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This collection serves as a draft of turning the Census API Developer's Guide into a more robust Postman documentation. It is still a work in progress, but we would love to hear any feedback about how this could be improved. You can file an issue in the project's GitHub repository that also contain's the OpenAPI spec we created.
\nThis is a collaborative effort between Metadata Technology North America and Postman
\nThroughout this documentation, you will see the {dataset} path variable. This may be a single value, like cbp, but often it may be a combination of slash-separated values, like pep/int_charage
The best way to find which dataset parameters you need is to start with a Dataset Discovery request. This will return the catalog of datasets available through the Census API, and all of the relevant information needed to work with them. All of the informational calls you see here (Variables, Geography, and Examples) are available on that page.
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| Title | \nDescription | \nVintage | \nDataset Name | \nDataset Type | \nGeography List | \nVariable List | \nGroup List | \nExamples | \nDeveloper Documentation | \nAPI Base URL | \n
|---|---|---|---|---|---|---|---|---|---|---|
| 500 datasets | \n||||||||||
| 1986 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1986 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1986/cbp\n | \n
| 1987 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1987 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1987/cbp\n | \n
| 1988 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1988 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1988/cbp\n | \n
| 1989 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1989 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1989/cbp\n | \n
| 1990 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1990 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1990/cbp\n | \n
| 1990 Population Estimates - 1990-2000 Intercensal Estimates: County Estimates by 5 Year Age Groups, Race by Sex, and Hispanic Origin | \nIntercensal Estimates of the Resident Population by Age Groups, Race by Sex, and Hispanic Origin for Counties: July 1, 1990 to July 1, 1999 // Source: U.S. Census Bureau, Population Division // For detailed information about the methods used to create the intercensal population estimates, see https://www.census.gov/popest/methodology/intercensal_nat_meth.pdf. // The Census Bureau's Population Estimates Program produces intercensal estimates each decade by adjusting the existing time series of postcensal estimates for a decade to smooth the transition from one decennial census count to the next. They differ from the postcensal estimates that are released annually because they rely on a formula that redistributes the difference between the April 1 postcensal estimate and April 1 census count for the end of the decade across the estimates for that decade. Meanwhile, the postcensal estimates incorporate current data on births, deaths, and migration to produce each new vintage of estimates, and to revise estimates for years back to the last census. The Population Estimates Program provides additional information including historical and postcensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html. | \n1990 | \npep\n › int_charagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1990/pep/int_charagegroups\n | \n
| 1990 Population Estimates - 1990-2000 Intercensal Estimates: United States Civilian Population Estimates by Age and Sex | \nMonthly Intercensal Estimates of the Civilian Population by Single Year of Age and Sex: April 1, 1990 to April 1, 2000 // Source: U.S. Census Bureau, Population Division // For detailed information about the methods used to create the intercensal population estimates, see https://www.census.gov/popest/methodology/intercensal_nat_meth.pdf. // The Census Bureau's Population Estimates Program produces intercensal estimates each decade by adjusting the existing time series of postcensal estimates for a decade to smooth the transition from one decennial census count to the next. They differ from the postcensal estimates that are released annually because they rely on a formula that redistributes the difference between the April 1 postcensal estimate and April 1 census count for the end of the decade across the estimates for that decade. Meanwhile, the postcensal estimates incorporate current data on births, deaths, and migration to produce each new vintage of estimates, and to revise estimates for years back to the last census. The Population Estimates Program provides additional information including historical and postcensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html. | \n1990 | \npep\n › int_natcivpop\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1990/pep/int_natcivpop\n | \n
