| 2019 Annual Business Survey: Characteristics of Business | The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (for microbusinesses), new business topics such as innovation and technology, as well as other business characteristics. The U.S. Census Bureau and the National Center conduct the ABS jointly for Science and Engineering Statistics within the National Science Foundation. The ABS replaces the five-year Survey of Business Owners (SBO) for employer businesses, the Annual Survey of Entrepreneurs (ASE), the Business R&D and Innovation for Microbusinesses survey (BRDI-M), and the innovation section of the Business R&D and Innovation Survey (BRDI-S). https://www.census.gov/programs-surveys/abs.html | 2019 | abscb | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/abscb |
| 2019 Annual Business Survey: Characteristics of Business Owners | The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (for microbusinesses), new business topics such as innovation and technology, as well as other business characteristics. The U.S. Census Bureau and the National Center conduct the ABS jointly for Science and Engineering Statistics within the National Science Foundation. The ABS replaces the five-year Survey of Business Owners (SBO) for employer businesses, the Annual Survey of Entrepreneurs (ASE), the Business R&D and Innovation for Microbusinesses survey (BRDI-M), and the innovation section of the Business R&D and Innovation Survey (BRDI-S). https://www.census.gov/programs-surveys/abs.html | 2019 | abscbo | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/abscbo |
| 2019 Annual Business Survey: Company Summary | The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (for microbusinesses), new business topics such as innovation and technology, as well as other business characteristics. The U.S. Census Bureau and the National Center conduct the ABS jointly for Science and Engineering Statistics within the National Science Foundation. The ABS replaces the five-year Survey of Business Owners (SBO) for employer businesses, the Annual Survey of Entrepreneurs (ASE), the Business R&D and Innovation for Microbusinesses survey (BRDI-M), and the innovation section of the Business R&D and Innovation Survey (BRDI-S). https://www.census.gov/programs-surveys/abs.html | 2019 | abscs | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/abscs |
| 2019 Nonemployer Statistics by Demographics Series (NES-D): Company Summary | The Nonemployer Statistics by Demographics (NES-D): Company Summary estimates provide economic data classified by sex, ethnicity, race, and veteran status of nonemployer firms. The NES-D is not a survey; rather, it leverages existing administrative records to assign demographic characteristics to the universe of nonemployer businesses. The nonemployer universe is comprised of businesses with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries), and filing IRS tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series). Data for all firms are also presented. These estimates are produced by combining estimates for nonemployer firms from the Nonemployer Statistics by Demographics (NESD) and employer firms from the Annual Business Survey (ABS). | 2019 | absnesd | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/absnesd |
| 2019 Nonemployer Statistics by Demographics Series (NES-D): Owner Characteristics of Nonemployer Firms | The Nonemployer Statistics by Demographics (NES-D): Characteristics of Business Owners estimates provide information on selected economic and demographic characteristics of business owners tabulated by sex, ethnicity, race, and veteran status of an owner. Included in the universe are nonemployer businesses with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries), and filing IRS tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series). | 2019 | absnesdo | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/absnesdo |
| American Community Survey: 1-Year Estimates: Detailed Tables 1-Year | The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Much of the ACS data provided on the Census Bureau's Web site are available separately by age group, race, Hispanic origin, and sex. Summary files, Subject tables, Data profiles, and Comparison profiles are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Detail Tables contain the most detailed cross-tabulations published for areas 65k and more. The data are population counts. There are over 31,000 variables in this dataset. | 2019 | acs› acs1 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs1 |
| American Community Survey: 1-Year Estimates: Comparison Profiles 1-Year | The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Much of the ACS data provided on the Census Bureau's Web site are available separately by age group, race, Hispanic origin, and sex. Summary files, Subject tables, Data profiles, and Comparison profiles are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with each of the last four years of data and include statistical significance testing. There are over 1,000 variables in this dataset. | 2019 | acs› acs1› cprofile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs1/cprofile |
| American Community Survey: 1-Year Estimates: Data Profiles 1-Year | The American Community Survey (ACS) is a uswide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1 and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The data profiles provide key estimates for each of the topic areas covered by the ACS for the us, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Although the ACS produces population, demographic and housing unit estimates,it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the us, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | 2019 | acs› acs1› profile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs1/profile |
| ACS 1-Year PUMS | The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2020, contain data on approximately one percent of the United States population | 2019 | acs› acs1› pums | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs1/pums |
