Current Population Survey 2021 ASEC Supplement Technical Documentation — U.S. Census Bureau
Summary
The technical documentation for the Current Population Survey 2021 Annual Social and Economic (ASEC) Supplement, conducted by the Bureau of the Census for the Bureau of Labor Statistics and produced by the U.S. Census Bureau in 2021. The supplement adds data on work experience, income, noncash benefits and migration to the usual monthly labor force data. Its universe is the civilian noninstitutional population living in housing units, plus members of the Armed Forces living off post or with their families on post. The file lists 90,759 household, 73,151 family and 163,543 person records. The documentation covers matching of March CPS files, differences between the 2020 and 2021 ASEC files, a data dictionary, a glossary and appendices of industry, occupation and metropolitan codes.
Summary drafted by a model from the document's text below and checked by script against that text before publication. It is a navigation aid, not a reading of what the document proves. Where AI is used
- Issuer
- Source documents
- Document type
- Ntiality Protection Sampling Error Nonsampling Error And Definitions Is Available At Https
- Case
- Ntiality Protection Sampling Error Nonsampling Error And Definitions Is Available At Https Www2 Census Gov Programs Surv
Cite this document
“Current Population Survey 2021 ASEC Supplement Technical Documentation — U.S. Census Bureau.”
Original at www2.census.gov. Archived at Pandemic Darlings, https://pandemicdarlings.com/source-documents/ntiality-protection-sampling-error-nonsampling-error-and-definitions-is-available-at-https-www2-census-gov-programs-surv/
, SHA-256 6ceb33c160cec9ae8ddbe4fa39d4f96b82044c7e37f70a082824d0edce9af359.Full text
Full text shows the first 300 of 387 pages; the complete document is the PDF above.
TABLE OF CONTENTS
Current Population Survey
2021 Annual Social and Economic (ASEC) Supplement
Abstract ..................................................................................................................................................1-1
Overview .................................................................................................................................................2-1
Matching of March CPS Files ...............................................................................................................3-1
Differences Between the 2020 and 2021 ASEC Files..........................................................................4-1
How to Use the Data Dictionary ...........................................................................................................5-1
Data Dictionary ......................................................................................................................................6-1
Glossary .................................................................................................................................................7-1
Appendices
Appendix A – Industry Classification
Industry Classification Codes for Detailed Industry (4-digit)................................................................ A-1
Detailed Industry Recodes (01-52).................................................................................................... A-10
Major Industry Recodes (01-14) ........................................................................................................ A-12
Appendix B – Occupational Classification
Occupational Classification Codes for Detailed Occupational Categories (4-digit) ............................. B-1
Detailed Occupation Recodes (01-23) .............................................................................................. B-13
Major Occupation Group Recodes (01-11) ....................................................................................... B-14
Appendix C – Table of Weighted and Unweighted Counts from the 2021 CPS ASEC ................... C-1
Appendix D – Facsimile of ASEC Supplement Questionnaire ......................................................... D-1
Appendix E – Specific Metropolitan Identifiers
List 1: FIPS Metropolitan Area (CBSA) Codes .................................................................................... E-2
List 2: FIPS Consolidated Statistical Area (CSA) Codes..................................................................... E-8
List 3: Individual Principle Cities ........................................................................................................ E-13
List 4: FIPS County Code .................................................................................................................. E-18
Appendix F – Record Layouts ............................................................................................................. F-1
Appendix G – Source and Accuracy Statement................................................................................. G-1
Appendix H – Countries and Areas of the World
List A: Numerical List .......................................................................................................................... H-1
List B: Alphabetical List ....................................................................................................................... H-3
Appendix I – Historical File Information…………………………………………………………………..…I-1
Appendix J – User Notes ......................................................................................................................J-1
-i-
ABSTRACT
Current Population Survey, 2021 Annual Social and Economic
(ASEC) Supplement conducted by the Bureau of the Census for
the Bureau of Labor Statistics. – Washington: U.S. Census
Bureau [producer and distributor], 2021.
TYPE OF FILE statistical areas (CSA), 280 counties, and 40 central
cities in multi-central city core-based statistical areas
Microdata; unit of observation is individuals, or combined statistical areas. Also within
families, and households. confidentiality restrictions, indicators are provided
for metropolitan/nonmetropolitan, central
UNIVERSE DESCRIPTION city/balance metropolitan, and CBSA size.
The universe is the civilian noninstitutional TECHNICAL DESCRIPTION
population of the United States living in housing
units and members of the Armed Forces living off File Structure: Hierarchical, Rectangular, Column-
post or living with their families on post, as long as at delimited
least one civilian adult lives in the same household.
A probability sample is used in selecting housing File Size:
units. Record Type Record Number
Household (SAS/CSV) 90,759
SUBJECT-MATTER DESCRIPTION Family (SAS/CSV) 73,151
Person (SAS/CSV) 163,543
This Annual Social and Economic (ASEC) ASCII (DAT) 327,453
Supplement provides the usual monthly labor force
data, but in addition, provides supplemental data on
work experience, income, noncash benefits, and REFERENCE MATERIAL
migration. Comprehensive work experience
information is given on the employment status, Current Population Survey, 2021 ASEC Technical
occupation, and industry of persons 15 years old and Documentation. The documentation includes this
over. Additional data for persons 15 years old and abstract, pertinent information about the file, a
older are available concerning weeks worked and glossary, code lists, and a data dictionary.
hours per week worked, reason not working full time,
total income and income components. Data on For information about the Current Population Survey
employment and income refer to the preceding year, and other Census Bureau data products, be sure to
although demographic data refer to the time of the visit our online Question & Answer Center on the
survey. Census Bureau’s home page at
http://www.census.gov/ where you can search our
This file also contains data covering nine noncash knowledge base and submit questions.
income sources: food stamps, school lunch program,
employer-provided group health insurance plan, RELATED PRINTED REPORTS
employer-provided pension plan, personal health
insurance, Medicaid, Medicare, or military health Data from the ASEC Current Population Survey’s
care, and energy assistance. Characteristics such as file are published most frequently in the Current
age, sex, race, household relationship, and Hispanic Population Reports P-20 and P-60 series. In addition,
origin are shown for each person in the household the following associated reports and tables have also
enumerated. been cleared for release: Income and Poverty,
Health Insurance, Supplemental Poverty Measure,
GEOGRAPHIC COVERAGE and Migration.
These reports can be accessed at
States, regions and divisions are identified in their https://www.census.gov/library/publications.html.
entirety. Within confidentiality restrictions;
indicators are provided for 260 selected core-based
statistical areas (CBSA), 44 selected combined
ABSTRACT 1-1
FILE AVAILABILITY
The files are available on the internet via several
ways. The files may be accessed by going to the Data
section of the main CPS website, located here -
https://www.census.gov/programs-surveys/cps/data.html.
Additionally, for custom tabulations and extracts of
CPS microdata, our Data Tools Site contains two
platforms to assist you in this process. Visit the
following hyperlink to access the Data Tools Site.
https://www.census.gov/programs-surveys/cps/data/data-
tools.html.
For more information contact dsd.cps@census.gov.
CONFIDENTIALITY
The microdata files were approved for release by the
Census Bureau’s Disclosure Review Board (DRB).
CBDRB-FY21-280
The DRB supports the Data Stewardship Executive
Policy Committee (DSEP) in its efforts to protect
Title 13 respondent confidentiality by proposing
protection policies and methodologies, and reviewing
external products such as microdata and tabulation
releases for potential disclosure. The DRB
coordinates activities that inform decisions made to
protect confidentiality through data collection,
linking, and dissemination.
1-2 ABSTRACT
OVERVIEW
Current Population Survey
Introduction
The Current Population Survey (CPS) is the source of Thus, the CPS is the only source of monthly estimates of
the official Government statistics on employment and total employment (both farm and nonfarm);
unemployment. The CPS has been conducted monthly nonfarm self-employed persons, domestics, and unpaid
for over 50 years. Currently, we interview about 54,000 workers in nonfarm family enterprises; wage and salary
households monthly, scientifically selected on the basis employees; and, finally, estimates of total
of area of residence to represent the nation as a whole, unemployment.
individual states, and other specified areas. Each
household is interviewed once a month for four It provides the only available distribution of workers by
consecutive months one year, and again for the the number of hours worked (as distinguished from
corresponding time period a year later. This technique aggregate or average hours for an industry), permitting
enables us to obtain month-to-month and year-to-year separate analyses of part-time workers, workers on
comparisons at a reasonable cost while minimizing the overtime, etc. The survey is also the only
inconvenience to any one household. comprehensive current source of information on the
occupation of workers and the industries in which they
Although the main purpose of the survey is to collect work. Information is available from the survey not only
information on the employment situation, a very for persons currently in the labor force but also for those
important secondary purpose is to collect information on who are outside the labor force. The characteristics of
the demographic status of the population, information such persons, whether married women with or without
such as age, sex, race, marital status, educational young children, disabled persons, students, older retired
attainment, and family structure. From time to time workers, etc., can be determined. Information on their
additional questions are included on such important current desire for work, their past work experience, and
subjects as health, education, income, and previous work their intentions for job seeking are also available.
experience. The statistics resulting from these questions
serve to update similar information collected once every The Annual Social and Economic (ASEC) Supplement
10 years through the decennial census, and are used by contains the basic monthly demographic and labor force
government policymakers and legislators as important data described above, plus additional data on work
indicators of our nation's economic situation and for experience, income, noncash benefits, health insurance
planning and evaluating many government programs. coverage, and migration.
The CPS provides current estimates of the economic CPS Sample
status and activities of the population of the United
States. Because it is not possible to develop one or two The CPS sample is based on the civilian noninstitutional
overall figures (such as the number of unemployed) that population of the United States. The sample is located
would adequately describe the labor market, the CPS is in approximately 826 sample areas comprising 1,328
designed to provide a large amount of detailed and counties and independent cities with coverage in every
supplementary data. Such data are made available to State and in the District of Columbia.
meet a wide variety of needs on the part of users of labor
market information. In all, some 70,000 housing units or other living quarters
are assigned for interview each month; about 50,000 of
them containing approximately 100,000 persons 15
years old and over are interviewed. Also included are
OVERVIEW 21
demographic data for approximately 22,000 children 0- Bureau of the Census in October, 1976, and entitled
14 years old and 400 Armed Forces members living with Concepts and Methods Used In Labor Statistics derived
civilians either on or off base within these households. from the Current Population Survey.
The remainder of the assigned housing units are found to
be vacant, converted to nonresidential use, contain
persons with residence elsewhere, or are not interviewed Questionnaire
because the residents are not found at home after
repeated calls, are temporarily absent, or are unavailable Questionnaire facsimiles of the 2021 ASEC Supplement
for other reasons. Approximately 20,000 noninterview are shown in Appendix D in this documentation.
households are present each month. The resulting file
size is approximately 142,000 records.
Revisions to the ASEC Processing System
Whether living on or off post, male and female members
of the armed forces are included in the ASEC as long as Starting in 2019
at least one civilian adult lives in the same household. Demographic edit changes
The armed forces members, however, are not asked the Redesigned questions for income and health
monthly labor force questions. In addition, the ASEC is insurance coverage
supplemented with a sample of Hispanic households
identified the previous November. This results in the
addition of about 6,000 households (4,500 interviewed). File Structure
The inclusion of the additional sample of Hispanic
households began in 1976. Historically, CPS ASEC data have always been
provided only in a single ASCII file that included all
In 2002, the ASEC incorporated a significant sample three record types (household, family, and person).
expansion. The sample was expanded primarily to However, beginning in 2019, CSV and SAS files were
improve state estimates of children’s health insurance also made available, with each being split into three
coverage. This sample expansion, known as the CHIP separate files (one file for each of the three record
sample, has three components: 1) Asking the ASEC types).
Supplement questions of one-quarter of the February
and April CPS samples, that is, of the households not For the ASCII file, a description of the file structure
also included in the March sample; 2) Interviewing follows below. It applies only to the ASCII file, not the
selected sample households from the preceding August CSV or SAS files.
through November CPS sample during the February-
April period using the ASEC Supplement; and 3) There is a household record for each household or group
Increasing the monthly CPS sample in states with high quarters. The household record is followed by one of
sampling errors for uninsured children. This sample three possible structures:
increase results in the addition of about 19,000
households to the ASEC. Adding together the regular A. If the household contains related persons and is not a
sample (70,000), plus the Hispanic sample (6,000), plus group quarters household:
the CHIP sample (19,000), we arrive at the total sample
size for the ASEC of about 95,000 households. 1. The family record appears next followed by
person records for members of the family
A more precise explanation regarding the CPS sample who are not also members of a related
design is provided in Technical Paper 77, The Current subfamily. The person records would be
Population Survey: Design and Methodology. ordered: family householder, spouse of
family householder, children in the family,
For a more detailed discussion about the basic labor and other relatives of the family
force data gathered on a monthly basis in the CPS householder.
survey, see the Bureau of Labor Statistics Report No.
463 and the Current Population Report P-23, No. 62,
issued jointly by the Bureau of Labor Statistics and the
22 OVERVIEW
2. The above records may be followed by one 1. The family record for persons living with
or more related subfamily records, each nonrelatives is followed immediately by the
related subfamily record being followed person record for that person living with
immediately by person records for members nonrelatives.
of that related subfamily. The person
records would be ordered: reference person 2. These records may be followed by one or
of the related subfamily, spouse of more unrelated subfamily records, each
subfamily reference person, and children of unrelated subfamily record being followed
subfamily reference person. immediately by the person records for
members of that unrelated family.
3. The above records may be followed by one
or more unrelated subfamily records, each
unrelated subfamily record being followed Relationship of Current Population Survey
immediately by person records for members Files to Publications
of that unrelated subfamily. The person
records would be ordered: unrelated Each month, a significant amount of information about
subfamily reference person, spouse of the labor force is published by the Bureau of Labor
subfamily reference person, and children of Statistics in the Employment and Earnings and Monthly
subfamily reference person. Labor Review Reports.
4. The above records may be followed by one As mentioned previously, the CPS also serves as a
or more persons living with nonrelatives vehicle for supplemental inquiries on subjects other than
family records, each to be followed by the employment which are periodically added to the
person record for the unrelated individual it questionnaire. From the basic and supplemental data,
represents. (See Figure 1, page 2-5.) the Census Bureau issues four series of publications
under the general title Current Population Reports:
B. If the household contains a householder with no
relatives and is not a group quarters household: P-20 Population Characteristics
P-23 Special Studies
1. The family record for the nonfamily
householder is followed immediately by the P-60 Consumer Income
person record for that nonfamily
householder. Of particular interest to users of the ASEC microdata
file would be those reports based on information
2. These records may be followed by one or collected in the ASEC. These reports include the
more unrelated subfamily records, each following titles:
unrelated subfamily record being followed
immediately by the person records for P-60 Income and Poverty in the United States:
members of that unrelated subfamily. (Year)
P-60 Health Insurance Coverage in the United
3. These records may be followed by one or States: (Year)
more family records for persons living with P-60 Supplemental Poverty Measure: (Year)
nonrelatives, each person living with
nonrelatives family record being followed All Current Population Reports are available online at
immediately by the person record for that https://www.census.gov/library/publications.html
person living with nonrelatives. (See Figure
2, page 2-6.)
C. If the household is Group Quarters:
OVERVIEW 23
Figure 1. Illustration of Record Sequence for Households Containing a Family.
Household Record
Family Record
Person 1 (Householder) Record
Person 2 (Spouse) Record
.
.
.
.
Person n (Family Member)
Family (Related Subfamily Record)
Person 1 (Related Subfamily Reference Person) Record
Person 2 (Spouse) Record
.
.
.
.
Person n (Related Subfamily Member) Record
Family (Unrelated Subfamily) Record
Person 1 (Unrelated Subfamily Reference Person) Record
Person 2 (Spouse) Record
.
.
.
.
Person n (Unrelated Subfamily Member) Record
Family (Persons Living With Nonrelatives) Record
Person 1 (Person Living With Nonrelatives) Record
24 OVERVIEW
Figure 2. Illustration of Record Sequence for Households Containing a Nonfamily
Householder.
Household Record
Family (Nonfamily Householder) Record
Person (Nonfamily Householder) Record
Family (Unrelated Subfamily) Record
Person 1 (Unrelated Subfamily Reference Person) Record
Person 2 (Spouse) Record
.
.
.
.
.
Person n (Unrelated Subfamily Member) Record
Family (Person Living With Nonrelatives) Record
Person (Persons Living With Nonrelatives) Record
Figure 3. Illustration of Record Sequence for Group Quarters.
Household Record
Family (Persons Living With Nonrelatives) Record
Person (Persons Living With Nonrelatives) Record
Family (Unrelated Subfamily) Record
Person1 Record
Person 2 Record
.
.
.
.
Person n Record
OVERVIEW 25
Geographic Limitations
One set of estimates that can be produced from CPS The final weight, which is the product of several
microdata files should be treated with caution. These adjustments, is used to produce population estimates
are estimates for individual metropolitan areas. for the various items covered in the regular monthly
Although estimates for the larger areas such as New CPS. This weight is constructed from the basic weight
York, Los Angeles, and so forth, should be fairly for each person, which represents the probability of
accurate and valid for a multitude of uses, estimates for selection for the survey. The basic weight is adjusted
the smaller metropolitan areas (those with populations for special sampling situations and failure to obtain
under 500,000) should be used with caution because of interviews from eligible households (noninterview
the relatively large sampling variability associated with adjustment). A two-stage ratio estimation procedure
these estimates. For these areas, estimates comparing adjusts the sample population to the known distribution
percent distributions and ratios will provide data with of the entire population. This two-stage ratio
less sampling variability than estimates of levels will. estimation process produces factors which are applied
to the basic weight (after the special weighting and
It should be kept in mind that the sample design and noninterview adjustments are made) and results in the
methods of weighting CPS data are geared towards final weight associated with each record. In summary,
producing estimates for the entire nation. the final weight is the product of: (1) the basic weight,
Consequently, data for states are not as reliable as (2) adjustments for special weighting, (3) noninterview
national data, and the file will lose some of its utility in adjustment, (4) first stage ratio adjustment factor, and
certain applications. For further discussion of such (5) second stage ratio adjustment factor. This final
considerations, the user should consult The Current weight should be used when producing estimates from
Population Survey: Design and Methodology the basic CPS data.
(Technical Paper 77, U.S. Bureau of the Census).
Differences in the questionnaire, sample and data uses
The nature of the work done by each individual for the CPS ASEC Supplement result in the need for
investigator using the microdata file will determine to additional adjustment procedures to produce the ASEC
what extent his/her requirements for precision will Supplement weight. The sample for the CPS ASEC
allow using some of the smaller geographic areas Supplement is expanded to include members of the
identified on the file. Armed Forces who are living in civilian housing or
with the family on a military base, as well as additional
Weights Hispanic households which are not included in the
monthly labor force estimates, and children who live in
For all CPS data files a single weight is prepared and low-income families and lack health insurance.
used to compute the monthly labor force status
estimates. The difference in content of the CPS ASEC The expanded sample and the need to have married and
Supplement requires the presentation of additional cohabitating couples receive the same weight has
weights: a supplement household weight, a resulted in a weighting system which produces the
supplement family weight, and a supplement person supplement weight. The supplement weight should be
weight. In this section we briefly describe the used for producing estimates from ASEC Supplement
construction and use of these weights. Chapter 2-3 of data.
Technical paper 77, The Current Population Survey:
Design and Methodology provides documentation of Finally, household and family weights are the weights
the weighting procedures for the CPS both with and assigned from the householder or reference person
without supplement questions. after all adjustments have been made and should be
used when tabulating estimates of families-households.
26 OVERVIEW
MATCHING OF CPS ASEC FILES
Matching ASEC Files Across Years
There are two basic limitations in linking the CPS ASEC files across years. First, only fifty percent of the sample is
included in two consecutive years. Second, the residents within the eligible housing units may have changed or
appeared as noninterview records in one or both years. The result is a matched sample of considerably less than the
upper limit of fifty percent. The basic procedures and variables used to link two or more March CPS files are outlined
below.
Sample Selection
The first step in matching year t with year t+1 is to select from year-t those housing units with a "month in
sample" value of 1 through 4, and from year t+1 those units with a "month in sample" value of 5 through 8.
This will identify the sample subset eligible for matching. Within this subset, housing units in year t, month 1
will match only with units in year t+1, month 5, etc.
Matching Housing Units
Using one or more variables, it is possible to uniquely identify each housing unit in each sample rotation.
However, because of changes in CPS procedures, the available information for matching housing units is
not always identical. Below are the variables available for matching March CPS files.
Year Identifiers
1986 – 1993 HHIDNUM
1994 – 2001* H-MIS H-IDNUM
2002 – 2004 H-IDNUM H-HHNUM
2005 – 2018 H-IDNUM1 H-IDNUM2
2019 – present H_IDNUM
*Matching between 1995 and 1996 is not possible because the March 1996 file is based entirely on the
1990 Census design sample.
MATCHING OF MARCH CPS FILES 3-1
Matching Person Records
If you wish to link not only the household information, but the person data as well, follow the procedure
above, but add one or more variables to uniquely identify a person.
Year Identifiers
Before 1994 A_LINENO Demographic
Variables*
1994 – 2004 A_LINENO
*Prior to 1994, additional checks are needed to match person records across time. The specific variables
used to match residents will vary according to the needs of the project, but it is more efficient to arrange
the matching in a hierarchical sequence. For example, matching on sex, race and line number should
precede matching on age or household relationship. The data user should carefully work through the
possible changes in household structure that might result in an inappropriate rejection of a household.
For 2005 forward, one variable may be used by itself instead of adding it to the household identifiers.
PERIDNUM is the only identifier needed for linking persons in files from 2005 onward.
Matching ASEC Household, Family, and Person Files for a Single Year
ID'ing Persons within a Household
To uniquely identify persons within a household, use PH_SEQ and PPPOS on the person
file. Match PH_SEQ to H_SEQ on the household file, to link the persons to the household. PPPOS is the
person id within each household.
For example, match PH_SEQ = 12345 to H_SEQ = 12345, and then use PPPOS, which will have values of
01, 02, ...16, to identify each person.
ID'ing Persons within a Family
To uniquely identify persons within a family, use PH_SEQ and PF_SEQ on the person
file. Match PH_SEQ to FH_SEQ on the family file, to link the persons to the household. Then, match
PF_SEQ on the Person file to FFPOS on the family file. FFPOS is the unique family id within each
household.
For example, match PH_SEQ = 12345 to FH_SEQ = 12345, and then use PF_SEQ, which will have values
of 01, 02, ...16. Each person with PF_SEQ= 01 will be in a unique family, each person with PF_SEQ= 02
will be in a unique family, and so on.
ID'ing Families within a Household
To uniquely identify families within a household, use FH_SEQ and FFPOS on the family
file. Match FH_SEQ to H_SEQ on the household file, to link the families to the household. FFPOS is the
unique family id within each household.
3-2 MATCHING OF MARCH CPS FILES
For example, match FH_SEQ = 12345 to H_SEQ = 12345, and then use FFPOS, which will have values of
01, 02, ...16, to uniquely identify the family.
Matching ASEC Files to Non-ASEC Files
Sometimes, there’s a need to link an ASEC (or “March supplement”) file to a non-ASEC file. Follow the match-
keys below to match households pertaining to the year the survey was conducted.
Matching Housing Units
For the ASEC file:
Year Identifiers
1994 – 2004 H_IDNUM H_HHNUM
2005 – 2018 H_IDNUM1 H_IDNUM2
2019 – present H_IDNUM*
*Concatenate HRHHID and HRHHID2 on the non-ASEC file to match to H_IDNUM on the
ASEC file.
For the Non-ASEC File:
Month &Year
Jan, 1994 – April 2004* HRHHID HUHHNUM
May 2004 – present HRHHID HRHHID2
*
For files ranging between April 1994 and June 1995, you must add the state code (‘GESTCEN’) to
the list of identifiers to uniquely identify households. Due to the phase-in of the 1990 sample, a
small number of households will share the same identifier unless adding this code.
Matching Person Records
If you desire to link not only the household information, but the person data as well, follow the procedure
above, but add one or more variables to uniquely identify a person.
For non-March files, add PULINENO.
For March/ASEC files between 1994 and 2004, add A_LINENO. For 2005 forward, one variable may be
used by itself instead of adding it to the household identifiers. PERIDNUM is the only identifier needed for
linking persons in files from 2005 onward.
3-3 MATCHING OF MARCH CPS FILES
DIFFERENCES
Differences between the 2021 and 2020 ASEC Files
1. Every five years the CPS includes five-year migration questions along with the one-year
migration questions. The 2020 ASEC person record contained the five-year items. These items
were removed for 2021.
2. There are two additional variables containing information about the Economic Impact
Payments sent out in 2020. See page 6C-31 of this document for information about
EIP_CRD. See page 6C-66 of this document for information about SPM_EIP.
3. The top value for energy assistance amount (HENGVAL and SPM_ENGVAL) has increased
from 5,000 to 10,000. This also increases the length of the variable on the ASCII version of
the file.
4. Both ED_VAL and FEDTAX_AC increased in length on the ASCII version of the file.
5. Values for variable PEINUSYR are updated every year to reflect the most recent year of the
survey. In odd years (2015, 2017, 2019, etc.), only the largest value changes. In even years,
the largest value also changes, but a new value is also appended. Please refer to the current
year data dictionary for the latest values.
Description of Method for Topcoding Income and Related Variables
The 2021 ASEC public use data file uses a method that swaps values between sample cases
having incomes above a determined topcode value. This method of topcoding preserves the
distribution of values above the topcode while maintaining adequate disclosure avoidance.
The technique used for swapping values is termed “rank proximity swapping”. Once the topcode
has been established, some persons with value above the topcode cutoff are sorted by those
values from lowest to highest (values equal to the specified topcode are included in the universe
of those requiring topcoding). Next, the values above the topcode are systematically swapped
between sample persons. The swapping occurs within a bounded interval. This bounded interval
assures that the values swapped are in “proximity” to each other, yet providing a sufficiently
large group of persons from which the swap partners are selected. The Rank Proximity
Swapping tables below show the topcode cutoff amount for the various sources.
The use of swapping techniques is accompanied by the procedure to round the swapped amounts.
All topcoded amounts included on the public use must be rounded to two significant digits (i.e.
$987,654=$990,000; $12,345=$12,000; $9,870=$9,900; rounded values will never exceed the
maximum value on the file, i.e. $999,999=$999,999).
DIFFERENCES 4-1
Rank Proximity Swapping
Threshold Amounts for Earnings and Income Fields
Income Source Swap Threshold 1
ANN_VAL $72,000
CAP_VAL $75,000
CHSP_VAL $30,000
CSP_VAL $20,400
DIS_VAL1 $50,000
DIS_VAL2 $50,000
DIV_VAL $39,000
DST_VAL1 $90,000
DST_VAL2 $90,000
DST_VAL1_YNG $100,000
DST_VAL2_YNG $100,000
ED_VAL $40,000
ERN_VAL $350,000
FIN_VAL $60,000
FRM_VAL $70,000
TRDINT_VAL $10,000
RINT_VAL1 $41,000
RINT_VAL2 $41,000
OI_VAL $58,000
RNT_VAL $80,000
SE_VAL $100,000
SUR_VAL1 $100,000
SUR_VAL2 $100,000
PEN_VAL1 $84,000
PEN_VAL2 $84,000
WS_VAL $65,000
Threshold Amounts for SPM Fields
Income Source Swap Threshold1
PHIP_VAL $15,000
PEMCPREM $4,512
PHIP_VAL2 $15,000
PMED_VAL $10,000
POTC_VAL $2,000
1
Values swapped are equal to, and above, this value.
4-2 DIFFERENCES
Masking of Income Affects Recode Variables
All combined income recodes on the data file are created after swapping (or masking) is
performed. This means, for example, that one’s total income amount may include a masked
amount among the income sources in the calculation. Therefore, the total income amount may
seem high when analyzing family poverty ratios. Be careful when analyzing poverty data where
masked income amounts appear.
DIFFERENCES 4-3
HOW TO USE THE DATA DICTIONARY
The data dictionary describes the contents and record Accordingly, HRECORD is described as follows:
layout of the public-use data file. It is split into three
major sections, one for each record type (Household, Length=1 means that HRECORD takes up only one
Family, and Person). Within each section, variables character on the data file.
are grouped by Topic and Subtopic.
Position=1 means that HRECORD can always be found
Variables in the data dictionary are described by: in the first column of the data file for all household
records.
Descriptor Description
Variable name. Variable names are Range=(1:1) means that the values for HRECORD can
Variable range from 1 to 1. In other words, HRECORD will
unique throughout the entire data file.
The length of a variable is given in always equal 1. This can also be verified by looking at
Length the values description.
number of characters.
Starting position (location) of the
Position Values: 1=Household Record. HRECORD=1 identifies
variable on the ascii data file.
Range Range of values the variable can hold. the current record as a household record. This is
Description Brief description of the variable. convenient when using the ASCII file since it contains
Brief description of each value the all three record types (household, family, and person).
Values SAS tables are already separated by record type, so
variable can hold.
Universe Description of the variable’s universe. HRECORD is not as critical to use in this case.
For example, the variable HRECORD is the first The universe for HRECORD is all households, which
variable found on the data dictionary, and appears like means every household will have HRECORD=1. This
so: agrees with the fact that HRECORD=1 identifies a
record as a housing record.
How to Distinguish ASEC Supplement
Variables from the Basic CPS Monthly
Variables
With a few exceptions, Basic CPS monthly variables have
a prefix and/or a suffix as follows:
Record Type Prefix/Suffix
Household H_ or H1
Family records do not contain any Basic
Family CPS monthly variables.
Person A_, AX, PE, PR, or PX
Supplement variables are either all one string or have a
suffix. For example, HFIN_YN is a supplement variable
on the household record.
HOW TO USE THE DATA DICTIONARY 5-1
ASEC 2021 Public Use Data Dictionary
Record Type: Household
Variable Length Position Range Variable Length Position Range
Topic: Record Identifiers Topic: Geography
SubTopic: Record Type SubTopic: Geography
HRECORD 1 1 (1:1) GEDIV 1 42 (0:9)
Record Type. Used to identify records on ascii file. Recode - Census division of current residence
Values: 1 = HOUSEHOLD RECORD Values: 1 = New England
Universe: All Households 2 = Middle Atlantic
3 = East North Central
4 = West North Central
SubTopic: Match Keys 5 = South Atlantic
6 = East South Central
FILEDATE 6 2 () 7 = West South Central
8 = Mountain
File creation date in MMDDYY format 9 = Pacific
Values: Date Universe: All Households
Universe: All records
GEREG 1 43 (1:4)
H_HHNUM 1 8 (1:8) Region
Household number. Identifier for unique set of residents located at Values: 1 = Northeast
this sample address. If this group changes between months in 2 = Midwest
sample, household number is incremented by 1. 3 = South
Values: 1-8 = Household number 4 = West
Universe: All Households Universe: All Households
20 9 (NA) GESTFIPS 2 44 (1:56)
H_IDNUM
Household id number. Same as characters 1-20 of PERIDNUM. State FIPS code
Values: ID Number Values: 01-56 State code
Universe: All households Universe: All Households
5 29 (00001:99999) GTCBSA 5 46 (00000:79600)
H_SEQ
Household sequence number Metropolitan CBSA FIPS CODE
Values: 00001- 99999=Household sequence number Values: 0000 = Non-met or not identified
00460 - 79600 = CBSA code
Universe: All Households
Universe: All Households
Topic: Weights GTCBSAST 1 51 (1:4)
SubTopic: ASEC Supplement Principal city/Balance status
HSUP_WGT 8 34 (00000000:999999999) Values: 1 = Principal city
2 = Balance of CBSA
ASEC Supplement Final Weight 3 = Non CBSA
4 = Not identified
Values: 2 implied decimals (example: 255212=2552.12) Universe: All Households
Universe: H_HHTYPE = 1
Data Dictionary 6A-1
Record Type: Household
Variable Length Position Range Variable Length Position Range
GTCBSASZ 1 52 (0:7) H_LIVQRT 2 62 (01:12)
Metropolitan area (CBSA) size Type of living quarters (recode)
Values: 0 = Not identified or nonmetropolitan Values: Housing unit
2 = 100,000 - 249,999 01 = House, apt., flat
3 = 250,000 - 499,999 02 = HU in nontransient hotel, etc.
4 = 500,000 - 999,999 03 = HU, perm, in trans. hotel, motel, etc.
5 = 1,000,000 - 2,499,999 04 = HU in rooming house
6 = 2,500,000 - 4,999,999 05 = Mobile home or trailer with no permanent room
7 = 5,000,000+ added
Universe: All Households 06 = Mobile home or trailer with 1 or more perm rooms
added
07 = HU not specified above
GTCO 3 53 (000:810) Other Unit
08 = Qtrs not hu in rooming or boarding house
FIPS County Code 09 = Unit not perm in trans. hotel, motel, etc.
10 = Tent or trailer site
Values: 000 = Not identified 11 = Student quarters in college dormitory
001-810 = Specific county code (See Appendix E). Note: 12 = Other not HU
This code must be used in combination with a State Code
(GESTFIPS) in order to uniquely identify a county. Universe: All Households
Universe: All Households
H_MIS 1 64 (1:8)
GTCSA 3 56 (000:720) Month in sample
Consolidated Statistical Area (CSA) FIPS Code Values: 1-8 = Month in sample
Values: 000 = Non-met or not identified Universe: All Households
118-720 = CSA Code
Universe: All Households HEFAMINC 2 65 (-1:16)
Family income from basic CPS iincome screener question.
GTINDVPC 1 59 (0:7) NOTE: If a nonfamily household, income includes only that of
householder.
Individual Principal City Code
Values: -1=Not in universe
Values: 0 = Not identified, non-met, or not a principal city 01=Less than $5,000
1-7 = (See Appendix E) Note: Whenever possible this 02=$5,000 to $7,499
code identifies specific principal cities in a CBSA that has 03=$7,500 to $9,999
multiple principal cities. This code must be used in 04=$10,000 to $12,499
combination with the CBSA FIPS Code (GTCBSA) in 05=$12,500 to $14,999
order to uniquely identify a specific city. 06=$15,000 to $19,999
Universe: All Households 07=$20,000 to $24,999
08=$25,000 to $29,999
09=$30,000 to $34,999
GTMETSTA 1 60 (1:3) 10=$35,000 to $39,999
11=$40,000 to $49,999
Metropolitan status 12=$50,000 to $59,999
13=$60,000 to $74,999
Values: 1 = Metropolitan
14=$75,000 to $99,999
2 = Non-metropolitan
15=$100,000 to $149,999
3 = Not identified
16=$150,000 and over
Universe: All Households
Universe: All Households
Topic: Demographics HH5TO18 2 67 (0:16)
SubTopic: Household Characteristics Recode: Number of persons in household age 5 to 18
H_HHTYPE 1 61 (1:3) Values: 00 = None
01-16 = Number persons 5 to 18
Type of household interview
Universe: All Households
Values: 1 = Interview
2 = Type A non-interview
3 = Type B/C non-interview
Universe: All Households
Data Dictionary 6A-2
Record Type: Household
Variable Length Position Range Variable Length Position Range
HHSTATUS 1 69 (0:3) SubTopic: Allocation Flags
Recode - Household status I_HUNITS 1 79 (0:1)
Values: 0 = Not in universe (group quarters) Allocation flag for HUNITS
1 = Primary family
2 = Nonfamily householder living alone Values: 0 = No change
3 = Nonfamily householder living with nonrelatives 1 = Allocated
Universe: H_TYPE = 1-8 Universe: H_HHTYPE = 1
HNUMFAM 2 70 (00:16) Topic: Basic CPS Items
Number of families in household SubTopic: Household Characteristics
Values: 00 = Noninterview household
01-16 = Number of families in HHLD H_MONTH 2 80 (03:03)
Universe: H_HHTYPE = 1 Month of survey
Values: 03=March
HRHTYPE 2 72 (00:10) Universe: All Households
Household type
Values: 00 = Non-interview household H_NUMPER 2 82 (0:16)
01 = Married couple primary family (neither spouse in Number of persons in household
Armed Forces)
02 = Married couple primary family (one spouse in Armed Values: 00=Noninterview household
Forces) 01-16 = Number of persons in HHLD
03 = Unmarried civilian male primary family householder Universe: H_HHTYPE = 1
04 = Unmarried civilian female primary family householder
05 = Primary family household - reference person in
Armed Forces and unmarried H_RESPNM 2 84 (0:16)
06 = Civilian male nonfamily householder
07 = Civilian female nonfamily householder Line number of household respondent
08 = Nonfamily householder household - reference person
in Armed Forces Values: 0=Not in universe (non-interview or proxy respondent)
09 = Group quarters with actual families (This is new in 01-16=Line number
1994) Universe: All Households
10 = Group quarters with secondary individuals only
Universe: H_HHTYPE = 1
H_TELAVL 1 86 (0:2)
Telephone available
HUNDER15 2 74 (0:16)
Values: 0 = Not in universe
Recode: Number of persons in household under age 15 1 = Yes
Values: 00 = None 2 = No
01-16 = Number persons under 15 Universe: H_TELHHD = 2
Universe: H_HHTYPE=1
H_TELHHD 1 87 (0:2)
HUNDER18 2 76 (0:16) Telephone in household
Recode - Number of persons in HHLD under age 18 Values: 0=Not in universe (non-interview)
Values: 00 = None 1=Yes
01-16 = Number persons under 18 2=No
Universe: H_HHTYPE = 1 Universe: H_HHTYPE = 1
HUNITS 1 78 (0:5) H_TELINT 1 88 (0:1)
How many units in the structure? Telephone interview acceptable
Values: 0 = NIU Values: 0=Not in universe/No
1 = 1 Unit 1=Yes
2 = 2 Units
3 = 3 - 4 Units Universe: H_TELAVL = 1
4 = 5 - 9 Units
5 = 10+ Units
Universe: H_HHTYPE = 1
Data Dictionary 6A-3
Record Type: Household
Variable Length Position Range Variable Length Position Range
H_TENURE 1 89 (0:3) H1TELHHD 1 98 (0:4)
Tenure Allocation flag for H_TELHHD
Values: 0=Not in universe Values: 0=No change
1=Owned or being bought 1=Value to blank
2=Rented 4=Allocated
3=No cash rent Universe: All Households
Universe: H_HHTYPE = 1
H1TELINT 1 99 (0:4)
H_TYPEBC 2 90 (0:19)
Allocation flag for H_TELAVL
Item 15 - Type B/C
Values: 0=No change
Values: 00=Interviewed or Type A 1=Value to blank
TYPE B 4=Allocated
01 = Vacant - regular Universe: All Households
02 = Vacant - storage of HHLD furniture
03 = Temp occ by persons with URE
04 = Unfit or to be demolished H1TENURE 1 100 (0:4)
05 = Under construction, not ready
06 = Converted to temp business or storage Allocation flag for H_TENURE
07 = Occ by AF members or persons under 15
08 = Unocc tent or trailer site Values: 0=No change
09 = Permit granted, construction not started 1=Value to blank
10 = Other 4=Allocated
Type C Universe: All Households
11 = Demolished
12 = House or trailer moved
13 = Outside segment
14 = Converted to perm business or storage
15 = Merged
16 = Condemned
17 = Built after April 1, 1980
18 = Unused line of listing sheet
19 = Other
Universe: H_HHTYPE = 3
H_YEAR 4 92 (1999:2999)
Year of survey
Values: 1999-2999
Universe: All Households
SubTopic: Allocation Flags
H1LIVQRT 1 96 (0:7)
Allocation flag for H_LIVQRT
Values: 0=No change
4=Allocated
7=Blank to NA - no error
Universe: All Households
H1TELAVL 1 97 (0:4)
Allocation flag for H_TELINT
Values: 0=No change
1=Value to blank
4=Allocated
Universe: All Households
Data Dictionary 6A-4
Record Type: Household
Variable Length Position Range Variable Length Position Range
Topic: Income HTOTVAL 8 106 (-999999:99999999)
SubTopic: Total Income total household income
Values: 0 = none
HHINC 2 101 (0:41) negative dollar amount
Total household income - recode positive dollar amount
Universe: All Households
Values: 1=UNDER $2,500
2=$2,500 TO $4,999
3=$5,000 TO $7,499 SubTopic: Earnings
4=$7,500 TO $9,999
5=$10,000 TO $12,499 HEARNVAL 8 114 (-999999:99999999)
6=$12,500 TO $14,999
7=$15,000 TO $17,499 total household earnings
8=$17,500 TO $19,999
9=$20,000 TO $22,499 Values: 0 = none
10=$22,500 TO $24,999 negative amt = income (loss)
11=$25,000 TO $27,499 positive amt = income
12=$27,500 TO $29,999 Universe: HINC_WS, HINC_SE, or HINC_FR = 1
13=$30,000 TO $32,499
14=$32,500 TO $34,999
15=$35,000 TO $37,499 HFRVAL 7 122 (-999999:99999999)
16=$37,500 TO $39,999
17=$40,000 TO $42,499 household income - farm income
18=$42,500 TO $44,999 Values: 0 = none
19=$45,000 TO $47,499 negative amt = income (loss)
20=$47,500 TO $49,999 positive amt = income
21=$50,000 TO $52,499
22=$52,500 TO $54,999 Universe: HINC_FR = 1
23=$55,000 TO $57,499
24=$57,500 TO $59,999
25=$60,000 TO $62,499 HINC_FR 1 129 (0:2)
26=$62,500 TO $64,999 farm self-employment, y/n
27=$65,000 TO $67,499
28=$67,500 TO $69,999 Values: 0 = niu
29=$70,000 TO $72,499 1 = yes
30=$72,500 TO $74,999 2 = no
31=$75,000 TO $77,499 Universe: All Households
32=$77,500 TO $79,999
33=$80,000 TO $82,499
34=$82,500 TO $84,999 HINC_SE 1 130 (0:2)
35=$85,000 TO $87,499
36=$87,500 TO $89,999 own business self-employment, y/n
37=$90,000 TO $92,499
Values: 0 = niu
38=$92,500 TO $94,999
1 = yes
39=$95,000 TO $97,499
2 = no
40=$97,500 TO $99,999
41=$100,000 AND OVER Universe: All Households
Universe: All Households
HINC_WS 1 131 (0:2)
HPCTCUT 2 103 (0:20) wage and salary, y/n
Recode - HHLD income percentiles Values: 0 = niu
1 = yes
Values: 0 = niu (group quarters)
1 = lowest 5 percent 2 = no
2 = second 5 percent . . . 20 = top 5 percent Universe: All Households
Universe: All Households
HSEVAL 7 132 (-999999:99999999)
HTOP5PCT 1 105 (0:2) household income - self employment income
Top 5 percent of households Values: 0 = none
negative dollar amount = income loss
Values: 0 = niu (group quarters)
1 = in top 5 percent positive dollar amount = income
2 = not in top 5 percent Universe: HINC_SE = 1
Universe: H_TYPE < 9
Data Dictionary 6A-5
Record Type: Household
Variable Length Position Range Variable Length Position Range
HWSVAL 7 139 (0:9999999) HDIV_YN 1 176 (0:2)
household income - wages and salaries At any time during 20.. did anyone in this household: own any
shares of stock in corporations or any mutual fund shares?
Values: 0 = none
dollar amount Values: 0 = niu
1 = yes
Universe: HINC_WS = 1 2 = no
Universe: All Households
SubTopic: Other Income
HANN_YN 7 146 (0:2) HDIVVAL 7 177 (0:9999999)
During 20.., did anyone receive income from an annuity? household income - dividend income
Values: 0 = niu Values: 0 = none;
1 = yes 1:9999999 dollar amount
2 = no Universe: HDIV_YN = 1
Universe: All Households
HDST_YN 7 184 (0:2)
HANNVAL 7 153 (0:999999) Household retirement distribution income for people age 58 and
household income - annuities over, y/n?
Values: 0 = none; dollar amount Values: 0 = niu
Universe: HANN_YN = 1 1 = yes
2 = no
Universe: All Households
HCSP_YN 1 160 (0:2)
During 20.. did anyone in this household receive: any child support
payments? HDSTVAL 7 191 (0:9999999)
Values: 0 = niu household income - retirement distributions
1 = yes
2 = no Values: 0 = niu
1 = yes
Universe: All Households 2 = no
Universe: HDST_YN = 1
HCSPVAL 7 161 (0:9999999)
household income - child support HED_YN 1 198 (0:2)
Values: 0 = none; Did anyone receive any educational assistance for tuition, fees,
1:999999 dollar amount books, or living expenses during 20..?
Universe: HCSP_YN = 1 Values: 0 = niu
1 = yes
2 = no
HDIS_YN 1 168 (0:2) Universe: All Households
Does anyone in the household have a disability or health problem
which prevented them from working, even for a short time, or
which limited the work they could do? HEDVAL 7 199 (0:9999999)
Values: 0 = niu household income - education income
1 = yes
2 = no Values: 0 = none
1:9999999 dollar amount
Universe: All Households
Universe: HED_YN = 1
HDISVAL 7 169 (0:9999999)
HFIN_YN 1 206 (0:2)
household income - disability income
During 20.. did anyone in this household receive: any (other)
Values: 0 = none; regular financial assistance from friends or relatives not living in
1:9999999 dollar amount this household?
Universe: HDIS_YN = 1 Values: 0 = niu
1 = yes
2 = no
Universe: All Households
Data Dictionary 6A-6
Record Type: Household
Variable Length Position Range Variable Length Position Range
HFINVAL 7 207 (0:9999999) HOIVAL 7 225 (0:9999999)
household income - financial assistance income household income - other income: (such as foster child care,
alimony, jury duty, armed forces reserves, severance pay,
Values: 0 = none; hobbies, or any other source)
1:9999999 dollar amount
Values: 0 = none
Universe: All Households 1:9999999 dollar amount
Universe: HOI_YN = 1
HINC_UC 1 214 (0:2)
unemployment compensation, y/n HOTHVAL 8 232 (-999999:99999999)
Values: 0 = niu All other types of income except HEARNVAL Recode - Total
1 = yes other household income
2 = no
Values: 0 = none
Universe: All Households negative amt = income (loss)
positive amt = income
Universe: All Households
HINC_WC 1 215 (0:2)
workers compensation, y/n
HPAW_YN 1 240 (0:2)
Values: 0 = niu
1 = yes At any time during 20.. did anyone in this household receive: any
2 = no public assistance or welfare payments from the state or local
welfare office?
Universe: All Households
Values: 0 = niu
1 = yes
HINT_YN 1 216 (0:2) 2 = no
Universe: All Households
At any time during 20.. did anyone in this household have money
in:
1) savings accounts
HPAWVAL 6 241 (0:99999999)
2) checking accounts
3) money market funds household income - public assistance income amt
4) certificates of deposit
5) savings bonds Values: 0 = none
6) any other (non-retirement) investments which pay interest 1:9999999 dollar amount
7) retirement accounts Universe: HPAW_YN = 1
Values: 0 = niu
1 = yes
2 = no HPEN_YN 1 247 (0:2)
Universe: All Households During 20.., did anyone receive any pension income from a
previous employer or union?
Values: 0 = niu
HINTVAL 7 217 (0:9999999)
1 = yes
household income - interest income 2 = no
Universe: All Households
Values: 0 = none
1: 9999999 dollar amount
Universe: HINT_YN = 1 HPENVAL 7 248 (0:9999999)
household income - pension income
HOI_YN 1 224 (0:2)
Values: 0 = none
During 20.. Did anyone receive cash income not already covered, 1:9999999 dollar amount
such as income from: foster child care, alimony, jury duty, armed Universe: All Households
forces reserves, severance pay, hobbies, or any other source?
Values: 0 = niu
1 = yes
2 = no
Universe: All Households
Data Dictionary 6A-7
Record Type: Household
Variable Length Position Range Variable Length Position Range
HRNT_YN 1 255 (0:2) HSUR_YN 1 278 (0:2)
During 20.. did anyone in the household: Did anyone in this household receive any income in 20.. as a
1) own any land, business property, apartments, houses which survivor or widow such as survivor or widow's pensions, estates,
were rented to others? trusts, annuities, or other survivor benefits?
2) receive income from royalties or from roomers or boarders? Values: 0 = niu
3) receive income from estates or trusts? 1 = yes
Values: 0 = niu 2 = no
1 = yes Universe: All Households
2 = no
Universe: All Households
HSURVAL 7 279 (0:99999999)
HRNTVAL 7 256 (-999999:99999999) household income - survivor income
household income - rental income amt Values: 0 = none
1:9999999 dollar amount
Values: 0 = none Universe: HSUR_YN = 1
negative dollar amount
positive dollar amount
Universe: HRNT_YN = 1 HUCVAL 7 286 (0:9999999)
household income - unemployment compensation
HSS_YN 1 263 (0:2) Values: 0 = none
During 20.. did anyone in this household receive: any social 1-99999999 = dollar amount
security payments from U.S. government? Universe: HINC_UC = 1
Values: 0 = niu
1 = yes
2 = no HVET_YN 1 293 (0:2)
Universe: All Households At any time during 20.. did anyone in this household receive: any
payments from the veterans' administration other than above?
Values: 0 = niu
HSSI_YN 1 264 (0:2) 1 = yes
During 20.. did anyone in this household receive: any 2 = no
supplemental security income payments? Universe: All Households
Values: 0 = niu
1 = yes
2 = no HVETVAL 7 294 (0:9999999)
Universe: All Households household income - veteran payments
Values: 0 = none
HSSIVAL 6 265 (0:9999999) 1-9999999 = dollar amount
Universe: HVET_YN = 1
household income - supplemental security income
Values: 0 = none
1:9999999 dollar amount HWCVAL 7 301 (0:99999999)
Universe: HSSI_YN = 1 household income - worker's compensation
Values: 0 = none
HSSVAL 7 271 (0:9999999) dollar amount
Universe: HINC_WC = 1
household income - social security
Values: 0 = none
1:9999999 dollar amount SubTopic: Non-cash Benefits
Universe: HSS_YN = 1 HENGAST 1 308 (0:2)
Assistance for heating/colling costs received for anyone in the
household
Values: 0 = niu
1 = yes
2 = no
Universe: All Households
Data Dictionary 6A-8
Record Type: Household
Variable Length Position Range Variable Length Position Range
HENGVAL 5 309 (0:10000) HHOTLUN 1 325 (0:2)
Altogether, how much energy assistance has been received During 20.. how many of the children in this household usually ate
during, 20..? a complete hot lunch offered at school?
Values: 0 = none Values: 0 = niu
1:10,000 = dollar amount 1 = all or some
Universe: HENGAST = 1 2 = none
Universe: All Households with children 5 to 18
HFDVAL 5 314 (0:30000)
HHOTNO 1 326 (0:9)
What was the value of all food stamps received during 20..?
number of children in household who usually ate hot lunch. note: if
Values: 0 = none more than 9 children/persons present, a value of 9 does not
1-30000 = dollar amount necessarily mean "all."
Universe: HFOODSP = 1 Values: 0 = niu
1 = one ... 9 = nine or more
HFLUNCH 1 319 (0:2) Universe: HHOTLUN = 1
During 20.. how many of the children in this household received
free or reduced price lunches because they qualified for federal HLORENT 1 327 (0:2)
school lunch program?
Are you paying lower rent because the federal, state, or local
Values: 0 = niu government is paying part of the cost?
1 = all or some
2 = none Values: 0 = niu
1 = yes
Universe: HHOTLUN = 1 2 = no
Universe: HPUBLIC=2
HFLUNNO 1 320 (0:9)
Number receiving free/reduced price lunch. Note: if more than 9 HPUBLIC 1 328 (0:2)
children/persons present, a value of 9 does not necessarily mean
"all." Is this a public housing project, that is owned by a local housing
authority or other public agency?
Values: 0 = niu
1 = one ... 9 = nine + Values: 0 = niu
1 = yes
Universe: HHOTLUN = 1 2 = no
Universe: H_TENURE ne 1 (renter occupied)
HFOODMO 2 321 (0:12)
number months covered by food stamps HRNUMWIC 2 329 (0:16)
Values: 0 = niu Number of people in the household receiving WIC
1-12 = months
Values: 0 = NIU
Universe: HFOODSP = 1 1:16 = number of people
Universe: HRWICYN = 1
HFOODNO 1 323 (0:9)
Number covered by food stamps note: if more than 9 HRWICYN 1 331 (0:2)
children/persons present, a value of 9 does not necessarily mean
"all." At any time last year, (were you/was anyone in this household) on
WIC, the Women, Infants, and Children Nutrition Program?
Values: 0 = niu
1 = one ... 9 = nine + Values: 0 = niu
1 = yes
Universe: HFOODSP = 1 2 = no
Universe: Households with a female adult
HFOODSP 1 324 (0:2)
Did anyone in this household get food stamps at any time in 20..? SubTopic: Supplemental Poverty Measure
Values: 0 = niu HCHCARE_VAL 6 332 (-1:999999)
1 = all or some
2 = none Annual amount paid for child care by household members
Universe: All Households Values: 0 = none; dollar amount
Universe: HCHCARE_YN = 1
Data Dictionary 6A-9
Record Type: Household
Variable Length Position Range Variable Length Position Range
HCHCARE_YN 1 338 (0:2) I_HFLUNC 1 352 (0:1)
Did (you/anyone in this household) PAY for the care of (your/their) Allocation flag for HFLUNCH
(child/children) while they worked last year? (Include preschool
and nursery school; exclude kindergarten or grade/elementary Values: 0 = No allocation
school)? 1 = Allocated
Values: 0 = NIU Universe: HFLUNCH > 0
1 = yes
2 = no
I_HFLUNN 1 353 (0:1)
Universe: Households with children (a_age = 15 and under)
Allocation flag for HFLUNNO
SubTopic: Property Values: 0 = No allocation
1 = Allocated
HPRES_MORT 1 339 (0:2) Universe: HFLUNNO > 0
Presence of home mortgage (respondent answers yes to hmort_yn
or hsmort_yn) I_HFOODM 1 354 (0:2)
Values: 0 = niu
Allocation flag for HFOODMO
1 = yes
2 = no Values: 0 = No allocation
Universe: H_TENURE = 1 (owner occupied) 1 = Allocated
2 = Allocated with range response
Universe: HFOODMO > 0
HPROP_VAL 8 340 (-1:9999999)
Estimate of current property value
I_HFOODN 1 355 (0:1)
Values: 0 = none/niu - renter
Allocation flag for HFOODNO
1:9999999 dollar amount
Universe: H_TENURE = 1 (owner occupied) Values: 0 = No allocation
1 = Allocated
Universe: HFOODNO >0
SubTopic: Allocation Flags
I_CHCAREVAL 1 348 (0:1) I_HFOODS 1 356 (0:1)
Allocation flag for HCHCARE_VAL Allocation flag for HFOODSP
Values: 0 = No allocation Values: 0 = No allocation
1 = Allocated 1 = Allocated
Universe: HCHCARE_VAL > 0 Universe: HFOODSP > 0
I_HENGAS 1 349 (0:1) I_HHOTLU 1 357 (0:1)
Allocation flag for HENGAST Allocation flag for HHOTLUN
Values: 0 = No allocation Values: 0 = No allocation
1 = Allocated 1 = Allocated
Universe: HENGSAT > 0 Universe: HHOTLUN > 0
I_HENGVA 1 350 (0:2) I_HHOTNO 1 358 (0:1)
Allocation flag for HENGVAL Allocation flag for HHOTNO
Values: 0 = No allocation Values: 0 = No allocation
1 = Allocated 1 = Allocated
2 = Allocated with range response
Universe: HHOTNO > 0
Universe: HENGAST = 1
I_HLOREN 1 359 (0:1)
I_HFDVAL 1 351 (0:2)
Allocation flag for HLORENT
Allocation flag for HFDVAL
Values: 0 = No allocation
Values: 0 = No allocation 1 = Allocated
1 = Allocated
2 = Allocated with range response
Universe: HLORENT > 0
Universe: HFDVAL > 0
Data Dictionary 6A-10
Record Type: Household
Variable Length Position Range Variable Length Position Range
I_HPUBLI 1 360 (0:1) SubTopic: Public coverage
Allocation flag for HPUBLIC HPUB 1 366 (1:3)
Values: 0 = No allocation Any public coverage in the household last year
1 = Allocated
Universe: HPUBLIC > 0 Values: 1= All members of the household
2= Some members of the household
3= No members of the household
I_PROPVAL 1 361 (0:4) Universe: All Households
Allocation flag for HPROP_VAL
Values: 0 = No allocation NOW_HPUB 1 367 (1:3)
1 = Allocated with range response (Level 1) Any current public coverage in the household
2 = Allocated (Level 2)
3 = Allocated (Level 3) Values: 1= All members of the household
4 = Allocated (Level 4) 2= Some members of the household
Universe: HPROP_VAL > 0 3= No members of the household
Universe: All Households
SubTopic: Topcoding Flags
SubTopic: Private coverage
THCHCARE_VAL 1 362 (0:1)
HPRIV 1 368 (1:3)
Topcode flag for HCHCARE_VAL
Any private coverage in the household last year
Values: 0 = not topcoded;
1 = topcoded Values: 1= All members of the household
Universe: HCHCARE_VAL > 0 2= Some members of the household
3= No members of the household
Universe: All Households
THPROP_VAL 1 363 (0:1)
Data swapping flag for HPROP_VAL NOW_HPRIV 1 369 (1:3)
Values: 0 = no swapping Any current private coverage in the household
1 = variable value was swapped with another record
Universe: HPROP_VAL > 0 Values: 1= All members of the household
2= Some members of the household
3= No members of the household
Topic: Health Insurance Universe: All Households
SubTopic: Any health insurance coverage
SubTopic: Medicaid or other means-tested cover
HCOV 1 364 (1:3)
HMCAID 1 370 (1:3)
Any health insurance coverage in the household last year
Any Medicaid, PCHIP or other means-tested coverage in the
Values: 1= All members of the household household last year
2= Some members of the household
3= No members of the household Values: 1= All members of the household
2= Some members of the household
Universe: All Households 3= No members of the household
Universe: All Households
NOW_HCOV 1 365 (1:3)
Any current health insurance coverage in the household NOW_HMCAID 1 371 (1:3)
Values: 1= All members of the household Any current Medicaid, PCHIP or other means-tested coverage in
2= Some members of the household the household
3= No members of the household
Values: 1= All members of the household
Universe: All Households 2= Some members of the household
3= No members of the household
Universe: All Households
Data Dictionary 6A-11
Record Type: Household
Variable Length Position Range Variable Length Position Range
SubTopic: Household imputation status
HH_HI_UNIV 1 372 (1:3)
Household imputation status
Values: 1= All members of the household had reported data
2= Some members of the household had reported data
3= No members of the household had reported data
Universe: All Households
Data Dictionary 6A-12
ASEC 2021 Public Use Data Dictionary
Record Type: Family
Variable Length Position Range Variable Length Position Range
Topic: Record Identifiers FMLASIDX 2 19 (1:16)
SubTopic: Record Type Index to person record of last member of family. All persons from
FHEADIDX thru FMLASIDX are members of this family. (Primary
FRECORD 1 1 (2:2) family excludes subfamily members.)
Values: 01-16 = Person sequence number (P_SEQ) for last family
Record Type. Used to identify records on ascii file. member
Values: 2 = FAMILY RECORD Universe: All Families
Universe: All Families
FSPOUIDX 2 21 (0:16)
SubTopic: Match Keys Index to person record of family spouse
FFPOS 2 2 (01:16) Values: 00 = No spouse
01-16 = Person sequence number (P_SEQ) for spouse
Unique family identifier. This field plus FH_SEQ results in a
unique family number for the file. Universe: F_KIND = 1
Values: 01-16 = index for family identifier
Universe: All Families Topic: Weights
SubTopic: ASEC Supplement
FH_SEQ 5 4 (00001:99999)
FSUP_WGT 8 23 (00000000:999999999)
Household sequence number. Matches H_SEQ for same
household Householder or Reference Person weight
Values: 00001-99999 = household sequence number
Universe: All Families
Values: 2 implied decimals (example: 255212=2552.12)
Universe: All Families
FILEDATE 6 9 ()
File creation date in MMDDYY format Topic: Demographics
Values: Date
SubTopic: Family Characteristics
Universe: All records
FKIND 1 31 (1:3)
SubTopic: Record Pointers Kind of family
FHEADIDX 2 15 (1:16) Values: 1=Married couple family
2=Male reference person
Index to person record of family head 3=Female reference person
Values: 01-16 = Person sequence number (P_SEQ) for reference Universe: All Families
person
Universe: All Families FKINDEX 1 32 (1:4)
Kind of family (expanded)
FLASTIDX 2 17 (1:16)
Values: 1=Opposite-sex married couple family
Index to person record of last member of family. All persons from 2=Same-sex married couple family
FHEADIDX thru FLASTIDX are members of this family. (Primary 3=Male reference person
family includes related subfamily members.) 4=Female reference person
Values: 01-16 = Person sequence number (P_SEQ) for last family Universe: All families
member
Universe: All Families
FOWNU18 1 33 (0:9)
Number of own never married children under 18, for FHEADIDX.
Primary family includes own children in related subfamily even if
the child is the head of the subfamily.
