DOCUMENTATION OF THE MORTALITY TAPE FILE FOR 1998 DATA SPECIAL NOTICE EFFECTIVE WITH 1998 DATA, COMMONWEALTH OF THE NORTHERN MARIANAS RECORDS ARE INCLUDED IN THE TERRITORIES' PUBLIC USE FILE EFFECTIVE WITH 1997 DATA, AMERICAN SAMOA RECORDS ARE INCLUDED IN THE TERRITORIES' PUBLIC-USE FILE 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 file should be directed to the Systems Programming and Statistical Resources Branch, Division of Vital Statistics, NCHS, 6525 Belcrest Road, Room 888, Hyattsville, MD 20782 (301-458-4420). Questions concerning the Technical Appendix or substantive questions concerning the mortality data should be directed to the Mortality Statistics Branch, Division of Vital Statistics, NCHS, 6525 Belcrest Road, Room 840, Hyattsville, MD 20782 (301-458-4666). Table of Contents I. Introduction II. Data file characteristics III. Tape format and variable definition IV. Multiple Cause Data A. Entity Axis Codes B. Record Axis Codes V. Additional information VI. List of data elements and tape locations VII. Multiple Cause-of-Death record layout VIII. Geographic code outline IX. Primary Metropolitan Statistical Areas and Metropolitan Statistical Areas as adapted for use by NCHS/DVS X. Control total tables 1-10 XI. Titles and recodes for the 282, 72, 61, 52, and 34 cause-of-death lists XII. Technical Appendix for 1995 along with the 1998 addendum 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 (1) Documentation of the Multiple Cause-of-Death Public-Use File for 1998 Data I. Introduction Data on causes of death are released by NCHS in a variety of ways including published reports, special tabulations to answer data requests, and public-use data tapes. Since the inception of the multiple cause-of-death program in 1968, a public-use tape file has been released for each data year. Each file contains a data record for all deaths processed by NCHS. Each data record contains underlying cause, multiple cause, and demographic data for a death. With the exception of calendar years 1972, 1981 and 1982, all deaths occurring annually in the United States are processed. In 1972, underlying and multiple cause data were coded and processed for only 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. The registration areas are the 50 States, New York City and the District of Columbia. The 50 percent sample States are identified in the documentation of the 1981 and 1982 files. 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-of-death public-use tape contains only those records where the multiple cause field is also coded. A public-use tape containing underlying cause, demographic, and geographic data for every death in the United States is available but contains no multiple cause data. This document is intended to provide guidance to the consumer in accessing and utilizing the multiple cause-of-death public-use tape file for 1998. It provides the technical data processing information necessary to access the tapes and the classification structure and coding rules applied to create each variable on the file such that the user can readily assess relevance at varying levels of detail to his/her own particular research. Additionally, it conveys the characteristics of the multiple cause files sufficient to guide the user in analyzing and interpreting multiple cause data. The user is alerted to certain pitfalls of interpretation; and the appropriateness of each type of multiple cause data to given applications is discussed. Control totals are also provided for comparison with user generated counts for 1998 data. (2) A revised U.S. Standard Certificate of Death was recommended for State use beginning on January 1, 1989. Among the changes were the addition of a new item on educational attainment and changes to improve the medical certification of cause of death. In addition, for the first time, the U.S. Standard Certificate of Death includes a question on the Hispanic origin of the decedent. Previously a number of States had included an Hispanic-origin identifier on their certificates. A change was also made in the format of the item to obtain information on type of place of death from an open-ended question to a checkbox. The Office of Management and Budget revised its designation of metropolitan statistical areas based on figures from the 1990 Census. For the 1990 through 1993 data files, NCHS has been using these new 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) included in the 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 the 1994 data file, the metropolitan statistical area designations were updated as well. Effective with the 1994 data file, there are 311 MSA's, PMSA's, and NECMA's; and 18 CMSA's as indicated in the listing included with this documentation. NCHS has adopted a new policy on release of vital statistics unit record data files. This new policy was implemented for the 1989 vital event files to prevent the inadvertent disclosure of individuals and institutions. As a result, the files for 1989 and later years do not contain the actual day of the death or the date of birth of the decedent. The geographic detail is also restricted; only counties and cities of 100,000 or more population based on the 1990 census, as well as metropolitan areas of 100,000 or more population based on the 1990 Census are identified. (3) II. Data File Characteristics Each record on the annual tape files contains two multiple cause-of-death fields which have been coded using ICD-9. In addition, underlying cause, demographic, and geographic detail data accompany the multiple cause-of-death data. The tape files contain the complete level of detail coded by NCHS except where precluded by confidentiality restrictions or lack of data reliability. Specifications for the 1998 tape files are as follows: File Organization: Multiple files, multiple reels Record Type: Blocked, fixed format Record Length: 440 Blocksize: 26400 U.S. DATA SET: 1. Record count: 2,340,708 2. Data counts: a. By occurrence: 2,340,708 b. By residence: 2,337,256 c. To foreign residents: 3,452 PUERTO RICO, VIRGIN ISLANDS, GUAM, AMERICAN SAMOA AND NORTHERN MARIANAS DATA SET: 1. Record count: 31,655 PUERTO RICO: 2. Data counts: a. By occurrence: 29,986 b. By residence 29,861 VIRGIN ISLANDS: 2. Data counts: a. By occurrence: 613 b. By residence: 615 GUAM:2. Data Counts: a. By occurrence: 651 b. By residence: 632 AMERICAN SAMOA: 2. Data Counts: a. By occurrence: 243 b. By residence: 243 NORTHERN MARIANAS: 2. Data Counts: a. By occurence: 162 b. By residence: 162 1. The data were processed using the PL/1 language on an IBM 9672. 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). III. Tape Format and Variable Definition The attached record layout provides documentation of variables, variable categories, and variable location on the multiple cause-of-death public-use tapes. It is noted that the following material, while used in the processing of mortality data, is not included in this package: A. Manual of the International Statistical Classification of Diseases, Injuries, and the Cause-of-Death, Ninth Revision (ICD-9) Volumes 1 and 2. B. NCHS Instruction Manual Data Preparation Part 2a, Vital Statistics Instructions for Classifying the Underlying Cause-of-Death, 1995. C. NCHS Instruction Manual Data Preparation, Part 2b, Vital Statistics Instructions for Classifying Multiple Cause-of-Death, 1995. D. NCHS Instruction Manual Data Preparation, Part 2c, Vital Statistics ICD-9 ACME Decision Tables for Classifying Underlying Causes-of-Death, 1995. E. NCHS Instruction Manual Data Preparation, Part 2d, Vital Statistics NCHS Procedures for Mortality Medical Data System file Preparation and Maintenance, Effective 1979. F. NCHS Instruction Manual Data Tabulation, Part 2f, Vital Statistics ICD-9 TRANSAX Disease Reference Tables for Classifying Multiple Causes-of- Death, 1982-95. G. NCHS Instruction Manual Data Preparation, Part 4, Vital Statistics Demographic Classification and Coding Instructions for Death Records, 1998. H. NCHS Instruction Manual Tabulation, Part 11, Vital Statistics Computer Edits for Mortality Data, Effective 1990. These documents describe in detail the rules employed for demographic and medical classification on death records. Volumes 1 and 2 of the ICD-9 may be purchased from WHO Publication Center USA, 49 Sheridan Avenue, Albany, New York, 12210. The remaining documents (Items B-H), 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, Data Preparation Branch, Division of Data Processing, 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. IV. Multiple Cause Data The original scheme for coding conditions contained on the death certificate was designed with two objectives in mind. First, to facilitate etiological studies of the relationships among conditions, it was necessary to reflect accurately in coded form each condition and its location on the certification in the exact manner given by the certifier. Secondly, the codification needed to be carried out in a manner by which the underlying cause-of-death could be assigned through computer applications. The approach was to suspend the linkage provisions of the ICD for the purpose of condition coding and code each entity with minimum regard to other conditions present on the certification. This general approach is hereafter called entity coding. Unfortunately, the set of multiple cause codes produced by entity coding is not conducive to a third objective -- 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 certificate and modified or linked to such conditions as provided by ICD-9. By definition, the entity data cannot meet this requirement since the linkage provisions distort the character and placement of the information originally recorded by the certifying physician. Since the two objectives are incompatible, DVS has chosen to create from the original set of entity codes a new code set called record axis multiple cause data. Essentially, the axis of classification has been converted from a 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 translation is accomplished by a computer system called TRANSAX (TRANSLATION OF AXIS) through selective use of 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 which are free of contradictions and are the most precise within the constraints of ICD-9 and medical information on the record. Repetitive codes are deleted. The process may (1) combine two entity axis categories together to 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-9 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 5715 (cirrhosis of liver without mention of alcohol) and 303 (alcohol dependence syndrome). Tabulation of records with 5715 would on the surface falsely imply that such records had no mention of alcohol. A preferable codification would be 5712 (alcoholic cirrhosis of liver) in lieu of both 5715 and 303. Case 2: If "gastric ulcer" and "bleeding gastric ulcer" are reported on a record they are coded to 5319 (gastric ulcer, unspecified as acute or chronic, without mention of hemorrhage or perforation) and 5314 (gastric ulcer, chronic or unspecified, with hemorrhage). A more concise codification would be to code 5314 only since the 5314 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 tape. The following paragraphs describe the format and application of entity axis data. 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 certificate on which the code appears. Six lines (1-6) are allowable with the fourth and fifth denoting one or two written in "due to"s beyond the three lines provided in Part I of the U.S. standard death certificate. Line "6" represents Part II of the 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-9 cause code. 4. Nature of injury flag: ICD-9 uses the same series of numbers (800-999) to indicate nature of injury (N codes) and external cause codes (E codes). This flag distinguishes between the two with a one (1) representing nature of injury codes and a zero (0) representing all other cause codes. A maximum of 20 of these seven byte codes are captured on a record for multiple cause purposes. This may consist of a maximum of 8 codes on any given line with up to 20 codes distributed across three or more lines depending on where the subject conditions are located on the certificate. 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. EDIT: The original conditions are edited to remove invalid codes, reverify the coding of certain rare causes of death, and assure age/cause and sex/cause compatibility. Detailed information relating to the edit criteria and the sets of cause codes which are valid to underlying cause coding and multiple cause coding are provided in part II of the NCHS Vital Statistics Instruction Manual Series. Table 2, Number of Resident Deaths Tabulated by Mention of an Underlying Cause, Record Axis Multiple Cause, or Entity Axis Multiple Cause-of-Death by ICD-9 Category, provides a summary list of valid underlying cause and multiple cause codes. ENTITY AXIS APPLICATIONS: The entity axis multiple cause data set is appropriate to analyses which require that each condition be coded as a stand alone entity without linkage to other conditions and/or require information on the placement of such conditions in the certificate. Within this framework, the entity data are appropriate to the examination of etiological relationships among conditions, accuracy of certification reporting, and the validity of traditional assumptions in underlying cause selection. Additionally, the entity data provide in certain categories a more detailed code assignment which is linked out in the creation of record axis data. Where such detail is needed for a study, the user should selectively employ entity data. Finally, the researcher may not wish to be bound by the assumptions used in the axis translation process preferring rather to investigate hypotheses of his own predilection. By definition, the main limitation of entity axis data is that an entity code does not necessarily 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 5750 is titled "Acute cholecystitis without mention of calculus". Within the framework of entity codes this is interpreted to mean that the codable entity itself contained no mention of calculus rather than that calculus was not mentioned anywhere on the record. Tabulation of records with a "5750" as a count of persons having acute cholecystitis without mention of calculus would therefore be erroneous. This illustrates the fact that under entity coding the ICD-9 titles cannot be taken literally. The user must study the rules for entity coding as they relate to his/her research prior to utilization of entity data. The user is further cautioned that the inclusion notes in ICD-9 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). In tabulating the entity axis data, one may count codes with the resultant tabulation of an individual code representing the number of times the disease(s) represented by the code appears in the file. In this kind of tabulation of morbid condition prevalence, the counts among categories may be added together to produce counts for groups of codes. Alternatively, subject to the limitations given above, one may count persons having mention of the disease represented by a code or codes. In this instance it is not correct to add counts for individual codes to create person counts for groups of codes. Since more than one code in the researcher's interest may appear together on the certificate, totaling 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 totaling must be based on mention of one or more of the categories under investigation. 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 describes the TRANSAX process for creating record axis data from entity axis data. 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-9 cause code. 2. Nature of injury flag: The last byte contains a 0 or 1 with the 1 indicating that the cause is a nature of injury category. 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 code number (5 bytes) order with any unused bytes left blank. EDIT: The record axis codes are edited for rare causes and age/cause and sex/cause compatibility. Likewise, individual code validity is checked. The valid code set for record axis coding is the same as that for entity coding. RECORD AXIS APPLICATIONS: The record axis multiple cause data set is the basis for NCHS core multiple cause tabulations. Location of codes is not relevant to this data set and conditions have been linked into the most meaningful categories for the certification. The most immediate consequence for the user is that the codes on the record already represent mention of a disease assignable to that particular ICD-9 category. This is in contrast to the entity code which is assigned each time such a disease is reported on two different lines of the certification. Secondly, the linkage implies that within the constraints of ICD-9 the most meaningful code has been assigned. The translation process creates for the user a data set which is 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. Likewise, they are comparable to general morbidity coding where the linkage provisions of ICD-9 are usually utilized. A potential disadvantage of record axis data is that some detail is sacrificed in a number of the linkages. The user can take the record axis codes as literally representing the information conveyed in ICD-9 category titles. While knowledge of the rules for combining and 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. The user is cautioned, however, that due to special rules in mortality coding, not all linkage notes in ICD-9 are utilized. (See Part 2f of the Vital Statistics Instruction Manual Series.) The user 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 which combine individual cause categories must take into account the possible interaction of up to 20 codes on a single certificate. V. Additional Information In using the NCHS multiple cause data tapes, the user is urged to review the information in this document and its references. The instructional material does change from year to year and revision to revision. The user is cautioned that coding of specific ICD-9 categories should be checked in the appropriate instruction manual. What may appear on the surface to be the correct code by ICD-9 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. It allows 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. Several basic tabulations of data from selected variables contained on this tape have been produced and are included with this document as an aid to the user in determining if his own tabulations are correct. For verification of multiple cause-of- death data at the "each cause" level of detail, Table 1 provides counts of the number of deaths on which a given ICD-9 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. Tables 2-7 provide additional control totals for the three cause-of-death fields by age, race, and sex. Tables 8-10 ignore cause-of- death and provide control totals based on age, race, sex, State of residence, State of occurrence, and month. Tables 1-9 are based on resident deaths in the United States (excludes deaths to non-residents). Table 10 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 the following publications: 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. 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. 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. Manton, K.G. and Stallard, E. Recent trends in mortality analysis. Orlando, Florida; Academic Press, inc., 1984. When further analytical assistance is needed, contact the Mortality Statistics Branch, Division of Vital Statistics, NCHS, 6525 Belcrest Road, Room 840, Hyattsville, Maryland 20782, Telephone (301) 458-4666. For technical assistance pertaining to the creation of the multiple cause-of-death file, contact Donna Glenn, Statistician, Technical Services Branch, Division of Vital Statistics, NCHS, Room 148, P.O. Box 12214, Research Triangle Park, North Carolina 27709. Telephone (919) 541-0999. VI. List of Data Elements and Tape Locations Tape Data Items Locations 1. General a. Data year 115-118 b. Record Type 19 c. Resident status 20 d. Month of death 55-56 e. Day of week of death 83 f. Place of death and decedent's status 75 2. Occurrence a. State 21-22,28 b. Expanded State 29-30 c. County 23-25 d. County Population size 49 e. Region 26 f. Division 27 g. FIPS State 119-120 h. 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 1. The Decedent a. Sex 59 b. Race 60-63 c. Age 64-74 d. Marital status 77 e. State of birth 78-79 f. Hispanic origin 80-81,82 g. Kind of Business or Industry 85-87 h. Usual Occupation 88-90 i. Education 52-53, 54 VI. List of Data elements and Tape Locations - Con. Data Items Tape Locations 2. Underlying Cause a. ICD-9 code 142-145 b. 282 cause recode 146-150 c. 72 cause recode 151-153 d. 61 cause recode 154-156 e. 52 cause recode 91-93 f. 34 cause recode 157-159 g. Place of accident 141 h. Injury at work 136 3. Multiple Conditions a. Entity-Axis conditions 1. Number of 160-161 2. The conditions 162-301 b. Record-Axis conditions 1. Number of 338-339 2. The conditions 341-440 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 1-3 3 Reserved Positions 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. 20 1 Resident Status - Con. Virgin Islands Occurrence 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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. 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 21-22 2 State of Occurrence -Con. 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 Puerto Rico 52 ...Puerto Rico Virgin Islands 53 ...Virgin Islands Guam 54 ...Guam American Samoa 61 ...American Samoa Northern Marianas 62 ...Northern Marianas 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 23-25 3 County of Occurrence 001-nnn ... 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. 999 ... County of less than 100,000 population 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, American Samoa or Northern Marianas 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 26-28 3 Region Division and State Subcode of Occurrence- Con. 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 29-30 2 Expanded State of Occurrence Code-Con. 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 31-32 2 State of Residence - Con. U.S. Occurrence 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 40 ... Rhode Island 41 ... South Carolina 42 ... South Dakota 43 ... Tennessee 44 ... Texas 45 ... Utah 46 ... Vermont 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 31-32 2 State of Residence - Con. U.S. Occurrence 47 ... Virginia 48 ... Washington 49 ... West Virginia 50 ... Wisconsin 51 ... Wyoming 52-57,59,61,62 ... 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- 57,59,61,62 ... Foreign residents: refer to U.S. for specific code structure. Virgin Islands Occurrence 53 ... Virgin Islands 01-52,54- 57,59,61,62 ... Foreign residents: refer to U.S. for specific code structure. Guam Occurrence 54 ... Guam 01-51 ... U.S. resident. Also considered a resident of Guam. 52-53,55-57, 59,61,62 ... Foreign residents: refer to U.S. for specific code structure. American Samoa Occurrence 61 ... American Samoa 01-57, 59,62 ... Foreign residents: refer to U.S. for specific code structure. 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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 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. zzz ...Foreign residents 999 ...County of less than 100,000 population 36-38 3 City of Residence 001-nnn ...Cities are numbered alphabetically within each State and identify each city with a population of 100,000 or more in 1990. (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; or city of less than 100,000 population ZZZ ... Foreign residents 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 40 1 Metropolitan - Nonmetropolitan County of Residence NOTE: American Samoa, Guam, Northern Marianas 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 4 ... West North Central 1 ... Minnesota 2 ... Iowa 3 ... Missouri 4 ... North Dakota 5 ... South Dakota 6 ... Nebraska 7 ... Kansas 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 42-43 1 Division and State Subcode of Residence -Con - 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 44-45 2 Expanded State of Residence - Con 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 53-58, 60, 62,63... Foreign Residents 53 ... Puerto Rico 54 ... Virgin Island 55 ... Guam 56 ... Canada 57 ... Cuba 58 ... Mexico 60 ... Remainder of the world 62 ... American Samoa 63 ... Northern Marianas Puerto Rico Occurrence 53 ... Puerto Rico 01-52, 54- 58,60,62,63 ... Foreign residents: refer to U.S. for specific code structure. Virgin Islands Occurrence 54 ... Virgin Islands 01-53,55- 58,60,62,63 ... 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, 60,62,63 ... Foreign residents: refer to U.S. for specific code structure.. 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 44-45 2 Expanded State of Residence - Con. American Samoa Occurrence 62 ... American Samoa 01-58, 60,63 ... Foreign residents: refer to U.S. for specific code structure. 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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 ... County of less than 100,000 Z ... Foreign residents 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 60-61 2 Detail Race -Con. United States Occurrence 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 60-61 2 Detail Race - Con. 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 64-66 3 Detail Age - Con. 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 67-68 2 Age Recode 52 - Con. 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 18 ... 60 - 64 years 19 ... 65 - 69 years 20 ... 70 - 74 years 21 ... 75 - 79 years 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 69-70 2 Age Recode 27 - Con. 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 18 ... 7 months 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 73-74 2 Infant Age Recode 22 - Con. 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 78-79 2 State of Birth -Con. 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 78-79 2 State of Birth - Con. 53 ... Virgin Island 54 ... Guam 55 ... Canada 56 ... Cuba 57 ... Mexico 59 ... Remainder of the world 61 ... American Samoa 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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) 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 91-93 3 52 Cause Recode A recode of the cause code into 52 groups designed for use in producing tabulations. Further back in this document is a complete list of recodes and categories. 010-560 ... Code range (not inclusive) 94-96 3 Reserved Positions 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 1998 ...1998 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 119-120 2 State of Occurrence (FIPS) - Con. United States 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 119-120 2 State of Occurrence (FIPS) - Con. United States 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 124-125 2 State of Residence (FIPS) - Con. 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 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 124-125 2 State of Residence (FIPS) - Con. 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. 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. 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 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. 0000 ... Nonmetropolitan counties or foreign residents 0040-9360 ... Code range 9999 ... Area of less than 100,000 population 133 1 Reserved Position 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 134-135 2 CMSA OF Residence (FIPS) - Con. United States Occurrence 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 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 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 139-140 2 Reserved Positions 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 141 1 Place of Accident for Causes E850-E869 and E880-E928 Blank ... Causes other than E850-E869 and E880-E928 0 ... Home 1 ... Farm 2 ... Mine and Quarry 3 ... Industrial Place and Premises 4 ... Place for Recreation and Sport 5 ... Street and Highway 6 ... Public Building 7 ... Resident Institution 8 ... Other Specified Places 9 ... Place of Accident not specified 142-159 18 UNDERLYING CAUSE OF DEATH 142-145 4 ICD Code (9th Revision) See the International Classification of Diseases, 1975 Revision, Volume 1. For injuries and poisoning, the external cause is coded (E800-E999) rather than the Nature of Injury (800-999). These positions do not include the letter E for the external cause of injury. For those causes that do not have a 4th digit, location 145 is blank. 146-150 5 282 Cause Recode A recode of the ICD cause code into 282 groups for NCHS publications. Further back in this document is a complete list of recodes and the causes included. 00300-35800 ... Code range (not inclusive) 151-153 3 72 Cause Recode A recode of the ICD cause code into 72 groups for NCHS publications. Further back in this document is a complete list of recodes and the causes included. 010-840 ... Code range (not inclusive) 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 154-156 3 61 Infant Cause Recode A recode of the ICD cause code into 61 groups for NCHS publications. Further back in this document is a complete list of recodes and the causes included. 010-680 ... Code range (not inclusive) 157-159 3 34 Cause Recode A recode of the ICD cause code into 34 groups for NCHS publications. Further back in this document is a complete list of records and the causes included. 010-370 ... Code range (not inclusive) 160-440 281 MULTIPLE CONDITIONS 160-161 2 Number of Entity-Axis Conditions 00-20 ... Code range 162-301 140 ENTITY - AXIS CONDITIONS Space has been provided for maximum of 20 conditions. Each condition takes 7 positions in the record. 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 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 162-301 140 ENTITY - AXIS CONDITIONS - Con. See Table 1 for a complete list of codes Position 7: Nature of Injury Flag 1 ... Indicates that the code in positions 3-6 is a Nature of Injury code 0 ... All other codes 162-168 7 1st Condition 169-175 7 2nd Condition 176-182 7 3rd Condition 183-189 7 4th Condition 190-196 7 5th Condition 197-203 7 6th Condition 204-210 7 7th Condition 211-217 7 8th Condition 218-224 7 9th Condition 225-231 7 10th Condition 232-238 7 11th Condition 239-245 7 12th Condition 246-252 7 13th Condition 253-259 7 14th Condition 260-266 7 15th Condition 267-273 7 16th Condition 274-280 7 17th Condition 281-287 7 18th Condition 288-294 7 19th Condition 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 162-301 140 ENTITY - AXIS CONDITIONS - Con. 295-301 7 20th Condition 302-337 36 Reserved Positions 338-339 2 Number of Record-Axis Conditions 00-20 ... Code range 340 1 Reserved Position 341-440 100 RECORD - AXIS CONDITIONS Space has been provided for a maximum of 20 conditions. Each condition takes 5 positions in the record. 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 Position 5: Nature of Injury Flag 1 ... Indicates that the code in positions 1-4 is a Nature of Injury code 0 ... All other codes 341-345 5 1st Condition 346-350 5 2nd Condition 351-355 5 3rd Condition 356-360 5 4th Condition 361-365 5 5th Condition 366-370 5 6th Condition 371-375 5 7th Condition 376-380 5 8th Condition 1998 Mortality Multiple Cause-of-Death Record Tape Field Location Size Item and Code Outline 341-440 100 RECORD - AXIS CONDITIONS - Con. 381-385 5 9th Condition 386-390 5 10th Condition 391-395 5 11th Condition 396-400 5 12th Condition 401-405 5 13th Condition 406-410 5 14th Condition 411-415 5 15th Condition 416-420 5 16th Condition 421-425 5 17th Condition 426-430 5 18th Condition 431-435 5 19th Condition 436-440 5 20th 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. The Metropolitan Statistical Area codes are effective with the 1996 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 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 & Technology (NITS) 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. 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 Page 1 Effective With 1998 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 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 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 Page 2 Effective With 1998 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 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 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 Page 3 Effective With 1998 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 Page 4 Effective With 1998 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 026 000 2 999 9 Yukon-Koyukuk 290 6 0000 Vital Statistics Geographic Code Outline For The United States Page 5 Effective With 1998 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 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 Page 6 Effective With 1998 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 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 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 Page 7 Effective With 1998 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 0000 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 Page 8 Effective With 1998 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 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 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 Page 9 Effective With 1998 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 068 4 Diamond Bar 19192 071 4 Downey 19766 072 6 Duarte 19990 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 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 Page 10 Effective With 1998 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 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 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 Page 11 Effective With 1998 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 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 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 Page 12 Effective With 1998 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 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 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 Page 13 Effective With 1998 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 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 Page 14 Effective With 1998 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 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 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 Page 15 Effective With 1998 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 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 Page 16 Effective With 1998 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 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 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 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 Page 17 Effective With 1998 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 Page 18 Effective With 1998 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 Page 19 Effective With 1998 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 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 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 Page 20 Effective With 1998 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 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 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 Page 21 Effective With 1998 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 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 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 Page 22 Effective With 1998 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 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 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 Page 23 Effective With 1998 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 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 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 Page 24 Effective With 1998 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 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 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 Page 25 Effective With 1998 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 Page 26 Effective With 1998 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 Page 27 Effective With 1998 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 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 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 Page 28 Effective With 1998 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 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 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 Page 29 Effective With 1998 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 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 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 Page 30 Effective With 1998 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 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 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 Page 31 Effective With 1998 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 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 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 Page 32 Effective With 1998 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 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 Page 33 Effective With 1998 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 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 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 Page 34 Effective With 1998 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 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 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 Page 35 Effective With 1998 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 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 Page 36 Effective With 1998 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 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 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 Page 37 Effective With 1998 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 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 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 Page 38 Effective With 1998 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 Page 39 Effective With 1998 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 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 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 Page 40 Effective With 1998 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 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 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 Page 41 Effective With 1998 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 Page 42 Effective With 1998 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 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 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 Page 43 Effective With 1998 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 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 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 Page 44 Effective With 1998 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 Page 45 Effective With 1998 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 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 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 Page 46 Effective With 1998 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 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 Page 47 Effective With 1998 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 004 6 Biddeford 04860 008 6 Saco 64675 999 9 Balance of county 99999 Vital Statistics Geographic Code Outline For The United States Page 48 Effective With 1998 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 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 Page 49 Effective With 1998 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 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 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 Page 50 Effective With 1998 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 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 Page 51 Effective With 1998 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 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 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 Page 52 Effective With 1998 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 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 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 Page 53 Effective With 1998 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 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 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 Page 54 Effective With 1998 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 Page 55 Effective With 1998 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 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 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 Page 56 Effective With 1998 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 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 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 Page 57 Effective With 1998 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 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 Page 58 Effective With 1998 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 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 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 Page 59 Effective With 1998 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 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 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 Page 60 Effective With 1998 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 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 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 Page 61 Effective With 1998 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 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 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 Page 62 Effective With 1998 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 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 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 Page 63 Effective With 1998 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 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 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 Page 64 Effective With 1998 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 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 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 Page 65 Effective With 1998 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 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 Page 66 Effective With 1998 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 Page 67 Effective With 1998 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 002 6 Claremont 12900 999 9 Balance of county 99999 Vital Statistics Geographic Code Outline For The United States Page 68 Effective With 1998 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 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 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 Page 69 Effective With 1998 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 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 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 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 Page 70 Effective With 1998 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 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 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 Page 71 Effective With 1998 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 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 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 Page 72 Effective With 1998 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 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 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 Page 73 Effective With 1998 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 0 030 043 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 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 Page 74 Effective With 1998 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 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 Page 75 Effective With 1998 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 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 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 Kernersville, 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 Page 76 Effective With 1998 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 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 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 Page 77 Effective With 1998 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 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 Page 78 Effective With 1998 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 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 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 Page 79 Effective With 1998 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 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 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 Page 80 Effective With 1998 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 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 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 Page 81 Effective With 1998 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 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 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 Page 82 Effective With 1998 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 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 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 Page 83 Effective With 1998 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 Page 84 Effective With 1998 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 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 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 Page 85 Effective With 1998 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 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 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 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 Page 86 Effective With 1998 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 Page 87 Effective With 1998 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 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 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 Page 88 Effective With 1998 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 Page 89 Effective With 1998 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 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 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 Page 90 Effective With 1998 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 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 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 Page 91 Effective With 1998 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 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 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 Page 92 Effective With 1998 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 Page 93 Effective With 1998 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 Page 94 Effective With 1998 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 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 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 Page 95 Effective With 1998 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 Page 96 Effective With 1998 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 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 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 Page 97 Effective With 1998 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 Page 98 Effective With 1998 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 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 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 Page 99 Effective With 1998 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 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 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 Page 100 Effective With 1998 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 Page 101 Effective With 1998 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 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 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 Page 102 Effective With 1998 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 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 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 Page 103 Effective With 1998 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 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 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 Page 104 Effective With 1998 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 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 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 Page 105 Effective With 1998 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 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 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 Page 106 Effective With 1998 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 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 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 Page 107 Effective With 1998 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 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 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 Page 108 Effective With 1998 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 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 Page 109 Effective With 1998 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 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 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 Page 110 Effective With 1998 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 Page 111 Effective With 1998 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 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 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 Page 112 Effective With 1998 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 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 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 Page 113 Effective With 1998 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 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 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 Page 114 Effective With 1998 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 Page 115 Effective With 1998 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 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 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 Page 116 Effective With 1998 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 Page 117 Effective With 1998 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 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 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 Page 118 Effective With 1998 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 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 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 Page 119 Effective With 1998 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 Page 120 Effective With 1998 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 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 Page 121 Effective With 1998 Data. 