Census of Population and Housing, 1980 (United States)

ICPSRInter-university Consortium for

Political and Social Research

Census of Population and Housing, 1980(United States): Summary Tape File 3

U.S. Dept. of CommerceBureau of the Census

ICPSR 8071, 8038, 8157, 8318, 8402, 8710

This document was previously available in paper format only. It was converted toPortable Document Format (PDF), with no editing, on the date below as part ofICPSR’s electronic document conversion project, supported in part by the NationalScience Foundation (SBR-9617813). The document may not be completelysearchable. No additional updating of this collection has been performed.

May 1999

iversity Cons Social

Census of Population and Housing [United States]: Summary Tape Files 3A. 38, 3C, 3D. 3H, and

3D Congressional District-Level Extract

(ICPSR 8071, 8038, 8157. 8318, 8402, 8710)

Principal Investigator

U.S. Dept. of Commerce Bureau of the Census

Inter-university Consortium for Political and Social Research P.O. Box 1248

Ann Arbor. Michigan 48106

First ICPSR Editions 1982, 1983, 1985, 1986, and 1987

Acknowledgement of Assistance

.A11 manuscripts utilizing data made available through the Consortium

should acknowledge that fact as well as identify the original collector

of the data. The ICPSR Council urges all users of the ICPSR Data

facilities to follow some adaptation of this statement with the

parentheses indicating items to be filled in appropriately or deleted

by the individual user.

The data (and tabulations) utilized in this (publication) were made available (in part) by the Inter-university Consortium for Political and Social Research. The data for CENSUS OF POPULATION AND HOUSING [UNITED STATES]: SUMMARY TAPE FILE 3 were originally collected by the U.S. Department of Commerce, Bureau of the &“SUS. Neither the collectors of the original data nor the Consortium bear any responsibility for the a”alySeS or interpretations presented here.

In order to provide funding agencies with essential information

about the use of archival resources and to facilitate the exchange

of information about ICPSR participants' research activities, each

user of the ICPSR data facilities is expected to send t"o copies

of each completed manuscript or thesis abstract to the Consortium.

Please indicate in the cover letter which data were used.

-

U.S. Dept. of Conmerce. Bureau of the Census; CENSUS OF POPLLATION AND HOUSING, 1980 [UNITED STATES]: SLWlARY

TAPE FILE 3A (ICPSR 8071) CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: SUHMARY

TAPE FILE 38 (ICPSR 8318) CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: SUMMARY

TAPE FILE 3C (ICPSR 8038) CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: SWMARY

TAPE FILE 30 (ICPSR 8157) CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: SUMMARY

TAPE FILE 3D CONGRESSIONAL DISTRICT-LEVEL EXTRACT (ICSPR 8710)

CENSUS OF POPULATION AND HOUSING, I980 [UNITED STATES]: SUNMARY TAPE FILE 3H (ICPSR 8402)

Summary Tape File 3 consists of five sets of files that contain detailed tabulations of the nation’s population and housing characteristics produced from the 1980 Census. The series consists of Summary

Tape Files (STF) 3A, 3B, 3C, 3D, and 3H. The files contain sample data inflated to represent the total population; “100 percent counts~ and unwighted sample counts are also provided for certain characteristics.

Complete-count data are included for demographic data such as age, race, sex, marital status, and Spanish origin, and for housing informs- tion such as the number of rooms at the address, occupancy status, property value, number of rooms, and plumbing facilities. Sample data inflated to represent the total population are provided for other topics: education, language, ancestry, employment, transportation, and income, plus detailed information on housing characteristics.

All datasets in the STF3 series have identical record formats and technical characteristics (except for the omission of 100 percent counts from STF3B). Substantive data variables are organized in the form of 150 “tables” that are accompanied by standard geographic identification variables. The various collections differ only in the types of geographical areas for which the data are summarized.

STF3A provides summaries for the States or state equivalents; Counties or county equfvalents; minor civil divisions (MCDS) or census county divisions (CCDs); places or place segments within HCD/CCDs of remainders of MCD/CCDs; census tracts or block numbering areas; block groups or enumeration districts; places; and Congressional Districts. An additional STF 3A file for Puerto Rico la also available from ICPSR. The information in this file is similar to but not identical with the data for the 50 states and the District of Columbia. This file is documented in a separate codebook.

STF3B provides summaries for each 5-digit ZIP code area in numeric order within each state. The data are summarized at the state, sts”dsrd Metr0p0litan ststisticsl ores (SMSA), and county 1~~1s.

STF3C is a national file containing summaries for the following levels: United States, Census Regions, census DiViSiO"S, states, Standard Consolidated Statistical Areas (SCSAs), SMSAs, urbanized areas (UAs), counties, places of 10,000 or more, MCDs of 10,000 or more (in eleven selected states), and Congressional Districts.

STF3D provides summaries for state or state equivalent; Co"gressional District (as constituted for the 98th Congress); county or county equivalent; places of 10,000 or more people; and minor CiVil

divisions or census county divisions. STF3H is a supplement to 3D; it supplies data for the ten States (California, Hawaii. Louisia"a, Maine, ?lississippi, Montana, Nev Jersey. New York, Texas, and Washington) that were redistricted for the 99th Congress.

STF3A, STF3B, and STF3D are each comprised of 51 separate files: one for each state, plus the District of Columbia. STF3C consists of one nationwide datafile containing information about all states. STF3H co"tai"s 10 files, one for each state covered. Each logical record in these collections consists of 12,096 characters, and is divided into six "record segments" of 2,016 characters. The number of records in each file varies by state. Class IV

NOTE TO USERS:

The Census Bureau's machine-readable data dictionary for STF3 is also available on the same tape as CENSPAC 3.2 (ICPSR t/7789), the software package designed specifically by the Census Bureau for use with the 1980 Census data files. A description of CENSPAC is located in the Instructional Packages section of ICPSR's Guide to Resources and Services.

For a description of STF 3D Congressional District-Level Extract, see next page.

United States Department of Commerce. Bureau of the Census CENSUS OF POPULATION AND HOUSING, 1980 [UNITED STATES]: SLIMMARY

TAPE FILE 1D CONGRESSIONAL DISTRICT-LEVEL EXTRACT (ICPSR 8710)

SUMMARY: For this dataset, congressional district records were extracted from Summary Tape File 3D files and combined into a single file with the congressional district as the "nit of analysis. While the 51 STF 3D files contain several levels of geographic hierarchy--state, congressional district, county or county equivalent, places with 10,000 or more inhabitants, and minor civil divisions with 10,000 or more inhabitants--with one file per state, this extract file presents data for one geographical level, the congressional district, and contains records for all congressional districts in the nation in one physical file. The 4'36 congressional districts described in the file are defined according to the boundaries established for the 98th CO”gresS. Summary Tape File 3 consists of detailed tabulations of the nation's population and housing characteristics and is composed of five parts: STF 3A, STF 38. STF 3C. STF 3D. and STF '3H. These files contain sample data inflated to represent the total population but also include 100-percent counts and unweighted sample counts for some variables. Complete-count data are supplied for demographic characteristics such as age, race, sex, marital status, and Spanish origin, and for housing information such as as the number of units at the address, number of rooms, occupancy status, tenure, property value, and plumbing facilities. Sample data are provided for other items including education, language, ancestry, employment, transportation, and income. CLASS IV

UNIVERSE: All persons and housing units in the United States. SAMPLING: For STF 3 one-half of all housing units and persons in group quarters in incorporated places of less than 2,500 persons were included in the sample. In all other places, one-sixth of the housing units or persons in group quarters were sampled. When both sampling rates were taken into account, approximately 19 percent of the nation's housing units were included in the census sample. NOTE : This extract file was prepared by John McAdams, Associate Professor of Political Science at Marquette University. Data contained in the file are identical to those supplied by the Census Bureau in the congressional district-level records of STF '3D files. and standard Census Bureau technical documentation for STF 3 can be used with the file. The 12,096-character census logical record is divided into six segments of 2,016 characters each.

EXTENT OF COLLECTION: I data file DATA FORMAT: Logical Record Length

FILE STRUCTURE: rectangular CASES: 436 VARIABLES: approximately 1,150 RECORD LENGTH: 2,016 RECORDS PER CASE: 6

TCS:R431-X836OOOOOnOO

Census of Population and Housing, 1980:

Sunary Tape File 3H

Congressional Districts of the 99th Congress

(Supplement to STF 3D--Congressional nistricts of the 98th Congress)

Technical Documentation

-.

Census of Population and Housing, 199?: Summary Tape File 3Y, Congressional Districts of the 99th Congress (machine-readable data file)/Prepared by the U.S. Bureau nf the Census. Washington: The Bureau (producer and distributor), 1984.

ABSTRACT

TYPE OF FILE:

Summary statistics.

UNIVERSE DESCRIPTION:

All persons and housing units in the following States: California, Hawaii, Louisiana, Maine, Mississippi, Montana, New Jersey, New York, Texas and Washington.

SUBJECT-MATTER DESCRIPTION:

This file primarily contains sample data inflated to represent the total popljlation. In addition, the file contains loo-percent counts and unweighted sample counts of persons and housing units. Population and housing items tahulated include the following:

Population

*Household relationship *Sex *Race *Age *Marital status *Spanish origin School enrollment Years of school completed Nativity and place of birth Language spoken at home and

ability to speak English Ancestry Residence in lo75 Lahor force status in 1979 Veteran status and period

of service Work disability status Transportation disability

status

Housing

*Number of units at address *Complete plumbing facilities *Number of rooms *Tenure (whether owned or rented) *Vacancy status *Value for noncondominiums Rent Units in structure Stories in structure and presence of

passenger elevator Year structure built Year householder moved into unit Source of water Farm residence Sewage disposal Heating equipment House heating fuel Water heating fuel Cooking fuel

* 100-percent item from sample questionnaire.

1

Population

Children ever horn Lahor force status Place of work Travel time to work Means of transportation

to work Private vehicle occupancy

(carp001 arrangements) Industry Occupation Class of worker Number of weeks worked in 1979 Usual hours worked per week

in 1979 Number of weeks unemployed in

1979 Income in 1979 Income type in 1979 Poverty status in 1979

Housing

Kitchen facilities Number of hedrooms Number of bathrooms Telephone in housing unit Air conditioning Number of vehicles available (automobiles,

vans, and light trucks) Selected monthly owner costs (sum of

payments for real estate taxes, property insurance, utilities, and regular mortgage payments)

Selected aggregates and medians are also provided.

GEOGRAPHIC COVERAGE:

For the ten States listed in the Universe -- State, congressional districts for the 99th Congress, counties, and those places (and in Maine, New Jersey and New York minor civil divisions) with 10,000 or more inhabitants.

TECHNICAL nESCRIPTION:

FILE SIZE:

One file per State, logical record length of 12,096 characters with six record segments of 2,016 characters each. The block size for the files varies with user specifications. A printout listing the block size and block count will he sent with each file.

FILE SORT SEQUENCE:

This file is sorted by level of geographic hierarchy.

REFERENCE MATERIALS:

I1.S. Bureau of the Census. "Census of Population and Housing, 1980: Summary Tape File 3H, Congressional districts of the 99th Congress (supplement to STF 3D, Congressional Districts of the 98th Congress) Technical nocumentation". The STF 3Y supplement includes this abstract as well as additional information about the file. STF 3D documentation includes a data dictionary. One copy of STF 3ll and the STF 3H supplement accompanies each file order. When ordered separately, they are available for S5.nn from nata User Services Division, Customer Services (Tapes). Bureau of the Census, Washington, Q.C. 20233.

2

RELATEn PRINTEn REPORTS:

PHC80-4 Congressional Districts of the 98th Congress. This report presents statistics from the 198D census on demographic and housing characteristics of the inhabitants of the State, congressional districts of the 98th Congress, and selected geographic areas within the congressional districts. The congressional districts are those in effect for election to the U.S. House of Representatives in November 1982. The PHCRn-4 series consists of an individual report for each State and for the District of Columbia, A map is included with the State report showing congressional district boundaries, county boundaries, and the locations of selected cities. No congressional distict boundaries are shown on the maps for the six States with one representative at large nor for the District of Columbia. This report. is available from the U.S. Government Printing Office, Washington, D.C. 20402.

PHCEO-4 Congressional Districts of the 99th Congress. This report presents statistics from the 1940 census on denoaraohlc and housino characteristics of the inhabitants of the State, congressional districts of the 99th Congress, and selected geographic areas within the congressional districts. The congressional districts are those in effect for election to the U.S. House of Representatives in November 1984. The PHCRO-4 series consists of an individual report for the following States: California, Hawaii, Louisiana, Yaine, Mississippi, Montana, New Jersey, New York, Texas and Washington. A nap is included with the State report showing congressioanl district houndaries, county houndaries, and the locations of selected cities. This report is available from the U.S. Mvernment Printing Office, Washington, n.c. 2n4n7.

- RELATED MACHINE-REAOABLE FILES

Census of Population and Housing, 1980: Summary Tape File 1D. This file contains complete count population and housing data for congressional districts of the 98th Congress.

Census of Population and Housing, 1o8n: Summary Tape File 3D. This file contains samole population and housino data inflated to represent the total poplllation for congressional districts of the 98th Congress.

Census of Population and Housing, 198n: Summary Tape File 1H. This file contains complete count population and housing data for Congressional Districts of the 99th Congress.

FILE AVAILABILITY:

STF 3H is available for the 10 States in the Universe, on one reel of tape at 16On bpi or 6250 hpi, 9-track, at a cost of $140.

STF 3H, Congressional Districts of the 99th Congress, can he ordered usin the order form on the next page. When ordering please include title and file number X836nnOnnnnn.

STF 3 FILE DESCRIPTION

Summary Tape File 3 (STF 3) is one of a series of summary data files available from the 1980 census. The file contains sample data inflated to represent the total population and is composed of five parts -- STF 3A, STF 3R, STF 3C, STF 3D and STF 3H. These parts have identical tables and format, except for the omission of JIM-percent counts for population and housing in STF 38, hut present the data for different geographic areas.

File Structure and Geographic Coverage -

For each geographic area there will be a 12,096-character census logical record. Because of its large record size, STF 3 is divided into six segments of 2,016 characters each. These segments are identified within the goegraphic identification section repeated for each segment.

The first segment of each census logical record begins with 252 characters of geographic information and the suppression flags, while each subsequent segment begins with 102 characters of geographic information.

The record segments were arranged so that individual tables do not cross segment boundaries. Recause of this, most segments have some padding at the end. The follnkng chart illustrates the segmentation on STF 3.

STF 3 Segment Arrangement

Segment No.

1 2 3 n 5 6

252 l-19 lU2 20-47 102 48-71 in2 72-101 102 1n2-12.s in2 129-150

1;863 1,911 1,887 1,414 1,437

Total 752 l-150 10,489 846 12,096

No. of Chars. No. of Chars. No. of Chars. Total (Geography) Tables (Tables) (Padding) Chars.

1.47fi

File STF 3H. This file presents demographic and housing characteristics of the inhabitants of the 10 States that redistricted for the 99th Congress, congressional districts in these States, and selected geographic areas within the congressional districts, The congressional districts are those in effect for election to the U.S. House of Representatives in November 1984.

5

This file contains summary level data which follow the geographic hierarchy indicated in figljre 1 below. Records are shown for the State, a congressional district, then all counties within the congressional district. All county records are followed by records for all places of lfl,(lOn+ within the congressional district and then hy MCD's of lO,OOr)+ in Maine, New Jersey and New York within the congressional district. When a county, place, or MCD is split between two or more congressional districts, the summary record for a county, place. or MCD'S contained within each of the congressional districts geographic hierarchy will show only the data for that portion contained within the congressional district.

In the other 40 states, the congressional districts in effect for election to the U.S. House of Representatives in November 1984 (Districts of the 99th Congress) are the same districts that were in effect for the 98th Congress. These same data are summarized for districts of the 98th Congress in STF 3D.

Figure 1 helow outlines the goegraphic hierarchy. Following Figure 1 is a discussion of each sumnary level in the heirarchy.

State

FIGURE 1. Geographic Hierarchy of STF 3H

Congressional district

County or county equivalent or pnrtion of county

Places of lO,OOO+ or portion of place

MCD's of lO.DOO+ or portion of MCD (Maine, New Jersey, New York)

The State record (Sunmary Level 04) contains a summary for the State or State equivalent.

The Congressional District record (Summary Level 33) contains a summary for each congessional district within the State according to the congessional district boundaries established for the 99th Congress.

The County record (Summary Level 37) contains a record for each county or county equivalent, including independent cities, or portion of county, county equivalent, or independent city within each congressional district.

The Place record (Summary Level 38) contains a summary for each place with lO,nnn or more inhabitants, or portion of a place, located within the congress!ola: district.

The MCn record (Summary Level 39) contains a summary for each county subdivision (minor civil division) with ln,DnO or more inhabitants, or portion of an MCD, located within the congressional district in Maine, New ,lersey and New York.

CENSUS OF FWULATION AND HOUSISG, 1990:

SJMURYTAPE FILE 3

TEHNICAL WCUMENTATION

UPDATE INFOHMATION

--

Additional information concerning this file may be available at a later date. If you have purchased tnis documentation (with or witnout tape purchase) from the Census Bureau and wish to receive these User Notes, please complete the coupon belOW specifying which files ana States you ordered.

mail to: Data User Services Division Data Access and Use Staff Bureau of the Census Washington, D.C. 20233

1VUT E : Only coupons from original copies of this documentation will be honored

* * * * * * * * * * * * * * * l * w

Name of File: Census of Population and Housing, 1990: Summary Tape File 3

State(s):

File A File C

please send me any information wnich might become available later concerning the file listed.

Name:

Address:

Phone:

This page intentionally left blank.

CENSUS OF POPULATION AND HOUSING, 19BO:

SUMMARY TAPE FILE 3

TECXNICAL DOCUMENT.~TION

dashington, D.C.

1982

U.S. DEPARTgENT OF COEXMERCE

Xalcoln Baldrige, Secretary Joseph R. Wright, Jr., Deputy Secretary

dobert G. Dederick, Assistant Secretary for Econonic Affairs

BUREAU OF THE CENSUS

Bruce Chapnan, Director

BUKEAU OF THE CENSUS

Bruce Chapman, Director C. Louis Kincannon, Deputy Oirector

DATA USER SEHVICES DIVISION

Ldichael G. Garland, Chief Marshall L. Turner, Jr., Assistant Chief

for User Services

ACKNOWLEDGMENTS

This documentation was prepared within the Data Access and Use Staff, under the direction of James P. Curry, Chief, and Barbara J. Aldrich, Chief of its Tecnnical Information Section. Annette Ralston was the coordinator for this file assisted by Edward Hightower, Yvonne Wade, J03nn Sutton, Barbara Shugart, Jean Pope, and Mary Kilbride. It was partially adapted from materials prepared by David Silver, Stephen E. Goldman, and Eleanor Banks of Decennial Census Division, Thomas Harahush and Harold Yamauchi of Statistical Methods Division, and staff members of Data User Services Division. Support was provided tnrough content review by staff members from Decennial Census Division, tieography Division, Housing Division, Population Division, and Statistical Metnods Division.

* * * * * * * * * * * * * * * * * *

The files should be cited as follows:

Census of Population and Housing, 1980: Summary Tape File 3A (Name of State) [machine-readable data file] / prepared by the Bureau of the Census. --Washington: The Bureau [producer and distributor], 1982.

Census of Population and Housing, 1980: Summary Tape File 38 (.uame of State) [machine-readable data file] / prepared by the Bureau of the Census. --Washington: The Bureau [producerI, 1982; Lgational planning Data Corporation and others [distributor], ldw2.

Census of Population and Housing, lY80: Summary Tape File 3C [machine-readable data file] f prepared by the Bureau of the Census. --Wasningtoa: The Bureau [producer and distributor], lY82.

This technical documentation should be cited as follows:

Census of Population and Housing, 1980: Summary Tape File 3 Technical Documentation / prepared by the Data User Services Uivision, Bureau of the Census. --Washington: The Bureau, 1982.

l l * * * * * * * * 1 * * * * * l *

ii

For additional information concerning the files, contact Data User Services Division, Customer Services (Tapes)bureau of the Census, Washington, D.C. 20233. Phone: (301) 763-4100.

For additional information concerning the tecnnical documentation, contact Data User Services Vivision, Vata Access and Use Staff, hreau of the Census, lashington, V.C. 20233. Pnone: (3Vl) 763-2U74.

For additional information concerning the subject matter of the file, contact Population Division, (301) 763-7962, or Housing Division, (301) 763-2873, Bureau of the Census, Washington, D.C. 20233.

111

,,,,,, ,” ,. ,, ,, ...,I ,” ,,,,, ,,,,,, ,,,

USER NOTES

This section will contain Information relevant to Summary Tape File 3 which becomes available after the file Is released.

User Notes will be sent to all users who (1) purchased their files (or technical documen;$tion) from the Census Bureau and (2) returned

the coupon located inside the front cover of

.\ttachmenc

Data L’ser ?lews, Februar;, 1985 --- m- - ,---I--

Corrected STF 3A Tapes Show Revised Income Data

As Data User News has report

ed over the past few months,

the Bureau has detected errors

in the coding of income respon-

ses made on 1980 census sample

questionnaires. In a review of per capita income estimates for

local areas in the rewnue sharing program, we discovered

that per capita income in certain areas was much higher than

anticipated.

Though relatively few geo-

graphic areas were affected,

they were scattered throughout

the Nation, necessitating an extensive review of incane

coding. This review has

delayed the release of sewral

sawle data products. most

notably the Census Tracts reports, Summary Tape File

(STF) 4, and the Public-Use Microdata Sample Film.

The coding problems caused zme errors in the inccme figures in STF 3 and in the

Summaq Characteristics for Standard Metropolitan Statlsti- cal Areas and Covemmntal Units (PHC80-3) and the Adv?nce Estimates of *ial, Economic,

and Housing Characterlstks (PHCBO-52 ) reports.

STF 3 brrcctkms

The Bureau row plans to release corrected tapes for all files in the STF 3A series.

These files will contain all of

the STF 3 matrices including revised income and warty status data for all affected - geographic areas in STF 3A. These files will also Contain

sanz corrections of minor

problems in the data a, years

of school completed, language

spoken at home, place of wrk, and residence in 1975. These

changes will not affect the.

data tq any appreciable extent.

The impact of the inccme changes is rummar!zed by State

and cqunty in STF 3 User Note

No. 5, available for 95 from Customer Services.

The first files in the STF 3A

correction series will be re-

leased in February.

Users who purchased STF 3A for a particular State from the

Bureau will be notified con-

cerning the replacement of

their tapes.

The Bureau will follow the

same procedure in releasing STF 3C. the national file con-

taining sample data for the

larger areas in the Nation (see

page 1 I. As indicated, we have

released STF 3C uncorrected. We took this ccurse to amid substantial delays in the

release of national sample data. We will release the corrected STF 3C in March or April.

STF 3 Microfiche

We will follow a different

course in releasing microfiche versions of STF 3A and STF 3C.

In both cases, we will release

only a corrected wrsion. Users can expect the release of STF 3A microfiche to hegin in March: the STF 3C fiche will be

released upon cwletion of all State STF 3A fiche.

Ccvrections to Printed Reports

Finally, the Bureau will prepare a set of tabulations

showing corrected per capita income figurer for each

State report in the Summary

Characteristics for Standard

Metropolitan Statistical Areas

and Cowrnmental Units

(PHCBO-3) series released last fall. These tabulations will be available free.

In the meantime, users of the Advance Estimates repOur can

send for a copy of User Note No. 5 which lists counties

affected by the inccrne problem and shows the dollar amounts by

which the per capita and aggre-

gate incomes must be adjusted

downward (see above).

All of these correct ions and corrected products will be available from Customer Serv- ices (301/763-4100). If you have questions about the scope

of the income problem, contact the Population Division, Bureau

of the Census, Washington, D.C. 20233, telephone 301,‘763-5060 or -7962.

Future Sample Products

Future 1980 cenws sample

data products will ix derived

frwn corrected files. Among these products are STF 3D (con-

gressional districts), STF 3F

(school districts). STF 3C

(neighborhood statistics), the

Public-Use Microdata Sample

Files. STF 4, the Census Tracts (Pt-KBO-2) reports. the General

Social and EcOncmic Character- istics (PCBO-1-C) reports, and

[he Congressional Districts of the 98th Congress (PHC~O-4).

&a User News will keep you

molted on the release dates of :hese and other 1980 census ,rducts.

UNITED STATES DEPARTMENT OF COMMERCE Eurssu of thm Cmnsus W..hi”gLO”. D.C. 20233


Summary Tape File 3

User Note No. 1

Subject: Tracts Split by Standard Metropolitan Statistical Areas (SMSA's)

There are currently two instances in New England in which a tract is s,Jlit by an SMSA because some of its minor civil divisions (XCD's) are inside an SMSA and some are not. This occurs because it was not known at the time the tracts were established which :dCD's would be included within new SMSA's. The two instances are listed below.

!daine - Tract 0090 in Penobscot County (019) has two MCD's .#hich are in the Bangor SYSA and one wnich is outside tne S;dSA.

Vermont - Tract 0035 in Chittenden Lounty (007) has three &CD's which are in the Burlington SMSA and two which are outside the SYSA.

vii

UNITED STATES DEPARTMENT OF COMMERCE Bureau of the Census 'Nasnmgron. 0.c 20233


Summary Tape File 3

User Note No. 2

_ Subject: Changes in STF 3 Technical Docomentation

Attached dre updated pages 41, 44, 51, 52, 73, 109, 173-174, 175, 178, and 230 to be inserted into your copy of the STC 3 technical documentation. After inserting t:?e ucdated pages, olease file this note in the appropriate location after page vii of the documentation.

Page

41

Information Updated

Change in Table 32. The cell for "In military barracks" has no data'and the military barracks population is included in the "Other in group quarters" cell.

44

51

52

73

109

173-174

175

178

290

Fcotnote 54 added to Table 81 and dropped from Table 34.

Chanaes in Footnotes 23, 25, 23, and 33.

Footnotes 55 and 56 are added.

Position 83-87 is char.ged Erom FILLER to :I? CODE.

Change in Table 32. See explanation above.

Changes in 7ootnotes 23,'25, and 28.

Change in Footnote 33.

Footnotes 55 and 56 are added.

In SCHOOL T'I?E definition, a caution note is added regarding colloqe ownership (public/ private) data.


Summary Tape File 3

User Note No. 3

. -

Subject: Changes in STF 3 Technical Documentation

.?

Attached are updated pages 50, 51, 172, 175, 261-262, 412, and 437 to be inserted into your copy of the STF 3 technical documentation. After inserting the updated pages, please file this note in the appropriate location after page vii of the technical documentation .

Page Information Undated

50 Footnote 12 has been modified.

51 Footnotes 33 and 35 have been modified.

172 Footnote 12 has been modified.

175 Footnotes 33 and 35 have been modified.

261-262 In the LASGLIAGE SPOKEN AT HOME definition, a caution note is added.

412 Change in definition of group quarters code 97.

437 Change in Note 1 and additional notes added to Appendix 87

In addition, users are reminded that delineators such as "town." "minor civil division," or "olnce" do not appear on STF 3 in the area name field (position 143-204). This information can be obtained from the political/statistical area description field (?csition 29).

UNl?‘ED STATES CEPARTMENT OF COMMEiXI Bureau of tss canrua Wasningczn. O.C. 20233

Cenkus of Population and Housing. 1980:

Summary Tape File 3

User Vote No. 4

Subject: Income Inconsistencies

An inconsistency has been found in the income data available on STF 3. Research Is currently underway to determine both the magnitude and geographic dispersion of the problem.

It appears that a small number of questionnaires were incorrectly coded resulting in en overstatement of income. Mean income, per capita income, a& aggregate income are most noti- ceably affected.

Once we have determined the estent of the problem, we~will decide if STF 3 corrections will be issued.

UNITED STATES DEPARTMENT OF COMMERCE Bureau of the Csnsus Wa*hinpton. O.C. X233


Summary Tape File 3

User Note No. 5

subject: Additional Information on Income Data

I" November 1982 we distributed User Note No. 4 which alerted users to a potential problem with the income data. Subsequent research indicates that only

approximately 0.5 percent of the estimated 300,000 enumeration districts and

block groups are affected by this problem.

Tbe attachment shows for states and counties the "umber of respondents whose

income wax corrected. Not all states were affected; therefore, this listing

includes only those states and counties for which corrections were made. Tbis

information is being provided to indicate the magnitude of the error for the

affected areas. The column headings on this list are described below:

column

Headings

ST

CN

POP

CHANGED

CASES

CHANGZD

WTCASE

CHANGED

PERCENT

AGGREGATE

CHANGE

PER CAPITA

NAME

Description

Federal Information Processing Standard (FIPS) state code.

FIPS county code. (This code is "0" for records containing

state figures).

The total population count of the kpecified area.

The number of ""weighted sample cases (individual respondents)

for which income was incorrectly coded.

The weighted (inflated) estimate of the number of individuals

whose income was incorrectly coded.

The percentage calculated when the figures in the column headed

"CHANGED WT CASE" are divided by the figures in the column

headed "POP."

The dollar amount by which the aggregate income of individuals

was corrected downward (this is always a negative correction).

The dollar amount by which the per capita income was corrected

downward (this is always a negative correction).

The name of the state or county.

The Bureau expects to decide shortly what type of corrective action is necessary

for STF 3 data products. Those decisions will be announced as soon as possible.

12/82

SlArE *,a Cao,," 1toxwE cHAtlGEo

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1 67

1 59

1 73

1 03

1 97

1 101

1 If7

STATE UI) toa", ~NCUIE CGUIGf¶

ST cw POP

7. 0 *a11151

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I IO 374431

t eo s3eos

I II0 1951a

L XSO VPlV

f 161 0350

f EGO ‘1‘7

a reo 7673

STATE Al0 CaNrY INcale MAtlGfs

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6 21

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101057

1800,

10350

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bob‘0

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37 I3

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37 29

37 33

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37 ?I1

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1% 715bW1 1901

DATE lt1,t.t

AWtEGAIE PER "AM CHANGE CAPIIA

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19 Q7

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39 03

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39 97

39 103

39 130

39 143

39 169

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19 176

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DATE 111752

AGGGEGAlE PER ClIAlhX CAPIIA

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DATE lt176t

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3.64 40 251 11020250

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DATE 111782

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DATE 121782

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DATE 121762

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UNITED STATES DEPARTMENT OF COMMERCE Ewemu of tll. CMSUS Waahinpton. O.C. 20233

census of Population and Housing, 1920s

summary Tape Pile 3

User Note No. 6

Subject: Mditional Information Concerning STF 3

m Flags: The STF 3 data dictionary indicates that the suppression flag fields (position 205-231) are coded zero when no suppression is present. Actually, these fields are blank when no suppression is present.

Aggregate Income Fields: Users should ba aware that negative numbers may appear in .vome of the aggregate income fields. l%sy appear nest frequently in the aggregate nonfarm self-employment and aggregate farm self-employment income fields in Table 72, however, they may also appear in other aggrsgats income fields, such aa aggregate family income, aggregate household incoms, and aggregate income. lhsse negative income cells will have a l -= in the leftmost position, followed by leading zeroes and the aggregate figure.

Variation in Population Count: Tns counts of psrsons in occupied housing units (Tables lOrand 104) willfar from other counts of persons not in group qur- ters on STF 3. The counts in Tables 100 and 104 are dsrivsd by ths product of the number of persons in the unit and the housing weight. The others reflect the actual weighted count of persons.

Not Computed Cells: I" Table 132, the cell labsled .Not computed" includes households with ze= negative income and units tabulated in the WY cash rent. cats- gory. I" Table 139, the cate+ry Wet computed. includes households with zero or negative income only in the first category, i.e. .Less than 5,000.. The "Not computed" category for the remaining income groups will be zsro.

12/82

UNITED STATES DEPARTMENT OF COMMERCE Bureau of the Census WashingCon. O.C. 20233


Summary Tape File 3

User Note No. 7

Subject: Correction and Reissuance of STF 3 Files

STF 3A and 3C have teen revised and reissued. The following is a brief explana-

tion of each subject area corrected on the revised files.

Income in 1979 - All income matrices in the affected areas have keen

corrected. Affected areas (i.e., EDs, BGs, tracts, places, etc.) can be identified by comparing Table 70 (Aggregate Household Income in 1979), the "total" from Table a4 (Aggregate Income in 1979 By Inmate Status) and

Table 141 (Aggregate Hougehold Income in !979 by Tenure) on the Original and corrected STF 3A files. Checking all three tables will ensure that

suppression of persons data, for example, doesn't mask changes in the

income data which do appear for households. Refer tc User Note 5 for

information on the amount of the differences in aggregate and per capita

income for the states and countiss affected.

The attached Data User News article (February 1983) further describes the

income problem and its relation to other 1980 census sample data products.

Language Spoken At Home -- The total number of pzrsons who speak a Language

other than English at home may be slightly less than the figure on the

original STF 3 (Table 27, Age by Language Spoken At Home and Ability t0

Speak English) because of corrections to the edit programs. NatiOnally,

this decrease amounts to about 0.3 percent; the number of persons rdxo

speak Spanish dropped by approximately 0.07 percent. There is no evidence

of significant geographic clustering of the revision.

Nativity -- Minor corrections to the computer programs .which edit the data

for dtizenship have resulted in slightly lower numbers of foreign-born

persons in the corrected version of STF 3 (Table 33, Nativity s.nd Place of airth). Nationally, the difference amounts to 372 weighted prsons and is

concentrated primarily in California, New York, and Texas.

Place of Work -- Correction of anomalies in the edit and allocation proce-

dure for place of work and residence in 1975 has resulted in changes +n

the data relating to the Richmond, Virginia and Petersburg-Colonial

Heights-Hopewell, Virginia SMSAs. The original STF 3 (Table 35, Residence

in 197%-SMSA tivel and Table 38, Place of Work--SMSA ~.evel) overstated

inmigration and outcommuting for the Richmond SMSA and understated these

for the Petersburg-Colonial Heights-Hopewsll SXSA; the revised STF 3 con-

tains corrected data.

poverty status in 1979 - Hinor differences between the pwerty stabls

tabulations (Tables 86 through 95) on the original STF 3 and those on the

revised STF 3 are possible because of the income revisions discussed

above. However, most income revisions did not affect the puberty sta+~.~s

classification.

Residence in 1975 - see "Place of Work" above.

Note: The revisions to STP 3 mean that some previously issued user notes

are no longer applicable. The section of User Note No. 3 which revises

the discussion on Language Spoken at Home on page 262 of the documentation

should t.e deleted. User Note No. 4 no longer applies; the last paragraph

of User Note No. 5 should be deleted.

TABLE OF CONTENTS

Census of Population and Housing, 1980: Summary Tape File 3

User Notes .............................................. " Part I --Information Specific to Summary Tape File 3

Abstract ................................................ 3 STF 3 File DeSCriQtiOn

File Structure and Geographic Coverage ............. 15 Calculations of Medians in STF 3 ................... 20

Suppression in STF 3 No SuQQression ..................................... 23 Primary Suppression ................................ 23 Complementary Suppression .......................... 24 Programming with Suppression ....................... 24 Evaluating the Effect of Suppression ............... 27

STF 3 Data Finder ....................................... 29 STF 3 Table Outlines .................................... 39 Bow to Use the Data Dictionary .......................... 53 Data Dictionary ........................................... 59

Part II --Information Applicable to Summary Tape Files l-5 Overview --1980 Census Summary Tape Program

Content and Geographic Coverage of Summary Tape Files ........................................ 181 1980 Census Yaps ................................... 184 Belevant Articles and publications ................. 187

STF 3 Technical Information ............................. 189 Glossary ................................................ 209 Questionnaire

1950 Census Sample Questionnaire Facsimile ......... 313 Appendix A--Geographic Coverage lithin Summary Level

STF 3A ............................................. 323 STF 39 ............................................. 325 STF 3C ............................................. 327

Appendix B--Code LiStS Bl--Code List for Race Entries of "Other ........... 329 B2--Code List for Entries of Languages Other

Than English SQOkf?n at Home ................... 333 B3--Code List for Ancestry Entries ................. 359 B4--Code List for Type of Group Quarters ........... 409 BJ--Industry Classification Codes .................. 413 BG--Occupational Classification Codes for

Detailed Occupational Categories .............. 421 B7--1980 Census Labor Force Status Categories ...... 437

ix

PART I

Part I contains information specific to Summary Tape File 3.

ABSTKACT

Census of population and Sousing, 1980: Summary Tape File 3 [machine-readable data file] / conducted Dy the U.S. Bureau of the Census. --Washington: Bureau of the Census [producer and distributor], 1982.

TYPE OF FILE:

Summary statistics.

LINIVhXSE DLSCKIPTION:

A11 persons and nousing units in the United States.

YLIBJECT-MATTER DESCRIPTION:

Tnis file primarily contains sample data inflated to represent the total population. In addition, tne file contains lo&percent counts and unweighted sample counts of persons and housing units. STF 3A, STF 38, and STF 3C have identical tables and format except for the omission of loo-percent counts for population and housing in STF 38. Population and housing items tabulated include the following:

Population *Household relationsnip *sex

*Hate *Age *Marital status *Spanish Origin Scnool enrollment Years of school completed Nativity and place of birth Language spoken at home and ability to speak English

Ancestry Kesidence in 1975 Labor force status in 1979 Veteran status and period of service

tiork disability status

Housing *Numoer of units at address *Complete plumbing facilities *Number of rooms *Tenure (whether owned or rented) *Vacancy status *Value for noncondominiums Rent Units in structure Stories in structure and presence of passenger elevator

Year structure built Year householder moved into unit Source of water Farm residence Sewage disposal Beating equipment House heating fuel Water heating fuel Cooking fuel

*loo-percent item from sample questionnaire.

3

Population Housing

Transportation disability status

Cnildren ever born Labor force status Place of work Travel time to work .tieans of transportation

to work Private vehicle occupancy

(carp001 arrangements) Industry Occupation Class of worker Number of weeks worked in 1979 Usual hours worked per week in lY7Y

Xumoer of weeks unemployed in lY'7Y

Income in lY79 Income type in 197Y Poverty status in 1979

Kitchen facilities Number of bedrooms Number of batnrooms Telephone in housing unit Air conditioning Number of vehicles available

(automobiles, vans, and light trucks)

Selected monthly owner costs (sum of payments for real estate taxes, property insurance, utilities, and regular mortgage payments)

Selected aggregates and medians are also provided. Data are presented in 150 tables displayed in the STF 3 Table Outlines beginning on page 3Y.

GEOGRAPHIC COVERAGE:

This abstract provides general information about the geographic coverage of STF 3. For detailed information about hierarchy and splits across higher levels of geography, see the section "File Structure and Geographic Coverage."

File A of STP 3 provides summaries for the State or State equivalent, counties or county equivalents, minor civil divisions (MCl)'s) or census county divisions (CCD's), places or place segments within %D's/CCD's and remainders of ltiCD's/CCD's, census tracts or block numbering areas (BNA's ), and block groups (BG's) or, for areas that are not block-numbered, enumeration districts (ED'S). These summaries are provided in hierarchical sequence. Summaries are also presented, on File A for places and congressional districts. (1980 congressional district data presented in STF 3 is for districts delineated for the 96th Congress.)

File B provides summaries for each .5-digit ZIP code area within a State, and for 5-digit ZIP code areas within State within standard metropolitan statistical areas (SMSA's? or portions of SMSA's within a-State, within county, county portion, -or county equivalent.

4

File C is also referred to as the National file. It has summaries for the following levels: TTnited States, census regions ( census divisions, States, standard consolidated statistical areas (SCSA's), standard metropolitan statistical areas (SMSA's), and urbanized areas (UA's). SCSA's, SMSA's, and UA's which cross State lines also have a record for the SCSA, SMSA, or UA portion within each State. Summaries are included for counties, places of 10,000 or more population, MCD's of 10,000 or more population in eleven selected States, and congressional districts.

TECHNICAL DESCRIPTION:

FILE SIZE:

STF 3A and STF 3B each comprise one file per State. STF 3C will be a single file for the Nation. Each file has a logical record length of 12,096 characters with six record segments of 2,016 characters each. The block size for the files varies with user specifications. A printout listing the block size and block count will be sent with each file.

FILE SORT SEQUENCE:

This file is sorted by level of geographic hierarchy. For a complete explanation, see the "File Structure and Geographic Coverage" section.

REFERENCE MATERIALS:

U.S. Bureau of the Census. "Census of Population and Housing, 1980: Summary Tape File 3 Technical Documentation" (this document). The documentation includes this abstract as well as additional information about the file and a data dictionary. One copy accompanies each file order. When ordered separately, it is available for $5.00 from Data User Services Division, Customer Services (Tapes), Bureau of the Census, Washington, D.C. 20233.

Metropolitan x Series/Vicinity & Series (!dMS/VMS). This map series provides coverage of densely settled areas of selected counties and county equivalents. These maps are referred to as the Metropolitan Map Series (YMS) when the maps cover S1dS.A areas and as the Vicinity Map Series (VMS) when the maps cover areas not in an SMSA. For a more detailed discussion of the MMS/VYS, see the section, "1980 Census Haps."

Maps. County The maps cover all counties and county equivalents except where the Metropolitan Yap Series/Vicinity ?dap Series (HMS/VYS) sheets cover an entire county. Most county maps are based on maps supplied by State transportation or highway departments on which the Bureau has superimposed boundaries and identifiers for most areas for which data are tabulated. There are inserts to county maps for some counties that contain

5

American Indian reservations. For a more detailed discussion on county maps and American Indian reservation maps, see the section, "1YSO Census tiaps."

Place -. Place maps are used for places not shown on MMSlV.WS and ShOW map features within the corporate limits of a municipality or within boundaries established for a census designated place (CUP). If census boundaries and identifiers for an area adjacent to a place are shown, the map is referred to as a place-and-vicinity map. For a more detailed discussion on place maps, see the section, "1980 Census Maps."

For information about the availability of the above maps, write or call Data ilser Services Division, Customer Bureau of the Census, Uashington, D.C. 20233.

Services (Maps), Phone: (301) 763-

41uu.

PHUJO-Hl. Users' Guide. This publication is a comprehensive guise to lY&U census data. It covers 1980 census subject content, procedures, geography, statistical products, limitations of the cata, sources of user assistance, notes on data use, a glossary of terms, and guides for locating data in reports and tape files. The guide is issued in loose-leaf form and sold in parts (al-A, -B, etc.) as they are prepared. Part A, Text is currently available from the Superintendent of Documents, U.S. tiovernment Printing Office, Washington, D.C. 20402. S/N OU3- UY4-03625-8. Price is $5.50.

PHCN-R3. Alphabetical Index of Industries and Occupations. The index features the respondent% industrv Gnloverls kind of business) and occupation (employee's kind-of‘workj"as in the 1986 Census Of Population, Current Population Survey, and other demograpnic surveys conducted by the Bureau of the Census. The index lists approximately 20,000 industry and 29,000 occupation titles in alphabetical order. It is a comprehensive list of specific industries and occupations developed over time and continuously updated through review of census and survey questionnaires. It is available from the Documents, U.S.

Superintendent of Government Printing Office, 'Washington, D.C.

20402. S/N OU3-U24-U2574-4. Price is $9.50.

PHC8GH4. Classified index

Index of Industries and Occupations. The -- presents, for each category in the industrial and

occupational classification system, the individual titles that constitute each of the 231 industry and 503 occupation categories in the classification systems. The individual titles are the same as those snow* in the Alphabetical Index. The 1980 occupation classification reflects the new U.S. Standard Occupational Classification (SOC). As in the past, the 1980 industry classification reflects the Standard Industrial Classification (SIC). It is available from the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. ZU‘MJ~. S/N 003-024-03575-2. Price is $7.00.

6

Monthly Product Announcement (HPA). New Census Bureau products released each month are listed in the MPA. These products include publications, technical documentation, datn- files, published maps, and microfiche. To be added to the mailing list, contact Data User Services Division, Customer Services (Publications), Bureau of the Census, Washington, D.C. 20233.

RELATED PRINTED REWRTS AND MICROFICHE:

Listed below are some of the products which are currently available or will be released. For a complete listing, see the 1980 Census Users' Guide. The products may be ordered from the Superintendent of Documents, U.S. Government Printing Office, Washington, D.C. 20402 unless otherwise indicated.

X80-1-A Number of Inhabitants. These reports are largely derived from STF 1 and contain final 1980 population counts and historic counts from previous censuses for States, standard consolidated statistical areas (SCSA's), standard metropolitan statistical areas (SUSA's), urbanized areas (UA's), urban and rural residence, counties, county subdivisions, incorporated places, and census designated places (and towns and townships in selected States). Reports are issued separately for the United States, each State, the District of Columbia, Puerto Rico, Guam, Virgin Islands, American Samoa, the Trust Territory of the Pacific Islands, and the Northern Mariana Islands.

PCSO-1-B General Population Characteristics. Data are derived from STF 2 and include statistics on household relatiOnShiD. acre. sex, marital status, race and Spanish origin for the foiiowrng areas or their equivalents: States, standard consolidated statistical areas (SCSA's), standard metropolitan statistical areas (SMSA's), urbanized areas , counties (by rural residence), county subdivisions, places (and towns and townships in selected States) of 1,000 or more inhabitants, American Indian reservations, and Alaska Native villages. These reports are issued separately for the United States, each State, the District of Columbia, Puerto Rico, Guam, Virgin Islands, American Samoa, the Trust Territory of the Pacific Islands, and the Northern Mariana Islands.

PCSO-1-C General Social and Economic Characteristics. In addition to selected subjectswhich are shown in the PCSO-1-B reports, statistics are presented on nativity, State or country of birth, citizenship and year of immigration for the foreign- born population, language usage and ability to speak English, antes try, fertility, family composition, type of group quarters, residence in 1975, journey to work, school enrollment, years of school completed, disability, veteran status, labor force status, occupation, industry, class of worker, labor force status in 1979, income in 1979, and poverty status in 1979. Each subject is shown for some or all of the following areas or their equivalents: States, counties (by rural snd rural farm residence), places (and towns and townships in selected States)

7

of 2,500 or more inhabitants, SCSA's, SMSA's, urbanized areas, American Indian reservations, and Alaska Native villages.

PCz30-1-D Detailed Population Characteristics. Statistics on population characteristics are presented in considerable detail and cross-classified ay aa, race, Spanish origin, and other characteristics. Each subject is shown for the State or equivalent area, and some subjects are also shown for rural residence at the State level. Most subjects are shown for StiSA's of 250,OUU or more inhabitants, and a few are shown for central cities of these SMSA's.

HC8U-1-A General Housing Characteristics. Statistics on units at address, tenure, condominium status, number of rooms, persons Per room, plumbing facilities, value, contract rent, and vacancy status are shown for some or all of the following areas or their equivalents: States, counties, county subdivisions, places (and towns and townships in selected States) of 1,000 or more inhabitants, SCSA's, SMSA's, urbanized areas, American Indian reservations, and Alaska Native villages. Selected tables contain housing, characteristics for urban and rural areas.

HC80-1-B Detailed Housing Characteristics. Some subjects included in the HC80-1-A renorts are also shown in this report. Additional subjects include units in structure, year householder moved into unit, year structure built, heating equipment, fuels, air conditioning, water and sewage, gross rent and selected monthly ownership costs. The statistics are shown for some or all of the following areas or their equivalents: States (by urban, rural-nonfarm, and rural-farm residence), counties, places (and towns and townships in selected States) of 2,500 or more inhabitants, SCSA's, S?dSA's, urbanized areas, American Indian reservations ana Alaska Native villages.

HCSU-2 Metropolitan Housing Characteristics. This volume Presents statistics in considerable detail and cross- classification for most of the lY80 census housing subjects. Llost statistics are presented by race and Spanish origin for areas with at least a specified number of the relevant population groups. Data are shown for States or equivalent areas, SMSA's and their central cities, and ot;ler cities of 50,000 or more inhabitants. There is one title for each SMSA, and one title for eacn State, the District of Columbia, and Puerto Rico. The U.S. Summary shows these statistics for the United States and regions.

PHC80-1 Block Statistics (Microfiche report). Data provided are derived from STF 1 and include final population and housing counts (totals) and statistics on selected characteristics based on responses to complete-count (lUO-percent) questions. Oata are shown for individual blocks in the blocked portion of each standard metropolitan statistical area (SMSA), places of 10,000 or more inhabitants outside of adSA's, and for areas which contracted with the Census Bureau to provide block statistics. There is one title for each SMSA with block-numbered areas within

the SMSA, and one title for each State with block-numbered areas outside of SMSA's. Block reports and maps on paper stock are availaole from the U.S. Government Printing Office, Washington, D.C. 20402. Microfiche paperprints of tne reports are available from Data User Services illvision, Customer Services (dicrofiche), Bureau of the Census, Washington, D.C. 20233.

PHCSU-2 Census Tracts. Data for selected population and nousing subjects derived from S'I'F 2 and STF 4 are shown by census tracts for standard , metropolitan statistical areas (SMSA's), central cities, component SMSA counties, selected nonSMSA places of

counties, and 10,000 or more inhabitants within SbfSA's and selected

counties. Some tables are based on lOGpercent or complete-count tabulations while others are based on sample tabulations. There is one report for each SMSA and one for the tracted balance of each State. Tract comparability tables are included in this publication. Yaps are also provided with the tract reports.

PhCSO-3 Summary Characteristics for Governmental Units and Standard Metropolitan Statistical ArG. This publicationserirs is derivea from STF 1 and STF 3 and shows selected population and housing statistics based on complete count and sampie estimate data for States, SMSA's, counties, functioning minor civil divisions (20 specified States), and incorporated places. There is one report for each State, the District of Columbia, and Puerto Rico.

HELATED MACHINE-READABLE FILES AND 1dICdOFICHE:

Listed below are some of the 1680 census data files which have been or will be released.

Census of Population and nousing, 1YdO: .- (SF'S)

- Summary a Files

STF 1 provides 321 cells of complete-count population and housing data. Data are summarized for the United States, regions, divisions, States, SCSA's, SMSn's urbanized areas, congressional districts, counties, county subdivisions, places, census tracts, enumeration districts in unblocked areas, and blocks and block groups in blocked areas. This file set includes data shown in the PHCSO-1, PHCSO-3, and PCSO-1-A reports. All State files have been released. Data from the STF 1A file are also available on microfiche.

STF 2 contains 2,2Y2 cells of detailed complete-count population and housing data, of which 662 are repeated for race and/or Spanish origin groups present in the tabulation area. Data are summarized for the United SCSA'S

States, regions, divisions, States, , urbanized areas, counties, county subdivisions, places of

1,OW or more innabitants, census tracts, American Indian reservations, and Alaska Native villages. This file set includes data ShOWn in the PHCSO-2, PCSO-l-6, and HCSO-1-A reports. Individual State files are being released as of February lY82.

9

STF 4 is the geographic counterpart of STF 2, but tile number of cells of data is approximately three times greater. S'PF 4 proviaes detailed population and housing data estimated from the sample, some of wnich are repeated for race, Spanisn origin, ancl ancestry groups. Data are summarized for areas similar to those shown for S'TP 2, except that data for places are limited to those with 2,500 or more inhabitants. This file set includes data shown in the PHCSO-2, PCdO-l-C, and HCSO-1-B reports. STF 4 is tentatively scheduled to "e available from mid to late 1982.

STF 5 contains over 100.000 cells of population and housing data estimated from the sample and provides highly detailed tabulations and cross-classifications for States, StiSA's, and counties and cities of W,OOO or more inhabitants. tiost subjects are classified by race and Spanish origin. This file set includes data show" in the PC&O-l-D and HCdO-2 reports. STF 5 is tentatively scneduled to be available from mid to late lY83.

Census of Population and housing, lYdU--!Jaster Area HeferellCe File ~,tiATF). An extractof STF lA, this file contains numeriz codes and names (where appropriate) of geographic areas plus selected complete-count population and housing data. All State files nave been released.

Census of Population and Housing 1980--P.L. YI-171 Population Counts. Theleased FebrGy/tiarch i981). The file, organized by State, provides counts for total population, and provisional counts for five racial categories and Spanish/Hispanic origin. Summaries are provided for the State, counties, minor civil divisions incorporated(*C~;~~es OrOr "",;::: .:;::;Jc, :;:~~~"";c"l$~:;s;; remainders of !tiCD's/CCD's. election precincts in c.ertain States or portions of certain States, census tracts or block numbering areas, block groups and blocks or, for areas that are not block numbered, enumeration districts (ED's). The figures presented in P.L. Y4-171 may differ from those shown in STF 1. The changes reflect corrections of errors fOU"U after P.L. 94-171 was prepared. lvlicrofiche (and paper photo copy of !microfiche) of tne P.L. Y4-171 Population Counts file is also av~ailable.

FILE AVAILABILITY:

STF 3A is arranged so that tapes for individual States or State equivalents can be purchasea separately. Tapes are available at 16O)o bpi or 6250 bpi, B-track, at a cost of $140 per reel. If data for more tna" one State are stacked on a single reel at a customers request, the cost is $lti5 per reel. For information on the number of reels and release date for each State, subscribe to tne Montnly Product Announcement (MPA). The WA is available witnout charge and may oe ordered using the Customer Services order form for publications on page 13.

10

STY 3Y was originally part of the Census Bureau's lY230 program, but bud&et cutbacks forced cancellation of these plans. Since this cancellation, the Bureau signed a contract witn National Planning Oata Corporation (NPDC) of Ithaca, New York to prepare S'l-F 38 as a special tabulation. During the first 18 months following the release of each State file, users may discuss purchasing the file from NPDC. After eighteen months, the Yureau will sell tne file as a standard public use computer tape.

STY 3C is a national file which will be issued as a single file when STF 3A is completed.

STF 3 can be ordered using the Customer Services order form for tapes. When ordering from the Bureau, please refer to file number Cu SUnd SO OlOA for STF 3A, Cu SUM SO OlOB for STF 3B. and Cu SUiti 80 OlOC for STF 3C. Please indicate tne name of the State(s) when ordering STF 3A and STF 3B.

S'TF 3A will also be available on microfiche. Information on availability and number of fiche per State will oe provided in the MPA or can be obtained from Customer Services Branch (301) 7ti3-4100.

11

STF 3 FILE DESCRIPTION

Summary Tape File 3 (STF 3) is one of a series of summary data files availaole from the lY8U census. The file corresponds to the 1970 Fifth Count file and is composed of three parts -- STF 3A, STF 38, and STF 3C. File STF 3A is tentatively scheduled for release on a State-by-State basis in mid 1982. STF 36 will be released on a State-by-State basis first to National Planning Data Corporatioo (XPDC) which is funding the special tabulation. The file will be sold by NPDC for 18 months after which the file will be sold by the Census Bureau as a standard public use tape. STF 3C will be issued after all STF 3A and STF 3B files have been released.

File Structure and Geographic Coverage -

For each geographic area there will be a lX,UYd-character census logical record. Because of its large record size, STF 3 is divided into six segments of 2,016 characters each with each. These segments are identified within the geographic identification section repeated for each segment.

The first segment of each census logical record begins with 252 characters of geographic information and the suppression flags, while each subsequent segment begins with 102 characters of geographic information.

The record segments were arranged so that individual tables do not cross segment boundaries. Because of this, most segments have some Padding at the end. The following chart illustrates the segmentation on STF 3. For a concise description of the geographic coverage of each file in STF 3, see Appendix A.

STF 3 Segment Arrangement

Segment No. -

No. of Chars. (Geography)

1 252 2 102 3 102 4 102 5 102 6 102

No. of Chars. Tables ITables)

1-19 1,476 20-47 1,663 48-71 1,911 72-101 1,887 102-128 1.890 129-150 1,389

NO. of Chars. IPadding)

Total Chars.

288 2. U16 51 2,016

3 2,016 27 2.016

0 2,016 477 2,016

Total 762 l-150 10,416 918 12,096

File STF 3A. This file contains summary level data which follow a geographic hierarchy. In File A, block groups (BG's) or enumeration districts (ED's) are nested within a tract, block numbering area

15

(dNA). or tract/BNA segment which in turn is sequenced within a place, place segment, remainder of MCD or remainder of CCD, then within a minor civil division (MCD) OP census county division (CCL)), and within a county or county equivalent. Data summaries *l-e presented at each level. When a level of geography is split ac1‘0ss the next higher level, only the portion within the higher level will be show" on the summary. For example, if tract 0001 is split between place 0005 and 0010, the summary for the portion in place 0005 will appear in the hierarchy with the place 0005 summaries while the portion in place 0010 will appear with the place 0010 summaries.

Place 0005 Tract 0001 (part) : Block group 1 : Block group 2

Tract n Place 0010

Tract 0001 (part) Block group 3

In addition, place and congressional district summaries are presented separately from the hierarchically organized summaries. Each summary is identified by a summary level code in positions lo-11 of the record as well as at the beginning of each segment. Figure 1 outlines the specific geographic hierarchy in STF 3A. Each indentation indicates the next lower level of the geographic nierarschy. Following Figure 1 is a discussion of each summary level in the hierarchy.

Figure 1. Geographic Hierarchy of STF 3A

State or State equivalent

County or county equivalent

&linor civil division/census county division (MCD/CCD)

Place or place segment within MCD/CCD or remainder of KD/CCD

Census tract or block numbering area (BNA) OP untracted segment, within place, place segment, or remainder of ?.KD/CCD

Block group (BG) or BG segment or enumeration district (ED)

Place


The State record (Summary Level 04) contains a summary for the State or State equivalent.

16

File STP 3D. This file contains summary level data which follow the -- geographic hierarchy indicated in figure 1 below. Records are shown for the State, a congressional district, then all counties within the congressional district. All county records are followed by records for all places of 10,000 or more within the congressional district and then by minor civil divisions (MCD's) with a population of 10,000 Or more, in 11 selected States, within the congressional district. When a county, place, or MO is split between two or more congressional districts, the summary record for a county, place, or YCD contained within each of the congressional districts geographic hierarchy will show only the data for that portion contained within the congressional district.

Figure 1 below outlines the geographic hierarchy. Following Figure 1 is a discussion of each summary level in the hierarchy.

FIGURE 1. Geographic Hierarchy of STF 3D

State


County or county equivalent or portion of county

Places of lO,OOO+ or portion of place

MCD's of lO,OOO+ or portion of MCD (11 selected States)

The State record (Summary Level 04) contains a summary for the State or State equivalent. I

The Congressional District record (Summary Level 33) contains a summary for each congressional district within the State according to the congressional district boundaries established for the 98th Congress.

The County record (Summary Level 37) contains a record for each

county or county equivalent, including independent cities, or portion of a county, county equivalent, or independent city located within each congressional district.

The Place record (Summary Level 38) contains a summary for each place with 10,000 or more inhabitants, as published in the 1980 census, or portion of a place, located within the congressional district.

The MCD record (Summary Level 39) contains a summary for each county subdivision (minor civil division) with 10,000 or more inhabitants, as published in the 1980 census, or portion of such an WCD, located within the congressional district for 11 selected States.

16A

This page is intentionally blank.

-.

The county record (Summary Level 11) contains a summary for each county or county equivalent, including independent cities, Within the State in FIPS code sequence.

The minor civil division (MCD)/census county division (CCD) record (Summary Level 12) contains a summary for each MCD/CCD within the county in census code sequence.

The place or remainder of MCD/CCD record (Summary Level 13) provides a summary for each place within an MCD/CCD in place code sequence. These may be places or, when places cross UCD/CCD boundaries, portions of places. A remainder of MCD/CCD record will be generated only if there is a place in the MCDJCCD. This record will cover all areas outside of places and will have a pseudo place code of Y999.

The combination of census tract/block numbering area (BNA) or untracted remainder of MCDfCCD (Summary Level 14), and block group :g;) sJ;;;;:";Y Level 15) or enumeration district (ED) (Summary Level *. will vary according to the situation. The four

situations are as follows:

Census tract or block numbering area (BNA)/block group (BG) L/ - When a census tract or BNA is entirely block numbered, a summary is shown for each tract/BNA or tract/BNA portion within UCDJCCD and place; place segment, or remainder of KDJCCD, and for each block group or block group segment within tract/BNA or tract/BNA portion.

Census tract/ED l/ - Wnen the area is tracted but contains no blocks, a summary Ts shown for each tract or tract portion within MCD/CCD and place, place segment, or remainder of MCD/CCD, and for each ED within tract.

Not Tracted/ED - When an area is not tracted or not within a BNA, a summary is shown for each ED within the MCD and place, place segment, or remainder of :XCD/CCO. A pseudo-tract code of 999999 will appear in the tract code field.

Census tract/B&ED L/ - When a tract is partially block numbered, there will oe a mixture of BG and ED summaries for the tract or the tract portion within MCD/CCD and place, place segment, or remainder of MCD/CCD. BG summaries will precede those for ED's in this situation.

The place total record (Summary Level 27) provides a summary for each place within the State. The place records are arranged by census place code.

l/When a tract, block numbering area, or block group crosses a place, MCD, or CCD boundary, there will be separate summaries for each portion within the higher-level entities. No totals for split tracts, BNA's, or block groups are provided.

17

The congressional district summary (Summary Level 33) contains summaries for each congressional district within the State arranged in numeric sequence. These are the congressional districts designated for the 96th Congress.

File STF 3B. As witn STF 3A. each logical record summary of STF 33 is identified by a summary level code in positions 10-11 of the first segment as well as at the beginning of each segment. #hen the level of geography is split across the next higher level, only the portion witnin the higher level of geography will be shown. (See example on STF 3A description above.) The geographic hierarchy for STF 3B appears in Figure 2.

Figure 2. Geographic Hierarchy of STF 3B

j-digit ZIP code within State

j-digit ZI? code within State, within S'WA, within county

STF 3B has records for each S-digit ZIP code within a State in numeric order (Summary Level 35) followed by records for j-digit ZIP codes within a State arranged in numeric order by SMSA or portion of S.&s A ) tnen county or county equivalent or portion of county or county equivalent (Summary Level 36).

File STF 3C. ---

Tnis file is essentially a national file which wiil be issued only after $TF's 3A and 38 have been released for all States. The geograpnic hierarchy for this file is shown in Figure 3 below.

Figure 3. Geographic Hierarchy of STF 3C

United States negion Division State or State equivalent SCSA

SCSA part within State SMSA

YMSA part within State Urbanized Area

UA part within State State-County or county equivalent State-Places of lO,OUU+ 'State-MCU's of lO,UOU+ State-Congressional districts

*This summary available for eleven States. see explanation in descriptive section which follows.

18

The United States summary (Summary Level 01) provides * summary for the United States. (50 States and the District of Columbia).

The region summary (Summary Level 02) has a summary for each of the four census regions in the United States.

The division summary (Summary Level 03) has a summary for each of the nine census divisions in the United States.

The State summary (Summary Level 04) has a summary for each State or State equivalent in ascending PIPS State code sequence.

The standard consolidated statistical area (SCSA) summary (Summary Level 05) has a summary for each SCSA in the United States in ascending SCSA code sequence.

The YCSAlState summary (Summary Level 06) is a summarys;;: '2: portion of the SCSA in each State in which a multi-State located. Tnese are arranged in ascending FIPS State code within SCSA code sequence.

The standard metropolitan statistical area (SMSA) summary (Summary Level 07) provides a summary for each SMSA in the United States in ascending SMSA code sequence.

The SMSA/State summary (Summary Level 08) provides a summarv for the portion of the SMSA in each State in which a multi-State S:ISA is located. These summaries are arranged in ascending FIPS State code within S1tiS.A code sequence.

The urbanized area (VA) summary (Summary Level 09) contains a summary for eacn UA in the United States in ascending UA code sequence.

The UA/State summary (Summary Level 10) provides data for the portion of the UA in each State in which the multi-State UA is located. These are in ascending FIPS State code within UA code sequence.

The State/county summary (Summary Level 11) provides a summary for each county or county equivalent, including independent cities, in the United States. These are arranged by FIPS county code within FIPS State code.

The State/place summary (Summary Level 27) provides a summary for all places of 10,000 or more population within th.e United States. These are arranged by census place code within FIPS State code.

The State/MCD summary (Summary Level 28) provides a summary for WD's of 10,000 or more population within 11 States. The sequence is by MCD sequence number within FIPS State code. The 4-digit \ICD number differs from the 3-digit MCD code by identifying MCD's in alphabetic order within State. The 11 States are as follows:

Connecticut Maine Massachusetts Michigan

New Hampsnire New Jersey New York Pennsylvania

19

Rhode Island Vermont Wisconsin

The congressional district summary (Summary level 33) contains a summary for each congressional district in the United States in congressional district number sequence within FIPS State code.

Calculation of Medians in STF 3 - ---

Calculation of median values is done using a continuous distribution with the whole number as the mid-point of the class interval. However, if the median falls within the upper or lower interval, it is set to a specified value. Listed below in Figure 4 are the upper and lower intervals for each median in STF 3 and the median value set when it falls within that interval.

Figure 4. Upper and Lower Intervals for Computation of 'Median Variables in STP 3

I. MEDIAN HOUSEHOLD AND FAMILY INCOME

Value Description

Less than $2,500 Median household and family income is less than S2,SOO. Median is set at $2,499.

$75.000 or more Median household and family income is greater than $75.000. Median is set at $75,001.

II. MEDIAN INCOME (Unrelated Individuals)

Value Description

Less than $1,000 Median income is less than Sl,OOO. .tiedian is set at $999.

$50,000 or more Median income is $50.000 or more. Median is set at $50,001.

III. MEDIAN GROSS KENT

Value

Less than $60

Description

Median gross rent is less than $60. Median is set at $5Y.

$500 or more Median gross rent is $500 or more. Median is set at $501.

20

.

IV. tiEDIAN SELECTELI MONTHLY OWNER COSTS (With a mortgage)

Value Description

Less than $100 Median selected monthly costs for mortgage holders are less than $100. Median is set at $99.

$750 or more Median selected monthly costs for mortgage holders are S750 or more. Median is set at '$751.

V. ,tiEDIAN StiLECTtiU MO!iTtILY OWNER COSTS (NO MORTGAGE)

Value

Less than SSU

Description

Median selected monthly owner costs (no mortgage) are less than 330. Median is set at $49.

Median selected monthly costs for mortgage holders are $250 or more. Median is set at $251.

21

SUPPRESSION IN STF 3

To maintain the confidentiality promised respondents and required by law, the Census bureau takes precautions to make sure that its public data, in print or on tape, do not disclose information about particular individuals or housing units; therefore, the Bureau suppresses tabulations of characteristics for very small groups of people or housing units. On summary tapes, zeroes are entered in suppressed cells. Flag fields which indicate suppression are shown on each record. However, a zero in a cell does not automatically mean suppression. Only by checking the suppression flag can it be deTermined if the zero in a specific table is suppressed data or an actual count of zero.

This discussion outlines the rules for suppression of sample data, how its occurrence can be identified by the user, and how to handle it.

2 Suppression

The following counts will never be suppressed:

Total population Total housing units Seasonal/migratory housing units Year-round housing units Occupied housing units Vacant year-round housing units Count of persons and households for each race or Spanish origin group

Prima= Suppression

Suppression of Population Characteristics. Characteristics of persons otner than race or Spanishorigin (e.g., age, relationship) are shown only if there are 30 or more persons in the geographic area. For example, on a record for a census tract with a population of 1 to 29 persons, population characteristics such as age and relationship are suppressed. Only counts for total population and the number of persons within specific race or Spanish origin groups are provided.

However, when the geographic area being summarized has 30 or more persons, no suppression of population characteristics will occur except possibly when tables are further cross-classified by race or Spanish origin. The rules for this type of suppression are outlined below in Suppression of Tables Cross-Classified by Race or Spanish Origin.

Suppression of Year-round Housing Characteristics. Characteristics of year round housing units which are not classifiedby occupancy status (e.g.. number of POOrnS, plumbing facilities, etc.) are suppressed onlv when there are fewer than ten year-round housing units in the geographic area being tabulated regardless of the number of occum housing units or the number of persons.

-.

23

3uPpression Of Family, Household, Or -- Characterisxics, families,

occupied Housing Characteristics of households, or

occupied nousing units are shown if tnere are ar least ten occupied housing units witnin tne geographic area Tabulated.

juppressiom of Owner or Kenter Characteristics. distributions of -- -- Java for owners or renters are shown only wnen tne number of owners is at least ten and r.ne number of renters is also at least ten.

Suppression of Tables Cross-Classified by Kate or Spanish Origin. Population anThousing characteristics cross-classified by race ol- Spanish origin are sunject to an additional level of scrutiny. This level requires the 30 person or ten household criteria stated above De applied to eacn race or Spanish origin group.

Individual cells of data for specific race or Spanish origin groups are not suppressed when there are 30 or more persons of that group in a geograpnic area unless required by complementary suppression.

'rhe Population and housing suppression criteria are applied independently of one another. For example, if there are 32 'White persons nux only eight households with tihite householders, the person characteristics will be ShOWn, but the family, household, and housing cnaracteristics will ne suppressed.

Complementary Suppression

In some cases complementary suppression is applied to prevent rhe derivation of suppressed data by suntraction. For instance, when a cable shows the number of persons in unit for all households and also for renters, tnere must be at least ten owners and ten renters for tne renter data to be shown; otnerwise, the characteristics of the owners could be derived by subtracting renter data from dafa for a11 nousenolds.

Proyramming witn Juppression

Suppressed data cells contain zeroes. To distinguish between zeroes as suppression and zeroes as valid data, occurrences of suppression are identified by a series of flag fields in the geographic identification portion of eacn logical record. Programmers developing software snould include procedures to check tnese fields for the presence of suppression and, if necessary, to flag the output of any cumulation which includes one or more suppressed fields.

I" reviewing the data dictionary, the programmer can determine which suppression flags indicate suppression for particular tables by cnecking either tne tanle description or the flag description. An example of each follows.

Example: The boxed illustration on the following page is the table description as it appears in the data dictionary. The next portion illustrates the suppression flag to wnich the table description refers.

24

TASLE 133 CONTRACT RENT (26)

SUPFLGl5 applies to all cells ---

SUPFLG15 Owner Occupied Housing Unit Suppression Flag A 1 in this field indicates suppression because there are fewer than ten owner-occupied housing units in the geographic area being summarized or complementary suppression is applied. It will affect the following tables:

133 134 137-140

0 No suppression 1 Suppression

Figure 7 below, lists each suppression flag, its location within the record, and the tables or cells within tables which are affected when suppression is applied. The suppression flag field which applies to each table or portion of a table is also identified in the table description in the data dictionary. The flags are located in the geographic identification section of each record in positions 205- 236.

Name

SUPFLGOl

Figure 7. Suppression Flags

Begin Table

205 15, 19, 22, 24-44, 45 (cells l-4), 47, 48 (cells l-5). 50-54, 55 (cells l-H), 57-61, 62 (cells l-2), 64-67, 81-85. 89-90, 91 (cells l-2), 93-95, 100, 104

SUPFLG02 206 16 (cells l-lo), 45 (cells 5-S), 48 (cells 6-lo), 55 (cells g-16). 62 (cells 3-4), 91 (cells 3-4)

SUPFLG03 207 16 (cells 11-20). 45 (cells 9-12). 48 (cells 11-15). 55 (cells 17-24), 62 (cells 5-6). 91 (cells 5-6)

SUPFLG04 208 16 (cells 21-30), 45 (cells 13-ld), 48 (cells 16-20), 55 (cells 25-32), 62 (cells 7-8), 91 (cells 7-8)

SUPFLG05 209 16 (cells 31-40). 45 (cells 17-?0), 48 (cells 21-25). 55 (cells 33--l:)), 62 (cells g-10), 91 (cells 9-10)

25

SJPFLCOG

SUPFLGO7

SLiPFLGO8

SUPFLGOS

SUPFLGLO

SUPFLGll

SUPFLGl2

SiJPFLS13

SUPFLG14

SUPFLGl5 219

SUPFLGld 220

SUPFLGl7 221

SUPFLG18 222

SUPFLti19 223

StiPFLG20 224

StiPFLG21 225

SUPFLG22 226

210

211

212

213

214

215

216

217

218

17, 46, 49, 56, 63, 92

101, 102 (cells l-6). 105-108, 109 (cells l-7). 111, 115, 116 (cells l-6) 9 117 (cells l-4), 120

9, 18, 20 (cells l-7). 23. 68-74, 77 (cell l), 79, 80, 86-88, 97 (cell 2). 102 (cells 7-12), 109 (cells 8-14), 110 (cells l-6), 112-114, 116 (cells 7-12), 117 (cells S-8), 118 (cells l-2), 119, 121 (cell l), 123, 141 (cell l), 142, 143 (cell l), 145 (cell 1). 147 (cell l), 149 (cell 1)

20 (cells 8-14), 75 (cells l-9), 77 (cell 2), 98 (cell 6), 121 (cell 2). 143 (cell 2), 145 (cell 2), 147 (cell 2). 149 (cell 2)

20 (cells 15-21), 75 (cells lo-16 77 (cell 3), 98 (cell 7), 121 (cell 3), 143 (cell 3), 145 (cell 3) 147 (cell 3). 149 (cell 3)

20 (cells 22-28). 75 (cells 19-27 .

77 (cell 4), 98 (cell 8), 121 (cell 4), 143 (cell 4). 1‘45 (cell 4) 147 (cell 4), 149 (cell 4)

20 (cells 29-35), 75 (cells 28-36), 77 (cell ?I), 98 (cell 9), 121 (cell 5), 143 (cell S), 145 (cell 5), 147 (cell 5), 149 (cell 5)

98 (cell 10)

21, 76, 78, 99 (cell 2), 122. 144, 146, 148, 150

133, 134, 137-140

135 (cells l-6)

135 (cells 7-12)

135 (cells 13-18)

135 (cells 19-24)

136

124, 127-132

125 (cells l-5)

26

SUPFLG23 227

SUPFLG24 226

SUPFLG25 229

SUPFLG26 230

SUPFLG27 231

Evaluating _ the Effect of Suppression

125 (cells B-10)

125 (cells 11-15)

125 (cells 16-20)

126

102 (cells 13-la), 109 (cells 15-21), 110 (cells 7-12), 116 (cells 13-lS), 117 (cells g-12). 118 (cells 3-4), 141 (cell 2)

In most c*ses ( suppressed data values are small (fewer than 10 or 30) except where a large population is affected by compleaentary suppression. Therefore, in certain noncritical applications, users may simplify programming operations by ignoring suppression and treating suppressed cells 8s zero cells. However, when geographic entities are being summed to higher levels or new geographic areas are being created, suppression will usually result in a downward bias in the totals.

27

STF 3 DATA FINDER

ITEM TABLE NUMREH

lW-Percent Count Of Housing Units (Including Vacant Seasonal And irligratory Units)

(See Vacant Seasonal And Migratory Units)

lo&Percent Count Of Persons

Ability to Speak English (See Language Spoken At Home And Ability To Speak English)

Age 15-17, 27, 30, 31, 35-67, 61-84 ( 66-90, 93, 94, 119

Age Of Householder Age Of Own Children Age Of Related Children Females 15 To 44 Years Females 16 Years Gld And Over Persons 3 Years Old And Over Persons 5 Years And Over Persons 15 Years And Over Persons lti Years And Over Persons lti To 19 Years Old Persons lti To 64 Years Persons 18 Years And Over Persons 25 Years Old And Over Unrelated Individuals 15 Years And Over

workers 16 Years And Over

Aggregate Contract Rent

Aggregate Contract Rent And Rent Asked (See Also Contract Rent and/or Rent

Asked)

Aggregate Family Income In 1979 (See Also Family Income In 197Y)

Aggregate Gross Rent (See Also Gross Rent)

Aggregate Household Income In 1979 (See also Household Income In

1979)

Aggregate Income In lY7Y (See Also Income In lY7Y)

ua, 89, 119 57 86, 87 30, 31 57 44, 45, 46 27, 34, 35 26, 84 51, 52, 54-56, 47 53 50 48, 49

61-83 36-43

12Y

12Y

77, 78, 80

128

70, 72, 141

U3, 84

29

ITEM

aggregate Numaer

Aggregate i\(umaer :Jsrried-Couple

.i~gre;;ate Ho01n.s

Of Children Ever Born

Of Own Children In Subfamilies

Aggregate Selected itionthly Owner Costs (See Also Selected Monthly Owner Costs)

Aggregate Travel Time To Work (In Minutes) (See Also Travel Time To work)

Aggregate Value

Aggregate iVeeks Unemployed In 1979 (See Also iVeelcs Unemployed In 197Y)

Aggregate tieeks Worked In lY7Y (See Also iYeeks Worked In lY7Y)

Air Conditioning

Ancestry

tiedrooms

Cnildren (See Own Children, Presence And Age

0f Own Children, Presence And Age Of delated Cnildren, and/or Presence Of Own Children)

Civilian Persons (See Persons, Civilian)

Civilian Veterans (See Persons, Civilian Veterans and Veteran Status)

Contract dent

CooKing Fuel

timployed Persons (See Persons, Employed)

Families (See also Householder of Spanish Origin, i+lces,

Householder of Specified and/or Subfamily Type)

30

TABLE NUMBER

31

24

1Ul

137

42

140

64

60

120

28, 29

117

116

67

129

113

9, 73-8U3, 8648

ITEM

Families With One Or more Related Children

Family Income In lY7Y

Family Type

Farm Residence (1970 Census Farm Definition)

Farm Residence (Current Farm Definition)

Females With One Or More Own Children

Gross Rent

Gross Rent As Percentage Of Income

Heating Equipment

House Heating Fuel

Household Income In lY7Y

Household Relationship And Age

.--. iiousenold Type (See Also Housenold Type And Relationship and/or Relationship)

dousehold Type And Relationship (See Also Household Type and/or Relationship)

klouseholder Of Spanish Origin

Householder of Specified gates

Householders, Nonfamily

Householders Of Selected Age Groups

Housenolds (See Also Housing Units, Year-Round)

household Income In lY7Y

Households with Income In 197Y

dousing Costs (See inortgage Status And Selectea !ulonthly Owner Costs)

TABLE NUMREK

87

73-78, 80

22, (16

8

7

57

124-128. 132

132

111, 142

112

6&-70, 72. 132, 13Y, 141

Y4

20, 21

1Y

21, 76, '78, Y9, 122, 12ti, 144, 14ti, l?d, 150

75, 125, 135

89

119

10, 18, 20, 21, 68-70

m-70

71, 72

136,

31

IT&i

liousin:: Units (Including Vacant Seasonal And wigratory Units)

riousing Units, Year-Hound

Occupied

Specified Owner-Occupied Noncondominium

Specified Renter-Occupied

Vacant (See Also Housing Units

[Including Vacant Seasonal And Migratory Units] and/or Vacant Seasonal And &ligratory Units)

Vacant-For-Kent

Income In 1979 (See Also Family Income In 1979 and Household Income In 1979)

Income Type In 1979

Industry

Innate status

Kitchen Facilities

Labor r'orce Status

Labor Force Status In 1979

Lacking Central Heating Equipment (See Also Heating Equipment)

Language Spoken At Home And Ability To Speak English

Marital Status

'deans of Transportation To Work

\!ledian Family Income In 1979 (See Also Income In 1979)

.redi;rn Gross Rent (See Also tiross Hent)

TAHLE NUMBEH

4, 5, 6

11. 101, 102, 105-109, 111, 115-117, 120, 129, 130

97-100, 104, 110, 112-114, 11S 119, 121-123, 141-130

133-140

124-132

Y6

129, 130

68-70, 72-78. 80-85

71, 72

65

84, 85

115'

47, 55-57

5d

149, 150

27

26, 30

40

74

127

32

ITEa

-.

median Household Income In lY7Y (See Also Income In lY7Y)

&dian Income In lY7Y (See Also Income In 1979)

!dedian Selected Monthly Owner Costs

Mortgage Status

Mortgage Status And Selected Monthly Owner Costs

Mortgage Status And Year Householder ikloved Into Unit

?iativity And Place Of Birtn

Aoninstitutional Persons

Number Vf Children Ever Born

Xumber Of Own Children In Married- Couple Subfamilies

Occupancy status (See Also Tenure And Occupancy Status)

Occupation

Occupied housing Units With No Vehicle Available

Own Children

Owner-Occupied Housing Units (See Housing Units, Year Bound)

Passenger Elevator

Paying Cash Rent

Per Capita Income In 1979 (See Also Income In 1979)

Period Of Service

Persons (See Also Age)

Persons 3 Years Old And Over Enrolled In School

Persons, Civilian

33

TAgLE NUHHEH

69

a2

134

134

133, 135, 136

137, 138

33

53, 54

31

24

11, 12Y, 130

66

121, 122

22. 57

106

127-130

a5

52

1, 2, 3, 7, M), 12-19. 15, 25, 28, 29. 32, 33, 44-4ti, 51-54, 56, 5947, 65, 91-95, lw, 104, 142

44-46 51

ITEM --

Persons ( Civilian Veterans Persons ( Employed persons For Wnom Poverty Status Is L)etermined

Persons In Group Quarters Persons In Families, Excluding Householders

Persons In Household Persons In Occupied Kousing Units Persons In Hural Areas Persons In Selected Multiple Ancestry Groups

Persons In Sunfamilies Persons, Noninstitutional Persons Of Spanish Origin' persons 01' SPecified Kaces Persous ?er Hoom Persons tit10 #orKed In 1979 persons tiith Unemployment In 1Y7Y

Place Of rork--Place Level

Place Of work-GAinor Civil Division Level

Place Of Work--SMSA Level

Place df Work--State And County Level

?lumbing Facilities (Complete) For kxclusive Use

Poverty Status In 197Y

Presence And Age Of Uwn Children

Presence And Age Of Kelated Children

Presence Of Own Cnildren

Private Vehicle Occupancy

Puolic Transportation Disability Status

Kate

KaCe Of Kouseholder

TstiLE NU?.tYEH

52 ti5-67

91-93, 95 32

94 18 100, 104 7, 6

2Y 25 53, 54 14. 17, 46, 49, 56, 63, Y2 16 142 5Y, 60 til-64

37

3Y

36

36

142-150

86-95

57

8ti, d7

2u, 21, 23

43

54

12-14, 16, 45, 4S1. 55, d2, '75, 91

20. 77, 98, 121, 125, 135, 143, 145, 147, 149

Helationship (J'ee Household KelatiOnSnip, douse-

hold Type And Kelationsnip, and/or Household Type)

34

ITEM

Kent Asked

Renter-Occupied Housing Units (See HOuSing Units, Year Round)

Kesidence in 197%-Stats And County Level

Residence in 1975--SlbSA Level

Room Density

Hooms

School Enrollment

Selected Monthly Owner Costs (See Mortgage Status And Selected Monthly OWnsr COStS)

Selected dlonthly Owner Costs As Percentage Of Income

Sewage Disposal

Sex

Source Of Water

Spanisn Origin (See Also Persons Of Spanish Origin)

Specified Owner-Occupied Noncondominium Housing Units

(See Housing Units, Year Bound)

Specified Renter-Occupied Housing Units (See Housing Units, Year-Round)

Stories In Structure

Subfamily Type

Telephone In Housing Unit

Tenure (See Also Tenure And Occupancy Status)

Tenure And Occupancy Status

Travel Time To Work

Type Of Group Quarters

TABLE NUMBGR

129

34

3s

147, 148

101

44-47

139

108

15-17, 26, 51, 55, 56. 56-60, ti2-64

107

13

105

23

116, 119

97-100, 104, 110, 118, 141

102, 109, 116, 11'7

41, 42

32

35

ITEd

Value

Vehicle Available (ziiee also Occupied Housing Units IYith No Venicle Available)

Veteran Status

later Heating Fuel

tieeks Unemployed In 1979

tieeks Worked In ld7Y

Work Disability Status

tiorkers In Family In lY7Y

ior~ers Living In The Y Northeastern States

WorKers who Did Xot Nork At Home

36

TABLE NUMBEK

61-64

102-104

Unemployment In 197Y

Gnits In Structure

inrelated Individuals (See Age)

Unrelated Individuals For Whom Poverty Status Is Determined YO

Unweighted Sample Count Of Housing Units (Including Vacant Seasonal And .iligratory Units) 5

(See Also Vacant Seasonal And Migra- tory Units)

Gn*ei&nted Sample Count i)f Persons 2

ilrban And Rural 1, 4

Usual Hours Worked Per Week In lY79 5Y

Utilities In Kent 131

Vacancy Status Y6

Vacant Seasonal And Migratory Housing Units 103

(See also Housing Units, Including Vacant Seasonal And %igratory Units)

140

123

51

114

61, 64

553, 60

53

7Y, 80

353

‘41. 42

__

ITEm TABLiX NUMBER

Workers Who Travelled To Work By Car, Truck, or Van

Year Householder ttdoved Into Unit 110, 137, 138

Year Structure Built lOY, 142. 145, 146 (See Also Occupied Housing Units With kiouseholder Of Spanish Origin With Complete Plumbing Facilities For Exclusive Use And Year Structure Built lY39 Or Earlier)

Years Of School Completed 47-50

37

sr?3TmJlunu=3

l2. Em (17) (171

uni-: ma

19. HaJmaD lYP% AND F6lATIcNsHIP (9) (91

21: mJmiaD TlpE Am FfmFxS OF cm aIIlmN (7) g 171

!~rr&km,ple sabftily: Ninth an chi1dm0 RthoZomchildreo

Rtber-childsu!JfrnLly -4uld SubftilY

26. SM (2) By '4ARIT.U. SrAms (5) I101

40

-mar*-

._

72.

73.

76.

77.

.

44

98.FMILYmPE (2) BImmErfsTATm IN I979 (2) By PPSQCE rwD NiE OY mzxcm mnuxn24 (4) g/ WI

‘IncaR in 1979 *tom pw*Yleul: wlttl I-eLated Chirnll under 5yeanMd5to17

91. R&z (5) 9Y Rxmri 9rAnJ9 IN 1979 (2) I101

UnlHIW: m- mr mlan mwrty status IS mterK4d gy

Total: 1-1ll1979-poa=Y 1eml

I- in1979bl-aPcertY lBW1

-.

__-. 1s79toarchlmo 1mtolsl3 1970 ta ls74 lswtolw9 l9wto1wa 19Y) to lsda lss a aru*r

110. TcNmE (2) BY Yfm SOJSEHXIZR YKm IXlU WIT (6) Cl221

lbu1: 1979 to 'kIeJ 1960 1975 to Lrn w7oto I974 1660 to 1989 1wotol959 1949 or eawer.

