

155 Certain disorders involving the immune mechanism (D80-D89)

156 1 IV. Endocrine, nutritional and metabolic diseases (E00-E88)

157 1 Endocrine diseases (E00-E34)

158 Disorders of thyroid gland (E00-E07)

159 3 Diabetes mellitus (E10-E14)

160 Disorders of pituitary gland (E22-E23)

161 Disorders of adrenal glands (E24-E27)

162 Diseases of thymus (E32)

163 Other endocrine diseases (E15-E21,E28-E31,E34)

164 1 Nutritional diseases (E40-E68)

165 1 Malnutrition (E40-E46)

166 Nutritional marasmus (E41)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 4

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

167 Other and unspecified malnutrition (E40,E42-E46)

168 Other nutritional deficiences (E50-E64)

169 Obesity and other hyperalimentation (E65-E68)

170 1 3 Metabolic disorders (E70-E88)

171 Cystic fibrosis (E84)

172 Volume depletion, disorders of fluid, electrolyte and acid-base

balance (E86-E87)

173 Other metabolic disorders (E70-E83,E85,E88)

174 1 V. Mental and behavioral disorders (F01-F99)

175 Organic dementia (F01,F03)

176 Other and unspecified organic mental disorders (F04-F09)

177 1 3 Mental and behavioral disorders due to psychoactive substance use

(F10-F19)

178 3 Mental and behavioral disorders due to use of alcohol (F10)

179 3 Mental and behavioral disorders due to other psychoactive substance use

(F11-F19)

180 Schizophrenia, schizotypal and delusional disorders (F20-F29)

181 Mood (affective) disorders (F30-F39)

182 Neurotic, stress-related and somatoform disorders (F40-F48)

183 Mental retardation (F70-F79)

184 Other and unspecified mental and behavioral disorders (F50-F69,F80-F99)

185 1 VI. Diseases of the nervous system (G00-G98)

186 Meningitis (G00,G03)

187 Other inflammatory diseases of central nervous system (G04-G09)

188 Parkinson’s disease (G20-G21)

189 Alzheimer’s disease (G30)

190 Multiple sclerosis (G35)

191 Epilepsy (G40-G41)

192 Transient cerebral ischemic attacks and related syndromes (G45)

193 Infantile cerebral palsy (G80)

194 All other diseases of nervous system

(G10-G12,G23-G25,G31,G36-G37,G43-G44,G47-G72,G81-G98)

195 VII. Diseases of the eye and adnexa (H00-H57)

196 VIII. Diseases of the ear and mastoid process (H60-H93)

197 1 IX. Diseases of the circulatory system (I00-I99)

198 1 Acute rheumatic fever and chronic rheumatic heart diseases (I00-I09)

199 Acute rheumatic fever (I00-I02)

200 1 Chronic rheumatic heart diseases (I05-I09)

201 Rheumatic mitral valve diseases (I05)

202 Rheumatic aortic valve diseases (I06)

203 Disorders of both mitral and aortic valves (I08.0)

204 Other chronic rheumatic heart diseases (I07,I08.1-I08.9,I09)

205 1 Hypertensive diseases (I10-I13)

206 Essential (primary) hypertension (I10)

207 Hypertensive heart disease (I11)

208 Hypertensive renal disease (I12)

209 Hypertensive heart and renal disease (I13)

210 1 Ischemic heart diseases (I20-I25)

211 Acute myocardial infarction (I21-I22)

212 Other acute ischemic heart diseases (I24)

213 Other forms of chronic ischemic heart diseases (I20,I25)

214 Atherosclerotic cardiovascular disease, so described (I25.0)

215 All other forms of chronic ischemic heart disease (I20,I25.1-I25.9)

216 1 Other heart diseases (I26-I51)

217 1 Pulmonary heart disease and diseases of pulmonary circulation

(I26-I28)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 5

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

218 Pulmonary embolism (I26)

219 Other pulmonary heart disease and diseases of pulmonary circulation

(I27-I28)

220 1 Other non-pulmonary forms of heart disease (I30-I51)

221 Acute and subacute endocarditis (I33)

222 Diseases of pericardium and acute myocarditis (I30-I31,I40)

223 1 Other diseases of endocardium (I34-I38)

224 Nonrheumatic mitral valve disorders (I34)

225 Nonrheumatic aortic valve disorders (I35)

226 All other diseases of endocardium (I36-I38)

227 Cardiomyopathy (I42)

228 Conduction disorders and cardiac dysrhythmias (I44-I49)

229 1 Heart failure (I50)

230 Congestive heart failure (I50.0)

231 Other and unspecified heart failure (I50.1-I50.9)

232 Myocarditis, unspecified and myocardial degeneration (I51.4-I51.5)

233 All other and ill-defined forms of heart disease (I50.0-I51.3,

I51.6-I51.9)

234 1 Cerebrovascular diseases (I60-I69)

235 Subarachnoid hemorrhage (I60)

236 3 Intracerebral and other intracranial hemorrhage (I61-I62)

237 Cerebral infarction (I63)

238 Stroke, not specified as hemorrhage or infarction (I64)

239 Other cerebrovascular diseases and their sequelae (I67,I69)

240 1 Diseases of arteries, arterioles and capillaries (I70-I78)

241 Atherosclerosis (I70)

242 Aortic aneurysm and dissection (I71)

243 Other diseases of arteries, arterioles and capillaries (I70-I78)

244 1 Other disorders of circulatory system (I80-I99)

245 Phlebitis, thrombophlebitis, venous embolism and thrombosis (I80-I82) 246

All other and unspecified disorders of circulatory system (I83-I99)

247 1 X. Diseases of the respiratory system (J00-J98)

248 1 Acute upper respiratory infections (J00-J06)

249 Acute pharyngitis and tonsillitis (J02-J03)

250 Acute laryngitis and tracheitis ((J04)

251 Other and unspecified acute upper respiratory infections (J00-J01,

J05-J06)

252 1 Other diseases of the respiratory system (J10-J98)

253 Influenza (J10-J11)

254 1 Pneumonia(J12-J18)

255 Viral pneumonia, not elsewhere classified (J12)

256 Bacterial pneumonia (J13-J15)

257 Pneumonia due to other or unspecified organisms (J16,J18)

258 1 Other acute lower respiratory infections (J20-J22)

259 Acute bronchitis and bronchiolitis(J20-J21)

260 Unspecified acute lower respiratory infection (J22)

261 Other diseases of upper respiratory tract (J30-J39)

262 1 Chronic lower respiratory diseases (J40-J47)

263 1 Bronchitis, chronic and unspecified, emphysema and asthma (J40-J46)

264 Bronchitis, not specified as acute or chronic (J40)

265 Chronic bronchitis (J41-J42)

266 3 Emphysema (J43)

267 Other chronic obstructive pulmonary disease (J44)

268 Asthma (J45-J46)

269 Bronchiectasis (J47)

270 1 Lung diseases due to external agents (J60-J70)

271 Pneumoconioses and chemical effects (J60-J66,J68)

272 1 Pneumonitis due to solids and liquids (J69)

273 Pneumonitis due to food and vomit (J69.0)

274 Other pneumonitis due to solids and liquids (J69.1-J69.8)

275 Other lung diseases due to external agents (J67,J70)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 6

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

276 Suppurative and necrotic conditions of lower respiratory tract

(J85-J86)

277 Pleural effusion and plaque (J90, J92)

278 All other diseases of respiratory system (J80-J84,J93-J98)

279 1 XI. Diseases of the digestive system (K00-K92)

280 Diseases of oral cavity, salivary glands and jaws (K00-K14)

281 1 Diseases of other parts of digestive system (K20-K92)

282 Diseases of esophagus (K20-K22)

283 1 Peptic ulcer (K25-K28)

284 Gastric ulcer(K25)

285 Duodenal ulcer(K26)

286 3 Peptic ulcer, site unspecified (K27)

287 Gastrojejunal ulcer (K28)

288 Gastritis and duodenitis (K29)

289 Dyspepsia and other diseases of stomach and duodenum (K30-K31)

290 Diseases of appendix (K35-K38)

291 Hernia (K40-K46)

292 Crohn’s disease and ulcerative colitis (K50-K51)

293 Vascular disorders and obstruction of intestine without hernia

(K55-K56)

294 Diverticular disease of intestine (K57)

295 Other diseases of intestines and peritoneum (K52,K58-K63)

296 Diseases of peritoneum (K65-K66)

297 1 Diseases of liver (K70-K76)

298 Alcoholic liver disease (K70)

299 Chronic hepatitis, not elsewhere classified (K73)

300 Fibrosis and cirrhosis of liver (K74)

301 Other diseases of liver (K71-K72,K75-K76)

302 Cholelithiasis and other disorders of gallbladder (K80-K82)

303 1 Disorders of biliary tract and pancreas (K83-K86)

304 Pancreatitis (K85,K86.0-K86.1)

305 Other disorders of biliary tract and pancreas (K83,K86.2-K86.9)

306 All other diseases of digestive system (K90-K92)

307 1 XII. Diseases of the skin and subcutaneous tissue (L00-L98)

308 Infections of skin and subcutaneous tissue (L00-L08)

309 Other and unspecified diseases of skin and sub-cutaneous tissue

(L10-L98)

310 1 XIII. Diseases of the musculoskeletal system and connective

tissue (M00-M99)

311 Rheumatoid arthritis and related inflammatory polyarthropathies

(M05-M08)

312 Systemic lupus erythematosus (M32)

313 Other arthropathies and related disorders (M00,M02,M10-M31,M33-M35)

314 Dorsopathies (M40-M54)

315 Soft tissue disorders (M60-M79)

316 1 Osteopathies, chondropathies and other disorders of musculoskeletal

system and connective tissue (M80-M99)

317 Osteoporosis (M80-M81)

318 Other osteopathies, chondropathies and disorders of musculoskeletal

system and connective tissue (M83-M99)

319 1 XIV. Diseases of the genitourinary system (N00-N98)

320 1 Diseases of urinary system (N00-N39)

321 1 Glomerular and renal tubulo-interstitial diseases (N00-N15)

322 1 Glomerular diseases (N00-N07)

323 Acute and rapidly progressive nephritic syndrome (N00-N01)

324 Nephrotic syndrome (N04)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 7

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

325 Other and unspecified glomerular diseases (N02-N03,N05-N07)

326 Renal tubulo-interstitial diseases (N10-N15)

327 Renal failure (N17-N19)

328 Urolithiasis (N20-N23)

329 Other and unspecified disorders of kidney (N25-N27)

330 Urinary tract infection, site not specified (N39.0)

331 Other diseases of urinary system (N28-N36,N39.1-N39.9)

332 1 1 Diseases of male genital organs (N40-N50)

333 1 Hyperplasia of prostate (N40)

334 1 Other diseases of male genital organs (N41-N50)

335 Disorders of breast (N60-N64)

336 1 2 Disorders of female genital organs (N70-N98)

337 2 Inflammatory diseases of female pelvic organs (N70-N76)

338 2 Noninflammatory disorders of female genital tract (N80-N98)

339 1 2 2 XV. Pregnancy, childbirth and the puerperium (O00-O99)

340 1 2 2 Pregnancy with abortive outcome (O00-O07)

341 2 2 Ectopic pregnancy (O00)

342 2 2 Spontaneous abortion (O03)

343 2 2 Medical abortion (O04)

344 2 2 Other abortion (O05)

345 2 2 Other and unspecified pregnancy with abortive outcome (O01-O02,

O06-O07)

346 1 2 2 Other direct obstetric deaths (O10-O92)

347 2 2 Eclampsia and pre-eclampsia (O11,O13-O16)

348 2 2 Hemorrhage of pregnancy and childbirth and placenta previa

(O20,O44-O46,O67,072)

349 1 2 2 Complications predominately related to the puerperium (O85-O92)

350 2 2 Obstetric embolism (O88)

351 2 2 Other complications predominately related to the puerperium

(O85-O87,O89-O92)

352 2 2 All other direct obstetric causes (O10,O12,O21-O43,O47-O66,O68-O71,

O73-O75)

353 2 2 Obstetric death of unspecified cause (O95)

354 2 2 Other deaths related to pregnancy, childbirth and the puerperium

(O96-O97)

355 2 2 Indirect obstetric deaths (O98-O99)

356 1 XVI. Certain conditions originating in the perinatal period

(P00-P96)

357 Newborn affected by maternal factors and by complications of pregnancy,

labor and delivery (P00-P04)

358 Disorders related to short gestation and low birth weight, not elsewhere

classified (P07)

359 Birth trauma (P10-P15)

360 Intrauterine hypoxia and birth asphyxia (P20-P21)

361 Respiratory distress of newborn (P22)

362 Other respiratory conditions originating in the perinatal period

(P23-P28)

363 Infections specific to the perinatal period (P35-P39)

364 Other and unspecified conditions originating in the perinatal period

(P05,P08,P29,P50-P96)

365 1 XVII. Congenital malformations, deformations and chromosomal

abnormalities (Q00-Q99)

366 Anencephaly and similar malformations (Q00)

367 Spina bifida (Q05)

368 All other congenital malformations of nervous system (Q01-Q04,Q06-Q07)

369 Congenital malformations of heart (Q20-Q24)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 8

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

370 Other congenital malformations of circulatory system (Q25-Q28)

371 Congenital malformations of respiratory system (Q30-Q34)

372 Other congenital malformations and deformations (Q10-Q18,Q35-Q89)

373 Down’s syndrome (Q90)

374 All other chromosomal abnormalities, not elsewhere classified (Q91-Q99)

375 1 XVIII. Symptoms, signs and abnormal clinical and laboratory

findings, not elsewhere classified (R00-R99)

376 Senility (R54)

377 1 Ill-defined and unknown causes of mortality (R95-R99)

378 4 Sudden infant death syndrome (R95)

379 Other ill-defined and unknown causes of mortality (R96-R99)

380 All other symptoms, signs and abnormal clinical and laboratory findings,

not elsewhere classified (R00-R53,R55-R94)

381 1 XX. External causes of mortality (*U01-*U03,V01-Y89)

382 1 Accidents (unintentional injuries) (V01-X59,Y85-Y86)

383 1 Transport accidents (V01-V99, Y85)

384 Railway accidents (V05,V15,V80.6,V81.2-V81.9,V80.3-V80.5,

V81.0-V81.1,V82.0-V82.1,V83-V86,V87.0-V87.8,V88.0-V88.8,V89.0,

V89.2)

385 1 Motor vehicle accidents (V02-V04,V09.0,V09.2,V12-V14,V19.0-V19.2,

V19.4-V19.6,V20-V79,V80.3-V80.5,V81.0-V81.1,V82.0-V82.1,V83-V86,

V87.0-V87.8,V88.0-V88.8,V89.0,V89.2)

386 Pedestrian involved in collision with motor vehicle (V02-V04)

387 Pedalcyclist involved in collision with motor vehicle

(V12-V14,V19.0,V19.2-V19.4-V19.6)

388 Motorcyclist involved in any accident except collision with

railway train (V20-V24,V26-V34,V36-V39)

389 1 Motor vehicle accident involving collision with railway train

(V25,V35,V45,V55,V65,V75,V81.0-V81.1,V87.6,V88.6)

390 Motorcyclist involved in collision with railway train (V25,V35)

391 Other motor vehicle accident involving collision with railway

train (V45,V55,V65,V75,V81.0-V81.1,V87.6,V88.6)

392 Occupant of motor vehicle involved in collision with other (non-

motorized) road vehicle, streetcar, animal or pedestrian

(V40-V41,V46-V47,V50-V51,V56-V57,V60-V61,V66-V67,V70-V71,

V76-V77)

393 Occupant of car, pickup truck or van involved in collision with

other motor vehicle (V42-V44,V49,V52-V54,V59)

394 Occupant of heavy transport vehicle or bus involved in collision

with other motor vehicle (V62-V64,V69,V72-V74,V79)

395 Occupant of motor vehicle involved in non-collision accident

(V48,V58,V68,V78)

396 Occupant of special-use motor vehicle involved in any accident

(V83-V86)

397 Other and unspecified motor vehicle accidents

(V09.0,V09.2,V80.3-V80.5,V82.0-V82.1,V87.0-V87.5,V87.7-V87.8,

V88.0-V88.5,V88.7-V88.8,V89.0,V89.2)

398 Streetcar accidents (V82.2-V82.9)

399 Other and unspecified land transport accidents

(V01,V06,V09.1,V09.3,V09.9,V10-V11,V16-V18,V19.3,V19.8-V19.9,

V80.0-V80.2,V80.7-V80.9,V87.9,V88.9,V89.1,V89.3,V89.9)

400 Water transport accidents (V90-V94)

401 Air and space transport accidents (V95-V97)

402 Other and unspecified transport accidents and their sequelae

(V98-V99,Y85)

403 1 Falls (W00-W19)

404 Fall on same level (W00-W09,W18)

405 Fall from one level to another (W10-W17)

406 Unspecified fall (W19)

407 Accidental discharge of firearms (W32-W34)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 9

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

408 Accidental explosion (W39-W40)

409 Accidental drowning and submersion (W65-W74)

410 Accidental inhalation and ingestion of food or other objects causing

obstruction of respiratory tract (W78-W80)

411 Other accidental and unspecified threats to breathing

(W75-W77,W81-W84)

412 Accidental exposure to electrical current (W85-W87)

413 Accidental exposure to radiation (W88-W91)

414 Accidental exposure to smoke, fire and flames (X00-X09)

415 Accidental contact with heat and hot substances (X10-X19)

416 Lightning (X33)

417 Earthquake, volcanic eruption, avalanche, landslide and other earth

movements (X34-X36)

418 Cataclysmic storm and flood (X37-X38)

419 1 Accidental poisoning and exposure to noxious substances (X40-X49)

420 Accidental poisoning by and exposure to drugs and other biological

substances (X40-X44)

421 Accidental poisoning by and exposure to other and unspecified solid

or liquids substances (X45-X46,X48-X49)

422 Accidental poisoning by and exposure to other gases and vapors (X47)

423 All other and unspecified accidents

(W20-W31,W35-W38,W41-W64,W92-W99,X20-X32,X39,X50-X59,Y86)

424 1 1 Intentional self-harm (suicide) (*U03,X60-X84,Y87.0)

425 1 Intentional self-poisoning (suicide) by and exposure to drugs and

other biological substances (X60-X64)

426 1 Intentional self-poisoning (suicide) by and exposure to other and

unspecified solid or liquid substances and their vapors

(X65-X66,X68-X69)

427 1 Intentional self-poisoning (suicide) by and exposure to other gases

and vapors (X67)

428 1 Intentional self-harm (suicide) by hanging, strangulation and

suffocation (X70)

429 1 Intentional self-harm (suicide) by discharge of firearms (X72-X74)

430 1 Intentional self-harm (suicide) by jumping from a high place (X80)

431 1 Intentional self-harm (suicide) by all other and unspecified means and

their sequelae (*U03,X71,X75-X79,X81-X84,X87.0)

432 1 Assault (homicide) (*U01-*U02,X85-Y09,X87.1)

433 Assault (homicide) by drugs, biological substances and other and

unspecified noxious substances (*U01.6-*U01.7,X85-X90)

434 Assault (homicide) by hanging, strangulation and suffocation (X91)

435 Assault (homicide) by discharge of firearms (*U01.4,X93-X95)

436 Assault (homicide) by sharp object (X99)

437 Assault (homicide) by blunt object (Y00)

438 Assault (homicide) by bodily force (Y04)

439 Sexual assault (homicide) by bodily force (Y05)

440 Neglect, abandonment and other maltreatment syndromes (Y06-Y07)

441 Assault (homicide) by all other and unspecified means and their

sequelae (*U01.0-*U01.3,*U01.5,*U01.8-*U01.9,*U02,X92,X96-X98,

Y01-Y03,Y08-Y09,Y87.1)

442 1 Event of undetermined intent (Y10-Y34,Y87.2,Y89.9)

443 Poisoning by and exposure to drugs and biological substances,

undetermined intent (Y10-Y14)

444 Poisoning by and exposure to other and unspecified solid or liquid

substance undetermined intent (Y15-Y16,Y18-Y19)

445 Poisoning by and exposure to other gases and vapors, undetermined

intent (Y17)

446 Discharge of firearms, undetermined intent (Y22-Y24)

447 Falling, jumping or pushed from a high place, undetermined intent

(Y30)

448 All other and unspecified events of undetermined intent and their

sequelae (Y20-Y21,Y25-Y29,Y31-Y34,Y87.2,Y89.9)

449 1 Legal intervention (Y35,Y89.0)

Tenth Revision 358 Selected Causes of Death Adapted for use by DVS Page 10

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over;

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

358 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

450 Legal intervention (Y35.5)

451 Other legal intervention and their sequelae (Y35.0-Y35.4,Y35.6-Y35.7,

Y89.0)

452 Operations of war and their sequelae (Y36,Y89.1)

453 1 Complications of medical and surgical care (Y40-Y84,Y88)

454 Drugs, medicaments and biological substances causing adverse effects

in therapeutic use and their sequelae (Y40-Y59,Y88.0)

455 Misadventures to patients during medical and surgical care and their

sequelae (Y60-Y69,Y88.1)

456 Other complications of medical and surgical care and their sequelae

(Y70-Y84,Y88.2-Y88.3)

Tenth Revision 113 Selected Causes of Death Adapted for use by DVS Page 1

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

113 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

001 Salmonella infections (A01-A02)

002 Shigellosis and amebiasis (A03,A06)

003 Certain other intestinal infections (A04,A07-A09)

004 1 Tuberculosis (A16-A19)

005 Respiratory tuberculosis (A16)

006 Other tuberculosis (A17-A19)

007 Whooping cough (A37)

008 Scarlet fever and erysipelas (A38,A46)

009 Meningococcal infection (A39)

010 3 Septicemia (A40-A41)

011 Syphilis (A50-A53)

012 Acute poliomyelitis (A80)

013 Arthropod-borne viral encephalitis (A83-A84,A85.2)

014 Measles (B05)

015 Viral hepatitis (B15-B19)

016 Human immunodeficiency virus (HIV) disease (B20-B24)

017 Malaria (B50-B54)

018 Other and unspecified infectious and parasitic diseases and their

sequelae (A00,A05,A20-A36,A42-A44,A48-A49,A54-A79,A81-A82,

A85.0-A85.1,A85.8,A86-B04,B06-B09,B25-B49,B55-B99)

019 1 Malignant neoplasms (C00-C97)

020 Malignant neoplasms of lip, oral cavity and pharynx (C00-C14)

021 Malignant neoplasm of esophagus (C15)

022 Malignant neoplasm of stomach (C16)

023 Malignant neoplasms of colon, rectum and anus (C18-C21)

024 Malignant neoplasms of liver and intrahepatic bile ducts (C22)

025 Malignant neoplasm of pancreas (C25)

026 Malignant neoplasm of larynx (C32)

027 Malignant neoplasms of trachea, bronchus and lung (C33-C34)

028 Malignant melanoma of skin (C43)

029 Malignant neoplasm of breast (C50)

030 2 Malignant neoplasm of cervix uteri (C53)

031 2 Malignant neoplasms of corpus uteri and uterus, part unspecified

(C54-C55)

032 2 Malignant neoplasm of ovary (C56)

033 1 Malignant neoplasm of prostate (C61)

034 Malignant neoplasms of kidney and renal pelvis (C64-C65)

035 Malignant neoplasm of bladder (C67)

036 Malignant neoplasms of meninges, brain and other parts of central

nervous system (C70-C72)

037 1 Malignant neoplasms of lymphoid, hematopoietic and related tissue

(C81-C96)

038 Hodgkin's disease (C81)

039 Non-Hodgkin's lymphoma (C82-C85)

040 Leukemia (C91-C95)

041 Multiple myeloma and immunoproliferative neoplasms (C88,C90)

042 Other and unspecified malignant neoplasms of lymphoid,

hematopoietic and related tissue (C96)

043 All other and unspecified malignant neoplasms (C17,C23-C24,C26-C31,

C37-C41,C44-C49,C51-C52,C57-C60,C62-C63,C66,C68-C69,C73-C80,C97)

044 In situ neoplasms, benign neoplasms and neoplasms of uncertain or

unknown behavior (D00-D48)

045 Anemias (D50-D64)

046 3 Diabetes mellitus (E10-E14)

047 Nutritional deficiencies (E40-E64)

048 Malnutrition (E40-E46)

049 Other nutritional deficiencies (E50-E64)

050 Meningitis (G00,G03)

051 Parkinson's disease (G20-G21)

052 Alzheimer's disease (G30)

053 1 Major cardiovascular diseases (I00-I78)

054 1 Diseases of heart (I00-I09,I11,I13,I20-I51)

Tenth Revision 113 Selected Causes of Death Adapted for use by DVS Page 2

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

113 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

055 Acute rheumatic fever and chronic rheumatic heart diseases

(I00-I09)

056 Hypertensive heart disease (I11)

057 Hypertensive heart and renal disease (I13)

058 1 Ischemic heart diseases (I20-I25)

059 Acute myocardial infarction (I21-I22)

060 Other acute ischemic heart diseases (I24)

061 1 Other forms of chronic ischemic heart disease (I20,I25)

062 Atherosclerotic cardiovascular disease, so described (I25.0)

063 All other forms of chronic ischemic heart disease

(I20,I25.1-I25.9)

064 1 Other heart diseases (I26-I51)

065 Acute and subacute endocarditis (I33)

066 Diseases of pericardium and acute myocarditis (I30-I31,I40)

067 Heart failure (I50)

068 All other forms of heart disease (I26-I28,I34-I38,I42-I49,I51)

069 Essential (primary) hypertension and hypertensive renal disease

(I10,I12)

070 Cerebrovascular diseases (I60-I69)

071 Atherosclerosis (I70)

072 1 Other diseases of circulatory system (I71-I78)

073 Aortic aneurysm and dissection (I71)

074 Other diseases of arteries, arterioles and capillaries (I72-I78)

075 Other disorders of circulatory system (I80-I99)

076 1 Influenza and pneumonia (J10-J18)

077 Influenza (J10-J11)

078 Pneumonia (J12-J18)

079 1 Other acute lower respiratory infections (J20-J22)

080 Acute bronchitis and bronchiolitis (J20-J21)

081 Unspecified acute lower respiratory infection (J22)

082 1 Chronic lower respiratory diseases (J40-J47)

083 Bronchitis, chronic and unspecified (J40-J42)

084 3 Emphysema (J43)

085 Asthma (J45-J46)

086 Other chronic lower respiratory diseases (J44,J47)

087 Pneumoconioses and chemical effects (J60-J66,J68)

088 Pneumonitis due to solids and liquids (J69)

089 Other diseases of respiratory system (J00-J06,J30-J39,J67,J70-J98)

090 Peptic ulcer (K25-K28)

091 Diseases of appendix (K35-K38)

092 Hernia (K40-K46)

093 1 Chronic liver disease and cirrhosis (K70,K73-K74)

094 Alcoholic liver disease (K70)

095 Other chronic liver disease and cirrhosis (K73-K74)

096 Cholelithiasis and other disorders of gallbladder (K80-K82)

097 1 Nephritis, nephrotic syndrome and nephrosis (N00-N07,N17-N19,N25-N27)

098 Acute and rapidly progressive nephritic and nephrotic syndrome

(N00-N01,N04)

099 Chronic glomerulonephritis, nephritis and nephropathy not specified

as acute or chronic, and renal sclerosis unspecified (N02-N03,

N05-N07,N26)

100 Renal failure (N17-N19)

101 Other disorders of kidney (N25,N27)

102 Infections of kidney (N10-N12,N13.6,N15.1)

103 1 Hyperplasia of prostate (N40)

104 2 Inflammatory diseases of female pelvic organs (N70-N76)

105 1 2 2 Pregnancy, childbirth and the puerperium (O00-O99)

106 2 2 Pregnancy with abortive outcome (O00-O07)

107 2 2 Other complications of pregnancy, childbirth and the puerperium

(O10-O99)

108 Certain conditions originating in the perinatal period (P00-P96)

109 Congenital malformations, deformations and chromosomal abnormalities

(Q00-Q99)

Tenth Revision 113 Selected Causes of Death Adapted for use by DVS Page 3

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

113 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

110 Symptoms, signs and abnormal clinical and laboratory findings, not

elsewhere classified (R00-R99)

111 All other diseases (Residual) (D65-E07,E15-E34,E65-F99,G04-G12,

G23-G25,G31-H93,K00-K22,K29-K31,K50-K66,K71-K72,K75-K76,K83-M99,

N13.0-N13.5,N13.7-N13.9,N14,N15.0,N15.8-N15.9,N20-N23,N28-N39,

N41-N64,N80-N98)

112 1 Accidents (unintentional injuries) (V01-X59,Y85-Y86)

113 1 Transport accidents (V01-V99,Y85)

114 Motor vehicle accidents (V02-V04,V09.0,V09.2,V12-V14,V19.0-V19.2,

V19.4-V19.6,V20-V79,V80.3-V80.5,V81.0-V81.1,V82.0-V82.1,V83-V86,

V87.0-V87.8,V88.0-V88.8,V89.0,V89.2)

115 Other land transport accidents (V01,V05-V06,V09.1,V09.3-V09.9,

V10-V11,V15-V18,V19.3,V19.8-V19.9,V80.0-V80.2,V80.6-V80.9,

V81.2-V81.9,V82.2-V82.9,V87.9,V88.9,V89.1,V89.3,V89.9)

116 Water, air and space, and other and unspecified transport

accidents and their sequelae (V90-V99,Y85)

117 1 Nontransport accidents (W00-X59,Y86)

118 Falls (W00-W19)

119 Accidental discharge of firearms (W32-W34)

120 Accidental drowning and submersion (W65-W74)

121 Accidental exposure to smoke, fire and flames (X00-X09)

122 Accidental poisoning and exposure to noxious substances (X40-X49)

123 Other and unspecified nontransport accidents and their sequelae

(W20-W31,W35-W64,W75-W99,X10-X39,X50-X59,Y86)

124 1 1 Intentional self-harm (suicide) (*U03,X60-X84,Y87.0)

125 1 Intentional self-harm (suicide) by discharge of firearms (X72-X74)

126 1 Intentional self-harm (suicide) by other and unspecified means and

their sequelae (*U03,X60-X71,X75-X84,Y87.0)

127 1 Assault (homicide) (*U01-*U02,X85-Y09,Y87.1)

128 Assault (homicide) by discharge of firearms (*U01.4,X93-X95)

129 Assault (homicide) by other and unspecified means and their

sequelae (*U01.0-*U01.3,*U01.5-*U01.9,*U02,X85-X92,X96-Y09,Y87.1)

130 Legal intervention (Y35,Y89.0)

131 1 Events of undetermined intent (Y10-Y34,Y87.2,Y89.9)

132 Discharge of firearms, undetermined intent (Y22-Y24)

133 Other and unspecified events of undetermined intent and their

sequelae (Y10-Y21,Y25-Y34,Y87.2,Y89.9)

134 Operations of war and their sequelae (Y36,Y89.1)

135 Complications of medical and surgical care (Y40-Y84,Y88)

Tenth Revision 130 Selected Causes of Infant Death Adapted for use by DVS Page 1

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

130 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

001 1 Certain infectious and parasitic diseases (A00-B99)

002 Certain intestinal infectious diseases (A00-A08)

003 Diarrhea and gastroenteritis of infectious origin (A09)

004 Tuberculosis (A16-A19)

005 Tetanus (A33,A35)

006 Diphtheria (A36)

007 Whooping cough (A37)

008 Meningococcal infection (A39)

009 3 Septicemia (A40-A41)

010 Congenital syphilis (A50)

011 Gonococcal infection (A54)

012 1 Viral diseases (A80-B34)

013 Acute poliomyelitis (A80)

014 Varicella (chickenpox) (B01)

015 Measles (B05)

016 Human immunodeficiency virus (HIV) disease (B20-B24)

017 Mumps (B26)

018 Other and unspecified viral diseases

(A81-B00,B02-B04,B06-B19,B25,B27-B34)

019 Candidiasis (B37)

020 Malaria (B50-B54)

021 Pneumocystosis (B59)

022 All other and unspecified infectious and parasitic diseases

(A20-A32,A38,A42-A49,A51-A53,A55-A79,B35-B36,B38-B49,B55-B58,B60-B99)

023 1 Neoplasms (C00-D48)

024 1 Malignant neoplasms (C00-C97)

025 Hodgkin's disease and non-Hodgkin's lymphomas (C81-C85)

026 Leukemia (C91-C95)

027 Other and unspecified malignant neoplasms (C00-C80,C88,C90,C96-C97)

028 In situ neoplasms, benign neoplasms and neoplasms of uncertain or unknown

behavior (D00-D48)

029 1 Diseases of the blood and blood-forming organs and certain disorders

involving the immune mechanism (D50-D89)

030 Anemias (D50-D64)

031 Hemorrhagic conditions and other diseases of blood and blood-forming

organs (D65-D76)

032 Certain disorders involving the immune mechanism (D80-D89)

033 1 Endocrine, nutritional and metabolic diseases (E00-E88)

034 Short stature, not elsewhere classified (E34.3)

035 Nutritional deficiencies (E40-E64)

036 Cystic fibrosis (E84)

037 3 Volume depletion, disorders of fluid, electrolyte and acid-base

balance (E86-E87)

038 All other endocrine, nutritional and metabolic diseases

(E00-E32,E34.0-E34.2,E34.4-E34.9,E65-E83,E85,E88)

039 1 Diseases of the nervous system (G00-G98)

040 Meningitis (G00,G03)

041 Infantile spinal muscular atrophy, type I (Werdnig-Hoffman) (G12.0)

042 Infantile cerebral palsy (G80)

043 Anoxic brain damage, not elsewhere classified (G93.1)

044 Other diseases of nervous system

(G04,G06-G11,G12.1-G12.9,G20-G72,G81-G92,G93.0,G93.2-G93.9,G95-G98)

045 Diseases of the ear and mastoid process (H60-H93)

046 1 Diseases of the circulatory system (I00-I99)

047 Pulmonary heart disease and diseases of pulmonary circulation

(I26-I28)

048 Pericarditis, endocarditis and myocarditis (I30,I33,I40)

049 Cardiomyopathy (I42)

050 Cardiac arrest (I46)

051 Cerebrovascular diseases (I60-I69)

052 All other diseases of circulatory system

(I00-I25,I31,I34-I38,I44-I45,I47-I51,I70-I99)

053 1 Diseases of the respiratory system (J00-J98)

054 Acute upper respiratory infections (J00-J06)

Tenth Revision 130 Selected Causes of Infant Death Adapted for use by DVS Page 2

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

130 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

055 1 Influenza and pneumonia (J10-J18)

056 Influenza (J10-J11)

057 Pneumonia (J12-J18)

058 Acute bronchitis and acute bronchiolitis (J20-J21)

059 Bronchitis, chronic and unspecified (J40-J42)

060 Asthma (J45-J46)

061 Pneumonitis due to solids and liquids (J69)

062 Other and unspecified diseases of respiratory system

(J22,J30-J39,J43-J44,J47-J68,J70-J98)

063 1 Diseases of the digestive system (K00-K92)

064 Gastritis, duodenitis, and noninfective enteritis and colitis

(K29,K50-K55)

065 Hernia of abdominal cavity and intestinal obstruction without hernia

(K40-K46,K56)

066 All other and unspecified diseases of digestive system

(K00-K28,K30-K38,K57-K92)

067 1 Diseases of the genitourinary system (N00-N95)

068 Renal failure and other disorders of kidney (N17-N19,N25,N27)

069 Other and unspecified diseases of genitourinary system

(N00-N15,N20-N23,N26,N28-N95)

070 1 Certain conditions originating in the perinatal period (P00-P96)

071 1 Newborn affected by maternal factors and by complications of

pregnancy, labor and delivery (P00-P04)

072 Newborn affected by maternal hypertensive disorders (P00.0)

073 Newborn affected by other maternal conditions which may be

unrelated to present pregnancy (P00.1-P00.9)

074 1 Newborn affected by maternal complications of pregnancy (P01)

075 Newborn affected by incompetent cervix (P01.0)

076 Newborn affected by premature rupture of membranes (P01.1)

077 Newborn affected by multiple pregnancy (P01.5)

078 Newborn affected by other maternal complications of pregnancy

(P01.2-P01.4,P01.6-P01.9)

079 1 Newborn affected by complications of placenta, cord and membranes

(P02)

080 Newborn affected by complications involving placenta

(P02.0-P02.3)

081 Newborn affected by complications involving cord (P02.4-P02.6)

082 Newborn affected by chorioamnionitis (P02.7)

083 Newborn affected by other and unspecified abnormalities of

membranes (P02.8-P02.9)

084 Newborn affected by other complications of labor and delivery

(P03)

085 Newborn affected by noxious influences transmitted via placenta or

breast milk (P04)

086 1 Disorders related to length of gestation and fetal malnutrition

(P05-P08)

087 Slow fetal growth and fetal malnutrition (P05)

088 1 Disorders related to short gestation and low birth weight, not

elsewhere classified (P07)

089 Extremely low birth weight or extreme immaturity (P07.0,P07.2)

090 Other low birth weight or preterm (P07.1,P07.3)

091 Disorders related to long gestation and high birth weight (P08)

092 Birth trauma (P10-P15)

093 1 Intrauterine hypoxia and birth asphyxia (P20-P21)

094 Intrauterine hypoxia (P20)

095 Birth asphyxia (P21)

096 Respiratory distress of newborn (P22)

097 1 Other respiratory conditions originating in the perinatal period

(P23-P28)

098 Congenital pneumonia (P23)

099 Neonatal aspiration syndromes (P24)

100 Interstitial emphysema and related conditions originating in the

perinatal period (P25)

Tenth Revision 130 Selected Causes of Infant Death Adapted for use by DVS Page 3

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

130 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

101 Pulmonary hemorrhage originating in the perinatal period (P26)

102 Chronic respiratory disease originating in the perinatal period

(P27)

103 Atelectasis (P28.0-P28.1)

104 All other respiratory conditions originating in the perinatal

period (P28.2-P28.9)

105 1 Infections specific to the perinatal period (P35-P39)

106 Bacterial sepsis of newborn (P36)

107 Omphalitis of newborn with or without mild hemorrhage (P38)

108 All other infections specific to the perinatal period

(P35,P37,P39)

109 1 Hemorrhagic and hematological disorders of newborn (P50-P61)

110 Neonatal hemorrhage (P50-P52,P54)

111 Hemorrhagic disease of newborn (P53)

112 Hemolytic disease of newborn due to isoimmunization and other

perinatal jaundice (P55-P59)

113 Hematological disorders (P60-P61)

114 Syndrome of infant of a diabetic mother and neonatal diabetes

mellitus (P70.0-P70.2)

115 Necrotizing enterocolitis of newborn (P77)

116 Hydrops fetalis not due to hemolytic disease (P83.2)

117 Other perinatal conditions

(P29,P70.3-P70.9,P71-P76,P78-P81,P83.0-P83.1,P83.3-P83.9,P90-P96)

118 1 Congenital malformations, deformations and chromosomal abnormalities

(Q00-Q99)

119 Anencephaly and similar malformations (Q00)

120 Congenital hydrocephalus (Q03)

121 Spina bifida (Q05)

122 Other congenital malformations of nervous system

(Q01-Q02,Q04,Q06-Q07)