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, the Virgin Islands, or Guam. 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 1994 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 municipo 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 Virgin Islands. 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 within each State 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 Virgin Islands are also listed along with their codes. 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. Vital Statistics Geographic Code Outline For Puerto Rico, Page 1 Virgin Islands, Guam, American Samoa and Northern Marianas Effective with 1998 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 1998 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 1998 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 1998 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 1994 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 1994 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 1994 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 1994 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 Effective with 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 1994 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 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 1994 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 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 1994 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 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 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 Effective with 1994 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 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 1994 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 1994 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 1994 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 1994 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 1994 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 1994 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 1994 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 1994 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 153 006 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 B 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 001.0 - - - - 008.3 - - - - 017.1 - 2 2 2 001.1 - - - - 008.4 600 1247 647 1247 017.2 1 5 4 5 001.9 1 1 - 1 008.5 13 17 4 17 017.3 - - - - 002.0 - 2 2 2 008.6 6 8 2 8 017.4 - - - - 002.1 - - - - 008.8 89 119 31 120 017.5 - - - - 002.2 - - - - 009.0 342 456 114 459 017.6 - 1 1 - 002.3 - - - - 009.2 3 9 6 9 017.7 - - - - 002.9 - - - - 010.0 3 4 1 4 017.8 15 18 4 5 003.0 10 22 12 22 010.1 - - - - 018.0 - - - - 003.1 26 41 15 41 010.8 - - - - 018.8 1 1 - 1 003.2 - - - 1 010.9 - - - - 018.9 86 128 44 134 003.8 - 1 1 1 011.0 - - - - 020.0 - - - - 003.9 1 4 3 4 011.1 - - - - 020.1 - - - - 004.0 3 7 4 7 011.2 27 42 15 39 020.2 - - - - 004.1 - - - - 011.3 13 11 2 - 020.3 - - - - 004.2 - - - - 011.4 41 33 - 2 020.4 - - - - 004.3 - - - - 011.5 17 17 - 1 020.5 - - - - 004.8 - - - - 011.6 111 123 16 23 020.8 - - - - 004.9 2 5 3 5 011.7 5 4 - - 020.9 - - - - 005.0 - - - - 011.8 - 1 1 1 021 1 1 - 1 005.1 - - - - 011.9 583 1457 880 1744 022.0 - - - - 005.2 - - - - 012.0 13 25 13 11 022.1 - - - - 005.3 - - - - 012.1 - - - - 022.2 - - - - 005.4 1 1 - 1 012.2 - - - - 022.3 - - - - 005.8 1 1 - 1 012.3 - - - - 022.8 - - - - 005.9 2 3 1 3 012.8 2 2 - 1 022.9 - - - - 006.0 - - - - 013.0 26 43 17 47 023.0 - - - - 006.1 - - - - 013.1 - - - - 023.1 - - - - 006.2 - - - - 013.8 3 4 1 4 023.2 - - - - 006.3 1 1 - - 013.9 1 4 3 4 023.3 - - - - 006.4 - - - - 014 7 16 9 17 023.8 - - - - 006.5 - - - - 015.0 74 144 70 143 023.9 1 1 - 1 006.6 - - - - 015.1 - - - - 024 - - - - 006.8 1 1 - 1 015.2 - 1 1 1 025 - 1 1 1 006.9 1 4 3 5 015.7 - - - - 026.0 - - - - 007.0 - - - - 015.8 - - - - 026.1 - - - - 007.1 - 3 3 3 015.9 2 7 5 7 026.9 - - - - 007.2 3 5 2 56 016.0 3 9 6 9 027.0 47 68 21 68 007.3 - - - - 016.1 - - - - 027.1 - - - - 007.8 - - - - 016.2 - - - - 027.2 2 4 2 4 007.9 - - - - 016.3 - - - - 027.8 - - - - 008.0 3 5 2 5 016.4 1 1 - - 027.9 1 2 1 2 008.1 - - - - 016.9 - 1 1 1 030.0 - - - - 008.2 - - - - 017.0 77 510 434 510 030.1 - 1 1 1 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 030.2 - - - - 040.1 1 1 - 1 050.0 - - - - 030.3 - - - - 040.2 4 15 11 15 050.1 - - - - 030.8 - - - - 040.3 - - - - 050.2 - - - - 030.9 - 10 10 10 040.8 64 75 11 75 050.9 - - - - 031.0 235 999 764 995 041.0 87 227 140 227 051.0 - - - - 031.1 - 1 1 1 041.1 235 727 492 727 051.1 - - - - 031.8 1 2 1 2 041.2 39 61 22 61 051.2 - - - - 031.9 42 135 94 170 041.3 11 43 32 43 051.9 - - - - 032.0 - - - - 041.4 28 107 79 107 052 81 124 43 124 032.1 - - - - 041.5 11 24 13 24 053.0 - 1 1 1 032.2 - - - - 041.6 8 25 17 25 053.1 20 93 74 77 032.3 - - - - 041.7 49 168 119 168 053.2 1 8 7 8 032.8 - - - - 041.8 52 132 80 132 053.7 1 5 4 5 032.9 1 1 - 1 041.9 57 108 51 150 053.8 1 1 - 1 033.0 1 2 1 2 042.0 1910 2042 205 1 053.9 85 420 339 443 033.1 - - - - 042.1 2779 2623 194 3 054.0 - - - - 033.8 - - - - 042.2 809 1054 259 1 054.1 - 4 4 4 033.9 4 6 2 7 042.9 6961 9459 2529 13964 054.2 2 7 5 7 034.0 5 10 5 10 043.0 1 1 - - 054.3 91 125 35 127 034.1 1 1 - 1 043.1 43 48 9 27 054.4 - 1 1 1 035 2 5 3 5 043.2 7 12 5 - 054.5 5 6 1 2 036.0 73 80 8 78 043.3 56 61 14 - 054.6 - - - - 036.1 - - - - 043.9 8 12 4 16 054.7 27 81 54 83 036.2 125 156 31 151 044.0 1 1 - - 054.8 - - - - 036.3 30 43 13 43 044.9 851 2009 1162 4298 054.9 60 149 90 169 036.4 - - - - 045.0 - - - - 055.0 - - - - 036.8 2 2 - 2 045.1 - - - - 055.1 1 1 - - 036.9 4 9 5 18 045.2 - - - - 055.2 - - - - 037 7 11 4 11 045.9 - - - - 055.7 - - - - 038.0 406 1404 999 1422 046.0 - - - - 055.8 - - - - 038.1 1269 4610 3341 4650 046.1 240 259 19 280 055.9 - - - 1 038.2 197 390 193 720 046.2 7 12 5 12 056.0 - - - - 038.3 60 196 136 196 046.3 57 71 16 268 056.7 - - - - 038.4 857 4186 3329 4228 046.8 - - - - 056.8 - - - - 038.8 166 704 538 707 046.9 - - - - 056.9 - - - - 038.9 20776 103987 83220 105167 047.0 - - - - 057.0 1 1 - 1 039.0 - - - - 047.1 - - - - 057.8 1 24 23 24 039.1 40 61 23 59 047.8 - - - - 057.9 - - - - 039.2 - - - - 047.9 30 45 15 45 060.0 - - - - 039.3 - - - - 048 18 19 1 19 060.1 - - - - 039.4 - - - - 049.0 15 20 5 20 060.9 - - - - 039.8 5 9 4 10 049.1 - - - - 061 - - - - 039.9 16 33 17 45 049.8 1 5 4 5 062.0 - - - - 040.0 53 135 82 135 049.9 88 120 32 121 062.1 1 1 - 1 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 062.2 1 2 1 2 074.2 3 3 - 3 083.9 2 2 - 2 062.3 - 1 1 1 074.3 - - - - 084.0 1 1 - 1 062.4 - - - - 074.8 - - - - 084.1 - - - - 062.5 - 1 1 1 075 21 30 9 30 084.2 - - - - 062.8 - - - - 076.0 - - - - 084.3 - - - - 062.9 1 1 - 1 076.1 - - - - 084.4 - 1 1 1 063.0 - - - - 076.9 - - - - 084.5 - - - - 063.1 - - - - 077.0 - - - - 084.6 4 6 2 6 063.2 - - - - 077.1 - - - - 084.7 - - - - 063.8 - - - - 077.2 - - - - 084.8 - - - - 063.9 - - - - 077.3 - - - - 084.9 1 1 - 1 064 2 2 - 2 077.4 - - - - 085.0 - - - - 065.0 - - - - 077.8 - - - - 085.1 - - - - 065.1 - - - - 077.9 - 1 1 1 085.2 - - - - 065.2 - - - - 078.0 - 3 3 3 085.3 - - - - 065.3 - - - - 078.1 - 2 2 2 085.4 - - - - 065.4 - - - - 078.2 - - - - 085.5 - - - - 065.8 - - - - 078.3 - - - - 085.9 - - - - 065.9 - - - - 078.4 - - - - 086.0 5 5 - - 066.0 - - - - 078.5 147 633 491 812 086.1 - - - - 066.1 - - - - 078.6 4 4 - 4 086.2 - - - 5 066.2 - - - - 078.7 - - - - 086.3 - - - - 066.3 - - - - 078.8 100 146 46 146 086.4 - - - - 066.8 - - - - 079.0 16 20 4 20 086.5 - - - - 066.9 - - - - 079.1 - - - - 086.9 - - - - 070.0 9 11 2 - 079.2 2 3 1 3 087.0 - - - - 070.1 105 214 109 225 079.3 - 2 2 2 087.1 - - - - 070.2 64 79 15 2 079.8 23 43 20 43 087.9 - - - - 070.3 988 2015 1029 2092 079.9 263 413 150 458 088.0 - - - - 070.4 236 298 62 - 080 - - - - 088.8 5 18 13 18 070.5 3218 6567 3350 6864 081.0 - - - - 088.9 - - - - 070.6 13 14 1 - 081.1 - - - - 090.0 - - - - 070.9 163 240 77 254 081.2 - - - - 090.1 ... - - - 071 1 1 - 1 081.9 - - - - 090.2 - - - - 072.0 - - - - 082.0 3 5 2 5 090.3 - - - - 072.1 - - - - 082.1 - - - - 090.4 6 10 4 10 072.2 - - - - 082.2 - - - - 090.5 - 1 1 1 072.3 - - - - 082.3 - - - - 090.6 ... - - - 072.7 - - - - 082.8 1 1 - 1 090.7 - - - - 072.8 - - - - 082.9 - - - - 090.9 2 10 8 10 072.9 2 3 1 3 083.0 - - - - 091.0 - - - - 073 - - - - 083.1 - - - - 091.1 - - - - 074.0 - - - - 083.2 - - - - 091.2 - - - - 074.1 - - - - 083.8 - - - - 091.3 - 3 3 3 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 091.4 - - - - 102.0 - - - - 115.9 48 114 66 144 091.5 - - - - 102.1 - - - - 116.0 38 61 23 61 091.6 - - - - 102.2 - - - - 116.1 - - - - 091.7 - - - - 102.3 - - - - 116.2 - - - - 091.8 - - - - 102.4 - - - - 117.0 - - - - 091.9 - 1 1 1 102.5 - - - - 117.1 3 4 1 4 092.0 ... 1 1 1 102.6 - - - - 117.2 - - - - 092.9 ... - - - 102.7 - - - - 117.3 543 1071 528 1071 093.0 - - - - 102.8 ... - - - 117.4 - 1 1 1 093.1 - 1 1 1 102.9 - - - - 117.5 167 306 139 818 093.2 3 3 - - 103.0 - - - - 117.6 1 1 - 1 093.8 1 2 1 1 103.1 - - - - 117.7 60 95 35 95 093.9 - - - - 103.2 - - - - 117.8 - 2 2 2 094.0 1 17 16 17 103.3 - - - - 117.9 827 1478 651 1540 094.1 2 8 6 8 103.9 - - - - 118 - 1 1 1 094.2 - - - - 104.0 - - - - 120.0 - - - - 094.3 ... - - - 104.8 - - - - 120.1 - - - - 094.8 - 1 1 - 104.9 - - - - 120.2 1 1 - 1 094.9 15 59 44 59 110.0 - - - - 120.3 - - - - 095 - 1 1 - 110.1 - 6 6 6 120.8 - 1 1 1 096 ... 2 2 2 110.2 - - - - 120.9 1 3 2 3 097.0 9 29 20 29 110.3 - 1 1 1 121.0 - - - - 097.1 ... 16 16 16 110.4 - 1 1 1 121.1 - - - - 097.9 6 35 30 42 110.5 - - - - 121.2 - - - - 098.0 1 3 2 3 110.6 - 1 1 1 121.3 - - - - 098.1 1 1 - 1 110.8 - 1 1 1 121.4 - - - - 098.2 - - - - 110.9 1 3 2 3 121.5 - - - - 098.3 - - - - 111.0 - - - - 121.6 - - - - 098.4 - - - - 111.1 - 1 1 1 121.8 - - - - 098.5 1 1 - 1 111.2 1 1 - 1 121.9 - - - - 098.6 - - - - 111.3 - - - - 122.0 - - - - 098.7 - - - - 111.8 - 2 2 2 122.1 - - - - 098.8 1 1 - 1 111.9 - 3 3 3 122.2 - - - - 099.0 - - - - 112.0 10 95 85 98 122.3 - - - - 099.1 - - - - 112.1 - - - - 122.4 - - - - 099.2 - - - - 112.2 9 26 17 26 122.5 - - - - 099.3 2 8 6 8 112.3 1 3 2 2 122.6 - - - - 099.4 - - - - 112.4 45 74 34 65 122.7 - - - - 099.8 - 1 1 1 112.5 350 564 216 589 122.8 - - - - 099.9 7 13 6 13 112.8 47 196 149 216 122.9 - - - - 100.0 - - - - 112.9 122 338 217 381 123.0 - - - - 100.8 - - - - 114 81 136 55 151 123.1 10 11 1 11 100.9 - 1 1 1 115.0 4 9 5 9 123.2 - - - - 101 - 1 1 1 115.1 - - - - 123.3 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 123.4 - - - - 132.9 - 1 1 1 142.0 525 631 106 631 123.5 - - - - 133.0 2 5 3 5 142.1 34 41 7 41 123.6 - - - - 133.8 - - - - 142.2 - 1 1 1 123.8 - - - - 133.9 - - - - 142.8 - - - - 123.9 - - - - 134.0 1 1 - 1 142.9 127 141 14 142 124 - - - - 134.1 - - - - 143.0 38 42 4 42 125.0 - - - - 134.2 - - - - 143.1 59 74 15 74 125.1 - - - - 134.8 - - - - 143.8 1 1 - 1 125.2 - - - - 134.9 1 1 - 1 143.9 55 76 21 76 125.3 - - - - 135 728 1215 487 1215 144.0 - 1 1 1 125.4 - - - - 136.0 - - - - 144.1 - - - - 125.5 - - - - 136.1 8 17 9 17 144.8 - - - - 125.6 - - - - 136.2 3 3 - 3 144.9 204 245 41 245 125.7 - - - - 136.3 313 398 100 1425 145.0 40 43 3 43 125.9 - - - - 136.4 - - - - 145.1 - - - - 126.0 - - - - 136.5 - - - - 145.2 37 40 3 40 126.1 - - - - 136.8 5 12 7 12 145.3 91 114 23 114 126.2 - - - - 136.9 308 1276 970 1997 145.4 7 8 1 8 126.3 - - - - 137.0 106 409 303 409 145.5 100 139 39 140 126.8 - - - - 137.1 - 1 1 1 145.6 29 33 4 33 126.9 - 1 1 1 137.2 - 2 2 2 145.8 1 2 1 2 127.0 - 2 2 2 137.3 1 2 1 2 145.9 903 1137 234 1184 127.1 - - - - 137.4 2 12 10 12 146.0 551 667 116 667 127.2 12 21 9 23 138 237 875 638 875 146.1 16 19 3 19 127.3 - - - - 139.0 6 7 1 7 146.2 3 4 1 4 127.4 - - - - 139.1 - - - - 146.3 4 6 2 6 127.5 2 3 1 3 139.8 108 299 191 299 146.4 - - - - 127.6 - - - - 140.0 4 5 1 5 146.5 - - - - 127.7 1 1 - 1 140.1 13 16 3 16 146.6 - - - - 127.8 - - - - 140.3 - - - - 146.7 - - - - 127.9 - - - - 140.4 1 1 - 1 146.8 1 2 1 2 128.0 - 1 1 1 140.5 - - - - 146.9 571 668 97 670 128.1 - - - - 140.6 - - - - 147.0 - - - - 128.8 - - - - 140.8 - - - - 147.1 13 14 1 14 128.9 - 1 1 1 140.9 71 101 30 101 147.2 - - - - 129 - - - - 141.0 142 167 25 167 147.3 - - - - 130 20 42 23 358 141.1 - - - - 147.8 - - - - 131.0 - - - - 141.2 1 1 - 1 147.9 692 777 85 777 131.8 - 1 1 1 141.3 - - - - 148.0 1 2 1 2 131.9 - 1 1 1 141.4 - - - - 148.1 154 191 37 191 132.0 - - - - 141.5 - - - - 148.2 2 3 1 3 132.1 - - - - 141.6 5 7 2 7 148.3 - 1 1 1 132.2 - - - - 141.8 - - - - 148.8 - - - - 132.3 - 1 1 1 141.9 1616 1978 362 1979 148.9 234 280 47 282 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 149.0 1619 2177 558 2200 155.2 4229 4927 698 5026 163.9 408 477 69 477 149.1 - - - - 156.0 2002 2151 149 2151 164.0 160 186 26 186 149.8 - - - - 156.1 770 866 96 866 164.1 83 111 28 111 149.9 - - - - 156.2 188 212 24 212 164.2 2 2 - 2 150.0 7 7 - 7 156.8 1 1 - 1 164.3 - - - - 150.1 4 5 1 5 156.9 544 597 53 623 164.8 - - - - 150.2 - - - - 157.0 240 260 20 260 164.9 153 197 44 197 150.3 8 8 - 8 157.1 10 11 1 11 165.0 3 3 - 3 150.4 4 4 - 4 157.2 30 32 2 32 165.8 - - - - 150.5 97 105 8 105 157.3 10 12 2 12 165.9 9 11 2 14 150.8 - - - - 157.4 151 157 6 157 170.0 57 72 15 72 150.9 11645 12906 1261 12911 157.8 1 1 - 1 170.1 76 115 39 115 151.0 686 738 52 738 157.9 27893 29072 1186 29093 170.2 115 151 36 151 151.1 5 6 1 6 158.0 279 313 34 313 170.3 15 20 5 20 151.2 5 7 2 7 158.8 53 71 18 71 170.4 23 31 8 31 151.3 2 2 - 2 158.9 472 519 48 523 170.5 1 1 - 1 151.4 - 1 1 1 159.0 616 736 121 752 170.6 57 69 12 69 151.5 1 1 - 1 159.1 17 35 18 35 170.7 60 69 9 69 151.6 - - - - 159.8 9 9 - 9 170.8 1 2 1 2 151.8 2 2 - 2 159.9 450 528 78 545 170.9 833 1039 206 1043 151.9 12258 13517 1260 13523 160.0 55 69 14 69 171.0 64 73 9 73 152.0 457 508 52 508 160.1 11 11 - 11 171.2 44 66 22 66 152.1 44 46 2 46 160.2 175 201 26 201 171.3 217 256 39 256 152.2 49 53 4 53 160.3 30 32 2 32 171.4 72 89 17 89 152.3 1 1 - 1 160.4 5 8 3 8 171.5 179 200 21 200 152.8 42 55 13 55 160.5 12 14 2 14 171.6 107 127 20 127 152.9 464 534 70 539 160.8 - - - - 171.7 13 14 1 14 153.0 14 18 4 18 160.9 200 233 33 234 171.8 3 4 1 4 153.1 118 138 20 138 161.0 67 112 45 112 171.9 3238 3530 292 3566 153.2 131 156 25 156 161.1 184 230 46 230 172.0 5 8 3 8 153.3 658 823 165 829 161.2 8 13 5 13 172.1 1 1 - 1 153.4 575 711 136 711 161.3 - 1 1 1 172.2 17 22 5 22 153.5 198 213 15 213 161.8 - - - - 172.3 82 108 26 109 153.6 475 578 103 578 161.9 3607 4995 1388 5011 172.4 112 138 26 138 153.7 13 17 4 17 162.0 87 117 30 117 172.5 251 279 28 279 153.8 1 1 - 1 162.2 81 91 10 91 172.6 125 140 15 140 153.9 46015 55203 9189 55368 162.3 967 1124 157 1124 172.7 153 183 30 183 154.0 1783 2003 220 1965 162.4 73 85 12 85 172.8 - - - - 154.1 6377 7543 1166 7581 162.5 335 418 83 418 172.9 6685 7348 664 7458 154.2 34 45 11 45 162.8 9 9 - 9 173.0 3 5 2 5 154.3 347 438 91 439 162.9 153009 165094 12088 165182 173.1 4 15 11 15 154.8 46 67 21 67 163.0 1 1 - 1 173.2 128 204 76 204 155.0 5682 6192 510 6192 163.1 1 1 - 1 173.3 248 419 172 431 155.1 2470 2613 143 2613 163.8 1 1 - 1 173.4 998 1266 268 1271 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 173.5 61 81 20 81 187.4 186 247 61 247 192.1 142 181 39 181 173.6 45 62 17 62 187.5 1 1 - 1 192.2 63 86 23 86 173.7 40 64 24 64 187.6 3 6 3 6 192.3 - 2 2 2 173.8 - - - - 187.7 15 17 2 17 192.8 1 1 - 1 173.9 532 1029 501 1473 187.8 4 4 - 4 192.9 68 82 14 85 174.0 2 13 11 13 187.9 18 22 4 24 193 1182 1453 271 1453 174.1 - - - - 188.0 1 1 - 1 194.0 563 651 88 651 174.2 - - - - 188.1 - - - - 194.1 9 17 8 17 174.3 - - - - 188.2 - - - - 194.3 32 44 12 44 174.4 - - - - 188.3 - - - - 194.4 26 29 3 29 174.5 1 1 - 1 188.4 - - - - 194.5 1 2 1 2 174.6 - - - - 188.5 - 2 2 2 194.6 17 17 - 17 174.8 - 2 2 2 188.6 1 1 - 1 194.8 - - - - 174.9 41734 51575 9841 51577 188.7 16 17 1 17 194.9 105 115 10 115 175 349 475 126 475 188.8 2 2 - 2 195.0 1942 2260 319 2667 179 3263 4019 756 4098 188.9 11737 15508 3771 15508 195.1 153 184 31 242 180.0 24 27 3 27 189.0 11319 13219 1900 13219 195.2 1080 1189 109 1515 180.1 - - - - 189.1 165 181 16 181 195.3 256 302 47 382 180.8 - 1 1 1 189.2 325 430 105 430 195.4 12 18 6 28 180.9 4316 4804 488 4804 189.3 147 185 38 185 195.5 38 51 13 68 181 16 17 1 17 189.4 - - - - 195.8 153 174 21 201 182.0 3158 3699 542 3699 189.8 3 1 - 1 196.0 ... 82 82 82 182.1 - - - - 189.9 52 62 10 73 196.1 ... 79 79 79 182.8 - - - - 190.0 7 7 - 7 196.2 ... 107 107 107 183.0 13391 14415 1024 14415 190.1 35 47 12 47 196.3 ... 21 21 21 183.2 149 164 15 164 190.2 5 6 1 6 196.5 ... 13 13 13 183.3 - - - - 190.3 1 1 - 1 196.6 ... 19 19 19 183.4 - 1 1 1 190.4 - - - - 196.8 ... 1 1 1 183.5 - - - - 190.5 17 27 10 27 196.9 ... 1106 1106 1106 183.8 3 3 - 3 190.6 19 22 3 22 197.0 ... 15833 15833 15833 183.9 1 1 - 1 190.7 3 3 - 3 197.1 ... 445 445 445 184.0 429 530 101 530 190.8 - - - - 197.2 ... 824 824 824 184.1 7 10 3 10 190.9 191 230 39 230 197.3 ... 263 263 263 184.2 - - - - 191.0 273 299 26 299 197.4 ... 140 140 140 184.3 3 4 1 4 191.1 143 155 12 155 197.5 ... 2640 2640 2640 184.4 720 889 169 890 191.2 139 144 5 144 197.6 ... 1352 1352 1352 184.8 28 30 2 30 191.3 94 109 15 109 197.7 ... 24069 24069 24069 184.9 59 69 10 70 191.4 23 26 3 26 197.8 ... 1959 1959 1959 185 32203 46415 14212 46415 191.5 14 19 5 19 198.0 ... 577 577 577 186.0 1 1 - 1 191.6 178 196 18 196 198.1 ... 746 746 746 186.9 369 461 92 461 191.7 220 238 18 238 198.2 ... 535 535 535 187.1 - - - - 191.8 45 47 2 47 198.3 ... 17638 17638 17638 187.2 - - - - 191.9 11254 11932 678 11967 198.4 ... 830 830 830 187.3 - - - - 192.0 10 16 6 16 198.5 ... 13040 13040 13041 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 198.6 ... 433 433 433 206.9 9 11 2 11 213.4 - - - - 198.7 ... 657 657 657 207.0 36 44 8 44 213.5 - - - - 198.8 ... 10341 10341 10341 207.1 2 2 - 2 213.6 1 1 - 1 199.0 894 14486 13592 14486 207.2 13 15 2 15 213.7 - - - - 199.1 31316 62781 31466 54207 207.8 53 60 8 60 213.8 - - - - 200.0 53 61 8 63 208.0 2644 2847 203 2971 213.9 3 6 3 6 200.1 373 461 88 461 208.1 170 281 111 286 214 7 21 14 21 200.2 143 153 10 188 208.2 1 1 - 1 215.0 1 1 - 1 200.8 169 187 19 200 208.8 10 15 5 16 215.2 - - - - 201.0 - - - - 208.9 2274 2945 672 3108 215.3 - - - - 201.1 - - - - 210.0 - - - - 215.4 3 3 - 3 201.2 - - - - 210.1 - - - - 215.5 - - - - 201.4 - - - - 210.2 3 7 4 7 215.6 1 3 2 3 201.5 9 11 2 11 210.3 1 1 - 1 215.7 - 2 2 2 201.6 3 3 - 3 210.4 2 2 - 2 215.8 - - - - 201.7 2 2 - 2 210.5 - - - - 215.9 27 58 31 58 201.9 1297 1801 504 1801 210.6 1 1 - 1 216.0 - - - - 202.0 142 184 42 184 210.7 - - - - 216.1 - 1 1 1 202.1 115 166 51 166 210.8 - - - - 216.2 - - - - 202.2 6 11 5 11 210.9 - - - - 216.3 - - - - 202.3 8 11 3 11 211.0 2 3 1 3 216.4 1 2 1 2 202.4 98 167 69 167 211.1 21 52 31 52 216.5 4 5 1 5 202.5 2 2 - 2 211.2 4 5 1 5 216.6 1 2 1 2 202.6 1 1 - 1 211.3 70 343 273 343 216.7 - 2 2 2 202.8 22392 26476 4136 27126 211.4 3 9 6 9 216.8 - - - - 202.9 42 59 17 62 211.5 7 13 6 13 216.9 21 30 9 30 203.0 10276 12199 1924 12199 211.6 12 21 9 21 217 - 3 3 3 203.1 48 79 31 79 211.7 14 35 21 35 218 24 64 40 64 203.8 35 60 25 60 211.8 4 4 - 4 219.0 - - - - 204.0 1436 1556 120 1578 211.9 2 5 3 5 219.1 2 3 1 3 204.1 4150 6629 2480 6629 212.0 4 5 1 5 219.8 - 2 2 2 204.2 - 1 1 1 212.1 3 7 4 7 219.9 2 7 5 7 204.8 2 2 - 2 212.2 2 3 1 3 220 23 43 20 43 204.9 294 390 96 405 212.3 9 17 8 17 221.0 - - - - 205.0 6536 6882 346 7011 212.4 - - - - 221.1 - - - - 205.1 2304 2775 471 2775 212.5 1 2 1 2 221.2 - - - - 205.2 2 2 - 2 212.6 31 62 31 62 221.8 1 1 - 1 205.3 18 24 6 24 212.7 38 86 48 86 221.9 - - - - 205.8 2 2 - 2 212.8 - - - - 222.0 1 2 1 2 205.9 212 257 45 265 212.9 2 2 - 2 222.1 - - - - 206.0 143 149 6 150 213.0 1 2 1 2 222.2 1 1 - 1 206.1 13 22 9 22 213.1 2 4 2 4 222.3 - - - - 206.2 - - - - 213.2 2 3 1 3 222.4 - - - - 206.8 - - - - 213.3 - - - - 222.8 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 222.9 - - - - 230.6 - - - - 236.3 1 1 - 1 223.0 10 20 10 20 230.7 - - - - 236.4 - 3 3 3 223.1 - - - - 230.8 - - - - 236.5 - - - - 223.2 - 1 1 1 230.9 - - - - 236.6 - 1 1 1 223.3 2 5 3 5 231.0 - - - - 236.7 1 4 3 4 223.8 - - - - 231.1 1 1 - 1 236.9 5 6 1 6 223.9 - - - - 231.2 1 2 1 2 237.0 55 73 18 73 224.0 - - - - 231.8 - - - - 237.1 4 6 2 6 224.1 2 2 - 2 231.9 - - - - 237.2 1 1 - 1 224.2 - - - - 232.0 - - - - 237.3 3 8 5 8 224.3 - - - - 232.1 - - - - 237.4 2 4 2 4 224.4 - - - - 232.2 - - - - 237.5 34 44 10 44 224.5 - - - - 232.3 - - - - 237.6 4 4 - 4 224.6 - - - - 232.4 - - - - 237.7 88 290 202 291 224.7 - - - - 232.5 - 1 1 1 237.9 2 3 1 3 224.8 - - - - 232.6 - 1 1 1 238.0 8 16 8 16 224.9 - - - - 232.7 - 1 1 1 238.1 33 50 17 50 225.0 104 156 52 156 232.8 - - - - 238.2 1 2 1 2 225.1 32 71 39 71 232.9 1 4 3 4 238.3 6 7 1 7 225.2 822 1563 742 1563 233.0 - 6 6 6 238.4 361 1229 868 1229 225.3 6 9 3 9 233.1 - 3 3 3 238.5 - - - - 225.4 10 17 7 17 233.2 1 2 1 2 238.6 50 118 68 118 225.8 1 1 - 1 233.3 1 3 2 3 238.7 847 1751 904 1751 225.9 3 4 1 4 233.4 - 1 1 1 238.8 17 33 16 33 226 2 8 6 8 233.5 - - - - 238.9 163 284 121 284 227.0 35 97 62 97 233.6 - - - - 239.0 536 826 290 866 227.1 6 25 19 25 233.7 - 1 1 1 239.1 513 837 324 858 227.3 75 203 128 203 233.9 1 1 - 1 239.2 44 104 60 104 227.4 1 3 2 3 234.0 - - - - 239.3 16 45 29 47 227.5 1 1 - 1 234.8 1 2 1 2 239.4 51 155 104 162 227.6 - - - - 234.9 1 5 4 5 239.5 130 278 148 291 227.8 - - - - 235.0 1 1 - 1 239.6 2578 3179 601 3230 227.9 - 1 1 1 235.1 - 2 2 2 239.7 163 360 197 373 228.0 51 94 43 94 235.2 64 148 84 148 239.8 268 432 165 436 228.1 43 94 51 94 235.3 23 31 8 31 239.9 156 264 109 637 229.0 - - - - 235.4 3 4 1 4 240.0 - - - - 229.8 5 12 7 12 235.5 19 28 9 29 240.9 33 241 208 256 229.9 42 76 34 79 235.6 - - - - 241.0 - 26 26 26 230.0 - - - - 235.7 35 51 16 51 241.1 9 52 43 56 230.1 2 2 - 2 235.8 6 6 - 6 241.9 1 24 23 26 230.2 - 2 2 2 235.9 2 2 - 2 242.0 40 174 134 162 230.3 1 7 6 7 236.0 2 3 1 3 242.1 - 1 1 1 230.4 - 1 1 1 236.1 1 2 1 2 242.2 1 11 10 7 230.5 - - - - 236.2 7 7 - 7 242.3 3 11 8 9 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 242.4 - - - - 253.0 11 43 32 43 259.8 4 7 3 7 242.8 - - - - 253.1 - 1 1 1 259.9 3 10 7 12 242.9 186 1056 870 1095 253.2 79 418 339 418 260 124 349 228 378 243 3 7 4 7 253.3 1 1 - 1 261 228 1570 1355 1626 244.0 ... 8 8 8 253.4 - - - - 262 12 34 26 17 244.1 1 1 - 1 253.5 32 190 158 190 263.0 1 5 4 6 244.2 1 2 1 2 253.6 69 482 413 482 263.1 - 4 4 5 244.3 - 1 1 1 253.7 1 5 4 5 263.2 41 87 50 - 244.8 1 4 3 4 253.8 9 25 16 25 263.8 1 4 4 5 244.9 1195 15639 14444 15641 253.9 6 20 14 20 263.9 3474 29189 25716 30040 245.0 - 1 1 1 254.0 1 2 1 2 264.0 - - - - 245.1 - 1 1 1 254.1 - - - - 264.1 - - - - 245.2 5 35 30 35 254.8 1 6 5 6 264.2 - - - - 245.3 - - - - 254.9 1 3 2 3 264.3 - - - - 245.4 - - - - 255.0 34 179 145 179 264.4 - - - - 245.8 2 12 10 12 255.1 9 31 22 31 264.5 - - - - 245.9 2 33 31 35 255.2 7 14 7 14 264.6 - - - - 246.0 - - - - 255.3 - 9 9 9 264.7 - - - - 246.1 - - - - 255.4 166 1026 860 1027 264.8 - - - - 246.2 - 4 4 4 255.5 - 7 7 7 264.9 - 2 2 2 246.3 - 6 6 6 255.6 - 1 1 1 265.0 - 7 7 7 246.8 - 73 73 73 255.8 4 36 32 36 265.1 11 53 43 54 246.9 29 207 178 219 255.9 8 70 62 73 265.2 1 1 - 1 250.0 47448 168239 120831 199695 256.0 - - - - 266.0 - 1 1 1 250.1 1745 2841 1098 1673 256.1 - - - - 266.1 - - - - 250.2 803 1299 496 762 256.2 - - - - 266.2 13 407 394 473 250.3 7562 15598 8052 1981 256.3 1 2 1 2 266.9 - 1 1 1 250.4 82 345 264 152 256.4 - 2 2 2 267 1 5 4 5 250.5 408 1159 751 394 256.8 - 1 1 1 268.0 1 8 7 8 250.6 5338 13186 7853 88 256.9 - - - - 268.1 - - - - 250.7 1212 2881 1671 363 257.0 - - - - 268.2 4 22 18 22 250.9 153 181 29 217 257.1 - - - - 268.9 - 1 1 1 251.0 29 63 34 95 257.2 - 15 15 15 269.0 2 5 3 5 251.1 1 4 3 4 257.8 - - - - 269.1 - - - - 251.2 170 1238 1068 1261 257.9 1 1 - 1 269.2 - 2 2 2 251.3 ... - - - 258.0 - 1 1 1 269.3 - 2 2 2 251.4 - - - - 258.1 - - - - 269.8 6 18 13 20 251.5 13 32 19 32 258.8 - 1 1 1 269.9 157 1194 1037 1241 251.8 5 52 47 52 258.9 1 9 8 9 270.0 6 16 10 16 251.9 - - - - 259.0 - 1 1 1 270.1 1 4 3 4 252.0 95 477 382 477 259.1 - - - - 270.2 4 12 8 12 252.1 10 115 105 115 259.2 49 84 35 84 270.3 2 2 - 2 252.8 - 1 1 1 259.3 - - - - 270.4 3 6 3 6 252.9 1 12 11 13 259.4 38 83 45 83 270.5 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 270.6 45 71 26 71 276.6 42 384 342 384 283.0 123 338 215 338 270.7 6 6 - 6 276.7 321 4462 4141 4462 283.1 52 230 178 230 270.8 5 10 5 10 276.8 146 937 791 937 283.2 11 16 5 16 270.9 3 4 1 4 276.9 516 3212 2696 4658 283.9 16 33 17 33 271.0 31 42 11 42 277.0 451 506 55 506 284.0 90 190 100 41 271.1 3 4 1 4 277.1 10 44 34 44 284.8 489 3276 2787 3451 271.2 - 1 1 1 277.2 6 8 2 8 284.9 758 1756 999 1865 271.3 17 232 215 232 277.3 962 1369 407 1369 285.0 91 233 142 220 271.4 2 6 4 6 277.4 1 9 8 9 285.1 33 67 35 41 271.8 4 5 1 5 277.5 56 71 15 71 285.8 89 256 167 250 271.9 1 1 - 1 277.6 169 237 68 237 285.9 1848 33592 31747 34473 272.0 1302 5238 3936 5261 277.8 61 93 32 93 286.0 68 219 151 221 272.1 40 111 71 134 277.9 314 1638 1324 1928 286.1 4 11 7 11 272.2 12 37 26 14 278.0 2274 11956 9682 12047 286.2 - 4 4 4 272.3 - 1 1 1 278.1 1 1 - 1 286.3 43 123 80 123 272.4 2034 8046 6012 8074 278.2 - - - - 286.4 17 52 35 51 272.5 83 342 259 342 278.3 - 1 1 1 286.5 21 47 26 47 272.6 2 3 1 3 278.4 - - - - 286.6 653 3918 3266 3918 272.7 49 102 53 102 278.8 153 233 80 233 286.7 3 6 3 6 272.8 16 69 53 69 279.0 47 157 110 157 286.9 538 3567 3029 3627 272.9 8 49 41 50 279.1 24 62 38 62 287.0 10 26 16 26 273.0 - 20 20 20 279.2 13 29 16 29 287.1 11 30 19 30 273.1 42 253 211 253 279.3 468 977 511 1114 287.2 6 26 20 30 273.2 48 124 76 124 279.4 138 226 88 237 287.3 378 971 593 971 273.3 333 652 319 652 279.8 6 13 7 13 287.4 7 50 43 50 273.8 116 941 825 941 279.9 3 14 11 15 287.5 519 4666 4147 4729 273.9 12 36 24 37 280 112 1439 1327 1370 287.8 1 5 4 5 274.0 22 200 178 153 281.0 100 1270 1172 1270 287.9 34 175 141 208 274.1 16 12 7 6 281.1 1 12 11 12 288.0 312 2840 2528 2842 274.8 - 4 4 - 281.2 10 86 76 86 288.1 13 26 13 26 274.9 48 1355 1312 1412 281.3 - 1 1 1 288.2 3 7 4 7 275.0 199 539 340 565 281.4 - 4 4 2 288.3 18 44 26 45 275.1 12 28 16 28 281.8 7 206 199 - 288.8 69 427 358 427 275.2 9 61 52 61 281.9 51 185 142 82 288.9 1 4 3 4 275.3 14 42 28 42 282.0 4 21 17 21 289.0 5 64 59 64 275.4 124 2503 2379 2503 282.1 1 5 4 5 289.1 - - - - 275.8 - - - - 282.2 - 2 2 2 289.2 - 1 1 1 275.9 - - - - 282.3 4 6 2 6 289.3 1 12 11 12 276.0 443 1782 1339 1782 282.4 34 111 77 111 289.4 12 128 116 128 276.1 216 1785 1569 1785 282.5 6 33 27 36 289.5 117 565 448 566 276.2 850 6770 5922 7916 282.6 475 726 251 730 289.6 - 1 1 1 276.3 2 58 56 58 282.7 3 19 16 20 289.7 2 7 5 7 276.4 1 4 3 4 282.8 2 2 - 2 289.8 3110 7067 3958 7101 276.5 4590 30644 26054 30651 282.9 134 481 347 499 289.9 117 578 461 714 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 290.0 4537 13932 9404 13823 296.8 1 9 8 9 302.5 - - - - 290.1 15672 29912 14240 27150 296.9 6 42 36 43 302.6 - - - - 290.2 232 1388 1188 33 297.0 - - - - 302.7 - 3 3 3 290.3 16 18 2 - 297.1 2 63 61 63 302.8 - 3 3 3 290.4 4019 10718 6703 9235 297.2 - - - - 302.9 - 1 1 2 290.8 1 4 3 4 297.3 - 6 6 6 303 5266 15163 9905 20893 290.9 1 8 7 7 297.8 - - - - 304.0 25 56 31 56 291.0 125 221 107 239 297.9 16 146 130 147 304.1 - 4 4 4 291.1 10 5 1 3 298.0 - - - - 304.2 18 39 21 39 291.2 119 148 90 149 298.1 - - - - 304.3 - 1 1 1 291.3 - - - - 298.2 - - - - 304.4 1 6 5 6 291.4 - - - - 298.3 - - - - 304.5 - - - - 291.5 - - - - 298.4 - - - - 304.6 8 40 32 40 291.8 140 238 106 286 298.8 2 3 1 3 304.7 1 1 - 1 291.9 11 158 150 5 298.9 14998 39053 24071 39703 304.8 1 2 1 2 292.0 7 18 11 18 299.0 3 25 22 25 304.9 210 367 157 369 292.1 - 1 1 1 299.1 1 2 1 2 305.0 904 4179 3282 7914 292.2 - - - - 299.8 - - - - 305.1 348 30153 29805 30153 292.8 1 4 3 4 299.9 - - - - 305.2 6 47 41 47 292.9 3 6 3 6 300.0 27 1061 1034 1062 305.3 - 8 8 8 293.0 - 4 4 4 300.1 3 13 10 13 305.4 4 45 41 45 293.1 - - - - 300.2 - 8 8 8 305.5 203 557 354 557 293.8 - - - - 300.3 2 32 30 32 305.6 354 1457 1103 1457 293.9 - 1 1 1 300.4 10 226 216 225 305.7 26 141 115 141 294.0 20 92 72 92 300.5 2 8 6 8 305.8 1 12 11 12 294.8 - 6 6 6 300.6 - - - - 305.9 742 4727 3985 5002 294.9 381 5583 5228 46481 300.7 - 1 1 1 306.0 - - - - 295.0 126 237 111 237 300.8 1 4 3 4 306.1 - 1 1 1 295.1 2 4 2 4 300.9 52 252 200 262 306.2 - 17 17 17 295.2 8 43 35 43 301.0 1 11 10 11 306.3 - - - - 295.3 28 336 308 336 301.1 - 1 1 1 306.4 2 11 9 11 295.4 1 1 - 1 301.2 - 6 6 6 306.5 - 3 3 3 295.5 - - - - 301.3 - 6 6 6 306.6 - - - - 295.6 55 448 393 448 301.4 1 2 1 2 306.7 - - - - 295.7 9 174 165 174 301.5 1 3 2 3 306.8 - - - - 295.8 - 2 2 2 301.6 - 1 1 1 306.9 - - - - 295.9 183 2382 2199 2397 301.7 - 1 1 1 307.0 - - - - 296.0 1 12 11 12 301.8 - 3 3 3 307.1 77 135 58 135 296.1 11 140 129 140 301.9 1 57 56 58 307.2 1 13 12 13 296.2 1 8 7 8 302.0 - 3 3 3 307.3 - - - - 296.3 1 47 46 47 302.1 - - - - 307.4 - - - - 296.4 - - - - 302.2 - - - - 307.5 209 720 511 720 296.5 68 865 797 865 302.3 - - - - 307.6 - - - - 296.6 17 234 217 234 302.4 - - - - 307.7 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 307.8 - 3 3 3 315.8 - - - - 333.5 7 43 36 43 307.9 21 149 128 184 315.9 3 17 14 17 333.6 8 19 11 19 308.0 1 1 - 1 316 - 1 1 1 333.7 - - - - 308.1 2 2 - 2 317 3 37 34 37 333.8 28 180 152 180 308.2 - - - - 318.0 1 4 3 4 333.9 35 98 63 99 308.3 - 1 1 1 318.1 69 248 179 248 334.0 62 89 27 89 308.4 - - - - 318.2 45 187 142 187 334.1 7 12 5 12 308.9 36 342 306 342 319 319 1809 1490 1809 334.2 49 55 6 56 309.0 7 36 29 36 320.0 3 7 4 7 334.3 32 101 69 101 309.1 - - - - 320.1 140 212 72 212 334.8 75 136 61 136 309.2 1 4 3 4 320.2 68 119 51 119 334.9 122 266 144 270 309.3 - 2 2 2 320.3 16 45 29 45 335.0 59 65 6 65 309.4 - - - - 320.8 19 35 16 35 335.1 113 127 14 127 309.8 - 3 3 3 320.9 176 290 114 298 335.2 4254 4734 480 4735 309.9 1 5 4 5 322.0 1 1 - 1 335.8 - - - - 310.0 2 11 9 13 322.1 1 1 - 1 335.9 4 5 1 5 310.1 - 6 6 6 322.2 8 12 4 12 336.0 37 74 37 74 310.2 1 14 13 14 322.9 336 1295 959 1324 336.1 44 158 114 158 310.8 3 4 1 4 323.5 - - - - 336.8 26 84 58 84 310.9 2311 11582 9271 11585 323.8 2 7 5 7 336.9 95 286 191 895 311 644 11442 10798 11455 323.9 241 746 507 802 337.0 4 7 3 7 312.0 - - - - 324.0 121 312 191 312 337.9 29 86 57 132 312.1 - - - - 324.1 29 49 20 49 340 2468 3924 1456 3924 312.2 - - - - 324.9 43 110 67 118 341.0 2 4 2 4 312.3 - - - - 325 24 41 17 41 341.1 2 4 2 4 312.8 1 8 7 8 326 93 152 59 152 341.8 29 40 11 40 312.9 3 19 16 19 330.0 89 102 13 102 341.9 60 96 36 103 313.0 - - - - 330.1 63 74 11 74 342.0 1 7 6 7 313.1 - - - - 330.8 31 36 5 36 342.1 2 16 14 19 313.2 - - - - 330.9 2 2 - 2 342.9 119 4919 4801 5194 313.3 - - - - 331.0 22725 42957 20235 45675 343.0 2 9 7 3 313.8 - - - - 331.1 84 118 34 144 343.1 - 3 3 3 313.9 - - - - 331.2 33 57 25 50 343.2 41 80 39 17 314.0 - 4 4 4 331.3 16 29 13 29 343.3 - 1 1 1 314.1 - - - - 331.4 636 2164 1528 2182 343.4 - - - - 314.2 - - - - 331.8 27 47 20 47 343.8 - - - - 314.8 - - - - 331.9 396 1095 699 1186 343.9 946 1774 828 1845 314.9 1 9 8 9 332.0 13120 29300 16180 29334 344.0 295 1438 1143 1501 315.0 - - - - 332.1 47 166 119 166 344.1 169 1258 1089 1264 315.1 - - - - 333.0 321 474 153 441 344.2 2 8 6 8 315.2 - 3 3 3 333.1 6 89 83 89 344.3 3 58 55 58 315.3 - - - - 333.2 12 33 21 33 344.4 - 14 14 14 315.4 1 15 14 15 333.3 - - - - 344.5 - 7 7 7 315.5 - - - - 333.4 613 820 207 820 344.6 140 692 552 692 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 344.8 100 657 557 657 352.5 - - - - 358.2 - - - - 344.9 46 567 521 599 352.6 6 12 6 11 358.8 11 17 6 17 345.0 1 14 13 14 352.9 5 15 10 15 358.9 187 267 80 271 345.1 233 445 212 445 353.0 1 10 9 10 359.0 30 39 9 39 345.2 - - - - 353.1 - 1 1 1 359.1 626 865 239 873 345.3 537 1059 523 1058 353.2 - 2 2 2 359.2 194 303 109 303 345.4 2 5 4 5 353.3 - 2 2 2 359.3 2 8 6 8 345.5 3 8 5 8 353.4 - - - - 359.4 3 72 70 72 345.6 3 6 3 6 353.5 - - - - 359.8 23 38 15 38 345.7 - 1 1 1 353.6 - 1 1 1 359.9 98 284 186 287 345.8 - - - - 353.8 - - - - 360.0 4 18 14 18 345.9 569 1091 522 1138 353.9 - 1 1 1 360.1 - - - - 346.0 - - - - 354.0 - 12 12 12 360.2 - - - - 346.1 - - - - 354.1 - - - - 360.3 - - - - 346.2 - 5 5 5 354.2 - 1 1 1 360.4 - 1 1 1 346.8 1 2 1 2 354.3 - 1 1 1 360.5 - - - - 346.9 2 93 91 93 354.4 - - - - 360.6 - - - - 347 5 63 58 63 354.5 1 8 7 8 360.8 - 1 1 1 348.0 37 62 25 62 354.8 7 19 12 19 360.9 - - - - 348.1 2594 20387 17793 20345 354.9 - 1 1 1 361.0 - - - - 348.2 37 1058 1021 1058 355.0 - 2 2 2 361.1 - - - - 348.3 715 4190 3475 4293 355.1 - - - - 361.2 - - - - 348.4 124 3813 3689 3813 355.2 - 2 2 2 361.3 - - - - 348.5 194 2928 2734 2928 355.3 - 4 4 4 361.8 - - - - 348.8 69 758 689 759 355.4 1 - - - 361.9 - 9 9 9 348.9 269 783 514 1278 355.5 - - - - 362.1 1 12 11 176 349.0 - - - - 355.6 - - - - 362.2 - 2 2 2 349.1 - - - - 355.7 1 3 2 3 362.3 - 16 16 16 349.2 1 2 1 2 355.8 1 6 5 6 362.4 - 1 1 1 349.8 277 546 269 546 355.9 88 425 343 863 362.5 4 343 339 343 349.9 80 165 85 269 356.0 - 2 2 2 362.6 - 7 7 7 350.1 5 113 108 113 356.1 30 113 83 113 362.7 1 31 30 31 350.2 - - - - 356.2 3 10 7 10 362.8 - 7 7 9 350.8 1 1 - 1 356.3 - - - - 362.9 - 3 3 3 350.9 1 3 2 3 356.4 - 2 2 2 363.0 - - - - 351.0 2 68 66 68 356.8 747 975 228 975 363.1 - - - - 351.1 - - - - 356.9 147 606 459 1039 363.2 - 26 26 28 351.8 - 5 5 5 357.0 212 443 231 443 363.3 - - - - 351.9 - 1 1 1 357.5 5 16 13 15 363.4 - - - - 352.0 - - - - 357.6 - 1 1 1 363.5 - - - - 352.1 - 2 2 2 357.7 - - - - 363.6 1 3 2 3 352.2 - - - 1 357.8 - 1 1 1 363.7 - - - - 352.3 1 3 2 4 357.9 3 40 37 55 363.8 - - - - 352.4 - - - - 358.0 404 975 571 975 363.9 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 364.0 - - - - 369.0 9 1218 1209 1218 374.2 - - - - 364.1 - - - - 369.1 - 1 1 1 374.3 - 4 4 4 364.2 1 1 - 2 369.2 - 1 1 1 374.4 - - - - 364.3 - 7 7 8 369.3 - - - - 374.5 - - - - 364.4 - - - - 369.6 - 32 32 32 374.8 - - - - 364.5 - - - - 369.7 - - - - 374.9 - 1 1 1 364.6 - - - - 369.8 - - - - 375.0 - - - - 364.7 - - - - 369.9 - 36 36 38 375.1 - - - - 364.8 - - - - 370.0 - 3 3 3 375.2 - - - - 364.9 - 1 1 1 370.2 - - - - 375.3 - - - - 365.0 - - - - 370.3 - 1 1 1 375.4 - 1 1 1 365.1 - 2 2 2 370.4 - - - - 375.5 - - - - 365.2 - 1 1 1 370.5 - 2 2 2 375.6 - - - - 365.3 - - - - 370.6 - - - - 375.8 - - - - 365.4 - - - - 370.8 - - - - 375.9 - - - - 365.5 - - - - 370.9 1 2 1 2 376.0 6 22 16 22 365.6 - - - - 371.0 - - - - 376.1 1 4 3 4 365.8 - - - - 371.1 - - - - 376.3 - 2 2 2 365.9 3 1162 1159 1166 371.2 - - - - 376.4 - - - - 366.0 - - - - 371.3 - - - - 376.5 1 1 - 1 366.1 - 1 1 1 371.4 - 2 2 2 376.6 - - - - 366.2 - - - - 371.5 - 1 1 1 376.8 1 1 - 1 366.3 - - - - 371.6 - - - - 376.9 - 1 1 1 366.4 - - - - 371.7 - - - - 377.0 - - - - 366.5 - - - - 371.8 - - - - 377.1 - 6 6 6 366.8 - 1 1 1 371.9 - 1 1 1 377.2 - - - - 366.9 - 137 137 163 372.0 1 5 4 5 377.3 - 9 9 9 367.0 - 1 1 1 372.1 - - - - 377.4 - 1 1 1 367.1 - 1 1 1 372.2 - 1 1 1 377.5 - - - - 367.2 - 1 1 1 372.3 - 8 8 8 377.6 - - - - 367.3 - - - - 372.4 - 1 1 1 377.7 - - - - 367.4 - 1 1 1 372.5 - - - - 377.9 - - - - 367.5 - - - - 372.6 - - - - 378.0 - - - - 367.8 - - - - 372.7 - 1 1 1 378.1 - 1 1 1 367.9 - - - - 372.8 - - - - 378.2 - - - - 368.0 - - - - 372.9 - - - - 378.3 - 1 1 1 368.1 - 7 7 7 373.0 - 5 5 5 378.4 1 1 - 1 368.2 - - - - 373.1 - - - - 378.5 - 1 1 1 368.3 - - - - 373.2 - - - - 378.6 - - - - 368.4 - 5 5 5 373.3 - - - - 378.7 - 2 2 2 368.5 - - - - 373.8 - - - - 378.8 - 3 3 3 368.6 - - - - 373.9 - - - - 378.9 - 5 5 5 368.8 - 1 1 1 374.0 - 1 1 1 379.0 - 3 3 3 368.9 - 2 2 2 374.1 - 2 2 2 379.1 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 379.2 - 3 3 3 385.3 - 3 3 3 394.9 1528 3336 1809 3424 379.3 - - - - 385.8 - - - - 395.0 88 96 8 240 379.4 - - - - 385.9 - - - - 395.1 13 20 7 70 379.5 - - - - 386.0 - 32 32 32 395.2 3 5 2 - 379.8 - 2 2 2 386.1 - 6 6 6 395.9 24 39 15 72 379.9 1 16 15 19 386.2 - - - - 396 893 1713 820 1519 380.0 - - - - 386.3 - 14 14 14 397.0 162 689 527 689 380.1 5 15 10 15 386.4 - - - - 397.1 - 2 2 2 380.2 - - - - 386.5 - - - - 397.9 262 346 84 476 380.3 - - - - 386.8 - - - - 398.0 - 1 1 4 380.4 - - - - 386.9 - 1 1 1 398.9 766 1206 440 1932 380.5 - - - - 387.0 - - - - 401.0 46 441 395 544 380.8 - - - - 387.1 - - - - 401.1 4 109 105 124 380.9 - 1 1 1 387.2 - - - - 401.9 8213 158851 150668 190529 381.0 - - - - 387.8 - - - - 402.0 29 32 11 9 381.1 - - - - 387.9 - 1 1 1 402.1 8 11 4 3 381.2 - - - - 388.0 - 24 24 24 402.9 27678 45883 18737 37181 381.3 - - - - 388.1 - - - - 403.0 30 68 39 1 381.4 - 1 1 1 388.2 - - - - 403.1 6 12 6 7 381.5 - - - - 388.3 - 1 1 1 403.9 6009 18557 12701 3439 381.6 - - - - 388.4 - - - - 404.0 7 6 - - 381.7 - - - - 388.5 - 2 2 2 404.1 1 1 - - 381.8 - - - - 388.6 - 1 1 1 404.9 2404 3195 1232 173 381.9 - - - - 388.7 - - - - 410 203551 241734 38184 241734 382.0 - 1 1 1 388.8 - - - - 411 2907 5847 2940 5847 382.1 - - - - 388.9 - 2 2 2 412 599 3265 2666 3265 382.2 - - - - 389.0 - - - - 413 650 3451 2801 3451 382.3 - - - - 389.1 - 26 26 26 414.0 122732 199082 76353 199082 382.4 2 4 2 4 389.2 - - - - 414.1 204 529 326 529 382.9 37 94 57 94 389.7 - 27 27 27 414.8 19922 31290 11369 31290 383.0 - - - - 389.8 1 2 1 2 414.9 109276 217332 108066 232089 383.1 - 1 1 1 389.9 7 408 401 409 415.0 6 87 81 87 383.2 - 1 1 1 390 14 77 63 102 415.1 8955 24898 15943 24898 383.3 ... - - - 391.0 15 41 26 45 416.0 2404 7139 4735 7139 383.8 - - - - 391.1 15 23 8 44 416.1 93 218 125 13 383.9 15 42 27 42 391.2 - - - - 416.8 - - - - 384.0 - - - - 391.8 24 43 19 20 416.9 1090 7334 6246 7804 384.1 - - - - 391.9 27 32 5 56 417.0 1 5 4 5 384.2 - - - - 392.0 - - - - 417.1 11 18 7 18 384.8 - - - - 392.9 - - - - 417.8 20 66 46 66 384.9 - - - - 393 - 1 1 1 417.9 42 88 46 99 385.0 - - - - 394.0 830 1380 551 1491 420.9 46 143 97 146 385.1 - - - - 394.1 87 116 29 295 421.0 1030 2212 1182 2255 385.2 - - - - 394.2 41 50 11 - 421.9 25 56 31 58 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 422.9 298 429 131 430 429.4 ... 7 7 7 442.1 37 67 30 67 423.0 32 829 797 829 429.5 18 45 27 45 442.2 179 313 134 313 423.1 6 55 49 55 429.6 5 124 119 124 442.3 47 112 65 112 423.2 73 159 86 162 429.8 345 1457 1112 1504 442.8 101 218 117 229 423.8 10 39 29 39 429.9 4017 12756 8752 23969 442.9 265 433 168 682 423.9 353 3174 2821 3471 430 6858 7873 1023 7271 443.0 11 113 102 113 424.0 2503 6145 3642 6144 431 20758 28009 7260 28535 443.1 17 41 24 41 424.1 11609 24659 13051 24661 432.0 3 10 7 10 443.8 25 55 30 55 424.2 6 72 66 72 432.1 715 1807 1092 1827 443.9 7185 24216 17814 34664 424.3 5 26 21 26 432.9 4754 6505 1759 6883 444.0 70 145 75 145 424.9 4397 8873 4477 9685 433.0 236 304 68 327 444.1 247 534 287 534 425.0 1 4 3 4 433.1 1029 2357 1328 2369 444.2 393 1516 1123 1516 425.1 286 462 176 462 433.2 22 31 9 61 444.8 64 290 226 290 425.2 - 1 1 1 433.3 54 81 27 49 444.9 395 1267 872 1636 425.3 86 108 22 108 433.8 5 21 16 22 446.0 117 185 68 185 425.4 27076 37357 10286 37370 433.9 1 6 5 7 446.1 3 3 - 3 425.5 785 574 128 567 434.0 3759 5326 1567 5326 446.2 106 200 94 200 425.9 573 15319 14753 17133 434.1 570 1892 1322 1892 446.3 1 2 1 2 426.0 335 2402 2067 2402 434.9 7199 12923 5724 13321 446.4 315 490 175 490 426.1 30 279 249 279 435 406 2659 2253 2659 446.5 128 664 536 664 426.2 1 3 2 3 436 90090 165398 75317 172224 446.6 402 498 96 498 426.3 11 258 247 258 437.0 3056 12081 9034 11788 446.7 24 37 13 37 426.4 4 125 121 125 437.1 1013 2437 1424 2486 447.0 22 103 81 103 426.5 6 75 69 75 437.2 76 131 58 107 447.1 143 379 236 379 426.6 9 67 58 67 437.3 447 760 315 2326 447.2 152 396 244 396 426.7 40 100 60 100 437.4 83 126 43 126 447.3 1 2 1 2 426.8 172 1428 1256 1428 437.5 14 19 5 19 447.4 1 2 1 2 426.9 151 1143 992 1143 437.6 - - - - 447.5 1 5 4 5 427.0 27 281 254 281 437.8 61 391 330 198 447.6 582 1369 787 1424 427.1 458 6510 6052 6510 437.9 7273 18243 10984 25629 447.8 15 42 27 42 427.2 1 23 22 23 438 9966 22602 12638 22602 447.9 336 609 273 1042 427.3 7182 62091 54909 62091 440.0 50 419 370 619 448.0 19 64 45 64 427.4 1468 18239 16771 18240 440.1 63 363 300 386 448.1 - - - - 427.5 27603 348479 320876 348479 440.2 662 3004 2343 2265 448.9 29 66 37 67 427.6 18 343 325 343 440.8 2 28 26 37 451.0 1 5 4 5 427.8 746 6730 5984 6731 440.9 14502 67525 53029 74553 451.1 609 1659 1050 1659 427.9 6733 53143 46413 68229 441.0 3356 3756 400 3756 451.2 261 612 352 612 428.0 46980 264386 217416 270978 441.1 1213 1272 59 1315 451.8 14 34 20 34 428.1 79 430 351 1079 441.2 833 1657 824 1848 451.9 201 809 608 817 428.9 3169 22440 19273 24825 441.3 6165 6612 447 6561 452 68 206 138 206 429.0 537 1367 830 1286 441.4 2210 6163 3953 6596 453.0 43 155 112 155 429.1 194 521 328 530 441.5 1740 1850 110 2096 453.1 4 68 64 68 429.2 66776 105961 39195 108295 441.6 720 1743 1024 2018 453.2 41 196 155 196 429.3 1162 7404 6242 7627 442.0 1 1 - 1 453.3 10 44 34 44 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 453.8 96 376 280 376 463 5 11 6 12 478.8 - - - - 453.9 217 2745 2530 3444 464.0 6 19 13 19 478.9 2 6 4 7 454.0 58 236 178 235 464.1 11 36 25 38 480.0 24 39 15 39 454.1 13 79 66 82 464.2 4 6 2 6 480.1 50 97 47 99 454.2 2 9 7 3 464.3 37 53 16 53 480.2 3 8 5 8 454.9 89 288 199 297 464.4 3 6 3 6 480.8 2 3 1 3 455.0 1 4 3 4 465.0 1 1 - 1 480.9 448 663 215 695 455.1 - - - - 465.8 - - - - 481 2411 4111 1700 4053 455.2 - - - - 465.9 158 614 457 676 482.0 134 365 231 369 455.3 - 1 1 1 466.0 382 1295 913 1437 482.1 388 1241 853 1248 455.4 - - - - 466.1 70 183 113 184 482.2 80 140 60 141 455.5 - - - - 470 - 1 1 1 482.3 371 639 268 648 455.6 6 43 37 47 471.0 - 1 1 1 482.4 933 2136 1203 2158 455.7 1 1 - 1 471.1 - - - - 482.8 178 350 172 352 455.8 3 12 9 8 471.8 1 2 1 2 482.9 1438 2749 1319 2695 455.9 - 1 1 1 471.9 - 11 11 12 483 108 134 27 136 456.0 168 2308 2140 916 472.0 1 13 12 13 485 3500 9071 5571 9132 456.1 37 760 724 2163 472.1 - - - - 486 80079 190454 110396 195783 456.3 - - - - 472.2 - - - - 487.0 860 990 130 142 456.4 1 1 - 1 473.0 7 20 13 21 487.1 844 1187 364 2054 456.5 1 1 - 1 473.1 6 9 3 9 487.8 20 23 6 5 456.6 - - - - 473.2 2 9 7 9 490 592 1787 1197 2864 456.8 29 318 289 318 473.3 3 7 4 7 491.0 99 19 15 31 457.0 ... 1 1 1 473.8 9 29 20 29 491.1 27 46 29 84 457.1 45 262 217 262 473.9 78 270 192 274 491.2 1660 2780 1120 309 457.2 1 24 23 24 474.0 1 4 3 4 491.8 233 398 174 427 457.8 25 74 49 74 474.1 2 3 1 3 491.9 421 1438 1018 2815 457.9 - - - - 474.2 - - - - 492 17555 33577 16027 34633 458.0 16 181 169 215 474.8 1 7 6 7 493.0 218 273 58 258 458.1 - 1 1 1 474.9 2 21 19 22 493.1 7 18 11 18 458.9 1149 10114 8966 10116 475 4 6 2 6 493.9 5213 11964 6781 12091 459.0 605 4149 3546 4542 476.0 - 1 1 1 494 1152 2136 984 2153 459.1 - 3 3 3 476.1 - - - - 495.0 9 20 11 20 459.2 36 690 654 690 477.0 - 1 1 3 495.1 - - - - 459.8 11 77 66 77 477.8 - 1 1 4 495.2 1 2 1 2 459.9 535 1141 612 6508 477.9 6 46 41 60 495.3 - - - - 460 1 7 6 10 478.0 - 1 1 1 495.4 - - - - 461.0 - - - - 478.1 2 12 10 12 495.5 - - - - 461.1 - - - - 478.2 106 262 156 264 495.6 - - - - 461.2 1 1 - 1 478.3 40 180 140 180 495.7 - - - - 461.3 - - - - 478.4 - 7 7 7 495.8 1 1 - 1 461.8 - - - - 478.5 11 16 5 16 495.9 14 16 3 16 461.9 4 15 11 15 478.6 23 59 36 59 496 85382 193471 108114 202024 462 12 35 23 35 478.7 47 185 138 186 500 421 1104 683 1104 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 501 458 1221 763 1221 519.3 57 168 111 168 524.1 - - - - 502 93 178 85 178 519.4 21 98 77 98 524.2 - 1 1 1 503 9 16 7 16 519.8 539 1763 1224 2075 524.3 - - - - 504 4 6 2 6 519.9 181 730 550 1189 524.4 - 1 1 1 505 114 289 175 313 520.0 - 3 3 3 524.5 - - - - 506.0 19 30 11 30 520.1 - - - - 524.6 1 3 2 3 506.1 - - - - 520.2 - - - - 524.8 - - - - 506.2 - - - - 520.3 - - - - 524.9 - 4 4 4 506.3 - - - - 520.4 - 1 1 1 525.0 - 1 1 1 506.4 - - - - 520.5 - - - - 525.1 - - - - 506.9 - 1 1 1 520.6 - 1 1 1 525.2 - - - - 507.0 12670 52577 39907 52607 520.7 1 3 2 3 525.3 - - - - 507.1 4 11 7 12 520.8 - - - - 525.8 3 11 8 11 507.8 - - - - 520.9 - 1 1 1 525.9 2 20 18 20 508.0 26 295 269 295 521.0 - 15 15 15 526.0 - - - - 508.1 8 84 76 84 521.1 - - - - 526.1 - - - - 508.8 - 14 14 14 521.2 - - - - 526.2 - - - - 508.9 - - - - 521.3 - - - - 526.3 - - - - 510.0 52 308 256 310 521.4 - - - - 526.4 6 10 4 10 510.9 283 1039 756 1062 521.5 - - - - 526.5 - - - - 511.0 34 242 208 280 521.6 - - - - 526.8 - 2 2 2 511.1 - 2 2 2 521.7 - - - - 526.9 - 7 7 7 511.8 76 551 475 552 521.8 - - - - 527.0 - - - - 511.9 850 9803 8953 9810 521.9 1 2 1 2 527.1 - - - - 512 382 2751 2369 2755 522.0 - - - - 527.2 46 131 85 131 513.0 331 1002 671 1007 522.1 - - - - 527.3 6 20 14 20 513.1 8 24 16 24 522.2 - - - - 527.4 - - - - 514 616 13807 13192 13813 522.3 - - - - 527.5 - 2 2 2 515 8745 14735 5990 14977 522.4 3 9 6 9 527.6 1 2 1 2 516.0 11 17 6 17 522.5 11 38 27 38 527.7 - 2 2 2 516.2 1 1 - 1 522.6 - - - - 527.8 1 2 1 2 516.3 113 148 35 148 522.7 - 1 1 1 527.9 1 4 3 4 516.8 630 795 166 804 522.8 - - - - 528.0 4 27 23 27 516.9 1 3 2 3 522.9 - - - - 528.1 - 1 1 1 518.0 178 1322 1144 1322 523.0 - - - - 528.2 - 3 3 3 518.1 30 62 32 62 523.1 1 7 6 7 528.3 13 16 3 16 518.2 1 1 - 1 523.2 - - - - 528.4 - - - - 518.3 236 500 264 500 523.3 2 4 2 4 528.5 - 4 4 4 518.4 163 2962 2799 3034 523.4 - 5 5 5 528.6 - - - - 518.5 1848 14150 12302 14140 523.5 - - - - 528.7 - - - - 518.8 3986 13183 9202 16190 523.6 - - - - 528.8 - - - - 519.0 15 19 4 19 523.8 3 4 1 4 528.9 9 44 35 44 519.1 219 1154 935 1220 523.9 6 10 4 10 529.0 3 6 3 6 519.2 62 236 174 236 524.0 - 7 7 7 529.1 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 529.2 - - - - 534.0 - - - - 551.9 34 43 10 2 529.3 - - - - 534.1 - - - - 552.0 46 63 18 59 529.4 1 1 - 1 534.2 - - - - 552.1 48 88 40 95 529.5 - - - - 534.3 - - - - 552.2 177 264 88 201 529.6 - 1 1 1 534.4 34 78 44 10 552.3 83 137 54 73 529.8 2 14 12 14 534.5 8 10 2 8 552.8 11 16 5 11 529.9 - 10 10 10 534.6 - - - - 552.9 175 285 110 303 530.0 110 237 127 237 534.7 - - - 1 553.0 5 14 9 31 530.1 944 4485 3541 4487 534.9 5 17 12 87 553.1 28 130 102 141 530.2 108 372 264 372 535.0 38 102 65 109 553.2 81 288 208 409 530.3 246 1038 792 1073 535.1 48 241 193 241 553.3 331 1435 1104 1520 530.4 224 402 178 402 535.2 - 3 3 3 553.8 8 19 11 26 530.5 320 595 275 595 535.3 47 36 19 22 553.9 83 228 146 299 530.6 68 137 69 137 535.4 105 374 271 384 555.0 10 14 4 14 530.7 60 146 86 146 535.5 226 1453 1227 1461 555.1 19 59 40 59 530.8 180 966 786 1130 535.6 10 55 45 55 555.2 - - - - 530.9 57 115 58 131 536.0 - 1 1 1 555.9 440 1256 816 1258 531.0 16 24 8 6 536.1 3 15 12 15 556 465 1232 767 1232 531.1 1 2 1 3 536.2 3 13 10 13 557.0 3608 6535 2927 7026 531.2 1 1 - - 536.8 92 372 280 437 557.1 690 1174 484 1174 531.3 2 8 6 26 536.9 41 252 211 252 557.9 4220 8284 4064 8953 531.4 673 1253 580 279 537.0 84 468 384 468 558 1242 4011 2769 4208 531.5 559 1006 447 1050 537.1 - - - - 560.0 21 27 6 27 531.6 31 53 22 - 537.2 1 1 - 1 560.1 410 1796 1387 1814 531.7 5 27 22 39 537.3 6 72 66 72 560.2 622 978 356 1027 531.9 167 917 750 1929 537.4 25 115 90 115 560.3 170 397 228 389 532.0 10 19 10 3 537.5 - 2 2 2 560.8 346 650 306 129 532.1 4 8 4 9 537.6 - 2 2 2 560.9 3677 11281 7605 12387 532.2 1 1 - - 537.8 98 362 266 510 562.0 27 42 15 42 532.3 4 10 6 25 537.9 116 405 289 470 562.1 3414 6472 3059 6472 532.4 630 1167 537 409 540.0 321 574 253 537 564.0 91 505 414 505 532.5 695 1153 458 1224 540.1 20 60 40 58 564.1 20 152 132 153 532.6 42 84 42 2 540.9 21 42 21 74 564.2 - 35 35 35 532.7 2 22 20 28 541 74 146 73 189 564.3 ... - - - 532.9 98 541 443 1356 542 1 1 - 1 564.4 1 1 - 1 533.0 4 4 - 1 543 2 2 - 2 564.5 - 1 1 1 533.1 1 2 1 2 550.0 23 26 3 2 564.6 - - - - 533.2 - - - - 550.1 141 221 80 217 564.7 91 227 136 229 533.3 1 4 3 9 550.9 32 184 152 218 564.8 37 111 74 111 533.4 1073 1865 792 299 551.0 8 10 2 1 564.9 11 30 19 30 533.5 344 623 279 666 551.1 13 17 4 - 565.0 2 5 3 5 533.6 32 53 21 2 551.2 49 53 5 2 565.1 14 50 36 50 533.7 14 59 45 73 551.3 11 15 4 - 566 95 223 128 223 533.9 285 3439 3159 5214 551.8 2 2 - - 567.1 2 4 2 4 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 567.2 510 2445 1935 2479 575.2 3 16 13 24 582.8 22 42 21 23 567.8 25 117 92 130 575.3 - 5 5 5 582.9 1261 5176 3931 6805 567.9 1005 5274 4269 5511 575.4 50 102 52 102 583.0 1 3 2 3 568.0 106 344 238 881 575.5 2 12 10 13 583.1 41 68 29 74 568.8 136 476 340 476 575.6 - 9 9 9 583.2 8 22 14 22 568.9 13 49 36 49 575.8 41 138 97 138 583.4 10 15 5 15 569.0 6 16 11 16 575.9 238 795 557 833 583.6 3 8 6 10 569.1 22 90 68 91 576.0 ... - - - 583.7 7 17 10 - 569.2 3 17 14 17 576.1 475 1191 716 1191 583.8 62 126 65 106 569.3 120 551 431 554 576.2 231 878 647 947 583.9 237 591 359 1038 569.4 93 300 207 300 576.3 2 6 4 10 584.5 239 895 665 931 569.5 24 443 419 443 576.4 6 17 11 17 584.6 - 2 2 - 569.6 ... 15 15 15 576.5 - 1 1 1 584.7 2 5 3 2 569.8 1640 5407 3767 5450 576.8 135 926 791 978 584.8 - 1 1 1 569.9 482 1444 966 2271 576.9 30 76 46 104 584.9 4036 27579 23543 27820 570 270 1354 1084 1357 577.0 2642 6199 3557 6250 585 5398 24593 19199 31631 571.0 447 766 319 14 577.1 280 1065 785 1065 586 14436 76468 62040 89349 571.1 855 807 189 990 577.2 63 191 128 191 587 60 130 70 177 571.2 8222 10655 2434 4192 577.8 46 331 285 331 588.0 7 26 19 26 571.3 2274 2523 751 2833 577.9 164 403 239 435 588.1 2 9 7 9 571.4 224 498 274 499 578.0 23 199 177 219 588.8 22 104 82 104 571.5 12023 23308 11290 29979 578.1 3 57 54 58 588.9 - 1 1 1 571.6 483 700 217 701 578.9 6764 29842 23094 34433 589.0 - - - - 571.8 398 1558 1161 2310 579.0 13 48 35 48 589.1 - - - - 571.9 266 607 342 703 579.1 13 69 56 69 589.9 - - - - 572.0 114 311 197 312 579.2 ... 433 433 433 590.0 87 243 156 255 572.1 - 3 3 3 579.3 ... 