Current Population Survey

The Current Population Survey (CPS) is a monthly survey of U.S. households that is conducted by the U.S. Census Bureau for the U.S. Bureau of Labor Statistics (BLS).

The CPS is the source of the national unemployment rate, along with a wide range of information about employment, unemployment, and people not in the labor force.

Quick Facts: Current Population Survey
Subject areas Hours, Unemployment, Employment
Key measures Labor force, Unemployment, Employment, Unemployment rate, Usual weekly earnings
How the data are obtained Survey of households
Classification system Demographic
Periodicity of data availability Monthly, Quarterly, Annual
Geographic detail National
Scope Civilian noninstitutional population
Key products

See the complete list of CPS news releases and reports online.

Program webpage


The Current Population Survey (CPS) is a monthly survey of U.S. households that is conducted by the U.S. Census Bureau for the U.S. Bureau of Labor Statistics.

The CPS is the source of the national unemployment rate, along with a wide range of information about employment, unemployment, and people not in the labor force.

Following are definitions of the key labor force concepts used in the CPS:

Civilian noninstitutional population. All people residing in the 50 states and the District of Columbia who are not confined to institutions such as nursing homes and prisons, and who are not on active duty in the U.S. Armed Forces. Included are citizens of foreign countries who reside in the United States but do not live on the premises of an embassy. The civilian noninstitutional population ages 16 and older is the base population group used for CPS statistics.

Civilian labor force, or labor force. All people ages 16 and older who are classified as either employed or unemployed, as defined below.

Labor force participation rate. The labor force (employed and unemployed people) as a percentage of the population. The labor force participation rate is calculated as (labor force ÷ civilian noninstitutional population) × 100.

Employed people. All those who, during the survey reference week (generally, the week that includes the 12th day of the month), met any of the following criteria:

Note that each employed person is counted only once, even if he or she holds more than one job. Excluded are people whose only activity consisted of work around their own home (such as housework, painting, repairing, and so forth) or volunteer activities for religious, charitable, or other organizations.

Employment–population ratio. The employed as a percentage of the population. The employment–population ratio is calculated as (employed ÷ civilian noninstitutional population) × 100.

Unemployed people. All people who meet all of the following criteria:

There is one exception to the active job search requirement: People waiting to be recalled to work while temporarily laid off do not need to look for a job in order to be classified as unemployed.

People waiting to start a new job must have actively looked for a job within the last 4 weeks in order to be classified as unemployed. Otherwise, they are classified as not in the labor force.

Active job search methods are defined as those which have the potential to result in a job offer without any further action on the part of the jobseeker. Examples of active job search methods are as follows:

Methods that do not constitute active job search include simply looking at job postings without taking further action, and taking a training course.

Unemployment rate. The number of unemployed people as a percentage of the labor force. (The labor force is the sum of the employed and the unemployed.) The unemployment rate is calculated as (unemployed ÷ labor force) × 100.

Not in the labor force. People ages 16 and older in the civilian noninstitutional population who are neither employed nor unemployed.

Information is collected on their desire for work and availability to take a job at the time of the CPS interview, their job search activity in the previous year, and their reason for not looking for work in the 4-week period ending with the survey reference week.

On the basis of this information, a subgroup known as those marginally attached to the labor force is identified. The marginally attached are people who want and are available for a job, and who have looked for work sometime in the previous 12 months (or since the end of their last job if they held one within the previous 12 months). They are not counted as unemployed because they had not actively searched for work in the previous 4 weeks.

The marginally attached are further divided into two subgroups:

Their specific responses may vary somewhat, but the reasons they give all indicate discouragement about their job prospects.

Usual full- or part-time status. People are classified as full- or part-time workers according to the number of hours they usually work per week.

Hours at work. The measure that reflects a person’s actual hours at work during the survey reference week. For example, people who usually work 40 hours a week, but were off 8 hours on Columbus Day, would be reported as being at work 32 hours, even if they were paid for the holiday.

Data on hours worked pertain only to people who were at work for at least 1 hour during the survey reference week and exclude people who were not at work for the entire week. For people working in more than one job, the published figures relate to the number of hours worked in all jobs during the reference week.

At work part time for economic or noneconomic reasons. These measures pertain to people who were at work for 1 to 34 hours during the survey reference week and exclude people who were not at work during the reference week.