123 Congenital malformations of heart (Q20-Q24)

124 Other congenital malformations of circulatory system (Q25-Q28)

125 Congenital malformations of respiratory system (Q30-Q34)

126 Congenital malformations of digestive system (Q35-Q45)

127 Congenital malformations of genitourinary system (Q50-Q64)

128 Congenital malformations and deformations of musculoskeletal system,

limbs and integument (Q65-Q85)

129 Down's syndrome (Q90)

130 Edward's syndrome (Q91.0-Q91.3)

131 Patau's syndrome (Q91.4-Q91.7)

132 Other congenital malformations and deformations (Q10-Q18,Q86-Q89)

133 Other chromosomal abnormalities, not elsewhere classified (Q92-Q99)

134 1 Symptoms, signs and abnormal clinical and laboratory findings, not

elsewhere classified (R00-R99)

135 Sudden infant death syndrome (R95)

136 Other symptoms, signs and abnormal clinical and laboratory findings,

not elsewhere classified (R00-R53,R55-R94,R96-R99)

137 All other diseases (Residual) (F01-F99,H00-H57,L00-M99)

138 1 External causes of mortality (*U01,V01-Y84)

139 1 Accidents (unintentional injuries) (V01-X59)

140 1 Transport accidents (V01-V99)

141 Motor vehicle accidents(V02-V04,V09.0,V09.2,V12-V14,V19.0-V19.2,

V19.4-V19.6,V20-V79,V80.3-V80.5,V81.0-V81.1,V82.0-V82.1,V83-V86,

V87.0-V87.8,V88.0-V88.8,V89.0,V89.2)

142 Other and unspecified transport accidents

(V01,V05-V06,V09.1,V09.3-V09.9,V10-V11,V15-V18,V19.3,

V19.8-V19.9,V80.0-V80.2,V80.6-V80.9,V81.2-V81.9,V82.2-V82.9,

V87.9,V88.9,V89.1,V89.3,V89.9,V90-V99)

143 Falls (W00-W19)

144 Accidental discharge of firearms (W32-W34)

145 Accidental drowning and submersion (W65-W74)

146 Accidental suffocation and strangulation in bed (W75)

147 Other accidental suffocation and strangulation (W76-W77,W81-W84)

Tenth Revision 130 Selected Causes of Infant Death Adapted for use by DVS Page 4

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

130 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

148 Accidental inhalation and ingestion of food or other objects

causing obstruction of respiratory tract (W78-W80)

149 Accidents caused by exposure to smoke, fire and flames (X00-X09)

150 Accidental poisoning and exposure to noxious substances (X40-X49)

151 Other and unspecified accidents

(W20-W31,W35-W64,W85-W99,X10-X39,X50-X59)

152 1 Assault (homicide) (*U01,X85-Y09)

153 Assault (homicide) by hanging, strangulation and suffocation (X91)

154 Assault (homicide) by discharge of firearms (*U01.4,X93-X95)

155 Neglect, abandonment and other maltreatment syndromes (Y06-Y07)

156 Assault (homicide) by other and unspecified means

(*U01.0-*U01.3,*U01.5-*U01.9,X85-X90,X92,X96-X99,Y00-Y05,Y08-Y09)

157 Complications of medical and surgical care (Y40-Y84)

158 Other external causes (X60-X84,Y10-Y36)

Tenth Revision 39 Selected Causes of Death Adapted for use by DVS Page 1

ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females

Age: 1 = 5 and over; 2 = 10-54; 3 = 28 days and over

4 = Under 1 year; 5 = 1-4 years; 6 = 1 year and over

***** Cause Subtotals are not identified in this file *****

39 S Limited

Recode T Sex Age Cause Title and ICD-10 Codes Included

001 Tuberculosis (A16-A19)

002 Syphilis (A50-A53)

003 Human immunodeficiency virus (HIV) disease (B20-B24)

004 1 Malignant neoplasms (C00-C97)

005 Malignant neoplasm of stomach (C16)

006 Malignant neoplasms of colon, rectum and anus (C18-C21)

007 Malignant neoplasm of pancreas (C25)

008 Malignant neoplasms of trachea, bronchus and lung (C33-C34)

009 Malignant neoplasm of breast (C50)

010 2 Malignant neoplasms of cervix uteri, corpus uteri and ovary

(C53-C56)

011 1 Malignant neoplasm of prostate (C61)

012 Malignant neoplasms of urinary tract (C64-C68)

013 Non-Hodgkin's lymphoma (C82-C85)

014 Leukemia (C91-C95)

015 Other malignant neoplasms (C00-C15,C17,C22-C24,C26-C32,C37-C49,

C51-C52,C57-C60,C62-C63,C69-C81,C88,C90,C96-C97)

016 3 Diabetes mellitus (E10-E14)

017 Alzheimer's disease (G30)

018 1 Major cardiovascular diseases (I00-I78)

019 1 Diseases of heart (I00-I09,I11,I13,I20-I51)

020 Hypertensive heart disease with or without renal disease

(I11,I13)

021 Ischemic heart diseases (I20-I25)

022 Other diseases of heart (I00-I09,I26-I51)

023 Essential (primary) hypertension and hypertensive renal disease

(I10,I12)

024 Cerebrovascular diseases (I60-I69)

025 Atherosclerosis (I70)

026 Other diseases of circulatory system (I71-I78)

027 Influenza and pneumonia (J10-J18)

028 Chronic lower respiratory diseases (J40-J47)

029 Peptic ulcer (K25-K28)

030 Chronic liver disease and cirrhosis (K70,K73-K74)

031 Nephritis, nephrotic syndrome, and nephrosis

(N00-N07,N17-N19,N25-N27)

032 2 2 Pregnancy, childbirth and the puerperium (O00-O99)

033 Certain conditions originating in the perinatal period (P00-P96)

034 Congenital malformations, deformations and chromosomal abnormalities

(Q00-Q99)

035 4 Sudden infant death syndrome (R95)

036 Symptoms, signs and abnormal clinical and laboratory findings, not

elsewhere classified (excluding Sudden infant death syndrome)

(R00-R94,R96-R99)

037 All other diseases (Residual) (A00-A09,A20-A49,A54-B19,B25-B99,

D00-E07,E15-G25,G31-H93,I80-J06,J20-J39,J60-K22,K29-K66,K71-K72,

K75-M99,N10-N15,N20-N23,N28-N98)

038 Motor vehicle accidents (V02-V04,V09.0,V12-V14,V19.0-V19.2,

V19.4-V19.6,V20-V79,V80.3-V80.5,V81.0-V81.1,V82.0-V82.1,V83-V86,

V87.0-V87.8,V88.0-V88.8,V89.0,V89.2)

039 All other and unspecified accidents and adverse effects

(V01,V05-V06,V09.1,V09.3-V09.9,V10-V11,V15-V18,V19.3,V19.8-V19.9,

V80.0-V80.2,V80.6-V80.9,V81.2-V81.9,V82.2-V82.9,V87.9,V88.9,V89.1,

V89.3,V89.9,V90-X59,Y40-Y86,Y88)

040 1 Intentional self-harm (suicide) (*U03,X60-X84,Y87.0)

041 Assault (homicide) (*U01-*U02,X85-Y09,Y87.1)

042 All other external causes (Y10-Y36,Y87.2,Y89)

TECHNICAL APPENDIX FROM

VITAL STATISTICS OF

UNITED STATES

1999

MORTALITY

U.S. DEPARTMENT OF

HEALTH AND HUMAN SERVICES

PUBLIC HEALTH SERVICE

CENTERS FOR DISEASE CONTROL AND PREVENTION

NATIONAL CENTER FOR HEALTH STATISTICS

Hyattsville, Maryland: October, 2004

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

ACKNOWLEDGMENTS

The technical appendix preparation was coordinated by Sherry L. Murphy in the Division of Vital Statistics under the

general direction of Harry M. Rosenberg, Special Assistant for International Mortality Statistics. The vital statistics

computer files on which it is based were prepared by staff from the Division of Vital Statistics, Division of Data

Processing, Division of Data Services, and the Office of Research and Methodology.

The Division of Vital Statistics, Mary Anne Freedman, Director, and James A. Weed, Deputy Director, managed the

Vital Statistics Cooperative Program, through which the vital registration offices of all States, the District of

Columbia, New York City, Puerto Rico, Virgin Islands, Guam, American Samoa, and the Commonwealth of the

Northern Mariana Islands provided the data to the National Center for Health Statistics. This Division also received

and processed the basic data file, processed computer edits, designed and programmed the tabulations, reviewed the

data, and prepared documentation for this publication. The following staff provided overall direction: Ronald F.

Chamblee, George A. Gay, Donna E. Glenn, Nicholas F. Pace, and Harry M. Rosenberg. Important contributors were

Tyringa L. Ambrose, Robert N. Anderson, Rosalyn R. Anderson, Elizabeth Arias, Judy M. Barnes, Joyce L. Bius,

Brenda L. Brown, Frances E. Carter, Shirley Carter, Faye Cavalchire, Celia Dickens, Linda P. Currin, Thomas D.

Dunn, Brenda A. Green, Connie M. Gentry, Lillian M. Guettler, James Herndon, Donna L. Hoyert, Christina K.

Jarman, Millie B. Johnson, David W. Justice, Virginia J. Justice, Kenneth D. Kochanek, Julia L. Kowaleski, Mary

Susan Lippincott, Denise Little, Jeffrey D. Maurer, Susan L. McBroom, Arialdi M. Minino; Sherry L. Murphy, Gail

A. Parr, Rodney Pierson, Tanya Pitts, Seth J. Preslar, Barbara Porterfield, Phyllis Powell-Hobgood, Julia E. Raynor,

Adrienne L. Rouse, Charles E. Royer, Jordan Sacks, Eldora Smith, Pamela A. Stephenson, Leslie J. Stewart, Betsy B.

Thompson, George C. Tolson, Mary M. Trotter, Teresa M. Watkins, Faye L. Webster, Francine D. Winter, Mary

Whitley, Dora B. Wilkerson, Cynthia Williams, and James G. Williams.

The Office of Research and Methodology was responsible for the application of mathematical statistics methods to

the development and implementation of quality assurance procedures. Important contributions in this area were made

by Van L. Parsons.

The National Center for Health Statistics acknowledges the essential role of the vital registration offices of all States

and territories in maintaining the system through which vital statistics data are obtained and for their cooperation in

providing the information on which this publication is based.

A copy of the technical appendix may be obtained by contacting the National Center for Health Statistics, Mortality

Statistics Branch at 301-458-4666.

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

For a list of reports published by the National Center for Health

Statistics contact:

Mortality Statistics Branch

National Center for Health Statistics

Centers for Disease Control and Prevention

Public Health Service

3311 Toledo Road, Room 7318

Hyattsville, MD 20782

(301) 458-4666

Internet: http://www.cdc.gov/nchs/

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Sources of data ................................................................................................................................................................1

Mortality statistics ....................................................................................................................................................1

Standard certificate...................................................................................................................................................3

History.............................................................................................................................................................................3

Classification of data .......................................................................................................................................................4

Classification by occurrence and residence..............................................................................................................4

Geographic classification .........................................................................................................................................4

State or country of birth............................................................................................................................................5

Age ...........................................................................................................................................................................5

Race..........................................................................................................................................................................5

Hispanic deaths ........................................................................................................................................................7

Marital status............................................................................................................................................................8

Educational attainment .............................................................................................................................................9

Injury at work.........................................................................................................................................................10

Occupation and industry.........................................................................................................................................10

Place of death and status of decedent .....................................................................................................................11

Mortality by month and date of death ....................................................................................................................11

Report of autopsy ...................................................................................................................................................12

Cause of death ........................................................................................................................................................12

Codes for firearm deaths ........................................................................................................................................20

Codes for drug-induced deaths...............................................................................................................................20

Codes for alcohol-induced deaths ..........................................................................................................................20

Maternal deaths ......................................................................................................................................................21

Infant deaths ...........................................................................................................................................................21

Quality of data ..............................................................................................................................................................23

Completeness of registration ..................................................................................................................................23

Quality control procedures .....................................................................................................................................23

Computation of rates and other measures .....................................................................................................................24

Population bases.....................................................................................................................................................24

Net census undercount............................................................................................................................................26

Age-adjusted death rates ........................................................................................................................................27

Life tables...............................................................................................................................................................30

Causes of death contributing to changes in life expectancy ...................................................................................31

Random variation and sampling errors...................................................................................................................31

Statistical tests........................................................................................................................................................38

References .....................................................................................................................................................................40

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Figures

1. U.S. Standard Certificate of Death..................................................................................................................44

Text tables

A. Percent agreement between number of deaths from death certificates and from census and

Current Population Survey files, by race and Hispanic origin, and ratio of number of deaths:

1960 census and the National Longitudinal Mortality Study ...................................................................45

B. Reported age-adjusted death rates and rates adjusted for reporting bias and undercoverage, by race and

Hispanic origin: United States, 1999........................................................................................................46

C. Number of States whose Hispanic data was considered of sufficient quality for analysis and

publication by NCHS and estimated percent of U.S. Hispanic population residing in

reporting States, 1984-1997 .....................................................................................................................47

D. Year in which State began reporting Hispanic data and year in which data reached level of acceptable

quality and completeness for analysis by NCHS: Each State...................................................................48

E. Comparable category codes and estimated comparability ratios for 113 selected causes of death,

injury by firearms, drug-induced deaths and alcohol-induced deaths according to the Ninth and

Tenth Revisions, International Classification of Diseases ......................................................................50

F. Comparable category codes and estimated comparability ratios for 130 selected causes of infant death

according to the Ninth and Tenth Revisions, International Classification of Diseases ...........................55

G. Infant mortality rates by race of infant from the death certificate and by race of mother from the

birth certificate, and ratio of rates, 1995-96 .............................................................................................61

H. Infant mortality rates by Hispanic origin of infant from the death certificate and by race of mother

from the birth certificate, and ratio of rates, 1996....................................................................................62

I. Population of birth- and death-registration States, 1900-1932, and United States, 1900-99 ...........................63

J. Source for resident population and population including Armed Forces abroad: Birth- and death-

registration States, 1900-32, and United States, 1933-99.........................................................................65

K. Estimated population of the United States, by 5-year age groups, race, and sex: July 1, 1999.......................66

L. Estimated Population, by age, for the United States, each division and State, Puerto Rico,

Virgin Islands, Guam, American Samoa, and Northern Marianas: July 1, 1999......................................67

M. Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic origin,

and sex: United States, July 1, 1999.........................................................................................................69

N. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race and sex:

United States, 1999 ..................................................................................................................................71

O. Estimated population for ages 15 years and over, by 5-year age groups, marital status, specified

Hispanic origin, race for non-Hispanic origin, and sex: United States, July 1, 1999 ...............................74

P. Estimated population for ages 25-64 years, by 10-year age groups, educational attainment, race and sex:

Total of 46 reporting States and the District of Columbia, July 1, 1999 ..................................................78

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Q. Ratio of census-level resident population to resident population adjusted for estimated net census

undercount by age, sex, and race: April 1, 1990 ......................................................................................80

R. Age-adjusted death rates for selected causes by race and sex, unadjusted and adjusted for estimated

net census undercount: United States, 1990.............................................................................................82

S. Lower and upper 95% and 96% confidence limit factors for a death rate based on a Poisson variable

of 1 through 99 deaths, D or D

adj

.............................................................................................................83

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Sources of data

Mortality statistics

Mortality statistics for 1999 are, as for all previous years except 1972, based on information from records of all

deaths occurring in the United States.

The death-registration system of the United States encompasses the 50 States, the District of Columbia, New

York City (which is independent of New York State for the purpose of death registration), Puerto Rico, the Virgin

Islands, Guam, American Samoa, and the Commonwealth of the Northern Mariana Islands (Northern Marianas). In

statistical tabulations, United States refers only to the aggregate of the 50 States (including New York City) and the

District of Columbia. Data for Guam, Puerto Rico, Virgin Islands, American Samoa, and Northern Marianas are

presented separately from data for the United States.

The Virgin Islands was admitted to the registration area for deaths in 1924; Puerto Rico, in 1932; and Guam, in

1970. Tabulations of death statistics for Puerto Rico and the Virgin Islands were regularly shown in Vital Statistics of

the United States from the year of their admission through 1971 except for the years 1967-69, and tabulations for

Guam were included for 1970 and 1971. Death statistics for Puerto Rico, the Virgin Islands, and Guam were not

included in Vital Statistics of the United States for 1972 but have been included each year since 1973. Information for

1972 for these three areas was published in the respective annual vital statistics reports of the Department of Health of

the Commonwealth of Puerto Rico, the Department of Health of the Virgin Islands, and the Department of Public

Health and Social Services of the Government of Guam. Death statistics are available for American Samoa beginning

with data year 1997 and for Northern Marianas beginning with data year 1998.

Procedures used by NCHS to collect death statistics have changed over the years. Before 1971 tabulations of

deaths were based solely on information obtained by NCHS from copies of the original certificates. The information

from these copies was edited, coded, and tabulated. For 1960-70 all mortality information taken from these records

was transferred by NCHS to magnetic tape for computer processing.

Beginning with 1971 an increasing number of States have provided NCHS, via the Vital Statistics Cooperative

Program (VSCP), with electronic files of data coded according to NCHS specifications. The year in which

State-coded demographic data were first transmitted in electronic data files to NCHS is shown below for each of the

States, New York City, the District of Columbia, Puerto Rico, and the Virgin Islands, all of which now furnish

demographic or nonmedical data in electronic data files.

1971 1972

Florida Maine

Missouri

New Hampshire

Rhode Island

Vermont

1974

1975

Illinois

Louisiana

Iowa

Maryland

Kansas

North Carolina

Montana

Oklahoma

Nebraska

Tennessee

Oregon

Virginia

South Carolina

Wisconsin

1973

Colorado

Michigan

New York (except New York

City)

1976

Alabama

Kentucky

Minnesota

Nevada

Texas

West Virginia

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

1977

1978

1979

Alaska

Indiana

Connecticut

Idaho

Utah

Hawaii

Massachusetts

Washington

Mississippi

New York City

New Jersey

Ohio

Pennsylvania

Puerto Rico

Wyoming

1980

1982

1985

Arkansas

North Dakota

Arizona

New Mexico

California

South Dakota

Delaware

Georgia

District of Columbia

1994

Virgin Islands

For Guam, American Samoa, and Northern Marianas, mortality statistics are based on information obtained

directly by NCHS from copies of the original certificates received from the registration office of each respective

territory.

In 1974 States began coding medical (cause-of-death) data in electronic data files according to NCHS

specifications. The year in which State-coded medical data were first transmitted to NCHS is shown below for the 43

States now furnishing such data. In 1999 Maine and Montana contracted with a private company to provide precoded

medical data to NCHS. The remaining 7 VSCP States, New York City, the District of Columbia, Puerto Rico, the

Virgin Islands, Guam, American Samoa, and Northern Marianas submitted copies of the original certificates from

which NCHS coded the medical data.

1974

1975

Iowa

Louisiana

Michigan

Nebraska

North Carolina

Virginia

Wisconsin

1981

1983

Maine

Minnesota

1986

1988

California

Alaska

Florida

Delaware

Texas

Idaho

North Dakota

Wyoming

1980

Colorado

Kansas

Massachusetts

Mississippi

New Hampshire

Pennsylvania

South Carolina

1984

Maryland

New York (except New York

City)

Vermont

1989

Georgia

Indiana

Washington

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

1991 1992 1993

Arkansas Montana Alabama

Connecticut

Hawaii

Nevada

Oregon

South Dakota

1994

1995 1996

Oklahoma

New Mexico Utah

Rhode Island

1998

Tennessee

For 1999 and previous years except 1972, NCHS coded the medical information from copies of the original

certificates received from the registration offices for all deaths occurring in those States that were not furnishing

NCHS with medical data coded according to NCHS specifications. For 1981 and 1982, these procedures were

modified because of a coding and processing backlog resulting from personnel and budgetary restrictions. To produce

the mortality files on a timely basis with reduced resources, NCHS used State-coded underlying cause-of-death

information supplied by 19 States for 50 percent of the records; for the other 50 percent of the records for these States

as well as for 100 percent of the records for the remaining 21 registration areas, NCHS coded the medical

information. Mortality statistics for 1972 were based on information obtained from a 50-percent sample of death

records instead of from all records as in other years. The sample resulted from personnel and budgetary restrictions.

Sampling variation associated with the 50-percent sample is described in “Estimates of errors arising from 50-percent

sample for 1972” under “Quality control procedures.”

Standard certificate

For many years, the U.S. Standard Certificate of Death, issued by the Department of Health and Human Services,

has been used as the principal means to attain uniformity in the contents of documents used to collect information on

these events. It has been modified by each State to the extent required by the particular needs of the State or by

special provisions of State vital statistics laws. However, the certificates of most States conform closely in content

and arrangement to the standards.

The first issue of the U.S. Standard Certificate of Death appeared in 1900. Since then, it has been revised

periodically by NCHS and its predecessors through consultation with State health officers and registrars; Federal

agencies concerned with vital statistics; national, State, and county medical societies; and others working in such

fields as public health, social welfare, demography, and insurance. This revision procedure has ensured careful

evaluation of each item in terms of its current and future usefulness for legal, medical and health, demographic, and

research purposes. New items have been added when necessary, and old items have been modified to ensure better

reporting; or in some cases, items have been dropped when their usefulness appeared to be limited.

The current version of the U.S. Standard Certificate of Death was recommended for State use beginning on

January 1, 1989. The U.S. Standard Certificate of Death is shown in figure 1 on page 44 (1).

History

The first death statistics published by the Federal Government concerned events in 1850 and were based on

statistics collected during the decennial census of that year. In 1880 a national “registration area” was created for

deaths. Originally, this area consisted of Massachusetts, New Jersey, the District of Columbia, and several large cities

that had efficient systems for death registration. The death-registration area continued to expand until 1933, when it

included for the first time the entire United States. Tables showing data for death-registration States include the

District of Columbia for all years; registration cities in nonregistration States are not included. For more details on the

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

history of the death-registration area, see U.S. Vital Statistics System: Major Activities and Developments, 1950-95

(2).

Classification of data

Vital statistics data is presented in terms of both frequencies and rates which are classified according to

demographic variables such as geographic area, age, sex, and race. Since the calculation of rates requires population

data, both vital statistics and population data must be classified and tabulated in comparable groups. The general rules

used in the classification of geographic and personal items for deaths for 1999 are set forth in the NCHS instruction

manual, Part 4 (3). A discussion of the classification of certain important items is presented below.

Classification by occurrence and residence

Tabulations for the United States and specified geographic areas are classified by place of residence unless stated

as by place of occurrence. Before 1970 resident mortality statistics for the United States included all deaths occurring

in the States and the District of Columbia, with deaths of nonresidents assigned to place of death. Then beginning in

1970, deaths of nonresidents of the United States were excluded from resident mortality data for the United States.

For 1999, deaths of nonresidents for the United States (50 States and the District of Columbia) refers to deaths

that occur in the 50 States and the District of Columbia of nonresident aliens; nationals residing abroad; and residents

of Puerto Rico, the Virgin Islands, Guam, American Samoa, Northern Marianas, and other territories of the United

States. Similarly, for Puerto Rico, Virgin Islands, American Samoa, and Northern Marianas, deaths of nonresidents

refers to deaths that occurred to a resident of any place other than Puerto Rico, Virgin Islands, American Samoa, and

Northern Marianas, respectively. For Guam, however, deaths of nonresidents refers to deaths that occurred to a

resident of any place other than Guam or the United States. Beginning with 1970, deaths of nonresidents are not

included in tables by place of residence. If place of residence is not stated or unknown on the death certificate, then

place of residence is assigned to the place where the death occurred.

Deaths by place of occurrence, on the other hand, include deaths of both residents and nonresidents of the United

States. Consequently, for each year beginning with 1970, the total number of deaths in the United States by place of

occurrence was somewhat greater than the total by place of residence. For 1999 this difference amounted to 3,472

deaths.

Before 1970, except for 1964 and 1965, deaths of nonresidents of the United States occurring in the United

States were treated as deaths of residents of the exact place of occurrence, which in most instances was an urban area.

In 1964 and 1965, deaths of nonresidents of the United States occurring in the United States were allocated as deaths

of residents of the balance of the county in which they occurred.

Residence error--Results of a 1960 study showed that the classification of residence information on the death

certificates corresponded closely to the residence classification of the census records for the decedents whose records

were matched (4).

A recent review of infant mortality rates for major urban areas suggests that the problem of residence error

persists in vital statistics data despite the presence of an item on the U.S. Standard certificates of birth and death that

asks whether residence was inside or outside city limits. Full resolution of this problem may require the application of

automated systems for assigning addresses to geopolitical units.

Geographic classification

The rules followed in the classification of geographic areas for deaths are contained in NCHS instruction manual,

Part 4 (3). The geographic codes assigned by NCHS on birth and death records are given in NCHS instruction manual

Part 8 (5). Beginning with 1994 data, the geographic codes were modified to reflect results of the 1990 census. For

1982-93 codes are based on the results of the 1980 census and for 1970-81 on the 1970 census.

Metropolitan statistical areas--The Metropolitan statistical areas (MSA's) and Primary metropolitan statistical

areas (PMSA's) are those established by the U.S. Office of Management and Budget as of April 1, 1990, and used by

the U.S. Bureau of the Census (6), except in the New England States.

Outside the New England States, an MSA has either a city with a population of at least 50,000 or a U.S. Bureau

of the Census urbanized area of at least 50,000 and a total MSA population of at least 100,000. A PMSA consists of a

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

large urbanized county or cluster of counties that demonstrate very strong internal economic and social links and has a

population over one million. When PMSA's are defined, the larger area of which they are component parts is

designated a Consolidated Metropolitan Statistical Area (CMSA) (7).

In the New England States, the U.S. Office of Management and Budget uses towns and cities rather than counties

as geographic components of MSA's and PMSA's. However, NCHS cannot use this classification for these States

because its data are not coded to identify all towns. Instead, NCHS uses New England County Metropolitan Areas

(NECMA's). Made up of county units, these areas are established by the U.S. Office of Management and Budget (8).

Metropolitan and nonmetropolitan counties--Independent cities and counties included in MSA's and PMSA's or

in NECMA's are included in data for metropolitan counties; all other counties are classified as nonmetropolitan.

Population-size groups--Beginning with the 1994 data year, vital statistics data for cities and certain other urban

places were classified according to the population enumerated in the 1990 Census of Population. Data are available

for individual cities and other urban places of 10,000 or more population. As a result of changes in the enumerated

population between 1980 and 1990, some urban places are no longer identified separately and other urban places have

been added. Data for the remaining areas not separately identified appear under the heading “balance of area” or

“balance of county.” For the years 1982-93 classification of areas was determined by the population enumerated in

the 1980 Census of Population and for the years 1970-81 in the 1970 Census of Population.

Urban places other than incorporated cities include the following:

• Each town in New England, New York, and Wisconsin and each township in Michigan, New Jersey, and

Pennsylvania that had no incorporated municipality as a subdivision and had either 25,000 inhabitants or more, or

a population of 10,000 to 25,000 and a density of 1,000 persons or more per square mile.

• Each county in States other than those indicated above that had no incorporated municipality within its boundary

and had a density of 1,000 persons or more per square mile. (Arlington County, Virginia, is the only county

classified as urban under this rule.)

• Each place in Hawaii with a population of 10,000 or more. (There are no incorporated cities in the State.)

Before 1964 places were classified as “urban” or “rural.” Technical appendixes for earlier years discuss the

previous classification system.

State or country of birth

Mortality statistics by State or country of birth became available beginning with 1979. State or country of birth of

a decedent is assigned to 1 of the 50 States or the District of Columbia; or to Puerto Rico, the Virgin Islands, Guam,

American Samoa, or Northern Marianas--if specified on the death certificate. The place of birth is also tabulated for

Canada, Cuba, Mexico, and for the remainder of the world. Deaths for which information on State or country of birth

was unknown, not stated, or not classifiable accounted for a small proportion of all deaths in 1999, about 0.6 percent.

Early mortality reports published by the U.S. Bureau of the Census contained tables showing nativity of parents

as well as nativity of decedent. Publication of these tables was discontinued in 1933. Mortality data showing nativity

of decedent were again published in annual reports for 1939-41 and for 1950.

Age

The age recorded on the death certificate is the age at last birthday, the same as the age classification used by the

U.S. Bureau of the Census. For 1999 data, 356 resident death records (0.01 percent) contained not-stated age. For

computation of age-specific and age-adjusted death rates, deaths with age not stated are excluded. For life table

computation, deaths with age not stated are distributed proportionately among age categories.

Race

For vital statistics in the United States in 1999, deaths are classified by race--white, black, American Indian,

Chinese, Hawaiian, Japanese, Filipino, and Other Asian or Pacific Islander. Beginning with 1992 data, an expanded

code structure was used for seven States--California, Hawaii, Illinois, New Jersey, New York, Texas, and

Washington--showing five additional Asian or Pacific Islander groups. These groups are Asian Indian, Korean,

Samoan, Vietnamese, and Guamanian. In 1990, at least two-thirds of the U.S. population of each of these groups lived

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

in this seven-State reporting area: Asian Indian, Korean, and Vietnamese, 63-66 percent; Guamanian, 74 percent; and

Samoan, 84 percent (9). Minnesota was added to the list of States reporting expanded race codes in 1995, and

Missouri and West Virginia were added in 1999. This additional race detail is available on the mortality public-use

data set (10). Beginning with 1992 data, all records coded to “Other races” (0.02 percent of the total deaths in 1999)

were assigned to the specified race of the previous record rather than to a separate category called “Other races.”

Mortality data for Filipino and Other Asian or Pacific Islander were shown for the first time in 1979.

The white category includes, in addition to persons reported as white, those reported in the race item on the death

certificate as Hispanic, Mexican, Puerto Rican, Cuban, and all other Caucasians. The American Indian category

includes North, Central, and South American Indian, Eskimo, and Aleut. If the racial entry on the death certificate

indicates a mixture of Hawaiian and any other race, the entry is coded to Hawaiian. If a mixture of races is given

(except Hawaiian), the entry is coded to the first race listed. This procedure has been used since 1990. From 1969

through 1989, if the race was given as a mixture of white and any other race, the entry was coded to the appropriate

nonwhite race. If a mixture of races other than white was given (except Hawaiian), the entry was coded to the first

race listed. Before 1969 if the entry for race was a mixture of black and any other race except Hawaiian, the entry was

coded to black.

Multi-racial--Death certificates for some States have a checkbox for multi-racial. Some States are mandated by

law to code multi-racial as a separate category. For these States, death records with an entry of multi-racial but

without a specified racial entry or entries were assigned to the specified race of the previous record. States not

mandated to code multi-racial may code multi-racial in the same way as mandated States or may code multi-racial to

"Other entries." For death records where race is coded to "Other entries", if origin is Hispanic and the place of birth is

Puerto Rico, Cuba or Mexico, the race is assigned as White. Otherwise, except for Puerto Rico, death records with

race coded to "Other entries" were assigned to the specified race of the previous record with known race. For Puerto

Rico, if race is coded to "Other entries", race is assigned to "Other races."

Race not stated--For 1999 the number of death records for which race was unknown, not stated, or not

classifiable was 2,818 or 0.1 percent of the total deaths. Beginning in 1992 death records with race not stated were

assigned to the specified race of the previous record with known race. From 1965 to 1991 death records with race

entry not stated were assigned to a racial designation as follows: If the preceding record was coded white, the code

assignment was made to white; if the code was other than white, the assignment was made to black. Before 1964 all

records with race not stated were assigned to white except records of residents of New Jersey for 1962-64.

New Jersey, 1962-64--New Jersey omitted the race item from its certificates of live birth and death in the

beginning of 1962. The item was restored during the latter part of 1962. However, the certificate revision without the

race item was used for most of 1962 as well as 1963. Therefore, figures by race for 1962 and 1963 exclude New

Jersey. For 1964, 6.8 percent of the death records used for residents of New Jersey did not contain the race item.

Adjustments made in vital statistics to account for the omission of the race item in New Jersey for part of the

certificates filed during 1962-64 are described in the Technical Appendix of Vital Statistics of the United States for

each of those data years.

Quality of race data--A number of studies have been conducted on the reliability of race reported on the death

certificate. These studies compare race reported on the death certificate with that reported on another data collection

instrument such as the census or a survey. Race information on the death certificate is reported by the funeral director

as provided by an informant, often the surviving next of kin, or, in the absence of an informant, on the basis of

observation. In contrast, race on the census or the Current Population Survey (CPS) is obtained while the individual is

still alive and is self-reported or reported by a member of the household familiar with the individual and, therefore,

may be considered more valid. A high level of agreement between the death certificate and the census or survey

report is essential to ensure unbiased death rates by race.

In one study a sample of approximately 340,000 death certificates was compared with census records for a

4-month period in 1960 (11). Percent agreement was 99.8 percent for white decedents, and 98.2 percent for black

decedents; but less for the smaller minority groups (table A); the net difference in the number of deaths between the

census records and death certificates can be expressed as a ratio of the census to the death certificate. A ratio of 1.00

for both white and black decedents (table A) indicates that the number of deaths for these race groups was essentially

the same for these two sources.

In another study, the National Longitudinal Mortality Study (NLMS), a total of 59,000 death certificates were

compared with responses to the race questions from a total of 9 CPS's conducted by the U.S. Bureau of the Census for

the years 1979-89 (12). The NLMS ratio of CPS deaths to death certificate deaths for white and black decedents was

1.00 as in the earlier study; however, the ratio for American Indian was 1.37 indicating that 37 percent more

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TECHNICAL APPENDIX

decedents were identified as American Indian in the CPS as compared to the death certificate. The ratio for Asians

was 1.13 (table A).

Problems of validity and reliability of race-reporting can also arise from errors in population counts and estimates

that comprise the denominator of death rates. Based on the 1990 Post-Enumeration Survey (13), net census

undercount ratios may be computed. The census undercount ratio is based on the ratio of the 1990 resident

census-level population to the resident population adjusted for the census undercount. A ratio of less than 1.00

indicates a net census undercount. The undercount ratios for non-Hispanic white and Other was 0.99; for the black

population, 0.95; for the Asian or Pacific Islander population, 0.98; and the American Indian population, 0.88 (12).

Generally, misclassification in the numerator data (deaths), taken alone, results in death rates that are too small.

In contrast, the undercoverage problem in the denominator data (population) tends to have the opposite effect: it

biases rates upward. Thus biases from misclassification of race in the numerator and denominator work in opposite

directions, one tending to deflate rates, the other to inflate them. Consequently, a comprehensive estimate of death

rates by race should take into account the offsetting reporting biases in the numerator and denominator. The

approximate effects of reporting bias and undercoverage for the race groups may be estimated by multiplying the

NLMS ratio by the census undercount ratio forming a “combined ratio.” The approximate “combined ratio” for the

white population was 0.99 (1.00 x 0.99); for the black population, 0.95 (1.00 x 0.95); for the American Indian

population, 1.21 (1.37 x 0.88); and for the Asian or Pacific Islander population, 1.11 (1.13 x 0.98). Multiplying a

death rate by the “combined ratio” produces an estimated rate that takes into account both reporting bias and

undercoverage (table B) (12).

In 1986 the National Mortality Followback Survey, conducted by NCHS, listed a question about the race of

decedents 25 years old and over. The total sample was 18,733 decedents (14). The rates of agreement were similar to

those observed in the other studies.

All of these studies show that persons self-reported as American Indian or Asian on census and survey records

(and by informants in the Followback Survey) were sometimes reported as white on the death certificate. The net

effect of misclassification is an underestimation of deaths and death rates for races other than white and black.

Hispanic deaths

Mortality statistics for the Hispanic population are based on information for the entire United States. Data year

1997 was the first year that mortality data for the Hispanic population were available for all 50 States and the District

of Columbia.

Hispanic mortality data were collected from reporting States and published by NCHS for the first time in 1984.

The number of reporting States increased over time as did the quality of reporting. The number of States whose

Hispanic data was considered of sufficient quality for analysis and publication by NCHS is shown by year from 1984-

1999 in table C. Also shown in table C is the estimated percent of the Hispanic population in the United States

accounted for by the reporting States for each year from 1984 to 1999. Table D shows the years in which Hispanic

origin information was first collected from a State and the year the data was considered to be of sufficiently good

quality for analysis and publication. From 1984-1991, Hispanic origin data was considered to be of good quality for

use in analysis if it was sufficiently comparable across States and was at least 90 percent complete on a place-of-

occurrence basis. In 1992, the criterion was changed to 80 percent complete on a place-of-occurrence basis. In 1984,

the percent of deaths for which Hispanic origin was missing or unknown varied widely among reporting States,

ranging from less than one percent in Hawaii to 34.8 percent in Tennessee. Over time the completeness of mortality

data by Hispanic origin has increased dramatically. In 1999, the percent varied little by State, and was low for all

States, the District of Columbia, and New York City, ranging from zero percent in seven States (Idaho, Iowa,

Maryland, Oklahoma, South Dakota, West Virginia, and Wisconsin) to 3.0 percent in North Dakota and 3.5 percent in

New York City.

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TECHNICAL APPENDIX

Generally, reporting States have used items similar to one of two basic formats recommended by NCHS. The first

format is directed specifically toward the Hispanic population and appears on the U.S. Standard Certificate of Death

as follows:

• WAS DECEDENT OF HISPANIC ORIGIN?

(Specify No or Yes--If Yes, specify Cuban, Mexican, Puerto Rican, etc.)

No ___ Yes

Specify:

The second format is a more general ancestry item and appears as follows:

• ANCESTRY--Mexican, Puerto Rican, Cuban, African, English, Irish, German, Hmong, etc., (specify)

Death rates --Death rates for the total Hispanic population and race for non-Hispanic origin utilize

demographically-derived population estimates produced by the Bureau of the Census (15). These estimates are based

on 1990 census level counts; however, revised populations for 1999 that are consistent with the 2000 census levels

are available on the NCHS website at http://www.cdc.gov/nchs/about/major/dvs/popbridge/popbridge.htm

.

Population estimates for Mexicans, Puerto Ricans, Cubans, and Other Hispanics are based in part on the Current

Population Survey and have not been revised (16). Rates using the Current Population Survey are subject to sampling

variation as well as random variation (see “Random variation and sampling errors”).

In 1990 and 1991, data for New York City were excluded because of the large proportion of deaths (in excess of

10 percent) occurring in New York City for which Hispanic origin was not stated or was unknown. Because New

York City accounts for about a third of the deaths to Puerto Ricans, the resulting mortality data was not comparable

with previous years. In 1994 New York City instituted the use of a revised death certificate where the race and ethnic

items were to be completed by the funeral director. Previously these items were completed by the physician or

medical examiner. From 1994-99, only 3-4 percent of the deaths occurring annually in New York City were coded to

Unknown origin; whereas 23 percent were coded to Unknown origin in 1993. Between 1993 and 1994 the number of

deaths occurring in New York City decreased 69 percent for Other and unknown Hispanic and 83 percent for

Unknown origin. As a result of increased specificity in reporting ethnic origin, the number of deaths increased

substantially in 1994 for Non-Hispanic and for each of the specified Hispanic subgroups.

