National

> Longitudinal
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> Mortality
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Extract Files

Reference Manual, Version 2

Mortality Follow-up 1979-1998

February 1, 2007

**Index And Record Format For The NLMS Extract Files**

**Document Complete As Of February 1, 2007**

VARIABLE LABEL PAGE LOCATION SIZE EDIT DESCRIPTION

[CONTROL NUMBER](#CCNUM) CCNUM 13 10 NDI/CPS Control Number

[URBAN](#URB) URB 14 1 RE Urban (1) Or Rural (2)

[SMSA STATUS](#SMSAST) SMSAST 16 1 SE SMSA Central City (1), SMSA Not
Central City (2) Not SMSA (3)

[LAND USE](#LAND) LAND 18 1 Land Use Urban, Rural Farm, Rural Nonfarm
(1-5)

[VETERANS STATUS](#VTSTAT) VTSTAT 20 1 SE, IE Veterans Status (Codes
1-6, Blank)

[COUNTY CODE](#COUNTY) COUNTY 22 3 County Code

[TYPE OF LIVING](#LIVTYP) LIVTYP 23 2 RE Type Of Living Quarters

[REL TO REFERENCE](#RELTRF) RELTRF 27 1 SE, IE Relation Of Respondent To
Reference Person

[REL TO HH HEAD](#RELTHD) RELTHD 31 1 SE Relation Of Respondent To Head
Of Household

[NUMBER IN HOUSEHOLD](#HHNUM) HHNUM 34 2 SE Number Of Persons In
Household

[HOUSEHOLD ID](#HHID) HHID 39 5 Household Identification Number

[ADJUSTED INCOME](#FMINC80) FMINC80 40 1 SE Family Income Adjusted For
Inflation (1980 \$)

[EXPOSURE FACTOR](#FACTOR) FACTOR 43 4 IE Exposure Time To NDI In Years
(X 100)

[DIVISION](#DIV) DIV 45 1 SE 1970 Geographical Divisions

[STATE](#STATE) STATE 48 1 SE States Within 1970 Divisions

[SMSA RANK](#SMSAR) SMSAR 49 2 SE, IE 1970 SMSA Ranks (1-98), \>= 99
(99), Not SMSA (Blank)

[MIGRATION](#MIGRAT) MIGRAT 52 2 SE Migration Within Five Year Period

[INDUSTRY](#IND) IND1990 56 3 SE, IE Industrial Classification Using
1990 Codes

[MAJOR INDUSTRY](#MAJIND) MAJIND90 59 2 SE Major Industry Classification
Using 1990 Codes

[OCCUPATION](#OCC) OCC1990 63 3 SE, IE Occupational Classification Using
1990 Codes

[MAJOR OCCUPATION](#majocc) MAJOCC90 65 2 SE Major Occupation
Classification Using 1990 Codes

[EMPLOYMENT STATUS](#ESR) ESR 69 1 SE Employment Status Recode (1-7)

[AGE](#AGE) AGE 72 2 SE, RE Age In Years From CPS Record Then From
Control File

[CENTURY](#CENT) CENT 74 1 Century Of Birth From Control File

[YEAR OF BIRTH](#YOB) YOB 75 2 IE Year Of Birth From Control File

[PLACE OF BIRTH](#POB) POB 77 2 SE Place Of Birth From Control File

[HISPANIC ORIGIN](#HISP) HISP 80 1 SE Hispanic Origin

[ETHNIC ORIGIN](#ORIGIN) ORIGIN 83 2 RE Ethnic Origin Or Descent

[RACE](#RACE) RACE 88 1 SE Race From CPS Record Then From Control File

[RACE RECODE](#RACER) RACER 91 1 SE Recode (White=1, Black=2, Other=3)

[SEX](#SEX) SEX 93 1 SE Sex From CPS Then From Control File (Male=1,
Female=2)

[SEXC](#SEXC) SEXC 95 1 SE Sex From Control File (Male=1, Female=2)

[MARITAL STATUS](#MS) MS 96 1 RE Marital Status

[EDUCATION](#EDUC) EDUC 100 2 RE Highest Grade Attended (Code: 00, 01,
02, Etc.)

[EDUCATION COMPLETED](#EDUCC) EDUCC 105 1 Completed Highest Grade
Attended (Yes=1, No=2)

[MATCH STATUS](#IND1) IND1 107 1 Match Status For Record In 83 Match

[DEATH INDICATOR](#IND2) IND2 108 1 Death Indicator For Record In 83
Match

[DATE OF DEATH](#DOD) DOD 109 6 Date Of Death (MODAYR)

[UNDERLYING CAUSE](#cause-of-death-cause) CAUSE 122 4 Underlying Cause
Of Death

[STATE OF DEATH](#SOD) SOD 124 2 State Of Death

[DEATH CERT NUMBER](#DCNUM) DCNUM 125 6 Death Certificate Number

[FAMILY INCOME IN \$](#FMINCOME) FMINCOME 127 8 Family Income In Current
Dollars (Not Adjusted)

[MONTH OF BIRTH](#MOB) MOB 128 2 SE, IE Month Of Birth (From
Control-File)

[SSN PRESENT](#SSNYN) SSNYN 133 1 SSN Present Or Not On NDI File (1=Yes,
O=No)

[HOSPITAL](#HOSP) HOSP 135 1 Type Of Hospital

[HOSPITAL DEATH?](#HOSPD) HOSPD 137 1 Was Death In A Hospital?

[INTERVAL](#INTERV) INTERV 139 1 Interval Between Onset And Immediate
Cause Of Death

[PSU](#PSU) (DO) PSU 141 4 PSU For CPS (114-116), \"DO\" For Census

[SEGMENT](#SEG) (ED) SEG 141 4 Segment For CPS (117-120), \"ED\" For
Census

[SERIAL \#](#SERN) (CN) SERN 141 4 Serial \# For CPS (123-124), Control
\# For Census

[FILE CODE](#FILE) FILE 142 2 Code For Specific Master File

[RACE EXTENDED](#RACEX) RACEX 143 1 SE Race \-- Expanded To Include Am
Indian (3) And Asian (4)

[85 MATCH STATUS](#IND185) IND185 145 1 Match Status Of Record In 1985
Match

[85 DEATH INDICATOR](#ind285) IND285 146 1 Death Indicator For Record In
1985 Match

[87 DEATH INDICATOR](#IND287) IND287 147 1 Death Indicator For Record In
1987 Match

[89 DEATH INDICATOR](#IND289) IND289 148 1 Death Indicator For Record In
1989 Match

[91 DEATH INDICATOR](#IND291) IND291 149 1 Death Indicator For Record In
1991 Match 0=Fail Edit,

> 1=Fail Edit (Death Before Survey Date, Etc.) 2=Death, 3=Alive,
> 4=Earlier Of Several Files

[01 DEATH INDICATOR](#IND201) IND201 150 1 Death Indicator For Record In
2001 Match 0=Fail Edit,

> 1=Fail Edit (Death Before Survey Date, Etc.) 2=Death, 3=Alive,
> 4=Earlier Of Several Files

[FAMILY INCOME CATEGORY](#FMINC90) FMINC90 152 1 Family Income in 1990
\$, by Category

[FAMILY INCOME CATEGORY](#FINC8090) FINC8090 155 1 Family Income in 1980
\$ Inflated to 1990 \$ and Categorized

[ADJUSTED INCOME IN 90 \$](#DOLINC90) DOLINC90 158 8 Family Income
Adjusted to 1990 \$

[PERCENT OF POVERTY LEVEL](#POVPCT90) POVPCT90 159 2 Percent of Poverty
Level in 1990 \$

[MATCH KEY](#MATCHKEY) MATCHKEY 164 1 SSN Collection Month

[START DATE](#START) START 167 10 Start Date for Follow-up when smoking
is involved

[ASIAN, PACIFIC ISLANDER](#CATIAPI) CATIAPI 169 2 Asian or Pacific
Islander, 10 categories

[ORIGINAL EDUCATION](#EDUCORIG) EDUCORIG 171 2 Original education
obtained at the time of survey

[CLASS OF WORKER](#CLASSWKR) CLASSWKR 175 2 Detailed Class of Worker
Variable

[CLASS OF WORKER, Recode](#RCOW1) RCOW1 179 1 Recode of Class of Worker
to single digit levels

[SEX FINAL](#SEXF) SEXF 182 1 Sex determined from multiple sources

[HEALTH INSURANCE STATUS](#HISTATUS) HISTATUS 184 1 Y/N health insurance
indicator

[HEALTH INSURANCE TYPE](#HITYPE) HITYPE 186 1 Broad categories of health
insurance coverage in past year

[GENERAL HEALTH](#HEALTH) HEALTH 188 2 What would you say is
\[person's\] general health?

[COHORT WEIGHTS](#WGT1) WGT1 189 12 Case Weight (Race Variable Used)

WGT2 12 Case Weight (Race Variable Used, EOTF Included)

WGT3 12 Case Weight (Race Not Used)

WGT4 12 Case Weight (Race Not Used, EOTF Included)

[SMOKED \>= 100 CIGS](#SMOK100) SMOK100 193 1 Smoked \>= 100 Cigarettes
in Lifetime?

[AGE STARTED SMOKING](#AGESMK) AGESMK 194 2 Age Started Smoking

[SMOKE DAILY, SOME, NEVER](#SMOKER) SMOKER 196 2 Smoke Daily, Sometimes,
Never?

[AVG CIGARETTES DAILY](#AVNMCIGS) AVNMCIGS 197 2 Average Number of
Cigarettes Smoked Daily

[SMOKING FILE START](#SMKFLSTR) SMKFLSTR 199 1 Smoking Start (File)

[SMOKING START DT](#SMKSTART) SMKSTART 200 1 Smoking Variables Followup
Start Date

[PSU TYPE](#PSUTYPE) PSUTYPE 200 1 Type of PSU, 1=self-representing,
2=non self-representing

[HOUSE OWNED OR RENTED](#RENTER) RENTER 202 1 Indentifies house
ownership status

[VALIDATED SSN](#VALIDSSN) VALIDSSN 204 1 Indicator of validated SSN

**Index and Record Format for the NLMS Extract Files**

**Supplementary September 1985 File Variables Only**

**\# Variable Label Page Location Size Description**

87 [Diabetes](#DIABET) DIABET 218 1 Is Person Diabetic RESP:A

88 [Chronic Kidney](#KIDNEY) KIDNEY 206 1 Has Chronic Kidney RESP:A

Disease Disease

89 [Asthma/Bronchitis](#ASTHMA) ASTHMA 206 1 Have Asthma Emphysema,
RESP:A

Tuberculosis, Bronchitis

90 [Chronic Heart](#HRTCND) HRTCND 206 1 Have A Chronic Heart RESP:A

Disease Condition

91 [Had Influenza](#INFVAC) INFVAC 207 1 Had Influenza Vaccine RESP:A

Vaccine

92 [Pneumonia Vaccine](#PNUVAC) PNUVAC 207 1 Had Pneumonia Vaccine
RESP:A

93 [Pneumonia Vaccine](#PNU12) PNU12 207 1 Had Pneumonia Vaccine RESP:A

12 Mo In Past 12 Months

94 [Polio Vaccine](#POLVAC) POLVAC 208 1 Taken Polio Vaccine By Mouth
RESP:A

By Mouth

95 [Times Polio](#NPLVAC) NPLVAC 208 Times Polio Vaccine Taken By

Vaccine Mouth

96 [Polio Vaccine](#NPOL12) NPOL12 208 Times Polio Vaccine Taken

12 Months By Mouth In Past 12 Mo

97 [DTP Shots](#DTPSHT) DPTSHT 209 1 Had Diphtheria, Tetanus, RESP:A

Whooping Cough Shots

98 [Number Of DPT](#NDPSHT) NDPSHT 209 1 How Many DPT Shots

Shots

99 [Red Measles 12](#RME12) RME12 209 1 Had Red Measles RESP:A

Months In The Past 12 Mo

100 [Red Measles Shots](#RMESHT) RMESHT 210 1 Ever Had Red Measles Shots
RESP:A

101 [Red Measles Shots](#RMES12) RMES12 210 1 Had Red Measles Shots
RESP:A

12 Mo In Past 12 Mo

102 [Three Day Measles](#ME312) ME312 210 1 Had Three Day Measles RESP:A

(Rubella)In Past 12 Mo

103 [Three Day Measles](#ME3SHT) ME3SHT 211 1 Had Three Day Measles
Shots RESP:A

Shots

104 ...[Past 12 Months](#ME3S12) ME3S12 211 1 Had Three Day Measles
Shots RESP:A

In Past 12 Mo

105 [Chicken Pox 12](#CPX12) CPX12 211 1 Had Chicken Pox Past 12 Mo
RESP:A

Months

106 [Mumps Shots](#MUMSHT) MUMSHT 211 1 Had Mumps Shots RESP:A

107 [Mumps Shots 12](#MUMS12) MUMS12 212 1 Had Mumps Shots RESP:A

Months In Past 12 Mo

108 [Children Age Check](#AGECK0) AGECK0 212 1 Age Check Item For
Children RESP=

> 1=0-5

2=6-13

blank - missing

109 [Day Care](#DAYCAR) DAYCAR 212 1 Enrolled In Day Care Program RESP:A

110 [Adult Age Check](#AGECK1) AGECK1 213 1 Age Check For Adults RESP=

> 1=16+

2=ALL OTHERS

111 [Smoked \>= 100](#SMK10085) SMK10085 213 1 Smoked At Least 100
RESP:A

Cigarettes 8509 Cigarettes\--8509

112 [Age First Smoked](#AGESMK85) AGESMK85 213 2 Age First Started
Smoking---8509 File

8509 File

113 [Never Smoked](#SMKCAT) SMKCAT 213 1 Never Smoked Regularly
RESP=1=NEVER

Regularly 2=DONT KNOW

114 [Smoke Cigarettes](#SMKNOW) SMKNOW 214 1 Smoke Cigarettes Now RESP:A

Now

115 [Smoke Other](#OTHTOB) OTHTOB 214 1 Use Other Forms Of Tobacco
RESP:A

Tobacco

116 [Used Snuff](#SNUFF) SNUFF 214 1 Used Snuff RESP: 1=SNUFF

ELSE = NO

117 [Used Chewing](#CHEWTB) CHEWTB 215 1 Used Chewing Tobacco RESP:
1=CHEW TOB

Tobacco ELSE = NO

118 [Smoked Cigars](#CIGARS) CIGARS 215 1 Smoke Cigars RESP: 1=CIGARS

ELSE = NO

119 [Smoked Pipe](#PIPETB) PIPETB 215 1 Smoke Pipe RESP: 1= PIPE

Tobacco ELSE = NO

120 [Other Form Of](#OTHFRM) OTHFRM 216 1 Use Other Forms Of RESP- 1=
OTHER

Tobacco Tobacco ELSE = NO

121 [Interviewer Check](#INTVCK) INTVCK 216 1 Who Gives Information
RESP:

> 1=HIM/HERSELF

2=OTHER ETC

122 [Young Age Check](#AGECK2) AGECK2 216 1 Age Check For Persons 0-19
RESP:

> 1=0-19

2=ALL OTHER

123 [Check](#IMMREC) IMMREC 216 1 Consulted Immunization Record RESP:
1=YES

Immmunization 2=NC ETC

Record

124 [Supplement](#SUPRES) SUPRES 217 1 Who Answered Supplement
RESP:1=PARENT

Respondent Questions 2 = NC ETC

RESP: A==\> 1 - YES, 2 - NO, 3 - DON\'T KNOW, 9 - NOT ANSWERED, blank -
MISSING

**Variable Reference Manual**

**For**

**National Longitudinal Mortality Study**

**Extract Files**

Documentation Date: February 1, 2007

This documentation identifies variables selected from National

Longitudinal Mortality Study (NLMS) master files for use in study
analy­sis files. The variables documented in this manual were selected by
study sponsors, the [National Heart, Lung, and Blood
Institute](http://www.nhlbi.nih.gov/), the [National Cancer
Institute](http://www.nci.nih.gov/), the [National Institute on
Aging](http://www.nia.nih.gov/), and the [National Center for Health
Statistics](http://www.cdc.gov/nchs/), to be of immediate inter­est as
the primary focus of scientific and public health research and their
importance in a wide variety of study publications.

**Description Of The NLMS File Structure**

The complete database of all NLMS variables available for analysis is
stored on files called \"Master Files,\" one file for each NLMS cohort.
The data available in each cohort master file varies in content
depending on the interests of the original sponsor of the file. Each
master files has its own format and each contains both edited and
unedited data. Because of the difficulty in using variable format files
and because definitions of variables change over time, the NLMS has
developed two other levels of files for analysis purposes, called,
"Extract" and "Analysis" files. Extract Files are ASCII, fixed format
files, which contain a specifically defined, sponsor selected, set of
variables. These variables are taken, unaltered, directly from the
source Master File. This Reference Manual documents NLMS Extract Files.
To accommodate analysis, SAS datafiles have been developed directly from
the Extract files. These are called, "Analysis Files." During the
development of Analysis Files, variable standardization across cohorts
is implemented. Variable modifications are documented in the Appendicies
of this Reference Manual.

Extract files are constructed by selecting the same subset of
information from each NLMS Master File. Extract Files are organized to
the same fixed format for all files. Each record consists of 86
variables in 241-character strings. Information relevant to death is
left blank for all nondeceased persons. Extract Files include fail edit
records and the set of selected variables as they are defined on the
source NLMS Master File. A four-digit file description and an alphabetic
letter code are the basic file identifiers associated with each cohort.

In addition to an Extract File for each cohort, a special Extract File
combining data across all cohorts has been created to include the same
extract file information but only for deceased persons. The file, called
the \"Numerator File,\" has the same format, variable content and
variable location as the studies extract files.

For the specific purpose of conducting matches to the National Death
Index, a set of files called, "Match Files," have been developed. These
files consist of only those variables required for matching to the
National Death Index. They also include identifiers necessary to link
identified matches back to relevant NLMS records after a match. In a few
instances, additional records are generated with pseudo birth dates to
permit matches that would otherwise not be possi­ble because the original
file only collected quarter of birth and not month of birth.

Following the third match to the NDI, specialized files were cre­ated
containing all mortality information taken from death certificates and
NLMS control numbers to permit the linking of these data to other NLMS
analytical files. These files are called, \"Master Death Files.\" A
record layout for these files is given as part of the index of this
Ref­erence Manual. However, characteristics of these files are not
summarized in a tabular format. For persons not identified as deceased
by NLMS processes, Master Death Files contain only the control number of
the person.

The small table below lists, for each cohort, the letter code and the
four-digit numerical code associated with each file, a description of
the survey or Census from which the data were obtained, and the NLMS
official date used as the start of follow-up for the cohort. The cohorts
8603, 8703, 8803, 8903, 9009, 9203 and 9303 have multiple start dates on
the file. See the description of FACTOR for discussion of this feature
and the alternative start dates that should be used.

01 Cohort A 7303 March 1973 CPS January 1, 1979

02 Cohort B 7802 February 1978 CPS January 1, 1979

03 Cohort C 7903 March 1979 CPS March 18, 1979

04 Cohort D 8014 April 1980 CPS April 13, 1980

05 Cohort E 8024 1980 Census E Sample January 1, 1981

06 Cohort F 8008 August 1980 CPS August 17, 1980

07 Cohort G 8012 December 1980 CPS December 14, 1980

08 Cohort H 8103 March 1981 CPS March 15, 1981

09 Cohort I 8203 March 1982 CPS March 14, 1982

10 Cohort J 8303 March 1983 CPS March 13, 1983

11 Cohort K 8403 March 1984 CPS March 18, 1984

12 Cohort L 8503 March 1985 CPS March 17, 1985

13 Cohort M 8509 September 1985 CPS September 21, 1985

14 Cohort N 8603 March 1986 CPS March 25, 1986

15 Cohort O 8703 March 1987 CPS March 14, 1987

16 Cohort P 8803 March 1988 CPS March 22, 1988

17 Cohort Q 8903 March 1989 CPS March 28, 1989

18 Cohort R 9003 March 1990 CPS March 27, 1990

19 Cohort S 9103 March 1991 CPS March 26, 1991

20 Cohort T 9203 March 1992 CPS March 24, 1992

21 Cohort U 9303 March 1993 CPS March 23, 1993

22 Cohort V 9403 March 1994 CPS March 22, 1994

23 Cohort W 9503 March 1995 CPS March 28, 1995

24 Cohort X 9603 March 1996 CPS March 26, 1996

25 Cohort Y 9703 March 1996 CPS March 25, 1997

26 Cohort Z 9803 March 1996 CPS March 24, 1998

[Table 1](#Table_1) lists basic frequencies for each of the cohort
extract files. Included in the table is the number of records on the
file, the number of fail edits (i.e. records lacking sufficient
information to match to the NDI), the number of non-links and the number
of deaths in each file by the year of the identifying match

**Features Of The Documentation**

The purpose of this Reference Manual is to document the NLMS and
describe the variables available to researchers for immediate analysis.
A brief description and a summary of useful information about the
location of each variable on the Extract File serves as the index to
this manual. The index gives the full variable name, a label of six or
fewer characters identifing the variable, page location in the Reference
Manual of the full variable discussion, variable location on the Extract
File, variable edit status, and a variable description. The six-digit
label will be used in all NLMS software to refer to the variable and it
will serve as the Analysis Files SAS dataset variable name. The location
of each variable on the Extract File is identified in the index by its
actual location in characters under the heading \"LOCATION". The size of
the variable is the number of characters reserved on the record for the
variable.

The body of the Reference Manual contains a full description of each
extract file variable. The descriptive portion of the text is identified
by the expression \"Description:\" Possible codes and frequencies on
relevant files are identified for each vari­able. Any restrictions or
special conditions are also noted. When possible, an attempt has been
made during the construction of analysis files to standardize the
original master file codes so that variable values are be consistent
across cohorts. If not documented in this Reference Manual, no
standardization has been made for the variable and Analysis File
frequencies would be as indicated in the Extract File description
portion of this manual.

File-specific variable frequencies have been included in this Reference
Manual along with the vari­able descriptions, for all variables for which
the number of levels of the variable was small enough to construct a
display table. Frequencies are shown for legitimate as well as
illegitimate codes. Entries in this documentation are intended to
reflect all entries on each file for all basic variables in the study.

**Comments On File Definition**

**NOTE 1:** Not all records available in the respective CPS surveys or
the Census sub-sample are part of the NLMS study because some records
lack the required information to match to the National Death Index.
These records are identified as failed edit records. The NLMS variable
IND201 is the key indicator of failed edit status and current mortality
status. A value of 0 or 1 for the NLMS variable IND201 indicates a fail
edit record for the 2001 match. Fail-edit frequencies for each cohort
are shown in Table 1.

**NOTE 2:** For a small percentage of records in cohorts A, B, C, D, and
F, a link could not be made between the data file record and the con­trol
file, the source of the NLMS Master File information. As a result, these
records consist of control file in­formation only and may not include
desirable demographic or socio-economic information of interest to an
analysis. The total number of records that did not link is also shown in
Table 1. The frequency of \"unknown\" responses for variables described
in this manual may include frequencies for re­cords that did not link.

**Three Files With Special Restrictions**

**NOTE 3:** Cohort A, based on the 1973 CPS survey, consists of persons
iden­tified as alive six years before the beginning of the National Death
index in 1979. The NLMS is unable to determine which persons in this
cohort died during the approximately six-year interim pe­riod between the
end of interview in March 1973 and January 1, 1979, the starting date of
the National Death Index. For most analyses, ta­bles constructed using
this file should not be included or should exclude persons older than 64
years of age in 1979. This would correspond to removing from analysis
those persons whose actual age on the file is more than 58 years. By
deleting persons 58 years of age or older, the persons having the
greatest chance of dying during the 6 year period before the start of
mortality follow-up would not be considered for analysis.

A similar problem also applies to the February 1978 cohort, cohort B. In
this case the lack of follow-up potential is for the interim period from
February 1978 to January 1979, a period of approximately 10 months.

**NOTE 4:** Due to the lengthly follow-up period required to complete
the 1980 Cen­sus, records for persons in the NLMS 1980 Census cohort,
Cohort E, who died in 1980 were considered to be inva­lid and the start
of follow-up for this cohort was set to January 1, 1981.

Possible implications and solutions to these cohort follow-up issues are
given in the NLMS first data book pages 35-36.

**The September 1985 \"Smoking\" File**

At the conclusion of the 5th match to the NDI a new file, the Sep­tember
1985 CPS file (cohort M), was added to the NLMS list of study cohorts.
This file was constructed for the specific purpose of studying the
smok­ing and health status variables obtained in the September 1985 CPS
interview. The file consists of the full 155-character Extract File
record, as for all other cohorts in the NLMS, with an appended section
that con­tains the smoking and health status information, an additional
42 characters. Tallies and descriptions of variables occupying the first
155 characters have been incorporated into the main portion of the
Reference Manual. The smoking and health status variables are documented
as a regular continuation of this Reference Manual but with warnings
that this information is only available on the 8509 file.

**Creation of the Analysis File SAS Datasets**

SAS datasets, derived from each of the NLMS Extract files de­scribed in
Table 1, have been created for analysis purposes. These files are
referred to as, "Analysis Files." In the process of creating analysis
files, a variety of edits were performed to both standardize variables
and expedite analyses.

The results of these edits are found in [Appendix A](#Appendix_A). Three
basic types of edits may be performed on a variable: simple edits (SE),
are recoding of variables to a missing value code because of an
inabil­ity to collect data; invalid entry edits (IE), are recodings of
obvious data keying errors to missing; recoding ed­its (RE), edits made
to standardize variable values across files. To indicate the use of
these edits in Reference Manual documentation, when an edit has been
performed, the phrase \"APPEND\[xx\]\" will be shown on the first line
of discussion about the variable. The sym­bols, "xx,\" stands for any, or
all, of the two-letter edit codes that may apply. If the edits are SE or
IE, frequency counts are as shown in the body of the Reference Manual
for the meaningful levels of the variables. For RE edits, the final
fre­quency distribution is given in the Appendix. A special column in the
Reference Manual index, labeled, "EDITS," indicates any edits performed.

> []{#Table_1 .anchor}Table 1. File Specific Frequencies

Study Records Fail Non-

Edits Links

01 7303 A 131,213 1,027 5

02 7802 B 94,662 1,900 741

03 7903 C 43,098 1,517 -

04 8014 D 184,871 1,883 4,434

05 8024 E 124,345 143 -

06 8008 F 182,373 1,043 4,123

07 8012 G 177,765 2,878 5,844

08 8103 H 61,804 1,705 -

09 8203 I 81,480 1,596 -

10 8303 J 81,281 2,068 -

11 8403 K 80,732 3,234 -

12 8503 L 80,071 3,367 -

13 8509 M 144,698 16 0

14 8603 N 46,022 0 N/A

15 8703 O 45,271 4 N/A

16 8803 P 45,479 5 N/A

17 8903 Q 41,925 5 N/A

18 9003 R 44,285 4 N/A

19 9103 S 49,037 5 N/A

20 9203 T 43,550 4 N/A

21 9303 U 62,899 2,287 N/A

22 9403 V 103,286 697 N/A

23 9503 W 75,485 540 N/A

24 9603 X 65,555 629 N/A

25 9703 Y 66,394 610 N/A

26 9803 Z 66,173 690 N/A

Total 2,223,754 27,858 15,147

Table 1: File-Specific Frequencies (continued)

Study Mortality by Year of Match

83 85 87 89 91 01

01 7303 A 3,000 5,250 7,410 9,684 11,967 22,790

02 7802 B 2,540 4,468 6,397 8,406 10,379 20,020

03 7903 C 712 1,331 1,916 2,509 3,178 6,306

04 8014 D 2,102 4,756 7,647 10,607 13,733 28,336

05 8024 E 1,168 3,585 6,128 8,517 11,147 23,468

06 8008 F 1,653 4,276 7,165 10,036 12,926 27,225

07 8012 G 1,165 3,576 6,147 8,855 11,690 25,191

08 8103 H 297 1,166 2,048 2,915 3,853 8,553

09 8203 I 0 949 2,076 3,280 4,486 10,678

10 8303 J 0 357 1,464 2,566 3,749 9,579

11 8403 K 0 0 872 1,956 3,117 8,850

12 8503 L 0 0 378 1,459 2,529 8,131

13 8509 M 0 0 0 0 3,658 12,593

14 8603 N 0 0 0 0 0 6,411

15 8703 O 0 0 0 0 0 5,606

16 8803 P 0 0 0 0 0 5,246

17 8903 Q 0 0 0 0 0 4,305

18 9003 R 0 0 0 0 0 4,000

19 9103 S 0 0 0 0 0 3,355

20 9203 T 0 0 0 0 0 2,908

21 9303 U 0 0 0 0 0 2,765

22 9403 V 0 0 0 0 0 3,086

23 9503 W 0 0 0 0 0 1,827

24 9603 X 0 0 0 0 0 1,105

25 9703 Y 0 0 0 0 0 722

26 9803 Z 0 0 0 0 0 259

Total 12,637 29,714 49,648 70,790 96,412 253,315

Note:

1\. \"Records\" gives the total number of all records on the

NLMS cohort Master File.

2\. \"Fail-edits\" are the number of records on the file that failed
edit and are, therefore, ineligible for a match to the NDI.

3\. \"Non-Links\" are the number of records out of total number of
records on file for which a link was not made during master file
construction of control information necessary for matching to the
National Death Index and complete CPS information on each person.

4\. \"Mortality by Year of Match\" gives mortality count according to
the relevant mortality indicator appropriate to the data complete
through the indicated year. Frequencies are cumulative totals through
the match year shown.

**National Longitudinal Mortality Study**

**Extract File**

**Variable Description and Codes**

**August 1, 2005**

[]{#CCNUM .anchor}1. Control No. CCNUM

Description:

Unique NDI identification number. First four digits represent the file
but are not necessarily a unique code for the file. The digits for each
file and the total records counts for the file are:

7303 March 1973 CPS file (131,213)

7802 February 1978 CPS file (94,662)

790\_ \*March 1979 CPS file (43,098)

8014 April 1980 CPS file (184,871)

8024 1980 Census E-sample file (124,345)

8008 August 1980 CPS file (182,373)

8012 December 1980 CPS file (177,765)

810\_ \*March 1981 CPS file (61,804)

820\_ \*March 1982 CPS file (81,480)

830\_ \*March 1983 CPS file (81,281)

840\_ \*March 1984 CPS file (80,732)

850\_ \*March 1985 CPS file (80,071)

8603 March 1986 CPS file (46,022)

8703 March 1987 CPS file (45,271)

8803 March 1988 CPS file (45,479)

8903 March 1989 CPS file (41,925)

9003 March 1990 CPS file (44,285)

9103 March 1991 CPS file (49,037)

9203 March 1992 CPS file (43,550)

9303 March 1993 CPS file (62,899)

9403 March 1994 CPS file (103,286)

9503 March 1995 CPS file (75,485)

9603 March 1996 CPS file (65,555)

9703 March 1997 CPS file (66,394)

9803 March 1998 CPS file (66,173)

\*Note: The four-digit code for these two cohorts is not unique within
the cohort. Generally, the label associated with these files is 7903,
8103, 8203, 8303, 8403, and 8503 respectively.

Note: Not shown above are the 8034 (Census recount) and 8509 ("Smoking")
files.

[]{#URB .anchor}2. Urban/Rural URB APPEND \[RE\]

Description:

Urban or rural status. The definition of urban and rural on files 7303
through 8503 follows from the 1970 Census. For cohorts 8509 through
9303, the definition follows from the 1980 Census land definition and
for cohorts 9403 and later, the definition follows from the 1990 Census
definition. An urban area consists of all persons living in urbanized
areas and in places of 2,500 or more inhabitants outside urbanized
areas. More specifically, the urban population consists of all persons
living in

\(1\) places of 2,500 or more inhabitants incorporated as cities,
villages, boroughs and towns, but excluding those persons living in the
rural portions of extended cities; and

\(2\) other territories, incorporated and unincorporated included in
urbanized areas. The population not classified as urban constitutes the
rural population.

Codes: All cohorts except 8024

0 - Unknown

1 - Urban

2 - Rural

bl - Unknown

URB\\counts: 7303 7802 7903 8008 8012

1,032 2,624 none 5,776 4,253

1 92,406 63,952 29,789 115,662 113,175

2 37,775 28,086 13,309 60,935 60,337

Total 131,213 94,662 43,098 182,373 177,765

URB\\counts: 8014 8103 8203 8303 8403

6,446 none 1 none none

1 117,674 40,500 54,092 53,532 53,601

2 60,751 21,304 27,387 27,749 27,131

Total 184,871 61,804 81,480 81,281 80,732

URB\\counts: 8503 8509 8603 8703 8803

none none none none none

1 57,617 102,153 32,541 31,721 31,821

2 22,454 42,545 13,481 13,550 13,658

Total 80,071 144,698 46,022 45,271 45,479

URB\\counts: 8903 9003 9103 9203 9303

none none none none none

1 28,513 30,533 34,385 30,158 43,438

2 13,412 13,752 14,652 13,392 19,461

Total 41,925 44,285 49,037 43,550 62,899

URB\\counts: 9403 9503 9603 9703 9803

none none none none none

1 76,406 55,372 48,314 48,939 48,881

2 26,880 20,113 17,241 17,455 17,292

Total 103,286 75,485 65,555 66,394 66,173

Codes: 8024

0 - Urban

1 - Rural

2 - Part Urban and Part Rural

3 - Unknown

URB\\counts: 8024

0 87,343

1 31,647

3 5,355

Total 124,345

[]{#SMSAST .anchor}3. SMSA Status SMSAST APPEND\[SE\]

Description:

Is a household located in an SMSA (Standard Metropolitan Statistical
Area) or not? The definition of SMSA status is based on the county
boundaries included in the region defining the SMSA at the time of the
1970 Census. A central city is defined as the city, or cities boundary
associated with the name designation of the SMSA. A redesign of the
Current Population Survey was implemented in March of 1985 based on the
1980 Census. The definition of a metropolitan area was reformulated and
identified as an MSA/PMSA (a Metropolitan Statistical Area/Primary
Metropolitan Statistical Area) under a population based criteria. For
the construction of the SMSAST variable for files between September 1985
through March of 1998, values were assigned for NLMS purposes to embody
the definition of the previous decade but are based on the population
features according to 1984 geography definitions.

Codes for files: Cohorts 7303 through 8503.

0 - Unknown

1 - SMSA, in Central City

2 - SMSA, not in Central City

3 - Not in an SMSA

Codes for files: Cohorts 8509 through 9803.

0 - Unknown

1 -- in an MSA/PMSA, and in the Central City

2 -- in an MSA/PMSA, but not the Central City

3 - Not in an MSA/PMSA

SMSAST\\counts: 7303 7802 7903 8008 8012

0 1,032 2,624 none 5,776 4,253

1 38,145 25,394 12,422 46,117 45,548

2 50,379 36,375 15,382 61,435 60,447

3 41,657 30,269 15,294 69,045 67,517

Total 131,213 94,662 43,098 182,373 177,765

SMSAST\\counts: 8014 8024 8103 8203 8303

0 6,446 none 1,682 1 none

1 46,682 38,279 15,243 21,769 21,539

2 62,788 49,225 21,234 28,739 28,449

3 68,955 36,841 23,645 30,971 31,293

Total 184,871 124,345 61,804 81,480 81,281

SMSAST\\counts: 8403 8503 8509 8603 8703

0 none none none none none

1 22,015 20,803 35,166 13,069 13,001

2 28,228 30,404 54,333 19,798 19,496

3 30,489 28,864 55,199 13,155 12,774

Total 80,732 80,071 144,698 46,022 45,271

SMSAST\\counts: 8803 8903 9003 9103 9203

0 none none none none none

1 12,538 11,394 12,047 13,706 11,938

2 19,709 17,687 18,994 21,510 19,064

3 13,232 12,844 13,244 13,821 12,548

Total 45,479 41,925 44,285 49,037 43,550

SMSAST\\counts: 9303 9403 9503 9603 9703

0 none none none none none

1 17,339 33,114 22,832 19,931 20,332

2 27,208 45,313 35,808 30,488 30,686

3 18,352 24,859 16,845 15,136 15,376

Total 62,899 103,286 75,485 65,555 66,394

SMSAST\\counts: 9803

0 none

1 19,740

2 31,157

3 15,276

Total 66,173

[]{#LAND .anchor}4. Land Use LAND

Description:

Household location in terms of land use. The definition of \"urban\"

and \"rural\" are the same as used in the definition of variable URB.
The definition of a farm follows that used for the 1970 Census. A farm
was a place that was rural, had agricultural sales of \$1,000, or more,
or a place of 10 acres or more and over \$50 in farm sales.

NOT AVAILABLE for files: 8024, 8503, 9303, 9403, 9503, 9603, 9703, 9803

Codes: 7303 7802 8014 8008 8012 8509

1 - Urban

2 - Rural Farm

3 - Rural Farm

4 - Rural Nonfarm

5 - Rural Nonfarm

blank - Unknown

Note: Agreement between \"LAND\" and \"URB" is not exact for file 7303.

LAND\\counts: 7303 7802 8008 8012 8014

blank 1,032 2,624 5,776 4,253 6,446

1 92,403 63,952 115,662 113,175 117,674

2 5,794 3,318 7,217 6,719 7,182

3 456 251 506 491 608

4 2,910 2,105 4,539 4,503 4,657

5 28,618 22,412 48,673 48,624 48,304

Total 131,213 94,662 182,373 177,765 184,871

Codes for files: 7903 8103 8203 8303 8403

1 -- Urban area

2 -- Farm, more than 10 acres or \$1,000 or more in farm sales

3 -- Non-farm, more than 10 acres, \$250-\$999 in farm sales

4 -- Non-farm, more than 10 acres, \$50-\$249 in farm sales

5 -- Non-farm, more than 10 acres, less than \$50 in farm sales

6 -- Farm, less than 10 acres, \$1,000 or more in farm sales

7 -- Non-farm, less than 10 acres, \$250-\$999 in farm sales

8 -- Non-farm, less than 10 acres, \$50-\$249 in farm sales

9 -- Non-farm, less than 10 acres, less than %50 in farm sales

LAND\\counts: 7903 8103 8203 8303 8403

none none none none none

1 29,789 40,500 54,093 53,532 53,601

2 1,300 1,960 2,506 2,309 2,456

3 131 176 251 285 211

4 55 108 101 82 102

5 1,022 1,662 2,076 2,031 2,009

6 71 108 145 156 151

7 20 43 109 69 52

8 46 18 57 54 51

9 10,664 17,229 22,142 22,763 22,099

Total 43,098 61,804 81,480 81,281 80,732

Codes: 8509

1 - Urban

2 - Rural Farm

3 - Rural Nonfarm

LAND\\counts: 8509

1 102,153

2 3,945

3 38,600

Total 144,698

Codes: 8603 8703

1 - Urban

2 - Rural Farm

4 - Rural Nonfarm

LAND\\counts: 8603 8703

1 32,560 31,763

2 1,356 1,277

4 12,106 12,231

Total 46,022 45,271

Codes: 8803 chronologically up through 9203

1 - Urban

2 - Rural Farm

3 - Rural Nonfarm

LAND\\counts: 8803 8903 9003 9103 9203

1 31,803 28,549 30,553 34,429 30,159

2 1,221 1,123 1,282 1,157 1,103

3 12,455 12,253 12,450 13,451 12,288

Total 45,479 41,925 44,285 49,037 43,550

[]{#VTSTAT .anchor}5. Veteran Status VTSTAT APPEND\[SE,IE\]

Description: Veterans Status description

NOT AVAILABLE for files: 8024

Codes for files: 7303 - 9803 except 8024

0 - Not in universe or missing (e.g. female or age less than

or equal to 13)

1 - Vietnam era

2 - Korean War

3 - World War II

4 - World War I

5 - Other veteran

6 - Non-service

\^ - Age less than or equal to 13

blank - Female or unknown, or age less than or equal to 13

VTSTAT\\counts: 7303 7802 7903 8008 8012

Blank 84,967 51,365 none 116,029 81,428

0 none none 27,784 none none

1 3,983 4,209 1,433 6,205 6,330

2 3,151 2,615 833 3,750 3,605

3 7,542 6,154 1,916 8,492 8,234

4 727 302 91 323 304

5 2,450 2,398 826 3,822 3,851

6 28,393 27,619 10,215 43,752 42,541

\^ none none none none 31,472

Total 131,213 94,662 43,098 182,373 177,765

VTSTAT\\counts: 8014 8103 8203 8303 8403

blank 117,992 none 1 none none

0 none 39,163 51,693 51,380 51,266

1 6,511 2,131 2,701 2,734 2,709

2 3,754 1,306 1,582 1,521 1,555

3 8,670 2,816 3,534 3,333 3,246

4 411 129 116 110 58

5 3,777 1,340 1,772 1,830 1,768

6 43,756 14,919 20,081 20,373 20,130

\^ none none none none none

Total 184,871 61,804 81,480 81,281 80,732

VTSTAT\\counts: 8503 8509 8603 8703 8803

blank none 31,073 none none none

0 50,382 none 24,842 24,417 441

1 2,711 4,999 2,102 2,038 1,948

2 1,503 2,754 1,140 1,131 1,155

3 3,051 5,954 2,378 2,292 2,202

4 63 115 35 29 18

5 1,832 3,675 1,473 1,473 1,557

6 20,529 96,128 14,052 13,891 38,158

\^ none none none none none

Total 80,071 144,698 46,022 45,271 45,479

VTSTAT\\counts: 8903 9003 9103 9203 9303

blank none none none none none

0 483 408 583 386 11,041

1 1,790 1,926 2,090 1,859 2,157

2 1,044 1,102 1,207 995 1,164

3 1,991 1,994 2,023 1,762 1,966

4 13 11 8 9 5

5 1,483 1,554 1,698 1,609 1,762

6 35,121 37,290 41,428 36,930 44,804

\^ none none none none none

Total 41,925 44,285 49,037 43,550 62,899

VTSTAT\\counts: 9403 9503 9603 9703 9803

blank none none none none none

0 26,690 18,011 15,706 15,553 15,775

1 2,765 2,229 1,777 1,880 1,899

2 1,311 1,055 937 913 828

3 2,289 1,936 1,557 1,509 1,360

4 9 4 1 2 none

5 2,893 2,178 1,869 1,952 1,895

6 67,329 50,072 43,708 44,585 44,416

\^ none none none none none

Total 103,286 75,485 65,555 66,394 66,173

[]{#COUNTY .anchor}6. County Code COUNTY

Description:

County or independent city codes (1970). County codes are determined
according to the Federal Information Processing Standards (FIPS) for
counties. County codes were not collected directly for the 7303 and 8024
cohorts. Without extensive additional processing, county codes could not
be obtained for these cohorts so they are left blank. The reference
document to given county codes is FIPS PUB 6-2, 1973 September 15.

NOT AVAILABLE for files: 7303, 8024

Codes: All cohorts except 7303, 8024.

blank - Unknown

001 - 840 FIPS Codes

COUNTY\\counts: 7802 7903 8008 8012 8014

blank 2,624 none 5,776 4,253 6,446

001 - 840 92,038 43,098 176,597 173,512 178,425

Total 94,662 43,098 182,373 177,765 184,871

COUNTY\\counts: 8103 8203 8303 8403 8503

blank none 1 none none none

001 - 840 61,804 81,479 81,281 80,732 80,071

Total 61,804 81,480 81,281 80,732 80,071

COUNTY\\counts: 8509 8603 8703 8803 8903

blank none none none none none

001 - 840 144,698 46,022 45,271 45,479 41,925

Total 144,698 46,022 45,271 45,479 41,925

COUNTY\\counts: 9003 9103 9203 9303 9403

blank none none none none none

001 - 840 44,285 49,037 43,550 62,899 103,286

Total 44,285 49,037 43,550 62,899 103,286

COUNTY\\counts: 9503 9603 9703 9803

blank none none none none

001 - 840 75,485 65,555 66,394 66,173

Total 75,485 65,555 66,394 66,173

[]{#LIVTYP .anchor}7. Type of Living LIVTYP APPEND \[IE, RE\]

Description:

Type of living quarters for household.

NOT AVAILABLE for file 8024

Codes for file 7303:

1 - House, apartment, flat

2 - HU in non-transient hotel, etc.

3 - HU, permanent, intrans., hotel, motel, etc.

4 - HU in rooming house

5 - Trailer, permanent

6 - Trailer, mobile

7 - HU not specified above

8 - Quarters not HU in rooming or boarding house

9 - Unit not permanent in transient hotel, motel, etc.

10 - Tent or trailer site

17 - Other not HU

blank - Unknown

LIVTYP\\counts: 7303

blank 1,032

01 125,642

02 96

03 85

04 123

05 3,901

06 47

07 168

17 119

Total 131,213

Codes for files: 7802, 7903, 8014, 8008, 8012, 8103, 8203, 8303,

8403, 8503, 8509, 8603, 8703

1 - House, apartment, flat

2 - HU in non-transient hotel, etc.

3 - HU, permanent in transient hotel, motel, etc.

4 - HU in rooming house

5 - Mobile home or trailer

6 - HU not specified above

7 - Quarters not HU in rooming or boarding house

8 - Unit not permanent in transient hotel, motel, etc.

9 - Tent or trailer site

10 - Other not HU

blank - Unknown

\^ - Unknown

LIVTYP\\counts: 7802 7903 8008 8012 8014

blank 2,624 none 5,776 4,253 6,446

01 88,134 41,364 167,810 163,962 169,292

02 66 39 109 95 124

03 39 29 73 70 66

04 50 29 74 87 49

05 3,572 1,603 8,324 9,009 8,599

06 29 10 68 50 60

07 23 2 35 19 46

08 6 none none 9 none

09 1 none 2 6 2

10 118 22 102 205 187

\^- none none none none none

Total 94,662 43,098 182,373 177,765 184,871

LIVTYP\\counts: 8103 8203 8303 8403 8503

blank none 1 none none none

01 58,673 77,145 76,654 76,571 75,399

02 58 42 64 36 28

03 23 28 34 47 15

04 29 55 31 48 24

05 2,929 4,106 4,362 3,937 4,452

06 10 32 20 28 36

07 6 3 14 12 24

08 none 1 4 8 1

09 none none 5 none none

10 76 67 93 45 92

\^- none none none none none

Total 61,804 81,480 81,281 80,732 80,071

LIVTYP\\counts: 8509 8603 8703

blank none none none

01 136,238 43,602 42,553

02 98 10 23

03 36 11 11

04 51 26 9

05 8,054 2,282 2,570

06 24 6 26

07 30 36 34

08 12 3 none

09 7 none none

10 147 46 45

\^- 1 none none

Total 144,698 46,022 45,271

Codes for files: 8803 chronologically up through 9803

01 - House, apartment, flat

02 - HU in non-transient hotel, etc.

03 - HU, permanent in transient hotel, motel, etc.

04 - HU in rooming house

05 - Mobile home or trailer with no permanent room added

06 - Mobile home or trailer with one or more permanent rooms added

07 - HU not specified above

08 - Quarters not HU in rooming or boarding house

09 - Unit not permanent in transient hotel, motel, etc.

10 - Tent or trailer site

11 - Student quarters in college dormitory

12 - Other not HU

LIVTYP\\counts: 8803 8903 9003 9103 9203

01 42,907 39,248 41,637 46,183 40,945

02 34 21 18 31 11

03 18 21 20 4 10

04 26 21 35 22 34

05 2,024 2,174 2,071 2,315 2,060

06 370 372 405 411 402

07 25 13 23 4 12

08 8 4 none 7 11

09 none none 1 2 4

10 1 2 1 none none

11 13 22 10 9 9

12 53 27 64 49 52

Total 45,479 41,925 44,285 49,037 43,550

LIVTYP\\counts: 9303 9403 9503 9603 9703

01 59,105 97,390 71,047 61,425 62,224

02 11 31 52 55 59

03 14 28 9 52 10

04 15 59 33 21 30

05 3,154 4,898 3,571 3,334 3,393

06 508 734 732 594 622

07 18 23 21 41 48

08 4 22 1 none none

09 none 9 1 none none

10 7 3 none none none

11 7 71 18 33 8

12 56 18 none none none

Total 62,899 103,286 75,485 65,555 66,394

LIVTYP\\counts: 9803

01 62,201

02 56

03 5

04 25

05 3,237

06 610

07 18

08 2

09 none

10 2

11 17

12 none

Total 66,173

[]{#RELTRF .anchor}8. Relationship to Reference RELTRF APPEND(SE,IE\]

Description:

Relationship to reference person.

Note: This variable is not defined for the 8603 and 8703 cohorts, but
similar relationships to RELTRF are defined for the RELTHD variable,
Item #9. In general, RELTRF variable is defined for the files
chronologically up through 9803, where as RELTHD is not defined for
cohorts later than 8703. For certain types of analysis the responses
found under the RELTHD variable may adequately serve as responses for
the RELTRF variable for the 8603 and 8703 cohorts.

\*Note: For files 8014,8008,and 8012 the relationship is

INCORRECT for persons ages less than or equal to

13 years of age but is CORRECTLY coded for persons

14 and older in these cohorts.

NOT AVAILABLE for files: 7303, 7802, 8024 8603 8703

Codes for files: 7903 8014 8008 8012 8103 8203 8303 8403 8503 8509

0 - Unknown

1 - Reference person with other relative in HH

2 - Reference person with no other relatives in HH

3 - Husband

4 - Wife

5 - Own child

6 - Parent

7 - Brother/Sister

8 - Other relative of reference person (HHLDR-81), (Head-79)

9 - Non-relative of reference person with own relatives in HH

A - Non-relative of reference person, no own relatives in HH

\- - Unknown

blank - Unknown

RELTRF\\counts: 7903 8008 8012 8014 8103

blank none 5,776 4,253 6,446 none

\- none 200 120 128 none

0 178 none none none 67

1 11,357 82,480 80,919 83,050 16,593

2 3,631 16,799 16,675 17,101 6,069

3 250 3,418 3,608 3,320 533

4 9,099 38,872 37,899 39,462 13,025

5 15,844 26,346 25,673 26,748 21,556

6 236 907 936 862 301

7 378 1,284 1,266 1,318 455

8 1,122 2,397 2,424 2,416 1,604

9 232 767 751 717 296

A 771 3,127 3,241 3,303 1,305

Total 43,098 182,373 177,765 184,871 61,804

RELTRF\\counts: 8203 8303 8403 8503 8509

blank 1 none none none none

\- none none none none none

0 169 620 164 170 none

1 21,841 21,699 21,789 21,667 39,420

2 7,718 7,596 7,764 7,938 15,134

3 711 814 893 1,016 1,861

4 17,027 16,871 16,689 16,255 30,102

5 28,509 28,155 27,893 27,528 48,906

6 422 374 354 483 724

7 598 580 591 627 1,034

8 2,382 2,283 2,350 2,109 3,665

9 470 598 564 536 691

A 1,632 1,691 1,681 1,742 3,161

Total 81,480 81,281 80,732 80,071 144,698

Codes for files: 8803 chronologically up through 9403

0 - Unknown

1 - Reference person with other relative in HH

2 - Reference person with no other relatives in HH

3 - Husband

4 - Wife

5 - Own child

6 - Parent

7 - Brother/Sister

8 - Other relative of reference person

9 - Non-relative of reference person with own relatives in

HH

A - Non-relative of reference person, no own relatives in HH

blank - Unknown

RELTRF\\counts: 8803 8903 9003 9103 9203

blank 40 48 68 none 7

1 16,507 15,187 16,081 17,924 16,013

2 6,556 6,143 6,498 7,109 6,533

3 651 669 785 922 848

4 12,618 11,640 11,998 13,017 11,500

5 6,552 5,850 6,198 6,913 5,839

6 235 195 206 266 234

7 316 270 323 398 327

8 657 589 629 740 648

9 123 131 137 187 146

A 1,224 1,203 1,362 1,561 1,455

Total 45,479 41,925 44,285 49,037 43,550

RELTRF\\counts: 9303 9403

blank 58 none

1 19,018 26,164

2 7,526 11,469

3 1,195 2,781

4 13,635 17,501

5 17,368 34,588

6 355 706

7 372 975

8 1,391 4,177

9 308 1,067

A 1,673 3,858

Total 62,899 103,286

Codes for files: 9503 chronologically up through 9803

1 - Reference person with other relative in HH

2 - Reference person with no other relatives in HH

3 - Husband

4 - Wife

5 -- Natural/Adopted Child

7 - Grandchild

8 - Parent

9 -- Brother/Sister

A -- Other relative of reference person

B -- Foster child

C -- Non-relative of reference person with other relatives in HH

D -- Partner/Roommate

E -- Non-relative of reference person, no other relatives in HH

RELTRF\\counts: 9503 9603 9703 9803

1 20,131 17,513 17,712 17,650

2 8,507 7,453 7,594 7,639

3 2,601 2,504 2,897 3,189

4 13,091 10,869 10,739 10,384

5 24,344 21,227 21,303 21,225

7 1,283 1,127 1,134 1,170

8 602 592 613 577

9 646 570 571 591

A 1,229 1,040 1,096 968

B 102 101 78 80

C 666 557 534 533

D 1,704 1,479 1,532 1,601

E 579 523 591 566

Total 75,485 65,555 66,394 66,173

[]{#RELTHD .anchor}9. Relationship to Head of HH RELTHD APPEND\[SE\]

Description:

Relationship to head of household.

