Current Population Survey, November 2023 Computer and Internet

CURRENT POPULATION SURVEY, November 2023

Computer and Internet Use Supplement

TECHNICAL DOCUMENTATION

CPS—23

This file documentation consists of the following materials:

Attachment 1 Abstract

Attachment 2 Overview - Current Population Survey

Attachment 3 Overview – November 2023

Computer and Internet Use Supplement

Attachment 4 Glossary

Attachment 5 How to Use the Record Layout

Attachment 6 Basic CPS Record Layout

Attachment 7 Current Population Survey, November 2023

Computer and Internet Use Supplement Record

Layout

Attachment 8 Current Population Survey, November 2023

Computer and Internet Use Supplement

Questionnaire

Attachment 9 Industry Classification Codes

Attachment 10 Occupation Classification Codes

Attachment 11 Specific Metropolitan Identifiers

Attachment 12 Topcoding of Usual Hourly Earnings

Attachment 13 Tallies of Unweighted Counts

Attachment 14 Countries and Areas of the World

Attachment 15 Allocation Flags

Attachment 16 Source and Accuracy of the November 2023

Computer and Internet Use Supplement Data

Attachment 17 User Notes

NOTE

The U.S. Census Bureau reviewed this data product for unauthorized disclosure of confidential

information and approved the disclosure avoidance practices applied to this release.

CBDRB‑FY24‑0274.

Questions about the documentation and subject matter should be directed to the CPS Branch,

U.S. Census Bureau, Washington, D.C. Phone: (301) 763-3806, or [email protected].

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ATTACHMENT 2

OVERVIEW

Current Population Survey

Introduction

The Current Population Survey (CPS) is the source of the official government statistics on employment and

unemployment. The CPS has been conducted monthly for over 60 years. Currently, we obtain interviews from

about 44,000 households monthly, scientifically selected on the basis of area of residence to represent the nation as

a whole, individual states, and other specified areas. Each household is interviewed once a month for four

consecutive months one year, and again for the corresponding time period a year later. This technique enables us to

obtain reliable month-to-month and year-to-year comparisons at a reasonable cost while minimizing the

inconvenience to any one household.

Although the main purpose of the survey is to collect information on the employment situation, a very important

secondary purpose is to collect information on demographic characteristics such as age, sex, race, marital status,

educational attainment, family relationship, occupation, and industry. From time to time, additional questions are

included on health, education, income, and previous work experience. The statistics resulting from these questions

serve to update similar information collected once every 10 years through the decennial census, and are used by

government policymakers and legislators as important indicators of our nation's economic situation and for planning

and evaluating many government programs.

The CPS provides current estimates of the economic status and activities of the population of the United States.

Because it is not possible to develop one or two overall figures (such as the number of unemployed) that would

adequately describe the whole complex of labor market phenomena, the CPS is designed to provide a large amount

of detailed and supplementary data. Such data are made available to meet a wide variety of needs on the part of

users of labor market information.

Thus, the CPS is the only source of monthly estimates of total employment (both farm and nonfarm); nonfarm self-

employed persons, domestics, and unpaid helpers in nonfarm family enterprises; wage and salaried employees; and,

finally, estimates of total unemployment.

It provides the only available distribution of workers by the number of hours worked (as distinguished from

aggregate or average hours for an industry), permitting separate analyses of part-time workers, workers on overtime,

etc. The survey is also the only comprehensive current source of information on the occupation of

workers and the industries in which they work. Information is available from the survey not only for persons

currently in the labor force but also for those who are outside the labor force. The characteristics of such persons -

whether married women with or without young children, disabled persons, students, older retired workers, etc., can

be determined. Information on their current desire for work, their past work experience, and their intentions as to

job seeking are also available.

For a more detailed discussion about the basic labor force data gathered on a monthly basis in the CPS survey, see

"Explanatory Notes and Estimates of Error" in any recent issue of the Employment and Earnings, a Bureau of Labor

Statistics periodical. This source is referred to on the next page.

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CPS Sample Design

The Current Population Survey (CPS) is a monthly survey designed primarily to produce national and state estimates

of labor force characteristics of the civilian noninstitutional population (CNP) 16 years of age and older. It is

conducted in approximately 60,000 eligible housing units throughout the United States. (Note: ‘Eligible’can be

simplistically defined as an occupied housing unit having at least one person in the CNP.) This sample includes

10,000 eligible housing units from the monthly supplementary sample to improve state-level estimates of health

insurance coverage for low-income children, also known as the CHIP expansion. This supplementary sample has

been part of the official CPS since July 2001. Thirty-two states plus the District of Columbia contain this

supplementary sample each month.

The CPS sample is based on information from the 2010 Decennial Census, in accordance with usual practice.

Historically, the CPS sample has been redesigned after each Decennial Census.

The CPS sample is a probability sample based on a stratified two-stage sampling scheme: selection of sample

primary sampling units (PSUs) and selection of sample housing units within those PSUs. In general, the CPS sample

is selected from lists of addresses obtained from the Master Address File (MAF) with updates from the United States

Postal Service (USPS) twice a year. The MAF is the Census Bureau’s permanent list of addresses, including their

geographic locations, for individual living quarters. It is continuously maintained through partnerships with the

USPS; with Federal, State, regional, and local agencies; and with the private sector, and it is used as a sample frame

by many Census Bureau demographic surveys.

Approximately 72,000 housing units are assigned for interview each month, of which about 60,000 are occupied

and thus eligible for interview. The remainder are units found to be destroyed, vacant, converted to nonresidential

use, containing persons whose usual place of residence is elsewhere, or ineligible for other reasons. Of the 60,000

occupied housing units, approximately 10 percent are not interviewed in a given month due to temporary absence

(vacation, etc.), the residents are not found at home after repeated attempts, inability of persons contacted to

respond, unavailability for other reasons, and refusals to cooperate. The interviewed households contain

approximately 100,000 persons 15 years old and over, approximately 24,000 children 0-14 years old, and about

400 Armed Forces members living with civilians either on or off base within these households. A more precise

explanation regarding the CPS sample design is provided in "Explanatory Notes and Estimates of Error:

Household Data - Sampling" in any issue of Employment and Earnings.

Relationship of Current Population Survey Files to Publications

Each month, a significant amount of information about the labor force is published by the Bureau of Labor

Statistics in the Employment and Earnings and Monthly Labor Review reports.

As mentioned previously, the CPS also serves as a vehicle for supplemental inquiries on subjects other than

employment, which are periodically added to the questionnaire. From the basic and supplemental data, the Bureau

of the Census issues three series of publications under the general title Current Population Reports:

P-20 Population Characteristics

P-23 Special Studies

P-60 Consumer Income

Geographic Limitations

The CPS sample was selected so that specific reliability criteria were met nationally, for each of the 50 States and for

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the District of Columbia. Since 1985, these reliability criteria have been maintained through periodic additions

and deletions in the State samples. Estimates formed for geographic areas identified on the microdata file which are

smaller than states are not as reliable.

Weights

Under the estimating methods used in the CPS, all of the results for a given month become available simultaneously

and are based on returns for the entire panel of respondents. The CPS estimation procedure involves weighting the

data from each sample person. The base weight, which is the inverse of the probability of the person being in the

sample, is a rough measure of the number of actual persons that the sample person represents. Almost all sample

persons in the same state have the same base weight, but the weights across states are different. Selection

probabilities may also differ for some sample areas due to field subsampling, which is done when areas selected for

the sample contain many more households than expected. The base weights are then adjusted for noninterview, and

the ratio estimation procedure is applied.

1.

Noninterview adjustment. The weights for all interviewed households are adjusted to the extent needed

to account for occupied sample households for which no information was obtained because of absence,

impassable roads, refusals, or unavailability of the respondent for other reasons. This noninterview

adjustment is made separately for clusters of similar sample areas that are usually, but not necessarily,

contained within a state. Similarity of sample areas is based on Core-Based Statistical Area (CBSA) status

and size. Within each cluster, there is a further breakdown by residence. Each CBSA cluster is split by

"principal city" and "balance of the CBSA." The proportion of occupied sample households not

interviewed fluctuates around 8 percent depending on weather, vacations, etc.

2.

Ratio estimates. The distribution of the population selected for the sample may differ somewhat, by

chance, from that of the population as a whole in such characteristics as age, race, sex, and state of

residence. Because these characteristics are closely correlated with labor force participation and other

principal measurements made from the sample, the survey estimates can be substantially improved when

weighted appropriately by the known distribution of these population characteristics. This is accomplished

through two stages of ratio adjustment as follows:

a.

First-stage ratio estimate. The purpose of the first-stage ratio adjustment is to reduce the contribution

to variance that results from selecting a sample of PSUs rather than drawing sample households from

every PSU in the nation. This adjustment is made to the CPS weights in two race cells: black and

nonblack; it is applied only to PSUs that are nonself-representing and for those states that have a

substantial number of black households. The procedure corrects for differences that existed in each

state cell at the time of the 2000 census between 1) the race distribution of the population in sample

PSUs and 2) the race distribution of all PSUs (both 1 and 2 exclude self-representing PSUs).

b.

Second-stage ratio estimate. This procedure substantially reduces the variability of estimates and

corrects, to some extent, for CPS undercoverage. The CPS sample weights are adjusted to ensure that

sample-based estimates of population match independent population controls. Three sets of controls

are used:

1)

51 state controls of the civilian noninstitutional population 16 years of age and older

2)

national civilian noninstitutional population controls for 14 hispanic and 5 nonhispanic age-sex

categories

3)

national civilian noninstitutional population controls for 66 white, 42 black, and 10 "other" age-

sex categories

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The independent population controls are prepared by projecting forward the resident population as

enumerated on April 1, 2000. The projections are derived by updating demographic census data

with information from a variety of other data sources that account for births, deaths, and net

migration. Estimated numbers of resident Armed Forces personnel and institutionalized persons

reduce the resident population to the civilian noninstitutional population. Estimates of net census

undercount, determined from the Post Enumeration Survey, are added to the population

projections. Prior to January 2003, the projections were based on earlier censuses, and prior to

January 1994, there was no correction for census undercount. A summary of the current

procedures used to make population projections is given in “Revisions in the Current Population

Survey Effective January 2003" in the January 2003 issue of Employment and Earnings.

Comparability of CPS from Microdata Files with Published Sources

Although total estimates of the total population will equal published estimates, labor force estimates produced from

a microdata file may not be directly comparable or identical with the published nonseasonally adjusted labor force

data. The official labor force statistics published by the Bureau of Labor Statistics (BLS) are calculated using the

CPS composite weight (PWCMPWGT). Anyone wanting to replicate not seasonally adjusted BLS estimates should

use this weight. However, not all estimates made from a public use file will match such weighted published

estimates. This is because of various steps taken in the creation of CPS public use files to protect the confidentiality

of CPS respondents. Top side estimates for most major demographic and economic categories such as age, race,

gender and major labor force status will agree with the published totals; however, estimates for small

groups/combinations of these characteristics will differ. The same is true for any estimates for any demographic or

labor force characteristic not listed above. Such estimates will be similar but not identical.

Another factor also inhibits microdata comparison with published labor force data. This is the seasonal adjustment

that is applied to many published statistics. This adjustment is used to adjust for normal seasonal variations to help

distinguish the underlying economic situation in month-to-month changes and is not reflected in any of the weights

or variables included on the public use files.

Shown below are data from January and July 2015 which demonstrate how estimates compiled using the final

weights from the microdata file may differ from the published composited estimates, with and without seasonal

adjustment. Note that the composite estimation procedure was not used for estimates published from January 1994

to May 1994. For a further description of both the composite estimator and seasonal adjustment, see the most recent

of the CPS Technical Paper (66 or 77).

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Comparison of CPS Estimates from Microdata Files with Published Sources

Civilian

Not in

Noninstitutional

Labor

Population

Force

Employed

Unemployed

Force

-----------------------------------------------------------------------------------------------------------------------------------------

January 2015

Data (000's)

Final Weights

Composited

249,723 156,311 146,658 9,653 93,412

(Not Seasonally

Adjusted)

249,723

156,050

146,552

9,498

93,674

Composited

(Seasonally

Adjusted)

249,723

157,180

148,201

8,979

92,544

-----------------------------------------------------------------------------------------------------------------------------------------

July 1993

Data (000's)

Final Weights

Composited

250,876 159,112 150,176 8,936 91,764

(Not Seasonally

Adjusted)

250,876

158,527

149,722

8,805

92,349

Composited

(Seasonally

Adjusted)

250,876

157,106

148,840

8,266

93,770

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ATTACHMENT 3

OVERVIEW

November 2023: Computer and Internet Use Supplement

General

The November 2023 Computer and Internet Use Supplement was conducted as a supplement to that

month's Current Population Survey (CPS). The CPS is a monthly labor force survey conducted in

approximately 44,000 interviewed households across the country. Attachment 8 is a facsimile of

the document used by the CPS with the November 2023 Computer and Internet Use Supplement

questions. See "Overview-Current Population Survey" (Attachment 2) for a description of the

CPS; the following describes the November 2023 Computer and Internet Use Supplement questions

asked of persons 3 years old and over.

Data Collection

The November 2023 Computer and Internet Use Supplement collected household information from

all eligible CPS households, as well as person information from household members 3 years old

and over. Proxy responses were allowed. The supplement contained questions about the

household’s use of digital devices and the internet, and about the household member's use of the

internet from any location in the past year. It also asked about internet activities of a single

randomly selected respondent. Interviews were conducted during the period of November 12-18,

2023. Interviewers were provided with a two-hour home study for completing the basic CPS labor

force exercises, supplement exercises, and a practice interview concerning the supplement.

Data Processing

The data processing involved a consistency edit and allocation module for all computer and internet use

supplement items. The consistency edit mainly ensured that the entries within an individual record

followed the correct skip pattern. Items with missing values were assigned values, if appropriate. When

a response is not obtained for a particular data item, or an inconsistency in reported items is detected, an

"imputed" response is entered in the field. Imputation is performed using a "hot deck" method, whereby

a response from another sample person with similar demographic and economic characteristics is used

for the nonresponse. The imputation procedure is performed one item at a time.

The values and universes for each variable are defined in the supplement record layout

(Attachment 7).

November 2023 Computer and Internet Use Supplement Computer File

The November 2023 Computer and Internet Use File consists of two parts: the CPS labor force

data and the supplement data.

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A. The CPS Labor Force Data

The November 2023 CPS file contains 126,917 records. The first 1,000 characters contain

the labor force data for each record. Attachment 6 contains the CPS Basic Items Record

Layout, which includes the variable name, character size, location on the record, universe,

and the possible values of each basic CPS variable included on the file.

The variable PRPERTYP (located in positions 161-162 on the CPS Basic Items

Record Layout) determines the type of person as follows:

PRPERTYP

1 = Child household member (0-14 years old)

2 = Adult civilian household member (15+ years old)

3 = Adult Armed Forces household member (15+ years old)

The variable HRINTSTA (located in positions 57-58 on the CPS Basic Items

Record Layout) determines the interview status of the household.

HRINTSTA

1 = Interview

2 = Type A Noninterview (These records represent households that were eligible

for the August CPS interview but were not interviewed because no one was

home, household members were temporarily absent, etc.)

3 = Type B Noninterview (These records represent sample addresses determined

to be ineligible for the CPS by virtue of being vacant, demolished,

nonresidential, etc.)

4 = Type C Noninterview (See explanation for Type B above)

By combining the values of PRPERTYP (1-3) and HRINTSTA (2-4), the number of

records can be determined.

The values of PRPERTYP are:

Unweighted Counts

1 = Child 16.693

2 = Adult Civilian, 15+ 82,621

3 = Adult, Armed Forces 320

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The values of HRINTSTA are:

1 = Interview 99,634

2 = Type A Noninterview 18,019

3 = Type B Noninterview 8,813

4 = Type C Noninterview 451

B. November 2023 Computer and Internet Use Supplement Data

The November supplement data are in locations 1001-1333. (See Attachment 7)

C. Tallying the November 2023 Supplement File

The November 2023 supplement universe consists of the CPS sample for all households and for

civilian persons age 3 and over.

D. Weighting

The November 2023 Computer and Internet Use supplement is a fully allocated supplement.

The basic CPS person (PWSSWGT) and household (HWHHWGT) weights may be used to

tally the supplement.

There is, however, a weight associated with the random respondent questions. This weight,

PWPRMWGT, should be used with the random respondent questions which include PEEMAIL

through PEHOMIOT. This weight must be used when tallying these supplement questions.

Attachment 13 is a tally listing of unweighted counts from selected supplement items. Use

these totals to ensure that the file is being accessed properly.

E. Data Contact

For questions regarding the November 2023 supplement data, call the CPS Branch on

(301) 763-3806, or email [email protected].

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ATTACHMENT 4

GLOSSARY

Current Population Survey

Age Age classification is based on the age of the person at his/her last birthday. The adult universe (i.e.,

population of marriageable age) is comprised of persons 15 years and over for CPS labor force data.

Allocation Flag Each edited item has a corresponding allocation flag indicating the nature of the edit. See the

attachment on allocation flags for more information. The second character of the item name is always "X".

Armed Forces Demographic information for Armed Forces members (enumerated in off-base housing or on-base

with their families) is included on the CPS data files. No labor force information is collected of Armed Forces

members in any month. In March, supplemental data on income are included for Armed Forces members. This is

the only month that non-demographic information is included for Armed Forces members.

Civilian Labor Force (See Labor Force.)

Class of Worker This refers to the broad classification of the person's employer. These broad classifications for

current jobs are:

1)

Federal government

2)

State government

3)

Local government

4)

Private industry (including self-employed, incorporated)

5)

Self-employed (not incorporated)

6)

Working without pay

Domain The domain for an item is a list or range of its possible values. Note that all unedited items have possible

values of -1 (blank), -2 (don't know), and -3 (refused). Since all items have these possible values, they are not

shown as valid entries for each item.

Duration of Unemployment Duration of unemployment represents the length of time (through the current survey

week) during which persons classified as unemployed are continuously looking for work. For persons on layoff,

duration of unemployment represents the number of full weeks since the termination of their most recent

employment. A period of two weeks or more during which a person is employed or ceased looking for work is

considered to break the continuity of the present period of seeking work.

Earners, Number of The file includes all persons 15 years old and over in the household with $1 or more in wages

and salaries, or $1 or more of a loss in net income from farm or nonfarm self-employment during the preceding

year.

Edited item An edited item is allocated or imputed by the processing system. In most cases this means allocating

a value where the unedited item contains a value of blank, "don't know", or "refused". The second character of the

item name is always "E".

An edited version of an item exists only if that item is processed through the edits. If the edits never deal with a

particular item, then that item only has an unedited version.

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Since the instrument enforces skip patterns and consistency between many items, the edits are left mainly with the

job of allocating missing values. Also, since an interviewer is allowed to "back up" in the interview, there may be

"off-path" items filled in the unedited data. The edits also blank these off-path items if an edited version of the

items exists.

Education (See Level of School Completed.)

Employed (See Labor Force.)

Family A family is a group of two persons or more (one of whom is the householder) residing together and related

by birth, marriage, or adoption. All such persons (including related subfamily members) are considered as

members

of one family. Beginning with the 1980 CPS, unrelated subfamilies (referred to in the past as secondary

families) are no longer included in the count of families, nor are the members of unrelated subfamilies included in

the count of family members.

Family Household A family household is a household maintained by a family (as defined above), and may include

among the household members any unrelated persons (unrelated subfamily members and/or secondary individuals)

who may be residing there. The number of family households is equal to the number of families. The count of

family household members differs from the count of family members, however, in that the family household

members include all persons living in the household, whereas family members include only the householder and

his/her relatives. (See the definition of Family).

F

amily Weight This weight is used only for tallying family characteristics. In March, the weight on the family

record is the March supplement weight of the householder or reference person.

Final Weight Used in tabulating labor force items in all months, including March. The final weight is controlled

to independent estimates for:

1)

States

2)

Origin, Sex, and Age

3)

Age, Race, and Sex

This weight should not be used when tabulating March supplement data.

Full-Time Worker Persons on full-time schedules include persons working 35 hours or more, persons who worked

1-34 hours for noneconomic reasons (e.g., illness) and usually work full-time, and persons "with a job but not at

work" who usually work full-time.

Group Quarters Group quarters are noninstitutional living arrangements for groups not living in conventional

housing units or groups living in housing units containing nine or more persons unrelated to the person in charge.

Head Versus Householder Beginning with the March 1980 CPS, the Bureau of the Census discontinued the use of

the terms "head of household" and "head of family." Instead, the terms "householder" and "family householder"

are

used.

H

ighest Grade of School Attended (See Level of School Completed.)

Hispanic/Non-Hispanic Origin A person’s Hispanic/Non-Hispanic status in this file is determined on the basis of

a question that simply asks “(Is/Are) (Name/you) Hispanic?”

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Hours of Work Hours of work statistics relate to the actual number of hours worked during the survey week. For

example, a person who normally works 40 hours a week but who is off on the Veterans Day holiday is reported as

working 32 hours even though he is paid for the holiday.

For persons working in more than one job, the figures related to the number of hours worked in all jobs during the

week. However, all the hours are credited to the major job.

Household A household consists of all the persons who occupy a house, an apartment, or other group of rooms, or a

room, which constitutes a housing unit. A group of rooms or a single room is regarded as a housing unit when it is

occupied as separate living quarters; that is, when the occupants do not live with any other person in the

structure, and when there is direct access from the outside or through a common hall. The count of households

excludes persons living in group quarters, such as military barracks and institutions. Inmates of institutions (mental

hospitals, rest homes, correctional institutions, etc.) are not included in the survey.

H

ousehold Weight The household weight is used for tallying household characteristics. In March, the household

weight is the March Supplement weight of the householder.

Householder The householder refers to the person (or one of the persons) in whose name the housing unit is owned

or rented (maintained) or, if there is no such person, any adult member, excluding roomers, boarders, or paid

employees. If the house is owned or rented jointly by a married couple, the householder may be either the husband

or the wife. The person designated as the householder is the "reference person" to whom the relationship of all other

household members, if any, is recorded.

Householder With No Other Relatives in Household A householder who has no relatives living in the

household. This is the entry for a person living alone. Another example is the designated householder of an

apartment shared by two or more unrelated individuals.

Householder With Other Relatives (Including Spouse) in Household The person designated as householder if

he/she has one or more relatives (including spouse) living in the household.

Industry, Occupation, and Class of Worker (I&O) Current Job (basic data) For the employed, current job is the

job held in the reference week (the week before the survey). Persons with two or more jobs are classified in the job

at which they worked the most hours during the reference week. The unemployed are classified according to their

latest full-time job lasting two or more weeks or by the job (either full-time or part-time). The I & O questions

are also asked of persons not in the labor force who are in the fourth and eighth months in sample and who have

worked in the last five years.

Job Seekers All unemployed persons who made specific efforts to find a job sometime during the 4-week period

preceding the survey week.

Longitudinal Weight Used for gross flows analysis. Only found on adult records matched from month to month.

PEMLR (Major Labor Force Recode) This classification is available for each civilian 15 years old and over

according to his/her responses to the monthly (basic) labor force items.

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Labor Force Persons are classified as in the labor force if they are employed, unemployed, or in the Armed Forces

during the survey week. The "civilian labor force" includes all civilians classified as employed or unemployed.

The file includes labor force data for civilians age 15 and over. However, the official definition of the civilian labor

force is age 16 and over.

1.

Employed

Employed persons comprise (1) all civilians who, during the survey week, do any work at all as paid

employees or in their own business or profession, or on their own farm, or who work 15 hours or more

as unpaid workers on a farm in a business operated by a member of the family; and (2) all those who

have jobs but who are not working because of illness, bad weather, vacation, or labor-management

dispute, or because they are taking time off for personal reasons, whether or not they are seeking other

jobs. These persons would have a Monthly Labor Force Recode (MLR) of 1 or 2 respectively in

characters 180-181 of the person record which designates "at work" and "with a job, but not at work."

Each employed person is counted only once. Those persons who held more than one job are counted in

the job at which they worked the greatest number of hours during the survey week. If they worked an

equal number of hours at more than one job, they are counted at the job they held the longest.

2.

Unemployed

Unemployed persons are those civilians who, during the survey week, have no employment but are

available for work, and (1) have engaged in any specific job seeking activity within the past 4 weeks

such as registering at a public or private employment office, meeting with prospective employers,

checking with friends or 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 which they had

been laid off; or (3) are waiting to report to a new wage or salary job within 30 days. These persons

would have an MLR code of 3 or 4 in characters 180-181 of the person record. The unemployed

includes job leavers, job losers, new job entrants, and job reentrants.

a.

Job Leavers

Persons who quit or otherwise terminate their employment voluntarily and immediately begin

looking for work.

b.

Job Losers

Persons whose employment ends involuntarily, who immediately begin looking for work, and

those persons who are already on layoff.

c.

New Job Entrants

Persons who never worked at a full-time job lasting two weeks or longer.

d.

Job Reentrants

Persons who previously worked at a full-time job lasting two weeks or longer but are out of the

labor force prior to beginning to look for work.

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Finally, it should be noted that the unemployment rate represents the number of persons unemployed as

a percent of the civilian labor force 16 years old and over. This measure can also be computed for

groups within the labor force classified by sex, age, marital status, race, etc. The job loser, job leaver,

reentrant, and new entrant rates are each calculated as a percent of the civilian labor force 16 years old

and over; the sum of the rates for the four groups thus equals the total unemployment rate.

3.

Not in Labor Force

All civilians 15 years old and over who are not classified as employed or unemployed. These persons

are further classified by major activity: retired, unable to work because of long-term physical or mental

illness, and other. The "other" group includes, for the most part, students and persons keeping house.

Persons who report doing unpaid work in a family farm or business for less than 15 hours are also

classified as not in the labor force.

For persons not in the labor force, data on previous work experience, intentions to seek work again,

desire for a job at the time of interview, and reasons for not looking for work are asked only in those

households that are in the fourth and eighth months of the sample, i.e., the "outgoing" groups, those

which had been in the sample for three previous months and would not be in for the subsequent month.

P

ersons classified as NILF have an MLR code of 5-7 in characters 180-181 of the person record.

Layoff A person who is unemployed but expects to be called back to a specific job. If he/she expects to be called

back within 30 days, it is considered a temporary layoff; otherwise, it is an indefinite layoff.

Level of School Completed/Degree Received These data changed beginning with the January 1992 file. A new

question, "What is the highest level of school ... has completed or the highest degree ... has received?" replaced the

old "Highest grade attended" and "Year completed" questions. The new question provides more accurate data on

the degree status of college students. Educational attainment applies only to progress in "regular" school. Such

schools include graded public, private, and parochial elementary and high schools (both junior and senior high),

colleges, universities, and professional schools, whether day schools or night schools. Thus, regular schooling is

that which may advance a person toward an elementary school certificate or high school diploma, or a college,

university, or professional school degree. Schooling in other than regular schools is counted only if the credits

obtained are regarded as transferable to a school in the regular school system.

L

ooking for Work A person who is trying to get work or trying to establish a business or profession.

Marital Status The marital status classification identifies four major categories: single (never married), married,

widowed, and divorced. These terms refer to the marital status at the time of enumeration.

The category "married" is further divided into "married, civilian spouse present," "married, Armed Force spouse

present," "married, spouse absent," "married, Armed Force spouse absent," and "separated." A person is classified

as "married, spouse present" if the husband or wife is reported as a member of the household even though he or she

may be temporarily absent on business or on vacation, visiting, in a hospital, etc., at the time of the enumeration.

Persons reported as "separated" included those with legal separations, those living apart with intentions of obtaining

a divorce, and other persons permanently or temporarily estranged from their spouses because of marital discord.

For the purpose of this file, the group "other marital status" includes "widowed and divorced," "separated," and

"other married, spouse absent."

Month-In-Sample The term is defined as the number of times a unit is interviewed. Each unit is interviewed eight

times during the life of the sample.

4-6

Never Worked A person who has never held a full-time civilian job lasting two consecutive weeks or more.

Nonfamily Householder A nonfamily householder (formerly called a primary individual) is a person maintaining

a household while living alone or with nonrelatives only.

Nonworker A person who does not do any work in the calendar year preceding the survey.

Nonrelative of Householder With No Own Relatives in Household A nonrelative of the householder who has no

relative(s) of his own in the household. This category includes such nonrelatives as a foster child, a ward, a lodger, a

servant, or a hired hand, who has no relatives of his own living with him in the household.

Nonrelative of Householder With Own Relatives (Including Spouse)in Household Any household member who

is not related to the householder but has relatives of his own in the household; for example, a lodger, his spouse,

and their son.

Other Relative of Householder Any relative of the householder other than his spouse or child; for example,

father, mother, grandson, daughter-in-law, etc.

Out Variable An instrument-created item that stores the results of another item.

Own Child A child related by birth, marriage, or adoption to the family householder.

Part-Time, Economic Reasons The item includes slack work, material shortages, repairs to plant or equipment,

start or termination of job during the week, and inability to find full-time work. (See also Full-Time Worker.)

Part-Time, Other Reasons The item includes labor dispute, bad weather, own illness, vacation, demands of home

housework, school, no desire for full-time work, and full-time worker only during peak season.

Part-Time Work Persons who work between 1 and 34 hours are designated as working "part-time" in the current

job held during the reference week. For the March supplement, a person is classified as having worked part-time

during the preceding calendar year if he worked less than 35 hours per week in a majority of the weeks in which he

worked during the year. Conversely, he is classified as having worked full-time if he worked 35 hours or more per

week during a majority of the weeks in which he worked.

Part-Year Work Part-year work is classified as less than 50 weeks' work.

Population Coverage Population coverage includes the civilian population of the United States plus

approximately one million members of the Armed Forces in the United States living off post or with their families

on post but excludes all other members of the Armed Forces. This file excludes inmates of institutions. The labor

force and work experience data are not collected for Armed Forces members.

Processing Recode An item calculated by the processing system from a combination of other items in the

database. The second character of the item name is always "R".

Race The population is divided into six groups on the basis of race: White, Black or African American, American

Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, and Other races. The 2011 CPS uses the

Census 2010 question on race that allows for more than one race reporting, but does not include the Census 2010

"Some Other Race" category.

Reentrants Persons who previously worked at a full-time job lasting two weeks or longer, but who are out of the

labor force prior to beginning to look for work.

4-7

Related Children Related children in a family include own children and all other children in the household who

are related to the householder by birth, marriage, or adoption. For each type of family unit identified in the CPS, the

count of own children under 18 years old is limited to single (never married) children; however, "own children under

25" and "own children of any age," include all children regardless of marital status. The totals include never-

married children living away from home in college dormitories.

Related Subfamily A related subfamily is a married couple with or without children, or one parent with one or

more own single (never married) children under 18 years old, living in a household and related to, but not including,

the householder or spouse. The most common example of a related subfamily is a young married couple

sharing the home of the husband's or wife's parents. The number of related subfamilies is not included in the

number of families.

School, Major Activity A person who spent most of his time during the survey week attending any kind of public

or private school, including trade or vocational schools in which students receive no compensation in money or

kind.

Secondary Individual A secondary individual is a person in a household or group quarters such as a guest, roomer,

boarder, or resident employee (excluding nonfamily households and inmates of institutions) who is not related to

any other person in the household or group quarters.

Self-Employed Self-employed persons are those who work for profit or fees in their own business, profession or

trade, or operate a farm.

Stretches of Unemployment A continuous stretch is one that is not interrupted by the person getting a job or

leaving the labor market to go to school, to keep house, etc. A period of two weeks or more during which a person

is employed or ceased looking for work is considered to break the continuity of the period of seeking work.

Unable to Work A person is classified as unable to work because of long-term physical or mental illness, lasting

six months or longer.

Unedited item An item that is produced by the computer automated instrument, either collected during the

interview or created by the instrument. The second character of the item name is always "U".

Unemployed (See Labor Force.)

Unpaid Family Workers Unpaid family workers are persons working without pay for 15 hours a week or more on

a farm or in a business operated by a member of the household to whom they are related by birth or marriage.

Unrelated Individuals Unrelated individuals are persons of any age (other than inmates of institutions) who are

not living with any relatives. An unrelated individual may be (1) a nonfamily householder living alone or with

nonrelatives only, (2) a roomer, boarder, or resident employee with no relatives in the household, or (3) a group

quarters member who has no relatives living with him/her. Thus, a widow who occupies her house alone or with

one or more other persons not related to her, a roomer not related to anyone else in the housing unit, a maid living

as a member of her employer's household but with no relatives in the household, and a resident staff member in a

hospital living apart from any relatives are all examples of unrelated individuals.

Unrelated Subfamily An unrelated subfamily is a family that does not include among its members the householder

and relatives of the householder. Members of unrelated subfamilies may include persons such as guests, roomers,

boarders, or resident employees and their relatives living in a household. The number of unrelated subfamily

members is included in the number of household members but is not included in the count of family members.

4-8

Persons living with relatives in group quarters were formerly considered as members of families. However, the

number of such unrelated subfamilies became so small (37,000 in 1967) that beginning with the data for 1968 (and

beginning with the census data for 1960) the Bureau of the Census includes persons in these unrelated subfamilies

in the count of secondary individuals.

Veteran Status If a person served at any time during the four most recent wartime periods, the codes for all periods

of service are entered. A person can report up to 4 periods of service. The following codes are used:

0 Children under 15

1

September 2001 or later

2

August 1990 to August 2001

3

May 1975 to July 1990

4

Vietnam era (Aug 1964 to Apr 1975)

5

February 1955 to July 1964

6

Korean War (July 1950 to January 1955)

7

January 1947 to June 1950

8

World War II (December 1941 to December 1946)

9

November 1941 or earlier

Wage and Salary Workers Wage and salary workers receive wages, salary, commission, tips, or pay in kind from

a private employer or from a governmental unit. Also included are persons who are self-employed in an

incorporated business.

W

orkers (See Labor Force--Employed.)

Work Experience Includes those persons who during the preceding calendar year did any work for pay or profit or

worked without pay on a family-operated farm or business at 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.

ATTACHMENT 5

HOW TO USE THE RECORD LAYOUT

Data users familiar with the CPS data files in prior years will see many similarities between the

format of this file and those files released before January 1994. As in the past, there are numeric

locations on the file which correspond to each variable. There is only one record layout which

contains the variables for children, adults, and armed forces members. In prior years, each type

of person had a separate record layout.

Item Naming Conventions

⊄

The first character of each variable name is one of the following:

H - Household item

G - Geography item

* P - Person item (includes adult items, child items, and armed forces items)

* There is no need to distinguish adult, child, and armed forces items in the variable

names in the new system. The recode PRPERTYP (located in positions 161-162) tells

you what category the person is in.

⊄

The second character of each variable name is one of the following:

E - Edited item

U

-

Unedited item

X-

Allocation flag (see Attachment 15 for more information)

W

W- Weight

R - Recode

⊄

The remaining characters describe the variable.

⊄

For multiple entry items, the file contains a separate variable for each possible response.

Each item has the same descriptive name but a number is added as the last digit. For

example, Question 22A allows separate entries for up to 6 job search methods. The item

names are PELKM1 (this item is edited), PULKM2, (this item is unedited), PULKM3, etc.

These items are located in positions 296-307 of the record layout.