Economic reasons for working part time include the following:

Noneconomic reasons for working part time are as follows:

Reasons for unemployment. Unemployed people (that is, people who are actively seeking and are available for work) are categorized by general reason for unemployment, based on their status at the time they began to look for work. There are four major categories:

Duration of unemployment. The length of time (up to and including the survey reference week) that people classified as unemployed had been continuously looking for work. For people on layoff, the duration of unemployment is the number of full weeks they have been on layoff.

The unemployment duration measures reflect still-in-progress spells of joblessness, not completed spells. The Current Population Survey does not ask how long it took someone to find a job, and the duration measures do not provide that information.

Occupation. The type of job or work that a person does, such as carpenter, software developer, or cashier. The CPS uses the Census Occupational Classification system, which is derived from the Standard Occupational Classification system (SOC).

For the employed, the occupation is based on the job they held in the survey reference week. People with two or more jobs are classified as being in the job at which they worked the greatest number of hours. The unemployed are classified according to their last job.

Industry. This concept reflects the business activity of a person’s employer or company (manufacturing, retail store, hospital), regardless of the type of work that person does (his or her occupation). An industry includes people with different occupations who work for the same type of business.

For the employed, the industry is based on the job the worker held in the survey reference week. People with two or more jobs are classified as being in the job at which they worked the greatest number of hours. The unemployed are classified according to their last job.

Class of worker. A term used to describe general categories of employment arrangements. Workers are categorized into one of the following groups:

For the employed, the class of worker to which they belong is based on the job they held in the survey reference week. People with two or more jobs are classified into the job at which they worked the greatest number of hours. The unemployed are classified according to their last job.

Multiple jobholders. Employed people who had two or more jobs during the survey reference week.

To be classified as a multiple jobholder, the individual must have been a wage and salary worker (defined above) in at least one of the jobs he or she held. Self-employed people with multiple unincorporated businesses and people with multiple jobs as unpaid family workers are not classified as multiple jobholders.

A person employed only in private households (such as a cleaner, gardener, or babysitter) who worked for two or more employers during the survey reference week is not counted as a multiple jobholder.

Usual weekly earnings for wage and salary workers. The usual weekly earnings data from the CPS represent earnings before taxes and other deductions, and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders).

Earnings reported on a basis other than weekly (such as annual, monthly, or hourly) are converted to weekly. The term usual is determined by each respondent’s own understanding of it. If the respondent asks for a definition of “usual,” interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months.

CPS earnings data reflect the sole or primary job of wage and salary workers, and exclude all self-employed people, whether or not their businesses are incorporated. Earnings data are collected about employed people only. The survey does not ask how much unemployed people earned on their last job.

Median usual weekly earnings. The median earnings level is the midpoint in a given earnings distribution, with half of workers having earnings above the median and the other half having earnings below the median. Published estimates of medians are calculated by linear interpolation of the $50 centered interval within which each median falls.

Last Modified Date: April 10, 2018

Data Sources

Approximately 60,000 scientifically selected households make up the Current Population Survey (CPS) sample. Each month, U.S. Census Bureau interviewers attempt to contact a responsible person in each of these eligible households to complete a CPS interview. The Census Bureau will contact each household for 8 monthly interviews over a 16-month period. (See Rotation of Sample in the Design section).

The first time a household is surveyed, the interviewer prepares a roster of the resident household members that includes some of their personal characteristics, such as date of birth, race, Hispanic or Latino ethnicity, marital status, educational attainment, and veteran status.

For each household in the survey, there is a designated “householder”: the person, or one of the people, who rents or owns the residence. The designation “householder” is used in the roster to identify each household member’s relationship to the householder: spouse, child, domestic partner, etc. The roster is checked for accuracy and brought up to date at each subsequent interview to take account of new or departed household residents, changes in marital status, and similar items.

Personal visits are typically required the first month the household is in the sample, and they are preferred in the fifth month. In other months, interviews generally are conducted by telephone. Households without a telephone and those which specifically request a personal visit usually receive in-person interviews each month. About 10 percent of eligible households are interviewed via computer-assisted telephone interviewing (CATI) from telephone centers located in Jeffersonville, Indiana, and Tucson, Arizona. Field representatives interview the remaining households (approximately 68 percent of households in any given month) by telephone.