Not available for 8803 chronologically up through 9803.

Codes for file 8024

1 - Reference person

2 - Husband or wife of reference person

3 - Child of reference person

4 - Brother or sister of reference person

5 - Mother or father of reference person

6 - Other relative of reference person

7 - Nonrelative of reference person

blank - Unknown

RELTHD\\counts: 8024

blank 2,560

1 60,266

2 35,167

3 19,444

4 1,085

5 806

6 2,007

7 3,010

Total 124,345

Codes for files: 7303 8014 8008 8012 8509

1 - Head with other relatives (incl. wife) in household

2 - Head with no other relatives in household

3 - Wife of head

4 - Other relative of head

5 - Nonrelative of head with own relative (incl. wife)

in household

6 - Nonrelative of head with no own relatives in household.

blank - Unknown (age less than or equal to 13 for file 7303)

Note: for file 7303, data only for civilians, ages 14 +.

RELTHD\\counts: 7303 8008 8012 8014 8509

blank 34,523 5,776 4,253 6,446 596

1 34,135 48,357 47,190 48,567 39,024

2 8,796 16,786 16,664 17,077 15,149

3 29,225 39,915 39,021 40,350 31,855

4 23,084 67,126 66,095 67,875 54,160

5 127 1,164 1,173 1,145 1,162

6 1,323 3,249 3,369 3,411 2,752

Total 131,213 182,373 177,765 184,871 144,698

Code for files 7802

1 - Male head with relatives in household

2 - Male head without relatives in household

3 - Male relative of head

4 - Male, nonrelative of head

5 - Female head with relatives in household

6 - Female head without relatives in household

7 - Wife of head of household

8 - Female relative of head of household

9 - Female nonrelative of head of household

blank - Unknown or no CPS portion of record

RELTHD\\counts: 7802

blank 2,624

1 27,523

2 4,064

3 10,717

4 933

5 4,464

6 6,090

7 26,656

8 10,563

9 1,028

Total 94,662

Codes for files: 7903 and (March cohorts 8103 chronologically

Up through 8703)\*\*

0 - Unknown

1 - Head (HHLDR-81) with other relatives

2 - \*Primary individual

3 - Wife (Spouse-81) of head (HHLDR-81)

4 - Child of head (HHLDR-81)

5 - Other relative of head (HHLDR-81)

6 - Nonrelative of head (HHLDR-81) with own relatives in

household

7 - Nonrelative of head (HHLDR-81) with no own relatives in

household

blank - unknown

RELTHD\\counts: 7903 8103 8203 8303 8403

blank none none 1 none none

0 178 67 169 620 164

1 11,360 16,593 21,841 21,699 21,789

2 3,631 6,069 7,718 7,596 7,764

3 9,339 13,558 17,738 17,685 17,582

4 15,845 21,556 28,509 28,155 27,893

5 1,742 2,360 3,402 3,237 3,295

6 232 296 470 598 564

7 771 1,305 1,632 1,691 1,681

Total 43,098 61,804 81,480 81,281 80,732

RELTHD\\counts: 8503 8603 8703

blank none none none

0 170 none none

1 21,667 16,606 16,429

2 7,938 6,412 6,248

3 17,271 13,425 13,264

4 27,528 6,900 6,787

5 3,219 1,336 1,181

6 536 159 174

7 1,742 1,184 1,188

Total 80,071 46,022 45,271

\* Although everyone is, or has been part of a family, many

people don\'t live as part of a family setting. In a

single person household the individual is always coded

as a primary individual (2). A Primary individual for

example is a person who lives alone or with non-

relatives. For 1980 and beyond this person is referred

to as a non-family householder.

\*\* The restriction that the head of household was to be

the husband in a family was removed between 1979 and

1981\. Thus, for the 1981 file and later, the head of

household can be either male or female. The coding for

the 1981 file for RELTHD, and all subsequent March

files, remains the same except that a code of 3 means

spouse of head rather than wife of head.

[]{#HHNUM .anchor}10. Number in HH HHNUM APPEND\[SE\]

Description:

Number of persons in the household

Note: For files 7303, 7802, 8014, 8008, and 8012 HHNUM is computed

from within the NLMS file. It is defined to be the number of

persons on the file having the same PSU, SEGMENT, and SERIAL NUMBER.

For the other files, 7903, 8103, 8203, 8303, 8403, 8503, and 8024,

household size is taken directly from the original CPS record.

Note: Computations for 7802 file are based on the contents of the

file which does not contain children. Therefore, number in household
does not count the household size correctly for a majority of records on
file.

WARNING: DO NOT USE THE 7802 FILE for studies involving HHNUM.

Note: The codes \"00\", \"29\", and \"85\" designations for the 8024
file identify group quarter records.

HHNUM\\counts: 7303 7802 7903 8008 8012

00 none none none none none

01 8,592 11,030 3,093 15,002 14,451

02 26,372 42,974 9,047 42,068 40,526

03 22,734 17,658 7,873 33,765 32,922

04 27,472 13,332 9,592 41,808 40,784

05 20,245 6,120 6,429 25,840 24,790

06 12,408 2,478 3,432 12,624 12,438

07 6,594 784 1,974 5,495 5,880

08 3,064 232 848 2,872 2,888

09 1,566 54 369 1,260 1,494

10 940 none 130 750 710

11 594 none 198 385 418

12 360 none 72 228 300

13 130 none 26 117 104

14 112 none none 42 14

15 30 none 15 45 30

16 none none none 48 16

17 none none none none none

18 none none none none none

19 none none none none none

24 none none none 24 none

26 none none none none none

29 none none none none none

85 none none none none none

Total 131,213 94,662 43,098 182,373 177,765

HHNUM\\counts: 8014 8024 8103 8203 8303

00 none 4,685 none 1 none

01 15,221 12,918 5,188 6,607 6,575

02 42,100 33,631 14,177 18,421 18,324

03 35,136 23,153 11,865 15,550 15,780

04 41,902 22,879 13,947 18,755 19,076

05 25,630 13,630 8,605 11,225 11,472

06 13,050 6,944 4,486 5,796 5,484

07 6,013 3,651 1,777 2,708 2,415

08 2,816 1,283 898 1,208 1,096

09 1,575 750 460 549 621

10 790 375 218 300 250

11 407 219 88 154 110

12 132 123 67 96 24

13 39 37 none 52 26

14 28 56 28 42 28

15 15 6 none none none

16 none none none 16 none

17 17 none none none none

18 none none none none none

19 none none none none none

24 none none none none none

26 none none none none none

29 none 2 none none none

85 none 3 none none none

Total 184,871 124,345 61,804 81,480 81,281

HHNUM\\counts: 8403 8503 8509 8603 8703

00 none none none none none

01 6,719 6,860 12,997 5,547 5,387

02 18,315 18,467 34,358 13,782 13,752

03 15,879 15,744 28,581 9,435 9,170

04 19,104 19,036 34,788 9,328 9,194

05 11,000 11,115 19,499 4,734 4,605

06 5,340 4,860 8,035 1,879 1,874

07 2,317 2,086 3,354 721 690

08 1,008 904 1,604 280 303

09 405 450 634 149 143

10 330 230 503 81 94

11 154 132 179 40 23

12 24 36 100 19 9

13 39 91 51 12 13

14 28 14 none 6 11

15 30 30 15 none none

16 16 16 none 9 none

17 none none none none none

18 none none none none none

19 none none none none 3

24 24 none none none none

26 none none none none none

29 none none none none none

85 none none none none none

Total 80,732 80,071 144,698 46,022 45,271

HHNUM\\counts: 8803 8903 9003 9103 9203

00 none none none none none

01 5,616 5,267 5,512 6,071 5,482

02 14,143 12,991 13,735 14,982 13,794

03 9,307 8,628 8,720 9,912 8,699

04 9,146 8,582 8,984 9,931 8,692

05 4,386 4,077 4,284 4,754 4,208

06 1,701 1,486 1,688 1,914 1,488

07 643 472 737 743 669

08 239 190 281 387 267

09 150 133 142 169 131

10 55 47 79 97 72

11 39 26 62 50 21

12 18 10 36 13 8

13 18 none 16 7 6

14 none 5 3 7 9

15 8 3 6 none none

16 none 8 none none none

17 none none none none none

18 10 none none none 4

19 none none none none none

24 none none none none none

26 none none none none none

29 none none none none none

85 none none none none none

Total 45,479 41,925 44,285 49,037 43,550

HHNUM\\counts: 9303 9403 9503 9603 9703

00 none none none none none

01 6,364 9,249 7,021 6,203 6,290

02 16,474 23,924 18,306 15,996 16,222

03 12,558 20,419 14,562 12,621 12,816

04 14,777 23,877 17,856 15,204 15,368

05 7,634 14,555 9,785 8,675 8,825

06 2,930 5,841 4,302 3,726 3,828

07 1,108 2,681 1,890 1,610 1,519

08 474 1,204 920 792 784

09 260 660 531 306 315

10 131 395 130 230 190

11 93 259 77 77 66

12 53 92 36 12 72

13 13 113 26 39 39

14 21 14 28 none 14

15 none 3 15 none 30

16 none none none 64 16

17 none none none none none

18 none none none none none

19 none none none none none

24 none none none none none

26 9 none none none none

29 none none none none none

85 none none none none none

Total 62,899 103,286 75,485 65,555 66,394

HHNUM\\counts: 9803

00 none

01 6,312

02 16,176

03 12,837

04 15,240

05 9,055

06 3,738

07 1,526

08 720

09 288

10 170

11 44

12 24

13 13

14 14

15 none

16 16

17 none

18 none

19 none

24 none

26 none

29 none

85 none

Total 66,173

[]{#HHID .anchor}11. Household Identification HHID

Description:

The household identification number is a unique five-digit number
assigned to every member of a household. This variable is used to link
household information to the person records of persons in the household
for cohorts 8603 chronologically up through 9803.

Note: For files 7303, 7802, 8014, 8008, and 8012 HHID is computed using
PSU, SEGMENT, and SERIAL NUMBER to identify households, see notes for
variable 10, HHNUM. The identification number assigned is sequential
starting with the first household on the file. For files 7903, 8103,
8203, 8303, 8404, and 8503 HHID is taken directly from the CPS record.

For cohorts 8603 through 9803, HHID is the \"household sequence number\"
on the ASCII Master Files, an 8-position number. Location varies from
master file to master file.

NOT AVAILABLE for file: 8024

[]{#FMINC80 .anchor}12. FMINC80, categorized income in 1980 \$
APPEND\[SE\]

Description:

For all March files, the value of FMINCOME, family income in unadjusted
dollars, is inflated (deflated) to 1980 dollars and then each member of
the family is assigned the appropriate category for the variable as
indicated in the variable description below. For cohorts with
categorical values of income (February 78; April, Au­gust, and December
1980; September 1985), included in the original set of NLMS cohorts, the
value of fminc80 was set equal to the originally carried variable,
previously called, ADJINC.

NOT AVAILABLE for file: 8024

Codes for files: 7303, 7802, 7903, 8014 chronologically up 9803

blank -- unknown or missing income

\- - Negative Income

1 - \$ 0 - \$ 4,999

2 - \$ 5,000 - \$ 9,999

3 - \$10,000 - \$14,999

4 - \$15,000 - \$19,999

5 - \$20,000 - \$24,999

6 - \$25,000 - \$49,999

7 - \$50,000 plus

9 -- unknown or missing income

FMINC80\\counts: 7303 7802 7903 8008 8012

blank none none none none none

\- 263 none none none none

1 8,480 8,437 3,187 17,667 16,524

2 14,616 13,132 5,655 26,768 26,864

3 16,197 15,512 6,025 30,503 30,154

4 18,647 10,920 5,654 24,670 23,545

5 18,382 13,762 5,543 25,069 23,829

6 45,302 22,637 14,144 34,622 34,730

7 9,324 1,877 2,888 6,809 6,816

9 2 8,385 2 16,265 15,303

Total 131,213 94,662 43,098 182,373 177,765

FMINC80\\counts: 8014 8024 8103 8203 8303

blank none 124,345 none none none

\- none none none none none

1 17,508 none 5,171 7,505 7,945

2 26,916 none 8,114 11,785 11,716

3 29,972 none 8,599 11,782 12,011

4 26,024 none 8,383 11,416 11,565

5 25,649 none 8,161 10,017 10,392

6 38,448 none 19,362 24,178 22,496

7 6,878 none 4,014 4,795 5,154

9 13,476 none none 2 2

Total 184,871 124,345 61,804 81,480 81,281

FMINC80\\counts: 8403 8503 8509 8603 8703

blank none none none none none

\- none none none 139 121

1 8,474 7,268 19,826 4,295 4,114

2 11,411 10,738 17,621 6,270 5,859

3 11,472 10,561 24,056 6,198 5,817

4 11,016 10,367 14,788 5,918 5,601

5 9,727 9,346 25,097 5,506 5,270

6 23,258 25,145 31,362 14,084 14,311

7 5,366 6,641 4,636 3,611 4,169

9 8 5 7,312 1 9

Total 80,732 80,071 144,698 46,022 45,271

FMINC80\\counts: 8803 8903 9003 9103 9203

blank none none none none none

\- 62 88 45 69 53

1 3,994 3,745 3,878 4,198 4,077

2 5,674 5,593 5,839 6,476 6,065

3 6,215 5,543 5,741 6,522 6,171

4 5,840 5,184 5,550 6,212 5,729

5 5,233 4,839 5,097 5,622 4,777

6 14,326 12,897 13,843 15,165 12,909

7 4,129 4,029 4,288 4,768 3,764

9 6 7 4 5 5

Total 45,479 41,925 44,285 49,037 43,550

FMINC80\\counts: 9303 9403 9503 9603 9703

blank none none none none none

\- 92 174 136 10 4

1 6,477 13,554 8,556 7,466 7,380

2 8,551 16,268 10,854 9,604 9,577

3 8,439 14,719 10,152 8,821 9,152

4 7,611 12,772 8,922 8,217 8,012

5 7,022 10,141 7,853 7,122 6,904

6 19,053 27,026 21,602 18,222 18,705

7 5,623 8,622 7,409 6,086 6,652

9 31 10 1 7 8

Total 62,899 103,286 75,485 65,555 66,394

FMINC80\\counts: 9803

blank none

\- 80

1 7,123

2 9,095

3 8,729

4 8,034

5 6,937

6 19,209

7 6,960

9 6

Total 66,173

[]{#FACTOR .anchor}13. Exposure factor FACTOR APPEND\[IE\]

Description:

A constant determined for each file giving the follow-up time for the
record, in years X 100, during the 1979-1998 follow-up period.

NOTE: for some cohorts, subsets of records have different start times
than the majority of records of the cohort. These alternate start times
exist because Social Security Numbers were not collected during the
standard March visit normally used by the NLMS. Instead, the Social
Security Number was collected at a different household visit, usually a
year later. In order to increase the number of records on follow-up in
the NLMS, the Social Security Number was taken from the survey in which
it was collected. The table below identifies these alternate factors and
alternative start dates. These factors and associated start dates should
be used as required for all analyses involving follow-up.

> Cohort Alternative Start Date
>
> 8603 March 25, 1987
>
> 8703 March 14, 1988
>
> 8803 March 22, 1989
>
> 8903 March 28, 1990
>
> 9003 March 27, 1991
>
> 9203 March 24, 1993
>
> 9303 March 23, 1994
>
> 9303 February 23, 1994
>
> 9303 January 23, 1994

Cohort Start Date Factor Frequency Cohort Subtotal

\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\--

7303 01/01/1979 2000 131,213

7802 01/01/1979 2000 94,662

7903 03/18/1979 1979 43,098

8008 08/17/1980 1837 182,373

8012 12/14/1980 1805 177,765

8014 04/13/1980 1872 184,871

8024 01/01/1981 1800 124,345

8103 03/15/1981 1780 61,804

8203 03/14/1982 1680 81,480

8303 03/13/1983 1580 81,281

8403 03/18/1984 1479 80,732

8503 03/17/1985 1379 80,071

8509 09/21/1985 1328 144,698

8603 03/25/1986 1277 44,059

8603 03/24/1987 1177 1,963 46,022

8703 03/24/1987 1177 43,301

8703 03/22/1988 1078 1,970 45,271

8803 03/22/1988 1078 43,564

8803 03/28/1989 976 1,915 45,479

8903 03/28/1989 976 39,945

8903 03/27/1990 876 1,980 41,925

9003 03/27/1990 876 42,190

9103 03/26/1991 777 49,037

9203 03/24/1992 677 41,629

9203 03/23/1993 577 1,921 43,550

9303 03/23/1993 577 59,095

9303 01/25/1994 493 104

9303 02/22/1994 485 49

9303 03/22/1994 478 3,651 62,899

9403 03/22/1994 478 103,286

9503 03/28/1995 376 75,485

9603 03/26/1996 277 65,555

9703 03/25/1997 177 66,394

9803 03/24/1998 77 66,173

[]{#DIV .anchor}14. Division DIV APPEND\[SE\]

Description:

The geographical division portion of the state code. The concatenation
of variables DIV and STATE form a state code. This code has been used
since 1960 as the U.S. Census Bureau's state code. The states contained
within each geographical division are shown in Attachment B.

Codes: All cohorts

0 - Unknown

1 - New England

2 - Middle Atlantic

3 - East North Central

4 - West North Central

5 - South Atlantic

6 - East South Central

7 - West South Central

8 - Mountain

9 - Pacific

DIV\\counts: 7303 7802 7903 8008 8012

0 1,032 1,927 none 1,129 218

1 8,124 5,657 2,853 13,958 14,285

2 22,452 16,071 6,247 21,436 19,725

3 25,783 17,482 6,255 27,381 24,906

4 10,338 7,059 3,580 21,700 22,218

5 19,657 14,661 5,927 26,031 26,816

6 8,322 6,103 2,284 11,039 9,272

7 13,013 9,569 4,432 15,667 14,379

8 5,688 3,993 4,643 21,152 21,768

9 16,804 12,140 6,877 22,880 24,178

Total 131,213 94,662 43,098 182,373 177,765

DIV\\counts: 8014 8024 8103 8203 8303

0 1,892 63 none 1 none

1 14,151 10,795 5,042 5,959 6,226

2 21,135 15,077 7,375 10,450 10,325

3 28,006 19,838 8,790 11,432 11,210

4 21,782 13,645 6,793 8,388 8,200

5 26,111 19,748 8,933 11,800 12,004

6 10,938 7,529 4,040 4,755 4,682

7 16,056 10,793 5,541 7,848 7,906

8 21,430 12,439 7,233 8,657 8,945

9 23,370 14,418 8,057 12,190 11,783

Total 184,871 124,345 61,804 81,480 81,281

DIV\\counts: 8403 8503 8509 8603 8703

0 none none none none none

1 5,936 6,626 12,507 3,951 4,002

2 10,121 12,382 21,817 6,599 6,218

3 10,996 12,037 22,676 7,394 7,133

4 8,489 7,326 13,951 4,597 4,488

5 11,706 12,749 24,413 7,771 7,951

6 4,452 3,567 7,177 2,265 2,251

7 7,935 7,261 12,436 4,116 3,981

8 8,814 7,251 12,996 4,239 4,251

9 12,283 10,872 16,725 5,090 4,996

Total 80,732 80,071 144,698 46,022 45,271

DIV\\counts: 8803 8903 9003 9103 9203

0 none none none none none

1 3,906 3,597 3,551 3,838 3,647

2 6,149 5,113 5,791 7,060 6,122

3 7,095 6,949 7,084 7,707 6,781

4 4,566 4,209 4,412 4,498 4,314

5 7,824 7,694 7,313 8,012 7,033

6 2,434 2,189 2,325 2,500 2,408

7 4,235 3,972 3,997 4,380 4,043

8 4,291 4,303 4,597 4,786 4,059

9 4,979 3,899 5,215 6,256 5,143

Total 45,479 41,925 44,285 49,037 43,550

DIV\\counts: 9303 9403 9503 9603 9703

0 none none none none none

1 5,200 8,065 6,078 4,622 4,633

2 9,029 16,328 11,534 9,022 9,101

3 9,415 15,150 10,807 9,110 8,816

4 6,181 8,134 5,872 5,773 5,911

5 10,497 16,023 13,855 10,230 10,382

6 3,371 4,530 3,133 3,450 3,226

7 5,466 9,773 6,665 6,391 6,601

8 6,261 9,792 7,587 7,338 8,036

9 7,479 15,491 9,954 9,619 9,688

Total 62,899 103,286 75,485 65,555 66,394

DIV\\counts: 9803

0 none

1 4,673

2 8,887

3 9,291

4 5,762

5 10,333

6 3,362

7 6,548

8 7,710

9 9,607

Total 66,173

[]{#STATE .anchor}15. State STATE APPEND\[SE\]

Description:

The code for states within geographical divisions. The concatenation of
variables DIV and STATE form a state code. This code has been used since
1960 as the U.S. Census Bureau's code to identify each state. The full
code for each state contained within a geographical division is shown in
Attachment B.

Codes: All cohorts.

1 - 9 Possible state code values

1.  Unknown or not matched to Control card

STATE\\counts: 7303 7802 7903 8008 8012

0 1,032 1,927 none 1,129 218

1 - 9 130,181 92,735 43,098 181,244 177,547

Total 131,213 94,662 43,098 182,373 177,765

STATE\\counts: 8014 8024 8103 8203 8303

0 1,892 63 none 1 none

1 - 9 182,979 124,282 61,804 81,479 81,281

Total 184,871 124,345 61,804 81,480 81,281

STATE\\counts: 8403 8503 8509 8603 8703

0 none none none none none

1 - 9 80,732 80,071 144,698 46,022 45,271

Total 80,732 80,071 144,698 46,022 45,271

STATE\\counts: 8803 8903 9003 9103 9203

0 none none none none none

1 - 9 45,479 41,925 44,285 49,037 43,550

Total 45,479 41,925 44,285 49,037 43,550

STATE\\counts: 9303 9403 9503 9603 9703

0 none none none none none

1 - 9 62,899 103,286 75,485 65,555 66,394

Total 62,899 103,286 75,485 65,555 66,394

STATE\\counts: 9803

0 none

1 - 9 66,173

Total 66,173

[]{#SMSAR .anchor}16. SMSA Rank SMSAR APPEND\[SE,IE\]

Description:

SMSAR is defined as the rank of the SMSA or Consolidated Metropolitan
Statistical Area (CSMA) or Primary Metropolitan Statistical Area (PMSA)
depending on the time period during which the cohort was sampled. In
this discussion the description, SMSA, will be used as a general label
for each of these terms. Ranks range from 1 to 98. All SMSA\'s of rank
greater than 98 have an assigned rank of 99. All areas not defined as an
SMSA will be assigned the value of "00." An MSA/CMSA/PMSA generally is
an area consisting of a large population nucleus together with adjacent
communities that have a high degree of social and eco­nomic integration
with that nucleus. The term is basically a re­placement for the previous
term SMSA, Standard Metropolitan Sta­tistical Area. The definitions of
rank, that is, what areas have the assigned rank, are given in
Attachment C. There are five different rank-definition charts in the
attachment. The NLMS cohorts having the definition of rank in each chart
are given at the top of each chart.

NOTE: The definition of SMSA rank on the 9503 file was processed by NLMS
staff to be consistent with the 1993 geographical rank definition. The
original value of rank on the 9503 file was given in terms of two
Current Population Survey design definitions, the 1980 design and the
1990 design. These definitions were given with no indication on the file
of which design definition applied. In order to make the variable usable
in analysis applications, all ranks were redefined according to the 1993
design geography.

Note: For ranks less than 10, zeros are entered for blanks. For example,
a rank of 9 is coded as 09.

Codes for files: 7303 7802 8014 8008 8012

00 - Not in an SMSA

01-98 - 1970 SMSA rank (see Attachment C, page 1)

99 - 1970 SMSA rank greater than 98

Codes for files: 7903 8024 8103 8203 8303 8403 8503

00 - Not in an SMSA

01-98 - 1973 SMSA rank (see Attachment C, page 2)

99 - 1973 SMSA rank greater than 98

Codes for files: 8603 8703

00 - Not in an SMSA

01-98 - 1980 SMSA rank (see Attachment C, page 3)

99 - 1980 SMSA rank greater than 98

Codes for files: 8509 8803 8903 9003 9103 9203 9303 9403

00 - Not in an MSA/CMSA

01-98 - 1983 MSA/CMSA rank (see Attachment C, page 4)

> 99 - 1983 MSA/CMSA greater than 98

Codes for files: 9503 9603 9703 9803

00 - Not an MSA/CMSA

01-98 -- 1993 MSA/CMSA rank (see Attachment C, page 5)

99 -- 1993 MSA/CMSA rank greater than 98

SMSAR\\counts: 7303 7802 7903 8008 8012

0 42,687 none none 74,821 none

00 none 32,893 15,294 none 71,770

01-98 72,347 50,370 22,371 85,311 83,428

99 16,179 11,399 5,433 22,241 22,567

Total 131,213 94,662 43,098 182,373 177,765

SMSAR\\counts: 8014 8024 8103 8203 8303

0 none 36,841 1,682 1 none

00 75,401 none 23,645 30,971 31,293

01-98 87,181 62,290 28,629 40,859 39,560

99 22,289 25,214 7,848 9,649 10,428

Total 184,871 124,345 61,804 81,480 81,281

SMSAR\\counts: 8403 8503 8509 8603 8703

0 none none none none none

00 30,489 28,864 40,877 13,155 12,774

01-98 40,268 41,077 83,958 23,441 22,822

99 9,975 10,130 19,863 9,426 9,675

Total 80,732 80,071 144,698 46,022 45,271

SMSAR\\counts: 8803 8903 9003 9103 9203

0 none none none none none

00 13,232 12,844 13,244 13,821 12,548

01-98 25,517 22,197 24,288 27,781 24,558

99 6,730 6,884 6,753 7,435 6,444

Total 45,479 41,925 44,285 49,037 43,550

SMSAR\\counts: 9303 9403 9503 9603 9703

0 none none none none none

00 18,352 24,859 16,909 15,136 15,376

01-98 35,329 64,294 48,695 41,514 42,088

99 9,218 14,133 9,881 8,905 8,930

Total 62,899 103,286 75,485 65,555 66,394

SMSAR\\counts: 9803

0 none

00 15,276

01-98 42,041

99 8,856

Total 66,173

[]{#MIGRAT .anchor}17. Migration MIGRAT APPEND\[SE\]

Description:

Description of the move for persons who have moved recently.

The determination of this variable is based on a composite of several
CPS responses, one of which is the answer to \"Were you living in this
house on ?\" For the March 1979 file this date was March 1, 1975, and
for the March 1981 file the date was March 1, 1980. Thus, the time in
residence for the March 1979 file was four years where but for the March
1981 file the period was one year. During the era of the 1979 through
1985 surveys, the general strategy was to set the reference point for
residence on the 1st day of the survey month for years divisible by 5.
Thus, the reference year for the 1979 survey was 1975. For the 1981
through 1984 surveys the reference year was 1980, and for 1985 the
reference year was 1985.

NOT AVAILABLE for files: 7303, 7802, 8014, 8008, 8012, 8509

Codes for files: 7903 8103 8203 8303 8403 8503

1 - Nonmovers

2 - Moved within an SMSA

3 - Moved between SMSAs

4 - Moved from a SMSA to a non SMSA

5 - Moved from a non SMSA to an SMSA

6 - Moved from a non SMSA to a non SMSA

7 - Moved from abroad to an SMSA

8 - Moved from abroad to a non SMSA

9 - Not in survey, children L.E. (file specific age)\*

Note: Children less than or equal to 13 years of age are assigned

the same moving status as their mother. However, children who were

born after the specific survey reference point for moving and

before the survey was taken are classified as 9, not in the survey

scope for this variable. This would mean that the children so

classified would have specific ages less than 4 years of age for

the 1979 file and less than 1 year of age for the 1981 file. For

March surveys after 1981 the reference point was set at 1 year

unless the year of the interview was divisible by 5. In this case

the reference period was 5 years prior on March 1. Thus, for files

8203, 8303 and 8403 the years reference point is March 1

of the previous year. For the 8503, the reference point is

March 1, 1980, implying a 5 year interval.

MIGRAT\\counts: 7903 8103 8203 8303 8403

0 none none 1 none none

1 23,076 50,038 66,797 66,704 65,972

2 7,449 4,309 5,500 5,468 5,722

3 2,317 1,253 1,624 1,552 1,620

4 1,438 756 1,013 880 863

5 892 665 741 696 777

6 4,340 3,446 4,116 4,341 4,048

7 645 274 290 242 291

8 61 64 87 121 96

9 2,880 999 1,311 1,277 1,343

Total 43,098 61,804 81,480 81,281 80,732

MIGRAT\\counts: 8503

0 none

1 42,880

2 12,383

3 4,468

4 2,502

5 1,946

6 8,327

7 1,123

8 220

9 6,222

Total 80,071

Codes for files: 8603 - 8703

01 = Nonmover

Within SMSA:

02 = Within Central City

03 = Balance To Balance

04 = Central City To Balance

05 = Balance To Central City

Between SMSAs:

06 = Central City To Central City

07 = Balance To Balance

08 = Central City To Balance

09 = Balance To Central City

Other:

10 = Central City To Non SMSA

11 = Balance To Non SMSA

12 = Non SMSA To Central City

13 = Non SMSA To Balance

14 = Non SMSA To Non SMSA

15 = Abroad To SMSA Central City

16 = Abroad To Balance SMSA

17 = Abroad To Non SMSA

MIGRAT\\counts: 8603 8703

01 38,358 37,739

02 1,429 1,359

03 1,356 1,433

04 558 523

05 336 324

06 326 313

07 500 488

08 346 309

09 226 272

10 186 161

11 231 180

12 203 235

13 235 287

14 1,590 1,526

15 63 72

16 66 38

17 13 12

Total 46,022 45,271

Codes for files: 8803 - 9803

01 = Nonmover

Within MSA:

02 = Within Same Central City

03 = Between Central Cities

04 = Balance To Balance

05 = Central City To Balance

06 = Balance To Central City

Between MSAs:

07 = Central City To Central City

08 = Balance To Balance

09 = Central City To Balance

10 = Balance To Central City

Other:

11 = Central City To Outside MSAs

12 = Balance To Outside MSA

13 = Outside MSAs To Central Cities

14 = Outside MSAs To Balance of MSAs

15 = Outside MSAs at Both Dates

16 = Abroad To Central Cities

17 = Abroad To Balance of MSAs

18 = Abroad To Outside MSAs

19 = Not In Universe (Children Under 1 Yr Old)

MIGRAT\\counts: 8803 8903 9003 9103 9203

01 38,150 35,220 37,065 41,417 36,626

02 943 839 1,202 1,458 1,425

03 530 472 118 53 48

04 1,426 1,309 1,392 1,471 1,362

05 572 461 530 584 527

06 259 239 257 269 257

07 308 313 317 336 261

08 397 345 369 445 353

09 308 281 351 320 271

10 162 161 226 186 174

11 162 156 178 211 146

12 206 187 187 224 224

13 146 102 167 138 149

14 184 200 208 190 173

15 1,580 1,470 1,525 1,511 1,405

16 66 72 83 106 80

17 49 75 84 91 52

18 31 23 26 27 17

19 none none none none none

Total 45,479 41,925 44,285 49,037 43,550

MIGRAT\\counts: 9303 9403 9503 9603 9703

01 53,132 78,213 39,299 54,300 55,077

02 1,820 4,822 5,105 2,148 2,214

03 73 166 261 61 61

04 1,797 4,571 6,457 2,123 2,155

05 625 1,739 2,285 816 862

06 377 855 1,139 398 403

07 336 872 1,270 408 419

08 427 1,181 2,287 648 587

09 358 910 1,442 458 379

10 244 545 972 290 271

11 249 562 763 278 213

12 247 661 996 269 311

13 157 458 583 160 159

14 198 464 749 206 228

15 2,003 4,290 4,428 1,642 1,768

16 132 277 710 136 161

17 60 334 737 188 120

18 35 110 141 42 38

19 629 2,256 5,861 984 968

Total 62,899 103,286 75,485 65,555 66,394

MIGRAT\\counts: 9803

01 55,118

02 2,197

03 60

04 2,036

05 624

06 385

07 396

08 595

09 405

10 288

11 233

12 322

13 149

14 296

15 1,815

16 115

17 170

18 35

19 934

Total 66,173

[]{#IND .anchor}18. Industry IND1990 APPEND\[SE,IE\]

Description:

Job specific 1990 industrial classification codes.\* Specific codes for
industries are given in Attachment D.

Number range CHAPTER1990 industry codes for NLMS cohorts March 1992
through March 1998 were taken directly from the Census Bureau's Data
Processing Center I&O coding found permanently on the NLMS masterfiles
for these cohorts. For cohorts collected prior to 1992, original coding
in Jeffersonville was done according to the definitions used at the
time. These codes were translated, for NLMS purposes, to a "best" choice
1990 code. Using documented Demographic Surveys Division(DSD)
translations of 1970 industrial coding for the 1973 through 1982 NLMS
cohorts, the 1970 industrial codes found on cohort masterfiles were
first converted to 1980 industrial codes. For 1970 industrial codes
which translated into more than one 1980 code according to results on a
DSD designed test sample, the 1980 industrial translation assigned, for
NLMS purposes, was the most frequently corresponding 1980 code indicated
on the DSD test file. A 1990 industrial code was then identified for
these 1980 codes using DSD predetermined translations. The industrial
classification codes contained on masterfile records for NLMS cohorts
1983 through 1991 used 1980 codes. These codes were converted to 1990
industrial codes using the same DSD documentation used to translate 1980
codes to 1990 codes for the 1973 through 1982 NLMS cohorts.

NOTE: Errors will be generated by the strategy used to assign a 1970
industry to a particular 1980 industry for those 1970 industries for
which there were multiple choices for a 1980 industry occur. The
decision to assign the most frequently occurring translation according
to the results of a test file from the 1980 Census was made to minimize
the translation errors.

NOTE: Industrial classifications change over the decades and the 1990
definition list has industries that were not classified in 1970 or in
1980. In particular, armed forces personnel were not classified until
after 1991. Military classifications have been converted to missing for
NLMS Industry classification purposes.

Reference: 1990 Census of Population and Housing. Alphabetical Index of
Industries and Occupations. 1990 CPH-R-3.

NOT AVAILABLE for files: 8024

Codes for files: 7303 7802 7903 8014 8008 8012 8103 8203 8303 8403

8503 8509 8603 - 9803

001-932 -- Valid industry code

991 -- Classified as military

bl - Never worked, unknown, or age L.E. 13 years

IND\\counts: 7303 7802 7903 8008 8012

blank 71,613 36,632 21,419 89,958 89,529

000 none none none none none

001 - 932 59,600 58,030 21,679 92,415 88,236

991

Total 131,213 94,662 43,098 182,373 177,765

IND\\counts: 8014 8103 8203 8303 8403

blank 92,648 32,178 41,091 40,744 40,477

000 none none none none none

001 - 932 92,223 29,626 40,389 40,537 40,255

991

Total 184,871 61,804 81,480 81,281 80,732

IND\\counts: 8503 8509 8603 8703 8803

blank 39,705 70,568 14,664 13,992 15,044

000 none none none none none

001 - 932 40,366 74,130 31,358 31,279 30,435

991

Total 80,071 144,698 46,022 45,271 45,479

IND\\counts: 8903 9003 9103 9203 9303

blank 13,612 14,390 15,462 none none

000 none none none 14,042 28,150

001 - 932 28,313 29,895 33,575 29,508 34,749

991

Total 41,925 44,285 49,037 43,550 62,899

IND\\counts: 9403 9503 9603 9703 9803

blank none none none none none

000 52,891 37,622 32,700 32,776 32,451

001 - 932 50,395 37,863 32,855 33,618 33,722

991

Total 103,286 75,485 65,555 66,394 66,173

[]{#MAJIND .anchor}19. Major Industry MAJIND90 APPEND\[SE\]

Description:

Number range CHAPTERMajor industry classification recode for the
specific 1990 industry classification.

NOT AVAILABLE for files: 8024

Codes for files: 7303 chronologically up through 9803, not 8024

Blank -- Industry missing, not reported, unknown

01 -- Agriculture, Forestry, & Fisheries (010-032)

02 -- Mining (040-050)

03 -- Construction (060)

04 -- Manufacturing (Nondurable Goods) (100-222)

05 -- Manufacturing (Durable Goods) (230-392)

06 -- Transportation, Communications &

Other Public Utilities (400-472)

07 -- Wholesale Trade (Durable Goods) (500-532)

08 -- Wholesale Trade (Nondurable Goods) (540-571)

09 -- Retail Trade (580-691)

10 -- Finance, Insurance & Real Estate (700-712)

11 -- Business & Repair Services (721-760)

12 -- Personal Services (761-791)

13 -- Entertainment, Recreational Services (800-810)

14 -- Professional and Related Services (812-893)

15 -- Public Administration (900-932)

17 -- Active Duty Military (991)

MAJIND90\\counts: 7303 7802 7903 8008 8012

71,613 36,632 21,419 89,958 89,529

00 none none none none none

01 2,490 1,899 886 4,700 3,668

02 441 509 185 1,151 1,125

03 3,691 3,566 1,373 6,242 5,773

04 5,992 5,555 1,932 7,681 7,280

05 8,371 7,580 2,841 11,040 10,366

06 4,185 4,083 1,440 6,409 6,111

07 1,122 1,077 364 1,706 1,456

08 1,286 1,216 456 1,862 1,798

09 10,057 9,948 3,732 15,527 15,140

10 3,006 3,284 1,092 5,122 4,926

11 1,802 1,801 753 3,046 3,009

12 3,017 2,505 989 4,345 3,824

13 606 676 237 1,252 1,002

14 11,026 11,704 4,390 17,629 18,578

15 2,508 2,627 1,009 4,703 4,180

17 none none none none none

Total 131,213 94,662 43,098 182,373 177,765

MAJIND90\\counts: 8014 8024 8103 8203 8303

92,648 none 32,178 41,091 40,744

00 none 124,345 none none none

01 4,108 none 1,141 1,643 1,655

02 1,049 none 356 571 557

03 5,898 none 1,932 2,484 2,601

04 7,812 none 2,468 3,397 3,284

05 11,356 none 3,690 4,735 4,586

06 6,430 none 2,018 2,754 2,638

07 1,714 none 539 780 894

08 1,781 none 657 869 771

09 15,515 none 4,856 6,723 6,849

10 5,070 none 1,695 2,306 2,271

11 3,093 none 1,070 1,591 1,643

12 3,919 none 1,287 1,731 1,871

13 1,072 none 337 447 498

14 18,897 none 6,166 8,484 8,426

15 4,509 none 1,414 1,874 1,959

17 none none none none 34

Total 184,871 124,345 61,804 81,480 81,281

MAJIND90\\counts: 8403 8503 8509 8603 8703

40,477 39,705 70,568 14,664 13,992

00 none none none none none

01 1,610 1,381 2,662 1,181 1,227

02 460 415 702 335 254

03 2,633 2,608 5,046 2,054 2,021

04 3,244 3,246 5,670 2,460 2,238

05 4,370 4,563 8,071 3,390 3,228

06 2,718 2,762 5,023 2,002 2,060

07 836 809 1,519 587 618

08 696 725 1,304 592 558

09 6,864 6,905 12,856 5,332 5,422

10 2,348 2,528 4,560 1,769 1,926

11 1,840 1,878 3,644 1,460 1,561

12 1,715 1,744 3,181 1,281 1,204

13 513 493 1,038 448 433

14 8,466 8,492 15,435 6,860 6,998

15 1,908 1,798 3,383 1,572 1,479

17 34 19 36 35 52

Total 80,732 80,071 144,698 46,022 45,271

MAJIND90\\counts: 8803 8903 9003 9103 9203

15,044 13,612 14,390 15,462 none

00 none none none none none

01 958 973 1,010 1,068 890

02 244 201 242 257 229

03 1,899 1,823 1,859 2,084 1,859

04 2,334 2,167 2,181 2,505 2,210

05 3,235 2,935 3,164 3,379 2,881

06 2,070 1,924 1,954 2,268 1,905

07 590 564 587 713 617

08 569 500 497 596 554

09 5,082 4,710 5,053 5,585 4,992

10 2,047 1,826 1,886 2,149 1,821

11 1,555 1,507 1,607 1,804 1,487

12 1,118 1,120 1,177 1,177 1,107

13 366 312 351 446 438

14 6,879 6,398 6,867 7,951 7,120

15 1,479 1,342 1,450 1,579 1,380

17 10 11 10 14 14,060

Total 45,479 41,925 44,285 49,037 43,550

MAJIND90\\counts: 9303 9403 9503 9603 9703

none none none none none

00 none none none none none

01 1,101 1,559 1,229 1,078 988

02 255 300 225 192 213

03 2,055 3,061 2,386 2,094 2,200

04 2,417 3,534 2,639 2,149 2,130

05 3,247 4,574 3,358 3,032 3,000

06 2,406 3,338 2,510 2,195 2,218

07 669 880 754 618 611

08 599 893 666 582 580

09 6,101 9,034 6,445 5,713 5,911

10 2,093 3,181 2,350 2,041 2,075

11 1,892 3,055 2,197 2,126 2,169

12 1,298 2,085 1,514 1,310 1,308

13 569 859 644 604 686

14 8,369 11,849 9,137 7,725 8,070

15 1,659 2,168 1,796 1,384 1,449

17 28,169 52,916 37,635 32,712 32,786

Total 62,899 103,286 75,485 65,555 66,394

MAJIND90\\counts: 9803

none

00 none

01 959

02 186

03 2,193

04 2,054

05 3,022

06 2,262

07 673

08 530

09 5,902

10 2,190

11 2,268

12 1,319

13 618

14 8,103

15 1,436

17 32,458

Total 66,173

[]{#OCC .anchor}20. Occupation OCC1990 APPEND\[SE,IE\]

Description:

Number range CHAPTERJob specific 1990 occupational classification codes.
Specific

1990 occupation codes are given in Attachment D.

1990 occupation codes for NLMS cohorts 1992 through 1998 were taken
directly from the Census Bureau's Data Processing Center I&O coding
found permanently on the NLMS masterfiles for these cohorts. For cohorts
collected prior to 1992, original coding in Jeffersonville was done
according to the definitions used at the time. These codes were
translated, for NLMS purposes, to a "best" choice 1990 code. Using
documented Demographic Surveys Division(DSD) translations of 1970
occupational coding for the 1973 through 1982 NLMS cohorts, the 1970
occupational codes found on cohort masterfiles were first converted to
1980 occupational codes. For 1970 occupational codes which translated
into more than one 1980 code translation was made according to results
from a DSD developed test sample, the 1980 occupational translation
assigned, for NLMS purposes, was the most frequently corresponding 1980
code indicated on the test file. The 1990 occupational code was then
identified for these 1980 codes using DSD predetermined translations.
The occupational classification codes contained on masterfile records
for NLMS cohorts 1983 through 1991 were 1980 codes. These codes were
converted to 1990 occupational codes using the same DSD documentation
used to translate 1980 codes to 1990 codes for the 1973 through 1982
NLMS cohorts.

NOTE: Errors will be generated by the strategy used to assign a 1970
occupation to a particular 1980 occupation for those 1970 occupations
for which there were multiple choices for a 1980 occupation. The
decision to assign the most frequently occurring translation according
to the results of a test file from the 1980 Census was made to minimize
the translation errors.

NOTE: occupational classifications change over the decades and the 1990
definition list has occupations that were not classified in 1970 or in
1980. In particular, armed forces personnel were not classified until
after 1991. Military classifications have been converted to missing for
NLMS occupational classification purposes.

Reference: 1990 Census of Population and Housing. Alphabetical Index of
Industries and Occupations. 1990 CPH-R-3.

NOT AVAILABLE for files: 8024

Codes for file: All files except 8024

blank - Never worked, unknown, or age L.E. 13 years.

000 - Never worked, unknown, or age L.E. 13 years.

003-889 - Valid Occupational Codes

905 - Classified active military

OCC\\counts: 7303 7802 7903 8008 8012

blank 71,520 36,577 21,393 89,880 89,480

000 none none none none none

003 - 889 59,693 58,085 21,705 92,493 88,285

905

Total 131,213 94,662 43,098 182,373 177,765

OCC\\counts: 8014 8103 8203 8303 8403

blank 92,480 32,109 41,025 40,774 40,497

000 none none none none none

003 - 889 92,391 29,695 40,455 40,507 40,235

905

Total 184,871 61,804 81,480 81,281 80,732

OCC\\counts: 8503 8509 8603 8703 8803

blank 39,745 70,624 14,687 14,020 15,074

000 none none none none none

003 - 889 40,326 74,074 31,335 31,251 30,405

905

Total 80,071 144,698 46,022 45,271 45,479

OCC\\counts: 8903 9003 9103 9203 9303

blank 13,627 14,416 15,485 none none

000 none none none 14,042 28,150

003 - 889 28,298 29,869 33,552 29,508 34,749

905

Total 41,925 44,285 49,037 43,550 62,899

OCC\\counts: 9403 9503 9603 9703 9803

blank none none none none none

000 52,891 37,622 32,700 32,776 32,451

003 - 889 50,395 37,863 32,855 33,618 33,722

905

Total 103,286 75,485 65,555 66,394 66,173

21\. Major Occupation MAJOCC90 APPEND\[SE\]

[]{#majocc .anchor}Description:

Major occupation classification recode of 1990 specific occupation
codes.

NOT AVAILABLE for files: 8024

Codes for files: 7303 chronologically up through 9803, not 8024

**Managerial & Professional Specialties**

01 -- Executive, administrative, Managerial (003-037)

02 -- Professional Specialties (043-199)

**Technical, Sales & Administrative Support**

> 03 -- Technicians and Related Support (203-235)

04 -- Sales (243-285)

05 -- Administrative Support including clerical (303-389)

**Service Occupations**

06 -- Private Household (403-407)

07 -- Protective Services (413-427)

08 -- Service excluding Private and Protective (433-469)

**Farming, Forestry & Fishing**

09 -- Farm Operators & Managers (473-476)

10 -- Other Agricultural and related (477-499)

**Precision Production, Crafts & Repair**

11 -- Mechanics & Repairers (503-549)

12 -- Construction Trades (553-599)

13 -- Extractive (613-617)

14 -- Precision Production (628-699)

**Operators, Fabricators & Laborers**

> 15 -- Machine Operators, Assemblers & Inspectors (703-799)

16 -- Transportation & Materials Moving (803-859)

17 -- Handlers, Equipment Cleaners,

Helpers & Laborers (864-889)

**Military Occupations**

> 18 -- Military Occupations (905)

19 -- Occupation Not Reported (999)

00 -- Occupation missing, unknown

MAJOCC90\\counts: 7303 7802 7903 8008 8012

71,520 36,577 21,393 89,880 89,480

00 none none none none none

01 5,197 5,628 1,910 9,285 8,905

02 6,288 6,541 2,371 9,837 10,356

03 1,312 1,390 471 2,253 2,305

04 6,222 6,148 2,173 9,408 9,477

05 9,188 9,168 3,372 14,579 13,965

06 1,333 1,030 350 1,366 1,275

07 801 799 286 1,177 1,171

08 6,422 6,579 2,748 10,914 10,219

09 1,111 781 309 1,887 1,629

10 1,658 1,253 633 3,329 2,185

11 2,322 2,247 791 3,419 3,286

12 2,308 2,270 822 3,888 3,494

13 107 118 51 296 315

14 2,434 2,284 860 3,496 3,332

15 6,794 5,926 2,366 8,490 7,980

16 2,724 2,613 929 4,085 3,837

17 3,472 3,310 1,263 4,784 4,554

18 none none none none none

19 none none none none none

Total 131,213 94,662 43,098 182,373 177,765

MAJOCC90\\counts: 8014 8024 8103 8203 8303

92,480 none 32,109 41,025 40,774

00 none 124,345 none none none

01 8,878 none 3,161 4,219 4,052

02 10,619 none 3,479 4,691 4,716

03 2,424 none 789 1,038 1,050

04 9,563 none 3,052 4,148 4,580

05 14,815 none 4,702 6,411 6,332

06 1,290 none 429 606 571

07 1,251 none 421 550 607

08 10,891 none 3,364 4,881 4,957

09 1,725 none 508 692 647

10 2,588 none 697 1,033 1,064

11 3,651 none 1,197 1,511 1,594

12 3,632 none 1,236 1,582 1,734

13 269 none 105 154 146

14 3,529 none 1,183 1,493 1,421

15 8,525 none 2,684 3,652 3,333

16 3,987 none 1,265 1,705 1,761

17 4,753 none 1,422 2,089 1,908

18 1 none 1 none 34

19 none none none none none

Total 184,871 124,345 61,804 81,480 81,281

MAJOCC90\\counts: 8403 8503 8509 8603 8703

40,497 39,745 70,624 14,687 14,020

00 none none none none none

01 4,120 4,348 7,924 3,237 3,511

02 4,876 4,797 9,033 3,956 4,065

03 1,143 1,112 2,209 966 860

04 4,551 4,729 8,655 3,706 3,689

05 6,210 6,413 11,713 4,977 5,004

06 521 537 855 360 313

07 567 599 1,149 529 512

08 5,012 4,916 8,778 3,646 3,653

09 669 537 1,076 472 461

10 973 870 1,853 801 795

11 1,582 1,598 2,878 1,257 1,177

12 1,729 1,714 3,341 1,361 1,290

13 97 117 143 77 52

14 1,434 1,405 2,625 1,149 1,078

15 3,163 3,114 5,359 2,206 2,071

16 1,771 1,699 3,104 1,267 1,320

17 1,783 1,802 3,343 1,333 1,348

18 34 19 36 35 52

19 none none none none none

Total 80,732 80,071 144,698 46,022 45,271

MAJOCC90\\counts: 8803 8903 9003 9103 9203

15,074 13,627 14,416 15,485 none

00 none none none none none

01 3,694 3,418 3,630 4,119 3,548

02 4,026 3,796 3,923 4,520 3,962

03 899 871 973 1,042 1,056

04 3,526 3,310 3,481 3,866 3,395

05 4,916 4,309 4,705 5,296 4,819

06 245 242 219 219 209

07 458 473 524 539 512

08 3,405 3,218 3,431 3,918 3,458

09 417 403 418 430 374

10 526 547 565 633 511

11 1,206 1,085 1,076 1,244 1,069

12 1,275 1,143 1,250 1,422 1,216

13 57 44 41 54 55

14 1,038 941 1,003 1,046 922

15 2,219 2,089 2,070 2,377 1,964

16 1,253 1,206 1,227 1,427 1,180

17 1,235 1,192 1,323 1,386 1,240

18 10 11 10 14 18

19 none none none none 14,042

Total 45,479 41,925 44,285 49,037 43,550

MAJOCC90\\counts: 9303 9403 9503 9603 9703

none none none none none

00 none none none none none

01 4,408 5,998 4,911 4,355 4,587

02 4,818 6,742 5,393 4,592 4,840

03 1,116 1,550 1,096 950 1,061

04 4,167 6,007 4,631 3,931 4,033

05 5,220 7,534 5,528 4,774 4,795

06 275 433 312 272 271

07 591 836 627 508 570

08 4,192 6,561 4,623 3,990 4,058

09 436 592 504 396 359

10 676 962 693 652 636

11 1,141 1,735 1,248 1,183 1,144

12 1,370 2,128 1,570 1,335 1,441

13 56 65 51 44 56

14 1,075 1,600 1,150 928 982

15 2,305 3,356 2,449 2,157 2,070

16 1,478 1,994 1,499 1,388 1,338

17 1,406 2,277 1,565 1,388 1,367

18 19 25 13 12 10

19 28,150 52,891 37,622 32,700 32,776

Total 62,899 103,286 75,485 65,555 66,394

MAJOCC90\\counts: 9803

none

00 none

01 4,485

02 4,893

03 1,041

04 4,086

05 4,801

06 293

07 564

08 4,138

09 360

10 597

11 1,187

12 1,480

13 47

14 1,003

15 2,061

16 1,350

17 1,329

18 7

19 32,451

Total 66,173

[]{#ESR .anchor}22. Employment Status Recode ESR APPEND\[SE, RE\]

Description:

The variable ESR was collected according to three different definitions
depending on the date of interview for the cohort. The first definition
applies to cohorts 7303 through 8703, the original 13 NLMS cohorts, plus
the first two cohorts, chronologically, of the expanded NLMS. For these
cohorts, ESR was defined exactly as answered for question 18e(?) on the
survey and the responses were entered directly into the CPS record.

