American Community Survey, 2004-2006 [United States]: Public Use Microdata Sample: Artist Extract File

Table of Contents

Please note: this codebook has been prepared in accordance with the Data Documentation Initiative's XML DTD. For more information, please consult the DDI documentation at http://www.icpsr.umich.edu/DDI/.

Document Description-- Marked-up Document

The document description contains information about the CPANDA codebook, not about the study itself. All CPANDA codebook citations contain bibliographic information for the codebook and archival details related to its creation.

The citation in the document description should be used by individuals who cite information from the codebook. It is not intended as a citation for the data set.

Title: American Community Survey, 2004 - 2006 [United States]: Public Use Microdata Sample: Artist Extract File

Alternative Title: ACS Artists Extract File 2004-2006

CPANDA Identification Number: a00253

Author: Cultural Policy and the Arts National Data Archive

Produced By: Cultural Policy and the Arts National Data Archive, August 19, 2009, Princeton, NJ: Cultural Policy and the Arts National Data Archive

Software used in Production: oXygen XML Editor

Funding Agency/Sponsor: Pew Charitable Trusts

Grant Number: 2000-001763

Distributed By: Cultural Policy and the Arts National Data Archive, Social Science Reference Center, Princeton University Library, August 20, 2009

Contact Person: CPANDA, Princeton University (cpanda@princeton.edu)

Depositor: National Endowment for the Arts, August 15, 2008

Series
American Community Survey [United States]: Public Use Microdata Sample: Artist Extract Files
The National Endowment for the Arts has extracted relevant to research about artist occupations from American Community Survey public use microdata samples (PUMS) and combined for the years 2003 to 2005. The files contain records of all persons in households with one or more persons having a detailed occupation code considered "artist" by NEA.

Version Statement: First CPANDA Edition, CPANDA

APA Citation: Cultural Policy and the Arts National Data Archive. 2009. AMERICAN COMMUNITY SURVEY, 2004-2006 [UNITED STATES]: PUBLIC USE MICRODATA SAMPLE: ARTIST EXTRACT FILE [codebook file]. CPANDA ed. Princeton, NJ: Cultural Policy and the Arts National Data Archive [producer and distributor].

Holdings Information: Marked-up codebook for American Community Survey, 2004-2006 [United States]: Public Use Microdata Sample: Artist Extract File http://www.cpanda.org

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Document Description-- Source Document

Title: American Community Survey, 2004-2006: Public Use Microdata Samples U.S. Technical Documentation

Author: U.S. U.S. Census Bureau

Produced By: US. U.S. Census Bureau, 2008, Washington, DC

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Study Description-- Citation - Data Collection

The study description contains information concerning the research process that created the data set.

The citation in the study description should be used by individuals who are citing the use of the data set.

Title: American Community Survey, 2004-2006 [United States]: Public Use Microdata Sample: Artist Extract File

Alternative Title: ACS Artists Extract File 2004-2006

CPANDA Identification Number: a00253

Author:

  • U.S. Census Bureau
  • National Endowment for the Arts

Produced By: U.S. Census Bureau; National Endowment for the Arts, Research Division, Washington, DC

Contact Person: Tom Bradshaw, National Endowment for the Arts (bradshwt@arts.gov)

Depositor: National Endowment for the Arts, August 15, 2008

Series
American Community Survey [United States]: Public Use Microdata Sample: Artist Extract Files
The Research Division of the National Endowment for the Arts has prepared the Artist Extract from the American Community Survey Public Use Microdata Samples (PUMS). The extracts are intended to reduce the file size and make it easier to conduct research on artist occupations using American Community Survey. It also makes it possible to identify the 11 artist occupations featured in the NEA's publication, Artists in the Workforce: 1990-2005

Version Statement: First CPANDA Version, Cultural Policy and the Arts National Data Archive

APA Citation: U.S. Census Bureau and the National Endowment for the Arts. AMERICAN COMMUNITY SURVEY, 2004-2006 [UNITED STATES]: PUBLIC USE MICRODATA SAMPLE: ARTIST EXTRACT FILE [MRDF]. Washington, DC: U.S. Census Bureau [producer]. Washington, DC: National Endowment for the Arts, Research Division [producer]. Princeton, NJ: Cultural Policy and the Arts National Data Archive [distributor].

Keywords

CPANDA

  • Artists/performers
  • Artists' employment and work related needs
  • Artists' workspaces
  • Employment and unemployment
  • Economics of arts and culture
  • Salaries, income, and expenses of artists/cultural workers

ICPSR

  • Artists
  • Census data

Library of Congress Subject Headings

  • Artists. United States. Statistics.

Abstract (CPANDA): American Community Survey, 2004-2006 [United States]: Public Use Microdata Sample: Artist Extract File was prepared by the National Endowment for the Arts (NEA) from data collected by the Census Bureau. NEA extracted public use microdata samples (PUMS) relevant to research about artist occupations into Artist Extract Files to reduce file size and reduce time and costs for researchers interested in analyzing these data. The data include information on artists' demographics, place of residence, family, housing, work, income, and military experience.

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Study Description-- Study Scope

Time Period Covered: 2004 - 2006

Date of Collection: 2004 - 2006

Country: United States

Geographic Coverage: United States

Geographic Unit: nation

Unit of Analysis: individuals

Universe: All persons in households in the United States with one or more persons having a detailed occupation code considered "artist" by the NEA.

Kind of Data: census data

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Study Description -- Methodology

Data Collector: U.S. Census Bureau

Sampling Procedure:The sample consists of persons in housing unit and group quarters. Independent housing unit address samples are selected for each of the 3,141 counties and county equivalents in the United States, including the District of Columbia. The first full-implementation county-level samples of housing unit addresses were selected in 2004 and fielded in 2005. Each year, approximately 3 million housing unit addresses in the United States and 36,000 housing unit addresses in Puerto Rico are selected. The first full-implementation samples of group quarter facilities and persons were selected independently within each state, as well as the District of Columbia, and Puerot Rico, for use in 2006. Each year, approximately 2.5 percent of the expected number of residents in group quarter facilities are included in the American Community Survey.

Mode of Data Collection: Mail, telephone, and personal visit

Type of Research Instrument: structured

Actions to Minimize Losses: The first phase includes a questionnaire mailed to the sample address, with a request to the household to complete the questionnaire and return it by mail. If no response is received, the Census Bureau follows up with computer-assisted telephone interviewing (CATI) when a telephone number is available. If the Census Bureau is unable to reach an occupand using CATI, or if the household refused to particiapte, the address may be selected for computer-assisted personal interviewing (CAPI).

Methodology (CPANDA) : The sample was selected using housing unit and group quarter address list. Those who were selected were contacted via mail, telephone, and personal visit to raise response rate. Missing and incomplete responses were imputed. Weights were computed to increase the precision of the estimates as well as correct for differential coverage by geography and demographic detail.

Notes:
Possible sources of error in the data include: coverage error (failure to include some units into the sample), nonresponse error (failure to collect data from all units in the sample), measurement error (inaccuracy in recorded responses), and processing error(erros introduced after data are collected).

Notes:
Missing or inconsisten data are imputed. Detailed explanation can be found in U.S. Census Bureau, ACS Design and Methodology Report, Chapter 10. Data Preparation and Processing for Housing Units and Group Quarters. http://www.census.gov/acs/www/Downloads/dm1_ch10.pdf

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Study Description -- Data Access

Location: Cultural Policy and the Arts National Data Archive

Extent of Collection: 1 datafile and machine-readable documentation

Contact Person: Tom Bradshaw, National Endowment for the Arts (bradshwt@arts.gov)

Citation Requirement: Users of CPANDA data collections are requested to acknowledge these sources by means of bibliographic citations in the footnotes, endnotes or reference apparatus of publications.

Deposit Requirement: Users of CPANDA data collections are requested to forward citations or copies of publications resulting from analysis of CPANDA data collections to the archive.

Access Conditions (CPANDA): For detailed information about conditions for use of CPANDA data collections, please see the End User Agreement posted on the CPANDA web site.

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Related Materials

Related Publication

  • National Endowment for the Arts. 2008. Artists in the Workforce 1990-2005. (Research Report #48) Washington, DC. National Endowment for the Arts. View...

Related Material

  • U.S. Census Bureau. April 2009. Design and Methodology: American Community Survey. View...
  • 2003-2004 American Community Survey questionnaire View...
  • 2005-2006 American Community Survey questionnaire View...

Website

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Data Files Description

File Name: a00253

Overall Case Count: 48398

Overall Variable Count: 452

Logical Record Length: 1202

Records per Case: 1

Type of File: ASCII data file

Data Format: logical record length format

Place of File Production: Princeton, NJ: Cultural Policy and the Arts National Data Archive

Extent of Processing Checks

  • The archive produced a codebook for this collection.
  • Consistency checks were performed by the archive.
  • Frequencies were provided by the archive.
  • Data were reformatted by the archive.
  • Checks for undocumented codes were performed by the archive.

Software used in Production: SPSS

Version Statement: First CPANDA Edition, Cultural Policy and the Arts National Data Archive

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Variables

Variables can also be viewed by group:

  • CASEID
  • CPANDA defined case identification number

Column: 1  Width: 5  Type: numeric

  • SERIALNO
  • Serial number

Column: 6  Width: 7  Type: numeric

  • SPORDER
  • Person number

Column: 13  Width: 2  Type: numeric

  • RESMODE
  • Response mode

Response Categories
Category Label Frequency
 1 Mail 29471
 2 CATI/CAPI 10570

Column: 15  Width: 1  Type: numeric

  • DATAYEAR
  • Year of the data

Response Categories
Category Label Frequency
 3 2003 0
 4 2004 8357
 5 2005 20003
 6 2006 20038

Column: 16  Width: 1  Type: numeric

  • DECADE
  • Decade of entry

Response Categories
Category Label Frequency
 1 Before 1950 70
 2 1950 - 1959 199
 3 1960 - 1969 498
 4 1970 - 1979 800
 5 1980 - 1989 1152
 6 1990 - 1999 1407
 7 2000 - 2009 764

Column: 17  Width: 1  Type: numeric

  • YOEP
  • Year of entry for foreign born

Response Categories
Category Label Frequency
 1919 1919 or earlier 1
 1920 1920 0
 1921 1921 0
 1922 1922 1
 1923 1923 0
 1924 1924 0
 1925 1925 2
 1926 1926 0
 1927 1927 0
 1928 1928 3
 1929 1929 4
 1930 1930 0
 1931 1931 or 1932 1
 1933 1933 or 1934 2
 1934 1934 1
 1935 1935 1
 1936 1936 3
 1937 1937 1
 1938 1938 2
 1939 1939 2
 1940 1940 1
 1941 1941 6
 1942 1942 1
 1943 1943 3
 1944 1944 2
 1945 1945 5
 1946 1946 11
 1947 1947 8
 1948 1948 10
 1949 1949 14
 1950 1950 18
 1951 1951 13
 1952 1952 24
 1953 1953 20
 1954 1954 12
 1955 1955 29
 1956 1956 34
 1957 1957 38
 1958 1958 31
 1959 1959 38
 1960 1960 60
 1961 1961 51
 1962 1962 52
 1963 1963 46
 1964 1964 41
 1965 1965 56
 1966 1966 47
 1967 1967 68
 1968 1968 88
 1969 1969 98
 1970 1970 79
 1971 1971 80
 1972 1972 81
 1973 1973 79
 1974 1974 98
 1975 1975 110
 1976 1976 92
 1977 1977 90
 1978 1978 114
 1979 1979 146
 1980 1980 170
 1981 1981 126
 1982 1982 129
 1983 1983 121
 1984 1984 122
 1985 1985 149
 1986 1986 127
 1987 1987 124
 1988 1988 120
 1989 1989 191
 1990 1990 195
 1991 1991 139
 1992 1992 156
 1993 1993 127
 1994 1994 159
 1995 1995 174
 1996 1996 190
 1997 1997 168
 1998 1998 182
 1999 1999 181
 2000 2000 221
 2001 2001 186
 2002 2002 124
 2003 2003 132
 2004 2004 110
 2005 2005 68
 2006 2006 27