116. lmws AND axwavcf mmw (3) 6-f 9alRoc(B (6) IIS1

ll8.

ll2.

120.

m oc - (2) 2r - IN IUKIIG WIT (2) I41

Am a?wJITIamG (4) [II

md-: Yadkamd~ miu

134.!mIAN m !.sNl?&Yrn Ol¶XBf!ORlChiESCA,nrs (2) w [21

.

. _

HOW TO USE THE DATA DICTIONARY

The data dictionary contains complete information regarding geographic codes, table information, and a detailed table layout. The following is an outline of information provided in both tne geographic and table identification portions of the file.

Geographic Identification

The first line of each geographic identification variable gives the name, size/scale. begin position, relative begin position, and the variable label. Following those items, on subsequent lines, are any applicable notes and value codes. Eacn of these items is defined below.

1.

2.

3.

4.

3.

6.

Name. This is an arbitrarily assigned a-character identifier. It may be a mnemonic such as "STATG" or "EDNUMSER", or a sequential identifier such as "TABl" , "TAB2", etc.

Size/Scale. The size of a data item is given in characters.

13egin. This is the location in the data record of the first character of the data item.

Relative m. This value indicates the begihning location of a data item within a specified segment of files with segmented records.

Data e. The data type (A) indicates tnat the data item isrepresented by an alpnabetic code.

Description. Following the Data Type is a description of tne data item. This heading is not labeled on the data dictionary. This section also provides any relevant‘notes or footnote references. In addition, any value codes necessary for the data item are listed and labeled here.

53

Table Identification

The documentation of tables begins ,with the nam?, size/scale, begin position, relative begin position for the table, data type, and the number of cells. This informtion is followed by the table title, applicable suppression flags, universe definition, applicable footnotes, stratifier identification, and a listing of the cells. These items are defined below.

The size/scale infor- This item identifies The symbol "N" oration is the same as the location of the denotes that an defined above for geo- first cell in the actual figure is ara?hic identification. table. provided. This .A*? scale value iden- item could be tified here applies to

/ summarized or

all cells of the table. aggregated.

RELATIVE DATA NUI.lSER OF CELLS

TASLZ 45 9 3694 1678 N 20

(TA345) A 4

I I’ T'lis is an 8 character This item identifies This item gives identiEier of the table the location of the the total number number. The convention first cell in the of data items, or used here, shown in table relative to CCCllS, in the parentheses, is to the beginning of table. The follow "TAB" with the the current segment. number of cells table number, which is the product of identifies the data the number of item as a table for categories in each CSNSPAC. The "TAi3LE stratifier in the 45" is generated by table. the CZ,NSPAC Documentor program.

54

Table Title. The title of the table identifies the stratifiers used in the table, and the number of categories in each stratifier. For example, this title indicates that there are five categories of race and four categories of school enrollment identified in the table.

Suppression Flags. This section of the documentation identifies applicable suppression flags and the cells to which they apply.

universe. The universe identifies the unit of observation for the table. For example, the cells in this taale are counts of persons 3 years old and over enrolled in school.

Footnotes. This section refers to footnotes listed at the end of the data dictionary which apply to the table.

Stratifiers. This section lists the stratifiers used in ttie table, in the order in which they appear on the data tape. For example, this table begins with the first category of race cross classified by the four school enrollment categories. This is followed by the four remaining categories of race, each of which is cross classified by the four categories of school enrollment. Headers representing stratifiers are followed by a colon and are not counted as cells.

TAB45 KACE (5) BY SCHOOL ENROLLME'VT (4)

SUPFLGOl applies to cells l-4 SUPFLG02 applies to cells 3-8 SUPFLG03 applies to cells 9-12 SUPFLG04 applies to cells 13-16 SUPFLG05 applies to cells 17-20

UNIVERSE: Persons 3 Years Old And Over Enrolled In School

See FOOTNOTE 4

THE STRATIFIERS ARE:

RACE BY SCHOOL ENHOLLMEXT

Total: Nursery school Kindergarten and elementary (1 to 8 years)

High school (1 to 4 years) College

White: Repeat School Enrollment (4)

Black: Repeat School Enrollment (4)

American Indian, Eskiao, and Aleut: Repeat School Enrollment (4)

Asian and Pacific Islander: Repeat Scnool Enrollment (4)

55

Calculating the Location of Cells in STF 3 ----_

The location of the beginning character position for the first cell in each table is indicated in the "begin" column. The begin position for succeeding cells can be calculated by the fQllowi.ng method.

Example 1. Location of begin position for occupied housing units

.V.A>.IE

TABLE 11 (TABll)

SIZE/ RELATIVE DAT.$ .~lJ)1BEH SCALE BEG13 BEG13 TYPE OF CELLS

9 397 397 N 3

OCCUPANCY STATUS (3)

TktIS 'TABLE H~A3 NO SUPPRESSION

UNIVERSE: YEAR-ROUND HOUSING UNITS

SEE FWTNOTE 3

TOTAL (cell 1) OCCUPIED (cell 2) VACANT (cell 3)

Example 2. Location of begin position for renter-occupied housing units with Asian and Pacific Islander householder, with gross rent of $300 or more.

SIZE/ RELATIVE DATA NUMBER NAMZ SCALE BEGIN BEGIN TYPE OF CELLS

TA8LE 125 9 9832 1768 N 20 (TAB125)

RACE OF ~OUSEI~OLDER (4) BY GROSS RENT (5)

SUPFLG21 APPLIES 'CO CELLS 1-5 SUPFLG22 APPLIES TO CELLS B-10 SUPFLG23 APPLIES TO CELLS 11-15 SUPFLG24 APPLIES TO CELLS 18-20

56

UNIVERSE: SPECIFIED RENTEH-OCCUPIED HOUSING UNITS WITH HOUSEHOLDER OF SPECIFIED HACES

SEE FOOTXOTE 4 11 29

TtIE STHATIFIERS ARE RACE OF dOUSEHOLDER BY GROSS RENT

WHITE: . LESS THAN $100 (cell 1) $100 TO $199 (cell 2) $200 TO $299 (cell 3) $300 OR MORC (cell 4) NO CASH RENT (cell 5)

BLACK: REPfiAT GROSS RiNT (5)

AMERICAN INDIAN, ESKIMO, AND ALEUT: REPEAT GROSS RENT (5)

ASIAN AND PACIFIC ISLANDER: REPEAT GHOSS REI~T (5)

CENSPAC users who want a data dictionary report listing the beginning position of all cells may use the CENSPAC Documentor program with tne "long" option and the machine-readable data dictionary for STF 3 to obtain such a listing.

57

STF3 DATA DICTIONARY OW2942

FILE CHARACTERISTICS SECTION

FILE RECORD NAME

BLOCK STORAGE SIZE

RECORD SIZE DEVICE SEGMENTS

STF3 12,096 6

I,” ._l-., ,, ,, ,,,-, ,,,~ ,,,,,,,. ,,, ,,_“._ ^. - - -

STF3 DATA DICTIDNARY 04/29/82

TEXT SECTION

CENSUS OF POPULATIDN AND HOUSING, 19.50- SUMMARY TAPE FILE 3

GEOGRAPHIC INFDRMATIDH IN POSITIONS I-20% OF THIS FILE ARE IN A STANDARD GEOGRAPHIC RECORD FORMAT WHICH WILL BE FOLLOWED FOR ALL 1900 SUPIEIARY TAPE FILES. EACH FIELD OF THIS STANDARD FORRAT IS IDENTIFIED IN THIS DICTIONARY, ALTNDUGH IT MAY NOT BE USED IN STF 3.

WHEN PROCESSING THIS FILE. THE GEOGRAPHIC IDENTIFICATION PORTION OF EACH RECORD SEGMENT SHOULD BE READ AS ALPHANUMERICS. THE REMAINING PDRTIDN OF THE FILE SHOULD BE READ AS NUMERICS.

STF 3A. STF 3B. AND STF 3C HAVE IDENTICAL TABLES AND FORMAT EXCEPT FOR THE DMISSIDN OF loo-PERCENT COUNTS FOR POPULATION AND HOUSING IN STF 38.

DATA FOR THE TABLES ON STF 3 ARE USUALLY PRESENTED IN 9-CHARACTER FIELDS. HOWEVER. DATA FOR THE FOLLOWING TABLES ARE PRESENTED IN 15-CHARACTER FIELDS: 22, 24, 25. 31. 42, 60. 64. 70, 72, 77. 78. 80, 83, 84, 100, 101, 104, 128, 129. 137.

STFJ DATA Did

RECORD 01

SIZE/ RELATIVE NAME SCALE BEGIN BEGIN

FILEID 5 1 1

RECTYP 4 6 6 A

SUMRYLVL 2 IO 10

14

15

16

17

:“o

20

21

22

ilARY 04/29/82

DATA TYPE

A IDENTIFIER FOR SUMEIARY FILE,

I.E., STF 3A. STF JB, ETC. STF3A-SUMMARY TAPE FILE 3A STF3B-SUMEIARY TAPE FILE 3B STFSC-SUMl4ARY TAPE FILE 3C

IDENTIFIES MULTIPLE LOGICAL RECORD FDRPlAlS ON STF FILES.IT IS BLANK IF ONLY ONE FORPIAT IS PRESENT. (BLANK ON STF 3)

A IDENTIFIES GEOGRAPHIC LEVEL

OF CURRENT RECORD

UNITED STATES REGION DIVISION STATE SCSA SCSAJSTATE SMSA SMSA/STATE URBANIZED AREA URBANIZED AREA/STATE SIATEXDUNTY STAlE/COUNTY/NCD (CCD) STAlE/COUNTY/MCD (CCD)/

PLACE STATEICOUNTY/MCD (CCD)/

PLACE/TRACT (BNA) STATE~COUHTY/tlCD (CCD)/

PLACE/TRACT (DNA)/BG STATE/COUHTY/MCD (CCIJ)/

PLACE/TRACT (BNAl/ED STATE/SNSAICOUNTY STATE~SHSAICDUNlY/MCD (CCD) ST~~#W~#SA/COUNTY/MCD (CCD)/

S,TATE/SMSA/CDUNTY0lCD (CCD)/ PLACE/TRACT (BNA)

STATE/SMSA/CDUNTY/llCD (CCD)/ PLACE/TRACT (BNA)/BLOCK

STAlE~SMSA~COUtllY~IICD (CCD)/

,,.

STF3 DATA DICTIONARY 04/29/02

RECORD 01

SIZE/ RELATIVE DATA NAME SCALE BEGIN DEGIN 7YPE

URBARURL

:t

2s

26

39

2 12 12

SMSACDM 2 14 14

PLACE/TRACT (BNAt/ED STATEISMSA/COUNTY/PLACE STATE/SMSA/COUNTY/PLACE/

TRACT IBNA) STATE/SNSA/COUNTY/PLACE/

TRACT (BNAtIBLDCK STATE/SMSA/COUtITY/PLACE/

TRACT (BNA)/ED STATE/PLACE STAlE/MCD SEQUENCE ttUMBER INDIAN RESERVATION (ANV) 1tloIAN RESERVATION (AttV)/STATE INDIAN RESERVATION (ANV)/STATE/

COUNTY STATE/SMSA/COUNTY/TRACT (BItA) SlATE~CDtlGRESSIDNAL DISTRICT 5-DIGIT ZIP WITHIN STATE 5-DIGIT ZIP STATE/SMSA/COUNTY STATE/CONGRESSIONAL DISTRICT/COUNTY STATEXDNGRESSIONAL DISTRICT/COUNTY/

PLACE STATE/CONGRESSIONAL

MCD DISTRICT/COUNTY/

URBAN AND RURAL CDNPONENT

IT URBAN AND RURAL CDMPONENT !BAN :NSIDE URBANIZED AREAS

ITIES CENTRAL C 1

URBAN FRINGE OUTSIDE URBANIZED AREAS

PLACES OF 10,000 OR MDRE PLACES OF 2500 TO 10.000

RLIDA’ PLACES OF 1000 TO 2500 ^_.. -_ _..-. “I lItIt NUNAL FARM

INSIDE AND OUTSIDE SMSA’S COMPONENT

I, i

,,, ,, ,,, ,,, ,, ,,

SlF3 DATA DICTIONARY 04/29/82

RECORD 01


RACESPAN 2 16 16

ANCESTRY 3 111 18

BLOCKPT 1 21 21

1

DATA TYPE

NOTE: NOT APPLICABLE TO STF 3; FIELD IS BLANK.

NOT INSIDE AND OUTSIDE SRSA INSIDE SMSA’S

URBAN CENTRAL CITIES NOT IN CENTRAL CITIES

RURAL OUTSIDE SMSA’S

URBAN RURAL

COMPONENT

A IDE;;;pFIES RACE/SPANISH ORIGIN


A IDENTIFIES SPECIFIC ANCESTRY GROUP

NOTE: NOT APPLICABLE TO STF 3t FIELD IS BLANK.

A BLOCKED PORTION INDICATOR

NOTE: NOT APPLICABLE TO STF 3; FIELD IS BLANK

A BLANK INDICATES NOT APPLICABLE OR TNE TOTAL SUMMARY FOR A GEOGRAPHIC AREA WHICH IS PARTIALLY BLOCKED.

TN15 SUNMARY IS FOR TNE BLOCKED PORlIOtI OF A GEOGRAPNIC AREA I~lttICN IS PARTIALLY BLOCKED OR A TOTAL SUMtlARY FOR A

,,,,, ,, ,,, ~,, ,,,,,,, ,,, .,,,

STFJ DATA DICTIONARY 04/29/82

RECOKD 01

NAME SIZE/ RELATIVE DATA SCALE BEGIN BEGIN TYPE

GEOGRAPHIC AREA WHICH IS COMPLEIELY BLOCKED.

FSTATUS 1 22 22 A FUNCTIONAL STATUS CODE

FlAGl

A

B

C

;

:

Q

ACTIVE GOVERNMEtllAL UNIT RECOGNIZED FOR REVENUE StlARING, EXCEPT SEMI- INDEPENDENT PLACES. INDIAN RESERVATIONS All0 ALASKA

-NATIVE VILLAGES ACTIVE GDVERNtlENTAL UNIT, NOT

RECOGIIIZED FOR REVENUE SHARING SEMI-INDEPENDENT PLACE INACTIVE GOVERNMENTAL UNIT NON-FUNCTIONING GOVERNMENTAL UNIT STATISTICAL ENTITY FALSE ENTITY INDIA11 RESERVATIOH OR ALASKA

NATIVE VILLAGE, RECOGNIZED =“9 REVEtlUE SHARING I Y..

INDIAN RESERVATION OR ALASKA NATIVE VILLAGE. NOT RECOGNIZED FOR REVENUE _..- SHARING

1 23 23 A SUBSTITUTION FLAG

NOTE: NOT APPLICABLE TO STF 3: FIELD IS DLANK.

FIELD IS BLAtlK IF LESS TtlAN 20 PERCEIIT OF TNE PERSOIIS OR YEAR-ROUND HOUSING UNITS WERE SUBSTITUTED.

1 20 PERCENT OR MORE OF THE PERSONS OR YEAR-ROUND ttOUSING UNITS WERE SUBSTITUTED.

c <

<

N

65

NAME

QUASI51

REGION

STFJ DAIA DICTIONA.RY 04/29/82

RECORD 01

SIZE/ RELATIVE DATA SCALE BEGIN BEGIII TYPE

E CEtlSUS CDUNIY DIVISION GORE

II IttDEPEtlDENT CITY IUDIAN RESERVATION ,tttDRGAtlIZED TERRITORY ; L -. . -. . .

K PARISH

k PLANTA‘ LOCATII

1! LHONET ELECT11

ii QUADRAI PURCHA!

lION IN

3N PRECINCT IT

: TOWNSN:: TOWN

!: CENSUS DESIGNATED PLACE VILLAGE

W POLICE JURY WARD

1! GRANT CENSUS AREA

Z CENSUS SUBAREA

: ISLAND CEIISUS SUBDISTR ICT

3 MUNICIPIO 6 RARRT”

: CIUDAD PUEBLO

: ALDEA ZOIIA URBANA

9 FLUttICIPALITY

1 30 JO A QUASI-STATE


1 31 31

: 3 4

A REGION CODE

NORTHEAST NORTH CENTRAL SOUTH WEST

I .” . ___ -_ __~ ^_^ -_ --- --

STF3 DATA DICl IONARY O-%/29/82

RECORD 01

SIZE/ RELATIVE NAME SCALE BEGIN BEGIII

DIVISION 1 32 32

STATEGEO 2

. “. - _ I - _ _-._ - ---.. _._

32 32

.63

i: 71

it

:;

2: 5B

i:

::