5-1

6-1

ATTACHMENT 6

CPS RECORD LAYOUT FOR BASIC LABOR FORCE ITEMS

STANDARD PUBLIC USE FILES

A1. HOUSEHOLD INFORMATION

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

* STARTING JANUARY 2023 *

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

NAME SIZE DESCRIPTION LOCATION

HRHHID 15 HOUSEHOLD IDENTIFIER (Part 1) 1- 15

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

Part 1. See Characters 71-75 for Part 2 of the Household Identifier.

HRMONTH 2 MONTH OF INTERVIEW 16-17

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

01 MIN VALUE

12 MAX VALUE

HRYEAR4 4 YEAR OF INTERVIEW 18-21

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

1998 MIN VALUE

2999 MAX VALUE

HURESPLI 2 LINE NUMBER OF THE CURRENT 22 - 23

RESPONDENT

VALID ENTRIES

0 MIN VALUE

99 MAX VALUE

NAME SIZE DESCRIPTION LOCATION

6-2

HUFINAL 3 FINAL OUTCOME CODE 24 - 26

OUTCOME CODES BETWEEN 001 AND 020 ARE FOR CATI.

ALL OTHER OUTCOME CODES ARE FOR CAPI.

VALID ENTRIES

001 FULLY COMPLETE CATI INTERVIEW

002 PARTIALLY COMPLETED CATI INTERVIEW

003 COMPLETE BUT PERSONAL VISIT REQUESTED NEXT MONTH

004 PARTIAL, NOT COMPLETE AT CLOSEOUT

005 LABOR FORCE COMPLETE, SUPPLEMENT INCOMPLETE - CATI

006 LF COMPLETE, SUPPLEMENT DK ITEMS INCOMPLETE AT

CLOSEOUT–ASEC ONLY

020 HH OCCUPIED ENTIRELY BY ARMED FORCES MEMBERS

OR ALL UNDER 15 YEARS OF AGE

201 CAPI COMPLETE

202 CALLBACK NEEDED

203 SUFFICIENT PARTIAL - PRECLOSEOUT

204 SUFFICIENT PARTIAL - AT CLOSEOUT

205 LABOR FORCE COMPLETE, - SUPPL. INCOMPLETE - CAPI

213 LANGUAGE BARRIER

214 UNABLE TO LOCATE

216 NO ONE HOME

217 TEMPORARILY ABSENT

218 REFUSED

219 OTHER OCCUPIED - SPECIFY

223 ENTIRE HOUSEHOLD ARMED FORCES

224 ENTIRE HOUSEHOLD UNDER 15

225 TEMP. OCCUPIED W/PERSONS WITH URE

226 VACANT REGULAR

227 VACANT - STORAGE OF HHLD FURNITURE

228 UNFIT, TO BE DEMOLISHED

229 UNDER CONSTRUCTION, NOT READY

230 CONVERTED TO TEMP BUSINESS OR STORAGE

231 UNOCCUPIED TENT OR TRAILER SITE

232 PERMIT GRANTED - CONSTRUCTION NOT STARTED

233 OTHER - SPECIFY

240 DEMOLISHED

241 HOUSE OR TRAILER MOVED

242 OUTSIDE SEGMENT

243 C

ONVERTED TO PERM. BUSINESS OR STORAGE

244 MERGED

245 CONDEMNED

247 UNUSED SERIAL NUMBER OR LISTING SHEET

248 OTHER - SPECIFY

258 UNLOCATABLE SAMPLE ADDRESS

NAME SIZE DESCRIPTION LOCATION

6-3

259 UNIT DOES NOT EXIST/OUT OF SCOPE

256 REMOVED DURING SUB-SAMPLING

257 UNIT ALREADY HAD A CHANCE OF SELECTION

FILLER 2 27 - 28

HETENURE 2 ARE YOUR LIVING QUARTERS... 29 - 30

(READ ANSWER CATEGORIES)

EDITED UNIVERSE: HRINTSTA = 1 OR HUTYPB = 1-3

VALID ENTRIES

1 OWNED OR BEING BOUGHT BY A HH MEMBER

2 RENTED FOR CASH

3 OCCUPIED WITHOUT PAYMENT OF CASH RENT

NOTE: May be missing on the Basic CPS microdata files.

This will be updated on later releases of the same month’s data.

HEHOUSUT 2 TYPE OF HOUSING UNIT 31 - 32

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

0 OTHER UNIT

1 HOUSE, APARTMENT, FLAT

2 HU IN NONTRANSIENT HOTEL, MOTEL, ETC.

3 HU PERMANENT IN TRANSIENT HOTEL, MOTEL

4 HU IN ROOMING HOUSE

5 MOBILE HOME OR TRAILER W/NO PERM. ROOM ADDED

6 MOBILE HOME OR TRAILER W/1 OR MORE PERM. ROOMS ADDED

7 HU NOT SPECIFIED ABOVE

8 QUARTERS NOT HU IN ROOMING OR BRDING HS

9 UNIT NOT PERM. IN TRANSIENT HOTL, MOTL

10 UNOCCUPIED TENT SITE OR TRLR SITE

11 STUDENT QUARTERS IN COLLEGE DORM

12 OTHER UNIT NOT SPECIFIED ABOVE

HETELHHD 2 IS THERE A TELEPHONE IN THIS 33 - 34

HOUSE/APARTMENT?

EDITED UNIVERSE: HRINTSTA = 1

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-4

1 YES

2 NO

HETELAVL 2 IS THERE A TELEPHONE ELSEWHERE ON 35 - 36

WHICH PEOPLE IN THIS HOUSEHOLD CAN

BE CONTACTED?

EDITED UNIVERSE: HETELHHD = 2

VALID ENTRIES

1 YES

2 NO

HEPHONEO 2 IS A TELEPHONE INTERVIEW ACCEPTABLE? 37 - 38

EDITED UNIVERSE: HETELHHD = 1 OR HETELAVL = 1

VALID ENTRIES

0 NO

1 YES

HEFAMINC 2 FAMILY INCOME 39 - 40

(COMBINED INCOME OF ALL FAMILY MEMBERS

DURING THE LAST 12 MONTHS. INCLUDES MONEY

FROM JOBS, NET INCOME FROM BUSINESS, FARM

OR RENT, PENSIONS, DIVIDENDS, INTEREST,

SOCIAL SECURITY PAYMENTS AND ANY OTHER

MONEY INCOME RECEIVED BY FAMILY MEMBERS

WHO ARE 15 YEARS OF AGE OR OLDER.)

Edited beginning January 2010

Note: Caution should be used when using this variable since it

has an allocation rate of approximately 20 percent.

VALID ENTRIES

1 LESS THAN $5,000

2 5,000 TO 7,499

3 7,500 TO 9,999

4 10,000 TO 12,499

5 12,500 TO 14,999

6 15,000 TO 19,999

7 20,000 TO 24,999

NAME SIZE DESCRIPTION LOCATION

6-5

8 25,000 TO 29,999

9 30,000 TO 34,999

10 35,000 TO 39,999

11 40,000 TO 49,999

12 50,000 TO 59,999

13 60,000 TO 74,999

14 75,000 TO 99,999

15 100,000 TO 149,999

16 150,000 OR MORE

HUTYPEA 2 TYPE A NONINTERVIEW REASON 41 - 42

VALID ENTRIES

1 NO ONE HOME (NOH)

2 TEMPORARILY ABSENT (TA)

3 REFUSED (REF)

4 LANGUAGE BARRIER

5 UNABLE TO LOCATE

6 OTHER OCCUPIED - SPECIFY

HUTYPB 2 TYPE B NON-INTERVIEW REASON 43 - 44

VALID ENTRIES

1 VACANT REGULAR

2 TEMPORARILY OCCUPIED BY PERSONS W/ URE

3 VACANT-STORAGE OF HHLD FURNITURE

4 UNFIT OR TO BE DEMOLISHED

5 UNDER CONSTRUCTION, NOT READY

6 CONVERTED TO TEMP BUSINESS OR STORAGE

7 UNOCCUPIED TENT SITE OR TRAILER SITE

8 PERMIT GRANTED CONSTRUCTION NOT STARTED

9 OTHER TYPE B - SPECIFY

HUTYPC 2 TYPE C NON-INTERVIEW REASON 45 - 46

VALID ENTRIES

1 DEMOLISHED

2 HOUSE OR TRAILER MOVED

3 OUTSIDE SEGMENT

4 CONVERTED TO PERM. BUSINESS OR STORAGE

5 MERGED

6 CONDEMNED

7 UNUSED LINE OF LISTING SHEET

8 UNLOCATABLE SAMPLE ADDRESS

NAME SIZE DESCRIPTION LOCATION

6-6

9 UNIT DOES NOT EXIST/OUT OF SCOPE

10 OTHER - SPECIFY

HWHHWGT 10 HOUSEHOLD WEIGHT 47 - 56

(4 IMPLIED DECIMAL PLACES)

USED FOR TALLYING HOUSEHOLD CHARACTERISTICS

EDITED UNIVERSE: HRINTSTA = 1

HRINTSTA 2 INTERVIEW STATUS 57 - 58

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

1 INTERVIEW

2 TYPE A NON-INTERVIEW

3 TYPE B NON-INTERVIEW

4 TYPE C NON-INTERVIEW

HRNUMHOU 2 TOTAL NUMBER OF PERSONS LIVING 59 - 60

IN THE HOUSEHOLD (HOUSEHOLD MEMBERS).

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

0 MIN VALUE

16 MAX VALUE

HRHTYPE 2 HOUSEHOLD TYPE 61 - 62

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

0 NON-INTERVIEW HOUSEHOLD

1 HUSBAND/WIFE PRIMARY FAMILY (NEITHER AF)

2 HUSB/WIFE PRIM. FAMILY (EITHER/BOTH AF)

3 UNMARRIED CIVILIAN MALE-PRIM. FAM HHLDER

4 UNMARRIED CIV. FEMALE-PRIM FAM HHLDER

5 PRIMARY FAMILY HHLDER-RP IN AF, UNMAR.

6 CIVILIAN MALE PRIMARY INDIVIDUAL

7 CIVILIAN FEMALE PRIMARY INDIVIDUAL

8 PRIMARY INDIVIDUAL HHLD-RP IN AF

9 GROUP QUARTERS WITH FAMILY

10 GROUP QUARTERS WITHOUT FAMILY

NAME SIZE DESCRIPTION LOCATION

6-7

HRMIS 2 MONTH-IN-SAMPLE 63 - 64

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

1 MIN VALUE

8 MAX VALUE

HUINTTYP 2 TYPE OF INTERVIEW 65 - 66

VALID ENTRIES

0 NONINTERVIEW/INDETERMINATE

1 PERSONAL

2 TELEPHONE

HUPRSCNT 2 NUMBER OF ACTUAL AND 67 - 68

ATTEMPTED PERSONAL CONTACTS

VALID ENTRIES

1 MIN VALUE

9 MAX VALUE

HRLONGLK 2 LONGITUDINAL LINK INDICATOR 69 - 70

EDITED UNIVERSE: ALL HHLDs IN SAMPLE

VALID ENTRIES

0 MIS 1 OR REPLACEMENT HH (NO LINK)

2 MIS 2-4 OR MIS 6-8

3 MIS 5

HRHHID2 5 HOUSEHOLD IDENTIFIER (part 2) 71 - 75

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

Part 1 of this number is found in columns 1-15 of the record.

Concatenate this item with Part 1 for matching.

The component parts of this number are as follows:

71-72 Numeric component of the sample number (HRSAMPLE)

73-74 Serial suffix-converted to numerics (HRSERSUF)

75 Household Number (HUHHNUM)

HWHHWTLN 2 Line Number (PULINENO) of the person whose PWSSWGT 76-77

was donated as HWHHWGT for the household

NAME SIZE DESCRIPTION LOCATION

6-8

EDITED UNIVERSE: HRINTSTA = 1

VALID ENTRIES

0 MIN VALUE

16 MAX VALUE

FILLER 1 78 - 78

HUBUS 2 DOES ANYONE IN THIS HOUSEHOLD 79 - 80

HAVE A BUSINESS OR A FARM?

VALID ENTRIES

1 YES

2 NO

HUBUSL1 2 ENTER LINE NUMBER 81 - 82

FOR HUBUS = 1

VALID ENTRIES

01 MIN VALUE

99 MAX VALUE

HUBUSL2 2 See BUSL1 83 - 84

VALID ENTRIES

1 MIN VALUE

99 MAX VALUE

HUBUSL3 2 See BUSL1 85 - 86

VALID ENTRIES

1 MIN VALUE

99 MAX VALUE

HUBUSL4 2 See BUSL1 87 - 88

VALID ENTRIES

1 MIN VALUE

99 MAX VALUE

NAME SIZE DESCRIPTION LOCATION

6-9

A2. GEOGRAPHIC INFORMATION

GEREG 2 REGION 89 - 90

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

1 NORTHEAST

2 MIDWEST (FORMERLY NORTH CENTRAL)

3 SOUTH

4 WEST

GEDIV 1 DIVISION 91 - 91

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

1 NEW ENGLAND

2 MIDDLE ATLANTIC

3 EAST NORTH CENTRAL

4 WEST NORTH CENTRAL

5 SOUTH ATLANTIC

6 EAST SOUTH CENTRAL

7 WEST SOUTH CENTRAL

8 MOUNTAIN

9 PACIFIC

FILLER 1 92 – 92

GESTFIPS 2 FEDERAL INFORMATION 93 - 94

PROCESSING STANDARDS

(FIPS) STATE CODE

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

01 AL 30 MT

02 AK 31 NE

04 AZ 32 NV

05 AR 33 NH

06 CA 34 NJ

08 CO 35 NM

NAME SIZE DESCRIPTION LOCATION

6-10

09 CT 36 NY

10 DE 37 NC

11 DC 38 ND

12 FL 39 OH

13 GA 40 OK

15 HI 41 OR

16 ID 42 PA

17 IL 44 RI

18 IN 45 SC

19 IA 46 SD

20 KS 47 TN

21 KY 48 TX

22 LA 49 UT

23 ME 50 VT

24 MD 51 VA

25 MA 53 WA

26 MI 54 WV

27 MN 55 WI

28 MS 56 WY

29 MO

FILLER 1 95 - 95

GTCBSA 5 SPECIFIC METROPOLITAN CBSA CODE 96 - 100

(

SEE GEOGRAPHIC ATTACHMENT)

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

00000 NOT IDENTIFIED OR NONMETROPOLITAN

10180 MIN VALUE

49740 MAX VALUE

GTCO 3 FIPS COUNTY CODE 101 - 103

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

000 NOT IDENTIFIED

001-810 SPECIFIC COUNTY CODE

(SEE GEOGRAPHIC ATTACHMENT)

NOTE: THIS CODE MUST BE USED IN COMBINATION

WITH A STATE CODE (GESTFIPS or GESTCEN) IN

ORDER TO UNIQUELY IDENTIFY A COUNTY.

NAME SIZE DESCRIPTION LOCATION

6-11

ALSO, MOST COUNTIES ARE NOT IDENTIFIED.

GTCBSAST 1 PRINCIPAL CITY/BALANCE STATUS 104 - 104

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

1 PRINCIPAL CITY

2 BALANCE

3 NONMETROPOLITAN

4 NOT IDENTIFIED

GTMETSTA 1 METROPOLITAN STATUS 105 - 105

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

1 METROPOLITAN

2 NONMETROPOLITAN

3 NOT IDENTIFIED

GTINDVPC 1 INDIVIDUAL PRINCIPAL CITY 106 - 106

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

0 NOT IDENTIFIED, NONMETROPOLITAN,

or NOT A CENTRAL CITY

1-7 SPECIFIC PRINCIPAL CITY CODE

(SEE GEOGRAPHIC ATTACHMENT )

NOTE: WHENEVER POSSIBLE THIS CODE

IDENTIFIES SPECIFIC PRINCIPAL CITIES IN

A METROPOLITAN AREA THAT HAS MULTIPLE

PRINCIPAL CITIES. THIS CODE MUST BE

USED IN COMBINATION WITH THE CBSA

FIPS CODE (GTCBSA) IN ORDER TO

UNIQUELY IDENTIFY A SPECIFIC CITY.

GTCBSASZ 1 Metropolitan Area (CBSA) SIZE 107 - 107

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-12

0 NOT IDENTIFIED OR NONMETROPOLITAN

2 100,000 - 249,999

3 250,000 - 499,999

4 500,000 - 999,999

5 1,000,000 - 2,499,999

6 2,500,000 - 4,999,999

7 5,000,000+

GTCSA 3 Consolidated Statistical Area (CSA) FIPS CODE 108-110

(SEE GEOGRAPHIC ATTACHMENT)

EDITED UNIVERSE: ALL HHLD's IN SAMPLE

VALID ENTRIES

000 NOT IDENTIFIED OR NONMETROPOLITAN

104 MIN VALUE

548 MAX VALUE

FILLER 3 111 - 113

A3. PERSONS INFORMATION DEMOGRAPHIC ITEMS

FILLER 2 Starting January 2014 114 - 117

PERRP 2 RELATIONSHIP TO REFERENCE 118 - 119

PERSON

EDITED UNIVERSE: PRPERTYP = 1, 2, OR 3

VALID ENTRIES

EXPANDED RELATIONSHIP CATEGORIES

40 REFERENCE PERSON W/RELS.

41 REFERENCE PERSON W/O RELS.

42 OPPOSITE SEX SPOUSE

43 OPPOSITE SEX PARTNER WITH RELATIVES

44 OPPOSITE SEC PARTNER WITHOUT RELATIVES

45 SAME SEX SPOUSE

46 SAME SEX PARTNER WITH RELATIVES

47 SAME SEX PARTNER WITHOUT RELATIVES

48 CHILD

49 GRANDCHILD

50 PARENT

NAME SIZE DESCRIPTION LOCATION

6-13

51 BROTHER/SISTER

52 OTHER REL. OR REF. PERSON

53 FOSTER CHILD

54 HOUSEMATE/ROOMMATE W/RELS.

55 HOUSEMATE/ROOMMATEW/O RELS.

56 ROOMER/BOARDER W/RELS.

57 ROOMER/BOARDER W/OUT RELS.

58 NONRELATIVE OF REFERENCE PERSON W/RELS.

59 NONRELATIVE OF REFERENCE PERSON W/OUT RELS.

FILLER 2 120 - 121

PRTAGE 2 PERSONS AGE 122 - 123

Note: This variable was labeled as PEAGE in prior versions of this documentation

even though it contained the public use version of age that was topcoded and underwent

further masking steps to protect the confidentiality of individuals in sample.

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

00-79 Age in Years

80 80-84 Years Old

85 85+ Years Old

PRTFAGE 1 TOP CODE FLAG FOR AGE 124 - 124

VALID ENTRIES

0 NO TOP CODE

1 TOP CODED VALUE FOR AGE

PEMARITL 2 MARITAL STATUS 125 - 126

EDITED UNIVERSE: PRTAGE >= 15

VALID ENTRIES

1 MARRIED - SPOUSE PRESENT

2 MARRIED - SPOUSE ABSENT

3 WIDOWED

4 DIVORCED

NAME SIZE DESCRIPTION LOCATION

6-14

5 SEPARATED

6 NEVER MARRIED

PESPOUSE 2 LINE NUMBER OF SPOUSE 127 - 128

EDITED UNIVERSE: PEMARITL = 1

VALID ENTRIES

-1 NO SPOUSE

01 MIN VALUE

99 MAX VALUE

PESEX 2 SEX 129 - 130

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

1 MALE

2 FEMALE

PEAFEVER 2 DID YOU EVER SERVE ON ACTIVE 131 - 132

DUTY IN THE U.S. ARMED FORCES?

EDITED UNIVERSE: PRTAGE >=17

VALID ENTRIES

1 YES

2 NO

FILLER 2 Starting August 2005 133 - 134

PEAFNOW 2 ARE YOU NOW IN THE ARMED FORCES 135 - 136

EDITED UNIVERSE: PRPERTYP = 2 or 3

VALID ENTRIES

1 YES

2 NO

PEEDUCA 2 HIGHEST LEVEL OF SCHOOL 137 - 138

COMPLETED OR DEGREE RECEIVED

NAME SIZE DESCRIPTION LOCATION

6-15

EDITED UNIVERSE: PRPERTYP = 2 0R 3

VALID ENTRIES

31 LESS THAN 1ST GRADE

32 1ST, 2ND, 3RD OR 4TH GRADE

33 5TH OR 6TH GRADE

34 7TH OR 8TH GRADE

35 9TH GRADE

36 10TH GRADE

37 11TH GRADE

38 12TH GRADE NO DIPLOMA

39 HIGH SCHOOL GRAD-DIPLOMA OR EQUIV (GED)

40 SOME COLLEGE BUT NO DEGREE

41 ASSOCIATE DEGREE-OCCUPATIONAL/VOCATIONAL

42 ASSOCIATE DEGREE-ACADEMIC PROGRAM

43 BACHELOR'S DEGREE (EX: BA, AB, BS)

44 MASTER'S DEGREE (EX: MA, MS, MEng, MEd, MSW)

45 PROFESSIONAL SCHOOL DEG (EX: MD, DDS, DVM)

46 DOCTORATE DEGREE (EX: PhD, EdD)

PTDTRACE 2 RACE 139 – 140

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

01 White Only

02 Black Only

03 American Indian, Alaskan Native Only

04 Asian Only

05 Hawaiian/Pacific Islander Only

06 White-Black

07 White-AI

08 White-Asian

09 White-HP

10 Black-AI

11 Black-Asian

12 Black-HP

13 AI-Asian

14 AI-HP

15 Asian-HP

NAME SIZE DESCRIPTION LOCATION

6-16

16 W-B-AI

17 W-B-A

18 W-B-HP

19 W-AI-A

20 W-AI-HP

21 W-A-HP

22 B-AI-A

23 W-B-AI-A

24 W-AI-A-HP

25 Other 3 Race Combinations

26 Other 4 and 5 Race Combinations

PRDTHSP 2 DETAILED HISPANIC ORIGIN GROUP 141 - 142

Revised January 2014

EDITED UNIVERSE: PEHSPNON = 1

VALID ENTRIES

1. Mexican

2. Puerto Rican

3. Cuban

4. Dominican

5. Salvadoran

6. Central American, excluding Salvadoran

7. South American

8. Other Spanish

PUCHINHH 2 CHANGE IN HOUSEHOLD COMPOSITION 143 – 144

VALID ENTRIES

1 PERSON ADDED

2 PERSON ADDED - URE

3 PERSON UNDELETED

4 PERSON DIED

5 DELETED FOR REASON OTHER THAN DEATH

6 PERSON JOINED ARMED FORCES

7 PERSON NO LONGER IN AF

9 CHANGE IN DEMOGRAPHIC INFORMATION

FILLER 2 145 - 146

PULINENO 2 PERSON'S LINE NUMBER 147 – 148

NAME SIZE DESCRIPTION LOCATION

6-17

VALID ENTRIES

01 MIN VALUE

99 MAX VALUE

FILLER 2 149 - 150

PRFAMNUM 2 FAMILY NUMBER RECODE 151 - 152

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

00 NOT A FAMILY MEMBER

01 PRIMARY FAMILY MEMBER ONLY

02 SUBFAMILY NO. 2 MEMBER

03 SUBFAMILY NO. 3 MEMBER

04 SUBFAMILY NO. 4 MEMBER

05 SUBFAMILY NO. 5 MEMBER

06 SUBFAMILY NO. 6 MEMBER

07 SUBFAMILY NO. 7 MEMBER

08 SUBFAMILY NO. 8 MEMBER

09 SUBFAMILY NO. 9 MEMBER

10 SUBFAMILY NO. 10 MEMBER

11 SUBFAMILY NO. 11 MEMBER

12 SUBFAMILY NO. 12 MEMBER

13 SUBFAMILY NO. 13 MEMBER

14 SUBFAMILY NO. 14 MEMBER

15 SUBFAMILY NO. 15 MEMBER

16 SUBFAMILY NO. 16 MEMBER

17 SUBFAMILY NO. 17 MEMBER

18 SUBFAMILY NO. 18 MEMBER

19 SUBFAMILY NO. 19 MEMBER

PRFAMREL 2 FAMILY RELATIONSHIP RECODE 153 - 154

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

0 NOT A FAMILY MEMBER

1 REFERENCE PERSON

2 SPOUSE

NAME SIZE DESCRIPTION LOCATION

6-18

3 CHILD

4 OTHER RELATIVE (PRIMARY FAMILY & UNREL)

PRFAMTYP 2 FAMILY TYPE RECODE 155 - 156

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

1 PRIMARY FAMILY

2 PRIMARY INDIVIDUAL

3 RELATED SUBFAMILY

4 UNRELATED SUBFAMILY

5 SECONDARY INDIVIDUAL

PEHSPNON 2 HISPANIC OR NON-HISPANIC 157 - 158

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

1 HISPANIC

2 NON-HISPANIC

PRMARSTA 2 MARITAL STATUS BASED ON 159 - 160

ARMED FORCES PARTICIPATION

EDITED UNIVERSE: PRPERTYP = 2 0R 3

VALID ENTRIES

1 MARRIED, CIVILIAN SPOUSE PRESENT

2 MARRIED, ARMED FORCES SPOUSE PRESENT

3 MARRIED, SPOUSE ABSENT (EXC. SEPARATED)

4 WIDOWED

5 DIVORCED

6 SEPARATED

7 NEVER MARRIED

PRPERTYP 2 TYPE OF PERSON RECORD RECODE 161 - 162

EDITED UNIVERSE: ALL HOUSEHOLD MEMBERS

VALID ENTRIES

1 CHILD HOUSEHOLD MEMBER

NAME SIZE DESCRIPTION LOCATION

6-19

2 ADULT CIVILIAN HOUSEHOLD MEMBER

3 ADULT ARMED FORCES HOUSEHOLD MEMBER

PENATVTY 3 COUNTRY OF BIRTH 163 - 165

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

057 UNITED STATES

060 AM SAMOA

066 GUAM

073 PUERTO RICO

078 U. S. VIRGIN ISLANDS

096 OTHER U. S. ISLAND AREA

100-554 FOREIGN COUNTRY (SEE APPENDIX)

555 ELSEWHERE

PEMNTVTY 3 MOTHER'S COUNTRY OF BIRTH 166 - 168

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

057 UNITED STATES

060 AM SAMOA

066 GUAM

073 PUERTO RICO

078 U. S. VIRGIN ISLANDS

096 OTHER U. S. ISLAND AREA

100-554 FOREIGN COUNTRY (SEE APPENDIX)

555 ELSEWHERE

PEFNTVTY 3 FATHER'S COUNTRY OF BIRTH 169 - 171

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

057 UNITED STATES

060 AM SAMOA

066 GUAM

073 PUERTO RICO

078 U. S. VIRGIN ISLANDS

096 OTHER U. S. ISLAND AREA

100-554 FOREIGN COUNTRY (SEE APPENDIX)

NAME SIZE DESCRIPTION LOCATION

6-20

555 ELSEWHERE

PRCITSHP 2 CITIZENSHIP STATUS 172 - 173

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

VALID ENTRIES

1 NATIVE, BORN IN THE UNITED STATES

2 NATIVE, BORN IN PUERTO RICO OR OTHER U.S. ISLAND AREAS

3 NATIVE, BORN ABROAD OF AMERICAN PARENT OR PARENTS

4 FOREIGN BORN, U.S. CITIZEN BY NATURALIZATION

5 FOREIGN BORN, NOT A CITIZEN OF THE UNITED STATES

PRCITFLG 2 CITIZENSHIP ALLOCATION FLAG 174 - 175

EDITED UNIVERSE: PRPERTYP = 1, 2, 0R 3

Placed in this position because naming convention is

different from all other allocation flags.

PRINUSYR 2 IMMIGRANT'S YEAR OF ENTRY 176 - 177

EDITED UNIVERSE: PRCITSHP = 2, 3, 4, OR 5

VALID ENTRIES

-1 NOT IN UNIVERSE (BORN IN U.S.)

00 NOT FOREIGN BORN

01 BEFORE 1950

02 1950-1959

03 1960-1964

04 1965-1969

05 1970-1974

06 1975-1979

07 1980-1981

08 1982-1983

09 1984-1985

10 1986-1987

11 1988-1989

12 1990-1991

13 1992-1993

14 1994-1995

15 1996-1997

16 1998-1999

NAME SIZE DESCRIPTION LOCATION

6-21

17 2000-2001

18 2002-2003

19 2004-2005

20 2006-2007

21 2008-2009

22 2010-2011

23 2012-2013

24 2014-2015

25 2016-2017

26 2018-2020

Starting January 2021

26 2018-2021

Starting January 2022

26 2018-2019

27 2020-2022

A4. PERSONS INFORMATION LABOR FORCE ITEMS

PUSLFPRX 2 LABOR FORCE INFORMATION COLLECTED 178 - 179

BY SELF OR PROXY RESPONSE

VALID ENTRIES

1 SELF

2 PROXY

3 BOTH SELF AND PROXY

PEMLR 2 MONTHLY LABOR FORCE RECODE 180 - 181

EDITED UNIVERSE: PRPERTYP = 2

VALID ENTRIES

1 EMPLOYED-AT WORK

2 EMPLOYED-ABSENT

3 UNEMPLOYED-ON LAYOFF

4 UNEMPLOYED-LOOKING

5 NOT IN LABOR FORCE-RETIRED

6 NOT IN LABOR FORCE-DISABLED

7 NOT IN LABOR FORCE-OTHER

PUWK 2 LAST WEEK, DID YOU DO ANY WORK 182 - 183

FOR (EITHER) PAY (OR PROFIT)?

NAME SIZE DESCRIPTION LOCATION

6-22

VALID ENTRIES

1 YES

2 NO

3 RETIRED

4 DISABLED

5 UNABLE TO WORK

PUBUS1 2 LAST WEEK, DID YOU DO ANY 184 - 185

UNPAID WORK IN THE FAMILY

BUSINESS OR FARM?

VALID ENTRIES

1 YES

2 NO

PUBUS2OT 2 DO YOU RECEIVE ANY PAYMENTS 186 - 187

OR PROFITS FROM THE BUSINESS?

VALID ENTRIES

1 YES

2 NO

PUBUSCK1 2 CHECK ITEM 1 188 - 189

FILTER FOR QUESTIONS ON UNPAID WORK

VALID ENTRIES

1 GOTO PUBUS1

2 GOTO PURETCK1

PUBUSCK2 2 CHECK ITEM 2 190 - 191

SKIPS OWNERS OF FAMILY BUSINES WHO DID

NOT WORK LAST WEEK

VALID ENTRIES

1 GOTO PUHRUSL1

2 GOTO PUBUS2

PUBUSCK3 2 CHECK ITEM 3 192 - 193

NAME SIZE DESCRIPTION LOCATION

6-23

VALID ENTRIES

1 GOTO PUABSRSN

2 GOTO PULAY

PUBUSCK4 2 CHECK ITEM 4 194 - 195

VALID ENTRIES

1 GOTO PUHRUSL1

2 GOTO PUABSPD

PURETOT 2 RETIREMENT STATUS 196 - 197

(LAST MONTH YOU WERE REPORTED TO BE

RETIRED, ARE YOU STILL RETIRED THIS MONTH?)

VALID ENTRIES

1 YES

2 NO

3 WAS NOT RETIRED LAST MONTH

PUDIS 2 DISABILITY STATUS 198 - 199

(LAST MONTH YOU WERE REPORTED TO

HAVE A DISABILITY.) DOES YOUR DISABILITY

CONTINUE TO PREVENT YOU FROM DOING ANY KIND

OF WORK FOR THE NEXT 6 MONTHS?

VALID ENTRIES

1 YES

2 NO

3 DID NOT HAVE DISABILITY LAST MONTH

PERET1 2 DO YOU CURRENTLY WANT A JOB, EITHER 200 - 201

FULL OR PART-TIME?

EDITED UNIVERSE: PEMLR = 5 AND (PURETOT = 1 OR

(PUWK = 3 AND PRTAGE >= 50) OR

(PUABS = 3 AND PRTAGE >= 50) OR

(PULAY = 3 AND PRTAGE >= 50))

VALID ENTRIES

1 YES

2 NO

3 HAS A JOB

NAME SIZE DESCRIPTION LOCATION

6-24

PUDIS1 2 DOES YOUR DISABILITY PREVENT YOU FROM 202 - 203

ACCEPTING ANY KIND OF WORK DURING

THE NEXT SIX MONTHS?

VALID ENTRIES

1 YES

2 NO

PUDIS2 2 DO YOU HAVE A DISABILITY THAT PREVENTS 204 - 205

YOU FROM ACCEPTING ANY KIND OF WORK

DURING THE NEXT SIX MONTHS?

VALID ENTRIES

1 YES

2 NO

PUABSOT 2 LAST WEEK DID YOU HAVE A JOB 206 - 207

EITHER FULL OR PART-TIME?

VALID ENTRIES

1 YES

2 NO

3 RETIRED

4 DISABLED

5 UNABLE TO WORK

PULAY 2 LAST WEEK, WERE YOU ON LAYOFF 208 - 209

FROM A JOB?

VALID ENTRIES

1 YES

2 NO

3 RETIRED

4 DISABLED

5 UNABLE TO WORK

PEABSRSN 2 WHAT IS THE MAIN REASON YOU 210 - 211

WERE ABSENT FROM WORK LAST WEEK?

EDITED UNIVERSE: PEMLR = 2

VALID ENTRIES

1 ON LAYOFF

NAME SIZE DESCRIPTION LOCATION

6-25

2 SLACK WORK/BUSINESS CONDITIONS

3 WAITING FOR A NEW JOB TO BEGIN

4 VACATION/PERSONAL DAYS

5 OWN ILLNESS/INJURY/MEDICAL PROBLEMS

6 CHILD CARE PROBLEMS

7 OTHER FAMILY/PERSONAL OBLIGATION

8 MATERNITY/PATERNITY LEAVE

9 LABOR DISPUTE

10 WEATHER AFFECTED JOB

11 SCHOOL/TRAINING

12 CIVIC/MILITARY DUTY

13 DOES NOT WORK IN THE BUSINESS

14 OTHER (SPECIFY)

PEABSPDO 2 ARE YOU BEING PAID BY YOUR 212 - 213

EMPLOYER FOR ANY OF THE

TIME OFF LAST WEEK?

EDITED UNIVERSE: PEABSRSN = 4-12, 14

VALID ENTRIES

1 YES

2 NO

PEMJOT 2 DO YOU HAVE MORE THAN ONE JOB? 214 - 215

EDITED UNIVERSE: PEMLR = 1, 2

VALID ENTRIES

1 YES

2 NO

PEMJNUM 2 ALTOGETHER, HOW MANY JOBS 216 - 217

DID YOU HAVE?

EDITED UNIVERSE: PEMJOT = 1

VALID ENTRIES

2 2 JOBS

3 3 JOBS

4 4 OR MORE JOBS

NAME SIZE DESCRIPTION LOCATION

6-26

PEHRUSL1 2 HOW MANY HOURS PER WEEK DO YOU 218 - 219

USUALLY WORK AT YOUR MAIN JOB?

EDITED UNIVERSE: PEMJOT = 1 OR 2 AND PEMLR = 1 OR 2

VALID ENTRIES

-4 HOURS VARY

0 MIN VALUE

99 MAX VALUE

PEHRUSL2 2 HOW MANY HOURS PER WEEK DO YOU 220 - 221

USUALLY WORK AT YOUR OTHER (JOB/JOBS)?

