| Annual Business Survey: Characteristics of Businesses: 2018 | 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 | 2018 | abscb | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/abscb |
| Annual Business Survey: Characteristics of Business Owners: 2018 | 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 | 2018 | abscbo | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/abscbo |
| 2018 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 | 2018 | abscs | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/abscs |
| 2018 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). | 2018 | absnesd | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/absnesd |
| 2018 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). | 2018 | absnesdo | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/absnesdo |
| Annual Business Survey: Technology Characteristics of Businesses: 2018 | The Annual Business Survey (ABS) collected select data on technology use and production from all sampled businesses. Results of those data are provided in the ABS Technology Characteristics of Business tables. These Technology Characteristics of Businesses estimates also provide information on sex, ethnicity, race, and veteran status of U.S. employer firms with paid employees, operating during the reference year, with receipts of $1,000 or more. The ABS Technology Characteristics of Businesses cover reference year 2018. | 2018 | abstcb | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/abstcb |
| 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. | 2018 | acs› acs1 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | acs› acs1› cprofile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs1/cprofile |
| ACS 1-Year Profile Tables | 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. | 2018 | acs› acs1› profile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs1/profile |
| 2018 American Community Survey: 1-Year Estimates - Public Use Microdata Sample | 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 | 2018 | acs› acs1› pums | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs1/pums |
| 2018 American Community Survey: 1-Year Estimates - Puerto Rico Public Use Microdata Sample | 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. | 2018 | acs› acs1› pumspr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | acs› acs1› spp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs1/spp |
| ACS 1-Year Subject Tables | 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. | 2018 | acs› acs1› subject | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | acs› acs5 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | acs› acs5› cprofile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs5/cprofile |
| American Community Survey: 5-Year Estimates: Equal Employment Opportunity 5-Year | Equal Employment Opportunity Tabulation (5-year ACS data) | 2018 | acs› acs5› eeo | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs5/eeo |
| ACS 5-Year Data Profiles | 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 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. 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. | 2018 | acs› acs5› profile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs5/profile |
| 2014-2018 American Community Survey: 5-Year Estimates - Public Use Microdata Sample | 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. | 2018 | acs› acs5› pums | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs5/pums |
| 2014-2018 American Community Survey: 5-Year Estimates - Puerto Rico Public Use Microdata Sample | 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. | 2018 | acs› acs5› pumspr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs5/pumspr |
| ACS 5-Year Subject Tables | 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. | 2018 | acs› acs5› subject | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acs5/subject |
| 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. | 2018 | acs› acsse | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/acs/acsse |
| 2014-2018 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. | 2018 | acs› flows | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cbp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cbp |
| Feb 2018 Current Population Survey: Arts Benchmarking Survey Supplement | ABS collects information about individual attendance and involvement in the arts and cultural activity. | 2018 | cps› arts› feb | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/arts/feb |
| Mar 2018 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. | 2018 | cps› asec› mar | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› apr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› aug | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› dec | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› feb | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› jan | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› jul | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› jun | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› mar | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› may | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› nov | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› oct | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/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. | 2018 | cps› basic› sep | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/basic/sep |
| Jan 2018 Current Population Survey: Displaced Workers/Job Tenure | Displaced Workers: Provides data on workers who lost a job in the last 3 years due to plant closing, shift elimination, or other work-related reason. Job Tenure: Provides data that will measure an individual's tenure with his/her current employer and in his/her current occupation. | 2018 | cps› dwjt› jan | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/dwjt/jan |
| Jun 2018 Current Population Survey: Fertility Supplement | Provides data on the number of children that women aged 15-50 have ever had, year of first birth, mother's age at first birth, and marital status at first birth. | 2018 | cps› fertility› jun | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/fertility/jun |
| Dec 2018 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. | 2018 | cps› foodsec› dec | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/foodsec/dec |
| Oct 2018 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. | 2018 | cps› school› oct | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/school/oct |
| Jul 2018 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. | 2018 | cps› tobacco› jul | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/tobacco/jul |
| Aug 2018 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. | 2018 | cps› vets› aug | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/vets/aug |
| Nov 2018 Current Population Survey: Voting Supplement | Provides demographic information on persons who did and did not register to vote. Also measures number of persons who voted and reasons for not registering. | 2018 | cps› voting› nov | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/cps/voting/nov |