| 1990 Population Estimates - 1990-2000 Intercensal Estimates: United States Resident plus Armed Forces Overseas Population Estimates by Age and Sex | \nMonthly Intercensal Estimates of the Resident plus Armed Forces Overseas Population by Single Year of Age and Sex: April 1, 1990 to April 1, 2000 // Source: U.S. Census Bureau, Population Division // For detailed information about the methods used to create the intercensal population estimates, see https://www.census.gov/popest/methodology/intercensal_nat_meth.pdf. // The Census Bureau's Population Estimates Program produces intercensal estimates each decade by adjusting the existing time series of postcensal estimates for a decade to smooth the transition from one decennial census count to the next. They differ from the postcensal estimates that are released annually because they rely on a formula that redistributes the difference between the April 1 postcensal estimate and April 1 census count for the end of the decade across the estimates for that decade. Meanwhile, the postcensal estimates incorporate current data on births, deaths, and migration to produce each new vintage of estimates, and to revise estimates for years back to the last census. The Population Estimates Program provides additional information including historical and postcensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html. | \n1990 | \npep\n › int_natresafo\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1990/pep/int_natresafo\n | \n
| 1990 Population Estimates - 1990-2000 Intercensal Estimates: United States Resident Population Estimates by Age and Sex | \nMonthly Intercensal Estimates of the Resident Population by Single Year of Age and Sex: April 1, 1990 to April 1, 2000 // Source: U.S. Census Bureau, Population Division // For detailed information about the methods used to create the intercensal population estimates, see https://www.census.gov/popest/methodology/intercensal_nat_meth.pdf. // The Census Bureau's Population Estimates Program produces intercensal estimates each decade by adjusting the existing time series of postcensal estimates for a decade to smooth the transition from one decennial census count to the next. They differ from the postcensal estimates that are released annually because they rely on a formula that redistributes the difference between the April 1 postcensal estimate and April 1 census count for the end of the decade across the estimates for that decade. Meanwhile, the postcensal estimates incorporate current data on births, deaths, and migration to produce each new vintage of estimates, and to revise estimates for years back to the last census. The Population Estimates Program provides additional information including historical and postcensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html. | \n1990 | \npep\n › int_natrespop\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1990/pep/int_natrespop\n | \n
| 1990 Decennial Census of Population and Housing - Summary File 1: Summary File 1 | \nSummary File 1 (SF 1) contains detailed tables focusing on age, sex, households, families, and housing units. These tables provide in-depth figures by race and Hispanic origin; some tables are repeated for each of nine race/Latino groups. Counts also are provided for over forty American Indian and Alaska Native tribes and for groups within race categories. The race categories include eighteen Asian groups and twelve Native Hawaiian and Other Pacific Islander groups. Counts of persons of Hispanic origin by country of origin (twenty-eight groups) are also shown. \nSummary File 1 presents data for the United States, the 50 states, and the District of Columbia in a hierarchical sequence down to the block level for many tabulations, but only to the census tract level for others. Summaries are included for other geographic areas such as ZIP Code Tabulation Areas (ZCTAs) and Congressional districts. \nGeographic coverage for Puerto Rico is comparable to the 50 states. Data are presented in a hierarchical sequence down the block level for many tabulations, but only to the census tract level for others. Geographic areas include barrios, barrios-pueblo, subbarrios, places, census tracts, block groups, and blocks. Summaries also are included for other geographic areas such as ZIP Code Tabulation Areas (ZCTAs). Puerto Rico data will be loaded in January 2017. | \n1990 | \nsf1 | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1990/sf1\n | \n
| 1990 Decennial Census of Population and Housing - Summary File 3: Summary File 3 | \nThe census of population and housing, taken by the Census Bureau in years ending in 0 (zero). Article I of the Constitution requires that a census be taken every ten years for the purpose of reapportioning the U.S. House of Representatives. Title 13 of the U. S. Code provides the authorization for conducting the census in Puerto Rico and the Island Areas.\nAfter each decennial census, the results are released to the public in a variety of ways, including publishing multiple series of reports titled Census of Population and Housing. The abbreviation for these reports was CPH for some decades (including 1990 and 2010) and PHC for some decades (including 1970 and 2000). | \n1990 | \nsf3 | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1990/sf3\n | \n
| 1991 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1991 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1991/cbp\n | \n
| 1992 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1992 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1992/cbp\n | \n
| 1993 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1993 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1993/cbp\n | \n
| 1994 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1994 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1994/cbp\n | \n
| 1994 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n1994 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1994/zbp\n | \n
| 1995 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1995 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1995/cbp\n | \n
| 1995 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n1995 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1995/zbp\n | \n