EDITED UNIVERSE: PEMJOT = 1 AND PEMLR = 1 OR 2

VALID ENTRIES

-4 HOURS VARY

0 MIN VALUE

99 MAX VALUE

PEHRFTPT 2 DO YOU USUALLY WORK 35 HOURS OR 222 - 223

MORE PER WEEK?

EDITED UNIVERSE: PEHRUSL1 = -4 OR PEHRUSL2 = -4

VALID ENTRIES

1 YES

2 NO

3 HOURS VARY

PEHRUSLT 3 SUM OF HRUSL1 AND HRUSL2. 224 - 226

EDITED UNIVERSE: PEMLR = 1 OR 2

VALID ENTRIES

-4 VARIES

0 MIN VALUE

198 MAX VALUE

PEHRWANT 2 DO YOU WANT TO WORK A FULL-TIME 227 - 228

WORK WEEK OF 35 HOURS OR MORE PER WEEK?

NAME SIZE DESCRIPTION LOCATION

6-27

EDITED UNIVERSE: PEMLR = 1 AND (PEHRUSLT = 0-34

PEHRFTPT = 2)

VALID ENTRIES

1 YES

2 NO

3 REGULAR HOURS ARE FULL-TIME

PEHRRSN1 2 WHAT IS YOUR MAIN REASON FOR 229 - 230

WORKING PART-TIME?

EDITED UNIVERSE: PEHRWANT = 1 (PEMLR = 1 AND PEHRUSLT < 35)

VALID ENTRIES

1 SLACK WORK/BUSINESS CONDITIONS

2 COULD ONLY FIND PART-TIME WORK

3 SEASONAL WORK

4 CHILD CARE PROBLEMS

5 OTHER FAMILY/PERSONAL OBLIGATIONS

6 HEALTH/MEDICAL LIMITATIONS

7 SCHOOL/TRAINING

8 RETIRED/SOCIAL SECURITY LIMIT ON EARNINGS

9 FULL-TIME WORKWEEK IS LESS THAN 35 HRS

10 OTHER - SPECIFY

PEHRRSN2 2 WHAT IS THE MAIN REASON YOU DO NOT 231 - 232

WANT TO WORK FULL-TIME?

EDITED UNIVERSE: PEHRWANT = 2 (PEMLR = 1 AND PEHRUSLT < 35)

VALID ENTRIES

1 CHILD CARE PROBLEMS

2 OTHER FAMILY/PERSONAL OBLIGATIONS

3 HEALTH/MEDICAL LIMITATIONS

4 SCHOOL/TRAINING

5 RETIRED/SOCIAL SECURITY LIMIT ON EARNINGS

6 FULL-TIME WORKWEEK LESS THAN 35 HOURS

7 OTHER - SPECIFY

PEHRRSN3 2 WHAT IS THE MAIN REASON YOU WORKED 233 - 234

LESS THAN 35 HOURS LAST WEEK?

EDITED UNIVERSE: PEHRACTT = 1-34 AND PUHRCK7 NE 1, 2

NAME SIZE DESCRIPTION LOCATION

6-28

(PEMLR = 1 AND PEHRUSLT = 35+)

VALID ENTRIES

1 SLACK WORK/BUSINESS CONDITIONS

2 SEASONAL WORK

3 JOB STARTED OR ENDED DURING WEEK

4 VACATION/PERSONAL DAY

5 OWN ILLNESS/INJURY/MEDICAL APPOINTMENT

6 HOLIDAY (LEGAL OR RELIGIOUS)

7 CHILD CARE PROBLEMS

8 OTHER FAMILY/PERSONAL OBLIGATIONS

9 LABOR DISPUTE

10 WEATHER AFFECTED JOB

11 SCHOOL/TRAINING

12 CIVIC/MILITARY DUTY

13 OTHER REASON

PUHROFF1 2 LAST WEEK, DID YOU LOSE OR TAKE 235 - 236

OFF ANY HOURS FROM YOUR JOB, FOR

ANY REASON SUCH AS ILLNESS, SLACK WORK,

VACATION, OR HOLIDAY?

VALID ENTRIES

1 YES

2 NO

PUHROFF2 2 HOW MANY HOURS DID YOU TAKE OFF? 237 - 238

VALID ENTRIES

0 MIN VALUE

99 MAX VALUE

PUHROT1 2 LAST WEEK, DID YOU WORK ANY 239 - 240

OVERTIME OR EXTRA HOURS (AT YOUR MAIN JOB)

THAT YOU DO NOT USUALLY WORK?

VALID ENTRIES

1 YES

2 NO

NAME SIZE DESCRIPTION LOCATION

6-29

PUHROT2 2 HOW MANY ADDITIONAL HOURS 241 - 242

DID YOU WORK?

VALID ENTRIES

0 MIN VALUE

99 MAX VALUE

PEHRACT1 2 LAST WEEK, HOW MANY HOURS DID YOU 243 - 244

ACTUALLY WORK AT YOUR JOB?

EDITED UNIVERSE: PEMLR = 1

VALID ENTRIES

0 MIN VALUE

99 MAX VALUE

PEHRACT2 2 LAST WEEK, HOW MANY HOURS DID 245 - 246

YOU ACTUALLY WORK AT YOUR OTHER (JOB/JOBS)

EDITED UNIVERSE: PEMLR = 1 AND PEMJOT = 1

VALID ENTRIES

0 MIN VALUE

99 MAX VALUE

PEHRACTT 3 SUM OF PEHRACT1 AND PEHRACT2. 247 - 249

EDITED UNIVERSE: PEMLR = 1

VALID ENTRIES

0 MIN VALUE

198 MAX VALUE

PEHRAVL 2 LAST WEEK, COULD YOU HAVE WORKED 250 - 251

FULL-TIME IF THE HOURS HAD BEEN AVAILABLE?

EDITED UNIVERSE: PEHRACTT = 1-34 (PEMLR = 1 AND

PEHRUSLT < 35 AND PEHRRSN1 = 1, 2, 3)

NAME SIZE DESCRIPTION LOCATION

6-30

VALID ENTRIES

1 YES

2 NO

FILLER 5 252 - 256

PUHRCK1 2 CHECK ITEM 1 257 - 258

VALID ENTRIES

1 GOTO PUHRUSL2

2 GOTO PUHRUSLT

PUHRCK2 2 CHECK ITEM 2 259 - 260

SKIPS PERSONS RESPONDING YES TO

HRFTPT OUT OF PT SERIES

VALID ENTRIES

1 IF ENTRY OF 1 IN MJ AND

ENTRY OF D, R OR V IN HRUSL1

AND ENTRY OF D, R, V OR 0-34

IN HRUSL2 GOTO HRFTPT

2 IF ENTRY OF 1 IN MJ AND ENTRY

OF D, R OR V IN HRUSL2 AND

ENTRY OF D, R V OR 0-34 IN

HRUSL1 GOTO HRFTPT

3 IF ENTRY OF 2, D OR R IN MJ

AND ENTRY OF D, R OR V IN HRUSL1

GOTO HRFTPT

4 IF ENTRY OF 1 IN BUS1 AND ENTRY

OF D, R OR V IN HRUSL1 THEN

GOTO HRFTPT

5 ALL OTHERS GOTO HRCK3-C

PUHRCK3 2 CHECK ITEM 3 261 - 262

VALID ENTRIES

1 IF ENTRY OF 1 IN ABSOT OR

(ENTRY OR 2 IN ABSOT AND

ENTRY OF 1 IN BUS AND CURRENT

NAME SIZE DESCRIPTION LOCATION

6-31

R_P EQUALS BUSLST) THEN GOTO HRCK8

2 IF ENTRY OF 3 IN RET1 GOTO HRCK8

3 IF ENTRY IN HRUSLT IS 0-34 HOURS GOTO HRCK4-C

4 IF ENTRY IN HRUSLT IS 35+ GOTO HROFF1

5 ALL OTHERS GOTO HRCK4-C

6 GOTO PUHRCK4

PUHRCK4 2 CHECK ITEM 4 263 - 264

VALID ENTRIES

1 IF ENTRY OF 1, D, R OR V

IN HRFTPT THEN GOTO HRACT1

2 IF ENTRY OF 2, D OR R IN BUS2 THEN GOTO HROFF1

3 IF HRUSLT IS 0-34 THEN GOTO HRWANT

4 IF ENTRY OF 2 IN HRFTPT THEN GOTO HRWANT

5 ALL OTHERS GOTO HRACT1

PUHRCK5 2 CHECK ITEM 5 265 – 266

VALID ENTRIES

1 IF ENTRY OF 1 IN MJOT GOTO HRACT2

2 ALL OTHERS GOTO HRCK6-C

PUHRCK6 2 CHECK ITEM 6 267 - 268

VALID ENTRIES

1 IF HRACT1 AND HRACT2 EQ 0 AND

ENTRY OF 2, D, R IN BUS2 THEN GOTO LK

2 IF HRACT1 AND HRACT2 EQ 0 THEN

STORE 1 IN ABSOT AND GOTO ABSRSN

3 ALL OTHERS GOTO HRACTT-C

PUHRCK7 2 CHECK ITEM 7 269 - 270

VALID ENTRIES

1 (IF ENTRY OF 2, D OR R IN BUS2) AND

(HRACT1 LESS THAN 15 OR D) GOTO HRCK8

2 (IF ENTRY OF 2, D OR R IN BUS2) AND

(HRACT1 IS 15+) GOTO HRCK8

3 (IF HRUSLT IS 35+ OR IF ENTRY OF 1 IN HRFTPT)

AND (HRACTT < 35) AND ENTRY IN HRACT1 OR HRACT2

NAME SIZE DESCRIPTION LOCATION

6-32

ISN'T D OR R THEN GOTO HRRSN3

4 IF ENTRY OF 1 IN HRWANT AND HRACTT < 35

AND (ENTRY OF 1, 2, 3 IN HRRSN1) GOTO HRAVL

5 ALL OTHERS GOTO HRCK8

PUHRCK12 2 CHECK ITEM 12 271 – 272

VALID ENTRIES

1 IF ENTRY OF 2, D OR R IN BUS2

AND HRACTT IS LESS THAN 15

OR D GOTO LK

2 ALL OTHERS GOTO IOCK1

PULAYDT 2 HAS YOUR EMPLOYER GIVEN YOU A DATE 273 - 274

TO RETURN TO WORK?

VALID ENTRIES

1 YES

2 NO

PULAY6M 2 HAVE YOU BEEN GIVEN ANY INDICATION 275 - 276

THAT YOU WILL BE RECALLED TO WORK WITHIN

THE NEXT 6 MONTHS?

VALID ENTRIES

1 YES

2 NO

PELAYAVL 2 COULD YOU HAVE RETURNED TO WORK 277 - 278

LAST WEEK IF YOU HAD BEEN RECALLED?

EDITED UNIVERSE: PEMLR = 3

VALID ENTRIES

1 YES

2 NO

PULAYAVR 2 WHY IS THAT? 279 - 280

VALID ENTRIES

1 OWN TEMPORARY ILLNESS

NAME SIZE DESCRIPTION LOCATION

6-33

2 GOING TO SCHOOL

3 OTHER

PELAYLK 2 EVEN THOUGH YOU ARE TO BE CALLED BACK 281 - 282

TO WORK, HAVE YOU BEEN LOOKING FOR WORK

DURING THE LAST 4 WEEKS.

EDITED UNIVERSE: PELAYAVL= 1, 2

VALID ENTRIES

1 YES

2 NO

PELAYDUR 3 DURATION OF LAYOFF 283 - 285

EDITED UNIVERSE: PELAYLK = 1, 2

VALID ENTRIES

01-51 Weeks on layoff

52 52 weeks or more

Topcoded at 52 weeks starting April 2011

PELAYFTO 2 FT/PT STATUS OF JOB FROM WHICH 286 - 287

SAMPLE PERSON WAS ON LAYOFF FROM

EDITED UNIVERSE: PELAYDUR = 0-120

VALID ENTRIES

1 YES

2 NO

PULAYCK1 2 CHECK ITEM 1 288 - 289

VALID ENTRIES

1 GOTO PULAYCK3

2 GOTO PULAYFT

3 GOTO PULAYDR

PULAYCK2 2 CHECK ITEM 2 290 - 291

SCREEN FOR DEPENDENT LAYOFF

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-34

1 GOTO PULAYDR3

2 GOTO PULAYFT

PULAYCK3 2 CHECK ITEM 3 292 - 293

FILTER FOR DEPENDENT I & O

VALID ENTRIES

1 MISCK = 5 GOTO IO1INT

2 I-ICR = 1 OR I-OCR = 1, GOTO IO1INT

3 ALL OTHERS GOTO SCHCK

PULK 2 HAVE YOU BEEN DOING ANYTHING TO FIND 294 - 295

WORK DURING THE LAST 4 WEEKS?

VALID ENTRIES

1 YES

2 NO

3 RETIRED

4 DISABLED

5 UNABLE TO WORK

PELKM1 2 WHAT ARE ALL OF THE THINGS YOU HAVE 296 - 297

DONE TO FIND WORK DURING THE LAST

4 WEEKS? (FIRST METHOD)

EDITED UNIVERSE: PEMLR = 4

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

12 NOTHING

13 OTHER PASSIVE

PULKM2 2 ANYTHING ELSE? (SECOND METHOD) 298 - 299

NAME SIZE DESCRIPTION LOCATION

6-35

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKM3 2 SAME AS PULKM2 (THIRD METHOD) 300 - 301

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKM4 2 SAME AS PULKM2 (FOURTH METHOD) 302 - 303

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

NAME SIZE DESCRIPTION LOCATION

6-36

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKM5 2 SAME AS PULKM2 (FIFTH METHOD) 304 - 305

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKM6 2 SAME AS PULKM2 (SIXTH METHOD) 306 - 307

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKDK1 2 YOU SAID YOU HAVE BEEN TRYING TO 308 - 309

FIND WORK. HOW DID YOU GO ABOUT LOOKING?

(FIRST METHOD)

NAME SIZE DESCRIPTION LOCATION

6-37

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

12 NOTHING

13 OTHER PASSIVE

PULKDK2 2 ANYTHING ELSE? (SECOND METHOD) 310 - 311

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKDK3 2 SAME AS PULKDK2 (THIRD METHOD) 312 - 313

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

NAME SIZE DESCRIPTION LOCATION

6-38

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKDK4 2 SAME AS PULKDK2 (FOURTH METHOD) 314 - 315

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKDK5 2 SAME AS PULKDK2 (FIFTH METHOD) 316 - 317

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKDK6 2 SAME AS PULKDK2 (SIXTH METHOD) 318 – 319

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

NAME SIZE DESCRIPTION LOCATION

6-39

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKPS1 2 CAN YOU TELL ME MORE ABOUT WHAT YOU 320 - 321

DID TO SEARCH FOR WORK?

(FIRST METHOD)

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

12 NOTHING

13 OTHER PASSIVE

PULKPS2 2 ANYTHING ELSE? (SECOND METHOD) 322 - 323

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

NAME SIZE DESCRIPTION LOCATION

6-40

13 OTHER PASSIVE

PULKPS3 2 SAME AS PULKPS2 (THIRD METHOD) 324 - 325

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKPS4 2 SAME AS PULKPS2 (FOURTH METHOD) 326 - 327

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKPS5 2 SAME AS PULKPS2 (FIFTH METHOD) 328 - 329

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

NAME SIZE DESCRIPTION LOCATION

6-41

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PULKPS6 2 SAME AS PULKPS2 (SIXTH METHOD) 330 - 331

VALID ENTRIES

1 CONTACTED EMPLOYER DIRECTLY/INTERVIEW

2 CONTACTED PUBLIC EMPLOYMENT AGENCY

3 CONTACTED PRIVATE EMPLOYMENT AGENCY

4 CONTACTED FRIENDS OR RELATIVES

5 CONTACTED SCHOOL/UNIVERSITY EMPL CENTER

6 SENT OUT RESUMES/FILLED OUT APPLICATION

7 CHECKED UNION/PROFESSIONAL REGISTERS

8 PLACED OR ANSWERED ADS

9 OTHER ACTIVE

10 LOOKED AT ADS

11 ATTENDED JOB TRAINING PROGRAMS/COURSES

13 OTHER PASSIVE

PELKAVL 2 LAST WEEK, COULD YOU HAVE STARTED 332 - 333

A JOB IF ONE HAD BEEN OFFERED?

EDITED UNIVERSE: PELKM1 = 1 - 13

VALID ENTRIES

1 YES

2 NO

PULKAVR 2 WHY IS THAT? 334 - 335

VALID ENTRIES

1 WAITING FOR NEW JOB TO BEGIN

2 OWN TEMPORARY ILLNESS

3 GOING TO SCHOOL

4 OTHER - SPECIFY

NAME SIZE DESCRIPTION LOCATION

6-42

PELKLL1O 2 BEFORE YOU STARTED LOOKING FOR WORK, 336 - 337

WHAT WERE YOU DOING: WORKING, GOING

TO SCHOOL, OR SOMETHING ELSE?

EDITED UNIVERSE: PELKAVL = 1-2

VALID ENTRIES

1 WORKING

2 SCHOOL

3 LEFT MILITARY SERVICE

4 SOMETHING ELSE

PELKLL2O 2 DID YOU LOSE OR QUIT THAT JOB, OR WAS IT 338 - 339

A TEMPORARY JOB THAT ENDED?

EDITED UNIVERSE: PELKLL1O = 1 OR 3

VALID ENTRIES

1 LOST JOB

2 QUIT JOB

3 TEMPORARY JOB ENDED

PELKLWO 2 WHEN LAST WORKED 340 - 341

EDITED UNIVERSE: PELKLL1O = 1 - 4

VALID ENTRIES

1 WITHIN THE LAST 12 MONTHS

2 MORE THAN 12 MONTHS AGO

3 NEVER WORKED

PELKDUR 3 DURATION OF JOB SEEKING 342 - 344

EDITED UNIVERSE: PELKLWO = 1 - 3

VALID ENTRIES

0-118 Weeks looking for work

119 119 or more weeks looking

Topcoded at 119 weeks starting April 2011

NAME SIZE DESCRIPTION LOCATION

6-43

PELKFTO 2 FT/PT STATUS OF JOBSEEKER 345 - 346

EDITED UNIVERSE: PELKDUR = 0-120

VALID ENTRIES

1 YES

2 NO

3 DOESN'T MATTER

PEDWWNTO 2 DO YOU CURRENTLY WANT A JOB, 347 - 348

EITHER FULL OR PART TIME?

EDITED UNIVERSE: PUDWCK1 = 3, 4, -1

VALID ENTRIES

1 YES, OR MAYBE, IT DEPENDS

2 NO

3 RETIRED

4 DISABLED

5 UNABLE

PEDWRSN 2 WHAT IS THE MAIN REASON YOU WERE NOT 349 - 350

LOOKING FOR WORK DURING THE LAST 4 WEEKS?

EDITED UNIVERSE: PUDWCK4 = 4, -1

VALID ENTRIES

1 BELIEVES NO WORK AVAILABLE IN AREA OF EXPERTISE

2 COULDN'T FIND ANY WORK

3 LACKS NECESSARY SCHOOLING/TRAINING

4 EMPLOYERS THINK TOO YOUNG OR TOO OLD

5 OTHER TYPES OF DISCRIMINATION

6 CAN'T ARRANGE CHILD CARE

7 FAMILY RESPONSIBILITIES

8 IN SCHOOL OR OTHER TRAINING

9 ILL-HEALTH, PHYSICAL DISABILITY

10 TRANSPORTATION PROBLEMS

11 OTHER - SPECIFY

PEDWLKO 2 DID YOU LOOK FOR WORK AT ANY TIME 351 - 352

IN THE LAST 12 MONTHS

NAME SIZE DESCRIPTION LOCATION

6-44

EDITED UNIVERSE: (PUDWCK4 = 1-3) or (PEDWRSN = 1-11)

VALID ENTRIES

1 YES

2 NO

PEDWWK 2 DID YOU ACTUALLY WORK AT A JOB OR 353 - 354

BUSINESS DURING THE LAST 12 MONTHS?

EDITED UNIVERSE: PEDWLKO = 1

VALID ENTRIES

1 YES

2 NO

PEDW4WK 2 DID YOU DO ANY OF THIS WORK DURING 355 - 356

THE LAST 4 WEEKS?

EDITED UNIVERSE: PEDWWK = 1

VALID ENTRIES

1 YES

2 NO

PEDWLKWK 2 SINCE YOU LEFT THAT JOB OR 357 - 358

BUSINESS HAVE YOU LOOKED FOR WORK?

EDITED UNIVERSE: PEDW4WK = 2

VALID ENTRIES

1 YES

2 NO

PEDWAVL 2 LAST WEEK, COULD YOU HAVE STARTED 359 - 360

A JOB IF ONE HAD BEEN OFFERED?

EDITED UNIVERSE: (PEDWWK = 2) or (PEDWLKWK = 1)

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-45

1 YES

2 NO

PEDWAVR 2 WHY IS THAT? 361 - 362

EDITED UNIVERSE: PEDWAVL = 2

VALID ENTRIES

1 OWN TEMPORARY ILLNESS

2 GOING TO SCHOOL

3 OTHER

PUDWCK1 2 SCREEN FOR DISCOURAGED WORKERS 363 - 364

VALID ENTRIES

1 IF ENTRY OF 2 IN BUS2 GOTO PUSCHCK

2 IF ENTRY OF 3 ON ABSRSN GOTO PUNLFCK1

3 IF ENTRY OF 1 IN RET1, STORE 1 IN DWWNTO

AND GOTO PUDWCK4

4 ALL OTHERS GOTO PUDWWNT

PUDWCK2 2 SCREEN FOR DISABLED 365 - 366

VALID ENTRIES

1 IF ENTRY IN DIS1 OR DIS2 GOTO PUJHCK1-C

2 IF ENTRY OF 4 IN DWWNT GOTO PUDIS1

3 IF ENTRY OF 5 IN DWWNT GOTO PUDIS2

4 ALL OTHERS GOTO PUDWCK4

PUDWCK3 2 FILTER FOR RETIRED 367 - 368

VALID ENTRIES

1 IF AGERNG EQUALS 1-4 OR 9 GOTO PUDWCK4

2 ALL OTHERS GOTO PUNLFCK2

PUDWCK4 2 FILTER FOR PASSIVE JOB SEEKERS 369 - 370

VALID ENTRIES

1 IF ENTRY OF 10 AND/OR 11 AND/OR 13

ONLY IN LKM1-LKM3 GOTO PUDWCK5

2 IF ENTRY OF 10 AND/OR 11 AND/OR 13

NAME SIZE DESCRIPTION LOCATION

6-46

ONLY IN LKDK1-LKDK3 GOTO PUDWCK5

3 IF ENTRY OF 10 AND/OR 11 AND/OR 13

ONLY IN LKPS1-LKPS3 GOTO PUDWCK5

4 ALL OTHERS GOTO PUDWRSN

PUDWCK5 2 FILTER FOR PASSIVE JOB SEEKERS 371 - 372

VALID ENTRIES

1 IF ENTRY OF 1 IN LK THEN STORE 1

IN DWLKO AND GOTO PUDWWK

2 ALL OTHERS GOTO PUDWLK

PEJHWKO 2 HAVE YOU WORKED AT A JOB OR BUSINESS 373 - 374

AT ANY TIME DURING THE PAST 12 MONTHS?

EDITED UNIVERSE: HRMIS = 4 or 8 AND PEMLR = 5, 6, AND 7

VALID ENTRIES

1 YES

2 NO

PUJHDP1O 2 DID YOU DO ANY OF THIS WORK IN 375 - 376

THE LAST 4 WEEKS?

VALID ENTRIES

1 YES

2 NO

PEJHRSN 2 WHAT IS THE MAIN REASON YOU LEFT 377 - 378

YOUR LAST JOB?

EDITED UNIVERSE: PEJHWKO = 1

VALID ENTRIES

1 PERSONAL/FAMILY (INCLUDING PREGNANCY)

2 RETURN TO SCHOOL

3 HEALTH

4 RETIREMENT OR OLD AGE

5 TEMP, SEASONAL OR INTERMITTENT JOB COMPLETE

6 SLACK WORK/BUSINESS CONDITIONS

7 UNSATISFACTORY WORK ARRANGEMENTS (HRS, PAY, ETC.)

8 OTHER - SPECIFY

NAME SIZE DESCRIPTION LOCATION

6-47

PEJHWANT 2 DO YOU INTEND TO LOOK FOR WORK DURING 379 - 380

THE NEXT 12 MONTHS?

EDITED UNIVERSE: (PEJHWKO = 2) or (PEJHRSN = 1-8)

VALID ENTRIES

1 YES, OR IT DEPENDS

2 NO

PUJHCK1 2 FILTER FOR OUTGOING ROTATIONS 381 - 382

VALID ENTRIES

1 PURET1 = 1, -2, OR -3

THEN GOTO NLFCK2

2 IF MISCK EQUALS 4 OR 8

THEN GOTO PUJHCK2

3 ALL OTHERS GOTO PUNLFCK1

PUJHCK2 2 FILTER FOR PERSONS GOING THROUGH THE 383 - 384

I AND O SERIES

VALID ENTRIES

1 IF ENTRY OF 1 IN DWWK AND I-MLR= 3, 4

THEN STORE 1 IN JHWKO, STORE

DW4WK IN JHDP1O AND GOTO PUJHRSN

2 IF ENTRY OF 2, D OR R IN DWWK THEN STORE DWWK IN

JHWKO AND GOTO PUJHWANT

3 ALL OTHERS GOTO PUJHWK

PRABSREA 2 REASON NOT AT WORK AND PAY STATUS 385 - 386

EDITED UNIVERSE: PEMLR = 2

VALID ENTRIES

1 FT PAID-VACATION

2 FT PAID-OWN ILLNESS

3 FT PAID-CHILD CARE PROBLEMS

4 FT PAID-OTHER FAMILY/PERSONAL OBLIG.

5 FT PAID-MATERNITY/PATERNITY LEAVE

6 FT PAID-LABOR DISPUTE

NAME SIZE DESCRIPTION LOCATION

6-48

7 FT PAID-WEATHER AFFECTED JOB

8 FT PAID-SCHOOL/TRAINING

9 FT PAID-CIVIC/MILITARY DUTY

10 FT PAID-OTHER

11 FT UNPAID-VACATION

12 FT UNPAID-OWN ILLNESS

13 FT UNPAID-CHILD CARE PROBLEMS

14 FT UNPAID-OTHER FAM/PERSONAL OBLIGATION

15 FT UNPAID-MATERNITY/PATERNITY LEAVE

16 FT UNPAID-LABOR DISPUTE

17 FT UNPAID-WEATHER AFFECTED JOB

18 FT UNPAID-SCHOOL/TRAINING

19 FT UNPAID-CIVIC/MILITARY DUTY

20 FT UNPAID-OTHER

21 PT PAID-VACATION

22 PT PAID-OWN ILLNESS

23 PT PAID-CHILD CARE PROBLEMS

24 PT PAID-OTHER FAMILY/PERSONAL OBLIG.

25 PT PAID-MATERNITY/PATERNITY LEAVE

26 PT PAID-LABOR DISPUTE

27 PT PAID-WEATHER AFFECTED JOB

28 PT PAID-SCHOOL/TRAINING

29 PT PAID-CIVIC/MILITARY DUTY

30 PT PAID-OTHER

31 PT UNPAID-VACATION

32 PT UNPAID-OWN ILLNESS

33 PT UNPAID-CHILD CARE PROBLEMS

34 P

T UNPAID-OTHER FAM/PERSONAL OBLIGATION

35 PT UNPAID-MATERNITY/PATERNITY LEAVE

36 PT UNPAID-LABOR DISPUTE

37 PT UNPAID-WEATHER AFFECTED JOB

38 PT UNPAID-SCHOOL/TRAINING

39 PT UNPAID-CIVIC/MILITARY DUTY

40 PT UNPAID-OTHER

PRCIVLF 2 CIVILIAN LABOR FORCE 387 - 388

EDITED UNIVERSE: PEMLR = 1-7

VALID ENTRIES

01 IN CIVILIAN LABOR FORCE

02 NOT IN CIVILIAN LABOR FORCE

PRDISC 2 DISCOURAGED WORKER RECODE 389 - 390

NAME SIZE DESCRIPTION LOCATION

6-49

EDITED UNIVERSE: PRJOBSEA = 1-4

VALID ENTRIES

1 DISCOURAGED WORKER

2 CONDITIONALLY INTERESTED

3 NOT AVAILABLE

PREMPHRS 2 REASON NOT AT WORK OR HOURS AT WORK 391 - 392

EDITED UNIVERSE: PEMLR = 1-7

VALID ENTRIES

0 UNEMPLOYED AND NILF

1 W/JOB, NOT AT WORK-ILLNES

2 W/JOB, NOT AT WORK-VACATION

3 W/JOB, NOT AT WORK-WEATHER AFFECTED JOB

4 W/JOB, NOT AT WORK-LABOR DISPUTE

5 W/JOB, NOT AT WORK-CHILD CARE PROBLEMS

6 W/JOB, NOT AT WORK-FAM/PERS OBLIGATION

7 W/JOB, NOT AT WORK-MATERNITY/PATERNITY

8 W/JOB, NOT AT WORK-SCHOOL/TRAINING

9 W/JOB, NOT AT WORK-CIVIC/MILITARY DUTY

10 W/JOB, NOT AT WORK-DOES NOT WORK IN BUS

11 W/JOB, NOT AT WORK-OTHER

12 AT WORK- 1-4 HRS

13 AT WORK- 5-14 HRS

14 AT WORK- 15-21 HRS

15 AT WORK- 22-29 HRS

16 AT WORK- 30-34 HRS

17 AT WORK- 35-39 HRS

18 AT WORK- 40 HRS

19 AT WORK- 41-47 HRS

20 AT WORK- 48 HRS

21 AT WORK- 49-59 HRS

22 AT WORK- 60 HRS OR MORE

PREMPNOT 2 MLR - EMPLOYED, UNEMPLOYED, OR NILF 393 - 394

EDITED UNIVERSE: PEMLR = 1-7

VALID ENTRIES

1 EMPLOYED

NAME SIZE DESCRIPTION LOCATION

6-50

2 UNEMPLOYED

3 NOT IN LABOR FORCE (NILF)-discouraged

4 NOT IN LABOR FORCE (NILF)-other

PREXPLF 2 EXPERIENCED LABOR FORCE EMPLOYMENT 395 - 396

EDITED UNIVERSE: PEMLR = 1-4 AND

PELKLWO ne 3

VALID ENTRIES

1 EMPLOYED

2 UNEMPLOYED

PRFTLF 2 FULL TIME LABOR FORCE 397 - 398

EDITED UNIVERSE: PEMLR = 1-4

VALID ENTRIES

1 FULL TIME LABOR FORCE

2 PART TIME LABOR FORCE

PRHRUSL 2 USUAL HOURS WORKED WEEKLY 399 - 400

EDITED UNIVERSE: PEMLR = 1-2

VALID ENTRIES

1 0-20 HRS

2 21-34 HRS

3 35-39 HRS

4 40 HRS

5 41-49 HRS

6 50 OR MORE HRS

7 VARIES-FULL TIME

8 VARIES-PART TIME

PRJOBSEA 2 JOB SEARCH RECODE 401 - 402

EDITED UNIVERSE: PRWNTJOB = 1

VALID ENTRIES

1 LOOKED LAST 12 MONTHS, SINCE COMPLETING PREVIOUS JOB

2 LOOKED AND WORKED IN THE LAST 4 WEEKS

NAME SIZE DESCRIPTION LOCATION

6-51

3 LOOKED LAST 4 WEEKS - LAYOFF

4 UNAVAILABLE JOB SEEKERS

5 NO RECENT JOB SEARCH

PRPTHRS 2 AT WORK 1-34 BY HOURS AT WORK 403 - 404

EDITED UNIVERSE: PEMLR = 1 AND

PEHRACTT = 1-34

VALID ENTRIES

0 USUALLY FT, PT FOR NONECONOMIC REASONS

1 USUALLY.FT, PT ECON REASONS; 1-4 HRS

2 USUALLY.FT, PT ECON REASONS; 5-14 HRS

3 USUALLY.FT, PT ECON REASONS; 15-29 HRS

4 USUALLY.FT, PT ECON REASONS; 30-34 HRS

5 USUALLY.PT, ECON REASONS; 1-4 HRS

6 USUALLY.PT, ECON REASONS; 5-14 HRS

7 USUALLY.PT, ECON REASONS; 15-29 HRS

8 USUALLY.PT, ECON REASONS; 30-34 HRS

9 USUALLY.PT, NON-ECON REASONS; 1-4 HRS

10 USUALLY.PT, NON-ECON REASONS; 5-14 HRS

11 USUALLY.PT, NON-ECON REASONS; 15-29 HRS

12 USUALLY.PT, NON-ECON REASONS; 30-34 HRS

PRPTREA 2 DETAILED REASON FOR PART-TIME 405 - 406

EDITED UNIVERSE: PEMLR = 1 AND

(PEHRUSLT = 0-34 OR PEHRACTT = 1-34)

VALID ENTRIES

1 USU. FT-SLACK WORK/BUSINESS CONDITIONS

2 USU. FT-SEASONAL WORK

3 USU. FT-JOB STARTED/ENDED DURING WEEK

4 USU. FT-VACATION/PERSONAL DAY

5 USU. FT-OWN ILLNESS/INJURY/MEDICAL APPOINTMENT

6 USU. FT-HOLIDAY (RELIGIOUS OR LEGAL)

7 USU. FT-CHILD CARE PROBLEMS

8 USU. FT-OTHER FAM/PERS OBLIGATIONS

9 USU. FT-LABOR DISPUTE

10 USU. FT-WEATHER AFFECTED JOB

11 USU. FT-SCHOOL/TRAINING

12 USU. FT-CIVIC/MILITARY DUTY

13 USU. FT-OTHER REASON

14 USU. PT-SLACK WORK/BUSINESS CONDITIONS

15 USU. PT-COULD ONLY FIND PT WORK

NAME SIZE DESCRIPTION LOCATION

6-52

16 USU. PT-SEASONAL WORK

17 USU. PT-CHILD CARE PROBLEMS

18 USU. PT-OTHER FAM/PERS OBLIGATIONS

19 USU. PT-HEALTH/MEDICAL LIMITATIONS

20 USU. PT-SCHOOL/TRAINING

21 USU. PT-RETIRED/S.S. LIMIT ON EARNINGS

22 USU. PT-WORKWEEK <35 HOURS

23 USU. PT-OTHER REASON

PRUNEDUR 3 DURATION OF UNEMPLOYMENT FOR 407 - 409

LAYOFF AND LOOKING RECORDS

EDITED UNIVERSE: PEMLR = 3-4

VALID ENTRIES

0 MIN VALUE

119 MAX VALUE

Topcoded consistent with PELAYDUR or PELKDUR,

as appropriate, starting April 2011.