20 20 20 590.1 165 289 124 293 572.2 435 5328 4894 5715 579.4 - 1 1 1 590.2 40 122 82 128 572.3 111 1149 1038 1149 579.8 10 36 26 36 590.3 - - - - 572.4 443 4476 4033 4476 579.9 65 256 191 270 590.8 509 1067 562 1126 572.8 2819 24137 21318 24137 580.0 - - - - 590.9 27 64 37 73 573.0 15 169 154 169 580.4 - - - - 591 82 649 567 649 573.3 693 1695 1009 1808 580.8 10 15 5 12 592.0 179 597 418 597 573.4 29 78 49 78 580.9 120 669 549 672 592.1 15 34 19 33 573.8 158 1195 1037 1195 581.0 - - - - 592.9 16 74 58 77 573.9 1403 3119 1736 5590 581.1 2 7 5 1 593.0 - 1 1 1 574.0 93 144 51 4 581.2 - - - - 593.1 - 1 1 1 574.1 176 324 148 11 581.3 8 14 6 2 593.2 3 15 12 15 574.2 677 1729 1052 2178 581.8 1 5 4 - 593.3 7 34 27 34 574.3 11 16 5 2 581.9 184 525 346 701 593.4 72 474 402 475 574.4 18 40 22 1 582.0 - - - - 593.5 - 12 12 12 574.5 168 298 130 350 582.1 2 3 1 3 593.6 - - - - 575.0 689 1130 441 1284 582.2 1 1 - 1 593.7 8 15 7 15 575.1 656 1485 830 1835 582.4 - 1 1 1 593.8 202 976 774 981 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 593.9 6067 28375 22344 42527 601.8 - 1 1 1 611.9 32 267 235 294 594.0 - - - - 601.9 23 62 39 62 614.0 - - - - 594.1 10 43 33 43 602.0 - 14 14 14 614.1 - 1 1 1 594.2 1 2 1 2 602.1 - 24 24 24 614.2 11 19 8 20 594.8 - 1 1 1 602.2 - - - - 614.3 - - - - 594.9 - 2 2 2 602.8 1 7 6 7 614.4 53 153 100 153 595.0 7 34 27 34 602.9 60 204 144 221 614.5 - - - - 595.1 - 7 7 7 603.0 - - - - 614.6 - 6 6 6 595.2 25 102 77 102 603.1 - - - - 614.7 - - - - 595.3 - - - - 603.8 - 1 1 1 614.8 - - - - 595.8 10 48 38 48 603.9 - 11 11 11 614.9 12 19 7 20 595.9 104 442 338 444 604.0 - 2 2 2 615.0 - - - - 596.0 36 180 144 180 604.9 5 16 11 16 615.1 - - - - 596.1 64 284 220 284 605 - 3 3 3 615.9 16 37 21 37 596.2 8 54 46 54 606 - - - - 616.0 - 1 1 1 596.3 - 9 9 9 607.0 - - - - 616.1 6 15 9 15 596.4 9 47 38 47 607.1 1 5 4 5 616.2 - 3 3 3 596.5 5 17 12 17 607.2 9 30 21 30 616.3 - 1 1 1 596.6 6 37 31 37 607.3 - - - - 616.4 1 3 2 3 596.7 - 5 5 5 607.8 2 9 7 9 616.5 - - - - 596.8 3 116 113 116 607.9 3 7 4 8 616.8 1 1 - 1 596.9 23 67 44 75 608.0 - 1 1 1 616.9 1 2 1 2 597.0 - 3 3 3 608.1 - - - - 617.0 4 6 2 6 597.8 1 5 4 5 608.2 1 1 - 1 617.1 - - - - 598.0 - - - - 608.3 - - - - 617.2 - - - - 598.1 - - - - 608.4 36 80 44 80 617.3 - - - - 598.2 - - - - 608.8 52 102 50 102 617.4 - - - - 598.8 - - - - 608.9 2 16 14 31 617.5 - 1 1 1 598.9 19 59 40 59 610.0 - 1 1 1 617.6 - - - - 599.0 13172 33455 20283 33716 610.1 - 4 4 4 617.8 - - - - 599.1 3 17 14 17 610.2 - - - - 617.9 1 5 4 6 599.2 - 2 2 2 610.3 - 2 2 2 618.0 8 28 21 30 599.3 - 1 1 1 610.4 1 1 - 1 618.1 8 34 26 36 599.4 - - - - 610.8 - - - - 618.2 - - - - 599.5 - - - - 610.9 - - - - 618.3 - - - - 599.6 226 1219 993 1219 611.0 4 22 18 22 618.4 - 3 3 1 599.7 29 539 510 539 611.1 - 1 1 1 618.5 - - - - 599.8 5 36 31 36 611.2 - - - - 618.6 - 2 2 2 599.9 19 74 55 96 611.3 - - - - 618.7 - - - - 600 410 2573 2163 2575 611.4 - - - - 618.8 2 2 - 2 601.0 2 7 5 7 611.5 - - - - 618.9 - - - - 601.1 4 20 16 20 611.6 - - - - 619.0 7 23 16 23 601.2 2 8 6 8 611.7 2 13 11 13 619.1 54 193 139 193 601.3 1 1 - 1 611.8 - 1 1 1 619.2 - 2 2 2 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 619.8 - - - - 624.2 - - - - 631 - 1 1 1 619.9 4 19 15 19 624.3 - - - - 632 1 2 1 2 620.0 - - - - 624.4 - - - - 633.0 - - - - 620.1 2 9 7 9 624.5 - - - - 633.1 6 6 - 6 620.2 15 44 29 45 624.6 - - - - 633.2 - - - - 620.3 - - - - 624.8 - 3 3 3 633.8 1 1 - 2 620.4 - - - - 624.9 - - - - 633.9 12 15 3 15 620.5 - 2 2 2 625.0 - - - - 634.0 - - - - 620.6 - - - - 625.1 - - - - 634.1 1 1 - - 620.7 - - - - 625.2 - - - - 634.2 - - - - 620.8 5 8 3 8 625.3 - 1 1 1 634.3 - - - - 620.9 17 85 68 92 625.4 - - - - 634.4 - - - - 621.0 - 5 5 5 625.5 - 1 1 1 634.5 - 1 1 - 621.1 - - - - 625.6 - 10 10 10 634.6 1 1 - - 621.2 2 7 5 7 625.8 - - - - 634.7 - - - - 621.3 - 4 4 4 625.9 1 8 7 8 634.8 - - - - 621.4 - 1 1 1 626.0 - - - - 634.9 - 2 2 4 621.5 - 1 1 1 626.1 - - - - 635.0 - - - - 621.6 - 1 1 1 626.2 2 12 10 12 635.1 - 1 1 - 621.7 - - - - 626.3 - - - - 635.2 2 2 - 1 621.8 4 13 9 13 626.4 - - - - 635.3 1 1 - - 621.9 4 139 135 139 626.5 - - - - 635.4 - - - - 622.0 - 3 3 3 626.6 - 3 3 3 635.5 - - - - 622.1 - 3 3 3 626.7 - - - - 635.6 - - - - 622.2 - - - - 626.8 3 6 3 6 635.7 - - - - 622.3 - - - - 626.9 - 38 38 39 635.8 2 2 - 1 622.4 6 25 19 25 627.0 - 3 3 3 635.9 1 4 3 7 622.5 1 1 - 1 627.1 1 8 7 8 636.0 - - - - 622.6 - - - - 627.2 4 47 43 47 636.1 - - - - 622.7 - 1 1 1 627.3 - - - - 636.2 - - - - 622.8 1 17 16 17 627.4 - - - - 636.3 - - - - 622.9 - 2 2 2 627.8 - 3 3 3 636.4 - - - - 623.0 - - - - 627.9 - 1 1 1 636.5 - - - - 623.1 - - - - 628.0 - - - - 636.6 - - - - 623.2 - - - - 628.2 - - - - 636.7 - - - - 623.3 - - - - 628.3 - - - - 636.8 - - - - 623.4 1 1 - 1 628.4 - - - - 636.9 - - - - 623.5 - 2 2 2 628.8 - - - - 637.0 1 1 - 1 623.6 - 1 1 1 628.9 - 1 1 1 637.1 - - - - 623.7 - - - - 629.0 - - - - 637.2 - - - - 623.8 19 141 122 141 629.1 - - - - 637.3 - - - - 623.9 - 1 1 1 629.8 1 12 11 12 637.4 - - - - 624.0 - 2 2 2 629.9 - 14 14 16 637.5 - - - - 624.1 - - - - 630 - - - - 637.6 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 637.7 - - - - 646.8 - - - - 673 43 68 25 70 637.8 - - - - 646.9 3 7 4 12 674 46 67 21 70 637.9 3 2 - 2 647.0 - - - - 675 1 1 - 1 638.0 - - - - 647.1 - - - - 676 - - - - 638.1 - - - - 647.2 - - - - 680.0 - - - - 638.2 - - - - 647.3 - - - - 680.1 - - - - 638.3 - - - - 647.4 - - - - 680.2 1 1 - 1 638.4 - - - - 647.5 - - - - 680.3 - - - - 638.5 - - - - 647.6 - - - - 680.4 - - - - 638.6 - - - - 647.8 - - - - 680.5 - 1 1 1 638.7 - - - - 647.9 - - - - 680.6 1 1 - 1 638.8 - - - - 648.0 - 1 1 1 680.7 - - - - 638.9 - - - - 648.1 - - - - 680.8 - - - - 639.0 ... - - 1 648.2 - 1 1 1 680.9 - 1 1 1 639.1 ... 1 1 10 648.3 1 1 - 1 681.0 - 1 1 1 639.2 ... 1 1 2 648.4 - 1 1 1 681.1 2 11 9 11 639.3 ... - - 1 648.5 - - - - 681.9 - - - - 639.4 ... - - - 648.6 14 16 2 16 682.0 8 54 46 54 639.5 ... - - 2 648.7 - - - - 682.1 9 52 43 52 639.6 ... - - 1 648.8 - 2 2 2 682.2 76 287 211 287 639.8 ... - - 3 648.9 5 6 1 6 682.3 49 176 127 176 639.9 ... - - 1 650 - - - - 682.4 9 30 21 30 640 - - - - 651 3 5 2 5 682.5 8 62 54 62 641 12 29 20 34 652 - - - - 682.6 200 1021 821 1022 642.0 - 1 1 2 653 - - - - 682.7 41 247 206 247 642.1 - - - - 654 - - - - 682.8 60 262 202 262 642.2 2 2 - 3 655 - - - - 682.9 354 1871 1517 1898 642.3 - - - - 656 2 11 9 11 683 4 7 3 7 642.4 10 14 4 17 657 - - - - 684 4 11 7 11 642.5 12 16 4 19 658 5 5 - 5 685.0 1 1 - 1 642.6 18 23 5 24 659 - 1 1 1 685.1 2 6 4 6 642.7 2 3 1 1 660 - 1 1 1 686.0 7 42 35 42 642.9 4 10 6 13 661 3 6 3 6 686.1 7 57 50 57 643 1 2 1 2 662 - 1 1 1 686.8 - 5 5 5 644 3 5 2 5 663 - - - - 686.9 144 717 573 738 645 - - - - 664 - - - - 690 - 6 6 6 646.0 - - - - 665 9 12 3 12 691.0 - - - - 646.1 - 1 1 1 666 12 31 19 26 691.8 - 7 7 7 646.2 - - - - 667 2 2 - 7 692.0 - - - - 646.3 - - - - 668 2 3 1 3 692.1 - - - - 646.4 - - - - 669 20 82 62 82 692.2 - - - - 646.5 - - - - 670 6 11 5 11 692.3 - - - - 646.6 1 5 4 5 671 3 4 1 4 692.4 - 1 1 1 646.7 4 6 2 6 672 - - - - 692.5 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 692.6 - 1 1 1 701.1 - 11 11 11 709.8 1 12 11 12 692.7 1 4 3 4 701.2 - 1 1 1 709.9 16 73 57 73 692.8 - 5 5 5 701.3 - - - - 710.0 1402 2423 1021 2423 692.9 14 128 114 144 701.4 - 1 1 1 710.1 1229 1906 677 1906 693.0 1 4 3 4 701.5 - - - - 710.2 81 268 187 268 693.1 10 18 8 18 701.8 2 4 2 4 710.3 97 210 113 210 693.8 - - - - 701.9 - - - - 710.4 191 427 236 427 693.9 - - - - 702 - 7 7 7 710.8 2 6 4 6 694.0 1 5 5 5 703.0 - - - - 710.9 158 277 119 316 694.1 - 1 1 1 703.8 - 1 1 1 711.0 143 307 164 307 694.2 - - - - 703.9 - - - - 711.9 13 33 20 39 694.3 - - - - 704.0 - 2 2 2 712.8 - - - - 694.4 36 158 122 158 704.1 - - - - 712.9 - - - - 694.5 81 402 321 402 704.2 - - - - 714.0 1877 9386 7509 9386 694.6 1 5 4 5 704.3 - - - - 714.1 22 111 89 111 694.8 1 1 - 1 704.8 - 1 1 1 714.2 1 3 2 3 694.9 2 7 5 7 704.9 - - - - 714.3 11 26 15 26 695.0 1 2 1 2 705.0 - - - - 714.4 - - - - 695.1 116 240 124 240 705.1 - 1 1 1 714.8 96 264 168 264 695.2 - 1 1 1 705.8 1 8 7 8 714.9 8 35 27 35 695.3 - 5 5 5 705.9 - - - - 715.0 10 189 179 189 695.4 86 341 255 341 706.0 - - - - 715.1 - - - - 695.8 15 50 35 50 706.1 - - - - 715.2 - - - - 695.9 15 155 140 155 706.2 - 5 5 5 715.3 48 272 224 272 696.0 2 64 62 64 706.3 - 4 4 4 715.8 - 4 4 4 696.1 15 277 262 277 706.8 - 1 1 1 715.9 650 13674 13026 13681 696.2 - 1 1 1 706.9 - - - - 716.0 - - - - 696.3 - 1 1 1 707.0 1574 8807 7235 10604 716.1 1 3 2 3 696.4 - 3 3 3 707.1 134 825 693 1268 716.2 - - - - 696.5 - - - - 707.8 35 187 152 259 716.3 - - - - 696.8 - 1 1 1 707.9 70 495 425 688 716.4 - - - - 697.0 - 4 4 4 708.0 - - - - 716.5 6 43 37 43 697.1 - - - - 708.1 - - - - 716.6 - - - - 697.8 - - - - 708.2 - - - - 716.8 - - - - 697.9 - - - - 708.3 - - - - 716.9 217 3838 3621 4113 698.0 - - - - 708.4 - - - - 717.0 - - - - 698.1 - - - - 708.5 - - - - 717.1 - - - - 698.2 - - - - 708.8 - 1 1 1 717.2 - - - - 698.3 - 1 1 1 708.9 - 8 8 8 717.3 - - - - 698.4 - - - - 709.0 2 11 9 11 717.4 - - - - 698.8 - - - - 709.1 - - - - 717.5 - - - - 698.9 1 12 11 12 709.2 1 45 44 45 717.6 - - - - 700 - 3 3 3 709.3 - 5 5 7 717.7 - - - - 701.0 - 7 7 7 709.4 - - - - 717.8 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 717.9 - 2 2 2 722.9 22 141 119 141 728.3 14 58 44 58 718.0 - - - - 723.0 23 151 128 151 728.4 1 1 - 1 718.1 - 1 1 1 723.1 - 12 12 12 728.5 - - - - 718.2 - 3 3 3 723.2 - - - - 728.6 - 1 1 1 718.3 - 13 13 13 723.3 - - - - 728.7 - - - - 718.4 1 59 58 59 723.4 1 19 18 19 728.8 301 872 571 872 718.5 - 25 25 25 723.5 1 22 21 24 728.9 41 201 160 203 718.6 2 2 - 2 723.6 - - - - 729.0 3 41 38 41 718.8 - 6 6 6 723.7 - - - - 729.1 42 202 160 202 718.9 - 18 18 18 723.8 1 4 3 4 729.2 6 66 60 79 719.0 - 3 3 3 723.9 - 2 2 2 729.3 22 66 44 66 719.1 - 5 5 5 724.0 49 1106 1057 1106 729.4 343 808 465 808 719.2 - - - - 724.1 - - - - 729.5 5 42 37 42 719.3 - - - - 724.2 4 85 81 85 729.6 - - - - 719.4 3 35 32 35 724.3 1 27 26 27 729.8 8 35 27 35 719.5 - 3 3 3 724.4 2 26 24 26 729.9 4 6 2 6 719.6 - - - - 724.5 15 300 285 300 730.0 10 22 12 23 719.7 - 2 2 2 724.6 - 14 14 14 730.1 56 210 154 210 719.8 - 1 1 1 724.7 - - - - 730.2 861 2143 1282 2152 719.9 36 923 887 971 724.8 1 7 6 7 730.3 - 1 1 1 720.0 55 210 155 210 724.9 5 42 37 47 730.9 14 34 20 36 720.1 - - - - 725 54 1047 993 1047 731.0 59 580 521 599 720.2 - - - - 726.0 - 2 2 2 731.2 - 3 3 3 720.8 - - - - 726.1 - 1 1 1 732.0 - 1 1 1 720.9 1 12 11 12 726.2 - 1 1 1 732.1 12 32 20 32 721.0 20 110 90 115 726.3 4 14 10 14 732.2 - - - - 721.1 72 198 126 194 726.4 - - - - 732.3 - - - - 721.2 - - - 1 726.5 1 1 - 1 732.4 - 1 1 1 721.3 4 26 22 26 726.6 1 2 1 2 732.5 - - - - 721.4 3 10 7 9 726.7 - - - - 732.6 - - - - 721.5 - - - - 726.8 - - - - 732.7 - - - - 721.6 - 1 1 1 726.9 1 9 8 9 732.8 - - - - 721.7 - 1 1 1 727.0 2 7 5 7 732.9 - 1 1 1 721.8 - 4 4 4 727.1 - 6 6 6 733.0 1154 11639 10485 11639 721.9 20 273 253 278 727.2 - - - - 733.1 102 3301 3199 3301 722.0 2 5 3 6 727.3 3 10 7 10 733.2 1 7 6 7 722.1 2 13 11 14 727.4 - 6 6 6 733.3 - - - - 722.2 5 44 39 45 727.5 - 1 1 1 733.4 13 59 46 59 722.3 - - - - 727.6 - 2 2 2 733.5 - - - - 722.4 1 13 12 13 727.8 - 2 2 2 733.6 - - - - 722.5 3 51 48 52 727.9 - 5 5 5 733.7 - 1 1 1 722.6 7 139 132 140 728.0 5 10 5 10 733.8 7 36 29 36 722.7 1 5 4 1 728.1 - 3 3 3 733.9 66 350 293 434 722.8 - - - - 728.2 14 55 41 59 734 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 735.0 - - - - 740.0 301 315 14 315 746.4 69 118 49 118 735.1 - 1 1 1 740.1 - - - - 746.5 6 10 4 10 735.2 - - - - 740.2 - - - - 746.6 6 9 3 9 735.3 - - - - 741.0 69 114 45 58 746.7 454 522 68 522 735.4 - - - - 741.9 70 166 96 241 746.8 368 590 222 592 735.5 - - - - 742.0 46 75 29 76 746.9 1364 1859 496 2412 735.8 - - - - 742.1 81 164 83 164 747.0 61 255 194 255 735.9 - 1 1 1 742.2 151 227 76 227 747.1 99 198 99 198 736.0 - 4 4 4 742.3 255 416 162 478 747.2 33 62 29 70 736.1 - - - - 742.4 62 100 38 100 747.3 124 223 99 256 736.2 - - - - 742.5 1179 2369 1225 2508 747.4 70 106 36 106 736.3 - 6 6 6 742.8 23 43 20 43 747.5 1 6 5 6 736.4 - - - - 742.9 171 261 90 312 747.6 267 461 195 483 736.5 - - - - 743.0 - 3 3 3 747.8 362 424 62 431 736.6 - 1 1 1 743.1 - 14 14 14 747.9 11 19 8 21 736.7 - 15 15 15 743.2 - 2 2 2 748.0 2 6 4 6 736.8 1 137 136 137 743.3 - 2 2 2 748.1 1 6 5 6 736.9 - 7 7 7 743.4 - 2 2 2 748.2 - 1 1 1 737.0 - 1 1 1 743.5 - 2 2 2 748.3 58 93 35 93 737.1 63 432 369 432 743.6 - 1 1 1 748.4 10 13 3 13 737.2 1 7 6 7 743.8 2 2 - 2 748.5 868 1402 534 1402 737.3 230 792 562 1000 743.9 1 5 4 5 748.6 52 93 41 97 737.8 - - - - 744.0 - - - - 748.8 3 10 7 10 737.9 1 3 2 4 744.1 - - - - 748.9 5 12 7 13 738.0 - - - - 744.2 - 2 2 2 749.0 5 33 28 56 738.1 1 2 1 2 744.3 - 2 2 2 749.1 1 8 7 31 738.2 - - - - 744.4 - - - - 749.2 4 26 22 3 738.3 10 37 27 37 744.5 1 1 - 1 750.0 - - - - 738.4 - 4 4 4 744.8 - 5 5 5 750.1 1 6 5 6 738.5 1 9 8 9 744.9 2 11 9 11 750.2 1 4 3 4 738.6 - 1 1 1 745.0 68 95 27 95 750.3 19 55 36 55 738.7 - - - - 745.1 150 205 55 205 750.4 24 44 20 44 738.8 - 2 2 2 745.2 196 291 95 291 750.5 5 8 3 8 738.9 2 6 4 7 745.3 35 46 11 46 750.6 2 2 - 2 739.0 - - - - 745.4 307 660 353 669 750.7 2 4 2 4 739.1 - - - - 745.5 378 684 306 686 750.8 1 1 - 1 739.2 - - - - 745.6 59 148 89 148 750.9 10 22 12 22 739.3 - - - - 745.7 - - - - 751.0 4 7 3 7 739.4 - - - - 745.8 1 1 - 1 751.1 24 52 28 52 739.5 - - - - 745.9 16 29 13 30 751.2 6 50 44 50 739.6 - 1 1 1 746.0 16 37 21 42 751.3 22 45 23 45 739.7 - - - - 746.1 32 49 17 49 751.4 21 32 11 32 739.8 - - - - 746.2 47 64 17 65 751.5 28 58 30 65 739.9 - - - - 746.3 57 82 25 82 751.6 59 104 45 104 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 751.7 4 6 2 6 756.3 9 24 15 24 760.8 32 62 30 62 751.8 2 3 1 3 756.4 11 42 31 42 760.9 - 1 1 1 751.9 7 16 9 17 756.5 101 223 122 223 761.0 381 421 40 421 752.0 - 1 1 1 756.6 270 371 101 371 761.1 623 904 281 905 752.1 - 1 1 1 756.7 51 91 40 91 761.2 35 243 208 243 752.2 1 1 - 1 756.8 16 59 43 59 761.3 17 30 13 30 752.3 1 3 2 3 756.9 13 22 9 22 761.4 - 1 1 1 752.4 1 3 2 3 757.0 - 5 5 5 761.5 254 515 261 515 752.5 - 1 1 1 757.1 2 6 4 6 761.6 1 2 1 2 752.6 1 6 5 6 757.2 - - - - 761.7 - 3 3 3 752.7 - 10 10 11 757.3 26 75 49 76 761.8 33 54 21 54 752.8 - 10 10 10 757.4 - - - - 761.9 - - - - 752.9 - 10 10 10 757.5 1 1 - 1 762.0 17 21 5 21 753.0 296 391 95 391 757.6 - - - - 762.1 412 525 113 534 753.1 355 871 516 872 757.8 2 3 1 3 762.2 26 40 14 40 753.2 8 23 15 23 757.9 - - - - 762.3 64 117 53 117 753.3 12 47 35 47 758.0 518 1423 905 1425 762.4 31 43 12 43 753.4 - - - - 758.1 302 328 26 328 762.5 30 37 7 40 753.5 1 8 7 8 758.2 404 450 46 450 762.6 7 15 8 17 753.6 6 21 15 21 758.3 14 23 9 23 762.7 375 580 205 580 753.7 - - - - 758.4 - - - - 762.8 3 6 3 6 753.8 3 15 12 15 758.5 50 66 16 66 762.9 - - - - 753.9 30 106 76 135 758.6 13 70 57 70 763.0 14 28 14 28 754.0 - 2 2 2 758.7 2 10 8 10 763.1 4 7 3 7 754.1 - - - - 758.8 11 18 7 18 763.2 1 3 2 3 754.2 2 9 7 9 758.9 117 156 39 186 763.3 - - - - 754.3 - 4 4 4 759.0 26 79 53 79 763.4 1 9 8 9 754.4 - 1 1 1 759.1 1 5 4 5 763.5 - - - - 754.5 - 1 1 1 759.2 5 7 2 7 763.6 8 14 6 14 754.6 - - - - 759.3 11 37 26 37 763.7 8 12 4 12 754.7 - 11 11 11 759.4 22 24 2 24 763.8 28 71 43 71 754.8 - 13 13 13 759.5 24 46 22 46 763.9 28 43 15 43 755.0 1 11 10 11 759.6 23 46 23 46 764.0 4 19 15 19 755.1 - - - - 759.7 364 434 72 827 764.1 - - - - 755.2 - 5 5 5 759.8 319 547 228 549 764.2 1 2 1 2 755.3 - 4 4 4 759.9 102 204 102 323 764.9 33 137 104 140 755.4 - 3 3 3 760.0 56 79 23 79 765.0 3099 9357 6258 9423 755.5 - 10 10 10 760.1 2 4 2 4 765.1 1010 4353 3345 5886 755.6 1 13 12 13 760.2 20 31 11 31 766.0 - - - - 755.8 14 34 20 34 760.3 3 7 4 7 766.1 1 4 3 4 755.9 2 12 10 12 760.4 2 2 - 2 766.2 - 4 4 4 756.0 24 68 44 78 760.5 18 33 16 34 767.0 180 453 273 455 756.1 23 79 56 79 760.6 1 1 - 1 767.1 - 1 1 1 756.2 - - - - 760.7 33 81 49 83 767.2 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 767.3 - - - - 773.2 13 53 40 113 778.5 - 4 4 4 767.4 1 2 1 2 773.3 3 5 2 2 778.6 - - - - 767.5 1 1 - 1 773.4 - - - - 778.7 - - - - 767.6 - 1 1 1 773.5 - - - - 778.8 - - - - 767.7 - - - - 774.1 - - - - 778.9 - - - - 767.8 13 34 21 33 774.2 2 16 14 - 779.0 17 128 111 133 767.9 6 13 7 16 774.3 - - - - 779.1 - - - - 768.2 1 2 1 2 774.4 3 5 2 5 779.2 4 15 11 15 768.3 - - - - 774.5 - - - - 779.3 - - - - 768.4 137 295 158 330 774.6 2 8 6 26 779.4 - - - - 768.5 45 96 51 103 774.7 2 3 1 3 779.5 3 5 2 5 768.6 - - - - 775.0 12 39 27 40 779.6 61 73 12 73 768.9 311 783 472 896 775.1 - 3 3 3 779.8 1017 3357 2340 3357 769 1302 1727 425 1727 775.2 1 1 - 1 779.9 16 16 - 41 770.0 20 41 21 41 775.3 - 1 1 1 780.0 10 3342 3332 3859 770.1 48 124 76 124 775.4 - 8 8 8 780.1 - 26 26 26 770.2 147 641 494 641 775.5 5 18 13 17 780.2 16 1348 1332 1348 770.3 170 538 368 538 775.6 1 8 7 8 780.3 947 20090 19143 20093 770.4 206 287 81 287 775.7 - 2 2 2 780.4 - 141 141 141 770.5 7 18 11 18 775.8 - 1 1 1 780.5 1 39 38 39 770.6 - 1 1 1 775.9 - - - - 780.6 66 1478 1412 1480 770.7 336 525 189 525 776.0 4 4 - 4 780.7 4 1140 1136 1141 770.8 795 2508 1713 2508 776.1 - 2 2 2 780.8 - 2 2 2 770.9 - - - 1 776.2 61 213 152 213 780.9 4 513 509 513 771.0 4 12 8 12 776.3 1 4 3 4 781.0 - 91 91 91 771.1 26 40 14 43 776.4 - - - - 781.1 - 1 1 1 771.2 30 36 6 36 776.5 8 14 7 12 781.2 - 76 76 76 771.3 - - - - 776.6 10 73 63 - 781.3 4 238 234 238 771.4 - 7 7 7 776.7 - 2 2 2 781.4 - 3 3 3 771.5 - 4 4 4 776.8 1 2 1 2 781.5 - 1 1 1 771.6 - - - - 776.9 - - - - 781.6 - 1 1 1 771.7 31 54 23 54 777.1 3 4 1 4 781.7 - 3 3 3 771.8 737 1598 861 1598 777.2 - - - - 781.9 29 348 319 348 772.0 17 31 14 31 777.3 - - - - 782.0 - 20 20 20 772.1 276 733 458 735 777.4 - - - - 782.1 1 19 18 19 772.2 3 13 10 13 777.5 345 444 99 444 782.2 1 70 69 70 772.3 - - - - 777.6 47 131 84 131 782.3 12 1811 1799 1911 772.4 3 15 12 15 777.8 2 3 1 3 782.4 6 811 805 811 772.5 - 2 2 2 777.9 - - - - 782.5 - 35 35 35 772.6 - 1 1 1 778.0 162 308 146 311 782.6 - 1 1 1 772.8 20 43 23 43 778.1 - 1 1 1 782.7 4 25 21 25 772.9 17 60 43 74 778.2 - 1 1 1 782.8 - 2 2 2 773.0 10 12 2 12 778.3 5 15 10 15 782.9 - - - - 773.1 1 2 1 2 778.4 - - - - 783.0 30 3871 3841 3871 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 783.1 - 6 6 6 788.0 - 4 4 4 793.2 - 7 7 7 783.2 2 1057 1055 1057 788.1 - 2 2 2 793.3 - - - - 783.3 1 100 99 100 788.2 - 507 507 507 793.4 - - - - 783.4 299 6996 6697 7086 788.3 - 314 314 314 793.5 - - - - 783.5 - 18 18 18 788.4 - 9 9 9 793.6 - - - - 783.6 - 54 54 54 788.5 - 338 338 338 793.7 - - - - 783.9 1 143 142 143 788.6 - 1 1 1 793.8 - - - - 784.0 1 90 89 90 788.7 1 1 - 1 793.9 - 2 2 2 784.1 - - - - 788.8 - 1 1 1 794.0 - 1 1 1 784.2 11 121 110 121 788.9 1 1 - 1 794.1 - - - - 784.3 3 1236 1233 1236 789.0 52 1285 1233 1285 794.2 - 1 1 1 784.4 - 13 13 13 789.1 4 290 286 290 794.3 3 20 17 20 784.5 - 400 400 400 789.2 - 229 229 235 794.4 - - - - 784.6 1 21 20 21 789.3 15 492 477 492 794.5 - - - - 784.7 3 168 165 168 789.4 - 2 2 2 794.6 - - - - 784.8 - 25 25 25 789.5 17 4455 4438 4456 794.7 - - - - 784.9 - 11 11 11 789.9 5 81 76 81 794.8 - 41 41 41 785.0 9 847 838 847 790.0 - - - - 794.9 - - - - 785.1 - 19 19 19 790.1 - 3 3 3 795.0 1 3 2 3 785.2 - 66 66 66 790.2 - 15 15 15 795.1 - - - - 785.3 - 1 1 1 790.3 5 938 933 979 795.2 - 1 1 1 785.4 117 5775 5659 9492 790.4 - 3 3 3 795.3 - 2 2 2 785.5 1295 52256 50961 52266 790.5 - 6 6 6 795.4 - 1 1 1 785.6 3 192 189 193 790.6 13 724 711 906 795.5 - 1 1 1 785.9 - 11 11 11 790.7 30 1657 1627 1729 795.6 - - - - 786.0 145 10219 10074 10225 790.8 3 53 50 53 795.7 - - - - 786.1 - 18 18 18 790.9 - 5 5 5 795.8 - 317 317 539 786.2 - 57 57 57 791.0 - 37 37 37 796.0 - 1 1 1 786.3 74 3112 3038 3112 791.1 - - - - 796.1 - 3 3 3 786.4 - 1 1 1 791.2 - 2 2 2 796.2 - - - - 786.5 1 183 182 183 791.3 - 35 35 35 796.3 - - - - 786.6 4 76 72 76 791.4 - - - - 796.4 - 2 2 2 786.7 - - - - 791.5 - 1 1 1 796.9 - - - - 786.8 - 11 11 11 791.6 - 1 1 1 797 2998 17961 14963 19539 786.9 - 35 35 35 791.7 - 1 1 1 798.0 2822 2982 160 2982 787.0 - 916 916 925 791.9 11 2267 2256 2267 798.1 370 406 36 406 787.1 - 2 2 2 792.0 - - - - 798.2 - - - - 787.2 20 12817 12797 12817 792.1 - - - - 798.9 36 46 10 46 787.3 1 109 108 109 792.2 - - - - 799.0 130 16141 16013 16183 787.4 - 1 1 1 792.3 - - - - 799.1 3615 222212 218597 222212 787.5 - 1 1 1 792.4 - - - - 799.2 - 6 6 6 787.6 - 50 50 50 792.9 1 1 - 1 799.3 78 5337 5259 5487 787.7 - - - - 793.0 - - - - 799.4 65 8332 8267 8449 787.9 - 42 42 42 793.1 - 10 10 10 799.8 207 5465 5258 5465 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY 799.9 12383 27045 14677 27045 E807.1 - - - - E813.9 62 64 2 64 E800.0 1 2 1 2 E807.2 - - - - E814.0 4 4 - 4 E800.1 - - - - E807.3 - - - - E814.1 - - - - E800.2 - - - - E807.8 - - - - E814.2 - - - - E800.3 - - - - E807.9 7 7 - 7 E814.3 - - - - E800.8 - - - - E810.0 150 152 2 152 E814.4 - - - - E800.9 3 3 - 3 E810.1 73 73 - 73 E814.5 - - - - E801.0 - - - - E810.2 3 3 - 3 E814.6 - - - - E801.1 - - - - E810.3 - - - - E814.7 5342 5406 64 5406 E801.2 - - - - E810.4 - - - - E814.8 - - - - E801.3 7 7 - 7 E810.5 - - - - E814.9 8 8 - 8 E801.8 2 2 - 2 E810.6 - - - - E815.0 3173 3243 70 3243 E801.9 - - - - E810.7 1 1 - 1 E815.1 1085 1095 10 1095 E802.0 1 1 - 1 E810.8 2 2 - 2 E815.2 344 344 - 344 E802.1 - - - - E810.9 80 81 1 81 E815.3 28 28 - 28 E802.2 - - - - E811.0 28 28 - 28 E815.4 - - - - E802.3 - - - - E811.1 6 5 - 5 E815.5 - - - - E802.8 - - - - E811.2 - - - - E815.6 2 2 - 2 E802.9 - - - - E811.3 - - - - E815.7 1 1 - 1 E803.0 - - - - E811.4 - - - - E815.8 4 4 - 4 E803.1 - - - - E811.5 - - - - E815.9 748 757 9 757 E803.2 - - - - E811.6 - - - - E816.0 3605 3662 57 3662 E803.3 - - - - E811.7 - - - - E816.1 1535 1543 8 1543 E803.8 - - - - E811.8 - - - - E816.2 259 261 2 261 E803.9 - - - - E811.9 - - - - E816.3 24 24 - 24 E804.0 3 3 - 3 E812.0 8425 8533 108 8533 E816.4 - - - - E804.1 1 1 - 1 E812.1 3975 4033 58 4033 E816.5 - - - - E804.2 2 2 - 2 E812.2 801 806 5 806 E816.6 - - - - E804.3 - - - - E812.3 68 69 1 69 E816.7 2 2 - 2 E804.8 2 2 - 2 E812.4 - - - - E816.8 12 12 - 12 E804.9 7 7 - 7 E812.5 - - - - E816.9 1080 1107 27 1107 E805.0 - - - - E812.6 1 1 - 1 E817.0 - - - - E805.1 - - - - E812.7 4 4 - 4 E817.1 4 4 - 4 E805.2 462 464 2 464 E812.8 12 12 - 12 E817.2 - - - - E805.3 2 2 - 2 E812.9 2810 2864 55 2864 E817.3 - - - - E805.8 1 1 - 1 E813.0 4 5 1 5 E817.4 - - - - E805.9 12 12 - 12 E813.1 1 1 - 1 E817.5 - - - - E806.0 1 1 - 1 E813.2 2 2 - 2 E817.6 - - - - E806.1 - - - - E813.3 - - - - E817.7 2 2 - 2 E806.2 1 1 - 1 E813.4 - - - - E817.8 - - - - E806.3 - - - - E813.5 8 8 - 8 E817.9 6 9 3 9 E806.8 - - - - E813.6 680 685 5 685 E818.0 231 231 - 231 E806.9 - - - - E813.7 2 2 - 2 E818.1 262 266 4 266 E807.0 - - - - E813.8 8 8 - 8 E818.2 16 16 - 16 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E818.3 5 5 - 5 E822.7 456 465 9 465 E827.4 - - - - E818.4 - 1 1 1 E822.8 1 1 - 1 E827.8 - - - - E818.5 - - - - E822.9 56 58 2 58 E827.9 2 2 - 2 E818.6 - - - - E823.0 56 57 1 57 E828.0 - - - - E818.7 7 7 - 7 E823.1 11 11 - 11 E828.1 1 1 - 1 E818.8 14 15 1 15 E823.2 9 9 - 9 E828.2 81 83 2 83 E818.9 466 474 8 474 E823.3 - - - - E828.3 - - - - E819.0 1412 1458 46 1458 E823.4 - - - - E828.4 - - - - E819.1 810 832 22 832 E823.5 - - - - E828.8 2 2 - 2 E819.2 123 124 1 124 E823.6 - - - - E828.9 7 8 1 8 E819.3 18 18 - 18 E823.7 2 2 - 2 E829.0 - 1 1 1 E819.4 - - - - E823.8 1 1 - 1 E829.1 1 1 - 1 E819.5 - - - - E823.9 12 12 - 12 E829.2 - - - - E819.6 - - - - E824.0 1 1 - 1 E829.3 - - - - E819.7 1 1 - 1 E824.1 2 2 - 2 E829.4 - - - - E819.8 4 4 - 4 E824.2 - - - - E829.8 2 2 - 2 E819.9 4348 4752 405 4752 E824.3 - - - - E829.9 2 2 - 2 E820.0 40 40 - 40 E824.4 - - - - E830.0 44 44 - 44 E820.1 1 1 - 1 E824.5 - - - - E830.1 22 22 - 22 E820.2 - - - - E824.6 - - - - E830.2 6 6 - 6 E820.3 - - - - E824.7 2 2 - 2 E830.3 - - - - E820.4 - - - - E824.8 - - - - E830.4 - - - - E820.5 - - - - E824.9 15 19 4 19 E830.5 - - - - E820.6 - - - - E825.0 89 94 5 94 E830.6 - - - - E820.7 1 1 - 1 E825.1 31 32 1 32 E830.8 - - - - E820.8 1 1 - 1 E825.2 23 23 - 23 E830.9 132 133 1 133 E820.9 50 50 - 50 E825.3 1 1 - 1 E831.0 2 2 - 2 E821.0 72 72 - 72 E825.4 - - - - E831.1 25 25 - 25 E821.1 10 10 - 10 E825.5 - - - - E831.2 2 2 - 2 E821.2 3 3 - 3 E825.6 1 1 - 1 E831.3 2 2 - 2 E821.3 - - - - E825.7 16 16 - 16 E831.4 - - - - E821.4 - - - - E825.8 1 1 - 1 E831.5 - - - - E821.5 1 1 - 1 E825.9 134 143 9 143 E831.6 - - - - E821.6 - - - - E826.0 7 7 - 7 E831.8 1 1 - 1 E821.7 8 8 - 8 E826.1 118 124 6 124 E831.9 36 39 3 39 E821.8 30 35 5 35 E826.2 1 1 - 1 E832.0 29 29 - 29 E821.9 77 80 3 80 E826.3 - - - - E832.1 13 13 - 13 E822.0 79 79 - 79 E826.4 - - - - E832.2 10 10 - 10 E822.1 7 7 - 7 E826.8 - - - - E832.3 1 1 - 1 E822.2 5 5 - 5 E826.9 7 9 2 9 E832.4 - - - - E822.3 - - - - E827.0 - - - - E832.5 - - - - E822.4 - - - - E827.1 - - - - E832.6 - - - - E822.5 - - - - E827.2 - 1 1 1 E832.8 1 1 - 1 E822.6 5 5 - 5 E827.3 4 4 - 4 E832.9 184 186 2 186 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E833.0 - - - - E837.9 6 6 - 6 E843.4 - - - - E833.1 - - - - E838.0 - - - - E843.5 - - - - E833.2 - - - - E838.1 27 27 - 27 E843.6 - - - - E833.3 - - - - E838.2 - - - - E843.7 - - - - E833.4 - - - - E838.3 - - - - E843.8 - - - - E833.5 - - - - E838.4 4 4 - 4 E843.9 - - - - E833.6 - - - - E838.5 3 3 - 3 E844.0 - - - - E833.8 - - - - E838.6 - - - - E844.1 - - - - E833.9 - - - - E838.8 3 3 - 3 E844.2 1 1 - 1 E834.0 - - - - E838.9 101 101 - 101 E844.3 - - - - E834.1 - - - - E840.0 - - - - E844.4 - - - - E834.2 1 1 - 1 E840.1 1 1 - 1 E844.5 5 5 - 5 E834.3 - - - - E840.2 2 2 - 2 E844.6 2 2 - 2 E834.4 - - - - E840.3 16 16 - 16 E844.7 33 34 1 34 E834.5 - - - - E840.4 - - - - E844.8 1 1 - 1 E834.6 - - - - E840.5 13 13 - 13 E844.9 6 6 - 6 E834.8 1 1 - 1 E840.6 - - - - E845.0 - - - - E834.9 24 26 2 26 E840.7 - - - - E845.1 - - - - E835.0 - - - - E840.8 - - - - E845.2 - - - - E835.1 - 1 1 1 E840.9 5 5 - 5 E845.3 - - - - E835.2 - - - - E841.0 1 1 - 1 E845.4 - - - - E835.3 - - - - E841.1 30 30 - 30 E845.5 - - - - E835.4 - - - - E841.2 68 69 1 69 E845.6 - - - - E835.5 - - - - E841.3 328 329 1 329 E845.7 - - - - E835.6 - - - - E841.4 6 6 - 6 E845.8 - - - - E835.8 - - - - E841.5 130 130 - 130 E845.9 - - - - E835.9 9 10 1 10 E841.6 2 2 - 2 E846 2 2 - 2 E836.0 - - - - E841.7 3 3 - 3 E847 - - - - E836.1 - - - - E841.8 - - - - E848 137 208 71 208 E836.2 - - - - E841.9 20 20 - 20 E850.0 2718 2931 213 2931 E836.3 - - - - E842.0 - - - - E850.1 32 44 12 44 E836.4 - - - - E842.1 - - - - E850.2 94 118 24 118 E836.5 - - - - E842.2 - - - - E850.3 2 2 - 2 E836.6 - - - - E842.3 - 3 3 3 E850.4 7 7 - 7 E836.8 - - - - E842.4 - - - - E850.5 104 115 11 115 E836.9 - - - - E842.5 - - - - E850.8 175 235 60 235 E837.0 - - - - E842.6 16 16 - 16 E850.9 9 10 1 10 E837.1 - - - - E842.7 2 2 - 2 E851 16 21 5 21 E837.2 1 1 - 1 E842.8 - - - - E852.0 1 1 - 1 E837.3 - - - - E842.9 1 1 - 1 E852.1 - - - - E837.4 - - - - E843.0 - - - - E852.2 3 3 - 3 E837.5 - - - - E843.1 - - - - E852.3 - - - - E837.6 - - - - E843.2 - - - - E852.4 - - - - E837.8 2 2 - 2 E843.3 - - - - E852.5 2 2 - 2 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E852.8 1 1 - 1 E861.5 - - - - E868.1 11 11 - 11 E852.9 1 1 - 1 E861.6 1 2 1 2 E868.2 190 198 8 198 E853.0 19 23 4 23 E861.9 - - - - E868.3 60 60 - 60 E853.1 1 1 - 1 E862.0 - - - - E868.8 18 18 - 18 E853.2 52 66 14 66 E862.1 7 8 1 8 E868.9 128 136 8 136 E853.8 31 35 4 35 E862.2 - 1 1 1 E869.0 1 1 - 1 E853.9 4 4 - 4 E862.3 - - - - E869.1 - - - - E854.0 162 199 37 199 E862.4 30 39 9 39 E869.2 11 11 - 11 E854.1 3 9 6 9 E862.9 - - - - E869.3 - - - - E854.2 166 272 106 272 E863.0 1 1 - 1 E869.8 67 99 32 99 E854.3 3 4 1 4 E863.1 3 4 1 4 E869.9 8 10 2 10 E855.0 30 60 30 60 E863.2 - 1 1 1 E870.0 187 216 29 216 E855.1 25 31 6 31 E863.3 - - - - E870.1 1 1 - 1 E855.2 1430 1914 484 1914 E863.4 2 2 - 2 E870.2 16 18 2 18 E855.3 1 1 - 1 E863.5 - - - - E870.3 1 2 1 2 E855.4 6 6 - 6 E863.6 2 2 - 2 E870.4 33 41 8 41 E855.5 7 10 3 10 E863.7 - - - - E870.5 31 39 8 39 E855.6 - - - - E863.8 - - - - E870.6 29 34 5 34 E855.8 41 50 9 50 E863.9 - 1 1 1 E870.7 8 10 2 10 E855.9 - - - - E864.0 - - - - E870.8 70 83 13 83 E856 39 60 21 60 E864.1 3 4 1 4 E870.9 12 15 3 15 E857 4 11 7 11 E864.2 1 2 1 2 E871.0 3 4 1 4 E858.0 21 35 14 35 E864.3 - - - - E871.1 - - - - E858.1 57 86 29 86 E864.4 1 2 1 2 E871.2 - - - - E858.2 51 81 30 81 E865.0 - - - - E871.3 - - - - E858.3 194 484 290 484 E865.1 1 1 - 1 E871.4 1 1 - 1 E858.4 3 4 1 4 E865.2 - - - - E871.5 1 1 - 1 E858.5 33 73 40 73 E865.3 - - - - E871.6 - - - - E858.6 27 36 9 36 E865.4 - - - - E871.7 2 2 - 2 E858.7 4 6 2 6 E865.5 1 1 - 1 E871.8 2 3 1 3 E858.8 2465 2613 149 2613 E865.8 - - - - E871.9 - - - - E858.9 1794 2173 379 2173 E865.9 1 1 - 1 E872.0 - - - - E860.0 6 11 5 11 E866.0 1 4 3 4 E872.1 - - - - E860.1 146 928 782 928 E866.1 2 3 1 3 E872.2 2 2 - 2 E860.2 10 10 - 10 E866.2 - - - - E872.3 - 1 1 1 E860.3 12 19 7 19 E866.3 - 1 1 1 E872.4 - - - - E860.4 - 1 1 1 E866.4 32 63 31 63 E872.5 1 - - - E860.8 1 1 - 1 E866.5 - 1 1 1 E872.6 - - - - E860.9 125 488 363 488 E866.6 - - - - E872.8 - - - - E861.0 - - - - E866.7 1 1 - 1 E872.9 - - - - E861.1 1 1 - 1 E866.8 8 13 5 13 E873.0 2 3 1 3 E861.2 1 1 - 1 E866.9 10 15 5 15 E873.1 - - - - E861.3 2 5 3 5 E867 15 17 2 17 E873.2 - 3 3 3 E861.4 5 6 1 6 E868.0 37 40 3 40 E873.3 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E873.4 - - - - E879.9 14 122 108 122 E900.0 225 336 111 336 E873.5 - - - - E880.0 1 1 - 1 E900.1 24 31 7 31 E873.6 1 1 - 1 E880.9 1388 1528 140 1528 E900.9 126 271 145 271 E873.8 - - - - E881.0 284 308 24 308 E901.0 201 248 47 248 E873.9 - - - - E881.1 68 68 - 68 E901.1 3 3 - 3 E874.0 3 3 - 3 E882 550 624 74 624 E901.8 8 15 7 15 E874.1 3 3 - 3 E883.0 57 59 2 59 E901.9 208 314 106 314 E874.2 3 4 1 4 E883.1 2 2 - 2 E902.0 3 6 3 6 E874.3 2 3 1 3 E883.2 - - - - E902.1 - - - - E874.4 1 1 - 1 E883.9 36 41 5 41 E902.2 8 8 - 8 E874.5 - - - - E884.0 2 2 - 2 E902.8 - - - - E874.8 3 4 1 4 E884.1 63 64 1 64 E902.9 15 35 20 35 E874.9 - - - - E884.2 508 754 246 754 E903 - - - - E875.0 - 77 77 77 E884.9 614 668 54 668 E904.0 6 11 5 11 E875.1 1 1 - 1 E885 740 953 213 953 E904.1 110 157 47 157 E875.2 - - - - E886.0 2 2 - 2 E904.2 3 4 1 4 E875.8 - - - - E886.9 4 5 1 5 E904.3 132 236 104 236 E875.9 1 1 - 1 E887 3679 12627 8948 12628 E904.9 1 3 2 3 E876.0 1 3 2 3 E888 8276 11430 3155 11431 E905.0 - 1 1 1 E876.1 1 2 1 2 E890.0 6 7 1 7 E905.1 5 9 4 9 E876.2 1 1 - 1 E890.1 1 2 1 2 E905.2 - - - - E876.3 3 3 - 3 E890.2 2047 2069 22 2069 E905.3 46 51 5 51 E876.4 1 1 - 1 E890.3 387 402 15 402 E905.4 - - - - E876.5 1 1 - 1 E890.8 22 28 6 28 E905.5 9 11 2 11 E876.8 100 119 19 119 E890.9 99 113 14 113 E905.6 - - - - E876.9 2 3 1 3 E891.0 - - - - E905.7 1 1 - 1 E878.0 66 1487 1421 1487 E891.1 1 1 - 1 E905.8 - 1 1 1 E878.1 302 3543 3241 3543 E891.2 38 38 - 38 E905.9 3 4 1 4 E878.2 192 5217 5025 5217 E891.3 24 26 2 26 E906.0 15 17 2 17 E878.3 134 703 569 703 E891.8 3 3 - 3 E906.1 1 1 - 1 E878.4 116 1847 1731 1847 E891.9 4 4 - 4 E906.2 - - - - E878.5 206 879 673 879 E892 55 55 - 55 E906.3 4 7 3 7 E878.6 163 3400 3237 3400 E893.0 64 68 4 68 E906.4 6 10 4 10 E878.8 188 1558 1370 1558 E893.1 8 8 - 8 E906.8 63 69 6 69 E878.9 754 5514 4760 5514 E893.2 21 21 - 21 E906.9 4 4 - 4 E879.0 14 111 97 111 E893.8 53 55 2 55 E907 63 63 - 63 E879.1 50 550 500 550 E893.9 25 25 - 25 E908 204 206 2 206 E879.2 18 1321 1303 1321 E894 55 57 2 57 E909 24 24 - 24 E879.3 1 3 2 3 E895 34 39 5 39 E910.0 3 3 - 3 E879.4 7 25 18 25 E896 3 3 - 3 E910.1 33 34 1 34 E879.5 - 1 1 1 E897 25 28 3 28 E910.2 649 653 4 653 E879.6 84 337 253 337 E898.0 16 16 - 16 E910.3 57 58 1 58 E879.7 - 2 2 2 E898.1 63 66 3 66 E910.4 337 382 45 382 E879.8 389 2525 2136 2525 E899 201 294 93 294 E910.8 2304 2370 66 2370 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E910.9 581 596 15 596 E923.0 13 13 - 13 E930.8 - 58 58 58 E911 1147 2880 1733 2880 E923.1 3 3 - 3 E930.9 4 117 113 117 E912 2368 18451 16083 18451 E923.2 60 64 4 64 E931.0 2 9 7 9 E913.0 247 266 19 266 E923.8 31 33 2 33 E931.1 - - - - E913.1 27 28 1 28 E923.9 48 52 4 52 E931.2 - - - - E913.2 13 15 2 15 E924.0 75 83 8 83 E931.3 - 1 1 1 E913.3 55 59 4 59 E924.1 7 22 15 22 E931.4 - 2 2 2 E913.8 400 428 28 428 E924.8 20 27 7 27 E931.5 - - - - E913.9 328 422 94 422 E924.9 6 9 3 9 E931.6 - 1 1 1 E914 - - - - E925.0 59 60 1 60 E931.7 - 12 12 12 E915 23 36 13 36 E925.1 144 149 5 149 E931.8 1 13 12 13 E916 723 748 25 748 E925.2 27 27 - 27 E931.9 - 12 12 12 E917.0 32 38 6 38 E925.8 131 133 2 133 E932.0 3 437 434 437 E917.1 - - - - E925.9 187 318 131 318 E932.1 - 7 7 7 E917.2 1 1 - 1 E926.0 - - - - E932.2 - 3 3 3 E917.9 303 322 19 322 E926.1 - - - - E932.3 8 57 49 57 E918 118 130 12 130 E926.2 - - - - E932.4 - 3 3 3 E919.0 567 578 11 578 E926.3 - - - - E932.5 - 1 1 1 E919.1 52 53 1 53 E926.4 - - - - E932.6 - - - - E919.2 114 115 1 115 E926.5 - - - - E932.7 - - - - E919.3 8 8 - 8 E926.8 - - - - E932.8 - 2 2 2 E919.4 12 13 1 13 E926.9 - - - - E932.9 - 4 4 4 E919.5 1 1 - 1 E927 14 32 18 32 E933.0 1 3 2 3 E919.6 11 11 - 11 E928.0 1 1 - 1 E933.1 6 2068 2062 2068 E919.7 79 80 1 80 E928.1 - - - - E933.2 - 1 1 1 E919.8 108 111 3 111 E928.2 - - - - E933.3 - - - - E919.9 66 68 2 68 E928.8 17 23 6 23 E933.4 - - - - E920.0 3 3 - 3 E928.9 3173 5057 1884 5057 E933.5 - 1 1 1 E920.1 7 7 - 7 E929.0 297 393 96 393 E933.8 - - - - E920.2 - - - - E929.1 15 23 8 23 E933.9 - 1 1 1 E920.3 6 6 - 6 E929.2 11 37 26 37 E934.0 2 8 6 8 E920.4 16 17 1 17 E929.3 244 753 509 753 E934.1 - 2 2 2 E920.8 54 63 9 63 E929.4 5 16 11 16 E934.2 12 1222 1210 1222 E920.9 35 42 7 42 E929.5 11 26 15 26 E934.3 - - - - E921.0 2 2 - 2 E929.8 56 132 76 132 E934.4 2 173 171 173 E921.1 5 5 - 5 E929.9 266 626 360 626 E934.5 7 45 38 45 E921.8 22 22 - 22 E930.0 3 16 13 16 E934.6 - 2 2 2 E921.9 2 2 - 2 E930.1 - 5 5 5 E934.7 - - - - E922.0 140 140 - 140 E930.2 - 1 1 1 E934.8 1 5 4 5 E922.1 87 87 - 87 E930.3 - 4 4 4 E934.9 - 1 1 1 E922.2 50 56 6 56 E930.4 - 2 2 2 E935.0 21 50 29 50 E922.3 3 3 - 3 E930.5 3 7 4 7 E935.1 2 25 23 25 E922.8 3 3 - 3 E930.6 - 5 5 5 E935.2 2 14 12 14 E922.9 583 610 28 610 E930.7 1 83 82 83 E935.3 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E935.4 - 13 13 13 E941.3 1 1 - 1 E946.6 - - - - E935.5 1 3 2 3 E941.9 - - - - E946.7 - - - - E935.8 - 24 24 24 E942.0 4 64 60 64 E946.8 - 1 1 1 E935.9 - 9 9 9 E942.1 2 29 27 29 E946.9 - - - - E936.0 - - - - E942.2 - 3 3 3 E947.0 - 4 4 4 E936.1 5 19 14 19 E942.3 - - - - E947.1 - - - - E936.2 - - - - E942.4 1 1 - 1 E947.2 - - - - E936.3 2 16 14 16 E942.5 - - - - E947.3 - - - - E936.4 - 1 1 1 E942.6 1 6 5 6 E947.4 1 1 - 1 E937.0 - - - - E942.7 - 1 1 1 E947.8 30 133 103 133 E937.1 1 1 - 1 E942.8 2 5 3 5 E947.9 105 592 487 592 E937.2 - - - - E942.9 - - - - E948.0 - - - - E937.3 - - - - E943.0 - - - - E948.1 - - - - E937.4 - - - - E943.1 - - - - E948.2 - - - - E937.5 - - - - E943.2 - - - - E948.3 - - - - E937.6 - - - - E943.3 - 1 1 1 E948.4 - - - - E937.8 - - - - E943.4 - 1 1 1 E948.5 - - - - E937.9 - 7 7 7 E943.5 - - - - E948.6 - 1 1 1 E938.0 - - - - E943.6 - - - - E948.8 - - - - E938.1 - - - - E943.8 - - - - E948.9 - - - - E938.2 - 1 1 1 E943.9 - - - - E949.0 - - - - E938.3 1 3 2 3 E944.0 - - - - E949.1 - - - - E938.4 2 24 22 24 E944.1 - 3 3 3 E949.2 - - - - E938.5 7 24 17 24 E944.2 - - - - E949.3 - - - - E938.6 - - - - E944.3 - - - - E949.4 - - - - E938.7 2 3 1 3 E944.4 - 12 12 12 E949.5 - - - - E938.9 3 50 47 50 E944.5 - 2 2 2 E949.6 - - - - E939.0 11 17 7 17 E944.6 - 5 5 5 E949.7 - - - - E939.1 - 10 10 10 E944.7 1 5 4 5 E949.9 - - - - E939.2 - 6 6 6 E945.0 - 1 1 1 E950.0 508 527 19 527 E939.3 1 12 11 12 E945.1 - - - - E950.1 86 90 4 90 E939.4 2 6 4 6 E945.2 - 3 3 3 E950.2 35 37 2 37 E939.5 - - - - E945.3 - - - - E950.3 702 730 28 730 E939.6 - - - - E945.4 - - - - E950.4 930 993 63 993 E939.7 3 8 5 8 E945.5 - - - - E950.5 877 919 42 919 E939.8 - 6 6 6 E945.6 - 1 1 1 E950.6 28 30 2 30 E939.9 - 3 3 3 E945.7 - 2 2 2 E950.7 29 33 4 33 E940.0 1 1 - 1 E945.8 1 5 4 5 E950.8 2 2 - 2 E940.1 - - - - E946.0 2 83 81 83 E950.9 149 354 205 354 E940.8 - - - - E946.1 - - - - E951.0 7 7 - 7 E940.9 1 1 - 1 E946.2 - - - - E951.1 10 12 2 12 E941.0 - 2 2 2 E946.3 - 1 1 1 E951.8 3 5 2 5 E941.1 - - - - E946.4 - 4 4 4 E952.0 1329 1337 8 1337 E941.2 1 3 2 3 E946.5 - - - - E952.1 361 366 5 366 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E952.8 14 15 1 15 E965.5 - - - - E983.1 10 12 2 12 E952.9 2 2 - 2 E965.6 - - - - E983.8 24 25 1 25 E953.0 5164 5169 5 5169 E965.7 1 1 - 1 E983.9 33 35 2 35 E953.1 389 402 13 402 E965.8 2 2 - 2 E984 249 256 7 256 E953.8 14 15 1 15 E965.9 1 1 - 1 E985.0 50 50 - 50 E953.9 159 162 3 162 E966 2087 2150 63 2150 E985.1 27 27 - 27 E954 375 388 13 388 E967.0 4 5 1 5 E985.2 6 6 - 6 E955.0 3541 3556 15 3556 E967.1 4 4 - 4 E985.3 - - - - E955.1 2303 2329 26 2329 E967.9 186 198 12 198 E985.4 233 241 8 241 E955.2 849 853 4 853 E968.0 190 212 22 212 E985.5 3 3 - 3 E955.3 4 5 1 5 E968.1 29 30 1 30 E986 8 10 2 10 E955.4 10727 10782 55 10782 E968.2 259 270 11 270 E987.0 17 21 4 21 E955.5 5 5 - 5 E968.3 6 6 - 6 E987.1 31 33 2 33 E955.9 3 3 - 3 E968.4 27 40 13 40 E987.2 6 6 - 6 E956 476 506 30 506 E968.8 783 835 52 835 E987.9 2 2 - 2 E957.0 143 145 2 145 E968.9 1467 1580 113 1580 E988.0 9 9 - 9 E957.1 275 278 3 278 E969 90 108 18 108 E988.1 88 91 3 91 E957.2 15 15 - 15 E970 304 304 - 304 E988.2 3 6 3 6 E957.9 188 191 3 191 E971 - 1 1 1 E988.3 5 10 5 10 E958.0 321 323 2 323 E972 - - - - E988.4 5 5 - 5 E958.1 158 169 11 169 E973 3 3 - 3 E988.5 13 14 1 14 E958.2 2 2 - 2 E974 1 1 - 1 E988.6 - - - - E958.3 3 6 3 6 E975 6 7 1 7 E988.7 1 1 - 1 E958.4 6 6 - 6 E976 2 2 - 2 E988.8 85 115 30 115 E958.5 133 135 2 135 E977 1 2 1 2 E988.9 324 372 48 372 E958.6 - - - - E978 62 64 2 64 E989 25 37 12 37 E958.7 1 1 - 1 E980.0 899 938 39 938 E990.0 - - - - E958.8 138 146 8 146 E980.1 8 9 1 9 E990.9 - - - - E958.9 96 218 122 218 E980.2 8 9 1 9 E991.0 - - - - E959 15 20 5 20 E980.3 171 186 15 186 E991.1 - - - - E960.0 140 166 26 166 E980.4 846 904 58 904 E991.2 - - - - E960.1 5 7 2 7 E980.5 366 399 33 399 E991.3 - - - - E961 1 2 1 2 E980.6 1 3 2 3 E991.9 - 1 1 1 E962.0 41 60 19 60 E980.7 4 4 - 4 E992 - - - - E962.1 20 20 - 20 E980.8 - - - - E993 1 1 - 1 E962.2 24 24 - 24 E980.9 48 159 111 159 E994 - - - - E962.9 1 2 1 2 E981.0 - - - - E995 2 2 - 2 E963 661 698 37 698 E981.1 - - - - E996 - 1 1 1 E964 66 77 11 77 E981.8 - - - - E997.0 - - - - E965.0 1047 1050 3 1050 E982.0 42 44 2 44 E997.1 - - - - E965.1 747 749 2 749 E982.1 32 32 - 32 E997.2 - - - - E965.2 141 141 - 141 E982.8 7 7 - 7 E997.8 - - - - E965.3 - - - - E982.9 1 1 - 1 E997.9 - - - - E965.4 9863 9897 34 9897 E983.0 56 58 2 58 E998 - - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY E999 14 45 31 45 N844 ... 3 3 3 N896 ... 3 3 3 N800 ... 73 73 73 N845 ... 7 7 7 N897 ... 52 52 52 N801 ... 846 846 846 N846 ... 1 1 1 N900 ... 230 230 230 N802 ... 307 307 307 N847 ... 16 16 16 N901 ... 1988 1988 1988 N803 ... 3534 3534 3534 N848 ... 7 7 7 N902 ... 368 368 368 N805 ... 4024 4024 4024 N850 ... 173 173 173 N903 ... 76 76 76 N806 ... 2 2 2 N851 ... 2306 2306 2306 N904 ... 608 608 608 N807 ... 2323 2323 2323 N852 ... 6497 6497 6497 N905.0 ... 13 13 13 N808 ... 1433 1433 1433 N853 ... 2223 2223 2223 N905.1 ... 155 155 155 N809 ... 17 17 17 N854 ... 27901 27901 27901 N905.2 ... 15 15 15 N810 ... 116 116 116 N860 ... 1329 1329 1329 N905.3 ... 373 373 373 N811 ... 14 14 14 N861 ... 2820 2820 2820 N905.4 ... 43 43 43 N812 ... 923 923 923 N862 ... 8420 8420 8420 N905.5 ... 37 37 37 N813 ... 121 121 121 N863 ... 704 704 704 N905.6 ... 12 12 12 N814 ... 154 154 154 N864 ... 1197 1197 1197 N905.7 ... 1 1 1 N815 ... 12 12 12 N865 ... 711 711 711 N905.8 ... - - - N816 ... 8 8 8 N866 ... 201 201 201 N905.9 ... 4 4 4 N817 ... - - - N867 ... 152 152 152 N906.0 ... 130 130 130 N818 ... 181 181 181 N868 ... 3267 3267 3267 N906.1 ... 14 14 14 N819 ... 23 23 23 N869 ... 2573 2573 2573 N906.2 ... - - - N820 ... 13639 13639 13639 N870 ... 6 6 6 N906.3 ... 7 7 7 N821 ... 1957 1957 1957 N871 ... 35 35 35 N906.4 ... 3 3 3 N822 ... 89 89 89 N872 ... 21 21 21 N906.5 ... - - - N823 ... 399 399 399 N873 ... 18596 18596 18596 N906.6 ... - - - N824 ... 254 254 254 N874 ... 1747 1747 1747 N906.7 ... 2 2 2 N825 ... 35 35 35 N875 ... 6847 6847 6847 N906.8 ... 1 1 1 N826 ... 3 3 3 N876 ... 860 860 860 N906.9 ... 11 11 11 N827 ... 285 285 285 N877 ... 69 69 69 N907.0 ... 836 836 836 N828 ... 190 190 190 N878 ... 7 7 7 N907.1 ... 4 4 4 N829 ... 1383 1383 1383 N879 ... 11172 11172 11172 N907.2 ... 273 273 273 N830 ... 6 6 6 N880 ... 162 162 162 N907.3 ... 1 1 1 N831 ... 34 34 34 N881 ... 229 229 229 N907.4 ... - - - N832 ... - - - N882 ... 64 64 64 N907.5 ... - - - N833 ... 3 3 3 N883 ... 7 7 7 N907.9 ... 10 10 10 N834 ... - - - N884 ... 453 453 453 N908.0 ... 19 19 19 N835 ... 87 87 87 N885 ... - - - N908.1 ... 16 16 16 N836 ... 11 11 11 N886 ... 14 14 14 N908.2 ... 3 3 3 N837 ... 3 3 3 N887 ... 40 40 40 N908.3 ... 13 13 13 N838 ... 1 1 1 N890 ... 190 190 190 N908.4 ... 12 12 12 N839 ... 453 453 453 N891 ... 227 227 227 N908.5 ... 1 1 1 N840 ... 3 3 3 N892 ... 18 18 18 N908.6 ... 31 31 31 N841 ... - - - N893 ... - - - N908.9 ... 231 231 231 N842 ... - - - N894 ... 46 46 46 N909.0 ... 19 19 19 N843 ... 3 3 3 N895 ... - - - N909.1 ... 20 20 20 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY N909.2 ... 12 12 12 N941.3 ... 22 22 22 N950 ... 9 9 9 N909.3 ... 872 872 872 N941.4 ... 1 1 1 N951 ... 3 3 3 N909.4 ... 45 45 45 N942.0 ... 199 199 199 N952 ... 1844 1844 1844 N909.9 ... 17 17 17 N942.1 ... - - - N953 ... 4 4 4 N910 ... 43 43 43 N942.2 ... 8 8 8 N954 ... 10 10 10 N911 ... 27 27 27 N942.3 ... 43 43 43 N955 ... 2 2 2 N912 ... 5 5 5 N942.4 ... 18 18 18 N956 ... 2 2 2 N913 ... 12 12 12 N943.0 ... 43 43 43 N957 ... 91 91 91 N914 ... 1 1 1 N943.1 ... - - - N958.0 ... 48 48 48 N915 ... - - - N943.2 ... 2 2 2 N958.1 ... 167 167 167 N916 ... 14 14 14 N943.3 ... 16 16 16 N958.2 ... - - - N917 ... 3 3 3 N943.4 ... 1 1 1 N958.3 ... 25 25 25 N918 ... 1 1 1 N944.0 ... 7 7 7 N958.4 ... 785 785 785 N919 ... 96 96 96 N944.1 ... 1 1 1 N958.5 ... 2 2 2 N920 ... 164 164 164 N944.2 ... 1 1 1 N958.6 ... 1 1 1 N921 ... 23 23 23 N944.3 ... 1 1 1 N958.7 ... 174 174 174 N922 ... 161 161 161 N944.4 ... - - - N958.8 ... 3158 3158 3158 N923 ... 24 24 24 N945.0 ... 55 55 55 N959.0 ... 3229 3229 3229 N924 ... 421 421 421 N945.1 ... 1 1 1 N959.1 ... 3808 3808 3808 N925 ... 40 40 40 N945.2 ... 3 3 3 N959.2 ... 92 92 92 N926 ... 37 37 37 N945.3 ... 15 15 15 N959.3 ... 71 71 71 N927 ... 6 6 6 N945.4 ... 2 2 2 N959.4 ... 14 14 14 N928 ... 15 15 15 N947.0 ... 1 1 1 N959.5 ... 1 1 1 N929 ... 451 451 451 N947.1 ... 14 14 14 N959.6 ... 139 139 139 N930 ... - - - N947.2 ... - - - N959.7 ... 267 267 267 N931 ... - - - N947.3 ... 2 2 2 N959.8 ... 17921 17921 17921 N932 ... 1 1 1 N947.4 ... - - - N959.9 ... 8004 8004 8004 N933 ... 14515 14515 14515 N947.8 ... - - - N960.0 ... 1 1 1 N934 ... 570 570 570 N947.9 ... 15 15 15 N960.1 ... 4 4 4 N935 ... 56 56 56 N948.0 ... 9 9 9 N960.2 ... 1 1 1 N936 ... 10 10 10 N948.1 ... 37 37 37 N960.3 ... 1 1 1 N937 ... 2 2 2 N948.2 ... 43 43 43 N960.4 ... 1 1 1 N938 ... 12 12 12 N948.3 ... 53 53 53 N960.5 ... 1 1 1 N939 ... 4 4 4 N948.4 ... 54 54 54 N960.6 ... 3 3 3 N940.0 ... - - - N948.5 ... 53 53 53 N960.7 ... 45 45 45 N940.1 ... - - - N948.6 ... 50 50 50 N960.8 ... 11 11 11 N940.2 ... - - - N948.7 ... 61 61 61 N960.9 ... 5 5 5 N940.3 ... - - - N948.8 ... 55 55 55 N961.0 ... 2 2 2 N940.4 ... - - - N948.9 ... 284 284 284 N961.1 ... 1 1 1 N940.5 ... - - - N949.0 ... 1925 1925 1925 N961.2 ... - - - N940.9 ... - - - N949.1 ... 4 4 4 N961.3 ... - - - N941.0 ... 51 51 51 N949.2 ... 48 48 48 N961.4 ... 7 7 7 N941.1 ... 1 1 1 N949.3 ... 143 143 143 N961.5 ... - - - N941.2 ... 4 4 4 N949.4 ... 24 24 24 N961.6 ... - - - - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY N961.7 ... 2 2 2 N967.0 ... 282 282 282 N972.7 ... 1 1 1 N961.8 ... 2 2 2 N967.1 ... 8 8 8 N972.8 ... 2 2 2 N961.9 ... 3 3 3 N967.2 ... - - - N972.9 ... 4 4 4 N962.0 ... 12 12 12 N967.3 ... - - - N973.0 ... 3 3 3 N962.1 ... 1 1 1 N967.4 ... 2 2 2 N973.1 ... - - - N962.2 ... - - - N967.5 ... 4 4 4 N973.2 ... - - - N962.3 ... 64 64 64 N967.6 ... - - - N973.3 ... 2 2 2 N962.4 ... - - - N967.8 ... 47 47 47 N973.4 ... 2 2 2 N962.5 ... - - - N967.9 ... 47 47 47 N973.5 ... - - - N962.6 ... - - - N968.0 ... 126 126 126 N973.6 ... - - - N962.7 ... 1 1 1 N968.1 ... - - - N973.8 ... - - - N962.8 ... 1 1 1 N968.2 ... 22 22 22 N973.9 ... - - - N962.9 ... - - - N968.3 ... 21 21 21 N974.0 ... - - - N963.0 ... 357 357 357 N968.4 ... 1 1 1 N974.1 ... 65 65 65 N963.1 ... 60 60 60 N968.5 ... 4439 4439 4439 N974.2 ... - - - N963.2 ... - - - N968.6 ... - - - N974.3 ... 6 6 6 N963.3 ... 1 1 1 N968.7 ... 5 5 5 N974.4 ... 2 2 2 N963.4 ... 1 1 1 N968.9 ... 30 30 30 N974.5 ... 2 2 2 N963.5 ... 1 1 1 N969.0 ... 1741 1741 1741 N974.6 ... 15 15 15 N963.8 ... 1 1 1 N969.1 ... 150 150 150 N974.7 ... 10 10 10 N963.9 ... - - - N969.2 ... 8 8 8 N975.0 ... 1 1 1 N964.0 ... 3 3 3 N969.3 ... 63 63 63 N975.1 ... 13 13 13 N964.1 ... 2 2 2 N969.4 ... 962 962 962 N975.2 ... 42 42 42 N964.2 ... 92 92 92 N969.5 ... 187 187 187 N975.3 ... 1 1 1 N964.3 ... 1 1 1 N969.6 ... 54 54 54 N975.4 ... 23 23 23 N964.4 ... 6 6 6 N969.7 ... 557 557 557 N975.5 ... 4 4 4 N964.5 ... 2 2 2 N969.8 ... 21 21 21 N975.6 ... 23 23 23 N964.6 ... 1 1 1 N969.9 ... 4 4 4 N975.7 ... 6 6 6 N964.7 ... 2 2 2 N970.0 ... - - - N975.8 ... 10 10 10 N964.8 ... 1 1 1 N970.1 ... - - - N976.0 ... 12 12 12 N964.9 ... - - - N970.8 ... 1 1 1 N976.1 ... - - - N965.0 ... 6575 6575 6575 N970.9 ... 2 2 2 N976.2 ... 1 1 1 N965.1 ... 185 185 185 N971.0 ... - - - N976.3 ... 2 2 2 N965.4 ... 488 488 488 N971.1 ... 31 31 31 N976.4 ... 4 4 4 N965.5 ... 3 3 3 N971.2 ... 31 31 31 N976.5 ... - - - N965.6 ... 19 19 19 N971.3 ... 1 1 1 N976.6 ... 2 2 2 N965.7 ... 604 604 604 N971.9 ... - - - N976.7 ... 3 3 3 N965.8 ... 821 821 821 N972.0 ... 199 199 199 N976.8 ... - - - N965.9 ... 45 45 45 N972.1 ... 421 421 421 N976.9 ... - - - N966.0 ... - - - N972.2 ... - - - N977.0 ... 18 18 18 N966.1 ... 54 54 54 N972.3 ... - - - N977.1 ... - - - N966.2 ... - - - N972.4 ... 17 17 17 N977.2 ... - - - N966.3 ... 125 125 125 N972.5 ... 1 1 1 N977.3 ... - - - N966.4 ... 4 4 4 N972.6 ... 17 17 17 N977.4 ... 1 1 1 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY N977.8 ... 202 202 202 N985.3 ... 1 1 1 N992.2 ... - - - N977.9 ... 7791 7791 7791 N985.4 ... 1 1 1 N992.3 ... 1 1 1 N978.0 ... - - - N985.5 ... 3 3 3 N992.4 ... - - - N978.1 ... - - - N985.6 ... - - - N992.5 ... 68 68 68 N978.2 ... - - - N985.8 ... 83 83 83 N992.6 ... - - - N978.3 ... - - - N985.9 ... 1 1 1 N992.7 ... 1 1 1 N978.4 ... - - - N986 ... 3129 3129 3129 N992.8 ... 20 20 20 N978.5 ... - - - N987.0 ... 38 38 38 N992.9 ... 204 204 204 N978.6 ... - - - N987.1 ... 26 26 26 N993.0 ... - - - N978.8 ... - - - N987.2 ... 1 1 1 N993.1 ... - - - N978.9 ... - - - N987.3 ... - - - N993.2 ... 22 22 22 N979.0 ... - - - N987.4 ... 16 16 16 N993.3 ... 5 5 5 N979.1 ... - - - N987.5 ... - - - N993.4 ... - - - N979.2 ... - - - N987.6 ... 1 1 1 N993.8 ... - - - N979.3 ... - - - N987.7 ... - - - N993.9 ... 12 12 12 N979.4 ... - - - N987.8 ... 2544 2544 2544 N994.0 ... 24 24 24 N979.5 ... - - - N987.9 ... 308 308 308 N994.1 ... 5977 5977 5977 N979.6 ... - - - N988.0 ... 1 1 1 N994.2 ... 184 184 184 N979.7 ... - - - N988.1 ... 1 1 1 N994.3 ... 15 15 15 N979.9 ... 15 15 15 N988.2 ... 1 1 1 N994.4 ... - - - N980.0 ... 1181 1181 1181 N988.8 ... 1 1 1 N994.5 ... 24 24 24 N980.1 ... 27 27 27 N988.9 ... - - - N994.6 ... - - - N980.2 ... 37 37 37 N989.0 ... 40 40 40 N994.7 ... 9143 9143 9143 N980.3 ... 1 1 1 N989.1 ... 10 10 10 N994.8 ... 605 605 605 N980.8 ... - - - N989.2 ... 2 2 2 N994.9 ... 265 265 265 N980.9 ... 719 719 719 N989.3 ... 15 15 15 N995.0 ... 168 168 168 N981 ... 6 6 6 N989.4 ... 21 21 21 N995.1 ... 41 41 41 N982.0 ... 20 20 20 N989.5 ... 67 67 67 N995.2 ... 265 265 265 N982.1 ... 1 1 1 N989.6 ... 2 2 2 N995.3 ... 75 75 75 N982.2 ... - - - N989.7 ... 1 1 1 N995.4 ... 1 1 1 N982.3 ... 11 11 11 N989.8 ... 48 48 48 N995.5 ... 210 210 210 N982.4 ... - - - N989.9 ... 74 74 74 N995.8 ... 17 17 17 N982.8 ... 91 91 91 N990 ... 32 32 32 N996.0 ... 281 281 281 N983.0 ... 4 4 4 N991.0 ... 1 1 1 N996.1 ... 73 73 73 N983.1 ... 20 20 20 N991.1 ... 1 1 1 N996.2 ... 27 27 27 N983.2 ... 15 15 15 N991.2 ... - - - N996.3 ... 14 14 14 N983.9 ... 24 24 24 N991.3 ... 5 5 5 N996.4 ... 15 15 15 N984.0 ... - - - N991.4 ... 2 2 2 N996.5 ... 241 241 241 N984.1 ... - - - N991.5 ... - - - N996.6 ... 2014 2014 2014 N984.8 ... - - - N991.6 ... 790 790 790 N996.7 ... 6222 6222 6222 N984.9 ... 4 4 4 N991.8 ... 2 2 2 N996.8 ... 1076 1076 1076 N985.0 ... 4 4 4 N991.9 ... 167 167 167 N996.9 ... 6 6 6 N985.1 ... 3 3 3 N992.0 ... 308 308 308 N997.0 ... 769 769 769 N985.2 ... - - - N992.1 ... - - - N997.1 ... 2846 2846 2846 - 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-9 CATEGORY: UNITED STATES, 1998 RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD RECORD COUNT BY CODE FIELD ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY ICD-9 UC RECORD AXIS ENTITY CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS CODE TOTAL SECOND- AXIS MENTION ARY MENTION ARY MENTION ARY N997.2 ... 470 470 470 N997.3 ... 4055 4055 4055 N997.4 ... 990 990 990 N997.5 ... 568 568 568 N997.6 ... 165 165 165 N997.9 ... 308 308 308 N998.0 ... 349 349 349 N998.1 ... 925 925 925 N998.2 ... 512 512 512 N998.3 ... 231 231 231 N998.4 ... 9 9 9 N998.5 ... 2335 2335 2335 N998.6 ... 81 81 81 N998.7 ... 16 16 16 N998.8 ... 652 652 652 N998.9 ... 553 553 553 N999.0 ... 1 1 1 N999.1 ... 9 9 9 N999.2 ... 7 7 7 N999.3 ... 97 97 97 N999.4 ... - - - N999.5 ... 4 4 4 N999.6 ... 4 4 4 N999.7 ... 1 1 1 N999.8 ... 743 743 743 N999.9 ... 427 427 427 - 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, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) ___________________________________________________________________________________________________________________________ | AGE _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | 004, 006.........| 18| -| 1| 1| 1| 1| 3| 1| -| 2| 1| 7| - | | | | | | | | | | | | | 007-009..........| 1,869| 298| 22| 3| 7| 6| 27| 47| 83| 258| 572| 546| - | | | | | | | | | | | | | 010-018..........| 2,585| 1| 4| 3| 26| 77| 251| 286| 343| 550| 667| 377| - | | | | | | | | | | | | | 010-012........| 1,714| -| 1| -| 12| 45| 159| 179| 206| 354| 467| 291| - | | | | | | | | | | | | | 013-018........| 890| 1| 3| 3| 15| 33| 93| 108| 141| 202| 203| 88| - | | | | | | | | | | | | | 033..............| 8| 7| 1| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 034-035..........| 16| -| 1| 2| -| 1| 1| 2| 1| 5| 3| -| - | | | | | | | | | | | | | 036..............| 256| 25| 35| 32| 52| 26| 22| 24| 7| 13| 9| 11| - | | | | | | | | | | | | | 038..............| 115,297| 714| 265| 274| 560| 1,402| 4,064| 7,370| 11,759| 23,605| 35,385| 29,891| 8 | | | | | | | | | | | | | 045..............| -| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 055..............| -| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 070..............| 8,733| 4| 4| 5| 44| 245| 1,725| 2,527| 1,403| 1,476| 1,047| 253| - | | | | | | | | | | | | | 090-097..........| 197| 4| -| 1| 2| 10| 17| 14| 24| 28| 53| 44| - | | | | | | | | | | | | | REM. 001-139 1/..| 30,417| 406| 161| 232| 435| 3,774| 7,987| 5,549| 3,145| 3,279| 3,331| 2,115| 3 | | | | | | | | | | | | | 140-208..........| 607,568| 93| 389| 1,071| 1,780| 4,615| 17,745| 47,718| 92,218|169,446|182,401| 90,078| 14 | | | | | | | | | | | | | 140-149..........| 9,672| -| 1| 6| 23| 58| 320| 1,144| 2,023| 2,663| 2,295| 1,139| - _________________________________________________________________________________________________________ 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, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | | AGE _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 150-159..........| 144,600| 6| 17| 26| 126| 672| 3,244| 10,827| 20,664| 38,637| 44,954| 25,423| 4 | | | | | | | | | | | | | 160-165..........| 173,333| 4| 3| 10| 48| 255| 2,994| 12,591| 32,670| 60,986| 50,086| 13,684| 2 | | | | | | | | | | | | | 174-175..........| 52,066| -| -| -| 6| 521| 3,119| 6,680| 8,137| 11,370| 12,926| 9,306| 1 | | | | | | | | | | | | | 179-187..........| 75,692| -| -| 5| 86| 523| 1,672| 3,602| 7,103| 17,383| 27,775| 17,542| 1 | | | | | | | | | | | | | 188-189..........| 29,369| 4| 21| 37| 26| 77| 508| 1,767| 3,770| 7,526| 9,845| 5,788| - | | | | | | | | | | | | | 170-173, 190-199.| 165,160| 51| 214| 613| 813| 1,813| 6,272| 15,278| 27,120| 46,037| 46,046| 20,898| 5 | | | | | | | | | | | | | 204-208..........| 24,847| 26| 128| 365| 494| 536| 1,006| 1,517| 2,656| 5,915| 7,831| 4,372| 1 | | | | | | | | | | | | | 200-203..........| 41,849| 5| 19| 63| 274| 683| 1,484| 3,082| 5,592| 11,160| 13,634| 5,852| 1 | | | | | | | | | | | | | 210-239..........| 13,878| 93| 66| 109| 162| 249| 479| 786| 1,238| 2,705| 4,349| 3,642| - | | | | | | | | | | | | | 250..............