At each monthly interview, a series of standard questions on work and job search activities during the reference week is asked about each household member 15 years of age or older. The reference week is generally the week that includes the 12th of the month, and Census Bureau interviewers usually begin collecting data during the week that includes the 19th of the month.

On the basis of responses to these questions, the sample population is classified into 1 of 3 groups: the employed, the unemployed, and those not in the labor force. After the basic labor force questions are asked, most monthly interviews include an additional set of questions on supplemental topics, such as school enrollment, income and health insurance, and characteristics of military veterans.

At the end of each day’s interviewing, the field representative transmits the collected data to the Census Bureau’s central computer outside Washington, DC. Once files are transmitted to the main computer, they are deleted from the interviewers’ laptops.

Because of the crucial role interviewers have in the CPS, a great amount of time and effort is spent maintaining the quality of their work. Interviewers are given intensive training, including classroom lectures, discussion, practice, observation, home-study materials, and on-the-job training. Interviewers receive self-study training each month, as well as periodic refresher training sessions. They also are periodically accompanied by a supervisor during a full day of interviewing to determine how well they carry out their assignments.

A selected number of households are reinterviewed each month to detect and deter falsification by interviewers. These reinterviews are conducted by a dedicated staff operating independently of the CPS management structure.

Last Modified Date: April 10, 2018


The Current Population Survey (CPS) is administered to a scientifically selected multistage probability-based sample of households designed to represent the civilian noninstitutional population of each state (and the District of Columbia) and the United States as a whole. The sample is made up of addresses, not the names of people or families at those addresses. The sample size is determined by specific criteria that ensure the statistical reliability of the unemployment rate at the national and state level.

The current sample design was developed after the 2010 decennial census and was implemented beginning in 2014. This sample will be used until a replacement sample is developed after the next decennial census.

Sample size

The CPS starts with a probability sample of about 74,000 assigned housing units each month. Approximately 62,000 housing units are eligible for interview each month, after excluding those which are destroyed, vacant, converted to nonresidential use, contain only people whose usual place of residence is elsewhere, or are ineligible for other reasons. Interviews are completed for about 54,000 housing units. In a given month, about 13 percent of housing units are not interviewed, because of the temporary absence of the occupants (they might be on vacation, for example), other failures to make contact after repeated attempts, inability of people contacted to respond, unavailability for other reasons, and refusals to cooperate. Information is obtained each month on about 105,000 people ages 16 and older.

In developing the survey sample, a number of criteria are considered, including an acceptable degree of statistical reliability for labor force estimates for all states, even those with the smallest populations. The reliability of estimates for a wide range of national labor force characteristics also is considered and optimized, within budgetary limitations. The reliability criteria of the sample design are explained in the state-based design section of Redesign of the sample for the Current Population Survey.

Selection of sample areas

The entire area of the United States is divided into 1,987 Primary Sampling Units (PSUs). Each PSU consists of a county or a group of contiguous counties and is defined within state boundaries.

Metropolitan areas within a state are used as a basis for forming many PSUs. Outside of metropolitan areas, two or more counties normally are combined to form a PSU, except when the geographic area of an individual county is too large. Combining counties to form PSUs provides greater heterogeneity: A typical PSU includes urban and rural residents of varying economic levels and encompasses, to the extent feasible, diverse occupations and industries. Another important consideration is that the PSU be sufficiently compact so that, with a small sample spread throughout it, the PSU can be efficiently canvassed without undue travel costs.

The 1,987 PSUs are grouped into strata within each state. Then, one PSU is selected from each stratum, with the probability of its selection proportional to the population of the PSU. In the first stage of sampling, 852 sample areas are chosen from the strata.

Nationally, there are 506 PSUs in strata by themselves. These strata are self-representing and generally are the most populous PSUs in each state. The remaining 346 strata are formed by combining PSUs that are similar in such characteristics as unemployment, the proportion of housing units with three or more people, the number of people employed in various industries, and average monthly wages for various industries. The single PSU randomly selected from each of these strata is non-self-representing, because it represents not only itself but the entire stratum. The probability of selecting a particular PSU in a non-self-representing stratum is proportional to its population in 2010. For example, within a stratum, the chance that a PSU with a population of 50,000 would be selected for the sample is twice that for a PSU having a population of 25,000.

Selection of sample households

Because the sample design is state based, the sampling ratio differs by state and depends on the size of the state’s population, as well as both national and state reliability requirements. The state sampling ratios range roughly from 1 in every 200 households to 1 in every 3,000 households.