FILLER 2 410 - 411

PRUNTYPE 2 REASON FOR UNEMPLOYMENT 412 - 413

EDITED UNIVERSE: PEMLR = 3-4

VALID ENTRIES

1 JOB LOSER/ON LAYOFF

2 OTHER JOB LOSER

3 TEMPORARY JOB ENDED

4 JOB LEAVER

5 RE-ENTRANT

6 NEW-ENTRANT

PRWKSCH 2 LABOR FORCE BY TIME 414 - 415

WORKED OR LOST

EDITED UNIVERSE: PEMLR = 1 - 7

VALID ENTRIES

0 NOT IN LABOR FORCE

NAME SIZE DESCRIPTION LOCATION

6-53

1 AT WORK

2 WITH JOB, NOT AT WORK

3 UNEMPLOYED, SEEKS FT

4 UNEMPLOYED, SEEKS PT

PRWKSTAT 2 FULL/PART-TIME WORK STATUS 416 - 417

EDITED UNIVERSE: PEMLR = 1-7

VALID ENTRIES

1 NOT IN LABOR FORCE

2 FT HOURS (35+), USUALLY FT

3 PT FOR ECONOMIC REASONS, USUALLY FT

4 PT FOR NON-ECONOMIC REASONS, USUALLY FT

5 NOT AT WORK, USUALLY FT

6 PT HRS, USUALLY PT FOR ECONOMIC REASONS

7 PT HRS, USUALLY PT FOR NON-ECONOMIC REASONS

8 FT HOURS, USUALLY PT FOR ECONOMIC REASONS

9 FT HOURS, USUALLY PT FOR NON-ECONOMIC

10 NOT AT WORK, USUALLY PART-TIME

11 UNEMPLOYED FT

12 UNEMPLOYED PT

PRWNTJOB 2 NILF RECODE - WANT A JOB OR OTHER NILF 418 - 419

EDITED UNIVERSE: PEMLR = 5-7

VALID ENTRIES

1 WANT A JOB

2 OTHER NOT IN LABOR FORCE

PUJHCK3 2 JOB HISTORY CHECK ITEM 420 - 421

VALID ENTRIES

1 IF I-MLR EQ 3 OR 4 THEN GOTO PUJHDP1

2 ALL OTHERS GOTO PUJHRSN

PUJHCK4 2 SCREEN FOR DEPENDENT NILF 422 - 423

VALID ENTRIES

1 IF ENTRY OF 2, D OR R IN PUDW4WK OR IN PUJHDP1O

NAME SIZE DESCRIPTION LOCATION

6-54

THEN GOTO PUJHCK5

2 IF ENTRY OF 1 IN PUDW4WK OR IN PUJHDP10

THEN GOTO PUIO1INT

3 IF I-MLR EQUALS 1 OR 2 AND ENTRY IN

PUJHRSN THEN GOTO PUJHCK5

4 IF ENTRY IN PUJHRSN THEN GOTO PUIO1INT

5 ALL OTHERS GOTO PUNLFCK1

PUJHCK5 2 SCREEN FOR DEPENDENT NILF 424 - 425

VALID ENTRIES

1 IF I-IO1ICR EQUALS 1 OR I-IO1OCR

EQUALS 1 THEN GOTO PUIO1INT

2 ALL OTHERS GOTO PUIOCK5

PUIODP1 2 LAST MONTH, IT WAS REPORTED THAT YOU 426 - 427

WORKED FOR (EMPLOYER'S NAME). DO

STILL WORK FOR (EMPLOYER'S NAME)

(AT YOUR MAIN JOB)?

VALID ENTRIES

1 YES

2 NO

PUIODP2 2 HAVE THE USUAL ACTIVITIES AND DUTIES 428 - 429

OF YOUR JOB CHANGED SINCE LAST MONTH?

VALID ENTRIES

1 YES

2 NO

PUIODP3 2 LAST MONTH YOU WERE REPORTED AS (A/AN) 430 - 431

(OCCUPATION) AND YOUR USUAL ACTIVITIES WERE

(DESCRIPTION). IS THIS AN ACCURATE

DESCRIPTION OF YOUR CURRENT JOB?

VALID ENTRIES

1 YES

2 NO

NAME SIZE DESCRIPTION LOCATION

6-55

PEIO1COW 2 INDIVIDUAL CLASS OF WORKER CODE 432 - 433

ON FIRST JOB

NOTE: A PEIO1COW CODE CAN BE ASSIGNED

EVEN IF AN INDIVIDUAL IS NOT CURRENTLY

EMPLOYED.

EDITED UNIVERSE: (PEMLR = 1-3) OR

(PEMLR = 4 AND PELKLWO = 1-2) OR

(PEMLR = 5 AND (PENLFJH = 1 OR PEJHWKO = 1))

OR (PEMLR = 6 AND PENLFJH = 1) OR

(PEMLR = 7 AND (PENLFJH = 1 OR PEJHWKO = 1))

VALID ENTRIES

1 GOVERNMENT - FEDERAL

2 GOVERNMENT - STATE

3 GOVERNMENT - LOCAL

4 PRIVATE, FOR PROFIT

5 PRIVATE, NONPROFIT

6 SELF-EMPLOYED, INCORPORATED

7 SELF-EMPLOYED, UNINCORPORATED

8 WITHOUT PAY

PUIO1MFG 2 IS THIS BUSINESS OR ORGANIZATION MAINLY 434 - 435

MANUFACTURING, RETAIL TRADE,

WHOLESALE TRADE, OR SOMETHING ELSE?

VALID ENTRIES

1 MANUFACTURING

2 RETAIL TRADE

3 WHOLESALE TRADE

4 SOMETHING ELSE

PADDING 6 Main Job I & O Codes moved to columns 856 - 863 436 - 441

PEIO2COW 2 INDIVIDUAL CLASS OF WORKER ON 442 - 443

SECOND JOB.

NOTE: FOR THOSE SELF-EMPLOYED UNINCORPORATED

ON THEIR FIRST JOB, THIS SHOULD HAVE A RESPONSE

EVERY MONTH. FOR ALL OTHERS, THIS SHOULD ONLY

HAVE A VALUE IN OUT-GOING ROTATIONS.

EDITED UNIVERSE: PRIOELG = 1 and PEMJOT = 1 AND HRMIS = 4,8

NAME SIZE DESCRIPTION LOCATION

6-56

VALID ENTRIES

1 GOVERNMENT - FEDERAL

2 GOVERNMENT - STATE

3 GOVERNMENT - LOCAL

4 PRIVATE, FOR PROFIT

5 PRIVATE, NONPROFIT

6 SELF-EMPLOYED, INCORPORATED

7 SELF-EMPLOYED, UNINCORPORATED

8 WITHOUT PAY

PUIO2MFG 2 IS THIS BUSINESS OR ORGANIZATION MAINLY 444 - 445

MANUFACTURING, RETAIL TRADE, WHOLESALE TRADE,

OR SOMETHING ELSE?

VALID ENTRIES

1 MANUFACTURING

2 RETAIL TRADE

3 WHOLESALE TRADE

4 SOMETHING ELSE

PADDING 6 Second Job I & O codes moved to columns 864 - 871 446 - 451

PUIOCK1 2 I & O CHECK ITEM 1 452 - 453

SCREEN FOR DEPENDENT I AND O

VALID ENTRIES

1 IF {MISCK EQ 1 OR 5)

OR MISCK EQ 2-4, 6-8 AND I-MLR EQ 3-7)

AND ENTRY OF 1 IN ABS} THEN GOTO PUIO1INT

2 IF (MISCK EQ 1 OR 5)

OR {(MISCK EQ 2-4, 6-8 AND I-MLR EQ 3-7)

AND ( ENTRY OF 1 IN WK OR HRCK7-C IS BLANK, 1-3)}

GOTO PUIO1INT

3 IF I-IO1NAM IS D, R OR BLANK THEN GOTO PUIO1INT

4 ALL OTHERS GOTO PUIODP1

PUIOCK2 2 I & O CHECK ITEM 2 454 - 455

SCREEN FOR PREVIOUS MONTHS I AND O CASES

VALID ENTRIES

1 IF I-IO1ICR EQ 1 THEN GOTO PUIO1IND

NAME SIZE DESCRIPTION LOCATION

6-57

2 IF I-IO1OCR EQ 1 THEN GOTO PUIO1OCC

3 ALL OTHERS GOTO PUIODP2

PUIOCK3 2 I & O CHECK ITEM 3 456 - 457

VALID ENTRIES

1 IF I-IO1OCC EQUALS D, R OR BLANK THEN GOTO PUIO1OCC

2 IF I-IO1DT1 IS D, R OR BLANK THEN GOTO PUIO1OCC

3 ALL OTHERS GOTO PUIODP3

PRIOELG 2 INDUSTRY AND OCCUPATION 458 - 459

ELIGIBILITY FLAG

EDITED UNIVERSE: PEMLR = 1-3,

OR (PEMLR = 4 AND PELKLWO = 1 OR 2)

OR (PEMLR = 5 AND

(PEJHWKO = 1 OR PENLFJH=1),

OR (PEMLR = 6 AND PENLFJH = 1),

OR PEMLR = 7 AND PEJHWKO = 1)

VALID ENTRIES

0 NOT ELIGIBLE FOR EDIT

1 ELIGIBLE FOR EDIT

PRAGNA 2 AGRICULTURE/ 460 - 461

NON-AGRICULTURE INDUSTRY

EDITED UNIVERSE: PRIOELG = 1

VALID ENTRIES

1 AGRICULTURAL

2 NON-AGRICULTURAL

PRCOW1 2 CLASS OF WORKER 462 - 463

RECODE - JOB 1

EDITED UNIVERSE: PRIOELG = 1

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-58

1 FEDERAL GOVT

2 STATE GOVT

3 LOCAL GOVT

4 PRIVATE (INCL. SELF-EMPLOYED INCORP.)

5 SELF-EMPLOYED, UNINCORP.

6 WITHOUT PAY

PRCOW2 2 CLASS OF WORKER 464 - 465

RECODE - JOB 2

EDITED UNIVERSE: PRIOELG = 1 AND PEMJOT = 1 AND

HRMIS = 4 OR 8

VALID ENTRIES

1 FEDERAL GOVT

2 STATE GOVT

3 LOCAL GOVT

4 PRIVATE (INCL. SELF-EMPLOYED INCORP.)

5 SELF-EMPLOYED, UNINCORP.

6 WITHOUT PAY

PRCOWPG 2 COW - PRIVATE OR GOVERNMENT 466 - 467

EDITED UNIVERSE: PEIO1COW = 1 - 5

VALID ENTRIES

1 PRIVATE

2 GOVERNMENT

PRDTCOW1 2 DETAILED CLASS OF WORKER RECODE - JOB 1 468 - 469

EDITED UNIVERSE: PRIOELG = 1

VALID ENTRIES

1 AGRI., WAGE & SALARY, PRIVATE

2 AGRI., WAGE & SALARY, GOVERNMENT

3 AGRI., SELF-EMPLOYED

4 AGRI., UNPAID

5 NONAG, WS, PRIVATE, PRIVATE HHLDS

6 NONAG, WS, PRIVATE, OTHER PRIVATE

7 NONAG, WS, GOVT, FEDERAL

NAME SIZE DESCRIPTION LOCATION

6-59

8 NONAG, WS, GOVT, STATE

9 NONAG, WS, GOVT, LOCAL

10 NONAG, SELF-EMPLOYED

11 NONAG, UNPAID

PRDTCOW2 2 DETAILED CLASS OF WORKER RECODE - JOB 2 470 - 471

EDITED UNIVERSE: PRIOELG = 1 AND PEMJOT = 1 AND

HRMIS = 4 OR 8

VALID ENTRIES

1 AGRI., WAGE & SALARY, PRIVATE

2 AGRI., WAGE & SALARY, GOVERNMENT

3 AGRI., SELF-EMPLOYED

4 AGRI., UNPAID

5 NONAG, WS, PRIVATE, PRIVATE HHLDS

6 NONAG, WS, PRIVATE, OTHER PRIVATE

7 NONAG, WS, GOVT, FEDERAL

8 NONAG, WS, GOVT, STATE

9 NONAG, WS, GOVT, LOCAL

10 NONAG, SELF-EMPLOYED

11 NONAG, UNPAID

PRDTIND1 2 DETAILED INDUSTRY RECODE - JOB 1 472 - 473

EDITED UNIVERSE: PRIOELG = 1

VALID ENTRIES

1 Agriculture

2 Forestry, logging, fishing, and hunting

3 Mining, quarrying, and oil and gas extraction

4 Construction

5 Nonmetallic mineral product manufacturing

6 Primary metals and fabricated metal products

7 Machinery manufacturing

8 Computer and electronic product manufacturing

9 Electrical equipment, appliance manufacturing

10 Transportation equipment manufacturing

11 Wood products

12 Furniture and fixtures manufacturing

13 Miscellaneous and not specified manufacturing

14 Food manufacturing

15 Beverage and tobacco products

NAME SIZE DESCRIPTION LOCATION

6-60

16 Textile, apparel, and leather manufacturing

17 Paper and printing

18 Petroleum and coal products manufacturing

19 Chemical manufacturing

20 Plastics and rubber products

21 Wholesale trade

22 Retail trade

23 Transportation and warehousing

24 Utilities

25 Publishing industries (except internet)

26 Motion picture and sound recording industries

27 Broadcasting (except internet)

28 Internet publishing and broadcasting

29 Telecommunications

30 Internet service providers and data processing services

31 Other information services

32 Finance

33 Insurance

34 Real estate

35 Rental and leasing services

36 Professional, scientific, and technical services

37 Management of companies and enterprises

38 Administrative and support services

39 Waste management and remediation services

40 Educational services

41 Hospitals

42 Health care services, except hospitals

43 Social assistance services

44 Arts, entertainment, and recreation

45 Accommodation

46 Food services and drinking places

47 Repair and maintenance

48 Personal and laundry services

49 Membership associations and organizations

50 Private households

51 Public administration

52 Armed forces

PRDTIND2 2 DETAILED INDUSTRY RECODE - JOB 2 474 - 475

EDITED UNIVERSE: PRIOELG = 1 AND PEMJOT = 1 AND HRMIS = 4 OR 8

NAME SIZE DESCRIPTION LOCATION

6-61

VALID ENTRIES

1 Agriculture

2 Forestry, logging, fishing, and hunting

3 Mining, quarrying, and oil and gas extraction

4 Construction

5 Nonmetallic mineral product manufacturing

6 Primary metals and fabricated metal products

7 Machinery manufacturing

8 Computer and electronic product manufacturing

9 Electrical equipment, appliance manufacturing

10 Transportation equipment manufacturing

11 Wood products

12 Furniture and fixtures manufacturing

13 Miscellaneous and not specified manufacturing

14 Food manufacturing

15 Beverage and tobacco products

16 Textile, apparel, and leather manufacturing

17 Paper and printing

18 Petroleum and coal products manufacturing

19 Chemical manufacturing

20 Plastics and rubber products

21 Wholesale trade

22 Retail trade

23 Transportation and warehousing

24 Utilities

25 Publishing industries (except internet)

26 Motion picture and sound recording industries

27 Broadcasting (except internet)

28 Internet publishing and broadcasting

29 Telecommunications

30 Internet service providers and data processing services

31 Other information services

32 Finance

33 Insurance

34 Real estate

35 Rental and leasing services

36 Professional, scientific, and technical services

37 Management of companies and enterprises

38 Administrative and support services

39 Waste management and remediation services

40 Educational services

41 Hospitals

NAME SIZE DESCRIPTION LOCATION

6-62

42 Health care services, except hospitals

43 Social assistance services

44 Arts, entertainment, and recreation

45 Accommodation

46 Food services and drinking places

47 Repair and maintenance

48 Personal and laundry services

49 Membership associations and organizations

50 Private households

51 Public administration

52 Armed forces

PRDTOCC1 2 DETAILED OCCUPATION RECODE - JOB 1 476 - 477

EDITED UNIVERSE: PRIOELG = 1

VALID ENTRIES

1 Management occupations

2 Business and financial operations occupations

3 Computer and mathematical occupations

4 Architecture and engineering occupations

5 Life, physical, and social science occupations

6 Community and social service occupations

7 Legal occupations

8 Education instruction and library occupations

9 Arts, design, entertainment, sports, and media

occupations

10 Healthcare practitioner and technical occupations

11 Healthcare support occupations

12 Protective service occupations

13 Food preparation and serving related occupations

14 Building and grounds cleaning and maintenance

occupations

15 Personal care and service occupations

16 Sales and related occupations

17 Office and administrative support occupations

18 Farming, fishing, and forestry occupations

19 Construction and extraction occupations

20 Installation, maintenance, and repair occupations

21 Production occupations

22 Transportation and material moving occupations

23 Armed Forces

NAME SIZE DESCRIPTION LOCATION

6-63

PRDTOCC2 2 DETAILED OCCUPATION RECODE - JOB 2 478 - 479

EDITED UNIVERSE: PRIOELG = 1 AND PEMJOT = 1 AND HRMIS = 4 OR 8

VALID ENTRIES

1 Management occupations

2 Business and financial operations occupations

3 Computer and mathematical occupations

4 Architecture and engineering occupations

5 Life, physical, and social science occupations

6 Community and social service occupations

7 Legal occupations

8 Education instruction and library occupations

9 Arts, design, entertainment, sports, and media

occupations

10 Healthcare practitioner and technical occupations

11 Healthcare support occupations

12 Protective service occupations

13 Food preparation and serving related occupations

14 Building and grounds cleaning and maintenance

occupations

15 Personal care and service occupations

16 Sales and related occupations

17 Office and administrative support occupations

18 Farming, fishing, and forestry occupations

19 Construction and extraction occupations

20 Installation, maintenance, and repair occupations

21 Production occupations

22 Transportation and material moving occupations

23 Armed Forces

PREMP 2 EMPLOYED PERSONS (NON-FARM 480 - 481

& NON-PRIVATE HHLD) RECODE

EDITED UNIVERSE: PEMLR = 1 OR 2

AND PEIO1OCD ne 403-407, 473-484

VALID ENTRY

1 EMPLOYED PERSONS (EXC. FARM & PRIV HH)

PRMJIND1 2 MAJOR INDUSTRY RECODE - JOB 1 482 - 483

NAME SIZE DESCRIPTION LOCATION

6-64

EDITED UNIVERSE: PRDTIND1 = 1-51

VALID ENTRIES

1 Agriculture, forestry, fishing, and hunting

2 Mining

3 Construction

4 Manufacturing

5 Wholesale and retail trade

6 Transportation and utilities

7 Information

8 Financial activities

9 Professional and business services

10 Educational and health services

11 Leisure and hospitality

12 Other services

13 Public administration

14 Armed Forces

PRMJIND2 2 MAJOR INDUSTRY RECODE - JOB 2 484 - 485

EDITED UNIVERSE: PRDTIND2 = 1-51

VALID ENTRIES

1 Agriculture, forestry, fishing, and hunting

2 Mining

3 Construction

4 Manufacturing

5 Wholesale and retail trade

6 Transportation and utilities

7 Information

8 Financial activities

9 Professional and business services

10 Educational and health services

11 Leisure and hospitality

12 Other services

13 Public administration

14 Armed Forces

PRMJOCC1 2 MAJOR OCCUPATION RECODE 486 - 487

NAME SIZE DESCRIPTION LOCATION

6-65

- JOB 1

EDITED UNIVERSE: PRDTOCC1 = 1-23

VALID ENTRIES

1 Management, business, and financial occupations

2 Professional and related occupations

3 Service occupations

4 Sales and related occupations

5 Office and administrative support occupations

6 Farming, fishing, and forestry occupations

7 Construction and extraction occupations

8 Installation, maintenance, and repair occupations

9 Production occupations

10 Transportation and material moving occupations

11 Armed Forces

PRMJOCC2 2 MAJOR OCCUPATION RECODE 488 - 489

- JOB 2

EDITED UNIVERSE: PRDTOCC2 = 1-23

VALID ENTRIES

1 Management, business, and financial occupations

2 Professional and related occupations

3 Service occupations

4 Sales and related occupations

5 Office and administrative support occupations

6 Farming, fishing, and forestry occupations

7 Construction and extraction occupations

8 Installation, maintenance, and repair occupations

9 Production occupations

10 Transportation and material moving occupations

11 Armed Forces

PRMJOCGR 2 MAJOR OCCUPATION CATEGORIES 490 - 491

EDITED UNIVERSE: PRMJOCC = 1-11

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-66

1 Management, professional, and related occupations

2 Service occupations

3 Sales and office occupations

4 Farming, fishing, and forestry occupations

5 Construction, and maintenance occupations

6 Production, transportation, and material moving

occupations

7 Armed Forces

PRNAGPWS 2 NON-AGRICULTURE, PRIVATE 492 - 493

WAGE AND SALARY WORKERS RECODE

EDITED UNIVERSE: PRCOW1 = 1 AND

PEIO1ICD ne 0170 - 0890

VALID ENTRY

1 NON-AG PRIV WAGE & SALARY

NON-AGRICULTURE WAGE AND

SALARY WORKERS RECODE

PRNAGWS NON-AGRICULTURE WAGE AND 494 - 495

SALARY WORKERS RECODE

EDITED UNIVERSE: PEMLR = 1-4

AND PRCOW = 1-4

AND PEIO1ICD ne 0170-0290

VALID ENTRY

1 NON-AG WAGE AND SALARY WORKERS

SINGLE/MULTIPLE JOBHOLDER RECODE

PRSJMS SINGLE/MULTIPLE JOBHOLDER RECODE 496 – 497

EDITED UNIVERSE: PEMLR = 1 OR 2

VALID ENTRIES

1 SINGLE JOBHOLDER

2 MULTIPLE JOBHOLDER

PRERELG 2 EARNINGS ELIGIBILITY FLAG 498 - 499

EDITED UNIVERSE: PEMLR = 1-2 AND HRMIS = 4 OR 8

NAME SIZE DESCRIPTION LOCATION

6-67

VALID ENTRIES

0 NOT ELIGIBLE FOR EDIT

1 ELIGIBLE FOR EDIT

PEERNUOT 2 DO YOU USUALLY RECEIVE OVERTIME PAY, 500 - 501

TIPS, OR COMMISSIONS AT YOUR JOB?

EDITED UNIVERSE: PRERELG = 1

VALID ENTRIES

1 YES

2 NO

PEERNPER 2 PERIODICITY 502 - 503

EDITED UNIVERSE: PRERELG = 1

VALID ENTRIES

1 HOURLY

2 WEEKLY

3 BI-WEEKLY

4 TWICE MONTHLY

5 MONTHLY

6 ANNUALLY

7 OTHER – SPECIFY

PEERNRT 2 (EVEN THOUGH YOU TOLD ME IT IS EASIER 504 - 505

TO REPORT YOUR EARNINGS (PERIODICITY);

ARE YOU PAID AT AN HOURLY RATE ON

YOUR (MAIN/THIS) JOB?

EDITED UNIVERSE: PEERNPER = 2-7

VALID ENTRIES

1 YES

2 NO

PEERNHRY 2 HOURLY/NONHOURLY STATUS 506 - 507

EDITED UNIVERSE: PRERELG = 1

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-68

1 HOURLY WORKER

2 NONHOURLY WORKER

PTERNH1C 4 WHAT IS YOUR HOURLY RATE OF PAY ON 508 - 511

THIS JOB, EXCLUDING OVERTIME PAY, TIPS

OR COMMISSION?

DOLLAR AMOUNT - 2 IMPLIED DECIMALS

ROIUNDED and TOPCODED

VALID ENTRIES

0 MIN VALUE

** MAX VALUE

** The MAX value will change monthly as each month’s file is topcoded

based on that values. The topcode value for each month is NOT rounded

and is the weighted average of the top 3 percent of that month’s values.

PTERNH2 4 (EXCLUDING OVERTIME PAY, TIPS AND 512 - 515

COMMISSIONS) WHAT IS YOUR HOURLY RATE

OF PAY ON YOUR (MAIN/THIS) JOB?

DOLLAR AMOUNT - 2 IMPLIED DECIMALS

ROUNDED and TOPCODED

EDITED UNIVERSE: PEERNRT = 1

VALID ENTRIES

0 MIN VALUE

** MAX VALUE

** The MAX value will change monthly as each month’s file is topcoded

based on that values. The topcode value for each month is NOT rounded

and is the weighted average of the top 3 percent of that month’s values.

PTERNH1O 4 OUT VARIABLE FOR HOURLY 516 - 519

RATE OF PAY (2 IMPLIED DECIMAL PLACES)

EDITED UNIVERSE: PEERNPER = 1

ROUNDED and TOPCODED

NAME SIZE DESCRIPTION LOCATION

6-69

VALID ENTRIES

0 MIN VALUE

** MAX VALUE

** The MAX value will change monthly as each month’s file is topcoded

based on that values. The topcode value for each month is NOT rounded

and is the weighted average of the top 3 percent of that month’s values.

PTERNHLY 4 RECODE FOR HOURLY RATE 520 - 523

2 IMPLIED DECIMALS

EDITED UNIVERSE: PEERNPER = 1 OR PEERNRT = 1

ROUNDED and TOPCODED

VALID ENTRIES

0 MIN VALUE

** MAX VALUE

** The MAX value will change monthly as each month’s file is topcoded

based on that values. The topcode value for each month is NOT rounded

and is the weighted average of the top 3 percent of that month’s values.

PTHR 1 HOURLY PAY - TOP CODE 524 - 524

VALID ENTRIES

0 NOT TOPCODED

1 TOPCODED

PEERNHRO 2 USUAL HOURS 525 - 526

EDITED UNIVERSE: PEERNH1O = ENTRY

VALID ENTRIES

0 MIN VALUE

99 MAX VALUE

PTERNWA 8 WEEKLY EARNINGS RECODE 527 - 534

NAME SIZE DESCRIPTION LOCATION

6-70

ROUNDED and TOPCODED, REPORTED IN WHOLE DOLLARS

EDITED UNIVERSE: PRERELG = 1

VALID ENTRIES

0 MIN VALUE

** MAX VALUE

** The MAX value will change monthly as each month’s file is topcoded

based on that values. The topcode value for each month is NOT rounded

and is the weighted average of the top 3 percent of that month’s values.

PTWK 1 WEEKLY EARNINGS - TOP CODE 535 - 535

0 NOT TOPCODED

1 TOPCODED

PRERNMIN 2 FEDERALLY MANDATED MINIMUM WAGE RATE FLAG 536 - 537

-1 NIU

1 MINIMUM WAGE FLAG

FILLER 2 538 – 539

PTERN 6 CALCULATED WEEKLY OVERTIME AMOUNT 540 - 547

ROUNDED and TOPCODED

EDITED UNIVERSE: PEERNUOT = 1 AND PEERNPER = 1

VALID ENTRIES

0 MIN VALUE

** MAX VALUE

** The MAX value will change monthly as each month’s file is topcoded

based on that month’s values. The topcode value for each month is NOT rounded

and is the weighted average of the top 3 percent of that month’s values.

PTERN2 8 CALCULATED WEEKLY 548 - 555

NAME SIZE DESCRIPTION LOCATION

6-71

OVERTIME AMOUNT WHOLE DOLLARS

ROUNDED and TOPCODED

VALID ENTRIES

0 MIN VALUE

** MAX VALUE

** The MAX value will change monthly as each month’s file is topcoded

based on that month’s values. The topcode value for each month is NOT rounded

and is the weighted average of the top 3 percent of that month’s values.

PTOT 1 WEEKLY OVERTIME AMOUNT - TOP CODE 556 - 556

VALID ENTRIES

0 NOT TOPCODED

1 TOPCODED

FILLER 2 557 - 558

PEERNWKP 2 HOW MANY WEEKS A YEAR DO YOU 559 - 560

GET PAID FOR?

EDITED UNIVERSE: PEERNPER = 6

VALID ENTRIES

01 MIN VALUE

52 MAX VALUE

PEERNLAB 2 ON THIS JOB, ARE YOU A MEMBER OF A 561 - 562

LABOR UNION OR OF AN EMPLOYEE ASSOCIATION

SIMILAR TO A UNION?

EDITED UNIVERSE: (PEIO1COW = 1-5 AND PEMLR = 1-2

AND HRMIS = 4, 8)

VALID ENTRIES

1 YES

2 NO

NAME SIZE DESCRIPTION LOCATION

6-72

PEERNCOV 2 ON THIS JOB ARE YOU COVERED BY A UNION 563 - 564

OR EMPLOYEE ASSOCIATION CONTRACT?

EDITED UNIVERSE: (PEIO1COW = 1-5 AND PEMLR = 1-2

AND HRMIS = 4, 8)

VALID ENTRIES

1 YES

2 NO

PENLFJH 2 WHEN DID YOU LAST WORK AT A JOB 565 - 566

OR BUSINESS?

EDITED UNIVERSE: HRMIS = 4 OR 8 AND PEMLR = 3-7

VALID ENTRIES

1 WITHIN THE LAST 12 MONTHS

2 MORE THAN 12 MONTHS AGO

3 NEVER WORKED

PENLFRET 2 ARE YOU RETIRED FROM A JOB 567 - 568

OR BUSINESS?

EDITED UNIVERSE: PRTAGE = 50+ AND PEMLR = 3-7

VALID ENTRIES

1 YES

2 NO

PENLFACT 2 WHAT BEST DESCRIBES YOUR SITUATION AT 569 - 570

THIS TIME? FOR EXAMPLE, ARE YOU DISABLED,

ILL, IN SCHOOL, TAKING CARE OF HOUSE OR

FAMILY, OR SOMETHING ELSE?

EDITED UNIVERSE: (PRTAGE = 14-49) or (PENLFRET = 2)

VALID ENTRIES

1 DISABLED

2 ILL

3 IN SCHOOL

4 TAKING CARE OF HOUSE OR FAMILY

NAME SIZE DESCRIPTION LOCATION

6-73

5 IN RETIREMENT

6 SOMETHING ELSE/OTHER

PUNLFCK1 2 NOT IN LABOR FORCE 571 - 572

CHECK ITEM - 1

VALID ENTRIES

1 IF AGERNG EQUALS 1-4 OR 9

THEN GOTO NLFACT

2 ALL OTHERS GOT NLFRET

PUNLFCK2 2 NOT IN LABOR FORCE 573 - 574

CHECK ITEM - 2

VALID ENTRIES

1 IF MISCK EQUALS 4 OR 8 THEN GOTO NLFJH

2 ALL OTHERS GOTO LBFR-END

PESCHENR 2 LAST WEEK, WERE YOU ENROLLED IN A 575 - 576

HIGH SCHOOL, COLLEGE, OR UNIVERSITY?

EDITED UNIVERSE: PRPERTYP = 2 and PRTAGE = 16-54

VALID ENTRIES

1 YES

2 NO

PESCHFT 2 ARE YOU ENROLLED IN SCHOOL AS A 577 - 578

FULL-TIME OR PART-TIME STUDENT?

EDITED UNIVERSE: PESCHLVL = 1, 2

VALID ENTRIES

1 FULL-TIME

2 PART-TIME

PESCHLVL 2 WOULD THAT BE HIGH SCHOOL, COLLEGE, 579 - 580

OR UNIVERSITY?

EDITED UNIVERSE: PESCHENR = 1

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-74

1 HIGH SCHOOL

2 COLLEGE OR UNIVERSITY

PRNLFSCH 2 NLF ACTIVITY - IN SCHOOL OR 581 - 582

NOT IN SCHOOL

EDITED UNIVERSE: PENLFACT = -1 OR 1-6 AND PRTAGE = 16-24

VALID ENTRIES

1 IN SCHOOL

2 NOT IN SCHOOL

PERSON'S WEIGHTS

PWFMWGT 10 FAMILY WEIGHT 583 - 592

(4 IMPLIED DECIMALS)

ONLY USED FOR TALLYING FAMILY CHARACTERISTICS.

EDITED UNIVERSE: PRPERTYP = 1-3

PWLGWGT 10 LONGITUDINAL WEIGHT 593 - 602

(4 IMPLIED DECIMALS)

ONLY FOUND ON ADULT RECORDS MATCHED FROM MONTH TO MONTH.

(USED FOR GROSS FLOWS ANALYSIS)

EDITED UNIVERSE: PRPERTYP = 2

PWORWGT 10 OUTGOING ROTATION WEIGHT 603 - 612

(4 IMPLIED DECIMALS)

USED FOR TALLYING INFORMATION COLLECTED ONLY IN

OUTGOING ROTATIONS (i.e., EARNINGS, 2nd JOB I & O,

DETAILED NILF)

EDITED UNIVERSE: PRPERTYP = 2

PWSSWGT 10 FINAL WEIGHT 613 - 622

(4 IMPLIED DECIMAL PLACES)

USED FOR MOST TABULATIONS, CONTROLLED TO

INDEPENDENT ESTIMATES FOR 1) STATES; 2) ORIGIN, SEX,

AND AGE; AND 3) AGE, RACE, AND SEX.

EDITED UNIVERSE: PRPERTYP = 1-3

NAME SIZE DESCRIPTION LOCATION

6-75

PWVETWGT 10 VETERANS WEIGHT 623 - 632

(4 IMPLIED DECIMALS)

USED FOR TALLYING VETERAN'S DATA ONLY, CONTROLLED TO

ESTIMATES OF VETERANS SUPPLIED BY VA.

EDITED UNIVERSE: PRPERTYP = 2

PRCHLD 2 PRESENCE OF OWN CHILDREN <18 YEARS 633-634

OF AGE BY SELECTED AGE GROUP

EDITED UNIVERSE: PRFAMREL = 1 or 2

VALID ENTRIES

-1 NIU (Not a parent)

0 No own children under 18 years of age

1 All own children 0- 2 years of age

2 All own children 3- 5 years of age

3 All own children 6-13 years of age

4 All own children 14-17 years of age

5 Own children 0- 2 and 3- 5 years of age (none 6-17)

6 Own children 0- 2 and 6-13 years of age (none 3- 5 or 14-17)

7 Own children 0- 2 and 14-17 years of age (none 3-13)

8 Own children 3- 5 and 6-13 years of age (none 0- 2 or 14-17)

9 Own children 3- 5 and 14-17 years of age (none 0- 2 or 6-13)

10 Own children 6-13 and 14-17 years of age (none 0- 5)

11 Own children 0- 2, 3- 5, and 6-13 years of age (none 14-17)

12 Own children 0- 2, 3- 5, and 14-17 years of age (none 6-13)

13 Own children 0- 2, 6-13, and 14-17 years of age (none 3- 5)

14 Own children 3- 5, 6-13, and 14-17 years of age (none 0- 2)

15 Own children from all age groups

PRNMCHLD 2 Number of own children <18 years of age 635-636

EDITED UNIVERSE: PRFAMREL = 1 or 2

VALID ENTRIES

-1 NIU (Not a parent)

0:99 Number of own children under 18 years of age

ALLOCATION FLAGS

Unless otherwise noted, the values for all allocation

flags are defined as described below:

NAME SIZE DESCRIPTION LOCATION

6-76

VALID ENTRIES

00 VALUE - NO CHANGE

01 BLANK - NO CHANGE

02 DON'T KNOW - NO CHANGE

03 REFUSED - NO CHANGE

10 VALUE TO VALUE

11 BLANK TO VALUE

12 DON'T KNOW TO VALUE

13 REFUSED TO VALUE

20 VALUE TO LONGITUDINAL VALUE

21 BLANK TO LONGITUDINAL VALUE

22 DON'T KNOW TO LONGITUDINAL VALUE

23 REFUSED TO LONGITUDINAL VALUE

30 VALUE TO ALLOCATED VALUE LONG.

31 BLANK TO ALLOCATED VALUE LONG.

32 DON'T KNOW TO ALLOCATED VALUE LONG.

33 REFUSED TO ALLOCATED VALUE LONG.

40 VALUE TO ALLOCATED VALUE

41 BLANK TO ALLOCATED VALUE

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

PXPDEMP1 2 ALLOCATION FLAG 637-638

PRWERNAL 2 ALLOCATION FLAG 639 - 640

WEEKLY EARNINGS RECODE (PRERNWA)

ALLOCATION FLAG

EDITED UNIVERSE: PRERELG = 1

00 NO ALLOCATION

01 ONE OR MORE COMPONENTS OF THE

RECODE ARE ALLOCATED

PRHERNAL 2 ALLOCATION FLAG 641 - 642

HOURLY EARNINGS RECODE (PRERNHLY)

ALLOCATION FLAG

EDITED UNIVERSE: PRERNHRY = 1

NAME SIZE DESCRIPTION LOCATION

6-77

00 NO ALLOCATION

01 ONE OR MORE COMPONENT OF THE

RECODE ARE ALLOCATED

HXTENURE 2 ALLOCATION FLAG 643 - 644

See HETENURE note.