:: 61

:: 52

:8 41

2 BI

DATA TYPE

DIVISION CODE

THIS IS THE FIRST DIGIT OF THE GEOGRAPNIC STATE CODE.

~~~;~SASTAlE CODE

ALASKA ARIZDNA ARKAIISAS CALIFORNIA COLORADO CONNECTICUT DELAWARE ;:;t;;:T OF COLUMBIA

GEORGIA HAWAII IDANO ILLINOIS INDIANA IUWA KANSAS KEttlUCKY LOUISIANA MAINE MARYLAND MASSACHUSETTS MICNIGAN MINtIESOTA MISSISSIPPI rlISSuURI MONTANA

NAME

STATE

._ --.-. _ . . ._ . . - - I - . . . -. .-

STF3 DATA DIClIONARY 04/29/82

RECORD 01

SIZE/ RELATIVE DATA SCALE BEGIN DEGIN TYPE

46 aa

:: a5

:: 44

::

i:

:: 45

% 67

:t

5’:

:: 06

NEBRASKA NEVADA HEN IIAMPSNIRE NEW JERSEY NEW MEXICO NEU YORK NOIlTN CAROLINA NORlll DAKOTA OHIO OKLAHDMA OREGON PENNSYLVANIA RIIDDE ISLAND SOUTH CAROLINA SOUTH DAKOTA TEtINESSEE 7 EXAS UTAN VERMONT VIRGINIA WASHINGTON WEST VIRGINIA WISCONSIN WYOMING PUERTO RICO

2 34 34 A FIPS STATE CODE

ALABAl’lA ALASKA ARIZONA ARKANSAS CALIFORNIA COLORADO CONNECTICUT DELAWARE DISlRICT OF COLUblDIA FLORIDA GEORGIA tIAWAI1~ IDANO ILLItlnIs IlIDIAtIA IUlJA KAUSAS

,, ,, ,,,.,., ,.“.i._ ,.,,

NAME

SMSA 4 36 36

COUNTY 3 40 40

STF3 DATA DICTIONARY O-+/29/82

RECORD 01

SIZE/ RELATIVE DAIA SCALE BEGIN BEGIN TYPE

KENTUCKY UISIANA

SETTS

k&NE PlARYLAtlD MASSACNIJ MICHIGAN MINNESOTA mssxssxm MISSOURI MONTANA NEBRASKA NEVADA

W tlAMPSHIRE

.-..- !TO RICO

A FIPS STANDARD PtElROPDLITAN

STATISTICAL AREA (SMSA) CODE

A FIPS CfllJNTY CODE

,,,, ,,, ,,, ,,,,,

STFS DATA DICIIONARY ow29/a2

RECORD 01

NAME SIZE/ RELATIVE DATA SCALE BEGIN DEGIN IYPE

llCD

PLACE

TRACT

TRACT4

TRACT2

3 43 43 A MINOR CIVIL DIVISIOtl~CENSUS

COUNTY DIVISION (MCD/CCD) CODE

4 $6 46 A CENSUS GEOGRAPHIC PLACE CODE

9999 IN THIS FIELD IIDICATES BALANCE DF ttIGllER LEVEL ENTITY OUTSIDE OF PLACE. E.G., REMAINDER OF MCD OR OF COUNTY.

6 50 50 A IRACT OR BLOCK NUMBERING

AREA (DNA) CODE

4 50 50

2 54 SC

TRACT IS A FOUR-DIGIT BASIC CODE WITH IPlPLIED DECIMAL AND 2-DIGIT SUFFIX

999999 IN THIS FIELD INDICATES UNTRACTED REMAINDER OF A NIGHER LEVEL ENTIIY; E.G., REMAINDER OF PICD.

A ,RAC, OR BLOCK NUMBERING AREA (BNAI

,HIS IS THE q-DIGIT BASIC CODE. BNA SUPIMARIES ARE NUtlBERED BETWEEN 9901 AND 99S9.

A lRACT OR BLOCK NUMBERING AREA (BNA)

THIS IS THE 2-DIGIT SUFFIX CODE. BLANK IF NOT USED.


RECORD 01


BLKGRP 1

BLOCK 3

PARTPLAC 1

PARTTRCT

PARTBLK

1

1

56

56

59

60

61

56

56

59

0

:

60

0

:

61

DATA TYPE

BLOCK GROUP CODE (FIRST DIGIT DF BLOCK NUMBER)

BLOCK CODE

NOTE: NOT APPLICADLE TO STF 3; FIELD IS BLANK.

PLACE/PART INDICATOR

THIS INDICATOR WILL APPEAR ON RECORDS WttICtt MAY CONTAIN DATA FOR A PART OF A PLACE.

NEITHER PLACE, NOR PLACE SEGMENT RECORD

SPLIT NOT SPLIT

TRACT/PART INDICATOR

TtlIS IHDICATOR WILL APPEAR ON RECORDS WHICH NAY COHTAIN DATA FOR A PART OF A TRACT OR BNA.

NEITHER TRACT/DNA, NOR TRACT/BNA SEGMENT RECORD

SPLIT NOT SPLIT

BLOCK/PART INDICATOR

NOTE: NOT APPLICADLE TO STF 3; FIELD IS BLANK.

-- __ _ ___ ._ - -- ..^ ^ - --- -.I I-- -.I-- .- -II -

RECORU 01



DATA TYPE

EDIND 1 62 62

EDNUMBER 4 63 63

EDSUFFIX 1 67 67

. - - - - ^ .~ - - - ^

0

:

A

THIS INDICATOR WILL APPEAR ON RECORDS WllICtl MAY COtlTAIN DATA FOR A PART OF A BLOCK.

NEITtlER BLOCK. NDR BLOCK SEGMENT RECORD

SPLIT NOT SPLIT

A ENUMERATION DISTRICT

INDICATOR PREFIX

FIELD IS BLANK IF ED IS NONE OF THOSE LISTED DELOW:

HISTORIC AREAS OF OKLAtlDMA (EXCLUDING URDANIZED AREAS); DISREGARD ALL OTtlER AREAS.

NILITARY RESERVATION ANERICAN INDIAN RESERVATION NATIONAL OR STATE PARK

OR FOREST LAtlDS DTtlER SPECIAL PLACE CREWS OF VESSELS

A EtlUtlERATION DISTRICT NUMBER

(ED) CODE

A ENUMERATION DISTRICT SUFFIX

IF APPLICABLE, CONTAINS AN ALPtlABETIC CIIARACTER A-Z. OTHERWISE, SUFFIX WILL BE BLANK.

t,

_ ._ _~--. ,_ ------ ------

1

i I

STF3 DATA DICTIOtlARY ! 04/29/82

SIZE/ WANE SCALE

SC5A 2

URDAREA 4

‘CDIIDIST 2

INDAtIV 3

NCDSEQNO 4

ZIP 5

WARD 2

5EA ‘2

ESR 3

I RECORD 01

RELATIVE DATA DEGItl DECItt TYPE

6.5 68 A FIP; SIAHDARO COtlSDLIDAiED

STATISTICAL AREA (SCSAI CODE

70 70 A URDANIZED AREA (VA) CODE

: 74 74 A COIICRESSIOtIAL DISTRICT (CD) CODE

76 76 A ItlDIAti RESERVATIDtt/ALASKA

tIATIVE VILLAGE (AtlV) CODE

79 79 4 NCD SEQUEIICE NUNDER

(AVAILIDLE III 11 STATES)

83 ll3 ’ A 54ICIT ZIP CODE

66 36 A WARD

90 90 A SIATE ECDtIDNlC AREA (SEA) CODE

92 92 A ECOtlDNIC SUD-REGIOII (ESR) ‘CODE

._ ., ., ., ..- ” ,” _ _ ” -_ “. _~ ._ ” - - -- - ._ ” I - -- .” .- - - _ -- - ._ I _ - -- - .__----- ------- .-----

c ‘Z F _?

SIZS, tlAME. 5Ci.i E

OOFFICE ' 4

SEQOID 4

I

SNSASIZE 1

CATA DICTIDffARY 04/29/82

RECORD 01

RElATlVE BEGItl BEG111

95

’ v9

103

95

99

103

6 7 9

DATA TYPE .

1 A

DISTRICT OFFICE,COOE

IF DATA FOR 11115 SUNflARY WERE COLLECIEU FRO11 MURE IllAll OllE DISIRICT OFFICE. Ill15 CODE WILL COIITAIff "9999."

A SEQUEIICE IOEtlTIFIER

FIRST TWO DIGITS (99-100) 1DEllTIFY TIIE SEQUEHCE OF TllIS RECURU SEGtlCtIT A5 A PAR1 OF TIIE CEIISUS LOGICAL RECDRU. SECDIID TCIO DIGITS (101-102) IUCIIIIFY IIIE TOTAL IlUllOCR OF RIICURO SEGlIEIIlS FUR IlAClI CEllSUS LOGICAL RECORD. IlIE FIRST. IUZ CIIARACIIRS OF TIIE DATA WILL AI'I'EAR 011 EACII RECOHD SEGIlEtII 01: TIIE USER TAI'ES. IIIE FfJLLOlfIllG CEOGKAPIIIC DESCRIPTIVE UAIA WILL AI'I'EAR 011 OIILY TllE FIRST RECUKD SEGIIEIII FUR A GIVEII SUtIIlARY.

A STAtlUARD tlETRUPOLITAN

SIATISTICAL AREA (SNSA) SIZE CODE

ZERU OR DLAIIK IF ffOT IH Atf SNSA

UtlDCR 100,000 lOO.OOO-249,999 250,000-499.999 500,000-999.999 1,u00.000-2.999.999 3.000.000-14,599.999 ; 15,000,000 OR IlORE SPLll OY 511SA UUUIIDARY

.

-

STFJ DATA DICTIONARY 04/29/.52

RECORD 01

SIZE/ RELATIVE DATA NAME SCALE BEGIN BEGIH TYPE

UATYPE 1 104 105

0

UASIZE 1 105 105 A

PLACOESC 1 106 106

A URBANKZED AREA (UA) TYPE

URBAHXZED AREA (UA) SIZE CODE

ZERO OR BLANK IF NOT IN UA

A PLACE DESCRIPTION

INCORPORATED CENTRAL CITY “F SW.. NOT 111 _ _ _ . - -

INCORPORA TED CENTRAL CITY OF UA NOT SNSA

INCORPORA7EO CENTRAL CITY OF SMSA AND UA

OTNER ItlCORORATEO PLACE NOT PLACE; PART OF ttCO/CCO CENSUS DESIGNATED PLACE, CENTRAL

CITY OF VA NOT SMSA _-.. CENSUS OESIGNAT ED PLACE, CENTRAL CITY OF SMSA Alltl UA

CENSUS DESIGNATED PLACE IN UA WITH CC OF SO.000 OR MORE

CENSUS OESIGttAlEO PLACE

Y

x

76


CBD 1 110 110

STF3 DATA OICTIOIIARY 04/29/82

RECORU 01

C

rlCDCC0S2 2 111 Ill

INOSUDR 3 113 113

FIPSPLAC 5 116 116

A CENTRAL BUSINESS OISTRICI

FIELD IS BLANK IF AREA IS NOT IN A CENTRAL BUSINESS DISTRICT

CENTRAL BUSINESS DISTRICT

A IIINOR CIVIL DIVISION/

CENSUS COUNTY DIVISION (HCO/CCD) SIZE CODE

UNDER 200

::;I;;;

1.000-1.499 1.500-1,999 2.000-2.499 2.500-4.999 5.000-9.999 10.000-19.999 20.000-24.999 25.000-49.999 50.000-99.999 100.00-249.999 250.000-499.999 500.000-999.999 l,OOO.OOO OR MORE

A INDIAN SUBRESERVATION

A FIPS PLACE CODE

NOTE: NOT APPLICAOLE TO STF 3; FIELD IS BLANK.


RECORD 01


SFAR 2

LONGITUO 7

LATITUDE 6

LANDAREA 9/-l

AREANATIE 60 145

SUPFLGOl 1 205

121

123

130

136

121

123

130

136

145

205

DATA TYPE

A STANDARD FEDERAL

ADMINISTRATIVE REGION

A LONGITUDE


A LATITUDE

NOTE: NOT APPLICABLE TO STF 31 FIELD IS BLANK.

A LAND AREA (SQUARE KILOFIETERS

TO THE NEAREST TENTH)


A AREA NAME

A TOTAL POPULATION SUPPRESSION

FLAG

A 1 IN 71115 FIELD INDICATES SUPPRESSION BECAUSE THERE ARE FEWER THAN 30 PERSONS IN THE GEOGRAPUIC AREA BEING SUMFlARIZEO.IT WILL AFFECT THE FOLLOWING TAOLES:

15

t

,,

NAME

,

STF3 DATA DICTIONARY 04/29/B2

RECORD 01


0 NO SUPPRESSION 1 SUPPRESSION

SUPFLGOZ 1 206 206 A WN;~~GPDPULATION SUPPRESSION

19

E-44 45 (CELLS l-4) $7 48 (CELLS l-5) so-54 55 (CELLS 1-B) 57-61 62 (CELLS l-21 64-67 81-85 89-90 91 (CELLS l-2)

K” 104

A 1 .IN THIS FIELD INDICATES SUPPRESSSION BECAUSE THERE ARE FEWER TNAN 30 WHITE PERSONS IN THE GEOGRAPHIC AREA BEING SUtltlARIZEO OR COMPLEMENTARY SUPPRESSION IS APPLIED. IT WILL AFFECT THE FOLLOWING TABLES:

lb (CELLS l-10) 45 (CELLS 5-81) 48 (CELLS b-10) 55 (CELLS 9-16) 62 (CELLS 3-4) 91 (CELLS 3-Q)

NO SUPPRESSIOH SUPPRESSION

- - . _ - .~L~, - ~~ - - -.. -.

^ _; ..-- .- _I_. - .~ - .-

i

--- --.-~ _.

STF3 DATA DICTIONARY 04/29/1)2

RECORD 01

SIZE/ RELATIVE DATA NAME SCALE BEGIN BEGIN TYPE

SUPFLGO3 1 207 207 A BLACK POPULATION SUPPRESSION

FLAG

A 1 IN TllIS FIELD INDICATES SUPPRESSION BECAUSE THERE ARE FEWER THAN 30 BLACK PERSONS IN THE GEOGRAPHIC AREA BEING SUMMARIZED OR COtIPLEtlENTARY SUPPRESSION IS APPLIED. IT WILL AFFECT TIIE FOLLOWING TABLES:

lb (CELLS II-201 45 (CELLS 9-127 48 (CEILS 11-15) 55 (CELLS 17-247 62 (CELLS 5-b) 91 (CELLS 5-b)


SUPFLGOI 1 208 206 A AMERICAN INDIAN, ESKIMO, AND

ALEUT SUPPRESSION FLAG

lb (CELLS 21-30) 45 (CELLS 13-16) 48 (CELLS 16-20) 55 (CELLS 25-32) 62 (CELLS 7-O) 91 (CELLS 7-8)

-._.. ^ .~ -~_.---..- ._-- - ^.- - ---~,- ^ ----...

NAME

STFJ DATA UICTIONARY 04/29/82

RECORD 01

SIZE/ RELATIVE DATA SCALE BEGIN BCCItl TYPE

f NO SUPPRESSION SUPPRESSIltN

SUPFLGOS 1 209 209 A I

ASIAN’ANO PACIFIC ISLANDER SUPpRESSION FLAG

SUPFLGOb 1 210 210

- .“._ - - I .- - ._

NO SUPPRESSION SUPPRESSION

A SPANISH POPULATION SUPPRESSION

FLAG

-- ^-. ” .-.-.._ _.^ -~----

NAME

STF3 DATA DICTIONARY 04129182

RECORD 01


2: 92


SUPFLGO7 1 211 211 A YEAR&ROUND HOUSING UNIT SUPPRESSION FLAG


SUPFLGOD 1 212 212 A OCCUPIED NOUSING UNIT

SUPPRESSION FLAG

101 102 (CELLS 1-b) 105-108 109 (CELLS l-7) 111 11s 116 (CELLS 1-b) 117 (CELLS I-4) 120

A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE THERE TIIERE ARE FEWER TIIAN 10 OCCUPIED HOUSING UNITS IN TIIE GEOGRAPNIC AREA BEING SUMMARIZED OR CUMl’LEMENTARY

-. ^ _ “_ - ; ._ -- ._ .

NAHE

SUPFLGO9

STF3 DATA DICTIONARY

RECORD 01

SIZE/ RELATIVE DATA SCALE BEGIN BEGIN TYPE

04/29/B2

SUPPRESSION IS APPLIED. THIS AFFECTS TIIE FOLLOWING / TABLES:

$ (CELLS l-77

68-74 77 (CELL I) 70


1 213 213 A OCCUPIED NOUSIWG UNIT WIllI

WIIITE tlOUSEllOLOER SUPPRESSION FLAG

,,, ,..., ,.., ,,” _,, ,,,. ,.,, i., ,,.,, ,,, ,,,, ,,, .,,, .,. ,..,.,, ,,.. ,II, “,, ., ..,,..,, ,,.,, .*, ,,,,,,,,, ,,,, ,-, ,, ,,, ,,,, ,,., ,I,“,,, ,,,,,,, I,,, ,.,

A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE TNERE ARE FEWER TIIAN 10 WItITE WUUSEHOLOERS IN THE GEOGRAPHIC AREA BEING SUtltlARIZEO OR COtlPLEElENTARY

.~. - . _- .- - - _. - - - - -


RECORD 01


SUPPRESSION IS APPLIED. THIS AFFECTS THE FOLLOWING TABLES:

20 (CELLS B-147 75 (CELLS l-9) 77 (CELL 2) 90 (CELL 6) I21 (CELL 2) 143 (CELL 2) 145 (CELL 2) 147 (CELL 2) 149 (CELL 2)

f NO SUPPRESSION SUPPRESSION

SUPFLGlO 1 214 214 A OCCUPIED HOUSING UNIT WITH

BLACK HOUSEHOLDER SUPPRESSION FLAG

20 (CELLS 15-217 75 (CELLS lo-181 77 (CELL 3) 911 (CELL 7) 121 (CELL 37 143 (CELL 31 145 (CELL 3) 147 (CELL 3) 149 (CELL 3)


\

. _.. I _ - _. ^. .- -. -. - - c .


RECORD 01

SIZE/ RELATIVE DATA NAME SCALE BEGIN BEGIN TYPE

SUPFLGII 1 215 215 A OCCUPIED NOUSING UNIT WITN

AMERICAN INDIAN. ESKIMO. AND ALEUT HOUSEHOLDER SUPPRESSION FLAG

A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE THERE ARE FEWER THAN 10 AMERICAN ItIOIAtt. ESKIMO, AtlO ALEUT HOUSEHOLDERS IN TtlE GEOGRAPIIIC AREA BEING SUtIttARIZEO OR COMPLEMENTARY SUPPRESSION IS APPLIED. THIS AFFECTS THE FOLLOWING TABLES:

20 (CELLS 22-28) 75 (CELLS 19-277 77 (CELL 4) .. 9B (CELL 87 121 (CELL 4) 143 (CELL 4) 145 (CELL 4) 147 (CELL 4) 149 (CELL 47

SUPFLG12 1 216 216 A


OCCUPIED HOUSING. UNIT WITN ASIAN AND PACIFIC ISLANDER tIOUSENOLDER SUPPRESSION FLAG

A 1 IN TNIS FIELD INDICAlES SUPPRESSION BECAUSE THERE ARE FEWER THAN 10 ASIAN AND PACIFIC ISLANDER HOUSE- tIOLOERS IN THE GEOGRAPNIC AREA BEING SUtIMARIZEO OR COtlPLEtTENTARY SUPPRESSION IS APPLIED. TNIS AFFECTS TIIE FOLLOWING TABLES:

20 (CELLS 29-35) 75 (CELLS 20-36) 77 (CELL 5)

._ - ~; . . .I ..~^. - - ..I ,,,,,,,, ,,,, .,, ,,,,,,,,,,,, ,,,,, ,,, ,,,,,, ,.,,,,~,,,,,_ I ,, ,,,

., ^ _. _ I _.._ - ^ -

I

- -


RECORD 01

NAt’lE SIZE/ RELATIVE DATA SCALE BEGIN BEGIN TYPE

98 (CELL 97 121 (CELL 5) 143 (CELL 57 145 (CELL 57 147 (CELL 57 149 (CELL 57


SUPFLGlJ 1 217 217 A OTHER RACE NOUSENOLOER

9B (CELL IB)

: NO SUPPRESSION SUPPRESSION

SUPFLGIS 1 218 210 A OCCUPIED HOUSING UNIT WITH SPANISH ORIGIN HOUSEHOLDER SUPPRESSION FLAG

1. - -. _. _ ,. _ _ I -

STFJ DATA DICTIDNARY 04/29/B:

RECORD 01

SIZE/ RELATIVE DATA NAM SCALE BEGIN BEGIN TYPE

0 1

SUPFLG15 1 219 219

SUPFLG16 1 220 220

EZCCECL 2’

2: 1411 150


A DUNER-OCCUPIED HOUSING UNIT

SUPPRESSION FLAG

A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE THERE ARE FEWER THAN 10 HOUSING UNITS IN THE OWNER-OCCUPIED CATEGORY OF THE GEOGRAPHIC AREA BEING StJtlMARIZED OR COMPLEHENTARY SUPPRESSION IS APPLIED. THIS AFFECTS THE FDLLGWING TABLES:

::: 137-140


A OWNER-OCCUPIED tIOUSItIG UNIT

WIIH GlttIlE HDUSEHOLDER SUPPRESSIOH FLAG A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE TtIERE ARE FEWER THAN 10 WHITE IIOUSE- HOLDERS IN THE OWNER-OCCUPIED CATEGORY OF THE GEOGRAPHIC AREA BEItlG SUtlMARIZED OR COtlPLENENTARY SUPPRESSION IS APPLIED. TIIIS AFFECTS TIIE FOLLOWING TABLE:

,,, ,,,,,, .,,,,, ,,, ,,, ,., ,,,,,,, ,,, ,,,,, ,,,,, ,,, ,,,, ,,, ,,,,, ,,, ,,,, ,,, ,, .,


RECORD 01


139 (CELLS l-6)

: NO SUPPRESSION SUPPRESSION

SUPFLG17 1 221 221 A OWNER-OCCUPIED NOUSING UNIT

“;‘;J; BLACK NOUSENOLDER SUPPRESSION

SUPFLGlB I 222

A 1 IN TltIS FIELD INDICATES SUPPRESSION BECAUSE THERE ARE FEWER THAN 10 BLACK HDUSE- NOLDERS IN THE OWNER-OCCUPIED CATEGORY OF THE GEOGRAPtlIC AREA BEING SUMMARIZED OR CDMPLEMENTARY SUPPRESSION IS APPLIED. THIS AFFECTS THE FOLLOWING TABLE:

115 (CELLS 7-12)

i ND SUPPRESSION SUPPRESSION

222 A OWNER-OCCUPIED HOUSING UNIT

WITH ANERICAN INDIAII, ESKIMO. AND ALEUT HOUSEHOLDER SUPPRESSIDN FLAG

[AN,

A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE THERE ARE FEWER THAN 10 AMERICAN INDI ESKIHO. AtlD ALEUT HOUSEHGLDERS 1N THE OWNER-OCCUPIED CATEGORY OF THE GEOGRAPNIC AREA BEING SUMMARIZED OR COMPLEMENTARY SUPPRESSION IS APPLIED. THIS AFFECTS THE FOLLOWING TABLE:

135 (CELLS 13-18)


RECORD 01

SIZE/ NAME SCALE

SUPFLG19 I

SUPFLGZO 1

RELATIVE DATA BEGIN BEGIN TYPE

04/29/82


223 223 A OWNER-OCCUPIED HOUSING UNIT

WITH ASIAN AND PACIFIC ISLANDER NOUSEIIOLDER SUPPRESSION FLAG

‘ACIFIC

135 (CELLS 19-24)

NO SUPPRESSION SUPPRESSIOtt

224 22* A OWNER-OCCUPIED HOUSING UNIT

;;I”0 SPANISH HOUSEHOLDER SUPPRESSION

0 I

A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE THERE ARE FEWER THAN IO SPANISH ORIGIN tlOUSENOLDERS Itl TtlE OWNER-OCCUPIED CATEGORY OF THE GEOGRAPtlIC AREA BEING SUMMARIZED OR ;;‘p’c7:;~ENTARY SUPPRESSION IS

THIS AFFECTS THE FOLLOWIitG TABLE:

136

tI0 SUPPRESSION SUPPRESSION

~, I .(,;I ., ,,;I ^, .; ..;, ‘.

i


RECORD 01


SUPFLG21 1 225 225 A RENTER-OCCUPIED HOUSING UN11

SUPPRESSION FLAG

125 127-132

0 NO SUPPRESSION I SUPPRESSION

SUPFLG22 1 226 226 A RENTER-OCCUPIED HOUSING UNIT

‘;‘::“o WHITE HOUSEHOLDER SUPPRESSION

SUPFLG23 1

125 (CELLS l-5)


227 227 A RENTER-OCCUPIED UOUSING UNIT

WITtl BLACK HOUSEHOLDER SUPPRESSION

STFJ DATA DIClIOtIARY 04/29/(12

WECORD 01

MANE SIZE/ RELAIIVE DATA SCALE BEGIN BEGIN TYPE

FLAG

SUPFLG24

i

I 226 228

125 (CELL.5 6-10)


A RENTER-OCCUPIED UOUSING UNIT

WITH ANERICAN IttDIAN. ALEUT SUPPRESSION FLAG

ESKItlD, AND

SUPFLG25 I 229 229


A RENTER-OCCUPIED UOUSING UNIT

WITII ASIAN AND PACIFIC ISLANDER SUPPRESSION FLAG

SlF3 DATA DICTIONARY 04/29/82


RECORD 01

DATA TYPE

125 (CELLS 16-20)


I

SUPFLG26 1 230 230 A I RENTER-OCCUPIED HOUSING UNIT

‘;‘::“G SPANISH NOUSEHOLDER SUPPRESSION

A 1 IN THIS FIELD INUICATES SUPPRESSION BECAUSE TtlERE ARE FEWER THAN 10 HOUSING UNITS IN 1tlE RENTER-OCCUPIED CATEGORY OF TtlE GEOGRAPtlIC AREA BEING SUMMARIZED OR ~;~~;~tEN’ARY SUPPRESSION IS

. 1NIS AFFECTS THE FOLLOWING TABLE:

126

f NO SUPPRESSION SUPPRESSION

SUPFLG27 1 231 231 A OWNER/RENTER OCCUPIED tIOUSING

UNIT SUPPRESSION FLAG

A 1 IN THIS FIELD INDICATES SUPPRESSION BECAUSE TIIERE ARE FEWER THAN 10 tlOUSING UNITS IN EITtlER OR BOTH THE OWNER AND

,.


RECORD 01

SIZE/ RELATIVE DATA

NANE SCALE BEGIN DEGIN TYPE NUE:FSoF

9 253 253 A 3

URBAN AND RURAL (3)

THIS TABLE HAS NO SUPPRESSION

UNIVERSE: PERSONS

NOTE: 10 OBTAIN URBAN COUNT. SUBTRACT RURAL FROM TOTAL.

SEE FOOTNOTE 50

TOTAL :tfK$E URIIANIZED AREAS

9 280 2e.o A 1

UNWEIGHTEO SAllPLE COUNT OF PERSONS (1)

THIS TABLE HAS NO SUPPRES~IDN

UNIVERSE: UNWEIGHTED SANPLE COUNT OF PERSONS

UNWEIGHTEO SAMPLE COUNT OF PERSONS

9' 269 289 A 1

IOO-PERCENT COUNT OF PERSONS (1)


UNIVERSE: lOO-PERCENT COUNT OF PERSONS

SEE FOOlNOTE 36

loo-PERCENT COUNT OF PERSONS

---_-- -


RECORD 01

NAME SIZE/ REl.ATIVE DATA NURDER OF SCALE BEGIN BEGIN TYPE CELLS

TABLE 4 9 298 290 A (TAB4,

URBAN AND RURAL (3,

3


UNIVERSE: tlOUSING UNITS TINCLUDING VACANT SEASONAL AND MIGRATORY UNITS,

NOTE: 10 OBTAIN URBAN COUNT, SUDTRACT RURAL FROM TOTAL.

SEE FOOTNOTE 1 50

TOTAL INSIDE URBANIZED AREAS RURAL

TABLE 5 9 325 325 A 1 (TABS,

UNWEIGtlTED SANPLE COUNT OF HOUSING UNITS (INCLUDING VACANT SEASONAL AND MIGRATORY UNITS, (1,

THIS TABLE UAS NO SUPPRESSION

UNIVERSE: UNWEIGHTED SAHPLE COUNT OF tlOUSING UNITS TItICLUDING VACAtlT SEASONAL AND MIGRATORY UtIITS,

SEE FOOTNOTE 1

UNWEIGIITEO SAMPLE COUNT OF HOUSING UWITS ( INCLUDItIG VACAWT SEASONAL AND MIGRATORY UNITS,

_“~ ,,,.,,,,.,, ,.,,, ,,, ,,, ..,,,, ,,,,,.,,” .,,, “,.. ,.~., ,,, ,.,, ,,.,, ,,, ,,, ,,, ,,, ,,, ,,, ,,,,

SlF3 DATA DICTIONARY 04/29/B2

RECORD 01

NAME SIZE/ RELATIVE DATA NUtlBER OF SCALE BEGIN BEGIN TYPE CELLS

TABLE 6 (TAB61

9 334 334 A 1

100-PERCENT COUNT OF HOUSING UNITS T INCLUDItlG VACANT SEASONAL AND NIGRATORY UNITS (1)


UNIVERSE: 100-PERCENT COUNT OF HOUSING UNITS TINCLUDING VACANT SEASONAL AND MIGRATORY UNITS)

SEE FOOTNOTE 1 38

IOB-PERCENT COUNT OF HOUSING UNITS TINCLUDING VACANT SEASONAL AND HIGRATORY UNITS)

TABLE 7 9 343 343 A (TAB71

FARM RESIDENCE [CURRENT FARH DEFINITION) (2)

2


UNIVERSE: PERSONS IN RURAL AREAS

SEE FOOTNOTE 2

RURAL FARM NONFARN

TABLE B 9 361 361 A 2 TlABB)

FARM RESIDENCE (1970 CENSUS FARM OEFINIlION) (2)


UNIVERSE: PERSONS IN RURAL AREAS

SEE FOOTNOTE 2

RIJRAL FARM NONFARN

SlF3 DATA DICl IONARY 04/29/82

RECORD 01

SIZE/ RELATIVE DATA NUNBER OF WANE SCALE BEGIN BEGIN TYPE CELLS

TABLE 9 9 379 379 A 1 (TAB’))

FANILIES (1)

SUPFLGO6 APPLIES TO ALL CELLS

UNIVERSE: FAtlILIES

FAHILIES

9 3m 380 A

NOUSEIIOLDS (I)


UNIVERSE: UOUSENOLDS

SEE FOOTtlOlE 3

IIOUSEHOLDS

TABLE 11 9 397 397 A (TABll)


THIS TABLE NAS NO SUPPRESSION


SEE FOOTNOTE 3

TOTAL

E%‘”

TABLE 12 9 42+ 424 A 17 (TAB12t

RACE (17)

FOOTNOTE 53 ALSO APPLIES TO TABLE 12.

THIS TABLE IIAS NO SUPPRESSION

NAME

x3:’

,,.,,,,, ,, ,“, ,,.,,, ,, -, ,,,,,,, ,, ,, ,,,,, -,,,,,,,,

STFS DATA DICTIONARY 04/29/B2

RECORD 01

SIZE/ RELATIVE DATA NUHBER OF SCALE BEGItt BEGIN TYPE CELLS

UNIVERSE: PERSONS

SEE FOOTNOTE 6 5 6 57

WI IITE .ACK !I IERICAN INDIAN. ESKIHO, AND

;Pl:l;;AN INDIAN

ALEUT ASIAN AND PACIFIC ISLANDER:

JAPANESE CHINESE FILIPINO KOREAN ASIAN INDIAN VIETNAMESE IIAWAI IAN GUAMANIAN SAMOAN “T”FP “. ..-..

OTHER (RACE N.E.C.1: _ _ . . . _ - . WA”l>ll NOT SPANISH

9 577 577 A

SPANIStl ORIGItl AND RACE (6)


UNIVERSE: PERSONS

SEE FOOTNOTE 4 5

ALEUT:

NOT OF SPANISII ORIGIN MEXICAN PUERTD RICAN CUBAtl OTtlER SPANISH:

WHITE, BLACK, AMERICAN INDIAN, ESKIMO, ALEUT. AWD ASIAN AND PACIFIC ISLANDER

OTHER (RACE N.E.C.)

6

-_--.-


RECORD 01

SIZE/ RELATIVE DATA NUNDER OF MANE SCALE BEGIN BEGIN TYPE CELLS

TABLE IQ 9 631 631 A (TAB141

RACE (5)


UNIVERSE’ PERSONS OF SPANISH ORIGIN

SEE FOOTNOTE 4 5

TOTAL WHITE BLACK AMERICAN INOIAtI. ESKIMO, ALEUT,

AND ASIAN AND PACIFIC ISLANDER OTHER (RACE N.E.C.)

TABLE 15 9 676 676 A TlAB15)

SEX (2) BY AGE (26)

SUPFLGOI APPLIES TO All CELLS

UNIVERSE: PERSONS

THE STRATIFIERS ARE SEX BY

AGE

TOTAL: UNDER I YEAR 1 AtlD 2 YEARS 3 AtID 4 YEARS 5 YEARS 6 YEARS 7 TO 9 YEARS 10 TO 13 YEARS IS YEARS 15 YEARS 16 YEARS 17 YEARS 16 YEARS 19 YEARS 20 YEARS 21 YEARS 22 10 24 YEARS 25 TO 29 YEARS

52

STF3 DATA DICTIONARY 0’1/29/B2

RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIN TYPE CELLS

30 TO 34 YEARS 35 TO 44 YEARS 45 TO 54 YEARS 55 TO 59 YEARS 60 AND 61 YEARS 62 TO 64 YEARS 65 TO 74 YEARS 75 TO 84 YEARS 115 YEARS AND OVER

FEMALE: REPEAT AGE (26)

TABLE 16 9 1144 1144 * . 50 (TAB161

RACE (4) BY SEX (2) BY AGE (5)

SUPFlG02 APPLIES 10 CELLS l-10 SUPFlG03 APPLIES TO CELLS 11-20 SUPFLGOQ APPLIES TD CELLS 21-30 SUPFlG05 APPLIES TO CELLS 31-40

UNIVERSE: PERSONS OF SPECIFIED RACES

SEE FOOTNOTE 4

THE STRATIFIERS ARE RACE BY

SEX BY AGE

WNITE: lOTA :

UNDER 5 YEARS 5 TO 14 YEARS 15 TO 59 YEARS 60 TO 64 YEARS 65 YEARS AND OVER

FEMALE: REPEAT AGE (5)

BLACK: REPEAT SEX BY AGE(10)

AMERICA11 INDIAN. ESKiMG. AN0 ALEUT: REPEAT SEX BY AGE(lO)

HARE


RECORD 01


ASIAN AND PACIFIC ISLANDER: REPEAT SEX BY AGE (10)

TABLE 17 9 1501 1506 A (TAB171

SEX (2) BY AGE (5)

SUPFlG06 APPLIES TO All CELLS

04/29/B2

NUMBER OF CELLS

10

UNIVERSE: PERSONS OF SPANISH ORIGIN


AGE

TOTAL : UNDER 5 YEARS 5 TO 14 YEARS 15 TO 59 YEARS 60 TO 61 YEARS 65 YEARS AND OVER

FEMALE: REPEAl AGE (5)

1ABlE 16 9 1594 1596 A CTABlB)

PERSONS IN NOUSEHOlO (6)

SUPFLGOB APPLIES 10 All CELLS

UNIVERSE: HOUSEHOLDS

SEE FDOTNDTE 7

1 PERSON 2 PERSONS 3 PERSONS I PERSONS 5 PERSOtIS 6 OR NORE PERSONS

STF3 DAlA DICTIONARY 04/29/B2

RECORU 01

NAME SIZE/ RELATIVE DATA SCALE BEGIN DEGIH TYPE

tlUtl;l;sOF

9 1648 1648 A 9

tIOUSEtlOlD TYPE AND RElATIONSllIP (9)

SUPFLGOl APPLIES TO ALL CELLS

UNIVERSE: PERSONS

SEE FOOTNOTE B 9

IN FANILY IIDUSENOLO~ tll~;~~O”DER

OTNER RELATIVES NONRELATIVES

IN NONFAMILY IIOUSEtIOLD: MALE IIOUSENOLDER FENALE HOUSEIIOLDER NONRELATIVES

IN GROUP QUARTERS: INNATE OF INSTITUTION OlNER

FILLS 288 1729 1729 A

“. ,., ..,., ,,1~ ..,,

FILLER

i


RECORD 01

SIZE/ RELATIVE DATA NUMBER OF NANE SCALE BEGIN BEGIN TYPE CELLS

UISl 102 2017 1 A UNIVERSAL IDENTIFIER SECTION THE CHARACTERS IN THIS FIELD ARE IOENTICAl TO THE FIRST 102 CHARACTERS OF THE RECORD.

TABLE 20 9 2119 103 A 35 TTAB20)

RACE OF NOUSENOlOER (5) BY NOUSEHOlO~ TYPE AND PRESENCE OF OWN CHILDREN (77

SUPFLGOB APPLIES TO CELLS 1-7 SUPFlG09 APPLIES TO CELLS O-lk SUPFlGlO APPLIES 10 CELLS 15-21 SUPFlGll APPLIES TO CELLS 22-28 SUPFlGl2 APPLIES TO CELLS 29-35


SEE FOOTNOTE 4 10 11

THE STRATIFIERS ARE RACE OF NOUSENOlOER BY

HOUSEHOLD TYPE AND PRESENCE OF OWN CHILDREN

TOTAL: MARRIED-COUPLE FAMILY:

WIltI OWN CHILDREN WIlHOUT OWtl CHILDREN

FAMILY WIltI MALE HOUSENOlOER. NO WIFE PRESENT:

WITH OWN CtIIlDREN WIltlOUT OWtl CHILDREN

FAMILY WITH FEMALE HOUSEHOLDER. NO HUSBAND PRESEtIT:

WITtI OWN CtlILDREN WITHOUT OWN CHILDREN

NONFAMILY NOUSEHOlO

WttIlE: REPEAT tlOUSEtIOlO TYPE AND PRESENCE OF OWN CHILDREN (7)

BLACK: REPEAT tlOUSEllOLD TYPE AND PRESENCE OF OWN CIIILDREN (7)

AMERICAN ItlDIAtt, ESKIMO. All0 ALEUT: REPEAT tlOUSEtlOlD TYPE AtID PRESENCE OF OWN CIIILDREN (7)

. .

-


RECORD 01

NAME SIZE/ RFLATIVE DATA NUMBER OF SCALE BEGItl BEGIN TYPE CELLS

ASIAN AND PACIFIC ISLANDER: REPEAT HOUSEHOLD TYPE AND PRESENCE OF OWN CHILDREN (7)

TABLE 21 9 2434 410 A 7 (TAB21t

NOUSEHOLD TYPE AND PRESENCE OF OWN CtlILDREN (7)

SUPFLG14 APPLIES TO ALL CELLS

UNIVERSE: HOUSEHOLDS WITH NOUSE- HOLDER OF SPANISH ORIGIN

SEE FOOTIIOTE 10 11

MARRIED-COUPLE FANILY: WITH OWN CHILDREN WITtIOUl OWN CHILDREN

FAMILY WITtl MALE HOUSEtlOlDER, NO WIFE PRESENT:

WITH OWN CHILDREN WITHOUT OWN CHILDREN

FAMILY WITH FEMALE NOUSEtIOlDER. NO HUSBAND PRESENT:

WITH OWN CHILDREN WITIIOUT OWN CHILDREN

NONFAMILY tlOUSEHOl0

TABLE 22 15 2497 481 A (TAB221

FAMILY TYPE (3)

3

SUPFlGOl APPLIES TO ALL CELLS

UNIVERSE: OWN CtIIlDREN

SEE FOOTNOTE 10 12

IN MARRIED-COUPLE FAMILY Ill FAtlIlY WIlN MALE NOUSEIIOLDER.

NO WIFE PRESENT IN FAMILY WITN FEMALE IlOUSEllOlDER,

NO HUSBAND PRESENT


RECORD 01

NAME SIZE/ RELAlIVE DATA NUIIBER OF SCALE BEGIN BEGIN TYPE CELLS

TABLE 26 9 26011 592 A (TAB26t

SEX (2) BY MARIlAl STATUS (5)

SUPFlGOl APPLIES TO All CELLS

UNIVERSE: PERSOHS 15 YEARS AND OVER


MARITAL STATUS

10

MALE: SINGLE NOW NARRIED. EXCEPT SEPARATED SEPARATED WI OOWED DIVORCED

FEMALE: REPEAT MARITAL STATUS (St

TABLE 27 9 2690 682 A 10 (TAB27 t

AGE (2) BY LANGUAGE SPOKEN AT HOME AND ABILITY 10 SPEAK ENGLISH (5)

SUPFLGOl APPLIES TO All CELLS

UNIVERSE: PERSONS 5 YEARS AND OVER

SEE FOOTNOTE 39 53

THE STRATIFIERS ARE AGE BY

LAtlGUAGE SPOKEN AT HOME AND ABILITY TO SPEAK EltGlIStt

5 TO 17 YEARS: SPEAK ONLY EtlGLIStl Al HOME SPEAK A LANGUAGE OTHER TtlAN ENGLISH

AT IIOME: spAiirsii LANGUAGE SPOKEN AT HOME:

SPEAK ENGLISH VERY WELL OR WELL SPEAK ENGLISII NOT WELL OR NOT AT All

,,, ,,,, ,,,,,, ,,,,, ,, ,,, ,, ,,, ,,

STF3 DATA DICTIONARY O’i/29/2.2

RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER DF SCALE BEGIN BEGIN TYPE CELLS

OltlER LANGUAGE SPOKEN AT HO”’ (All OTHER CODES): F (REPEAT ABILITY TO SPEAK EkGlISH)

18 YEARS AND OVER: REPEAT LANGUAGE SPOKEN AT HOME’ AND ABILITY TO SPEAK ENGLISH (51

TABLE 26 9 27118 772 A I 19 (TAB281

ANCESTRY (19)

SUPFlGOl APPLIES TO All CELLS

UNIiERSE: PERSONS


SINGLE ANCESTRY GROUP: DUTCH ENGLISH FRENCH GERMAN GREEK HUNGARIAN IRIStI ITALIAN NORIJEGIAN POLISH PORlUGUESE RUSSIAN

.SCOlTISN St.JEDIStl UKRAINIAN OltlER (All OTtIER SINGLE ANCESTRY CODES

NULTIPLE ANCESTRY GROUP ANCESTRY tIO1 SPECIFIED:

OTHER NOT REPORTED

NAME

STF3 DATA DICTIfltlARY 04/29/B2

RECORD 01

SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIN TYPE CELLS

9 2959 943 A

ANCESTRY (6)

6


UNIVERSE: PERSONS IN SELECTED MULTIPLE ANCESTRY GROUPS

SEE FOOTNOTE 1% 60

ENGLISH AND OTIIER GROUP(S) FRENCH AND OTHER GROUP(S) GERMAN AND OTltER GROUP(S) IRISH AND OTHER GROUP(S) ITALIAN AND OTHER GROUP(S1 POLISH AND OTHER GROUP(S)

9 3013 997 A

AGE 0) BY MARITAL STA?US (2)


UNIVERSE: FEMALES 15 TO 44 YEARS

SEE FOOTNOTE 15

TII:~;T;;TIFIERS ARE

MARITAL STATUS

“,;;,f: YEARS:

EVER MARRIED

25 TO 3’1 YEARS: REPEAT MARITAL STATUS (2)

35 TO 44 YEARS: REPEA, MARITAL STAIUS (2)

,

6

.

KX

::::v

( STF3 DATA DIClIOtIARY 04/29/bZ

RECORD 01

SIZE/ RELATIVE DATA SCALE BEG111 bEOlII iYPE

)IU;tmISOF

15 50&l 1051 A 5

AOGHEGAI~ llUrliiER OF CllILDREll EVER BORII BY AGE 131

SUPFLCi91 APPLIES 10 All CELLS.

UIIIWERSE: FEIIALES

SEE FOOTllOTE 12

15 TO 44 YEARS

15 TO 24.YEAHS 25 10 14 YEAHS 35 10 44 YEAKS

.

9 5112 1091 A b

TYPE OF GROUP QUARIERS (6)

~UFFLOOl AI'PLIES 10 ALL CELL5

UlllVERSEl PERSOIIS Ill OROUP QUARTERS

SEE FOOTllUlE 41

IIUIAIE bF liEtITA1 IIOSPITAL (CODES 45-48)

1lltlAlf OF IIUHE FOR IIIE AGED (conE5 60-65, 71-751

‘NtiAlE OF OlllER 11151111111011 CCOOSS 1-I. 10-11, 28-27. 29-42, 50-5s. 55)

CELL NOT USW 55/ ‘III COLLEGE DDRliIlORY (CODE 67)

PIhER It1 OROUI’ 4UARlEtlS (CODE1 ai- Lb, as. 91-95, 95-901

9 3166 115p A 4

NATIVITY AIID PLACE UF 31RTll (41

SUP~lOOl APPLIE5 TO ALL CELLS

UIIIVERSEI PERSOUS

IIATIVEt bORll Ill 5lAlE OF RESIDElICE

STFJ DATA OlC110tlARY OW291ll2

RECORD 01

SIZE/ RELAIIVE DATA IIAIIE SCALE BEGIll DEOIII 1YPE

tlU~~~,"F

BORtI it1 DIFFERElI STATE BOWll AllROAD, At 5EA, ETC.

FDRElGll DDRII

9 3202 ;1lM A a

RESIDEtICE ItI 1975--STATE AU0 COUIITY LEVEL (B)

lUPFLOO1 APPLIES 10 ALL CELLS

UIIIVERSEI iERSOtl3 3 YEARS AIID OVER

SAtIE 110115E DIFFER~IIl IIOUSE XII UllIlEII

SAHE coUtllY DIFFERElI COUtIlY~

SAW' SIAIE DIFFEREIII SlAlEs

iIlIA1IIEASl :';II;~; CEIIIRAL

LIE51

IlAlEl'

ABROAD

EEL:” 9 5274 1258 A- b

RESIDEUCE III 1975--StISA LEVEL (61

WPFLCOI APPLIE5 10 ALL CELLS

UIIIVERSEI PERSOtl5 5 YEARS AUD OVEP

LlVIttG 111 Atl SIISA IN 198Ot .SAttE StlSA It1 19lSl

CEUIKAL CZIY DF IllIS Sn5A REtIAIUDCH OF Ill15 SIISA

OUYSIflE 11115 SEiSA Ill 19751 OIFFEHEIII StlSA III 19I5 IIDI Ill Atl Stl5A Ill 1975

II01 LIVIHO III All SHSA It1 19llOl III All SIISA III 1975 tIO1 It1 All SPISA 111 1975

0 .

.

_. . . . .

.--.-.-- ..-_-I_. “__” _ . . . ..-.... ,......-. -.-. _... . . . . _.._^..

i

E

SlF3 DATA DICTIONARY 04/29/B2

RECORD 01


::%6:6 9 3323 1312 A 4

PLACE OF WORK--STATE AND COUNTY LEVEL (4

SUPFLGO’ APPLIES TO ALL CELLS

UNIVERSE: WORKER5 16 YEARS AND dVER

SEE FOOTNOTE 16 45

WORKED IN STATE OF RESIDENCE: UORKED IN COUNTY OF RESIDENCE WORKED OUTSIDE COUNTY OF RESIDE’NCE

WORKED OUTSIDE STATE OF RESIDENCE NOT REPORTED

I

TABLE 37 9 3364 1348 A / 4 (TAB371

PLACE OF WORK--PLACE LEVEL (4) I

SUPFLOOl APPLIES TO ALL CELLS

UNIVERSE: WORKER5 16 YEARS AND OVER


LIVINO IN AN IDENTIFIED PLACE: UORKED IN PLACE OF RESIDENCE WORKED OUTSIDE PLACE OF RESIDENCE NOT REPORTED

NOT LIVING IN AN IDENTIFIED PLACE

9 3400 13B4 A 5

PLACE OF WORK--3tlSA LEVEL (5)

SUPFLGO’ APPLIES TO ALL CELLS

UNIVERSE: UORKERS 16 YEARS AND OVER

SEE FOOTNDTE 16 45 46

LIVING III AN 5MSA: WORKED IN 5tl5A OF RESIDENCE:

CENIRAL CITY OF THIS SMSA REMAINDER OF TtlI5 SMSA

STFJ DATA DlCTlONARY 04/29/B2

RECORD 01


WORKED OUTSIDE SMSA OF RESIDENCE NOT REPORTED

NOT LIVING IN AN SMSA

TABLE 39 9 3445 1429 A 3 (TAB39)

PLACE OF WORK--MINOR CIVIL DIVISION LEVEL (31


UNIVERSE: WORKERS 16 YEARS AND OVER LIVING III THE 9 NORTHEASTERN STATES

SEE FOOTNOTE 16 45

WORKED IN MINOR CIVIL DIVISION OF RESIDENCE

WORKED OUTSIDE MINOR CIVIL DIVISION OF RESIDENCE

NOT REPORTED

TABLE 40 9 3472 1456 (TAB40)

MEANS OF TRANSPORTATION

SUPFLGOl APPLIES TO ALL

UNIVERSE: WORKERS 16


A 6

TO WORK (6) ;

CELLS ,

YEARS AND OVER

CAR, TRUCK, OR VAN: DRIVE ALONE CARPOOL

PUBLIC TRANSPORTATION WALKED ONLY OTUER PlEANS WORKED AT NONE

c

115

NAME


RECORD 01


DRIVE ALONE IN Z-PERSON CARPOOL IN 3-PERSON CARPOOL IN A-PERSON CARPOOL IN 5-OR MORE PERSON CARP001

:%E4:4 9 3658 1642 A

SCHOOL ENROLLMENT (4)

011/29/B2

NUMBER OF CELLS

4

SUPFLOOI APPLIES TO All CELLS

UNIVERSE: PERSONS 3 YEARS OLD AND OVER ENROLLED IN PRIVATE SCHOOL

NURSERY SCHOOL “1~~~~~~““” AND ELEMENTARY (I TO B

~;ft&tlOOL (1 TO 4 YEARS)

::zi:5:5 9 3694 16711 A 20

RACE (5) BY SCNOOL ENROLLMENT (4)

SUPFLOOl APPLIES TO CELLS 1-Q SUPFLOOZ APPLIES TO CELLS 5-B SUPFLO03 APPLIES TO CELLS 9-12 SUPFLO04 APPLIES TO CELLS 13-16 fUPFLO05 APPLIES TO CELLS 17-20

UNIVERSE: PERSONS 3 YEARS OLD AND OVER ENROLLED ItI SCHOOL

SEE FOOTNOTE 4

TN;A;:R;;IFIERS ARE

SCHOOL ENROLLMEN

TOTAL: NURSERY SCtlOOL KINDERGARTEN AND ELEMENTARY (1 TO a


RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN DEOIN TYPE CELLS

YEARS) NIGH SCHOOL (1 TO 4 YEARS) COLLEGE

WHITE: REPEAT SCHOOL ENROLLt’lENT (4)

BLACK: REPEAT SCHOOL ENROLLMENT (4)

AMERICAN INDIAN, ESKIMO. AND ALEUT: REPEAT SCUOOL ENROLLIlENT (4)

ASIAN AND PACIFIC ISLANDER: REPEAT SCHOOL ENROLL~IENT (4)

TABLE 46 9 3B74 11156 A (TAB46)

SCHOOL ENROLLHENT (4)

SUPFLOO6 APPLIES TO ALL CELLS

4

UNIVERSE: PERSONS OF SPANISH ORIGIN 3 YEARS OLD AND OVER ENROLLED IN SCHOOL

NURSERY SCHOOL KINDERGARTEN AND ELEIIENTARY (1 TO t3

YEARS) F;;;E;;NOOL (1 TO 4 YEARS)

xE7:’ 9 3910 1894 A 8

SCHOOL ENROLLPIENT. YEARS OF SCHOOL COMPLETED AND LABOR FORCE STATUS (6)

SUPFLGOl APPLIES 70 ALL CELLS

UNIVERSE: PERSONS 16 TO 19 YEARS OLD

SEE FOOTNOTE 45

ARMED FORCES CIVILIAN:

ENROLLED IN SCNOOL NOT ENROLLED IN SCHOOL: HIOIl SW001 GRADUATE:

,. ,,,,” ,,,,..,., ,,,,,


RECORD 01


EMPLOYED UNEMPLOYED NOT IN LABOR FORCE

NOT NIGtt SW001 GRADUATE: EMPLOYED UNEPIPLOYED NOT IN LABOR FORCE

51 3982 1966 A

,’ ‘,, ,,, ,,, ,,, ,,,,,,,,, ,,,, ,, ,,, ,, ,,, ,,, ,,,

_~ .~ ~-.,-.- --( .-_-_.-_-... .- ..- .-,

STFJ DATA DICTIONARY 04/29/B2

RECORD 01

NINE

UISZ

SIZE/ RELATIVE DATA NUflBER OF SCALE BEGIN BEGIN TYPE CELLS

102 4033 1 A UNXVERSAL IDENTIFIER SECTION THE CHARACTERS IN THIS FIELD ARE IDENTICAL TO TtlE FIRST 102 CHARACTERS OF THE RECORD.

TABLE 46 9 4135 103 A 25 (TAB46)

RACE (5) BY YEARS OF SCHOOL COMPLETED (5)

SUPFLGOI APPLIES TO CELLS l-5 SUPFLGOZ APPLIES TO CELLS 6-10 SUPFlGO3 APPLIES TO CELLS 11-15 SUPFLOO4 APPLIES TO CELLS 16-20 SUPFLOOS APPLIES TO CELLS 21-25

UNIVERSE: PERSONS 25 YEARS OLD AND OVER

SEE FOOTNOTE 4


YEARS OF SCHOOL COMPLETED

TDTAL 2 ELEttENTARY CO TO B HIGH SCHOOL:

1 TO 3 YEARS 4 YEARS

COLLEGE: 1 TO 3 YEARS 4 OR MORE YEARS

YEARS)

WHITE: REPEAT YEARS OF SCHOOL COtlPLETED (5)

BLACK: REPEAT YEARS OF SCHOOL COMPLETED (5)

ANERICAN INDIAN, ESKlt\O, AND AlEUTt REPEAT YEARS OF SC11001 COMPLETED (5)

ASIAN AND PACIFIC ISLANDER: REPEAT YEARS OF SCHOOL COtlPLETED (5)

__ __ _-- -_ -_- __ ____. _--


RECORD 01

SIZE/ RELATIVE DATA NUMBER OF NAME SCALE BEGIN BEGIN TYPE CELLS

:::Lg:9:9 9 4360 32a A 5

YEARS OF SCHOOL COMPLETED (5)


UNIVERSE: PERSONS OF SPANISH ORIGIN 25 YEARS OLD AND OVER

ELEMENTARY CO TO B YEARS) NIGH SCNOOL:

1 TO 3 YEARS 4 YEARS

COLLEGE: 1 TO 3 YEARS 4 OR MORE YEARS

TABLE 50 9 4405 373 A 5 (TAB507

YEARS OF SCHOOL COMPLETED (51

SUPFLGOI APPLIES TO ALL CELLS

UNIVERSE: PERSONS 18 YEARS OLD AND OVER

ELEMENTARY CO TO B YEARS) TNROUGN NIGH SCNOOL. 1 TO 3 YEARS

;;tWE;ENOOL. 4 YEARS

1 TO ; YEARS 4 YEARS 5 OR MORE YEARS

TABLE 51 9 4450 41a A 4 (TAB511

SEX (2) BY VETERAN STATUS (2)


UNIVERSE: CIVlLIAtt PERSONS 16 YEARS AND OVER


VETERAN STATUS

,,, ,,, ;,1 ,__ ___( ,(, ,,, ,,


RECORD 01

NANE SIZE/ RELATIVE SCALE BEGIN BEGIN

MALE: VETERAN NONVETERAN

DATA TYPE

FEFtALE: REPEAT VETERAN STATUS (2)

TABLE 52 9 4486 454 A (TAB527

PERIOD OF SERVICE (67

SUPFLGOI APPLIES 10 ALL CELLS

04/29/82

NU:ESoF

6

UNIVERSE: Cf;IkLI;; VETERANS 16 YEARS

SEE FOOTNOTE 20 46

UAY 1975 OR LATER ONLY VIElNAFt ERA KOREAN CDNFLICT UORLD WAR II ‘dNt:p: WAR I

9 4540 508 A

WORK DISABILITY STATUS (47

SUPFLGOI APPLIES 10 ALL CELLS

UNIVERSE: NONlNSlIlUTIONAL PERSONS 16 TO 64 YEARS

SEE FOOTNOTE 41 45

WITH A WORK DISABILITY: IN LABOR FORCE NOT IN LABOR FORCE:

PREVENTED FROtl WORKING NOT PREVENTED FROM WORKING

NO WORK DISABILITY

^. -..

NAIIE

STF3 DATA UICTIONARY 04/29/B2

RECORD 01

SIZE/ RELATIVE DATA NUWBER OF SCALE BEGIN BEGIN TYPE CELLS

::zi:4:4 9 4576 544 A 4

AGE (2) BY PUBLIC TRANSPORTATION DISABILITY STATUS (2)


UNIVERSE: NONINSTITUTIONAL PERSONS 16 YEARS AND ‘OVER

SEE FOOTNOTE 41

lH~G~T~FITIFIERS ARE

PUBLIC TRANSPORTATION DISABILITY STATUS

16 TO 64 YEARS: WITH A PUBLIC lRAN.5PORlAlION DISABILITY NO PUBLIC TRANSPORTATION DISABILITY

65 YEARS AND OVER: REPEAT PUBLIC TRANSPORTATION DlSA~lLllY STATUS (2)

:::::5:5 0 4612 580 A 60

RACE (5) BY SEX (2) BY LABOR FORCE STATUS (4)

SUPFLCOl APPLIES TO CELLS 1-B SUPFLGOZ APPLIES TO CELLS 9-16 SUPFLOO3 APPLIES 10 CELLS 17-24 SUPFLGO’, APPLIES TO CELLS 25-32 SUPFLOO5 APPLIES TO CELlS 33-40


SEE FOOTNOTE 4 45


SEX BY LADOR FORCE STATUS

TOTAL : MALE:

LABOR FORCE:

-

-.


RECORD 01


ARMED FORCES CIVILIAN LABOR FORCE:

EMPLOYED UNEMPLOYED

NOT IN LABOR FORCE

FEFTALE: REPEAT LABOR FORCE STATUS (4’

uti’ I

BL&&

AFli

REPEAT SEX BY LABOR FORCE STATUSLB’

,.&AT SEX BY LABOR FORCE SlAlUS ‘(6’ ERICAN INDIAN, ESKItlO. AND ALEUTI

E STATUS (8) Lal.“n”cd:

REPEAT SEX BY LABOR FORCI ASIAN AND PACIFIC r”“‘“‘”

REPEAT SEX BY LAi BOR FORCE STATUS TB’

ITE:

:::::6? 9 4972 940 A a

SEX (2’ BY LABOR FORCE STATUS (41


UNIVERSE: PERSONS OF SPANISN ORlOIN 16 YEARS AND OVER

SEE FOOTNOTE 45

TH:E;TitTTlFIERS ARE

LABOR FORCE STATUS

FtALE: LABOR FORCE:

ARMED FORCES CIVILIAN LABOR FORCE:

ENPLOYED UNEMPLOYED

NOT IN LABOR FORCE

FEMALE: REPEAT LABOR FORCE STATUS (4’

._ - -, ,,,~ “. x ,. ,, ,,, ,,, ,, ,. .,,,,


RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE DEOIN BEGIN TYPE CELLS

TABLE 57 9 5044 1012 A 4 (TAB571

PRESENCE AND AGE OF OWN CHILDREN (2) BY LABOR FORCE STATUS (27

SUPFLOOI APPLIES TD ALL CELLS

UHIVERSE: FEMALES 16 YEARS AND OVER WITtl ONE OR MORE OWN CHILDREN


THE STRATIFIERS ARE PRESENCE AND AGE OF OWN CNILDREN BY

LABOR FORCE SlATUS

WITN OWN CHILDREH UNDER 6 YEARS: IN LABOR FORCE NOT IN LABOR FORCE

WITH OWN CHILDREN 6 TO 17 YEARS ONLY2 REPEAT LABOR FORCE STATUS (2)

Kkx 9 5080 1048 A 8

“E:9;‘,‘C~; LABOR FORCE STATUS IN




LABOR FORCE STATUS IN 1979

MALE: IN LABOR FORCE IN 1979:

WORKED IN 1979: IIITN UNEEIPLOYMENT IN 1979 110 UNEMPLOYMENT IN 1979

DID NOT NORK IN 1979, WITtl UNEEIPLOYHEIIT IN 1979

NOT IN LABOR FORCE IN 1979


RECORD 01


FEIIALE: REPEAT LABOR FORCE STATUS IN 1979 (4’

:::::9:9 9 5152 1120 A 16

SEX (21 BY USUAL HOURS WORKED PER WEEK IN 1979 62’ BY WEEKS WORKED IN 1979 (4)


UNIVERSE: PERSONS 16 YEARS AND OVER WttO WORKED IN 1979

lH~E;TTttTIFIERS ARE

USUAL HOURS WORKED PER WEEK IN 1979 BY WEEKS UORKED IN 1979

ttALE: US;Ll~;Y UORKED 35 OR FtORE HOURS PER

50 T; 52 WEEKS 40 TO 49 WEEKS 27 TO 39 WEEKS 1 TO 26 WEEKS

USUALLY WORKED 1 10 34 HOURS PER UEEKt REPEAT WEEKS WORKED IN 1979 (4’

FEMALE: REPEAT USUAL NOURS WORKED PER UEEK IN 1979 BY WEEKS WORKED IN 1979 (B)

TABLE 60 15 5296 1264 A 2 (TAB60

AGGREGATE WEEKS WORKED IN 1979 BY SEX (2’

SUPFLCOI APPLIES TO ALL CELLS

UWIVERSE: PERSONS 16 WttO WORKED

;;A;:7$HD OVER

SEE FOOTNOTE 12

PIALE FENALE

.._ -.-_.. - -.. - -

. .

<

124

n

Y

125

NAME

5TF3 DATA DICTIONARY 04/29/82

RECORD 01

SIZE/ RELATIVE DATA WWBER OF SCALE BEGIN DEGlN TYPE CELLS

TRANSPORTATION (CODES 400-432) COHIIUIlICATIOtIS AIlD OTNER PUBLIC

UTILITIES (CODES 440-472) WIIOLESALE TRADE (CODES 500-571) RETAIL TRADE (CODES 580-691) FINAtlCE, INSURAWCE, AtlD REAL ESTATE

(CODES 700-712) BUSINESS AND REPAIR SERVICES

(CODES 721-760) PERSONAL, ENTERTAINMENT, AND RECREATION

SERVICES (CODES 761-802) PROFESSIOtlAL AND RELATED SERVICES:

HEALTH SERVICES (CODES 812-8401 EDUCATIONAL SERVICES (CODES 842-860) OTHER PROFESSIONAL AND RELATED

SERVICES (CODES 841. 861-892) PUBLIC ADMINISTRATIOtl (CODES 900-9323

TABLE 66 9 5626 1594 A (TAB661

OCCUPATIOH (13)

13


UNIVERSE: EMPLOYED PERSONS 16 YEARS AND OVER


MANAGERIAL AND PROFESSIONAL SPECIALTY OCCUPATIONS: EXECUTIVE, ADMINISTRATIVE, AND

PIAtIAGERIAL OCCUPATIONS (CODES 3-37) PROFESSIONAL SPECIALTY OCCUPATIONS

(CODES 43-199) TECNIIICAL. SALES, AND ADNINISTRATIVE

SUPPORT OCCUPATIONS: iEClltlICIAtlS AtlD RELATE0 SUPPORT

DCCUPATIONS (CODES 203-235) SALES OCCUPATIONS (CODES 243-285) ADPlItIISTRhTIVE SUPPORT OCCUPATIONS,

INCLUDING CLERICAL (CODES 303-389) SERVICE OCCUPATIDNS:

PRIVATE IIOUSEIIOLD OCCUPATIONS (CUDES 403-407)

PROTECTIVE SERVICE OCCUPATIONS (CODES 413’427)

STF3 DATA UICTIONARY 04/29/82

RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIN TrrE CELLS

SERVICE OCCUPATIONS. EXCEPT PROTECTIVE AND NOUSEIIOLD (CODES 433-469)

FARMING. FORESTRY. AND FISUING OCCUPATIONS (CODES 473-499)

PRECISION PRODUClIOttr CRAFT, AND REPAIR OCCUPATIONS (CODES 503-699)

OPERATORS. FAIRICATORS. AND LABORERS: MACNIUE OPERATORS. ASSEMBLERS. AND,

INSPECTORS (CODES 703-799) TRAUSPORTATIDN AND MATERIAL MOVItlQ

DCCUPATIDNS (CODES 803-859) HANDLERS. EQUIPMENT CLEANERS, NEL!PERS,

AND LABORERS (CODES 863-889) i I

TABLE 67 9 5743 1711 A I ( (TAB671

CLASS OF WORKER (61 I I

SUPFLGOl APPLIES TO ALL CELLS I

UNIVERSE: EMPLOYED PERSUNS 16 YEARS ; AND OVER

SEE FOOTNOTE 45

TABLE 6B 9 5797 1765 A 17 (TABbLl)

HOUSEHOLD INCOME IN 1979 (17)



LESS TNAtI 62.500 $2.500 TO $4.999 $5,000 TO $7,499 57,500 TO $9.999 010.000 TO 512.499

NAtlE

STF3 DATA DICTIDtIARY 04/29/82

RECORD 01

SIZE/ RELAlIVE DATA NUMBER OF SCALE BEGItl BEGIN TYPE CELLS

9 5950 1918 A 1

MEDIAN HOUSEHOLD INCOME IN 1979 (1)


UNIVERSE: tlOUSENDLDS

HEDIAN HOUSEHOLD INCOPE IN 1979

TABLE 70 15 5959 1927 A 1 (TAB701

AGGREGATE NOUSENOLD INCOME IN 1979 (1)


UNIVERSE: IIOUSENOLDS

SEE FOOTNOTE 12

AGGREGATE tIOUSEIIOLD INCOME IN 1979

9 5974 1942 A

INCOME TYPE IN 1979 (81

8


UNIVERSE: IIUUSEIIOLDS WITH INCOME

SEE FOOTNOTE 21

c ;: N

n

129

STF3 DATA DICTI0tlARY 04/29/82

RECORD 01

SIZE/ RELATIVE DATA NUMDER OF NAME SCALE BEGIN BCGItl TYPE CELLS

UIS3 102 6049 1 A UNIVERSAL IDENTIFIER SECTION TIIE CIIARACTERS IN TIIIS FIELD ARE IDENTICAL TO THE FIRST 102 CHARACTERS OF THE RECORD.

TABLE 72 15 6151 103 A 7 (TAB72)

AGGREGATE IIOUSENOLD INCOME IN 1979 BY IIICOPIE TYPE Itl 1979 (7)


UNIVERSE: HOUSEIIOLDS WITII INCOME


EARNINGS: MACE OR SALARY ItlCllP(E tIONFARt1 SELF-EtlPLOYMENT INCOME FARM SELF-CMPLOYMEtIT ItICOME

INTEREST, DIVIDENIt. OR NE1 RENTAL INCOME SOCIAL SECURITY IIICOEIE PUB1 IC ASSISTANCE INCOME ALL OTIIER IWCOME

TABLE 73 9 6256 208 A (TAB731

FAMILY ItlCGME III 1979 (171

17

SUPFLGOB APPLIES TO ALL CELLS

UNIVERSE: FAMILIES

- ^ -. - - - - -. - .” ^. - - - - .;. - .


RECORD 01

HAtIE SIZE/ RELATIVE DATA NUTIBER OF SCALE BEGIN BEGIN TYPE CELLS

BLACK: REPEAT FAMILY INCOtlE IN 1979 (9)

AMERICAN INDIAH, ESKIPIO. AND ALEUT: REPEAT FAMILY INCONE IN 1979 (9)

ASIAN AND PACIFIC ISLANDER: REPEAT FAMILY INCOTIE IN 1979 (97

:i%,:” 9 6742 694 A

FAFTILY INCOME IN 1979 (9)

SUPFLGl4 APPLIES TO ALL CELLS

UNIVERSE: FAMILIES WITH HOUSEHOLDER OF SPANISN ORIGIN

SEE FOOTNOTE 11

LESS TNAN 55.000 65.000 TO 67.499 $7,500 TO $9,999 $10,000 TO 614,999 $15.000 TO 619,999 $20,000 10 624,999 525.000 TO 634.999 $35.000 TO 849,999 650,000 OR MORE

:%:7:7 15 6823 775 A

AGGREGATE FAt’tILY INCOtlE IN 1979~ DY RACE OF HOUSEHOLDER (57

SUPFLG08 APPLIES TO CELL 1 SUPFLGO’) APPLIES ID CELL 2 SUPFLGIO APPLIES TO CELL 3 SUPFLGII APPLIES TO CELL 4 SUPFLG12 APPLIES TO CELL 5

UIIIVERSE: FAMILIES


TOTAL WtlITE

5

-..

i

NAME

TABlE 78 (TAB7G)

TABLE 79 (TAB797

’

STFJ DATA DICTIONARY 04129182

RECORD 01

SIZE/ RELATIVE DATA NUtlBER OF SCALE BEGIN BEGIN TYPE CELLS

BLACK AMERICAN INDIAN, ESKIT40. AND ALEUT ASIAN AND PACIFIC ISLANDER

15 6898 850 A 1

AGGREGATE FAFIILY INCOME IN 1979 (17

SUPFLGlZ APPLIES TO ALL CELLS

UNIVERSE: FANILIES WITH HOU)ENOLDER OF SPANISH DRIGIl~i

SEE FOOTNOTE 11 12

AGGREGATE FAMILY

9 6913 665

YORKERS IN FAMILY IN

!

INCOFTE IN'1979

A j

1979 (3)

3

SUPFLGOB APPLIES 1G ALL CELLS :

UNIVERSE: FAFIILIES

yGw;;;:;RS

2 OR FIDRE UORKERS

15 6960 892 A 3

AGGREGATE FAMILY INCOT’IE IN 1974 BY UORKERS IN FAMILY IN 1979 (31

SUPFLG08 APPLIES TO ALL CELLS i

UNIVERSE: FAMILIES

SEE FODTNOTE 12

NO WORKERS 1 WORKER 2 OR MORE WORKERS


RECORD 01

II ArlE SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIN TYPE CELLS

9 6985 937 A

INCOME IN 1979 (157


UNIVERSE: UNRELATED INDIVIDUALS 15 YEARS AND OVER

SEE FOOTNOTE 54

LESS THAN S1.000 $1.000 TO $1,999 $2,000 TO $2,999 $3,000 TO $3,999 $4,000 TO $4.999 55.000 ID 55,999 $6.000 TO $6.999 57.000 ID $7.999 $8,000 ID $8.999 $9,000 TO $9,999 $10.000 ID $11,999 $12,000 ID $14.999 $15.000 ID $24,999 $25.000 TO 549.999 $50.000 OR rlORE

9 7120 1072 A

MEDIAN INCOME IN 1979 (I)


UHIVERSE: UNRELATED INDIVIDUALS 15 YEARS AtID OVER

SEE FOOTNOTE 54

MEDIAN IHCOME IN 1979

15

1

N

155

STFJ DATA DICTIOtlARY 04/29/82

RECORD 01

SIZE/ RELATIVE DATA NUMBER OF NAME SCALE BEGIN BEGIN TYPE CELLS

::%6!’ 9 7192 1144 A 16

FAEIILY TYPE (21 BY POVERTY STATUS IN 1979 (21 BY PRESENCE AND AGE OF RELATED CHILDREN (41


UNIVERSE: FAMILIES

SEE FOOTNOTE 10

THE STRATIFIERS ARE FAMILY TYPE BY

POVERTY STATUS IN 1979 BY. PRESENCE AND AGE OF RELATED CHILDREN

IOTAL : INCOME IN 1979 ABOVE POVERTY LEVEL:

WITH RELATED CHILDREN: UNDER 6 YEARS AND 6 TO 17 YEARS UtlDER 6 YEARS OHLY 6 TO 17 YEARS OtILY

WIltlOUT RELATED CHILDREN

INCOME IN 1979 BELOW POVERTY LEVEL: REPEAT PRESENCE AND AGE OF RELATED CHILDREN (41

TABLE 87 (TAB871

FAMILY WITN FENALE HOUSEHOLDER. NO IIUSBAND PRESENT: REPEAT POVERTY STATUS IN 1979 BY PRESENCE AND AGE OF RELATED CHILDREN (81

9 7336 1288 A

POVERTY STATUS kN 1979 (21 BY PRESENCE AND AGE OF RELATED CtIILDREtl (31

6


UIIIVERSE: FAMILIES WITH OtlE OR MORE RELATED CHILDREN

SEE FOOTtIOTE 10

I


RECORD 01


NUf4~4~SOF

THE SIRATIFIERS ARE POVERTY STATUS IN 1979 BY

PRESENCE AND AGE OF RELATED CHILDREN

INCDME IN 1979 ABOVE POVERTY LEVEL: WITH RELATED CHILDREN UNDER

5 YEARS AND 5 TO 17 YEARS WITH RELATED CHILDREN UNDER 5

YEARS ONLY WITH RELATED CHILDREN 5 TO 17

YEARS ONLY

INCOME IN 1979 BELOU POVERTY LEVEL: REPEAT PRESENCE AND AGE OF RELATED CHILDREN 637

TABLE 88 9 7390 1342 A (TAB887

6

POVERTY STATUS IN 1979 (37 BY AGE OF HOUSEHOLDER (2)

SUPFLGOII APPLIES TO ALL CELLS

UNIVERSE: FANILIES

THE STRATIFIERS ARE PDVERlY STATUS IN 1979 BY

AGE OF HOUSEHOLDER

INCOFTE IN 1979 BELOW POVERTY LEVEL: HOUSEHOLDER 15 TO 64 YEARS NOUSEHOLDER 65 YEARS AND OVER

INCOME IN 1979 BETWEEN 100 AND 124 PERCENT OF POVERTY LEVEL: REPEAT AGE OF HOUSENOLDER (27

INCOtTE IN 1979 125 PERCENT OF PGVERTY LEVEL AND ABOVE: REPEAT AGE OF HOUSEHOLDER (2)

NAME


RECORD 01

SIZE/ RELATIVE DATA NUMDER OF SCALE BEGIN EEGItt TYPE CELLS

9 7444 1396 A 6

POVERTY STATUS TN 1979 (3) BY’ AGE OF HDUSENOLDER (2)


UNIVERSE: NONFAMILY HOUSEHOLDERS

THE STRATIFIERS ARE POVERTY STATUS IN 1979 BY

AGE OF HOUSEHOLDER

INCOME IN 1979 BELOW POVERTY LEVEL: NOUSENOLDER 15 TO 64 YEARS HOUSEHOLDER 65 YEARS AND OVER

INCOME IN 1979 BETWEEN 100 AND 124 PERCENT OF POVERTY LEVEL: REPEAT AGE OF HOUSEHOLDER (2)

INCOME IN 1979 125 PERCENT OF POVERIY LEVEL AND ABOVE: REPEAT AGE OF HOUSEHOLDER (2)

9 799a 1450 A

POVERTY STATUS IN 1979 (2) BY AGE (27

,, ,,, ,,,


UttIVERSE: UHRELATED INDIVIDUALS FOR WHOM POVERTY STATUS IS DETERNINED

SEE FOOTNOTE 23 S4

1tlE STRATIFIERS ARE POVERTY STATUS IN 197Y BY

AGE

INCOME IN 1979 ABOVE POVERTY LEVEL: 15 TO 64 YEARS 65 YEARS AND OVER

INCOME IN 1979 DELOU POVERTY LEVEL: REP~EAT AGE (2)

4

i

STF3 DATA DICTIONARY ow29fa2

NAME

RECORD 01

SIZE/ RELATIVE DATA SCALE BEGIN BEGIN TYPE ““K:L°F

IO ::%I!’ 9 7534 14a6 A

RACE (5) BY POVERTY STATUS IN 1979 (2)

SUPFLGOI APPLIES TO CELLS l-2 SUPFLGOZ APPLIES TO CELLS J-4 SUPFLGO3 APPLIES TO CELLS 5-6 SUPFLGOQ APPLIES TO CELLS 7-8 SUPFLGOS APPLIES TO CELLS 9-10

UNIVERSE: PERSONS FOR WHOM POVERTY STATUS IS DETERMINED

SEE FOOTNOTE 4 2S I

TN~A;;R;;IFIERS ARE

POVERTY STATUS IN 1979 :

.

TOTAL : INCOME IN 1979 ABOVE POVERTY LEVEL INCOME IN 1979 BELOW POVERTY LEVEL

WHITE: REPEAT POVERTY STATUS IN 1979 (2)

aLACK: REPEAT POVERTY STATUS IN 1979 (2)

AMERICAN IWDIAN. ESKINO. AND ALEUT: REPEAT POVERTY STATUS IN 1979 (2)

ASIAN AND PACIFIC ISLANDER: REPEAT POVERTY STATUS IN 1979 (2) ’

TAaLE 92 9 7624 1576 A 2 (TAa92)

POVERTY STAT”5 IN 1979 (2)

SUPFLGO6 APPLIES TO All CELLS

UNIVERSE: PERSONS OF SPANISN ORIGItt FOR HHOM POVERTY STATUS IS DETERMINED

SEE FOUlNOlE 23

INCOME IN 1979 ABOVE POVERTY LEVEL INCOME IN 1979 BELOW POVERTY LEVEL

STFJ DATA DICTIONARY

RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIN TYPE CELlS

TADLE 93 9 7642 1594 A (TAB939

POVERTY STATUS IN 1979 (2) BY AGE ($9

04/29/82

a


UNIVERSE: PERSONS FOR WHOM POVERTY STATUS IS DETERMINED

SEE FOOTNOTE 23


AGE

LEVEL : INCOME IN 1979 AaOVE POVERTY UNDER 55 YEARS 55 TO 59 YEARS 60 TO 64 YEARS 65 YEARS AND OVER

INCOME IN 1979 BELOW POVERTY REPEAT AGE (6)

LEVEL:

XlX~’ 9 7716 1666 A a

POVERTY SIATUS IH 1979 (2) ltY HOUSEHOLD RELATIONSHIP AND AGE (4)


UNIVERSE: PERSON5 IN FAMILIES. EXCLUDING HOUSEHOLDERS

SEE FOOTNOTE IO


HOUSEttOLD RELATIOtIStlIP AND AGE

INCOME IN 1979 ABOVE POVERTY LEVEL: RELATED CHILD UNDER 5 YEARS RELATED CHILD 5 YEARS RELATED CIIILD 6 TO 17 YEARS OTNER FANILY MEMBER

I

--..

STF3 DATA DICTIONARY 04/29/a2

RECORD 01

NAME SIZE/ RELATIVE DATA SCALE BEGIN BEGIN TYPE NUKESoF

INCOPIE IN 1979 BELOW POVERTY LEVEL: REPEAT HOUSEHOLD RELATIONSHIP AND AGE (‘i)

9 7736 x73a A

POVERTY 5TATUS IN 1979 (5)


UNIVERSE’ PERSONS FOR WNOtl POVERTY STATUS IS

SEE FOOTNOTE 23

5

DETERMINED

INCOME IN 1979 DELOW 75 PERCENT OF POVERTY LEVEL

INCOttE IN 1979 BETWEEN 75 AND 126 PERCENT OF POVERTY LEVEL

INCOME IN 1979 SETWEEN 125 AND 119 PERCENT OF POVERTY LEVEL

INCOME IN 1979 BETWEEN 150 AND 199 PERCENT OF POVERTY LEVEL

INCOME IN 1979 200 PERCENT OF POVERTY LEVEL AND ABOVE

:#t:6;” 9 7a31 1783 A 4

VACANCY STATUS (4)

TN15 TABLE HAS NO SUPPRESSION

UNIVERSE: VACANT HOUSING UNITS

SEE FOOTNOTE 26

;Clz ;;U; ONLY

IIELD FOR OCCASIONAL USE OINER VACANTS

-----

STF3 DATA DICTIONARY 04/29/a2

RECORD 01

NAME SIZE/ RELATIVE DATA NUMDER OF SCALE BEG111 BEGIN TYPE CELLS

:%:7;’ 9 7867 1819 A

TENURE (21

2

SUPFLGOB APPLIES TO CELL 2

UNIVEKSE: OCCUPIED

TOTAL RENTER OCCUPIED

TABLE 9a 9 7aa5 xa37 (TAa9Lt)

TENURE (2) BY RACE OF HOLDER (57

tlOUSING UNITS

A IO

NOUSE-

SUPFLG09 APPLIES TO CELL 6 SUPFLGIO APPLIES TO CELL 7 SUPFLGII APPLIES TO CELL B SUPFLG12 APPLIES TO CL=11 9 SUPFLGlS APPLIES TO CELL 10

UNIVERSE: OCCUPIED HOUSING UNIT5

SEE FOOTNOTE 4 5 11

TIIE STRATIFIERS ARE TENURE DY

RACE OF NOUSEIIOLDER

TOTAL: NNITE BLACK AMERICAN IHDIAN. ESKIMO,

AND ALEUT ASIAN AND PACIFIC ISLANDER OTHER (RACE. tI.E.C.7

RENTER OCCUPIED: REPEAT RACE OF tlOUSEltOLDER (57

.

N

N

143


RECORD 01

04/29/82

NAME SIZE/ RELATIVE DATA SCALE BEGIN BEGIN

NUPIDER OF TYPE CELLS

UIS4 102 8065 1 A UIIIVERSAL IDENTIFIER SECTION TNE CIIARACTERS IN THIS FIELD ARE IDENTICAL TO THE FIRS1 102 CIIARACTERS OF THE RECC9D.

TABLE 102 (TAB1029

9 a167 103 A

TENURE AND OCCUPANCY 5TATUS (37 111 UNITS IN STRUCTURE (6)

fUPFLG07 APPLIES TO CELLS I-6 SUPFLGOa APPLIES TO CELLS 7-12, SUPFLG27 APPLIES TO CELLS 13-16

UNIVERSE: YEAR-ROUND HOUSING

SEE FOOTtlOTE 25

THE STRATIFIERS ARE TEtIURE AND OCCUPANCY STATUS

UNITS IN STRUCTURE

ia

UNIT5

IIY

TOTAL: 1. DETACHED 1, ATTACHED 2 3 AND 4 5 OR NORE MOBILE HOME OR TRAILER, ETC.

TOTAL OCCUPIED: REPEAT UNITS IN STRUCTURE (6)

RENTER OCCUPIED: REPEAT UNITS IN STRUCTURE (6)

TABLE 103 9 a329 265 A (TAB1039

UNITS IN STRUCTURE (67

THIS TABLE HAS NO SUPPRESSIOH

UIIIVERSE: VACANT SEASONAL AND NIGRATORY HOUSING UNITS

SEE FOOTNOTE 1

_ - _-_-__ - ----

6

STFJ DAIA DICTIONARY 04/29/a2

RECORD 01

NAtlE SIZE/ RELATIVE DATA NUMDER OF SCALE BEGIN BEGIN TYPE CELLS

1. DETACHED 1, ATTACHED 2 3 AND 4 5 OR tlORE MOBILE HOME OR TRAILER

TABLE 104 15 a3a3 319 A 12 (TABl64i)

TENURE (2) BY UNITS IN STRUCTURE (67

SUPFLGOl ‘APPLIES TO All CELLS

UNIVERSE: PERSONS IN OCCUFIiD HOUSING UttITS

I SEE FOOTNOTE 12 25

TttE STRATIFIERS ARE TEtIURE BY

UNITS IN STRUCTURE ’

TOTAL: 1. DETACHED 1. ATTACHED ?

f AND 4 5 OR HORE HOBILE tIOHE OR TRAILER, ETC.

RENTER OCCUPIED: REPEAT UIIITS IN STRUCTURE (6)

TABLE 105 9 a563 499 A (TAB1051

STORIES IN STRUCTURE (41



1 TO 3 4 TO 6 7 TO 12 13 OR MORE

4


RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE BEGItt BEGIN TYPE CELLS

TABLE 106 9 a599 535 A (TAB1067

PASSENGER ELEVATOR (2)

SUPFlGO7 APPLIES TO ALL CELLS

UNIVERSE: YEAR-ROUND NOUSING UNITS IN STRUCTURE WIIN 4 OR MORE STORIES

WITN ELEVATOR NO ELEVATOR

TAalE 107 9 a617 553 A (TAB1079

SOURCE OF WATER (4)

SUPFLG07 APPLIES TO All CELLS


PUBLIC SYSTEM OR PRIVATE COMPANY IN;~;~fll;l IdEll:

DliG SOME OTtlER SOURCE

TABLE 108 9 a653 5a9 A (TABlOOt

SEWAGE DISPOSAL (3)



PUBLIC SEWER SEPTIC TANK OR CESSPOOL OTHER MEANS

2

4

3

. --- _ . ..~ _._. -


RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE DEGItI BEGIN TYPE CELLS

RENTER OCCUPIED: REPEAT YEAR HOUSEHOLDER MOVED INTO UNIT (6)

TABLE 111 9 8977 913 A 9 (TAB1111

HEATING EQUIPMENT (9)


UIIIVERSE: YEAR-ROUND UOUSING UNITS

STEAM OR NOT WATER SYSTEM CENTRAL WARM-AIR FURNACE ELECTRIC ttEAT PurtP OTHER BUILT-IN ELECTRIC UNITS FLOOR, WALL, OR PIPELESS FURNACE ROON HEATERS WITH FLUE ROOM HEATERS WITNOUT FLUE FIREPLACES. STOVES. OR PORTABLE ROOM

IIEATERS NONE

TABLE 112 9 905a 994 A a (TAP,1121

HOUSE HEATING FUEL (8)

SUPFLGO8 APPLIES TO All CELLS

UNIVERSE: OCCUPIED IlOUSING UNITS

SEE FOOTNOTE 26

UTILITY GAS BOTTLED, TANK, OR LP GAS ELECTRICITY FUEL OIL. KEROSENE, ETC. COAL OR COKE WOOD OTIIER FUEL 110 FUEL USED

,,, ,,,

STFS DATA DICTIONARY 04/29/a2

RECORD 01

NAME SIZE/ RELATIVE DATA NUtlaER OF SCALE BEGIN BEGIN TYPE CELLS

TAalE 113 9 9130 1066 A 5 CTABIlS)

COOKING FUEL (5)

SUPFlGOa APPLIES TO All CELLS

UNIVERSE: OCCUPIED HOUSING UNITS

SEE FOOTNOTE 26 27

UTILITY GAS BOTTLED, TANK. OR LP GAS ELECTRICITY OTHER NO FUEL USED

TABLE 114 9 9175 1111 A (718114)

WATER HEATING FUEL (61



SEE FOOTNOTE 26 27

UTILITY GAS aOTTlE0. TANK, OR LP GAS ELECTRICITY FUEL 011. KEROSENE, ETC. OTHER NO FUEL USED

TABLE 115 9 9229 1165 A CTAB115)

KITCHEN FACILITIE5 (2).

SUPFlGO7 APPLIES TO All CELLS


COMPLETE KITCHEN FACILITIES NO COMPLETE KITCHEN FACIlITIES

-- --

6

2


RECORD 01

NANE SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN DEGIN TYPE CELLS

TABLE 116 9 9247 1163 A 18 (TAB1161

TENURE AND OCCUPANCY STATUS (3) BY BEDROOIIS (6)

S”PFLGO7 APPLIES TO CELLS l-6 SUPFLGOB APPLIES TO CELLS 7-12 S”PFLG27 APPLIES TO CELLS 13-18

UNIVERSE: YEAR-ROUND HOUSING “NITS

THE STRATIFIERS ARE TENURE AND OCCUPANCY STATUS BY

BEDROOMS

TOTAL: NUNE

: 3 4 5 OR MORE

TOTAL OCCUPIED: REPEAT BEDROGMS (6)

RENTER OCCUPIED: REPEAT BEDROOMS (6)

TABLE 117 9 9409 1345 A (TAB117)

TENURE AND OCCUPANCY STATUS (3) DY BATHROGEIS (4)

S”PFLG07 APPLIES TO CELLS l-4 SUPFLGOB APPLIES TO CELLS 5-B S”PFLG27 APPLIES TO CELLS 9-12


THE STRATIFIERS ARE TENUNE AND OCCUPANCY STAIUS BY

BATllROOElS

TOTAL: NO BATIIROOM OR ONLY A HALF BATII 1 COflPLETE BATNRCOll

,

12

i

TA8LE 118 CTABllG7

TABLE 119 CTAB1197


RECORD 01

SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIN TYPE CELLS

1 COMPLETE BATHROOM PLUS HALF BATH(S)

2 OR MORE CDNPLETE BATHROOHS

TOTAL OCCUPIED: REPEAT BATHROOMS (47

RENTER OCCUPIED: REPEAT BATHROOMS (47

9 9517 1453 A 4

’ TEt$ I:; BY TELEPHONE IN HOUSING

SUPFLGOB APPLIES TO CELLS l-2 S”PFLG27 APPLIES TO CELLS 3-4

UNIVERSE: OCCUPIED HOUSING UHITS

THE STRATIFIERS ARE TENURE BY

TELEPHONE IN HOUSING UHIT

TOTAL : WITH TELEPHONE NO TELEPHONE

RENTER OCCUPIED: REPEAT TELEPNOHE IN HOUSING UNIT (2)

9 9553 1489 A 4 .

AGE OF HOUSEHOLDER (27 BY TELEPNONE IN NOUSIHG “NIT (27

S”PFLGO6 APPLIES TO ALL CELLS

UNIVERSE: OCCUPIED HOUSING UNITS WITN HOUSEHOLDERS OF SELECTED AGE GROUPS

THE STRATIFIERS ARE AGE UF llO”SEllDLDER BY

TELEPNOtIE IN NO”SING UNIT

,, ., ,, ,., ,, ., ,,,,, ~ ,,, ,, ,,” ,, ,.,, ,,,. _, ,, ,,“, ,,,, ,, ,,, ., ._

NAME

TABLE 120 lTADlZOI

TABLE 121 lTAB121I

STF3 DATA DICTIOtlARY

RECORD 01

SlZE/ RELATIVE UATA SCALE BEGItl BEGIII TYPE

04/29/02

N”:IDER OF CELLS

HOUSEIIOLDER 60 TO 64 YEARS: WIT” TELEPIIONE NO TELEPllONE

HOUSEIIOLDER 65 YEARS AttD OVER: REPEAT TELEPlIOtIE IN IIOUSING “till (2)

9 9589 1525 A 4

AIR COtlDITIONING 14)

S”PFLG,07 APPLIES TO ALL CELLS


NONE CENTRAL SYSTEM I INDIVIDUAL ROOM Utlll 2 OR MORE ItlDIVlD”AL ROOM UNITS

9 9625 1561 A 5

RACE OF IIO”SElIOLDER (5)

SUPFLGOS APPLIES TO CELL 1 S”PFLGO9 APPLIES TO CELL 2 SlJPFLGlO APPLIES TO CELL 3 SLJPFLGll APPLIES TO CELL 4 SUPFLGlZ APPLIES TO CELL 5

UNIVERSE: OCCUPIED tlO”SlNG “NITS IJIT” NO VEHICLE AVAILABLE


TOTAI WIIITE DLACK AflERICAN INDIAtl, ESKIIIU. AND ALE”, ASIAtl AtlD PACIFIC ISLAtlDER

NAME

TABLE 122 (TAB122)

TABLE 123 (TAB1231

TABLE 124 (TAB1241


RECORD 01

SIZE/ RELATIVE DATA SCALE BEGIN BEGIN

NUMDER OF TYPE CELLS

9 9670 1606 A I

OCCUPIED HOUSING UNITS WITN HOUSEHOLDER OF SPANISH ORIGIN WITH NO VEHICLE AVAILABLE (1)

S”PFLG14 APPLIES TO ALL CELLS

UNIVERSE: OCCUPIED HOUSING “NITS btITN NO”SENOLOER OF SPAtIISN ORIGIN WITH NO VEHICLE AVAILABLE

SEE FOOTNOTE 11 28

OCCUPIED NOUSIHG “NITS WITH NOUSENOLDER OF SPANISH ORIGIN WITH NO VEHICLE AVAILABLE

9 9h79 1615 A

VEHICLES AVAILABLE (3)

S”PFLGO6 APPLIES TO ALL CELLS

3

UNIVERSE: OCCUPIED HOUSING “NITS WITH VEHICLE AVAILABLE

SEE FOOTNOTE 20

: 3 OR MORE

9 9706 1642 A

GROSS RENT (14)

S”PFLG21 APPLIES TO ALL CELLS !

14

UNIVERSE: SPECIFIED RENTER-OCCUPIED HOUSING “NITS

SEE FOOTNOTE 29

NAME

STFJ DATA DICTIOtlARY

RECORD 01


04/29/82

NUMDER OF CELLS

TABLE 125 9 91132 176a A 20 (TAB1251

RACE OF NO”SEIIOLOER (4) BY GROSS REtIT (5)

S”PFLG22 APPLIES TO CELLS l-5 S”PFLG23 APPLIES TO CELLS 6-10 S”PFLG24 APPLIES TO CELLS 11-15 S”PFLG25 APFLIES TO CELLS 16-20

UNIVERSE: SPECIFIED RENTER- OCCUPIED IIOUSING “NITS WITtl NOUSEItOLDER OF SPECIFIED RACES


THE STRATIFIERS ARE RACE OF IIOUSEIIOLDER BY

GROSS RENT

WIIITE: LESS TllAtl $100 $100 TO 5199 $200 TO $299 6300 OR MORE 110 CAS” RENT

DLACK: REPEAT GROSS RENT (5)

---

STFJ DATA DICTIONARY 0’1/29/82

NAME

RECORD 01

SIZE/ RELATIVE DATA HUMDER OF SCALE BEGIN BEGIII TYPE CELLS

1 TABLE 1211 15 10066 2002 A

(TAB1281 AGGREGATE GROSS RENT (1)


UtlIVERSE: SPECIFIED REtlTER- OCCUPIED NOUSING “NITS PAYItIG CASH RENT

SEE FOOTNOTE 12 29

AGGREGATE GROSS RENT

,, ,, ,. ,,, ,,,, ,, ,, ,,,,,, ,, ,,

HAME

“IS5

TABLE 129 CTAB129)

TABLE 130 (TAB1301


RECORD 01


102 10081 1 A

15 101GJ 103 A

04/29/Bt

NUMBER OF CELLS

UNIVERSAL IDENTIFIER SECTION THE CHARACTERS IN THIS FIELD ARE ‘IDENTICAL TO ‘THE FIRST b02 CHARACTERS OF THE RECORD.

2

AGGREGATE CONTRACT RENT AND REM1 ASKED DY OCCUPANCY STATUS (2)


UHIVERSE: SPECIFIED RENTER-OCCUPIED PAYING CASH RENT AND VACAHT- FOR-RENT HOUSING “NITS

SEE FOOTNOTE 12 29

RENTER OCCUPIED VACANT FOR RENT

9 10213 133 A



2

UNIVERSE: SPECIFIED RENTER- OCCUPIED PAYIHG CASH RENT All0 VACANT-FOR-RENT NOUSIHG “NITS

SEE FOOTNOTE 29

RENTER OCCUPIED VACANT FOR RENT

5iF3 DATA DICTIONARY 04/29/82

RECDRD 01

SIZE/ RELATIVE DAlA NUNBER OF

NAME SCALE BEGIN EEGIH TYPE CELLS

TABLE 131 9 10231 151 A 7 (TAB131)

INCLUSION OF UTILITIES Itt RENT (2)

SUPFLGZl APPLIES TO ALL CELLS

UNIVERSE: SPECIFIED REttTER- OCCUPIED HOUSING UNITS

SEE FOOTNOTE 29 30

PAY EXTRA FOR 1 OR MORE UTILITIES NO EXTRA PAYNENT FOR ANY UTILITIES

TABLE 132 9 10249 169 A (TAB1321

UOUSEHDLD INCOME IN 1979 (5) BY GROSS RENT AS PERCENTAGE OF INCOME (5)

SUPFLCZl APPLIES 70 ALL CELLS

UNIVERSE: SPECIFIED RENTER-OCCUPIED IIDUSING UNITS

SEE FOOTNOTE 29 31

THE STRATIFIERS ARE HOUSEUOLD INCONE Itt 1979 BY

GRt,;~O;NT AS PERCEttTAGE OF

LESS THAN 65.000: LESS TtlAN 20 PERCENT 20 TO 24 PERCENT 25 TO 34 PERCENT 35 PERCEHT OR MORE UOT COflPUTED

25

$5.000 TO 69.9 99: REPEAT GROSS RENT AS PERCENTAGE OF INCDIlE (5)

$10,000 TO ., 914.999: REPEAT GROSS REHT AS PERCENTAGE OF INCOIIE (5)

615.000 TO 519.999: REPEAT GRUSS RENT AS PERCENTAGE OF TttCDIIE (5)

$20,000 OR IlORE: REPEAT GROSS RENT AS PERCENTAGE OF INCGtlE (I i)

STF3 DATA DICTIONARY 09/29/(12

RECORD 01

SIZE/ RELATIVE DATA NUNBER OF NAME SCALE BEGIN BEGIN TYPE CELLS

TABLE 133 9 10474 394 A 20 (TABl33)

MORTGAGE STATUS AND SELECTED MONTHLY OWNER COSTS (20)


UNIVERSE: SPECIFIED OWNER-OCCiPIEO NONCONDOMINXUtl HOUSING UNITS

SEE FOOTNOTE 32 33

WITH A NORTGAGE: LESS THAN 6100 6100 TO 6149 6150 TO 6199 6200 TO 5249 6250 TO 6299 6300 TO 6349 6350 TO 6399 $400 TO 6449 6650 TO 6499 6500 TO 6599 $600 TO 6749 6750 OR MORE

NOT HORTGAGED: LESS THAN $50 650 TO 674 875 TO 699 6100 TO 8124 6125 TO 6149 6150 TO 6199 6200 TO 6249 6250 OR MORE

TABLE 134 9 1065'1 574 A (TAB1341

MEDIAN SELECTED IIONTNLY OWNER COSTS BY WORTGAGE STATUS (2)


UNIVERSE: SPECIFIED OWNER- OCCUPlED NONCONDONINIUN NDUSING UNITS

SEE FOOTNOTE 32 33

2

,, ,,, ,,, ,, ,,, ,, ,,, ,,, ,, ,, ,,,, ,,, ,, ,,, ,,, ,,,

STF3 DA’lA DICTIDHARY 04/29/82

RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE DEGIN BEGIN TYPE CELLS

WITH A MORTGAGE NOT MORTGAGED

TABLE 135 9 10672 592 A 24 (TAB135,

RACE OF NDUSEHOLDER (4, BY NDRTGAGE STATUS AND SELECTED MONTIILY OUNER CGSTS (6,

SUPFLGI6 APPLIES TO CELLS 1-6 SUPFLGl7 APPLIES TO CELLS 7-12 SUPFLGIB APPLIES TO CELLS 13-18 SUPFLG19 APPLIES TO CELLS 19-24

UNIVERSE: SPECIFIED OWNER- OCCUPIED NONCOtlDDN1NIUN HOUSING UNITS WITH UOUSE- HOLDER OF SPECIFIED RACES


THE STRATIFIERS ARE RACE OF NOUSENDLDER BY

MORTGAGE STATUS AttD SELECTED NONTIILY OWltER COSTS

WHITE: WITtl A MURTGAGE:

LESS TNAN 5200 6200 TO $299 9300 TO 5399 6400 TO 6499 6500 OR MORE

NOT NORTGAGED

BLACK: REPEAT MORTGAGE STATUS AND SELECTED NONTNLY OWNER COSTS (6,

AMERICAN INDIAN, ESKIMO, AND ALEUT: REPEAT MORTGAGE STATUS AND SELECTED MDNTttLY OWNER COSTS (6,

ASIAN AND PACIFIC ISLANDER: REPEAT MDRTGAGE STATUS AND SELECTED NONTNLY OWNER COSTS (6,

NAME

TABLE 138 ITAB13.5,

TABLE 139 CTABlJPl


RECORD 01

SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIU TYPE CELLS

9 11017 937 A 5

MORTGAGE STATUS AND YEAR UOUSEHOLDER MOVED INTO UNIT (5,

SUPFLGIS APPLIES TO ALL CELLS

UNIVERSE: SPECIFIED DIINER- OCCUPIED NOWCONDONINIUN HOUSING UNITS

SEE FOOTNOTE 33

WITH A MORTGAGE: 1975 TO FlARCll 1960 1970 TO 1974 1960 TO 1969 1959 OR EARLIER

NOT IlORTGAGED

9 11062 9a2 A 25

HOUSEHOLD IttCDtlE IN 1979 (5, BY SELECTED MOttTliLY OWNER COSTS AS PERCENTAGE OF INCOPIE (5,


UNIVERSE: SPECIFIED OFBIER- DCCUPIED ttOtiCONDOMINIUM IIOUSING UttITS


TNE STRATJFIERS ARE IIDUSEIIOLD IttCDflE IN 1979 BY i

SELECTED tlOtlTttLY OWNER COSTS AS PERCENTAGE OF INCOME

LESS THAN 55,000: LESS THAN 20 PERCENT 20 TO 24 PERCENT 25 TO 34 PERCENT 35 PERCENT UR MORE HOT CUHPUTED

i

,,,,,” ,,,,, ,,,,,,, ,,,, ,,,,,,,,,, ,,, ,,,,, ,,, ,,

STF3 DATA DICTIONARY 0’1/29/82

RECORD 01

NAME SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIR BEGIN TYPE CELLS

65,000 TO 69,999: REPEAT SEI LECTED MONTHLY OWNER COSTS AJ‘PERCENTAGE OF 1NCOnE (5, 510.000 TD 614.999: REPEAT SELECTED MONTHLY OWNER COSTS AS PERCENTAGE OF INCONE (5) 615,000 TO 519.999: REPEAT SELECTED NONTHLY OWNER COSTS AS PERCENTAGE OF INCOME (5) 520.000 OR MORE: REPEAT SELEClED NONTNLY OWNER COSTS AS PERCENTAGE OF INCOME L5,

TABLE 140 15 11207 1207 A LTAB140t

AGGREGATE VALUE

SUPFLG15 APPLIES TO ALL CELLS *

UNIVERSE: SPECIFIED OWNER- OCCUPIED NDNCONDDNINIUFt HOUSING UNITS

SEE FODTNOTE 12 33 35

AGGREGATE VALUE

TABLE 141 15 Ii302 1222 A (TAB111,

AGGREGATE NOUSEUDLD INCONE IN 1979 BY TENURE (2)

SUPFLGOB APPLIES TO CELL 1 SUPFLG27 APPLIES TO CELL 2

UUIVERSE: OCCUPIED UOUSING UNITS

SEE FDOlNOTE 12

TOTAL RENTER OCCUPIED

1

2


RECORD 01


TABLE 142 9 11332 1252 A a (TAB142,

IIEATING EQUIPElEltT (2, BY YEAR STRUCTURE BUILT (2) BY PERSONS PER RODtl (2)

SUPFLGOB APPLIES TO ALL CELLS

UNIVERSE: OCCUPIED H&USING UNITS WITtt COMPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE

SEE FOOTNOTE 36 37

THE STRATIFIERS ARE HEATING EQUIPMEllJ BY

YEAR STRUCTURE BUILT BY PERSOUS PER ROOM

WITH CENTRAL HEATING SYSTEM: 1939 OR EARLIER:

LESS THAN 1.01 PERSONS PER RDON 1.01 OR MORE PERSDUS PER ROOM

1940 TO MARCH 1980: REPEAT PERSONS PER ROOM (2,

LACKItIG CENTRAL HEATING SYSIEN: REPEAT YEAR STRUCTURE BUILT BY PERSONS PER ROOM (4)

TABLE 143 9 11404 1324 A CTAB143,

RACE OF HOUSEHOLDER (5)

5

SUPFLGOS APPLIES TO CELL 1 SUPFLGO9 APPLIES 70 CELL 2 SUPFLGIO APPLIES TO CELL 3 SUPFLGll APPLIES TO CELL 4 SUPFLG12 APPLIES TO CELL 5

UUIVERSE: OCCUPIED HOUSING “t,ITS WITH COPlPLETE PLUtlOItlG FACILITIES FOR EXCLUSIVE USE

SEE FGOTNOTE 4 11 37

..-._ __ _-I_

NAME

TABLE 144 (TAB1447

TABLE 145 (TAB1457


RECORD 01


TOIAL WHITE BLACK AMERICAN INDIAN, ESKIND, AND

ALEUT ASIAN AND PACIFIC ISLANDER

9 11449 1369 A

04/29/X2

tiUMBER OF CELLS

1

OCCUPIED tIDUSING UNITS WITH HOUSEHOLDER OF SPANISH ORIGIN WITH COMPLETE PLUNBIHO FACILITIES FOR EXCLUSIVE USE


UNIVERSE: OCCUPIED lIDUSING UNITS WITN IiOUSEIIOLDER OF SPANISH ORIGIN WITH CDtlPLETE PLUIIBING FACILITIES FOR EXCLUSIVE USE

SEE FOOTNOTE 11 37

OCCUPIED HOUSING UNITS WITH HOUSEHOLDER OF SPANISH ORIGIN WITH COMPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE

9 11450 1376

RACE OF HOUSEHOLDER (57

SUPFLGOB APPLIES TO CELL SUPFLGOP APPLIES 70 CELL SUPFLGlO APPLIES TO CELL SUPFLGll APPLIES TO CELL SUPFLGlZ APPLIES TO CELL

A

: 3

:

5

UNIVERSE: OCCUPIED tIOUSING UNITS ItIlH COMPLETE FLUtlBItiG FACILITIES FOR EXCLUSIVE USE AND YEAR STRUCTURE BUILT 1939 OR EARLIER


RECORD 01

SIZE/ RELATIVE DATA NUMDER OF NAME SCALE BEGIN BEGIN TYPE CELLS


TOTAL WIIITE BLACK AMERICAN INDIAN. ESKIMO. AND

ALEUT ASIAN AND PACIFlC ISLANDER

TABLE 146 9 11503 1423 A 1 (TAB1461

OCCUPIED HOlkIIIG UNITS WITH llOUSEllOLOER OF SPANISH ORIGIN WITH COIIPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE AND YEAR STRUCTURE BUILT 1939 OR EARLIER

SUPFLGl4 APPLIES TO ALL CELLS

UNIVERSE: OCCUPIED HOUSING UNITS MITtI HOUSEHOLDER OF SPANISH ORIGIN WITH CONPLETE PLUIIBING FACILITIES FOR EXCLUSIVE USE AtlD YEAR STRUCTURE BUILT 1939 OR EARLIER

SEE FOOTNOTE 11 37

OCCUPIED HOUSING UNITS WITH IIOUSE- HOLDER OF SPAtIlSH ORIGIN WITH COMPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE AH0 YEAR STRUCTURE BUILT 1939 OR EARLIER

TABLE 147 9 11512 1432 A (TAB147)

RACE OF HOUSEHOLDER (5)

SUPFLG08 APPLIES TO CELL 1 SUPFLGO’) APPLIES TO CELL 2 SUPFLGlO APPLIES TO CELL 3 SUPFLGIL APPLIES TO CELL 4 SUPFLGl2 APPLIES TO CELL 5


5

.,_, ,.. ,.,, . ,,,“, I. .,, ,,,.. . .,., I,, .I.. ,,I ,.,^ ,”

SlF3 DATA DICTIONARY OC/29/82

RECORD 01

WANE SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIN TYPE CELLS

WITH COMPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE AND WITH 1.01 PERSONS PER ROOM OR MORE


TOTAL WHITE BLACK “,,:(1:;;” INDIAN, ESKIMO. AND

ASIAN AND PACIFIC ISLANDEK

TABLE i4B 9 11557 1477 A

(TAB14Bl OCCUPIED NOUSING UNITS WITH

HOUSEIIOLOER OF SPANISH ORIGIN WITH CLitlPLETE PLUMOING FACILITIES FOR EXCLUSIVE USE AND WIT)1 1.01 PERSONS PER ROOM OR MORE

1


UNIVERSE: OCCUPIED HOUSIllO UNITS WITH HOUSEHOLDER OF SPANISH ORIGIN WITH CONPLETE PLUPIBING FACILITIES FOR EXCLUSIVE USE AND WITH 1.01 PERSONS PER ROOM OR MORE

SEE FOOTNOTE 11 37

OCCUPIED HOUSING UNITS WITH tlOUSEIIOLOER OF SPANISII ORIGIN WITH COFIPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE AND WITN 1.01 PERSONS PER ROON ON NORE

NAME

TADLE 149 (TAB1491

TABLE 150 (TAB1501


RECORD 01

SIZE/ RELATIVE DATA NUMBER OF SCALE BEGIN BEGIH TYPE CELLS

9 11566 1486 A 5

RACE OF HOUSEHOLOER

SUPFLGOB APPLIES TO CELL 1 SUPFLGOP APPLIES TO CELL 2 SUPFLGIO APPLIES TO CELL 3 SUPFLGll APPLIES TO CELL 4 SUPFLGlZ APPLIES TO CELL 5

(5)

UNIVERSE: OCCUPIED IIOUSING UNITS CIITH CUMPLETE PLUMBING FACILITIES FOR EXCLU- SIVE USE AND LACKIIIG CENTRAL HEATING EQUIPMEN


TOTAL WIIITE BLACK A”~~~~~” INDIAN. ESKIMO. AND

ASIAN AND PACIFIC ISLANDER

9 11611 1531 A

OCCUPIED tIOUSING UIIITS WITH tlOUSEIIOLOER OF SPANISII ORIGIN WITII CDNPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE AND LACKING CEIITRAL HEATING EQUIPMENT


UNIVERSE:


DCCUPIED IIUUSIHG UIIITS WIllI IIOUSEIIOLDER OF SPAIIISH URIGIN

1

TIES


RECORD 01

NAME SIZE/ RELATIVE SCALE BEGIN DEGIN

DATA WUIIBER OF TYPE CELLS

WITH CONPLETE PLUMBING FACILITIES FOR EXCLUSIVE USE AND LACKING CENTRAL HEATING EPUIPPIENT

FILL9 477 11620 1540 A FILLER

STF3 DATA OlCTIONAKY

FOOTNOTE SECTIOII

01 VACANT SEASONAL/MIGRATORY UIIITS ARE EXCLUDED FRlJEl ALL EIATRICES EXCEPT AS ItOIEO SPECIFICALLY Ill THE OOCUNENTATlON.

03

04

04/29/82

05 FOR DATA TADULATEO ON A lOO-PERCENT DASIS, IIICLUOES ALL PERSONS Ill TIIE CATEGORY “OTIIER.” FOR DATA TABULATED FRO11 TIIE SAMPLE, EXCLUDES TIIOSE PERSONS WI10 IIAVE A WRITE-III EIITRY OF AN ASIAN AND PACIFIC ISLANDER GROUP IN TIIE “OTHER” CATEGORY.

06 THIS CATEGORY REFERS TO WRITE-III ENTRIES OF SPAllISll GROUPS Ill THE RACE QUESTION. SUCH ENTRIES ARE HOT NECESSARILY CONSISTEIIT WITH RESPOIISES IN THE SPAltIS,l ORIGIN QUESTION.

!.

,

01 STF3 DATA DICTIOIIARY 04129ftJ2 TADULATIOIIS OF "PCRSUIIS Ill IIOIISEIIOLO" DASEO 011 I00-PERCCIII DATA nY 0~~1ttITIlltt AKE TIIE SAlIE AS TAUULATlOllS OF "PEllSOllS Ill UIIIT." TIIE PIIRASE "I'EltS0llS III tIOUSCIIOLD" IS USED lIltlESS IIIE HATIIIX 15 SIGAIIFIED BY A llilUSlllO ITEII SUCIt AS TEIIOAE. PIJllDIIIG FACILITIES, ETC.. III LlllIClt CASE, IIIE PIIHASE "PERSOIlS Itt UIIII" IS 0SctI. TAOLIIAlIOIIS OF "I'EHSOttS Ill tIOIISEII010" AIID "PEllSIIItS III UIt11" OASEO Ott SAIIPLE DATA AUE IIOI IIECESSAUILY 1tlE SAM LIECAUSE OF IlIFFClllillCES Ill TIIE PItOCEItII;:ES USED TO IIII-LAIE SAHPLE POI'ULAIIOIt AIID tIOUSIllG DATA.

oa RELATIVES IIICLUOE IIOUSEttOLOER. SPOUSE. Altlt 1llE OUESIIttIIItAIRE CATEGOHIESl "SOll/OAUGIIIER," "CROlllER/SISIEP," "FATIIER~tIO1IIFR." All0 "OTIIER RELATIVE." TAUULATIOIIS OF *Oltlitt UELATIVES" Itl- Cl.llO~ ALL CATEGORIES IIUT SllOttll SEPARATELY -III TIIE tIATR1X.

09 'WtIIRELATIVES" IttCLllOE TIIE QUESTIOItlIAIRE CATEGORIES‘ "KUDIIER, tlOARDEK." "PAttTllER, RO"PII,ATE," "PAID CtIPLUYlili." AllIl "OTIIER IIOIIItCLAIIVE." lAttULATIOIIS OF"~llOll- RELATIVES" IltCLUItE ALL CATEGOHIES IIOT 51101111 SEPAR‘A~TELY Ill IIIE IIATRIX.

10

III SUGFAMILIES All '01111 CIIILD" XS , A NEVER-IlARItIED CIIILO IIIIOER 18 YEARS OF

AGE ,MJ IS A SOII, OAIIGtITER, SIEPCIIILD. tilt AOOPTED CIIILO OF A HOItIEtl III A ~IO~I~CI~-CIIILO SIIUFAtIILY, A FATIIEH III A FATIIFII-CIIILD SUttFAtIILY. OR EIIIIER St'OU5L! ltt A NARRIEU-COUPLE SU0FAIlILY.

. . .

,, ,.,,, ,, ,, ,, ,,, ,, ,,, ,, ,, ,,, ,, ,,,, ,, II__ ._.-. ___ ,, ,,, ,. ,,, ~~--.~~=l~,._:“l~_.-,

w

i N

I’

11

12

1J

14

15

lb

17

STFS DATA DICTIOllARY 1-l/29/82 TABULAlIUIIS FOR llOUSfllOLD3 AtlD FANILIES AHE CLASSIFIED BY T:IE RACE All0 SPAIIISII ORIGIII OF IllE IIUUSEIIOLUCil.

TIIIS AGGREGATE, ALOliG 1JIIII TIIE RELE- VAIIT COWiT. 11111 FL:I:IIIT TIIE COIil'UTA- TIOII OF A PlEAtI. FOK EXANI'LE. TilE hGCKCGATE VALUE FOX SI'ECIFIED OIIIIER- OCCUI'IED ilOtlClllIIlOii1lllllll 1111175 III11 YIELD IIIE 11lZAll VALUE 1:IICII DIVIUEG BY TIIE CnWl UF SPECIFIED WliIEO-OCCUPIED IIIIIICOIIUllEIIIIIUil LWITS. All0 IIIE AGWE- GAIE RUGIIS FOX OCCUPiED All0 VACAIIT YEAR-ROUilD UIIITS 0IvIm GY TIIE COLMT OF dCCUPlE0 All0 VACXIIT YEAR-ilGU!:LI UllITS YIELDS liEAll POGiiS. (SEE FOOT- IIOTE J9 I'RIO.? IO CQiii'LiTIilG tiCAll VALUE OR PRICE ASKED.)

IllCLll~ES RESPOtiS~J II!DICATII:G RELIGIOUS CROUPS AlID UllCLAS5IFIAWE ~ESPOIISES.

PEKSGIIS IIAY DE COUIITED HORE TIIAH OHCE ItI TN15 TACULATIflll.

"EVER HARRIED" IllCLUDES TIIE QUE4TIOli- IIAIRE CATECC2IESl "Ml MAWRIEO." "SEPAlZAI"D," WIDll:lED," .AIIU :DIVOUCEIl.*

All XDEIITIFIED PLACE 14 A PLACE, LlIlll A PUI'ULAIIOII OF 2.500 OR IllIKE (I.000 011 li~~RE Ill ALASKA AIID IIRl~AlIl CEIIERALLY IlASfiU 011 1977 I'Lli'llLATlUII E5'1iiiAIE3,' 71~7 ius wxm~zm 111 ritccmus OEOCilAl'llY. III IIAIL EllUiliRAlIOIl

. _ . -.--."-,.. ..-.. -

.

-

10

19

20

21

22

23.

24

5TF3 DATA DICTIO, : 04/29/82 AREAS, IDENTIFIED PLAL~S LIERE TllOSE RECUGllIZED AS OF JAIIUARY 1. 19781 Ill COllVEllTIOllAl EIIIttIERATIOII AREAS. IUlZIIIIFIEO PLACES IdtiRE Tt105E RfC!lGlllZED AS OF JAIIUARY I. 1979. I'UrlllAIIflII ESTIIIATE5 FOR IDt3tlIFIED PLACES ldttICtl IIICORI’ORATED AFTEK 1977 ARE OASEU Oil TIIE UIJST AVAILAltLE IIIFOR- ElATIOtl.

"PUUCIC IRAIISPORTATIOIi" IIICLUDES "DUS OR STREETCAR." 'KAILKOAO," "SUOWAY (JR ELEVATED," AIID "TAXICAO.'

"MEAlIS OF TRANSPORTATIOlt TO NORK" IttCLUDE "CAK," "IRUCK," "VAtI." "UUS OR STREETCAR," "RAILROAD," "SIIDLIAY OR ELEVAlEtl." "IAXICAD." "tlU1URCYCLE." "BICYCLE." "WALKED ONLY," "1IORKED AT ,IOME," Alin "OTIIER." TAtttJLATlO/tS OF "OTtlER EIEAttS" IIICLUUE ALL CATEGOHIES IIOT 5llOl~ll ( St!t-'ARAIELY III TIIE PIATRIX OR II01 SPECIFIEU AS "PUDLIC TRAt1St'OHIATiOtl." (SEE F001110TE 10.1

VETEKANS ARE CLASSIFlED DY TIIE MUST RECEttT PERIOD OF SERVICE, EXCLUI)IttG PEACE TIllE SERVICE. .

I

tIfltJSEIItlLDS MAY ,ttE COUIITElJ MORE TtiAtt ONCE III ltlI5 TADULAIIUII. I

Ill TlllS HATRIX; Tilt! AGGREGATE IHCONE FItiUHES REFER TO TltE AHOUIIT OF IllCONE FUR EACH SPECIFIC TYPE SEPAHAIELY (E.G.. TIIE FIRST AGGRE- GATE SllOWS TIIE TOTAL AIIOUIII OF WAGE OR SALARY 1tlCUME RECEIVEU BY IIIJllSEIIOLIlS Ill 1979). I

Tabtrlatlor,s of poverty rtatus exclude irunatro of hrtitutions, ,! persona in military group quartarr end in college dormitories and ’ unrelated indivlduels under 15 years. (Sea Eootnoee 54.) :/

VACAIIT llOUSIllG UIIITS IlICLUDE t TIIE QUESTItlIIIIAIRE CAIECOHIESI "FUR REIII," "FOR SAIE UlllY," "KEIlTEIt OR SIILtt, IlIll OCCUPIED,"

I

"tIClO FOR ltCCASIOllAL USE," AND ;

,

.^ __ ..-- ._--.. -_ ,_ ,,,, “..-~-_~ ..,..- _. ,,,, ,,, ,,,,,,,., ,,, ,. ,,,,, ,,, ,,,,,

.

25

26

27

28

29

STFI DATA DICTIOltARY 04/29/az “OIIIER VACANT.” TADULATIGIIS OF “OIIIER VACAIITS” IllcLUDE ALL CA:IE- GORIFS IlOT 51101111 SEPARATELY III THE HATRIX.

“Units in structure” includes “A q obila,home or trailer,” “A one-family house decactied

from any other house,” “A one-fxaily house

attached to one or more houses,” “A butldiog for 2 families, ” “A building for 3 or 4 families,” “A buildin& for 5 to 9 families,” “A building for 10 to 19 families,” A building for 20 to 49 families,” “A building for 50 or more famillea,” “A boat, tent, van, etc.” Tabulations of “ttohile borne or trailer, etc.” include “A mobile home or trsilcr,” find “A boat ) tent, “ml, etc.”

“UTILITY GAS” IIICLUIIES “GAS1 FROM UttDERGROUlID PII’CS (SLRVIIIG THE IIEIGItDORllllllD.”

FUELS 1IICLIII)E “UTILITY GAS” (SEE FOOIIIOJE 26), “IIOJJI.ED, JAllK OR LP GAS,” “ELECJRICIIY,” “FUEL OIL, KEKOSEIIE. EJC..” “COAL OR COKE,” “11tlOUr” “OIIIER FUCI..‘~ AltU “Ii0 FUEL USEI).” TAnllLATIOllS OF “lJTIIER” IItCLUDE ALL CAlEGURIES HOT 51101111 SEPARAJELY Ill 1llE NAIRIX.

GRIISS REIIT AtID COltTRACT REII’J ARE TADULAJEU TOIt All “HEIITEK-OCCUPIED” UIIIIS EXCEI’T DUE-FAtlILY IIU0IES 011 A PROPERTY OF 10 OR IlURE ACRES. UllIlS IADUlATLO III lllf “110 CA511 REIll” CATEGORY ALSO EXCLIJGE UllE- FAtlILY lIDPIES 011 10 OK FIGRE ACRES. A UIIIJ CLASSIFIED AS “Ill) CASII HEHI” III CDIiIItACl RCIII WILL KEIIAItI 110 CAStI RktII III 1tlE CR055 REIII DISJKlDUlIOll EVrll ~II: TIIC 111111’5 GCCIII’AIITS PAY Fllli Ill II,ITtES lIICM- SEI.VI:S. GROSS REtIT IS 1llE SUE1 OF CUIIiIlACT REIIJ AIll) IIIll.IlY COSIS. KElll ASKEI) IS IAUULATLD FllH “VACAIIT- TIIK-REIII” 1111115 EXCI’PJ ONE-FAHILY IIOMES 011 IO OR mt(c ACRES..

/

.

SJF3 DAIA IIOtlAKY 0</29/82 30 "UIILITIES" IIICLLIDE "ELE' IRICIIY,'

"GAS," "WAIER," AND "OIL COAL, KEROSEtlE. WOOD. EiC."

11 IllCt.UOES llllUSFllDLDS 151111 ZEKU OR IlEGAIiVE illCfJFlli AND 1111115 IADULATED Ill IIIE "III1 CASII REIII" CAIEGORY.

12 "SELECIEIJ HlllllllLY Ol.lliCR l:OSlS" I5 ItIE SUN OF PAYtlEIITS FIJR R6AL ESIAIE IAXES. PROt'L'I~lY 1IISUHAtlCE, UlILlIIES (SEE FOUJIIDIE 30). AttD REGULAR PIORICAGE PAYPIEIITS.

THE NOtlCONDGMIlIIUt4 VALUE AND SELECTED MONTHLY OWNER COSTS DISTRIDUTIONS ,UtE RESTRICTED TO CERTAIN KINDS

OP~"OWNER-OCCUPIED" OR “VACANT-FOR-SALF, ONLY" UNITS. TtDZ FOLLOWIIIG ARE EXCLUDED FROM THE TABUWTIONS ON

VALUE FOR NONCONDOHINIUM UIlITS:

A.

8. C.

0.

UJ'iITS AT AN ADDNSS WITH T!h'O OR i4Ol-B UNITS. UNITS ON 10 OR MORE ACRES.

UNITS WITH A CONMERCIAL ESTABLISHMENT

OR MEDICAL OFFICE ON TIIE PROPERTY. NOBILE UOMES 08 TRAILERS.

54 ItlCLUOES'll0lJSEllOLDS WIIll ZERO OR NEGAIIVE IIICOIIE.

HULIII‘LY IIIE AGGREGATE VALUE ay 6250 10 ODIAltl IIIE TRUE VALUE. IIIE lADULAlIOII WA5 SCALEII DY A FACTOR OF 250 FOR TALLY PUI?PDSES.

"CJIIII CEtIlHAL IIEATIllG SYSIEll" IIICLUIJES "STEAEI OR IlDl WAIER SYSIE~I." "CEIIIKAL WARtI-AIR FURtlACE.'* "ELCCIRIC lIEAt t'IIFIt'r" "lI'lIIt1R BUILT-III ELECIRIC UllII5." AIID "FLOIJR, WALL. OR PIPEIESS FURllACE." "LACKIIIG CEIIIRAL IICATItIO SYSIEII" IIICLUDES "KOOPI IlliAIERS WIltt FLUE," "RUUII IIliAJFHS WIIIIlJlJl FLUE," "FIREPLACES. SIIJVLS. OR I'ORIADLE ROOM IICAIERS." All0 "IlflllE."

37 LACKIIIG ClJIIl'LEl(: PLIIMDIIIG (FACILIIIESI FOR CXCIUSIVC USE IIICLUIJES~ C(JIII'LLIE PLlIEllltllG (I~ACILIlIESJ UUT ALSO USED JJY AtIIJiIIER IIOUSEtIOLO.

STFJ DATA DICTIOIIARY 04/29/i52 SOME BUT tlOT ALL PLUHLIING FACILITIES, OR 110 PLUllDlllG FACILITIES.

38 TIIESE COUNTS ARE IIOT AVAILABLE FOR SUMIhRY LEVELS 011 SIF 3;FILE 8. ZEKIJ (0) WLLL DE 51101111.

j9 SEE APPEIIDIX 02 FUR LAIICUAGE CODES.

40 SEE APPEIIUIX 81 FUR AlkESTHY CODES AIID FDH DEFIIIITIOII OF SIHGLE AIID llULTIPLE AIICESTRY.

41 SEE Arrlr'tlDIx 84 FOR nFFitlITIoN OF IIII‘IAIE STATUS lIIDIIIIISTITUTIOHAL Allll III5IIlulIflllAL) AllD FOR TYPE OF GROUP QUARTERS CGUES.

42 SEE ArrEtlDIx 05 FOR IIIDUSTRY CODES.

43 SEE ArrEllDIX 86 FOR DCCUPATIOH CODES.

44 rER CAPITA IucnblE IS CALCULATED BY DIVIDIIIG TIIE AGGREGATE INCOME FOR PERSOIlS 15 YEAHS AIID OVER BY TllE TOTAL lII!l-IDER OF rERSOl~5 III IIIE Gilour.

45

46

SEE ArrEtIDIX B? FOR DEFlMXTIONS OF LAOOR FORCE STATUS CATEGORIES.

PEHIOD OF SERVICE IIICIUDES "llAY 1915 (Ill LAIEH." "VIETIIAH ERA," "FliDKuARY 1955 TO JULY 1964." "KOREA11 COIIFLICI." "NORLD UAR II,' "I~IJRLI~ WAR 1," AIIU "UTIIER SERVICE." TADULATILIIIS OF "GTIICR" IliCLlJOE ALL CAIEGGRIES 1101 SIIOWH SEPARATELY III TIIE HATNIX.

41 SEE Al'PEllDIX 85 FOR RACE CODES.

40 IIICLUOES CASES CLASSIFIED As "KEPORIEO" AtlO AS "IlOT REI'ORTED" FOR PLACE OF WORK.

49 EXCLUI)ES AREIEIIIAII. G[:ORGIAIi. RUIIIEIIIAII. UKRAIHIAll, AIID llELORu55IAN.

50 EACII SAM'IE I'ERSDtI AllD llOUsIllG UIIIT LJAS ASsIGll1D A I~lEIGIIl AS IIIE RESULT OF A COEIPLEX RATIO ESII~IAIIOII PROCEDURE.

.

.

STF3 DATA DIL,,OIIARY 041291112 E ASSI(411 D OllE SAMPLE IIOUSl1lG UIIITS WER

WlZICllT EACII AIID SAMPLE PER54115 WI Rlr ASSIGIIED Ill0 TYI'ES DF IIEIGIIIS. 1llE FIRS1 CIEIGIII FOR I'EI!5l1115 Al':'LllS 10

. . - - ___ _- .__ .~~~.~ (I.E.. RESIDEIICE :II 1915 TIIIS WEIGIII 1,111s ASsICllliD TO ALL

) IAUIILAI IlIt

SA~IPIE rEI:sOII5. IIIE sl:CDllD _.~ -- ~.~~~~~~~ WEIG~IT FOR rlxsnlls. l4lIcll AI'rLIES TG PLACE UF IIORK, TRAVEL TIIIE IO WINK, MID ElIGRATIUII DAIA. LIAS ASSIGHED 10 Illll5E 5A~ll'l.E I'EllSOIIS lJl1ll IIERE IIICLUOCD III 1llE I'LACE OF WUHK AllI) LlIGHATIUll CODIIIG UPERATION. TIIESE WEIGIIIS VARY FRINI I'CilSOII TO PER- SlItI AlIll FRIIII llUUS1llG Ullll 7D llDU51tlG Ulllr.. DUl 011 TIIE AVERAGE TIIEY ARE Al'fROXIllATCLY EQUAL 10 TIIE IIIVEIISE OF EACII RECORD5 SAIlrLE SFI I'CTIO:I rHDRAnILIIY. IIIE TAI,ULA FILE ARE BASED 011 sll~l1-111lG II LIEIGIITS OF TIIE Al'rRUI'llIAlE I

. _ _ _ . TIDIIS Ill TIIIS

IIE I'ERSOIIS 0 IllE OR llDUS1116 UIIIIS HELA'lIllG Tl

TAUULAlIDII. FOR SPECIFIED AGGREGATES. IIIDICATEI) IiEIOIJ CIIARACTEIlISTIC DATA AHE IIUL nY 11lF I.II~TcIII I FOR EXAEII'LC.

iIZED

50115 TIIE IED DY TllE

III AGGREGAIE IllCDllE FUR I'CR AfIilIIIIT OF IIICOIIE IS NlIl~l~lrl WE1cllr. I?) PIEUIAIIS. IIIE WEIGlll5 ARE DROUGIIT TO DEAR IIIDIHECILY TlIRDIIGIl IIIE DISIRIDUTIDII USED ill CALCULATE TIIE ElEASlIRi!. FOR FAMILY AIID lll1U5CIILlLI) TAUlJLAl~IUIIS ~I'OI'ULATIl1tl IYI'E), DIILY IIIE WElGlliS OF TIIE 110115EIIlJLDl:k ARE USED. FUR SUOFAFlILY TADULATIOIN USEU ARE TIIDSE ASSlCII~I~ 5uoFAblILY REFEREilCE I'EKS

IS, TIIE WEIGIITS TO TM

iOll (I.E.. TIIE PERSOIl WIIO 15 TIIE C(IUIVALEllr OF A IIOIJ5ClIDLIlER FOR TIIE SIIUl~AtIILY). THE FDLLOWIIIG IS A LISIIIIG OF IllE WEIGIIIS USED Ill rRODUCIIIG EACII TAllULAII~II:

PERSOIIS LIEIGIIIS -- TADULATIOll5 1. 7. a. 12-17. 19. 22. 24-67. al-85. AllD 90-95.

l

IlOIEl 1ALllJLATIOIIS 31, 60. 64, 83. AIID 11'1 ARE AGGREGATES.

TADIILA11lltl5 34-39, 41, Allll 42 USE TIIE PLACE

5TF3 DATA DTCTIOtlARY 0+/z OF IIORK. TRAVEL TINE TO I40IIK. AIID NIGR,\TICII NEIGIIT EXCLUSIVELP. lADllLAlIlltl 42 15 ,111 AGGKEGAIE.

TA,,UL,,TIOIIS 82 AIID .9S ARE UCRlVCD I‘IEASUIIES.

IIOUSEIIOLDEK LrCII5OII) W~IGll15 -- TADULATIOIIS 9, 10, 18. 20, 21. 68-80. AllI) 86-89.

9/8:!

IiOlEl TABlJLAIIONS 70. 72, 77. 78, AIID 80 ARE AGGREGATES.

TAllULAIIOllS 69 AIID 74 ARE UCRIVEO HEASURES.

SUBF,ANILY HEFEREIICE rwsobl LIEIGIIT -- IAUULATIOll 23.

IIOUSIIIG UIIIT WEIGlllS -- 4. 11. AIID 96-150.

IIOTEI TAIIULATIOIIS 100. 101. 104. 12lI, 129. 137. 140 AND 141 ARE AGGREGATES.

~ADULATIUIIS 127 AIID 134 ARE DERIVED MEASURES.

UHWEIGIITED, COIIIIIS -- TADULATIOIIS 2. 3, 5; AIID 6.

IIOTE: TADULAlIONS 2 AIID 5 ARE AClUAL (lItlIT COUIITS OF PLRSollS AIID IIUIISItIG UIIIIS III 1llE SAfll'LE.

TAUULATIOII5 3 A1111 6 ARE LOO-rCKCEll1 ClIIIII15 OF I'CRSIIIIS AIID llUU511lC UIIIIS.

51 INCLUDES FEMALES 1~1110 ARE A IlOUSE- IIOLDER, A SPOUSE OF IIUIISEIIOLI~ER. A PIUTIIER Ill A IIOTIIEK-CIIILU SU11- FAHILY. OR A FCFIAI~E SPOUSE III fi MARRIED-COUPLE SUUFAt4ILY.

'52 IIOT USED.

53 CODE RAIIGES tlAY IIICLIJDE CODES I4IIICII ARE II01 USCI).

54 ",,i,REl~ATliU 1IlIIIVIUUAI.S" IIICLUDE 11~ill1~El~~llVt5 Ill FAPI1I.Y IIUUSE- Iilll~I)S. I'CK50115 III llUllFAl~llLY llOUSEllOLD5, Aill) llU1lIll~lAlES III GROUP QIIAKlCRS.

$5 The term "cell not used" indicates that P data ' i'cem or "cell" contains no data.

56, Not used.

YART II

Information applicable to Summary Tape Files l-5.

179

OVEBVIEW

19630 Census Summary Tape Program

Computer-readable data from the 19SO census include both summary data and microdata. Summary data include Summary Tape Files (STF's) 1 to 5, which are generally comparable to the First Count through Sixth Count files from the 1970 census. In addition to the files in the STF series, other summary data released by the Bureau include a P.L. 94- 171 Population Counts file for Use in reapportionment/redistricting (released in February/Uarch, 1981) and the Master Area Reference File which provides geographic items from STF 1 and selected population and housing items (all individual State files released beginning September 1981). All of these files contain data summarized to various levels of geography. Microdata files, on the other hand, contain disclosure- free household and person records from the census. These files are similar to the 1970 Public Use Sample files and will be available in mid to late 1962.

Content and Geographic Coverage of Summary e Files - -

Summary Tape Files vary by summary level of geography, detail of information, and whether they include loo-percent or sample data. STF's 1 and 2 provide data based on the set of census questions asked of all persons and housing units. These data are loo-percent data. STF's 3, 4, and 5 are based on sample data. These data are estimates based on the responses of a sample of the population and housing units and contain more extensive housing and population information. In 1980, the sampling rate was 1 in 2 in governmental units estimated to have less than 2,500 inhabitants and 1 in 6 elsewhere. Overall the sampling rate was approximately 1 in 5. The Bureau's 1977 population estimates were used to determine the sampling rate for a given area.

The geograpnic detail of STF 1 is the maximum possible detail available from the census: data for individual blocks in block- numbered areas and for enumeration districts outside block-numbered areas. The lowest level of geography provided bY STF 2 is census tract, or minor civil division/census county division (XD/CCD) and places of 1,000 or more inhabitants in nontracted areas. The lowest level for STF 3 is the block group or enumeration district, while the smallest geographic unit for STF 4 is census tract, or MCD/CCD and places of 2,500 or more inhabitants in nontracted areas. STF 5's lowest geographic level is the standard metropolitan statistical area (SdSA), central city(ies), other places of 50,000 or more inhabitants, and counties of 50,000 or more inhabitants.

STF's 1 to 4 each consist of multiple files labelled A, B, and C. Each file features specific levels of geography. Figure 8 details the geographic levels on each STF.

181

SXA (rn). .................... . SciA tithirl state (06). ....... . - (07) ..................... sz.4 within sure (OS). ....... IIII

l

- l

- &a (ce). .......... .

ulbplmd Ara ntbin stats

(IO). ...................... *

o⌧mty within sfnte (11) ...... * l

y1) (cm) within ca0ty within

sure (12) .................. l

Place timiLl .%are (rr)....... SD (an) within 5Yat-s (za)... Indim a%ervatial and Al.aska xsrri7-e Village (29) . . . . . . . . .

Inddn Pesermtion ar93 Alaska .x?.tim3 village within County vi.thia sate (30 ard 31).....................

l

*

l

* .

.

*. l l .I *

.

. *

. * . *

.

l

FOOTNOTES TO FIGURE 6

In l ddltlo. to .umm.ry .r.s. pr.s.nt.d 0. th. Summary Tapa File.. geqr.phfc .re. 0~4.. .re fnc1"d.d for .I... ‘"ch . . Ward. SUE. Econoaic Area, Di*trict Office. Indian S”br...rv~tlon. .nd Standard Podoral Adminl.tr.tis. IWion.

Populatioo .iI. cutoffs for the pr....t.tLon of P1.c. level d.t. in the STP'a .re .s folio.,:

STP 3A all placer STP 38 All S-digit zip cod. .r... STP 3C 10,000 or more

STP 2A 10,000 or more STP 2B 1,000 or more STP 2C 10.000 or more

STP 4A 10,000 or more STF 40 2.500 or more STP 4C 10,000 or more

ST? 5 50.000 or more

Yultlpls .umm.r, level cod.. for . Summv~ Area indicate . 8.ri.e of very siailar ‘"mm.rF l.v.ls which .r. pr.s.nt.d 1. td.ntlcal STP files. A specific ListinE is sho.n below of s"mm.ry l.s.ls vhicn are grouped together from th. chart. (A slash m.rk "1' i. used to indic.t. Within.")

Groupin& 13, 14. 15 .nd 16: 13. Place/MCD tiD~oiiiity/Stat. 14. Tract (BNA)lPlac./UCD (CCD)/CountYlStat. 15. BG/Tract (BNA)IPl.c.IYCD (CCD)/CO"ntFIStat. 16. BD/Trrct/Plrcs/YCD (CCD)lCour.ty/St~t.

18 16 20 2L and 22: yyw - - - -

19: “CD (CCD)ICounty/BFiSii/~at. Plac./YCD (CCD)lCount9/SNSA/St~t.

20. Tr.ct (BNA)/Plac./YCD (CCD)lCountYlSNSAlSt~t.

k BLock,Tr.ct (BWA)/Plac./YCD (C~)lCo”nty/SNSA/St~tc ED/Tr.ct/Plac./YCD (C~)ICo"ntyISNSA/Strt.

Growin$ 23 and 24: Pl.cs/CountF/SYSA/Strte Tr.ot (SNA)lPl~c./Co”nty/SUSA/St~t.

Block/Tract (BNA)fPl.c.lCou.tF/S~A/St~t. EDlTr~ctlPl~c.lCou.tF/SMSA/St.t.

Grouting 30 .nd 31: ln~a~i&-Vations and Alaska N.tis. ril1aS.s by Btata Indian R...m&tion. .nd A1a.h Native vll1aS.s by County

.itlli* stat.

DlstrictlStbt. PL~c./ConSr.saLoa~l Disrrict/Stata YCD/ConSr.sslonal Di.trictlStat.

For comparison purposes, JTF 1 is similar in subject matter and geographic detail to the First and Third Count files for 1970. STF's 2 and 4 are roughly comparaole to the 1970 Second and Fourth Counts, respectively. STF 3 is comparable to the 1971) Fifth Count, while STr‘ 5 corresponds to the 1970 Sixth Count. To summarize. STF 1 contains more derailed geography but less subject matter detail than STF 2. Similarly, STF 3 contains more detailed geography but less subject matter detail than STF 4. STF's 1 and 2 contain complete count data, while STF's 3 and 4 contain sample estimates. Finally, STF 5 contains sample estimates aggregated to a higher level of geow*phy than the other files, but which are presented in the most subject matter detail.

1980 census w

Users may need certain types of maps for the geographic area(s) t?ev are extracting from the file(s). To determine which maps best define the geographic area(s), compare the geographic coverage of each file (see Appendix A) with the aescription of each type of lYt(i) census :nsp (see below).

The maps used in conjunction with the above summary tape files consist of five basic types: county m*ps, place maps, place-and- vicinity maps, Indian Reservation maps, and Metropolitan lap Series (tihlS) or Vicinity Map Series (VMS). Ordering information for these maps may be obtained from Data User Services Division, CustoIlrr Services (Maps), Bureau of the Census, Washington, D.C. 20233.

All five map types have several characteristics in common:

--TO improve legioility, most 1980 maps are at a larger sc:x:e than were tne comparable lY70 maps.

--Symbols used for the various boundaries are consistent for all five types of maps.

--Names, identifying numbers, and boundaries are shown 'where appropriate on al1 maps for counties and equivalent

entities, minor civil divisio,ls (1ICL)'s) or census county divisions (O's), places, American Indian reservations and Alaska Native villages, census tracts or block numbering areas (BNA's) where present. enumeration districts (ELI'S) (in those areas which are not block numbered), and blocks.

--All maps show metric, feet, and mile scales.

--All maps containing block-numbered areas will be available froln the U.S. Government Printing Office.

The following paragraphs present a brief description of each type of Lmnap.

184

County w. County maps *l-e the backbone of the Bureau's map coverage. Theoretically, with a complete set of these maps the over*11 picture of the census geographic framework for the entire United States and its possessions is shown. hbst maps in the county series are at B scale of 1 inch:1 mile. Most county maps are created by superimposing boundaries for most areas for which data are tabulated on base maps supplied by State transportation or highway departments. There are approximately 5,500 county map sheets for 1980. The following geographic area boundaries are defined on county maps where appropriate: State, county, minor civil divisions (MCD's) 01 census county divisions (CCD's), places, American Indian reservations, census tracts or block numbering areas (BNA's), and enumeration districts (ED's) or numbered blocks. In addition, the locations of Alaska Native villages are indicated. Counties which *re totally covered by Metropolitan Map Sheets (YMS) do not have separate county maps.

Place *. For places not covered on MMS or VMS sheets where most of the development is contained within the corporate limits of * municipality or within the boundaries established for a census designated place (CDP), the Bureau uses place maps. The scale of the place maps varies from place to place. As with the county maps, most are created by superimposing boundaries for most areas for which data are tabulated on base maps supplied by local or State governments. On the county map, shading is added to indicate the area covered by the place map; i.e., the place map is regarded as an inset to the county map. There are about 12,300 place map sheets for 1980. The geographic area boundaries defined on place maps are the'same as for county maps.

Place-and-Vicinity *. For places not covered on MMS or VMS sneets which have areas of development outside the corporate limits of a municipality or outside the boundaries established for a CDP. the Bureau uses place-and-vicinity maps. Also included in this are

category maps of places which have parcels of land that are not part of

the city but are completely surrounded by the city and where two or more places appear on the same map sheet. .In all other respects, place-and-vicinity maps have the same characteristics as place maps. As with the place maps, all area covered by the place-and-vicinity map is shaded on the county map and the place-and-vicinity map is considered to be an inset to the county map. There are about 3,300 place-and-vicinity m*p sheets for 1980. The geographic area boundaries defined on place-and-vicinity maps are the same as those specified for county maps.

Indian Reservation w. The Census Bureau developed separate maps for 18 American Indian reservations which could not be depicted adequately on county maps; these maps are very similar in format to county maps. There are approximately 75 American Indian maps and

reservation these maps are special insets to the county maps. The

geographic area boundaries defined on these maps *re the same BS those specified for the county maps.

:Aetropolitan 9 Series/Vicinity w Series (MMS/VMS). For the Nation's major built-up areas, the Bureau has developed its own malls to provide uniform coverage of the densely settled portions of the counties involved. These maps are referred to as the Metropolitan M*p Series (MMS) when the maps cover SMSA counties and as the Vicinity Map Series (VW) when the maps cover areas which are not in *n SMSA. The predominant scale for the MMS and VMS is 1 inch:1,600 feet. In selected areas with very dense development, some sheets are at 1 inch:800 feet; conversely, some sparsely settled areas are mapped at 1 inch:3,200 feet. Tbe MMS and VMS are considered to be insets to the county maps and the areas covered by MMS and VMS are shaded on county maps. There are about 10,400 MMS and VMS sheets for 1980. (In a few instances, these map sheets entirely cover a county, in which case no separate county map exists.) The geographic area boundaries defined on the MNS are the same as those specified for county maps, but also include urbanized areas.

In addition to the five types of maps described above, there are a number of "outline" maps (maps that do not show any data, only the *leas to which data can be related) that are prepared and published as part of the various report series. As was the case with the maps previously described, the maps included in the printed reports share common characteristics. Both metric and mile scales are shown. Map scale and content are similar to 1970 except where noted below; however, presentation has been improved to make the maps SlcJI-2 readable and consistent from series to series.

The County Subdivision m Series consists of at least one map page for each State showing the names and boundaries for the state, each component county or equivalent entity, minor civil divisions (MCD's) or census county divisions (CCD's), and all places, both incorporated and census designated. For most States, the scale Of the maps requires tnat they be presented in sections. For 1980, the boundaries (not just the locations) of places with fewer than 2.500 inhabitants are shown for the first time. In addition, the natne(s i Of adjoining State(s) are shown along with a mark to indicate wnere the State boundaries intersect. These maps, which are based on t.1e State base maps of the U.S. Geological Survey (USGS) National Yapping Program appear in PCgO-1-A. Single-sheet versions of the county subdivision map series will be published at the USGS scale of l:SOO,OOO (1 inch equals about 8 miles) for all States except Alaska and the outlying areas, and may be fitted together to form multi- State maps. For those States in which American Indian reservations Ol- Alaska Native villages are located, a special version of the county subdivision map showing these entities appears in PCSO-1-B and HCSO-1-A.

The Urbanized Area Outline * Series consists of one or more map sheets for each urbanized area (UA) defined on the basis of the 19)iro CeIlSUS results. The names and boundaries of all States, counties, xCD's/CCD's, and places on each map are shown, plus the e*tent of territory defined as "urbanized." These maps appear in PCXO-l-.4 an:i tiChO-1-A. In 19&J, the report for each State containing part of 3 multi-state UA will include the map for the entire UA.

Tne State SCSA/SMSA Series shows county names and boundaries, namesandlocations of a n-with a pouulation of 25.000 or more Or designated as the cehtral city 0P -an SMSA, and names and boundaries of standard consolidated statistical areas (SCSA's) and standard metropolitan statistical areas (SMSA's) in the State. For 19dO) the name of the capital of the State is underlined. These maps appear in PCUJ-1-A. B, C, D; HCdO-l-A, 9; and HC80-2.

The Census Tract Outline = Series covers each of the areas for which tracts have been defined in 1980. These maps snow the boundaries and code identification numbers for each tract; the names of streets or other features used as census tract boundaries; and the names and boundaries for counties, MCD/CCD'S, and all places (not just those over 25,000 as in 1970). Street detail within the tracts is not shown. Separate insets of larger scale than the base maps are included for densely developed areas; however, fewer insets are used tnan in 1970. Scale varies from map to map. For 1980, tract outline maps will oe prepared for tracted counties outside SMSA'S. These maps appear in PHC80-2 and also are available separately.

Alp sets will be printed for all block-numbered areas, grouped by SMSA and the nonSMSA remainder of each State. In addition to printed copies of the county, place, place-and-vicinity, and Metropolitan Map Series/Vicinity Map Series (MMS/VMS) sheets having block-numbered areas, there will be an index map depicting the extent of the block- numbered area for the SldSA and State. The SMSA Numbered AreaS * will show the

-,to - Index Block

idCO/CCD, extenttz the SM5:; c,";~z;,

and place names and boundaries; and extent numbered *re* within the SMSA shown by means of shading. The State Index to Block-Numbered Areas e were prepared by superimposing the -- extent of all block-numbered areas in the State over the county subdivision map. This index map will also show the boundaries of the SMSA(s) in the State so that the reader can determine whether the data for any block-numbered area in the State are available with the SMSA tabulations or tne remainder-of-State tabulations.

rtelevant Articles and Publications

Tne following is a list of reference materials which provide additional information concerning the 1980 census.

Census '80 Introduction to Products and Services. publicat= provides a general outlineaf

This 13 page information and data

available from the 1980 census. Limited free copies are available from Data User Services Division, Customer Services (Publications), bureau of the Census, Washington, D.C. 20233.

PHCSU-Hl-A. Part A, Text. Users' Guide. to the 1980 ce= data7

This comprehensive guide available from the Superintendent of

Documents, U.S. Government Printing Office, Washington, D.C. 20402. S/N Oti3-024-03625-S. Price is $5.50. Other parts to the guide will be issued as they are prepared.

187

z Census Update. This publication was -- issued quarterly film January, 1977 to July, 19X1. The updates were intended to keep the data user current on the 1980 census planning and preparatory activities. Sack copies are available free of charge from Data user Services Division, Custolner Services (Publications), Bureau of the Census, Washington, D.C. 20233.

Data USeI- News. This monthly newsletter --- provides continuous reporting on Census Bureau programs and products. A subscription is available from the Government Printing Office for $19 a year.

Monthly Product Announcement. This free announcement lists new products released each month from the Census Bureau. These products include publications, technical documentation, data files, published maps, and microfiche. To be added to the mailing list, contact 3at.3 LJSctl- Services Division, Customer Services (Publications), &~reau of the Census, Washington, D.C. 20233.

STF 3 TECHNICAL INFORMATION

Introduction \~

The data available on STF 3 are hased on the 1980 census sample. The data are estimates of the actual figures that would have resulted from a complete count. Estimates can he expected to vary from the complete count result, because they are subject to two basic types of error---sampling and nonsampling. The sampling error in the data arises from the selection of persons and housing units to be included in the sample. The nonsampling error, which affects both sample and complete count data, is the result of all other errors that may occur during the collection and processing phases of the census. A more detailed discussion of both sampling and nonsampling error and a description of the estimation procedure are provided below.

Sample Design

While every person and housing unit in the United states :"as enumerated on a questionnaire that requested certain basic demographic information (e.g. age, race, relationship), a sample of persons and housing units was enumerated on a questionnaire that requested additional information. The basic sampling unit for the 1980 census was the housing unit, including all occupants. For persons living in group quarters, the sampling unit was the person. Two sampling rates were employed. In incorporated places of less than 2500 persons (based on precensus estimates), one-half of all housing units and persons in group quarters were to be included in the sample. In all other places, one-sixth of the housing units or persons in group quarters were sampled. The purpose of this scheme was to provide relatively more reliable estimates for small places. When both sampling rates were taken into account across the Nation, approximately 19 percent of the Nation's housing units were included in the census sample.

The sample designation method depended on the data collection procedures. In about ninety-five percent of the country, the census was taken by the mailout/mailback procedure. For these areas, the Bureau of the Census either purchased a commercial mailing list which was updated and corrected by- Census Bureau field staff, or prepared a mailing list by canvassing dnd listing each address in the area prior to Census Day. These lists were computerized, and every sixth unit (for l-in-6 areas) or every second unit (for l-in-2 areas) was designated as a sample unit by computer. Both of these lists were also corrected bv the Post Office.

In non-mailout/mailback areas, a blank listing book with designated sample lines (every sixth or every second line) was prepared for the enumerator. Beginning about Census Day, the enumerator systematically canvassed the area and listed all housing units in the listing book in the order in which they were encountered. C"i.jpleted questionnaires, including sample information for any housing unit which was listed on a designated sample line, were collected.

189

In both types of data collection procedure areas, an enumerator was responsible for a small geographic area known as an enumeration district, or ED. An ED usually represented the average workload area for one enumerator.

In order to reduce the cost of processing, a scheme was designed while the sample questionnaires were being processes, to select a sample of questionnaires on which the place of work and migration data items would be coded. The sample questionnaires were processed by work units consisting of 1980 census EDs. In work units (EDs) where the place of work and migration data items had not yet been coded, every other sample questionnaire within the work unit was selected for these coding operations. In work units where the place of work and migration data items already had been coded, all sample questionnaires were included in the tabulation.

Errors in the Data ---

Since the data in this file are based on a sample, they may differ somewhat from complete-count figures that would have been obtained if all housing units, persons within those housing units, and persons living in group quarters had been enumerated using the same questionnaires, instructions, enumerators, etc. The deviation of a sample estimate from the average of all possible samples is called the sampling error. The standard error of a survey estimate is a measure of the variation among the estimates from the possible samples and thus is a measure of the precision with which an estimate from a particular sample approximates the average result of all '- possible samples. The sample estimate and its estimated standard error permit the construction of interval estimates with prescribed confidence that the interval includes the average result of all possible samples. The method of calculating standard errors and confidence intervals for the data on STF 3 is given below. In addition to the variability which *rises from the sampling procedures, both sample data and complete-count data are subject fb nonsampling error. Nonsampling error may be introduced during each of the many extensive and complex operations used to collect and process census data. For example, operations such as editing, reviewing, or handling questionnaires nay introduce error into the data. A more detailed discussion of the sources of nonsampling error is given in the section on Control of Nonsampling Errors.

Nonsampling error may affect the data in two ways. Errors that are introduced randomly will increase the variability of the data, and should therefore be reflected in the standard error. Errors that tend to be consistent in one direction will make both sample and complete-count data biased in that direction. For example, if respondents consistently tend to underreport their income, then the resulting coun~ts of households or families by incoine category will he below the actual figures. Such biases are not reflected in the standard error.

190

Calculation of Standard Errors -

1. Totals and Percentages. Tables A through C, pages 204-208, contain the information necessary to calculate the standard errors of sample estimates in this file. In order to perform this calculation, it is necessary to know the unadjusted standard error for the characteristic, given in table A or B, that would result under a simple random sample design (of persons, families, or housing units) and estimation technique; the adjustment factor for the particular characteristic estimated, illustrated in table C; and the number of persons or housing units in the tabulation area and the percent of these units in sample, derivable from each STF 3 record. The adjustment factors reflect the effects of the actual sample design and complex ratio estimation procedure used fo- the 1980 census.

To calculate the approximate standard error of a" estimate, follow the steps given below.

8. Obtain the unadjusted standard error from table A or B (or from the formula given below the table) for. the estimated total or percentage, respectively;

b. For the geographic tabulation area with which you are working, compute the "percent in sample" by dividing the appropriate unweighted sample count by the corresponding loo-percent count. For person and family characteristics these figures are found in STF 3 tables 2 and 3; for household and housing unit characteristics these figures are found in STF 3 tables 5 and 6.

C. Use table C, illustrated on page 208 hut distributed in a separate printout for each State, to obtain the factor for the characteristic (e.g. work disability, school enrollment) and the range that contains the percent in sample with which you are working. Multiply the unadjusted standard error by this factor. If the estimate is a crosstabulation of more than one characteristic, use the largest factor.

As is evident from the formulas below tables A and B, the unadjusted standard errors of zero estimates or of ver? small estimated totals or percentages approach zero. This is also the case for very large percentages or estimated totals that are close to the size of the tabulation areas to which they correspond. These estimated totals and percentages *Fe, nevertheless, still subject to sampling and nonsampling variability, and an estimated standard error of zero (or very small standard error) is not appropriate.

For estimated percentages that are less than 2 or greater than 98, use the unad,justed standard errors in table B that appear in the 2 or 98 row. For an estimated total that is less than 50 or within 50 of the total size of the tabulation area, use a" unadjusted standard error of 16.

191

As is evident from the formula below tables A and B, the unadjusted standard errors of zero estimates or of very small estimated totals or percentages approach zero. This is also the case for very large percentages or estimated totals that are close to the size of the tabulation areas to which they correspond. These estimated totals and percentages are, nevertheless, still subject to sampling and nonsampling variability, and an estimated standard error of zero (or very small standard error) is not appropriate.

For estimated percentages that are less than 2 or greater than 98, use the unadjusted standard errors in table B that appear in the 2 or 98 row. For an estimated total that is less than 50 or within 50 of the total size of the tabulation area, use an unad- _- ,iusted standard error of 16.

An illustration using the tables to compute standard e,'.';,I-' begins on page 194.

2. Differences. The standard errors estimated from these tables are not directly applicable to differences between two. sample estimates. In order to estimate the standard error of a differ?ncz, the tables are to be used somewhat differently in the following three situations.

8. For the difference between a sample estimate and a complere- count value, use the standard error of the sample estimate.

b. For the difference between (or sum of) two sample estimates, the appropriate standard error is approximately the square root of the sum of the two individual standard errors squared: that is, tes x and y:

for standard errors Sex and Se7 of estima-

Se (x+y) = Se (x-y) .= (Sex)' + (Seyj2

This method, however, wills llnderestimate (overestimate) the standard error if the two items in a sum are highly positively (negatively) correlated or if the two items in a difference are highly negatively (positively) correlated. This method may also he used for the difference between (cr sum of) sample estimates from two censuses or between a census sample and another survey. The standard error for estimates not based on the 1980 census sample must be obtained from an appropriate source outside of this documentation.

C. For the difference between two estimates, one of which is a subclass of the other, use the tables directly where the calculated difference is the estimate of interest.

3. Means. The standard error of a mean depends upon the variability of the distribution on which the mean is based, the size of the

192

sample, the sample design (for example, the use of households as a sampling unit), and the estimation procedure used.

An approximation to the standard error of the mean may be obtained as follows: compute the variance of the distribution on which the mean is based; multiply this value by five and divide the product by the total count of units in the distribution; obtain the square root of this quotient and multiply the result by the adjustment factor from table C that is appropriate for the characteristic on which the mean is based.

4. Medians. For the standard error of a median of a characteristic, it is necessary to examine the distribution from which the median is derived, as the size of the base and the distribution itself affect the standard error. An approximate method is given here. As the first step, compute one-half of the number on which the median is based (refer to this result as N/2). Treat N/2 as i: it were an ordinary estimate and obtain its standard error as instructed above using tables A, B, and C. Compute the desired confidence interval ahout N/2. Starting with the lowest value of the characteristic, cumulate the frequencies in each category of the characteristic until the sum equals or first exceeds the lower limit of the confidence interval about N/2. By linear interpolation, obtain a value of the characteristic corresponding to this sum. This is the lower limit of the confidence interval of the median. I" * similar manner, cumulate frequencies starting from the highest value of the characteristic until the sum equals or exceeds the count in excess of the upper limit of the interval ahout N/2. Interpolate as before to obtain the upper limit of the confidence interval for the estimated median.

Confidence Intervals

A sample kstimate and its estimated standard error mav be used to construct confidence intervals about the estimate. These intervals are ranges that will contain the average value of the estimated characteristic that results over all.possible samples, with a known probability. For example, if all possible samples that could result under the 1980 census sample design were independently selected and surveyed under the same conditions, and if the estimate and its estimated standard error were c nlculated for each of these samples, then:

(1) Approximately 68 percent of the intervals from one estimated standard error below the estimate to one estimated standard error ahove the estimate would contain the average result from all possible samples; and

(2) Approximately 95 percent of the intervals from tw!, estimate6 standard errors below the estimate to two estimated standard errors above the estimate would contain the average result from all possible samples.

The intervals are referred to as 68 percent and 95 percent confidence intervals, respectively.

-

193

The average value of the estimated characteristic that could be derived from all possible samples is or is not contained in any particular computed interval. Thus, we cannot wake the statement that the average value has a certain probability of falling between the limits of the calculated confidence interval. Rather, one can say with a specified probability or confidence that the calculated confidence interval includes the average estimate from all possible samples (spproxinately the complete-count value).

Confidence intervals may also be constructed for the difference between two sample figures. This is done by computing the difference between these figures, obtaining the standard error of the differences (using the formula given earlier) and then forming a confidence interval for this estimated difference as above. One can then say with specified confidence that this interval includes the difference that would have been obtained by averaging the results from all >cssib?e s2zn;lles.

7 'k c.= ? s f i "I : t 0 d standard errors given on STF 3 do not include all ycr- -ions of the variahilitg due to nonsampling error that may be present in the data. The standard errors reflect the effect of simple response variance, but not the effect of correlated errors introduced by enumerators, coders, or other field or processing personnel. Thus, the standard errors calculated represent a lower bound of the total error. As a result, confidence intervals formed using these estimated standard errors may not meet the stated levels of confidence (i.e., 68 or 95 percent). Thus, some care must he exerci,sed in the interpretation of the data on STF 3 based on the estimated standard errors.

For more information on confidence intervals and nonsampling error, see any standard sampling theory text.

Use of Tables to Compute Standard Errors -- -

1. The table shows that for [Anytown] out of all [329,571] persons aged 18 years and over, [12,524.] speak a language other than English at home. The procedure for obtaining the standsrd error of [12,524] will be demonstrated.

The unadjusted standard error for the estimated total is obtained from table A or from the formula below table A. In order to avoid interpolation, the use of the formula will he demonstrated here. BY- the formula, the unadjusted standard error, Se, is given by

Se = W

5 (12,524) (l- 12,524 = 247 persons.

470,816 ) 1

Note : The total count of persons for [Anytown] is [470,815].

The standard error of the estimated [12,524] persons aged 18 years and over who speak a language other than English at home is found by multiplying the unadjusted standard error, [247], by the

194

appropriate adjustment factor. Table 2 of the STF 3 record for [Anytown] shows [89,452] as the unweighted sample count of persons. This figure is found to he roughly [19] percent of the loo-percent count of[470.816] persons shown in STF 3 table 3. Table C lists the adjustment factor for the characteristic "Language Usage and Ability to Speak English." The column that gives the range which includes [19] percent in sample shows the adjustment factor to be (I.31 for "Language Usage and Ability to Speak English." Thus, the estimated standard error is 12471 x Il.31 or 13211.

The estimated percent of persons 18 or older who speak a language other than English at home is [3.8]. From table 6, the unadjusted standard error is found to be [O.l]. Thus, the standard error for the estimated percent of persons 18 or'older who speak a language other than English at home is seen to he [1.3] x [O.l] = [0.13].

A note of caution concern:ng numerical values is necessnry. Standard errors of percentages derived in this manner are approximate. Calculations can be expressed to several decimal places, but to do so would indicate more precision in the data than is justifiable. Final results should contain no more than one decimal place when the estimated standard error is one percentage point (i.e.. 1.0) or more.

2. In the previous example, the standard error of the [12,52Gj persons, 18 and older in [Anytown] who speak a language other than English at home is found to be [321]. Thus, a 95-percent confidence interval for this estimated total is found to be

[12,524] - 3 ([321]) to [12,524] + 2 (1321))

or

[11,882] to [13,166].

One can say with about 95-percent confidence that this interval includes the actual value that would have been obtained by averaging the results from all possible samples.

3. The calculation of standard errors and confidence intervals Will he illustrated when a difference of two sample estimates is obtained. For example, the number of persons in [Anyplace] aged 18 years and over who speak a language other than English at home is [12,500] and the total number of persons aged 18 years and over is [250,000]. Thus, the percentage of persons 18 years anti over who speak a language other than English at home is [5] percent. The unadjusted standard error from table B is IO.11 percent. The STF 3 record for [Anyplace] contains [49,000] as the unweighted sample count of persons in table 2 and [350,000] as the loo-percent count of persons yielding a percent-in-sample of [14] percent. From table C, the column that gives the range which includes [14] percent in sample, shows the adjustment fac-

195

tor to be Il.51 for "Language Usage and Ability to Speak English." Thus, the approximate standard error of the percentage (5 percent) is LO.11 x [1.5] = (0.151.

Suppose that one wishes to obtain the standard error of the difference between [Anytown] and [Anyplace] of the percentages of persons who were 18 years and over and who speak a language other than English at home.

The difference in the percentages of interest for the two cities is

[5.0] - [3.8] = [1.2] percent

Using the results of the previous example

Se([1.21) = (Se[5.0])2 + (Se[3.51)2

= \I ([0.151,2 + ([0.131)2

= LO.201 percent

The 95-percent confidence interval for the difference is forned as before.

[I.21 - 2 [0.20] to il.21 + 2 LO.201

or

[0.8] to [1.6]

One can say with 95-percent confidence that the interval includes the actual difference that would have been obtained by averaging the results from all possible samples.

Estination Procedure

The estimates which appear on STF 3 were obtained from an iterative ratio estimation procedure which resulted in the assignnent of a weight to each sample person or housing unit record. For any given tabulation area, a characteristic total was estimated by sun:ning the weights assigned to the persons or housing units in the tabulation area which possessed the characteristic. Estimates of family charsc- teristics were based on the weights assigned to the family members designated as householders. Each sample Person or housing unit record was assigned exactly one weight to be used to produce estimates of all characteristics. For example, if the weight given to a sample person or housing unit h<ad the value five, all characteristics of that person or housing unit would be tabulated with a weight of five. The estimation prccedure, however, did assign weights which vary from person to person or housing unit to housing unit.

The estimation procedure used to assign the weights was performed in geographically defined "weighting areas." Weighting areas were

196

-.

generally formed of adjoining portions of geography, which closely agreed with census tabulation areas within counties. Weighting areas were required to have a minimum sample of 400 persons. Weighting areas were never allowed to cross State or county boundaries. In small counties with a sample count of less than 400 persons, the minimum required sernple condition was relaxed to permit the entire county to become a weighting area.

Within a weighting area, the ratio estimation procedure for persons was performed in three stages. For Persons, the first stage employed seventeen household type groups. The second stage used tvo groups: householders and non-householders. The third stage could potentially use 160 age-sex-race-Spanish origin groups. The stages were as follows:

Persons

Group

6-10

11

12-16

17

Group

1

2

Stage 1. - Type of Household

Persons in Housing Units With a Family With Own Children Under 18.

2 persons in housing unit



5 to 7 persons in housing unit

8-or-more persons in housing unit

Persons in Housing Units With a' Family Without Own Children Under 18.

2 persons in housing.unit through 8-or-more persons in housing unit

Persons in All Other Housing Units

1 person in housing unit

2 persons in housing unit through 8-or-more persons in housing unit

Persons in group quarters

Stage II - Householder/Non-householder

Householder

Non-householder (including persons in group quarters)

197

Stage III - Age/Sea/Race/Spanish Origin

Group

9-16 Same age categories as groups 1 to 8

17-32

33-64

65-96

White Race Persons of Spanish Origin

Male

0 to 4 years of age

5 to 14 years of age

15 to 19 pears of age





65 years of age or older

Female

Persons Not of Spanish Origin Same age and sex categories as groups L to 16

Black Race Same age/sex/Spanish origin categories as

groups 1 to 32

Asian and Pacific Islander Race Same age/sex/Spanish origin categories as

groups 1 to 32

97-128 American Indian or Eskimo or Aleut Race

Same age/sex/Spanish origin categories as groups 1 to 32

Other Race (includes those races not listed above) 129-150 Same age/sex/Spanish origin categories as

groups 1 to 32

WiThin a weighting area, the first step in the estimation procedure '72 3 s to assign each sample person record an initial weight. This weight was approximately equal to the inverse of the probability of selecting a person for the census sample.

198

The next step in the estimation procedure WBS to combine, if necessary, the groups in each of the three stages prior to the repeated ratio estimation in order to increase the reliability of the ratio estimation procedure. For the first and second stages, any group that did not meet certain criteria concerning the unweighted sample count or the ratio of tbe complete count to the initially weighted sample count, was combined, or collapsed, with another group in the same stage according to a specified collapsing pattern. At the third stage, the "ether" race category was collapsed with the "White" race category before the above collapsing criteria, as well as an additional criterion concerning the number of complete count persons in each category were applied.

As a final step, the initial weights underwent three stages of ratio adjustment which used the groups listed ahove. At the first stage, the ratio of the coT?lete census count to the sum of the initial weights for each say~le person was computed for each stage I group. The initial weight assigned to each person in a group was then multiplied hy the stage I grou;, ratio to produce an adjusted weight. In stsge II, the stage I adjusted weights were again adjusted by tile ratio of the complete census count to the sum of the stage I weights for sample persons in each stage II group. Finally, the stage II weights were adjusted at stage III by the ratio of the complete census count and the sum of the stage II weights for' sample persons in each stage Iii group. The three stages of adjustment were performed twice (two iterations) in the order given above. The weights obtained from the second iteration for Stage III vere assigned to the sample person records. However, to ClVOid

complications in rounding f0* tabulated data, Only whole numbe: weights were assigned. For example, if the final weight for the persons in a particular group was 7.2, then one-fifth of the sample persons in this group were randomly assigned a weight of 8 and the reiiiaining four-fifths received a weight of 7.

Separate weights were derived for tabulating the place of work and migration data items. The weights were obtained by adjusting the weight derived above for persons on questionnaires selected for coding by the reciprocal of the ED coding rate and a ratio adju~t~ect to ensure that the sum of the weights and the complete count total population figure would agree.

The ratio estimation procedure for housing units was essentially the same as that for persons. The major difference was that the occupied housing unit ratio estimation procedure was done in two stages and the vacant housing unit ratio estimation procedure was done in one stage. The first stage for occupied housing units employed sixteen household type categories and the second stage could potentially use 190 tenure-race-Spanish origin-value/rent groups. For vacant housing units three groups were utilized. The stages for the ratio esii- mation for housing units were as follows:

199

Occupied Housing Units

Stage I - Type of Household

Group

1

2

3

4

5

6-10

11

12-16

GIYXlp

9-16

Housing Units With A Family With Own Children Under 18




5 to 7 persons in housing unit

&or-more persons in housing unit

Housing Units With A Family Without Own Children U?dcr 15

2 persons in housing unit through 8-or-mnre persons in housing unit

All Other Housing Units

1 person in housing unit

2 persons in housing unit through 8-or-:lore persons in housing unit

stage II - Tenure/Race and Origin of Household-rJ Value or RFnt ---

Owner White race (Householder)

Persons of Spanish Origin (Aouseholder)

Value of House

$ 0 - $ 9,999

$ 10,000 - s 19,999

$ 20,0@0 - s 24,999

$ 25,000 - S 49,999

$ 50,000 - $ 99,999

~100,000 - $149,999

$150,000 or more

Other Owners

Persons Not of Spanish Origin Same value categories as groups 1 to 8

200

ii-32

33-48

49-64

65-80

81

82

a3

84

85

86

87

88

69

90

91

92-102

103-124

125.146

147-168

Black Race Same value - Spanish origin categories as

groups 1 to 16

Asian and Pacific Islander Race Same value - Spanish origin categories as

groups 1 to 16

Indian (American) 01‘ Eskimo or Aleut Race Same value - Spanish origin categories as

groups 1 to 16

Other Race (includes those races not listed above) Same value - Spanish origin categories as

groups 1 to 16

Renter White Race

Persons of Spanish origin

Rent Categories

$ l-S59

s 60 - $ 99

$100 - $149

8150 - $199

$200 - 5249

$250 - 3299

$300 - 8399

$400 - 5499 _

$500 or more

Other Renter

No Cash Rent

Persons Not of Spanish Origin Same rent categories as groups 81 to 91

Black Race Same rent - Spanish origin categories as

groups 81 to 102

Asian and Pacific Islander Race Same rent - Spanish origin categories as

groups 81 to 102

American Indian or Eskimo or Aleut Race Same rent - Spanish origin categories as

groups 81 to 102

201

Other Race (includes those not listed above) 169-190 Same rent - Spanish origin categories as

groups 81 to 102

Vacant housing units

1 Vacant for Rent

2 Vacant for Sale

2 Other Vacant

The estimates produced by this procedure realize some of the gains in sampling efficiency that would have resulted if the population had been stratified into the ratio estimation groups before sampling. and t:!? sampling rate had been applied independently to each group. The z?! effect is a r-lxction in hoth the standard error and the possible bias of most estiimated characteristics to levels helow what jiould have resulted from simp_y 1 using the initial (unadjusteb) weight. -4 br-product of this estimation procedure is that the estimates fro!n tii sample will, for the most part, he consistent with the corrplete count figures for the population and housing xnit groups used in the estimation procedure.

Control of Nonsampling Error

As mentioned above, nonsampling error is present in both sample and complete count data. If left unchecked, this error could introduce seriolus bias into the data, the variability of which could i?crease dramatically Over that which would result purely from sampling. While it is impossible to completely eliminate nonsampling error from an operation as large and complex as the 1980 census, the Bureau of the Census attempted to control the sources of such error during the collection and processing operations. The primary sources of nonsampling error and the programs instituted for control of this error are described below. The success of these programs, however-, was contingent upon how well the instructions were actually carried ,out during the census. To the extent possible, both the effects of these programs and the amount of error remaining after their application will be evaluated.

Unflercoverage. It is possible for some households or persons to be entirely missed by the census. This undercoverage of persons and horxing units can introduce biases into the data. Several extensive programs were developed to focus on this important problem.

. The Postal Service reviewed mailing lists and reported housing unit addresses which were missing, undeliverable, or duplicated in the listings.

. The purchased commercial railing list was updated and corrected by a complete field review of the list of housing units during a precanvass operation.

202

. A record check was performed to reduce the undercoverage of individual persons in selected areas. Independent lists of persons, such as driver's license holders, were matched with the household rosters in the census listings. Persons not matched to the census rosters were followed up and added to the census counts if they were found to have been missed.

. A recheck of units initially classified as vacant or nonexistent WaSi utilized to further reduce t h e undercoverage of persons.

MOTtZ extensive discussions of programs developed to reduce undercoverage will be published as the analyses of those programs are completed.

Respondent and Enumerator Error. The person answering the questionnaire?r responding is the questions posed by an enumerator could serve as a source of rri‘~r by offering incorrect or incomplete information. To reduce this source of error, questioni; Kere phrased as clearly as possible based on precensus tests and detailed instructions for completing the questionnaire were provided to each household. In addition, respondents' answers were edited for completeness and consistency and followed up as necessary. For example, if labor force items were incomplete for a person 15 years or older, long form field edit procedures would recognize the situation and a followup attempt to obtain the informn-tion would be made.

The enumerator may misinterpret or otherwise incorrectly record information given by a respondent; ma:? fail to collect some of the information for a person or household; or may collect date for households that were not designated as part of the sample. To control these problems, the work Of enumerators was carefu'lly monitored. Field staff were prepared for their tasks by using sten- dardized training packages which included experience in using census materials. A sample of the households' interviewed by enumerators for nonresponse were reinterviewed to control for the possibility of darn for fabricated persons being suhmitted by enumerators. Also, the estimation procedure was designed to control for biases that ,xould result from the collection of data from households not designated for the sample.

Processing Error. The many phases involved in processing the census data represent potential sources for the introduction of nonsampling el-rol-. The processing of the census questionnaires includes the field editing, followup, and transmittal of completed questionnaires; the manual coding of write-in responses; and the electronic data processing. The various field, coding and computer operations undergo a number of quality'control checks to insure their accurate application.

Nonresponse. Nonresponse to particular questions on the census questionnaire allows for the introduction of bias into the data,

203

since the characteristics of the nonrespondents have not been observed and may differ from those reported by respondents. 9s a result, any allocation procedure using respondent data may not completely reflect this difference either at the elemental level (individual, person or housing unit) nor on the average. Some protection against the introduction of large biases is afforded by minimizing non-response. In the census, nonresponse was substantially reduced dxring the field operations by the various edit and followup operations aimed at obtaining a response for every question. Characteristics for the nonresponses remaining after this operation were allocated by the computer using reported data for a person or housing unit with similar characteristics.

Editing of Unacceptable Data. -

The objective of the processing operation is to produce a set of statistics that describes the population as accurately and clearly as possible. To meet this ob,jective, certain unacceptable entries :verv edited.

In the field, questionnaires Yere reviewed for omissions and cer:sin inconsistencies hy a census clerk or an enumerator and, if necessary, a followup was made to obtain necessary information. In addition, a similar review was performed by hand only when it could not be done effectively by machine.

As one of the first steps in editin&, the configuraiion of marks o;. the questionnaire column was scanned electronically to determine whether it contained information for a person or merely spuriolzs marks. If the column contained entries for at least two of the basic characteristics (relationship, sex, race, age, marital status, Spanish origin), the inference was made that the marks represent-d a person. In cases in which two or more basic characteristics were available for only a portion of the people in the unit, other information on the questionnaire provided by an enumerator 'xas us,?d to determine the total number of persons. Names were not used as a criterion of the presence of a person.because the electronic scaznin:: did -not distinguish any entry in the name space.

If any characteristics for a perso! were still missing when the questionnaire reached the central processing o~ffices, they were supplied hy allocation. Allocations, or assignments of acceptable codes in place of unacceptable entries were needed most often when an entry for a given item was lacking or when the information reported for a person on that item was inconsistent with other information for the person. As in previous censuses, the general procedure for changing unacceptable entries was that *as consistent with

to assign an entry for a person entries for other persons with similar

characteristics. Thus, a person who was reported as a 20-year-old SOTI of the householder, hut for whom marital status was not repcrteti, was assigned the same marital status 3s that of the last son processed in the same age group. The assignment of acceptable codes in place of blanks or unacceptable entries, it is believed, enhances the usefulness of the data.

ZO‘i

The editing process also includes another type of correction; namely, the assignment of a full set of characteristics for a person. When there was an indication that a housing unit was occupied but the questionnaire contained no information for all or most of the people, although persons were known to be present, a previously processed household -#as selected as a substitute and the full set of characteristics for each substitute person was duplicated. These duplications fall into two classes: (1) "persons substituted for mechanical failure," e.g., when the questionnaire page 0 II which persons were listed was not properly microfilmed, and (2) "persons substituted for noninterview," e.g., when a housing unit was indicated as occupied but the occupants were not listed on the questionnaire.

Specific tolerances were established for the number of computer allocations and substitutions that would be permitted. If the number of corrections ivas beyond tolerance, the questionnaires in :vhich the errors occurred were clerically reviewed. If it was found that the errOl-S resulted from damaged questionnaires, from improper microfilming, from faulty reading by FOSDIC of undamaged questionnaires, or from other types of machine failure, the questionnaires were reprocessed.

205

Table B -- Bnadjusted Standard Error fr Percentage Points for Estimated Percentages (Based on a l-fn-6 Simple Random Sample)

--. -- - l

Estimated Percent

Base of Percentage* .~ .-

500 750 1,000 1,500 2,500 5,000 7,500 10,000 25,000 50,000 100,000 250,000 500 1 000

2 or 98 1.4 1.1 1.0 .B .6 .4 .4 .3 .2 .l .l .I .l

5 or 95 1 2.2 1.8 1.5 1.3 1.0 .7 .6 .5 .3 .2 .2 .l .l

10 or 90 3.0 2.4 2.1 1.7 1.3 .9 .7 .4 .3 .l 15 or 85 3.6 2.9 2.5 2.1 1.6 1.1

:r: .!i

1: ::

20 or 80 3.3 2.3

25 or 75 ::i 3.5 ::! 2.5 ::t

1.3 1.0 :i

1.4 1.1 1.0 :E

:: .2 ::

.4 :i 30 or 70 4.6 3.7 2.6 1.0 :; :: 35 or 65 4.8 3.9 i::

50 5.0 4.0 3.5 ::t x

2:2 :-: 1:6

::: 1.1 :t 1: :: .2 .2 A.3 1.1 .7 .5 .4 .2 .2

5 I

l For a percentage and/or base of percentage not shown in the table, the formula given below may be used to calculate the standard error.

se(i) = \1 ; ;(loo-;)

tl= Base of Estimated Percentage

6 = Estlmated Percentage

Table C. Standard Error Adjustment Factors

Characteristics

Place of Birth

Language Usage and Ability to Speak English

Means of Trans- portation to Work

School Enroll- ment

Years of School Completed

Veteran Status and Period of Service

Work Disability Status

Transportation Disability Status

Percent of Units in Sample Y F--P-

--

r/ For person and family characteristics, derive this figure from the appropriate STF 3 data by dividing the unweighted sample count of persons (table 2) by the loo-percent count of persons (table 3). For household and housing unit characteristics, derive this figure by dividing the unweighted sample count of housing units (table 5) by the loo-percent count of housing units (table 6).

z/ The adjustment factor for this characteristic was calculated as if about one half of the questionnaires had been coded. Thus, the factor will provide a conservative estimate of the standard error in areas where more than one half of the questionnaires were, in fact, coded.

GLOSSARY

.-

The following definitions pertain to data items included in STF 3 ani were taken from the 1980 Census Users' Guide.

ABILITY E SPEAK ENGLISH. See LANGUAGE USAGE AND ABILITY TO SPEAK ENGLISH

ACCESS. See HOUSING UNIT

ACREAGE OF PROPERTY. - See FARM RESIDENCE; RENT, CONTRACT; VALUE

4GE. Age at last %%th to April 1,

birthday, i.e., number of completed years from 1980, based on replies to a question oh month a n,d

Year of birth. This item was asked on a complete-count basis.

Because of the central Importance of the data on age. the question contains redundancies. The age entry on the basic tape record is derived from the FOSDIC entries of quarter and year of birth. For those persons who do not provide this information but who do provide "age at last birthday," the census enumerator or clerk uses an equivalency table to mark the appropriate FOSDIC circles. The item "age at last birthday" is used only secondarily because of the tendency of some people, in reporting their ages, to round off to "0" or "5" (and to report even rather than odd numbers). The write-in entries of month and year of birth are requested because some people have difficulty with (and therefore skip) the FOSDIC marking system in this question.

Age is tabulated by single years of at3e and by many different ;rCXlpi*gS, such as 5-year age groups. Sasic records identify single years (and quarter years on sample basic records) to 112. Public-use tnicrodata samples show single years and quarters to 99, and 100 Vesrs or more.

Median s. Calculated as the value which divides the age distribution into two equal parts, one-half the cases falling below this value, one-half above. Median age is computed from the age intervals or groupings shown in the particular tabulation, and thus a median based on a less detailed distribution may differ slightly from a corresponding median for the same population based on a more detailed distribution. If the median falls in the terminal category, e.g., 75 years and over, the median is shown as the initial age of the category uith a plus sign, e.g., 75+.

Limitations: In previous censuses, undercoverage of the population has been associated with age. Young adults, especially Black males) Wiel-!Z missed at a higher rate than other segments of the popul:ation. The same is true of centenarians.