| 202,322| 2| 9| 31| 232| 1,105| 3,857| 11,212| 25,031| 52,107| 68,712| 40,021| 3 | | | | | | | | | | | | | 260-269..........| 32,955| 35| 14| 25| 68| 196| 539| 1,024| 1,925| 4,818| 10,437| 13,871| 3 | | | | | | | | | | | | | 280-285..........| 44,521| 63| 74| 113| 223| 517| 1,042| 1,614| 2,907| 6,883| 13,879| 17,205| 1 | | | | | | | | | | | | | 320-322..........| 2,015| 172| 79| 53| 61| 105| 241| 278| 279| 341| 316| 90| - | | | | | | | | | | | | | 390-448..........|1,378,638| 2,834| 939| 1,314| 3,074| 8,387| 28,509| 64,740|120,869|263,791|443,366|440,733| 82 | | | | | | | | | | | | | 390-398, 402, | | | | | | | | | | | | | 404-429......|1,160,353| 2,273| 779| 1,093| 2,658| 7,189| 24,589| 56,314|105,416|225,208|368,807|365,956| 71 | | | | | | | | | | | | | 390-398..........| 8,982| 12| 5| 10| 45| 114| 302| 534| 1,005| 2,051| 2,979| 1,925| - _________________________________________________________________________________________________________ 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, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | | AGE _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 402..............| 45,926| 4| 1| 1| 32| 362| 1,701| 3,947| 5,590| 8,494| 12,514| 13,274| 6 | | | | | | | | | | | | | 404..............| 3,202| -| -| -| 4| 26| 88| 151| 243| 593| 1,131| 966| - | | | | | | | | | | | | | 410-414..........| 593,466| 71| 25| 40| 195| 1,337| 8,190| 24,944| 53,028|120,463|197,884|187,266| 23 | | | | | | | | | | | | | 410..............| 241,734| 43| 19| 24| 114| 679| 4,272| 13,376| 27,051| 53,432| 78,858| 63,858| 8 | | | | | | | | | | | | | 411..............| 5,847| 5| -| 1| 10| 45| 217| 525| 740| 1,138| 1,579| 1,587| - | | | | | | | | | | | | | 413..............| 3,451| -| -| -| 2| 4| 25| 79| 223| 570| 1,165| 1,383| - | | | | | | | | | | | | | 412, 414.........| 445,456| 28| 7| 17| 92| 810| 5,315| 16,217| 35,993| 87,926|150,430|148,603| 18 | | | | | | | | | | | | | 424..............| 39,518| 31| 15| 17| 73| 198| 583| 1,080| 2,033| 5,997| 13,755| 15,734| 2 | | | | | | | | | | | | | 415-423, 425-429.| 842,894| 2,196| 755| 1,063| 2,484| 6,013| 18,324| 39,468| 73,416|158,336|265,689|275,099| 51 | | | | | | | | | | | | | 401, 403.........| 178,033| 27| 5| 11| 57| 478| 2,430| 7,652| 16,586| 36,464| 60,493| 53,825| 5 | | | | | | | | | | | | | 430-438..........| 277,747| 591| 172| 240| 401| 1,137| 3,990| 8,872| 17,074| 45,476| 97,791|101,990| 13 | | | | | | | | | | | | | 431-432..........| 36,159| 143| 56| 99| 187| 489| 1,710| 3,328| 4,357| 7,742| 11,704| 6,340| 4 | | | | | | | | | | | | | 434.0, 434.9.....| 18,249| 97| 25| 42| 46| 117| 335| 638| 1,200| 2,881| 6,105| 6,763| - | | | | | | | | | | | | | 434.1............| 1,892| 1| 1| 3| 5| 10| 38| 93| 138| 376| 672| 555| - | | | | | | | | | | | | | 430, 433, 435-438| 226,868| 366| 98| 112| 185| 603| 2,141| 5,193| 11,872| 35,409| 80,927| 89,953| 9 | | | | | | | | | | | | | 440..............| 71,318| 2| 4| 1| 14| 69| 383| 1,410| 3,941| 11,241| 23,861| 30,391| 1 | | | | | | | | | | | | | _________________________________________________________________________________________________________ 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, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | | AGE _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | 441-448..........| 55,210| 37| 12| 32| 111| 325| 805| 1,732| 4,279| 12,345| 20,132| 15,399| 1 | | | | | | | | | | | | | 466..............| 1,470| 78| 34| 6| 12| 15| 30| 53| 113| 260| 397| 472| - | | | | | | | | | | | | | 480-487..........| 214,259| 818| 334| 339| 616| 1,460| 3,839| 6,636| 12,506| 32,841| 70,480| 84,382| 8 | | | | | | | | | | | | | 480-486..........| 212,064| 808| 328| 321| 605| 1,456| 3,812| 6,600| 12,410| 32,635| 69,817| 83,264| 8 | | | | | | | | | | | | | 487..............| 2,195| 10| 6| 18| 11| 4| 27| 36| 96| 206| 663| 1,118| - | | | | | | | | | | | | | 490-496..........| 247,086| 59| 84| 200| 343| 523| 1,843| 6,662| 23,061| 67,485| 95,071| 51,744| 11 | | | | | | | | | | | | | 490-491..........| 6,468| 40| 26| 22| 38| 33| 119| 251| 570| 1,366| 2,108| 1,895| - | | | | | | | | | | | | | 492..............| 33,577| 5| -| -| 8| 27| 247| 1,087| 3,845| 10,631| 12,681| 5,045| 1 | | | | | | | | | | | | | 493..............| 12,255| 9| 52| 158| 264| 385| 804| 1,246| 1,532| 2,322| 3,157| 2,326| - | | | | | | | | | | | | | 494-496..........| 195,645| 6| 8| 22| 38| 85| 694| 4,139| 17,236| 53,401| 77,405| 42,601| 10 | | | | | | | | | | | | | 531-533..........| 12,265| 12| 5| 7| 22| 64| 233| 591| 1,037| 2,287| 4,155| 3,852| - | | | | | | | | | | | | | 540-543..........| 798| 9| 6| 17| 16| 16| 51| 49| 92| 161| 229| 151| 1 | | | | | | | | | | | | | 550-553, 560.....| 18,577| 176| 36| 37| 55| 110| 320| 711| 1,380| 3,153| 6,030| 6,569| - | | | | | | | | | | | | | 571..............| 41,113| 42| 14| 14| 83| 799| 5,168| 8,849| 8,290| 9,521| 6,640| 1,684| 9 | | | | | | | | | | | | | 574-575..........| 6,081| 17| 8| 4| 15| 58| 129| 262| 463| 1,112| 2,054| 1,959| - | | | | | | | | | | | | | 580-589..........| 133,180| 792| 82| 137| 314| 1,091| 3,364| 6,622| 11,940| 28,240| 44,543| 36,051| 4 | | | | | | | | | | | | | _________________________________________________________________________________________________________ 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, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | | AGE _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 580-581........| 1,235| 19| 4| 5| 8| 11| 46| 74| 105| 242| 433| 288| - | | | | | | | | | | | | | 582-583, 587...| 6,199| 7| 5| 7| 18| 74| 149| 213| 396| 1,052| 2,125| 2,153| - | | | | | | | | | | | | | 584-586, 588- | | | | | | | | | | | | | 589............| 126,987| 768| 74| 128| 298| 1,028| 3,221| 6,396| 11,533| 27,174| 42,405| 33,958| 4 | | | | | | | | | | | | | 590..............| 1,743| 11| 2| 3| 8| 25| 75| 111| 138| 271| 498| 601| - | | | | | | | | | | | | | 600..............| 2,573| -| -| -| -| -| 2| 11| 89| 406| 1,053| 1,011| 1 | | | | | | | | | | | | | 630-676..........| 333| ...| ...| -| 84| 161| 86| 2| ...| ...| ...| ...| - | | | | | | | | | | | | | 630-638........| 40| ...| ...| -| 10| 21| 9| -| ...| ...| ...| ...| - | | | | | | | | | | | | | 640-676........| 297| ...| ...| -| 74| 143| 78| 2| ...| ...| ...| ...| - | | | | | | | | | | | | | 740-759..........| 17,420| 7,153| 744| 527| 615| 667| 875| 999| 1,097| 1,403| 1,979| 1,358| 3 | | | | | | | | | | | | | 760-779..........| 18,061| 17,783| 148| 54| 19| 18| 13| 3| 5| 6| 7| 4| 1 | | | | | | | | | | | | | 767-769........| 3,248| 3,179| 37| 17| 5| 1| 1| 2| 2| 2| 2| -| - | | | | | | | | | | | | | 760-766, 770- | | | | | | | | | | | | | 779............| 17,570| 17,347| 119| 41| 16| 17| 12| 1| 3| 4| 5| 4| 1 | | | | | | | | | | | | | 780-799..........| 414,727| 6,061| 1,179| 1,407| 2,981| 5,658| 13,192| 21,879| 37,897| 81,813|126,161|116,385| 114 | | | | | | | | | | | | | RESIDUAL 2/......| 706,456| 3,567| 1,518| 1,993| 4,540| 9,466| 25,333| 41,672| 60,643|122,250|213,187|222,247| 40 | | | | | | | | | | | | | E800-E949........| 164,469| 1,248| 2,243| 3,625| 13,989| 13,104| 17,759| 15,082| 13,429| 21,455| 32,833| 29,588| 114 | | | | | | | | | | | | | _________________________________________________________________________________________________________ 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, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | | AGE _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | E810-E825......| 44,505| 170| 762| 1,875| 10,082| 7,170| 7,037| 5,118| 3,566| 3,597| 3,702| 1,396| 30 | | | | | | | | | | | | | E800-E807, | | | | | | | | | | | | | E826-E949......| 120,333| 1,079| 1,483| 1,757| 3,968| 5,990| 10,795| 10,004| 9,900| 17,891| 29,176| 28,206| 84 | | | | | | | | | | | | | E950-E959........| 30,840| ...| ...| 324| 4,145| 5,390| 6,869| 5,172| 2,993| 2,640| 2,407| 883| 17 | | | | | | | | | | | | | E960-E978........| 18,476| 347| 405| 463| 5,518| 4,592| 3,596| 1,771| 788| 488| 335| 116| 57 | | | | | | | | | | | | | E980-E999........| 4,031| 87| 48| 68| 352| 758| 1,339| 767| 237| 140| 131| 79| 25 | | | | | | | | | | | | | N800-N999........| 201,315| 1,561| 2,609| 4,370| 23,650| 23,362| 28,716| 21,720| 15,925| 21,636| 30,962| 26,603| 201 | | | | | | | | | | | | | N800-N848......| 29,804| 88| 184| 355| 1,822| 1,442| 1,602| 1,358| 1,319| 2,590| 7,219| 11,814| 11 | | | | | | | | | | | | | N850-N854......| 34,831| 329| 710| 1,342| 6,141| 4,518| 4,727| 3,619| 2,603| 3,107| 4,532| 3,165| 38 | | | | | | | | | | | | | N860-N869......| 16,799| 85| 191| 423| 3,219| 2,584| 2,709| 2,048| 1,474| 1,556| 1,693| 809| 8 | | | | | | | | | | | | | N870-N897......| 33,762| 14| 106| 583| 7,925| 6,944| 6,345| 4,149| 2,573| 2,268| 2,089| 730| 36 | | | | | | | | | | | | | N900-N904......| 3,169| 1| 16| 36| 576| 519| 534| 399| 300| 278| 315| 195| - | | | | | | | | | | | | | N905-N909......| 3,038| 9| 14| 35| 69| 144| 302| 310| 296| 457| 672| 729| 1 | | | | | | | | | | | | | N910-N929......| 1,383| 16| 33| 32| 128| 119| 190| 170| 131| 157| 215| 191| 1 | | | | | | | | | | | | | N930-N939......| 15,097| 149| 148| 134| 211| 303| 602| 808| 1,107| 2,224| 4,661| 4,749| 1 | | | | | | | | | | | | | N940-N949......| 2,928| 34| 136| 147| 302| 303| 407| 357| 288| 360| 382| 209| 3 | | | | | | | | | | | | | N950-N957......| 1,961| 6| 31| 52| 251| 219| 276| 219| 166| 264| 310| 165| 2 | | | | | | | | | | | | | _________________________________________________________________________________________________________ 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, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | | AGE _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | N958-N959......| 34,812| 151| 432| 1,008| 5,873| 5,067| 5,322| 4,047| 2,809| 3,089| 3,941| 3,035| 38 | | | | | | | | | | | | | N960-N995......| 41,910| 718| 1,076| 1,255| 4,365| 7,104| 11,276| 7,121| 2,944| 2,309| 2,311| 1,330| 101 | | | | | | | | | | | | | N996-N999......| 25,739| 292| 201| 213| 317| 473| 1,090| 2,032| 3,296| 6,562| 7,580| 3,681| 2 | | | | | | | | | | | | | | | | | | | | | | | | | | _________________________________________________________________________________________________________ | | | | | | | | | | | | | *042-*044 3/.....| 16,972| 20| 35| 66| 231| 3,378| 7,099| 4,203| 1,352| 461| 111| 13| 3 | | | | | | | | | | | | | 331.0 4/.........| 42,957| -| 1| -| -| -| 13| 57| 407| 3,414| 16,190| 22,874| 1 | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ 1/ INCLUDES *042-*044 (HIV INFECTION) SHOWN SEPARATELY BELOW. 2/ INCLUDES 331.0 (ALZHEIMERS DISEASE) SHOWN SEPARATELY BELOW. 3/ INCLUDED IN REM. 001-139. 4/ INCLUDED IN RESIDUAL. - QUANTITY = 0 - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 3 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) ___________________________________________________________________________________________________________________________ || AGE |_________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | ALL CAUSES.......|2,337,256| 28,371| 5,251| 7,791| 30,627| 42,516| 88,866|146,479|233,724|458,982|681,663|612,575| 411 | | | | | | | | | | | | | 004, 006.........| 8| -| -| 1| -| -| 2| -| -| -| 1| 4| - | | | | | | | | | | | | | 007-009..........| 1,059| 229| 19| 1| 4| 3| 13| 22| 46| 127| 293| 302| - | | | | | | | | | | | | | 010-018..........| 1,112| -| 3| 1| 11| 38| 108| 114| 151| 229| 280| 177| - | | | | | | | | | | | | | 010-012........| 815| -| -| -| 7| 25| 64| 84| 103| 169| 218| 145| - | | | | | | | | | | | | | 013-018........| 297| -| 3| 1| 4| 13| 44| 30| 48| 60| 62| 32| - | | | | | | | | | | | | | 033..............| 5| 4| 1| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 034-035..........| 8| -| 1| 2| -| 1| -| -| 1| 2| 1| -| - | | | | | | | | | | | | | 036..............| 234| 23| 33| 32| 50| 22| 17| 23| 5| 10| 9| 10| - | | | | | | | | | | | | | 038..............| 23,731| 216| 89| 56| 104| 257| 671| 1,231| 2,093| 4,474| 7,431| 7,107| 2 | | | | | | | | | | | | | 045..............| -| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 055..............| -| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 070..............| 4,796| 2| 2| 3| 26| 120| 903| 1,333| 740| 854| 660| 153| - | | | | | | | | | | | | | 090-097..........| 45| 2| -| -| -| 2| 6| 3| 4| 7| 10| 11| - | | | | | | | | | | | | | REM. 001-139 1/..| 20,254| 272| 109| 138| 309| 3,208| 6,389| 3,929| 1,941| 1,673| 1,454| 829| 3 | | | | | | | | | | | | | 140-208..........| 541,532| 78| 365| 1,013| 1,699| 4,385| 17,022| 45,747| 87,024|154,753|158,517| 70,916| 13 |__________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE - 2 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 3 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) ___________________________________________________________________________________________________________________________ || AGE |_________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 140-149........| 7,965| -| 1| 4| 23| 55| 306| 1,038| 1,749| 2,145| 1,766| 878| - | | | | | | | | | | | | | 150-159........| 128,683| 5| 17| 24| 124| 650| 3,110| 10,341| 19,427| 35,258| 39,144| 20,579| 4 | | | | | | | | | | | | | 160-165........| 159,736| 4| 3| 10| 46| 243| 2,897| 12,086| 30,892| 56,193| 45,232| 12,128| 2 | | | | | | | | | | | | | 174-175........| 42,086| -| -| -| 5| 509| 3,024| 6,375| 7,434| 9,539| 9,571| 5,628| 1 | | | | | | | | | | | | | 179-187........| 58,367| -| -| 4| 81| 495| 1,600| 3,381| 6,340| 14,190| 20,618| 11,657| 1 | | | | | | | | | | | | | 188-189........| 23,768| 3| 21| 34| 25| 75| 478| 1,667| 3,358| 6,303| 7,646| 4,158| - | | | | | | | | | | | | | 170-173, 190- | | | | | | | | | | | | | 199............| 65,389| 42| 191| 555| 699| 1,251| 3,387| 6,787| 10,592| 16,727| 17,002| 8,153| 3 | | | | | | | | | | | | | 204-208........| 20,324| 19| 116| 328| 447| 495| 929| 1,355| 2,326| 4,953| 6,255| 3,100| 1 | | | | | | | | | | | | | 200-203........| 35,214| 5| 16| 54| 249| 612| 1,291| 2,717| 4,906| 9,445| 11,283| 4,635| 1 | | | | | | | | | | | | | 210-239..........| 7,933| 60| 53| 84| 121| 175| 331| 517| 773| 1,520| 2,358| 1,941| - | | | | | | | | | | | | | 250..............| 64,751| 2| 6| 20| 137| 636| 1,885| 4,386| 8,705| 16,490| 20,529| 11,955| - | | | | | | | | | | | | | 260-269..........| 4,077| 11| 5| 3| 7| 12| 43| 56| 119| 344| 1,166| 2,311| - | | | | | | | | | | | | | 280-285..........| 4,544| 23| 31| 46| 93| 168| 220| 202| 235| 572| 1,261| 1,693| - | | | | | | | | | | | | | 320-322..........| 768| 107| 48| 34| 38| 37| 91| 92| 78| 96| 106| 41| - | | | | | | | | | | | | | 390-448..........| 940,565| 932| 277| 429| 1,308| 4,161| 17,076| 42,589| 78,804|170,010|300,064|324,850| 65 | | | | | | | | | | | | ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 3 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 3 NUMBER OF RESIDENT DEATHS TABULATE UNDERLYING CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ || AGE |_________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 390-398, 402, | | | | | | | | | | | | | 404-429......| 724,859| 609| 214| 326| 1,057| 3,207| 13,593| 35,056| 65,068|135,295|226,769|243,609| 56 | | | | | | | | | | | | | 390-398......| 4,792| 2| 1| 4| 33| 82| 195| 328| 549| 1,068| 1,518| 1,012| - | | | | | | | | | | | | | 402..........| 27,715| 1| 1| -| 24| 205| 1,003| 2,362| 3,334| 4,897| 7,273| 8,610| 5 | | | | | | | | | | | | | 404..........| 2,412| -| -| -| 4| 22| 55| 107| 165| 412| 833| 814| - | | | | | | | | | | | | | 410-414......| 459,841| 19| 7| 23| 111| 936| 6,535| 20,165| 40,968| 89,625|149,668|151,765| 19 | | | | | | | | | | | | | 410........| 203,551| 12| 6| 13| 57| 488| 3,489| 11,196| 22,227| 43,730| 66,288| 56,038| 7 | | | | | | | | | | | | | 411........| 2,907| 1| -| -| 5| 13| 100| 263| 404| 569| 771| 781| - | | | | | | | | | | | | | 413........| 650| -| -| -| -| 2| 9| 23| 43| 86| 209| 278| - | | | | | | | | | | | | | 412, 414...| 252,733| 6| 1| 10| 49| 433| 2,937| 8,683| 18,294| 45,240| 82,400| 94,668| 12 | | | | | | | | | | | | | 424..........| 18,520| 19| 5| 8| 38| 96| 325| 552| 882| 2,447| 6,056| 8,090| 2 | | | | | | | | | | | | | 415-423, | | | | | | | | | | | | | 425-429........| 211,579| 568| 200| 291| 847| 1,866| 5,480| 11,542| 19,170| 36,846| 61,421| 73,318| 30 | | | | | | | | | | | | | 401, 403.......| 14,308| 12| -| 4| 7| 55| 238| 593| 1,126| 2,495| 4,575| 5,203| - | | | | | | | | | | | | | 430-438........| 158,448| 296| 57| 82| 178| 670| 2,650| 5,709| 9,653| 23,912| 54,428| 60,804| 9 | | | | | | | | | | | | | 431-432......| 26,230| 37| 15| 28| 68| 248| 1,056| 2,287| 3,042| 5,585| 8,924| 4,936| 4 | | | | | | | | | | | | | 434.0, 434.9.| 10,958| 25| 1| 10| 12| 32| 135| 293| 598| 1,554| 3,716| 4,582| - | | | | | | | | | | | | | _______________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE - 4 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 3 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ || AGE |_________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 434.1........| 570| -| -| -| 1| 1| 10| 17| 38| 105| 227| 171| - | | | | | | | | | | | | | 430, 433, | | | | | | | | | | | | | 435-438........| 120,690| 234| 41| 44| 97| 389| 1,449| 3,112| 5,975| 16,668| 41,561| 51,115| 5 | | | | | | | | | | | | | 440............| 15,279| 1| 1| -| 2| 10| 41| 172| 560| 1,687| 4,407| 8,398| - | | | | | | | | | | | | | 441-448........| 27,671| 14| 5| 17| 64| 219| 554| 1,059| 2,397| 6,621| 9,885| 6,836| - | | | | | | | | | | | | | 466..............| 452| 44| 18| 2| 6| 6| 9| 15| 27| 57| 110| 158| - | | | | | | | | | | | | | 480-487..........| 91,871| 441| 146| 121| 215| 531| 1,400| 2,167| 3,856| 11,005| 28,857| 43,127| 5 | | | | | | | | | | | | | 480-486........| 90,147| 435| 143| 107| 205| 530| 1,383| 2,146| 3,795| 10,853| 28,344| 42,201| 5 | | | | | | | | | | | | | 487............| 1,724| 6| 3| 14| 10| 1| 17| 21| 61| 152| 513| 926| - | | | | | | | | | | | | | 490-496..........| 112,584| 39| 49| 152| 239| 328| 884| 2,828| 10,162| 31,102| 43,718| 23,076| 7 | | | | | | | | | | | | | 490-491........| 3,032| 27| 12| 11| 10| 13| 41| 101| 279| 676| 1,048| 814| - | | | | | | | | | | | | | 492............| 17,555| 1| -| -| 4| 12| 82| 476| 2,000| 5,835| 6,717| 2,428| - | | | | | | | | | | | | | 493............| 5,438| 7| 33| 131| 214| 277| 487| 647| 673| 972| 1,190| 807| - | | | | | | | | | | | | | 494-496........| 86,559| 4| 4| 10| 11| 26| 274| 1,604| 7,210| 23,619| 34,763| 19,027| 7 | | | | | | | | | | | | | 531-533..........| 4,695| 4| 2| 3| 8| 35| 109| 256| 417| 845| 1,496| 1,520| - | | | | | | | | | | | | | 540-543..........| 439| 9| 5| 15| 12| 11| 29| 29| 53| 76| 121| 79| - | | | | | | | | | | | | | 550-553, 560.....| 6,635| 69| 20| 19| 24| 33| 95| 210| 341| 874| 2,182| 2,768| - | | | | | | | | | | | | | _________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE - 5 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 3 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ || AGE |_________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 571..............| 25,192| 16| 1| 4| 22| 506| 3,370| 5,744| 5,279| 5,655| 3,703| 887| 5 | | | | | | | | | | | | | 574-575..........| 2,822| 2| 5| 1| 8| 29| 56| 107| 179| 496| 954| 985| - | | | | | | | | | | | | | 580-589..........| 26,182| 138| 12| 20| 43| 149| 436| 932| 1,812| 4,778| 9,058| 8,804| - | | | | | | | | | | | | | 580-581.........| 325| 11| 2| 4| 1| 3| 7| 17| 23| 59| 109| 89| - | | | | | | | | | | | | | 582-583, 587...| 1,715| 1| 1| 3| 8| 22| 47| 67| 121| 295| 573| 577| - | | | | | | | | | | | | | 584-586, 588- | | | | | | | | | | | | | 589............| 24,142| 126| 9| 13| 34| 124| 382| 848| 1,668| 4,424| 8,376| 8,138| - | | | | | | | | | | | | | 590..............| 828| 5| -| -| 2| 7| 31| 43| 58| 120| 240| 322| - | | | | | | | | | | | | | 600..............| 410| -| -| -| -| -| -| 1| 13| 26| 163| 206| 1 | | | | | | | | | | | | | 630-676..........| 281| ...| ...| -| 67| 140| 73| 1| ...| ...| ...| ...| - | | | | | | | | | | | | | 630-638........| 32| ...| ...| -| 9| 15| 8| -| ...| ...| ...| ...| - | | | | | | | | | | | | | 640-676........| 249| ...| ...| -| 58| 125| 65| 1| ...| ...| ...| ...| - | | | | | | | | | | | | | 740-759..........| 11,934| 6,212| 564| 371| 450| 452| 545| 525| 519| 651| 998| 646| 1 | | | | | | | | | | | | | 760-779..........| 13,428| 13,294| 75| 26| 6| 8| 8| 2| 4| 1| 1| 2| 1 | | | | | | | | | | | | | 767-769........| 1,997| 1,950| 27| 11| 3| -| 1| 2| 2| 1| -| -| - | | | | | | | | | | | | | 760-766, 770- | | | | | | | | | | | | | 779............| 11,431| 11,344| 48| 15| 3| 8| 7| -| 2| -| 1| 2| 1 | | | | | | | | | | | | | __________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 6 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 3 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ || AGE |_________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | 780-799..........| 25,992| 3,658| 219| 156| 558| 1,058| 1,966| 1,935| 1,734| 2,902| 4,619| 7,099| 88 | | | | | | | | | | | | | RESIDUAL 2/......| 247,644| 1,328| 716| 934| 1,728| 3,289| 8,261| 12,906| 17,268| 37,169| 75,825| 88,208| 12 | | | | | | | | | | | | | E800-E949........| 97,835| 754| 1,935| 3,254| 13,349| 12,045| 15,127| 10,946| 7,340| 8,892| 12,711| 11,372| 110 | | | | | | | | | | | | | E810-E825......| 43,501| 162| 759| 1,868| 10,026| 7,132| 6,963| 4,996| 3,420| 3,410| 3,457| 1,278| 30 | | | | | | | | | | | | | E800-E807, | | | | | | | | | | | | | E826-E949......| 54,334| 592| 1,176| 1,386| 3,323| 4,913| 8,164| 5,950| 3,920| 5,482| 9,254| 10,094| 80 | | | | | | | | | | | | | E950-E959........| 30,575| ...| ...| 324| 4,135| 5,365| 6,837| 5,131| 2,963| 2,597| 2,355| 851| 17 | | | | | | | | | | | | | E960-E978........| 18,272| 322| 399| 460| 5,506| 4,565| 3,567| 1,744| 766| 468| 318| 101| 56 | | | | | | | | | | | | | E980-E999........| 3,763| 75| 43| 66| 342| 734| 1,286| 713| 214| 107| 94| 64| 25 | | | | | | | | | | | | | | | | | | | | | | | | | | _______________________________________________________________________________________________________ | | | | | | | | | | | | | *042-*044 3/.....| 13,426| 14| 32| 54| 194| 2,912| 5,746| 3,120| 979| 301| 64| 7| 3 | | | | | | | | | | | | | 331.0 4/.........| 22,725| -| 1| -| -| -| 9| 39| 259| 1,907| 8,367| 12,142| 1 | | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ 1/ INCLUDES *042-*044 (HIV INFECTION) SHOWN SEPARATELY BELOW. 2/ INCLUDES 331.0 (ALZHEIMERS DISEASE) SHOWN SEPARATELY BELOW. 3/ INCLUDED IN REM. 001-139. 4/ INCLUDED IN RESIDUAL. - - QUANTITY = 0 - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 4 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) ___________________________________________________________________________________________________________________________ || AGE | CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ________________________________________________________________________________________________________________________ __ | | | | | | | | | | | | | 004, 006.........| 18| -| 1| 1| 1| 1| 3| 1| -| 2| 1| 7| - | | | | | | | | | | | | | 007-009..........| 1,922| 298| 22| 5| 8| 17| 53| 55| 86| 258| 573| 547| - | | | | | | | | | | | | | 010-018..........| 2,677| 1| 4| 3| 26| 91| 297| 309| 351| 549| 669| 377| - | | | | | | | | | | | | | 010-012........| 1,818| -| 1| -| 12| 54| 200| 203| 215| 360| 479| 294| - | | | | | | | | | | | | | 013-018........| 886| 1| 3| 3| 15| 39| 100| 107| 141| 196| 197| 84| - | | | | | | | | | | | | | 033..............| 8| 7| 1| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 034-035..........| 16| -| 1| 2| -| 1| 1| 2| 1| 5| 3| -| - | | | | | | | | | | | | | 036..............| 256| 25| 35| 32| 52| 26| 22| 24| 7| 13| 9| 11| - | | | | | | | | | | | | | 038..............| 116,422| 717| 274| 281| 573| 1,579| 4,436| 7,591| 11,859| 23,685| 35,464| 29,954| 9 | | | | | | | | | | | | | 045..............| -| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 055..............| -| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | | 070..............| 8,733| 4| 4| 5| 44| 245| 1,725| 2,527| 1,403| 1,476| 1,047| 253| - | | | | | | | | | | | | | 090-097..........| 197| 4| -| 1| 2| 10| 17| 14| 24| 28| 53| 44| - | | | | | | | | | | | | | REM. 001-139 1/..| 30,976| 413| 165| 236| 441| 3,781| 7,978| 5,572| 3,207| 3,397| 3,507| 2,276| 3 | | | | | | | | | | | | | 140-208..........| 608,536| 93| 389| 1,071| 1,789| 4,838| 18,170| 47,926| 92,268|169,475|182,419| 90,084| 14 | | | | | | | | | | | | | 140-149........| 9,674| -| 1| 6| 23| 58| 320| 1,144| 2,023| 2,664| 2,296| 1,139| - _________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 2 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 4 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMER'S DISEASE ___________________________________________________________________________________________________________________________ || AGE |_________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | 150-159........| 144,618| 6| 17| 26| 126| 672| 3,244| 10,830| 20,666| 38,640| 44,959| 25,428| 4 | | | | | | | | | | | | | 160-165........| 173,339| 4| 3| 10| 48| 255| 2,994| 12,591| 32,671| 60,988| 50,088| 13,685| 2 | | | | | | | | | | | | | 174-175........| 52,067| -| -| -| 6| 521| 3,119| 6,680| 8,137| 11,371| 12,926| 9,306| 1 | | | | | | | | | | | | | 179-187........| 75,693| -| -| 5| 86| 523| 1,672| 3,602| 7,103| 17,383| 27,776| 17,542| 1 | | | | | | | | | | | | | 188-189........| 29,369| 4| 21| 37| 26| 77| 508| 1,767| 3,770| 7,526| 9,845| 5,788| - | | | | | | | | | | | | | 170-173, 190- | | | | | | | | | | | | | 199............| 166,173| 51| 214| 613| 816| 1,909| 6,472| 15,398| 27,236| 46,222| 46,239| 20,998| 5 | | | | | | | | | | | | | 204-208........| 24,847| 26| 128| 365| 494| 536| 1,006| 1,517| 2,656| 5,915| 7,831| 4,372| 1 | | | | | | | | | | | | | 200-203........| 42,489| 5| 19| 63| 281| 823| 1,745| 3,232| 5,632| 11,187| 13,646| 5,855| 1 | | | | | | | | | | | | | 210-239..........| 14,349| 94| 71| 112| 168| 260| 509| 836| 1,311| 2,835| 4,465| 3,688| - | | | | | | | | | | | | | 250..............| 202,322| 2| 9| 31| 232| 1,105| 3,857| 11,212| 25,031| 52,107| 68,712| 40,021| 3 | | | | | | | | | | | | | 260-269..........| 33,743| 35| 14| 25| 69| 202| 584| 1,088| 2,039| 4,957| 10,647| 14,080| 3 | | | | | | | | | | | | | 280-285..........| 44,573| 77| 74| 113| 223| 521| 1,051| 1,617| 2,909| 6,891| 13,887| 17,209| 1 | | | | | | | | | | | | | 320-322..........| 2,030| 172| 80| 56| 61| 105| 242| 280| 279| 342| 320| 93| - | | | | | | | | | | | | | 390-448..........|1,381,480| 2,842| 943| 1,321| 3,077| 8,402| 28,579| 64,876|121,149|264,376|444,265|441,567| 83 | | | | | | | | | | | | | 390-398, | | | | | | | | | | | | | 402,404-429....|1,160,611| 2,281| 783| 1,100| 2,662| 7,196| 24,622| 56,344|105,447|225,241|368,828|366,034| 73 SEE FOOTNOTES AT END OF TABLE. - 3 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 4 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ || AGE || _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | _________________|__________________________________________________________________________________________________________ | | | | | | | | | | | | | 390-398......| 8,984| 12| 5| 10| 45| 114| 302| 534| 1,006| 2,051| 2,979| 1,926| - | | | | | | | | | | | | | 402..........| 37,193| 3| 1| 1| 32| 358| 1,650| 3,665| 4,960| 7,247| 9,987| 9,283| 6 | | | | | | | | | | | | | 404..........| 173| -| -| -| -| -| 2| 4| 6| 25| 55| 81| - | | | | | | | | | | | | | 410-414......| 593,466| 71| 25| 40| 195| 1,337| 8,190| 24,944| 53,028|120,463|197,884|187,266| 23 | | | | | | | | | | | | | 410........| 241,734| 43| 19| 24| 114| 679| 4,272| 13,376| 27,051| 53,432| 78,858| 63,858| 8 | | | | | | | | | | | | | 411........| 5,847| 5| -| 1| 10| 45| 217| 525| 740| 1,138| 1,579| 1,587| - | | | | | | | | | | | | | 413........| 3,451| -| -| -| 2| 4| 25| 79| 223| 570| 1,165| 1,383| - | | | | | | | | | | | | | 412, 414...| 445,456| 28| 7| 17| 92| 810| 5,315| 16,217| 35,993| 87,926|150,430|148,603| 18 | | | | | | | | | | | | | 424..........| 39,638| 31| 15| 17| 73| 201| 588| 1,090| 2,050| 6,033| 13,791| 15,747| 2 | | | | | | | | | | | | | 415-423, 425-| | | | | | | | | | | | | 429.....| 851,535| 2,206| 759| 1,070| 2,491| 6,049| 18,462| 39,803| 74,052|159,712|268,301|278,577| 53 | | | | | | | | | | | | | 401, 403.......| 193,954| 28| 5| 11| 62| 526| 2,624| 8,272| 17,780| 39,076| 65,405| 60,160| 5 | | | | | | | | | | | | | 430-438........| 277,911| 591| 172| 240| 401| 1,137| 3,990| 8,868| 17,071| 45,484| 97,853|102,091| 13 | | | | | | | | | | | | | 431-432......| 36,902| 143| 57| 100| 194| 515| 1,784| 3,452| 4,503| 7,905| 11,849| 6,395| 5 | | | | | | | | | | | | | 434.0, 434.9.| 18,422| 97| 25| 42| 46| 120| 341| 650| 1,213| 2,910| 6,161| 6,817| - | | | | | | | | | | | | | 434.1........| 1,892| 1| 1| 3| 5| 10| 38| 93| 138| 376| 672| 555| - _________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 4 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 4 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | AGE | CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | | | | | | | | | | | | | | 430,433, 435-| | | | | | | | | | | | | 438......| 233,184| 367| 98| 114| 188| 622| 2,218| 5,405| 12,388| 36,589| 83,403| 91,784| 8 | | | | | | | | | | | | | 440............| 77,625| 2| 4| 1| 15| 70| 398| 1,458| 4,190| 12,252| 26,027| 33,207| 1 | | | | | | | | | | | | | 441-448........| 66,209| 38| 12| 32| 115| 351| 982| 2,279| 5,678| 15,340| 24,056| 17,325| 1 | | | | | | | | | | | | | 466..............| 1,611| 85| 36| 8| 13| 17| 37| 62| 128| 282| 427| 516| - | | | | | | | | | | | | | 480-487..........| 218,401| 829| 341| 345| 648| 1,767| 4,525| 7,055| 12,817| 33,391| 71,446| 85,229| 8 | | | | | | | | | | | | | 480-486........| 217,035| 821| 336| 333| 639| 1,765| 4,507| 7,029| 12,753| 33,255| 71,045| 84,544| 8 | | | | | | | | | | | | | 487............| 2,195| 10| 6| 18| 11| 4| 27| 36| 96| 206| 663| 1,118| - | | | | | | | | | | | | | 490-496..........| 247,158| 61| 86| 200| 343| 524| 1,844| 6,667| 23,070| 67,494| 95,089| 51,769| 11 | | | | | | | | | | | | | 490-491........| 6,503| 42| 28| 22| 38| 33| 119| 251| 573| 1,367| 2,116| 1,914| - | | | | | | | | | | | | | 492............| 34,633| 5| -| -| 8| 27| 252| 1,123| 3,984| 10,947| 13,079| 5,207| 1 | | | | | | | | | | | | | 493............| 12,366| 9| 52| 159| 266| 386| 807| 1,257| 1,547| 2,352| 3,192| 2,339| - | | | | | | | | | | | | | 494-496........| 203,604| 6| 8| 23| 45| 95| 763| 4,405| 18,112| 55,684| 80,303| 44,150| 10 | | | | | | | | | | | | | 531-533..........| 12,267| 13| 5| 7| 22| 64| 233| 591| 1,037| 2,287| 4,156| 3,852| - | | | | | | | | | | | | | 540-543..........| 798| 9| 6| 17| 16| 16| 51| 49| 92| 161| 229| 151| 1 | | | | | | | | | | | | | 550-553, 560.....| 18,577| 176| 36| 37| 55| 110| 320| 711| 1,380| 3,153| 6,030| 6,569| - | | | | | | | | | | | | | 571..............| 40,947| 42| 14| 14| 82| 796| 5,139| 8,789| 8,254| 9,491| 6,635| 1,682| 9 _______________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 5 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 4 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | AGE | _________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | 574-575..........| 6,087| 17| 8| 4| 15| 58| 129| 262| 463| 1,114| 2,055| 1,962| - | | | | | | | | | | | | | 580-589..........| 153,519| 794| 82| 140| 331| 1,220| 3,770| 7,494| 13,829| 32,698| 51,634| 41,522| 5 | | | | | | | | | | | | | 580-581........| 1,388| 16| 4| 5| 8| 13| 64| 93| 151| 280| 468| 286| - | | | | | | | | | | | | | 582-583, 587...| 8,259| 7| 5| 7| 20| 87| 189| 333| 630| 1,597| 2,847| 2,537| - | | | | | | | | | | | | | 584-586, 588- | | | | | | | | | | | | | 589............| 145,688| 773| 74| 132| 314| 1,143| 3,584| 7,160| 13,194| 31,192| 48,964| 39,153| 5 | | | | | | | | | | | | | 590..............| 1,827| 11| 2| 3| 8| 27| 79| 119| 154| 291| 515| 618| - | | | | | | | | | | | | | 600..............| 2,575| -| -| -| -| -| 2| 11| 89| 408| 1,053| 1,011| 1 | | | | | | | | | | | | | 630-676..........| 333| ...| ...| -| 84| 161| 86| 2| ...| ...| ...| ...| - | | | | | | | | | | | | | 630-638........| 41| ...| ...| -| 10| 22| 9| -| ...| ...| ...| ...| - | | | | | | | | | | | | | 640-676........| 297| ...| ...| -| 74| 143| 78| 2| ...| ...| ...| ...| - | | | | | | | | | | | | | 740-759..........| 17,589| 7,156| 744| 528| 617| 671| 881| 1,006| 1,106| 1,434| 2,044| 1,399| 3 | | | | | | | | | | | | | 760-779..........| 18,092| 17,790| 157| 68| 20| 18| 13| 3| 5| 6| 7| 4| 1 | | | | | | | | | | | | | 767-769........| 3,264| 3,189| 38| 22| 5| 1| 1| 2| 2| 2| 2| -| - | | | | | | | | | | | | | 760-766, 770- | | | | | | | | | | | | | 779............| 17,593| 17,351| 128| 50| 17| 17| 12| 1| 3| 4| 5| 4| 1 | | | | | | | | | | | | | 780-799..........| 420,112| 6,063| 1,180| 1,409| 2,991| 5,714| 13,379| 22,101| 38,297| 82,651|127,732|118,481| 114 _________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 6 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 4 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ | AGE | CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | | | | | | | | | | | | | | RESIDUAL 2/......| 750,466| 3,677| 1,546| 2,024| 4,672| 10,099| 27,395| 44,710| 64,745|129,687|225,495|236,368| 48 | | | | | | | | | | | | | E800-E949........| 164,471| 1,248| 2,243| 3,625| 13,989| 13,104| 17,759| 15,082| 13,429| 21,455| 32,835| 29,588| 114 | | | | | | | | | | | | | E810-E825......| 44,505| 170| 762| 1,875| 10,082| 7,170| 7,037| 5,118| 3,566| 3,597| 3,702| 1,396| 30 | | | | | | | | | | | | | E800-E807, | | | | | | | | | | | | | E826-E949...| 120,335| 1,079| 1,483| 1,757| 3,968| 5,990| 10,795| 10,004| 9,900| 17,891| 29,178| 28,206| 84 | | | | | | | | | | | | | E950-E959........| 30,840| ...| ...| 324| 4,145| 5,390| 6,869| 5,172| 2,993| 2,640| 2,407| 883| 17 | | | | | | | | | | | | | E960-E978........| 18,476| 347| 405| 463| 5,518| 4,592| 3,596| 1,771| 788| 488| 335| 116| 57 | | | | | | | | | | | | | E980-E999........| 4,031| 87| 48| 68| 352| 758| 1,339| 767| 237| 140| 131| 79| 25 | | | | | | | | | | | | | N800-N999........| 201,315| 1,561| 2,609| 4,370| 23,650| 23,362| 28,716| 21,720| 15,925| 21,636| 30,962| 26,603| 201 | | | | | | | | | | | | | N800-N848......| 29,804| 88| 184| 355| 1,822| 1,442| 1,602| 1,358| 1,319| 2,590| 7,219| 11,814| 11 | | | | | | | | | | | | | N850-N854......| 34,831| 329| 710| 1,342| 6,141| 4,518| 4,727| 3,619| 2,603| 3,107| 4,532| 3,165| 38 | | | | | | | | | | | | | N860-N869......| 16,799| 85| 191| 423| 3,219| 2,584| 2,709| 2,048| 1,474| 1,556| 1,693| 809| 8 | | | | | | | | | | | | | N870-N897......| 33,762| 14| 106| 583| 7,925| 6,944| 6,345| 4,149| 2,573| 2,268| 2,089| 730| 36 | | | | | | | | | | | | | N900-N904......| 3,169| 1| 16| 36| 576| 519| 534| 399| 300| 278| 315| 195| - | | | | | | | | | | | | | N905-N909......| 3,038| 9| 14| 35| 69| 144| 302| 310| 296| 457| 672| 729| 1 | | | | | | | | | | | | | N910-N929......| 1,383| 16| 33| 32| 128| 119| 190| 170| 131| 157| 215| 191| 1 | | | | | | | | | | | | | N930-N939......| 15,097| 149| 148| 134| 211| 303| 602| 808| 1,107| 2,224| 4,661| 4,749| 1 _________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 7 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 4 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH AND AGE: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED ___________________________________________________________________________________________________________________________ || AGE | ________________________________________________________________________________________________________ CAUSE OF DEATH | | | | | | | | | | | | | |ALL AGES | <1 YR | 01-04 | 05-14 | 15-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65-74 | 75-84 | 85 & | N.S. | | | YR | YR | YR | YR | YR | YR | YR | YR | YR | OVER | _________________|_________|_______|_______|_______|_______|_______|_______|_______|_______|_______|_______|_______|_______ | | | | | | | | | | | | | | | | | | | | | | | | | | N940-N949......| 2,928| 34| 136| 147| 302| 303| 407| 357| 288| 360| 382| 209| 3 | | | | | | | | | | | | | N950-N957......| 1,961| 6| 31| 52| 251| 219| 276| 219| 166| 264| 310| 165| 2 | | | | | | | | | | | | | N958-N959......| 34,812| 151| 432| 1,008| 5,873| 5,067| 5,322| 4,047| 2,809| 3,089| 3,941| 3,035| 38 | | | | | | | | | | | | | N960-N995......| 41,910| 718| 1,076| 1,255| 4,365| 7,104| 11,276| 7,121| 2,944| 2,309| 2,311| 1,330| 101 | | | | | | | | | | | | | N996-N999......| 25,739| 292| 201| 213| 317| 473| 1,090| 2,032| 3,296| 6,562| 7,580| 3,681| 2 | | | | | | | | | | | | | | | | | | | | | | | | | | _________________________________________________________________________________________________________ | | | | | | | | | | | | | *042-*044 3/.....| 16,776| 19| 35| 66| 226| 3,366| 7,044| 4,166| 1,332| 425| 88| 6| 3 | | | | | | | | | | | | | 331.0 4/.........| 45,675| -| 1| -| -| -| 13| 59| 425| 3,614| 17,154| 24,408| 1 | | | | | | | | | | | | | | | _____________________________________________________________________________________________________________ 1/ INCLUDES *042-*044 (HIV INFECTION) SHOWN SEPARATELY BELOW. 2/ INCLUDES 331.0 (ALZHEIMERS DISEASE) SHOWN SEPARATELY BELOW. 3/ INCLUDED IN REM. 001-139. 4/ INCLUDED IN RESIDUAL. - QUANTITY = 0 - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 5 NUMBER OF RESIDENT DEATHS TABULATED BY RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) _____________________________________________________________________________________________________________________________ || RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | 004, 006.........| 18| 11| 7| 14| 8| 6| 4| 3| 1| 1| 1| - | | | | | | | | | | | | 007-009..........| 1,869| 824| 1,045| 1,589| 686| 903| 280| 138| 142| 250| 122| 128 | | | | | | | | | | | | 010-018..........| 2,585| 1,396| 1,189| 1,653| 847| 806| 932| 549| 383| 726| 426| 300 | | | | | | | | | | | | 010-012........| 1,714| 1,122| 592| 1,042| 663| 379| 672| 459| 213| 520| 363| 157 | | | | | | | | | | | | 013-018........| 890| 285| 605| 622| 190| 432| 268| 95| 173| 210| 66| 144 | | | | | | | | | | | | 033..............| 8| 5| 3| 6| 4| 2| 2| 1| 1| 1| -| 1 | | | | | | | | | | | | 034-035..........| 16| 8| 8| 12| 6| 6| 4| 2| 2| 4| 2| 2 | | | | | | | | | | | | 036..............| 256| 145| 111| 196| 107| 89| 60| 38| 22| 56| 36| 20 | | | | | | | | | | | | 038..............| 115,297| 52,994| 62,303| 92,507| 42,454| 50,053| 22,790| 10,540| 12,250| 20,439| 9,312| 11,127 | | | | | | | | | | | | 045..............| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | 055..............| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | 070..............| 8,733| 5,801| 2,932| 6,649| 4,415| 2,234| 2,084| 1,386| 698| 1,495| 1,004| 491 | | | | | | | | | | | | 090-097..........| 197| 108| 89| 89| 46| 43| 108| 62| 46| 102| 59| 43 | | | | | | | | | | | | REM. 001-139 2/..| 30,417| 19,661| 10,756| 18,813| 12,175| 6,638| 11,604| 7,486| 4,118| 11,038| 7,138| 3,900 | | | | | | | | | | | | 140-208..........| 607,568| 319,628| 287,940| 528,722| 277,358| 251,364| 78,846| 42,270| 36,576| 67,572| 36,180| 31,392 | | | | | | | | | | | | ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 2 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 5 NUMBER OF RESIDENT DEATHS TABULATED BY RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ || RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | 140-149..........| 9,672| 6,433| 3,239| 8,097| 5,276| 2,821| 1,575| 1,157| 418| 1,341| 984| 357 | | | | | | | | | | | | 150-159..........| 144,600| 77,133| 67,467| 123,093| 65,643| 57,450| 21,507| 11,490| 10,017| 17,647| 9,238| 8,409 | | | | | | | | | | | | 160-165..........| 173,333| 103,937| 69,396| 152,454| 90,496| 61,958| 20,879| 13,441| 7,438| 18,174| 11,739| 6,435 | | | | | | | | | | | | 174-175..........| 52,066| 475| 51,591| 45,066| 410| 44,656| 7,000| 65| 6,935| 6,187| 64| 6,123 | | | | | | | | | | | | 179-187..........| 75,692| 47,164| 28,528| 63,858| 39,304| 24,554| 11,834| 7,860| 3,974| 10,724| 7,305| 3,419 | | | | | | | | | | | | 188-189..........| 29,369| 19,249| 10,120| 26,707| 17,678| 9,029| 2,662| 1,571| 1,091| 2,256| 1,302| 954 | | | | | | | | | | | | 170-173, 190-199.| 165,160| 85,973| 79,187| 144,571| 75,208| 69,363| 20,589| 10,765| 9,824| 17,724| 9,274| 8,450 | | | | | | | | | | | | 204-208..........| 24,847| 13,776| 11,071| 22,396| 12,471| 9,925| 2,451| 1,305| 1,146| 2,036| 1,079| 957 | | | | | | | | | | | | 200-203..........| 41,849| 22,039| 19,810| 37,074| 19,606| 17,468| 4,775| 2,433| 2,342| 4,061| 2,043| 2,018 | | | | | | | | | | | | 210-239..........| 13,878| 6,142| 7,736| 12,169| 5,389| 6,780| 1,709| 753| 956| 1,475| 630| 845 | | | | | | | | | | | | 250..............| 202,322| 95,372| 106,950| 166,556| 80,131| 86,425| 35,766| 15,241| 20,525| 30,689| 12,650| 18,039 | | | | | | | | | | | | 260-269..........| 32,955| 13,076| 19,879| 28,597| 10,985| 17,612| 4,358| 2,091| 2,267| 3,774| 1,816| 1,958 | | | | | | | | | | | | 280-285..........| 44,521| 18,961| 25,560| 36,826| 15,499| 21,327| 7,695| 3,462| 4,233| 6,752| 2,996| 3,756 | | | | | | | | | | | | 320-322..........| 2,015| 1,092| 923| 1,500| 805| 695| 515| 287| 228| 453| 253| 200 | | | | | | | | | | | | 390-448..........|1,378,638| 653,372| 725,266|1,195,514| 565,549| 629,965| 183,124| 87,823| 95,301| 158,844| 74,674| 84,170 | | | | | | | | | | | | ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 3 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 5 NUMBER OF RESIDENT DEATHS TABULATED BY RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ || RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | 390-398, 402, | | | | | | | | | | | | 404-429......|1,160,353| 563,311| 597,042|1,008,826| 489,635| 519,191| 151,527| 73,676| 77,851| 131,188| 62,505| 68,683 | | | | | | | | | | | | 390-398..........| 8,982| 2,941| 6,041| 8,144| 2,657| 5,487| 838| 284| 554| 646| 212| 434 | | | | | | | | | | | | 402..............| 45,926| 20,734| 25,192| 33,934| 14,897| 19,037| 11,992| 5,837| 6,155| 11,125| 5,393| 5,732 | | | | | | | | | | | | 404..............| 3,202| 1,381| 1,821| 2,215| 960| 1,255| 987| 421| 566| 911| 384| 527 | | | | | | | | | | | | 410-414..........| 593,466| 303,658| 289,808| 531,304| 273,190| 258,114| 62,162| 30,468| 31,694| 53,000| 25,169| 27,831 | | | | | | | | | | | | 410..............| 241,734| 126,977| 114,757| 213,800| 113,142| 100,658| 27,934| 13,835| 14,099| 24,137| 11,605| 12,532 | | | | | | | | | | | | 411..............| 5,847| 3,158| 2,689| 5,004| 2,668| 2,336| 843| 490| 353| 749| 431| 318 | | | | | | | | | | | | 413..............| 3,451| 1,468| 1,983| 3,159| 1,334| 1,825| 292| 134| 158| 245| 111| 134 | | | | | | | | | | | | 412, 414.........| 445,456| 227,457| 217,999| 401,909| 206,264| 195,645| 43,547| 21,193| 22,354| 36,652| 17,208| 19,444 | | | | | | | | | | | | 424..............| 39,518| 16,924| 22,594| 36,574| 15,618| 20,956| 2,944| 1,306| 1,638| 2,373| 1,008| 1,365 | | | | | | | | | | | | 415-423, 425-429.| 842,894| 399,676| 443,218| 728,778| 344,663| 384,115| 114,116| 55,013| 59,103| 97,979| 46,303| 51,676 | | | | | | | | | | | | 401, 403.........| 178,033| 73,549| 104,484| 144,708| 59,111| 85,597| 33,325| 14,438| 18,887| 29,122| 12,313| 16,809 | | | | | | | | | | | | 430-438..........| 277,747| 113,215| 164,532| 238,463| 95,866| 142,597| 39,284| 17,349| 21,935| 33,409| 14,411| 18,998 | | | | | | | | | | | | 431-432..........| 36,159| 17,007| 19,152| 29,598| 13,691| 15,907| 6,561| 3,316| 3,245| 5,227| 2,636| 2,591 | | | | | | | | | | | | 434.0, 434.9.....| 18,249| 7,251| 10,998| 15,612| 6,074| 9,538| 2,637| 1,177| 1,460| 2,265| 994| 1,271 | | | | | | | | | | | | ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 4 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 5 NUMBER OF RESIDENT DEATHS TABULATED BY RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ || RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | 434.1............| 1,892| 736| 1,156| 1,710| 657| 1,053| 182| 79| 103| 144| 61| 83 | | | | | | | | | | | | 430, 433, 435-438| 226,868| 90,356| 136,512| 196,265| 77,293| 118,972| 30,603| 13,063| 17,540| 26,318| 10,941| 15,377 | | | | | | | | | | | | 440..............| 71,318| 29,915| 41,403| 64,321| 26,993| 37,328| 6,997| 2,922| 4,075| 6,046| 2,428| 3,618 | | | | | | | | | | | | 441-448..........| 55,210| 29,068| 26,142| 48,817| 25,964| 22,853| 6,393| 3,104| 3,289| 5,582| 2,640| 2,942 | | | | | | | | | | | | 466..............| 1,470| 682| 788| 1,335| 611| 724| 135| 71| 64| 111| 59| 52 | | | | | | | | | | | | 480-487..........| 214,259| 103,759| 110,500| 189,694| 90,692| 99,002| 24,565| 13,067| 11,498| 20,366| 10,713| 9,653 | | | | | | | | | | | | 480-486..........| 212,064| 102,981| 109,083| 187,588| 89,957| 97,631| 24,476| 13,024| 11,452| 20,309| 10,688| 9,621 | | | | | | | | | | | | 487..............| 2,195| 778| 1,417| 2,106| 735| 1,371| 89| 43| 46| 57| 25| 32 | | | | | | | | | | | | 490-496..........| 247,086| 132,384| 114,702| 227,445| 120,922| 106,523| 19,641| 11,462| 8,179| 16,744| 9,683| 7,061 | | | | | | | | | | | | 490-491..........| 6,468| 3,169| 3,299| 5,931| 2,887| 3,044| 537| 282| 255| 426| 219| 207 | | | | | | | | | | | | 492..............| 33,577| 19,059| 14,518| 31,256| 17,545| 13,711| 2,321| 1,514| 807| 1,974| 1,271| 703 | | | | | | | | | | | | 493..............| 12,255| 4,469| 7,786| 9,487| 3,386| 6,101| 2,768| 1,083| 1,685| 2,378| 907| 1,471 | | | | | | | | | | | | 494-496..........| 195,645| 106,073| 89,572| 181,534| 97,445| 84,089| 14,111| 8,628| 5,483| 12,048| 7,325| 4,723 | | | | | | | | | | | | 531-533..........| 12,265| 5,960| 6,305| 10,782| 5,173| 5,609| 1,483| 787| 696| 1,140| 576| 564 | | | | | | | | | | | | 540-543..........| 798| 446| 352| 656| 361| 295| 142| 85| 57| 115| 69| 46 | | | | | | | | | | | | ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 5 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 5 NUMBER OF RESIDENT DEATHS TABULATED BY RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ || RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | 550-553, 560.....| 18,577| 7,011| 11,566| 16,193| 5,985| 10,208| 2,384| 1,026| 1,358| 2,119| 894| 1,225 | | | | | | | | | | | | 571..............| 41,113| 26,714| 14,399| 35,177| 22,797| 12,380| 5,936| 3,917| 2,019| 4,667| 3,122| 1,545 | | | | | | | | | | | | 574-575..........| 6,081| 2,696| 3,385| 5,320| 2,385| 2,935| 761| 311| 450| 624| 247| 377 | | | | | | | | | | | | 580-589..........| 133,180| 69,436| 63,744| 110,563| 58,383| 52,180| 22,617| 11,053| 11,564| 19,642| 9,468| 10,174 | | | | | | | | | | | | 580-581........| 1,235| 621| 614| 1,033| 518| 515| 202| 103| 99| 177| 90| 87 | | | | | | | | | | | | 582-583, 587...| 6,199| 3,330| 2,869| 4,975| 2,670| 2,305| 1,224| 660| 564| 1,093| 590| 503 | | | | | | | | | | | | 584-586, 588- | | | | | | | | | | | | 589............| 126,987| 66,125| 60,862| 105,590| 55,726| 49,864| 21,397| 10,399| 10,998| 18,552| 8,880| 9,672 | | | | | | | | | | | | 590..............| 1,743| 552| 1,191| 1,470| 447| 1,023| 273| 105| 168| 225| 89| 136 | | | | | | | | | | | | 600..............| 2,573| 2,573| ...| 2,295| 2,295| ...| 278| 278| ...| 234| 234| ... | | | | | | | | | | | | 630-676..........| 333| ...| 333| 190| ...| 190| 143| ...| 143| 121| ...| 121 | | | | | | | | | | | | 630-638........| 40| ...| 40| 18| ...| 18| 22| ...| 22| 18| ...| 18 | | | | | | | | | | | | 640-676........| 297| ...| 297| 174| ...| 174| 123| ...| 123| 105| ...| 105 | | | | | | | | | | | | 740-759..........| 17,420| 9,036| 8,384| 14,343| 7,427| 6,916| 3,077| 1,609| 1,468| 2,546| 1,338| 1,208 | | | | | | | | | | | | 760-779..........| 18,061| 10,039| 8,022| 11,472| 6,359| 5,113| 6,589| 3,680| 2,909| 5,940| 3,340| 2,600 | | | | | | | | | | | | 767-769........| 3,248| 1,806| 1,442| 2,210| 1,231| 979| 1,038| 575| 463| 939| 521| 418 | | | | | | | | | | | | ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 6 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 5 NUMBER OF RESIDENT DEATHS TABULATED BY RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ || RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | 760-766, 770- | | | | | | | | | | | | 779............| 17,570| 9,785| 7,785| 11,124| 6,183| 4,941| 6,446| 3,602| 2,844| 5,810| 3,269| 2,541 | | | | | | | | | | | | 780-799..........| 414,727| 195,421| 219,306| 357,464| 167,005| 190,459| 57,263| 28,416| 28,847| 48,815| 23,945| 24,870 | | | | | | | | | | | | RESIDUAL 3/......| 706,456| 322,133| 384,323| 614,660| 277,432| 337,228| 91,796| 44,701| 47,095| 79,121| 37,914| 41,207 | | | | | | | | | | | | E800-E949........| 164,469| 96,277| 68,192| 140,742| 81,435| 59,307| 23,727| 14,842| 8,885| 19,705| 12,343| 7,362 | | | | | | | | | | | | E810-E825......| 44,505| 29,678| 14,827| 37,067| 24,592| 12,475| 7,438| 5,086| 2,352| 5,788| 4,065| 1,723 | | | | | | | | | | | | E800-E807, | | | | | | | | | | | | E826-E949......| 120,333| 66,864| 53,469| 103,982| 57,064| 46,918| 16,351| 9,800| 6,551| 13,969| 8,317| 5,652 | | | | | | | | | | | | E950-E959........| 30,840| 24,718| 6,122| 27,889| 22,339| 5,550| 2,951| 2,379| 572| 1,999| 1,673| 326 | | | | | | | | | | | | E960-E978........| 18,476| 14,160| 4,316| 9,375| 6,794| 2,581| 9,101| 7,366| 1,735| 8,484| 6,920| 1,564 | | | | | | | | | | | | E980-E999........| 4,031| 2,798| 1,233| 3,176| 2,149| 1,027| 855| 649| 206| 763| 584| 179 | | | | | | | | | | | | N800-N999........| 201,315| 129,359| 71,956| 166,556| 105,091| 61,465| 34,759| 24,268| 10,491| 29,400| 20,727| 8,673 | | | | | | | | | | | | N800-N848......| 29,804| 13,648| 16,156| 27,294| 12,164| 15,130| 2,510| 1,484| 1,026| 1,989| 1,211| 778 | | | | | | | | | | | | N850-N854......| 34,831| 23,686| 11,145| 29,422| 19,824| 9,598| 5,409| 3,862| 1,547| 4,284| 3,122| 1,162 | | | | | | | | | | | | N860-N869......| 16,799| 11,758| 5,041| 13,743| 9,470| 4,273| 3,056| 2,288| 768| 2,546| 1,960| 586 | | | | | | | | | | | | N870-N897......| 33,762| 28,157| 5,605| 24,341| 20,125| 4,216| 9,421| 8,032| 1,389| 8,572| 7,366| 1,206 | | | | | | | | | | | | ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 7 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 5 NUMBER OF RESIDENT DEATHS TABULATED BY RECORD AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION,AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ || RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | N900-N904......| 3,169| 2,222| 947| 2,407| 1,623| 784| 762| 599| 163| 664| 535| 129 | | | | | | | | | | | | N905-N909......| 3,038| 1,819| 1,219| 2,613| 1,548| 1,065| 425| 271| 154| 368| 234| 134 | | | | | | | | | | | | N910-N929......| 1,383| 910| 473| 1,223| 810| 413| 160| 100| 60| 125| 78| 47 | | | | | | | | | | | | N930-N939......| 15,097| 7,933| 7,164| 12,951| 6,737| 6,214| 2,146| 1,196| 950| 1,891| 1,037| 854 | | | | | | | | | | | | N940-N949......| 2,928| 1,936| 992| 2,227| 1,486| 741| 701| 450| 251| 612| 386| 226 | | | | | | | | | | | | N950-N957......| 1,961| 1,352| 609| 1,539| 1,047| 492| 422| 305| 117| 373| 274| 99 | | | | | | | | | | | | N958-N959......| 34,812| 22,741| 12,071| 28,858| 18,642| 10,216| 5,954| 4,099| 1,855| 4,713| 3,317| 1,396 | | | | | | | | | | | | N960-N995......| 41,910| 29,343| 12,567| 33,841| 23,749| 10,092| 8,069| 5,594| 2,475| 6,710| 4,635| 2,075 | | | | | | | | | | | | N996-N999......| 25,739| 13,650| 12,089| 22,058| 11,833| 10,225| 3,681| 1,817| 1,864| 3,166| 1,530| 1,636 | | | | | | | | | | | | | | | | | | | | | | | | ___________________________________________________________________________________________________________ | | | | | | | | | | | | *042-*044 4/.....| 16,972| 13,041| 3,931| 8,058| 6,815| 1,243| 8,914| 6,226| 2,688| 8,719| 6,072| 2,647 | | | | | | | | | | | | 331.0 5/.........