The second definition used was collected beginning in March of 1988. For
these cohorts, the variable ESR was dropped from collection on the CPS
and replaced by two other variables: LFSR, labor force status recode,
and MAJACT, "what was your major activity last week?" By combining
responses of these two variables in the appropriate way, a set of
categories were developed for the NLMS which are equivalent to the ESR
definition used for the earlier CPS cohorts. This ESR definition
remained valid as an approach to reconstructing the variable ESR until
March of 1994. The values of ESR defined for these two sets of NLMS
cohorts are defined below.

For cohorts 9403 chronologically up through 9803, the third definition
of ESR used for the NLMS is taken directly from the CPS variable
constructed for this type of information called, PEMLR, monthly labor
force recode. Variables considered for the definition of ESR for files
before 1994 are not valid after 1993 even though the variables may exist
on NLMS masterfiles.

NOT AVAILABLE for files: 8024

Codes for files: 7303 chronologically up through 9303.

0 - Not in the universe (e.g. age L.E. 13 years, no match to CPS)

1 - In the labor force, employed

2 - In the labor force, employed, not working

3 - In the labor force, unemployed but looking for work

4 - Not in the labor force, housekeeping

5 - Not in the labor force, at school

6 - Not in the labor force, unable to work

7 - Not in the labor force, other, retired

ESR\\counts: 7303 7802 7903 8008 8012

0 33,734 760 10,439 41,188 40,403

1 51,211 49,604 17,759 72,960 75,814

2 2,100 2,458 700 9,050 2,584

3 3,017 3,892 1,379 6,774 5,843

4 22,181 19,157 6,278 26,874 25,533

5 10,240 9,176 3,033 1,328 12,246

6 1,782 1,489 590 1,951 1,892

7 6,948 8,126 2,920 22,248 13,450

Total 131,213 94,662 43,098 182,373 177,765

ESR\\counts: 8014 8103 8203 8303 8403

0 41,534 13,897 18,406 18,061 18,081

1 77,725 26,419 33,431 33,376 34,140

2 4,145 1,089 1,470 1,439 1,471

3 6,020 2,255 3,747 4,252 3,183

4 26,540 8,402 11,282 10,907 10,597

5 12,307 4,177 5,750 5,754 5,466

6 2,368 681 841 823 931

7 14,232 4,884 6,553 6,669 6,863

Total 184,871 61,804 81,480 81,281 80,732

ESR\\counts: 8503 8509 8603 8703 8803

0 17,324 31,073 238 11 441

1 34,532 63,854 26,028 26,127 26,522

2 1,440 2,947 1,107 1,142 1,114

3 3,044 4,671 2,132 1,968 1,691

4 10,092 18,297 7,487 7,047 6,851

5 5,492 9,028 2,793 2,844 2,378

6 819 1,404 649 586 669

7 7,328 13,424 5,588 5,546 5,813

Total 80,071 144,698 46,022 45,271 45,479

ESR\\counts: 8903 9003 9103 9203 9303

0 483 408 583 386 11,041

1 24,677 26,123 29,020 25,198 29,901

2 1,100 1,145 1,191 1,111 1,321

3 1,441 1,622 2,199 2,202 2,403

4 6,139 6,315 6,567 5,711 6,686

5 2,093 2,270 2,513 2,231 3,006

6 688 743 797 710 1,036

7 5,304 5,659 6,167 6,001 7,505

Total 41,925 44,285 49,037 43,550 62,899

Codes for files: 9403 chronologically up through 9803

0 -- children under 14 years, armed forces

1 - Employed, at work

2 - Employed, absent from work

3 - Unemployed, on layoff

4 - Unemployed, looking for work

5 - Not in the labor force, retired

6 - Not in the labor force, disabled

7 - Not in the labor force, other

ESR\\counts: 9403 9503 9603 9703 9803

0 26,710 18,011 15,706 15,553 15,775

1 44,458 33,931 29,455 30,319 30,578

2 1,667 1,421 1,112 1,095 1,132

3 529 359 300 342 309

4 3,154 1,814 1,649 1,550 1,415

5 10,652 8,768 7,579 7,901 7,693

6 2,753 2,202 1,870 1,974 1,930

7 13,363 8,979 7,884 7,660 7,341

Total 103,286 75,485 65,555 66,394 66,173

[]{#AGE .anchor}23. Age AGE APPEND\[SE,RE\]

Description:

Age of person at the time of survey \*\*. To obtain the information on
age, the interviewer first asks the respondent for the persons exact
date of birth. If interviewer can't get it, then the interviewer asks
for an approximate date of birth. Finally, the interviewer asks for the
person's age. If the interviewer can't get it, then a best estimate of
age is sought. Back at the Regional Office, age, if given, is updated to
account for aging. Thus, age is determined with varying degrees of
certainty. There are no analyses which assess the validity of any
version of the obtained response, nor are there indicators on files
which show the interviewer confidence in either the date of birth or the
age response obtained.

If age was not available on CPS record, then age was taken from NDI
control file data. If age did not exist for either of these two files
and month and year of birth were available on the control file then age
was computed using month and year of birth. Otherwise, age is missing.
For all files, the missing value code is 99. For all files, ages 98
years and older have been recorded to age 98 years.

Note: For the 7903 and 8103 files it was observed through past analysis
that an unusually large number of persons were age 98.

A special review of this problem was undertaken and a decision made to
recompute a proper age based on year of birth. This action has been
permanently implemented on these two files.

Codes for files: \*\*7802\* 8014\* 8008\* 8012\* 8509

Age range 14-98 0-98 0-98 0-98 0-98

Codes for files: \*\*7303\* 7903 8103 8203 8303 8403 8503

Age range 0-98 0-98 0-98 0-98 0-98 0-98 0-98

Codes for files: 8603 8703 8803 8803 8903 9003

Age range 13-98 14-98 14-98 14-98 14-98 14-98

Codes for files: 9103 9203 9303 9403 9503 9603

Age range 14-98 14-98 0-98 0-98 0-98 0-98

Codes for files: 9703 9803

Age range 0-98 0-98

Codes for files: 8024\*\*\*

Age range 0-98

\*Note: In these files, when the difference in age between the control
file age and CPS age is greater than 10 years and neither entry is
missing, then age is defined to be missing.

\*\*Note: Since mortality follow-up begins in 1979, add 6 to given age
for 7303 file and add 1 to given age for 7802 file to obtain age at
start of follow-up.

\*\*\*Note: The start of follow-up for the 8024 file has been redefined
to be January 1, 1981. For this reason, to obtain an approximately
correct age for the 8024 file, add 1 to the given age on the file.

[]{#CENT .anchor}24. Century of Birth CENT

Description:

Century of date of birth.

NOT AVAILABLE for files: 7303 7903 chronologically up through 8509

9103, 9403, 9603, 9803

Codes for files: 7802, 8603, 8703, 8803, 8903, 9003, 9203, 9303,

9503, 9703

bl -- missing or not collected

8 -- born in the century of the 1800's

9 -- born in the century of the 1900's

CENT\\counts: 7802 8603 8703 8803 8903

681 none none none none

8 2,838 274 227 159 115

9 91,143 45,748 45,044 45,320 41,810

Total 94,662 46,022 45,271 45,479 41,925

CENT\\counts: 9003 9203 9303 9503 9703

none none none none none

8 68 48 37 36 14

9 44,217 43,502 62,862 75,449 66,380

Total 44,285 43,550 62,899 75,485 66,394

[]{#YOB .anchor}25. Year of Birth\*\* YOB APPEND\[IE\]

Description:

Year of birth. For cohorts 7303 - 8509, year of birth is not saved on
CPS files. These data were collected from control card information for
the file. When file originated from a source other than CPS, YOB was
taken from that source.

For new cohorts 8603 - 9303, 9503, and 9703 - 9803, the source is the RF
files, match files, submitted to NDI for the 2001 match. For 9403 and
9603 the source is the master files.

NOT AVAILABLE for files: 8024, 9103

\*\*Note: The century can be either 1800 or 1900 for the same two digit
year-of-birth codes.

YOB\\counts: 7303 7802 7903 8008 8012

789 2 1,072 449 2,142

( 1 none none none none

-1 none none none none none

-2 none none none none none

-3 none none none none none

0 5 672 none none none

0- none none 393 none none

00-99 130,417 93,887 41,633 181,924 175,623

9\> 1 none none none none

X none 94 none none none

XX none 7 none none none

Total 131,213 94,662 43,098 182,373 177,765

YOB\\counts: 8014 8103 8203 8303 8403

527 968 429 858 2,016

( none none none none none

-1 none none none none none

-2 none none none none none

-3 none none none none none

0 none none none none none

0- none 551 835 757 954

00-99 184,344 60,285 80,216 79,666 77,762

9\> none none none none none

X none none none none none

XX none none none none none

Total 184,871 61,804 81,480 81,281 80,732

YOB\\counts: 8503 8509 8603 8703 8803

1,848 none none none none

( none none none none none

-1 none none none none none

-2 none none none none none

-3 none none none none none

0 none none none none none

0- 1,131 none none none none

00-99 77,092 144,698 46,022 45,271 45,479

9\> none none none none none

X none none none none none

XX none none none none none

Total 80,071 144,698 46,022 45,271 45,479

YOB\\counts: 8903 9003 9103 9203 9303

none none 49,037 none none

( none none none none none

-1 none none none none none

-2 none none none none none

-3 none none none none none

0 none none none none none

0- none none none none none

00-99 41,925 44,285 none 43,550 62,899

9\> none none none none none

X none none none none none

XX none none none none none

Total 41,925 44,285 49,037 43,550 62,899

YOB\\counts: 9403 9503 9603 9703 9803

none none none none none

( none none none none none

-1 12 12 8 6 7

-2 914 355 283 326 221

-3 622 223 235 301 221

0 none none none none 9

0- none none none none none

00-99 101,738 74,895 65,029 65,761 65,715

9\> none none none none none

X none none none none none

XX none none none none none

Total 103,286 75,485 65,555 66,394 66,173

[]{#POB .anchor}26. Place of Birth POB APPEND\[SE\]

Description:

Place of birth is collected from control card or from special sources
when the control file was constructed by the original file sponsor. All
file sources have been standardized into the National Death Index
Geographical codes for states.

NOT AVAILABLE for files: 7303 7903 8024 8103 8203 8303 8403 8503

8509 8603 - 9803

Codes for files: 7802\*, 8014, 8008, 8012

\*Note: Only available for small fraction of the 7802 file.

National Death Index Geographical Codes for State

(or Foreign Country of Residence and Birth)

Source: National Death Index User\'s Manual, October 1997.

01 Alabama 21 Maryland 41 South Carolina

02 Alaska 22 Massachusetts 42 South Dakota

03 Arizona 23 Michigan 43 Tennessee

04 Arkansas 24 Minnesota 44 Texas

05 California 25 Mississippi 45 Utah

06 Colorado 26 Missouri 46 Vermont

07 Connecticut 27 Montana 47 Virginia

08 Delaware 28 Nebraska 48 Washington

09 District of Columbia 29 Nevada 49 West Virginia

10 Florida 30 New Hampshire 50 Wisconsin

11 Georgia 31 New Jersey 51 Wyoming

12 Hawaii 32 New Mexico 52 Puerto Rico

13 Idaho 33 New York State 53 Virgin Islands

14 Illinois 34 North Carolina 54 Guam

15 Indiana 35 North Dakota 55 Canada

16 Iowa 36 Ohio 56 Cuba

17 Kansas 37 Oklahoma 57 Mexico

18 Kentucky 38 Oregon 59 Rest of World

19 Louisiana 39 Pennsylvania 99 Unknown

20 Maine 40 Rhode Island

POB\\counts: 7802 8008 8012 8014

01 373 3,369 3,294 3,331

02 8 741 692 766

03 61 1,261 1,380 1,272

04 171 2,706 1,386 3,042

05 885 8,930 8,954 8,977

06 86 2,408 2,153 2,300

07 167 1,787 1,687 1,730

08 41 1,001 1,080 1,042

09 120 1,347 1,344 1,268

10 280 2,222 2,135 2,434

11 396 3,336 3,292 3,316

12 46 1,320 1,393 1,303

13 42 1,783 1,766 1,838

14 840 7,253 6,998 7,444

15 342 3,645 3,481 3,736

16 205 3,487 3,451 3,557

17 201 2,857 2,850 2,875

18 300 3,662 2,117 3,864

19 325 2,788 2,858 2,898

20 80 1,983 1,981 1,991

21 201 2,837 2,808 2,933

22 470 4,237 4,164 4,286

23 47 5,467 4,662 5,689

24 269 3,676 3,719 4,043

25 209 3,354 3,106 3,201

26 372 5,281 5,066 5,159

27 none 1,734 1,798 1,883

28 70 2,602 2,450 2,723

29 8 675 676 661

30 59 1,086 1,272 1,291

31 474 3,686 2,615 3,816

32 59 1,858 1,755 1,735

33 1,380 10,236 10,210 11,020

34 481 3,341 3,494 3,644

35 53 2,563 2,674 2,531

36 766 7,194 6,180 7,590

37 142 2,880 2,749 2,876

38 108 1,788 1,916 1,815

39 926 8,337 7,857 8,175

40 66 1,553 1,538 1,798

41 233 2,189 2,185 2,326

42 60 2,318 2,437 2,448

43 384 2,480 2,509 2,836

44 809 7,379 7,556 7,785

45 73 2,757 2,790 2,817

46 17 1,374 1,336 1,462

47 302 2,881 3,034 2,943

48 200 2,328 2,399 2,527

49 180 2,645 2,993 2,858

50 288 3,895 3,727 3,807

51 21 1,080 1,018 1,167

52 109 none none none

53 2 none none none

54 2 none none none

55 67 none none none

56 34 none none none

57 218 none none none

59 2,978 11,185 10,779 11,382

99 77,556 7,591 10,001 4,660

Total 94,662 182,373 177,765 184,871

[]{#HISP .anchor}27. Hispanic origin HISP APPEND\[SE\]

Description:

Hispanic origin classifies all persons by Hispanic origin or other. The
March 1973 (7303) and the E-sample (8024) files have been recoded to
conform to the coding of the remaining files. Thus, the code for a
Mexican person was defined as 3 for these two files. For 8024, Central
and South Americans were coded as a 7, other Spanish. For all files
after 8509 the definition of HISP is derived from the CPS variable
ORIGIN with all valid entries of ORIGIN not of interest for HISP being
recoded to, "All Other."

Codes for files: All cohorts

0 - Unknown

1 - Mexican American

2 - Chicano

3 - Mexican (Mexicano)

4 - Puerto Rican

5 - Cuban

6 - Central and South American

7 - Other Spanish

8 - All other

9 - Don\'t know - not available

HISP\\counts: 7303 7802 7903 8008 8012

0 1,032 2,794 519 6,001 4,490

1 none 1,588 2,431 3,564 3,737

2 none 71 150 220 242

3 4,004 902 1,783 1,920 2,118

4 870 626 989 1,244 974

5 482 309 427 543 260

6 367 312 476 795 747

7 882 518 939 1,397 1,411

8 109,176 85,370 34,484 164,190 161,520

9 14,400 2,172 900 2,499 2,266

Total 131,213 94,662 43,098 182,373 177,765

HISP\\counts: 8014 8024 8103 8203 8303

0 6,634 5,013 702 802 787

1 3,625 none 1,219 2,955 3,001

2 259 none 86 139 72

3 1,842 4,196 734 1,752 1,750

4 1,157 930 374 1,151 1,086

5 470 463 174 442 479

6 660 none 280 765 708

7 1,303 1,924 463 791 821

8 166,170 111,819 56,646 71,099 71,114

9 2,751 none 1,126 1,584 1,463

Total 184,871 124,345 61,804 81,480 81,281

HISP\\counts: 8403 8503 8509 8603 8703

0 775 655 775 none none

1 2,898 2,664 2,944 1,176 1,266

2 156 125 112 56 40

3 1,921 1,865 1,492 503 466

4 1,179 1,075 1,163 419 362

5 449 516 423 263 252

6 814 836 941 278 287

7 835 893 925 443 419

8 70,418 69,983 134,178 42,165 41,483

9 1,287 1,459 1,745 719 696

Total 80,732 80,071 144,698 46,022 45,271

HISP\\counts: 8803 8903 9003 9103 9203

0 776 802 753 826 791

1 1,179 1,115 1,250 1,735 1,325

2 46 36 55 42 51

3 599 634 820 1,077 918

4 380 334 409 551 396

5 238 242 248 334 300

6 253 288 414 588 505

7 361 382 435 523 458

8 41,193 37,665 39,445 42,810 38,349

9 454 427 456 551 457

Total 45,479 41,925 44,285 49,037 43,550

HISP\\counts: 9303 9403 9503 9603 9703

0 951 1,291 1,107 1,072 1,141

1 1,990 5,162 3,047 2,647 2,885

2 79 185 122 105 186

3 1,294 4,574 2,963 2,904 3,294

4 609 2,142 1,316 1,200 1,032

5 351 693 465 395 423

6 720 2,548 1,565 1,437 1,550

7 591 1,510 975 807 1,030

8 55,565 84,024 63,665 54,631 54,335

9 749 1,157 260 357 518

Total 62,899 103,286 75,485 65,555 66,394

HISP\\counts: 9803

0 1,146

1 2,755

2 162

3 3,115

4 1,194

5 427

6 1,551

7 752

8 54,501

9 570

Total 66,173

[]{#ORIGIN .anchor}28. Ethnic Origin ORIGIN APPEND\[RE\]

Description:

Ethnic Origin taken from PPS Control Card.

NOT AVAILABLE on files: 8014 8008 8012 8024

Codes for files: 7303\* 7802 7903 8103 chronologically through 8703

Refer to [Attachment A](#Attachment_A)

\*Note: Ethnic origin for this file was recoded from original CPS file
to conform as much as possible with the indicated codes.

ORIGIN\\counts: 7303 7802 7903 8103 8203

00 7,081 364 10,382 197 1

01 13,166 7,673 2,364 4,929 6,019

02 4,452 3,460 1,049 1,658 2,022

03 7,765 4,359 1,371 2,609 3,075

04 2,521 1,543 502 1,067 1,217

05 2,334 1,889 418 820 1,054

06 1,094 741 235 355 419

07 16,674 4,774 1,474 3,364 4,039

08 none 762 260 532 554

09 none 226 78 128 173

10 none 1,636 1,689 1,319 3,122

11 none 73 95 94 142

12 none 797 1,041 648 1,651

13 4,004 160 87 7 5

14 870 652 629 351 1,109

15 482 318 346 170 422

16 367 323 344 275 778

17 882 560 726 465 845

18 none none none 1 none

19 none none none 1 none

20 12,897 3,274 1,760 5,818 7,677

21 none 6,108 810 13 none

22 none none 3 5 none

23 none 1 none none none

24 none none 1 none none

26 none none 1 1 none

27 none none none 2 none

30 48,273 52,744 16,869 35,976 45,584

31 none none 2 3 none

32 none none 1 none none

33 none none 1 2 none

34 none none 2 1 none

37 none none none 1 none

39 8,351 2,225 558 992 1,333

40 none none none none 239

Total 131,213 94,662 43,098 61,804 81,480

ORIGIN\\counts: 8303 8403 8503 8509 8603

00 none none none 267 none

01 5,659 5,785 6,102 11,188 4,206

02 2,109 1,933 2,405 4,430 1,467

03 2,995 3,073 2,988 5,864 2,226

04 1,328 1,139 1,187 2,290 855

05 1,033 1,070 1,122 2,218 843

06 422 413 429 829 313

07 3,849 3,756 3,927 7,394 2,571

08 532 548 601 1,148 438

09 150 129 161 295 112

10 3,300 3,213 2,884 2,949 1,176

11 88 169 121 112 56

12 1,538 1,668 1,652 1,493 501

13 2 2 3 none 2

14 1,069 1,161 1,095 1,170 419

15 467 438 485 424 263

16 687 789 804 940 278

17 823 833 889 929 443

18 none none none none none

19 none none none none none

20 7,226 7,549 7,500 14,258 3,515

21 none none none none none

22 none none none none none

23 none none none none none

24 none none none none none

26 none none none none none

27 none none none none none

30 46,539 45,758 44,230 84,524 25,619

31 none none none none none

32 none none none none none

33 none none none none none

34 none none none none none

37 none none none none none

39 1,235 1,061 1,218 1,976 632

40 230 245 268 none 87

Total 81,281 80,732 80,071 144,698 46,022

ORIGIN\\counts: 8703

00 none

01 4,144

02 1,464

03 2,242

04 897

05 735

06 261

07 2,597

08 400

09 122

10 1,266

11 40

12 466

13 none

14 362

15 252

16 287

17 419

18 none

19 none

20 3,449

21 none

22 none

23 none

24 none

26 none

27 none

30 25,172

31 none

32 none

33 none

34 none

37 none

39 630

40 66

Total 45,271

Codes for files: 8803 chronologically up through 9803

01 = German

02 = Italian

03 = Irish

04 = French

05 = Polish

06 = Russian

07 = English

08 = Scottish

10 = Mexican American

11 = Chicano

12 = Mexican

14 = Puerto Rico

15 = Cuban

16 = Central or South American

17 = Other Hispanic

20 = Afro-American (Black Negro)

26 = Dutch

27 = Swedish

28 = Hungarian

30 = other group

38 = assigned NA

39 = don't know

ORIGIN\\counts: 8803 8903 9003 9103 9203

01 3,879 3,752 3,711 4,053 3,697

02 1,387 1,243 1,295 1,556 1,319

03 2,225 1,912 2,019 2,177 2,124

04 821 858 722 782 757

05 749 696 700 757 771

06 319 234 271 347 241

07 2,563 2,349 2,233 2,505 2,250

08 403 435 437 447 463

10 1,179 1,115 1,250 1,735 1,325

11 46 36 55 42 51

12 599 634 820 1,077 918

14 380 334 409 551 396

15 238 242 248 334 300

16 253 288 414 588 505

17 361 382 435 523 458

20 3,268 3,101 3,209 3,542 3,090

26 303 307 283 292 333

27 340 372 341 376 348

28 111 116 117 134 95

30 25,579 23,085 24,848 26,644 23,637

38 22 7 12 24 15

39 454 427 456 551 457

Total 45,479 41,925 44,285 49,037 43,550

ORIGIN\\counts: 9303 9403 9503 9603 9703

01 4,994 7,450 6,384 6,311 6,706

02 1,830 2,901 2,207 2,130 2,022

03 2,633 4,391 3,950 3,575 3,707

04 862 1,562 1,271 1,219 1,182

05 937 1,278 1,205 1,027 977

06 309 717 508 415 487

07 2,929 4,060 3,733 3,590 3,827

08 503 912 766 816 988

10 1,990 5,162 3,047 2,647 2,885

11 79 185 122 105 186

12 1,294 4,574 2,963 2,904 3,294

14 609 2,142 1,316 1,200 1,032

15 351 693 465 395 423

16 720 2,548 1,565 1,437 1,550

17 591 1,510 975 807 1,030

20 5,498 9,479 6,801 6,056 5,651

26 347 503 400 457 428

27 427 585 509 471 504

28 146 203 198 144 209

30 35,070 51,274 36,840 29,492 28,788

38 31 none none none none

39 749 1,157 260 357 518

Total 62,899 103,286 75,485 65,555 66,394

ORIGIN\\counts: 9803

01 6,774

02 2,144

03 4,001

04 1,337

05 1,049

06 409

07 3,827

08 832

10 2,755

11 162

12 3,115

14 1,194

15 427

16 1,551

17 752

20 6,013

26 453

27 563

28 130

30 28,115

38 none

39 570

Total 66,173

[]{#RACE .anchor}29. Race RACE APPEND\[IE,SE,RE\]

Description:

Codes for race are assigned with first priority being the CPS code. If
there is no code on the CPS record, the second priority is the code on
the control file.

Codes: 7303 7802 7903 8012 8103 8203 8302 8403 8503

1 White

2 Black

3 Other

7 Other

9 Unknown

0 Unknown

bl Unknown

RACE\\counts: 7303 7802 7903 8012 8103

none 1 none 133 none

0 none 106 none 103 none

1 115,684 83,454 38,009 152,903 53,533

2 13,872 9,684 3,840 18,796 6,219

3 1,427 1,417 1,249 5,825 2,052

7 none none none 5 none

9 230 none none none none

Total 131,213 94,662 43,098 177,765 61,804

RACE\\counts: 8203 8303 8403 8503

1 none none none

0 none none none none

1 70,485 70,642 70,071 68,956

2 8,303 7,834 8,131 8,242

3 2,691 2,805 2,530 2,873

7 none none none none

9 none none none none

Total 81,480 81,281 80,732 80,071

Codes: 8014 8008 8509

\- Unknown

1 White

2 Black

3 American Indian, Aleut, Eskimo

4 Asian or Pacific islands

5 Other

RACE\\counts: 8008 8014 8509

\- none none 2

1 157,098 159,580 124,456

2 19,601 19,745 15,507

3 5,571 5,447 4,604

4 83 80 122

5 20 19 7

Total 182,373 184,871 144,698

Codes: 8024

9 Unknown

A White I Asian Indian

B Black J Hawaiian

C Japanese K Guamanian

D Chinese L Samoan

E Filipino M Eskimo

F Korean N Aleutian

G Vietnamese O Other

H American Indian

RACE\\counts: 8024

9 1,051

A 100,254

B 16,463

C 541

D 362

E 479

F 118

G 122

H 991

I 138

J 160

K 26

L 13

M 53

N 36

O 3,538

Total 124,345

Codes: 8603 - 8703

1 = White

2 = Black

3 = Other

RACE\\counts: 8603 8703

1 40,881 40,200

2 3,831 3,771

3 1,310 1,300

Total 46,022 45,271

Codes: 8803 - 9803

1 = White

2 = Black

3 = American Indian, Aleut, Eskimo

4 = Asian or Pacific Islander

5 = Other

RACE\\counts: 8803 8903 9003 9103 9203

1 40,364 37,237 39,191 43,422 38,517

2 3,600 3,361 3,476 3,873 3,367

3 399 343 464 443 451

4 1,058 916 1,067 1,199 1,078

5 58 68 87 100 137

Total 45,479 41,925 44,285 49,037 43,550

RACE\\counts: 9303 9403 9503 9603 9703

1 54,215 85,881 62,720 55,579 56,546

2 5,942 10,975 7,632 6,999 6,686

3 680 1,250 909 867 951

4 1,777 3,404 2,474 2,110 2,211

5 285 1,776 1,750 none none

Total 62,899 103,286 75,485 65,555 66,394

RACE\\counts: 9803

1 56,227

2 6,869

3 830

4 2,247

5 none

Total 66,173

[]{#RACER .anchor}30. Race Recoded RACER APPEND\[IE,SE\]

Description: Race is recoded so that all files have the same race
coding.

Codes: All files

\- Unknown

bl Blank

1 White

2 Black

3 Other

9 Unknown

RACER\\counts: 7303 7802 7903 8008 8012

none none none none none

\- none none none none none

1 115,684 83,454 38,009 157,098 152,903

2 13,872 9,684 3,840 19,601 18,796

3 1,427 1,417 1,249 5,674 5,830

4 none none none none none

5 none none none none none

9 230 107 none none 236

Total 131,213 94,662 43,098 182,373 177,765

RACER\\counts: 8014 8024 8103 8203 8303

none none none 1 none

\- none none none none none

1 159,580 100,254 53,533 70,485 70,642

2 19,745 16,463 6,219 8,303 7,834

3 5,546 6,577 2,052 2,691 2,805

4 none none none none none

5 none none none none none

9 none 1,051 none none none

Total 184,871 124,345 61,804 81,480 81,281

RACER\\counts: 8403 8503 8509 8603 8703

none none none none none

\- none none 2 none none

1 70,071 68,956 124,456 40,881 40,200

2 8,131 8,242 15,507 3,831 3,771

3 2,530 2,873 4,604 1,310 1,300

4 none none 122 none none

5 none none 7 none none

9 none none none none none

Total 80,732 80,071 144,698 46,022 45,271

RACER\\counts: 8803 8903 9003 9103 9203

none none none none none

\- none none none none none

1 40,364 37,237 39,191 43,422 38,517

2 3,600 3,361 3,476 3,873 3,367

3 1,515 1,327 1,618 1,742 1,666

4 none none none none none

5 none none none none none

9 none none none none none

Total 45,479 41,925 44,285 49,037 43,550

RACER\\counts: 9303 9403 9503 9603 9703

none none none none none

\- none none none none none

1 54,215 85,881 62,720 55,579 56,546

2 5,942 10,975 7,632 6,999 6,686

3 2,742 6,430 5,133 2,977 3,162

4 none none none none none

5 none none none none none

9 none none none none none

Total 62,899 103,286 75,485 65,555 66,394

RACER\\counts: 9803

none

\- none

1 56,227

2 6,869

3 3,077

4 none

5 none

9 none

Total 66,173

[]{#SEX .anchor}31. Sex SEX APPEND\[SE\]

Description:

For CPS files through 8509, code for sex is determined from CPS record
as first priority and from the control file as second priority.

There is no control file for cohorts 8603 - 9803.

Codes: 7303 - 8509

1 Males

2 Females

9 Unknown

bl Unknown

Note: For files 7303, 7802, 8014, 8008, and 8012, when sex on control
file does not agree with sex on CPS record and neither is missing, sex
is defined as unknown (9).

SEX\\counts: 7303 7802 7903 8008 8012

none none none none 61

1 62,745 44,084 20,721 87,902 85,291

2 67,131 49,235 22,377 93,964 91,308

9 1,337 1,343 none 507 1,105

Total 131,213 94,662 43,098 182,373 177,765

SEX\\counts: 8014 8024 8103 8203 8303

none none none 1 none

1 89,121 57,764 29,883 39,397 39,144

2 95,249 66,116 31,921 42,082 42,137

9 501 465 none none none

Total 184,871 124,345 61,804 81,480 81,28

SEX\\counts: 8403 8503 8509

none none none

1 38,934 38,440 69,732

2 41,798 41,631 74,966

9 none none none

Total 80,732 80,071 144,698

Codes: 8603 - 9803

1 Males

2 Females

SEX\\counts: 8603 8703 8803 8903 9003

1 21,572 21,140 21,279 19,606 20,701

2 24,450 24,131 24,200 22,319 23,584

Total 46,022 45,271 45,479 41,925 44,285

SEX\\counts: 9103 9203 9303 9403 9503

1 23,298 20,559 29,966 49,598 36,212

2 25,739 22,991 32,933 53,688 39,273

Total 49,037 43,550 62,899 103,286 75,485

SEX\\counts: 9603 9703 9803

1 31,336 32,041 31,905

2 34,219 34,353 34,268

Total 65,555 66,394 66,173

[]{#SEXC .anchor}32. Sex Control File SEXC APPEND\[IE,SE\]

Description: The value of sex taken from the control file only.

NOT AVAILABLE for files: 8024 8603 - 9803

Codes: 7303 7802 7903 8014 8008 8012 8103 8203 8303 8403 8503 8509

1 Males

2 Females

7 Unknown

9 Unknown

bl Unknown

\- Unknown

SEXC\\counts: 7303 7802 7903 8008 8012

4,274 1,536 none 1 none

\- none none none none none

1 61,312 44,198 20,721 88,170 85,398

2 65,627 48,928 22,377 94,202 91,184

7 none none none none none

9 none none none none 1,183

Total 131,213 94,662 43,098 182,373 177,765

(Continued)

SEXC\\counts: 8014 8103 8203 8303

none none 1 none

\- none none none none

1 89,387 29,883 39,397 39,144

2 95,484 31,921 42,082 42,137

7 none none none none

9 none none none none

Total 184,871 61,804 81,480 81,281

(Continued)

SEXC\\counts: 8403 8503 8509

none none 248

\- none none 1

1 38,934 38,440 69,493

2 41,798 41,631 74,954

7 none none 2

9 none none none

Total 80,732 80,071 144,698

[]{#MS .anchor}33. Marital Status MS APPEND\[SE,RE\]

Description: Marital status

Codes: 7802

0 - Unknown

1 - Married, civilian spouse present

2 - Married armed forces spouse present

3 - Married spouse absent including separated

4 - Widowed or divorced

5 - Never married

MS\\counts: 7802

0 2,624

1 53,840

2 414

3 2,397

4 11,073

5 24,314

Total 94,662

Codes: 7303

0 - Unknown, age \< 13 years

1 - single (never married)

2 - Married, spouse present

3 - Married, spouse absent: separated

4 - Married, spouse absent: husband in armed forces

5 - Married, spouse absent: other

6 - Widowed

7 - Divorced

MS\\counts: 7303

0 33,906

1 24,191

2 59,786

3 1,931

4 110

5 706

6 7,349

7 3,234

Total 131,213

Codes: 8014\* 8008\* 8012\* 8509

0 - Unknown

1 - Married, civilian spouse present

2 - Married, armed forces spouse present

3 - Married, spouse absent for other reasons

4 - Widowed

5 - Divorced

6 - Separated

7 - Never Married

\*Note: For persons 13 years of age and under in these files the entry
given for marital status is incorrect, but is correct for persons ages
14+

MS\\counts: 8008 8012 8014 8509

0 6,015 4,369 6,540 30,477

1 114,322 112,314 115,355 64,494

2 670 651 743 543

3 2,568 2,694 2,625 601

4 10,267 9,939 10,677 8,151

5 8,136 8,079 8,039 7,419

6 3,018 2,951 2,891 2,449

7 37,377 36,768 38,001 30,564

Total 182,373 177,765 184,871 144,698

Codes: 7903 8103 8203 8303 8403 8503

0 - Unknown

1 - Married, civilian spouse present

2 - Married, armed forces spouse present

3 - Married, spouse absent in armed forces

4 - Married, spouse absent for other reasons

5 - Widowed

6 - Divorced

7 - Separated

8 - Never married (includes age \<= 13)

MS\\counts: 7903 8103 8203 8303 8403 8503

0 13 11 1 none none none

1 18,943 27,434 35,830 35,811 35,486 34,918

2 132 232 307 289 292 261

3 15 28 16 29 24 20

4 189 280 512 467 455 451

5 2,298 3,408 4,399 4,409 4,377 4,599

6 1,616 2,917 3,916 4,022 4,160 4,279

7 770 1,018 1,384 1,346 1,293 1,352

8 19,122 26,476 35,115 34,908 34,645 34,191

Total 43,098 61,804 81,480 81,281 80,732 80,071

Codes: 8024

0 - Unknown

1 - Married

2 - Widowed

3 - Divorced

4 - Separated

5 - Never Married

MS\\counts: 8024

0 907

1 72,154

2 9,630

3 7,425

4 2,569

5 31,660

Total 124,345

Codes: 8603, 8703

1 - Married, civilian spouse present

2 - Married, Armed Forces spouse present

3 - Married, Armed Forces spouse absent

4 - Married, spouse absent

5 - Widowed

6 - Divorced

7 - Separated

8 - Never married

MS\\counts: 8603 8703

1 26,929 26,639

2 251 219

3 13 12

4 274 304

5 3,252 3,140

6 3,357 3,300

7 947 1,028

8 10,999 10,629

Total 46,022 45,271

Codes: 8803 chronologically up through 9803

1 - Married, civilian spouse present

2 - Married, armed forces spouse present

3 - Married, spouse absent

4 - Widowed

5 - Divorced

6 - Separated

7 - Never married

MS\\counts: 8803 8903 9003 9103 9203 9303

1 26,658 24,695 25,781 28,518 25,168 30,096

2 270 206 246 231 214 225

3 231 207 262 355 295 363

4 3,294 3,042 3,055 3,262 3,046 3,660

5 3,338 3,178 3,488 3,854 3,582 4,245

6 937 837 939 1,051 933 1,100

7 10,751 9,760 10,514 11,766 10,312 23,210

Total 45,479 41,925 44,285 49,037 43,550 62,899

MS\\counts: 9403 9503 9603 9703 9803

1 40,865 31,840 27,122 27,617 27,485

2 400 270 206 213 193

3 871 578 505 556 604

4 5,049 3,901 3,456 3,444 3,192

5 6,753 4,929 4,504 4,597 4,646

6 1,902 1,321 1,201 1,151 1,065

7 47,446 32,646 28,561 28,816 28,988

Total 103,286 75,485 65,555 66,394 66,173

[]{#EDUC .anchor}34. Highest Grade Attended(or Completed) EDUC
APPEND\[RE\]

\[For later cohorts this variable is highest grade completed.\]

Description:

This variable indicates highest grade attained in school for files 7303
chronologically through 9103. Beginning with cohorts 9203, and for all
later files, the value on the extract file indicates highest grade
completed.

NOT AVAILABLE for files: 8024

Codes for files: 7303 7802 7903 8014 8008 8012 8103 8203 8303

8403 8503 8603 8703

(Values recoded for NLMS purposes from original CPS codes)

00 - Missing, invalid

01 - None 10 - H1

02 - E1 11 - H2

03 - E2 12 - H3

04 - E3 13 - H4

05 - E4 14 - C1

06 - E5 15 - C2

07 - E6 16 - C3

08 - E7 17 - C4

09 - E8 18 - C5

19 - C6+

Note: In this coding El means elementary - first grade is highest grade
attended, etc., H1 means high school first level is highest grade
attended, 9th grade or freshman, etc., and Cl means college first level
or freshman is highest grade attended, etc.

EDUC\\counts: 7303 7802 7903 8008 8012

00 33,905 688 10,440 41,188 40,403

01 655 333 321 834 768

02 195 188 71 195 183

03 301 282 122 340 335

04 796 558 283 749 787

05 1,018 747 308 965 902

06 1,183 889 378 1,124 1,040

07 1,913 1,597 729 2,185 1,963

08 2,201 1,644 605 2,394 2,170

09 9,642 7,248 2,488 11,184 9,236

10 6,651 5,820 2,021 7,906 7,499

11 8,211 7,363 2,470 10,084 9,745

12 6,543 6,095 2,071 8,932 8,601

13 33,282 32,776 11,023 49,828 48,812

14 5,343 5,721 2,046 8,844 9,158

15 5,833 6,795 2,370 10,729 10,773

16 2,500 2,802 980 4,319 4,532

17 6,645 7,593 2,540 11,958 11,940

18 1,620 1,955 610 2,879 2,976

19 2,776 3,568 1,222 5,736 5,942

Total 131,213 94,662 43,098 182,373 177,765

EDUC\\counts: 8014 8103 8203 8303 8403

00 41,534 13,849 19,376 19,022 19,080

01 829 266 371 380 360

02 212 65 118 96 87

03 362 116 183 194 146

04 753 256 388 395 339

05 995 302 498 436 414

06 1,175 378 511 518 486

07 2,153 676 1,082 1,040 959

08 2,326 777 945 889 854

09 11,067 3,324 3,832 3,547 3,441

10 8,168 2,592 2,755 2,653 2,662

11 10,236 3,188 4,249 3,977 3,848

12 9,014 2,899 3,830 3,787 3,564

13 50,414 17,457 22,519 22,551 22,703

14 9,341 3,228 4,047 4,173 4,127

15 10,804 3,691 4,983 5,271 5,262

16 4,397 1,497 2,020 2,063 2,006

17 12,199 4,275 5,579 6,014 5,983

18 2,979 883 1,335 1,371 1,345

19 5,913 2,085 2,859 2,904 3,066

Total 184,871 61,804 81,480 81,281 80,732

EDUC\\counts: 8503 8603 8703

00 18,369 744 531

01 363 154 160

02 88 46 42

03 151 96 73

04 323 179 166

05 421 232 213

06 465 281 280

07 940 583 543

08 777 554 542

09 3,311 2,281 2,220

10 2,615 1,621 1,597

11 3,915 2,664 2,480

12 3,493 2,423 2,359

13 22,463 17,034 16,618

14 4,304 3,245 3,105

15 5,382 4,130 4,296

16 2,045 1,568 1,590

17 6,268 4,746 4,904

18 1,358 1,000 1,019

19 3,020 2,441 2,533

Total 80,071 46,022 45,271

Note: In this coding El means elementary - first grade is highest grade
attended, etc., H1 means high school first level is the highest grade
attended, 9th grade or freshman, etc., and Cl means college first level
or freshman is the highest grade attended, etc.

Codes: 8509, 8803, 8903, 9003, 9103

00 -- None 09 - H1

01 - E1 10 - H2

02 - E2 11 - H3

03 - E3 12 - H4

04 - E4 13 - C1

05 - E5 14 - C2

06 - E6 15 - C3

07 - E7 16 - C4

08 - E8 17 - C5

18 - C6+

EDUC\\counts: 8509 8803 8903 9003 9103

00 30,990 630 638 596 536

01 112 41 40 38 28

02 203 105 98 91 107

03 493 173 209 167 210

04 585 198 208 216 244

05 700 257 236 235 243

06 1,443 525 507 545 599

07 1,591 504 441 444 476

08 6,821 2,086 1,870 1,820 1,796

09 5,655 1,655 1,481 1,526 1,505

10 6,973 2,512 2,311 2,396 2,532

11 6,325 2,401 2,100 2,231 2,336

12 41,453 16,950 15,213 16,210 18,261

13 7,619 3,171 3,071 3,234 3,602

14 9,953 4,042 3,830 4,304 4,928

15 3,880 1,608 1,534 1,599 1,842

16 11,734 4,883 4,748 4,974 5,782

17 2,529 987 936 1,014 1,052

18 5,639 2,751 2,454 2,645 2,958

Total 144,698 45,479 41,925 44,285 49,037

Codes: 9203, 9303, 9403, 9503, 9603, 9703, 9803

0,\_0 = Children

00 = Children

31 = less than 1st grade

32 = 1^st^, 2^nd^, 3^rd^, or 4th grade

33 = 5th or 6th grade

34 = 7th and 8th grade

35 = 9th grade

36 = 10th grade

37 = 11th grade

38 = 12th grade no diploma

39 = HS graduate, high school diploma, or equivalent

40 = Some college but no degree

41 = Associate Degree in occupational/voc program

42 = Associate Degree in college-academic program

43 = Bachelors Degree (eg. BA, AB, BS)

44 = Masters Degree (eg. MA, MS, MENG, MED, MSW, MBA)

45 = Professional School Degree (MD, DDS, LLB, DVM etc.)

46 = Doctorate (e.g. Ph.D, Ed.D)

Note: For cohorts 9203 through 9803, **the value of this variable is the
highest grade completed** (and the value of variable 36, EDUCC, is
blank).

EDUC\\counts: 9203 9303 9403 9503 9603

00 363 10,911 26,254 17,703 15,470

31 190 254 471 309 271

32 531 581 1,010 685 599

33 754 1,025 1,892 1,253 1,118

34 2,436 2,868 4,019 3,052 2,629

35 1,607 1,979 3,164 2,505 2,121

36 2,103 2,566 3,884 2,830 2,476

37 1,949 2,261 3,556 2,598 2,361

38 749 828 1,312 741 725

39 14,455 17,355 24,536 18,490 15,940

40 7,783 9,313 14,123 10,275 8,863

41 1,446 1,880 2,605 1,992 1,719

42 1,044 1,288 2,152 1,624 1,442

43 5,461 6,574 9,771 7,679 6,711

44 1,900 2,239 3,080 2,554 2,158

45 490 574 854 704 574

46 289 403 603 491 378

Total 43,550 62,899 103,286 75,485 65,555

EDUC\\counts: 9703 9803

00 15,300 15,549

31 266 210

32 590 536

33 1,120 1,099

34 2,489 2,319

35 2,177 2,033

36 2,493 2,364

37 2,434 2,329

38 773 783

39 16,089 15,972

40 9,112 9,144

41 1,692 1,765

42 1,531 1,601

43 7,020 7,206

44 2,220 2,196

45 621 617

46 467 450

Total 66,394 66,173

[]{#EDUCC .anchor}35. Grade Completed EDUCC

Description:

This variable indicates whether or not person completed the highest
grade attended as indicated in the previous variable. The basic purpose
of maintaining the EDUCC variable as a Extract File variable is so that
it will be available for use in defining an education variable which is
consistent across all analysis files of the NLMS.

Note: In the construction of a variable indicating highest grade
completed with a minimal number of errors assumes that if EDUCC is
unknown, the highest grade completed was the highest grade attended. The
EDUCC is not defined for file 9203 and files later chronically because
EDUC (variable 35) was originally defined as highest grade completed.

NOT AVAILABLE for files: 8024, 9203 -- 9803

Note: This variable is not maintained on the NLMS analysis files
because, for purposes of consistency on analysis files, the variable,
EDUC, is defined as highest grade completed for all files (See
description for Variable 35, EDUC).

Codes for files: 7303 7802 7903 8014 8008 8012 8103 8203 8303 8403

8503 8509 8603 8703 8803 8903 9003 9103

0 - Unknown (age \<= 13, no match to CPS or unknown)

1 - Completed indicated grade

2 - Did not complete the indicated grade

EDUCC\\counts: 7303 7802 7903 8008 8012

0 33,907 551 10,458 41,188 40,403

1 67,541 65,554 22,788 116,670 98,250

2 29,765 28,557 9,852 24,515 39,112

Total 131,213 94,662 43,098 182,373 177,765

EDUCC\\counts: 8014 8103 8203 8303 8403

0 41,534 13,877 19,376 19,022 19,080

1 101,543 34,461 45,581 45,743 45,759

2 41,794 13,466 16,523 16,516 15,893

Total 184,871 61,804 81,480 81,281 80,732

EDUCC\\counts: 8503 8509 8603 8703 8803

0 18,369 30,477 744 531 434

1 45,732 91,372 34,561 34,192 34,332

2 15,970 22,849 10,717 10,548 10,713

Total 80,071 144,698 46,022 45,271 45,479

EDUCC\\counts: 8903 9003 9103

0 469 398 331

1 31,368 33,452 37,398

2 10,088 10,435 11,308

Total 41,925 44,285 49,037

[]{#IND1 .anchor}36. Match Status Indicator IND1

Description:

Variable indicating status of record when matched to the National

Death Index in 1983.

NOT AVAILABLE for files: 8203 and later

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103

0 - Record failed edit at Census in 1983

1 - Record failed edit at NCHS in 1983

2 - Record was not a hit in 1983 NDI match

3 - Record was a hit in 1983 NDI match

IND1\\counts: 7303 7802 7903 8008 8012

0 1,013 1,809 1,444 1,004 2,866

1 14 74 49 329 13

2 122,417 86,255 39,627 173,119 167,616

3 7,769 6,524 1,978 7,921 7,270

Total 131,213 94,662 43,098 182,373 177,765

IND1\\counts: 8014 8024 8103

0 1,813 113 968

1 423 258 700

2 174,117 122,658 57,897

3 8,518 1,316 2,239

Total 184,871 124,345 61,804

[]{#IND2 .anchor}37. Observed Death Indicator IND2

Description:

Indicates whether a record was a death or not in 1983 match to the NDI.

NOT AVAILABLE for files: 8203 and later

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103

0 - Record failed edit at Census or NCHS

1 - Not a death (alive) in 1983 NDI match

2 - Death in 1979, 1980 or 1981

\*Note: Deaths occurring in 1980 are excluded from the 8024 file.