Values: 0 = None, not in universe
1 = 1 ... 9 = 9 or more
Universe: All Families
Data Dictionary 6B-1
Record Type: Family
Variable Length Position Range Variable Length Position Range
FOWNU6 1 34 (0:6) Topic: Income
Own children in family under 6, for FHEADIDX. Primary family SubTopic: Total Income
includes own children in related subfamily
Values: 0 = None, not in universe FPCTCUT 2 41 (0:20)
1=1
2 = 2 ... 6 = 6+ Income percentiles (for primary families only)
Values: 0 = niu (ftype = 2+)
Universe: All Families 1 = lowest 5 percent
2 = second 5 percent . . . 20 = top 5 percent
Universe: FTYPE = 1
FPERSONS 2 35 (1:16)
Number of persons in family. Primary families include related
subfamily members. FTOT_R 2 43 (0:41)
Values: 01-16 = Number of persons Total family income recode
Universe: All Families Values: 1=UNDER $2,500
2=$2,500 TO $4,999
3=$5,000 TO $7,499
FRELU18 1 37 (0:9) 4=$7,500 TO $9,999
Related persons in family under 18 5=$10,000 TO $12,499
6=$12,500 TO $14,999
Values: 0 = None, not in universe 7=$15,000 TO $17,499
1=1 8=$17,500 TO $19,999
2 = 2 ... 9 = 9+ 9=$20,000 TO $22,499
Universe: All Families 10=$22,500 TO $24,999
11=$25,000 TO $27,499
12=$27,500 TO $29,999
FRELU6 1 38 (0:6) 13=$30,000 TO $32,499
14=$32,500 TO $34,999
Related persons in family under 6 15=$35,000 TO $37,499
16=$37,500 TO $39,999
Values: 0 = None, not in universe 17=$40,000 TO $42,499
1=1 18=$42,500 TO $44,999
2 = 2 ... 6 = 6+ 19=$45,000 TO $47,499
Universe: All Families 20=$47,500 TO $49,999
21=$50,000 TO $52,499
22=$52,500 TO $54,999
FSPANISH 1 39 (1:2) 23=$55,000 TO $57,499
24=$57,500 TO $59,999
Reference person or spouse is Spanish, Hispanic, or Latino 25=$60,000 TO $62,499
Values: 1 = YES 26=$62,500 TO $64,999
2 = NO 27=$65,000 TO $67,499
28=$67,500 TO $69,999
Universe: All Families 29=$70,000 TO $72,499
30=$72,500 TO $74,999
31=$75,000 TO $77,499
FTYPE 1 40 (1:5) 32=$77,500 TO $79,999
Family type 33=$80,000 TO $82,499
34=$82,500 TO $84,999
Values: 1=Primary family 35=$85,000 TO $87,499
2=Nonfamily householder 36=$87,500 TO $89,999
3=Related subfamily 37=$90,000 TO $92,499
4=Unrelated subfamily 38=$92,500 TO $94,999
5=Secondary individual 39=$95,000 TO $97,499
Universe: All Families 40=$97,500 TO $99,999
41=$100,000 AND OVER
Universe: All Families
FTOTVAL 8 45 (-999999:99999999)
Total family income
Values: 0 = none
negative amt = income (loss)
positive amt = income
Universe: All Families
Data Dictionary 6B-2
Record Type: Family
Variable Length Position Range Variable Length Position Range
SubTopic: Earnings FCSPVAL 7 85 (0000000:9999999)
FEARNVAL 8 53 (-999999:9999999) family income - child support
total family earnings Values: 0 = none; dollar amount
Universe: FINC_CSP = 1
Values: 0 = none
negative amt = income (loss)
positive amt = income FDISVAL 7 92 (0000000:9999999)
Universe: FINC_WS, FINC_SE OR FINC_FR = 1
family income - disability income
Values: 0 = none; dollar amount
FFRVAL 7 61 (-999999:9999999)
Universe: FINC_DIS = 1
family income - farm income
Values: 0 = none FDIVVAL 7 99 (0000000:9999999)
negative amt = income (loss)
positive amt = income family income - dividend income
Universe: FINC_FR = 1 Values: 0 = none; dollar amount
Universe: FINC_DIV = 1
FINC_FR 1 68 (0:2)
farm self-employment, y/n FDSTVAL 7 106 (0000000:9999999)
Values: 1 = yes family income - retirement distributions
2 = no
Values: 0 = none; dollar amount
Universe: All Families
Universe: FINC_DST = 1
FINC_SE 1 69 (0:2)
FEDVAL 7 113 (0000000:9999999)
own business self-employment, y/n
family income - education income
Values: 1 = yes
2 = no Values: 0 = none dollar amount
Universe: All Families Universe: FINC_ED = 1
FINC_WS 1 70 (0:2) FFINVAL 7 120 (0000000:9999999)
wage and salary, y/n family income - financial assistance income
Values: 1 = yes Values: 0 = none; dollar amount
2 = no Universe: FINC_FIN = 1
Universe: All Families
FINC_ANN 1 127 (0:2)
FSEVAL 7 71 (-999999:9999999) annuity income, y/n
family income - self employment income
Values: 1 = yes
Values: 0 = none 2 = no
negative amt = income (loss) Universe: All Families
positive amt = income
Universe: FINC_SE = 1
FINC_CSP 1 128 (0:2)
child support income, y/n
SubTopic: Other Income
Values: 1 = yes
FANNVAL 7 78 (0:9999999) 2 = no
family income - annuities Universe: All Families
Values: 0 = none; dollar amount
Universe: FINC_ANN = 1 FINC_DIS 1 129 (0:2)
disability income, y/n
Values: 1 = yes
2 = no
Universe: All Families
Data Dictionary 6B-3
Record Type: Family
Variable Length Position Range Variable Length Position Range
FINC_DIV 1 130 (0:2) FINC_RNT 1 138 (0:2)
dividend income, y/n rental income, y/n
Values: 1 = yes Values: 1 = yes
2 = no 2 = no
Universe: All Families Universe: All Families
FINC_DST 1 131 (0:2) FINC_SS 1 139 (0:2)
retirement distributions, y/n social security income, y/n
Values: 1 = yes Values: 1 = yes
2 = no 2 = no
Universe: All Families Universe: All Families
FINC_ED 1 132 (0:2) FINC_SSI 1 140 (0:2)
education income, y/n supplemental security income, y/n
Values: 1 = yes Values: 1 = yes
2 = no 2 = no
Universe: All Families Universe: All Families
FINC_FIN 1 133 (0:2) FINC_SUR 1 141 (0:2)
financial assistance, y/n survivor's income, y/n
Values: 1 = yes Values: 1 = yes
2 = no 2 = no
Universe: All Families Universe: All Families
FINC_INT 1 134 (0:2) FINC_UC 1 142 (0:2)
interest income, y/n unemployment compensation, y/n
Values: 1 = yes Values: 1 = yes
2 = no 2 = no
Universe: All Families Universe: All Families
FINC_OI 1 135 (0:2) FINC_VET 1 143 (0:2)
other income, y/n veterans' benefits, y/n
Values: 1 = yes Values: 1 = yes
2 = no 2 = no
Universe: All Families Universe: All Families
FINC_PAW 1 136 (0:2) FINC_WC 1 144 (0:2)
public assistance or welfare, y/n workers compensation, y/n
Values: 1 = yes Values: 1 = yes
2 = no 2 = no
Universe: All Families Universe: All Families
FINC_PEN 1 137 (0:2) FINTVAL 7 145 (0000000:9999999)
pension income, y/n family income - interest income
Values: 1 = yes Values: 0 = none; dollar amount
2 = no Universe: FINC_INT = 1
Universe: All Families
Data Dictionary 6B-4
Record Type: Family
Variable Length Position Range Variable Length Position Range
FOIVAL 7 152 (0000000:9999999) FUCVAL 7 207 (0000000:9999999)
family income - other income: such as foster child care, alimony, family income - unemployment compensation
jury duty, armed forces reserves, severance pay, hobbies, or any
other source Values: 0 = none; dollar amount
Values: 0 = none; dollar amount Universe: FINC_UC = 1
Universe: FINC_OI = 1
FVETVAL 7 214 (0000000:9999999)
FOTHVAL 8 159 (-999999:99999999) family income - veteran payments
total other family income - All other types of income except Values: 0 = none; dollar amount
FEARNVAL Universe: FINC_VET = 1
Values: 0 = none
negative amt = income (loss)
positive amt = income FWCVAL 7 221 (0000000:9999999)
Universe: All Families family income - worker's compensation
Values: 0 = none; dollar amount
FPAWVAL 6 167 (0000000:9999999) Universe: FINC_WC = 1
family income - public assistance income
Values: 0 = none; dollar amount FWSVAL 7 228 (0000000:9999999)
Universe: FINC_PAW = 1 family income - wages and salaries
Values: dollar amount
FPENVAL 7 173 (0:9999999) Universe: FINC_WS = 1
family income - pension
Values: 0 = none; dollar amount SubTopic: Non-cash Benefits
Universe: FINC_PEN = 1
F_MV_FS 5 235 (0:24999)
Family market value of food stamps
FRNTVAL 7 180 (-999999:9999999)
Values: 0 = none; dollar amount
family income - rental income
Universe: HFOODSP = 1 and FTYPE ≠ 3
Values: 0 = none
negative amt = income (loss)
positive amt = income F_MV_SL 4 240 (0:9999)
Universe: FINC_RNT = 1 Family market value of school lunch
Values: 0 = none; dollar amount
FSSIVAL 6 187 (000000:999999) Universe: HFLUNCH = 1 and FTYPE ≠ 3
family income - supplemental security income
Values: 0 = none; dollar amount Topic: Poverty
Universe: FINC_SSI = 1
SubTopic: Poverty
FSSVAL 7 193 (0000000:9999999) FAMLIS 2 244 (-1:4)
family income - social security RATIO OF FAMILY INCOME TO POVERTY THRESHOLD
IF FTYPE = 3, THEN VALUE COMES FROM PRIMARY FAMILY.
Values: 0 = none; dollar amount Values: -1 = NOT IN POVERTY UNIVERSE
Universe: FINC_SS = 1 1 = BELOW POVERTY LEVEL
2 = 100 - 124 PERCENT OF THE POVERTY LEVEL
3 = 125 - 149 PERCENT OF THE POVERTY LEVEL
FSURVAL 7 200 (0000000:9999999) 4 = 150 AND ABOVE THE POVERTY LEVEL
family income - survivor income Universe: All families and unrelated individuals aged 15 and older
Values: 0 = none; dollar amount
Universe: FINC_SUR = 1
Data Dictionary 6B-5
Record Type: Family
Variable Length Position Range Variable Length Position Range
FPOVCUT 5 246 (-1:60000) Topic: Health Insurance
ANNUAL FAMILY POVERTY THRESHOLD. SubTopic: Medical out-of-pocket expenditures
If FTYPE = 3 then value comes from primary family
Values: -1 = Not in poverty universe FHIP_VAL 7 260 (0:9999999)
1-60,000 = dollar amount
Total amount paid in premiums by family
Universe: All families and unrelated individuals aged 15 and older
Values: 0 - 9999999
Universe: All Families
FRSPOV 2 251 (0:14)
RATIO OF RELATED SUBFAMILY INCOME TO RELATED
SUBFAMILY POVERTY THRESHOLD FHIP_VAL2 7 267 (0:9999999)
Values: 00 = NOT A RELATED SUBFAMILY Total amount paid in premiums by family 2
01 = UNDER .50
02 = .50 TO .74 Values: 0 - 9999999
03 = .75 TO .99 Universe: All Families
04 = 1.00 TO 1.24
05 = 1.25 TO 1.49
06 = 1.50 TO 1.74 FMED_VAL 7 274 (0:9999999)
07 = 1.75 TO 1.99
08 = 2.00 TO 2.49 Total amount paid in medical expenses by family
09 = 2.50 TO 2.99 Values: 0 - 999999
10 = 3.00 TO 3.49
11 = 3.50 TO 3.99 Universe: All Families
12 = 4.00 TO 4.49
13 = 4.50 TO 4.99
14 = 5.00 AND OVER FMOOP 7 281 (0:9999999)
Universe: Related subfamilies (ftype = 3) Family's total medical out of pocket expenditures. Sum of MOOP
across family members.
Values: 0 - 9999999
FRSPPCT 5 253 (0:60000)
Universe: All Families
ANNUAL RELATED SUBFAMILY POVERTY THRESHOLD
(CARE SHOULD BE EXERCISED WHEN USING THIS DATA AS
RELATED SUBFAMILIES ARE A SUBSET OF PRIMARY FMOOP2 7 288 (0:9999999)
FAMILIES AND USUALLY THEIR POVERTY STATUS COMES
FROM THE PRIMARY FAMILY) Family's total medical out of pocket expenditures with alternative
measure of premiums. Sum of MOOP2 across family members.
Values: 0 = NOT A RELATED SUBFAMILY
1-60,000 = DOLLAR AMOUNT Values: 0 - 9999999
Universe: Related subfamilies (ftype = 3) Universe: All Families
POVLL 2 258 (-1:14) FOTC_VAL 7 295 (0:9999999)
RATIO OF FAMILY INCOME TO POVERTY THRESHOLD. Total amount paid in over the counter expenses by family
IF FTYPE = 3, THEN VALUE COMES FROM PRIMARY FAMILY. Values: 0 - 999999
Values: -1 = NOT IN POVERTY UNIVERSE Universe: All Families
01 = UNDER .50
02 = .50 TO .74
03 = .75 TO .99 I_FHIPVAL 2 302 (-1:3)
04 = 1.00 TO 1.24
05 = 1.25 TO 1.49 Allocation flag for FHIP_VAL
06 = 1.50 TO 1.74
07 = 1.75 TO 1.99 Values: -1= Out of universe
08 = 2.00 TO 2.49 0= Reported
09 = 2.50 TO 2.99 1= Hotdeck imputation
10 = 3.00 TO 3.49 2= Logical imputation
11 = 3.50 TO 3.99 3= Whole unit imputation
12 = 4.00 TO 4.49 Universe: All Families
13 = 4.50 TO 4.99
14 = 5.00 AND OVER
Universe: All families and unrelated individuals aged 15 and older
Data Dictionary 6B-6
Record Type: Family
Variable Length Position Range Variable Length Position Range
I_FHIPVAL2 2 304 (-1:3)
Allocation flag for FHIP_VAL2
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Families
I_FMEDVAL 2 306 (-1:3)
Allocation flag for FMED_VAL
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Families
I_FMOOP 2 308 (-1:3)
Allocation flag for FMOOP
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Families
I_FMOOP2 2 310 (-1:3)
Allocation flag for FMOOP2
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Families
I_FOTCVAL 2 312 (-1:3)
Allocation flag for FOTC_VAL
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Families
Data Dictionary 6B-7
ASEC 2021 Public Use Data Dictionary
Record Type: Person
Variable Length Position Range Variable Length Position Range
Topic: Record Identifiers PHF_SEQ 2 41 (01:16)
SubTopic: Record Type Pointer to the sequence number of own family record in
household. (Care should be exercised when using these data as
PRECORD 1 1 (3:3) the related subfamilies are a part of the primary family and usually
their characteristics come from the primary family record)
Record type. Used to identify records on ascii file. Values: 01:16
Values: 3 = person record Universe: All Persons
Universe: All Persons
PPPOS 2 43 (41:56)
SubTopic: Match Keys Person identifier. This field plus PH_SEQ results in a unique
person number for the file.
A_LINENO 2 2 (01:16)
Values: 41:56 = index for person identifier
Roster line number
Universe: All Persons
Values: 01:16
Universe: All Persons SubTopic: Record Pointers
A_FAMNUM 2 45 (00:19)
FILEDATE 6 4 ()
Family number from Basic CPS
File creation date in MMDDYY format
Values: 00 = Not a family member
Values: Date 01 = Primary family member only
Universe: All records 02-19 = Subfamily member
Universe: All Persons
P_SEQ 2 10 (00:16)
Sequence number of person in hhld A_SPOUSE 2 47 (00:16)
Spouse's line number
Values: 0-16
Values: 00 = None or children
Universe: All Persons 01-16 = Spouse's line number
Universe: All Persons
PERIDNUM 22 12 (NA)
22-digit Unique Person identifier PECOHAB 2 49 (-1:16)
Values: 22-digit Unique Person identifier Line number of cohabiting Partner
Universe: All Persons Values: -1 = No Partner present
1-16 = Line Number
PF_SEQ 2 34 (00:16) Universe: All Persons
Pointer to the sequence number of family record in household
(Related subfamilies point to primary family) PEPAR1 2 51 (-1:16)
Values: 00:16 Line number of Parent 1
Universe: All Persons
Values: -1 = No Parent 1 present
1 = Min Value
5 36 (00000:99999) 16 = Max Value
PH_SEQ
Universe: All Persons
Household seq number
Values: 00001:99999
PEPAR2 2 53 (-1:16)
Universe: All Persons
Line number of Parent 2
Values: -1 = No Parent 2 present
1 = Min Value
16 = Max Value
Universe: All Persons
Data Dictionary 6C-1
Record Type: Person
Variable Length Position Range Variable Length Position Range
Topic: Weights A_EXPRRP 2 82 (1:14)
SubTopic: Basic CPS Expanded relationship code
Values: 1 = Reference person with relatives
A_ERNLWT 8 55 (00000000:99999999) 2 = Reference person without relatives
(CPS variable pworwgt) 3 = Husband
Earnings/not in labor force weight 4 = Wife
5 = Own child
7 = Grandchild
8 = Parent
Values: 2 implied decimals (example: 255212=2552.12) 9 = Brother/sister
00000000 = Not in universe or Children and Armed Forces 10 = Other relative
Universe: H_MIS=4 or 8 11 = Foster child
12 = Nonrelative with relatives
13 = Partner/roommate
A_FNLWGT 8 63 (0000000:999999999) 14 = Nonrelative without relatives
(CPS variable pwsswgt) Universe: All Persons
Final weight
A_FAMREL 1 84 (0:4)
Values: 2 implied decimals (example: 255212=2552.12)
0 = Additional supplement sample Family relationship
Universe: All Persons Values: 0 = Not a family member
1 = Reference person
2 = Spouse
SubTopic: ASEC Supplement 3 = Child
4 = Other relative (primary family)
MARSUPWT 8 71 (0000000:9999999999)
Universe: All Persons
ASEC Supplement final weight
A_FAMTYP 1 85 (1:5)
Values: 2 implied decimals (example: 255212=2552.12)
Universe: All persons Family type
Values: 1 = Primary family
2 = Nonfamily householder
Topic: Demographics 3 = Related subfamily
4 = Unrelated subfamily
SubTopic: Individual Characteristics 5 = Secondary individual
A_AGE 2 79 (00:85) Universe: All Persons
Age
A_FTPT 1 86 (0:2)
Values: 00-79 = 0-79 years of age
80 = 80-84 years of age Is ... enrolled in school as a full-time or part-time student
85 = 85+ years of age
Values: 0 = Not in universe or children and Armed Forces
Universe: All Persons
1 = Full time
2 = Part time
A_ENRLW 1 81 (0:2) Universe: A_ENRLW=1
Last week was ... attending or enrolled in a high school, college or
university
Values: 0 = Not in universe or children and Armed Forces
1 = Yes
2 = No
Universe: A_AGE=16-54
Data Dictionary 6C-2
Record Type: Person
Variable Length Position Range Variable Length Position Range
A_HGA 2 87 (0:46) AGE1 2 93 (0:17)
Item 18h - Educational attainment Age recode - Persons 15+ years
Values: 0 = Children Values: 0 = Not in universe
31 = Less than 1st grade 1 = 15 years
32 = 1st,2nd,3rd,or 4th grade 2 = 16 and 17 years
33 = 5th or 6th grade 3 = 18 and 19 years
34 = 7th and 8th grade 4 = 20 and 21 years
35 = 9th grade 5 = 22 to 24 years
36 = 10th grade 6 = 25 to 29 years
37 = 11th grade 7 = 30 to 34 years
38 = 12th grade no diploma 8 = 35 to 39 years
39 = High school graduate - high school diploma or 9 = 40 to 44 years
equivalent 10 = 45 to 49 years
40 = Some college but no degree 11 = 50 to 54 years
41 = Associate degree in college - occupation/vocation 12 = 55 to 59 years
program 13 = 60 to 61 years
42 = Associate degree in college - academic program 14 = 62 to 64 years
43 = Bachelor's degree (for example: BA,AB,BS) 15 = 65 to 69 years
44 = Master's degree (for example: 16 = 70 to 74 years
MA,MS,MENG,MED,MSW, MBA) 17 = 75 years and over
45 = Professional school degree (for example: Universe: All Persons
MD,DDS,DVM,LLB,JD)
46 = Doctorate degree (for example: PHD,EDD)
Universe: All Persons FL_665 1 95 (1:3)
Supplement Interview Status
A_HSCOL 1 89 (0:2) Values: 0 = Complete nonresponse to supplement
High School or College/University Enrollment Status 1 = Supplement interview
2 = Some supplement response but not enough for
Values: 0 = Not in universe or children and Armed Forces interview
1 = High school 3 = Supplement interview but not enough income data
2 = College or univ. Universe: All Persons
Universe: A_ENRLW=1
A_MARITL 1 90 (1:7)
Marital status
Values: 1 = Married - civilian spouse present
2 = Married - AF spouse present
3 = Married - spouse absent (exc.separated)
4 = Widowed
5 = Divorced
6 = Separated
7 = Never married
Universe: All Persons
A_PFREL 1 91 (0:5)
Primary family relationship
Values: 0 = Not in primary family
1 = Husband
2 = Wife
3 = Own child
4 = Other relative
5 = Unmarried reference person
Universe: All Persons
A_SEX 1 92 (1:2)
Sex
Values: 1 = Male
2 = Female
Universe: All Persons
Data Dictionary 6C-3
Record Type: Person
Variable Length Position Range Variable Length Position Range
HHDFMX 2 96 (1:51) HHDREL 1 98 (1:8)
Detailed household and family status Detailed household summary
Values: In primary family: Values: In household:
01 = Householder 1 = Householder
02 = Spouse of householder 2 = Spouse of householder
Child of householder: Child of householder:
Under 18, single (never married): 3 = Under 18 years, single (never married)
03 = Reference person of subfamily 4 = Under 18 years, ever married
04 = Not in a subfamily 5 = 18 years and over
Under 18, ever-married: Other household members:
05 = Reference person of subfamily 6 = Other relative of householder
06 = Spouse of subfamily reference person 7 = Nonrelative of householder
07 = Not in a subfamily In group quarters:
18 years and over, single (never married): 8 = Secondary individual
08 = Head of a subfamily Universe: All Persons
09 = Not in a subfamily
18 years and over, ever-married:
10 = Reference person of subfamily P_STAT 1 99 (1:3)
11 = Spouse of subfamily reference person
12 = Not in a subfamily Status of person identifier
Grandchild of householder:
Under 18, single (never married): Values: 1 = Civilian 15+
23 = Reference person of subfamily 2 = Armed Forces
24 = Child of a subfamily 3 = Children 0 - 14
25 = Not in a subfamily Universe: All Persons
Under 18, ever-married:
26 = Reference person of subfamily
27 = Spouse of subfamily reference person PARENT 1 100 (0:4)
28 = Not used
29 = Not in a subfamily Presence of parents
18 years and over, single (never married): Values: 0 = Not in universe
30 = Reference person of a subfamily 1 = Both parents present
31 = Not in a subfamily 2 = Mother only present
18 years and over, ever-married: 3 = Father only present
32 = Reference person of subfamily 4 = Neither parent present
33 = Spouse of subfamily reference person
Universe: Family members under 18 (excludes reference person
34 = Not in a subfamily
Other relative of householder: and spouse if under 18.)
Under 18, single (never married):
35 = Reference person of subfamily
PEAFEVER 2 101 (-1:2)
36 = Child of subfamily reference person
37 = Not in a subfamily Did you ever serve on active duty in the U.S. Armed Forces?
Under 18, ever-married:
38 = Reference person of subfamily Values: -1 = Not in universe
39 = Spouse of subfamily reference person 1 = Yes
40 = Not in a subfamily 2 = No
18 years and over, single (never married): Universe: A_AGE greater than or equal to 17
41 = Reference person of a subfamily
42 = Not in a subfamily
18 years and over, ever-married: PEAFWHN1 2 103 (-1:9)
43 = Reference person of subfamily
44 = Spouse of subfamily reference person When did you serve?
45 = Not in a subfamily Values: -1 = Not in universe
In unrelated subfamily: 1 = September 2001 or later
46 = Reference person of unrelated subfamily 2 = August 1990 to August 2001
47 = Spouse of unrelated subfamily reference person 3 = May 1975 to July 1990
48 = Child < 18, single (never married) of unrelated 4 = Vietnam Era (August 1964 to April 1975)
subfamily reference person 5 = February 1955 to July 1964
Not in a family: 6 = Korean War (July 1950 to January 1955)
49 = Nonfamily householder 7 = January 1947 to June 1950
50 = Secondary individual 8 = World War II (December 1941 to December 1946)
51 = In group quarters 9 = November 1941 or earlier
Universe: All Persons
Universe: PEAFEVER=1
Data Dictionary 6C-4
Record Type: Person
Variable Length Position Range Variable Length Position Range
PEAFWHN2 2 105 (-1:9) PECERT3 2 115 (0:2)
When did you serve? Is your certification required for your job? Main Job? Job from
which you are on layoff? Job at which you last worked?
Values: -1 = Not in universe
1 = September 2001 or later Values: -1 = Not in universe
2 = August 1990 to August 2001 1 = Yes
3 = May 1975 to July 1990 2 = No
4 = Vietnam Era (August 1964 to April 1975) Universe: PECERT1 = 1
5 = February 1955 to July 1964
6 = Korean War (July 1950 to January 1955)
7 = January 1947 to June 1950 PEDISDRS 2 117 (-4:2)
8 = World War II (December 1941 to December 1946)
9 = November 1941 or earlier Does...have difficulty dressing or bathing?
Universe: PEAFEVER=1 Values: -1 = NIU
1 = Yes
2 = No
PEAFWHN3 2 107 (-1:9) Universe: PRPERTYP = 2
When did you serve?
Values: -1 = Not in universe PEDISEAR 2 119 (-1:2)
1 = September 2001 or later
2 = August 1990 to August 2001 Is...deaf or does ...have serious difficulty hearing?
3 = May 1975 to July 1990 Values: -1 = NIU
4 = Vietnam Era (August 1964 to April 1975) 1 = Yes
5 = February 1955 to July 1964 2 = No
6 = Korean War (July 1950 to January 1955)
7 = January 1947 to June 1950 Universe: PRPERTYP = 2
8 = World War II (December 1941 to December 1946)
9 = November 1941 or earlier
PEDISEYE 2 121 (-1:2)
Universe: PEAFEVER=1
Is...blind or does...have serious difficulty seeing even when
Wearing glasses?
PEAFWHN4 2 109 (-1:9) Values: -1 = NIU
When did you serve? 1 = Yes
2 = No
Values: -1= Not in universe Universe: PRPERTYP = 2
1 = September 2001 or later
2 = August 1990 to August 2001
3 = May 1975 to July 1990 PEDISOUT 2 123 (-1:2)
4 = Vietnam Era (August 1964 to April 1975)
5 = February 1955 to July 1964 Because of a physical, mental, or emotional condition, does...have
6 = Korean War (July 1950 to January 1955) difficulty doing errands alone such as visiting a doctor’s office or
7 = January 1947 to June 1950 shopping?
8 = World War II (December 1941 to December 1946) Values: -1 = NIU
9 = November 1941 or earlier 1 = Yes
Universe: PEAFEVER=1 2 = No
Universe: PRPERTYP = 2
PECERT1 2 111 (0:2)
Do you have a currently active professional certification or a state PEDISPHY 2 125 (-1:2)
or industry license? Does...have serious difficulty Walking or climbing stairs?
Values: -1 = Not in universe
1 = Yes Values: -1 = NIU
2 = No 1 = Yes
2 = No
Universe: PRPERTYP = 02
Universe: PRPERTYP = 2
PECERT2 2 113 (0:2)
Were any of your certifications or licenses issued by the federal,
state, or local government?
Values: -1 = Not in universe
1 = Yes
2 = No
Universe: PECERT1 = 1
Data Dictionary 6C-5
Record Type: Person
Variable Length Position Range Variable Length Position Range
PEDISREM 2 127 (-1:2) PENATVTY 3 138 (-4:999)
Because of a physical, mental, or emotional condition, does...have In what country were you born?
serious difficulty concentrating, remembering, or making
decisions? Values: See Appendix H.
Values: -1 = NIU Universe: All Persons
1 = Yes
2 = No
PEPAR1TYP 2 141 (-1:3)
Universe: PRPERTYP = 2
Demographics type of Parent 1 (PEPAR1)
PEFNTVTY 3 129 (-4:999) Values: -1 = No Parent 1 present
1 = Biological
In what country was your father born? 2 = Step
3 = Adopted
Values: See Appendix H.
Universe: All Persons
Universe: All Persons
PEPAR2TYP 2 143 (-1:3)
PEHSPNON 1 132 (1:2)
Demographics type of Parent 2 (PEPAR2)
Are you Spanish, Hispanic, or Latino?
Values: -1 = No Parent 2 present
Values: 1 = Yes 1 = Biological
2 = No 2 = Step
Universe: All Persons 3 = Adopted
Universe: All Persons
PEINUSYR 2 133 (0:26)
When did you come to the U.S. to stay? PERRP 2 145 (40:59)
Values: 00 = NIU Expanded relationship categories
01 = Before 1950 Values: 40 = Reference Person with Relatives
02 = 1950-1959 41 = Reference Person without Relatives
03 = 1960-1964 42 = Opposite Sex Spouse
04 = 1965-1969 43 = Opposite Sex Unmarried Partner with Relatives
05 = 1970-1974 44 = Opposite Sex Unmarried Partner without Relatives
06 = 1975-1979 45 = Same Sex Spouse
07 = 1980-1981 46 = Same Sex Unmarried Partner with Relatives
08 = 1982-1983 47 = Same Sex Unmarried Partner without Relatives
09 = 1984-1985 48 = Child
10 = 1986-1987 49 = Grandchild
11 = 1988-1989 50 = Parent
12 = 1990-1991 51 = Brother/Sister
13 = 1992-1993 52 = Other relative of Reference Person
14 = 1994-1995 53 = Foster Child
15 = 1996-1997 54 = Housemate/Roommate with Relatives
16 = 1998-1999 55 = Housemate/Roommate without Relatives
17 = 2000-2001 56 = Roomer/Boarder with Relatives
18 = 2002-2003 57 = Roomer/Boarder without Relatives
19 = 2004-2005 58 = Other Nonrelative of Reference Person with
20 = 2006-2007 Relatives
21 = 2008-2009 59 = Other Nonrelative of Reference Person without
22 = 2010-2011 Relatives
23 = 2012-2013
24 = 2014-2015 Universe: All Persons
25 = 2016-2017
26 = 2018-2021
PRCITSHP 1 147 (-4:5)
Universe: All Persons
CITIZENSHIP GROUP
PEMNTVTY 3 135 (-4:999) Values: 1 = Native, born in US
2 = Native, born in PR or US outlying area
In what country was your mother born? 3 = Native, born abroad of US parent(s)
4 = Foreign born, US cit by naturalization
Values: See Appendix H. 5 = Foreign born, not a US citizen
Universe: All Persons Universe: All Persons
Data Dictionary 6C-6
Record Type: Person
Variable Length Position Range Variable Length Position Range
PRDASIAN 2 148 (-1:7) PRDTRACE 2 153 (1:26)
Detailed Asian Subgroup Race
Values: -1 = NIU Values: 01 = White only
1 = Asian Indian 02 = Black only
2 = Chinese 03 = American Indian, Alaskan Native only (AI)
3 = Filipino 04 = Asian only
4 = Japanese 05 = Hawaiian/Pacific Islander only (HP)
5 = Korean 06 = White-Black
6 = Vietnamese 07 = White-AI
7 = Other Asian 08 = White-Asian
Universe: PRDTRACE = 04 09 = White-HP
10 = Black-AI
11 = Black-Asian
PRDISFLG 2 150 (-1:2) 12 = Black-HP
13 = AI-Asian
Does this person have any of these disability conditions? 14 = AI-HP
15 = Asian-HP
Values: -1 = NIU 16 = White-Black-AI
1 = Yes 17 = White-Black-Asian
2 = No 18 = White-Black-HP
Universe: PRPERTYP = 2 19 = White-AI-Asian
20 = White-AI-HP
21 = White-Asian-HP
PRDTHSP 1 152 (0:8) 22 = Black-AI-Asian
23 = White-Black-AI-Asian
Detailed Hispanic recode 24 = White-AI-Asian-HP
Values: 0 = Not in universe 25 = Other 3 race comb.
1 = Mexican 26 = Other 4 or 5 race comb.
2 = Puerto Rican Universe: All Persons
3 = Cuban
4 = Dominican
5 = Salvadoran PRPERTYP 1 155 (-4:3)
6 = Central American, (exc. Salv)
7 = South American Type of person record recode
8 = Other Hispanic Values: 1 = Child household member
Universe: PEHSPNON=1 2 = Adult civilian household member
3 = Adult Armed Forces household member
Universe: All Persons
SubTopic: Allocation Flags
AXAGE 1 156 (0:4)
Allocation flag for A_AGE
Values: 0 =No change
4=Allocated
Universe: All Persons
AXENRLW 1 157 (0:4)
Allocation flag for A_ENRLW
Values: 0 = No change or children or armed forces
4 = Allocated
Universe: All Persons
AXFTPT 1 158 (0:4)
Allocation flag for A_FTPT
Values: 0 = No change or children or armed forces
4 = Allocated
Universe: All Persons
Data Dictionary 6C-7
Record Type: Person
Variable Length Position Range Variable Length Position Range
AXHGA 1 159 (0:4) PXAFWHN1 2 164 (-1:53)
Allocation flag for A_HGA Allocation flag for PEAFWHN1
Values: 0 = No change Values: -1 = Not allocated
4 = Allocated 00 = Value - no change
Universe: All Persons 01 = Blank - no change
02 = Don't know - no change
03 = Refused - no change
AXHSCOL 1 160 (0:4) 10 = Value to value
11 = Blank to value
Allocation flag for A_HSCOL 12 = Don't know to value
13 = Refused to value
Values: 0 = No change or children or armed forces 20 = Value to longitudinal value
4 = Allocated 21 = Blank to longitudinal value
Universe: All Persons 22 = Don't know to longitudinal value
23 = Refused to longitudinal value
30 = Value to allocated value long
AXSEX 1 161 (0:4) 31 = Blank to allocated value long
32 = Don't know to allocated value long
Allocation flag for A_SEX 33 = Refused to allocated value long
Values: 0 = No change 40 = Value to allocated value
4 = Allocated 41 = Blank to allocated value
42 = Don't know to allocated value
Universe: All Persons 43 = Refused to allocated value
50 = Value to blank
52 = Don't know to blank
PXAFEVER 2 162 (0:53) 53 = Refused to blank
Allocation flag for PEAFEVER Universe: PEAFEVER=1
Values: 00 = Value - no change or NIU
01 = Blank - no change PXCERT1 2 166 (0:53)
02 = Don't know - no change
03 = Refused - no change Allocation flag for PECERT1
10 = Value to value
11 = Blank to value Values: -1 = Not in Universe for Certification Edit
12 = Don't know to value 00 = Not allocated
13 = Refused to value 01 = Blank - no change
20 = Value to longitudinal value 02 = Don't know - no change
21 = Blank to longitudinal value 03 = Refused - no change
22 = Don't know to longitudinal value 10 = Value to value
23 = Refused to longitudinal value 11 = Blank to value
30 = Value to allocated value long 12 = Don't know to value
31 = Blank to allocated value long 13 = Refused to value
32 = Don't know to allocated value long 20 = Value to longitudinal value
33 = Refused to allocated value long 21 = Blank to longitudinal value
40 = Value to allocated value 22 = Don't know to longitudinal value
41 = Blank to allocated value 23 = Refused to longitudinal value
42 = Don't know to allocated value 30 = Value to allocated value long
43 = Refused to allocated value 31 = Blank to allocated value long
50 = Value to blank 32 = Don't know to allocated value long
52 = Don't know to blank 33 = Refused to allocated value long
53 = Refused to blank 40 = Value to allocated value
41 = Blank to allocated value
Universe: All Persons 42 = Don't know to allocated value
43 = Refused to allocated value
50 = Value to blank
52 = Don't know to blank
53 = Refused to blank
Universe: All Persons
PXCERT2 2 168 (0:53)
Allocation flag for PECERT2
Values: values are the same as PXCERT1
Universe: All Persons
Data Dictionary 6C-8
Record Type: Person
Variable Length Position Range Variable Length Position Range
PXCERT3 2 170 (0:53) PXDISEAR 2 176 (-1:53)
Allocation flag for PECERT3 Allocation Flag
Values: values are the same as PXCERT1 Values: -1 = Not allocated
Universe: All Persons 00 = Value - no change
01 = Blank - no change
02 = Don't know - no change
PXCOHAB 2 172 (-1:53) 03 = Refused - no change
10 = Value to value
Demographics allocation flag for PECOHAB 11 = Blank to value
12 = Don't know to value
Values: -1 = Not allocated 13 = Refused to value
00 = Value - no change 20 = Value to longitudinal value
01 = Blank - no change 21 = Blank to longitudinal value
02 = Don't know - no change 22 = Don't know to longitudinal value
03 = Refused - no change 23 = Refused to longitudinal value
10 = Value to value 30 = Value to allocated value long
11 = Blank to value 31 = Blank to allocated value long
12 = Don't know to value 32 = Don't know to allocated value long
13 = Refused to value 33 = Refused to allocated value long
20 = Value to longitudinal value 40 = Value to allocated value
21 = Blank to longitudinal value 41 = Blank to allocated value
22 = Don't know to longitudinal value 42 = Don't know to allocated value
23 = Refused to longitudinal value 43 = Refused to allocated value
30 = Value to allocated value long 50 = Value to blank
31 = Blank to allocated value long 52 = Don't know to blank
32 = Don't know to allocated value long 53 = Refused to blank
33 = Refused to allocated value long
40 = Value to allocated value Universe: All Persons
41 = Blank to allocated value
42 = Don't know to allocated value
43 = Refused to allocated value PXDISEYE 2 178 (-1:53)
50 = Value to blank Allocation Flag
52 = Don't know to blank
53 = Refused to blank Values: Values same as PXDISEAR
Universe: All Persons Universe: All Persons
PXDISDRS 2 174 (-1:53) PXDISOUT 2 180 (-1:53)
Allocation Flag Allocation Flag
Values: Values same as PXDISEAR Values: Values same as PXDISEAR
Universe: All Persons Universe: All Persons
PXDISPHY 2 182 (-1:53)
Allocation Flag
Values: Values same as PXDISEAR
Universe: All Persons
PXDISREM 2 184 (-1:53)
Allocation Flag
Values: Values same as PXDISEAR
Universe: All Persons
PXFNTVTY 2 186 (0:53)
Allocation flag for PEFNTVTY
Values: Same as PXNATVTY
Universe: All Persons
Data Dictionary 6C-9
Record Type: Person
Variable Length Position Range Variable Length Position Range
PXHSPNON 2 188 (0:53) PXMNTVTY 2 194 (0:53)
Allocation flag for PEHSPNON Allocation flag for PEMNTVTY
Values: 00 = Not allocated Values: Same as PXNATVTY
01 = Blank - no change Universe: All Persons
02 = Don't know - no change
03 = Refused - no change
10 = Value to value PXNATVTY 2 196 (0:53)
11 = Blank to value
12 = Don't know to value Allocation flag for PENATVTY
13 = Refused to value
20 = Value to longitudinal value Values: 00 = Not allocated
21 = Blank to longitudinal value 01 = Blank - no change
22 = Don't know to longitudinal value 02 = Don't know - no change
23 = Refused to longitudinal value 03 = Refused - no change
30 = Value to allocated value long 10 = Value to value
31 = Blank to allocated value long 11 = Blank to value
32 = Don't know to allocated value long 12 = Don't know to value
33 = Refused to allocated value long 13 = Refused to value
40 = Value to allocated value 20 = Value to longitudinal value
41 = Blank to allocated value 21 = Blank to longitudinal value
42 = Don't know to allocated value 22 = Don't know to longitudinal value
43 = Refused to allocated value 23 = Refused to longitudinal value
50 = Value to blank 30 = Value to allocated value long
52 = Don't know to blank 31 = Blank to allocated value long
53 = Refused to blank 32 = Don't know to allocated value long
33 = Refused to allocated value long
Universe: All Persons 40 = Value to allocated value
41 = Blank to allocated value
42 = Don't know to allocated value
PXINUSYR 2 190 (0:53) 43 = Refused to allocated value
Allocation flag for PEINUSYR 50 = Value to blank
52 = Don't know to blank
Values: Same as PXNATVTY 53 = Refused to blank
Universe: All Persons Universe: All Persons
PXMARITL 2 192 (-4:53) PXPAR1 2 198 (-1:53)
Allocation flag for A_MARITL Demographics Allocation flag for PEPAR1
Values: -1 = Not allocated Values: 00 = Not allocated
00 = Value - no change 01 = Blank - no change
01 = Blank - no change 02 = Don't know - no change
02 = Don't know - no change 03 = Refused - no change
03 = Refused - no change 10 = Value to value
10 = Value to value 11 = Blank to value
11 = Blank to value 12 = Don't know to value
12 = Don't know to value 13 = Refused to value
13 = Refused to value 20 = Value to longitudinal value
20 = Value to longitudinal value 21 = Blank to longitudinal value
21 = Blank to longitudinal value 22 = Don't know to longitudinal value
22 = Don't know to longitudinal value 23 = Refused to longitudinal value
23 = Refused to longitudinal value 30 = Value to allocated value long
30 = Value to allocated value long 31 = Blank to allocated value long
31 = Blank to allocated value long 32 = Don't know to allocated value long
32 = Don't know to allocated value long 33 = Refused to allocated value long
33 = Refused to allocated value long 40 = Value to allocated value
40 = Value to allocated value 41 = Blank to allocated value
41 = Blank to allocated value 42 = Don't know to allocated value
42 = Don't know to allocated value 43 = Refused to allocated value
43 = Refused to allocated value 50 = Value to blank
50 = Value to blank 52 = Don't know to blank
52 = Don't know to blank 53 = Refused to blank
53 = Refused to blank Universe: All Persons
Universe: All persons 15+
Data Dictionary 6C-10
Record Type: Person
Variable Length Position Range Variable Length Position Range
PXPAR1TYP 2 200 (-1:53) PXRRP 2 208 (-4:53)
Allocation flag for PEPAR1TYP Allocation flag for PERRP
Values: Same as PXPAR1 Values: -1 = Not allocated
Universe: All Persons 00 = Value - no change
01 = Blank - no change
02 = Don't know - no change
PXPAR2 2 202 (-1:53) 03 = Refused - no change
10 = Value to value
Allocation flag for PEPAR2 11 = Blank to value
12 = Don't know to value
Values: Same as PXPAR1 13 = Refused to value
Universe: All Persons 20 = Value to longitudinal value
21 = Blank to longitudinal value
22 = Don't know to longitudinal value
PXPAR2TYP 2 204 (-1:53) 23 = Refused to longitudinal value
30 = Value to allocated value long
Allocation flag for PEPAR2TYP 31 = Blank to allocated value long
Values: Same as PXPAR1 32 = Don't know to allocated value long
33 = Refused to allocated value long
Universe: All Persons 40 = Value to allocated value
41 = Blank to allocated value
42 = Don't know to allocated value
PXRACE1 2 206 (0:53) 43 = Refused to allocated value
Allocation flag for PRDTRACE 50 = Value to blank
52 = Don't know to blank
Values: 00 = Not allocated 53 = Refused to blank
01 = Blank - no change Universe: All persons
02 = Don't know - no change
03 = Refused - no change
10 = Value to value Topic: Basic CPS Items
11 = Blank to value
12 = Don't know to value SubTopic: Edited Labor Force Items
13 = Refused to value
20 = Value to longitudinal value A_HRS1 2 210 (-1:99)
21 = Blank to longitudinal value
22 = Don't know to longitudinal value How many hrs did ... work last week at all jobs?
23 = Refused to longitudinal value
30 = Value to allocated value long Values: -1 = Not in universe
31 = Blank to allocated value long 00 = Children and Armed Forces
32 = Don't know to allocated value long 01-99 = Number of hrs
33 = Refused to allocated value long Universe: PEMLR=1
40 = Value to allocated value
41 = Blank to allocated value
42 = Don't know to allocated value A_MJIND 2 212 (-1:14)
43 = Refused to allocated value
50 = Value to blank Major industry code
52 = Don't know to blank Values: 0 = Not in universe, or children
53 = Refused to blank 1 = Agriculture, forestry,fishing, and hunting
Universe: All Persons 2 = Mining, quarrying, and oil and gas extraction
3 = Construction
4 = Manufacturing
5 = Wholesale and retail trade
6 = Transportation, warehousing and utilities
7 = Information
8 = Finance and insurance, and real estate and rental and
leasing
9 = Professional, scientific, management and
adminstrative, and waste mangement services
10 = Educational services, and health care and social
assistance
11 = Arts, entertainment, recreation and accomodation,
and food services
12 = Other services, except public adminstration
13 = Public administration
14 = Military
Universe: A_CLSWKR = 1-7
Data Dictionary 6C-11
Record Type: Person
Variable Length Position Range Variable Length Position Range
A_MJOCC 2 214 (-1:11) PRDISC 1 228 (0:3)
Major occupation recode Discouraged worker recode
Values: 0 = Not in universe or children Values: 0 = NIU
1 = Management, business, and financial occupations 1 = Discouraged worker
2 = Professional and related occupations 2 = Conditionally interested
3 = Service occupations 3 = Not available
4 = Sales and related occupations Universe: All Persons
5 = Office and administrative support occupations
6 = Farming, fishing, and forestry occupations
7 = Construction and extraction occupations PRUNTYPE 1 229 (0:6)
8 = Installation, maintenance, and repair occupations
9 = Production occupations Reason for unemployment
10 = Transportation and material moving occupations
11 = Military specific occupations Values: 0 = NIU
1 = Job loser/on layoff
Universe: A_CLSWKR=1-7 2 = Other job loser
3 = Temporary job ended
4 = Job leaver
PEABSRSN 2 216 (0:14) 5 = Re-entrant
What was the main reason...was absent from work last week? 6 = New-entrant
Universe: All Persons
Values: 0 = NIU
2 = Slack work/business conditions
4 = Vacation/personal days SubTopic: Edited Earnings Items
5 = Own illness/injury/medical problems
6 = Child care problems A_GRSWK 4 230 (0:2885)
7 = Other family/personal obligation
8 = Maternity/paternity leave How much does ... usually earn per week at this job before
9 = Labor dispute deductions , subject to topcoding, the higher of either the amount
10 = Weather affected job of item 25a times Item 25c or the actual item 25d entry will be
11 = School/training present.
12 = Civic/military duty Values: 0000 = Not in universe or children or Armed Forces
13 = Does not work in the business 0001-2885 = Dollar amount
14 = Other (specify)
Universe: PRERELG=1
Universe: PEMLR = 2
A_HERNTF 1 234 (0:1)
PEIO1COW 2 218 (-4:11)
Current earnings - Hourly pay Topcoded flag
Individual class of worker on first job.
Values: 0 = Not topcoded
Values: 0 = NIU 1 = Topcoded
1 = Government-federal
2 = Government-state Universe: All Persons
3 = Government - local
4 = Private, for profit
5 = Private, nonprofit A_HRLYWK 1 235 (0:2)
6 = Self-employed, incorporated Is ... paid by the hour on this job?
7 = Self-employed, unincorporated
8 = Without pay Values: 0 = Not in universe or children and Armed Forces
Universe: All Persons 1 = Yes
2 = No
Universe: PRERELG=1
PEIOIND 4 220 (0:9999)
Industry A_HRSPAY 4 236 (0:9999)
Values: 0 = Not in universe or children How much does ... earn per hour?
See Appendix A for list of legal codes
Universe: CLSWKR = 1-7 Values: 0000 = Not in universe or children and Armed Forces
0001-9999 = Entry (2 implied decimal places)
Universe: A_HRLYWK=1
PEIOOCC 4 224 (-1:9999)
Occupation
Values: -1 = Not in universe or children
See Appendix B for list of legal codes
Universe: CLSWKR = 1-7
Data Dictionary 6C-12
Record Type: Person
Variable Length Position Range Variable Length Position Range
PRERELG 1 240 (0:1) A_FTLF 1 249 (0:1)
Earnings eligibility flag Full/time labor force
Values: 0 = Not earnings eligible Values: 0 = Not in universe or children and Armed Forces
1 = Earnings eligible 1 = In universe
Universe: All Persons Universe: PEMLR=1-4
PRWERNAL 1 241 (0:1) A_LFSR 1 250 (0:7)
Allocation flag for A_GRSWK Labor force status recode
Values: 0 = Not allocated Values: 0 = Children or Armed Forces
1 = Allocated 1 = Working
Universe: PRERELG=1 2 = With job, not at work
3 = Unemployed, looking for work
4 = Unemployed, on layoff
SubTopic: Labor Force Person Recodes 7 = Nilf
Universe: All Persons
A_CIVLF 1 242 (0:1)
Civilian labor force A_NLFLJ 1 251 (-1:7)
Values: 0 = Not in universe or children and Armed Forces When did ... last work for pay at a regular job or business,
1 = In universe either full- time or part-time
Universe: All Persons Values: 0 = Not in universe or children and Armed Forces
1 = Within a past 12 months
3 = More than 12 months ago
A_CLSWKR 1 243 (0:8) 7 = Never worked
Class of worker Universe: PEMLR=5,6,or 7
Values: 0 = Not in universe or children and Armed Forces
1 = Private A_PAYABS 1 252 (0:3)
2 = Federal government
3 = State government Is ... receiving wages or salary for any of the time off last week?
4 = Local government
5 = Self-employed-incorporated Values: 0 = Not in universe or children and Armed Forces
6 = Self-employed-not incorporated 1 = Yes
7 = Without pay 2 = No
8 = Never worked 3 = Self-employed
Universe: PEMLR=1-3 or (PEMLR=4-7 and person worked in the Universe: PEMLR = 2
last 12 months)
A_UNCOV 1 253 (0:2)
A_DTIND 2 244 (0:52) On this job, is ... covered by a union or employee association
Detailed industry recode contract?
See Appendix A for list of legal codes Values: 0 = Not in universe or children and Armed Forces
Values: 00=Not in universe or children or Armed Forces 1 = Yes
2 = No
Universe: A_CLSWKR=1-7
Universe: A_UNMEM=2
A_DTOCC 2 246 (0:23)
A_UNMEM 1 254 (0:2)
Detailed occupation recode
See Appendix B for list of legal codes On this job, is ... a member of a labor union or of an employee
association similar to a union?
Values: 00 =Not in universe for children or Armed Forces
Values: 0 = Not in universe or children and Armed Forces
Universe: A_CLSWKR=1-7 1 = Yes
2 = No
A_EXPLF 1 248 (0:2) Universe: PRERELG=1
Experienced labor force employment status
Values: 0 = Not in experienced labor force
1 = Employed
2 = Unemployed
Universe: PEMLR=1-4
Data Dictionary 6C-13
Record Type: Person
Variable Length Position Range Variable Length Position Range
A_UNTYPE 1 255 (0:5) A_WHYABS 1 262 (0:8)
Reason for unemployment Why was ... absent from work last week?
Values: 0 = Not in universe or children and Armed Forces Values: 0 = Not in universe or children and Armed Forces
1 = Job loser - on layoff 1 = Own illness
2 = Other job loser 2 = On vacation
3 = Job leaver 3 = Bad weather
4 = Re-entrant 4 = Labor dispute
5 = New entrant 8 = Other
Universe: A_LFSR=3 or 4 Universe: PEMLR=2
A_USLFT 1 256 (0:2) A_WKSCH 1 263 (0:4)
Does ... usually work 35 hrs or more a week at this job? Labor force by time worked or lost
Values: 0 = Not in universe or children and Armed Forces Values: 0 = Not in universe
1 = Yes 1 = At work
2 = No 2 = With job, not at work
Universe: A_HRS1 LE 34 3 = Unemployed, seeks FT
4 = Unemployed, seeks PT
Universe: All Persons
A_USLHRS 2 257 (-4:99)
How many hrs per week does ... usually work at this job? A_WKSLK 3 264 (0:99)
Values: -4 = Hours vary Duration of unemployment
-1 = Not in universe
00 = None, no hours Values: 000 = NIU, Children or Armed Forces
01-99 = Entry 001-999 = Entry
Universe: All Persons Universe: PEMLR=3 or 4
A_WANTJB 1 259 (0:2) A_WKSTAT 1 267 (0:7)
Does ... want a regular job now, either full or part-time? Full/part-time status
Values: 0 = Not in universe or children and Armed Forces Values: 0 = Children or Armed Forces
1 = Yes 1 = Not in labor force
2 = No 2 = Full-time schedules
Universe: PEMLR=5,6,7 3 = Part-time for economic reasons, usually FT
4 = Part-time for non-economic reasons, usually PT
5 = Part-time for economic reasons, usually PT
A_WERNTF 1 260 (0:1) 6 = Unemployed FT
7 = Unemployed PT
Current earnings - Weekly pay Topcoded flag Universe: All Persons
Values: 0 = Not topcoded
1 = Topcoded
PEHRUSLT 3 268 (-4:198)
Universe: All Persons
Hours usually worked last week
A_WHENLJ 1 261 (0:5) Values: -4 = Hours vary
-1 = NIU - adult civilian
When did ... last work? 000 = NIU - children or Armed Forces or no hours
1-198 = # of hours
Values: 0 = Not in universe or children and Armed Forces
1 = In last 12 months Universe: All Persons
2 = More than 12 months ago
5 = Never worked at all
Universe: PEMLR=4
Data Dictionary 6C-14
Record Type: Person
Variable Length Position Range Variable Length Position Range
PEMLR 1 271 (0:7) PRWKSTAT 2 276 (0:12)
Major labor force recode Full/part-time work status
Values: 0 = NIU Values: 00 = NIU
1 = Employed - at work 01 = Not in labor force
2 = Employed - absent 02 = FT hours (35+), usually FT
3 = Unemployed - on layoff 03 = PT for economic reasons, usually FT
4 = Unemployed - looking 04 = PT for non-economic reasons, usually FT
5 = Not in labor force - retired 05 = Not at work, usually FT
6 = Not in labor force - disabled 06 = PT hrs, usually PT for economic reasons
7 = Not in labor force - other 07 = PT hrs, usually PT for non-economic
Universe: All Persons 08 = FT hours, usually PT for economic reasons
09 = FT hours, usually PT for non-economic reasons
10 = Not at work, usually part-time
PRCOW1 1 272 (0:6) 11 = Unemployed FT
12 = Unemployed PT
Class of worker recode-job 1 Universe: All Persons
Values: 0 = NIU
1 = Federal govt
2 = State govt SubTopic: Allocation Flags
3 = Local govt
4 = Private (incl. self-employed incorp.) AXCLSWKR 1 278 (0:4)
5 = Self-employed, unincorp. Allocation flag for A_CLSWKR
6 = Without pay
Universe: All Persons Values: 0 = No change or children or armed forces
4 = Allocated
Universe: All Persons
PRNLFSCH 1 273 (0:2)
Not in Labor Force (NLF) activity in school or not in school AXHRLYWK 1 279 (0:4)
Values: 0 = NIU Allocation flag for A_HRLYWK
1 = In school
2 = Not in school Values: 0 = No change or children or armed forces
Universe: All Persons 4 = Allocated
Universe: All Persons
PRPTREA 2 274 (0:23)
AXHRS 1 280 (0:4)
Detailed reason for part-time
Allocation flag for A_HRS
Values: 0 = NIU
1 = Usually FT - slack work/business conditions Values: 0 = No change or children or armed forces
2 = Usually FT - seasonal work 4 = Allocated
3 = Usually FT - job started/ended during week Universe: All Persons
4 = Usually FT - vacation/personal day
5 = Usually FT - own illness/injury/medical appt
6 = Usually FT - holiday (religious or legal) AXLFSR 1 281 (0:4)
7 = Usually FT - child care problems
8 = Usually FT - other fam/pers obligations Allocation flag for A_LFSR
9 = Usually FT - labor dispute
10 = Usually FT - weather affected job Values: 0 = No change or children or armed forces
11 = Usually FT - school/training 4 = Allocated
12 = Usually FT - civic/military duty Universe: All Persons
13 = Usually FT - other reason
14 = Usually PT - slack work/business conditions
15 = Usually PT - PT could only find PT work AXNLFLJ 1 282 (0:4)
16 = Usually PT - seasonal work
17 = Usually PT - child care problems Allocation flag for A_NLFLJ
18 = Usually PT - other fam/pers obligations Values: 0 = No change or children or armed forces
19 = Usually PT - health/medical limitations 4 = Allocated
20 = Usually PT - school/training
21 = Usually PT - retired/social security limit on earnings Universe: All Persons
22 = Usually PT - workweek<35 hours
23 = Usually PT - other
Universe: Part time workers
Data Dictionary 6C-15
Record Type: Person
Variable Length Position Range Variable Length Position Range
AXPAYABS 1 283 (0:4) PXSPOUSE 2 291 (-4:53)
Allocation flag for A_PAYABS Allocation flag for A_SPOUSE
Values: 0 = No change or children or armed forces Values: -1 = Not allocated
4 = Allocated 00 = Value - no change
Universe: All Persons 01 = Blank - no change
02 = Don't know - no change
03 = Refused - no change
AXUNCOV 1 284 (0:4) 10 = Value to value
11 = Blank to value
Allocation flag for A_UNCOV 12 = Don't know to value
13 = Refused to value
Values: 0 = No change or children or armed forces 20 = Value to longitudinal value
4 = Allocated 21 = Blank to longitudinal value
Universe: All Persons 22 = Don't know to longitudinal value
23 = Refused to longitudinal value
30 = Value to allocated value long
AXUNMEM 1 285 (0:4) 31 = Blank to allocated value long
32 = Don't know to allocated value long
Allocation flag for AXUNMEM 33 = Refused to allocated value long
Values: 0 = No change or children or armed forces 40 = Value to allocated value
4 = Allocated 41 = Blank to allocated value
42 = Don't know to allocated value
Universe: All Persons 43 = Refused to allocated value
50 = Value to blank
52 = Don't know to blank
AXUSLHRS 1 286 (0:4) 53 = Refused to blank
Allocation flag for AXUSLHRS Universe: A_MARITL=1 or 2
Values: 0 = No change or children or armed forces
4 = Allocated Topic: Work Experience
Universe: All Persons
SubTopic: General
AXWHYABS 1 287 (0:4) CLWK 1 293 (0:5)
Allocation flag for AXWHYABS LONGEST JOB CLASS OF WORKER (RECODE)
Values: 0 = No change or children or armed forces Values: 0 = NIU
4 = Allocated 1 = PRIVATE
Universe: All Persons 2 = GOVERNMENT
3 = SELF-EMPLOYED
4 = WITHOUT PAY
PRCITFLG 2 288 (0:53) 5 = NEVER WORKED
Universe: All Persons aged 15+
Allocation flag for PRCITSHP
Values: 00 = Value - no change
10 = Value to value EARNER 1 294 (0:2)
21 = Blank to longitudinal value EARNER STATUS RECODE
40 = Value to allocated value
41 = Blank to allocated value Values: 0 = NIU
Universe: All persons 1 = EARNER
2 = NONEARNER
Universe: All Persons aged 15+
PRHERNAL 1 290 (0:1)
Allocation flag for A_HRSPAY 1 295 (0:2)
HRCHECK
Values: 0 = Not allocated interviewer check item - number of hours in item 41 is?
1 = Allocated
Universe: All Persons Values: 0 = niu
1 = part time
2 = full time
Universe: WKSWORK > 0
Data Dictionary 6C-16
Record Type: Person
Variable Length Position Range Variable Length Position Range
HRSWK 2 296 (0:99) LOSEWKS 1 307 (0:2)
In the weeks that ... worked how may hours did ... usually work per Did ... lose any full weeks of work in 20.. because was on layoff
week? from a job or lost a job?
Values: 0 = niu Values: 0 = niu
1 = 1 hour ... 99 = 99 hours plus 1 = yes
Universe: WKSWORK > 0 2 = no
Universe: WKSWORK = 50 or 51
INDUSTRY 4 298 (0:9999)
NOEMP 1 308 (0:6)
Industry of longest job last year. See Appendix A for values.
Counting all locations where this employer operates, what is the
Values: 0 = niu total number of persons who work for ...'s employer?
1-9999 = industry code
Values: 0 = niu
Universe: WKSWORK > 0 1 = under 10
2 = 10 - 24
3 = 25 - 99
LJCW 1 302 (0:7) 4 = 100 - 499
longest job class of worker 5 = 500 - 999
6 = 1000+
Values: 0 = niu Universe: WKSWORK > 0
1 = private
2 = federal
3 = state NWLKWK 2 309 (0:52)
4 = local
5 = self employed incorporated, yes How may different weeks was ... looking for work or on layoff?
6 = self employed incorporated, no or farm
7 = without pay Values: 0 = niu
1 = 1 week ... 52 = 52 weeks
Universe: WKSWORK > 0
Universe: NWLOOK = 1
LKNONE 1 303 (0:1)
NWLOOK 1 311 (0:2)
You said... worked about (entry in item 33) weeks in 20... how
many of the remaining (52 minus entry in item 33) weeks was ... Even though ... did not work in 20.. did spend and time trying to
looking for work or on layoff from a job? find a job or on layoff?
Values: 0 = niu Values: 0 = niu
1 = no weeks looking for work or on layoff 1 = yes
2 = no
Universe: WKSWORK = 1-51
Universe: WORKYN = 2
LKSTRCH 1 304 (0:3)
OCCUP 4 312 (0:9999)
Were the (entry in item 36) weeks ... was looking for work (or on
layoff), all in one stretch? Occupation of longest job last year. See Appendix B for values.
Values: 0 = niu Values: 0 = niu;
1 = yes, 1 stretch 1-9999 = occupation code
2 = no, 2 stretches Universe: WKSWORK > 0
3 = no, 3 plus stretches
Universe: Entry in LKWEEKS
PHMEMPRS 1 316 (0:3)
LKWEEKS 2 305 (0:51) For how many employers did ... work in 20..? if more than one at
same time, only count it as one employer.
In how many of the remaining weeks was ... looking for work or on Values: 0 = niu
layoff from a job? 1 = one employer
Values: 0 = niu 2 = two employers
1 = 01 weeks ... 51 = 51 weeks 3 = 3 or more employers
Universe: WKSWORK = 1-51 Universe: WKSWORK > 0
POCCU2 2 317 (0:53)
OCCUP. OF LONGEST JOB BY DETAILED GROUPS
Values: See Appendix B for values and descriptions
Universe: WKSWORK > 0
Data Dictionary 6C-17
Record Type: Person
Variable Length Position Range Variable Length Position Range
PTRSN 1 319 (0:4) WECLW 1 325 (0:9)
What was the main reason ... worked less than 35 hours per PERSONS 15+ -- LONGEST JOB CLASS OF WORKER
week?
Values: 0 = NOT IN UNIVERSE
Values: 0 = niu AGRICULTURE:
1 = could only find pt job 1 = WAGE AND SALARY
2 = wanted part time 2 = SELF-EMPLOYED
3 = slack work 3 = UNPAID
4 = other NONAGRICULTURE:
Universe: PTYN=1 or HRCHECK=1 4 = PRIVATE HOUSEHOLD
5 = OTHER PRIVATE
6 = GOVERNMENT
PTWEEKS 2 320 (0:52) 7 = SELF-EMPLOYED
8 = UNPAID
How many weeks did ... work less than 35 hours in 20..? 9 = NEVER WORKED
Values: 0 = niu Universe: All Persons aged 15+
1 = 1 week ... 52 = 52 weeks
Universe: PTYN=1 or HRCHECK=1
WEIND 2 326 (0:23)
IND. OF LONGEST JOB BY DETAILED GROUPS
PTYN 1 322 (0:2)
Values: 1 = Agriculture, forestry, fishing, and hunting
Did ... work less than 35 hours for at least one week in 20..? 2 = Mining, Quarrying, and Oil and Gas Extraction
(exclue time off with pay because of holidays, vacation, days off, 3 = Construction
or sickness.) 4 = Durable goods manufacturing
Values: 0 = niu 5 = Nondurable goods manufacturing
1 = yes 6 = Wholesale trade
2 = no 7 = Retail trade
Universe: HRCHECK = 2 8 = Transportation and warehousing
9 = Utilities
10 = Information
PYRSN 1 323 (0:6) 11 = Finance and insurance
12 = Real estate and rental and leasing
What was the main reason ... was not working or looking for work 13 = Professional, scientific, & technical services
in the remaining weeks of 20..? 14 = Management of companies and enterprises,
Values: 0 = niu administrative and support, and waste management
1 = ill or disabled services
2 = taking care of home 15 = Educational services
3 = going to school 16 = Health care and social assistance
4 = retired 17 = Arts, entertainment, and recreation
5 = no work available 18 = Accommodations and food service
6 = other 19 = Private households
20 = Other services, except private households and public
Universe: Sum of entries in WKSWORK and LKWEEKS add to a administration
number less than 52 21 = Public administration
22 = Military
23 = Never Worked
RSNNOTW 1 324 (0:6)
Universe: All Persons aged 15+
What was the main reason ... did not work in 20..?
Values: 0 = niu WELKNW 1 328 (0:7)
1 = ill or disabled
2 = retired WEEKS LOOKING - NONWORKERS RECODE
3 = taking care of home
4 = going to school Values: 0 = NIU
5 = could not find work 1 = NONE (NOT LOOKING FOR WORK)
6 = other 2 = 1 TO 4 WEEKS LOOKING
3 = 5 TO 14 WEEKS LOOKING
Universe: WORKYN = 2 4 = 15 TO 26 WEEKS LOOKING
5 = 27 TO 39 WEEKS LOOKING
6 = 40 OR MORE WEEKS LOOKING
7 = WORKERS WHOSE ENTRIES
Universe: All Persons aged 15+
Data Dictionary 6C-18
Record Type: Person
Variable Length Position Range Variable Length Position Range
WEMIND 2 329 (0:15) WKCHECK 1 337 (0:3)
IND. OF LONGEST JOB BY MAJOR IND. GROUPS Interviewer check item - number of weeks in item 34
Values: 0 = NIU Values: 0 = niu
See Appendix A for vlaues. 1 = 1-49 weeks
Universe: All Persons aged 15+ 2 = 50-51 weeks
3 = 52 weeks
Universe: Persons 15+ with WORKYN = 1
WEMOCG 2 331 (0:24)
OCCUP. OF LONGEST JOB BY MAJOR GROUPS WKSWORK 2 338 (0:52)
Values: 0 = NIU During 20.. in how many weeks did ... work even for a few hours?