| 1996 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1996 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1996/cbp\n | \n
| 1996 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n1996 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1996/zbp\n | \n
| 1997 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1997 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1997/cbp\n | \n
| 1997 Economic Census - All Sectors: Economy-Wide Key Statistics | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law.\nIn October through December 2012, forms were sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. | \n1997 | \newks | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1997/ewks\n | \n
| 1997 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n1997 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1997/nonemp\n | \n
| 1997 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n1997 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1997/zbp\n | \n
| 1998 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1998 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1998/cbp\n | \n
| 1998 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n1998 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1998/nonemp\n | \n
| 1998 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n1998 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1998/zbp\n | \n
| 1999 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n1999 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1999/cbp\n | \n
| 1999 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n1999 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1999/nonemp\n | \n
| 1999 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n1999 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/1999/zbp\n | \n
| 2000 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2000 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/cbp\n | \n
| Decennial Census: American Samoa Summary File | \nThe American Samoa Summary File contains detailed demographic, social, economic, and housing data asked of all people and about every housing unit. | \n2000 | \ndec\n › as\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/dec/as\n | \n
| Decennial Census: 110th Congressional District Summary File (100-Percent) | \nThe 110th Congressional District Summary File (100-percent) (110CD100) contains the 100- percent data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino, household relationship, and group quarters. Housing items include occupancy status, vacancy status, and tenure (owner occupied or renter occupied). The file contains subject content identical to that shown in Summary File 1 (SF 1). | \n2000 | \ndec\n › cd110h\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/dec/cd110h\n | \n
| Decennial Census: Guam Summary File | \nThe Guam Summary File contains detailed demographic, social, economic, and housing data asked of all people and about every housing unit. | \n2000 | \ndec\n › gu\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/dec/gu\n | \n
| Decennial Census: Commonwealth of the Northern Mariana Islands Summary File | \nThe Commonwealth of the Northern Mariana Islands Summary File contains detailed demographic, social, economic, and housing data asked of all people and about every housing unit. | \n2000 | \ndec\n › mp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/dec/mp\n | \n
| Decennial Census: Summary File 1 | \nSummary File 1 (SF 1) contains detailed tables focusing on age, sex, households, families, and housing units. These tables provide in-depth figures by race and Hispanic origin> some tables are repeated for each of nine race/Latino groups. Counts also are provided for over forty American Indian and Alaska Native tribes and for groups within race categories. The race categories include eighteen Asian groups and twelve Native Hawaiian and Other Pacific Islander groups. Counts of persons of Hispanic origin by country of origin (twenty-eight groups) are also shown.\nSummary File 1 presents data for the United States, the 50 states, and the District of Columbia in a hierarchical sequence down to the block level for many tabulations, but only to the census tract level for others. Summaries are included for other geographic areas such as ZIP Code Tabulation Areas (ZCTAs) and Congressional districts.\nGeographic coverage for Puerto Rico is comparable to the 50 states. Data are presented in a hierarchical sequence down the block level for many tabulations, but only to the census tract level for others. Geographic areas include barrios, barrios-pueblo, subbarrios, places, census tracts, block groups, and blocks. Summaries also are included for other geographic areas such as ZIP Code Tabulation Areas (ZCTAs). | \n2000 | \ndec\n › sf1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/dec/sf1\n | \n
| Decennial Census: U.S. Virgin Islands Summary File | \nThe U.S. Virgin Islands Summary File contains detailed demographic, social, economic, and housing data asked of all people and about every housing unit. | \n2000 | \ndec\n › vi\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/dec/vi\n | \n
| 2000 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2000 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/nonemp\n | \n