Column: 18  Width: 4  Type: numeric

  • PWGTP
  • PUMS person weight

Column: 22  Width: 4  Type: numeric

  • PWGTP1
  • Person Weight replicate 1

Column: 26  Width: 4  Type: numeric

  • PWGTP2
  • Person Weight replicate 2

Column: 30  Width: 4  Type: numeric

  • PWGTP3
  • Person Weight replicate 3

Column: 34  Width: 4  Type: numeric

  • PWGTP4
  • Person Weight replicate 4

Column: 38  Width: 4  Type: numeric

  • PWGTP5
  • Person Weight replicate 5

Column: 42  Width: 4  Type: numeric

  • PWGTP6
  • Person Weight replicate 6

Column: 46  Width: 4  Type: numeric

  • PWGTP7
  • Person Weight replicate 7

Column: 50  Width: 4  Type: numeric

  • PWGTP8
  • Person Weight replicate 8

Column: 54  Width: 4  Type: numeric

  • PWGTP9
  • Person Weight replicate 9

Column: 58  Width: 4  Type: numeric

  • PWGTP10
  • Person Weight replicate 10

Column: 62  Width: 4  Type: numeric

  • PWGTP11
  • Person Weight replicate 11

Column: 66  Width: 4  Type: numeric

  • PWGTP12
  • Person Weight replicate 12

Column: 70  Width: 4  Type: numeric

  • PWGTP13
  • Person Weight replicate 13

Column: 74  Width: 4  Type: numeric

  • PWGTP14
  • Person Weight replicate 14

Column: 78  Width: 4  Type: numeric

  • PWGTP15
  • Person Weight replicate 15

Column: 82  Width: 4  Type: numeric

  • PWGTP16
  • Person Weight replicate 16

Column: 86  Width: 4  Type: numeric

  • PWGTP17
  • Person Weight replicate 17

Column: 90  Width: 4  Type: numeric

  • PWGTP18
  • Person Weight replicate 18

Column: 94  Width: 4  Type: numeric

  • PWGTP19
  • Person Weight replicate 19

Column: 98  Width: 4  Type: numeric

  • PWGTP20
  • Person Weight replicate 20

Column: 102  Width: 4  Type: numeric

  • PWGTP21
  • Person Weight replicate 21

Column: 106  Width: 4  Type: numeric

  • PWGTP22
  • Person Weight replicate 22

Column: 110  Width: 4  Type: numeric

  • PWGTP23
  • Person Weight replicate 23

Column: 114  Width: 4  Type: numeric

  • PWGTP24
  • Person Weight replicate 24

Column: 118  Width: 4  Type: numeric

  • PWGTP25
  • Person Weight replicate 25

Column: 122  Width: 4  Type: numeric

  • PWGTP26
  • Person Weight replicate 26

Column: 126  Width: 4  Type: numeric

  • PWGTP27
  • Person Weight replicate 27

Column: 130  Width: 4  Type: numeric

  • PWGTP28
  • Person Weight replicate 28

Column: 134  Width: 4  Type: numeric

  • PWGTP29
  • Person Weight replicate 29

Column: 138  Width: 4  Type: numeric

  • PWGTP30
  • Person Weight replicate 30

Column: 142  Width: 4  Type: numeric

  • PWGTP31
  • Person Weight replicate 31

Column: 146  Width: 4  Type: numeric

  • PWGTP32
  • Person Weight replicate 32

Column: 150  Width: 4  Type: numeric

  • PWGTP33
  • Person Weight replicate 33

Column: 154  Width: 4  Type: numeric

  • PWGTP34
  • Person Weight replicate 34

Column: 158  Width: 4  Type: numeric

  • PWGTP35
  • Person Weight replicate 35

Column: 162  Width: 4  Type: numeric

  • PWGTP36
  • Person Weight replicate 36

Column: 166  Width: 4  Type: numeric

  • PWGTP37
  • Person Weight replicate 37

Column: 170  Width: 4  Type: numeric

  • PWGTP38
  • Person Weight replicate 38

Column: 174  Width: 4  Type: numeric

  • PWGTP39
  • Person Weight replicate 39

Column: 178  Width: 4  Type: numeric

  • PWGTP40
  • Person Weight replicate 40

Column: 182  Width: 4  Type: numeric

  • PWGTP41
  • Person Weight replicate 41

Column: 186  Width: 4  Type: numeric

  • PWGTP42
  • Person Weight replicate 42

Column: 190  Width: 4  Type: numeric

  • PWGTP43
  • Person Weight replicate 43

Column: 194  Width: 4  Type: numeric

  • PWGTP44
  • Person Weight replicate 44

Column: 198  Width: 4  Type: numeric

  • PWGTP45
  • Person Weight replicate 45

Column: 202  Width: 4  Type: numeric

  • PWGTP46
  • Person Weight replicate 46

Column: 206  Width: 4  Type: numeric

  • PWGTP47
  • Person Weight replicate 47

Column: 210  Width: 4  Type: numeric

  • PWGTP48
  • Person Weight replicate 48

Column: 214  Width: 4  Type: numeric

  • PWGTP49
  • Person Weight replicate 49

Column: 218  Width: 4  Type: numeric

  • PWGTP50
  • Person Weight replicate 50

Column: 222  Width: 4  Type: numeric

  • PWGTP51
  • Person Weight replicate 51

Column: 226  Width: 4  Type: numeric

  • PWGTP52
  • Person Weight replicate 52

Column: 230  Width: 4  Type: numeric

  • PWGTP53
  • Person Weight replicate 53

Column: 234  Width: 4  Type: numeric

  • PWGTP54
  • Person Weight replicate 54

Column: 238  Width: 4  Type: numeric

  • PWGTP55
  • Person Weight replicate 55

Column: 242  Width: 4  Type: numeric

  • PWGTP56
  • Person Weight replicate 56

Column: 246  Width: 4  Type: numeric

  • PWGTP57
  • Person Weight replicate 57

Column: 250  Width: 4  Type: numeric

  • PWGTP58
  • Person Weight replicate 58

Column: 254  Width: 4  Type: numeric

  • PWGTP59
  • Person Weight replicate 59

Column: 258  Width: 4  Type: numeric

  • PWGTP60
  • Person Weight replicate 60

Column: 262  Width: 4  Type: numeric

  • PWGTP61
  • Person Weight replicate 61

Column: 266  Width: 4  Type: numeric

  • PWGTP62
  • Person Weight replicate 62

Column: 270  Width: 4  Type: numeric

  • PWGTP63
  • Person Weight replicate 63

Column: 274  Width: 4  Type: numeric

  • PWGTP64
  • Person Weight replicate 64

Column: 278  Width: 4  Type: numeric

  • PWGTP65
  • Person Weight replicate 65

Column: 282  Width: 4  Type: numeric

  • PWGTP66
  • Person Weight replicate 66

Column: 286  Width: 4  Type: numeric

  • PWGTP67
  • Person Weight replicate 67

Column: 290  Width: 4  Type: numeric

  • PWGTP68
  • Person Weight replicate 68

Column: 294  Width: 4  Type: numeric

  • PWGTP69
  • Person Weight replicate 69

Column: 298  Width: 4  Type: numeric

  • PWGTP70
  • Person Weight replicate 70

Column: 302  Width: 4  Type: numeric

  • PWGTP71
  • Person Weight replicate 71

Column: 306  Width: 4  Type: numeric

  • PWGTP72
  • Person Weight replicate 72

Column: 310  Width: 4  Type: numeric

  • PWGTP73
  • Person Weight replicate 73

Column: 314  Width: 4  Type: numeric

  • PWGTP74
  • Person Weight replicate 74

Column: 318  Width: 4  Type: numeric

  • PWGTP75
  • Person Weight replicate 75

Column: 322  Width: 4  Type: numeric

  • PWGTP76
  • Person Weight replicate 76

Column: 326  Width: 4  Type: numeric

  • PWGTP77
  • Person Weight replicate 77

Column: 330  Width: 4  Type: numeric

  • PWGTP78
  • Person Weight replicate 78

Column: 334  Width: 4  Type: numeric

  • PWGTP79
  • Person Weight replicate 79

Column: 338  Width: 4  Type: numeric

  • PWGTP80
  • Person Weight replicate 80

Column: 342  Width: 4  Type: numeric

  • WGTP
  • Housing Weight

Column: 346  Width: 4  Type: numeric

  • WGTP1
  • Housing Weight replicate 1

Column: 350  Width: 4  Type: numeric

  • WGTP2
  • Housing Weight replicate 2

Column: 354  Width: 4  Type: numeric

  • WGTP3
  • Housing Weight replicate 3

Column: 358  Width: 4  Type: numeric

  • WGTP4
  • Housing Weight replicate 4

Column: 362  Width: 4  Type: numeric

  • WGTP5
  • Housing Weight replicate 5

Column: 366  Width: 4  Type: numeric

  • WGTP6
  • Housing Weight replicate 6

Column: 370  Width: 4  Type: numeric

  • WGTP7
  • Housing Weight replicate 7

Column: 374  Width: 4  Type: numeric

  • WGTP8
  • Housing Weight replicate 8

Column: 378  Width: 4  Type: numeric

  • WGTP9
  • Housing Weight replicate 9

Column: 382  Width: 4  Type: numeric

  • WGTP10
  • Housing Weight replicate 10

Column: 386  Width: 4  Type: numeric

  • WGTP11
  • Housing Weight replicate 11

Column: 390  Width: 4  Type: numeric

  • WGTP12
  • Housing Weight replicate 12

Column: 394  Width: 4  Type: numeric

  • WGTP13
  • Housing Weight replicate 13

Column: 398  Width: 4  Type: numeric

  • WGTP14
  • Housing Weight replicate 14

Column: 402  Width: 4  Type: numeric

  • WGTP15
  • Housing Weight replicate 15

Column: 406  Width: 4  Type: numeric

  • WGTP16
  • Housing Weight replicate 16

Column: 410  Width: 4  Type: numeric

  • WGTP17
  • Housing Weight replicate 17

Column: 414  Width: 4  Type: numeric

  • WGTP18
  • Housing Weight replicate 18

Column: 418  Width: 4  Type: numeric

  • WGTP19
  • Housing Weight replicate 19

Column: 422  Width: 4  Type: numeric

  • WGTP20
  • Housing Weight replicate 20

Column: 426  Width: 4  Type: numeric

  • WGTP21
  • Housing Weight replicate 21

Column: 430  Width: 4  Type: numeric

  • WGTP22
  • Housing Weight replicate 22

Column: 434  Width: 4  Type: numeric

  • WGTP23
  • Housing Weight replicate 23

Column: 438  Width: 4  Type: numeric

  • WGTP24
  • Housing Weight replicate 24

Column: 442  Width: 4  Type: numeric

  • WGTP25
  • Housing Weight replicate 25

Column: 446  Width: 4  Type: numeric

  • WGTP26
  • Housing Weight replicate 26

Column: 450  Width: 4  Type: numeric

  • WGTP27
  • Housing Weight replicate 27

Column: 454  Width: 4  Type: numeric

  • WGTP28
  • Housing Weight replicate 28

Column: 458  Width: 4  Type: numeric

  • WGTP29
  • Housing Weight replicate 29

Column: 462  Width: 4  Type: numeric

  • WGTP30
  • Housing Weight replicate 30

Column: 466  Width: 4  Type: numeric

  • WGTP31
  • Housing Weight replicate 31

Column: 470  Width: 4  Type: numeric

  • WGTP32
  • Housing Weight replicate 32

Column: 474  Width: 4  Type: numeric

  • WGTP33
  • Housing Weight replicate 33

Column: 478  Width: 4  Type: numeric

  • WGTP34
  • Housing Weight replicate 34

Column: 482  Width: 4  Type: numeric

  • WGTP35
  • Housing Weight replicate 35

Column: 486  Width: 4  Type: numeric

  • WGTP36
  • Housing Weight replicate 36

Column: 490  Width: 4  Type: numeric

  • WGTP37
  • Housing Weight replicate 37

Column: 494  Width: 4  Type: numeric

  • WGTP38
  • Housing Weight replicate 38

Column: 498  Width: 4  Type: numeric

  • WGTP39
  • Housing Weight replicate 39

Column: 502  Width: 4  Type: numeric

  • WGTP40
  • Housing Weight replicate 40

Column: 506  Width: 4  Type: numeric

  • WGTP41
  • Housing Weight replicate 41

Column: 510  Width: 4  Type: numeric

  • WGTP42
  • Housing Weight replicate 42

Column: 514  Width: 4  Type: numeric

  • WGTP43
  • Housing Weight replicate 43

Column: 518  Width: 4  Type: numeric

  • WGTP44
  • Housing Weight replicate 44

Column: 522  Width: 4  Type: numeric

  • WGTP45
  • Housing Weight replicate 45

Column: 526  Width: 4  Type: numeric

  • WGTP46
  • Housing Weight replicate 46

Column: 530  Width: 4  Type: numeric

  • WGTP47
  • Housing Weight replicate 47

Column: 534  Width: 4  Type: numeric

  • WGTP48
  • Housing Weight replicate 48

Column: 538  Width: 4  Type: numeric

  • WGTP49
  • Housing Weight replicate 49

Column: 542  Width: 4  Type: numeric

  • WGTP50
  • Housing Weight replicate 50

Column: 546  Width: 4  Type: numeric

  • WGTP51
  • Housing Weight replicate 51

Column: 550  Width: 4  Type: numeric

  • WGTP52
  • Housing Weight replicate 52

Column: 554  Width: 4  Type: numeric

  • WGTP53
  • Housing Weight replicate 53

Column: 558  Width: 4  Type: numeric

  • WGTP54
  • Housing Weight replicate 54

Column: 562  Width: 4  Type: numeric

  • WGTP55
  • Housing Weight replicate 55

Column: 566  Width: 4  Type: numeric

  • WGTP56
  • Housing Weight replicate 56

Column: 570  Width: 4  Type: numeric

  • WGTP57
  • Housing Weight replicate 57

Column: 574  Width: 4  Type: numeric

  • WGTP58
  • Housing Weight replicate 58

Column: 578  Width: 4  Type: numeric

  • WGTP59
  • Housing Weight replicate 59

Column: 582  Width: 4  Type: numeric

  • WGTP60
  • Housing Weight replicate 60

Column: 586  Width: 4  Type: numeric

  • WGTP61
  • Housing Weight replicate 61

Column: 590  Width: 4  Type: numeric

  • WGTP62
  • Housing Weight replicate 62

Column: 594  Width: 4  Type: numeric

  • WGTP63
  • Housing Weight replicate 63

Column: 598  Width: 4  Type: numeric

  • WGTP64
  • Housing Weight replicate 64

Column: 602  Width: 4  Type: numeric

  • WGTP65
  • Housing Weight replicate 65

Column: 606  Width: 4  Type: numeric

  • WGTP66
  • Housing Weight replicate 66

Column: 610  Width: 4  Type: numeric

  • WGTP67
  • Housing Weight replicate 67

Column: 614  Width: 4  Type: numeric

  • WGTP68
  • Housing Weight replicate 68

Column: 618  Width: 4  Type: numeric

  • WGTP69
  • Housing Weight replicate 69

Column: 622  Width: 4  Type: numeric

  • WGTP70
  • Housing Weight replicate 70

Column: 626  Width: 4  Type: numeric

  • WGTP71
  • Housing Weight replicate 71

Column: 630  Width: 4  Type: numeric

  • WGTP72
  • Housing Weight replicate 72

Column: 634  Width: 4  Type: numeric

  • WGTP73
  • Housing Weight replicate 73

Column: 638  Width: 4  Type: numeric

  • WGTP74
  • Housing Weight replicate 74

Column: 642  Width: 4  Type: numeric

  • WGTP75
  • Housing Weight replicate 75

Column: 646  Width: 4  Type: numeric

  • WGTP76
  • Housing Weight replicate 76

Column: 650  Width: 4  Type: numeric

  • WGTP77
  • Housing Weight replicate 77

Column: 654  Width: 4  Type: numeric

  • WGTP78
  • Housing Weight replicate 78

Column: 658  Width: 4  Type: numeric

  • WGTP79
  • Housing Weight replicate 79

Column: 662  Width: 4  Type: numeric

  • WGTP80
  • Housing Weight replicate 80

Column: 666  Width: 4  Type: numeric

  • YWEIGHT
  • Adjusted weight for this three year file

Column: 670  Width: 6  Type: numeric

  • PUMA
  • Puma Code

Column: 676  Width: 5  Type: numeric

  • ST
  • State of current residence

Response Categories
Category Label Frequency
 1 Alabama 380
 10 Delaware 95
 11 District of Columbia 219
 12 Florida 2589
 13 Georgia 1115
 15 Hawaii 192
 16 Idaho 134
 17 Illinois 1632
 18 Indiana 590
 19 Iowa 287
 2 Alaska 60
 20 Kansas 277
 21 Kentucky 362
 22 Louisiana 375
 23 Maine 170
 24 Maryland 967
 25 Massachusetts 1120
 26 Michigan 1189
 27 Minnesota 649
 28 Mississippi 200
 29 Missouri 673
 30 Montana 106
 31 Nebraska 161
 32 Nevada 369
 33 New Hampshire 165
 34 New Jersey 1335
 35 New Mexico 214
 36 New York 3782
 37 North Carolina 1023
 38 North Dakota 44
 39 Ohio 1163
 4 Arizona 772
 40 Oklahoma 282
 41 Oregon 605
 42 Pennsylvania 1322
 44 Rhode Island 168
 45 South Carolina 443
 46 South Dakota 67
 47 Tennessee 689
 48 Texas 2365
 49 Utah 312
 5 Arkansas 177
 50 Vermont 114
 51 Virginia 1086
 53 Washington 942
 54 West Virginia 121
 55 Wisconsin 642
 56 Wyoming 40
 6 California 6868
 72 Puerto Rico 0
 8 Colorado 777
 9 Connecticut 612

Column: 681  Width: 2  Type: numeric

  • ADJUST
  • PUMS adjustment factor

Column: 683  Width: 7  Type: numeric

  • DIVISION
  • Division code

Response Categories
Category Label Frequency
 1 New England (Northeast region) 2974
 2 Middle Atlantic (Northeast region) 7736
 3 East North Central (Midwest region) 6304
 4 West North Central (Midwest region) 2836
 5 South Atlantic (South region) 9110
 6 East South Central (South region) 2010
 7 West South Central (South Region) 3753
 8 Mountain (West region) 3358
 9 Pacific (West region) 10317

Column: 690  Width: 1  Type: numeric

  • REGION1
  • Recoded region

Column: 691  Width: 1  Type: numeric

  • REGION2
  • Recoded region

Column: 692  Width: 1  Type: numeric

  • REGION
  • Combined standard multi-state region code

Response Categories
Category Label Frequency
 0 Northeast 10710
 1 Midwest 9140
 2 South 14873
 3 West 13578

Column: 693  Width: 1  Type: numeric

  • STATE
  • State code consistent for three years

Response Categories
Category Label Frequency
 1 Alabama 453
 10 Delaware 157
 11 District of Columbia 358
 12 Florida 3002
 13 Georgia 1302
 15 Hawaii 279
 16 Idaho 184
 17 Illinois 1942
 18 Indiana 718
 19 Iowa 366
 2 Alaska 120
 20 Kansas 389
 21 Kentucky 468
 22 Louisiana 461
 23 Maine 238
 24 Maryland 1136
 25 Massachusetts 1339
 26 Michigan 1429
 27 Minnesota 812
 28 Mississippi 274
 29 Missouri 816
 30 Montana 156
 31 Nebraska 221
 32 Nevada 432
 33 New Hampshire 238
 34 New Jersey 1596
 35 New Mexico 280
 36 New York 4560
 37 North Carolina 1181
 38 North Dakota 80
 39 Ohio 1430
 4 Arizona 879
 40 Oklahoma 332
 41 Oregon 707
 42 Pennsylvania 1580
 44 Rhode Island 234
 45 South Carolina 519
 46 South Dakota 152
 47 Tennessee 815
 48 Texas 2750
 49 Utah 399
 5 Arkansas 210
 50 Vermont 197
 51 Virginia 1280
 53 Washington 1126
 54 West Virginia 175
 55 Wisconsin 785
 56 Wyoming 97
 6 California 8085
 72 Puerto Rico 0
 8 Colorado 931
 9 Connecticut 728

Column: 694  Width: 2  Type: numeric

  • AGEP
  • PUMS Age

Column: 696  Width: 2  Type: numeric

  • CIT
  • Citizenship

Response Categories
Category Label Frequency
 1 Born in the US (different meaning if current Puerto Rico res 42562
 2 Born in Puerto Rico, Guam, the US Virgin Islands, or the Nor 108
 3 Born abroad to American parents 549
 4 US citizen by naturalization 2567
 5 Not a citizen of the US 2612

Column: 698  Width: 1  Type: numeric

  • DDRS
  • Difficulty dressing

Response Categories
Category Label Frequency
 1 Yes 294
 2 No 48104

Column: 699  Width: 1  Type: numeric

  • DEYE
  • Vision or hearing difficulty

Response Categories
Category Label Frequency
 1 Yes 815
 2 No 47583

Column: 700  Width: 1  Type: numeric

  • DOUT
  • Difficulty going out

Response Categories
Category Label Frequency
 1 Yes 402
 2 No 47996

Column: 701  Width: 1  Type: numeric

  • DPHY
  • Physical difficulty

Response Categories
Category Label Frequency
 1 Yes 1616
 2 No 46782

Column: 702  Width: 1  Type: numeric

  • DREM
  • Difficulty remembering

Response Categories
Category Label Frequency
 1 Yes 805
 2 No 47593

Column: 703  Width: 1  Type: numeric

  • ENG
  • Ability to speak English

Response Categories
Category Label Frequency
 1 Very well 4552
 2 Well 1150
 3 Not well 546
 4 Not at all 114

Column: 704  Width: 1  Type: numeric

  • LANX
  • Speaks another language at home

Response Categories
Category Label Frequency
 1 Yes, speaks another language 6362
 2 No, speaks only English 42036

Column: 705  Width: 1  Type: numeric

  • FER
  • Child born within the past 12 months

Response Categories
Category Label Frequency
 1 Yes 683
 2 No 15749

Column: 706  Width: 1  Type: numeric

  • MAR
  • Marital status

Response Categories
Category Label Frequency
 1 Married 28312
 2 Widowed 812
 3 Divorced 5085
 4 Separated 664
 5 Never married or under 15 years old 13525