~~~st~~i~iaF;ce~ability: Age data have been collected in each . Counts in 1970 and 1980 for persons 100 years old

and over were substantially overstated.

See also: AGE OF HOUSEHOLDER --

AGE AT FIRST MARRIAGE. Persons 15 years old and over who had ever been married were asked the month and year of their first marriage. This item was asked on a sample basis.

Age at first marriage is computed as the difference between the date of first marriage and the date of birth. However, since both dates are recorded on census basic records only in terms of quarters, there is some imprecision in the result. For instance, a person born in September 1950 and married in July 1970 would have been recorded as born and married in the third quarter and aged 20 at first marriage, even though the person was actually only 19 at the time.

Public-use microdata include the quarter of marriage, as well as age in whole and quarter years, so that age at first marriage can be figured in terms of quarter years, and so that the interval between marriage and the birth of children can be calculated.

Historical comparability: Obtained in each census since 1940.

AGE OF HOUSEHOLDER. Derived from the age responses for the househxders. (See the definition of householder under Household Relationship.) Age and household relationship were determined on a complete-count basis.

The most frequent applications of age of householder in 1980 tabulations involve only two categories: under 65 years old and 65 years and over. More detailed categories appear among the housing tabulations, for example: less than 25 years, 25 to 29, 30 to 34, 35 to 44, 45 to 59, 60 to 64, and 65 years and over. Age of householder is also derivable from age tabulations cross-classified by household relationship (STF 2). Age of householder is derivable from basic records in single years, 15 to 112. Public-use microdata samples also show single years to 99, but group together householders 100 years and over.

Historical comparability: In 1970 and previous censuses, Age of Head was tabulated instead of Age of Householder (see Household Relationship).

AGE OF STRUCTURE. See YEAR STRUCTURE BUILT --

AG HOMES FOR. See GROUP QUARTERS TYPE --

AIR CONDITIONIXG. .Presence of equipment with a refrigeration unit to cool air in occupied and vacant housing units. Evaporative coolers and fans or blowers not connected to a refrigerating aDparatUS are excluded, but refrigerating heat pumps are included. This item WZlS

asked on a sample basis.

210

Central svstem. A central installation designed to deliver cooled air to a number of rooms in a house or apartment. The system m*Y have individual room controls. In .a* apartment building, a central system m*Y coo1 a11 apartments in the building, each apartment wf have its own central system, or there may be several systems, each providing central air conditioning for a group of apartments.

Individual room unit. An individual air conditioner which is installed inGin= or a" outside wall, and is generally intended to deliver cooled air to the room in which it is located, although it may sometimes be used to cool more than One

room.

None. No air conditioning present.

Historical comparability: Similar d*t* have been collected since 1960.

ALASK NATIVE VILLAGES. Alaska Native villages constitute tribes, bands, clans, groups, villages, communities, or associstions in Alaska which were listed in sections 11 and 16 of the Alaska Native Claims Settlement Act, public Law 92-203, or which met the requirements of the Act and which the Secretary of Interior determined were, on the 1970 census enumeration date (April 1). composed of 25 or more Alaska Natives. This list was reviewed and updated for the Census Bureau by the State of Alaska, prior to the 1980 census, to specifically identify only those entities that were legally recognized as Alaska nlative villages.

Oats smmaries for Alaska Native villages are included in STF's 29. 2C, 48, *nd 4c, and reports PCBO-1-B and -c and HCHO-1-A and -B. Population and housing counts for Alaska Native villages are scheduled to be included in a supplementary report (PCSO-Sl series). I" addition, a population subject report (PC30-2 series) featuring additional data on Alaska Native villages is also nlanned. Oats for each Alaska Xative village can be derived from :lAXF, STF 11, and STF 3A by identifying the ED or ED's that constitute the village, and summarizing the data should multiple ED's be involved. ( \IOTE : Eklutna Native Village is in a blocked area; therefore, data can be derived from block group (BG.) summaries for the village.) Each Alaska Native village has been assigned a unique 3-digit code by the Bureau which appears in the reservation code field.

Alaska Native villages are identified on the Alaska subdivision maps in the PC80-1-B and HC80-1-A reports. 4laska Native villages are also shown on Yetropolitan Hap Series, place, and countv maps. It should be noted that Alaska Native villages do not have boundaries that are defined by legal descriptions, and therefore tne boundaries shown on the census maps are only indicative of the approxtinate extent of a village; for those that correspond to a city or census designated place, the limits of suc!l a place *re cons trued t J coincide with the extent of the Alaska ?Jative village.

211

Bistorical comparability: Data *re not available from previous censuses for :Alaska Native villages. Some cities and "unincorporated places" (referred to as "census designated places" in 1980) which were identified in the 1970 census may correspond to 1980 Alaska Uative villages.

4LEUT POPULATION. See RACE

ALIE?IS. See CITIZENSHIP

AXERICAN INDIAN LANGUAGE USAGE. See LANGUAGE SPOKEN AT HOME

4YEQICAnl INDIAN POPULATION. See RACE

XIERIC4V IXDIAY RESERV4TIONS. American Indian reservations are areas with boundaries established by treaty, statute, and/or executive or court ,order. The reservations ani their boundaries were Llentified for the Census Bureau by the Bureau of Indian Affairs (BIA) and St:ite governments. Federal and State reservations are located in 33 States and may cross State, county, minor civil division/census county division, and place boundaries. In tabulations for reservations, tribal trust lands outside the boundaries of reservations (off- reservation) *re not included as part of the reservations (see below).

Prelimin*ry evaluation of the 1980 census data suggest that counts for a few reservations may be sub.ject to certain limitations or "onsnmpling' errors. Although the various field and computer operations undergo a "umber of quality cant rol checks to ensure accuracy of the data, available evidence indicates that nonsampling errors are substantial for a small number of reservations. FCII- example ( a few reservations have a relatively high substitution rnte. A listing of reservations where characteristics for 20 percent or more of the persons or housing units in the 1980 Census were substituted are

Data." - shown in PCYO-1-3 reports, Appendix D, "hccur*cy of

the (For a fuller discussion of nonsanpling errors, see the Users' Guiie. chapter 8, "Data Limitntions," report appendixes on "Accuracy of the Data, " or the "Technical Information" section in tape technical documentation.) Additioilal evaluation of the counts for reservations will be done when more information is available and a fuller explanation will be presented in 1980 census special reports on the 4merican Indian population.

Each American Indian reservation was assigned a unique 3-digit code by the Bureau. Enumeration districts (ED's) and block groups (9G’s) which are inside boundaries of reservations are designated with an "‘4" in the ED prefix field in tape files.

Data summaries for American Indian reservations are included in SCF's 29, 2C, 49, and 4C, and reports PCBO-1-B and -C and QC80-1-A and -3. Population **d housing counts for reservations are scheduled to be incl;lded in * supplementary report (X80-Sl series). 4130, a population subject report (X80-2 series) presenting additional data on Agmerican Indian reservations is also planned. Summaries on tape

212

and in PC80-1-B and HC80-1-A show data not only for the reservation totals) but also for parts of reservations that cross State or county boundaries. Reservation data can also be derived from HARF, STF 1A. and STF 3A by the addition of component ED or ffi summaries. vaps outlining reservation boundaries are included in the PC80-1-B and HC80-1-A reports. Reservation boundaries are also shown 'on detailed 'metropolitan Hap Series, place, and county maps.

Historical comparability: Data on 115 American Indian reservations were published in the 1970 census subject report, American Indians, PC(2)-1F. However, 1980 data may not be comparable to 1970 inforaation because of boundary changes, improvements in geographic identification, new enumeration techniques, and other procedural changes made for the 1980 census.

A‘IERICAN INDIAN SUBRESERVATION AREAS. ~- Entities known as "areas," "chapters," "districts," 'segments," or "communities," are assnciat?d with some 4merican Indian reservations and were identified for the Census Blxeau for the 1980 census by tribal governments or the Bureau of Indian Affairs. In a few cases, such subreservation areas extend beyond reservation boundaries or are located entirely outside the reservation (off-reservation). American Indian subreservations recognized for the 1980 census are identified by a unique 3-digit code.

DaTa for subreservations are not summarized in regular census tabulations; however, subreservation data can be obtained from the Census bureau on a cost-reimbursable basis fron special tabulations. (For further information regarding subreservation areas, please write Population Division, Racial Statistics Branch, 8ureau of the Census, Washington, O.C. 20233.)

Historical comparability: American Indian subreservation areas were midexfied separately in previous censuses.

AyIERIC4N IXDIAN TRIBAL TRUST LANDS. Some American I?disn reservations have tribal trust lands in the vicinity of the reservation. The Bureau of Indian Affairs identified these areas f9r the 1980 census. Tribal t,rust lands are located outside the reservation boundary (off-reservation) and are associated with a specific reservation.

Population and housing counts for tribal trust lands are scheduled to be included in a supplementary report (PC8041 series). Additional information for these areas may be included in special reports or llnpublished tabulations. Also, such data can be obtained from the census Bureau on a cost-reimbursable basis Prom special tabulations. (For further information regarding the geographv for tribal trust lands, please write to Population Division, Racial Statistics Branch, Bureau of the Census, Washington, D.C. 20233.)

Mistorical comparabilitv: Tribal trust lands (off-reservation) :qvre not-cdentified in previous censuses.

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AXCESTIIY. A person's self-identified nationality group,

origin, descent, lineage, or country in which the persoo or the person's

parents or ancestors were born before their arrival in the United States. This item was asked on a sample basis.

This question was asked of persons regardless of how many 2enerations their ancestors had been in this country. Persons were asked to write in the.name of the group with which they most closely identify. Those who thought of themselves as having more than one Origin were

asked to write in their multiple ancestry, e.g., German-Irish. Instructions specified that religious 2roups were not to be reported as ancestry groups.

The open-ended write-in item on axes try was coded in census processing offices into a numeric representation using a code list containing over 400 categories. If a response was in terms of a dual ancestry, e.g., Irish-English, the person was assi2ned two co$des, in this case one for Irish and one for English. Census basic record and public-use microdata files represent over 400 x 400 possible combinations. Selected three-ancestry combinations expected to be frequently reported were also coded, but, otherwise, whenever three 0* more ancestries are entered in a single response, only the first two were coded. Persons indicating two or more ancestries are shown in tabulations under "multiple ancestry" and !nay be counted more than once in tabulations of selected multiple-ancestry groups.

uos t tabulations presenting counts of persons by ancestry show (a) the following single-ancestry 2roups: Dutch, P,nglish, French, German, Greek, Hungarian, Irish, Italian, 9orwegian. Polish, Portuguese, Russian, (selected categories), Scottish, Swedish, Ukrainian, and other; (b) the number of persons reporting multiple ancestry, and tne following selected multiple-ancestry groups: Fnglish and Other group(s), French and other group(s), German and other group(s), Irish and other group(s), Italian and other group(s), and Polish and other group(s); 2nd (c) ancestry not specified. Ancestry not specified incllldes nonresponses, also shown separately, as ,~ell as responsss indicating religious 2roups, and unclassifiable responses. Only STF 4 presents aore categories of ancestry than this at the State level or below.

Tabulations in STF 4 which present characteristics of specific ancestry groups at the State level or below present data for six single-ancestry groups--English, French, German, Irish, Italian, and Polish--and for four additional groups which vary from State to State. These four variable groups are the largest single- and/or multiple-ancestry 2roups in that State exclusive of (a) the six groups cited above, (b) all groups listed separately in the race and Spanish-origin questions, and (c) the category "American."

Historical comparability: _--- The ancestry question, asked for the first time in 1980, in large part replaces a 1970 question on country 0 f birth of parents, which together with the question on place of birtil of the individual, identified the two generations cOmpriSin2 persons of foreign stock. There is no direct comparability between 1380

214

ancestry data (which refers to ancestry for an unlimited number of generations) and 1970 data on country of origin of persons of forei,gn Stock.

See aho: -- CITIZENSHIP; IMMIGRATION, YEAR OF; LANGUAGE STOKEN AT 3OME AND ABILITY TO SPEAK ENGLISH; NATIVITY AND PLACE OF BIRTH

APARTMENTS.. See UNITS IN STRUCTURE

ARMED FORCES, PERSONS IN. See LABOR FORCE STATUS -

AR?lED FORCES STATUS. See LABOR FORCE STATUS

ASIAN AND PACIFIC ISLANDER POPULATION. See RACE

ASKING PRICE. See VALUE -- -

4SKING RENT. See RENT, CONTRACT

AUTOMOBILES AVAILABLE. The number of passenger cars available at home for the use of the members of the household, ascertained for occupied housing units. The term automobile includes station wagons, but excludes vans, pickups, or larger trucks. Cars rented or leased for one .nnonth or more, company cars, and police and government cxrs are also included if kept at home and used for nonbusiness purposes. (Household members includes lodgers or other nonrelatives living in tne unit.) Dismantled or dilapidated cars or immobile cars used only as a source of power for some piece of machinery are excluded from this category. The statistics do not measure the number of automobiles privately owned or the number of households owning automobiles. This item was asked on a sample basis.

Limitations: A test survey taken before the census showed that the percent of households with three or more cars was understated.

Historical comparpbility: Similar data have been collected since 1963. Earlier counts, however, excluded taxicabs.

See also: TRANSPORTATION TO WORK, MEANS OF; TRUCKS OR VANS AVAILABLE, VEHICLES AVAILABLE; VEHICLE OCCUPANCY

BARRIO. See PUERTO RICO AND OUTLYING AREAS

BATYHOOMS. The presence of bathroom facilities, ascertained for all occupied and vacant housing units. This question was asked on a sample basis.

Complete bathroom. A room with a flush toilet, batht.Jb or shower, and a wash basin with piped hot and cold water for the exclusive use of the occupants of the housing uniti (Although the instructions on the questionnaire do not specify that 9 complete bathroom must have hot water, this requirement ;vas applied during the processing of the data in the edit coabining the items on complete bathrooms and complete plumbing facilities

215

for the exclusive use of the household.) The equipment must be inside the unit being enumerated.

No bathroom Kcilities,

z only a half-bathroom. A unit with no bat;;;;; only a half bathroom, or bathroom facilities

are also for the use of the occupants of other housing units. A half bathroom has at least a flush toilet or a bathtub or shower for exclusive use but not all the facilities for a complete bathroom.

Historical comparability: Data on number of bathrooms have been collected since 1960. The category "2 l/2 or 3 bathrooms" W8.S

included in 1970 but dropped for 1980.

See also: PLUMBING FACILITIES --

BEDROOMS. The number of -- bedrooms, ascertained for occupied and vacant units, Bedrooms are rooms used mainly for sleeping, even if also used for other Purposes. Rooms reserved for sleeping such as guest rooms, even though used infrequently, are counted as bedrooms. 0* the other hand, rooms used mainly for other purposes, even though used also for sleeping, such as a living room with a sofa bed, are not considered bedrooms. A housing unit consisting of only one room, such as a one-room efficiency apartment, is classif ied, 'a' definition, as having no bedroom. This item was asked on a sample basis.

Historical comparability: Similar data have been collected since 1960.

BIKTX, PLACE OF. -- See NATIVITY AND PLACE OF BIRTH; STATE CF BI2T!l

BLACK POPULATION. See RACF

SLocy. Yormally a rectangular piece of land. bounded by four streets. Vowever, a block may also be irregular in shape or bounded by railroad, tracks, streams, or other features. Blocks do not cross the boundaries of counties, census tracts, or block numbering alVS8.S

(BNA's). They may CI-oss place boundariss and the boundaries of minor civil divisions (NCD's). When blocks cross place boundaries and, in 20 States (see figure 5, column 3), when they cross WCD boundaries, separate statistical summaries are presented for each part of the block.

Census blocks are normally compact units, but there are important exceptions. For example, in some suburbs, houses cluster around cul- de-sacs. In these areas a census block may be fairly large since only those features that serve as the perimeter of an enclosed area are treated as block boundaries. Also, in those rural areas where they are numbered, blocks may include many square miles, depending on the frequency of intersections of roads, rivers, mountain ridges, or other physical features.

216

Census data are tabulated by block in all urbanized areas (UA's) and generally for some territory extending beyond the UA boundaries. Data also are tabulated by block in incorporated places with 10,000 or more inhabitants outside UA's, and in other areas which contracted svith the Census Bureau for the preparation of block statistics. Places outsilie of UA's are included in the block statistics progrz~" if they met the 10,000 population criterion in the 1970 census, in official Bureau estimates through 1976, or in a special census taken on or before December 31, 1977. Block coverage for qualifying places is within boundaries as of January 1, 1980. Five States contracted for the preparation of block statistics for all of their territory, both urban and rural. not already in the block statistics program. These States are Georgia, Mississippi. New York, Rhode Island, and Virginia.

A block is identified by a 3-digit code which is unique within censlls tract COP, where trscts do not exist, BYA. Since separat? sum~nari's 1I-s provided for the parts of a block split by a place boundary or, in 20 States, an WD boundary, tape users often will need to specifv the place or WD code, along with other codes, to retrieve data for a block. Blocks are defined on detailed census maps: rdetropolitan Map Series (MM), Vicinity Map Series (VW), place and county maps. The extent of block statistics coverage is reflected on maps by the presence of the 3-digit block number and the absence of ED boundaries and numbers.

On census maps, when a block boundary ignores a minor physical feature, such as a railroad track, a "fishhook" ( + ) across the feature indicates that the block includes area on both sides of the feature. Alternatively, the separate parts of such a block mav tlav.5 identical block numbers, each followed by an asterisk;

The maps used for enumeration activities were. of necessity, obtain4 several years prior to the census and therefore do not reflect recently constructed streets. Only those featlr3s shown on t?e :naPs can serve as block boundaries.

Statistics were collected for approxima+ly 2.6 million blocks in the 1980 census. Block statistics are included in PHCRO-1 Ylock Statistics microfiche series and in file B of Summary Tape File 1 (STF 1B).

Historical comparability: In 19713, block statistics were prepared for UA's (and some territory beyond) located in SMSA's existing at the time of the census, as well as for contract areas. Unlike 1980, they were not prepared for places of 10,000 population or more

outside UA's unless done under contract, nor for UA's in not-yet- defined SMSA's.

Some blocks defined for 1970 will have nev boundaries in 1980, primarily those on the edges of iii’s and other areas of ne'u dwelopcnent where the street patterns have changed. To help ths user notice a change wherever a block has been redefined by splitting Or other adjustment, the 1970 block number xi11 generally not be.

218

reused. Where blocks were recognized for the 1970 census. their boundaries and numbers generally will be the same in 1930, except for a few areas where blocks were renumbered hy local GBF/DIdE-File coordinating agencies in order to define more desirable block group*.

BLOCK GROUP (BG). A combination of numbered census blocks that is a -- subdivision of a census tract or block numbering area (BNA) and i* defined in all area* for which block statistics are prepared. (In areas where blocks are not numbered, ED's are used instead of BG's.)

BG's are not outlined on census maps, but are defined as that set of numbered blocks sharing the same first digit within a census tract or BNA. For example, Block Group "3" within a particular censu* tract would include any blocks numbered between 301 and 399. In most cases, the numbering would involve substantially fewer than 50 blocks, since gaps are occasionally left in the numbering; e.g. ( Block 312 might be followed by Block 316.

BG's are defined within census tract or 3NA. They may cross, and be split by, the boundaries of minor civil divisions (UCD's) or census county divisions (CCD's), places, congressional districts. urbanized areas, and Indian reservations. When this occurs, statistical summaries (data records) are provided for each component or part. To avoid mistaking a component summary for a complete BG summary, users should carefully study census maps to note any BG's split by place, UCD or CCD, urbanized area, or Indian reservation boundaries. Congressional district (CD) boundaries are not shown on census maps, so the maps will not be of use in detecting X’S SPl it by CD boundaries.

3G summaries observe boundaries of Some areas (specifically. CCD's and, in 10 States, UCD's) which are ignored in summarizing datz for the block statistics presentations in reports and on tape. 1s a result. it occasionally will be necessary to add BG components together to match the sum 'of blocks in the same hundreds series.

Statistics ,will he prepared for almost 200,000 3G’s. 3G dat%, together with data for ED's, s.ppear on STF's 1A and 3.4, and in any corresponding microfiche. There are no printed data for BG's.

Historical comparability: In areas where BG's were tabulated in, 1970, many 1980 BG's will he the same a* their 1970 counterparts, with exceptions occurring primarily in areas where tract houndaries have changed or where substantial development has taken place. Also. 3G parts, created when BG's are split by the boundaries of higher level areas, will change if such boundaries have changed.

Many *Peas with BG's in 1980 had data reported by ED's in 1970. a change occasioned in part by the expansion of the block statistics program, rend in part because ED's were used for tabulation purposes in 1970 instead of 3G's in some block-numbered a*?%S. Yhero BG ' s have replaced ED's, there will be little comparability between 1370 ED's and 1980 BG's.

219

BLOCK NUMBERING AREA (BNn). An area defined for the purpose of sing and numberin% blocks in block-numbered RP?BS ,where censas tral2ts have not been defined--typically, in nonSXSA places of 10,000 or :more population and in contract block areas. BNA's do not cross CO"" ty boundaries. They are identified by census tract-type numbers ranging from 9901.00 to 9989.99 which are unique within a county. while BNA numbers are similar to census tract numbers, RNA's are not census tracts and are not included in STF's 2 or 4.

3NA’s Statis microf

may be split by the boundaries of places, MCD's, and CCD's. tical summaries appear in STF 1B and PHCXO-1 Block Statistics iche series for the component parts of 0NA's created when SNA's

are split by the boundaries of places and, in 20 States, MCD's. (See figure 5, column 3.) Such component summaries appear in STF 1A and 3A when BNA's are split by the boundaries of CCD's in 20 States (see figure 5, column 1) , and ;ICD's in 10 other States and Puerto Rico.

Historical comparability: While BNA's ~-- were also used in previsus censuses, any historical comparability is generally coincidental.

BOARDED-UP STATUS. Determined for vacant units intended for year- rbund use. Boarded-up units have windows and doors covered by wood, metal, or similar materials to protect the interior and prevent entry. A single-unit structure or a unit(s) in a multi-unit struct:lre mav be boarded-up in this way. This item was ascertained on a complete-count basis.

Historical comparability: This item is new for 1980.

304RDER. See ROUSEHOLD RELATIONSHIP

30ROUGH (in Alaska). See COUNTY

3USIVESS, TYPE OF. See INDUSTRY --

C.A.9 COhf!,lUTING. - See TRAvSPORTATION TO WORK, UIEANS OF

CAt?PCOLING. See TRANSPORTATION T3 WORK, MEANS OF; VEHICLE 0CCUPIz:u'CY

CARS AVAILABLE. See AUTOMOBILES AVAILABLE

CENSUS AREA lin Alaska). See COUNTY

cc:;;:; COUNTY DIVISION (cco,. A statistical subdivision of a , roughly comparable to a minor civil division (UCD). CCD's

are defined in 20 States (see figure 5, column 1) which do not have 'ICD's suitable for reporting census statistics (i.e., the XCD's have lost their original significance, are very small in population, have frequent boundary changes, and/or have indefinite boundaries). CCD'S are established cooperatively bv the Census bureau and both State anl local zovsrnment authorities. They are generally defined by bouniiarv features that sel~iom change and can be easilv located, such a* rsads, rivers, and powerlines.

220

CC0 boundaries 8re represented on detailed census maas, such BS ?(\IS/V!IS sheets and county maps. In addition, CCD outlines appear at 9 sm.11 scale on maps published in several 1980 reports. CCD's. in alphabetic sequence, are assigned unique, incremental 3-digit numeric codes within counties.

Statistics for about 5,500 CCD's appear in STF's lA, 20, 3A, and (under tentative plans) 4B. and in PCBO-1-A and -B and HCSO-1-A reports.

Historical comparability: In 1980, CCD's are defined in one fewer State than in 1970--North Dakota returned to the use of its MCD's (townships). In the past, cities with 10,000 or more inhnhitants generally were defined as separate CCD's. Yhen these cities annexed territory, CCD boundaries also had to be adjusted. For 1980, *any of these CCD boundaries were revised to conform with censils tract boundaries where tracts exist, and peraanent physics1 features elsewhere, in an attempt to minimize futilre CCD boundary adjustnents. CCD's which changed boundaries between 1970 and 1980 are noted in footnotes to table 4 of the PC80-1-A reports for States with CCD's.

CENSUS SUBAREA. A statistical subdivision of a "census area" or borough (county equivalent) in Alaska. Census subareas take the place of minor civil divisions (WCD's) or census county divisions (CCD's).

Historical comparability:' In 1970, Alaska county equivalents were called "divisions," and some were subdivided further. Some of the census subareas used in the 1980 census approximate the 1970 divisions or their subdivisions.

CENSUS TRACT. 4 small statistical subdivision of * county. Tracts generally have stable boundaries. When census tracts 9re established, they are designed to be relatively homogeneous areas with respect to population characteristics, economic stat-lS, nnd living conditions. Tracts generallv have between 2,500 an3 8,000 residents. -411 standard metropolitan statistical *re*s (SYSa.'s) recognized for the 1980 census have census tracts. Most of these SMSA's are completely tracted, but seven S\ISA's newly created as a result of the 1980 census include outlying counties which are not tracted. In addition, an estimated 3,000 census tracts have been established in 221 counties outside SMSA's. Five States and the District of Columbia are entirely tracted: Connecticut, Delaware, Hawaii, New Jersey, and Rhode Island. In all, there are over 43,300 census tracts for the 1980 census (including 465 in Puerto Rico).

Census tract boundaries are established cooperatively by local Census Statistical Areas Committees and the Census 8ureau in accordance with guidelines that impose limitations on population size and specifv the need for visible boundaries. Geographic shape and *re* size of tracts are of relatively minor importance. Tract boundaries iare established with the intention of being nlaintained over a long ti.*e SO that statistical comparisons can be nade from census to census. Census tracts observe county lines and cover all of the territory

221

>vithin each trncted county. Within a county, tract boundaries may be split by other geographic boundaries.

Census tracts are identified hy a 4-digit basic code and may have a 2-digit suffix, e.g., fiO59.02. on tape, the decimal is implied. 'dany census tracts do not have a suffix. In such cases, tapes give the ?-digit code followed by two blanks. Leading zeros in a tract number (e.g., 0025.02) do not appear on the maps (e.g., 25.02).

Tract numbers are always unique within a county and, except for the New York SMSA, are also unique within an SMSA. All valid census tract numbers are in the range 0001 to 9899.99; a number between 9901 and 9989.99 denotes a block numbering area (BNA).

Census tract boundaries are shown on all detailed census maps, such as place and county maps. In addition, census tract outline maps are being created for each SXSA and each tracted county outside SMS4's. Tract outline maps show only those streets and physical features <which serve as census tract boundaries. In addition, the boundaries of places, WD's, CCD's, counties, and States appear on tract outline maps.

Census tract data are presented in STF's 14, lB, ZA, 3A, and 4A, and in PHCSO-2 Census Tracts reports. In STF 1.4 and 3A, tract data BP'3 Presented in hierarchical sequence within place within WD or CCD. In a case where a tract is split by place, MCD, or CCD boundaries. the tape files Will have summaries for each of its parts. To get data for the whole tract, it will be necessary to add up the components. In STP 18 the situation is similar except that XD boundaries are observed in only 20 States and Puerto Rico. (See figure 5, column 3.) MCD boundaries in the other 10 States with MCD'S and CCD houndaries in the remaining 20 States sre ignored. In the ;naj 0 r summaries for census tracts--those in STF 2A and 4A and in PXCXO-2 Census Tracts reports--tract summaries observe the boundaries Of places of 10,000 or more Population. Separate summaries Pr,>vile totals for split tracts.

Historical comparability: Census tracts are defined with an overall goal of census-to-census comparability. Some 1970 tracts il*ve been subdivided due to increased population, but the new tracts can be recombined by the user for comparison with 1970 tracts. This affects about 3 percent of all 1970 tracts. Other changes have included combinations of two or more small 1970 tracts (less than 1 percent of all 1970 tracts) and adjustments to t I-act boundaries where old boundary features have disappeared or better boundaries (e.g., freeways) have come into being. In * few areas, local Census Statistical Areas Committees undertook extensive redefinition Of census tracts.

Census Tracts reports, PHCSO-2. include 1970-1980 tract comparability -- tables. 1980 tracts which orere split, combined, or had boundary realignments affecting *Teas with 100 or .nore people ar.e listed, along with the 1970 tracts or parts of tracts to which they correspond. The list is presented both ways: 1970 trricts in terms

222

of 1980 counterparts, and 1980 tracts in terms of 1970 counterparts. Since the affected parts of individual tracts (e.g., individual blocks) are not specified, the comparability list essentially serves to draw attention to areas which should be studied further on 1980 and 1970 maps, preferably those which show detail by block.

Both the number of tracted counties and the number of census tracts increased by over 20 percent between 1970 and 1980. The reporting of data for split tracts has also increased. Whereas 1970 Census Tracts reports gave data for tract parts created when tracts were split by the boundaries of only those places with 25,000 or more population, 1980 reports observe boundaries of places as small as 10,000. 1980 STF's 2 and 4 present data for the components of split tracts, as well'as for whole tracts, whereas their 1970 counterparts did not provide separate summaries for the components of split tracts.

CENTRAL BUSIXESS DISTRICT (CBD). An area of high land valuation characterized by a high ConcentraFion of retail businesses, service businesses, #offices, theaters, and hotels, and by a high traffic flour. 4 CBD follows census tract boundaries, i.e., it consists of one or more whole census tracts. CBO's are identified only in central cities of SMSA's and other cities with a population of 50,000 or more, and are designated by local Census Statistical Areas Committees in consultation with the Census Bureau. qowever , some eligible cities have chosen not to participate in the CBD delineation program. CBD's generally do not extend beyond the boundaries of the city.

The CBD's now recognized were delineated for the 1977 economic censuses. The Bureau does not plan to prepare 1980 statistics for CBD's, but >lsers may derive data by aggregating data for component census tracts or smaller areas. Records for such areas in the Geograpnic Identification Code Scheme report and on machine-readable 1980 files include a CBD code when the area is in a CBD.

Historical comparability: At the time of the 1970 censils, CBD's Nere defined only in cites of 100,000 or more persons.

CENTRAL CITY. -I - See STANDARD METROPOLIT.4N STATISTICAL MEA; :JRB.~YII,ED AREA

CHILDREN. See HOUSEHOLD RELATIONSHIP

CHILDREN EVER BORN. -- Total live births born to women 15 years old and over regardless of marital status. Respondents were instructed to include children born to the woman before her present marriage, children no longer living, children born to the woman who were still living in the home, as well as children away from home. This item was asked on a sample basis.

Typical presentations include categories for lo-year age groups: 15 to 24, 25 to 34, 35 to 44, and separately for ever-married women 'ij well as for women regardless of marital status in the ,ags zrroup. Oats are Imost frequently presented in terms of the aggregate nu~'>er of children ever born to women in the specified category and in terms

223

"f the rate per 1000 women. For purposes of calculating the liggregate, the "pen-ended response category "12 or ,nore" is assigned 1 value of 13.

Limitations: These data are assumed to be less complete for illegitimate than for legitimate births. An evaluation stlldy after the 1970 cemus found that the census overstated the number of women with no children ever born, relative to the results of reinterviews, that is, more women had had children than 1970 census data indicated.

Historical comparability: A similar question has been asked in each census since 1890 except those in 1920 and 1930; however, prior to 1970 the question was restricted to women who had ever been married. Uost tabulations in 1970 were restricted to ever-married women.

CIVILI4U LAHOR FORCZ. See LAROR FORCE S'P4T'lS --

CLASS OF WORKER. ownershG of

Classification of workers according to the tvpe of the employing organization. Class of -worker is

generally tabulated for employed persons 16 years old and over, but it is also obtained for 15-year-olds and persons not currently employed who have worked since 1975. in which case the data refer to the person's most recent employer or business. The determination of class of worker is independent of occupation and industry classifications, but refers to the same job. These data we I-e collected on a sample basis.

Private a and salarv workers. Employees of a private company, business, or Gividual who work f"r wages, salary, commissions, tips, or payment in kind. 'Work for wages 0 r salary fr"m settlement houses, churches, uni"ns, and other nonprofit organizations is also included, as are those self-employed persons whose business is incorporated.

Employee of own corporation. Persons who own all "r most of - the stockTnaprivately held corporation and often consi:ier themselves to be self-employed. In fact, they IL-2 classified as private wage and salary workers.

Government workers. Persons who work for any governmental unit regardless of the activity of the particular agency. Employees of public schools, government-owned bus lines, government-owned electric power utilities, etc. are included, but employees of private organizations which do cant rat t work for government agencies are not included. Government workers include persons elected to paid offices. Persons on active duty in the Arnet5 Forces are assigned a Federal government class of worker code in the computer editing operation; however, the Bureau's class-of- vorker tabulations are limited to civilians. The "~"vernment wor'xers" cateqory is subdivided hY the level of government: Federal government workers, State government workers., and l<"C?l government workers.

224

In some states, teachers in elementary and secondary schools, who are in fact local government workers, tend to report themselves 3.S State government workers. The result is likely to be ;an overstatement of the number of State government workers.

Self-employed workers. Persons who work for profit or fees in their own unincorporated business, profession, or trade. or who operate a farm. Included here are the owner-operators of large stores and manufacturing establishments as well as small merchants, independent craftspersons and professionals, farmers, peddlers, and other persons who conduct enterprises on their own. Persons whose own business is incorporated are counted as employees of their corporation and are tabulated in the "private wage and salary workers" category.

Unpaid family workers. Persons who work without say on a fzr?l or iit a business operated by a pers.oQ to whom they are related b i- blood or marriage. These are usually the children or the spouse of the owner of a business or fara. 4bout one-half of the unpai'l family workers are farm laborers. Unpaid family workers ,who reported working fewer than 15 hours during the reference week were not considered to be "at work" in the determination of labor force status.

Historical comparability: Class-of-worker data have been collected since 1940. Level of government and "ellployee of own corporation" were not collected as separate categories before 1970. Since persons who reported being employees of their own corporations were counted in 1970 and 1980 as private wage and salary workers, there is probablv an overstatement of the self-employed category in figures for 1940 to 1960. 1970 and 1980 data are comparable.

C3LLEGE ATTENDANCE. See SCHOOL LEVEL; SCHOOL YEARS COMPLETED

COLLEGE DOR:0.IT:>RI3S. See ,GROIJP [QUARTERS TYPE

COLLEGE GRAD!JATE. See SCHOOL YEARS COMPLETED -

COLLEGE TEACHERS. See OCCUPATION

COMUERCIAL ESTABLISHMENT E MEDICAL OFFICE. See OWNER COSTS, SELECTSD MONTXLY; VALUE

COhl'.IUTING. See VEHICLE OCCUPANCY; TRANSPORT4TION TO WORK, WEANS OF

COHPLET!Z KITCHEN FACILITIES. See KITCHEN FACILITIES, COMPLETE

CONDITION OF HOUSING. See PLUMBING FACILITIES -

CONIXXlINILJM STATUS-. 4 type of ownership of an apnrtment in R building--or a house in a development--where ownership of cot?mon <areas is shared. This item was asked on a complete-count basis.

Condominium. Ownership that enables a person to own an apartment 3~ holise in a development of similar units and hold a common or joint-ownership in common ar?as, hallsways, entrances, elevators, etc. The owner has a deed to the individual unit, and, Very

likely, a mortgage on the unit, and also holds a common or joint ownership in all common areas. such as grounds, lobbies, and elevators. A condominium unit need not be occupied by the owner to be counted as such.

Noncondominium. All other types of ownership, including cooperative where a share in a corporation with title to a multi- unit property entitles the owner to occupy a specific unit.

Limitations: In a test taken before the 2n --- survey census, overstatement of condominiums was noted. Therefore, an edit was introduced in the 1980 census voiding apparently spurious condominillm rssponses in blocks or enumeration districts with a very e,nall n~uober of such responses on the assumption that conioainium units can occ!lr only in groups of several condominium units.

Historical comparability: In 1970, owner-occupied cooperative and condominium housing units were identified together. In 1980, only condominium units are identified. The 1980 data also include vacant and renter-occupied condominium housing units, not .just owner- occupied condominium housing units as in 1970.

CONGRESSIONAL DISTRICT. One of the 435 State or sub-State areas from which persons are elected to the 1J.S. House of Representatives. TWO

sets of congressional districts are recognized in 1380 census products. Districts of the 97th Congress (1981-1982) are summarized on STF 1A and STF 3A. Districts of the 98th Congress (1943-1981) reflecting redistricting based on the 1980 census, are summarized on STF ID and STF 3D and in series PHCEG-4, Congressional Districts OF tbe 98th Congress.

The PHCSO-4 rsports. issued by State, include a map cf the State showing congressional district boundaries in relation to county outlines. Yore detailed maps follow showing selected congressional district boundaries in cases were the 5tate map cannot <delineate the congressional districts with sufficient clarity. These maps will be republished later in the Congressional District Atlas for the 98th Congress. Congressional district boundaries are not shown on detailed 1980 census maps.

Historical comparability: Districts of the 97th Congress were the same as districts for the 93rd Congress for all but 4 States: New York, California, and Texas, which were redistricted for the 94th Congress; and Tennessee, in which one boundary change took effect for the 95th Congress. 1970 data for these congressional districts were published in Congressional District Data (CDD) report series for the 93r'i and 94th Congresses, but not including the later change for Tennessee. The Congressional District Oat.% Sook republished COO reports for the 93rd Congress.

COUT'IACT RENT. See RgYT, CONTRACT

COOKIW F4CILITIES. -- See KITCHEX FACILITIES, COMPLETE

COOKIUG FUEL. See FUEL

CORRECTIONAL INSTITUTIONS. See GROUP QUARTERS TYPE

COSTS. See ENERGY COSTS, MONTYLY RESIDENTIAL; OWNER COSTS, SELECTED UONT?LY; RENT, CONTRACT; RENT, GROSS

COUNTRY 2 BIRTR. Foreign-born persons were asked to report their country of birth. Persons born in Puerto Rico, in an outlving area of the United States (e.g., Guam), or abroad of 4merican parents (determined in the question on citizenship) are native and therefore 2re ~excluded from country-of-birth tahulstions. These datn cme from the place-of-birth question, which also collected information on Stxte of birth for natives, and was asked on a sample basis.

Foreign-born persons were asked to report their country of birth according to International boundaries as recognized by the U.S. government as of April 1, 1980. The respondent's entrv was manually coded in census processing offices into a classification svstem consisting of over 250 foreign countries or grouns of countries, as well as 22 categories for outlying areas of the United States. Most data presentations include 20 to 60 foreign-countrv categories. Census basic records and public-use microdata files separatelv identify 300 countries of birth.

Historical comparability: A similar question on countrv of birth was asked in 1970.

See also: -- NATIVITY AND PLACE OF 9IRTq; STATE OF SIRTR

Cr)UUTRY E RESIDEVCF IU 1975. See RESIDENCE IX 1975 --

COUYTY. The primary political and administrative subdivision of a State. In Louisiana, such divisions are called parishes. In Alaska 23 boroughs and "census areas" are treated as county equivalents for census purposes. Several cities (Baltimore, Harvland; St. Louis, Missouri; Cars on citv, Nevada; and 41 Virginia cities) are independent of anv county organization, and thereby constitute prirnarv divisions of their States and are treated the same as counties in census tabulations.

County boundaries are shown on most census maps. 4 3-digit Federal Information Trocessing Standards (FIPS) countv code identifies each county uniquely within State. Counties are nuabered in alphabetic sequence, with independent cities numbered sepsratelv at the end of the list.

There are 3,215 counties ,and countv equivalents (includin: 73 in Puerto Rico) recognized for the 1980 census. Tabulations for all counties appear in STF's 1 through 4, and in PC80-1-A. -9, an,1 -C,

227

'-ICYO-1-4 and -9, a"d PqCSO-3 renorts. Tabulations for counties of 31),000 or 'noi-e inhabitants 'icpea~ in STF 5.

w-rical COmDarabilitv: 4 "umher of chaages have occurred to countv boundaries since 1970. 4 new set of countv equivalents (boroughs and census areas) has bee" defined for Alaska, and in some cases these county equivalents differ considerably from the census divisions recognized for 1970. In addition, there are minor changes in counties for South Dakota and rfawaii. In Virginia, county boundaries have changed as a result of the creation of new independent cities and annexations by independent cities. Most other changes represent minor adjustnents of the boundaries between counties. Those counties which changed boundaries between 1970 and 1980 are noted in footnotes at the end of table 4 of the PCSO-l-4 reoort for each Stste.

C3UVTY EOlJIV%LEXT. See COUUTY -- -

COUUTY SUSDIVISION. See CENSUS COUVTY OIVISIO~; CENSUS SUHilE4; 'XIUOR CIVIL DIVISION

CROP SALES. See F4RU RESIDENCE --

CROWD1 \iG. See PXRSONS PER ROOM

DIRECT 4CCESS. See HOUSING UNIT

DISASILITY. Presence of a "hvsical, mental, or other health condition which has lasted 6 or m0l.e months and which limits or prevents a particular tvpe of activitv. Two tvpes of disahilitv were cited on ttie questionnaire--work disability, which is tabulated for noninstitutional persons 16 to 64 vears old; and public transportation disabilitv, which is tabulated for noninstitutional persons 16 to 54 vears old and for noninstitutional persons 65 vsars old an4 over. This item was ask& 0'1 a san"le basis.

The term "health condition" refers to anv phvsical or venta. "robl?m which has lasted for 6 months or 7101163. 4 serious problem with seeing, hearing, or speech would be considered a health condition, whereas pregnancv or a temporary health problem such as a broken bone that is expected to heal normallv would not be considered a health condition.

Categories of work disability status are as follows: -- --

With a work disability. Persons who have a health condition which limitsthe kind or amount of work or "revents working at a job or business. A person is limited in the kind of work he OP she can do if the person has a health condition which restricts his or her choice of jobs. 4 person is limited in amount of work if he or she is not able to work at % full tiae (35 or mar? hours nrr weir) joi, or business. Yithi" t'7is categorv. tahulatioqs ??'l frequentlv provided on the number of persons with a work disability who are not in the labor force.

Prevented fron working. Persons not in the labor force who have a health condition which prevents working at anv .job OP business.

Public transportation dissbilitv category is as follows_: --

With a public transportation disability. Persons who have a health-condition which makes7 difficult or impossible to USS

buses, trains, subways, or other forms of public transportation.

Limitations: The disability item was included in the 1980 census because of the need for local area data on the relative prevalence of work and public transportation disabled persons. The decision to include the item was made even though there was test evidence that there was likely to be a problem with data reliability. Specifically, an analysis of the 1976 National Content Test, which collected disabilitv information in both an original interview and a subsequent reinterview, showed t'lat the indexes of inconsisrencv for respo"ses to the work and public transportation disability questions were in the moderate to high range.

Historical comparability: The 1970 disability item was concerned only with work disability and did not attempt to identify persons with a public transportation disability. The 1970 item did not contain a clause restricting disability to those resulting from a health condition which had lasted 6 or more months; however, it did contain a separate question about the duration of the disabilitv.

DIVISION (Census Geographic). A census geographic division is one of the nine groups of States which are subdivisions of the four census geographic regions of the United States. (See figure 6.) Census geographic divisions are identified bv a l-digit code which is also the first digit of the 2-digit census geographic code for each State in the division.

flistnrica.1 comparabilitv: Census divisions have remained Iunchanged since the 1910 census, except for the expansion of the Pacific division to include Alaska and Hawaii.

DIVORCE. See MARITAL STATUS

DURATION x VACANCY. See VACANCY, DURATION OF

EARNINGS. See INCOME TYPE

ECONO'JIC SUBREGION (ESR). A grouping of State economic areas (SEA's) which brings together those SEA's which are most closely related in terms of their economic and social characteristics. The areas were first defined following the 1950 census and updated after the 1960 census. In order to achieve such homogeneity, State boundaries are frequentlv crossed. The 510 SEA's are grouped into 121 <SR's. 4 3- digit numeric code is assigned to each ESR. be

\Jo data suvnmaries will prepared for ESR's, although the ESR code apoears on t:1e

geograohic records of the summary tape files.

New England

*,I*’

. :

,nrth k”:ml

,,,,

Historical comparnhilitv: ESQ boundaries have renained the same since 1960.

ELDEQLY, HOMES FOR. See GROUP QUARTFQS TYPE --

ELECTION PRECINCT. In census usage, any of a variety of types of areas (e.g., election districts, precincts, legislative districts, wards ) defined by States and local governments for purposes of elections. Under a cooperative Census Bureau/State program, the boundaries of election precincts and ED's or census blocks were drawn so as to be compatible in many States.

The Bureau prepared election precinct data for all or portions of 23 States; in some other States, users may aggregate block data to create election precinct statistics. The election precinct ,datz aopear in the P.L. 94-171 Population Counts taDe file and on microfiche of that file.

Historical comparxbilitv: Election precincts have not been recognized in past censuses, except where they have served as minor civil division boundaries.

ELECTRICITY. See ENERGY COSTS, MONTHLY QESIDENTIAL; FUEL

ELEMEXTARY SCHOOL SNQOLLUENT. See SCHOOL LEVEL

ELEVATOR, PASSE'IGEQ. Presence of a. passenger elevator in tile structure, ascertained for occupied and vacant housing units i9 structures with four ol- m0I-S stories or floors. Elevators arL3 couqted even if used largelv, though not exclusivelv, for freight. AlSO included are stairwav elevators and wheelchair lifts installed in structure of four or more stories. This item was asked on a sample basis.

Uo elevator. --- The numher of housing units in strucrur?s with four or more stories with no passenger elevator or with onlv elevator service used for freight.

Historical COmDarPbilitv: Similar data were collected in 1960 an,3 1970; in 1960, however, these data were collected only in cities with 50,000 or more persons.

See also: STORIES IN STRUCTURE --

EMPLOYUENT STATUS. See LAROQ FORCE STATUS

EMPLOYYENT, TYPE OF. See CLASS OF WOQKER --

E"iERGY CO~SUUPTION. See AIR CONDITIONING; ENERGY COSTS, UONT'{LY Q'ZSIDENTIAL; FUEL; QEATING EqUIPvENT

?UERGY COSTS, 8ONTQLY RESIOEYTIAL. The average montllv expense f:,r fuels and utilitiesinoccupied housing -inits. Fuels include oil, coal, wood, kerosene, .and other fuels; utilities include

231

electricity, gas, and water. Costs are recorded if paid by or billed t,3 occupants, a welfare agency, relatives, or friends. C:osts paid by landlords or included in condominium or cooperative fees al-‘? exclbded. Also excluded are pay-nents by occupants for fuel bills ot!ler t!lan their own. Water and fuel costs are converted from a yearly basis as reported, to a monthly basis.

Utility and fuel costs are used primarily as components of "Gross Rent" and "Selected Monthly Owner Costs." since utilities included in rent payments are not recorded, residential energy cost data for renter-occupied units are of limited value for direct study. For

that reason, separate fuel and utility cost figures are not issued in the more widely circulated census reports, but only on summary tapes. Basic record tapes and microdata show dollar amounts up to $999 for electricity, gas, and water, and to $9,999 for fuels. If the respondent used words or syabols such as 11nor5 than" or some dollar 1nount with a "+", a doll,ar was added to the amount: if "less tian" was used 3 dollar 'was subtracted. If the entry read "sroun.1," "approximately," or "about," tile amount reported was used. These items were asked on a sample basis.

Monthly residential energy costs as percentage of income. Monthly -- residential energy costs divided by one-twelfth of the household income in 1979.

Limitations: A sample taken before the census showed that respondent's estimates were overstated as compared with utility company records.

Historical conparability: Similar data were collected for renters only in 1960 and 1970. Directions implied in the 1970 format were nade explicit to respondents in 1980: "The amounts to be reported should be f.or the last 12 months, that is, for electricity and gas 9 the monthly average for the past 12 months; for water and other fuels, the total amount for the last 12 ?IontYls." The eupressix "included in rent" was expanded to "included in rent or no charge."

See also: -- FUEL; OWNER COSTS, SELECTED VONT‘3LY; REVT, GROSS

ENGLISH SPEAKING ABILITY. See LANGUAGE SPOKEN AT HOVE AND ABILITY TO SPEAK ENGLISH

EXROLLMENT z SCYOOL. See SCHOOL ENROLL!OENT

ENUMERATION DISTRICT,(ED_). An area used in the 1980 census for (data collection activities and as a tabulation area where blocks are not present . XD's do not cross the boundaries of legal or statistical areas; for example, census tracts, +lCD's/CCD's, places, counties, congressional districts, and States. Secause of these constraints, they vary 'widely in population size, although they do not generally exceed a Population of 1,600 in areas where the census 'was taken bv mail, or a population of 1,000 in ar?as where the census was taken by conventional enumerator canvassing. The population limits ar? designed so that an ED generally represents a reasonable workload for

-.

one enumerator. About 1,000 ,jurisdictions in 47 States participated in a program for local definition of ED's. I" areas without blocks, ED's are the smallest unit of census geograohv for which statistics are prepared.

ED boundaries are show" on MWS/VUS, place, and countv maps in areas where there are no block numbers. ED's are identified bv a 4-digit number (except that leading zeros. when they occur in ED numbers, do not appear on the maps). An ED number may be followed by a l-letter alphabetic suffix. The suffix is used to identify subdivisions of ED's made during data collection and processing activities where the original ED proved to be too populous for an efficient work unit, or to accommodate a revision to a place or other boundary made after Januarv 1, 1978 in mail-out/mail-back areas or Januarv 1, 1979 in conventional census areas. An ED number nay also have a l-letter "refix indicating that the ED is of a special type (e.g., an American Indian reservation), but the prefix is not necessarv for uni:lTle identification of the ED. ED numbers do not repeat within a countv. Anv ED mav be uniquely identified bv accompanying its ED code with the Z-digit State code and 3-digit county code.

Statistics will be prepared for about 100,000 ED's. ED data, together with data for BG's, appear on STF's 1A and 34 and corresponding microfiche. In addition, ED data appear on STF 18 to complement the summaries for blocks. There are no printed data for ED's.

Historical COmDarabilitV: Manv areas which were covered bv ED's in 1970arP summarized in terms of blocks and BG's for 1980. I" some cases it mav be possible to add up blocks to approximate the 1970 ED'S, based on detailed comparison of 1980 and 1970 maps.

I" areas covered by ED's for 1980, enumeration considerations dictated ED size and design, and historical comparsbilitv does not "ormallv enter into consideration.

EQUIPYENT. See AIR CONDITIONIVG; REATIVG EQUIPHE;\IT; TELEPW':;: I\i HOUSIUG UYIT; VEHICLES AVAILABLE

ESKIMO POPULATION. See RACE

ETHNICITY. SW? ANCESTRY; LANGUAGE SPOKEN AT HOUE AND ABILITY TO SPEAK ENGLISH; NATIVITY AND PLACE OF 8IRTB; RACE; SPANISH ORIGIY

EXPERIENCED CIVILIAN L48OR FORCE. See LABOR ~-

EXTETDED CITY. See URBANIZED AREA

F.AMILY. Two or more persons, including related by birth, marriage, or adoption, and

._. __

FORCE ST4TUS

the householder, who are who live together as one

nousenola; all SUCh persons are considered as members of one f:%nilv. (Persons not in families and not inmates of institutions are classified as unrelated individuals.) Families are defined using responses to the complete-count household relationship question.

If the son/daughter of the person r)r COUPlC3 who maintains the 'lousehold and the son's or daughter's spouse and /or children are x!rnbers of the household, thev are treat4 as part of the householder's familv. 1 roomer/boarder and his/her spouse who are not related to the person or persons who maintain the household, or a resident emplovee and his/her spouse living in are not counted as a familv, but as individuals unrelated to the householder. Thus, a household can contain only one family for purposes of census tabulations.

1 person maintaining a household alone, or two or more unrelated persons are regarded as a household but not as a family. Thus, s nme households do not contain a familv.

Subfamilv. 4 married couple with or without own children, or one narent with one or :nore OW" children (parent-child group), living in a housing unit and reLateri to the householder, hut excluding the householder (for example, a young married couple sharing the home of the husband's or wife's parents). Since subfamily members are counted as part of the householder's family, the "umber of subfamilies is not included in the count of families oer se. Suhfamilies are defined during processing of sample data. I" selected tabulations, subfamilies are further classified hv type: married-couwle subfamilies, with or without own children; father-child subfamilies; and mot'her-chiLd subfamilies.

(In certain Census Bureau surveys (e.g.. CPS) before 1980, families as defined here are referred to as "primarv families." The term "secondarv family" refers to a resident family unrelated to the householder, such as a roomer and his or her soouse. Tabulations of families from such survevs include secondarv families.)

Historical comwarsbilitv: A similar definition for familv uias luse:i in 1970. In 1960, secondary families Were also identified.

See also: -- HOUSEHOLD RELATIONSHIP; UNRELATW INDIVIDUAL

FAMILY IUCOME IN 1979. Total money income received in calendar year 1979 by all famEy=bers 15 years old and over, tabulated for all families. Family income differs from household income by excluding income received by household members not related to the householder, persons living alone, and others in nonfamily households. (Income of these unrelated persons along with income of persons living in noninstitutional group quarters is tabulated as income of unrelated individuals 15 vears old and over.) See the definitions of Income In 1979 and Income Tvpe for a discussion of the sources of incolne recorded, means, medians, limitations, and comparability.

I" income tables for families, the lowest income group (e.g., less than 32,500) includes families that were classified as having no 1979 income as defined in the census. Many of these were living on income "in kind," savings, or gifts; Were newly created families: or Were

234

families in which the sole breadwinner had recently died or left the household. However, many of the families who reported no income probably had some money income which was not recorded in the census. Family income is recorded on public-use microdata in $10 intervals up to $75,000 or down to a net loss of $9,990 or more.

tiedian and mean family income figures are based on all families, unlike mean or median income figures for persons 15 years old and over, which exclude persons with no income. This item was derived on a sample basis.

Historical comparability: Family income distributions have been tabulated in each census since 1950. Family income has been replaced by household income distributions in certain tabulations for 1980.

See also: INCOME IN 1379 --

F~\:.IILY ME'4SERS. See ROUSEHOLD RELATIONShIP

FA'4ILY TYPE. Families are classified by type according to sex of the householder and the presence of relatives, based on questions on Se*

and household relationship asked on a complete-count basis.

Harried-couple family. A family in which the householder and his/her spouse are enumerated as members of the same household.

Other family.

Male householder, no wife present. A family with a male householder and no spouse of householder present.

Female householder, "0 husband Present. Family with a -- female householder and no spouse of householder present.

Historical comparability: The terminology for the familv-type categories is new for 1380. The categories are reasonably compaziole with the 1970 categories, "husband-wife families," "families with other male head," and "families with female head."

See also: -- FAMILY; HOUSEHOLD TYPE

FARM RESIDENCE. Presence of persons or housing units on farms. 4 farm is a place with $1,000 or more in sales of crops, livestock, or other farm products during the preceding calendar year. Farm residence is determined for both occupied and vacant housing units in rural areas. The question was structured to exclude units on city or suburban lots or on places of less than one acre. Urban areas are excluded through editing. Data are summarized in terms of housing units on farms or persons living on farms--not the number of farms. This item was determined on a sample basis.

Rural Farn. In a rural area and on a place with $1,000 or 'nor,: inles of crops, livestock, or other farm products during the preceding calendar year.

9llra.l Nonfarm. In a I%ral area but not on a farm as defined above. This need not imply location in a sparsely settled area, since "rural" includes incorporated and unincorporated places with fewer than 2,500 inhabitants outside urbanized areas.

Historical como.arzbilitV: Farms have been counted since 1593; far* and nonf.arm residence, since 1930. Before 1960, farm residence was determined essentially by self-identification; i.e., respondents answered whether they lived on a farm. Determination of farm residence based on acreage and sales of fara products began in 1960. In 1970. a farm was defined as a place in rural territory with at least $250 in sales of farm products, plus additional places with 10 or more acres and $50 or more in sales of farm products. The information on acreage in item H15 is included to allow comparable tabulations to be developed for both old and new farm definitions.

F-l;i:fi SELF-E'dPLOY'.!EUT I"ICO'IE. See IUCQME TYPE --

PA?3 WORKERS. See IZIDUSTRY; OCCUPATION

FEDERAL GOVERNMENT EMPLOYSES. See CLASS OF WORKER

FEMALES. See FA.MILY TYPE; SEX

FERTILITY. See CHILDREN EVER BORN

FI'JANCI4L CHARACTERISTICS. See O!YNER COSTS, SELECTED \107‘IT:<LY; IIENT, CONTRACT; RENT, GROSS; VALUS

FIRE ANi) HAZARD I?ISURA?JCE. -- See O'UNER COSTS, SELECTED MO?IT:iLY

FOREIGN-SORN PERSONS. See NATIVITY AND PLACE OF BIRT'I

FUEL. The types of combustible aatter most often used for house heating, water heating, and cooking in occupied housing ,lnits, ta'bulated separately. The term "house heating" applies to all types of strut tures ) inclitding apartment buildings. These items :vere asked on a sample basis.

Utility gas. Gas piped underground from a central system (public utility company, municipal government, or the like) that serves the neighborhood.

aottled, tank, or LP gas. -- Bottled, tank, or liquefied petroleum zas stored in tanks which are refilled or exchanged when empty.

Electricity.

Fuel oil, kerosene, etc. Fuel oil, kesene, gasoline, alczl, and other

distillate, resifiual oil, combustible liquids and

semi-fluids.

Coal or coke. ~--

236

aood. Purchased wood, wood cut by household members on their property or elsewhere, driftwood, sawmill or construction scraps, or the like.

fuel. Other All other fuels not specified elsewhere, including ourchased steam, fuel briquettes, coal dust, waste materials such as corncobs, etc. Households that use solar energy as the prime source of fuel are also included in this category. In certain tabulations of limited detail, coal or coke, wood and sometimes fuel oil and kerosene are combined and shown as either "other fuel" or "other v .

No fuel used. Includes the three definitions below. ---

0 I" house heating fuel datn--the number of housing units that are not heated;

l in water heating fuel data--the number of housing units without piped hot water; and

. in cooking fuel data --the number of housing units with no cooking equipment in the unit.

Exclusive Fuel Used. Use of only one type of fuel for house heating, water heatingandcooking, ascertained for occupied housing units. The types of exclusive fuel used shown separately are utility gas and electricity. The residual category "other" includes all occupied housing units where utility gas or electricity were not the fuel used exclusively for the three purposes--house heating, water heating, and cooking.

Limitations: A test survey taken before the census showed moderate to large biases in the question on fuels used. A 1970 census evaluation study found that electricity was overreported as a house heating fuel and that fuel oil. and kerosene were underreported in the 1970 census.

Ristorical comparability: Similar data have bee" collected on cooking and house heating since 1940 and on water heating since 1960.

See also: -- ENERGY COSTS, MONTHLY RESIDENTIAL; HEATING EQUIPMENT

FULL-TIME/PART-TIME WORK. See HOURS %ORKRD LAST 'WEEK; HOURS WORKRD PER WEEK 1%' 1979

GARDEN APARTMENTS. See STORIES IN STRUCTURE

GAS. See FUEL

GOVERNXlENT E!IIPLOYEES. See CLASS OF WORKER ~--

GRADE IN SCHOOL. See SCHOOL LEVEL --

GROSS RENT. -- See RENT, GROSS

237

IGROSS REUT 45 A PERCE~TkGE 02 IWOME. See RENT, GROSS ----

;RCUP QUARTERS. PSRSONS 2. Persons in living arrangements, such as nursing homes or rooming houses, which are not households. Group quarters status was determined on a complete-count basis.

Two general categories of persons in group quarters are recognized.

Inmate of institution. time of Ziiumeration.