| 2000 Population Estimates - 2000-2010 Intercensal Estimates: Characteristics by Single Year of Age | \nAnnual Intercensal Resident Population Estimates by Single Year of Age, Sex, Race, and Hispanic Origin for the United States, and by Single Year of Age and Sex for Puerto Rico Commonwealth: April 1, 2000 to April 1, 2010 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2000 and 2010 Censuses are modified. This results in differences between the population for specific race categories shown for the 2000 and 2010 Census populations in this file versus those in original 2000 and 2010 Census data. For more information, see https://www.census.gov/popest/research/modified.html. // The April 1, 2000 Population Estimates base reflects changes to the Census 2000 population from the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the intercensal estimates, see https://www.census.gov/popest/methodology/index.html. // The intercensal estimates for 2000-2010 for the United States and Puerto Rico populations are produced by the Census Bureau's Population Estimates Program by modifying the 2000-2010 postcensal estimates prepared previously for the United States and Puerto Rico, to account for differences between the postcensal estimates for April 1, 2010 and the 2010 Census counts. The reference date for all estimates is July 1, unless otherwise specified. The Population Estimates Program provides additional information including historical and current estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html | \n2000 | \npep\n › int_charage\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/pep/int_charage\n | \n
| 2000 Population Estimates - 2000-2010 Intercensal Estimates: Characteristics by Age Groups | \nAnnual Intercensal Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin for the United States, States, and Counties, and by Age Group and Sex for Puerto Rico Commonwealth and Its Municipios: April 1, 2000 to April 1, 2010 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2000 and 2010 Censuses are modified. This results in differences between the population for specific race categories shown for the 2000 and 2010 Census populations in this file versus those in original 2000 and 2010 Census data. For more information, see http://www.census.gov/popest/research/modified.html. // The April 1, 2000 Population Estimates base reflects changes to the Census 2000 population from the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the intercensal estimates, see http://www.census.gov/popest/methodology/index.html. // The intercensal estimates for 2000-2010 for the United States and Puerto Rico populations are produced by the Census Bureau's Population Estimates Program by modifying the 2000-2010 postcensal estimates prepared previously for the United States and Puerto Rico, to account for differences between the postcensal estimates for April 1, 2010 and the 2010 Census counts. The reference date for all estimates is July 1, unless otherwise specified. The Population Estimates Program provides additional information including historical and current estimates, evaluation estimates, demographic analysis, and research papers on its website: http://www.census.gov/popest/index.html | \n2000 | \npep\n › int_charagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/pep/int_charagegroups\n | \n
| 2000 Population Estimates - 2000-2010 Intercensal Estimates: Housing Units | \nAnnual Intercensal Housing Unit Estimates for the United States, States, and Counties: April 1, 2000 to April 1, 2010 // Source: U.S. Census Bureau, Population Division // For the intercensal estimates methodology statement, see https://www.census.gov/popest/methodology/index.html. // The intercensal estimates for 2000-2010 for the United States housing units are produced by the Census Bureau's Population Estimates Program by modifying the 2000-2010 postcensal estimates prepared previously for the United States to account for differences between the postcensal estimates for April 1, 2010 and the 2010 Census counts. The reference date for all estimates is July 1, unless otherwise specified. The Population Estimates Program provides additional information including historical and current estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html | \n2000 | \npep\n › int_housingunits\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/pep/int_housingunits\n | \n
| 2000 Population Estimates - 2000-2010 Intercensal Estimates: National Monthly Population Estimates | \nMonthly Intercensal Population Estimates for the United States: April 1, 2000 to April 1, 2010 // Source: U.S. Census Bureau, Population Division // Note: The April 1, 2000 Population Estimates base reflects changes to the Census 2000 population from the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the intercensal estimates, see https://www.census.gov/popest/methodology/index.html. // The intercensal estimates for 2000-2010 for the United States and Puerto Rico populations are produced by the Census Bureau's Population Estimates Program by modifying the 2000-2010 postcensal estimates prepared previously for the United States and Puerto Rico, to account for differences between the postcensal estimates for April 1, 2010 and the 2010 Census counts. The reference date for all estimates is July 1, unless otherwise specified. The Population Estimates Program provides additional information including historical and current estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html | \n2000 | \npep\n › int_natmonthly\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/pep/int_natmonthly\n | \n