Column: 707  Width: 1  Type: numeric

  • MIG
  • Mobility status-lived here 1 year ago

Response Categories
Category Label Frequency
 1 Yes, same house (nonmovers) 41135
 2 No, outside US if current residence is US; No, outside PR an 204
 3 No, different house in US if current res. Different house in 7059

Column: 708  Width: 1  Type: numeric

  • SCH
  • School enrollment

Response Categories
Category Label Frequency
 1 No, has not attended in the last 3 months 44701
 2 Yes, public school or public college 2682
 3 Yes, private school or private college 1015

Column: 709  Width: 1  Type: numeric

  • SCHG
  • Grade level attending

Response Categories
Category Label Frequency
 1 Nursery school/preschool 0
 2 Kindergarten 0
 3 Grade 1 to grade 4 0
 4 Grade 5 to grade 8 8
 5 Grade 9 to grade 12 452
 6 College undergraduate 2347
 7 Graduate or professional school 890

Column: 710  Width: 1  Type: numeric

  • SCHL
  • Educational attainment

Response Categories
Category Label Frequency
 1 No school completed 62
 10 Some college, but less than 1 year 2092
 11 One or more years of college, no degree 7090
 12 Associates degree 4583
 13 Bachelors degree 19868
 14 Masters degree 6102
 15 Professional school degree 886
 16 Doctorate degree 620
 2 Nursery school to grade 4 50
 3 Grade 5 or grade 6 94
 4 Grade 7 or grade 8 127
 5 Grade 9 163
 6 Grade 10 331
 7 Grade 11 418
 8 Grade 12 no diploma 321
 9 High school graduate 5591

Column: 711  Width: 2  Type: numeric

  • SEX
  • Sex

Response Categories
Category Label Frequency
 1 Male 25323
 2 Female 23075

Column: 713  Width: 1  Type: numeric

  • ANC
  • Ancestry categorization

Response Categories
Category Label Frequency
 1 Single 27187
 2 Multiple 18077
 3 Unclassified 535
 4 Not reported 2599

Column: 714  Width: 1  Type: numeric

  • ANC1P
  • First ancestry 5% code

Response Categories
Category Label Frequency
 1 Alsatian 6
 100 Albanian 11
 102 Belorussian 8
 103 Bulgarian 32
 109 Croatian 55
 11 British 430
 111 Czech 198
 112 Bohemian 43
 114 Czechoslovakian 64
 115 Estonian 13
 12 British Isles 31
 122 German Russian 3
 124 Rom 1
 125 Hungarian 281
 128 Latvian 29
 129 Lithuanian 124
 130 Macedonian 6
 142 Polish 1470
 144 Romanian 93
 148 Russian 1027
 152 Serbian 34
 153 Slovak 110
 154 Slovene 24
 170 Georgia CIS 3
 171 Ukrainian 164
 176 Yugoslavian 34
 177 Herzegovinian 11
 178 Slavic 21
 179 Slavonian 0
 181 unknown 1
 183 Northern European 119
 187 Western European 75
 190 Eastern European 236
 195 European 798
 20 Danish 253
 200 Spaniard 51
 21 Dutch 582
 210 Mexican 1005
 211 Mexican American 170
 212 Mexicano 19
 213 Chicano 2
 215 Mexican American Indian 6
 218 Mexican State 15
 22 English 4950
 221 Costa Rican 8
 222 Guatemalan 35
 223 Honduran 24
 224 Nicaraguan 23
 225 Panamanian 14
 226 Salvadoran 55
 227 Central American 2
 231 Argentinean 33
 232 Bolivian 7
 233 Chilean 20
 234 Colombian 131
 235 Ecuadorian 40
 236 Paraguayan 1
 237 Peruvian 52
 238 Uruguayan 6
 239 Venezuelan 41
 24 Finnish 131
 249 South American 9
 250 Latin American 4
 251 Latin 9
 252 Latino 17
 26 French 1193
 261 Puerto Rican 207
 271 Cuban 201
 275 Dominican 75
 290 Hispanic 224
 291 Spanish 289
 295 Spanish American 18
 3 Austrian 179
 300 Bahamian 2
 301 Barbadian 7
 302 Belizean 8
 308 Jamaican 70
 310 Dutch West Indian 4
 314 Trinidadian Tobagonian 18
 32 German 7170
 322 British West Indian 1
 325 Antigua and Barbuda 2
 329 Grenadian 2
 330 Vincent-Grenadine Islander 1
 331 St Lucia Islander 1
 335 West Indian 24
 336 Haitian 31
 359 Other West Indian 3
 360 Brazilian 42
 370 Guyanese 7
 40 Prussian 11
 400 Algerian 1
 402 Egyptian 28
 406 Moroccan 6
 416 Iranian 82
 417 Iraqi 4
 419 Israeli 42
 421 Jordanian 5
 425 Lebanese 87
 429 Syrian 19
 431 Armenian 101
 434 Turkish 32
 435 Yemeni 1
 442 Kurdish 1
 46 Greek 282
 465 Palestinian 10
 483 Assyrian 8
 484 Chaldean 2
 49 Icelander 11
 490 Mideast 12
 495 Arab 15
 496 Arabic 12
 499 Other Arab 1
 5 Basque 16
 50 Irish 4316
 508 Cameroon 0
 51 Italian 3006
 510 Cape Verdean 2
 522 Ethiopian 12
 523 Eritrean 0
 529 Ghanian 7
 534 Kenyan 2
 541 Liberian 0
 553 Nigerian 18
 564 Senegalese 0
 566 Sierra Leonean 1
 568 Somalian 1
 570 South African 14
 576 Sudanese 0
 587 Other Subsaharan African 5
 598 Western African 0
 599 African 98
 600 Afghan 9
 603 Bangladeshi 8
 609 Nepali 1
 615 Asian Indian 233
 618 Bengali 4
 620 East Indian 9
 650 Punjab 0
 68 Sicilian 29
 680 Pakistani 24
 690 Sri Lankan 4
 7 unknown 1
 700 Burmese 5
 703 Cambodian 16
 706 Chinese 613
 707 Cantonese 3
 712 Mongolian 5
 720 Filipino 352
 730 Indonesian 13
 740 Japanese 343
 748 Okinawan 6
 750 Korean 349
 765 Laotian 10
 768 Hmong 5
 77 Luxemburger 5
 770 Malaysian 7
 776 Thai 53
 78 Maltese 6
 782 Taiwanese 84
 785 Vietnamese 116
 793 Eurasian 5
 794 Amerasian 0
 795 Asian 71
 799 Other Asian 6
 8 Belgian 67
 800 Austrailian 26
 803 New Zealander 5
 808 Polynesian 1
 811 Hawaiian 43
 814 Samoan 5
 815 Tongan 3
 82 Norwegian 791
 820 Micronesian 0
 821 Guamanian 2
 822 Chamorro Islander 2
 84 Portuguese 142
 841 Fijian 3
 850 Pacific Islander 11
 87 Scotch Irish 1120
 88 Scottish 1260
 89 Swedish 773
 899 Other Pacific 0
 9 Flemish 2
 900 Afro American 52
 901 Afro 2
 902 African American 1358
 903 Black 131
 904 Negro 0
 907 Creole 3
 91 Swiss 190
 913 Central American Indian 2
 914 South American Indian 1
 917 Native American 209
 918 Indian 102
 919 Cherokee 69
 920 American Indian 354
 921 Aleut 3
 922 Eskimo 2
 924 White 1027
 925 Anglo 164
 927 Appalachian 3
 929 Pennsylvania German 23
 931 Canadian 109
 935 French Canadian 357
 936 Acadian 3
 937 Cajun 9
 939 American or United States 2209
 97 Welsh 358
 98 Scandinavian 131
 983 Texas 3
 99 Celtic 28
 994 North American 5
 995 Mixture 140
 996 Uncodable entries 443
 997 Other groups 23
 998 Other responses 315
 999 Not reported 2599

Column: 715  Width: 3  Type: numeric

  • ANC2P
  • Second ancestry 5% code

Response Categories
Category Label Frequency
 1 Alsatian 6
 100 Albanian 6
 102 Belorussian 1
 103 Bulgarian 3
 109 Croatian 43
 11 British 137
 111 Czech 125
 112 Bohemian 49
 114 Czechoslovakian 30
 115 Estonian 0
 12 British Isles 4
 122 German Russian 2
 124 Rom 1
 125 Hungarian 208
 128 Latvian 12
 129 Lithuanian 121
 130 Macedonian 3
 142 Polish 817
 144 Romanian 76
 148 Russian 365
 152 Serbian 8
 153 Slovak 70
 154 Slovene 20
 170 Georgia CIS 1
 171 Ukrainian 77
 176 Yugoslavian 17
 177 Herzegovinian 0
 178 Slavic 13
 179 Slavonian 1
 183 Northern European 4
 187 Western European 0
 190 Eastern European 2
 195 European 30
 20 Danish 180
 200 Spaniard 15
 21 Dutch 484
 210 Mexican 59
 211 Mexican American 7
 212 Mexicano 0
 213 Chicano 0
 215 Mexican American Indian 1
 218 Mexican State 0
 22 English 2628
 221 Costa Rican 3
 222 Guatemalan 3
 223 Honduran 1
 224 Nicaraguan 2
 225 Panamanian 2
 226 Salvadoran 3
 227 Central American 2
 231 Argentinean 4
 232 Bolivian 0
 233 Chilean 3
 234 Colombian 10
 235 Ecuadorian 5
 236 Paraguayan 0
 237 Peruvian 7
 238 Uruguayan 1
 239 Venezuelan 4
 24 Finnish 61
 249 South American 0
 250 Latin American 0
 251 Latin 3
 252 Latino 1
 26 French 1008
 261 Puerto Rican 34
 271 Cuban 16
 275 Dominican 5
 290 Hispanic 15
 291 Spanish 112
 295 Spanish American 1
 3 Austrian 137
 300 Bahamian 1
 301 Barbadian 2
 302 Belizean 0
 308 Jamaican 9
 310 Dutch West Indian 3
 314 Trinidadian Tobagonian 0
 32 German 3523
 322 British West Indian 0
 325 Antigua and Barbuda 0
 329 Grenadian 0
 330 Vincent-Grenadine Islander 0
 331 St Lucia Islander 0
 335 West Indian 10
 336 Haitian 2
 359 Other West Indian 0
 360 Brazilian 9
 370 Guyanese 4
 40 Prussian 5
 400 Algerian 0
 402 Egyptian 1
 406 Moroccan 3
 416 Iranian 5
 417 Iraqi 1
 419 Israeli 4
 421 Jordanian 1
 425 Lebanese 38
 429 Syrian 13
 431 Armenian 13
 434 Turkish 13
 435 Yemeni 1
 442 Kurdish 0
 46 Greek 77
 465 Palestinian 2
 483 Assyrian 2
 484 Chaldean 0
 49 Icelander 6
 490 Mideast 0
 495 Arab 2
 496 Arabic 2
 499 Other Arab 2
 5 Basque 3
 50 Irish 2652
 508 Cameroon 0
 51 Italian 707
 510 Cape Verdean 1
 522 Ethiopian 3
 523 Eritrean 0
 529 Ghanian 0
 534 Kenyan 0
 541 Liberian 0
 553 Nigerian 1
 564 Senegalese 0
 566 Sierra Leonean 1
 568 Somalian 2
 570 South African 5
 576 Sudanese 0
 587 Other Subsaharan African 1
 598 Western African 0
 599 African 12
 600 Afghan 0
 603 Bangladeshi 0
 609 Nepali 1
 615 Asian Indian 5
 618 Bengali 0
 620 East Indian 1
 650 Punjab 0
 68 Sicilian 8
 680 Pakistani 0
 690 Sri Lankan 0
 700 Burmese 0
 703 Cambodian 0
 706 Chinese 48
 707 Cantonese 0
 712 Mongolian 1
 720 Filipino 41
 730 Indonesian 5
 740 Japanese 31
 748 Okinawan 2
 750 Korean 8
 765 Laotian 0
 768 Hmong 0
 77 Luxemburger 5
 770 Malaysian 2
 776 Thai 1
 78 Maltese 4
 782 Taiwanese 5
 785 Vietnamese 6
 793 Eurasian 1
 794 Amerasian 1
 795 Asian 5
 799 Other Asian 0
 8 Belgian 44
 800 Austrailian 8
 803 New Zealander 1
 808 Polynesian 3
 811 Hawaiian 12
 814 Samoan 1
 815 Tongan 0
 82 Norwegian 367
 820 Micronesian 0
 821 Guamanian 1
 822 Chamorro Islander 0
 84 Portuguese 68
 841 Fijian 0
 850 Pacific Islander 1
 87 Scotch Irish 455
 88 Scottish 784
 89 Swedish 465
 899 Other Pacific 1
 9 Flemish 0
 900 Afro American 3
 901 Afro 0
 902 African American 29
 903 Black 1
 904 Negro 0
 907 Creole 0
 91 Swiss 118
 913 Central American Indian 2
 914 South American Indian 2
 917 Native American 187
 918 Indian 135
 919 Cherokee 79
 920 American Indian 268
 921 Aleut 0
 922 Eskimo 1
 924 White 0
 925 Anglo 0
 927 Appalachian 0
 929 Pennsylvania German 9
 931 Canadian 67
 935 French Canadian 149
 936 Acadian 1
 937 Cajun 5
 939 American or United States 0
 97 Welsh 369
 98 Scandinavian 39
 983 Texas 0
 99 Celtic 6
 994 North American 0
 995 Mixture 0
 996 Uncodable entries 0
 997 Other groups 4
 998 Other responses 0
 999 Not reported 30321

Column: 718  Width: 3  Type: numeric

  • DRIVESP
  • Number of vehicles calculated from JWRI

Response Categories
Category Label Frequency
 1 1.000 vehicles (Drove alone) 22867
 2 0.500 vehicles (In a 2-person carpool) 2386
 3 0.333 vehicles (In a 3-person carpool) 327
 4 0.250 vehicles (In a 4-person carpool) 106
 5 0.200 vehicles (In a 5- or 6-person carpool) 77
 6 0.143 vehicles (In a 7-or-more person carpool) - topcode 80

Column: 721  Width: 1  Type: numeric

  • DS
  • Disability Recode

Response Categories
Category Label Frequency
 1 With a disability 3011
 2 Without a disability 45387

Column: 722  Width: 1  Type: numeric

  • HISP
  • Detailed Hispanic origin

Response Categories
Category Label Frequency
 1 Not Spanish/Hispanic/Latino 45452
 10 Panamanian 16
 11 Salvadoran 57
 12 Other Central American 13
 13 Argentinean 52
 14 Bolivian 8
 15 Chilean 24
 16 Colombian 151
 17 Ecuadorian 44
 18 Paraguayan 2
 19 Peruvian 57
 2 Mexican 1386
 20 Uruguayan 7
 21 Venezuelan 46
 22 Other South American 18
 23 Spaniard 53
 24 All Other Spanish/Hispanic/Latino 311
 3 Puerto Rican 270
 4 Cuban 249
 5 Domincan 76
 6 Costa Rican 9
 7 Guatemalan 41
 8 Honduran 28
 9 Nicaraguan 28

Column: 723  Width: 2  Type: numeric

  • LANP
  • Language spoken at home

Response Categories
Category Label Frequency
 601 Jamaican Creole 3
 607 German 334
 608 Pennsylvania Dutch 3
 609 Yiddish 24
 610 Dutch 29
 611 Afrikaans 3
 614 Swedish 25
 615 Danish 12
 616 Norwegian 9
 619 Italian 190
 620 French 458
 622 Patois 6
 623 French Creole 22
 624 Cajun 6
 625 Spanish 2664
 629 Portuguese 91
 631 Romanian 35
 635 Irish Gaelic 5
 637 Greek 61
 638 Albanian 7
 639 Russian 177
 641 Ukrainian 23
 642 Czech 19
 645 Polish 98
 646 Slovak 9
 647 Bulgarian 23
 648 Macedonian 3
 649 Serbocroatian 19
 650 Croatian 16
 651 Serbian 10
 653 Lithuanian 13
 654 Lettish 7
 655 Armenian 42
 656 Persian 66
 657 Pashto 2
 658 Kurdish 2
 662 India NEC 4
 663 Hindi 70
 664 Bengali 10
 665 Panjabi 10
 666 Marathi 10
 667 Gujarathi 37
 671 Urdu 28
 674 Nepali 3
 676 Pakistan NEC 0
 677 Sinhalese 2
 679 Finnish 5
 682 Hungarian 24
 691 Turkish 23
 701 Telugu 13
 702 Kannada 6
 703 Malayalam 7
 704 Tamil 16
 708 Chinese 308
 711 Cantonese 79
 712 Mandarin 86
 714 Formosan 19
 717 Burmese 3
 720 Thai 44
 721 Miao-yao, Mien 1
 722 Hmong 6
 723 Japanese 155
 724 Korean 260
 725 Laotian 7
 726 Mon-Khmer, Cambodian 13
 728 Vietnamese 106
 732 Indonesian 18
 739 Malay 4
 742 Tagalog 169
 743 Bisayan 4
 744 Sebuano 2
 746 Ilocano 5
 752 Chamorro 1
 767 Samoan 3
 768 Tongan 3
 776 Hawaiian 5
 777 Arabic 84
 778 Hebrew 72
 779 Syriac 4
 780 Amharic 13
 783 Cushite 2
 791 Swahili 4
 792 Bantu 2
 793 Mande 1
 794 Fulani 3
 796 Kru, Ibo, Yoruba 22
 799 African 1
 806 Other Algonquian languages 4
 862 Apache 1
 864 Navaho 9
 907 Dakota 1
 924 Keres 4
 933 Cherokee 2
 964 Zuni 1
 966 American Indian 1
 985 Other Indo-European languages 13
 986 Other Asian languages 5
 988 Other Pacific Island languages 3
 989 Other specified African languages 3
 990 Aleut-Eskimo languages 1
 992 South/Central American Indian languages 0
 993 Other Specified North American Indian languages 12
 994 Other languages 9
 996 Uncodable 0

