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Codebook

Data Analysis Tools

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

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

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

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.

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

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

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.

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

NEA Research View...

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

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.