| 2000 Population Estimates - 2000-2010 Intercensal Estimates: Population | \nAnnual Intercensal Population Estimates for United States, States, Counties, and Subcounty Places, and for Puerto Rico and Its Municipios: April 1, 2000 to April 1, 2010 // Source: U.S. Census Bureau, Population Division // Note: The April 1, 2000 Population Estimates base reflects changes to the Census 2000 population from the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the intercensal estimates, see https://www.census.gov/popest/methodology/index.html. // The intercensal estimates for 2000-2010 for the United States and Puerto Rico populations are produced by the Census Bureau's Population Estimates Program by modifying the 2000-2010 postcensal estimates prepared previously for the United States and Puerto Rico, to account for differences between the postcensal estimates for April 1, 2010 and the 2010 Census counts. The reference date for all estimates is July 1, unless otherwise specified. The Population Estimates Program provides additional information including historical and current estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html | \n2000 | \npep\n › int_population\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/pep/int_population\n | \n
| 2000 Decennial: Summary File 1 | \nData files available from Census 2000 and the 2010 Census. This file presents 100-percent population and housing figures for the total population, for 63 race categories, and for many other race and Hispanic or Latino categories. This includes age, sex, households, household relationship, housing units, occupancy status, and tenure (whether the residence is owned or rented). Also included are selected characteristics for a limited number of race and Hispanic or Latino categories. The data are available for the U.S., regions, divisions, states, counties, county subdivisions, places, census tracts, block groups, blocks, metropolitan areas (2000), core based statistical areas (2010), American Indian and Alaska Native areas, tribal subdivisions, Hawaiian home lands, congressional districts, and ZIP Code Tabulation Areas. Data are available down to the block level for many tabulations, but only to the census-tract level for others. The 2010 Census SF 1 has some tables on the population in group quarters that are available only to the county level. Available on DVD and American FactFinder.\n\nThe Census 2000 Summary File 1 data were released in three stages. Individual state files and two national files were released. The state-level data were released first, followed by the Advance National File, which covered the same data subjects, but includes national level summary data for areas that cross state boundaries such as whole metropolitan areas, whole American Indian areas, etc. The Final National File contains the same data subjects and geographic areas as the Advance National File, but adds the first available urban/rural and urbanized area data. For the most current release dates for these files, see the \"Census 2000 Release Schedule\" link on the AFFAmerican FactFinder Main Page.\n\nThe 2010 Census Summaray File 1 data were released in stages. Individual state files and a national update were released in 2011. The SF 1 urban/rural update is planned for release in Fall 2012. This file contains the same data subjects as the previously released files, but for additional geography, including the urban and rural parts of the United States, regions, divisions, states, counties, and places; and urbanized areas and urban clusters. See the 2010 Census Data Products At A Glance | \n2000 | \nsf1 | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/sf1\n | \n
| 2000 Decennial: Summary File 3 | \nThis Census 2000 file presents data on the population and housing long form subjects such as income and education. It includes population totals for ancestry groups. It also includes selected characteristics for a limited number of race and Hispanic or Latino categories. The data are available for the U.S., regions, divisions, states, counties, county subdivisions, places, census tracts, block groups, metropolitan areas, American Indian and Alaska Native areas, tribal subdivisions, Hawaiian home lands, congressional districts, and Zip Code Tabulation Areas. Available on CD-ROM, DVD, and American FactFinder.\n\nAfter Census 2000, data on these subjects were produced from the American Community Survey or the Puerto Rico Community Survey. | \n2000 | \nsf3 | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/sf3\n | \n
| 2000 Decennial Census of Population and Housing: Surnames | \nThe Census Bureau's Census surnames product is a data release based on names recorded in the decennial census. The product contains rank and frequency data on surnames reported 100 or more times in the decennial census, along with Hispanic origin and race category percentages. The latter are suppressed where necessary for confidentiality. The data focus on summarized aggregates of counts and characteristics associated with surnames, and the data do not in any way identify any specific individuals. | \n2000 | \nsurname | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/surname\n | \n
| 2000 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2000 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2000/zbp\n | \n
| 2001 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2001 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2001/cbp\n | \n
| 2001 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2001 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2001/nonemp\n | \n
| 2001 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2001 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2001/zbp\n | \n
| 2002 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2002 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2002/cbp\n | \n