Column: 725  Width: 3  Type: numeric

  • MIGPUMA
  • Migration PUMA

Column: 728  Width: 4  Type: numeric

  • MIGSP
  • Migration state/foreign country recode 5%

Response Categories
Category Label Frequency
 1 Alabama/AL 69
 10 Delaware/DE 22
 109 France 4
 11 District of Columbia/DC 51
 110 Germany 17
 111 Northern Europe, Not Specified 3
 112 Western Europe, Not Specified 7
 113 Eastern Europe, Not Specified 6
 12 Florida/FL 465
 120 Italy 9
 128 Poland 0
 13 Georgia/GA 216
 132 unknown 1
 138 United Kingdom, Excluding England 7
 139 England 10
 15 Hawaii/HI 32
 16 Idaho/ID 35
 163 Russia 1
 164 Ukraine 0
 166 unknown 2
 168 Other Europe, Not Specified 7
 17 Illinois/IL 282
 18 Indiana/IN 101
 19 Iowa/IA 53
 2 Alaska/AK 16
 20 Kansas/KS 77
 207 China, Hong Kong & Paracel Islands 7
 21 Kentucky/KY 64
 210 India 8
 213 Iraq 6
 214 Israel 2
 215 Japan 5
 217 Korea 5
 22 Louisiana/LA 83
 23 Maine/ME 29
 233 Philippines 4
 24 Maryland/MD 133
 240 Taiwan 2
 242 Thailand 2
 247 Vietnam 0
 25 Massachusetts/MA 173
 250 unknown 1
 251 Eastern Asia, Not Specified 3
 252 Western Asia, Not Specified 2
 253 South Central Asia or Asia, Not Specified 2
 26 Michigan/MI 198
 27 Minnesota/MN 110
 28 Mississippi/MS 36
 29 Missouri/MO 116
 30 Montana/MT 19
 301 Canada 19
 303 Mexico 20
 31 Nebraska/NE 36
 312 El Salvador 0
 313 Guatemala 2
 314 Honduras 4
 317 Central America, Not Specified 3
 32 Nevada/NV 75
 327 Cuba 0
 329 Domincan Republic 1
 33 New Hampshire/NH 21
 333 Jamaica 0
 34 New Jersey/NJ 189
 344 Caribbean and North America, Not Specified 1
 35 New Mexico/NM 39
 36 New York/NY 660
 362 Brazil 7
 364 Colombia 1
 37 North Carolina/NC 180
 370 Peru 0
 374 South America, Not Specified 6
 38 North Dakota/ND 11
 39 Ohio/OH 217
 4 Arizona/AZ 122
 40 Oklahoma/OK 52
 41 Oregon/OR 105
 42 Pennsylvania/PA 204
 44 Rhode Island/RI 25
 45 South Carolina/SC 82
 46 South Dakota/SD 30
 462 Africa 1
 463 Eastern Africa, Not Specified 0
 464 Northern Africa, Not Specified 4
 467 Western Africa, Not Specified 0
 468 Other Africa, Not Specified 1
 47 Tennessee/TN 108
 48 Texas/TX 470
 49 Utah/UT 66
 5 Arkansas/AR 36
 50 Vermont/VT 19
 501 Australia 3
 51 Virginia/VA 198
 53 Washington/WA 171
 54 West Virginia/WV 19
 55 Wisconsin/WI 110
 554 Australian and New Zealand Subregions, Not Specified, Oceani 3
 56 Wyoming/WY 13
 6 California/CA 1175
 72 Puerto Rico 5
 8 Colorado/CO 156
 9 Connecticut/CT 90
 96 US Island Areas, Not Specified 0

Column: 732  Width: 3  Type: numeric

  • MSP
  • Married -- spouse present/ spouse absent

Response Categories
Category Label Frequency
 1 Now married, spouse present 27558
 2 Now married, spouse absent 754
 3 Widowed 812
 4 Divorced 5085
 5 Separated 664
 6 Never married 13525

Column: 735  Width: 1  Type: numeric

  • NATIVITY
  • Nativity

Response Categories
Category Label Frequency
 1 Native 35680
 2 Foreign born 4361

Column: 736  Width: 1  Type: numeric

  • POBP
  • Place of birth

Response Categories
Category Label Frequency
 1 Alabama/AL 515
 10 Delaware/DE 142
 100 Albania 3
 102 Austria 23
 103 Belgium 21
 104 Bulgaria 27
 105 Czechoslovakia 11
 106 Denmark 12
 108 Finland 12
 109 France 104
 11 District of Columbia/DC 441
 110 Germany 302
 116 Greece 23
 117 Hungary 23
 118 Iceland 6
 119 Ireland 26
 12 Florida/FL 1079
 120 Italy 93
 126 Netherlands 25
 127 Norway 8
 128 Poland 93
 129 Portugal 16
 13 Georgia/GA 747
 130 Azores Islands 1
 132 Romania 40
 134 Spain 31
 136 Sweden 31
 137 Switzerland 28
 138 United Kingdom, Not Specified 135
 139 England 237
 140 Scotland 24
 141 unknown 1
 142 Northern Ireland 5
 147 Yugoslavia 20
 148 Czech Republic 15
 149 Slovakia 6
 15 Hawaii/HI 223
 150 Bosnia and Herzegovina 14
 151 Croatia 8
 152 Macedonia 3
 154 unknown 2
 155 Estonia 3
 156 Latvia 10
 157 Lithuania 7
 158 Armenia 19
 159 Azerbaijan 0
 16 Idaho/ID 169
 160 Belarus 10
 161 Georgia 6
 162 Moldova 4
 163 Russia 93
 164 Ukraine 56
 165 USSR 11
 166 Europe, Not Specified 4
 168 Other Europe, Not Specified 1
 169 unknown 2
 17 Illinois/IL 2434
 18 Indiana/IN 989
 19 Iowa/IA 667
 2 Alaska/AK 101
 20 Kansas/KS 540
 200 Afghanistan 9
 202 Bangladesh 10
 205 Myanmar 6
 206 Cambodia 14
 207 China 193
 208 unknown 2
 209 Hong Kong 102
 21 Kentucky/KY 557
 210 India 191
 211 Indonesia 24
 212 Iran 83
 213 Iraq 17
 214 Israel 51
 215 Japan 181
 216 Jordan 8
 217 Korea 283
 218 Kazakhstan 3
 22 Louisiana/LA 600
 220 unknown 18
 222 Kuwait 1
 223 Laos 13
 224 Lebanon 22
 226 Malaysia 19
 229 Nepal 3
 23 Maine/ME 213
 231 Pakistan 27
 233 Philippines 228
 235 Saudi Arabia 3
 236 Singapore 11
 238 Sri Lanka 7
 239 Syria 5
 24 Maryland/MD 763
 240 Taiwan 139
 242 Thailand 47
 243 Turkey 33
 246 Uzbekistan 2
 247 Vietnam 130
 248 Yemen 1
 249 Asia 4
 25 Massachusetts/MA 1360
 250 unknown 2
 251 Eastern Asia, Not Specified 2
 252 unknown 1
 253 Other South Central Asia, Not Specified 2
 254 Other Asia, Not Specified 7
 26 Michigan/MI 1889
 27 Minnesota/MN 956
 28 Mississippi/MS 306
 29 Missouri/MO 972
 30 Montana/MT 163
 300 Bermuda 4
 301 Canada 346
 303 Mexico 543
 31 Nebraska/NE 342
 310 Belize 5
 311 Costa Rica 9
 312 El Salvador 54
 313 Guatemala 45
 314 Honduras 32
 315 Nicaragua 30
 316 Panama 24
 32 Nevada/NV 93
 321 Antigua & Barbuda 3
 323 Bahamas 4
 324 Barbados 3
 327 Cuba 150
 328 Dominica 3
 329 Dominican Republic 66
 33 New Hampshire/NH 175
 330 Grenada 3
 332 Haiti 20
 333 Jamaica 63
 338 St. Kitts-Nevis 0
 339 St. Lucia 2
 34 New Jersey/NJ 1634
 340 St. Vincent & the Grenadines 0
 341 Trinidad & Tobago 26
 343 West Indies 5
 344 Caribbean, Not Specified 3
 35 New Mexico/NM 206
 36 New York/NY 4492
 360 Argentina 63
 361 Bolivia 10
 362 Brazil 71
 363 Chile 27
 364 Colombia 129
 365 Ecuador 33
 368 Guyana 14
 369 Paraguay 2
 37 North Carolina/NC 848
 370 Peru 55
 372 Uruguay 7
 373 Venezuela 64
 374 South America 7
 38 North Dakota/ND 165
 39 Ohio/OH 2159
 399 Americas, Not Specified 1
 4 Arizona/AZ 365
 40 Oklahoma/OK 478
 400 Algeria 4
 407 Cameroon 0
 408 Cape Verde 0
 41 Oregon/OR 421
 414 Egypt 29
 416 Ethiopia 14
 417 Eritrea 3
 42 Pennsylvania/PA 2400
 421 Ghana 13
 423 Guinea 0
 427 Kenya 8
 429 Liberia 0
 430 unknown 1
 436 Morocco 14
 44 Rhode Island/RI 211
 440 Nigeria 20
 444 Senegal 1
 447 Sierra Leone 1
 448 Somalia 2
 449 South Africa 40
 45 South Carolina/SC 380
 451 Sudan 2
 453 Tanzania 1
 457 Uganda 2
 46 South Dakota/SD 183
 461 Zimbabwe 3
 462 Africa 6
 463 Eastern Africa, Not Specified 5
 464 Northern Africa, Not Specified 3
 467 Western Africa, Not Specified 1
 468 Other Africa, Not Specified 9
 47 Tennessee/TN 639
 48 Texas/TX 2155
 49 Utah/UT 338
 5 Arkansas/AR 253
 50 Vermont/VT 113
 500 unknown 5
 501 Australia 40
 508 Fiji 2
 51 Virginia/VA 820
 512 Micronesia 0
 515 New Zealand 12
 523 Tonga 1
 527 Samoa 0
 53 Washington/WA 744
 54 West Virginia/WV 266
 55 Wisconsin/WI 998
 554 Other US Island Areas, Oceania, Not Specified, or at Sea 1
 56 Wyoming/WY 94
 6 California/CA 4474
 60 American Samoa 3
 66 Guam 10
 72 Puerto Rico 89
 78 US Virgin Islands 6
 8 Colorado/CO 548
 9 Connecticut/CT 742

Column: 737  Width: 3  Type: numeric

  • POVPIP
  • Person poverty status

Column: 740  Width: 3  Type: numeric

  • QTRBIR
  • Quarter of birth

Response Categories
Category Label Frequency
 1 January through March 9863
 2 April through June 9881
 3 July through September 10302
 4 October through December 9995

Column: 743  Width: 1  Type: numeric

  • RAC1P
  • Race1 recode

Response Categories
Category Label Frequency
 1 White alone 42213
 2 Black or African American alone 1973
 3 American Indian alone 154
 4 Alaska Native alone 9
 5 American Indian & Alaska Native tribes specified;or American 46
 6 Asian alone 2241
 7 Native Hawaiian and Other Pacific Islander alone 45
 8 Some other race alone 1012
 9 Two or more major race groups 705

Column: 744  Width: 1  Type: numeric

  • RAC2P
  • Race2 recode

Response Categories
Category Label Frequency
 1 White alone 42213
 10 Colville alone 1
 11 Comanche alone 2
 12 Creek alone 4
 13 Crow alone 0
 14 Delaware alone 3
 15 Houma alone 0
 16 Iroquois alone 3
 17 Lumbee alone 5
 18 Menominee alone 2
 19 Navajo alone 12
 2 Black or African American alone 1973
 20 Paiute alone 1
 21 Pima alone 1
 22 Potawatomi alone 6
 23 Pueblo alone 9
 24 Puget Sound Salish alone 0
 25 Seminole alone 4
 26 Sioux alone 4
 27 Tohono OOdham alone 3
 28 Yakama alone 1
 29 Yaqui alone 2
 3 Apache alone 4
 30 Yuman alone 3
 31 Other specified American Indian tribes alone 26
 32 Combinations of American Indian tribes only 7
 33 American Indian or Alaska Native, tribe not specified, or Am 3
 34 Alaska Athabascan alone 2
 35 Aleut alone 3
 36 Eskimo alone 7
 37 Tlingit-Haida alone 40
 38 Alaska Native tribes alone or in combination with other Alas 0
 39 American Indian and Alaska Native, not specified 29
 4 Blackfeet alone 7
 40 Asian Indian alone 327
 41 Bangladeshi alone 16
 42 Cambodian alone 58
 43 Chinese alone 562
 44 Filipino alone 294
 45 Hmong alone 45
 46 Indonesian alone 63
 47 Japanese alone 250
 48 Korean alone 293
 49 Laotian alone 8
 5 Cherokee alone 32
 50 Malaysian alone 3
 51 Pakistani alone 23
 52 Sri Lankan alone 21
 53 Thai alone 42
 54 Vietnamese alone 134
 55 Other specified Asian alone 13
 56 Asian, not specified 28
 57 Combinations of Asian groups only 28
 58 Native Hawaiian alone 19
 59 Samoan alone 2
 6 Cheyenne alone 0
 60 Tongan alone 3
 61 Other Polynesian alone or in combination with other Polynesi 0
 62 Guamanian or Chamorro alone 9
 63 Other Micronesian alone or in combination with other Microne 0
 64 Melanesian alone or in combination with other Melanesian gro 150
 65 Other Native Haw &Pac Isl groups alone or in comb with other 109
 66 Some other race alone 863
 67 Two or more races 600
 7 Chickasaw alone 2
 8 Chippewa alone 10
 9 Choctaw alone 11

Column: 745  Width: 2  Type: numeric

  • RAC3P
  • Race3 recode

Response Categories
Category Label Frequency
 1 Some other race alone 1012
 10 Korean alone 311
 11 Japanese; Some other race 54
 12 Japanese; Native Hawaiian 42
 13 Japanese; Korean 0
 14 Japanese alone 249
 15 Filipino; Some other race 51
 16 Filipino; Native Hawaiian 2
 17 Filipino; Japanese 0
 18 Filipino alone 292
 19 Chinese; Some other race 3
 2 Other Pacific Islander alone 8
 20 Chinese; Native Hawaiian 106
 21 Chinese; Other Asian 4
 22 Chinese; Vietnamese 3
 23 Chinese; Japanese 9
 24 Chinese; Filipino; Native Hawaiian 3
 25 Chinese; Filipino 4
 26 Chinese alone 561
 27 Asian Indian; Some other race 1
 28 Asian Indian; Other Asian 39
 29 Asian Indian alone 237
 3 Samoan alone 2
 30 Asian groups and/or Native Hawaiian and Other Pacific Island 3
 31 Asian groups; Native Hawaiian and Other Pacific Islander gro 5
 32 Asian groups only 48
 33 American Indian and Alaska Native; Some other race 8
 34 American Indian and Alaska Native alone 167
 35 Amer Ind & Alaska Native race; Asian groups and/or Native Ha 3
 36 Black or African American; Some other race 8
 37 Black or African American; Other Asian 317
 38 Black or African American; Korean 4
 39 Black or African American; Japanese 2
 4 Guamanian or Chamorro alone 8
 40 Black or African American; Filipino 2
 41 Black or African American; Chinese 1
 42 Black or African American; Asian Indian 5
 43 Black or African American; American Indian and Alaska Native 24
 44 Black or African American alone 1658
 45 Black or African American race; Native Hawaiian and Other Pa 1
 46 Black or African Amer race; Asian groups and/or Native Hawai 5
 47 Black or African Amer race; Amer Ind & Alaska Native; Asian 7408
 48 White; Some other race 84
 49 White; Other Pacific Islander 0
 5 Native Hawaiian alone 19
 50 White; Samoan 1
 51 White; Guamanian or Chamorro 2
 52 White; Native Hawaiian 10
 53 White; Other Asian 26
 54 White; Vietnamese 10
 55 White; Korean 13
 56 White; Japanese; Native Hawaiian 2
 57 White; Japanese 46
 58 White; Filipino; Native Hawaiian 0
 59 White; Filipino 38
 6 Native Hawaiian and Other Pacific Islander groups only 6
 60 White; Chinese; Native Hawaiian 2
 61 White; Chinese; Filipino; Native Hawaiian 0
 62 White; Chinese 44
 63 White; Asian Indian 7
 64 White; American Indian and Alaska Native; Some other race 2
 65 White; American Indian and Alaska Native 169
 66 White; Black or African American; Some other race 33
 67 White; Black or African American; American Indian and Alaska 18
 68 White; Black or African American 65
 69 White alone 34807
 7 Other Asian; Some other race 3
 70 White race; two or more Asian groups 9
 71 White; Black or African Amer race &/or Amer Ind & Alaska Nat 54
 72 White; Some other race; Black or Afr Amer &/or Amer Ind & A 4
 8 Other Asian alone 122
 9 Vietnamese alone 132