IND2\\counts: 7303 7802 7903 8008 8012

0 1,027 1,883 1,493 1,333 2,879

1 127,186 90,239 40,893 179,387 173,721

2 3,000 2,540 712 1,653 1,165

Total 131,213 94,662 43,098 182,373 177,765

IND2\\counts: 8014 8024 8103

0 2,236 371 1,668

1 180,533 122,806 59,839

2 2,102 1,168 297

Total 184,871 124,345 61,804

[]{#DOD .anchor}38. Date of Death DOD

Description:

Date of Death taken from the National Death Index data file. For deaths
matched prior to 2001 in cohorts 7303 - 8509, this date may not be the
same as the date collected from the death certificate in Jeffersonville.
DOD is given in MMDDYY format. Frequency counts are given below for
month, day, and year respectively.

month_of_death\\counts: 7303 7802 7903 8008

. 108,302 74,493 36,746 154,980

1 2,277 1,893 562 2,586

2 1,946 1,684 550 2,187

3 2,085 1,743 553 2,386

4 1,900 1,655 528 2,218

5 1,848 1,664 526 2,243

6 1,787 1,572 462 2,063

7 1,778 1,614 514 2,205

8 1,812 1,603 536 2,077

9 1,767 1,495 494 2,254

10 1,804 1,701 522 2,309

11 1,915 1,694 544 2,382

12 1,992 1,851 561 2,483

Total 131,213 94,662 43,098 182,373

month_of_death\\counts: 8012 8014 8024 8103

. 152,396 156,344 100,769 53,220

1 2,366 2,636 2,143 757

2 2,101 2,311 1,923 743

3 2,240 2,453 2,128 776

4 2,042 2,273 1,942 667

5 2,099 2,314 1,975 699

6 2,010 2,209 1,865 689

7 2,035 2,319 1,870 711

8 2,001 2,250 1,834 709

9 1,991 2,254 1,798 652

10 2,060 2,461 1,902 716

11 2,078 2,395 2,016 690

12 2,346 2,652 2,180 775

Total 177,765 184,871 124,345 61,804

month_of_death\\counts: 8203 8303 8403 8503

. 70,767 71,672 71,856 71,798

1 989 853 851 744

2 915 774 723 662

3 940 835 758 682

4 938 808 716 703

5 832 783 720 693

6 787 743 714 649

7 860 762 686 672

8 849 775 672 684

9 830 786 729 668

10 876 795 718 676

11 895 815 739 720

12 1,002 880 850 720

Total 81,480 81,281 80,732 80,071

month_of_death\\counts: 8509 8603 8703 8803

. 132,003 39,599 39,651 40,216

1 1,171 566 508 441

2 1,050 510 442 407

3 1,039 568 463 406

4 995 558 462 423

5 1,031 532 478 461

6 955 530 447 411

7 1,036 529 468 445

8 1,020 511 433 425

9 954 469 428 402

10 1,117 496 476 450

11 1,097 553 471 450

12 1,230 601 544 542

Total 144,698 46,022 45,271 45,479

month_of_death\\counts: 8903 9003 9103 9203

. 37,604 40,269 45,672 40,632

1 382 355 313 246

2 356 312 269 222

3 347 313 282 240

4 365 331 270 212

5 385 329 276 242

6 338 321 275 252

7 355 313 262 244

8 327 315 297 218

9 346 335 278 226

10 354 344 265 270

11 352 355 280 251

12 414 393 298 295

Total 41,925 44,285 49,037 43,550

month_of_death\\counts: 9303 9403 9503 9603

. 60,028 100,143 73,651 64,446

1 233 242 136 78

2 199 213 120 81

3 243 272 148 59

4 247 268 166 81

5 267 255 162 103

6 230 238 155 102

7 243 255 172 103

8 225 266 138 97

9 239 273 132 102

10 274 285 156 88

11 226 275 187 94

12 245 301 162 121

Total 62,899 103,286 75,485 65,555

month_of_death\\counts: 9703 9803

. 65,667 65,910

1 41 none

2 35 none

3 45 10

4 61 25

5 68 31

6 58 29

7 54 24

8 80 23

9 67 28

10 67 32

11 68 23

12 83 38

Total 66,394 66,173

day_of_death\\counts: 7303 7802 7903 8008

. 108,302 74,493 36,746 154,980

1 798 686 221 884

2 743 662 217 914

3 807 647 194 865

4 765 590 243 920

5 766 661 201 893

6 756 648 202 938

7 766 631 229 903

8 798 657 206 933

9 761 659 221 906

10 747 641 199 899

11 757 639 207 924

12 724 662 221 888

13 718 668 219 849

14 770 718 201 918

15 722 712 225 876

16 731 658 209 875

17 784 646 205 912

18 780 655 212 845

19 741 630 176 932

20 751 674 196 906

21 705 704 195 907

22 712 686 194 883

23 734 645 199 868

24 720 696 212 913

25 748 684 187 925

26 777 634 215 912

27 751 711 222 938

28 772 658 219 858

29 657 604 179 809

30 710 637 195 867

31 440 366 131 533

Total 131,213 94,662 43,098 182,373

day_of_death\\counts: 8012 8014 8024 8103

. 152,396 156,344 100,769 53,220

1 825 923 755 296

2 852 946 753 279

3 839 945 769 285

4 825 920 803 264

5 811 932 767 281

6 816 891 806 277

7 924 974 753 294

8 802 951 798 274

9 841 993 779 273

10 887 923 782 272

11 845 913 790 286

12 831 965 790 307

13 856 947 804 273

14 848 910 721 260

15 830 926 762 275

16 853 928 777 274

17 797 971 772 283

18 841 962 789 297

19 828 930 790 264

20 825 898 788 281

21 808 970 751 283

22 809 914 787 312

23 826 955 819 290

24 818 918 809 276

25 804 921 761 280

26 858 935 755 289

27 815 942 737 266

28 870 965 775 283

29 805 869 727 273

30 710 851 697 254

31 470 539 410 183

Total 177,765 184,871 124,345 61,804

day_of_death\\counts: 8203 8303 8403 8503

. 70,767 71,672 71,856 71,798

1 327 314 280 277

2 353 294 294 242

3 378 296 288 263

4 421 313 297 267

5 378 326 295 265

6 351 316 262 281

7 340 291 282 274

8 345 340 278 254

9 355 323 274 284

10 352 307 321 262

11 348 328 276 271

12 345 310 291 301

13 342 295 267 268

14 340 298 303 256

15 353 350 291 265

16 341 278 311 283

17 359 299 299 284

18 353 311 269 274

19 360 323 309 275

20 357 344 305 278

21 335 304 318 256

22 364 341 278 252

23 329 322 276 296

24 354 315 264 272

25 341 315 327 303

26 363 328 293 256

27 336 338 309 279

28 355 292 306 259

29 344 312 298 251

30 308 302 236 263

31 186 184 179 162

Total 81,480 81,281 80,732 80,071

day_of_death\\counts: 8509 8603 8703 8803

. 132,003 39,599 39,651 40,216

1 412 217 197 164

2 404 218 164 153

3 387 209 166 179

4 450 195 171 195

5 458 225 177 189

6 415 192 172 163

7 415 208 184 172

8 398 224 178 183

9 380 223 172 159

10 435 188 195 175

11 405 201 199 164

12 422 228 190 184

13 462 235 189 199

14 440 211 181 175

15 440 209 197 156

16 429 193 189 190

17 409 212 188 177

18 419 236 203 162

19 421 197 202 175

20 436 210 179 170

21 394 212 154 177

22 416 214 179 171

23 387 225 178 165

24 409 201 208 147

25 402 189 185 214

26 383 213 196 183

27 406 211 183 163

28 436 229 178 154

29 380 193 169 165

30 370 167 185 139

31 275 138 112 101

Total 144,698 46,022 45,271 45,479

day_of_death\\counts: 8903 9003 9103 9203

. 37,604 40,269 45,672 40,632

1 163 129 114 87

2 145 154 110 102

3 139 130 117 98

4 151 115 106 90

5 122 144 110 114

6 137 132 133 81

7 151 128 92 99

8 126 125 111 115

9 128 132 108 101

10 129 144 118 104

11 150 139 124 91

12 146 138 126 100

13 129 133 130 87

14 146 146 107 95

15 130 128 110 99

16 144 136 105 98

17 145 121 111 92

18 138 126 115 106

19 138 139 110 92

20 140 135 106 102

21 153 119 90 103

22 143 128 95 89

23 154 113 110 96

24 152 122 124 93

25 161 121 102 96

26 132 145 117 87

27 146 134 106 92

28 139 150 102 107

29 127 114 95 71

30 145 122 108 72

31 72 74 53 59

Total 41,925 44,285 49,037 43,550

day_of_death\\counts: 9303 9403 9503 9603

. 60,028 100,143 73,651 64,446

1 92 114 56 50

2 87 103 52 26

3 79 113 61 31

4 97 114 50 39

5 97 95 64 36

6 107 83 60 34

7 89 131 66 41

8 94 91 58 45

9 111 99 61 36

10 110 96 62 35

11 89 108 59 35

12 97 95 52 43

13 94 88 56 43

14 88 106 74 34

15 94 104 54 35

16 88 113 66 28

17 101 107 47 41

18 100 96 64 28

19 96 114 49 38

20 92 121 66 42

21 94 101 59 42

22 93 110 63 30

23 98 110 61 37

24 87 95 66 35

25 99 98 62 38

26 93 94 61 32

27 97 98 53 34

28 97 100 60 29

29 86 91 56 39

30 73 97 73 32

31 52 58 43 21

Total 62,899 103,286 75,485 65,555

day_of_death\\counts: 9703 9803

. 65,667 65,910

1 24 5

2 17 7

3 26 5

4 24 11

5 17 7

6 26 8

7 24 5

8 20 13

9 29 10

10 20 3

11 24 6

12 24 7

13 33 6

14 28 4

15 29 6

16 19 13

17 20 8

18 21 13

19 24 7

20 20 8

21 29 8

22 21 10

23 25 13

24 20 12

25 25 9

26 21 10

27 24 17

28 22 8

29 29 13

30 24 7

31 18 4

Total 66,394 66,173

year_of_death\\counts: 7303 7802 7903 8008

. 108,302 74,493 36,746 154,980

1979 1,021 851 184 none

1980 1,047 908 275 447

1981 1,053 881 282 1,258

1982 1,038 948 264 1,246

1983 1,091 880 326 1,325

1984 1,073 962 311 1,381

1985 1,092 983 278 1,517

1986 1,139 1,000 280 1,438

1987 1,136 1,013 316 1,455

1988 1,117 947 337 1,488

1989 1,174 1,043 337 1,410

1990 1,147 1,012 331 1,552

1991 1,150 1,014 341 1,477

1992 1,191 1,020 360 1,493

1993 1,210 1,114 350 1,641

1994 1,217 1,061 346 1,570

1995 1,253 1,150 356 1,692

1996 1,282 1,100 343 1,674

1997 1,257 1,078 388 1,672

1998 1,223 1,204 347 1,657

Total 131,213 94,662 43,098 182,373

year_of_death\\counts: 8012 8014 8024 8103

. 152,396 156,344 100,769 53,220

1979 none none none none

1980 52 866 none none

1981 1,146 1,302 1,171 316

1982 1,139 1,240 1,228 431

1983 1,239 1,347 1,183 418

1984 1,252 1,443 1,267 439

1985 1,325 1,452 1,296 444

1986 1,337 1,474 1,151 439

1987 1,387 1,502 1,250 439

1988 1,415 1,550 1,314 448

1989 1,428 1,586 1,340 490

1990 1,437 1,557 1,317 528

1991 1,455 1,608 1,278 490

1992 1,428 1,636 1,356 495

1993 1,530 1,553 1,313 524

1994 1,557 1,664 1,387 498

1995 1,537 1,699 1,433 518

1996 1,531 1,721 1,459 559

1997 1,561 1,635 1,402 517

1998 1,613 1,692 1,431 591

Total 177,765 184,871 124,345 61,804

year_of_death\\counts: 8203 8303 8403 8503

. 70,767 71,672 71,856 71,798

1979 none none none none

1980 none none none none

1981 none none none none

1982 400 none none none

1983 549 357 none none

1984 538 548 359 none

1985 589 559 511 378

1986 574 584 539 531

1987 634 525 557 555

1988 614 570 576 513

1989 594 616 585 565

1990 625 622 558 593

1991 664 594 630 538

1992 676 622 606 593

1993 645 638 624 638

1994 711 603 677 668

1995 753 690 639 668

1996 715 726 685 694

1997 685 698 692 681

1998 747 657 638 658

Total 81,480 81,281 80,732 80,071

year_of_death\\counts: 8509 8603 8703 8803

. 132,003 39,599 39,651 40,216

1979 none none none none

1980 none none none none

1981 none none none none

1982 none none none none

1983 none none none none

1984 none none none none

1985 223 none none none

1986 836 270 none none

1987 842 423 277 none

1988 879 437 425 330

1989 886 475 436 434

1990 978 499 468 424

1991 917 448 474 481

1992 973 528 454 491

1993 986 550 501 523

1994 1,031 565 494 488

1995 1,031 569 498 515

1996 1,073 547 526 499

1997 1,032 558 505 553

1998 1,008 554 562 525

Total 144,698 46,022 45,271 45,479

year_of_death\\counts: 8903 9003 9103 9203

. 37,604 40,269 45,672 40,632

1979 none none none none

1980 none none none none

1981 none none none none

1982 none none none none

1983 none none none none

1984 none none none none

1985 none none none none

1986 none none none none

1987 none none none none

1988 none none none none

1989 256 none none none

1990 342 257 none none

1991 426 408 263 none

1992 411 402 395 250

1993 453 455 435 408

1994 461 485 464 384

1995 489 481 410 451

1996 506 511 454 470

1997 497 505 475 447

1998 480 512 469 508

Total 41,925 44,285 49,037 43,550

year_of_death\\counts: 9303 9403 9503 9603

. 60,028 100,143 73,651 64,446

1979 none none none none

1980 none none none none

1981 none none none none

1982 none none none none

1983 none none none none

1984 none none none none

1985 none none none none

1986 none none none none

1987 none none none none

1988 none none none none

1989 none none none none

1990 none none none none

1991 none none none none

1992 none none none none

1993 270 none none none

1994 451 484 none none

1995 486 656 328 none

1996 531 657 493 296

1997 545 667 501 390

1998 588 679 512 423

Total 62,899 103,286 75,485 65,555

year_of_death\\counts: 9703 9803

. 65,667 65,910

1979 none none

1980 none none

1981 none none

1982 none none

1983 none none

1984 none none

1985 none none

1986 none none

1987 none none

1988 none none

1989 none none

1990 none none

1991 none none

1992 none none

1993 none none

1994 none none

1995 none none

1996 none none

1997 292 none

1998 435 263

Total 66,394 66,173

# 39. Cause of Death CAUSE 

Description:

The underlying cause of death taken from the death certificate
information. Reference for coding is: International Classification of
Diseases, published by the World Health Organization 1977, Volumes 1 and
2 (ICD-9).

NOTE: There are 28 cases in the NLMS that have a value of IND201 of '2'
indicating the survey participant is deceased yet the underlying cause
of death, CAUSE, is unknown, '0000' and all information about the death
is missing. This missing information is under review and, hopefully,
will be resolved following the next match of NLMS records to the NDI. An
initial review of these 28 cases indicates that there are no biases
evident in terms of occurance in a particular file or a particular
gender-race-hispanic status classification.

Codes for files: All cohorts

0000 - person is deceased but cause is undetermined

0001-9999 - Four digit ICD code for underlying cause (Fourth digit can
be blank)

bl - Alive

CAUSE\\counts: 7303 7802 7903 8008 8012

108,292 74,486 36,743 154,976 152,396

0000 1 none none 1 none

0001-9999 22,920 20,176 6,355 27,396 25,369

Total 131,213 94,662 43,098 182,373 177,765

CAUSE\\counts: 8014 8024 8103 8203 8303

156,337 100,754 53,220 70,767 71,674

0000 2 none none none none

0001-9999 28,532 23,591 8,584 10,713 9,607

Total 184,871 124,345 61,804 81,480 81,281

CAUSE\\counts: 8403 8503 8509 8603 8703

71,857 71,800 132,008 39,602 39,651

0000 none none none none none

0001-9999 8,875 8,271 12,690 6,420 5,620

Total 80,732 80,071 144,698 46,022 45,271

CAUSE\\counts: 8803 8903 9003 9103 9203

40,217 37,605 40,270 45,673 40,632

0000 none none none none none

0001-9999 5,262 4,320 4,015 3,364 2,918

Total 45,479 41,925 44,285 49,037 43,550

CAUSE\\counts: 9303 9403 9503 9603 9703

60,030 100,144 73,651 64,446 65,667

0000 none none none none none

0001-9999 2,869 3,142 1,834 1,109 727

Total 62,899 103,286 75,485 65,555 66,394

CAUSE\\counts: 9803

65,910

0000 none

0001-9999 263

Total 66,173

[]{#SOD .anchor}40. State of Death SOD

Description:

State of death taken from the death certificate information collected in
Jeffersonville (for cohorts prior to 8603) or from the NDI 2001 match
file (for cohorts 8603 - 9803). State of death code abbreviation taken
from codes used on the NDI in 1991.

Code State Abbrev. Code State Abbrev.

01 Alabama AL 28 Nebraska NB

02 Alaska AK 29 Nevada NV

03 Arizona AZ 30 New Hampshire NH

04 Arkansas AR 31 New Jersey NJ

05 California CA 32 New Mexico NM

06 Colorado CO 33 New York (inc NY City) NY

07 Connecticut CT 34 North Carolina NC

08 Delaware DE 35 North Dakota ND

09 District of Columbia DC 36 Ohio OH

10 Florida FL 37 Oklahoma OK

11 Georgia GA 38 Oregon OR

12 Hawaii HI 39 Pennsylvania PA

13 Idaho ID 40 Rhode Island RI

14 Illinois IL 41 South Carolina SC

15 Indiana IN 42 South Dakota SD

16 Iowa IA 43 Tennessee TN

17 Kansas KS 44 Texas TX

18 Kentucky KY 45 Utah UT

19 Louisiana LA 46 Vermont VT

20 Maine ME 47 Virginia VA

21 Maryland MD 53 Virgin Islands VI

22 Massachusetts MA 48 Washington WA

23 Michigan MI 49 West Virginia WV

24 Minnesota MN 50 Wisconsin WI

25 Mississippi MS 51 Wyoming WY

26 Missouri MO 52 Puerto Rico PR

27 Montana MT 54 Guam GU

bl Alive

[]{#DCNUM .anchor}41. Death Certificate Number DCNUM

Description:

The death certificate number for deaths is taken from the control file
used for each match to the NDI. The death certificate number is unique
only within a given year for the given state. Death certificate number
is not available for deaths that occurred in New York, including both
New York City and the rest of the state.

Note: Blank for alive.

43\. Universally Adjusted Weight UADJWT

Description:

This weight is an adjustment of the adjusted CPS weight to

give weight to all records in the control file. The adjusted

CPS weight (ADJ-WT) is modified by first classifying all

control file records which were not linked to a CPS record

by age group, sex and race. Each such record in the control

file was assigned the average weight of all linked records

which fall within the classification category. Then the weight

of all linked records within the category was reduced by

the altered percentage of the total weight within the age group,

race and sex classification. The weight of all records not

falling in classification cells so identified remain unaltered.

All weights were adjusted to reflect the U.S. population at the

time of the CPS interview. All records in the control file

which pass edits are thus weighted.

Note: Format for weight is XXXX.XX for 7303 - 8509 and

XXXXXX.XXXXX for 8603 - 9803

NOT AVAILABLE for files: 8024

[]{#FMINCOME .anchor}44. Family Income in Current Dollars FMINCOME

Description:

Family income as given on the file. This variable is a continuous
measure of income for all March files. Every member of the family is
assigned this value, one value for the family, for income. The variable
is computed by adding together all the income for each member of the
family using the variable, FTOTVAL, and then assigning to each member of
the family, the total value determined for family income.

For files that do not have a continuous income value (February 78;
April, August, and December 1980; September 1985), each member of the
family is assigned the median value of the income category identified
for the family on the master file.

For all March files, the income requested at the time of the survey is
the income for the previous calendar year. For example, the income
collected on the March 1988 Supplement, i.e. the 8803 cohort, is the
income for the calendar year 1987. This income is collected according to
categories of income such as, dividends, wages, etc. for each member of
the family, and then these income categories are combined for all
members of the family to determine the value for the CPS variable
FTOTVAL.

For non March files, including (February 78; April, August, and December
1980; September 1985), the income requested is the income for the
family, according to the head of household, for the prior 4 months by
rotation collected with this estimate expanded to give a full year
value. This full year value is then categorized according to the income
levels identified for the variable. Thus for the purposes of adjusting
income for inflation, the assumption was made that the income for all
March files was earned for the year prior to the given survey year. For
the non-March files, the income is assumed to have been earned during
the year of the survey.

[]{#MOB .anchor}45. Month of Birth MOB APPEND\[SE,IE\]

Description:

This variable gives the month of birth of each person in numerical code.
For cohorts 7303 - 8509, the response, taken from the control file, is
the month of birth used in the matches to the National Death Index. For
cohorts 8603 - 9303, the source is the \"RF\" files sent to NDI/NCHS for
the 2001 match. For cohorts 9403 - 9803, the source is the NLMS master
files.

Acceptable codes are 01 to 12.

NOT AVAILABLE for files: 8024, 9103

MOB\\counts: 7303

blank 858

0 2

01 10,973

02 10,262

03 11,135

04 10,305

05 10,514

06 10,534

07 11,182

08 11,374

09 11,326

10 11,170

11 10,633

12 10,877

13 2

14 2

15 1

16 2

17 2

18 3

21 5

22 5

23 2

30 1

31 1

32 1

33 2

36 1

37 1

41 1

42 2

44 1

50 1

52 1

53 1

55 2

61 1

62 2

63 1

66 2

71 2

72 4

73 1

81 1

82 1

86 1

88 2

91 2

92 1

99 2

NA 5

Total 131,213

MOB\\counts: 7802 7903 8008 8012 8014

blank none 1,069 977 none 1,094

\-- none none none none none

-0 none 2 none none none

-1 none none none none none

-2 none none none none none

-3 none none none none none

0- none 415 none none none

00 869 none none 2,496 none

01 8,073 3,566 15,059 14,593 15,308

02 7,358 3,247 14,117 13,428 14,258

03 7,784 3,462 15,598 14,766 15,725

04 7,505 3,321 14,195 13,915 14,645

05 7,561 3,436 14,946 14,197 14,983

06 7,415 3,354 14,762 14,440 14,727

07 7,977 3,541 15,704 15,026 15,882

08 8,299 3,682 16,089 15,366 16,241

09 8,430 3,645 15,782 15,344 16,180

0R none 1 none none none

10 8,066 3,527 15,474 15,239 15,899

11 7,547 3,307 14,612 14,228 14,811

12 7,778 3,523 15,058 14,727 15,117

4 none none none none 1

5 none none none none none

Total 94,662 43,098 182,373 177,765 184,871

MOB\\counts: 8103 8203 8303 8403 8503

blank 968 429 862 2,009 1,852

\-- none 1 none none none

-0 none none 1 none none

-1 none none none none none

-2 none none none none none

-3 none none none none none

0- 638 920 883 1,069 1,266

00 none none none none none

01 5,036 6,717 6,772 6,486 6,472

02 4,815 6,399 6,055 6,150 5,906

03 5,220 6,830 6,751 6,620 6,543

04 4,712 6,257 6,252 6,097 6,005

05 4,968 6,384 6,316 6,206 6,315

06 4,743 6,471 6,540 6,274 6,207

07 5,214 6,965 6,889 6,645 6,679

08 5,351 7,051 6,960 6,889 6,927

09 5,299 6,959 6,968 6,796 6,648

0R none none none none none

10 5,057 6,964 6,820 6,732 6,552

11 4,851 6,483 6,613 6,270 6,227

12 4,932 6,650 6,599 6,489 6,471

4 none none none none none

5 none none none none 1

Total 61,804 81,480 81,281 80,732 80,071

MOB\\counts: 8509 8603 8703 8803 8903

blank none none none none none

\-- none none none none none

-0 none none none none none

-1 none none none none none

-2 none none none none none

-3 none none none none none

0- none none none none none

00 1 none none none none

01 12,105 3,911 3,781 3,733 3,409

02 11,299 3,542 3,462 3,465 3,268

03 12,239 3,787 3,831 3,807 3,505

04 11,252 3,594 3,605 3,554 3,310

05 11,862 3,725 3,666 3,688 3,467

06 11,711 3,648 3,705 3,630 3,387

07 13,116 4,046 3,874 3,985 3,541

08 12,801 4,174 4,041 4,078 3,742

09 12,485 3,980 4,005 4,050 3,728

0R none none none none none

10 12,359 4,050 3,893 3,914 3,728

11 11,509 3,621 3,694 3,757 3,373

12 11,959 3,944 3,714 3,818 3,467

4 none none none none none

5 none none none none none

Total 144,698 46,022 45,271 45,479 41,925

MOB\\counts: 9003 9203 9303 9403 9503

blank none none 2,200 none none

\-- none none none none none

-0 none none none none none

-1 none none none 11 9

-2 none none none 1,583 650

-3 none none none 1,238 610

0- none none none none none

00 none none none none none

01 3,638 3,624 4,953 8,814 6,216

02 3,417 3,354 4,611 7,837 5,678

03 3,713 3,680 5,061 8,911 6,287

04 3,509 3,447 4,794 7,805 5,914

05 3,643 3,663 4,839 8,269 6,091

06 3,489 3,566 5,043 8,178 6,224

07 3,882 3,733 5,316 8,574 6,325

08 3,999 3,794 5,496 8,652 6,483

09 3,881 3,779 5,362 8,653 6,552

0R none none none none none

10 3,728 3,797 5,281 8,474 6,328

11 3,662 3,458 4,921 8,063 5,967

12 3,724 3,655 5,022 8,224 6,151

4 none none none none none

5 none none none none none

Total 44,285 43,550 62,899 103,286 75,485

MOB\\counts: 9603 9703 9803

blank none none none

\-- none none none

-0 none none none

-1 3 7 5

-2 553 671 467

-3 695 903 789

0- none none none

00 none none none

01 5,497 5,742 5,794

02 4,846 4,983 5,035

03 5,497 5,468 5,454

04 5,085 5,087 5,147

05 5,179 5,372 5,251

06 5,293 5,343 5,183

07 5,628 5,589 5,541

08 5,693 5,717 5,659

09 5,493 5,556 5,690

0R none none none

10 5,496 5,414 5,446

11 5,142 5,196 5,236

12 5,455 5,346 5,476

4 none none none

5 none none none

Total 65,555 66,394 66,173

[]{#SSNYN .anchor}46. Social Security Indicator SSNYN

Description:

This variable indicates the presence or absence of a Social Security
number on the master file record. For old cohorts, the variable was
constructed by SMD for use in the extract files. For new cohorts, the
variable has a value of \'1\' for apparently valid SSNs on the master
files. The value is \'0\' if SSN is blank, all-zeroes, or bogus, e.g.
111-22-3333.

NOT AVAILABLE for files: 8509

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103 8203

8303 8403 8503 8603 - 9803

0 - Social Security number is missing

1 - Social Security number is present

SSNYN\\counts: 7303 7802 7903 8008 8012

0 45,436 17,188 17,607 60,420 65,686

1 85,777 77,474 25,491 121,953 112,079

Total 131,213 94,662 43,098 182,373 177,765

SSNYN\\counts: 8014 8024 8103 8203 8303

0 55,009 none 22,037 30,445 31,023

1 129,862 124,345 39,767 51,035 50,258

Total 184,871 124,345 61,804 81,480 81,281

SSNYN\\counts: 8403 8503 8509 8603 8703

0 30,966 30,315 144,698 none none

1 49,766 49,756 none 46,022 45,271

Total 80,732 80,071 144,698 46,022 45,271

SSNYN\\counts: 8803 8903 9003 9103 9203

0 none none none none none

1 45,479 41,925 44,285 49,037 43,550

Total 45,479 41,925 44,285 49,037 43,550

SSNYN\\counts: 9303 9403 9503 9603 9703

0 14,064 52,468 37,429 33,428 35,876

1 48,835 50,818 38,056 32,127 30,518

Total 62,899 103,286 75,485 65,555 66,394

SSNYN\\counts: 9803

0 34,650

1 31,523

Total 66,173

[]{#HOSP .anchor}47. Place of Death HOSP

Description: Describes the place of death.

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103

8203 8303 8403 8503 8509 8603 - 9803

1 - Entry on death certificate includes Hospital or

Medical Center, or is a clinic of a hospital.

2 - Entry is a type of institution other than hospital or

medical center, such as nursing home, professional

center, doctor\'s office, or clinic other than a hospital

clinic.

3 - Entry includes the word \"clinic\" but does not indicate

whether or not it is of a hospital.

4 - Entry is a street address (or home, or work, etc.) only.

5 - Other entries which do not include the word \"Hospital\"

or \"Medical Center.\"

6 - Hospice.

7 - Unknown.

9 - Blank or illegible on the death certificate.

bl - Alive

HOSP\\counts: 7303 7802 7903 8008 8012

108,293 74,486 36,743 154,977 152,396

1 13,900 12,243 3,896 16,369 15,008

2 3,792 3,221 980 4,387 4,159

3 4 4 3 7 5

4 4,603 4,140 1,286 5,753 5,339

5 459 398 145 637 595

6 17 16 4 26 25

7 127 136 27 176 202

9 18 18 14 41 36

Total 131,213 94,662 43,098 182,373 177,765

HOSP\\counts: 8014 8024 8103 8203 8303

156,339 100,754 53,220 70,767 71,674

1 17,070 13,882 5,080 6,332 5,572

2 4,670 4,252 1,366 1,690 1,572

3 10 3 2 none 2

4 5,887 4,693 1,823 2,291 2,089

5 659 537 224 276 259

6 20 29 7 15 13

7 173 161 75 95 94

9 43 34 7 14 6

Total 184,871 124,345 61,804 81,480 81,281

HOSP\\counts: 8403 8503 8509 8603 8703

71,857 71,800 132,008 39,606 39,655

1 5,147 4,825 7,389 3,543 3,147

2 1,449 1,384 2,117 1,139 1,004

3 3 1 2 none none

4 1,954 1,818 2,733 1,200 1,116

5 221 181 335 461 303

6 12 7 5 none none

7 76 52 105 73 46

9 13 3 4 none none

Total 80,732 80,071 144,698 46,022 45,271

HOSP\\counts: 8803 8903 9003 9103 9203

40,222 37,611 40,274 45,677 40,636

1 2,962 2,404 2,209 1,841 1,618

2 901 734 657 573 491

3 none none none none none

4 1,114 981 948 792 683

5 216 148 142 122 96

6 none none none none none

7 64 47 55 32 26

9 none none none none none

Total 45,479 41,925 44,285 49,037 43,550

HOSP\\counts: 9303 9403 9503 9603 9703

60,035 100,154 73,657 64,450 65,672

1 1,556 1,722 1,010 612 399

2 465 470 222 159 92

3 none none none none none

4 708 766 517 281 201

5 114 153 70 50 29

6 none none none none none

7 21 21 9 3 1

9 none none none none none

Total 62,899 103,286 75,485 65,555 66,394

HOSP\\counts: 9803

65,914

1 142

2 31

3 none

4 73

5 12

6 none

7 1

9 none

Total 66,173

[]{#HOSPD .anchor}48. Hospital Death Indicator HOSPD

Description:

Indicates the location of death relative to a hospital.

Response is determined from the death certificate. Certain

states do not have this item on their certificate. For these

states a code b is assigned for this variable. Approximately

2.5% of the deaths observed occur in these states.

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103

8203 8303 8403 8503 8509 8603 - 9803

1 - DOA (a special box must be present and marked on

the death certificate)

2 - Inpatient

3 - Outpatient/E-mergency

4 - Other hospital visit

5 - Not in hospital

6 - Not on death certificate/unable to determine

9 - Blank on certificate or illegible.

bl - Alive

HOSPD\\counts: 7303 7802 7903 8008 8012

108,294 74,486 36,743 154,977 152,396

1 862 843 201 965 906

2 9,568 8,566 2,699 11,718 10,699

3 1,439 1,259 451 1,825 1,705

4 4 4 none 7 6

5 8,048 7,050 2,210 9,918 9,294

6 2,594 2,092 683 2,415 2,257

9 404 362 111 548 502

Total 131,213 94,662 43,098 182,373 177,765

HOSPD\\counts: 8014 8024 8103 8203 8303

156,339 100,754 53,220 70,767 71,674

1 1,042 841 314 349 277

2 12,176 9,916 3,595 4,540 4,065

3 1,855 1,548 591 777 691

4 2 4 2 3 1

5 10,343 8,736 3,180 3,963 3,643

6 2,545 2,097 744 878 728

9 569 449 158 203 202

Total 184,871 124,345 61,804 81,480 81,281

HOSPD\\counts: 8403 8503 8509 8603 8703

71,857 71,800 132,008 39,606 39,655

1 272 246 359 191 164

2 3,795 3,639 5,591 2,869 2,543

3 648 624 1,031 478 439

4 2 2 none none none

5 3,420 3,196 5,106 2,798 2,423

6 547 416 516 79 47

9 191 148 87 1 none

Total 80,732 80,071 144,698 46,022 45,271

HOSPD\\counts: 8803 8903 9003 9103 9203

40,222 37,611 40,274 45,677 40,636

1 172 124 103 90 68

2 2,368 1,920 1,802 1,448 1,297

3 419 359 304 303 253

4 none none none none none

5 2,231 1,863 1,747 1,487 1,270

6 66 48 55 32 26

9 1 none none none none

Total 45,479 41,925 44,285 49,037 43,550

HOSPD\\counts: 9303 9403 9503 9603 9703

60,035 100,154 73,657 64,450 65,672

1 78 88 48 32 18

2 1,238 1,387 792 477 309

3 240 247 170 103 72

4 none none none none none

5 1,287 1,389 809 490 322

6 21 21 9 3 1

9 none none none none none

Total 62,899 103,286 75,485 65,555 66,394

HOSPD\\counts: 9803

65,914

1 4

2 115

3 23

4 none

5 116

6 1

9 none

Total 66,173

[]{#INTERV .anchor}49. Interval Between Onset INTERV

Description:

NOT AVAILABLE for: files 8603 - 9803, deaths occuring

after 12/31/89 in files 7303 - 8509

Identifies the interval of time between the immediate cause

of death and the occurrence of death.

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103 8203

8303 8403 8503 8509

0 - Less than 1 hour, minutes, sudden

1 - 1-23 hours or statement, \'hours\'

2 - 1-6 days or statement, \'days\'

3 - 7 or more days

4 - Unable to determine

9 - Blank or illegible

bl - Alive

INTERV\\counts: 7303 7802 7903 8008 8012

119,223 84,236 39,905 169,404 166,044

0 2,406 2,059 651 2,666 2,392

1 779 646 189 804 697

2 1,119 875 271 1,035 956

3 2,263 2,051 612 2,531 2,237

4 355 287 87 343 276

9 5,068 4,508 1,383 5,590 5,163

Total 131,213 94,662 43,098 182,373 177,765

INTERV\\counts: 8014 8024 8103 8203 8303

171,103 113,129 57,940 76,988 77,522

0 2,816 2,298 739 928 777

1 843 677 226 284 243

2 1,149 981 350 418 301

3 2,636 2,202 751 791 707

4 349 274 92 114 75

9 5,975 4,784 1,706 1,957 1,656

Total 184,871 124,345 61,804 81,480 81,281

INTERV\\counts: 8403 8503 8509

77,606 77,529 141,033

0 637 557 733

1 191 156 224

2 227 186 282

3 615 489 659

4 68 44 82

9 1,388 1,110 1,685

Total 80,732 80,071 144,698

[]{#PSU .anchor}50. PSU PSU

Description:

Identifies geographical coding of PSU for all CPS records, or DO for
Census records. The actual PSU code is embedded in a 5-digit character
field on both Extract and Analysis files. Prior to 1994 the length of
the PSU code was 3 digits. Beginning in 1994, the standard PSU code was
expanded to 5 digits with the first two digits being the FIPS state code
and the last three a numerical character string between 001 and 999
identifying the PSU within the state. For the 1980 Census subsample
file, 8024, the four-digit District Office code is placed in digits 2
through 5 of the PSU variable. There are no blank or unknown entries for
this variable.

Codes for files: ALL

[]{#SEG .anchor}51. SEGMENT SEG

Description:

Identifies geographical coding of sampling segment for all CPS records
or \"ED\" (Enumeration District)for Census records. For CPS records, the
first digit of the SEG variable indicates the CPS rotation in which the
record was sampled. There are no blanks or unknown entries for this
variable.

Codes for files: ALL

[]{#SERN .anchor}52. Serial Number SERN

Description:

Identifies household serial number for all CPS records or the Census
control number for all census records. There are no blank or unknown
entries for the variable.

Codes for files: ALL

[]{#FILE .anchor}53. File number FILE

Description:

A numerical code to identify the cohort. Codes for files:

01 - 7303 or \'A\' cohort

02 - 7802 or \'B\' cohort

03 - 7903 or \'C\' cohort

04 - 8014 or \'D\' cohort

05 - 8024 or \'E\' cohort

06 - 8008 or \'F\' cohort

07 - 8012 or \'G\' cohort

08 - 8103 or \'H\' cohort

09 - 8203 or \'I\' cohort

10 - 8303 or \'J\' cohort

11 - 8403 or \'K\' cohort

12 - 8503 or \'L\' cohort

13 - 8509 or \'M\' cohort

14 - 8603 or \'N\' cohort

15 - 8703 or \'O\' cohort

16 - 8803 or \'P\' cohort

17 - 8903 or \'Q\' cohort

18 - 9003 or \'R\' cohort

19 - 9103 or \'S\' cohort

20 - 9203 or \'T\' cohort

21 - 9303 or \'U\' cohort

22 - 9403 or \'V\' cohort

23 - 9503 or \'W\' cohort

24 - 9603 or \'X\' cohort

25 - 9703 or \'Y\' cohort

26 - 9803 or \'Z\' cohort

[]{#RACEX .anchor}54. Race Extended RACEX APPEND\[SE\]

Description:

An expanded version of race (variable #29) which separates

the \"American Indian, etc.\" and \"Asian, etc.\" categories

out of \"Other\" from the variable RACE.

NOT AVAILABLE for files: 7303 7802 8603 8703

Codes for files: 7903 8014 8024 8008 8012 8103 8203 8303

8403 8503 8509

1 - White

2 - Black

3 - American Indian or Eskimo

4 - Asian or Pacific Islander

5 - Other Nonwhite

9 - Unknown

\- - Unknown

RACEX\\counts: 7903 8008 8012 8014 8024

\- none none none none none

1 38,009 157,098 152,903 159,580 100,254

2 3,840 19,601 18,796 19,745 16,463

3 302 1,895 1,846 1,654 1,080

4 605 3,520 3,854 3,616 1,959

5 340 119 99 150 3,538

9 2 140 267 126 1,051

Total 43,098 182,373 177,765 184,871 124,345

RACEX\\counts: 8103 8203 8303 8403 8503

\- none none none none none

1 53,533 70,486 70,642 70,071 68,956

2 6,219 8,303 7,834 8,131 8,242

3 632 941 798 889 818

4 1,367 1,678 1,922 1,574 2,004

5 50 61 80 64 42

9 3 11 5 3 9

Total 61,804 81,480 81,281 80,732 80,071

(RACEX Continued)

RACEX\\counts: 8509

\- 225

1 124,197

2 15,451

3 1,337

4 3,318

5 170

9 none

Total 144,698

Codes for files: 8803-9803

1 - White

2 - Black

3 - American Indian or Eskimo

4 - Asian or Pacific Islander

5 - Other Nonwhite

RACEX\\counts: 8803 8903 9003 9103 9203

1 40,364 37,237 39,191 43,422 38,517

2 3,600 3,361 3,476 3,873 3,367

3 399 343 464 443 451

4 1,058 916 1,067 1,199 1,078

5 58 68 87 100 137

Total 45,479 41,925 44,285 49,037 43,550

RACEX\\counts: 9303 9403 9503 9603 9703

1 54,215 85,881 62,720 55,579 56,546

2 5,942 10,975 7,632 6,999 6,686

3 680 1,250 909 867 951

4 1,777 3,404 2,474 2,110 2,211

5 285 1,776 1,750 none none

Total 62,899 103,286 75,485 65,555 66,394

RACEX\\counts: 9803

1 56,227

2 6,869

3 830

4 2,247

5 none

Total 66,173

[]{#IND185 .anchor}55. Match Status Indicator (1985) IND185

Description:

Variable indicating status of record when matched to the National

Death Index in 1985.

NOT AVAILABLE for files: FILES LATER THAN 8303

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103 8203 8303

0 - Record failed edit at Census in 1985

1 - Record failed edit at NCHS in 1985

2 - Record was not a hit to the NDI in 1985

3 - Record was a hit to the NDI in 1985

IND185\\counts: 7303 7802 7903 8008 8012

0 1,013 1,868 1,517 1,014 2,873

1 14 22 none 29 5

2 88,077 69,200 28,557 154,779 149,923

3 42,109 23,572 13,024 26,551 24,964

Total 131,213 94,662 43,098 182,373 177,765

IND185\\counts: 8014 8024 8103 8203 8303

0 1,828 115 1,695 1,595 1,585

1 52 27 10 1 483

2 155,727 120,483 46,040 65,246 65,154

3 27,264 3,720 14,059 14,638 14,059

Total 184,871 124,345 61,804 81,480 81,281

56\. Observed Death Indicator (1985) IND285

[]{#ind285 .anchor}

Description:

Indicates whether the record was a death or not according to the

1985 match to the NDI.

NOT AVAILABLE for files: FILES LATER THAN 8303

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103 8203 8303

0 - Record failed edit in the 1985 match to the NDI

1 - Death during 1979-1981 according to 1983 and 1985 matches

2 - Death during 1979-1981 according to 1983 match only

3 - Death during 1979-1981 according to 1985 match only

4 - Death during 1982-1983 according to 1985 match only

5 - Alive after 1985 match to the NDI

6 - Death, but record is the earlier or earliest of records in

multiple files (count as alive)

IND285\\counts: 7303 7802 7903 8008 8012

0 1,027 1,890 1,517 1,043 2,878

1 2,936 2,508 691 1,613 1,135

2 64 31 21 39 30

3 121 101 29 53 33

4 2,129 1,828 590 2,571 2,378

5 124,926 88,294 40,247 177,049 171,310

6 10 10 3 5 1

Total 131,213 94,662 43,098 182,373 177,765

IND285\\counts: 8014 8024 8103 8203 8303

0 1,880 142 1,705 1,596 2,068

1 2,042 1,122 289 none none

2 60 46 8 none none

3 66 3 19 none none

4 2,588 2,414 850 949 357

5 178,227 120,600 58,933 78,935 78,856

6 8 18 none none none

Total 184,871 124,345 61,804 81,480 81,281

[]{#IND287 .anchor}59. Observed Death Indicator (1987) IND287

Description:

Indicates whether the record was a death or not according to the

1987 match to the NDI. Includes earlier match results as well.

NOT AVAILABLE for files: 8509, 8603 - 9803

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103 8203

8303 8403 8503

0 - Record failed edit in 1987 match to the NDI

1 - Death according to 1983, 1985 or 1987 matches to the NDI

2 - Alive after 1987 match to the NDI

3 - Death but record is the earlier or earliest of records in

multiple files (count as alive)

IND287\\counts: 7303 7802 7903 8008 8012

0 1,027 1,890 1,517 1,043 2,878

1 7,410 6,397 1,916 7,165 6,147

2 122,761 86,347 39,657 174,150 168,732

3 15 28 8 15 8

Total 131,213 94,662 43,098 182,373 177,765

IND287\\counts: 8014 8024 8103 8203 8303

0 1,880 141 1,705 1,596 2,068

1 7,647 6,128 2,048 2,076 1,464

2 175,332 118,041 58,051 77,807 77,748

3 12 35 none 1 1

Total 184,871 124,345 61,804 81,480 81,281

IND287\\counts: 8403 8503

0 3,234 3,367

1 872 378

2 76,626 76,326

3 none none

Total 80,732 80,071

[]{#IND289 .anchor}60. Observed Death Indicator (1989) IND289

Description:

Indicates whether the record was a death or not according to the

1989 match to the NDI. Includes earlier match results as well.

NOT AVAILABLE for files: 8509, 8603 -9803

Codes for files: 7303 7802 7903 8014 8024 8008 8012 8103 8203

8303 9403 8503

0 - Record failed edit in 1989 match to the NDI

1 - Fail edit, death observed before start of follow-up

2 - Death according to 1983, 1985, 1987 or 1989 matches to the

NDI

3 - Alive after 1989 match to the NDI

4 - Death but record is the earlier or earliest of records in

multiple files (count as alive)

IND289\\counts: 7303 7802 7903 8008 8012

0 1,027 1,890 1,517 1,043 2,878

1 none none 1 7 3

2 9,684 8,406 2,509 10,036 8,855

3 120,486 84,334 39,061 171,257 166,009

4 16 32 10 30 20

Total 131,213 94,662 43,098 182,373 177,765

IND289\\counts: 8014 8024 8103 8203 8303

0 1,880 141 1,705 1,596 2,068

1 5 none 2 none none

2 10,607 8,517 2,915 3,280 2,566

3 172,356 115,640 57,173 76,599 76,639

4 23 47 9 5 8

Total 184,871 124,345 61,804 81,480 81,281

IND289\\counts: 8403 8503

0 3,234 3,367

1 none none

2 1,956 1,459

3 75,530 75,240

4 12 5

Total 80,732 80,071

[]{#IND291 .anchor}61. Observed Death Indicator (1991 match to NDI)
IND291

Description:

Indicates whether the record was identified as a death or not according
to the 1991 match to the NDI.

NOT AVAILABLE for: 8603 - 9803

Codes for files: All files prior to 8603 chronologically

0 - Record failed edit in 1991 match to the NDI

1 - Fail edit, death observed before start of follow-up

2 - Death according to 1983, 1985, 1987, 1989 or 1991 matches

to the NDI

3 - Alive after 1991 match to the NDI

4 - Death but record is the earlier or earliest of records in

multiple files (count as alive)

IND291\\counts: 7303 7802 7903 8008 8012

0 1,027 1,890 1,517 1,043 2,878

1 none none 1 7 3

2 11,967 10,379 3,178 12,926 11,690

3 118,195 82,344 38,387 168,359 163,165

4 24 49 15 38 29

Total 131,213 94,662 43,098 182,373 177,765

IND291\\counts: 8014 8024 8103 8203 8303

0 1,880 141 1,705 1,596 2,068

1 5 none 2 2 2

2 13,733 11,147 3,853 4,486 3,749

3 169,220 112,986 56,235 75,391 75,453

4 33 71 9 5 9

Total 184,871 124,345 61,804 81,480 81,281

IND291\\counts: 8403 8503 8509

0 3,234 3,367 none

1 none none 7

2 3,117 2,529 3,658

3 74,368 74,162 141,033

4 13 13 none

Total 80,732 80,071 144,698

[]{#IND201 .anchor}62. Observed Death Indicator (2001 match to NDI)
IND201

Description:

Indicates whether the record was identified as a death or not

according to the 2001 match to the NDI.

Codes for files: All files

0 - Record rejected by NDI in 2001 match

1 - Fail edit, death observed before start of follow-up

2 - Death according to 1983, 1985, 1987, 1989, 1991 or 2001

matches to the NDI

3 - Alive after 2001 match to the NDI

4 - Death but record is the earlier or earliest of records in

multiple files (count as alive)

5 -- Special Fail Edit category for records from the 7303 and

7802 files for which person was determined to have died

using the Social Security Administration file of deceased

persons

IND201\\counts: 7303 7802 7903 8008 8012

0 1,027 1,900 1,517 1,043 2,878

1 . . 1 7 3

2 22,790 20,020 6,306 27,225 25,191

3 102,607 72,085 35,226 153,932 149,517

4 131 159 48 166 176

5 4,658 498 none none none

Total 131,213 94,662 43,098 182,373 177,765

IND201\\counts: 8014 8024 8103 8203 8303

0 1,883 143 1,705 1,596 2,068

1 5 none 2 2 2

2 28,336 23,468 8,553 10,678 9,579

3 154,452 100,608 51,515 69,171 69,604

4 195 126 29 33 28

5 none none none none none

Total 184,871 124,345 61,804 81,480 81,281

IND201\\counts: 8403 8503 8509 8603 8703

0 3,234 3,367 16 none none

1 none none 7 4 4

2 8,850 8,131 12,593 6,411 5,606

3 68,622 68,431 131,987 39,599 39,651

4 26 142 95 8 10

5 none none none none none

Total 80,732 80,071 144,698 46,022 45,271

IND201\\counts: 8803 8903 9003 9103 9203

0 none none none none none

1 5 6 4 5 4

2 5,246 4,305 4,000 3,355 2,908

3 40,216 37,604 40,269 45,672 40,632

4 12 10 12 5 6

5 none none none none none

Total 45,479 41,925 44,285 49,037 43,550

IND201\\counts: 9303 9403 9503 9603 9703

0 2,288 687 534 625 605

1 6 10 6 4 5

2 2,765 3,086 1,827 1,105 722

3 57,740 99,456 73,117 63,821 65,062

4 100 47 1 none none

5 none none none none none

Total 62,899 103,286 75,485 65,555 66,394

IND201\\counts: 9803

0 686

1 4

2 259

3 65,224

4 none

5 none

Total 66,173

[]{#FMINC90 .anchor}63. Family Income in 1990 \$ Categorized FMINC90
APPEND \[SE\]

Description:

For all March files the value of DOLINC90 for the family, FMINCOME
inflated to 1990 dollars is assigned a category as indicated below. The
determined category is then assigned to each member of the family. For
files with categorical values of income (February 78; April, August, and
December 1980; September 1985), the median value of the category of
income is inflated by the appropriate CPI value and then assigned to the
appropriate category of FMINC90.

Definition:

blank -- Income missing or unknown

00 -- Income missing or unknown

-\$ - Negative Income

01 - \$ 0 - \$ 4,999

02 - \$ 5,000 - \$ 7,499

03 - \$ 7,499 - \$ 9,999

04 - \$10,000 - \$12,499

05 - \$12,500 - \$14,999

06 - \$15,000 - \$19,999

07 - \$20,000 - \$24,999

08 - \$25,000 - \$29,999

09 - \$30,000 - \$34,999

10 - \$35,000 - \$39,999

11 - \$40,000 - \$49,999

12 - \$50,000 - \$59,999

13 - \$60,000 - \$74,999

14 - \$75,000 plus

NOT AVAILABLE for files: 8024

FMINC90\\counts: 7303 7802 7903 8008 8012

blank none none none none none

-\$ 263 none none none none

00 10 8,385 none 16,265 15,303

01 3,830 4,858 1,462 6,998 6,447

02 3,972 3,579 1,450 10,669 10,077

03 4,412 3,563 1,662 6,088 5,766

04 4,366 3,939 1,831 8,311 8,535

05 4,674 5,630 1,830 12,369 12,563

06 10,123 7,987 3,633 12,279 12,137

07 10,934 7,525 3,921 18,224 18,017

08 11,016 10,920 3,338 24,670 23,545

09 12,576 none 3,854 none none

10 10,997 13,762 3,251 25,069 23,829

11 19,097 10,884 5,827 none none

12 12,788 none 3,999 34,622 34,730

13 10,889 11,753 3,527 none none

14 11,266 1,877 3,513 6,809 6,816

Total 131,213 94,662 43,098 182,373 177,765

FMINC90\\counts: 8014 8024 8103 8203 8303

blank none 124,345 none none none

-\$ none none none none none

00 13,476 none 2 23 50

01 6,745 none 2,434 3,265 3,821

02 10,763 none 2,383 3,664 3,504

03 5,876 none 2,572 3,399 3,643

04 8,460 none 2,470 3,538 3,608

05 12,580 none 2,630 4,077 3,935

06 12,112 none 5,712 7,380 7,302

07 17,860 none 5,187 7,510 7,571

08 26,024 none 5,227 6,852 7,608

09 none none 5,307 6,936 6,708

10 25,649 none 5,150 6,202 6,219

11 none none 7,937 9,895 9,558

12 38,448 none 5,375 7,065 6,481

13 none none 4,620 5,854 5,292

14 6,878 none 4,798 5,820 5,981

Total 184,871 124,345 61,804 81,480 81,281

FMINC90\\counts: 8403 8503 8509 8603 8703

blank none none none none none

-\$ none none none 139 121

00 16 8 7,312 7 3

01 3,942 3,249 11,120 2,046 1,896

02 3,638 3,352 none 1,870 1,934

03 3,800 3,300 8,706 2,034 1,720

04 3,308 3,204 7,890 1,805 1,842

05 3,816 3,610 9,731 2,052 1,870

06 7,312 6,787 8,157 3,995 3,873

07 7,272 6,745 15,899 4,005 3,600

08 6,687 6,394 14,788 3,553 3,513

09 6,781 6,283 12,530 3,561 3,406

10 5,920 5,776 12,567 3,502 3,227

11 9,379 9,446 9,483 5,370 5,583

12 6,608 7,331 11,172 3,962 3,957

13 5,883 6,608 10,707 3,840 3,938

14 6,370 7,978 4,636 4,281 4,788

Total 80,732 80,071 144,698 46,022 45,271

FMINC90\\counts: 8803 8903 9003 9103 9203

blank none none none none none

-\$ 62 88 45 69 53

00 12 4 5 none 3

01 1,916 1,703 1,863 2,052 2,073

02 1,784 1,717 1,715 1,854 1,647

03 1,795 1,727 1,734 1,804 1,908

04 1,672 1,717 1,808 2,204 1,976

05 1,899 1,856 1,993 1,988 1,928

06 3,906 3,615 3,517 4,034 3,859

07 3,789 3,326 3,650 4,252 4,010

08 3,820 3,398 3,497 3,791 3,572

09 3,451 3,096 3,427 3,676 3,030

10 3,103 2,985 3,052 3,561 2,993

11 5,365 4,889 5,339 5,635 4,894

12 3,915 3,564 3,946 4,330 3,777

13 4,059 3,563 3,674 4,161 3,412

14 4,931 4,677 5,020 5,626 4,415

Total 45,479 41,925 44,285 49,037 43,550

FMINC90\\counts: 9303 9403 9503 9603 9703

blank none none none none none

-\$ 92 174 136 10 4

00 7 17 13 9 25

01 3,387 7,597 4,779 4,175 4,173

02 2,652 5,166 3,281 2,838 2,781

03 2,624 5,346 3,454 2,933 2,971

04 2,738 4,856 3,432 3,000 3,156

05 2,740 5,150 3,528 3,148 2,969

06 5,271 9,691 6,406 5,722 5,748

07 5,164 8,582 6,176 5,447 5,724

08 4,981 8,363 5,536 5,085 5,044

09 4,383 6,958 5,245 4,772 4,571

10 4,364 6,229 4,989 4,352 4,112

11 7,426 10,526 8,122 7,190 7,134

12 5,366 7,692 6,125 5,242 5,548

13 5,195 7,071 5,886 4,700 4,879

14 6,509 9,868 8,377 6,932 7,555

Total 62,899 103,286 75,485 65,555 66,394

FMINC90\\counts: 9803

blank none

-\$ 80

00 11

01 3,999

02 2,692

03 2,907

04 2,950

05 2,785

06 5,564

07 5,387

08 5,038

09 4,797

10 4,089

11 7,219

12 5,415

13 5,275

14 7,965

Total 66,173

[]{#FINC8090 .anchor}64. FINC8090, inflated 1980 categories to 1990
APPEND\[SE\]

Description:

The categories used historically for adjusted income by the NLMS based
on 1980 dollars were inflated to 1990 dollars. Then, for all March
files, the value of FMINCOME is inflated to 1990 dollars, DOLINC90. Each
member of the family was then assigned to the appropriate category as
identified for the inflated 1980 to 1990 categories. For files with
categorical values of income (February 78; April, August, and December
1980; September 1985), the median value of the category determined at
the time of the survey was inflated by the appropriate CPI value and
then assigned to the resulting category of FMINC90. For files in the
NLMS from the original study, cohorts 7303 chronologically up to 8509,
the FINC8090 category breakdown is the same as the original 1980-dollar
assignment.