| 42,957| 14,146| 28,811| 39,958| 13,146| 26,812| 2,999| 1,000| 1,999| 2,665| 868| 1,797 | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ 1/ INCLUDES BLACK 2/ INCLUDES *042-*044 (HIV INFECTION) SHOWN SEPARATELY BELOW. 3/ INCLUDES 331.0 (ALZHEIMERS DISEASE) SHOWN SEPARATELY BELOW. 4/ INCLUDED IN REM. 001-139. 5/ INCLUDED IN RESIDUAL. - QUANTITY = 0 - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 6 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH, RACE AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) __________________________________________________________________________________________________________________________________ | RACE ||_______________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | |_____________________________|_ _________________________|__ _______________________|___ ______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | | | | | | | | | | | | __________________|_________|_________|_________|_________|________|________|________|________|________|________|________|________ | | | | | | | | | | | | | | | | | | | | | | | | ALL CAUSES.......|2,337,256|1,157,260|1,179,996|2,015,984| 990,190|1,025794| 321,272| 167,070| 154,202| 278,440| 143,417| 135,023 | | | | | | | | | | | | 004, 006.........| 8| 3| 5| 6| 2| 4| 2| 1| 1| -| -| - | | | | | | | | | | | | 007-009..........| 1,059| 464| 595| 882| 379| 503| 177| 85| 92| 158| 77| 81 | | | | | | | | | | | | 010-018..........| 1,112| 658| 454| 667| 381| 286| 445| 277| 168| 346| 213| 133 | | | | | | | | | | | | 010-012........| 815| 528| 287| 495| 306| 189| 320| 222| 98| 251| 176| 75 | | | | | | | | | | | | 013-018........| 297| 130| 167| 172| 75| 97| 125| 55| 70| 95| 37| 58 | | | | | | | | | | | | 033..............| 5| 5| -| 4| 4| -| 1| 1| -| -| -| - | | | | | | | | | | | | 034-035..........| 8| 5| 3| 7| 4| 3| 1| 1| -| 1| 1| - | | | | | | | | | | | | 036..............| 234| 132| 102| 180| 98| 82| 54| 34| 20| 51| 32| 19 | | | | | | | | | | | | 038..............| 23,731| 10,225| 13,506| 18,855| 8,114| 10,741| 4,876| 2,111| 2,765| 4,487| 1,923| 2,564 | | | | | | | | | | | | 045..............| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | 055..............| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | 070..............| 4,796| 2,982| 1,814| 3,829| 2,382| 1,447| 967| 600| 367| 694| 429| 265 | | | | | | | | | | | | 090-097..........| 45| 25| 20| 21| 12| 9| 24| 13| 11| 21| 11| 10 | | | | | | | | | | | | REM. 001-139 2/..| 20,254| 13,700| 6,554| 11,362| 7,844| 3,518| 8,892| 5,856| 3,036| 8,566| 5,658| 2,908 | | | | | | | | | | | | |________________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 2 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 6 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH, RACE AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED __________________________________________________________________________________________________________________________________ | RACE || ______________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | |_____________________________| __________________________|_ ________________________|__________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | | | | | | | | | | | | ___________________|_________|_________|_________|_________|________|________|________|________|________|________|________|________ | | | | | | | | | | | | | | | | | | | | | | | | 140-208..........| 541,532| 282,065| 259,467| 470,139| 244,109| 226,030| 71,393| 37,956| 33,437| 61,193| 32,523| 28,670 | | | | | | | | | | | | 140-149........| 7,965| 5,281| 2,684| 6,612| 4,289| 2,323| 1,353| 992| 361| 1,155| 849| 306 | | | | | | | | | | | | 150-159........| 128,683| 68,556| 60,127| 109,130| 58,141| 50,989| 19,553| 10,415| 9,138| 16,050| 8,390| 7,660 | | | | | | | | | | | | 160-165........| 159,736| 95,261| 64,475| 140,268| 82,739| 57,529| 19,468| 12,522| 6,946| 16,948| 10,944| 6,004 | | | | | | | | | | | | 174-175........| 42,086| 349| 41,737| 36,060| 301| 35,759| 6,026| 48| 5,978| 5,329| 48| 5,281 | | | | | | | | | | | | 179-187........| 58,367| 32,800| 25,567| 48,920| 26,947| 21,973| 9,447| 5,853| 3,594| 8,580| 5,491| 3,089 | | | | | | | | | | | | 188-189........| 23,768| 15,316| 8,452| 21,515| 13,996| 7,519| 2,253| 1,320| 933| 1,913| 1,099| 814 | | | | | | | | | | | | 170-173, 190- | | | | | | | | | | | | 199............| 65,389| 34,965| 30,424| 58,269| 31,348| 26,921| 7,120| 3,617| 3,503| 5,996| 3,025| 2,971 | | | | | | | | | | | | 204-208........| 20,324| 11,201| 9,123| 18,214| 10,070| 8,144| 2,110| 1,131| 979| 1,752| 936| 816 | | | | | | | | | | | | 200-203........| 35,214| 18,336| 16,878| 31,151| 16,278| 14,873| 4,063| 2,058| 2,005| 3,470| 1,741| 1,729 | | | | | | | | | | | | 210-239..........| 7,933| 3,516| 4,417| 6,940| 3,079| 3,861| 993| 437| 556| 855| 366| 489 | | | | | | | | | | | | 250..............| 64,751| 29,584| 35,167| 51,706| 24,249| 27,457| 13,045| 5,335| 7,710| 11,378| 4,511| 6,867 | | | | | | | | | | | | 260-269..........| 4,077| 1,278| 2,799| 3,539| 1,067| 2,472| 538| 211| 327| 480| 188| 292 | | | | | | | | | | | | 280-285..........| 4,544| 1,873| 2,671| 3,503| 1,391| 2,112| 1,041| 482| 559| 953| 429| 524 | | | | | | | | | | | | 320-322..........| 768| 424| 344| 545| 297| 248| 223| 127| 96| 195| 114| 81 ________________________________________________________________________________________________________________ FOOTNOTES AT END OF TABLE. - 3 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 6 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH, RACE AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED __________________________________________________________________________________________________________________________________ | RACE ||_______________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | |_____________________________| __________________________|_ ________________________|__ _______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | | | | | | | | | | | | __________________|_________|_________|_________|_________|________|________|________|________|________|________|________|________ | | | | | | | | | | | | | | | | | | | | | | | | 390-448..........| 940,565| 441,278| 499,287| 821,836| 384,520| 437,316| 118,729| 56,758| 61,971| 103,458| 48,391| 55,067 | | | | | | | | | | | | 390-398, 402, | | | | | | | | | | | | 404-429......| 724,859| 353,897| 370,962| 635,549| 309,952| 325,597| 89,310| 43,945| 45,365| 78,294| 37,662| 40,632 | | | | | | | | | | | | 390-398......| 4,792| 1,422| 3,370| 4,334| 1,288| 3,046| 458| 134| 324| 356| 101| 255 | | | | | | | | | | | | 402..........| 27,715| 11,937| 15,778| 20,047| 8,223| 11,824| 7,668| 3,714| 3,954| 7,158| 3,463| 3,695 | | | | | | | | | | | | 404..........| 2,412| 996| 1,416| 1,648| 669| 979| 764| 327| 437| 700| 293| 407 | | | | | | | | | | | | 410-414......| 459,841| 233,374| 226,467| 412,351| 210,056| 202,295| 47,490| 23,318| 24,172| 40,597| 19,307| 21,290 | | | | | | | | | | | | 410........| 203,551| 106,995| 96,556| 181,298| 95,921| 85,377| 22,253| 11,074| 11,179| 19,198| 9,273| 9,925 | | | | | | | | | | | | 411........| 2,907| 1,563| 1,344| 2,448| 1,293| 1,155| 459| 270| 189| 407| 234| 173 | | | | | | | | | | | | 413........| 650| 273| 377| 579| 236| 343| 71| 37| 34| 61| 32| 29 | | | | | | | | | | | | 412, 414...| 252,733| 124,543| 128,190| 228,026| 112,606| 115,420| 24,707| 11,937| 12,770| 20,931| 9,768| 11,163 | | | | | | | | | | | | 424..........| 18,520| 7,326| 11,194| 17,120| 6,704| 10,416| 1,400| 622| 778| 1,149| 489| 660 | | | | | | | | | | | | 415-423, | | | | | | | | | | | | 425-429........| 211,579| 98,842| 112,737| 180,049| 83,012| 97,037| 31,530| 15,830| 15,700| 28,334| 14,009| 14,325 | | | | | | | | | | | | 401, 403.......| 14,308| 5,526| 8,782| 10,818| 4,105| 6,713| 3,490| 1,421| 2,069| 3,179| 1,276| 1,903 | | | | | | | | | | | | 430-438........| 158,448| 61,145| 97,303| 136,855| 51,766| 85,089| 21,593| 9,379| 12,214| 18,237| 7,765| 10,472 |___________________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 4 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 6 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH, RACE AND SEX: UNITED STATES, 1998 CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED _________________________________________________________________________________________________________________________________ | RACE ||______________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK |_____________________________| __________________________|_ ________________________|_ _______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | | | | | | | | | | | | ___________________|_________|_________|_________|_________|________|________|________|________|________|________|________|_______ | | | | | | | | | | | | | | | | | | | | | | | | 431-432......| 26,230| 12,044| 14,186| 21,553| 9,694| 11,859| 4,677| 2,350| 2,327| 3,694| 1,862| 1,832 | | | | | | | | | | | | 434.0, 434.9.| 10,958| 4,160| 6,798| 9,511| 3,544| 5,967| 1,447| 616| 831| 1,259| 528| 731 | | | | | | | | | | | | 434.1........| 570| 228| 342| 519| 206| 313| 51| 22| 29| 38| 16| 22 | | | | | | | | | | | | 430, 433, | | | | | | | | | | | | 435-438........| 120,690| 44,713| 75,977| 105,272| 38,322| 66,950| 15,418| 6,391| 9,027| 13,246| 5,359| 7,887 | | | | | | | | | | | | 440............| 15,279| 5,719| 9,560| 14,050| 5,213| 8,837| 1,229| 506| 723| 1,082| 436| 646 | | | | | | | | | | | | 441-448........| 27,671| 14,991| 12,680| 24,564| 13,484| 11,080| 3,107| 1,507| 1,600| 2,666| 1,252| 1,414 | | | | | | | | | | | | 466..............| 452| 194| 258| 400| 164| 236| 52| 30| 22| 46| 27| 19 | | | | | | | | | | | | 480-487..........| 91,871| 40,979| 50,892| 81,659| 35,795| 45,864| 10,212| 5,184| 5,028| 8,326| 4,178| 4,148 | | | | | | | | | | | | 480-486........| 90,147| 40,395| 49,752| 79,992| 35,235| 44,757| 10,155| 5,160| 4,995| 8,293| 4,165| 4,128 | | | | | | | | | | | | 487............| 1,724| 584| 1,140| 1,667| 560| 1,107| 57| 24| 33| 33| 13| 20 | | | | | | | | | | | | 490-496..........| 112,584| 57,018| 55,566| 104,061| 52,172| 51,889| 8,523| 4,846| 3,677| 7,205| 4,039| 3,166 | | | | | | | | | | | | 490-491........| 3,032| 1,482| 1,550| 2,817| 1,359| 1,458| 215| 123| 92| 165| 94| 71 | | | | | | | | | | | | 492............| 17,555| 9,333| 8,222| 16,511| 8,684| 7,827| 1,044| 649| 395| 890| 543| 347 | | | | | | | | | | | | 493............| 5,438| 2,000| 3,438| 3,947| 1,366| 2,581| 1,491| 634| 857| 1,290| 536| 754 | | | | | | | | | | | | 494-496........| 86,559| 44,203| 42,356| 80,786| 40,763| 40,023| 5,773| 3,440| 2,333| 4,860| 2,866| 1,994 |________________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE - 5 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 6 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH, RACE AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED __________________________________________________________________________________________________________________________________ | RACE ||_______________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | |_____________________________| __________________________|_ ________________________|__ _______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | | | | | | | | | | | | __________________|_________|_________|_________|_________|________|________|________|________|________|________|________|________ | | | | | | | | | | | | | | | | | | | | | | | | 531-533..........| 4,695| 2,235| 2,460| 4,162| 1,960| 2,202| 533| 275| 258| 411| 204| 207 | | | | | | | | | | | | 540-543..........| 439| 256| 183| 356| 201| 155| 83| 55| 28| 66| 46| 20 | | | | | | | | | | | | 550-553, 560.....| 6,635| 2,350| 4,285| 5,815| 2,005| 3,810| 820| 345| 475| 750| 310| 440 | | | | | | | | | | | | 571..............| 25,192| 16,343| 8,849| 21,771| 14,096| 7,675| 3,421| 2,247| 1,174| 2,697| 1,804| 893 | | | | | | | | | | | | 574-575..........| 2,822| 1,216| 1,606| 2,474| 1,074| 1,400| 348| 142| 206| 282| 109| 173 | | | | | | | | | | | | 580-589..........| 26,182| 12,561| 13,621| 21,369| 10,406| 10,963| 4,813| 2,155| 2,658| 4,329| 1,929| 2,400 | | | | | | | | | | | | 580-581.........| 325| 154| 171| 272| 133| 139| 53| 21| 32| 45| 19| 26 | | | | | | | | | | | | 582-583, 587...| 1,715| 831| 884| 1,369| 664| 705| 346| 167| 179| 310| 153| 157 | | | | | | | | | | | | 584-586, 588- | | | | | | | | | | | | 589............| 24,142| 11,576| 12,566| 19,728| 9,609| 10,119| 4,414| 1,967| 2,447| 3,974| 1,757| 2,217 | | | | | | | | | | | | 590..............| 828| 214| 614| 704| 173| 531| 124| 41| 83| 102| 33| 69 | | | | | | | | | | | | 600..............| 410| 410| ...| 356| 356| ...| 54| 54| ...| 45| 45| ... | | | | | | | | | | | | 630-676..........| 281| ...| 281| 158| ...| 158| 123| ...| 123| 104| ...| 104 | | | | | | | | | | | | 630-638........| 32| ...| 32| 15| ...| 15| 17| ...| 17| 14| ...| 14 | | | | | | | | | | | | 640-676........| 249| ...| 249| 143| ...| 143| 106| ...| 106| 90| ...| 90 | | | | | | | | | | | | 740-759..........| 11,934| 6,199| 5,735| 9,651| 5,001| 4,650| 2,283| 1,198| 1,085| 1,885| 994| 891 _________________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 6 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 6 NUMBER OF RESIDENT DEATHS TABULATED BY UNDERLYING CAUSE-OF-DEATH, RACE AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY HIV INFECTION AND ALZHEIMERS DISEASE) - CONTINUED _________________________________________________________________________________________________________________________________ | RACE ||______________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | |_____________________________| __________________________|_ ________________________|__ ______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | | | | | | | | | | | | __________________|_________|_________|_________|_________|________|________|________|________|________|________|________|_______ | | | | | | | | | | | | | | | | | | | | | | | | 760-779..........| 13,428| 7,496| 5,932| 8,129| 4,523| 3,606| 5,299| 2,973| 2,326| 4,841| 2,732| 2,109 | | | | | | | | | | | | 767-769........| 1,997| 1,131| 866| 1,323| 746| 577| 674| 385| 289| 615| 353| 262 | | | | | | | | | | | | 760-766, 770- | | | | | | | | | | | | 779............| 11,431| 6,365| 5,066| 6,806| 3,777| 3,029| 4,625| 2,588| 2,037| 4,226| 2,379| 1,847 | | | | | | | | | | | | 780-799..........| 25,992| 12,766| 13,226| 21,041| 10,045| 10,996| 4,951| 2,721| 2,230| 4,481| 2,451| 2,030 | | | | | | | | | | | | RESIDUAL 3/......| 247,644| 104,589| 143,055| 217,822| 91,004| 126,818| 29,822| 13,585| 16,237| 26,127| 11,780| 14,347 | | | | | | | | | | | | E800-E949........| 97,835| 63,042| 34,793| 82,178| 52,398| 29,780| 15,657| 10,644| 5,013| 12,801| 8,788| 4,013 | | | | | | | | | | | | E810-E825......| 43,501| 28,990| 14,511| 36,182| 23,985| 12,197| 7,319| 5,005| 2,314| 5,686| 3,996| 1,690 | | | | | | | | | | | | E800-E807, | | | | | | | | | | | | E826-E949......| 54,334| 34,052| 20,282| 45,996| 28,413| 17,583| 8,338| 5,639| 2,699| 7,115| 4,792| 2,323 | | | | | | | | | | | | E950-E959........| 30,575| 24,538| 6,037| 27,648| 22,174| 5,474| 2,927| 2,364| 563| 1,977| 1,659| 318 | | | | | | | | | | | | E960-E978........| 18,272| 14,023| 4,249| 9,241| 6,707| 2,534| 9,031| 7,316| 1,715| 8,420| 6,873| 1,547 | | | | | | | | | | | | E980-E999........| 3,763| 2,614| 1,149| 2,968| 2,004| 964| 795| 610| 185| 709| 550| 159 | | | | | | | | | | | | *042-*044 4/..... | 13,426| 10,291| 3,135| 6,106| 5,184| 922| 7,320| 5,107| 2,213| 7,180| 4,994| 2,186 | | | | | | | | | | | | 331.0 5/.........| 22,725| 7,054| 15,671| 21,366| 6,643| 14,723| 1,359| 411| 948| 1,209 352 857 _____________________________________________________________________________________________________________________________________ 1/ INCLUDES BLACK 2/ INCLUDES *042-*044 (HIV INFECTION) SHOWN SEPARATELY BELOW. 3/ INCLUDES 331.0 (ALZHEIMERS DISEASE) SHOWN SEPARATELY BELOW. 4/ INCLUDED IN REM. 001-139. 5/ INCLUDED IN RESIDUAL. - QUANTITY = 0 - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 7 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) | | RACE | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 004, 006.........| 18| 11| 7| 14| 8| 6| 4| 3| 1| 1| 1| - | | | | | | | | | | | | 007-009..........| 1,922| 867| 1,055| 1,622| 715| 907| 300| 152| 148| 269| 135| 134 | | | | | | | | | | | | 010-018..........| 2,677| 1,459| 1,218| 1,686| 873| 813| 991| 586| 405| 785| 463| 322 | | | | | | | | | | | | 010-012........| 1,818| 1,189| 629| 1,085| 691| 394| 733| 498| 235| 575| 397| 178 | | | | | | | | | | | | 013-018........| 886| 285| 601| 617| 190| 427| 269| 95| 174| 216| 70| 146 | | | | | | | | | | | | 033..............| 8| 5| 3| 6| 4| 2| 2| 1| 1| 1| -| 1 | | | | | | | | | | | | 034-035..........| 16| 8| 8| 12| 6| 6| 4| 2| 2| 4| 2| 2 | | | | | | | | | | | | 036..............| 256| 145| 111| 196| 107| 89| 60| 38| 22| 56| 36| 20 | | | | | | | | | | | | 038..............| 116,422| 53,752| 62,670| 93,047| 42,818| 50,229| 23,375| 10,934| 12,441| 21,003| 9,691| 11,312 | | | | | | | | | | | | 045..............| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | 055..............| -| -| -| -| -| -| -| -| -| -| -| - | | | | | | | | | | | | 070..............| 8,733| 5,801| 2,932| 6,649| 4,415| 2,234| 2,084| 1,386| 698| 1,495| 1,004| 491 | | | | | | | | | | | | 090-097..........| 197| 108| 89| 89| 46| 43| 108| 62| 46| 102| 59| 43 | | | | | | | | | | | | REM. 001-139 2/..| 30,976| 19,895| 11,081| 19,295| 12,381| 6,914| 11,681| 7,514| 4,167| 11,104| 7,162| 3,942 | | | | | | | | | | | | 140-208..........| 608,536| 320,477| 288,059| 529,356| 277,928| 251,428| 79,180| 42,549| 36,631| 67,899| 36,452| 31,447 ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 2 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 7 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ | | RACE | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | ___________________________ ___________________________ __________________________ ________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | | | | | | | | | | | | | | | | | | | | | | | | | 140-149........| 9,674| 6,434| 3,240| 8,099| 5,277| 2,822| 1,575| 1,157| 418| 1,341| 984| 357 | | | | | | | | | | | | 150-159........| 144,618| 77,143| 67,475| 123,109| 65,651| 57,458| 21,509| 11,492| 10,017| 17,649| 9,240| 8,409 | | | | | | | | | | | | 160-165........| 173,339| 103,942| 69,397| 152,460| 90,501| 61,959| 20,879| 13,441| 7,438| 18,174| 11,739| 6,435 | | | | | | | | | | | | 174-175........| 52,067| 475| 51,592| 45,067| 410| 44,657| 7,000| 65| 6,935| 6,187| 64| 6,123 | | | | | | | | | | | | 179-187........| 75,693| 47,164| 28,529| 63,859| 39,304| 24,555| 11,834| 7,860| 3,974| 10,724| 7,305| 3,419 | | | | | | | | | | | | 188-189........| 29,369| 19,249| 10,120| 26,707| 17,678| 9,029| 2,662| 1,571| 1,091| 2,256| 1,302| 954 | | | | | | | | | | | | 170-173, 190- | | | | | | | | | | | | 199............| 166,173| 86,657| 79,516| 145,408| 75,748| 69,660| 20,765| 10,909| 9,856| 17,892| 9,412| 8,480 | | | | | | | | | | | | 204-208........| 24,847| 13,776| 11,071| 22,396| 12,471| 9,925| 2,451| 1,305| 1,146| 2,036| 1,079| 957 | | | | | | | | | | | | 200-203........| 42,489| 22,570| 19,919| 37,487| 19,961| 17,526| 5,002| 2,609| 2,393| 4,282| 2,213| 2,069 | | | | | | | | | | | | 210-239..........| 14,349| 6,386| 7,963| 12,572| 5,604| 6,968| 1,777| 782| 995| 1,523| 651| 872 | | | | | | | | | | | | 250..............| 202,322| 95,372| 106,950| 166,556| 80,131| 86,425| 35,766| 15,241| 20,525| 30,689| 12,650| 18,039 | | | | | | | | | | | | 260-269..........| 33,743| 13,452| 20,291| 29,227| 11,266| 17,961| 4,516| 2,186| 2,330| 3,911| 1,898| 2,013 | | | | | | | | | | | | 280-285..........| 44,573| 18,988| 25,585| 36,861| 15,518| 21,343| 7,712| 3,470| 4,242| 6,769| 3,004| 3,765 | | | | | | | | | | | | 320-322..........| 2,030| 1,101| 929| 1,508| 809| 699| 522| 292| 230| 459| 258| 201 | | | | | | | | | | | | 390-448..........|1,381,480| 654,658| 726,822|1,197,816| 566,606| 631,210| 183,664| 88,052| 95,612| 159,322| 74,873| 84,449 ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 3 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 7 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ | | RACE | | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | 390-398, | | | | | | | | | | | | 402,404-429....|1,160,611| 563,432| 597,179|1,009,034| 489,729| 519,305| 151,577| 73,703| 77,874| 131,234| 62,530| 68,704 | | | | | | | | | | | | 390-398......| 8,984| 2,942| 6,042| 8,146| 2,658| 5,488| 838| 284| 554| 646| 212| 434 | | | | | | | | | | | | 402..........| 37,193| 17,786| 19,407| 26,734| 12,576| 14,158| 10,459| 5,210| 5,249| 9,707| 4,818| 4,889 | | | | | | | | | | | | 404..........| 173| 72| 101| 152| 69| 83| 21| 3| 18| 21| 3| 18 | | | | | | | | | | | | 410-414......| 593,466| 303,658| 289,808| 531,304| 273,190| 258,114| 62,162| 30,468| 31,694| 53,000| 25,169| 27,831 | | | | | | | | | | | | 410........| 241,734| 126,977| 114,757| 213,800| 113,142| 100,658| 27,934| 13,835| 14,099| 24,137| 11,605| 12,532 | | | | | | | | | | | | 411........| 5,847| 3,158| 2,689| 5,004| 2,668| 2,336| 843| 490| 353| 749| 431| 318 | | | | | | | | | | | | 413........| 3,451| 1,468| 1,983| 3,159| 1,334| 1,825| 292| 134| 158| 245| 111| 134 | | | | | | | | | | | | 412, 414...| 445,456| 227,457| 217,999| 401,909| 206,264| 195,645| 43,547| 21,193| 22,354| 36,652| 17,208| 19,444 | | | | | | | | | | | | 424..........| 39,638| 16,972| 22,666| 36,674| 15,659| 21,015| 2,964| 1,313| 1,651| 2,389| 1,014| 1,375 | | | | | | | | | | | | 415-423, 425-| | | | | | | | | | | | 429.....| 851,535| 402,876| 448,659| 735,787| 347,180| 388,607| 115,748| 55,696| 60,052| 99,513| 46,945| 52,568 | | | | | | | | | | | | 401, 403.......| 193,954| 79,443| 114,511| 157,010| 63,478| 93,532| 36,944| 15,965| 20,979| 32,434| 13,699| 18,735 | | | | | | | | | | | | 430-438........| 277,911| 113,267| 164,644| 238,625| 95,916| 142,709| 39,286| 17,351| 21,935| 33,408| 14,411| 18,997 | | | | | | | | | | | | 431-432......| 36,902| 17,268| 19,634| 30,229| 13,915| 16,314| 6,673| 3,353| 3,320| 5,312| 2,663| 2,649 ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 4 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 7 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ | | RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 434.0, 434.9.| 18,422| 7,312| 11,110| 15,768| 6,129| 9,639| 2,654| 1,183| 1,471| 2,275| 997| 1,278 | | | | | | | | | | | | 434.1........| 1,892| 736| 1,156| 1,710| 657| 1,053| 182| 79| 103| 144| 61| 83 | | | | | | | | | | | | 430,433, 435-| | | | | | | | | | | | 438......| 233,184| 93,007| 140,177| 201,709| 79,542| 122,167| 31,475| 13,465| 18,010| 27,029| 11,264| 15,765 | | | | | | | | | | | | 440............| 77,625| 32,637| 44,988| 70,117| 29,508| 40,609| 7,508| 3,129| 4,379| 6,474| 2,592| 3,882 | | | | | | | | | | | | 441-448........| 66,209| 34,775| 31,434| 57,772| 30,819| 26,953| 8,437| 3,956| 4,481| 7,388| 3,365| 4,023 | | | | | | | | | | | | 466..............| 1,611| 751| 860| 1,460| 670| 790| 151| 81| 70| 124| 67| 57 | | | | | | | | | | | | 480-487..........| 218,401| 106,127| 112,274| 192,750| 92,344| 100,406| 25,651| 13,783| 11,868| 21,368| 11,384| 9,984 | | | | | | | | | | | | 480-486........| 217,035| 105,644| 111,391| 191,443| 91,890| 99,553| 25,592| 13,754| 11,838| 21,329| 11,366| 9,963 | | | | | | | | | | | | 487............| 2,195| 778| 1,417| 2,106| 735| 1,371| 89| 43| 46| 57| 25| 32 | | | | | | | | | | | | 490-496..........| 247,158| 132,412| 114,746| 227,504| 120,944| 106,560| 19,654| 11,468| 8,186| 16,751| 9,687| 7,064 | | | | | | | | | | | | 490-491........| 6,503| 3,178| 3,325| 5,964| 2,895| 3,069| 539| 283| 256| 427| 220| 207 | | | | | | | | | | | | 492............| 34,633| 19,682| 14,951| 32,247| 18,128| 14,119| 2,386| 1,554| 832| 2,027| 1,304| 723 | | | | | | | | | | | | 493............| 12,366| 4,520| 7,846| 9,585| 3,432| 6,153| 2,781| 1,088| 1,693| 2,389| 912| 1,477 | | | | | | | | | | | | 494-496........| 203,604| 110,060| 93,544| 188,837| 101,090| 87,747| 14,767| 8,970| 5,797| 12,606| 7,609| 4,997 | | | | | | | | | | | | 531-533..........| 12,267| 5,962| 6,305| 10,783| 5,174| 5,609| 1,484| 788| 696| 1,141| 577| 564 ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 5 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 7 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ | | RACE ___________________________________________________________________________________________________________ | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 540-543..........| 798| 446| 352| 656| 361| 295| 142| 85| 57| 115| 69| 46 | | | | | | | | | | | | 550-553, 560.....| 18,577| 7,011| 11,566| 16,193| 5,985| 10,208| 2,384| 1,026| 1,358| 2,119| 894| 1,225 | | | | | | | | | | | | 571..............| 40,947| 26,593| 14,354| 35,047| 22,699| 12,348| 5,900| 3,894| 2,006| 4,640| 3,105| 1,535 | | | | | | | | | | | | 574-575..........| 6,087| 2,697| 3,390| 5,326| 2,386| 2,940| 761| 311| 450| 624| 247| 377 | | | | | | | | | | | | 580-589..........| 153,519| 78,542| 74,977| 125,585| 65,249| 60,336| 27,934| 13,293| 14,641| 24,365| 11,410| 12,955 | | | | | | | | | | | | 580-581........| 1,388| 680| 708| 1,147| 557| 590| 241| 123| 118| 208| 105| 103 | | | | | | | | | | | | 582-583, 587...| 8,259| 4,370| 3,889| 6,600| 3,497| 3,103| 1,659| 873| 786| 1,455| 765| 690 | | | | | | | | | | | | 584-586, 588- | | | | | | | | | | | | 589............| 145,688| 74,401| 71,287| 119,344| 61,944| 57,400| 26,344| 12,457| 13,887| 22,966| 10,675| 12,291 | | | | | | | | | | | | 590..............| 1,827| 581| 1,246| 1,540| 473| 1,067| 287| 108| 179| 237| 92| 145 | | | | | | | | | | | | 600..............| 2,575| 2,575| ...| 2,297| 2,297| ...| 278| 278| ...| 234| 234| ... | | | | | | | | | | | | 630-676..........| 333| ...| 333| 190| ...| 190| 143| ...| 143| 121| ...| 121 | | | | | | | | | | | | 630-638........| 41| ...| 41| 18| ...| 18| 23| ...| 23| 19| ...| 19 | | | | | | | | | | | | 640-676........| 297| ...| 297| 174| ...| 174| 123| ...| 123| 105| ...| 105 | | | | | | | | | | | | 740-759..........| 17,589| 9,129| 8,460| 14,495| 7,514| 6,981| 3,094| 1,615| 1,479| 2,560| 1,342| 1,218 | | | | | | | | | | | | 760-779..........| 18,092| 10,058| 8,034| 11,492| 6,372| 5,120| 6,600| 3,686| 2,914| 5,951| 3,346| 2,605 ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 6 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 7 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ | | RACE | | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | 767-769........| 3,264| 1,818| 1,446| 2,220| 1,239| 981| 1,044| 579| 465| 943| 523| 420 | | | | | | | | | | | | 760-766, 770- | | | | | | | | | | | | 779............| 17,593| 9,798| 7,795| 11,138| 6,191| 4,947| 6,455| 3,607| 2,848| 5,819| 3,274| 2,545 | | | | | | | | | | | | 780-799..........| 420,112| 197,648| 222,464| 361,724| 168,751| 192,973| 58,388| 28,897| 29,491| 49,815| 24,363| 25,452 | | | | | | | | | | | | RESIDUAL 3/......| 750,466| 342,678| 407,788| 651,041| 294,389| 356,652| 99,425| 48,289| 51,136| 85,648| 40,902| 44,746 | | | | | | | | | | | | E800-E949........| 164,471| 96,279| 68,192| 140,744| 81,437| 59,307| 23,727| 14,842| 8,885| 19,705| 12,343| 7,362 | | | | | | | | | | | | E810-E825......| 44,505| 29,678| 14,827| 37,067| 24,592| 12,475| 7,438| 5,086| 2,352| 5,788| 4,065| 1,723 | | | | | | | | | | | | E800-E807, | | | | | | | | | | | | E826-E949...| 120,335| 66,866| 53,469| 103,984| 57,066| 46,918| 16,351| 9,800| 6,551| 13,969| 8,317| 5,652 | | | | | | | | | | | | E950-E959........| 30,840| 24,718| 6,122| 27,889| 22,339| 5,550| 2,951| 2,379| 572| 1,999| 1,673| 326 | | | | | | | | | | | | E960-E978........| 18,476| 14,160| 4,316| 9,375| 6,794| 2,581| 9,101| 7,366| 1,735| 8,484| 6,920| 1,564 | | | | | | | | | | | | E980-E999........| 4,031| 2,798| 1,233| 3,176| 2,149| 1,027| 855| 649| 206| 763| 584| 179 | | | | | | | | | | | | N800-N999........| 201,315| 129,359| 71,956| 166,556| 105,091| 61,465| 34,759| 24,268| 10,491| 29,400| 20,727| 8,673 | | | | | | | | | | | | N800-N848......| 29,804| 13,648| 16,156| 27,294| 12,164| 15,130| 2,510| 1,484| 1,026| 1,989| 1,211| 778 | | | | | | | | | | | | N850-N854......| 34,831| 23,686| 11,145| 29,422| 19,824| 9,598| 5,409| 3,862| 1,547| 4,284| 3,122| 1,162 | | | | | | | | | | | | N860-N869......| 16,799| 11,758| 5,041| 13,743| 9,470| 4,273| 3,056| 2,288| 768| 2,546| 1,960| 586 ___________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 7 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 7 NUMBER OF RESIDENT DEATHS TABULATED BY ENTITY AXIS MULTIPLE CAUSE-OF-DEATH, RACE, AND SEX: UNITED STATES, 1998 (CAUSE CATEGORIES BASED ON 72 CAUSE LIST SUPPLEMENTED BY RELEVANT NATURE OF INJURY CATEGORY GROUPINGS, HIV INFECTION, AND ALZHEIMERS DISEASE) - CONTINUED _____________________________________________________________________________________________________________________________ | | RACE | | | | | CAUSE OF DEATH | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | N870-N897......| 33,762| 28,157| 5,605| 24,341| 20,125| 4,216| 9,421| 8,032| 1,389| 8,572| 7,366| 1,206 | | | | | | | | | | | | N900-N904......| 3,169| 2,222| 947| 2,407| 1,623| 784| 762| 599| 163| 664| 535| 129 | | | | | | | | | | | | N905-N909......| 3,038| 1,819| 1,219| 2,613| 1,548| 1,065| 425| 271| 154| 368| 234| 134 | | | | | | | | | | | | N910-N929......| 1,383| 910| 473| 1,223| 810| 413| 160| 100| 60| 125| 78| 47 | | | | | | | | | | | | N930-N939......| 15,097| 7,933| 7,164| 12,951| 6,737| 6,214| 2,146| 1,196| 950| 1,891| 1,037| 854 | | | | | | | | | | | | N940-N949......| 2,928| 1,936| 992| 2,227| 1,486| 741| 701| 450| 251| 612| 386| 226 | | | | | | | | | | | | N950-N957......| 1,961| 1,352| 609| 1,539| 1,047| 492| 422| 305| 117| 373| 274| 99 | | | | | | | | | | | | N958-N959......| 34,812| 22,741| 12,071| 28,858| 18,642| 10,216| 5,954| 4,099| 1,855| 4,713| 3,317| 1,396 | | | | | | | | | | | | N960-N995......| 41,910| 29,343| 12,567| 33,841| 23,749| 10,092| 8,069| 5,594| 2,475| 6,710| 4,635| 2,075 | | | | | | | | | | | | N996-N999......| 25,739| 13,650| 12,089| 22,058| 11,833| 10,225| 3,681| 1,817| 1,864| 3,166| 1,530| 1,636 | | | | | | | | | | | | *042-*044 4/.....| 16,776| 12,918| 3,858| 7,928| 6,734| 1,194| 8,848| 6,184| 2,664| 8,659| 6,032| 2,627 | | | | | | | | | | | | 331.0 5/.........| 45,675| 15,027| 30,648| 42,492| 13,959| 28,533| 3,183| 1,068| 2,115| 2,820| 923| 1,897 _____________________________________________________________________________________________________________________________ 1/ INCLUDES BLACK 2/ INCLUDES *042-*044 (HIV INFECTION) SHOWN SEPARATELY BELOW. 3/ INCLUDES 331.0 (ALZHEIMERS DISEASE) SHOWN SEPARATELY BELOW. 4/ INCLUDED IN REM. 001-139. 5/ INCLUDED IN RESIDUAL. - QUANTITY = 0 - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 8 NUMBER OF RESIDENT DEATHS TABULATED BY 5-YEAR AGE, RACE, AND SEX: UNITED STATES, 1998 ___________________________________________________________________________________________________________________________________ | | RACE | _______________________________________________________________________________________________________________ | | | | AGE | ALL RACES | WHITE | ALL OTHER1/ | BLACK | | | | _____________________________ ___________________________ __________________________ __________________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | TOTAL | MALE | FEMALE | | | | | | | | | | | | ___________________________________________________________________________________________________________________________________ | | | | | | | | | | | | ALL AGES...........|2,337,256|1,157,260|1,179,996|2,015,984| 990,190|1,025794| 321,272| 167,070| 154,202| 278,440| 143,417| 135,023 | | | | | | | | | | | | | | | | | | | | | | | | UNDER 1 YR.........| 28,371| 15,786| 12,585| 18,561| 10,327| 8,234| 9,810| 5,459| 4,351| 8,726| 4,883| 3,843 01-04 YR...........| 5,251| 2,920| 2,331| 3,628| 2,010| 1,618| 1,623| 910| 713| 1,397| 795| 602 05-09 YR...........| 3,530| 2,038| 1,492| 2,456| 1,424| 1,032| 1,074| 614| 460| 920| 532| 388 10-14 YR...........| 4,261| 2,648| 1,613| 3,157| 1,929| 1,228| 1,104| 719| 385| 895| 582| 313 15-19 YR...........| 13,788| 9,913| 3,875| 10,325| 7,246| 3,079| 3,463| 2,667| 796| 2,939| 2,296| 643 20-24 YR...........| 16,839| 12,804| 4,035| 11,971| 9,133| 2,838| 4,868| 3,671| 1,197| 4,220| 3,226| 994 25-29 YR...........| 18,151| 12,890| 5,261| 12,663| 9,082| 3,581| 5,488| 3,808| 1,680| 4,745| 3,310| 1,435 30-34 YR...........| 24,365| 16,325| 8,040| 17,417| 11,905| 5,512| 6,948| 4,420| 2,528| 6,059| 3,832| 2,227 35-39 YR...........| 37,236| 24,034| 13,202| 27,304| 18,024| 9,280| 9,932| 6,010| 3,922| 8,839| 5,302| 3,537 40-44 YR...........| 51,630| 33,105| 18,525| 38,043| 24,943| 13,100| 13,587| 8,162| 5,425| 12,166| 7,288| 4,878 45-49 YR...........| 65,410| 41,707| 23,703| 48,731| 31,547| 17,184| 16,679| 10,160| 6,519| 14,846| 9,045| 5,801 50-54 YR...........| 81,069| 50,020| 31,049| 63,425| 39,365| 24,060| 17,644| 10,655| 6,989| 15,419| 9,315| 6,104 55-59 YR...........| 100,645| 60,895| 39,750| 80,555| 49,142| 31,413| 20,090| 11,753| 8,337| 17,596| 10,260| 7,336 60-64 YR...........| 133,079| 79,239| 53,840| 108,757| 65,269| 43,488| 24,322| 13,970| 10,352| 21,217| 12,130| 9,087 65-69 YR...........| 189,780| 110,193| 79,587| 160,753| 94,345| 66,408| 29,027| 15,848| 13,179| 25,173| 13,714| 11,459 70-74 YR...........| 269,202| 149,150| 120,052| 233,911| 130,959| 102,952| 35,291| 18,191| 17,100| 30,434| 15,560| 14,874 75-79 YR...........| 329,463| 171,426| 158,037| 292,762| 153,165| 139,597| 36,701| 18,261| 18,440| 31,448| 15,365| 16,083 80-84 YR...........| 352,200| 162,786| 189,414| 319,419| 148,428| 170,991| 32,781| 14,358| 18,423| 27,967| 11,951| 16,016 85 AND OVER........| 612,575| 199,057| 413,518| 561,836| 181,696| 380,140| 50,739| 17,361| 33,378| 43,341| 13,964| 29,377 NOT STATED.........| 411| 324| 87| 310| 251| 59| 101| 73| 28| 93| 67| 26 | | | | | | | | | | | | ___________________________________________________________________________________________________________________________________ 1/ INCLUDES BLACK - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 9 NUMBER OF RESIDENT DEATHS TABULATED BY STATE OF RESIDENCE, RACE, AND SEX: UNITED STATES, 1998 ___________________________________________________________________________________________________________________________ | | RACE | _______________________________________________________________________________________________________ | | | | STATE OF RESIDENCE | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | _____________________________ _________________________ _______________________ _______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | TOTAL | MALE |FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | UNITED STATES......|2,337,256|1,157,260|1,179,996|2,015,984|990,190|1025794|321,272|167,070|154,202|278,440|143,417|135,023 | | | | | | | | | | | | | | | | | | | | | | | | ALABAMA............| 43,950| 22,043| 21,907| 32,985| 16,517| 16,468| 10,965| 5,526| 5,439| 10,865| 5,472| 5,393 ALASKA.............| 2,571| 1,498| 1,073| 1,835| 1,084| 751| 736| 414| 322| 69| 39| 30 ARIZONA............| 38,300| 20,291| 18,009| 35,632| 18,781| 16,851| 2,668| 1,510| 1,158| 947| 523| 424 ARKANSAS...........| 27,510| 13,835| 13,675| 23,349| 11,711| 11,638| 4,161| 2,124| 2,037| 4,066| 2,080| 1,986 CALIFORNIA.........| 226,954| 114,539| 112,415| 194,580| 97,027| 97,553| 32,374| 17,512| 14,862| 17,777| 9,365| 8,412 | | | | | | | | | | | | | | | | | | | | | | | | COLORADO...........| 26,640| 13,301| 13,339| 25,351| 12,637| 12,714| 1,289| 664| 625| 926| 480| 446 CONNECTICUT........| 29,710| 13,990| 15,720| 27,533| 12,860| 14,673| 2,177| 1,130| 1,047| 2,045| 1,054| 991 DELAWARE...........| 6,578| 3,293| 3,285| 5,457| 2,713| 2,744| 1,121| 580| 541| 1,085| 565| 520 DISTRICT OF | | | | | | | | | | | | COLUMBIA.........| 6,054| 3,029| 3,025| 1,264| 581| 683| 4,790| 2,448| 2,342| 4,745| 2,424| 2,321 FLORIDA............| 158,167| 81,182| 76,985| 141,112| 72,279| 68,833| 17,055| 8,903| 8,152| 16,456| 8,587| 7,869 | | | | | | | | | | | | | | | | | | | | | | | | GEORGIA............| 60,428| 30,123| 30,305| 43,742| 21,721| 22,021| 16,686| 8,402| 8,284| 16,335| 8,197| 8,138 HAWAII.............| 8,091| 4,557| 3,534| 2,230| 1,270| 960| 5,861| 3,287| 2,574| 51| 30| 21 IDAHO..............| 9,155| 4,713| 4,442| 8,991| 4,623| 4,368| 164| 90| 74| 18| 10| 8 ILLINOIS...........| 104,480| 51,128| 53,352| 87,408| 42,046| 45,362| 17,072| 9,082| 7,990| 16,142| 8,583| 7,559 INDIANA............| 53,477| 26,168| 27,309| 48,892| 23,806| 25,086| 4,585| 2,362| 2,223| 4,466| 2,300| 2,166 | | | | | | | | | | | | | | | | | | | | | | | | IOWA...............| 28,362| 13,546| 14,816| 27,853| 13,276| 14,577| 509| 270| 239| 393| 202| 191 KANSAS.............| 24,057| 11,666| 12,391| 22,612| 10,892| 11,720| 1,445| 774| 671| 1,227| 664| 563 KENTUCKY...........| 37,832| 18,706| 19,126| 35,152| 17,419| 17,733| 2,680| 1,287| 1,393| 2,622| 1,267| 1,355 LOUISIANA..........| 40,337| 20,297| 20,040| 27,278| 13,479| 13,799| 13,059| 6,818| 6,241| 12,860| 6,701| 6,159 MAINE..............| 12,135| 5,911| 6,224| 12,053| 5,864| 6,189| 82| 47| 35| 26| 15| 11 | | | | | | | | | | | | _______________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 2 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 9 NUMBER OF RESIDENT DEATHS TABULATED BY STATE OF RESIDENCE, RACE, AND SEX: UNITED STATES, 1998 - CONTINUED ___________________________________________________________________________________________________________________________ | | RACE _______________________________________________________________________________________________________ | | | | STATE OF RESIDENCE | ALL RACES | WHITE | ALL OTHER 1/ | BLACK _____________________________ _________________________ _______________________ _______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | TOTAL | MALE |FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | MARYLAND...........| 42,059| 20,718| 21,341| 30,503| 14,543| 15,960| 11,556| 6,175| 5,381| 11,047| 5,896| 5,151 MASSACHUSETTS......| 55,237| 25,648| 29,589| 52,760| 24,370| 28,390| 2,477| 1,278| 1,199| 2,019| 1,046| 973 MICHIGAN...........| 85,160| 42,056| 43,104| 72,330| 35,261| 37,069| 12,830| 6,795| 6,035| 12,146| 6,433| 5,713 MINNESOTA..........| 37,195| 17,950| 19,245| 35,889| 17,181| 18,708| 1,306| 769| 537| 664| 402| 262 MISSISSIPPI........| 27,847| 14,167| 13,680| 18,426| 9,328| 9,098| 9,421| 4,839| 4,582| 9,315| 4,784| 4,531 | | | | | | | | | | | | | | | | | | | | | | | | MISSOURI...........| 55,070| 26,612| 28,458| 49,133| 23,598| 25,535| 5,937| 3,014| 2,923| 5,706| 2,896| 2,810 MONTANA............| 7,981| 4,161| 3,820| 7,615| 3,966| 3,649| 366| 195| 171| 10| 4| 6 NEBRASKA...........| 15,198| 7,279| 7,919| 14,578| 6,971| 7,607| 620| 308| 312| 470| 225| 245 NEVADA.............| 14,464| 7,920| 6,544| 13,187| 7,177| 6,010| 1,277| 743| 534| 891| 532| 359 NEW HAMPSHIRE......| 9,495| 4,616| 4,879| 9,450| 4,592| 4,858| 45| 24| 21| 27| 14| 13 | | | | | | | | | | | | | | | | | | | | | | | | NEW JERSEY.........| 71,611| 34,345| 37,266| 61,864| 29,387| 32,477| 9,747| 4,958| 4,789| 8,933| 4,507| 4,426 NEW MEXICO.........| 12,907| 6,792| 6,115| 11,767| 6,146| 5,621| 1,140| 646| 494| 222| 123| 99 NEW YORK...........| 156,619| 74,591| 82,028| 132,262| 62,404| 69,858| 24,357| 12,187| 12,170| 21,701| 10,684| 11,017 NORTH CAROLINA.....| 67,993| 34,016| 33,977| 51,992| 25,908| 26,084| 16,001| 8,108| 7,893| 15,281| 7,739| 7,542 NORTH DAKOTA.......| 5,920| 3,043| 2,877| 5,711| 2,926| 2,785| 209| 117| 92| 7| 4| 3 | | | | | | | | | | | | | | | | | | | | | | | | OHIO...............| 105,891| 50,908| 54,983| 94,494| 45,126| 49,368| 11,397| 5,782| 5,615| 11,143| 5,634| 5,509 OKLAHOMA...........| 33,929| 16,780| 17,149| 30,247| 14,893| 15,354| 3,682| 1,887| 1,795| 2,069| 1,050| 1,019 OREGON.............| 29,383| 14,647| 14,736| 28,482| 14,151| 14,331| 901| 496| 405| 379| 210| 169 PENNSYLVANIA.......| 126,700| 61,066| 65,634| 114,769| 54,969| 59,800| 11,931| 6,097| 5,834| 11,455| 5,842| 5,613 RHODE ISLAND.......| 9,604| 4,587| 5,017| 9,248| 4,398| 4,850| 356| 189| 167| 279| 146| 133 | | | | | | | | | | | | | | | | | | | | | | | | SOUTH CAROLINA.....| 34,827| 17,641| 17,186| 24,466| 12,306| 12,160| 10,361| 5,335| 5,026| 10,263| 5,287| 4,976 SOUTH DAKOTA.......| 6,867| 3,439| 3,428| 6,377| 3,156| 3,221| 490| 283| 207| 15| 8| 7 TENNESSEE..........| 53,415| 26,700| 26,715| 45,015| 22,449| 22,566| 8,400| 4,251| 4,149| 8,250| 4,181| 4,069 TEXAS..............| 142,605| 72,256| 70,349| 123,469| 62,239| 61,230| 19,136| 10,017| 9,119| 18,042| 9,404| 8,638 UTAH...............| 11,824| 6,063| 5,761| 11,500| 5,894| 5,606| 324| 169| 155| 84| 43| 41 | | | | | | | | | | | | _______________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 3 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 9 NUMBER OF RESIDENT DEATHS TABULATED BY STATE OF RESIDENCE, RACE, AND SEX: UNITED STATES, 1998 - CONTINUED ___________________________________________________________________________________________________________________________ | | RACE | _______________________________________________________________________________________________________ | | | | STATE OF RESIDENCE | ALL RACES | WHITE | ALL OTHER 1/ | BLACK | | | | _____________________________ _________________________ _______________________ _______________________ | | | | | | | | | | | | | TOTAL | MALE | FEMALE | TOTAL | MALE |FEMALE | TOTAL | MALE |FEMALE | TOTAL | MALE |FEMALE | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | VERMONT............| 4,948| 2,446| 2,502| 4,928| 2,437| 2,491| 20| 9| 11| 12| 5| 7 VIRGINIA...........| 54,446| 26,853| 27,593| 42,507| 20,735| 21,772| 11,939| 6,118| 5,821| 11,384| 5,831| 5,553 WASHINGTON.........| 42,706| 21,450| 21,256| 40,133| 19,998| 20,135| 2,573| 1,452| 1,121| 1,040| 613| 427 WEST VIRGINIA......| 20,767| 10,274| 10,493| 20,017| 9,915| 10,102| 750| 359| 391| 735| 353| 382 WISCONSIN..........| 45,947| 22,498| 23,449| 43,818| 21,318| 22,500| 2,129| 1,180| 949| 1,701| 948| 753 | | | | | | | | | | | | | | | | | | | | | | | | WYOMING............| 3,853| 1,922| 1,931| 3,738| 1,862| 1,876| 115| 60| 55| 29| 15| 14 | | | | | | | | | | | | ___________________________________________________________________________________________________________________________ 1/ INCLUDES BLACK - 1 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 10 NUMBER OF DEATHS TABULATED BY STATE OF OCCURRENCE AND MONTH: UNITED STATES, 1998 (DEATHS BY STATE OF OCCURRENCE INCLUDE FOREIGN RESIDENTS) _____________________________________________________________________________________________________________________________ | | | | MONTH OF DEATH STATE OF OCCURRENCE| TOTAL | _______________________________________________________________________________________________ | | | | | | | | | | | | | | |JANUARY| FEB. | MARCH | APRIL | MAY | JUNE | JULY |AUGUST | SEPT. |OCTOBER| NOV. | DEC. | | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | UNITED STATES......|2,340,708|233,585|204,780|206,000|187,092|188,414|181,700|184,413|183,852|178,201|193,663|192,697|206,311 | | | | | | | | | | | | | | | | | | | | | | | | | | ALABAMA............| 43,393| 4,335| 3,877| 3,863| 3,534| 3,567| 3,347| 3,425| 3,281| 3,256| 3,522| 3,529| 3,857 ALASKA.............| 2,536| 201| 199| 203| 230| 227| 223| 211| 195| 213| 197| 214| 223 ARIZONA............| 39,207| 4,143| 3,436| 3,497| 3,119| 3,207| 3,039| 2,967| 2,966| 2,837| 3,142| 3,221| 3,633 ARKANSAS...........| 26,852| 2,655| 2,500| 2,434| 2,238| 2,107| 2,064| 2,186| 2,041| 2,079| 2,061| 2,133| 2,354 CALIFORNIA.........| 227,702| 25,875| 18,439| 19,015| 18,359| 18,303| 17,827| 17,936| 17,974| 16,975| 18,283| 18,499| 20,217 | | | | | | | | | | | | | | | | | | | | | | | | | | COLORADO...........| 27,066| 2,817| 2,413| 2,237| 2,104| 2,201| 2,138| 2,157| 2,144| 2,057| 2,292| 2,163| 2,343 CONNECTICUT........| 29,864| 2,938| 2,662| 2,689| 2,365| 2,359| 2,271| 2,352| 2,395| 2,261| 2,505| 2,412| 2,655 DELAWARE...........| 6,582| 626| 561| 585| 523| 529| 527| 526| 534| 494| 585| 549| 543 DISTRICT OF | | | | | | | | | | | | | COLUMBIA.........| 7,339| 719| 624| 632| 592| 590| 601| 569| 598| 573| 596| 629| 616 FLORIDA............| 159,354| 15,736| 14,121| 14,524| 13,067| 12,841| 12,435| 12,353| 12,279| 12,024| 13,010| 12,958| 14,006 | | | | | | | | | | | | | | | | | | | | | | | | | | GEORGIA............| 60,881| 6,060| 5,158| 5,337| 4,741| 4,851| 4,922| 4,845| 4,915| 4,566| 5,021| 4,962| 5,503 HAWAII.............| 8,293| 716| 818| 725| 665| 682| 687| 686| 731| 598| 614| 649| 722 IDAHO..............| 8,918| 869| 712| 781| 755| 653| 712| 754| 746| 674| 761| 712| 789 ILLINOIS...........| 101,584| 9,906| 8,911| 8,923| 7,902| 8,173| 7,819| 7,892| 8,136| 7,829| 8,448| 8,448| 9,197 INDIANA............| 54,102| 5,018| 4,849| 4,824| 4,248| 4,342| 4,122| 4,343| 4,352| 4,168| 4,622| 4,478| 4,736 | | | | | | | | | | | | | | | | | | | | | | | | | | IOWA...............| 28,025| 2,761| 2,732| 2,481| 2,178| 2,177| 2,145| 2,121| 2,170| 2,081| 2,360| 2,311| 2,508 KANSAS.............| 23,277| 2,413| 2,145| 1,993| 1,828| 1,788| 1,820| 1,831| 1,796| 1,738| 1,943| 1,943| 2,039 KENTUCKY...........| 37,508| 3,780| 3,320| 3,315| 3,014| 3,159| 2,963| 2,934| 2,887| 2,862| 3,056| 3,071| 3,147 LOUISIANA..........| 40,674| 4,143| 3,460| 3,613| 3,361| 3,373| 3,199| 3,359| 3,226| 3,130| 3,314| 3,152| 3,344 MAINE..............| 12,044| 1,150| 1,162| 1,111| 990| 930| 908| 960| 972| 920| 975| 920| 1,046 | | | | | | | | | | | | | _________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 2 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 10 NUMBER OF DEATHS TABULATED BY STATE OF OCCURRENCE AND MONTH: UNITED STATES, 1998 (DEATHS BY STATE OF OCCURRENCE INCLUDE FOREIGN RESIDENTS) - CONTINUED _____________________________________________________________________________________________________________________________ | | | | MONTH OF DEATH STATE OF OCCURRENCE| TOTAL | _______________________________________________________________________________________________ | | | | | | | | | | | | | | |JANUARY| FEB. | MARCH | APRIL | MAY | JUNE | JULY |AUGUST | SEPT. |OCTOBER| NOV. | DEC. | | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | MARYLAND...........| 41,846| 4,156| 3,669| 3,685| 3,398| 3,431| 3,168| 3,201| 3,280| 3,177| 3,452| 3,514| 3,715 MASSACHUSETTS......| 55,953| 5,456| 5,489| 4,948| 4,369| 4,436| 4,193| 4,280| 4,337| 4,068| 4,623| 4,831| 4,923 MICHIGAN...........| 84,128| 7,814| 7,683| 7,382| 6,469| 6,847| 6,634| 6,653| 6,641| 6,471| 7,152| 7,053| 7,329 MINNESOTA..........| 37,362| 3,718| 3,286| 3,164| 2,862| 3,050| 2,783| 2,917| 2,997| 2,937| 3,292| 3,122| 3,234 MISSISSIPPI........| 27,082| 2,776| 2,259| 2,357| 2,216| 2,276| 2,066| 2,164| 2,091| 2,069| 2,173| 2,192| 2,443 | | | | | | | | | | | | | | | | | | | | | | | | | | MISSOURI...........| 56,705| 5,591| 5,195| 5,201| 4,541| 4,511| 4,362| 4,383| 4,481| 4,346| 4,681| 4,677| 4,736 MONTANA............| 7,934| 768| 758| 737| 659| 652| 595| 635| 617| 583| 638| 627| 665 NEBRASKA...........| 15,361| 1,534| 1,434| 1,316| 1,202| 1,165| 1,163| 1,209| 1,205| 1,182| 1,299| 1,325| 1,327 NEVADA.............| 15,131| 1,515| 1,263| 1,294| 1,282| 1,208| 1,166| 1,179| 1,164| 1,182| 1,257| 1,212| 1,409 NEW HAMPSHIRE......| 9,480| 947| 964| 838| 719| 684| 734| 775| 681| 687| 846| 841| 764 | | | | | | | | | | | | | | | | | | | | | | | | | | NEW JERSEY.........| 69,942| 6,893| 5,983| 6,096| 5,620| 5,651| 5,376| 5,581| 5,542| 5,302| 5,892| 5,824| 6,182 NEW MEXICO.........| 12,803| 1,369| 1,085| 1,140| 1,020| 1,000| 1,052| 964| 976| 982| 1,039| 1,051| 1,125 NEW YORK...........| 155,640| 15,776| 13,360| 13,435| 12,242| 12,393| 12,078| 12,271| 12,097| 11,861| 13,174| 12,998| 13,955 NORTH CAROLINA.....| 68,736| 6,580| 6,019| 6,167| 5,431| 5,509| 5,267| 5,483| 5,411| 5,277| 5,695| 5,670| 6,227 NORTH DAKOTA.......| 6,312| 542| 604| 541| 558| 519| 454| 470| 559| 476| 535| 535| 519 | | | | | | | | | | | | | | | | | | | | | | | | | | OHIO...............| 105,514| 10,518| 9,278| 9,371| 8,443| 8,356| 8,225| 8,163| 8,208| 8,067| 8,805| 8,812| 9,268 OKLAHOMA...........| 32,933| 3,198| 2,936| 2,888| 2,644| 2,744| 2,544| 2,717| 2,628| 2,463| 2,619| 2,683| 2,869 OREGON.............| 29,314| 2,766| 2,318| 2,544| 2,471| 2,337| 2,333| 2,375| 2,403| 2,321| 2,437| 2,385| 2,624 PENNSYLVANIA.......| 127,555| 12,337| 11,325| 11,587| 10,103| 10,212| 9,688| 9,811| 9,914| 9,677| 10,834| 10,740| 11,327 RHODE ISLAND.......| 9,726| 962| 967| 860| 780| 725| 709| 786| 747| 728| 788| 779| 895 | | | | | | | | | | | | | | | | | | | | | | | | | | SOUTH CAROLINA.....| 34,084| 3,370| 2,995| 2,955| 2,744| 2,771| 2,679| 2,677| 2,688| 2,633| 2,756| 2,807| 3,009 SOUTH DAKOTA.......| 7,044| 658| 620| 610| 525| 543| 542| 566| 587| 566| 628| 578| 621 TENNESSEE..........| 56,577| 5,786| 5,013| 4,838| 4,580| 4,592| 4,504| 4,391| 4,421| 4,301| 4,648| 4,624| 4,879 TEXAS..............| 144,589| 14,347| 12,007| 12,932| 11,691| 12,030| 11,447| 11,631| 11,385| 11,182| 11,705| 11,594| 12,638 UTAH...............| 12,144| 1,257| 927| 1,049| 950| 1,004| 1,005| 1,019| 986| 944| 1,042| 938| 1,023 _________________________________________________________________________________________________________ SEE FOOTNOTES AT END OF TABLE. - 3 - MULTIPLE CAUSE OF DEATH PUBLIC USE TAPE CONTROL TOTAL TABLE 10 NUMBER OF DEATHS TABULATED BY STATE OF OCCURRENCE AND MONTH: UNITED STATES, 1998 (DEATHS BY STATE OF OCCURRENCE INCLUDE FOREIGN RESIDENTS) - CONTINUED _____________________________________________________________________________________________________________________________ | | | | MONTH OF DEATH STATE OF OCCURRENCE| TOTAL | _______________________________________________________________________________________________ | | | | | | | | | | | | | | |JANUARY| FEB. | MARCH | APRIL | MAY | JUNE | JULY |AUGUST | SEPT. |OCTOBER| NOV. | DEC. | | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | VERMONT............| 4,989| 440| 477| 466| 389| 375| 351| 412| 418| 378| 455| 407| 421 VIRGINIA...........| 53,797| 5,178| 4,976| 4,696| 4,291| 4,316| 4,073| 4,227| 4,156| 4,205| 4,357| 4,490| 4,832 WASHINGTON.........| 42,848| 3,988| 3,550| 3,698| 3,616| 3,472| 3,346| 3,452| 3,439| 3,302| 3,656| 3,561| 3,768 WEST VIRGINIA......| 20,603| 1,850| 1,753| 1,915| 1,662| 1,600| 1,617| 1,625| 1,607| 1,619| 1,656| 1,851| 1,848 WISCONSIN..........| 45,714| 4,294| 4,121| 4,190| 3,516| 3,650| 3,492| 3,654| 3,578| 3,606| 3,924| 3,728| 3,961 | | | | | | | | | | | | | | | | | | | | | | | | | | WYOMING............