Column: 747  Width: 2  Type: numeric

  • RACAIAN
  • Race includes AIAN

Response Categories
Category Label Frequency
 0 No 47912
 1 Yes 486

Column: 749  Width: 1  Type: numeric

  • RACASN
  • Race includes Asian

Response Categories
Category Label Frequency
 0 No 45893
 1 Yes 2505

Column: 750  Width: 1  Type: numeric

  • RACBLK
  • Race includes Black

Response Categories
Category Label Frequency
 0 No 46266
 1 Yes 2132

Column: 751  Width: 1  Type: numeric

  • RACNHPI
  • Race includes NHPI

Response Categories
Category Label Frequency
 0 No 48310
 1 Yes 88

Column: 752  Width: 1  Type: numeric

  • RACNUM
  • Number of race groups represented

Response Categories
Category Label Frequency
 1 1 Race group represented 47693
 2 2 Race groups represented 645
 3 3 Race groups represented 56
 4 4 Race groups represented 3
 5 5 Race groups represented 0
 6 6 Race groups represented 1

Column: 753  Width: 1  Type: numeric

  • RACSOR
  • Race includes Other race

Response Categories
Category Label Frequency
 0 No 47261
 1 Yes 1137

Column: 754  Width: 1  Type: numeric

  • RACWHT
  • Race includes White

Response Categories
Category Label Frequency
 0 No 5577
 1 Yes 42821

Column: 755  Width: 1  Type: numeric

  • AGE3
  • Age group

Response Categories
Category Label Frequency
 0 under 16 0
 1 16 through 25 5037
 2 26 through 45 22888
 3 46 through 65 17779
 4 66 and older 2694

Column: 756  Width: 1  Type: numeric

  • AGE4
  • Age group

Response Categories
Category Label Frequency
 0 under 16 0
 1 16 through 34 14814
 2 35 through 54 23578
 3 55 and older 10006

Column: 757  Width: 1  Type: numeric

  • HISPANIC
  • Combined multiple-Hispanic groups

Response Categories
Category Label Frequency
 0 NOT HISPANIC 45452
 1 HISPANIC 2946

Column: 758  Width: 1  Type: numeric

  • RACE
  • Race

Response Categories
Category Label Frequency
 0 WHITE 42213
 1 BLACK 1973
 2 OTHER 4212

Column: 759  Width: 1  Type: numeric

  • ETHNIC
  • Combined race and Hispanic origin

Response Categories
Category Label Frequency
 0 WHITE NOT HISPANIC 40425
 1 BLACK NOT HISPANIC 1930
 2 OTHER NOT HISPANIC 3097
 3 HISPANIC 2946

Column: 760  Width: 1  Type: numeric

  • MARITAL
  • Marital status recode

Response Categories
Category Label Frequency
 0 MARRIED 28312
 1 WIDOWED,DIVORCED, SEPARATED 6561
 2 NEVER MARRIED 13525

Column: 761  Width: 1  Type: numeric

  • ATTAIN
  • Educational attainment

Response Categories
Category Label Frequency
 0 Not a high school graduate 1566
 1 High school graduate 5591
 2 Some college 13765
 3 Bachelors degree 19868
 4 Advanced degree 7608

Column: 762  Width: 1  Type: numeric

  • INSCHOOL
  • School enrollment recode

Response Categories
Category Label Frequency
 0 Not in school 0
 1 In school 460
 2 In college or grad school 3237

Column: 763  Width: 1  Type: numeric

  • CITIZEN2
  • Citizenship

Response Categories
Category Label Frequency
 0 Citizen by birth 43219
 1 Naturalized 2567
 2 Not a citizen 2612

Column: 764  Width: 1  Type: numeric

  • GCL
  • Grandchildren living in this house

Response Categories
Category Label Frequency
 1 Yes 389
 2 No 40381

Column: 765  Width: 1  Type: numeric

  • GCM
  • Months responsible for grandchildren

Response Categories
Category Label Frequency
 1 Less than 6 months 19
 2 6 to 11 months 16
 3 1 to 2 years 56
 4 3 to 4 years 34
 5 5 or more years 51

Column: 766  Width: 1  Type: numeric

  • GCR
  • Responsible for grandchildren

Response Categories
Category Label Frequency
 1 Yes 176
 2 No 213

Column: 767  Width: 1  Type: numeric

  • OC
  • Own child

Response Categories
Category Label Frequency
 0 No 48132
 1 Yes 266

Column: 768  Width: 1  Type: numeric

  • PAOC
  • Presence and age of own children

Response Categories
Category Label Frequency
 1 With own children under 6 years only 1773
 2 With own children 6 to 17 years only 3933
 3 With own children under 6 years and 6 to 17 years 996
 4 No own children 16373

Column: 769  Width: 1  Type: numeric

  • RC
  • Related child

Response Categories
Category Label Frequency
 0 No, includes GQ 48113
 1 Yes 285

Column: 770  Width: 1  Type: numeric

  • REL
  • Relationship to reference person

Response Categories
Category Label Frequency
 0 Reference person 27057
 1 Husband/wife 13466
 10 Unmarried partner 1867
 11 Foster child 1
 12 Other nonrelative 253
 13 Institutionalized group quarters 0
 14 Noninstitutionalized group quarters 0
 2 Son/daughter 3508
 3 Brother/sister 294
 4 Father/mother 75
 5 Grandchild 118
 6 Inlaw 168
 7 Other relative 221
 8 Roomer/boarder 239
 9 Housemate/roommate 1131

Column: 771  Width: 2  Type: numeric

  • SFN
  • Subfamily number

Response Categories
Category Label Frequency
 1 In subfamily 1 415
 2 In subfamily 2 2
 3 In subfamily 3 0
 4 In subfamily 4 0

Column: 773  Width: 1  Type: numeric

  • SFR
  • Subfamily relationship

Response Categories
Category Label Frequency
 1 Husband/wife no children 108
 2 Husband/wife with children 104
 3 Parent in a parent/child subfamily 198
 4 Child in a married-couple subfamily 1
 5 Child in a mother-child subfamily 6
 6 Child in a father-child subfamily 0

Column: 774  Width: 1  Type: numeric

  • RELATE
  • Relationship to householder recoded into three categories

Response Categories
Category Label Frequency
 0 HOUSEHOLDER 27057
 1 SPOUSE 13466
 2 OTHER 7875

Column: 775  Width: 1  Type: numeric

  • RELATE2
  • Relationship to householder recoded into eight categories

Response Categories
Category Label Frequency
 0 Householder 27057
 1 Spouse 13466
 2 Child 3508
 3 Other relative 876
 4 Roomer/boarder 239
 5 Housemate/roommate 1131
 6 Unmarried partner 1867
 7 All other 254

Column: 776  Width: 1  Type: numeric

  • FES
  • Family type and employment status

Response Categories
Category Label Frequency
 1 Married-couple family: Husb. and wife in LF 23844
 2 Married-couple family: Husb. in labor force, wife not in LF 4259
 3 Married-couple family: Husb. not in LF,wife in LF 1642
 4 Married-couple family: Neither Husb. nor wife in LF 323
 5 Other family: Male HH, no wife present in LF 1400
 6 Other family: Male HH, no wife presentnot in LF 135
 7 Other family: Female HH, no Husb. present, in LF 2861
 8 Other family: Female HH, no Husb. present, not in LF 542

Column: 777  Width: 1  Type: numeric

  • FINCP
  • Family income in dollars (negative possible, topcoded 99999999)

Column: 778  Width: 8  Type: numeric

  • FPARC
  • Family presence and age of related children

Response Categories
Category Label Frequency
 1 With related children under 5 years only 3749
 2 With related children 5 to 17 years only 10205
 3 With related children under 5 years and 5 to 17 years 2546
 4 No related children 18506

Column: 786  Width: 1  Type: numeric

  • NOC
  • Number of own children in household (unweighted)

Response Categories
Category Label Frequency
 0 No own children 32826
 1 1 own child in household 7201
 10 10 own children in household 1
 11 11 own children in household 0
 12 12 own children in household 0
 13 13 own children in household 0
 14 14 own children in household 0
 15 15 own children in household 0
 16 16 own children in household 0
 17 17 own children in household 0
 18 18 own children in household 0
 19 19+ own children in household 0
 2 2 own children in household 6070
 3 3 own children in household 1774
 4 4 own children in household 389
 5 5 own children in household 89
 6 6 own children in household 30
 7 7 own children in household 15
 8 8 own children in household 3
 9 9 own children in household 0

Column: 787  Width: 2  Type: numeric

  • NPF
  • Number of persons in family (unweighted)

Response Categories
Category Label Frequency
 10 10 people in family 18
 11 11 people in family 13
 12 12 people in family 8
 13 13 people in family 3
 14 14 people in family 2
 15 15 people in family 0
 16 16 people in family 0
 17 17 people in family 0
 18 18 people in family 0
 19 19 people in family 0
 2 2 people in family 15284
 20 20+ people in family 0
 3 3 people in family 8339
 4 4 people in family 7430
 5 5 people in family 2704
 6 6 people in family 792
 7 7 people in family 254
 8 8 people in family 116
 9 9 people in family 43

Column: 789  Width: 2  Type: numeric

  • NPP
  • Grandparent headed household with no parent present

Response Categories
Category Label Frequency
 0 Not a grandparent headed household with no parent present 39984
 1 Grandparent headed household with no parent present 57

Column: 791  Width: 1  Type: numeric

  • NR
  • Presence of nonrelative in household

Response Categories
Category Label Frequency
 0 No nonrelatives in household 34143
 1 1 or more nonrelatives in HH 5898

Column: 792  Width: 1  Type: numeric

  • NRC
  • Number of related children in household (unweighted)

Response Categories
Category Label Frequency
 0 No related children 31898
 1 1 related child in household 7627
 10 10 related children in household 2
 11 11 related children in household 0
 12 12 related children in household 0
 13 13 related children in household 0
 14 14 related children in household 0
 15 15 related children in household 0
 16 16 related children in household 0
 17 17 related children in household 0
 18 18 related children in household 0
 19 19+ related children in household 0
 2 2 related children in household 6364
 3 3 related children in household 1911
 4 4 related children in household 429
 5 5 related children in household 106
 6 6 related children in household 39
 7 7 related children in household 18
 8 8 related children in household 4
 9 9 related children in household 0

Column: 793  Width: 2  Type: numeric

  • HUGCL
  • Flag to indicate grandchild living in housing unit

Response Categories
Category Label Frequency
 0 HU does not contain grandchildren 39005
 1 HU does contain grandchildren 1036

Column: 795  Width: 1  Type: numeric

  • HUPAC
  • Family presence and age of children

Response Categories
Category Label Frequency
 1 With children under 6 years only 4528
 2 With children 6 to 17 years only 9460
 3 With children under 6 years and 6 to 17 years 2704
 4 No children 31706

Column: 796  Width: 1  Type: numeric

  • HUPAOC
  • HH presence and age of own children

Response Categories
Category Label Frequency
 1 Presence of own children under 6 years only 3470
 2 Presence of own children 6 to 17 years only 7430
 3 Presence of own children under 6 years and 6 to 17 years 1967
 4 No own children present 27174

Column: 797  Width: 1  Type: numeric

  • HUPARC
  • HH presence and age of related children

Response Categories
Category Label Frequency
 1 Presence of related children under 6 years only 3730
 2 Presence of related children 6 to 17 years only 7716
 3 Presence of related children under 6 years and 6 to 17 years 2185
 4 No related children present 26410

Column: 798  Width: 1  Type: numeric

  • LNGI
  • Linguistic isolation

Response Categories
Category Label Frequency
 1 Not linguistically isolated 47512
 2 Linguistically isolated 886

Column: 799  Width: 1  Type: numeric

  • PARTNER
  • Unmarried partner household

Response Categories
Category Label Frequency
 0 No unmarried partner in household 36854
 1 Male householder, male partner 481
 2 Male householder, female partner 1206
 3 Female householder, male partner 1249
 4 Female householder, female partner 251

Column: 800  Width: 1  Type: numeric

  • PSF
  • Presence of subfamilies in household

Response Categories
Category Label Frequency
 0 No subfamilies in household 47364
 1 1 or more subfamilies in household 1034

Column: 801  Width: 1  Type: numeric

  • R18
  • Presence of persons under 18 years in household (unweighted)

Response Categories
Category Label Frequency
 0 No person under 18 in household 31700
 1 1 or more persons under 18 in household 16698

Column: 802  Width: 1  Type: numeric

  • R60
  • Presence of persons 60 years and over in household (unweighted)

Response Categories
Category Label Frequency
 0 No person 60 and over 32482
 1 1 person 60 and over 4375
 2 2 or more persons 60 and over 3184

Column: 803  Width: 1  Type: numeric

  • R65
  • Presence of persons 65 years and over in household (unweighted)

Response Categories
Category Label Frequency
 0 No person 65 and over 42862
 1 1 person 65 and over 3625
 2 2 or more persons 65 and over 1911

Column: 804  Width: 1  Type: numeric

  • WIF
  • Workers in family during the past 12 months

Response Categories
Category Label Frequency
 0 No workers 89
 1 1 worker 6156
 2 2 workers 22674
 3 3 or more workers in family 6087

Column: 805  Width: 1  Type: numeric

  • WKEXREL
  • Work experience of HH and spouse

Response Categories
Category Label Frequency
 1 Householder and spouse worked FT 9401
 10 Male householder worked FT; no spouse present 910
 11 Male householder worked < FT; no spouse present 504
 12 Male householder did not work; no spouse present 121
 13 Female householder worked FT; no spouse present 1599
 14 Female householder worked < FT; no spouse present 1296
 15 Female householder did not work; no spouse present 508
 2 Householder worked FT; spouse worked < FT 6952
 3 Householder worked FT; spouse did not work 1982
 4 Householder worked < FT; spouse worked FT 4079
 5 Householder worked < FT; spouse worked < FT 4468
 6 Householder worked < FT; spouse did not work 1214
 7 Householder did not work; spouse worked FT 836
 8 Householder did not work; spouse worked < FT 864
 9 Householder did not work; spouse did not work 272

Column: 806  Width: 2  Type: numeric

  • WORKSTAT
  • Work status of household or spouse in family household

Response Categories
Category Label Frequency
 0 residual 0
 1 full year full time 26169
 2 not full year full time 21788
 3 no work past year but now in lf 441
 4 no work past year nilf 0

Column: 808  Width: 1  Type: numeric

  • NP
  • Number of person records for this housing unit

Column: 809  Width: 2  Type: numeric

  • TYPE
  • Type of unit

Response Categories
Category Label Frequency
 1 Housing unit 48398
 2 Institutional group quarters 0
 3 Noninstitutional group quarters 0

Column: 811  Width: 1  Type: numeric

  • ACR
  • Lot size

Response Categories
Category Label Frequency
 1 House on less than one acre 29465
 2 House on one to less than ten acres 6176
 3 House on ten or more acres 1516

Column: 812  Width: 1  Type: numeric

  • BDS
  • Bedrooms

Response Categories
Category Label Frequency
 0 No bedrooms 620
 1 1 Bedroom 4874
 2 2 Bedrooms 10736
 3 3 Bedrooms 19192
 4 4 Bedrooms 10140
 5 5 or more bedrooms 2836

Column: 813  Width: 1  Type: numeric

  • BLD
  • Units in structure

Response Categories
Category Label Frequency
 1 Mobile home or trailer 969
 10 Boat, RV, van, etc. 20
 2 One-family house detached 33268
 3 One-family house attached 2920
 4 2 Apartments 1620
 5 3-4 Apartments 1837
 6 5-9 Apartments 1993
 7 10-19 Apartments 1809
 8 20-49 Apartments 1668
 9 50 or more apartments 2294

Column: 814  Width: 2  Type: numeric

  • BUS
  • Business or medical office on property

Response Categories
Category Label Frequency
 1 Yes 1823
 2 No 35334

Column: 816  Width: 1  Type: numeric

  • CONP
  • Condo fee (monthly amount in $)

Column: 817  Width: 4  Type: numeric

  • ELEP
  • Electricity (monthly cost in $)

Column: 821  Width: 3  Type: numeric

  • ELEPTYP
  • Electricity cost type

Response Categories
Category Label Frequency
 0 No charge or electricity not used 268
 1 Included in rent or in condo fee 1171
 2 monthly cost available in Dollar amount 46959

Column: 824  Width: 1  Type: numeric

  • FS
  • Food stamp amount

Column: 825  Width: 4  Type: numeric

  • FULP
  • House heating fuel (yearly cost)

Column: 829  Width: 4  Type: numeric

  • FULPTYP
  • Fuel cost type

Response Categories
Category Label Frequency
 0 No charge or fuel not used 39565
 1 Included in rent or in condo fee 1873
 2 monthly cost available in Dollar amount 6960

Column: 833  Width: 1  Type: numeric

  • GASP
  • Gas (monthly cost)

Column: 834  Width: 3  Type: numeric

  • GASPTYP
  • Gas cost type

Response Categories
Category Label Frequency
 0 No charge or gas not used 12765
 1 Included in rent or in condo fee 2345
 2 included in electricity payment 2264
 3 monthly cost available in Dollar amount 31024