Quality of data on Hispanic deaths--The NLMS examined the reliability of Hispanic origin reported on 43,520

death certificates with that reported on a total of 12 CPS's conducted by the U.S. Bureau of the Census for the years

1979-85 (17). The NLMS ratio of deaths for CPS’s divided by deaths for death certificate was 1.07 indicating net

underreporting of Hispanic origin on death certificates as compared with self-reports on the surveys of 7 percent

(table A). The NLMS ratios for specified Hispanic groups are shown in table A.

Problems of validity and reliability of Hispanic origin-reporting can also arise from errors in population counts

and estimates that comprise the denominator of death rates. Based on the 1990 Post-Enumeration Survey, the

undercount ratio for the total Hispanic population was 0.95 (13).

As was the case for race-reporting, a comprehensive estimate of death rates by Hispanic origin should take into

account the offsetting reporting biases in the numerator and denominator. The approximate effects of reporting bias

and undercoverage for the total Hispanic population may be estimated by multiplying the NLMS ratio by the census

undercount ratio forming a “combined ratio.” The approximate “combined ratio” for the total Hispanic population

was 1.02 (1.07 x 0.95). Multiplying a death rate by the “combined ratio” produces an estimated rate that takes into

account both reporting bias and undercoverage (table B) (12).

Marital status

Mortality statistics by marital status have been published annually since 1979. They were previously published in

Vital Statistics of the United States for 1949-51 and 1959-61. Mortality data by marital status is generally of high

quality. A study of death certificate data using the 1986 National Mortality Followback Survey showed a high level of

consistency in reporting marital status (14). Several earlier reports analyzing mortality by marital status have also

been published, including the special study based on 1959-61 data (18). Reference to other earlier reports is given in

the appendix of part B of the 1959-61 special study.

Mortality statistics by marital status are tabulated separately for never married, married, widowed, and divorced.

Deaths for which the marriage is specified as being annulled are classified as never married. Marital status specified

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TECHNICAL APPENDIX

as separated or common-law marriage is classified as married. Of the 2,350,262 resident deaths 15 years of age and

over in 1999, 9463 certificates (0.4 percent) had marital status not stated.

Death rates -- Death rates for marital status use population estimates produced by the Bureau of the Census based

on the Current Population Survey (16). Because these population estimates are subject to sampling variation, death

rates based on them are subject to both sampling variation as well as random variation (see “Random variation and

sampling errors”).

Educational attainment

Deaths by educational attainment have been included on the public use data sets since 1989. These data were

obtained from information reported on the death certificate using the following item:

• DECEDENT'S EDUCATION (Specify only highest grade completed)

Elementary/Secondary (0-12)

College (1-4 or 5+)

It is recommended for 1999 that analyses of educational attainment data include deaths to residents of 46 States

and the District of Columbia whose data were approximately 80 percent or more complete on a place-of-occurrence

basis. Although data for Kentucky are included on the data set, they would be excluded from analyses because more

than 20 percent of their death certificates were classified to “unknown educational attainment.” Data for Georgia,

Rhode Island, and South Dakota are excluded from the data set because their death certificates did not include an

educational attainment item.

Death rates for educational attainment are based on population estimates derived from the U.S. Bureau of the

Census’ Current Population Survey (CPS) and adjusted to resident population control totals. As a result, the rates are

subject to the variability of the denominator as well as the numerator. For a discussion concerning computing the

relative standard errors, 95-percent confidence intervals, and statistical tests, refer to the Technical notes of the

National Vital Statistics Reports (19).

Death rates for educational attainment may be biased for the following reasons: 1) inconsistencies in reporting

between the death certificates and the CPS for decedents; 2) changes in the basic item used to collect data about

education in the CPS; and 3) possible under-enumeration of the population estimates by educational attainment (there

have been no studies evaluating this potential bias).

In the National Longitudinal Mortality Survey (NLMS) a total of 9,257 death certificates were compared with

responses to educational attainment questions from a total of 12 CPS’s conducted by the U.S. Bureau of the Census

for data year 1989 (20). Based on the results of this study and after proportionally allocating the “unknown education”

on the death certificate, the ratio of CPS deaths having reported less than a high school education (grades 0-11) to

death certificate deaths having reported less than high school education was about 1.37. This indicates that the

number of deaths and death rates for decedents having less than high school education are biased downward in the

vital statistics data by about 37 percent. Similarly, the corresponding ratios for having completed high school (grade

12) and having completed more than high school (grades 13 and more) are 0.70 and 0.87 respectively.

In the CPS, the item used to collect education information was changed in 1992 from:

23a) What is the highest grade or year of regular school ... has ever attended?;

23b) Did ... complete that grade (year?); Yes, No

to:

23) What is the highest level of school ... has completed or the highest degree ... has received?

Based on a Bureau of the Census study (21), the ratio of population estimates derived from the “old” educational

attainment definition for less than a high school education (grades 0-11) to population estimates derived from the

“new” definition for less than high school education was about 0.99. This indicates that the death rates for decedents

having less than high school education are biased upward in the vital statistics data by about 1 percent. Similarly, the

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TECHNICAL APPENDIX

corresponding ratios for having completed high school (grade 12) and having completed more than high school

(grades 13 and more) were 1.15 and 0.93 respectively.

Accounting for both the inconsistency in reporting between the death certificates and the CPS for decedents and

the change in the definition of education population estimates may be accomplished simultaneously by combining the

above ratios. The combined ratio for less than high school is about 1.36 (1.37 x .99), for high school about 0.81 (0.70

x 1.15), and for more than high school about 0.81 (0.87 x .93). These ratios may vary by age, sex, race/Hispanic

origin, cause of death, and geographic area.

Injury at work

Deaths for “Injury at work” were included on the 1993 public-use data sets for the first time. These data were

obtained from the following item that appears on the U.S. Standard Certificate of Death:

• INJURY AT WORK?

(Yes or no)

All States have this item on their death certificates.

Occupation and industry

Deaths by occupation and industry are included on the 1999 public-use data sets and CD-ROM. These data have

been included since 1985 and were obtained from the following items that appear on the U.S. Standard Certificate of

Death:

• DECEDENT’S USUAL OCCUPATION

(Give kind of work done during most of working life.

Do

not

use retired.)

• KIND OF BUSINESS/INDUSTRY

For 1999, the occupation and industry mortality data were included for the following 18 reporting States:

Colorado New Jersey

Georgia New Mexico

Hawaii North Carolina

Idaho Rhode Island

Kansas South Carolina

Kentucky Utah

Nebraska Vermont

Nevada West Virginia

New Hampshire Wisconsin

Data for 1993-99 were coded using the revised NCHS Part 19 instruction manual (22) and the Bureau of the

Census 1990 occupation and industry titles and three-digit codes, which are shown in the 1990 Census of Population

and Housing (23).

Occupation and industry mortality data for 1984-92 were based on the 1980 Bureau of the Census occupation and

industry classifications. For a listing of the changes between the 1980 and the 1990 classification systems, see

Appendix D of the NCHS Part 19 instruction manual (22).

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TECHNICAL APPENDIX

In addition to the codes shown in the Bureau of the Census publication (23), the following special codes were

created:

Occupation

913 Retired

914 Housewife/

Homemaker

915 Student

916 Volunteer

917 Unemployed, never

worked, disabled,

child, infant

999 Blank, Unknown, NA

Place of death and status of decedent

Industry

961 Own Home/At Home

970 Retired

990 Blank, Unknown, NA

Mortality statistics by type of place of death have been shown annually in Vital Statistics of the United States

since 1979. Before that year they were published in 1958 (tables 1-30--1-32). In addition, mortality data also were

available for the first time in 1979 for the status of decedent when death occurred in a hospital or medical center. The

1999 data were obtained from the following two items appearing on the revised U.S. Standard Certificate of Death

(1):

• PLACE OF DEATH (check only one)

HOSPITAL:

 Inpatient  ER/Outpatient  DOA

OTHER:

 Nursing Home  Residence  Other (specify)

• FACILITY NAME (If not institution, give street and number)

Before the 1989 revision of the Standard Certificate of Death, information on place of death and status of

decedent could be determined if hospital or institution indicated Inpatient, Outpatient, ER, or DOA, and if the name of

the hospital or institution, which was used to determine the kind of facility, appeared on the certificate. The change to

a checkbox format in many States for this item may affect the comparability of data for 1989 and subsequent years

with data for years before 1989.

All of the States (including New York City) and the District of Columbia have this item (or its equivalent) on

their certificates. For all reporting States and the District of Columbia in the VSCP, NCHS accepts the State

definition, classification, or code for hospitals, medical centers, nursing homes, or other institutions.

Effective with data for 1980, the coding of place of death and status of decedent was modified. A new coding

category was added: “Dead on arrival--hospital, clinic, or medical center.” Had the 1979 coding categories been used,

these deaths would have been coded to “Place unknown.”

California--For the first 5 months of data year 1989, California coded “Place of death” to “other” rather than

“residence”.

Mortality by month and date of death

Deaths by month have been tabulated regularly and are available for each year since 1900. Deaths from selected

causes by date of death have been published each year since 1972 and are available for 1962.

Numbers of deaths by date of death are produced for the total number of deaths and for the numbers of deaths for

the following causes, for which the greatest interest in date of occurrence of death has been expressed: Motor vehicle

accidents, Intentional self-harm (suicide), Assault (homicide), Influenza and pneumonia, Pedestrian involved in

collision with motor vehicle, and Falls. (See NCHS websites

http://www.cdc.gov/nchs/products/pubs/pubd/vsus/vsus.htm

and

http://www.cdc.gov/nchs/datawh/statab/unpubd/mortabs.htm#general

.)

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TECHNICAL APPENDIX

These data show the frequency distribution of deaths for selected causes by day of week. They also make it

possible to identify holidays with peak numbers of deaths from specified causes.

Report of autopsy

Beginning with the 1995 data year, mortality data on autopsy are no longer collected due to budgetary

constraints.

Cause of death

Cause-of-death classification--Since 1949 cause-of-death statistics have been based on the underlying cause of

death, which is defined as “(a) the disease or injury which initiated the train of events leading directly to death, or (b)

the circumstances of the accident or violence which produced the fatal injury” (24).

For each death the underlying cause is selected from an array of conditions reported in the medical certification

section on the death certificate. This section provides a format for entering the cause of death sequentially. The

conditions are translated into medical codes through use of the classification structure and the selection and

modification rules contained in the applicable revision of the International Classification of Diseases (ICD),

published by the World Health Organization (WHO). Selection rules provide guidance for systematically identifying

the underlying cause of death. Modification rules are intended to improve the usefulness of mortality statistics by

giving preference to certain classification categories over others and/or to consolidate two conditions or more on the

certificate into one classification category.

As a statistical datum, underlying cause of death is a simple, one-dimensional statistic; it is conceptually easy to

understand and a well-accepted measure of mortality. It identifies the initiating cause of death and is therefore most

useful to public health officials in developing measures to prevent the onset of the chain of events leading to death.

The rules for selecting the underlying cause of death are included in ICD as a means of standardizing classification,

which contributes toward comparability and uniformity in mortality medical statistics among countries.

Tabulation lists--Beginning with data year 1999, the cause-of-death statistics published by NCHS are classified

according to the Tenth Revision of the International Classification of Diseases (ICD-10) (24).

Eight lists of causes have been developed by NCHS from ICD-10 for tabulation and publication of mortality

data--the Each-Cause List, List of 358 Selected Causes of Death, List of 113 Selected Causes of Death, List of 130

Selected Causes of Infant Death, List of 39 Selected Causes of Death, List of 124 Selected Causes of Fetal Death, List

of Motor Vehicle Accident Deaths, and List of Injury, Poisoning and Certain Other Consequences of External Causes.

Seven of the lists are used for both underlying and multiple causes of death, and one for multiple causes of death only.

These lists were designed to be as comparable as possible with the NCHS lists used under the Ninth Revision of the

International Classification of Diseases (ICD-9) (25). The lists were developed to separately identify causes of death

specified by the WHO in its recommended mortality tabulation lists; to the extent possible, to maintain continuity

with past lists for historic continuity and to facilitate trend analysis; and to separately identify causes of death that are

of public health and medical importance. With the exception of the Each-Cause List, these lists are published in the

NCHS Instruction Manual, Part 9, ICD-10 Cause-of-Death Lists for Tabulating Mortality Statistics, Effective 1999

(26). The Each-Cause List is available in electronic form on the Internet at

http://www.cdc.gov/nchs/about/major/dvs/icd10des.htm

or upon request from NCHS.

The Each-Cause List is made up of each four-character alphanumeric code in ICD-10 that is to be used for

underlying cause-of-death classification. This list is used for the tabulation of data for the entire United States, Puerto

Rico, Virgin Islands, Guam, American Samoa, and Northern Marianas.

The List of 358 Selected Causes of Death contains, either directly or by combining titles, the 103 categories in

the WHO Mortality Tabulation List 1 and the 80 categories in the WHO Mortality Tabulation List 2 (24). The List of

358 Selected Causes of Death is comparable to the List of 282 Selected Causes of Death in ICD-9.

The List of 113 Selected Causes of Death was, in part, constructed by combining titles in the List of 358 Selected

Causes of Death. It is used for the general analysis of mortality and for ranking leading causes of death excluding

infants (see “Cause-of-death ranking”). It is comparable to the List of 72 Selected Causes of Death in ICD-9.

The

figure in the name of the list refers to the number of mutually exclusive categories in the list. The 113-cause list

contains a total of 135 cause-of-death categories, 113 of which are mutually exclusive.

The List of 130 Selected Causes of Infant Death shows more detailed titles for Certain conditions originating in

the perinatal period and Congenital malformation, deformation and chromosomal abnormalities than any other list

except the Each-Cause List. It is used for the analysis of infant mortality and for ranking leading causes of infant

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TECHNICAL APPENDIX

death (see “Cause-of-death ranking”). It is comparable to the List of 61 Selected Causes of Death in ICD-9. The 130-

cause list contains a total of 158 cause-of-death categories, 130 of which are mutually exclusive.

The List of 39 Selected Causes of Death was created by combining titles in the List of 113 Selected Causes of

Death. This list is used for tabulating data by detailed geographic area. It is comparable to the List of 34 Selected

Causes of Death in ICD-9.

The newly-introduced List of 124 Selected Causes of Fetal Death is used to tabulate causes of fetal death. The

structure of the list parallels that of the List of 130 Selected Causes of Infant Death.

A special List of Motor Vehicle Accident Deaths was developed out of necessity because the ICD-10 categories

for motor vehicle accidents differ substantially from those in ICD-9. In ICD-9 the focus of the motor vehicle accident

section was on the nature of the accident, whereas in ICD-10, the focus is on the victim and the type of vehicle

involved in the accident. This list is designed to maximize comparability with ICD-9 lists for trend comparison.

The List of Injury, Poisoning and Certain Other Consequences of External Causes is used for tabulating the ICD-

9 equivalent of Nature-of-Injury codes. It is derived from Chapter XIX of ICD-10, Injury, Poisoning and Certain

Other Consequences of External Causes. These categories are used for tabulating multiple causes of death, NOT

underlying cause of death. For Chapters I to XVIII and Chapter XX of ICD-10, the same tabulation lists are used for

both underlying and multiple causes of death.

Effect of ICD revisions --The International Classification of Diseases (ICD), used in the United States since 1900,

has been revised approximately every 10 years, with the exception of the Ninth Revision which was used for 20 years,

so that disease classifications may be consistent with advances in medical science and with changes in diagnostic

practice. Each revision of the ICD has produced some break in comparability of cause-of-death statistics. However,

revisions are essential to stay current with advances in medical science and to ensure the international comparability

of health statistics. For the first five revisions the continuity in the mortality trends is not considered a problem of

great concern. Van Buren described some of the major shifts in the cause-of-death statistics up to the Fifth Revision

(1938) due to changes in the classification of causes of death (27). Dunn and Shackley measured the change in

mortality statistics by cause due to the Fifth Revision (28). This was done by coding mortality records for 1940 by the

1929 and 1938 revisions. The results of the study have been useful in evaluating the effects of the Fifth Revision and

changes in the joint-cause selection procedure.

Comparability--Studies of the comparability between revisions of the ICD have been carried out and published at

least since the Fifth Revision. Comparability studies -- also called bridge-coding studies -- involve dual classification

of a single year of mortality data, i.e., classifying the underlying cause of death on mortality records by both the new

revision and the previous revision (29). The key element of a comparability study is the comparability ratio, which is

derived from the dual classification. It is calculated by dividing the number of deaths for a selected cause of death

classified by the new revision by the number of deaths classified to the most nearly comparable cause of death by the

previous revision. The resulting ratio represents the net effect of the new revision on statistics for this cause and can

be used as a factor to adjust mortality statistics for causes of death classified by a previous revision to be comparable

to those for the same cause classified by the new revision.

Sixth Revision--The Sixth Revision of the International Lists of Diseases and Causes of Death was adopted by the

World Health Organization in July 1948 and used for mortality data in the United States from 1949 through 1957.

This revision represented a more sweeping change than any previous revision. The classification scheme was

expanded considerably to provide specific categories for nonfatal diseases and injuries to provide a classification

which could be used for coding morbidity as well as mortality records.

In addition to the expanded scope of the Sixth Revision of the International Classification, there was a major

change in the method of selection of the cause of death for primary tabulation. A large proportion of death certificates

filed annually in the United States reports two or more diseases or conditions as causes of death. General statistical

practice requires that cases involving more than one cause of death be assigned to a single cause, making it necessary

to select the one cause to which the death will be assigned. The method of selection has an important effect upon the

resulting statistics.

In 1948 the World Health Assembly adopted, along with the Sixth Revision of the International Lists, a form of

medical certification and rules for classification of the underlying cause of death for international use. The form of

medical certification in the Standard Certificate of Death was designed to facilitate the selection of the underlying

cause of death when two or more causes were recorded. In general, if the certification was completed properly, the

underlying cause of death entered by the physician was the cause to be tabulated. This procedure, used in the United

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TECHNICAL APPENDIX

States beginning with deaths in 1949, differed markedly from that used in previous years. Formerly, definite priority

relationships were set up for combinations of causes reported on the death certificate. The single cause to be tabulated

was chosen according to these fixed rules.

Comparability between the Sixth and Fifth Revision--To maintain a time series of mortality rates for comparable

causes, the International Conference for the Sixth Revision of the International Lists recommended that deaths for a

country as a whole in 1949 and 1950 be coded according to both the Sixth and Fifth Revisions. In the United States,

1950 mortality data were used for the dual coding. The differences resulting from the use of the two revisions are

expressed by a factor termed the comparability ratio. This is the number of deaths assigned to a particular cause under

the Sixth Revision divided by the number of deaths assigned to that cause using the Fifth Revision. Results of the

comparability study and comparability ratios are published in Comparability of mortality statistics for the Fifth and

Sixth Revisions, United States, 1950, and Comparability ratios based on mortality statistics for the Fifth and Sixth

Revisions, United States, 1950 (30,31).

Seventh Revision--Changes in the Seventh Revision were held to a minimum because of the relatively short

experience with the Sixth Revision. In compliance with a recommendation of the Expert Committee on Health

Statistics, the changes were limited to essential ones and amendments of errors and inconsistencies. Provisions

previously contained in an addendum (32) were integrated into the manual (33). Since these provisions had been used

with the Sixth Revision, they did not represent classification changes. The only change made in three-digit categories

consisted of rewording a few titles. In a few cases the rewording included redefining morbid conditions classifiable to

these categories and transferring certain terms from one category to another. The three-digit categories which were

affected are listed in section 1, volume I, of Vital Statistics of the United States, 1958. There were also a number of

changes in four-digit subcategories, consisting mostly of the addition of subdivisions to provide more detailed

classification of malignant neoplasms of specified sites. The three-digit categories for which there were additions,

deletions, or changes in the four-digit subcategories are also listed in section 1 of the 1958 report.

The international rules for selecting the cause of death for primary mortality classification were recast for use

with the Seventh Revision to simplify them and to organize them from the viewpoint of the coder making the cause-

of-death assignment. The intent of the rules remains the same, that is, to code the cause which the medical certifier

judged to be the underlying cause starting the train of events leading directly to death. In recasting the rules, some

interpretations were modified-mainly those involving selection of the underlying cause for improperly completed

certifications. In adapting coding procedures to reporting practices in the United States, some additional changes in

interpretations were made.

In the majority of cases, application of the rules for the Sixth and Seventh Revisions resulted in the same code

assignment. There were some differences in individual assignments affecting a number of categories. Many of these

individual assignments were compensatory and resulted in no detectable discontinuity of trends for various causes of

death; the comparability of a number of categories was affected to a limited extent.

Comparability between the Seventh and Sixth Revisions--To estimate the magnitude of the effect of the Seventh

Revision upon the comparability of mortality trends for various causes, a 10-percent sample of deaths in 1958 was

classified using both the Sixth and Seventh Revisions. The comparability ratios for selected causes and a discussion

of the results of this study are published in “Comparability of Mortality Statistics for the Sixth and Seventh Revisions,

United States, 1958" (34).

Eighth Revision--During the data years 1968-78 the cause-of-death statistics published by the National Center for

Health Statistics were classified in accordance with the Eighth Revision International Classification of Diseases,

Adapted for Use in the United States (ICDA) (35) which was based on the 1965 Revision of the International

Classification of Diseases (ICD) (36). The ICDA gave greater detail and specificity in some categories than was

provided by the Eighth Revision of the ICD. Complete correspondence between these two classifications was

maintained at the three-digit level, but new four-digit subdivisions were created in various parts of the ICDA. Where

necessary, existing four-digit subdivisions were renumbered to accommodate the additional subcategories in logical

sequence. In the ICDA, subdivisions which did not correspond exactly with the ICD were identified by asterisks. In

Vital Statistics of the United States for each of the years 1968-78 those four-digit subcategory numbers which differed

from those in the ICD were also shown with asterisks.

The Eighth Revision contained major modifications in several sections of the mortality tabulation lists. Also, the

international rules for selecting the underlying cause were simplified. In addition, changes were introduced in the

special rules and decisions which adapted the coding procedures to reporting practices in the United States. The

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important changes are summarized for each of these sections in the introduction to the ICDA, pages xxiv-xxviii.

Following are some of the many changes made:

Infective and parasitic diseases--In the Seventh Revision, list titles for diarrheal conditions were scattered over

several sections of the classification. In the Eighth Revision all the Seventh Revision subdivisions for these

conditions, including those for infants, were brought together under one category, Diarrheal disease (009).

Diseases of the nervous system and sense organs--Vascular lesions affecting central nervous system (330-334) in

the Seventh Revision were transferred in the Eighth Revision to “section VII, Diseases of the circulatory system,”

where they appeared as Cerebrovascular diseases (430-438).

Certain causes of perinatal morbidity and mortality--This section represented an integration of “Section XV,

Certain diseases of early infancy” and Classification of causes of stillbirth (Y30-Y39) in the Seventh Revision.

The age qualifications used in previous revisions to classify the same conditions in or outside this section were

deleted. For example, Pneumonia of newborn (763) of the Seventh Revision was no longer in this section.

Instead, it was included in the Eighth Revision with Pneumonia (480-486), to which pneumonias are assigned

without regard to age.

Accidents, poisonings, and violence--A new subsection (E980-E989) was introduced for the classification of

deaths where it was not possible for the certifier to determine whether the injuries were accidentally or purposely

inflicted.

Comparability between the Eighth and Seventh Revisions--To measure the degree of discontinuity in cause-of-

death statistics resulting from the introduction of the Eighth Revision, provisional estimates of selected comparability

ratios based on dual coding of a stratified sample of 1966 death certificates by the Seventh and Eighth Revisions of

the International Classification of Diseases were computed. These ratios appeared in the Monthly Vital Statistics

Report of the National Center for Health Statistics, Volume 17, Number 8, Supplement; and in Comparability of

Mortality Statistics for the Seventh and Eighth Revisions of the International Classification of Diseases, United

States, Vital and Health Statistics, Series 2, No. 66, DHEW Pub. No. (HRA) 76-1340.

Significant coding changes during the Eighth Revision--Beginning with 1969 a special four-digit subcategory,

Chronic obstructive lung disease (*519.3), was added to obtain the number of certificates on which medical certifiers

had entered this more general term rather than a more specific diagnosis of chronic bronchitis, emphysema, or asthma.

The number of certificates assigned to (*519.3) increased from 2,704 for 1969 to 28,613 for 1978. It is necessary to

add together the number of deaths assigned to this new four-digit category and the number of deaths assigned to

Bronchitis, emphysema, and asthma (ICDA Nos. 490-493) to obtain a measure of mortality from all chronic

obstructive lung diseases.

To provide that deaths would not be assigned to Chronic obstructive lung disease (*519.3) if a more specific

diagnosis such as chronic bronchitis, emphysema, or asthma also appeared on the death certificate, the coding

procedures were updated for 1971 and 1972 data years in accordance with the following linkages:

*519.3 Chronic obstructive lung disease without mention of asthma, bronchitis, or emphysema

Excludes conditions in *519.3 with conditions in:

490 Bronchitis (491) (Chronic bronchitis)

491 (Chronic bronchitis) (491)

492 (Emphysema) (492)

493 (Asthma) (493)

But the limitation imposed by these linkage provisions did not alter the upward trend in the number of deaths assigned

to Chronic obstructive lung disease without mention of asthma, bronchitis, or emphysema (*519.3). The number of

deaths assigned to (*519.3) increased from 6,321 for 1971 to 8,210 for 1972.

Under the Eighth Revision of the ICDA, deaths assigned to chronic obstructive lung disease or chronic

obstructive pulmonary disease were assigned to Other diseases of lung (ICDA No. 519.2). Despite the transfer of

these deaths from this category to the new category Chronic obstructive lung disease (No.*519.3), the number of

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deaths assigned to Other diseases of lung (ICDA No. 519.2) also continued to increase--from 1,306 deaths for 1969 to

2,318 for 1978.

Also beginning with 1971 a special four-digit subcategory (*E854.8) was added to identify Acute narcotism, not

otherwise specified, whether or not the circumstances were undetermined. Also, a preference was given to Drug

dependence (ICDA No. 304) when a statement of drug dependence or a synonymous term appeared on the certificate

with mention of poisoning by certain addictive drugs.

In addition, beginning with 1971 the term “cerebral sclerosis (general)” was classified to Generalized ischemic

cerebrovascular disease (ICDA No. 437) rather than to Other demyelinating diseases of central nervous system

(ICDA No. 341). As a result of this transfer, the number of deaths assigned to this latter category decreased from 569

for 1970 to 96 for 1971.

For 1973 the significant coding changes were concerned with the sudden infant death syndrome (SIDS). NCHS

modified the ICDA and the procedures for classifying information recorded on the death certificate to facilitate the

identification and analysis of data related to known and suspected cases of SIDS. Three fourth-digit subdivisions were

created under ICDA category 795 (Sudden death). These subdivisions together with the inclusion terms are as

follows:

*795.0 Sudden infant death syndrome, under 1 year of age

Acute fatal infant syndrome

Cause unknown

Cot or crib death

Died without sign of disease, so stated

Found dead (in bed, cot, cradle, crib, etc.) (infant)

Infant found in bed

Other unknown and unspecified causes, so stated

SDII, SID, SIDS, SUDI, SUID

Sudden death (in infancy) (infant) (syndrome) (unattended) (unexpected) (unexplained)

Undetermined (cause) (in infancy) (infant)

Unexpected death (in infancy) (infant)

Unexplained death (in infancy) (infant)

Unknown (cause)

*795.1 Sudden death syndrome, 1 year of age

The same terms under *795.0 when age is 1 year

*795.2 All other sudden deaths, age 2 years and over

Died suddenly Fell dead

Dropped dead Sudden death

Ninth Revision--From 1979-98 cause of death statistics were classified by NCHS in accordance with the Ninth

Revision (25). The Classification in the Ninth Revision, as in the Eighth Revision, was arranged in 17 main sections

or chapters. The first chapter dealt with diseases caused by well-defined infectious and parasitic agents. The next two

chapters dealt with categories for Neoplasms and for Endocrine, nutritional and metabolic diseases and immunity

disorders. Most of the remaining chapters were arranged according to the principal anatomical sites of diseases with

special chapters for Mental disorders; Complications of pregnancy, childbirth, and the puerperium; Congenital

anomalies; Certain conditions originating in the perinatal period; and a chapter for Symptoms, signs, and ill-defined

conditions.

The last chapter (XVII), Injury and poisoning, represented a decided departure from the corresponding chapter in

previous revisions. The role of the E code for external causes was changed. In the Sixth, Seventh, and Eighth

Revisions, chapter XVII-Accidents, poisonings, and violence-consisted of two alternative classifications, one

according to the nature of the injury (the N code), and the other according to the external cause (the E code). In the

Ninth Revision, chapter XVII consists only of titles for nature of injury as part of the main classification. The N

prefix that was used before the category numbers for these titles in the Eighth Revision was dropped. In the Ninth

Revision the E code was a supplementary classification. For underlying cause of death, where both an E code and

another code were applicable, the E code was still used when the other code was from chapter XVII. When the other

code was from chapters I-XVI, that code and not the E code was used.

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In many ways, the Ninth and the Eighth Revisions are similar. The essential basis of the Eighth Revision was

retained as much as possible (37). Thus, overall blocks of classification numbers previously allocated to each chapter

were retained. The Ninth Revision is, however, more specific. Thus, many Eighth Revision category numbers were

split into more fourth-digit subcategories. In addition, categories and subcategories not found in the Eighth Revision

were added to the Ninth Revision.

Following are some of the major changes between the Eighth and Ninth Revisions, applicable to underlying cause

coding in the United States. They are arranged according to the chapters in the Ninth Revision of the ICD.

I. Infectious and parasitic diseases--Under the Ninth Revision, colitis, diarrhea, enteritis, and gastroenteritis,

without further specification, were assumed to be of noninfectious origin and are classified to chapter IX, Diseases of

the digestive system. In the Eighth Revision, unless stated to be noninfectious or due to a noninfectious condition,

they were assumed to be of infectious origin and were coded to chapter I, Infective and parasitic diseases. This change

transferred deaths that were assigned by the Eighth Revision to Diarrheal diseases (ICDA No. 009) to the Ninth

Revision title Other noninfective gastroenteritis and colitis (ICD No. 558).

A section pulling together all late effects of infectious and parasitic diseases was added to chapter I in the Ninth

Revision. In the Eighth Revision a few conditions had special late effects codes; for certain other conditions late

effects were coded to the resulting chronic condition; for the remaining conditions in chapter I, late effects were

coded to the regular code for the infectious or parasitic disease.

II. Neoplasms--A new section, Neoplasms of uncertain behavior (ICD Nos. 235-238), was added to this chapter.

III. Endocrine, nutritional, and metabolic diseases and immunity disorders--A separate category for Alzheimer’s

disease (ICD No.331.0)--was added to this chapter.

VII. Diseases of the circulatory system--According to the Ninth Revision, Cardiovascular disease, unspecified (ICD

No. 429.2) was separated from Ischemic heart disease (ICD Nos. 410-414).

The Ninth Revision transferred Heart failure, unspecified (ICD No. 428.9) to this chapter--Diseases of the

circulatory system--from the Eighth Revision chapter XVI, Symptoms and ill-defined conditions (ICDA Nos. 780-

796), where it appeared as Acute heart failure, undefined (ICDA No. 782.4).

VIII. Diseases of the respiratory system--New titles were added for respiratory conditions including Pneumonitis due

to solids and liquids (ICD No. 507); and Chronic airways obstruction, not elsewhere classified (ICD No. 496).

The deaths assigned by the Eighth Revision to Chronic obstructive lung disease without mention of asthma,

bronchitis, or emphysema (*519.3), a subtitle first introduced by NCHS for deaths occurring in 1969, were transferred

to the Ninth Revision title Chronic airways obstruction, not elsewhere classified (ICD No. 496).

XV. Certain conditions originating in the perinatal period--This chapter was extensively revised, including the

change in title.

XVI. Symptoms, signs, and ill-defined conditions--Many inclusion terms for this chapter were transferred to chapters

I-XV.

Comparability between the Ninth and Eighth Revisions--As between the Eighth and the Seventh Revisions, a dual

coding study was undertaken between the Ninth and the Eighth Revisions to measure the extent of discontinuity in

cause-of-death statistics resulting from introducing the new Revision. An initial study was published for the list of 72

causes and the list of 10 infant causes, both of which appear in the Monthly Vital Statistics Report (38).

Significant coding changes under the Ninth Revision--Following the implementation of ICD-9 in data year in

1979, several coding changes were introduced that are described in detail in Vital Statistics of the United States for

the years in which they were introduced (see NCHS website http://www.cdc.gov/nchs/datawh/statab/pubd/ta.htm).

The more important changes were: In early 1983 a change that affected data from 1981 to 1986 was made in the

coding of Acquired immunodeficiency syndrome and HIV infection. Also effective with data year 1981 was a coding

change for Poliomyelitis. For data year 1982, the definition of child was changed (which affects the classification of

deaths to a number of categories, including Child battering and other maltreatment), and guidelines for coding deaths

to the category Child battering and other maltreatment (ICD-9 No. E967) were changed also. During the calendar year

1985, detailed instructions for coding Motor vehicle accidents involving all-terrain vehicles were implemented to

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ensure consistency in coding these accidents. Effective with data year 1986, “Primary” and “Invasive” tumors,

unspecified, were classified as “Malignant”; these neoplasms had been classified to Neoplasms of unspecified nature

(ICD-9 No. 239).

Beginning with data for 1987, NCHS introduced new category numbers *042-*044 for classifying and coding

HIV infection, formerly referred to as Human T-cell lymphotropic virus-III/lymphadenopathy associated virus

(HTLV-III/LAV) infection. The asterisks appearing before the categories indicated that the codes were not part of

ICD-9. Also changed effective with data year 1987 were coding rules for the conditions “dehydration” and

“disseminated intravascular coagulopathy.” Effective with data year 1988, minor content changes were made to the

classification for HIV infection. Detailed discussion of these changes may be found in the Technical Appendix from

Vital Statistics of the United States, 1988.

Tenth Revision-- Cause-of-death statistics beginning with 1999 are classified by NCHS in accordance with the

Tenth Revision (24). The Tenth Revision has many changes from the Ninth Revision, including considerably greater

detail, shifts of inclusion terms and titles from one category, section, or chapter to another; regroupings of diseases;

new titles and sections; and modifications in coding rules.

The Tenth Revision uses a four-character alphanumeric coding scheme compared with the four-digit numeric

codes used in the Ninth Revision. Each of the 21 chapters of the Tenth Revision is classified to a letter or letters of the

alphabet (29). The four-character alphanumeric coding scheme used with the Tenth Revision allows a larger number

of codes than the four-digit numeric scheme used with Ninth Revision. Chapters of the ICD have been added and

rearranged. Diseases of the nervous system and sense organs in chapter VI of the Ninth Revision was divided into

three chapters in the Tenth Revision: chapter VI, Diseases of the nervous system; chapter VII, Diseases of the eye and

adnexa; and chapter VIII, Diseases of the ear and mastoid process. Also, External causes of morbidity and mortality

and Factors influencing health status and contact with health services, which were supplementary classifications in

the Ninth Revision, have been assigned as chapters XX and XXI, respectively, in the Tenth Revision. Chapters III

(Endocrine, nutritional and metabolic diseases and immunity disorders) and IV (Diseases of the blood and

bloodforming organs) in the Ninth Revision are exchanged in the Tenth Revision. Chapter IV now contains the

endocrine, nutritional and metabolic diseases, and chapter III contains the diseases of blood and blood-forming

organs. Immune disorders remain in chapter III. Diseases of the genitourinary system (previously chapter X) and

Complications of pregnancy, childbirth, and the puerperium (previously chapter XI) have become chapters XIV and

XV, respectively, in the Tenth Revision. Cause-of-death titles have been changed and regrouped. Examples of title

changes include the title Chronic obstructive pulmonary diseases and allied conditions in the Ninth Revision which

became Chronic lower respiratory diseases in the Tenth Revision. Suicide in the Ninth Revision became Intentional

self-harm, and Homicide became Assault in the Tenth Revision.

Notable regroupings include some cerebrovascular disorders, specifically transient cerebral ischemic attacks,

which have been moved from Diseases of the circulatory system (ICD–9 code 435) to Diseases of the nervous system

(ICD–10 codes G45.8 and G45.9). Septic shock, classified in the Ninth Revision as Shock without mention of trauma

(785.5) in Symptoms, signs, and ill-defined conditions, is classified in the Tenth Revision as Unspecified septicemia

(A41.9) in chapter I (Certain infectious and parasitic diseases). Respiratory failure (799.1) was moved from

Symptoms, signs, and ill-defined conditions to Diseases of the respiratory system (J96). Myelodysplastic syndromes

were moved from Diseases of the blood and blood-forming organs (289.8) to Neoplasms of uncertain behavior (D46).

End stage renal disease, classified under Other disorders of kidney and ureter in ICD–9 (593.9), has been reclassified

in the Tenth Revision as Renal failure (N18.0). Transport accidents have been regrouped by the characteristics of the

injured person (e.g., pedestrian, pedal cyclist, motorcycle rider, car occupant). In ICD–9, transport accidents were

grouped by the type of vehicle involved in the accident.

Comparability between the Tenth and Ninth Revisions-- Discontinuities between the Ninth and Tenth Revisions

of the ICD for selected causes of death are measured using comparability ratios. Comparability ratios for the List of

113 Selected Causes of Death and the List of 130 Selected Causes of Infant Death are shown in tables E and F,

respectively. Interpretation of comparability ratios is problematic for some causes because the ratio does not

accurately account for differences in the coding and classification system and thus does not adequately reflect the

degree of discontinuity. Causes of death from the List of 113 Selected Causes of Death and the List of 130 Selected

Causes of Infant Death that have been determined to have problematic comparability issues include Alzheimer’s

disease, Nephritis, nephrotic syndrome and nephrosis and Renal failure, Pregnancy, childbirth and the puerperium,

Motor vehicle accidents and Other land transport accidents, Diarrhea and gastroenteritis of infectious origin, Birth

trauma, Atelectasis, and Sudden infant death syndrome. For a detailed explanation of the problems in applying

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comparability ratios to selected causes, refer to Comparability of cause of death between ICD-9 and ICD-10:

Preliminary estimates (29) and Deaths: Final data for 1999 (19).

Medical certification--The use of a standard classification list, although essential for State, regional, and

international comparison, does not ensure strict comparability of the tabulated figures. A high degree of comparability

among areas could be attained only if all records of cause of death were reported with equal accuracy and

completeness. The medical certification of cause of death can be made only by a qualified person, usually a physician,

a medical examiner, or a coroner. Therefore, the reliability and accuracy of cause-of-death statistics are, to a large

extent, governed by the ability of the certifier to make the proper diagnosis and by the care with which he or she

records this information on the death certificate.

A number of studies have been undertaken on the quality of medical certification on the death certificate. In

general, these have been for relatively small samples and for limited geographic areas. A bibliography prepared by

NCHS (39), covering 128 references over 23 years, indicates no definitive conclusions have been reached about the

quality of medical certification on the death certificate. No country has a well-defined program for systematically

assessing the quality of medical certifications reported on death certificates or for measuring the error effects on the

levels and trends of cause-of-death statistics.