See Appendix B for values. (include paid vacation and sick leave as work.)
Universe: All Persons aged 15+ Values: 0 = niu
1 = 1 week ... 52 = 52 weeks
WEUEMP 1 333 (0:9) Universe: Persons 15+ with WORKYN = 1
PART YEAR WORKER WEEKS RECODE LOOKING
WORKYN 1 340 (0:2)
Values: 0 = NIU
1 = NONE Did ... work at a job or business at any time during 20..?
2 = 1 TO 4 WEEKS
3 = 5 TO 10 WEEKS Values: 0 = niu
4 = 11 TO 14 WEEKS 1 = yes
5 = 15 TO 26 WEEKS 2 = no
6 = 27 TO 39 WEEKS Universe: All Persons aged 15+
7 = 40 OR MORE WEEKS
8 = FULL YEAR WORKER
9 = NONWORKER WRK_CK 1 341 (0:2)
Universe: All Persons aged 15+ Worked last year recode, including temporary and part-time
Values: 0 = niu
WEWKRS 1 334 (0:5) 1 = yes
2 = no
WEEKS WORKED RECODE
Universe: All persons 15+
Values: 0 = NIU
FULL YEAR WORKER:
1 = FULL TIME WTEMP 1 342 (0:2)
2 = PART TIME
PART YEAR WORKER: Did ... do any temporary, part-time, or seasonal work even for a
3 = FULL TIME few days during 20..?
4 = PART TIME Values: 0 = niu
5 = NONWORKER 1 = yes
Universe: All Persons aged 15+ 2 = no
Universe: WORKYN = 2
WEXP 2 335 (0:13)
WORKED FULL/PART TIME RECODE
SubTopic: Allocation Flags
Values: 00 = NIU WORKED I_HRCHK 1 343 (0:9)
FULL TIME: Allocation flag for HRCHECK
01 = 50 TO 52 WEEKS
02 = 48 TO 49 WEEKS Values: 0 = No change
03 = 40 TO 47 WEEKS 1 = Allocated
04 = 27 TO 39 WEEKS 9 = Full record imputation (FL_665 ≠ 1)
05 = 14 TO 26 WEEKS Universe: HRCHECK > 0
06 = 13 WEEKS OR LESS WORKED
PART TIME:
07 = 50 TO 52 WEEKS 1 344 (0:9)
I_HRSWK
08 = 48 TO 49 WEEKS
09 = 40 TO 47 WEEKS Allocation flag for HRSWK
10 = 27 TO 39 WEEKS
11 = 14 TO 26 WEEKS Values: 0 = No change
12 = 13 WEEKS OR LESS 1 = Allocated
13 = NONWORKER 9 = Full record imputation (FL_665 ≠ 1)
Universe: All Persons aged 15+ Universe: HRSWK > 0
Data Dictionary 6C-19
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_INDUS 1 345 (0:9) I_NWLOOK 1 352 (0:9)
Allocation flag for INDUSTRY Allocation flag for NWLOOK
Values: 0 = No change Values: 0 = No change
1 = Allocated 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) 9 = Full record imputation (FL_665 ≠ 1)
Universe: WKSWORK > 0 Universe: NWLOOK > 0
I_LJCW 1 346 (0:9) I_OCCUP 1 353 (0:9)
Allocation flag for LJCW Allocation flag for OCCUP
Values: 0 = No change Values: 0 = No change
1 = Allocated 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) 9 = Full record imputation (FL_665 ≠ 1)
Universe: LJCW > 0 Universe: WKSWORK > 0
I_LKSTR 1 347 (0:9) I_PHMEMP 1 354 (0:9)
Allocation flag for LKSTRCH Allocation flag for PHMEMPRS
Values: 0 = No change Values: 0 = No change
1 = Allocated 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) 9 = Full record imputation (FL_665 ≠ 1)
Universe: LKSTRCH > 0 Universe: PHMEMPRS > 0
I_LKWEEK 1 348 (0:9) I_PTRSN 1 355 (0:9)
Allocation flag for LKWEEKS Allocation flag for PTRSN
Values: 0 = No change Values: 0 = No change
1 = Allocated 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) 9 = Full record imputation (FL_665 ≠ 1)
Universe: LKWEEKS > 0 Universe: PTRSN
I_LOSEWK 1 349 (0:9) I_PTWKS 1 356 (0:9)
Allocation flag for LOSEWKS Allocation flag for PTWEEKS
Values: 0 = No change Values: 0 = No change
1 = Allocated 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) 9 = Full record imputation (FL_665 ≠ 1)
Universe: LOSEWKS > 0 Universe: PTWEEKS > 0
I_NOEMP 1 350 (0:9) I_PTYN 1 357 (0:9)
Allocation flag for NOEMP Allocation flag for PTYN
Values: 0 = No change Values: 0 = No change
1 = Allocated 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) 9 = Full record imputation (FL_665 ≠ 1)
Universe: NOEMP > 0 Universe: PTYN > 0
I_NWLKWK 1 351 (0:9) I_PYRSN 1 358 (0:9)
Allocation flag for NWLKWK Allocation flag for PYRSN
Values: 0 = No change Values: 0 = No change
1 = Allocated 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) 9 = Full record imputation (FL_665 ≠ 1)
Universe: NWLKWK > 0 Universe: PYRSN > 0
Data Dictionary 6C-20
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_RSNNOT 1 359 (0:9) ERN_SRCE 1 365 (0:4)
Allocation flag for RSNNOTW source of earnings from longest job
Values: 0 = No change Values: 0 = niu
1 = Allocated 1 = wage and salary
9 = Full record imputation (FL_665 ≠ 1) 2 = self employment
Universe: RSNNOTW > 0 3 = farm self employment
4 = without pay
Universe: ERN_YN = 1
I_WKCHK 1 360 (0:9)
Allocation flag for WKCHECK ERN_VAL 7 366 (-999999:9999999)
Values: 0 = No change How much did ... earn from this employer before deductions in
1 = Allocated 20..? what was ... net earnings from this business/ farm after
9 = Full record imputation (FL_665 ≠ 1) expenses during 20..?
Universe: WKCHECK > 0 Values: 0 = none or NIU
-9,999 - 9,999,999 = wages & self-employment
I_WKSWK 1 361 (0:9) Universe: ERN_YN = 1
Allocation flag for WKSWORK
ERN_YN 1 373 (0:2)
Values: 0 = No change
1 = Allocated Earnings from employer or net earnings from business/ farm after
9 = Full record imputation (FL_665 ≠ 1) expenses from longest job during 20.. ?
Universe: WKSWORK > 0 Values: 0 = niu
1 = yes
2 = no
I_WORKYN 1 362 (0:9) Universe: WORKYN=1 OR WTEMP=1
Allocation flag for WORKYN
Values: 0 = No change FRM_VAL 7 374 (-999999:9999999)
1 = Allocated
9 = Full record imputation (FL_665 ≠ 1) amount of farm self-employment earnings from secondary source
Universe: All persons 15+ Values: 0 = none or niu;
-999999-9999999 = farm self employment
Universe: FRMOTR = 1
I_WTEMP 1 363 (0:9)
Allocation flag for WTEMP
FRMOTR 1 381 (0:2)
Values: 0 = No change
1 = Allocated receiving farm self-employment from secondary source
9 = Full record imputation (FL_665 ≠ 1) Values: 0 = niu
Universe: 1 = yes
2 = no
Universe: ERN_OTR = 1
Topic: Income
SubTopic: Earnings FRSE_VAL 7 382 (-9999999:9999999)
ERN_OTR 1 364 (0:2) total amount of farm self-employment earnings (combined
amounts in ern-val, if ern-srce=3, and frse-val)
wage and salary money earned from other work, y/n
Values: 0 = none or niu;
Values: 0 = niu -9999999-9999999 = farm self employment
1 = yes Universe: ERN_YN=1 or FRMOTR=1
2 = no
Universe: All persons aged 15+
FRSE_YN 1 389 (0:2)
receiving any farm self-employment
Values: 0= Niu
1= Yes
2= No
Universe: ERN_YN=1 or FRMOTR=1
Data Dictionary 6C-21
Record Type: Person
Variable Length Position Range Variable Length Position Range
PEARNVAL 8 390 (-99999:99999999) WSAL_VAL 7 422 (0:9999999)
total persons earnings total wage and salary earnings (combined amounts in ern-val, if
ern-srce=1, and ws-val)
Values: 0 = none;
negative amt = income (loss); Values: 0 = none or niu;
positive amt = income 1-9999999 = wage and salary
Universe: All Persons aged 15+ Universe: ERN_YN=1 or WAGEOTR=1
SE_VAL 7 398 (-99999:9999999) WSAL_YN 1 429 (0:2)
amount of own business self-employment earnings from receiving wage and salary earnings
secondary source Values: 0 = niu
Values: 0 = none or niu; 1 = yes
-99999-999999 = own business self employment 2 = no
Universe: SEOTR = 1 Universe: ERN_YN=1 or WAGEOTR=1
SEMP_VAL 7 405 (-999999:9999999) SubTopic: Other Income
total own business self-employment earnings (combined amounts ANN_VAL 6 430 (-1:999999)
in ern-val, if ern-srce=2, and se-val)
Values: 0 = none or niu; Retirement income, annuities amount
-999999-9999999 = own business self employment Values: -1 = niu
Universe: ERN_YN=1 or SEOTR=1 0-999999 = dollar amount
Universe: ANN_YN = 1
SEMP_YN 1 412 (0:2)
receiving own business self-employment, y/n ANN_YN 1 436 (0:2)
Values: 0 = niu Retirement income, annuities, y/n
1 = yes Values: 0 = niu
2 = no 1 = yes
Universe: ERN_YN=1 or SEOTR=1 2 = no
Universe: All Persons aged 15+
SEOTR 1 413 (0:2)
receiving own business self-employment earnings from secondary CAP_VAL 6 437 (0:999999)
source, y/n capital gains value
Values: 0 = niu
1 = yes Values: 0 = none or niu
1-999999 = captial gains amount
2 = no
Universe: ERN_OTR = 1 Universe: CAP_YN = 1
1 414 (0:2) CAP_YN 1 443 (0:2)
WAGEOTR
receiving wage and salary earnings from other employers, y/n Yes/no answer to ‘Did you receive capital gain from your shares of
stock or mutual fund?’. (unedited variable is ucap_yn).
Values: 0 = niu Values: 0 = niu
1 = yes 1 = yes
2 = no 2 = no
Universe: ERN_OTR = 1 Universe: DIV_YN = 1
WS_VAL 7 415 (0:9999999) DBTN_VAL 7 444 (0000000:9999999)
amount of wage and salary earnings from other employers Total amount of retirement distributions received (dst_val1 +
Values: 0 = none or niu; dst_val2)
1-9999999 = wage and salary Values: 0 = none or niu
Universe: ERN_OTR = 1 1-9999999 = dollar amount
Universe: DST_VAL1>0 OR DST_VAL2>0
Data Dictionary 6C-22
Record Type: Person
Variable Length Position Range Variable Length Position Range
DIS_CS 1 451 (0:2) DIS_VAL2 6 463 (00000:999999)
Who in this household retired or left a job for health reasons? How much did ... receive (source type) during 20.. ?
Values: 0 = niu Values: 0 = none or niu
1 = yes 1-999999 = disability income
2 = no Universe: DIS_SC2>0
Universe: All Persons aged 15+
DIS_YN 1 469 (0:2)
DIS_HP 1 452 (0:2)
Other than social security did ... receive any income in 20.. as a
Who has a health problem or a disability which prevents work or result of health problems?
which limits the kind or amount of work? Values: 0 = niu
Values: 0 = niu 1 = yes
1 = yes 2 = no
2 = no Universe: All Persons aged 15+
Universe: All Persons aged 15+
DIV_VAL 6 470 (000000:999999)
DIS_SC1 2 453 (00:10)
How much did ... receive in dividends from stocks or mutual funds
What was the source of disability income? during 20.. ?
Values: 0 = NIU Values: 0 = none or niu
1 = worker's compensation 1-999999 = dividends
2 = company or union disability Universe: DIV_YN = 1
3 = federal government disability
4 = US military retirement disability
5 = state or local gov't employee disability DIV_YN 1 476 (0:2)
6 = US railroad retirement disability
7 = accident or disability insurance Did ... receive dividends?
8 = blacklung miners disability Values: 0 = niu
9 = state temporary sickness 1 = yes
10 = other or don't know 2 = no
Universe: DIS_YN=1 Universe: All Persons aged 15+
DIS_SC2 2 455 (00:10) DSAB_VAL 6 477 (000000:999999)
What was the source of disability income? Total amount of disability income received, combined amounts in
Values: 0 = NIU edited sources one and two
1 = worker's compensation Values: 0 = none or niu
2 = company or union disability 1-999999 = disability income
3 = federal government disability Universe: DIS_VAL1>0 OR DIS_VAL2>0
4 = US military retirement disability
5 = state or local gov't employee disability
6 = US railroad retirement disability DST_SC1 1 483 (0:7)
7 = accident or disability insurance
8 = blacklung miners disability Retirement income distribution source 1
9 = state temporary sickness
10 = other or don't know Values: 0 = NIU
1 = 401k account
Universe: DIS_YN=1 2 = 403b account
3 = Roth IRA
4 = Regular IRA
DIS_VAL1 6 457 (0:999999) 5 = KEOGH plan
How much did ... receive (source type) during 20.. ? 6 = SEP plan (Simplified Employee Pension)
7 = Other type of retirement account
Values: 0 = none or niu Universe: DST_VAL1 > 0 and a_age ≥ 58
1-999999 = disability income
Universe: DIS_SC1>0
Data Dictionary 6C-23
Record Type: Person
Variable Length Position Range Variable Length Position Range
DST_SC1_YNG 1 484 (0:7) DST_VAL2_YNG 6 505 (000000:999999)
Retirement Distribution source 1, person under age 58 Retirement Distribution amount 2, under age 58
Values: 0 = NIU Values: 0 = none or niu
1 = 401k account 1-999,999 = amount withdrawn or distributed
2 = 403b account Universe: DST_SC2_YNG = 1
3 = Roth IRA
4 = Regular IRA
5 = KEOGH plan DST_YN 1 511 (0:2)
6 = SEP plan (Simplified Employee Pension)
7 = Other type of retirement account Retirement income distribution y/n
Universe: DST_YN_YNG = 1 and a_age < 58 Values: 0 = niu
1 = yes
2 = no
DST_SC2 1 485 (0:7)
Universe: Persons aged 58 and over (a_age ≥ 58)
Retirement income, distribution source 2
Values: 0 = NIU DST_YN_YNG 1 512 (0:2)
1 = 401k account
2 = 403b account Retirement Distribution Recipiency, person under age 58
3 = Roth IRA
4 = Regular IRA Values: 0 = niu
5 = KEOGH plan 1 = yes
6 = SEP plan (Simplified Employee Pension) 2 = no
7 = Other type of retirement account Universe: Persons under age 58 (a_age < 58)
Universe: DST_VAL2 > 0 and a_age ≥ 58
ED_VAL 6 513 (0:999999)
DST_SC2_YNG 1 486 (0:7) total amount of educational assistance received (combined
Retirement Distribution source 2, person under age 58 amounts in pell grant and other educational) assistance during
20.. ?
Values: 0 = NIU Values: 0 = none or niu;
1 = 401k account 1- 999,999 = dollar amount
2 = 403b account
3 = Roth IRA Universe: ED_YN = 1
4 = Regular IRA
5 = KEOGH plan
6 = SEP plan (Simplified Employee Pension) ED_YN 1 519 (0:2)
7 = Other type of retirement account Did ... receive educational assistance?
Universe: DST_VAL_YNG > 0 and a_age < 58
Values: 0 = niu
1 = yes
DST_VAL1 6 487 (000000:999999) 2 = no
Universe: All Persons aged 15+
Retirement income amount distribution source 1
Values: 0 = none or niu
1-999,999 = amount withdrawn or distributed FAMREL 2 520 (1:11)
Universe: DST_SC1 = 1 Family relationship
Values: Primary and unrelated subfamily only
DST_VAL1_YNG 6 493 (000000:999999) 1 = Reference person of family
2 = Spouse of reference person
Retirement Distribution amount 1, under age 58 Child of reference person:
3 = Under 18 years, single (never married)
Values: 0 = none or niu 4 = Under 18 years, ever married
1- 999,999 = amount withdrawn or distributed 5 = 18 years and over
Universe: DST_SC1_YNG = 1 Grandchild of reference person:
6 = Grandchild of reference person
Other relative of family of reference person:
DST_VAL2 6 499 (000000:999999) 7 = Under 18 years, single (never married)
8 = Under 18 years, ever married
Retirement income amount, distribution source 2 9 = 18 years and over
Values: 0 = none or niu Not in a family:
1- 999,999 = amount withdrawn or distributed Unrelated individual:
10 = Nonfamily householder
Universe: DST_SC2 = 1 11 = Secondary individual
Universe: All Persons
Data Dictionary 6C-24
Record Type: Person
Variable Length Position Range Variable Length Position Range
FIN_VAL 6 522 (0:999999) OI_OFF 2 539 (0:20)
How much did ... receive in financial assistance income during other income sources
20.. ?
Values: 0=niu
Values: 0 = none or niu 1=social security
1-999999 = financial assistance 2=private pensions
Universe: FIN_YN = 1 3=afdc
4=other public assistance
5=interest
FIN_YN 1 528 (0:2) 6=dividends
7=rents or royalties
Did ... receive financial assistance? 8=estates or trusts
Values: 0 = niu 9=state disability payments (worker's comp)
1 = yes 10=disability payments (own insurance)
2 = no 11=unemployment compensation
12=strike benefits
Universe: All Persons aged 15+ 13=annuities or paid up insurance policies
14=not income
15=longest job
INT_VAL 6 529 (0:999999) 16=wages or salary
Edited total combined interest income 17=nonfarm self-employment
18=farm self-employment
Values: 0 = none or niu; 19=anything else
1- 999,999 = dollar amount 20=alimony
Universe: INT_YN = 1 Universe: OI_YN = 1
INT_YN 1 535 (0:2) OI_VAL 6 541 (0:999999)
Edited total combined interest income, y/n how much did ... receive in other incomes
Values: 0 = niu Values: 0 = none or niu
1 = yes 1-999999 = other income
2 = no Universe: OI_YN = 1
Universe: All Persons aged 15+
OI_YN 1 547 (0:2)
OED_TYP1 1 536 (0:2)
Did ... receive cash income not already covered from any other
source 1 other than gi bill received (OED_TYP1- source of other source?
government assistance) Values: 0 = none or niu
Values: 0 = niu 1 = yes
1 = yes 2 = no
2 = no Universe: All Persons aged 15+
Universe: ED_YN = 1
PEN_SC1 1 548 (0:8)
OED_TYP2 1 537 (0:2)
Retirement income, pension source 1
source 2 other than gi bill received (OED_TYP2- scholarships,
grants etc. from the school) Values: 0 = niu
1 = Company pension
Values: 0 = niu 2 = Union pension
1 = yes 3 = Federal government pension
2 = no 4 = State government pension
Universe: ED_YN = 1 5 = Local government pension
6 = US Military pension
7 = US Railroad Retirement
OED_TYP3 1 538 (0:2) 8 = Other
source other than gi bill received (OED_TYP3- other assistance Universe: PEN_YN = 1
(employers friends, etc.)
Values: 0 = niu
1 = yes
2 = no
Universe: ED_YN = 1
Data Dictionary 6C-25
Record Type: Person
Variable Length Position Range Variable Length Position Range
PEN_SC2 1 549 (0:8) PTOT_R 2 578 (0:41)
Retirement income, pension source 2 TOTAL PERSON INCOME RECODE
Values: 0 = niu Values: 0 = NO INCOME
1 = Company pension 1 = UNDER $2,500 OR LOSS
2 = Union pension 2 = $2,500 TO $4,999
3 = Federal government pension 3 = $5,000 TO $7,499
4 = State government pension 4 = $7,500 TO $9,999
5 = Local government pension 5 = $10,000 TO $12,499
6 = US Military pension 6 = $12,500 TO $14,999
7 = US Railroad Retirement 7 = $15,000 TO $17,499
8 = Other 8 = $17,500 TO $19,999
Universe: PEN_VAL2 > 0 9 = $20,000 TO $22,499
10 = $22,500 to $24,999
11 = $25,000 to $27,499
PEN_VAL1 6 550 (0:999999) 12 = $27,500 to $29,999
13 = $30,000 to $32,499
Retirement income amount, pension source 1 14 = $32,500 to $34,999
15 = $35,000 to $37,499
Values: 0 = none or niu; 16 = $37,500 to $39,999
1- 999,999 = pension income 17 = $40,000 to $42,499
Universe: PEN_SC1 > 0 18 = $42,500 to $44,999
19 = $45,000 to $47,499
20 = $47,500 to $49,999
PEN_VAL2 6 556 (0:999999) 21 = $50,000 to $52,499
22 = $52,500 to $54,999
Retirement income amount, pension source 2 23 = $55,000 to $57,499
Values: 0 = none or niu; 24 = $57,500 to $59,999
1-999,999 = pension income 25 = $60,000 to $62,499
26 = $62,500 to $64,999
Universe: PEN_SC2 > 0 27 = $65,000 to $67,499
28 = $67,500 to $69,999
29 = $70,000 to $72,499
PEN_YN 1 562 (0:2) 30 = $72,500 to $74,999
Retirement income, pension y/n 31 = $75,000 to $77,499
32 = $77,500 to $79,999
Values: 0 = niu 33 = $80,000 to $82,499
1 = yes 34 = $82,500 to $84,999
2 = no 35 = $85,000 to $87,499
Universe: All Persons aged 15+ 36 = $87,500 to $89,999
37 = $90,000 to $92,499
38 = $92,500 to $94,999
PNSN_VAL 7 563 (0:9999999) 39 = $95,000 to $97,499
40 = $97,500 to $99,999
total combined amount of pension income received from all 41 = $100,000 and over
pension sources Universe: All Persons aged 15+
Values: 0 = none or niu
1- 9,999,999 = retirement income
Universe: PEN_YN = 1 PTOTVAL 8 580 (-99999:99999999)
total persons income
POTHVAL 8 570 (-99999:99999999) Values: 0 = none
negative amt = income (loss)
All income not from earnings positive amt = income
Values: 0 = none Universe: All Persons aged 15+
negative amt = income (loss)
positive amt = income
Universe: All Persons aged 15+
Data Dictionary 6C-26
Record Type: Person
Variable Length Position Range Variable Length Position Range
RESNSS1 1 588 (0:8) RETCB_YN 1 597 (0:2)
What were the reasons (you/name) (was/were) getting Social Retirement contribution, y/n
Security Income last year?
Values: 0 = niu
Values: 0 = niu 1 = yes
1 = retired 2 = no
2 = disabled (adult or child)
3 = widowed Universe: All people 15 years and over
4 = spouse
5 = surviving child
6 = dependent child RINT_SC1 1 598 (0:7)
7 = on behalf of surviving, dependent, or disabled Interest income, retirement source 1
child(ren)
8 = other (adult or child) Values: 0 = NIU
Universe: SS_YN = 1 1 = 401k account
2 = 403b account
3 = Roth IRA
RESNSS2 1 589 (0:8) 4 = Regular IRA
5 = KEOGH plan
second reason you are getting Social Security Income last year? 6 = SEP plan (Simplified Employee Pension)
7 = Other type of retirement account
Values: 0 = niu
1 = retired Universe: RINT_YN = 1
2 = disabled (adult or child)
3 = widowed
4 = spouse RINT_SC2 1 599 (0:7)
5 = surviving child Interest income, retirement source 2
6 = dependent child
7 = on behalf of surviving, dependent, or disabled Values: 0 = NIU
child(ren) 1 = 401k account
8 = other (adult or child) 2 = 403b account
Universe: SS_YN = 1 3 = Roth IRA
4 = Regular IRA
5 = KEOGH plan
RESNSSI1 1 590 (0:5) 6 = SEP plan (Simplified Employee Pension)
7 = Other type of retirement account
What were the reasons (you/name) (was/were) getting Universe: RINT_YN = 1
Supplemental Security Income last year?
Values: 0 = niu
1 = disabled (adult or child) RINT_VAL1 6 600 (0:999999)
2 = blind (adult or child)
Interest income amt, retirement source 1
3 = on behalf of a disabled child
4 = on behalf of a blind child Values: 0 = none or niu;
5 = other (adult or child) 1-999999 = ret interest income
Universe: SSI_YN = 1 Universe: RINT_SC1 > 0
RESNSSI2 1 591 (0:5) RINT_VAL2 6 606 (0:999999)
Second reason getting Supplemental Security Income last year? Interest income amt, retirement source 2
Values: 0 = niu Values: 0 = none or niu;
1 = disabled (adult or child) 1-999999 = ret interest income
2 = blind (adult or child)
Universe: RINT_SC2 > 0
3 = on behalf of a disabled child
4 = on behalf of a blind child
5 = other (adult or child)
RINT_YN 1 612 (0:2)
Universe: SSI_YN = 1
Interest income - retirement, y/n
Values: 0 = niu
RETCB_VAL 5 592 (0:99999)
1 = yes
Retirement contributiion, amount 2 = no
Universe: All Persons aged 15+
Values: 0 = none or niu;
1-99999 = amount contributed
Universe: RETCB_YN = 1
Data Dictionary 6C-27
Record Type: Person
Variable Length Position Range Variable Length Position Range
RNT_VAL 6 613 (-9999:999999) STRKUC 1 638 (0:2)
How much did ... receive in income from rent after expenses At any time during 20.. did ... receive any union unemployment or
during 20..? strike benefits?
Values: 0 = none or niu; Values: 0 = niu
-9999-999999 = rental income 1 = yes
Universe: RNT_YN = 1 2 = no
Universe: UC_YN = 1
RNT_YN 1 619 (0:2)
SUBUC 1 639 (0:2)
Did ... own any land, property, rented to others, or receive income
from royalties, roomers or boarders, or from estates or trusts? At any time during 20.. did ... receive any supplemental
Values: 0 = niu unemployment benefits?
1 = yes Values: 0 = niu
2 = no 1 = yes
Universe: All Persons aged 15+ 2 = no
Universe: UC_YN = 1
SRVS_VAL 6 620 (0:999999)
SUR_SC1 2 640 (0:10)
total amount of survivor's income received (combined amounts in
edited sources sur_val1 and sur_val2 plus the unedited sources 3 What was the source of this other widow or survivor income?
& 4 starting in 1995)
Values: 0 = none or niu
Values: 0 = none or niu; 1 = company or union survivor pension
1-999999 = income amount 2 = federal government
Universe: SUR_YN = 1 3 = US military retirement survivor pension
4 = state or local gov't survivor pension
5 = US railroad retirement survivor pension
SS_VAL 5 626 (0:99999) 6 = worker compensation survivor
7 = black lung
How much did ... receive in social security payments during 20.. ? 8 = regular payments from estates or trusts
Values: 0 = none or niu; 9 = regular payments from annuities or
1-99999 = social security paid-up life insurance
10 = other or don't know
Universe: SS_YN = 1
Universe: SUR_YN = 1
SS_YN 1 631 (0:2)
SUR_SC2 2 642 (0:10)
Who received social security payments either for themselves or as
combined payments with other family members? What was the source of this other widow or survivor income?
Values: 0 = niu Values: 0 = none or niu
1 = yes 1 = company or union survivor pension
2 = no 2 = federal government
Universe: All Persons aged 15+ 3 = US military retirement survivor pension
4 = state or local gov't survivor pension
5 = US railroad retirement survivor pension
SSI_VAL 5 632 (0:99999) 6 = worker compensation survivor
7 = black lung
How much did ... receive in supplemental security income during 8 = regular payments from estates or trusts
20..? 9 = regular payments from annuities or
Values: 0 = none or niu paid-up life insurance
1-99999 = supplemental security income 10 = other or don't know
Universe: SSI_YN = 1 Universe: SUR_YN = 1
1 637 (0:2) SUR_VAL1 6 644 (00000:999999)
SSI_YN
Did ... received ssi? How much did ... receive (survivor source type) during 20.. ?
Values: 0 = niu Values: 0 = none or niu;
1 = yes 1-999,999 = survivor's income
2 = no Universe: SUR_YN = 1
Universe: All Persons aged 15+
Data Dictionary 6C-28
Record Type: Person
Variable Length Position Range Variable Length Position Range
SUR_VAL2 6 650 (00000:999999) VET_QVA 1 670 (0:2)
How much did ... receive (source type) during 20.. ? Is ... required to fill out an annual income questionnaire for the
veteran's administration?
Values: 0 = none or niu;
1-999,999 = survivor's income Values: 0 = niu
1 = yes
Universe: SUR_YN = 1 2 = no
Universe: VET_YN = 1
SUR_YN 1 656 (0:2)
During 20.. did ... receive any survivor benefits such as widow's VET_TYP1 1 671 (0:2)
pensions, estates, trusts, insurance annuities, or other survivor's
income? What type of veterans payments did .... receive? (VET_TYP1-
disability compensation?)
Values: 0 = niu
1 = yes Values: 0 = niu
2 = no 1 = yes
2 = no
Universe: All Persons aged 15+
Universe: VET_YN = 1
TRDINT_VAL 5 657 (0:99999)
VET_TYP2 1 672 (0:2)
Interest amount, excluding retirement account interest.
What type of veterans payments did .... receive?
(VET_TYP2- survivor benefits?)
Values: dollar value
Values: 0 = niu
Universe: INT_YN = 1 1 = yes
2 = no
TSURVAL1 1 662 (0:1) Universe: VET_YN = 1
Survivor income source 1, topcoded flag
VET_TYP3 1 673 (0:2)
Values: 0 = not topcoded;
1 = topcoded What type of veterans payments did .... receive?
Universe: SUR_VAL1 > 0 (VET_TYP3- veteran's pension?)
Values: 0 = niu
1 = yes
TSURVAL2 1 663 (0:1) 2 = no
Survivor income source 2, topcoded flag Universe: VET_YN = 1
Values: 0 = not topcoded;
1 = topcoded VET_TYP4 1 674 (0:2)
Universe: SUR_VAL2 > 0 What type of veterans payments did .... receive?
(VET_TYP4- education assistance?)
UC_VAL 5 664 (0:99999) Values: 0 = niu
1 = yes
How much did ... receive in unemployment benefits during 20..? 2 = no
Values: 0 = none or niu Universe: VET_YN = 1
1-99999 = unemployment compensation
Universe: UC_YN = 1
VET_TYP5 1 675 (0:2)
What type of veterans payments did .... receive?
UC_YN 1 669 (0:2) (VET_TYP5- other veteran's payments?)
Any type of unemployment compensation? (Combination of subuc, Values: 0 = niu
strkuc, and uctot_yn) 1 = yes
2 = no
Values: 0 = niu
1 = yes Universe: VET_YN = 1
2 = no
Universe: All Persons aged 15+
VET_VAL 6 676 (0:999999)
How much did ... receive from veterans' administration during 20..?
Values: 0 = none or niu
1-999999 = veterans' payments
Universe: VET_YN = 1
Data Dictionary 6C-29
Record Type: Person
Variable Length Position Range Variable Length Position Range
VET_YN 1 682 (0:2) PAW_YN 1 698 (0:2)
Did ... receive veterans' payments? At any time during 20.., even for one month, did... receive any
CASH assistance from a state or county welfare program such as
Values: 0 = niu (State program name fill)?
1 = yes
2 = no Values: 0= Niu
1= Yes
Universe: All Persons aged 15+ 2= No
Universe: All Persons aged 15+
WC_TYPE 1 683 (0:4)
What was source of these payments? PENINCL 1 699 (0:2)
Values: 0 = not in universe Was ... included in that plan?
1 = state worker's compensation
2 = employer or employers insurance Values: 0 = niu
3 = own insurance 1 = yes
4 = other 2 = no
Universe: WC_YN = 1 Universe: PENPLAN = 1
WC_VAL 5 684 (0:99999) PENPLAN 1 700 (0:2)
How much compensation did ... receive during 20..? Other than social security did the employer or union that ... worked
for in 20.. have a pension or other type of retirement plan?
Values: 0 = none or niu Values: 0 = niu
1-99999 = worker's compensation
1 = yes
Universe: WC_YN = 1 2 = no
Universe: WRK_CK = 1
WC_YN 1 689 (0:2)
During 20.. did ... receive any worker's compensation payments or WICYN 1 701 (0:2)
other payments as a result of a job related injury or illness? Who received WIC?
Values: 0 = niu
1 = yes Values: 0 = niu
2 = no 1 = received WIC
2 = did not receive WIC
Universe: All Persons aged 15+
Universe: Adult female
SubTopic: Non-cash Benefits
SubTopic: Supplemental Poverty Measure
PAW_MON 2 690 (0:12)
CHCARE_YN 1 702 (0:2)
In how many months of 20.. did ... receive public assistance
payments? Paid child care was needed for this child?
Values: 0 = niu Values: 0= Niu
1 = one month ... 12 = twelve months 1= Yes
Universe: PAW_YN = 1 2= No
Universe: Persons age 15+ with chirldren
PAW_TYP 1 692 (0:3)
CHELSEW_YN 1 703 (0:2)
What type of program did... receive CASH assistance?
Does this person have a child living outside the household?
Values: 0 = niu
1 = TANF/AFDC Values: 0= Niu
2 = other 1= Yes
3 = both 2= No
Universe: PAW_YN = 1 Universe: All Persons aged 15+
PAW_VAL 5 693 (00000:99999) CHSP_VAL 5 704 (00000:99999)
How much did ... receive in public assistance or welfare during What is the annual amount of child support paid?
20..?
Values: 0 = NIU
Values: 0 = none or niu; 1:99999 = amount paid in child support
1-99999 = public assistance
Universe: CHSP_YN = 1
Universe: PAW_YN = 1
Data Dictionary 6C-30
Record Type: Person
Variable Length Position Range Variable Length Position Range
CHSP_YN 1 709 (0:2) EIP_CRD 5 735 (0:99999)
Is this person required to pay child support? Sum of Economic Impact Payment 1 (CARES Act) and Economic
Impact Payment 2 (CRRSA Act)
Values: 0= Niu
1= Yes Values: 0-99,999 = dollar amount
2= No Universe: Persons 15+
Universe: CHELSEW_YN
EIT_CRED 4 740 (0:9999)
CSP_VAL 5 710 (0:99999) Earned income tax credit
How much did ... receive in child support payments? Values: 0 = none;
Values: 0 = none or niu 1-9999 = dollar amount
1-99999 = child support Universe: Tax unit head or dependent filer
Universe: CSP_YN = 1
FED_RET 6 744 (0:999999)
CSP_YN 1 715 (0:2) Federal retirement payroll deduction
Did ... receive child support payments? Values: 0 = none; dollar amount
Values: 0= Niu Universe: Tax unit head or dependent filer
1= Yes
2= No
Universe: All Persons aged 15+ FEDTAX_AC 7 750 (-99999:9999999)
Federal income tax liability, after all refundable credits and
Economic Impact Payments 1 and 2. FEDTAX_AC =
SubTopic: Tax Model Items FEDTAX_BC - ACTC_CRD - EIT_CRED - EIP_CRD
ACTC_CRD 5 716 (0:99999) Values: 0 = none; dollar amount
Universe: Tax unit head or dependent filer
Additional child tax credit
Values: 0 = none
1-99999 = dollar amount FEDTAX_BC 7 757 (0:9999999)
Universe: Tax unit head or dependent filer Federal income tax liability, before refundable credits
Values: 0 = none; dollar amount
AGI 7 721 (-999999:9999999) Universe: Tax unit head or dependent filer
Federal adjusted gross income
Values: 0 = none FICA 5 764 (0:99999)
dollar amount
Social security retirement payroll deduction
Universe: Tax unit head or dependent filer
Values: 0 = none
1-99999 = dollar amount
CTC_CRD 5 728 (0:99999) Universe: All persons
Child tax credit and other dependent credit
Values: 0 = none FILESTAT 1 769 (1:6)
1-99999 = dollar amount
Tax filer status
Universe: Tax unit head or dependent filer
Values: 1 = joint, both<65
2 = joint, one ><65 & one 65+
DEP_STAT 2 733 (00:16) 3 = joint, both 65+
4 = head of household
Person index (A_LINENO) of filer who claimed this dependent 5 = single
6 = non-filer
Values: 0 = not a dependent
01-16 = person index of tax filing unit head Universe: All persons
Universe: Dependent in a tax unit
MARG_TAX 2 770 (00:99)
Marginal tax rate
Values: 0 = none; marginal rate
Universe: Tax unit head or dependent filer
Data Dictionary 6C-31
Record Type: Person
Variable Length Position Range Variable Length Position Range
PRSWKXPNS 4 772 (0:1999) SubTopic: Allocation Flags
Work Expenses I_ANNVAL 1 805 (0:9)
Values: 0=none; dollar amount Allocation flag for ANN_VAL
Universe: A_AGE > 17 or HHDFMX = 1,2,46, or 47
Values: Levels 1-3 indicate imputations use of income range responses
and 4-8 indicate imputations without range responses. Within
STATETAX_A 6 776 (-9999:9999999) each group, lower numbers indicate more match variables (and
better matches). Non-respondents to value questions can
State income tax liability, after all credits provide values in one of five range bins. For example, non-
Values: 0 = none; dollar amount respondents can provide earnings from the longest job in these
Universe: Tax unit head or dependent filer categories: 1) < 15,000, 2) 15,000-30,000, 3) 30,001-44,499, 4)
45,000-60,000, and 5) > 60,000. The range bins differ by
income type to better match the range of incomes in that
STATETAX_B 6 782 (0:9999999) income. In levels 1-3, non-respondents are matched to
respondents with values in the range bin they indicated. Full
State income tax liability, before credits record imputation indicates that an individual did not provide
Values: 0 = none; dollar amount sufficient income information and all income recipiency and
Universe: Tax unit head or dependent filer value variables were imputed.
0 = No allocation
TAX_ID 10 788 (000000000:9999999999) 1 = Level 1 statistical match (value with ranges)
2 = Level 2 statistical match (value with ranges)
Tax unit ID number 3 = Level 3 statistical match (value with ranges)
Values: 0000000000-9999999999 = tax unit ID number 4 = Level 101 statistical match (value without ranges, recipiency
‘_yn’)
Universe: All persons
5 = Level 102 statistical match (value without ranges, recipiency
‘_yn’)
TAX_INC 7 798 (0:9999999) 6 = Level 103 statistical match (value without ranges, recipiency
‘_yn’)
Taxable income amount 7 = Level 104 statistical match (age, sex)
Values: 0 = none; dollar amount 8 = Level 105 statistical match (all donors can match to all
recipients)
Universe: Tax unit head or dependent filer
9 = FL_665 ≠ 1 (full record impute)
Universe: ANN_YN =1
I_ANNYN 1 806 (0:9)
Allocation flag for ANN_YN
Values: See I_ANNVAL for allocation flag values.
Universe: ANN_YN > 0
I_CAPVAL 1 807 (0:9)
Allocation flag for CAP_VAL
Values: See I_ANNVAL for allocation flag values.
Universe: CAP_VAL > 1
I_CAPYN 1 808 (0:9)
Allocation flag for CAP_YN
Values: See I_ANNVAL for allocation flag values.
Universe: CAP_YN > 0
I_CHCAREYN 1 809 (0:9)
Allocation flag for CHCARE_YN
Values: 0 = No allocation
1 = Allocated
Universe: CHCARE_YN > 0
Data Dictionary 6C-32
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_CHELSEWYN 1 810 (0:9) I_DISSC2 1 818 (0:9)
Allocation flag for CHELSEW_YN Allocation flag for DIS_SC2
Values: See I_ANNVAL for allocation flag values. Values: 0 = No change
Universe: CHELSEW_YN > 0 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1)
Universe: DIS_SC2 > 0
I_CHSPVAL 1 811 (0:9)
Allocation flag for CHSP_VAL I_DISVL1 1 819 (0:9)
Values: See I_ANNVAL for allocation flag values. Allocation flag for DIS _VAL1
Universe: CHSP_YN = 1
Values: See I_ANNVAL for allocation flag values.
Universe: DIS_VAL1 > 0
I_CHSPYN 1 812 (0:9)
Allocation flag for CHSP_YN I_DISVL2 1 820 (0:9)
Values: See I_ANNVAL for allocation flag values. Allocation flag for DIS _VAL2
Universe: CHELSEW_YN = 1
Values: See I_ANNVAL for allocation flag values.
Universe: DIS_VAL2 > 0
I_CSPVAL 1 813 (0:9)
Allocation flag for CSP_VAL I_DISYN 1 821 (0:9)
Values: See I_ANNVAL for allocation flag values. Allocation flag for DIS_YN
Universe: CSP_YN = 1
Values: See I_ANNVAL for allocation flag values.
Universe: DIS_YN > 0
I_CSPYN 1 814 (0:9)
Allocation flag for CSP_YN I_DIVVAL 1 822 (0:9)
Values: See I_ANNVAL for allocation flag values. Allocation flag for DIV_VAL
Universe: CSP_YN > 0
Values: See I_ANNVAL for allocation flag values.
Universe: DIV_YN = 1
I_DISCS 1 815 (0:9)
Allocation flag for DIS_CS I_DIVYN 1 823 (0:1)
Values: See I_ANNVAL for allocation flag values. Allocation flag for DIV_YN
Universe: DIS_CS > 0
Values: See I_ANNVAL for allocation flag values.
Universe: All Persons 15+
I_DISHP 1 816 (0:9)
Allocation flag for DIS_HP I_DSTSC 1 824 (0:9)
Values: See I_ANNVAL for allocation flag values. Allocation flag for DST_SC(2)
Universe: DIS_HP > 0
Values: 0 = No change
1 = Allocated
1 817 (0:9) 9 = Full record imputation (FL_665 ≠ 1)
I_DISSC1
Universe: DST_YN =1
Allocation flag DIS_SC1
Values: 0 = No change
1 = Allocated I_DSTSCCOMP 1 825 (0:9)
9 = Full record imputation (FL_665 ≠ 1) Allocation flag for all sources of retirement distributions,
Universe: DIS_SC1 > 0 DST_SC(2)
Values: See I_ANNVAL for allocation flag values.
Universe: DST_YN = 1 or DST_YNG_YN = 1
Data Dictionary 6C-33
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_DSTVAL1COMP 2 826 (0:11) I_FINYN 1 838 (0:9)
Composite allocation flag, distribution amount from first retirement, Allocation flag for FIN_YN
DST_VAL1
Values: See I_ANNVAL for allocation flag values.
Values: See I_INTYN for allocation flag values.
Universe: FIN_YN > 0
Universe:
I_FRMVAL 1 839 (0:9)
I_DSTVAL2COMP 2 828 (0:11)
Allocation flag for FRM_VAL
Composite allocation flag, distribution amount from second
retirement account, DST_VAL2 Values: See I_ANNVAL for allocation flag values.
Values: See I_INTYN for allocation flag values. Universe: FRM_VAL > 0
Universe: DST_VAL2> 0
I_FRMYN 1 840 (0:9)
I_DSTYNCOMP 2 830 (0:11) Allocation flag for FRM_YN
Composite allocation flag, distribution from retirement account, Values: See I_ANNVAL for allocation flag values.
DST_YN
Universe: FRM_YN > 0
Values: See I_INTYN for allocation flag values.
Universe: DST_YN > 0
I_INTVAL 2 841 (0:15)
Composite allocation flag incorporating information for all interest
I_EDTYP 1 832 (0:9)
components
Allocation flag for OED_TYP(1-3) Values: Composite Value Variable
Values: See I_ANNVAL for allocation flag values. A composite value variable is created with multiple value
inputs. For example, INT_VAL is the total income value of
Universe: OED_TYP(1-3) > 0
interest earned from bonds, certificates of deposit (CD),
checking accounts, money market accounts, savings accounts,
I_EDYN 1 833 (0:9) and interest earned on retirement accounts. Imputation for
non-response was conducted on the component variables.
Allocation flag for ED_YN
Values: See I_ANNVAL for allocation flag values. Applies to I_INTVAL, I_UCVAL, I_SSVAL, I_SSIVAL, I_VETVAL
Universe: ED_YN > 0 0 = No allocation
11 = Value imputed is less than 25% of total in composite
variable
I_ERNSRC 1 834 (0:9)
12 = Value imputed is between 25-50% of total in composite
Allocation flag for ERN_SRCE variable
13 = Value imputed is between 50-75% of total in composite
Values: See I_ANNVAL for allocation flag values.
variable
Universe: ERN_SRCE > 0 14 = Value imputed is between 75-100% of total in composite
variable
15 = Value is 100% imputed in composite variable
I_ERNVAL 1 835 (0:9)
Universe: INT_VAL> 0
Allocation flag for ERN_VAL
Values: See I_ANNVAL for allocation flag values.
Universe: ERN_VAL > 0
I_ERNYN 1 836 (0:9)
Allocation flag for ERN_YN
Values: See I_ANNVAL for allocation flag values
Universe: ERN_YN > 0
I_FINVAL 1 837 (0:9)
Allocation flag for FIN_VAL
Values: See I_ANNVAL for allocation flag values.
Universe: FIN_VAL > 0
Data Dictionary 6C-34
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_INTYN 2 843 (0:11) I_PENINC 1 851 (0:9)
Composite allocation flag for all interest components Allocation flag for PENINCL
Values: Composite Recipiency Variable Values: See I_ANNVAL for allocation flag values.
A composite recipiency variable is created with multiple Universe: PENINCL > 0
source inputs. For example, INT_YN is determined by
whether an individual has income in any of the following:
interest earned from bonds, certificates of deposit (CD), I_PENPLA 1 852 (0:9)
checking accounts, money market accounts, savings
accounts, and interest earned on retirement accounts. Allocation flag for PENPLAN
Imputation for non-response was conducted on the
component variables. Values: 0 = No change
1 = Allocated
Applies to I_INTYN, I_UCYN, I_SSYN, I_SSIYN, 9 = Full record imputation (FL_665 ≠ 1)
I_DSTYNCOMP, I_DSTVAL1COMP, I_DSTVAL2COMP Universe: PENPLAN > 0
0 = No allocation
10 = Some of the components are imputed I_PENSC1 1 853 (0:9)
11 = All of the components imputed
Allocation flag for PEN_SC1
Universe: INT_YN > 0
Values: 0 = No change
1 = Allocated
I_OEDVAL 1 845 (0:9) 9 = Full record imputation (FL_665 ≠ 1)
Allocation flag for ED_VAL Universe: PEN_SC1 > 0
Values: See I_ANNVAL for allocation flag values.
Universe: ED_YN=1 I_PENSC2 1 854 (0:9)
Allocation flag PEN_SC2
I_OIVAL 1 846 (0:9) Values: 0 = No change
1 = Allocated
Allocation flag for OI_VAL 9 = Full record imputation (FL_665 ≠ 1)
Values: See I_ANNVAL for allocation flag values. Universe: PEN_SC2 > 0
Universe: OI_VAL > 0
I_PENVAL1 1 855 (0:9)
I_PAWMO 1 847 (0:9) Allocation flag, PEN_VAL1
Allocation flag for PAW_MON Values: See I_ANNVAL for allocation flag values.
Values: See I_ANNVAL for allocation flag values. Universe: PEN_VAL1 > 0
Universe: PAW_MON > 0
I_PENVAL2 1 856 (0:9)
I_PAWTYP 1 848 (0:9) Allocation flag PEN_VAL2
Allocation flag for PAW_TYP Values: See I_ANNVAL for allocation flag values.
Values: See I_ANNVAL for allocation flag values. Universe: PEN_VAL2 > 0
Universe: PAW_TYP > 0
I_PENYN 1 857 (0:9)
I_PAWVAL 1 849 (0:9) Allocation flag for PEN_YN
Allocation flag for PAW_VAL Values: See I_ANNVAL for allocation flag values.
Values: See I_ANNVAL for allocation flag values. Universe: PEN_YN > 0
Universe: PAW_VAL > 0
I_RETCBVAL 1 858 (0:9)
I_PAWYN 1 850 (0:9) Imputation flag for RETCB_VAL
Allocation flag for PAW_YN Values: See I_ANNVAL for allocation flag values.
Values: See I_ANNVAL for allocation flag values. Universe: RETCB_VAL > 0
Universe: PAW_YN > 0
Data Dictionary 6C-35
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_RETCBYN 1 859 (0:9) I_SSIVAL 2 868 (0:15)
Imputation flag for RETCB_YN Allocation flag for SSI_VAL
Values: See I_ANNVAL for allocation flag values. Values: See I_INTVAL for allocation flag values.
Universe: RETCB_YN > 0 Universe: SSI_VAL > 0
I_RINTSC 1 860 (0:9) I_SSIYN 2 870 (0:11)
Allocation flag for RINT_SC1 Allocation flag for SSI_YN
Values: See I_ANNVAL for allocation flag values Values: See I_INTYN for allocation flag values.
Universe: RINT_SC1 > 0 Universe: SSI_YN > 0
I_RINTVAL1 1 861 (0:9) I_SSVAL 2 872 (0:15)
Allocation flag for RINT_VAL1 Composite allocation flag for SS_VAL
Values: See I_ANNVAL for allocation flag values
Values: See I_INTVAL for allocation flag values.
Universe: RINT_VAL1 > 0
Universe: SS_VAL > 0
I_RINTVAL2 1 862 (0:9)
I_SSYN 2 874 (0:11)
Allocation flag for RINT_VAL2
Composite allocation flag for SS_YN
Values: See I_ANNVAL for allocation flag values
Universe: RINT_VAL2 > 0 Values: See I_INTYN for allocation flag values.
Universe: SS_YN > 0
I_RINTYN 1 863 (0:9)
Allocation flag for RINT_YN I_SURSC1 1 876 (0:9)
Values: See I_ANNVAL for allocation flag values Allocation flag for SUR_SC1
Universe: RINT_YN > 0 Values: 0 = No change
1 = Allocated
9 = Full record imputation (FL_665 ≠ 1)
I_RNTVAL 1 864 (0:9) Universe: SUR_SC1 > 0
Allocation flag for RNT_VAL
Values: See I_ANNVAL for allocation flag values I_SURSC2 1 877 (0:9)
Universe: RNT_VAL > 0 Allocation flag for SUR_SC2
Values: 0 = No change
I_RNTYN 1 865 (0:9) 1 = Allocated
9 = Full record imputation (FL_665 ≠ 1)
Allocation flag for RNT_YN
Universe: SUR_SC2 > 0
Values: See I_ANNVAL for allocation flag values
Universe: RNT_YN > 0
I_SURVL1 1 878 (0:9)
Allocation flag for SUR_VAL1
I_SEVAL 1 866 (0:9)
Values: See I_ANNVAL for allocation flag values
Allocation flag for SE_VAL
Universe: SUR_VAL1 > 0
Values: See I_ANNVAL for allocation flag values
Universe: SE_VAL > 0
I_SURVL2 1 879 (0:9)
Allocation flag for SUR_VAL2
I_SEYN 1 867 (0:9)
Values: See I_ANNVAL for allocation flag values
Allocation flag for SEOTR
Universe: SURV_VAL2 > 0
Values: See I_ANNVAL for allocation flag values
Universe: SE_YN > 0
Data Dictionary 6C-36
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_SURYN 1 880 (0:9) I_WCVAL 1 891 (0:9)
Allocation flag for SUR_YN Allocation flag for WC_VAL
Values: See I_ANNVAL for allocation flag values Values: See I_ANNVAL for allocation flag values
Universe: SUR_YN > 0 Universe: WC_VAL > 0
I_UCVAL 2 881 (0:15) I_WCYN 1 892 (0:9)
Composite allocation flag for all unemployment compensation Allocation flag for WC_YN
components
Values: See I_ANNVAL for allocation flag values
Values: See I_INTVAL for allocation flag values.