Definition:

blank -- unknown or missing income

\- - Negative Income

1 - \$ 0 - \$ 7,999

2 - \$ 8,000 - \$15,999

3 - \$16,000 - \$23,999

4 - \$24,000 - \$31,999

5 - \$32,000 - \$39,999

6 - \$40,000 - \$79,999

7 - \$80,000 plus

9 -- unknown or missing income

NOT AVAILABLE for files: 8024

FINC8090\\counts: 7303 7802 7903 8008 8012

blank none none none none none

\- 263 none none none none

1 8,561 8,437 3,211 17,667 16,524

2 14,838 13,132 5,707 26,768 26,864

3 16,182 15,512 6,040 30,503 30,154

4 19,075 10,920 5,692 24,670 23,545

5 18,250 13,762 5,582 25,069 23,829

6 44,983 22,637 14,042 34,622 34,730

7 9,061 1,877 2,824 6,809 6,816

9 none 8,385 none 16,265 15,303

Total 131,213 94,662 43,098 182,373 177,765

FINC8090\\counts: 8014 8024 8103 8203 8303

blank none 124,345 none none none

\- none none none none none

1 17,508 none 5,336 7,587 8,042

2 26,916 none 8,344 11,876 11,833

3 29,972 none 8,759 11,895 12,036

4 26,024 none 8,374 11,465 11,714

5 25,649 none 8,256 10,002 10,343

6 38,448 none 18,880 23,982 22,307

7 6,878 none 3,850 4,652 5,005

9 13,476 none 5 21 1

Total 184,871 124,345 61,804 81,480 81,281

FINC8090\\counts: 8403 8503 8509 8603 8703

blank none none none none none

\- none none none 139 121

1 8,586 7,356 19,826 4,359 4,158

2 11,479 10,807 17,621 6,320 5,907

3 11,571 10,714 24,056 6,217 6,009

4 10,996 10,333 14,788 5,994 5,483

5 9,860 9,491 25,097 5,538 5,326

6 23,040 24,894 31,362 13,953 14,189

7 5,200 6,469 4,636 3,500 4,078

9 none 7 7,312 2 none

Total 80,732 80,071 144,698 46,022 45,271

FINC8090\\counts: 8803 8903 9003 9103 9203

blank none none none none none

\- 62 88 45 69 53

1 4,037 3,810 3,918 4,237 4,119

2 5,708 5,617 5,902 6,515 6,121

3 6,243 5,575 5,736 6,566 6,352

4 5,878 5,185 5,596 6,212 5,604

5 5,275 4,954 5,108 5,686 4,802

6 14,242 12,738 13,787 15,107 12,814

7 4,031 3,955 4,192 4,645 3,684

9 3 3 1 none 1

Total 45,479 41,925 44,285 49,037 43,550

FINC8090\\counts: 9303 9403 9503 9603 9703

blank none none none none none

\- 92 174 136 10 4

1 6,526 13,716 8,763 7,528 7,470

2 8,623 16,300 11,035 9,686 9,626

3 8,493 14,823 10,118 9,006 9,272

4 7,661 12,817 8,958 8,081 7,934

5 7,004 10,291 7,956 7,172 6,961

6 18,987 26,722 21,304 18,152 18,611

7 5,509 8,438 7,212 5,914 6,499

9 4 5 3 6 17

Total 62,899 103,286 75,485 65,555 66,394

FINC8090\\counts: 9803

blank none

\- 80

1 7,163

2 9,187

3 8,786

4 8,092

5 6,986

6 19,053

7 6,819

9 7

Total 66,173

[]{#DOLINC90 .anchor}65. Family Income Adjusted To 1990 Dollars DOLINC90

Description:

Dollar amount of family income obtained from the master file vari­able
FMINCOME is adjusted to 1990 dollars using the consumer price index.
Every member of the family is assigned the same DOLINC90 value for
income. The value is computed by adding together the income for each
member of the family using the variable, FTOTVAL, adjusting this total
dollar value for the family to a 1990 dollar value using the consumer
price index\*, then assigning this computed 1990 dollar value to each
member of the family. For the February 78; April, August, and December
1980; and September 1985 files, which don\'t have an actual dollar value
but consist of a categori­cal income indicator, each member of the family
is assigned the CPI adjusted median value of the income category
determined.

\*Note: The CPI value used to adjust each FTOTVAL amount for inflation
for a given cohort depends on the year for which the income for the
cohort is determined. A complete description of the determination of the
basis of the family income for each cohort is given in the documentation
for the variable FMINCOME.

[]{#POVPCT90 .anchor}66. Percent Of Poverty Level In 1990 \$ POVPCT90
APPEND\[SE\]

Description:

The variable POVPCT90 is defined by taking the DOLINC90 variable value
and comparing it to the 1990 defined poverty level. A categorical
variable value is assigned according to the category of percent of
poverty level as indicated below. Family size and number of children in
the family determine the poverty threshold level.

**Note: POVPCT90 is not determined for the 7802 and 8024 files.**

The 7802 file does not contain records for a full family.

Children under 14 are not included on this file. Also, records do not
contain a variable that in any way describes the number per­sons in the
family. Therefore, for lack of informa­tion, the variable POVPCT90 can't
be calculated with any cer­tainty from these data and POVPCT90 is
declared missing for all records of the file.

**POVPCT90 determination on non-March files:**

The core income variable on non-March files is generally a

14 level categorical variable. These files do not contain

an exact dollar value for family income. Therefore, the calculation of
POVPCT90 is made using the original categorical variable and assigning
income according to the median value of each category. Since the
category of highest income is a capped value at \$75,000 the median
value of \$100,000 is arbitrarily assigned to families assigned the
highest income category.

**Definition of the 1990 poverty threshold:**

The following table gives the threshold for the definition of poverty
level for the year 1990. The threshold value depends on size of family
unit and number of children less than 18 years of age under the care of
the head of household. The determination of POVPCT90 is made by taking
the variable DOLINC90 for each family member and comparing this value to
the entry below for the number of persons in the family and the number
of children in the family who are under 18 years of age. For files
created before 1988, the number of children under 18 years of age in the
family is determined directly from the file by examining the record of
each family member and counting the number of children under 18 years of
age with the required relationship to the survey reference person. For
files 1988 and later, the master file variable, "fmrelu18," giving the
number of children under 18 in the family, was used. This variable was
determined for the specific purpose of identifying the poverty threshold
for the Income Poverty Branch (IPB) of HHES, the official U.S. Census
Bureau group responsible for poverty determinations. Using this variable
should lead to the exact threshold that would have been determined by
the IPB for the cohort.

\|\-\-\-\-\-\-\-\-\-\-\-\-\-\-- Related children under 18 years of age:
\-\-\-\-\-\-\-\-\-\-\-\-\-\--\|

Size of family unit: None One Two Three Four Five Six Seven Eight+

One person

under 65 years of age 6800

65 years and older 6268

Two persons

householder under 65 8752 9009

householder \>= 65 7900 8975

Three persons 10223 10520 10530

Four persons 13281 13701 13254 13301

Five persons 16257 16494 15989 15598 15359

Six persons 18693 18773 18368 18015 17464 17137

Seven persons 21515 21650 21187 20864 20262 19561 18791

Eight persons 24063 24276 23839 23456 22913 22223 21505 21323

Nine or more persons 28946 29087 28700 28375 27842 27108 26445 26280
25268

Definition:

blank - Missing value, no response

00 -- Missing value, no response

01 - \< = 50% of the poverty level

02 - \> than 50% of the poverty level, but \< = 75% of the poverty level

03 - \> than 75% of the poverty level, but \< = 100% of the poverty
level

04 - \> than 100% of the poverty level, but \< = 125% of the poverty
level

05 - \> than 125% of the poverty level, but \< = 150% of the poverty
level

06 - \> than 150% of the poverty level, but \< = 175% of the poverty
level

07 - \> than 175% of the poverty level, but \< = 200% of the poverty
level

08 - \> than 200% of the poverty level, but \< = 225% of the poverty
level

09 - \> than 225% of the poverty level, but \< = 250% of the poverty
level

10 - \> than 250% of the poverty level, but \< = 275% of the poverty
level

11 - \> than 275% of the poverty level, but \< = 300% of the poverty
level

12 - \> than 300% of the poverty level, but \< = 325% of the poverty
level

13 - \> than 325% of the poverty level, but \< = 350% of the poverty
level

14 - \> than 350% of the poverty level, but \< = 375% of the poverty
level

15 - \> than 375% of the poverty level, but \< = 400% of the poverty
level

16 - \> than 400% of the poverty level, but \< = 450% of the poverty
level

17 - \> than 450% of the poverty level, but \< = 500% of the poverty
level

18 - \> than 500% of the poverty level, but \< = 550% of the poverty
level

19 - \> than 550% of the poverty level, but \< = 600% of the poverty
level

20 - \> than 600% of the poverty level, but \< = 700% of the poverty
level

21 - \> than 700% of the poverty level

NOT AVAILABLE for files: 7802, 8024

POVPCT90\\counts: 7303 7802 7903 8008 8012

blank none none none none none

00 none 94,662 none none none

01 4,617 none 1,704 10,919 10,305

02 4,390 none 1,718 7,512 7,542

03 6,168 none 2,204 11,309 10,435

04 6,555 none 2,396 8,437 8,461

05 6,849 none 2,346 12,634 12,810

06 7,350 none 2,509 13,908 14,168

07 7,289 none 2,292 6,562 6,546

08 8,056 none 2,533 15,719 15,363

09 8,052 none 2,668 7,551 6,260

10 7,572 none 2,344 11,002 10,902

11 7,378 none 2,118 12,236 12,121

12 6,747 none 2,051 5,952 5,600

13 5,878 none 1,833 5,346 5,210

14 5,651 none 1,747 8,199 7,885

15 4,464 none 1,788 3,218 2,754

16 8,117 none 2,514 15,873 15,644

17 5,940 none 1,818 2,932 2,929

18 4,542 none 1,478 8,365 8,221

19 3,359 none 1,121 1,804 1,633

20 4,645 none 1,521 7,860 7,942

21 7,594 none 2,395 5,035 5,034

Total 131,213 94,662 43,098 182,373 177,765

POVPCT90\\counts: 8014 8024 8103 8203 8303

blank none 124,345 none none none

00 none none none none none

01 10,939 none 2,792 3,966 4,485

02 7,072 none 2,609 3,852 3,973

03 10,535 none 2,890 4,489 4,210

04 8,394 none 3,142 4,315 4,738

05 12,986 none 3,429 4,802 4,553

06 14,407 none 3,316 4,643 4,875

07 6,538 none 3,317 4,790 4,680

08 16,353 none 3,339 4,550 4,851

09 6,529 none 3,693 4,725 4,356

10 11,923 none 3,482 4,286 4,154

11 12,325 none 3,226 4,060 4,092

12 6,081 none 2,930 3,677 3,699

13 6,030 none 2,684 3,516 3,254

14 8,784 none 2,336 2,752 2,929

15 2,517 none 2,212 2,722 2,676

16 16,587 none 3,720 4,753 4,291

17 2,683 none 3,127 3,628 3,456

18 9,046 none 2,195 2,737 2,781

19 1,538 none 1,810 2,134 1,924

20 8,636 none 2,054 2,638 2,891

21 4,968 none 3,501 4,445 4,413

Total 184,871 124,345 61,804 81,480 81,281

POVPCT90\\counts: 8403 8503 8509 8603 8703

blank none none none none none

00 none none none none none

01 4,952 4,076 11,927 1,846 1,831

02 3,845 3,288 4,403 1,550 1,330

03 4,246 3,909 5,950 1,945 1,855

04 4,258 4,078 6,651 1,973 1,917

05 4,423 4,000 11,060 2,064 1,888

06 4,449 4,065 10,569 2,145 1,989

07 4,535 4,136 5,010 2,304 2,124

08 4,341 4,195 11,995 2,347 2,106

09 4,427 4,124 6,859 2,285 2,186

10 3,956 3,892 7,582 2,315 2,031

11 4,045 3,842 8,059 2,163 2,171

12 3,392 3,448 5,636 2,071 1,971

13 3,294 3,409 5,857 1,870 1,859

14 2,910 2,934 6,496 1,790 1,839

15 2,690 2,695 1,618 1,665 1,630

16 4,203 4,696 11,041 3,075 3,005

17 3,751 4,073 3,076 2,544 2,517

18 2,838 2,880 7,811 1,850 2,095

19 2,242 2,490 1,459 1,669 1,655

20 2,949 3,528 5,898 2,220 2,510

21 4,986 6,313 5,741 4,331 4,762

Total 80,732 80,071 144,698 46,022 45,271

POVPCT90\\counts: 8803 8903 9003 9103 9203

blank none none none none none

00 none none none none none

01 1,921 1,743 1,920 2,127 1,894

02 1,307 1,229 1,220 1,416 1,358

03 1,629 1,607 1,696 1,871 1,680

04 1,920 1,791 1,752 1,913 1,844

05 1,876 1,832 1,895 2,043 1,991

06 1,910 1,800 2,053 2,235 2,122

07 2,087 2,031 1,992 2,310 2,144

08 2,273 1,962 2,095 2,313 2,146

09 2,073 1,945 2,073 2,355 2,073

10 2,234 1,895 2,007 2,191 2,076

11 2,074 1,846 1,961 2,299 2,096

12 2,007 1,830 2,039 2,053 1,910

13 2,031 1,757 1,842 2,025 1,775

14 1,794 1,566 1,801 1,861 1,798

15 1,642 1,606 1,608 1,853 1,491

16 3,086 2,769 2,811 3,215 2,890

17 2,452 2,363 2,346 2,662 2,256

18 1,982 1,890 2,016 2,258 1,875

19 1,758 1,514 1,721 1,857 1,477

20 2,496 2,235 2,482 2,591 2,116

21 4,927 4,714 4,955 5,589 4,538

Total 45,479 41,925 44,285 49,037 43,550

POVPCT90\\counts: 9303 9403 9503 9603 9703

Blank none none none none none

00 none none none none none

01 3,664 8,736 5,428 4,770 4,595

02 2,170 5,213 3,120 2,700 2,524

03 2,593 5,265 3,404 2,981 3,119

04 3,014 5,613 3,575 3,050 3,275

05 2,877 5,128 3,615 3,308 3,299

06 2,783 5,446 3,796 3,214 3,383

07 3,073 5,163 3,725 3,189 3,275

08 3,126 5,045 3,620 3,189 3,246

09 2,979 4,972 3,437 3,124 2,981

10 2,922 4,592 3,437 3,064 2,801

11 2,909 4,233 3,166 2,711 2,872

12 2,797 3,952 2,982 2,876 2,778

13 2,494 3,891 2,870 2,610 2,541

14 2,430 3,521 2,730 2,423 2,304

15 2,288 3,093 2,437 1,992 2,083

16 4,012 5,659 4,299 3,726 3,732

17 3,165 4,052 3,700 2,941 3,092

18 2,601 3,703 2,791 2,519 2,351

19 2,016 2,822 2,127 1,896 2,095

20 3,073 4,239 3,540 2,880 3,077

21 5,913 8,948 7,686 6,392 6,971

Total 62,899 103,286 75,485 65,555 66,394

POVPCT90\\counts: 9803

blank none

00 none

01 4,527

02 2,485

03 2,943

04 3,024

05 3,041

06 3,141

07 3,337

08 3,042

09 2,928

10 2,920

11 3,010

12 2,716

13 2,442

14 2,454

15 2,273

16 3,753

17 3,060

18 2,437

19 2,122

20 3,161

21 7,357

Total 66,173

[]{#MATCHKEY .anchor}67. MATCHKEY

Description:

Because the control cards for the cohorts 8603 chronologically through
9303 were destroyed, the name variables used for record linkage were not
available for these cohorts. In order to obtain as many records as
possible for the NLMS for these cohorts, a search of later files was
made to see if the social security number was collected during a visit
to the household at a later month. For example, the social security
number was collected in the fifth visit to the household, that is, in
February of the next year. The variable MATCHKEY then would be used to
indicate that sampling took place in a month other than the cohort
month. The impact of this effort is that since information from a later
household visit was incorporated into the record, the record has a new,
later, start time for follow-up purposes. That is, by using information
collected at a later date than the indicated standard cohort start date,
we know that the person was alive at that the later date.

The MATCHKEY variable is defined for all cohorts. For cohorts 8509 and
earlier, only one start date is valid for the cohort and the value for
MATCHKEY assigned to all records for these cohorts is, \'0 - the
established start date for the cohort.\' For cohorts later,
chronologically, than the 8509 file, i.e., those cohorts developed for
the expanded NLMS, MATCHKEY values indicating a later start date are
given according to the code below:

1.  \- the established start date for the cohort.

2.  \- start date is in March of the next year. (For 8603 that would be
    March of 1987.)

> 2 - start date is in February of the next year. (For 8603 that
>
> would be February of 1987.)
>
> 3 - start date is January of the next year. (For 8603 that would be
> January of 1987.)
>
> 4 - start date is December of the next year. (For 8603 that would be
> December of 1986.)
>
> 5 - no Social Security Number was found on the original file and no
> SSN was found for any other month of those possible.

(For cohorts 1986 through 1993 there are no MATCHKEY values of 5 in the
NLMS because a Social Security Number was required to be a valid record.
For files 1994 and later use the original start date established for the
cohort.)

To determine the start date for records with a MATCHKEY variable value
between 1 and 4, the standard start date rule applies.

A CPS, one week, interview period starts the Sunday of the week
containing the 19th of the month and is held that week. The last day of
the interview period would be Tuesday of the next week.

The appropriate start date would then be, for NLMS purposes, the Tuesday
following interview week. A perpetual calendar is required to determine
what day of the month that Tuesday would be. Start times for each
non-zero, non-five value of MATCHKEY depends on the year and month
involved.

MATCHKEY\\counts: 7303 7802 7903 8008 8012

0 131,213 94,662 43,098 182,373 177,765

1 none none none none none

2 none none none none none

3 none none none none none

5 none none none none none

Total 131,213 94,662 43,098 182,373 177,765

MATCHKEY\\counts: 8014 8024 8103 8203 8303

0 184,871 124,345 61,804 81,480 81,281

1 none none none none none

2 none none none none none

3 none none none none none

5 none none none none none

Total 184,871 124,345 61,804 81,480 81,281

MATCHKEY\\counts: 8403 8503 8509 8603 8703

0 80,732 80,071 144,698 44,059 43,301

1 none none none 1,963 1,970

2 none none none none none

3 none none none none none

5 none none none none none

Total 80,732 80,071 144,698 46,022 45,271

MATCHKEY\\counts: 8803 8903 9003 9103 9203

0 43,564 39,945 42,190 49,037 41,629

1 1,915 1,980 2,095 none 1,921

2 none none none none none

3 none none none none none

5 none none none none none

Total 45,479 41,925 44,285 49,037 43,550

MATCHKEY\\counts: 9303 9403 9503 9603 9703

0 45,059 103,286 75,485 65,555 66,394

1 3,651 none none none none

2 49 none none none none

3 104 none none none none

5 14,036 none none none none

Total 62,899 103,286 75,485 65,555 66,394

MATCHKEY\\counts: 9803

0 66,173

1 none

2 none

3 none

5 none

Total 66,173

[]{#START .anchor}68. Start Date START

Description:

START is the start-date or date of follow-up for the cohort (see
discussion of MATCHKEY). Generally, the start date for NLMS purposes is
the last day of interview. The last day of interview is defined to be
the Tuesday of the second interview week. The first week of interview is
predetermined to be the week containing the 19^th^ of the month. If a
cohort member dies before the start-date, they are not included in the
NLMS even though they may have have completed the interview.

Cohort Starting Date Count

\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\--

7303 01/01/1979 131,213

7802 01/01/1979 94,662

7903 03/18/1979 43,098

8008 08/17/1980 182,373

8012 12/14/1980 177,765

8014 04/13/1980 184,871

8024 01/01/1981 124,345

8103 03/15/1981 61,804

8203 03/14/1982 81,480

8303 03/13/1983 81,281

8403 03/18/1984 80,732

8503 03/17/1985 80,071

8509 09/21/1985 144,698

8603 03/25/1986 44,059

03/24/1987 1,963

8703 03/24/1987 43,301

03/22/1988 1,970

8803 03/22/1988 43,564

03/28/1989 1,915

8903 03/28/1989 39,945

8903 03/27/1990 1,980

9003 03/27/1990 42,190

03/26/1991 2,095

9103 03/26/1991 49,037

9203 03/24/1992 41,629

03/23/1993 1,921

9303 03/23/1993 59,095

01/25/1994 104

02/22/1994 49

03/22/1994 3,651

9403 03/22/1994 103,286

9503 03/28/1995 75,485

9603 03/26/1996 65,555

9703 03/25/1997 66,394

9803 03/24/1998 66,173

[]{#CATIAPI .anchor}69. Asian or Pacific Islanders CATIAPI

Description: Detailed breakdown of ethnic origin for persons from
selected locations on the Asian perimeter or the Pacific Ocean basin.
This detailed information is available only since 1992. Variable CATIAPI
generally agrees with NLMS expanded race variable, RACEX, level 4,
described as Asian or Pacific Islanders. On the 9203 and 9303
masterfiles, this variable was identified as API (Asian or Pacific
Islander). During the first two years that it was collected, responses
for this variable were obtained by both personal visit interviews and
the use of CATI (Computer Assisted Telephone Interview). On the 9403
masterfile, and all later files, the variable was called CATIAPI since
all information was collected using CATI interviews.

NOT AVAILABLE for files: 7303 chronologically up through 9103.

Codes for files: 9203 chronologically up through 9803

bl -- missing value or not collected in survey

00 - Not in Universe (includes all groups not identified below)

01 -- Chinese

> 02 -- Filipino
>
> 03 -- Japanese
>
> 04 -- Asian Indian
>
> 05 -- Korean
>
> 06 -- Vietnamese
>
> 07 -- Laotian, Cambodian, Hmong
>
> 08 -- Other Asian (z.b. Thai, Pakistani, Srilankan, Burmese)
>
> 09 -- Hawaiian

10 -- Other Pacific Islander (z.b. Samoan, Guamanian, Tongan)

> CATIAPI\\counts: 9203 9303 9403 9503 9603
>
> 00 42,503 61,415 99,987 73,071 63,572
>
> 01 187 317 630 430 375
>
> 02 217 299 643 532 358
>
> 03 209 254 392 331 235
>
> 04 85 117 252 138 142
>
> 05 84 102 392 249 181
>
> 06 60 96 232 216 166
>
> 07 28 69 131 97 115
>
> 08 78 92 285 181 120
>
> 09 62 103 183 123 174
>
> 10 37 35 159 117 117
>
> Total 43,550 62,899 103,286 75,485 65,555
>
> CATIAPI\\counts: 9703 9803
>
> 00 64,315 64,068
>
> 01 490 376
>
> 02 372 426
>
> 03 252 274
>
> 04 158 186
>
> 05 217 170
>
> 06 172 241
>
> 07 86 102
>
> 08 122 104
>
> 09 106 97
>
> 10 104 129
>
> Total 66,394 66,173

[]{#EDUCORIG .anchor}70. Highest Grade Completed (Unrecoded) EDUCORIG

Highest grade completed according to **codes in use at the time of the
survey**. Distribution of codes is as given below.

NOT AVAILABLE for file: 8024

Codes for files: 7303 chronologically up through 8503, 8603 and 8703
excluding Cohort 8024

blank- Missing, invalid

00 -- missing, unknown, children 10 - Completed H1

01 - None 11 - completed H2

02 - Completed El 12 - Completed H3

03 - Completed E2 13 - Completed H4

04 - Completed E3 14 - Completed C1

05 - Completed E4 15 - Completed C2

06 - completed E5 16 - Completed C3

07 - Completed E6 17 - Completed C4

08 - Completed E7 18 - Completed C5

09 - Completed E8 19 - Completed C6+

EDUCORIG\\counts: 7303 7802 7903 8008 8012

00 33,905 438 10,431 41,188 40,403

01 763 706 369 956 875

02 189 198 62 165 203

03 438 318 175 447 449

04 846 588 270 802 798

05 1,032 794 333 977 968

06 1,291 970 402 1,269 1,159

07 2,217 1,878 815 2,377 2,262

08 3,931 2,932 1,103 3,227 3,610

09 11,331 9,075 3,073 12,024 11,631

10 6,968 6,208 2,099 8,485 8,255

11 7,736 7,075 2,362 10,144 9,747

12 5,963 5,598 1,940 8,411 7,883

13 32,743 32,467 10,944 50,587 48,704

14 4,696 5,175 1,848 8,308 8,433

15 5,042 5,849 2,035 9,653 9,352

16 2,095 2,391 839 3,953 3,859

17 6,302 7,248 2,410 11,656 11,377

18 1,319 1,671 508 2,535 2,524

19 2,406 3,083 1,080 5,209 5,273

Total 131,213 94,662 43,098 182,373 177,765

EDUCORIG\\counts: 8014 8103 8203 8303 8403

00 41,534 13,843 19,376 19,022 19,080

01 946 314 435 431 405

02 226 69 100 112 94

03 477 147 235 247 192

04 801 263 406 375 337

05 1,067 320 533 479 446

06 1,327 419 576 565 538

07 2,495 827 1,137 1,138 1,042

08 4,587 1,403 1,377 1,246 1,174

09 13,104 3,948 4,565 4,273 4,270

10 8,721 2,887 3,646 3,523 3,370

11 10,048 3,115 4,219 4,052 3,891

12 8,291 2,670 3,526 3,428 3,341

13 50,237 17,559 22,615 22,719 22,808

14 8,438 2,879 3,662 3,840 3,863

15 9,363 3,185 4,335 4,578 4,548

16 3,862 1,265 1,732 1,759 1,741

17 11,518 4,052 5,291 5,730 5,638

18 2,607 792 1,192 1,185 1,189

19 5,222 1,847 2,522 2,579 2,765

Total 184,871 61,804 81,480 81,281 80,732

EDUCORIG\\counts: 8503 8603 8703

00 18,369 744 531

01 408 182 186

02 88 56 45

03 199 115 95

04 348 182 174

05 430 245 236

06 497 323 314

07 1,032 632 593

08 1,110 778 754

09 4,114 2,700 2,642

10 3,388 2,202 2,100

11 3,886 2,694 2,572

12 3,262 2,236 2,221

13 22,616 17,312 16,829

14 4,035 3,134 2,947

15 4,683 3,440 3,757

16 1,792 1,434 1,390

17 5,962 4,513 4,680

18 1,159 925 931

19 2,693 2,175 2,274

Total 80,071 46,022 45,271

Codes for files: 8509, 8803 chronologically up through 9103

00 - Completed None 10 - Completed H2

01 - Completed E1 11 - Completed H3

02 - Completed E2 12 - Completed H4

03 - Completed E3 13 - Completed C1

04 - Completed E4 14 - Completed C2

05 - Completed E5 15 - Completed C3

06 - Completed E6 16 - Completed C4

07 - Completed E7 17 - Completed C5

08 - Completed E8 18 - Completed C6+

09 - Completed E9

EDUCORIG\\counts: 8509 8803 8903 9003 9103

00 31,052 650 663 617 546

01 115 41 48 49 50

02 252 137 131 105 133

03 513 183 193 178 206

04 634 198 233 218 253

05 782 297 258 280 271

06 1,644 591 549 569 658

07 2,219 753 678 674 673

08 8,020 2,522 2,266 2,250 2,220

09 6,058 2,137 1,982 1,996 2,066

10 7,039 2,613 2,248 2,399 2,544

11 5,822 2,236 2,055 2,177 2,286

12 42,270 17,189 15,510 16,522 18,650

13 7,202 2,905 2,818 3,093 3,472

14 8,906 3,593 3,382 3,709 4,322

15 3,535 1,369 1,359 1,407 1,609

16 11,304 4,678 4,515 4,792 5,429

17 2,184 899 850 843 990

18 5,147 2,488 2,187 2,407 2,659

Total 144,698 45,479 41,925 44,285 49,037

Codes for files: 9203 chronologically up through 9803

00 = Children

31 = less than 1st grade

32 = 1^st^, 2^nd^, 3^rd^, or 4^th^ grade

33 = 5th or 6th grade

34 = 7th or 8th grade

35 = 9th grade

36 = 10th grade

37 = 11th grade

38 = 12th grade no diploma

39 = HS graduate

40 = Some college but no degree

41 = Associate Degree -- college, occupational/vocational program

42 = Associate Degree -- college, academic program

43 = Bachelors Degree (e.g. BA, AB, BS)

44 = Masters Degree (e.g. MA, MS, MENG, MED, MSW, MBA)

45 = Professional School Degree (e.g. MD, DDS, LLB, DVM, etc.)

46 = Doctorate (e.g. Ph.D, Ed.D)

EDUCORIG\\counts: 9203 9303 9403 9503 9603

00 363 10,911 26,254 17,703 15,470

31 190 254 471 309 271

32 531 581 1,010 685 599

33 754 1,025 1,892 1,253 1,118

34 2,436 2,868 4,019 3,052 2,629

35 1,607 1,979 3,164 2,505 2,121

36 2,103 2,566 3,884 2,830 2,476

37 1,949 2,261 3,556 2,598 2,361

38 749 828 1,312 741 725

39 14,455 17,355 24,536 18,490 15,940

40 7,783 9,313 14,123 10,275 8,863

41 1,446 1,880 2,605 1,992 1,719

42 1,044 1,288 2,152 1,624 1,442

43 5,461 6,574 9,771 7,679 6,711

44 1,900 2,239 3,080 2,554 2,158

45 490 574 854 704 574

46 289 403 603 491 378

Total 43,550 62,899 103,286 75,485 65,555

EDUCORIG\\counts: 9703 9803

00 15,300 15,549

31 266 210

32 590 536

33 1,120 1,099

34 2,489 2,319

35 2,177 2,033

36 2,493 2,364

37 2,434 2,329

38 773 783

39 16,089 15,972

40 9,112 9,144

41 1,692 1,765

42 1,531 1,601

43 7,020 7,206

44 2,220 2,196

45 621 617

46 467 450

Total 66,394 66,173

71\. Detailed class of worker []{#CLASSWKR .anchor}CLASSWKR APPEND\[SE\]

Description:

Detailed class of worker as derived from the type of work performed and
the response to question 23E. on the survey. This variable was coded
differently during different time periods of follow-up of the NLMS. The
variable RCOW1 is a more direct response to question 23E.

NOT AVAILABLE for cohort: 8024

Codes for files: 7303, 7802, 8014, 8008, 8012

blank -- Not in the universe

\^\^ - Missing value, unknown

\-- - Missing value, unknown

-1 -- Missing value, unknown

00 -- Not in the Labor Force

01 -- Agriculture, Wage & Salary

02 -- Agriculture, Self-Employed

03 -- Agriculture, Unpaid Family

04 -- Non-agriculture, Wage and Salary, private household

05 -- Non-agriculture, Wage and Salary, government

Non-agriculture, Wage and Salary, other private

Goods producing industries

06 - White collar occupations

07 - Blue collar occupations

08 - Service occupations

Service producing industries

09 - White collar occupations

10 - Blue collar occupations

11 - Sevice occupations

12 -- Non-agriculture, Wage and Salary, self-employed

13 -- Non-agriculture, Wage and Salary, unpaid family

14 -- No previous full time work experience

CLASSWKR\\counts: 7303 7802 8008 8012 8014

none 760 41,188 8,931 41,534

\-- 33,734 none none none none

00 41,151 37,948 52,401 53,121 55,447

01 760 698 1,708 1,266 1,457

02 1,129 812 2,006 1,667 1,788

03 273 113 459 252 348

04 1,348 1,033 1,529 1,254 1,276

05 8,885 9,060 13,613 13,711 14,419

06 4,328 4,407 6,701 6,466 6,860

07 11,896 10,787 16,007 14,646 15,742

08 301 282 399 347 390

09 13,357 14,472 23,139 22,766 22,938

10 5,325 5,258 8,087 7,704 7,936

11 4,277 4,606 7,979 7,283 7,833

12 3,598 3,599 5,902 5,922 5,874

13 371 264 330 296 325

14 480 563 925 661 704

\^\^ none none none 31,472 none

Total 131,213 94,662 182,373 177,765 184,871

Codes for files: 7903, 8103, 8203, 8303, 8403, 8503, 8509,

8603, 8703, 9403, 9503, 9603, 9703, 9803

blank -- Not in the universe

00 -- Not in the Labor Force

01 -- Private Industry

02 -- Federal Government

03 -- State Government

04 -- Local Government

05 -- Self Employed \-- Incorporated

06 - Self employed --- Not Incorporated

07 - Without pay

08 - Never Worked

CLASSWKR\\counts: 7903 8103 8203 8303 8403

00 21,258 31,925 40,854 40,320 40,070

01 15,669 21,283 28,983 29,103 29,126

02 724 985 1,346 1,306 1,401

03 788 1,183 1,516 1,607 1,605

04 2,049 2,528 3,436 3,421 3,372

05 387 651 879 1,023 946

06 1,687 2,630 3,526 3,610 3,544

07 241 322 431 379 262

08 295 297 509 512 406

Total 43,098 61,804 81,480 81,281 80,732

(Continued)

CLASSWKR\\counts: 8503 8509 8603 8703 9403

00 39,315 69,870 14,664 13,992 52,659

01 29,692 54,375 22,977 22,841 37,403

02 1,242 2,292 1,030 1,015 1,445

03 1,572 2,733 1,222 1,280 2,054

04 3,236 6,036 2,785 2,733 3,724

05 1,010 1,868 733 769 1,572

06 3,405 6,409 2,456 2,513 4,116

07 209 487 155 128 81

08 390 628 none none 232

Total 80,071 144,698 46,022 45,271 103,286

CLASSWKR\\counts: 9503 9603 9703 9803

00 37,429 32,550 32,613 32,307

01 27,642 24,411 24,972 25,288

02 1,140 898 874 859

03 1,708 1,357 1,416 1,399

04 2,965 2,438 2,484 2,469

05 1,238 904 1,074 1,051

06 3,115 2,792 2,765 2,618

07 55 55 33 38

08 193 150 163 144

Total 75,485 65,555 66,394 66,173

Codes for files: 8803, 8903, 9003, 9103, 9203, 9303

blank -- Not in the universe

-1 -- Not in the Labor Force, children, armed forces

00 -- Missing value, unknown

Agricultural:

01 -- Wage and Salary - private

02 -- Wage and Salary - government

03 -- Self-Employed

04 -- Unpaid Family

Non-agricultural:

Wage and Salary, Private Industry:

05 - - private household

06 -- - other private

Wage and Salary, Government:

07 -- - Federal

08 -- - State

09 -- - Local

10 -- Self-Employed

11 -- Unpaid Family

CLASSWKR\\counts: 8803 8903 9003 9103 9203

none 48 68 none none

-1 none 13,118 13,967 14,879 none

00 15,044 475 400 583 14,042

01 432 471 454 504 436

02 5 6 7 6 5

03 438 401 434 443 376

04 40 38 40 48 22

05 307 293 279 260 255

06 22,191 20,460 21,599 24,502 21,700

07 944 855 973 973 863

08 1,257 1,189 1,313 1,546 1,268

09 2,601 2,466 2,558 2,844 2,525

10 2,148 2,029 2,127 2,375 2,011

11 72 76 66 74 47

Total 45,479 41,925 44,285 49,037 43,550

(Continued)

CLASSWKR\\counts: 9303

none

-1 none

00 28,150

01 523

02 3

03 458

04 48

05 334

06 25,179

07 1,059

08 1,468

09 3,125

10 2,471

11 81

Total 62,899

[]{#RCOW1 .anchor}72. Recoded class of worker RCOW1 APPEND\[SE,RE\]

Description:

Recode of detailed class of worker.

NOT AVAILABLE for file: 8024

Codes for file: 7303

\- - Unknown, not in universe

0 -- Never worked

Employed:

1 - Private

2 - Government

3 - Self-Employed

4 - Unpaid Family

Unemployed:

5 - Private

6 - Government

7 - Self-Employed

8 - Unpaid Family

RCOW1\\counts: 7303

\- 33,734

0 41,631

1 39,308

2 8,683

3 4,683

4 637

5 2,272

6 214

7 44

8 7

Total 131,213

Codes for files: all files except 8024 and 7303

blank -- not in the universe, unknown

\- - Unknown

0 -- Unknown, not in the universe

1 -- Private Industry

2 -- Federal Government

3 -- State Government

4 -- Local Government

5 -- Self-employed - Incorporated

6 -- Self-employed -- Not Incorporated

7 -- Worked without pay

8 -- Never worked

RCOW1\\counts: 7802 7903 8008 8012 8014

760 none 41,188 8,931 41,534

\- 34,464 none 47,939 48,524 50,108

0 none 21,258 none none none

1 42,948 15,669 66,810 63,148 66,303

2 1,871 724 3,348 3,030 3,251

3 2,202 788 3,385 3,545 3,747

4 5,494 2,049 7,555 7,796 8,083

5 1,007 387 1,794 1,839 1,813

6 4,591 1,687 8,201 7,875 8,003

7 651 241 1,139 866 1,062

8 674 295 1,014 739 967

\^ none none none 31,472 none

Total 94,662 43,098 182,373 177,765 184,871

RCOW1\\counts: 8103 8203 8303 8403 8503

none none none none none

\- none none none none none

0 31,925 40,854 40,320 40,070 39,315

1 21,283 28,983 29,103 29,126 29,692

2 985 1,346 1,306 1,401 1,242

3 1,183 1,516 1,607 1,605 1,572

4 2,528 3,436 3,421 3,372 3,236

5 651 879 1,023 946 1,010

6 2,630 3,526 3,610 3,544 3,405

7 322 431 379 262 209

8 297 509 512 406 390

\^ none none none none none

Total 61,804 81,480 81,281 80,732 80,071

RCOW1\\counts: 8509 8603 8703 8803 8903

none none none 14,449 13,025

\- none none none none none

0 69,870 14,664 13,992 435 475

1 54,375 22,977 22,841 22,114 20,424

2 2,292 1,030 1,015 944 855

3 2,733 1,222 1,280 1,260 1,193

4 6,036 2,785 2,733 2,603 2,468

5 1,868 733 769 799 800

6 6,409 2,456 2,513 2,586 2,430

7 487 155 128 112 114

8 628 none none 177 141

\^ none none none none none

Total 144,698 46,022 45,271 45,479 41,925

RCOW1\\counts: 9003 9103 9203 9303 9403

none 14,879 13,510 17,093 none

\- 49 none none none none

0 14,356 583 386 11,249 52,659

1 21,494 24,401 21,628 24,873 37,403

2 972 974 863 1,060 1,445

3 1,314 1,548 1,271 1,458 2,054

4 2,549 2,847 2,527 3,109 3,724

5 741 865 759 1,007 1,572

6 2,560 2,818 2,387 2,920 4,116

7 106 122 69 129 81

8 144 none 150 1 232

\^ none none none none none

Total 44,285 49,037 43,550 62,899 103,286

RCOW1\\counts: 9503 9603 9703 9803

none none none none

\- none none none none

0 37,429 32,550 32,613 32,307

1 27,642 24,411 24,972 25,288

2 1,140 898 874 859

3 1,708 1,357 1,416 1,399

4 2,965 2,438 2,484 2,469

5 1,238 904 1,074 1,051

6 3,115 2,792 2,765 2,618

7 55 55 33 38

8 193 150 163 144

\^ none none none none

Total 75,485 65,555 66,394 66,173

[]{#SEXF .anchor}73. Sex from Multiple Sources SEXF

Description: This variable indicates the most complete information for
gender available to the NLMS. The defining value assigned to this
variable includes an attempt to identify missing values and settle
inconsistencies between several sources by manual review. The defining
value is determined by NLMS processing and may or may not be in
agreement with the associated CPS or Census files. This multistep
process was used to determine a valid SEXF entry for the following
files: 7303, 7802, 8014, 8008, 8012, 8024, 8203 and 8509. The value of
SEXF for all other NLMS files is the value of gender existing on the CPS
or Census file, i.e. the value listed under the variable SEX. In some
cases original values of gender are imputed for CPS purposes and were
the values received by the NLMS from the CPS masterfile source.

In addition, the following steps were followed to define the value of
SEXF for the indicated files. If the value of SEX and SEXC are valid
entries, i.e. a 1=male or 2=female, and SEX=SEXC, then SEXF is assigned
the common value. If the value of SEX is a valid entry and SEXC is
missing, the value of SEX is assigned to SEXF. If the value of SEX is
missing and the value of SEXC is a valid entry, the value of SEXC is
assigned to SEXF. If SEX and SEXC are valid but do not agree, then a
manual review was conducted using as a first gender screen the uniquely
male and uniquely female first names from the National Death Index.
Cases not identified in this process were then listed within household
for a manual, visual, review. Names that were not identifiable in this
setting were assigned the value of variable SEX, the, possibly imputed,
value of gender on the operational CPS file and the value of gender that
is accepted as correct on the CPS master file.

Codes for all files:

1.  -- Sex is male

2.  -- Sex if female

SEXF\\counts: 7303 7802 7903 8008 8012

none none none none none

1 63,470 44,717 20,721 88,170 85,878

2 67,743 49,943 22,377 94,203 91,886

9 none 2 none none 1

Total 131,213 94,662 43,098 182,373 177,765

SEXF\\counts: 8014 8024 8103 8203 8303

none none none 1 none

1 89,398 57,968 29,884 39,398 39,144

2 95,473 66,376 31,920 42,081 42,137

9 none 1 none none none

Total 184,871 124,345 61,804 81,480 81,281

SEXF\\counts: 8403 8503 8509 8603 8703

none none none none none

1 38,934 38,440 69,731 21,572 21,140

2 41,798 41,631 74,967 24,450 24,131

9 none none none none none

Total 80,732 80,071 144,698 46,022 45,271

SEXF\\counts: 8803 8903 9003 9103 9203

none none none none none

1 21,279 19,606 20,701 23,298 20,559

2 24,200 22,319 23,584 25,739 22,991

9 none none none none none

Total 45,479 41,925 44,285 49,037 43,550

SEXF\\counts: 9303 9403 9503 9603 9703

none none none none none

1 29,966 49,598 36,212 31,336 32,041

2 32,933 53,688 39,273 34,219 34,353

9 none none none none none

Total 62,899 103,286 75,485 65,555 66,394

SEXF\\counts: 9803

none

1 31,905

2 34,268

9 none

Total 66,173

[]{#HISTATUS .anchor}Number range CHAPTER74. Health Insurance Status
HISTATUS

Description: This indicator variable tells whether or not the person was
covered by any health insurance plan in the previous calendar year. The
variable, although derived specifically for NLMS files by NLMS staff, is
based on the same criteria as used for the official U.S. government
tabulation of Health Insurance statistics released by the U.S. Census
Bureau. The variable definition is a yes/no response to the question of
health insurance coverage by an employer(individual or group plan),
private coverage, Medicare, Medicaid or government(ChampUS, ChampVA or
Indian Health Service) and is given a "1\' or '2\' value, accordingly.

NOTE: The format of the 1981 CPS questionnaire did not allow for the
collection of information on private health insurance coverage. The
result of this problem is that a larger than expected number of persons
are identified as not covered by a health insurance program even though
they, in fact, have a privately carried health coverage. The
questionnaire was changed beginning in 1982 to allow for the collection
of information concerning privately financed health insurance coverage.

NOT AVAILABLE for files: 7303, 7802, 7903, 8014, 8024, 8008, 8012, 8509

Codes for files: All March files except 7303 and 7903.

> 1 - Person is covered by health insurance from an employer, private
> purchase, Medicare, Medicaid or governmental health insurance plan
>
> 2 - Person is not covered by an acceptable health insurance
>
> plan

HISTATUS\\counts: 8103 8203 8303 8403 8503

1 46,335 66,935 66,128 64,892 64,148

2 15,469 14,545 15,153 15,840 15,923

Total 61,804 81,480 81,281 80,732 80,071

HISTATUS\\counts: 8603 8703 8803 8903 9003

1 40,229 39,576 40,565 36,953 38,969

2 5,793 5,695 4,914 4,972 5,316

Total 46,022 45,271 45,479 41,925 44,285

HISTATUS\\counts: 9103 9203 9303 9403 9503

1 42,794 38,004 54,483 85,940 63,945

2 6,243 5,546 8,416 17,346 11,540

Total 49,037 43,550 62,899 103,286 75,485

HISTATUS\\counts: 9603 9703 9803

1 55,509 55,942 55,525

2 10,046 10,452 10,648

Total 65,555 66,394 66,173

[]{#HITYPE .anchor}75. Health Insurance Type HITYPE

Definition: This variable summarizes, in broad categories, the type of
health insurance coverage that the person had at any time in the
previous calendar year. The variable is created using the following
hierarchical generalized definition:

If \[X\] is over 50, is \[X\] covered by Medicare? Yes=\> HITYPE=1 STOP

If No, is \[X\] covered by an employer health plan? Yes=\> 4 STOP

If No, is \[X\] covered by private health plan? Yes=\> 5 STOP

If No, is \[X\] covered by Medicare? Yes=\> 1 STOP

If No, is \[X\] covered by Medicaid? Yes=\> 2 STOP

If No, is \[X\] covered by ChampUS, ChampVA or the Indian Health

Services? Yes=\> 3 STOP

Else HITYPE = 0.

(For this definition, if the response is, "Yes" at any step, the
definition is complete at that point, indicated by the phrase, "STOP,"
and all additional checks are not made.)\_

NOTE: For files 8103 through 8503, a manual imputation was conducted by
NLMS staff to generate, in case of missing values, a relative to head
variable, RELTHD. This imputed value was not maintained as a permenant
value on NLMS files. The imputation was conducted by examining the
household structure, including input on age, sex, and full name. The
RELTHD variable is of key importance in the determination of health
insurance status and type because insurance policy holders may hold
group coverage for other members of their family.

NOT AVAILABLE FOR FILES: All files prior to 8103 and 8024,8509

Codes for files: All March files from 8103 through 9803

0 - Missing, Not in Universe, Unknown

1 - Medicare

2 - Medicaid

3 - ChampUS, ChampVA, VA Health Care, Military Health Care,

Indian Health Care, Other Governmental Health Care

4 - Employer(as provider/as dependent), Group Coverage through an

employer

5 - Private(as provider/as dependent), Private coverage not

> through an employer

HITYPE\\counts: 8103 8203 8303 8403 8503

0 15,469 14,545 15,153 15,840 15,923

1 6,150 9,108 8,846 8,878 9,151

2 1,450 2,061 2,060 2,106 2,175

3 974 1,218 1,193 1,231 1,021

4 37,761 48,036 47,648 46,389 45,760

5 none 6,512 6,381 6,288 6,041

Total 61,804 81,480 81,281 80,732 80,071

HITYPE\\counts: 8603 8703 8803 8903 9003

0 5,793 5,695 4,914 4,972 5,316

1 7,452 7,258 7,699 6,992 7,375

2 1,640 1,685 1,494 1,447 1,590

3 762 699 769 655 656

4 26,492 26,168 26,646 24,393 25,542

5 3,883 3,766 3,957 3,466 3,806

Total 46,022 45,271 45,479 41,925 44,285

HITYPE\\counts: 9103 9203 9303 9403 9503

0 6,243 5,546 8,416 17,346 11,540

1 7,861 7,561 9,215 11,791 9,607

2 1,929 1,910 3,884 10,284 6,242

3 842 618 875 1,379 1,305

4 28,174 24,509 34,857 51,890 42,755

5 3,988 3,406 5,652 10,596 4,036

Total 49,037 43,550 62,899 103,286 75,485

HITYPE\\counts: 9603 9703 9803

0 10,046 10,452 10,484

1 8,392 8,552 8,325

2 5,896 5,622 5,109

3 914 827 1,062

4 36,819 37,448 37,909

5 3,488 3,493 3,284

Total 65,555 66,394 66,173

[]{#HEALTH .anchor}76. General Health HEALTH

Definition: This variable is the response to the question: "Would you
say that \[person\]'s health in general is"

NOT AVAILABLE FOR FILES: All files before 9403

Codes for files: 9403 9503 9603 9703 9803

Codes:

-3 - Refused

-2 - Don't Know

-1 - Missing

00 - Not in Universe

01 - Excellent

02 - Very Good

03 - Good

04 - Fair

05 - Poor

HEALTH\\counts: 9403 9503 9603 9703 9803

-1 5,424 1 20 311 396

-2 34 169 182 203 158

-3 141 869 821 784 684

00 77,174 9,592 6,929 6,037 5,009

01 7,537 23,120 20,421 20,878 20,933

02 6,364 19,881 17,597 17,692 18,599

03 4,319 14,419 13,055 13,603 13,871

04 1,558 5,107 4,462 4,705 4,521

05 735 2,327 2,068 2,181 2,002

Total 103,286 75,485 65,555 66,394 66,173

77\. []{#WGT1 .anchor}Cohorts Weights WGT1, WGT2, WGT3, WGT4

Description:

Four options of weights to use when analyzing CPS files. These weights
were updated versions of the previously defined ADJWGT following the
2001 match to the NDI. This set of weights was created because no
revision of the NLMS weights had taken place since creation of the
original files, and because one file had errors in the original set of
weights. These weights account for changes in the definition of key NLMS
weighting variables, the reclassification of records as fail edit or not
fail edit as determined by the most recent match to the NDI, including
decisions to exclude or not records identified as the earlier of
multiple files.

Weighting of CPS records depends on 5 key variables: age, sex, race,
state of residence, and Hispanic status. The key assumption in the
determination of NLMS weights is that records missing age and sex will
almost never be considered in any NLMS analyses. Records missing these
key pieces of information will not be weighted. Also CPS or Census
records in the NLMS which fail edit, that is, records which can not
match to the NDI according to the NDI matching criteria, identified by
IND201 = 0 or 1, are not weighted. The 4 weighting options developed are
based on whether or not the person is in the earlier of two or more
files and whether or not race is identified. Files from 1986 or later
are also weighted for Hispanic status.

The approach used in determining weights for NLMS records is that
weights will be determined within NLMS cohort to represent the fully
eligible population at the time of survey. When cohorts are combined
with other cohorts in an analysis, adjustments to the weights will have
to be made to fairly weight the combined data to account for cohort
differences in size and the population to be represented by the combined
data. The reference population used for the derivation of the NLMS
weights is the non-institutionalized population of the United States at
the time of survey. The starting point of the weighting process is the
original file weight developed by the Census Bureau at the time of the
survey. For the March CPS files this variable is called, MARSUPWT. This
original weight was assigned to all records on the masterfile using
imputed values for cases missing the key weighting variables at the time
the file was developed for the CPS Branch. The "official" U.S.
non-institutionalized population totals by age, race, sex and state used
for NLMS weight determination are the same official Census Bureau
population totals used at the time of survey as appropriate population
totals for determining the original survey record weights. Each of the 4
new NLMS weighting options are adjusted to the population figures
originally used for the final survey weights but account for missing
values or deleted records not in the NLMS. In order to minimize the
number of records missing state of residence, the survey geography, PSU
and Segment, on the cohort masterfile was used in an attempt to identify
the state of residence. The state code derived in this manner is added
to the NLMS Extract and Analyses files to replace the missing state
value.

The weighting process followed to weight the NLMS is based on the
assumption that the established final CPS weight accounts for sampling
disparities and the relationships between records on the file. The
reweighting process implemented, therefore, adjusts for the fail-edit
status of the NLMS records. The weighting process consists of ratio
adjustments and raking across the indicated demographic variables and
mimics the process used to determine the original CPS weights on the
file. First, a Hispanic status ratio adjustment is made to the files
from 1986 and later by age and Hispanic status. Then the files are raked
and ratio adjusted by age-sex-race and then by state of residence in
four iterations to the converge to the corresponding
non-institutionalized population.

The four new weighting variables developed are missing for a record if
the record is a fail edit, is missing age and gender or state of
residence. The weights and their characteristics are by name:

**WGT1:** This weight is to be used in analyses when combining multiple
NLMS cohorts and the variable race is used in the analyses.

**Records having 0 WGT1 weight(records not for use in analyses):**

> a\. Records failing edit, i.e. IND201 = 0 or 1,

b.  Records for deceased which are the earlier of multiple files, IND201
    = 4.

> c\. Records missing race, gender or age,

d\. Records missing state of residence

**WGT2:** This weight is based on the same exclusions as WGT1 except
that records classified as the earlier of two files are included (NOT
DELETED) for purposes of weighting determination. When using this weight
the assumption would be that the file will be analyzed as a stand-alone
file without other NLMS files in the analyses.

**Records having 0 WGT2 weight(records not for use in analyses):**

> a\. Records failing edit, i.e. IND201 = 0 or 1,

b\. Records missing race, gender or age,

c\. Records missing state of residence .

**WGT3:** This weight is derived ignoring the condition that the record
is missing a value for race. When using this weight, the assumption
would be that the file will be analyzed as part of a group of NLMS files
and that a value of race is not required for the analyses involved. This
weight is determined after deleting records which are the
earlier-of-two-files and is therefore, suitable for use when combining
multiple files in analyses.

**Records having 0 WGT3 weight(records not for use in analyses):**

> a\. Records failing edit, i.e. IND201 = 0 or 1,

b.  Records for deceased which are the earlier of multiple files, IND201
    = 4.

> c\. Records missing either gender or age, or both,

d\. Records missing state of residence

**WGT4:** This weight is based on the same exclusions as WGT3 except
that records classified as the earlier of two files are included (NOT
DELETED) for purposes of weighting determination. When using these
weights the assumption would be that the file is to be analyzed as a
stand-alone file without other NLMS files in the analyses. This weight
is derived ignoring the condition that the record is missing a value for
race.

**Records having 0 WGT4 weight(records not for use in analyses):**

> a\. Records failing edit, i.e. IND201 = 0 or 1,

b\. Records missing either gender or age, or both,

c\. Records missing state of residence

The next section defines six "smoking" variables that have been defined
for use in the full NLMS. Four are used in the SEER-NLMS analytical
file, SEER200409.

78. []{#SMOK100 .anchor}Smoked 100 Or More Cigarettes in Life SMOK100

Description:

Response to question: Has (this person) smoked at least 100 cigarettes
in his/her lifetime?

