| Annual Business Survey: Characteristics of Businesses: 2017 | 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 | 2017 | abscb | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/abscb |
| Annual Business Survey: Characteristics of Business Owners: 2017 | 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 | 2017 | abscbo | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/abscbo |
| 2017 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 | 2017 | abscs | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/abscs |
| ACS 1-Year Detailed 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. 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. | 2017 | acs› acs1 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs1 |
| ACS 1-Year Comparison 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. 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. | 2017 | acs› acs1› cprofile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs1/cprofile |
| ACS 1-Year Data Profiles | 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. | 2017 | acs› acs1› profile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs1/profile |
| 2017 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 | 2017 | acs› acs1› pums | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs1/pums |
| 2017 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. | 2017 | acs› acs1› pumspr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | acs› acs1› spp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | acs› acs1› subject | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs1/subject |
| ACS 5-Year Detailed 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. 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. | 2017 | acs› acs5 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs5 |
| ACS 5-Year Comparison 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 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. | 2017 | acs› acs5› cprofile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs5/cprofile |
| 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, 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. | 2017 | acs› acs5› profile | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs5/profile |
| 2013-2017 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. | 2017 | acs› acs5› pums | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acs5/pums |
| 2013-2017 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. | 2017 | acs› acs5› pumspr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | acs› acs5› subject | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | acs› acsse | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/acsse |
| ACS 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?". The Census Bureau provides 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. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. 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. | 2017 | acs› flows | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/acs/flows |
| Annual Economic Surveys: Business Patterns: County Business Patterns | County Business Patterns (CBP) is an annual series that provides sub-national economic data by industry. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. This data is useful for studying the economic activity of small areas, analyzing economic changes over time, and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning. | 2017 | cbp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cbp |
| 2017 Commodity Flow Survey - Geographic Area Series | The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Geographic Area Series. | 2017 | cfsarea | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cfsarea |
| 2017 Commodity Flow Survey - Exports Series | The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Exports Series. | 2017 | cfsexport | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cfsexport |
| 2017 Commodity Flow Survey - Hazardous Materials Series | The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Hazardous Materials Series. | 2017 | cfshazmat | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cfshazmat |
| 2017 Commodity Flow Survey - Preliminary Report | The 2012 Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Preliminary Report. | 2017 | cfsprelim | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cfsprelim |
| Commodity Flow Survey Public Use Microdata: Destination of Shipments | The PUM file provides access to shipment-level characteristics on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The CFS PUM Destination of Shipments provides extra geographical functionality for destination geography. | 2017 | cfspum› cfspumdest | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cfspum/cfspumdest |
| Commodity Flow Survey Public Use Microdata: Origin of Shipments | The PUM file provides access to shipment-level characteristics on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The CFS PUM Origin of Shipments provides extra geographical functionality for origin geography. | 2017 | cfspum› cfspumorig | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cfspum/cfspumorig |
| 2017 Commodity Flow Survey - Temperature Control Series | The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Temperature Series. | 2017 | cfstemp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cfstemp |
| Mar 2017 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. | 2017 | cps› asec› mar | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› apr | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› aug | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› dec | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› feb | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› jan | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› jul | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› jun | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› mar | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› may | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› nov | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› oct | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/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. | 2017 | cps› basic› sep | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/basic/sep |