Universe: WC_YN > 0
Universe: UC_VAL > 0
I_WSVAL 1 893 (0:9)
I_UCYN 2 883 (0:11)
Allocation flag for WS_VAL
Composite allocation flag for all unemployment compensation
components Values: See I_ANNVAL for allocation flag values
Values: See I_INTYN for allocation flag values. Universe: WS_VAL > 0
Universe: UC_YN > 0
I_WSYN 1 894 (0:9)
I_VETQVA 1 885 (0:9) Allocation flag for WS_YN
Allocation flag for VET_QVA Values: See I_ANNVAL for allocation flag values
Values: 0 = No change Universe: WS_YN > 0
1 = Allocated
9 = Full record imputation (FL_665 ≠ 1)
Universe: VET_QVA > 0 RESNSSA 1 895 (0:9)
Allocation flag for RESNSS1-2
I_VETTYP 1 886 (0:9) Values: See I_ANNVAL for allocation flag values
Allocation flag for VET_TYP Universe: RESNSS1 or RESNSS2 > 0
Values: 0 = No change
1 = Allocated RESNSSIA 1 896 (0:9)
9 = Full record imputation (FL_665 ≠ 1)
Universe: VET_TYP > 0 Allocation flag for RESNSSI1-2
Values: See I_ANNVAL for allocation flag values
I_VETVAL 2 887 (0:15) Universe: RESNSSI > 0
Composite allocation flag for all components of veterans income
Values: See I_INTVAL for allocation flag values. WICYNA 1 897 (0:1)
Universe: VET_VAL > 0 Allocation flag for WICYN
Values: 0 = Not allocated or NIU
I_VETYN 1 889 (0:9) 1 = Allocated
Allocation flag for VET_YN Universe: WICYN > 0
Values: See I_ANNVAL for allocation flag values
Universe: VET_YN > 0 SubTopic: Topcoding Flags
TANN_VAL 1 898 (0:1)
I_WCTYP 1 890 (0:9)
Topcode flag for ANN_VAL
Allocation flag for WC_TYPE
Values: 0 = not topcoded
Values: 0 = No change 1 = topcoded
1 = Allocated
Universe: ANN_VAL > 0
9 = Full record imputation (FL_665 ≠ 1)
Universe: WC_TYPE > 0
Data Dictionary 6C-37
Record Type: Person
Variable Length Position Range Variable Length Position Range
TCAP_VAL 1 899 (0:1) TDISVAL2 1 907 (0:1)
Topcode flag for CAP_VAL Topcode flag for DIS_VAL2
Values: 0 = not topcoded Values: 0 = not topcoded
1 = topcoded 1 = topcoded
Universe: CAP_VAL > 0 Universe: DIS_VAL2 > 0
TCERNVAL 1 900 (0:1) TDIV_VAL 1 908 (0:1)
Topcode flag for ERN_VAL Topcode flag for DIV_VAL
Values: 0 = not topcoded; Values: 0 = not topcoded
1 = topcoded 1 = topcoded
Universe: ERN_VAL > 0 Universe: DIV_VAL > 0
TCFFMVAL 1 901 (0:1) TDST_VAL1 1 909 (0:1)
Topcode flag for FRM_VAL Topcode flag for DST_VAL1
Values: 0 = not topcoded; Values: 0 = not topcoded
1 = topcoded 1 = topcoded
Universe: FRM_VAL > 0 Universe: DST_VAL1 > 0
TCHSP_VAL 1 902 (0:1) TDST_VAL1_YNG 1 910 (0:1)
Topcode flag for CHSP_VAL topcode flag for DST_VAL1_YNG
Values: 0 = not topcoded; Values: 0 = not topcoded
1 = topcoded 1 = topcoded
Universe: CHSP_VAL > 0 Universe: DST_VAL1_YNG > 0
TCSEVAL 1 903 (0:1) TDST_VAL2 1 911 (0:1)
Topcode flag for SE_VAL Topcode flag for DST_VAL2
Values: 0 = not topcoded; Values: 0 = not topcoded
1 = topcoded 1 = topcoded
Universe: SE_VAL > 0 Universe: DST_VAL2 > 0
TCSP_VAL 1 904 (0:1) TDST_VAL2_YNG 1 912 (0:1)
Topcode flag for CSP_VAL Topcode flag for DST_VAL2_YNG
Values: 0 = not topcoded; Values: 0 = not topcoded
1 = topcoded 1 = topcoded
Universe: CSP_VAL > 0 Universe: DST_VAL2_YNG >0
TCWSVAL 1 905 (0:1) TED_VAL 1 913 (0:1)
Topcode flag for WS_VAL Topcode flag for ED_VAL
Values: 0 = not topcoded; Values: 0 = not topcoded
1 = topcoded 1 = topcoded
Universe: WS_VAL > 0 Universe: ED_VAL > 0
TDISVAL1 1 906 (0:1) TFIN_VAL 1 914 (0:1)
Topcode flag for DIS_VAL1 Topcode flag for FIN_VAL
Values: 0 = not topcoded; Values: 0 = not topcoded;
1 = topcoded 1 = topcoded
Universe: DIS_VAL1 > 0 Universe: FIN_VAL > 0
Data Dictionary 6C-38
Record Type: Person
Variable Length Position Range Variable Length Position Range
TOI_VAL 1 915 (0:1) Topic: Poverty
Topcode flag for OI_VAL SubTopic: Poverty
Values: 0 = not topcoded
1 = topcoded PERLIS 2 922 (-1:4)
Universe: OI_VAL > 0 POVERTY LEVEL OF PERSONS (SUBFAMILY MEMBERS
HAVE PRIMARY FAMILY RECODE)
TPEN_VAL1 1 916 (0:1) Values: -1 = NOT IN POVERTY UNIVERSE
Topcode flag for PEN_VAL1 1 = BELOW POVERTY LEVEL
2 = 100 - 124 PERCENT OF THE POVERTY LEVEL
Values: 0 = not topcoded 3 = 125 - 149 PERCENT OF THE POVERTY LEVEL
1 = topcoded 4 = 150 AND ABOVE THE POVERTY LEVEL
Universe: PEN_VAL1 > 0
Universe: All people in families and unrelated individuals aged 15
and older
TPEN_VAL2 1 917 (0:1)
Topcode flag for PEN_VAL2 POV_UNIV 1 924 (0:1)
Values: 0 = not topcoded POVERTY UNIVERSE FLAG
1 = topcoded
Universe: PEN_VAL2 > 0 Values: 0 = NOT IN POVERTY UNIVERSE
1 = IN POVERTY UNIVERSE
TRINT_VAL1 1 918 (0:1) Universe: All Persons
Topcode flag for RINT_VAL1
Values: 0 = not topcoded
Topic: Health Insurance
1 = topcoded SubTopic: Any health insurance coverage
Universe: RINT_VAL1 > 0
COV 1 925 (0:2)
TRINT_VAL2 1 919 (0:1) Any health insurance coverage last year
Topcode flag for RINT_VAL2 Values: 0= Infant born after calendar year
1= Yes
Values: 0 = not topcoded 2= No
1 = topcoded Universe: All Persons
Universe: RINT_VAL2 > 0
COV_CYR 1 926 (0:3)
TRNT_VAL 1 920 (0:1)
Any coverage last year
Rent income, topcoded flag
Values: 0=Infant born after calendar year
Values: 0 = not topcoded; 1=No Coverage
1 = topcoded 2=Coverage for some of year
Universe: RNT_VAL > 0 3=Coverage for all of year
Universe: All persons
TTRDINT_VAL 1 921 (0:1)
COV_MULT_CYR 1 927 (0:3)
Topcode flag for TRDINT_VAL (interest income excluding
retirement interest) Concurrent coverage last year
Values: 0 = not topcoded; Values: 0=Infant born after calendar year
1 = topcoded 1=No months with concurrent coverage
Universe: TRDINT_VAL > 0 2=Some months with concurrent coverage
3=Concurrent coverage all year
Universe: All persons
Data Dictionary 6C-39
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOCOV_CYR 1 928 (0:3) PUB_CYR 1 935 (0:3)
No health coverage recode Public coverage last year
Values: 0=Infant born after calendar year Values: 0=Infant born after calendar year
1=Coverage for all of year 1=Covered none of last year
2=No coverage for some of year 2=Covered some of last year
3=No coverage for full year 3=Covered all of last year
Universe: All persons Universe: All persons
NOW_COV 1 929 (1:2) SubTopic: Private coverage
Currently covered by health insurance coverage DEPPRIV 1 936 (0:2)
Values: 1= Yes Private coverage through household member last year
2= No
Universe: All Persons Values: 0= Niu
1= Yes
2= No
SubTopic: Public coverage Universe: PRIV = 1
I_NOW_PUB 1 930 (0:3)
I_DEPPRIV 2 937 (-1:3)
Allocation flag for NOW_PUB
Allocation flag for DEPPRIV
Values: 0= Reported
1= Hotdeck imputation Values: -1= Out of universe
2= Logical imputation 0= Reported
3= Whole unit imputation 1= Hotdeck imputation
Universe: All Persons 2= Logical imputation
3= Whole unit imputation
Universe: PRIV = 1
I_PUB 2 931 (-1:3)
Allocation flag for PUB I_NOW_DEPPRIV 2 939 (-1:3)
Values: -1= Infant born after calendar year Allocation flag for NOW_DEPPRIV
0= Reported
1= Hotdeck imputation Values: -1= Out of universe
2= Logical imputation 0= Reported
3= Whole unit imputation 1= Hotdeck imputation
Universe: All Persons 2= Logical imputation
3= Whole unit imputation
Universe: NOW_PRIV = 1
NOW_PUB 1 933 (1:2)
Current public coverage I_NOW_OUTPRIV 2 941 (-1:3)
Values: 1= Yes Allocation flag for NOW_OUTPRIV
2= No
Universe: All Persons Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
PUB 1 934 (0:2) 2= Logical imputation
3= Whole unit imputation
Public coverage last year Universe: NOW_PRIV = 1
Values: 0= Infant born after calendar year
1= Yes
2= No I_NOW_OWNPRIV 2 943 (-1:3)
Universe: All Persons Allocation flag for NOW_OWNPRIV
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: NOW_PRIV = 1
Data Dictionary 6C-40
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_PRIV 1 945 (0:3) NOW_OWNPRIV 1 954 (0:2)
Allocation flag for NOW_PRIV Current private coverage - policyholder
Values: 0= Reported Values: 0= Niu
1= Hotdeck imputation 1= Yes
2= Logical imputation 2= No
3= Whole unit imputation Universe: NOW_PRIV = 1
Universe: All Persons
NOW_PRIV 1 955 (1:2)
I_OUTPRIV 2 946 (-1:3)
Current private coverage
Allocation flag for OUTPRIV
Values: 1= Yes
Values: -1= Out of universe 2= No
0= Reported Universe: All Persons
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation OUTPRIV 1 956 (0:2)
Universe: PRIV = 1
Private coverage through someone outside last year
Values: 0 = Niu
I_OWNPRIV 2 948 (-1:3) 1 = Yes
Allocation flag for OWNPRIV 2 = No
Universe: PRIV = 1
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation OWNPRIV 1 957 (0:2)
2= Logical imputation
3= Whole unit imputation Private coverage last year - policyholder
Universe: PRIV = 1 Values: 0 = Niu
1 = Yes
2 = No
I_PRIV 2 950 (-1:3)
Universe: PRIV = 1
Allocation flag for PRIV
Values: -1= Infant born after calendar year PRIV 1 958 (0:2)
0= Reported
1= Hotdeck imputation Covered by private plan last year
2= Logical imputation
3= Whole unit imputation Values: 0= Infant born after calendar year
1= Yes
Universe: All Persons 2= No
Universe: All Persons
NOW_DEPPRIV 1 952 (0:2)
Current private coverage through household member PRIV_CYR 1 959 (0:3)
Values: 0= Niu Private coverage last year
1= Yes
2= No Values: 0=Infant born after calendar year
1=Covered none of last year
Universe: NOW_PRIV = 1 2=Covered some of last year
3=Covered all of last year
NOW_OUTPRIV 1 953 (0:2) Universe: All persons
Current private coverage through someone outside the household
SubTopic: Employment-based coverage
Values: 0= Niu
1= Yes DEPGRP 1 960 (0:2)
2= No
Universe: NOW_PRIV = 1 Employment-based coverage through household member last year
Values: 0= Niu
1= Yes
2= No
Universe: GRP = 1
Data Dictionary 6C-41
Record Type: Person
Variable Length Position Range Variable Length Position Range
GRP 1 961 (0:2) I_DEPGRP 2 968 (-1:3)
Any employment-based coverage last year Allocation flag for DEPGRP
Values: 0= Infant born after calendar year Values: -1= Out of universe
1= Yes 0= Reported
2= No 1= Hotdeck imputation
Universe: All Persons 2= Logical imputation
3= Whole unit imputation
Universe: GRP = 1
GRPFTYP 1 962 (0:2)
Type of employment-based plan last year 1 I_GRP 2 970 (-1:3)
Values: 0= Out of universe Allocation flag for GRP
1= Family plan
2= Self-only plan Values: -1= Infant born after calendar year
Universe: OWNGRP = 1 0= Reported
1= Hotdeck imputation
2= Logical imputation
GRPFTYP2 1 963 (0:3) 3= Whole unit imputation
Universe: All Persons
Type of employment-based plan last year 2 (See
https://www.census.gov/topics/health/health-
insurance/guidance.html) I_GRPOUT 2 972 (-1:3)
Values: 0= Out of universe
1= Family plan Allocation flag for GRPOUT
2= Self plus one Values: -1= Out of universe
3= Self-only plan 0= Reported
Universe: OWNGRP = 1 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
GRPLIN1 2 964 (0:20) Universe: OWNGRP = 1
Policyholder line number 1 - employment-based coverage last year
Values: 0 = Not in universe I_HIPAID 2 974 (-1:3)
1 - 20 = Line number
Allocation flag for HIPAID
Universe: DEPGRP = 1
Values: -1= Out of universe
0= Reported
GRPOUT 1 966 (0:2) 1= Hotdeck imputation
2= Logical imputation
Provided employment-based coverage to someone outside HH 3= Whole unit imputation
last year
Universe: OWNGRP = 1
Values: 0= Niu
1= Yes
2= No I_NOW_DEPGRP 2 976 (-1:3)
Universe: GRP = 1
Allocation flag for NOW_DEPGRP
Values: -1= Out of universe
HIPAID 1 967 (0:3) 0= Reported
Employer paid all, some or no premiums last year 1= Hotdeck imputation
2= Logical imputation
Values: 0= Niu 3= Whole unit imputation
1= employer paid all of premiums Universe: NOW_GRP = 1
2= employer paid some of premiums
3= employer paid none of premiums
Universe: OWNGRP = 1 I_NOW_GRP 1 978 (0:3)
Allocation flag for NOW_GRP
Values: 0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Persons
Data Dictionary 6C-42
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_GRPOUT 2 979 (-1:3) NOW_DEPGRP 1 991 (0:2)
Allocation flag for NOW_GRPOUT Current employment-based coverage through household member
Values: -1= Out of universe Values: 0= Niu
0= Reported 1= Yes
1= Hotdeck imputation 2= No
2= Logical imputation Universe: NOW_GRP = 1
3= Whole unit imputation
Universe: NOW_OWNGRP = 1
NOW_GRP 1 992 (1:2)
I_NOW_HIPAID 2 981 (-1:3) Any current employment-based coverage
Allocation flag for NOW_HIPAID Values: 1= Yes
2= No
Values: -1= Out of universe Universe: All Persons
0= Reported
1= Hotdeck imputation
2= Logical imputation NOW_GRPFTYP 1 993 (0:2)
3= Whole unit imputation
Universe: NOW_OWNGRP = 1 Type of current employment-based plan 1
Values: 0= Out of universe
1= Family plan
I_NOW_OUTGRP 2 983 (-1:3) 2= Self-only plan
Allocation flag for NOW_OUTGRP Universe: NOW_OWNGRP = 1
Values: -1= Out of universe
0= Reported NOW_GRPFTYP2 1 994 (0:3)
1= Hotdeck imputation
2= Logical imputation Type of current employment-based plan 2
3= Whole unit imputation
Values: 0= Out of universe
Universe: NOW_GRP = 1 1= Family plan
2= Self plus one
3= Self-only plan
I_NOW_OWNGRP 2 985 (-1:3)
Universe: NOW_OWNGRP = 1
Allocation flag for NOW_OWNGRP
Values: -1= Out of universe NOW_GRPLIN 2 995 (0:20)
0= Reported
1= Hotdeck imputation Policyholder line number - current employment-based coverage
2= Logical imputation
3= Whole unit imputation Values: 0 - 20
Universe: NOW_GRP = 1 Universe: NOW_DEPGRP = 1
I_OUTGRP 2 987 (-1:3) NOW_GRPOUT 1 997 (0:2)
Allocation flag for OUTGRP Currently provides employment-based coverage to someone
outside HH last year
Values: -1= Out of universe Values: 0= Niu
0= Reported 1= Yes
1= Hotdeck imputation 2= No
2= Logical imputation
3= Whole unit imputation Universe: NOW_GRP = 1
Universe: GRP = 1
NOW_HIPAID 1 998 (0:3)
I_OWNGRP 2 989 (-1:3) Employer currently pays all, some or no premiums
Allocation flag for OWNGRP Values: 0= Niu
1= employer paid all of premiums
Values: -1= Out of universe 2= employer paid some of premiums
0= Reported 3= employer paid none of premiums
1= Hotdeck imputation
2= Logical imputation Universe: NOW_OWNGRP = 1
3= Whole unit imputation
Universe: GRP = 1
Data Dictionary 6C-43
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_OUTGRP 1 999 (0:2) DIRFTYP2 1 1006 (0:3)
Current employment-based coverage through someone outside Type of direct-purchase plan last year 2
HH
Values: 0= Out of universe
Values: 0= Niu 1= Family plan
1= Yes 2= Self plus one
2= No 3= Self-only plan
Universe: NOW_GRP = 1 Universe: OWNDIR = 1
NOW_OWNGRP 1 1000 (0:2) DIRLIN1 2 1007 (0:20)
Current employment-based coverage - policyholder Policyholder line number 1 - direct-purchase coverage last year
Values: 0= Niu Values: 0 = Not in universe
1= Yes 1 - 20 = Line number
2= No
Universe: DEPDIR = 1
Universe: NOW_GRP = 1
DIROUT 1 1009 (0:2)
OUTGRP 1 1001 (0:2)
Provided direct-purchase coverage to someone outside HH last
Employment-based coverage through someone outside HH last year
year
Values: 0= Niu
Values: 0 = Niu 1= Yes
1 = Yes 2= No
2 = No
Universe: DIR = 1
Universe: GRP = 1
I_DEPDIR 2 1010 (-1:3)
OWNGRP 1 1002 (0:2)
Allocation flag for DEPDIR
Employment-based coverage last year - policyholder
Values: -1= Out of universe
Values: 0 = Niu 0= Reported
1 = Yes 1= Hotdeck imputation
2 = No 2= Logical imputation
Universe: GRP = 1 3= Whole unit imputation
Universe: DIR = 1
SubTopic: Direct-purchase coverage
I_DIR 2 1012 (-1:3)
DEPDIR 1 1003 (0:2)
Allocation flag for DIR
Direct-purchase coverage through household member last year
Values: -1= Out of universe
Values: 0= Niu 0= Reported
1= Yes 1= Hotdeck imputation
2= No 2= Logical imputation
Universe: DIR = 1 3= Whole unit imputation
Universe: All Persons
DIR 1 1004 (0:2)
Any direct-purchase coverage last year I_DIROUT 2 1014 (-1:3)
Values: 0= Infant born after calendar year Allocation flag for DIROUT
1= Yes Values: -1= Out of universe
2= No 0= Reported
1= Hotdeck imputation
Universe: All Persons 2= Logical imputation
3= Whole unit imputation
Universe: OWNDIR = 1
DIRFTYP 1 1005 (0:2)
Type of direct-purchase plan last year 1
Values: 0= Out of universe
1= Family plan
2= Self-only plan
Universe: OWNDIR = 1
Data Dictionary 6C-44
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_DEPDIR 2 1016 (-1:3) I_OWNDIR 2 1027 (-1:3)
Allocation flag for NOW_DEPDIR Allocation flag for OWNDIR
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: NOW_DIR = 1 Universe: DIR = 1
I_NOW_DIR 1 1018 (0:3) NOW_DEPDIR 1 1029 (0:2)
Allocation flag for NOW_DIR Current direct-purchase coverage through household member
Values: 0= Reported Values: 0= Niu
1= Hotdeck imputation 1= Yes
2= Logical imputation 2= No
3= Whole unit imputation Universe: NOW_DIR = 1
Universe: All Persons
NOW_DIR 1 1030 (1:2)
I_NOW_DIROUT 2 1019 (-1:3)
Any current direct-purchase coverage
Allocation flag for NOW_DIROUT
Values: 1= Yes
Values: -1= Out of universe 2= No
0= Reported Universe: All Persons
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation NOW_DIRFTYP 1 1031 (0:2)
Universe: NOW_OWNDIR = 1
Type of current direct-purchase plan 1
Values: 0 = Out of universe
I_NOW_OUTDIR 2 1021 (-1:3) 1= Family plan
Allocation flag for NOW_OUTDIR 2= Self-only plan
Universe: NOW_OWNDIR = 1
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation NOW_DIRFTYP2 1 1032 (0:3)
2= Logical imputation
3= Whole unit imputation Type of current direct-purchase plan 2
Universe: NOW_DIR = 1 Values: 0= Out of universe
1= Family plan
2= Self plus one
I_NOW_OWNDIR 2 1023 (-1:3) 3= Self-only plan
Allocation flag for NOW_OWNDIR Universe: NOW_OWNDIR = 1
Values: -1= Out of universe
0= Reported NOW_DIRLIN 2 1033 (0:20)
1= Hotdeck imputation
2= Logical imputation Policyholder line number - current direct-purchase coverage
3= Whole unit imputation
Values: 0 - 20
Universe: NOW_DIR = 1
Universe: NOW_DEPDIR = 1
I_OUTDIR 2 1025 (-1:3)
NOW_DIROUT 1 1035 (0:2)
Allocation flag for OUTDIR
Currently provides direct-purchase coverage to someone outside
Values: -1= Out of universe HH last year
0= Reported Values: 0= Niu
1= Hotdeck imputation 1= Yes
2= Logical imputation 2= No
3= Whole unit imputation
Universe: NOW_DIR = 1
Universe: DIR = 1
Data Dictionary 6C-45
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_OUTDIR 1 1036 (0:2) I_MRK 2 1043 (-1:3)
Current direct-purchase coverage through someone outside HH Allocation flag for MRK
Values: 0= Niu Values: -1= Out of universe
1= Yes 0= Reported
2= No 1= Hotdeck imputation
Universe: NOW_DIR = 1 2= Logical imputation
3= Whole unit imputation
Universe: All Persons
NOW_OWNDIR 1 1037 (0:2)
Current direct-purchase coverage - policyholder I_MRKOUT 2 1045 (-1:3)
Values: 0= Niu Allocation flag for MRKOUT
1= Yes
2= No Values: -1= Out of universe
Universe: NOW_DIR = 1 0= Reported
1= Hotdeck imputation
2= Logical imputation
OUTDIR 1 1038 (0:2) 3= Whole unit imputation
Universe: OWNMRK = 1
Direct-purchase coverage through someone outside HH last year
Values: 0 = Niu
1 = Yes I_NOW_DEPMRK 2 1047 (-1:3)
2 = No Allocation flag for NOW_DEPMRK
Universe: DIR = 1
Values: -1= Out of universe
0= Reported
OWNDIR 1 1039 (0:2) 1= Hotdeck imputation
2= Logical imputation
Direct-purchase coverage last year - policyholder 3= Whole unit imputation
Values: 0 = Niu Universe: NOW_MRK = 1
1 = Yes
2 = No
I_NOW_MRK 1 1049 (0:3)
Universe: DIR = 1
Allocation flag for MRK
SubTopic: Marketplace coverage Values: 0= Reported
1= Hotdeck imputation
DEPMRK 1 1040 (0:2) 2= Logical imputation
3= Whole unit imputation
Marketplace coverage through household member last year Universe: All Persons
Values: 0= Niu
1= Yes
2= No I_NOW_MRKOUT 2 1050 (-1:3)
Universe: MRK = 1 Allocation flag for NOW_MRKOUT
Values: -1= Out of universe
I_DEPMRK 2 1041 (-1:3) 0= Reported
1= Hotdeck imputation
Allocation flag for DEPMRK 2= Logical imputation
3= Whole unit imputation
Values: -1= Out of universe
0= Reported Universe: NOW_OWNMRK = 1
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation I_NOW_OUTMRK 2 1052 (-1:3)
Universe: MRK = 1 Allocation flag for NOW_OUTMRK
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: NOW_MRK = 1
Data Dictionary 6C-46
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_OWNMRK 2 1054 (-1:3) MRKLIN1 2 1063 (0:20)
Allocation flag for NOW_OWNMRK Policyholder line number 1 - Marketplace coverage last year
Values: -1= Out of universe Values: 0 - 20
0= Reported Universe: DEPMRK = 1
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation MRKOUT 1 1065 (0:2)
Universe: NOW_MRK = 1
Provided Marketplace coverage to someone outside HH last year
Values: 0= Niu
I_OUTMRK 2 1056 (-1:3) 1= Yes
Allocation flag for OUTMRK 2= No
Universe: MRK = 1
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation NOW_DEPMRK 1 1066 (0:2)
2= Logical imputation
3= Whole unit imputation Current Marketplace coverage through household member
Universe: MRK = 1 Values: 0= Niu
1= Yes
2= No
I_OWNMRK 2 1058 (-1:3)
Universe: NOW_MRK = 1
Allocation flag for OWNMRK
Values: -1= Out of universe NOW_MRK 1 1067 (1:2)
0= Reported
1= Hotdeck imputation Any current Marketplace coverage
2= Logical imputation
3= Whole unit imputation Values: 1= Yes
2= No
Universe: MRK = 1
Universe: All Persons
MRK 1 1060 (0:2)
NOW_MRKFTYP 1 1068 (0:2)
Any Marketplace coverage last year
Type of current Marketplace plan 1
Values: 0= Infant born after calendar year
1= Yes Values: 0= Out of universe
2= No 1= Family plan
2= Self-only plan
Universe: All Persons
Universe: NOW_OWNMRK = 1
MRKFTYP 1 1061 (0:2)
NOW_MRKFTYP2 1 1069 (0:3)
Type of Marketplace plan last year 1
Type of current Marketplace plan 2
Values: 0= Out of universe
1= Family plan Values: 0= Out of universe
2= Self-only plan 1= Family plan
2= Self plus one
Universe: OWNMRK = 1 3= Self-only plan
Universe: NOW_OWNMRK = 1
MRKFTYP2 1 1062 (0:3)
Type of Marketplace plan last year 2 NOW_MRKLIN 2 1070 (0:20)
Values: 0= Out of universe Policyholder line number - current Marketplace coverage
1= Family plan
2= Self plus one Values: 0 - 20
3= Self-only plan Universe: NOW_DEPMRK = 1
Universe: OWNMRK = 1
Data Dictionary 6C-47
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_MRKOUT 1 1072 (0:2) I_DEPMRKS 2 1078 (-1:3)
Currently provides Marketplace coverage to someone outside HH Allocation flag for DEPMRKS
last year
Values: -1= Out of universe
Values: 0= Niu 0= Reported
1= Yes 1= Hotdeck imputation
2= No 2= Logical imputation
Universe: NOW_MRK = 1 3= Whole unit imputation
Universe: MRKS = 1
NOW_OUTMRK 1 1073 (0:2)
Current Marketplace coverage through someone outside HH I_MRKS 2 1080 (-1:3)
Values: 0= Niu Allocation flag for MRKS
1= Yes Values: -1= Infant born after calendar year
2= No 0= Reported
Universe: NOW_MRK = 1 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
NOW_OWNMRK 1 1074 (0:2) Universe: All Persons
Current Marketplace coverage - policyholder
Values: 0= Niu I_MRKSOUT 2 1082 (-1:3)
1= Yes
2= No Allocation flag for MRKSOUT
Universe: NOW_MRK = 1 Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
OUTMRK 1 1075 (0:2) 2= Logical imputation
3= Whole unit imputation
Marketplace coverage through someone outside HH last year
Universe: OWNMRKS = 1
Values: 0 = Niu
1 = Yes
2 = No I_NOW_DEPMRKS 2 1084 (-1:3)
Universe: MRK = 1 Allocation flag for NOW_DEPMRKS
Values: -1= Out of universe
OWNMRK 1 1076 (0:2) 0= Reported
1= Hotdeck imputation
Marketplace coverage last year - policyholder 2= Logical imputation
Values: 0 = Niu 3= Whole unit imputation
1 = Yes Universe: NOW_MRKS = 1
2 = No
Universe: MRK = 1
I_NOW_MRKS 1 1086 (0:3)
Allocation flag for MRKS
SubTopic: Subsidized Marketplace coverage
Values: 0= Reported
DEPMRKS 1 1077 (0:2) 1= Hotdeck imputation
2= Logical imputation
Subsidized Marketplace coverage through household member last 3= Whole unit imputation
year
Universe: All Persons
Values: 0= Niu
1= Yes
2= No I_NOW_MRKSOUT 2 1087 (-1:3)
Universe: MRKS = 1
Allocation flag for NOW_MRKSOUT
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: NOW_OWNMRKS = 1
Data Dictionary 6C-48
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_OUTMRKS 2 1089 (-1:3) MRKSFTYP2 1 1099 (0:3)
Allocation flag for NOW_OUTMRKS Type of subsidized Marketplace coverage last year 2
Values: -1= Out of universe Values: 0= Out of universe
0= Reported 1= Family plan
1= Hotdeck imputation 2= Self plus one
2= Logical imputation 3= Self-only plan
3= Whole unit imputation Universe: OWNMRKS = 1
Universe: NOW_MRKS = 1
MRKSLIN1 2 1100 (0:20)
I_NOW_OWNMRKS 2 1091 (-1:3)
Policyholder line number 1 - subsidized Marketplace coverage last
Allocation flag for NOW_OWNMRKS year
Values: -1= Out of universe Values: 0 - 20
0= Reported Universe: DEPMRKS = 1
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation MRKSOUT 1 1102 (0:2)
Universe: NOW_MRKS = 1 Provided subsidized Marketplace coverage to someone outside
HH last year
I_OUTMRKS 2 1093 (-1:3) Values: 0= Niu
1= Yes
Allocation flag for OUTMRKS 2= No
Values: -1= Out of universe Universe: MRKS = 1
0= Reported
1= Hotdeck imputation
2= Logical imputation NOW_DEPMRKS 1 1103 (0:2)
3= Whole unit imputation Current subsidized Marketplace coverage through household
Universe: MRKS = 1 member
Values: 0= Niu
1= Yes
I_OWNMRKS 2 1095 (-1:3)
2= No
Allocation flag for OWNMRKS Universe: NOW_MRKS = 1
Values: -1= Out of universe
0= Reported
NOW_MRKS 1 1104 (1:2)
1= Hotdeck imputation
2= Logical imputation Any current subsidized Marketplace coverage
3= Whole unit imputation
Values: 1= Yes
Universe: MRKS = 1
2= No
Universe: All Persons
MRKS 1 1097 (0:2)
Any subsidized Marketplace coverage last year NOW_MRKSFTYP 1 1105 (0:2)
Values: 0= Infant born after calendar year Type of current subsidized Marketplace plan 1
1= Yes
2= No Values: 0= Out of universe
1= Family plan
Universe: All Persons
2= Self-only plan
Universe: NOW_OWNMRKS = 1
MRKSFTYP 1 1098 (0:2)
Type of subsidized Marketplace coverage last year 1 NOW_MRKSFTYP2 1 1106 (0:3)
Values: 0= Out of universe Type of current subsidized Marketplace plan 2
1= Family plan
2= Self-only plan Values: 0= Out of universe
1= Family plan
Universe: OWNMRKS = 1
2= Self plus one
3= Self-only plan
Universe: NOW_OWNMRKS = 1
Data Dictionary 6C-49
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_MRKSLIN 2 1107 (0:20) I_DEPMRKUN 2 1115 (-1:3)
Policyholder line number - current subsidized Marketplace Allocation flag for DEPMRKUN
coverage
Values: -1= Out of universe
Values: 0 - 20 0= Reported
Universe: NOW_DEPMRKS = 1 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
NOW_MRKSOUT 1 1109 (0:2) Universe: MRKUN = 1
Currently provides subsidized Marketplace coverage to someone
outside HH last year
I_MRKUN 2 1117 (-1:3)
Values: 0= Niu
1= Yes Allocation flag for MRKUN
2= No
Values: -1= Infant born after calendar year
Universe: NOW_OWNMRKS = 1 0= Reported
1= Hotdeck imputation
2= Logical imputation
NOW_OUTMRKS 1 1110 (0:2) 3= Whole unit imputation
Current subsidized Marketplace coverage through someone Universe: All Persons
outside HH
Values: 0= Niu
I_MRKUNOUT 2 1119 (-1:3)
1= Yes
2= No Allocation flag for MRKUNOUT
Universe: NOW_MRKS = 1
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
NOW_OWNMRKS 1 1111 (0:2)
2= Logical imputation
Current subsidized Marketplace coverage - policyholder 3= Whole unit imputation
Universe: OWNMRKUN = 1
Values: 0= Niu
1= Yes
2= No
I_NOW_DEPMRKUN 2 1121 (-1:3)
Universe: NOW_MRKS = 1
Allocation flag for NOW_DEPMRKUN
Values: -1= Out of universe
OUTMRKS 1 1112 (0:2)
0= Reported
Subsidized Marketplace coverage through someone outside HH 1= Hotdeck imputation
last year 2= Logical imputation
3= Whole unit imputation
Values: 0 = Niu
1 = Yes Universe: NOW_MRKUN = 1
2 = No
Universe: MRKS = 1
I_NOW_MRKUN 1 1123 (0:3)
Allocation flag for MRKUN
OWNMRKS 1 1113 (0:2)
Values: 0= Reported
Subsidized Marketplace coverage last year - policyholder 1= Hotdeck imputation
2= Logical imputation
Values: 0 = Niu 3= Whole unit imputation
1 = Yes
2 = No Universe: All Persons
Universe: MRKS = 1
I_NOW_MRKUNOUT 2 1124 (-1:3)
SubTopic: Unsubsidized Marketplace coverage Allocation flag for NOW_MRKUNOUT
DEPMRKUN 1 1114 (0:2) Values: -1= Out of universe
0= Reported
Unsubsidized Marketplace coverage through household member 1= Hotdeck imputation
last year 2= Logical imputation
Values: 0= Niu 3= Whole unit imputation
1= Yes Universe: NOW_OWNMRKUN = 1
2= No
Universe: MRKUN = 1
Data Dictionary 6C-50
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_OUTMRKUN 2 1126 (-1:3) MRKUNFTYP2 1 1136 (0:3)
Allocation flag for NOW_OUTMRKUN Type of unsubsidized Marketplace coverage last year 2
Values: -1= Out of universe Values: 0= Out of universe
0= Reported 1= Family plan
1= Hotdeck imputation 2= Self plus one
2= Logical imputation 3= Self-only plan
3= Whole unit imputation Universe: OWNMRKUN = 1
Universe: NOW_MRKUN = 1
MRKUNLIN1 2 1137 (0:20)
I_NOW_OWNMRKUN 2 1128 (-1:3)
Policyholder line number 1 - unsubsidized Marketplace coverage
Allocation flag for NOW_OWNMRKUN last year
Values: -1= Out of universe Values: 0 - 20
0= Reported Universe: DEPMRKUN = 1
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation MRKUNOUT 1 1139 (0:2)
Universe: NOW_MRKUN = 1 Provided unsubsidized Marketplace coverage to someone outside
HH last year
I_OUTMRKUN 2 1130 (-1:3) Values: 0= Niu
1= Yes
Allocation flag for OUTMRKUN 2= No
Values: -1= Out of universe Universe: MRKUN = 1
0= Reported
1= Hotdeck imputation
2= Logical imputation NOW_DEPMRKUN 1 1140 (0:2)
3= Whole unit imputation Current unsubsidized Marketplace coverage through household
Universe: MRKUN = 1 member
Values: 0= Niu
1= Yes
I_OWNMRKUN 2 1132 (-1:3)
2= No
Allocation flag for OWNMRKUN Universe: NOW_MRKUN = 1
Values: -1= Out of universe
0= Reported
NOW_MRKUN 1 1141 (1:2)
1= Hotdeck imputation
2= Logical imputation Any current unsubsidized Marketplace coverage
3= Whole unit imputation
Values: 1= Yes
Universe: MRKUN = 1
2= No
Universe: All Persons
MRKUN 1 1134 (0:2)
Any unsubsidized Marketplace coverage last year NOW_MRKUNFTYP 1 1142 (0:2)
Values: 0= Infant born after calendar year Type of current unsubsidized Marketplace plan 1
1= Yes
2= No Values: 0= Out of universe
1= Family plan
Universe: All Persons
2= Self-only plan
Universe: NOW_OWNMRKUN = 1
MRKUNFTYP 1 1135 (0:2)
Type of unsubsidized Marketplace coverage last year 1 NOW_MRKUNFTYP2 1 1143 (0:3)
Values: 0= Out of universe Type of current unsubsidized Marketplace plan 2
1= Family plan
2= Self-only plan Values: 0= Out of universe
1= Family plan
Universe: OWNMRKUN = 1
2= Self plus one
3= Self-only plan
Universe: NOW_OWNMRKUN = 1
Data Dictionary 6C-51
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_MRKUNLIN 2 1144 (0:20) I_DEPNONM 2 1152 (-1:3)
Policyholder line number - current unsubsidized Marketplace Allocation flag for DEPNONM
coverage
Values: -1= Out of universe
Values: 0 - 20 0= Reported
Universe: NOW_DEPMRKUN = 1 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
NOW_MRKUNOUT 1 1146 (0:2) Universe: NONM = 1
Currently provides unsubsidized Marketplace coverage to
someone outside HH last year
I_NONM 2 1154 (-1:3)
Values: 0= Niu
1= Yes Allocation flag for NONM
2= No
Values: -1= Out of universe
Universe: NOW_OWNMRKUN = 1 0= Reported
1= Hotdeck imputation
2= Logical imputation
NOW_OUTMRKUN 1 1147 (0:2) 3= Whole unit imputation
Current unsubsidized Marketplace coverage through someone Universe: All Persons
outside HH
Values: 0= Niu
I_NONMOUT 2 1156 (-1:3)
1= Yes
2= No Allocation flag for NONMOUT
Universe: NOW_MRKUN = 1
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
NOW_OWNMRKUN 1 1148 (0:2)
2= Logical imputation
Current unsubsidized Marketplace coverage - policyholder 3= Whole unit imputation
Universe: OWNNONM = 1
Values: 0= Niu
1= Yes
2= No
I_NOW_DEPNONM 2 1158 (-1:3)
Universe: NOW_MRKUN = 1
Allocation flag for NOW_DEPNONM
Values: -1= Out of universe
OUTMRKUN 1 1149 (0:2)
0= Reported
Unsubsidized Marketplace coverage through someone outside HH 1= Hotdeck imputation
last year 2= Logical imputation
3= Whole unit imputation
Values: 0 = Niu
1 = Yes Universe: NOW_NONM = 1
2 = No
Universe: MRKUN = 1
I_NOW_NONM 1 1160 (0:3)
Allocation flag for NOW_NONM
OWNMRKUN 1 1150 (0:2)
Values: 0= Reported
Unsubsidized Marketplace coverage last year - policyholder 1= Hotdeck imputation
2= Logical imputation
Values: 0 = Niu 3= Whole unit imputation
1 = Yes
2 = No Universe: All Persons
Universe: MRKUN = 1
I_NOW_NONMOUT 2 1161 (-1:3)
SubTopic: Non-Marketplace coverage Allocation flag for NOW_NONMOUT
DEPNONM 1 1151 (0:2) Values: -1= Out of universe
0= Reported
Non-Marketplace coverage through household member last year 1= Hotdeck imputation
2= Logical imputation
Values: 0= Niu
3= Whole unit imputation
1= Yes
2= No Universe: NOW_OWNNONM = 1
Universe: NONM = 1
Data Dictionary 6C-52
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_OUTNONM 2 1163 (-1:3) NONMFTYP2 1 1173 (0:3)
Allocation flag for NOW_OUTNONM Type of non-Marketplace plan last year 2
Values: -1= Out of universe Values: 0= Out of universe
0= Reported 1= Family plan
1= Hotdeck imputation 2= Self plus one
2= Logical imputation 3= Self-only plan
3= Whole unit imputation Universe: OWNNONM = 1
Universe: NOW_NONM = 1
NONMLIN1 2 1174 (0:20)
I_NOW_OWNNONM 2 1165 (-1:3)
Policyholder line number 1 - non-Marketplace coverage last year
Allocation flag for NOW_OWNNONM
Values: 0 - 20
Values: -1= Out of universe Universe: DEPNONM = 1
0= Reported
1= Hotdeck imputation
2= Logical imputation NONMOUT 1 1176 (0:2)
3= Whole unit imputation
Universe: NOW_NONM = 1 Provided non-Marketplace coverage to someone outside HH last
year
Values: 0= Niu
I_OUTNONM 2 1167 (-1:3) 1= Yes
2= No
Allocation flag for OUTNONM
Universe: NONM = 1
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation NOW_DEPNONM 1 1177 (0:2)
2= Logical imputation
3= Whole unit imputation Current non-Marketplace coverage through household member
Universe: NONM = 1 Values: 0= Niu
1= Yes
2= No
I_OWNNONM 2 1169 (-1:3) Universe: NOW_NONM = 1
Allocation flag for OWNNONM
Values: -1= Out of universe NOW_NONM 1 1178 (1:2)
0= Reported
1= Hotdeck imputation Any current non-Marketplace coverage
2= Logical imputation Values: 1= Yes
3= Whole unit imputation 2= No
Universe: NONM = 1 Universe: All Persons
NONM 1 1171 (0:2) NOW_NONMFTYP 1 1179 (0:2)
Any non-Marketplace coverage last year Type of current non-Marketplace plan 1
Values: 0= Infant born after calendar year Values: 0= Out of universe
1= Yes 1= Family plan
2= No 2= Self-only plan
Universe: All Persons Universe: NOW_OWNNONM = 1
NONMFTYP 1 1172 (0:2) NOW_NONMFTYP2 1 1180 (0:3)
Type of non-Marketplace plan last year 1 Type of current non-Marketplace plan 2
Values: 0= Out of universe Values: 0= Out of universe
1= Family plan 1= Family plan
2= Self-only plan 2= Self plus one
Universe: OWNNONM = 1 3= Self-only plan
Universe: NOW_OWNNONM = 1
Data Dictionary 6C-53
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_NONMLIN 2 1181 (0:20) I_NOW_MCAID 1 1190 (0:3)
Policyholder line number - current non-Marketplace coverage Allocation flag for NOW_MCAID
Values: 0 - 20 Values: 0= Reported
Universe: NOW_DEPNONM = 1 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
NOW_NONMOUT 1 1183 (0:2) Universe: All Persons
Currently provides non-Marketplace coverage to someone outside
HH last year MCAID 1 1191 (0:2)
Values: 0= Niu
1= Yes Medicaid, PCHIP or other means-tested coverage last year
2= No Values: 0= Infant born after calendar year
Universe: NOW_OWNNONM = 1 1= Yes
2= No
Universe: All Persons
NOW_OUTNONM 1 1184 (0:2)
Current non-Marketplace coverage through someone outside HH
NOW_MCAID 1 1192 (1:2)
Values: 0= Niu
1= Yes Current Medicaid, PCHIP, or other means-tested coverage
2= No Values: 1= Yes
Universe: NOW_NONM = 1 2= No
Universe: All Persons
NOW_OWNNONM 1 1185 (0:2)
Current non-Marketplace coverage - policyholder SubTopic: Medicaid coverage
Values: 0= Niu CAID 1 1193 (0:2)
1= Yes
2= No Medicaid coverage last year
Universe: NOW_NONM = 1 Values: 0= Infant born after calendar year
1= Yes
2= No
OUTNONM 1 1186 (0:2) Universe: All Persons
Non-Marketplace coverage through someone outside HH last year
Values: 0 = Niu I_CAID 2 1194 (-1:3)
1 = Yes
2 = No Allocation flag for CAID
Universe: NONM = 1 Values: -1= Infant born after calendar year
0= Reported
1= Hotdeck imputation
OWNNONM 1 1187 (0:2) 2= Logical imputation
3= Whole unit imputation
Non-Marketplace coverage last year - policyholder
Universe: All Persons
Values: 0 = Niu
1 = Yes
2 = No I_NOW_CAID 1 1196 (0:3)
Universe: NONM = 1 Allocation flag for NOW_CAID
Values: 0= Reported
SubTopic: Medicaid or other means-tested 1= Hotdeck imputation
2= Logical imputation
coverage 3= Whole unit imputation
I_MCAID 2 1188 (-1:3) Universe: All Persons
Allocation flag for MCAID
Values: -1= Infant born after calendar year
0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Persons
Data Dictionary 6C-54
Record Type: Person
Variable Length Position Range Variable Length Position Range
MCAID_CYR 1 1197 (0:3) SubTopic: PCHIP coverage
Medicaid coverage last year I_NOW_PCHIP 1 1204 (0:3)
Values: 0=Infant born after calendar year Allocation flag for NOW_PCHIP
1=Covered none of last year
2=Covered some of last year Values: 0= Reported
3=Covered all of last year 1= Hotdeck imputation
Universe: All persons 2= Logical imputation
3= Whole unit imputation
Universe: All Persons
NOW_CAID 1 1198 (1:2)
Current Medicaid coverage I_PCHIP 2 1205 (-1:3)
Values: 1= Yes Allocation flag for PCHIP
2= No
Universe: All Persons Values: -1= Infant born after calendar year
0= Reported
1= Hotdeck imputation
SubTopic: Other means-tested coverage 2= Logical imputation
3= Whole unit imputation
I_NOW_OTHMT 1 1199 (0:3) Universe: All Persons
Allocation flag for NOW_OTHMT
Values: 0= Reported NOW_PCHIP 1 1207 (1:2)
1= Hotdeck imputation Current PCHIP coverage
2= Logical imputation
3= Whole unit imputation Values: 1= Yes
Universe: All Persons 2= No
Universe: All Persons
I_OTHMT 2 1200 (-1:3)
PCHIP 1 1208 (0:2)
Allocation flag for OTHMT
PCHIP coverage last year
Values: -1= Infant born after calendar year
0= Reported Values: 0= Infant born after calendar year
1= Hotdeck imputation 1= Yes
2= Logical imputation 2= No
3= Whole unit imputation Universe: All Persons
Universe: All Persons
SubTopic: Medicare coverage
NOW_OTHMT 1 1202 (1:2)
I_MCARE 2 1209 (-1:3)
Current other means-tested coverage
Allocation flag for MCARE
Values: 1= Yes
2= No Values: -1= Infant born after calendar year
Universe: All Persons 0= Reported
1= Hotdeck imputation
2= Logical imputation
OTHMT 1 1203 (0:2) 3= Whole unit imputation
Universe: All Persons
Other means-tested coverage last year
Values: 0 = Infant born after calendar year
1 = Yes I_NOW_MCARE 1 1211 (0:3)
2 = No Allocation flag for NOW_MCARE
Universe: All Persons
Values: 0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Persons
Data Dictionary 6C-55
Record Type: Person
Variable Length Position Range Variable Length Position Range
MCARE 1 1212 (0:2) SubTopic: TRICARE coverage
Medicare coverage last year DEPMIL 1 1219 (0:2)
Values: 0= Infant born after calendar year TRICARE coverage through household member last year
1= Yes
2= No Values: 0= Niu
Universe: All Persons 1= Yes
2= No
Universe: MIL = 1
NOW_MCARE 1 1213 (1:2)
Current Medicare coverage I_DEPMIL 2 1220 (-1:3)
Values: 1= Yes Allocation flag for DEPMIL
2= No
Universe: All Persons Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
SubTopic: Indian Health Service coverage 2= Logical imputation
3= Whole unit imputation
I_IHSFLG 2 1214 (-1:3) Universe: MIL = 1
Allocation flag for IHSFLG
Values: -1= Infant born after calendar year I_MIL 2 1222 (-1:3)
0= Reported Allocation flag for MIL
1= Hotdeck imputation
2= Logical imputation Values: -1= Infant born after calendar year
3= Whole unit imputation 0= Reported
Universe: All Persons 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
I_NOW_IHSFLG 1 1216 (0:3) Universe: All Persons
Allocation flag for NOW_IHSFLG
Values: 0= Reported I_MILOUT 2 1224 (-1:3)
1= Hotdeck imputation Allocation flag for MILOUT
2= Logical imputation
3= Whole unit imputation Values: -1= Out of universe
Universe: All Persons 0= Reported
1= Hotdeck imputation
2= Logical imputation
IHSFLG 1 1217 (0:2) 3= Whole unit imputation
Universe: OWNMIL = 1
Coverage through the Indian Health Service last year
Values: 0= Infant born after calendar year
1= Yes I_NOW_DEPMIL 2 1226 (-1:3)
2= No Allocation flag for NOW_DEPMIL
Universe: All Persons
Values: -1= Out of universe
0= Reported
NOW_IHSFLG 1 1218 (1:2) 1= Hotdeck imputation
2= Logical imputation
Current coverage through the Indian Health Service 3= Whole unit imputation
Values: 1= Yes Universe: NOW_MIL = 1
2= No
Universe: All Persons I_NOW_MIL 1 1228 (0:3)
Allocation flag for NOW_MIL
Values: 0= Reported
1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
Universe: All Persons
Data Dictionary 6C-56
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_NOW_MILOUT 2 1229 (-1:3) MILFTYP 1 1240 (0:2)
Allocation flag for NOW_MILOUT Type of TRICARE plan last year 1
Values: -1= Out of universe Values: 0= Out of universe
0= Reported 1= Family plan
1= Hotdeck imputation 2= Self-only plan
2= Logical imputation Universe: OWNMIL = 1
3= Whole unit imputation
Universe: NOW_OWNMIL = 1
MILFTYP2 1 1241 (0:3)
I_NOW_OUTMIL 2 1231 (-1:3) Type of TRICARE plan last year 2
Allocation flag for NOW_OUTMIL Values: 0= Out of universe
1= Family plan
Values: -1= Out of universe 2= Self plus one
0= Reported 3= Self-only plan
1= Hotdeck imputation Universe: OWNMIL = 1
2= Logical imputation
3= Whole unit imputation
Universe: NOW_MIL = 1 MILLIN1 2 1242 (0:20)
Policyholder line number 1 - TRICARE coverage last year
I_NOW_OWNMIL 2 1233 (-1:3) Values: 0 - 20
Allocation flag for NOW_OWNMIL Universe: DEPMIL = 1
Values: -1= Out of universe
0= Reported MILOUT 1 1244 (0:2)
1= Hotdeck imputation
2= Logical imputation Provided TRICARE coverage to someone outside HH last year
3= Whole unit imputation
Values: 0= Niu
Universe: NOW_MIL = 1 1= Yes
2= No
I_OUTMIL 2 1235 (-1:3) Universe: MIL = 1
Allocation flag for OUTMIL
NOW_DEPMIL 1 1245 (0:2)
Values: -1= Out of universe
0= Reported Current TRICARE coverage through household member
1= Hotdeck imputation
2= Logical imputation Values: 0= Niu
3= Whole unit imputation 1= Yes
2= No
Universe: MIL = 1
Universe: NOW_MIL = 1
I_OWNMIL 2 1237 (-1:3)
NOW_MIL 1 1246 (1:2)
Allocation flag for OWNMIL
Any current TRICARE coverage
Values: -1= Out of universe
0= Reported Values: 1= Yes
1= Hotdeck imputation 2= No
2= Logical imputation Universe: All Persons
3= Whole unit imputation
Universe: MIL = 1
NOW_MILFTYP 1 1247 (0:2)
Type of current TRICARE plan 1
MIL 1 1239 (0:2)
Values: 0= Out of universe
Any TRICARE coverage last year 1= Family plan
Values: 0= Infant born after calendar year 2= Self-only plan
1= Yes Universe: NOW_OWNMIL = 1
2= No
Universe: All Persons
Data Dictionary 6C-57
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_MILFTYP2 1 1248 (0:3) SubTopic: CHAMPVA coverage
Type of current TRICARE plan 2 CHAMPVA 1 1256 (0:2)
Values: 0= Out of universe CHAMPVA coverage last year
1= Family plan
2= Self plus one Values: 0= Infant born after calendar year
3= Self-only plan 1= Yes
Universe: NOW_OWNMIL = 1 2= No
Universe: All Persons
NOW_MILLIN 2 1249 (0:20)
I_CHAMPVA 2 1257 (-1:3)
Policyholder line number - current TRICARE coverage
Allocation flag for CHAMPVA
Values: 0 - 20
Universe: NOW_DEPMIL = 1 Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
NOW_MILOUT 1 1251 (0:2) 2= Logical imputation
3= Whole unit imputation
Currently provides TRICARE coverage to someone outside HH Universe: All Persons
last year
Values: 0= Niu
1= Yes I_NOW_CHAMPVA 1 1259 (0:3)
2= No
Allocation flag for NOW_CHAMPVA
Universe: NOW_MIL = 1
Values: 0= Reported
1= Hotdeck imputation
NOW_OUTMIL 1 1252 (0:2) 2= Logical imputation
3= Whole unit imputation
Current TRICARE coverage through someone outside HH
Universe: All Persons
Values: 0= Niu
1= Yes
2= No NOW_CHAMPVA 1 1260 (1:2)
Universe: NOW_MIL = 1 Current CHAMPVA coverage
Values: 1= Yes
NOW_OWNMIL 1 1253 (0:2) 2= No
Current TRICARE coverage - policyholder Universe: All Persons
Values: 0= Niu
1= Yes SubTopic: VACARE coverage
2= No
Universe: NOW_MIL = 1 I_NOW_VACARE 1 1261 (0:3)
Allocation flag for NOW_VACARE
OUTMIL 1 1254 (0:2) Values: 0= Reported
1= Hotdeck imputation
TRICARE coverage through someone outside HH last year 2= Logical imputation
Values: 0 = Niu 3= Whole unit imputation
1 = Yes Universe: All Persons
2 = No
Universe: MIL = 1
I_VACARE 2 1262 (-1:3)
Allocation flag for VACARE
OWNMIL 1 1255 (0:2)
Values: -1= Infant born after calendar year
TRICARE coverage last year - policyholder 0= Reported
Values: 0 = Niu 1= Hotdeck imputation
1 = Yes 2= Logical imputation
2 = No 3= Whole unit imputation
Universe: MIL = 1 Universe: All Persons
Data Dictionary 6C-58
Record Type: Person
Variable Length Position Range Variable Length Position Range
NOW_VACARE 1 1264 (1:2) I_PHIPVAL2 2 1274 (-1:3)
Current VACARE coverage Allocation flag for PHIP_VAL2
Values: 1= Yes Values: -1= Out of universe
2= No 0= Reported
Universe: All Persons 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
VACARE 1 1265 (0:2) Universe: All Persons
VACARE coverage last year
Values: 0= Infant born after calendar year I_PMEDVAL 2 1276 (-1:3)
1= Yes Allocation flag for PMED_VAL
2= No
Universe: All Persons Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
SubTopic: Medical out-of-pocket expenditures 2= Logical imputation
3= Whole unit imputation
I_MCPREM 2 1266 (-1:2) Universe: All Persons
Allocation flag: Medicare premium amount (PEMCPREM)
Values: 0=Reported I_POTCVAL 2 1278 (-1:3)
2=Logical Imputation Allocation flag for POTC_VAL
-1=NIU
Universe: MCARE=1 Values: -1= Out of universe
0= Reported
1= Hotdeck imputation
I_MOOP 2 1268 (-1:3) 2= Logical imputation
3= Whole unit imputation
Allocation flag for MOOP Universe: All Persons
Values: -1= Out of universe
0= Reported
1= Hotdeck imputation MOOP 7 1280 (0:9999999)
2= Logical imputation Total medical out of pocket expenditures. Calculated from
3= Whole unit imputation PHIP_VAL, POTC_VAL, and PMED_VAL.
Universe: All Persons Values: 0 - 9999999
Universe: All Persons
I_MOOP2 2 1270 (-1:3)
Allocation flag for MOOP2 MOOP2 7 1287 (0:9999999)
Values: -1= Out of universe Total medical out of pocket expenditures. Calculated from
0= Reported PHIP_VAL2, POTC_VAL, and PMED_VAL.
1= Hotdeck imputation
Values: 0 - 9999999
2= Logical imputation
3= Whole unit imputation Universe: All Persons
Universe: All Persons
PEMCPREM 5 1294 (0000:99999)
I_PHIPVAL 2 1272 (-1:3) Edited Medicare premium amount
Allocation flag for PHIP_VAL Values: dollar amount
Values: -1= Out of universe Universe: MCARE=1
0= Reported
1= Hotdeck imputation
2= Logical imputation PHIP_VAL 6 1299 (0:999999)
3= Whole unit imputation
Out of pocket expenditures for comprehensive and non-
Universe: All Persons comprehensive health insurance premiums
Values: 0 - 999999
Universe: All Persons
Data Dictionary 6C-59
Record Type: Person
Variable Length Position Range Variable Length Position Range
PHIP_VAL2 6 1305 (0:999999) SubTopic: Offer and take-up of employer-
Out of pocket expenditures for comprehensive and non- sponsored coverage
comprehensive health insurance premiums - alternative (See
https://www.census.gov/topics/health/health- ESICOULD 1 1327 (0:2)
insurance/guidance.html) Eligible to purchase employer's health insurance plan (expanded
Values: 0 - 999999 universe)
Universe: All Persons Values: 0 = NIU
1 = Yes
2 = No
PMED_VAL 6 1311 (0:999999) Universe: ESIOFFER = 1
Out of pocket expenditures for non-premium medical care
Values: 0 - 999999 ESIELIG1 1 1328 (0:2)
Universe: All Persons Reason not eligible - Don't work enough hours per week or weeks
per year (expanded universe)
POTC_VAL 5 1317 (0:99999) Values: 0= Niu
1= Yes
Out of pocket expenditures for over the counter health related 2= No
spending
Universe: ESIOFFER = 1 AND ESICOULD = 2
Values: 0 - 99999
Universe: All Persons
ESIELIG2 1 1329 (0:2)
Reason not eligible - Contract or temporary employees not allowed
TPEMCPREM 1 1322 (0:1) in plan (expanded universe)
Topcde flag for PEMCPREM Values: 0= Niu
1= Yes
Values: 0 = Not topcoded 2= No
1 = Topcded
Universe: ESIOFFER = 1 AND ESICOULD = 2
Universe: PEMCPREM > 0
ESIELIG3 1 1330 (0:2)
TPHIP_VAL 1 1323 (0:1)
Reason not eligible - Have not yet worked for this employer long
Topcode flag for PHIP_VAL enough (expanded universe)
Values: 0 = not topcoded Values: 0= Niu
1 = topcoded 1= Yes
Universe: PHIP_VAL > 0 2= No
Universe: ESIOFFER = 1 AND ESICOULD = 2
TPHIP_VAL2 1 1324 (0:1)
ESIELIG4 1 1331 (0:2)
Topcode flag for PHIP_VAL2
Reason not eligible - Have a pre-existing condition (expanded
Values: 0 = not topcoded
universe)
1 = topcoded
Universe: PHIP_VAL2 > 0 Values: 0= Niu
1= Yes
2= No
TPMED_VAL 1 1325 (0:1) Universe: ESIOFFER = 1 AND ESICOULD = 2
Topcode flag for PMED_VAL
Values: 0 = not topcoded ESIELIG5 1 1332 (0:2)
1 = topcoded Reason not eligible - Too expensive (expanded universe)
Universe: PMED_VAL > 0
Values: 0= Niu
1= Yes
2= No
TPOTC_VAL 1 1326 (0:1)
Universe: ESIOFFER = 1 AND ESICOULD = 2
Topcode flag for POTC_VAL
Values: 0 = not topcoded;
1 = topcoded
Universe: POTC_VAL > 0
Data Dictionary 6C-60
Record Type: Person
Variable Length Position Range Variable Length Position Range
ESIELIG6 1 1333 (0:2) ESITAKE6 1 1340 (0:2)
Reason not eligible - Other (expanded universe) Reason did not take up - Have not yet worked for this employer
long enough (expanded universe)
Values: 0= Niu
1= Yes Values: 0= Niu
2= No 1= Yes
2= No
Universe: ESIOFFER = 1 AND ESICOULD = 2
Universe: ESIOFFER = 1 AND ESICOULD = 1
ESIOFFER 1 1334 (0:2)
ESITAKE7 1 1341 (0:2)
Employer offers health insurance plan (expanded universe)
Reason did not take up - Contract or temporary employees not
Values: 0=NIU allowed in plan (expanded universe)
1=Yes
Values: 0= Niu
2=No
1= Yes
Universe: (NOW_OWNGRP = 0 or 2) and (PEMLR = 1 or 2) and 2= No
(PEIO1COW = 1,2,3,4,5,8,9, or 10) Universe: ESIOFFER = 1 AND ESICOULD = 1
ESITAKE1 1 1335 (0:2)
ESITAKE8 1 1342 (0:2)
Reason did not take up - Covered by another plan (expanded
Reason did not take up - Other (expanded universe)
universe)
Values: 0= Niu Values: 0= Niu
1= Yes 1= Yes
2= No 2= No
Universe: ESIOFFER = 1 AND ESICOULD = 1 Universe: ESIOFFER = 1 AND ESICOULD = 1
ESITAKE2 1 1336 (0:2) I_ESICOULD 2 1343 (-1:3)
Reason did not take up - Traded health insurance for higher pay Allocation flag for ESICOULD
(expanded universe)
Values: -1= Out of universe
Values: 0= Niu 0= Reported
1= Yes 1= Hotdeck imputation
2= No 2= Logical imputation
Universe: ESIOFFER = 1 AND ESICOULD = 1 3= Whole unit imputation
Universe: ESIOFFER=1
ESITAKE3 1 1337 (0:2)
I_ESIELIG1 2 1345 (-1:3)
Reason did not take up - Too expensive (expanded universe)
Allocation flag for ESIELIG1
Values: 0= Niu
1= Yes Values: -1= Out of universe
2= No 0= Reported
Universe: ESIOFFER = 1 AND ESICOULD = 1 1= Hotdeck imputation
2= Logical imputation
3= Whole unit imputation
ESITAKE4 1 1338 (0:2) Universe: ESIOFFER=1 and ESICOULD=2
Reason did not take up - Don't need health insurance (expanded
universe) I_ESIELIG2 2 1347 (-1:3)
Values: 0= Niu
1= Yes Allocation flag for ESIELIG2
2= No Values: -1= Out of universe
Universe: ESIOFFER = 1 AND ESICOULD = 1 0= Reported
1= Hotdeck imputation
2= Logical imputation
ESITAKE5 1 1339 (0:2) 3= Whole unit imputation
Reason did not take up - Have a pre-existing condition (expanded Universe: ESIOFFER=1 and ESICOULD=2
universe)
Values: 0= Niu
1= Yes
2= No
Universe: ESIOFFER = 1 AND ESICOULD = 1
Data Dictionary 6C-61
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_ESIELIG3 2 1349 (-1:3) I_ESITAKE2 2 1361 (-1:3)
Allocation flag for ESIELIG3 Allocation flag for ESITAKE2
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: ESIOFFER=1 and ESICOULD=2 Universe: ESIOFFER=1 and ESICOULD=1
I_ESIELIG4 2 1351 (-1:3) I_ESITAKE3 2 1363 (-1:3)
Allocation flag for ESIELIG4 Allocation flag for ESITAKE3
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: ESIOFFER=1 and ESICOULD=2 Universe: ESIOFFER=1 and ESICOULD=1
I_ESIELIG5 2 1353 (-1:3) I_ESITAKE4 2 1365 (-1:3)
Allocation flag for ESIELIG5 Allocation flag for ESITAKE4
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: ESIOFFER=1 and ESICOULD=2 Universe: ESIOFFER=1 and ESICOULD=1
I_ESIELIG6 2 1355 (-1:3) I_ESITAKE5 2 1367 (-1:3)
Allocation flag for ESIELIG6 Allocation flag for ESITAKE5
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: ESIOFFER=1 and ESICOULD=2 Universe: ESIOFFER=1 and ESICOULD=1
I_ESIOFFER 2 1357 (-1:3) I_ESITAKE6 2 1369 (-1:3)
Allocation flag for ESIOFFER Allocation flag for ESITAKE6
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: (NOW_OWNGRP = 0 or 2) and (PEMLR = 1 or 2) and Universe: ESIOFFER=1 and ESICOULD=1
(PEIO1COW = 1,2,3,4,5,8,9, or 10)
I_ESITAKE7 2 1371 (-1:3)
I_ESITAKE1 2 1359 (-1:3)
Allocation flag for ESITAKE7
Allocation flag for ESITAKE1
Values: -1= Out of universe
Values: -1= Out of universe 0= Reported
0= Reported 1= Hotdeck imputation
1= Hotdeck imputation 2= Logical imputation
2= Logical imputation 3= Whole unit imputation
3= Whole unit imputation Universe: ESIOFFER=1 and ESICOULD=1
Universe: ESIOFFER=1 and ESICOULD=1
Data Dictionary 6C-62
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_ESITAKE8 2 1373 (-1:3) I_PEWNELIG4 2 1385 (-1:3)
Allocation flag for ESITAKE8 Allocation flag for PEWNELIG4
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: ESIOFFER=1 and ESICOULD=1 Universe: PEOFFER = 1 AND PECOULD = 2
I_PECOULD 2 1375 (-1:3) I_PEWNELIG5 2 1387 (-1:3)
Allocation flag for PECOULD Allocation flag for PEWNELIG5
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: PEOFFER = 1 Universe: PEOFFER = 1 AND PECOULD = 2
I_PEOFFER 2 1377 (-1:3) I_PEWNELIG6 2 1389 (-1:3)
Allocation flag for PEOFFER Allocation flag for PEWNELIG6
Values: -1= Out of universe Values: -1= Out of universe
0= Reported 0= Reported
1= Hotdeck imputation 1= Hotdeck imputation
2= Logical imputation 2= Logical imputation
3= Whole unit imputation 3= Whole unit imputation
Universe: (NOW_OWNGRP=2) and (PEMLR = 1 or 2) and Universe: PEOFFER = 1 AND PECOULD = 2
(PEIO1COW = 1,2,3,4,5,8,9, or 10)
I_PEWNTAKE1 2 1391 (-1:3)
I_PEWNELIG1 2 1379 (-1:3)
Allocation flag for PEWNTAKE1
Allocation flag for PEWNELIG1
Values: -1= Out of universe
Values: -1= Out of universe 0= Reported
0= Reported 1= Hotdeck imputation
1= Hotdeck imputation 2= Logical imputation
2= Logical imputation 3= Whole unit imputation
3= Whole unit imputation Universe: PEOFFER = 1 AND PECOULD = 1
Universe: PEOFFER = 1 AND PECOULD = 2
I_PEWNTAKE2 2 1393 (-1:3)
I_PEWNELIG2 2 1381 (-1:3)
Allocation flag for PEWNTAKE2
Allocation flag for PEWNELIG2
Values: -1= Out of universe
Values: -1= Out of universe 0= Reported
0= Reported 1= Hotdeck imputation
1= Hotdeck imputation 2= Logical imputation
2= Logical imputation 3= Whole unit imputation
3= Whole unit imputation Universe: PEOFFER = 1 AND PECOULD = 1
Universe: PEOFFER = 1 AND PECOULD = 2
I_PEWNTAKE3 2 1395 (-1:3)
I_PEWNELIG3 2 1383 (-1:3)
Allocation flag for PEWNTAKE3
Allocation flag for PEWNELIG3
Values: -1= Out of universe
Values: -1= Out of universe 0= Reported
0= Reported 1= Hotdeck imputation
1= Hotdeck imputation 2= Logical imputation
2= Logical imputation 3= Whole unit imputation
3= Whole unit imputation Universe: PEOFFER = 1 AND PECOULD = 1
Universe: PEOFFER = 1 AND PECOULD = 2
Data Dictionary 6C-63
Record Type: Person
Variable Length Position Range Variable Length Position Range
I_PEWNTAKE4 2 1397 (-1:3) PEOFFER 1 1408 (0:2)
Allocation flag for PEWNTAKE4 Employer offers health insurance plan
Values: -1= Out of universe Values: 0= Niu
0= Reported 1= Yes
1= Hotdeck imputation 2= No
2= Logical imputation Universe: (NOW_OWNGRP=2) and (PEMLR = 1 or 2) and
3= Whole unit imputation (PEIO1COW = 1,2,3,4,5,8,9, or 10)
Universe: PEOFFER = 1 AND PECOULD = 1
PEWNELIG1 1 1409 (0:2)
I_PEWNTAKE5 2 1399 (-1:3)
Reason not eligible - Don't work enough hours per week or weeks
Allocation flag for PEWNTAKE5 per year
Values: -1= Out of universe Values: 0= Niu
0= Reported 1= Yes
1= Hotdeck imputation 2= No
2= Logical imputation Universe: PEOFFER = 1 AND PECOULD = 2
3= Whole unit imputation
Universe: PEOFFER = 1 AND PECOULD = 1
PEWNELIG2 1 1410 (0:2)
Reason not eligible - Contract or temporary employees not allowed
I_PEWNTAKE6 2 1401 (-1:3) in plan
Allocation flag for PEWNTAKE6 Values: 0= Niu
1= Yes
Values: -1= Out of universe 2= No
0= Reported
1= Hotdeck imputation Universe: PEOFFER = 1 AND PECOULD = 2
2= Logical imputation
3= Whole unit imputation
PEWNELIG3 1 1411 (0:2)
Universe: PEOFFER = 1 AND PECOULD = 1
Reason not eligible - Have not yet worked for this employer long
enough
I_PEWNTAKE7 2 1403 (-1:3) Values: 0= Niu
Allocation flag for PEWNTAKE7 1= Yes
2= No
Values: -1= Out of universe Universe: PEOFFER = 1 AND PECOULD = 2
0= Reported
1= Hotdeck imputation
2= Logical imputation 1 1412 (0:2)
PEWNELIG4
3= Whole unit imputation
Universe: PEOFFER = 1 AND PECOULD = 1 Reason not eligible - Have a pre-existing condition
Values: 0= Niu
1= Yes
I_PEWNTAKE8 2 1405 (-1:3) 2= No
Allocation flag for PEWNTAKE8 Universe: PEOFFER = 1 AND PECOULD = 2
Values: -1= Out of universe
0= Reported 1 1413 (0:2)
PEWNELIG5
1= Hotdeck imputation
2= Logical imputation Reason not eligible - Too expensive
3= Whole unit imputation
Values: 0= Niu
Universe: PEOFFER = 1 AND PECOULD = 1 1= Yes
2= No
PECOULD 1 1407 (0:2) Universe: PEOFFER = 1 AND PECOULD = 2
Eligible to purchase employer's health insurance plan
PEWNELIG6 1 1414 (0:2)
Values: 0 = NIU
1 = Yes Reason not eligible - Other
2 = No
Values: 0= Niu
Universe: PEOFFER = 1 1= Yes
2= No
Universe: PEOFFER = 1 AND PECOULD = 2
Data Dictionary 6C-64
Record Type: Person
Variable Length Position Range Variable Length Position Range
PEWNTAKE1 1 1415 (0:2) PEWNTAKE8 1 1422 (0:2)
Reason did not take up - Covered by another plan Reason did not take up - Other
Values: 0= Niu Values: 0= Niu
1= Yes 1= Yes
2= No 2= No
Universe: PEOFFER = 1 AND PECOULD = 1 Universe: PEOFFER = 1 AND PECOULD = 1
PEWNTAKE2 1 1416 (0:2) SubTopic: Health status
Reason did not take up - Traded health insurance for higher pay HEA 1 1423 (1:5)
Values: 0= Niu Health status
1= Yes
2= No Values: 1= Excellent
Universe: PEOFFER = 1 AND PECOULD = 1 2= Very good
3= Good
4= Fair
PEWNTAKE3 1 1417 (0:2) 5= Poor
Universe: All persons
Reason did not take up - Too expensive
Values: 0= Niu
1= Yes I_HEA 2 1424 (-1:3)
2= No Allocation flag for HEA
Universe: PEOFFER = 1 AND PECOULD = 1
Values: -1= Out of universe
0= Reported
PEWNTAKE4 1 1418 (0:2) 1= Hotdeck imputation
2= Logical imputation
Reason did not take up - Don't need health insurance 3= Whole unit imputation
Values: 0= Niu Universe: All persons
1= Yes
2= No
Topic: Supplemental Poverty Measure
Universe: PEOFFER = 1 AND PECOULD = 1
SubTopic: Record Identifier
PEWNTAKE5 1 1419 (0:2) SPM_Head 1 1426 (0:1)
Reason did not take up - Have a pre-existing condition Indicator for head of SPM resource unit
Values: 0= Niu Values: 1 = Head of SPM unit
1= Yes 0 = Not head of SPM unit
2= No
Universe: All Persons
Universe: PEOFFER = 1 AND PECOULD = 1
SPM_ID 8 1427 (0000000:99999999)
PEWNTAKE6 1 1420 (0:2)
SPM unit identification number
Reason did not take up - Have not yet worked for this employer
long enough Values: Unique identifier
Values: 0= Niu Universe: All Persons
1= Yes
2= No
Universe: PEOFFER = 1 AND PECOULD = 1 SubTopic: SPM Unit Characteristics
SPM_ACTC 5 1435 (0:99999)
PEWNTAKE7 1 1421 (0:2) SPM units Additional Child Tax Credit
Reason did not take up - Contract or temporary employees not Values: $0 to $99,999
allowed in plan
Universe: All Persons
Values: 0= Niu
1= Yes
2= No
Universe: PEOFFER = 1 AND PECOULD = 1
Data Dictionary 6C-65
Record Type: Person
Variable Length Position Range Variable Length Position Range
SPM_CapHouseSub 5 1440 (00000:99999) SPM_FamType 1 1483 (1:5)
SPM unit's capped housing subsidy SPM unit's family type
Values: $0 to $99,999 Values: 1 = Married couple family
Universe: All Persons 2 = Cohabiting partner
3 = Female reference person
4 = Male reference person
SPM_CapWkCCXpns 6 1445 (0:999999) 5 = Unrelated individuals
Universe: All Persons
SPM unit's capped work and child care expenses
Values: $0 to $999,999
SPM_FedTax 7 1484 (-999999:9999999)
Universe: All Persons
SPM unit's Federal tax
SPM_ChildcareXpns 6 1451 (0:999999) Values: -$999,999 to $9,999,999
Universe: All Persons
SPM unit's child care expenses-not capped
Values: $0 to $999,999
SPM_FedTaxBC 7 1491 (-999999:9999999)
Universe: All Persons
SPM unit's Federal tax before refundable tax credits
SPM_ChildSupPd 5 1457 (0:99999) Values: $-999,999 to $9,999,999
Universe: All Persons
SPM unit's child support paid
Values: $0 to $99,999
SPM_FICA 5 1498 (0:99999)
Universe: All Persons
SPM unit's Federal Insurance Contributions Act and federal
retirement contribution
SPM_EIP 5 1462 (0:99999) Values: $0 to $99,999
SPM Unit's Economic Impact Payments 1 and 2 Universe: All Persons
Values: 0 - 99,999 = dollar amount
Universe: All Persons SPM_GeoAdj 6 1503 (0.0000:2.0000)
SPM unit's geographic food, shelter, clothing and utility (FSCU)
SPM_EITC 5 1467 (0:999999) adjustment
Values: 0 to 2 (with 4 decimals)
SPM unit's Federal Earned Income Tax Credit
Universe: All Persons
Values: $0 to $99,999
Universe: All Persons
SPM_Hage 2 1509 (15:85)
Head of SPM unit's age
SPM_EngVal 5 1472 (0000:10000)
Values: 15...79 = 15 - 79 years of age
SPM unit's energy subsidy 80 = 80 - 84 years of age
Values: $0 to $99,999 85 = 85 years of age and greater
Universe: All Persons Universe: All Persons
SPM_EquivScale 6 1477 (0.0000:3.0000) SPM_HHisp 1 1511 (0:1)
Equivalence scale is used to adjust reference thresholds for Head of SPM unit is Hispanic
the number of adults and children in the SPM unit and is Values: 1 = Hispanic
normalized so that the scale for a 2 adult and 2 child SPM unit=1. 0 = Not Hispanic
Values: 0 to 3 (with 4 decimals) Universe: All Persons
Universe: All Persons
Data Dictionary 6C-66
Record Type: Person
Variable Length Position Range Variable Length Position Range
SPM_HMaritalStatus 1 1512 (1:7) SPM_PovThreshold 5 1528 (00000:99999)
Head of SPM unit's marital status SPM unit's SPM poverty threshold
Values: 1 = Married - civilian spouse present Values: $0 to $99,999
2 = Married - armed forces spouse present Universe: All Persons
3 = Married - spouse absent (excluding separated)
4 = Widowed
5 = Divorced SPM_Resources 7 1533 (-999999:9999999)
6 = Separated
7= Never Married Total SPM resources for SPM unit
Universe: All Persons Values: -$999,999 to $9,999,999
Universe: All Persons
SPM_HRace 1 1513 (1:4)
Head of SPM unit's race, not considering Hispanic SPM_SchLunch 4 1540 (0000:9999)
Values: 1 = White alone SPM units school lunch subsidy
2 = Black alone
3 = Asian alone Values: $0 to $9,999
4 = Other (American Indian, Alaska Native, Pacific Universe: All Persons
Islander, Multiracial)
Universe: All Persons
SPM_SNAPSub 5 1544 (00000:99999)
SPM unit's Supplemental Nutrition Assistance Program (SNAP)
SPM_MedXpns 7 1514 (0:9999999) subsidy
SPM unit's Medical Out-of-Pocket (MOOP) and Medicare Part B Values: $0 to $99,999
subsidy
Universe: All Persons
Values: $0 to $9,999,999
Universe: All Persons
SPM_StTax 6 1549 (-9999:999999)
SPM unit's state tax
SPM_NumAdults 2 1521 (0:20)
Values: -$9,999 to $999,999
SPM unit's number of adults
Universe: All Persons
Values: 0 to 20
Universe: All Persons
SPM_TenMortStatus 1 1555 (1:3)
SPM unit's tenure/mortgage status
SPM_NumKids 2 1523 (0:20)
Values: 1 = Owner with Mortgage
SPM unit's number of children 2 = Owner without Mortgage or rent-free
Values: 0 to 20 3 = Renter
Universe: All Persons Universe: All Persons
SPM_NumPer 2 1525 (0:20) SPM_Totval 7 1556 (-999999:9999999)
SPM unit's number of persons SPM unit's cash income
Values: 0 to 20 Values: -$999,999 to $9,999,999
Universe: All Persons Universe: All Persons
SPM_Poor 1 1527 (0:1) SPM_wCohabit 1 1563 (0:1)
SPM poverty status SPM unit has cohabiting couple
Values: 1 = In poverty Values: 1 = Has cohabiting couple
0 = Not in poverty 0 = No cohabiting couple
Universe: All Persons Universe: All Persons
Data Dictionary 6C-67
Record Type: Person
Variable Length Position Range Variable Length Position Range
SPM_Weight 7 1564 (9999:9999999) Topic: Migration
SPM unit's integer weight SubTopic: 1-Year
Values:
MIG_CBST 1 1584 (0:4)
Universe: All Persons
Metropolitan CBSA status of residence 1 year ago
SPM_wFoster22 1 1571 (0:1) Values: 0 = NIU (under 1 year old, nonmover)
1 = In a metropolitan CBSA
SPM unit has a foster child under 22 years old 2 = Not in a metropolitan CBSA
3 = Abroad
Values: 1 = Has foster child under 22 4 = Not identified
0 = No foster child under 22
Universe: MIGSAME=2,3
Universe: All Persons
MIG_DIV 2 1585 (0:10)
SPM_WICval 4 1572 (0000:9999)
Census division of previous year residence
SPM unit's Women, Infants, and Children (WIC) subsidy
Values: $0 to $9,999 Values: 0 = not in universe (under 1 year old, nonmover)
Universe: All Persons 1 = new england
2 = middle atlantic
3 = east north central
SPM_WkXpns 5 1576 (0:99999) 4 = west north central
5 = south atlantic
SPM unit's work expenses-not capped 6 = east south central
7 = west south central
Values: $0 to $99,999 8 = mountain
Universe: All Persons 9 = pacific
10 = abroad
SPM_wNewHead 1 1581 (0:1) Universe: MIGSAME=2,3
SPM unit has a new head of household
Values: 1 = New head of household MIG_DSCP 1 1587 (0:5)
0 = No new head of household
Principal city/balance status within metropolitan CBSA for
Universe: All Persons residence 1 year ago
Values: 0 = NIU (under 1 year old, nonmover)
SPM_wNewParent 1 1582 (0:1) 1 = Principal city of a metropolitan CBSA
2 = Balance of a metropolitan CBSA
SPM unit has a new parent 3 = Not in a metropolitan CBSA
4 = Abroad
Values: 1 = New parent
5 = Not identified
0 = No new parent
Universe: MIGSAME=2,3
Universe: All Persons
MIG_MTR1 1 1588 (0:9)
SPM_wUI_LT15 1 1583 (0:1)
Mover recode - metropolitan status before and after move
SPM unit has an unrelated individual under 15 years old
Values: 1 = Nonmover
Values: 1 = Has UI under 15 2 = Metro to metro
0 = No UI under 15 3 = Metro to non-metro
Universe: All Persons 4 = Non-metro to metro
5 = Non-metro to non-metro
6 = Abroad to metro
7 = Abroad to non-metro
8 = Not in universe (Children under 1 year old)
9 = Not identified
Universe: A_AGE>0
Data Dictionary 6C-68
Record Type: Person
Variable Length Position Range Variable Length Position Range
MIG_MTR3 1 1589 (0:8) MIG_ST 2 1592 (0:96)
Mover recode - within area moves FIPS State code of previous
residence
Values: 1 = Nonmover
2 = Same county
3 = Different county, same state Values: 00 = niu (under 1 year old, nonmover)
4 = Different state, same division 01 = alabama
5 = Different division, same region 02 = alaska
6 = Different region 04 = arizona
7 = Abroad 05 = arkansas
8 = Not in universe (children under 1 yr old) 06 = california
08 = colorado
Universe: A_AGE>0 09 = connecticut
10 = delaware
11 = district of columbia
MIG_MTR4 1 1590 (0:9) 12 = florida
Mover recode - region of previous residence 13 = georgia
15 = hawaii
Values: 1 = nonmover 16 = idaho
2 = same county 17 = illinois
3 = different county, same state 18 = indiana
4 = different state in northeast 19 = iowa
5 = different state in midwest 20 = kansas
6 = different state in south 21 = kentucky
7 = different state in west 22 = louisiana
8 = abroad, 23 = maine
9 = not in universe (children under 1 yr old) 24 = maryland
25 = massachusetts
Universe: A_AGE>0 26 = michigan
27 = minnesota
28 = mississippi
MIG_REG 1 1591 (0:5) 29 = missouri
30 = montana
Census region 31 = nebraska
32 = nevada
Values: 0 = not in universe (under 1 year old, nonmover) 33 = new hampshire
1 = northeast 34 = new jersey
2 = midwest 35 = new mexico
3 = south 36 = new york
4 = west 37 = north carolina
5 = abroad 38 = north dakota
39 = ohio
40 = oklahoma
Universe: MIGSAME=2,3
41 = oregon
42 = pennsylvania
44 = rhode island
45 = south carolina
46 = south dakota
47 = tennessee
48 = texas
49 = utah
50 = vermont
51 = virginia
53 = washington
54 = west virginia
55 = wisconsin
56 = wyoming
96 = abroad
Universe: MIGSAME=2,3
Data Dictionary 6C-69
Record Type: Person
Variable Length Position Range Variable Length Position Range
MIGSAME 1 1594 (0:3) I_MIG2 2 1598 (0:10)
Was ... living in this house (apt.) 1 year ago; MIG_ST imputation flag
that is, on March 1, 20..?