POSSIBLE RESPONSES:

1 = YES

2 = NO

SMOK100\\counts: 9203 9303 9503 9603

19,714 28,290 44,835 28,574

1 11,129 15,981 13,211 16,303

2 12,707 18,628 17,439 20,678

Total 43,550 62,899 75,485 65,555

79. []{#AGESMK .anchor}Age Started Smoking AGESMK

Description:

Response to question: How old was (this person) when he /she first
started smoking cigarettes fairly regularly?

POSSIBLE RESPONSES:

-9 = NO RESPONSE

-5 = NEVER SMOKED REGULARLY

-4 = REFUSED TO ANSWER

-2 = RESPONDENT DOESN'T KNOW

-1 = NOT IN THE UNIVERSE

0 - 99 = VALID AGE RESPONSE

AGESMK\\counts: 9203 9303 9503 9603

19,714 28,290 44,835 28,574

-1 12,708 18,628 17,439 20,678

-2 406 535 588 593

-3 none none 27 44

-5 303 432 359 430

-9 49 87 6 15

01 none 1 none 1

02 none 1 none 1

03 2 4 2 1

04 5 8 4 1

05 23 31 8 8

06 19 26 16 13

07 25 45 20 28

08 33 68 53 56

09 48 69 50 83

10 95 132 105 133

11 74 109 90 117

12 291 456 343 437

13 347 556 479 617

14 609 922 731 966

15 1,014 1,540 1,264 1,612

16 1,511 2,186 1,839 2,304

17 1,053 1,493 1,253 1,555

18 1,758 2,390 1,962 2,430

19 691 919 849 989

20 958 1,338 1,082 1,324

21 456 721 548 650

22 286 434 298 377

23 151 219 155 218

24 112 141 110 147

25 275 389 332 395

26 60 85 64 70

27 29 71 65 72

28 50 91 69 82

29 17 30 24 34

30 121 173 158 206

31 8 17 16 19

32 46 28 32 23

33 10 19 14 18

34 2 11 7 18

35 51 66 55 77

36 13 10 12 9

37 5 9 7 9

38 11 10 12 20

39 11 3 4 5

40 46 37 33 35

41 1 5 1 3

42 6 12 5 9

43 3 2 4 5

44 3 3 1 4

45 11 18 15 9

46 1 1 none none

47 1 1 2 3

48 2 2 3 1

49 1 1 2 2

50 8 8 17 6

51 none 2 2 1

52 2 2 3 none

53 1 none none 1

54 none 1 none 1

55 4 1 2 2

57 none 1 none 4

58 1 none none none

59 2 none 1 1

60 3 2 2 5

62 none none none 1

64 1 1 none 1

65 1 1 3 none

66 none 1 none none

69 none 1 1 none

70 none 2 2 none

72 1 none none none

75 none none none 1

78 none 1 none none

80 none none none 1

86 1 none none none

Total 43,550 62,899 75,485 65,555

80. []{#SMOKER .anchor}Smoke Daily, Some, Never SMOKER

Description:

Response to question: Does (this person) smoke cigarettes every day,
some days, or not all?

POSSIBLE RESPONSES:

-9 = NO RESPONSE

-3 = REFUSED TO ANSWER

-2 = RESPONDENT DOESN'T KNOW

-1 = NOT IN THE UNIVERSE

01 = SMOKES EVERY DAY

02 = SMOKES SOME DAYS

03 = DOES NOT SMOKE AT ALL

SMOKER\\counts: 9203 9303 9503 9603

19,714 28,290 44,835 28,574

-1 12,707 18,628 17,439 20,678

-2 none none 14 10

-3 none none 10 24

-9 38 44 8 20

01 4,288 6,510 5,255 6,714

02 881 1,376 1,085 1,376

03 5,922 8,051 6,839 8,159

Total 43,550 62,899 75,485 65,555

81. []{#AVNMCIGS .anchor}Average Number of Cigarettes Daily AVNMCIGS

Description:

Response to the question: On the average, how many cigarettes does (this
person) now smoke a day?

POSSIBLE RESPONSES:

-9 = NO RESPONSE

-3 = REFUSED TO ANSWER

-2 = RESPONDENT DOESN'T KNOW

-1 = NOT IN THE UNIVERSE

0-99 = VALID NUMBER OF CIGARETTES SMOKED

AVNMCIGS\\counts: 9203 9303 9503 9603

19,714 28,290 44,835 28,574

-1 20,185 29,021 26,519 31,554

-2 18 17 28 35

-3 none none 20 26

-9 34 44 7 20

01 2 7 19 16

02 25 29 23 38

03 27 42 47 51

04 41 52 40 54

05 75 110 88 130

06 61 74 57 73

07 40 52 45 66

08 48 65 56 68

09 9 14 7 13

10 513 814 629 841

11 4 11 8 6

12 66 111 82 102

13 9 27 14 16

14 9 14 4 13

15 313 509 335 474

16 10 22 10 15

17 12 19 10 15

18 35 41 29 30

19 1 1 none 1

20 1,397 2,139 1,591 2,086

21 2 none 3 4

22 3 6 3 4

23 3 4 1 4

24 8 8 7 6

25 83 162 111 114

26 none none 1 1

27 none 2 none none

28 2 3 none 2

29 none none 1 none

30 370 575 414 550

31 none 1 none none

32 none none 1 1

33 1 1 none none

34 1 none none none

35 32 48 33 26

37 1 1 none none

38 none 1 1 1

40 311 437 345 425

42 none 1 none none

43 none none none 1

45 3 10 4 14

48 none none 1 none

50 40 51 24 38

55 2 none none none

60 28 52 27 41

65 2 1 none none

70 none 2 none 1

75 none none 1 none

80 9 6 2 3

90 none 1 none 1

99 1 1 2 1

Total 43,550 62,899 75,485 65,555

82. []{#SMKFLSTR .anchor}Smoking Start Date (File) SMKFLSTR

> Description:
>
> This variable groups cigarette smokers into categories according to
> the survey for which the smoking information was collected. Except for
> the September 1985 cohort, smoking information available on NLMS
> records was not collected during the March interview as was the data
> used for the NLMS. Smoking data available was collected during other
> monthly household visits and attached to the March responses for NLMS
> purposes. These surveys are described in the codes of the SMKFLSTR
> variable below. Each SMKFLSTR value has associated with it an NLMS
> start of follow-up date which may or may not coincide with the
> standard start date for the file, in some cases the information on
> smoking is collected during a household visit prior to the date of the
> NLMS baseline survey, in other cases during a visit later than
> baseline. The correct start of follow-up date for all records in the
> smoking subset is given by the variable, SMKSTART. In the code
> description below, the word, "mis," means, month in sample in the CPS
> rotation pattern.

Codes/

1 = 9203 NLMS(mis: 1 & 2), smoking data collected in May 1993 CPS (mis:
7 & 8)

2 = 9203 NLMS(mis: 3 & 4), smoking data collected in January 1993 CPS
(mis: 5 & 6)

3 = 9303 NLMS(mis: 3 & 4), smoking data collected in January 1993 CPS
(mis: 1 & 2)

4 = 9303 NLMS(mis: 1 & 2), smoking data collected in May 1993 CPS (mis:
3 & 4)

5 = 9503 NLMS(mis: 3 & 4), smoking data collected in January 1996 CPS
(mis: 5 & 6)

6 = 9503 NLMS(mis: 1 & 2), smoking data collected in May 1996 CPS (mis:
7 & 8)

7 = 9603 NLMS(mis: 3 & 4), smoking data collected in January 1996 CPS
(mis: 1 & 2)

8 = 9603 NLMS(mis: 1 & 2), smoking data collected in May 1996 CPS (mis:
3 & 4)

9 = 8509 NLMS(mis: all), smoking data collected in September 1985 CPS
(mis: all)

SMKFLSTR\\counts: 9203 9303 9503 9603

19,714 28,290 44,835 28,574

1 11,346 none none none

2 12,490 none none none

3 none 17,947 none none

4 none 16,662 none none

5 none none 15,391 none

6 none none 15,259 none

7 none none none 18,349

8 none none none 18,632

Total 43,550 62,899 75,485 65,555

83. []{#SMKSTART .anchor}Smoking Start Date SMKSTART

Description:

This variable gives the start date for purposes of follow-up analysis of
records involving smoking data according to the grouping of records by
SMKFLSTR codes. In any analysis in which the smoking variables define
the population under study, the start date given by this variable,
SMKSTART, must be used in the analysis to properly reflect the correct
follow-up time for these records.

Start dates for SMKFLSTR:

05/26/1993, if SMKFLSTR = 1

01/27/1993, if SMKFLSTR = 2

03/23/1993, if SMKFLSTR = 3

05/26/1993, if SMKFLSTR = 4

01/24/1996, if SMKFLSTR = 5

05/29/1996, if SMKFLSTR = 6

03/26/1996, if SMKFLSTR = 7

05/29/1996, if SMKFLSTR = 8

09/21/1985, if SMKFLSTR = 9

SMKSTART\\counts: 9203 9303 9503 9603

19,714 28,290 44,835 28,574

01/24/1996 none none 15,391 none

01/27/1993 12,490 none none none

03/23/1993 none 17,947 none none

03/26/1996 none none none 18,349

05/26/1993 11,346 16,662 none none

05/29/1996 none none 15,259 18,632

Total 43,550 62,899 75,485 65,555

[]{#PSUTYPE .anchor}84. PSU Type PSUTYPE APPEND\[SE\]

Description:

Variable describes whether a CPS PSU was sampled as self-representing or
not. Self-representing PSUs are areas containing the largest population
areas. These PSUs, designated (SR) PSUs, are in sample with certainty.
The remaining areas, those not designated as self-representing, are
called non self-representing PSUs, designated (NSR) PSUs. These PSUs are
selected to sample with probability of selection proportional to the
size of the population they contain.

The values of the variable PSUTYPE are defined according to the sample
design in effect at the time of the respective survey. Each decade,
following the taking of a U.S. Census, current surveys are redesigned to
reflect the most recent U.S. population count identified by the Census.
A new design is typically implemented three to four years following the
census. Since the NLMS cohorts cover the time period from 1973 to 1998,
there are four different sampling designs represented within the various
NLMS cohorts. The cohort, 8014, from April 1980, would have PSUTYPE
values defined according to the 1970 current survey design. The cohort,
8503 has values of PSUTYPE derived from the 1980 design but the 8403
cohort has values derived from the 1970 design since the 1980 design,
based on the 1980 Census, was implemented in April of 1984.

NOT AVAILABLE for files: 8024

Codes for files: all files except 8024

1 -- self-representing (SR) PSU

> 2 -- non self-representing (NSR) PSU

blank - missing or not available for cohort

PSUTYPE\\counts: 7303 7802 7903 8008 8012

1 84,032 59,919 25,629 118,059 115,065

2 47,181 34,743 17,469 64,314 62,700

Total 131,213 94,662 43,098 182,373 177,765

PSUTYPE\\counts: 8014 8103 8203 8303 8403

1 120,285 34,577 46,682 45,945 56,930

2 64,586 27,227 34,798 35,336 23,802

Total 184,871 61,804 81,480 81,281 80,732

PSUTYPE\\counts: 8503 8509 8603 8703 8803

1 60,132 106,457 33,532 33,069 32,796

2 19,939 38,241 12,490 12,202 12,683

Total 80,071 144,698 46,022 45,271 45,479

PSUTYPE\\counts: 8903 9003 9103 9203 9303

1 29,649 31,656 35,653 31,447 45,451

2 12,276 12,629 13,384 12,103 17,448

Total 41,925 44,285 49,037 43,550 62,899

PSUTYPE\\counts: 9403 9503 9603 9703 9803

1 79,019 58,598 50,071 51,355 50,619

2 24,267 16,887 15,484 15,039 15,554

Total 103,286 75,485 65,555 66,394 66,173

[]{#RENTER .anchor}85. Residence Ownership RENTER APPEND\[SE\]

Description:

Variable defines the type of ownership of the residence.

NOT AVAILABLE for files: 8024

Codes for files: all files except 8024

0 -- missing information

> 1 -- residence is owned by householder
>
> 2 -- residence is rented by householder
>
> 3 -- residence is rented for non cash rent by householder

blank -- ownership status not available on file

RENTER\\counts: 7303 7802 7903 8008 8012

0 878 454 2,882 4,753 4,428

1 91,655 67,406 27,311 127,718 123,144

2 35,809 25,019 11,817 46,350 46,843

3 2,871 1,783 1,088 3,552 3,350

Total 131,213 94,662 43,098 182,373 177,765

RENTER\\counts: 8014 8103 8203 8303 8403

0 4,456 4,792 5,680 62 235

1 128,389 40,074 52,318 55,821 55,036

2 48,260 15,748 22,053 23,829 24,000

3 3,766 1,190 1,429 1,569 1,461

Total 184,871 61,804 81,480 81,281 80,732

RENTER\\counts: 8503 8509 8603 8703 8803

0 108 983 none none none

1 54,406 99,644 32,694 32,321 32,727

2 24,113 41,393 12,598 12,172 11,909

3 1,444 2,678 730 778 843

Total 80,071 144,698 46,022 45,271 45,479

RENTER\\counts: 8903 9003 9103 9203 9303

0 none none none none none

1 30,284 31,339 34,730 30,542 45,404

2 10,874 12,148 13,430 12,256 16,424

3 767 798 877 752 1,071

Total 41,925 44,285 49,037 43,550 62,899

RENTER\\counts: 9403 9503 9603 9703 9803

0 none none none none none

1 63,645 50,797 43,777 44,924 45,297

2 37,811 23,341 20,557 20,317 19,646

3 1,830 1,347 1,221 1,153 1,230

Total 103,286 75,485 65,555 66,394 66,173

[]{#VALIDSSN .anchor}86. Validated SSN VALIDSSN Append\[SE\]

Description:

This variable indicates whether or not the Social Security number on the
CPS or Census record has been validated against Social Security
Administration files and determined to be the correct Social Security
Number for the person.

Codes for files: All files except 8509

Codes:

Blank -- record not submitted for validation

V -- CPS SSN validated (first pass)

H -- SSN edited/assigned, confirmed in NUMIDENT match

T -- SSN edited/assigned, NUMIDENT match scored True

Q -- SSN edited/assigned, NUMIDENT match scored Questionable

F -- SSN edited/assigned, NUMIDENT match scored False

? -- SSN edited/assigned, insufficient information to match to

NUMIDENT

VALIDSSN\\counts: 7303 7802 7903 8008 8012

blank 18,647 8,993 7,958 69,595 75,916

? 4,207 3,237 2,525 none none

F 1,506 161 786 none none

H 671 1,178 460 none none

Q 15,845 2,110 6,094 none none

T 6,914 5,561 2,115 none none

V 83,423 73,422 23,160 112,778 101,849

Total 131,213 94,662 43,098 182,373 177,765

VALIDSSN\\counts: 8014 8024 8103 8203 8303

blank 63,013 7,298 9,401 12,752 13,686

? none none 3,586 4,792 4,812

F none none 673 770 814

H none none 633 911 843

Q none none 8,465 11,792 11,704

T none none 3,520 4,583 4,608

V 121,858 117,047 35,526 45,880 44,814

Total 184,871 124,345 61,804 81,480 81,281

VALIDSSN\\counts: 8403 8503 8509 8603 8703

blank 14,868 14,910 42,892 10 10

? 4,539 4,646 11,273 none none

F 907 872 3,290 none none

H 765 794 7,878 none none

Q 11,574 11,126 61,918 none none

T 4,171 3,999 17,447 none none

V 43,908 43,724 none 46,012 45,261

Total 80,732 80,071 144,698 46,022 45,271

VALIDSSN\\counts: 8803 8903 9003 9103 9203

blank 12 12 9 210 13

? none none none none none

F none none none none none

H none none none none none

Q none none none none none

T none none none none none

V 45,467 41,913 44,276 48,827 43,537

Total 45,479 41,925 44,285 49,037 43,550

VALIDSSN\\counts: 9303 9403 9503 9603 9703

blank 6,492 16,707 13,990 13,081 13,860

? 2,840 4,070 3,463 3,128 3,395

F 408 1,728 1,407 1,357 1,467

H 175 270 318 217 154

Q 6,407 15,398 16,216 14,283 15,498

T 1,886 4,159 4,476 3,628 3,834

V 44,691 60,954 35,615 29,861 28,186

Total 62,899 103,286 75,485 65,555 66,394

VALIDSSN\\counts: 9803

blank 13,719

? 3,285

F 1,387

H 57

Q 14,964

T 3,598

V 29,163

Total 66,173

**September 1985 Health and Smoking Variables**

NOTE: Variables 84 - 121, listed below, are for the September 1985
(8509) cohort ONLY.

[]{#DIABET .anchor}87. Diabetes DIABET

Description:

For persons 14+, is the response to the question, \"Does \... have
diabetes?\"

Codes/Counts: 8509

1 - Yes 3,296

2 - No 104,870

3 - Don\'t know 113

9 - Not answered 5,683

bl - Missing, children \< 13 30,736

[]{#KIDNEY .anchor}88. Chronic Kidney Disease KIDNEY

Description:

For persons 14+, is the response to the question, \"Does \... have
chronic kidney disease?\"

Codes/Counts: 8509

1 - Yes 899

2 - No 106,768

3 - Don\'t know 118

9 - Not answered 6,177

bl - Missing, children \< 13 30,736

[]{#ASTHMA .anchor}89. Asthma/Bronchitis ASTHMA

Description:

For persons 14+, is the response to the question, \"Does \... have
asthma, emphysema, tuberculosis or chronic bronchitis?\"

Codes/Counts: 8509

1 - Yes 5,604

2 - No 102,388

3 - Don\'t know 120

9, - Not answered 5,850

bl - Missing, children \< 13 30,736

[]{#HRTCND .anchor}90. Chronic Heart Condition HRTCND

Description:

For persons 14+, is the-response to the question, \"Has\...ever been
told by a doctor that he/she had a chronic heart condition such as a
heart attack, a rheumatic heart condition, high blood pressure or
hardening of the arteries?\"

Codes/Counts: 8509

1 - Yes 16,186

2 - No 91,823

3 - Don\'t know 164

9 - Not answered 5,789

bl - Missing, children \< 13 30,736

[]{#INFVAC .anchor}91. Had Influenza Vaccine INFVAC

Description:

For all persons in sample, is the response to the question, \"Has \...
had influenza vaccine in period from September 1, 1984 to August 31,
1985?\"

Codes/Counts: 8509

1 - Yes 9,399

2 - No 126,210

3 - Don\'t know 1,794

9 - Not answered 7,295

[]{#PNUVAC .anchor}92. Pneumonia Vaccine PNUVAC

Description:

For all persons in the sample, is the response to the question, \"Has
\... received pneumonia vaccine?\"

Codes/Counts: 8509

1 - Yes 5,370

2 - No 127,713

3 - Don\'t know 3,790

9 - Not answered 7,465

[]{#PNU12 .anchor}93. Pneumonia Vaccine Latest 12 Months PNU12

Description:

For all persons who responded with \"yes\" to question 73, is the
response to the question, \"Did \... receive the pneumonia vaccine
between September 1, 1984 and August 31, 1985?\"

Codes/Counts: 8509

1 - Yes 1,476

2 - No 3,492

3 - Don\'t know 110

9 - Not answered 8,117

bl- Missing, adults ages 20+ 131,503

Did not answer \"yes\" to question 73

[]{#POLVAC .anchor}94. Polio Vaccine by Mouth POLVAC

Description:

For all children and for adults ages 14-19, is the response to the
question, \"Has \... ever taken polio vaccine by mouth?\"

Codes/Counts: 8509

1 - Yes 38,005

2 - No 2,724

3 - Don\'t know 1,063

9 - Not answered 2,392

[]{#NPLVAC .anchor}95. Times Polio Vaccine by Mouth NPLVAC

Description:

For all children and for adults ages 14-19 who answered \"yes\" to
question 75, is the response to the question, \"How many times has...
taken Polio vaccine by mouth?\"

Codes/Counts: 8509

1 - One time 2,227

2 - Two times 3,671

3 - Three times 8,593

4 - Four or more times 19,134

5 - Don\'t know 4,181

9 - Not answered 199

bl- Missing, adults ages 20+ 106,693

Did not answer \"yes\" to

question 75

[]{#NPOL12 .anchor}96. Times Polio Vaccine Past 12 Months NPOL12

Description:

For all children and for adults ages 14-19 who answered \"yes\" to
question 75, is the response to the question, \"How many times has \...
taken Polio vaccine by mouth in the past 12 months?\"

Codes/Counts: 8509

1 - None 28,985

2 - one time 5,559

3 - Two times 1,307

4 - Three times 630

5 - Four or more times 142

6 - Don\'t know 1,180

9 - Not answered 202

bl- missing, adults ages 20+ 106,693

Did not answer \"yes\" to question 75

[]{#DTPSHT .anchor}97. DTP Shots DTPSHT

Description:

For all children and for adults ages 14-19, is the response to the
question, \"Has \... ever had any shots against diphtheria, tetanus and
whooping cough, that is DTP?\"

Codes/Counts: 8509

1 - Yes 39,882

2 - No 1,331

3 - Don\'t know 525

9 - Not answered 2,446

bl- missing, adults ages 20+ 100,514

[]{#NDPSHT .anchor}98. Number of DTP Shots NDPSHT

Description:

For all children and for adults ages 14-19 who answered \"yes\" to
question 78, is the response to the question, \"How many DTP shots has
\... ever had?\"

Codes/Counts: 8509

1-one shot 1,603

2-Two shots 2,461

3-Three shots 6,673

4-Four shots 10,154

5-Five or more shots 13,527

6-Don\'t know 5,286

9-Not answered 178

bl- Missing, adults ages 20+ 104,816

Did not answer \"yes\" to question 78

[]{#RME12 .anchor}99. Red Measles RME12

Description:

For all children and adults ages 14-19, is the response to the question,
\"Has \... had the Red Measles, also known as the eight day measles, in
the past 12 months?\"

Codes/Counts: 8509

1 - Yes 1,014

2 - No 40,305

3 - Don\'t know 406

9 - Not answered 2,459

bl- missing, adults ages 20+ 100,514

[]{#RMESHT .anchor}100. Red Measles Shots RMESHT

Description:

For all children and adults ages 14-19, is the response to the question,
\"Has \... ever had an injection or shot against the Red Measles?\"

Codes/Counts: 8509

1 - Yes 28,047

2 - No 9,996

3 - Don\'t know 3,682

9 - Not answered 2,459

bl- missing, adults ages 20+ 100,514

[]{#RMES12 .anchor}101. Red Measles Shots in Past 12 Months RMES12

Description:

For all children and for adults ages 14-19 who answered \"yes\" to
question 81, is the response to the question, \"Has \... had Red Measles
shots in the past 12 months?\"

Codes/Counts: 8509

1 - Yes 3,137

2 - No 24,307

3 - Don\'t know 407

9 - Not answered 196

bl- missing, adults ages 20+ 116,651

Did not answer \"yes\" to question 81

[]{#ME312 .anchor}102. Three-day Measles Past 12 Months ME312

Description:

For all children and for adults ages 14-19 is the response to the
question, \"Has \... had the Three-day Measles, also known as Rubella or
German measles, in the past 12 months?\"

Codes/Counts: 8509

1 - Yes 1,517

2 - No 39,692

3 - Don\'t know 492

9 - Not answered 2,483

bl- missing, adults ages 20+ 100,514

[]{#ME3SHT .anchor}103. Three-day Measles Shots ME3SHT

Description:

For all children and for all adults ages 14-19, is the response to the
question, \"Has \... had Three-day Measles shots?\"

Codes/Counts: 8509

1 Yes 23,271

2 No 9,630

3 Don\'t know 3,790

9 Not answered 2,493

bl- missing, adults ages 20+ 100,514

[]{#ME3S12 .anchor}104. Three-day Measles Shots Past 12 Months ME3S12

Description:

For all children and for adults ages 14-19 who answered \"yes\" to
question 84, is the response to the question, \"Has \... had Three-day
Measles shots in the past 12 months?\"

Codes/Counts: 8509

1 - Yes 3,097

2 - No 24,587

3 - Don\'t know 398

9 - Not answered 189

bl- missing, adults ages 20+ 116,427

Did not answer \"yes\" to question 84

[]{#CPX12 .anchor}105. Chicken Pox Past 12 Months CPX12

Description:

For all children and for adults ages 14-19, is the response to the
question, \"Has \... had Chicken Pox in the past 12 months, the period
from September 1, 1984 to August 31, 1985?\"

Codes/Counts: 8509

1 - Yes 2,797

2 - No 38,652

3 - Don\'t know 201

9 - Not answered 2,534

bl- missing, adults ages 20+ 100,514

[]{#MUMSHT .anchor}106. Mumps Shots MUMSHT

Description:

For all children and for adults ages 14-19, is the response to the
question, \"Has \... had an injection or shots against the Mumps?\"

Codes/Counts: 8509

1 - Yes 27,988

2 - No 10,230

3 - Don\'t know 3,450

9 - Not answered 2,516

bl- missing, adults ages 20+ 100,514

[]{#MUMS12 .anchor}107. Mumps Shot Past 12 Months MUMS12

Description:

For all children and for adults ages 14-19 who answered \"yes\" to
question 87, is the response to the question, \"Has \... had Mumps shots
in the past 12 months?\"

Codes/Counts: 8509

1 - Yes 3,071

2 - No 24,314

3 - Don\'t know 383

9 - Not answered 220

bl- missing, adults ages 20+ 116,710

[]{#AGECK0 .anchor}108. Age Check Item for Children AGECKO

Description:

For all children ages 0-13, is an indicator of one of two age groups.

Codes/Counts: 8509

1 - Ages 0 - 5 13,861

2 - Ages 6 - 13 16,875

bl- missing, ages 14+ 113,962

[]{#DAYCAR .anchor}109. Day Care DAYCAR

Description:

For all children ages 0-13, is the response to the question, \"Was \...
enrolled in a licensed day care program from September 1, 1984 to August
31, 1985?\"

Codes/Counts: 8509

1 - Yes 2,859

2 - No 10,186

3 - Don\'t know 15

9 - Not answered 801

bl- missing, ages 14+ 130,837

[]{#AGECK1 .anchor}110. Age Check Item for Adults AGECK1

Description:

For all adults ages 14+, is an indicator of persons ages 16+.

Codes/Counts: 8509

1 - Ages 16+ 108,911

2 - All other persons 35,191

bl- Missing 596

111\. []{#SMK10085 .anchor}Smoked at Least 100 Cigarettes---8509 File
SMK10085

Desc.

For all adults ages 16+, is the response to the question, \"Has \...
smoked at least 100 cigarettes in his or her entire life?\"

Codes/Counts: 8509

1 - Yes 49,644

2 - No 52,620

3 - Don\'t know 580

9 - Not answered 6,067

bl- Missing, ages 0-15 35,787

112\. Age First Smoked[]{#AGESMK85 .anchor}---8509 File AGESMK85

Description:

For all persons 16+ for whom the response to question 92 was either
\"yes\" or \"Not answered\", is the response to the question, \"What was
the age at which\... first started smoking cigarettes fairly
regularly?\"

Codes/Counts: 8509

1-83 - Ages 1-83 43,723

bl - Missing, don\'t know, 100,975

ages 0-15

[]{#SMKCAT .anchor}113. Never Smoked Regularly SMKCAT

Description:

For all persons 16+ for whom the response to question 92 was either
\"Yes\" or \"Not answered\", is the negative categorical response to,
\"Has \... smoked more than 100 cigarettes?\"

Codes/Counts: 8509

1 - Never regularly 1,620

2 - Don\'t know 4,115

9 - Not applicable 6,233

bl- Missing, not \"Yes\" or 132,730

\"Not answered\" for question 92

[]{#SMKNOW .anchor}114. Smoke Cigarettes Now SMKNOW

Description:

For all persons ages 16+ who responded with an answer of other than
\"Don\'t know\" for question 94 is the response to the question,
\"Does\...smoke cigarettes now?\"

Codes/Counts: 8509

1 - Yes 23,300

2 - No 19,522

3 - Don\'t know 27

9 - Not answered 6,242

bl- Missing, ages 0-15, 90,607

response \"Don\'t know\"

to question 94

[]{#OTHTOB .anchor}115. Smoke Other Tobacco OTHTOB

Description:

For all persons ages 16+, is the response to the question, \"Does \...
use other forms of tobacco such as snuff or chewing tobacco?\"

Codes/Counts: 8509

1 - Yes 5,055

2 - No 97,198

3 - Don\'t know 136

9 - Not answered 6,522

bl- Missing, ages 0-15 35,787

[]{#SNUFF .anchor}116. Used Snuff SNUFF

Description:

For all persons ages 16+ for whom the response to question 96 was either
\"Yes\" or \"Nor- applicable\", is the response to the question, \"What
other forms of tobacco did\... use?\" for inhaling snuff.

Codes/Counts: 8509

\- - Unknown 3,758

1 - Snuff 1,256

9 - Not answered 6,563

bl- Missing, ages 0-15, did 133,121

not respond \"Yes\" or \"Not

answered\" to question 96

[]{#CHEWTB .anchor}117. Used Chewing Tobacco CHEWTB

Description:

For all persons ages 16+ for whom the response to question 96 was either
\"Yes\" or \"Not answered\", is the response to the question, \"What
other forms of tobacco did\... use?\" for chewing tobacco.

Codes/Counts: 8509

\- - Unknown 2,929

1 - Chewing Tobacco 2,085

9 - Not answered 6,563

bl- Missing, ages 0-15, did 133,121

not respond \"Yes\" or \"Not

answered\" to question 96

[]{#CIGARS .anchor}118. Smoked Cigars CIGARS

Description:

For all persons ages 16+ for whom the response to question 96 was either
\"Yes\" or \"Not answered\", is the response to the question, \"What
other forms of tobacco did\... use?\" for smoking cigars.

Codes/Counts: 8509

\- - Unknown 4,038

1 - Cigars 976

9 - Not answered 6,563

bl- Missing, ages 0-15, did 133,121

not respond \"Yes\" or \"Not

answered\" to question 96

[]{#PIPETB .anchor}119. Smoked Pipe Tobacco PIPETB

Description:

For all persons ages 16+ for whom the response to question 96 was either
\"Yes\" or \"Not answered\", is the response to the question, \"What
other forms of tobacco did\... use?\" for pipe tobacco.

Codes/Counts: 8509

\- - Unknown 3,903

1 - Smoked pipe tobacco 1,111

9 - Not answered 6,563

bl- Missing, ages 0-15, did 133,121

not respond \"Yes\" or \"Not answered\"

to question 96

[]{#OTHFRM .anchor}120. Other Form of Tobacco OTHFRM

Description:

For all persons ages 16+ for whom the response to question 96 was either
\"Yes\" or \"Not answered\", is the response to the question, \"What
other forms of tobacco did\... use?\" for other not specified
possibilities.

Codes/Counts: 8509

\- - Unknown 4,993

1 - Other form of tobacco 21

9 - Not answered 6,563

bl- Missing, ages 0-15, did 133,121

not respond \"Yes\" or \"Not

answered\" to question 96

[]{#INTVCK .anchor}121. Interviewer Check Item INTVCK

Description:

For all persons, is the response to the interviewer\'s assessment about
who is giving the information.

Codes/Counts: 8509

1 - Him/herself 56,882

2 - All other persons 50,137

9 - Not answered, children 37,083

bl- Missing, unknown 596

[]{#AGECK2 .anchor}122. Age Check for Persons 0-19 AGECK2

Description:

At completion of interview interviewer is asked to assess whether any
persons are ages 0-19. This variable summarizes that information.

Codes/Counts: 8509

1 - Person in household ages 0-19 88,738

2 - All other persons 35,364

bl- Missing 596

[]{#IMMREC .anchor}123. Check Immunization Record IMMREC

Description:

For persons 0-19 in the household, is the response to the question,
\"Did\... refer to an immunization record, for example a private
physicians record, health department record\... to answer any of the
immunization questions for children 0-19 years of age?\"

Codes/Counts: 8509

1 - Yes 20,942

2 - No 62,049

9 - Not answered 5,747

bl- Missing, persons ages 20+ 55,960

with no persons ages 0-19 in household

[]{#SUPRES .anchor}124. Responding to Supplement Items SUPRES

Description:

For all persons in households with persons ages 0-19, interviewer is
asked to identify who answered to questions on immunization and smoking.

Codes/Count: 8509

1 - Parent 75,318

2 - Self 1,864

3 - Other relative 4,797

4 - Nonrelative 451

9 - Not answered 6,308

bl- Missing, persons ages 20+ 55,960

with no person ages 0-19

in the household

> []{#Attachment_A .anchor}**Attachment A**

**Ethnic Origin for 7802, 7903, 8103, 8203, 8303, 8403, 8503, 8509,
8603, and 8703 Files**

**Description** **Values**

NC, NIU 00

German 01

Italian 02

Irish 03

French 04

Polish 05

Russian 06

English 07

Scottish 08

Welsh 09

Mexican-American 10

Chicano 11

Mexican 12

Mexicano 13

Puerto Rican 14

Cuban 15

Central or South American 16

Other Spanish 17

Negro 20

Black 21

Another group not listed 30

Don\'t Know 39

Unknown 40

**Ethnic Origin 7303 File**

**Description Original Values**

German 01 01

Italian 02 02

Irish 03 03

French 04 04

Polish 05 05

Russian 06 06

English, Scot, Welsh 07 07

Mexicano, Chicano 08 13

Puerto Rican 09 14

Cuban 10 15

Central or South American 11 16

Other Spanish 12 17

Negro 13 20

Other 14 30

Don\'t Know 15 39

N/A 16 00

**Ethnic Origin Codes for 8803, 8903, 9003, 9103, 9203, 9303, 9403,
9503, 9603, 9703 and 9803 Files**

01 = German

02 = Italian

03 = Irish

04 = French

05 = Polish

06 = Russian

07 = English

08 = Scottish

10 = Mexican American

11 = Chicano

12 = Mexican

14 = Puerto Rico

15 = Cuban

16 = Central or South American

17 = Other Hispanic

20 = Afro-American (Black Negro)

26 = Dutch

27 = Swedish

28 = Hungarian

30 = other group

38 = assigned NA

39 = don't know

**Attachment B**

**STATE CODES**

**New-England Division** **East South Central Division**

Maine 11 Kentucky 61

New Hampshire 12 Tennessee 62

Vermont 13 Alabama 63

Massachusetts 14 Mississippi 64

Rhode Island 15

Connecticut 16

**Middle Atlantic Division** **West South Central Division**

New York 21 Arkansas 71

New Jersey 22 Louisiana 72

Pennsylvania 23 Oklahoma 73

Texas 74

**East North Central Division** **Mountain Division**

Ohio 31 Montana 81

Indiana 32 Idaho 82

Illinois 33 Wyoming 83

Michigan 34 Colorado 84

Wisconsin 35 New Mexico 85

Arizona 86

Utah 87

Nevada 88

**West North Central Division** **Pacific Division**

Minnesota 41 Washington 91

Iowa 42 Oregon 92

Missouri 43 California 93

North Dakota 44 Alaska 94

South Dakota 45 Hawaii 95

Nebraska 46

Kansas 47

**South Atlantic Division**

Delaware 51

Maryland 52

District of Columbia 53

Virginia 54

West Virginia 55

North Carolina 56

South Carolina 57

Georgia 58

Florida 59

> **Attachment C - Page 1**
>
> **1970 SMSA Rank**

Codes for files: 7303, 7802, 8014, 8008, 8012

+--------------------+---+------------------+---+---------------------+---+
| Not an SMSA        | 0 |                  |   |                     |   |
|                    | 0 |                  |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| New York, NY       | 0 | Portland, OR-WA  | 3 | Wilmington,         | 6 |
|                    | 1 |                  | 4 | DL-NJ-MD            | 7 |
+--------------------+---+------------------+---+---------------------+---+
| Los Angeles-       | 0 | Phoenix, AZ      | 3 | Flint, MI           | 6 |
|                    | 2 |                  | 5 |                     | 8 |
| Long Beach, CA     |   |                  |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Chicago, IL        | 0 | Columbus, OH     | 3 | Tulsa, OK           | 6 |
|                    | 3 |                  | 6 |                     | 9 |
+--------------------+---+------------------+---+---------------------+---+
| Philadelphia, PA   | 0 | Provi            | 3 | Orlando, FL         | 7 |
|                    | 4 | dence-Pawtucket- | 7 |                     | 0 |
|                    |   |                  |   |                     |   |
|                    |   | Warwick, RI-MA   |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Detroit, MI        | 0 | Rochester, NY    | 3 | Fresno, CA          | 7 |
|                    | 5 |                  | 8 |                     | 1 |
+--------------------+---+------------------+---+---------------------+---+
| San                | 0 | San Antonio, TX  | 3 | Tacoma, WA          | 7 |
| Francisco-Oakland, | 6 |                  | 9 |                     | 2 |
| CA                 |   |                  |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Washington,        | 0 | Dayton, OH       | 4 | Harrisburg, PA      | 7 |
| DC-MD-VA           | 7 |                  | 0 |                     | 3 |
+--------------------+---+------------------+---+---------------------+---+
| Boston, MA         | 0 | Louisville,      | 4 | Charlotte, NC       | 7 |
|                    | 8 | KY-ID            | 1 |                     | 4 |
+--------------------+---+------------------+---+---------------------+---+
| Nassau-Suffolk, NY | 0 | Sacramento, CA   | 4 | Knoxville, TN       | 7 |
|                    | 9 |                  | 2 |                     | 5 |
+--------------------+---+------------------+---+---------------------+---+
| Pittsburgh, PA     | 1 | Memphis,         | 4 | Wichita, KS         | 7 |
|                    | 0 | TN-AR-MS         | 3 |                     | 6 |
+--------------------+---+------------------+---+---------------------+---+
| St. Louis, MO-IL   | 1 | Ft. Worth, TX    | 4 | Bridgeport, CE      | 7 |
|                    | 1 |                  | 4 |                     | 7 |
+--------------------+---+------------------+---+---------------------+---+
| Baltimore, MD      | 1 | Birmingham, AL   | 4 | Lansing, MI         | 7 |
|                    | 2 |                  | 5 |                     | 8 |
+--------------------+---+------------------+---+---------------------+---+
| Cleveland, OH      | 1 | Alb              | 4 | Mobile, AL          | 7 |
|                    | 3 | any-Schenectady- | 6 |                     | 9 |
|                    |   |                  |   |                     |   |
|                    |   | Troy, NY         |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Houston, TX        | 1 | Toledo, OH-MI    | 4 | Oxnard-Ventura, CA  | 8 |
|                    | 4 |                  | 7 |                     | 0 |
+--------------------+---+------------------+---+---------------------+---+
| Newark, NJ         | 1 | Nor              | 4 | Canton, OH          | 8 |
|                    | 5 | folk-Portsmouth, | 8 |                     | 1 |
|                    |   | VA               |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Minneapolis-St.    | 1 | Akron, OH        | 4 | Davenport-          | 8 |
| Paul, MN           | 6 |                  | 9 |                     | 2 |
|                    |   |                  |   | Rock Island-Moline, |   |
|                    |   |                  |   | IA-IL               |   |
+--------------------+---+------------------+---+---------------------+---+
| Dallas, TX         | 1 | Hartford, CT     | 5 | El Paso, TX         | 8 |
|                    | 7 |                  | 0 |                     | 3 |
+--------------------+---+------------------+---+---------------------+---+
| Seattle-Everett,   | 1 | Oklahoma City,   | 5 | New Haven, CT       | 8 |
| WA                 | 8 | OK               | 1 |                     | 4 |
+--------------------+---+------------------+---+---------------------+---+
| Anaheim-Santa Ana- | 1 | Syracuse, NY     | 5 | Tucson, AZ          | 8 |
|                    | 9 |                  | 2 |                     | 5 |
| Garden Grove, CA   |   |                  |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Milwaukee, WI      | 2 | G                | 5 | West Palm Beach, FL | 8 |
|                    | 0 | ary-Hammond-East | 3 |                     | 6 |
|                    |   |                  |   |                     |   |
|                    |   | Chicago, IN      |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Atlanta, GA        | 2 | Honolulu, HI     | 5 | Worchester, MA      | 8 |
|                    | 1 |                  | 4 |                     | 7 |
+--------------------+---+------------------+---+---------------------+---+
| Cincinnati, OH     | 2 | Ft. Lauderdale-  | 5 | Wil                 | 8 |
|                    | 2 |                  | 5 | kes-Barre-Hazelton, | 8 |
|                    |   | Hollywood, FL    |   | PA                  |   |
+--------------------+---+------------------+---+---------------------+---+
| Paterson-Clifton-  | 2 | Jersey City, NJ  | 5 | Peoria, IL          | 8 |
|                    | 3 |                  | 6 |                     | 9 |
| Passaic, NJ        |   |                  |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| San Diego, CA      | 2 | Gre              | 5 | Utica-Rome, NY      | 9 |
|                    | 4 | ensboro-Winston- | 7 |                     | 0 |
|                    |   |                  |   |                     |   |
|                    |   | Salem-High       |   |                     |   |
|                    |   | Point, NC        |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Buffalo, NY        | 2 | Salt Lake City,  | 5 | York, PA            | 9 |
|                    | 5 | UT               | 8 |                     | 1 |
+--------------------+---+------------------+---+---------------------+---+
| Miami, FL          | 2 | Alle             | 5 | Bakersfield, CA     | 9 |
|                    | 6 | ntown-Bethlehem- | 9 |                     | 2 |
|                    |   |                  |   |                     |   |
|                    |   | Easton, PA-NJ    |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Kansas City, MO-KS | 2 | Omaha, NE-IA     | 6 | Little Rock-        | 9 |
|                    | 7 |                  | 0 |                     | 3 |
|                    |   |                  |   | North Little Rock,  |   |
|                    |   |                  |   | AK                  |   |
+--------------------+---+------------------+---+---------------------+---+
| Denver, CO         | 2 | Nashville, TN    | 6 | Columbia, SC        | 9 |
|                    | 8 |                  | 1 |                     | 4 |
+--------------------+---+------------------+---+---------------------+---+
| San Bernardino-    | 2 | Grand Rapids, MI | 6 | Lancaster, PA       | 9 |
|                    | 9 |                  | 2 |                     | 5 |
| Riverside-Ontario  |   |                  |   |                     |   |
| CA                 |   |                  |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| Indianapolis, IN   | 3 | Yo               | 6 | Beaumont-Port       | 9 |
|                    | 0 | ungstown-Warren, | 3 | Arthur -            | 6 |
|                    |   | OH               |   |                     |   |
|                    |   |                  |   | Orange, TX          |   |
+--------------------+---+------------------+---+---------------------+---+
| San Jose, CA       | 3 | Sprin            | 6 | Albuquerque, NM     | 9 |
|                    | 1 | gfield-Chicopee- | 4 |                     | 7 |
|                    |   |                  |   |                     |   |
|                    |   | Holyoke, MA      |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+
| New Orleans, LA    | 3 | Jacksonville, FL | 6 | Chattanooga, TN-GA  | 9 |
|                    | 2 |                  | 5 |                     | 8 |
+--------------------+---+------------------+---+---------------------+---+
| Tampa-St.          | 3 | Richmond, VA     | 6 | All Smaller SMSA\'s | 9 |
| Petersburg, FL     | 3 |                  | 6 |                     | 9 |
+--------------------+---+------------------+---+---------------------+---+
|                    |   |                  |   |                     |   |
+--------------------+---+------------------+---+---------------------+---+

> **Attachment C - Page 2**
>
> **1973 SMSA Rank**

######### Codes for files: 7903, 8024, 8103, 8203, 8303, 8403, 8503

+-------------------+---+------------------+---+---------------------+---+
| Not an SMSA       | 0 |                  |   |                     |   |
|                   | 0 |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| New York, NY      | 0 | Portland, OR-WA  | 3 | Wilmington,         | 6 |
|                   | 1 |                  | 3 | DL-NJ-MD            | 6 |
+-------------------+---+------------------+---+---------------------+---+
| Los Angeles-      | 0 | Phoenix, AZ      | 3 | Flint, MI           | 6 |
|                   | 2 |                  | 4 |                     | 7 |
| Long Beach, CA    |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Chicago, IL       | 0 | Columbus, OH     | 3 | Tulsa, OK           | 6 |
|                   | 3 |                  | 5 |                     | 8 |
+-------------------+---+------------------+---+---------------------+---+
| Philadelphia, PA  | 0 | Provi            | 3 | Orlando, FL         | 6 |
|                   | 4 | dence-Pawtucket- | 6 |                     | 9 |
|                   |   |                  |   |                     |   |
|                   |   | Warwick, RI-MA   |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Detroit, MI       | 0 | Rochester, NY    | 3 | Fresno, CA          | 7 |
|                   | 5 |                  | 7 |                     | 0 |
+-------------------+---+------------------+---+---------------------+---+
| San               | 0 | San Antonio, TX  | 3 | Tacoma, WA          | 7 |
| F                 | 6 |                  | 8 |                     | 1 |
| rancisco-Oakland, |   |                  |   |                     |   |
| CA                |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Washington,       | 0 | Dayton, OH       | 3 | Harrisburg, PA      | 7 |
| DC-MD-VA          | 7 |                  | 9 |                     | 2 |
+-------------------+---+------------------+---+---------------------+---+
| Boston, MA        | 0 | Louisville,      | 4 | Charlotte, NC       | 7 |
|                   | 8 | KY-IN            | 0 |                     | 3 |
+-------------------+---+------------------+---+---------------------+---+
|                   |   | Sacramento, CA   | 4 | Knoxville, TN       | 7 |
|                   |   |                  | 1 |                     | 4 |
+-------------------+---+------------------+---+---------------------+---+
| Pittsburgh, PA    | 0 | Memphis,         | 4 | Wichita, KA         | 7 |
|                   | 9 | TN-AR-MS         | 2 |                     | 5 |
+-------------------+---+------------------+---+---------------------+---+
| St. Louis, MO-IL  | 1 | Ft. Worth, TX    | 4 | Bridgeport, CT      | 7 |
|                   | 0 |                  | 3 |                     | 6 |
+-------------------+---+------------------+---+---------------------+---+
| Baltimore, MD     | 1 | Birmingham, AL   | 4 | Lansing, MI         | 7 |
|                   | 1 |                  | 4 |                     | 7 |
+-------------------+---+------------------+---+---------------------+---+
| Cleveland, OH     | 1 | Alb              | 4 | Mobile, AL          | 7 |
|                   | 2 | any-Schenectady- | 5 |                     | 8 |
|                   |   |                  |   |                     |   |
|                   |   | Troy, NY         |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Houston, TX       | 1 | Toledo, OH-MI    | 4 | Oxnard-Ventura, CA  | 7 |
|                   | 3 |                  | 6 |                     | 9 |
+-------------------+---+------------------+---+---------------------+---+
| Newark, NJ        | 1 | Nor              | 4 | Canton, OH          | 8 |
|                   | 4 | folk-Portsmouth, | 7 |                     | 0 |
|                   |   | VA               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Minneapolis-St.   | 1 | Akron, OH        | 4 | Davenport-Rock      | 8 |
| Paul, MN          | 5 |                  | 8 | Island              | 1 |
|                   |   |                  |   |                     |   |
|                   |   |                  |   | Moline, IA-IL       |   |
+-------------------+---+------------------+---+---------------------+---+
| Dallas, TX        | 1 | Hartford, CT     | 4 | El Paso, TX         | 8 |
|                   | 6 |                  | 9 |                     | 2 |
+-------------------+---+------------------+---+---------------------+---+
| Seattle-Everett,  | 1 | Oklahoma City,   | 5 | New Haven, CT       | 8 |
| WA                | 7 | OK               | 0 |                     | 3 |
+-------------------+---+------------------+---+---------------------+---+
| Anaheim-Santa     | 1 | Syracuse, NY     | 5 | Tucson, AZ          | 8 |
| Ana-              | 8 |                  | 1 |                     | 4 |
|                   |   |                  |   |                     |   |
| Garden Grove, CA  |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Milwaukee, WI     | 1 | Gary-Hammond-    | 5 | West Palm Beach, FL | 8 |
|                   | 9 |                  | 2 |                     | 5 |
|                   |   | East Chicago, IN |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Atlanta, GA       | 2 | Honolulu, HI     | 5 | Worchester, MA      | 8 |
|                   | 0 |                  | 3 |                     | 6 |
+-------------------+---+------------------+---+---------------------+---+
| Cincinnati, OH    | 2 | Ft. Lauderdale-  | 5 | Wil                 | 8 |
|                   | 1 |                  | 4 | kes-Barre-Hazelton, | 7 |
|                   |   | Hollywood, FL    |   | PA                  |   |
+-------------------+---+------------------+---+---------------------+---+
| Paterson-Clifton- | 2 | Jersey City, NJ  | 5 | Peoria, IL          | 8 |
|                   | 2 |                  | 5 |                     | 8 |
| Passaic, NJ       |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| San Diego, CA     | 2 | Gre              | 5 | Utica-Rome, NY      | 8 |
|                   | 3 | ensboro-Winston- | 6 |                     | 9 |
|                   |   |                  |   |                     |   |
|                   |   | Salem-High       |   |                     |   |
|                   |   | Point, NC        |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Buffalo, NY       | 2 | Salt Lake City,  | 5 | York, PA            | 9 |
|                   | 4 | UT               | 7 |                     | 0 |
+-------------------+---+------------------+---+---------------------+---+
| Miami, FL         | 2 | Alle             | 5 | Bakersfield, CA     | 9 |
|                   | 5 | ntown-Bethlehem- | 8 |                     | 1 |
|                   |   |                  |   |                     |   |
|                   |   | Easton, PA-NJ    |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Kansas City,      | 2 | Omaha, NE-IA     | 5 | Little Rock-        | 9 |
| MO-KS             | 6 |                  | 9 |                     | 2 |
|                   |   |                  |   | North Little Rock,  |   |
|                   |   |                  |   | AK                  |   |
+-------------------+---+------------------+---+---------------------+---+
| Denver, CO        | 2 | Nashville, TN    | 6 | Columbia, SC        | 9 |
|                   | 7 |                  | 0 |                     | 3 |
+-------------------+---+------------------+---+---------------------+---+
| San Bernardino-   | 2 | Grand Rapids, MI | 6 | Lancaster, PA       | 9 |
|                   | 8 |                  | 1 |                     | 4 |
| R                 |   |                  |   |                     |   |
| iverside-Ontario, |   |                  |   |                     |   |
| CA                |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Indianapolis, IN  | 2 | Yo               | 6 | Beaumont-Port       | 9 |
|                   | 9 | ungstown-Warren, | 2 | Arthur -            | 5 |
|                   |   | OH               |   |                     |   |
|                   |   |                  |   | Orange, TX          |   |
+-------------------+---+------------------+---+---------------------+---+
| San Jose, CA      | 3 | Sprin            | 6 | Albuquerque, NM     | 9 |
|                   | 0 | gfield-Chicopee- | 3 |                     | 6 |
|                   |   |                  |   |                     |   |
|                   |   | Holyoke, MA      |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| New Orleans, LA   | 3 | Jacksonville, FL | 6 | Chattanooga, TN-GA  | 9 |
|                   | 1 |                  | 4 |                     | 7 |
+-------------------+---+------------------+---+---------------------+---+
| Tampa-St.         | 3 | Richmond, VA     | 6 | Trenton, NJ         | 9 |
| Petersburg, FL    | 2 |                  | 5 |                     | 8 |
+-------------------+---+------------------+---+---------------------+---+
|                   |   |                  |   | All smaller SMSA\'s | 9 |
|                   |   |                  |   |                     | 9 |
+-------------------+---+------------------+---+---------------------+---+