| May 2017 Current Population Survey: Contingent Worker Supplement | To obtain information about the "contingent" workforce. "Contingent" work is temporary work that a person does without expecting continuing employment from the particular employer (or source of employment) for whom they work. | 2017 | cps› contworker› may | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/contworker/may |
| Dec 2017 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. | 2017 | cps› foodsec› dec | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/foodsec/dec |
| Nov 2017 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. | 2017 | cps› internet› nov | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/internet/nov |
| Jul 2017 Current Population Survey: Public Participation in the Arts Supplement | To obtain information on type and frequency of adult participation in the arts; training and exposure (particularly while young), and their musical and artistic activity preferences | 2017 | cps› pubarts› jul | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/pubarts/jul |
| Oct 2017 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. | 2017 | cps› school› oct | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/school/oct |
| Jun 2017 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. | 2017 | cps› unbank› jun | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/unbank/jun |
| Aug 2017 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. | 2017 | cps› vets› aug | Microdata | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/cps/vets/aug |
| Economic Census of Island Areas: Core Statistics: Economic Census of Island Areas | Every five years, the U.S. Census Bureau collects extensive statistics about businesses that are essential to understanding the economy of American Samoa, Commonwealth of Northern Mariana Islands, Guam, Virgin Islands, and Puerto Rico. This official count, as part of the Economic Census of Island Areas, serves as the foundation for the measurement of Island Areas businesses and their economic impact. | 2017 | ecn› islandareas | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecn/islandareas |
| Island Areas: Comparative Statistics for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: (2017 NAICS Basis): 2017 and 2012 | Every five years, the U.S. Census Bureau collects extensive statistics about businesses that are essential to understanding the economy of American Samoa, Commonwealth of Northern Mariana Islands, Guam, Virgin Islands, and Puerto Rico. This official count, as part of the Economic Census of Island Areas, serves as the foundation for the measurement of Island Areas businesses and their economic impact. | 2017 | ecn› islandareas› comp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecn/islandareas/comp |
| Economic Census of Island Areas: Core Statistics: Economic Census of Island Areas | This dataset provides industry statistics on number of establishments; number of employees; payroll; sales, value of shipments, or revenue; and other industry-specific data items by geographic area for establishments and firms with paid employees for Puerto Rico. Data are shown on a 2012 NAICS basis. The statistics, NAICS levels, and the geographic areas covered vary by sector. These data were released in December 2015. | 2017 | ecn› islandareas› ind | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecn/islandareas/ind |
| Economic Census: Economic Census of the United States: Economic Census of Island Areas | Every five years, the U.S. Census Bureau collects extensive statistics about businesses that are essential to understanding the economy of American Samoa, Commonwealth of Northern Mariana Islands, Guam, Virgin Islands, and Puerto Rico. This official count, as part of the Economic Census of Island Areas, serves as the foundation for the measurement of Island Areas businesses and their economic impact. | 2017 | ecn› islandareas› napcs | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecn/islandareas/napcs |
| Economic Census: Finance and Insurance: Administrative Expenses and Losses Incurred for Property and Casualty Insurance Carriers for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Administrative Expenses and Losses Incurred for Property and Casualty Insurance Carriers for the U.S. | 2017 | ecnadbnprop | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnadbnprop |
| Economic Census: Finance and Insurance: Administrative Expenses and Benefits Paid for Life, Health, and Medical Insurance Carriers for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Administrative Expenses and Benefits Paid for Life, Health, and Medical Insurance Carriers for the U.S. | 2017 | ecnadmben | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnadmben |
| Economic Census: Summary Statistics for the U.S., States, and Selected Geographies: 2017 | This dataset provides industry statistics on number of firms; number of establishments; number of employees; payroll; and sales, value of shipments, or revenue by geographic area for establishments and firms with paid employees. Data are shown on a 2017 NAICS basis. The statistics, NAICS levels, and the geographic areas covered vary by sector. | 2017 | ecnbasic | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnbasic |
| Economic Census: Finance and Insurance: Brokering and Dealing Products Income for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Brokering and Dealing Products Income for the U.S. | 2017 | ecnbranddeal | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnbranddeal |
| Economic Census: Core Statistics: Selected Sectors: Industry Bridge Statistics on the Current NAICS Basis With Distribution Among the Previous NAICS-Based Industries for the U.S. | This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; and number of employees whose NAICS classification has changed between the current and the previous economic censuses. Data are shown for 6-digit current economic census NAICS industries and their 8-digit previous economic census NAICS components for the U.S. Includes only establishments of firms with paid employees. | 2017 | ecnbridge1 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnbridge1 |