| ACS 1-Year PUMS Puerto Rico | The Public Use Microdata Sample (PUMS) for Puerto Rico (PR) contains a sample of responses to the Puerto Rico Community Survey (PRCS). The PRCS is similar to, but separate from, the American Community Survey (ACS). The PRCS collects data about the population and housing units in Puerto Rico. Puerto Rico data is not included in the national PUMS files. It is published as a state equivalent file and has a State FIPS code of “72”. The file includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. Data are available at the state and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition Puerto Rico into contiguous geographic units containing roughly 100,000 people each. The Puerto Rico PUMS file for an individual year, such as 2019, contain data on approximately one percent of the Puerto Rico population. | 2019 | acs› acs1› pumspr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs1/pumspr |
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | Selected Population Profiles provide broad social, economic, and housing profiles for a large number of race, ethnic, ancestry, and country/region of birth groups. The data are presented as population counts for the total population and various subgroups and percentages. | 2019 | acs› acs1› spp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs1/spp |
| American Community Survey: 1-Year Estimates: Subject Tables 1-Year | The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Much of the ACS data provided on the Census Bureau's Web site are available separately by age group, race, Hispanic origin, and sex. Summary files, Subject tables, Data profiles, and Comparison profiles are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Subject tables provide an overview of the estimates available in a particular topic. The data are presented as population counts and percentages. There are over 16,000 variables in this dataset. | 2019 | acs› acs1› subject | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs1/subject |
| American Community Survey: 5-Year Estimates: Detailed Tables 5-Year | The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Summary files include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts (116th Congress), all counties, all places, and all tracts and block groups. Summary files contain the most detailed cross-tabulations, many of which are published down to block groups. The data are population and housing counts. There are over 64,000 variables in this dataset. | 2019 | acs› acs5 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs5 |
| American Community Survey: 5-Year Estimates: Comparison Profiles 5-Year | The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The Comparison Profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Comparison Profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | 2019 | acs› acs5› cprofile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs5/cprofile |
| American Community Survey: 5-Year Estimates: Data Profiles 5-Year | The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, housing, and demographic characteristics of the U.S. population. The ACS 5-year data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. The Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | 2019 | acs› acs5› profile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs5/profile |
| ACS 5-Year PUMS | The American Community Survey (ACS) Public Use Microdata Sample (PUMS) contains a sample of responses to the ACS. The ACS PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status).Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. ACS PUMS data are available at the nation, state, and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition each state into contiguous geographic units containing roughly 100,000 people each. ACS PUMS files for an individual year, such as 2019, contain data on approximately one percent of the United States population. | 2019 | acs› acs5› pums | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs5/pums |
| ACS 5-Year PUMS Puerto Rico | The Public Use Microdata Sample (PUMS) for Puerto Rico (PR) contains a sample of responses to the Puerto Rico Community Survey (PRCS). The PRCS is similar to, but separate from, the American Community Survey (ACS). The PRCS collects data about the population and housing units in Puerto Rico. Puerto Rico data is not included in the national PUMS files. It is published as a state equivalent file and has a State FIPS code of “72”. The file includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or, in the household-level dataset, a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. Individuals living in Group Quarters, such as nursing facilities or college facilities, are also included on the person file. Data are available at the state and Public Use Microdata Area (PUMA) levels. PUMAs are special non-overlapping areas that partition Puerto Rico into contiguous geographic units containing roughly 100,000 people each. The Puerto Rico PUMS file for an individual year, such as 2019, contain data on approximately one percent of the Puerto Rico population. | 2019 | acs› acs5› pumspr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs5/pumspr |
| American Community Survey: 5-Year Estimates: Subject Tables 5-Year | The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The subject tables include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Subject tables provide an overview of the estimates available in a particular topic. The data are presented as both counts and percentages. There are over 66,000 variables in this dataset. | 2019 | acs› acs5› subject | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acs5/subject |
| American Community Survey: Supplemental Estimates: ACS 1-Year Supplemental Estimates | The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1 and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. It produces estimates for small areas, including census tracts and population subgroups. Although the ACS produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | 2019 | acs› acsse | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/acsse |