HXHOUSUT 2 ALLOCATION FLAG 645 - 646

HXTELHHD 2 ALLOCATION FLAG 647 - 648

HXTELAVL 2 ALLOCATION FLAG 649 - 650

HXPHONEO 2 ALLOCATION FLAG 651 - 652

PXINUSYR 2 ALLOCATION FLAG 653 - 654

PXRRP 2 ALLOCATION FLAG 655 - 656

PXPARENT 2 ALLOCATION FLAG 657 – 658

PXAGE 2 ALLOCATION FLAG 659 - 660

PXMARITL 2 ALLOCATION FLAG 661 - 662

PXSPOUSE 2 ALLOCATION FLAG 663 - 664

PXSEX 2 ALLOCATION FLAG 665 - 666

PXAFWHN1 2 ALLOCATION FLAG 667 - 668

PXAFNOW 2 ALLOCATION FLAG 669 - 670

PXEDUCA 2 ALLOCATION FLAG 671 - 672

PXRACE1 2 ALLOCATION FLAG 673 - 674

PXNATVTY 2 ALLOCATION FLAG 675 - 676

PXMNTVTY 2 ALLOCATION FLAG 677 - 678

PXFNTVTY 2 ALLOCATION FLAG 679 - 680

PXNMEMP1 2 ALLOCATION FLAG 681 - 682

PXHSPNON 2 ALLOCATION FLAG 683 - 684

NAME SIZE DESCRIPTION LOCATION

6-78

PXMLR 2 ALLOCATION FLAG 685 - 686

PXRET1 2 ALLOCATION FLAG 687 - 688

PXABSRSN 2 ALLOCATION FLAG 689 - 690

PXABSPDO 2 ALLOCATION FLAG 691 - 692

PXMJOT 2 ALLOCATION FLAG 693 - 694

PXMJNUM 2 ALLOCATION FLAG 695 - 696

PXHRUSL1 2 ALLOCATION FLAG 697 - 698

PXHRUSL2 2 ALLOCATION FLAG 699 - 700

PXHRFTPT 2 ALLOCATION FLAG 701 - 702

PXHRUSLT 2 ALLOCATION FLAG 703 - 704

PXHRWANT 2 ALLOCATION FLAG 705 - 706

PXHRRSN1 2 ALLOCATION FLAG 707 - 708

PXHRRSN2 2 ALLOCATION FLAG 709 – 710

PXHRACT1 2 ALLOCATION FLAG 711 - 712

PXHRACT2 2 ALLOCATION FLAG 713 - 714

PXHRACTT 2 ALLOCATION FLAG 715 - 716

PXHRRSN3 2 ALLOCATION FLAG 717 - 718

PXHRAVL 2 ALLOCATION FLAG 719 - 720

PXLAYAVL 2 ALLOCATION FLAG 721 - 722

PXLAYLK 2 ALLOCATION FLAG 723 - 724

PXLAYDUR 2 ALLOCATION FLAG 725 - 726

PXLAYFTO 2 ALLOCATION FLAG 727 - 728

PXLKM1 2 ALLOCATION FLAG 729 - 730

NAME SIZE DESCRIPTION LOCATION

6-79

PXLKAVL 2 ALLOCATION FLAG 731 - 732

PXLKLL1O 2 ALLOCATION FLAG 733 - 734

PXLKLL2O 2 ALLOCATION FLAG 735 - 736

PXLKLWO 2 ALLOCATION FLAG 737 - 738

PXLKDUR 2 ALLOCATION FLAG 739 - 740

PXLKFTO 2 ALLOCATION FLAG 741 - 742

PXDWWNTO 2 ALLOCATION FLAG 743 - 744

PXDWRSN 2 ALLOCATION FLAG 745 - 746

PXDWLKO 2 ALLOCATION FLAG 747 - 748

PXDWWK 2 ALLOCATION FLAG 749 - 750

PXDW4WK 2 ALLOCATION FLAG 751 - 752

PXDWLKWK 2 ALLOCATION FLAG 753 - 754

PXDWAVL 2 ALLOCATION FLAG 755 - 756

PXDWAVR 2 ALLOCATION FLAG 757 - 758

PXJHWKO 2 ALLOCATION FLAG 759 - 760

PXJHRSN 2 ALLOCATION FLAG 761 - 762

PXJHWANT 2 ALLOCATION FLAG 763 - 764

PXIO1COW 2 ALLOCATION FLAG 765 - 766

PXIO1ICD 2 ALLOCATION FLAG 767 - 768

PXIO1OCD 2 ALLOCATION FLAG 769 - 770

PXIO2COW 2 ALLOCATION FLAG 771 - 772

PXIO2ICD 2 ALLOCATION FLAG 773 - 774

PXIO2OCD 2 ALLOCATION FLAG 775 - 776

NAME SIZE DESCRIPTION LOCATION

6-80

PXERNUOT 2 ALLOCATION FLAG 777 - 778

PXERNPER 2 ALLOCATION FLAG 779 - 780

PXERNH1O 2 ALLOCATION FLAG 781 - 782

PXERNHRO 2 ALLOCATION FLAG 783 - 784

PXERN 2 ALLOCATION FLAG 785 - 786

PXPDEMP2 2 ALLOCATION FLAG 787 - 788

PXNMEMP2 2 ALLOCATION FLAG 789 - 790

PXERNWKP 2 ALLOCATION FLAG 791 - 792

PXERNRT 2 ALLOCATION FLAG 793 - 794

PXERNHRY 2 ALLOCATION FLAG 795 – 796

PXERNH2 2 ALLOCATION FLAG 797 - 798

PXERNLAB 2 ALLOCATION FLAG 799 - 800

PXERNCOV 2 ALLOCATION FLAG 801 - 802

PXNLFJH 2 ALLOCATION FLAG 803 - 804

PXNLFRET 2 ALLOCATION FLAG 805 - 806

PXNLFACT 2 ALLOCATION FLAG 807 - 808

PXSCHENR 2 ALLOCATION FLAG 809 - 810

PXSCHFT 2 ALLOCATION FLAG 811 - 812

PXSCHLVL 2 ALLOCATION FLAG 813 - 814

QSTNUM 5 Unique household identifier. Valid only within 815 - 819

any specific month.

OCCURNUM 2 Unique person identifier. Valid only within 820 - 821

any specific month.

PEDIPGED 2 How did...get...'s high school diploma? 822 - 823

NAME SIZE DESCRIPTION LOCATION

6-81

EDITED UNIVERSE = PEEDUCA = 39

VALID ENTRIES

1 Graduation from high school

2 GED or other equivalent

PEHGCOMP 2 What was the highest grade of regular 824 - 825

school...completed before receiving...'s

GED?

EDITED UNIVERSE = PEDIPGED = 2

VALID ENTRIES

1 Less than 1st grade

2 1st, 2nd, 3rd, or 4th grade

3 5th or 6th grade

4 7th or 8th grade

5 9th grade

6 10th grade

7 11th grade

8 12th grade (no diploma)

PECYC 2 How many years of college credit has...completed? 826 - 827

EDITED UNIVERSE: PEEDUCA =40-42

VALID ENTRIES

1 Less than 1 year (includes 0 years completed)

2 The first or Freshman year

3 The second or Sophomore year

4 The third or Junior year

5 Four or more years

PADDING 6 828 - 833

PXDIPGED 2 ALLOCATION FLAG 834 - 835

PXHGCOMP 2 ALLOCATION FLAG 836 - 837

PXCYC 2 ALLOCATION FLAG 838 - 839

FILLER 6 840 - 845

NAME SIZE DESCRIPTION LOCATION

6-82

PWCMPWGT 10 Composited Final Weight. Used to create 846 - 855

BLS's published labor force statistics (4 implied

decimal places)

EDITED UNIVERSE: PRPERTYP = 2 AND

PRTAGE = 16+

SEE THE INDUSTRY AND OCCUPATION APPENDIX FOR CODE DESCRIPTIONS

PEIO1ICD 4 INDUSTRY CODE FOR PRIMARY JOB 856 - 859

EDITED UNIVERSE: (PEMLR = 1-3)

OR (PEMLR = 4 AND PELKLWO = 1-2)

OR (PEMLR = 5 AND (PENLFJH = 1 OR

PEJHWKO = 1))

OR (PEMLR = 6 AND PENLFJH = 1)

OR (PEMLR = 7 AND PEJHWKO=1)

VALID ENTRIES

0 MIN VALUE

9999 MAX VALUE

PTIO1OCD 4 OCCUPATION CODE FOR PRIMARY JOB. 860 - 863

EDITED UNIVERSE: (PEMLR = 1-3)

OR (PEMLR = 4 AND PELKLWO = 1-2)

OR (PEMLR = 5 AND (PENLFJH = 1 OR

PEJHWKO = 1))

OR (PEMLR = 6 AND PENLFJH = 1)

OR (PEMLR = 7 AND PEJHWKO = 1)

VALID ENTRIES

0 MIN VALUE

9999 MAX VALUE

PEIO2ICD 4 INDUSTRY CODE FOR SECOND JOB. 864 - 867

EDITED UNIVERSE: PEMJOT = 1 AND HRMIS = 4 OR 8

VALID ENTRIES

0 MIN VALUE

9999 MAX VALUE

NAME SIZE DESCRIPTION LOCATION

6-83

PTIO2OCD 4 OCCUPATION CODE FOR SECOND JOB. 868 - 871

EDITED UNIVERSE: PEMJOT = 1 AND HRMIS = 4 OR 8

VALID ENTRIES

0 MIN VALUE

9999 MAX VALUE

PRIMIND1 2 INTERMEDIATE INDUSTRY RECODE (JOB 1) 872 - 873

EDITED UNIVERSE: PRIOELG = 1

VALID ENTRIES

1 AGRICULTURE, FORESTRY, FISHING, and HUNTING

2 MINING

3 CONSTRUCTION

4 MANUFACTURING - DURABLE GOODS

5 MANUFACTURING - NON-DURABLE GOODS

6 WHOLESALE TRADE

7 RETAIL TRADE

8 TRANSPORTATION AND WAREHOUSING

9 UTILITIES

10 INFORMATION

11 FINANCE AND INSURANCE

12 REAL ESTATE AND RENTAL AND LEASING

13 PROFESSIONAL SCIENTIFIC AND TECHNICAL SERVICES

14 MANAGEMENT, ADMINISTRATIVE AND WASTE

MANAGEMENT SERVICES

15 EDUCATIONAL SERVICES

16 HEALTH CARE AND SOCIAL ASSISTANCE SERVICES

17 ARTS, ENTERTAINMENT, AND RECREATION

18 ACCOMMODATION AND FOOD SERVICES

19 PRIVATE HOUSEHOLDS

20 OTHER SERVICES, EXCEPT PRIVATE HOUSEHOLDS

21 PUBLIC ADMINISTRATION

22 ARMED FORCES

PRIMIND2 2 INTERMEDIATE INDUSTRY RECODE (JOB 2) 874 - 875

EDITED UNIVERSE: PRIOELG = 1 AND PEMJOT = 1 AND HRMIS = 4 OR 8

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-84

1 AGRICULTURE, FORESTRY, FISHING, and HUNTING

2 MINING

3 CONSTRUCTION

4 MANUFACTURING - DURABLE GOODS

5 MANUFACTURING - NON-DURABLE GOODS

6 WHOLESALE TRADE

7 RETAIL TRADE

8 TRANSPORTATION AND WAREHOUSING

9 UTILITIES

10 INFORMATION

11 FINANCE AND INSURANCE

12 REAL ESTATE AND RENTAL AND LEASING

13 PROFESSIONAL, SCIENTIFIC AND TECHNICAL SERVICES

14 MANAGEMENT, ADMINISTRATIVE AND WASTE

MANAGEMENT SERVICES

15 EDUCATIONAL SERVICES

16 HEALTH CARE AND SOCIAL ASSISTANCE SERVICES

17 ARTS, ENTERTAINMENT, AND RECREATION

18 ACCOMMODATION AND FOOD SERVICES

19 PRIVATE HOUSEHOLDS

20 OTHER SERVICES, EXCEPT PRIVATE HOUSEHOLDS

21 PUBLIC ADMINISTRATION

22 ARMED FORCES

PEAFWHN1 2 WHEN DID YOU SERVE? 876 - 877

EDITED UNIVERSE: PEAFEVER = 1

VALID ENTRIES

1 SEPTEMBER 2001 OR LATER

2 AUGUST 1990 TO AUGUST 2001

3 MAY 1975 TO JULY 1990

4 VIETNAM ERA (AUGUST 1964 TO APRIL 1975)

5 FEBRUARY 1955 TO JULY 1964

6 KOREAN WAR (JULY 1950 TO JANUARY 1955)

7 JANUARY 1947 TO JUNE 1950

8 WORLD WAR II (DECEMBER 1941 TO DECEMBER 1946)

9 NOVEMBER 1941 OR EARLIER

PEAFWHN2 2 WHEN DID YOU SERVE? 878 - 879

EDITED UNIVERSE: PEAFEVER = 1

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-85

1 SEPTEMBER 2001 OR LATER

2 AUGUST 1990 TO AUGUST 2001

3 MAY 1975 TO JULY 1990

4 VIETNAM ERA (AUGUST 1964 TO APRIL 1975)

5 FEBRUARY 1955 TO JULY 1964

6 KOREAN WAR (JULY 1950 TO JANUARY 1955)

7 JANUARY 1947 TO JUNE 1950

8 WORLD WAR II (DECEMBER 1941 TO DECEMBER 1946)

9 NOVEMBER 1941 OR EARLIER

PEAFWHN3 2 WHEN DID YOU SERVE? 880 - 881

EDITED UNIVERSE: PEAFEVER = 1

VALID ENTRIES

1 SEPTEMBER 2001 OR LATER

2 AUGUST 1990 TO AUGUST 2001

3 MAY 1975 TO JULY 1990

4 VIETNAM ERA (AUGUST 1964 TO APRIL 1975)

5 FEBRUARY 1955 TO JULY 1964

6 KOREAN WAR (JULY 1950 TO JANUARY 1955)

7 JANUARY 1947 TO JUNE 1950

8 WORLD WAR II (DECEMBER 1941 TO DECEMBER 1946)

9 NOVEMBER 1941 OR EARLIER

PEAFWHN4 2 WHEN DID YOU SERVE? 882 - 883

EDITED UNIVERSE: PEAFEVER = 1

VALID ENTRIES

1 SEPTEMBER 2001 OR LATER

2 AUGUST 1990 TO AUGUST 2001

3 MAY 1975 TO JULY 1990

4 VIETNAM ERA (AUGUST 1964 TO APRIL 1975)

5 FEBRUARY 1955 TO JULY 1964

6 KOREAN WAR (JULY 1950 TO JANUARY 1955)

7 JANUARY 1947 TO JUNE 1950

8 WORLD WAR II (DECEMBER 1941 TO DECEMBER 1946)

NAME SIZE DESCRIPTION LOCATION

6-86

9 NOVEMBER 1941 OR EARLIER

PXAFEVER 2 ALLOCATION FLAG 884 - 885

PEPAR2 2 LINE NUMBER OF FIRST PARENT (ALWAYS THE 886 - 887

FATHER, IF PRESENT. WILL BE A FEMALE IF THE

PARENTS ARE SAME SEX.)

EDITED UNIVERSE: ALL

VALID ENTRIES

-1 NO PEPAR2

01 MIN VALUE

16 MAX VALUE

PEPAR1 2 LINE NUMBER OF SECOND PARENT (ALWAYS THE 888 - 889

MOTHER, IF PRESENT. WILL BE A MALE IF THE

PARENTS ARE SAME SEX.)

EDITED UNIVERSE: ALL

VALID ENTRIES

-1 NO PEPAR1

01 MIN VALUE

16 MAX VALUE

PEPAR2TYP 2 TYPE OF PEPAR2 890 -891

EDITED UNVERSE: ALL

-1 NO PEPAR1 PRESENT

01 BIOLOGICAL

02 STEP

03 ADOPTED

PEPAR1TYP 2 TYPE OF PEPAR1 892 - 893

EDITED UNVERSE: ALL

-1 NO PEPAR2 PRESENT

NAME SIZE DESCRIPTION LOCATION

6-87

01 BIOLOGICAL

02 STEP

03 ADOPTED

PECOHAB 2 LINE NUMBER OF COHABITING PARTNER 894 - 895

EDITED UNIVERSE: ALL

VALID ENTRIES

-1 NO PARTNER PRESENT

01 MIN VALUE

16 MAX VALUE

PXPAR2 2 ALLOCATION FLAG 896 - 897

PXPAR1 2 ALLOCATION FLAG 898 - 899

PXPAR2TYP 2 ALLOCATION FLAG 900 - 901

PXPAR1TYP 2 ALLOCATION FLAG 902 - 903

PXCOHAB 2 ALLOCATION FLAG 904 – 905

PEDISEAR 2 IS…DEAF OR DOES…HAVE SERIOUS 906 - 907

DIFFICULTY HEARING?

EDITED UNIVERSE: PRPERTYP = 2

VALID ENTRIES

1 Yes

2 No

PEDISEYE 2 IS…BLIND OR DOES…HAVE SERIOUS 908 - 909

DIFFICULTY SEEING EVEN WHEN

WEARING GLASSES?

EDITED UNIVERSE: PRPERTYP = 2

VALID ENTRIES

NAME SIZE DESCRIPTION LOCATION

6-88

1 Yes

2 No

PEDISREM 2 BECAUSE OF A PHYSICAL, MENTAL, OR 910 - 911

EMOTIONAL CONDITION, DOES…HAVE

SERIOUS DIFFICULTY CONCENTRATING,

REMEMBERING, OR MAKING DECISIONS?

EDITED UNIVERSE: PRPERTYP = 2

VALID ENTRIES

1 Yes

2 No

PEDISPHY 2 DOES…HAVE SERIOUS DIFFICULTY 912 - 913

WALKING OR CLIMBING STAIRS?

EDITED UNIVERSE: PRPERTYP = 2

VALID ENTRIES

1 Yes

2 No

PEDISDRS 2 DOES … HAVE DIFFICULTY 914 - 915

DRESSING OR BATHING?

EDITED UNIVERSE: PRPERTYP = 2

VALID ENTRIES

1 Yes

2 No

PEDISOUT 2 BECAUSE OF A PHYSICAL, MENTAL, OR 916 - 917

EMOTIONAL CONDITION DOES…HAVE

DIFFICULTY DOING ERRANDS ALONE SUCH AS

VISITING A DOCTOR'S OFFICE OR SHOPPING?

EDITED UNIVERSE: PRPERTYP = 2

NAME SIZE DESCRIPTION LOCATION

6-89

VALID ENTRIES

1 Yes

2 No

PRDISFLG 2 DOES THIS PERSON HAVE ANY OF 918 - 919

THESE DISABILITY CONDITIONS?

EDITED UNIVERSE: PEDISEAR OR

PEDISEYE OR PEDISREM, PEDISPHY OR

PEDISDRS OR PEDISOUT = 1

VALID ENTRIES:

1 Yes

2 No

PXDISEAR 2 ALLOCATION FLAG 920 - 921

PXDISEYE 2 ALLOCATION FLAG 922 – 923

PXDISREM 2 ALLOCATION FLAG 924 - 925

PXDISPHY 2 ALLOCATION FLAG 926 - 927

PXDISDRS 2 ALLOCATION FLAG 928 - 929

PXDISOUT 2 ALLOCATION FLAG 930 - 931

HXFAMINC 2 ALLOCATION FLAG 932 - 933

PRDASIAN 2 DETAILED ASIAN RACE RECODE 934 – 935

EDITED UNIVERSE: PTDTRACE = 4

VALID ENTRIES

1 = Asian Indian

2 = Chinese

3 = Filipino

4 = Japanese

5 = Korean

6 = Vietnamese

NAME SIZE DESCRIPTION LOCATION

6-90

7 = Other

PEPDEMP1 2 DOES THIS PERSON USUALLY HAVE ANY 936 - 937

PAID EMPLOYEES?

See location 637-638 for the allocation flag.

EDITED UNIVERSE: HRMIS = 3 or 4 and

PEIO1COW = 6 or 7

VALID ENTRIES

1 YES

2 NO

PTNMEMP1 2 EXCLUDING ALL OWNERS, HOW MANY 938-939

PAID EMPLOYEES DOES THIS PERSON

USUALLY HAVE?

See location 681-682 for the allocation flag.

EDITED UNIVERSE: PEPDEMP1 = 1

VALID ENTRIES

01-74 Number of employees

75 75 or more employees

Note that this item is topcoded at 75 employees.

PEPDEMP2 2 DOES THIS PERSON USUALLY HAVE ANY 940 - 941

PAID EMPLOYEES?

See location 787-788 for the allocation flag.

EDITED UNIVERSE: HRMIS = 3 or 4 and

PEIO1COW = 6 or 7

VALID ENTRIES

1 YES

2 NO

PTNMEMP2 2 EXCLUDING ALL OWNERS, HOW MANY 942 - 943

PAID EMPLOYEES DOES THIS PERSON

NAME SIZE DESCRIPTION LOCATION

6-91

USUALLY HAVE?

See location 789-790 for the allocation flag.

EDITED UNIVERSE: PEPDEMP1 = 1

VALID ENTRIES

01-09 Number of employees

10 10 or more employees

Note that this item is topcoded at 10 employees.

PECERT1 2 DOES … HAVE A CURRENTLY 944-945

ACTIVE PROFESSIONAL CERTIFICATION

OR A STATE OR INDUSTRY LICENSE?

DO NOT INCLUDE BUSINESS LICENSES,

SUCH AS A LIQUOR LICENSE OR

VENDING LICENSE.

EDITED UNIVERSE: PRPERTYP = 2

VALID ENTRIES

1 Yes

2 No

PECERT2 2 WERE ANY OF …’S CERTIFICATIONS 946-947

OR LICENSES ISSUED BY THE

FEDERAL, STATE, OR LOCAL

GOVERNMENT?

EDITED UNIVERSE: PECERT1 = 1

VALID ENTRIES

1 Yes

2 No

PECERT3 2 EARLIER YOU TOLD ME THAT YOU HAD 948-949

A CURRENTLY ACTIVE PROFESSIONAL

CERTIFICATION OR LICENSE. IS YOUR

CERTIFICATION OR LICENSE REQUIRED

NAME SIZE DESCRIPTION LOCATION

6-92

FOR YOUR …

a) JOB?

b) MAIN JOB?

c) JOB FROM WHICH YOU ARE OF LAYOFF?

d) JOB AT WHICH YOU LAST WORKED?

EDITED UNIVERSE: PECERT2 = 1

VALID ENTRIES

1 Yes

2 No

PXCERT1 2 ALLOCATION FLAG 950-951

PXCERT2 2 ALLOCATION FLAG 952-953

PXCERT3 2 ALLOCATION FLAG 954-955

FILLER 45 FILLER 956 - 1000

End of Basic CPS Portion of the Record

7-1

ATTACHMENT 7

Supplement Record Layout

Current Population Survey

NOV 2023 Computer and Internet Use

Each variable includes valid entry of “-1” defined

as Not in universe.

NAME

SIZE

DESCRIPTION

LOCATION

HELAPTOP

2

(Do you/Does anyone in this household, including

1001-1002

you,) use a laptop computer at least occasionally?

Include any laptop computers [you/members of your

household] currently have access to and have used

during the past six months.

EDITED UNIVERSE:

HRINTSTA = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PELAPTOP

2

Who is that? 1003-1004

EDITED UNIVERSE:

HEDESKTP = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEDESKTP

2

What about a desktop? (Do you/Does

1005-1006

anyone in this household) use a desktop

computer?

EDITED UNIVERSE:

HELAPTOP = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

7-2

PEDESKTP

2

Who is that? 1007-1008

EDITED UNIVERSE:

HEDESKTP = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HETABLET

2

(Do you/Does anyone in this household) use

1009-1010

a tablet or e-book reader, such as an IPad

or Kindle?

EDITED UNIVERSE:

HELAPTOP = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PETABLET

2

Who uses a tablet or e-book reader? 1011-1012

EDITED UNIVERSE:

HETABLET = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEMPHONE

2

What about a smartphone, or a cell phone

1013-1014

that connects to the Internet?

(Do you/Does anyone in this household) use a

smartphone?

EDITED UNIVERSE:

HETABLET = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PEMPHONE

2

Who uses a cellular phone or smartphone? 1015-1016

EDITED UNIVERSE:

7-3

HEMPHONE = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEWEARAB

2

(Do you/Does anyone in this household) use a

1017-1018

wearable device such as

a smart watch or fitness band? Examples include

an Apple Watch or FitBit.

EDITED UNIVERSE:

HEMPHONE = 1, 2

-1 Not in universe

1 Yes

2 No

PEWEARAB

2

Who uses a wearable Internet-connected

1019-1020

device such as a smart watch or fitness band?

EDITED UNIVERSE:

HEWEARAB = 1

-1 Not in universe

1 Yes

2 No

HETVBOX

2

(Do you/Does anyone in this household) use a

1021-1022

smart TV, a game, or another device that connects to the

Internet and plays through a TV? Examples include an

Apple TV, Xbox, or ROKU that can access the Internet.

EDITED UNIVERSE:

HEWEARAB = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PETVBOX

2

Who uses a smart TV, a game, or another device that

connects to the Internet and plays through a TV?

1023-1024

EDITED UNIVERSE:

HETVBOX = 1

VALID ENTRIES:

7-4

-1 Not in universe

1 Yes

2 No

7-5

HEDEVQUA

HEDEVSTA

HEINHOME

2

How well do the computers and other Internet-

connected devices [you use/used by this household]

work overall?

VALID ENTRIES:

-1 Not in universe

1 They do not work at all

2 They rarely work well

3 They somewhat work

4 They work well

5 They work perfectly

At any point during the past six months, were

[you/members of your household] unable to use a

computer or other Internet-

connected device because

it was in use by someone else, located elsewhere, or

otherwise inaccessible?

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

(Do you/Does anyone in this household, including

1025-1026

1027-1028

1029-1030

you,) use the Internet at home?

EDITED UNIVERSE:

HETVBOX = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PEINHOME

2

Who uses the Internet at home? 1031-1032

EDITED UNIVERSE:

HEINHOME = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEINWORK

2

(Do you/Does anyone in this household) use the Internet at

1033-1034

7-6

work? Do not include work from home

EDITED UNIVERSE:

HEINHOME = 1, 2 AND PEMLR = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PEINWORK

2

Who uses the Internet at work? 1035-1036

EDITED UNIVERSE:

HEINWORK = 1 AND PEMLR = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEINSCHL

2

Do you/Does anyone in this household) use the

Internet at school? Please [only include use at school

as a student/count students only]. Do not include

taking online classes from a location other than a

school campus.

1037-1038

EDITED UNIVERSE:

HEINHOME = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

7-7

PEINSCHL

2

Who uses the Internet at school? 1039-1040

EDITED UNIVERSE:

HEINSCHL = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEINCAFE

2

What about at a coffee shop or other business 1041-1042

that offers Internet access? (Do you/Does

anyone in this household use the Internet

while at a coffee shop or other business that

offers Internet access?

EDITED UNIVERSE:

HEINSCHL = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PEINCAFE

2

Who uses the Internet at a coffee shop or

1043-1044

other business that offers Internet access?

EDITED UNIVERSE:

HEINCAFE = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEINTRAV

2

What about while going from place to place?

1045-1046

Examples include using the Internet while riding

public transit, or

using the Google Maps or Waze on

your cell phone while driving.

EDITED UNIVERSE:

HEINCAFE = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

7-8

PEINTRAV

2

Who uses the Internet while traveling

1047-1048

from place to place?

EDITED UNIVERSE:

HEINTRAV = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEINLICO

2

What about at a library, community center,

1049-1050

park, or other public place? (Do you/Does

anyone in this household use the Internet

at a library, community center, park, or

other public place?

EDITED UNIVERSE:

HEINTRAV = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PEINLICO

2

Who uses the Internet at a library,

1051-1052

community center, park, or other public

place?

EDITED UNIVERSE:

HEINLICO = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEINELHO

2

What about at someone else's home? (Do you/

1053-1054

Does anyone in this household) use the

Internet at someone else's home?

EDITED UNIVERSE:

HEINLICO = 1, 2

VALID ENTRIES:

-1 Not in universe

7-9

1 Yes

2 No

PEINELHO

2

Who uses the Internet at someone else's home?

1055-1056

7-10

EDITED UNIVERSE:

HEINELHO = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEINOTHR

2

(Do you/Does anyone in this household) use

1057-1058

the Internet at some other location we

haven't covered yet?

HEINELHO = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PEINOTHR

2

Who uses the Internet at some other location

1059-1060

we haven't covered?

EDITED UNIVERSE:

HEINOTHR = 1

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HENETCHK

2

Based on your responses, it sounds like (fill

1061-1062

NAMES where all INHOME, INWORK, INCAFE,

INTRAV, INLICO, INELHO, INOTHR = 2)

do not use the Internet. Did we miss anyone

in your household who uses the Internet

from any location, and for any purpose?

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

-2 Don't Know

-3 Refused

PENETCK2

2

Who uses the Internet from any location,

1063-1064

7-11

and for any purpose?

EDITED UNIVERSE:

HENETCHK = 1 and more than one person

7-12

displayed in HENETCHK.

VALID ENTRIES:

-1 Not in universe

1 Person uses the Internet

2 Person does not use the Internet

HEMOBDAT

2

(Do you/Does anyone in this household) access

1065-1066

the Internet using a data plan for a cell

phone, smartphone, tablet, mobile

hotspot, or other device? This type of

Internet service is provided by a wireless

carrier, and may be part of a package that

also includes voice calls from a cell phone

or smartphone.

EDITED UNIVERSE:

Any IN*[1-16] = 1 (anyone goes online

anywhere) OR HENETCHK = 1 for any

line number.

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEHMINT1

2

In addition to your household's mobile

1067-1068

Internet service or data plan, we are

interested in whether your household

also uses any other type of Internet

service when at home.

EDITED UNIVERSE:

HEMOBDAT = 1 AND HEINHOME = 1

VALID ENTRIES:

1 Continue

HEHMINT2

2

You mentioned that someone in this household

1069-1070

uses the Internet at home.

EDITED UNIVERSE:

HEMOBDAT = 2 AND ANY HEINHOME = 1

VALID ENTRIES:

1 Continue

7-13

HEHOMTE1

2

I am going to read a list of ways that people

1071-1072

access the Internet from their homes, other

than a mobile data plan. At home, (do you/

does anyone in this household) access

the Internet using:

High-speed Internet service installed at

home, such as cable, DSL, or fiber optic

service?

EDITED UNIVERSE:

Any PEINHOME = 1 and HEMOBDAT = 1 or 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEHOMTE2

2

I am going to read a list of ways that people

1073-1074

access the Internet from their homes, other

than a mobile data plan. At home, (do you/

does anyone in this household) access

the Internet using:

Satellite Internet service?

EDITED UNIVERSE:

Any PEINHOME = 1 and HEMOBDAT = 1 or 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

HEHOMTE3

2

I am going to read a list of ways that people

1075-1076

access the Internet from their homes, other

than a mobile data plan. At home, (do you/

does anyone in this household) access the

Internet using:

Some other service?

EDITED UNIVERSE:

Any PEINHOME = 1 and HEMOBDAT = 1 or 2

VALID ENTRIES:

-1 Not in universe

7-14

1 Yes

2 No

HEHNETQL

HEHNETST

2

Does your Internet connection at home fill your

meet needs, including for speed, reliability, and, if

applicable, data caps?

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

At any point in the past six months, did you temporarily lose an

internet connection due to difficulty paying?

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

1077-1078

1079-1080

PEEMAIL

2

(Do you/Does NAME) use email? 1081-1082

EDITED UNIVERSE:

ANY PEIN* = 1 AND PRTAGE = 15+

AND PUELGFLG = 20

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

PETEXTIM

2

What about texting or instant messaging? (Do

1083-1084

you/Does NAME) text or use instant

messaging?

EDITED UNIVERSE:

PEEMAIL = 1, 2

VALID ENTRIES:

-1 Not in universe

1 Yes

2 No

7-15

PESOCIAL

2

What about using social networks, such as

Facebook, Twitter, or Instagram? (Do you/

Does NAME) use social networks?

1085-1086

EDITED UNIVERSE:

VALID ENTRIES:

1 Yes

2 No

PEGAMING

PECONFER

2

What about playing video games online, whether on

a smartphone, console, PC, or

any other computing

device?

VALID ENTRIES:

1 Yes

2 No

In the past six months, (have/has) (you/

1087-1088

1089-1090

NAME) participated in video or voice calls

or conferencing over the Internet, such as

with Face Time or Zoom? (Do you/Does

NAME) participate in video or voice calls

or conferencing?

EDITED UNIVERSE:

PESOCIAL = 1, 2

VALID ENTRIES:

1 Yes

2 No

PEVIDEO

2

What about streaming or downloading videos?

1091-1092

(Do you/Does NAME) watch videos over the

Internet? Examples include You Tube and

Netflix.

VALID ENTRIES:

1 Yes

2 No

PEAUDIO

2

What about streaming or downloading music,

1093-1094

7-16

radio programs, or podcasts? (Do you/

Does NAME) stream or download music,

radio programs, or podcasts?

EDITED UNIVERSE:

PEVIDEO = 1, 2

VALID ENTRIES:

1 Yes

2 No

PEPUBLISH

2

What about posting or uploading blog posts,

1095-1096

original videos, or other content that

(you/NAME) created? Do not include photos

or videos taken for personal use and

shared to social media. (Do you/Does

NAME) publish or upload original content

that (you/NAME) created for the Internet?

EDITED UNIVERSE:

PEAUDIO = 1, 2

VALID ENTRIES:

1 Yes

2 No

PETELEWK

2

(Do you/Does NAME) use the Internet to

1097-1098

telecommute or work while away from

(your/his/her) usual workplace, such as

working from home?

EDITED UNIVERSE:

PEMLR = 1, 2 AND PUELGFLG = 20

AND PEPUBLISH = 1, 2

VALID ENTRIES:

1 Yes

2 No

PEJOBSCH

2

In the past six months, (have you/has NAME)

1099-1100

used the Internet to search or apply for a

job? (Do you/Does NAME) use the Internet

to search or apply for a job?