Values: 0 = niu, or not changed.
Values: 0 = niu 1 = assigned from householder
1 = yes (nonmover) 2 = assigned from spouse
2 = no, different house in u.s. (mover) 3 = assigned from parent 1
3 = no, outside the u.s. (mover) 4 = assigned from parent 2
5 = allocated from matrix mig1
Universe: A_AGE > 0 6 = allocated from matrix mig2
7 = allocated from matrix mig3
8 = allocated from matrix mig4
NXTRES 2 1595 (0:20) 9 = allocated from matrix mig5
10 = allocated from matrix mig6
What was ... main reason for moving? Universe: All persons
Values: 0 = niu
1 = change in marital status I_MIG3 1 1600 (0:5)
2 = to establish own household
3 = other family reason Level of allocation (assignment) for previous residence
4 = relationship with unmarried partner (boy/girlfriend,
fiance, etc.) Values: 0 = niu, or not changed.
5 = new job or job transfer 1 = state and below
6 = to look for work or lost job 2 = county and below
7 = to be closer to work/easier commute 3 = mcd and below (MCD states only)
8 = retired 4 = place only (nonMCD states)
9 = other job-related reason 5 = county in new york city assigned
10 = wanted to own home, not rent
11 = wanted new or better house/apartment Universe: All persons
12 = wanted better neighborhood/less crime
13 = cheaper housing
14 = foreclosure/eviction I_NXTRES 1 1601 (0:5)
15 = other housing reason
16 = to attend or leave college Imputation flag for NXTRES
17 = change of climate
18 = health reasons Values: 0 = niu, or not changed.
19 = natural disaster (hurricane, tornado, etc.) 1 = assigned from householder
20 = other reason 2 = assigned from spouse
Universe: MIGSAME=2,3 3 = assigned from parent 1
4 = assinged from parent 2
5 = allocated from matrix
SubTopic: Allocation Flags
Universe: All persons
I_MIG1 1 1597 (0:5)
MIGSAME imputation flag
Values: 0 = niu, or not changed.
1 = assigned from householder.
2 = assigned from spouse
3 = assigned from parent 1
4 = assigned from parent 2
5 = allocated from matrix mob
Universe: All persons
Data Dictionary 6C-70
Glossary
Subject Concepts
Age classified as unemployed are continuously looking for
Age classification is based on the age of the person at
his/her last birthday. The adult universe (i.e., population work. For persons on layoff, duration of unemployment
of marriageable age) is comprised of persons 15 years represents the number of full weeks since the termination
old and over for the Annual Social and Economic of their most recent employment. A period of two weeks
(ASEC) Supplement data and for CPS labor force data. or more during which a person is employed or ceased
looking for work is considered to break the continuity of
Annuities the present period of seeking work. Average duration is
(See Income.) an arithmetic mean computed from a distribution by
single weeks of unemployment.
Armed Forces
Armed Forces members enumerated in off-base housing Earners, Number of
or on base with their families are included on the CPS The file includes all persons 15 years old and over in the
ASEC file, as long as at least one civilian adult lives in household with $1 or more in wages and salaries, or $1
the same household. In addition to demographic and or more of a loss in net income from farm or nonfarm
family data, supplemental data on income and work self-employment during the preceding year.
experience for Armed Forces members are included.
Earnings Weight
Base Weight Each person record in month-in- sample 4 and 8 contains
The constant weight assigned to the sample (inverse of an earnings weight for current earnings.
the sampling fraction) which is adjusted to produce the
final weight. Education
(See Level of School Completed.)
Civilian Labor Force
(See Labor Force.) Employed
(See Labor Force.)
Class of Worker
This refers to the broad classification of the person's Energy Assistance Program
employer. On the ASEC file, these broad classifications The Low-Income Home Energy Assistance Program
for current jobs are private, government, self-employed, provides financial assistance to qualified households to
without pay, and never worked. Private and government help them pay heating costs. The program is funded by
workers are considered "wage and salary workers;" this the Federal government and administered by the States
classification scheme includes self-employed, under broad guidelines. In some States a household may
incorporated persons in with "private" workers. For the automatically be eligible for this program if the
longest job held last year, this class of worker scheme household receives (1) Aid to Families with Dependent
includes private; government by level/Federal, State, and Children, (2) Food Stamps, (3) Supplemental Security
local; self-employed incorporated, self-employed Income (SSI), and (4) certain Veterans' benefits.
unincorporated or farm; and without pay. The wage and
salary category for longest job held includes private, The energy assistance questions were asked for the first
government (all levels), and self-employed incorporated. time in 1982. In 2011, the question was revised to
include assistance for cooling as well as heating
Dividends expenses, and the reference period was expanded from:
(See Income) (a) receipts since October 1 of the previous year; to (b)
receipts for the entire previous calendar year.
Duration of Unemployment
Duration of unemployment represents the length of time Family
(through the current survey week) during which persons A family is a group of two persons or more (one of
whom is the householder) residing together and related
GLOSSARY 7-1
by birth, marriage, or adoption. All such persons Food Stamps
(including related subfamily members) are considered as The Food Stamp Act of 1977 was enacted for the
members of one family. Beginning with the 1980 CPS, purpose of increasing the food purchasing power of
unrelated subfamilies (referred to in the past as eligible households through the use of coupons to
secondary families) are no longer included in the count purchase food. The Food and Nutrition Service of the
of families, nor are the members of unrelated subfamilies U.S. Department of Agriculture (USDA) administers the
included in the count of family members. Food Stamp Program through State and local welfare
offices. The Food Stamp Program is the major national
Family Household income support program which provides benefits to all
A family household is a household maintained by a low- income and low-resource households regardless of
family (as defined above), and may include among the household characteristics (e.g., sex, age, disability, etc.).
household members any unrelated persons (unrelated The questions on participation in the Food Stamp
subfamily members and/or unrelated individuals) who Program in the ASEC supplement were designed to
may be residing there. The number of family households identify households in which one or more of the current
is equal to the number of families. The count of family members received food stamps during the previous
household members differs from the count of family calendar year. Once a food stamp household was
members, however, in that the family household identified, a question was asked to determine the number
members include all persons living in the household, of current household members covered by food stamps
whereas family members include only the householder during the previous calendar year. Questions were also
and his/her relatives (See definition of Family). asked about the number of months food stamps were
received during the previous calendar year and the total
Family Weight face value of all food stamps received during that period.
The weight on the family record is the March supplement
weight of the householder or reference person. This Full-Time Worker
weight on the primary family record should be used to Persons on full-time schedules include persons working
tabulate the number of families. 35 hours or more, persons who worked 1-34 hours for
noneconomic reasons (e.g., illness) and usually work
Farm Self-Employment Net Income full-time, and persons "with a job but not at work" who
The term is defined as net money income (gross receipts usually work full- time.
minus operating expenses) from the operation of a farm
by a person on his own account, as an owner, as a renter, Group Health Insurance Coverage
or as a sharecropper. Gross receipts include the value of Civilian persons 15 years old and over who worked in
all products sold, government crop loans, money the previous calendar year and who participated in group
received from the rental of farm equipment to others, and health insurance plans provided by the employer or union
incidental receipts from the sale of wood, sand, gravel, were asked whether part or all of the health insurance
etc. premiums were paid for by the union or employer and
the extent of persons covered.
Operation expenses include cost of feed,
fertilizer, seed, and other farming supplies, cash wages Additional questions were asked to determine if sample
paid to farm hands, depreciation charges, cash rent, persons were covered by any other type of health
interest on farm mortgages, farm building repairs, farm insurance plan. These items are intended to measure
taxes (not State and Federal income taxes), etc. The value retirees covered by continuing employer provided
of fuel, food, or other farm products used for household coverage and persons who purchased coverage on their
living is not included as part of net income. Inventory own.
changes are considered in determining net income only
when they are accounted for in replies based on income Group Quarters
tax returns or other official records which reflect Group quarters are noninstitutional living arrangements
inventory changes. for groups not living in conventional housing units or
groups living in housing units containing nine or more
Final Weight persons unrelated to the person in charge.
Used in tabulating monthly labor force items. This
weight should be used when producing estimates from Head versus Householder
the basic CPS data. It should not be used to tabulate Beginning with the March 1980 CPS, the Census Bureau
ASEC supplement data. discontinued the use of the terms "head of household"
and "head of family." Instead, the terms "householder"
7-2 GLOSSARY
and "family householder" are used. employees. If the house is owned or rented jointly by a
married couple, the householder may be either the
Highest Grade of School Attended husband or the wife. The person designated as the
(See Level of School Completed.) householder on the file is the "reference person" on the
CPS-260 control card to whom the relationship of all
Hispanic Origin other household members, if any, is recorded.
Persons of Hispanic origin in this file are determined on
the basis of a question asking if the person is Spanish, Householder with No Other Relatives in Household
Hispanic, or Latino. If the response is “yes,” a follow-up A householder who has no relatives living in the
question determines a specific ethnic origin, asking to household. This is the entry for a person living alone.
select their (the person’s) origin from a “flash card” Another example is the designated householder of an
listing. The flash-card selections are Mexican, Mexican- apartment shared by two or more unrelated individuals.
American, Chicano, Puerto Rican, Cuban, Cuban
American, or some other Spanish, Hispanic, or Latino Householder with Other Relatives (Including Spouse)
group. in Household
The person designated as householder if he/she has one
Hours of Work or more relatives (including spouse) living in the
Hours of work statistics relate to the actual number of household.
hours worked during the survey week. For example, a
person who normally works 40 hours a week but who is Income
off on the Veterans Day holiday is reported as working For each person in the sample who is 15 years old and
32 hours even though he is paid for the holiday. over, questions are asked on the amount of money
income received in the preceding calendar year from
For persons working in more than one job, the figures each of the following sources: (1) money wages or
relate to the number of hours worked in all jobs during salary; (2) net income from nonfarm self-employment;
the week. However, all the hours are credited to the (3) net income from farm self- employment; (4) Social
major job. Security or railroad retirement; (5) Supplemental
Security Income; (6) public assistance or welfare
Household payments; (7) interest (on savings or bonds); (8)
A household consists of all the persons who occupy a dividends, income from estates or trusts, or net rental
house, an apartment, or other group of rooms, or a room, income; (9) veterans' payment or unemployment and
which constitutes a housing unit. A group of rooms or a workmen's compensation; (10) private pensions or
single room is regarded as a housing unit when it is government employee pensions; (11) alimony or child
occupied as separate living quarters; that is, when the support, regular contributions from persons not living in
occupants do not live with any other person in the the household, and other periodic income.
structure, and when there is direct access from the outside
or through a common hall. The count of households Although income statistics refer to receipts during the
excludes persons living in group quarters, such as military preceding year, the characteristics of the person such as
barracks and institutions. Inmates of institutions (mental age, labor force status, etc., and the composition of
hospitals, rest homes, correctional institutions, etc.) are households refer to the time of the survey. The income
not included in the survey. of the household does not include amounts received by
persons who are members of the household during all or
Household Weight part of the income year if these persons no longer reside
Household weight is the March Supplement weight of the with the household at the time of enumeration. On the
householder. This weight should be used to tabulate other hand, household income includes amounts reported
estimates of households. by persons who did not reside with the household during
the income year but who were members of the household
Householder at the time of enumeration.
The householder refers to the person (or one of the
persons) in whose name the housing unit is owned or Data on consumer income collected in the CPS by the
rented (maintained) or, if there is no such person, any Census Bureau cover money income received (exclusive
adult member, excluding roomers, boarders, or paid of certain money receipts such as capital gains) before
payments for personal income taxes, Social Security,
GLOSSARY 7-3
union dues, Medicare deductions, etc. Also, money government crop loans, money received from the rental
income does not reflect the fact that some households of farm equipment to others, and incidental receipts
receive part of their income in the form of non-money from the sale of wood, sand, gravel, etc.
transfers such as food stamps, health benefits, subsidized
housing, and energy assistance; that many farm Operating expenses include cost of feed, fertilizer, seed,
households receive non-money income in the form of and other farming supplies, cash wages paid to farm
rent free housing and goods produced and consumed on hands, depreciation charges, cash rent, interest on farm
the farm; or that non-money income is received by some mortgages, farm building repairs, farm taxes (not State
nonfarm residents that often takes the form of the use of and Federal income taxes), etc. The value of fuel, food,
business transportation and facilities, or full or partial or other farm products used for family living is not
contributions for retirement programs, medical and included as part of net income. In general, inventory
educational expenses, etc. These elements should be changes are considered in determining net income only
considered when com-paring income levels. Moreover, when they are accounted for in replies based on income
readers should be aware that for many different reasons tax returns or other official records which reflect
there is a tendency in household surveys for respondents inventory changes; otherwise, inventory changes are not
to under report their income. From an analysis of taken into account.
independently derived income estimates, it has been
determined that wages and salaries tend to be much Income Sources - Social Security
better reported than such income types as public Social Security includes Social Security pensions and
assistance, Social Security, and net income from interest, survivors' benefits, and permanent disability insurance
dividends, rents, etc. payments made by the Social Security Administration
prior to deductions for medical insurance and railroad
Income Sources - Wages and Salary retirement insurance checks from the U.S.
Money wages or salary is defined as total money Government. "Medicare" reimbursements are not
earnings received for work performed as an employee included.
during the income year. It includes wages, salary, Armed
Forces pay, commissions, tips, piece-rate payments, Income Sources - Supplemental Security Income
and cash bonuses earned, before deductions are made for Supplemental Security Income includes payments made
taxes, bonds, pensions, union dues, etc. Earnings for by Federal, State, and local welfare agencies to low
self-employed incorporated businesses are considered income persons who are (1) aged (65 years old and
wage and salary. over), (2) blind, or (3) disabled.
Income Sources - Nonfarm Self-Employment Income Sources - Public Assistance
Net income from nonfarm self-employment is net money Public assistance or welfare payments include public
income (gross receipts minus expenses) from one's own assistance payments such as Aid to Families with
business, professional enterprise, or partnership. Gross Dependent Children and general assistance.
receipts include the value of all goods sold and services
rendered. Expenses include costs of goods purchased, Income Sources - Interest and Dividends
rent, heat, light, power, depreciation charges, wages and Interest, dividends, income from estates or trusts, net
salaries paid, business taxes (not personal income taxes), rental income or royalties include dividends from stock-
etc. In general, inventory changes are considered in holdings or membership in associations, interest on
determining net income since replies based on income savings or bonds, periodic receipts from estates or trust
tax returns or other official records do reflect inventory funds, net income from rental of a house, store, or other
changes. However, when values of inventory changes are property to others, receipts from boarders or lodgers, and
not reported, net income figures exclusive of inventory net royalties.
changes are accepted. The value of saleable merchandise
consumed by the proprietors of retail stores is not Income Sources - Unemployment Compensation
included as part of net income. Worker's Compensation, and Veterans' Payments.
Unemployment compensation, veterans' payments, or
Income Sources - Farm Self-Employment worker's compensation includes: (1) unemployment
Net income from farm self-employment is net money compensation received from government unemployment
income (gross receipts minus operating expenses) from insurance agencies or private companies during periods
the operation of a farm by a person on his own account, of unemployment and any strike benefits received from
as an owner, as a renter, or as a sharecropper. Gross union funds; (2) money paid periodically by the
receipts include the value of all products sold, Veterans Administration to disabled members of the
7-4 GLOSSARY
Armed Forces or to survivors of deceased veterans, Receipts Not Counted As Income
subsistence allowances paid to veterans for education Receipts from the following sources are not included as
and on-the-job training, as well as so-called "refunds" income: (1) money received from the sale of property,
paid to ex-servicemen as GI insurance premiums; and such as stocks, bonds, a house, or a car (unless the
(3) worker's compensation received periodically from person is engaged in the business of selling such
public or private insurance companies for injuries property, in which case the net proceeds is counted as
incurred at work. The cost of this insurance must income from self-employment); (2) withdrawals of bank
have been paid by the employer and not by the person. deposits; (3) money borrowed; (4) tax refunds; (5) gifts;
and (6) lump-sum inheritances of insurance payments.
Income Sources - Private and Government Pensions
and Annuities Industry, Occupation, and Class of Worker (I&O)
Many employers and unions have established pension - Current Job (Basic CPS data)
program their employees so that upon retirement the For the employed, current job is the job held in the
employee will receive regular income to replace his/her reference week (the week before the survey). Persons
earnings. Many of these programs also provide income with two or more jobs are classified in the job at which
to the employees if he/she becomes severely disabled, or they worked the most hours during the reference week.
to his/her survivors if the employee dies. Other types of The unemployed are classified according to their latest
retirement income include annuities and paid up life full-time job lasting two or more weeks or by the job
insurance policies. Some people purchase annuities (either full-time or part-time) from which they were on
which yield a set amount over a certain number of years. layoff. The I&O questions are also asked of persons not
Other people may convert their paid up life insurance in the labor force who are in the fourth and eighth
policy into an annuity after they retire. months in sample and who have worked in the last five
years. The occupation/industry classification system for
Income Sources - Alimony and Child Support the 2000 Census was used to code CPS data beginning
Alimony is money received periodically from a former with the January 2003 file. See Table 1 below; the
spouse following a divorce or separation. occupation classifications underwent revisions in 2011,
Child support is money received from a parent for the to make them consistent with Census 2010.
support of their children following a divorce or legal
separation. Money received from relatives, other than the I&O - Longest Job (supplement data)
parent, or friends is not considered as child support. Longest job applies to the job held longest during the
preceding year for persons who worked that year,
without regard to their current employment status.
Table 1 – I&O Details for Current Job (Basic CPS) and Longest Job (ASEC Supplement)
Current Job Longest Job Last Year
Subject (Basic CPS data) (ASEC data)
Variable Name
4-digit code PEIOIND INDUSTRY
Industry 2-digit recode (detailed groups) A_DTIND WEIND
2-digit recode (major groups) A_MJIND WEMIND
4-digit code PEIOOCC OCCUP
Occupation 2-digit recode (detailed groups) A_DTOCC POCCU2
2-digit recode (major groups) A_MJOCC WEMOCG
Class of Worker Class of Worker A_CLSWKR LJCW
GLOSSARY 7-5
Job Seekers which they had been laid off; or (3) are waiting to report
All unemployed persons who made specific efforts to to a new wage or salary job within 30 days. These
find a job sometime during the persons would have an LFSR code of 3 or 4 in the
4-week period preceding the survey week. person record. The unemployed includes job leavers, job
losers, new job entrants, and job reentrants.
Keeping House
Persons are classified as keeping house if they engage in 2a. Unemployed - Job Leavers
own housework. This is one of the "not in labor force" Persons who quit or otherwise terminate their
classifications employment status recode (ESR) = 4. employment voluntarily and immediately begin looking
for work.
LFSR (Labor Force Status Recode)
This classification is available for each civilian 15 years 2b. Unemployed - Job Losers
old and over according to his/her responses to the Persons whose employment ends involuntarily, who
monthly (basic) labor force items. immediately begin looking for work, and those persons
Labor Force who are already /on layoff.
Persons are classified as in the labor force if they are
employed, unemployed, or in the Armed Forces during 2c. Unemployed - New Job Entrants
the survey week. The "civilian labor force" includes all Persons who never worked at a full-time job lasting two
civilians classified as employed or unemployed. The file weeks or longer.
includes labor force data for civilians age 15 and over.
However, the official definition of the civilian labor 2d. Unemployed - Job Reentrants
force is age 16 and over. Persons who previously worked at a full-time job lasting
two weeks or longer but are out of the labor force prior
1. Labor Force – Employed to beginning to look for work.
Employed persons comprise (1) all civilians who, during
the survey week did any work at all as paid employees 3. Labor Force - Not in Labor Force
or in their own business or profession, or on their own Included in this group are all persons in the civilian
farm, or who work 15 hours or more as unpaid workers noninstitutional population who are neither employed
on a farm or a business operated by a member of the nor unemployed. Information is collected on their desire
family; and (2) all those who have jobs but who are not for and availability to take a job at the time of the CPS
working because of illness, bad weather, vacation, or interview, job search activity in the prior year, and
labor- management dispute, or because they are taking reason for not looking in the 4-week period prior to the
time off for personal reasons, whether or not they are survey week. This group includes discouraged workers,
seeking other jobs. These persons would have a Labor defined as persons not in the labor force who want and
Force Status Recode (LFSR) of 1 or 2 respectively in are available for a job and who have looked for work
character 145 of the person record which designates "at sometime in the past 12 months (or since the end of their
work" and "with a job, but not at work." Each employed last job if they held one within the past 12 months), but
person is counted only once. Those persons who held who are not currently looking because they believe there
more than one job are counted in the job at which they are no jobs available or there are none for which they
worked the greatest number of hours during the survey would qualify. Such persons have an LFSR code of 7 in
week. If they worked an equal number of hours at more the person record.
than one job, they are counted at the job they held the
longest. Finally, it should be noted that the unemployment rate
represents the number of persons unemployed as a
2. Labor Force – Unemployed percent of the civilian labor force 16 years old and over.
Unemployed persons are those civilians who, during the This measure can also be computed for groups within
survey week, have no employment but are available for the labor force classified by sex, age, marital status, race,
work, and (1) have engaged in any specific job seeking etc. The job loser, job leaver, reentrant, and new entrant
activity within the past 4 weeks such as registering at a rates are each calculated as a percent of the civilian labor
public or private employment office, meeting with force 16 years old and over; the sum of the rates for the
prospective employers, checking with friends or four groups thus equals the total unemployment rate.
relatives, placing or answering advertisements, writing
letters of application, or being on a union or professional
register; (2) are waiting to be called back to a job from
7-6 GLOSSARY
Layoff permanently or temporarily estranged from their spouses
A person who is unemployed but expects to be called because of marital discord.
back to a specific job. If he/she expects to be called back
within 30 days, it is considered a temporary layoff; For the purpose of this file, the group "other marital
otherwise, it is an indefinite layoff. status" includes "widowed and divorced," "separated,"
and "other married, spouse absent."
Level of School Completed/Degree Received
These data changed on the March 1992 file. A new Medicare
question, "What is the highest level of school ... has The Medicare Program is designed to provide medical
completed or the highest degree ... has received? Replace care for the aged and disabled. The Basic Hospital
the old "highest grade attended" and "year completed" Insurance Plan (Part A) is designed to provide basic
questions. The new question provides more accurate data protection against hospital costs and related post-hospital
on the degree status of college students. Educational services. This plan also covers many persons under 65
attainment applies only to progress in "regular" school. years old who receive Social Security or railroad
Such schools include graded public, private, and retirement benefits based on long-term disability. Part A
parochial elementary and high schools (both junior and is financed jointly by employers and employees through
senior high), colleges, universities, and professional Social Security payroll deductions. Qualified persons 65
schools, whether day schools or night schools. Thus, years old and over who are not otherwise eligible for
regular schooling is that which may advance a person Part A benefits may pay premiums directly to obtain this
toward an elementary school certificate or high school coverage. The Medical Insurance Plan (Part B) is a
diploma, or a college, university, or professional school voluntary plan which builds upon the hospital insurance
degree. Schooling in other than regular schools is protection provided by the basic plan. It provides
counted only if the credits obtained are regarded as insurance protection covering physicians' and surgeons'
transferable to a school in the regular school system. services and a variety of medical and other health
services received either in hospitals or on an ambulatory
Looking for Work basis. It is financed through monthly premium payments
A person who is trying to get work or trying to establish by each enrollee, and subsidized by Federal general
a business or profession. revenue funds.
March Supplement Weight The Medicare question on the ASEC supplement
The March supplement weight is on all person records attempted to identify all persons 15 years old and over
and is used to produce "supplement" estimates; that is, who were "covered" by Medicare at any time during the
income, work experience, migration, and family previous calendar year. The term "covered" means
characteristic estimates. enrolled in the Medicare Program. In order to be
counted, the person did not necessarily have to receive
Marital Status medical care paid for by Medicare.
The marital status classification identifies four major
categories: single (never married), married, widowed, Medicaid
and divorced. These terms refer to the marital status at The Medicaid Program is designed to provide medical
the time of enumeration. assistance to needy families with dependent children,
and to aged, blind, or permanently and totally disabled
The category "married" is further divided into "married, individuals whose incomes and resources are insufficient
civilian spouse present," "married, Armed Forces spouse to meet the costs of necessary medical services. The
present," "married, spouse absent," "married, Armed program is administered by State agencies through
Forces spouse absent," and "separated." A person is grants from the Health Care Financing Administration of
classified as "married, spouse present" if the husband or the Department of Health and Human Services. Funding
wife is reported as a member of the household even for medical assistance payments consists of a
though he or she may be temporarily absent on business combination of Federal, State, and in some cases, local
or on vacation, visiting, in a hospital, etc., at the time of funds.
the enumeration. Persons reported as "separated"
included those with legal separations, those living apart Medicaid is a categorical program with complex
with intentions of obtaining a divorce, and other persons eligibility rules which vary from State to State. There
GLOSSARY 7-7
are two basic groups of eligible individuals: the Mobility Status
categorically eligible and the medically needy. The The population of the United States, 1 year old and over,
major categorically eligible groups are all Aid to is classified according to mobility status on the basis of a
Families with Dependent Children (AFDC) recipients comparison between the place of residence of each
and most Supplemental Security Income (SSI) individual at the time of the ASEC supplement and the
recipients. Other categorically eligible groups are (1) place of residence in March of the previous year. For
those who meet basic State cash assistance eligibility ASEC years ending in 0 and 5, this information is also
rules/aged, blind, disabled, needy single parents with collected for 5-year mobility for person 5 years old and
children, and, in some States, needy unemployed parents over.
with children, but who are not currently receiving money
payments; and (2) needy persons who meet categorical Migration status (one-year) is derived from answers to
eligibility standards but are institutionalized for medical questions about residence one year before the survey
reasons (e.g., low- income elderly persons in nursing date and the geographic location of the respondent’s
homes). However, such institutionalized persons are not current residence. One-year migration data are collected
included in the CPS universe and, therefore, are not annually. Similarly, five-year migration status is based
reflected in these statistics. on residence five years ago compared to current
residence. The first of three inquiries is: "Were/Was
In roughly one-half of the States, coverage is extended to ___living in this house one year ago?" If the answer was
the medically needy/persons meeting categorical age, "No," the enumerator asked, "Where did ___ live one
sex, or disability criteria, whose money incomes and year ago?" In classification, three main categories
assets exceed eligibility levels for cash assistance but are distinguish nonmovers, movers within the United States,
not sufficient to meet the cost of medical care. In such and movers from abroad.
States, qualifying income and asset levels are usually
above those set for cash assistance. Families with large Nonmovers are all persons who are living in the same
medical expenses relative to their incomes and assets house at the end of the period as at the beginning of the
may also meet medically needy eligibility standards in period. Movers within the United States are all persons
these States. who are living in a different house in the United States at
the end of the period than at the beginning of the period.
The Medicaid question on the ASEC supplement Movers from abroad include all persons whose place of
attempted to identify all persons who were "covered" by residence is outside the United States at the beginning of
Medicaid at any time during the previous calendar year. the period, that is, in an outlying area under the
The term "covered" means enrolled in the Medicaid jurisdiction of the United States or in a foreign country.
program, i.e., had a Medicaid medical assistance card, or
incurred medical bills which were paid for by Medicaid. Month-In-Sample
In order to be counted, the person did not have to receive The term is defined as the number of times a unit is
medical care paid for by Medicaid. interviewed. Each unit is interviewed eight times during
the life of the sample.
After data collection and creation of an initial microdata
file, further refinements were made to assign Medicaid Never Worked
coverage to children. In this procedure all children under A person who has never held a full- time civilian job
21 years old in families were assumed to be covered by lasting two consecutive weeks or more.
Medicaid if either the householder or spouse reported
being covered by Medicaid (this procedure was required Nonfamily Householder
mainly because the Medicaid coverage question was A nonfamily householder (formerly called a primary
asked only for persons 15 years old and over). All adult individual) is a person maintaining a household while
AFDC recipients and their children, and SSI recipients living alone or with nonrelatives only.
living in States which legally require Medicaid coverage
of all SSI recipients, were also assigned coverage. Nonfarm Self-employment Net Income
The term is defined as net money income (gross receipts
minus expenses) from an individual's own business,
professional enterprise, or partnership. Gross receipts
include the value of all goods sold and services rendered.
Expenses include costs of goods purchased, rent, heat,
light, power, depreciation charges, wages and salaries
paid, business taxes (not personal income taxes), etc. In
7-8 GLOSSARY
general, inventory changes are considered in determining during the reference week. For the March supplement, a
net income; replies based on income tax returns or other person is classified as having worked part-time during
official records do reflect inventory changes; however, the preceding calendar year if he worked less than 35
when values of inventory changes are not reported, net hours per week in a majority of the weeks in which he
income figures exclusive of inventory changes are worked during the year. Conversely, he is classified as
accepted. The value of saleable merchandise consumed having worked full-time if he worked 35 hours or more
by the proprietors of retail stores is not included as part per week during a majority of the weeks in which he
of net income. worked.
Nonworker Part-Year Work
A person who did not do any work in the calendar year Part-year work is classified as less than 50 weeks' work.
preceding the survey.
Pension Plan
Nonrelative of Householder with No Own Relatives The pension plan question on the ASEC supplement
in Household attempted to identify if pension plan coverage was
A nonrelative of the householder who has no relative(s) available through an employer or union and if the
of his own in the household. This category includes such employee was included. This information was collected
nonrelatives as a ward, a lodger, a servant, or a hired for civilian persons 15 years old and over who worked
hand, who has no relatives of his own living with him in during the previous calendar year.
the household.
Population Coverage
Nonrelative of Householder with Own Relatives Population coverage includes the civilian population of
(Including Spouse) in Household the United States plus approximately one million
Any household member who is not related to the members of the Armed Forces in the United States living
householder but has relatives of his own in the off post or with their families on post in households with
household; for example, a lodger, his spouse, and their least one civilian adult but excludes all other members of
son. the Armed Forces. This file excludes inmates of
institutions. The labor force and work experience data
Other Relative of Householder are not collected for Armed Forces members.
Any relative of the householder other than his spouse,
child (including natural, adopted, or step child), sibling, Poverty
or parent; for example, grandson, daughter-in-law, etc. In this file, families and unrelated individuals are
classified as being above or below the poverty level
Own Child using a poverty index adopted by a Federal Interagency
A child related by birth, marriage, or adoption to the Committee in 1969 and slightly modified in 1981.
family householder.
The modified index provides a range of income cutoffs
Part-Time, Economic Reasons or "poverty thresholds" adjusted to take into account
The item includes slack work, material shortages, repairs family size, number of children, and age of the family
to plant or equipment, start or termination of job during householder or unrelated individual; prior to 1981,
the week, and inability to find full-time work. (See also adjustments were also made on the basis of farm-
Full-Time Worker.) nonfarm residence and sex of the householder.
Part-Time Other Reasons The impact of these revisions on the poverty estimates is
The item includes labor dispute, bad weather, own minimal at the national level. The poverty cutoffs are
illness, vacation, demands of home housework, school, updated every year to reflect changes in the Consumer
no desire for full-time work, and full-time worker only Price Index. The average poverty threshold for a family
during peak season. of four was $12,091 in 1985. For a detailed explanation
of the poverty definition, see Current Population
Part-Time Work Reports, Series P-60, No. 238, Income, Poverty, and
Persons who work between 1 and 34 hours are Health Insurance Coverage in the United States: 2009.
designated as working "part-time" in the current job held
GLOSSARY 7-9
Public Assistance
(See Income.) Reentrants
Persons who previously worked at a full-time job lasting
Public or Other Subsidized Housing two weeks or longer but who are out of the labor force
Participation in public housing is determined by two prior to beginning to look for work.
factors: program eligibility and the availability of
housing. Income standards for initial and continuing Related Children
occupancy vary by local housing authority, although the Related children in a family include own children and all
limits are constrained by Federal guidelines. Rental other children in the household who are related to the
charges, which, in turn, define net benefits, are set by a householder by birth, marriage, or adoption. For each
Federal statute not to exceed 30 percent of net monthly type of family unit identified in the CPS, the count of
money income. A recipient unit can either be a family of own children under 18 years old is limited to single
two or more related persons or an individual who is (never married) children; however, "own children under
handicapped, elderly, or displaced by urban renewal or 25" and "own children of any age," include all children
natural disaster. regardless of marital status. The totals include never-
married children living away from home in college
There are some programs through which housing dormitories.
assistance is provided to low-income families and
individuals living in public or privately owned Related Subfamily
dwellings. Two of the more common types of programs A related subfamily is a married couple with or without
in which Federal, State, and local funds are used to children, or one parent with one or more own single
subsidize private sector housing are rent supplement and (never married) children under 18 years old, living in a
interest reduction plans. Under a rent supplement plan household and related to, but not including, the
the difference between the "fair market" rent and the rent householder or spouse. The most common example of a
charged to the tenant is paid to the owner by a related subfamily is a young married couple sharing the
government agency. Under an interest reduction home of the husband's or wife's parents. The number of
program, the amount of interest paid on the mortgage by related subfamilies is not included in the number of
the owner is reduced so that subsequent savings can be families.
passed along to low income tenants in the form of lower
rent charges. School, Major Activity
A person who spent most of his time during the survey
There were two questions dealing with public and low week attending any kind of public or private school,
cost housing on the ASEC supplement questionnaire. including trade or vocational schools in which students
The first question identifies residence in a housing unit receive no compensation in money or kind.
owned by a public agency. The second question
identifies beneficiaries who were not living in public School Lunches
housing projects, but who were paying lower rent due to The National School Lunch Program is designed to
a government subsidy. These questions differ from other assist States in providing a school lunch for all children
questions covering noncash benefits in that they at moderate cost. The National School Lunch Act of
establish current recipiency status in March of the 1946 was further amended in 1970 to provide free and
current year rather than recipiency status during the reduced-price school lunches for children of needy
previous year. families. The program is administered by the Food and
Nutrition Service of the U.S. Department of Agriculture
Race (USDA) through State educational agencies or through
Beginning in January 2003, revisions to race categories regional USDA nutrition services for nonprofit private
took effect. Respondents were allowed to report more schools. The program is funded by a combination of
than one race, making selections from a "flash-card". Federal funds and matching State funds.
The six race groups are: White, Black or African
American, American Indian or Alaskan Native, Asian, All students eating lunches prepared at participating
Native Hawaiian or Other Pacific Islander, and Other schools pay less than the total cost of the lunches. Some
race. The last category includes any other race except the students pay the "full established" price for lunch (which
five mentioned. Because of these changes, data on race itself is subsidized) while others pay a "reduced" price
are not directly comparable to previous files. Use caution for lunch, and still others receive a "free" lunch. Program
when interpreting changes in the racial composition of regulations require students receiving free lunches to live
the U.S. over time. in households with incomes below 125 percent of the
7-10 GLOSSARY
official poverty level. Those students receiving a
reduced- price school lunch (10 to 20 cents per meal) Total Money Income
live in households with incomes between 125 percent The term is defined as the arithmetic sum of money
and wages and salaries, net income from self-employment,
195 percent of the official poverty level. The data in this and income other than earnings. The total income of a
file, however, do not distinguish between recipiency of household is the arithmetic sum of the amounts received
free and reduced-price school lunches. by all income recipients in the household.
The questions on the ASEC supplement provide a very Unable to Work
limited amount of data for the school lunch program. A person is classified as unable to work because of long-
Questions concerning the school lunch program were term physical or mental illness, lasting six months or
designed to identify the number of members 5 to 18 longer.
years old in households who "usually" ate a hot lunch.
This defined the universe of household members usually Unemployed
receiving this noncash benefit. This was followed by a (See Labor Force.)
question to identify the number of members receiving
free or reduced price lunches. Unemployment Compensation
(See Income.)
Self-Employed
Self-employed persons are those who work for profit or Unpaid Family Workers
fees in their own business, profession or trade, or operate Unpaid family workers are persons working without pay
a farm. for 15 hours a week or more on a farm or in a business
operated by a member of the household to whom they
Secondary Individuals are related by birth or marriage.
A roomer, boarder, or resident employee with no
relatives in the household, or a group quarters member Unrelated Individuals
who has no relatives living with him/her. Unrelated individuals are persons of any age (other than
inmates of institutions) who are not living with any
Stretches of Unemployment relatives. An unrelated individual may be (1) a
A continuous stretch is one that is not interrupted by the nonfamily householder living alone or with nonrelatives
person getting a job or leaving the labor market to go to only, (2) a roomer, boarder, or resident employee with
school, to keep house, etc. A period of two weeks or no relatives in the household, or (3) a group quarters
more during which a person is employed or ceased member who has no relatives living with him/her. Thus,
looking for work is considered to break the continuity of a widow who occupies her house alone or with one or
the period of seeking work. more other persons not related to her, a roomer not
related to anyone else in the housing unit, a maid living
Topcode as a member of her employer's household but with no
For confidentiality purposes, usual hourly earnings from relatives in the household, and a resident staff member in
the current job and earnings from the longest job are a hospital living apart from any relatives are all
topcoded (i.e., cut off at a particular amount). examples of unrelated individuals.
Refer to Appendix F for an explanation and topcode Unrelated Subfamily
values of hourly earnings from the current job. Earnings An unrelated subfamily is a family that does not include
from the longest job are collected during enumeration up among its members the householder and relatives of the
to any amount; however, the amount is topcoded on the householder. Members of unrelated subfamilies may
public use file. (See page 5-1 for more information.) include persons such as guests, roomers, boarders, or
From the supplement, total person's income is the sum of resident employees and their relatives living in a
the amounts from the individual income types; total household. The number of unrelated subfamily members
family income is the sum of the total person’s income is included in the number of household members but is
for each family member; total household income is the not included in the count of family members.
sum of the total income for each person in the
household.
GLOSSARY 7-11
Persons living with relatives in group quarters were Wage and Salary Workers
formerly considered as members of families. However, Wage and salary workers receive wages, salary,
the number of such unrelated subfamilies is so small that commission, tips, or pay in kind from a private employer
persons in these unrelated subfamilies are included in the or from a governmental unit. Also included are persons
count of secondary individuals. who are self-employed in an incorporated business. (See
income.)
Veteran Status
If a person served at any time during the four most Weeks Worked in the Previous Year
recent wartime periods, the codes for all periods of Persons are classified according to the number of
service are entered. A person can report up to 4 periods different weeks, during the preceding calendar year, in
of service. The following codes are used: which they did any civilian work for pay or profit
(including paid vacations and sick leave) or worked
0 Children under 15 without pay on a family-operated farm or business.
1 September 2001 or later
2 August 1990 to August 2001 Workers
3 May 1975 to July 1990 (See Labor Force--Employed.)
4 Vietnam era (Aug 1964 to Apr 1975)
5 February 1955 to July 1964 Work Experience
6 Korean War (July 1950 to January 1955) Includes those persons who during the preceding
7 January 1947 to June 1950 calendar year did any work for pay or profit or worked
8 World War II (Dec. 1941 to Dec. 1946) without pay on a family- operated farm or business at
9 November 1941 or earlier any time during the year, on a part-time or full-time
basis.
Year-Round Full-Time Worker
A year-round full- time worker is one who usually
worked 35 hours or more per week for 50 weeks or more
during the preceding calendar year.
7-12 GLOSSARY
Geographic Concepts
Geographic Division
An area composed of contiguous States, with Alaska and Hawaii also included in one of the divisions. (A State is one of
the 51 major political units in the United States.) The nine geographic divisions have been largely unchanged for the
presentation of summary statistics since the 1910 census.
Regions
There are four regions: Northeast, Midwest (formerly North Central) 1, West, and South. States and divisions
within regions are presented in the tables below.
NORTHEAST REGION
New England Division Middle Atlantic Division
Connecticut New Jersey
Maine New York
Massachusetts Pennsylvania
New Hampshire
Rhode Island
Vermont
MIDWEST REGION
East North Central Division West North Central Division
Illinois Iowa
Indiana Kansas
Michigan Minnesota
Ohio Missouri
Wisconsin Nebraska
North Dakota
South Dakota
MIDWEST REGION
Mountain Division Pacific Division
Arizona Alaska
Colorado California
Idaho Hawaii
Montana Oregon
Nevada Washington
Utah
Wyoming
New Mexico
1
The Midwest Region was designated as the North Central Region until June 1964
GLOSSARY 7-13
SOUTH REGION
East South Central Division West South Central Division South Atlantic Division
Alabama Arkansas Delaware
Kentucky Louisiana District of Columbia
Mississippi Oklahoma Florida
Tennessee Texas Georgia
Maryland
North Carolina
South Carolina
Virginia
West Virginia
7-14 GLOSSARY
APPENDIX A
INDUSTRY CLASSIFICATION
Industry Classification Codes for Detailed Industry (4 digit)
(Starting January 2020)
These categories are aggregated into 52 detailed groups and 14 major groups (see pages 10-13 of this
attachment).
These codes correspond to items PEIOIND and INDUSTRY. See Appendix F of this document for ascii
file locations. The codes in the right hand column are the NAICS equivalent.
CENSUS NAICS
CODE DESCRIPTION CODE
Agriculture, Forestry, Fishing, and Hunting
0170 Crop production 111
0180 Animal production 112
0190 Forestry except logging 1131, 1132
0270 Logging 1133
0280 Fishing, hunting, and trapping 114
0290 Support activities for agriculture and forestry 115
Mining
0370 Oil and gas extraction 211
0380 Coal mining 2121
0390 Metal ore mining 2122
0470 Nonmetallic mineral mining and quarrying and not specified type of mining Part of 21
0490 Support activities for mining 213
Utilities
0570 Electric power generation, transmission and distribution Pt. 2211
0580 Natural gas distribution Pt. 2212
0590 Electric and gas, and other combinations Pts. 2211, 2212
0670 Water, steam, air-conditioning, and irrigation systems 22131, 22133
0680 Sewage treatment facilities 22132
0690 Not specified utilities Part of 22
INDUSTRY CLASSIFICATION A-1
CENSUS NAICS
CODE DESCRIPTION CODE
Construction
0770 ** Construction 23
(Includes the cleaning of buildings and dwellings is incidental during
construction and immediately after construction)
Manufacturing
Nondurable Goods manufacturing
1070 Animal food, grain and oilseed milling 3111, 3112
1080 Sugar and confectionery products 3113
1090 Fruit and vegetable preserving and specialty food manufacturing 3114
1170 Dairy product manufacturing 3115
1180 Animal slaughtering and processing 3116
1190 Retail bakeries 311811
1270 Bakeries, except retail 3118 exc.
311811
1280 Seafood and other miscellaneous foods, n.e.c. 3117, 3119
1290 Not specified food industries Part of 311
1370 Beverage manufacturing 3121
1390 Tobacco manufacturing 3122
1470 Fiber, yarn, and thread mills 3131
1480 Fabric mills, except knitting 3132 exc.
31324
1490 Textile and fabric finishing and coating mills 3133
1570 Carpet and rug mills 31411
1590 Textile product mills, except carpets and rugs 314 exc. 31411
1670 Knitting mills 31324, 3151
1691 Cut and sew apparel manufacturing, apparel accessories, and other apparel manf. 3152, 3159
1770 Footwear manufacturing 3162
1790 Leather tanning and products, except footwear manufacturing 3161, 3169
1870 Pulp, paper, and paperboard mills 3221
1880 Paperboard containers and boxes 32221
1890 Miscellaneous paper and pulp products 32222, 32223,
32229
1990 Printing and related support activities 3231
2070 Petroleum refining 32411
2090 Miscellaneous petroleum and coal products 32419
2170 Resin, synthetic rubber and fibers, and filaments manufacturing 3252
2180 Agricultural chemical manufacturing 3253
2190 Pharmaceutical and medicine manufacturing 3254
2270 Paint, coating, and adhesive manufacturing B46 3255
2280 Soap, cleaning compound, and cosmetics manufacturing 3256
2290 Industrial and miscellaneous chemicals 3251, 3259
2370 Plastics product manufacturing 3261
2380 Tire manufacturing 32621
2390 Rubber products, except tires, manufacturing 32622, 32629
A-2 INDUSTRY CLASSIFICATION
CENSUS NAICS
CODE DESCRIPTION CODE
Durable Goods Manufacturing
2470 Pottery, ceramics, and related products manufacturing 32711
2480 Structural clay product manufacturing 32712
2490 Glass and glass product manufacturing 3272
2570 Cement, concrete, lime, and gypsum product manufacturing 3273, 3274
2590 Miscellaneous nonmetallic mineral product manufacturing 3279
2670 Iron and steel mills and steel product manufacturing 3311, 3312
2680 Aluminum production and processing 3313
2690 Nonferrous metal, except aluminum, production and processing 3314
2770 Foundries 3315
2780 Metal forgings and stampings 3321
2790 Cutlery and hand tool manufacturing 3322
2870 Structural metals, and tank and shipping container manufacturing 3323, 3324
2880 Machine shops; turned product; screw, nut and bolt manufacturing 3327
2890 Coating, engraving, heat treating and allied activities 3328
2970 Ordnance 332992 to
332995
2980 Miscellaneous fabricated metal products manufacturing 3325, 3326,
3329 exc.
332992, 332993,
332994, 332995
2990 Not specified metal industries Part of 331
and 332
3070 Agricultural implement manufacturing 33311
3080 Construction, mining and oil field machinery manufacturing 33312, 33313
3095 Commercial and service industry machinery manufacturing 3333
3170 Metalworking machinery manufacturing 3335
3180 Engines, turbines, and power transmission equipment manufacturing 3336
3291 "Machinery manufacturing, n.e.c. or not specified" 3332, 3334,
3339, Part of 333
3365 Computer and peripheral equipment manufacturing 3341
3370 Communications, audio, and video equipment manufacturing 3342, 3343
3380 Navigational, measuring, electromedical, and control instruments manufacturing 3345
3390 Electronic component and product manufacturing, n.e.c. 3344, 3346
3470 Household appliance manufacturing 3352
3490 Electrical lighting, equipment, and supplies manufacturing, n.e.c. 3351, 3353,
3359
3570 Motor vehicles and motor vehicle equipment manufacturing 3361, 3362,
3363
3580 Aircraft and parts manufacturing 336411 to
336413
3590 Aerospace products and parts manufacturing 336414,
336415, 336419
3670 Railroad rolling stock manufacturing 3365
3680 Ship and boat building 3366
3690 Other transportation equipment manufacturing 3369
INDUSTRY CLASSIFICATION A-3
CENSUS NAICS
CODE DESCRIPTION CODE
3770 Sawmills and wood preservation 3211
3780 Veneer, plywood, and engineered wood products 3212
3790 Prefabricated wood buildings and mobile homes 321991,
321992
3875 Miscellaneous wood products 3219 exc.
321991, 321992
3895 Furniture and related product manufacturing 337
3960 Medical equipment and supplies manufacturing 3391
3970 Toys, amusement, and sporting goods manufacturing 33992, 33993
3980 Miscellaneous manufacturing, n.e.c. 3399 exc.
33992, 33993
3990 Not specified manufacturing industries Part of 31, 32, 33
Wholesale Trade
Durable Goods Wholesale
4070 Motor vehicles, parts and supplies, merchant wholesalers 4231
4080 Furniture and home furnishing, merchant wholesalers 4232
4090 Lumber and other construction materials, merchant wholesalers 4233
4170 Professional and commercial equipment and supplies, merchant wholesalers 4234
4180 Metals and minerals, except petroleum, merchant wholesalers 4235
4195 Household appliances and electrical and electronic goods, merchant wholesalers 4236
4265 Hardware, plumbing and heating equipment, and supplies, merchant wholesalers 4237
4270 Machinery, equipment, and supplies, merchant wholesalers 4238
4280 Recyclable material, merchant wholesalers 42393
4290 Miscellaneous durable goods, merchant wholesalers 4239 exc.
42393
Nondurable Goods Wholesale
4370 Paper and paper products, merchant wholesalers 4241
4380 Drugs, sundries, and chemical and allied products, merchant wholesalers 4242, 4246
4390 Apparel, fabrics, and notions, merchant wholesalers 4243
4470 Groceries and related products, merchant wholesalers 4244
4480 Farm product raw materials, merchant wholesalers 4245
4490 Petroleum and petroleum products, merchant wholesalers 4247
4560 Alcoholic beverages, merchant wholesalers 4248
4570 Farm supplies, merchant wholesalers 42491
4580 Miscellaneous nondurable goods, merchant wholesalers 4249 exc.
42491
4585 Wholesale electronic markets, agents and brokers 4251
4590 Not specified wholesale trade Part of 42
A-4 INDUSTRY CLASSIFICATION
CENSUS NAICS
CODE DESCRIPTION CODE
Retail Trade
4670 Automobile dealers 4411
4680 Other motor vehicle dealers 4412
4690 Auto parts, accessories, and tire stores 4413
4770 Furniture and home furnishings stores 442
4780 Household appliance stores 443141
4795 Electronics stores 443142
4870 Building material and supplies dealers 4441 exc.
44413
4880 Hardware stores 44413
4890 Lawn and garden equipment and supplies stores 4442
4971 "Supermarkets and Other Grocery (except Convenience) Stores"44511
4972 Convenience Stores 44512
4980 Specialty food stores 4452
4990 Beer, wine, and liquor stores 4453
5070 Pharmacies and drug stores 4461
5080 Health and personal care, except drug, stores 446 exc.
44611
5090 Gasoline stations 447
5170 Clothing and accessories, except shoe, stores 448 exc.
44821, 4483
5180 Shoe stores 44821
5190 Jewelry, luggage, and leather goods stores 4483
5275 Sporting goods, and hobby and toy stores 45111, 45112
5280 Sewing, needlework, and piece goods stores 45113
5295 Musical instrument and supplies stores 45114
5370 Book stores and news dealers 45121
5381 Department stores 45221
5391 General merchandise stores, including warehouse clubs and supercenters 4523
5470 Retail florists 4531
5480 Office supplies and stationery stores 45321
5490 Used merchandise stores 4533
5570 Gift, novelty, and souvenir shops 45322
5580 Miscellaneous retail stores 4539
5593 Electronic shopping and mail-order houses 454110
5670 Vending machine operators 4542
5680 Fuel dealers 45431
5690 Other direct selling establishments 45439
5790 Not specified retail trade Part of 44, 45
INDUSTRY CLASSIFICATION A-5
CENSUS NAICS
CODE DESCRIPTION CODE
Transportation and Warehousing
6070 Air transportation 481
6080 Rail transportation 482
6090 Water transportation 483
6170 Truck transportation 484
6180 Bus service and urban transit 4851, 4852,
4854, 4855,
4859
6190 Taxi and limousine service 4853
6270 Pipeline transportation 486
6280 Scenic and sightseeing transportation 487
6290 Services incidental to transportation 488
6370 Postal Service 491
6380 Couriers and messengers 492
6390 Warehousing and storage 493
Information
6470 Newspaper publishers 51111
6480 Publishing, except newspapers and software 5111 exc.
51111
6490 Software publishing 5112
6570 Motion pictures and video industries 5121
6590 Sound recording industries 5122
6670 Radio and television broadcasting and cable 515
6672 Internet Publishing and Broadcasting 51913
6680 Wired telecommunications carriers 517311
6690 Other telecommunications services 517 exc.
517311
6695 Data processing, hosting, and related services 518
6770 Libraries and archives 51912
6780 Other information services 5191 exc.
51912, 51913
Finance, Insurance, Real Estate, and Rental and Leasing
Finance and Insurance
6870 Banking and related activities 521, 52211,
52219
6880 Savings institutions, including credit unions 52212, 52213
6890 Non-depository credit and related activities 5222, 5223
6970 Securities, commodities, funds, trusts, and other financial investments 523, 525
6991 Insurance carriers 5241
6992 Agencies, brokerages, and other insurance related activities 5242
A-6 INDUSTRY CLASSIFICATION
CENSUS NAICS
CODE DESCRIPTION CODE
Real Estate and Rental and Leasing
7071 Lessors of real estate, and offices of real estate agents and brokers 5311, 5312
7072 Real estate property managers, offices of real estate appraisers, and other 5313
activities related to real estate
7080 Automotive equipment rental and leasing 5321
7181 Other consumer goods rental 53221, 532281,
532282, 532283
7190 Commercial, industrial, and other intangible assets rental and leasing 5324, 533
Professional, Scientific, Management, Administrative, and Waste management services
Professional, Scientific, and Technical Services
7270 Legal services 5411
7280 Accounting, tax preparation, bookkeeping, and payroll services 5412
7290 Architectural, engineering, and related services 5413
7370 Specialized design services 5414
7380 Computer systems design and related services 5415
7390 Management, scientific, and technical consulting services 5416
7460 Scientific research and development services 5417
7470 Advertising and related services 5418
7480 Veterinary services 54194
7490 Other professional, scientific, and technical services 5419 exc.
54194
Management, Administrative and Support, and Waste Management Services
Management of companies and enterprises
7570 Management of companies and enterprises 551
Administrative and support and waste management services
7580 Employment services 5613
7590 Business support services 5614
7670 Travel arrangements and reservation services 5615
7680 Investigation and security services 5616
7690 Services to buildings and dwellings 5617 exc.
56173
(except cleaning during construction and immediately after construction) 7770
7770 Landscaping services 56173
7780 Other administrative and other support services 5611, 5612,
5619
7790 Waste management and remediation services 562
INDUSTRY CLASSIFICATION A-7
CENSUS NAICS
CODE DESCRIPTION CODE
Educational, Health and Social Services
Educational Services
7860 Elementary and secondary schools 6111
7870 Colleges and universities, including junior colleges 6112, 6113
7880 Business, technical, and trade schools and training 6114, 6115
7890 Other schools, instruction, and educational services 6116, 6117
Health Care and Social Assistance
7970 Offices of physicians 6211
7980 Offices of dentists 6212
7990 Offices of chiropractors 62131
8070 Offices of optometrists 62132
8080 Offices of other health practitioners 6213 exc.
62131, 62132
8090 Outpatient care centers 6214
8170 Home health care services 6216
8180 Other health care services 6215, 6219
8191 General medical and surgical hospitals, and specialty 6221, 6223
(except psychiatric and substance abuse) hospitals
8192 Psychiatric and substance abuse hospitals 6222
8270 Nursing care facilities 6231
8290 Residential care facilities, without nursing 6232, 6233,
6239
8370 Individual and family services 6241
8380 Community food and housing, and emergency services 6242
8390 Vocational rehabilitation services 6243
8470 Child day care services 6244
Arts, Entertainment, Recreation, Accommodation, and Food Services
Arts, Entertainment, and Recreation
8561 Performing arts companies 7111
8562 Spectator sports 7112
8563 Promoters of performing arts, sports, and similar events, agents 7113, 7114
and managers for artists, athletes
8564 Independent artists, writers, and performers 7115
8570 Museums, art galleries, historical sites, and similar institutions 712
8580 Bowling centers 71395
8590 Other amusement, gambling, and recreation industries 713 exc.
71395
Accommodation and Food Service
8660 Traveler accommodation 7211
8670 Recreational vehicle parks and camps, and rooming and boardinghouses, 7212, 7213
dormitories, and workers' camps
8680 Restaurants and other food services 722 exc. 7224
8690 Drinking places, alcoholic beverages 7224
A-8 INDUSTRY CLASSIFICATION
CENSUS NAICS
CODE DESCRIPTION CODE
Other Services (Except Public Administration)
8770 Automotive repair and maintenance 8111 exc.
811192
8780 Car washes 811192
8790 Electronic and precision equipment repair and maintenance 8112
8870 Commercial and industrial machinery and equipment repair and maintenance 8113
8891 Personal and household goods repair and maintenance 8114
8970 Barber shops 812111
8980 Beauty salons 812112
8990 Nail salons and other personal care services 812113,
81219
9070 Dry cleaning and laundry services 8123
9080 Funeral homes, cemeteries, and crematories 8122
9090 Other personal services 8129
9160 Religious organizations 8131
9170 Civic, social, advocacy organizations, and grant making and giving services 8132, 8133,
8134
9180 Labor unions 81393
9190 Business, professional, political, and similar organizations 8139 exc.
81393
9290 Private households 814
Public Administration
9370 Executive offices and legislative bodies 92111, 92112,
92114, pt. 92115
9380 Public finance activities 92113
9390 Other general government and support 92119
9470 Justice, public order, and safety activities 922, pt. 92115
9480 Administration of human resource programs 923
9490 Administration of environmental quality and housing programs 924, 925
9570 Administration of economic programs and space research 926, 927
9590 National security and international affairs 925
Armed Forces
9890 Armed Forces 9281
INDUSTRY CLASSIFICATION A-9
Detailed Industry Recodes
(01-52)
These codes correspond to item A_DTIND. See Appendix F of this document for the ascii file location.