| 2018 International Trade: Historical Imports and Exports | This international trade file provides the annual dollar value of U.S. exports and imports of goods for all U.S. trade partners. It also provides the annual dollar value of U.S. exports and imports of manufactured goods for all U.S. trade partners. You can find this data and more by going to usatrade.census.gov. If you have any questions regarding U.S. international trade data, please call us at 1(800)549-0595 option #4 or email us at eid.international.trade.data@census.gov. | 2018 | intltrade› imp_exp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/intltrade/imp_exp |
| 2018 Nonemployer Statistics: Non Employer 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). | 2018 | nonemp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/nonemp |
| 2018 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. | 2018 | pdb› blockgroup | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pdb/blockgroup |
| 2018 Census Planning Database: Tract Level | 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 tract level of geography. These data can be used for many purposes, including survey field operations planning. | 2018 | pdb› tract | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pdb/tract |
| Vintage 2018 Population Estimates: Characteristics by Single Year of Age | Annual Resident Population Estimates by Single Year of Age, Sex, Race, and Hispanic Origin // 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. // The vintage year refers to the final year of the time series. Each vintage of estimates includes all years since the most recent decennial census. The latest vintage estimates supersede all previous vintage estimates. More information about the Population Estimates Program, methodologies, and other products are available at https://www.census.gov/programs-surveys/popest.html. | 2018 | pep› charage | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pep/charage |
| Vintage 2018 Population Estimates: Demographic Characteristics Estimates by Age Groups | Annual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2018 // 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. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // 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. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. 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., V2017) 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 Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | 2018 | pep› charagegroups | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pep/charagegroups |
| Vintage 2018 Population Estimates: Components of Change Estimates | Annual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change: April 1, 2010 to July 1, 2018 // 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. See the Population Estimates Glossary at https://www.census.gov/programs-surveys/popest/about/glossary.html. // Net international migration in the United States includes the international migration of both native and foreign-born populations. Specifically, it includes: (a) the net international migration of the foreign born, (b) the net migration between the United States and Puerto Rico, (c) the net migration of natives to and from the United States, and (d) the net movement of the Armed Forces population between the United States and overseas. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program.// 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 July 2015. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. 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., Vintage 2018) 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 Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | 2018 | pep› components | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pep/components |
| Vintage 2018 Population Estimates: Housing Unit Estimates for US, States, and Counties | Annual Housing Unit Estimates for the United States, States, and Counties // 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. For the housing unit estimates methodology statement, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html.// 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., V2018) 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 Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population and Housing Unit Estimates Program provides additional information including population estimates, historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | 2018 | pep› housing | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pep/housing |
| Vintage 2018 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, 2018 // 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. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // 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 these files. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. 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., V2017) 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 Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | 2018 | pep› natmonthly | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pep/natmonthly |
| Vintage 2018 Population Estimates: Population Estimates | Annual Population Estimates for the United States; States; Metropolitan Statistical Areas, Micropolitan Statistical Areas, and Related Statistical Areas; Counties; and Subcounty Places; and for Puerto Rico and Its Municipios: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through May. // 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 July 2015. // The 2010 Census did not ascertain the military status of the household population. 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. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. 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., Vintage 2017) 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 Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | 2018 | pep› population | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/pep/population |
| Rental Housing Finance Survey | The Rental Housing Finance Survey provides a current and continuous measure of financial, mortgage, and property characteristics of rental housing properties in the United States. The survey focuses on the financing of rental housing properties, with emphasis on new mortgages, refinanced mortgages, or similar devices such as deeds of trust or land contracts, and the characteristics of debt originations. The 2018 RHFS included single-family residential and multifamily residential properties with at least one housing unit intended for rent. Data collection was conducted from June 2018 through November 2018. | 2018 | rhfs | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/rhfs |
| 2018 Economic Annual Surveys: Business Patterns: Zipcode Business Patterns | ZIP Code Business Patterns (ZBP) is an annual series that provides economic data by ZIP Code. This table includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll for All Industries (NAICS 00) by 5-digit ZIP Code. | 2018 | zbp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2018/zbp |