One index of the quality of reporting causes of death is the proportion of death certificates coded to the Tenth

Revision, Chapter XVIII, Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified

(ICD-10 codes R00-R99). Although some deaths occur for which it is impossible to determine the underlying cause,

this proportion generally indicates the care and consideration given to the certification by the medical certifier. This

proportion also may be used as a rough measure of the specificity of the medical diagnoses made by the certifier in

various areas. In 1999, 1.12 percent of all reported deaths in the United States were assigned to this category. The

percent of deaths assigned to the comparable ICD-9 category was fairly stable from 1990 through 1999, between 1.08

and 1.18 percent; but was higher in earlier years, 1.25 percent in 1989 and between 1.43 and 1.51 percent from 1979

to 1988.

Automated selection of underlying cause of death--Before data for 1968, mortality medical data were based on

manual coding of an underlying cause of death for each certificate in accordance with WHO rules. Effective with data

year 1968, NCHS converted to computerized coding of the underlying cause and manual coding of all causes

(multiple causes) on the death certificate. In this system, called Automated Classification of Medical Entities (ACME)

(40), the multiple cause codes serve as inputs to the computer software that employs WHO rules to select the

underlying cause. The ACME system applies the same rules for selecting the underlying cause as would be applied

manually by a nosologist; however, under this system, the computer consistently applies the same criteria, thus

eliminating inter-coder variation in this step of the process.

The ACME computer program requires the coding of all conditions shown on the medical certification. These

codes are matched automatically against decision tables that select the underlying cause of death for each record

according to the international rules. The decision tables provide the comprehensive relationships among the

conditions classified by ICD when applying the rules of selection and modification.

The decision tables were developed by NCHS staff on the basis of their experience in coding underlying causes

of death under the earlier manual coding system and as a result of periodic independent validations. These tables

periodically are updated to reflect additional new information on the relationship among medical conditions. For data

year 1988, these tables were amended to incorporate minor changes to the previously mentioned classification for

HIV infection (*042-*044) that originally had been implemented with data year 1987. Coding procedures for

selecting the underlying cause of death by using the ACME computer program, as well as by using the ACME

decision tables, are documented in NCHS instruction manuals (41-43).

Beginning with data year 1990, another computer system was implemented for automating cause-of-death coding.

This system, called Mortality Medical Indexing, Classification, and Retrieval (MICAR) (44,45), automates coding

multiple causes of death. Because MICAR automates multiple-cause coding rules, errors in recognizing terms,

applying coding rules, and using the ICD index are eliminated. The use of the MICAR system ensures consistent

application of multiple-cause coding rules, which is especially important for rules that are complex and infrequently

applied. In addition, MICAR can provide more detailed information on the conditions reported on death certificates

than is available through the ICD category structure (46). At the same time MICAR was developed, a complementary

data entry system was also developed, referred to as PC-MICAR. In the first year of implementation, only about 5

percent of the Nation's death records were coded using PC-MICAR and MICAR with subsequent processing of all

records through ACME. The percentage of death records coded using MICAR and PC-MICAR increased to 26

percent in 1991 and to 35 percent in 1992.

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Beginning with data year 1993, another computer system was implemented for automating cause-of-death coding.

This system, called Super-MICAR, is an enhancement of the PC-MICAR data entry system, which allows for total

literal entry of the multiple cause-of-death text as reported by the certifier. This information is automatically coded by

the MICAR and ACME computer systems. In the first year of implementation, about 9 percent of the Nation’s death

records were coded using Super-MICAR and 59 percent were coded using PC-MICAR, all with subsequent

processing through MICAR and ACME. These percentages increased to 12 and 72 percent, respectively, in 1994; to

14 and 74 percent in 1995; and to 27 and 73 percent in 1996. Thus by 1996, 100 percent of the nation’s records were

coded using MICAR programs with subsequent processing through ACME. In each of the following years, the

percentage of records coded using Super-MICAR increased, while the percentage of records coded using PC-MICAR

decreased. Super-MICAR was used to code 29 percent of the records in 1997, 36 percent in 1998, and 52 percent in

1999. PC-MICAR was used to code 71 percent of the records in 1997, 64 percent in 1998, and 48 percent in 1999.

States whose data were coded by PC-MICAR in 1999 included Arizona, District of Columbia, Florida, Georgia,

Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Missouri, Nebraska, New Jersey, New York (excluding

New York City), New York City, North Carolina, North Dakota, Ohio, Pennsylvania, South Carolina, South Dakota,

Texas, Vermont, Washington, and West Virginia. For these States, MICAR processed about 88 percent of the

mortality records with an average system error rate of 0.23 on an underlying cause basis and 0.46 on a multiple-cause

basis. Records that MICAR was unable to process were coded manually and then processed using ACME.

States using Super-MICAR in 1999 included Alabama, Alaska, Arkansas, California, Colorado, Connecticut,

Delaware, Hawaii, Idaho, Iowa, Maine, Massachusetts, Michigan, Minnesota, Mississippi, Montana, Nevada, New

Hampshire, New Mexico, Oklahoma, Oregon, Rhode Island, Tennessee, Utah, Virginia, Wisconsin, and Wyoming.

For these States, Super-MICAR processed about 75 percent of the mortality records with an average system error rate

of 0.37 on an underlying cause basis and 0.74 on a multiple-cause basis. Records that Super-MICAR was unable to

process were coded manually and then processed using ACME.

Codes for firearm deaths

Causes of death attributable to firearm mortality include ICD-10 codes W32-W34, Accidental discharge of

firearms; X72-X74, Intentional self-harm (suicide) by discharge of firearms; X93-X95, Assault (homicide) by

discharge of firearms; Y22-Y24, Discharge of firearms, undetermined intent; and Y35.0, Legal intervention involving

firearm discharge. Deaths from injury by firearms exclude deaths due to explosives and other causes indirectly related

to firearms.

Codes for drug-induced deaths

Causes of death attributable to drug-induced mortality include selected codes from the ICD-10 title Mental and

behavioral disorders due to psychoactive substance use, specifically, ICD-10 codes F11.0-F11.5, F11.7-F11.9,

F12.0-F12.5, F12.7-F12.9, F13.0-F13.5, F13.7-F13.9, F14.0-F14.5, F14.7-F14.9, F15.0-F15.5, F15.7-F15.9,

F16.0-F16.5, F16.7-F16.9, F17.0, F17.3-F17.5, F17.7-F17.9, F18.0-F18.5, F18.7-F18.9, F19.0-F19.5, and

F19.7-F19.9; Accidental poisoning by and exposure to drugs, medicaments and biological substances, X40-X44;

Intentional self-poisoning (suicide) by and exposure to drugs, medicaments and biological substances, X60-X64;

Assault (homicide) by drugs, medicaments and biological substances, X85; and Poisoning by and exposure to drugs,

medicaments and biological substances, undetermined intent, Y10-Y14. Drug-induced causes exclude accidents,

homicides, and other causes indirectly related to drug use. Also excluded are newborn deaths associated with

mother’s drug use.

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Codes for alcohol-induced deaths

Causes of death attributable to alcohol-induced mortality include ICD-10 codes F10, Mental and behavioral

disorders due to alcohol use; G31.2, Degeneration of nervous system due to alcohol; G62.1, Alcoholic

polyneuropathy; I42.6, Alcoholic cardiomyopathy; K29.2, Alcoholic gastritis; K70, Alcoholic liver disease; R78.0,

Finding of alcohol in blood; X45, Accidental poisoning by and exposure to alcohol; X65, Intentional self-poisoning

by and exposure to alcohol; and Y15, Poisoning by and exposure to alcohol, undetermined intent. Alcohol-induced

causes exclude accidents, homicides, and other causes indirectly related to alcohol use. This category also excludes

newborn deaths associated with maternal alcohol use.

Maternal deaths

Maternal deaths are those for which the certifying physician has designated a maternal condition as the

underlying cause of death. Maternal conditions are those assigned to Complications of pregnancy, childbirth, and the

puerperium (ICD-10 codes O00-O95, O98-O99, and A34).

"Maternal deaths” are defined by the World Health Organization as "the death of a women while pregnant or

within 42 days of termination of pregnancy, irrespective of the duration and the site of the pregnancy, from any cause

related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes" (24).

Maternal mortality rates are computed on the basis of the number of live births. The maternal mortality rate

indicates the likelihood of a pregnant woman dying of maternal causes. The number of live births used in the

denominator is an approximation of the population of pregnant women who are at risk of a maternal death.

Changes were made in the classification and coding of maternal deaths between ICD-9 and ICD-10, effective

with mortality data for 1999. Some State death certificates include a separate question regarding pregnancy status. A

positive response to the question is interpreted as "pregnant" being reported in Part II of the cause-of-death section of

the death certificate. If a specified length of time is not provided by the medical certifier, it is assumed that the

pregnancy terminated 42 days or less prior to death. Further, if only indirect maternal causes of death (i.e. a

previously existing disease or a disease that developed during pregnancy which was not due to direct obstetric causes

but was aggravated by physiologic effects of pregnancy) are reported in Part I and pregnancy is reported in either Part

I or Part II, ICD-10 classifies this as a maternal death. ICD-9 only classified the death as maternal if pregnancy was

reported in Part I.

Under the Eighth Revision, maternal deaths were assigned to the category “Complications of pregnancy,

childbirth, and the puerperium” (Eighth Revision International Classification of Diseases, Adapted for Use in the

United States (ICDA-8) Nos. 630-678). Although WHO did not define maternal mortality, an NCHS classification

rule existed that limited the definition of a maternal death to a death that occurred within a year after termination of

pregnancy from any “maternal cause,” that is, any cause within the range of ICDA-8 Nos. 630-678. This rule applied

only if a duration was given for the condition. If no duration was specified and the underlying cause of death was a

maternal condition, the duration was assumed to be within a year and the death was coded by NCHS as a maternal

death. The change from an under-1-year limitation for duration used in the Eighth Revision to an under-42-days

limitation used in the Ninth Revision did not have much effect on the comparability of maternal mortality statistics.

However, comparability was affected by the following classification change: Under the Ninth Revision, maternal

causes of death were expanded to include Indirect obstetric causes (ICD-9 Nos. 647-648). These causes included

Infective and parasitic conditions as well as other conditions present in the mother and classifiable elsewhere but that

complicate pregnancy, childbirth, and the puerperium, such as Syphilis, Tuberculosis, Diabetes mellitus, Drug

dependence, and Congenital cardiovascular disorders.

Race--Beginning with the 1989 data year, NCHS changed the method of tabulating live birth data by race from

race of child, which was determined from the race of the parents, to race of mother. This resulted in a discontinuity in

maternal mortality rates by race between 1989 to present and previous years; see “Change in tabulation of race data

for live births,” under “Infant deaths” in the Technical Appendix from Vital Statistics of the United States, 1990, or

the series report, “Effect on Mortality Rates of the 1989 Change in Tabulating Race” (47).

Infant deaths

Age--Infant death is defined as a death under 1 year of age. The term excludes fetal deaths. Infant deaths usually

are divided into two categories according to age, neonatal and postneonatal. Neonatal deaths are those that occur

during the first 27 days of life; postneonatal deaths are those that occur between 28 days and 1 year of age. Generally,

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

it has been believed that different factors influencing the child's survival predominate in these two periods: Factors

associated with prenatal development, heredity, and the birth process were considered dominant in the neonatal

period; environmental factors, such as nutrition, hygiene, and accidents, were considered more important in the

postneonatal period. Recently, however, the distinction between these two periods has blurred due in part to advances

in neonatology, which have enabled more very small premature infants to survive the neonatal period.

Rates--Infant mortality rates are the most commonly-used indices for measuring the risk of dying during the first

year of life; they are calculated by dividing the number of infant deaths in a calendar year by the number of live births

registered for the same period and are presented as rates per 1,000 or per 100,000 live births. Infant mortality rates use

the number of live births in the denominator to approximate the population at risk of dying before the first birthday.

This measure is an approximation because some live births will not have been exposed to a full year's risk of dying

and some of the infants who die during a year will have been born in the previous year. The error introduced in the

infant mortality rate by this inexactness is usually small, especially when the birth rate is relatively constant from year

to year (48,49). Other sources of error in the infant mortality rate have been attributed to differences in applying the

definitions for infant death and fetal death when registering the event (50-52).

In contrast to infant mortality rates based on live births, infant death rates are based on the estimated population

under 1 year of age. Infant death rates, which appear in tabulations of age-specific death rates, are calculated by

dividing the number of infant deaths in a calendar year by the estimated midyear population of persons under 1 year

of age and are presented as rates per 100,000 population in this age group. Patterns and trends in the infant death rate

may differ somewhat from those of the more commonly used “infant mortality rate,” mainly because of differences in

the nature of the denominator and in the time reference. Whereas the population denominator for the infant death rate

is estimated using data on births, infant deaths, and migration for the 12-month period of July-June, the denominator

for the infant mortality rate is a count of births occurring during the 12 months of January-December. The difference

in the time reference can result in different trends between the two indices during periods when birth rates are moving

up or down markedly.

The infant death rate also is subject to greater imprecision than is the infant mortality rate because of problems of

enumerating and estimating the population under 1 year of age (51).

Change in tabulation of race data for live births--Beginning with the 1989 data year, NCHS changed the method

of tabulating live-birth data by race from race of child, which was determined from the race of the parents, to race of

mother. As in previous years, race for infant and maternal deaths (the numerator of the rate) is tabulated by the race of

the decedent. Because live births comprise the denominator of infant and maternal mortality rates, this change

resulted in a discontinuity in rates between 1989 to present, and those for previous years. For additional information,

see the Technical Appendix from Vital Statistics of the United States, 1990, or the series report, “Effect on Mortality

Rates of the 1989 Change in Tabulating Race” (47).

Comparison of race data from birth and death certificates--Regardless of whether vital events are tabulated by

race of mother or by race of parents, studies in which race on the birth and death certificates for the same infant were

compared find inconsistencies in reporting race between birth and death certificates (53).

These reporting inconsistencies can result in systematic biases in infant mortality rates by specified race, in

particular, underestimates for specified races other than white or black. In the computation of race-specific infant

mortality rates, the race item for the numerator comes from the death certificate, and for the denominator, from the

birth certificate. Biases in the rates may arise because of possible inconsistencies in reporting race on these two vital

records. Race of the mother and father is reported on the birth certificate by the mother at the time of delivery;

whereas race of the deceased infant is reported on the death certificate by the funeral director based on observation or

on information supplied by an informant, such as a parent. Previous studies have noted the race for an infant who died

and was of a smaller minority race group is sometimes reported as white on the death certificate but is reported as the

minority race group on the birth certificate, resulting, in the aggregate, in understatement of infant mortality for

smaller race groups, for example, American Indian (12).

Estimates can be made of the degree of bias in race-specific infant mortality rates by comparing rates for which

race is based on the death certificate of the infant with rates in which race is based on race of mother from the birth

certificate. In table G these comparisons are made for the years 1995 and 1996 combined. A measure of reliability is

the ratio of race reported on the linked file (race of mother from the birth certificate) to the race of the child reported

on the death certificate. The ratio for white infants is 1.00; for black 0.97 indicating a good net correspondence in race

from the two sources. However, for American Indians the ratio is 1.14 indicating that rates where race is based on the

birth certificate are 14 percent higher than those based on the death certificate. Ratios among specific populations

groups of Asian Americans varied greatly. Understatement was greatest for Japanese infants with a ratio of 2.04,

indicating that infant mortality rates based on birth certificate information are over twice as high as those based on

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

death certificates. The ratios for Filipinos were 1.68, and for Chinese, 1.21. The ratio for Hawaiians was 0.85,

indicating a higher rate based on death certificates, possibly because on death records on which Hawaiian was

reported in combination with another race, coding procedures always give preference to Hawaiian (12).

Hispanic origin—For 1999, infant mortality rates for the Hispanic-origin population are based on numbers of

resident infant deaths reported to be of Hispanic origin (see “Hispanic origin”) and numbers of resident live births by

Hispanic origin of mother for the 50 States and the District of Columbia. In computing infant mortality rates, deaths

and live births of unknown origin are not distributed among the specified Hispanic and non-Hispanic groups. Because

the percent of infant deaths of unknown origin for 1999 was 1.7 percent and the percent of live births of unknown

origin was 1.2 percent, infant mortality rates by specified Hispanic origin and race for non-Hispanic origin may be

slightly underestimated.

Small numbers of infant deaths for specific Hispanic-origin groups can result in infant mortality rates subject to

relatively large random variation (see “Random variation and sampling errors”).

Table H shows comparisons for infant mortality rates for Hispanic origin where Hispanic origin is based on death

certificate identification of the infant or on birth certificate information on the Hispanic origin of the mother (the

linked file) for 1996. For total Hispanic origin infants, the ratio was 1.05 indicating that rates are about 5 percent

higher using the race of mother from the birth certificate (linked file). For Mexican and Cuban, the rates were about

the same (ratios of 1.00 and 1.02, respectively), but rates for Puerto Rican infants were 12 percent higher when

Hispanic origin was based on the birth certificate (12).

Tabulation list--Causes of death for infants are tabulated according to a list of causes that is different from the list

of causes for the population of all ages, except for the Each Cause List. (See “Cause-of-death classification” under

“Cause of death.”)

Quality of data

Completeness of registration

All States have adopted laws requiring the registration of births and deaths. It is believed that more than 99

percent of the births and deaths occurring in this country are registered.

Massachusetts data--The 1964 statistics for deaths exclude approximately 6,000 deaths registered in

Massachusetts, primarily to residents of that State. Microfilm copies of these records were not received by NCHS.

Figures for the United States and the New England Division are affected also.

Quality control procedures

Demographic items on the death certificate--As previously indicated, for 1999 the mortality data for these items

were obtained from two sources--photocopies of the original certificates furnished by Guam, American Samoa, and

Northern Marianas, and electronic data records furnished by the 50 States, the District of Columbia, New York City,

Puerto Rico, and the Virgin Islands. For Guam, American Samoa, and Northern Marianas, which sent only copies of

the original certificates, the demographic items were coded for 100 percent of the death certificates. The demographic

coding for each of these certificates was independently verified.

For areas sending electronic data records, a sample of 50 - 100 records per month for each registration area is

used to monitor quality of coding. Under this procedure, each sample record is independently coded by NCHS staff

and compared to the State code assignments. NCHS/State differences are adjudicated to ascertain the source of the

error and need for corrective action. The estimated average outgoing error rate for all demographic items in 1999 was

0.25 percent. The error rate is a combined measure of State coding, key entry and processing errors made in the

process of preparing the statistical file. These types of errors are not necessarily randomly distributed in the file and

may therefore escape detection through sample verification. To reduce some systematic errors other NCHS

procedures such as detailed computer edits, tabular evaluation, and procedure review are used.

Medical items on the death certificate--The same procedures used for demographic data are used for the medical

items except that a larger sample, 100 – 175 records per month, is used to monitor the quality of coding medical

items. For Arizona, Illinois, Kentucky, Missouri, New Jersey, Ohio, West Virginia, District of Columbia, New York

City, Puerto Rico, Virgin Islands, Guam, American Samoa, and the Northern Marianas, which sent only copies of the

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

original certificates, the medical data were coded for 100 percent of the death certificates using either PC-MICAR or

Super-MICAR. The death entry is independently verified for 10 percent of the file using a three-way comparison. For

the 43 registration areas sending electronic files and for the files entered at NCHS, the average outgoing error rate in

1999 was estimated at 2.50 percent for underlying cause data, and 4.70 percent for multiple cause-of-death data.

Rare causes of death--Selected causes of death considered to be of public health concern are routinely confirmed

by the States according to agreed upon procedures between the State vital statistics programs and the National Center

for Health Statistics. These causes, termed “Infrequent and Rare Causes of Death,” are listed in the NCHS instruction

manuals Parts 2a, 11, and 20 (41,54,55).

As a consequence of the major effort involved in implementing a new revision of the ICD, a number of States did

not provide complete confirmation of deaths from Infrequent and rare causes for 1999. These States include the

following: California, Florida, Illinois, Indiana, Kentucky, Maine, Michigan, Missouri, New Jersey, New York City,

North Carolina, Ohio, Pennsylvania, Rhode Island, Washington, and West Virginia.

Other control procedures--After coding and data entry are completed, record counts are balanced against control

totals for each shipment of records from a registration area. Editing procedures ensure that records with inconsistent

or impossible codes are modified. Inconsistent codes are those, for example, indicating a contradiction between cause

of death and age or sex of the decedent. Records so identified during the computer editing process are either corrected

by reference to the source record or adjusted by arbitrary code assignment (54). All subsequent operations in

tabulating and in preparing tables are verified during the computer processing or by statistical clerks.

Estimates of errors arising from 50-percent sample for 1972--Death statistics for 1972 are based on a 50-percent

sample of all deaths occurring in the 50 States and the District of Columbia. A description of the sample design and a

table of the percent errors of the estimated numbers of deaths by size of estimate and total deaths in the area are

shown in the Technical Appendix from Vital Statistics of the United States, 1972.

Computation of rates and other measures

Population bases

Population bases from which death rates are computed are prepared by the U.S. Bureau of the Census. Rates for

1940, 1950, 1960, 1970, 1980, and 1990 are based on the population enumerated as of April 1 in the censuses for

those years. Rates for all other years use the estimated midyear (July 1) population. Death rates for the United States,

individual States, and metropolitan areas are based on the total resident populations of the respective areas. Except as

noted, these populations exclude the Armed Forces abroad but include the Armed Forces stationed in each area.

The resident populations of the birth- and death-registration States for 1900-32, and of the United States for 1900-

99 are shown in table I. In addition, the population including Armed Forces abroad is shown for the United States.

Table J lists the sources for these populations.

Populations for 1999--Population estimates of the United States by age, race, and sex for 1999 are shown in table

K (15). Population estimates for each State by age for 1999 are shown in table L (56). The population estimates

shown in tables I and J are based on the 1990 census and are consistent with those for 1990-98. Since these

population estimates are based on demographic analysis, they are not subject to sampling variability.

In addition the following estimates are shown:

• Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic origin, and sex:

United States, 1999 (see table M) (15,16)

• Estimated population for ages 15 years and over by 5-year age groups, marital status, race, and sex: United

States, 1999 (see table N) (16)

• Estimated population for ages 15 years and over, by 5-year age groups, marital status, Hispanic origin, race for

non-Hispanic origin, and sex: United States, 1999 (see table O) (16)

• Estimated population for ages 25-64 years, by 10-year age groups, educational attainment and sex: Total of 46

States and the District of Columbia, 1999 (see table P) (16)

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Population estimates by specified Hispanic origin, marital status, and educational attainment are based on the

Bureau of the Census’ Current Population Survey (a sample-based survey) adjusted to control totals. As a result, these

estimates are subject to sampling variation (see “Random variation and sampling errors”).

Revised populations estimates for 1999 that are consistent with the 2000 census levels are available for the

United States and each State on the NCHS website at

http://www.cdc.gov/nchs/about/major/dvs/popbridge/popbridge.htm

. Population estimates based on the CPS are

consistent with 1990 census levels and have not been revised.

Population for 1990--In the 1980 and 1990 censuses, a substantial number of persons did not specify a racial

group that could be classified as any of the white, black, American Indian, Eskimo, Aleut, Asian, or Pacific Islander

categories on the census form (57). In 1980 the number of persons of “Other” race was 6,758,319; in 1990, it was

9,804,847. In both censuses the large majority of these persons were of Hispanic origin (based on responses to a

separate question on the form), and many wrote in their Hispanic origin (for example, Mexican and Puerto Rican) as

their race. In 1980 and 1990 persons of unspecified race were allocated to one of the four tabulated racial groups

(white, black, American Indian, Asian or Pacific Islander) based on their response to the Hispanic origin question.

These four race categories conform with OMB Directive 15 (the standards for recordkeeping, collection, and

presentation of data on race and ethnicity in Federal statistical activities and program administrative reporting) (58)

and are more consistent with the race categories in vital statistics.

In 1980 the allocation of unspecified race was determined using cross-tabulations of age, sex, race, specified

Hispanic origin, and county of residence. Persons of Hispanic origin and unspecified race were allocated to either

white or black based on their specific Hispanic origin. Persons of “Other” race and Mexican origin were categorically

assumed to be white, while persons in other Hispanic categories were distributed to white and black pro rata within

the county-age-sex group. For “Other race-not-specified” persons who were not Hispanic, race was allocated to white,

black, or Asian or Pacific Islander based on proportions gleaned from sample data. The 20-percent sample

(respondents who were enumerated on the longer census form) provided a highly detailed coding of race, which

allowed identification of otherwise unidentifiable responses with a specified race category. Thus, allocation

proportions were established at the State level and were used to distribute the non-Hispanic persons of “Other” race in

the 100-percent tabulations.

In 1990 the race modification procedure was implemented using individual census records. Persons whose race

could not be specified were assigned to a racial category using a pool of “race donors” that consisted of persons of

specified race who had the identical responses to the Hispanic origin question and who were within the auspices of

the same census district office. As in the 1980 census, it appeared that the underlying assumption made in the 1990

census was that the Hispanic origin response was the major criterion for allocating race. Unlike those responding to

the 1980 census who could be assigned only to the racial group white or black, persons of Hispanic origin, including

Mexicans, responding to the 1990 census could be assigned to any racial group. Also, in the 1990 census, the

non-Hispanic component of “Other” race was allocated primarily on the basis of geography (district office), rather

than detailed characteristic.

The means by which respondent’s age was determined were fundamentally different for the two censuses;

therefore, the problems that necessitated the modification were different. In 1980 respondents reported year of birth

and quarter of birth (within year) on the census form. When census results were tabulated, persons born in the first

quarter of the year (before April 1) had age equal to 1980 minus year of birth, while persons born in the last three

quarters had age equal to 1979 minus year of birth.

In 1990 quarter year of birth was not reported on the census form, so direct determination of age from year of

birth was not possible. In 1990 census publications, age is based on respondents’ direct reports of age at last birthday.

This definition proved inadequate for postcensal estimates as it was apparent that many respondents had reported their

age at time of either completion of the census form or interview by an enumerator that could occur several months

after the April 1 reference date. As a result, age was biased upward. For most respondents, modification was based on

a respecification of age, by year of birth, with allocation to first quarter (persons aged 1990 minus year of birth) and

last three quarters (aged 1989 minus year of birth) based on a historical series of registered births by month. This

process partially restored the 1980 logic for assignment of age. It was not considered necessary to correct for age

overstatement and heaping in 1990, because the availability of age and year of birth on the census form had provided

for the elimination of spurious year-of-birth reports in the census data before modification occurred.

Population estimates for 1981-89--Death rates for 1981-89 are based on revised populations that are consistent

with the 1990 census level (57). They are, therefore, not comparable with death rates published in Vital Statistics of

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

the United States for 1981-89, and in other NCHS publications for those years. The 1990 census counted

approximately 1.5 million fewer persons than had been estimated earlier for April 1, 1990.

Populations for 1980--Death rates for 1980 are based on the population enumerated as of April 1 in the 1980

census (59). The figures by race have been modified as described.

Population estimates for 1971-79--Death rates for 1971-79 used revised population estimates that are consistent

with the 1980 census levels. The 1980 census enumerated approximately 5.5 million more persons than had been

estimated for April 1, 1980 (60). These revised estimates for the United States by age, race, and sex are published by

the U.S. Bureau of the Census in Current Population Reports, Series P-25, Number 917. Unpublished revised

estimates for States were obtained from the U.S. Bureau of the Census. For Puerto Rico, the Virgin Islands, and

Guam, revised estimates are published in Current Population Reports, Series P-25, Number 919.

Population estimates for 1961-69--Death rates for 1961-69 are based on revised estimates of the population and

thus may differ slightly from rates published before 1976. Rates, life table values, and population estimates for each

year during 1961-69 have been revised to reflect modified population bases as published in the U.S. Bureau of the

Census, Current Population Reports, Series P-25, Number 519.

New Jersey--As previously indicated, data by race are not available for New Jersey for 1962 and 1963. Therefore,

for 1962 and 1963, NCHS estimated a population by age, race, and sex that excluded New Jersey for rates shown by

race. The methodology used to estimate the revised population excluding New Jersey is discussed in the Technical

Appendixes of the 1962 and 1963 volumes.

Rates and ratios based on live births--Infant and maternal mortality rates are computed on the basis of the number

of live births. Counts of live births are published annually in Vital Statistics of the United States.

Net census undercount

Errors can be introduced into the annual rates as a result of underenumeration of deaths and the misreporting of

demographic characteristics. Errors in rates can also result from enumeration errors in the latest decennial census.

This is because annual population estimates for the postcensal interval, which are used in the denominator for

calculating death rates, are computed using the decennial census count as a base (57). Net census undercount results

from the miscounting and misreporting of demographic characteristics such as age. Age-specific death rates are

affected by the net census undercount and the misreporting of age on the death certificate (61). To the extent that the

net undercount is substantial and that it varies among subgroups and geographic areas, it may have important

consequences for vital statistics measures.

Because death rates based on a population adjusted for net census undercount may be more accurate than rates

based on an unadjusted population, the possible impact of net census undercount on death rates must be considered.

This can be done on a national basis using results of studies conducted by the U.S. Bureau of the Census on the

completeness of coverage of the U.S. population (including underenumeration and misstatement of age, race, and

sex). Such studies were conducted in the last five decennial censuses--1950, 1960, 1970, 1980, and 1990. From this

work have come estimates of the national population that were not counted by age, race, and sex (62-65). The reports

for 1990 (unpublished data from the U.S. Bureau of the Census) include estimates of net underenumeration and

overenumeration for age, sex, and racial subgroups of the national population modified for race consistency with

previous population counts as described in the section “Population bases.” These studies indicate that, although

coverage was improved over previous censuses, there was differential coverage among the population subgroups; that

is, some age, race, and sex groups were more completely counted than others.

Because estimates of net census undercount are not available by age, race, and sex for individual States and

counties, it is not feasible to adjust for net census undercount when presenting rates in routine tabulations.

Nevertheless, it is important to be aware that net census undercounts can affect levels of observed vital rates.

Age, race, and sex--If adjustments were made for net census undercount, the size of denominators of the death

rates generally would increase and the rates, therefore, would decrease. The adjusted rates for 1999 can be computed

by multiplying the reported rates by ratios of the census-level resident population to the resident population adjusted

for the estimated net census undercount (table Q). A ratio of less than 1.0 indicates a net census undercount and, when

applied, results in a corresponding decrease in the death rate. A ratio greater than 1.0--indicating a net census

overcount--when multiplied by the reported rate results in an increase in the death rate.

Coverage ratios for all ages show that, in general, females were more completely enumerated than males and the

white population more completely enumerated than the black population in the 1990 Census of Population.

Underenumeration varied by age group for the total population, with the greatest differences found for persons aged

85 years and over. All other age groups were overcounted or undercounted by less than 4.0 percent. Among the

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

age-sex-race groups, underenumeration was highest (13.3 percent) for black males aged 25-34 years. In contrast,

white females in this age group were underenumerated by 2.5 percent.

If vital statistics measures were calculated with adjustments for net census undercounts for each population

subgroup, the resulting rates would be differentially reduced from their original levels; that is, rates for those groups

with the greatest estimated undercounts would show the greatest relative reductions due to these adjustments. Similar

effects would be evident in the opposite direction for groups with overcounts. Consequently, the ratio of mortality

between the rates for males and females and between the rates for the white population and the black population

usually would be reduced.

Similarly, the differences between the death rates among subgroups of the population by cause of death would be

affected by adjustments for net census undercounts. For example, in 1990 for the age group 35-39 years, the ratio of

the unadjusted death rate for Homicide and legal intervention for black males to that for white males is 7.54, whereas

the ratio of the death rates adjusted for net census undercount is 6.92. For Ischemic heart disease for males aged 40-44

years, the ratio of the death rate for the black population to that for the white population is 1.38 using the unadjusted

rates, but it is 1.26 when adjusted for estimated underenumeration.

Summary measures--The effect of net census undercount on age-adjusted death rates and life table values

depends on the underenumeration of each age group and on the distribution of deaths by age. Thus, the age-adjusted

death rate in 1990 for All causes would decrease from 520.2 to 512.7 per 100,000 population if the age-specific death

rates were corrected for net census undercount (table R). For Diseases of heart, the age-adjusted death rate for white

males would decrease from 202.0 to 198.2 per 100,000 population, a decline of 2.0 percent. For black males, the

change from an unadjusted rate of 275.9 to an adjusted rate of 256.7 would amount to a decrease of 7.0 percent. For

HIV infection, the rate for black males would decrease from 44.2 to 39.0 and for white males from 15.0 to 14.4.

If death rates by age were adjusted, the corresponding life expectancy at birth computed from these rates would

change. When calculating life expectancy, the impact of an undercount or overcount is greatest at the younger ages. In

general, the effect of correcting the death rates is to increase the estimate of life expectancy at birth. For example,

adjustment for net census undercount would increase life expectancy in 1990 by an estimated 0.2 years, from 75.4

years to 75.6 years for the total U.S. population.

Adjustment for differential underenumeration among race-sex groups would lead to greater changes in life

expectancy for some groups than for others. For males and females, increases would be 0.3 and 0.1 years,

respectively; for the black population and white population, 0.6 and 0.2 years, respectively. The largest increase

would be for black males, 1.2 years, followed by white males (0.3 years), black females (0.2 years), and white

females (0.2 years).

Age-adjusted death rates

Age-adjusted death rates are used to control for differences and changes in age composition and thus, compare

relative mortality risk across groups and over time. However, they should be viewed as constructs or indexes rather

than as direct or actual measures of mortality risk. Statistically, they are weighted averages of the age-specific death

rates, where the weights represent the fixed population proportions by age (66). Age-adjusted death rates were

computed by the direct method, that is, by applying age-specific death rates for a given cause of death to the U.S.

standard population. It is important not to compare age-adjusted death rates with crude rates.

Beginning with the 1999 data year, a new population standard was adopted by NCHS for use in age-adjusting

death rates. Based on the projected year 2000 population of the United States, the new standard replaces the 1940

standard population that had been used for over 50 years. The new population standard affects levels of mortality and

to some extent trends and group comparisons. Of particular note are the effects on race comparison of mortality. For

detailed discussion see Age Standardization of Death Rates: Implementation of the Year 2000 Standard (67).

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

The year 2000 standard population and corresponding weights (w

i

), used beginning with data year 1999, for

computing age-adjusted rates and relative standard errors (RSE), excluding those by marital status, education, injury

at work, and the U.S. territories, are shown in the following table:

Age

All ages.................................

Under 1 year.........................

1-4 years...............................

5-14 years.............................

15-24 years...........................

25-34 years...........................

35-44 years...........................

45-54 years...........................

55-64 years...........................

65-74 years...........................

75-84 years...........................

85 years and over..................

Number Weights (w

i

)

1,000,000 1.000000

13,818 0.013818

55,317 0.055317

145,565 0.145565

138,646 0.138646

135,573 0.135573

162,613 0.162613

134,834 0.134834

87,247 0.087247

66,037 0.066037

44,842 0.044842

15,508 0.015508

The 1940 standard population and corresponding weights (w

i

), used prior to data year 1999, for computing age-

adjusted rates and relative standard errors (RSE), excluding those by marital status, education, injury at work, and the

U.S. territories, are shown in the following table:

Age

All ages.................................

Under 1 year.........................

1-4 years................................

5-14 years..............................

15-24 years............................

25-34 years............................

35-44 years............................

45-54 years............................

55-64 years............................

65-74 years............................

75-84 years............................

85 years and over..................

Number Weights (w

i

)

1,000,000 1.000000

15,343 0.015343

64,718 0.064718

170,355 0.170355

181,677 0.181677

162,066 0.162066

139,237 0.139237

117,811 0.117811

80,294 0.080294

48,426 0.048426

17,303 0.017303

2,770 0.002770

-28-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Age-adjusted death rates by marital status are computed using the age groups 25 years and over. Therefore, based

on the year 2000 standard population, the United States standard population aged 25 years and over and

corresponding weights (w

i

) are as follows:

Age

25 years and over..................

25-34 years............................

35-44 years............................

45-54 years............................

55-64 years............................

65-74 years............................

75 years and over...................

Number Weights (w

i

)

646,654 1.000000

135,573 0.209653

162,613 0.251468

134,834 0.208510

87,247 0.134921

66,037 0.102121

60,350 0.093327

Age-adjusted death rates by educational attainment are computed using the age groups 25-64 years. Therefore,

based on the year 2000 standard population, the United States standard population aged 25-64 years and

corresponding weights (w

i

) are as follows:

Age Number Weights (w

i

)

25-64 years.............................. 520,267 1.000000

25-34 years.............................. 135,573 0.260584

35-44 years.............................. 162,613 0.312557

45-54 years.............................. 134,834 0.259163

55-64 years.............................. 87,247 0.167697

Age-adjusted death rates for injury at work are computed using the age groups 15 years and over. Therefore,

based on the year 2000 standard population, the United States standard population aged 15 years over and

corresponding weights (w

i

) are as follows:

Age

15 years and over....................

15-24 years..............................

25-34 years..............................

35-44 years..............................

45-54 years..............................

55-64 years..............................

65-74 years..............................

Number Weights (w

i

)

785,300 1.000000

138,646 0.176552

135,573 0.172638

162,613 0.207071

134,834 0.171697

87,247 0.111100

126,387 0.160941

Age-adjusted death rates for Puerto Rico, Virgin Islands, Guam, American Samoa, and Northern Marianas are

computed using the age groups 75 years and over. Therefore, based on the year 2000 standard population, the United

States standard population aged 75 years and over and corresponding weights (w

i

) are as follows:

Age

All ages.................................

Under 1 year.........................

1-4 years...............................

5-14 years.............................

15-24 years...........................

25-34 years...........................

35-44 years...........................

45-54 years...........................

55-64 years...........................

65-74 years...........................

75 years and over..................

Number Weights (w

i

)

1,000,000 1.000000

13,818 0.013818

55,317 0.055317

145,565 0.145565

138,646 0.138646

135,573 0.135573

162,613 0.162613

134,834 0.134834

87,247 0.087247

66,037 0.066037

60,350 0.060350

-29-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Life tables

The current or period life table provides a comprehensive measure of the effect of current mortality on life

expectancy. It is composed of sets of values showing the mortality experience of a hypothetical group of infants born

at the same time and subject throughout their lifetime to the age-specific death rates of a particular time period,

usually a given year. Beginning with final data reported for 1997, the life table methodology was changed from

previous annual reports. Previously, U.S. life tables were abridged and constructed by reference to a standard table

(68). In addition, the age range for these life tables was limited to 5-year age groups ending with the age group 85

years and over.

Beginning with 1997 mortality data, a revised life table methodology was used to construct complete life tables

by single years of age that extend to age 100 (69) using a methodology similar to that of the decennial life tables (70).

The advantages of the new over the previous methodology are its comparability with decennial life table

methodology, greater accuracy, and greater age detail. A comparison of the two methods shows small differences in

resulting values for life expectancy (69). To calculate the probability of dying at each age, the revised methodology

uses vital statistics death rates for ages under 85 years and mortality data from the Medicare program for ages over 85

years. Medicare data were used to model the probability of dying at ages 85 and over because the data are shown to

be significantly more reliable than vital statistics data at the oldest ages (71).