CODE DESCRIPTION INDUSTRY CODE
1 Agriculture 0170 - 0180,
0290
2 Forestry, logging, fishing, hunting, and trapping 0190 - 0280
3 Mining 0370 - 0490
4 Construction 0770
5 Nonmetallic mineral products 2470 - 2590
6 Primary metals and fabricated metal products 2670 - 2990
7 Machinery manufacturing 3070 - 3291
8 Computer and electronic products 3365 - 3390
9 Electrical equipment, appliance manufacturing 3470, 3490
10 Transportation equipment manufacturing 3570 - 3690
11 Wood products 3770 - 3875
12 Furniture and fixtures manufacturing 3895
13 Miscellaneous and not specified manufacturing 3960 - 3990
14 Food manufacturing 1070 - 1290
15 Beverage and tobacco products 1370, 1390
16 Textile, apparel, and leather manufacturing 1470 - 1790
17 Paper and printing 1870 - 1990
18 Petroleum and coal products 2070, 2090
19 Chemical manufacturing 2170 - 2290
20 Plastics and rubber products 2370 - 2390
21 Wholesale trade 4070 - 4590
22 Retail trade 4670 - 5790
23 Transportation and warehousing 6070 - 6390
24 Utilities 0570 - 0690
25 Publishing industries (except internet) 6470 - 6490
26 Motion picture and sound recording industries 6570, 6590
27 Broadcasting (except internet) 6670
28 Internet publishing and broadcasting 6675
29 Telecommunications 6680, 6690
30 Internet service providers and data processing services 6692, 6695
31 Other information services 6770, 6780
32 Finance 6870 - 6970
33 Insurance 6990
34 Real estate 7070
35 Rental and leasing services 7080 - 7190
36 Professional and technical services 7270 - 7490
37 Management of companies and enterprises 7570
38 Administrative and support services 7580 - 7780
39 Waste management and remediation services 7790
40 Educational services 7860 - 7890
41 Hospitals 8190
42 Health care services, except hospitals 7970 - 8180,
INDUSTRY CLASSIFICATION A-10
CENSUS NAICS
CODE DESCRIPTION CODE
43 Social assistance 8370 - 8470
44 Arts, entertainment, and recreation 8560 - 8590
45 Accommodation 8660, 8670
46 Food services and drinking places 8680, 8690
47 Repair and maintenance 8770 - 8890
48 Personal and laundry services 8970 - 9090
49 Membership associations and organizations 9160 - 9190
50 Private households 9290
51 Public administration 9370 - 9590
52 Armed forces 9890
INDUSTRY CLASSIFICATION A-11
CENSUS NAICS
CODE DESCRIPTION CODE
Detailed Industry Recodes
(01-23)
These codes correspond to item WEIND. See Appendix F of this document for the ascii file location.
CODE DESCRIPTION INDUSTRY CODE
1 Agriculture, forestry, fishing, and hunting 0170-0290
2 Mining 0370-0490
3 Construction 0770
4 Durable goods manufacturing 2470-3990
5 Nondurable goods manufacturing 1070-2390
6 Wholesale trade 4070-4590
7 Retail trade 4670-5790
8 Transportation and warehousing 6070-6390
9 Utilities 0570-0690
10 Information 6470-6780
11 Finance and insurance 6870-6992
12 Real estate and rental and leasing 7070-7190
13 Professional, scientific, & technical services 7270-7490
14 Management, administrative and support, and waste management 7570-7790
services
15 Educational services 7860-7890
16 Health care and social assistance 7970-8470
17 Arts, entertainment, and recreation 8560-8590
18 Accommodations and food service 8660-8690
19 Private households 9290
20 Other services, except private households 8770-9190
21 Public administration 9370-9590
22 Armed forces and active duty military 9670-9890
23 Never Worked
A-12 INDUSTRY CLASSIFICATION
Major Industry Recodes
(01-15)
These codes correspond to items A_MJIND and WEMIND. See Appendix F of this document for the ascii file
location.
CODE DESCRIPTION INDUSTRY CODE
1 Agriculture, forestry, fishing, and hunting 0170-0290
2 Mining 0370-0490
3 Construction 0770
4 Manufacturing 1070-3990
5 Wholesale and retail trade 4070-5790
6 Transportation and utilities 6070-6390,
0570-0690
7 Information 6470-6780
8 Financial activities 6870-7190
9 Professional and business services 7270-7790
10 Educational and health services 7860-8470
11 Leisure and hospitality 8560-8690
12 Other services 8770-9290
13 Public administration 9370-9590
14 Armed Forces 9890
151 Never Worked
1
Only applies to ASEC variable WEMIND
INDUSTRY CLASSIFICATION A-13
APPENDIX B
OCCUPATION CLASSIFICATION
(Beginning January 2020)
These categories are aggregated into 23 detailed groups and 11 major groups (see pages 14-18 of this
appendix).
These codes correspond to items PEIOOCC and OCCUP. See Appendix F of this document for the ascii
file locations. These codes are also applicable for any other CPS supplements that collect occupation
data. The codes in the right hand column are the 2018 SOC equivalent.
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
Management, Business, Science, and Arts Occupations
Management Occupations
0010 Chief executives 11-1011
0020 General and operations managers 11-1021
0040 Advertising and promotions managers 11-2011
0051 Marketing Managers 11-2021
0052 Sales managers 11-2022
0060 Public relations and fundraising managers 11-2030
0101 Administrative services managers 11-3012
0102 Facilities managers 11-3013
0110 Computer and information systems managers 11-3021
0120 Financial managers 11-3031
0135 Compensation and benefits managers 11-3111
0136 Human resources managers 11-3121
0137 Training and development managers 11-3131
0140 Industrial production managers 11-3051
0150 Purchasing managers 11-3061
0160 Transportation, storage, and distribution managers 11-3071
0205 Farmers, ranchers, and other agricultural managers 11-9013
0220 Construction managers 11-9021
0230 Education and childcare administrators 11-9030
0300 Engineering managers 11-9041
0310 Food service managers 11-9051
0335 Entertainment and recreation managers 11-9070
0340 Lodging managers 11-9081
0350 Medical and health services managers 11-9111
0360 Natural sciences managers 11-9121
0410 Property, real estate, and community association managers 11-9141
0420 Social and community service managers 11-9151
0425 Emergency management directors 11-9161
0440 Managers, all other 11-9199
OCCUPATION CLASSIFICATION B-1
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
0430 Managers, all other 11-9161
Business and Financial Operations Occupations
0500 Agents and business managers of artists, performers, and athletes 13-1011
0510 Purchasing agents and buyers, farm products 13-1021
0520 Wholesale and retail buyers, except farm products 13-1022
0530 Purchasing agents, except wholesale, retail, and farm products 13-1023
0540 Claims adjusters, appraisers, examiners, and investigators 13-1030
0565 Compliance officers 13-1041
0600 Cost estimators 13-1051
0630 Human resource workers 13-1070
0640 Compensation, benefits, and job analysis specialists 13-1141
0650 Training and development specialists 13-1151
0700 Logisticians 13-1081
0705 Project management specialists 13-1082
0710 Management analysts 13-1111
0725 Meeting, convention, and event planners 13-1121
0726 Fundraisers 13-1131
0735 Market research analysts and marketing specialists 13-1161
0750 Business operations specialists, all other 13-1199
0800 Accountants and auditors 13-2011
0810 Property appraisers and assessors 13-2020
0820 Budget analysts 13-2031
0830 Credit analysts 13-2041
0845 Financial and investment analysts 13-2051
0850 Personal financial advisors 13-2052
0860 Insurance underwriters 13-2053
0900 Financial examiners 13-2061
0910 Loan counselors and officers 13-2070
0930 Tax examiners, collectors, and revenue agents 13-2081
0940 Tax preparers 13-2082
0960 Other financial specialists 13-2099
Computer, Engineering, and Science Occupations
Computer and Mathematical Occupations
1005 Computer and information research scientists 15-1221
1006 Computer systems analysts 15-1211
1007 Information security analysts 15-1212
1010 Computer programmers 15-1251
1021 Software developers 15-1252
1022 Software quality assurance analysts and testers 15-1253
1031 Web developers 15-1254
1032 Web or digital interface designers 15-1255
1050 Computer support specialists 15-1230
1065 Database administrators and architects 15-124X
1105 Network and computer systems administrators 15-1244
1106 Computer network architects 15-1241
B-2 OCCUPATION CLASSIFICATION
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
1108 Computer occupations, all other 15-1199
1200 Actuaries 15-2011
1220 Operations research analysts 15-2031
1240 Other mathematical science occupations 15-20XX
Architecture and Engineering Occupations
1300 Architects, except landscape and naval 17-1011
1306 Landscape architects 17-1012
1310 Surveyors, cartographers, and photogrammetrists 17-1020
1320 Aerospace engineers 17-2011
1340 Agricultural and biomedical engineers 17-20XX
1350 Chemical engineers 17-2041
1360 Civil engineers 17-2051
1400 Computer hardware engineers 17-2061
1410 Electrical and electronic engineers 17-2070
1420 Environmental engineers 17-2081
1430 Industrial engineers, including health and safety 17-2110
1440 Marine engineers and naval architects 17-2121
1450 Materials engineers 17-2131
1460 Mechanical engineers 17-2141
1500 Mining and geological engineers, including mining safety engineers 17-2151
1520 Petroleum engineers 17-2171
1530 Engineers, all other 17-2199
1541 Architectural and civil drafters 17-3011
1545 Other drafters 17-301X
1551 Electrical and electronic engineering technologists and technicians 17-3023
1555 Other engineering technologists and technicians, except drafters 17-302X
1560 Surveying and mapping technicians 17-3031
Life, Physical, and Social Science Occupations
1600 Agricultural and food scientists 19-1010
1610 Biological scientists 19-1020
1640 Conservation scientists and foresters 19-1030
1650 Medical scientists and life scientists, all other 19-10XX
1700 Astronomers and physicists 19-2010
1710 Atmospheric and space scientists 19-2021
1720 Chemists and materials scientists 19-2030
1740 Environmental scientists and geoscientists 19-2040
1760 Physical scientists, all other 19-2099
1800 Economists 19-3011
1820 Psychologists 19-3030
1840 Urban and regional planners 19-3051
1860 Miscellaneous social scientists, including survey researchers and sociologists 19-30XX
1900 Agricultural and food science technicians 19-4010
1910 Biological technicians 19-4021
1920 Chemical technicians 19-4031
1935 Geoscience and environmental science technicians 19-4040
OCCUPATION CLASSIFICATION B-3
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
1970 Other life, physical, and social science technicians 19-40XX
1980 Occupational health and safety specialists and technicians 19-5010
Education, Legal, Community Service, Arts, and Media Occupations
Community and Social Services Occupations
2001 Substance abuse and behavioral disorder counselors 21-1011
2002 Educational, guidance, and career counselors and advisors 21-1012
2003 Marriage and family therapists 21-1013
2004 Mental health counselors 21-1014
2005 Rehabilitation counselors 21-1015
2006 Counselors, all other 21-1019
2011 Child, family, and school social workers 21-1021
2012 Healthcare social workers 21-1022
2013 Mental health and substance abuse social workers 21-1023
2014 Social workers, all other 21-1029
2015 Probation officers and correctional treatment specialists 21-1092
2016 Social and human service assistants 21-1093
2025 Other community and social service specialists 21-109X
2040 Clergy 21-2011
2050 Directors, religious activities and education 21-2021
2060 Religious workers, all other 21-2099
Legal Occupations
2100 Lawyers 23-1011
2105 Judicial law clerks 23-1012
2145 Paralegals and legal assistants 23-2011
2170 Title examiners, abstractors, and searchers 23-2093
2180 Legal support workers, all other 23-2099
Education Instruction and Library Occupations
2205 Postsecondary teachers 25-1000
2300 Preschool and kindergarten teachers 25-2010
2310 Elementary and middle school teachers 25-2020
2320 Secondary school teachers 25-2030
2330 Special education teachers 25-2050
2340 Tutors 25-3041
2360 Other teachers and instructors 25-30XX
2400 Archivists, curators, and museum technicians 25-4010
2435 Librarians and media collections specialists 25-4022
2440 Library technicians 25-4031
2545 Teacher assistants 25-9040
2555 Other educational instruction and library workers 25-90XX
Arts, Design, Entertainment, Sports, and Media Occupations
B-4 OCCUPATION CLASSIFICATION
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
2600 Artists and related workers 27-1010
2631 Commercial and industrial designers 27-1021
2632 Fashion designers 27-1022
2633 Floral designers 27-1023
2634 Graphic designers 27-1024
2635 Interior designers 27-1025
2636 Merchandise displayers and window trimmers 27-1026
2640 Other designers 27-10XX
2700 Actors 27-2011
2710 Producers and directors 27-2012
2721 Athletes and sports competitors 27-2021
2722 Coaches and scouts 27-2022
2723 Umpires, referees, and other sports officials 27-2023
2740 Dancers and choreographers 27-2030
2751 Music directors and composers 27-2041
2752 Musicians and singers 27-2042
2755 Disc jockeys, except radio disc jockeys 27-2091
2770 Entertainers and performers, sports and related workers, all other 27-2099
2805 Broadcast announcers and radio disc jockeys 27-3011
2810 News analysts, reporters, and journalists 27-3023
2825 Public relations specialists 27-3031
2830 Editors 27-3041
2840 Technical writers 27-3042
2850 Writers and authors 27-3043
2861 Interpreters and translators 27-3091
2862 Court reporters and simultaneous captioners 27-3092
2865 Media and communication workers, all other 27-3099
2905 Broadcast, sound, and lighting technicians 27-4010
2910 Photographers 27-4021
2920 Television, video, and film camera operators and editors 27-4030
2970 Media and communication equipment workers, all other 27-4099
Healthcare Practitioners and Technical Occupations
3000 Chiropractors 29-1011
3010 Dentists 29-1020
3030 Dietitians and nutritionists 29-1031
3040 Optometrists 29-1041
3050 Pharmacists 29-1051
3090 Other physicians 29-12XX
3100 Surgeons 29-1240
3110 Physician assistants 29-1071
3140 Audiologists 29-1181
3150 Occupational therapists 29-1122
3160 Physical therapists 29-1123
3200 Radiation therapists 29-1124
3210 Recreational therapists 29-1125
3220 Respiratory therapists 29-1126
3230 Speech-language pathologists 29-1127
OCCUPATION CLASSIFICATION B-5
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
3245 Exercise physiologists and therapists, all other 29-112X
3250 Veterinarians 29-1131
3255 Registered nurses 29-1141
3256 Nurse anesthetists 29-1151
3258 Acupuncturists 29-1291
3261 Nurse practitioners 29-1171
3270 Healthcare diagnosing or treating practitioners, all other 29-1299
3300 Clinical laboratory technologists and technicians 29-2010
3310 Dental hygienists 29-1292
3321 Cardiovascular technologists and technicians 29-2031
3322 Diagnostic medical sonographers 29-2032
3323 Radiologic technologists and technicians 29-2034
3324 Magnetic resonance imaging technologists 29-2035
3330 Nuclear medicine technologists and medical dosimetrists 29-203X
3401 Emergency medical technicians 29-2042
3402 Paramedics 29-2043
3421 Pharmacy technicians 29-2052
3422 Psychiatric technicians 29-2053
3423 Surgical technologists 29-2055
3424 Veterinary technologists and technicians 29-2058
3430 Dietetic technicians and ophthalmic medical technicians 29-205X
3500 Licensed practical and licensed vocational nurses 29-2061
3515 Medical records specialists 29-2072
3520 Opticians, dispensing 29-2081
3545 Miscellaneous health technologists and technicians 29-2090
3550 Other healthcare practitioners and technical occupations 29-9000
Service Occupations
Healthcare Support Occupations
3601 Home health aides 31-1121
3602 Personal care aides 31-1122
3603 Nursing assistants 31-1131
3605 Orderlies and psychiatric aides 31-113X
3610 Occupational therapist assistants and aides 31-2010
3620 Physical therapist assistants and aides 31-2020
3630 Massage therapists 31-9011
3640 Dental assistants 31-9091
3645 Medical assistants 31-9092
3646 Medical transcriptionists 31-9094
3647 Pharmacy aides 31-9095
3648 Veterinary assistants and laboratory animal caretakers 31-9096
3649 Phlebotomists 31-9097
3655 Other healthcare support workers 31-909X
B-6 OCCUPATION CLASSIFICATION
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
Protective Service Occupations
3700 First-line supervisors of correctional officers 33-1011
3710 First-line supervisors of police and detectives 33-1012
3720 First-line supervisors of firefighting and prevention workers 33-1021
3725 First-line supervisors of security workers 33-1091
3735 First-line supervisors of protective service workers, all other 33-1099
3740 Firefighters 33-2011
3750 Fire inspectors 33-2020
3801 Bailiffs 33-3011
3802 Correctional officers and jailers 33-3012
3820 Detectives and criminal investigators 33-3021
3840 Parking enforcement workers 33-3041
3870 Police officers 33-3050
3900 Animal control workers 33-9011
3910 Private detectives and investigators 33-9021
3930 Security guards and gaming surveillance officers 33-9030
3940 Crossing guards and flaggers 33-9091
3945 Transportation security screeners 33-9093
3946 School bus monitors 33-9094
3960 Other protective service workers 33-909X
Food Preparation and Serving Related Occupations
4000 Chefs and head cooks 35-1011
4010 First-line supervisors of food preparation and serving workers 35-1012
4020 Cooks 35-2010
4030 Food preparation workers 35-2021
4040 Bartenders 35-3011
4055 Fast food and counter workers 35-3023
4110 Waiters and waitresses 35-3031
4120 Food servers, non-restaurant 35-3041
4130 Dining room and cafeteria attendants and bartender helpers 35-9011
4140 Dishwashers 35-9021
4150 Hosts and hostesses, restaurant, lounge, and coffee shop 35-9031
4160 Food preparation and serving related workers, all other 35-9099
Building and Grounds Cleaning and Maintenance Occupations
4200 First-line supervisors of housekeeping and janitorial workers 37-1011
4210 First-line supervisors of landscaping, lawn service, and grounds keeping workers 37-1012
4220 Janitors and building cleaners 31-201X
4230 Maids and housekeeping cleaners 37-2012
4240 Pest control workers 37-2021
4251 Landscaping and grounds keeping workers 37-3011
4252 Tree trimmers and pruners 37-3013
4255 Other grounds maintenance workers 37-301X
OCCUPATION CLASSIFICATION B-7
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
Personal Care and Service Occupations
4330 Supervisors of personal care and service workers 39-1010
4340 Animal caretakers 39-2021
4350 Animal trainers 39-2011
4400 Gaming services workers 39-3010
4420 Ushers, lobby attendants, and ticket takers 39-3031
4435 Embalmers, crematory operators and funeral attendants 39-40XX
4461 Other entertainment attendants and related workers 39-30XX 39-30XX
4465 Morticians, undertakers, and funeral arrangers 39-4031
4500 Barbers 39-5011
4510 Hairdressers, hairstylists, and cosmetologists 39-5012
4521 Manicurists and pedicurists 39-5092
4522 Skincare specialists 39-5094
4523 Other personal appearance workers 39-509X
4530 Baggage porters, bellhops, and concierges 39-6010
4540 Tour and travel guides 39-7010
4600 Child care workers 39-9011
4610 Personal and home care aides 39-9021
4621 Exercise trainers and group fitness instructors 39-9031
4622 Recreation workers 39-9032
4640 Residential advisors 39-9041
4655 Personal care and service workers, all other 39-9099
Sales and Office Occupations
Sales and Related Occupations
4700 First-line supervisors/managers of retail sales workers 41-1011
4710 First-line supervisors/managers of non-retail sales workers 41-1012
4720 Cashiers 41-2010
4740 Counter and rental clerks 41-2021
4750 Parts salespersons 41-2022
4760 Retail salespersons 41-2031
4800 Advertising sales agents 41-3011
4810 Insurance sales agents 41-3021
4820 Securities, commodities, and financial services sales agents 41-3031
4830 Travel agents 41-3041
4840 Sales representatives of services, except advertising, insurance, travel, and financial 41-3099
services
4850 Sales representatives, wholesale and manufacturing 41-4010
4900 Models, demonstrators, and product promoters 41-9010
4920 Real estate brokers and sales agents 41-9020
4930 Sales engineers 41-9031
4940 Telemarketers 41-9041
4950 Door-to-door sales workers, news and street vendors, and related workers 41-9091
4965 Sales and related workers, all other 41-9099
Office and Administrative Support Occupations
5000 First-Line supervisors of office and administrative support workers 43-1011
B-8 OCCUPATION CLASSIFICATION
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
5010 Switchboard operators, including answering service 43-2011
5020 Telephone operators 43-2021
5040 Communications equipment operators, all other 43-2099
5100 Bill and account collectors 43-3011
5110 Billing and posting clerks and machine operators 43-3021
5130 Gaming cage workers 43-3041
5140 Payroll and timekeeping clerks 43-3051
5150 Procurement clerks 43-3061
5160 Tellers 43-3071
5165 Financial clerks, all other 43-3099
5220 Court, municipal, and license clerks 43-4031
5230 Credit authorizers, checkers, and clerks 43-4041
5240 Customer service representatives 43-4051
5250 Eligibility interviewers, government programs 43-4061
5260 File Clerks 43-4071
5300 Hotel, motel, and resort desk clerks 43-4081
5310 Interviewers, except eligibility and loan 43-4111
5320 Library assistants, clerical 43-4121
5330 Loan interviewers and clerks 43-4131
5340 New accounts clerks 43-4141
5350 Order clerks 43-4151
5360 Human resources assistants, except payroll and timekeeping 43-4161
5400 Receptionists and information clerks 43-4171
5410 Reservation and transportation ticket agents and travel clerks 43-4181
5420 Information and record clerks, all other 43-4199
5500 Cargo and freight agents 43-5011
5510 Couriers and messengers 43-5021
5521 Public safety telecommunicators 43-5031
5522 Dispatchers, except police, fire, and ambulance 43-5032
5530 Meter readers, utilities 43-5041
5540 Postal service clerks 43-5051
5550 Postal service mail carriers 43-5052
5560 Postal service mail sorters, processors, and processing machine operators 43-5053
5600 Production, planning, and expediting clerks 43-5061
5610 Shipping, receiving, and inventory clerks 43-5071
5630 Weighers, measurers, checkers, and samplers, recordkeeping 43-5111
5710 Executive secretaries and executive administrative assistants 43-6011
5720 Legal secretaries and administrative assistants 43-6012
5730 Medical secretaries and administrative assistants 43-6013
5740 Secretaries and administrative assistants, except legal, medical, and executive 43-6014
5800 Computer operators 43-9011
5810 Data entry keyers 43-9021
5820 Word processors and typists 43-9022
5840 Insurance claims and policy processing clerks 43-9041
5850 Mail clerks and mail machine operators, except postal service 43-9051
5860 Office clerks, general 43-9061
5900 Office machine operators, except computer 43-9071
5910 Proofreaders and copy markers 43-9081
5920 Statistical assistants 43-9111
OCCUPATION CLASSIFICATION B-9
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
5940 Office and administrative support workers, including desktop publishers 43-9199
Natural Resources, Construction, and Maintenance Occupations
Farming, Fishing, and Forestry Occupations
6005 First-line supervisors of farming, fishing, and forestry workers 45-1011
6010 Agricultural inspectors 45-2011
6020 Animal breeders 45-2021
6040 Graders and sorters, agricultural products 45-2041
6050 Miscellaneous agricultural workers 45-2090
6115 Fishing and hunting workers 45-3031
6120 Forest and conservation workers 45-4011
6130 Logging workers 45-4020
Construction Trades
6200 First-line supervisors/managers of construction trades and extraction workers 47-1011
6210 Boilermakers 47-2011
6220 Brickmasons, blockmasons, and stonemasons 47-2020
6230 Carpenters 47-2031
6240 Carpet, floor, and tile installers and finishers 47-2040
6250 Cement masons, concrete finishers, and terrazzo workers 47-2050
6260 Construction laborers 47-2061
6305 Construction equipment operators 47-2070
6330 Drywall installers, ceiling tile installers, and tapers 47-2080
6355 Electricians 47-2111
6360 Glaziers 47-2121
6400 Insulation workers 47-2130
6410 Painters and paperhangers 47-2140
6441 Pipelayers 47-2151
6442 Plumbers, pipefitters, and steamfitters 47-2152
6460 Plasterers and stucco masons 47-2161
6500 Reinforcing iron and rebar workers 47-2171
6515 Roofers 47-2181
6520 Sheet metal workers 47-2211
6530 Structural iron and steel workers 47-2221
6600 Helpers, construction trades 47-3010
6660 Construction and building inspectors 47-4011
6700 Elevator installers and repairers 47-4021
6710 Fence erectors 47-4031
6720 Hazardous materials removal workers 47-4041
6730 Highway maintenance workers 47-4051
6740 Rail-track laying and maintenance equipment operators 47-4061
6765 Miscellaneous construction and related workers, including photovoltaic installers 47-4090
6800 Derrick, rotary drill, and service unit operators, oil and gas 47-5010
6825 Earth drillers, except oil and gas 47-5023
6835 Explosives workers, ordnance handling experts, and blasters 47-5032
6850 Underground mining machine operators 47-5040
6950 Other extraction workers 47-50XX
B-10 OCCUPATION CLASSIFICATION
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
Installation, Maintenance, and Repair Workers
7000 First-line supervisors of mechanics, installers, and repairers 49-1011
7010 Computer, automated teller, and office machine repairers 49-2011
7020 Radio and telecommunications equipment installers and repairers 49-2020
7030 Avionics technicians 49-2091
7040 Electric motor, power tool, and related repairers 49-2092
7100 Electrical and electronics repairers, industrial and utility 49-209X
7120 Electronic home entertainment equipment installers and repairers 49-2097
7130 Security and fire alarm systems installers 49-2098
7140 Aircraft mechanics and service technicians 49-3011
7150 Automotive body and related repairers 49-3021
7160 Automotive glass installers and repairers 49-3022
7200 Automotive service technicians and mechanics 49-3023
7210 Bus and truck mechanics and diesel engine specialists 49-3031
7220 Heavy vehicle and mobile equipment service technicians and mechanics 49-3040
7240 Small engine mechanics 49-3050
7260 Miscellaneous vehicle and mobile equipment mechanics, installers, and repairers 49-3090
7300 Control and valve installers and repairers 49-9010
7315 Heating, air conditioning, and refrigeration mechanics and installers 49-9021
7320 Home appliance repairers 49-9031
7330 Industrial and refractory machinery mechanics 49-904X
7340 Maintenance and repair workers, general 49-9071
7350 Maintenance workers, machinery 49-9043
7360 Millwrights 49-9044
7410 Electrical power-line installers and repairers 49-9051
7420 Telecommunications line installers and repairers 49-9052
7430 Precision instrument and equipment repairers 49-9060
7510 Coin, vending, and amusement machine servicers and repairers 49-9091
7540 Locksmiths and safe repairers 49-9094
7560 Riggers 49-9096
7610 Helpers--installation, maintenance, and repair workers 49-9098
7640 Other installation, maintenance, and repair workers 49-909X
Production, Transportation, and Material Moving Occupations
Production Occupations
7700 First-line supervisors of production and operating workers 51-1011
7720 Electrical, electronics, and electromechanical assemblers 51-2020
7730 Engine and other machine assemblers 51-2031
7740 Structural metal fabricators and fitters 51-2041
7750 Other assemblers and fabricators 51-20XX
7800 Bakers 51-3011
7810 Butchers and other meat, poultry, and fish processing workers 51-3020
7830 Food and tobacco roasting, baking, and drying machine operators and tenders 51-3091
7840 Food batchmakers 51-3092
7850 Food cooking machine operators and tenders 51-3093
7855 Food processing workers, all other 51-3099
OCCUPATION CLASSIFICATION B-11
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
7905 Forming machine setters, operators, and tenders, metal and plastic 51-4020
7925 Computer numerically controlled tool programmers and operators 51-9160
7950 Cutting, punching, and press machine setters, operators, and tenders, metal and plastic 51-4031
8000 Machinists 51-4041
8025 Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, 51-4033
metal and plastic
8030 Other machine tool setters, operators, and tenders, metal and plastic 51-403X
8040 Metal furnace and kiln operators and tenders 51-4050
8060 Molders and molding machine setters, operators, and tenders, metal and plastic 51-4070
8100 Model makers and patternmakers, metal and plastic 51-4060
8130 Tool and die makers 51-4111
8140 Welding, soldering, and brazing workers 51-4120
8225 Other metal workers and plastic workers 51-4XXX
8250 Prepress technicians and workers 51-5111
8255 Printing press operators 51-5112
8256 Print binding and finishing workers 51-5113
8300 Laundry and dry-cleaning workers 51-6011
8310 Shoe and leather workers 51-6040
8320 Pressers, textile, garment, and related materials 51-6021
8335 Sewing machine operators 51-6031
8350 Tailors, dressmakers, and sewers 51-6050
8365 Textile machine setters, operators, and tenders 51-6060
8450 Upholsterers 51-6093
8465 Other textile, apparel, and furnishings workers 51-609X
8500 Cabinetmakers and bench carpenters 51-7011
8510 Furniture finishers 51-7021
8530 Sawing machine setters, operators, and tenders, wood 51-7041
8540 Woodworking machine setters, operators, and tenders, except sawing 51-7042
8555 Water and liquid waste treatment plant and system operators 51-8031
8600 Other woodworkers 51-70XX
8610 Power plant operators, distributors, and dispatchers 51-8010
8620 Stationary engineers and boiler operators 51-8021
8630 Miscellaneous plant and system operators 51-8090
8640 Chemical processing machine setters, operators, and tenders 51-9010
8650 Crushing, grinding, polishing, mixing, and blending workers 51-9020
8710 Cutting workers 51-9030
8720 Extruding, forming, pressing, and compacting machine setters, operators, and tenders 51-9041
8730 Furnace, kiln, oven, drier, and kettle operators and tenders 51-9051
8740 Inspectors, testers, sorters, samplers, and weighers 51-9061
8750 Jewelers and precious stone and metal workers 51-9071
8760 Dental and ophthalmic laboratory technicians and medical appliance technicians 51-9080
8800 Packaging and filling machine operators and tenders 51-9111
8810 Painting workers 51-9120
8830 Photographic process workers and processing machine operators 51-9130
8850 Adhesive bonding machine operators and tenders 51-9191
8865 Other production equipment operators and tenders 51-919X
8910 Etchers and engravers 51-9194
8920 Molders, shapers, and casters, except metal and plastic 51-9195
8930 Paper goods machine setters, operators, and tenders 51-9196
8940 Tire builders 51-9197
B-12 OCCUPATION CLASSIFICATION
2018 2018
CENSUS SOC
CODE DESCRIPTION CODE
8950 Helpers--production workers 51-9198
8990 Other production workers 51-91XX
Transportation and Material Moving Occupations
Transportation Occupations
9005 Supervisors of transportation and material moving workers 53-1000
9030 Aircraft pilots and flight engineers 53-2010
9040 Air traffic controllers and airfield operations specialists 53-2020
9110 Ambulance drivers and attendants, except emergency medical technicians 53-3011
9121 Bus drivers, school 53-3051
9122 Bus drivers, transit and intercity 53-3052
9130 Driver/sales workers and truck drivers 53-3030
9141 Shuttle drivers and chauffeurs 53-3053
9142 Taxi drivers 53-3054
9150 Motor vehicle operators, all other 53-3099
9210 Locomotive engineers and operators 53-4010
9240 Railroad conductors and yardmasters 53-4031
9265 Other rail transportation workers 53-30XX
9300 Sailors and marine oilers 53-5011
9310 Ship and boat captains and operators 53-5020
9350 Parking attendants 53-6021
9365 Transportation service attendants 53-6030
9410 Transportation inspectors 53-6051
9415 Passenger attendants 53-6061
9430 Other transportation workers 53-60XX
Material Moving Occupations
9510 Crane and tower operators 53-7021
9570 Conveyor, dredge, and hoist and winch operators 53-70XX
9600 Industrial truck and tractor operators 53-7051
9610 Cleaners of vehicles and equipment 53-7061
9620 Laborers and freight, stock, and material movers, hand 53-7062
9630 Machine feeders and offbearers 53-7063
9640 Packers and packagers, hand 53-7064
9645 Stockers and order fillers 53-7065
9650 Pumping station operators 53-7070
9720 Refuse and recyclable material collectors 53-7081
9760 Other material moving workers 53-71XX
Military Specific Occupations
9840 Military Occupations 55-0000
OCCUPATION CLASSIFICATION B-13
Detailed Occupation Recodes
(01-53)
These codes correspond to item POCCU2. See Appendix F of this document for the ascii file location.
OCCUPATION
CODE DESCRIPTION CODE
1 Chief executives, general operations/advertising/promotions/ marketing/ sales/ 0010-0120
public relations/ administrative/ computer/ information systems/ and financial
managers
2 Compensation and benefits/human resources/ industrial production/ purchasing/ 0135-0220
transportation/ storage/ distribution/ farm/ ranch/ other agricultural managers,
farmers & ranchers, and construction managers
3 Education administrators, engineering/ food service/ gaming/ lodging/ 0230-0440
medical/ health/ natural sciences/ property/ real estate/ community
association/ social/ community service managers, funeral directors, postmasters
& mail superintendents, and all other managers
4 Agents & business managers of artists, performers, and athletes 500
5 Business operations specialists 0510-0750
6 Accountants and auditors 800
7 Financial specialists 0810-0960
8 Computer scientist, system analysts, information security analysts, computer 1005-1108
programmers, computer software engineers, support specialist, database/
network/ computer systems administrators, network systems, data
communication analysts, & network architects
9 Actuaries, mathematicians, operations research analysts, statisticians, misc. 1200-1240
mathematical science occupations
10 Architects, except naval 1305,1306
11 Surveyors, cartographer, & photogrammetrists 1310
12 1320-1560
Aerospace/ agricultural/ biomedical/ chemical/ civil/ computer hardware/
electrical/ electronic/ environmental/ industrial/ marine/ material/
mechanical/ mining/ geological/ nuclear/ petroleum/ and all other engineers,
naval architects, drafters, engineering/ surveying/ mapping technicians
13 Agricultural/ food/ biological/ conservation/ medical/ atmospheric/ space/ 1600-1760
materials/ environmental/ physical/ all other scientists, astronomers, physicists,
chemists, and geoscientists
14 Economists, market and survey researchers 1800-1815
15 Psychologists, sociologists, urban and regional planners misc. social scientists & 1820-1860
related workers
16 Agricultural/ food science/ biological/ chemical/ geological/ petroleum/ nuclear/ 1900-1980
other life/ physical/ social science technicians
17 Community and social services occupation 2000-2060
18 Lawyers, judges, magistrates, and other judicial workers 2100-2110
19 Paralegals & legal assistants, miscellaneous legal support workers 2145-2180
20 Postsecondary teachers 2205
B-14 OCCUPATION CLASSIFICATION
OCCUPATION
CODE DESCRIPTION CODE
21 Preschool & kindergarten/ elementary & middle school/ secondary school/ 2300-2360
special education teachers and other teachers & instructors
22 Archivists, curators, museum technicians, librarians, library technicians, teacher 2400-2555
assistants, and other education, training, & library workers
23 Arts, design, entertainment, sports, and media occupations 2600-2970
24 Chiropractors, dentists, dietitians, nutritionist, optometrists, pharmacists, 3000-3120
physicians, surgeons, physician assistants, and podiatrists
25 Registered nurses/anesthetists/midwives/practitioners, audiologists, 3140-3245,
occupational/ physical/ radiation/ recreational/ respiratory/ all other therapists, 3255-3258
speech-language pathologists
26 Veterinarians 3250
27 3260-3550
Health diagnosing/ treating/ all other practitioners, clinical lab./ diagnostic
related/ misc. health technologists & technicians, dental hygienists, emergency/
medical records/ health info. technicians, paramedics, licensed practical &
vocational nurses, opticians, and other healthcare practitioners
28 Nursing, psychiatric, & home health aides, occupational therapist assistants & 3600-3655
aides, physical therapists, dental/ medical assistants, and other healthcare
support occupations
29 First-line supervisors/ managers of correctional officers/ of police & detectives/ 3700-3735
of fire fighting & prevention workers, supervisors, protective service workers,
and all other
30 Fire fighters & inspectors, bailiffs, correctional officers, detectives & criminal 3740-3870
investigators, fish & game wardens, parking enforcement workers, police &
sheriff's patrol officers, and transit & railroad police
31 Animal control workers, private detectives and investigators, security guards & 3900-3960
gaming surveillance officers, crossing guards, lifeguards, and other protective
service
32 Chefs and head cooks, first line supervisors/ managers of food preparation and 4000-4020
serving workers, cooks
33 Food preparation/ server workers, bartenders, counter attendants, waiters/ 4030-4160
waitresses, food servers, dishwashers, hosts & hostesses
34 First-line supervisors/ managers of housekeeping and janitors workers/ of 4200-4210
landscaping, lawn service, & grounds keeping workers
35 Janitors/ building/ maid/ housekeeping cleaners, pest control and grounds 4220-4255
maintenance workers
36 First-line supervisors/ managers of gaming workers and of personal service 4300-4330
workers
37 Animal trainers, nonfarm animal caretakers, gaming & funeral services/ child 4340-4655
care/ recreation/ fitness/ personal care workers, motion picture projectionists,
ushers, lobby attendants, ticket takers, barbers, hairdressers, hairstylists,
cosmetologists, baggage porters, bellhops, concierges, personal & home care
aides, residential advisors,... and other personal care/ service
38 First-line supervisors/ managers of retail/ non-retail sales workers 4700-4710
OCCUPATION CLASSIFICATION B-15
OCCUPATION
CODE DESCRIPTION CODE
39 4720-4965
Cashiers, counter and rental clerks, parts & retail salespersons, advertising/
insurance/ financial services sales agents, sales representatives, travel agents,
models, demonstrators, & product promoters, real estate brokers & sales agent,
sales engineers, telemarketers, and all other sales & related workers
40 Office & admin. support occupations 5000-5940
41 Farming, fishing, & forestry occupations 6005-6130
42 First-line supervisors/ managers of construction trades & extraction workers, 6200-6220
boilermakers, brick masons, block masons, and stonemasons
43 Carpenters 6230
44 Carpet, floor, & tile installers and finishers, cement masons, concrete finishers, 6240-6330
& terrazzo workers, paving, surfacing, & tamping equipment operators,
construction laborers, drywall installers, ceiling tile installers, and tapers
45 Electricians 6355
46 6360-6765
Glaziers, insulation workers, painter, construction & maintenance, paperhangers,
painters, roofers, plumbers, sheet metal/ structural iron/ steel workers, elevator
installer & repairers, fence erector, hazardous materials removal workers,
highway maintenance/ misc. construction and related workers
47 Extraction workers 6800-6950
48 Installation, maintenance, & repair workers 7000-7640
49 Production occupations 7700-8990
50 Supervisors, transportation & material moving workers, aircraft pilots & flight 9000-9050
engineers, air traffic controllers, airfield operations specialists & flight
attendants
51 Ambulance drivers & attendants, bus/ taxi drivers, motor vehicle/ railroad 9110-9760
operators, sailors, ship & boat captains, ship engineers, transportation inspectors,
crane & tower operators, tank car/ truck/ ship loaders, and all other
transportation & material moving occupations
52 Armed forces & military specific occupations 9800-9840
53 Never Worked
B-16 OCCUPATION CLASSIFICATION
Detailed Occupation Recodes
(01-24)
These codes correspond to item A_DTOCC and WEMOCG. See Appendix F of this document for
the ascii file location.
CODE CODE DESCRIPTION OCCUPATION
CODE
1 Management occupations 0010-0440
2 Business and financial operations occupations 0500-0960
3 Computer and mathematical science occupations 1005-1240
4 Architecture and engineering occupations 1305-1560
5 Life, physical, and social science occupations 1600-1980
6 Community and social service occupation 2001-2060
7 Legal occupations 2100-2180
8 Education, training, and library occupations 2205-2550
9 Arts, design, entertainment, sports, and media occupations 2600-2970
10 Healthcare practitioner and technical occupations 3000-3550
11 Healthcare support occupations 3600-3655
12 Protective service occupations 3700-3960
13 Food preparation and serving related occupations 4000-4160
14 Building and grounds cleaning and maintenance occupations 4200-4255
15 Personal care and service occupations 4300-4655
16 Sales and related occupations 4700-4965
17 Office and administrative support occupations 5000-5940
18 Farming, fishing, and forestry occupations 6005-6130
19 Construction and extraction occupations 6200-6950
20 Installation, maintenance, and repair occupations 7000-7640
21 Production occupations 7700-8990
22 Transportation and material moving occupations 9005-9760
23 Armed Forces 9840
241 Never Worked
11
Only applies to ASEC variable WEMOCG
OCCUPATION CLASSIFICATION B-17
Major Occupation Group Recodes
(01-11)
These these codes correspond to items A_MJOCC. See Appendix F of this document for the ascii
file location.
CODE CODE DESCRIPTION OCCUPATION
CODE
1 Management, business, and financial occupations 0010-0960
2 Professional and related occupations 1005-3550
3 Service occupations 3601-4655
4 Sales and related occupations 4700-4965
5 Office and administrative support occupations 5000-5940
6 Farming, fishing, and forestry occupations 6005-6130
7 Construction and extraction occupations 6200-6950
8 Installation, maintenance, and repair occupations 7000-7640
9 Production occupations 7700-8990
10 Transportation and material moving occupations 9005-9760
11 Armed Forces 9840
B-18 OCCUPATION CLASSIFICATION
APPENDIX C
Weighted and Unweighted Counts
Category Weighted Unweighted
Total Persons 326,195 163,543
Total Family Reference Persons 88,843 45,397
Total Units 130,023 90,759
Interviewed Units (HHds * GQ) 130,023 62,850
Households (Family and NonFamily Householders) 129,931 62,812
Total Family Records in Households 151,510 73,105
Total Families (HHldr, Related, and Unrelated) 88,830 45,389
Family Householders With No Related Subfamilies 79,798 40,483
Family Householders With 1+ Related Subfamilies 4,109 2,278
Unrelated Subfamily 431 258
Related Subfamily 4,492 2,370
Total Unrelated Individuals 62,680 27,716
Nonfamily Householder 46,024 20,051
Other Persons Living With No Relatives 16,656 7,665
Total Person in Households 326,062 163,482
Civilians 15 Years and Older 265,047 128,435
Civilians Less Than 15 Years Old 59,926 34,426
Armed Forces Members 1,089 621
Group Quarters 92 38
Total Family Records In Group Quarters 108 46
Total Persons 133 61
Civilians 15 Years and Older 122 54
Civilians Less Than 15 Years Old 12 7
Armed Forces Members 0 0
Noninterviewed Units 0 27,909
Type A 0 16,455
Type B/C 0 11,454
TABLE OF COUNTS C -1
2021 ANNUAL SOCIAL AND ECONOMIC SUPPLEMENT
CPS FIELD REPRESENTATIVE / CATI INTERVIEWER
ITEMS BOOKLET
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-1
This document does not contain any Title 13 data or other Personally Identifiable
Information. All data are fictitious and any resemblance to actual data is coincidental.
Consistent with Field Division Policy, any names referenced in practice interviews or other
exercises are not meant to refer to any actual businesses, schools, group quarters, or
persons, especially any current or former Census Bureau employees.
D-2 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Table of Contents
1 BASIC CPS ITEMS ........................................................................................................................................ 5
1.1 MOVER ITEMS ........................................................................................................................................ 5
1.2 FAMILY INCOME ..................................................................................................................................... 5
1.3 INCDKR ................................................................................................................................................... 5
2 INTRODUCTION AND WORK EXPERIENCE ................................................................................................... 6
3 EARNED INCOME ...................................................................................................................................... 12
4 INCOME SOURCES ..................................................................................................................................... 25
4.1 UNEMPLOYMENT AND WORKERS COMPENSATION (SOURCE) .............................................................. 27
4.2 SOCIAL SECURITY (SOURCE) ................................................................................................................... 29
4.3 SOCIAL SECURITY FOR CHILDREN (SOURCE) ........................................................................................... 30
4.4 SUPPLEMENTAL SECURITY INCOME (SSI) (SOURCE) ............................................................................... 31
4.5 SUPPLEMENTAL SECURITY INCOME FOR CHILDREN (SSI) (SOURCE)....................................................... 32
4.6 DISABILITY INCOME (SOURCE) ............................................................................................................... 33
4.7 VETERANS PAYMENTS (SOURCE)............................................................................................................ 34
4.8 SURVIVOR BENEFITS (SOURCE) .............................................................................................................. 35
4.9 PUBLIC ASSISTANCE (SOURCE) ............................................................................................................... 36
4.10 FOOD STAMPS/SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM (SNAP) (SOURCE) .......................38
4.11 PENSIONS (SOURCE) ............................................................................................................................... 39
4.12 ANNUITIES (SOURCE) ............................................................................................................................. 40
4.13 RETIREMENT ACCOUNTS (SOURCE) ....................................................................................................... 40
4.14 INCOME-EARNING ACCOUNTS OUTSIDE OF RETIREMENT (SOURCE) ..................................................... 41
4.15 PROPERTY INCOME (SOURCE) ................................................................................................................ 45
4.16 EDUCATION ASSISTANCE (SOURCE) ....................................................................................................... 46
4.17 CHILD SUPPORT (SOURCE) ..................................................................................................................... 47
4.18 REGULAR FINANCIAL ASSISTANCE (SOURCE) ......................................................................................... 47
4.19 OTHER MONEY INCOME (SOURCE) ........................................................................................................ 47
5 INCOME AMOUNTS................................................................................................................................... 48
5.1 UNEMPLOYMENT AND WORKER’S COMPENSATION (AMOUNTS).......................................................... 48
5.2 SOCIAL SECURITY (AMOUNTS) ................................................................................................................ 55
5.3 SOCIAL SECURITY DISABILITY (AMOUNTS) .............................................................................................. 58
5.4 SOCIAL SECURITY FOR CHILDREN (AMOUNTS) ........................................................................................ 60
5.5 SUPPLEMENTAL SECURITY INCOME (SSI) (AMOUNTS) ............................................................................ 62
5.6 SUPPLEMENTAL SECURITY INCOME FOR CHILDREN (AMOUNTS) ........................................................... 64
5.7 DISABILITY INCOME (AMOUNTS) ............................................................................................................ 66
5.8 VETERANS PAYMENTS (AMOUNTS) ........................................................................................................ 69
5.9 SURVIVOR BENEFITS – AMOUNTS ........................................................................................................... 73
5.10 PUBLIC ASSISTANCE (AMOUNTS) ............................................................................................................ 78
5.11 FOOD STAMPS/SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM (SNAP) (AMOUNTS) ....................81
5.12 PENSIONS (AMOUNTS) ........................................................................................................................... 82
5.13 ANNUITIES (AMOUNTS) .......................................................................................................................... 86
5.14 WITHDRAWALS/DISTRIBUTIONS FROM RETIREMENT PLAN (AMOUNTS) .............................................. 87
5.15 INTEREST/DIVIDENDS ON RETIREMENT ACCOUNTS (AMOUNTS) ........................................................... 92
5.16 INTEREST/DIVIDENDS ON NON-RETIREMENT ACCOUNTS (AMOUNTS) .................................................. 94
5.17 PROPERTY INCOME (AMOUNTS)............................................................................................................. 96
5.18 EDUCATIONAL ASSISTANCE (AMOUNTS) ............................................................................................... 99
5.19 CHILD SUPPORT (AMOUNTS) ............................................................................................................... 101
5.20 REGULAR FINANCIAL ASSISTANCE (AMOUNTS) .................................................................................... 103
5.21 OTHER MONEY INCOME (AMOUNTS) ................................................................................................... 105
5.22 CONTRIBUTIONS TO RETIREMENT ACCOUNTS (AMOUNTS) ................................................................. 107
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-3
6 HEALTH INSURANCE ................................................................................................................................ 107
6.1 INTRODUCTION TO HEALTH INSURANCE SECTION ............................................................................ 107
6.2 CURRENT COVERAGE ......................................................................................................................... 108
6.3 TYPE OF COVERAGE............................................................................................................................ 109
6.4 MONTHS OF COVERAGE..................................................................................................................... 114
6.5 OTHER HOUSEHOLD MEMBERS ......................................................................................................... 117
6.6 ADDITIONAL PLANS ............................................................................................................................ 119
6.7 EMPLOYER-SPONSORED INSURANCE OFFERS AND TAKEUP .............................................................. 119
6.8 HEALTH STATUS ................................................................................................................................. 120
6.9 MEDICAL EXPENDITURES ................................................................................................................... 121
7 EMPLOYER’S PENSION PLAN ................................................................................................................... 122
8 LOW INCOME ITEMS ............................................................................................................................... 123
8.1 SCHOOL LUNCHES .............................................................................................................................. 123
8.2 PUBLIC HOUSING ............................................................................................................................... 123
8.3 WOMEN, INFANTS, AND CHILDREN NUTRITION PROGRAM (WIC)..................................................... 124
8.4 ENERGY ASSISTANCE .......................................................................................................................... 124
9 MIGRATION ............................................................................................................................................ 126
9.1 1-YEAR MIGRATION ........................................................................................................................... 126
10 SUPPLEMENTAL POVERTY MEASURE ....................................................................................................... 130
10.1 PROPERTY VALUE/PRESENCE OF MORTGAGE.................................................................................... 130
10.2 CHILD CARE ........................................................................................................................................ 131
10.3 CHILD SUPPORT PAID ......................................................................................................................... 133
10.4 STIMULUS PAYMENTS ........................................................................................................................ 135
D-4 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 BASIC CPS ITEMS
1.1 MOVER ITEMS
HH32b
Did (you/name of reference person) live at this address during the week of
November 19, 2020?
1 Yes
2 No
HH32d
Did any of the following household members live here during the week of
November 19, 2020?
1 Yes
2 No
1.2 FAMILY INCOME
S_FAMINC
Which category represents the total combined income of all members of this
FAMILY during the past 12 months?
This includes money from jobs, net income from business, farm or rent, pensions,
dividends, interest, social security payments and any other money income received
by members of this family who are 15 years of age or older?
1 Less than $5,000 9 30,000 to 34,999
2 5,000 to 7,499 10 35,000 to 39,999
3 7,500 to 9,999 11 40,000 to 49,999
4 10,000 to 12,499 12 50,000 to 59,999
5 12,500 to 14,999 13 60,000 to 74,999
6 15,000 to 19,999 14 75,000 to 99,999
7 20,000 to 24,999 15 100,000 to 149,000
8 25,000 to 29,999 16 150,000 to more
1.3 INCDKR
Is the combined income of all members of this FAMILY during the past 12 months
above or below $75,000?
1 Above
2 Below
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-5
2 INTRODUCTION and WORK EXPERIENCE
Pr_incom
?[F1] Importance of responding
Wording of introduction is optional.
The questions you just answered were about your job and economic status last week.
The next set of questions ask about your job and economic status last year.
1 Enter 1 to Continue
Q29a
Did (name/you) work at a job or business at any time during 2020?
1 Yes
2 No
Q29b
Did (you/he/she) do any temporary, part-time, or seasonal work even
for a few days during 2020?
Include any Military Reserves or National Guard work.
1 Yes
2 No
Q30
Even though (name/you) did not work in 2020, did (you/he/she) spend any time
trying to find a job or on layoff?
1 Yes
2 No
Q31
How many different weeks (was/were) (name/you) looking for work or on layoff
from a job?
(01-52) Number of weeks
________________
D-6 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q32
What was the main reason (you/he/she) did not work in 2020?
Read categories if necessary
1 Ill, or disabled and unable to work
2 Retired
3 Taking care of home or family
4 Going to school
5 Could not find work
6 Doing something else
Q33
During 2020 in how many weeks did (name/you) work even for a few hours?
Include paid vacation and sick leave as work.
(01-52) Number of weeks
Enter 97 if respondent can only answer in months
________________
Q33mon
Enter number of months worked
(1-12)
________________
Q33ver
Then (name/you) worked about (number) weeks. Is that correct?
1 Yes
2 No – back to Q33 and obtain estimate
Q35
Did (name/you) lose any full weeks of work in 2020 because (you/he/she)
(were/was) on layoff from a job or lost a job?
Number of weeks worked in 2020: (number)
1 Yes
2 No
7 Mistake made in number of weeks worked last year - Specify in Q35SP
Q35SP
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-7
Specify mistake made in number of weeks worked last year
_________________________________________________
Q36
You said (name/you) worked about (number) (week/weeks).
How many OF THE REMAINING (number) WEEKS (was/were)
(you/he/she) looking for work or on layoff from a job?
Enter 0 for none
________________
Q37
Were the (number) weeks (name/you) (was/were) looking for work or on layoff all in
one stretch?
1 Yes – one stretch
2 No – two stretches
3 No – 3 or more stretches
Q38
What was the main reason (name/you) (was/were) not working or looking for work
in the remaining weeks of 2020?
Read list only if respondent is having difficulty answering the question
1 Ill, or disabled and unable to work 4 Retired
2 Taking care of home or family 5 No work available
3 Going to school 6 Other (Specify - Q38sp)
Q38sp
Enter verbatim response
_________________________________________________
Q39
For how many employers did (name/you) work in 2020?
If more than one at the same time, only count it as one employer.
1 One
2 Two
3 Three or more
Q41
D-8 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
In the (one week/weeks) that (name/you) worked, how many hours did (you/he/she)
(work that week?/usually work per week?)
Enter number of hours
_______________
Q43
During 2020, were there one or more weeks in which (name/you) worked less than
35 hours?
Exclude time off with pay because of holidays, vacation, days off, or sickness.
1 Yes
2 No
Q44
In the weeks that (name/you) worked, how many weeks did (name/you) work less
than 35 hours in 2020?
Number of weeks worked in 2020: (number)
(Number of weeks was reported in item Q33)
(1-52)
________________
Q45
What was the main reason (name/you) worked less than 35 hours per week?
Read list only if respondent is having difficulty answering the question
1 Could not find a full time job
2 Wanted to work part time or only able to work part time
3 Slack work or material shortage
4 Other reason
Q46
What was (name's/your) longest job during 2020?
Was it:
(IO1NAM:) (name of employer)
(IO1IND:) (kind of business or industry)
(IO1OCC:) (occupation)
(IO1DT:) (duties)
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-9
CLASS OF WORKER: (PRIVATE/ FEDERAL GOVERNMENT/ STATE
GOVERNMENT/ LOCAL GOVERNMENT/WORKING WITHOUT PAY IN
FAMILY BUS./ SELF EMPLOYED--INCORPORATED/ SELF EMPLOYED--
UNINCORPORATED)
1 Same as listed
2 Different job
Q47a
For whom did (name/you) work (?/at) (blank/(your/his/her) (blank/longest job
during 2020?))
Name of Company, business, organization or other employer
(blank/ IO1NAM:) (entry)
The current employer is pre-filled in the Form Pane below. Press ENTER if Same)
(blank/ If longest job last year is military job, enter Armed Forces)
(blank/ Enter N for no work done at all during 2020)
_________________________________________________
Q47b
What kind of business or industry is this?
For example: TV and radio manufacturing, retail shoe store, farm
(blank/ IO1IND:) (entry)
The current business or industry type is pre-filled in the Form Pane below. Press ENTER
if Same)
(blank/ If longest job last year is military job, enter NA)
_________________________________________________
Q47b1
Is this business or organization mainly manufacturing, retail trade, wholesale trade,
or something else?
(blank/ IO1MFG:) (entry)
The current business or organization type is pre-filled in the Form Pane below. Press
ENTER if Same)
(blank/ If longest job last year is military job, enter 4)
1 Manufacturing
2 Retail trade
3 Wholesale trade
D-10 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
4 Something else
Q47c
What kind of work (was/were) (you/he/she) doing?
For example: Electrical Engineer, Stock Clerk, Typist
(blank/ IO1OCC:) (entry)
The current occupation is pre-filled in the Form Pane below. Press ENTER if Same)
(blank/ If longest job last year is military job, enter Armed Forces)
_________________________________________________
Q47d1
What were (your/his/her) most important activities or duties?
For example: Types, keeps account books, files, sells cars, operates printing press,
finishes concrete.
(blank/ IO1DT:) (entry)
The current job description is pre-filled in the Form Pane below. Press ENTER if Same)
(blank/ If longest job last year is military job, enter NA)
_________________________________________________
Q47d2
What were (your/his/her) most important activities or duties?
For example: Types, keeps account books, files, sells cars, operates printing press,
finishes concrete.
(blank/ IO1DT:) (entry)
The current job description is pre-filled in the Form Pane below. Press ENTER if Same)
(blank/ If longest job last year is military job, enter NA)
_________________________________________________
Q47E1
Ask Only If Necessary
(Were/Was) (you/he/she) employed by government, by a PRIVATE company, a
nonprofit organization, or (was/were) (you/he/she) self-employed or working in a
family business?
1 Government
2 Private for profit company
3 Non profit organization including tax exempt and charitable organizations
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-11
4 Self employed
5 Working in family business
Q47E1a
Would that be the federal, state, or local government?
1 Federal
2 State
3 Local (county, city, township)
Q47E1b
Was this business incorporated?
1 Yes
2 No
Q47E1c
(Were/Was) (you/name) the owner of the business?
1 Yes
2 No
Q4788
Counting all locations where (this employer/(name/you)) (operates/operate), what is
the total number of persons who work for ((name's/your) employer)/name/you))?
Read categories if necessary
1 under 10
2 10-49
3 50-99
4 100-499
5 500-999
6 1,000+
3 EARNED INCOME
The Earnings and Income question series include range follow-up questions presented
anytime a respondent doesn’t know or refuses to provide an exact dollar amount for a
source they (or someone in the household) indicates as having received. Follow-up
questions allow respondents that do not feel comfortable giving exact dollar values to
report an income range. There are three sets of categories used for the income range
follow-up questions: high-range, mid-range, and low-range. The income range used in
the follow-up range questions depends on the source of the income. See Attachment A to
D-12 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
this items booklet for the three levels of income range follow up questions. See
Attachment B for a table that displays the income source and the range level used for the
follow-up questions.
Q48aa
How much did (name/you) earn from this employer before taxes and other
deductions during 2020?
Enter dollar amount
Enter 0 for none
________________
Q48aarn1 Ask only if the respondent “Doesn’t know” or ‘Refused” Q48aa
Could you tell me if (name/you) earned
less than $45,000
between $45,000 and $60,000
or over $60,000
for the TOTAL yearly amount from this employer before taxes and other
deductions during 2020?
1 Less than $45,000
2 Between $45,000 and $60,000
3 Over $60,000
Q48aarn2
Did (name/you) earn
less than $15,000
between $15,000 and $30,000
or over $30,000
from this employer during 2020?
1 Less than $15,000
2 Between $15,000 and $30,000
3 Over $30,000
Q48aap
Read if necessary
Is this a weekly, every other week, twice a month, monthly, or yearly amount?
1 Weekly
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-13
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q48a1
For how many (weekly/every other week/twice a month/monthly) pay periods did
(name/you) earn (fill from Q48aa) from this employer in 2020?
(1-12/1-24/1-26/1-52)
________________
Q48aC2
Do not read to the respondent.
The annual rate appears out of range. The total annual earnings entered is (amount). Is
this a correct entry? If Yes, enter "S" to Suppress. If No, press enter and correct entry.
Q48aV
According to my calculations (name/you) earned (total) altogether from this
employer in 2020 before deductions. Does that sound about right?
1 Yes
2 No
Q48a2
What is your best estimate of (name's/your) correct total amount of earnings from
this employer during 2020 before deductions?
PREVIOUS ENTRIES: Q48aa: (amount)
Q48aap: (periodicity)
Q48a1: (number of pay periods)
Enter dollar amount
________________
Q48a3
Does this amount include all tips, bonuses, overtime pay, or commissions
(name/you) may have received from this employer in 2020?
1 Yes
2 No
Q48aad
How much did (name/you) earn in tips, bonuses, overtime pay, or commissions from
D-14 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
this employer in 2020?
Enter dollar amount
________________
Q48aadrn1 Ask only if the respondent “Doesn’t know” or “Refused” Q48aad
Could you tell me if (name/you) earned
less than $1,000
between $1,000 and $3,000
or over $3,000
in tips, bonuses, overtime pay, or commissions from this employer during 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3,000
Q48aadrn2
Did (name/you) earn
less than $100
between $100 and $500
or over $500
in tips, bonuses, overtime pay, or commissions from this employer during 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
Q48b
What were (name's/your) net earnings from this business/farm after expenses
during 2020?
If response is "Broke Even" then enter 1
If response is “none” or if respondent does not own a business or farm, then enter "0"
If response is "Lost Money" press Enter
Enter dollar amount
________________
Q48b_char
Enter “L” for Lost Money
________________
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-15
Q48BL
Enter amount of money lost in 2020
Enter annual amount only
________________
Q48brn1 Ask only if the respondent “Doesn’t know” or “Refused” Q48b.
Could you please tell me if (name/you) earned
less than $45,000
between $45,000 and $60,000
or over $60,000
for the TOTAL yearly amount from this business/farm after expenses during 2020?
1 Less than $45,000
2 Between $45,000 and $60,000
3 Over $60,000
Q48brn2
Did (name/you) earn
less than $15,000
between $15,000 and $30,000
or over $30,000
from this business/farm after expenses during 2020?
1 Less than $15,000
2 Between $15,000 and $30,000
3 Over $30,000
Q48bp
Is this a weekly, every other week, twice a month, monthly, quarterly, or yearly
amount?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
5 Quarterly
7 Yearly
Q48B1A
D-16 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Do not read to the respondent.
The annual rate appears out of range. The total annual business loss entered is (amount).
Is this a correct entry? If Yes, enter "S" to Suppress. If No, press enter and correct entry.
Q48B1B
Do not read to the respondent.
The annual rate appears out of range. The total annual business income entered is
(amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press enter and
correct entry.