The sampling ratio occasionally is modified slightly to hold the size of the sample relatively constant, given the overall growth of the population. (The procedure is called “sample maintenance reduction.”) The sampling ratio used within a sample PSU depends on the probability of selection of the PSU and the sampling ratio for the state. In a sample PSU with a probability of selection of 1 in 10 and a state sampling ratio of 1 in 3,000, a within-PSU sampling ratio of 1 in 300 achieves the desired overall ratio of 1 in 3,000 for the stratum. On average, a person in the CPS sample represents about 2,500 people in the population.

The current within-PSU sample design was developed with the use of block-level data from the 2010 census. Normally, census blocks are bounded by streets and other prominent physical features, such as rivers or railroad tracks. County, minor civil division, and census place limits also serve as block boundaries. In cities, blocks can be bounded by four streets and be quite small in land area. In rural areas, blocks can be several square miles in size.

Within each block, housing units are sorted geographically and grouped into clusters. A systematic sample of these clusters is then independently selected from each stratum by using the appropriate within-PSU sampling ratio. The geographic clustering of the sample units reduces travel costs for field representatives.

The vast majority of addresses in the CPS sample are typical housing units, such as single-family homes, apartments, and condominiums. However, the CPS sample does include a relatively small number of housing arrangements known as “group quarters.” Examples of civilian, noninstitutional group quarters that are within the scope of the CPS sample are homeless shelters, group housing for agricultural or mining workers, and convents and monasteries. College dormitories also are noninstitutional group quarters, but beginning in late 2017, they were excluded from the CPS sample for cost and operational considerations. Most group quarters are of an institutional nature (for example, prisons and nursing homes) or military (for example, barracks) and therefore have never been part of the CPS sample.

Rotation of the sample

Part of the sample is changed each month. Each full monthly sample is split into 8 different subsamples called rotation groups. Each rotation group is itself a representative sample of the U.S. population. A given rotation group is interviewed for a total of 8 months, divided into two equal periods. The group is in the sample for 4 consecutive months, leaves the sample during the following 8 months, and then returns for another 4 consecutive months.

Each month, one of the rotation groups is being interviewed for the first time; another is being interviewed for the second time; and so on. (The rotation group in the fifth month in the sample is returning after the 8-month break.) Under this system, 75 percent of the sample is common from month to month and 50 percent is common from the same month a year earlier. This month-to-month and year-to-year overlap in the sample yields better estimates of change and improves the reliability of the data without overburdening sampled households.

A full discussion of the sample design process is available in Chapter 3 of Design and methodology: Current Population Survey, Technical Paper 66. Important updates to the process described in Technical Paper 66 are found in Redesign of the Sample for the Current Population Survey (April 2014).

Last Modified Date: April 10, 2018


Data processing and preparation

After interviews for the Current Population Survey (CPS) are conducted, the U.S. Census Bureau processes the raw data files (as submitted by interviewers) to create a microdata file that can be used to produce estimates. This processing includes removing all personally identifiable information, assigning standardized occupation and industry classifications, editing the data for completeness and consistency, and creating new data elements based on responses to multiple survey questions.

Data from field interviewers and centralized call centers are transmitted to Census Bureau headquarters daily during the survey interview period through secure electronic communications. When the Census Bureau’s processing activities are completed, the microdata file is securely transferred to the U.S. Bureau of Labor Statistics (BLS) for estimation of labor force statistics.

For additional details, including imputation methods, see chapters 8 and 9 of Design and methodology: Current Population Survey, Technical Paper 66.


In order to produce national labor force estimates from the survey microdata, a statistical weight for each person in the sample is developed. A series of procedures adjusts the weights for sample records in order to ensure that these sample-based estimates of the population match independent population controls for a number of geographic and demographic subgroups. On average, a person in the CPS sample represents about 2,500 people in the population. The estimation methodology also includes adjustments to account for people who do not respond to the survey and to minimize the error range of survey estimates.

The estimation methodology for the CPS is a highly complex set of statistical procedures. A complete discussion of the estimation process can be found in chapter 10 of Design and methodology: Current Population Survey, Technical Paper 66.