Life tables for the decennial period 1979-81 are used as the standard life tables in constructing the 1980-96

abridged life tables. Life table values for 1981-89 are based on revised intercensal estimates of the populations for

those years. Therefore, these life table values may differ from life table values of those years published previously.

Life tables for the decennial period 1969-71 are used as the standard life tables in constructing the 1970-79

abridged life tables. Life table values for 1970-73 were first revised in Vital Statistics of the United States, 1977;

before 1977, life table values for 1970-73 were constructed using the 1959-61 decennial life tables. In addition, life

table values for 1951-59, 1961-69, and 1971-79 are based on revised intercensal estimates of the populations for those

years. As such, these life table values may differ from life table values previously published.

The annual abridged life table series was initiated for selected race-sex groups in 1945. Because of the increased

interest in the average length of life (

o

e

o

) for years prior to 1945, estimates were prepared for the following race and

sex groups and data years (72).

Years Race and sex groups

1900-45................................................................................Total

1900-47................................................................................Male

1900-47................................................................................Female

1900-50................................................................................White

1900-44................................................................................White, male

1900-44................................................................................White, female

1900-50................................................................................All other

1900-44................................................................................All other, male

1900-44................................................................................All other, female

The geographic areas covered in life tables before 1929-31 were limited to the death-registration areas. Life

tables for 1900-02 and 1909-11 were constructed using mortality data from the 1900 death-registration States--10

States and the District of Columbia, and for 1919-21, from the 1920 death-registration States--34 States and the

District of Columbia. The tables for 1929-31 through 1958 cover the conterminous United States. Decennial life table

values for the 3-year period 1959-61 were derived from data that include Alaska and Hawaii for each year. Data for

each year include Alaska beginning in 1959 and Hawaii beginning in 1960. It is believed that the inclusion of these

two States does not materially affect life table values.

Causes of death contributing to changes in life expectancy

Causes of death contributing to changes in life expectancy were estimated using a life table partitioning

technique. The method partitions changes into component additive parts. This method identifies the causes of death

having the greatest influence, positive or negative, on changes in life expectancy (73,74).

-30-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Random variation and sampling errors

Deaths--The number of deaths reported for an area represent complete counts of such events (except for 1972

when the data were based on a 50-percent sample because of resource constraints). As such, they are not subject to

sampling error, although they are subject to non-sampling errors in the registration process. However, when the

figures are used for analytical purposes, such as the comparison of rates over time or for different areas, the number of

events that actually occurred may be considered as one of a large series of possible results that could have arisen

under the same circumstances (75). The probable range of values may be estimated from the actual figures according

to certain statistical assumptions.

In general, distributions of vital events, because they are relatively infrequent, may be assumed to follow a

Poisson distribution. As a result, the numbers of deaths, death rates, and mortality rates are subject to random

variation. Estimates of relative standard errors (RSE)--a measure of variability--95-percent confidence intervals, and

tests of statistical significance under this assumption are shown below. When the number of events is large, the

relative standard error is usually small. When the number of events is small (perhaps less than 100) and the

probability of such an event is small, considerable caution must be observed in interpreting the data.

Populations-Population estimates of the United States and for each State by age, race, total Hispanic origin, and

sex for 1999 are based on demographic methods and, therefore, are not subject to sampling variability. However,

population estimates by specified Hispanic origin (Mexicans, Puerto Ricans, Cubans, and Other Hispanics), by

specified marital status groups (never married, married, widowed, and divorced), and by specified educational

attainment groups (under 12 years, 12 years, and 13 or more years) are based on the Bureau of the Census’ Current

Population Survey (CPS) adjusted to control totals and, therefore, are subject to sampling variation. As a result, death

rates based on the CPS-based population estimates are subject to both random variation of the deaths and sampling

error of the population estimates. Estimates of relative standard errors, 95-percent confidence intervals, and tests of

statistical significance under these assumptions are shown below. All population estimates may also be subject to

non-sampling errors.

Computation of population-based death rates--Death rates for a single calendar year are computed by dividing

the number of deaths for a class for that year by the population of a similarly-defined class for the same year and

multiplying that result by 100,000 (or 1,000). Rates thus computed are per 100,000 (or 1,000) estimated population

residing in selected areas of the United States. The 3-year average death rates are computed by dividing the total

number of deaths for a class for a three-year period by the sum of the population estimates of a similarly defined class

for the same period and multiplying that result by 100,000 (or 1,000).

Computation of live birth-based mortality rates--Maternal mortality rates and infant mortality rates are computed

by dividing the number of deaths for a class for a specified year by the number of live births of a similarly defined

class for that year and multiplying that result by 100,000 (or 1,000). Rates thus computed are per 100,000 (or 1,000)

live births residing in selected areas of the United States.

Relative Standard Errors and 95% Confidence Intervals--Formulas for computing approximate RSE’s and

confidence intervals (CI’s) for crude, age-specific death rates, age-adjusted death rates, and infant and maternal

mortality rates are shown below.

Beginning with 1989 data, an asterisk has been shown in place of a rate based on fewer than 20 deaths, which is

the equivalent of an RSE of 22.94 percent or more. An RSE of this magnitude is considered statistically unreliable.

That procedure has been used for mortality data except death rates based on CPS-based population estimates, for

which sampling variation must be considered in addition to random variation. Formulas for computing RSE’s for CPS

population-based rates are presented below and an asterisk is shown in place of a rate when the RSE is 22.94 percent

or more. RSE’s for CPS population-based rates were introduced beginning with specified Hispanic-origin data for

1994 and subsequently for rates by marital status and educational attainment.

The formulas below are shown separately for rates based on demographically estimated populations, sample-

based populations, and rates based on live births. Further, separate discussions are provided for rates based on less

than 100 events, and rates based on 100 events or more. Specific examples are given to illustrate the use of the

formulas.

-31-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

The following formulas are used for demographically-estimated population-based death rates for all races, white,

black, American Indian, Asian or Pacific Islander, all origins, total Hispanic, total non-Hispanic, non-Hispanic

white, and non-Hispanic black for all marital status groups combined:

Age-specific and crude death rates

--

RSE(R)= RSE(D)= 100

D

1

Approximate 95% Confidence Interval: 100 or more deaths

Lower: R - 1.96 * S(R)

Upper: R + 1.96 * S(R)

Approximate 95% Confidence Interval: 1-99 deaths

Lower: R * L(1- α =.95,D)

Upper: R * U(1- α =.95,D)

where

R = rate (deaths per 100,000 population)

D = total number of deaths upon which rate is based

S(R)= R *

RSE(R)

= standard error of rate

100

L(1- α =.95,D) and U(1- α =.95,D) are lower and upper 95% confidence limit factors and are shown in table

S

-32-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Age-adjusted death rates--

RSE

()

= 100R"

R"

D

1

R

w

i

2

i

2

i

























Σ

Approximate 95% Confidence Interval: 100 or more deaths

Lower: R" - 1.96 * S(R")

Upper: R" + 1.96 * S(R")

Approximate 95% Confidence Interval: 1-99 deaths

Lower: R" * L(1- α =.95,D

adj

)

Upper: R" * U(1- α =.95,D

adj

)

where

R" = age-adjusted rate (per 100,000 population) = ∑w

i

R

i

w

i

= i

th

age-specific Standard Population such that ∑(w

i

) = 1.0

R

i

= age-specific rate (per 100,000) for the i

th

age group

D

i

= total number of deaths for the i

th

age group upon which age-specific rate is based

S

()

= R"*

RSE( R" )

= standard error of age - adjusted rateR"

100

L(1- α =.95,D

adj

) and U(1- α =.95,D

adj

) are lower and upper 95% confidence limit factors and are shown in

table S

1

D

adj

=

2

= adjusted number of deaths rounded to nearest integer



RSE( R" )









100



-33-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

The following formulas are used for CPS population-based death rates for all races, white, black, American Indian,

Asian or Pacific Islander, all origins, total Hispanic, total non-Hispanic, non-Hispanic white, non-Hispanic black by

specified marital status group (never married, married, widowed, and divorced) and by specified educational

attainment groups

OR

for Mexican, Puerto Rican, Cuban, Other Hispanic for all marital status (or all educational attainment) groups

combined and by specified marital status group (never married, married, widowed, and divorced) and specified

educational attainment groups:

Age-specific and crude death rates

--

RSE( R )= 100













+ +













P

b

a f

D

1

Approximate 95% Confidence Interval: 100 or more deaths

Lower: R-1.96*S(R)

Upper: R+1.96*S(R)

Approximate 95% Confidence Interval: 1-99 deaths















P

b

+ a f



Lower : R* L

(

1 -

α

= .96, D

)

*



1 - 2.576



 















P

b

+ a f



Upper : R* U

(

1 -

α

= .96, D

)

*



1+ 2.576



 

where

R = rate (deaths per 100,000 population).

D = total number of deaths upon which rate is based

f = factor that depends on whether the population estimate is based on demographic analysis or CPS and the

number of years used (see below)

a and b factors are CPS standard error parameters (see below)

P = total estimated population upon which rate is based (if rate is based on a 3-year average, then an

approximate P would be three times the population for the most recent year)

S( R )= R*

RSE( R )

= standard error of rate

100

L(1- α =.96,D) and U(1- α =.96,D) are lower and upper 96% confidence limit factors and are shown in table

S

-34-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Age-adjusted death rates--

RSE

()

= 100R"

R"

P

b

a f

D

1

iR

*

w

i

2

i

2





































+ + Σ

Approximate 95% Confidence

Interval: 100 or more deaths

Lower: R" - 1.96 * S(R")

Upper: R" + 1.96 * S(R")

Approximate 95% Confidence Interval: 1-99 deaths

Lower: R" * L(1- α =.96,D

adj

) * (1 -2.576 * RSE(P

adj

))

Upper: R" * U(1- α =.96,D

adj

) * (1+2.576 * RSE(P

adj

))

where

R" = age-adjusted rate (per 100,000 population) = ∑w

i

R

i

w

i

= i

th

age-specific Standard Population such that ∑ (w

i

) = 1.0

R

i

= age-specific rate (per 100,000)for the i

th

age group

D

i

= total number of deaths for the i

th

age group upon which age-specific rate is based

f = factor that depends on whether the population estimate is based on demographic analysis or CPS and the

number of years used (see below)

a and b factors are CPS standard error parameters (see below)

P

i

= total estimated population for the i

th

age group upon which the rate is based (if rate is based on 3-year

average, then combined P

i

would be three times the population for the most recent year)

R"

R"S

()

= R" *

RSE

()

= standard error of age − adjusted rate

100

L(1- α =.96,D

adj

) and U(1- α =.96,D

adj

) are lower and upper 96% confidence limit factors and are shown in

table S

P

adj

=∑(w

i

* P

i

) = adjusted estimated population rounded to nearest integer

RSE(

P

adj

)=

P

adj

P

b

+ a f *

P

*

w

i

2

i

2

























Σ

adjusted number of deaths

D

adj

= smaller of Σ

()

or

1

2

= rounded to the

D

i

R"RSE

()

2

- RSE

(

P

adj

)

nearest integer

If D

adj

is negative, set D

adj

to ∑(D

i

)

-35-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Shown below are the “a”, “b”, and “f” factors for various race, origin, marital status, and educational attainment

classifications, by whether the population-based rate wa

s based on a single year (76) or 3-year average (76-78):

Race, origin, and marital status

All races, white, American Indian, all origins, total

Hispanic, total non-Hispanic, non-Hispanic white;

by never married, married, widowed, divorced

Black, non-Hispanic black; by never married,

married, widowed, divorced

Asian or Pacific Islander; by never married, married,

widowed, divorced

Mexican, Puerto Rican, Cuban, Other Hispanic; all

marital status groups combined, never married,

married, widowed, divorced

All races, white, American Indian, all origins, total

Hispanic, total non-Hispanic, non-Hispanic white;

by educational attainment

Black, non-Hispanic black; by educational

attainment

Mexican, Puerto Rican, Cuban, Other Hispanic; by

educational attainment

Rate based on 1 year

Rate based on 3 years

f = 0.670

a = -0.000019

b = 5,211

f = 0.670

a = -0.000213

b = 7,486

f = 0.670

a = -0.000587

b = 7,486

f = 0.670

a = -0.000238

b = 7,486

f = 0.670

a = -0.000011

b = 2,369

f = 0.670

a = -0.000106

b = 2,680

f = 0.670

a = -0.000082

b = 1,811

f = 0.440

a = -0.000019

b = 15,633

f = 0.440

a = -0.000214

b = 22,458

f = 0.440

a = -0.000587

b = 22,458

f = 0.440

a = -0.000240

b = 22,458

f = 0.440

a = -0.000011

b = 7,107

f = 0.440

a = -0.000117

b = 8,040

f = 0.440

a = -0.000109

b = 6,673

-36-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

The following formulas may be used for live birth-based mortality rates:

The formulas for the RSE and 95-percent CI’s of an infant mortality rate (IMR) are as follows:

RSE

(

IMR

)

= 100

B

1

+

D

1

Approximate 95% Confidence Interval: 100 or more infant deaths

Lower: IMR - 1.96 * S(IMR)

Upper: IMR + 1.96 * S(IMR)

Approximate 95% Confidence Interval: 1-99 infant deaths

Lower: IMR * L(1- α =.95,D

adj

)

Upper: IMR * U(1- α =.95,D

adj

)

where

IMR = infant mortality rate (infant deaths per 100,000 live births)

D = total number of infant deaths upon which rate is based

B = total number of live births upon which IMR is based

S

(

IMR

)

= IMR*

RSE

(

IMR

)

= standard error of infant mortality rate

100

L(1- α =.95,D

adj

) and U(1- α =.95,D

adj

) are lower and upper 95% confidence limit factors and are shown in

table S

adjusted number of infant deaths that takes

D* B

D

adj

=

D + B

= into account the RSE of the number

of infant deaths and live births

-37-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Statistical tests

For testing the equality of two rates, R

1

and R

2

, the z-test may be used (when both rates are based on 100 deaths

or more) or the overlap of 95% CI’s of the rates may be used (when either or both of the rates are based on less than

100 deaths).

The z-test is determined as follows:

R

1

-

R

2

z =

() ()

























100

R

RSE

R

+

100

R

RSE

R

2

1

2

1

2

to define a significance test statistic. If |z| is greater than or equal 1.96, then the difference would be considered

statistically significant at the 0.05 level; and if |z| is less than 1.96, the difference is not statistically significant.

As a hypothetical example, if the three-year average death rate for Mexicans, R

1

, is 36.4 (based on D=120

deaths and P=330,000 population for the three years combined) and the three-year rate for non-Hispanic whites, R

2

, is

13.8 (based on D=180 deaths and P=1,300,000 population for the three years combined), then using the formulas

above the RSE’s and z-test are computed as follows:

RSE

()

= 100

330,000

20,595

+ .000297 -* 0.440+

120

1













= 18.88%

R

1

RSE

()

= 100

180

1

=7.45%

R

2

and

36.4 - 13.8

z =

100

7.45

13.8

+

100

18.88

36.4

2

























= 3.25

Since |z| is greater than 1.96, the difference between the two rates is statistically significant at the 0.05 level of

significance.

-38-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

If either of two rates is based on less than 100 deaths, then one may determine if the 95% CI’s overlap as an

indication of a statistically significant or non-significant difference. Users of the method of comparing confidence

intervals should be aware that this method is a conservative test for statistical significance. That is, the difference

between two rates may, in fact, be statistically significant even though confidence intervals for the two rates overlap

(79). Thus, caution should be observed when interpreting a non-significant difference between two rates, especially

when the lower and upper limits being compared overlap only slightly.

As a hypothetical example, if the three-year average death rate for Cubans, R

3

, is 26.7 (based on D=40

deaths and P=150,000 population for the three years combined) and the three-year rate for non-Hispanic blacks, R

4

, is

61.5 (based on D=400 deaths and P=650,000 population for the three years combined), then the 95% CI’s are

computed using information from the following formulas and table S:

95% CI for R

3



150,000

20,595

+ .000297-* 0.44















Lower := 26.7 * 0.70266



1 - 2.576



= 6.9

 

 



150,000

20,595

+ .000297 -* 0.44















Upper := 26.7 * 1.37991



1+ 2.576



= 60.1

 

95% CI for R

4

RSE

()

= 100

400

1

= 5.00%

R

4

(

55.5 = 1.96 -61.5 = Lower

)

(

67.5 = 1.96 + 61.5 = Upper

)

Since the CI’s overlap, the difference between R

3

and R

4

is not statistically significant.

-39-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

References

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Figure 1. U.S. Standard Certificate of Death

-44-

--- ---

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table A. Percent agreement between number of deaths from death certificates and from census

and Current Population Survey files, by race and Hispanic origin, and ratio of number of deaths

1960 census and the National Longitudinal Mortality Study

1960 census NLMS

3

1979-1985/1989

Race

1

and Hispanic origin

2

Percent

agreement

Ratio of

census to

death

certificate

Percent

agreement

Ratio of

CPS

4

to

death

certificate

White..................................... 99.8 1.00 99.8 1.00

Black.....................................

American Indian

5

....................

Asian or Pacific Islander.......

Japanese............................

Chinese............................

Filipino............................

Hispanic................................

Mexican............................

Puerto Rican......................

Cuban................................

Other Hispanic..................

Non-Hispanic........................

98.2 1.00 98.6 1.00

79.2 1.12 57.4 1.37

82.5 1.13

97.0 1.04

90.3 1.07

72.6 1.28

89.7 1.07

84.9 1.11

85.9 1.04

80.0 1.07

47.6 0.89

99.8 1.00

--- Data not available.

1

NLMS race data are nine CPS files and for deaths occurring 1979-89.

2

NLMS Hispanic-origin data are for 12 CPS fields and for deaths occurring 1979-85 for selected States.

3

National Longitudinal Mortality Study.

4

Current Population Survey.

5

Includes Aleuts and Eskimos.

SOURCES: Hambright TZ. Comparability of marital status, race, nativity, and country of origin on the death certificate and

matching census record: U.S., May-August 1960. National Center for Health Statistics. Vital Health Stat 2(34). 1969;

Rosenberg HM, Maurer JD, Sorlie PD, Johnson NJ, et al. Quality of death rates by race and Hispanic origin: A summary of

current research, 1999. National Center for Health Statistics. Vital Health Stat 2(128). 1999. Sorlie PD, Rogot E, Johnson NJ.

Validity of demographic characteristics on the death certificate. Epidemiology 3(2):181-4. 1992.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table B. Reported age-adjusted death rates and rates adjusted for reporting bias and undercoverage, by race

and Hispanic origin: United States, 1999

[Age-adjusted rates per 100,000 U.S. standard population based on year 2000 standard]

1999

age-adjusted

rate

1

1979-89

NLMS

ratio

2

1990

census

undercount

ratio

3

Combined

ratio

4

Rates

adjusted for

reporting

bias and

estimated

census

undercount

5

Race

ratio

6

before

adjustment

Estimated

race ratio

6

after

adjustment

Race and origin

White..................................... 860.7 1.00 0.99 0.99 852.1 1.00 1.00

Black..................................... 1,147.1 1.00 0.95 0.95 1,089.7 1.33 1.28

American Indian

7

................... 716.1 1.37 0.88 1.21 866.5 0.83 1.02

Asian or Pacific Islander

8

...... 517.5 1.13 0.98 1.11 574.4 0.60 0.67

Hispanic................................ 601.0 1.07 0.95 1.02 613.0 0.70 0.72

--- Data not available.

1

Hoyert DL, Arias E, Smith BS, Murphy SL, Kochanek KD. Deaths: Final data for 1999. National vital statistics reports; vol 49 no 8.

Hyattsville, Maryland: National Center for Health Statistics. 2001.

2

The National Longitudinal Mortality Study (NLMS) race ratios based on weighted data for nine Current Population Survey (CPS) files;

NLMS ratios are the ratio of CPS-weighted number of deaths for a race group divided by the death certificated weighted number of

deaths for the corresponding race group. The ratio for Hispanic persons was based on 12 CPS files for selected States for 1979-85.

3

The census undercount ratio is based on the ratio of the 1990 resident census-level population to the resident population adjusted for net

census undercount (Hogan H. The 1990 post-enumeration survey: Operations and results. J Am Stat Assoc 88(423):1047-60. 1993).

4

Product of the NLMS ratio multiplied by the census undercount ratio.

5

Product of the 1999 age-adjusted rate multiplied by the combined ratio.

6

Ratio of the rate for a race or origin group to the rate for the white population.

7

Includes Aleuts and Eskimos.

8

Includes deaths among Chinese, Filipino, Hawaiian, Japanese, and other Asian or Pacific Islanders.

NOTE: The NLMS ratios, the census undercount ratios, and the age-adjusted rates are subject to variability and/or biases. Therefore, the results

based on these ratios should be interpreted with caution.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table C. Number of States whose Hispanic data was considered of sufficient quality for analysis and

publication by NCHS and estimated percent of U.S. Hispanic population residing in

reporting States, 1984-1999

Year

Number of States whose Hispanic data was considered of

sufficient quality for analysis and publication by NCHS

Estimated percent

of U.S. Hispanic

population

residing in

reporting States

1

1999.............................................. 50 States and D.C. 100.0

1998.............................................. 50 States and D.C. 100.0

1997.............................................. 50 States and D.C. 100.0

1996.............................................. 49 States and D.C. 99.6

1995.............................................. 49 States and D.C. 99.6

1994.............................................. 49 States and D.C. 99.6

1993.............................................. 49 States and D.C. 99.6

1992.............................................. 48 States and D.C. 99.6

1991.............................................. 47 States, New York State (excl. New York City) and D.C. 91

1990.............................................. 45 States, New York State (excl. New York City) and D.C. 89

1989.............................................. 44 States and D.C. 97

1988.............................................. 26 States and D.C. 82

1987.............................................. 18 States and D.C. 80

1986.............................................. 18 States and D.C. 80

1985.............................................. 17 States and D.C. 77

1984.............................................. 15 States 45

1

Percents are based on the 1980 Census for 1984-89 and on the 1990 Census for 1990-99.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table D. Year in which State began reporting Hispanic data and year in which data reached level of

acceptable quality and completeness for analysis by NCHS: Each State

[Prior to 1992, mortality data by Hispanic origin was considered of acceptable completeness if it was at least 90 percent

complete on a place-of-occurrence basis. Thereafter, it was considered of acceptable completeness if it was at

least 80 percent complete]

States

Year in which State first

began reporting deaths

by Hispanic origin

Year data reach level of

acceptable quality and

completeness for

analysis by NCHS

Alabama .................................................................... 1988

Alaska........................................................................ 1989

Arizona ...................................................................... 1984

Arkansas .................................................................... 1984

California................................................................... 1984

Colorado .................................................................... 1984

Connecticut................................................................ 1989

Delaware.................................................................... 1989

District of Columbia .................................................. 1984

Florida ....................................................................... 1989

Georgia ...................................................................... 1984

Hawaii ....................................................................... 1984

Idaho.......................................................................... 1989

Illinois........................................................................ 1984

Indiana....................................................................... 1984

Iowa........................................................................... 1989

Kansas ....................................................................... 1984

Kentucky ................................................................... 1988

Louisiana ................................................................... 1991

Maine......................................................................... 1984

Maryland ................................................................... 1989

Massachusetts............................................................ 1989

Michigan.................................................................... 1989

Minnesota .................................................................. 1989

Mississippi................................................................. 1984

Missouri..................................................................... 1989

Montana..................................................................... 1988

Nebraska.................................................................... 1984

Nevada....................................................................... 1984

New Hampshire ......................................................... 1993 1993

New Jersey ................................................................ 1984

New Mexico .............................................................. 1984

New York (excluding New York City) 1/ ................. 1984

New York City .......................................................... 1984 1984

North Carolina ........................................................... 1988 1988

North Dakota ............................................................. 1984

Ohio........................................................................... 1984 1984

Oklahoma .................................................................. 1997

Oregon....................................................................... 1988

Pennsylvania.............................................................. 1989

Rhode Island.............................................................. 1988

South Carolina ........................................................... 1989 1989

South Dakota ............................................................. 1989

Tennessee .................................................................. 1984

1988

1989

1984

1985

1984

1991

1989

1985

1989

1984

1989

1984

1989

1984

1988

1991

1988

1990

1989

1984

1989

1988

1984

1989

1986

1989

1984

1997

1988

1989

1988

1989

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table D. Year in which State began reporting Hispanic data and year in which data reached level of

acceptable quality and completeness for analysis by NCHS: Each State

[Prior to 1992, mortality data by Hispanic origin was considered of acceptable completeness if it was at least 90 percent

complete on a place-of-occurrence basis. Thereafter, it was considered of acceptable completeness if it was at

least 80 percent complete]

States

Year in which State first

began reporting deaths

by Hispanic origin

Year data reach level of

acceptable quality and

completeness for

analysis by NCHS

Texas ......................................................................... 1984

Utah ........................................................................... 1984 1984

Vermont..................................................................... 1989

Virginia...................................................................... 1989

Washington................................................................ 1988

West Virginia ............................................................ 1989 1989

Wisconsin .................................................................. 1989

Wyoming ................................................................... 1984

1984

1989

1990

1988

1989

1984

1/ Data were excluded from analysis in 1990 and 1991 because more than 10 percent of New York City's deaths

were classified to "unknown origin.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table E. Comparable category codes and estimated comparability ratios for 113 selected causes of death, injury by firearms,

drug-induced deaths and alcohol-induced deaths according to the Ninth and Tenth Revisions,

International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Salmonella infections .......................................... A01-A02 002-003 30 37 0.8108 0.0644 7.9 0.6846 0.9370

Shigellosis and amebiasis .................................... A03,A06 004,006 * * * * * * *

Certain other intestinal infections........................ A04,A07-A09 007-009 * * * * * * *

Tuberculosis ........................................................ A16-A19 010-018 653 764 0.8547 0.0172 2.0 0.8209 0.8885

Respiratory tuberculosis .................................. A16 010-012 518 572 0.9056 0.0201 2.2 0.8662 0.9450

Other tuberculosis............................................ A17-A19 013-018 135 192 0.7031 0.0407 5.8 0.6233 0.7830

Whooping cough ................................................. A37 033 * * * * * * *

Scarlet fever and erysipelas ................................. A38,A46 034.1-035 * * * * * * *

Meningococcal infection ..................................... A39 036 221 222 0.9955 0.0149 1.5 0.9663 1.0247

Septicemia ........................................................... A40-A41 038 21,258 17,791 1.1949 0.0042 0.3 1.1867 1.2030

Syphilis ................................................................ A50-A53 090-097 21 33 0.6364 0.1184 18.6 0.4043 0.8685

Acute poliomyelitis ............................................. A80 045 * * * * * * *

Arthropod-borne viral encephalitis...................... A83-A84,A85.2 062-064 * * * * * * *

Measles ................................................................ B05 055 * * * * * * *

Viral hepatitis ...................................................... B15-B19 070 1,123 1,346 0.8343 0.0120 1.4 0.8109 0.8578

Human immunodeficiency virus (HIV)

disease .................................................................

B20-B24 *042-*044

12,765 11,150 1.1448 0.0045 0.4 1.1360 1.1536

Malaria................................................................. B50-B54 084 * * * * * * *

Other and unspecified infectious and parasitic

diseases and their sequelae ............................. A00,A05,A20-A36,

A42-A44,A48-A49,

A54-A79,A81-A82,

A85.0-A85.1,

A85.8,A86-B04,

B06-B09,B25-B49,

B55-B99

001,005,020-032,

037,039-041,046-

054,056-061,065-

066,071-083,085-

088,098-134,136-

139,771.3

2,865

2,607

1.0990

0.0154

1.4

1.0688

1.1291

Malignant neoplasms........................................... C00-C97 140-208 464,688 461,544 1.0068 0.0002 0.0 1.0064 1.0072

Malignant neoplasms of lip, oral cavity and

pharynx ......................................................... C00-C14 140-149 5,927 6,172 0.9603 0.0040 0.4 0.9525 0.9681

Malignant neoplasm of esophagus .................. C15 150 9,596 9,630 0.9965 0.0020 0.2 0.9926 1.0003

Malignant neoplasm of stomach...................... C16 151 11,480 11,408 1.0063 0.0019 0.2 1.0025 1.0101

Malignant neoplasms of colon, rectum and

anus............................................................... C18-C21 153-154 48,583 48,619 0.9993 0.0009 0.1 0.9975 1.0010

Malignant neoplasms of liver and

intrahepatic bile ducts................................... C22 155 9,732 10,102 0.9634 0.0023 0.2 0.9588 0.9679

Malignant neoplasm of pancreas ..................... C25 157 24,313 24,361 0.9980 0.0009 0.1 0.9963 0.9997

Malignant neoplasm of larynx......................... C32 161 3,209 3,194 1.0047 0.0053 0.5 0.9943 1.0150

Malignant neoplasms of trachea, bronchus

and lung ........................................................ C33-C34 162 131,750 133,936 0.9837 0.0005 0.1 0.9827 0.9846

Malignant melanoma of skin ........................... C43 172 5,941 6,139 0.9677 0.0032 0.3 0.9614 0.9741

Malignant neoplasm of breast ......................... C50 174-175 38,102 37,891 1.0056 0.0010 0.1 1.0036 1.0075

Malignant neoplasm of cervix uteri................. C53 180 3,753 3,802 0.9871 0.0034 0.3 0.9805 0.9938

Malignant neoplasms of corpus uteri and

uterus, part unspecified................................. C54-C55 179,182 5,318 5,183 1.0260 0.0040 0.4 1.0182 1.0339

Malignant neoplasm of ovary .......................... C56 183 11,292 11,344 0.9954 0.0016 0.2 0.9923 0.9985

Malignant neoplasm of prostate ...................... C61 185 30,672 30,267 1.0134 0.0015 0.1 1.0105 1.0162

Malignant neoplasms of kidney and renal

pelvis ............................................................ C64-C65 189.0,189.1 9,521 9,521 1.0000 0.0022 0.2 0.9957 1.0043

Malignant neoplasm of bladder ....................... C67 188 9,563 9,594 0.9968 0.0026 0.3 0.9916 1.0019

Malignant neoplasms of meninges, brain

and other parts of central nervous system .... C70-C72 191-192 10,039 10,359 0.9691 0.0025 0.3 0.9642 0.9740

Malignant neoplasms of lymphoid,

hematopoietic and related tissue................... C81-C96 200-208 44,715 44,530 1.0042 0.0012 0.1 1.0019 1.0064

Hodgkin's disease ........................................ C81 201 1,021 1,036 0.9855 0.0089 0.9 0.9680 1.0030

-50-

- - -

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table E. Comparable category codes and estimated comparability ratios for 113 selected causes of death, injury by firearms,

drug-induced deaths and alcohol-induced deaths according to the Ninth and Tenth Revisions,

International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Non-Hodgkin's lymphoma .......................... C82-C85 200,202 17,924 18,326 0.9781 0.0018 0.2 0.9745 0.9817

Leukemia ...................................................... C91-C95 204-208 16,600 16,405 1.0119 0.0019 0.2 1.0083 1.0155

Multiple myeloma and

immunoproliferative neoplasms ............... C88,C90 203 9,099 8,763 1.0383 0.0030 0.3 1.0324 1.0443

Other and unspecified malignant

neoplasms of lymphoid, hematopoietic

and related tissue ......................................

C96 * * * * * * *

All other and unspecified malignant

neoplasms ..................................................... C17,C23-C24,C26-

C31,C37-C41,C44-

C49,C51-C52,C57-

C60,C62-C63,C66,

C68-C69,C73-C80,

C97

152,156,158-160,

163-171,173,181,

183.2-184,186-

187,189.2-190,

193-199

51,182 45,492 1.1251 0.0021 0.2 1.1210 1.1292

In situ neoplasms, benign neoplasms and

neoplasms of uncertain or unknown

behavior ............................................................ D00-D48 210-239 9,263 5,532 1.6744 0.0164 1.0 1.6422 1.7067

Anemias............................................................... D50-D64 280-285 3,059 3,200 0.9559 0.0077 0.8 0.9409 0.9710

Diabetes mellitus ................................................. E10-E14 250 48,636 48,242 1.0082 0.0011 0.1 1.0060 1.0103

Nutritional deficiencies ....................................... E40-E64 260-269 3,215 2,763 1.1636 0.0165 1.4 1.1312 1.1960

Malnutrition...................................................... E40-E46 260-263 2,607 2,665 0.9782 0.0151 1.5 0.9487 1.0078

Other nutritional deficiencies .......................... E50-E64 264-269 608 98 6.2041 0.5961 9.6 5.0358 7.3724

Meningitis............................................................ G00,G03 320-322 592 584 1.0137 0.0136 1.3 0.9871 1.0403

Parkinson's disease .............................................. G20-G21 332 10,404 10,392 1.0012 0.0028 0.3 0.9956 1.0067

Alzheimer's disease

1

........................................... G30 331.0 29,707 19,121 1.5536 0.0071 0.5 1.5398 1.5675

Major cardiovascular diseases ............................. I00-I78 390-434,436-448 796,919 798,435 0.9981 0.0002 0.0 0.9977 0.9985

Diseases of heart.............................................. I00-I09,I11,I13,I20-

I51

390-398,402,404,

410-429 615,564 624,405 0.9858 0.0002 0.0 0.9854 0.9863

Acute rheumatic fever and chronic

rheumatic heart diseases ........................... I00-I09 390-398 2,446 2,980 0.8208 0.0089 1.1 0.8034 0.8382

Hypertensive heart disease .......................... I11 402 17,322 21,577 0.8028 0.0028 0.3 0.7973 0.8083

Hypertensive heart and renal disease........... I13 404 2,170 2,027 1.0705 0.0160 1.5 1.0392 1.1019

Ischemic heart diseases diseases.................. I20-I25 410-414,429.2 466,459 466,935 0.9990 0.0002 0.0 0.9985 0.9994

Acute myocardial infarction .................... I21-I22 410 178,125 180,169 0.9887 0.0003 0.0 0.9880 0.9893

Other acute ischemic heart diseases ........ I24 411 2,667 2,638 1.0110 0.0117 1.2 0.9880 1.0340

Other forms of chronic ischemic heart

disease .................................................. I20,I25 412-414,429.2 285,667 284,128 1.0054 0.0004 0.0 1.0046 1.0062

Atherosclerotic cardiovascular

disease, so described......................... I25.0 429.2 64,354 61,362 1.0488 0.0016 0.2 1.0456 1.0519

All other forms of chronic ischemic

heart disease...................................... I20,I25.1-I25.9 412-414 221,313 222,766 0.9935 0.0004 0.0 0.9927 0.9942

Other heart diseases..................................... I26-I51 415-429.1,429.3-

429.9 127,167 130,886 0.9716 0.0010 0.1 0.9696 0.9736

Acute and subacute endocarditis ............. I33 421 552 554 0.9964 0.0137 1.4 0.9695 1.0233

Diseases of pericardium and acute

myocarditis ........................................... I30-I31,I40 420,422-423 489 475 1.0295 0.0160 1.6 0.9981 1.0608

Heart failure............................................. I50 428 44,297 42,554 1.0410 0.0013 0.1 1.0384 1.0435

All other forms of heart disease............... I26-I28,I34-I38,I42

-

I49,I51

415-417,424-427,

429.0-429.1,

429.3-429.9 81,829 87,303 0.9373 0.0014 0.2 0.9345 0.9401

Essential (primary) hypertension and

hypertensive renal disease ............................ I10,I12 401,403 11,958 10,684 1.1192 0.0050 0.4 1.1094 1.1291

Cerebrovascular diseases................................. I60-I69 430-434,436-438 137,264 129,640 1.0588 0.0008 0.1 1.0572 1.0604

Atherosclerosis ................................................ I70 440 13,894 14,417 0.9637 0.0025 0.3 0.9588 0.9686

Other diseases of circulatory system ............... I71-I78 441-448 18,239 19,289 0.9456 0.0021 0.2 0.9414 0.9498

Aortic aneurysm and dissection................... I71 441 12,216 12,201 1.0012 0.0010 0.1 0.9992 1.0032

-51-

- - -

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table E. Comparable category codes and estimated comparability ratios for 113 selected causes of death, injury by firearms,

drug-induced deaths and alcohol-induced deaths according to the Ninth and Tenth Revisions,

International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Other diseases of arteries, arterioles and

capillaries.................................................. I72-I78 442-448 6,023 7,088 0.8497 0.0053 0.6 0.8394 0.8601

Other disorders of circulatory system.................. I80-I99 451-459 2,984 2,899 1.0293 0.0172 1.7 0.9956 1.0631

Influenza and pneumonia .................................... J10-J18 480-487 50,526 72,371 0.6982 0.0018 0.3 0.6947 0.7016

Influenza .......................................................... J10-J11 487 572 567 1.0088 0.0073 0.7 0.9945 1.0231

Pneumonia ....................................................... J12-J18 480-486 49,954 71,804 0.6957 0.0018 0.3 0.6922 0.6992

Other acute lower respiratory infections ............. J20-J22 466 346 355 0.9746 0.0392 4.0 0.8978 1.0515

Acute bronchitis and bronchiolitis................... J20-J21 466 265 355 0.7465 0.0264 3.5 0.6947 0.7983

Unspecified acute lower respiratory

infection......................................................... J22 * * * * * * *

Chronic lower respiratory diseases...................... J40-J47 490-494,496 94,326 90,022 1.0478 0.0009 0.1 1.0460 1.0496

Bronchitis, chronic and unspecified ................ J40-J42 490-491 913 2,320 0.3935 0.0107 2.7 0.3726 0.4145

Emphysema ..................................................... J43 492 14,369 14,774 0.9726 0.0031 0.3 0.9666 0.9786

Asthma............................................................. J45-J46 493 4,217 4,718 0.8938 0.0061 0.7 0.8819 0.9057

Other chronic lower respiratory diseases ........ J44,J47 494,496 74,827 68,210 1.0970 0.0014 0.1 1.0943 1.0998

Pneumoconioses and chemical effects ................ J60-J66,J68 500-506 860 845 1.0178 0.0099 1.0 0.9983 1.0372

Pneumonitis due to solids and liquids ................. J69 507 10,183 9,104 1.1185 0.0048 0.4 1.1092 1.1279

Other diseases of respiratory system ................... J00-J06,J30-J39,

J67,J70-J98

034.0,460-465,

470-478,495,

508-519 16,656 14,269 1.1673 0.0052 0.4 1.1572 1.1774

Peptic ulcer .......................................................... K25-K28 531-534 3,574 3,686 0.9696 0.0045 0.5 0.9608 0.9784

Diseases of appendix ........................................... K35-K38 540-543 209 202 1.0347 0.0242 2.3 0.9873 1.0820

Hernia .................................................................. K40-K46 550-553 658 633 1.0395 0.0154 1.5 1.0094 1.0696

Chronic liver disease and cirrhosis...................... K70,K73-K74 571 21,688 20,920 1.0367 0.0027 0.3 1.0314 1.0420

Alcoholic liver disease .................................... K70 571.0-571.3 10,147 9,965 1.0183 0.0050 0.5 1.0085 1.0281

Other chronic liver disease and cirrhosis......... K73-K74 571.4-571.9 11,541 10,955 1.0535 0.0041 0.4 1.0454 1.0615

Cholelithiasis and other disorders of

gallbladder ........................................................ K80-K82 574-575 1,725 1,803 0.9567 0.0060 0.6 0.9450 0.9685

Nephritis, nephrotic syndrome and nephrosis

1

... N00-N07,N17-N19,

N25-N27

580-589

24,939 20,242 1.2320 0.0044 0.4 1.2234 1.2407

Acute and rapidly progressive nephritic and

nephritic syndrome ....................................... N00-N01,N04 580-581 161 249 0.6466 0.0342 5.3 0.5796 0.7136

Chronic glomerulonephritis, nephritis and

nephropathy not specified as acute or

chronic, and renal sclerosis unspecified .......