EDITED UNIVERSE:

PEPUBLISH = 1, 2

VALID ENTRIES:

7-17

1 Yes

2 No

PEEDTRAI

2

What about online classes or job training?

1101-1102

(Do you/Does NAME) use the Internet for

educational classes or job training?

EDITED UNIVERSE:

PEJOBSCH = 1, 2

VALID ENTRIES:

1 Yes

2 No

PEGOVTS

PEUSESVC

2

What about accessing government services, such

as registering to vote or renewing your driver’s

license?

VALID ENTRIES:

1 Yes

2 No

What about requesting services provided

1103-1104

1105-1106

by other people, for example hailing a ride

using Uber, ordering food using Doordash or Instacart,

reserving a room through Airbnb, or

requesting a home repair through Angi?

(Do you/Does NAME) use the Internet to request

services provided by other people?

EDITED UNIVERSE:

PEEDTRAI = 1 or 2

VALID ENTRIES:

1 Yes

2 No

7-18

PEESRVCS

2

What about offering (your/his/her) own

1107-1108

services for sale via the Internet? Examples

include offering rentals on Airbnb and

driving for Uber of Lyft. Do not include

any goods or possessions sold online,

such as clothing, shoes, or crafts. (Do

you/Does NAME) offer (your/his/her)

own services for sale via the Internet?

EDITED UNIVERSE:

PEUSESVC = 1, 2

VALID ENTRIES:

1 Yes

2 No

PEECOMME

2

In the past six months, (have/has) (you/

1109-1110

NAME) used the Internet for online shopping,

travel reservations, or other consumer

services on the Internet?

(Do you/Does NAME) use the Internet for

online shopping, travel reservations, or

other consumer services?

EDITED UNIVERSE:

PEESRVCS = 1, 2

VALID ENTRIES:

1 Yes

2 No

PEEGOODS

2

(Do you/Does NAME) use the Internet to

1111-1112

sell goods? Examples include selling items

on ETSY or Ebay.

EDITED UNIVERSE:

PEECOMME = 1, 2

VALID ENTRIES:

1 Yes

2 No

7-19

PEFINANC

2

(Do you/Does NAME) use the Internet for

1113-1114

financial services such as online banking, investing,

paying bills, or sending money to other people using

services like CashApp, Venmo, or PayPal?

EDITED UNIVERSE:

PEEGOODS = 1, 2

VALID ENTRIES:

1 Yes

2 No

PEVOICEA

PEHOMIOT

2

What about communicating with a digital

assistant, such as Alexa, Siri, or Google

Assistant?

EDITED UNIVERSE:

PEFINANC = 1,2

VALID ENTRIES:

1 Yes

2 No

What about interacting with household

1115-1116

1117-1118

equipment or appliances that are connected

to the Internet, such as a connected

thermostat, light bulb, or security system?

(Do you/Does NAME) use the Internet to

interact with household equipment or

appliances?

EDITED UNIVERSE:

PEFINANC = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEMEDREC

2

What about accessing health records or health

insurance records online. (Do you/Does anyone in this

household) access health records or health insurance

records online?

1119-1120

EDITED UNIVERSE:

Any PEIN*[1-16] = 1

7-20

VALID ENTRIES:

1 Yes

2 No

HEMEDDOC

2

(Do/Does) (you/anyone in this household,

1121-1122

including you,) communicate with a doctor or

other health professional using the Internet?

EDITED UNIVERSE:

HEMEDREC = 1,2

VALID ENTRIES:

1 Yes,

2 No

7-21

HEMEDINF

2

(Do you/Does anyone in this household)

1123-1124

research health information online, such

as with WebMD or similar services?

EDITED UNIVERSE:

HEMEDREC = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEMEDMON

2

(Do you/Does anyone in this household)

1125-1126

use an electronic health monitoring service

that collects and sends data to your doctor

or health care provider through the

Internet? Examples include connected

devices that monitor vital statistics,

blood glucose levels, or blood pressure.

EDITED UNIVERSE:

HEMEDINF = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSPRE1

2

During the past year, have concerns about

1127-1128

privacy or security stopped (you/anyone

in this household) from doing any of these

activities online:

Conducting financial transactions such as

banking, investing, or paying bills online?

EDITED UNIVERSE:

PEMEDMON = 1, 2 OR

ANY PEIN* = 1

VALID ENTRIES:

1 Yes

2 No

HEPSPRE2

2

During the past year, have concerns about

1129-1130

7-22

privacy or security stopped (you/anyone

in this household) from doing any of these

activities online:

Buying goods or services online?

EDITED UNIVERSE:

HEPSPRE1 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSPRE3

2

During the past year, have concerns about

1131-1132

privacy or security stopped (you/anyone

in this household) from doing any of these

activities online:

Posting photos or other

information on social networks?

EDITED UNIVERSE:

HEPSPRE2 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSPRE4

2

During the past year, have concerns about

1133-1134

privacy or security stopped (you/anyone

in this household) from doing any of these

activities online:

Expressing an opinion on a controversial

or political issue on a blog or social network,

or in an email?

EDITED UNIVERSE:

HEPSPRE3 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSPRE5

2

During the past year, have concerns about

1135-1136

privacy or security stopped (you/anyone

in this household) from doing any of these

activities online:

Finding information using Google or

another search engine?

7-23

EDITED UNIVERSE:

HEPSPRE4 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSCON1

2

Overall, what concerns (you/members of this 1137-1138

household) the most when it comes to online

privacy and security risks?

Identity theft

EDITED UNIVERSE:

HEPSPRE5 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSCON2

2

Overall, what concerns (you/members of this

1139-1140

household) the most when it comes to online

privacy and security risks?

Credit card or banking fraud

EDITED UNIVERSE:

HEPSPRE5 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSCON3

2

Overall, what concerns (you/members of this

1141-1142

household) the most when it comes to online

privacy and security risks?

Data collection or tracking by online services

HEPSPRE5 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSCON4

2

Overall, what concerns (you/members of this

1143-1144

household) the most when it comes to online

privacy and security risks?

7-24

Data collection or tracking by government

EDITED UNIVERSE:

HEPSPRE5 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSCON5

2

Overall, what concerns (you/members of this

1145-1146

household) the most when it comes to online

privacy and security risks?

Loss of control over personal data such as

email or social network profiles

EDITED UNIVERSE:

HEPSPRE5 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSCON6

2

Overall, what concerns (you/members of this

1147-1148

household) the most when it comes to online

privacy and security risks?

Threats to personal safety, such as online

harassment, stalking, or cyberbullying

EDITED UNIVERSE:

HEPSPRE5 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPSCON8

2

Overall, what concerns (you/members of this

1149-1150

household) the most when it comes to online

privacy and security risks?

Other concerns

EDITED UNIVERSE:

HEPSPRE5 = 1, 2

VALID ENTRIES:

1 Yes

2 No

7-25

HEPSCYBA

2

During the past year, (have you/has any

1151-1152

member of your household) been affected

by an online security breach, identity

theft, or a similar crime?

EDITED UNIVERSE:

HEPSCON8 = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEEVRHOM

2

(Have you/Has anyone in this household) ever

1153-1154

used the Internet from home?

EDITED UNIVERSE:

(ANY PEINWORK OR PEINSCHL OR PEINCAFE

OR PEINTRAV OR PEINLICO OR PEINELHO

OR PEINOTHR = 1 AND ALL PEINHOME = 2)

OR (ALL PEINHOME = 2 AND ALL PEINWORK

AND PEINSCHL AND PEINTRAV AND

PEINCAFE AND PEINLICO AND PEINELHO

AND PEINOTHR = 2)

VALID ENTRIES:

1 Yes

2 No

HENOHM1

2

What are the reasons why (you/members of

1155-1156

your household) do not use the Internet at

home?

Don't need it or not interested

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

7-26

HENOHM2

2

What are the reasons why (you/members of

1157-1158

your household) do not use the Internet at

home?

Can't afford it

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HENOHM3

2

What are the reasons why (you/members of

1159-1160

your household) do not use the Internet at

home?

Not worth the cost

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HENOHM4

2

What are the reasons why (you/members of

1161-1162

your household) do not use the Internet at

home?

Can use it elsewhere

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HENOHM5

2

What are the reasons why (you/members of

1163-1164

your household) do not use the Internet at

home?

Not available in the area

EDITED UNIVERSE:

HEEVRHOM = 1, 2

7-27

VALID ENTRIES:

1 Yes

2 No

HENOHM6

2

What are the reasons why (you/members of

1165-1166

your household) do not use the Internet at

home?

No computing device, or device

inadequate or broken

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HENOHM7

2

What are the reasons why (you/member of

1167-1168

your household) do not use the Internet at

home?

Online privacy or cybersecurity concerns

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HENOHM8

2

What are the reasons why (you/members of

1169-1170

your household) do not use the Internet at

home?

Personal safety concerns

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HENOHM9

2

What are the reasons why (you/members of

1171-1172

your household) do not use the Internet at

home?

Household moved or is in the process of

moving

7-28

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HENOHM10

2

What are the reasons why (you/members of 1173-1174

your household) do not use the Internet at

home?

Some other reason

EDITED UNIVERSE:

HEEVRHOM = 1, 2

VALID ENTRIES:

1 Yes

2 No

HEPRINOH

2

Of the reasons you just listed for not going

1175-1176

online at home, which (do you/does your

household) consider to be the most

important?

EDITED UNIVERSE:

(HENOHM1-10 = 1 for 2 OR MORE REASONS)

OR (HENOHM = 1 for one reason, precode

from HENOHM copied to HEPRINOH and

question skipped)

VALID ENTRIES:

1 Don't need it or not interested

2 Can't afford it

3 Not worth the cost

4 Can use it elsewhere

5 Not available in area

6 No computing device, or device inadequate or broken

7 Online privacy or cybersecurity concerns

8 Personal safety concerns

9 Household moved or is in the process of

moving

10 Other

HELOPRCE

3

At what monthly price, if any, would (you/your

household) buy home Internet service?

EDITED UNIVERSE:

1177-1179

7-29

HETRADTV

2

HEEVRHOM = 1,2

VALID ENTRIES:

0 None

1 – 199 Dollars

(Do/Does) (you/anyone in this household)

1180-1181

subscribe to cable TV or satellite TV? This

often requires a cable box or satellite dish.

Do not include TV streaming subscriptions,

such as Netflix, Sling TV, or Hulu.

EDITED UNIVERSE:

Any PEINHOME = 1 AND any PEINWORK,

PEINSCHL, PEINCAFE, PEINTRAV,

PEINLICO, PEINELHO, OR PEINOTHR = 1

VALID ENTRIES:

1 Yes

2 No

HEPREVTV

2

(Have/Has) (you/anyone in this household)

1182-1183

ever subscribed to cable TV or satellite TV?

Do not include TV streaming subscriptions,

such as Netflix, Sling TV, or Hulu.

EDITED UNIVERSE:

VALID ENTRIES:

1 Yes

2 No

7-30

PUELGFLG

2

Randomly selected household respondent. 1184-1185

VALID ENTRIES:

20 Randomly selected respondent

HXLAPTOP

HXDESKTP

HXTABLET

HXMPHONE

HXWEARAB

HXTVBOX

HXDEVQUA

HXDEVSTA

HXINHOME

HXINWORK

HXINSCHL

HXINCAFE

HXINTRAV

HXINLICO

HXINELHO

HXINOTHR

HXHOMTE1

HXHOMTE2

HXHOMTE3

HXHOMTE4

HXMOBDAT

HXHNETQL

HXHNETST

HXPSPRE1

HXPSCON1

HXMEDREC

HXMEDDOC

HXMEDINF

HXMEDMON

HXPSCYBA

2

ALLOCATION FLAGS

1186-1187

1188-1189

1190-1191

1192-1193

1194-1195

1196-1197

1198-1199

1200-1201

1202-1203

1204-1205

1206-1207

1208-1209

1210-1211

1212-1213

1214-1215

1216-1217

1218-1219

1220-1221

1222-1223

1224-1225

1226-1227

1228-1229

1230-1231

1232-1233

1234-1235

1236-1237

1238-1239

1240-1241

1242-1243

1244-1245

7-31

HXNOHM1

HXEVRHOM

HXPRINOH

HXLOPRCE

HXTRADTV

HXPREVTV

PXLAPTO

P

PXDESKT

P

PXTABLET

PXMPHONE

PXWEARAB

PXTVBOX

PXINHOME

PXINWORK

PXINSCHL

PXINCAFE

PXINTRAV

PXINLICO

PXINELHO

PXINOTHR

PXNETCK2

PXEMAIL

PXTEXTIM

PXSOCIAL

PXGAMING

PXCONFER

PXVIDEO

PXAUDIO

PXPUBLISH

PXTELEWK

PXJOBSCH

PXEDTRAI

PXEGOVTS

PXUSESVC

PXESRVCS

PXECOMME

PXEGOODS

2

1246-1247

1248-1249

1250-1251

1252-1253

1254-1255

1256-1257

1258-1259

1260-1261

1262-1263

1264-1265

1266-1267

1268-1269

1270-1271

1272-1273

1274-1275

1276-1277

1278-1279

1280-1281

1282-1283

1284-1285

1286-1287

1288-1289

1290-1291

1292-1293

1294-1295

1296-1297

1298-1299

1300-1301

1302-1303

1304-1305

1306-1307

1308-1309

1310-1311

1312-1313

1314-1315

1316-1317

1318-1319

7-32

PXFINANC

PXVOICEA

PXHOMIOT

PWPRMWGT

2

10

Random Respondent Weight (4 Implied decimals)

1320-1321

1322-1323

1324-1333

1

ATTACHMENT 8

SUPPLEMENT QUESTIONNAIRE

November 2023 Internet and Computer Use

CMPINT

All households

This month we are asking some additional questions about Internet use. First, we

will ask what types of computers and other devices [you/members of your

household] currently use. Please focus on devices [you/members of your

household] currently have access to, and have used at least occasionally during

the past six months.

We are interested in devices used at home, work, school, a

library, or any

other place.

LAPTOP

All households

[Do you/Does anyone in this household, including you,] use a laptop computer at

least occasionally

? Include any laptop computers [you/members of your

household] currently have access to and have used during the past six months.

(If

needed)

A laptop is a personal computer that is portable and includes a built-in

keyboard and screen.

(If yes & is multi-person household) Who is that?

Enter persons by line number (1

-16)

DESKTP

All households

What about a desktop? [Do you/Does anyone in this household] use a desktop

computer?

(If needed) A desktop is a personal computer that must be plugged

into a power outlet and is typically at a single location

. (If yes & is multi-person

household)

Who is that?

Enter persons by line number (1

-16)

TABLET

All households

What about a tablet or e-book reader, such as an iPad or Kindle? (If needed) A

tablet or e

-book reader is a personal computer that is portable and has a built-in

screen, but does not have a built

-in physical keyboard. (If yes & is multi-person

household)

Who is that?

Enter persons by line number (1

-16)

MPHONE

All households

What about a smartphone, or a cell phone that connects to the Internet? (If

needed)

[Do you/Does anyone in this household] use a smartphone? (If yes & is

multi

-person household) Who is that?

Enter persons by line number (1

-16)

2

WEARAB

All

households

[Do you/Does anyone in this household] use a wearable device that is connected

to the Internet, such as a smart watch or fitness band?

(If needed) Examples

include an Apple Watch or Fitbit.

(If yes & is multi-person household) Who is

that?

Enter persons by line number (1

-16)

TVBOX

All households

[Do you/Does anyone in this household] use a smart TV, a game system, or

another device that connects to the Internet and plays through a TV? Examples

include an Apple TV,

Xbox, or Roku that can access the Internet. (If yes & is

multi

-person household) Who is that?

Enter persons by line number (1

-16)

If any (DESKTP LAPTOP TABLET MPHONE WEARAB TVBOX)[1-16] == 1 (anyone in

the household uses any device), go to DEVQUA

Else go to INTINT

DEVQUA

Households w/

any device use

Thinking about all the different devices we just discussed, how well do the

computers and other Internet

-connected devices [you use/used by this household]

work overall?

Please do not include home Wi-Fi routers or similar equipment.

Read and select best match

; if respondent is unsure, ask for an average

(1)

They do not work at all

(2)

They work poorly

(3)

They somewhat work

(4)

They work well

(5)

They work perfectly

DEVSTA

Households w/

any device use

At any point during the past six months, were [you/members of your household]

unable to use a computer or other Internet

-

connected device because it was in use

by someone else, located elsewhere, or otherwise inaccessible?

(1)

Yes

(2)

No

INTINT

All households

Next, we will ask where [you/members of your household] currently use the

Internet. Please focus on places where [you/members of your household] have

used the Internet at least occasionally during the past six months. Internet use

includes a wide variety o

f activities on all devices, from checking email or

browsing the Web to watching videos or using mobile apps.

3

INHOME

All households

[Do you/Does anyone in this household, including you,] use the Internet at home?

This includes accessing the Internet with a cell phone, computer, tablet, or other

device.

(If yes & is multi-person household) Who is that?

Enter persons by line number (1

-16)

If any PEMLR[1-16] == 1 or 2 (anyone in the household is employed), go to INWORK

Else go to INSCHL

INWORK

HHs w/ at least 1

employed person

[Do you/Does anyone in this household] use the Internet at work? Do not include

work from home.

(If yes & is multi-person household) Who is that?

Enter persons by line number (1

-16)

INSCHL

All households

[Do you/Does anyone in this household] use the Internet at school? Please [only

include use at school as a student/

count students only]. Do not include taking

online classes

from a location other than a school campus. (If yes & is multi-

person household)

Who is that?

Enter persons by line number (1

-16)

INCAFE

All households

What about at a coffee shop or other business that offers Internet access? (If

needed)

[Do you/Does anyone in this household] use the Internet while at a

coffee shop or other business that offers Internet access?

(If yes & is multi-

person

household)

Who is that?

Enter persons by line number (1

-16)

INTRAV

All households

What about while going from place to place? Examples include using the Internet

while riding public transit, or using

Google Maps or Waze on your cell phone

while driving.

(If needed) [Do you/Does anyone in this household] use the

Internet while going from one place to another?

(If yes & is multi-person

household)

Who is that?

Enter persons by line number (1

-16)

INLICO

All households

What about at a library, community center, park, or other public place? (If

needed)

[Do you/Does anyone in this household] use the Internet at a library,

community center, park, or other public place?

(If yes & is multi-person

household)

Who is that?

Enter persons by line number (1

-16)

4

INELHO

All households

What about at someone else’s home? (If needed) [Do you/Does anyone in this

household] use the Internet at someone else’s home?

(If yes & is multi-person

household)

Who is that?

Enter persons by line

number (1-16)

INOTHR

All households

[Do you/Does anyone in this household] use the Internet at some other location

we haven’t covered?

(If yes & is multi-person household) Who is that?

Enter persons by line number (1

-16)

If HRNUMHOU > 1 & (total persons where any IN* == 1) < HRNUMHOU (this is a multi-

person household and not everyone was reported as using the Internet), go to NETCHK

Else if any IN*[1

-16] == 1 (anyone goes online anywhere), go to TCHINT

Else go to NONINT

NETCHK

Multi

-

person HHs

reporting any

non

-Internet users

Based on your responses, it sounds like (list names where all IN* != 1) [does/do]

not use the Internet. [Does/Do] [

NAME/you/these people in your household] use

the Internet from any location, and for any purpose?

(If additional users) Who

uses the Internet from any location, and for any purpose?

Fill appropriate lines if necessary; locations of use will be allocated

If any IN*[1-16] or NETCHK == 1 (anyone goes online anywhere), go to TCHINT

Else go to NONINT

TCHINT

HHs

w/ any

Internet users, any

location

Next, we are interested in learning about the specific technologies households use

to go online. Please focus on how your household as a whole connects to the

Internet.

MOBDAT

HHs w/ any

Internet users, any

location

[Do you/Does anyone in this household] access the Internet using a data plan for

a cell phone, smartphone, tablet, mobile hotspot, or other device? This type of

Internet service is provided by a wireless carrier, and may be part of a package

that also incl

udes voice calls from a cell phone or smartphone.

(1)

Yes

(2)

No

If any INHOME[1-16] == 1 & MOBDAT == 1 (anyone goes online at home and household

has a mobile data plan), go to HMINT1

Else if INHOME[1

-16] == 1 & MOBDAT == 2 (anyone goes online at home but household

does not have a mobile data plan), go to HMINT2

Else go

to USEINT

5

HMINT1

HHs w/ any home

Internet users &

MOBDAT == 1

In addition to [your/your household’s] mobile Internet service or data plan, we

are interested in whether [you/your household] also

use[s] any other type of

Internet service when at home.

Go to HOMTE

HMINT2

HHs w/ any home

Internet users &

MOBDAT == 2

You mentioned that [you/someone in this household/members of this household]

use[s] the Internet at home.

HOMTE

HHs w/ any home

Internet users

I am going to read a list of ways that people access the Internet from their homes,

other than a mobile data plan

. At home, [do you/does anyone in this

household] access the Internet using:

Read and select all that apply

(1)

High-speed Internet service installed at home, such as cable, DSL, or fiber-

optic service? (If needed) This type of Internet service is often provided by a

cable company or phone company. (Go to HNETQL)

(2)

Satellite Internet service? (If needed) This type of Internet service is received

through a satellite dish installed at home. (Go to HNETQL)

(3)

Some other service? (Go to TEOTHR)

(4)

(Do not read) None (Go to HNETQL)

TEOTHR

HHs w/ any home

Internet users &

HOMTE4 == 1

What other service?

Enter verbatim response

HNETQL

HHs w/ any home

Internet users

In [your/your household’s] experience over the past six months, does your

[household’s]

Internet connection at home meet [your/the household’s] needs,

including for speed,

reliability, and, if applicable, data caps?

(1)

Yes

(2)

No

HNETST

HHs w/ any home

Internet users

At any point during the past six months, did [you/this household] temporarily

lose a home Internet connection due to difficulty paying?

(1)

Yes

(2)

No

6

Random age 15+ Internet user in household (any IN*[1-16] or NETCHK == 1 & PRTAGE

>= 15) selected for questions EMAIL

-HOMIOT.

If all Internet users are under 15 years old, skip to MEDINT.

USEINT

Random

respondents

We are interested in learning about the applications and services people use on

the Internet. [(

If is multi-person household) We have randomly selected one

member of your household for this section.] Consider how [you

personally/NAME] currently use[s] the technologies we’ve been discussing,

whether at home or any other location. Please focus on activities [you

have/NAME has] don

e online at least occasionally during the past six months.

EMAIL

Random

respondents

[Do you/Does NAME] use email?

(1)

Yes

(2)

No

TEXTIM

Random

respondents

What about texting or instant messaging? (If needed) [Do you/Does NAME] text

or use instant messaging?

(1)

Yes

(2)

No

SOCIAL

Random

respondents

What about using social networks, such as Facebook, Twitter, or Instagram? (If

needed)

[Do you/Does NAME] use social networks?

(1)

Yes

(2)

No

GAMING

Random

respondents

What about playing video games online, whether on a smartphone, console, PC,

or any other computing device?

(If needed) [Do you/Does NAME] use the

Internet to play video games?

(1)

Yes

(2)

No

CONFER

Random

respondents

In the past six months, [have you/has NAME] participated in video or voice calls

or conferencing over the Internet, such as with FaceTime

or Zoom? (If needed)

[Do you/Does NAME] participate in video or voice calls or conferencing?

(1)

Yes

(2)

No

VIDEO

Random

respondents

What about streaming or downloading videos? [Do you/Does NAME] watch

videos over the Internet? Examples include YouTube and Netflix.

(1)

Yes

(2)

No

7

AUDIO

Random

respondents

What about streaming or downloading music, radio programs, or podcasts? (If

needed)

[Do you/Does NAME] listen to music, radio programs, or podcasts

using

the Internet

?

(1)

Yes

(2)

No

PUBLSH

Random

respondents

What about posting or uploading blog posts, original videos, or other content that

[you/NAME] created? Do not include photos or videos taken for personal use and

shared to social media.

(If needed) [Do you/Does NAME] publish or upload

original content that [you/NAME] created to the Internet?

(1)

Yes

(2)

No

If PEMLR[selected respondent] == 1 or 2 (respondent is employed), go to TELEWK

Else go to JOBSCH

TELEWK

Employed

random

respondents

[Do you/Does NAME] use the Internet to telecommute or work while away from

[your/

their] usual workplace, such as working from home?

(1)

Yes

(2)

No

JOBSCH

Random

respondents

In the past six months, [have you/has NAME] used the Internet to search or apply

for a job?

(If needed) [Do you/Does NAME] use the Internet to search or apply

for a job?

(1)

Yes

(2)

No

EDTRAI

Random

respondents

What about online classes or job training? (If needed) [Do you/Does NAME] use

the Internet for educational classes or job training?

(1)

Yes

(2)

No

EGOVTS

Random

respondents

What about accessing government services, such as registering to vote or

renewing your driver’s license?

(If needed) [Do you/Does NAME] use the

Internet to access government services?

(1)

Yes

(2)

No

8

USESVC

Random

respondents

What about requesting services provided by other people? Examples include

hailing a ride using Uber,

ordering food using DoorDash or Instacart, reserving a

room through Airbnb, or requesting a home repair through Angi?

(If needed)

[Do

you/Does NAME] use the Internet to request services provided by other people?

(1)

Yes

(2)

No

ESRVCS

Random

respondents

What about offering [your/their] own services for sale via the Internet? Examples

include offering rentals on Airbnb and driving for Uber or Lyft. Do not include

any goods or possessions sold online, such as clothing, shoes, or crafts.

(If

needed)

[Do you/Does NAME] offer [your/his/her] own services for sale via the

Internet?

(1)

Yes

(2)

No

ECOMME

Random

respondents

In the past six months, [have you/has NAME] used the Internet for online

shopping, travel reservations, or other consumer services on the Internet?

(If

needed)

[Do you/Does NAME] use the Internet for online shopping, travel

reservations, or other consumer services?

(1)

Yes

(2)

No

EGOODS

Random

respondents

[Do you/Does NAME] use the Internet to sell goods? Examples include selling

items on Etsy or eBay.

(1)

Yes

(2)

No

FINANC

Random

respondents

[Do you/Does NAME] use the Internet for financial services such as online

banking, investing, paying bills

, or sending money to other people using services

like CashApp, Venmo, or PayPal

? (If needed) Examples include using your

bank’s website or app,

and paying a credit card or utility bill online.

(1)

Yes

(2)

No

VOICEA

Random

respondents

What about communicating with a digital assistant, such as Alexa, Siri, or Google

Assistant?

(3)

Yes

(4)

No

9

HOMIOT

Random

respondents

What about interacting with household equipment or appliances that are

connected to the Internet, such as a

smart thermostat, light bulb, or security

system?

(If needed) [Do you/Does NAME] use the Internet to interact with

household equipment or appliances?

(1)

Yes

(2)

No

MEDINT

HHs w/ any

Internet users, any

location

(If multi-person household) Our remaining questions are about your household as

a whole.

(All) I’m going to ask a couple of questions about how [you have/your

household has] used the Internet for health

-related activities during the past six

months.

MEDREC

HHs w/ any

Internet users, any

location

[Do you/Does anyone in this household, including you,] access health records or

health insurance records online

?

(1)

Yes

(2)

No

MEDDOC

HHs w/ any

Internet users, any

location

[Do you/Does anyone in this household] communicate with a doctor or other

health professional using the Internet

? (If needed) Examples include telehealth

appointments and communicating over a patient portal or email.

(1)

Yes

(2)

No

MEDINF

HHs w/ any

Internet users, any

location

[Do you/Does anyone in this household] research health information online, such

as with WebMD or similar services?

(1)

Yes

(2)

No

MEDMON

HHs w/ any

Internet users, any

location

[Do you/Does anyone in this household] use an electronic health monitoring

service that collects and sends data to your doctor or health care provider through

the Internet? Examples

include connected devices that monitor vital statistics,

blood glucose levels, or blood pressure.

(1)

Yes

(2)

No

UHHINT

HHs w/ any

Internet users, any

location

(If multi-person household) We are interested in learning generally, without

identifying specific people, what challenges your household has had while using

the Internet.

(If single

-person household) We are interested in learning what challenges you

have had while using the Internet.

10

PSPRE

HHs w/ any

Internet users, any

location

During the past 12 months, have concerns about privacy or security stopped

[you/anyone in this household] from:

Read and select all that apply

(1)

Conducting financial transactions such as banking, investing, or paying bills

online?

(2)

Buying goods or services online?

(3)

Posting photos or other information on social networks?

(4)

Expressing an opinion on a controversial or political issue, such as on a blog

or social network, or in an email?

(5)

Finding information using Google or another search engine?

(6)

(Do not read) None of the above

PSCON

HHs w/ any

Internet users, any

location

Overall, what concerns [you/members of this household] the most when it comes

to online privacy and security risks?

Do not read; select all that apply and/or enter verbatim response if other

(1)

Identity theft

(2)

Credit card or banking fraud

(3)

Data collection or tracking by online services

(4)

Data collection or tracking by government

(5)

Loss of control over personal data such as email or social network profiles

(6)

Threats to personal safety, such as online harassment, stalking, or cyber-

bullying

(7)

No concerns

(8)

Other: ___________________________

PSCYBA

HHs w/ any

Internet users, any

location

During the past year, [have you/has any member of your household] experienced

an online security breach, identity theft, or a similar crime?

(1)

Yes

(2)

No

If any INHOME[1-16] == 1 (anyone goes online at home), go to TVINT

Else go to NHMINT

NHMINT

HHs w/ any

Internet users, but

none from home

You previously mentioned that [you/members of your household] use the Internet

in some places, but not at home.

Go to EVRHOM

11

NONINT

HHs w/o any

Internet users

from anywhere

(If multi-person household) Our remaining questions are about your household as

a whole. We are interested in learning why households such as yours do not use

the Internet.

(If single

-person household) For our remaining questions, we are interested in

learning why you do not use the Internet.

EVRHOM

HHs w/o any

home Internet

users

[Have you/Has anyone in this household] ever used the Internet from home?

(1)

Yes

(2)

No

NOHM

HHs w/o any

home Internet

users

What are the reasons why [you/members of your household] do not use the

Internet at home?

R

ead and select all that apply and/or enter verbatim response if other

(1) Don’t need it or not interested

(2) Can’t afford it

(3) Not worth the cost

(4) Can use it elsewhere

(5) Not available in area

(6) No computing device, or device inadequate or broken

(7) Online privacy or cybersecurity concerns

(8) Personal safety concerns

(9) Household moved or is in the process of moving

(10)

Other: ____________________________

If more than one NOHM response given, go to PRINOH

Else go to

LOPRCE

PRINOH

HHs w/o any

home Internet

users & more than

one NOHM

response

Of the reasons you just listed for not going online at home, which [do you/does

your household] consider to be the most important?

Read previous responses; select best match or enter verbatim response if other

(1) Don’t need it or not interested

(2) Can’t afford it

(3) Not worth the cost

(4) Can use it elsewhere

(5) Not available in area

(6) No computing device, or device inadequate or broken

(7) Online privacy or cybersecurity concerns

(8) Personal safety concerns

(9) Household moved or is in the process of moving

(10)

Other: ____________________________

12

LOPRCE

HHs w/o any

home Internet

users

At what monthly price, if any, would [you/your household] buy home Internet

service?

Enter

number in dollars or zero if ‘none’

TVINT

All households

Our last few questions are about the use of cable TV and satellite TV services not

accessed through the Internet.

TRADTV

All households

[Do you/Does anyone in this household] subscribe to cable TV or satellite TV?

This often requires a cable box or satellite dish. Do not include TV streaming

subscriptions, such as Netflix, Sling TV, or Hulu.

(1)

Yes (End Interview)

(2)

No (Go to PREVTV)

PREVTV

HHs w/o any

cable TV

subscribers

[Have you/Has anyone in this household] ever subscribed to cable TV or satellite

TV? Do not include TV streaming subscriptions, such as Netflix, Sling TV, or

Hulu.

(1)

Yes

(2)

No

CODE DESCRIPTION INDUSTRY CODE

9-1

ATTACHMENT 9

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 10-12 of

this attachment). The codes in the right hand column are the NAICS equivalent.

These codes correspond to Items PEIO1ICD and PEIO2ICD, in positions 856-859 and 864-867 of

the Basic CPS record layout in all months, except the ASEC files. In the ASEC, these codes

correspond to PEIOIND and INDUSTRY, in the Person record.

Note: The Census industry codes and NAICS codes are based on the 2017 North American Industry Classification System.

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

CODE DESCRIPTION INDUSTRY CODE

9-2

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

CODE DESCRIPTION INDUSTRY CODE

9-3

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

CODE DESCRIPTION INDUSTRY CODE

9-4

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

CODE DESCRIPTION INDUSTRY CODE

9-5

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

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

CODE DESCRIPTION INDUSTRY CODE

9-6

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

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

CODE DESCRIPTION INDUSTRY CODE

9-7

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

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.

CODE DESCRIPTION INDUSTRY CODE

9-8

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

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

CODE DESCRIPTION INDUSTRY CODE

9-9

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

CODE DESCRIPTION INDUSTRY CODE

9-10

Detailed Industry Recodes

(01-52)

These codes correspond to Items PRDTIND1 and PRDTIND2 in positions 472-475 of the Basic CPS

record layout in all months except ASEC. In ASEC, these codes correspond to Item

A_DTIND.

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

CODE DESCRIPTION INDUSTRY CODE

9-11

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,

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

9-12

Major Industry Recodes

(01-14)

These codes correspond to Items PRMJIND1 and PRMJIND2 located in positions 482-485 of the Basic CPS

record layout in all months except ASEC. In ASEC, these codes correspond to Item A_MJIND.

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

10-1

ATTACHMENT 10

OCCUPATION CLASSIFICATION

(Beginning January 2020)

These categories are aggregated into 23 detailed groups and 11 major groups (see pages 10-17 and 10-

18). The codes in the right hand column are the 2018 SOC equivalent.

These codes correspond to items PTIO1OCD and PTIO2OCD in positions 860-863 and 868-871 of the

Basic CPS record layout in all months, except the ASEC files. In ASEC, these codes correspond to items

PEIOOCC and OCCUP of the Persons Record. These codes are also applicable for any other CPS

supplements that collect occupation data.