Column: 837  Width: 1  Type: numeric

  • HFL
  • House heating fuel

Response Categories
Category Label Frequency
 1 Utility gas 27033
 2 Bottled, tank, or LP gas 2383
 3 Electricity 12859
 4 Fuel oil, kerosene, etc. 4664
 5 Coal or coke 35
 6 Wood 737
 7 Solar energy 38
 8 Other fuel 191
 9 No fuel used 458

Column: 838  Width: 1  Type: numeric

  • INSP
  • Fire/hazard/flood insurance (yearly amount)

Column: 839  Width: 4  Type: numeric

  • KIT
  • Complete kitchen facilities

Response Categories
Category Label Frequency
 1 Yes, has all three facilities 48227
 2 No 171

Column: 843  Width: 1  Type: numeric

  • MHP
  • Mobile home costs (yearly amount)

Column: 844  Width: 5  Type: numeric

  • MRGI
  • Payment include fire/hazard/flood insurance

Response Categories
Category Label Frequency
 1 Yes, insurance included in payment 14688
 2 No, insurance paid separately or no insurance 14688

Column: 849  Width: 1  Type: numeric

  • MRGP
  • Mortgage payment (monthly amount)

Column: 850  Width: 5  Type: numeric

  • MRGT
  • Payment include real estate taxes

Response Categories
Category Label Frequency
 1 Yes, taxes included in payment 17843
 2 No, taxes paid separately or taxes not required 11533

Column: 855  Width: 1  Type: numeric

  • MRGX
  • Mortgage status

Response Categories
Category Label Frequency
 1 Mortgage deed of trust, or similar debt 29179
 2 Contract to purchase 197
 3 None 6659

Column: 856  Width: 1  Type: numeric

  • PLM
  • Complete plumbing facilities

Response Categories
Category Label Frequency
 1 Yes, has all three plumbing facilities 48247
 2 No - incomplete plumbing 151

Column: 857  Width: 1  Type: numeric

  • RMS
  • Rooms

Response Categories
Category Label Frequency
 1 1 Room 446
 2 2 Rooms 1608
 3 3 Rooms 3504
 4 4 Rooms 5714
 5 5 Rooms 7945
 6 6 Rooms 8912
 7 7 Rooms 7540
 8 8 Rooms 5804
 9 9 or more rooms 6925

Column: 858  Width: 1  Type: numeric

  • RNTM
  • Meals included in rent

Response Categories
Category Label Frequency
 1 Yes, meals included in rent 37
 2 No, meals not included in rent 11812

Column: 859  Width: 1  Type: numeric

  • RNTP
  • Monthly rent

Column: 860  Width: 5  Type: numeric

  • SMP
  • Second mortgage payment (monthly amount)

Column: 865  Width: 5  Type: numeric

  • TEL
  • Telephone in Unit

Response Categories
Category Label Frequency
 1 Yes - telephone in unit 46696
 2 No telephone in unit 1702

Column: 870  Width: 1  Type: numeric

  • TEN
  • Tenure

Response Categories
Category Label Frequency
 1 Owned with mortgage or loan 29376
 2 Owned free and clear 6659
 3 Rented for cash rent 11849
 4 No cash rent 514

Column: 871  Width: 1  Type: numeric

  • WATP
  • Water (yearly cost)

Column: 872  Width: 4  Type: numeric

  • YBL
  • When structure first built

Response Categories
Category Label Frequency
 1 2005 or later 880
 2 2000 to 2004 3940
 3 1990 to 1999 5868
 4 1980 to 1989 6282
 5 1970 to 1979 6768
 6 1960 to 1969 5100
 7 1950 to 1959 5557
 8 1940 to 1949 3118
 9 1939 or earlier 10885

Column: 876  Width: 1  Type: numeric

  • GRNTP
  • Gross rent

Column: 877  Width: 4  Type: numeric

  • GRPIP
  • Gross rent as a percentage of household income past 12 months (topcoded at 101%)

Column: 881  Width: 3  Type: numeric

  • HHL
  • Household language

Response Categories
Category Label Frequency
 1 Household language: English only 39796
 2 Household language: Spanish 3637
 3 Household language: Other Indo-European language 2880
 4 Household language: Asian or Pacific Island language 1719
 5 Household language: Other language 366

Column: 884  Width: 1  Type: numeric

  • HHT
  • Household/family type

Response Categories
Category Label Frequency
 1 Married-couple family household 30068
 2 Male householder, no wife present 1535
 3 Female householder, no husband present 3403
 4 Male householder: Living alone 4184
 5 Male householder, non-family: Not living alone 3039
 6 Female householder: Living alone 3815
 7 Female householder, non-family: Not living alone 2354

Column: 885  Width: 1  Type: numeric

  • HINCP
  • Household income (negative possible)

Column: 886  Width: 8  Type: numeric

  • MV
  • When moved into this house or apartment

Response Categories
Category Label Frequency
 1 12 months or less 7277
 2 13 to 23 months 3997
 3 2 to 4 years 10489
 4 5 to 9 years 9847
 5 10 to 19 years 9780
 6 20 to 29 years 4234
 7 30 years or more 2774

Column: 894  Width: 1  Type: numeric

  • OCPIP
  • Selected monthly owner costs as % of household income (topcoded at $101)

Column: 895  Width: 3  Type: numeric

  • SMOCP
  • Selected monthly owner costs ($)

Column: 898  Width: 5  Type: numeric

  • SMX
  • Second mortgage or home equity loan status

Response Categories
Category Label Frequency
 1 Yes, a second mortgage 1649
 2 Yes, a home equity loan 7174
 3 No second mortgage or home equity loan 20242
 4 Both a second mortgage and a home equity loan 311

Column: 903  Width: 1  Type: numeric

  • SRNT
  • Specified rent unit

Response Categories
Category Label Frequency
 0 Not specified rent unit 36168
 1 Specified rent unit 12230

Column: 904  Width: 1  Type: numeric

  • SVAL
  • Specified value unit

Response Categories
Category Label Frequency
 0 Not specified owner unit 18579
 1 Specified VALUE unit 29819

Column: 905  Width: 1  Type: numeric

  • TAXP
  • Property taxes (yearly amount)

Response Categories
Category Label Frequency
 1 No property taxes 727
 10 $ 400 - $ 449= yearly property taxes 271
 11 $ 450 - $ 499= yearly property taxes 245
 12 $ 500 - $ 549= yearly property taxes 406
 13 $ 550 - $ 599= yearly property taxes 210
 14 $ 600 - $ 649= yearly property taxes 500
 15 $ 650 - $ 699= yearly property taxes 270
 16 $ 700 - $ 749= yearly property taxes 449
 17 $ 750 - $ 799= yearly property taxes 251
 18 $ 800 - $ 849= yearly property taxes 580
 19 $ 850 - $ 899= yearly property taxes 260
 2 $ 1 - $ 49= yearly property taxes 86
 20 $ 900 - $ 949= yearly property taxes 491
 21 $ 950 - $ 999= yearly property taxes 256
 22 $1000 - $1099= yearly property taxes 874
 23 $1100 - $1199= yearly property taxes 643
 24 $1200 - $1299= yearly property taxes 1552
 25 $1300 - $1399= yearly property taxes 756
 26 $1400 - $1499= yearly property taxes 816
 27 $1500 - $1599= yearly property taxes 1075
 28 $1600 - $1699= yearly property taxes 793
 29 $1700 - $1799= yearly property taxes 662
 3 $ 50 - $ 99 = yearly property taxes 101
 30 $1800 - $1899= yearly property taxes 946
 31 $1900 - $1999= yearly property taxes 493
 32 $2000 - $2099= yearly property taxes 1417
 33 $2100 - $2199= yearly property taxes 406
 34 $2200 - $2299= yearly property taxes 701
 35 $2300 - $2399= yearly property taxes 501
 36 $2400 - $2499= yearly property taxes 874
 37 $2500 - $2599= yearly property taxes 1009
 38 $2600 - $2699= yearly property taxes 495
 39 $2700 - $2799= yearly property taxes 387
 4 $ 100 - $ 149 = yearly property taxes 134
 40 $2800 - $2899= yearly property taxes 562
 41 $2900 - $2999= yearly property taxes 263
 42 $3000 - $3099= yearly property taxes 1375
 43 $3100 - $3199= yearly property taxes 233
 44 $3200 - $3299= yearly property taxes 508
 45 $3300 - $3399= yearly property taxes 277
 46 $3400 - $3499= yearly property taxes 309
 47 $3500 - $3599= yearly property taxes 706
 48 $3600 - $3699= yearly property taxes 478
 49 $3700 - $3799= yearly property taxes 246
 5 $ 150 - $ 199 = yearly property taxes 126
 50 $3800 - $3899= yearly property taxes 352
 51 $3900 - $3999= yearly property taxes 166
 52 $4000 - $4099= yearly property taxes 1082
 53 $4100 - $4199= yearly property taxes 148
 54 $4200 - $4299= yearly property taxes 284
 55 $4300 - $4399= yearly property taxes 176
 56 $4400 - $4499= yearly property taxes 177
 57 $4500 - $4599= yearly property taxes 505
 58 $4600 - $4699= yearly property taxes 177
 59 $4700 - $4799= yearly property taxes 112
 6 $ 200 - $ 249 = yearly property taxes 197
 60 $4800 - $4899= yearly property taxes 267
 61 $4900 - $4999= yearly property taxes 95
 62 $5000 - $5499= yearly property taxes 1341
 63 $5500 - $5999= yearly property taxes 626
 64 $6000 - $6999= yearly property taxes 1503
 65 $7000 - $7999= yearly property taxes 863
 66 $8000 - $8999= yearly property taxes 707
 67 $9000 - $9999= yearly property taxes 400
 68 $10,000+ yearly property taxes 1462
 7 $ 250 - $ 299= yearly property taxes 175
 8 $ 300 - $ 349= yearly property taxes 288
 9 $ 350 - $ 399= yearly property taxes 212

Column: 906  Width: 2  Type: numeric

  • FACRP
  • Lot size allocation

Response Categories
Category Label Frequency
 0 No 47795
 1 Yes 603

Column: 908  Width: 1  Type: numeric

  • COW
  • Class of worker

Response Categories
Category Label Frequency
 1 Employee of a private for profit business or individual, for 25121
 2 Employee of a private not-for-profit, tax-exempt, or charita 3943
 3 Local government employee (city, county, etc.) 530
 4 State government employee 832
 5 Federal government employee 461
 6 Self-employed in own not incorporated business, professional 13390
 7 Self-employed in own incorporated business, professional pra 3949
 8 Working without pay in family business or farm 172
 9 Unemployed 0

Column: 909  Width: 1  Type: numeric

  • DWRK
  • Difficulty working at a job

Response Categories
Category Label Frequency
 1 Yes 967
 2 No 47431

Column: 910  Width: 1  Type: numeric

  • JWMNP
  • Travel time to work

Column: 911  Width: 3  Type: numeric

  • JWRIP
  • Vehicle occupancy

Response Categories
Category Label Frequency
 1 Drove alone 27718
 10 In 10-person or more carpool 55
 2 In 2-person carpool 2853
 3 In 3-person carpool 392
 4 In 4-person carpool 120
 5 In 5-person carpool 62
 6 In 6-person carpool 26
 7 In 7-person carpool 16
 8 In 8-person carpool 11
 9 In 9-person carpool 9

Column: 914  Width: 2  Type: numeric

  • JWTR
  • Transportation to work

Response Categories
Category Label Frequency
 1 Car, truck, or van 31262
 10 Walked 1549
 11 Worked at home 7830
 12 Other method 414
 2 Bus or trolley bus 859
 3 Streetcar or trolley car (carro publico in Puerto Rico) 39
 4 Subway or elevated 1571
 5 Railroad 460
 6 Ferryboat 29
 7 Taxicab 103
 8 Motorcycle 82
 9 Bicycle 301

Column: 916  Width: 2  Type: numeric

  • NWAB
  • Temporarily absent from work

Response Categories
Category Label Frequency
 1 Yes 1537
 2 No 7056
 3 Did not report 39805

Column: 918  Width: 1  Type: numeric

  • NWAV
  • Available for Work

Response Categories
Category Label Frequency
 1 Yes 3803
 2 No, temporarily ill 153
 3 No, other reasons 293
 4 No, unspecified 0
 5 Did not report 44149

Column: 919  Width: 1  Type: numeric

  • NWLA
  • On layoff

Response Categories
Category Label Frequency
 1 Yes 728
 2 No 9179
 3 Did not report 38491

Column: 920  Width: 1  Type: numeric

  • NWLK
  • Looking for work

Response Categories
Category Label Frequency
 1 Yes 3019
 2 No 5919
 3 Did not report 39460

Column: 921  Width: 1  Type: numeric

  • NWRE
  • Informed of recall

Response Categories
Category Label Frequency
 1 Yes 426
 2 No 3094
 3 Did not report 44878

Column: 922  Width: 1  Type: numeric

  • WKHP
  • Usual hours worked per week

Column: 923  Width: 3  Type: numeric

  • WKL
  • When last worked

Response Categories
Category Label Frequency
 0 NA 0
 1 worked in past 12 months 47957
 2 worked 1 to 5 years ago 441
 3 over 5 years or never 0

Column: 926  Width: 1  Type: numeric

  • WKW
  • Weeks worked past 12 months

Column: 927  Width: 2  Type: numeric

  • UWRK
  • Worked last week

Response Categories
Category Label Frequency
 1 Worked 43466
 2 Did not work 4097

Column: 929  Width: 1  Type: numeric

  • ESP
  • Employment status of parents

Response Categories
Category Label Frequency
 1 Both parents in labor force 140
 2 Father only in labor force 37
 3 Mother only in labor force 9
 4 Neither parent in labor force 5
 5 Living with one parent - father: Father in the labor force 16
 6 Living with one parent - father: Father not in labor force 1
 7 Living with one parent - Mother: Mother in the labor force 61
 8 Living with one parent - Mother: Mother not in labor force 4

Column: 930  Width: 1  Type: numeric

  • ESR
  • Employment status recode

Response Categories
Category Label Frequency
 0 NA 0
 1 at work 44499
 2 with job not at work 1320
 3 unemployed 2579
 4 af at work 0
 5 af with job not at work 0
 6 NILF 0