Seasonal adjustment

Labor force levels, employment, unemployment, and other labor market measures fluctuate sharply over the course of a year because of seasonal events such as weather, major holidays, and the opening and closing of schools. Seasonal adjustment is a statistical procedure used to remove seasonal fluctuations from data series, thereby making it easier to observe cyclical and other economic trends. A wide range of seasonally adjusted labor market measures is available from the CPS. However, not all measures are available on a seasonally adjusted basis.

Seasonally adjusted CPS data for the current year are produced with a technique known as concurrent adjustment. Under this practice, the current month’s seasonally adjusted estimate is computed with the use of all relevant original data up to and including data for the current month. Revisions to estimates for previous months, however, are postponed until the end of the calendar year, at which time BLS re-estimates the seasonal adjustment factors for CPS series in order to include the latest 12 months of data in the estimation process. On the basis of this annual reestimation, the most recent 5 years of seasonally adjusted CPS data are subject to revision. The new seasonal factors and the revised seasonally adjusted series are introduced with the publication of December estimates in January of each year. Data series that are not seasonally adjusted, including annual averages, are not part of this revision process. Articles describing the annual seasonal adjustment process over time are available in the CPS technical documentation.

Population controls

Population controls are independent estimates of the population that are used to weight the CPS sample results so that estimates reflect the civilian noninstitutional population ages 16 and older. The Census Bureau develops the CPS population controls, which are based on decennial census population counts, supplemented with birth and death data and estimates of net international migration.

The Census Bureau reviews and adjusts the population estimates every year. BLS introduces the Census Bureau’s annual population control adjustments into CPS estimates for January. The adjustments may increase or decrease estimates of the population level, depending on whether the latest information indicates that the population estimates have trended high or low. Articles describing the population control adjustments over time are available in the CPS technical documentation.

Reliability of the data

Two types of error are possible in an estimate based on a sample survey: sampling error and nonsampling error.

Sampling error. When a sample, rather than an entire population, is surveyed, estimates differ from the true population values that they represent. The component of this difference that occurs because samples differ by chance is known as sampling error, and its variability is measured by the standard error of the estimate.

A sample estimate and its estimated standard error can be used to construct an approximate confidence interval, or range of error. Standard errors and confidence intervals are used to help determine if the difference between two estimates is statistically significant or just part of the sampling variability associated with survey estimates.

There is about a 90-percent chance, or level of confidence, that an estimate based on a sample will differ by no more than 1.645 standard errors from the true population value because of sampling error. BLS analyses generally are conducted at the 90-percent level of confidence.

Estimated standard errors for key CPS data series published by BLS are available in the CPS technical documentation.

Nonsampling error. Nonsampling error is due to factors that are not related to sample selection. This type of error in surveys can be attributed to many sources, including

The full extent of nonsampling error is unknown.

In addition to containing the estimated standard errors for key CPS data series published by BLS, the CPS technical documentation includes more information about the reliability of CPS estimates, along with guidance on calculating approximate standard errors and confidence intervals.

Last Modified Date: April 10, 2018


The Current Population Survey (CPS) is the source of the national unemployment rate and provides a wide range of information on the social, demographic, and economic characteristics of the civilian noninstitutional population ages 16 and older.

Each month, the national unemployment rate and related labor force data are published in The Employment Situation news release.

At the time of The Employment Situation release, numerous supplemental CPS charts and tables are released online and the thousands of CPS labor force series in the BLS public database are updated.

The Employment Situation release dates are available in advance.

From the CPS, the U.S. Bureau of Labor Statistics (BLS) also publishes a quarterly news release on usual weekly earnings, as well as annual and periodic news releases on a variety of topics, including the following:

BLS also publishes several annual reports on topics such as minimum-wage workers, the working poor, and women’s and men’s earnings.

The Employment Situation and all other current and archived CPS news releases and reports can be accessed from the CPS news release page.

For a complete list of CPS topics, with links to available data, see the CPS A to Z index.

A subject index to CPS data in the online public database also is available.

In addition to accessing the regularly tabulated statistics described above, researchers can utilize the public-use versions of CPS microdata files to generate customized estimates. These files contain records of the responses to the survey questionnaire by all individuals in the survey, with the records edited to protect the confidentiality of the respondents. Microdata files are available for all months since January 1976 and for various months in previous years.

Starting with the file for January 1994, public-use data files and accompanying documentation can be downloaded from the Census Bureau’s Dataweb FTP page

For inquiries regarding data estimation methods and specifications for BLS-published CPS statistics, use the link email BLS.