A person under care or custody at the Inmates are persons in such facilities as

homes, schools, hospitals, or VIaI-dS t-OX- the physically or mentally handicapped; persons in hospitals or wards for mental, tubercular, or chronic diseases; persons in homes for unmarried mothers. , persons In nursing, convalescent, and rest homes for the aged and dependent: persons in orphanages: and persons in correctional institutions. T’leSe persons are enumerated as residents of an institution--regardless of their length of st:a.V in the particular place and regardless of the number of people in the places. Some tabulations include data bv nwjor types of institutions (home for the aged, mental hospital, correctional institution and other institutions).

Other persons & group quarters. Persons living in group ouarters who are not inmates of institutions. Rooming and boarding houses, communes, fara and nonfar-n workers' dormitories, convents or monasteries, and other living quarters are classified as "other" group quarters if there are 9 or more persons unrelated to the person listed in coliumn 1 of the census ~questionnaire; or if 10 or more unrelated persons share the unit. Persons residing in certain other types of living arrangements are classified as living in "other" group quarters regardless of the number or relationship of people in the unit. These include p~l-SO*S residing in military barracks, on ships, in college dormitories, or in sorority and fraternity houses; patients in gc?neral or maternitv wards oE hospitals Who have no usus residence elsewhere; staff members in institutional quarters; and per* on* enumerated in missions, flophouses, Salvation J.r-ny shelters, railroad stations, etc.

Historical comparability: In 1970, 6 or more unrelated persons living together were classified as group quarters; for 1980 that requirement was raised to 10 or more unrelated persons.

See also: GROUP QUARTERS TYPE; HOUSEHOLD

GROUP 9UARTERS TYPE. Classification of institutions and noninstitutional quarters by the type of service provided, recorded on a sample basis for persons in group quarters. Vote that statistics are provided primarily in terns of the number of p~rS0ll-S residing in group quarters, not the number of group quarters (reported only in a subject report). See the definition for group

quarters under Group Quarters, Persons In.

For those institutions which have multiple types of major service, usually general hospitals and Veterans 4dministrstion hOSDit.als. inmates were classified by the tvpe of care provided on their ward.

Inmate of institution:

Inmate of mental hosDita1. Patients receiving care in mental hospitals, or psychintric wards, or receiving mental health services in general hospitals or veteran's hospitals, or receiving care in alcoholic treatment and drug addiction centers. Basic records further discriminate among Federal, State, or local government and private mental hospitals.

Inmate of home for the e. ---- Persons under care in nursing, convalescent, and rest homes for the aged and dependent (including county homes, almshouses, poor farms, and fraternal or religious homes for the aged). While the great majority of these inmates are older persons, persons who are economicallV dependent or who reauire nursine care because Of chronic physical conditions may be found in regardless of age. Basic records differentiate to have nursing care from homes not known to care, and further classify these homes into State, county and city, private nonprofit, proprietary.

these hones, homes kno-wn have nursing Federal and and private

Innate of correctional institution. Inmates of prisons, reformatories, local jails, and work houses. Basic records differentiate Federal, State, and local institutions. Correctional institutions are included with "Other institutions" in many tabulations.

Inmate of other institution. Inmates of hospitals or war,+, for tuberculosis or other chronic disease (except mental); homes, schools, hospitals, or wards for the mentallr or physically handicapped, including places for the blind and deaf; orphanages and other homes for dependent .nd neglected children; residential treatnent centers for ernotionsllv disturbed children; training schools for .juvenile

delinquents; and homes for U”VEd mothers. Basic records classify each type separately and in many cases differentiate public from private institutions.

Other person in group quarters:

& military barracks. Military personnel living in barracks or on ships. Sesidents of housing units on militarv bases are not counted here, but are included with the population in households.

R EatZliTye

dormitories. College students in dormitories, and sorority houses) and rooming houses

exclusively for college students (Drovided there are 10 or inore unrelated students or 9 or m0l-e unrelated to the resident who operates the place).

239

I"- roomis houses. Residents of rooming houses or other living quarters with 10 or nore unrelated persons or nine or inore persons not related to the person in charge, and the small number of persons tenporarily residing in hotels, #motels, Y's, and residential clubs who had no per-nanent residence elsewhere.

In group other uarters. Persons in religious ;;;fr;;yrs (e.g., c%vents, rnyz;si;;;es,

group and rectories);

houses; c"mmuneS, transient quarters, including flophouses and missions ; general hospital or nurses' dormi tories. Also included are crews of commercial ships, institutional staff'residing in group quarters, and persons enumerated in the casual count (nonhousehold living situations such as parks, campsites, transient sites, etc.). Basic records code each Wee separately. Public-use nicrodata samples identify the eight broad categories S!l"~Nrl above, while internal basic records show over 70 detailed types.

Historical comparability: In 1960 data on persons in military barracks were shown only for men. In 1970 and 1960 they include both nlen and women.

HEATIYG EQUINEXT. nest often used, -- Type of heating equipment ascertained for occupied units and vacant units. Vacant llnits are classified by the type of heating equipment available for use by the intended occupants or that used by the previous occupants if t'be unit is without heating equipment. This item was casked on a saaple basis.

Central heating system.

Steam or hot water system. -- A central heating system which supplies steam or hot water to conventional radiators, baseboard radiators, heating pipes embedded in wzlls or ceilings, heating coils or equipment which are part Iof iF combined heating-ventilating or heating-air conditioning system.

Central warm-air furnace. -- A furnace which provides war? air through ducts (passageways for air :novement) leading to the various rooms. Electric heat pumps are excluded.

Electric with

A combination heating-cooling system coils, a compressor, and a

refrigerant to pump hoz air in during the winter and cooled air in during the summer. The heat pump my be centrally installed with ducts to the rooms, or there may be individual heat pumps in the rooms. It may also be known 3s a reverse cycle svsteq.

Other built-in electric units. Electric heating units -- permanently installed in the floors, walls, ceiling, or baseboards which are a part of the electrical installation

240

of the building. (Electric heating devices that are plugged into an electric socket or outlet are not built in.)

Floor, wall or pipeless furnace. d The question does not

Three kinds of heating methods, distinguish between them. Floor furnaces are below the floor and deliver heated air to the room immediately above or (if under a partition) to the room on each side. Wall furnaces are installed in a partition or in an outside wall and deliver heated air to the rooms on one or both sides. Pipeless furnaces are installed in basements and deliver heated air through a large register in the floor of the room or hallway immediately above.

Lacking central heating system.

Room heaters with flue. radiant gas heaters, other

Circulating heaters, convectors, nonportable room heaters. that

burn gas, oil, kerosene, or other liquid fuel, and which are connected to a flue, vent, or chimney to remove smoke and fumes.

Room 'heaters without flue. Any room heater ("ot portable) that burns gas, oil, orxosene, which is not connected to a flue, vent, or chimney.

Fireplaces, stoves, or portable room heaters. Three kinds of heating methods. The question -does not distinguish between them. Fireplaces used as the principal source of heat are counted here, as are ranges and stoves, including parlor stoves, circulating heaters, cookstoves also used for heating, etc. portable room heaters can be picked up and moved around at will, either without limitation (kerosene, oil , gasoline heaters) or within the radius allowed by a flexible g=s hose or an electric cord (gas, electric heaters). This classification includes all electric heaters that get current through a cord plugged into an electric wall outlet.

None. Units with no heating equipment. Gest part of the

Most common in the country (Hawaii, Florida, etc.) and

seasonal units not intended for winter occupa"cy.

Limitations: A test survey taken before the census showed relatively large biases for certain types of heating equipment, particularly i" aulti-unit structures, when compared to reinterviews. A 1970 census evaluation study found that "steam or hot water system," "central warm air furnaces," and "floor, wall, or pipeless furnace" were under reported, and that "built in electric units" and "room heaters with flue" were over-reported.

Xistorical comoarability: Similar data have been collected since 1910. The electric heat pump category includes the central heat pumps which were part of the "central warm air furnace" category in

241

1970, as well as the individual room heat pumps which were included in the "built-in electric units" category in 1970. 4 1970 write-in category for "other neans of heating" was deleted.

See also: -- AIR CONDITIONI?IG; ENERGY COSTS, 'fiONTxLY RESIUENTIAL; FUEL

RISTORIC AREAS OF OKLAHOt4A (EXCLUDING URSANIZED AREAS). The historic ~- areas of Oklahoma c0**ist Of the former reservations which had legally established boundaries during the period 1900-1907. These reservations were dissolved during the Z- to 3-year period preceding the statehood of Oklahoma in 1907. The former reservation boundaries are used for planning purposes by tribes and the Federal government. I" the census, the entire area encompassing the former reservations was identified (except, for parts inside urbanized areas as approxinated in preparation for the 1980 census). Individual forqer reservations were not identified separately.

The historic areas of Oklahoma (excluding urbanized areas) were assigned a unique 3-digit code by the Bureau which appears in the reservation code field. Enumeration districts (ED's), block groups (~G's), and/or portions of BG's which comprise the historic areas (excluding urbanized areas) are designated with a" "A" in the ED prefix in tape files for Oklahoma.

Historical comparability: Historic areas of Oklahoma (excluding urbanized areas) were not identified in previous censuses.

HOLdE OWNERSNIP. See TENURE

BOMEDWNER VACANCY RATE. The number of vacant year-round units "for sale onl~'~ as a percent of the total homeowner inventory, i.e., all owner-occupied units and all year-round vacant units for sale onlv. Vacant units that are seasonal or held off the market are excluded. This item was derived on a complete-count basis.

See also: VACANCY STATUS --

HOURS WORKED LAST WEEK. The number of hours actually worked at all jobsduring the reference week, ascertained for all persons ,who reported that they worked during that week. Lunch hours, sick leave, and vacation leave are excluded, but overtime or extra hours worked in the reference week are included. Therefore, the statistics do not necessarily reflect the number of hours usually worked or the scheduled number of hours. This item was asked on a sample basis.

At work, full tine. Persons who worked 3.5 hours or more during -- ze reference week.

At work, part time. Persons rho worked 1 to 34 hours during the Gference week.-

Census bvsic records and public-use microdata record the actjlal "umber of hours up to 99.

242

Limitations: The number of persons rho worked only P small number of hours is probably understated since such persons sometimes consider themselves as not working. The occurrence of Passover and Good Friday in the week of April 1, 1980, should not have affected the number of reported hours worked since the reference week for most persons was the week before April 1. For those persons who completed their forms the following week, 1 or more days of the reference week may have been observed as a holiday, reducing the number of hours worked. The net effect of these holidays on hours worked statistics was probably not major nationwide, but may need to be considered in local areas where these holidays are widely observed.

Historical comparability: In 1970 and 1960, data on hours worked were recorded in intervals: 1 to 14 hours, 15 to 29, 30 to 34, 35 to 39, 40, 41 to 48, 49 to 59, and 60 or more. Data were also tabulated for l&and 1%year-olds in selected tables.

HOURS WORKED PER WEEK I?I 1979. The number of hours usually worked -- --- -g those weeks the person worked in 1979, generally tabulated for persons 16 years old and over who worked in 1979. If the numher of hours worked per week varied considerably during 1979, an approxiaate average was reported. This item was asked on a sample basis.

Usually worked __ time. full Persons 16 vears old and over ,rho usually worked 35 or more hours per week worked in 1979.

Usually worked part time. Persons 16 years old and over who usually worked 1 to 34 hours per reek worked in 1979.

Census basic records include the actual number of hours usually worked per week, up to 99. Statistics on usual hours worked in 1979, along with weeks worked in 1979, can be used to put 1979 earnings in perspective.

Limitations: Some users of -- nicrodata may attenet to calculate an average wage rate by dividing 1979 earnings by the product of weeks worked and usual hours worked per week. The usual hours ,w"rked data are probably not precise enojlgh to yield reliable results in such a calculation.

Historical comparability: New item for 1980.

See also: WEEKS WORKED IN 1979 --

HOUSE HEATING FUEL. See FUEL

HOUSEUOLD. The person or persons occupying a housing unit. counts of households, householders, and occupied-housing units are always identical in complete-count tabulations. In sample tables, the numbers may not always be the same because of differences i '3 weighting sample data.

See also: -- HOUSEHGLD RELATIONSRIP; HOUSEHOLD TYPE; ROUSING UUI'P

243

HWSEH!)LD INCOVE E 1979. Total money income received in calendar vear 1979 by all household members 15 years old and over, tabul,xted for 311 households. Household income differs from family income by including income received by (a) all household members 15 gears OU

or over, riot just those related to the householder, and by (b) persons living alone and in other nonfamily households. See the definitions of Income In 1979 and Income Type for discussions of sources of income recorded, means, medians, limitations, and comparability to other data bases.

In income tables for households, the lowest income group (e.g., less than $2.500) includes households that were classified as having no 1979 income as defined in the census. Uany of these were living on income "in kind," savings, or gifts: were newly created households: or were households in which the sole breadwinner had recently died or left the household. Yourever, many of the households who reported IlO

income probably had some noney income which was not recorded in the census. Household income is recorded on public-use microdats in SlO intervals 'up to $75,000 or down to a net loss of 39,990 or nor*.

Median and mean household income figures are based on all households, unlike mean or median income figures for persons 15 years old and O”C?l-, which exclude persons with no income. This item was derived on a sample basis.

Historical comparability: Household income was tabulated for the first time in the 1970 census, but its use UWS limited to one detailed table in PC(l)-D and the Sixth Count summary Tape. Household income is used in 1980 population reports in some places vhere family income was used in 1970 population reports. In 1980 as compared to 1970 housing tabulations, household income replaces "income of family or primary individual," which excluded the income of anyone unrelated to the household head. ttousehold income is, however, derivable on public-use microdats samples from the 1960 and 1970 censuses.

See also: FAMILY --

HOUSEHOLD RELATIONSiiIP. Relationship to the person in column 1 of the census questionnaire, ascertained from replies to a cornplete- count question.

In household. Persons in the household include: -

Householder. The person who was reported in column 1. This reference Demon uns to be the person or one of the persons in whose name the home was owned or rented. If there was no such person, any adult household member at least 15 years old who was not a roomer, boarder, or paid employee was to be reported in colu!nn 1. In complete-count tabulations, the number of householders is the s,ame as the number :, f households or occupied housing units. In s*rnple tabulations, the numbers may not always be the saine because of differences in weighting sample data.

244

Fsmily householder. 4 householder living with one or more persons related to him or her by birth, marriage, or adoption.

Nonfamily householder. A householder living alone or only with persons not related to him or her.

The husband or wife of the householder, living with %%%seholder. This category *a7 include persons in common-law marriages *s well as persons in formal marriages; it does not include a partner or roommate of the opposite sex. In complete-count tabulations, the number of spouses is the same as the number of married-couple families or married-couple family households. The number of spouses, however, is generally less than half of the number of “married persons with spouse present" in sample tabulations, since only spouses of householders *re specifically identified as "spouse." Sample tabulations of the number of married persons with spouse present include subfamilies (see difinition under Family) as well as married-couple families.

Child. A son, daughter, stepchild, or adopted child of the householder, regardless of the child's age or !narital status. The category excludes sons-in-law, daughters-in- law, and foster children.

Lhvn child. A never-married child under 18 years who is -- a son, daughter, stepchild, or adopted child of the householder. In certain tabulations, own children are further classified as living with two parents or with one parent only. Own children of the house!iolder living with two parents are by definition found only in married-couple families.

Related child. An "own child" or any other family member (regardless of marital status) who is under 18 years, excePt the householder or spouse. Foster children are not incl-Aded since they are not related to the householder.

Other relative. A household member related to the householder by birth, marriage, or adoption. but not included specifically in another relationship category. The scope of this category may ,differ from table to table, depending what other relationship categories ar.2 included. Izndetailed tabulations (STF 2 , STF 5, or PC80-l- D) the following categories may also be shown:

Parent. In complete-count tabulations, the father or mother of the householder, including a stepparent or adoptive parent. On sample basic records and microdats files , fathers- and mothers-in-law cous titute ;i

245

separate category coded from write-in responses under "other relative" on the questionnaire. One STF 5 and PCBO-1-D tabulation includes both parents and parents- in-law in the same category.

Brother z sister. In complete-count tabulations, the brother or sister of the householder, including stepbrothers, stepsisters, and brothers and sisters by adoption. On sample basic records and microdata files, brothers- and sisters-in-law constitute * separate category coded from write-in responses. 9ne STF 5 and PC80-1-D tabulation includes brothers- and sisters-in- l*V/ *long with brothers and sisters in the same category.

Son- = daughter-in-law. ofthe householder,

Spouse of a son or sdaughtsr coded from write-in responses.

Grandchild. Grandchild of the householder, coded from write-in responses.

Other. The following categories are separately coded insample basic records and public-use microdata files only: nephew/niece, grandparent, uncle/aunt, cousin, and "other."

Nonrelative. Any household member, including foster children, not related to the householder by birth, marrisge, OP adoption. The following categories are presented in certain more detailed tabulations.

Partner or roommate. Nonrelative who lives together and sharerexpenses with the householder.

Roomer or boarder. Roomer, boarder, lodger, ,OP relative z such; or foster child or ward of the householder.

Paid employee. Nonrelative who is paid to provide household services, such as a maid, housekeeper or gardener.

Other nonrelative. Nonrelative who cannot be described by the above categories, including a person who is related to a partner or roommate or to's pai'd employee.

Inmate of institution and other person in group quarters. -- (Treated-as categories of houzehold relationship for purposes of tabulation. definitions, see CrOllp 'Quarters, Persons In.) Persons in group Lluarters :i re

246

excluded from counts of persons in unit.

Responses to the household relationship defining families, and subfamilies (see Household Type). Tabulations frequently

households or persons in

item were also used in Family; Family Type; report relationship for _ ._ persons in family households separntelp from persons in nonfamily

households.

Yistorical comparability: The question was revised from 1970 to replace the head-of-household category with a format using a reference person, i.e., the "person in column 1." 1980 householders differ from 1970 household heads primarily where the wife in a married-couple family is listed as the "person in column 1." In 1970, the husband was automatically assumed to be the "head" of such a family. In 1980 tabulations, the substitution of one spouse for the other as the reference person may affect certain of the classifications, such as "parent" or "brother or sister," within the "other relative" grouping. The person in whose name the house or apartment is owned or rented may in a few cases differ from the person considered by other household members as the "head, w but this is expected to affect the classification of relatively few households.

The 1970 questionnaire category "other relative of head" was replaced on the questionnaire by three categories, "brother/sister," "father/mother," and "other relative." Since the category "patient or inmate" is marked only by census enumerators, it was moved to the bottom of the form in a space reserved for "census use only." New nonrelative categories include "partner, roommate0 and "paid employee." The former question asking relationship to head of family or household was asked from 1530 to 1970.

See __ also: FAMILY; FAMILY TYPE; GROUP QUARTSRS, PERSONS ESEHOLD TYPE

Iv;

HOUSEHOLD SIZE. See HOUSEHOLD, PERSOYS IN; PERSONS IN UNIT

HOUSEHOLD TYPE. Households are classified by type according to sex of the householder and the presence of relatives based on questions asked on sex and household relationship. This item was determined on a complete-count basis.

Family household. A household including a family (See Family). A family household may also include nonrelatives living with the family. The following subcategories are frequently provided: imarried-couple family; family with male householder, no wife present; and family with female householder, no husband present (see Family Type).

247

?Jonf@& household. -- A household consisting of a person living alone or of a householder living with other unrelated individuals (see Unrelated Individual).

Historical comparability: In 1970, nonfamily households were termed -r-individual households, a primary individual being a person living alone or the head of a household in which no relatives were present.

See also: -- FA!JILY; FAXILY TYPE; UNRELATED IYDIVIDUAL

HOUSIUG CONDITIONS, SELECTED. Presence of one or more of the conditions <described below, determined for occupied housing units on a sample basis.

Witn selected conditions. With one or more of the following characteristics:

l Lacking complete plumbing facilities for exclusive use.

. 1.01 or more persons per room.

. 11 specified renter-occupied housing units, gross rent is 30 percent or more of household income.

. :n specified owner-occupied housing units, the structure was built in 1939 or earlier and the value of the housing unit

below a &,OOO)

specified amount (ranging from $20,000 to depending on metropolitan status and Census

:eographic division.

!Vithout selected conditions. With none of the conditions described above.

Fiistorical comparzbilitv: Not tabulated in any previous census.

HOUSING UYIT. A house, apartment, mobile home or trailer, group ,,f rooms, or single room occupied as a separnte living quarter or, if vacant, intended for occupancy as a separate living quarter. Separate living quarters are those in which the occupants live and eat separately from any other persons in the building and which have direct access from the outside of the building or through a common hall.

The occupants may be a single family, one person living alone, tuo or znore families living together, or any other group of related or unrelated persons who share living arrangements (except as described in definition of Group Quarters, Persons In). For vacant units. the criteria of separateness and dirxt access are Gapplied to tile intended occupants whenever possible. If that information cannot be obtained, the criteria are applied to the previous occupants. 30th

248

occupied and vacant housing units are included in the housing unit inventory, except that recreational vehicles, boats, caves, tents, railroad cars, and the like are included only if tney are occupied as someone's usual place of residence. Vacant mobile homes are included provided they are intended for occupancy on the site where they stand. Vacant mobile homes on dealers' sales lots, at the factory, or in storage yards are excluded from the housing inventory. Housing unit status was determined on a complete-count basis.

Historical comparability: The first Census of Housing in 1940 established the "dwelling unit" concept. Although the term became "housing unit" and the definition has been modified slightly in each succeeding census, the 1980 definition is essentially comparable to previous censuses. In 1970, the definition of a housing unit stipulated the occupants to live and eat separately and to have either direct access or complete kitchen facilities. For 1980 direct access is required; the alternative of complete kitchen facilities has been dropped. In 1970 vacant mobile homes were not counted. In 1980 vacant mobile homes are included in the housing inventory if they are intended for occupancy where they stand. Also in 1970 units with 6 or more unrelated persons living together were classified as group quarters; for 1980 that requirement was raised to 10 or more unrelated persons.

See also: -- OCCUPANCY STATUS; TENURE; UNITS AT ADDRESS; UNITS 13 STHUCTURE; YEAH-ROUND HOUSING UNITS

INCO%lE DEFICIT. The arithmetic difference between the total income of a family or unrelated individual and the appropriate poverty threshold, calculated for families and unrelated individuals below the poverty level. The aggregate income deficit provides an estimate of the amount of money which would be required to raise the incomes of a11 poor families and unrelated individuals to their respective thresholds at the poverty level. This item was derived on a samp:e basis.

Historical comparability: Income Deficit was first ascertained in 1970.

See also: -- INCOME IN 1979; POVERTY STATUS IN 1979

INCOME IN 1979. Total money income received in calendar year 1979, ascertaizd on a sample basis for all persons 15 years old and over. Total income is the sum of amounts reported separately for income from wages and salaries; nonfarm self-employment, farm self- employment; interest, dividends, and net rental; Social Security; public assistance; and all other sources.

.-

249

The figures represent the amount of income received before deductions for personal income taxes, Social Security, bond purchases, uni 0" dues, medicare deductions, etc.

Receipts from the following sources were not included as income: mnoney received from the sale of property (unless the recipient was engaged in the business of selling such property, in which case, the net proceeds would be counted as income from self-employment); the value of income "in kind" such as free living quarters or food produced and consumed in the home; withdrawal of bank deposits; money borrowed; tax refunds; exchange of money between relatives living in the same household; and gifts and lump-sum inheritances, insurance pay!nents, and other types of lump-sum receipts. The seven specific types of income recorded are further defined under Income Type.

Income In 1979 is reported in several different combinations. Household Income In 1979 and Family Income In 1979 are defined separately in this glossary. When entitled "Income In 1979," the data refer to the money income of Persons 15 years old and over. (Where family members received income jointly, appropriate amounts were to be apportioned among specific household members.) Income in 1979 is also tabulated for "unrelated individuals 15 years old and over," i.e., persons not accounted for in family income tabulations. Where a measure of income is to be interrelated with occupation or other work force characteristics, income other than earnings is generally excluded. See Income Type -- "Earnings."

Income is tabulated in intervals, for example, less than S5.000; s5.000 to 37,499; $7,500 to $9,999 . ..%35.000 to $49,999; 350,000 or ,nol-e. The highest income interval to be oublished in reports is S50,OOO or more; on summary tape files the top interval is $75,000 or 7101’8. On census basic records incomes from each source are recorded in $10 intervals up to $100,000 and in S1.000 intervals from 5100,000 to 5999,000. Income amounts of Sl,OOO,OOO or nore are recorded as s999,500. \let losses up to $10,000 are also recorded in ton 40113.r intervals. Net losses of $10,000 or more are recorded as S-9995. High incomes are grouped together on public-use nicrodata, with "S75.000 or !TlOlT” as a single categorv, to avoid identification of individuals.

'viedian income. To avoid inconsistencies in aedian income figures for the same population as presented in different reports, all medians for family and household income in the 1980 censils are based on the same set of 17 categories available on summary tape files, regardless of the number of intervals shown in various printed tables. Thus, the median shown in a report is frequently more precise than one the user could compute from the intervals shown in the report. Pareto interpolation is used rather than linear interpolation when the width of the income interval is snore than $2,500.

For families and unrelated individuals, the median income is based on the distribution of the total number of families and unrelated individuals; whereas for persons, the medisn income is

250

. ..- based on the distribution of persons 15 years old and over with income.

When the median income falls in the terminal category of a distribution, the method of presentation in reports is to show the initial value of the terminal category followed by a plus sign; thus, for example, if the median income falls in the terminal category "$50,000 or more," it is shown as "$50,000 +" in reports or as "$50,001" on STF's.

Mean income. The mean income is the amount obtained by dividing the total income of a particular statistical universe (termed "aggregate income" in STF documentation) by the number of units in that universe. Thus, mean family income is obtained by dividing total family income by the total number of families. Mean income for persons is obtained by dividing the total income of persons (including patients or inmates in institutional quarters) by the number of persons with income. When the 111138" income for an area or population subgroup is a net loss, the dollar amount is shown preceded by a sinus sign (e.g., -3123).

-.

Care should be exercised in using and interpreting mean income values in the statistics for small subgroups of the population. Since the mean is strongly influenced by extreme values in the distribution, it is especially susceptible to the effects of sampling variability, misreporting, and processing errors. The median is not affected by extreme values and is, therefore, a better measure than the mean when the population base is small. The mean, nevertheless, is shown for most saall-area tabulations because, when weighted according to the number of cases, the neans can be added to obtain summary measures for areas and groups other than those shown.

Per capita income. Per capita income is G every man, woman, and child in a

the mean income computed particular group 1 :t is

derived by dividing the total income of a particular group by the total population (including patients or inmates in institutional quarters) in that group.

Limitations: Since questionnaire entries for income are frequently based on memory and not on records, many persons tend to forget minor Or irregular sources of income, and, therefore, underreport their income. In addition, there are errors of reporting due to misunderstanding of the income questions. One such error is the reporting of gross instead of net dollar amounts for the two questions on net self-employment income, which results in an overstatement of these items. Such instances of overreporting would have an impact on the level of mean nonfat or fsra self-employment income and rllean total income.

M*"y reporting errors are rectified through the coding and the computer editing procedures, with the result that consistency of reported income items with work experience, occupation, and class-of- worker information is improved. For example, if a person reported

that he .or she was self-employed on his or her own fsra, not incorporated, but had reported wage and salary earnings O"lY, the latter amount is shifted to net farn self-employment income. Another type of problem involves nonreporting of income. :Vhe re income information was not reported, editing and allocation procedures imputed appropriate values (either "none" or positive or negative dollar amounts) for the missing entries. These procedures rill be described in more detail in appendix D, "Accuracy of the Data," to reports in the PCSO-1-C and -D series.

The income data obtained In the 1980 census cover money income only. The fact that many far!" families receive an important part of their income in the form of "free" goods produced and consumed on the farm rather than in money should be taken into consideration in comparing the income of farm and nonfat residents. "lomoney income is also received by some "onfarm residents. Such income often takes the for% of business expense *cc0u*ts, me of business transportation and facilities, or partial compensation by business for medical 3"!1 educational expenses. Many low-income families also receive income "in kind" fro!" public welfare programs (e.g., food stamps).

Finally, in relating income to occupation, family size, housing costs, and most other characteristics, the user !nus t bear in mind that income figures refer to 1979 whereas other characteristics are as of the time of enumeration. generally April 1980. On the other hand, information is collected on work and unemployment in 1979, facilitating comparisons with income in 1979.

Comparability with income tax data. -- For several reasons, the incone data from the c=ns are not directly comparable with those which may be obtained from statistical summaries of i *come tax returns. Income, as defined for tax purposes, differs somewhat from the 3ureau of the Census concept.

Moreover, the coverage of income tax statistics is different because of the exemptions of persons having small amounts of incone and the inclusion of net capital gains in tax returns. Furthermore, members of some fanilies file separate returns and others file joint returns; consequently, the income reporting unit is not consistently either a family OT a person.

Comparability with Social Security Administration earnings record data. The earn= from the census are not directly comparable with sings records of the Social Security Administration. The earnings data for 1979 exclude the earnings of most civilian government employees, some employees of nonprofit organizations, workers covered by the Railroad Retirement Act, and persons not covered by the program because of insufficient earnings. Furthermore, earnings received from any one employer in excess of $22,900 in 1979 are not covered by earnings records. Finally, since census data are obtained from household questionnaires, they differ from Social Security Administration earnings record data, which are based upon employers' reports and the Federal income tax returns of self-employed persons.

Comparability - with Bureau of Economic Analysis income series. The .- --- -- Bureau of Economic Analysis (BEA) of the Department of Commerce publishes annual data on aggregate and per capita personal income received by the population for each State **Cl selected standard metropolitan statistical *reas. 4ggregate income estimntes based on the income statistics shown in the 1980 census ,rould be different from (and generally less than) those shown in the BEA income series for several reasons. The Bureau of the Census data are obtained directly from households, whereas the BEA income series is estimated largely on the basis of data from administrative records of business and governmental sources. Moreover, the definitions of income are different. The BEA census income series includes some items not included in the census income data, such as income "in kind," income received by nonprofit institutions, the value of services of banks and other financial intermediaries rendered to persons without the assessment of specific charges, ,medicare payments, and the income of persons aho died or emigrated prior to April 1, 1980. On the other hand, the census income data include contributions for support received from persons not residing in the same household and enplovee contributions for Social Security.

Historical comparability: Data on income last year have been collected in each census since 1940. Income questions were asked in essentially the sane way in 1970 as in 1380, except that the separation of interest, dividends and net rental income from Other sources is new for 1980 (possibly leading to more complete reporting of income from these sources). Another new feature W*S the instruction that the respondent should add up the income figures from the various sources and report total income on a separate line on the form. This feature was to help respondents avoid counting the sane income in more than one category and encourage recall of income fro," other sources. The 1980 census obtained income for persons 15 years old and over; the 1970 universe also included 14-year-olds.

Income intervals reported i3 1980 publications concentrate on htizher dollar amount.5 than did their 1970 counterparts, reflecting inflation. In comparing income data for 1979 .with earlier years, ic should be noted that an in--ease or decrease in money incone does not necessarily represent a comparable change in real income, unless adjustaent for changes in prices is nade. The ratio of the average Consumer Price Index in 1979 to the corresponding figure in 1969 is 1.98, and this is the factor used in converting 1969 median and mean income figures in current dollars to constant 1979 dollars for comparison with 1979 median and mean income figures.

See also: FAMILY INCOME IN 1979; ROUSEHOLD INCOHE IV 1979; I\ICOVE =E;xZRTY STATUS

IUCOHE OF FAMILY IN 1979. See F4tiILY IKOME IV 1979 -- - --

IXCOME OF HOUSEWLD IN 1979. ' See HOUSE:I:)LD IVCOW I“I 1979 - ---

I?ICOYE TYPE. Classification of income in 1979 by the source from .- which itwas received, ascertained on a sample basis for all persons

15 yes*5 old 1379 for types rzfunds).

Earnings. emnloymsnt

and over with income. Tee the definition of Income In of receipts which are not counted as income (e.g., tan

The sum of wage or salary income and net self- income from nonfarm and farm sources. Earnings 3r'4 -

those sources of 1 ncoae most sppropristely Interrelatec w~tn labor force characteristics such as hours and weeks worked in 1979 or occupation.

* 01‘ salary income. Total money earnings received for work performed as an employee calendar year 1979. It includi: w~%~s,t~~?ar~"'~~~ fiiz 4rmed Forces, commissions, tips, piece-rate payments, and cash bonuses earned. Sick leave pay is included. Reilnbursement for business expenses and payment " i n kind" (for example, food, and lodging received as payment for work gerformed) are excluded.

"lonfarm self-employment income. vet money income (gross receipts minus business expenses) received from 3" unincorporated nonfarm business, professional enterprise, or partnership in which the person was engsged on his or her own 3ccount. Gross receipts include the value of all goods sold and services rendered. Susiness expenses include cost of goods purchased, rent, heat, light, power, depreciation charges, wages and salaries paid, business taxes (not personal income taxes), etc. The so-called "salary" tilat some owners of unincorporated businesses pay themselves is included here. On the other hand, income received for working for an incorporated business, even though the person !%3.y ~3wl the business, is counted under wage or 591,3.ry income.

Farm self-employment income. Net aoney inCOfllf3 (gross receipts minus operating expenses) received from t.7 e operation of an unincorporated farm by a person on his own sccount, as an owner, rentei, or sharecropper. i;*OSS

receipts include the value of all products sold, governmental subsidies, money received from the rental of farm equipment to others, and incidental receipts from the sale of wood, sand, gravel, etc. Operating expenses include the cost of fuel, fertilizer, seed, and other farming supplies, cash wages farmhands, depreciation charges, cash rent,

paid to Interest on fnn mortgages, farm

building repairs, farm taxes (not Federal, State, and lOCF3.l

income taxes), etc. The value of fuel, food, and other farm products used for family living is not included as part of net income.

Income other than earni=. Interest, dividends, royalties, or -- net rentalincome. Xoney received or credited to Y person's account ils interest from sources such as notes, bonds, deposits in banks and savings and loan associations, credit Iunions, and

254

posted savings certificates; payments made by corporations and mutual funds to stockholders (excluding profits or losses from the sale of stocks); net royalties such as income from oil, gas, and other mineral rights; from patents, copyrights on literary works, trademarks, formulas; and net rental income received from the rental of property or real estate or from roomers or boarders.

Social Security income. Cash receipts of Social Security pensions, survivors' benefits, permanent disability insurance payments, and special benefit payments made by the Social Security Administration (under the national old-age, survivors, disability, and health insurance programs) before deductions of health insurance premiums. "Hedicars" reimbursements 3re not included nor are payments under the Supplemental Security Income program. Cash receipts of retirement, disability, and survivors' benefit pay-nent; made by the U.S. Government under the FLailroad Retirement Act are also included.

Public assistance income. Cash receipts of payments made under the following public assistance programs: aid to families with dependent children, old-age assistance, general assistance, aid to the blind, and sid to the permanently and totally disabled. These pay,nents fire generally labeled "Supplementary Security Income" and, while usually received from the Federal government, mav also be received from State or local governments. Separate payments received for hospital or other medical care are excluded from this item.

Income from all other sources. Money income received from -- sources such as veteran's payments; public or private pensions; periodic receipts from insurance policies or snnuities; unemployment insurance benefits; workmen's compensation cash benefits; periodic payments from esL:%t% and trust funds; alimony or child support from persons ,*!lo 818 not members of the household; receipts for foster child care; net gambling gains; nonservice scholarships and fellowships; and money received for transportation and/or subsistence by persons participating in special governmental training programs. e.g., under the Comprehensive Employment and Training Act or Work Incentive Program; and periodic contributions from persons outside the household, e.g., voluntary allotment checks sent by Armed Forces personnel to relatives not living with them.

In most reports, data on income type are limited to (1) the number of households or families with income of 8 specified type and (2) the mean income of the specified type for the applicable households or families (i.e., aggregate income of the snecified type received by persons in households or families divided by the number of households or families with that type of income). In income type tabulations, a household or family may be counted more than once, i.e. for each type

255

of income received, although the dollar amounts of income are counted only once. In one detailed tabulation in PCBO-l-D, frequency counts are provided for income intervals as 'well as a mean for each type. %urther, mean total income is provided in addition to mean income of specified ty w for households, families, and unrelated individuals with income of the specified type. The ratio of those two mean; will sugaes t the degree to which, for instance, families receiving Social Security income may also have other major sources of income.

Census basic records show income in $10 intervals for each type of income up to $100,000, except that amounts of $10,000 or more 3re coded as $9,995 for Social Security or public assistance income. Income amounts of $100,000 to $999,000 are recorded in 51.000 intervals. Income amounts of $l,OOO,OOO or more are recorded as s999,500. Net losses up to $10,000 are recorded in $10 intervals for nonfarm or farm self-employment income and interest, dividend and net rental income but are not allowed for other income types. Lo.sscs Of Slr),OOO or more are coded as S-9995. High incomes of each type are grouped together on public-use microdata, with "$75,000 or more" as a single category, to avoid the identification of individuals.

Limitstions: See the discussion under Income In 1979.

Historical comparability: See the discussion under Income In 1979.

IXDUSTRY. The kind of business or industrial activity in which the person was employed during the reference week or, if not employed, in which the person WAS most recently employed since 1975. Persons working at more than one job were instructed to describe t!xe one at which they worked the most hours during the reference week. If the employer was engaged in more than one activity, the respondent Jl3S

instructed to describe only the major activity at the place or facility where the person worked. Industry is most frequently tabulated for employed persons 16 years old and over, less often for the experienced civilian labor force, which includes both employe:? and experienced unemployed persons 16 years old and over. Industry data were also collected but are not tabulated for persons not currently in the labor force who have worked since 1975. Industry data are collected on a sample basis.

Responses were coded to one of 231 industry categories by specially trained industry and occupation coders in census processing offices. Ltost large companies were included on a Company Name List (CNL) developed from the Census Bureau economic censuses. If the company entered in question 283 was found on the CNL, the coder assigned the industry code given by the CNL. If the company could not be found on the CNL, the coder used the industry description on 2Sb and 28~ to determine the industry code. Only the code, i.e., none of the written-in information, is retained on census basic records and public-use microdata. Census industry categories ar.2 fully defined in the Classified Index of Industries and Occupations, PHCSO-R'3. persons .rrishing to use the census system in codi?ig other data h:as es tma y use the Alphabetical Index of Industries and Occupations, PHCSO- 94. Hajor industry categories and important subdivisions are 353

follows:

256

Agriculture, forestry and fisheries Xining Construction Yanufacturing

Nondurable goods Durable goods

Transportation, communications, and other public utilities Wholesale trade Retail trade Finance, insurance, and real estate Business and repair services Personal services Entertainment and recreation services Professional and related services

Bealth services Educational services Other professional and related services

Public Administration

Relation to Standard Industrial Classification. The Standard Industrial Classification (SIC) system was developed under the sponsorship of the Office of Yanagement and Budget, and subsequently under the Office of Federal Statistical Policy and Standards, and is designed for the classification of establishments by the type of industrial activity in which they are engaged. One of the major purposes of the SIC is to promote uniformity and comparability in the presentation of statistical data collected by various agencies. Accordingly, in the census of population, the industry categories are defined in these terms. However, population census data, which are collected from households, differ in nature and detail from those obtained from business establishments. Therefore, the 1980 census classification system does not reflect the full SIC detail in all categories. However, the census of population is one of the few sources of industrial data that incllldes all industries.

In addition to such classification differences, cens'us latn may differ from other industrial data for the following reasons: the dates to which the data refer may not be the same; workers ,who live in one geographic area and work in another would be reported at their place of residence by the census but at their place of work in other surveys; and dual jobholders may be counted in the reports of two establishments but counted in the census for only their major job. Many other sources for industrial data cover private employees but exclude self-employed and government workers.

Relation & certain occupation groups. Although some occupation groups are closely related to certain industries, the industry categories are broad and include occupations other than those concentrated in that industry. For example, persons employed in agriculture include truck drivers and bookkeepers in addition to farm workers; persons employed in the trsnsportation industry include mechanics and secretaries in addition to transport oper.atives; :ind persons employed in the private household industry include occupations such as chauffeur, gardener, and secretary.

257

Yistorital comparability: There was no iildustry question from 1970.

change in wording of the 4 version of this question was asked in

1320 sn:i 1;340, and consistently since 1910.

The 1970 industry categories were based on the 19f37 Standard Industrial Classification (SIC) system. The 1980 classification reflects some significant changes made in the 1972 SIC manual and some minor technical adjustments nade in 1977. One important change was in the census classification of public administration which was subdivided by level of government in the 1970 census, but for 1980 is classified by its primary economic activity. For example, as a result of an SIC change, the 1980 detailed tabulations include such categories as executive and legislative offices; justice, public order, and safety; and public finance, taxation and monetary policy. In 19RO most employees of governmental social service agencies are classified under social services rather than Iunder public sd!ninistration (although they are still classified as employees of d ,government under Class of Yorker).

Yore information on changes in industrial classification will be shown in later 1980 census reports. In the study of earlier data it may also be useful to refer to Technical Paper X0. 26: "1970 Occupation and Industry Classification Systems in Terms of Their 1960 9ccupation and Industry Elements."

%!ore detailed changes in industrial classification are highlighted in charts in the Standard Industrial Classification Manual, __ 1972. Reference materials on the relationship of 1970 and 1'380 industry classifications are being preparsd. For more information, contact Population Division, Bureau of the Census.

See also: -- CLASS OF WORKER; LABOR FORCE STATUS; OCCUPATION

IMAT? x IVSTITUTION. See GROUP QUARTERS, PERSONS 1'4

I\ISIJR.WCE FOR PROPERTY, FIHE, AND HAZARD. \IOYT'lLY -

- See %WER COSTS, SSLECTGD

KITCHEN FACILITIES. Presence of kitchen facilities in occupied and vacant housing units. This item was asked on a sample basis.

Complete kitchen facilities. Units with all three of the following: an installed sink with piped water, a range or cookstove (excluding portable cooking equipment), and a nechanical refrigerator (excluding ice boxes). 411 kitchen facilities must be located in the building or structure, but they need not all be in the same room.

& complete kitchen facilities. Units lacking one or nore of the equipment items cited above, although they may have some equipment for preparing food.

Historical comparability: The 1940 and 1950 censuses asked about the Presence of a refrigerator and, in 1950, a kitchen sink, and the 19fiO

258

census added cooking facilities. The separate items were combined into one item on complete kitchen facilities in 1970, which differentiated between kitchen facilities used by this household only and those also used by another household.

LAS94 FORCE STATUS. Persons 16 years old and over were classified as toeiratus in the labor force based on replies to several questions relating to work activity and status during the reference week. These items were asked on a sample basis.

Data on labor force status refer to the calendar week prior to the date on which respondents completed their questionnaires or were interviewed by enumerators. Since the week of enumeration was not the same for ail persons, the reference week for labor not entirely uniform. For many persons, however, the for answering the 1980 census employment questions was in Ifarch, 1980.

Labor force. Members of the Armed Forces and the -- force as defined below.

force data is reference week the last week

civilian labor

Armed Forces. Persons 16 years old and over on active duty in the Army, Air Force, Navy, Marine Corps and Coast Guard, (indicated in responses to the question on industry). Members of the merchant marine and civilian employees of the Department of Defense are not members of the Armed Forces. Service in a National Guard or reserve unit for short periods of active duty for training does not count as active duty in the Armed Forces.

Civilian labor force. -- Employed and unemployed civilians.

Employed. Civilians 16 years old and over who were either (a) "at work"--those who did any work at all as Paid employees or in their own business or profession, or on their own farm, or who worked 15 hours or inore as unpaid workers on a family farm or in a family business; or (b) "with a job but not at work"--those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Fxcluded from the employed are persons whose only activity consisted of work around the house or volunteer work for religious, charitable, and similar organizations.

Employed persons are sometimes further classified as full time or part time based on whether they worked 3.5 or more hours during the reference week. (See Mours Worked Last Week.)

Unemployed. Civilians 16 years old and over who were neither "at work" nor "with a job, but not at work" anti who were:

259

a) looking for work during the last 4 weeks, and b) available to accept a job.

Examples of jobseeking activities are: (1) registering at a public or private employment office, (2) meeting with prospective employers, (3) checking with friends or relatives, (4) placing or answering advertisements, (5) writing letters of application, and (6) being on a union or professional register.

Also included as unemployed are persons who did not work at all during the reference week and were waiting to be called back to a job from which they had been laid off.

The concept of experienced unemployed is discussed below under Experienced Civilian Labor Force.

Not in labor force. Persons 16 years old and over who are not classified as members of the labor force. This category consists mainly of students, housewives, retired workers, seasonal workers enumerated in an "off" season who were not looking for work, inmates of institutions, disabled persons, and persons doing only incidental unpaid family work (fewer than 15 hours during the reference week). 41~0 included are so called "discouraged workers" who do not have a job and have not been actively looking for work during the last four weeks. Inmates of institutions are occasionally presented as a subcategory within "not in labor force." Tasks performed by inmates of institutions are not considered "work" for the purposes of the census.

In addition to the above classification, the concept of Experienced Civilian Labor Force appears in certain detailed tabulations.

Experienced Civilian Labor Force. -- Employed persons and those unemployed persons who have worked at any time in the past, i.e., "experienced unemployed." (See Year Last Worked.) This concept serves as the universe for certain tabulations of occupation and industry where unemployed persons are to be included. (Occupation and industry data were not collected for persons who have never worked, or who have not worked since 1974.)

Comparability with data from other sources. ---- Because employment data from the census are obtained from respondents in households, they differ from statistics based on reports from individual business establishments, farm enterprises, and certain government programs. Persons employed at more than one job are counted only once in the census and are classified according to the job at which they worked the greatest number of hours during the reference week. In statistics based on reports from business and farm establishments, persons ,who work for more than one establishment may be counted more than once. Moreover, other series, unlike those presented here, 'llCl.y exclude private household workers, unpaid family workers, and self- employed persons, but may include workers less than 16 years of age.

260

Historical comnarabilltp: In 1940, 1950;and 1960, labor force dnts -'ere published for persons 14 years old and over. In 1970, most L-Sor

force data were for persons 16 years old and over to comply with the official Government definition of employed and unemployed instituted in 1967, although data on 14- and 15-year olds were furnished in 1970 to provide a comparability bridge with earlier censuses.

See also : HOURS WORKED LAST WEEK; INDUSTRY: OCCUPATION; LAROR FORCE _- STATUS IN 1979, YEAR LAST WORKED

LARUR FORCE STATUS IN 1979. A series of items identified persons who worked in 1979 by the number of weeks worked and the number of hours usually worked per week, and persons who were unemployed in 1979 by the number of weeks unemployed. These data, collected on a sample basis, are tabulated for persons 16 years old and over regardless of current labor force status.

In labor force in 1979. Ziy time iFi91979';- -

Persons 16 years old and over who, at worked (even for a few days), were looking

for work, or were on layoff from a job.

Worked in 1979. Persons who, at any time in 1973, did any workfor pay or profit (including paid vacation and sick leave) or worked without pay on a family farm or in a family business, or who were on active duty in the Armed Forces.

With unemalopment in 1979. Persons vho looked for work or were on layoff fr= ajob during at least one seek in 1979 in which they did not work. (Note that the question on unemployment in 1979 did not inquire whether the person was available to accept a job.)

Note that the number of persons who worked in 1979 and the number with unemplcyment in 1979 adds to more than the number of persons in the labor force in 1979. since many of the persons with unemployment also worked at one tine-or another in 1979.

Historical comnarability: The information on unemployment last year is new for 1980. Data on weeks of unemployment were last collected in the 1950 census. -

See also: -- ROURS WORKED PER WEEK IN 1979; UEEKS OF UNE:dPLOYMENT IN 1979; WEEKS WORKED IN 1979

LANGUAGE SPOKEN AT HOME. Persons who speak English at home we= asked to report the language

a language other than spoken, as well as

their proficiency English).

in English (see Language Usage And Ability To Speak This item was asked on a sample basis.

Respondents were instructed to report the language spoken most often, for persons speaking two or more non-English languages at home, or the first language learned, where the language~spoken most often could not be determined.

The write-in entries of the language spoken were coded in census .-. processing offices into 387 categories cbich are recorded on basic

records and public-use microdnta filf3s. include the following categories:

Tables in PC30-1-C reports English only, Chinese, French,

261. lo/a2

. .

Gel-?Xln, Greek, Italian, FhiliFpine lansEw3es, Polish, Spanish, other specified language, and unspecified language.

Data on languages spoken In the home are typically presented separately for persons 5 to 17 and 16 years old anti over. These data should not be interpreted as the number of people who are able to speak specified languages, since this question counts only persons who speak a language other than English at home.

The reported number of persons who speak .a language other than English at home may be inflated slightly by a processing 2l-I-Oi-. The total number of persons who speak a language other than English Is inflated by approximately 0.4 percent natlonvlde. There is some geographic' variation in the frequency of the errors, but no substantial s;stial clustering has been discovered. Subsequent data products (STF 4, STF 5) will correct these errors, and thus may disagree with the estimates Provided in STP.3.

Historical comoarability: These data on current language are noi comparable to quesricns asked in 1950 and 1970 on mother tongue, i.e., language other than English spoken in the person's borne *hen he or she was a child. In 1970, Spanish mother tongue was a major determinant in the classification of "persons of Spanish heritage."

See also: LANGUAGE USAGE :XD AEILITY TO SPEAK ENGLISH --

LANGUAGE USAGE AND ABILITY TO SPE.Ag ENGLISH. Persons 5 years old and over are classifiedhv wnetherthey soeak a language other than Englis' at home, and, If so, by how v&11*they speak English. Respoi?sh; fo. persons under 5 are not tabulated. This item 'Pas asked on a sample basis.

Soeak onlv Eoelish at hcmei -- Persons who al-says speak English at home. Includes persons zho may speak a language other tha;;

English at schcol or elsewhere, but not at home, and persons whose usage-of another language at home is limited to a few expressions or slang.

Sneak a language other than Ec$llsh at home. -- a language ozher than Emsh at

-- Persons who speak home, 2-J en if- English is

spoken ClOI-2 frequently than the other language. They arc further classified by level 02 English language ability:

Sneak Enelish verv well. speakingEnglish.

Persons who have no difficult)

Sneak Enclish 'Jell. Persons who have only minor p:oblems which do not seriously limit their ability to speak English.

English Speak not sell. Persons who are seriously limited in theirnbllity to speak English.

Sneak English not at all. ---

These data typically are presented separately for pernons 5 to 17 years old (school-age pOpUlatioB) and for Persons 18 years old and over, to aid the assessment of needs for bilingual education and other services.

10/82

Historical comparability: The question on current language spoken at home replaces a question asked in 1960 and 1970 on mother tongue, i.e., language other than English spoken in the person's home when he or she vas a child. In 1960, mother tongue was asked only of foreign-born persons. In 1970, mother tongue was asked of all Persons and vas a major determinant in the classification of "persons of Spanish heritage."

The focus on current language rather than mother tongue is a significant departure from previous censuses. The question on ability to speak English is being asked for the first time in 1980.

See also: LANGUAGE SPOKEN AT HOME --

LIVIRG QUARTERS. See GROUP QUARTERS, PERSONS IV; HOUSIYG UNITS

'IriLES. See FAMILY TYPE; SEX

HARIT4L HISTORY. Persons 15 years old and over rho had ever :&en married were asked whether they had been married more than once and, whether the first marriage ended because of the death of the person's spouse. Marital history is a construct which combines responses to these items with responses to the complete-count question on current marital status. The following items vere derived on a sample basis.

Persons - known & have been widowed. currently married orxorced

Widowed persons and those persons married more than once

whose first marriage vas terminated by the death of a spouse.

Persons known to have been divorced. -- Divorced persons and those currentlyxiz or widowed persons married more than once whose first marriage did not end in widowhood.

Persons known to have been widowed and divorced. ---- Widowed persons narried more than once whose first marriage did not end in vidovhood and divorced persons married more than once whose first aarriage ended in widowhood.

Persons narried only once and persons married more than once are also summarized in selected tabulations.

Historical comparability: A similar question was asked in 1970. Various questions on marital history have been asked since the 1550 census.

See also: -- AGE AT FIRST MARRIAGE; MARITAL STATUS

XXRITAL STATUS. All persons were asked whether they 'vere "now married," "widowed," "divorced," "separated," or "never married." Marital status data are tabulated only for persons 15 years old ,and older. This item was asked on a complete-count basis.

263

Couples who live together (unmarried persons, persons in common-law marriages, etc.) were allowed to report tile marital status they considered the most appropriate.

Single. All persons who have neYer been married, inclllding Dersons ,xhose only marriage was annulled.

Ever married . Persons married at the time of enumerstion. including those separated, plus widowed or divorced persons.

Now married, etcept separated. Persons whose current marriage has ended through widowhood, divorce, or separation (regardless of previous marital history). The category may also include couples who live together or persons in common-law marriages if they consider this category the most appropriate. In certain tabulations based Otl sample data, currently married persons are further classified as "spouse present" or "spouse absent." See below.

Separated. Persons legally separated or otherwise absent from their spouse because of marital discord. Included are persons who have been deserted or who have parted because they no longer want to live together but who have not obtained a divorce. Separated includes persons with a limited divorce.

Widowed. Widows and widowers who have not remarried.

Divorced. Includes persons who ars legally divorced and who have not remarried.

In selected sample tabulations, data for Imarried and separated persons are reorganized and combined with information on the presence of the spouse in the same household:

Yaw married. All persons whose current marriage has not ended hy vidowhood or divorce. Includes persons categorized as St?paT%ted above.

St3ouse present. Married persons ;uhose wife or husband was enumerated as a member of the s ame household, including those whose spouse may have been temporarily absent for such reasons as travel or hospitalization.

Spouse absent. Varried persons whose wife or husband was not enumerated as a member of the same household, and all married persons living in group quarters.

Separated. Defined above.

Spouse absent, other. Married persons whose spouse '03s not enumerated as a member of the same houseilold. excluding separated. Included are those 'whose spouse

264

was.employed and living away from home, absent in the Armed Forces, or a" inmate of a* institution.

Differences between the number of currently married males and the number of currently married females arise from the fact that some husbands and wives have their usual residence in different areas, and, in sample tabulations, from different weights applied to the data. A"Y differences between "now married, spouse present" males and females are due solely to sample weighting; by definition the numbers should be the same.

Historical COmQarSbility: The 1980 definition of "now married" is comparable to the definition of the term "married" as used in publications of data from prior censuses. For 1980. marital status is tabulated for persons 15 years old and older, a change from the period 1950-1970 when marital status was tabulated for persons 14 years old and over. 4 general marital status question has been asked in every census since 1880.

See also: -- XARITAL HISTORY; UNMARRIED COUPLES

ilEANS OF TRANSPORTATION TO WORK. - - -- SEE TRANSPORTATION TO WORK, MEANS OF

'lEDICAL OFPICE OR COMMERCIAL ESTABLISHMENT. See SELECl'FD LlONTHLY; GLUE

OWNER COSTS,

MIGRATION. SEE RESIDENCE IN 1975

XINOR CIVIL DIVISION m. suSdivision of a

A primary political and administrative county. HCD's are most frequently known as

townships, hut in some States they include towns, magisterial districts, and similar areas. A few counties have some territory not organized into MCD's; such "unorganized territory" is treated as one or more XCD's for census purposes.

MCD's are used for census purposes in 29 States (see figure 5, col-xnn 2). I" 20 of the remaining States, CCD's are used ig lieu of ICI) ' 5 ; in Alaska, census subareas are used. I" the District of Columbia, quadrants are used. In Puerto Rico, ciudades, QUeblOS, and barrios are used.

The Census Bureau has assigned each MCD, alphabetically sequenced within county, a" incremental, unique S-digit numeric code. I" addition, MCD's in 11 States (those noted in column 4 of figure 5) have a 4-digit "MCD sequence number" which allows MCD's to be sorted into alphabetical sequence within a State.

MCD boundaries are represented on all detailed census maps. In addition, MCD outlines appear on small-scale maps published in PC80- 1-A and -B and HC80-1-A reports and in conjunction with the PflCJO-2 series. There are about 26,000 MCD's recognized for the 1980 ce"jxs.

265

Statistics for all MCD's appear in STF',s IA, 28, 3A, and 4B, and in PCSO-1-A and -9 and X80-1-A reports. In 20 States (specified in column 3 of figure 5). W3"Y '(CD's serve as functioning general- purpose governments, and these active \ICD's are included in PHCSO-3 summa z-y Characteristics for Governmental --- Units and Standard Uetropolitan Statistical Areas. All MCD's in block-numbered areas of

--

these States are included in PHCSO-1 Slack Statistics microfiche series and STF 18. Finally, in 11 States (all 9 States in the NorT,ileast region, plus Michigan and Wisconsin), UCD data are published in a manner parallel to that of places of the same population size in tables of PCSO-1-B and -C and HCSO-1-A and -B. (See figure 5. column 4.)

Historical comparability: CCD's were used in Xorth Dakota in 1970, but for 1980 that State returned to the use of its townships. A number of ‘rICD's in other States have changed boundaries. Changes h-*-d!? resulted from municipal annexations, mergers or dissol,ltions .>f l.lCD ' s , and other causes. There are seven States where KD boundaries have changed substantially: .4rkansas, Louisiana, Uaryland. :!ississippi, Nebraska, Virginia, and West Virginia. UCD’s which have changed boundaries during 1970 to 1980 are noted in footnotes to table 4 of PCBO-1-A reports for States with MCD's.

MOBILE HOME OR TRAILER. See UNITS AT ADDRESS; UNITS IN STXICTLIRE --

MORTGAGE STATUS. The existence of a mortgage, deed Of trust, contract to purchase, or similar debt on the property. Land ~_ contracts, contrlcts for deed, and assumption agreements ar!? included. This item was ascertained for owner-occupied one-family houses on less than 10 acres, without a commercial establishment or medical office on the property. Mobile homes or trailers and condominium units were also excluded. This item was asked on a sample basis.

Selected monthly OUT!lC3l costs are usually reported separately for units with a mortgage and for units not mortgaged (i.e., owned free and clear) since housing costs are quite different for the t'qo qroups.

Historical comparability: This item is new for 1980.

See also: OWNER COSTS, SELECTED hiONTHLY --

MU~ICIPIO. See PUERTO RICO AND OUTLYING AREAS

NATIVITY AND PLACE OF BIRTH. The population is classified into "native" andforeign Grn" based on the State, foreign co11nt ry , Puerto Rico, or outlying area of the United States where the person's mother was living at the time the person was born (not the location of the hospital if in a different State in the United States). This item was asked on a sample basis.

Native population . Persons born in the United States, Puerto Rico, U.S. Virgin Islands, Guam, or other outlying area of tile United States; or at sea or in a foreign country if they have at

266

least One American parent (determined from the citizenship question). In certain presentations, this population is further classified as born in State of residence; born in different State (this category may be further broken down by region of birth); and born abroad, at sea, etc., of American parents.

Foreign-born population. All persons not classified as native.

Historical comparability-: The for'mat of the place-of-birth question was changed from 1970 so that the instruction to print the State where the person's mother was living at the time the person was born is highlighted so that respondents would not report the location of the hospital if in a different State from the mother's usual residence.

See also: COUNTRY OF BIRTH; STATE OF BIRTH --

~EIIc;HBORHOr)D. For purposes of the Census 3ure:au's Yeighborhood Statistics Program, a neighborhood is a locally defined subarea of a locality. Neighborhoods must have official recognition, nonoverlapping boundaries, and a mechanism through which neighborhood residents may present their views on municipal matters.

Historical comparability: Such neighborhoods have not been recognized in past censuses.

RONFARM, RURAL. See FARM RESIDENCE

!4ONRELATIVE. See HOUSEHOLD RELATIONSHIP

OCCIJPANCY STATUS. The classification of all housing units as either occupied or vacant. This item was determined on a complete-count basis.

Occupied. A housing unit occupied as the usual place of residence of a person or group of Persons living in it at the time of enumeration, or by occupants only temporarily absent such as on vacation. 4 household consists of all the persons XhO

occupy a housing unit as their usual place of residence. If all the persons staying in the unit at the time of enumeration have their usual place of residence elsewhere, the unit is classified as vacant. Complete count figures on households and occupied housing units should match--although sample estimates of households and occupied housing units may differ because of weighting.

Vacant. A housing unit with no one living in it at the time of enumeration, unless its occupants are only temporarily absent. If, at the time of enumeration, the unit is temporarily occupied solely by persons who have a usual residence elsewhere, it is also classified as vacant.

New units not yet occupied are classified as vacant housing units if construction has reached a point where all exterior windows and doors are installed and final usable floors are in place.

267

Vacant units are excluded if open to the elaments; that is, if the roof, walls, windows, or doors no longer protect the interior from the elements, or if there is positive evidence (such as a sign on the house or in the block) that the unit is to be demolished or is condemned. Also excluded are quarters being used entirely for nonresidential purposes, such as a store or an office, or quarters used for the storage of business supplies or inventory, machinery, or agricultural products.

Historical comparability: Similar data have been collected since 1940.


OCCUPATION. The kind of work the person was loing at P job or business during the reference week or, if not at work, at the nest reclent job or business if employed since 1975. Persons ;vorking at 'lore than one job were instructed to describe the one ;a. t which t:1e person worked the most hours during the reference week. Occupation is most frequently tabulated for employed persons 16 YC?i%l-S old and over, and less often for the experienced civilian labor force, which includes both employed and experienced unemployed 16 years old and over. Occupation data were also collected but are not tabulated for persons not currently in the labor force who have worked since 1975. Dccupation is not determined for persons in the Armed Forces. These data were collected on a sample basis.

The write-in responses to questions 29a and 29b were taken together to assign the respondent to one of 503 occupation categories, coded by specially trained industry and occupation coders in census processing offices. Only the code, i.e., non9 of the written-i" information, is retained on census basic records and public-use microdata. Census occupation categories are fJlllY defined in the Classified Index of Industries and Occupations, PHCSO-R3. (Persons -xishing to use the census system rcoding other data bases nay 11se the Alphabetical Index of Industries and Occupations, PHCdO-R1.) -- -

Relation E Standard Occupational Classification. The 503 occupation categories generally are based on the Standard Occupational Classification (SOC) system, originally issued in 1977 by the Office of Federal Statistical Policy and Standards and revised in 1980. One Of the major purposes Of the sot is to promote uniformity and comparability in the presentation of occupational data collected bv various agencies. Public-use microdata documentation and Other references will define the relationship between the 3-digit census codes and the revised 4-digit SOC codes.

Summary and major occupation categories are as follows:

Xansgerial and professional specialty occupations: Executive, administrative, and managerial occupations Professional specialty occupations

Technical, sales, and administrative support occupations:

268

Technicians and related support occupations Sales occupations Administrative support occupations, including clerical

Service occupations: Private household occupations Protective service occupations Service occupations, except protective and household

Farming, forestry, and fishing occupations

Precision production, craft, and repair occupations

Operators, fabricators, and laborers: Machine operators, assemblers, and inspectors Transportation and material moving occupations Handlers, equipment cleaners, helpers, and laborers

These are the categories included in STF 3 and Census Tracts report;. -- tiore detailed tabulations present subcategories witilin these basic groups. In the most detailed tabulations, some categories represent subdivisions of an occupation on the basis of industry or class of worker.

Historical comparability: Occupation has been asked in each census since lS50. The 1980 occupation question differs from its 1970 counterpart primarily by omitting a request for the respondent's job title. Qecxuse this information sometimes proved misleading, it wss dropped for 1980.

The major difference in occupation data for 1971) and 1980 Stems from the adaptation of census occupation coding to the new Standard Occupational Classification system, first issued in 1977. vlhile many of the broad categories observed in the, 1980 sc!leme have been designed to offer a general measure of compatibility with many 1970 categories, the principles governing the classification and many cf the detailed categories have been altered substantially. Reference ,nat'srials on the relationships of 1970 and 1980 occupat inn classifications 32-e being prepared. For more information, contact Population Division, Rureau of the Census.

See also: CLASS OF WORKER; INDUSTRY; LABOR FORCE STATUS --

OUE-FA%ILY HOMES. See UNITS IN STRUCTURE

ONE-PERSON HOUSEHOLDS. See HOUSEHOLD, PERSONS IN

ONE-UNIT STRUCTURES. See UNITS IN STRUCTURE

OTHER RACES. See RACE --

OUTLYING ARE-AS. See PUERTO RICO MD OUTLYING AKgAS --

3VEKCHOdDING. See PERSONS PER ROOM

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(NVER COSTS, SELECTED \4ONTHLY. The sum of payments for real estate r*xes, fire and hazard insurance, utilities, fuels. and mort52ge. These data are tabulated for "specified owner-occupied" units, i.e., one-family houses on less than 10 acres without a commercial establishment or medical office on the property. The data exclude owner-occupied condominiums, mobile homes, and trailers.

Only selected monthly owner costs are included, since payments for maintenance and repair are excluded. Selected monthly owner costs are presented in tabulations comparable to those for gross rent since they are both measures of shelter costs ) albeit for different universes.

The components of selected monthly owner costs are payments for the following items, 111 asked on .a sample basis:

Renl estate taxes. The total amount of all real estate t:l:<5s - -- - payable on the entire property (land and buildings) 13st year. It includes State, local, and all other real estate taxer even if delinquent, unpaid, or paid by someone outside the household. Taxes are reported even if included in the mortgage payment. Not covered are payments on delinquent taxes due from earlier years.

Fire and hazard insurance. The annual hazardinsurance on the property; that is,

premium for fire and nolicies ,#hich protect

the property and its contents against loss due to damage by fire, lightning, winds, hail, explosion, etc. Liability policies 3re included only if they are paid with fire and hazard premiums and the amounts for fire and hazard cannot be separated. Premiums are included even if paid by someone outside the household or remain unpaid.

Mortgages. The regular monthly amount (both principal and interest) required by the lender on mortgages (including sscond 3P junior mortgages), deed of trust, or si:nilzr debt '313 t'ls property; or payments on a contract to purchase the property. Amounts are included even if the payments are delinquent ,or pail by someone else. The amount includes everything paid to the lender or lenders, regardless of what is included. Sepzrxte parts of the question determine whether taxes and insurance are included in the payment to the lender so that it is possible to avoid counting these components twice in the computation of monthly owner costs.

Utilities and fuel. See the discussion under Energy Costs, Monthly Resident=

In the computation of selected monthly owner costs, annual figures for taxes, insurance, water and fuels (items where annual figures 3rD usually more readily available than monthly figures) are divided by

12 to yield monthly figures.

270

Selected monthly owner costs are tabulated in a varying number of categories. Data are generally presented separately for units with a >nortgage and units not mortgaged (i.e., owned free and clear) since the distribution of housing costs is quite different for the two groups. Sasic record tapes preserve the dollar amounts Eor each of the component figures collected (e.g., mortga.ge payments. water payments). Public-use microdata samples also show dollar amounts, for components as well as tot31 selected monthly owner costs, although the amounts for real estate taxes and insurance premiums are combined into a single figure.

Selected Monthly Owner Costs As Percentage of Income. The ratio of --- selected monthly owner costs to household income in 1979) converted to percentage form. The data are tabulated for "specified owner- occupied" units, i.e., one-family houses on less than 10 3cres without a commercial establishment or medical office on the property. The data exclude owner-occupied condominiums, mobile homes, and trailers.

Data are shown in terms of the number of housing units in categories such as "less than 20 percent," "20 to 24 percent," "25 to 34 percent," and "35 percent or more;" the data are generally cross- classified by household income. Units occupied by households reporting no income or a net loss are included in the "not computed" category. This item was computed on a sample basis.

Limitations: Utility and fuel costs are frequently overestimated by respondents.

Historical comparability: None of the components of selected monthly owner costs have been collected in previous censuses. (Iltility and fuel costs were collected in 1970, but only for renters.)

OWNER-OCCUPIED HOUSING UNITS. See TENURE

OWqER/REXTSR STATUS. See TENURE

P4CIFIC ISLANDER POPULATION. See RACE

PARISH (in Louisiana). See COUNTY

PASSENGER ELEVATOR. See ZLEVATOR IN STRUCTURE

PERSON IN COLUMX 1. See HOUSEHOLD RELATIONSHIP -

PERSONS IN HOUSEHOLD. The number of persons living in the housing unit. .Ali-occupants are counted--not just those related to the householder, but also any lodgers, roomers, hoarders, partners, wards, foster children, and resident employees who share the living quarters.

Figures for "persons in household" match those for "persons in unit" in tabulations based on complete-count data. In ssmple tabulations,

271

they may differ because of the weighting PI-OCC?SS. The phrase "persons in household" is used for population tabulations, "persons in unit" for housing items. "One-person households" and "persons living alone" are sy"onyTlous.

PERSONS IN UNIT. See PERSONS IV F1OUSEHOLD --

PZKSONS PER ROOM. -- 4 derived measure obtained by dividing the "umber of Persons in each occupied housing unit by the number of rooms in the unit. The figures shown refer, therefore, to the number of housing units having the specified ratio of persons rJe= room. For example, the "umber of units with 1.01 or more persons per room is the "umber of units occupied by more persons than there are separate rooms. This item was derived on a complete-count basis.

See also: ROOMS --

M. 4 concentration of population which may 3r cnay not have legally prescribed limits, powers, or functions. Most of the places

identified in the 1980 census are incorporated as cities, towns, villages, or boroughs. In addition, census designated places (called "unincorporated places" in earlier censuses) are delineated for 19RO census tabulations. There are about 23,000 places recorded in the 1980 census. Places do not cross State boundaries.

Incorporated place. A political unit incorporated as a city, borough (excluding Alaska and New York), (excluding

village, or town the New England States, New York, and Wisconsin). In

most States, incorporated places are subdivisions of the MCD or CCD in which they are located; for example, a village located lvi t h in and legally part of a township. In some States, incorporated places are independent of surrounding townshiPs or towns and therefore are also treated as VCD's. I" a few states, the pattern is inixed. .4lmost 4,000 incorporated places cross XCDJCCD and/or county boundaries.

There are about 20,000 incorporated places recognized in the 1980 census.

Census designated densely settled population center

placzef;;D;l. A without legally corporate limits or corporate

oowe PS or functions. with a dense,

Each CDP has a definite residential nucleus city-type street pattern, and ideally should have

a" overall population density of at least 1,000 persons per square mile. In addition, a CDP is a community that can be identified locally by place name. Boundaries of CDP's are drawn by the Census Bureau. in cooperation with State and local agencies, to include, insofar .3S possible, all the closely settled area. In the 1980 census, statistics are tabulated for each CDP with 5,000 inhabitants or more if located in .a" urbanized area (UA) with a central city of SO,000 or more iand for each CDP of 1,000 inhabitants or more if in a 5TA with no central city of 50,000 or more. Some CDP's--notably in the Xorthesst-- coincide with MCD's. In STF's, these are treated as both places

272

and MCD's, but in printed reports they are show" only in WD tables to avoid duplication. Outside of UA's, statistics are tabulated in 48 States and Puerto Rico for CDP's of 1,000 or more, in Hawaii for CDP's of 300 or more, and in Alaska for CDP's of 25 or more.

There are approximately 3,400 CDP's recognized in the 1980 census.

Incorporated place and CDP boundaries are shown on all detailed census maps. For tracted areas, boundaries of all places are shown 0* census tract outline maps. County subdivision maps, at a still smaller scale, also show boundaries for places.

A 4-digit numeric code is assigned by the Census Bureau to each place in alphabetic sequence within State. "Place description" codes ,uill also generally accompany place records. These codes indicate whether a place is incorporated, as well as represent certain other information about the place.

Data are summarized for all places in STF's 1A and 3A, and PC80-l-.4 reports. For places with 1,000 or more inhabitants, data are summarized in STF 28, and PCBO-1-B and HCSO-1-A reports. For places with 2.500 or more, data are summarized in STF 4B, PCSO-l-C, and HCBO-1-B reports. In PHC80-3 reports, data are given for all incorporated places. In PYC80-2 Census Tracts reports and STF's 2A and 4A, summaries are presented only for places with 10,000 or more inhabitants located in tracted areas. Very detailed data are presented for all places which are central cities of SWA's in PCSO- 1-D reports, and places with 50,000 or more inhabitants in HC80-2 reports . STF 5 also provides detailed data for places of 50,000 or m0?.-0.

The files and reports which sequence geographic units in hierarchical fashion must account for the fact that places nay cross t:he boundaries of counties, Y&CD's, and CCD's. therefore, provide

Such reports and tapes. summaries for the various parts of places created

when places are split by the boundaries of higher level areas recognized in the hierarchy. Specifically, place parts within county and ?KD or CCD are presetxed in STF 1A and 3A, and PCSO-1-A reports. Place parts within county and MCD are presented for 20 specified States and Puerto Bico 'in STF 18 and PHC80-1 Block Statistics microfiche reports, but the PHCBO-1 reports include only places which have data collected for blocks. In the remaining 30 States, STF 13 and PHC80-1 reports subdivide places when split by county boundaries, but do not observe MCD or CCD boundaries.

Bistorical comparability: Sixty-eight percent of all incorporated places of 2,500 or more made changes in their boundaries between 1970 and January 1, 1980, which is the reference date for boundaries in the 1980 census. In the 1970 census, ED boundaries were draw" S:I as to allow a user to aggregate 1970 data for each city OF 2,000 or '"ore inhabitants according to 1960 boundaries. There will not 'be a corresponding capability in the 1980 census.

In the 1970 and earlier censuses, CDP's 'were referred to as "unincorporated places." The name W3.S changed to make it ?1ore explicit that such places are defined for census purposes, and to avoiJ confusion in States where imany "unincorporated places" are parts of incorporsted towns or townships. Vsny COP's have been redefined since 1971). Incorporated places which we=,? newly incorporated or which changed boundaries between 1970 and 1980 ar:? listed in footnotes to table 4 of PCBO-1-A reports.

PLACE OF WORK. - -- The geographic location of the plant, office, store, or other establishment where the person worked most last. week (see the discussion of reference week under Labor Force Status), ascertained for persons at work last week, including both civilian employed and Armed Forces at work, and tabulated for persons 16 years old and over. These data were obtained on a sample basis.

If the person worked at aore than one location f,ot the same employer (such as a grocery store chain or public school system), the exact address of the location or branch where the respondent ;xorked most last yveek was requested. Persons working at more tilan one job gel-? asked to report the location of the job at which they worked the greatest number of hours during the census week. Salespersons, delivery persons, and others who worked in several places each week were requested to give the address at which they began work each day, if they reported to a central headquarters. For cases in which daily work was not begun at a central place each day, the person was asked to report the exact address of the place where he or she worked the most hours last week.

Xesgonses were coded in census Processing offices but <only for a sample of approximately one-half of the long-form questionnaires (a cost-saving measure). All entries were assigned codes which define the work location in terms of State, county, olace of 2,500 or nor? (1,000 or '"ore in Alaska and Hawaii) as estimated prior to the cens.115, or in the Northeast region, ninor civil division. Cnr residents of S:ISA' s, place of <work was coded further to tract und block (if in a blocked area) if the place of nor4 'was aithin the 'same S:ISA or multi-S?,@A commutershed.

Place-of-work tabulations vary considerably from one Publication series to another. PC80-1-C reports furnish data for each of the following categories:

All workers Place of work reported

Worked in area of residence Worked outside area of residence Percent of those reporting place of work

Place of work not reported

In these tabulations, the place of work is shown in terms of whether or not it is within the "area of resilience," the definition of vhizh varies ,with the geographic summary level. For instance, if a given column in a table presents data for a county, the place of work lines

274

indicate the number of county residents who work inside and outside that county.

Census Tracts (PHC80-2) reports present up to 20 place-of-,work categories for SXSA's, SMSA counties, places of 10,000 or .more in ShlSA'S, and census tracts as illustrated in the following list:

Inside S:XSA Omaha, Nebr. central business district Remainder of Omaha city, Nebr. Remainder of Douglas County, Nebr. Bellevue city, Nebr. Remainder of Sarpy County, Nebr. Council Bluffs city, Iowa Carter Lake city, Iowa Remainder of Pottawattamie County, Iowa

Outside SXSA Lincoln city, Nebr. Remainder of Lancaster County, Nebr. Cass County, Vebr. Fremont city, Nebr. Remainder of Dodge County, Nebr. Washington County, Nebr. Vills County, Iowa Elsewhere

Place of work not reported

up to 20 separate work locations are recognized in these PYC80-2 tabulations and on STF 4. The same 20 locations are used throughout each SMSA, but they vary from SXSA to SMSA and from county to county in nonmetropolitan areas.

Special tabulations can be prepared at user expense which make use of the additional detail available on census basic records. F3,r instance, tabulations can be generated which show commuter flows by origin and destination in terms of census tracts within a give" s '.lS : OP multi-S?iSA commutershed. Characteristics of workers by place of work can also be tsbulated.

Public-use microdata "A" and "B" samples report place of work in the same terms as place of residence, i.e., States and "county groups" with 100,000 or more inhabitants. Within large SMSA's, individual counties and places over 100,000 are frequently identified as county groups making possible some analysis of commuting patterns by commuter characteristics. The "C" sample identifies place of work in central cities and in places in four size categories.

Limitations: It should be noted that place-of-work tabulations do not necessarily give the total number of persons who work in the specified area, only those who also reside within the axa summarized. In the above example, the "umber reported as working in the central business district would not include workers who commute frm outside the S!KSA being summarized.

275

Since Place of iVork was coded only for a sample of one-half of all long-form questionnaires, along with Residence in 1975 and Travel Time to Work, Ft required an estimation scheme which differed from that Iused for fgll-sample items. 4s a consequence, the estimated aumber of workers 16 and over 35 derived from place-of-work tabulations Will differ somewhat from the corresponding figure derived from tabulations of Means of Transportation to Work, a full- sample item. Further, any cross-tabulation of place of work by other items is necessarily based only on the half-sample.

Historical comparability: Place of work was asked first in 1960, when the inquiry was limited to the State, county, and city of work. In 1970, the question took on its current form, requesting the soecific street address and ZIP code. 4 higher percentage of csses was successfully coded to tract and block of work in 1980 than in 1970, due to improvements in coding materials.

Data on place of work t.%bulated for inside and outsMe the ar?a ,of residence, as discussed above, are new for 1980.

See also: TRANSPORTATION TO WORK, MEANS OF; TRAVEL TIME TO WORK --

PLU~laxxG FACILITIES. Presence of toilet facilities, bathing facilities, and piped water, ascertained for occupied and vacant housing units. This item was asked on a complete-count basis.

Complete plumbing for exclusive use. ---- Piped hot and cold water, a flush toilet, and a bat'ltub or shower for exclusive use by household members. 411 facilities must be in the living quarters, but need not be in the same room. Yot water need not be available continuously. 4 privy or chemical toilet is not counted as a flush toilet. 4 bathtub or shower is counted only if it is connected to piped running water.

Lacking complete plumbing for exclusive use:

Complete plllmbing facilities, but also used -- by another tiouse'hold. All facilities presenTbut aith some or all of the plumbing facilities also regularly used by someone ,rrho is not a member of the household. This category also applies if the future occupants of living quarters now vacant would be expected to share the facilities.

Some but not all plumbing facilities. Units with one or two ---- but not all three of these: hot and cold piped water, flush toilet, and bathtub or shower.

No plllmbing facilities. -

Historical comparzhility: Data on plumbing fucilittes havp bes?n collected since 1940. In 1970, there were separate questions ,~n presence of hot and cold running water, a flush toilet, and a bnthtllb or shower. The questions were combined in 1980. In 1980 complete

276

facilities must not only be in the building, as in 1970, but also inside the housing unit.

See also: BATHROOMS; WATER, SOURCE OF --

P3VEKTY STATUS E 1979. Families and unrelated individuals are classified as above orlow the poverty level by comparing their total 1979 income to a" income cutoff or "poverty threshold." The income cutoffs vary by family size, number of children, and age of the family householder or unrelated individual. Poverty status is determined for all families (and, by implication, all family members). Poverty status is also determined for persons not in families, except for inmates of institutions, members of the Armed Forces living in barracks, college students living in dormitories, and unrelated individuals under 15 years old. Poverty status is derived on a sample basis.

The 1980 census definition of poverty reflects revisions recommended by a Federal interagency committee in 1979 to a definition adopted in 1969. The index is based on the Department of Agriculture's 1961 Economy Food Plan and reflects the different consumption requirements Of families based on their size and composition. It was determined from the Department of Agriculture's 1955 survey of food consumption that families .of three or more persons spend approximately one-third of their income on food; the poverty level for these families was, therefore, set at three times the cost of the economy food plan. For smaller families and persons living alone, the cost of the economy food plan was multiplied by factors that were slightly higher in order to compensate for the relatively larger fixed expenses of these smaller households. The poverty thresholds are updated every year to reflect changes in the Consumer Price Index (CPI). Cutoffs for 1979 income used in poverty statistics in the 1980 census are presented below. As a" example, the poverty threshold for a family of four with two related children under 18 can be found in the chart below to be $7,356 in 1979.

t PramI (MlaU Wl.layl~ . . -r 65 ,-m . . . . . . . . . . . . . . . . . ‘i% . M mn ud ovur . . . . . . . . . . . . . . 1.w

2 p- . . . . . . . . . . . . . . . . . . . . . . . . bra1d.r - 65 yw” . . . . .

2%

Luaoar61-am... bh , crry ........................ b p- ........................ I Prmau ........................ 6 p- ........................ 7 C”am ........................ 6 mrsona ........................ 9 pva R on ................

Poverty thresholds are computed on a national basis only. Yo attempt has been made to adjust these thresholds for regional, State, or ,other 1~31 vsriations in the cost of living.

The poverty status of a person who is a family member is determined by the family income and its relationship to the appropriate poverty threshold for that family. The poverty status of an unrelated individual is determined by his or her own income in relation to the appropriate poverty threshold. Thus, two unrelated individuals living together may not have the same poverty status.

households below the poverty level are defined as households in which the total income of the family or the householder of a nonfamily household is below the poverty level. The incomes of persons in the household other than members of the family or other than t :I e householder in a nonfamily household are not taken into account when determining poverty status of a household.

Because the poverty levels currently in use by the Federal Government do not meet all the needs of the analysts of the data, variations of the poverty definition are available in terms of various multiples of the official poverty levels. The one most frequently tabulated is 125 percent of the poverty level, where a family or person may have up to 25 percent more income than normally allowed under the povC?I-tS; threshold appropriate for the family size, etc.

Below poverty level ("poor"). Families or persons whose total fy income or unrelated individual income in 1979 was less than the poverty threshold specified for the applicable family size, age of householder, and number of related children under 13 present. In certain tabulations, this group is f!urther subdivided into those .rrith income "below 75 percent of poverty level" and "between 75 and 99 percent of poverty level."

Above poverty level ("nonpoor"). Families or persons .xhose total family income or unrelated individual income in 1979 'was eqllal to Or greater than the poverty threshold specified for the applicable family size, etc. In certain tabulations, this zr3llp is further subdivided into those with income "between 100 and 124 percent of poverty level," "between 125 and 149 percent of poverty level," "between 150 and 174 percent of poverty level," "between 175 and 199 percent of poverty level," and "200 percent of poverty level and above."

Limitations: The team "poverty" connotes a complex set of economic, social, and psychological conditions. The standard statistical definition provides only estimates of economic poverty based on the receipt of money income before taxes. Excluded from the income concept is a measure of the benefits derived from the receipt of in- kind government transfers. such as food stamps, medicaid, ,and publi.; housing; private transfers such as health insurnnce pre!niums paid by employers; the value of the'services obtained from the ownershi of assets, such as owner-occupied housing units; and the receipt of money from the sale of property, withdrawal of bank deposits, :gifts

270

and money borrowed. A comprehensive review of the current poverty definition and its limitations can be found in The Measure -- SIC Poverty, U.S. Department of Health, Education, andelfare, lpril 1978. See also the discussion of limitations under Income In 1979.

Ristorical comparability: Poverty statistics were first included in a decennial census in 1370. Prior to 1980 the poverty thresholds did not distinguish among families with 7, 8, and 9 or more persons; on the other hand, the cutoffs were further differentiated by the sex of the family head or unrelated individual and by farm/nonfarm residence. In the 1970 census, the thresholds for farm residents were set at 85 percent of the thresholds for nonfarm residents. 1979 income thresholds used in the 1980 census represent a weighted average of the nonfarm thresholds used in the past male headed and female headed families. The elimination of the 85-percent threshold for farm families increased the farm population classified as poor by about 174,000 persons or about one-fifth nationwide. The net effect of all three changes on the total number of poor persons is to increase it approximately 380,000 or 1.5 percent.

Since the poverty income cutoffs have been adjusted each year for changes in the CPI, and since the overall impact of the definitional changes is minimal, 1980 census poverty figures for the total and nonfarm population should be reasonably comparable to the 1970 poverty figures. However, because of the definitional changes cited, comparisons involving the farm population should be made with caution.

See also: INCOME DEFICIT --

PRECINCT. See ELECTION PRECINCT

PRICE ASKED. See VALUE --

PRIVATE VEHICLE OCCUPANCY. SEE VEHICLE CCClJPA"ICY

PROPERTY IYSURANCE. See OWNER COSTS, SELECTED MONTHLY

PUBLIC SEWER FACILITIES. See SEWAGE DISPOSAL

PUBLIC TRANSPORTATION DISABILITY. SEE DISABILITY

PUBLIC WATER SUPPLY. See WATER, SOURCE OF

?UERTO RICO AND OUTLYIWG AREAS. In addition to the United States, the decennial census covers the Commonwealth of PUerto RiC3 and the outlying areas, including .American Samoa, Guam, the Trust Territory of the Pacific Islands (including the Northern Mariana Islands which were legally part of the Trust Territory in 1980), the U.S. Virgin Islands, and certain other small islands over which the United States exercises sovereignty or jurisdiction. <Questionnaire design and the questions asked were developed for Puerto Rico and each outlying area to accommodate local conditions. In the case of some small .or military-occupied islands, enumerations were not conducted; only

279

population counts obtained from U.S. Government records are Published.

The geographic subareas for which statistics are reported vary. Some

?f those noted below are defined in this glossary ; others will be .defined in 1980 census reports for the areas.

American Samoa: villages, district subdivisions, districts, and islands.

Guam : census designated places and election districts.

Yorthern Mariana Islands and the remainder of the Trust Territory of the Pacific Islands: census designated places, municipal districts, municipalities and islands, and administrative districts.

Puerto Rico: blocks; ED's and BG's; census tracts and hl~ock numbering areas; zonas urbanas and aldeas; subbarrios; barrios, ciudades, and pueblos; municipios; and SWA's and SCSA's.

Virgin Islands: places, census subdistricts, and islands.