| Economic Census: Core Statistics: Selected Sectors: Industry Bridge Statistics on the Previous NAICS Basis With Distribution Among the Current NAICS-Based Industries for the U.S. | This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; and number of employees whose NAICS classification has changed between the current and the previous economic censuses. Data are shown for 6-digit previous economic census NAICS industries and their 8-digit current economic census NAICS components for the U.S. Includes only establishments of firms with paid employees. | 2017 | ecnbridge2 | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnbridge2 |
| Economic Census: Finance and Insurance: Brokering or Dealing Products Income for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Brokering or Dealing Products Income for the U.S. | 2017 | ecnbrordeal | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnbrordeal |
| Economic Census: Finance and Insurance: Credit Card Products Income for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Credit Card Products Income for the U.S. | 2017 | ecnccard | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnccard |
| Economic Census: Class of Customer Statistics for Selected Geographies: 2017 | This dataset presents statistics on the number and total sales, value of shipments, or revenue of establishments; distribution of sales, shipments, or revenue by class of customer; and sales, shipments, or revenue of establishments responding to class of customer inquiry as a percent of total revenue for selected industries for selected geographies. Includes only establishments of firms with paid employees. | 2017 | ecnclcust | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnclcust |
| Economic Census: Wholesale Trade: Sales and Commissions of Electronic Markets, Agents, Brokers, and Commission Merchants for the U.S.: 2017 | This dataset presents statistics for Wholesale Trade: Sales and Commissions of Electronic Markets, Agents, Brokers, and Commission Merchants for the U.S. | 2017 | ecncomm | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecncomm |
| Economic Census: Core Statistics: All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (Previous NAICS Basis) | This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; and number of employees at the 2-6 digit NAICS levels for the current and previous economic censuses for the U.S., states, and offshore areas (Mining sector only). Includes only establishments of firms with paid employees. | 2017 | ecncomp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecncomp |
| Economic Census: Utilities and Transportation and Warehousing: Construction Activity by Utilities and Pipelines for the U.S. and States: 2017 | This dataset presents statistics for Utilities and Transportation and Warehousing: Construction Activity by Utilities for the U.S. and Pipelines for the U.S. and States | 2017 | ecnconact | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnconact |
| Economic Census: Finance and Insurance: Types of Credit Financing Products Income for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Types of Credit Financing Products Income for the U.S. | 2017 | ecncrfin | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecncrfin |
| Economic Census: Finance and Insurance: Direct Premiums Earned for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Direct Premiums Earned for the U.S. | 2017 | ecndirprem | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecndirprem |
| Economic Census: Information: Sales, Value of Shipments, or Revenue by Type of Dissemination Media for the U.S.: 2017 | This dataset presents statistics for Information: Sales, Value of Shipments, or Revenue by Type of Dissemination Media for the U.S. | 2017 | ecndissmed | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecndissmed |
| Economic Census: Accommodation and Food Services: Establishments Using Electronic Devices for Self-Service Table Orders and/or Payment for the U.S. and States: 2017 | This dataset presents statistics for Accommodation and Food Services: Establishments Using Electronic Devices for Self-Service Table Orders and/or Payment for the U.S. and States | 2017 | ecnelmenu | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnelmenu |
| Economic Census: Wholesale Trade: Employment by Primary Function for the U.S.: 2017 | This dataset presents statistics for Wholesale Trade: Employment by Primary Function for the U.S. | 2017 | ecnempfunc | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnempfunc |
| Economic Census: Enterprise Support Statistics for the U.S. : 2017 | This dataset presents statistics on number of establishments; sales, value of shipments, or revenue; payroll; and number of employees for enterprise support establishments by industry served for selected sectors for the U.S. Includes only establishments of firms with paid employees. | 2017 | ecnentsup | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnentsup |
| Economic Census: Wholesale Trade: Inventories by Valuation Method for the U.S.: 2017 | This dataset presents statistics for Wholesale Trade: Inventories by Valuation Method for the U.S. | 2017 | ecneoyinv | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecneoyinv |
| Economic Census: Transportation and Warehousing: Inventories by Valuation Method for Enterprise Support Establishments for the U.S.: 2017 | This dataset presents statistics for Transportation and Warehousing: Inventories by Valuation Method for Enterprise Support Establishments for the U.S. | 2017 | ecneoyinvwh | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecneoyinvwh |
| Economic Census: Utilities: Exported Energy to Canada and Mexico for the U.S.: 2017 | This data presents statistics for Utilities: Exported Energy to Canada and Mexico for the U.S. | 2017 | ecnexpnrg | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnexpnrg |
| Economic Census: Exported Services Statistics for the U.S.: 2017 | This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; number of employees; sales, value of shipments, or revenue from exported services; and response coverage of exported services inquiries for selected industries for the U.S. Includes only establishments of firms with paid employees. | 2017 | ecnexpsvc | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnexpsvc |
| Economic Census: Retail Trade: Floor Space by Selected Industry for the U.S. and States: 2017 | This dataset presents statistics for Retail Trade: Floor Space by Selected Industry for the U.S. and States | 2017 | ecnflspace | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnflspace |
| Economic Census: Accommodation and Food Services: Primary Type of Food Service for the U.S. and States: 2017 | This dataset presents statistics for Accommodation and Food Services: Primary Type of Food Service for the U.S. and States | 2017 | ecnfoodsvc | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnfoodsvc |
| Economic Census: Core Statistics: Selected Sectors: Franchise Status for the U.S. and States | This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; number of employees; and response coverage of franchise inquiry, by franchise status for selected industries for the U.S. and states (only for sector 72). Includes only establishments of firms with paid employees. | 2017 | ecnfran | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnfran |
| Economic Census: Health Care and Social Assistance: Grants, Transferred Contributions and Similar Payments, with Net Expenses for the U.S.: 2017 | This dataset presents statistics for Health Care and Social Assistance: Grants, Transferred Contributions and Similar Payments, with Net Expenses for the U.S. | 2017 | ecngrant | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecngrant |
| Economic Census: Health Care and Social Assistance: Ownership and Control of Government Hospitals for the U.S.: 2017 | This dataset presents statistics for Health Care and Social Assistance: Ownership and Control of Government Hospitals for the U.S. | 2017 | ecnhosp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnhosp |
| Economic Census: Accommodation and Food Services: Hotel Property Type for the U.S. and States: 2017 | This dataset presents statistics for Accommodation and Food Services: Hotel Property Type for the U.S. and States | 2017 | ecnhotel | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnhotel |
| Economic Census: Educational Services: Modes of Instruction for the U.S.: 2017 | This dataset presents statistics for Educational Services: Modes of Instruction for the U.S. | 2017 | ecninstr | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecninstr |
| Economic Census: Manufacturing: Method of Inventory Valuation for the U.S.: 2017 | This dataset presents statistics for Manufacturing: Method of Inventory Valuation for the U.S. | 2017 | ecninvval | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecninvval |
| Economic Census: Value of Business Done for Kind-of-Business for the U.S., Regions, and States: 2017 | This dataset presents statistics for Construction: Value of Business Done for Kind-of-Business for the U.S., Regions, and States | 2017 | ecnkob | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnkob |
| Economic Census: Other Services (Except Public Administration): Sales, Value of Shipments, or Revenue from Labor Charges and Parts Installed for Repair and Maintenance Services for the U.S.: 2017 | This dataset presents statistics for Other Services (Except Public Administration): Sales, Value of Shipments, or Revenue from Labor Charges and Parts Installed for Repair and Maintenance Services for the U.S. | 2017 | ecnlabor | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnlabor |
| Economic Census: Manufacturing: Inventories with LIFO Valuation for the U.S.: 2017 | This dataset presents statistics for Manufacturing: Inventories with LIFO Valuation for the U.S. | 2017 | ecnlifomfg | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnlifomfg |
| Economic Census: Mining: Inventories with LIFO Valuation for the U.S.: 2017 | This dataset presents statistics for Mining: inventories with LIFO valuation for the U.S. | 2017 | ecnlifomine | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnlifomine |
| Economic Census: Finance and Insurance: Type of Loan Products Income for the U.S.: 2017 | This dataset presents statistics for Finance and Insurance: Type of Loan Products Income for the U.S. | 2017 | ecnloan | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnloan |
| Economic Census: Construction: Location of Construction Establishments by Employment Size for the U.S. and States: 2017 | This dataset presents statistics for Construction: Location of Construction Establishments by Employment Size for the U.S. and States | 2017 | ecnloccons | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnloccons |
| Economic Census: Manufacturing: Location of Manufacturing Establishments by Employment Size for the U.S., States, and Counties: 2017 | This dataset presents statistics for Manufacturing: Location of Manufacturing Establishments by Employment Size for the U.S., States, and Counties | 2017 | ecnlocmfg | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnlocmfg |
| Economic Census: Mining: Location of Mines by Employment Size for Subsectors and Industries for the U.S., State, and Offshore Area: 2017 | This dataset presents statistics for Mining: Location of Mines by Employment Size for Subsectors and Industries for the U.S., States, and Offshore Area. | 2017 | ecnlocmine | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnlocmine |
| Economic Census: Wholesale Trade: Gross Margin and its Components for Merchant Wholesalers for the U.S.: 2017 | This dataset presents statistics for Wholesale Trade: Gross Margin and its Components for Merchant Wholesalers for the U.S. | 2017 | ecnmargin | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnmargin |
| Economic Census: Manufacturing and Mining: Materials Consumed and Selected Supplies, Minerals Received for Preparation, Purchased Machinery and Fuels Consumed by Type of Industry for the U.S.: 2017 | This dataset presents statistics for Manufacturing and Mining: Materials Consumed and Selected Supplies, Minerals Received for Preparation, Purchased Machinery and Fuels Consumed by Type of Industry for the U.S. | 2017 | ecnmatfuel | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnmatfuel |
| Economic Census: Industry by Products Statistics for the U.S.: 2017 | This dataset presents statistics on: the number and total revenue of establishments with the product line; product line revenue; product line revenue as a percent of total revenue of establishments with the product line and of all establishments; and quantity produced and shipped for the U.S. and states. Includes only establishments of firms with payroll. Product lines are referenced by NAPCS collection codes in the table. | 2017 | ecnnapcsind | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnnapcsind |
| Economic Census: Products by Industry Statistics for the U.S.: 2017 | This dataset presents statistics on: the number and total revenue of establishments with the product line; product line revenue; and industry contribution to total product line revenue for all sectors for the U.S only. Includes only establishments of firms with payroll. Product lines are referenced by NAPCS collection codes in the table. | 2017 | ecnnapcsprd | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnnapcsprd |
| Economic Census: Health Care and Social Assistance: Sales, Value of Shipments, or Revenue by Type of Patient Care for the U.S.: 2017 | This dataset presents statistics for Health Care and Social Assistance: Sales, Value of Shipments, or Revenue by Type of Patient Care for the U.S. | 2017 | ecnpatient | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpatient |
| Economic Census: Wholesale Trade: Petroleum Bulk Storage Capacity by Type of Facility and Type of Product for the U.S. and States: 2017 | This dataset presents statistics for Wholesale Trade: Petroleum Bulk Storage Capacity by Type of Facility and Type of Product for the U.S. and States | 2017 | ecnpetrfac | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpetrfac |
| Economic Census: Wholesale Trade: Petroleum Bulk Storage Capacity by Type of Product and Storage Capacity Size for the U.S. and States: 2017 | This dataset presents statistics for Wholesale Trade: Petroleum Bulk Storage Capacity by Type of Product and Storage Capacity Size for the U.S. and States | 2017 | ecnpetrprod | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpetrprod |
| Economic Census: Wholesale Trade: Primary Method of Receiving Petroleum Bulk Liquid Products for the U.S. and States: 2017 | This dataset presents statistics for Wholesale Trade: Primary Method of Receiving Petroleum Bulk Liquid Products for the U.S. and States | 2017 | ecnpetrrec | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpetrrec |
| Economic Census: Wholesale Trade: Petroleum Bulk Storage Capacity by Type of Station by Type of Product for the U.S. and States: 2017 | This dataset presents statistics for Wholesale Trade: Petroleum Bulk Storage Capacity by Type of Station by Type of Product for the U.S. and States | 2017 | ecnpetrstat | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpetrstat |
| Economic Census: Wholesale Trade: Gross Profit and its Components for Merchant Wholesalers for the U.S.: 2017 | This dataset presents statistics for Wholesale Trade: Gross Profit and its Components for Merchant Wholesalers for the U.S. | 2017 | ecnprofit | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnprofit |
| Economic Census: Utilities: Cost of Purchased Electricity for Resale by Utilities for the U.S.: 2017 | This dataset presents statistics for Utilities: Cost of Purchased Electricity for Resale by Utilities for the U.S. | 2017 | ecnpurelec | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpurelec |
| Economic Census: Utilities: Cost of Purchased Natural Gas for Resale by Utilities for the U.S.: 2017 | This dataset presents statistics for Utilities: Cost of Purchased Natural Gas for Resale by Utilities for the U.S. | 2017 | ecnpurgas | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpurgas |
| Economic Census: Transportation and Warehousing: Cost of Purchased Transportation by Mode of Shipping for the U.S. and States: 2017 | This dataset presents statistics for Transportation and Warehousing: Cost of Purchased Transportation by Mode of Shipping for the U.S. and States | 2017 | ecnpurmode | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnpurmode |
| Economic Census: Management of Companies and Enterprises: Research and Development for Corporate, Subsidiary, and Regional Managing Offices for the U.S.: 2017 | This dataset presents statistics for Management of Companies and Enterprises: Research and Development for Corporate, Subsidiary, and Regional Managing Offices for the U.S. | 2017 | ecnrdofc | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnrdofc |
| Economic Census: Establishment and Firm Size Statistics for the U.S: 2017 | This dataset presents statistics by employment and sales, value of shipments, or revenue size for establishments and firms; single unit and multiunit firms; concentration of largest firms; and legal form of organization for selected industries for the U.S. Includes only establishments and firms with payroll. | 2017 | ecnsize | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnsize |
| Economic Census: Health Care and Social Assistance: Sales, Value of Shipments, or Revenue by Type of Social Assistance for the U.S.: 2017 | This dataset presents statistics for Health Care and Social Assistance: Sales, Value of Shipments, or Revenue by Type of Social Assistance for the U.S. | 2017 | ecnsocial | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnsocial |
| Economic Census: Mining: Detailed Statistics by Type of Operation for the U.S., States, and Offshore Areas: 2017 | This dataset presents statistics for Mining: Summary Statistics by Type of Operation for the U.S., States, and Offshore Areas | 2017 | ecntype | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecntype |
| Economic Census: Health Care and Social Assistance: Sales, Value of Shipments, or Revenue by Type of Payer for the U.S. and States: 2017 | This dataset presents statistics for Health Care and Social Assistance: Sales, Value of Shipments, or Revenue by Type of Payer for the U.S. and States | 2017 | ecntypepayer | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecntypepayer |
| Economic Census: Wholesale Trade: Detailed Type of Operation for the U.S.: 2017 | This dataset presents statistics for Wholesale Trade: Detailed Type of Operation for the U.S. | 2017 | ecntypop | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecntypop |
| Economic Census: Construction: Value of Construction Work for Location of Construction Work for U.S. and States: 2017 | This dataset presents statistics for Construction: Value of Construction Work for Location of Construction Work for U.S. and States | 2017 | ecnvalcon | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/ecnvalcon |
| 2017 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. | 2017 | intltrade› imp_exp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/intltrade/imp_exp |
| Annual 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). | 2017 | nonemp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/nonemp |
| Vintage 2017 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 // 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., V2016) 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. | 2017 | pep› charage | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/pep/charage |
| Vintage 2017 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, 2017 // 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. | 2017 | pep› charagegroups | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/pep/charagegroups |
| Vintage 2017 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, 2017 // 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 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. | 2017 | pep› components | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/pep/components |
| Vintage 2017 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., V2015) 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. | 2017 | pep› housing | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/pep/housing |
| Vintage 2017 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, 2017 // 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. | 2017 | pep› natmonthly | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/pep/natmonthly |
| Vintage 2017 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, 2017 // 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. | 2017 | pep› population | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/pep/population |
| National Population Projections: Projected Population by Age Group, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | Projected Population by Age Group, Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // 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. // The projections generally do not precisely agree with population estimates available elsewhere on the Census Bureau website for methodological reasons. Where both estimates and projections are available for a given time reference, it is recommended that you use the population estimates as the measure of the current population. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html. | 2017 | popproj› agegroups | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/popproj/agegroups |
| National Population Projections: Projected Births by Sex, Race, and Hispanic Origin for the United States: 2016-2060 | Projected Births by Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. All projected births are considered native born. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html. | 2017 | popproj› births | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/popproj/births |
| National Population Projections: Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | Projected Deaths by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html. | 2017 | popproj› deaths | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/popproj/deaths |
| National Population Projections: Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin, and Nativity for the United States: 2016-2060 | Projected Population by Single Year of Age, Sex, Race, Hispanic Origin, and Nativity for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html. | 2017 | popproj› nat | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/popproj/nat |
| National Population Projections: Projected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | Projected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-surveys/popproj.html. | 2017 | popproj› nim | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/popproj/nim |
| National Population Projections: Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016 to 2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // 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. // The projections generally do not precisely agree with population estimates available elsewhere on the Census Bureau website for methodological reasons. Where both estimates and projections are available for a given time reference, it is recommended that you use the population estimates as the measure of the current population. // For detailed information about the methods used to create the population projections, see https://www2.census.gov/programs-surveys/popproj/technical-documentation/methodology/methodstatement17.pdf. // Population projections are estimates of the population for future dates. They are typically based on an estimated population consistent with the most recent decennial census and are produced using the cohort-component method. Projections illustrate possible courses of population change based on assumptions about future births, deaths, net international migration, and domestic migration. The Population Estimates and Projections Program provides additional information on its website: https://www.census.gov/programs-propproj.html | 2017 | popproj› pop | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/popproj/pop |
| 2017 County 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. | 2017 | zbp | Aggregate | geographies | variables | groups | sorts | examples | documentation | http://api.census.gov/data/2017/zbp |