Column: 931  Width: 1  Type: numeric

  • INDP
  • Industry recode 5%

Response Categories
Category Label Frequency
 1070 MFG-ANIMAL FOOD, GRAIN AND OILSEED MILLING 5
 1080 MFG-SUGAR AND CONFECTIONERY PRODUCTS 4
 1090 MFG-FRUIT AND VEGETABLE PRESERVING AND SPECIALTY FOODS 4
 1170 MFG-DAIRY PRODUCTS 1
 1180 MFG-ANIMAL SLAUGHTERING AND PROCESSING 4
 1190 MFG-RETAIL BAKERIES 3
 1270 MFG-BAKERIES, EXCEPT RETAIL 0
 1280 MFG-SEAFOOD AND OTHER MISCELLANEOUS FOODS, NEC 4
 1290 MFG-NOT SPECIFIED FOOD INDUSTRIES 1
 1370 MFG-BEVERAGE 10
 1390 MFG-TOBACCO 1
 1470 MFG-FIBER, YARN, AND THREAD MILLS 1
 1480 MFG-FABRIC MILLS, EXCEPT KNITTING 53
 1490 MFG-TEXTILE AND FABRIC FINISHING AND COATING MILLS 18
 1570 MFG-CARPETS AND RUGS 12
 1590 MFG-TEXTILE PRODUCT MILLS, EXCEPT CARPETS AND RUGS 50
 1670 MFG-KNITTING MILLS 17
 1680 MFG-CUT AND SEW APPAREL 274
 1690 MFG-APPAREL ACCESSORIES AND OTHER APPAREL 13
 170 AGR-CROP PRODUCTION 19
 1770 MFG-FOOTWEAR 19
 1790 MFG-LEATHER TANNING AND PRODUCTS, EXCEPT FOOTWEAR 16
 180 AGR-ANIMAL PRODUCTION 7
 1870 MFG-PULP, PAPER, AND PAPERBOARD MILLS 12
 1880 MFG-PAPERBOARD CONTAINERS AND BOXES 43
 1890 MFG-MISCELLANEOUS PAPER AND PULP PRODUCTS 31
 190 AGR-FORESTRY EXCEPT LOGGING 9
 1990 MFG-PRINTING AND RELATED SUPPORT ACTIVITIES 814
 2070 MFG-PETROLEUM REFINING 16
 2090 MFG-MISCELLANEOUS PETROLEUM AND COAL PRODUCTS 5
 2170 MFG-RESIN, SYNTHETIC RUBBER AND FIBERS, AND FILAMENTS 11
 2180 MFG-AGRICULTURAL CHEMICALS 2
 2190 MFG-PHARMACEUTICALS AND MEDICINES 58
 2270 MFG-PAINT, COATING, AND ADHESIVES 4
 2280 MFG-SOAP, CLEANING COMPOUND, AND COSMETICS 28
 2290 MFG-INDUSTRIAL AND MISCELLANEOUS CHEMICALS 33
 2370 MFG-PLASTICS PRODUCTS 51
 2380 MFG-TIRES 3
 2390 MFG-RUBBER PRODUCTS, EXCEPT TIRES 13
 2470 MFG-POTTERY, CERAMICS, AND RELATED PRODUCTS 57
 2480 MFG-STRUCTURAL CLAY PRODUCTS 5
 2490 MFG-GLASS AND GLASS PRODUCTS 72
 2570 MFG-CEMENT, CONCRETE, LIME, AND GYPSUM PRODUCTS 19
 2590 MFG-MISCELLANEOUS NONMETALLIC MINERAL PRODUCTS 11
 2670 MFG-IRON AND STEEL MILLS AND STEEL PRODUCTS 9
 2680 MFG-ALUMINUM PRODUCTION AND PROCESSING 2
 2690 MFG-NONFERROUS METAL, EXCEPT ALUMINUM, PRODUCTION AND PROCES 3
 270 AGR-LOGGING 0
 2770 MFG-FOUNDRIES 14
 2780 MFG-METAL FORGINGS AND STAMPINGS 6
 2790 MFG-CUTLERY AND HAND TOOLS 15
 280 AGR-FISHING, HUNTING, AND TRAPPING 1
 2870 MFG-STRUCTURAL METALS, AND TANK AND SHIPPING CONTAINERS 43
 2880 MFG-MACHINE SHOPS; TURNED PRODUCTS; SCREWS, NUTS AND BOLTS 17
 2890 MFG-COATING, ENGRAVING, HEAT TREATING AND ALLIED ACTIVITIES 5
 290 AGR-SUPPORT ACTIVITIES FOR AGRICULTURE AND FORESTRY 9
 2970 MFG-ORDNANCE 4
 2980 MFG-MISCELLANEOUS FABRICATED METAL PRODUCTS 41
 2990 MFG-NOT SPECIFIED METAL INDUSTRIES 1
 3070 MFG-AGRICULTURAL IMPLEMENTS 9
 3080 MFG-CONSTRUCTION, MINING AND OIL FIELD MACHINERY 28
 3090 MFG-COMMERCIAL AND SERVICE INDUSTRY MACHINERY 28
 3170 MFG-METALWORKING MACHINERY 42
 3180 MFG-ENGINES, TURBINES, AND POWER TRANSMISSION EQUIPMENT 4
 3190 MFG-MACHINERY, NEC 114
 3290 MFG-NOT SPECIFIED MACHINERY 4
 3360 MFG-COMPUTER AND PERIPHERAL EQUIPMENT 57
 3370 MFG-COMMUNICATIONS, AUDIO, AND VIDEO EQUIPMENT 55
 3380 MFG-NAVIGATIONAL, MEASURING, ELECTROMEDICAL, AND CONTROL INS 67
 3390 MFG-ELECTRONIC COMPONENTS AND PRODUCTS, NEC 229
 3470 MFG-HOUSEHOLD APPLIANCES 14
 3490 MFG-ELECTRICAL LIGHTING, EQUIPMENT, AND SUPPLIES, NEC 78
 3570 MFG-MOTOR VEHICLES AND MOTOR VEHICLE EQUIPMENT 234
 3580 MFG-AIRCRAFT AND PARTS 36
 3590 MFG-AEROSPACE PRODUCTS AND PARTS 44
 3670 MFG-RAILROAD ROLLING STOCK 6
 3680 MFG-SHIP AND BOAT BUILDING 85
 3690 MFG-OTHER TRANSPORTATION EQUIPMENT 11
 370 EXT-OIL AND GAS EXTRACTION 4
 3770 MFG-SAWMILLS AND WOOD PRESERVATION 5
 3780 MFG-VENEER, PLYWOOD, AND ENGINEERED WOOD PRODUCTS 54
 3790 MFG-PREFABRICATED WOOD BUILDINGS AND MOBILE HOMES 11
 380 EXT-COAL MINING 0
 3870 MFG-MISCELLANEOUS WOOD PRODUCTS 33
 3890 MFG-FURNITURE AND RELATED PRODUCTS 191
 390 EXT-METAL ORE MINING 0
 3960 MFG-MEDICAL EQUIPMENT AND SUPPLIES 63
 3970 MFG-TOYS, AMUSEMENT, AND SPORTING GOODS 311
 3980 MFG-MISCELLANEOUS MANUFACTURING, NEC 429
 3990 MFG-NOT SPECIFIED INDUSTRIES 55
 4070 WHL-MOTOR VEHICLES PARTS AND SUPPLIES MERCHANT WHOLESALERS 13
 4080 WHL-FURNITURE AND HOME FURNISHING MERCHANT WHOLESALERS 66
 4090 WHL-LUMBER AND OTHER CONSTRUCTION MATERIALS MERCHANT WHOLESA 34
 4170 WHL-PROFESSIONAL AND COMMERCIAL EQUIPMENT AND SUPPLIES MERCH 53
 4180 WHL-METALS AND MINERALS, EXCEPT PETROLEUM, MERCHANT WHOLESAL 0
 4190 WHL-ELECTRICAL GOODS MERCHANT WHOLESALERS 30
 4260 WHL-HARDWARE, PLUMBING AND HEATING EQUIPMENT, AND SUPPLIES M 22
 4270 WHL-MACHINERY, EQUIPMENT, AND SUPPLIES MERCHANT WHOLESALERS 34
 4280 WHL-RECYCLABLE MATERIAL MERCHANT WHOLESALERS 0
 4290 WHL-MISCELLANEOUS DURABLE GOODS MERCHANT WHOLESALERS 85
 4370 WHL-PAPER AND PAPER PRODUCTS MERCHANT WHOLESALERS 33
 4380 WHL-DRUGS, SUNDRIES, AND CHEMICAL AND ALLIED PRODUCTS MERCHA 30
 4390 WHL-APPAREL, FABRICS, AND NOTIONS MERCHANT WHOLESALERS 94
 4470 WHL-GROCERIES AND RELATED PRODUCTS MERCHANT WHOLESALERS 58
 4480 WHL-FARM PRODUCT RAW MATERIALS MERCHANT WHOLESALERS 2
 4490 WHL-PETROLEUM AND PETROLEUM PRODUCTS MERCHANT WHOLESALERS 5
 4560 WHL-ALCOHOLIC BEVERAGES MERCHANT WHOLESALERS 42
 4570 WHL-FARM SUPPLIES MERCHANT WHOLESALERS 2
 4580 WHL-MISCELLANEOUS NONDURABLE GOODS MERCHANT WHOLESALERS 121
 4585 WHL-ELECTRONIC MARKETS AGENTS AND BROKERS 7
 4590 WHL-NOT SPECIFIED TRADE 11
 4670 RET-AUTOMOBILE DEALERS 26
 4680 RET-OTHER MOTOR VEHICLE DEALERS 4
 4690 RET-AUTO PARTS, ACCESSORIES, AND TIRE STORES 9
 470 EXT-NONMETALLIC MINERAL MINING AND QUARRYING 1
 4770 RET-FURNITURE AND HOME FURNISHINGS STORES 572
 4780 RET-HOUSEHOLD APPLIANCE STORES 12
 4790 RET-RADIO, TV, AND COMPUTER STORES 93
 480 EXT-NOT SPECIFIED TYPE OF MINING 0
 4870 RET-BUILDING MATERIAL AND SUPPLIES DEALERS 374
 4880 RET-HARDWARE STORES 20
 4890 RET-LAWN AND GARDEN EQUIPMENT AND SUPPLIES STORES 55
 490 EXT-SUPPORT ACTIVITIES FOR MINING 12
 4970 RET-GROCERY STORES 276
 4980 RET-SPECIALTY FOOD STORES 17
 4990 RET-BEER, WINE, AND LIQUOR STORES 3
 5070 RET-PHARMACIES AND DRUG STORES 14
 5080 RET-HEALTH AND PERSONAL CARE, EXCEPT DRUG, STORES 25
 5090 RET-GASOLINE STATIONS 4
 5170 RET-CLOTHING AND ACCESSORIES, EXCEPT SHOE, STORES 226
 5180 RET-SHOE STORES 9
 5190 RET-JEWELRY, LUGGAGE,AND LEATHER GOODS STORES 84
 5270 RET-SPORTING GOODS, CAMERA, AND HOBBY AND TOY STORES 177
 5280 RET-SEWING, NEEDLEWORK AND PIECE GOODS STORES 36
 5290 RET-MUSIC STORES 17
 5370 RET-BOOK STORES AND NEWS DEALERS 29
 5380 RET-DEPARTMENT AND DISCOUNT STORES 304
 5390 RET-MISCELLANEOUS GENERAL MERCHANDISE STORES 22
 5470 RET-FLORISTS 1749
 5480 RET-OFFICE SUPPLIES AND STATIONARY STORES 18
 5490 RET-USED MERCHANDISE STORES 22
 5570 RET-GIFT, NOVELTY, AND SOUVENIR SHOPS 113
 5580 RET-MISCELLANEOUS STORES 278
 5590 RET-ELECTRONIC SHOPPING 45
 5591 RET-ELECTRONIC AUCTIONS 9
 5592 RET-MAIL-ORDER HOUSES 71
 5670 RET-VENDING MACHINE OPERATORS 5
 5680 RET-FUEL DEALERS 1
 5690 RET-OTHER DIRECT SELLING ESTABLISHMENTS 65
 570 UTL-ELECTRIC POWER GENERATION, TRANSMISSION AND DISTRIBUTION 77
 5790 RET-NOT SPECIFIED TRADE 50
 580 UTL-NATURAL GAS DISTRIBUTION 7
 590 UTL-ELECTRIC AND GAS, AND OTHER COMBINATIONS 5
 6070 TRN-AIR TRANSPORTATION 10
 6080 TRN-RAIL TRANSPORTATION 5
 6090 TRN-WATER TRANSPORTATION 23
 6170 TRN-TRUCK TRANSPORTATION 8
 6180 TRN-BUS SERVICE AND URBAN TRANSIT 14
 6190 TRN-TAXI AND LIMOUSINE SERVICE 2
 6270 TRN-PIPELINE TRANSPORTATION 5
 6280 TRN-SCENIC AND SIGHTSEEING TRANSPORTATION 10
 6290 TRN-SERVICES INCIDENTAL TO TRANSPORTATION 19
 6370 TRN-POSTAL SERVICE 6
 6380 TRN-COURIERS AND MESSENGERS 10
 6390 TRN-WAREHOUSING AND STORAGE 2
 6470 INF-NEWSPAPER PUBLISHERS 1013
 6480 INF-PUBLISHING, EXCEPT NEWSPAPERS AND SOFTWARE 986
 6490 INF-SOFTWARE PUBLISHING 51
 6570 INF-MOTION PICTURES AND VIDEO INDUSTRIES 1834
 6590 INF-SOUND RECORDING INDUSTRIES 205
 6670 INF-RADIO AND TELEVISION BROADCASTING AND CABLE 2219
 6675 INF-INTERNET PUBLISHING AND BROADCASTING 27
 6680 INF-WIRED TELECOMMUNICATIONS CARRIERS 114
 6690 INF-OTHER TELECOMMUNICATION SERVICES 60
 6692 INF-INTERNET SERVICE PROVIDERS 35
 6695 INF-DATA PROCESSING, HOSTING, AND RELATED SERVICES 25
 670 UTL-WATER, STEAM, AIR CONDITIONING, AND IRRIGATION SYSTEMS 5
 6770 INF-LIBRARIES AND ARCHIVES 31
 6780 INF-OTHER INFORMATION SERVICES 34
 680 UTL-SEWAGE TREATMENT FACILITIES 5
 6870 FIN-BANKING AND RELATED ACTIVITIES 52
 6880 FIN-SAVINGS INSTITUTIONS, INCLUDING CREDIT UNIONS 10
 6890 FIN-NON-DEPOSITORY CREDIT AND RELATED ACTIVITIES 53
 690 UTL-NOT SPECIFIED UTILITIES 2
 6970 FIN-SECURITIES, COMMODITIES, FUNDS, TRUSTS, AND OTHER FINANC 76
 6990 FIN-INSURANCE CARRIERS AND RELATED ACTIVITIES 145
 7070 FIN-REAL ESTATE 189
 7080 FIN-AUTOMOTIVE EQUIPMENT RENTAL AND LEASING 2
 7170 FIN-VIDEO TAPE AND DISK RENTAL 3
 7180 FIN-OTHER CONSUMER GOODS RENTAL 10
 7190 FIN-COMMERCIAL, INDUSTRIAL, AND OTHER INTANGIBLE ASSETS RENT 8
 7270 PRF-LEGAL SERVICES 59
 7280 PRF-ACCOUNTING, TAX PREPARATION, BOOKKEEPING AND PAYROLL SER 34
 7290 PRF-ARCHITECTURAL, ENGINEERING, AND RELATED SERVICES 5272
 7370 PRF-SPECIALIZED DESIGN SERVICES 4972
 7380 PRF-COMPUTER SYSTEMS DESIGN AND RELATED SERVICES 447
 7390 PRF-MANAGEMENT, SCIENTIFIC AND TECHNICAL CONSULTING SERVICES 461
 7460 PRF-SCIENTIFIC RESEARCH AND DEVELOPMENT SERVICES 140
 7470 PRF-ADVERTISING AND RELATED SERVICES 1636
 7480 PRF-VETERINARY SERVICES 6
 7490 PRF-OTHER PROFESSIONAL, SCIENTIFIC AND TECHNICAL SERVICES 2208
 7570 PRF-MANAGEMENT OF COMPANIES AND ENTERPRISES 48
 7580 PRF-EMPLOYMENT SERVICES 136
 7590 PRF-BUSINESS SUPPORT SERVICES 119
 7670 PRF-TRAVEL ARRANGEMENTS AND RESERVATION SERVICES 49
 7680 PRF-INVESTIGATION AND SECURITY SERVICES 11
 7690 PRF-SERVICES TO BUILDINGS AND DWELLINGS, EX CONSTR CLN 5
 770 CON-CONSTRUCTION, INCL CLEANING DURING AND IMM AFTER 674
 7770 PRF-LANDSCAPING SERVICES 282
 7780 PRF-OTHER ADMINISTRATIVE, AND OTHER SUPPORT SERVICES 110
 7790 PRF-WASTE MANAGEMENT AND REMEDIATION SERVICES 1
 7860 EDU-ELEMENTARY AND SECONDARY SCHOOLS 196
 7870 EDU-COLLEGES AND UNIVERSITIES, INCLUDING JUNIOR COLLEGES 847
 7880 EDU-BUSINESS, TECHNICAL, AND TRADE SCHOOLS AND TRAINING 27
 7890 EDU-OTHER SCHOOLS, INSTRUCTION, AND EDUCATIONAL SERVICES 155
 7970 MED-OFFICES OF PHYSICIANS 33
 7980 MED-OFFICES OF DENTISTS 3
 7990 MED-OFFICE OF CHIROPRACTORS 0
 8070 MED-OFFICES OF OPTOMETRISTS 1
 8080 MED-OFFICES OF OTHER HEALTH PRACTITIONERS 11
 8090 MED-OUTPATIENT CARE CENTERS 16
 8170 MED-HOME HEALTH CARE SERVICES 3
 8180 MED-OTHER HEALTH CARE SERVICES 48
 8190 MED-HOSPITALS 157
 8270 MED-NURSING CARE FACILITIES 16
 8290 MED-RESIDENTIAL CARE FACILITIES, WITHOUT NURSING 29
 8370 SCA-INDIVIDUAL AND FAMILY SERVICES 88
 8380 SCA-COMMUNITY FOOD AND HOUSING, AND EMERGENCY SERVICES 12
 8390 SCA-VOCATIONAL REHABILITATION SERVICES 13
 8470 SCA-CHILD DAY CARE SERVICES 18
 8560 ENT-INDEPENDENT ARTISTS, PERFORMING ARTS, SPECTATOR SPORTS A 8607
 8570 ENT-MUSEUMS, ART GALLERIES, HISTORICAL SITES, AND SIMILAR IN 226
 8580 ENT-BOWLING CENTERS 3
 8590 ENT-OTHER AMUSEMENT, GAMBLING, AND RECREATION INDUSTRIES 429
 8660 ENT-TRAVELER ACCOMMODATION 77
 8670 ENT-RECREATIONAL VEHICLE PARKS AND CAMPS, AND ROOMING AND BO 12
 8680 ENT-RESTAURANTS AND OTHER FOOD SERVICES 149
 8690 ENT-DRINKING PLACES, ALCOHOLIC BEVERAGES 198
 8770 SRV-AUTOMOTIVE REPAIR AND MAINTENANCE 11
 8780 SRV-CAR WASHES 1
 8790 SRV-ELECTRONIC AND PRECISION EQUIPMENT REPAIR AND MAINTENANC 3
 8870 SRV-COMMERCIAL AND INDUSTRIAL MACHINERY AND EQUIPMENT REPAIR 2
 8880 SRV-PERSONAL AND HOUSEHOLD GOODS REPAIR AND MAINTENANCE 9
 8970 SRV-BARBER SHOPS 2
 8980 SRV-BEAUTY SALONS 12
 8990 SRV-NAIL SALONS AND OTHER PERSONAL CARE SERVICES 8
 9070 SRV-DRYCLEANING AND LAUNDRY SERVICES 1
 9080 SRV-FUNERAL HOMES, CEMETERIES AND CREMATORIES 14
 9090 SRV-OTHER PERSONAL SERVICES 146
 9160 SRV-RELIGIOUS ORGANIZATIONS 1748
 9170 SRV-CIVIC, SOCIAL, ADVOCACY ORGANIZATIONS, AND GRANTMAKING A 295
 9180 SRV-LABOR UNIONS 14
 9190 SRV-BUSINESS, PROFESSIONAL, POLITICAL AND SIMILAR ORGANIZATI 80
 9290 SRV-PRIVATE HOUSEHOLDS 3
 9370 ADM-EXECUTIVE OFFICES AND LEGISLATIVE BODIES 200
 9380 ADM-PUBLIC FINANCE ACTIVITIES 13
 9390 ADM-OTHER GENERAL GOVERNMENT AND SUPPORT 14
 9470 ADM-JUSTICE, PUBLIC ORDER, AND SAFETY ACTIVITIES 58
 9480 ADM-ADMINISTRATION OF HUMAN RESOURCE PROGRAMS 54
 9490 ADM-ADMINISTRATION OF ENVIRONMENTAL QUALITY AND HOUSING PROG 97
 9570 ADM-ADMINISTRATION OF ECONOMIC PROGRAMS AND SPACE RESEARCH 101
 9590 ADM-NATIONAL SECURITY AND INTERNATIONAL AFFAIRS 176
 9670 MIL-U.S. ARMY 0
 9680 MIL-U.S. AIR FORCE 0
 9690 MIL-U.S. NAVY 1
 9770 MIL-U.S. MARINES 0
 9780 MIL-U.S. COAST GUARD 0
 9790 MIL-U.S. ARMED FORCES, BRANCH NOT SPECIFIED 0
 9870 MIL-MILITARY RESERVES OR NATIONAL GUARD 1
 9920 UNEMPLOYED, WITH NO WORK EXPERIENCE IN THE LAST 5 YEARS. 0