Other islands: no subdivisions.

Data for Puerto Rico and its subdivisions ,will appear in reports and tapes in generally the same pattern as for States and their subdivisions. Data for outlying areas will appear in 1980 Census of Population, Volume 1, and 1980 Census of Mousing, Volume 1. reports, and on STF's 1 and 3.

Yistorical comparsbilitx: The Canal gone was not inclilded in the 1930 census because it was no longer under U.S. jurisdiction.

RACE. 411 persons wore asked to identify themselves according to the following race categories on the 1980 questionnaire: White, Qlack OK- Yegro, American Indian, Eskimo, Aleut, Japanese, Chinese, Filipino, Torean, Asian Indian, Vietnamese, Yawaiian, Guamani,an, Saman, a ” d Other. The "Other" category includes 'Ialayan, Polynesian, Thai, and other groups not included in the specific categories listed on t Yl?e questionnaire. This item was asked on a complete-count basis.

The concept of race as used by the Census bureau reflects self- identification by respondents; it does not denote any clear-cut scientific definition of biological stock. Since the 1980 census obtained information on race through self-identification, the data represent self-classification by people according to the race with which they identify themselves. For persons with parents of different races who could not provide a single response to the race question, the race of the person's mother was used; however, if a single response could not be provided for the person's mother, the first race reoorted by the person was used.

counts of the population by race in complete-count tabulations are provisional. Final counts for race will be determined after the sample data have been processed. The sample counts will first appear on tape on STF 3 and in print in Characteristics of the Population, General Social and ticononic Characteristics (PCSOX-C!Feports. -

Limited edit and review operations were performed during the complete-count operations; write-in responses were reviewed in an attempt to classify entries to specific categories, where appropriate. For instance, if the "Other" circle was marked with a write-in entry "Caucasian," then the response was recoded as White. (Additional examples are noted below.) However, all such cases were not identified in the complete-count processing. During the processing of sample questionnaires, a IllOlP thorough review and additional editing was done to resolve inconsistent i)r incomplete responses. Also, during the processing of sample q'uestionnaires, write-in entries for the "Other" category were assigned specific codes, which is included on the person's basic record in the censils sample detailed tape files.

Asian and Pacific Islander write-in entries, such as Indo-Chinese, Cambodian, or Polynesian, included in the "Other" category during loo-percent processing, are collectively tabulated and shown as "Other Asian and Pacific Islander" in the census sample tabulations; this group, "Other Asian and Pacific Islanders," will be included in the broader Asian and Pacific Islander category in all sample tabulations by race. This shift of "Other Asian and Pacific Islander" entries out of the "Other races" category in sample tabulations and the recoding of write-in entries in the "Other" category to specific categories where appropriate Will affect the comparability between complete-count and sample data for some groups.

White. Persons who indicated their race as White, as well as persons who did not classify themselves in one of the specific race categories listed on the questionnaire but entered a response such as Canadian, German, Italian. Lebanese, or Polish. (Persons who did not classify themselves in one of the specified race categories but wrote in entries such as Cuban, Puerto Rican, Sexican, or Dominican were included in the "Other races" category; in the 1970 census most of these persons were included in the "White" category.)

Black. Persons who indicated their race as Black or Negro, as well as persons who did not classify themselves in one of the specific race categories, but reported entries such as Black Puerto Rican, Haitian, Jamaican, Nigerian, or West Indian.

American Indian, Eskimo, and Aleut: --

American Indian . Persons who indicated their race as "Indian (American)" or who did not indicate a specific race category but reported the name of an Indian tribe.

281

Eskimo. Persons who indicated their race as "Eskimo."

Aleut. Persons who indicated their race as "Aleut."

Asian and Pacific Islander . In complete-count tabulations, includes a-of the groups listed below except "Other Asian and Pacific Islander." In sample tabulations, it includes all of the groups listed below.

Japanese. Persons who indicated their race as Japanese, as well as persons who did not classify themselves in one of the specific race categories, but entered a response such as Nipponese or Japanese American.

Chinese. Persons who indicated their race as Chinese, as well as persons ,who did not classify themselves in one of the specific race categories, but reported entries such as Cantonese, Formosan, Tairanese, or Tibetan.

Filipino. Persons who indicated their race as Filipino, as well as persons who did not classify themselves in one of the specific race categories, but entered a response such as Filipino American or Philippine.

Korean. Persons ;vho indicated their race as Korean, as well as persons who did not classify themselves in one of the specific race categories, but reported a response such as Korean American.

Asian Indian . Persons who indicated their race as Asian Indian, as well as persons who did not classify themselves in one of the specific race categories, but reported entries such as Bengali, Bharati, Dravidian, East Indian, Goanese, Hindu Indic, Kashmiri, or South Asian.

Vietnamese. Persons who indicated their race as Vietnamese, as well as persons 'who did not classify themselves in one of the specific race categories, but reported a response such as Vietnam.

Hawaiian. Persons who indicated their race as Hawaiian. In the State of Yawaii, al1 persons who reported "Part- Hawaiian" were included in this category.

Guamanian. Persons who indicated their race as Guamanian, as well as persons who did not classify themselves in one of the race categories, but reported an entry such as Chamorro or Guam.

Samoan. Persons who indicated their race as Samoan, as well as persons who did not classify themselves in one of the specific race categories, but entered a response such as American Samoan or Western Samoan.

Other Asian and Pacific Islander. - - persons who reported Cambodian,

In sample tabulations only, Hmong. Indo-Chinese, Laotian, Pakistani, Polynesian, Fiji Islander, Tahitian, Thai, or similar responses. Census basic records include codes for over 50 separate race group s within this category. In complete-count tabulations, this group is part of the "Other races" category below.

Other (Race n.e.c. "not elsewhere classified"). Includes all other races (except "Other Asian and Pacific Islander" groups) which were not included in the specific categories listed on the questionnaire. For example, persons reporting in the "Other" race category and providing write-in entries such as Eurasian, Cosmopolitan, Inter-racial, or a Spanish origin group (e.g., Mexican, Cuban, or Puerto Rican) were included in Race, n.e.c. Other Asian and Pacific Islanders are included in the "Other" category in lOO-percent tabulations. Persons who did not report a specific race but wrote American:'

entries such as "Uexican," "Cuban," "South "Chicano," or "La Raza" remained in the "Other

races" category for complete-count tabulations, and in the "Race, n.e.c." category for sample tabulations. (STF 3, STF 4, and public-use microdata samples separately identify, as a subcategory within "Race. n.e.c.," persons who wrote in an entry implying Spanish origin. Such entries are not necessarily consistent with responses in the Spanish origin question.)

In a few tables in which data for American Indian, Eskimo, Aleut, and Asian and Pacific Islander are not presented separately, the "Other" category encompasses all race categories not shown separately.

In some tabulations, the "Other" or "Race, n.e.c." category is omitted to save space; data for this category are derivable by subtracting the sum of the specified race categories from the total.

In certain printed tables, where space is limited, data for persons of Spanish origin are presented alongside data for up to four major l-3CCS groups. In such situations, users should not be misled by the. proximity of these two types of data. Spanish origin is not a race category, and persons of Spanish origin *a7 be of an7 race. Tabulations in a number of sources present data separately for race categories (e.g., White, Black, and "Other") for persons not of Spanish origin. In addition, the number of Spanish-origin persons is given by race.

Limitations: In previous censuses, undercoverage of the population has been associated with race. The 1970 census missed Blacks at 2 much higher rate than Whites. The Bureau has not prt?pZ.rWl undercoverage rates for races other than White or Black, because vital records and other sources of relevant statistics do not consistently distinguish among other races.

283

Historical comparability: Questions on "race" or "color" have been asked in each census since 1790. In 1970, when persons <with of different races were in doubt 8s to their classification,

DSrefltS the race

of the father was used. In 19B0, the rtce of the mother was used for persons W!l" could not provide a single response. The 1970 category '"Negro or Black" has been retitled "Black or Negro. 0' Individual c.ttegories for Vietnamese, Asian Indian, Guamanian, and Samoan have been added. In 1970, the categories Eskimo and Aleut appeared onl!i "0 questionnaires used in Alaska; they were replaced by Hawaiian and Korean in all other States. In 1980, all four categories appeared on the questionnaire. As a result of the additions, the 1980 questionnaire had 14 specific i-ace categories instead of 8 a.s in 1970.

In 1970, persons %who did not report a specific race but 'wrote in Hispanic categories such as "Mexican," "Puerto Rican," or "Cuban" in the rzce question were assigned to White; for 19BO these persons remain in the "Other races* category.

See also: -- ANCESTRY; RACE OF HOUSEMOLDER; SPANISH ORIGIN

RACE OF HOUSEHOLDER. In all househxds,

cases where occupied housing units, or families are classified by race, the race of the

householder, i.e., the person in column 1, is used (see Household Relationship for the definition of Rouseholder). This item w3s determined on a complete-count basis.

Since some households include persons of more than one race, there ~-. may be minor differences in counts by i-ace between (1) tabulations of "families by family size" or "households by persons in unit" 'where 311 3ers"ns regardless of their race are tallied according to tile r3ce Of householder and (2) tabulations of "persons in families" or "persons in households" where all persons sre counted according to their own race.

Bistorical comparability: Prior to 1980, the concept of 11r3.ce of household head" was used instead of race of householder. (See tile historical comparability for Rousehold Relationship.) This change should not substantively affect the comparability of these dats.

REAL ESTATE TAXES. See OWNER COSTS, SELECTED UONTHLY

REGION (Census Geographic). 4 large group of States ,#hich is a first-order subdivision of the United States for census purposes. The four regions--Northeast, North Central, South, and West--am delineated in figure 6. Regions are identified by a l-digit code. Statistics for them appear in U.S. Summary reports in almost evei-y Dublication series, and in STF's lC, 2C, 3C, and 4C. The censlls R?gi.“flS kave no relationship to the 10 Standard Federnl Administrative Regions.

RELATED CHILJREX. See HOUSEHOLD RELATIONSRIP

284

RENTAL VACANCY RATE. The number of v*c*nt units for rent 3s 3 percent of the tozrental inventory--that is, all renter-occupied units and 311 year-round vacant units for rent. Vacant units thrrt are seasonal or held off the market are excluded.


RENT, CONTRACT. The monthly rent agreed to, or contracted for, regardless of any furnishings, utilities, or services that say be included. Rent is shown for occupied units rented for cash and vacant units for rent. For vacant units, rent is the amount for the

asked unit at the time of enumeration, and is sometimes labeled

"rent asked." Contract rent is tabulated for "specified renter- occupied" units, which excludes one-family houses on 10 acres or more. Respondents were to report rent only for the housing unit enumerated and to exclude any rent paid for additional units or for business premises. The rent amount for the unit is to be reported even if paid for by someone outside the household, or for solne reason, not paid. Respondents who do not pay rent ,nonthly are to

asked convert the sum to 3 monthly average. In the computation of

aggregate and aean rent, $35 is taken as the average of the interval "less than $50," and $550 is taken as the average of the interval "$500 or more." This item was asked on a complete-count basis.

No cash rent. Rent31 units occupied without payment of cash rent. Thext may be owned by friends or relatives *ah" live elsewhere and who allow occupancy without charge. Rent-free houses or apartments may be provided to compensate caretakers, ministers, tenant farmers, sharecroppers, or others.

Historical comparability: Similar data have been collected since 1930 (although the first full housing census did not occur until 1910). ?.ent intervals reported have gone to higher dollar figures in recent decades. The 1970 question on rent had a top category of $300 Or more; it also listed fewer rent intervals than the 1980 question. Constant dollar comparisons, 1979 to 1980. ar~3 not prepared.

See also: RENT, GROSS --

RFNTERS. See TENURE

REUT, GROSS. Contract rent plus the estimated average monthly cost of utilities (water, electricity, gas) and fuels (oil, C"31, kerosene, wood, etc.) to the extent that these are paid for by the renter (or paid for by a relative, welfare agency, or friend) in addition to the rent. Gross rent is calculated for "specified renter-occupied" housing units, which excludes one-family houses on 10 *a-es or mops. Gross rent is sometimes preferred to contract rent in comparing costs since c""tract rent may or m*y not include utilities.

While public-use microdats show gross rent in dollar amounts (up to Sl,OOO), the data are not that precise. One reason is that the basic component, contract rent. is reported by the respondent in terns of

intervals. To calculate gross rent, the respondent report is converted to a dollar amount by taking the midpoint of the interval; for example, $55 is used for the interval "$50 to 359" ($35 is taken 3s the value for "less than $50"; $550 is taken as the value for "3300 or more"). To that figure is added the reported average monthly cost of electricity and gas, and one-twelfth of the reported yearly cost of water and fuels. Gross rent dats *i-e typically tabulated in the same intervals as are used for contract rent. A unit classified as "no cash rent" in contract rent is also classified that way in gross rent, even if the unit's occupants P*Y for utilities themselves. Gross rent is calculated on a sample basis.

Gross rent 3s 3 percentage of income. The ratio of gross rent to ---- household income in 1979, c=verted to percentage form, reported for "specified renter-occupied" units, which excludes one-family holnes on 10 aci-es or more. Oat* 31‘4 reported as medians and in terms of the number of units in categories such as "less than '20 percent, ' "20 to 24 percent," "25 to 34 percent," and "35 percent "7. more"' ~ , and these figures are typically cross-classified with household income. No-cash-rent units and units occupied by households reporting no income or a net loss are assigned to a "not computed" category. This item was computed on a sample basis.

Limitations: In addition to the effect of using interval midpoints, noted above, gross rent data are affected by the tendency of respondents to overstate utility costs.

Historical comparability: Gross rent data have been derived since 1940. I" 1970, gross rent figures were somewhat more precise since exact dollar figures were available for contract rent. Also, in reporting a rent-to-income relationship, gross rent was computed as a percentage of family or primary individual income, not household income.

See also: ENERGY COSTS, 'JONTHLY RESIDENTIAL; REYT, CONTRACT --

RESI'JEXCE z 1975. The usual place of residence 5 years before the census (i.e., "-April 1, 1975). was asked on 3 sample basis of persons 5 years old or over. If residence was not in "this house" in 1975, the location was recorded in terms of State, county, and city, "1 foreign country. The same rules for usual place of residence apply to 1975 as to 1980. Persons such as college students "I' military personnel were to report the actual residence rather than the legal residence, if different. Residence in 1975 is used in conjunction with residence in 1980 to determine the residential mobility of the population.

Same house. All persons 5 years old and over who did not move rluringthe5 years, plus persons Wh" moved, but by 19RO had returned to their 1975 residence.

Different house in the United States. Persons who lived in the United States on April 1, 1975, in a different house from the one

286

they occupied on April 1, 1980. This includes persons rho lived in the same building, but a different apartment, or in the s*me mobile home but in a different location.

Same county . Persons who lived in a different house in the Same county in 1975.

!IIf;;;;nt county. Persons who lived in a different county .

Same State. --

Different State. This population is frequently subdivided by region of 1975 residence.

Abroad. Persons with residence in a foreign country, Puerto Rico or an outlying *rea of the United States in 1975, including Armed Forces stationed overseas.

Certain tabulations (for example, in Census Tracts reports) subdivide the different-house-in-the-United States category in a different way: central city of this SMSA, balance of this SMSA, and outside this SMSA.

Write-in responses were coded in census processing offices for a sample of approximately one-half of all long-form questionnaires (a cost-saving measure). For persons in the United States in 1975. census basic records specify the State, and county, and the city. town, or village (if residence was inside the incorporated limits). In the Northeast region, minor civil division of previous residence is also included on census basic records. For persons abroad in 1975, the basic records specify the country or outlying *I‘s*. Public-use microdata I' A I' and "B" samples show residence in 1975 Ian the same terns as they show 1980 residence, that is, States, SJ!SA'S, selected places and county groups with 100,000 or more inhabitants. This makes possible the tabulation of a full origin-destination martrix of migration flows. The "C" sample shows residence in 197.5 in terms of regions, divisions and selected States.

Subject reports are planned ~to cross-tabulate State of residence in 1975 with State of residence in 1980.

Certain tabulations present data on residence in 1975 separately for persons who were in the Armed Forces or in college in 1975 or 1980 so that their movements can be discounted in assessing migration trends.

The number of persons living in a different house in 1975 is less than the total number of changes in residence during the 5-ye*r period. Some persons in the same house at the two dates had moved during the j-year period but by the time of enumeration had returned to their 1975 residence. Other persons *who were living in a different house had made two or more intermediate moves.

287

Limitations: Since Residence In 1975 was coded for only a half- sample of the long-form questionnaires, rather than the full sample, an7 cross-tabulation involving residence in 1975 (e.g., by aye) will yield estimates which differ somewhat from figures derived from the full sample or the complete count. For example, the estimated number of persons 5 years old and over derivable fro!" residence-in-1375 tabulations rill not be exactly the s*me as found in other age tabulations.

Historical comparability: Similar questions on residence 5 years earlier were asked in 1940, 1960, and 1970. The mobility question in 1950 applied to residence one year earlier. Prior to 1980, publications included the category Moved. Residence Not Reported. In 1980, allocations have been made for nonresponse.

See also: NATIVITY AND PLACE OF DIRTY; YEAR MOVED I!JTO UNIT --

RESIDENTIAL ENERGY COSTS. See ENERGY WSTS, UOYTHLY RESI1ENTIAL

RO()?IS. The number of whole rooms intended for living purposes, not only in occupied housing units, but also in vacant units. These rooms include living rooms, dining rooms, kitchens, bedrooms, finished recreation rooms, enclosed porches suitable for year-round use, and lodger's POomS. Excluded are strip or pullman kitchens, bathrooms, open porches, balconies, foyers, halls, half-rooms, utility rooms, unfinished attics or basements, or other space used for storage. A partially divided room, such as a dinette next to a kitchen or living room, is a separate room only if there is a partition from floor to ceiling, but not if the partition consists solely of shelves or cabinets. This item 'aas asked on a complete- count basis.

In the computation of aggregate and mean rooms, 10 is taken as the average of the interval "9 or more rooms."

Historical comparability: Similar dat,a have been collcted since

1340.

See also: BAT'iROO~~S; -- BEDROOMS; PERSONS PER ROOM

RURAL. See URBAN AND RURAL (Population)

RURAL FARM See FARM RESIDENCE --

RURAL NONPAR"r(. See FARY RESIDENCE

SALE PRICE ASKED. See VALUE ---

SCHOOL ENROLLMENT. Persons 3 years old or over are classified as enrolled in school if they attended regular school or college at any time s Fnce February 1, 1980. This question was asked on a sample basis.

SC?lOO?iCZ included. .A 5 indicated on ihe questionnalro and in 13s rr.~ct.lons to respondents, “regular school or college” incl~ld5s

nursery S~bOOl, kindergarten, elementary school and sc~oolicg which l?a-'s to 3 high school diploma or collt?ge ,de-,ree. Attendance can be either by day or night, full time or part time, to be counted as regular schooling. Enrollmen; in 3 trade or business school, company training, or tutoring was counted if the course woul,i be accepted for credit at a rogulsr elementary school, high school, or college.

Schooling excluded. Persons were excluded from the enrollment figures if tne only schools they bad been attending at *ny .time since February 1, 1980, vrere not "regular" (unless courses taken at such schools could have been counted for credit at a r%plxr school). Schools regarded as not "regular" may include nursery schools which simply provide custodial d*? care ; specialized vocational, trade, or business schools outside the "regular" systm, such as television repair schools, barber's colleges, or typist's trsining schools; on-the-j&b trnlnlng; and correspondence courses.

Historical __ comnarsbilitv: Questions on schooling have beenincluded since 1930, although the time reference varied until 1950 when February 1 to the time of enumeration 7a.s adopted as the referecce

.I period. 'lost tabulations of school enrollment in 1970 were restricted to persons 3 to 34 years old, *hereas most 1980 tsbulatiocs do not have an upper age lisit.

See also: SCXOOL LSVSL; SCHOOL ?Y?S; SCROOL YZARS COM?LETS:D --

ScA;I30L LEVZL. Persons 3 .years old and over enrolled in regular school (see School Enrollment) are classified according to the level and year of school in which they vere enrolled. This information was collected on the sample questionnaire by means of a quesxion which asked for the highest grade or year attended.

Ressondents were instructed to repor: if It

the highest grade attended even was not completed. Persons still in school 'were to ;nar!< the

grsde in which they were currently enrolled. Schooling received in ungraded schools was to be reported as the equivalent grade in the regular Merican school system.

Nursery school. A school organized .t0 provide educational experlsnces for chillren during the year or yesrs preceding kindergarten. Children i.n "Read Start" or similar programs xere to be reported in nursery or kindergarten as appropriate; if the respondent v*s uncertain as to the level of the Read Start Program, nursery school was to be marked.

Kindergarten. An organized educational program the year before first g:zde.

Zlementary school. Includes grades 1 through 8, identified separately in some tabulations. (Persons enrolled in a junior

high school or middle school 2re classified as e3r?lled in elenenzlry school or high school accordiog ~3 yezir in which enrolled.)

Hizh ~~5001. -

Includes grades 9 r5roug5 12, identified separa-,?iy 112 some taouia~ions.

college. Junior or community colieges, rogu:lr ?-year colleges, and graduate or professional sccool;. includes ; tklrougi: 7 academic years and 8 years or more, 12?3ZiI‘i?d separzzeiy 53 s33e tabulations.

Entries on highest grade attended were edited for consistency viz5 age. For insCaLnce, entries indicating college a ttecdzcce for persoecs under 13 years old vere edir.ed out. _

Historical comoarsbility: Nursery school first appeared as a category in 1370. An item on vocational training which was included in the 1970 census, was deleted in 1980. Por 1980 as compared to 1970, there was ao incresse in the number-of-years-of-college categories, from "6 or more" to "8 or more."

See also: Sc11OOL ENROLL!.iENT; SCHOOL TYPE; SCHOOL YEA% COMPLETED --

SCXOOL TV?-,. Persons 3 years old and over enrolled in regular school (see School Enrollment) are classified according to whether they are attending public. Drivaie church-related, or orher private schools.

"'This iniorzarion is collecTed on a sample basis. In using the ., publicjprivate school disTincTion for college enrollment, some

caution should be exercised since there is evidence that in some Parts of the cowtry, t>e classification of individual schools map not be enTire clear and census daxa may differ considerably from administrative figures.

. Public. Any school or college which is controlled and supported primarily by a local, counry, State, or Federal government.

Church related. - A nonpublic school or college which is coor;rolled and supported primarily by a religious organization, e.g., a parochial school. (Respondents were not instructed how to distinguish private church-related from private, cot CbUi-Ch-

related schools.)

Other orivate. A nonpublic school or college controlled or supported primarily by private groups other than reli-;ious organizations; such as private nursery schools and nonreligious elementary schools.

Historical com~arsbility: Similar to a question asked in 1970, bux with the following wording modifications: the 1970 questionnaire category "Yes, public" W&S changed to "yes, public school, public college"; "yes, parochial" was changed to "yes, private, c’curch- related"; and "yes, other private" was changed to "yes, private. not church-related."

See also: SCHOOL ENROLLMENT; SCHOOL LEVEL --

SCHOOL Y?.xIS CONPLETED. Data on years of school completed are derived from two questions, one identifying the highest grade

-nn (1 ,en

attended in regular school (see School Enrollment); the second determining whether the respondent finished the grade specified. These data were collected on a sample basis.

Those persons who passed a high school equivalency examination (such as GED) were marked "12" under the highest grade attended (if they had not completed or were not enrolled in a higher grade). Schooling received in foreign schools was to be reported as the equivalent grade or year in the regular American school system.

The number tabulated in each category of years of school completed includes (a) persons who reported that they had attended the indicated grade and had finished it, (b) those who had attended but did not complete the next higher grade and (c) those still attending the next higher grade. Most tabulations of years of school completed are restricted to persons 25 years old and over, although SOme

include persons 18 to 24 years old. Tabulations include persons in school as well as those who have completed their schooling. 4 typic%1 way of reporting years of school completed is as follows:

Elementary: 0 to 4 years 5 to 7 years 8 years

High School: 1 to 3 yesrs 4 years

College: 1 to 3 years 4 or more years

High school graduates. Persons high

who have completed 4 years of school (grade 12) or any higher level of education.

Therefore, to obtain 8 count of high school graduates from the breakdown illustrated above, the categories "High years, 1'

school: 4 "College: 1 to 3 years," and "College: 4 or more years"

are to be ridded together.

Median school vetlrs completed. Calculated as divides

the value which the population in half. Years-of-school-completed

statistics *re converted into a continuous series: the first year of high school becomes grade 9, the first year of college, grade 13, etc. Persons who have completed B given year 31-e assumed to be evenly distributed from .O to .9 of the year. FOX-

example, persons rho have completed the 12th grade are assumed to be evenly distributed between 12.0 and 12.9. Note that this assumption is different than that applicable to other discrete variables. Actually, at the time of enumeration, most of the enrolled persons had attended at least three-fourths of a school year beyond the highest grade completed, whereas a large wjority of persons rho were not enrolled had not attended any part of a grade beyond the highest One completed. The effect of the assumption is to below,

place the median for younger persons slightly and for older persons, slightly above, the true medi?.n.

Historical comparability: have beerasked

Questions on Years of school completed In censuses since 1940, RS a replacement for

literacy question which had been asked from 1840 to 1930. the

See also: -- SCHOOL EXROLLMEXT; SCHOOL LEVEL

SEASONAL AND UIGRATQRY VACANT UNITS. - See VACANCY STATUS

SEWAGE DISPOSAL. The type of sewage disposal system for the structure in which the unit is located, ascertained for occupied and vacant housing units. This item was asked on a sample basis.

Public sewer. Connected to a city, county, sanitary district, neighborhood, or subdivision sewer system. A public sewer may be operated by a government body or by a private organization. Small sexage treatment plants, called "neighborhood septic tanks" in some localtties, are classified as public sewers. 411 units in structures with five or more units are assumed to be connected to a public sewer if the unit has running water.

Septic tank op cesspool. An underground tank or pit into which sewage flows from the plumbing fixtures in the building.

Other means. Includes an individual -- sewer line running to a creek, lake, swamp, etc.; units with a privy; and other arrsngements.

Yistorical comparsbilfty: Similar data were collected in 1960 and 1970; in 1960, however, data were collected only outside cities with 50,000 or more persons.

See also: BATHROOM: ?ft%RCE OF

COMPLETE t3ATRROOU; PLUFtSIXG FACILITIES; 'YATER,

SEX. - Ascertained on a complete-count basis.

Historical comparability: A question on the sex of individuals has bee" asked of the total population in every census.

SIXGLE-FAMLY HOMES. See UNITS IV STRUCTURE

SIZE OF HOUSEHOLD. See HOUSEHOLD, PERSONS IN --

SIZE OF HOIJSIXG UNIT. See ROOMS --

SIZE OF STRUCTURE. See UNITS IN STRUCTURE --

SOURCE OF WATER. -- See W4TER, SOURCE OF

SPAXISH ORIGIV. Determined by a complete-count question which asks respondents to self-identify whether they are of Spanish origin or descent. If, when interviewed, the person reported a multiple orijin and cou18d not provide a single origin, the origin of the person ' s

292

mot3er was used. If a single response was not provided for the person's mother, the first reported origin of the person was used.

Counts Of the population by Spanish origin in complete-count tabulations are provisional. Final counts for Spanish origin will be deterained after the sample data have been processed. The sample counts will first appear on

tile tape in STF 3 and in print in

Characteristics of Population, General Social and ~Economic Characteristics, =8&=i% reports.

-----

Persons marking any one of the four "Spanish" categories, i.e., Mexican, Puerto Rican, Cuban, or other Spanish, are collectively referred to as "persons of Spanish origin."

In certain tabulations, persons of Spanish origin ars further classified by type:

Yexicsn. Persons rho indicated "Mexican, Vexisan-Anwrican, Chicano," or wrote,in an entry such as "La 99x9."

Puerto Rican. Persons who indicated "Puerto Rican" or wrote in an entry such as "Boricua."

Cuban. Persons who indicated "Cuban."

Other Spanish. Persons who filled the circle for "other SpanishfBispanic"; or persons *ho wrote in an origin or descent associated with Spain, the Dominican Republic, or any Central or South America country except Brazil or a nonspecific Spanish group such as "Spanish surnamed" or "Spanish speaking."

Prelisinary evaluations of 1980 census data suggest some limited misreporting of Spanish origin. 4vsilable evidence indicates that the misreporting mw have occurred only in selected areas with relatively small Spanish-origin populations, such as in some Southern States, but it is not apparent in those areas with the largest concentrations of Spanish-origin persons. For a fuller discussion of the reporting in the Spanish-origin itea, see the forthcoming 1990 census Supplementary Report, "Persons of Spanish Origin by State: 1980" (PCSO-Sl).

Historical comparability: The Spanish-origin question was asked on a loo-percent basis for the first time in 1980. A similar question was asked on the 1970 5-percent sample questionnaire. For 1980, the category "No. not Spanish/Hispanic" appeared first (the corresponding category appeared last in 1970). Also, the terms "Mexican-lmerican" and "Chicano" are added to the term "Mexican." The category "Central or South American," included in 1970, was dropped.

Although a question on Spanish origin was included in 1970, it was not the major identifier used to classify the Rispanic population in the 197') census as it is in 1980. Depending on the section of tile country, 1970 census data for "Persons of Spanish Reritage" were variously defined as "Persons of Puerto Rican Birth or Parentage" (in

293

Yew York, New Jersey, and Pennsylvania), as "Persons of Spanish !,an;llage or Spanish Surname" (in Arizona, California, Colorado, u el" 'fexico, and Texas) ( and as "Persons of Soanish Language" (in the renaining 42 Stntes and the District of Columbia). "Spanish Langurge" referred to those persons who in 1970 reported Spanish as their ,nother tong~le, as well as persons in families in which tile household head or spouse reported Spanish as his or her nother tongue.

SPOUSE. See HOUSEHOLD RELATIONSHIP

ST.WDARD CONSOLIDATED STATISTICAL AREA (SCSA). A large concentration of metropolitan population composed of two or nore contiguous standard metropolitan statistical areas (SUSA's) which together meet certain criteria of population size. urban character, social and econmic integration, and/or contiguity of urbanized areas. "ach SCS& must have a population of one million or rTIore. Thirteen SCSA'S we l-e in existence at the time of the 1980 census. They were defined hY the Office of Management and Rudget according to criteria published bv that office in Standard Uetropolitan Statistical Areas: --- 1975. Four additional SCSA's have been defined based on 1980 census results.

SCSA'S are identified by a 2-digit numeric code. Summaries for SCSA's apoear in many reports, and in STF's lC, X, 3C, and 4C. Summaries are generally provided for SCSA totals and for within-State parts of SCSA's.

qistoricsl cowcarability: The original 13 SCSA's were designated in 1975. For the 1960 and 1970 censuses, the Census Sureau recognized txo "Standard Consolidated Areas" (SCA's), which encompassed metropolitan complexes around New York and Chicago.

In 1962 or 1983, the SCSA concept will be replaced by the new Consolidated Yetrooolitan Statistical Area (CUSA) corlceot, with somewhat more flexible criteria, as spelled out in the Federal Register, January 3, 1980. These changes will not affect puhlGt= of lYR0 census data for SCSA's.

STANDARD UETSOPOLIT.AN STATISTICAL m (m). A large population nucleus and nearbv communities which have a high degree of economic and social integration with that nucleus. Each SMSX consists of one or more entire counties (or county equivalents) that nleet specified standards pertaining to population, commuting ties, and metropolitan character. In New England, towns and cities, rather than counties, are the basic units and should be substituted for "counties" where counties are cited below. SMSA's are designated by the Office of Management and Budget.

Data products from the 1980 census will report on 323 S'ISA's: (1) 287 defined before January 1.1980 (including 4 in Puerto Rico); and (2) an additional 36 (including one in Puerto Rico) established as a result: of 19SO census ponulation counts. The 3fi new SUSA 1 s 'Were

294

designated when 1980 counts showed that they met one or both of the .~~ following criteria:

1. Included a city with a population of at least 50,000 within its corporate limits, or

2. Included a Census Bureau-defined urbanized area (which must have a population of at least 50,000) and a total MS4 population of at least 100,000 (or, in New England, 75,000).

An SMSA includes a city and, generally, its entire UA and the remainder of the county or counties in which the UA is located. 4n SMSA also includes such additional outlying counties which meet snecified criteria relating to metropolitan character and level of commuting of workers into the central city or counties. Specific criteria governing the definition of SMSA's recognized before 1980 are puhlished in Standar-l Metropolitan 197'j, Statistical &-ere~: issued bv the Office of Management and Budget.

With two exceptions, each SMSA has one or more central cities, up to a maximum of three, and the names of these cities form the title of the SMSA. The Nassau-Suffolk, NY, SMSA has no central city, and the title of the Northeast Pennsylvania SMSA does not contain the names of its three central cities: Scranton, Wilkes-Barre. and Hazleton.

SMSA's we identified by a FIPS 4-digit numeric code, which follows the alphabetic sequence of SMSA names. SHS4's are outlined on small- scale WiPS in several 1980 report series. SUSA data appear in most 1980 census publications and summary tape files. Many SUSA's cross State boundaries, and reports in several series provide summaries for the State parts of multi-State SMSA s, as well as SUSA totals. Summary tape files present data only for State parts of SUS\'s, except for the "national" files: STF's lC, 2C, 3C, and 4C.

Historical comparability: A comparison of 1970 and 1980 cenws products reveals two types of changes in metropolitan territorv. First, 69 new SUSAN s were created from previously nonmetropolitnn territory: 36 were defined in 1981 based on 1980 population counts and 33 were defined between 1973 and 1979 based on current population estimates. (An additional SMSA--Rapid City, SD--was provisionallv recognized based on population estimates, but it did not qualify according to 1980 census data.)

The second component of change to metropolitan territory between 1970 and 1980 was the redefinition of many of the SMSA's which were recognized in 1970 census tabulations. Of the 247 1970 SLlSA's, 101 ‘were redefined in 1973 based on 1970 census commuting data, llost bV

the addition of 1 or more counties (or towns and cities in Vew England). In addition, one SMSA was redefined by the addition of one u-e* and the deletion of another (Wichita Falls, Texas), one was sllbdivided (Nassau-Suffolk SUSA iwas created from a part of the Yew York SZSA), four pairs of SUSA's were combined into single SYSA'S (for example, Dallas-Fort Worth, Texas), and four S!dSA's lost urea that W.ZS added to other SMSA's. In addition, the names of several

295

SWA's we 1‘0 changed in 1973, one in such a way that the SMSA code also changed (San Bernardino-Riverside-Ontario to Riverside-San Bernardino-Ontario, California).

Since ShlSA's are always defined in terms of ,vhole counties (towns or cities in New England) for which extensive data are available, wers can usually compile figures for comparisons over time.

In 1982 or 1983, SMSA boundaries will be reevaluated using 1980 census data on commuting, labor force, population density, residence,

type of and population growth, according to new criteria spelled

out in the Federal Register, January 3, 1980 (vol. 45, no. 2, pt. VI). At that time, new outlying counties may be added or existing ones deleted, some area titles will be changed and new central cities designated, some areas may be consolidated, and a few new SWA's may be created. Further. the term "standard metropolitan statistical 3rea" will he shortened to "metropolit*n statistical *re*" (WA). These changes will not affect p ublication of for S\lS A ' s .

-- - 1y80 census ___ dat. -

STATE. A major political unit of the United States. The District of Columbia is treated as a State-equivalent in all 1980 census data series. Puerto Rico is also, 94-171 Population

except that it does not appear in P.L. Counts file. American S*RXG3, Guam, Northern

!fariana Islands, the remainder of the Trust Territory of the Pacific Islands, and the U.S. Virgin Islands are treated as State equivalents for the presentation of data in 1980 population and housing volume 1 reports, but data for these areas will be available on computer tape - only on STF's 1 and 3.

ststes *I-e identified by a a-digit FIPS &de which follows the alphabetic sequence of State names (including the District of Columhi,%), and by a Z-digit census geographic State code, the first digit of which identifies the census division of which the State is a part. Puerto Rico and the outlying areas have FITS codes nu.qerically following the State codes.

Historical comparability: There have been no significant changes to State boundaries in the last decade. Data for the Northern Xariana Islands are reported separate from remainder of the Trust Territory for the 1980 census.

See also: PUERTO 9ICO AND OUTLYING AtXEAS --

STATZ ECONOMIC AREA (SEA). ZTEn a State wuhich is

A single county or group of counties relatively homogeneous with resoect to

economic and social characteristics. The grouping of the 3,103 counties and county equivalents in 1950 into SEA's was the product of 9 special study prepared by the Bureau of the Census in cooperation with the Bureau of Agricultural Economics and several State xnd private agencies. Boundaries were drawn in such a manner that each

economic area had certain significant characteristics which distinguished it from adjoining areas. There are 510 SE4's.

SEA's are identified in census tabulations on computer tape bv a 2- digit numeric code or a l-digit alphabetic code. assigned sequentiallv within the State; however, no 1980 data are summarized for SEA's.

Historical comparability: SEA boundaries have remained largely unchanged since they were defined in 1950. In 1950, 501 areas were defined; in 1960, 509; and in 1970, 510.

See also: ECONOMIC SUBREGION --

ST4TE OF BIRTH. Persons born in the United States were askefl to report heir State of birth as the State where the person's mother was living at the time the person was horn (not the location of the hospital if in a different State). This item was asked on a sample basis.

Specific States were coded from the write-in entries in census processing offices. Specific codes are assigned for each State and for Puerto RiCO and outlying areas of the United States, including Virgin Islands, American Samoa, and Guam. ‘dost presentations are limited to the following:

Born Born

in State of residence in different State: Yortheast North Central South West

Born abroad, at sea, etc.

Specific hut will

States of birth will be published only in a subject reoort, be available on basic records and public-use microdata.

Historical comparability: The format of the place-of-birth question was changed from 1970 so that the instruction to enter the State where the person's mother was living at the time the person was born is highlighted so that respondents would not report the location of the hospital if in a different state from the mother's usual residence.

See also: -- COUNTRY OF BIRTH; NATIVITY AND PLACE OF BIRTH

STtORIES IN STRUCTURE. The number of stories or floors in the building 5 which the unit is located, ascertained for occupied and vacant units. Stories (or floors) include basements or attics if these contain finished rooms for living purposes. (A basement is an enclosed space in which a person can -walk uoright under all or part of the building.) This item was asked on a sample basis.

Responses fOI- stories in structure were edited for consistency with information on units in structure. The responses given for units in structures with fewer than 5 units were edited to "1 to 3" stories.

'tistorical comparability: Similar d*ts have been collected since 1960; in 1960, however, data were collected only in cities With 50,000 ol- more inhabitants. In 1980, basements finished for living purposes were counted as stories for the first time.

See also: ELEVATOR IN STRUCTURE --

STRUCTURAL CHARACTERISTICS. See ELEVATOR IV STRUCTURE; STORIES IX STWCTURE; IJNITS IN STRUCTURE; YEAR STRUCTURE RUILT

SUBFi!IILY TYPE. See FXWLY

T~WES DY REAL EST1TS. --- See OWNER COSTS, SELECTED MONTHLY

TELEP!iONE G U%IT. Presence of ascertained foroccupied units.

a telephone in the housing Iunit. A telephone in the building but not

in the respondent's living quarters is not counted. This item was asked on a sample basis.

Ristorical comparability: Similar data have been collected since 1360. The 1980 question differs from its 1970 and 1960 counterpart which, designed more as an aid to enumeration, asked whether the household could be reached by phone. The 1980 question refers only to a telephone inside the housing unit. (As an aid to followup enumeration, resnondents were also asked to write their telephone numbers on the back of the questionnaire.)

TWURE. The classification of all occupied housing units as either owner-occupied or renter-occupied. This item was asked on a complete-count basis.

Owner-occupied. A housing unit is "owner occupied" if the owner or co-owner Lives in the unit even if the unit is mortgaged or not fully paid for. The owner or co-owner must live in the unit but need not be the person listed in column 1 of the 1980 census questionnaire.

Renter-occupied. 411 occupied housing units which are not owner- occupied, regard1 .ess of whether cash rent is paid by a member of the household. ("No cash rent" units, a subcategory of renter- occupied, are separately identified in rent tabulations. Such units are generally one provided free by friends or relatives, or in exchange for the services of, fOl- example, a caretaker, minister, tenant farmer, or sharecropoer.)

Ristorical comparability: Tenure has been collected since 1390. In 1970, the question on tenure also included a category for condomini,im and cooperative ownership. In 1980, condominiums are identified in a separate question.

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See also: CONDOMINIUM STATUS; OWNER COSTS, SELECTED MORTHLY; RENT, ETR4CT; RENT, GROSS; VALUE

TOWN/TOWNSHIP. See XNOR CIVIL DIVISION

TRACT. See CENSUS TRACT

TRAILERS See UNITS AT ADDRESS; UNITS IN STRUCTURE

TRAUSPORTATION TO type of conveyEice

WORK, MEANS OF. -- The principal means of travel or usually used during the reference week in

traveling from home to work at the address give" in the place-of-work question. (The reference week was the calender week prior to the date on which the respondent or enumerator completed the questionnaire, further discussed under Labor Force Status.) If mOPe

than one means of transportation WPS used, the respondent 'was instructed to report the one usually used for most of the distance. These data were obtained from the full sample for persons at work last week (i.e., including both civilian employed and Armed Forces at work) and are tabulated for persons 1B years old and over.

Major categories which appear in abbreviated tabulations include:

Private vehicle. Cars (including station wagons and company cars ) , trucks (including pickup trucks and small panel trucks); and vans with passenger seats and side and/or rear windows.

Drive alone. Includes - - persons who usually drove alone as well as persons who were driven to work by someone who then drove back home or to a nonwork destination.

Carpool. Persons who share driving (e.g., oersom in carpools who took turns driving on different days), drive others O"lY 1 or ride as a passenger only (includes persons who were usually drive" to work bs' another worker, not necessarily someone who worked at the same place PS the respondent). Persons in a carp001 were also asked how 'Wl"V people usually rode to work in the car, truck, or van (see Vehicle Occupancy).

Public transportation. Buses or streetcars, railroads (including commuter trains), subway or elevated (rapid transit operating on its OW” right-of-way underground. on the surface, or elevated), and taxicab.

Other means. - - Yotorcycles, bicycles, write-in responses (e.g., ferryboat, airplane), and persons who "walked only, " i.e., who walked to work and used no other means of transportation.

Worked at home. Persons working on a farm where he or she lived, or in anofe or shop in the person's house.

Note that a respondent who was on II business trip during the reference week may report a means of transportation to work that foes

299

lot seem reasonable for the place of residence, e.g., a resident of Montana reporting going to work last week by subway. There was no coding of write-in resPonses within the "other means" category.

!Iistorical comparability: Data on means of transportation to work have been collected since 1960. In 1970, the question referred to the means of transportation to work on the last day of the previous wsek rsther than the usual means during the week. The categories for trucks, vans, motorcycles, and bicycles are new for 1980. Rather than using a separate question on carpooling, the 1970 means-oftransportation-to-work question specified "driver, private auto" and "passenger, private auto."

See also: WORK -

PLACE OF WORK; TRAVEL TIPAE TO WORK; VEHICLE OCCUPANCY TO

TRAVEL TIXE TO WORK. The usual "umber of (minutes spent in traveling from home to work (one wy) during the reference week, ascertained for persons at work last week and tabulated for persons 16 years old and over. (See the discussion of the reference week under Labor Force Status.) Travel time includes time spent waiting for public transportation, picking up passengers in carpools, etc. Time taken occasionally to stop for meals, shopping, appointments, taking children to school, etc. was not included. This item was asked on a sample basis.

This item Was coded in census processing offices from the respondent's write-in entry and is recorded on census basic records and public-use microdats in minutes. In some reports, travel time to work is reported in terms of categories: less than 10 minutes, 10 to 19 minutes. 20 to 29 minutes, 30 to 44 minutes, and 45 or more ainutes. Hare frequently the data are presented as an average: inean travel time to work, reported in minutes.

Limitations: Since travel time to work was coded only for a sample Zone-half of all long-form questionnaires, along 'with place of 'vork and residence I" 1975. The estimated number of workers 18 years :tnd over who did not work at home as derived f ronI travel time f i.:lli-c?s will differ somewhat from the corresponding figure derived from & tabulation of means of transportation to work, a full-sample item. Further, any cross-tabulation of travel time to work with other items is necessarily based only on the half sample.

Historical comparability: Travel time to work is a new item for 1980.

See also: PLACE OF WORK; TRANSPORTATION TO WORK, UEANS OF; VEHICLE 3ccUPz??

TRUCKS OR VANS AVAILABLE. The number of vans, pickups, and small panel t&?ksofone-ton capacity or less which are owned or regulnrlv used by any member of the household and -which are ordinarily ke[)t :tt home. Company vans and trucks of one-ton capacity or less 9~s Z%lZGO included if kept at home by a household member and used for

nonbusiness purposes. Vans and trucks kept at home are not included if used only for business purposes. The statistics, therefore, ldo not reflect the number of privately owned trucks or v*ns or the number of households owning such vehicles. The statistics are ascertained for occupied housing units. This item was asked on a sample basis.

Limitations: A test survey taken before the census showed that the percent of households with several vans or trucks WZXS understated, and the percent of households with "no vans or trucks" VfaS

overstated, when compared to the results of reinterviews.

Historical comparability: This question has not been asked in a census before.

See also: AUTOMOBILES AVAILABLE --

TYPE OF STRUCTURE. See UNITS IN STRUCTURE --

UNITED STATES. This designation includes the 50 States and the District of Columbia. 1980 STF's and most report series (usually in * separate U.S. Summary report) provide data summarized for the United States.

UNIT, PERSONS IN. See HOUSEHOLD, PERSONS IV -

UNITS AT ADDRESS. Number of housing units with a particular house or building address number. This question is asked principally to improve census coverage. If the respondent indicated from 2 to 9 units at the address, census workers checked the number against the number of units for that address on the Bureau's address register. If the respondent's answer was higher than what WIBS shown in the address register, the building was visited to ascertain the correct number of units, thereby assuring enumeration of every unit. This item was asked on a complete-count basis.

Mobile home or trailer. Included if intended for occupancy where -- located. Mobile homes or trailers were counted whether mounted or on wheels.

Limitations: Data users sometimes use "units at address" as a proxy for "units in structure," which is published later because it is based on a sample question. The concepts are not interchangeable, though, since some multi-unit buildings have more than one address and there is some variation in respondent interpretation of "units 8t address."

Historical comparability: Similar data were collected in 1970.

See also: UNITS IN STRUCTURE --

___ IX STRUCTURE. UNITS The number of housing units in the structllre in which t= unit is located. The number of units in structure includes all housing units whether occupied or vacant, but excludes group

301

quarters or businesses. The statistics are presented in terms of the number of housing units in structures of specified types and sizes, not in terms of the "umber of structures.

4 structure is a separate building that either has open space on all sides or is separated from other structures by dividing Will* that extend from ground to roof. This was determined on a sample basis.

One-family house. Synonymous with l-unit structure (i.e., the G does not imply occupancy by a family as defined for census purposes). This category excludes mobile homes or trailers as defined below.

l-unit, detached. l-unit structure detached from any other house, i.e., with open space on all four sides. Such structures are considered detached even if they have an adjoining shed or gsrqe. 4 one-family house ,which contains a business is considered detached 9s long 1s the building has open space on ~11 four siles. Uobile homes or trailers to which one or fnore permanent rooms have been added or built on are also included.

l-unit, attached. l-unit structure which has one or more walls extending from ground to roof separating it from adjoining structures. In row houses (sometimes called townhouses), double houses, or houses attached to nonresidential StPUCt~lPeS) each house is a separate attached structure if the dividing or common wall goes from ground to roof.

2-or-more units. units in structures containing 2 or l1ore housing units; further categorized as units in structures with 2, 3 or 4, 5 to 9, 10 to 19, 20 to 49, and 50 or more units.

Uobile home or trailer, etc. Both occupied and vacant mobile homes toxch;o permanent Gms have been added. If only 1 "arch or shed has been added, the unit is cou"t?d in this caregory. Vote that mobile homes or trailers used only for business purposes or for extra sleeping space, and mobile homes or trailers for sale on B dealer's lot at the factory, or in storage are not counted in the housing inventory. In the printed reports, this category includes occupied housing units indicated as "boat, tent, van, etc.," i.e., any occupied units which do not fit the other listed categories. Houseboats, railroad caE.,

campers, and caves used as 8 usual place of residence orovide additional examples.

Limitations: Users of small-area data occasionally are troubled by certain anomalies in units-in-structure data. For example, a user may encounter a table in which only 5 units in B census trsct are listed as being in a structure of 10 or more units. Sometines respondents do not know the exact number of units in a structure and Sive :A* incorrect response.

historical comparabilitv: Data have been collected on units in structure since 1940 and on mobile homes and trailers since 1950.

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The residual category "boat, tent, van, etc." replaces the 1970 category "other--describe." The instruction to respondents that B mobile home or trailer counts RS a detached house if a room (though not a. porch or shed) has been built on to it was added in 1970 and retained for 1980.

See also: UNITS AT ADDRESS --

UNMARRIED COUPLES. Households consisting of two unrelated persons 15 years old and over of opposite sex. regardless of their marital status, and regardless of the presence or absence of persons under 15; derived from responses to household relationship, sex, and we questions. Data s.re presented only in limited tabulations in PC80-l- D and STF 5. This item was derived on a sample basis.

Historical conparability: This is R new concept for census publications. It could, however, also be applied to microdatn from earlier censilses.

UNREL4TED INDIVIDUAL. An unrelated individual may he (1) a householder living alone or only with persons not related to him or her, (2) a roomer, boarder, partner, roommate, or resident employee unrelated to the householder, or (3) a group quarters member who is not an inmate of *n institution. Classification as an unrelated individual derives from the complete-count question on household relationship. Examples of unrelated individuals include a widow who occupies her house alone or with one or more other persons not related to her, a roomer not related to the householder, a maid living as a member of her employer's household, and a resident staff member in a hospital dormitory. Persons living with one or more relatives in 8 household where the householder is not related to any of them are classified in the census as unrelated individuals; .for example, a husband and wife who rent P room from B householder to whom they are not related.

Presentations are shown for the universe of "unrelated indivi~duxls 15 vears and over" for income and poverty.

Historical comparability: A similar concept w%s used in 1970.

See also: -- FAMILY; ROUSEHOLD RELATIONSHIP

n AND w (Population). Urban and rural are type-of-are% concepts rather than specific areas outlined on maps. 4s defined by the Census Bureau, the urban population comprises all persons living in urbanized areas (UA's) and in places of 2,500 or more inhabitants outside UA's.

The rural population consists of everyone else. Therefore, a rural classification need not imply farm residence or a sparsely settled area, since a small city or town is rural as long as it is outside H UA and has fewer than 2.500 inhabitants.

303

The t ems urban and rural are independent of metropolitsn and nonmetropolitan designations; both urban and rural areas occur inside 2nd outside SUSA's.

Yistorical comparnbility: Except for the minor relaxation of U4 criteria discussed below, urban and rural definitions have been consistent since 1950. Yithin small counties, measurements of urban and rural populations over time may he signiPicantly affected by the increase or decrease of a place's population across the 2,500 population threshold, e.g., the increase of 1 person to e. place of 2,499 results in an increase of 2,500 to the county's urban population.

URBAN FRIXGE. See URBANIZED AREA

UBB?L~IZED AREA (UA). inhabitants,

4 population concentration of at least 50,000 generally consisting of a central city and the

surrounding, closely settled, contiguous territory (suburbs).

The 114 criteria define a boundary based primarily on a population density of at least 1,000 persons per square mile, hut also include some less densely settled areas, and such areas as industrial parks and railroad yards, if they are within *rem of dense urban development. The density level of 1,000 persons per square mile corresponds approximately to the continuously huilt-up arsa around x city(ies). The "urban fringe" is that part of the UA outside of a central city(ies).

Typically, an entire UA is included within sn SMSA. The SXSA is usually much larger in terms of territory covered and includes territory where the population density is less than 1,000. Occasionally, more than one UA is located within an SWA. In some cases a small part of a UA may extend beyond an SXSA boundary or possibly into an adjacent SXSA. A few 1980 UA's have been defined in areas :which do not meet the criteria for SXSA designation. 'JA's nay cross State boundaries. In 9 few cases, R UA does not include sll of an "extended city," that is, a place which is determined to have a significant amount of rural territory.

UA's are identified by 4-digit codes, which follow the alphabetic sequence of all UA names. When B UA has the same name as an SMSA. the UA code is usually the same as the SMSA code. U4 boundaries are shown on final MMS/VMS maps, and at a much smaller scale on UA outline maps in PCSO-1-A and HCSO-1-A reports.

Historical comparability: Because UA's are defined on the basis of population distribution at the time of 8 decennial census, their boundaries tend to change following ee.ch census to include expanding urban development.

The criteria have been fairly constant since 1950, although in each dec;i;le some new refinements have been :added. For the 1970 census, i? which 252 UA's were recognized, it was necessary for the central city to have a population of 50,000 or more, or for there to be "tuin

304

cities" with a combined population of 501000 and with the smaller city having at least 15,000. In 1974 the criteria were liherzlized to allow UA recognition to certain cities between 25,000 and 50,000, and this resulted in 27 new urbanized areas. For 1980, no minimum population size is required for a central city.

UTILITIES. See ENERGY COSTS, MONTHLY RESIDENTIAL

VACANCY, DURATION OF. The length of time (in months) from the date the last occupants moved from the unit to the date of enumeration. The data, therefore, do not provide a direct measure of the total length of time units remain vacant. For newlv constructed units which have never been occupied, the duration of vacancy is counted from the date construction was completed. For recently converted or merged units, the time is reported from .the date conversion or merger was completed. Duration of vacancy was determined for vacant ye*r- round units on a complete-count basis.

Ilistorical comparability: Similar data have been collected since 1960.


V4CANCY STATUS. Determined for housing units at the time of enumeration. Vacancy status pertains to year-round vacant units. Vacancy status and other characteristics of vacant units *re determined by enumerators questioning landlords, owners, neighbors, rental agents, and others.

The housing inventory includes vacant mobile homes or trailers intended to be occupied on the site where they stand. Vacant mobile homes on dealer sales lots or in storage yards are not counted as housing units.

New units not yet occupied are classified as vacant housing units if construction has reached a point where all exterior windows zxnd doors sre installed and final usable floors are in place. Vacant units are excluded if open to the elements; that is, if the roof, walls, windows, or doors no longer protect the interior from the elements, or if there is positive evidence (such as a sign on the house or in the block) that the unit is to be demolished or is condemned. 41SO

excluded are quarters being used entirely for nonresidential purposes, such as a store or an office, or quarters used fnr the storage of business supplies or inventory, machinery, or agricultural products.

Vacant year-round units. Vacant units intended for use, eve" if only occasionally, throughout the year.

For sale Vacant only.

0"lV. ~- year-round units offered for ssle The category includes mainly one-family houses, hut

also two types of vscant units in multi-unit buildings: (1) vacant units (which are for sale only) in a cooperative or condominium and (2) vacant units intended to he occupied by

305

the new building owners in multi-unit buildings that are for sale. 4n individual unit that is vacant because it is being held for sale of the entire building is classified as "other vacant." Vacant units offered for rent or sale at the same time are classified as "for rent."

For rent. Vacant year-round GanGits offered for rent or

units offered for rent, and sale at the same time,

including vacant units for rent in 8 building for sale.

Rented or sold, sold or rented

awaiting occunance. Vacant Vear-round units but still unoccupied when enumerated--

including units where rent is agreed on but not yet paid.

Held for occssional use. Vacant units for weekend or other occasional use throughout the "time sharing" condominiums ar,"zT,'o cl~~~r~4ed"~~~~?hio Or

Other vacant. Vacant units for year-round occupancy not classified above, for example, units held for a janitor or caretaker, settlement of an estate, pending repairs or modernization, or personal reasons of the owner.

Vacant seasonal and migratory- units. Vacant units used or intended for useonly in certain seasons. 4"Y unit Iused throughout the year, even if only occasionallv, is excluded. Seasonal units include those used for summer or winter sports or recreation--beach cottages and hunting cabins, for example. Seasonal units may also include quarters for such workers as herders and loggers. Migr*tory units include those for farm workers during crop season.

Limitations: Most tables exclude vacant seasonal and migratory units since information on characteristics of such units is difficult to obtain.

Historical comparability: Similar data have been collected since 1940. In 1970, seasonal and migratory vacant units were reported io two separste categories.

See also: ST;1TUS;

BOARDED-UP STATUS; HOMEOWNER VACANCY RATE; OCCUPANCY RENTAL VACANCY RATE; VACANCY, DURATION OF

VALUE. For owner-occupied housing units, the respondent's estimate of the current dollar worth of the property. For vacant units, value is the price asked for the property. A property is defined as the house and land on which it stands. Respondents estimated the value of house and land even if they only owned the house or owned the Property jointly.

Statistics on value :* re shown only for owner-occupied condomini,lm units and for "specified owner-occupied" unkts, i.e., one-family houses on less than 10 acres and with no business on the property. Value tabulations exclude renter-occupied units, mobile homes or

506

trailers, houses on 10 or more acres, houses with a commercial establishment or medical office on the property, and noncondominium units in multi-family buildings (e.g., cooperatives).

When value data are presented solely for vacant units for sale only, the term "sale price asked" is substituted. In the computation of aggregate and mean value, $7,500 is taken as the average of the interval "less than 510,000." and $250,000 is taken as the average of the interval "8200,000 or more." This item was asked on a complete- count basis.

Limitations: A 1970 census evaluation study found that respondents tended to report a higher value of home in a reinterview survey, with more detailed questions, than in the census. On the other hand, a comparison of 1970 census reports of value with subsequeht actual srrle prices of a sample of homes sold one to two gears later found tnat the census understated the median market value of those homes bv only three percent (compared to the sale prices adjusted for inflation between the census and sale date). This result cannot be generalized to all census value data, however, since the sample was restricted to metropolitan areas, and since census respondents who were about to sell their homes may have been more aware of market values.

Historical comparability: Similar data have been collected since 1930 (and in 1920 for mortgaged nonfarms only), but value for condominiums is new for 1980. For historical comparability, tables will show condominiums and noncondominiums separately. Values for 1980 reflect increased housing prices: the highest category in 1970 was "$50,000 or more," for 1980, $200,000 or more. Also, the number of categories increased from 11 in 1970 to 24 in 1980.

V4N.S OR TRUCKS AVAILABLE. -- See TRUCKS OR VAXS AVAILABLE

VEHICLE OCCUPANCY. The number of people, including the respondent, who usually rode together to work in a car, truck, or van during the reference week ("last week"). Riders who rode to school or some other nonwork destination were not included. Vehicle occupancy vas asked on a sample basis for persons at work last week who indicated the use of a car, truck. or van in the means-oftransportation-to-work question.

Data are reported in terms of categories like "Drives alone," "In 2- person carpool," "In 3-person carpool." etc., and/or as an average : persons per private vehicle. In the calculation of means or aggregates, 8 is taken as the average value of the open-ended category "7 or Pnore." Note that these data are presented in terms of the number of persons in carpools of a given size, not in terms of the number of vehicles or carpools. To approximate the number of vehicles accounted for by these statistics, divide the number of persons who went to work 'by car, truck, or van by the mean number :of persons per vehicle; to approximate the nu:nber of carpools, the

subtract number of persons driving alone from the derived number of

vehicles.

Historical comparability: New item for 1980.

See also: -- PLACE OF WORK; TRAYSPORTATION TO WORK, XEANS OF

VEBI,CLFS AVAILABLE. The total number of automobiles, vans, and light trucks--one ton or less--available at home for the use of members of the household, ascertained for occupied housing units. This tabulation adds together responses to the two separate questions on automobiles and trucks or vans. "Three or more" vehicles available is the highest category of this question. The statistics do not reflect the number of vehicles privately owned or the number of households owning vehicles. These items were asked on a sample basis.

Kistorical comparability: Information on vans and light trucks is new for 1980.

See __ also: ???6JP%NCY

AUTOMOBILES AVAILABLE; TRUCKS Q)A VAXS 4VAILABLE; VE%ICLE

VETERAN STATUS AND PERIOD OF SERVICE. All civilians 1S Years and over are classifiedon the baa!= of whether they have served in the Armed Forces of the United States, regardless of whether their service was in w*r or peacetime. This item was asked on a 53Tlple basis. (The question was also asked of 15year-olds and of persons curreatlg in the Armed Forces, but these groups are excluded from the universe of tabulations.)

Veteran. A person who has served but is not currently serving in the Armed Forces of the United States.

Nonveteran. 4ny other civilian, i.e., a person who has never served in the Armed Forces of the United States.

While the question on period of service allowed responses for more than one time period, these data are tabulated in terms of mltua11y exclusive categories. If persons served during both wartime and peacetime, theY are classified according to the most recent wartime period of service.

May 1975 or later Vietnam era only February 1955 to July 1964 only Vietnam era and Korean conflict Korean conflict only Korean conflict and World War II World War II Norld War I Other service

Responses to period of service were edited by computer for consistency with age.

308

Yistorical comparability: Questions providing detailed data on -- veteran status have been asked since 1960. For 19S0, the questions on veteran status and period of service are designed, for the first time, to include women as well as men. The 1970 counterpart item 'was asked only of men an.3 identified two fewer perio,ls of service.

WALKUP. See STORIES 1.V STRUCTURE

WATER COST. -- See ENERGY COSTS, MONTHLY RESIDENTIAL

WATER HEATING FUEL. See FUEL

WATER, SOURCE OF. Source of the water used by the occupants or intended occupan= of the housing unit, ascertained for occupied and vacant bousi3g units. This item was asked on a sample basis.

??Jblic system op private company. 4 common source supplying running water to six c)r more housing units. The water nay be supplied by a city or county water department, a water district, a private water company, etc., or it may be obtained from a WP11 which supplies six or more housing units.

Individual well. Water obtained from a well on the property of the unit beingnumerated or on a neighboring property providing water to five or fewer housing units. The well water may be hand drawn, wind drawn, or engine drawn; piped or not piped; stored in tanks; or used directly from the well.

Drilled. A well generally made with a mechanical drilling rig and less than 1 l/2 feet in diameter. Drilled wells include artisian (natural spring) wells.

& well. A well generally hand dug and wider than 1 l/2 feet indiameter.

SOrIle other source. Water obtained from springs, creeks, rivers, -- ponds, lakes, cisterns, or other sources not listed, hut not from a public system, private company, or well.

Historical comparability: Similar data were collected in 1960 and 1370; in 1960, however, data were collected only outside cities ;uith 50,000 or more persons. The distinction between drilled wells and dug wells is new for 1980.

WEEKS OF UNEXPLOYMENT IN 1979. The number of weeks during 1979 in -- which aperson did not work but was looking for work or was on layoff from a job, tabulated for persons who did not work in 1979 or worked less than 52 weeks. Excluded from weeks of unemployment is any week in which the person worked (even for 1 hour), any week for which the person received wages or salary, or any ueek in which the person VCPS 3n active duty in the Arned Forces. on psi-l vacation, 3~ on pzii leave. The question on weeks of unemployment disi not ask whether tile person W9S available to accept a job. (See the definition of

unemployed under Labor Force Status. This item was collected on a sample basis.

Persons 16 year3 old and over with unemployment in 1979 'were classified as follows: unemployed 1 to 4 weeks, 5 to 14 weeks, 15 to 33 He&s, and 27 weeks or more. Census basic records and public-use microdata record the actual number of weeks unemployed.

Historical s: New item for 1980. Data on weeks of unemployment were last collected in the 1950 census.

See also: LABOR FORCE STATUS IN 1979 --

;VEEKS WORKED - IN 1979. The number of weeks during 1979 in which a person did any zrk for pay or profit (including paid vacation and paid sick leave) or worked without pay on a family farm or in a family business. Weeks of active service in the Armed Forces 3C? also included. These data are tabulated for all persons 15 years 1o1,i and over who worked in 1979, regardless of current labor f3rce status. This item was collected on a sample basis.

Census basic records and public-use microdata record the actual number of weeks worked, 1 to 52. Categories avsilable in detailed tabulations include: 13 weeks or less, 14 to 26 weeks, 27 to 39 weeks, 40 to 47 weeks, 48 to 49 weeks, and 50 to 52 weeks. Statistics on weeks worked in 1979 can he used to put 1979 earnings in the appropriate perspective.

Limitations: It is probable that the number of persons who worked in 1979 and the number of weeks they worked are understated since there is some tendency for respondents to forget intermittent or short periods of employment or to exclude weeks worked without pay. An evaluation study of 1970 census data on weeks worked last year found moderate consistency in the classification of persons who worked 50 50 52 weeks in 1969, but a high (degree of variability for otiler weeks-worked categories.

Historical comparability: Data on weeks worked collected in the 19BO census are comparable to data from the 1960 and 1'970 censuses, 'out ,nay not be entirely comparable with data from the 1940 and 1950 censuses because of a different structure to the question. IO 1970, data on weeks worked were collected in intervals.

also: See ROURS WORKED PER WEEK I‘v 1979; LABOR FORCE STATUS I'J 1979; WEEKS UNEMPLOYED IN 1979

'IYELLS. See WATER, SOURCE OF

WHITE POPULATION. See RACE

WgRK DISAdILITY. See DISABILITY

YEAR LAST WORKED. The most recent year in which a person did any work foray or profit, or worked without pay on a family farm or in

310

a family business, or was on active duty in the Armed Forces. This item is tabulated for persons 16 years old and over who were not at work during the reference week. It was asked on a sample basis.

The data from this question are used to define "experienced unemployed" (See Labor Force Status), a concept which excluded unemployed persons who "never worked." In addition to persons who marked "never worked," persons who reported that they last worked when they were 14 years old or younger were assigned to the "never worked" category. Persons who last worked before 1975 were not asked to report the industry, occupation and class of worker of their last job.

Historical comparability: A comparable question was asked in the 1970 census.

See also: LAROR FORCE STATUS IN 1979 --

YEAR MOVED INTO UNIT. -- The year of the householder's latest move into thehousing unit, ascertained for occupied units. Respondents who had moved back into a unit they previously occupied were asked the year of the most recent move, as were those who moved from one apartment to another in the same building. This item also includes those who, living in a mobile home, moved from one location to another in the same mobile park. The intent of this question is to establish the length of occupancy by the present householder.

The year that the householder moved in is not necessarily the same year other members of the household moved, although in the great majority of cases an entire household moves at the same time. Respondents who indicated that they "always lived here" are assigned to the category corresponding to their year of birth. This item was asked on a sample basis.

Limitztions: An evaluation study after the 1970 census found that the census figures for the year the household head moved into t b e unit substantially overstated the category "always lived here."

Historical comparability: In 1960 and 1970, Year Moved Into Unit was asked of every person and included in population reports. Year Moved Into Unit in housing tabulations referred to the year the head moved in. The 1970 questionnaire indicated seven time spans: 1949 or earlier, 1950 to 1959, 1960 to 1964, 1965 or 1966, 1967, 1966, and 1969 or 1970.

See also: RESIDENCE IN 1975 --

YEAR-ROUND HOUSING UNITS. All occupied units plus vacant units intended for year-round use. Almost all data on housing characteristics are limited to year-round housing units. Vacant units held for seasonal use or migratory labor are excluded because it is difficult to obtain reliable information for them. counts of the total housing inventory include both year-round and seasonal units.

311

also: see VACANCY STATUS

YZXd STRUCTURE BUILT. The year the original construction of the building was Completed (notthe date of any of any later re:nodeling, addition, or conversion). This item was ascertained for occupied and vacant housing units. For housing units under construction which met the housing unit definition, i.e., all exterior windows, doors, and final usable floors in place, the category "1979 or Narch 1980" is used. For mobile homes, trailers, and houseboats, the manufacturer's model year is assumed to be the year built. For railroad cars, tents, caves, etc., the date "1939 or earlier" is used. The figures show the number of units in structures built during the Specified periods and still in existence at the time of the census. This item was asked on a sample basis.

Limitations: Year-built data are particularly susceptible to resQonse errors and nonreporting since respondents must rely on their memory or estimates of persons ,who have lived in the neighborhood a long time, etc. A 1970 census evaluation study found greater inconsistencies between the census and reinterviews among earlier year-built categories than among categories for more recent periods.

ilistorical comparability: Similar data have been collected since 1940. The categories in 1970 'were: 1939 or earlier, 1940 to 1949, 1950 to 1959, 1960 to 1964. 1965 to 1968, and 1969 to 1970.

312

QUESTIONNAIRE FACSIMILE

.-

Please fill out this ! official Census Form 1980

and mail it back on I Census Day.

Census of the / Tuesday, April 1.1980 United States

Para personas de habla hispana

How to fill out your Census Form

Question 1

314

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am”,~**n -y.

b. et”, macfl a7d “,, - c/Sk.

c. Pm, ywr I” * Ipces. md w M MC,, klO*rch-.

--

315

.

i

.

n

iTI

I

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I

---

318

.

n

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n

I

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219

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---

7

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n

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n

Please Make Sure You Have

Filled This Form Completely

322

-

*

-

4

-

4

-

c

3 z;

- I

z;

- - -

$ : - z!

z:

- z

-

$ .

-

a

s :

- $ r r

- ; ;

- - - - ;z &

L

-

-

-

1

-

-

.

3A - Cont’d.

WI34OKIC AREA (SEA)

FIPS PLACE

STANDARD lWDElUL ADI~INISTRATIVE REGION (SFAK) LONGITUDE

STATE/ CONG. PLACE DIST.

n

.

If

A N A/N N

,,

Code is blank for summary level 11 in New England States.

Either present as a true code or all ‘9’s wherever indicated.

O,,ly codes A and N are shown, if applicable, for summary level 15.

This code will not be present on summary level 14, 15, or 16 if the summary level 13 has been eliminated as a redundant ‘remainder’ record.

This code will not be present on summ;rry level 16 if the sununary level 14 has heen eliminated, as a redundant ‘remainder’ record.

,, ,.,

.

Geographic Coverage Within Summary Level--STF 38

STATE/ SMSA/

: ‘ield

FILE INDENTIFICATION RECORD TYPE SUMMARY LEVEL

URBAN AND RURAL COMPONENT INSIDE AND OUTSIDE SPsA’s CC+!PONENT RACE/SPANISII ORIGIN GROUP

ANCESTRY GROUP BLOCKED PORTION INDICATOR

STATE / COUNTY Size ZIP /ZIP

(5) A/N A/N (4) 121 A< 36

(2) (2) 121

(3) 111 1-1

)

SUHSTITUTION INDICATOR (11 COUNTY-PART INDICATOR (NEW ENGLAND) (11 PART INDICATOR (WITIIIN CONGRESSIONAL DISTRICT) (11

POLITICAL/STATISTICAL AREA DESCRIPTION (1) OUASI-STATE

STATE i2j N N FEDERAL INFORMATION PROCESSING STANDARD lFIPS1 STATE I 1 N N FIPS STANDARD METROPOLITAN STATISTICAL AREA (Sh6A) 21 WY FIPS COUNTY (3) N MINOR CIVIL DI\ rSION/CENSUS COUNTY DIVISION (MCD/CCD) (3j I I PLACE (4) I TRACT OR BLOCK NUMBERING AREA (BNA)

UP

BLOCK PLACE-PART INDICATOR

BLOCK-PART INDICATOR ENUMERATION DISTRICT (ED) INDICATOR (PREFIX) ED NUMRER ED SUFFIX FIPS Sl’ANIIAKII CONSOLIDATED STATISTICAL AREA (SCSA)

i6j (11

(3) (1) I,

(1) (;I

(1) 12) N/N

I URBANI ZliD ARliA (UA) (4) 1 1 1 CONGRESSIONAL DISTRICT (CD) (2) INDIAN RI.:SER~ATIO~J/ALASKA NATIVE VILLAGII (ANv) r 3) I I MCI1 SliOllliNI:li Nll~~l~lill ZIP

_ . 14) (5) N N

_ -

.

Z:

-

z

-

- -

- z

z

- -

226

*

i

I i

s

j

s i

I .

; .

I .

1 .

1 .

:

327

(I:

(131

V’M!

- - z - 2.:

- I - ZI

7.

- z

-

APPE*f( . A Geographic Coverage WitL . dtmmsry Level-STP 5D

cDtma8Ir& :' . .

KKtNBKKIKOAKKA(KKA) .

\

l3D SMPIX LDAlKD ITATISTICAL A8KA (8CSA) 1/

EL-....- “I” ----.. .---I

DLSCRICT OFPICB (4 IL I I N I Y

SblSL “. UA TYPE UI

PLACE

CENTIUU ncnlcu

I-/ Thie code will be bled in emery level 37 to! NW 8a8lnnd otetee.

21 nde record eppllee to minor civil dlvioiotw with lO;OOO or more Inbnbitaatm in II l elected Stetee (Connecticut, Maine, Heseachusatts, Hicbl8en, Weu Hempehire, UeJ Jerrey, Yew York, Penneylvanla, Ithod Islend, Vermont, end Ulrconrin).~

,

I \- I ,, ;,,,,,, ,,, ,,,

,

Code

l-599

600-652

600

601

602

603

604

605

606

607 _.

606

6OY

610

611

612

613

614

615

616

APPENDIX Bl

CODE LIST FOR RACE ENTRIES OF ,.--.'--* “~ItIEK

Race -

not used

OTHER ASIAN AND PACIFIC ISLANDERi/

ASIAN (ASIAN AMERICAN, ASIA)

ASIATIC

BANGLADESH

BdUTANESE (EHOTAN, BHUTAN)

BIKINI ISLANDER (BIKINI ISLAND)

BORNEO

BURMESE (BIlEMA)

WUCHEA, CAMBODIAN (CAMBODIA)

CAROLINIAN (CAROLINE ISLANDER)

CELEBESIAN (CELEBES ISLANDER)

CEXNAM

SRI-LANKAN (SRI-LANKA), CEYLONESE (CEYLON)

ENINETOK ISLANDER (ENINETOK)

FIJIAN (FIJI ISLANDER, FIJI)

INDO-CHINESE

INDONESIAN (INDONESIA)

IWO JmAN (IWO JIMA)

Code

617

618

619

620

621

622

623

624

625

626

627

628

629

630

631

632

633

634

635

1/ Tabulated as "Asian and Pacific Islander." -

Race

JAVANESE (JAVA ISLANDER)

KWAJALEIN ISLANDER (KNAJALEIN)

LAOTIAN (LAO, LAOS)

MAUYAN (MALAYSIAN, MALAYSIA)

,MALDIVIhN (MALDIVE ISLANDER, NALDIVES)

XARIANA ISLANDER NORTHERN MARIANA ISLANDER

MARSHALLESE (MARSHALL ISLANDER)

MELANESIAN (MELANESIA)

MICRONESIAN (MICRONESIA)

MONGOLIAN

NEPAL1 (NEPALIS, NEPALESE, NEPAL)

NEW HEBRIDES ISWNDER (NEW HEBRIDES)

OKINAWA3 (OKINAWA)

ORIENTAL (ORIENT)

PACIFIC ISLANDER

PAKISTANI (PAKISTAN)

PALAU ISLANDER (PALAUAN)

PAPUA NEW GUINEAN

POLYNESIAN (POLYNESIA)

-

329

Code

636

637

638

639

640

641

642

643

644

645

646

647

648

649

650

651

652

653-699

700-735

700

701

702

703

Race -

PONAPE ISLANDER (PONAPE)

SAIPAN ISLANDER

THAI (THAILANDER, THAILAND), SIAXESE (SIAM)

SIKKIM

SINGAPOREAN (SINGAPORE)

SOLOMON ISLANDER

SlJMATKtW (SUMATRA)

TAHITlAN (TAHITI)

TARAWA ISLANDER (TABAWA)

TINIAN ISLANDER (TINIAN)

TONGAN

TONJKELAU ISLANDER (TON~LAUAN)

TRUKESE (TRUK, TRUK ISLANDER)

WHELLO

YAPESE (YAP)

YELLOW

HMONG (HMONGTANA)

OTHER ASIAN AND PACIFIC ISLANDER, NOT CLASSIFIED

OTHER SPANISH ORIGIN z/

ARGENTINEAN (ARGENTIN [O,E.Al)

BOLIVIAN (BOLIVIAN0 [Al, BOLIVIA)

BOKI~UA (BORINQUENO [AI)

CALIFORNIO

21 Tabulated a8 "Other (Race. n.c.c.)'

Code

704

705

706

707

708

709

710

711

712

713

714

715

716

717

718

719

720

721

722

723

330

Race

CE:ITRAL AMEKICAN (CENTRAL ANEKICA, CENTROMEKICANO [Al)

CHICANO (A)

CHILEAN (CHILENO [AI, CHILE)

COLOMBIAN (COLOMBIAN0 [A], COLOMBIA)

COSTA RICAI~ (COSTA RICA, COSTARRICENSE)

CUBAN (CUBAN0 [Al, CUdA)

DOMINICAN (DOMINICAN0 [Ai, DOMINICAN REPUBLIC, D.R.)

ECUATORIAN (ECUAT~RI~O [AI, ECUADOR)

EL SALVADORIAN (EL SALVADOR)

FERNANDO PO

GALAPAGOS ISLANDER (GALAPAG~ ISLANDS)

GUAJIKO (A)

GUATEHALAN (GUATEMALTECO [A], GUATEElALA)

HISPANO [A] (HISPANIC)

HONDURAN (HONDIIREG~ [Al, HONDURAS)

LA RAZA

LATIN AMERICAN (LATIN0 LA], LATIN, LATINOAMERICANO [Al)

MESTIZO (A)

MEXICAN (MEXICAN-AMERICAN, MEXICAN0 [Al, MEXICO)

NICARAGUAiJ (NICARAGUENSE, NICARAGUA)

-. Code

724

725

726

727

728

729

730

731

732

733

734

735

736-799

800-999

800

801

802

803

804

805

Race -

PANAMANIAN (PANAMA, PANAIENO LA])

PARAGUAY0 (A) (PARAGUAYAN, PARAGUAY

PERUVIAN (PERUANO [A], PERU)

PUERTO RICAN (PUERTO RICO, PIIERTORRIQUENO [Al, P.R., NEW YOKK RICAN)

SALVADOREAN (SALVADORENO [A])

SOUTH tiL\IERICAN (SOUTH A'fERICA)

SPANISH

SPANISH-A%RICAN

SPANISH-MEXICAN

SUDA.%RICANO (A)

URUGUAYAN (URUGUAYO [A], URUGUAY

VENEZUELAN (vENEZOLAN~ [A], VENZZIIELA)

OTHER SPANISH ORIGIN, NOT CLASSIFIED

OTHEr( RACE 31

BRAVA (BRAVO)

BRAZILIAN (BRAZIL)

BROWN

BUSHWACKER

CAJUN

CAPE VERDZAN (CAPE VERDE ISLANDER)

806 WOCOLATE

Code

807

808

809

810

811

812

813

814

815

816

817

818

819-824

825

026

027-029

830

831

832-998

999

Race -

COE CLAN

COFFEE

COSMOPOLITAN

EURASIAN

ISSUES

JACKSON WHITE

LAPP (LAPPISH, LAPLAND)

MELUNGEON

MIXED (MIXTURE)

RAMP

TUNICA

WESORT

not used

MOOR

TURK

OTHER P.ACE, NOT CLASSIFIED

INTERRACIAL, BIRACIAL, MULTIRACIAL

FAIR, used for the Virgin Islands only; OTHER RACE, NOT CLASSIFIED in all other areas

OTHER RACE, NOT CLASSIFIED

OTHER RACE, NOT REPORTED

3/ 'labuiated as utner (K ace n.e.c.)" - 531

APPENDIX 82

CODE LIST FOR ENTRIES OF LANGUAGES OTHER THAN ENGLISH SPOREN AT HOME

Code

l-10

11

Language

not used

JAMAICAN CREOLE

12 KRIO 12 KRIO 12 PIDGIN RR10

13 HANAIL4N PIDGIN

14 PIDGIN

15 not used

16 GULLAH 16 GEECHEE 16 GULLAH

17

18-19

20 20 2ll 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20

21

SARAMACCA

not used

GERMAN AUSTRIAN BAVARIAN BAYRISH CHOIXN DEUTSCH GERW GUTTSCHEE HESSIAN PATOU PLATTDEUTSCH PRUSSIAN RHENISH SAXON SCRWABISCH SCHWITZER DEUTSCH SWABIAN SWISS THURINGIAN VIENNESE

not used

Code Language

22 22 22 22

PENNSYLVANIA DUTCH AMISH PENNSYLVANIA DUTCH PENNSYLVANIA GERMAN

23-24 not used

25 YIDDISH 25 JEWISH 25 YIDDISH

26-29 not used

30 30 30 30 30 30 30 30

DUTCH BELGIAN DUTCH FLEMISH HOLLANDISH NEDEFLANDISH NETHERLANDIC NETHERLANDISH

31-39 not used

40 AFRIKAANS 40 AFRIXAANS 40 BOER

41-44 not used

45 45 45 45

FRISIAN FKEECE FKIESH FRISIAN

46-49 not used

50 50 50 50

51-54

LUXEMBOURGIAN LUXEMBOURG LUXEMBOURGIAN LUXEMBURGEN

not used

333

Code

55

Language

SWEDISH

56-59 not used

60 DANISH 60 DANE 60 DANISH

61-64 not used

65 NORWEGIAN 65 DAi~o-NORWEGIAN 65 LANDSMAL 65 NORSE 65 NORWEGIAN 65 RYKS!lAAL 65 RYKSMAL

66-69

70

71-74

not used

ICELANDIC

not used

75

76-79 not used

80 ITALIAN

80 CALABRIAN 80 CORSICAN 80 FRIULIAN 80 GENOESE 80 IT.ALIAN 80 LIGUKIAN 80 LUGAN 80 SARDINIAN 80 SICILIAN

81-84 not used

85 85 85 85

FRENCH FRANCAIS FKENCH WALLOON

86 PROVENCAL 86 OCCITAN 86 PROVENCAL

Code Language

87 PATOIS

88 88 88 88

89

FRENCH CREOLE CREOLE FRENCH CREOLE HAITIAN CREOLE

CAJUN

90 90 90 90 90 90 90 90 90

91

SPANISH ARAGONESE CASTILIAN CHICANO CUBAN ESPA:iOL PIEXICAti PUERTO RICAN SPANISH

not used

92 CATALONIAN 92 CATALAN 92 CATALONIAN 92 VALENCIAN

93 93 93 93 93

I.ADINO LADINO SEFABADIT SPANOL SPANOLIT

94 PACHUCO

95 95 95 95 95 95

PORTUGUESE BRAZILIAN CAPE VERDIAN CRIULLIO GALICIAN PORTUGUESE

96 not used

97 97 97

98-99

PAPIA MENTAE PAPIA MENTAE PAPIAriENTO

not used

334

_~ Code Language Code

100 RlJXANIAN 100 MOLDAVMN 100 KlJMANIAN 100 VLACH 100 WALACHIAN 100 WALIACHIAN

101-104 not used

10s 105 105 105 105 105

RHABTO-RONANIC LADIN RAETO-ROMANCE RHAETIAN RHAETO-ROMANIC KOMANSCH

lU6-1OY not used

110 110 110

111

112

WELSH CYMRAEG LlELSH

not used

BRETON

113-114 not used

115 IRISH GAELIC 115 CONNACHT 115 GAELIC 11s IRISH 115 IRISH GAELIC 115 LEINSTER

116

117

118-119

not used

SCOTTIC GAELIC

not used

120 120 120 120 120

GREEK CYPKIAN CYPRIOT GREEK ROMAIC

121-124 not used

125 ALBANIAN 125 ALBANIAh 125 TO.%

126-129 not used

130 RUSSIAN 130 GREAT RUSSIAN 130 RUSSIAN

131-134 not used

135 135 135 135 135 135

BIELORUSSIAN BELORUSSIAN BIELORUSSIAN BYELORUSSIAN WHITE RUSSIAN WHITE RLJTHENIAN

136-139 not used

140 UKRAINIAN 140 CA&PATHO-RUSSIAN 140 CARPATHO-RUSYN 140 CARPATHO-RUTHENIA 140 LEMKO 140 LITTLE RUSSIAN 140 RUTHENIAN 140 UKRAINIAN

141-144 not used

145 145 145 145 145 145 145 145 145 145 145 145 145

CZECH BOHEMIAN CHECHOSLOVAKIAN CZECH CZECHOSLOVAKIAN HANAK LACH MAEiRISH MAHRISH MORAVIAN SULACK SULAIB YAWCH

146-149 not used

335

Code - Language

150 150 150 150

KaSHUBIAN CASSUBIAN KASHUEIAN SLOVINCIAN

151-154 not used

155 LUSATIAN 155 LUSATIAli 155 SORBIAN

155 WENDISH

156-159 not used

160 160 160 160 160 160

POLISH MAZOVWN POLISH

161-164

lb5

166-169

17'3

171-174

175

176-179

POLSiI POLSKU SILESIAN

not used

SLOVAK

not used

BULGARIAN

not used

MACEDONIAN

not used

l&O 180 180 180 180 180 180 180 180 180 180

SERaOCROATIAN CAKAVIAN CROATO-SERBIAN JuGosLAvIAN KAJKAVIAN SERBCCROATIAN SLAVIC SLAVONIAN STOKAVIAN TORLAKIAN YUGOSLAVLAN

181 CROATIAN

Code Language

182 SERBIAN

lB3-184 not used

185 SLOVENE

185 CARINTHLAN 185 CARii10L.4N 185 SLOVENE 185 SLOVFiNL4N 185 SLOVENSKO

186-189 not used

190 LITHUANIAN 190 LITHUAiiIAN 190 LITVAK

191-194 not used

195 LETTISH 195 LATVIAN 195 LETTISH 195 TAVNIAN

196-199 not used

200 ARXENIAN

201-204 not used

205 PERSIAN 205 AVESTAN 205 fARSS1 205 IRAXIAN 205 PAHLAVI 205 PERSIAN 205 PFARSI 205 PUSHTO

206-209 not used

210 PASHTO 210 AFGHAN 210 PASHTO

211-214 not used

215 KURDISH

216-219 not used

336

Code

220 220 220

Code Language

221-224

225

BALLicHK

not used

TADZHIK

226-229 not used

230 OSSETE 230 OSSETE 230 OSSETIAN

231-234

235

not used

SANSKRIT

236 236 236 236 236 236 236

HIND1 AND RELATED HIND1 HINDU HINDUSTANI INDIC JAIPURI PAL1 UFDIJ

237 237 237

SENGALI BANGLA-BHASA BENGALI

238 PAXJABI 23x PANJtiI 233 PUWAdI 238 PUNJtlI

239 239 239

240 240 240 240

241

BALOCHI 242 RAJASTHANI &iLOCHI 242 MEWARI

MARATHI KONKAN MARATHI

GUJARATHI GUJAFATRI GUJERATI JUJARATHI

BIHAR1

242 RAJASTRANI

243 ORIYA

244 BHILI

245 ASSAMFaSE

246 KASHmKI

247 NEPAL1

248 SINDHI

249 MALDIVIAN

250 SINBALESE 250 CEYLONESE 250 CINGALESE 250 SINHALESE

251-254 not used

255 ROMNY 255 GYPSY 255 ROMANY

256-259 not used

260 FINNISH 260 FINNIC 260 FINNISH 260 KAPELIAN

261-264 not used

265 ESTONIAN 265 ESTONIAN 265 INGRIAN 265 LIVONIAN 265 VEPSIAN 265 VOTIC

266-269 not used

337

Code language Code Language

270 270 270 270 270 270 270 270 270

LAPP ILvARI (LAPP)

283 KIRGHIZ

KolA (iAPP). UPP LULE (LAPP) PITE (LAPP) RUIJA (LAF'P) SKOLT (LAPP) LIME (LAPP)

284 284 284 284 284 284

KARACHAY BALKAR BASHKIR KAR4CHAY KUKYK TATAR

271 HUNGARIAN 285 285 285

UIGHUR UIGHUR

272-274 not used 2d6

275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275 275

(OTHER URALIC LANGUAGES) CHEREMIS 287 KOMI MANS1 MAR1 MOKSHA MORDVIN PY)RDVINIAN OSlWAK SAhOYED OSTYAK SAMOYED SAYAN TAVGY TAWGI TANG1 SAMOYED UDMURT UGRIC VCGUL VOTYAK

288

289

UZBEK

AZERBAIJANI

TURKISH

TURKMEN

YAKUT

XANTY YENISEI YENISLY YURAK ZYRIAN

290 290 290 290 290 290 290 290 290 290 290 290 290 290

291

MONGOLIAN BURYAT DAGUR KALMUK KALXYK KHALKA KHORCIN hONGOL MONGOLIAN MONGOLR MONGLJL OIRAT ORDOS PAO-A:l

not used

292 TUNGUS 292 AKANI 292 BIRAR

276-279

281

282

not used

CHUVASH

KAblKALPAK

KAZAKH

292 EVEN 292 EVENKI 292 GOLD 292 LAMUT 292 MANCHU 292 NANAI 292 OROCON

338

L.