> **Attachment C - Page 3**
>
> **1980 SMSA Rank**

######### Codes for files: 8603, 8703

+-------------------+---+------------------+---+---------------------+---+
| Not an SMSA       | 0 |                  |   |                     |   |
|                   | 0 |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| New York, NY      | 0 | Columbus, OH     | 3 | Austin, TX          | 6 |
|                   | 1 |                  | 4 |                     | 7 |
+-------------------+---+------------------+---+---------------------+---+
| Los Angeles-      | 0 | Nor              | 3 | Gary-Hammond-East   | 6 |
|                   | 2 | folk-Portsmouth, | 5 | Chicago, IN         | 8 |
| Long Beach, CA    |   | VA               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Chicago, IL       | 0 | Sacramento, CA   | 3 | Pr                  | 6 |
|                   | 3 |                  | 6 | ovidence-Pawtucket- | 9 |
|                   |   |                  |   |                     |   |
|                   |   |                  |   | Warwick, RI-MA      |   |
+-------------------+---+------------------+---+---------------------+---+
| Philadelphia, PA  | 0 | Indianapolis, IN | 3 | Grand Rapids, MI    | 7 |
|                   | 4 |                  | 7 |                     | 0 |
+-------------------+---+------------------+---+---------------------+---+
| Detroit, MI       | 0 | San Antonio, TX  | 3 | Toledo, OH-MI       | 7 |
|                   | 5 |                  | 8 |                     | 1 |
+-------------------+---+------------------+---+---------------------+---+
| Washington,       | 0 | Ft. Worth, TX    | 3 | Raleigh-Durham, NC  | 7 |
| DC-MD-VA          | 6 |                  | 9 |                     | 2 |
+-------------------+---+------------------+---+---------------------+---+
| Houston, TX       | 0 | Portland, OR-WA  | 4 | Omaha, NE-IA        | 7 |
|                   | 7 |                  | 0 |                     | 3 |
+-------------------+---+------------------+---+---------------------+---+
| Boston, MA        | 0 | Ft. Lauderdale-  | 4 | Tucson, AZ          | 7 |
|                   | 8 |                  | 1 |                     | 4 |
|                   |   | Hollywood, FL    |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Nassau-Suffolk,   | 0 | Charlotte, NC    | 4 | Gree                | 7 |
| NY                | 9 |                  | 2 | nville-Spartanburg, | 5 |
|                   |   |                  |   | SC                  |   |
+-------------------+---+------------------+---+---------------------+---+
| St. Louis, MO-IL  | 1 | Salt Lake City,  | 4 | Knoxville, TN       | 7 |
|                   | 0 | UT               | 3 |                     | 6 |
+-------------------+---+------------------+---+---------------------+---+
| Atlanta, GA       | 1 | Rochester, NY    | 4 | Oxnard-Ventura, CA  | 7 |
|                   | 1 |                  | 4 |                     | 7 |
+-------------------+---+------------------+---+---------------------+---+
| Baltimore, MD     | 1 | Buffalo, NY      | 4 | Harrisburg, PA      | 7 |
|                   | 2 |                  | 5 |                     | 8 |
+-------------------+---+------------------+---+---------------------+---+
| Minneapolis-St.   | 1 | Louisville,      | 4 | Fresno, CA          | 7 |
| Paul, MI-WI       | 3 | KY-IN            | 6 |                     | 9 |
+-------------------+---+------------------+---+---------------------+---+
| Dallas, TX        | 1 | Oklahoma City,   | 4 | Jersey City, NJ     | 8 |
|                   | 4 | OK               | 7 |                     | 0 |
+-------------------+---+------------------+---+---------------------+---+
| Pittsburgh, PA    | 1 | Memphis, TN-AR   | 4 | Wilmington,         | 8 |
|                   | 5 |                  | 8 | DE-NJ-MD            | 1 |
+-------------------+---+------------------+---+---------------------+---+
| Anaheim-Santa     | 1 | Day              | 4 | Baton Rouge, LA     | 8 |
| Ana-              | 6 | ton-Springfield, | 9 |                     | 2 |
|                   |   | OH               |   |                     |   |
| Garden Grove, CA  |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| San Diego, CA     | 1 | Mid              | 5 | Las Vegas, NV       | 8 |
|                   | 7 | dlesex-Somerset- | 0 |                     | 3 |
|                   |   |                  |   |                     |   |
|                   |   | Hunterdon, NJ    |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Newark, NJ        | 1 | Monmouth-Ocean,  | 5 | El Paso, TX         | 8 |
|                   | 8 | NJ               | 1 |                     | 4 |
+-------------------+---+------------------+---+---------------------+---+
| Oakland, Calif.   | 1 | Birmingham, AL   | 5 | Youngstown-Warren,  | 8 |
|                   | 9 |                  | 2 | OH                  | 5 |
+-------------------+---+------------------+---+---------------------+---+
| Cleveland, OH     | 2 | Nashville, TN    | 5 | Sp                  | 8 |
|                   | 0 |                  | 3 | ringfield-Chicopee- | 6 |
|                   |   |                  |   |                     |   |
|                   |   |                  |   | Holyoke, MA         |   |
+-------------------+---+------------------+---+---------------------+---+
| Tampa-St.         | 2 | Greensbor        | 5 | Tacoma, WA          | 8 |
| Petersburg, FL    | 1 | o-Winston-Salem- | 4 |                     | 7 |
|                   |   |                  |   |                     |   |
|                   |   | High Point, NC   |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| San Bernardino-   | 2 | Albany-S         | 5 | New Haven-Meriden,  | 8 |
|                   | 2 | chenectady-Troy, | 5 | CT                  | 8 |
| Riverside-Ontario |   | NY               |   |                     |   |
| CA                |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Phoenix, AZ       | 2 | Orlando, FL      | 5 | Little Rock-        | 8 |
|                   | 3 |                  | 6 |                     | 9 |
|                   |   |                  |   | North Little Rock,  |   |
|                   |   |                  |   | AK                  |   |
+-------------------+---+------------------+---+---------------------+---+
| Miami, Hialeah,   | 2 | Honolulu, HI     | 5 | Charleston, SC      | 9 |
| FL                | 4 |                  | 7 |                     | 0 |
+-------------------+---+------------------+---+---------------------+---+
| Seattle-Everett,  | 2 | Richmond, VA     | 5 | Mobile, AL          | 9 |
| WA                | 5 |                  | 8 |                     | 1 |
+-------------------+---+------------------+---+---------------------+---+
| Denver, CO        | 2 | Jacksonville, FL | 5 | Bakersfield, CA     | 9 |
|                   | 6 |                  | 9 |                     | 2 |
+-------------------+---+------------------+---+---------------------+---+
| Kansas City,      | 2 | Hartford, CT     | 6 | Chicago (Lake       | 9 |
| MO-KS             | 7 |                  | 0 | County), IL         | 3 |
+-------------------+---+------------------+---+---------------------+---+
| Denver, CO        | 2 | Scrant           | 6 | Albuquerque, NM     | 9 |
|                   | 8 | on-Wilkes-Barre, | 1 |                     | 4 |
|                   |   | PA               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Cincinnati, OH    | 2 | Tulsa, OK        | 6 | Johnson             | 9 |
|                   | 9 |                  | 2 | City-Kingsport-     | 5 |
|                   |   |                  |   |                     |   |
|                   |   |                  |   | Bristol, TN         |   |
+-------------------+---+------------------+---+---------------------+---+
| Milwaukee, WI     | 3 | West Palm Beach, | 6 | New Haven, CT       | 9 |
|                   | 0 | FL               | 3 |                     | 6 |
+-------------------+---+------------------+---+---------------------+---+
| San Jose, CA      | 3 | Syracuse, NY     | 6 | Flint, MI           | 9 |
|                   | 1 |                  | 4 |                     | 7 |
+-------------------+---+------------------+---+---------------------+---+
| New Orleans, LA   | 3 | Akron, OH        | 6 | Columbia, SC        | 9 |
|                   | 2 |                  | 5 |                     | 8 |
+-------------------+---+------------------+---+---------------------+---+
| Bergen-Passaic,   | 3 | Alle             | 6 | All smaller SMSA\'s | 9 |
| NJ                | 3 | ntown-Bethlehem- | 6 |                     | 9 |
|                   |   |                  |   |                     |   |
|                   |   | Easton, PA-NJ    |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
|                   |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+

**Attachment C - Page 4**

**1983 MSA/CMSA Ranks**

Codes for files: 8509, 8803, 8903, 9003, 9103, 9203, 9303, 9403

+-------------------+---+------------------+---+---------------------+---+
| Not an MSA/CMSA   | 0 |                  |   |                     |   |
|                   | 0 |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| New York, NY, New | 0 | Providenc        | 3 | Youngstown-Warren,  | 6 |
| Jersey-           | 1 | e-Pawtucket-Fall | 4 | OH                  | 7 |
|                   |   | River, RI-MA     |   |                     |   |
| Long Island,      |   |                  |   |                     |   |
| NY-NJ-CT          |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Los               | 0 | Charlot          | 3 | Las Vegas, NV       | 6 |
| Angeles-Anaheim-  | 2 | te-Gastonia-Rock | 5 |                     | 8 |
|                   |   | Hill, NC-SC      |   |                     |   |
| Riverside, CA     |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Chicago-Gary-Lake | 0 | Hartford-New     | 3 | Springfield, MA     | 6 |
| County, IL IN-WI  | 3 | Bri              | 6 |                     | 9 |
|                   |   | tian-Middletown, |   |                     |   |
|                   |   | CT               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Philade           | 0 | Salt Lake        | 3 | El Paso, TX         | 7 |
| lphia-Wilmington- | 4 | City-Ogden, UT   | 7 |                     | 0 |
|                   |   |                  |   |                     |   |
| Trenton,          |   |                  |   |                     |   |
| PA-NJ-DE-MD       |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| San               | 0 | Rochester, NY    | 3 | New Haven-Meriden,  | 7 |
| F                 | 5 |                  | 8 | CT                  | 1 |
| rancisco-Oakland- |   |                  |   |                     |   |
| San Jose, CA      |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Detroit-Ann       | 0 | Oklahoma City,   | 3 | Little Rock-North   | 7 |
| Arbor, MI         | 6 | OK               | 9 | Little Rock, AK     | 2 |
+-------------------+---+------------------+---+---------------------+---+
| Bosto             | 0 | Louisville,      | 4 | Charleston, SC      | 7 |
| n-Lawrence-Salem, | 7 | KY-IN            | 0 |                     | 3 |
| MA-NH             |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Houston-Ga        | 0 | Day              | 4 | Mobile, AL          | 7 |
| lveston-Brazoria, | 8 | ton-Springfield, | 1 |                     | 4 |
| TX                |   | OH               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Washington,       | 0 | Memphis,         | 4 | Bakersfield, CA     | 7 |
| DC-MD-VA          | 9 | TN-AR-MS         | 2 |                     | 5 |
+-------------------+---+------------------+---+---------------------+---+
| Dallas-Fort       | 1 | Birmingham, AL   | 4 | Johnson             | 7 |
| Worth, TX         | 0 |                  | 3 | City                | 6 |
|                   |   |                  |   | -Kingsport-Bristol, |   |
|                   |   |                  |   | TN-VA               |   |
+-------------------+---+------------------+---+---------------------+---+
| Clevel            | 1 | Nashville, TN    | 4 | Flint, MI           | 7 |
| and-Akron-Lorain, | 1 |                  | 4 |                     | 7 |
| OH                |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Miami-Fort        | 1 | Greensboro-Wi    | 4 | Albuquerque, NM     | 7 |
| Lauderdale, FL    | 2 | nston-Salem-High | 5 |                     | 8 |
|                   |   | Point, NC        |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Pittsburgh-Beaver | 1 | Albany-S         | 4 | Wichita, KA         | 7 |
| Valley, PA        | 3 | chenectady-Troy, | 6 |                     | 9 |
|                   |   | NY               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| St. Louis, MO-IL  | 1 | Honolulu, HI     | 4 | Columbia, SC        | 8 |
|                   | 4 |                  | 7 |                     | 0 |
+-------------------+---+------------------+---+---------------------+---+
| Atlanta, GA       | 1 | Orlando, FL      | 4 | Chattanooga, TN-GA  | 8 |
|                   | 5 |                  | 8 |                     | 1 |
+-------------------+---+------------------+---+---------------------+---+
| Baltimore, MD     | 1 | Rich             | 4 | Saginaw-Bay         | 8 |
|                   | 6 | mond-Petersburg, | 9 | City-Midland, MI    | 2 |
|                   |   | VA               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Minneapolis-St.   | 1 | Jacksonville, FL | 5 | Lansing-East        | 8 |
| Paul, MI-WI       | 7 |                  | 0 | Lansing, MI         | 3 |
+-------------------+---+------------------+---+---------------------+---+
| Seattle-Tacoma,   | 1 | Scranton-Wilkes  | 5 | Worcester, MA       | 8 |
| WA                | 8 | Barre, PA        | 1 |                     | 4 |
+-------------------+---+------------------+---+---------------------+---+
| San Diego, CA     | 1 | Tulsa, OK        | 5 | Canton, OH          | 8 |
|                   | 9 |                  | 2 |                     | 5 |
+-------------------+---+------------------+---+---------------------+---+
| Tampa-St.         | 2 | West Palm        | 5 | Beaumont-Port       | 8 |
| Peter             | 0 | Beach-Boca       | 3 | Arthur, TX          | 6 |
| sburg-Clearwater, |   | Raton-Delray     |   |                     |   |
| FL                |   | Beach, FL        |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Denver-Boulder,   | 2 | Syracuse, NY     | 5 | York, PA            | 8 |
| CO                | 1 |                  | 4 |                     | 7 |
+-------------------+---+------------------+---+---------------------+---+
| Cin               | 2 | Alle             | 5 | Davenport-Rock      | 8 |
| cinnati-Hamilton, | 2 | ntown-Bethlehem, | 5 | Island- Moline,     | 8 |
| OH-KY-IN          |   | PA-NJ            |   | IA-IL               |   |
+-------------------+---+------------------+---+---------------------+---+
| Phoenix, AZ       | 2 | Austin, TX       | 5 | Stockton, CA        | 8 |
|                   | 3 |                  | 6 |                     | 9 |
+-------------------+---+------------------+---+---------------------+---+
| Milwaukee-Racine, | 2 | Grand Rapids, MI | 5 | Des Moines, IA      | 9 |
| WI                | 4 |                  | 7 |                     | 0 |
+-------------------+---+------------------+---+---------------------+---+
| Kansas City,      | 2 | Toledo, OH       | 5 | Lancaster, PA       | 9 |
| MO-KS             | 5 |                  | 8 |                     | 1 |
+-------------------+---+------------------+---+---------------------+---+
| Po                | 2 | Omaha, NE-IA     | 5 | Jackson, Ms         | 9 |
| rtland-Vancouver, | 6 |                  | 9 |                     | 2 |
| OR-WA             |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| New Orleans, LA   | 2 | Raleigh-Durham,  | 6 | Peoria, IL          | 9 |
|                   | 7 | NC               | 0 |                     | 3 |
+-------------------+---+------------------+---+---------------------+---+
| Columbus, OH      | 2 | Greenvi          | 6 | Augusta-GA-SC       | 9 |
|                   | 8 | lle-Spartanburg, | 1 |                     | 4 |
|                   |   | SC               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Norfork-Virginia  | 2 | Knoxville, TN    | 6 | Corpus Christi, TX  | 9 |
| Beach-            | 9 |                  | 2 |                     | 5 |
|                   |   |                  |   |                     |   |
| Newport News, VA  |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Buffalo-Niagara   | 3 | Tucson, AZ       | 6 | Shreveport, LA      | 9 |
| Falls, NY         | 0 |                  | 3 |                     | 6 |
+-------------------+---+------------------+---+---------------------+---+
| Sacramento, CA    | 3 | Harrisburg-L     | 6 | Fort Wayne, IN      | 9 |
|                   | 1 | ebanon-Carlisle, | 4 |                     | 7 |
|                   |   | PA               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Indianapolis, IN  | 3 | Fresno, CA       | 6 | Spokane, WA         | 9 |
|                   | 2 |                  | 5 |                     | 8 |
+-------------------+---+------------------+---+---------------------+---+
| San Antonio, TX   | 3 | Baton Rouge, LA  | 6 | All smaller         | 9 |
|                   | 3 |                  | 6 | MSA/CMSA            | 9 |
+-------------------+---+------------------+---+---------------------+---+

**Attachment C - Page 5**

**1993 MSA/CMSA Ranks**

Codes for files: 9503, 9603, 9703, 9803

+-------------------+---+------------------+---+---------------------+---+
| Not an MSA/CMSA   | 0 |                  |   |                     |   |
|                   | 0 |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| New York, NY, New | 0 | Charlot          | 3 | Harrisbur           | 6 |
| Jersey-           | 1 | te-Gastonia-Rock | 4 | g-Lebanon-Carlisle, | 7 |
|                   |   | Hill, NC-SC      |   | PA                  |   |
| Long Island,      |   |                  |   |                     |   |
| NY-NJ-CT          |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Los               | 0 | Hartford-New     | 3 | Springfield, MA     | 6 |
| Angeles-Anaheim-  | 2 | Bri              | 5 |                     | 8 |
|                   |   | tian-Middletown, |   |                     |   |
| Riverside, CA     |   | CT               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Chicago-Gary,     | 0 | Providence-Fall  | 3 | Knoxville, TN       | 6 |
| IL-IN             | 3 | River, Warwick,  | 6 |                     | 9 |
|                   |   | RI-MA            |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Wa                | 0 | Salt Lake        | 3 | Bakersfield, CA     | 7 |
| shingtonBaltimore | 4 | City-Ogden, UT   | 7 |                     | 0 |
|                   |   |                  |   |                     |   |
| Hagerstown        |   |                  |   |                     |   |
| DC-MD-VA-WV       |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| San               | 0 | Rochester, NY    | 3 | Little Rock-North   | 7 |
| Fran              | 5 |                  | 8 | Little Rock, AR     | 1 |
| cisco-Oakland-San |   |                  |   |                     |   |
| Jose, CA          |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Philade           | 0 | Greensbor        | 3 | Charleston-North    | 7 |
| lphia-Wilmington- | 6 | o-Winston-Salem- | 9 | Charleston, SC      | 2 |
|                   |   |                  |   |                     |   |
| Trenton,          |   | High Point, NC   |   |                     |   |
| PA-NJ-DE-MD       |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| B                 | 0 | Memphis,         | 4 | Sarasota-Bradenton, | 7 |
| oston-Manchester, | 7 | TN-AR-MS         | 0 | FL                  | 3 |
| MA-NH-ME          |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Detroit-Ann       | 0 | Nashville, TN    | 4 | Wichita, KS         | 7 |
| Arbor-Flint, MI   | 8 |                  | 1 |                     | 4 |
+-------------------+---+------------------+---+---------------------+---+
| Dallas-Fort       | 0 | Oklahoma City,   | 4 | Stockton-Lodi, CA   | 7 |
| Worth, TX         | 9 | OK               | 2 |                     | 5 |
+-------------------+---+------------------+---+---------------------+---+
| Houston-Ga        | 1 | Day              | 4 | Mobile, AL          | 7 |
| lveston-Brazoria, | 0 | ton-Springfield, | 3 |                     | 6 |
| TX                |   | OH               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Miami-Fort        | 1 | Louisville,      | 4 | Baton Rouge, LA     | 7 |
| Lauderdale, FL    | 1 | KY-IN            | 4 |                     | 7 |
+-------------------+---+------------------+---+---------------------+---+
| Seattle-Tacoma,   | 1 | Grand Rapids, MI | 4 | Fort Wayne, IN      | 7 |
| Bremerton, WA     | 2 |                  | 5 |                     | 8 |
+-------------------+---+------------------+---+---------------------+---+
| Atlanta, GA       | 1 | Jacksonville, FL | 4 | Columbia, SC        | 7 |
|                   | 3 |                  | 6 |                     | 9 |
+-------------------+---+------------------+---+---------------------+---+
| Cleveland-Akron,  | 1 | Rich             | 4 | Johnson             | 8 |
| OH                | 4 | mond-Petersburg, | 7 | City                | 0 |
|                   |   | VA               |   | -Kingsport-Bristol, |   |
|                   |   |                  |   | IN-VA               |   |
+-------------------+---+------------------+---+---------------------+---+
| Minneapolis-St.   | 1 | West Palm        | 4 | Lansing-East        | 8 |
| Paul, MI-WI       | 5 | Beach-Boca       | 8 | Lansing, MI         | 1 |
|                   |   | Raton, FL        |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| San Diego, CA     | 1 | Albany-S         | 4 | Kalamazoo-Battle    | 8 |
|                   | 6 | chenectady-Troy, | 9 | Creek, MI           | 2 |
|                   |   | NY               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| St. Louis, MO-IL  | 1 | Raleigh-Durham,  | 5 | Lancaster, PA       | 8 |
|                   | 7 | NC               | 0 |                     | 3 |
+-------------------+---+------------------+---+---------------------+---+
| Pittsburgh, PA    | 1 | Las Vegas, NV    | 5 | Lexington, KY       | 8 |
|                   | 8 |                  | 1 |                     | 4 |
+-------------------+---+------------------+---+---------------------+---+
| Phoenix, AZ       | 1 | Austin-San       | 5 | Lakeland-Winter     | 8 |
|                   | 9 | Marcos, TX       | 2 | Haven, FL           | 5 |
+-------------------+---+------------------+---+---------------------+---+
| Tampa-St.         | 2 | Birmingham, AL   | 5 | Chattanooga, TN-GA  | 8 |
| Peter             | 0 |                  | 3 |                     | 6 |
| sburg-Clearwater, |   |                  |   |                     |   |
| FL                |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Denver            | 2 | Honolulu, HI     | 5 | Daytona Beach, FL   | 8 |
| -Boulder-Greeley, | 1 |                  | 4 |                     | 7 |
| CO                |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Cin               | 2 | Greenville-Spart | 5 | Saginaw-Bay         | 8 |
| cinnati-Hamilton, | 2 | anburg-Anderson, | 5 | City-Midland, MI    | 8 |
| OH-KY-IN          |   | SC               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Po                | 2 | Fresno, CA       | 5 | Melbou              | 8 |
| rtland-Vancouver, | 3 |                  | 6 | rne-Titusville-Palm | 9 |
| OR-WA             |   |                  |   | Bay, FL             |   |
+-------------------+---+------------------+---+---------------------+---+
| Milwaukee-Racine, | 2 | Syracuse, NY     | 5 | Colorado Springs,   | 9 |
| WI                | 4 |                  | 7 | CO                  | 0 |
+-------------------+---+------------------+---+---------------------+---+
| Kansas City,      | 2 | Tulsa, OK        | 5 | Jackson, MS         | 9 |
| MO-KS             | 5 |                  | 8 |                     | 1 |
+-------------------+---+------------------+---+---------------------+---+
| Sacramento-Yolo,  | 2 | Tucson, AZ       | 5 | Augusta-Aiken,      | 9 |
| CA                | 6 |                  | 9 | GA-SC               | 2 |
+-------------------+---+------------------+---+---------------------+---+
| Norfork-Virginia  | 2 | Omaha, NE-IA     | 6 | Canton-Massillon,   | 9 |
| Beach-            | 7 |                  | 0 | OH                  | 3 |
|                   |   |                  |   |                     |   |
| Newport News,     |   |                  |   |                     |   |
| VA-NC             |   |                  |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Indianapolis, IN  | 2 | Scranton-Wilkes  | 6 | Des Moines, IA      | 9 |
|                   | 8 | Barre-Hazleton,  | 1 |                     | 4 |
|                   |   | PA               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Columbus, OH      | 2 | Toledo, OH       | 6 | McAlle              | 9 |
|                   | 9 |                  | 2 | n-Edinburg-Mission, | 5 |
|                   |   |                  |   | TX                  |   |
+-------------------+---+------------------+---+---------------------+---+
| San Antonio, TX   | 3 | Yo               | 6 | Shreveport-Bossier  | 9 |
|                   | 0 | ungstown-Warren, | 3 | City, LA            | 6 |
|                   |   | OH               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| New Orleans, LA   | 3 | Allentown-B      | 6 | Modesto, CA         | 9 |
|                   | 1 | ethlehem-Easton, | 4 |                     | 7 |
|                   |   | PA               |   |                     |   |
+-------------------+---+------------------+---+---------------------+---+
| Orlando, FL       | 3 | El Paso, TX      | 6 | Santa Barbara-Santa | 9 |
|                   | 2 |                  | 5 | Maria-Lompoc, CA    | 8 |
+-------------------+---+------------------+---+---------------------+---+
| Buffalo-Niagara   | 3 | Albuquerque, NM  | 6 | All smaller SMSA\'s | 9 |
| Falls, NY         | 3 |                  | 6 |                     | 9 |
+-------------------+---+------------------+---+---------------------+---+

**1990 INDUSTRIAL CLASSIFICATION SYSTEM**

Numbers in parentheses following the industry categories are the 1987
SIC definitions. The abbreviation \"pt\" means \"part\" and \"n.e.c.\"
means \"not elsewhere classified.\"

1990 1990

> industry industry

code Industry category code Industry category

**AGRICULTURE, FORESTRY, AND FISHERIES MANUFACTURINGC**Con.

010 Agricultural production, crops (01) **Nondurable Goods**CCon

011 Agricultural production, livestock (02) Apparel and other finished
textile products

012 Veterinary services (074) 151 Apparel and accessories,­

020 Landscape and horticultural services (078) except knit (231-238)

030 Agricultural services, n.e.c. (071, 072, 075, 076) 152 Miscellaneous
fabricated

031 Forestry (08) textile products (239)

032 Fishing, hunting, and trapping (09) Paper and allied products

160. Pulp, paper, paperboard mills (261-263)

MINING 161 Misc. paper and pulp products (267)

040 Metal mining (10) 162 Paperboard containers and boxes (265)

041 Coal mining (12) Printing, publishing, and allied industries

042 Oil and gas extraction (13) 171 Newspaper: publishing, printing
(271)

Printing, publishing

050 Nonmetallic mining and quarrying, except fuels 172 Printing,
publishing, and allied

industries, except newspaper (14) newspapers (272-279)

> Chemicals and allied products

060 **CONSTRUCTION (15, 16, 17)** 180 Plastics, synthetics, and resins
(282)

> 181 Drugs (283)
>
> 182 Soaps and cosmetics (284)

**MANUFACTURING** 190 Paints, varnishes, related products (285)

> 191 Agricultural chemicals (287)
>
> **Nondurable Goods** 192 Industrial and miscellaneous
>
> chemicals (281, 286, 289)

Food and kindred products

100 Meat products (201) Petroleum and coal products

101 Dairy products (202) 200 Petroleum refining (291)

102 Canned, frozen, preserved fruits and 201 Miscellaneous petroleum and

vegetables (203) coal products (295, 299)

110 Grain mill products (204) Rubber and miscellaneous plastic products

111 Bakery products (205) 210 Tires and inner tubes (301)

112 Sugar and confectionery products (206) 211 Other rubber products,
plastic footwear

120 Beverage industries (208) and belting (302-306)

121 Miscellaneous food preparations and kindred 212 Miscellaneous
plastics products (308)

products (207, 209) Leather and leather products

122 Not specified food industries 220 Leather tanning and finishing
(311)

130 Tobacco manufactures (21) 221 Footwear, exc rubber, plastic
(313,314)

Textile mill products

132 Knitting mills (225) 222 Leather products,

140 Dyeing, finishing textiles, exc wool knits (226) except footwear
(315-317, 319)

141 Carpets and rugs (227)

142 Yarn, thread, and fabric mills (221-224, 228) **Durable Goods**

150 Miscellaneous textile mill products (229) Lumber, wood products,
except furniture

230 Logging (241)

1990 1990

industry industry

code Industry category code Industry category

> **MANUFACTURING**CCon. **MANUFACTURING**CCon.
>
> **Durable Goods**CCon. **Durable Goods**CCon.
>
> Lumber and wood products, except Electrical machinery, equipment, and
>
> furnitureCCon. suppliesCCon.

231 Sawmills, planing mills, and 342 Electrical machinery, equipment,
and

> millwork (242, 243) supplies, n.e.c. (361, 362, 364, 367, 369)

232 Wood buildings and mobile homes (245) 350 Not specified electrical
machinery, equipment,

241 Miscellaneous wood products (244, 249) and supplies

242 Furniture and fixtures (25) Transportation equipment

> Stone, clay, glass, and concrete products 351 Motor vehicles and

250 Glass and glass products (321-323) motor vehicle equipment (371)

251 Cement, concrete, gypsum, and plaster 352 Aircraft and parts (372)

> products (324, 327) 360 Ship and boat building and repairing (373)

252 Structural clay products (325) 361 Railroad locomotives and
equipment (374)

261 Pottery and related products (326) 362 Guided missiles, space
vehicles, and

262 Miscellaneous nonmetallic mineral and stone parts (376)

> products (328, 329) Cycles and miscellaneous transportation
>
> Metal industries equipment (375, 379)

270 Blast furnaces, steelworks, rolling and Professional and
photographic equipment, and

> finishing mills (331) watches

271 Iron and steel foundries (332) 371 Scientific and controlling
instruments (381, 382

272 Primary aluminum industries (3334, part 334 exc. 3827)

> 3353-3355, 3363,3365) 372 Medical, dental, and optical instruments and

280 Other primary metal industries (3331, 3339 supplies (3827, 384, 385)

> part 334, 3351, 3356, 3357, 3364, 3366, 380 Photographic equipment and
> supplies (386)
>
> 3369, 339) 381 Watches, clocks, and clockwork operated

281 Cutlery, hand tools, and general hardware devices (387)

> \(342\) 390 Toys, amusement, and sporting goods (394)

282 Fabricated structural metal products (344) 391 Miscellaneous
manufacturing industries (39 exc.

290 Screw machine products (345) 394)

291 Metal forgings and stampings (346) 392 Not specified manufacturing
industries

292 Ordnance (348)

300 Miscellaneous fabricated metal products (341 **TRANSPORTATION,
COMMUNICATIONS**,

343 347 349) **AND OTHER PUBLIC UTILITIES**

301 Not specified metal industries

Transportation

> Machinery and computing equipment 400 Railroads (40)

310 Engines and turbines (351) 401 Bus service and urban transit (41,
except 412

311 Farm machinery and equipment(352) 402 Taxicab service (412)

312 Construction and material handling machines 410 Trucking service
(421, 423)

320 Metalworking machinery (354) 411 Warehousing and storage (422)

321 Office and accounting machines (3578-3579) 412 U.S. Postal Service
(43)

322 Computers and related equipment (3571-3577) 421 Air transportation
(44)

331 Machinery, except electrical, n.e.c. (355, 356 422 Pipe lines,
except natural gas (46)

> 358, 359) 432 Services incidental to transportation (47)

332 Not specified machinery Communications

Electrical machinery, equipment, and supplies Radio and television
broadcasting and cable

340 Household appliances (363) (483, 484)

341 Radio, TV, and communication equipment 441 Telephone communications
(481)

> (365, 366) 442 Telegraph and miscellaneous communications
>
> services (482, 489)

1990 1990

industry industry

code Industry category code Industry category

> **TRANSPORTATION, COMMUNICATIONS**
>
> **AND OTHER PUBLIC UTILITIESCCon. RETAIL TRADECCon.**
>
> Utilities and sanitary services 611 Food stores, n.e.c (542, 543, 544,
> 549

450 Electric light and power (491) 612 Motor vehicle dealers (551, 552)

451 Gas and steam supply systems (492, 496) 620 Auto and home supply
stores (553)

452 Electric and gas, and other combinations (493) 621 Gasoline service
stations (554)

470 Water supply and irrigation (494, 497) 622 Miscellaneous vehicle
dealers (555, 556, 557, 559)

471 Sanitary services (495) 623 Apparel and accessory stores,

except shoe (56, except 556) (566)

472 Not specified utilities 630 Shoe stores (566)

> 631 Furniture and home furnishings stores (571)

**WHOLESALE TRADE** 632 Household appliance stores (1572)

633 Radio, TV, and computer stores (5731, 5734)

**Durable Goods** 640 Music stores (5735, 5736)

500 Motor vehicles and equipment (501) 641 Eating and drinking places
(58)

501 Furniture and home furnishings (502) 642 Drug stores (591)

502 Lumber and construction materials (503) 650 Liquor stores (592)

510 Professional and commercial equipment and 651 Sporting goods,
bicycles, and hobby stores

supplies (504) (5941, 5945, 5946)

511 Metals and minerals, except petroleum (505) 652 Book and stationery
stores (5942, 5943)

512 Electrical goods (506) 660 Jewelry stores (5944)

521 Hardware, plumbing and heating supplies (507) 661 Gift, novelty, and
souvenir shops (5947)

530 Machinery, equipment, and supplies (508) 662 Sewing, needlework and
piece goods stores

531 Scrap and waste materials (5093) (5949)

532 Miscellaneous wholesale, durable 663 Catalog and mail order houses
(5961)

> goods (509 exc. 5093) 670 Vending machine operators (5962)
>
> **Nondurable Goods** 671 Direct selling establishments (5963)
>
> 672 Fuel dealers (598)

540 Paper and paper products (511) 681 Retail florists (5992)

541 Drugs, chemicals and allied products (512, 516) 682 Miscellaneous
retail stores (593, 5948, 5993­-5995

542 Apparel, fabrics, and notions (513) 5999)

550 Groceries and related products (514) 691 Not specified retail trade

551 Farm-product raw materials (515)

552 Petroleum products (517) **FINANCE, INSURANCE, AND REAL ESTATE**

560 Alcoholic beverages (518) 700 Banking (60 exc. 603 and 606)

561 Farm supplies (5191) 701 Savings institutions, including credit
unions (603

562 Miscellaneous wholesale, nondurable goods 606)

> (5192-5199) 702 Credit agencies, n.e.c. (61)

571 Not specified wholesale trade 710 Security, commodity brokerage, and
investment

companies (62, 67)

> **RETAIL TRADE** 711 Insurance (63, 64)
>
> 712 Real estate including real estate-insurance

580 Lumber and building material retailing (521, 523) offices (65)

581 Hardware stores (525)

582 Retail nurseries and garden stores (526) **BUSINESS AND REPAIR
SERVICES**

590 Mobile home dealers (527)

591 Department stores (531) 721 Advertising (731)

592 Variety stores (533) 722 Services to dwellings and other buildings
(734)

600 Miscellaneous general merchandise stores (539) 731 Personnel supply
services (736)

601 Grocery stores (541) 732 Computer and data processing services (737)

602 Dairy products stores (545) 740 Detective and protective services
(7381, 7382)

610 Retail bakeries (546) 741 Business services, n.e.c. (732, 733, 735,
7383­-7389)

1990 1990

industry industry

code Industry category code Industry category

**BUSINESS AND REPAIR SERVICESCCon**. **PROFESSIONAL AND RELATED**

**SERVICES -- Con.**

742 Automotive rental and leasing

without drivers (751) 861 Job training and vocational rehabilitation

750 Automobile parking and carwashes (752, 7542) services (833)

751 Automotive repair and 862 Child day care services (part 835)

related services (753, 7549) 863 Family child care homes (part 835)

752 Electrical repair shops (762, 7694) 870 Residential care facilities,
without nursing (836)

760 Miscellaneous repair services (763, 764, 7692, 871 Social services,
n.e.c. (832, 839)

> 7699\) 872 Museums, art galleries, and zoos (84)
>
> 873 Labor unions (863)
>
> **PERSONAL SERVICES** 880 Religious organizations (866)

761 Private households (88) 881 Membership organizations, n.e.c. (861,
862

762 Hotels and motels (701) 864, 865, 869)

770 Lodging places, except hotels 882 Engineering, architectural, and
surveying

and motels (702, services (871)

771 Laundry, cleaning, and 890 Accounting, auditing, and

garment services (721 exc. part 7219) bookkeeping services (872)

772 Beauty shops (723) 891 Research, development, and

780 Barber shops (724) testing services (873)

781 Funeral service and crematories (726) 892 Management and public
relations services (874)

782 Shoe repair shops (725) 893 Miscellaneous professional and

790 Dressmaking shops (part 7219) related services (899)

791 Miscellaneous personal services (722, 729)

**PUBLIC ADMINISTRATION**

**ENTERTAINMENT AND RECREATION** 900 Executive and legislative offices
(911-913)

**SERVICES** 901 General government, n.e.c. (919)

910 Justice, public order, and safety (92)

800 Theaters and motion pictures (781-783, 792) 921 Public finance,
taxation, and monetary policy

801 Video tape rental (784) (93)

802 Bowling centers (793) 922 Administration of human resources programs

810 Miscellaneous entertainment and recreation (94)

services (791, 794, 799) 930 Administration of environmental quality and

housing programs (95)

**PROFESSIONAL AND RELATED SERVICES** 931 Administration of economic
programs (96)

932 National security and international affairs (97)

812 Offices and clinics of physicians (801, 803)

820 Offices and clinics of dentists (802) **ACTIVE DUTY MILITARY**

821 Offices and clinics of chiropractors (8041)

822 Offices and clinics of optometrists (8042) 991 Armed Forces, all
forces listed below:

830 Offices and clinics of health practitioners nec 994 Army (8043,
8049)

> (8043, 8049) Air force

831 Hospitals (806) Navy

832 Nursing and personal care facilities (805) Marines

840 Health services, n.e.c. (807, 808, 809) Coast Guard

841 Legal services (81) Armed Forces, Branch not specified

842 Elementary and secondary schools (821) Military Reserves or National
Guard

850 Colleges and universities (822)

851 Vocational schools (824)

852 Libraries (823)

860. Educational services, n.e.c. (829)

**1990 OCCUPATIONAL CLASSIFICATION SYSTEM**

Numbers in parentheses following the occupation categories are the 1980
Standard Occupational Classification code equivalents. The abbreviation
\"pt\" means \"part\" and \"n.e.c.\" means \"not elsewhere classified.\"

1990 1990

Census Occupation category Census Occupation category

code code

**MANAGERIAL AND PROFESSIONAL MANAGERIAL AND PROFESSIONAL**

> **SPECIALTY OCCUPATIONS SPECIALTY** OCCUPATIONSCCon.

**Executive, Administrative, and Managerial Professional Specialty
Occupations**

**Occupations**

> Engineers, Architects, and Surveyors

003 Legislators (111) 043 Architects (161)

004 Chief executives and general administrators, Engineers

> public administration (112) 044 Aerospace (1633
>
> 045 Metallurgical and materials (1623)

005 Administrators and officials, public 046 Mining (1624)

administration (1132-1139) 047 Petroleum (1625)

006 Administrators, protective services (1131) 048 Chemical (1626)

007 Financial managers (122) 049 Nuclear (1627)

008 Personnel and labor relations managers (123) 053 Civil (1628)

009 Purchasing managers (124) 054 Agricultural (1632)

013 Managers, marketing, advertising, and public 055 Electrical and
electronic (1633, 1636)

relations (125) 056 Industrial (1634)

014 Administrators, education and related fields 057 Mechanical (1635)

\(128\) , 058 Marine and naval architects (1637)

015 Managers, medicine and health (131) 059 Engineers, n.e.c. (1639)

016 Postmasters and mail superintendents (1344) 063 Surveyors and
mapping scientists (164)

017 Managers, food serving and lodging Mathematical and Computer
Scientists

establishments (1351) . 064 Computer systems analysts and scientists

018 Managers, properties and real estate (1353) (171)

019 Funeral directors (pt 1359) 065 Operations and systems researchers
and

021 Managers, service organizations, n.e.c. (127, analysts (172)

1352, 1354, pt 1359) 066 Actuaries (1732)

022 Managers and administrators, n.e.c. (121,126, 067 Statisticians
(1733)

132-1343, 136-139) 068 Mathematical scientists, n.e.c. (1739)

Management Related Occupations Natural Scientists

023 Accountants and auditors (1412) 069 Physicists and astronomers
(1842, 1843)

024 Underwriters (1414) 073 Chemists, except biochemists (1845)

025 Other financial officers (1415, 1419) 074 Atmospheric and space
scientists (1846)

026 Management analysts (142) 075 Geologists and geodesists (1847)

027 Personnel, training, and labor relations 076 Physical scientists,
n.e.c. (1849)

specialists (143) 077 Agricultural and food scientists (1853)

028 Purchasing agents and buyers, farm 078 Biological and life
scientists (1854)

products (1443) 079 Forestry and conservation scientists (1852)

029 Buyers, wholesale and retail trade except 083 Medical scientists
(1855)

farm products (1442) Health Diagnosing Occupations

033 Purchasing agents and buyers, n.e.c. (1449) 084 Physicians (261)

034 Business and promotion agents (145) 085 Dentists (262)

035 Construction inspectors (1472) 086 Veterinarians (27)

036 Inspectors and compliance officers, except 087 Optometrists (281)

> construction (1473) 088 Podiatrists (283)

037 Management related occupations, n.e.c. (149) 089 Health diagnosing
practitioners, n.e.c. (289)

1990 1990

Census Occupation category Census Occupation category

code code

> MANAGERIAL AND PROFESSIONAL MANAGERIAL AND PROFESSIONAL

SPECIALTY OCCUPATIONSCCon. SPECIALTY OCCUPATIONS Con.

> **Professional Specialty Occupations**CCon. **Professional Specialty
> Occupations**CCon.

Teachers, Except Postsecondary

> Health Assessment and Treating 155 Teachers, prekindergarden and
> kindergarten
>
> Occupations (231)

095 Registered nurses (29) 156 Teachers, elementary school (232)

096 Pharmacists (301) 157 Teachers, secondary school (233)

097 Dietitians (302) 158 Teachers, special education (235)

> 159 Teachers, n.e c (236, 239)

Therapists 163 Counselors, educational and vocational (24)

098 Respiratory therapists (3031) Librarians, Archivists, and Curators

099 Occupational therapists (3032) 164 Librarians (251)

103 Physical therapists (3033) 165 Archivists and curators (252)

104 Speech therapists (3034) Social Scientists and Urban Planners

105 Therapists, n e.c. (3039) 166 Economists (1912)

106 Physicians\' assistants (304) 167 Psychologists (1915)

> 168 Sociologists (1916)
>
> Teachers, Postsecondary 169 Social scientists, n.e.c. (1913, 1914,
> 1919)

113 Earth, environmental, and marine science 173 Urban planners (192)

> teachers (2212) Social, Recreation, and Religious Workers

114 Biological science teachers (2213) 174 Social workers (2032)

115 Chemistry teachers (2214) 175 Recreation workers (2033)

116 Physics teachers (2215) 176 Clergy (2042)

117 Natural science teachers, n.e.c. (2216) 177 Religious workers,
n.e.c. (2049)

118 Psychology teachers (2217) Lawyers and Judges

119 Economics teachers (2218) 178 Lawyers (211)

123 History teachers (2222) 179 Judges (212)

124 Political science teachers (2223) Writers, Artists, Entertainers,
and Athletes

125 Sociology teachers (2224) 183 Authors (321)

126 Social science teachers, n.e.c. (2225) 184 Technical writers (398)

127 Engineering teachers (2226) 185 Designers (322)

128 Mathematical science teachers (2227) 186 Musicians and composers
(323)

129 Computer science teachers(2228) 187 Actors and directors(324)

133 Medical science teachers (2231) 188 Painters, sculptors,
craft-artists, and artist

134 Health specialties teachers (2232) printmakers (325)

135 Business, commerce, and marketing 189 Photographers (326)

> teachers (2233) 193 Dancers (327)

136 Agriculture and forestry teachers (2234) 194 Artists, performers,
and related workers,

137 Art, drama, and music teachers (2235) n.e.c. (328, 329)

138 Physical education teachers (2236) 195 Editors and reporters (331)

139 Education teachers (2237) 197 Public relations specialists (332)

143 English teachers (2238) 198 Announcers (333)

144 Foreign language teachers (2242) 199 Athletes (34)

145 Law teachers (2243)

> **TECHNICAL, SALES, AND ADMINISTRATIVE**

146 Social work teachers (2244) **SUPPORT OCCUPATIONS**

147 Theology teachers (2245)

148 Trade and industrial teachers (2246) **Technicians and Related
Support Occupations**

149 Home economics teachers (2247)

153 Teachers, postsecondary, n.e.c. (2249) Health Technologists and
Technicians

154 Postsecondary teachers, subject not 203 Clinical laboratory
technologists and

specified technicians (362)

1990 1990

Census Occupation category Census Occupation category

code code

**TECHNICAL, SALES, AND ADMINISTRATIVE TECHNICAL, SALES, AND
ADMINISTRATIVE**

**SUPPORT OCCUPATIONS**CCon. **SUPPORT OCCUPATIONS**CCon.

**Technicians and Related Support Sales Occupations**CCon.

**Occupations**CCon.

> Sales Workers, Retail and Personal Services

Health Technologists and TechniciansCCon. 263 Sales workers, motor
vehicles and boats

204 Dental hygienists (363) (4342, 4344)

205 Health record technologists and technicians 264 Sales workers,
apparel (4346)

> \(364\) 265 Sales workers, shoes (4351)

206 Radiologic technicians (365) 266 Sales workers, furniture and home

207 Licensed practical nurses (366) furnishings (4348)

208 Health technologists and technicians, n.e.c. 267 Sales workers;
radio, TV, hi-fi, and

> \(369\) appliances (4343, 4352)
>
> Technologists and Technicians, Except Health 268 Sales workers,
> hardware and building
>
> Engineering and Related Technologists and supplies (4353)
>
> Technicians

213 Electrical and electronic technicians (3711) 269 Sales workers,
parts (4367)

214 Industrial engineering technicians (3712) 274 Sales workers, other
commodities (4345,

> 4347, 4354, 4356, 4359,4362,4369)

215 Mechanical engineering technicians (3713) 275 Sales counter clerks
(4363)

216 Engineering technicians, n.e.c. (3719) 276 Cashiers (4364)

> 277 Street and door-to-door sales workers (4366)

217 Drafting occupations (372)

218 Surveying and mapping technicians (373) 278 News vendors (4365)

Science Technicians Sales Related Occupations

223 Biological technicians (382) 283 Demonstrators promoters and models,
sales

224 Chemical technicians (3831) (445)

225 Science technicians n.e.c. (3832 3833 384 284 Auctioneers (447)

> \(389\) 285 Sales support occupations, n.e.c. (444, 446, 449)

Technicians; Except Health, Engineering, and

> Science **Administrative Support Occupations,**

226 Airplane pilots and navigators (825) **Including Clerical**

227 Air traffic controllers (392); Supervisors, Administrative Support

228 Broadcast equipment operators (393) Occupations

229 Computer programmers (3971, 3972) 303 Supervisors, general office
(4511,4513,4514,

233 Tool programmers, numerical control (3974) 4516, 4519, 4529)

234 Legal assistants (396) 304 Supervisors, computer equipment operators

235 Technicians, n.e.c. (399) (4512)

> 305 Supervisors, financial records processing
>
> **Sales Occupations** (4521)

243 Supervisors and proprietors, sales 306 Chief communications
operators (4523)

> occupations (40) 307 Supervisors; distribution, scheduling, and
>
> Sales Representatives, Finance and Business adjusting clerks (4522,
> 4524-4528)
>
> Services Computer Equipment Operators

253 Insurance sales occupations (4122) 308 Computer operators (4612)

254 Real estate sales occupations (4123) 309 Peripheral equipment
operators (4613)

255 Securities and financial services sales Secretaries, Stenographers,
and Typists

> occupations (4124) 313 Secretaries (4622)

256 Advertising and related sales occupations 314 Stenographers (4623)

> \(4153\) 315 Typists (4624)

257 Sales occupations, other business services Information Clerks

> \(4152\) 316 Interviewers (4642)
>
> Sales Representatives, Commodities Except 317 Hotel clerks (4643)
>
> Retail 318 Transportation ticket and reservation agents

258 Sales engineers (421) (4644)

259 Sales representatives, mining, 319 Receptionists (4645)

> manufacturing, and wholesale (423, 424) 323 Information clerks, n.e.c.
> (4649)

1990 1990

Census Occupation category Census Occupation category

code code

**TECHNICAL, SALES, AND ADMINISTRATIVE TECHNICAL, SALES, AND
ADMINISTRATIVE**

**SUPPORT OCCUPATIONS**CCon. **SUPPORT OCCUPATIONS**CCon.

**Administrative Support Occupations, Administrative Support
Occupations,**

**Including Clerical**CCon. **Including Clerical**CCon.

Records Processing Occupations, Except Adjusters and InvestigatorsCCon.

Financial 376 Investigators and adjusters, except

325 Classified-ad clerks (4662) insurance (4783)

326 Correspondence clerks (4663) 377 Eligibility clerks, social welfare
(4784)

327 Order clerks (4664) 378 Bill and account collectors (4786)

328 Personnel clerks, except payroll and

> timekeeping (4692) Miscellaneous Administrative Support

329 Library clerks (4694) Occupations

335 File clerks (4696) 379 General office clerks (463)

336 Records clerks (4699) 383 Bank tellers (4791)

Financial Records Processing Occupations 384 Proofreaders (4792)

337 Bookkeepers, accounting, and auditing clerks 385 Data-entry keyers
(4793)

> \(4712\) 386 Statistical clerks (4794)

338 Payroll and timekeeping clerks (4713) 387 Teachers\' aides (4795)

339 Billing clerks (4715) 389 Administrative support occupations, n.e.c.

343 Cost and rate clerks (4716) (4787, 4799)

344 Billing, posting, and calculating machine

operators (4718) **SERVICE OCCUPATIONS**

Duplicating, Mail and Other Office Machine

Operators **Private Household Occupations**

345 Duplicating machine operators (4722) 403 Launderers and ironers
(503)

346 Mail preparing and paper handling machine 404 Cooks, private
household (504)

operators (4723) 405 Housekeepers and butlers (505)

347 Office machine operators, n.e.c. (4729) 406 Child care workers,
private household (506)

Communications Equipment Operators 407 Private household cleaners and
servants (502,

348 Telephone operators (4732) 507, 509)

353 Communications equipment operators, n.e.c.

> (4733, 4739) **Protective Service Occupations**
>
> Mail and Message Distributing Occupations Supervisors, Protective
> Service Occupations

354 Postal clerks, exc. mail carriers (4742) 413 Supervisors,
firefighting and fire prevention

355 Mail carriers, postal service (4743) occupations (5111)

356 Mail clerks, exc. postal service(4744) 414 Supervisors, police and
detectives (5112)

357 Messengers (4745) 415 Supervisors, guards (5113)

Material Recording, Scheduling, and Firefighting and Fire Prevention
Occupations

Distributing Clerks 416 Fire inspection and fire prevention

359 Dispatchers (4751) occupations (5122)

363 Production coordinators (4752) 417 Firefighting occupations (5123)

364 Traffic, shipping, and receiving clerks (4753)

365 Stock and inventory clerks (4754) Police and Detectives

366 Meter readers (4755) 418 Police and detectives, public service
(5132)

368 Weighers, measurers, checkers and 423 Sheriffs, bailiffs, and other
law enforcement

> samplers (4756, 4757) officers (5134)

373 Expediters (4758) 424 Correctional institution officers (5133)

374 Material recording, scheduling, and

distributing clerks, n.e.c. (4759) Guards

> 425 Crossing guards (5142)

Adjusters and investigators 426 Guards and police, exc. public service

375 Insurance adjusters, examiners, and (5144)

investigators (4782) 427 Protective service occupations, n.e.c. (5149)

1990 1990

Census Occupation category Census Occupation category

code code

**SERVICE OCCUPATIONS**CCon. **FARMING, FORESTRY, AND FISHING**

**Service Occupations, Except Protective and OCCUPATIONS**CCon.

> **Household**
>
> Other Agricultural and Related Occupations

Food Preparation and Service Occupations Farm Occupations, Except
Managerial

433 Supervisors, food preparation and service 477 Supervisors, farm
workers (5611)

occupations (5211) 479 Farm workers (5612-5617)

434 Bartenders (5212) 483 Marine life cultivation workers (5618)

435 Waiters and waitresses (5213) 484 Nursery workers (5619)

436 Cooks (5214, 5215) Related Agricultural Occupations

438 Food counter, fountain and related 485 Supervisors, related
agricultural

> occupations (5216) occupations (5621)

439 Kitchen workers, food preparation (5217) 486 Grounds keepers and
gardeners, except

443 Waiters\'/waitresses\' assistants (5218) farm (5622)

444 Miscellaneous food preparation occupations 487 Animal caretakers,
except farm (5624)

> \(5219\) 488 Graders and sorters, agricultural

Health Service Occupations products (5625)

445 Dental assistants (5232) 489 Inspectors, agricultural products
(5627)

446 Health aides, except nursing (5233) Forestry and Logging Occupations

447 Nursing aides, orderlies, and attendants (5236) 494 Supervisors,
forestry, and logging workers

> Cleaning and Building Service Occupations, (571)
>
> except Household 495 Forestry workers, except logging (572)

448 Supervisors, cleaning and building service 496 Timber cutting and
logging occupations (573,

> workers (5241) 579)

449 Maids and housemen (5242, 5249) Fishers, Hunters, and Trappers

453 Janitors and cleaners (5244) 497 Captains and other officers,
fishing vessels

454 Elevator operators (5245) (pt 8241)

455 Pest control occupations (5246) 498 Fishers (583)

Personal Service Occupations 499 Hunters and trappers (584)

456 Supervisors, personal service occupations

\(5251\) **PRECISION PRODUCTION, CRAFT, AND**

457 Barbers (5252) **REPAIR OCCUPATIONS**

458 Hairdressers and cosmetologists (5253)

459 Attendants, amusement and recreation Mechanics and Repairers

facilities (5254) 503 Supervisors, mechanics and repairers (60)

461 Guides (5255) Mechanics and Repairers, Except

462 Ushers (5256) Supervisors

463 Public transportation attendants (5257) Vehicle and Mobile Equipment

464 Baggage porters and bellhops (5262) Mechanics and Repairers

465 Welfare service aides (5263) 505 Automobile mechanics (pt 6111)

466 Family child care providers (pt 5264) 506 Automobile mechanic
apprentices

467 Early childhood teacher\'s assistants (pt 5264) (pt 6111)

468 Child care workers, n.e.c. (pt 5264) 507 Bus, truck, and stationary
engine

469 Personal service occupations, n.e.c. (5258, mechanics (6112)

5269\) 508 Aircraft engine mechanics (6113)

509 Small engine repairers (6114)

**FARMING, FORESTRY, AND FISHING** 514 Automobile body and related
repairers

**OCCUPATIONS** (6115)

Farm Operators and Managers 515 Aircraft mechanics, exc. engine (6116)

473 Farmers, except horticultural (5512-5514) 516 Heavy equipment
mechanics (6117)

474 Horticultural specialty farmers (5515) 517 Farm equipment mechanics
(6118)

475 Managers, farms, except horticultural (5522- 518 Industrial
machinery repairers (613)

5524\) 519 Machinery maintenance occupations

476 Managers, horticultural specialty farms (5525) (614)

1990 1990

Census Occupation category Census Occupation category

code code

> **PRECISION PRODUCTION, CRAFT, AND PRECISION PRODUCTION, CRAFT, AND**
>
> **REPAIR OCCUPATIONSCCon. REPAIR OCCUPATIONSCCon.**
>
> Mechanics and RepairersCCon. Construction TradesCCon.