| 2015-2019 American Community Survey: Migration Flows | Migration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question "Where did you live 1 year ago?". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | 2019 | acs› flows | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/acs/flows |
| Economic Surveys: Business Patterns: County Business Patterns | County Business Patterns (CBP) is an annual series that provides sub-national economic data by industry for establishments with paid employees. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. Data for establishments are presented by geographic area, 2- thru 6-digit NAICS industry, Legal Form of Organization (U.S. and state only), and employment size of the establishment. | 2019 | cbp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cbp |
| Mar 2019 Current Population Survey: Annual Social and Economic (March) Supplement | The Annual Social and Economic Supplement or March CPS supplement is the primary source of detailed information on income and work experience in the United States. Numerous publications based on this survey are issued each year by the Bureaus of Labor Statistics and Census. A public-use microdata file is available for private researchers, who also produce many academic and policy-related documents based on these data.
The Annual Social and Economic Supplement is used to generate the annual Population Profile of the United States, reports on geographical mobility and educational attainment, and detailed analysis of money income and poverty status. The labor force and work experience data from this survey are used to profile the U.S. labor market and to make employment projections.
To allow for the same type of in-depth analysis of hispanics, additional hispanic sample units are added to the basic CPS sample in March each year. Additional weighting is also performed so that estimates can be made for households and families, in addition to persons. | 2019 | cps› asec› mar | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/asec/mar |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› apr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/apr |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› aug | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/aug |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› dec | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/dec |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› feb | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/feb |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› jan | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/jan |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› jul | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/jul |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› jun | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/jun |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› mar | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/mar |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› may | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/may |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› nov | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/nov |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› oct | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/oct |
| CPS Basic | To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, health insurance, and migration data from the Annual Social and Economic Supplement (ASEC), and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently. | 2019 | cps› basic› sep | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/basic/sep |
| Current Population Survey: Disability Supplement | Measures data in specific areas related to the employment of persons with disabilities. Gives labor force participation rates, work history, barriers to employment, and types of workplace accommodations for persons with disabilities. | 2019 | cps› disability› jul | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/disability/jul |
| Current Population Survey: Food Security Supplement | Provides data that will measure hunger and food security. It will provide data on food expenditure, access to food, and food quality and safety. | 2019 | cps› foodsec› dec | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/foodsec/dec |
| Current Population Survey: Computer and Internet Use Supplement | Information on person and household broadband (high-speed Internet) use, where it is used, by what types of devices, what type of service provider, online actions performed, and other characteristics. | 2019 | cps› internet› nov | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/internet/nov |
| Current Population Survey: School Enrollment Supplement | Provides information on population 3 years old and older on school enrollment, junior or regular college attendance, and high school graduation. | 2019 | cps› school› oct | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/school/oct |
| Current Population Survey: Tobacco Use Supplement | To measure changes in America's use of tobacco products as well as to understand public attitudes about smoking. | 2019 | cps› tobacco› jan | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/tobacco/jan |
| Current Population Survey: Tobacco Use Supplement | To measure changes in America's use of tobacco products as well as to understand public attitudes about smoking. | 2019 | cps› tobacco› may | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/tobacco/may |
| Current Population Survey: Unbanked/Underbanked Supplement | To produce data on barriers faced when deciding how and where to conduct financial transactions and inform policy-makers on issues related to economic inclusion. | 2019 | cps› unbank› jun | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/unbank/jun |