N02-N03,N05-N07,

N26 582-583,587 468 1,213 0.3858 0.0144 3.7 0.3575 0.4141

Renal failure

1

.................................................. N17-N19 584-586 24,290 18,758 1.2949 0.0050 0.4 1.2852 1.3047

Other disorders of kidney ................................ N25,N27 588-589 20 22 0.9091 0.0867 9.5 0.7392 1.0790

Infections of kidney............................................. N10-N12,N13.6,

N15.1

590

731 726 1.0069 0.0144 1.4 0.9786 1.0352

Hyperplasia of prostate........................................ N40 600 326 327 0.9969 0.0159 1.6 0.9658 1.0280

Inflammatory diseases of female pelvic organs... N70-N76 614-616 63 64 0.9844 0.0410 4.2 0.9040 1.0648

Pregnancy, childbirth and the puerperium

1

........ O00-099 630-676 * * * * * * *

Pregnancy with abortive outcome ................... O00-O07 630-639 * * * * * * *

Other complications of pregnancy,

childbirth and the puerperium ...................... O10-O99 640-676 * * * * * * *

Certain conditions originating in the perinatal

period................................................................ P00-P96 760-771.2,771.4-

779 10,184 9,555 1.0658 0.0033 0.3 1.0593 1.0724

Congenital malformations, deformations and

chromosomal abnormalities.............................. Q00-Q99 740-759 5,950 7,025 0.8470 0.0055 0.6 0.8362 0.8577

Symptoms, signs and abnormal clinical and

laboratory findings, not elsewhere classified ... R00-R99 780-799 16,940 17,732 0.9553 0.0034 0.4 0.9487 0.9620

All other diseases (Residual) ............................... Residual Residual 109,853 122,107 0.8996 0.0015 0.2 0.8968 0.9025

Accidents (unintentional injuries) ....................... V01-X59,Y85-Y86 31,084 30,163 1.0305 0.0014 0.1 1.0278 1.0333 E800-E869,E880-

-52-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table E. Comparable category codes and estimated comparability ratios for 113 selected causes of death, injury by firearms,

drug-induced deaths and alcohol-induced deaths according to the Ninth and Tenth Revisions,

International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

E929

Transport accidents.......................................... V01-V99,Y85 E800-E848,

E929.0,E929.1 17,547 17,586 0.9978 0.0006 0.1 0.9966 0.9990

Motor vehicle accidents

1

................................ V02-V04,V09.0,

V09.2,V12-V14,

V19.0-V19.2,19.4-

V19.6,V20-V79,

V80.3-V80.5,

V81.0-V81.1,

V82.0-V82.1,V83-

V86,V87.0-V87.8,

V88.0-V88.8,

V89.0,V89.2

E810-E825

16,632 17,051 0.9754 0.0006 0.1 0.9742 0.9766

Other land transport accidents

1

................... V01,V05-V06,

V09.1,V09.3-

V09.9,V10-V11,

V15-V18,V19.3,

V19.8-V19.9,

V80.0-V80.2,

V80.6-V80.9,

V81.2-V81.9,

V82.2-V82.9,

V87.8,V88.9,

V89.1,V89.3,V89.9

E800-E807,E826-

E829

* * * * * * *

Water, air and space, and other and

unspecified transport accidents and

their sequelae ............................................ V90-V99,Y85 E830-E848,

E929.0,E929.1 351 347 1.0115 0.0209 2.1 0.9706 1.0525

Nontransport accidents .................................... W00-X59,Y86 E850-E869,E880-

E928,E929.2-

E929.9 13,537 12,577 1.0763 0.0035 0.3 1.0696 1.0831

Falls ............................................................. W00-W19 E880-E888 5,173 6,152 0.8409 0.0049 0.6 0.8313 0.8505

Accidental discharge of firearms................. W32-W34 E922 493 466 1.0579 0.0127 1.2 1.0331 1.0828

Accidental drowning and submersion ......... W65-W74 E910 283 284 0.9965 0.0127 1.3 0.9716 1.0213

Accidental exposure to smoke, fire and

flames ........................................................ X00-X09 E890-E899 493 506 0.9743 0.0089 0.9 0.9568 0.9918

Accidental poisoning and exposure to

noxious substances .................................... X40-X49 E850-E869,

E924.1 * * * * * * *

Other and unspecified nontransport

accidents and their sequelae ..................... W20-W31,W35-

W64,W75-W99,

X10-X39,

X50-X59,Y86

E900-E909,E911-

E921,E923-

E924.0,E924.8-

E928,E929.2-

E929.9 6,698 4,721 1.4188 0.0123 0.9 1.3947 1.4428

Intentional self-harm (suicide) ............................ X60-X84,Y87.0 E950-E959 18,352 18,422 0.9962 0.0005 0.0 0.9952 0.9972

Intentional self-harm (suicide) by discharge

of s .................................................... X72-X74 E955.0-E955.4 14,157 14,183 0.9982 0.0007 0.1 0.9968 0.9996

Intentional self-harm (suicide) by other and

unspecified means and their sequelae........... X60-X71,X75-X84,

Y87.0

E950-E954,

E955.5-E959 4,195 4,239 0.9896 0.0023 0.2 0.9850 0.9942

Assault (homicide)............................................... X85-Y09,Y87.1 E960-E969 12,287 12,308 0.9983 0.0006 0.1 0.9972 0.9994

Assault (homicide) by discharge of firearms... X93-X95 E965.0-E965.4 8,718 8,745 0.9969 0.0008 0.1 0.9953 0.9985

Assault (homicide) by other and

unspecified

means and their sequelae ...............................

X85-X92,X96-Y09,

Y87.1

E960-E964,

E965.5-E969 3,569 3,563 1.0017 0.0024 0.2 0.9969 1.0064

Legal intervention................................................ Y35,Y89.0 E970-E978 * * * * * * *

Events of undetermined intent............................. Y10-Y34,Y87.2,

Y89.9

E980-E989

* * * * * * *

Discharge of firearms, undetermined intent .... Y22-Y24 E985.0-E985.4 * * * * * * *

firearm

-53-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table E. Comparable category codes and estimated comparability ratios for 113 selected causes of death, injury by firearms,

drug-induced deaths and alcohol-induced deaths according to the Ninth and Tenth Revisions,

International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Other and unspecified events of

undetermined intent and their sequelae ........ Y10-Y21,Y25-Y34,

Y87.2, Y89.9

E980-E984,

E985.5-E989

* * * * * * *

Operations of war and their sequelae .................. Y36,Y89.1 E990-E999 * * * * * * *

Complications of medical and surgical care........ Y40-Y84,Y88 E870-E879,E930-

E949 * * * * * * *

Injury by firearms

2

.............................................. W32-W34,X72-X7

4,X93-X95,Y22-Y2

4,Y35.0

E922,E955.0-

E955.4,E965.0-

E965.4,E970,

E985.0-E985.4 23,355 23,418 0.9973 0.0006 0.1 0.9961 0.9985

Drug-induced deaths

2

......................................... F11.0-F11.5,F11.7-

F11.9,F12.0-F12.5,

F12.7-F12.9,F13.0-

F13.5,F13.7-F13.9,

F14.0-F14.5,F14.7-

F14.9,F15.0-F15.5,

F15.7-F15.9,F16.0-

F16.5,F16.7-F16.9,

F17.0,F17.3-F17.5,

F17.7-F17.9,F18.0-

F18.5,F18.7-F18.9,

F19.0-F19.5,F19.7-

F19.9,X40-X44,

X60-X64,X85,Y10-

Y14

292,304,305.2-

305.9,E850-E858,

E950.0-E950.5,

E962.0,E980.0-

E980.5

1,158 969 1.1950 0.0225 1.9 1.1509 1.2391

Alcohol-induced deaths

2

..................................... F10,G31.2,G62.1,

I42.6,K29.2,K70,

R78.0,X45,X65,

Y15

291,303,305.0,

357.5,425.5,

535.3,571.0-

571.3,790.3,

E860

14,783

15,269

0.9682

0.0025

0.3

0.9633

0.9731

Figure does not meet standards of reliability or precision.

- - - Category not applicable.

0.0 Quantity more than zero but less than 0.05.

1

Included in selected categories.

2

Comparability ratio should be interpreted with caution due to concerns with its accuracy. See Comparability of cause of death between ICD-9 and ICD-10: Preliminary

estimates (29) and Deaths: Final data for 1999 (19).

-54-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table F. Comparable category codes and estimated comparability ratios for 130 selected causes of infant death according to the

Ninth and Tenth Revisions, International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Certain infectious and parasitic diseases ............

A00-B99 001-033,034.1-

134,136-139,

771.3

284 387 0.7339 0.0339 4.6 0.6673 0.8004

Certain intestinal infectious diseases............... A00-A08 001-008 * * * * * * *

Diarrhea and gastroenteritis of infectious

origin 1/ ......................................................... A09 009 - 144 0.0000 0.0000 0.0 0.0000 0.0000

Tuberculosis .................................................... A16-A19 010-018 * * * * * * *

Tetanus. ........................................................... A33,A35 037,771.3 * * * * * * *

Diptheria.......................................................... A36 032 * * * * * * *

Whooping cough. ............................................ A37 033 * * * * * * *

Meningococcal infection. ................................ A39 036 25 26 0.9615 0.0377 3.9 0.8876 1.0355

Septicemia ....................................................... A40-A41 038 167 121 1.3802 0.0713 5.2 1.2403 1.5200

Congenital syphillis......................................... A50 090 * * * * * * *

Gonococcal infection....................................... A54 098 * * * * * * *

Viral diseases .................................................. A80-B34 042-079 62 62 1.0000 0.0757 7.6 0.8517 1.1483

Acute poliomyelitis ..................................... A80 045 * * * * * * *

Varicella (chickenpox) ................................ B01 052 * * * * * * *

Measles........................................................ B05 055 * * * * * * *

Human immunodeficiency virus (HIV)

disease ....................................................... B20-B24 042-044 * * * * * * *

Mumps......................................................... B26 072 * * * * * * *

Other and unspecified viral diseases ........... A81-B00,B02-B04,

B06-B19,B25,

B27-B34

046-051,053-054,

056-071, 073-079

35 36 0.9722 0.1255 12.9 0.7262 1.2182

Candidiasis. ..................................................... B37 112 * * * * * * *

Malaria. ........................................................... B50-B54 084 * * * * * * *

Pneumocystosis ............................................... B59 136.3 * * * * * * *

All other and unspecified infectious and

parasitic diseases .......................................... A20-A32,A38,A42-

A49,A51-A53,A55-

A79,B35-B36,

B38-B49,B55-B58,

B60-B99

020-031,034.1-

035,039-041,080-

083,085-088,091-

097,099-111,114-

134,136.0-136.2,

136.4-139

*

Neoplasms ........................................................... C00-D48 140-239 73 72 1.0139 0.0420 4.1 0.9317 1.0961

Malignant neoplasms....................................... C00-C97 140-208 48 46 1.0435 0.0544 5.2 0.9369 1.1501

Hodgkin's disease and non-Hodgkin's

lymphomas ................................................ C81-C85 200-202 * * * * * * *

Leukemia..................................................... C91-C95 204-208 * * * * * * *

Other and unspecified malignant

neoplasms ................................................. C00-C80,C88-C90,

C96-C97

140-199,203

30 28 1.0714 0.0906 8.5 0.8939 1.2489

In situ neoplasms, benign neoplasms and

neoplasms of

behavior........................................................ D00-D48 210-239 25 26 0.9615 0.1131 11.8 0.7398 1.1833

Diseases of the blood and blood-forming

organs and certain disorders involving the

immune mechanism........................................... D50-D89 135, 279-289 35 50 0.7000 0.0803 11.5 0.5427 0.8573

Anemias........................................................... D50-D64 280-285 * * * * * * *

Other diseases of blood and blood-forming

organs ........................................................... D65-D76 286-289 * * * * * * *

Certain disorders involving the immune

mechanism.................................................... D80-D89 135,279 * * * * * * *

Endocrine, nutritional and metabolic

diseases............................................................. E00-E88 240-278 112 129 0.8682 0.0555 6.4 0.7595 0.9770

Short stature, not elsewhere classified ............ E34.3 259.4 * * * * * * *

uncertain or unknown

-55-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table F. Comparable category codes and estimated comparability ratios for 130 selected causes of infant death according to the

Ninth and Tenth Revisions, International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Malnutrition and other nutritional

deficiencies................................................... E40-E64 260-269 * * * * * * *

Cystic fibrosis.................................................. E84 277.0 * * * * * * *

Volume depletion, disorders of

electrolyte and acid-base balance ................. E86-E87 276 40 53 0.7547 0.0852 11.3 0.5878 0.9217

All other endocrine, nutritional and

metabolic diseases .........................................

E00-E32,E34.0-

E34.2,E34.4-E34.9,

E65-E83,

E85,E88

240-259.3,259.8-

259.9,270-275,

277.1-278

64 55 1.1636 0.0809 6.9 1.0051 1.3221

Diseases of the nervous system........................... G00-G98 320-359,435 305 286 1.0664 0.0263 2.5 1.0149 1.1180

Meningitis ....................................................... G00,G03 320-322 70 70 1.0000 0.0404 4.0 0.9208 1.0792

Infantile spinal muscular atrophy, type I

(Werdnig-Hoffman) ..................................... G12.0 335.0 47 47 1.0000 0.0521 5.2 0.8978 1.1022

Infantile cerebral palsy .................................... G80 343 * * * * * * *

Anoxic brain damage, not elsewhere

classified....................................................... G93.1 348.1 29 30 0.9667 0.1269 13.1 0.7179 1.2155

Other diseases of nervous system.................... G04,G06-G11,

G12.1-G12.9,G20-

G72,G81-G92,

G93.0,G93.2-

G93.9,G95-G98

323-334,335.1-

342,344-348.0,

348.2-359,435

145 126 1.1508 0.0532 4.6 1.0466 1.2550

Diseases of the ear and mastoid process ............. H60-H93 380-389 * * * * * * *

Diseases of the circulatory system ...................... I00-I99 390-434,436-459 419 587 0.7138 0.0244 3.4 0.6659 0.7617

Pulmonary heart disease and diseases of

pulmonary circulation .................................. I26-I28 415-417 138 123 1.1220 0.0447 4.0 1.0342 1.2097

Pericarditis, endocarditis and myocarditis....... I30,I33,I40 420-422 * * * * * * *

Cardiomyopathy .............................................. I42 425 82 84 0.9762 0.0166 1.7 0.9436 1.0088

Cardiac arrest .................................................. I46 427.5 25 87 0.2874 0.0508 17.7 0.1878 0.3869

Cerebrovascular diseases................................. I60-I69 430-434,436-438 77 163 0.4724 0.0510 10.8 0.3725 0.5723

All other diseases of circulatory system.......... I00-I25,I31,I34-I38,

I44-I45,I47-I51,

I70-I99

390-414,423-424,

426-427.4,427.6-

429,440-459 88 123 0.7154 0.0519 7.3 0.6137 0.8172

Disease of the respiratory system........................ J00-J98 034.0,460-519 420 516 0.8140 0.0220 2.7 0.7709 0.8570

Acute upper respiratory infections .................. J00-J06 034.0,460-465 * * * * * * *

Influenza and pneumonia ................................ J10-J18 480-487 231 303 0.7624 0.0261 3.4 0.7112 0.8135

Influenza...................................................... J10-J11 487 * * * * * * *

Pneumonia................................................... J12-J18 480-486 224 295 0.7593 0.0266 3.5 0.7072 0.8114

Acute bronchitis and acute bronchiolitis ......... J20-J21 466 33 41 0.8049 0.0758 9.4 0.6563 0.9534

Bronchitis, chronic and unspecified ................ J40-J42 490-491 * * * * * * *

Asthma ............................................................ J45-J46 493 * * * * * * *

Pneumonitis due to solids and liquids ............. J69 507 * * * * * * *

Other and unspecified diseases of

respiratory system ........................................ J22,J30-J39,

J43-J44,J47-J68,

J70-J98

470-479,492,494-

506,508-519

117 127 0.9213 0.0632 6.9 0.7973 1.0452

Diseases of the digestive system. ........................ K00-K92 520-579 278 167 1.6647 0.1084 6.5 1.4521 1.8772

Gastritis, duodenitis, and noninfective

enteritis and colitis ....................................... K29,K50-K55 535,555-558 137 47 2.9149 0.3879 13.3 2.1547 3.6751

Hernia of abdominal cavity and intestinal

obstruction without hernia............................ K40-K46,K56 550-553,560 * * * * * * *

All other and unspecified diseases of

digestive system ............................................

K00-K28,K30-

K38,K57-K92

520-534,536-

543,562-579 84 86 0.9767 7.3 0.8379

Diseases of the genitourinary system .................. N00-N98 580-629 117 117 1.0000 0.0567 5.7 0.8889 1.1111

Renal failure and other disorders of

N17-N19,N25,N27 584-589 102 98 1.0408 0.0658 6.3 0.9118 1.1699

fluid,

0.0708 1.1156

kidney...........................................................

-56-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table F. Comparable category codes and estimated comparability ratios for 130 selected causes of infant death according to the

Ninth and Tenth Revisions, International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Other and unspecified diseases of

genitourinary system .................................... N00-N15,N20-N23,

N26, N28-N98

580-583,590-629

* * * * * * *

Certain conditions originating in the perinatal

period................................................................ P00-P96 760-771.2,771.4-

779 10,047 9,495 1.0581 0.0032 0.3 1.0519 1.0643

Newborn affected by maternal factors and

by complications of pregnancy, labor and

delivery......................................................... P00-P04 760-763 1,305 1,256 1.0390 0.0099 1.0 1.0196 1.0585

Newborn affected by maternal

hypertensive disorders.............................. P00.0 760.0 23 22 1.0455 0.0465 4.4 0.9544 1.1365

Newborn affected by other maternal

conditions which may be unrelated to

present pregnancy..................................... P00.1-P00.9 760.1-760.6,

760.8-760.9 * * * * * * *

Newborn affected by maternal

complications of pregnancy ...................... P01 761 662 643 1.0295 0.0138 1.3 1.0024 1.0567

Newborn affected by incompetent

cervix..................................................... P01.0 761.0 205 201 1.0199 0.0188 1.8 0.9831 1.0567

Newborn affected by premature

rupture of membranes........................... P01.1 761.1 314 307 1.0228 0.0136 1.3 0.9962 1.0494

Newborn affected by multiple

pregnancy ............................................. P01.5 761.5 104 103 1.0097 0.0507 5.0 0.9103 1.1091

Newborn affected by other maternal

complications of pregnancy. ................ P01.2-P01.4,

P01.6-P01.9

761.2-761.4,

761.6-761.9 39 32 1.2188 0.1655 13.6 0.8945 1.5430

Newborn affected by complications of

placenta, cord and membranes .................. P02 762 579 553 1.0470 0.0128 1.2 1.0219 1.0721

Newborn affected by complications

involving placenta ................................. P02.0-P02.3 762.0-762.3 306 285 1.0737 0.0174 1.6 1.0395 1.1079

Newborn affected by complications

involving cord ....................................... P02.4-P02.6 762.4-762.6 * * * * * * *

Newborn affected by

chorioamnionitis................................... P02.7 762.7 258 255 1.0118 0.0163 1.6 0.9799 1.0436

Newborn affected by other and

unspecified abnormalities of

membranes. ........................................... P02.8-P02.9 762.8-762.9 * * * * * * *

Newborn affected by other complications

of labor and delivery. ............................... P03 763.0-763.4,

763.6-763.9 37 20 1.8500 0.3262 17.6 1.2107 2.4893

Newborn affected by noxious influences

transmitted via placenta or breast

milk ........................................................... P04 760.7, 763.5 * * * * * * *

Disorders related to length of gestation and

fetal malnutrition ........................................... P05-P08 764-766 3,843 3,474 1.1062 0.0064 0.6 1.0936 1.1188

Slow fetal growth and fetal

malnutrition ............................................... P05 764 34 30 1.1333 0.1004 8.9 0.9366 1.3301

Disorders related to short gestation and

low birth weight, not elsewhere

classified.................................................... P07 765 3,809 3,444 1.1060 0.0064 0.6 1.0934 1.1186

Extremely low birth weight or extreme

immaturity ............................................. P07.0,P07.2 765.0 2,835 2,558 1.1083 0.0079 0.7 1.0927 1.1239

Other low birth weight or preterm .......... P07.1,P07.3 765.1 974 886 1.0993 0.0135 1.2 1.0729 1.1258

Disorders related to long gestation and

high birth weight ...................................... P08 766 * * * * * * *

Birth trauma 1/ ................................................ P10-P15 767 5 113 0.0442 0.0197 44.5 0.0056 0.0829

Intrauterine hypoxia and birth asphyxia.......... P20-P21 768 401 277 1.4477 0.0599 4.1 1.3303 1.5650

Intrauterine hypoxia .................................... P20 768.2-768.4 57 63 0.9048 0.1227 13.6 0.6643 1.1452

Birth asphyxia ............................................. P21 768.5-768.9 344 214 1.6075 0.0763 4.7 1.4579 1.7571

-57-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table F. Comparable category codes and estimated comparability ratios for 130 selected causes of infant death according to the

Ninth and Tenth Revisions, International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Respiratory distress of newborn...................... P22 769 917 894 1.0257 0.0131 1.3 1.0001 1.0513

Other respiratory conditions originating in

the perinatal period...................................... P23-P28 770 1,160 1,372 0.8455 0.0216 2.6 0.8032 0.8878

Congenital pneumonia................................. P23 770.0 57 15 3.8000 0.9004 23.7 2.0352 5.5648

Neonatal aspiration syndromes ................... P24 770.1 78 56 1.3929 0.1115 8.0 1.1743 1.6114

Interstitial emphysema and related

conditions originating in the perinatal

period.......................................................... P25 770.2 146 121 1.2066 0.0595 4.9 1.0899 1.3233

Pulmonary hemorrhage originating in

the perinatal period................................... P26 770.3 212 145 1.4621 0.0751 5.1 1.3150 1.6092

Chronic respiratory disease originating

in the perinatal period................................ P27 770.7 243 214 1.1355 0.0327 2.9 1.0715 1.1995

Atelectasis .................................................. P28.0-P28.1 770.4-770.5 382 185 2.0649 0.1144 5.5 1.8406 2.2891

All other respiratory conditions

originating ........... P28.2-P28.9 770.6,770.8 42 636 0.0660 0.0101 15.2 0.0463 0.0858

Infections specific to the perinatal period ....... P35-P39 771.0-771.2,

771.4-771.8 563 552 1.0199 0.0261 2.6 0.9688 1.0710

Bacterial sepsis of newborn......................... P36 771.8 470 514 0.9144 0.0272 3.0 0.8611 0.9677

Omphalitis of newborn with or without

mild hemorrhage ....................................... P38 771.4 * * * * * * *

All other infections specific to the

perinatal period......................................... P35,P37,P39 771.0-771.2,

771.5-771.7 93 38 2.4474 0.3705 15.1 1.7211 3.1736

Hemorrhagic and hematological disorders

of ................................................... P50-P61 772-774, 776 390 274 1.4234 0.0640 4.5 1.2979 1.5488

Neonatal hemorrhage .................................. P50-P52,P54 772 319 222 1.4369 0.0698 4.9 1.3002 1.5737

Hemorrhagic disease of newborn................ P53 776.0 * * * * * * *

Hemolytic disease of newborn due to

isoimmunization and other perinatal

jaundice ..................................................... P55-P59 773-774 * * * * * * *

Hematological disorders.............................. P60-P61 776.1-776.9 * * * * * * *

Syndrome of infant of a diabetic mother

and neonatal diabetes mellitus......................... P70.0-P70.2 775.0-775.1 * * * * * * *

Necrotizing enterocolitis of newborn.............. P77 777.5 249 203 1.2266 0.0456 3.7 1.1371 1.3161

Hydrops fetalis not due to hemolytic

disease. ......................................................... P83.2 778.0 120 120 1.0000 0.0264 2.6 0.9483 1.0517

Other perinatal conditions. .............................. P29,P70.3-P76,

P78-P81,P83.0-

P83.1,P83.3-P96

775.2-775.9,

777.0-777.4,

777.6-777.9,

778.1-779 1092 954 1.1447 0.0192 1.7 1.1070 1.1823

Congenital malformations, deformations and

chromosomal abnormalities ............................. Q00-Q99 740-759 3,400 3,751 0.9064 0.0057 0.6 0.8953 0.9176

Anencephaly and similar malformations......... Q00 740 299 299 1.0000 0.0000 0.0 1.0000 1.0000

Congenital hydrocephalus. .............................. Q03 742.3 62 91 0.6813 0.0552 8.1 0.5732 0.7895

Spina bifida. .................................................... Q05 741 24 32 0.7500 0.0765 10.2 0.6000 0.9000

Other congenital malformations of nervous

system....................................................... Q01-Q02,Q04,

Q06-Q07

742.0-742.2,

742.4-742.9 191 177 1.0791 0.0477 4.4 0.9856 1.1725

Congenital malformations of heart.................. Q20-Q24 745-746 1,022 1,027 0.9951 0.0081 0.8 0.9793 1.0109

Other congenital malformations of

circulatory system. ........................................ Q25-Q28 747 75 121 0.6198 0.0504 8.1 0.5210 0.7186

Congenital malformations of respiratory

system........................................................... Q30-Q34 748 361 571 0.6322 0.0225 3.6 0.5882 0.6762

Congenital malformations of digestive

system........................................................... Q35-Q45 749-751 * * * * * * *

Congenital malformations of genitourinary

system........................................................... Q50-Q64 752-753 216 229 0.9432 0.0244 2.6 0.8955 0.9910

in the perinatal period.

newborn

-58-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table F. Comparable category codes and estimated comparability ratios for 130 selected causes of infant death according to the

Ninth and Tenth Revisions, International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Congenital malformations and deformation

of musculoskeletal system, limbs and

integument.................................................... Q65-Q85 754-757 269 311 0.8650 0.0319 3.7 0.8024 0.9275

Down's syndrome. ........................................... Q90 758.0 57 58 0.9828 0.0705 7.2 0.8446 1.1209

Edward's syndrome. ........................................ Q91.0-Q91.3 758.2 277 278 0.9964 0.0080 0.8 0.9807 1.0121

Patau's syndrome............................................. Q91.4-Q91.7 758.1 170 173 0.9827 0.0099 1.0 0.9632 1.0021

Other congenital malformations and

deformations................................................. Q10-Q18,Q86-Q89 743-744,759 304 312 0.9744 0.0210 2.2 0.9332 1.0155

Other chromosomal abnormalities,

not elsewhere classified................................ Q92-Q99 758.3-758.9 57 53 1.0755 0.0783 7.3 0.9221 1.2289

Symptoms, signs and abnormal clinical and

laboratory findings, not elsewhere classified. ... R00-R99 780-799 2,799 2,732 1.0245 0.0042 0.4 1.0163 1.0327

Sudden infant death syndrome 1/ .................... R95 798.0 2,575 2,485 1.0362 0.0040 0.4 1.0284 1.0440

Other symptoms, signs and abnormal

clinical and laboratory findings, not

elsewhere classified...................................... R00-R53,R55-594,

R96-R99

780-796,798.1-

799 224 247 0.9069 0.0270 3.0 0.8540 0.9598

All other diseases. ............................................... F01-F99,H00-H57,

L00-M99

290-319,360-379,

680-739 * * * * * * *

External causes of mortality. ...............................

V01-Y84 E800-E999

441 444 0.9932 0.0098 1.0 0.9741 1.0124

Accidents (unintentional injuries). ..................

V01-V59

E800-E869,E880-

E929 292 285 1.0246 0.0107 1.0 1.0037 1.0454

Transport accidents. ......................................

V01-V99 E800-E848,E920-

E929.1 99 108 0.9167 0.0294 3.2 0.8590 0.9743

Motor vehicle accidents. ......................... V02-V04,V09.0,

V09.2,V12-V14,

V19.0-V19.2,

V19.4-V19.6,V20-

V79,V80.3-V80.5,

V81.0-V81.1,

V82.0-V82.1,V83-

V86,V87.0-V87.8,

V88.0-V88.8,

V89.0,V89.2 E810-E825

95

98

0.9694

0.0176

1.8

0.9349

1.0039

Other and unspecified transport

accidents. .............................................. V01,V05-V06,

V09.1,V09.3-

V09.9,V10-V11,

V15-V18,V19.3,

V19.8,V19.9,

V80.0-V80.2,

V80.6-V80.9,

V81.2-V81.9,

V82.2-V82.9,

V87.9,V88.9,

V89.1,V89.3,

V89.9,V90-V99

E800-E807,E826-

E848, E929.0-

E929.1

*

Falls. ............................................................ W00-W19 * * * * * * *

Accidental discharge of firearms................. W32-W34 E922 * * * * * * *

Accidental drowning and submersion. ........ W65-W74 E910 * * * * * * *

Accidental suffocation and strangulation

in bed......................................................... W75 E913.0 * * * * * * *

Other accidental suffocation and

strangulation. ............................................ W76-W77,W81-

W84

E913.1-E913.9

79 69 1.1449 0.0537 4.7 1.0396 1.2502

Accidental inhalation and ingestion of

food or other objects causing

obstruction of respiratory tract ................. W78-W80 E911-E912 32 29 1.1034 0.0810 7.3 0.9447 1.2622

Accidents caused by exposure to smoke,

fire and flames........................................... X00-X09 E890-E899 * * * * * * *

-59-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table F. Comparable category codes and estimated comparability ratios for 130 selected causes of infant death according to the

Ninth and Tenth Revisions, International Classification of Diseases

Number of

deaths allocated

according to

95 percent

confidence limits

Cause of death (Based on the Tenth Revision,

International Classification of Diseases,

1992)

Category codes

according

to the

Tenth Revision

(ICD-10)

Category codes

according

to the

Ninth Revision

(ICD-9)

Tenth

Revision

Ninth

Revision

Estimated

compara-

bility

ratio

Relative

standard

error

Standard

error

Lower

Upper

Accidental poisoning and exposure to

noxious substances. ................................... X40-X49 E850-E869,

E924.1 * * * * * * *

Other and unspecified accidents.................. W20-W31,W35-

W64,W85-W99,

X10-X39,X50-X59

E900-E909,E914-

E921,E923-

E924.0,E924.8-

E929 * * * * * * *

Assault (homicide). ......................................... X85-Y09 E960-E968 146 154 0.9481 0.0179 1.9 0.9130 0.9831

Assault (homicide) by hanging,

strangulation and suffocation. .................. X91 E963 * * * * * * *

Assault (homicide) by discharge of

firearms. .................................................... X93-X95 E965.0-E965.4 * * * * * * *

Neglect, abandonment and other

maltreatment syndromes............................ Y06-Y07 E967,E968.4 * * * * * * *

Assault (homicide) by other and

unspecified means. ................................... X85-X90,X92,

X96-X99,Y00-

Y05,Y08-Y09

E960-E962,E964,

E965.5-E966,

E968.0-E968.3,

968.8-E968.9 91 88 1.0341 0.0417 4.0 0.9524 1.1158

Complications of medical and surgical

care. ...............................................................

Y40-Y84 E870-E879,E930-

E949 * * * * * * *

Other external causes. ..................................... X60-X84,Y10-Y36 E970-E979 * * * * * * *

* Figure does not meet standards of reliability or precision.

- Quantity zero.

0.0 Quantity more than zero but less than 0.05.

1/ Comparability ratio should be interpreted with caution due to concerns with its accuracy. See Comparability of cause of death between ICD-9 and ICD-10: Preliminary estimates (29)

and Deaths: Final data for 1999 (19).

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table G. Infant mortality rates by race of infant from the death certificate and by race of mother

from the birth certificate, and ratio of rates, 1995-96

[Rates per 1,000 live births in specified group]

Infant mortality rate

Race Race from

death certificate

Race from

birth certificate

Ratio

birth/

death

All races ...................................................... 7.5 7.4 0.99

White........................................................... 6.2 6.2 1.00

Black ........................................................... 14.9 14.4 0.97

American Indian

1

....................................... 8.3 9.5 1.14

Asian or Pacific Islander............................. 4.1 5.2 1.27

Chinese ..................................................... 2.9 3.5 1.21

Japanese.................................................... 2.3 4.7 2.04

Hawaiian................................................... 7.2 6.1 0.85

Filipino ..................................................... 3.4 5.7 1.68

Other Asian or Pacific Islander ................ 4.8 5.6 1.17

1

Includes Aleuts and Eskimos.

SOURCE: Rosenberg HM, Maurer JD, Sorlie PD, Johnson NJ, et al. Quality of death rates by race and Hispanic

origin: A summary of current research, 1999. National Center for Health Statistics. Vital Health Stat 2(128). 1999.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table H. Infant mortality rates by Hispanic origin of infant from the death certificate and by race

of mother from the birth certificate, and ratio of rates, 1996

[Rates per 1,000 live births in specified group]

Infant mortality rate

Race

Hispanic origin

from

death certificate

Hispanic origin

from

birth certificate

Ratio

linked file/

birth/death

All origins

1

................................................. 7.3 7.4 1.01

Total Hispanic............................................. 5.9 6.2 1.05

Mexican .................................................... 5.9 5.9 1.00

Puerto Rican ............................................. 7.8 8.7 1.12

Cuban........................................................ 5.1 5.2 1.02

Other Hispanic

2

....................................... 5.3 5.9 1.11

Non-Hispanic total

3

................................. 7.6 7.7 1.01

Non-Hispanic white.................................. 6.1 6.2 1.02

Non-Hispanic black .................................. 14.7 14.4 0.98

1

Includes Hispanic origin not stated.

2

Includes Central and South American and Other and unknown Hispanic.

3

Includes races other than white and black.

NOTE: Data exclude Oklahoma, which did not have a question on Hispanic origin on its death certificate.

SOURCE: Rosenberg HM, Maurer JD, Sorlie PD, Johnson NJ, et al. Quality of death rates by race and Hispanic

origin: A summary of current research, 1999. National Center for Health Statistics. Vital Health Stat 2(128). 1999.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table I. Population of birth- and death-registration States, 1900-1932, and United States, 1900-1999

[Population enumerated as of April 1 for 1940, 1950, 1960, 1970, 1980, and 1990 and estimated as of July 1 for all other years]

United States

1

United States

1

Birth-registration

States

Death-registration

States

Year

Population

including

Armed Forces

abroad

Population

residing

in

area

Year

Population

including

Armed Forces

abroad

Population

residing

in

area

Number

of

States

2

Population

residing

in

area

Number

of

States

2

Population

residing

in

area

1999 .............. 272,945,300 272,690,813 1949..............

149,188,000 148,665,000 . . . . . . . . . . . .

1998 .............. 270,509,187 270,298,524 1948..............

146,631,000 146,093,000 . . . . . . . . . . . .

1997 ............

267,901,000 267,636,061 1947.............. 144,126,000 143,446,000 . . . . . . . . . . . .

1996 .............. 265,556,890 265,283,783 1946.............. 141,389,000 140,054,000 . . . . . . . . . . . .

1995 .............. 263,033,968 262,755,270 1945.............. 139,928,000 132,481,000 . . . . . . . . . . . .

1994 .............. 260,650,842 260,340,990 1944.............. 138,397,000 132,885,000 . . . . . . . . . . . .

1994 .............. 258,119,768 257,783,004 1943.............. 136,739,000 134,245,000 . . . . . . . . . . . .

1992 .............. 255,457,501 255,077,536 1942.............. 134,860,000 133,920,000 . . . . . . . . . . . .

1991 .............. 252,688,000 252,177,000 1941.............. 133,402,000 133,121,000 . . . . . . . . . . . .

1990 .............. 249,225,000 248,709,873 1940.............. 131,820,000 131,669,275 . . . . . . . . . . . .

1989 .............. 247,342,000 246,819,000 1939.............. 131,028,000 130,879,718 . . . . . . . . . . . .

1988 .............. 245,021,000 244,499,000 1938.............. 129,969,000 129,824,939 . . . . . . . . . . . .

1987 .............. 242,804,000 242,289,000 1937.............. 128,961,000 128,824,829 . . . . . . . . . . . .

1986 .............. 240,651,000 240,133,000 1936.............. 128,181,000 128,053,180 . . . . . . . . . . . .

1985 .............. 238,466,000 237,924,000 1935.............. 127,362,000 127,250,232 . . . . . . . . . . . .

1984 .............. 236,348,000 235,825,000 1934.............. 126,485,000 126,373,773 . . . . . . . . . . . .

1983 .............. 234,307,000 233,792,000 1933.............. 125,690,000 125,578,763 . . . . . . . . . . . .