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

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

Architectural and 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

Other managers

11-91XX

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-2

Business and Financial Operations Occupations

0500

Agents and business managers of artists, performers, and athletes

13-1011

0510

Buyers and purchasing agents, 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

Credit counselors and loan officers

13-2070

0930

Tax examiners and collectors, and revenue agents

13-2081

0940

Tax preparers

13-2082

0960

Other financial specialists

13-20XX

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 and digital interface designers

15-1255

1050

Computer support specialists

15-1230

1065

Database administrators and architects

15-124X

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-3

1105

Network and computer systems administrators

15-1244

1106

Computer network architects

15-1241

1108

Computer occupations, all other

15-1299

1200

Actuaries

15-2011

1220

Operations research analysts

15-2031

1240

Other mathematical science occupations

15-20XX

Architecture and Engineering Occupations

1305

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

Biomedical and agricultural 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

1520

Petroleum, mining and geological engineers, including mining safety engineers

17-21XX

1530

Other engineers

17-21XX

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

Other life scientists

19-10XX

1700

Astronomers and physicists

19-2010

1710

Atmospheric and space scientists

19-2021

1720

Chemists and materials scientists

19-2030

1745

Environmental scientists and specialists, including health

19-2041

1750

Geoscientists and hydrologists, except geographers

19-204X

1760

Physical scientists, all other

19-2099

1800

1821

1822

Economists

Clinical and counseling psychologists

School psychologists

19-3011

19-3033

19-3034

1825

Other psychologists

19-303X

1840

Urban and regional planners

19-3051

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-4

1860

Other social scientists

19-30XX

1900

Agricultural and food science technicians

19-4010

1910

Biological technicians

19-4021

1920

Chemical technicians

19-4031

1935

Environmental science and geoscience technicians, and nuclear technicians

19-40XX

1970

Other life, physical, and social science technicians

19-40YY

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, and judges, magistrates and other judicial workers

23-10XX

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

Educational 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

2350

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

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-5

2545

Teaching assistants

25-9040

2555

Other educational instruction and library workers

25-90XX

Arts, Design, Entertainment, Sports, and Media Occupations

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

27-102X

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

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

Other media and communication equipment workers

27-40XX

2910

Photographers

27-4021

2920

Television, video, and film camera operators and editors

27-4030

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

Physicians

29-1210

3100

Surgeons

29-1240

3110

3120

Physician assistants

Podiatrists

29-1071

29-1081

3140

Audiologists

29-1181

3150

Occupational therapists

29-1122

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-6

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

3245

Other therapists

29-112X

3250

Veterinarians

29-1131

3255

Registered nurses

29-1141

3256

Nurse anesthetists

29-1151

3258

Nurse practitioners, and nurse midwives

29-11XX

3261

Acupuncturists

29-1291

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

29-2056

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

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-7

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

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

Miscellaneous first-line supervisors, protective service workers

33-1090

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

Fish and game wardens and parking enforcement officers

33-30XX

3870

Police officers

33-3050

3900

Animal control workers

33-9011

3910

Private detectives and investigators

33-9021

3930

Security guards and gambling 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

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-8

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 groundskeeping 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

Personal Care and Service Occupations

4330

Supervisors of personal care and service workers

39-1000

4340

Animal trainers

39-2011

4350

Animal caretakers

39-2021

4400

Gambling services workers

39-3010

4420

Ushers, lobby attendants, and ticket takers

39-3031

4435

Other entertainment attendants and related workers

39-30XX

4461

Embalmers, crematory operators and funeral attendants

39-40XX

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

4525

Other personal appearance workers

39-509X

4530

Baggage porters, bellhops, and concierges

39-6010

4540

Tour and travel guides

39-7010

4600

Childcare workers

39-9011

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

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-9

Sales and Office Occupations

Sales and Related Occupations

4700

First-line supervisors of retail sales workers

41-1011

4710

First-line supervisors 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, financial

services, and travel

41-3091

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

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

43-3021

5120

Bookkeeping, accounting and auditing clerks

43-3031

5140

Payroll and timekeeping clerks

43-3051

5150

Procurement clerks

43-3061

5160

Tellers

43-3071

5165

Other financial clerks

43-30XX

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

Correspondence clerks and order clerks

43-4XXX

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-10

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

Other information and record clerks, all other

43-4YYY

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

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

5940

Other office and administrative support workers

43-9XXX

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-11

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

6040

Graders and sorters, agricultural products

45-2041

6050

Other agricultural workers

45-20XX

6115

Fishing and hunting workers

45-3031

6120

Forest and conservation workers

45-4011

6130

Logging workers

45-4020

Construction and Extraction Occupations

6200

First-line supervisors of construction trades and extraction workers

47-1011

6210

Boilermakers

47-2011

6220

Brickmasons, blockmasons, stonemasons, and reinforcing iron and rebar workers

47-2XXX

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

6515

Roofers

47-2181

6520

Sheet metal workers

47-2211

6530

6540

Structural iron and steel workers

Solar photovoltaic installers

47-2221

47-2231

6600

Helpers, construction trades

47-3010

6660

Construction and building inspectors

47-4011

6700

Elevator and escalator 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

Other construction and related workers

47-40XX

6800

Derrick, rotary drill, and service unit operators, and roustabouts, oil and gas

47-50YY

6825

Surface mining machine operators and earth drillers

47-5020

6835

Explosives workers, ordnance handling experts, and blasters

47-5032

6850

Underground mining machine operators

47-5040

6950

Other extraction workers

47-50XX

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-12

Installation, Maintenance, and Repair Occuptions

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

Other electrical and electronic equipment mechanics, installers, and repairers

49-209X

7120

Audiovisual 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

49-90XX

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-13

Production, Transportation, and Material Moving Occupations

Production Occupation

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

7905

Computer numerically controlled tool operators and programmers

51-9160

7925

Forming machine setters, operators, and tenders, metal and plastic

51-4020

7950

Cutting, punching, and press machine setters, operators, and tenders, metal and

plastic

51-4031

8000

Grinding, lapping, polishing, and buffing machine tool setters, operators, and

tenders, metal and plastic

51-4033

8025

Other machine tool setters, operators, and tenders, metal and plastic

51-403X

8030

Machinists

51-4041

8040

Metal furnace operators, tenders, pourers, and casters

51-4050

8100

Model makers, patternmakers, and molding machine setters, metal and plastic

51-40XX

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

Pressers, textile, garment, and related materials

51-6021

8320

Sewing machine operators

51-6031

8335

Shoe and leather workers

51-6040

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

Other woodworkers

51-70XX

8600

Power plant operators, distributors, and dispatchers

51-8010

8610

Stationary engineers and boiler operators

51-8021

8620

Water and wastewater treatment plant and system operators

51-8031

8630

Miscellaneous plant and system operators

51-8090

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-14

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

9050

Air traffic controllers and airfield operations specialists

Flight attendants

53-2020

53-2031

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

53-40XX

9300

Sailors and marine oilers, and ship engineers

53-50XX

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

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

51-9151

8850

Adhesive bonding machine operators and tenders

51-9191

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

8950

Helpers--production workers

51-9198

8990

Miscellaneous production workers, including equipment operators and tenders

51-91XX

2018

CENSUS

CODE

DESCRIPTION

2018 SOC

CODE

10-15

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 Specific Occupations

55-0000

10-16

Detailed Occupation Recodes

(01-23)

These codes correspond to Items PRDTOCC1 and PRDTOCC2 in positions 476-479 of the Basic CPS

record layout in all months, except the ASEC files. In ASEC, these codes correspond to Item A_DTOCC.

CODE

1

CODE DESCRIPTION

Management occupations

OCCUPATION CODE

0010-0440

2

Business and financial operations occupations

0500-0960

3

Computer and mathematical 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

2205-2555

9

Arts, design, entertainment, sports, and media occupations

2600-2920

10

Healthcare practitioner and technical occupations

3000-3550

11

Healthcare support occupations

3601-3655

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

4330-4655

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

Military specific occupations

9840

10-17

Major Occupation Group Recodes

(01-11)

These codes correspond to Items PRMJOCC1 and PRMJOCC2 located in positions 482-485 of the Basic

CPS record layout in all months, except the ASEC files. In ASEC, these codes correspond to Item

A_MJOCC.

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

Military specific occupations

9840

11-1

ATTACHMENT 11

Specific Metropolitan Identifiers

(Geographic Attachment for

CPS Public Use File

Documentation

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. For an explanation of the geographic suppression changes that went into effect in

January 2023, please see: Changes to 2023 CPS Public Use Microdata Files (census.gov)

11-2

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

11-3

FIPS Code

Metropolitan (CBSA) TITLE

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

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

11-4

FIPS Code

Metropolitan (CBSA) TITLE

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

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

11-5

FIPS Code

Metropolitan (CBSA) TITLE

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

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

11-6

FIPS Code

Metropolitan (CBSA) TITLE

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

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

11-7

FIPS Code

Metropolitan (CBSA) TITLE

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

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

11-8

FIPS Code

Metropolitan (CBSA) TITLE

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

11-9

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

Code

CBSA

Code

CSA Title

Component Parts (CBSA’s)

104

10580

Albany-Schenectady, NY

Albany-Schenectady-Troy, NY

24020

Glen Falls, NY

106

10740

Albuquerque-Santa Fe-Las Vegas, NM

Albuquerque, NM

42140

Santa Fe, NM

118

11540

Appleton-Oshkosh-Neenah, WI

Appleton, WI

36780

Oshkosh-Neenah, WI

122

12020

Atlanta--Athens-Clarke County—

Sandy Springs, GA

Athens-Clarke County, GA

12060

Atlanta-Sandy Springs-Roswell, GA

23580

Gainesville, GA

148

12700

Boston-Worcester-Providence, MA-RI-NH-CT

Barnstable Town, MA

14460

Boston-Cambridge-Newton-MA-NH

31700

Manchester-Nashua, NH

39300

Providence-Warwick, RI-MA

49340

Worcester, MA-CT

162

15980

Cape Coral-Fort Myers-Naples, FL

Cape Coral, FL

34940

Naples-Immokalee-Marco Island, FL

11-

CSA

Code

CBSA

Code

CSA Title

Component Parts (CBSA’s)

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

11-

CSA

Code

CBSA

Code

CSA Title

Component Parts (CBSA’s)

238

21340

El Paso-Las Cruses, TX-NM

El Paso, TX

29740

Las Cruses, NM

266

24340

Grand Rapids-Wyoming-Muskegon, MI

Grand Rapids-Wyoming, MI

26100

Holland-Grand Haven, MI*

34740

Muskegon-Norton Shores, MI

268

15500

Greensboro--Winston-Salem–High Point, NC

Burlington, NC

24660

Greensboro-High Point, NC

49180

Winston-Salem, NC

273

24860

Greenville-Spartanburg-Anderson, SC

Greenville-Anderson-Mauldin, SC

43900

Spartanburg, SC

276

25420

Harrisburg-York-Lebanon, PA

Harrisburg-Carlisle, PA

49620

York-Hanover, PA

278

25540

Hartford-West Hartford, CT

Hartford-West Hartford-East Hartford, CT

35980

Norwich-New London, CT

304

27740

Johnson City-Kingsport-Bristol, TN-VA (part)

Johnson City, TN

28700

Kingsport-Bristol, TN-VA

310

12980

Kalamazoo-Battle Creek-Portage, MI

Battle Creek, MI

28020

Kalamazoo-Portage, MI

340

30780

Little Rock-North Little Rock, AR

Little Rock-North Little Rock-Conway, AR

38220

Pine Bluff, AR

11-

CSA

Code

CBSA

Code

CSA Title

Component Parts (CBSA’s)

348

Los Angeles-Long Beach-Riverside, CA

31100

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

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

11-

CSA

Code

CBSA

Code

CSA Title

Component Parts (CBSA’s)

428

12100

Philadelphia-Reading-Camden, PA-NJ-DE-MD

Atlantic City-Hammonton, NJ

20100

Dover, DE

37980

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD

39740

Reading, PA

47220

Vineland-Bridgeton, NJ

438

30340

Portland-Lewiston-South Portland, ME

Lewiston-Auburn, ME

38860

Portland-South Portland, ME

440

38900

Portland-Vancouver-Salem, OR-WA

Portland-Vancouver-Hillsboro, OR-WA

41420

Salem, OR

450

20500

Raleigh-Durham-Cary, NC

Durham-Chapel Hill, NC

39580

Raleigh, NC

482

36260

Salt Lake City-Provo-Orem, UT

Ogden-Clearfield, UT

39340

Provo-Orem, UT

41620

Salt Lake City, UT

488

41860

San Jose-San Francisco-Oakland, CA

San Francisco-Oakland-Hayward, CA

41940

San Jose-Sunnyvale-Santa Clara, CA

42100

Santa Cruz-Watsonville, CA

42220

Santa Rosa, CA

44700

Stockton-Lodi, CA

46700

Vallejo-Fairfield, CA

500

34580

Seattle-Tacoma-Olympia, WA

Mount Vernon-Anacortes, WA

42660

Seattle-Tacoma-Bellevue, WA

11-

CSA

Code

CBSA

Code

CSA Title

Component Parts (CBSA’s)

515

South Bend-Elkhart-Mishawaka, IN-MI

21140

Elkhart-Goshen, IN

35660

Niles-Benton Harbor, MI

43780

South Bend-Mishawaka, IN-MI

518

Spokane-Spokane Valley-Coeur d’Alene, WA-ID

17660

Coeur d’Alene, ID

44060

Spokane-Spokane Valley, WA

546

Visalia-Porterville-Hanford, CA

25260

Hanford-Corcoran, CA

47300

Visalia-Porterville, CA

548

Washington-Baltimore-Arlington, DC-MD-VA-WV-PA

12580

Baltimore-Columbia-Towson, MD

15680

California-Lexington Park, MD

16540

Chambersburg-Waynesboro, PA

25180

Hagerstown-Martinsburg, MD-WV

47900

Washington-Arlington-Alexandria, DC-VA-MD-WV

49020

Winchester, VA-WV

11-15

List 3: Individual Principal Cities

Please Note: You must use the CBSA code in combination with the city code to uniquely

identify principal cities. If a county name is provided, you must incorporate the county code

into any algorithm used to tabulate a specific city’s characteristics. The same applies to state

codes for multi-state CBSA’s.

CBSA Title

Code City GTINDVPC

38060 Phoenix-Mesa-Scottsdale, AZ

Phoenix 1

Mesa 2

Scottsdale 3

Tempe 4

Glendale 5

30780 Little Rock-North Little Rock-Conway. AR

Little Rock 1

31080

Los Angeles-Long Beach-Anaheim, CA

Los Angeles County

Los Angeles

1

Long Beach

2

Glendale

3

Pomona

4

Torrance

5

Pasadena

6

Burbank

7

Orange County

Santa Ana

1

Anaheim

2

Irvine

3

Orange

4

Fullerton

5

Costa Mesa

6

11-16

CBSA

Code

Title

City

GTINDVPC

37100 Oxnard-Thousand Oaks-Ventura, CA

Oxnard

1

Thousand Oaks

2

40140 Riverside-San Bernardino-Ontario, CA

Riverside

1

San Bernardino

2

Ontario

3

Temecula

4

Victorville

5

40900

Sacramento–Roseville-Arden-Arcade, CA

Sacramento

1

Roseville

2

41740 San Diego-Carlsbad, CA

San Diego

1

Carlsbad

2

41860 San Francisco-Oakland-Hayward, CA

San Francisco

Alameda County

Oakland

1

Fremont

2

Hayward

3

Berkeley

4

41940 San Jose-Sunnyvale-Santa Clara, CA

San Jose

1

Sunnyvale

2

Santa Clara

3

46700 Vallejo-Fairfield, CA

Vallejo

1

Fairfield

2

11-17

CBSA

Code

Title

City

GTINDVPC

19740 Denver-Aurora-Lakewood, CO

Denver 1

Lakewood 2

14860 Bridgeport-Stamford-Norwalk, CT

Bridgeport 1

Stamford 2

25540 Hartford-West Hartford-East Hartford, CT

Hartford 1

33100 Miami-Fort Lauderdale-West Palm Beach, FL

Broward County

Fort Lauderdale 1

Miami-Dade County

Miami 1

1

36740 Orlando-Kissimmee-Sanford, FL

Orlando 1

37340 Palm Bay-Melbourne-Titusville, FL

Palm Bay 1

45300 Tampa-St. Petersburg-Clearwater, FL

St. Petersburg 1

Tampa 2

12060 Atlanta-Sandy Springs-Roswell, GA

Atlanta 1

16980 Chicago-Naperville-Elgin, IL-IN-WI

Chicago 1

Naperville 2

Joliet

3

Elgin 4

11-18

CBSA

Code

Title

City

GTINDVPC

26900 Indianapolis-Carmel-Anderson. IN

Indianapolis 1

28140 Kansas City, MO-KS

Kansas portion

Kansas City 1

Overland Park 2

Missouri portion

35380

Kansas City

New Orleans-Metairie, LA

1

New Orleans

1

Metairie

2

12580 Baltimore-Columbia-Towson. MD

Baltimore

1

14460

Boston-Cambridge-Newton, MA-NH

Massachusetts portion

Boston

1

Cambridge

2

19820 Detroit-Warren-Dearborn, MI

Wayne County

Detroit

1

Macomb County

Warren 1

33460 Minneapolis-St. Paul-Bloomington, MN-WI

Minneapolis 1

St. Paul 2

29820 Las Vegas-Henderson--Paradise, NV

Las Vegas 1

Paradise 2

Henderson 3

11-19

CBSA

Code

Title

City

GTINDVPC

35620 New York-Newark- Jersey City, NY-NJ-PA

New Jersey portion

Newark

1

Jersey City

2

New York portion

New York

1

15380 Buffalo-Cheektowaga-Niagara Falls, NY

Buffalo 1

16740 Charlotte -Concord-Gastonia, NC-SC

Charlotte 1

38900 Portland-Vancouver-Hillsboro, OR-WA

Portland 1

34980 Nashville-Davidson—Murfreesboro—Franklin, TN

Nashville-Davidson 1

19100 Dallas-Fort Worth-Arlington, TX

Dallas 1

Fort Worth 2

Carrollton 3

Plano 4

Irving 5

Arlington 6

26420 Houston-The Woodlands-Sugar Land, TX

Houston 1

32580 McAllen-Edinburg-Mission, TX

McAllen 1

47260 Virginia Beach-Norfolk-Newport News, VA-NC

Virginia portion

Virginia Beach 1

Norfolk 2

Newport News 3

11-20

CBSA

Code

Title

City

GTINDVPC

47900 Washington-Arlington-Alexandria, DC-VA-MD-WV

Virginia portion only

Arlington 2

42660 Seattle-Tacoma-Bellevue, WA

Seattle 1

Tacoma 2

Bellevue 3

Everett 4

33340 Milwaukee-Waukesha-West Allis, WI

Milwaukee 1

11-21

List 4: FIPS County Codes

Please note that these county codes must be used in conjunction with state codes to

create unique county identifiers as county codes start with 001 in each state. Counties are only

included on this list if the entire county is identified.

FIPS

County

Code

County

Name

State

Alabama

003

Baldwin

081

Lee

097

Mobile

Arizona

013

Maricopa

019

Pima

021

Pinal

025

Yavapai

027

Yuma

California

001

Alameda

007

Butte

019

Fresno

029

Kern

031

Kings

037

Los Angeles

053

Monterey

059

Orange

067

Sacramento

073

San Diego

075

San Francisco

079

San Luis Obispo

081

San Mateo

11-22

FIPS

County

Code

County

Name

State

083

Santa Barbara

087

Santa Cruz

089

Shasta

095

Solano

097

Sonoma

099

Stanislaus

107

Tulare

111

Ventura

Colorado

013

Boulder

031

Denver

059

Jefferson

069

Larimer

123

Weld

Connecticut

001

Fairfield

005

Litchfield*

009

New Haven

011

New London

015

Windham

Delaware

001

Kent

003

New Castle

005

Sussex

District of Columbia

001 District of Columbia

11-23

FIPS

County

Code

County

Name

State

005

Bay

Florida

009

Brevard

011

Broward

019

Clay

021

Collier

033

Escambia

053

Hernando

057

Hillsborough

069

Lake

071

Lee

083

Marion

085

Martin

086

Miami-Dade

095

Orange

099

Palm Beach

101

Pasco

103

Pinellas

105

Polk

109

St. Johns

111

St. Lucie

113

Santa Rosa

Georgia

015

Bartow

045

Carroll

057

Cherokee

063

Clayton

077

Coweta

097

Douglas

113

Fayette

117

Forsythe

135

Gwinnett

139

Hall

151

Henry

223

Paulding

11-24

FIPS

County

Code

County

Name

State

003

Honolulu

Hawaii

097

Lake

Illinois

111

McHenry

119

Madison

163

St. Clair

179

Tazewell

Indiana

019

Clark

039

Elkhart

063

Hendricks

081

Johnson

089

Lake

105

Monroe

141

St. Joseph

157

Tippecanoe

Iowa

103

Johnson

113

Linn

163

Scott

Kansas

091

Johnson

173

Sedgwick

Kentucky

015

Boone

067

Fayette

111

Jefferson

117

Kenton

11-25

FIPS

County

Code

County

Name

State

005

Ascension

Louisiana

033

East Baton Rouge

051

Jefferson

063

Livingston

071

Orleans

073

Ouachita

103

St. Tammany

Maine

001

Androscoggin

005

Cumberland

011

Kennebec*

019

Penobscot

Maryland

003

Anne Arundel

013

Carroll

015

Cecil

017

Charles

025

Harford

031

Montgomery

033

Prince Georges

037

St. Mary’s

510

Baltimore City

11-26

FIPS

County

Code

County

Name

State

001

Barnstable

Massachusetts

005

Bristol

013

Hampden

015

Hampshire

017

Middlesex

023

Plymouth

025

Suffolk

027

Worcester

Michigan

005

Allegan*

021

Berrien

025

Calhoun

049

Genesee

075

Jackson

081

Kent

093

Livingston

099

Macomb

115

Monroe

121

Muskegon

125

Oakland

145

Saginaw

161

Washtenaw

163

Wayne

Minnesota

003

Anoka

123

Ramsey

139

Scott

163

Washington

171

Wright

11-27

FIPS

County

Code

County

Name

State

071

Franklin

Missouri

099

Jefferson

189

St. Louis

Montana

111 Yellowstone

Nebraska

055 Douglas

Nevada

003 Clark

New Hampshire

011

Hillsborough

013

Merrimack*

015

Rockingham

017

Strafford

New Jersey

003

Bergen

005

Burlington

007

Camden

011

Cumberland

013

Essex

017

Hudson

019

Hunterdon

021

Mercer

023

Middlesex

027

Morris

031

Passaic

11-28

FIPS

County

Code

County

Name

State

035

Somerset

037

Sussex

039

Union

New Mexico

001

Bernalillo

013

Dona Ana

045

San Juan

049

Santa Fe

New York

005

Bronx

045

Jefferson

047

Kings

055

Monroe

059

Nassau

061

New York

067

Onondaga

069

Ontario

071

Orange

081

Queens

085

Richmond

087

Rockland

091

Saratoga

103

Suffolk

119

Westchester

North Carolina

001

Alamance

021

Buncombe

057

Davidson

067

Forsyth

119

Mecklenburg

133

Onslow

147

Pitt

11-29

FIPS

County

Code

County

Name

State

155

Robeson*

159

Rowan

179

Union

191

Wayne

Ohio

025

Clermont

057

Greene

085

Lake

089

Licking

095

Lucas

103

Medina

109

Miami

113

Montgomery

133

Portage

153

Summit

Oregon

017

Deschutes

029

Jackson

039

Lane

Pennsylvania

003

Allegheny

007

Beaver

011

Berks

017

Bucks

019

Butler

021

Cambria

029

Chester

043

Dauphin

045

Delaware

049

Erie

055

Franklin

071

Lancaster

11-30

FIPS

County

Code

County

Name

State

081 Lycoming

085 Mercer

089 Monroe

091 Montgomery

101 Philadelphia

107 Schuylkill*

125 Washington

129 Westmoreland

133 York

South Carolina

041 Florence

051 Horry

083 Spartanburg

091 York

Tennessee

009 Blount

093 Knox

125 Montgomery

165 Sumner

189 Wilson

Texas

041 Brazos

061 Cameron

135 Ector

139 Ellis

181 Grayson

183 Gregg

215 Hidalgo

251 Johnson

303 Lubbock

309 McLennan

423 Smith

11-31

FIPS

County

Code

County

Name

State

441

Taylor

479

Webb

485

Wichita

Utah

053 Washington

Virginia

013

Arlington

041

Chesterfield

087

Henrico

107

Loudoun

153

Prince William

177

Spotsylvania

179

Stafford

550

Chesapeake City

700

Newport News City

710

Norfolk City

760

Richmond City

810

Virginia Beach City

Washington

057 Skagit

West Virginia

039 Kanawha

Wisconsin

059 Kenosha

073 Marathon

101 Racine

105 Rock

139 Winnebago

* Counties marked with an asterisk (*) are also single county Micropolitan Statistical Areas.

11-32

They are not otherwise identified on the files. A list of such areas on the files is as follows:

CBSA

Code

Title

County

Name

County

Code

12300

Augusta-Waterville, ME

Kennebec

005

18180

Concord, NH

Merrimack

011

26090

Holland, MI

Allegan

005

31300

Lumberton, NC

Robeson

155

39060

Pottsville, PA

Schuylkill

107

45860

Torrington, CT

Litchfield

005

ATTACHMENT 12

Topcoding of Usual Hourly Earnings

This variable will be topcoded based on an individual’s usual hours worked variable, if the

individual’s edited usual weekly earnings variable is $999. The topcode is computed such that the

product of usual hours times usual hourly wage does not exceed an annualized wage of $150,000

($2,885.00 per week). Below is a list of the appropriate topcode.

Hours

Topcode

Hours

Topcode

Hours

Topcode

1

None

34

$84.85

67

$43.06

2

None

35

$82.43

68

$42.43

3

None

36

$80.14

69

$41.81

4

None

37

$77.97

70

$41.21

5

None

38

$75.92

71

$40.63

6

None

39

$73.97

72

$40.07

7

None

40

$72.13

73

$39.52

8

None

41

$70.37

74

$38.99

9

None

42

$68.69

75

$38.47

10

None

43

$67.09

76

$37.96

11

None

44

$65.57

77

$37.47

12

None

45

$64.11

78

$36.99

13

None

46

$62.72

79

$36.52

14

None

47

$61.38

80

$36.06

15

None

48

$60.10

81

$35.62

16

None

49

$58.88

82

$35.18

17

None

50

$57.70

83

$34.76

18

None

51

$56.57

84

$34.35

19

None

52

$55.48

85

$33.94

20

None

53

$54.43

86

$33.55

21

None

54

$53.43

87

$33.16

22

None

55

$52.45

88

$32.78

23

None

56

$51.52

89

$32.42

24

None

57

$50.61

90

$32.06

25

None

58

$49.74

91

$31.70

26

None

59

$48.90

92

$31.36

27

None

60

$48.08

93

$31.02

28

None

61

$47.30

94

$30.69

29

$99.48

62

$46.53

95

$30.37

30

$96.17

63

$45.79

96

$30.05

31

$93.06

64

$45.08

97

$29.74

32

$90.16

65

$44.38

98

$29.44

33

$87.42

66

$43.71

99

$29.14

12-1

ATTACHMENT 12a

Dynamic Topcoding of Usual

Hourly Earnings

The Census Bureau has introduced a dynamic topcode, implemented monthly, with topcoding

applied to the top 3 percent of hourly earnings reported. This method results in fewer cases

being topcoded compared to the previous method which applied topcoding based on the

individual’s usual hours worked variable. For individuals whose earnings are topcoded, the

earnings variable contains the weighted average of the top 3% and not a cutoff value as has

been done in past years. PTERNHLY, PTERNH1O, PTERNH2, and PTERNH1C are the hourly

reporting variables. Below is an example of this process using fake data.

Hourly Wages

Cumulative Percent

Topcoding (Weighted

Average of Top 3%)

2

0.15

2

2.15

0.26

2.15

3.50

0.90

3.50

.

46.5

96.90

46.5

47

96.93

47

49.5

97.06

64.20

50

97.46

64.20

51

97.55

64.20

.

65

99.40

64.20

68

99.45

64.20

70

99.60

64.20

75

99.75

64.20

85

99.80

64.20

90

100.00

64.20

Furthermore, values not topcoded as above, will be rounded based on the criteria below.

Usual Hourly Earning as Reported

Rounded value on Public Use File

$00.01 - $00.07

$00.05

$00.08 - $29.99

Nearest $00.05

$30.00 - $49.99

Nearest $00.25

$50.00 +

Nearest $00.50 until topcoded

14-1

ATTACHMENT 14

COUNTRIES AND AREAS OF THE WORLD

Current Population Survey

Starting May 2012

Code

057

Name

United States

Code

158

Name

Armenia

060

American Samoa

159

Azerbaijan

066

Guam

160

Belarus

069

Northern Marianas

161

Georgia

073

Puerto Rico

162

Moldova

078

U. S. Virgin Islands

163

Russia

100

Albania

164

Ukraine

102

Austria

165

USSR

103

Belgium

166

Europe, not specified

104

Bulgaria

168

Montenegro

105

Czechoslovakia

200

Afghanistan

106

Denmark

202

Bangladesh

108

Finland

203

Bhutan

109

France

205

Myanmar (Burma)

110

Germany

206

Cambodia

116

Greece

207

China

117

Hungary

209

Hong Kong

118

Iceland

210

India

119

Ireland

211

Indonesia

120

Italy

212

Iran

126

Netherlands

213

Iraq

127

Norway

214

Israel

128

Poland

215

Japan

129

Portugal

216

Jordan

130

Azores

217

Korea

132

Romania

218

Kazakhstan

134

Spain

220

South Korea

136

Sweden

222

Kuwait

137

Switzerland

223

Laos

138

United Kingdom

224

Lebanon

139

England

226

Malaysia

140

Scotland

228

Mongolia

142

Northern Ireland

229

Nepal

147

Yugoslavia

231

Pakistan

148

Czech Republic

233

Philippines

149

Slovakia

235

Saudi Arabia

150

Bosnia & Herzegovina

236

Singapore

151

Croatia

238

Sri Lanka

152

Macedonia

239

Syria

154

Serbia

240

Taiwan

155

Estonia

242

Thailand

156

Latvia

243

Turkey

157

Lithuania

245

United Arab Emirates

14-2

Code Name Code

Name

246

Uzbekistan

373

Venezuela

247

Vietnam

374

South America, not specified

248

Yemen

399

Americas, not specified

249

Asia, not specified

400

Algeria

300

Bermuda

407

Cameroon

301

Canada

408

Cape Verde

303

Mexico

412

Congo

310

Belize

414

Egypt

311

Costa Rica

416

Ethiopia

312

El Salvador

417

Eritrea

313

Guatemala

421

Ghana

314

Honduras

423

Guinea

315

Nicaragua

425

Ivory Coast

316

Panama

427

Kenya

321

Antigua and Barbuda

429

Liberia

323

Bahamas

430

Libya

324

Barbados

436

Morocco

327

Cuba

440

Nigeria

328

Dominica

444

Senegal

329

Dominican Republic

447

Sierra Leone

330

Grenada

448

Somalia

332

Haiti

449

South Africa

333

Jamaica

451

Sudan

338

St. Kitts--Nevis

453

Tanzania

339

St. Lucia

454

Togo

340

St. Vincent and the Grenadines

457

Uganda

341

Trinidad and Tobago

459

Zaire

343

West Indies, not specified

460

Zambia

360

Argentina

461

Zimbabwe

361

Bolivia

462

Africa, not specified

362

Brazil

501

Australia

363

Chile

508

Fiji

364

Columbia

511

Marshall Islands

365

Ecuador

512

Micronesia

368

Guyana

515

New Zealand

369

Paraguay

523

Tonga

370

Peru

527

Samoa

372

Uruguay

555

Elsewhere

ATTACHMENT 15

ALLOCATION FLAGS

Current Population Survey

For every edited item, there is a corresponding allocation flag with the prefix "PX". The last six

characters of the names are the same. For example, PXMLR is the allocation flag for PEMLR.

All allocation flags have the following list of possible values.

00 VALUE - NO CHANGE

01 BLANK - NO CHANGE

02 DON'T KNOW - NO CHANGE

03 REFUSED - NO CHANGE

10 VALUE TO VALUE

11 BLANK TO VALUE

12 DON'T KNOW TO VALUE

13 REFUSED TO VALUE

20 VALUE TO LONGITUDINAL VALUE

21 BLANK TO LONGITUDINAL VALUE

22 DON'T KNOW TO LONGITUDINAL VALUE

23 REFUSED TO LONGITUDINAL VALUE

30 VALUE TO ALLOCATED VALUE LONG.

31 BLANK TO ALLOCATED VALUE LONG.

32 DON'T KNOW TO ALLOCATED VALUE LONG.

33 REFUSED TO ALLOCATED VALUE LONG.

40 VALUE TO ALLOCATED VALUE

41 BLANK TO ALLOCATED VALUE

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

15-1

DRB Clearance Number - CBDRB-FY24-0274

Attachment 16

Source of the Data and Accuracy of the Estimates for the

November 2023 Current Population Survey Microdata File on Computer and

Internet Use

Table of Contents

SOURCE OF THE DATA .......................................................................................................................... 1

Basic CPS ........................................................................................................................................................ 1

November 2023 Supplement ................................................................................................................ 2

Estimation Procedure .............................................................................................................................. 2

ACCURACY OF THE ESTIMATES ......................................................................................................... 3

Sampling Error ............................................................................................................................................ 3

Nonsampling Error ................................................................................................................................... 3

Nonresponse ................................................................................................................................................ 4

Undercoverage ............................................................................................................................................ 4

Comparability of Data .............................................................................................................................. 5

A Nonsampling Error Warning ............................................................................................................ 6

Standard Errors and Their Use ............................................................................................................ 7

Estimating Standard Errors .................................................................................................................. 7

Generalized Variance Parameters ...................................................................................................... 8

Standard Errors of Estimated Numbers .......................................................................................... 9

Standard Errors of Estimated Percentages .................................................................................. 10

Standard Errors of Estimated Differences .................................................................................... 11

Accuracy of State Estimates ................................................................................................................ 12

Standard Errors of State Estimates .................................................................................................. 12

Standard Errors of Regional Estimates .......................................................................................... 13

Standard Errors of Groups of States ................................................................................................ 14

Standard Errors of Quarterly or Yearly Averages ..................................................................... 15

Technical Assistance............................................................................................................................... 15

REFERENCES .......................................................................................................................................... 19

Tables

Table 1. Current Population Survey Coverage Ratios: November 2023 .......................................... 5

Table 2. Estimation Groups of Interest and Generalized Variance Parameters ........................... 9

Table 3. Illustration of Standard Errors of Estimated Numbers ........................................................ 10

Table 4. Illustration of Standard Errors of Estimated Percentages .................................................. 11

Table 5. Illustration of Standard Errors of Estimated Differences.................................................... 12

Table 6. Illustration of Standard Errors of State Estimates ................................................................. 13

Table 7. Illustration of Standard Errors of Regional Estimates .......................................................... 14

Table 8. Parameters for Computation of Standard Errors for Computer and Internet Use

Characteristics: November 2023 ................................................................................................. 16

Table 9. Factors and Populations for State Standard Errors and Parameters: November

2023 ........................................................................................................................................................... 17

Table 10. Factors and Populations for Regional Standard Errors and Parameters:

November 2023 ................................................................................................................................. 18

DRB Clearance Number - CBDRB-FY24-0274

Source of the Data and Accuracy of the Estimates for the

November 2023 Current Population Survey Microdata File on Computer

and Internet Use

SOURCE OF THE DATA

The data in this microdata file are from the November 2023 Current Population Survey

(CPS). The U.S. Census Bureau conducts the CPS every month, although this file has only

November data. The November survey uses two sets of questions, the basic CPS and a set of

supplemental questions. The CPS, sponsored jointly by the Census Bureau and the U.S.

Bureau of Labor Statistics, is the country’s primary source of labor force statistics for the

civilian noninstitutionalized population. The National Telecommunications and

Information Administration sponsors the supplemental questions for November.