| Current Population Survey: Veterans Supplement | Provides data for veterans of the United States on Vietnam-theater and Persian Gulf-theater status, service-connected income, effect of a service-connected disability on current labor force participation and participation in veterans' programs. | 2019 | cps› vets› aug | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/vets/aug |
| Current Population Survey: Volunteering and Civic Life Supplement | Information on a variety of topics that assess civic health: interactions with family, friends, neighbors; political engagement; group membership and participation; frequency of volunteering activity; and donations to political or charitable organizations. | 2019 | cps› volunteer› sep | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cps/volunteer/sep |
| Community Resilience Estimates | The Community Resilience Estimates track how socially vulnerable every neighborhood in the United States is to the impacts of a disaster. The Community Resilience Estimates use American Community Survey microdata and Population Estimates Program data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster. | 2019 | cre | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/cre |
| Community Resilience Estimates for Puerto Rico | The Community Resilience Estimates for Puerto Rico track how socially vulnerable every neighborhood in Puerto Rico is to the impacts of a disaster. The Community Resilience Estimates use Puerto Rico Community Survey microdata and Population Estimates Program data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster. | 2019 | crepuertorico | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/crepuertorico |
| Economic Surveys: Nonemployer Statistics | Nonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax, and have receipts of $1,000 or more ($1 or more for the Construction sector). The data consist of the number of businesses and total receipts by industry. Data are published by legal form of organization (U.S. and state only) and receipts-size class of establishments (U.S. level only). | 2019 | nonemp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/nonemp |
| Census Planning Database: Block Group | The PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning | 2019 | pdb› blockgroup | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pdb/blockgroup |
| Census Planning Database: Tract Level | No description provided by data sponsor | 2019 | pdb› tract | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pdb/tract |
| Population Estimates: Estimates by Age, Sex, Race, and Hispanic Origin | Annual Resident Population Estimates by Age, Sex, Race, and Hispanic Origin; for the United States, States, and Puerto Rico: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | 2019 | pep› charage | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pep/charage |
| Population Estimates: Estimates by Age Group, Sex, Race, and Hispanic Origin | Annual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin; for the United States, States, Counties; and for Puerto Rico and its Municipios: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | 2019 | pep› charagegroups | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pep/charagegroups |
| Population Estimates: Census Bureau Version: Components of Change Estimates | Annual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change; for the United States, States, Metropolitan Statistical Areas, Micropolitan Statistical Areas, Counties, and Puerto Rico: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through March. // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency in September 2018. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | 2019 | pep› components | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pep/components |
| Population Estimates: Housing Unit Estimates for US, States, and Counties | Annual Housing Unit Estimates for the United States, States, and Counties: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 housing units due to the Count Question Resolution program and geographic program revisions // Each year, the Census Bureau's Population and Housing Unit Estimates Program utilizes current data on new residential construction, placements of manufactured housing, and housing unit loss to calculate change in the housing stock since the most recent decennial census, and produces a time series of housing unit estimates. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | 2019 | pep› housing | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pep/housing |
| Population Estimates: National Monthly Population Estimates | Monthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2020 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on this file. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. A time series of estimates is produced, beginning with the census. The reference date for all estimates is the first of the month. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | 2019 | pep› natmonthly | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pep/natmonthly |
| Population Estimates: Population Estimates | Annual Population Estimates for the United States, States, Metropolitan Statistical Areas, Micropolitan Statistical Areas, Counties, Incorporated Places, and Minor Civil Divisions; and for Puerto Rico and Its Municipios // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through May. // The estimates are developed from an April 1, 2020 base population and may incorporate changes resulting from the Count Question Resolution program and/or geographic program revisions. // The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency. // Current data on births, deaths, and migration are used to calculate population change since April 1, 2020. An annual time series of estimates is produced, beginning with April 1, 2020 and extending to the vintage year. The vintage year refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | 2019 | pep› population | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2019/pep/population |