Code -

292 292 292 292

293-294 not used

295 295 2YS 295

CAUCASIAN ABAZA ABKHAZIAN ADYGEI ADYGHE AVAR CAUCASIAN CHECHENIAN CIKCASSL4N DARGWA GEORGIAN INGUSH KABARDIAN LAK LBZGHIAN MINGRELIAN SVAN SVANETIC TABASARAN

295 295 2Y5 295 295 295 295 295 295 295 295 29s 295

-~ 295 295

296-297 not used

308 303 308

KURUKH KURUKH ORAON

298 298 298 29M 298 298 29M

sdsgUE BASOUE ESKUARA EUSKAR EUSKERA HEUSKARA USKARA

309

310 310 310 310 310 310 310

not used

MUNDA KORKIJ MUNDA

299 not used

MUNDARI-HO SANTALI SAVARA SORA

300 DRAVIDWN 311-314 not used

301 not used 315 BURUSHASKI 315 BILTUM

302 BRABUI 315 BURUSHASKI 302 BRAHUI 315 KXAJUNA 302 BRAHIJIDI 315 KUNJUTI

302 KUR GALL1 315 YESKKUN

Language Code Language

SIB0 SOLON

303 303 303 303 303

GONDI GONDI KHOND KU1 TULU

TUNGUS TUNGUZIC

304 304 304 304 304 304

TBLUGU ANDBRA GENT00 IELUGU JELUGU TELUGU

305 KANNADA 305 CANARESE 305 CANNADA 305 KANARESE 305 KANNADA

306 306 306

MALAYALAM MALABAR MALAYALAM

307 TAJ4IL

339

Code Lanugage

316-319 not used

320 CHINESE 320 CANTONESE 320 CHINESE

320 YUE 320 YUEH 320 MIN

321 not used

322 HAKKA 322 FUKIEN 322 HAKKA 322 HOKKA 322 K'E 322 K'ECHIA

323 KAN 323 ziii

323 NANCH'ANG

324 HSIANG 324 CHANSHA 324 HSIANG 324 HUNAN 324 HUNANESE 324 IYANG

325 MANDARIN 325 HONAN 325 HOPE1 325 MANDARIN 325 PEI

326 FIJCHOW 326 FOU CHOU 326 FUCHOW 326 MIN PEI

327 FORMOSAN 327 CH'AO SHAN 327 FORMOSAN 327 NIN NAN 327 TAIWANESE

328 WU

329 not used

Code Language

330 TIBETAN 330 BHOTANTA 330 BHOTIA 330 HUNIYA 330 KAZI 330 IAMA 330 SHALGNO 330 SIKKAMESE 330 TIBETAN

331 BURMESE 331 AH1 331 AKHA 331 BURNESE 331 KHOANY 331 LISU 331 LOLO 331 MUNG 331 MYEN 331 TONKIN

332 - KAREN 332 GHEKO 332 KAREN 332 MOPWA

333 - KACHIN 333 BODO 333 CHINGPAW 333 GARO 333 KACHIN 333 LEPCHA 333 RA!lAXG

334 not used

335 THAI 335 CHAUNG 335 CHUANG 335 CHUNG 335 CHUNG-CHM 335 KAM 335 KELAO 335 LAO 335 NUNG 335 SHAN 335 SIAMESE 335 TAI 335 THAI

-.. Code Language

335 THO 335 THU 335 TUNG

336-339 not used

340 HU&YAO 340 LAM 340 HAN 340 MIAO-YAO 340 .MIEN 340 PUNU

341 not used

342 ?&IO 342 iGZiiG 342 HSIUNG 342 LAOS-HNONG 342 HHONG 342 MIA0

343-344 not used

_~~ 345 JAPANESE 345 ANAMI-OSI.MA 345 JAPANESE 345 OKINAWAN 345 OOSIMA 345 OSIlMA 345 RYUKYUAN

346-349 not used

350 KOREAN 350 CHOSEN 350 COREAN 350 IiANKlrL 350 KOREAN

351-354 not used

355 AINU - 355 AINU 355 EZO 355 HOKKAIDA 355 YEZO

356-35Y not used

Code Language

360 HON-KHMRK 360 BAHNAR 360 BAHNARIC 360 CAMBODIAN 360 CHAOBON 360 KHASI 360 KBMBR 360 NON 360 MON-KHMER 360 MNONG 360 PALAUNG 360 SEDANG 360 TONG 360 WA

361-364 not used

365 YUKAGIR 365 CliUKCHBE 365 GILYAK 365 hYl'EKt(OUN 365 ITELNAN 365 KAMCHATKAN 365 KORYAK 365 NlVKH 365 YENISEIAN 365 YWAGIR

366-374

375 375 375 375

376

377

378

379

380

381

3S2

383

not used

VZETNAMRSE ANNAMESE TONKINESE VIETNAMESE

not used

HUONG

BUGINESE

MOLUCCAN

INDONESIAN

ACHINESE

BALlNiSE

ChAH

341

Code Language

364 JAVANESE

385 MArJm‘RESE

386 PltUAGASY

387 387

MALAY Tzm

387 MALAYAN 387 MALAYSIAN

388 HINANGKABW

389 SUNDANESE

390 TAGALOG 390 FILIPINO 390 PHILIPPIrNE 390 PILIPINO 390 TAGAL 390 TAGAL 390 TAGALO 390 TAGALOG

391 not used

392 E ISAYAN 392 BISAYAN 392 HILIGAYNON 392 ILONGGO 392 VISAYAN

393 SEBUANO

393 CEBUANO 393 SEBUANO

394 PANGASINAN

395 ILOCANO 395 IGOROT 395 ILOCANO 395 ILOKO

396 BIKOL 396 1)IKOL

Code Language

397 PAMPANGAN 397 KAPAI4PANGAN 397 PAMPANGAN

396

399

400

401

GORONTALO

not used

MCRONESIAN

CAROLINIAN

402 cHAMoRRo 402 CHANORRO 402 GIJANAB 402 GUAMANIAN

403 403 403

GILBERTESE GILBERTESE KIRIBATI

404 KUSAIFAN 404 KOSBAE%N 404 KUSAIEAN

405 MARSRALLESE

406 406 406

HOKILESE L4OKILESE PINGELAPESE

407 !.lORTLOCKESE

408

409 PALAU

410 PONAF'RAN 410 NGATIKRSE 410 PONAPEAN

411 TRUKESE

412 412 412

ULITBEAN PAIS ULITHEAN 396 VICOL

542

Code Language Code

413 WOLEAI-ULITHI 413 EAIJKIPIK 413 IFALUK 413 SATAWALESE 413 SONSOROLESE 413 WOLEAIAN 413 WOLEAI-ULITHI

414 YAPESE

415-419 not used

420 MELANESIAN 420 ARANDA 4 2’1 ARUNTA 420 BAINING 420 BAUAN 420 EN@ 420 KIWAI 420 L4U 420 MARIND 420 MELANFSIAN 420 MOTA 420 MollJ 420 MURNGIN 420 NIMBOBAN 420 OROKOLO 420 PAPUAN

421-439 not used

440 POLYNESIAN 4 40 PASCLIENESE 440 POLYNESIAN

441 SAMOAN

442 TONGAN

443 NILIRAN

444 TOKELAUAN

445 FIJIAN

446 MARQUESAN 446 MANGAREVA 446 MARQUESAN 446 RAPANUI

446 446 446

Language

TAHITIAN TUAMOTUAN UVEA

447 RAROTONGAN

448 MAORI

449 449 449

450

451-459

NUKUORO -RANGAN NUKUORO

HAWAIIAN

not use*

460 ARABIC 460 ALGERIAN 460 ARABIC 460 BEDOUIN 460 EGYPTIAN 460 IRAQI 460 JORDANIAN 460 LEBANESE 460 LIBYAN 460 MALTESE 460 MOROCCAN 460 SAUDI 460 TUNISIAN

461-464 not used

465 HEBREX 465 HEBRW 465 ISRAELI

466-469 not used

470 - SYRIAC 470 ARAMAIC 470 ASSYRIAN 470 SYRIAC 470 SYRIAN

471-474 not used

475 AMHARIC 475 AMHARIC 475 ETHIOPIAN


475 GURAGE 475 BABESHA 475 liARAH 475 T1tiF.B 475 TIGRINA 475 TIGRINYA

4Yl-494 not used

SULJANIC y CHICH

476-479 not used

480 BERBER

480 BERBER 480 GUARCHE 480 JERBA 480 KABYLE 480 RIFF 480 RIFFIAN 480 SHAWIA 480 SHILH 480 SHILRA 480 SHLUH 480 TAKASHEK 480 TAMAEIGHT 480 TUAREG 480 ZENAGA

495 4Y5 495 495 495 495 495 495 495 495 495 495

DINKii GAMBAI LUGBAKA MAD1 MANGBETU MANCBUTU NAND1 POKOT SARA SUDANIC

496-499 not used

481-484 not used

500 500 500 500 500 5uo 500 500 500 500

NILOTIC ACHOLI AKOLI ALUH LANG0 LUO LWO NILOTIC NUER SHILLUK

485 CHADIC 485 BURA 485 CHADIC 485 GIDDEK 405 BAMITIC 405 RAUSA 405 KOTOKO

5Ul-504 not used

NILO-BAMITIC BAR1

406-489

490 490 490 490 490 490 490 490 490 490

not used

CUSBITE AFAR BEJA CUSHITE GALLA RADIWA KUSHITE SAP‘0 SIDAMO SOMALI

505 505 505 505 505 505 505 505 505

KARAhOJONG KWAVI LOTUHO LOTUKO MASAI RILO-BAMITIC TURKANA

506-509 not used

510 NUBIAR

511-514 not used

515 515

SAHARAN BARIBAKI

515 KANURI 515 MANtiA

Ll In tabulations of language , codes 495, 530, and 532 are treated as one category "BANTU-SUDANIC." S44


515 SAHARAN 515 TEDA

515 TIBBU

516-519 not used

520 520 520

(NILO-SAEABAN) FUR SONGIiAI

521-524 not used

525 525 525 525 525 525

KROISAb nusmAN bADzAB1 BATSA KBOISAN SANDAWE

526-529 not used

530 SWAHILI L/

531 not used

532 532 532 532 532 532 532 532 532 532 532 532 532 532 532 532 532 532 532 532 532

BANTU l! -- BANTU BEMBA BEMBE BENA BOBANGI BUBE BUBI BULU CAGA CAWA CRAGA CHAGGA CHRWA CHIGA DUALA FAN FANti tiANDA GISU HEKE

532 KAhbA

532 KIKAMBA 532 KIKONGO 532 KIKUYU 532 KONG0 532 LINGALA 532 LOZI 532 LUBA 532 LUGANDA 532 LUNDA 532 LUNDU 532 LUVALE 532 LWENA 532 LNAKE 532 M&MOE 532 MAKUA 532 MttUNDU 532 MONGO 532 NDONGO 532 NIGER-CONGO 532 NTUM 532 NYAMbE.51 532 NYAI%lEZI 532 NYANJA 532 NYANKOLE 532 NYOKE 532 NYOKO 532 PAROUIN 532 PAMUE 532 PANGUE 532 RUANDA 532 RUNDI 532 RUNYAbKOKE 532 RWARBA 532 MONA 532 SOTHO 532 SUDANESE 532 SUDANIC 532 SUKUMA 532 THONtiA 532 TIMBUKA 532 TONGA 532 TUKV 532 TSWANA 532 TUNBIJKA 532 KHOSA 532 YAO 532 YAUNDh 532 ZULU

-~ .L ' In tabulations of language, codes 495, 530, and 532 ate treated 3s

one category "BANTU-SUDANIC." 545

Code Language

533-534 not used

535 MANDE 535 BALU 535 BAMBARA 535 DYULA 535 KFELLB 535 LCMA

535 MALINKA 535 Mh'DIi?GO 535 MANINKA 535 MAN0 535 .ANDE 535 SONINXA 535 soussou 535 VAI

536-539 not used

540 540 540 540 540 540 540 540 540 540 540 540 540 540 540

541-544

545 545 545 545 545 545 545 545 545

FULANI BALANTA DIOLA DYOLA FulA FULANI GOLA GISSI KISS1 OUOLOF SERER TEMEN TICPiE CjOLOF YALLOF

not used

Z&U BARIBA BOB0 BURGU BUSARI BWA CMBA DAGABA DAGBANI DAGOEiBA

545 545 545 DAWARI 545 GUR

Code Language

545 GURMA 545 MOLE 545 MORE 545 MOSS1 545 SENADI 545 SENUFO 545 SUP'IDE 545 TEN 545 TOBOTE

546-549 not used

550 KRU 550 EZNGRE 550 AGNI 550 AKAN 550 AKOKO 550 ANY1 550 BASSA 550 DAMOMEEN 550 ED0 550 EGBO 550 EWE 550 FANTI 550 FON 550 GA 550 GE 550 GREBO 550 IBO 550 IDOMA 550 IGALA 550 IGBO 550 IJAW 550 IJO 550 ISOKO 550 KAKUMO 550 KRU 550 KWA 550 NIGERIAN 550 NUPE 550 OBA 550 TWI 550 URHOBO 550 YORUBA

551-554 not used

555 EFIK 555 EFIK

346

Code Language Code Language

555 IBIBIO 555 TIV

556-559 not used

560 MBUM (AND OTHERRELATED) 560 GBAYA 560 MBUM 560 SANG0 560 ZANDE

803

804 804 804

805 805 805

KOTZEBUE SOUND INUPIAT

SAINT LAWRENCE ISLAND YUPIK SAINT LAWRENCE ISLAND YUPIK SIBERIAN YUPIK

561-564

565

566-799

not used

805 805 805 805

AFRICAN

YUPIK CENTRAL ALASKAN YUPIK CENTRAL YUPIK ESKIMO YUPIK YUPIK YJP'IK YUPIK ESKIMO

not used 806 ALGONQUIALq 806 ALGONQUIAN BO6 ALGONQLIN 806 CEXTRAL ALGONQUhN

AMERICAN INDIAN LANGUAGES

800 800 a00 000 800 800 800 800 800

801 001 au1 801 001 8Ul

802

803 803 803 803 803 803 803 803 803 803 803 803 803

ALEUT ALEUT ALUET ATKA ATTU CENTRAL ALEUT EASTERN ALEUT UNALASKA NESTERN ALEUT

PACIFIC GULF YUPIK ALUTIIQ PACIFIC ESKIMO PACIFIC GULF YUPIK SOUTH ALASKAN ESKIMO SUGPLAQ

ESKIMO

INUPIK BARROW BARROW INGLRSTATT ESKIMO INUPIK INGLESTATT INGLESTATT-BARROW INUIT INUKTI'NT INUPIAG INUPIAT INUPIK INUPIK ESKIi'fO INUTTUT

807 807 807 807 807 007

AP.APAHO ARAPAHO ARAPAdOE ARArnHQ ARAFOHOE ARRAFWOE

808 808 808

ATSINA ATSINA GROS VENTRF

809 BLACKFOOT 809 BLACKr'OOT 809 BLOOD 809 PAEGAN 809 PEIGAN 809 PIEGAN 809 SIKSIKA

810 CHEYENNE 810 CHEYENNE 810 NORTHERN CHEYENNE 810 SHEYENNE 810 SOUTHERN CHEYENNE

811

812 DELAWARE 812 DELAWARE 812 LENAPE 812 LENAPI

Code Language

812 LENNAPE 812 LENHI-LENAPE 812 MUNSEE 812 WiAClI

Code Language

820 ODAWA 820 OTTAWA 820 OTTOWA

821 PASSAMAQUODDY 821 MALECITE 821 MALISEET 821 PASSAMAQUODDY

813 FOX 813 fox 813 MESQUAKIE 813 MUSOUAKIE

' 813 SAC 813 SAC AND FOX 813 SACK 813 SAUK 813 SAUK AND FOX

814 KICKAPOO

815 MENOMINI 824 POTAWATOMI 815 MENOMINE 824 POTAWATOMf 815 MENOMINEE 815 MENOMINI

816 FRENCH CREE 816 FRENCH CREE 816 MECHIF 816 MZTIS 816 MITCHIF

817 MIAMI 817 ILLINOIS 817 d17 Eli

KASKASKIA MIAMI PEOllIA

818 MICMAC 818 MICNAC 818 818 818

819 819 819 819 819 819 819 819

xc-MAC MICMAK MIKMAQUE

OJIBWA I_ CHIPPAWAY CHIPPEWA OJEBWA OJIBEWA OJIBWA OJIBWAY OJIBWE

822 PENOBSCOT

823 ABNAXI 823 ABANAKI 823 ABENAKI 823 ABNAKE 823 ABNAKI

824 POTEWATEMI 824 POTEWOTOMI 824 POTTOWATOMI

825 SHAWNEE

826 WIYOT 826 UEEVoT 826 WIYOT

827 YUROK 827 EUROC 827 YUROK

828 KUTENAI 828 KOOTENAI 828 KUTANAI 828 KUTENAI 828 KUTENAY 828 LOWER KOOTENAI 828 UPPER KUTENAI

829 ?uKAH

830 KWAKIUTL 830 KWAGULH 830 KWAKIUTL 830 KWAKW'ALA 830 QUILEUTE

820 OTTAWA 820 7llsizi

348

Code -

831 831 831 831 831 831

NOOTXA KYOQUOT NITINAT NOOTKA TSISHAATH UCUELET

832 not used

833 LOWER CHEHALIS

834 834 834 n34

UPPER CHEHALIS CHEHALIS SATSOP UPPER CHEH4LlS

835 835 835 835

CLALLAM CLALLAM KIALL4M SKLALIAM

836 836 836 836 836 836

COEUR D'ALENE COEUR D'ALENE COUER D'ALBNE SCHITSUI SKITSAMISH SKITSWISH

837 a37 837 a37 837 837 837 837

COLUMBIA CHELAN COLUMBIA COLUMBW-WENATCHI SINKIUSE WENATCHEE WENATCHI k'ENATCHI-COLUMBIA

838 838 838 838

COWLITZ COWLITCH COWLITE KDWLETIZ

839 SALISH 839 FLATHEAD 839 SALISH 839 SELISH

840 840 840 84d

NOOTSACK NOOKSAK NOOTSACK NUKSAK


841 841 841 841 841 841 841 841 841 841 841 841

OKANOGAN COLVILLE LAKE METHOW NESPELEM NESPELM OKANAGAN OKANAGON OKANOGAN OKINAGAN SANFGIL SOUTHERN OKANACON

842 PUGET SOUND SALISH 842 DUAMISH 842 DUWAMISH 842 LUSHOOTSEED 842 MUCKLESHOOT 842 NISQUALLI 842 NISQUALLY 842 NORTHERN PUGET SOUND SALISH 842 PUGET SALISH 842 PUGET SOUND SALISH 842 PUYALLUP 842 SAHF.WAMISH 842 SKAGIT 842 SNOHOMISH 842 SNOQUALMIE 842 SOUTHERN PUGET SOUND SALISH 842 SQUAXIN ISLAND 842 SQLMXON ISUND 842 SUQUAMISH 842 SMINOMISH

843 843 843 843 843

QUINAIELT QUINAIETL QUINAULT

844 044 844 844

TILLAMOOK SILETZ TIIAMUK TILLAMOOK

845 845 845

TWANA AMISH IVANA

349

Code Language

846 HAIDA 846 HAIDA 846 HAIDA MASSET 846 KAIGANI 846 MASSET 846 MASSET HAIDA 846 SKIDEGATB 846 SKIDEGATE HAIDA

847 847 847 847 a47 847 847 847

ATHAPASCAN ATHABASCAN ATHABASKAN ATHABASKIN ATH4YASCAN ATHAPASKAN DENE NA-DENF.

848 AHTF,iiA 848 AHTENA 848 AHTNA 848 ATNA 848 CHRISTOCHINA 848 CHITINA 848 GAKDNA 848 GAKONA-GUI&WA 848 GULKANA 848 GULKANA-GAKONA 848 MFNTASTA

849 HAN 849 HAN 84Y HANKUTCHIN

850 INGALIT 850 DEG XINAG 850 INGALIK 850 INGALIT

851 KOYUKON 851 INNER KOYUKON 851 KOYUKON 851 KOYUKUFHOTANA 851 0UTF.R KOYUKGN

Code Language

852 GWICHIN 852 GWICY'IN 852 KUCHIN 852 KUTCHIN

853 UPPER KUSKOKWIM

854 TANAINA 854 DENA'INA 854 KENAITZE 854 TAIANIA 854 TANAINA 854 TENAINA

855 TANANA 855 MINT0 855 TANANA

856 TANACROSS

857 UPPER TANANA a57 NABESNA 857 NORTHWAY 857 TETLIN a57 UPPER TANANA

858 TUTCHONE

859 CHASTA COSTA 859 CHASTA 859 CHASTA COSTA 859 CHETCO 859 COQUILLE 859 COSTA 059 GALEESE 859 GALICE 859 SMITH RIVER ATHAPASCAN 859 TOLOWA 859 TUTUTNI

860 HUPA 860 HOOPA 860 HUPA

861 (OTHER ATHAPASCAN-EYAK LANGUAGES) 852 KUCHIN 861 CAHTO 852 -SKAN OF THE GWICHA.4 GWICH'IN 861 KATO 852 GWICHAA GWICH'IN 861 MATTOLE

861 WAILAKI

350

Code

862 862 862 862

APACHE AFACHE FORT SILL FORT SILL APACHE

863 863 863 863

KIOWA KAYOWE KIAWAY KIOWA

864 864 364

NAVAHO NAVAHO NAVAJO

865 EYAK

866 TLINCIT 866 AUK 866 CHILKAT 866 WNA 866 KILLISNOO 866 SITKA 866 TAKU 866 TLINGIT 866 __ 866 866

867 867 867

86d NORTHWEST MAIDU 868 co NCOW 866 KOKOW 868 KONKOW 868 NORTHWEST NAIDU

869 869 869 869

870 x70 870 870 870 870 870

Language

TONGASS NRANGELL TLINGIT YAKUTAT

MOUNTAIN MAIDU MAIDU MOUNTAIN MAIDU

SOUTHERN MAIDU NISENAN NISHINAM SOUTHERN MAIDU

COAST MIrJOK BODEGA BODEGA MIWOK COAST MIWOK LAKE MIHOK MARIN NARIN MIWOK

Code Language

071 871 871

072 a72 072 a72 872 872

873 a73 873 873 a73 873

a74 074 874 874 874

875 875 875 875 875

876 876 876 876 076 876 876 876 876 876 876 876 876 876 876 876 876 I376 876 076

PLAINS MIWOK PLAINS MIWOK VALLEY MIWOK

SIERRA MIWOK CENTRAL SIERRA MIWOK MIWOK NORTHERN SIERRA MIWOK SIERRA MIWOK SOUTHERN SIERRA MIWOK

NOMLAKI NOMALACKI NOMLACKEE NOM-LAKA NO&AK1 TEHAMA

PATWIN COLOUSE NUMSU PAlWIN SUISUN

WINTUN CENTRAL UINTUN NORTHERN WINTUN UINTD WINTUN

FOOTHILL NORTH YOKUTS AITICHA AITICHA YOKUTS BOKlrINUWAD BOKJINUWAD YOKUTS CHOIUIMNI CHOINUMNEE CHUCKCHANSI CHUCKHANSI CHUKAIMINA CHUKCHANSI DALINCHI DALINCHI YOKUTS DUMNA DUMNA YOKUTS

ENTLMBICH ENTIMBICH YOKUTS FOOTHILL NORTH YOKUTS GOSHOWI GOSHOWI YOKUTS

-

351

Code - Language

876 KAUF.AH-TULE %76 KAWEAH-TULE YOKUTS 876 KECHAYI 876 KECHAYI YOKUTS 876 KINGS RIVER YOKLiTS 876 KOCHLYALI 876 KOCHEYALI YOKUTS 876 NORTHERN FOOTHILL YOKUTS 876 POSO CREEK 876 POSO CREEK YOKUTS 876 TOLTICHI tt76 TOLTICHI YOKUTS 876 TULE YOKUTS 876 TULE-Kt\WEAHYOKUTS 876 i4IKCHAMNI 876 'dJKCHAMN1 876 YAWDANCHI 876 YAWDANCHI YOKUTS 876 YOKUD

876 YOKUD YOKUTS 876 YOKUTS

877 a77 877 877

TACHI TACHE TACHI TATCHE

878 SANTIAM 878 CALAPOOIAH 878 CALAPOOYA 878 KALAP00L4H 87% KALAPUYA 878 MACKENZIE %7% SNiTLAt4 87% WAPATU

a79 879 879 879 879 879 879 879 879

SIUSLAW ALSEA coos HANIS KUITISH KUSAN LOWER UMPQUA MILUK SIUSLAW

880 KLAMATH 880 KJ.AMATH 880 MODOC

Code - Language

881 NEZ PERCE 881 LOWEK NE2 PERCE 881 NEZ PERCE 881 NEZ PERCKS 881 UPPER NEZ PERCE

882 882 882 882 882 882 882 882 882 882 882 882 882 882 882 882 882 882 882 %%2 882 882 882 882 882

SAHAPTIAN CELILO COLUMBIA RIVER SHAPTIN JOHN DAY KITTITAS KLIKITAT NORTHEAST SAHAPTIN NORTHWEST SAHAPTIN PALOUSE PALUSE ROCK CREEK SAHAPTLAN SAHAPTIN SHAHAPTIAN SHAPTIN TENINO TYGH VALLEY UMATILLA UPPER COWLITZ UPPER NISQUALLY WALLA WALLA WANAPAM WARM SPRINGS WAWYUKMA YAKIMA

883 883 %&3 883 883 883 883 883 883 883 883 883 883 883

UPPER CHINOOK CASCADES CHINOOK CLACKAMAS CLATSOP KATHLAMET KIKSHT KLATSOP MIJLTNOMAH TLATSOP UPPER CHINOOK WASCO WASCO-WISHM

WISHRAM

884 884 8811

TSIMSHIAN COAST TSIMSHIAN GIlXSAN

352

. Code -

884 GITKSAN TSIMSHIAN rJa4 NASS 884 NASS TSIMSHIAN 884 NISKA 884 NISKA TSIMSHIAN 884 TSHLYSHRAN 884 TSHIMSHIAN 884 TSHIMSIAN 884 TSIMPSHRAN 884 TSIMPSHQN 884 TSIMSHIAN

8%5 an5 835 YE5 885 885

ACHUMAWI ACHOMAWI ACHUMAWI HAT CREEK PIT RIVER PITT RIVER

886 ATSUGEWI 886 ASTUGE %Hb ATSUGEWI

887 KAROK 887 ARA 887 ARARA 887 AFAESA 887 ARRARA 387 AixFAmA 887 CAHROC 887 KAROK 887 KARUK a87 KARUKARA 887 KARUKAWA

88% POMO 88M CENTRAL POMO 888 CLEAR IAKB 888 CLEAR LAKB POMO 888 CLOVERDALE 88% CLOVERDALE POMO 888 DRY CREEK 888 DRY CREEK POMO 888 EASTERN POMO 88% GRATON 888 GRATON POMO 88% GUIDIVILLE 888 HABENAPO 888 BABEXAPO POMO


888 HOPLAND 88% KASHIA 888 KASHAYA 88% LOWEK LAKE POMO 888 MANCHESTER 88% NORTHEASTERN POMO 88% NORTHERN POMO 88% POINT ARENA 88% POHO 88% SALT POMO 88% SANTA ROSA 88% SANTA ROSA POMO 888 SEBASTOPOL 888 SEBASTOPOL POMO 888 SHERWOOD VALLEY 88% SOUTHEASTERN POMO 88% SOUTHERN POMO 88% SOUTHWESTERN POMO 88% UKIAH

889 SHASTAN 889 SHASTA 889 SHASTAN

890 890 890

WASH0 WASH0 WASHOE

891 UP RIVER YUMAN 891 CENTRAL YUMAN 891 UP RIVEK YUMAN

892 COCOMARICOPA 892 COCOMARICOPA 892 MARICOPA

893 MOHAVE 893 MOHAVE 893 MOJAVE

894 894 894 894 894 894

YUMA KUCHAN KUTCHAN QUECHAN YUMA

YUMAN

895 DIEGUENO 895 DIEGUENO

-.

353

Code Language Code Language

895 DIGUENO 985 IPAI 895 KAMEYAAY 895 KAMIA 895 KUMEYAAI 895 KUMEYAAY 895 TIPAI

903 YUCHI 903 EUCHEE 903 UCHEE 903 WCHI

904 904 904 904

CROW ABSARAKA

896 DELTA RIVER YUMAN 896 COCOPA 896 DELTA RIVER YUMAN

897 897 897 897 897

UPLAND YUMAN ARIZONA YUMAN NORTHERN YUMAN TONTO UPLANDYUMAN

89% HAVASUPAI 898 COCONINO 898 HAVASUPAI

899 899 899

WALAPAI HUALAPAI WAlAPAI

900 9ou 900 900 900 900

YAVAPAI APACHE-MOHAVE APACHE-YUMA MOHAVE-APACHE YAVAPAI YAVAPAI-APACHE

901 901 901 901 901 901 901 901 901 901 901 901 901

CHrJL4SH BARBAREMO CHIMARIKO CHUMASH CUYAMA ESSELEN ISLAND CHUMASH OBISPENO PURISMRNO SALINAN SANTA YNRE VENTURENO YNEEENO

902 902 902

TONKAWA TONKAWA TONKA4E

ABSAROKE CROW

905 HIDATSA 905 GROS VENTRE OF THE MISSOURI 905 HIDATSA 905 MINITAREE 905 MINITARI 905 MINITARREE

906

907 DAKOTA 907 ASSINIBOIN 907 BRULE 907 BRULE SIOUX 907 DA'CATAH 907 DAKOTA 907 DAKOTA SIOUX 907 HUNKPAPA 907 HiNKPAPA SIOUX 907 LAKOTA 907 LAKOTAH 907 LAKOTAH SIOUX 907 NAKOTA 907 NXKOTA SIOUX 907 OGLALA 907 oGLAL4 SIOuii 907 SANTEE 907 SIOUX 907 STONEY 907 TETON 907 YANKTON

90% 90% 908 908 90% 908 908 908

CHIWERE CHIWERE IOWA IOWAY OTO OTTA OTTO OTTOE

.-

354

Code - Language Code Language

909 909 909 909 909

WINNEBAGO HO-CHUNK tiONCHANGAlU ‘WINEBAGO WINNEBAGO

910 910 910 910

KANSA KANSA

911

912

913

KANSAS !UW

OMAHA

OSAGE

PONCA

914 QUAPAW 914 AKANSA 914 ARKANSAS 914 QUAPAW

915 AIABAi%4

916 916 916 916 916

CHOCTAW CHACTAW CHICKASAW CHICKASHA CHOCTAU

917 917 917 917 917 917

MIKASUKI EELAPONKB EELAPONKIE IIICCOSUKEE ?lIKAsuKE XIKASUKI

918 918 918 918 918

HICHITA APAuCH1c0LA HICHITA HICHITEE HICHITI

919 919 919 919

KOASATI COUSHATTA KOASATI KOASSArI

920 MUSKOGEE 920 CREEK 920 EIUSCOGEE 920 MUSCOKI 920 biuswocm 920 MUSKOGEAN 920 HUSKOGEE 920 MUSKOHGS 920 SEMINOLE

921 CHETEMACHA 921 CHETEMACHA 921 CHETIMACHA 921 CHITIMACHA 921 SHETIMACHA

922 922 922 922 922

YUKI COAST YUKI tlucHNoM NORTHWEST YUKI YUKI

923 iJAPP0

924 924 924 924 924 924 924 924 924 924 924

KERES ACOMA COCHITI KSRES KERESAN LAGUNA SAN FELIPE SANTA ANA SANTO DOMINGO SIA ZIA

925 IROQUOIS 925 IROQUOIS 925 SIX NATIONS

926 926 926 926 926

i*OHAWK IROQUOIS-MOHAWK MOHiWK NOHAWK-IROQUOIS SAINT REGIS

927 927 927

ONEIDA ONEIDA ONEIDAH

355

Code

928

Language

ONONDAGA

929 CAYUGA

930 SENECA

930 ALLEGHANY 930 SENECA

931 931 931 931

TUSCAROFA TUSCAKORA TuscARoFAN TUSKARORAN

932 932 33: 932 932

'WYANDOT HLIRON wYANDOT WYANDOTT WYANDOTTE

933 933 933 933 933 933

CHEROKEE CHERAKEE CHSRUKHE CHEXOKEE KEETOOWAH MIDDLE CHEROKEE NORTH CAROLINA CdEROKRE

934 934 934 934 934

ARIKARA .ARIKm ARIKARE ARIKAREE RRE

935 935 935 935

CADDO CADDO CADDOE HASINAI

936 PAWNEE 936 PAWNE. 936 PAWNEE 936 PAWN1

937 937 937 937

LiICHITA WICHITA NITCHITA vlITSHITA

Code Language

938 938 938

CONANCHE COMANCHE

939 NON0

939 MONACHE

939 MONACHI 939 m)NO 939 MONO PAIUTE 939 OWENS VALLEY PAIUTE 939 PAIUTE MONO

940 PAIUTE 940 PAIUTE 940 TIALITE

941 941 941 941 941 941 941

NORTHERN PAIL'TE BANNOCK NORTHERN PAIUTE NUT-l NlJ-MUH PAVIOTSO SNAKE

942 SOUTHERN PAIUTE

943 943 943 943

CHEMEHUEVI CHEMEHUEVI CHEMUEVI CHIlaHUEVI

944 KAWAIISU

945 UTE

946 946 946 946 946 946 946

SHOSHONI GOSHIUTE SHOSHONE SHOSHONEE SHOSHONI WIND RIVER WIND RIVER SHOSHONE

947 947 947 947

PANAMINT coso KOSO

PANAMINT

948 HOPI

356

Code - languaw

949 CARUILLA

949 CARUILIA

949 CAHUILLO

949 KAUIA

950 950 950 950 950

CUPENO -1ENTE CALIENTE CUPENO KUPA

951 951 951 951 Y51

LUISENO TiIiEa LUISENO SAK LUIS ?lISSION SAN LUIS KEY

952 SERRANO

953 TUBA'NIABAL

954 954 954 954 954 954 954 954 954 954 954 954 954

PIXA xi?EAM GE AJI GIGIMAI HlJHHU'UL4 HUHUWASH KOHADK KOKOLOLODI O'ODBAM P.4pAGO PIMA PIMAN TOTOGUtiI

955 YAQUI

956 956 956 956

AZTEC AZTEC MEXICAN0 NAHUATL

957 TARAHLMARA

957 RARAMURI 957 TARABUMARA

958 not used

959 PICURIS

959 NORTHERX TIWA

Code

959 959

960 not used

961 961 961 961 961 961

TIWA ZZTA SOUTHERN TIWA TIGUA TIWA YSLETA

963 963 963 963 963 963 963 963 963 963 963 963

TEWA iixi5 HOPI-TEWA NAHBE POJOAQUE POJOQUS SAN ILDEFONSo SAN JUAN SANTA CIARA TESQUE TESUQUE TENA

964 TOWA

964 mz

964 TWA

965

966 966 966 966

CHINOOK JARGo CHINOOK JARGON JARGON PIOBILLAN

967 INDIAN

969

970 970 970 970 970

971

Language

PICURIS TAOS

SANDIA

CAKCHIQ'JEL

MAYA MAVA MAYAN YUCATEC YUCATECO

QUEKCHL

357

Code -

972


QUICHE

Y73 973 973

ARAUCANIAN ARAUCANIAN MAFUCHE

974 AYMARA

975 975 975 975 975 975

~ISLAND CARIB BLACK CARLB CARIB CARIB BLACK GARIFUNA ISLAND CARIB

976-977 not used

978 CUNA 978 Tizi 978 SAN MIAS CUNA

979 GUARANI

980 GUAYMI

981 981 981

MIXTEC MLXTEC MIXTECO

982 982 932

QUECHUA INCA QIJBCHUA

933 933 983

TARASCAN TARASCAN TARASCO

984 984 984 984 984

TUPI GEHAL LINGUA LINGUA GERAL TUPI

985 985 985

ZAFOTEC 'ZAPOTEC ZAF'OTECO

986 JICARILLA 936 JICARILLA 986 JICAKILM AFACHE

986 LIPAN 986 LIPAN APACHE

9.37 987 987 987 987

CHIRICAHUA CHIRICAHUA CHIRICAHUA APACHE MESCALERO MESCALERO APACHE

988 988 988 988 988 988 983 988 988 988 988 988 988 938 988

SAN CARLOS APACHE-CIBECUE APACHE-CIBEQUE CIBECUE CIBLCUE APACHE CIaEQuE CIEEQUE AFACHE NOKTHERN TOl<TO APACHE SAN CARLOS SAN CAFSOS APACHE SOUTHERN TONTO APACHE TONTO APACHE WESTERN APACHE NHITE MOUNTAIN WHITE MOUNTAIN APACHE

989 KIOWA-APACHE

990 990 990 990 990 Y90 990

KALISPEL KALISPEL KALISPELM LOWER PEND D'OREILLES PEND D'OREILLES UPPER KALISPEL UPPER PEliD D'QREILLES

991 SPOKANE 991 CHEWELAH 991 SPOKAN 991 SPOKANE

992-996 not used

997 LANGUAGE SPECIFIED BUT NOT ON LIST OR LANGUAGE NOT KNOWN AND NOT ALLOCATED

not used

358

APPENDIX 38

CODE LIST FOR ANCESTRY ENTRIES

Ancestry refers to respondents' written entries on the census questionnaire. some entries may appear to be indicative of race but are not "sable as such.

, country of origin, ethnicity, etc., Other entries (such as Eurasian) may be considered

to be indicative of multiple entries, gories for census purposes.

but are treated as single ancestry cate- The ancestry categories are not edited to be

consistent with other responses for a person, and usage for other tba" ancestry tabulations may yield inconsistent or erroneous results.

For tallying, the following priority rules were established for Identifying a person as being of single ancestry. multiple ancestry, as having ancestry classified as not specified, or as having ancestry not reported.

Each person is assigned a 6-digit code. The first 3-digits comprise the p&nary ancestry code and the last 3 digits the secondary ancestry code.

1. A person is of single ancestry.

a. If the primary code is 0 to 899, 903 t" 905, or 908 to 919 and the

secondary code is 900 to 902, 906, 907 or 937-999. The single ancestry is that specified in the primary code.

b. If both the primary and secondary codes are 0 to 899, 903 to 905. or

908 to 919 and the primary and secondary codes are equal or are entries within a grouping defined as a c"mm"n ancestry (see code ranges for common ancestry). (However, tally specifications may dictate variations in the c"mmo" ancestry groupings.)

2. A person is of multiple ancestry,

a. If the primary code is YZV to 936. (Secondary code is irrelrvant.)

b. If both the primary and secondary codes are 0 to UYY, YU3 to YOS or 908 to 919 and the primary and secondary codes are not entries within a grouping defined as a common ancestry.

3. A perso" is classified as having ancestry not specified, if the primary code is 900 to 902, 906, 907 or 937 to Y98. (Secondary co"e is Irrelevant.)

4. A person is classified as not reported, if the primary code is 9Y9 (Secondary code is irrelevant.)

Tabulations of ancestry may necessitate the counting of a" individual m"re than once. For example , in a particular tabulation the category of persons of "Lnglish ancestry" could Include those persons of mixed ancestry with English identified as one of the multiple origins 8s well as those who specify English as their only ancestry. Persons of multiple ancestry may also be tabulated for each of the other ancestry groups depending on the tally specifications. is a list of the ancestry categories and codes:

Following

359

I.

II.

III.

IV.

V.

VI.

VII.

VIII.

IX.

X.

XI.

XII.

XIII.

CODE LIST FOR ANCESTRY ENTRIES

Table of Contents

Western Europe (except Spain)

Eastern Europe and Russia

Spanish Categories

Caribbean, Central and South America (except Spanish Categories)

North Africa and Southwest Asia

Subsahara" Africa

South Asia

Other Asia

Pacific

Xorth America (except Spanish Categories)

Unique Three-Origin Multiple Ancestry Categories

Residuals and No Response

Code Ranges for Common Ancestry

l-99

100-199

ZOO-299

300-399

400-499

500-599

600-699

700-799

800-899

900-919

920-936

937-999

1-911

360

-~ Code Ancestry

l-99

l-2 1 1 2 2 2 2 2 2

WLSTEKN EUROPE (EXCEPT SPAIN)

Austrian Austria" Austria Tirol Tirolea" Tirolese Tyrolean Tyrolese Tyrol

3 3 3

4 4

Basque Basque

5-7 Belgian 5 delgian 5 Belgium 6 Flamand 6 Flanders 6 Fleming b Flemish 6 Vlamand 7 Walloo"

8-10 8 8 8 8 9 9 10 10

11

Cypriot Cypriot cyprian Cypriote Cyprus Cypriote-Greek Greek-Cypriote cypriote-Turk Turkish-Cypriote

Icelander Icelander Icelandic Iceland

11 11 11

12 12 12 12

Andorra* Andorra" A"dorra

Danish Danish Dane Denmark

Code -

13 13 13 13 13

14-15 14 14 14 14 14 14 14 14 14 15 15 15 15

Ancestry

Faeroe Islander Faeroe Islander Faeroes Faeroe Islands Faroe Islands

Dutch Dutch Iutchman tbllander Holland Netherlander Netherlandic Netherlandian Netherlands Amsterdam Friesian Frisian Friesland .Frieslan Islands

16-18, 96 English (see codes 96 and 97) and 97 16 Lnglish 16 England 16 Anglican 16 Nayi1ower 17 Channel Islander 17 Guernsey Islander 17 Jersey Islander 18 Cornish 18 Cornwall

19 Welsh 19 Welsh 19 Welch 19 Wales

20 Scottish 20 Scottish 20 Scot 20 Scotch 20 Scotland 20 scats 20 scottie 2u Orkney Islander

561

Code -

20 20 20 2u

21 21 21 21

22 22 2.2 22 22 22 22 22 22 22 22 22 22

23 (not used)

24-27 24 24 24 25 25 26 27

Finnish Finnish Finn Finland Livonian Liv Karelian Aland Islander

28-31, French (see code 98)

28 French 28 France 28 Franco 28 French Creole 28 Gascon 28 Provencal 28 Provence 28 Norman 28 Normandy 29 Breton

Ancestry Code

Pitt Pistish Shetland Shetland Island

2Y Brittany 30 corse 30 Corsica" 30 Corsica 31 French Basque 31 Sasque (French) Ma”X

ELanx Nanx Islander Isle of 1%"

Northern Ireland Northern Ireland Ulsterite Ulsterma" Ulster Orangeman Antrim Armagh Dow" Fermanagh nerry Landonderrv

32-44 (;etTD.a* 32 GetXW" 32 Germany 32 East German 32 West German 32 Pennsylvania Ultch 32 Pennsylvania *ran 33 llZ3VS.ria" 33 Bavaria 34 Berlin 35 Black Sea German 35 Volga 36 Hamburg 37 !&**0ver 37 Ha*CWer 38 Hessian 39 Lubecker 40 Lusatia" Sorb 40 Sorb 40 Wend 40 Wendish 41 Prussian 42 Sachsen 42 saxon 42 Saxony 43 Westphalian 43 ivestfalen 44 Suaeren 44 Sudetenlanaer 44 Sudetes

45 Gibraltan 45 Gibraltan 45 Gibraltar

46-48 46 46 47

Greek Greek Greece Cretan

362

Code - .kKe5try Code Ancestry

47 Crete

'1n Cyclades 48 Cycladic Islander 48 Dodecanese Islander 48 Pt!lOpOllll~Si~Il

49

50 50 50 50 50 50 50 50 50 50 50 50 50 5U 50 50 50 50

(not used)

Irish Irish Ireland Black Irish ce1t Celtic Celtish Dubliner Dublin Eir.2 Irish Free State ClalX Cork Donegal Gal way Kerry Ki1dare KilkeIltly Laoighis Leitrim Leix Limerick Longford Louth i*ap Heath Nonaghan 0ffaly ROSCOmmOn Sligo Tipperary Waterford westmeath Wexford WiCklOW

50 50 50 51) 50 50 50 51) SO 50 50 50 50 5U 50 50 50

51 (not used)

52-73 52 52 52 52 52 53 54 54 55 55 56 56 57 57 57 57 57 58 59 59 60 60 60 61 61 62 62 62 63 63 64 65 65 66 67 67 68 68 69 69 69 70 71 71

Italian Italian Ltaly 1ta1o San narino Trieste Abruzzi Apulian Apulia Basllicata LUCSUIS Calabrian Calabria Amdfian Amalfitani Amalfi campanian Campania bilia-Romagna Friulian Friulia LUiO Vatican city ROW3 LQlXiEUl Liguria Lombard Loobardian Lombardy Zlarche Harches blo1ise Piedmontese Piedmont PUglia Sardinian Sardegna Sicilian Sicily TOSCSIIS TUSCSll Tuscany Trentino Urnbrian Umbria

363

Code Ancestry

72 Valle D'Aosta 73 Venetian 73 Veneto 73 VeoeZis

74 Liechtensteiner 74 Liechtensteiner 74 Liechtenstein

75 Luxemburger 75 Luxemburger

75 Lwemburg 75 Luxembourgeois 75 Luxembourger 75 Luxmbourg

76 Maltese 76 Maltese 76 Malta 76 Go20

77 77 77 77

xonegasque xoonegasque

7n 78 78 78 78 78 78 78

Norse

Norsk .Uol-Way fan Neyen Islander Spitsbergen Svalbard Islander

79-a] Portuguese 79 Portuguese 79 Lusitanian

79 Lusitania 79 LUSO 79 Portugal 80 Azorean 80 AZO?Cian

a0 &ores Islander al Madeiran al Madeira Islander

a2 a2 a2 82

Swedish Swedish Sgede Sweden

Code Ancestry

83-87 Swiss

a3 Swiss 83 Switzerland a4 Schweiz a4 suisse a4 switzer a5 Ladin

a5 Romansch a5 Ronansh 86 Ticino a7 Suisse-Romne

aa aa 8a aa 88 aa

* LsPP Lappish Lapland Lsplander Samelat

a9 Scandinavian 89 Scandinavian a9 Scandinavia a9 Nordic

90-91 Alsatian 90 Alsatian

90 Alsace-Lorraine 91 Lorraine

91 Lorrainian

92-95 Other 92 European 92 Europe 93 Western European 93 West Europe 94 Northern European 94 North Europe

95 Southern European

95 South Europe

96 British Isles 11

97 British I/ 97 Briton 17

97 Britain-l/ 97 Great Britain l/

97 United Kingdom-11 97 G.B. 11 97 U.K. i/

I/ Tabulated with English. - 364

Code Ancestry

98 Acadia 21 9Y A\csdian-2/

98 Cajun 2r

99 (not used)

100-199 EASTERN EUROPE AND RUSSIA

100 Albanian 100 Albanian 100 Albania 100 Geg 100 Gheg 100 Tosc 150 TOSK

101 (not used)

102-103 Bulgarian 102 Bulgarian 102 Bulgar

102 Bulgaria 102 Eastern Rumelian 103 Macedonian

104-105 104 104 104 104 104 104 104 105 105

Czechoslovakian CzechoslovaKian Czechoslovakia Chech Chekh Czech Tczechoslovakian TczechoslovaKi= Bohemian Moravian

106 Slovak 106 slo;;;k 106 Slovakian

107-110

111 111 111

112

113-114 113 113 114

(not used)

Estonian Estonian Estonia

(not used)

Hungarian Hungerian nungary Magyar

Code Ancestry

115-116 (not used)

117 Latvian 117 Latvian 117 Latvia 117 Lawi 117 Lett 117 Lettish

118-119 (nor used)

120 Lithuanian 120 Lithuanian 1% Lithuania

120 Jnoud

121 (not used)

122-124 Polish 122 Polish 122 Pole 122 Poland 122 Polonia 122 Polska 122 Masurian 123 Poneranian 123 Pomern 123 Silesian 124 Kashube 124 Kashubian

125-129 125 125 125 125 126 126 126 126 127 128 129 129

Romania Roumaniao Romania Bessarabian Bucovins Bukovina Dobruja Moldavia Transylvanlan Vlach Wallachian

130 (not used)

131 Yugoslavian (n.e.c.) 131 Yugoelavian 131 Yugoslav

2, Tabulated wlfn French. - 365

Code Ancestry

131 Yugoslsvia

131 Jugoslsvia 131 Venezia Giulis

132 (not used)

133 133 133 133 133 133 133

Croatian Croatian Croat Croatis Dalmatian Zadar Zara

134-135 (not used)

136 Serbian 136 Serbian 136 Serb 136 Bosnian 136 Herzcgovlnian

136 Montenegrin

137 137 137

Sloven= Sloven= Slovenian

138-139 (not used)

140-156 140 140 140 140 140 140 140

Russian Russian

140 140 141 141 141 142 142 142 142 142 142 142 142

Russia Rossiya Rusym Soviet Union U.S.S.R. Union of the Soviet Socialist Republics

Black Russisn Great Russian ?hlscovite Moscow Moskva Crimean Kuril Islander Kurile Islander Kurilisn Sakhalin Islander Saghalien Siber Siberian

Code Ancestry

142 Buriat 142 Buryat 142 Bslkar 142 Dagestan 142 Daghestan 142 Komi 142 Marl 142 Tuva 142 TUVilliZdU 142 Soviet Central Asia 143 Azerbaidzhan 143 Adjerbaijani

143 Azerbaijani 143 Azeris 144 Bashkir 145 Chevash 145 Chuvash 146 Yakut 147 Kszak 147 Kazakh 147 Cossack 148 Kirghiz 148 Kirgiz 149 Mordovian 149 Hordva

150 Ossetiar? 151 Tadjik 151 Tadzhik 151 Tajik 152 Tartar 152 Tatar 153 Turcoman 153 Turkmen

153 Turkmenian 153 Turkmenistan 153 Turkestani 153 Turkoman

153 Turkumsn 153 Turkomen 154 Lldmurt 155 Usbeg 155 Usbek 155 Uzbek 155 Uzbeg 156 Votyak

157-158

159 159 159

(not used)

Armenian Armenian Armenia

366

Code Ancestry

160 (not used)

161 Georgian 161 Georgian 161 Georgia

162 (not used)

163-164 Ruthenian 163 Ruthenian

163 163 lb3 163 164 164

Ruthenia Little Russian nslo-Russlan Red Russian Carpathian Carpatho

165 (not used)

166 166 166

Llkrainisa Ukrainian Ukraine

167 (not used)

168 Belorussian 168 Belorussian 168 Bvelomssian 168 White Russian

169 (not used)

170 170 170 170 170 170

Slav Slav Slavic Slavish Slsvoaic Slavonian

171 (not used)

172 172 172 172 172 172 172 172 172 172

Gypsy GYPSY Rom Romani Ronmany ROUiany Boyssh Cali Dom Kalderash

Code Ancestry

172 Luri 172 Nat 172 Sent1

173-174 Other 173 Eastern European 173 Fast Europe 174 Central European 174 Central Europe

175-199 (not used)

200-299 SPANISH

200-204 200 200 200 200 200 200 200 200 200 200 200 200 201 201 201 201 201 201 201 201 201 202 202 202 202 203 203 204 204

Spaniard Spaniard Spain Espanol (a) Espana Castilian Castillian Castellano (a) Castile Lbero Iberian Valenciano (a) va1encian Balearic Islander Canarian Canario (a) Canary Islander Maj orcan ?lajorca Msllorcan Ms11orquin (a) Ms11orca Basque (Spanish) Spanish Basque vasco (a) Euskslduns Catalan (a) Catalonian Gallego (a) Galician

205-208 Spanish 205 Spanish 206 Spanish American 207 Iiispanic 207 Hispan (a) 208 California

36:

Code -

209-212 209 209 209 210 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 211 212

Mexican Mexican Mexican0 (a) MeXiCO Mexican-American Nuevo Mexican0 Tejano (a) Aguascs1ientes Baja California Csmpeche Chiapas Chihuahua Coahuila C0lilUa Distrito Federal Durango Guanajuato GUl3i-?X~O Hidalgo JdiSCO

La Rasa Michoacan MOXlOS Nahuatl Nayarit NUeVO Leon O~X.?lC~

Puebla QUeEXarO Quintana ROO San LuiS potosi sinaloa Sonora Tabasco Tama+ipaS Tlaxcala Tlaxkala VeraCWZ Vera cl-u2 Yucatan zacatecas Chicano (a)

213 Puerto Rican

213 Puerto Rican

213 Puertorriqueno (a) 213 Puerto Rico 213 P.R. 213 Boricua 213 Borinqueno (a)

Ancestry Code Ancestry

214 Cuban 214 Cuban 214 Cubano (a) 214 Cuba 214 Cuajiro (a)

215 215 215 215 215 215

Dominican0 (a) Dominican Republic D.R. Santa Domingo

216 Argentinean

216 Argentinean 216 Argentinian 216 Argentina (a) 216 Argentine 216 Argentina

217 Bolivian

217 Bolivian 217 Bolivian0 (a) 217 Bolivia

218 218 218 218

Chilean Chilean Chileno (a) Chile

219 Colombian 219 Colombian 219 Colombiano (a) 219 Colombia

220 (not used)

221 221 221 221 221

costa Rican Costa Rican costarricense costarriqueno (a) Costa Rica

222 (not used)

223 Ecuadorian 223 Ecuadorian 223 Ecuadoran 223 Ecuatoriano (a) 223 Ecuador 223 Galapagos Islander

368

Code Ancestry Code Ancestry

224 (not used)

225 225 225 225

Guatem=l=' Guatemalan Guatemlteco (a)

237 Salvadorem (a) 237 El Salvador 237 Salvador

238 (not used) Guatemala

226 (not used)

227 Honduran Honduran Hondureno (a) Honduras

227 227 227

228 (not used)

229 229 229 229 229

Nicaraguan Nicaraguan Nicaragueno (a) Nicaraguense Nicaragua

230 (not used)

231 231 231 231 231

Panamen (a) Panama cam1 zone

232 (not us3d)

233 233 233 233 233

Paraguayan Paraguayan Paraguayan0 (a) Paraguay0 (a) Paraguay

234 (not used)

235 235 235 235

Peruan (a) Pel-U

236 (not used)

237 Salvadoran 237 Salvadoran 237 Salvadorem 237 Salvadorian

239 239 239 239

uruguayan uruguayan uruguayo (a) UrUgUaY

240 (not used)

241 Venezuelan 241 Venezuelan 241 venezo1ano (a) 241 Venezuela

242 242 242 242 242 242 242 242 242 242

Central American Central American CentroamerIcano (a) Central America America Central Latin Anerican Latinoamericano (a) Latin0 (a) Latin America Latina

243 South American

243 South American 243 Sudamericano (a) 243 South America 243 Sudamerica 243 America de1 Sur 243 Criollo (a)

244-299 (not used)

300-399 CABBIBBW, CENTRAL AND SOUTH mmm (EXCEPT SPANISH CATEGORIES)

300 Bahamian 300 Bahamian 300 Bahamas 300 Bahama Islander

301-303 (not used)

.-

36s


304 Cayman Islander 321 304 Cayman Islander 321

305 (not used) 321 321 321

British Virgin Islander British Virgin Islander Barbuda Islander Barbuda* Tortolan

306 306 306 306

Haitian Hairinn Haiti liayti

307 (not used)

322 Caribbean 322 Caribbean 322 Caribbean Asian 322 Caribbean East India* 322 West Indian Creole

308 308

Jamaican Jamaican

Other British West Indian (see code 341, on page 13)

309 (not used)

310-312 Dutch West Indies 310 Dutch West Indies 310 Black Dutch 310 Netherlands Antilles 311 Aruba Islander 311 Aruba 311 Bonaire Islander

311 Curacso Islander 312 Saba Islander 312 St. Eustatius Islander 312 St. Marten Islander (Dutc

313 (not used)

323-326, and 341 323 323 324 324 324 324 325 325 325 325 325 325 325 325 325 326 326

314-316 Trinidadian/Tobagonian 31$ Trinldadian/Tobagonian 315 Trinidadian 315 Trinidad 316 Tobagonian

316 Tobago

British West India* British West Indies Turks and Caicos Islander Grand Turk Islander Turk Islander Caicos Islander Anguillan Anguilla Islander Antigua Antigua Islander Montserrat Islander Nevis Islander Redonda Islander St. Kitts Islander Sobrero Islander St. Christopher Islander St. Vincent Islander

327-328 Dominica Islander

327 Dominica Islander 328 Grenadian 328 Grenada Islander 328 Grenadines Islander

317-319 (not usea) 329 St. Lucia Islander

329 St. Lucia Islander 320 U.S. Virgin Islander 320 U.S. Virrin Islander 320 Virgin Islander 320 Cru2e.n 320 Santa Cruz 320 St. Croix Islander 320 St. John Islander 320 St. Thmas Islander

330-332 French West Indies 330 French West Indies 331 Guadeloupe Islander 331 Martinicois

331 Martinique Islander 331 St. Martin Islander (French)

370


332 Cayenne 332 GUiWUX? 332 Guyenne 332 French Guiana

332 French Guianese

400 400 400

Algerian Algertan Algeria

401 (not used)

333-335

333 333 333 334 334 334 334 335 335 335 335 335

Other West Indies/Caribbean/ Central American

West Indian West Indies Espanola Islander Aravak Black Carib Carib Garifuna Belice Beliceno Belize BeliZeaIl British Honduran

402 Egyptian 402 Egypti=* 402 W'i't 402 Copht 402 Copt 402 Fellah 402 Fellaheen 402 Fellahin 402 United Arab Republic

403 (not used)

336 Brazilian

336 Brazilian

336 Brazil

404 Libyan 404 Libyan 404 Libya 404 Tripolitanian 404 Tripoli

405 (not used)

337 San Andre6

338 338 338 338

Guyanese Guyanese Guyana British Guiana

406-407 406 406 406 407

Moroccan Moroccan Morocco Tangier Ifni

339 339

340 340 340 340 340

341 341

342-399

400-499

Providencia Providencia

408 408 408 408

Tunisian Tunisian

Surinam Surinm Suriname Dutch Guiana Netherlands Guiana

Tunisia Tunl s

409 Moor 409 Moor 409 Moorish

Barbadian 11 Barbados J/

(not used)

410 Berber 410 Berber

NORTH AFRICA AND SOUTHWEST ASIA

411-413 Other North Africa 411 North African 412 Alhucemas 412 Ceuta 412 Nelilla 412 Chafarinas 413 Rio de Ore, 413 Sanguia el Hamra

3/ Tabulated with Other British West Indian.

371

Code Ancestry

414 Bahraini 414 Bahrain1 414 Bahrain 414 Bahrayn 414 Bahrei* 414 Bahreini

415 Iranian 415 Iranian 415 Irani 415 Iran 415 Teheran 415 Tehran 415 Persia* 415 Persia

416 (not used)

417 417 E-2+ 417 Ir& 417 Irak

418 (not used)

419 Israeli 419 Israeli 419 Israel

420 (not used)

421 Jordanian 421 Jordanian 421 Jordan 421 Hashemite 421 Hashimite

422 (not used)

423 Kuwaiti 423 Kuwait1 423 Kuwait

424 (not used)

425 Lebanese 425 Lebanese 425 Lebanon 425 Beirut

426 (not~used)

Code Ancestry

427 Saudi Arabian 427 Saudi Arabian 427 Saudi 427 Saudi Arabia

428 (not used)

429-432 429 429 429 429 429 429 430 431 431 431 431 432 432

Syrian Svrian S&i* Drus= Drusean Drusian Druze Aramean Jebel Druse Djebel Druze Jebel Druze Jebel ed Druz Latakian Latakia

433 (not used)

434 434 434 434 434 434 434

Turkish Turki.h Turk Turkey Cordian Haray Asia Xtnor

435 435 435 435 435

Yemen1 Yemeni Yemen Yemenite Yemen Arab Republic

436-448 Other Southwest Asia 436 t&scat 437 Oman1 437 Onan 438 Trucial Oman 439 Qatar 440 Aden

440 Aden Protectorate 441 Kuria Muria Islander

442 Bedouin 443 Kurd 443 Kurdish

372


444 444 445 445 446 446 447 448

448

Palestinian Palestine Trans-Jordan Transjordan Gazan Geza Strip West Bank People‘s Democratic Republic of Yemen

South Yemen

449 Arabian 449 TcaTs 449 Arabia 449 Arabic 449 Arab

450-451 450 450 451 451 451 451 451 451 451 451

Middle Eastern Middle Eastern Mideast United Arab Emirates Trucial States Abu Dhabi Ajmen Dubai Fujairah Kas al-Kaiaah Umm al-Qaiuein

452 452 452 452 452 452

Assyrian Assyrian Assyria Chaldean Jacobite Nestorian

453-499 (not used)

500-599 SUBSARABAN AFRICA

500 Angola 500 Angola 500 Angola 500 Cabinda

501 (not used)

502 Benin 502 Benin 502 Dahoman 502 Dahomean

502 Dahomey 502 Dahomeyan 502 Fon

503 (not used)

504 Botswana 504 Botswana 504 Bechuana 504 Botswanaland 504 Bechuenaland

505 (not used)

506 506 506 506

Burundian Burundian Burundi Urundi

507 (not used)

508 508 508 508 508

Cameroonian Cameroonian Cameroon Cameroun Fako

509 (not used)

510 Cape Verdean 510 Cape Verdzan 510 Cape Verde Islander 510 Breve

511 (not used)

512 Central African Republic

512 Central African Republic

512 Ubangi-Shari

513 Chadian

513 Chadian

513 Chad

514 (not used)

515-516 515 515 516

Congolese Congolese Con& Congo-Brazzaville

517-518 (not used)

373

Code - Ancestry

519 Djibouti 519 Djibouti

519 Jibuti

519 Afar6 and Issas

520-521 Equatorlal Guinea 520 Equatorial Guinea

520 Rio Mull1 521 Aunobon Islander

521 Bioko Islander

521 Corsica Islander

521 Elobeis Islander 521 Fernando PO Islander

522-523 Ethiopian

522 Ethiopian 522 Ethiopia 522 Abyssinian 522 Abyssinia 523 Eritrean

523 Eritrea

524 (not used)

525 525 525 525 525

Gabonese Gabonese Gabon Gaboon Gabun

526 (not used)

527 Gambia*

527 Gambian 527 Gambi*

528 (not used)

529 529 529 529 529 529 529 529

530 530 530

Ghanian Ghanian Ghana Ghanese Ghanaian Ashanti Gold Coast Twi

Gulnean Guinea Guinea

Code Ancestry

531 Guinea-BissSU 531 Guinea-Bissau

532 Ivory Coast

532 Ivory coast

533 (not used)

534 Kenyan 534 Ken yan 534 Kenya

535-537 (not used)

538 Lesotho 538 iIzzizs 538 Basuto

538 Basutoland

539-540 (not used)

541 Liberian 541 Liberian

541 Liberia

542 (not used)

543 543 543

544

Madagascan Madagascan iiladagascar

(not used)

545 545 545

546 546 546

Malawian Malawian HSlSWi

Malian Malian Mali

547 547 547

548

549 549 549

Mauritania* i-huritanian Nauritania

(not used)

Mozambican ~ozambican Mozambique

374


550 Namibian 550 Namibian 550 Namibia

568 Sonali Republic 568 Somalia

551 Niger 551 Niger

569 Swaziland 569 Swaziland

552 (not used) 570-574 South African 570 South African

553-557 Nigerian 553 Nigerian 553 Nigeria 554 Fulah 554 Fulani 555 :*Lt.%

556 Ibo 557 TiV 557 Yoruba

570 570 571 571 571 571 571

558 (not used)

559 559 559 559 559 559

Rhodesia Rhodesian Rhodesia Southern Rhodesia Zimbabwe-Rhodesia Zimbabwe

572 572 572 573 573 574 574

South Africa Republic of South Africa Orange Free State Pretoria Transki Transvaal Union of South Africa Afrikander Afrikaner Boer Natal Natalian Zulu Zululand

575 (not used)

560 (not used)

561 Rwanda 561 Rwanda 561 Rwanda

562-563 (not used)

576-580 Sudanese

576 Sudanese 576 Soudan 576 Soudanese 576 Sudan 577 Dinka 578 Nue r 579 Darfur 579 Fur 580 Baggara

564 Senegalese 564 Senegal 564 Dakar

581-583 (not used)

565 (not used)

566 566 566

Sierra Leonean Sierra Leonean Sierra Leone

584-586 Tanzanian 584 Tanzanian 584 Tanzania 585 Tanganyikan 585 Tanganyika 586 Zanzibar1 586 Zanzibar Islander

567 (not used) (not used)

568 Somalia* 568 Samlian

508 s 588 Togo 588 Togoland

375

Code AXeStry

588 Togolander

588 TOgOlC?se

589

590 590 590 590

(not used)

Ugandan ugandan Uganda Lugbara

591-592 591 591 592

593 593 593 593 593 593

zairian ZairiaU Zaire Belgian GallgO Congo-Ktnshasa Kinshasa

594 Zambian

594 Zambian 594 Zambia

595-599 595 595 595 596 596 5V6 597 597 597 597 597 598 598 599 599 599 599 599

599 599 599 599 599

Other Subsaharan Africa African Africa Afro Central African Central Africa Middle Congo Eastern African East Africa Galla Kikuyu Masai western African west Africa comoros Islander Mauritian Mauritius Islander ~rincipe Islander Reunion Islander Sao Tome Islander Seychelles Islander St. Helena Islander St. Pierre Islander Tristan da Cunha Islander

Upper Voltan Lboer Voltan Upper Volta Volta

Code Ancestry

600-699 SOUTH ASIA

600-602 Afghan 600 Afghan 600 Afghanistan 601 Baluchi 601 Baluchistan 602 Pathan

603-604 (not used)

605 Bengali 605 Bengali 605 Bangladesh 605 Bengal 605 East Pakistan

606 (not used)

607 Bhutanese 607 Bhutanese 607 Bhutan

608 (not used)

609 Nepali 609 Nepali 609 Nepal 609 Nepalese

610-612 (not used)

613-625, 627-620 613 613 613 613 613 613 613 613 613 613 613 613 613 613 613 613 613

Asian Indian

Asian Indian Indian (Asian) India Indic East Indian East Indies Bharati Bharat Bihari Behar Bihar Delhi Dravidian Dravidic Indo-Aryan Indo-Asian Indo-Dravidian

376

Code Ancestry

613 Madhya Pradesh

613 Orissa 613 Ksjasthani

613 Rajasthan

613 Sikkim 613 Uttar Pradesh

614 Punjabi 614 Punjab

615 Andhra Pradesh 616 Assamese

616 ASSam 617 Gujarat 617 cujarati 618 Karnatskan

618 Karnat aka 619 Kerslan

619 Kerala 620 Maharashtran

620 Haharashtrs 621 Naga 621 Nagalsnd 622 Tsmil

622 Tarnil Nad’J 622 Tamilian 622 Tsmilic

623 Msdrasi

623 Madras 624 Goanese

624 co= 624 Goan 625 Mizoram 625 Mysore

626 (not used)

627 Pondicherry

627 Pondichery

628 Andaman

628 Andamsn Islander 628 Andamanese 628 Nicobar Islander

630 630 630 630 630

(not used)

pakistani pakistani Pakistan Sind

.

Code

630 Kashmir1 630 Kashmirian 630 Kashmir

630 West Pakistan

631-632 (not used)

633-635 633 633 633 633 633 633 634 634 635 635 635

Ceylon Shri Lsnksn Shri Lanka Sri Lanksn Sri Lanka Singhalese Sinhalese Vedda Veddah Veddoid

636 (not used)

637 Maldivian 637 Maldivlan 637 Haldive Islander

638-699 (not used)

700-799 OTHER ASIA

Ancestry

Ceylonese Cevlonese

700-702 Burmese 700 Burmese 700 700 700 700 700 700 701 702

703-704 703 703 703 704

705

Burma Chin Cachln Karen mn Palsung Bunsan

Cambodian Cambodian Cambodia Kampuchea Khmer

(not used)

377


706-712 Chinese 706 Chinese 706 China 706 Chino 706 Jehol 706 Uigur 706 Ya0 707 Cantonese 707 Formsan

707 Formosa 708 Manchurlan 708 Manchuria 709 >longolia* 709 Moyolia

709 blongal 709 Kalmuck

709 blmyk 710 Thibet 710 Tibetan 710 Tibet 711 Hong Kong

712 Mace3 712 Portuguese Macao

713

714 714 714 714 714 714 714 714 714 714

Filipino Filipino Philipino Philippines Philippino Islander Pilipino Cebuanos 1110can0s Tagalog Filipine Islander

715-716 (not used)

717 717 717 717 717 717 717 717

Indonesian Indonesian Indonesia Ascension Islander Celebes Islander Celebesian Sulawesi Islander Javsnese Java Moluccan mlucca Islander

717 717 717

(not used)

717 Spice Islander 717 Sumatra* 717 Sumatra 717 Bangka 717 Banka 717 Billiton 717 Brunei 717 Borneo 717 Dutch East Indian 717 Portuguese Timor

718 (not used)

719-720 719 719 719 719 719 719 719 719 72U 720

Japanese Japanese Japan 1ssei Nipponese

Nippon Nisei Sansei Yonsei Northern Zyukyu Islander Ryukyu Islander

721 Oklnawan

721 Okinawa* 721 Okinawa

722 (not used)

723 Korean 723 i(orean 723 Korea 723 Chosen 723 North Korean 723 South Korean

724 (not used)

725-727 Laotian 725 Laotian

725 La0 725 Laos 726 Hmong 727 Me0

728 (not used)

729 Malaysian 729 Malaysian

729 Malaysia

378

Code Ancestry

729 Malay 729 M&ly~* 729 Sabah

729 Sakai 729 Sarawak 729 Semang 729 Senoi

730-739 (not used)

740 740 740

Singaporean Singaporean Singapore

741 (not used)

742-744 Thai 742 Tia 742 Thailand 742 Thailander 742 Tai 742 Siamese

742 siem 743 Thai Dam 743 Black Thai 744 Western Lao

745-746 (not used)

747 Taiwanese 747 Taiwanese 747 Taiwan

748-752 Vietnamese

748 Vietnamese

740 Vietnam 74a Annamese

748 Annamite 748 Anam 748 Annam 748 North Vietnamese 748 South Vietnamese 749 Chw 749 Montagnard 750 Katu 751 Ma 752 mong

753-756 753 753 754

Other Indo-Chinese Indo-China Eurasian

Indo-EuroDea* 754 -~

Code Ancestry

755 Asian 755 Asia 755 Asiatic 755 Oriental 755 Orient 756 Eastern Archipelago 756 Riau Islander

757-799 (not used)

800-899 PACIFIC

800-801 Australian

800 Australian 800 Australia 800 New South Wales

800 Northern Territory 800 Queensland

800 South Australia 800 Victoria 800 Western Australia 801 Tasmanian

801 Tasmania

802 (not used)

803 803 803 803 803 803

Fiji Islander Fiji Fiji Indian Fiji t%slim

804 (not used)

805-806 New Zealander 805 New Zealander 805 New Zealand 806 Maor1

807 (not used)

808-809 808 809

809

New Guinean New Guineen

810-859 Other Pacific

810 American Saman 811 Tokelau Islander 811 Tokelauan

379

Code

812 812 812 813 813 814 815 815 816 816 817 817 ala ala 819 820 821 822 823

824 824 825 825 826 826 827 028 829 830 831 832 833 833 834 835 835 836 836 837 837 837 830 830 838 838 839 839 840 840 840 840

Anccstre

Tongan Tonga Tonga Islander liawaiian Hawaiian Islander Part-Eawaiian Cuama*ia* Guam chasiorro Chamorro Islander Marshallesa Marshall Islander Carolinian Caroline Islander Hidway Islander Wake Islander Saipan Islander Northern Marianas Islander U.S. Trust Territories of

the Pacific Trukese Truk Islander Yapeae Yap Islander Solomon Islander British Solomons Norfolk Islander Cook Islander Christmas Islander Campbell Islander Kermadec Islander Phoenix Islander New Caledonian New Caledonia Islauder New Hebrides Islander Melanesian Melanesia Islander Micronesian Micronesia Islander Polynesian Polynesia Polynesia Islander Pacific Islander Pacific Oceania Oceanica S=lSOa* SSDIOSC French Polynesia Society Islander Tahitian Tahiti

Code - Ancestry

841 French Samoa 842 Palauan 843 Ulithian a43 Faisian 844 Woleaian 844 1falukese 844 Eauripikese 845 Pulawatese a45 mlasukese 045 Pulapese 845 Tamatadan 846 Mortlockese 847 Ponapean 840 Pingelapese 849 Mokilese 850 Kosraean 851 Ngatikase 852 Nukuoroan 853 iiapingamarangan 854 Gilbertese 855 Nauruan 056 Niuean 857 Hall Islander 858 Namanouito 858 Ulul 859 Lmotrekese 859 satawa1ese

860-899

900-919

(not used)

NORTH AMERICA (EXCEPT sm-uski CATEGORIES

900

901-902 901 901 902 902 902 902

903 903 903 903 903 903 903

(not used)

America U.S. U.S.A. United States United States of America

Afro-American Afro-American Bilalian Black Black-American Colored Creole

380


903 Mulatto

903 Negro 903 Nigritian 903 Nonwhite

904-905 (not used)

906 White/Caucasian 906 white/Caucasian 906 Anglo 906 Anglo-Sane* 906 Appalachian 906 Aryan 906 Caucasian 906 Hillbilly 906 Swamp Yankee

906 WASP 906 White

906 White Anglo-Saxon Protestant 906 Yankee

907 (not used)

908 Greenlander 908 Greenlander

909-911 909 909 909 909 909 909 909 909 909 909 909 909 909 909 909 909 909 909 910 911 911

Canadian Canadian Canadien Canada Albertan British Columbia* British Columbia labradorean Labradorian Labrador Manitoba* Manitoba New Brunswick Ontarian Ontario Prince Edward Islander Saskatchewan Yuknner Yukon Newfoundland Nova Scotiau Nova Scotia

912 French Canadian 912 French Canadian

912 Quebecois 912 Quebec

913 Bermudao

913 Bemudan 913 Bermudlan 913 Bemuda 913 Bermudas 913 Bermuda Islander

914 (not used)

915 915 915

North American North American North America

916 American Indian

916 Abenaki 916 Abihka

916 Abnaki 916 Absaraka

916 Absaroka 916 Absentee Delaware

916 Absentee Shawnee 916 Acachin 916 Accohanoc

916 Accohanock 916 Achomawi 916 Achumawi 916 AlZOllla 916 Acoma Pueblo

916 .Afognak 916 Agai-Dlcutta 916 Agua Catiente 916 Agua Caliente Cahuilla

916 Agua Caliente Cupeno

916 Ahtena

916 Ahtna 916 Aiaktalik 916 Ak-Chin 916 Akhiok

916 Akiachak 916 Akutan 916 Akwesasne 916 Alabma Coushatta 916 Alabama Kosati

Code bmestry

916 Alabama Quassarte

916 Alagonquin 916 Alakanuk 916 ALsum

916 Alaska Indian 916 Alaska Native

916 Alaskan Athabascan

916 Alaskan Athabaskan 916 Alaskan Athabaskin

916 Alaskan Athapascan

916 Alaskan Athapaskan 916 Alaskan Athapaskin 916 .tlaskan Indian 916 Alatna

916 Aleknagik 916 Alexander Creek 916 Alexander Valley

916 Algaaciq 916 Algonkin

916 Algonquian 916 Algonquin 916 Alibamu 916 Al1akaeet 916 Allakake t

916 Allegany 916 Allegany Seneca 916 Allen Canyon 916 Alpine 916 Alsca

916 dsea

916 Alt was

916 Aleuc

916 Ambler

916 Amuzgo

916 Anadaca 916 Anadahka

916 Anadarko 916 Anaktuvuk

916 Anaktuvuk Pass

Code

916 Andreafsky 916 Androscoggin 916 Aneth 916 Angoon 916 Aniak

916 Anishinaabe 916 Anishlnaabeg 916 Anishnawbeg 916 Annette Island

916 Antelope Eaters

916 Anton 916 Antoniano 916 Anton Larsen Bay 916 Anvik

916 Apache

916 Apalachiocola 916 Aporlge 916 Applegate 916 Applegate Creek 916 Apwaruge

916 Arapaho 916 Arapahoe 916 ArallC.%lian

916 Arbeka

916 Arbeka Deep Fork

916 Arbeka North Fork 916 Arbekochee 916 Arctic Slope 916 Artic Village 916 Arickara

916 Arik.3l-a 916 Arkansa 916 Aroastoak 916 Aroostook 916 Artussee

916 ADXXO

916 Assiniboin 916 Assiniboine

916 Astarwawi 916 Astuge

AIKestKy

382

Code Ancestry

916 Atfalati 916 Athabascan

916 Athabaskan 916 Athabaskin 916 Athapascsn

916 Athapaskan 916 Athapaskin 916 Athna 916 Atikameg 916 Atikamek

916 Atka 916 Atkasook 916 Atnautluak 916 Atsina 916 Atsuge

916 Atsugewl 916 Attacapa 916 Attakapa 916 Attikameg 916 Attikamek

916 AttU 916 Atwamsini 916 Atwume 916 Auberry 916 Auburn

916 Augustine 916 Auk 916 AllraG

916 Ayakulik 916 ApXZl

916 Aztec 916 BaCa 916 Bad River 916 Bannock 916 Barbareno

916 BarOna 916 Barona Capitan Grande 916 Barona Rancho

916 Baron Long 916 aarrio Libre

Code Ancestry

916 Barrow 916 Barter Island 916 Battle Mountain 916 Bay Mills 916 Bear River

916 BeaVer 916 Becenti 916 Beclabito 916 Belkofsky 916 Bella Coola

916 Bells Flats 916 Benton 916 BeOW.ZWie 916 Berry Creek 916 Bethel

916 Bettles 916 Bettles Field 916 Big Bend 916 Big Lagoon 916 Big Pine

916 lug spring 916 Big Valley 916 Bill Moore's 916 aii0ti 916 Bforka

916 Birch Creek 916 Bird Springs 916 Bishop 916 Black Bob 916 Blackfeet

916 Blackfoot 916 Blackfoot Sioux 916 Blackhawk 916 Black Mesa 916 Black River Chippewa

916 Blood 916 Bloods 916 Blue Gap

916 Blue Lake 916 Bodaway

383

Code

916 Bodega 916 Bodega Me-Wuk 916 Bodega Miwok 916 BoiSS Forte 916 Bois Fort

916 Brass Ankles

916 Bread Springs 916 Brevig Mission 916 Bridgeport 916 Brighton

916 Bristol Bay 916 Broken Arrow 916 Brolcen moccasin 916 Brotherton 916 Brothertown

916 B?XlS 916 Brule Sioux 916 Buckland 916 Buena Vista

916 Burnham

9lG Burns

916 Burnurwurbskek 916 Bylas 916 Cabazon 915 Cache creek

916 Cachil Dehe 916 Caddo 915 Cahto 916 CahuillS 916 Calapoola

916 Calapoola 916 Calapooya 916 ca1apuya 916 Caliente 916 California MisSion Tribe

916 ca1ista 916 Campbell's Ranch 916 C==W 916 Canadian Indian 916 Candle

Ancestry Code

916 canoncito 916 cantwe 916 Canyon DaY 916 canyon Village

916 Capitan GrandS

916 Capote 916 carrizo 916 carson

916 Casamero Lake 916 Cass and Winni

916 Caswell 916 Catawba 916 carhlamet 916 cattaraugus 916 cayuga

916 cayuse 916 Cedar City 916 Cedar Creek

916 Cedarville

916 Cell10

916 Cell10 Village

916 Central California Digger 916 Chaftan 916 Chafton 916 Chalkyitsik

916 Chaloonavick

916 chaloonawick 916 Chandrlar River 916 Chanega 916 Chaneliak

916 Chanilut 916 Chaoctaw 916 Chasta Costa 916 chatino 916 chauee

916 Cheechilgeetoh 916 Chefornak

916 Chehalis

916 Chelan 916 Chemakum

Ancestry

384


316 Chenehuevi 9lti Chemetunne 916 Chempho 9lti Chanpo 916 Chenega

916 Chocho 916 Chocktaw 916 Choctaw 916 Choinimni 916 ChOil-lUDUl~~ 916 Chongaskethon

916 Chepenafa 916 Che r-Ae 916 Cher-Ae Heights 916 Cherfornak 916 Chericahua

916 Chongaskethoo Dog 916 Chookchancy 916 Chickhansi 916 Chugach 916 Chukchsnsi

916 916 Y16

916 916

Cherokee Cherokee KeeCoowah Cherokee Nation of Oklahoma

chetco Chetka

916 Chukvuktoligamute 916 Churarbalik 916 Church Rock 916 CibecuS 916 Cibecue Apache

916 Chetlesslogton 916 Cibeque 916 Cheyarha 916 Cibeque Apache 916 CheY.%le 916 Circle 916 Cheyenne River 916 Citizen Band 916 Cheyenne River Sioux 916 Clackamas

916 Chickahominy 916 ClSllSnl 916 Chickaloon 916 Clark's Point 916 Chickasaw 916 Clatskanie

916 chicken Ranch 916 c1atsop 916 Chignik 916 Clear Lake

916 Chignik Lagoon 916 Clear Lake Porno 916 Chignik Lake 916 Clear Lake Reservation 916 Chilchinbeto 916 Clifton Choctaw 916 Chilkat 916 Cloverdale 916 Chimakum 916 Clowewalla

916 Chimariko 916 Clowwewalla 916 Chinantec 916 Coalmine Mesa 916 Chinook 916 Coast Indian 916 Chippew= 916 coast k-!&k 916 Chippewa Cree 916 Coast Mi-Wok

916 Chiricahua 916 Coast Miwok 916 Chistochina 916 coast Yuki 916 Chitemach= 916 Coast Yurok 916 Chitimacha 916 Cochiti 916 Chitina 916 Cochiti Pueblo

385

Code

Ylb cocopa 916 Cocopah 916 Caeur D'Alene 916 Coharie 916 Cold Bay

916 Cold Springs 916 Colfsx 916 Colorado River 916 Columbia River 916 Columbia River Chinook

916 Calumbia River Tchinouk 916 Columbia River Tcinouk 916 COlUSi3 916 c01v111s 916 Comanche

916 Cmmanche 916 Concharty 916 COIlCOW 916 ConoY 916 coos

916 coos= 916 Coosas 916 coos BaY 916 Copper Center

916 coppermine

916 Copper River 916 Coquill~ 916 Cordova 916 Cornfields 916 Cornplanter

916 Corplanter Seneca

916 Cortina 916 coso 916 costanoan 916 Couer D'Alene

916 council 916 counselor 916 Coushatta 916 Covelo 916 Cow Creek


916 coweta 916 Cowichan 916 cow1itz 916 coyote canyon 916 coyote Valley

916 Craig 916 Crec 916 Creek 916 Crescent City 916 Crise

916 Crooked Creek 916 Crow 916 crow Creek 916 Crownpoint 916 Crystal

916 Cudei 916 cuicatec 916 Cultlatec 916 CUk 916 Cumberland County

916 Cumumbah 916 cupeno 916 Cussitah 916 Cuthead 916 Cuthead Sioux

916 cuyapaipe 916 Dakota 916 Dakota Sioux 916 Dakubetda 916 Dalles

916 Dalton Pass 916 DN& 916 Desth Valley Tlmbs-Sha 916 Deer Creek 916 Deering

916

916 916 916 916

Delaware of Western Oklahoma

Delta Junction Dena' ina Dennehotso Desert

.- Code - Ancestry Code -

916 Detahurat 916 916 Devil's Lake 916 916 Diegueno 916 916 Digger 916 916 Digueno 916

Emmonak Enteat Enterprise

916 Dilkcm 916 Entiat 916 Dillingham 916 Entiest 916 DillS 916 Esav 916 Dineh 916 Etabnur 916 Diamede 916 Etowah

916 Cot Lake 916 Euchees 916 couglas 916 Euchre Creek 916 Doyen 916 Eufala 916 Draanjik Gwich'in 916 Eufala Canadian 916 DresslervillS 916 Eufala Deep Fork