Q48b2
What is your best estimate of (name's/your) ANNUAL net earnings from this
business/farm after expenses in 2020?
PREVIOUS ENTRIES: Q48b : (amount)
Q48bp: (periodicity)
Enter dollar amount
Q48b2L
What is your best estimate of (name's/your) ANNUAL net LOSS from this
business/farm after expenses in 2020?
PREVIOUS ENTRIES: Q48bL: (amount)
Q48bp: (periodicity)
Enter dollar amount
________________
Q48b3
What were (name's/your) net earnings from this business/farm during the FIRST
quarter of 2020?
If response is "Broke Even" then enter 1
Enter "0" for None
If response is “Lost Money” press enter
Enter dollar amount
________________
Q48b3_char
Enter "L" for Lost Money
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-17
________________
Q48B3L
Enter amount of money lost in the first quarter of 2020.
________________
Q48b4
What were (name's/your) net earnings from this business/farm during the SECOND
quarter of 2020?
If response is "Broke Even" then enter 1
Enter "0" for None
If response is "Lost Money" press enter
Enter dollar amount
________________
Q48b4_char
Enter "L" for Lost Money
________________
Q48B4L
Enter amount of money lost in the second quarter of 2020.
________________
Q48b5
What were (name's/your) net earnings from this business/farm during the THIRD
quarter of 2020?
If response is "Broke Even" then enter 1
Enter "0" for None
If response is "Lost Money" press enter
Enter dollar amount
________________
Q48b5_char
Enter "L" for Lost Money
________________
Q48B5L
Enter amount of money lost in the third quarter of 2020.
________________
D-18 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q48b6
What were (name's/your) net earnings from this business/farm during the FOURTH
quarter of 2020?
If response is "Broke Even" then enter 1
Enter "0" for None
If response is "Lost Money" press enter
Enter dollar amount
________________
Q48b6_char
Enter "L" for Lost Money
________________
Q48B6L
Enter amount of money lost in the fourth quarter of 2020.
________________
Q48b7
Does this amount include all tips, bonuses, overtime pay, or commissions
(name/you) may have received from this business in 2020?
1 Yes
2 No
Q48bad
How much did (name/you) earn in tips, bonuses, overtime pay, or commissions
in 2020?
Enter dollar amount
________________
Q48badrn1 Ask only if the respondent “Doesn’t know” or “Refused” Q48bad.
Could you tell me if (name/you) earned
less than $1,000
between $1,000 and $3,000
or over $3,000
in tips, bonuses, overtime pay, or commissions from this business during 2020?
1 Less than $1,000
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-19
2 Between $1,000 and $3,000
3 Over $3,000
Q48badrn2
Did (name/you) earn
less than $100
between $100 and $500
or over $500
in tips, bonuses, overtime pay, or commissions during 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
Q49a
Did (name/you) earn money from any other work (you/he/she) did during 2020?
1 Yes
2 No
Q49b1d
How much did (name/you) earn from all other employers before taxes and other
deductions during 2020?
Enter dollar amount
Enter “0” for None
________________
Q49b1drn1 Ask only if the respondent “Doesn’t know” or “Refused” Q48b1d.
Could you please tell me if (name/you) earned
less than $10,000
between $10,000 and $20,000
or over $20,000
from all other employers before taxes and other deductions during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q49b1drn2
D-20 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Did (name/you) earn
less than $1,000
between $1,000 and $5,000
or over $5,000
from all other employers before taxes and other deductions during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q49b1p
Read if necessary
Is this a weekly, every other week, twice a month, monthly, or yearly amount?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q49B11
For how many (weekly/every other week/twice a month/monthly) pay periods did
(name/you) earn (fill from Q49b1d) from all other employers in 2020?
(1-12/1-24/1-26/1-52)
________________
Q49B1C
Do not read to the respondent.
The total annual earnings entered from all other employers is (amount). Is this a correct
entry? If Yes, enter "S" to Suppress. If No, press enter and correct entry.
Q49B1V
According to my calculations (name/you) earned (total) altogether from all other
employers in 2020. Does that sound about right?
1 Yes
2 No
Q49B12
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-21
What is your best estimate of (name's/your) correct total amount of earnings from
all other employers during 2020?
PREVIOUS ENTRIES: Q49b1d: (amount)
Q49b1p: (periodicity)
Q49b11: (number of pay periods)
Enter dollar amount
________________
Q49b13
Does this amount include all tips, bonuses, overtime pay, or commissions
(name/you) may have received from all other employers in 2020?
1 Yes
2 No
Q49B1A
How much did (name/you) earn in tips, bonuses, overtime pay, or commissions from
all other employers in 2020?
Enter dollar amount
________________
Q49B1ARN1 Ask only if the respondent “Doesn’t know” or “Refused” Q49B1A.
Could you tell me if (name/you) earned
less than $1,000
between $1,000 and $3,000
or over $3,000
in tips, bonuses, overtime pay, or commissions from all other employers in 2020?
1 Less than $1,000 (proceed to Q49B1ARN2)
2 Between $1,000 and $3,000
3 Over $3,000
Q49B1ARN2
Did (name/you) earn
less than $100
between $100 and $500
D-22 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
or over $500
in tips, bonuses, overtime pay, or commissions from all other employers in 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
Q49b2
How much did (name/you) earn from (blank/any other businesses of) (your/his/her)
(own/own business) after expenses?
If response is "Broke Even" then enter 1
Enter "0" for None
If response is "Lost Money" press enter
Enter annual amount only
________________
Q49b2rn1 Ask only if the respondent “Doesn’t know” or “Refused” Q49b2
Could you tell me if (name/you) earned
less than $10,000
between $10,000 and $20,000
or over $20,000
from (blank/any other businesses of) (your/his/her) (own/own business) after
expenses?
1 Less than $10,000 (proceed to Q49b2rn2)
2 Between $10,000 and $20,000
3 Over $20,000
Q49b2rn2
Could you tell me if (name/you) earned
less than $1,000
between $1,000 and $5,000
or over $5,000
from (blank/any other businesses of) (your/his/her) (own/own business) after
expenses?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-23
Q49b2_char
Enter "L" for Lost Money
________________
Q49b3
Enter annual amount lost only
____________
Q49b4
How much did (name/you) earn from (your/his/her) farm after expenses?
If response is "Broke Even" then enter 1
Enter "0" for None
If response is "Lost money" press enter
Enter annual amount only
_______________
Q49b4rn1 Ask only if the respondent “Doesn’t know” or “Refused” Q49b4.
Could you tell me if (name/you) earned
less than $10,000
between $10,000 and $20,000
or over $20,000
from (your/his/her) farm after expenses?
1 Less than $10,000 (proceed to Q49b4rn2)
2 Between $10,000 and $20,000
3 Over $20,000
Q49b4rn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
from (your/his/her) farm after expenses?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
D-24 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q49b4_char
Enter "L" for Lost Money
________________
Q49b5
Enter annual amount lost only
________________
4 INCOME SOURCES
In the ASEC income section, the order of the questions changes based on the household
composition (Low-income, Householder or Spouse Aged 62 or Older, or Default); see chart on
the following page. All low-income transfer program questions are asked in each interview
regardless of household family income.
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-25
Householder or Spouse
Default Low Income
62 Years +
Earnings- Person Level Earnings- Person Level Earnings- Person Level
Unemployment/Workers Unemployment/Workers Unemployment/Workers
1 Compensation 1 Compensation 1 Compensation
Social Security/SS for Social Security/SS for
2 Children 7 Public Assistance / TANF 2 Children
Supplemental Security Supplemental Security
3 Income (SSI)/SSI Children 8 Food Stamps (SNAP) 3 Income (SSI)/SSI Children
Social Security/SS for
4 Disability 2 Children 4 Disability
Supplemental Security
5 Veterans 3 Income (SSI)/SSI Children 5 Veterans
6 Survivor Benefits 4 Disability 6 Survivor Benefits
7 Public Assistance / TANF 5 Veterans 9 Pensions
8 Food Stamps (SNAP) 6 Survivor Benefits 10 Annuities
Retirement Accounts
(within) –Withdrawals or
9 Pensions 9 Pensions 11 distributions
Other Income Earning Assets
10 Annuities 10 Annuities 12 (outside of retirement)
Retirement Accounts (within) Retirement Accounts (within)
– Withdrawals or – Withdrawals or
11 distributions 11 distributions 13 Property Income
Other Income Earning Assets Other Income Earning Assets
12 (outside of retirement) 12 (outside of retirement) 7 Public Assistance / TANF
13 Property Income 13 Property Income 8 Food Stamps (SNAP)
14 Education Assistance 14 Education Assistance 14 Education Assistance
15 Child Support 15 Child Support 15 Child Support
Financial Assistance from Financial Assistance from Financial Assistance from
16 friends or relatives 16 friends or relatives 16 friends or relatives
17 Other Income 17 Other Income 17 Other Income
* Health Insurance
18 Employers Pension Plan
19 School Lunches- no amount collection
20 Public Housing- no amount collection
21 WIC- no amount collection
22 Energy Assistance
D-26 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
4.1 UNEMPLOYMENT AND WORKERS COMPENSATION (Source)
Q51A1
At any time during 2020 did (you/anyone in the household) receive any State or
Federal unemployment compensation?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
1 Yes
2 No
Q51A1b
Read only if necessary
Who received State or Federal unemployment compensation?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q51A2
At any time during 2020 did (you/anyone in the household) receive any
Supplemental Unemployment Benefits (SUB)?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
1 Yes
2 No
Q51A2b
Read only if necessary
Who received Supplemental Unemployment Benefits?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q51A3
At any time during 2020 did (you/anyone in the household) receive any Union
Unemployment or Strike Benefits?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
1 Yes
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-27
2 No
Q51A3b
Read only if necessary
Who received Union Unemployment or Strike Benefits?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q52A
During 2020 did (you/anyone in the household) receive any Worker’s Compensation
payments or other payments as a result of a job related injury or illness?
Exclude sick pay and/or disability retirement.
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
1 Yes
2 No
Q52Ab
Read only if necessary
Who received Worker’s Compensation or payments as a result of a job related
injury or illness?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Exclude those who received sick pay and/or disability retirement.
Q52b
What was the source of (your/name’s) payments?
1 State Worker's Compensation
2 Employer or employer's insurance worker’s compensation
3 Own insurance worker’s compensation
4 Other
Q52Cs1
Specify other source from workers compensation/insurance
Enter "Worker’s Compensation" if the answer is "Don't Know"
________________________________________________
D-28 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
4.2 SOCIAL SECURITY (Source)
Q56a
During 2020 did (you/ anyone in this household) receive any Social Security
payments from the U.S. Government?
1 Yes
2 No
Q56b
Read only if necessary
Who received Social Security payments either for themselves or as combined
payments with other family members?
Enter Line Number Of Parent Or Guardian For Payments Made To Children Under
Age 15
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone else?
SSR
What were the reasons (name/you) (was/were) getting Social Security in 2020?
Mark all that apply, separate using the space bar or a comma.
Probe: Any Other Reason?
1 Retired
2 Disabled
3 Widowed
4 Spouse
5 Surviving child
6 Dependent child
7 On behalf of surviving, dependent, or disabled children
8 Other
SSRs
Specify other reason
________________________________________________
SSC
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-29
Which children under age 19 were receiving Social Security in 2020?
Probe: Anyone Else?
Enter all that apply, separate by commas.
Enter 96 for All People Enter 0 for None
SSCR
What were the reasons (Child’s name/the children) (was/were) getting Social
Security in 2020?
Enter all that apply, separate using the space bar or a comma.
Probe: Any Other Reason?
1 Disabled child/children
2 Surviving child/children
3 Dependent child/children
4 Other
SSDIa1
Did (name/you) receive (your/his/her) first Social Security Disability payment in
2020?
1 Yes
2 No
4.3 SOCIAL SECURITY FOR CHILDREN (Source)
Q56f
Did anyone in this household receive any Social Security income in 2020 that we
have not already counted on behalf of children in this household?
Includes all children under 19 years of age
1 Yes
2 No
Q56g
Read only if necessary
Who received these Social Security payments?
Enter line number of parent or guardian
D-30 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
CSS
Which children under age 19 were receiving Social Security in 2020?
Probe: Anyone Else?
Enter all that apply, separate using the space bar or a comma.
Enter 0 if none listed
Enter 96 for all persons
CRSS
What were the reasons (Child's name/the children) (was/were) getting Social
Security in 2020?
Enter all that apply, separate using the space bar or a comma.
Probe: Any Other Reason?
1 Disabled child/children
2 Surviving child/children
3 Dependent child/children
4 Other
4.4 SUPPLEMENTAL SECURITY INCOME (SSI) (Source)
Q57a
During 2020 did (you/ anyone in this household) receive:
any SSI payments, that is, Supplemental Security Income?
Note: SSI are assistance payments to low-income aged, blind and disabled persons,
and come from state or local welfare offices, the Federal government, or both.
1 Yes
2 No
Q57b
Read only if necessary
Who received SSI?
Supplemental Security Income
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-31
SSIR
What were the reasons (name/you) (was/were) getting Supplemental Security
Income in 2020?
Enter all that apply, separate using the space bar or a comma.
Probe: Any Other Reason?
1 Disabled
2 Blind
3 On behalf of a disabled child
4 On behalf of a blind child
5 Other ________________
4.5 SUPPLEMENTAL SECURITY INCOME FOR CHILDREN (SSI)
(Source)
Q57d
Did anyone in this household receive any Supplemental Security Income in 2020
that we have not already counted on behalf of children in this household?
Includes all children under 18 years of age
SSI previously reported will appear here
LN Name Amount for Q57C amount
1 Yes
2 No
Q57e
Read only if necessary
Who received these Supplemental Security Income payments?
Enter line number of parent or guardian
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
RSSI
What were the reasons (name/you) (was/were) getting Supplemental Security
Income on behalf of children in 2020?
Enter all that apply, separate using the space bar or a comma.
Probe: Any Other Reason?
D-32 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 On behalf of a disabled child/children
2 On behalf of a blind child/children
3 Other ________________
CSSI
Which children under age 18 were receiving Supplemental Security Income
in 2020?
Probe: Anyone Else?
Enter all that apply, separate using the space bar or a comma.
Enter 0 if none listed
Enter 96 for all persons
4.6 DISABILITY INCOME (Source)
Q59AR
At any time in 2020 (did you/did anyone in the household) have a disability or health
problem which prevented (you/them) from working, even for a short time, or which
limited the work (you/they) could do?
1 Yes
2 No
Q59b
Read only if necessary
Who is that?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q60a
(Did you/Is there anyone in this household who) ever (retire or leave/ retired or left)
a job for health reasons?
1 Yes
2 No
Q60b
Read only if necessary
Who is that?
Enter all that apply, separate using the space bar or a comma.
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-33
Probe: Anyone Else?
Q61b
Did (you/name) receive any income in 2020 as a result of (your/his/her) health
problem (other than Social Security Disability/other than VA benefits/ other than
Social Security Disability or VA Benefits)?
( If amount was reported previously as compensation from a job related injury or
illness, then enter <2>. Amount previously reported in Q52CT was (amount).)
Do not include Veterans’ payments.
1 Yes
2 No
Q61C
What was the source of this income?
Asking About: (name) (blank/- -CURRENT RESPONDENT)
Enter all that apply, separate using the space bar or a comma.
Probe: Any other income related to this health condition or disability?
2 Worker’s compensation
3 Company or union disability
4 Federal Government (CIVIL SERVICE) disability
5 U.S. Military retirement disability
6 State or Local government employee disability
7 U.S. Railroad retirement disability
8 Accident or disability insurance
9 Black Lung miner’s disability
10 State temporary sickness
11 Other or don’t know – Specify – Enter last
Q61Cs1
Specify other source from health problem or disability
Enter "Other Health Problem/Disability" if the answer is "Don't Know"
_____________________________________________
4.7 VETERANS PAYMENTS (Source)
Q60A88
At any time during 2020 did (you/anyone in this household) receive:
Any Veterans’ (VA) payments?
Include assistance received by children of veterans
D-34 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 Yes
2 No
Q60b_88
Read only if necessary
Who received Veterans’ (VA) payments either for themselves or as combined
payments with other family members?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q60C8
What type of Veterans' payment did (name/you) receive?
Read list only if respondent is having difficulty answering the question.
Enter all that apply, separate using the space bar or a comma.
Probe: Any Other Payments?
1 Service-connected disability compensation
2 Survivor Benefits
3 Veterans’ Pension
4 Educational assistance (including assistance received by children of veterans)
5 Other Veterans’ payments ________________
Q60D88
(Are/Is) (name/you) required to fill out an annual income questionnaire for the
Department of Veterans' Affairs?
1 Yes
2 No
4.8 SURVIVOR BENEFITS (Source)
Q58a
Did (you/ anyone in this household) receive any survivor benefits in 2020 such as
widow’s pensions, estates, trusts, insurance annuities, or any other survivor benefits
(other than Social Security/ other than VA benefits/ other than Social Security or
VA benefits)?
1 Yes
2 No
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-35
Q58b
Read only if necessary
Who received this income?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q58C
What was the source of this income?
Asking About: (name/name- -CURRENT RESPONDENT)
Read list if respondent is having difficulty answering the question
Enter all that apply, separate using the space bar or a comma.
Probe: Any Other Source?
2 Company or union survivor pension (INCLUDE PROFIT SHARING)
3 Federal Government survivor (CIVIL SERVICE) pension
4 U.S. Military retirement survivor pension
5 State or Local government survivor pension
6 U.S. Railroad retirement survivor pension
7 Worker's compensation survivor pension
8 Black Lung survivor pension
9 Regular payments from estates or trusts
10 Regular payments from annuities or paid-up insurance policies
11 Other or don't know (SPECIFY) - ENTER LAST
Q58Cs1
Specify other source of income as survivor or widow
Enter "Survivor Benefits" if the answer is "Don't Know"
________________________________________________
4.9 PUBLIC ASSISTANCE (Source)
Q59A88
At any time during 2020, even for one month, did (you/ anyone in this household)
receive any CASH assistance from a state or county welfare program such as
(State Program Name)?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
Include cash from: Don’t include:
Welfare or welfare to work Food stamps (SNAP)
TANF SSI
D-36 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
AFDC/Aid to Families Energy assistance
General Assistance WIC
Diversion payments School meals
Refugee Cash Childcare
Gen Assist Indian Affairs Education Assistance
1 Yes
2 No
Q59A89
Just to be sure, in 2020, did anyone receive CASH assistance from a state or county
welfare program, on behalf of CHILDREN in the household?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
1 Yes
2 No
Q59b_88
Who received this CASH assistance?
Enter line number
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q59C8r
From what type of program did (name/you) receive the CASH assistance? Was it a
welfare or welfare to-work program such as (STATE PROGRAM NAME), General
Assistance, Emergency Assistance, Diversion payments or some other program?
Enter all that apply, separate using the space bar or a comma.
Probe: Any Other Program?
If respondent mentions any of the following categories:
Food Stamps
SSI
Energy Assistance
School Meals
Transportation
Child Care
Rental
Educational Assistance
Note this, but explain: “Right now we are interested in CASH assistance”. Seek
answers using the accepted categories
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-37
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
1 (State Program Name)/Temporary Assistance to Needy Families (TANF)/
welfare/AFDC
2 General Assistance
3 Emergency Assistance/short-term cash assistance
4 Diversion Payments
5 Refugee Cash and Medical Assistance program
6 General Assistance from Bureau of Indian Affairs, or Tribal Administered General
Assistance
7 Some other program (specify)
Q59C8s
What was the name of the other program?
Specify other source of cash assistance
Enter "Cash" if the answer is "Don't Know"
_________________________________________________
4.10 FOOD STAMPS/SUPPLEMENTAL NUTRITION ASSISTANCE
PROGRAM (SNAP) (Source)
Q87r
At any time during 2020, did (you/ anyone in this household) receive benefits from
SNAP (the Supplemental Nutritional Assistance Program) or the Food Stamp
program, or use a SNAP or food stamp benefit card?
Do not include WIC benefits.
1 Yes
2 No
Q87ar
At any time during 2020, even for one month, did (you/ anyone in this household)
receive any food assistance from (State Program name)?
Do not include WIC benefits.
Include SNAP (Supplemental Nutrition Assistance Program)
1 Yes
2 No
Q88
Which of the people now living here were covered by that food assistance
D-38 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
during 2020?
List all household members covered by food assistance regardless of age
Enter all that apply, separate using the space bar or a comma.
Enter 96 for All
Enter 0 for None
Probe: Anyone else?
4.11 PENSIONS (Source)
Q62Ar
During 2020 did (you/ anyone in this household) receive any pension income from a
previous employer or union, (other than Social Security/ other VA benefits/ other
than Social Security or VA benefits)?
PLEASE DO NOT INCLUDE DISTRIBUTIONS OR WITHDRAWALS FROM
IRAs, 401(k)s, OR SIMILAR ACCOUNTS!
1 Yes
2 No
Q62b
Read only if necessary
Who received pension income?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Enter persons line number (1-16)
Q62Cr
What was the source of (your/ NAME’s) pension income? Did (you/he/she) have a
pension from a:
READ EACH CATEGORY.
Enter all that apply, separate using the space bar or a comma.
1 Company
2 Union
3 Federal Government
4 State Government
5 Local Government
6 U.S. Military
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-39
7 Some other source
Q62DR
What was the source of (name's/your) other pension income?
Enter all that apply
Probe as needed: Who received this source?
Probe: Any Other pension income?
1 U.S. Railroad Retirement pension
2 Other source (specify) or “don’t know”
Q62Cs1
Specify other source of pension income
Enter "Other Pension" if the answer is "Don't Know"
4.12 ANNUITIES (Source)
Q96Ar
During 2020 did (you/ anyone in this household) receive any income from an
annuity?
1 Yes
2 No
Q96Br
Read only if necessary
Who received annuity income?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
4.13 RETIREMENT ACCOUNTS (Source)
Q97Ar
At any time during 2020 did (you/ anyone in this household) have any retirement
accounts such as a 401(k), 403(b), IRA, or other account designed specifically for
retirement savings?
1 Yes
2 No
D-40 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q97Br
Read only if necessary
Who had such a retirement account?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q97Cr
What type of retirement account did (you/ NAME) have? Did (you/he/she) have…
READ EACH CATEGORY
Enter all that apply, separate using the space bar or a comma.
1. 401(k) 5. KEOGH plan (“KEE-OH”)
2. 403(b) 6. SEP plan (Simplified Employee Pension)
3. Roth IRA 7. another type of retirement account
4. Regular IRA
Q97Dr
What was the source of (name's/your) retirement income?
Enter other source of retirement income
Enter “Other Retirement” if the answer is “Don’t Know”
Q98Ar(1-7)
Did (you/NAME) withdraw any money or receive a distribution from (your/his/her)
[ACCOUNT TYPE_ FILL IN FROM Q97CR or Q97DR] in 2020 (, including any
distributions (you/he/she) may have been required to take)?
1 Yes
2 No
4.14 INCOME-EARNING ACCOUNTS OUTSIDE OF RETIREMENT
(Source)
Q99ARa
Now I will ask about assets that may have paid interest or dividends in 2020 outside
of the retirement accounts.
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-41
At any time during 2020, did (you/anyone in this household):
Have money in an interest-earning checking account?
1 Yes
2 No
Q99Ba
Ask only if necessary
Which members of this household ages 15 and over had an interest-earning checking
account?
Include each person in cases of joint accounts or ownership
Enter all that apply, separate using the space bar or a comma
Probe: Anyone else?
Q99ARb
At any time during 2020, did (you/anyone in this household):
Have money in a savings account?
1 Yes
2 No
Q99Bb
Ask only if necessary
Which members of this household ages 15 and over had savings accounts?
Include each person in cases of joint accounts or ownership
Enter all that apply, separate using the space bar or a comma
Probe: Anyone else?
Q99ARc
At any time during 2020, did (you/anyone in this household):
Have money in a money market fund?
1 Yes
2 No
D-42 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q99Bc
Ask only if necessary
Which members of this household ages 15 and over had a money market fund?
Include each person in cases of joint accounts or ownership
Enter all that apply, separate using the space bar or a comma
Probe: Anyone else?
Q99ARd
At any time during 2020, did (you/anyone in this household):
Have money in CDs (certificates of deposit)?
1 Yes
2 No
Q99Bd
Ask only if necessary
Which members of this household ages 15 and over had CDs (certificates of deposit)?
Include each person in cases of joint accounts or ownership
Enter all that apply, separate using the space bar or a comma
Probe: Anyone else?
Q99ARe
At any time during 2020, did (you/anyone in this household):
Have money in savings bonds?
1 Yes
2 No
Q99Be
Ask only if necessary
Which members of this household ages 15 and over had savings bonds?
Include each person in cases of joint accounts or ownership
Enter all that apply, separate using the space bar or a comma
Probe: Anyone else?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-43
Q99ARf
At any time during 2020, did (you/anyone in this household):
Have money in shares of stock in corporations or mutual funds?
1 Yes
2 No
Q99Bf
Ask only if necessary
Which members of this household ages 15 and over had shares of stock in corporations or
mutual funds?
Include each person in cases of joint accounts or ownership
Enter all that apply, separate using the space bar or a comma
Probe: Anyone else?
Q99ARg
At any time during 2020, did (you/anyone in this household):
Have money in any other savings or investments that pay interest or dividends?
1 Yes
2 No
Q99Bg
Ask only if necessary
Which members of this household ages 15 and over had any other savings or investments
that paid interest or dividends?
Include each person in cases of joint accounts or ownership
Enter all that apply, separate using the space bar or a comma
Probe: Anyone else?
CAPGDIS
Did (you/NAME) receive any capital gains from (your/his/her) shares of stocks or
mutual funds in 2020?
1 Yes
2 No
D-44 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q99BR
What was the source of (name's/your) savings or investments that pay interest or
dividends?
Enter other source of interest or dividend income
4.15 PROPERTY INCOME (Source)
Q65A1
During 2020 did (you/ anyone in this household):
Own any land, business property, apartments, or houses which were rented to
others?
1 Yes
2 No
Q65A2
At any time during 2020 did (you/ anyone in this household):
Receive income from royalties or from roomers or boarders?
(exclude amounts paid by relatives)
1 Yes
2 No
Q65A3
At any time during 2020 did (you/ anyone in this household):
Receive income from estates or trusts?
(exclude estates or trusts already reported)
1 Yes
2 No
Q65b
Ask only if necessary
Who received this (income/rent) ?
(Amount previously reported in Q48b was (amount))
Include each in cases of joint ownership. For self-employed persons, determine if
income was already included
Enter all that apply, separate using the space bar or a comma.
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-45
Probe: Anyone Else?
4.16 EDUCATION ASSISTANCE (Source)
Q66a
During 2020 did (you/anyone in this household) attend school beyond the high school
level including a college, university, or other schools?
(include vocational, business, or trade schools)
1 Yes
2 No
Q66b
Did (you/ anyone in this household) receive any educational assistance for tuition,
fees, books, or living expenses during 2020?
Exclude loans, assistance from household members, and VA educational
benefits
1 Yes
2 No
Q66c
Ask only if necessary
Which member received assistance?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q66d
What type of assistance did (name/you) receive?
Exclude assistance from household members
Enter all that apply, separate using the space bar or a comma.
Probe: Any other assistance?
2 Pell Grant
3 Assistance from a welfare or social service office
4 Some other government assistance
5 Scholarships, grants, etc.
6 Other assistance (employers, friends, etc.)
D-46 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
4.17 CHILD SUPPORT (Source)
Q70a
During 2020 did (you/anyone in this household) receive:
Any child support payments?
1 Yes
2 No
Q70b
Read only if necessary
Who received these payments?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
4.18 REGULAR FINANCIAL ASSISTANCE (Source)
Q72a
(Any other/Any) regular financial assistance from friends or relatives not living in this
household?
Do not include loans
1 Yes
2 No
Q72b
Read only if necessary
Who received this assistance?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
4.19 OTHER MONEY INCOME (Source)
Q73A1R
During 2020 did (you/ anyone in this household) receive cash income not already
covered such as income from:
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-47
foster child care, alimony, jury duty, armed forces reserves, severance pay, hobbies,
or any other source?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
1 Yes
2 No
Q73A1b
Ask only if necessary
Who received this income?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone Else?
Q73A1Rc1
What was the source of this income?
Asking about: (name/you – Current respondent)
Do not read answer list to respondent
1 Alaska Permanent Fund Dividend
2 Other sources or don’t know – Specify
Q73A1Rc
Specify other source of income
Asking about: (name/you – Current respondent)
5 INCOME AMOUNTS
AMTINTRO
Now I will ask you about the amount of income you (and others in this household)
received from various sources in 2020.
5.1 UNEMPLOYMENT AND WORKER’S COMPENSATION (Amounts)
Q51A1p
What is the easiest way for you to tell us (name's/your) State or Federal
unemployment compensation; weekly, every other week, twice a month, monthly, or
yearly?
D-48 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 Weekly
2 Every other week (bi-weekly)
3 Twice a month
4 Monthly
7 Yearly
Q51A11
How much did (name/you) receive (weekly/every other week/ twice a
month/monthly) in State or Federal unemployment compensation during 2020?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
Enter dollar amount
________________
Q51A11r1
Could you please tell me if (name/you) received:
less than $10,000
between $10,000 and $20,000
or over $20,000
in State or Federal unemployment compensation during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q51A11r2
Did (name/you) receive:
less than $1,000
between $1,000 and $5,000
or over $5,000
in State or Federal unemployment compensation during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q51A1C
Do not read to the respondent.
The annual rate appears out of range. The total State or Federal unemployment
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-49
compensation received in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to
Suppress. If No, press enter and correct entry.
Q51A12
How many (weekly/every other week/ twice a month/monthly) payments did
(name/you) receive from State or Federal unemployment compensation during
2020?
(1-12/1-24/1-26/1-52)
________________
Q51A13
According to my calculations (name/you) received (total) altogether from State or
Federal unemployment compensation during 2020. Does that sound about right?
1 Yes
2 No
Q51A14
What is your best estimate of the correct total amount (name/you) received from
State or Federal unemployment compensation during 2020?
PREVIOUS ENTRIES: Q51A11: (amount)
Q51A1p: (periodicity)
Q51A12: (number of pay periods)
Enter dollar amount
________________
Q51A2p
What is the easiest way for you to tell us (name's/your) Supplemental
Unemployment Benefits; weekly, every other week, twice a month, monthly, or
yearly?
1 Weekly
2 Every other week (bi-weekly)
3 Twice a month
4 Monthly
7 Yearly
Q51A21
How much did (name/you) receive (weekly/every other week/twice a
month/monthly) in Supplemental Unemployment Benefits during 2020?
D-50 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
Enter dollar amount
_____________
Q51A21r1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
in Supplemental Unemployment Benefits during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q51A21r2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in Supplemental Unemployment Benefits during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q51A2C
Do not read to the respondent.
The annual rate appears out of range. The total Supplemental Unemployment Benefits
received in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If
No, press enter and correct entry.
Q51A22
How many (weekly/every other week/twice a month/ monthly) payments did
(name/you) receive from Supplemental Unemployment Benefits during 2020?
(1-12/1-24/1-26/1-52)
________________
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-51
Q51A23
According to my calculations (name/you) received (total) altogether from
Supplemental Unemployment Benefits during 2020. Does that sound about right?
1 Yes
2 No
Q51A24
What is your best estimate of the correct total amount (name/you) received from
Supplemental Unemployment Benefits during 2020?
PREVIOUS ENTRIES: Q51A21: (amount)
Q51A2p: (periodicity)
Q51A22: (number of pay periods)
Enter dollar amount
________________
Q51A3p
What is the easiest way for you to tell us (name's/your) Union Unemployment or
Strike Benefits; weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week (bi-weekly)
3 Twice a month
4 Monthly
7 Yearly
Q51A31
How much did (name/you) receive (weekly/every other week/ twice a
month/monthly) in Union Unemployment or Strike Benefits during 2020?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
Enter dollar amount
________________
Q51A31r1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
D-52 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
in Union Unemployment or Strike Benefits during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q51A31r2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in Union Unemployment or Strike Benefits during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
C251A3
Do not read to the respondent.
The annual rate appears out of range. The total Union Unemployment or Strike Benefits
received in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If
No, press enter and correct entry.
Q51A32
How many (weekly/every other week/ twice a month/ monthly) payments did
(name/you) receive from Union Unemployment or Strike Benefits during 2020?
(1-12/1-24/1-26/1-52)
________________
Q51A33
According to my calculations (name/you) received (total) altogether from Union
Unemployment or Strike Benefits during 2020. Does that sound about right?
1 Yes
2 No
Q51A34
What is your best estimate of the correct total amount (name/you) received from
Union Unemployment or Strike Benefits during 2020?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-53
PREVIOUS ENTRIES: Q51A31: (amount)
Q51A3p: (periodicity)
Q51A32: (number of pay periods)
Enter dollar amount
________________
Q52cp
What is the easiest way for you to tell us (your/name’s) Worker’s Compensation:
weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q52c1
How much did (name/you) receive (weekly/every other week/twice a
month/monthly) in Worker’s Compensation during 2020?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
Enter dollar amount
________________
Q52cr1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
in Worker’s Compensation during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q52cr2
Did (name/you) receive
D-54 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
less than $1,000
between $1,000 and $5,000
or over $5,000
in Worker’s Compensation during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q52cC2
Do not read to the respondent.
The annual rate appears out of range. The total worker's compensation received in 2020
was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press enter and
correct entry.
Q52c2
How many (weekly/every other week/twice a month/monthly) payments did
(name/you) receive from Worker’s Compensation during 2020?
(1-12/1-24/1-26/1-52)
________________
Q52c3
Then (name/you) received (total) altogether from Worker’s Compensation during
2020. Does that sound about right?
1 Yes
2 No
Q52c4
What is your best estimate of the correct total amount (name/you)
received from Worker’s Compensation during 2020?
PREVIOUS ENTRIES: Q52c1: (amount)
Q52cp: (periodicity)
Q52c2: (number of pay periods)
Enter dollar amount
________________
5.2 SOCIAL SECURITY (Amounts)
Q56dp
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-55
What is the easiest way for you to tell us (name's/your) Social Security payment;
monthly, quarterly, or yearly?
4 Monthly
5 Quarterly
7 Yearly
Q56d
How much did (name/you) receive (monthly/quarterly) in Social Security payments
in 2020?
Enter dollar amount
(If already included in amount reported for another household member, press Enter)
________________
Q56d_Char
Enter <A> for Already included
________________
Q56drn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (you/name) received in Social Security payments in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q56drn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in Social Security payments in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
D-56 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
3 Over $5,000
Q56d2
For how many (months/quarters) did (name/you) receive Social Security in 2020?
(1-4; 1-12)
________________
Q56d3
Is this $(amount from Q56d/amount from Q56d1) before or after any monthly
Medicare deduction?
1 After Deduction
2 Before Deduction
Q56md
If Q56d3 = 1 then ask:
How much were (name’s/your) monthly Medicare deductions?
If Q56d3 = 2 then ask:
How much were (name’s/your) monthly payments for Medicare?
Include Medicare Advantage, Part B, and Part D premiums.
________________
Q56dC2
Do not read to the respondent.
The annual rate appears out of range. The total Social Security received in 2020 was
(amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press enter and
correct entry.
Q56d5
According to my calculations (name/you) received $(total) altogether from Social
Security in 2020. Does that sound about right?
1 Yes
2 No
Q56d6
What is your best estimate of the correct amount (name/you) received in Social
Security during 2020?
PREVIOUS ENTRIES: Q56d: (amount)
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-57
Q56dp: (periodicity)
Q56d2: (number of pay periods)
Enter dollar amount
________________
5.3 SOCIAL SECURITY DISABILITY (Amounts)
Q562dp
What is the easiest way for you to tell us (name's/your) Social Security Disability
payment; monthly, quarterly, or yearly?
4 Monthly
5 Quarterly
7 Yearly
Q562d
How much did (name/you) receive (monthly/quarterly) in Social Security Disability
payments in 2020?
Enter dollar amount
(If already included in amount reported for another household member, press Enter)
________________
Q562d_Char
Enter <A> for Already included
________________
Q562d2
For how many (months/quarters) did (name/you) receive Social Security Disability
in 2020?
(1-4; 1-12)
________________
Q562drn1
Could you tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
D-58 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
in Social Security Disability payments in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q562drn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in Social Security Disability payments in 2020?
4 Less than $1,000
5 Between $1,000 and $5,000
6 Over $5,000
Q562d3
Is this $(amount from Q562d) before or after any monthly Medicare deductions?
1 After Deduction
2 Before Deduction
Q562md
If Q562d3 = 1 then ask:
How much were all of (name’s/your) monthly Medicare deductions?
If Q562d3 = 2 then ask:
How much were (name’s/your) monthly payments for Medicare?
Include Medicare Advantage, Part B, and part D premiums.
Q562dC2
Do not read to the respondent.
The annual rate appears out of range. The total Social Security received in 2020 was
(amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press enter and
correct entry.
BACKPAY1
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-59
During 2020, did (name/you) receive an initial Social Security Disability payment
that was larger than the usual payment that we haven’t accounted for yet?
Sometimes the initial payment from Social Security Disability is larger than the usual
monthly payments to make up for the delay in receiving the first payment.
1 Yes
2 No
BACKPAY2
How much was that initial disability payment?
Q562d5
According to my calculations (name/you) received $(total) altogether from Social
Security Disability in 2020. Does that sound about right?
1 Yes
2 No
Q562d6
What is your best estimate of the correct amount (name/you) received in Social
Security Disability during 2020?
PREVIOUS ENTRIES: Q562d: (amount)
Q562dp: (periodicity)
Q562d2: (number of pay periods)
BACKPAY2: (amount)
Enter dollar amount
________________
5.4 SOCIAL SECURITY FOR CHILDREN (Amounts)
Q56ip
What is the easiest way for you to tell us (name's/your) Social Security payment for
children in this household; monthly, quarterly, or yearly?
4 Monthly
5 Quarterly
7 Yearly
Q56i
D-60 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
How much did (name/you) receive (monthly/quarterly) in Social Security payments
for children in this household in 2020?
Enter dollar amount
(If already included in amount reported for another household member, press Enter)
________________
Q56i_Char
Enter A for Already included
________________
Q56irn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in Social Security payments for
children in this household in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q56irn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in Social Security payments for children in this household in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q56i2
For how many (months/quarters) did (name/you) receive Social Security in 2020?
(1-4; 1-12)
________________
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-61
Q56iC2
Do not read to the respondent.
The annual rate appears out of range. The total Social Security received for children in
2020 was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press
enter and correct entry.
Q56i4
According to my calculations (name/you) received $(total) altogether for children in
this household from Social Security in 2020. Does that sound about right?
1 Yes
2 No
Q56i5
What is your best estimate of the correct amount (name/you) received in Social
Security for children in this household during 2020?
Previous entries: (amount)
Q56ip: (periodicity)
Q56i2: (number of pay periods)
Enter dollar amount
________________
5.5 SUPPLEMENTAL SECURITY INCOME (SSI) (Amounts)
Q57cp
What is the easiest way for you to tell us (name's/your) Supplemental Security
Income payment; monthly, quarterly, or yearly?
4 Monthly
5 Quarterly
7 Yearly
Q57c
How much did (name/you) receive (monthly/quarterly) in Supplemental Security
Income payments in 2020?
Enter dollar amount
________________
D-62 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q57crn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in Supplemental Security Income
payments in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q57crn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in Supplemental Security Income payments in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q57c2
For how many (months/quarters) did (name/you) receive Supplemental Security
Income in 2020?
(1-4; 1-12)
________________
Q57cC2
Do not read to the respondent.
The annual rate appears out of range. The total Supplemental Security Income received
in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press
enter and correct entry.
Q57c4
According to my calculations (name/you) received $(total) altogether from
Supplemental Security Income in 2020. Does that sound about right?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-63
1 Yes
2 No
Q57c5
What is your best estimate of the correct amount (name/you) received in
Supplemental Security Income during 2020?
Previous entries: (amount)
Q57cp: (periodicity)
Q57c2: (number of pay periods)
Enter Dollar Amount
________________
5.6 SUPPLEMENTAL SECURITY INCOME FOR CHILDREN (Amounts)
Q57ip
What is the easiest way for you to tell us the Supplemental Security
Income (name/you) received on behalf of children?
4 Monthly
5 Quarterly
7 Yearly
Q57i
How much did (name/you) receive (monthly/quarterly) in Supplemental Security
Income on behalf of children in 2020?
Enter dollar amount
________________
Q57irn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in Supplemental Security
Income payments in 2020?
1 Less than $10,000
D-64 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
2 Between $10,000 and $20,000
3 Over $20,000
Q57irn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in Supplemental Security Income in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q57i2
For how many (months/quarters) did (name/you) receive Supplemental Security
Income on behalf of children in 2020?
(1-4; 1-12)
________________
Q57iC2
Do not read to the respondent.
The annual rate appears out of range. The total Supplemental Security Income received
on behalf of children in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to
Suppress. If No, press enter and correct entry.
Q57i4
According to my calculations (name/you) received $(total) altogether from
Supplemental Security Income on behalf of children in 2020.
Does that sound about right?
1 Yes
2 No
Q57i5
What is your best estimate of the correct amount (name/you) received in
Supplemental Security Income on behalf of children during 2020?
PREVIOUS ENTRIES: (amount)
Q57ip: (periodicity)
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-65
Q57i2: (number of pay periods)
Enter dollar amount
________________
5.7 DISABILITY INCOME (Amounts)
Q61E1P
What is the easiest way for you to tell us (name's/your) (fill first answer from Q61C
or Q61Cs1) payments; weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q61E1
How much did (name/you) receive (weekly/ every other week/ twice a month/
monthly) before deductions in (fill first answer from Q61C or Q61Cs1) payments in
2020?
Enter dollar amount
Do not include Veterans’ payments.
_______________
Q61e1rn1
Could you please tell me if (name/you) received:
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in (fill first answer from Q61Cr or
Q61Cs1) during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q61e1rn2
Did (name/you) receive
D-66 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
less than $1,000
between $1,000 and $5,000
or over $5,000
in (fill first answer from Q61C or Q61Cs1) during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q61E12
How many (weekly/ every other week/ twice a month/ monthly) payments did
(name/you) receive in (fill first answer from Q61C or Q61Cs1) payments in 2020?
Disability income source #1 (1-12; 1-52)
______________
Q61E1C
Do not read to the respondent.
The annual rate appears out of range. The total (fill from first answer in Q61c or
Q61cs1) payments received in 2020 was (amount). Is this a correct entry? If Yes, enter
"S" to Suppress. If No, press enter and correct entry.
Q61E13
According to my calculations (name/you) received $(total) altogether from
(fill first answer from Q61C or Q61Cs1) payments in 2020. Does that sound about
right?
1 Yes
2 No
Q61E14
What is your best estimate of the correct amount (name/you) received from (fill first
answer from Q61C or Q61Cs1) payments during 2020?
PREVIOUS ENTRIES: (amount)
Q61E1P: (periodicity)
Q61E12: (number of pay periods)
Enter dollar amount
_______________
Q61E2P
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-67
What is the easiest way for you to tell us (name's/your) (fill second answer from
Q61C or Q61Cs1) payments; weekly, every other week, twice a month, monthly, or
yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q61E2
How much did (name/you) receive (weekly/every other week/ twice a month/
monthly) before deductions in (fill second answer from Q61C or Q61Cs1)
payments in 2020?
Enter dollar amount
_______________
Q61e2rn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in (fill second answer from Q61C or
Q61Cs1) during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q61e2rn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in (fill second answer from Q61C or Q61Cs1) during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
D-68 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q61E22
How many (weekly/every other week/ twice a month/ monthly) payments did
(name/you) receive in (fill second answer from Q61C or Q61Cs1) payments in 2020?
Disability income payment source #2 (1-12; 1-52)
_______________
Q61E2C
Do not read to the respondent.
The annual rate appears out of range. The total (fill from second answer in Q61c or
Q61cs1) payments received in 2020 was (amount). Is this a correct entry? If Yes, enter
"S" to Suppress. If No, press enter and correct entry.
Q61E23
According to my calculations (name/you) received $(total) altogether
from (fill second answer from Q61C or Q61Cs1) payments in 2020. Does that
sound about right?
1 Yes
2 No
Q61E24
What is your best estimate of the correct amount (name/you) received from (fill
second answer from Q61C or Q61Cs1) payments during 2020?
PREVIOUS ENTRIES: (amount)
Q61E2P: (periodicity)
Q61E22: (number of pay periods)
Enter dollar amount
_______________
5.8 VETERANS PAYMENTS (Amounts)
Q60V1P
What is the easiest way for you to tell us (name's/your) (fill from first answer in
Q60c8); weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-69
4 Monthly
7 Yearly
Q60V1
How much did (name/you) receive (weekly/every other week/ twice a
month/monthly) before deductions in (fill from first answer in Q60c8) in 2020?
Enter dollar amount
_______________
Q60v1rn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in (fill from first answer in Q60c8)
during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q60v1rn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in (fill from first answer in Q60c8) payments during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q60V12
How many (weekly/every other week/ twice a month/monthly) payments did
(name/you) receive in (fill from first answer in Q60c8) in 2020?
(1-52)
________________
D-70 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q60V1C
Do not read to the respondent.
The annual rate appears out of range. The total (fill from first answer in Q60c8) received
in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press
enter and correct entry.
Q60V13
According to my calculations (name/you) received $(total) altogether from (fill from
first answer in Q60c8) in 2020. Does that sound about right?
1 Yes
2 No
Q60V14
What is your best estimate of the correct amount (name/you) received in Veteran's
benefits during 2020?
PREVIOUS ENTRIES: Q60V1: (amount)
Q60V1P: (periodicity)
Q60V12: (number of pay periods)
Enter dollar amount
________________
Q60V2P
What is the easiest way for you to tell us (name's/your) (fill from second answer in
Q60c8); weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q60V2
How much did (name/you) receive (weekly/every other week/ twice a
month/monthly) before deductions in (fill from second answer in Q60c8) in 2020?
Enter dollar amount
_______________
Q60v2rn1
Could you please tell me if (name/you) received
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-71
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in (fill from second answer in Q60c8)
payments during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q60v2rn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in (fill from second answer in Q60c8) payments during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q60V22
How many (weekly/every other week/ twice a month/monthly) payments did
(name/you) receive in (fill from second answer in Q60c8) in 2020?
(1-52)
________________
Q60V2C
Do not read to the respondent.
The annual rate appears out of range. The total (fill from second answer in Q60c8)
received in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If
No, press enter and correct entry.
Q60V23
According to my calculations (name/you) received $(total) altogether from
(fill from second answer in Q60c8) in 2020. Does that sound about right?
D-72 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 Yes
2 No
Q60V24
What is your best estimate of the correct amount (name/you) received in
(fill from second answer in Q60c8) during 2020?
PREVIOUS ENTRIES: Q60V2: (amount)
Q60V2P: (periodicity)
Q60V22: (number of pay periods)
Enter dollar amount
________________
5.9 SURVIVOR BENEFITS – Amounts
Q58E1P
What is the easiest way for you to tell us (name's/your) (fill from first answer
in Q58C or Q58Cs1) payments?
Weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q58E1
How much did (name/you) receive (weekly/every other week/twice a month/
monthly) from (your/his/her) (fill from first answer in Q58C or Q58Cs1) in 2020?
Enter dollar amount
_______________
Q58e1rn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received from (your/his/her) (fill from first
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-73
answer in Q58C or Q58Cs1) payments during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q58e1rn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
from (you/his/her) (fill from first answer in Q58C or Q58Cs1) payments during
2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q58E12
How many (weekly/every other week/twice a month/monthly) payments did
(name/you) receive in (fill from first answer in Q58C or Q58Cs1) in 2020?
(1-52)
________________
Q58E1C
Do not read to the respondent.
The annual rate appears out of range. The total (fill from first answer in Q58C or
Q58Cs1) received in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to
Suppress. If No, press enter and correct entry.
Q58E13
According to my calculations (name/you) received $(total) altogether from
(fill from first answer in Q58C or Q58Cs1) in 2020. Does that sound about right?
1 Yes
2 No
Q58E14
D-74 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
What is your best estimate of the correct amount (name/you) received from
(your/his/her) (fill from first answer in Q58C or Q58Cs1) payments during 2020?
PREVIOUS ENTRIES: Q58E1: (amount)
Q58E1P: (periodicity)
Q58E12: (number of pay periods)
Enter dollar amount
________________
Q58E2P
What is the easiest way for you to tell us (name's/your) (fill from second answer in
Q58C or Q58Cs1) payments?
Weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q58E2
How much did (name/you) receive (weekly/every other week/twice a month/
monthly) in (fill from second answer in Q58C or Q58Cs1) in 2020?
Enter dollar amount
________________
Q58e2rn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received from (your/his/her) (fill from second
answer in Q58C or Q58Cs1) payments during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q58e2rn2
Did (name/you) receive
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-75
less than $1,000
between $1,000 and $5,000
or over $5,000
from (your/his/her) (fill from second answer in Q58C or Q58Cs1) payments during
2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q58E22
How many (weekly/every other week/twice a month/monthly) payments did
(name/you) receive from (your/his/her) (fill from second answer in Q58C or Q58Cs1)
in 2020?
(1-52)
________________
Q58E2C
Do not read to the respondent.
The annual rate appears out of range. The total (fill from second answer in Q58C or
Q58Cs1) received in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to
Suppress. If No, press enter and correct entry.
Q58E23
According to my calculations (name/you) received $(total) altogether from
(your/his/her) (fill from second answer in Q58C or Q58Cs1) payments in 2020.
Does that sound about right?
1 Yes
2 No
Q58E24
What is your best estimate of the correct amount (name/you) received from
(your/his/her) (fill from second answer in Q58C or Q58Cs1) payments during 2020?
PREVIOUS ENTRIES: Q58E2: (amount)
Q58E2P: (periodicity)
Q58E22: (number of pay periods)
Enter dollar amount
D-76 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
________________
Q58E3P
What is the easiest way for you to tell us (name's/your) (fill from third answer in
Q58C or Q58Cs1); weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q58E3
How much did (name/you) receive (weekly/every other week/twice a month/
monthly) in (fill from third answer in Q58C or Q58Cs1) in 2020?
Enter dollar amount
________________
Q58e3rn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received from (your/his/her) (fill from third
answer in Q58C or Q58Cs1) payments during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q58e3rn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
from (your/his/her) (fill from third answer in Q58C or Q58Cs1) payments during
2020?
1 Less than $1,000
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-77
2 Between $1,000 and $5,000
3 Over $5,000
Q58E32
How many (weekly/every other week/ twice a month/ monthly) payments did
(name/you) receive from (your/his/her) (fill from third answer in Q58C or Q58Cs1)
in 2020?
(1-52)
________________
Q58E3C
Do not read to the respondent.
The annual rate appears out of range. The total (fill from third answer in Q58C or
Q58Cs1) received in 2020 was (amount). Is this a correct entry? If Yes, enter "S" to
Suppress. If No, press enter and correct entry.
Q58E33
According to my calculations (name/you) received (total) altogether from
(your/his/her) (fill from third answer in Q58C or Q58Cs1) payments in 2020. Does
that sound about right?
1 Yes
2 No
Q58E34
What is your best estimate of the correct amount (name/you) received from
(your/his/her) (fill from third answer in Q58C or Q58Cs1) payments during 2020?
PREVIOUS ENTRIES: Q58E3: (amount)
Q58E3P: (periodicity)
Q58E32: (number of pay periods)
Enter dollar amount
_______________
5.10 PUBLIC ASSISTANCE (Amounts)
Q59ep
What is the easiest way for you to tell us (name's/your) TOTAL CASH assistance
payments from (fill from Q59C8r); Is it weekly, every other week, twice a month,
monthly, or yearly?
D-78 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q59e
During 2020, how much TOTAL CASH assistance did (name/you) receive (per
week/every other week/twice a month/monthly): (fill from Q59C8r)?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
Enter dollar amount
___________
Q59ern1
Could you tell me if (name/you) received
less than $1,000
between $1,000 and $3,000
or over $3,000
in TOTAL CASH assistance payments in 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3000
Q59ern2
Did (name/you) receive
less than $100
between $100 and $500
or over $500
in TOTAL CASH assistance payments in 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
Q59e2
How many (weekly/every other week/ twice a month/ monthly) cash assistance
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-79
payments did (name/you) receive in 2020?
(1-12/1-24/1-26/1-52)
________________
Q59eC2
Do not read to the respondent.
The annual rate appears out of range. The total cash assistance received in 2020 was
$(amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press enter and
correct entry.
Q59e3
According to my calculations (name/you) received $(total) altogether in cash
assistance from a state or county program in 2020. Does that sound about right?
1 Yes
2 No
Q59e4
What is your best estimate of the correct amount of cash assistance
(name/you) received during 2020?
PREVIOUS ENTRIES: Q59e: (amount)
Q59ep: (periodicity)
Q59e2: (number of pay periods)
Enter dollar amount
________________
Q59f
Was the cash assistance for adults AND children in the household, or JUST
children?
1 Both adults AND children
2 Children only
3 Adults only
Q59g
(Who/Which children) in your household was the cash assistance for?
Probe: Anyone Else?
Enter all that apply, separate using the space bar or a comma.
D-80 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Enter 0 if none listed
Enter 96 for all persons
5.11 FOOD STAMPS/SUPPLEMENTAL NUTRITION ASSISTANCE
PROGRAM (SNAP) (Amounts)
Q90p
What is the easiest way for you to tell us the value of the food assistance:
monthly or yearly?
1 Monthly
2 Yearly
3 Already included with TANF/AFDC payment
Q90
What is the (monthly) value of the food assistance received in 2020?
Enter dollar amount
________________
Q90rn1
Could you tell me if the value of food assistance received in 2020 was
less than $1,000
between $1,000 and $3,000
or over $3,000
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3000
Q90rn2
Was the value
less than $100
between $100 and $500
or over $500
in food assistance in 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-81
Q902
How many months was food assistance received in 2020?
(1-12)
________________
Q90C2
Do not read to the respondent.
The annual rate appears out of range. The total food assistance payments received in
2020 was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press
enter and correct entry.
Q903
According to my calculations $(total) was received altogether from food assistance
in 2020. Does that sound about right?
1 Yes
2 No
Q904
What is your best estimate of the correct amount of food assistance received
during 2020?
PREVIOUS ENTRIES: Q90: (amount)
Q90p: (periodicity)
Q902: (number of pay periods)
Enter dollar amount
________________
5.12 PENSIONS (Amounts)
Q62E1PR
What is the easiest way for you to tell us (name's/your) (first answer fill-in from
Q62CR/Q62cS1); weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
D-82 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q62E1R
How much did (name/you) receive (weekly/every other week/ twice a month/
monthly) in (first answer fill-in from Q62CR/Q62cS1) in 2020?
Enter dollar amount
______________
Q62E1rn1
Could you tell me if (you/name) received
less than $10,000
between $10,000 and $20,000
or over $20,000
in (first answer fill-in from Q62CR/Q62cS1) in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q62E1rn2
Did (you/name) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in (first answer fill-in from Q62CR/Q62cS1) in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q62E12R
How many (weekly/every other week/ twice a month/ monthly) payments did
(name/you) receive in (first answer fill-in from Q62CR/Q62cS1) in 2020?
Pension/Retirement #1 (1-12; 1-52)
_______________
Q62E1CR
Do not read to the respondent.
The annual rate appears out of range. The total (fill from first answer in
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-83
Q62CR/Q62cS1) payments received in 2020 was (amount). Is this a correct entry? If
Yes, enter "S" to Suppress. If No, press enter and correct entry.
Q62E13R
According to my calculations (name/you) received (total) dollars altogether from
(first answer fill-in from Q62CR/Q62cS1) in 2020. Does that sound about right?
1 Yes
2 No
Q62E14R
What is your best estimate of the correct amount (name/you) received in (first
answer fill-in from Q62CR/Q62cS1) during 2020?
PREVIOUS ENTRIES: Q62E1: (amount)
Q62E1P: (periodicity)
Q62E12: (number of pay periods)
Enter dollar amount
_______________
Q62E2PR
What is the easiest way for you to tell us (name's/your) (second answer fill-in from
Q62CR/Q62cS1); weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
Q62E2R
How much did (name/you) receive (weekly/every other week/ twice a month/
monthly) in (second answer fill-in from Q62CR/Q62cS1) in 2020?
Enter dollar amount
_______________
Q62E2rn1
Could you please tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
D-84 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
in (second answer fill-in from Q62CR/Q62cS1) payments in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q62E2rn2
Did (name/you) receive
less than $1,000
between $1,000 and $5,000
or over $5,000
in (second answer fill-in from Q62CR/Q62cS1) in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q62E22R
How many (weekly/every other week/ twice a month/ monthly) payments did
(name/you) receive in (second answer fill-in from Q62CR/Q62cS1) in 2020?
Pension/Retirement #1 (1-12; 1-52)
_______________
Q62E2CR
Do not read to the respondent.
The annual rate appears out of range. The total (fill from second answer in
Q62CR/Q62cS1) payments received in 2020 was (amount). Is this a correct entry? If
Yes, enter "S" to Suppress. If No, press enter and correct entry.
Q62E23R
According to my calculations (name/you) received $(total) dollars altogether from
(second answer fill-in from Q62CR/Q62cS1) in 2020. Does that sound about right?
1 Yes
2 No
Q62E24R
What is your best estimate of the correct amount (name/you) received in (second
answer fill-in from Q62CR/Q62cS1) during 2020?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-85
PREVIOUS ENTRIES: Q62E1: (amount)
Q62E1P: (periodicity)
Q62E12: (number of pay periods)
Enter dollar amount
_______________
5.13 ANNUITIES (Amounts)
ANNNEW1
What is the easiest way for you to tell us (name/your) annuity income; weekly, every
other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
ANNNEW2
How much did (name/you) receive (weekly/every other week/twice a month/
monthly) in annuities in 2020?
Enter dollar amount
_______________
ANNNEWrn1
Could you tell me if (name/you) received
less than $10,000
between $10,000 and $20,000
or over $20,000
in annuity payments in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
ANNNEWrn2
Did (name/you) receive
less than $1,000
D-86 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
between $1,000 and $5,000
or over $5,000
in annuity payments in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
ANNNEW3
How many (weekly/every other week/ twice a month/monthly) payments did
(name/you) receive in 2020?
(1-12; 1-52)
_______________
ANNNEW4
According to my calculations (name/you) received $(total) dollars altogether from
annuities in 2020. Does that sound about right?
1 Yes
2 No
ANNNEW5
What is your best estimate of the correct amount (name/you) received in annuities
in 2020?
Enter dollar amount
_______________
5.14 WITHDRAWALS/DISTRIBUTIONS FROM RETIREMENT PLAN
(Amounts)
DISTNEW1
What is the easiest way for you to tell us the amount of money withdrawn or
distributed from (name’s/your) (1st account type fill-in from Q97CR or Q97DR) in
2020: monthly, quarterly, every 6 months, or yearly?
4 Monthly
5 Quarterly
6 Every 6 months
7 Yearly
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-87
DISTNEW2
How much was (name's/your) withdrawal or distribution (weekly/every other week/
twice a month/ monthly) from (1st account type fill-in from Q97CR or Q97DR) in
2020?
Enter dollar amount
_______________
DISTNEW3
How many (monthly/quarterly) withdrawals did (name/you) make or distributions
did (name/you) receive in 2020 from the (1st account type fill-in from Q97CR or
Q97DR)?
Valid entries are 1-12 if monthly; 1-4 if quarterly; 1-2 if every six months
DISTNEWrn1
Could you please tell me if (name’s/your) withdrawal or distribution was
less than $10,000
between $10,000 and $20,000
or over $20,000
from (your/his/her) (1st account type fill-in from Q97CR or Q97DR) in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
DISTNEWrn2
Was (name’s/your) withdrawal or distribution
less than $1,000
between $1,000 and $5,000
or over $5,000
from (your/his/her) (1st account type fill-in from Q97CR or Q97DR) in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
DISTNEW4
D-88 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
According to my calculations (name/you) withdrew or received a distribution of
$(total) altogether from the (1st account type fill-in from Q97CR or Q97DR) in 2020.
Does that sound about right?
1 Yes
2 No
DISTNEW5
What is your best estimate of the correct amount (name/you) withdrew or the
distribution received from the (1st account type fill-in from Q97CR or Q97DR)
during 2020?
Enter dollar amount
_______________
ROLLA
Did (you/name) re-invest or "roll over" any of the money into an IRA or some other
kind of retirement plan?
1 Yes
2 No
ROLLAMTA
How much did (you/name) re-invest or “roll over” into an IRA or some other kind
of retirement plan in 2020?
Enter dollar amount
Dollar amount should not exceed amount of withdrawals reported.
Amount of withdrawals reported: $(amount)
_______________
ROLLB
(Do/Does) (you/name) plan to re-invest or roll over any of the money?
1 Yes
2 No
ROLLAMTB
How much (do/does) (you/name) plan to re-invest or “roll over” into an IRA or
some other kind of retirement plan?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-89
Enter dollar amount
Dollar amount should not exceed amount of withdrawals reported.
Amount of withdrawals reported: $(amount)
_______________
DISTNEW6
What is the easiest way for you to tell us the amount of money withdrawn or
distributed from (name’s/your) (2nd account type fill-in from Q97CR or Q97DR) in
2020: monthly, quarterly, every 6 months, or yearly?
4 Monthly
5 Quarterly
6 Every 6 months
7 Yearly
DISTNEW7
How much was (name's/your) withdrawal or distribution (weekly/every other week/
twice a month/ monthly) from (your/his/her) (2nd account type fill-in from Q97CR
or Q97DR) in 2020?
Enter dollar amount
_______________
DISTNEW8
How many (monthly/quarterly) withdrawals did (name/you) make or distributions
did (name/you) receive in 2020 from the (2nd account type fill-in from Q97CR or
Q97DR)?
(1-12), (1-4), (1-2)
DISTNEWrn3
Could you please tell me if (name’s/your) withdrawal or distribution was
less than $10,000
between $10,000 and $20,000
or over $20,000
from (your/his/her) (2nd account type fill-in from Q97CR or Q97DR) in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
DISTNEWrn4
D-90 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Was (name’s/your) withdrawal or distribution
less than $1,000
between $1,000 and $5,000
or over $5,000
from (your/his/her) (2nd account type fill-in from Q97CR or Q97DR) in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
DISTNEW9
According to my calculations (name/you) withdrew or received a distribution of
$(total) altogether from the (2nd account type fill-in from Q97CR or Q97DR) in
2020. Does that sound about right?
1 Yes
2 No
DISTNEW10
What is your best estimate of the correct amount (name/you) withdrew or the
distribution received from the (2nd account type fill-in from Q97CR or Q97DR)
during 2020?
Enter dollar amount
_______________
ROLLC
Did (you/name) re-invest or "roll over" any of the money into an IRA or some other
kind of retirement plan?
1 Yes
2 No
ROLLAMTC
How much did (you/name) re-invest or “roll over” into an IRA or some other kind
of retirement plan in 2020?
Enter dollar amount
Dollar amount should not exceed amount of withdrawals reported.
Amount of withdrawals reported: $(amount)
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-91
_______________
ROLLD
(Do/Does) (you/name) plan to re-invest or roll over any of the money?
1 Yes
2 No
ROLLAMTD
How much (do/does) (you/name) plan to re-invest or “roll over” into an IRA or
some other kind of retirement plan?
Enter dollar amount
Dollar amount should not exceed amount of withdrawals reported.
Amount of withdrawals reported: $(amount)
_______________
5.15 INTEREST/DIVIDENDS ON RETIREMENT ACCOUNTS (Amounts)
RETIRENEW1
Within the (1st account type fill-in from Q97CR/Q97DR) account, how much did
(name/you) earn in interest or dividends during 2020? Please include small amounts
reinvested or credited to the account.