1982 .............. 232,188,000 231,664,000 1932.............. 124,949,000 124,840,471 47 118,903,899 47 118,903,899

1981 .............. 229,966,000 229,466,000 1931.............. 124,149,000 124,039,648 46 117,455,229 47 118,148,987

1980 .............. 227,061,000 226,545,805 1930.............. 123,188,000 123,076,741 46 116,544,946 47 117,238,278

1979 .............. 225,055,000 224,567,000 1929.............. - - - 121,769,939 46 115,317,450 46 115,317,450

1978 .............. 222,585,000 222,095,000 1928.............. - - - 120,501,115 44 113,636,160 44 113,636,160

1977 .............. 220,239,000 219,760,000 1927.............. - - - 119,038,062 40 104,320,830 42 107,084,532

1976 .............. 218,035,000 217,563,000 1926.............. - - - 117,399,225 35 90,400,590 41 103,822,683

1975 .............. 215,973,000 215,465,000 1925.............. - - - 115,831,963 33 88,294,564 40 102,031,555

1974 .............. 213,854,000 213,342,000 1924 ............. - - - 114,113,463 33 87,000,295 39 99,318,098

1973 .............. 211,909,000 211,357,000 1923.............. - - - 111,949,945 30 81,072,123 38 96,788,197

1972 .............. 209,896,000 209,284,000 1922.............. - - - 110,054,778 30 79,560,746 37 92,702,901

1971 .............. 207,661,000 206,827,000 1921.............. - - - 108,541,489 27 70,807,090 34 87,814,447

1970 .............. 204,270,000 203,211,926 1920.............. - - - 106,466,420 23 63,597,307 34 86,079,263

1969 .............. 202,677,000 201,385,000 1919.............. 105,063,000 104,512,110 22 61,212,076 33 83,157,982

1968 .............. 200,706,000 199,399,000 1918.............. 104,550,000 103,202,801 20 55,153,782 30 79,008,412

1967 .............. 198,712,000 197,457,000 1917.............. 103,414,000 103,265,913 20 55,197,952 27 70,234,775

1966 .............. 196,560,000 195,576,000 1916.............. 101,965,984 11 32,944,013 26 66,971,177

1965 .............. 194,303,000 193,526,000 1915.............. 100,549,013 10 31,096,697 24 61,894,847

1964 .............. 191,889,000 191,141,000 1914.............. 99,117,567 . . . . . . 24 60,963,309

1963 .............. 189,242,000 188,483,000 1913.............. 97,226,814 . . . . . . 23 58,156,740

1962 .............. 186,538,000 185,771,000 1912.............. 95,331,300 . . . . . . 22 54,847,700

1961 .............. 183,691,000 182,992,000 1911.............. 93,867,814 . . . . . . 22 53,929,644

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table I. Population of birth- and death-registration States, 1900-1932, and United States, 1900-1999

[Population enumerated as of April 1 for 1940, 1950, 1960, 1970, 1980, and 1990 and estimated as of July 1 for all other years]

United States

1

United States

1

Birth-registration

States

Death-registration

States

Year

Population

including

Armed Forces

abroad

Population

residing

in

area

Year

Population

including

Armed Forces

abroad

Population

residing

in

area

Number

of

States

2

Population

residing

in

area

Number

of

States

2

Population

residing

in

area

1960 .............. 179,933,000 1910.............. 92,406,536 . . . . . . 20 47,470,437

1959 .............. 177,264,000 176,513,000 1909.............. 90,491,525 . . . . . . 18 44,223,513

1958 .............. 174,141,000 172,320,000 1908.............. 88,708,976 . . . . . . 17 38,634,759

1957 .............. 171,274,000 170,371,000 1907.............. 87,000,271 . . . . . . 15 34,552,837

1956 .............. 168,221,000 167,306,000 1906.............. 85,436,556 . . . . . . 15 33,782,288

1955 .............. 165,275,000 164,308,000 1905.............. 83,819,666 . . . . . . 10 21,767,980

1954 .............. 162,391,000 161,164,000 1904.............. 82,164,974 . . . . . . 10 21,332,076

1953 .............. 159,565,000 158,242,000 1903.............. 80,632,152 . . . . . . 10 20,943,222

1952 .............. 156,954,000 155,687,000 1902.............. 79,160,196 . . . . . . 10 20,582,907

1951 .............. 154,287,000 153,310,000 1901.............. 77,585,128 . . . . . . 10 20,237,453

1950 .............. 151,132,000 150,697,361 1900.............. 76,094,134 . . . . . . 10 19,965,446

179,323,175

--- Data not available.

... Category not applicable.

1

Alaska included beginning 1959 and Hawaii, 1960.

2

The District of Columbia is not included in "Number of States," but it is represented in all data shown for each year.

SOURCE: Published and unpublished data from the U.S. Bureau of the Census; see text.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table J. Source for resident population and population including Armed Forces abroad:

Birth- and death-registration States, 1900-32, and United States, 1900-99

Year Source

1999 ...............

1998 ...............

1997 ...............

1996 ...............

1995 ...............

1994 ...............

1993 ...............

1992 ...............

1991 ...............

1990 ...............

1981-89 ..........

1980 ...............

1971-79 ..........

1970 ...............

1961-69 ..........

1960 ...............

1951-59 ..........

1940-50 ..........

1930-39 ..........

1920-29 ..........

1917-19 ..........

1900-16 ..........

U.S. Bureau of the Census, Electronic Data File, NESTV99, and unpublished data.

U.S. Bureau of the Census, Electronic Data File, NESTV98, and unpublished data.

U.S. Bureau of the Census, Electronic Data File, NESTV97, and unpublished data.

U.S. Bureau of the Census, Electronic Data File, RESD0796, and unpublished data.

U.S. Bureau of the Census, Electronic Data File, RESD0795, and unpublished data.

U.S. Bureau of the Census, Electronic Data File, RESD0794, and unpublished data.

U.S. Bureau of the Census, Electronic Data File, RESP0793, and unpublished data.

U.S. Bureau of the Census, Electronic Data File, RESP0792, and unpublished data.

U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 1095, 1993.

U.S. Bureau of the Census, Unpublished data from the 1990 census, 1990 CPH-L-74 and unpublished data

consistent with Current Population Reports, Series P-25, No. 1095.

U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 1095, 1993.

U.S. Bureau of the Census, U.S. Census of Population: 1980, Number of Inhabitants, PC-80-1A1,

United States Summary, 1983.

U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 917, July 1982.

U.S. Bureau of the Census, U.S. Census of Population: 1970, Number of Inhabitants, Final Report PC(1)-A1,

United States Summary, 1971.

U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 519, April 1974.

U.S. Bureau of the Census, U.S. Census of Population: PC(1)-A1,

United States Summary, 1964.

U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 310, June 30, 1965.

U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 499, May 1973.

U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 499, May 1973, and National Office of

Vital Statistics, Vital Statistics Rates in the United States, 1900-1940, 1947.

National Office of Vital Statistics, Vital Statistics Rates in the United States, 1900-1940, 1947.

Same as for 1930-39.

Same as for 1920-29.

1960, Number of Inhabitants,

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table K. Estimated population of the United States, by 5-year age groups, race, and sex: July 1, 1999

[Figures include Armed forces stationed in the United States and exclude those stationed outside the United States]

All races White All other

Total Black

Age

Both sexes Male Female Both sexes Male Female

All ages ............. 272,690,813 133,276,559 139,414,254 224,610,797 110,336,291 114,274,506 48,080,016 22,940,268 25,139,748 34,862,169 16,557,186 18,304,983

Under 1 year ........... 3,819,903 1,952,133 1,867,770 3,027,180 1,549,389 1,477,791 792,723 402,744 389,979 568,772 289,078 279,694

1-4 years ................ 15,122,239 7,730,542 7,391,697 12,015,456 6,155,680 5,859,776 3,106,783 1,574,862 1,531,921 2,226,888 1,129,687 1,097,201

5-9 years ................ 19,946,746 10,207,957 9,738,789 15,706,268 8,047,451 7,658,817 4,240,478 2,160,506 2,079,972 3,145,614 1,597,522 1,548,092

10-14 years............. 19,548,484 10,011,707 9,536,777 15,388,526 7,892,905 7,495,621 4,159,958 2,118,802 2,041,156 3,087,258 1,569,095 1,518,163

15-19 years............. 19,747,923 10,150,997 9,596,926 15,647,637 8,069,271 7,578,366 4,100,286 2,081,726 2,018,560 3,043,767 1,548,256 1,495,511

15-17 years

.......... 11,762,063 6,058,282 5,703,781 9,304,359 4,803,475 4,500,884 2,457,704 1,254,807 1,202,897 1,807,421 924,663 882,758

17-18 years

.......... 7,985,860 4,092,715 3,893,145 6,343,278 3,265,796 3,077,482 1,642,582 826,919 815,663 1,236,346 623,593 612,753

20-24 years............. 18,025,589 9,183,052 8,842,537 14,367,068 7,371,872 6,995,196 3,658,521 1,811,180 1,847,341 2,696,655 1,333,366 1,363,289

25-29 years............. 18,209,100 9,055,292 9,153,808 14,504,772 7,289,220 7,215,552 3,704,328 1,766,072 1,938,256 2,611,248 1,248,879 1,362,369

30-34 years............. 19,726,712 9,770,996 9,955,716 15,926,621 7,984,101 7,942,520 3,800,091 1,786,895 2,013,196 2,675,415 1,256,405 1,419,010

35-39 years............. 22,544,607 11,215,732 11,328,875 18,503,500 9,302,148 9,201,352 4,041,107 1,913,584 2,127,523 2,901,808 1,364,864 1,536,944

40-44 years............. 22,268,042 11,038,584 11,229,458 18,443,045 9,238,092 9,204,953 3,824,997 1,800,492 2,024,505 2,750,550 1,288,831 1,461,719

45-49 years............. 19,356,220 9,500,663 9,855,557 16,205,941 8,047,476 8,158,465 3,150,279 1,453,187 1,697,092 2,239,697 1,025,799 1,213,898

50-54 years............. 16,446,138 7,998,425 8,447,713 14,043,588 6,906,744 7,136,844 2,402,550 1,091,681 1,310,869 1,688,828 757,911 930,917

55-59 years............. 12,875,299 6,182,625 6,692,674 11,077,469 5,379,073 5,698,396 1,797,830 803,552 994,278 1,289,244 564,183 725,061

60-64 years............. 10,513,786 4,967,782 5,546,004 9,056,192 4,331,042 4,725,150 1,457,594 636,740 820,854 1,055,855 450,465 605,390

65-69 years............. 9,447,220 4,336,705 5,110,515 8,188,753 3,797,077 4,391,676 1,258,467 539,628 718,839 935,175 400,069 535,106

70-74 years............. 8,771,028 3,861,991 4,909,037 7,769,876 3,446,700 4,323,176 1,001,152 415,291 585,861 743,318 307,454 435,864

75-79 years............. 7,329,496 3,057,003 4,272,493 6,584,585 2,759,812 3,824,773 744,911 297,191 447,720 557,747 217,526 340,221

80-84 years............. 4,817,199 1,814,131 3,003,068 4,381,055 1,654,360 2,726,695 436,144 159,771 276,373 331,333 115,771 215,562

85 years and over...... 4,175,082 1,240,242 2,934,840 3,773,265 1,113,878 2,659,387 401,817 126,364 275,453 312,997 92,025 220,972

SOURCE: Published and unpublished data from the U.S. Bureau of the Census; see text.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table L. Estimated population, by age, for the United States, each division and State, Puerto Rico,

Virgin Islands, Guam, American Samoa, and Northern Marianas: July 1, 1999

[Figures include Armed Forces stationed in each area, and exclude Armed Forces stationed outside the United States]

Area

Under 1

year

1-4

years

5-14

years

15-24

years

25-34

years

35-44

years

45-54

years

55-64

years

65-74

years

75-84

years

85 years

and over

United States.... 272,690,813 3,819,903 15,122,239 39,495,230 37,773,512 37,935,812 44,812,649 35,802,358 23,389,085 18,218,248 12,146,695 4,175,082

Alabama ....... 4,369,862 59,792 231,041 590,148 624,730 614,609 692,778 582,175 406,637 310,568 192,412 64,972

Alaska .......... 619,500 9,703 40,062 113,329 104,654 72,283 106,349 91,254 47,116 21,975 10,377 2,398

Arizona......... 4,778,332 76,688 309,300 739,189 669,065 628,940 735,990 588,143 402,384 341,024 221,704 65,905

Arkansas ....... 2,551,373 35,799 141,850 366,129 367,919 327,575 378,711 326,205 245,843 191,328 125,515 44,499

California...... 33,145,121 503,227 1,996,031 5,058,628 4,684,221 5,114,990 5,592,337 4,107,384 2,440,771 1,930,889 1,292,566 424,077

Colorado 4,056,133 58,422 229,793 592,039 577,959 523,975 698,674 607,548 359,950 221,673 138,479 47,621

Connecticut ... 3,282,031 42,707 175,458 478,846 386,963 446,479 563,663 436,112 283,227 231,909 173,456 63,211

Delaware....... 753,538 10,299 39,866 102,238 99,302 113,221 130,219 97,062 63,196 54,477 33,517 10,141

District of

Columbia

.... 519,000 5,932 21,368 54,840 58,821 95,007 88,718 72,725 49,487 38,181 24,698 9,223

Florida .......... 15,111,244 190,737 761,637 2,033,258 1,820,203 1,881,169 2,357,168 1,891,468 1,433,755 1,429,984 991,262 320,603

Georgia......... 7,788,240 119,066 461,084 1,140,252 1,110,401 1,205,249 1,337,846 1,023,436 629,763 419,257 256,548 85,338

Hawaii .......... 1,185,497 16,742 63,645 162,143 166,543 146,817 198,212 165,659 103,847 88,018 56,576 17,295

Idaho ............ 1,251,700 18,863 73,972 192,032 209,572 154,208 186,707 163,298 111,019 73,510 50,592 17,927

Illinois .......... 12,128,370 176,578 701,101 1,783,938 1,662,918 1,701,968 2,002,805 1,569,666 1,033,219 771,168 532,621 192,388

Indiana ......... 5,942,901 82,957 330,718 850,473 841,153 823,952 962,925 784,770 522,933 391,285 261,480 90,255

Iowa ............. 2,869,413 36,380 146,440 402,039 417,004 356,641 440,536 379,687 262,199 207,766 156,221 64,500

Kansas .......... 2,654,052 37,382 146,631 387,725 398,281 340,484 427,182 342,695 219,593 175,171 127,266 51,642

Kentucky ...... 3,960,825 52,621 206,472 534,114 576,942 542,574 640,592 541,556 372,800 267,645 168,067 57,442

Louisiana ...... 4,372,035 64,438 249,712 659,054 697,815 571,970 674,905 568,266 384,417 277,259 168,291 55,908

Maine ........... 1,253,040 13,439 53,779 167,703 166,148 166,472 218,280 180,810 111,052 92,615 60,561 22,181

Maryland ...... 5,171,634 69,852 277,006 749,685 654,867 760,262 937,609 699,077 426,315 321,639 208,861 66,461

Massachusetts 6,175,169 79,438 312,802 840,989 748,057 939,471 1,056,482 824,911 513,288 430,160 314,187 115,384

Michigan....... 9,863,775 130,271 524,564 1,463,152 1,371,045 1,362,355 1,632,196 1,315,328 841,304 644,881 434,460 144,219

Minnesota ..... 4,775,508 63,931 257,692 720,497 683,731 629,537 813,063 627,419 394,244 290,556 210,388 84,450

Mississippi .... 2,768,619 41,463 160,972 415,669 437,233 378,055 417,349 342,086 240,300 182,203 112,170 41,119

Missouri........ 5,468,338 73,173 289,868 788,243 768,695 721,307 889,573 704,211 487,584 387,871 259,758 98,055

Montana........ 882,779 10,527 42,533 126,176 133,972 94,112 137,378 132,182 88,660 60,167 41,746 15,326

Nebraska....... 1,666,028 22,944 91,858 247,224 251,915 206,359 261,113 215,316 141,013 113,657 80,316 34,313

Nevada ......... 1,809,253 28,418 114,566 273,288 230,962 247,790 297,336 241,563 167,918 124,268 66,795 16,349

New

Hampshire

... 1,201,134 14,424 59,491 177,586 151,060 178,006 222,845 160,662 92,475 76,518 50,193 17,874

New Jersey.... 8,143,412 108,042 435,221 1,144,793 987,659 1,106,507 1,425,511 1,101,086 726,336 577,398 397,496 133,363

New Mexico .. 1,739,844 26,915 104,485 277,101 263,327 210,923 278,038 229,305 149,776 111,274 67,080 21,620

New York ..... 18,196,601 245,769 968,426 2,522,692 2,322,799 2,622,029 3,022,344 2,431,527 1,631,383 1,274,753 844,712 310,167

North

Carolina

...... 7,650,789 108,818 425,409 1,094,661 1,021,529 1,111,053 1,240,690 1,008,482 685,281 525,494 324,527 104,845

North Dakota. 633,666 7,692 31,606 89,204 100,097 77,782 97,360 82,205 55,337 44,830 32,792 14,761

Ohio ............. 11,256,654 148,237 591,975 1,604,821 1,564,312 1,531,688 1,827,324 1,494,236 992,925 789,012 535,631 176,493

Oklahoma ..... 3,358,044 47,986 184,631 488,327 504,049 417,337 508,480 439,147 319,389 238,257 153,232 57,209

Oregon ......... 3,316,154 44,248 175,353 461,205 458,239 424,653 527,012 488,428 301,917 218,382 160,451 56,266

Pennsylvania . 11,994,016 141,544 570,548 1,638,741 1,526,896 1,570,310 1,945,111 1,614,829 1,087,101 971,549 695,092 232,295

Rhode Island . 990,819 12,365 49,672 139,607 123,457 144,164 163,918 125,192 78,096 75,286 57,941 21,121

South

Carolina

...... 3,885,736 52,149 201,313 537,751 557,225 560,080 629,340 525,412 349,095 267,928 158,717 46,726

South

Dakota

........ 733,133 9,977 39,809 110,689 115,721 85,830 112,371 92,094 61,200 51,683 37,860 15,899

Tennessee ..... 5,483,535 75,211 291,633 746,320 747,565 776,272 897,425 753,637 514,518 370,485 231,574 78,895

Texas............ 20,044,141 333,219 1,306,356 3,136,761 3,043,095 2,771,877 3,261,864 2,554,534 1,619,938 1,108,940 674,010 233,547

Utah ............. 2,129,836 43,971 166,470 374,983 422,926 292,796 279,697 221,960 141,430 99,006 65,105 21,492

Vermont........ 593,740 6,400 25,636 80,765 79,740 83,144 104,763 88,898 51,478 38,063 25,165 9,688

Virginia ........ 6,872,912 91,463 359,175 936,269 951,171 1,047,601 1,193,584 931,107 587,657 427,961 262,908 84,016

Washington ... 5,756,361 77,940 311,996 836,854 817,496 789,042 985,915 804,248 475,558 334,588 240,165 82,559

West

Virginia

....... 1,806,928 19,814 80,944 226,047 256,094 226,085 270,058 265,863 189,127 146,139 94,835 31,922

Wisconsin .... 5,250,446 65,859 265,963 766,603 758,160 688,229 867,958 696,354 449,911 349,158 247,593 94,658

Total

-67-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table L. Estimated population, by age, for the United States, each division and State, Puerto Rico,

Virgin Islands, Guam, American Samoa, and Northern Marianas: July 1, 1999

[Figures include Armed Forces stationed in each area, and exclude Armed Forces stationed outside the United States]

Area

Under 1

year

1-4

years

5-14

years

15-24

years

25-34

years

35-44

years

45-54

years

55-64

years

65-74

years

75-84

years

85 years

and over

Wyoming ..... 479,602 6,071 24,306 70,410 79,804 52,573 74,345 71,140 45,323 30,440 18,726 6,464

Puerto Rico ..... 3,889,507 60,062 251,439 629,364 670,712 609,500 509,183 438,878 320,482 221,366 80,680 97,841

Virgin Islands.. 119,615 1,899 8,386 23,530 18,860 14,229 15,373 16,002 11,569 6,178 1,813 1,776

Guam ............. 151,968 4,214 16,577 31,843 21,326 21,652 22,025 16,455 8,973 6,051 1,558 1,294

American

Samoa

........... 63,781 1,676 6,819 16,414 11,217 8,287 7,333 5,346 3,785 2,074 449 381

Northern

Marianas

....... 69,216 1,322 4,971 10,212 10,878 17,946 14,152 6,442 2,161 795 198 139

Total

SOURCE: Published and unpublished data from the U.S. Bureau of the Census; see text.

-68-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table M. Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic population, and sex:

United States, July 1, 1999

[Figures include Armed Forces stationed in the United States and exclude those stationed outside the United States. Populations for all origins, Hispanic, non-Hispanic,

non-Hispanic white, and non-Hispanic black are postcensal estimates based on the 1990 census, estimated as of July 1, 1999; populations for Mexican, Puerto Rican,

Cuban, Central and South American and other and unknown Hispanic are based on the Current Population Survey adjusted to resident population control totals. Due

to rounding, population estimates for Hispanic subgroups may not add to Hispanic control totals.The control totals are 1990-based population estimates for the

United States for July 1, 1999; see text]

Hispanic Non-Hispanic

Sex and age

All

origins

Total Mexican

Puerto

Rican Cuban

Other

Hispanic

1

Total

2

White Black

Both sexes

All ages ...................................... 272,690,813 31,337,122 20,488,782 2,945,172 1,344,410 6,558,797 241,353,691 049,435 33,092,421

Under 1 year ................................. 3,819,903 721,512 512,263 60,495 16,287 132,460 3,098,391 366,679 528,998

1-4 years........................................ 15,122,239 1,982,862 231,465 54,265 477,011 12,376,647 504,144 2,074,442

5-9 years........................................ 19,946,746 2,282,612 269,965 62,448 628,012 16,703,706 748,940 2,961,201

10-14 years.................................... 19,548,484 1,882,506 274,588 72,907 509,386 16,809,093 913,252 2,925,762

15-19 years.................................... 19,747,923 1,916,741 281,289 77,446 504,884 16,967,557 116,918 2,890,618

20-24 years.................................... 18,025,589 1,871,070 224,286 58,630 535,844 15,335,769 902,736 2,555,750

25-29 years.................................... 18,209,100 1,798,723 211,884 70,634 488,713 15,639,148 159,026 2,474,893

30-34 years.................................... 19,726,712 1,705,225 239,422 104,817 610,754 17,066,506 508,484 2,521,909

35-39 years.................................... 22,544,607 1,584,034 236,592 110,610 652,180 19,961,185 157,243 2,747,911

40-44 years.................................... 22,268,042 1,341,143 203,038 97,790 522,844 20,103,231 481,842 2,618,544

45-49 years.................................... 19,356,220 1,002,838 168,952 86,244 399,617 17,698,566 702,438 2,140,338

50-54 years.................................... 16,446,138 705,315 148,785 83,600 319,298 15,189,133 898,332 1,616,691

55-59 years.................................... 12,875,299 533,127 98,958 75,934 224,244 11,943,043 226,211 1,235,670

60-64 years.................................... 10,513,786 390,906 94,106 97,688 164,072 9,767,024 372,235 1,013,555

65-69 years.................................... 9,447,220 326,275 71,225 82,751 131,804 8,835,165 627,871 899,880

70-74 years.................................... 8,771,028 271,561 56,063 62,208 99,848 8,281,358 317,379 717,911

75-79 years.................................... 7,329,496 185,622 38,746 63,674 63,203 6,978,251 258,533 540,772

80-84 years.................................... 4,817,199 106,660 23,510 33,992 39,027 4,614,009 191,691 321,931

85 years and over .......................... 4,175,082 89,299 11,803 32,485 55,596 3,985,909 595,481 305,645

Male

All ages ...................................... 133,276,559 15,761,482 10,548,482 1,419,464 646,862 3,146,678 1,419,464 862 3,146,678

Under 1 year ................................. 1,952,133 367,921 261,059 30,919 7,260 68,679 30,919 260 68,679

1-4 years........................................ 7,730,542 997,510 128,458 17,640 258,314 128,458 640 258,314

5-9 years........................................ 10,207,957 1,166,537 145,357 33,549 309,174 145,357 549 309,174

10-14 years.................................... 10,011,707 984,573 135,285 38,625 241,660 135,285 625 241,660

15-19 years.................................... 10,150,997 1,008,035 132,731 41,294 263,014 132,731 294 263,014

20-24 years.................................... 9,183,052 996,037 114,097 24,908 259,786 114,097 908 259,786

25-29 years.................................... 9,055,292 938,050 105,402 31,219 244,446 105,402 219 244,446

30-34 years.................................... 9,770,996 900,723 105,565 55,031 314,024 105,565 031 314,024

35-39 years.................................... 11,215,732 847,519 103,801 59,379 317,672 103,801 379 317,672

40-44 years.................................... 11,038,584 683,204 99,558 52,697 259,263 99,558 697 259,263

45-49 years.................................... 9,500,663 516,540 81,060 41,513 179,587 81,060 513 179,587

50-54 years.................................... 7,998,425 360,159 67,968 40,848 136,249 67,968 848 136,249

55-59 years.................................... 6,182,625 261,264 48,186 43,193 83,974 48,186 193 83,974

60-64 years.................................... 4,967,782 189,133 42,448 43,143 66,793 42,448 143

65-69 years.................................... 4,336,705 151,311 25,210 45,583 50,891 25,210 583 50,891

70-74 years.................................... 3,861,991 120,603 23,900 29,606 38,745 23,900 606 38,745

75-79 years.................................... 3,057,003 87,874 15,078 20,603 26,202 15,078 603 26,202

80-84 years.................................... 1,814,131 44,779 10,705 10,927 11,825 10,705 927 11,825

85 years and over .......................... 1,240,242 33,572 3,736 9,844 16,380 3,736 844 16,380

196,

2,

2,745,592 9,

3,243,040 12,

2,739,391 12,

2,780,366 13,

2,689,820 11,

2,569,952 12,

2,660,206 13,

2,583,422 16,

2,164,811 16,

1,657,654 14,

1,257,005 12,

932,256 10,

746,762 8,

612,055 7,

489,670 7,

351,245 6,

203,190 4,

189,173 3,

646,

7,

1,401,915 17,

1,654,620 33,

1,400,143 38,

1,445,082 41,

1,394,818 24,

1,319,120 31,

1,375,331 55,

1,328,380 59,

1,094,726 52,

818,707 41,

605,227 40,

436,613 43,

341,509 43,

272,995 45,

212,848 29,

149,756 20,

78,239 10,

63,532 9,

66,79

-69-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table M. Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic population, and sex:

United States, July 1, 1999

[Figures include Armed Forces stationed in the United States and exclude those stationed outside the United States. Populations for all origins, Hispanic, non-Hispanic,

non-Hispanic white, and non-Hispanic black are postcensal estimates based on the 1990 census, estimated as of July 1, 1999; populations for Mexican, Puerto Rican,

Cuban, Central and South American and other and unknown Hispanic are based on the Current Population Survey adjusted to resident population control totals. Due

to rounding, population estimates for Hispanic subgroups may not add to Hispanic control totals.The control totals are 1990-based population estimates for the

United States for July 1, 1999; see text]

Hispanic Non-Hispanic

Sex and age

All

origins

Total Mexican

Puerto

Rican Cuban

Other

Hispanic

1

Total

2

White Black

Female

All ages ......................................

139,414,254 575,640 9,940,300 1,525,708 697,548 3,412,119 123,838,614 100,087,357 17,418,360

Under 1 year .................................

1,867,770 591 251,204 29,576 9,027 63,781 1,514,179 1,154,113 260,295

1-4 years........................................

7,391,697 343,677 985,352 103,007 36,625 218,697 6,048,020 4,630,612 1,022,954

5-9 years........................................

9,738,789 588,420 1,116,075 124,608 28,899 318,838 8,150,369 6,209,300 1,458,543

10-14 years....................................

9,536,777 339,248 897,933 139,303 34,282 267,726 8,197,529 6,284,953 1,439,908

15-19 years....................................

9,596,926 335,284 908,706 148,558 36,152 241,870 8,261,642 6,364,387 1,421,534

20-24 years....................................

8,842,537 295,002 875,033 110,189 33,722 276,058 7,547,535 5,811,778 1,293,090

25-29 years....................................

9,153,808 250,832 860,673 106,482 39,415 244,267 7,902,976 6,076,568 1,293,186

30-34 years....................................

9,955,716 284,875 804,502 133,857 49,786 296,730 8,670,841 6,776,868 1,342,837

35-39 years....................................

11,328,875 255,042 736,515 132,791 51,231 334,508 10,073,833 8,062,787 1,461,476

40-44 years....................................

11,229,458 070,085 657,939 103,480 45,093 263,581 10,159,373 8,235,379 1,397,135

45-49 years....................................

9,855,557 947 486,298 87,892 44,731 220,030 9,016,610 7,397,437 1,163,815

50-54 years....................................

8,447,713 778 345,156 80,817 42,752 183,049 7,795,935 6,543,455 893,322

55-59 years....................................

6,692,674 643 271,863 50,772 32,741 140,270 6,197,031 5,246,222 696,270

60-64 years....................................

5,546,004 253 201,773 51,658 54,545 97,279 5,140,751 4,354,579 581,810

65-69 years....................................

5,110,515 060 174,964 46,015 37,168 80,913 4,771,455 4,081,378 515,270

70-74 years....................................

4,909,037 822 150,958 32,163 32,602 61,103 4,632,215 4,067,888 421,184

75-79 years....................................

4,272,493 489 97,748 23,668 43,071 37,001 4,071,004 3,638,263 330,105

80-84 years....................................

3,003,068 951 61,881 12,805 23,065 27,202 2,878,117 2,610,341 209,608

85 years and over ..........................

2,934,840 641 55,727 8,067 22,641 39,216 2,809,199 2,541,049 216,018

15,

353,

1,

838,

651,

495,

405,

339,

276,

201,

124,

125,

1

Includes Central and South American and Other and unknown Hispanic.

2

Includes races other than white and black.

-70-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table N. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed outside the United

States]

Race, sex, and marital

status

15 years

and over

15-17

years

18-19

years

20-24

years

25-29

years

30-34

years

35-39

years

40-44

years

45-49

years

All races .......................

214,253,450 11,762,059 7,985,858 18,025,599 209,082 726,707 544,605 22,268,056 19,356,216

Never married .................

59,325,869 11,582,708 648,528 14,049,500 264,643 178,476 024,422 3,004,323 1,955,335

Married ...........................

120,319,059 135,481 326,827 3,707,946 9,004,961 816,677 635,012 15,751,334 13,988,751

Widowed.........................

14,703,589 3,767 837 9,409 784 570 168,789 235,804 365,851

Divorced .........................

19,904,933 40,103 9,666 258,744 910,694 667,984 716,382 3,276,595 3,046,279

All races, male .............

103,374,198 6,058,281 092,723 9,183,056 055,281 770,990 11,215,723 11,038,589 9,500,649

Never married .................

32,158,349 5,988,047 014,939 7,660,754 714,638 985,958 339,670 1,744,853 1,040,125

Married ...........................

59,887,583 51,567 74,773 1,431,781 948,339 065,711 548,974 7,735,826 6,997,737

Widowed.........................

2,697,871 846 - 359 5,742 249 117 59,323 73,000

Divorced .........................

8,630,395 17,821 3,011 90,162 562 072 1,281,962 1,498,587 1,389,787

All races, female ..........

110,879,252 5,703,778 893,135 8,842,543 153,801 955,717 11,328,882 11,229,467 9,855,567

Never married .................

27,167,520 5,594,661 633,589 6,388,746 550,005 192,518 684,752 1,259,470 915,210

Married ...........................

60,431,476 83,914 252,054 2,276,165 056,622 750,966 086,038 8,015,508 6,991,014

Widowed.........................

12,005,718 2,921 837 9,050 042 321 123,672 176,481 292,851

Divorced .........................

11,274,538 22,282 6,655 168,582 132 912 1,434,420 1,778,008 1,656,492

White ...........................

178,473,363 9,304,356 6,343,280 14,367,072 504,770 926,617 503,497 18,443,051 16,205,947

Never married .................

44,853,837 9,160,893 040,987 10,845,868 020,921 655,633 811,620 2,114,571 1,391,147

Married ...........................

104,652,644 111,002 293,729 3,288,514 7,677,974 860,702 307,137 13,475,971 12,021,935

Widowed.........................

12,439,757 846 837 7,044 973 134 135,323 180,455 268,789

Divorced .........................

16,527,125 31,615 7,727 225,646 786,902 363,148 249,417 2,672,054 2,524,076

White, male..................

86,690,843 4,803,471 265,801 7,371,872 289,214 984,095 302,140 9,238,093 86,690,843

Never married ................. 24,910,873 3,195,536 3,550,133 578 797,922

Married ........................... 51,623,813 69,193 1,255,710 413,267 335

Widowed......................... 1,817,352 - - 5,742 11,672 46,570 53,742

Divorced ......................... 7,224,922 1,072 82,953 1,085,836 1,188,244

White, female...............

91,782,520 4,500,885 077,479 6,995,200 215,556 942,522 201,357 9,204,958 8,158,475

Never married ................. 19,792,379 2,845,451 2,470,788 042,042 593,225

Married ........................... 52,020,850 224,536 2,032,804 893,870 636

Widowed......................... 8,134,491 837 7,044 13,231 35,462 133,885 215,047

Divorced ......................... 9,175,418 6,655 142,693 1,163,581 1,335,832

Black ............................

25,833,663 1,807,421 236,352 2,696,654 611,238 675,423 901,806 2,750,556 2,239,695

Never married .................

11,191,899 1,781,607 215,444 2,404,161 625,501 205,459 002,891 773,114 478,085

Married ...........................

9,986,018 15,775 18,969 272,409 888,707 204,497 493,301 1,421,035 1,241,159

Widowed.........................

1,835,077 1,551 - 705 9,811 874 824 51,994 80,312

Divorced .........................

2,820,669 8,488 1,939 19,379 87,219 593 790 504,413 440,139

Black, male ..................

11,971,816 924,668 623,597 1,333,365 248,877 256,405 364,864 1,288,835 1,025,796

Never married ................. 5,474,842 911,449 616,078 1,223,006 973 373,903 207,552

Married ........................... 4,926,136 5,580 106,745 399,822 683,122

Widowed......................... 330,859 - - 7,510 12,587 19,258

Divorced ......................... 1,147,956 1,939 3,614 115,826 164,746 171,104

18, 19, 22,

7, 8, 5, 4,

12, 15,

28, 63,

1, 2,

4, 9, 9,

4, 4, 2, 2,

3, 6, 7,

12, 45,

386, 707,

3, 9, 9,

3, 3, 2, 1,

5, 6, 8,

23, 51,

524, 960,

14, 15, 18,

6, 6, 3, 2,

10, 13,

18, 47,

1, 2,

3, 7, 7, 9,

4,746,456 6,033,209 1,769,2,236,597 1,300,123

41,443 6,5,167,167 3,396,711 6,655, 6,007,564

846 33,459

14,726 568,659 336,628 1,236,065

3, 7, 7, 9,

4,414,437 4,812,659 1,1,419,036 814,448

69,559 6,5,693,535 4,281,263 6,820, 6,014,371

- 101,864

16,889 794,489 450,274 1,435,989

1, 2, 2, 2,

1, 1, 1, 1,

1, 1,

14, 20,

250, 384,

1, 1, 1,

564,809,493 457,056

10,124 735,552 575,606 627,882

- --

3,095 39,562 219,223

-71-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table N. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed outside the United

States]

Race, sex, and marital

status

15 years

and over

15-17

years

18-19

years

20-24

years

25-29

years

30-34

years

35-39

years

40-44

years

45-49

years

Black, female ............... 13,861,847 612,755 1,363,289 1,419,018 1,461,721

Never married ................. 5,707,169 870,158 599,366 1,181,155 486 399,211 270,533

Married ........................... 5,000,122 13,389 165,664 488,885 737,913

Widowed......................... 1,274,502 - 705 9,811 14,874 39,407 61,054

Divorced ......................... 1,659,079 - 15,765 47,657 285,190

American Indian

1,727,323 145,820 88,833 194,323 240 800 826 172,940 143,274

Never married .................

633,828 144,943 884 138,503 630 184 799 23,903 19,026

Married ...........................

830,015 877 949 43,930 77,204 311 708 123,435 103,792

Widowed.........................

91,473 - - 1,660 669 2,314 317 5,341

Divorced .........................

172,007 - - 10,230 406 636 005 25,285 15,115

American Indian, male .

846,883 73,686 239 97,859 070 196 251 84,868 69,536

Never married ................. 336,749 73,686 69,323 542 13,033 10,658

Married ........................... 412,809 - 25,640 38,522 53,411 56,856 48,275

Widowed......................... 17,674 - 359 166 -

Divorced ......................... 73,187 - 2,537 3,006 7,093 14,813 10,603

American Indian,

female ..............................

880,440 72,134 594 96,464 170 604 575 88,072 73,738

Never married ................. 294,122 71,257 69,180 088 10,870 8,368

Married ........................... 413,855 949 18,290 38,682 3,900 66,579 55,517

Widowed......................... 59,722 - 1,301 669 2,314 151 5,341

Divorced ......................... 98,820 - 7,693 13,400 10,543 10,472 4,512

Asian or Pacific

Islander ............................

8,219,101 504,462 393 767,550 834 867 476 901,509 767,300

Never married .................

2,646,305 495,265 213 660,968 591 200 112 92,735 67,077

Married ...........................

4,850,382 7,827 13,180 103,093 076 167 866 730,893 621,865

Widowed.........................

337,282 1,370 - - 893 10,328 3,038 11,409

Divorced .........................

385,132 - - 3,489 167 607 170 74,843 66,949

Asian or Pacific

Islander, male...................

3,864,656 256,456 086 379,960 120 294 468 426,793 357,845

Never married ................. 1,398,481 159,086 335,216 85,391 23,993

Married ........................... 2,258,060 - 43,686 113,284 269,527 340,513 314,016

Widowed......................... 41,488 - - 577 4,148 - -

Divorced ......................... 138,751 - 1,058 7,366 15,494 28,486 19,836

Asian or Pacific

Islander, female ...............

4,354,445 248,006 307 387,590 714 573 008 474,716 409,455

Never married ................. 1,244,147 145,127 325,752 85,721 43,084

Married ........................... 2,572,482 13,180 59,407 247,792 390,380

Widowed......................... 254,109 1,370 - 316 3,038 11,409

Divorced ......................... 243,141 - 2,431 12,801 21,113 46,357 47,113

882,753 1,362,361 1,536,942 1,213,899

640,816,008 545,835

5,651 757,749 628,891 613,277

1,551 13,314

5,393 220,044 134,767 269,035

193, 180, 185,

87, 99, 55, 38,

107, 114,

-

16, 17, 30,

44, 99, 92, 93,

44,239 57, 27,645 31,692

- 58,956

- ---

- 6,650

44, 94, 88, 92,

43,645 42, 11,154 23,492

877 55,752

- -

- 23,355

317, 899, 943, 953,

304, 518, 262, 171,

361, 644, 719,

-

20, 36, 52,

159, 418, 438, 455,

256,456 152,696 297,470 57,794

- 341,199

- -

- 24,730

158, 481, 505, 498,

238,809 109,504 221,121 34,941

7,827 378,667 374,640 307,849

- - 6,180

- 27,440

-72-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table N. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed outside the United

States]

Race, sex, and marital

status

50-54

years

55-59

years

60-64

years

65-69

years

70-74

years

75-79

years

80-84

years

85 years

and over

All races .......................

16,446,154 12,875,293 10,513,779 9,447,215 771,023 329,515 817,199 4,175,090

Never married .................

1,068,084 725,594 492 380,387 341 557 372 167,107

Married ...........................

12,358,855 9,451,058 702,145 6,557,705 564,075 087,013 140,287 1,090,932

Widowed.........................

508,973 765,285 052,824 1,622,145 225,898 580,336 297,925 2,773,392

Divorced .........................

2,510,242 1,933,356 1,268,318 886,978 709 609 615 143,659

All races, male .............

7,998,426 6,182,629 967,770 4,336,704 861,985 057,014 814,132 1,240,246

Never married .................

515,058 354,000 445 189,554 418 872 70,614 37,404

Married ...........................

6,368,717 4,870,688 011,164 3,470,345 049,782 289,115 306,299 666,765

Widowed.........................

101,507 151,363 338 298,246 261 206 816 490,498

Divorced .........................

1,013,144 806,578 823 378,559 524 821 53,403 45,579

All races, female ..........

8,447,728 6,692,664 546,009 5,110,511 909,038 272,501 003,067 2,934,844

Never married .................

553,026 371,594 047 190,833 923 685 758 129,703

Married ...........................