Last Modified Date: April 10, 2018


Hover over the red dot to see historical information.

Timeline event 

Historical overview

Before the 1930s, there was no monthly survey to count the unemployed. In fact, at that time, there was no consensus among economists and statisticians about how the unemployed should be defined and how the unemployment rate should be calculated. Mass unemployment during the Great Depression increased the need for such statistics, and widely conflicting estimates based on a variety of techniques began to appear.

Dissatisfied with these methods, many research groups, as well as state and municipal governments, began experimenting with direct surveys, or samples, of the population. In these surveys, an attempt was made to classify the U.S. working-age population into one of three categories: employed, unemployed, or out of the labor force. Toward that end, a series of questions was asked about each individual.

By the late 1930s, a set of precise labor force concepts was developed to classify people as working, looking for work, or not in the labor force. These concepts were adopted for a national survey of households. Called the Monthly Report of Unemployment, the survey was initiated in 1940 by the Work Projects Administration. The survey was transferred to the U.S. Census Bureau in 1942 and was later renamed the Current Population Survey (CPS). The U.S. Bureau of Labor Statistics (BLS) assumed responsibility for the publication and analysis of the monthly CPS labor force data in 1959, while the Census Bureau continued to administer the survey. Since that time, the CPS has been a joint endeavor of the two statistical agencies.

Historical comparibility

Over the years, there have been continuous improvements to the survey. The definition of the unemployed, as well as the unemployment rate, however, have changed minimally since the concepts were first instituted.

Although the core labor force concepts have held up over time, data users should be aware that there are inevitable historical comparability issues and breaks with many CPS series, some more significant than others. 

Historical comparability issues with CPS data typically stem from one or more of the following:

There have been relatively few changes to CPS questions over the years. The last major redesign, for example, occurred in 1994, when survey questions underwent substantial review and refinement to provide more precise and relevant data about a changing labor market. The survey also moved from a paper format to a computerized instrument at that time.

For information about changes to survey concepts and questions, see the historical comparability section of the CPS technical documentation.

Methodological and related changes do not occur often but are essential to ensuring that survey procedures conform to best practices and provide the highest quality data. The CPS has introduced a number of such improvements over its history, some of which had more impact on data comparability than others. Some of these changes are highly technical in nature, such as those related to sample design and to weighting estimates.

For information about the methodological and related changes, see the historical comparability section of the CPS technical documentation.

Population controls are independent estimates of population that are used to weight the CPS sample results in order to reflect the civilian noninstitutional population ages 16 and older. They are adjusted regularly, to reflect the latest information about population change. Since 2003, the population controls have been adjusted annually with the release of January data.  Prior to 2003, the population controls were adjusted less frequently. 

Some of the population control adjustments have caused significant shifts in estimates of the labor force and employment levels that have affected data comparability.

Information about the effects of population control adjustments on major data series is available in the CPS technical documentation.

BLS publishes employment and unemployment estimates pertaining to industries and occupations from the CPS. The Census Bureau uses standardized classification systems to assign a designated industry and occupation from survey responses, but these classification systems are revised periodically to reflect fundamental changes in industry structure and types of jobs over time. The revisions create changes in the way industries and occupations are grouped and defined—changes that often adversely affect the comparability of historical data. Some of the changes in classification represent complete breaks from previous data, affecting their comparability with more recent data.

Historical comparability of occupation and industry data from the Current Population Survey describes industry and occupational classification changes over time.


Last Modified Date: April 10, 2018

More Information

Visit the U.S. Bureau of Labor Statistics (BLS) Current Population Survey (CPS) homepage for additional information. Browse CPS topics, using the A to Z index, with links to data, reports, and more.

Obtain CPS statistics from a number of sources, including the following:

Get contact information for the CPS staff at BLS

See How the Government Measures Unemployment, which contains a nontechnical description of how the national unemployment statistics are developed from the CPS.

Get technical documentation about topics such as the following:

In addition, see the following Census Bureau technical documentation about data collection and survey design:

Researchers and others interested in working directly with CPS microdata files can download these files for free, along with accompanying documentation, from the Census Bureau’s DataWeb FTP page. In addition to the monthly microdata files, data for many CPS supplemental surveys are available.

Last Modified Date: April 10, 2018