| 3,661| 340| 367| 318| 286| 296| 285| 335| 270| 274| 298| 295| 297 | | | | | | | | | | | | | _____________________________________________________________________________________________________________________________ Ninth Revision 282 Causes of Death Adapted for use by DVS Page 1 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 00100 1 057 I. Infectious and parasitic diseases (001-139) 00200 1 040 Intestinal infectious diseases (001-009) 00300 054 Cholera and typhoid and paratyphoid fevers (001-002) 00400 019 Shigellosis (004) 00500 076 Other salmonella infections and other food poisoning (bacterial) (003,005) 00600 017 Amebiasis (006) 00700 066 Intestinal infections due to other specified organisms (007-008) 00800 041 Ill-defined intestinal infections (009) 00900 1 022 Tuberculosis (010-018) 01000 046 Tuberculosis of respiratory system (010-012) 01100 030 Other tuberculosis (013-018) 01200 1 047 Zoonotic and other bacterial diseases (020-041) 01300 019 Brucellosis (023) 01400 018 Diphtheria (032) 01500 022 Whooping cough (033) 01600 065 Streptococcal sore throat, scarlatina, and erysipelas (034-035) 01700 031 Meningococcal infection (036) 01800 015 Tetanus (037) 01900 3 018 Septicemia (038) 02000 056 All other bacterial diseases (020-022,024-031,039-041) 02100 1 034 Viral diseases (*042-*044,045-079) 02200 027 Acute poliomyelitis (045) 02300 016 Smallpox (050) 02400 015 Measles (055) 02500 015 Rubella (056) 02600 040 Arthropod-borne encephalitis (062-064) 02700 023 Viral hepatitis (070) 02800 074 Other viral diseases (*042-*044,046-049,051-054,057-061,065-066,071-079) 02900 1 058 Rickettsioses and other arthropod-borne diseases (080-088) 03000 042 Typhus and other rickettsioses (080-083) 03100 015 Malaria (084) 03200 046 All other arthropod-borne diseases (085-088) 03300 1 046 Syphilis and other venereal diseases (090-099) 03400 1 020 Syphilis (090-097) 03500 033 Cardiovascular syphilis (093) 03600 023 Neurosyphilis (094) 03700 040 All other syphilis (090-091,095-097) 03800 029 Gonococcal infections (098) 03900 031 Other venereal diseases (099) 04000 1 103 Other infectious and parasitic diseases and late effects of infectious and parasitic diseases (100-139) 04100 019 Mycoses (110-118) 04200 025 Helminthiases (120-129) 04300 036 Late effects of tuberculosis (137) 04400 043 Late effects of acute poliomyelitis (138) 04500 127 All other infectious and parasitic diseases and late effects of other infectious and parasitic diseases (100-104,130-136,139) 04600 1 033 II. Neoplasms (140-239) 04700 1 089 Malignant neoplasms, including neoplasms of lymphatic and hematopoietic tissues (140-208) 04800 1 064 Malignant neoplasms of lip, oral cavity, and pharynx (140-149) 04900 016 Of lip (140) 05000 019 Of tongue (141) 05100 026 Of pharynx (146-149.0) 05200 097 Of other and ill-defined sites within the lip, oral cavity, and pharynx (142-145,149.1-149.9) Ninth Revision 282 Causes of Death Adapted for use by DVS Page 2 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 05300 1 066 Malignant neoplasms of digestive organs and peritoneum (150-159) 05400 022 Of esophagus (150) 05500 020 Of stomach (151) 05600 048 Of small intestine, including duodenum (152) 05700 1 018 Of colon (153) 05800 075 Hepatic and splenic flexures and transverse colon (153.0-153.1,153.7) 05900 030 Descending colon (153.2) 06000 027 Sigmoid colon (153.3) 06100 056 Cecum, appendix, and ascending colon (153.4-153.6) 06200 048 Other and colon, unspecified (153.8-153.9) 06300 052 Of rectum, rectosigmoid junction, and anus (154) 06400 1 046 Of liver and intrahepatic bile ducts (155) 06500 028 Liver, primary (155.0) 06600 037 Intrahepatic bile ducts (155.1) 06700 058 Liver, not specified as primary or secondary (155.2) 06800 052 Of gallbladder and extrahepatic bile ducts (156) 06900 021 Of pancreas (157) 07000 120 Of retroperitoneum, peritoneum, and other and ill-defined sites within the digestive organs and peritoneum (158-159) 07100 1 071 Malignant neoplasms of respiratory and intrathoracic organs (160-165) 07200 019 Of larynx (161) 07300 040 Of trachea, bronchus, and lung (162) 07400 107 Of all other and ill-defined sites within the respiratory system and intrathoracic organs (160,163-165) 07500 1 076 Malignant neoplasms of bone, connective tissue, skin, and breast (170-175) 07600 041 Of bone and articular cartilage (170) 07700 045 Of connective and other soft tissue (171) 07800 026 Melanoma of skin (172) 07900 043 Other malignant neoplasms of skin (173) 08000 2 026 Of female breast (174) 08100 1 024 Of male breast (175) 08200 1 049 Malignant neoplasms of genital organs (179-187) 08300 2 025 Of cervix uteri (180) 08400 2 042 Of other parts of uterus (179,181-182) 08500 2 043 Of ovary and other uterine adnexa (183) 08600 2 056 Of other and unspecified female genital organs (184) 08700 1 021 Of prostate (185) 08800 1 019 Of testis (186) 08900 1 048 Of penis and other male genital organs (187) 09000 1 049 Malignant neoplasms of urinary organs (188-189) 09100 020 Of bladder (188) 09200 060 Of kidney and other and unspecified urinary organs (189) 09300 1 062 Malignant neoplasms of other and unspecified sites (190-199) 09400 016 Of eye (190) 09500 018 Of brain (191) 09600 058 Of other and unspecified parts of nervous system (192) 09700 080 Of thyroid gland and other endocrine glands and related structures (193-194) 09800 048 Of all other and unspecified sites (195-199) 09900 1 070 Malignant neoplasms of lymphatic and hematopoietic tissues (200-208) 10000 043 Lymphosarcoma and reticulosarcoma (200) 10100 027 Hodgkin's disease (201) 10200 070 Other malignant neoplasms of lymphoid and histiocytic tissue (202) Ninth Revision 282 Causes of Death Adapted for use by DVS Page 3 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 10300 060 Multiple myeloma and immunoproliferative neoplasms (203) 10400 1 022 Leukemia (204-208) 10500 029 Lymphoid leukemia (204) 10600 028 Myeloid leukemia (205) 10700 030 Monocytic leukemia (206) 10800 046 Other and unspecified leukemia (207-208) 10900 1 108 Benign neoplasms, carcinoma in situ, and neoplasms of uncertain behavior and of unspecified nature (210-239) 11000 1 028 Benign neoplasms (210-229) 11100 2 038 Of female genital organs (218-221) 11200 062 Of eye, brain, and other parts of nervous system (224-225) 11300 064 Of all other and unspecified sites (210-217,222-223,226-229) 11400 1 029 Carcinoma in situ (230-234) 11500 044 Of breast and genitourinary system (233) 11600 052 Of all other and unspecified sites (230-232,234) 11700 043 Neoplasms of uncertain behavior (235-238) 11800 039 Neoplasms of unspecified nature (239) 11900 1 094 III. Endocrine, nutritional, and metabolic diseases and immunity disorders (240-279) 12000 1 073 Endocrine and metabolic diseases and immunity disorders (240-259,270-279) 12100 038 Disorders of thyroid gland (240-246) 12200 025 Diabetes mellitus (250) 12300 069 Disorders of the pituitary gland and its hypothalamic control (253) 12400 032 Diseases of thymus gland (254) 12500 035 Disorders of adrenal glands (255) 12600 025 Cystic fibrosis (277.0) 12700 017 Obesity (278.0) 12800 115 All other endocrine and metabolic diseases and immunity disorders (251-252,256-259,270-276,277.1-277.9,278.1-279) 12900 1 034 Nutritional deficiencies (260-269) 13000 028 Nutritional marasmus (261) 13100 046 Other protein-calorie malnutrition (262-263) 13200 050 All other nutritional deficiencies (260,264-269) 13300 1 067 IV. Diseases of blood and blood-forming organs (280-289) 13400 1 017 Anemias (280-285) 13500 030 Deficiency anemias (280-281) 13600 029 Hemolytic anemias (282-283) 13700 023 Aplastic anemia (284) 13800 037 Other and unspecified anemias (285) 13900 046 Purpura and other hemorrhagic conditions (287) 14000 066 All other diseases of blood and blood-forming organs (286,288-289) 14100 1 040 V. Mental disorders (290-319) 14200 055 Senile and presenile organic psychotic conditions (290) 14300 025 Alcoholic psychoses (291) 14400 029 All other psychoses (292-299) 14500 033 Alcohol dependence syndrome (303) 14600 021 Drug dependence (304) 14700 080 Other neurotic, personality, and nonpsychotic mental disorders (300-302,305-316) 14800 028 Mental retardation (317-319) Ninth Revision 282 Causes of Death Adapted for use by DVS Page 4 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 14900 1 072 VI. Diseases of the nervous system and sense organs (320-389) 15000 1 040 Diseases of the nervous system (320-359) 15100 022 Meningitis (320-322) 15200 027 Parkinson's disease (332) 15300 092 Other hereditary and degenerative diseases of the central nervous system (330-331,333-337) 15400 026 Multiple sclerosis (340) 15500 032 Infantile cerebral palsy (343) 15600 016 Epilepsy (345) 15700 068 Other diseases of the nervous system (323-326,341-342,344,346-359) 15800 041 Disorders of the eye and adnexa (360-379) 15900 049 Diseases of the ear and mastoid process (380-389) 16000 1 060 VII. Diseases of the circulatory system (390-459) 16100 1 053 Rheumatic fever and rheumatic heart disease (390-398) 16200 033 Acute rheumatic fever (390-392) 16300 1 043 Chronic rheumatic heart disease (393-398) 16400 034 Diseases of mitral valve (394) 16500 034 Diseases of aortic valve (395) 16600 046 Diseases of mitral and aortic valves (396) 16700 059 All other chronic rheumatic heart disease (393,397-398) 16800 1 030 Hypertensive disease (401-404) 16900 030 Essential hypertension (401) 17000 034 Hypertensive heart disease (402) 17100 034 Hypertensive renal disease (403) 17200 044 Hypertensive heart and renal disease (404) 17300 1 032 Ischemic heart disease (410-414) 17400 035 Acute myocardial infarction (410) 17500 064 Other acute and subacute forms of ischemic heart disease (411) 17600 023 Angina pectoris (413) 17700 087 Old myocardial infarction and other forms of chronic ischemic heart disease (412,414) 17800 043 Diseases of pulmonary circulation (415-417) 17900 1 038 Other forms of heart disease (420-429) 18000 039 Acute and subacute endocarditis (421) 18100 088 Acute pericarditis, acute myocarditis, and other diseases of pericardium (420,422-423) 18200 1 037 Other diseases of endocardium (424) 18300 034 Mitral valve disorders (424.0) 18400 034 Aortic valve disorders (424.1) 18500 051 All other diseases of endocardium (424.2-424.9) 18600 021 Heart failure (428) 18700 068 Myocarditis, unspecified and myocardial degeneration (429.0-429.1) 18800 072 All other and ill-defined forms of heart disease (425-427,429.2-429.9) 18900 1 034 Cerebrovascular diseases (430-438) 19000 031 Subarachnoid hemorrhage (430) 19100 059 Intracerebral and other intracranial hemorrhage (431-432) 19200 054 Occlusion and stenosis of precerebral arteries (433) 19300 082 Cerebral thrombosis and unspecified occlusion of cerebral arteries (434.0,434.9) 19400 027 Cerebral embolism (434.1) 19500 053 Acute but ill-defined cerebrovascular disease (436) 19600 066 Other and late effects of cerebrovascular diseases (435,437-438) 19700 1 059 Diseases of arteries, arterioles, and capillaries (440-448) 19800 023 Atherosclerosis (440) 19900 023 Aortic aneurysm (441) 20000 071 All other diseases of arteries, arterioles, and capillaries (442-448) 20100 1 084 Diseases of veins and lymphatics, and other diseases of circulatory system (451-459) 20200 075 Phlebitis, thrombophlebitis, and venous embolism and thrombosis (451-453) 20300 095 Other diseases of veins and lymphatics and all other diseases of circulatory system (454-459) Ninth Revision 282 Causes of Death Adapted for use by DVS Page 5 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 20400 1 061 VIII. Diseases of the respiratory system (460-519) 20500 1 057 Diseases of the upper respiratory tract (460-465,470-478) 20600 046 Acute upper respiratory infections (460-465) 20700 053 Other diseases of upper respiratory tract (470-478) 20800 1 054 Other diseases of the respiratory system (466,480-519) 20900 042 Acute bronchitis and bronchiolitis (466) 21000 1 021 Pneumonia (480-486) 21100 025 Viral pneumonia (480) 21200 056 Pneumococcal and other bacterial pneumonia (481-482) 21300 048 Bronchopneumonia, organism unspecified (485) 21400 061 Pneumonia due to other and unspecified organism (483,486) 21500 017 Influenza (487) 21600 1 072 Chronic obstructive pulmonary diseases and allied conditions (490-496) 21700 1 071 Bronchitis, chronic and unspecified, emphysema and asthma (490-493) 21800 057 Bronchitis, not specified as acute or chronic (490) 21900 030 Chronic bronchitis (491) 22000 021 Emphysema (492) 22100 018 Asthma (493) 22200 062 Bronchiectasis and extrinsic allergic alveolitis (494-495) 22300 063 Chronic airways obstruction, not elsewhere classified (496) 22400 073 Pneumoconioses and other lung diseases due to external agents (500-508) 22500 055 Empyema and abscess of lung and mediastinum (510,513) 22600 016 Pleurisy (511) 22700 056 All other diseases of respiratory system (512,514-519) 22800 1 057 IX. Diseases of the digestive system (520-579) 22900 060 Diseases of oral cavity, salivary glands, and jaws (520-529) 23000 1 057 Diseases of other parts of the digestive system (530-579) 23100 1 041 Ulcer of stomach and duodenum (531-533) 23200 023 Gastric ulcer (531) 23300 024 Duodenal ulcer (532) 23400 040 Peptic ulcer, site unspecified (533) 23500 032 Gastritis and duodenitis (535) 23600 024 Appendicitis (540-543) 23700 095 Hernia of abdominal cavity and intestinal obstruction without mention of hernia (550-553,560) 23800 059 Regional enteritis and idiopathic proctocolitis (555-556) 23900 062 All other noninfective gastroenteritis and colitis (557-558) 24000 032 Diverticula of intestine (562) 24100 1 043 Chronic liver disease and cirrhosis (571) 24200 077 Chronic liver disease and cirrhosis, specified as alcoholic (571.0-571.3) 24300 057 Chronic hepatitis and biliary cirrhosis (571.4,571.6) 24400 117 Cirrhosis of liver and other and unspecified chronic liver disease without mention of alcohol (571.5,571.8-571.9) 24500 061 Cholelithiasis and other disorders of gallbladder (574-575) 24600 082 All other diseases of digestive system (530,534,536-537,564-570,572-573,576-579) 24700 1 060 X. Diseases of the genitourinary system (580-629) 24800 1 036 Diseases of urinary system (580-599) 24900 1 056 Nephritis, nephrotic syndrome, and nephrosis (580-589) 25000 034 Acute glomerulonephritis (580) 25100 028 Nephrotic syndrome (581) 25200 140 Chronic glomerulonephritis, nephritis and nephropathy, not specified as acute or chronic, and renal sclerosis, unspecified (582-583,587) 25300 120 Renal failure, disorders resulting from impaired renal function, and small kidney of unknown cause (584-586,588-589) 25400 028 Infections of kidney (590) 25500 028 Urinary calculus (592,594) 25600 056 All other diseases of urinary system (591,593,595-599) Ninth Revision 282 Causes of Death Adapted for use by DVS Page 6 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 25700 1 1 041 Diseases of male genital organs (600-608) 25800 1 031 Hyperplasia of prostate (600) 25900 1 049 Other diseases of male genital organs (601-608) 26000 029 Disorders of breast (610-611) 26100 2 057 Diseases of female genital organs except breast (614-629) 26200 1 2 2 083 XI. Complications of pregnancy, childbirth, and the puerperium (630-676) 26300 1 2 2 041 Pregnancy with abortive outcome (630-638) 26400 2 2 025 Ectopic pregnancy (633) 26500 2 2 028 Spontaneous abortion (634) 26600 2 2 032 Legally induced abortion (635) 26700 2 2 034 Illegally induced abortion (636) 26800 2 2 057 Other pregnancy with abortive outcome (630-632,637-638) 26900 1 2 2 041 Direct obstetric causes (640-646,651-676) 27000 2 2 054 Hemorrhage of pregnancy and childbirth (640-641,666) 27100 2 2 040 Toxemia of pregnancy (642.4-642.9,643) 27200 2 2 024 Obstructed labor (660) 27300 2 2 043 Complications of the puerperium (670-676) 27400 2 2 077 Other direct obstetric causes (642.0-642.3,644-646,651-659,661-665,667-669) 27500 2 2 035 Indirect obstetric causes (647-648) 27600 2 2 042 Delivery in a completely normal case (650) 27700 1 070 XII. Diseases of the skin and subcutaneous tissue (680-709) 27800 052 Infections of skin and subcutaneous tissue (680-686) 27900 060 All other diseases of skin and subcutaneous tissue (690-709) 28000 1 087 XIII. Diseases of the musculoskeletal system and connective tissue (710-739) 28100 067 Rheumatoid arthritis and other inflammatory polyarthropathies (714) 28200 059 Other arthropathies and related disorders (710-712,715-719) 28300 022 Dorsopathies (720-724) 28400 040 Rheumatism, excluding the back (725-729) 28500 080 Osteopathies, chondropathies, and acquired musculoskeletal deformities (730-739) 28600 1 046 XIV. Congenital anomalies (740-759) 28700 018 Spina bifida (741) 28800 058 All other congenital anomalies of nervous system (740,742) 28900 039 Congenital anomalies of heart (745-746) 29000 054 Other congenital anomalies of circulatory system (747) 29100 048 All other congenital anomalies (743-744,748-759) 29200 1 079 XV. Certain conditions originating in the perinatal period (760-779) 29300 018 Birth trauma (767) 29400 081 Intrauterine hypoxia, birth asphyxia, and respiratory distress syndrome (768-769) 29500 070 Other conditions originating in the perinatal period (760-766,770-779) Ninth Revision 282 Causes of Death Adapted for use by DVS Page 7 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 29600 1 069 XVI. Symptoms, signs, and ill-defined conditions (780-799) 29700 043 Senility without mention of psychosis (797) 29800 067 Symptoms, signs, and other ill-defined conditions (780-796,798-799) 29900 1 093 Supplementary classification of external causes of injury and poisoning (E800-E999) 30000 1 041 Accidents and adverse effects (E800-E949) 30100 1 033 Transport accidents (E800-E848) 30200 033 Railway accidents (E800-E807) 30300 1 039 Motor vehicle accidents (E810-E825) 30400 1 049 Motor vehicle traffic accidents (E810-E819) 30500 045 Involving collision with train (E810) 30600 066 Involving collision with another motor vehicle (E811-E812) 30700 050 Involving collision with pedestrian (E814) 30800 068 Involving collision with other vehicle or object (E813,E815) 30900 054 Not involving collision on highway (E816-E818) 31000 067 Motor vehicle traffic accident of unspecified nature (E819) 31100 052 Motor vehicle nontraffic accidents (E820-E825) 31200 044 Other road vehicle accidents (E826-E829) 31300 041 Water transport accidents (E830-E838) 31400 049 Air and space transport accidents (E840-E845) 31500 060 Vehicle accidents not elsewhere classifiable (E846-E848) 31600 1 034 Accidental poisoning (E850-E869) 31700 075 Accidental poisoning by drugs, medicaments, and biologicals (E850-E858) 31800 072 Accidental poisoning by other solid or liquid substances (E860-E866) 31900 056 Accidental poisoning by gases and vapors (E867-E869) 32000 091 Misadventures during medical care, abnormal reactions, and late complications (E870-E879) 32100 1 030 Accidental falls (E880-E888) 32200 046 Fall from one level to another (E880-E884) 32300 034 Fall on same level (E885-E886) 32400 076 Fracture, cause unspecified, and other and unspecified falls (E887-E888) 32500 049 Accidents caused by fire and flames (E890-E899) 32600 1 053 Other accidents, including late effects (E900-E929) 32700 020 Lightning (E907) 32800 045 Accidental drowning and submersion (E910) 32900 120 Inhalation and ingestion of food or other object causing obstruction of respiratory tract or suffocation (E911-E912) 33000 039 Accident caused by handgun (E922.0) 33100 074 Accidents caused by all other and unspecified firearms (E922.1-E922.9) 33200 048 Accident caused by explosive material (E923) 33300 123 Accident caused by hot substance or object, caustic or corrosive material, steam, and exposure to radiation (E924,E926) 33400 046 Accident caused by electric current (E925) 33500 103 All other accidents and late effects of accidental injury (E900-E906,E908-E909,E913-E921,E927-E929) 33600 102 Drugs, medicaments, and biological substances causing adverse effects in therapeutic use (E930-E949) 33700 1 1 019 Suicide (E950-E959) 33800 1 064 Suicide by drugs, medicaments, and biologicals (E950.0-E950.5) 33900 1 061 Suicide by other solid or liquid substances (E950.6-E950.9) 34000 1 041 Suicide by gases and vapors (E951-E952) 34100 1 059 Suicide by hanging, strangulation, and suffocation (E953) 34200 1 029 Suicide by handgun (E955.0) 34300 1 063 Suicide by all other and unspecified firearms (E955.1-E955.4) 34400 1 089 Suicide by all other means and late effects of self-inflicted injury (E954,E955.5-E959) Ninth Revision 282 Causes of Death Adapted for use by DVS Page 8 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 282 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 34500 1 043 Homicide and legal intervention (E960-E978) 34600 029 Assault by handgun (E965.0) 34700 063 Assault by all other and unspecified firearms (E965.1-E965.4) 34800 051 Assault by cutting and piercing instrument (E966) 34900 127 Assault by all other means and late effects of injury purposely inflicted by other person (E960-E964,E965.5-E965.9,E967-E969) 35000 024 Legal execution (E978) 35100 091 Other legal intervention and late effects of injury due to legal intervention (E970-E977) 35200 1 075 Injury undetermined whether accidentally or purposely inflicted (E980-E989) 35300 071 From poisoning by drugs, medicaments, and biologicals (E980.0-E980.5) 35400 068 From poisoning by other solid or liquid substances (E980.6-E980.9) 35500 033 From injury by handgun (E985.0) 35600 067 From injury by all other and unspecified firearms (E985.1-E985.4) 35700 141 From injury by all other means and late effects of injury, undetermined whether accidentally or purposely inflicted (E981-E984,E985.5-E989) 35800 051 Injury resulting from operations of war (E990-E999) Ninth Revision 72 Causes of Death Adapted for use by DVS Page 9 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 72 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 010 035 Shigellosis and amebiasis (004,006) 020 045 Certain other intestinal infections (007-009) 030 1 022 Tuberculosis (010-018) 040 046 Tuberculosis of respiratory system (010-012) 050 030 Other tuberculosis (013-018) 060 020 Whooping cough (033) 070 063 Streptococcal sore throat, scarlatina, and erysipelas (034-035) 080 029 Meningococcal infection (036) 090 3 016 Septicemia (038) 100 025 Acute poliomyelitis (045) 110 013 Measles (055) 120 021 Viral hepatitis (070) 130 018 Syphilis (090-097) 140 119 All other infectious and parasitic diseases (001-003,005,020-032, 037,039-041,*042-*044,046-054,056-066,071-088,098-139) 150 1 089 Malignant neoplasms, including neoplasms of lymphatic and hematopoietic tissues (140-208) 160 064 Malignant neoplasms of lip, oral cavity, and pharynx (140-149) 170 066 Malignant neoplasms of digestive organs and peritoneum (150-159) 180 071 Malignant neoplasms of respiratory and intrathoracic organs (160-165) 190 040 Malignant neoplasm of breast (174-175) 200 049 Malignant neoplasms of genital organs (179-187) 210 049 Malignant neoplasms of urinary organs (188-189) 220 074 Malignant neoplasms of all other and unspecified sites (170-173,190-199) 230 020 Leukemia (204-208) 240 076 Other malignant neoplasms of lymphatic and hematopoietic tissues (200-203) 250 108 Benign neoplasms, carcinoma in situ, and neoplasms of uncertain behavior and of unspecified nature (210-239) 260 023 Diabetes mellitus (250) 270 034 Nutritional deficiencies (260-269) 280 017 Anemias (280-285) 290 020 Meningitis (320-322) 300 1 039 Major cardiovascular diseases (390-448) 310 1 041 Diseases of heart (390-398,402,404-429) 320 057 Rheumatic fever and rheumatic heart disease (390-398) 330 036 Hypertensive heart disease (402) 340 046 Hypertensive heart and renal disease (404) 350 1 036 Ischemic heart disease (410-414) 360 039 Acute myocardial infarction (410) 370 068 Other acute and subacute forms of ischemic heart disease (411) 380 027 Angina pectoris (413) 390 091 Old myocardial infarction and other forms of chronic ischemic heart disease (412,414) 400 039 Other diseases of endocardium (424) 410 054 All other forms of heart disease (415-423,425-429) 420 054 Hypertension with or without renal disease (401,403) 430 1 036 Cerebrovascular diseases (430-438) 440 061 Intracerebral and other intracranial hemorrhage (431-432) 450 084 Cerebral thrombosis and unspecified occlusion of cerebral arteries (434.0,434.9) 460 029 Cerebral embolism (434.1) 470 076 All other and late effects of cerebrovascular diseases (430,433,435-438) 480 023 Atherosclerosis (440) 490 067 Other diseases of arteries, arterioles, and capillaries (441-448) Ninth Revision 72 Causes of Death Adapted for use by DVS Page 10 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 72 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 500 040 Acute bronchitis and bronchiolitis (466) 510 1 033 Pneumonia and influenza (480-487) 520 021 Pneumonia (480-486) 530 017 Influenza (487) 540 1 070 Chronic obstructive pulmonary diseases and allied conditions (490-496) 550 047 Bronchitis, chronic and unspecified (490-491) 560 017 Emphysema (492) 570 014 Asthma (493) 580 078 Other chronic obstructive pulmonary diseases and allied conditions (494-496) 590 039 Ulcer of stomach and duodenum (531-533) 600 022 Appendicitis (540-543) 610 093 Hernia of abdominal cavity and intestinal obstruction without mention of hernia (550-553,560) 620 041 Chronic liver disease and cirrhosis (571) 630 059 Cholelithiasis and other disorders of gallbladder (574-575) 640 1 054 Nephritis, nephrotic syndrome, and nephrosis (580-589) 650 059 Acute glomerulonephritis and nephrotic syndrome (580-581) 660 138 Chronic glomerulonephritis, nephritis and nephropathy, not specified as acute or chronic, and renal sclerosis, unspecified (582-583,587) 670 118 Renal failure, disorders resulting from impaired renal function, and small kidney of unknown cause (584-586,588-589) 680 026 Infections of kidney (590) 690 1 029 Hyperplasia of prostate (600) 700 1 2 2 068 Complications of pregnancy, childbirth, and the puerperium (630-676) 710 2 2 043 Pregnancy with abortive outcome (630-638) 720 2 2 076 Other complications of pregnancy, childbirth, and the puerperium (640-676) 730 030 Congenital anomalies (740-759) 740 1 064 Certain conditions originating in the perinatal period (760-779) 750 097 Birth trauma, intrauterine hypoxia, birth asphyxia, and respiratory distress syndrome (767-769) 760 072 Other conditions originating in the perinatal period (760-766,770-779) 770 053 Symptoms, signs, and ill-defined conditions (780-799) 780 029 All other diseases (Residual) 790 1 041 Accidents and adverse effects (E800-E949) 800 037 Motor vehicle accidents (E810-E825) 810 063 All other accidents and adverse effects (E800-E807,E826-E949) 820 1 019 Suicide (E950-E959) 830 043 Homicide and legal intervention (E960-E978) 840 037 All other external causes (E980-E999) Ninth Revision 61 Causes of Death Adapted for use by DVS Page 11 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 61 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 010 039 Certain intestinal infections (008-009) 020 020 Whooping cough (033) 030 029 Meningococcal infection (036) 040 3 016 Septicemia (038) 050 024 Viral diseases (045-079) 060 025 Congenital syphilis (090) 070 110 Remainder of infectious and parasitic diseases (001-007,010-032, 034-035,037,039-041,*042-*044,080-088,091-139) 080 089 Malignant neoplasms, including neoplasms of lymphatic and hematopoietic tissues (140-208) 090 108 Benign neoplasms, carcinoma in situ, and neoplasms of uncertain behavior and of unspecified nature (210-239) 100 030 Diseases of thymus gland (254) 110 023 Cystic fibrosis (277.0) 120 052 Diseases of blood and blood-forming organs (280-289) 130 020 Meningitis (320-322) 140 059 Other diseases of nervous system and sense organs (323-389) 150 044 Acute upper respiratory infections (460-465) 160 042 Bronchitis and bronchiolitis (466,490-491) 170 1 033 Pneumonia and influenza (480-487) 180 021 Pneumonia (480-486) 190 017 Influenza (487) 200 061 Remainder of diseases of respiratory system (470-478,492-519) 210 093 Hernia of abdominal cavity and intestinal obstruction without mention of hernia (550-553,560) 220 075 Gastritis, duodenitis, and noninfective enteritis and colitis (535,555-558) 230 067 Remainder of diseases of digestive system (520-534,536-543,562-579) 240 1 030 Congenital anomalies (740-759) 250 042 Anencephalus and similar anomalies (740) 260 020 Spina bifida (741) 270 034 Congenital hydrocephalus (742.3) 280 092 Other congenital anomalies of central nervous system and eye (742.0-742.2,742.4-742.9,743) 290 041 Congenital anomalies of heart (745-746) 300 056 Other congenital anomalies of circulatory system (747) 310 050 Congenital anomalies of respiratory system (748) 320 052 Congenital anomalies of digestive system (749-751) 330 056 Congenital anomalies of genitourinary system (752-753) 340 058 Congenital anomalies of musculoskeletal system (754-756) 350 025 Down's syndrome (758.0) 360 043 Other chromosomal anomalies (758.1-758.9) 370 062 All other and unspecified congenital anomalies (744,757,759) Ninth Revision 61 Causes of Death Adapted for use by DVS Page 12 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 61 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 380 1 064 Certain conditions originating in the perinatal period (760-779) 390 091 Newborn affected by maternal conditions which may be unrelated to present pregnancy (760) 400 063 Newborn affected by maternal complications of pregnancy (761) 410 074 Newborn affected by complications of placenta, cord, and membranes (762) 420 069 Newborn affected by other complications of labor and delivery (763) 430 048 Slow fetal growth and fetal malnutrition (764) 440 077 Disorders relating to short gestation and unspecified low birthweight (765) 450 065 Disorders relating to long gestation and high birthweight (766) 460 020 Birth trauma (767) 470 1 047 Intrauterine hypoxia and birth asphyxia (768) 480 051 Fetal distress in liveborn infant (768.2-768.4) 490 032 Birth asphyxia (768.5-768.9) 500 037 Respiratory distress syndrome (769) 510 047 Other respiratory conditions of newborn (770) 520 051 Infections specific to the perinatal period (771) 530 027 Neonatal hemorrhage (772) 540 094 Hemolytic disease of newborn, due to isoimmunization, and other perinatal jaundice (773-774) 550 088 Syndrome of "infant of a diabetic mother" and neonatal diabetes mellitus (775.0-775.1) 560 040 Hemorrhagic disease of newborn (776.0) 570 098 All other and ill-defined conditions originating in the perinatal period (775.2-775.9,776.1-779) 580 1 053 Symptoms, signs, and ill-defined conditions (780-799) 590 038 Sudden infant death syndrome (798.0) 600 075 Symptoms, signs, and all other ill-defined conditions (780-797,798.1-799) 610 1 041 Accidents and adverse effects (E800-E949) 620 118 Inhalation and ingestion of food or other object causing obstruction of respiratory tract or suffocation (E911-E912) 630 042 Accidental mechanical suffocation (E913) 640 067 Other accidental causes and adverse effects (E800-E910,E914-E949) 650 1 020 Homicide (E960-E969) 660 047 Child battering and other maltreatment (E967) 670 038 Other homicide (E960-E966,E968-E969) 680 027 All other causes (Residual) Ninth Revision 52 Causes of Death Adapted for use by DVS Page 13 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 52 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 010 050 Tuberculosis, including late effects (010-018,137) 020 3 016 Septicemia (038) 030 1 089 Malignant neoplasms, including neoplasms of lymphatic and hematopoietic tissues (140-208) 040 064 Malignant neoplasms of lip, oral cavity, and pharynx (140-149) 050 039 Malignant neoplasm of esophagus (150) 060 037 Malignant neoplasm of stomach (151) 070 035 Malignant neoplasm of colon (153) 080 070 Malignant neoplasms of rectum, rectosigmoid junction, and anus (154) 090 064 Malignant neoplasms of liver and intrahepatic bile ducts (155) 100 070 Malignant neoplasms of gallbladder and extrahepatic bile ducts (156) 110 038 Malignant neoplasm of pancreas (157) 120 036 Malignant neoplasm of larynx (161) 130 058 Malignant neoplasms of trachea, bronchus, and lung (162) 140 036 Malignant neoplasm of pleura (163) 150 059 Malignant neoplasms of bone and articular cartilage (170) 160 063 Malignant neoplasms of connective and other soft tissue (171) 170 034 Malignant melanoma of skin (172) 180 2 043 Malignant neoplasm of female breast (174) 190 2 042 Malignant neoplasm of cervix uteri (180) 200 2 044 Malignant neoplasm of body of uterus (182) 210 2 061 Malignant neoplasms of ovary and other uterine adnexa (183) 220 1 038 Malignant neoplasm of prostate (185) 230 1 036 Malignant neoplasm of testis (186) 240 037 Malignant neoplasm of bladder (188) 250 078 Malignant neoplasms of kidney and other and unspecified urinary organs (189) 260 090 Malignant neoplasms of brain and other and unspecified parts of nervous system (191-192) 270 025 Hodgkin's disease (201) 280 059 Malignant lymphoma other than Hodgkin's disease (200,202) 290 058 Multiple myeloma and immunoproliferative neoplasms (203) 300 020 Leukemia (204-208) 310 149 All other malignant neoplasms, including neoplasms of lymphatic and hematopoietic tissues (152,158-160,164-165,173,175,179, 181,184,187,190,193-199) 320 023 Diabetes mellitus (250) 330 021 Aplastic anemia (284) 340 1 039 Diseases of heart (390-398,402,404-429) 350 034 Hypertensive heart disease (402) 360 044 Hypertensive heart and renal disease (404) 370 1 034 Ischemic heart disease (410-414) 380 037 Acute myocardial infarction (410) 390 046 All other ischemic heart disease (411-414) 400 047 All other diseases of heart (390-398,415-429) 410 052 Hypertension with or without renal disease (401,403) 420 034 Cerebrovascular diseases (430-438) 430 021 Atherosclerosis (440) 440 033 Pneumonia and influenza (480-487) 450 070 Chronic obstructive pulmonary diseases and allied conditions (490-496) 460 072 Pneumoconioses and pneumopathy due to inhalation of other dust (500-505) 470 039 Ulcer of stomach and duodenum (531-533) 480 041 Chronic liver disease and cirrhosis (571) 490 054 Nephritis, nephrotic syndrome, and nephrosis (580-589) 500 1 041 Accidents and adverse effects (E800-E949) 510 037 Motor vehicle accidents (E810-E825) 520 079 Accidents mainly of industrial type (E846,E881-E882,E916-E919,E921,E923-E926) 530 099 Other accidents and adverse effects (E800-E807,E826-E845,E847-E880,E883-E915,E920, E922,E927-E949) 540 1 019 Suicide (E950-E959) 550 043 Homicide and legal intervention (E960-E978) 560 049 All other diseases and external causes (Residual) Ninth Revision 34 Causes of Death Adapted for use by DVS Page 14 ST: 1 = Subtotal Limited: Sex: 1 = Males; 2 = Females Length = of Cause Title Age: 1 = 5 & Over; 2 = 10-54; 3 = 28 Days & Over ***** Cause Subtotals are not Identified in this File ***** 34 S Limited Len- Recode T Sex Age gth Cause Title And ICD-9 Codes Included 010 022 Tuberculosis (010-018) 020 018 Syphilis (090-097) 030 089 Residual of infectious and parasitic diseases (001-009,020-041,*042-*044,045-088,098-139) 040 1 089 Malignant neoplasms, including neoplasms of lymphatic and hematopoietic tissues (140-208) 050 066 Malignant neoplasms of digestive organs and peritoneum (150-159) 060 071 Malignant neoplasms of respiratory and intrathoracic organs (160-165) 070 040 Malignant neoplasm of breast (174-175) 080 049 Malignant neoplasms of genital organs (179-187) 090 049 Malignant neoplasms of urinary organs (188-189) 100 020 Leukemia (204-208) 110 053 Other malignant neoplasms (140-149,170-173,190-203) 120 023 Diabetes mellitus (250) 130 1 039 Major cardiovascular diseases (390-448) 140 1 041 Diseases of heart (390-398,402,404-429) 150 057 Rheumatic fever and rheumatic heart disease (390-398) 160 070 Hypertensive heart disease with or without renal disease (402,404) 170 036 Ischemic heart disease (410-414) 180 034 Other heart diseases (415-429) 190 054 Hypertension with or without renal disease (401,403) 200 036 Cerebrovascular diseases (430-438) 210 023 Atherosclerosis (440) 220 067 Other diseases of arteries, arterioles, and capillaries (441-448) 230 033 Pneumonia and influenza (480-487) 240 070 Chronic obstructive pulmonary diseases and allied conditions (490-496) 250 039 Ulcer of stomach and duodenum (531-533) 260 041 Chronic liver disease and cirrhosis (571) 270 054 Nephritis, nephrotic syndrome, and nephrosis (580-589) 280 2 2 068 Complications of pregnancy, childbirth, and the puerperium (630-676) 290 030 Congenital anomalies (740-759) 300 064 Certain conditions originating in the perinatal period (760-779) 310 053 Symptoms, signs, and ill-defined conditions (780-799) 320 029 All other diseases (Residual) 330 035 Motor vehicle accidents (E810-E825) 340 061 All other accidents and adverse effects (E800-E807,E826-E949) 350 1 019 Suicide (E950-E959) 360 043 Homicide and legal intervention (E960-E978) 370 037 All other external causes (E980-E999) VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 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, Chief of the Mortality Statistics Branch. The vital statistics computer file 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, and Guam provided the data to the National Center for Health Statistics. This Division also 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, Nicholas F. Pace, and Harry M. Rosenberg. Important contributors were Robert N. Anderson, Judy M. Barnes, Thomas D. Dunn, Donna E. Glenn, Brenda A. Green, Donna L. Hoyert, Christina K. Jarman, Millie B. Johnson, David W. Justice, Virginia J. Justice, Kenneth D. Kochanek, Julia L. Kowaleski, Jeffrey D. Maurer, Sherry L. Murphy, Gail A. Parr, Adrienne L. Rouse, Charles E. Royer, Jordan Sacks, George C. Tolson, Mary M. Trotter, Mary H. Wilder, JoAnn Wiley, and Francine D. Winter. The Division of Data Processing, David L. Larson, Acting Director, and Charles E. Sirc, Acting Deputy Director, was responsible for receipt and processing of the basic data file. The following staff provided overall direction: Tanya W. Pitts, Dan M. Shearin, and Elizabeth Walston. Important contributors were Tyringa L. Ambrose, Rosalyn R. Anderson, Joyce L. Bius, Karen M. Bridges, Brenda L. Brown, Frances E. Carter, Shirley Carter, Linda P. Currin, Celia Dickens, Patricia W. Dunham, Clara Edwards, Connie M. Gentry, Lillian M. Guettler, Donald Jessup, Audrey S. Johnson, Mary Susan Lippincott, Janet L. McBride, Susan L. McBroom, Rodney Pierson, Frank Rawls, Julia E. Raynor, Eldora Smith, Pamela A. Stephenson, Leslie J. Stewart, Susan Temple, Betsy B. Thompson, Teresa M. Watkins, Faye L. Webster, Mary Whitley, 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 301-436-8884. VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX For a list of reports published by the National Center for Health Statistics contact: Data Dissemination Branch National Center for Health Statistics Centers for Disease Control and Prevention Public Health Service 6525 Belcrest Road, Room 1064 Hyattsville, MD 20782 (301) 436-8500 Internet: http://www.cdc.gov/nchswww/ VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Sources of data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Death 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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Hispanic deaths . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Marital status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Educational attainment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Injury at work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Occupation and industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Place of death and status of decedent . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Mortality by month and date of death . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Report of autopsy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Cause of death . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Maternal deaths . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Infant deaths . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Quality of data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Completeness of registration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Quality control procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Computation of rates and other measures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Population bases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Net census undercount . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Age-adjusted death rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Life tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Random variation and sampling errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Statistical tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Figures 7-A. U.S. Standard Certificate of Death . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 Text tables A. Comparison of percent agreement and ratio of deaths for census or survey record to deaths by race for matching death certificate: 1960 and 1979-85 . . . . . . . . . . . . . . . . . . . . . . . . 35 B. 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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 C. 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 . . . . . . . . . . . . . . . . . . . . . . . . . . 37 D. Numbers of deaths and ratios of deaths for selected causes as tabulated by State of occurrence and NCHS, 1995 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 E. Population of birth- and death-registration States, 1900-1932, and United States, 1900-95 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 F. Source for resident population and population including Armed Forces abroad: Birth- and death-registration States, 1900-32, and United States, 1933-95 . . . . . . . . . . . . . . . . . . 41 G. Estimated population of the United States, by 5-year age groups, race, and sex: July 1, 1995 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 H. Estimated Population, by age, for the United States, each division and State, Puerto Rico, Virgin Islands, and Guam: July 1, 1995 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 I. Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, July 1, 1995 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 J. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1995 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 K. 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: Total of 49 States and the District of Columbia, 1995 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 L. Ratio of census-level resident population to resident population adjusted for estimated net census undercount by age, sex, and race: April 1, 1990 . . . . . . . . . . . . . . . . . . . . . . 62 M. Age-adjusted death rates for selected causes by race and sex, unadjusted and adjusted for estimated net census undercount: United States, 1990 . . . . . . . . . . . . . . . . . . . . . . . . 64 N. 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 Dadj . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Sources of data Death statistics Mortality statistics for 1995 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. 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, and the Virgin Islands are presented separately from data for the United States. No data are included for American Samoa or the Commonwealth of the Northern Marianas. 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. 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 1973 Florida Maine Colorado Missouri Michigan New Hampshire New York (except New York Rhode Island City) Vermont 1974 1975 1976 Illinois Louisiana Alabama Iowa Maryland Kentucky Kansas North Carolina Minnesota Montana Oklahoma Nevada Nebraska Tennessee Texas Oregon Virginia West Virginia South Carolina Wisconsin -1- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 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, mortality statistics for 1995 are based on information obtained directly by NCHS from copies of the original certificates received from the registration office. 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 41 States now furnishing such data. In 1995 Maine, Montana, North Dakota, and Wyoming contracted with a private company to provide precoded medical data to NCHS. Kansas provided the medical data for Alaska. The remaining 9 VSCP States, New York City, the District of Columbia, Puerto Rico, the Virgin Islands, and Guam submitted copies of the original certificates from which NCHS coded the medical data. 1974 1975 1980 Iowa Louisiana Colorado Michigan Nebraska Kansas North Carolina Massachusetts Virginia Mississippi Wisconsin New Hampshire Pennsylvania South Carolina 1981 1983 1984 Maine Minnesota Maryland New York (except New York City) Vermont 1986 1988 1989 California Alaska Georgia Florida Delaware Indiana Texas Idaho Washington North Dakota Wyoming -2- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 1991 1992 1993 Arkansas Montana Alabama Connecticut Hawaii Nevada Oregon South Dakota 1994 1995 Oklahoma New Mexico Rhode Island For 1995 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 the State vital statistics law. 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 the national vital statistics agency 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 7-A (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, -3- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 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 1995 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. For the United States (50 States and the District of Columbia), deaths of nonresidents 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, and other territories of the United States. Similarly, for Puerto Rico and for the Virgin Islands, deaths of nonresidents refers to deaths that occurred to a resident of any place other than Puerto Rico and the Virgin Islands, 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. 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 1995 this difference amounted to 3,119 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 another instruction manual (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. -4- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 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, or Guam--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 1995, 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 record is the age at last birthday, the same as the age classification used by the U.S. Bureau of the Census. For 1995 data, 463 resident death records (0.02 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. -5- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Race For vital statistics in the United States in 1995, 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 showing five additional Asian or Pacific Islander groups. These groups are Asian Indian, Korean, Samoan, Vietnamese, and Guamanian. These groups are coded only for deaths occurring in California, Hawaii, Illinois, New Jersey, New York, Texas, and Washington. In 1990, at least two- thirds of the U.S. population of each of these groups lived in this seven-State reporting area: Asian Indian, Korean, and Vietnamese, 63-66 percent; Guamanian, 74 percent; and Samoan, 84 percent (9). This additional race detail is available on the mortality public-use data tapes (10,11) and in tabular form. Beginning with 1992 data, all records coded as "other races" (0.02 percent of the total deaths in 1995) 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 the race is given as a mixture of white and any other race, the entry is coded to the appropriate nonwhite race. If a mixture of races other than white is given (except Hawaiian), the entry is coded to the first race listed. This procedure for coding the first race listed has been used since 1969. Before 1969 if the entry for race was a mixture of black and any other race except Hawaiian, the entry was coded to black. Race not stated--For 1995 the number of death records for which race was unknown, not stated, or not classifiable was 1,954 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 self-reported or reported by a member of the household 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 (12). 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 1.0 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 29,713 death certificates were compared with responses to the race questions from a total of 12 CPS's conducted by the U.S. Bureau of the Census for the years 1979-85 (13). The ratio between the two sources for white and black decedents was 1.0 as in the earlier study, however, the ratio for American Indian was 1.22 indicating that 22 percent more decedents were identified as American Indian in the census source as compared to the death certificate. The ratio for Asians was 1.12 (table A). In 1986 the National Mortality Followback Survey, conducted -6- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 the smaller minority races. Hispanic deaths Mortality statistics for the Hispanic population are based on information for those States and the District of Columbia that included items on the death certificate to identify Hispanic or ethnic origin of decedents. Data for 1995 were obtained from the District of Columbia and all States except Oklahoma, which was excluded because its death certificate did not include an item to identify Hispanic or ethnic origin. Hispanic mortality data were published for the first time in 1984. Generally, the reporting States 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.) 9 No ___9 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). By comparison, population estimates for Mexicans, Puerto Ricans, Cubans, and Other Hispanics are based in part on the Current Population Survey (15). Rates using the latter, therefore, are subject to sampling variation as well as random variation (see "Random variation and sampling errors"). The 49 States and the District of Columbia accounted for about 99.6 percent of the Hispanic population in the United States in 1990. This included about 99.5 percent of the Mexican population, 99.8 percent of the Puerto Rican population, 99.9 percent of the Cuban population, and 99.7 percent of the "Other Hispanic" population (9). For qualifications regarding infant mortality of the Hispanic-origin population, see "Infant deaths." 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. In 1995 of the 70,752 deaths occurring in New York City, only 3 percent were coded to Unknown origin. Similarly, 4 percent were coded to unknown origin in 1994 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 (13). The ratio of deaths for CPS divided by deaths for death certificate was 1.07 percent indicating net underreporting of Hispanic origin on death certificates as compared with self-reports on the surveys. The sample was too small to assess the reliability of specified Hispanic groups. 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. Several reports analyzing mortality by marital -7- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX status have been published, including the special study based on 1959-61 data (16). Reference to 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 as separated or common-law marriage is classified as married. Of the 2,267,097 resident deaths 15 years of age and over in 1995, 9,705 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 (15). 