Column: 932  Width: 4  Type: numeric

  • JWAP
  • Time of arrival at work

Response Categories
Category Label Frequency
 1 12:00 a.m. to 12:04 a.m. 5
 10 12:50 a.m. to 12:59 a.m. 4
 100 8:30 a.m. to 8:34 a.m. 1180
 101 8:35 a.m. to 8:39 a.m. 505
 102 8:40 a.m. to 8:44 a.m. 612
 103 8:45 a.m. to 8:49 a.m. 853
 104 8:50 a.m. to 8:54 a.m. 692
 105 8:55 a.m. to 8:59 a.m. 477
 106 9:00 a.m. to 9:04 a.m. 1308
 107 9:05 a.m. to 9:09 a.m. 468
 108 9:10 a.m. to 9:14 a.m. 546
 109 9:15 a.m. to 9:19 a.m. 580
 11 1:00 a.m. to 1:04 a.m. 6
 110 9:20 a.m. to 9:24 a.m. 426
 111 9:25 a.m. to 9:29 a.m. 197
 112 9:30 a.m. to 9:34 a.m. 542
 113 9:35 a.m. to 9:39 a.m. 185
 114 9:40 a.m. to 9:44 a.m. 245
 115 9:45 a.m. to 9:49 a.m. 374
 116 9:50 a.m. to 9:54 a.m. 271
 117 9:55 a.m. to 9:59 a.m. 162
 118 10:00 a.m. to 10:04 a.m. 421
 119 10:05 a.m. to 10:09 a.m. 220
 12 1:05 a.m. to 1:09 a.m. 2
 120 10:10 a.m. to 10:14 a.m. 197
 121 10:15 a.m. to 10:19 a.m. 210
 122 10:20 a.m. to 10:24 a.m. 170
 123 10:25 a.m. to 10:29 a.m. 67
 124 10:30 a.m. to 10:34 a.m. 190
 125 10:35 a.m. to 10:39 a.m. 58
 126 10:40 a.m. to 10:44 a.m. 85
 127 10:45 a.m. to 10:49 a.m. 73
 128 10:50 a.m. to 10:54 a.m. 66
 129 10:55 a.m. to 10:59 a.m. 27
 13 1:10 a.m. to 1:14 a.m. 3
 130 11:00 a.m. to 11:04 a.m. 120
 131 11:05 a.m. to 11:09 a.m. 54
 132 11:10 a.m. to 11:14 a.m. 63
 133 11:15 a.m. to 11:19 a.m. 59
 134 11:20 a.m. to 11:24 a.m. 53
 135 11:25 a.m. to 11:29 a.m. 17
 136 11:30 a.m. to 11:34 a.m. 61
 137 11:35 a.m. to 11:39 a.m. 19
 138 11:40 a.m. to 11:44 a.m. 37
 139 11:45 a.m. to 11:49 a.m. 36
 14 1:15 a.m. to 1:19 a.m. 1
 140 11:50 a.m. to 11:54 a.m. 21
 141 11:55 a.m. to 11:59 a.m. 14
 142 12:00 p.m. to 12:04 p.m. 66
 143 12:05 p.m. to 12:09 p.m. 28
 144 12:10 p.m. to 12:14 p.m. 47
 145 12:15 p.m. to 12:19 p.m. 35
 146 12:20 p.m. to 12:24 p.m. 30
 147 12:25 p.m. to 12:29 p.m. 14
 148 12:30 p.m. to 12:34 p.m. 42
 149 12:35 p.m. to 12:39 p.m. 11
 15 1:20 a.m. to 1:24 a.m. 2
 150 12:40 p.m. to 12:44 p.m. 30
 151 12:45 p.m. to 12:49 p.m. 33
 152 12:50 p.m. to 12:54 p.m. 27
 153 12:55 p.m. to 12:59 p.m. 9
 154 1:00 p.m. to 1:04 p.m. 52
 155 1:05 p.m. to 1:09 p.m. 32
 156 1:10 p.m. to 1:14 p.m. 26
 157 1:15 p.m. to 1:19 p.m. 37
 158 1:20 p.m. to 1:24 p.m. 28
 159 1:25 p.m. to 1:29 p.m. 15
 16 1:25 a.m. to 1:29 a.m. 2
 160 1:30 p.m. to 1:34 p.m. 42
 161 1:35 p.m. to 1:39 p.m. 21
 162 1:40 p.m. to 1:44 p.m. 25
 163 1:45 p.m. to 1:49 p.m. 23
 164 1:50 p.m. to 1:54 p.m. 31
 165 1:55 p.m. to 1:59 p.m. 14
 166 2:00 p.m. to 2:04 p.m. 42
 167 2:05 p.m. to 2:09 p.m. 27
 168 2:10 p.m. to 2:14 p.m. 34
 169 2:15 p.m. to 2:19 p.m. 28
 17 1:30 a.m. to 1:34 a.m. 3
 170 2:20 p.m. to 2:24 p.m. 20
 171 2:25 p.m. to 2:29 p.m. 15
 172 2:30 p.m. to 2:34 p.m. 49
 173 2:35 p.m. to 2:39 p.m. 12
 174 2:40 p.m. to 2:44 p.m. 28
 175 2:45 p.m. to 2:49 p.m. 49
 176 2:50 p.m. to 2:54 p.m. 45
 177 2:55 p.m. to 2:59 p.m. 16
 178 3:00 p.m. to 3:04 p.m. 56
 179 3:05 p.m. to 3:09 p.m. 30
 18 1:35 a.m. to 1:39 a.m. 3
 180 3:10 p.m. to 3:14 p.m. 32
 181 3:15 p.m. to 3:19 p.m. 51
 182 3:20 p.m. to 3:24 p.m. 33
 183 3:25 p.m. to 3:29 p.m. 14
 184 3:30 p.m. to 3:34 p.m. 50
 185 3:35 p.m. to 3:39 p.m. 13
 186 3:40 p.m. to 3:44 p.m. 28
 187 3:45 p.m. to 3:49 p.m. 32
 188 3:50 p.m. to 3:54 p.m. 31
 189 3:55 p.m. to 3:59 p.m. 22
 19 1:40 a.m. to 1:44 a.m. 1
 190 4:00 p.m. to 4:04 p.m. 52
 191 4:05 p.m. to 4:09 p.m. 30
 192 4:10 p.m. to 4:14 p.m. 34
 193 4:15 p.m. to 4:19 p.m. 43
 194 4:20 p.m. to 4:24 p.m. 29
 195 4:25 p.m. to 4:29 p.m. 8
 196 4:30 p.m. to 4:34 p.m. 54
 197 4:35 p.m. to 4:39 p.m. 21
 198 4:40 p.m. to 4:44 p.m. 22
 199 4:45 p.m. to 4:49 p.m. 40
 2 12:05 a.m. to 12:09 a.m. 9
 20 1:45 a.m. to 1:49 a.m. 1
 200 4:50 p.m. to 4:54 p.m. 29
 201 4:55 p.m. to 4:59 p.m. 18
 202 5:00 p.m. to 5:04 p.m. 53
 203 5:05 p.m. to 5:09 p.m. 22
 204 5:10 p.m. to 5:14 p.m. 49
 205 5:15 p.m. to 5:19 p.m. 36
 206 5:20 p.m. to 5:24 p.m. 32
 207 5:25 p.m. to 5:29 p.m. 12
 208 5:30 p.m. to 5:34 p.m. 78
 209 5:35 p.m. to 5:39 p.m. 11
 21 1:50 a.m. to 1:59 a.m. 5
 210 5:40 p.m. to 5:44 p.m. 18
 211 5:45 p.m. to 5:49 p.m. 31
 212 5:50 p.m. to 5:54 p.m. 36
 213 5:55 p.m. to 5:59 p.m. 13
 214 6:00 p.m. to 6:04 p.m. 66
 215 6:05 p.m. to 6:09 p.m. 24
 216 6:10 p.m. to 6:14 p.m. 32
 217 6:15 p.m. to 6:19 p.m. 39
 218 6:20 p.m. to 6:24 p.m. 35
 219 6:25 p.m. to 6:29 p.m. 11
 22 2:00 a.m. to 2:04 a.m. 6
 220 6:30 p.m. to 6:34 p.m. 88
 221 6:35 p.m. to 6:39 p.m. 15
 222 6:40 p.m. to 6:44 p.m. 36
 223 6:45 p.m. to 6:49 p.m. 48
 224 6:50 p.m. to 6:54 p.m. 27
 225 6:55 p.m. to 6:59 p.m. 13
 226 7:00 p.m. to 7:04 p.m. 57
 227 7:05 p.m. to 7:09 p.m. 14
 228 7:10 p.m. to 7:14 p.m. 23
 229 7:15 p.m. to 7:19 p.m. 34
 23 2:05 a.m. to 2:09 a.m. 0
 230 7:20 p.m. to 7:24 p.m. 36
 231 7:25 p.m. to 7:29 p.m. 8
 232 7:30 p.m. to 7:34 p.m. 44
 233 7:35 p.m. to 7:39 p.m. 15
 234 7:40 p.m. to 7:44 p.m. 17
 235 7:45 p.m. to 7:49 p.m. 21
 236 7:50 p.m. to 7:54 p.m. 14
 237 7:55 p.m. to 7:59 p.m. 5
 238 8:00 p.m. to 8:04 p.m. 28
 239 8:05 p.m. to 8:09 p.m. 16
 24 2:10 a.m. to 2:14 a.m. 3
 240 8:10 p.m. to 8:14 p.m. 12
 241 8:15 p.m. to 8:19 p.m. 16
 242 8:20 p.m. to 8:24 p.m. 17
 243 8:25 p.m. to 8:29 p.m. 5
 244 8:30 p.m. to 8:34 p.m. 18
 245 8:35 p.m. to 8:39 p.m. 10
 246 8:40 p.m. to 8:44 p.m. 9
 247 8:45 p.m. to 8:49 p.m. 17
 248 8:50 p.m. to 8:54 p.m. 12
 249 8:55 p.m. to 8:59 p.m. 11
 25 2:15 a.m. to 2:19 a.m. 2
 250 9:00 p.m. to 9:04 p.m. 20
 251 9:05 p.m. to 9:09 p.m. 10
 252 9:10 p.m. to 9:14 p.m. 9
 253 9:15 p.m. to 9:19 p.m. 14
 254 9:20 p.m. to 9:24 p.m. 15
 255 9:25 p.m. to 9:29 p.m. 8
 256 9:30 p.m. to 9:34 p.m. 15
 257 9:35 p.m. to 9:39 p.m. 4
 258 9:40 p.m. to 9:44 p.m. 5
 259 9:45 p.m. to 9:49 p.m. 9
 26 2:20 a.m. to 2:24 a.m. 1
 260 9:50 p.m. to 9:54 p.m. 6
 261 9:55 p.m. to 9:59 p.m. 10
 262 10:00 p.m. to 10:04 p.m. 5
 263 10:05 p.m. to 10:09 p.m. 10
 264 10:10 p.m. to 10:14 p.m. 4
 265 10:15 p.m. to 10:19 p.m. 11
 266 10:20 p.m. to 10:24 p.m. 4
 267 10:25 p.m. to 10:29 p.m. 4
 268 10:30 p.m. to 10:34 p.m. 13
 269 10:35 p.m. to 10:39 p.m. 8
 27 2:25 a.m. to 2:29 a.m. 1
 270 10:40 p.m. to 10:44 p.m. 1
 271 10:45 p.m. to 10:49 p.m. 9
 272 10:50 p.m. to 10:55 p.m. 9
 273 10:55 p.m. to 10:59 p.m. 2
 274 11:00 p.m. to 11:04 p.m. 7
 275 11:05 p.m. to 11:09 p.m. 3
 276 11:10 p.m. to 11:14 p.m. 4
 277 11:15 p.m. to 11:19 p.m. 6
 278 11:20 p.m. to 11:24 p.m. 6
 279 11:25 p.m. to 11:29 p.m. 2
 28 2:30 a.m. to 2:34 a.m. 3
 280 11:30 p.m. to 11:34 p.m. 2
 281 11:35 p.m. to 11:39 p.m. 4
 282 11:40 p.m. to 11:44 p.m. 0
 283 11:45 p.m. to 11:49 p.m. 4
 284 11:50 p.m. to 11:54 p.m. 2
 285 11:55 p.m. to 11:59 p.m. 2
 29 2:35 a.m. to 2:39 a.m. 1
 3 12:10 a.m. to 12:14 a.m. 8
 30 2:40 a.m. to 2:44 a.m. 2
 31 2:45 a.m. to 2:49 a.m. 4
 32 2:50 a.m. to 2:54 a.m. 2
 33 2:55 a.m. to 2:59 a.m. 1
 34 3:00 a.m. to 3:04 a.m. 4
 35 3:05 a.m. to 3:09 a.m. 3
 36 3:10 a.m. to 3:14 a.m. 8
 37 3:15 a.m. to 3:19 a.m. 3
 38 3:20 a.m. to 3:24 a.m. 2
 39 3:25 a.m. to 3:29 a.m. 9
 4 12:15 a.m. to 12:19 a.m. 6
 40 3:30 a.m. to 3:34 a.m. 10
 41 3:35 a.m. to 3:39 a.m. 5
 42 3:40 a.m. to 3:44 a.m. 8
 43 3:45 a.m. to 3:49 a.m. 6
 44 3:50 a.m. to 3:54 a.m. 12
 45 3:55 a.m. to 3:59 a.m. 6
 46 4:00 a.m. to 4:04 a.m. 19
 47 4:05 a.m. to 4:09 a.m. 17
 48 4:10 a.m. to 4:14 a.m. 11
 49 4:15 a.m. to 4:19 a.m. 27
 5 12:20 a.m. to 12:24 a.m. 8
 50 4:20 a.m. to 4:24 a.m. 19
 51 4:25 a.m. to 4:29 a.m. 6
 52 4:30 a.m. to 4:34 a.m. 21
 53 4:35 a.m. to 4:39 a.m. 18
 54 4:40 a.m. to 4:44 a.m. 18
 55 4:45 a.m. to 4:49 a.m. 29
 56 4:50 a.m. to 4:54 a.m. 29
 57 4:55 a.m. to 4:59 a.m. 23
 58 5:00 a.m. to 5:04 a.m. 53
 59 5:05 a.m. to 5:09 a.m. 32
 6 12:25 a.m. to 12:29 a.m. 0
 60 5:10 a.m. to 5:14 a.m. 32
 61 5:15 a.m. to 5:19 a.m. 52
 62 5:20 a.m. to 5:24 a.m. 45
 63 5:25 a.m. to 5:29 a.m. 23
 64 5:30 a.m. to 5:34 a.m. 90
 65 5:35 a.m. to 5:39 a.m. 46
 66 5:40 a.m. to 5:44 a.m. 63
 67 5:45 a.m. to 5:49 a.m. 117
 68 5:50 a.m. to 5:54 a.m. 106
 69 5:55 a.m. to 5:59 a.m. 83
 7 12:30 a.m. to 12:39 a.m. 3
 70 6:00 a.m. to 6:04 a.m. 186
 71 6:05 a.m. to 6:09 a.m. 97
 72 6:10 a.m. to 6:14 a.m. 121
 73 6:15 a.m. to 6:19 a.m. 145
 74 6:20 a.m. to 6:24 a.m. 163
 75 6:25 a.m. to 6:29 a.m. 109
 76 6:30 a.m. to 6:34 a.m. 298
 77 6:35 a.m. to 6:39 a.m. 148
 78 6:40 a.m. to 6:44 a.m. 188
 79 6:45 a.m. to 6:49 a.m. 304
 8 12:40 a.m. to 12:44 a.m. 2
 80 6:50 a.m. to 6:54 a.m. 342
 81 6:55