5,990,138 4,580,370 690,981 3,087,360 514,293 797,898 833,988 424,167

Widowed.........................

407,466 613,922 884,486 1,323,899 813,637 085,130 914,109 2,282,894

Divorced .........................

1,497,098 1,126,778 495 508,419 185 788 212 98,080

White ...........................

14,043,596 11,077,452 056,189 8,188,756 769,878 584,584 381,053 3,773,265

Never married .................

797,491 528,498 793 270,461 236 577 556 150,585

Married ...........................

10,766,533 8,301,773 856,322 5,868,081 042,556 777,465 994,969 1,007,981

Widowed.........................

393,305 606,144 808,083 1,315,983 874,202 242,505 052,220 2,487,914

Divorced .........................

2,086,267 1,641,037 1,004,991 734,231 884 037 308 126,785

White, male..................

6,906,739 5,379,069 331,036 3,797,084 446,701 759,816 654,357 1,113,883

Never married .................

393,077 273,664 091 138,800 97,861 050 61,776 30,694

Married ...........................

5,573,640 4,288,043 567,966 3,117,053 756,570 107,968 206,183 613,299

Widowed.........................

78,697 117,166 158 232,189 856 944 311 430,359

Divorced .........................

861,325 700,196 821 309,042 414 854 47,087 39,531

White, female...............

7,136,857 5,698,383 725,153 4,391,672 323,177 824,768 726,696 2,659,382

Never married .................

404,414 254,834 702 131,661 375 527 780 119,891

Married ...........................

5,192,893 4,013,730 288,356 2,751,028 285,986 669,497 788,786 394,682

Widowed.........................

314,608 488,978 680,925 1,083,794 529,346 816,561 712,909 2,057,555

Divorced .........................

1,224,942 940,841 170 425,189 470 183 221 87,254

Black ............................

1,688,830 1,289,253 1,055,854 935,171 319 759 334 312,998

Never married .................

235,758 175,889 693 98,798 051 506 054 9,888

Married ...........................

995,865 727,748 918 458,395 355 296 94,829 59,760

Widowed.........................

92,710 136,388 129 237,950 881 410 822 229,716

Divorced .........................

364,497 249,228 225,114 140,028 032 547 629 13,634

Black, male ..................

757,915 564,190 461 400,066 452 528 774 92,023

Never married .................

108,165 73,351 454 45,437 590 988 7,347 1,021

Married ...........................

501,005 365,032 980 241,335 252 897 68,202 35,989

Widowed.........................

20,546 33,334 107 51,868 885 779 985 50,363

Divorced .........................

128,199 92,473 920 61,426 725 864 4,240 4,650

8, 7, 4,

490, 314, 285, 186,

7, 5, 4, 2,

1, 2, 2, 2,

666, 376, 192,

4, 3, 3, 1,

257, 118, 126,

4, 3, 2, 1,

168, 412, 495, 383,

530, 281, 145,

5, 4, 4, 3,

233, 195, 158, 115,

3, 2, 1,

1, 2, 1,

737, 385, 230, 139,

9, 7, 6, 4,

386, 266, 246, 165,

6, 5, 3, 1,

1, 2, 2,

586, 318, 168,

4, 3, 2, 1,

208, 108,

3, 2, 2, 1,

127, 344, 425, 339,

427, 247, 117,

4, 4, 3, 2,

178, 168, 138, 103,

3, 2, 1,

1, 1, 1,

577, 339, 200, 121,

743, 557, 331,

95, 38, 33, 18,

540, 352, 200,

194, 289, 275, 198,

63, 48, 19,

450, 307, 217, 115,

43, 16, 16,

293, 200, 111,

27, 59, 62, 35,

85, 30, 25,

-73-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table N. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed outside the United

States]

Race, sex, and marital

status

50-54

years

55-59

years

60-64

years

65-69

years

70-74

years

75-79

years

80-84

years

85 years

and over

Black, female ...............

930,915 725,063 605,393 535,105 435,867 340,231 215,560 220,975

Never married .................

127,593 102,538 239 53,361 461 518 707 8,867

Married ...........................

494,860 362,716 938 217,060 103 88,399 26,627 23,771

Widowed.........................

72,164 103,054 022 186,082 996 631 837 179,353

Divorced .........................

236,298 156,755 139,194 78,602 307 683 389 8,984

American Indian

112,733 83,514 598 50,051 452 401 133 20,385

Never married .................

12,221 6,398 - 510 096 774 - 2,957

Married ...........................

75,581 57,839 431 33,941 029 349 9,288 3,351

Widowed.........................

4,553 6,952 657 11,427 726 537 7,243 14,077

Divorced .........................

20,378 12,325 510 4,173 601 741 602 -

American Indian, male .

54,152 39,470 127 22,577 173 472 7,743 6,464

Never married .................

6,066 894 - 400 - 2,957

Married ...........................

36,861 30,236 278 16,734 9,926 759 4,355 651

Widowed.........................

1,053 863 997 2,844 004 - 3,388 2,856

Divorced .........................

10,172 7,477 4,852 2,599 3,385 - -

American Indian,

female ..............................

58,581 44,044 471 27,474 279 929 390 13,921

Never married .................

6,155 5,504 - 110 238 061 - -

Married ...........................

38,720 27,603 23,153 17,207 103 590 933 2,700

Widowed.........................

3,500 6,089 660 8,583 722 11,537 855 11,221

Divorced .........................

10,206 4,848 658 1,574 216 741 602 -

Asian or Pacific

Islander ............................

600,995 425,074 138 273,237 374 771 85,679 68,442

Never married .................

22,614 14,809 006 10,618 958 700 762 3,677

Married ...........................

520,876 363,698 474 197,288 135 93,903 41,201 19,840

Widowed.........................

18,405 15,801 955 56,785 089 884 640 41,685

Divorced .........................

39,100 30,766 703 8,546 192 7,284 2,076 3,240

Asian or Pacific

Islander, male...................

279,620 199,900 156,146 116,977 659 198 258 27,876

Never married .................

7,750 6,091 900 4,917 109 121 491 2,732

Married ...........................

257,211 187,377 128,940 95,223 034 491 559 16,826

Widowed.........................

1,211 - 9,076 11,345 516 483 132 6,920

Divorced .........................

13,448 6,432 12,230 5,492 - 2,103 076 1,398

Asian or Pacific

Islander, female ...............

321,375 225,174 992 156,260 715 89,573 49,421 40,566

Never married .................

14,864 8,718 106 5,701 849 579 271 945

Married ...........................

263,665 176,321 132,534 102,065 101 412 642 3,014

Widowed.........................

17,194 15,801 879 45,440 573 401 508 34,765

Divorced .........................

25,652 24,334 473 3,054 192 5,181 - 1,842

52, 21, 16, 10,

246, 152,

167, 229, 212, 162,

32, 22, 15,

64, 40, 31, 19,

2, 1,

43, 19, 15,

11, 13, 11,

9, 5, 2, 2,

30, 18, 13,

713 858

20, 12,

4, 4,

-

34, 22, 17, 11,

1, 1,

9, 2, 4,

6, 9, 3,

4, 2, 2, 2,

337, 217, 155,

8, 7, 3, 2,

261, 150,

38, 48, 50, 39,

28, 11,

89, 66, 36,

5, 3, 1, 1,

83, 56, 27,

3, 6, 5,

2,

180, 127,

2, 4, 2, 1,

67, 37, 13,

29, 44, 44, 34,

16, 11,

- Quantity zero.

SOURCE: Population estimates based on unpublished tabulations prepared by the Housing and Household Economic Statistics

Division, U.S. Bureau of the Census.

-74-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table O. Estimated population for ages 15 years and over, by 5-year age groups, marital status, specified Hispanic

origin, race for non-Hispanic population, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed

outside the United States]

Hispanic origin, race for non-

Hispanic origin, sex, and marital

status

15 years

and over

15-17

years

18-19

years

20-24

years

25-29

years

30-34

years

35-39

years

40-44

years

45-49

years

Mexican, male

Never married...................... 2,519,541 656,294 242,842 161,611 37,085

Married ................................ 3,456,600 19,962 241,450 465,413 448,690

Widowed ............................. 97,884 519 590 3,870 1,933 2,789

Divorced.............................. 324,767 519 20,171 50,894 47,110 48,845

Mexican, female

Never married...................... 1,605,553 384,360 130,512 82,695 35,544

Married ................................ 3,316,475 362,360 497,639 393,823

Widowed ............................. 305,267 5,224 950 7,917 13,276

Divorced.............................. 403,100 15,713 24,982 50,671 64,296 63,446

Puerto Rican, male

Never married...................... 420,535 57,478 24,469 8,258

Married ................................ 465,856 2,183 14,525 35,538 79,165 65,346 54,670

Widowed ............................. 15,354 - 437 381

Divorced.............................. 82,761 417 1,592 3,072 9,149 18,991 15,156

Puerto Rican, female

Never married...................... 421,129 100,010 49,974 18,638 13,748

Married ................................ 506,147 1,771 22,391 64,706 86,943 61,894 52,883

Widowed ............................. 75,382 - 682 1,902 2,799 3,140

Divorced.............................. 134,542 4,750 4,856 16,900 26,981 14,953

Cuban, male

Never married...................... 149,860 23,370 8,567 1,530

Married ................................ 301,052 7,172 19,422 39,508 26,213 24,868

Widowed ............................. 11,047 - - 1,407

Divorced.............................. 54,900 634 6,825 12,422 6,047

Cuban, female

Never married...................... 89,519 6,581 767 3,600

Married ................................ 264,100 553 9,326 19,304 33,579 26,774 27,895

Widowed ............................. 64,623 678 - 813 1,943

Divorced.............................. 63,263 1,098 5,839 4,413 6,165 11,489

Other Hispanic, male

Never married...................... 980,896 258,537 108,480 67,872 21,649

Married ................................ 1,121,256 51,015 97,256 156,705

Widowed ............................. 21,447 - 477 - 3,224

Divorced.............................. 135,568 - 3,016 3,210 21,192 26,539 21,707

329,226 497,545 472,017 84,215

3,249 527,743 587,998 329,809

-- 2,861

2,596 9,060 51,320

242,190 403,590 201,913 43,066

51,303 16,230 489,264 551,978 288,870

--- 5,758

-- 63,103

84,399 54,911 94,506 41,636 39,021

357 76,335

--- --

- 12,262

84,069 47,960 32,743 38,673

477 72,838

---

-- 26,667

30,108 10,428 13,891 20,550 18,252

-- 26,510

--- --

--- 8,828

19,588 10,072 16,386 4,777 7,266

- 32,840

- - --

-- 7,389

114,605 158,752 186,079 27,714

2,584 2,839 192,535 183,529 133,470

--- -

580 19,567

-75-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table O. Estimated population for ages 15 years and over, by 5-year age groups, marital status, specified Hispanic

origin, race for non-Hispanic population, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed

outside the United States]

Hispanic origin, race for non-

Hispanic origin, sex, and marital

status

15 years

and over

15-17

years

18-19

years

20-24

years

25-29

years

30-34

years

35-39

years

40-44

years

45-49

years

Other Hispanic, female

Never married...................... 716,678 97,814 33,033 17,193

Married ................................ 1,238,828 3,337 156,007 183,354

Widowed ............................. 174,577 319 2,006 1,188 7,420 10,208

Divorced.............................. 215,418 2,572 11,978 23,913 32,816 28,999

White non-Hispanic, male

Never married...................... 20,232,753 436,784 3,084,799 393,808 604,120

Married ................................ 45,808,695 1,034,108 3,040,868 856,204 263

Widowed ............................. 2,118,813 1,047 4,173 17,509 32,475 41,723

Divorced.............................. 6,140,710 5,177 81,143 295,885 125 981,374

White non-Hispanic, female

Never married...................... 15,915,208 2,199,227 2,131,690 787,428 406,262

Married ................................ 45,942,911 162,372 1,649,882 3,831,709 233,162 416

Widowed ............................. 9,612,474 - 12,610 117,271 188,366

Divorced.............................. 8,072,530 188,240 779,045 1,070,714 1,182,599

Black non-Hispanic, male

Never married...................... 4,998,082 513 771,661 606,535 299,142 145,247

Married ................................ 4,427,255 5,983 120,860 343,635 585,907

Widowed ............................. 322,408 828 875 5,238 6,939 13,053

Divorced.............................. 978,369 16,290 53,293 194,857

Black non-Hispanic, female

Never married...................... 5,043,212 507 798,240 616,828 271,207 187,888

Married ................................ 4,685,813 159,470 408,782 715,416

Widowed ............................. 1,336,536 502 3,995 24,345 46,259

Divorced.............................. 1,467,468 1,264 11,594 76,235 251,716

Other non-Hispanic, male

Never married...................... 1,516,684 391,376 172,954 91,639 33,230

Married ................................ 2,111,795 - 30,097 129,262 271,752 313,104 273,699

Widowed ............................. 70,834 247 4,948 957 - 4,670

Divorced.............................. 186,462 2,090 14,537 21,173 38,795 26,275

Other non-Hispanic, female

Never married...................... 1,215,568 328,347 80,905 61,023 24,129

Married ................................ 2,443,146 1,407 229,699 365,046

Widowed ............................. 346,670 743 - 8,795 2,690 19,225

Divorced.............................. 269,014 3,438 7,925 36,990 52,437 48,883

150,648 100,400 157,948 38,182 64,412

69,080 11,426 196,330 204,686 125,685

-- 2,533

-- 44,479

2,3,869,158 4,791,353 1,1,968,241 986,648

51,364 16,381 5,4,775,272 5,710, 5,420,984

-- 14,847

10,646 948,680,562 1,007,65-

3,598,503 3,806,879 1,197,055 619,215

45,611 6,5,461,323 5,768, 5,342,823

1,909 7,236 70,191 32,521

5,348 8,471 438,704 1,243,509

531,828,885 1,064,251 478,469

13,666 663,539 521,931 544,127

-- 2,150

1,498 2,390 106,910 103,279 161,687

504,800,185 1,063,079 468,821

24,776 12,697 692,146 643,048 580,199

2,470 1,113 25,727 11,455

998 231,246 132,119 222,646

155,049 256,973 317,310 57,787

1,486 339,611

-- -

-- 28,874

137,407 246,720 259,882 38,258

92,638 11,636 394,057 380,819 298,683

1,468 3,049 3,745

-- 36,718

-76-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table O. Estimated population for ages 15 years and over, by 5-Year age groups, marital status, race, and specified

Hispanic origin, race for non-Hispanic population, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed

outside the United States]

Hispanic origin, race for non-

Hispanic origin, sex, and marital

status

50-54

years

55-59

years

60-64

years

65-69

years

70-74

years

75-80

years

80-84

years

85 ears

and over

Mexican, male

Never married ...................... 13,133 13,809 1,355 2,602 1,946

Married ................................ 241,710 72,364 16,831

Widowed.............................. 7,203 12,886 19,500 8,741 6,508

Divorced .............................. 39,766 6,516 2,956

Mexican, female

Never married ...................... 22,280 6,987 961 5,689

Married ................................ 211,565 48,459 8,598

Widowed.............................. 14,460 49,341 31,426

Divorced .............................. 37,011 18,176 1,611

Puerto Rican, male

Never married ...................... 8,084 5,547 1,409 817 -

Married ................................ 35,454 14,468 1,377

Widowed.............................. 710 712 2,472 1,404

Divorced .............................. 12,513 801 - 603 660

Puerto Rican, female

Never married ...................... 11,607 12,290 098 1,346 678 1,111

Married ................................ 54,591 11,589 2,212

Widowed.............................. 5,202 10,818 9,584

Divorced .............................. 7,328 2,549 2,426 - -

Cuban, male

Never married ...................... 2,344 688 3,121 4,510

Married ................................ 19,474 19,896 8,453 8,542

Widowed.............................. - - 819 2,124 513 1,134

Divorced .............................. 1,657 8,957 6,636 1,001 -

Cuban, female

Never married ...................... 4,074 1,281 3,924

Married ................................ 12,501 14,776 2,337

Widowed.............................. - 9,877 8,269

Divorced .............................. 4,282 748 7,788 -

Other Hispanic, male

Never married ...................... 11,768 11,353 102 1,441 - 248

Married ................................ 91,817 21,817 4,802 3,020

Widowed.............................. - 4,985 1,424

Divorced .............................. 13,806 6,333 -

y

2,123 3,738 -

104,915 164,337 167,307 27,252 37,570

6,483 4,643 19,358

10,852 14,546 14,217 1,621 3,778

11,030 11,002 16,018 7,716

102,134 109,912 154,209 14,578 15,553

41,439 33,943 14,564 36,400 50,569

10,266 22,701 25,385 1,168 4,571

- --

16,956 19,378 40,696 1,079 8,329

2,489 3,847 1,692 1,210

3,224 3,051 1,270

3,4,740 444

13,621 21,712 30,379 2,558 5,582

9,662 9,193 7,055 7,869 7,476

10,256 15,596 1,280

2,1,041 8,544 506 410

35,308 29,130 23,498 13,058

1,864 3,186

968 381 544

1,874 1,422 4,477 1,747 1,683

25,256 28,157 21,111 4,121 5,570

4,568 3,787 2,598 13,267 18,823

3,247 4,897 1,393 4,515

3,6,968 2,328

52,450 37,757 72,489 17,171

2,578 1,518 1,013 2,841 3,387

1,427 5,480 5,724 2,824 4,163

-77-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table O. Estimated population for ages 15 years and over, by 5-Year age groups, marital status, race, and specified

Hispanic origin, race for non-Hispanic population, and sex: United States, 1999

[Figures may be subject to large sampling variability. Figures include Armed Forces stationed in the United States and exclude those stationed

outside the United States]

Hispanic origin, race for non-

Hispanic origin, sex, and marital

status

50-54

years

55-59

years

60-64

years

65-69

years

70-74

years

75-80

years

80-84

years

85 ears

and over

Other Hispanic, female

Never married ...................... 15,282 11,588 5,601 4,148

Married ................................ 101,942 18,623 509

Widowed.............................. 5,865 24,117 19,173

Divorced .............................. 17,911 7,938 2,686 - -

White non-Hispanic, male

Never married ...................... 294,319 128,366 50,836

Married ................................ 4,312,637 115,895 2,544,486 1,007,921

Widowed.............................. 51,659 87,985 329,166 385,578

Divorced .............................. 683,412 215,456 43,217 21,540

White non-Hispanic, female

Never married ...................... 224,959 125,787 90,893 113,784

Married ................................ 4,153,330 134 2,157,548 1,361,697 276,001

Widowed.............................. 256,024 1,138,359 1,744,501 1,837,174

Divorced .............................. 887,305 287,533 95,549 87,211

Black non-Hispanic, male

Never married ...................... 105,420 13,732 3,259 9,753

Married ................................ 387,941 172,690 60,800 45,460

Widowed.............................. 4,434 57,288 24,945

Divorced .............................. 104,241 32,329 6,906 1,405

Black non-Hispanic, female

Never married ...................... 99,541 29,484 4,073 21,771

Married ................................ 381,748 130,712 17,898

Widowed.............................. 85,113 200,098 146,967

Divorced .............................. 176,252 106,506 45,462 9,384

Other non-Hispanic, male

Never married ...................... 6,709 16,702 181 2,190 - -

Married ................................ 208,912 90,114 72,279 22,908

Widowed.............................. 2,804 15,774 6,489 7,951 1,860

Divorced .............................. 24,293 10,490 5,270 - - -

Other non-Hispanic, female

Never married ...................... 8,877 5,810 -

Married ................................ 216,793 77,480 55,431 2,517

Widowed.............................. 25,563 53,206 35,852

Divorced .............................. 21,608 9,813 1,888 - -

y

7,427 6,376 3,715 2,911

33,579 53,118 69,617 1,818 9,717

30,130 17,377 11,280 20,393 22,568

15,273 18,267 8,586

158,619 173,378 185,559 51,286 55,479

3,3,605,580 3,040,935 1,833,929 441,868

260,802 141,610 342,436 407,803

244,405 354,879 462,413 104,826

167,151 143,122 159,275 143,978

2,864,3,368,120 2,624,483 642,300

628,151 361,998 1,551,446 1,664,717

413,696 505,953 693,146 185,507

34,111 29,835 65,818 10,451

233,617 298,375 315,356 113,368

70,483 26,090 25,857 29,261 54,967

40,861 54,888 79,486 18,049

32,970 56,172 71,643 16,803

219,918 262,591 328,588 35,566 72,258

188,740 142,607 114,507 148,380 194,258

71,194 82,988 17,664 30,200

1,5,811 7,773

136,233 157,069 27,324 37,945

1,336 5,015 18,783

4,800 9,865

5,255 7,904 7,304 1,201 2,546

114,609 155,141 14,513 32,677

60,016 33,877 31,079 29,729 37,633

22,548 19,001 7,765

- Quantity zero.

SOURCE: Population estimates based on unpublished tabulations prepared by the Housing and Household Economic Statistics

Division, U.S. Bureau of the Census.

-78-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table P. Estimated population for ages 25-64 years, by educational attainment, race, and sex:

Total of 46 reporting States and the District of Columbia, July 1, 1999

[Figures include Armed forces stationed in the United States and exclude those stationed outside the United States]

Race, sex, and years of school completed

25-64

years

25-34

years

35-44

years

45-54

years

55-64

years

All races

1

, both sexes .............................................................. 134,833,509 36,084,064 42,608,999 33,842,243

Under 12 years .................................................................. 17,266,667 4,433,942 4,933,222 3,819,020

12 years ............................................................................. 44,118,610 11,032,314 14,373,871 10,601,169 ,111,256

13 years or more................................................................ 73,448,232 20,617,808 23,301,906 19,422,054 ,464

Male.........................................................................................

66,309,181 17,920,066 21,187,418 16,562,700 638,997

Under 12 years .................................................................. 8,790,283 2,371,126 2,629,132 1,855,186

12 years ............................................................................. 21,261,941 5,762,296 7,282,051 4,733,429 4,165

13 years or more................................................................ 36,256,957 9,786,644 11,276,235 9,974,085 3

Female .....................................................................................

68,524,328 18,163,998 21,421,581 17,279,543 659,206

Under 12 years .................................................................. 8,476,384 2,062,816 2,304,090 1,963,834

12 years ............................................................................. 22,856,669 5,270,018 7,091,820 5,867,740 7,091

13 years or more................................................................ 37,191,275 10,831,164 12,025,671 9,447,969 71

White, both sexes .................................................................... 112,335,903 29,155,655 35,262,242 28,667,327 19,250,679

Under 12 years .................................................................. 13,611,638 3,580,403 3,883,472 3,006,966

12 years ............................................................................. 36,754,922 8,850,168 11,883,882 8,862,448 58,424

13 years or more................................................................ 61,969,343 16,725,084 19,494,888 16,797,913 458

Male.........................................................................................

55,818,055 14,649,994 17,712,117 14,187,971 267,973

Under 12 years .................................................................. 7,087,434 1,966,689 2,132,436 1,490,255

12 years ............................................................................. 17,750,947 4,657,801 6,045,832 3,956,186 1,128

13 years or more................................................................ 30,979,674 8,025,504 9,533,849 8,741,530

Female .....................................................................................

56,517,848 14,505,661 17,550,125 14,479,356 982,706

Under 12 years .................................................................. 6,524,204 1,613,714 1,751,036 1,516,711

12 years ............................................................................. 19,003,975 4,192,367 5,838,050 4,906,262 7,296

13 years or more................................................................ 30,989,669 8,699,580 9,961,039 8,056,383

Black, both sexes .................................................................... 15,660,148 4,757,671 5,164,930 3,574,165 3,382

Under 12 years .................................................................. 2,681,338 616,583 776,806 568,891

12 years ............................................................................. 5,790,435 1,766,115 1,966,561 1,320,021 38

13 years or more................................................................ 7,188,375 2,374,973 2,421,563 1,685,253

Male.........................................................................................

7,255,471 2,245,383 2,431,073 1,622,199 816

Under 12 years .................................................................. 1,274,236 282,543 372,941 268,219

12 years ............................................................................. 2,822,519 917,508 1,011,877 596,917

13 years or more................................................................ 3,158,716 1,045,332 1,046,255 757,063

Female .....................................................................................

8,404,677 2,512,288 2,733,857 1,951,966 206,566

Under 12 years .................................................................. 1,407,102 334,040 403,865 300,672

12 years ............................................................................. 2,967,916 848,607 954,684 723,104

13 years or more................................................................ 4,029,659 1,329,641 1,375,308 928,190

22,298,203

4,080,483

8

10,106

10,

1,934,839

3,48

5,219,99

11,

2,145,644

4,62

4,886,4

3,140,797

7,1

8,951,

9,

1,498,054

3,09

4,678,791

9,

1,642,743

4,06

4,272,667

2,16

719,058

737,7

706,586

956,

350,533

296,217

310,066

1,

368,525

441,521

396,520

1/ Includes races other than white and black.

SOURCE: Population estimates based on unpublished tabulations prepared by the Housing and Household Economic Statistics

Division, U.S. Bureau of the Census.

-79-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table Q. Ratio of census-level resident population to resident population adjusted for estimated net

census undercount by age, sex, and race: April 1, 1990

All races White Black

Age

Both

sexes Male Female

Both

sexes Male Female

Both

sexes Male Female

All ages................................... 0.9815 0.9721 0.9906 0.9802 0.9728 0.9873 0.9432 0.9151 0.9699

Under 5 years............................... 0.9632 0.9634 0.9677 0.9685 0.9669 0.9139 0.9182

Under 1 year ............................. 0.9686 0.9684 0.9730 0.9734 0.9725 0.9214 0.9264

1-4 years ................................... 0.9617 0.9621 0.9613 0.9664 0.9674 0.9654 0.9139 0.9119 0.9159

5-14 years .................................... 0.9761 0.9753 0.9740 9750 0.9410 0.9402

5-9 years ................................... 0.9649 0.9655 0.9642 0.9657 0.9665 0.9649 0.9241 0.9230 0.9252

10-14 years ............................... 0.9882 0.9891 0.9873 0.9830 0.9841 0.9818 0.9591 0.9586 0.9595

15-24 years .................................. 1.0081 1.0088 1.0032 1.0053 1.0010 0.9723 0.9855

15-19 years ............................... 1.0166 1.0133 1.0094 0128 0.9988 1.0016

20-24 years ............................... 1.0002 1.0017 0.9975 9985 0.9593 0.9432

25-34 years .................................. 0.9639 0.9821 0.9614 9480 0.9126 0.8666

25-29 years ............................... 0.9591 0.9748 0.9558 9441 0.9123 0.8732

30-34 years ...............................

0.9687 0.9487 0.9892 0.9669 0.9518 0.9828 0.9129 0.8599 0.9651

35-44 years .................................. 0.9842 0.9996 0.9816 9700 0.9350 0.8867

35-39 years ...............................

0.9790 0.9628 0.9954 0.9764 0.9643 0.9888 0.9303 0.8808 0.9778

40-44 years ...............................

0.9901 0.9758 1.0044 0.9875 0.9764 0.9988 0.9410 0.8943 0.9850

45-54 years .................................. 0.9780 0.9929 0.9772 9649 0.9322 0.8805

45-49 years ...............................

0.9775 0.9633 0.9916 0.9762 0.9648 0.9877 0.9302 0.8807 0.9762

50-54 years ...............................

0.9785 0.9623 0.9944 0.9784 0.9651 0.9914 0.9346 0.8802 0.9844

0.9629 0.9160

0.9689 0.9239

0.9768 0. 0.9730 0.9418

1.0073 0.9789

1.0198 1. 1.0059 0.9959

0.9987 0. 0.9966 0.9753

0.9463 0. 0.9755 0.9580

0.9439 0. 0.9681 0.9510

0.9689 0. 0.9935 0.9810

0.9628 0. 0.9894 0.9799

55-64 years .................................. 0.9824 0.9640 0.9995 0.9828 0.9684 0.9962 0.9545 0.8875 1.0138

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table Q. Ratio of census-level resident population to resident population adjusted for estimated net

census undercount by age, sex, and race: April 1, 1990

All races White Black

Age

Both

sexes Male Female

Both

sexes Male Female

Both

sexes Male Female

55-59 years ............................... 0.9794 0.9609 0.9968 0.9801 0.9656 0.9941 0.9426 0.8790 0.9999

60-64 years ............................... 0.9854 0.9671 0.1002 0.9853 0.9712 0.9982 0.9675 0.8969 1.0287

65-74 years .................................. 0.9960 0.9784 1.0101 0.9935 0.9781 1.0060 1.0211 0.9704 1.0596

65-69 years ............................... 0.9980 0.9776 1.0152 0.9943 0.9762 1.0096 1.0336 0.9786 1.0773

70-74 years ............................... 0.9934 0.9795 1.0040 0.9926 0.9807 1.0017 1.0049 0.9589 1.0376

75-84 years .................................. 1.0021 1.0046 1.0006 1.0038 1.0066 1.0021 0.9971 0.9913 1.0004

75-79 years ............................... 1.0082 1.0064 1.0094 1.0077 1.0065 1.0085 1.0258 1.0126 1.0337

80-84 years ............................... 0.9927 1.0015 0.9881 0.9978 1.0068 0.9931 0.9524 0.9547 0.9512

85 years and over ......................... 0.9411 0.9592 0.9342 0.9512 0.9696 0.9444 0.8503 0.8827 0.8373

SOURCE: Unpublished data from the U.S. Bureau of the Census.

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VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table R. Age-adjusted death rates for selected causes by race and sex, unadjusted and adjusted for estimated net census

undercount: United States, 1990

[Based on age-specific death rates per 100,000 population in specified group. Age-adjusted death rates per 100,000 U.S. standard

population. Numbers after causes of deaths are numbers of the Ninth Revision, International Classification of Diseases, 1975.

Beginning 1987 includes category numbers *042-*044. See section "Cause of death"]

Race, sex,

Human

and adjustment

All

immunodeficiency

for net census

causes

virus infection

undercount

(*042-*044)

Malignant neoplasms,

including neoplasms

Diabetes

Diseases

Cerebrovascular

Homicide

of lymphatic and

of heart

diseases

and legal

hematopoietic

mellitus

(390-398,402,

(430-438)

intervention

tissues (140-208)

(250)

404-429)

(E960-E978)

All races

Both sexes:

Unadjusted ............ 520.2

Adjusted................ 512.7

Male:

Unadjusted ............ 680.2

Adjusted................ 664.3

Female:

Unadjusted ............ 390.6

Adjusted................ 387.9

White

Both sexes:

Unadjusted ............ 492.8

Adjusted................ 485.9

Male:

Unadjusted ............ 644.3

Adjusted................ 631.0

Female:

Unadjusted ............ 369.9

Adjusted................ 367.0

Black

Both sexes:

Unadjusted ............ 789.2

Adjusted................ 760.0

Male:

Unadjusted ............ 1,061.3

Adjusted................ 980.8

Female:

Unadjusted ............ 581.6

Adjusted................

579.4

9.8 135.0 11.7 152.0 27.7 10.2

9.6 133.3 11.5 149.9 27.3 10.1

17.7 166.3 12.3 206.7 30.2 16.3

17.0 162.4 12.1 202.1 29.6 15.9

2.1 112.7 11.1 108.9 25.7 4.2

2.1 112.6 11.0 107.9 25.4 4.2

8.0 131.5 10.4 146.9 25.5 5.9

7.8 129.9 10.2 145.0 25.2 5.7

15.0 160.3 11.3 202.0 27.7 8.9

14.4 156.9 11.1 198.2 27.3 8.7

1.1 111.2 9.5 103.1 23.8 2.8

1.0 110.8 9.5 102.2 23.5 2.7

25.7 182.0 24.8 213.5 48.4 39.5

23.9 177.0 24.1 207.2 46.9 37.4

44.2 248.1 23.6 275.9 56.1 68.7

39.0 230.9 21.9 256.7 52.3 62.9

9.9 137.2 25.4 168.1 42.7 13.0

9.7 138.4 25.7 168.2 42.7 12.7

-82-

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table S. Lower and upper 95% and 96% confidence limit factors for a death rate based on a

Poisson variable of 1 through 99 deaths, D or D

adj

D

or

D

adj

L(1- α = .95,D) U(1- α = .95,D)

L(1- α = .96,D)

or

L(1- α = .96,D

adj

)

U(1- α = .96,D)

or

U(1- α = .96,D

adj

)

0.02532 5.57164 0.02020 5.83392

0.12110 3.61234 0.10735 3.75830

0.20622 2.92242 0.18907 3.02804

0.27247 2.56040 0.25406 2.64510

0.32470 2.33367 0.30591 2.40540

0.36698 2.17658 0.34819 2.23940

0.40205 2.06038 0.38344 2.11666

0.43173 1.97040 0.41339 2.02164

0.45726 1.89831 0.43923 1.94553

0.47954 1.83904 0.46183 1.88297

0.49920 1.78928 0.48182 1.83047

0.51671 1.74680 0.49966 1.78566

0.53246 1.71003 0.51571 1.74688

0.54671 1.67783 0.53027 1.71292

0.55969 1.64935 0.54354 1.68289

0.57159 1.62394 0.55571 1.65610

0.58254 1.60110 0.56692 1.63203

0.59266 1.58043 0.57730 1.61024

0.60207 1.56162 0.58695 1.59042

0.61083 1.54442 0.59594 1.57230

0.61902 1.52861 0.60435 1.55563

0.62669 1.51401 0.61224 1.54026

0.63391 1.50049 0.61966 1.52602

0.64072 1.48792 0.62666 1.51278

0.64715 1.47620 0.63328 1.50043

0.65323 1.46523 0.63954 1.48888

-83-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table S. Lower and upper 95% and 96% confidence limit factors for a death rate based on a

Poisson variable of 1 through 99 deaths, D or D

adj

D

or

D

adj

L(1- α = .95,D) U(1- α = .95,D)

L(1- α = .96,D)

or

L(1- α = .96,D

adj

)

U(1- α = .96,D)

or

U(1- α = .96,D

adj

)

27 0.65901 1.47805

28 0.66449 1.44528 0.65114 1.46787

29 0.66972 1.43617 0.65652 1.45827

30 0.67470 1.42756 0.66166 1.44922

31 0.67945 1.41942 0.66656 1.44064

32 0.68400 1.41170 0.67125 1.43252

33 0.68835 1.40437 0.67575 1.42480

34 0.69253 1.39740 0.68005 1.41746

35 0.69654 1.39076 0.68419 1.41047

36 0.70039 1.38442 0.68817 1.40380

37 0.70409 1.37837 0.69199 1.39743

38 0.70766 1.37258 0.69568 1.39134

39 0.71110 1.36703 0.69923 1.38550

40 0.71441 1.36172 0.70266 1.37991

41 0.71762 1.35661 0.70597 1.37454

42 0.72071 1.35171 0.70917 1.36938

43 0.72370 1.34699 0.71227 1.36442

44 0.72660 1.34245 0.71526 1.35964

45 0.72941 1.33808 0.71816 1.35504

46 0.73213 1.33386 0.72098 1.35060

47 0.73476 1.32979 0.72370 1.34632

48 0.73732 1.32585 0.72635 1.34218

49 0.73981 1.32205 0.72892 1.33818

50 0.74222 1.31838 0.73142 1.33431

51 0.74457 1.31482 0.73385 1.33057

52 0.74685 1.31137 0.73621 1.32694

0.64549 1.45495

-84-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table S. Lower and upper 95% and 96% confidence limit factors for a death rate based on a

Poisson variable of 1 through 99 deaths, D or D

adj

D

or

D

adj

L(1- α = .95,D) U(1- α = .95,D)

L(1- α = .96,D)

or

L(1- α = .96,D

adj

)

U(1- α = .96,D)

or

U(1- α = .96,D

adj

)

53 0.74907 1.32342

54 0.75123 1.30478 0.74075 1.32002

55 0.75334 1.30164 0.74293 1.31671

56 0.75539 1.29858 0.74506 1.31349

57 0.75739 1.29562 0.74713 1.31037

58 0.75934 1.29273 0.74916 1.30734

59 0.76125 1.28993 0.75113 1.30439

60 0.76311 1.28720 0.75306 1.30152

61 0.76492 1.28454 0.75494 1.29873

62 0.76669 1.28195 0.75678 1.29601

63 0.76843 1.27943 0.75857 1.29336

64 0.77012 1.27698 0.76033 1.29077

65 0.77178 1.27458 0.76205 1.28826

66 0.77340 1.27225 0.76373 1.28580

67 0.77499 1.26996 0.76537 1.28340

68 0.77654 1.26774 0.76698 1.28106

69 0.77806 1.26556 0.76856 1.27877

70 0.77955 1.26344 0.77011 1.27654

71 0.78101 1.26136 0.77162 1.27436

72 0.78244 1.25933 0.77310 1.27223

73 0.78384 1.25735 0.77456 1.27014

74 0.78522 1.25541 0.77598 1.26810

75 0.78656 1.25351 0.77738 1.26610

76 0.78789 1.25165 0.77876 1.26415

77 0.78918 1.24983 0.78010 1.26223

78 0.79046 1.24805 0.78143 1.26036

0.73851 1.30802

-85-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

Table S. Lower and upper 95% and 96% confidence limit factors for a death rate based on a

Poisson variable of 1 through 99 deaths, D or D

adj

D

or

D

adj

L(1- α = .95,D) U(1- α = .95,D)

L(1- α = .96,D)

or

L(1- α = .96,D

adj

)

U(1- α = .96,D)

or

U(1- α = .96,D

adj

)

79 0.79171 1.25852

80 0.79294 1.24459 0.78400 1.25672

81 0.79414 1.24291 0.78525 1.25496

82 0.79533 1.24126 0.78648 1.25323

83 0.79649 1.23965 0.78769 1.25153

84 0.79764 1.23807 0.78888 1.24987

85 0.79876 1.23652 0.79005 1.24824

86 0.79987 1.23499 0.79120 1.24664

87 0.80096 1.23350 0.79233 1.24507

88 0.80203 1.23203 0.79344 1.24352

89 0.80308 1.23059 0.79453 1.24201

90 0.80412 1.22917 0.79561 1.24052

91 0.80514 1.22778 0.79667 1.23906

92 0.80614 1.22641 0.79771 1.23762

93 0.80713 1.22507 0.79874 1.23621

94 0.80810 1.22375 0.79975 1.23482

95 0.80906 1.22245 0.80074 1.23345

96 0.81000 1.22117 0.80172 1.23211

97 0.81093 1.21992 0.80269 1.23079

98 0.81185 1.21868 0.80364 1.22949

99 0.81275 1.21746 0.80458 1.22822

0.78272 1.24630

NOTE: Table S was generated using the SAS

©

code below. Users can compute other level Confidence Intervals by changing the alpha-value. Table

S is a modified version of Table 40 (80).

-86-

VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1999

TECHNICAL APPENDIX

* Program to compute confidence intervals for expectations of Poisson variables ;

* Specify alpha for alpha*100% Confidence Interval ;

%let alpha = .95;

data CI ;

alo = (1-&alpha)/2 ;

ahi = (&alpha+1)/2 ;

do n = 1 to 99;

L = Gaminv ( alo,n )/n ;

U = Gaminv (ahi,n+1)/n ;

output;

end;

proc print data= CI;

var n L U ;

run;

-87-