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 Beginning with the 1989 data year, mortality data on educational attainment have been tabulated 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+) For 1995, mortality data on educational attainment were reported by 46 States and the District of Columbia. Georgia, Oklahoma, Rhode Island, and South Dakota did not include an educational attainment item on their death certificate. Selected mortality tables on educational attainment are based on deaths to residents of 45 States and the District of Columbia whose data were approximately 80 percent or more complete on a place-of-occurrence basis. In addition to the four States mentioned previously, data for Kentucky are excluded from these tables because more than 20 percent of their death certificates were classified to "unknown educational attainment." Injury at work Deaths for "Injury at work" were included on the 1993 public-use data tapes 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 1995 public-use data tapes 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 -8- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX For 1995, the occupation and industry mortality data were included for the following 19 reporting States: Colorado New Mexico Georgia North Carolina Idaho Ohio Indiana Rhode Island Kansas South Carolina Kentucky Utah Maine Vermont Nevada West Virginia New Hampshire Wisconsin New Jersey Data for 1993-95 were coded using the revised NCHS Part 19 instruction manual (17) 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 (18). 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 (17). In addition to the codes shown in the Bureau of the Census publication (18), the following special codes were created: Occupation Industry 913 Retired 961 Own Home/At Home 914 Housewife/ 970 Retired Homemaker 990 Blank, Unknown, NA 915 Student 916 Volunteer 917 Unemployed, never worked, disabled, child, infant 999 Blank, Unknown, NA Place of death and status of decedent 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 1994 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: 9 Inpatient 9 ER/Outpatient 9 DOA OTHER: 9 Nursing Home 9 Residence 9 Other (specify) ! FACILITY NAME (If not institution, give street and number) -9- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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. Except for Oklahoma, 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 three causes, for which the greatest interest in date of occurrence of death has been expressed: Motor vehicle accidents, Suicide, and Homicide and legal intervention. 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" (19). 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 1979, the cause-of-death statistics published by NCHS have been classified according to the Ninth Revision of the International Classification of Diseases (ICD-9) (19). -10- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Five lists of causes have been developed by NCHS for tabulation and publication of mortality data--the Each-Cause List, List of 282 Selected Causes of Death, List of 72 Selected Causes of Death, List of 61 Selected Causes of Infant Death, and List of 34 Selected Causes of Death. These lists were designed to be as comparable as possible with the NCHS lists used under the Eighth Revision. However, complete comparability could not always be achieved. The Each-Cause List is made up of each three-digit category of the WHO Detailed List to which deaths may be validly assigned and most four-digit subcategories. This list is used for the tabulation of data for the entire United States. The Each-Cause table in Vital Statistics of the United States does not show the four-digit or special five- digit subcategories provided for Motor vehicle accidents (E810-E825). The four-digit subcategories that identify persons injured and the five-digit subcategories that identify place of accident for deaths from nontransport accidents are tabulated separately. The List of 282 Selected Causes of Death is constructed to be compatible with the recommended WHO lists for tabulating mortality data in ICD-9. This list is used for tabulating both State and national mortality data. The List of 72 Selected Causes of Death was, in part, constructed by combining titles in the List of 282 Selected Causes of Death. It is used in tabulating data for the entire United States and each State and for Metropolitan statistical areas and for ranking leading causes of death excluding infants. (See "Cause-of-death ranking".) The List of 61 Selected Causes of Infant Death shows more detailed titles for Congenital anomalies and Certain conditions originating in the perinatal period than any other list except the Each-Cause List, and is used for ranking infant causes of death. (See "Cause-of-death ranking".) The List of 34 Selected Causes of Death was created by combining titles in the List of 72 Selected Causes. This list is used for tabulating data by detailed geographic area. Beginning with data for 1987, changes were made in these lists to accommodate the introduction in the United States of new categories *042-*044 for Human immunodeficiency virus (HIV) infection. The changes are described in the Technical Appendix from Vital Statistics of the United States, 1987. To facilitate data use, beginning with data for 1994, the categories for HIV infection (*042-*044) and Alzheimer's disease (ICD-9 No. 331.0) are included separately at the bottom of tables showing the List of 72 Selected Causes of Death and the List of 282 Selected Causes of Death. They are also subsumed in categories of the list. Effect of ICD revisions--The International Classification of Diseases (ICD), used in the United States since 1900, has been revised approximately every 10 years so the 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. Cause-of-death statistics beginning with 1979 are classified by NCHS according to ICD-9 (19). For a discussion of each of the classifications used with death statistics since 1900, see Vital Statistics of the United States, 1979, Volume II, Mortality, Part A, section 7, pages 9-14. Revisions of the ICD cause discontinuities in cause of death statistics because of changes in the classification or in the rules for selecting and modifying the underlying cause of death. To measure the discontinuity, dual coding studies have been carried out since the Fifth Revision of the ICD (1940). A dual coding study was undertaken between the Ninth and the Eighth Revisions (20). For additional information about these studies, see the Technical Appendix from Vital Statistics of the United States, 1979. Significant coding changes under the Ninth Revision--Since the implementation of ICD-9 in the United States, effective with mortality data for 1979, several coding changes have been introduced that are described in detail in Vital Statistics of the United States for the years in which they were introduced. The more important changes are: 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 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). -11- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 indicate these codes are 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. Coding in 1995--The rules and instructions used in coding 1995 mortality medical data remained essentially the same as those used for the 1994 data. 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 (21), 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 Ninth Revision, Chapter XVI, Symptoms, signs, and ill-defined conditions (ICD-9 Nos. 780-799). Although deaths occur for which it is impossible to determine the underlying cause, this proportion 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 1995, 1.2 percent of all reported deaths in the United States were assigned to this category. The percent of deaths assigned to this category remained stable at 1.5 percent from 1981 to 1987, but has declined slightly since then. 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) (22), 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 intercoder 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 consistently 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 (22,23,24). 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) (25,26), 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 -12- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 (27). In the first year of implementation, only about 5 percent of the Nation's death records were coded using MICAR with subsequent processing through ACME. This percentage increased from 26 percent in 1991 to 35 percent in 1992, 59 percent in 1993, 72 percent in 1994, and 74 percent in 1995. States whose data were coded by MICAR in 1995 included Alabama, Arizona, Arkansas, Delaware, District of Columbia, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Missouri, Nebraska, Nevada, New Jersey, New York (excluding New York City), New York City, North Carolina, Ohio, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, and West Virginia. For these States, MICAR processed about 88 percent of the mortality records with an average system error rate of 0.17 on an underlying cause basis, and a rate of 0.32 on a multiple- cause basis. Records that MICAR was unable to process were coded manually and then processed using ACME. Beginning with data year 1993, another computer system was implemented for automating cause-of-death coding. This system, called SuperMICAR, is an enhancement of the MICAR 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 SuperMICAR with subsequent processing through MICAR and ACME. This percentage increased from 9 percent in 1993 to 12 percent in 1994, and 14 percent in 1995. States using SuperMICAR in 1995 included Colorado, Connecticut, Hawaii, Idaho, Michigan, Minnesota, New Hampshire, New Mexico, Oklahoma, Oregon, Rhode Island, and Wisconsin. In 1995, for these States, SuperMICAR processed about 75 percent of the mortality records with an average system error rate of 0.59 on an underlying cause basis, and a rate of 1.17 on a multiple-cause basis. Records that SuperMICAR was unable to process were coded manually and then processed using ACME. Cause-of-death ranking--Cause-of-death ranking except for infants is based on numbers of deaths assigned to categories in the List of 72 Selected Causes of Death, Human immunodeficiency virus infection (*042-*044), and Alzheimer's disease (ICD-9 No. 331.0). Added to the list of rankable causes was HIV infection, effective with data year 1987 and Alzheimer's disease, effective with data year 1994. Cause-of-death ranking for infants is based on the List of 61 Selected Causes of Infant Death and HIV infection (added to the list of rankable causes of infant death effective with data year 1987). The group titles Major cardiovascular diseases and Symptoms, signs, and ill-defined conditions from the List of 72 Selected Causes of Death are not ranked; Certain conditions originating in the perinatal period and Symptoms, signs, and ill-defined conditions from the List of 61 Selected Causes of Infant Death are not ranked. In addition, category titles beginning with the words "Other" or "All other" are not ranked to determine the leading causes of death. When one of the titles representing a subtotal is ranked (such as Tuberculosis), its component parts (in this case, Tuberculosis of respiratory system and Other tuberculosis) are not ranked. 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-9 Nos. 630-676). In the Ninth Revision, WHO for the first time defined a maternal death as follows: A maternal death is defined as the death of a woman 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. 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 -13- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 have been expanded to include Indirect obstetric causes (ICD-9 Nos. 647-648). These causes include 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. 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. 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 1989-95 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" (28). 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, 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 (29,30). 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 (31,32,33). 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 (32). -14- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 1989-95 data, and that 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" (28). 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 (34). 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 (34). 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 B 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 1.0; 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 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 (35). Hispanic origin--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 49 States and the District of Columbia. Data for Oklahoma were excluded, because Oklahoma did not include an item on Hispanic origin on its death certificate. 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 1995 was 1.7 percent and the percent of live births of unknown origin was 1.5 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 C 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 (35). 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.") -15- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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. Amended records for Alaska--Numbers of deaths for selected causes occurring in Alaska for 1995 are in error because NCHS did not receive changes resulting from amended records. An estimate of the effect of these omissions can be derived by comparing NCHS counts of records processed through the VSCP with counts prepared by Alaska as shown in table D. Differences are concentrated among selected causes of death, principally Symptoms, signs, and ill-defined conditions (ICD-9 Nos. 780-799) and external causes. Quality control procedures Demographic items on the death certificate--As previously indicated, for 1995 the mortality data for these items were obtained from two sources--photocopies of the original certificates furnished by Guam and electronic data records furnished by the 50 States, the District of Columbia, New York City, Puerto Rico, and the Virgin Islands. For Guam, which sent only copies of the original certificates, the demographic items were coded for 100 percent of the death certificates. The demographic coding for 100 percent of the certificates was independently verified. For areas sending electronic data records, a sample of 70-80 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 1995 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. For the 41 States sending electronic files, the average outgoing error rate in 1995 was estimated at 2.8 percent for underlying cause data, and 5.5 percent for multiple cause-of-death data. For the remaining 9 States, the District of Columbia, New York City, Puerto Rico, the Virgin Islands, and Guam, NCHS coded the medical items for all the death records. A 1-percent sample of the records was coded independently for quality control purposes. The estimated average error rate for underlying cause for these areas was 3.6 percent. 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 (36). Further, conditions specified on a list of infrequent or rare causes of death are confirmed by the certifier or a State health officer. 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. -16- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 1900-95 are shown in table E. In addition, the population including Armed Forces abroad is shown for the United States. Table F lists the sources for these populations. Populations for 1995--Population estimates of the United States by age, race, and sex for 1995 are shown in table G (37). The 1995 estimates are consistent with those for 1990-94. Population estimates for each State by age for 1995 are shown in table H (38). 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: Total of 49 States and the District of Columbia, 1995 (see table I) (15) ! Estimated population for ages 15 years and over by 5-year age groups, marital status, race, and sex: United States, 1995 (see table J) (15) ! Estimated population for ages 15 years and over, by 5-year age groups, marital status, Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, 1995 (see table K) (15) Population estimates by specified Hispanic origin and by marital status groups 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"). 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 (39). 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) (40) 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 -17- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 (39). They are, therefore, not comparable with death rates published in Vital Statistics of 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 (41). 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 (42). 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-5, 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 (39). Net census undercount -18- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 (43). 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 (44-47). 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 1995 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 L). 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 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 M). 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 -19- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 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 (48). 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 (relative age distribution of 1940 enumerated population of the United States totaling 1,000,000 (30)). By using the same standard population, the rates for the total population and for each race-sex group were adjusted separately. It is important not to compare age-adjusted death rates with crude rates. The U.S. standard population and corresponding weights (wi) are as follows: Age Number Weights (wi) All ages................................... 1,000,000 1.000000 Under 1 year........................... 15,343 0.015343 1-4 years................................ 64,718 0.064718 5-14 years.............................. 170,355 0.170355 15-24 years............................ 181,677 0.181677 25-34 years............................ 162,066 0.162066 35-44 years............................ 139,237 0.139237 45-54 years............................ 117,811 0.117811 55-64 years............................ 80,294 0.080294 65-74 years............................ 48,426 0.048426 75-84 years............................ 17,303 0.017303 85 years and over................... 2,770 0.002770 Age-adjusted death rates by marital status are computed using the age groups 25 years and over. Therefore, the United States standard population aged 25 years and over and corresponding weights (wi) are as follows: Age Number Weights (wi) 25 years and over.................... 567,907 1.000000 25-34 years............................. 162,066 0.285374 35-44 years............................. 139,237 0.245176 45-54 years............................. 117,811 0.207448 55-64 years............................. 80,294 0.141386 65-74 years............................. 48,426 0.085271 75 years and over.................... 20,073 0.035346 -20- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Life tables U.S. abridged life tables are constructed by reference to a standard table (49). Life tables for the decennial period 1979-81 are used as the standard life tables in constructing the 1980-95 abridged life tables. Life table -21- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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 (oeo) for years prior to 1945, estimates were prepared for the following race and sex groups and data years (50). 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. 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 (51). The probable range of values may be estimated from the actual figures according to certain statistical assumptions. In general, distributions of vital events may be assumed to follow the binomial distribution. 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. Such infrequent events may be assumed to follow a Poisson probability 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. Mortality data may also be subject to non-sampling errors. Populations-Population estimates of the United States and for each State by age, race, total Hispanic origin, and sex for 1995 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) and by specified marital status groups (never married, married, widowed, and divorced) 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 -22- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 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. The 3-year average infant mortality rates for the three-year period are computed by dividing the total number of infant deaths for a class for that period by the sum of the live births of a similarly defined class for the three-year period and multiplying that result by 100,000 (or 1,000). Relative Standard Errors and 95% Confidence Intervals--Formulas for computing approximate RSE's and confidence intervals (CI's) for crude, age-specific death rates, and age-adjusted death 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. 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. -23- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 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, non-Hispanic black for all marital status groups combined: Age-specific and crude death rates-- RSE(R) ' RSE(D) ' 100 1D 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- =.95,D) Upper: R * U(1- =.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- =.95,D) and U(1- =.95,D) are lower and upper 95% confidence limit factors and are shown in table N -24- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Age-adjusted death rates-- 3 w2 1 i R2i D RSE R" ' 100 i R" 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- =.95,Dadj) Upper: R" * U(1- =.95,Dadj) where R" = age-adjusted rate (per 100,000 population) = 3wiRi wi = ith age-specific Standard Population such that 3(wi) = 1.0 Ri = age-specific rate (per 100,000) for the ith age group Di = total number of deaths for the ith age group upon which age-specific rate is based S R" ' R"( RSE(R") ' standard error of age&adjusted rate 100 L(1- =.95,Dadj) and U(1- =.95,Dadj) are lower and upper 95% confidence limit factors and are shown in table N Dadj ' 1 adjusted number of deaths rounded to nearest integer RSE(R") 2 100 -25- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 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) OR for Mexican, Puerto Rican, Cuban, Other Hispanic for all marital status groups combined and by specified marital status group (never married, married, widowed, and divorced): Age-specific and crude death rates-- RSE(R) ' 100 1 % f a % b D P 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&á'.96, D ( 1&2.576 f a % bP Upper: R ( U 1&á'.96, D ( 1%2.576 f a % bP 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- =.96,D) and U(1- =.96,D) are lower and upper 96% confidence limit factors and are shown in table N -26- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Age-adjusted death rates-- 3 w 2 2 1 i ( Ri % f a % b D P RSE R" ' 100 i i R" 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- =.96,Dadj) * (1 -2.576 * RSE(Padj)) Upper: R" * U(1- =.96,Dadj) * (1+2.576 * RSE(Padj)) where R" = age-adjusted rate (per 100,000 population) = 3wi Ri wi = ith age-specific Standard Population such that 3(wi) = 1.0 Ri = age-specific rate (per 100,000)for the ith age group Di = total number of deaths for the ith 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) Pi = total estimated population for the ith age group upon which the rate is based (if rate is based on 3-year average, then combined Pi would be three times the population for the most recent year) S R" ' R" ( RSE R" ' standard error of age&adjusted rate 100 L(1- =.96,Dadj) and U(1- =.96,Dadj) are lower and upper 96% confidence limit factors and are shown in table N Padj =3(wi * Pi) = adjusted estimated population rounded to nearest integer 3 w 2 2 i ( Pi ( f a % bP RSE(P i adj) ' Padj adjusted number of deaths Dadj ' smaller of 3Di or 1 ' rounded to the RSE R" 2 & RSE P 2 adj nearest integer If Dadj is negative, set Dadj to 3(Di) -27- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Shown below are the "a", "b", and "f" factors for various race, origin, and marital status classifications, by whether the population-based rate was based on a single year or 3-year average: Race, origin, and marital status Rate based on 1 year Rate based on 3 years All races, white, American Indian, all origins, total f = 0.670 f = 0.440 Hispanic, total non-Hispanic, non-Hispanic white; a = -0.000017 a = -0.000017 by never married, married, widowed, divorced b= 4,786 b = 14,358 Black, non-Hispanic black; by never married, f = 0.670 f = 0.440 married, widowed, divorced a = -0.000204 a = -0.000204 b= 6,865 b = 20,595 Asian or Pacific Islander; by never married, f = 0.670 f = 0.440 married, widowed, divorced a = -0.000719 a = -0.000719 b= 6,865 b = 20,595 Mexican, Puerto Rican, Cuban, Other Hispanic; all f = 0.670 f = 0.440 marital status groups combined, never married, a = -0.000297 a = -0.000297 married, widowed, divorced b= 6,865 b = 20,595 -28- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 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 1 % 1 D B 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- =.95,Dadj) Upper: IMR * U(1- =.95,Dadj) 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- =.95,Dadj) and U(1- =.95,Dadj) are lower and upper 95% confidence limit factors and are shown in table N adjusted number of infant deaths that takes Dadj ' D ( B ' into account the RSE of the number D % B of infant deaths and live births -29- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Statistical tests For testing the equality of two rates, R1 and R2, 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 z ' 1&R2 RSE R 2 RSE R 2 R 2 1 2 1 % R2 100 2 100 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, R1, 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, R2, 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 R1 ' 100 1 % 0.440 ( &.000297 % 20,595 ' 18.88% 120 330,000 RSE R ' 100 1 ' 7.45% 2 180 and z ' 36.4 & 13.8 ' 3.25 2 2 36.42 18.88 %13.82 7.45 100 100 Since |z| is greater than 1.96, the difference between the two rates is statistically significant at the 0.05 level of significance. -30- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 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. As a hypothetical example, if the three-year average death rate for Cubans, R3, 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, R4, 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 N: 95% CI for R3 Lower: ' 26.7 ( 0.70266 1&2.576 0.44 ( &.000297% 20,595 ' 6.9 150,000 Upper: ' 26.7 ( 1.37991 1%2.576 0.44 ( &.000297% 20,595 ' 60.1 150,000 95% CI for R4 RSE R4 ' 100 1 ' 5.00% 400 Lower ' 61.5 & 1.96 ( 61.5 ( 5.00 ' 55.5 100 Upper ' 61.5 % 1.96 ( 61.5 ( 5.00 ' 67.5 100 Since the CI's overlap, the difference between R3 and R4 is not statistically significant. -31- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX References 1. Tolson GC, Barnes JM, Gay GA, Kowaleski JL. The 1989 revision of the U.S. standard certificates and reports. National Center for Health Statistics. Vital Health Stat 4(28). 1991. 2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. 3. National Center for Health Statistics. Vital statistics, demographic classification, and coding instructions for death records, 1995. NCHS instruction manual; part 4. Hyattsville, Maryland: Public Health Service. 1995. 4. McCarthy MA. Comparison of the classification of place of residence on death certificates and matching census records: United States, May-August 1960. National Center for Health Statistics. Vital and Health Stat 2(30). 1969. 5. National Center for Health Statistics. Vital statistics, vital records geographic classification, 1994. NCHS instruction manual; part 8. Hyattsville, Maryland: Public Health Service. 1993. 6. U.S. Bureau of the Census. Population of metropolitan areas and component geography: 1990 and 1980 (6-30-93 definitions). CPH-L-145. Washington: U.S. Department of Commerce. 1993. 7. U.S. Department of Commerce. Metropolitan statistical areas classification. Federal register; vol 45 no 2. Washington: U.S. Government Printing Office, 956-62. 1980. 8. U.S. Office of Management and Budget. Standard metropolitan statistical areas, rev. ed. Washington: U.S. Government Printing Office, 89-90. 1975. 9. U.S. Bureau of the Census. 1990 Census of population. General population characteristics; (1990 CP-1-1). Washington: U.S. Department of Commerce. 1992. 10. National Center for Health Statistics. Public use data file documentation: Mortality detail 1995 data. Hyattsville, Maryland: Public Health Service. 1997. 11. National Center for Health Statistics. Public use data file documentation: Multiple cause of death for ICD-9 1995 data. Hyattsville, Maryland: Public Health Service. 1997. 12. Hambright TZ. Comparability of marital status, race, nativity, and country of origin on the death certificate and matching census record: United States, May-August 1960. National Center for Health Statistics. Vital Health Stat 2(34). 1969. 13. Sorlie PD, Rogot E, Johnson NJ. Validity of demographic characteristics on the death certificate. Epidemiology 3(2):181-4. 1992. 14. Poe GS, Powell-Griner E, McLaughlin JK, et al. Comparability of the death certificate and the 1986 national mortality followback survey. National Center for Health Statistics. Vital Health Stat 2(118). 1993. 15. U.S. Bureau of the Census. Population estimates based on unpublished tabulations prepared by the Housing and Household Economic Statistics Division. 1996. 16. Klebba AJ. Mortality from selected causes by marital status: United States, parts A and B. National Center for Health Statistics. Vital Health Stat 20(8a) and 20(8b). 1970. 17. National Center for Health Statistics. Industry and occupation coding for death certificates, 1993. NCHS instruction manual, Part 19. Hyattsville, Maryland: Public Health Service. 1992. 18. U.S. Bureau of the Census. Classified index of industries and occupations. 1990 Census of Population and Housing. Washington: U.S. Department of commerce. 1992. 19. World Health Organization. Manual of the International Statistical Classification of Diseases, Injuries, and Causes of Death, based on the recommendations of the Ninth Revision Conference, 1975. Geneva: World Health Organization. 1977. 20. National Center for Health Statistics. Estimates of selected comparability ratios based on dual coding of 1976 death certificates by the Eighth and Ninth Revisions of the International Classification of Diseases. Monthly vital statistics report; vol 28 no 11, suppl. Hyattsville, Maryland: Public Health Service. 1980. 21. Gittelsohn A, Royston PN. Annotated bibliography of cause-of-death validation studies, 1958-80. National Center for Health Statistics. Vital Health Stat 2(89). 1982. 22. National Center for Health Statistics. Vital statistics, ICD-9 ACME decision tables for classifying underlying causes of death, 1991. NCHS instruction manual; part 2c. Hyattsville, Maryland: Public Health Service. Published annually. -32- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 23. National Center for Health Statistics. Instructions for classifying multiple causes of death. NCHS instruction manual; part 2b. Hyattsville, Maryland: Public Health Service. Published annually. 24. National Center for Health Statistics. Nonindexed terms, standard abbreviations, and state geographic codes used in mortality data classification. NCHS instruction manual; part 2e. Hyattsville, Maryland: Public Health Service. Published annually. 25. National Center for Health Statistics. Vital statistics, data entry instructions for the mortality medical indexing, classification, and retrieval system (MICAR). NCHS instruction manual; part 2g. Hyattsville, Maryland: Public Health Service. Published annually. 26. National Center for Health Statistics. Vital statistics, dictionary of valid terms for the mortality medical indexing, classification, and retrieval system (MICAR). NCHS instruction manual; part 2h. Hyattsville, Maryland: Public Health Service. Published annually. 27. Harris KW, Rosenberg HM, Kochanek KD, et al. Evaluation of an automated multiple causes of death coding system. In: American Statistical Association. 1993 Proceedings of the social statistics section. Alexandria, Virginia: American Statistical Association. 262-5. 1993. 28. Hoyert DL. Effect on mortality rates of the 1989 change in tabulating race. National Center for Health Statistics. Vital Health Stat 20(25). 1994. 29. Guralnick L, Winter ED. A note on cohort infant mortality rates. Public Health Rep 80:692-4. 1965. 30. Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940-60. National Center for Health Statistics. Washington: Public Health Service. 1968. 31. McCarthy B, Terry J, Rochat R, et al. The underregistration of neonatal deaths: Georgia 1974-77. Am J Public Health 70:977-82. 1980. 32. Linder FE, Grove RD. Vital statistics rates in the United States, 1900-40. Washington: National Office of Vital Statistics. 1947. 33. Chase HC, Weiner L, Garfinkel J. Vital signs present at birth. National Center for Health Statistics. Vital and Health Stat 2(46). 1972. 34. Frost F, Shy KK. Racial differences between linked birth and infant death records in Washington State. Am J Public Health 70:974-6. 1980. 35. MacDorman MF, Atkinson JO. Infant mortality statistics from the 1996 period linked birth/infant death data set. Monthly vital statistics report; vol 46 no 12, supp. Hyattsville, Maryland: National Center for Health Statistics. 1998. 36. National Center for Health Statistics. Vital statistics, computer edits for mortality data, effective 1989. NCHS instruction manual; part 11. Hyattsville, Maryland: Public Health Service. 1989. 37. U.S. Bureau of the Census. U.S. population estimates by age, sex, race, and Hispanic origin: July 1, 1995. Census file RESD0795. 1996. 38. U.S. Bureau of the Census. Estimates of the resident population of States by age and sex for July 1, 1995. Census file 95AG795. 1996. 39. U.S. Bureau of the Census. U.S. population estimates by age, sex, race, and Hispanic origin: 1980-91. Current population reports; series P-25, no 1095. Washington: U.S. Department of Commerce. 1993. 40. Executive Office of the President. Office of Management and Budget. Statistical Policy Directive No. 15. Race and ethnic standards for federal statistics and administrative reporting. 41. National Center for Health Statistics. Technical appendix. Vital statistics of the United States, 1980, vol II, mortality, part A. Washington: Public Health Service. 1985. 42. U.S. Bureau of the Census. Coverage of the national population in the 1980 census by age, sex, and race. Preliminary estimates by demographic analysis. Current population reports; series P-23, no 115. Washington: U.S. Department of Commerce. 1982. 43. Hambright TZ. Comparability of age on the death certificate and matching census records: United States, May-August 1960. National Center for Health Statistics. Vital Health Stat 2(29). 1968. 44. U.S. Bureau of the Census. Estimates of coverage of the population by sex, race, and age--demographic analysis: 1970 census of population and housing. PHC(E)-4. Washington: U.S. Department of Commerce. 1974. -33- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX 45. U.S. Bureau of the Census. Developmental estimates of the coverage of the population of States in the 1970 census--demographic analysis. Current population reports; series P-23, no 65. Washington: U.S. Department of Commerce. 1977. 46. Passel JS, Robinson JG. Revised demographic estimates of the coverage of the population by age, sex, and race in the 1980 Census. Unpublished memorandum, U.S. Bureau of the Census. Washington: U.S. Department of Commerce. 1985. 47. U.S. Bureau of the Census. Estimates of population of the United States by age, sex, and race: 1980 to 1985. Current population reports; series P-25, no 985. Washington: U.S. Department of Commerce. 1986. 48. Feinleib M, Zarate AO, eds. Reconsidering age adjustment procedures: Workshop proceedings. National Center for Health Statistics. Vital Health Stat 4(29). 1992. 49. Sirken MG. Comparison of two methods of constructing abridged life tables by reference to a "standard" table. National Center for Health Statistics. Vital Health Stat 2(4). 1966. 50. Greville TNE, Carlson GA. Estimated average length of life in the death-registration States. Vital statistics- Special reports. vol 33 no 9. National Center for Health Statistics. Washington: Public Health Service. 1951. 51. Chiang CL. Standard error of the age-adjusted death rate. Vital statistics-Special reports. vol 47 no 9. National Center for Health Statistics. Washington: Public Health Service. 1961. 52. Pearson, ES, Hartley, HO. Biometrika tables for statisticians, vol I. Cambridge University Press. 1966. -34- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX -35- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table A. Comparison of percent agreement and ratio of deaths for census or survey record to deaths by race for matching death certificate: 1960 and 1979-85 Census NLMS1 Race Ratio Ratio Percent census/ Percent CPS2/ agreement death agreement death certificate certificate White............................ 99.8 1.00 99.2 1.00 Black............................. 98.2 1.00 98.2 1.00 American Indian............ 79.2 1.12 73.6 1.22 Asian............................. --- ... 82.4 1.12 Japanese........................ 97.0 1.04 ... ... Chinese ........................ 90.3 1.07 ... ... Filipino ........................ 72.6 1.28 ... ... --- Data not available. ... Category not applicable. 1 NLMS is defined as National Longitudinal Mortality Study. 2 CPS is defined as Current Population Survey. 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; Sorlie PD, Rogot E, Johnson NJ. Validity of demographic characteristics on the death certificate. Epidemiology 3(2):181-4. 1992. -36- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table B. 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 Ratio Race Race from Race from birth/ death certificate birth certificate 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 . . . . . . . . . . . . . . . . . . . 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 SOURCE: Rosenberg H, Maurer JD, Sorlie PD, Johnson NJ, MacDorman M, Hoyert DL, Spitler JF, Scott C. Quality of death rates by race and Hispanic origin: a summary. National vital statistics reports (forthcoming). -37- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table C. 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 Ratio Race Hispanic origin Hispanic origin linked file/ from from birth/death death certificate 1 birth certificate All origins 2 . . . . . . . . . . . . . . . . . . . . . . . 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 3 . . . . . . . . . . . . . . . . . . 5.3 5.9 1.11 Non-Hispanic total 4 . . . . . . . . . . . . . . . 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 Data excludes Oklahoma which did not have a question on Hispanic origin on its death certificate. 2 Includes Hispanic origin not stated. 3 Includes Central and South American and Other and unknown Hispanic. 4 Includes races other than white and black. SOURCE: Rosenberg H, Maurer JD, Sorlie PD, Johnson NJ, MacDorman M, Hoyert DL, Spitler JF, Scott C. Quality of death rates by race and Hispanic origin: a summary. National vital statistics reports (forthcoming). -38- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table D. Numbers of deaths and ratios of deaths for selected causes as tabulated by State of occurrence and NCHS, 1995 [Data by place of occurrence include deaths of nonresidents. Numbers after causes of death are category numbers of the Ninth Revision, International Classification of Diseases, 1975] Causes Alaska NCHS Ratio AK/NCHS All causes....................................................................................... 2,546 2,546 1.00 Symptoms, signs, and ill-defined conditions....................780-799 42 43 0.98 Accidents and adverse effects.......................................E800-E949 368 376 0.98 Motor vehicle accidents..............................................E810-E825 105 96 1.09 All other accidents and adverse effects....E800-E807,E826-E949 263 280 0.94 Suicide..........................................................................E950-E959 118 105 1.12 Homicide and legal intervention...................................E960-E978 56 55 1.02 All other external causes...............................................E980-E999 7 11 0.64 -39- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table E. Population of birth- and death-registration States, 1900-1932, and United States, 1900-1995 [Population enumerated as of April 1 for 1940, 1950, 1960, 1970, 1980, and 1990 and estimated as of July 1 for all other years] Birth-registration Death-registration United States1 United States1 States States Population Population Population Population Population Population Year including residing Year including residing Number residing Number residing Armed Forces in Armed in of in of in abroad area Forces States2 States2 abroad area area area 1995 . . . . . . 263,033,968 262,755,270 1947 . . . . . . 144,126,000 143,446,000 . . . . . . . . . . . . 1994 . . . . . . 260,650,842 260,340,990 1946 . . . . . . 141,389,000 140,054,000 . . . . . . . . . . . . 1994 . . . . . . 258,119,768 257,783,004 1945 . . . . . . 139,928,000 132,481,000 . . . . . . . . . . . . 1992 . . . . . . 255,457,501 255,077,536 1944 . . . . . . 138,397,000 132,885,000 . . . . . . . . . . . . 1991 . . . . . . 252,688,000 252,177,000 1943 . . . . . . 136,739,000 134,245,000 . . . . . . . . . . . . 1990 . . . . . . 249,225,000 248,709,873 1942 . . . . . . 134,860,000 133,920,000 . . . . . . . . . . . . 1989 . . . . . . 247,342,000 246,819,000 1941 . . . . . . 133,402,000 133,121,000 . . . . . . . . . . . . 1988 . . . . . . 245,021,000 244,499,000 1940 . . . . . . 131,820,000 131,669,275 . . . . . . . . . . . . 1987 . . . . . . 242,804,000 242,289,000 1939 . . . . . . 131,028,000 130,879,718 . . . . . . . . . . . . 1986 . . . . . . 240,651,000 240,133,000 1938 . . . . . . 129,969,000 129,824,939 . . . . . . . . . . . . 1985 . . . . . . 238,466,000 237,924,000 1937 . . . . . . 128,961,000 128,824,829 . . . . . . . . . . . . 1984 . . . . . . 236,348,000 235,825,000 1936 . . . . . . 128,181,000 128,053,180 . . . . . . . . . . . . 1983 . . . . . . 234,307,000 233,792,000 1935 . . . . . . 127,362,000 127,250,232 . . . . . . . . . . . . 1982 . . . . . . 232,188,000 231,664,000 1934 . . . . . . 126,485,000 126,373,773 . . . . . . . . . . . . 1981 . . . . . . 229,966,000 229,466,000 1933 . . . . . . 125,690,000 125,578,763 . . . . . . . . . . . . 1980 . . . . . . 227,061,000 226,545,805 1932 . . . . . . 124,949,000 124,840,471 47 118,903,899 47 118,903,899 1979 . . . . . . 225,055,000 224,567,000 1931 . . . . . . 124,149,000 124,039,648 46 117,455,229 47 118,148,987 1978 . . . . . . 222,585,000 222,095,000 1930 . . . . . . 123,188,000 123,076,741 46 116,544,946 47 117,238,278 1977 . . . . . . 220,239,000 219,760,000 1929 . . . . . . - - - 121,769,939 46 115,317,450 46 115,317,450 1976 . . . . . . 218,035,000 217,563,000 1928 . . . . . . - - - 120,501,115 44 113,636,160 44 113,636,160 1975 . . . . . . 215,973,000 215,465,000 1927 . . . . . . - - - 119,038,062 40 104,320,830 42 107,084,532 1974 . . . . . . 213,854,000 213,342,000 1926 . . . . . . - - - 117,399,225 35 90,400,590 41 103,822,683 1973 . . . . . . 211,909,000 211,357,000 1925 . . . . . . - - - 115,831,963 33 88,294,564 40 102,031,555 1972 . . . . . . 209,896,000 209,284,000 1924 . . . . . . - - - 114,113,463 33 87,000,295 39 99,318,098 1971 . . . . . . 207,661,000 206,827,000 1923 . . . . . . - - - 111,949,945 30 81,072,123 38 96,788,197 1970 . . . . . . 204,270,000 203,211,926 1922 . . . . . . - - - 110,054,778 30 79,560,746 37 92,702,901 1969 . . . . . . 202,677,000 201,385,000 1921 . . . . . . - - - 108,541,489 27 70,807,090 34 87,814,447 1968 . . . . . . 200,706,000 199,399,000 1920 . . . . . . - - - 106,466,420 23 63,597,307 34 86,079,263 1967 . . . . . . 198,712,000 197,457,000 1919 . . . . . . 105,063,000 104,512,110 22 61,212,076 33 83,157,982 1966 . . . . . . 196,560,000 195,576,000 1918 . . . . . . 104,550,000 103,202,801 20 55,153,782 30 79,008,412 1965 . . . . . . 194,303,000 193,526,000 1917 . . . . . . 103,414,000 103,265,913 20 55,197,952 27 70,234,775 1964 . . . . . . 191,889,000 191,141,000 1916 . . . . . . - - - 101,965,984 11 32,944,013 26 66,971,177 1963 . . . . . . 189,242,000 188,483,000 1915 . . . . . . - - - 100,549,013 10 31,096,697 24 61,894,847 1962 . . . . . . 186,538,000 185,771,000 1914 . . . . . . - - - 99,117,567 . . . . . . 24 60,963,309 1961 . . . . . . 183,691,000 182,992,000 1913 . . . . . . - - - 97,226,814 . . . . . . 23 58,156,740 1960 . . . . . . 179,933,000 179,323,175 1912 . . . . . . - - - 95,331,300 . . . . . . 22 54,847,700 1959 . . . . . . 177,264,000 176,513,000 1911 . . . . . . - - - 93,867,814 . . . . . . 22 53,929,644 -40- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table E. Population of birth- and death-registration States, 1900-1932, and United States, 1900-1995 [Population enumerated as of April 1 for 1940, 1950, 1960, 1970, 1980, and 1990 and estimated as of July 1 for all other years] Birth-registration Death-registration United States1 United States1 States States Population Population Population Population Population Population Year including residing Year including residing Number residing Number residing Armed Forces in Armed in of in of in abroad area Forces States2 States2 abroad area area area 1958 . . . . . . 174,141,000 172,320,000 1910 . . . . . . - - - 92,406,536 . . . . . . 20 47,470,437 1957 . . . . . . 171,274,000 170,371,000 1909 . . . . . . - - - 90,491,525 . . . . . . 18 44,223,513 1956 . . . . . . 168,221,000 167,306,000 1908 . . . . . . - - - 88,708,976 . . . . . . 17 38,634,759 1955 . . . . . . 165,275,000 164,308,000 1907 . . . . . . - - - 87,000,271 . . . . . . 15 34,552,837 1954 . . . . . . 162,391,000 161,164,000 1906 . . . . . . - - - 85,436,556 . . . . . . 15 33,782,288 1953 . . . . . . 159,565,000 158,242,000 1905 . . . . . . - - - 83,819,666 . . . . . . 10 21,767,980 1952 . . . . . . 156,954,000 155,687,000 1904 . . . . . . - - - 82,164,974 . . . . . . 10 21,332,076 1951 . . . . . . 154,287,000 153,310,000 1903 . . . . . . - - - 80,632,152 . . . . . . 10 20,943,222 1950 . . . . . . 151,132,000 150,697,361 1902 . . . . . . - - - 79,160,196 . . . . . . 10 20,582,907 1949 . . . . . . 149,188,000 148,665,000 1901 . . . . . . - - - 77,585,128 . . . . . . 10 20,237,453 1948 . . . . . . 146,631,000 146,093,000 1900 . . . . . . - - - 76,094,134 . . . . . . 10 19,965,446 --- 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. -41- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table F. Source for resident population and population including Armed Forces abroad: Birth- and death-registration States, 1900-32, and United States, 1900-95 Year Source 1995 . . . . . . U.S. Bureau of the Census, Electronic Data File, RESD0795, and unpublished data. 1994 . . . . . . U.S. Bureau of the Census, Electronic Data File, RESD0794, and unpublished data. 1993 . . . . . . U.S. Bureau of the Census, Electronic Data File, RESP0793, and unpublished data. 1992 . . . . . . U.S. Bureau of the Census, Electronic Data File, RESP0792, and unpublished data. 1991 . . . . . . U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 1095, 1993. 1990 . . . . . . 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. 1981-89 . . . . U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 1095, 1993. 1980 . . . . . . U.S. Bureau of the Census, U.S. Census of Population: 1980, Number of Inhabitants, PC-80-1A1, United States Summary, 1983. 1971-79 . . . . U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 917, July 1982. 1970 . . . . . . U.S. Bureau of the Census, U.S. Census of Population: 1970, Number of Inhabitants, Final Report PC(1)-A1, United States Summary, 1971. 1961-69 . . . . U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 519, April 1974. 1960 . . . . . . U.S. Bureau of the Census, U.S. Census of Population: 1960, Number of Inhabitants, PC(1)-A1, United States Summary, 1964. 1951-59 . . . . U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 310, June 30, 1965. 1940-50 . . . . U.S. Bureau of the Census, Current Population Reports, Series P-25, No. 499, May 1973. 1930-39 . . . . 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. 1920-29 . . . . National Office of Vital Statistics, Vital Statistics Rates in the United States, 1900-1940, 1947. 1917-19 . . . . Same as for 1930-39. 1900-16 . . . . Same as for 1920-29. -42- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table G. Estimated population of the United States, by 5-year age groups, race, and sex: July 1, 1995 [Figures include Armed forces stationed in the United States and exclude those stationed outside the United States] All races White All other Age Total Black Both sexes Male Female Both sexes Male Female Both sexes Male Female Both sexes Male Female All ages . . . . . . . . . 262,755,270 128,313,798 134,441,472 218,085,421 106,993,635 111,091,786 44,669,849 21,320,163 23,349,686 33,141,148 15,721,074 17,420,074 Under 1 year . . . . . . . . 3,848,106 1,969,872 1,878,234 3,014,707 1,547,420 1,467,287 833,399 422,452 410,947 621,144 314,438 306,706 1-4 years . . . . . . . . . . . 15,743,042 8,055,333 7,687,709 12,436,458 6,376,721 6,059,737 3,306,584 1,678,612 1,627,972 2,478,716 1,255,910 1,222,806 5-9 years . . . . . . . . . . . 19,219,956 9,843,300 9,376,656 15,236,617 7,818,268 7,418,349 3,983,339 2,025,032 1,958,307 3,025,305 1,534,797 1,490,508 10-14 years . . . . . . . . . 18,914,532 9,685,241 9,229,291 15,039,772 7,720,711 7,319,061 3,874,760 1,964,530 1,910,230 2,876,972 1,459,558 1,417,414 15-19 years . . . . . . . . . 18,064,517 9,265,025 8,799,492 14,362,303 7,390,200 6,972,103 3,702,214 1,874,825 1,827,389 2,821,796 1,430,218 1,391,578 20-24 years . . . . . . . . . 17,882,118 9,087,045 8,795,073 14,317,137 7,323,846 6,993,291 3,564,981 1,763,199 1,801,782 2,637,568 1,299,324 1,338,244 25-29 years . . . . . . . . . 19,005,343 9,529,765 9,475,578 15,402,702 7,795,910 7,606,792 3,602,641 1,733,855 1,868,786 2,594,461 1,239,775 1,354,686 30-34 years . . . . . . . . . 21,867,796 10,902,150 10,965,646 17,984,412 9,062,225 8,922,187 3,883,384 1,839,925 2,043,459 2,825,366 1,325,134 1,500,232 35-39 years . . . . . . . . . 22,248,914 11,071,207 11,177,707 18,458,496 9,282,016 9,176,480 3,790,418 1,789,191 2,001,227 2,787,896 1,307,303 1,480,593 40-44 years . . . . . . . . . 20,218,805 9,990,476 10,228,329 16,929,523 8,460,555 8,468,968 3,289,282 1,529,921 1,759,361 2,390,339 1,108,770 1,281,569 45-49 years . . . . . . . . . 17,448,898 8,559,836 8,889,062 14,858,289 7,370,499 7,487,790 2,590,609 1,189,337 1,401,272 1,854,835 846,389 1,008,446 50-54 years . . . . . . . . . 13,629,862 6,621,815 7,008,047 11,725,262 5,754,226 5,971,036 1,904,600 867,589 1,037,011 1,380,983 619,729 761,254 55-59 years . . . . . . . . . 11,084,606 5,317,251 5,767,355 9,540,786 4,625,549 4,915,237 1,543,820 691,702 852,118 1,137,905 499,639 638,266 60-64 years . . . . . . . . . 