Basic CPS. The monthly CPS collects primarily labor force data about the civilian

noninstitutionalized population living in the United States. The institutionalized

population, which is excluded from the universe, consists primarily of the population in

correctional institutions and nursing homes (98 percent of the 4.0 million institutionalized

people in the 2010 Census). Starting in August 2017, college and university dormitories

were also excluded from the universe because most of the residents had usual residences

elsewhere. Interviewers ask questions concerning labor force participation of each

member 15 years old and older in sample households. Typically, the week containing the

nineteenth of the month is the interview week. The week containing the twelfth is the

reference week (i.e., the week about which the labor force questions are asked).

The CPS uses a multistage probability sample based on the results of the decennial census,

with coverage in all 50 states and the District of Columbia. The sample is continually

updated to account for new residential construction. When files from the most recent

decennial census become available, the Census Bureau gradually introduces a new sample

design for the CPS.

Every ten years, the CPS first-stage sample is redesigned0F

1

reflecting changes based on the

most recent decennial census. In the first stage of the sampling process, primary sampling

units (PSUs)1F

2

were selected for sample. In the 2010 sample design, the United States was

divided into 1,987 PSUs. These PSUs were then grouped into 852 strata. Within each

stratum, a single PSU was chosen for the sample, with its probability of selection

proportional to its population as of the most recent decennial census. In the case of strata

consisting of only one PSU, the PSU was chosen with certainty.

1

For detailed information on the 2010 sample redesign, please reference Bureau of Labor Statistics

(2014).

2

The PSUs correspond to substate areas (i.e., counties or groups of counties) that are geographically

contiguous.

2

DRB Clearance Number - CBDRB-FY24-0274

Approximately 69,500 sampled addresses were selected from the sampling frame in

November. Based on eligibility criteria, seven percent of these sampled addresses were

sent directly to computer-assisted telephone interviewing (CATI). The remaining sampled

addresses were assigned to interviewers for computer-assisted personal interviewing

(CAPI).2F

3

Of all addresses in sample, about 60,000 were determined to be eligible for

interview. Interviewers obtained interviews at about 42,000 of the housing units at these

addresses. Noninterviews occur when the occupants are not found at home after repeated

calls or are unavailable for some other reason.3F

4

November 2023 Supplement. In November 2023, in addition to the basic CPS questions,

interviewers asked supplementary questions of the noninstitutionalized population three

years old and older on computer and internet use.

Estimation Procedure. This survey’s estimation procedure adjusts weighted sample

results to agree with independently derived population controls of the civilian

noninstitutionalized population of the United States, each state, and the District of

Columbia. These population controls4F

5

are prepared monthly as part of the Census Bureau’s

Population Estimates Program.

The population controls for the nation are distributed by demographic characteristics in

two ways:

• Age, sex, and race (White alone, Black alone, and all other groups combined).

• Age, sex, and Hispanic origin.

The population controls for the states are distributed by:

• Race (Black alone and all other race groups combined).

• Age (0-15, 16-44, and 45 and over).

• Sex.

The independent estimates by age, sex, race, and Hispanic origin, and for states by selected

age groups and broad race categories, are developed using the basic demographic

accounting formula whereby the population from the 2020 Census data5F

6

is updated using

3

For further information on CATI and CAPI and the eligibility criteria, please reference U.S. Census Bureau

(2019).

4

Counts and estimates throughout this source and accuracy statement are rounded according to

Disclosure Review Board rounding rules.

5

For additional information on population controls, including details on the demographic characteristics

used and net international components, please refer to Chapters 1-3 and Appendix: History of the

Current Population Survey of U.S. Census Bureau (2019).

6

In recent decades, the decennial census has usually provided all the data necessary to produce the

population base used in the population controls. However, changes in disclosure avoidance practices and

delays in the 2020 Census necessitated changes to the data sources that produce the base population for

the Vintage 2021 population estimates. The updated population controls use a Blended Base that draws

on the 2020 Census, 2020 Demographic Analysis Estimates, and Vintage 2020 Postcensal Population

Estimates. More information on this methodology can be found at U.S. Census Bureau (2021).

3

DRB Clearance Number - CBDRB-FY24-0274

data on the components of population change (births, deaths, and net international

migration) with net internal migration as an additional component in the state population

controls.

The net international migration component of the population controls includes:

• Net international migration of the foreign born;

• Net migration between the United States and Puerto Rico;

• Net migration of natives to and from the United States; and

• Net movement of the Armed Forces population to and from the United States.

Because the latest available information on these components lags behind the survey date,

it is necessary to make short-term projections of these components to develop the estimate

for the survey date.

ACCURACY OF THE ESTIMATES

A sample survey estimate has two types of error: sampling and nonsampling. The accuracy

of an estimate depends on both types of error. The nature of the sampling error is known

given the survey design; the full extent of the nonsampling error is unknown.

Sampling Error. Since the CPS estimates come from a sample, they may differ from figures

from an enumeration of the entire population using the same questionnaires, instructions,

and enumerators. For a given estimator, the difference between an estimate based on a

sample and the estimate that would result if the sample were to include the entire

population is known as sampling error. Standard errors, as calculated by methods

described in “Standard Errors and Their Use,” are primarily measures of the magnitude of

sampling error. However, the estimation of standard errors may include some nonsampling

error.

Nonsampling Error. For a given estimator, the difference between the estimate that would

result if the sample were to include the entire population and the true population value

being estimated is known as nonsampling error. There are several sources of nonsampling

error that may occur during the development or execution of the survey. It can occur

because of circumstances created by the interviewer, the respondent, the survey

instrument, or the way the data are collected and processed. Some nonsampling errors, and

examples of each, include:

• Measurement error: The interviewer records the wrong answer, the respondent

provides incorrect information, the respondent estimates the requested

information, or an unclear survey question is misunderstood by the respondent.

• Coverage error: Some individuals who should have been included in the survey

frame were missed.

• Nonresponse error: Responses are not collected from all those in the sample or

the respondent is unwilling to provide information.

• Imputation error: Values are estimated imprecisely for missing data.

4

DRB Clearance Number - CBDRB-FY24-0274

• Processing error: Forms may be lost, data may be incorrectly keyed, coded, or

recoded, etc.

To minimize these errors, the Census Bureau applies quality control procedures during all

stages of the production process including the design of the survey, the wording of

questions, the review of the work of interviewers and coders, and the statistical review of

reports.

Two types of nonsampling error that can be examined to a limited extent are nonresponse

and undercoverage.

Nonresponse. The effect of nonresponse cannot be measured directly, but one indication

of its potential effect is the nonresponse rate. For the November 2023 basic CPS, the

household-level unweighted nonresponse rate was 29.9 percent. The person-level

unweighted nonresponse rate for the Computer and Internet Use supplement was an

additional 23.4 percent.

Since the basic CPS nonresponse rate is a household-level rate and the Computer and

Internet Use supplement nonresponse rate is a person-level rate, we cannot combine these

rates to derive an overall nonresponse rate. Nonresponding households may have more or

fewer persons than interviewed ones, so combining these rates may lead to an under- or

overestimate of the true overall nonresponse rate for persons for the Computer and

Internet Use supplement.

Responses are made up of complete interviews and sufficient partial interviews. A

sufficient partial interview is an incomplete interview in which the household or person

answered enough of the questionnaire for the supplement sponsor to consider the

interview complete. The remaining supplement questions may have been edited or

imputed to fill in missing values. Insufficient partial interviews are considered to be

nonrespondents. Refer to the supplement overview attachment in the technical

documentation for the specific questions deemed critical by the sponsor as necessary to

answer in order to be considered a sufficient partial interview.

As a result of sufficient partial interviews being considered responses, individual

items/questions have their own response and refusal rates. As part of the nonsampling

error analysis, the item response rates, item refusal rates, and edits are reviewed. For the

Computer and Internet Use supplement, the unweighted item refusal rates range from 0.0

percent to 23.1 percent. This survey is fully allocated, and the unweighted item allocation

rates range from 2.3 percent to 77.7 percent.

Undercoverage. The concept of coverage with a survey sampling process is defined as the

extent to which the total population that could be selected for sample “covers” the survey’s

target population. Missed housing units and missed people within sample households

create undercoverage in the CPS. Overall CPS undercoverage for November 2023 is

estimated to be about nine percent. CPS coverage varies with age, sex, and race. Generally,

5

DRB Clearance Number - CBDRB-FY24-0274

coverage is higher for females than for males and higher for non-Blacks than for Blacks.

This differential coverage is a general problem for most household-based surveys.

The CPS weighting procedure mitigates bias from undercoverage, but biases may still be

present when people who are missed by the survey differ from those interviewed in ways

other than age, race, sex, Hispanic origin, and state of residence. How this weighting

procedure affects other variables in the survey is not precisely known. All of these

considerations affect comparisons across different surveys or data sources.

A common measure of survey coverage is the coverage ratio, calculated as the estimated

population before poststratification divided by the independent population control. Table 1

shows November 2023 CPS coverage ratios by age and sex for certain race and Hispanic

groups. The CPS coverage ratios can exhibit some variability from month to month.

Table 1. Current Population Survey Coverage Ratios: November 2023

Total White alone Black alone Residual race

A

Hispanic

B

Age

group

All

people

Male Female

0-15

0.85

0.86

0.90

0.92

0.66

0.65

0.82

0.84

0.82

16-19

0.85

0.84

0.85

0.88

0.89

0.64

0.74

0.81

0.78

0.84

0.87

20-24

0.75

0.78

0.73

0.81

0.77

0.65

0.57

0.74

0.65

0.88

0.76

25-34

0.84

0.83

0.86

0.88

0.91

0.62

0.67

0.81

0.82

0.85

0.93

35-44

0.89

0.87

0.91

0.95

0.64

0.75

0.85

0.88

0.83

0.90

45-54

0.92

0.89

0.96

0.90

0.99

0.78

0.85

0.90

0.91

0.84

1.01

55-64

0.94

0.90

0.97

0.92

0.99

0.79

0.86

0.92

0.95

0.85

0.95

65+

1.07

1.06

1.08

1.07

1.10

1.06

1.04

0.89

0.90

0.94

0.95

15+

0.92

0.90

0.94

0.93

0.98

0.74

0.80

0.85

0.86

0.85

0.92

0+

0.91

0.89

0.93

0.97

0.72

0.77

0.84

0.85

0.89

Source: U.S. Census Bureau, Current Population Survey, November 2023.

A

The Residual race group includes cases indicating a single race other than White or Black, and cases

indicating two or more races.

B

Hispanics may be any race.

Note: For a more detailed discussion on the use of parameters for race and ethnicity, please refer to the

“Generalized Variance Parameters” section.

Comparability of Data. Data obtained from the CPS and other sources are not entirely

comparable. This is due to differences in interviewer training and experience and in

differing survey processes.6F

7

These differences are examples of nonsampling variability not

reflected in the standard errors. Therefore, caution should be used when comparing results

from different sources.

Data users should be careful when comparing the data from this microdata file, which

reflects 2020 Census-based controls7F

8

, with microdata files which reflect 2010 Census-

7

Survey processes include, but are not limited to, question wording, universe, sampling frame, interview

modes, and weighting.

8

Refer to Footnote 6.

6

DRB Clearance Number - CBDRB-FY24-0274

based controls. Ideally, the same population controls should be used when comparing any

estimates. In reality, the use of the same population controls is not practical when

comparing trend data over a period of 10 to 20 years. Thus, when it is necessary to

combine or compare data based on different controls or different designs, data users

should be aware that changes in weighting controls or weighting procedures can create

small differences between estimates. The discussion following includes information on

comparing estimates derived from different populations or different sample designs.

Microdata files from previous years reflect the latest available census-based controls.

Although the most recent change in population controls had relatively little impact on

summary measures such as averages, medians, and percentage distributions, it did have a

significant impact on levels. For example, use of 2020 Census-based controls results in

about a 0.7 percent increase from the 2010 Census-based controls in the civilian

noninstitutionalized population. Thus, estimates of levels for data collected in 2012 and

later years will differ from those for earlier years by more than what could be attributed to

actual changes in the population. These differences could be disproportionately greater for

certain population subgroups than for the total population.

Users should also exercise caution because of changes caused by the phase-in of the 2010

Census files (refer to “Basic CPS”).8F

9

During this time period, CPS data were collected from

sample designs based on different censuses. Two features of the new CPS design have the

potential of affecting estimates: (1) the temporary disruption of the rotation pattern from

August 2014 through June 2015 for a comparatively small portion of the sample and (2)

the change in sample areas. Most of the known effect on estimates during and after the

sample redesign will be the result of changing from 2000 to 2010 geographic definitions.

Research has shown that the national-level estimates of the metropolitan and

nonmetropolitan populations should not change appreciably because of the new sample

design. However, users should still exercise caution when comparing metropolitan and

nonmetropolitan estimates across years with a design change, especially at the state level.

Caution should also be used when comparing Hispanic estimates over time. No

independent population control totals for people of Hispanic origin were used before 1985.

A Nonsampling Error Warning. Since the full extent of the nonsampling error is

unknown, one should be particularly careful when interpreting results based on small

differences between estimates. The Census Bureau recommends that data users

incorporate information about nonsampling errors into their analyses, as nonsampling

error could impact the conclusions drawn from the results. Caution should also be used

when interpreting results based on a relatively small number of cases. Summary measures

(such as medians and percentage distributions) probably do not reveal useful information

when computed on a subpopulation smaller than 75,000.

For additional information on nonsampling error, including the possible impact on CPS

data, when known, refer to U.S. Census Bureau (2019) and Brooks & Bailar (1978).

9

The phase-in process using the 2010 Census files began April 2014.

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Standard Errors and Their Use. A sample estimate and its standard error enable one to

construct a confidence interval. A confidence interval is a range about a given estimate that

has a specified probability of containing the average result of all possible samples. For

example, if all possible samples were surveyed under essentially the same general

conditions and using the same sample design, and if an estimate and its standard error

were calculated from each sample, then approximately 90 percent of the intervals from

1.645 standard errors below the estimate to 1.645 standard errors above the estimate

would include the average result of all possible samples.

A particular confidence interval may or may not contain the average estimate derived from

all possible samples, but one can say with the specified confidence that the interval

includes the average estimate calculated from all possible samples.

Standard errors may also be used to perform hypothesis testing, a procedure for

distinguishing between population parameters using sample estimates. The most common

type of hypothesis is that the population parameters are different. An example of this

would be comparing the percentage of men who were part-time workers to the percentage

of women who were part-time workers.

Tests may be performed at various levels of significance. A significance level is the

probability of concluding that the characteristics are different when, in fact, they are the

same. For example, to conclude that two characteristics are different at the 0.10 level of

significance, the absolute value of the estimated difference between characteristics must be

greater than or equal to 1.645 times the standard error of the difference.

The Census Bureau uses 90-percent confidence intervals and 0.10 levels of significance to

determine statistical validity. Consult standard statistical textbooks for alternative criteria.

Estimating Standard Errors. The Census Bureau uses replication methods to estimate the

standard errors of CPS and Computer and Internet Use estimates. These methods primarily

measure the magnitude of sampling error. However, they do measure some effects of

nonsampling error as well. They do not measure systematic biases in the data associated

with nonsampling error. Bias is the average over all possible samples of the differences

between the sample estimates and the true value.

There are two ways to calculate standard errors for the CPS microdata file on Computer

and Internet Use.

1. Direct estimates created from replicate weighting methods;

2. Generalized variance estimates created from generalized variance function

(GVF) parameters a and b.

While replicate weighting methods provide the most accurate variance estimates, this

approach requires more computing resources and more expertise on the part of the user.

The GVF parameters provide a method of balancing accuracy with resource usage as well

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as a smoothing effect on standard error estimates. More information on calculating direct

estimates is available at U.S. Census Bureau (2012) and/or U.S. Census Bureau (2018). For

more information on GVF estimates, refer to the “Generalized Variance Parameters”

section.

Generalized Variance Parameters. While it is possible to estimate the standard error

based on the survey data for each estimate in a report, there are a number of reasons why

this is not done. A presentation of the individual standard errors would be of limited use,

since one could not possibly predict all of the combinations of results that may be of

interest to data users. Additionally, data users have access to CPS microdata files, and it is

impossible to compute in advance the standard error for every estimate one might obtain

from those data sets. Moreover, variance estimates are based on sample data and have

variances of their own. Therefore, some methods of stabilizing these estimates of variance,

for example, by generalizing or averaging over time, may be used to improve their

reliability.

Experience has shown that certain groups of estimates have similar relationships between

their variances and expected values. Modeling or generalizing may provide more stable

variance estimates by taking advantage of these similarities. The GVF is a simple model that

expresses the variance as a function of the expected value of the survey estimate. The

parameters of the GVF are estimated using direct replicate variances. These GVF

parameters provide a relatively easy method to obtain approximate standard errors for

numerous characteristics.

In this source and accuracy statement:

• Tables 3 through 7 provide illustrations for calculating standard errors;

• Table 8 provides GVF parameters for characteristics from the November 2023

supplement; and

• Tables 9 through 10 provide factors and population controls to derive U.S. state

and regional parameters.

The basic CPS questionnaire records the race and ethnicity of each respondent. With

respect to race, a respondent can be White, Black, Asian, American Indian and Alaskan

Native (AIAN), Native Hawaiian and Other Pacific Islander (NHOPI), or combinations of two

or more of the preceding. A respondent’s ethnicity can be Hispanic or non-Hispanic,

regardless of race.

The GVF parameters to use in computing standard errors are dependent upon the

race/ethnicity group of interest. Table 2 summarizes the relationship between the

race/ethnicity group of interest and the GVF parameters to use in standard error

calculations.

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Table 2. Estimation Groups of Interest and Generalized Variance Parameters

Race/ethnicity group of interest

Generalized variance parameters to

use in standard error calculations

Total population

Total

White alone, White alone or in combination (AOIC), or

White non-Hispanic population

White

Black alone, Black AOIC, or Black non-Hispanic population

Black

Asian alone, Asian AOIC, or Asian non-Hispanic population

Asian, American Indian and Alaska

Native (AIAN), Native Hawaiian and

Other Pacific Islander (NHOPI)

AIAN alone, AIAN AOIC, or AIAN

non-Hispanic population

Asian, AIAN, NHOPI

NHOPI

alone, NHOPI AOIC, or NHOPI non-Hispanic

population

Asian, AIAN, NHOPI

Populations from other race groups

Asian, AIAN, NHOPI

Hispanic

A

population

Hispanic

A

Two or more races

B

– employment/unemployment and

educational attainment characteristics

Black

Two or more races

B

– all other characteristics

Asian, AIAN, NHOPI

Source: U.S. Census Bureau, Current Population Survey, Computer and Internet Use, internal data files.

A

Hispanics may be any race.

B

Two or more races refers to the group of cases self-classified as having two or more races.

When calculating standard errors for an estimate of interest from cross-tabulations

involving different characteristics, use the set of GVF parameters for the characteristic that

will give the largest standard error. If the estimate of interest is strictly from basic CPS

data, information and parameters for calculations can be found under “Reliability of

estimates from the CPS” at Bureau of Labor Statistics (2022). If the estimate is using

Computer and Internet Use supplement data, the GVF parameters will come from the

Computer and Internet Use supplement GVF table (Table 8).

Standard Errors of Estimated Numbers. The approximate standard error, 



, of an

estimated number from this microdata file can be obtained by using the formula:





=







+  (1)

Here x is the size of the estimate, and a and b are the parameters in Table 8 associated with

the particular type of characteristic.

Illustration 1

Suppose there were 132,727,000 households in the U.S. Table 3 shows how to use the

appropriate parameters from Table 8 and Formula (1) to estimate the standard error and

confidence interval.

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Table 3. Illustration of Standard Errors of Estimated Numbers

Number of households in the United States (x)

132,727,000

a-parameter (a)

-0.000016

b-parameter (b)

3,583

Standard error

440,000

90-percent confidence interval

132,003,000 to

133,451,000

Source: U.S. Census Bureau, Current Population Survey, Computer and Internet Use, November 2023.

The standard error is calculated as





=



0.000016 × 132,727,000



+ 3,583 × 132,727,000,

which, rounded to the nearest thousand, is 440,000. The 90-percent confidence interval is

calculated as 132,727,000 ± 1.645 × 440,000.

A conclusion that the average estimate derived from all possible samples lies within a

range computed in this way would be correct for roughly 90 percent of all possible

samples.

Standard Errors of Estimated Percentages. The reliability of an estimated percentage,

computed using sample data for both numerator and denominator, depends on both the

size of the percentage and its base. Estimated percentages are relatively more reliable than

the corresponding estimates of the numerators of the percentages, particularly if the

percentages are 50 percent or more. When the numerator and denominator of the

percentage are in different categories, use the parameter from Table 8 as indicated by the

numerator.

The approximate standard error, 

,

, of an estimated percentage can be obtained by using

the formula:



,

=







(100 ) (2)

Here y is the total number of people, families, households, or unrelated individuals in the

base or denominator of the percentage, p is the percentage 100*x/y (0 ≤ p ≤ 100), and b is

the parameter in Table 8 associated with the characteristic in the numerator of the

percentage.

Illustration 2

Suppose there were 132,727,000 households in the U.S., and 84.8 percent had an internet

connection in their home. Table 4 shows how to use the appropriate parameters from

Table 8 and Formula (2) to estimate the standard error and confidence interval.

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Table 4. Illustration of Standard Errors of Estimated Percentages

Percentage of households with an internet connection (p)

84.8

Base (y)

132,727,000

b-parameter (b)

3,583

Standard error

0.19

90-percent confidence interval

84.5 to 85.1

Source: U.S. Census Bureau, Current Population Survey, Computer and Internet Use, November 2023

The standard error is calculated as



,

=



3,583

132,727,000

× 84.8 × (100.0 84.8) = 0.19

and the 90-percent confidence interval for the estimated percentage of households with an

internet connection in the home is from 84.5 to 85.1 percent (i.e., 84.8 ± 1.645 × 0.19).

Standard Errors of Estimated Differences. The standard error of the difference between

two sample estimates is approximately equal to



|









|

=













+ 









(3)

where 





and 





are the standard errors of the estimates, 



and 



. The estimates can be

numbers, percentages, ratios, etc. This will result in accurate estimates of the standard

error of the same characteristic in two different areas or for the difference between

separate and uncorrelated characteristics in the same area. However, if there is a high

positive (negative) correlation between the two characteristics, the formula will

overestimate (underestimate) the true standard error.

Illustration 3

Suppose that of the 48,804,000 households in the U.S. with family income less than

$50,000, 77.0 percent have an internet connection at home, and of the 83,923,000

households in the U.S. with family income of $50,000 or greater, 89.4 percent have an

internet connection at home. Table 5 shows how to use the appropriate parameters from

Table 8 and Formulas (2) and (3) to estimate the standard error and confidence interval.

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Table 5. Illustration of Standard Errors of Estimated Differences

Income <

$50,000 (x

1

)

Income ≥

$50,000 (x

2

)

Difference

Percentage of households with

internet connection (p)

77.0 89.4 12.4

Base (y)

48,804,000

83,923,000

-

b-parameter (b)

3,583

-

Standard error

0.36

0.20

0.41

90-percent confidence interval

76.4 to 77.6

89.1 to 89.7

11.7 to 13.1

Source: U.S. Census Bureau, Current Population Survey, Computer and Internet Use, November 2023.

The standard error of the difference is calculated as



|









|

=



0.36



+ 0.20



= 0.41

and the 90-percent confidence interval around the difference is calculated as 12.4 ± 1.645 ×

0.41. Since this interval does not include zero, we can conclude with 90-percent confidence

that the percentage of households with family income less than $50,000 with an internet

connection is less than the percentage of households with family income greater than or

equal to $50,000 with an internet connection.

Accuracy of State Estimates. The redesign of the CPS following the 1980 census provided

an opportunity to increase efficiency and accuracy of state data. All strata are now defined

within state boundaries. The sample is allocated among the states to produce state and

national estimates with the required accuracy while keeping total sample size to a

minimum. Improved accuracy of state data was achieved with about the same sample size

as in the 1970 design.

Since the CPS is designed to produce both state and national estimates, the proportion of

the total population sampled and the sampling rates differ among the states. In general, the

smaller the population of the state, the larger the sampling proportion. For example, in

Vermont, approximately 1 in every 250 households is selected each month. In New York,

the sample is about 1 in every 2,000 households. Nevertheless, the size of the sample in

New York is four times larger than in Vermont because New York has a larger population.

Standard Errors of State Estimates. The standard error for a state may be obtained by

determining new state-level a- and b-parameters and then using these adjusted parameters

in the standard error formulas mentioned previously. To determine a new state-level b-

parameter (b

state

), multiply the b-parameter from Table 8 by the state factor from Table 9.

To determine a new state-level a-parameter (a

state

), use the following:

(1) If the a-parameter from Table 8 is positive, multiply it by the state factor

from Table 9.

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(2) If the a-parameter in Table 8 is negative, calculate the new state-level a-

parameter as follows:





=









(4)

where POP

state

is the state population found in Table 9.

Illustration 4

Suppose there were 11,857,000 of 13,963,000 households in California, or 84.9 percent,

with an internet connection in the home. Table 6 shows how to use Formulas (2) and (4)

and the appropriate parameter and factor from Tables 8 and 9 to estimate the standard

error and confidence interval.

Table 6. Illustration of Standard Errors of State Estimated Percentages

Percentage of households in California with an internet

connection (p)

84.9

Base – total households in California (y)

13,963,000

b-parameter (b)

3,583

California state factor

1.16

State b-parameter (b

state

)

4,156

Standard error

90-percent confidence interval

0.62

83.9 to 85.9

Source: U.S. Census Bureau, Current Population Survey, Computer and Internet Use, November 2023.

Obtain the state-level b-parameter by multiplying the b-parameter, 3,583, by the California

state factor, 1.16. This gives b

state

= 3,583 × 1.16 = 4,156.

The standard error of the estimated percentage of households in California with an internet

connection can then be found by using Formula (2) and the new state-level b-parameter,

4,156. The standard error is given by



,

=



4,156

13,963,000

× 84.9 ×

(

100 84.9

)

= 0.62

and the 90-percent confidence interval of the percentage of households in California with

an internet connection is calculated as 84.9 ± 1.645 × 0.62.

Standard Errors of Regional Estimates. To compute standard errors for regional

estimates, follow the steps for computing standard errors for state estimates found in

“Standard Errors for State Estimates” using the regional factors and populations found in

Table 10.

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Illustration 5

Suppose there were 6,521,000 households in the South where no one used the internet.

Table 7 shows how to use Formulas (1) and (4) and the appropriate parameter, factor, and

population from Tables 8 and 10 to estimate the standard error and confidence interval.

Table 7. Illustration of Standard Errors of Regional Estimates

Number of households in the South with no internet use (x)

6,521,000

b-parameter (b)

3,583

South regional factor

1.11

Regional population

128,736,811

Regional b-parameter (b

region

)

3,977

Regional a-parameter (a

region

)

-0.000031

Standard error

157,000

90-percent confidence interval

6,263,000 to 6,779,000

Source: U.S. Census Bureau, Current Population Survey, Computer and Internet Use, November 2023.

Obtain the region-level b-parameter by multiplying the b-parameter, 3,583, by the South

regional factor, 1.11. This gives b

region

= 3,583 × 1.11 = 3,977. Obtain the needed region-

level a-parameter by





=

3,977

128,736,811

= 0.000031

The standard error of the estimate of the number of households in the South with no one

using the internet can be found by using Formula (1) and the new region-level a- and b-

parameters, -0.000031 and 3,977, respectively. The standard error is given by





=



0.000031 × 6,521,000



+ 3,977 × 6,521,000 = 157,000

and the 90-percent confidence interval of the number of households in the South without

internet use is calculated as 6,521,000 ± 1.645 × 157,000.

Standard Errors of Groups of States. The standard error calculation for a group of states

is similar to the standard error calculation for a single state. First, calculate a new state

group factor for the group of states. Then, determine new state group a- and b-parameters.

Finally, use these adjusted parameters in the standard error formulas mentioned

previously.

Use the following formula to determine a new state group factor:

  =











× 













(5)

where POP

i

and state factor

i

are the population and factor for state i from Table 9. To

obtain a new state group b-parameter (b

state group

), multiply the b-parameter from Table 8

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by the state factor obtained by Formula (5). To determine a new state group a-parameter

(a

state group

), use the following:

(1) If the a-parameter from Table 8 is positive, multiply it by the state group

factor determined by Formula (5).

(2) If the a-parameter in Table 8 is negative, calculate the new state group a-

parameter as follows:





=















(6)

Illustration 6

Suppose the state group factor for the state group Illinois-Indiana-Michigan was required.

The appropriate factor would be

  =

12,314,128 × 1.16 + 6,786,103 × 1.14 + 9,934,351 × 1.15

12,314,128 + 6,786,103 + 9,934,351

= 1.15

Standard Errors of Quarterly or Yearly Averages. For information on calculating

standard errors for labor force data from the CPS which involve quarterly or yearly

averages, please reference Bureau of Labor Statistics (2006).

Technical Assistance. If you require assistance or additional information, please contact

the Demographic Statistical Methods Division via e-mail at

[email protected].

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Table 8. Parameters for Computation of Standard Errors for Computer and Internet Use

Characteristics: November 2023

Characteristics

Total White Black

Asian, AIAN,

NHOPI

Hispanic

a

b

a

b

a

b

a

B

a

b

PEOPLE

All People

-0.000015

4,775

-0.000016

3,954

-0.000142

6,184

-0.000165

5,959

-0.000073

4,723

Internet Use at Home

-0.000016

5,258

-0.000018

4,455

-0.000142

6,184

-0.000165

5,959

-0.000088

5,675

HOUSEHOLDS

All Households

-0.000016

3,583

-0.000025

3,323

-0.000130

4,421

-0.000162

3,729

-0.000119

3,742

Internet Use at Home

-0.000016

3,583

-0.000025

3,323

-0.000130

4,421

-0.000162

3,729

-0.000125

3,912

Source: U.S. Census Bureau, Current Population Survey, Computer and Internet Use, November 2023.

A

AIAN is American Indian and Alaska Native, and NHOPI is Native Hawaiian and Other Pacific Islander.

B

Hispanics may be any race.

Notes: These parameters are to be applied to the Computer and Internet Use data. The White, Black, and Asian, AIAN,

NHOPI parameters are to be used for both alone and in combination race group estimates. For the group self-

classified as having two or more races, use the Asian, AIAN, NHOPI parameters for all characteristics except

employment, unemployment, and educational attainment, in which case use Black parameters. A more detailed

discussion on the use of parameters for race and ethnicity can be found in the “Generalized Variance Parameters”

section.

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Table 9. Factors and Populations for State Standard Errors and Parameters:

November 2023

State Factor Population State Factor Population

Alabama

1.13

5,035,473

Montana

0.22

1,132,537

Alaska

0.18

705,012

Nebraska

0.51

1,950,831

Arizona

1.16

7,392,796

Nevada

0.72

3,193,503

Arkansas

0.73

3,026,616

New Hampshire

0.35

1,394,159

California

1.16

38,391,378

New Jersey

1.15

9,190,216

Colorado

1.17

5,794,955

New Mexico

0.44

2,080,585

Connecticut

0.88

3,595,893

New York

1.19

19,301,813

Delaware

0.23

1,026,732

North Carolina

1.18

10,699,741

District of Columbia

0.18

669,215

North Dakota

0.18

764,617

Florida

1.12

22,566,463

Ohio

1.15

11,603,604

Georgia

1.16

10,897,041

Oklahoma

1.07

3,988,114

Hawaii

0.33

1,384,227

Oregon

1.06

4,191,975

Idaho

0.40

1,966,637

Pennsylvania

1.16

12,780,587

Illinois

1.16

12,314,128

Rhode Island

0.28

1,077,473

Indiana

1.14

6,786,103

South Carolina

1.12

5,326,411

Iowa

0.78

3,169,577

South Dakota

0.23

911,666

Kansas

0.81

2,883,517

Tennessee

1.14

7,081,949

Kentucky

1.16

4,444,065

Texas

1.17

30,276,097

Louisiana

1.06

4,467,718

Utah

0.51

3,418,605

Maine

0.42

1,384,395

Vermont

0.20

643,675

Maryland

1.19

6,078,271

Virginia

1.19

8,544,820

Massachusetts

1.13

6,924,983

Washington

1.17

7,746,248

Michigan

1.15

9,934,351

West Virginia

0.50

1,736,668

Minnesota

1.16

5,677,779

Wisconsin

1.16

5,851,980

Mississippi

0.71

2,871,417

Wyoming

0.16

576,243

Missouri

1.18

6,115,005

Source: U.S. Census Bureau, Population Estimates, November 2023.

Notes: The state population counts in this table are for the 0+ population.

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Table 10. Factors and Populations for Regional Standard Errors and Parameters:

November 2023

Region Factor Population

Northeast

1.08

67,963,158

Midwest

1.09

56,293,194

South

1.11

128,736,811

West

1.03

77,974,701

Source: U.S. Census Bureau, Population Estimates, November 2023.

Notes: The region population counts in this table are for the 0+ population.

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REFERENCES

Brooks, C.A., & Bailar, B.A. (1978). Statistical Policy Working Paper 3 - An Error Profile:

Employment as Measured by the Current Population Survey. Subcommittee on

Nonsampling Errors, Federal Committee on Statistical Methodology, U.S.

Department of Commerce, Washington, DC.

https://s3.amazonaws.com/sitesusa/wp-

content/uploads/sites/242/2014/04/spwp3.pdf

Bureau of Labor Statistics. (2006). Household Data (“A” tables, monthly; “D” tables,

quarterly). https://www.bls.gov/cps/eetech_methods.pdf

Bureau of Labor Statistics. (2014). Redesign of the Sample for the Current Population Survey.

http://www.bls.gov/cps/sample_redesign_2014.pdf

Bureau of Labor Statistics. (2022). Labor Force Statistics from the Current Population

Survey. https://www.bls.gov/cps/documentation.htm#reliability

U.S. Census Bureau. (2012). Estimating Current Population Survey (CPS) Person Level

Supplement Variances Using Replicate Weights Part I: Instructions for Using CPS

Person Level Supplement Replicate Weights to Calculate Variances.

https://www2.census.gov/programs-surveys/cps/datasets/2018/supp/PERSON-

level_Use_of_the_Public_Use_Replicate_Weight_File.doc

U.S. Census Bureau. (2018). Estimating Current Population Survey (CPS) Household-level

Supplement Variances Using Replicate Weights Part I: Instructions for Using CPS

Household-level Supplement Replicate Weights to Calculate Variances.

https://www2.census.gov/programs-surveys/cps/datasets/2018/supp/HH-

level_Use_of_the_Public_Use_Replicate_Weight_File.doc

U.S. Census Bureau. (2019). Current Population Survey: Design and Methodology. Technical

Paper 77. Washington, DC: Government Printing Office.

https://www2.census.gov/programs-surveys/cps/methodology/CPS-Tech-Paper-

77.pdf

U.S. Census Bureau. (2021). METHODOLOGY FOR THE UNITED STATES POPULATION

ESTIMATES: VINTAGE 2021 Nation, States, Counties, and Puerto Rico – April 1, 2020

to July 1, 2021. https://www2.census.gov/programs-surveys/popest/technical-

documentation/methodology/2020-2021/methods-statement-v2021.pdf

All online references accessed July 3, 2024.

ATTACHMENT 17

USER NOTES

This section will contain information relevant to the Current Population Survey, November

2023: Computer and Internet Use Supplement File that becomes available after the file is

released.

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