Enter dollar amount
_____________
RETIRENEWrn1
Could you tell me if (name/you) earned
less than $1,000
between $1,000 and $3,000
or over $3,000
in interest or dividends from (your/his/her) (1st account type fill-in from
Q97CR/Q97DR) during 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3,000
RETIRENEWrn2
D-92 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Did (name/you) earn
less than $100
between $100 and $500
or over $500
in interest or dividends from (your/his/her) (1st account type fill-in from
Q97CR/Q97DR) during 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
RETIRENEW2
The Census Bureau can estimate the amount earned in this account based on the
size of the account. So can you tell me how much money was in (name’s/your) (1st
account type fill-in from Q97CR/Q97DR) account at the end of 2020?
Enter dollar amount
_____________
RETIRENEW3
Within the (2nd account type fill-in from Q97CR/Q97DR) account, how much did
(name/you) earn in interest or dividends during 2020? Please include small amounts
reinvested or credited to the account.
Enter dollar amount
_____________
RETIRENEWrn3
Could you tell me if (name/you) earned
less than $1,000
between $1,000 and $3,000
or over $3,000
in interest or dividends from (your/his/her) (2nd account type fill-in from
Q97CR/Q97DR) during 2020?
4 Less than $1,000
5 Between $1,000 and $3,000
6 Over $3,000
RETIRENEWrn4
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-93
Did (name/you) earn
less than $100
between $100 and $500
or over $500
in interest or dividends from (your/his/her) (2nd account type fill-in from
Q97CR/Q97DR) during 2020?
4 Less than $100
5 Between $100 and $500
6 Over $500
5.16 INTEREST/DIVIDENDS ON NON-RETIREMENT ACCOUNTS
(Amounts)
NONRETIRENEW(1-7)1
How much did (you/name) receive in (interest/dividends) from [fill-in from Q99AR
or Q99BR] during 2020, including even small amounts reinvested or credited to
accounts?
If a joint account please split interest income in half for each person.
Enter dollar amount
_____________
NONRETIRENEW(1-7)rn1
Could you tell me if (you/name) received:
less than $1,000
between $1,000 and $3,000
or over $3,000
in (interest/dividends) from [fill-in from Q99AR or Q99BR] during 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3,000
NONRETIRENEW(1-7)rn2
Did (you/name) receive:
less than $100
between $100 and $500
D-94 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
or over $500
in (interest/dividends) from [fill-in from Q99AR or Q99BR] during 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
NONRETIRENEW(1-7)2
The Census Bureau can estimate the amount earned in this account based on the
size of the account. How much money did (you/name) have in [fill-in from Q99AR
or Q99BR] at the end of 2020?
Enter dollar amount
_____________
Q63(c-i)p
Read if necessary
Is this a weekly, every other week, twice a month, monthly, quarterly, every 6
months, or yearly amount?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
5 Quarterly
6 Every 6 months
7 Yearly
Q63(c-i)2
How many (weekly/ every other week/ twice a month/ monthly/ quarterly/ every 6
months) payments did (you/name) receive in interest/dividend income in 2020 from
[fill-in from Q99AR or Q99BR]?
_______________
Q63(c-i)3
According to my calculations (you/name) received $(total) from interest/dividend
income from [fill-in from Q99AR or Q99BR] in 2020. Does that sound about right?
1 Yes
2 No
Q63(c-i)4
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-95
What is your best estimate of the correct amount (you/NAME) received from
interest payments during 2020?
PREVIOUS ENTRIES: Q63(c-i): (amount)
Q63(c-i)p: (periodicity)
Q63(c-i)2: (number of pay periods)
Enter dollar amount
_______________
CAPGDAMT
How much did (you/name) receive in capital gains in 2020?
Enter dollar amount
_______________
CAPGDAMTrn1
Could you tell me if (name/you) received:
less than $10,000
between $10,000 and $20,000
or over $20,000
in capital gains during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
CAPGDAMTrn2
Did (name/you) receive:
less than $1,000
between $1,000 and $5,000
or over $5,000
in capital gains distributions during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
5.17 PROPERTY INCOME (Amounts)
D-96 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Q65c
How much did (name/you) receive in income from rent (, roomers or boarders,
estates, trusts, or royalties/, roomers or boarders, or royalties/, estates or trusts fill
from Q65A1-3) AFTER EXPENSES during 2020?
Separate amounts for joint ownership
If response is "Broke Even" then enter 1.
Enter dollar amount
If already included in amount reported for another household member, press Enter
If response is "None" or "Lost Money" press <Enter> key
_______________
Q65c_Char
Enter "A" for Already included
Enter "L" for Lost Money
Enter "X" for None
______________
Q65cL
Enter amount of money lost in 2020.
_______________
Q65crn1
Could you please tell me if (name/you) received:
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in income from rent (roomers or
boarders, estates, trusts, or royalties/, roomers or boarders, or royalties/, estates or
trusts fill from Q65A1-3) AFTER EXPENSES during 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q65crn2
Did (name/you) receive:
less than $1,000
between $1,000 and $5,000
or over $5,000
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-97
in income from rent (roomers or boarders, estates, trusts, or royalties/, roomers or
boarders, or royalties/, estates or trusts fill from Q65A1-3) AFTER EXPENSES
during 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q65cp
Is this a weekly, every other week, twice a month, monthly, quarterly, or yearly
amount?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
5 Quarterly
7 Yearly
Q65c2
What is your best estimate of (name's/your) ANNUAL net income from rent
(roomers or boarders, estates, trusts, or royalties/, roomers or boarders, or
royalties/, estates or trusts) AFTER EXPENSES in 2020?
PREVIOUS ENTRIES: Q65c: (amount)
Q65cp: (periodicity)
Enter dollar amount
_______________
Q65cC2
Do not read to the respondent.
The annual rate appears out of range. The total income received from rent (roomers or
boarders, estates, trusts, or royalties) was (amount) in 2020. Is this a correct entry? If
Yes, enter "S" to Suppress. If No, press enter and correct entry.
Q65c2L
What is your best estimate of (name’s/your) ANNUAL LOSS from rent (roomers or
boarders, estates, trusts, or royalties/, roomers or boarders, or royalties/, estates or
trusts fill from Q65A1-3) AFTER EXPENSES in 2020?
PREVIOUS ENTRIES: Q65cL: (amount)
Q65cp: (periodicity)
D-98 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Enter dollar amount
_______________
5.18 EDUCATIONAL ASSISTANCE (Amounts)
Q69F88
How much did (name/you) receive in Pell Grants during 2020?
Enter annual amount only
________________
Q69Frn1
Could you please tell me if (name/you) received:
less than $1,000
between $1,000 and $3,000
or over $3,000
for the TOTAL amount (name/you) received in Pell Grants during 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3,000
Q69Frn2
Did (name/you) receive:
less than $100
between $100 and $500
or over $500
in Pell Grants during 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
Q66HP
What is the easiest way for you to tell us (name's/your) (other/blank) educational
assistance during 2020; weekly, every other week, twice a month, monthly, or
yearly?
1 Weekly
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-99
2 Every other week (bi-weekly)
3 Twice a month
4 Monthly
7 Yearly
Q66H
(Aside from the Pell Grant assistance, how/How) much did (name/you) receive
(weekly/every other week/ twice a month/ monthly) in educational assistance during
2020?
Enter dollar amount
________________
Q66H2
How many (weekly/every other week/ twice a month/ monthly) payments did
(name/you) receive in educational assistance in 2020?
(1-12/1-24/1-26/1-52)
________________
Q66Hrn1
Could you please tell me if (name/you) received:
less than $1,000
between $1,000 and $3,000
or over $3,000
for the TOTAL amount (name/you) received in educational assistance during 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3,000
Q66Hrn2
Did (name/you) receive:
less than $100
between $100 and $500
or over $500
in educational assistance during 2020?
1 Less than $100
2 Between $100 and $500
D-100 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
3 Over $500
Q66HC2
Do not read to the respondent.
The annual rate appears out of range. The total educational assistance received in 2020
was (amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press enter
and correct entry.
Q66H3
According to my calculations (name/you) received $(total) altogether from
educational assistance in 2020. Does that sound about right?
1 Yes
2 No
Q66H4
What is your best estimate of the correct amount (name/you) received from
educational assistance during 2020?
Previous entries: Q66h: (amount)
Q66hp: (periodicity)
Q66h2: (number of pay periods)
Enter dollar amount
________________
5.19 CHILD SUPPORT (Amounts)
Q70cp
What is the easiest way for you to tell us (name's/your) child support payments;
weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week (bi-weekly)
3 Twice a month
4 Monthly
7 Yearly
Q70c
How much did (name/you) receive (weekly/ every other week/ twice a month/
monthly) in child support payments in 2020?
Enter dollar amount
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-101
________________
Q70c2
How many (weekly/every other week/ twice a month/ monthly) child support
payments did (name/you) receive in 2020?
(1-12/1-24/1-26/1-52)
________________
Q70c1rn1
Could you please tell me if (name/you) received:
less than $10,000
between $10,000 and $20,000
or over $20,000
for the TOTAL amount (name/you) received in child support payments in 2020?
1 Less than $10,000
2 Between $10,000 and $20,000
3 Over $20,000
Q70c1rn2
Did (name/you) receive:
less than $1,000
between $1,000 and $5,000
or over $5,000
in child support payments in 2020?
1 Less than $1,000
2 Between $1,000 and $5,000
3 Over $5,000
Q70cC2
Do not read to the respondent.
The annual rate appears out of range. The total child support payments received in
2020 was $(amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press
enter and correct entry.
Q70c3
According to my calculations (name/you) received $(total) altogether from child
D-102 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
support payments in 2020. Does that sound about right?
1 Yes
2 No
Q70c4
What is your best estimate of the correct amount (name/you) received from child
support payments during 2020?
PREVIOUS ENTRIES: Q70c: (amount)
Q70cp: (periodicity)
Q70c2: (number of pay periods)
Enter dollar amount
________________
5.20 REGULAR FINANCIAL ASSISTANCE (Amounts)
Q72cp
What is the easiest way for you to tell us (name's/your) regular financial assistance;
weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week (bi-weekly)
3 Twice a month
4 Monthly
7 Yearly
Q72c
How much did (name/you) receive (weekly/every other week/twice a month/
monthly) in regular financial assistance in 2020?
Enter dollar amount
________________
Q72c2
How many (weekly/every other week/twice a month/monthly) payments did
(name/you) receive in regular financial assistance in 2020?
(1-12/1-24/1-26/1-52)
_______________
Q72crn1
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-103
Could you please tell me if (name/you) received:
less than $1,000
between $1,000 and $3,000
or over $3,000
in regular financial assistance in 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3,000
Q72crn2
Did (name/you) receive
less than $100
between $100 and $500
or over $500
in regular financial assistance in 2020?
1 Less than $100
2 Between $100 and $500
3 Over $500
Q72cC2
Do not read to the respondent.
The annual rate appears out of range. The total regular financial assistance payments
received in 2020 was $(amount). Is this a correct entry? If Yes, enter "S" to Suppress.
If No, press enter and correct entry.
Q72c3
According to my calculations (name/you) received $(total) altogether from regular
financial assistance in 2020. Does that sound about right?
1 Yes
2 No
Q72c4
What is your best estimate of the correct amount (name/you) received from regular
financial assistance during 2020?
D-104 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
PREVIOUS ENTRIES: Q72c: (amount)
Q72cp: (periodicity)
Q72c2: (number of pay periods)
________________
5.21 OTHER MONEY INCOME (Amounts)
Q731P
What is the easiest way for you to tell us (name's/your) income from (fill from
Q73A1Rc);
weekly, every other week, twice a month, monthly, or yearly?
1 Weekly
2 Every other week (bi-weekly)
3 Twice a month
4 Monthly
7 Yearly
Q731
How much did (name/you) receive (weekly/every other week/twice a month/
monthly) in income from (fill from Q73A1Rc) during 2020?
Do NOT include federal stimulus payments due to the Coronavirus pandemic.
Enter dollar amount
________________
Q7312
How many (weekly/every other week/twice a month/monthly) payments did
(name/you) receive in income from (fill from Q73A1Rc) during 2020?
(1-12/1-24/1-26/1-52)
________________
Q73rn1
Could you please tell me if (name/you) received:
less than $1,000
between $1,000 and $3,000
or over $3,000
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-105
in income from (Alaska Permanent Fund Dividend/fill-in from Q73a1Rc)?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3,000
Q73rn2
Did (name/you) receive:
less than $100
between $100 and $500
or over $500
in income from (Alaska Permanent Fund Dividend/fill-in from Q73a1Rc)?
1 Less than $100
2 Between $100 and $500
3 Over $500
Q731C2
Do not read to the respondent.
The annual rate appears out of range. The total income from (fill from Q73A1Rc) in
2020 was $(amount). Is this a correct entry? If Yes, enter "S" to Suppress. If No, press
enter and correct entry.
Q7313
According to my calculations (name/you) received $(total) altogether from (Alaska
Permanent Fund Dividend/fill-in from Q73a1Rc) in 2020.
Does that sound about right?
1 Yes
2 No
Q7314
What is your best estimate of the correct amount (name/you) received in income
from (Alaska Permanent Fund Dividend/fill-in from Q73a1Rc) in 2020?
PREVIOUS ENTRIES: Q731: (amount)
Q731P: (periodicity)
Q7312: (number of pay periods)
Enter dollar amount
________________
D-106 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
5.22 CONTRIBUTIONS TO RETIREMENT ACCOUNTS (Amounts)
CONTRIB1
Earlier we recorded that (you/name) (have/has) a retirement account, such as a
401(k), 403(b), IRA, or other account designed specifically for retirement savings.
Did (you/he/she) contribute any money to (your/his/her) plan(s), for example,
through payroll deductions?
(Do not include amounts reinvested or “rolled over” from other retirement
accounts.)
1 Yes
2 No
CONTRIB2
How much did (you/he/she) contribute to (your/his/her) account(s) in 2020?
Total contributions to all accounts.
________________
6 HEALTH INSURANCE
6.1 INTRODUCTION TO HEALTH INSURANCE SECTION
HINTRO
These next questions are about health coverage between January 1, 2020 and now.
Press 1 to Continue
1 Enter 1 to Continue
PINTRO
(First/Next) I'm going to ask about (name's/your) health coverage.
Press 1 to Continue
1 Enter 1 to Continue
FHINTRO
Next, I'm going to ask about (name's/your) health coverage.
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-107
Press 1 to Continue
6.2 CURRENT COVERAGE
MCARE1
?[F1]
Medicare is health insurance for people 65 years and older and people under 65
with disabilities. (Is/Are) (name/you) NOW covered by Medicare?
Code Medicare Parts A, B, and C and Medicare Advantage as "Yes"
1 Yes
2 No
ANYCOV
(Does/Do) (name/you) NOW have any type of health plan or health coverage?
1 Yes
2 No
MEDI
?[F1]
(Are/Is/Was/Were) (name/you) covered by Medicaid, Medical Assistance, or
(CHIP/or Medicare)?
1 Yes
2 No
OTHGOVT
(Is/Are) (name/you) NOW covered by a state or government assistance program
that helps pay for healthcare, such as: State Medicaid, CHIP, Exchange/Portal, or
other State Health program?
Stop reading list if respondent says "YES"
1 Yes
2 No
VET
(Is/Are) (name/you) NOW covered by Veteran's Administration (VA) care?
D-108 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 Yes
2 No
VERIFY
I recorded that (name/you) (is/are) not currently covered by a health plan. Is that
correct?
1 Yes, is NOT covered
2 No, is covered
6.3 TYPE OF COVERAGE
SRCEGEN
?[F1]
ASK OR VERIFY
For the coverage (name/you) (has/have/had) NOW, (do/does/did) (he/she/you) get it
through a job, the government or state, or some other way?
1. JOB 2. GOVERNMENT OR 3. OTHER WAY
STATE
Former job/Retiree Medical Assistance Privately purchased
Union Medicaid Parent or spouse
Spouse/parent's job Medicare (Parts A+B; Part C) Medicare Supplements
Job with the government Medicare Advantage Exchange plan/Marketplace
COBRA State-provided health coverage Group or association
TRICARE/TRICARE For Life VA Care/CHAMPVA/other School
military
IF RESPONDENT CHOOSES MORE THAN ONE: Let's talk about one plan at a
time. Which would you like to tell me about first?
[ If respondent is not covered, go back to VERIFY and select "Yes"]
1 Job (current or former)
2 Government or State
3 Some other way
SRCEDEPDIR
ASK OR VERIFY
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-109
(Does/Do/Did) (name/you) get that coverage through a parent or spouse,
(does/do/did) (he/she/you) buy it (himself/herself/yourself), or (does/did/do)
(he/she/you) get it some other way?
1. PARENT OR SPOUSE 2. BUY IT DIRECTLY 3. SOME OTHER WAY
Parent Buy it Former employer
Spouse Parent or spouse buys it Group or association
Medicare Supplement Indian Health Service
School
1 Parent or spouse
2 Buy it
3 Some other way
SRCEOTH
ASK OR VERIFY
(Does/Do/Did) (name/you) get it through a former employer, a union, a group or
association, the Indian Health Service, a school, or some other way?
1 Former employer
2 Union
3 Group or association
4 Indian Health Service
5 School
6 Some other way
JOBCOV
(Is/Was) that coverage related to a JOB with the government or state?
READ IF NECESSARY: Include coverage through FORMER employers and unions,
and COBRA plans.
1 Yes
2 No
MILPLAN
ASK OR VERIFY
(Is/Was) that plan related to military service in any way?
Examples of military plans include:
- VA Care
- TRICARE
D-110 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
- TRICARE for Life
- CHAMPVA
- Other military care
1 Yes
2 No
GOVTYPE
?[F1]
ASK OR VERIFY
(Is/Was) that coverage Medicaid, CHIP, Medicare, a plan through the military, or
some other program?
Code Medicare Parts A, B, and C and Medicare Advantage as "Medicare"
IF RESPONDENT CHOOSES MORE THAN ONE: Let's talk about one plan at a
time. Which would you like to tell me about first?
1 Medicaid or Medical Assistance
2 CHIP
3 Medicare
4 Military
5 Other
MILTYPE
ASK OR VERIFY
(Is/Was) that plan through TRICARE, TRICARE for Life, CHAMPVA, VA Care,
military health care, or something else?
1 TRICARE
2 TRICARE for Life
3 CHAMPVA
4 Veterans Administration (VA) care
5 Military health care
6 Other
POLHOLDER
ASK OR VERIFY
Whose name (is/was) the policy in? (Who (is/was) the policyholder?)
1-16 Name on roster
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-111
17 Someone living outside the household
Enter persons line number (1-16), or 17 for person not in the household
SRCEPTSP
ASK OR VERIFY
(Do/Did) they get that coverage through their job, (do/did) they buy it themselves, or
(do/did) they get it some other way?
1 Job (current or former)
2 Buy it
3 Some other way
GOVPLAN
ASK OR VERIFY
What do you call the program?
IF RESPONDENT ANSWERS WITH INSURANCE COMPANY NAME: OK, so
that would be the plan name. What do you call the program? Some examples of
programs in (state) are [read full list below].
1 Medicaid
2 Medical Assistance
3 Indian Health Service (IHS)
4-12 State Medicaid Programs Names
13-15 State Exchange Programs Names
16 Plan through State Exchange Portal
17 Other government plan
18 Other (please specify)
MISCSPEC
Please Specify
Write in plan name
_______________
PORTAL
ASK OR VERIFY
(Is/Was) that coverage through (State Exchange Portal Name), which may also be
known as (State Exchange Program Name 1, Name 2, Name 3)?
D-112 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 Yes
2 No
EXCHTYPE
ASK OR VERIFY
What do you call it – State Exchange Program (Portal, Name 1, Name 2, Name 3)?
1-4 State Exchange Programs Names
HIPAID
(Does/Did) (your/policyholder name's/the policyholder’s) employer or union pay for
all, part, or none of the health insurance premium?
Report here employer's contribution to employee's health insurance premiums, not the
employee's medical bills.
1 All
2 Part
3 None
SHOP
Small businesses can offer health coverage to their employees through (State
Exchange SHOP Portal Name). (Is/Was) the coverage at all related to (State
Exchange SHOP Portal Name), (such as State SHOP Name 1, Name 2, Name 3)?
1 Yes
2 No
POLHOLDER2
ASK OR VERIFY
Whose name (is/was) the policy in? (Who [is/was] the policyholder?)
1-16 Name on roster
17 Someone living outside the household
Enter persons line number (1-16), or 17 for person not in the household
PREMYN
Is there a monthly premium for this plan?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-113
A monthly premium is a fixed amount of money people pay each month to have
health coverage. It does not include copays or other expenses such as prescription
costs.
1 Yes
2 No
PREMSUBS
Is the cost of the premium subsidized based on (your/family) income?
A monthly premium is a fixed amount of money people pay each month to have
health coverage. It does not include copays or other expenses such as prescription
costs.
Subsidized health coverage is insurance with a reduced premium. Low and middle
income families are eligible to receive tax credits that allow them to pay lower
premiums for insurance bought through healthcare exchanges or marketplaces.
1 Yes
2 No
6.4 MONTHS OF COVERAGE
BEFORAFT
Did (name's/your) coverage from (plan type) start before January 1, 2020?
READ IF NECESSARY: Your best estimate is fine.
(READ IF NECESSARY: If (policyholder) switched employers or plans through
(your/their) employer, consider it the same plan.)
(READ IF NECESSARY: If (policyholder) switched plans that (you/he/she)
(buy/buys), consider it the same plan.)
1 Yes
2 No
MNTHBEG1/2
In which month did (that/this) coverage start?
READ IF NECESSARY: Your best estimate is fine.
(READ IF NECESSARY: If (policyholder) switched employers or plans through
(your/their) employer, consider it the same plan.)
D-114 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
(READ IF NECESSARY: If (policyholder) switched plans that (you/he/she)
(buy/buys), consider it the same plan.)
This question refers to (plan type).
1 January
2 February
3 March
4 April
5 May
6 June
7 July
8 August
9 September
10 October
11 November
12 December
YEARBEG
ASK OR VERIFY
Which year was that?
(READ IF NECESSARY: If (policyholder) switched employers or plans through
(your/their) employer, consider it the same plan.)
(READ IF NECESSARY: If (policyholder) switched plans that (you/he/she)
(buy/buys), consider it the same plan.)
This question refers to (plan type).
1 2020
2 2021
CNTCOV
Has it been continuous since (beginning month)?
(READ IF NECESSARY: If (policyholder) switched employers or plans through
(your/their) employer, consider it the same plan.)
(READ IF NECESSARY: If (policyholder) switched plans that (you/he/she)
(buy/buys), consider it the same plan.)
READ IF NECESSARY: If the gap in coverage was less than 3 weeks, consider the
coverage "continuous."
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-115
This question refers to (plan type).
1 Yes
2 No
SPELLADD
I have recorded that (name/you) (was/were) covered by (plan type) in (months of
coverage). Were there any OTHER months between January 2020 and now that
(name/you) (was/were) also covered by (plan type)?
1 Yes
2 No
ANYTHIS
Which months (was/were) (name/you) covered by (plan type) THIS year -- in 2021?
1 January 2021
2 February 2021
3 March 2021
4 April 2021
20 All months of 2021
21 No months of 2021
ANYLAST
Which months (was/were) (name/you) covered by (plan type) LAST year -- in 2020?
1 January
2 February
3 March
4 April
5 May
6 June
7 July
8 August
9 September
10 October
11 November
12 December
20 All months from January 2020 until December 2020
21 No months from January 2020 until December 2020
WMNTHS
Which months between January 2020 and now (was/were) (name/you) covered by
(plan type)?
D-116 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 January 2020
2 February 2020
3 March 2020
4 April 2020
5 May 2020
6 June 2020
7 July 2020
8 August 2020
9 September 2020
10 October 2020
11 November 2020
12 December 2020
13 January 2021
14 February 2021
15 March 2021
16 April 2021
20 All months from January 2020 until now
21 No months from January 2020 until now
6.5 OTHER HOUSEHOLD MEMBERS
OTHMEMB
Between January 1, 2020 and now, was anyone in the household other than
(name/you) ALSO covered by (plan type)?
1 Yes
2 No
COVWHO
Who else was covered? Who else was covered by (plan type)?
PROBE: Anyone else?
0 No one listed
1-16 Person 1 through 16’s name
96 All persons listed
SAMEMNTHS
(Was/Were) (name/names) also covered from January 2020 until now?
This question refers to (plan type)
1 All also covered from January 2020 until now
2 None covered from January 2020 until now
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-117
MNTHS_P(1-16)M
Which months between January 2020 and now was (NAME) covered? [How about
(NAME)?]
This question refers to (plan type)
1 January 2020
2 February 2020
3 March 2020
4 April 2020
5 May 2020
6 June 2020
7 July 2020
8 August 2020
9 September 2020
10 October 2020
11 November 2020
12 December 2020
13 January 2021
14 February 2021
15 March 2021
16 April 2021
20 All months from January 2020 until now
21 No months from January 2020 until now
OTHOUT
Does that plan cover anyone living outside this household?
This question refers to (plan type)
1 Yes
2 No
OTHWHO
How old are they -- under 19, 19-25, or older than 25?
Mark all that apply
1 Under 19
2 19-25 years old
3 Older than 25
D-118 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
6.6 ADDITIONAL PLANS
ADDGAP
So far, I have recorded that (name/you) (was/were) NOT covered in (months of no
coverage). (Was/Were) (name/you) covered by any type of health plan or health
coverage in (those months/that month)?
READ IF NECESSARY: Do not include plans that cover only one type of care, such
as dental or vision plans.
1 Yes
2 No
ADDOTH
Other than (plan type[s]), (was/were) (name/you) covered by any other type of health
plan or health coverage AT ANY TIME between January 1, 2020 and now?
READ IF NECESSARY: Do not include plans that cover only one type of care, such
as dental or vision plans.
1 Yes
2 No
6.7 EMPLOYER-SPONSORED INSURANCE OFFERS AND TAKEUP
ESIINTRO
Earlier I recorded that (name/you) (is/are) employed but (does/do) not have health
coverage through (his/her/your) job.
1 Enter 1 to continue
OFFER
Does (employer name) offer a health insurance plan to any of its employees?
1 Yes
2 No
COULD
Could (name/you) be in this plan if (he/she/you) wanted to?
1 Yes
2 No
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-119
WNTAKE
Why (aren't/isn't) (you/he/she) in this plan?
Choose all that apply
1 Covered by another plan
2 Traded health insurance for higher pay
3 Too expensive
4 Don't need health insurance
5 Have a pre-existing condition
6 Haven't yet worked for this employer long enough to be covered
7 Contract or temporary employees not allowed in plan
8 Other/specify
WNTAKESPEC
Please specify other reason why not in the plan
WNELIG
Why not? Why can't (name/you) be in this plan if (he/she/you) wanted to?
Choose all that apply
1 Don't work enough hours per week or weeks per year
2 Contract or temporary employees not allowed in plan
3 Haven't yet worked for this employer long enough to be covered
4 Have a pre-existing condition
5 Too expensive
6 Other/specify
WNELIGSPEC
Please specify other reason why not eligible.
________________
6.8 HEALTH STATUS
HealthStatus_Intro
An important factor in evaluating a person's or family's health insurance situation
is their current health status and/or the current health status of other family
members.
Enter 1 to Continue
D-120 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
HealthStatus
Would you say (name's/your) health in general is excellent, very good, good, fair, or
poor?
1 Excellent
2 Very good
3 Good
4 Fair
5 Poor
6.9 MEDICAL EXPENDITURES
MedExp_Intro
Next I would like to ask about out-of-pocket medical expenses during 2020.
Press 1 to Continue
1 Enter 1 to continue
HIPREM
[Earlier I recorded that (your/name’s) employer or union did not pay for
(your/his/her) entire health insurance premium.] Last year, how much did
(you/name) pay out-of-pocket for ALL health insurance premiums [covering
(yourself/himself/herself) or others in the household]? Include both comprehensive
and supplemental plans (such as vision and dental insurance).
[What about (you/name)?]
[DO NOT include the $(amount reported) per month from Medicare deductions
from (Social Security/ Social Security Disability/ Social Security and Social Security
Disability) payments mentioned earlier.]
Enter dollar amount
________________
MEDAMT
?[F1]
Last year, how much was paid out-of-pocket for (your/name’s) OWN medical care,
such as copays for doctor and dentist visits, diagnostic tests, prescription medicine,
glasses and contacts, and medical supplies?
[What about (you/name)? Last year, how much was paid out-of-pocket for
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-121
(your/name’s) OWN medical care, such as copays for doctor and dentist visits,
diagnostic tests, prescription medicine, glasses and contacts, and medical supplies?]
Include any amount paid out-of-pocket on (your/his/her) behalf by anyone in this
household.
Enter dollar amount
________________
OTCMEDAMT
Last year, how much was paid out-of-pocket for (your/name’s) non-prescription
healthcare products such as vitamins, allergy and cold medicine, pain relievers, quit
smoking aids, AND anything else not yet reported?
[What about (you/name)? Last year, how much was paid out-of-pocket for
(your/name’s) non-prescription healthcare products such as vitamins, allergy and
cold medicine, pain relievers, quit smoking aids, AND anything else not yet
reported?]
Include any amount paid out-of-pocket on (your/his/her) behalf by anyone in this
household.
Enter dollar amount
If unsure of the amount, a best guess is acceptable.
________________
7 EMPLOYER’S PENSION PLAN
Q74a
Other than Social Security did (the/any) employer or union that (name/you) worked
for in 2020 have a pension or other type of retirement plan for any of its employees?
1 Yes
2 No
Q74b
(Were/Was) (name/you) included in that plan?
1 Yes
2 No
D-122 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
8 LOW INCOME ITEMS
8.1 SCHOOL LUNCHES
Q80
During 2020 which of the children ages 5 to 18 in this household usually ate a
complete lunch offered at school?
“Usually” refers to days where school was being held in person, such as during the
pre-pandemic period or in areas where schools remained open.
Probe: Anyone else?
Enter all that apply, separate using the space bar or a comma.
Enter 96 for All
Enter 0 for None
Q83
During 2020 which of the children in this household received free or reduced priced
lunches because they qualified for the Federal School Lunch Program?
Probe: Anyone else?
Enter all that apply, separate using the space bar or a comma.
Enter 96 for All
Enter 0 for None
ECVDMEAL
Did your children continue receiving free/reduced price meals through your school
or school district if schools were closed during the coronavirus pandemic?
This includes any food provided by the school, regardless of where and how it is
delivered.
1 Yes
2 No
3 Schools were not closed
8.2 PUBLIC HOUSING
Q85
Is this public housing, that is, is it owned by a local housing authority or other
public agency?
4 Yes
5 No
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-123
Q86
Are you paying lower rent because the Federal, State, or local government is paying
part of the cost?
1 Yes
2 No
SPHS8
Is this through Section 8 or through some other government program?
1 Section 8
2 Some other government program
3 Not sure
8.3 WOMEN, INFANTS, AND CHILDREN NUTRITION PROGRAM
(WIC)
SWRWIC
At any time during 2020, (was/were) (you/ anyone in this household) on WIC, the
Women, Infants, and Children Nutrition Program?
1 Yes
2 No
SWRW
Who received WIC for themselves or on behalf of a child?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone else?
8.4 ENERGY ASSISTANCE
Q93
The government has an energy assistance program which helps pay heating and
cooling costs. This assistance can be received directly by the household or it can be
paid directly to the electric company, gas company, or fuel dealer.
In 2020, (did you/did this household) receive assistance of this type from the federal,
state, or local government?
1 Yes
D-124 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
2 No
Q93pr1
Do you remember receiving an additional or unexpected check that was sent during
the year to help pay heating or cooling costs?
1 Yes
2 No
Q93pr2
Was it used to pay heating costs?
1 Yes
2 No
Q94
Altogether, how much energy assistance has been received in 2020?
Enter annual amount only
________________
Q94rn1
Could you tell me if you received:
less than $1,000
between $1,000 and $3,000
or over $3,000
in energy assistance during 2020?
1 Less than $1,000
2 Between $1,000 and $3,000
3 Over $3000
Q94rn2
Did you receive:
less than $100
between $100 and $500
or over $500
in energy assistance during 2020?
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-125
1 Less than $100
2 Between $100 and $500
3 Over $500
9 MIGRATION
9.1 1-YEAR MIGRATION
MIGSAM
(Were/Was) (you/reference person's name) living in this house (or apartment) one
year ago?
1 Yes, this house (apt)
2 No, different house in U.S.
3 No, outside the U.S.
MIGPLC
Where did (reference person's name/you) live one year ago?
Name of city/town/post office
Current: (city)
Enter correct city/town/post office or press ENTER for SAME
_______________
MIGSTA
Where did (reference person's name/you) live one year ago?
Name of State
Current: (state)
Enter W for person living on a ship at sea
Enter correct State or press ENTER for SAME
_______________
MIGZIP
Where did (reference person's name/you) live one year ago?
Zip Code
Current: (zip)
Enter correct Zip Code or press ENTER for SAME
_______________
MIGCLM
Did (reference person's name/you) live inside the city limits of (place name)?
D-126 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
1 Yes, inside city limits
2 No, outside city limits or post office name only
MIGCOU
What (county/parish) is (place name) in?
Enter "IND CITY" if an independent city, not a county
_____________________________________________
S_MIGCN1
What country did (reference person's name/you) live in one year ago?
MI1RES
What was (your/name’s) main reason for moving to this house (apartment)?
The answer categories are separated into the following groups:
FAMILY-RELATED REASONS* 1-3
EMPLOYMENT-RELATED REASONS 5-9
HOUSING-RELATED REASONS 10-15
OTHER REASONS 4, 16-20
*Family-related reasons only include family as defined by the Census Bureau. Family
consists of people who are related by birth, marriage, or adoption.
1 change in marital status
2 to establish own household
3 other family reason (specify)
4 relationship with unmarried partner (boy/girlfriend, fiancé, etc.)
5 new job or job transfer
6 to look for work or lost job
7 to be closer to work/easier commute
8 retired
9 other job-related reason (specify)
10 wanted to own home, not rent
11 wanted newer/better/larger house or apartment
12 wanted better neighborhood/less crime
13 cheaper housing
14 foreclosure/eviction
15 other housing reason (specify)
16 to attend or leave college
17 change of climate
18 health reasons
19 natural disaster (hurricane, tornado, etc.)
20 other reason (specify)
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-127
MI1s
What was the reason for moving?
_____________________________________________
MIGALL
There are (number) other persons in this household ages 1 year or over.
Did (all of these persons/this person) live with (reference person's name/you) (in this
house/in City, State/outside the U.S.) one year ago?
1 Yes, all lived with (reference person's name/you)
2 No, some or all did not live with (reference person's name/you)
MIGM
Which of the other members of this household did NOT live with (reference
person's name/you) one year ago?
PROBE: Anyone else?
Enter all that apply, separate using the space bar or a comma.
Enter Line Number(s)
NXTSAM
Did (name/you) live in this house (apartment) one year ago?
1 Yes , this house
2 No, different house in U.S.
3 No, outside the U.S.
NXTPLC
Where did (name/you) live one year ago?
Name of city/town/post office
Current: (city) Enter correct city/town/post office or
Press ENTER for SAME
_____________________________________________
NXTSTA
Where did (name/you) live one year ago?
Name of State
Current: (state)
D-128 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Enter correct State or press ENTER for SAME
_____________________________________________
NXTZIP
Where did (name/you) live one year ago?
Zip Code Current: (zip)
Enter correct zip code or
Press ENTER for SAME
_______________
NXTCLM
Did (name/you) live inside the city limits of (place name)?
1 Yes, inside city limits
2 No, outside city limits or post office name only
NXTCOU
What (county/parish) is (place name) in?
Enter "IND CITY" if an independent city, not a county
_____________________________________________
S_NXTCN1
What country did (name/you) live in one year ago?
NX1RES
What was (name’s/your) main reason for moving to this house (apartment)?
The answer categories are separated into the following groups:
FAMILY-RELATED REASONS* 1-3
EMPLOYMENT-RELATED REASONS 5-9
HOUSING-RELATED REASONS 10-15
OTHER REASONS 4, 16-20
*Family-related reasons only include family as defined by the Census Bureau. Family are
people who are related by birth, marriage, or adoption.
1 change in marital status
2 to establish own household
3 other family reason (specify)
4 relationship with unmarried partner (boy/girlfriend, fiancé, etc.)
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-129
5 new job or job transfer
6 to look for work or lost job
7 to be closer to work/easier commute
8 retired
9 other job-related reason (specify)
10 wanted to own home, not rent
11 wanted newer/better/larger house or apartment
12 wanted better neighborhood/less crime
13 cheaper housing
14 foreclosure/eviction
15 other housing reason (specify)
16 to attend or leave college
17 change of climate
18 health reasons
19 natural disaster (hurricane, tornado, etc.)
20 other reason (specify)
NX1OTH
What was the reason for moving?
_____________________________________________
SUNITS
Ask if necessary
How many housing units are in your building?
1 Only one
2 Two
3 Three or four
4 Five to nine
5 Ten or more
10 SUPPLEMENTAL POVERTY MEASURE
10.1 PROPERTY VALUE/PRESENCE OF MORTGAGE
VALPROP
About how much do you think this (house and lot/apartment/mobile home)
would sell for if it were for sale?
D-130 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Enter dollar amount
________________
VALPROPR
Could you tell me if you think this (house and lot/apartment/mobile home) would
sell for:
less than $100,000
between $100,000 and $250,000
between $250,000 and $500,000
or $500,000 or more?
1 Less than $100,000
2 Between $100,000 and $250,000
3 Between $250,000 and $500,000
4 $500,000 or more
MORTYN
Not counting home equity loans, do you or any other member of this household have
a mortgage, deed of trust, contract to purchase, or similar debt on THIS property?
1 Yes
2 No
SMORTYN
Do you or any member of this household have a second mortgage or a home equity
loan on THIS property?
1 Yes, home equity loan.
2 Yes, second mortgage.
3 Yes, second mortgage and home equity loan.
4 No
10.2 CHILD CARE
Q95
Now we want to ask about some of your expenses for children.
Did (you/ anyone in this household) PAY for the care of (your/their) (child/children)
while (you/they) worked in 2020?
Include: All child care expenses including preschool and nursery school expenses,
before and after school care, and summer care.
Do not include: cost of kindergarten or grade/elementary school.
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-131
1 Yes
2 No
Q95A
Which children needed care while their parents worked?
Enter all that apply, separate using the space bar or a comma.
Probe: Anyone else?
Enter 96 for All persons
Enter 0 if none
CCFREQ
What is the easiest way for you to tell us how much was paid for child care while
(you/they) worked in 2020: weekly, every other week, twice a month, monthly, or
yearly?
1 Weekly
2 Every other week
3 Twice a month
4 Monthly
7 Yearly
CCAMT
How much was paid (weekly/every other week/twice a month/monthly) for child
care?
Include child care payments made for all children in the household.
For example, if there are two adults in the household with childcare
expenses use the total paid by both adults. Do not try to separate
the payments. Record one total for the entire household.
________________
CCNUMPAY
How many (weekly/every other week/twice a month/monthly) payments did
(you/they) make during 2020?
(1-52), (1-26), (1-24), (1-12)
________________
CCTOT
D-132 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Then (you/they) paid $(amount) altogether in child care while (you/they) worked
during 2020. Does that sound about right?
1 Yes
2 No
CCEST
What is your best estimate of the correct amount (you/they) paid for child care
while (you/they) worked in 2020?
________________
10.3 CHILD SUPPORT PAID
CSPCHILD
(Do you/Does anyone in this household) have any children who lived elsewhere with
their other parent or guardian at anytime during 2020?
1 Yes
2 No
CSPWHO
Who had children who lived elsewhere? Anyone else?
Enter line number
Enter all that apply, separate using the space bar or a comma.
________________
CSPREQ
In 2020, did (name/you) pay any child support for children living elsewhere with
their other parent or guardian?
1 Yes
2 No
CSPAMT
How much child support did (name/you) pay in 2020?
Enter dollar amount
COUNT ALL FORMS OF CHILD SUPPORTS PAYMENTS, INCLUDING:
…PAYMENTS MADE DIRECTLY TO THE OTHER PARENT/GUARDIAN;
…PAYMENTS MADE THROUGH A COURT OR AGENCY; AND
…PAYMENTS WITHHELD FROM THIS PERSON'S PAYCHECK
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-133
D-134 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
10.4 STIMULUS PAYMENTS
ECVD_EIP
Since April 1, 2020, have you or anyone in your household received a “stimulus
payment,” that is the coronavirus (COVID-19) related Economic Impact Payment
from the Federal Government?
Do not include refunds on annual income taxes, unemployment compensation, or
payments from an employer
1 Yes
2 No
ECVD_COV
Who was the stimulus payment for?
Enter line number
Enter all that apply, separate using the space bar or a comma.
________________
ECVD_AMT
What was the amount of the stimulus payment(s) that you received for all the
covered adults and children since April 1, 2020?
Enter dollar amount
________________
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-135
Attachment A. Income Range Follow-up Questions
The three levels of income range follow-up questions are:
1) High-range income follow-up brackets:
• Less than $45,000
• Between $45,000 and $60,000
• $60,000 or more
If the respondent selects the lowest bracket (Less than $45,000), then the following
ranges will be presented to the respondent:
• Less than $15,000
• Between $15,000 and $30,000
• $30,000 or more
2) Mid-range income follow-up questions:
• Less than $10,000
• Between $10,000 and $20,000
• $20,000 or more
If the respondent selects the lowest bracket (Less than $10,000), then the following
ranges will be presented to the respondent:
• Less than $1,000
• Between $1,000 and $5,000
• $5,000 or more
3) Low-range income follow-up questions:
• Less than $1,000
• Between $1,000 and $3,000
• $3,000 or more
If the respondent selects the lowest bracket (Less than $1,000), then the following
ranges will be presented to the respondent:
• Less than $100
• Between $100 and $500
• $500 or more
D-136 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
Attachment B. Income Source and Follow-Up Question Range Level
The following table displays the income source and range level used in the follow-up range
questions.
Source Range
Income Source Range Screen
Screen Level
Q48AA Earnings from Longest Job PUQ48AARN1 High
Q48AAD Longest Job: tips, bonuses, etc. PUQ48AADRN1 Low
Q48B Earnings from Business/ Farm PUQ48BRN1 High
Q48BAD Business/ Farm: tips, bonuses, etc. PUQ48BADRN1 Low
Q49B1D Earnings from All Other Employers PUQ49B1DRN1 Mid
Q49B1A All Other Employers: tips, bonuses, etc. PUQ49B1ARN1 Low
Q49B2 Earnings from Any Other Business PUQ49B2RN1 Mid
Q49B4 Earnings from Any Other Farm PUQ49B4RN1 Mid
Q51A1 State or Federal Unemployment Compensation PUQ51A11R1 Mid
Q51A2 Supplemental Unemployment Benefits PUQ51A21R1 Mid
Q51A3 Union Unemployment or Strike Benefits PUQ51A31R1 Mid
Q52A Worker's Compensation PUQ52CR1 Mid
Q56A Social Security PUQ656DRN1 Mid
Q56F Social Security for Children PUQ56IRN1 Mid
Q57A Supplemental Security Income (SSI) PUQ57CRN1 Mid
Q57D SSI for Children PUQ57IRN1C Mid
Disability Income (source 1) PUQ61E1RN1
Q59AR Mid
Disability Income (source 2) PUQ61E2RN1
Veteran's Payments (source 1) PUQ60V1RN1
Q60A88 Mid
Veteran's Payments (source 2) PUQ60V2RN1
Survivor Benefits (source 1) PUQ58E1RN1
Q58A Survivor Benefits (source 2) PUQ58E2RN1 Mid
Survivor Benefits (source 3) PUQ58E3RN1
Q59A88,
Public Assistance/ TANF PUQ59ERN1 Low
Q59A89
Q87R,
Food Assistance/ SNAP HUQ90RN1 Low
Q87AR
Pensions (source 1) PUQ62E1RN1
Q62AR Mid
Pensions (source 2) PUQ62E2RN1
Q96AR Annuities PUANNEWRN1 Mid
Retirement Withdrawals/Distributions (source 1) PUDSTNEWR1
Q98Ar Mid
Retirement Withdrawals/Distributions (source 2) PUDSTNEWR3
Retirement Interest (source 1) PURETNEWRN1
Q97Cr Low
Retirement Interest (source 2) PURETNEWRN3
Q99ARa Checking Account Interest PUQ63C1B Low
Q99ARb Savings Account Interest PUQ63D1B Low
Q99ARc Money Market Account Interest PUQ63e1B Low
Q99ARd CD Interest PUQ63f1B Low
Q99ARe Saving Bonds Interest PUQ63g1b Low
Q99ARe Stock Dividends PUQ63h1b Low
Q99ARg Any Other Interest PUQ63i1b Low
FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE D-137
Source Range
Income Source Range Screen
Screen Level
PUCAPGDAMTRN
CAPGDIS Nonretirement Interest Mid
1
Q65A1,
Q65A2, Property Income PUQ65CRN1 Mid
Q65A3
Pell Grant PUQ69FRN1
Q66B Low
Other Education Assistance PUQ66HRN1
Q70A Child Support PUQ70C1RN1 Mid
Q72A Regular Financial Assistance PUQ72CRN1 Low
Q73A1 Other Money Income PUQ73RN1 Low
Q93 Energy Assistance HUQ94RN1 Low
D-138 FASCIMILE OF ASEC SUPPLEMENT QUESTIONNAIRE
APPENDIX E
SPECIFIC METROPOLITAN IDENTIFIERS
(Beginning August 2015)
List 1: FIPS Metropolitan Area (CBSA) Codes
List 2: FIPS Consolidated Statistical Area (CSA) Codes
List 3: Individual Principal Cities
List 4: FIPS County Codes
Unless otherwise noted, all definitions for geographic areas on these lists reflect the February 28,
2013 OMB definitions.
Care should be taken when tallying smaller areas, such as smaller cities, counties and
metropolitan areas during the time frame of May 2014-July 2015. This is because we will be
phasing in a new set of geographic areas to coincide with the phase-in of a new sample based on
the results of the 2010 Census. Some smaller areas will be phasing-out or phasing-in during this
time frame and estimates for such areas will fluctuate wildly during this time period and not be
as accurate as they will be prior to May 2014 or after July 2015.
SPECIFIC METROPOLITAN AREAS E-1
LIST 1: FIPS Metropolitan Area (CBSA) Codes
Metropolitan Areas are defined using February 28, 2013 OMB definitions.
FIPS Code Metropolitan (CBSA) TITLE
10180 Abilene, TX
10420 Akron, OH
10580 Albany-Schenectady-Troy, NY
10740 Albuquerque, NM
10900 Allentown-Bethlehem-Easton, PA-NJ
11100 Amarillo, TX
11460 Ann Arbor, MI
11540 Appleton, WI
11700 Asheville, NC
12020 Athens-Clarke County, GA
12060 Atlanta-Sandy Springs-Roswell, GA
12100 Atlantic City-Hammonton, NJ
12220 Auburn-Opelika, AL
12260 Augusta-Richmond County, GA-SC
12420 Austin-Round Rock, TX
12540 Bakersfield, CA
12580 Baltimore-Columbia-Towson, MD
12620 Bangor, ME
12700 Barnstable, MA
12940 Baton Rouge, LA
12980 Battle Creek, MI
13140 Beaumont-Port Arthur, TX
13460 Bend-Redmond, OR
13740 Billings, MT
13780 Binghamton, NY
13820 Birmingham-Hoover, AL
13980 Blacksburg—Christiansburg-Radford, VA
14010 Bloomington, IL
14020 Bloomington, IN
14260 Boise City, ID
14460 Boston-Cambridge-Newton, MA-NH
14500 Boulder, CO
14540 Bowling Green, KY
14860 Bridgeport-Stamford-Norwalk, CT
15180 Brownsville-Harlingen, TX
15380 Buffalo-Cheektowaga-Niagara Falls, NY
15500 Burlington, NC
15540 Burlington-South Burlington, VT
15680 California-Lexington Park, MD
15940 Canton-Massillon, OH
E-2 SPECIFIC METROPOLITAN AREAS
15980 Cape Coral-Fort Myers, FL
16060 Carbondale-Marion, IL
16300 Cedar Rapids, IA
16540 Chambersburg-Waynesboro, PA
16580 Champaign-Urbana, IL
16620 Charleston, WV
16700 Charleston-North Charleston, SC
16740 Charlotte-Concord-Gastonia, NC-SC
16820 Charlottesville, VA
16860 Chattanooga, TN-GA
16980 Chicago-Naperville-Elgin, IL-IN-WI
17020 Chico, CA
17140 Cincinnati, OH-KY-IN
17300 Clarksville, TN-KY
17420 Cleveland, TN
17460 Cleveland-Elyria, OH
17660 Coeur d’Alene, ID
17780 College Station-Bryan, TX
17820 Colorado Springs, CO
17900 Columbia, SC
17980 Columbus, GA-AL
18140 Columbus, OH
18580 Corpus Christi, TX
19100 Dallas-Fort Worth-Arlington, TX
19300 Daphne-Fairhope-Foley, AL
19340 Davenport-Moline-Rock Island, IA-IL
19380 Dayton, OH
19660 Deltona-Daytona Beach-Ormond Beach, FL
19740 Denver-Aurora-Lakewood, CO
19780 Des Moines-West Des Moines, IA
19820 Detroit-Warren-Dearborn, MI
20100 Dover, DE
20500 Durham-Chapel Hill, NC
20700 East Stroudsburg, PA
21140 Elkhart-Goshen, IN
21340 El Paso, TX
21500 Erie, PA
21660 Eugene, OR
21780 Evansville, IN-KY
22020 Fargo, ND-MN
22140 Farmington, NM
22180 Fayetteville, NC
22220 Fayetteville-Springdale-Rogers, AR-MO
22420 Flint, MI
22500 Florence, SC
22520 Florence-Muscle Shoals, AL
SPECIFIC METROPOLITAN AREAS E-3
22660 Fort Collins, CO
22900 Fort Smith, AR-OK
23060 Fort Wayne, IN
23420 Fresno, CA
23540 Gainesville, FL
23580 Gainesville, GA
24020 Glen Falls, NY
24140 Goldsboro, NC
24340 Grand Rapids-Wyoming, MI
24540 Greeley, CO
24580 Green Bay, WI
24660 Greensboro-High Point, NC
24780 Greenville, NC
24860 Greenville-Anderson-Mauldin, SC
25180 Hagerstown-Martinsburg, MD-WV
25260 Hanford-Corcoran, CA
25420 Harrisburg-Carlisle, PA
25540 Hartford-West Hartford-East Hartford, CT
25860 Hickory-Morganton-Lenoir, NC
25940 Hilton Head Island-Bluffton-Beaufort, SC
26420 Houston-Baytown-Sugar Land, TX
26580 Huntington-Ashland, WV-KY-OH
26620 Huntsville, AL
26820 Idaho Falls, ID
26900 Indianapolis, IN
26980 Iowa City, IA
27100 Jackson, MI
27140 Jackson, MS
27260 Jacksonville, FL
27340 Jacksonville, NC
27500 Janesville-Beloit, WI
27740 Johnson City, TN
27780 Johnstown, PA
27980 Kahului-Wailuku-Lahaina, HI
28020 Kalamazoo-Portage, MI
28140 Kansas City, MO-KS
28420 Kennewick-Richland, WA
28660 Killeen-Temple-Fort Hood, TX
28700 Kingsport-Bristol, TN-VA
28940 Knoxville, TN
29180 Lafayette, LA
29200 Lafayette-West Lafayette, IN
29340 Lake Charles, LA
29460 Lakeland-Winter Haven, FL
29540 Lancaster, PA
29620 Lansing-East Lansing, MI
E-4 SPECIFIC METROPOLITAN AREAS
29700 Laredo, TX
29740 Las Cruces, NM
29820 Las Vegas-Paradise, NV
30340 Lewiston-Auburn, ME
30460 Lexington-Fayette, KY
30780 Little Rock-North Little Rock, AR
30980 Longview, TX
31080 Los Angeles-Long Beach-Anaheim, CA
31140 Louisville, KY-IN
31180 Lubbock, TX
31420 Macon, GA
31540 Madison, WI
31700 Manchester-Nashua, NH
32580 McAllen-Edinburg-Mission, TX
32780 Medford, OR
32820 Memphis, TN-MS-AR
33100 Miami-Fort Lauderdale-West Palm Beach, FL
33340 Milwaukee-Waukesha-West Allis, WI
33460 Minneapolis-St Paul-Bloomington, MN-WI
33660 Mobile, AL
33700 Modesto, CA
33740 Monroe, LA
33780 Monroe, MI
33860 Montgomery, AL
34060 Morgantown, WV
34580 Mount Vernon-Anacortes, WA
34740 Muskegon-Norton Shores, MI
34820 Myrtle Beach-Conway-North Myrtle Beach, SC-NC
34940 Naples-Immokalee-Marco Island, FL
34980 Nashville-Davidson-Murfreesboro, TN
35300 New Haven-Milford, CT
35380 New Orleans-Metairie, LA
35620 New York-Newark- Jersey City, NY-NJ-PA (White Plains central city
recoded to balance of metropolitan)
35660 Niles-Benton Harbor, MI
35840 North Port-Sarasota-Bradenton, FL
35980 Norwich-New London, CT
36100 Ocala, FL
36220 Odessa, TX
36260 Ogden-Clearfield, UT
36420 Oklahoma City, OK
36540 Omaha-Council Bluffs, NE-IA
36740 Orlando, FL
36780 Oshkosh-Neenah, WI
37100 Oxnard-Thousand Oaks-Ventura, CA
37340 Palm Bay-Melbourne-Titusville, FL
SPECIFIC METROPOLITAN AREAS E-5
37460 Panama City, FL
37860 Pensacola-Ferry Pass-Brent, FL
37900 Peoria, IL
37980 Philadelphia-Camden-Wilmington, PA-NJ-DE
38060 Phoenix-Mesa-Scottsdale, AZ
38220 Pine Bluff, AR
38300 Pittsburgh, PA
38860 Portland-South Portland, ME
38900 Portland-Vancouver-Hillsboro, OR-WA
38940 Port St. Lucie-Fort Pierce, FL
39140 Prescott, AZ
39300 Providence-Warwick, RI-MA
39340 Provo-Orem, UT
39540 Racine, WI
39580 Raleigh, NC
39740 Reading, PA
39820 Redding, CA
40060 Richmond, VA
40140 Riverside-San Bernardino-Ontario, CA
40220 Roanoke, VA
40380 Rochester, NY
40420 Rockford, IL
40900 Sacramento--Arden-Arcade–Roseville, CA
40980 Saginaw, MI
41100 St. George, UT
41180 St. Louis, MO-IL
41420 Salem, OR
41500 Salinas, CA
41540 Salisbury, MD
41620 Salt Lake City, UT
41700 San Antonio, TX
41740 San Diego-Carlsbad-San Marcos, CA
41860 San Francisco-Oakland-Fremont, CA
41940 San Jose-Sunnyvale-Santa Clara, CA
42020 San Luis Obispo-Paso Robles, CA
42100 Santa Cruz-Watsonville, CA
42140 Santa Fe, NM
42200 Santa Maria-Santa Barbara, CA
42220 Santa Rosa-Petaluma, CA
42340 Savannah, GA
42540 Scranton--Wilkes-Barre, PA
42660 Seattle-Tacoma-Bellevue, WA
43300 Sherman-Dennison, TX
43340 Shreveport-Bossier City, LA
43620 Sioux Falls, SD
43780 South Bend-Mishawaka, IN-MI
E-6 SPECIFIC METROPOLITAN AREAS
43900 Spartanburg, SC
44060 Spokane-Spokane Valley, WA
44100 Springfield, IL
44140 Springfield, MA
44180 Springfield, MO
44700 Stockton-Lodi, CA
45060 Syracuse, NY
45220 Tallahassee, FL
45300 Tampa-St. Petersburg-Clearwater, FL
45460 Terre Haute, IN
45780 Toledo, OH
45820 Topeka, KS
45940 Trenton, NJ
46060 Tucson, AZ
46140 Tulsa, OK
46340 Tyler, TX
46520 Urban Honolulu, HI
46540 Utica-Rome, NY
46700 Vallejo-Fairfield, CA
47220 Vineland-Bridgeton, NJ
47260 Virginia Beach-Norfolk-Newport News, VA-NC
47300 Visalia-Porterville, CA
47380 Waco, TX
47580 Warner Robins, GA
47900 Washington-Arlington-Alexandria, DC-VA-MD-WV
47940 Waterloo-Cedar Falls, IA
48060 Watertown-Fort Drum, NY
48140 Wausau, WI
48620 Wichita, KS
48660 Wichita Falls, TX
48700 Williamsport, PA
49020 Winchester, VA-WV
49180 Winston-Salem, NC
49340 Worcester, MA-CT
49620 York-Hanover, PA
49660 Youngstown-Warren-Boardman, OH-PA
49740 Yuma, AZ
SPECIFIC METROPOLITAN AREAS E-7
LIST 2: FIPS Consolidated Statistical
Area (CSA) Codes
The following CSA’s (Combined Statistical Areas) contain 2 or more Metropolitan
Statistical Areas that are in the CPS sample and are individually identified on the
public use files. Micropolitan Statistical Areas are not specifically identified in the CPS
and are not used to identify CSA’s nor are parts of such areas coded as belonging to CSA’s.
The component CBSA’s identified on the CPS Public Use Files are listed for each CSA.
CSA CBSA CSA Title
Code Code Component Parts (CBSA’s)
104 Albany-Schenectady, NY
10580 Albany-Schenectady-Troy, NY
24020 Glen Falls, NY
106 Albuquerque-Santa Fe-Las Vegas, NM
10740 Albuquerque, NM
42140 Santa Fe, NM
118 Appleton-Oshkosh-Neenah, WI
11540 Appleton, WI
36780 Oshkosh-Neenah, WI
122 Atlanta--Athens-Clarke County—Sandy Springs, GA
12020 Athens-Clarke County, GA
12060 Atlanta-Sandy Springs-Roswell, GA
23580 Gainesville, GA
148 Boston-Worcester-Providence, MA-RI-NH-CT
12700 Barnstable Town, MA
14460 Boston-Cambridge-Newton-MA-NH
31700 Manchester-Nashua, NH
39300 Providence-Warwick, RI-MA
49340 Worcester, MA-CT
162 Cape Coral-Fort Myers-Naples, FL
15980 Cape Coral, FL
34940 Naples-Immokalee-Marco Island, FL
E-8 SPECIFIC METROPOLITAN AREAS
168 Cedar Rapids-Iowa City, IA
16300 Cedar Rapids, IA
26980 Iowa City, IA
170 Charleston-Huntington-Ashland, WV-OH-KY
16620 Charleston, WV
26580 Huntington-Ashland, WV-KY-OH
174 Chattanooga-Cleveland-Dalton, TN-GA
16860 Chattanooga, TN-GA
17420 Cleveland, TN
184 Cleveland-Akron-Canton, OH (part)
10420 Akron, OH
15940 Canton-Massillon, OH
17460 Cleveland-Elyria-Mentor, OH
194 Columbus-Auburn-Opelika, GA-AL
12220 Auburn-Opelika, AL
17980 Columbus, GA
206 Dallas-Fort Worth, TX-OK
19100 Dallas-Fort Worth-Arlington, TX
43300 Sherman-Dennison, TX
216 Denver-Aurora, CO
14500 Boulder, CO
19740 Denver-Aurora-Lakewood, CO
24540 Greeley, CO
220 Detroit-Warren-Ann Arbor, MI
11460 Ann Arbor, MI
19820 Detroit-Warren-Dearborn, MI
22420 Flint, MI
33780 Monroe, MI
238 El Paso-Las Cruses, TX-NM
21340 El Paso, TX
29740 Las Cruses, NM
266 Grand Rapids-Wyoming-Muskegon, MI
24340 Grand Rapids-Wyoming, MI
34740 Muskegon-Norton Shores, MI
SPECIFIC METROPOLITAN AREAS E-9
268 Greensboro--Winston-Salem–High Point, NC
15500 Burlington, NC
24660 Greensboro-High Point, NC
49180 Winston-Salem, NC
273 Greenville-Spartanburg-Anderson, SC
24860 Greenville-Anderson-Mauldin, SC
43900 Spartanburg, SC
276 Harrisburg-York-Lebanon, PA
25420 Harrisburg-Carlisle, PA
49620 York-Hanover, PA
278 Hartford-West Hartford, CT
25540 Hartford-West Hartford-East Hartford, CT
35980 Norwich-New London, CT
304 Johnson City-Kingsport-Bristol, TN-VA (part)
27740 Johnson City, TN
28700 Kingsport-Bristol, TN-VA
310 Kalamazoo-Battle Creek-Portage, MI
12980 Battle Creek, MI
28020 Kalamazoo-Portage, MI
340 Little Rock-North Little Rock, AR
30780 Little Rock-North Little Rock-Conway, AR
38220 Pine Bluff, AR
348 Los Angeles-Long Beach-Riverside, CA
31080 Los Angeles-Long Beach-Santa Ana, CA
37100 Oxnard-Thousand Oaks-Ventura, CA
40140 Riverside-San Bernardino-Ontario, CA
356 Macon-Warner Robins-Fort Valley, GA
31420 Macon, GA
47580 Warner Robins, GA
357 Madison-Janesville-Beloit, WI
27500 Janesville-Beloit, WI
31540 Madison, WI
370 Miami-Fort Lauderdale-Port St. Lucie, FL
33100 Miami-Fort Lauderdale-West Palm Beach, FL
38940 Port St. Lucie-Fort Pierce, FL
E-10 SPECIFIC METROPOLITAN AREAS
376 Milwaukee-Racine-Waukesha, WI
33340 Milwaukee-Waukesha-West Allis, WI
39540 Racine, WI
380 Mobile-Daphne-Fairhope, AL
19300 Daphne-Fairhope, AL
33660 Mobile, AL
408 New York-Newark-Bridgeport, NY-NJ-CT-PA
10900 Allentown-Bethlehem-Easton, PA-NJ
14860 Bridgeport-Stamford-Norwalk, CT
20700 East Stroudsburg, PA
35300 New Haven-Milford, CT
35620 New York-Newark-Jersey City, NY-NJ-PA
45940 Trenton, NJ
422 Orlando-Deltona-Daytona Beach, FL
19660 Deltona-Daytona Beach-Ormond Beach, FL
36740 Orlando-Kissimmee-Sanford, FL
428 Philadelphia-Reading-Camden, PA-NJ-DE-MD
12100 Atlantic City-Hammonton, NJ
20100 Dover, DE
37980 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
39740 Reading, PA
47220 Vineland-Bridgeton, NJ
438 Portland-Lewiston-South Portland, ME
30340 Lewiston-Auburn, ME
38860 Portland-South Portland, ME
440 Portland-Vancouver-Salem, OR-WA
38900 Portland-Vancouver-Hillsboro, OR-WA
41420 Salem, OR
450 Raleigh-Durham-Cary, NC
20500 Durham-Chapel Hill, NC
39580 Raleigh, NC
482 Salt Lake City-Provo-Orem, UT
36260 Ogden-Clearfield, UT
39340 Provo-Orem, UT
41620 Salt Lake City, UT
SPECIFIC METROPOLITAN AREAS E-11
Full text shows the first 300 of 387 pages; the complete document is the PDF above.File and source
- File
- ntiality-protection-sampling-error-nonsampling-error-and-definitions-is-available-at-https-www2-census-gov-programs-surv.pdf
- Size
- 3,258,902 bytes
- SHA-256
- 6ceb33c160cec9ae8ddbe4fa39d4f96b82044c7e37f70a082824d0edce9af359
- Original
- www2.census.gov