10,046,478 4,726,807 5,319,671 8,723,606 4,152,335 4,571,271 1,322,872 574,472 748,400 988,458 425,295 563,163 65-69 years . . . . . . . . . 9,927,958 4,505,822 5,422,136 8,725,874 3,993,037 4,732,837 1,202,084 512,785 689,299 920,412 393,354 527,058 70-74 years . . . . . . . . . 8,831,205 3,836,272 4,994,933 7,918,213 3,461,716 4,456,497 912,992 374,556 538,436 696,791 280,476 416,315 75-79 years . . . . . . . . . 6,681,247 2,720,385 3,960,862 6,038,810 2,470,292 3,568,518 642,437 250,093 392,344 509,967 194,449 315,518 80-84 years . . . . . . . . . 4,463,733 1,609,321 2,854,412 4,069,152 1,469,402 2,599,750 394,581 139,919 254,662 318,168 107,311 210,857 85 years and over . . . . 3,628,154 1,016,875 2,611,279 3,303,302 918,707 2,384,595 324,852 98,168 226,684 274,066 79,205 194,861 SOURCE: Published and unpublished data from the U.S. Bureau of the Census; see text. -43- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table H. Estimated population, by age, for the United States, each division and State, Puerto Rico, Virgin Islands, and Guam: July 1, 1995 [Figures include Armed Forces stationed in each area, and exclude Armed Forces stationed outside the United States] Division and State Total Under 5 years 15-19 years 20-44 years 45-64 years 65 years and over United States . . . . . 262,755,270 19,591,148 56,199,005 101,222,976 52,209,844 33,532,297 Geographic divisions: New England . . . . . . . 13,312,412 895,898 2,627,215 5,258,704 2,667,863 1,862,732 Middle Atlantic . . . . . 38,153,221 2,721,237 7,634,671 14,472,477 7,894,731 5,430,105 East North Central . . . 43,456,141 3,128,414 9,409,884 16,616,553 8,729,381 5,571,909 West North Central . . 18,347,676 1,264,639 4,112,086 6,831,914 3,617,041 2,521,996 South Atlantic . . . . . . 46,995,266 3,325,490 9,509,928 18,160,132 9,555,646 6,444,070 East South Central . . . 16,066,495 1,135,805 3,461,262 6,101,786 3,339,026 2,028,616 West South Central . . 28,827,781 2,320,898 6,706,183 11,030,113 5,560,170 3,210,417 Mountain . . . . . . . . . . 15,645,168 1,244,762 3,684,177 5,897,743 3,051,888 1,766,598 Pacific . . . . . . . . . . . . 41,951,110 3,554,005 9,053,599 16,853,554 7,794,098 4,695,854 New England: Maine . . . . . . . . . . . . 1,241,382 74,513 262,980 472,162 259,582 172,145 New Hampshire . . . . . 1,148,253 76,269 245,451 467,324 222,709 136,500 Vermont . . . . . . . . . . 584,771 37,092 124,782 231,079 121,369 70,449 Massachusetts . . . . . . 6,073,550 412,862 1,156,540 2,444,165 1,199,376 860,607 Rhode Island . . . . . . . 989,794 67,570 193,057 385,682 187,680 155,805 Connecticut . . . . . . . . 3,274,662 227,592 644,405 1,258,292 677,147 467,226 Middle Atlantic: New York . . . . . . . . . 18,136,081 1,359,704 3,631,631 6,990,701 3,730,227 2,423,818 New Jersey . . . . . . . . 7,945,298 577,194 1,577,326 3,037,472 1,663,133 1,090,173 Pennsylvania . . . . . . . 12,071,842 784,339 2,425,714 4,444,304 2,501,371 1,916,114 -44- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table H. Estimated population, by age, for the United States, each division and State, Puerto Rico, Virgin Islands, and Guam: July 1, 1995 [Figures include Armed Forces stationed in each area, and exclude Armed Forces stationed outside the United States] Division and State Total Under 5 years 15-19 years 20-44 years 45-64 years 65 years and over East North Central: Ohio . . . . . . . . . . . . . 11,150,506 772,833 2,391,427 4,215,895 2,279,935 1,490,416 Indiana . . . . . . . . . . . 5,803,471 407,943 1,245,848 2,230,373 1,186,217 733,090 Illinois . . . . . . . . . . . . 11,829,940 920,982 2,521,591 4,564,415 2,338,816 1,484,136 Michigan . . . . . . . . . . 9,549,353 682,697 2,099,165 3,672,566 1,913,132 1,181,793 Wisconsin . . . . . . . . . 5,122,871 343,959 1,151,853 1,933,304 1,011,281 682,474 West North Central: Minnesota . . . . . . . . . 4,609,548 320,664 1,048,040 1,778,168 889,575 573,101 Iowa . . . . . . . . . . . . . 2,841,764 183,794 622,313 1,023,882 579,737 432,038 Missouri . . . . . . . . . . 5,323,523 369,321 1,156,726 1,979,691 1,077,359 740,426 North Dakota . . . . . . . 641,367 41,830 148,246 236,343 122,192 92,756 South Dakota . . . . . . . 729,034 52,310 176,704 258,281 136,919 104,820 Nebraska . . . . . . . . . . 1,637,112 114,141 376,888 599,452 318,954 227,677 Kansas . . . . . . . . . . . . 2,565,328 182,579 583,169 956,097 492,305 351,178 South Atlantic: Delaware . . . . . . . . . . 717,197 51,616 145,089 287,082 142,759 90,651 Maryland . . . . . . . . . . 5,042,438 368,055 1,023,354 2,051,902 1,027,382 571,745 District of Columbia . 554,256 39,909 85,456 241,384 110,267 77,240 Virginia . . . . . . . . . . . 6,618,358 463,688 1,324,642 2,733,999 1,358,594 737,435 West Virginia . . . . . . 1,828,140 106,460 371,332 656,509 414,624 279,215 North Carolina . . . . . . 7,195,138 513,888 1,476,269 2,824,410 1,481,113 899,458 South Carolina . . . . . . 3,673,287 262,833 787,894 1,430,888 751,769 439,903 Georgia . . . . . . . . . . . 7,200,882 551,180 1,572,524 2,944,887 1,414,385 717,906 Florida . . . . . . . . . . . . 14,165,570 967,861 2,723,368 4,989,071 2,854,753 2,630,517 -45- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table H. Estimated population, by age, for the United States, each division and State, Puerto Rico, Virgin Islands, and Guam: July 1, 1995 [Figures include Armed Forces stationed in each area, and exclude Armed Forces stationed outside the United States] Division and State Total Under 5 years 15-19 years 20-44 years 45-64 years 65 years and over East South Central: Kentucky . . . . . . . . . . 3,860,219 261,108 827,133 1,473,939 811,474 486,565 Tennessee . . . . . . . . . 5,256,051 365,477 1,088,517 2,022,370 1,121,476 658,211 Alabama . . . . . . . . . . 4,252,982 300,663 904,543 1,609,445 885,871 552,460 Mississippi . . . . . . . . 2,697,243 208,557 641,069 996,032 520,205 331,380 West South Central: Arkansas . . . . . . . . . . 2,483,769 172,617 550,258 883,203 518,417 359,274 Louisiana . . . . . . . . . . 4,342,334 336,295 1,040,537 1,624,199 846,822 494,481 Oklahoma . . . . . . . . . 3,277,687 230,362 743,577 1,184,260 677,267 442,221 Texas . . . . . . . . . . . . 18,723,991 1,581,624 4,371,811 7,338,451 3,517,664 1,914,441 Mountain: Montana . . . . . . . . . . 870,281 56,982 205,670 305,673 188,295 113,661 Idaho . . . . . . . . . . . . . 1,163,261 89,426 298,399 415,220 227,661 132,555 Wyoming . . . . . . . . . . 480,184 32,257 119,801 175,179 99,674 53,273 Colorado . . . . . . . . . . 3,746,585 268,950 814,019 1,501,226 786,087 376,303 New Mexico . . . . . . . 1,685,401 138,303 412,650 620,969 330,092 183,387 Arizona . . . . . . . . . . . 4,217,940 355,808 949,809 1,561,024 790,771 560,528 Utah . . . . . . . . . . . . . 1,951,408 183,818 568,951 721,790 304,842 172,007 Nevada . . . . . . . . . . . 1,530,108 119,218 314,878 596,662 324,466 174,884 Pacific: Washington . . . . . . . . 5,430,940 385,897 1,178,182 2,145,740 1,093,387 627,734 Oregon . . . . . . . . . . . 3,140,585 209,591 672,424 1,168,806 663,899 425,865 California . . . . . . . . . 31,589,153 2,809,826 6,801,330 12,830,615 5,684,563 3,462,819 Alaska . . . . . . . . . . . . 603,617 52,882 155,312 249,856 115,784 29,783 Hawaii . . . . . . . . . . . . 1,186,815 95,809 246,351 458,537 236,465 149,653 -46- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table H. Estimated population, by age, for the United States, each division and State, Puerto Rico, Virgin Islands, and Guam: July 1, 1995 [Figures include Armed Forces stationed in each area, and exclude Armed Forces stationed outside the United States] Division and State Total Under 5 years 15-19 years 20-44 years 45-64 years 65 years and over Puerto Rico . . . . . . . . . 3,731,006 319,833 967,608 1,367,887 699,770 375,908 Virgin Islands . . . . . . . 111,950 11,746 30,308 36,893 24,731 8,272 Guam . . . . . . . . . . . . . 143,855 20,016 38,101 56,922 21,526 7,290 SOURCE: Published and unpublished data from the U.S. Bureau of the Census; see text. -47- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table I. Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, July 1, 1995 [Figures include Armed Forces stationed in the United States and exclude those stationed outside the United States] Hispanic Non-Hispanic Sex and age All origins Puerto Other Total Mexican Rican Cuban Hispanic 1 Total 2 White Black Both sexes All ages . . . . . . . . . . . . . 259,504,615 26,903,271 17,355,772 2,769,337 1,131,663 5,646,499 232,601,344 190,850,619 31,362,664 Under 1 year . . . . . . . . . . . 3,809,275 655,554 470,799 64,678 8,367 111,710 3,153,721 2,384,798 578,805 1-4 years . . . . . . . . . . . . . . 15,580,062 2,543,683 1,831,485 212,544 52,849 446,805 13,036,379 9,978,680 2,320,160 5-9 years . . . . . . . . . . . . . . 19,012,420 2,651,648 1,827,552 275,458 67,706 480,932 16,360,772 12,660,787 2,847,501 10-14 years . . . . . . . . . . . . 18,630,833 2,417,045 1,640,556 285,618 54,814 436,057 16,213,788 12,623,204 2,710,259 15-19 years . . . . . . . . . . . . 17,819,048 2,270,583 1,461,401 270,401 59,450 479,331 15,548,465 12,107,989 2,664,902 20-24 years . . . . . . . . . . . . 17,672,363 2,328,759 1,581,229 200,083 67,422 480,025 15,343,604 12,039,504 2,485,920 25-29 years . . . . . . . . . . . . 18,817,030 2,494,511 1,700,668 212,113 77,023 504,707 16,322,519 12,972,578 2,442,477 30-34 years . . . . . . . . . . . . 21,650,105 2,524,224 1,611,589 227,880 89,061 595,694 19,125,881 15,498,672 2,667,118 35-39 years . . . . . . . . . . . . 21,991,526 2,150,017 1,310,414 233,753 99,407 506,443 19,841,509 16,292,926 2,635,411 40-44 years . . . . . . . . . . . . 19,954,489 1,716,147 1,015,553 190,484 78,309 431,801 18,238,342 15,157,873 2,257,012 45-49 years . . . . . . . . . . . . 17,220,601 1,307,489 751,352 158,791 81,819 315,527 15,913,112 13,475,210 1,765,840 50-54 years . . . . . . . . . . . . 13,430,283 958,448 556,698 129,488 49,707 222,555 12,471,835 10,678,551 1,318,856 55-59 years . . . . . . . . . . . . 10,925,387 758,260 432,167 98,311 60,555 167,227 10,167,127 8,705,433 1,088,923 60-64 years . . . . . . . . . . . . 9,899,196 632,954 358,687 76,178 65,229 132,860 9,266,242 8,008,598 950,312 65-69 years . . . . . . . . . . . . 9,812,348 540,568 304,944 45,729 63,881 126,014 9,271,780 8,127,172 884,416 70-74 years . . . . . . . . . . . . 8,702,959 403,168 219,217 40,286 56,636 87,029 8,299,791 7,420,570 676,445 75-79 years . . . . . . . . . . . . 6,583,805 254,182 120,665 18,276 51,868 63,373 6,329,623 5,714,811 493,861 80-84 years . . . . . . . . . . . . 4,408,015 167,139 96,302 15,701 19,958 35,178 4,240,876 3,861,759 307,575 85 years and over . . . . . . . . 3,584,870 128,892 64,494 13,565 27,602 23,231 3,455,978 3,141,504 266,871 Male All ages . . . . . . . . . . . . . 126,752,625 13,628,500 8,974,090 1,303,169 568,949 2,782,292 113,124,125 93,270,479 14,828,366 Under 1 year . . . . . . . . . . . 1,950,448 336,434 248,742 30,711 5,199 51,782 1,614,014 1,227,497 290,941 1-4 years . . . . . . . . . . . . . . 7,974,893 1,302,113 927,676 99,554 32,451 242,432 6,672,780 5,121,759 1,175,545 5-9 years . . . . . . . . . . . . . . 9,735,795 1,356,198 914,348 144,442 39,111 258,297 8,379,597 6,497,997 1,445,807 10-14 years . . . . . . . . . . . . 9,536,570 1,233,877 808,092 161,091 27,560 237,134 8,302,693 6,486,892 1,372,005 15-19 years . . . . . . . . . . . . 9,143,122 1,162,112 774,039 129,647 26,834 231,592 7,981,010 6,234,908 1,352,603 -48- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table I. Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, July 1, 1995 [Figures include Armed Forces stationed in the United States and exclude those stationed outside the United States] Hispanic Non-Hispanic Sex and age All origins Puerto Other Total Mexican Rican Cuban Hispanic 1 Total 2 White Black 20-24 years . . . . . . . . . . . . 8,979,149 1,227,296 857,708 88,891 36,259 244,438 7,751,853 6,125,276 1,220,795 25-29 years . . . . . . . . . . . . 9,446,366 1,340,052 940,380 91,997 44,081 263,594 8,106,314 6,503,109 1,160,579 30-34 years . . . . . . . . . . . . 10,791,780 1,328,484 879,990 102,131 45,048 301,315 9,463,296 7,754,055 1,244,394 35-39 years . . . . . . . . . . . . 10,951,099 1,107,376 695,076 114,486 54,313 243,501 9,843,723 8,179,225 1,229,869 40-44 years . . . . . . . . . . . . 9,851,416 860,573 534,558 84,524 37,865 203,626 8,990,843 7,567,522 1,041,341 45-49 years . . . . . . . . . . . . 8,472,709 642,933 395,439 66,350 35,143 146,001 7,829,776 6,714,254 799,865 50-54 years . . . . . . . . . . . . 6,510,211 460,474 268,781 64,902 26,641 100,150 6,049,737 5,241,592 589,922 55-59 years . . . . . . . . . . . . 5,243,725 356,245 207,394 37,720 34,963 76,168 4,887,480 4,231,003 478,799 60-64 years . . . . . . . . . . . . 4,656,801 292,546 174,331 33,902 27,778 56,535 4,364,255 3,819,584 408,331 65-69 years . . . . . . . . . . . . 4,453,305 240,855 139,365 19,085 31,018 51,387 4,212,450 3,722,238 377,203 70-74 years . . . . . . . . . . . . 3,780,240 176,596 98,650 18,121 27,892 31,933 3,603,644 3,242,236 272,714 75-79 years . . . . . . . . . . . . 2,680,830 102,125 51,452 6,232 21,487 22,954 2,578,705 2,337,566 188,359 80-84 years . . . . . . . . . . . . 1,584,091 59,655 37,819 3,391 5,150 13,295 1,524,436 1,391,899 101,425 85 years and over . . . . . . . . 1,010,075 42,556 20,250 5,992 10,156 6,158 967,519 871,867 77,869 Female All ages . . . . . . . . . . . . . 132,751,990 13,274,771 8,381,682 1,466,168 562,714 2,864,207 119,477,219 97,580,140 16,534,298 Under 1 year . . . . . . . . . . . 1,858,827 319,120 222,057 33,967 3,168 59,928 1,539,707 1,157,301 287,864 1-4 years . . . . . . . . . . . . . . 7,605,169 1,241,570 903,809 112,990 20,398 204,373 6,363,599 4,856,921 1,144,615 5-9 years . . . . . . . . . . . . . . 9,276,625 1,295,450 913,204 131,016 28,595 222,635 7,981,175 6,162,790 1,401,694 10-14 years . . . . . . . . . . . . 9,094,263 1,183,168 832,464 124,527 27,254 198,923 7,911,095 6,136,312 1,338,254 15-19 years . . . . . . . . . . . . 8,675,926 1,108,471 687,362 140,754 32,616 247,739 7,567,455 5,873,081 1,312,299 20-24 years . . . . . . . . . . . . 8,693,214 1,101,463 723,521 111,192 31,163 235,587 7,591,751 5,914,228 1,265,125 25-29 years . . . . . . . . . . . . 9,370,664 1,154,459 760,288 120,116 32,942 241,113 8,216,205 6,469,469 1,281,898 30-34 years . . . . . . . . . . . . 10,858,325 1,195,740 731,599 125,749 44,013 294,379 9,662,585 7,744,617 1,422,724 35-39 years . . . . . . . . . . . . 11,040,427 1,042,641 615,338 119,267 45,094 262,942 9,997,786 8,113,701 1,405,542 40-44 years . . . . . . . . . . . . 10,103,073 855,574 480,995 105,960 40,444 228,175 9,247,499 7,590,351 1,215,671 -49- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table I. Estimated population by 5-year age groups, specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, July 1, 1995 [Figures include Armed Forces stationed in the United States and exclude those stationed outside the United States] Hispanic Non-Hispanic Sex and age All origins Puerto Other Total Mexican Rican Cuban Hispanic 1 Total 2 White Black 45-49 years . . . . . . . . . . . . 8,747,892 664,556 355,913 92,441 46,676 169,526 8,083,336 6,760,956 965,975 50-54 years . . . . . . . . . . . . 6,920,072 497,974 287,917 64,586 23,066 122,405 6,422,098 5,436,959 728,934 55-59 years . . . . . . . . . . . . 5,681,662 402,015 224,773 60,591 25,592 91,059 5,279,647 4,474,430 610,124 60-64 years . . . . . . . . . . . . 5,242,395 340,408 184,356 42,276 37,451 76,325 4,901,987 4,189,014 541,981 65-69 years . . . . . . . . . . . . 5,359,043 299,713 165,579 26,644 32,863 74,627 5,059,330 4,404,934 507,213 70-74 years . . . . . . . . . . . . 4,922,719 226,572 120,567 22,165 28,744 55,096 4,696,147 4,178,334 403,731 75-79 years . . . . . . . . . . . . 3,902,975 152,057 69,213 12,044 30,381 40,419 3,750,918 3,377,245 305,502 80-84 years . . . . . . . . . . . . 2,823,924 107,484 58,483 12,310 14,808 21,883 2,716,440 2,469,860 206,150 85 years and over . . . . . . . . 2,574,795 86,336 44,244 7,573 17,446 17,073 2,488,459 2,269,637 189,002 1 Includes Central and South American and Other and unknown Hispanic. 2 Includes races other than white and black. -50- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table J. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1995 [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 15 years 15-17 18-19 20-24 25-29 30-34 35-39 40-44 45-49 status and over years years years years years years years years White, male Never married . . . . . 23,750,005 4,474,440 2,809,114 5,787,809 3,792,697 2,346,118 1,692,627 1,057,271 627,638 Married . . . . . . . . . . 51,250,071 17,889 75,290 1,445,577 3,661,405 5,893,078 6,543,111 6,326,628 5,730,011 Widowed . . . . . . . . . 2,104,997 1,189 315 - 5,229 15,259 24,800 36,068 50,687 Divorced . . . . . . . . . 6,425,431 9,449 2,509 90,457 336,578 807,768 1,021,478 1,040,588 962,156 White, female Never married . . . . . 18,192,353 4,173,426 2,483,742 4,458,856 2,373,723 1,426,763 901,826 616,717 417,743 Married . . . . . . . . . . 51,742,023 52,788 246,917 2,306,878 4,675,165 6,540,284 6,942,335 6,442,465 5,700,667 Widowed . . . . . . . . . 10,320,547 588 339 10,808 16,713 40,393 90,459 114,322 209,813 Divorced . . . . . . . . . 8,572,453 5,886 8,425 216,745 541,191 914,759 1,241,857 1,295,463 1,159,578 Black, male Never married . . . . . 5,217,613 869,069 547,531 1,165,762 810,062 620,472 477,994 286,672 154,253 Married . . . . . . . . . . 4,701,195 6,327 1,253 122,128 386,772 615,821 698,148 620,641 560,293 Widowed . . . . . . . . . 319,907 420 - - - 1,671 4,512 10,195 8,819 Divorced . . . . . . . . . 917,652 5,620 - 11,437 42,935 87,161 126,653 191,268 123,026 Black, female Never married . . . . . 5,138,791 840,458 528,317 1,129,588 805,603 620,945 460,771 267,489 183,942 Married . . . . . . . . . . 4,893,415 5,999 14,155 188,803 460,700 698,877 732,533 697,581 572,248 Widowed . . . . . . . . . 1,424,088 1,265 - 1,462 2,439 16,808 23,599 37,657 47,931 Divorced . . . . . . . . . 1,526,366 - 1,389 18,400 85,952 163,599 263,691 278,838 204,324 -51- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table J. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1995 [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 15 years 15-17 18-19 20-24 25-29 30-34 35-39 40-44 45-49 status and over years years years years years years years years American Indian, male Never married . . . . . 286,152 64,551 34,302 67,805 50,189 30,361 17,887 11,178 2,303 Married . . . . . . . . . . 376,812 - 2,311 26,325 35,866 47,744 50,088 47,904 49,245 Widowed . . . . . . . . . 23,787 - - - - 1,399 559 - 2,855 Divorced . . . . . . . . . 83,983 - - 470 7,022 13,541 18,767 16,288 6,367 American Indian, female Never married . . . . . 255,491 60,821 32,249 58,903 51,487 15,086 9,519 9,396 2,218 Married . . . . . . . . . . 371,103 1,275 2,517 28,290 29,671 57,865 66,221 50,887 41,817 Widowed . . . . . . . . . 78,422 1,170 1,494 - - 3,170 504 2,365 5,068 Divorced . . . . . . . . . 97,808 - - 3,121 5,986 16,756 13,529 17,535 15,035 Asian or Pacific Islander, male Never married . . . . . 1,271,962 212,391 128,562 339,586 261,374 149,950 81,197 49,431 19,571 Married . . . . . . . . . . 1,882,658 1,578 910 29,691 129,989 261,779 291,809 270,396 245,044 Widowed . . . . . . . . . 38,375 - - - 2,981 - - - 791 Divorced . . . . . . . . . 109,445 - - - 6,666 10,018 21,586 25,956 16,772 Asian or Pacific Islander, female Never married . . . . . 988,646 204,348 122,714 276,193 200,872 70,303 47,973 23,894 11,872 Married . . . . . . . . . . 2,231,482 1,695 5,462 92,109 219,864 354,566 361,861 341,791 267,472 Widowed . . . . . . . . . 257,286 1,686 - 2,175 - 5,650 5,244 2,915 14,143 Divorced . . . . . . . . . 179,343 - 384 2,752 6,216 19,832 15,786 29,008 35,191 -52- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table J. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1995 [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 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85 years status years years years years years years years and over White, male Never married . . . . . 303,354 216,138 165,215 170,503 138,637 70,242 53,787 44,415 Married . . . . . . . . . . 4,725,765 3,829,836 3,482,112 3,280,266 2,793,139 1,932,538 1,047,438 465,988 Widowed . . . . . . . . . 66,695 84,525 141,186 267,914 338,555 363,694 328,760 380,121 Divorced . . . . . . . . . 658,417 495,051 363,831 274,354 191,383 103,814 39,412 28,186 White, female Never married . . . . . 270,307 202,164 157,323 168,623 164,555 152,077 94,783 129,725 Married . . . . . . . . . . 4,522,863 3,581,871 3,199,446 2,874,328 2,332,948 1,402,859 635,805 284,404 Widowed . . . . . . . . . 281,180 416,694 662,822 1,286,623 1,664,854 1,844,560 1,767,488 1,912,891 Divorced . . . . . . . . . 896,684 714,500 551,687 403,262 294,140 169,022 101,682 57,572 Black, male Never married . . . . . 106,276 58,275 47,769 20,723 17,486 20,436 5,786 9,047 Married . . . . . . . . . . 388,332 358,855 280,399 254,459 190,307 112,829 60,007 44,624 Widowed . . . . . . . . . 12,310 14,624 39,342 76,454 44,445 48,051 33,766 25,298 Divorced . . . . . . . . . 112,813 67,882 57,782 41,722 28,235 13,130 7,752 236 Black, female Never married . . . . . 77,869 64,840 54,710 38,477 31,162 11,400 10,456 12,764 Married . . . . . . . . . . 413,236 353,999 274,069 213,925 148,331 74,521 31,111 13,327 Widowed . . . . . . . . . 92,370 123,976 158,261 193,880 196,599 208,224 157,003 162,614 Divorced . . . . . . . . . 177,782 95,449 76,124 80,777 40,219 21,376 12,290 6,156 -53- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table J. Estimated population for ages 15 years and over, by 5-year age groups, marital status, race, and sex: United States, 1995 [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 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85 years status years years years years years years years and over American Indian, male Never married . . . . . 1,720 3,289 1,712 - 855 - - - Married . . . . . . . . . . 37,235 24,960 19,752 15,595 10,821 3,417 2,203 3,346 Widowed . . . . . . . . . 977 1,006 646 1,582 2,378 6,793 4,133 1,459 Divorced . . . . . . . . . 4,974 4,922 4,977 4,132 2,523 - - - American Indian, female Never married . . . . . 5,068 3,147 784 1,814 837 4,162 - - Married . . . . . . . . . . 29,950 23,681 15,634 10,843 7,516 2,499 2,437 - Widowed . . . . . . . . . 9,711 5,138 7,907 10,522 7,228 6,377 7,590 10,178 Divorced . . . . . . . . . 3,811 6,074 6,621 2,297 5,242 1,741 60 - Asian or Pacific Islander, male Never married . . . . . 6,939 5,546 4,065 1,788 6,772 2,580 - 2,210 Married . . . . . . . . . . 182,835 141,898 112,177 85,898 60,604 34,521 23,859 9,670 Widowed . . . . . . . . . 1,250 1,863 2,121 8,333 8,020 8,334 2,407 2,275 Divorced . . . . . . . . . 11,935 8,571 3,727 2,105 2,109 - - - Asian or Pacific Islander, female Never married . . . . . 10,239 3,507 2,130 6,213 2,713 1,759 3,916 - Married . . . . . . . . . . 177,853 136,391 98,592 84,827 50,379 25,076 10,587 2,957 Widowed . . . . . . . . . 17,575 16,157 36,410 39,890 44,085 33,461 19,212 18,683 Divorced . . . . . . . . . 21,544 19,759 17,158 5,836 4,122 1,755 - - - Quantity zero. -54- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. 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: Total of 49 States and the District of Columbia, 1995 [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, 15 years 15-17 18-19 20-24 25-29 30-34 35-39 40-44 45-49 sex, and marital status and over years years years years years years years years Mexican, male Never married . . . . . . . 2,322,825 457,701 295,170 603,495 446,087 233,563 153,949 64,788 30,410 Married . . . . . . . . . . . . 3,297,451 4,766 14,340 250,615 459,330 572,445 480,813 417,848 313,727 Widowed . . . . . . . . . . . 97,547 - - - - 3,866 3,890 1,393 4,244 Divorced . . . . . . . . . . . 357,424 2,058 - 3,599 34,963 70,119 56,433 50,526 47,059 Mexican, female Never married . . . . . . . 1,527,024 397,750 222,502 338,783 213,449 135,568 79,024 43,925 26,901 Married . . . . . . . . . . . . 3,270,290 16,313 49,763 365,743 511,615 539,485 453,673 364,736 271,323 Widowed . . . . . . . . . . . 316,760 - 1,030 703 3,663 4,430 8,781 10,153 15,657 Divorced . . . . . . . . . . . 396,077 - - 18,291 31,561 52,118 73,856 62,180 42,029 Puerto Rican, male Never married . . . . . . . 352,630 81,264 46,075 72,249 47,956 35,726 29,008 14,880 9,564 Married . . . . . . . . . . . . 428,958 - 2,309 14,628 41,501 60,257 72,807 54,520 47,801 Widowed . . . . . . . . . . . 17,600 - - - - - - - - Divorced . . . . . . . . . . . 68,187 - - 2,016 2,540 6,150 12,670 15,123 8,986 Puerto Rican, female Never married . . . . . . . 381,157 88,517 44,689 75,968 45,798 34,808 26,400 21,252 15,225 Married . . . . . . . . . . . . 504,684 2,096 5,446 30,619 69,279 75,260 71,154 64,426 64,314 Widowed . . . . . . . . . . . 73,505 - - 1,126 - 829 2,050 3,108 3,193 Divorced . . . . . . . . . . . 104,311 - - 3,478 5,042 14,851 19,669 17,177 9,706 -55- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. 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: Total of 49 States and the District of Columbia, 1995 [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, 15 years 15-17 18-19 20-24 25-29 30-34 35-39 40-44 45-49 sex, and marital status and over years years years years years years years years Cuban, male Never married . . . . . . . 127,649 18,460 8,374 29,216 20,293 8,986 17,857 5,421 5,160 Married . . . . . . . . . . . . 275,402 - - 7,043 19,810 32,399 28,346 26,224 24,246 Widowed . . . . . . . . . . . 15,165 - - - - - - - 385 Divorced . . . . . . . . . . . 46,410 - - - 3,977 3,663 8,108 6,218 5,352 Cuban, female Never married . . . . . . . 85,168 20,684 11,199 15,642 5,958 6,385 2,857 1,122 3,595 Married . . . . . . . . . . . . 266,532 - 417 12,810 21,520 33,535 34,489 29,803 34,845 Widowed . . . . . . . . . . . 66,612 - 317 - - - - 3,275 2,459 Divorced . . . . . . . . . . . 64,993 - - 2,712 5,469 4,095 7,749 6,245 5,777 Other Hispanic, male Never married . . . . . . . 811,525 137,554 90,555 195,234 151,429 109,091 58,023 27,421 14,241 Married . . . . . . . . . . . . 1,052,273 786 2,493 46,322 104,886 177,503 170,945 151,462 118,370 Widowed . . . . . . . . . . . 20,520 - - - - - 699 - 474 Divorced . . . . . . . . . . . 108,327 204 - 2,880 7,283 14,720 13,827 24,744 12,916 Other Hispanic, female Never married . . . . . . . 652,747 138,608 96,065 150,142 87,517 55,678 33,588 28,225 14,084 Married . . . . . . . . . . . . 1,152,917 2,453 9,687 79,230 138,913 212,729 178,841 160,235 114,654 Widowed . . . . . . . . . . . 155,806 - - 162 403 1,748 5,534 2,190 8,844 Divorced . . . . . . . . . . . 216,890 647 283 6,056 14,284 24,226 44,980 37,525 31,949 -56- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. 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: Total of 49 States and the District of Columbia, 1995 [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, 15 years 15-17 18-19 20-24 25-29 30-34 35-39 40-44 45-49 sex, and marital status and over years years years years years years years years White non-Hispanic, male Never married . . . . . . . 20,245,460 3,791,468 2,364,743 4,921,513 3,171,758 1,966,046 1,449,787 945,579 569,893 Married . . . . . . . . . . . . 45,917,584 12,372 55,016 1,120,573 3,041,677 5,060,787 5,775,486 5,645,516 5,214,272 Widowed . . . . . . . . . . . 1,937,395 1,204 322 - 5,327 9,645 17,761 34,476 43,993 Divorced . . . . . . . . . . . 5,835,874 7,229 2,562 83,194 284,340 717,579 936,187 941,947 886,100 White non-Hispanic, female Never married . . . . . . . 15,651,617 3,536,170 2,107,657 3,914,191 2,042,535 1,212,558 768,114 528,100 360,996 Married . . . . . . . . . . . . 46,281,708 32,608 182,978 1,807,332 3,931,751 5,682,767 6,190,751 5,804,934 5,160,216 Widowed . . . . . . . . . . . 9,611,884 591 - 7,941 12,785 33,430 71,147 93,739 175,274 Divorced . . . . . . . . . . . 7,721,626 5,300 7,777 184,765 482,408 815,861 1,083,684 1,163,574 1,064,472 Black non-Hispanic, male Never married . . . . . . . 4,907,358 817,919 521,577 1,101,958 755,604 582,615 445,606 261,366 146,790 Married . . . . . . . . . . . . 4,455,660 6,205 974 107,570 363,817 577,442 660,156 588,671 529,153 Widowed . . . . . . . . . . . 311,121 412 - - - 1,592 4,363 9,892 8,517 Divorced . . . . . . . . . . . 869,940 5,513 - 11,270 41,157 82,747 119,748 181,415 115,406 Black non-Hispanic, female Never married . . . . . . . 4,873,265 791,914 500,438 1,066,678 763,932 590,471 442,735 250,464 178,356 Married . . . . . . . . . . . . 4,664,116 5,845 11,518 179,998 433,189 662,237 693,235 660,860 548,337 Widowed . . . . . . . . . . . 1,369,955 1,233 - 1,425 1,965 14,395 22,691 35,111 46,526 Divorced . . . . . . . . . . . 1,454,540 - 1,355 17,029 82,817 155,622 246,875 269,234 192,752 -57- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. 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: Total of 49 States and the District of Columbia, 1995 [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, 15 years 15-17 18-19 20-24 25-29 30-34 35-39 40-44 45-49 sex, and marital status and over years years years years years years years years Other non-Hispanic, male Never married . . . . . . . 1,396,459 244,585 142,916 358,637 278,624 168,659 90,900 55,942 21,431 Married . . . . . . . . . . . . 2,060,114 1,542 4,455 46,344 149,892 276,226 310,852 289,723 271,561 Widowed . . . . . . . . . . . 54,000 - - - 2,692 1,125 506 - 2,390 Divorced . . . . . . . . . . . 164,061 - - 802 11,413 18,839 32,374 36,315 20,277 Other non-Hispanic, female Never married . . . . . . . 1,110,439 232,766 138,648 297,934 228,728 74,581 53,086 33,765 10,519 Married . . . . . . . . . . . . 2,386,733 2,501 5,746 109,426 228,818 377,255 393,806 358,167 284,324 Widowed . . . . . . . . . . . 299,185 2,417 - 2,012 - 7,829 5,369 5,296 15,319 Divorced . . . . . . . . . . . 256,594 - - 3,027 7,286 35,580 26,281 44,247 46,243 -58- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. Estimated population for ages 15 years and over, by 5-Year age groups, marital status, race, and specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, 1995 [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 50-54 55-59 60-64 65-69 70-74 75-80 80-84 85 years non-Hispanic origin, years years years years years years years and over sex, and marital status Mexican, male Never married . . . . . . . 13,033 10,797 6,540 443 2,667 1,374 1,492 1,316 Married . . . . . . . . . . . . 215,691 169,838 152,478 112,339 72,136 27,478 23,277 10,330 Widowed . . . . . . . . . . . 7,435 4,208 5,330 13,565 19,613 15,628 10,942 7,433 Divorced . . . . . . . . . . . 32,620 22,558 9,984 13,017 4,240 6,971 2,108 1,169 Mexican, female Never married . . . . . . . 19,117 14,829 10,923 8,662 8,148 3,183 1,055 3,205 Married . . . . . . . . . . . . 216,305 166,481 117,679 106,910 47,547 18,006 17,154 7,557 Widowed . . . . . . . . . . . 15,002 20,289 35,002 38,568 47,286 43,767 39,766 32,663 Divorced . . . . . . . . . . . 37,490 23,179 20,754 11,442 17,590 4,259 510 818 Puerto Rican, male Never married . . . . . . . 9,601 3,105 1,444 1,290 468 - - - Married . . . . . . . . . . . . 44,131 29,314 27,958 12,638 12,511 4,286 2,867 1,430 Widowed . . . . . . . . . . . 1,271 387 2,324 2,872 4,523 1,138 524 4,561 Divorced . . . . . . . . . . . 9,901 4,914 2,175 2,285 618 809 - - Puerto Rican, female Never married . . . . . . . 8,350 6,204 3,501 5,241 986 2,055 888 1,275 Married . . . . . . . . . . . . 42,335 28,874 23,653 11,895 9,724 3,185 1,337 1,087 Widowed . . . . . . . . . . . 5,417 12,016 7,910 8,458 8,065 6,036 10,086 5,211 Divorced . . . . . . . . . . . 8,485 13,491 7,210 1,050 3,388 764 - - -59- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. Estimated population for ages 15 years and over, by 5-Year age groups, marital status, race, and specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, 1995 [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 50-54 55-59 60-64 65-69 70-74 75-80 80-84 85 years non-Hispanic origin, years years years years years years years and over sex, and marital status Cuban, male Never married . . . . . . . 2,241 5,367 405 1,585 1,659 1,410 - 1,215 Married . . . . . . . . . . . . 21,701 24,306 25,859 23,720 17,258 13,996 5,150 5,344 Widowed . . . . . . . . . . . - - 333 2,747 3,330 6,082 - 2,288 Divorced . . . . . . . . . . . 2,698 5,288 1,182 2,969 5,645 - - 1,310 Cuban, female Never married . . . . . . . 2,010 3,291 2,681 1,748 2,446 2,655 1,464 1,431 Married . . . . . . . . . . . . 14,709 16,049 29,335 17,843 8,711 6,557 3,474 2,435 Widowed . . . . . . . . . . . - 932 2,209 5,355 11,808 17,290 9,867 13,100 Divorced . . . . . . . . . . . 6,347 5,319 3,225 7,917 5,780 3,878 - 480 Other Hispanic, male Never married . . . . . . . 10,912 5,307 6,752 1,747 766 1,040 1,453 - Married . . . . . . . . . . . . 79,200 60,827 41,963 43,361 21,221 17,703 9,617 5,614 Widowed . . . . . . . . . . . - 4,920 2,232 3,653 5,533 1,998 466 545 Divorced . . . . . . . . . . . 10,043 5,112 5,589 2,624 4,414 2,212 1,759 - Other Hispanic, female Never married . . . . . . . 12,922 8,740 4,302 10,334 5,525 3,919 1,710 1,388 Married . . . . . . . . . . . . 86,550 56,533 48,604 33,638 15,819 8,468 4,930 1,633 Widowed . . . . . . . . . . . 8,132 10,369 15,231 23,716 26,283 24,842 14,301 14,051 Divorced . . . . . . . . . . . 14,797 15,418 8,189 6,937 7,471 3,188 940 - -60- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. Estimated population for ages 15 years and over, by 5-Year age groups, marital status, race, and specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, 1995 [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 50-54 55-59 60-64 65-69 70-74 75-80 80-84 85 years non-Hispanic origin, years years years years years years years and over sex, and marital status White non-Hispanic, male Never married . . . . . . . 265,431 191,875 150,639 165,098 132,961 66,643 50,033 41,993 Married . . . . . . . . . . . . 4,319,697 3,509,268 3,196,765 3,060,082 2,635,630 1,837,941 991,877 440,625 Widowed . . . . . . . . . . . 57,619 73,973 128,368 242,289 302,201 339,713 316,175 364,329 Divorced . . . . . . . . . . . 598,845 455,883 343,804 254,767 171,442 93,266 33,805 24,924 White non-Hispanic, female Never married . . . . . . . 230,024 170,109 135,542 144,467 149,188 141,215 87,966 122,785 Married . . . . . . . . . . . . 4,129,325 3,286,163 2,950,324 2,684,533 2,215,955 1,344,292 606,109 271,670 Widowed . . . . . . . . . . . 252,262 372,870 602,457 1,201,982 1,555,852 1,735,208 1,677,545 1,818,801 Divorced . . . . . . . . . . . 825,342 645,286 500,702 373,951 257,351 156,523 98,240 56,390 Black non-Hispanic, male Never married . . . . . . . 100,207 55,756 46,579 19,504 17,247 20,022 5,714 8,894 Married . . . . . . . . . . . . 368,346 342,800 268,571 245,912 185,192 108,401 58,578 43,872 Widowed . . . . . . . . . . . 12,048 14,311 37,299 74,146 43,243 47,074 33,353 24,871 Divorced . . . . . . . . . . . 109,319 65,935 55,880 37,643 27,031 12,865 3,779 232 Black non-Hispanic, female Never married . . . . . . . 75,195 62,307 52,547 35,516 29,585 10,524 10,295 12,308 Married . . . . . . . . . . . . 394,359 341,342 266,416 207,257 143,074 73,496 29,678 13,275 Widowed . . . . . . . . . . . 90,194 115,516 149,294 188,306 191,525 200,401 154,083 157,290 Divorced . . . . . . . . . . . 169,182 90,957 73,729 76,135 39,544 21,079 12,100 6,130 -61- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table K. Estimated population for ages 15 years and over, by 5-Year age groups, marital status, race, and specified Hispanic origin, race for non-Hispanic origin, and sex: Total of 49 States and the District of Columbia, 1995 [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 50-54 55-59 60-64 65-69 70-74 75-80 80-84 85 years non-Hispanic origin, years years years years years years years and over sex, and marital status Other non-Hispanic, male Never married . . . . . . . 7,512 8,008 5,454 1,658 7,442 2,509 - 2,182 Married . . . . . . . . . . . . 191,294 156,044 122,064 97,199 68,446 36,116 26,798 11,558 Widowed . . . . . . . . . . . 2,184 2,605 2,662 9,124 8,203 14,155 4,310 4,044 Divorced . . . . . . . . . . . 17,234 11,023 6,158 5,026 4,600 - - - Other non-Hispanic, female Never married . . . . . . . 12,222 6,151 2,817 6,373 3,231 5,685 3,933 - Married . . . . . . . . . . . . 193,559 142,152 104,518 91,834 51,740 27,468 11,553 3,866 Widowed . . . . . . . . . . . 24,677 20,167 37,256 42,250 52,450 33,290 24,900 25,953 Divorced . . . . . . . . . . . 25,751 26,619 26,401 6,722 6,664 1,729 44 - - Quantity zero -62- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table L. 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 0.9629 0.9677 0.9685 0.9669 0.9160 0.9139 0.9182 Under 1 year . . . . . . . . . . . . . . 0.9686 0.9684 0.9689 0.9730 0.9734 0.9725 0.9239 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 0.9768 0.9753 0.9740 0.9750 0.9730 0.9410 0.9402 0.9418 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 1.0073 1.0032 1.0053 1.0010 0.9789 0.9723 0.9855 15-19 years . . . . . . . . . . . . . . . 1.0166 1.0198 1.0133 1.0094 1.0128 1.0059 0.9988 1.0016 0.9959 20-24 years . . . . . . . . . . . . . . . 1.0002 0.9987 1.0017 0.9975 0.9985 0.9966 0.9593 0.9432 0.9753 25-34 years . . . . . . . . . . . . . . . . 0.9639 0.9463 0.9821 0.9614 0.9480 0.9755 0.9126 0.8666 0.9580 25-29 years . . . . . . . . . . . . . . . 0.9591 0.9439 0.9748 0.9558 0.9441 0.9681 0.9123 0.8732 0.9510 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 0.9689 0.9996 0.9816 0.9700 0.9935 0.9350 0.8867 0.9810 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 0.9628 0.9929 0.9772 0.9649 0.9894 0.9322 0.8805 0.9799 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 55-64 years . . . . . . . . . . . . . . . . 0.9824 0.9640 0.9995 0.9828 0.9684 0.9962 0.9545 0.8875 1.0138 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 -63- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table L. 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 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. -64- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table M. 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"] Malignant neoplasms, Race, sex, Human including neoplasms Diseases Homicide and adjustment immunodeficiency of lymphatic and Diabetes of heart Cerebrovascular and legal for net census All virus infection hematopoietic mellitus (390-398,402, diseases intervention undercount causes (*042-*044) tissues (140-208) (250) 404-429) (430-438) (E960-E978) All races Both sexes: Unadjusted . . . . . 520.2 9.8 135.0 11.7 152.0 27.7 10.2 Adjusted . . . . . . . 512.7 9.6 133.3 11.5 149.9 27.3 10.1 Male: Unadjusted . . . . . 680.2 17.7 166.3 12.3 206.7 30.2 16.3 Adjusted . . . . . . . 664.3 17.0 162.4 12.1 202.1 29.6 15.9 Female: Unadjusted . . . . . 390.6 2.1 112.7 11.1 108.9 25.7 4.2 Adjusted . . . . . . . 387.9 2.1 112.6 11.0 107.9 25.4 4.2 White Both sexes: Unadjusted . . . . . 492.8 8.0 131.5 10.4 146.9 25.5 5.9 Adjusted . . . . . . . 485.9 7.8 129.9 10.2 145.0 25.2 5.7 Male: Unadjusted . . . . . 644.3 15.0 160.3 11.3 202.0 27.7 8.9 Adjusted . . . . . . . 631.0 14.4 156.9 11.1 198.2 27.3 8.7 Female: Unadjusted . . . . . 369.9 1.1 111.2 9.5 103.1 23.8 2.8 Adjusted . . . . . . . 367.0 1.0 110.8 9.5 102.2 23.5 2.7 Black Both sexes: Unadjusted . . . . . 789.2 25.7 182.0 24.8 213.5 48.4 39.5 Adjusted . . . . . . . 760.0 23.9 177.0 24.1 207.2 46.9 37.4 Male: Unadjusted . . . . . 1,061.3 44.2 248.1 23.6 275.9 56.1 68.7 Adjusted . . . . . . . 980.8 39.0 230.9 21.9 256.7 52.3 62.9 Female: Unadjusted . . . . . 581.6 9.9 137.2 25.4 168.1 42.7 13.0 Adjusted . . . . . . . 579.4 9.7 138.4 25.7 168.2 42.7 12.7 -65- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table N. 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 Dadj D L(1- a =.96,D) U(1- a =.96,D) or L(1- a=.95,D) U(1- a =.95,D) or or Dadj L(1- a =.96,Dadj) U(1- a =.96,Dadj) 1 0.02532 5.57164 0.02020 5.83392 2 0.12110 3.61234 0.10735 3.75830 3 0.20622 2.92242 0.18907 3.02804 4 0.27247 2.56040 0.25406 2.64510 5 0.32470 2.33367 0.30591 2.40540 6 0.36698 2.17658 0.34819 2.23940 7 0.40205 2.06038 0.38344 2.11666 8 0.43173 1.97040 0.41339 2.02164 9 0.45726 1.89831 0.43923 1.94553 10 0.47954 1.83904 0.46183 1.88297 11 0.49920 1.78928 0.48182 1.83047 12 0.51671 1.74680 0.49966 1.78566 13 0.53246 1.71003 0.51571 1.74688 14 0.54671 1.67783 0.53027 1.71292 15 0.55969 1.64935 0.54354 1.68289 16 0.57159 1.62394 0.55571 1.65610 17 0.58254 1.60110 0.56692 1.63203 18 0.59266 1.58043 0.57730 1.61024 19 0.60207 1.56162 0.58695 1.59042 20 0.61083 1.54442 0.59594 1.57230 21 0.61902 1.52861 0.60435 1.55563 22 0.62669 1.51401 0.61224 1.54026 23 0.63391 1.50049 0.61966 1.52602 24 0.64072 1.48792 0.62666 1.51278 25 0.64715 1.47620 0.63328 1.50043 26 0.65323 1.46523 0.63954 1.48888 -66- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table N. 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 Dadj D L(1- a =.96,D) U(1- a =.96,D) or L(1- a=.95,D) U(1- a =.95,D) or or Dadj L(1- a =.96,Dadj) U(1- a =.96,Dadj) 27 0.65901 1.45495 0.64549 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 -67- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table N. 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 Dadj D L(1- a =.96,D) U(1- a =.96,D) or L(1- a=.95,D) U(1- a =.95,D) or or Dadj L(1- a =.96,Dadj) U(1- a =.96,Dadj) 53 0.74907 1.30802 0.73851 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 -68- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 TECHNICAL APPENDIX Table N. 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 Dadj D L(1- a =.96,D) U(1- a =.96,D) or L(1- a=.95,D) U(1- a =.95,D) or or Dadj L(1- a =.96,Dadj) U(1- a =.96,Dadj) 79 0.79171 1.24630 0.78272 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 NOTE: Table N was generated using the SASŪ code below. Users can compute other level Confidence Intervals by changing the alpha-value. Table N is a modified version of Table 40 (52). -69- VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 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; -70- 1998 ADDENDUM TO "TECHNICAL APPENDIX" OF VITAL STATISTICS OF THE UNITED STATES: MORTALITY, 1995 To assist the users of the mortality public-use data tapes and CD-ROMS, attached is a copy of the "Technical Appendix" of the Vital Statistics of the United States: Mortality, 1995. This technical appendix provides certain qualifications that are essential to using, analyzing, and interpreting the data in those tapes and CD-ROMS. Certain modifications to the technical appendix are essential to make it applicable to the mortality file for the 1998 data year. Those modifications include the following: I. Sources of data State-coded medical data 1996 Utah 1998 Tennessee For 1998, of the States in the VSCP, 43 States submitted precoded medical data for all death certificates in the form of electronic data files. Of these 43 States, Maine and Montana contracted with a private company to provide NCHS with precoded medical data. The remaining seven VSCP States, New York City, and the District of Columbia submitted copies of the original certificates from which NCHS coded the medical data. For 1998, approximately 36 percent of the Nation's death records were multiple-cause coded using SuperMICAR and 64 percent using MICAR. This represents data from 25 States which were coded by SuperMICAR and data from 25 States, the District of Columbia, and New York City which were coded by MICAR. All States submitted precoded demographic data for all death certificates in the form of electronic data files in 1998. Data for Puerto Rico, the Virgin Islands, and Guam have been included in the mortality public- use data files since 1994. Data for American Samoa have been included since 1997. Data for the Commonwealth of the Northern Mariana Islands (Northern Marianas) are included for the first time for 1998. -1- II. Classification of data A. Race 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." B. Hispanic origin Beginning with the 1997 data year, data by Hispanic origin include all 50 States and the District of Columbia . Infant mortality--Infant mortality data by Hispanic origin are based on deaths to residents of the entire United States. Infant mortality rates by Hispanic origin are biased because of inconsistencies in reporting Hispanic or ethnic origin between the birth and death certificates for the same infant. Estimates of reporting bias may be made by comparing rates based on the linked file of infant deaths and live births 1 with those where the Hispanic or ethnic origin of infant death is based on information from the death certificate 2. Infant mortality rates by Hispanic origin are less subject to reporting bias when based on linked files of infant deaths and live births 1. C. Educational attainment Deaths by educational attainment have been included in the public-use data files since 1989. It is recommended for 1998 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 in the file, they would be excluded from analyses because more than 20 percent of their death certificates were classified to "unknown educational attainment." Data for Georgia, -2- Rhode Island, and South Dakota were excluded from the file 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. Computation of the relative standard errors, 95-percent confidence intervals, and statistical tests are discussed in the Technical notes of the National Vital Statistics Report 2. Death rates for educational attainment may be biased for the following three reasons: 1) because of inconsistencies in reporting between the death certificates and the CPS for decedents; 2) because of a change in the basic item used to collect data about education in the CPS; and 3) because of possible under-enumeration of the population estimates (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 3. 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 4, 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 -3- 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 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. D. Occupation and industry For 1998, the occupation and industry mortality data were included for the following 20 reporting States: Colorado New Jersey Georgia New Mexico Hawaii North Carolina Idaho Ohio Indiana Rhode Island Kansas South Carolina Kentucky Utah Maine Vermont Nevada West Virginia New Hampshire Wisconsin III. Population bases for computing rates The population used for computing death rates (furnished by the U.S. Bureau of the Census) represents the population residing in the specified area. Population estimates used for computing rates by age, sex, race, Hispanic origin, and race for non-Hispanic origin for the United States for 1998 are based on population estimates as of July 1, 1998 8 (available upon request). The estimates are based on demographic analysis and, therefore, are not subject to sampling variability. -4- Population estimates used for computing death rates for specified Hispanic origin by age and sex for the United States are as of July 1, 1998 9 (available upon request). The estimates for Mexicans, Puerto Ricans, Cubans, and Other Hispanics are based on the CPS adjusted to resident population control totals and, therefore, are subject to sampling error (see Technical Appendix from Vital Statistics of the United States: Mortality, 1995). Population estimates used for computing death rates for marital status by age, race, and sex for the United States are as of July 1, 1998 9 and are available upon request. Population estimates used for computing death rates for marital status by age, Hispanic origin, race for non-Hispanic origin, and sex for the United States are as of July 1, 1998 9 and are also available upon request. The population estimates for never married, married, widowed, and divorced are based on the CPS adjusted to resident population control totals and, therefore, are subject to sampling error (see Technical Appendix from Vital Statistics of the United States: Mortality, 1995). Population estimates used for computing death rates for educational attainment by age and sex for the total of 46 States and the District of Columbia are as of July 1, 1998 9 and are presented in table IV of the Technical notes of the "Report of Final Mortality Statistics" 2. These estimates are based on the CPS adjusted to resident population control for the 46 States and the District of Columbia. Population estimates for each State, Puerto Rico, Virgin Islands, Guam, American Samoa, and Northern Marianas 10-15 are presented in table V of the Technical notes of the "Report of Final Mortality Statistics" 2. These estimates are based on demographic analysis, and therefore, are not subject to sampling variability. All population estimates for 1998 are based on the 1990 census level counts that were modified by age, race, and sex to be consistent with the U.S. Office of Management and Budget categories and historical categories for death data 16. References 1. MacDorman MF, Atkinson JO. Infant mortality statistics from the 1997 period linked birth/infant death data set. National vital statistics reports; vol 47 no 23, supp. Hyattsville, Maryland: National Center for Health Statistics. 1999. 2. Murphy SL. Deaths: Final data for 1998. National vital statistics reports; in press. Hyattsville, Maryland: National Center for Health Statistics. 3. Sorlie PD, Johnson NJ. Validity of education information on the death certificate. Epidemiology 7(4): 437-439. 1996. -5- 4. Kominski R, Adams A. Educational attainment in the United States: March 1993 and 1992. U.S. Bureau of the Census. Current Population Reports: Series P20-476. Washington: U.S. Government Printing Office. 1994. 5. National Center for Health Statistics. Vital statistics, instructions for classifying the underlying cause of death. NCHS instruction manual; part 2a. Hyattsville, Maryland: Public Health Service. Published annually. 6. National Center for Health Statistics. Vital statistics, instructions for classifying multiple causes of death. NCHS instruction manual; part 2b. Hyattsville, Maryland: Public Health Service. Published annually. 7. National Center for Health Statistics. Vital statistics, nonindexed terms, standard abbreviations, and State geographic codes used in mortality data classification. NCHS instruction manual; part 2e. Hyattsville, Maryland: Public Health Service. Published annually. 8. U.S. Bureau of the Census. Unpublished census file NESTV98. Consistent with populations published in: U.S. population estimates, by age, sex, race, and Hispanic origin: 1990 to 1998. Washington, DC. 1999. 9. U.S. Bureau of the Census. Population estimates for 1998 based on unpublished tabulations prepared by the Housing and Household Economics Statistics Division. 10. U.S. Bureau of the Census. Population estimates for the U.S. and states by single year of age and sex: July 1, 1998. Unpublished census file STRES981.txt. Washington, DC. 1999. 11. U.S. Bureau of the Census. Unpublished Census file PR98SYA.WK1. 12. U.S. Bureau of the Census. Unpublished Census file USVI.WK1. 13. U.S. Bureau of the Census. Unpublished Census file GUAM.WK1. 14. U.S. Bureau of the Census. Unpublished Census file ASAMOA.WK1. 15. U.S. Bureau of the Census. Unpublished Census file CNMI.WK1. 16. U.S. Bureau of the Census: Unpublished data from the 1990 census, by age, sex, race and Hispanic origin. 1990. -6-