Mechanics and Repairers, Except Construction Trades, Except
SupervisorsCCon.

> SupervisorsCCon. 567 Carpenters (pt 6422)
>
> Electrical and Electronic Equipment 569 Carpenter apprentices (pt
> 6422)

Repairers 573 Drywall installers (6424)

523 Electronic repairers, communications and 575 Electricians (pt 6432)

industrial equipment (6151,6153,6155) 576 Electrician apprentices (pt
6432)

525 Data processing equipment repairers 577 Electrical power installers
and repairers

\(6154\) (6433)

526 Household appliance and power tool 579 Painters, construction and
maintenance

repairers (6156) (6442)

527 Telephone line installers and repairers 583 Paperhangers (6443)

\(6157\) 584 Plasterers (6444)

529 Telephone installers and repairers (6158) 585 Plumbers, pipefitters,
and steamfitters

533 Miscellaneous electrical and electronic (pt 645)

equipment repairers (6152, 6159) 587 Plumber, pipefitter, and
steamfitter

534 Heating, air conditioning, and refrigeration apprentices (pt 645)

mechanics (616) 588 Concrete and terrazzo finishers (6463)

Miscellaneous Mechanics and Repairers 589 Glaziers (6464)

535 Camera, watch, and musical instrument 593 insulation workers (6465)

repairers (6171, 6172) 594 Paving, surfacing, and tamping equipment

536 Locksmiths and safe repairers (6173) operators (6466)

538 Office machine repairers (6174) 595 Roofers (6468)

539 Mechanical controls and valve 596 Sheet-metal duct installers (6472)

> repairers (6175) 597 Structural metal workers (6473)

543 Elevator installers and repairers (6176) 598 Drillers, earth (6474)

544 Millwrights (6178) 599 Construction trades, n.e.c. (6467, 6475,

547 Specified mechanics and repairers, n.e.c. 6476, 6479)

(6177, 6179) Extractive Occupations

549 Not specified mechanics and repairers 613 Supervisors, extractive
occupations (632)

Construction Trades 614 Drillers, oil well (652)

Supervisors, Construction Occupations 615 Explosives workers (653)

553 Supervisors; brickmason, stonemasons, 616 Mining machine operators
(654)

and tile setters (6312) 617 Mining occupations, n.e.c. (656)

554 Supervisors, carpenters and related Precision Production Occupations

workers (6313) 628 Supervisors, production occupations (67,71)

555 Supervisors, electricians and power Precision Metal Working
Occupations

transmission installers (6314) 634 Tool and die makers (pt 6811)

556 Supervisors; painters, paperhangers, and 635 Tool and die maker
apprentices

plasterers (6315) (pt 6811)

557 Supervisors; plumbers, pipefitters, and 636 Precision assemblers,
metal (6812)

> steamfitters (6316) 637 Machinists (pt 6813)

558 Supervisors, n.e.c. (6311, 6318) 639 Machinist apprentices (pt 6813)

Construction Trades, Except Supervisors 643 Boilermakers (6814)

563 Brickmasons and stonemasons (pt 6412, 644 Precision grinders,
filers, and tool

pt 6413) sharpeners (6816)

564 Brickmason and stonemason 645 Pattern makers and model makers, metal

apprentices (pt 6412, pt 6413) (6817)

565 Tile setters, hard and soft (pt 6414, 646 Lay-out workers (6821)

pt 6462) 647 Precious stones and metals workers

566 Carpet installers (pt 6462) (Jewelers) (6822, 6866)

1990 1990

Census Occupation category Census Occupation category

code code

> **PRECISION PRODUCTION, CRAFT, AND OPERATORS, FABRICATORS, AND**
>
> **REPAIR OCCUPATIONSCCon.** **LABORERS**
>
> Precision Production OccupationsCCon. **Machine Operators, Assemblers,
> and**
>
> **Inspectors**

Precision Metal Working OccupationsCCon.

649 Engravers, metal (6823)

653 Sheet metal workers (pt 6824) Machine Operators and Tenders, Except

654 Sheet metal worker apprentices (pt 6824) Precision

655 Miscellaneous precision metal workers (6829) Metalworking and
Plastic Working Machine

> Precision Woodworking Occupations Operators

656 Pattern makers and model makers, wood 703 Lathe and turning machine
set-up

> \(6831\) operators (7312)

657 Cabinet makers and bench carpenters (6832) 704 Lathe and turning
machine operators

658 Furniture and wood finishers (6835) (7512)

659 Miscellaneous precision woodworkers (6839) 705 Milling and planing
machine operators

> Precision Textile, Apparel, and Furnishings (7313, 7513)
>
> Machine Workers 706 Punching and stamping press machine

666 Dressmakers (pt 6852, pt 7752) operators (7314, 7317, 7514, 7517)

667 Tailors (pt 6852) 707 Rolling machine operators (7316, 7516)

668 Upholsterers (6853) 708 Drilling and boring machine operators (7318,

669 Shoe repairers (6854) 7518)

674 Miscellaneous precision apparel and 709 Grinding, abrading, buffing,
and polishing

> fabric workers (6856, 6859, pt 7752) machine operators (7322, 7324,
> 7522)
>
> Precision Workers, Assorted Materials 713 Forging machine operators
> (7319, 7519)

675 Hand molders and shapers, except 714 Numerical control machine
operators

> jewelers (6861) (7326)

676 Pattern makers, lay-out workers, and 715 Miscellaneous metal,
plastic, stone, and

> cutters (6862) glass working machine operators (7329,

677 Optical goods workers (6864, pt 7477, 7529)

> pt 7677) 717 Fabricating machine operators, n.e.c. (7339,

678 Dental laboratory and medical appliance (7539)

> technicians (6865)

679 Bookbinders (6844) Metal and Plastic Processing Machine

683 Electrical and electronic equipment Operators

> assemblers (6867) 719 Molding and casting machine operators

684 Miscellaneous precision workers, n.e.c. (7315, 7342, 7515, 7542)

> \(6369\) 723 Metal plating machine operators (7343,
>
> Precision Food Production Occupations 7543)

686 Butchers and meat cutters (6871) 724 Heat treating equipment
operators (7344,

687 Bakers (6872) 7544)

688 Food batchmakers (6873, 6879) 725 Miscellaneous metal and plastic

> Precision Inspectors, Testers, and Related processing machine
> operators (7349, 7549)
>
> Workers

689 Inspectors, testers, and graders (6881, Woodworking Machine
Operators

> 828\) 726 Wood lathe, routing, and planing machine

693 Adjusters and calibrators (6882) operators (7431, 7432, 7631, 7632)

> Plant and System Operators 727 Sawing machine operators (7433, 7633)

694 Water and sewage treatment plant 728 Shaping and joining machine
operators

> operators (691) (7435, 7635)

695 Power plant operators (pt 693) 729 Nailing and tacking machine
operators

696 Stationary engineers (pt 693, 7668) (7636)

699 Miscellaneous plant and system 733 Miscellaneous woodworking machine

> operators (692, 694, 695, 696) operators (7434, 7439, 7634, 7639)

1990 1990

Census Occupation category Census Occupation category

code code

> **OPERATORS, FABRICATORS, AND** **OPERATORS, FABRICATORS, AND
> LABORERSCCon. LABORERSCCon.**
>
> **Machine Operators, Assemblers, and Machine Operators, Assemblers,
> and**

**Inspectors**CCon. **Inspectors**CCon.

Machine Operators and Tenders, Except Machine Operators, and Tenders,
Except

> PrecisionCCon. PrecisionCCon.
>
> Printing Machine Operators Machine Operators, Assorted Materials\~on.

734 Printing press operators (7443, 7643) 774 Photographic process
machine operators

735 Photoengravers and lithographers (6842, (6863, 6868, 7671)

> 7444, 7644) 777 Miscellaneous machine operators, n.e.c.

736 Typesetters and compositors (6841,7642) (pt 7479, 7665, 7679)

737 Miscellaneous printing machine operators 779 Machine operators, not
specified

> (6849, 7449, 7649) Fabricators, Assemblers, and Hand Working
>
> Textile, Apparel, and Furnishings Machine Occupations
>
> Operators 783 Welders and cutters (7332, 7532, 7714)

738 Winding and twisting machine operators 784 Solderers and brazers
(7333, 7533, 7717)

> (7451, 7651) 785 Assemblers (772, 774)

739 Knitting, looping, taping, and weaving machine 786 Hand cutting and
trimming occupations

> operators (7452, 7652) (7753)

743 Textile cutting machine operators (7654) 787 Hand molding, casting,
and forming

744 Textile sewing machine operators (7655) occupations (7754, 7755)

745 Shoe machine operators (7656) 789 Hand painting, coating, and
decorating

747 Pressing machine operators (7657) occupations (7756)

748 Laundering and dry cleaning machine 793 Hand engraving and printing
occupations

> operators (6855, 7658) p757)

749 Miscellaneous textile machine operators 795 Miscellaneous hand
working occupations

> (7459, 7659) (7758, 7759)
>
> Machine Operators, Assorted Materials Production Inspectors, Testers,
> Samplers, and

753 Cementing and gluing machine operators Weighers

> \(7661\) 796 Production inspectors, checkers, and

754 Packaging and filling machine operators examiners (782, 787)

> (7462, 7662) 797 Production testers (783)

755 Extruding and forming machine operators 798 Production samplers and
weighers (784)

> (7463, 7663) 799 Graders and sorters, exc. agricultural (785)

756 Mixing and blending machine operators **Transportation and Material
Moving**

> \(7664\) **Occupations**

757 Separating, filtering, and clarifying machine

> operators (7476, 7666, 7676) Motor Vehicle Operators

758 Compressing and compacting machine 803 Supervisors, motor vehicle
operators (8111)

> operators (7467, 7667) 804 Truck drivers (8212-8214)

759 Painting and paint spraying machine 806 Driver-sales workers (8218)

> operators (7669) 808 Bus drivers (8215)

763 Roasting and baking machine operators 809 Taxicab drivers and
chauffeurs (8216)

> food (7472, 7672) 813 Parking lot attendants (874)

764 Washing, cleaning, and pickling machine 814 Motor transportation
occupations, n.e.c.(8219)

> operators (7673) Transportation Occupations, Except Motor

765 Folding machine operators (7474, 7674) Vehicles

766 Furnace, kiln, and oven operators, exc. Rail Transportation
Occupations

> food (7675) 823 Railroad conductors and yardmasters

768 Crushing and grinding machine operators (8113)

> (pt 7477, pt 7677) 824 Locomotive operating occupations (8232)

769 Slicing and cutting machine operators (7478, 825 Railroad brake,
signal, and switch

> 7678\) operators (8233)

773 Motion picture projectionists (pt 7479) 826 Rail vehicle operators,
n.e.c. (8239)

1990 1990

Census Occupation category Census Occupation category

code code

> **OPERATORS, FABRICATORS, AND OPERATORS, FABRICATORS, AND**
>
> **LABORERSCCon. LABORERSCCon.**
>
> **Transportation and Material Moving Handlers, Equipment Cleaners,
> Helpers, and**
>
> **Occupations**CCon. **Laborers**CCon.
>
> Transportation Occupations, Except Motor Helpers, Construction and
> Extractive
>
> VehiclesCCon. Occupations
>
> 866 Helpers construction trades (8641-8645,8648)
>
> Water Transportation Occupations 867 Helpers, surveyor (8646)

828 Ship captains and mates except fishing 868 Helpers, extractive
occupations (865)

> boats (pt 8241, 8242) 869 Construction laborers (871)

829 Sailors and deckhands (8243) 874 Production helpers (861, 862)

833 Marine engineers (8244) Freight, Stock, and Material Handlers

834 Bridge, lock, and lighthouse tenders 875 Garbage collectors (8722)

> \(8245\) 876 Stevedores(8723)
>
> Material Moving Equipment Operators 877 Stock handlers and baggers
> (8724)

843 Supervisors, material moving equipment 878 Machine feeders and
offbearers (8725)

> operators (812) 883 Freight, stock, material handlers, n.e.c.

844 Operating engineers (8312) (8726)

845 Longshore equipment operators (8313) 885 Garage and service station
related

848 Hoist and winch operators (8314) occupations (873)

849 Crane and tower operators (8315) 887 Vehicle washers and equipment
cleaners

853 Excavating and loading machine (875)

> operators (8316) 888 Hand packers and packagers (8761)

855 Grader, dozer, and scraper operators 889 Laborers, except
construction (8769)

\(8317\)

856 Industrial truck and tractor equipment

operators (8318)

859 Miscellaneous material moving equipment

operators (8319) **MILITARY OCCUPATIONS**

> **Handlers, Equipment Cleaners, Helpers, and** 905 All military
> occupations

**Laborers**

864 Supervisors, handlers, equipment cleaners, and

> laborers, n.e.c. (85)

865 Helpers, mechanics and repairers (863)

Number range CHAPTER

[]{#Appendix_A .anchor}**Appendix A**

Appendix A documents the modifications made during the creation of SAS
dataset analysis files from NLMS Extract Files. The SAS datasets will be
referred to as the recode (RCOD) files. A major function in creating
these SAS datasets is to standardize variables across all files in the
study. Variables that are identical on both the Extract Files and the
RCOD files are not mentioned in this appendix.

This section last updated August 1, 2005.

In general, the codes for the usable levels of the variables are the
same as documented in the reference manual. If a variable was not
standardized during the RCOD processing, the warning message,
\"\[**NOTE: Variable NOT Standardized Across Files**\]\" will be
displayed just below the variable label. In this case refer to the
reference for the file specific variable coding.

**VARIABLE DELETIONS AND ADDITIONS IN RCOD FILES**

There are four new variables, generated from extract file variables,
which have been added to the RCOD files by the recode program. These
variables are: **STATER, CAUSE3, VALID** and **LIFE**. These variables
are described in a separate paragraph at the end of the appendix. One
extract file variable was dropped from the RCOD files: **EDUCC**.

**SAS RECODES**

There are three types of modifications that may have been performed on
any variable to create the RCOD files. They are:

**Simple Edit (SE):** occurs when coded levels of the variable indicate
inability to collect an informative variable response. All such levels
are set to the appropriate SAS missing value code (blank for character
variables and "." for numerical variables). Simple edits would be made
when the original variable levels indicate such information as;
\"unknown\", \"illegible\", \"blank\", etc.

**Invalid Entry Edit (IE):** Occurs when invalid codes are found in the
variable field. Invalid codes include extraneous characters that
obviously result from data keying errors or computer garbage.

**Recoding Edit (RE)**: occurs when valid codes of variables

> are recoded so that the variable has one standardized set of entries
> across all cohorts.

When either the Simple or Invalid Entry edits are identified, only the
changes will be documented. All useful levels of the variable will
remain as described in the regular Reference Manual documentation. For
Recoding Edits a complete description, including listing of counts, will
be shown.

**EDITS TO VARIABLES**

Below are shown the edited changes made to variables in creating the
RCOD files. Interpret the symbol \"==\>\" to read \"changed to\".
Variables are numbered according to their number in the extract file
reference manual when possible. The type or types of edits applied to
the variable is noted next to the variable label.

2\. Urban/Rural URB (Recode Edit)

All cohorts recoded to the following codes.

For the 8024 cohort the following additional translation was made.

3 ==\> missing value code

Codes for all files:

> 1 - Urban
>
> 2 - Rural
>
> bl - missing value code

URB\\counts: 7303 7802 7903 8008 8012

1,032 2,624 none 5,776 4,253

1 92,406 63,952 29,789 115,662 113,175

2 37,775 28,086 13,309 60,935 60,337

Total 131,213 94,662 43,098 182,373 177,765

URB\\counts: 8014 8024 8103 8203 8303

6,446 5,355 none 1 none

1 117,674 87,343 40,500 54,092 53,532

2 60,751 31,647 21,304 27,387 27,749

Total 184,871 124,345 61,804 81,480 81,281

URB\\counts: 8403 8503 8509 8603 8703

none none none none none

1 53,601 57,617 102,153 32,541 31,721

2 27,131 22,454 42,545 13,481 13,550

Total 80,732 80,071 144,698 46,022 45,271

URB\\counts: 8803 8903 9003 9103 9203

none none none none none

1 31,821 28,513 30,533 34,385 30,158

2 13,658 13,412 13,752 14,652 13,392

Total 45,479 41,925 44,285 49,037 43,550

URB\\counts: 9303 9403 9503 9603 9703

none none none none none

1 43,438 76,406 55,372 48,314 48,939

2 19,461 26,880 20,113 17,241 17,455

Total 62,899 103,286 75,485 65,555 66,394

URB\\counts: 9803

none

1 48,881

2 17,292

Total 66,173

3\. SMSA Status SMSAST (Simple Edit)

0 ==\> missing value code

> For files: 7303, 7802, 8014, 8008, 8012, 8103, 8203

4\. Land Use LAND (Recode Entries)

Valid codes for all files:

1 -- Non-rural

2 -- Rural, Farm

3 -- Rural, Non-farm

1 ==\> 1

2, 3 ==\> 2

4, 5 ==\> 3

For files: 7303, 7802, 8014, 8008, 8012

1 ==\> 1

2, 6 ==\> 2

3,4,5,7,8,9 ==\> 3

For files: 7903, 8103, 8203, 8303, 8403

1 ==\> 1

2 ==\> 2

4 ==\> 3

For files: 8603, 8703

5\. Veteran Status VTSTAT (Simple and Invalid Entry Edits)

0 ==\> missing value code

> For files: All files

\^ ==\> missing value code

> For files: 8012

7\. Type of Living LIVTYP (Invalid Entry and Recoding Edits)

\^- ==\> missing value code

For file: 8509

> Note: The recodes for analyses files follow the code determined the
> files 7802 chronologically up through 9703.

Values of the variable recoded for files: 7303, 8803 -- 9803

Codes:

> 01 - House, apartment, flat
>
> 02 - HU in nontransient hotel, etc.
>
> 03 - HU, permanent in transient hotel, motel, etc.
>
> 04 - HU in rooming house
>
> O5 - Mobile home or trailer
>
> 06 - HU not specified above
>
> 07 - Quarters not HU in rooming or boarding house
>
> 08 - Unit not permanent in transient hotel, motel, etc.
>
> 09 - Tent or trailer site
>
> 10 - Other not HU (includes college dorms, etc.)
>
> bl - Missing value code

LIVTYP\\counts: 7303 7802 7903 8008 8012

1,032 2,624 none 5,776 4,253

01 125,642 88,134 41,364 167,810 163,962

02 96 66 39 109 95

03 85 39 29 73 70

04 123 50 29 74 87

05 3,948 3,572 1,603 8,324 9,009

06 168 29 10 68 50

07 none 23 2 35 19

08 none 6 none none 9

09 none 1 none 2 6

10 119 118 22 102 205

Total 131,213 94,662 43,098 182,373 177,765

LIVTYP\\counts: 8014 8024 8103 8203 8303

6,446 124,345 none 1 none

01 169,292 none 58,673 77,145 76,654

02 124 none 58 42 64

03 66 none 23 28 34

04 49 none 29 55 31

05 8,599 none 2,929 4,106 4,362

06 60 none 10 32 20

07 46 none 6 3 14

08 none none none 1 4

09 2 none none none 5

10 187 none 76 67 93

Total 184,871 124,345 61,804 81,480 81,281

LIVTYP\\counts: 8403 8503 8509 8603 8703

none none 1 none none

01 76,571 75,399 136,238 43,602 42,553

02 36 28 98 10 23

03 47 15 36 11 11

04 48 24 51 26 9

05 3,937 4,452 8,054 2,282 2,570

06 28 36 24 6 26

07 12 24 30 36 34

08 8 1 12 3 none

09 none none 7 none none

10 45 92 147 46 45

Total 80,732 80,071 144,698 46,022 45,271

LIVTYP\\counts: 8803 8903 9003 9103 9203

none none none none none

01 42,907 39,248 41,637 46,183 40,945

02 34 21 18 31 11

03 18 21 20 4 10

04 26 21 35 22 34

05 2,394 2,546 2,476 2,726 2,462

06 25 13 23 4 12

07 8 4 none 7 11

08 none none 1 2 4

09 1 2 1 none none

10 66 49 74 58 61

Total 45,479 41,925 44,285 49,037 43,550

LIVTYP\\counts: 9303 9403 9503 9603 9703

none none none none none

01 59,105 97,390 71,047 61,425 62,224

02 11 31 52 55 59

03 14 28 9 52 10

04 15 59 33 21 30

05 3,662 5,632 4,303 3,928 4,015

06 18 23 21 41 48

07 4 22 1 none none

08 none 9 1 none none

09 7 3 none none none

10 63 89 18 33 8

Total 62,899 103,286 75,485 65,555 66,394

LIVTYP\\counts: 9803

none

01 62,201

02 56

03 5

04 25

05 3,847

06 18

07 2

08 none

09 2

10 17

Total 66,173

8\. Relationship to Reference RELTRF

(Simple, Invalid Entry, and Recoding Edits)

0 ==\> missing value code

> For files: 7903, 8103, 8203, 8303, 8403, 8503

\- ==\> missing value code

> For files: 8014, 8008, 8012

A ==\> 9

> For files: 7903, 8014, 8008, 8012, 8103, 8203,
>
> 8303, 8403, 8503

1 ==\> 1, 2 ==\> 2, 3 ==\> 3, 4 ==\> 4, 5 ==\> 5,

7 ==\> 8, 8 ==\> 6, 9 ==\> 7, A ==\> 8, B ==\> 8,

C ==\> 9, D ==\> 9, E ==\> 9

For Files: 9503, 9603, 9703, 9803

NOT AVAILABLE for files: 8603, 8703

Values of the variable recoded for files:

> (All cohorts except 8603, 8703)

Codes:

1 -- Ref person with other relatives in household

2 -- Ref person with no other relatives in household

3 -- Husband

4 -- Wife

5 -- Own child

6 - Parent

7 -- Brother/Sister

8 -- Other relative of reference person

9 -- Non-relative of reference person

blank -- missing or unknown

RELTRF\\counts: 7903 8008 8012 8103 8203

blank 173 4,932 4,255 65 162

1 10,977 82,478 79,843 16,179 21,483

2 3,493 16,796 16,325 5,850 7,546

3 239 3,417 3,536 520 696

4 8,784 38,872 37,428 12,719 16,748

5 15,331 26,346 25,367 21,019 27,973

6 229 907 903 289 411

7 358 1,284 1,222 425 583

8 1,072 2,397 2,326 1,528 2,299

9 924 3,894 3,679 1,503 1,981

Total 41,580 181,323 174,884 60,097 79,882

RELTRF\\counts: 8303 8403 8503 8509

blank 579 150 125 none

1 21,221 21,049 20,888 39,410

2 7,343 7,398 7,594 15,133

3 777 862 975 1,859

4 16,504 16,091 15,652 30,100

5 27,567 26,839 26,394 48,898

6 349 330 456 724

7 560 548 590 1,034

8 2,205 2,223 1,988 3,665

9 2,106 2,008 2,042 3,852

Total 79,211 77,498 76,704 144,675

RELTRF\\counts: 8803 8903 9003 9103 9203

blank 40 48 68 none 7

1 16,504 15,184 16,080 17,921 16,011

2 6,554 6,141 6,496 7,108 6,533

3 651 669 785 922 848

4 12,618 11,640 11,998 13,017 11,500

5 6,552 5,850 6,198 6,913 5,839

6 235 195 206 266 233

7 316 270 323 398 327

8 657 589 628 739 648

9 1,347 1,333 1,499 1,748 1,600

Total 45,474 41,919 44,281 49,032 43,546

RELTRF\\counts: 9303 9403 9503 9603 9703

blank 54 none none none none

1 18,308 26,023 20,043 17,409 17,606

2 7,181 11,406 8,466 7,393 7,526

3 1,123 2,762 2,586 2,483 2,872

4 13,128 17,419 13,032 10,805 10,672

5 17,010 34,315 24,166 21,014 21,127

6 335 703 598 589 608

7 338 969 643 563 563

8 1,293 4,141 2,499 2,145 2,216

9 1,835 4,851 2,912 2,525 2,594

Total 60,605 102,589 74,945 64,926 65,784

RELTRF\\counts: 9803

blank none

1 17,533

2 7,571

3 3,155

4 10,324

5 21,003

6 567

7 586

8 2,107

9 2,637

Total 65,483

9\. Relationship to Head of HH RELTHD (Simple Edit)

\[NOTE: Variable NOT Standardized Across Files\]

0 ==\> missing value code

For files: 7903, 8103, 8203, 8303, 8403, 8503, 8603, 8703.

10\. Number in HH HHNUM (Simple Edit)

Single digit household sizes 10\'s digit zero-filled.

> For files: 7303, 8014, 8008, 8012

00 ==\> missing valued code

> For files: 8024, 8203

12\. Categorized income in 1980 \$ FMINC80 (Simple, Recode Edits)

-   ==\> 0, negative income level

> 9 ==\> missing value code
>
> For all files: 7303 chronologically up through 9803

13\. Exposure Factor FACTOR (Invalid Entry Edit)

1872 ==\> 1672

> For file: 8014

1800 ==\> 1600

> For file: 8024

14\. Division DIV (Simple Edit)

0 ==\> missing value code

> For files: 7303, 7802, 8014, 8024; 8008, 8012, 8203

15\. State STATE (Simple Edit)

0 ==\> missing value code

> For files: 7303, 7802, 8014, 8024, 8008, 8012, 8203

16\. SMSA Rank SMSAR (Invalid Entry Edit)

0\_ ==\> 00

> For files: 7303, 8024, 8008, 8103, 8203

17\. Migration MIGRAT (Simple & Recoding Edits)

00 ==\> missing value code, 01 ==\> 1, 02 ==\> 2, 03 ==\> 3,

04 ==\> 4, 05 ==\> 5, 06 ==\> 6, 07 ==\> 7, 08 ==\> 8, 09 ==\> 9.

> For files: 7903, 8103, 8203, 8303, 8403, 8503

00 ==\> missing value code, 01 ==\> 1,

{02, 03, 04, 05} ==\> 2, {06, 07, 08, 09} ==\> 3,

{10, 11} ==\> 4, {12, 13} ==\> 5, 14 ==\> 6, {15,16} ==\> 7,

17 ==\> 8, 18 ==\> 9.

For files: 8603, 8703

00 ==\> missing value code, 01 ==\> 1,

{02, 03, 04, 05, 06} ==\> 2, {07, 08, 09, 10} ==\> 3,

{11, 12} ==\> 4, {13, 14} ==\> 5, 15 ==\> 6, {16,17} ==\> 7,

18 ==\> 8, 19 ==\> 9.

For files: 8803 chronologically up through 9803

Codes for all files:

1 - Nonmovers

2 - Moved within an SMSA

3 - Moved between SMSAs

4 - Moved from a SMSA to a non SMSA

5 - Moved from a non SMSA to an SMSA

6 - Moved from a non SMSA to a non SMSA

7 - Moved from abroad to an SMSA

8 - Moved from abroad to a non SMSA

9 - Not in survey, children L.E. (file specific age)

MIGRAT\\counts: 7903 8103 8203 8303 8403

none none 1 none none

1 23,076 50,038 66,797 66,704 65,972

2 7,449 4,309 5,500 5,468 5,722

3 2,317 1,253 1,624 1,552 1,620

4 1,438 756 1,013 880 863

5 892 665 741 696 777

6 4,340 3,446 4,116 4,341 4,048

7 645 274 290 242 291

8 61 64 87 121 96

9 2,880 999 1,311 1,277 1,343

Total 43,098 61,804 81,480 81,281 80,732

MIGRAT\\counts: 8503 8603 8703 8803 8903

none none none none none

1 42,880 38,358 37,739 38,150 35,220

2 12,383 3,679 3,639 3,730 3,320

3 4,468 1,398 1,382 1,175 1,100

4 2,502 417 341 368 343

5 1,946 438 522 330 302

6 8,327 1,590 1,526 1,580 1,470

7 1,123 129 110 115 147

8 220 13 12 31 23

9 6,222 none none none none

Total 80,071 46,022 45,271 45,479 41,925

MIGRAT\\counts: 9003 9103 9203 9303 9403

none none none none none

1 37,065 41,417 36,626 53,132 78,213

2 3,499 3,835 3,619 4,692 12,153

3 1,263 1,287 1,059 1,365 3,508

4 365 435 370 496 1,223

5 375 328 322 355 922

6 1,525 1,511 1,405 2,003 4,290

7 167 197 132 192 611

8 26 27 17 35 110

9 none none none 629 2,256

Total 44,285 49,037 43,550 62,899 103,286

MIGRAT\\counts: 9503 9603 9703 9803

none none none none

1 39,299 54,300 55,077 55,118

2 15,247 5,546 5,695 5,302

3 5,971 1,804 1,656 1,684

4 1,759 547 524 555

5 1,332 366 387 445

6 4,428 1,642 1,768 1,815

7 1,447 324 281 285

8 141 42 38 35

9 5,861 984 968 934

Total 75,485 65,555 66,394 66,173

18\. Industry IND (Simple & Invalid Entry Edit)

000 ==\> missing value code

> For files: 9203 chronologically up through 9803

Blanks to left of valid digits 0 filled.

> For files: 7303, 7802, 7903, 8014, 8008, 8012, 8103,
>
> 8203, 8303, 8403, 8503, 8509

19\. Major Industry MAJIND90 (Simple Edit)

00 ==\> missing value code

> For files: 8024

17 ==\> missing value code

For files: 8303 chronologically up through 9803

20\. Occupation OCC (Simple & Invalid Entry Edit)

000 ==\> missing value code

> For files: 9203 chronologically up through 9803

21\. Major Occupation MAJOCC90 (Simple Edit)

00 ==\> missing value code

> For files: 8024

19 ==\> missing value code

For files: 9203 chronologically up through 9803

22\. Employment Status Recode ESR (Simple and Recoding Edits)

The variable ESR has been recoded for the analysis files because the
change of definition occurring in 1994 resulted in two definitions that
were not directly compatible.

NOT AVAILABLE for files: 8024

Codes for files: All files 7303 through 9803 except 8024

0 -- Children \<= 13, Armed Forces, missing

1 -- In the labor force, employed

2 -- In the labor force, absent from work

3 -- In the labor force, unemployed, looking for work

4 -- Not in the labor force, disabled, unable to work

5 -- Not in the labor force, retired, other (housekeeping, student,
etc.)

Note: Age of person may be used to separate students from retired-other
persons in category 5.

ESR\\counts: 7303 7802 7903 8008 8012

0 33,734 760 10,439 41,188 40,403

1 51,211 49,604 17,759 72,960 75,814

2 2,100 2,458 700 9,050 2,584

3 3,017 3,892 1,379 6,774 5,843

4 1,782 1,489 590 1,951 1,892

5 39,369 36,459 12,231 50,450 51,229

Total 131,213 94,662 43,098 182,373 177,765

ESR\\counts: 8014 8103 8203 8303 8403

0 41,534 13,897 18,406 18,061 18,081

1 77,725 26,419 33,431 33,376 34,140

2 4,145 1,089 1,470 1,439 1,471

3 6,020 2,255 3,747 4,252 3,183

4 2,368 681 841 823 931

5 53,079 17,463 23,585 23,330 22,926

Total 184,871 61,804 81,480 81,281 80,732

ESR\\counts: 8503 8509 8603 8703 8803

0 17,324 31,073 238 11 441

1 34,532 63,854 26,028 26,127 26,522

2 1,440 2,947 1,107 1,142 1,114

3 3,044 4,671 2,132 1,968 1,691

4 819 1,404 649 586 669

5 22,912 40,749 15,868 15,437 15,042

Total 80,071 144,698 46,022 45,271 45,479

ESR\\counts: 8903 9003 9103 9203 9303

0 483 408 583 386 11,041

1 24,677 26,123 29,020 25,198 29,901

2 1,100 1,145 1,191 1,111 1,321

3 1,441 1,622 2,199 2,202 2,403

4 688 743 797 710 1,036

5 13,536 14,244 15,247 13,943 17,197

Total 41,925 44,285 49,037 43,550 62,899

ESR\\counts: 9403 9503 9603 9703 9803

0 26,710 18,011 15,706 15,553 15,775

1 44,458 33,931 29,455 30,319 30,578

2 1,667 1,421 1,112 1,095 1,132

3 3,683 2,173 1,949 1,892 1,724

4 2,753 2,202 1,870 1,974 1,930

5 24,015 17,747 15,463 15,561 15,034

Total 103,286 75,485 65,555 66,394 66,173

23\. Age AGE (Simple Edit and Recoding Edit)

99 ==\> missing value code

> For files: All files

25\. Year of Birth YOB (Invalid Entry Edit)

0- ==\> missing value code

> For files: 7903, 8103, 8203, 8303, 8403, 8503

(\_ , 0\_ , 9\> ==\> missing value code

> For file: 7303

0\_, X\_ , XX ==\> missing value code

> For file: 7802

-1 , -2 , -3 ==\> missing value code

For files: 9403, 9503, 9603, 9703

0\_, -1, -2, -3 ==\> missing value code

For file: 9803

26\. Place of Birth POB (Simple Edit)

99 ==\> missing value code

> For files: 8014, 8024, 8008, 8012

27\. Hispanic origin HISP (Simple Edit)

0 , 9 ==\> missing value code

> For files: All files

28\. Ethnic Origin ORIGIN (Recoding Edit)

Codes:

01 - German

> 02 - Italian
>
> 03 - Irish
>
> 04 - French
>
> 05 - Polish
>
> 06 - Russian
>
> 07 -- English, Scottish, Welsh
>
> 13 -- Mexicano, Mexican, Chicano, Mexican-American
>
> 14 -- Puerto Rican
>
> 15 -- Cuban
>
> 16 -- Central or South American
>
> 17 -- Other Hispanic
>
> 20 -- Afro-American (Black, Negro)
>
> 30 -- Other Group
>
> Value Code
>
> For files: 7303, 7802, 7903, 8103, 8203, 8303, 8403, 8503, 8509, 8603
> chronologically up through 9803

ORIGIN\\counts: 7303 7802 7903 8008 8012

\[new counts pending 6/5/2007---WS\]

29\. Race RACE (Simple Edit, Invalid Entry Edit and Recoding Edit)

7 ==\> 3 = Other

For files: 8012

9 ==\> missing value code

> For files: 7303, 8024

0 ==\> missing value code

> For files: 7802, 8012

\- ==\> missing value code

> For file: 8509

30\. Race Recoded RACER (Simple Edit)

9 ==\> missing value code

> For files: 7303, 7802, 8024, 8012

\- ==\> missing value code

> For file: 8509

31\. Sex SEX (Simple Edit and Recoding Edit)

9 ==\> If SEXC = 1 then SEX = 1

If SEXC = 2 then SEX = 2

Otherwise SEX = missing value code

> For files: 7303, 7802, 8014, 8008, 8012

9 ==\> missing value code

For files: 8024

32\. Sex Control File SEXC (Simple Edit and Invalid Entry Edit)

9 ==\> missing value code

> For files: 8012

7 ==\> missing value code

\- ==\> missing value code

> For file: 8509

33\. Marital Status MS (Recoding Edit)

Codes:

> 1- Married
>
> 2- Widowed (not used for the 7802 file)
>
> 3- Divorced (not used for the 7802 file)
>
> 4- Separated
>
> 5- Never Married
>
> 6- Widowed & Divorced (used for the 7802 file only)
>
> blank - Missing Value Code

For files: All files 7303 chronologically up through 9803

MS\\counts: 7303 7802 7903 8008 8012 8014

33,906 2,624 13 6,015 4,369 6,540

1 60,602 54,254 19,279 117,560 115,659 118,723

2 7,349 none 2,298 10,267 9,939 10,677

3 3,234 none 1,616 8,136 8,079 8,039

4 1,931 2,397 770 3,018 2,951 2,891

5 24,191 24,314 19,122 37,377 36,768 38,001

6 none 11,073 none none none none

Total 131,213 94,662 43,098 182,373 177,765 184,871

MS\\counts: 8024 8103 8203 8303 8403 8503

907 11 1 none none none

1 72,154 27,974 36,665 36,596 36,257 35,650

2 9,630 3,408 4,399 4,409 4,377 4,599

3 7,425 2,917 3,916 4,022 4,160 4,279

4 2,569 1,018 1,384 1,346 1,293 1,352

5 31,660 26,476 35,115 34,908 34,645 34,191

6 none none none none none none

Total 124,345 61,804 81,480 81,281 80,732 80,071

MS\\counts: 8509 8603 8703 8803 8903 9003

30,477 none none none none none

1 65,638 27,467 27,174 27,159 25,108 26,289

2 8,151 3,252 3,140 3,294 3,042 3,055

3 7,419 3,357 3,300 3,338 3,178 3,488

4 2,449 947 1,028 937 837 939

5 30,564 10,999 10,629 10,751 9,760 10,514

6 none none none none none none

Total 144,698 46,022 45,271 45,479 41,925 44,285

MS\\counts: 9103 9203 9303 9403 9503 9603

none none none none none none

1 29,104 25,677 30,684 42,136 32,688 27,833

2 3,262 3,046 3,660 5,049 3,901 3,456

3 3,854 3,582 4,245 6,753 4,929 4,504

4 1,051 933 1,100 1,902 1,321 1,201

5 11,766 10,312 23,210 47,446 32,646 28,561

6 none none none none none none

Total 49,037 43,550 62,899 103,286 75,485 65,555

MS\\counts: 9703 9803

none none

1 28,386 28,282

2 3,444 3,192

3 4,597 4,646

4 1,151 1,065

5 28,816 28,988

6 none none

Total 66,394 66,173

35\. Highest Grade Attended EDUC (Recoding Edit)

Education variable entirely recoded to be highest grade completed as
indicated by one set of codes for all cohorts. Distribution of codes is
as given below. EDUCC (grade completion flag) is not maintained on the
analysis files. EDUCORIG (see below) gives highest grade completed
according to the code in use at the time of the survey.

NOT AVAILABLE for file: 8024

Recodes for files: 7303 chronologically up through 8703, not 8024

01 ==\> 01; 02,03,04,05 ==\> 02; 06,07 ==\> 03; 08,09 ==\> 04;

10 ==\> 05; 11 ==\> 06; 12 ==\> 07; 13 ==\> 08; 14 ==\> 09;

15 ==\> 10; 16 ==\> 11; 17 ==\> 12; 18 ==\> 13; 19 ==\> 14.

Recodes for files: 8509, 8803 chronologically up through 9103

00 ==\> 01; 01,02,03,04 ==\> 02; 05,06 ==\> 03; 07,08 ==\> 04;

09 ==\> 05; 10 ==\> 06; 11 ==\> 07; 12 ==\> 08; 13 ==\> 09;

14 ==\> 10; 15 ==\> 11; 16 ==\> 12; 17 ==\> 13; 18 ==\> 14.

Recodes for files: 9203 chronologically up through 9803

00 ==\> 00; 31 ==\> 01; 32 ==\> 02; 33 ==\> 03; 34 ==\> 04;

35 ==\> 05; 36 ==\> 06; 37,38 ==\> 07; 39 ==\> 08;

40,41,42 ==\> 10; 43 ==\> 12; 44,45,46 ==\> 14.

Codes: All cohorts except 8024

00 - Missing, children

01 - None, LT E1 10 - Completed C2

02 - Completed El, E2, E3, E4 11 - completed C3

03 - Completed E5, E6 12 - Completed C4

04 - Completed E7, E8 13 - Completed C5

05 - Completed H1 14 - Completed C6+

06 - completed H2

07 - Completed H3

08 - Completed H4

09 - completed C1

EDUC\\counts: 7303 7802 7903 8008 8012

00 33,905 438 10,431 41,188 40,403

01 763 706 369 956 875

02 2,505 1,898 840 2,391 2,418

03 3,508 2,848 1,217 3,646 3,421

04 15,262 12,007 4,176 15,251 15,241

05 6,968 6,208 2,099 8,485 8,255

06 7,736 7,075 2,362 10,144 9,747

07 5,963 5,598 1,940 8,411 7,883

08 32,743 32,467 10,944 50,587 48,704

09 4,696 5,175 1,848 8,308 8,433

10 5,042 5,849 2,035 9,653 9,352

11 2,095 2,391 839 3,953 3,859

12 6,302 7,248 2,410 11,656 11,377

13 1,319 1,671 508 2,535 2,524

14 2,406 3,083 1,080 5,209 5,273

Total 131,213 94,662 43,098 182,373 177,765

EDUC\\counts: 8014 8103 8203 8303

00 41,534 13,843 19,376 19,022

01 946 314 435 431

02 2,571 799 1,274 1,213

03 3,822 1,246 1,713 1,703

04 17,691 5,351 5,942 5,519

05 8,721 2,887 3,646 3,523

06 10,048 3,115 4,219 4,052

07 8,291 2,670 3,526 3,428

08 50,237 17,559 22,615 22,719

09 8,438 2,879 3,662 3,840

10 9,363 3,185 4,335 4,578

11 3,862 1,265 1,732 1,759

12 11,518 4,052 5,291 5,730

13 2,607 792 1,192 1,185

14 5,222 1,847 2,522 2,579

Total 184,871 61,804 81,480 81,281

EDUC\\counts: 8403 8503 8509 8603 8703

00 19,080 18,369 none 744 531

01 405 408 31,052 182 186

02 1,069 1,065 1,514 598 550

03 1,580 1,529 2,426 955 907

04 5,444 5,224 10,239 3,478 3,396

05 3,370 3,388 6,058 2,202 2,100

06 3,891 3,886 7,039 2,694 2,572

07 3,341 3,262 5,822 2,236 2,221

08 22,808 22,616 42,270 17,312 16,829

09 3,863 4,035 7,202 3,134 2,947

10 4,548 4,683 8,906 3,440 3,757

11 1,741 1,792 3,535 1,434 1,390

12 5,638 5,962 11,304 4,513 4,680

13 1,189 1,159 2,184 925 931

14 2,765 2,693 5,147 2,175 2,274

Total 80,732 80,071 144,698 46,022 45,271

EDUC\\counts: 8803 8903 9003 9103 9203

00 none none none none 363

01 650 663 617 546 190

02 559 605 550 642 531

03 888 807 849 929 754

04 3,275 2,944 2,924 2,893 2,436

05 2,137 1,982 1,996 2,066 1,607

06 2,613 2,248 2,399 2,544 2,103

07 2,236 2,055 2,177 2,286 2,698

08 17,189 15,510 16,522 18,650 14,455

09 2,905 2,818 3,093 3,472 none

10 3,593 3,382 3,709 4,322 none

11 1,369 1,359 1,407 1,609 10,273

12 4,678 4,515 4,792 5,429 5,461

13 899 850 843 990 none

14 2,488 2,187 2,407 2,659 2,679

Total 45,479 41,925 44,285 49,037 43,550

EDUC\\counts: 9303 9403 9503 9603 9703

00 10,911 26,254 17,703 15,470 15,300

01 254 471 309 271 266

02 581 1,010 685 599 590

03 1,025 1,892 1,253 1,118 1,120

04 2,868 4,019 3,052 2,629 2,489

05 1,979 3,164 2,505 2,121 2,177

06 2,566 3,884 2,830 2,476 2,493

07 3,089 4,868 3,339 3,086 3,207

08 17,355 24,536 18,490 15,940 16,089

09 none none none none none

10 none none none none none

11 12,481 18,880 13,891 12,024 12,335

12 6,574 9,771 7,679 6,711 7,020

13 none none none none none

14 3,216 4,537 3,749 3,110 3,308

Total 62,899 103,286 75,485 65,555 66,394

EDUC\\counts: 9803

00 15,549

01 210

02 536

03 1,099

04 2,319

05 2,033

06 2,364

07 3,112

08 15,972

09 none

10 none

11 12,510

12 7,206

13 none

14 3,263

Total 66,173

# 39. Cause of Death CAUSE (Simple Edit) 

For persons alive the blank or missing code has been recoded to \'0000\'
to accommodate the LPS system.

bl ==\> \'0000\'

45\. Month of Birth MOB (Simple and Invalid Entry Edits)

0\_ ==\> missing value code

all two digit character strings not in 01 to 12 interval

> ==\> missing value code

NA ==\> missing value code

> For file: 7303

00 ==\> missing value code

> For file: 7802

0-, -0, \-- ==\> missing value codes

> For files: 7903, 8103, 8203, 8303, 8403, 8503

-1, -2, -3 ==\> missing value code

> For files: 9413, 9503, 9603, 9703, 9803

54\. Race Extended RACEX(Simple Edit, Invalid Entry & Recoding Edits)

9 ==\> missing value code

> For files: 7903, 8014, 8024, 8008, 8012, 8103, 8203, 8303, 8403, 8503

-   ==\> If RACER = 1 then RACEX = 1

> If RACER = 2 then RACEX = 2
>
> Otherwise RACEX set to missing
>
> For file: 8509

57\. Occupation Recode OCCREC (Simple Edit)

\-- ==\> missing value code

> For file: 8024

63\. Categorized income 1990 \$ FMINC90 (Simple Edits)

00 ==\> missing value code

For files: All files.

64\. 1980 Categorized income inflated to 1990 \$ FINC8090 (Invalid &
Recode Edits)

> \- ==\> 0 negative income value code
>
> 9 ==\> missing value code

For files: All files.

66\. Percent Of Poverty Level In 1990 \$ POVPCT90 (Simple Edits)

00 ==\> missing value code

For files: All files.

71\. Class of worker CLASSWKR (Invalid Edits)

\-- ==\> missing value code

For file: 7303

-1 ==\> missing value code

For files: 8903, 9003, 9103

\^\^ ==\> missing value code

For file: 8012

72\. Recode of class of worker RCOW1 (Invalid & Recode Edits)

\- ==\> missing value code

For files: 7303, 7802, 8014, 8008, 8012

0 ==\> missing value code

For files: All files

\^ ==\> missing value code

For file: 8012

> 1 ==\> 1
>
> 2 ==\> 2
>
> 3 ==\> 3

4 ==\> 4

> 5 ==\> 1
>
> 6 ==\> 2

7 ==\> 3

8 ==\> 4

For file: 7303

3,4 ==\> 2

5,6 ==\> 3

7 ==\> 4

8 ==\> 5

For files: all files except 7303 and 8024

Codes for files: All files except 8024

Blank -- Not in universe, unknown

1.  -- Private Industry

2.  -- Government

3.  -- Self-employed

4.  -- Worked without pay

5.  -- Never worked

6.  

RCOW1\\counts: 7303 7802 7903 8008 8012

75,365 35,224 21,258 89,127 88,927

1 41,580 42,948 15,669 66,810 63,148

2 8,897 9,567 3,561 14,288 14,371

3 4,727 5,598 2,074 9,995 9,714

4 644 651 241 1,139 866

5 none 674 295 1,014 739

Total 131,213 94,662 43,098 182,373 177,765

RCOW1\\counts: 8014 8024 8103 8203 8303

91,642 124,345 31,925 40,854 40,320

1 66,303 none 21,283 28,983 29,103

2 15,081 none 4,696 6,298 6,334

3 9,816 none 3,281 4,405 4,633

4 1,062 none 322 431 379

5 967 none 297 509 512

Total 184,871 124,345 61,804 81,480 81,281

RCOW1\\counts: 8403 8503 8509 8603 8703

40,070 39,315 69,870 14,664 13,992

1 29,126 29,692 54,375 22,977 22,841

2 6,378 6,050 11,061 5,037 5,028

3 4,490 4,415 8,277 3,189 3,282

4 262 209 487 155 128

5 406 390 628 none none

Total 80,732 80,071 144,698 46,022 45,271

RCOW1\\counts: 8803 8903 9003 9103 9203

14,884 13,500 14,405 15,462 13,896

1 22,114 20,424 21,494 24,401 21,628

2 4,807 4,516 4,835 5,369 4,661

3 3,385 3,230 3,301 3,683 3,146

4 112 114 106 122 69

5 177 141 144 none 150

Total 45,479 41,925 44,285 49,037 43,550

RCOW1\\counts: 9303 9403 9503 9603 9703

28,342 52,659 37,429 32,550 32,613

1 24,873 37,403 27,642 24,411 24,972

2 5,627 7,223 5,813 4,693 4,774

3 3,927 5,688 4,353 3,696 3,839

4 129 81 55 55 33

5 1 232 193 150 163

Total 62,899 103,286 75,485 65,555 66,394

RCOW1\\counts: 9803

32,307

1 25,288

2 4,727

3 3,669

4 38

5 144

Total 66,173

73\. Sex from multiple sources SEXF (Simple Edits)

9 ==\> missing value code

For file: 7802, 8024, 8012

85\. Residence Ownership RENTER (Simple Edits)

0 ==\> missing value code

For files: 7303, 7802, 7903, 8014, 8008, 8012, 8103,

8203, 8303, 8403, 8503, 8509

NEW VARIABLES ADDED TO THE RCOD FILES

CAUSE3 - A three-character variable that is an extract of the first
three characters of the variable CAUSE.

NOTE: In order to agree with developed software, persons alive have
CAUSE3 = \'000\'.

STATER Division-State Concatenated (Simple Edit)

This new variable added to the RCOD files is the concatenation of DIV
and STATE to form a two digit state code according to 1960 Census
coding.

00 ==\> missing value code

> For files: 7303, 7802, 8014, 8024, 8008, 8012, 8203

VALID - An indicator variable to show which records are valid

for analysis. Below is the SAS code to determine VALID = 0:

> If AGE = . ; (AGE \>= 65 on 7303 file)
>
> If RACER = \' \';
>
> If SEX = \' \' ;
>
> If IND201 \< \'2\';

Codes:

> 0 - Record failed edit or is not valid for analysis
>
> 1 - Record is valid for analysis

LIFE - An indicator variable to show dead or alive

Below is the SAS code to compute the variable LIFE:

IF IND201 = \'2\' THEN LIFE = \'1\';

IF IND201 = \'3\' OR IND201 = \'4\' THEN LIFE = \'0\';

(These statements imply that fail-edit records are coded as missing.)

Codes-

0 - Person identified as alive according to 2001 match

1 - Person identified as dead according to 2001 match

LIFE\\counts: 7303 7802 7903 8008 8012

1,027 1,900 1,518 1,050 2,881

0 107,441 72,787 35,289 154,153 149,754

1 22,745 19,975 6,291 27,170 25,130

Total 131,213 94,662 43,098 182,373 177,765

LIFE\\counts: 8014 8024 8103 8203 8303

1,888 143 1,707 1,598 2,070

0 154,687 100,788 51,558 69,222 69,657

1 28,296 23,414 8,539 10,660 9,554

Total 184,871 124,345 61,804 81,480 81,281

LIFE\\counts: 8403 8503 8509 8603 8703

3,234 3,367 23 4 4

0 68,669 68,593 132,266 39,613 39,667

1 8,829 8,111 12,409 6,405 5,600

Total 80,732 80,071 144,698 46,022 45,271

LIFE\\counts: 8803 8903 9003 9103 9203

5 6 4 5 4

0 40,233 37,615 40,286 45,681 40,642

1 5,241 4,304 3,995 3,351 2,904

Total 45,479 41,925 44,285 49,037 43,550

LIFE\\counts: 9303 9403 9503 9603 9703

2,294 697 540 629 610

0 57,845 99,528 73,130 63,826 65,068

1 2,760 3,061 1,815 1,100 716

Total 62,899 103,286 75,485 65,555 66,394

LIFE\\counts: 9803

690

0 65,231

1 252

Total 66,173