916 Dry Creek 916 Eyak 916 Dumish 916 Faircloth 916 Duck Valley 916 Fallon 916 Duck Water 916 False Pass 916 Duwanish 916 Farewell

916 Dwamtsh 916 Fish Pond 916 Eagle 916 Flandreau 916 Eagle Pass 916 Flandreau Sante 916 Eastern Cherokee 916 Flat 916 Eastern Chickahominy 916 Flathead

916 Eastern Creeks 916 Florida Eastern Creek 916 Eastern Pequot 916 Fond du Lac 916 Eastern Shawnee 916 Forest County 916 East Fork 916 Forest Lake 916 East Lake 916 Fort Apache

916 Edisto 916 Fort Belknap 916 Eek 916 Fort Berthold 916 Eel River 916 Fort Bidwell 916 Egegik 916 Fort Defiance 916 Eklutna 916 Fort ~a11

916 Ekuk 916 Ekwok 916 Elan 916 Elim (Alaska) 916 F.lko

916 916 916 916

Fort Independence Fort McDermitt Fort McDowell Fort McDowell Mohave- Apache

Fort Mohave 916

Ancestry

Elk Valley

E~Y

587

Code Ancestry

916 Fort Mojave 916 Fort Peck

916 Fort Sill 916 Fort Sill Apache 916 Fort Thompson

916 Fort Totten 916 Fort Yates 916 Fort Yukon 916 Fort Yuma 916 Four Holes

916 FOX 9lb Freetown Forest 916 Friendly march

916 Gabrieleno 916 Gabrielino

916 Gakona

916 GaleeSe Creek

916 Galas 916 Galic Creek 916 Galice Creek

916 ~alie Creek 916 Gambell 916 Ganado 916 Ganienka 916 Gay Head

916 Gay Head Wampanoag 916 Georgetown 916 Georgetown (Alaska) 916 Georgetown (WashingtoQ) 916 Geyservllle

916 Gidutikad 916 Gila Bend 916 Gila River 916 Golden Hill 916 Golovin

916 Goodnews Bay 916 Goshee 916 Goshee Utes

916 Goship 916 Goship Utes

Code Ancestry

916 Coshiute 916 Goshute

916 Grafton 916 Grande Ronde 916 Gsnd Portage

916 Grand Rhonde 916 Grand River 916 Grand Ronde 916 Grand Traverse 916 Granite Falls

916 Graton 916 Grayling 916 Greasewood 916 Great Falls 916 Greenleaf

916 Greenville

916 Grindstone 916 Gros Ventres 916 Gros Ventres Atsina 916 Gros Ventres Hidatsa

916 Guarani 916 GUWULI 916 Guidiville 916 Guildford Native 916 Gulkana

916 Gull Lake 916 Gwitchyaa Gwich'in 916 Haida 916 HSIIISS

916 iialiwa

916 Haliwa-Saponi 916 Kamilton 916 HammaW 916 Han 916 Hankutchin

916 Hannahville 916 liano 916 RaPPY Cap 916 Hardrock 916 Hasinai

916 Rassanamisco

916 Hat Creek 916 Hattadare 916 Hatteras Tuscarora

916 Havasupai


916 Haycock 916 Hupa 916 Healy Lake 916 Huron 916 Henya 916 Huron Potawatomi 916 Hewisedawi 916 Husatonic 916 Hickory Ground 916 Huslia

916 Hidatsa 916 tlutchachuppa 916 Hitchiti 916 HutsnuW 916 Utchittee 916 Hydaburg 916 no-chunk 916 Ichcatec 916 Hogback 916 Idaho Delaware

916 916 916 916 916

Hoh Holikachuk kaywood Holy Cross noona

916 1giugig 916 IliUUM 916 Illamawi 916 IlmaWi 916 1naja cosmit

916 Hoonah 916 Inca 916 HOloop= 916 Indian (American) 916 Hoopa Exte'nsion 916 Indian Island 916 Hoopa Valley 916 Indian Peaks 916 moper Bay 916 Indian Township

Y16 HOPI 916 Indian Wells 916 Hopi Pueblo 916 Ingalik 916 Hopi-Tew'd 916 Inscription House 916 Hopland 916 1nupiaq 916 muck 916 1nupiat

916 tlouma 916 IOW=y 916 tkxmstonic 916 Ipd 916 Hualapai 916 Iroquoian 916 Huastec 916 Iroquois 916 Huastecan 916 Isabella

916 IhI="= 916 1santi 916 Huchnm 916 Island Carib 916 Huerfano 916 Isleta 916 Hughes 916 Isleta Pueblo 916 Huichol 916 1ssa

916 Huma 916 1ssati 916 Humbolt Bay 916 1tazipco 916 Humptulip 916 1tsatawi 916 HUlla 916 Ivanof Bay 916 Hunkpapa 916 Ixatec

369

Ancestry

916 Iyanbico 916 Jamestown 916 Jamestom Clallem 916 JaUlUl 916 Jeddito

916 Jemez 916 Jemez Pueblo 916 Jena 916 Jicarilla 916 Jicarilla Apache

916 Joseph's Band 916 Joshua 916 Juaneno 916 Kaguyak 916 Kahmiltpah

916 Kaibab 916 Kaibeto 916 Kainah 916 Kai-Pm0 916 Keke

916 Kaktovik 916 K&?.po0ia 916 K.a1apooy= 916 Ka1apIlia 916 K,&lpuy=

916 K&lapel 916 Kalispell 916 Ka1skag 916 Kdt.2.g 916 lbmai

916 KameyaaY 916 Kanatak 916 Kanosh 916 KallSCl 916 Kappaws

916 Karluk 916 Karok 916 Karuk 916 Ka!Sa.Sn

916 Kashaya

Code

916 Kashia 916 Kasigluk 916 Kasilof 916 Kaskaskia 916 KatnkitegoninB

916 Kathlsmet 916 Kaviswach 916 Kaw 916 Kewaiisu 916 tawerak

916 Kawita 916 Kayenta 916 Kechopatake 916 Keetoowah 916 Keetoowah Bend Cherokees

916 Kenaitze 916 Keres 910 Keresan 916 Kern 916 Kern River

916 Ketchikao 916 Keweenaw Bay 916 Khoso 916 Kialigee 916 Klan=

916 Klchai 916 'Kickapoo 916 KikiallUS 916 King cove 916 King Island

916 Kinlechee

916 wowa 916 Kiowa Apache 916 Kipnuk 916 Kitamat

Ancestry

390

Code - Ancestry

916 Kitanemuk 916 Kitkahaki 916 Kit01 916 KiVditU

916 Klagetoh

916 Klallam 916 Klamath 916 Klmath River 916 iatskani= 916 Klawock

916 91b 916 9lti Y16

Klickatat Kli'kaatat Klinquit Kluckwan Knik

916 Krdka tnu 916 Koasati 916 Kobuk 916 Kodiak 916 Kogiganak

916 Kokhanok 916 Koliganek 916 Kongiganak 916 Kongigonak 916 Koniag

916 Knnkau 916 Konkow 916 Konwihu 916 Koosharea 916 Kootenai

916 KosO 916 Kosunats 916 mtlik 916 Kotzebue 916 Kotzebue Sound

916 Kowwasayee 916 Koyuk 916 KOy&Xl 916 Koyukuk 916 Kuesa

Code Ancestry

916 Kumeyaai 916 Kumeyaay 916 Kusa 916 Kussn 916 Kuskokwim

916 Kusotony 916 KussO 916 Kutchs 916 Kutcha Kutchin 916 Kutchin

916 Kutenai 916 Kutenay 916 Kwakiutl 916 Kwstm.1

916 Kwethluk

916 Kwigillingok 916 Ktiguk 916 Kwlnhagak 916 Lacandon 916 Lacsndones

916 lac Courte Oreilles

916 Lac du Flambeau 916 Lac View. Desert 916 Laguna 916 Laguna Pueblo

916 La Jolla 916 Lake Lena 916 Lake Nethow 916 Lake Metlow 916 Lakes

916 Lake Superior 916 Lake Traverse 916 Lake Valley 916 Lakmiut 916 Lakot=

916 lakota Sioux 916 Lanape 916 L'Anse 916 Lantern Hill 916 La Pointe

391

Code

916 La PailIce

916 ~a Pointe du St. Esprit 916 La posta 916 Larsen Bay 916 Lassik

916 Las Vegas 916 Laytonville 916 Lechee 916 Leech Lake

916 Le&V-laU

916 Ll?iSllOi

916 Lemhi 916 iemli 916 Lenape 916 L‘Xllli

916 Lenni Larlape 916 Lenni Lenape 916 Lescheneaux 916 L-PP 916 Lavelock

916 Liaywas 916 Lime Village 916 Lipan 916 ~ipan Apache 916 Li tnlk

916 Little Afognak 916 Lit tie Diomede 916 Little Lake 916 Lit tie Rockies

916 Little Shell Tribe

916 Little Water

916 Loafer 916 Lockapoka 916 Long Pine 916 Long Tom Creek

916 Lookout 916 LO8 coyotes

916 Ioucheux 916 Lovelock 916 Lower Band of Chinook

Code Ancestry

916 Lower Brule 916 Lower Chinook 916 Lower Columbia iliver Tchinouk 916 Lower Coquille 916 Lower Creek Wskogee

916 Lower Elvha 916 Lower Ka1skag 916 Lower Lake 916 Lower ttlskogee 916 Lower Pend d’0reilles

916 Lower Sioux 916 Lower Skagi t 916 Lower umpqua 916 Lower Yanktonai 916 Low Mountain

916 LUiMXX7 916 tllje0llo 916 Lukachukai 916 Lumbee 916 Lumbi

916 LUlMlee 916 Lummt 916 Lupton 916 Lytton 916 Machapunga

916 ,MacKanotin

916 .?laddy 916 Hadesi

916 Mahican 916 Xaidu

916 X&ah 916 Hakok 916 Mdecite 916 Halheur 916 Malisee t

916 Malseet

916 Manchester 916 Handan

916 Manitoulln Island 316 Manley Hot springs

392

Code -

916 Manokotak 916 Manuelito 916 Many Farms 916 Manzanita 916 Hapuche

916 Mariano Lake 916 MariCOp=

916 Marin 916 Mark West

916 ,Mary's Igloo

916 Mary's River 9111 .%shpee

916 Mashpee Wampanoag 916 LMatanusks 916 mtinecock

916 Hattaponi 916 Hattspony 916 Matto1e 916 ?kmeluk 916 Mazahua

916 Mazatec

916 XcCrath 916 Mdewakanton

916 Hedfra 916 Meguedon

916 Heherrin 916 ~e‘ko ryuk 91b LYenominee 916 Mentasta Lake

916 Mequedon

916 Mesa Grand'3

916 Mescaler 916 ~escalero Apache

916 Mesquakie 916 xet1akat1a

916 Metrolina 916 Me-W&

916 ,Xewk

916 Miami

916 Hiccosuke


916 Mil2-MllC 916 Hicmac 916 Middletown

916 ,Midewakanton 916 Migueleno

916 Mikasuki 916 Mule LX 916 Male Lacs 916 Mimbreno 916 Minchumina Lake

916 Miniconjou 916 .wnitaree 916 Minitari 916 ,rlinnesota Chippewa 916 Minniconj ml

916 ,xinto 916 Mission 916 ~ssion Creek 916 Miss1sauga 916 Mississauga

916 M.lsslssippi Chippewa 916 Mississippi Choctaw 916 Ntchell Bay 916 Mitchif 916 Hitchiff

916 Mitchiffs

916 Miwa 916 .Hiwok 916 Xiwuk 916 Mlxtec

916 Moache 916 MOap= 916 Hodoc 916 Ho have 916 Mohave-Apache

916 Mohawk 916 Mohegan 916 Mohican 916 MOjW? 916 ,%kelumne

393

Code Ancestry

316 NO1.31a 916 Molalla 916 Kole Lake 916 Xonache 916 Monachi

916 MOIIO 916 Mono Lake 916 Montagnals

916 mntana Creek 916 ,Hmtauk

916 Montgomery Creek 916 .Moose Creek 916 Moqueleme 916 ,mque1umnan

916 Xoquenodun

916 Horongo 916 Morton 916 ,Hountafn Maidu 916 Mountain Village 916 tickleshoot

916 :.tulknomah

916 ?k.ltnmah 916 Mumtrak 916 MllllCey 916 ?luncie

916 MUllSee 916 MunSt?Y 916 %LYY 916 MJlscogee 91b slskogee

916 bskogee Tribe East of the Mississippi in Georgia

tisquakie Na-Den.3 Nageezi Naknek

916 916 916 916

916 Nakota 916 Nakota Sioux

916 Naltunnetunne 916 Nambe 916 Nambe Pueblo

Code Ancestry

916 Nana

916 Nansemond 916 Nanticoke 916 Napaimute 916 Napakiak

916 Napamute 916 Napaskiak 916 Napa Valley 916 Narraganset 916 Narragansett

916 Naschitti 916 Naskapi 916 Natani Nez 916 Natches 916 Natchez

916 Native American 916 Navaho 916 NW?ZIjO 916 Navajo Ilountain 916 Navej 0

916 Nayantick

916 Nazlini 916 Nebesna 916 Nehalem 916 Nehalim

916 Nelson Lagoon 916 Nenahnezad 916 NfZllaLla

916 Nepaimute 916 Ne-shoch-achee

916 Nespelem 916 Nespelim 916 Nestucca 916 Nestucka 916 Nestuckah

916 Nett Lake 916 Newhalen 916 New Stuyahok

916 Newtok 916 Nez Perce

394

Code - Ancestry

916 Nez Perces

916 Nez Perse 916 Nez Pierce 916 Neztucca 916 Niantic

916 Niantique 916 Niantuck 916 Nightmute 916 Nikolai 916 Nikolski

916 Ninilchik 916 Nipmuc 916 Nipmuck 916 Nipmug 916 xipauk

916 Nisenan 916 Nishinam 916 Nisquali 916 Nisqualli 916 Nisqually

916 Noatak 916 Nomalackl 916 Nonalaki 916 NOT!E 916 Nomelaki

916 Nomlaki 916 Nondalton 91ti Nongatl

916 Noolksut 916 Nooksack

916 Nooksak

916 Noorvik 916 Nooseopes 916 Nootka 916 Northeast Cape

916 Northern Arapaho 916 Northern Arapahoe 916 Northern Cherokee

916 Northern Cheyenne 916 Northern Nichigan Ottawa

Code Ancestry

916 Northern Molala 916 Northern Molalla 916 Northern Okanagan 916 Northern Okanagon

916 Northern Paiute

916 North Fork 916 North Fork Apache

916 Norhway

916 Northwestern Shoshone 916 Nuiqsut

916 Nulato 916 Nunapitchuk 916 NUY&= 916 Nyantick

916 Oaks Spring

916 Obispeno 916 Ochechotes 916 Odanah 916 Odava

916 Odgers Ranch

916 0glala 916 Oglala Pine Ridge 916 0glala Sioux 916 OhlOWS 916 Ohogamiut

916 Oil Springs 916 Ojlbwa -. 916 Ojibway 916 Ojibve 916 Ojo Encino

916 Oka Mohawk 916 okanagan 916 okanagon 916 Okanogan 916 Okchiye

916 Okfuskee 916 Okfuskee Deep Fork 916 Okinagan

916 Oklahona Choctaw 916 Oklahoma Creek

395

916 Oklahoma Kiowa 916 Oklahoma Pawnee 916 Old Harbor 916 Oljato 916 Oneida

916 316 916 916 916

Pala Palmer Palm Springs Paloos Palouse

916 onondaga 916 Palus 916 O"to"ago" 916 PaWnkey 916 Oohenonpa 916 panamint 916 Oohenonpa SiouX 916 Panas 916 Oohenumpa 916 Pe""aiti

916 916 91b

916 916

Oohenumpa Sioux opata Original Bands of Sault

Ste Marie Chippewe Orleans Orleans Karok

916 papago 916 Papikaha 916 Paradise Y16 Pasamaquoddy 916 Pascua Yaqui

916 Orleans Keruk

916 osage 916 Oscarville

916 Osochee 916 oto

916 P&cent.3 916 Passamaquoddy

916 Paugussett 916 Pauloff Harbor 916 Paulof Harbor

916 otoe 916 Otoe-:4issouria 916 ot tawa 916 Otter Tail 916 Otter Tail Pillager

916 Ouray 916 Outagami 916 OUZi"kie 916 Owens Valley

916 ozette

916 Pabaska 916 Pabaska Sioux 916 Pacaha 916 Pagusett 916 Pah-Ute

916 Pahvant 916 Paimiute 916 Paimute 916 Paiute 916 ~akan Tallahasee


916 PaLlIE 916 Pauma-Yuima 916 Pa-ute 916 PalIvan 916 Pauvant

916 Paviotso 916 PaMae 916 Pays"" 916 Payso" Tonto Apache 916 Peacott

916 Pechanga 916 pecoit 916 Pedro Bay 916 Pee Dee 916 Peigan

916 Pelican city 916 Pew 916 Pemas 916 Pembena 916 Pembina

396

Code

916 Pembina Chippewa 916 Penacook 916 Penaubscott 916 Pend d'oreille

916 Penobscot

916 Penobscut 916 Peoria 916 Pequit 916 Pequot 916 Peridot

916 Perry's Island 916 Perryville 916 Person County 916 Person County Indians 916 Petehurst

916 Petersburg 916 Piankashew 916 Haute

916 Picayune 916 Picuris

916 Picuris Pueblo 916 Piegan 916 Pigeon River 916 Pikakwenarats 916 Pillager Chippewas

916 Pilot point 916 Pilot station 916 Piiila 916 Pinedale 916 Pine Nut

916 Pine Ridge 916 Pine Ridge Sioux 916 Pinolville 916 Pi""" 916 Pipestone

916 Pipestone Sioux 916 Piscatawey 916 PiCke'S point 916 Pit River 916 Piute


916 916 916

916 916

Plains Cree Platinum Pleasant Point Passamquoddy

Poarch Band Pogagon Potawatomi

916 Pohoaque 916 Pohoaque Pueblo 916 Point Arena 916 Point Arena-Manchester 916 Point Barrow

916 Point Hope

916 point Lay 916 Point Possession 916 Pojoaque 916 Pojoaque Pueblo

916 POj ouque 916 Pojouqua Pueblo 916 POj uaque 916 Pojuaque Pueblo 916 Po-Lay-@&

916 Pomacha 916 Pometcha 916 Porno 916 PO"@ 916 Poncas

916 PO"kaS 916 Poosepatuck 916 Poospatuck 916 Pooyalup 916 Popol"ce

916 Poquonock 916 Portage Creek 916 Port Chilkoot 916 Port Gamble 916 Port Gamble Clellam

916 Port Graham 916 Port Heiden

916 Port Lions 916 Port itidison 916 Port Moller

397

Code -

916 916 916 916 916

Port Orford Port Xilli.ms Potawatomi Potawatomie Potomac

916 Potowatomi 916 Potowatasie

916 Potrero 916 Pottawatomi 916 Pottawatomie

916 Pottawatomi of the Huron 916 Potter Valley 916 Pottowat0mi.e 916 Powhata”

916 Pouhattan Renape

916

916 916 916 916

Prairie Band of Potowetomi Indians

Prairie Island Sioux Prescott Pribilovians Priblovians

916 Principal Creek India" Nation East of the Mississippi

Prior Lake Pudding River Pueblo

916 916 916

916 Pueblo of Lagu"a 916 Pueblo Pintado 916 Puget Sound Salish 916 Purisimeno 916 Puyellop

916 Puyallup 916 Puye1up 916 Pyramid Lake 916 Quep=w 916 Quartz Valley

916 Quaesarte 916 Q"=v 916 Quebeqa 916 Quechan 916 Quechue

Ancestry Code - Ancestry

916 Quechua" 916 Cjueets 916 Quelen 916 Queren 916 Q"il"

916 Quileute 916 Quillayute 916 Quillehute 916 Quilleyutes 916 Quilliutes

916 Quinaielt 916 Quinault

916 quinayn t 916 Quinhagak 916 qwa.paws

916 R-14 CrosSing 916 Remah 916 Ramp0 916 Remapoh 916 Ramp" Mountain

916 Rampough 916 Ramapough Xountai"

916 Remona 916 Rampart 916 Rappahanock

916 916

916 916 916

Red Bones Red Cliff Band of Lake

Superior Chippewa Red Cliff Chippewe Red Devil Redding

916 Red Earth People 916 Red Lake 916 Red Lake Chapter 916 Red Lake Chippewa 916 Red Legs

916 Red Mesa 916 Red Rock

916 Red Valley 916 Redwood 916 Redwood Huchnom

398


916 Redwood Valley 916 SaIlak

916 Redwood Whilkut 916 San Carlas 916 Ree 916 San Carlos Apache

916 Rees River 916 Sandhill 916 REX-IO 916 Sand Hill

916 Ram-Sparks 916 S2Wldia 916 Requa 916 Sandia Pueblo 916 Resighini 916 sand point 916 Rincon 916 San Felipe 916 soaring Creek 916 San Felipe Pueblo

916 Robinson 916 Sanford Catawba 916 Rock Point 916 San Gabriel 916 Rock Springs 916 San Gabrielen 916 Rocky Boy Cree 916 San Ildefonso 916 Rocky Boy’s 916, San Ildefonso Pueblo

916 Rogue River 916 Rohnervflle 916 Rosebud 916 Rose bud Si cuX

916 Rough Rock

916 916 916

916 916

sell Juan San Juan Capistrano San Juan de Guadelupe TlW&I

San Juan Pueblo San Juan Tribe

916 Round Rock 916 Round Valley 916 Ruby 916 Ruby Valley 916 Ruffey’s

916 San Lorenzo 916 San Luiseno 916 San Luis Obispo

916 San Manual 916 San Manuel

916 RU.XWY

916 Sac 919 Sac and Fox 316 Sac-Fox 915 Saginaw Cbippewa

916 sanostee 916 San Pascual 916 Sal Pasqual 916 sanpoe1 916 sanpoi1

916 Sahaptin 916 S.aiIlskee 916 Salamatof 916 Salamatoff 916 sa1inan

916 Sam Arc

916 sans Arc Sioux 916 Santa Ana 916 Santa Ana Pueblo 916 Santa Barbareno

916 Sali sh 916 Salmon River 916 Salt River 916 Sammis h 916 Samish

916 Santa Clara 916 Santa Clara Pueblo 916 Santa xneeeno 916 Santa Isabel 916 Santa Rosa

399

i


916 Santa Rosa Cahuilla 916 Seneca-cayuga 916 Santa me2 916 Seneca Nation 916 Santa mezeno 916 Serf 916 Santa Ysabel 916 Serra*O 916 santee 916 setauket

916 santee Sioux 916 seuvarits 916 santiam 916 seven Mile 916 santo Domingo Pueblo 916 seven Mile Wash 916 sari xavier Reservation 916 Shageluk 916 SapOn 916 Shahsweentowahs

916 sat sop 916 sauk 916 Sauk and Fox 916 Sauk-Siattle 316 Sauk-Suiattle

916

916 916 916 916

Shakopee Xdewakanton SiOUX

S’ha’ktabash Shaktabsh Shaktoolik Shasta

916 916 916

916 916

Sault Band sau1t Chippewa sau1t ste. Marie Tribe of Chippewa

Savonoski SWOO*ga

916 916 916 916

916

Shasta Costa Shaugawaumikong Shawnee Shawnee Nation United Kernrant

Sheep Ranch 916 S.3Wmill 916 SSXDall 916 Scammon Bay 916 Scaticoke 916 scaticook

916 Sheep Springs 916 Sheldon’s Point 916 Sherwood Valley 916 Shikene 916 Shfnacock

916 Schaghticoke 916 scoton 916 scotts Valley 916 scotts Valley Porn0 916 Scott Valley

916 Shinecock 916 Shingle Springs

916 Shinicok 916 Shinnecock 916 Shiprock

916 Scott valley Shasta 916 sealaska Corporation 916 Sebastopol 916 Selawik 916 Seldovia

916 Shishmref 916 Shivwit s

916 Sho-Ban 916 Shoalwater 916 Shoalwater Bay

916 916 916

916 916

Sells SWlLf*Ol= Seminole Nation of Oklahoma

Seminole Tribe of Florida SFXieCa

916 Shonto 916 Shoshone 916 Shungnak 916 Shushawap 916 Shushwap

r

400

Code Ancestry

916 Shuswap

91G Shuyak 916 Shyiks

916 Siapeats 916 Siberian Yupik

916 Sihasapa 916 Siha Sapa SioW 916 Siksekai 916 Siks ika 916 Siksikai

916 Siletz 916 Sinkiuse 915 Sinkuise

916 Sinkyone 916 SIOUX

916 Sisseton Sioux 916 Sisseton-Wahpeton Sioux 916 sitka 916 sius1aw 916 Sixes

916 Skagit

916 skagway 916 Skid1

916 Skilloots 916 Skillute

916 Skilluts 916 Skiloot 916 Silute 916 Skilut s 916 Skinpah

916 S’Rlallam 916 Skokomish 916 Sko-Pabsh 916 Skopamish 916 Skoton

916 916 916 916 916

Skull Valley Skwawksin Skwawksnamish Skykomish

Code Ancestry

916 Sleetmute 916 Smiling 916 Smith Lake 916 Smith River 916 Snake

916 Snohomish 916 Snoqualamick 916 Snoqualimick 916 snoqudmie 916 Snoqualmu

916 Soboba 916 Socokis 916 Sokoagon Chippewa 916 Sokoki 916 Solomon

916 Somesbar 916 songish 916 Soo Band 916 Soosabsh 916 Soo Tribe

916 Soquamish 916 Southern Cheyenne 916 Southern Molala

916 Southern Holalla 916 Southern Molallah

916 Southern Mollalah 916 Southern Okanagan 916 Southern Okanagin 916 Southern Okanagon 916 Southern Paiute

916 Southern Ute 916 South Fork 916 South Naknek 916 Sparks 916 spokm

916 Spokane 916 Squaks’namish 916 Squaw Harbor 916 Squaxin Island 916 Squaxon

-

401


916 St. Croix Chippewa 916 SugPiaq 916 St. Francis 916 Suiattle 916 St. George 916 Suise-obsh 916 St. George Island 916 suis1av 916 St. L..wrence Island 916 Sulphur Bank

916 St. nary's 916 Summemille 916 St. Michael 916 summit Lake 916 St. Michael6 916 Suquahnish 916 St. Paul 916 suquamish 916 St. maul Island 916 Suq'wubsh

916 St. Regis

916 St. Regis Mohawk 915 Stakeen 916 Standing Rock 916 Standing Pack Chapter

916 916 916

916 916

Susanville Swaksen Swan Creek and Black River Chippewas

Swan Creek Chippewa Sweetwater

916 standing Bock Sioux 916 Steamboat

916 Stebbins 916 Steilacoom 916 Steilacoomanish

916 Swinomish

916 Swo-Kwabish 916 Sycamore Valley 916 Sycuan 916 Table Bluff

916 Steilacoomish

916 Steilaguamish 916 Steilakoom 916 Steillaguamish 916 Sterling

916 Table Mountain 916 Tache 916 Tachi 916 Tachi Yokuts 916 Takelma

916 Stevens Village 916 Stewart's Point

916 Stikin 916 Stikine 916 Stillaguamish

916 Takhtam 916 Takotna 916 Taku 916 Talakamish 916 Tallahassochee

916 stmahlkabsh 916 stmahlkamish 916 Stockbridge

916 Stockbridge-Munsee 916 Stonyford

916 Ta-Mimi Seminoles 916 Tanacross 916 Tanaina 916 Tanana 916 Taos

916 Stony River 916 Strawberry Valley

916 Stuck-absh 916 stuck-amtsh 916 Sugar Bowl

916 Taos Pueblo

916 Tarahumara 916 Tarascan 916 Tarasco 916 Tatilek

402

Code - Ancestry Code Ancestry

916 Tatitlek 916 Tlatskanai 9lb BUSI 916 Tlatskanaie 916 Tazlina 916 Tlatskani= 916 Tchinouk 916 Tlinget 916 Tcinook 916 Tlingft

916 Tcinouk 916 Togiak 916 Teecnospos 916 Tohatchi 916 Teeato 916 Tojolabal 916 Teem* 916 Tok 916 Teeton Sioux 916 Tokpafka

916 916 916 916 916

Tehon Tejon Telida Teller Te-Mock Western

Shoshone

916 Toksook Bay 916 Tolani Lake 916 Tolowa 916 Toltec 916 Tonawanda

916 Tenakee Springs 916 Tenino 916 Tepehua 916 Tequistlatec 916 Tesuque

916 Tesuque Pueblo 916 Tete de Boule 916 Tetlin 916 Teto* 916 Teton Lakota

916 Teon Sioux

916 Tewa 916 Tewa-Hopi 916 Thlewahle 916 Thlopthlocco

916 916 916 916 916

Thlopthloccos Thompson Thoreau Tigua Tigua Ysleta de1 Sur Pueblo

916 Tikiakmuit

916 Tillamok 916 Tipai 916 Tiwa 916 Tlapanec

916 Tonawanda Seneca 916 Tongaaa 916 TlXlkaVIa 916 Tonto Apache 916 Topenish

916 Topinish 916 Toppenish 916 Torres-Martinez 916 Torreon-Star Lake 916 Traditional Kickapoos

916 Trinity Indians 916 Trique 916 Tsailee-Wheatfields

916 Tsayatoh 916 Tselani

916 Tsimpshean 916 Tsimshian 916 Tsimsian 916 Tualatin 916 Tuba City

916 Tubatulabal 916 Tuckabachee 916 Tulalip 916 Tde River 916 Tulludega

-

403


916 Tulmochussee 916 umati11a 916 Tulsa Canadian 916 Umkimute 916 Tulsa Little River 916 tipqua 916 Tuluksak 916 Unalachtigo 916 Tuluaek 916 Unalakleet

916 Tulwethlocco 916 916 Tumireter 916 916 Tunaxen 916 916 Tuntutliak 916 916 Tuntutuliek 916

916 Tununak 916 Tuoluwe 916 Tupinamba 916 Turkey Creek 916 Turtle Mountal*

Unalaska Uncmapahgre unga Unilathegoes United Cherokee Nation of Georgia

916 Tuscarora 916 Tuscarorah 916 Tuscarors of North Carolina 916 Tuscola 916 Tuskaroes

916 United Keetoowah 916 United Keetoweh 916 Upper Chinook 916 Upper Coquille 916 Upper Fruitland

916 Upper Lake 916 Upper Mattaponi 916 Upper Pend d'oreilles 916 Upper Sioux 916 Upper Skagit

916 Tuskegee 916 Tusuque 916 Tututnl 916 Twana 916 Twenty-nine Palms

916 Upper Tanana 916 Upper Umpqua 916 Upper Yanktonal Sioux 916 Ute 916 Ute Mountain Ute

916 Twin Hills 916 Twin Lakes 916 Two Gray Hills 916 Two Kettle Sioux 916 VO

TYW

916 Utu Utu Gweitu Benton Paiute 916 Utu Utu Gweitu Paiute 916 Uyak 916 Valdez 916 Valley Maidu

91b 916 916 916 916

Tyonek Tzeltal Ttotzil Uganik

916 Vanyume 916 Viejas 916 Vieux Desert 916 Wabenaki 916 Wabnaki

916 Ugashik 916 Uintah end Ouray 916 Uintah Ute

916 Uinta Ute 916 Ukiah

916 waccemew 916 Wsccamaw-Siouan

916 Waco 916 Wahpekuta 916 Wehpekute Slow

404

.-~ Code

916 Wahpetan Sioux 916 Wahpeton Sioux

916 wei1aki

916 Wainwright 916 W&ashen

916 ~&i&am Chinook 916 Wakiakum Chinook

916 Welapel 916 Walker River 916 waua waua

916 wa1papi

916 Walula 916 Wampanoag 916 Wanapum

916 wapato

916 Wappo 916 Warm Springs

916 Warm Springs Apache 916 Werner s Rench 916 Warroed Chippewe

916 wesco 916 wascopum 916 Weshakie 916 Was'm

916 Waahoe

916 Watersmeet

916 we-zee-je-ache=

916 Wazhaza Sioux 916 Wazhaze SIOUX 915 Wazharha Sioux

916 Wea 916 Wells 916 Wemenuchi 916 Wenatchapam 916 Wenatchee

916 Wenatchi 916 Weogufkee 916 Western Cherokee

916 Western Mono 916 Western Tennessee Choctaw 916 Wewoke


916 Whilkut 916 Whippoarwik 916 White Cone 916 White Earth 916 White Earth Chippewa

916 White Earth I4isaissippi 916 White Earth Pembina 916 White Earth Pillager 916 White Horse Lake 916 White Mountain

916 White Mountain Apache 916 White Oak Point 916 White River 916 White River Apache

916 White River Ute

916 White Rock

916 Wichita 916 WiCOmiCO 916 Wide Ruins 916 Wikchami

916 Willamette Tumwater 916 Willapa Chinook 916 Willapah Chinook 916 Willopah Band 916 Wilton Rancher0

916 Wimimuche 916 Wiminuche 916 Wind River 916 Wind Tribe 916 Winnebago

916 Winnemucca 916 Wintoo 916 wintu 916 wintum 916 Wintun

916 Wisconsin Potawatomi 916 Wisconsin Winnebago 916 Wiseman 916 Wishhan 916 Wishram

405

Code Ancestry

916 Wiyot

916 Wolf Point 916 Well-pah-pe 916 Woodfords 916 Woody Island

916 Wrangell 916 Wukchusmi 916 wyandot 916 Wyandotte 916 Wylacki

916 916 916 916

916

Wylaki X-L Rancherie Yahooskin ‘Yahuskin Bend of Snake

Indians Yakime

916 Y&.irnl Cowlits 916 Yekutat

916 Yemel 916 Yamhill 916 Yampa

916 Yam 916 Yanktonai Sioux 916 Yankton Sioux

916 Yaqui 916 Yaquina

916 Yaudanchi 916 Yavapai 916 Yavapai Apache 916 Yavapai Tonto Apache 916 Yepitcha

916 Yerington Paiute 916 Y0key0 916 Yokuts 916 Yomba 916 Yoncalla

916 YOnkalL3 916 Yowdanchi

916 Ysleta 916 Ysleta de1 Sur Pueblo

916 Yuchi

Coda Ancestry

916 YU1U.d 916 YUki 916 YUrn.6 916 Yumbo 916 Yupik

916 Yupik Eskimo 916 Yupfktat Bista 916 Yurok 916 Zaparo 916 Zapa tecen

916 Zia 916 Zia Pueblo 916 Zoque 916 Zoril 916 Zuni

917 917 917

918 918

919

Neut Neutian Ncutian Islander

Eskimo Eskimo

(not used)

920-936

920 American Indian-English-French 920 Indian-English-French

921 hmerican Indian-Fnglish-Gerxsn 921 Indian-English-German

922 American Indian-English-Irish 922 Indian-English-Irish

923 American Indian-German-Irish

923 Indian-German-Irish

924 Dutch-French-Irish

925 Dutch-German-Irish

926 Dutch-Irish-Scotch (or Scottish)

927 English-French-German

928 English-French-Irish

UNIQUE TRREE-ORIGIN MULTIPLE ANCESTRY CATEGORIES

406

Code Ancestry

929 English-German-Irish

930 English-Gersan-Swedish

931 English-Irish-Scotch (or Scottish)

932 English-Scotch (or Scottish)+elsh

933 French-German-Irish

934 German-Irish-Italian

935 German-Irish-Scotch (or Scottish)

936 German-Irish-Swedish

937-999 RESIDUAL CATEGORIES AND NO RESPONSE

937-994 (not used)

995 NOT CLASSIFIED

996 Bi racial (Biracial) 996 Combination 996 Everything 996 Heinz 57 996 Homo Sapien Y96 Human Being 996 Meny YYh Xixed 996 Mixture 996 Multiple Y9b Multiaational Y9b Several 996 Various

997 (not used)

998 Adventist 998 Agnostic 9YB Amish 998 Apostolic 998 Ashkenazim

-

407


998 Seventh-Day Adventist 998 Shiite 998 Sikh 998 Unitarian 998 7.oroastria*

999 999 999 999

No response (Blenk) Mopted None No response (Blank)

l-911 CODE RANGES FOR COMMON ANCESTRY

406-407 Moroccsn 429-432 Syrian 450-451 Middle Eastern 515-516 Congolese 520-521 Equatorial Guinea 522-523 Ethiopian 553-557 Nigerfen 570-574 South African 576-580 Sudanese 584-586 Tanzanian 591-592 Upper volt0 600-602 Afghan

1-2 Austrian 5-7 Belgian S-10 Cypriot 14-15 Dutch

613-625, 627 end 628

Asian Indian

,16-18. 96.97

English

24-27 Finnish

28-31, 98

French

32-44 German 46-48 Greek 52-73 Italien 79-81 Portuguese 83-87 SWISS 90-91 Nsatfa* 102-103 Bulgarian 104-105 Czechoslovakian 113-114 Hungarian 122-124 Polish 125-129 Rumanian 140-156 Russian 163-164 Ruthenian 200-204 Spaniard 205-208 Spanish 209-212 Mexican 310-312 Dutch Weat Indies 314-316 Trinidadian/Tobsgonie~ 327-328 Dominica Islander

633-635 Ceylonese 700-702 Burmese 703-704 Cambodian 706-712 Chinese 719-720 Japanese 725-727 Laotim 742-744 Thai 740-752 Vietnamese 800-801 Australian 805-806 New Zealander 808-809 New Guinea* 901-902 America* 909-911 Canadian

330-332 French West Indies

408

APPENDIX 84

CODE LIST FOR TYPE OF GROUP QUARTERS

Note: The population is divided into "noninstitutionsl" and "institutional" persons. To determine the appropriate classification, the type of living quarters (i.e., housing unit, institutional group quarters, or "onlnetitutlonal group quarters) and sometimes relationship (inmate or noninmate) must be considered. All persons in housing units, a11 persons in "o"l"stitutionsl group quarters. and persons who are not inmates but who live in institutional group quarters are classified a8 "noninstitutional." only tnose persons in institutional group quarters with a relationship of "iwate" are classified se "instltutlonal."

Code Group Qvarters

l-75 l-17 1

INSTITUTIONAL GROUP QUARTERS Homes, Schools, Hospitals, or Wards for Juveniles Specific type of homes, schools, hospitals, or wards for juveniles

not know”

2-4 2 3 4 5

Orphanage, home, or residential csre for neglected and dependent children Public/private not know" Public Private

6-9 10

11-17

11 12-14 12 13 14 15-17 15 16 17 18-19 20-27 20 21-23 21 22 23

Residential treatment center--including psychiatric care for emotionally disturbed children

not used Detention center or receiving home for either neglected or delinquent children. providing temporary care pending court disposition of case or placement Residential training school or home for juvenile delinquents, including industrial schools or camps Public/private not lmown Public

sex of iwates not know" Male inmstes Female inmates

private sex of inmates not know" Male inmates Female inmates

not used Correctional Institutio"s 11 Specific types of correc~io"al institutions not know" Federal prisons

sex of inmates not know" Male inmates Female innate8

1/ Wards in sental or general hospitals for the c=iminSlly i"eS"e s==

included under the appropriate governmental level if the ward is operated by a prison. Wards that are not operated by a prison are show" under Mental Hospitals.

409

Code

24-26 24 25 26 27 28 29 30-39 30

31-33

31 32 33 34-36 34 35 36 37-39 37 38 39 40-42

40 41 42 43-44 45-48

45 46 47 48 49

Group Quarters

State prisons Sex of inmates not known Male inmates Female inmates

Local (county, city) jsils, chain gangs. and workhouses not used Homes for Unwed Mothers Homes, Schools, Hospitals, or Wards for the Physically Hsndicspped

Specific type of homes, schools, hospltsls, or wads for the physically handicapped not known Orthopedic wards and places for crippled and other physically hsndi- capped--including those suffering from poliomyelitis, cerebsl palsy, or q usculsr dystrophy Public/private not known Public Private

Places for the blind Public/private not Imown rublic Private

Places for the deaf Public/private not lmown Public Private

Hones, Schools, Hospitals, or Wards for the Mentally Handicapped Xentslly Defective, Feebleminded, etc. Public/private not known Public Private

not used Mental (psychiatric) Hospitals or Wards--including patients in psychiatric wards of general hospitals and veterans' hospitals, and alcoholic treatsent and drug addiction centers, and in wards where psychiatric care for the mentally handicapped (mental defectives and feebleminded) is combined with other services 21 Federal/state/private not known Federal State or local Private

not used

21 If the ward is for the crlminslly insane and is operated by a prison, it is Shown under correctional institutions.

410

Code .~~

so-53

50 51

52 53 56 55

56-59 60-75

60 61-65

61 62-63 62 63 64-65 64 65 66-70 71-75 71 72-73 72 73 74-75 74 75 76-79.

80-98 80 81 02 83-85 a3 a4 85 86

87

croup ousrters

Hospitals or Wards for Tubercular Patients--1"cluding psti="ts 1" the TB bards of general or VA hospitals Federal/state/private "OC kaov" Federal State or local Private

not used &,sppitsls or Wards for Chronically Ill--excluding Pental and T+- including bards in general, ~ilicsry, and VA hos?ltals for the -

chronically ill; neurological wards; wsrds for patients with Rsnsen's disease (leprosy) and incurable diseases not used NUCS ing , Convslescenr, end Rest Romes, for tbe Aged and Dependent-- including County hazes, alDshouses, poor ferns, soldiers'. ssi.lors' , frsternsl or religious homes for the aged Public/private "of known Public

Federal/state or county/city "or knovll Federal and State

~novn to have nursing care Not lmom to have nursing care

County and City Knovn to have nursing care Not known to have nursing care

not used Private

Nonprofit/Proprietary not known private Non-profit

Known to have nursing care Nor knom to have nursing care

Private Froprktary Rnorn to have nursing care NOC knovn to have cursing care

not used

NONINSTITUTIONAL CROUP QUARTERS Rooting and Boarding 'dcuses, Tourist Hoses Cmnunes Missions. Flophouses, Salvation A.x~y Shelters, Railroad Stations, etc. Halfway houses

Public/private "of known Public Private

General Hoepltals--including rmrses ' donicories and interns' dorAtories College Student Dorzftories--Including Frsternfcy and Sorority Eouses md residential quarters ior college students in religious orders

Croup Quarters Conversion Religious Croup Qusrtcrs. Couvrnts. Honasterler, Rectories 21

21 Hehers of religious orders who work as rerldenc staff aemberr of a echo01

P r hospital are classified sccordirq co the type of group quarters fn vhich they ive (e.g.. the living v==re=s of nun* tie are UUCS~S and live et s gfsersl

hoispital are coded 66 instead of 89).

411

Codes

110 31 Y2

93

96 95

Y6-90 96-97 96

not used Crews of Civilian Vesseis Agricultural L'orkers' DomiCorieS on Fans --ixluding sigratory fan b-O:kS2:Sr cazlps on fa-ns, bunkhouses for ranch hands, and ocher doaitories cn iar=s, Izcll;ding t:.ose on 'iree :ax-zx Ocher ',‘ork.?rs' Podio::e;--including 1oggir.g caps, construction vorkers' cazps, job crainikg caps, a-,d rmofara r.igratory vorkers' caps that are XIC 03 fans

not used Casl~al Count--ixcludizg Jonhousehold liviry situations F.ot covered by any other etistizg GQ cod2 such as parks, canpsltes, racetracks, and trans:en: sites, etc.

.Xillcary CT, base

Transie~r quarters for te;l;rorary residents--including military or civilian

97 Other in military barracks 98 Mlitary shi?s 99 not usI33

. .

APPENDIX B5

INDUSTRY CLASSIFICATION CODES

(Nuubers in parentheses are the 1972 SIC code equivalents; see Executive Office of the President, Office of Management and Budget, Standard Industrial Classi- fication Manual, 1972 and the 1977 Supplement. “Pt” means part; *n.e.c." mans not elsewhere classified.)

Code Industry

c-9 10-31 10 11 12-19 20 21 22-29 30 31 32-39

40-50 40 41 42 43-49 50 51-59

60 CONSTRUCTION (15, 16, 17) 61-99 not used

100-392 100-222 100-122 1ou

.$WNUFACTUXING Nondurable Goods Food and kindred products Heat products (2.01) Dairy products (202) Canned and preserved fruits and vegetables (203) tiot used Grain mill products (204) Bakery products (205) Sugar and confectionery products (206) not used Beverage industries (208) Miscellaneous food preparations and kindred products (207, 209) Not specified food industries

not used Tobacco manufactures (21) not used Textile mill products

Knitting mills (225) not used Dyeing and finishing textiles, except wool and knit goods (226)

101 102 103-109 110 111 112 113-119 120 121 122 123-129 130 131 132-150 132 133-139 140

not used AGRICULTURE, FORESTRY, AND FISHERIES Agricultural production, crops (01) Agricultural production, livestock (02) not used Agricultural services, except horticultural (07, except 078) Horticultural services (078) not used Forestry (08) Fishing, hunting, and trapping (09) not used

MINING Metal mining (10) coal mining (11, 12) Crude petroleum and natural gas extraction (13) not used Nometallic mining and quarrying, except fuel (14) not used

413

Code Industry

141 142 143-149 150 151-152 151 152 153-159 160-162 lb0 161 162 163-170 171-172

Floor coverings, except hard surface (227) Yarn, thread, and fabric mills (228, 221-224) not used Miscellaneous textile mill products (229)

Apparel and other finished textile products Apparel and accessories, except knit (2X-238) Miscellaneous fabricated textile products (239)

not used Paper and allied products Pulp, paper, and paperboard mills (261-263, 266) iliscellaneous paper and pulp products (264) Paperboard containers and boxes (265)

got used Printing, publishing, and allied industries

Newspaper publishing and printing (271) Printing, publishing, and allied industries, except newspapers (272-279)

not used

171 172

173-179 180-192 180 181 182 183-189 190 191 192 193-199 200-201 200 201 202-209 210-212 210 211

212 213-219 220-222 220 221 222 223-229 230-391 230-241 230 231 232 233-240 241 242 243-249

Chemicals and allied products Plastics, synthetics, and resins (282) Drugs (283) Soaps and cosmetics (284) not used Paints, varnishes, and related products (285) Agricultural chemicals (287) Industrial and miscellaneous chemicals (281, 286, 289)

not used Petroleum and coal products Petroleum refining (291) Hiscellaneous petroleum and coal products (295, 299)

not used Rubber and miscellaneous plastics products Tires and inner tubes (301) Other rubber products, and plastics footwear and be;riq (302-3i4, 306) Hlscellaneous plastics products (307)

not used Leather and leather products Leather tanning and finishing (311) Footwear, except rubber and plastic (313, 314) Leather products, except footwear (315-317. 319)

not used Durable Goods Lumber and wood products, except furniture Lorsgi=s (241) Sawnills, planning mills, and millvork (242, 243) Wood buildings and mobile homes (245) not used Miscellaneous wood products (244, 249)

Furniture and fixtures (25) not used

414

-. Code

250-262 250 251 252 253-260 261 262 263-269 270-301 270 271 272 273-279

280

281 282 283-289 290 291 292 293-299 300 301 302-309 310-332 310 311 312 313-319 320 321 322 323-330 331 332 333-339 340-350 340 341 342

343-349 350

Industry

Stone, clay, glass, and concrete products Glass and glass products (321-323) Cement, concrete, gypsum, and plaster products (324, 327) Structural clay products (325) not used Pottery and related products (326) Miscellaneous nonmetallic mineral and stone products (328, 329)

not used Metal industries

Blast furnaces, steelworks, rolling and finishing mills (331) Iron and steel foundries (332) Primary aluninu~ industries (3334, part 334, 3353-3355, 3361) not used Other primary metal industries (3331-3333. 3339, part 334, 3351, 3356, 3357, 3362, 3369, 339) Cutlerv. handtools. and other hardware (342) Fabricaied structu;al metal products (344) not used Screw machine products (345) Metal forgings and stempings (346) Ordnance (348) not used Miscellaneous fabricated metal ptoducts (341, 343. 347, 349) Xot specified metal industries

not used Machinery, except electrical

Engines and turbines (351) Farm machinery and equipment (352) Construction and material handling machines (353) not used Metalworking machinery (354) Office and accounting machines (357, except 3573) Electronic computing equipment (3573) not used ?lachinery, except electrical, n.e.c. (355, 356, 358, 359) Not specified machinery

not used Electrical machinery, equipment, and supplies Household appliances (363) Radio, T.V., and communication equipment (365, 366) Electrical machinery, equipment, and supplies, n.e.c. (361, 362, 364, 367, 369) not used Not specified electrical machinery, equipment, and supplies

415

Code Industry

351-370 351 352 353-359 360 361 362 363-369 370 371-382 371 372 373-375, 380 381 382 383-389 390 391 392 393-399

Transportation equipment Xotor vehicles and motor vehicle equipment (371) Aircraft and parts (372) not used Ship and boat building and repairing (373) Railroad locomotives and eauiomcnt (374) Guided mfssiles, space veh%s, and~parts (376) not used Cycles and miscellaneous transportation equipment (375, 379)

Professional and photographic equipment, and watches Scientific and controlling instruments (381, 382) Optical and health services supplies (383, 384, 385) not used Photographic equipment and supplies (386) Xatches. clocks. and clockwork ooerated devices (387) Not specified professional equipment

not used

TOYS > amusement, and sporting goods (394) Miscellaneous manufacturing industries (39 except 394) Not specified manufacturing industries L/

not used

400-472 400-432 400 401 402 403-409 410 411 412 413-419 420 421 422 423-431 432 433-439 440-442 440 441 442 443-459 460-472 460 461 462 463-469

TP.&VSPOKTATION, COMMUNICATIONS, AND OTHER PUBLIC UTILITIES Transportation

Railroads (40) Bus service and urban transit (41 except 412) Taxicab service (412) not used Trucking service (421, 423) Warehousing and storage (422) U.S. Postal Service (43) not used Water transportation (44) Air transportation (45) Pipe lines, except natural gas (46) not used Services incidental to transportariw (47)

not used Comm""icatio"s Radio and television broadcasting (483) Telephone (wire and radio ) (481) Telegraph and miscellaneous communication services (482, 489)

not used Utilities and sanitary services Electric light and power (491) Gas and steam supply systems (492, 496) Electric and gas, and other combinations (493) not used

1/ iihen sixawn separately, "Not specified manufacturing" is at the same level as "Nondurable goods" and "Durable goods." khen not shown, it is tallied with "Durable goods."

416

Code

470 471 472 47 3-499 500-571 500-532 500 501 502 503-509 510 511 512 . 513-520 521 521 523-529 530 531 532 533-539 540-571 540 541 542 s43-54Y 550 551 552 553-559 560 561 56: 563-570 571 572-579

Motor vehicles and equipment (501) Furniture and home furnishings (502) Lumber and construction materials (503) not used Sporting goods, toys, and hobby goods (504) Metals and minerals. except petroleum (505) Electrical goods (506) - - not used Hardware, plumbing and heating supplies (507) Not specified electrlcal and hardware products not used Machinery, equipment, and supplies (508) Scrap and waste materials (5093) MiscellAneous wholesale. durable goods (5094, 5099)

not used Nondurable Goods Paper and paper products (511) Drugs, chemicals, and allied products (512, 516) Apparel, fabrics. and notions (513) not used Groceries and related products (514) Farm products - raw naterials (515) Petroleun products (517) not used Alcoholic beverages (518) Fam supplies (5191) Miscellaneous wholesal+, nondurable goods (5194, 5198, 5199) not used Not specified wholesale trade

not used

NJ-691 RETAIL TRADE 580 Lumber and building material retailing (521. 523) 581 Hardware stores (525) 582 Retail nurseries and garden stores (526) 583-589 not used 590 Mobile home dealers (527) 591 Department stores (531) 592 variety stores (533)

593-599 not used 600 Miscellaneous general merchandise stores (539) 601 Grocery stores (541) 602 Dairy products stores (545) 603-609 not used 610 Retail bakeries (546) 611 Food stores, ".e.c. (542, 543, 544, 549)

Industry

Water supply and irrigation (494, 497) Sanitary services (495) Not specified utilities

not used WHOLESALE TRADE Durable Goods

417

Industry

Motor vehicle dealers (551, 552) not used Auto and home supply stores (553) Gasoline service stations (554) Mscellaneous vehicle dealers (555, 556. 557, 559) not used Apparel and accessory stores, except shoe (56, except 566) Shoe storss (566) Furniture and home furnishings stores (571) not used Household appliances, TV. and radio stores (572, 573) Eating and drinking places (58) Drug stores (591) not used Liquor stores (592) Sporting goods, bicycles, and hobby stores (5941, 5945, 5946) Book and stationery stores (5942, 5943) not used Jewelry stores (5944) Sewing, needlework. and piece goods stores (5949) %sil order houses (5961) not used Vending machine operators (5962) Direct selling establishments (5963) Fuel and ice dealers (598) not used Ketail florists (5992) Cliscellaneous retail stores (593, 5947, 5948, 5993, 5994, 5999) not used Not specified retail trade not used

FINAiiCE, INSURANCE, AXD KEAL ESTATE Banking (60) Savings and loan associations (612) Credit agencies, n..s.c. (61, except 612) nor used Security, commodity brokerage, and investment companies (62, 67) Insurance (63, 64) Real estate, including real estate-insurance-law offices (65, 66)

not used

BUSINESS AND KEPAIR SERVICES Advertising (731) Services to dwellings and other buildings (734) not used Connercial research, developsent, and testing labs (7391, 7397) Personnel supply services (736) Business management and consulting services (7392) not used

612 613-619 620 621 622 623-629 630 631 632 633-639 640 641 642 643-649 650 651 652 653-659 660 661 662 663-669 670 671 672 673-680 681 682 683-690 691 692-699

700-712 700 701 702 703-709 710 711 712 713-720

721-760 721 722 723-729 730 731 732 733-739

418

-.~ Code -

740 741 742 743-749 750 751 752 753-759 760

761-791 761 762 763-769 770 771 772 773-779 780 781 782 783-709 790 791 792-799

PERSONAL SERVICES Private households (88) Hotels and motels (701) not used Lodging places , except hotels and motels (702, 703, Laundrv . clean ,ing, and garment services (721) Beauty. ihops (723) not used

704)

Barber shops (724) Funeral service and crematories (726) Shoe repair shops (725) not used Dressmaking shops (part 729) Miscellaneous personal services (722, part 729)

not used

800-802 ENTERTAINMENT AND RECREATION SERVICES 800 Theaters and motion pictures (78, 792) 801 Bowling alleys, billiard and pool parlors (793) 802 Miscellaneous entertainment and recreation services (791, 794, 799) 803-811 not used

612-892 a12 813-819 820 821 822 823-829 830 831 832 833439 840 841 842 843-849

PROFESSIONAL AND RELATED SERVICES offices of physicians (801, 803) not used Offices of dentists (802) offices of chiropractors (8041) offices of optometrists (8042) not used offices of health practitioners, n.e.c. (8049) &xpitals (806) Nursing and personal care facilities (805) not used Health services, n.e.c. (807, 808, 809) Legs1 services (81) Elementary and secondary schools (821) not used

050 851 852 853-859 860

Industry

Computer and data processing services (737) Detective and protective services (7393) Business services, n.e.c. (732, 733, 735, 7394, 7395, 7396, 7399) not used Automotive services, except repair (751, 752, 754) Automotive repair shops (753) Electrical repair shops (762, 7694) not used Miscellaneous repair services (763, 764, 7692. 7699)

Colleges and universities (822) Business, trade, and vocational schools (824) Libraries (823) nor used Educational services, n.e.c. (829)

419

Code Industry

861 862 863-369 870 Y71 872 873-879 880 881 882 883-889 890 891 8Y2 893-389

Job training and vocational rehabilitation services (833) Child day care services (835) not used Residential care facilities, without nursing (836) Social services, n.e.c. (832, 839) Z$eum;: art galleries, and zoos (84)

Religious organizations (866) Membership organizations (861-865, 869) Engineering, architectural, and surveying services (891) not used Accounting, auditing, and bookkeeping services (893) Noncommercial educational and scientific research (892) Miscellaneous professional and related services (899)

not used

900-932 900 901 902-909 910 911-920 921 922 923-929 930 931 932 933-990

Y91

992

993

PUBLIC ADMINISTRATION Executive and legislative offices (911-913) General government, n.e.c. (919) not used Justice, public order, and safety (92) not used Public finance, taxation, and monetary policy (93) Administration of hunan resources programs (94) not used Administration of envirowental quality and housing programs (95) Administration of economic programs (96) National security and international affairs (97)

not used

Assigned to persons whose labor force status !s unemployed and whose last job was Armed Forces since lY75. Assigned to persons whose labor force status is unemployed and who last worked in iY74 or earlier. not used

420

APPESDIX 86

OCCUPATIONAL CLASSIFICATION CODES FOR DETAILED OCCUPATIONAL CATEGORIES

(Numbers in parentheses are the 1980 SOC code equivalent; see U.S. Department of Commerce, Office of Federal Statistical Policy and Standards. Standard Occupational Classification Manual, 1980. "Pt" means part; van.e.c." means not elsewhere classified.)

Code

o-2 3-199 3-37 3 4

5 6 7 8 9 10-12 13 14 15 16 17 18 19

20-22 23-37 23 24 25 26 27 28 29 30-32 33 34 35 36 37 38-42

not used XANAGERIAL ANU PROFESSIONAL SPECIALTY OCCUPATIONS Executive, Administrative, and Managerial Occupations Legislators (111) Chief executives and general adninistrators, public administration

(112) Administrators and officials, public adninistration (1132-1139) Administrators, protective services (1131) Financial managers (122) Personnel and labor relations managers (123) Purchasing managers (124) not used Managers, marketing, advertising, and public relations (125) Administrators, education and related fields (128) Managers, medicine and health (131) Hanagers, properties and real estate (1353) Postmasters and mail superintendents (1344) Funeral directors (pt 1359) Managers and administrators, n.e.c. (121. 126, 127, 132-139, ext. 1344,1353, pt 1359)

not used Management Related Occupations Accountants and auditors (1412) Underwriters (1414) Other financial officers (1415, 1419) Management analyst:. (142) Personnel, training, and labor relations specialists (143) Purchasing agents and buyers, farm products (1443) Buyers, wholesale and retail trade except farm products (1442) not used Purchasing agents and buyers, n.e.c. (1449) Business and promotion agents (145) Construction inspectors (1472) Inspectors and compliance officers, ext. construction (1473) Management related occupations, n.e.c. (149)

not used

421

Code

43-199 43-63 43 44-59 44 45 46 47 48 49 50-52 53 54 55 50 57 56 59 60-62 63 64-68 64 65 66 67 68 69-83 69 70-72 73 74 75 76 77 ;s 71) 80-82 83 84-89 84 85 86 a7 88 89 90-94 95-106 95 Yb 97 98-105 98 99

Occupation

Professional Specialty Occupations Engineers, Architects, and Surveyors Architects (161) Engineers Aerospace (1622) Metallurgical and materials (1623) Mining (1624) Petroleum (1625) Chemical (1626) Nuclear (1627) not used Civil (1628) Agricultural (1632) Electrical and electronic (1633, 1636) Industrial (1634) Mechanical (1635) Marine and naval architects (1637) Engineers, n.e.c. (1639)

not used Surveyors and mapping scientists (164)

Mathematical and Computer Scientists Computer systems analysts snd scientists (171) Operations and systems researchers and analysts (172) Actuaries (1732) Statisticians (1733) Mathematical scientists, n.e.c. (1739)

Natural Scientists Physicists and astronomers (1842, 1843) not used Chemists, except biochemists (1845) Atmospheric and space scientists (1846) Geologists and geodeists (1847) Physical scientists, n.e.c. (1849) Agricultural and food scientists (1853) Biological and life scientists (1854) Forestry and consemation scientists (1852) not used Medical scientists (1855)

Health Diagnosing Occupations Physicians (261) Dentists (262) Veterinarians (27) Optometrists (281) Podiatrists (283) Health diagnosing practitioners. n.e.c. (289)

not used Health Assessnent and Treating Occupations Registered nurses (29) Pharmacists (301) Dietitians (302) Therapists

Inhalation therapists (3031) Occupational therapists (3032)

-.

Code

100-102 not used

103 Physical therapists (3033) 104 Speech therapists (3034) 105 Therapists, n.e.c. (3039) 106 Physicians' assistants (304) 107-112 not used 113-154 Teachers, Postsecondary 113 Earth, envirowental, and marine science teachers (2212) 114 Biological science teachers (2213) 115 Chemistry teachers (2214) 116 Physics teachers (2215) 117 Natural science teachers, n.e.c. (2216) 118 Psychology teachers (2217) 119 Economics teachers (2218) 120-122 not used 123 History teachers (2222) 124 Political science teachers (2223) 125 Sociology teachers (2224) 126 Social science teachers, n.e.c. (2225) 127 Engineering teachers (2226) 128 Mathematical science teachers (2227) 129 Computer science teachers (2228) 130-132 not used 133 Medical science teachers (2231) 134 Health specialties teachers (2232) 135 Business, commerce, and marketing teachers (2233) 136 Agriculture and forestry teachers (2234) 137 Art, drama, and music teachers (2235) 138 Physical education teachers (2236) 139 Education teachers (2237) 140-142 not used 143 English teachers (2238) 144 Foreign language teachers (2242) 145 Law teachers (2243) 146 Social work teachers (2244) 147 Theology teachers (2245) 148 Trade and industriz! teachers (2246) 149 Home econcmics teachers (2247) 150-152 not used 153 Teachers, postsecondary, n.e.c. (2249) 154 Yostsecondary teachers, subject not specified 155-159 Teachers, Except Postsecondary 155 Teachers, prekindergarten and kindergarten (231) 156 Teachers, elementary school (232) 157 Teachers, secondary school (233)

158 Teachers, special education (235) 159 Teachers, n.e.c. (236, 239) 160-162 not used

423

Code

163 164-165 164 165 166-173 166 167 168 169 170-172 173 174-177 174 175 176 177 178-179 178 179 1SO-182 183-199 183 184 185 186 187 188 139 190-192 193 194 195 196 197 198 199 200-202

203-389 203-235 203-208 203 204 205 206 207 208

Occ"patio"

Counselors, educational and vocational (24) Librarians, Archivists, and Curators Librarians (251) Archivists and curators (252)

Social Scientists and Urban Planners Economists (1912) Psychologists (1915) Sociologists (1916) Social scientists, n.e.c. (1913, 1914, 1919) not used Urban planners (192)

Social, Recreation. and Religious Workers Social workers (2032) Recreation workers (2033) Clergy (2042) Religious workers, n.e.c. (2049)

Lawyers and Judges Lawyers (211) Judges (212)

not used Writers, Artists, Entertainers, and Athletes Authors (321) Technical writers (398) Designers (322) Musicians and composers (323) Actors and directors (324) Painters, sculptors, craft-artists, and artist print-makers (325) Photographers (326) not used Dancers (327) Artists, performers, and related workers, n.e.c. (328, 329) Editors and reporters (331) not used Public relations specialists (332) Announcers (333) Athletes (34)

not used

TECHNICAL, SALES, AND ADMINISTRATIVE SUPPORT OCCUPATIONS Technicians and Related Support Occupations

Health Technologists and Technicians Clinical laboratory technologists and technicians (362) Dental hygienists (363) Health record technologists and technicians (364) Radiologic technicians (365) Licensed practical nurses (366) Health Technologists and technicians, n.e.c. (369)

424

-. Code -

209-212 213-235 213-218 213 214 215 216 217 218 219-222 223-225 223 224 225 226-235 226 227 228 229 230-232 233 234 235 236-242 243-285 243 244-252 253-257 253 254 255 256 257 25X-25Y 258 259

260-262 263-278 263 264 265 266 267 268 269 270-273 274

OccupaCion

not used Technologists and Technicians, Except Health Engin$ering and Related Technologists and Technicians

Electrical and electronic technicians (3711) Industrial engineering technicians (3712) Mechanical engineering technicians (3713) Engineering technicians, n.e.c. (3719) Drafting occuptations (372) Surveying and mapping technicians (373)

not used Science Technicians Biological technicians (382) Chemical technicians (3831) Science technicians, n.e.c. (3832, 3833, 384, 389)

Technicians; Except Health, Engineering, and Science Airplane pilots and navigators (825) Air traffic controllers (392) Broadcast equipment operators (393) Computer programmars (3971. 3972) not used Tqol programmers, numerical cnntrO1 (3974) Legal assistants (396) Technicians, n.e.c. (399)

not used Sales Occupations Supervisors and proprietors, sales occupations (40) not used Sales Representatives, Finance and Business Services

Insurance sales occupations (4122) Real estate sales occupations (4123) Securities and financial services sales occupations (4124) Advertising and related sales occupations (4153) Sales occupations, other business services (4152)

Sales Representatives, Commodities Except Retail Sales engineers (421) Sales representatives, mining, manufacturing, and wbolrsale (423, 424)

not used Sales Workers, Retail and Personal Services Sales workers, motor vehicles and boats (4342, 4344) Sales workers, apparel (4346) Sales workers, shoes (4351) Sales workers, furniture and home furnishings (4348) Sales workers; radio. TV, hi-fi. and appliances (4343, 4352) Sales workers, hardware and building supplies (4353) Sales workers, parts (4367) not used Sales workers, other commodities (4345,4347, 4354, 4356, 4359, 4362, 4369)

-

425

Code

275 27ti 277 278 279-282 283-285 283 284 285 286-302 303-389 303-307 303 304 305 306 307

308-309 308 309 310-312 313-31s 313 314 315 316-323 316 317 318 319 320-322 323 324 325-336 325 326 327 328 329 330-334 335 336 337-344 337 338 339 340-342

occupation

sales counter clerks (4363) Cashiers (4364) Street and door-to-door sales workers (4366) News vendors (4365)

not used Sales Related Occupations Demonstrators, promoters and models, sales (445) Auctioneers (447) sales support occupations, n.e.c. (444, 446, 449)

not used Administrative Support Occupations, Including Clerical

Supervisors, Administrative support occupations Supervisors, general office (4511, 4513, 4514, 4516, 4519, 4529) supervisors, computer equipment operators (4512) supervisors, financial records processing (4521) Chief communications operators (4523) Supervisors; distribution, scheduling, and adjusting clerks (4522, 4524-4528)

Computer Equipment Operators Computer operators (4612) Peripheral equipment operators (4613)

not used Secretaries, Stenographers and Typists Secretaries (4622) Stenographers (4623) Typists (4624)

Information Clerks Interviewers (4642) Hotel clerks (4643) Transportation ticket and reservation agents (4644) Receptionists (4645) not used Information clerks, n.e.c. (4649)

not used Records Processing Occupations, Except Financial Classified-ad clerks (4662) Correspondence clerks‘(4665) Order clerks (4664) personnel clerks, except payroll and timekeeping (4692) Library clerks (4694) not used File clerks (4696) Records clerks (4699)

Financial Records Processing Occupations Bookkeepers, accounting, and auditing clerks (4712) Payroll and timekeeping clerks (4713) Billing clerks (4715) not used

426

Code --

343 344 345-347 345 346 347 348-353 348 349 350-352 353 354-357 354 355 356 357 358 359-374 359 360-362 363 364 365 366 367 368 369 370-372 373 374

375-378 375 37b 377 378 379-389 379 380-382 383 384 385 386 387 388 389 390-402

Occupation

Cost and rate clerks (4716) Billing, posting, and calculating machine operators (4718)

Duplicating, Mail and Other Office Machine Operators Duplicating machine operators (4722) Mail preparing and paper handling machine operators (4723) Office machine operators. n.e.c. (4729)

Communications Equipment Operators Telephone operators (4732) Telegraphers (4733) not used Communications equipment operators, n.e.c. (4739)

Mail and Message Distributing Occupations Postal clerks, ext. mail carriers (4742) Nail carriers, postal service (4743) Kail clerks, ext. postal service (4744) Xessengers (4745)

not used .%terial Recording, Scheduling, and Distributing Clerks, n.e.c. Dispatchers (4751) not used Production coordinators (4752) Traffic, shipping, and receiving clerks (4753) Stock and inventory clerks (4754) Meter readers (4755) not used Weighers, measurers, and checkers (4756) Samplers (4757) not used Expediters (4758) Material recording, scheduling, and distributing clerks, n.e.c. (4759)

hijusters and Investigators Insurance adjusters, examiners, end investigators (4782) Investigators and adjusters, except insurance (4783) Eligibility clerks, social welfare (4784) Bill and account collectors (4786)

:tiscellaneous Administrative Support Occupations General office cler!zs (463) not used Bank tellers (4791) Proofreaders (4792) Data-entry keyers (4793) Statistical clerks (4794) Teachers aides (4795) not used Administrative support occupations, n.e.c. (4787, 4799)

not used

427

Code

403-469 403-407 403 404 405 406 407 408-412 413-427 413-415 413 414 415 416-417 416 417 418-424 418 419-422 423 424 425-427 425 426 427 428-432 433-469 433-444 433 434 435 436 437 438 439 440-442 443 444 445-447 445 446 447 448-455 448 449 450-452 453 454 455

Occupstio"

SEKVICE OCCUPATIONS Private Household Occupations

Launderers and ironers (503) Cooks, private household (504) Housekeepers and butlers (505) Child care workers, private household (506) Rivate household cleaners and servants (502, 507, 509)

not used Protective Service Occupations

Supervisors. Protective Service Occupations Supervisors, firefighting and fire prevention occupations (5111) Supervisors, police and detectives (5112) Supervisors, guards (5113)

Firefighting and Fire Prevention Occupations Fife inspection and fire prevention occupations (5122) Firefighting occupations (5123)

Police and Detectives Police and detectives, public service (5132) not used Sheriffs, bailiffs, and other law enforcement officers (5134) Correctional institution officers (5133)

Guards Crossing guards (5142) Guards and police, ext. public service (5144) Protective service occupations, n.e.c. (5149)

not used Service Occupations, Except Protective and Household Food Preparation and Service Occupations

Supervisors, food preparation and service occupations (5211) Bartenders (5212) Waiters and waitresses (5213) Cooks, except short order (5214) Short-order cooks (5215) Food counter, fountain and related occupations (5216) Kitchen workers, food preparation (5217) not used Waiters'/waitresses' assistants (5218) Miscellaneous food preparation occupations (5219)

Health Service Occupations Dental assistants (5232) Health aides, except nursing (5233) Nursing aides, orderlies, and attendants (5236)

Cleaning and Building Service Occupations, except Household Supervisors, cleaning and building service workers (5241) Maids and housemen (5242.5249) not used Janitors and cleaners (5244) Elevator operators (5245) Pest control occupations (5246)

428

Code

456-469 456 457 458 459 460-462 463 464 465 466 467 468 469 470-472

473-499 473-476 473 474 475 476 477-489 477-484 477 478 479 480-482 483 404 485-409 485 486 487 488 489 490-493 494-496 494 495 496 497-499 497 498 499 500-502

Occupation

Personal Service Occupations Supervisors, personal service occupations (5251) Barbers (5252) Hairdressers and cosmetologists (5253) Attendants, amusement and recreation facilities (5254) not used Guides (5255) Ushers (5256) Public transportation attendants (5257) Baggage porters and bellhops (5262) Welfare service aides (5263) Child care workers, except private household (5264) Personal service occupations, n.e.c. (5258, 5269)

not used

FARMING, FORESTRY, AND FISHI!iG OCC~JPATIONS Farm Operators and Xanagers Farmers, except horticultural (5512-5514) Horticultural specialty farmers (5515) Managers, farms, except horticultural (5522-5524) Managers, horticultural specialty farm (5525)

Other Agricultural and Related Occupations Farm Occupations, Except i%nagerial Supervisors, farm workers (5611) not used Farm workers (5612-5617) not used Marine life cultivation workers (5618) Nursery workers (5619)

Related Agricultural Occupations Supervisors, related agricultural occupations (5621) Groundskeepers and gardeners, except farm (5622) Animal caretakers, except farm (5624) Graders and sorters, agricultural products (5625) Inspectors, agricultural products (5627)

not used Forestry and Logging Occupations

Supervisors, forestry and logging workers (571) Forestry workers, except logging (572) Timber cutting and logging occupations (573, 579)

Fishers, Hunters, and Trappers Captains and other officers, fishing vessels (pt 8241) Fishers (583) Hunters and trappers (584)

not used

429

Code

503-699 503-549 503 504 505-549 505-517 505 506 507 508 509 510-513 514 515 516 517 518 519 520-522 523-533 523

524 525 526 527 528 529 530-532 533

534 S35-549 535 536 537 538 539 540-542 543 544 545-546 547 548 549 550-552 553--599 553-558 553 554 555 556

Occupation

PRECISION PRODUCTION, CRAFT, AND REPAIR OCCUPATIONS Mechanics and Repairers

supervisors, mechanics and repairers (60) not used Mechanics and Repairers, Except SuperViSorS Vehicle and Uobile Equipment Mechanics and Repairers Automobile mechanics (pt 6111) Automobile mechanic apprentices (pt 6111) Bus, truck, and stationary engine mechanics (6112) Aircraft engine mechanics (6113) Small engine repairers (6114) not used Automobile body and related repairers (6115) Aircraft mechanics, ext. engine (6116) Heavy equipment mechanics (6117) Farm equipment mechanics (6118)

Industrial machinery repairers (613) Machinery maintenance occupations (614) not used Electrical and Electronic Equipnat Repairers Electronic repairers, communications and industrial equipment (6151, 6153, 6155)

not used Data processing equipment repairers (6154) Household appliance and power tool repairers (6156) Telephone line installers and repairers (6157) not used Telephone installers and repairers (6158) not used Miscellaneous electrical and electronic equipment repairers (6152, 6159)

Heating, air conditioning, and refrigeration mechanics (616) Miscellaneous Xechanics and Repairers

Camera, watch, and musical instrument repairers (6171, 6172) Locksmiths and safe repairers (6173) not used Office machine repairers (61743 Mechanical controls and valve repairers (6175) not used Elevator installers and repairers (6176) Millwrights (6178) not used Specified mechanics and repairers, n.e.c. (6177, 6179) not used Not specified mechanics and repairers

not used Construction Trades supervisors, construction occupations Supervisors; brickmasons. stonemasons, and tile setters (6312) Supervisors, carpenters and related workers (6313) Supervisors, electricians and power transmission installers (613i) Supervisors; painters, paperhangers, and plasterers (6315)

430

Code -~ -

557

55a 559-562 563-599 563 564 565 566 567 568 569 570-572 573 574 575 5i6 577 57a 579 580-582 583 584 585 586 587 588 589 590-592 393 594 595 596 5Y7 598 59Y 600-612

613-617 613 614 615 616 617 618-632 633-699 633 634-655 634 635 636 637

Occupation

Supervisors; plumbers, plpefltters, and steamfitters (6316) Supervisors, n.e.c. (6311, 6318)

not used Construction Trades, Except Supervisors nricbasons and stonemasons (pt 6412, pt 6413) Brickmason and stonemason apprentices (pt 6412, pt 6413) Tile setters, hard and soft (6414, pt 6462) Carpet installers (pt 6462) Carpenters (pt 6422) not used Carpenter apprentices (pt 6422) not used brywall installers (6424) not aed Electricians (pt 6432) Electrician apprentices (pt 6432) Electrical power Installers and repairers (6433) not used Painters, construction and maintenance (6442) not used Paperhangers (6443) Plasterers (6444) Plumbers, pipefitters, and steamfitters fpt 645) not used Plumber, pipefitter, and steamfitter apprentices (pt 645) Concrete and terrazzo finishers (6463) Glaziera (6464) not used Insulation workers (6465) Paving, surfacing, and tamping equipment operators (6466) Roofers (6468) Sheetmetal duct installers (6472) Structural metal workers (6473) Drillers, earth (6474) Construction trades, n.e.c. (6467, 6475, 6476, 6479)

not used Extractive Occupations

Supervisors, extractive occupations (632) Drillers, oil well (652) Explosives workers (653) Mining machine operators (654) Xinfng occupations, n.e.c. (656)

not used Precision Production Occupations Supervisors, production occupations (67, 71) Precision Xetal Working Occupations Tool and die makers (pt 6811) Tool and die maker apprentices (pt 6811) Precision assemblers, metal (6812) Xachinists (pt 6813)

-.

431

-

Code -

638 639 640-642 643 644 645 646 647 648 649 650-652 653 654 655 656-659 656 657 658 659 660-665 666-674 666 667 668 669 670-672 673 674 675-684 675 676 677 678 679 680-682 683 684 685 686-688 686 687 688 689-693 689 690-692 693 694-699 694 695 696 697-698 699 700-702

0ccupat10n

not used Nachinist apprentices (pt 6813) not used Boilermakers (6814) Precision grinders, fitters, and tool sharpeners (6816) Patternmakers and model makers, metal (6017) Lay-out workers (6821) Precious stones and metals workers (jewelers) (6822, 6866) not used Engravers, metal (6823) not used Sheet metal workers (pt 6824) Sheet metal worker apprentices (pt 6024) Miscellaneous precision metal workers (6829)

Precision Woodworking Occupations Patternmakers and model makers, wood (6831) Cabinet makers and bench carpenters (6832) Furniture and wood finishers (6835) Miscellaneous precision woodworkers (6839)

not used Precision Textile, Apparel, and Furnishings Mschine Workers

Dressmakers (pt 6852, pt 7752) Tailors (pt 6852) Upholsterers (6853) Shoe repairers (6854) not used Apparel and fabric patternmakers (6856) Miscellaneous Drecision aDDare and fabric workers (b859. pt 7752) . .

Precision Workers, Assorted Materials Hand molders and shapers, except jewelers (6861) Patternmakers, lay-out workers, and cutters (6862) optical goods workers (6864, pt 7477, pt 7677) Dental laboratory and medical appliance technicians (6865) Bookbinders (6844) not used Electrical and electronic equipment assemblers (6867) Miscellaneous precision workers, n.e.c. (6869)

not used Precision Food Production Occupations Butchers and meat cutters (6871) askers (6872) Food batchmakers (6873, 6879)

Precision Inspectors, Testers, and Related Workers Inspectors, testers, and graders (6881, 828) not used Adjusters and calibrators (6882)

Plant and System Operators Water and sewage treatment plant operators (691) Power plant operators (pt 693) Stationary engineers (pt 693, 7668) not used Miscellaneous plant and system operators (692, 694, 695, 696)

not used

432

Code Occupation

io3-SE9 7u3-799 703-779 703-715 703 704 705 706

707 708 709

710-712 713 711 715

716 717 718 719-725 719 720-722 723 724 725

726-733 726

727 7% 729 730-732 733 734-737 734 735 736 737 738-749 738 739

740-742 743 744 745 746 747

OPEUTORS, FABRICATOKS, AND LABORERS llachine Operators, Assemblers, and Inspectors ilschlne Operators and Tenders, except Precision

hetalworking and Plastic Working Xschine Operator* Lathe and turning mschlne set-up operators (7312) Lathe and turning machine operators (7512) Milling and planing machine operators (7313, 7513) Punching and stamping press machine operators (7314, 7317, 7514, 7517)

Rolling machine operators (7316, 7516) Drilling and boring uschine operators (7318. 7518) Grinding, abrading. buffing, and polishing machine operators (7322. 7324, 7522)

not used Forging machine operators (7319, 7519) Numerical control machine operators (7326) Miscellaneous metal, plastic, stone, and glass working machine operators (7329, 7529)

not used Fabricating machine operators, n.e.c. (7339, 7539) not used Metal and Plastic Processing Mschine Operators Molding and casting machine operators (7315, 7342, 7515, 7542) not used Metal plating machine operators (7343, 7543) Heat treating equipment operators (7344, 7544) Miscellaneous metal and plastic processing machine operators (7349, 7549)

Woodworking Machine Operators Wood lathe, routing, and planeing machine operators (7431, 7432, 7631, 7632) Sawing machine operators (7433. 7633) Shaping and joining machine operators (7435, 7635) Nail and tacking mschine operators (7636) not used Miscellaneous woodworking machine operators (7434, 7439, 7bJ4, 7639)

Printing Mschine Operators Printing machine operators (7443, 7643) Photoengravers and lithographers (6842, 7444, 7644) Typesetters and canpositors (6841,7642) Miscellaneous printing machine operators (6849, 7449, 7649)

Textile, Apparel, and Furnishings Machine Operators Winding and twisting machine operators (7451, 7651) Knitting, looping, taping, and weaving machine operators (7452, 7652) not used Textile cutting machine operators (7654) Textile sewing machine operators (7655) Shoe machine operators (7656) not used Pressing machine operators (7657)

433

Code

748 749 75th-752 753-779

753 754 755 756 757

758 759 760-762 763 764 765 766 767 768 769 770-772 773 774 775-776 777 778 779 780-782 783-795 783 784 785 786 787 7118 789 790-792 7Y3 794 795 796-799 796 797

79a 799 800-802 803459 803-814 a03 804 805

0ccupati0n

Laundering and dry cleaning machine operators (6855, 7658) Xiscellaneous textile nachine operators (7459, 7659)

not used Machine Operators, Assorted &Materials Cementing and gluing machine operators (7661) Packaging and filling machine operators (7462.7662) Extruding and forming machine operators (7463. 7663) Mixing and blending machine operators (7664) Separating, filtexing, and clarifying machine operators (7476,

7666, 7676) Compressing and compacting machine operators (7467, 7667) Painting and paint spraying machine operators (7669) not used Roasting and baking machine operators, food (7472, 7672) Washing, cleaning, and pickling machine operators (7673) Folding machine operators (7474, 7674) Furnace, kiln, and oven operators, ext. food (7675) not used Crushing and grinding machine operators (pt 7477, pt 7677) Slicing and cutting machine operators (7478, 7678) not used l$orion picture projectionists (pt 7479) Photographic process machine operators (6863, 6868, 7671) not used Miscellaneous machine operators, n.e.c. (pt 7479, 7665, 7679) not used Machine operators, not specified

not used

Fabricators, Assemblers, and Hand Working Occupations Welders and cutters (7332, 7532, 7714) Solderers and brazers (7333, 7533, 7717)

Assemblers (772. 7741 Hand cutting and trimming occupations (7753) Hand molding, casting, and forming occupations (7754, 7755) not used Hand painting, coating, and decorating occupations (i756) not used Hand engraving and printing occupations (7757) Hand grinding and polishing occupations (7758) Miscellaneous hand working occupations (7759)

Production Inspectors, Testers, Samplers, and Weighers Production inspectors, checkers, and examiners (782,787) Production testers (783) Production samplers and weighers (784) Graders and sorters, ext. agricultural (785)

not used

Transportation and Material Moving Occupations Motor Vehicle Operators

Supervisors, motor vehicle operators (8111) Truck drivers, heavy (8212, 8213) Truck drivers, light (8214)

434

Code

. -~ 806 807 808 a09 810-812 al3 a14 815-822 823-834 823-826 823 824 a25 826 827 828-834 8211 829 830-832 a33 834 835-842 843-859 843 844 845 046-847 848 849 850-852 853 854 855 856 857-858 85') 860-862 863-889 863 864 865-867 865 866 867 868 869 870-872 a73 874

Occupati""

Driver-sales workers (8218) not used Bus drivers (8215) Taxicab drivers and chauffeurs (8216) not used Parking lot attendants (874) Motor transportation occupations, n.e.c. (8219)

not used

Transportation Occupations, Except Motor Vehicles Rail Transportation Occupstions Railroad conductors and yardmasters (8113) Locomotive operating occupations (8232) Railroad brake, signal, and switch operators (8233) Rail vehicle operators, n.e.c. (8239)

not used Water Transportation Occupations

ship captains and mates, except fishing boats (pt 8241, 8242) Sailors and deckhands (8243) not used Marine engineers (8244) Bridge, lock, and lighthouse tenders (8245)

not used Material Moving Equipment Operators

Supervisors, material moving equipment operators (812) Operating engineers (a312) Longshore equipment operators (8313) not used Hoist and winch operators (8314) Crane and tower operators (8315) not used Excavating and loading machine operators (8316) not used Grader, dozer, and scraper operators (8317) Industrial truck and tractor equipment operators (831d) not used Miscellaneous material moving equipment operators (8319)

not used Handlers, Equipment Cleaners, Helpers, and Laborers

Supervisors, handlers, equipment cleaners, and laborers, n.e.c. (85) Helpers, mechanics and repairers (863) Helpers, Construction and Extractive Occupations Helpers, construction trades (8641-8645, 8648) Helpers, surveyor (8646) Helpers, extractive occupations (865)

not used Construction laborers (871) not used Production helpers (861, 862) not used

435

.

Code

8 75-983 875 876 877 878 879-882 883 884 885 886 887 888 889 390-904

905

906-908 909

Ylot

Occupati""

Freight, Stock, and Material Handlers Garbage collectors (8722) Stevedores (8723) Stock handlers and baggers (8724) Machine feeders and offbearers (8725) not used Freight, stock, and material handlers, n.e.c. (8726)

not used Garage and service station related occupation (873) not used Vehicle washers and equipment cleaners (875) Hand packers and packagers (8761) Laborers, except construction (8769) not used

Assigned to persons whose labor force status is unenployed and whose last job was Armed Forces since 1975. not used Assigned to persons whose labor force status is unemployed and who last worked in 1974 or earlier. not used

436

APPENDIX 87

1980 CRiS"S LABOR FORCE STATUS CATZGORIES

Description

I" labor force: Civilian labor force:

Employed:

At work With e job, but not at vork

Unemployed Armed Forces:

At work With a job, but not et work

Not in lador force

Note 1: For tabulations of Place-of-work item,

is defined es code 1 and code 4 above.

Code ---

1

2

3

4 5

6

the concept *workers.

Note 2: FOC the derived measure, 'Nonworkers per 100 workers,' the

denominator 'worker" is defined as codes 1. 2, 3, 4. and 5. The

numerator is defined as code 6 plus all persons under 16 years of age.

Note 3: The concept 'Workers in 1979" does not refer to the above

codes.

437

Census of Population and Housing, 1980 (United States)

Documents

Transcript of Census of Population and Housing, 1980 (United States)