| 2002 Economic Census - All Sectors: Economy-Wide Key Statistics | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law.\nIn October through December 2012, forms were sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. | \n2002 | \newks | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2002/ewks\n | \n
| 2002 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2002 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2002/nonemp\n | \n
| 2002 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2002 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2002/zbp\n | \n
| 2003 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2003 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2003/cbp\n | \n
| 2003 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2003 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2003/nonemp\n | \n
| 2003 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2003 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2003/zbp\n | \n
| 2004 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2004 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2004/cbp\n | \n
| 2004 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2004 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2004/nonemp\n | \n
| 2004 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2004 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2004/zbp\n | \n
| American Community Survey: 1-Year Estimates: Detailed Tables 1-Year | \nThe 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. | \n2005 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2005/acs/acs1\n | \n
| American Community Survey: 1-Year Estimates: Data Profiles 1-Year | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2005 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2005/acs/acs1/profile\n | \n
| 2005 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2005 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2005/cbp\n | \n
| 2005 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2005 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2005/nonemp\n | \n
| 2005 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2005 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2005/zbp\n | \n
| American Community Survey: 1-Year Estimates: Detailed Tables 1-Year | \nThe 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. | \n2006 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2006/acs/acs1\n | \n
| American Community Survey: 1-Year Estimates: Data Profiles 1-Year | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2006 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2006/acs/acs1/profile\n | \n
| 2006 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2006 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2006/nonemp\n | \n
| 2006 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2006 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2006/zbp\n | \n
| American Community Survey: 1-Year Estimates: Detailed Tables 1-Year | \nThe 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. | \n2007 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/acs/acs1\n | \n
| American Community Survey: 1-Year Estimates: Data Profiles 1-Year | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2007 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/acs/acs1/profile\n | \n
| American Community Survey: 3-Year Estimates: Detailed Tables 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2007 | \nacs\n › acs3\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/acs/acs3\n | \n
| American Community Survey: 3-Year Estimates: Data Profiles 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2007 | \nacs\n › acs3\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/acs/acs3/profile\n | \n
| 2007 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2007 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/cbp\n | \n
| 2007 Economic Census - All Sectors: Economy-Wide Key Statistics | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law.\nIn October through December 2012, forms were sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. | \n2007 | \newks | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/ewks\n | \n
| 2007 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2007 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/nonemp\n | \n
| 2007 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2007 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2007/zbp\n | \n
| American Community Survey: 1-Year Estimates: Detailed Tables 1-Year | \nThe 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. | \n2008 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/acs/acs1\n | \n
| American Community Survey: 1-Year Estimates: Data Profiles 1-Year | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2008 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nThe 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 file, Subject tables, Data profiles, and Comparison profiles are available 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. Selected Population Profiles provide an overview of the estimates available across a range of topics for detailed population groups. The data are presented as population counts and percentages. There are over 300 variables in this dataset. | \n2008 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/acs/acs1/spp\n | \n
| American Community Survey: 3-Year Estimates: Detailed Tables 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2008 | \nacs\n › acs3\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/acs/acs3\n | \n
| American Community Survey: 3-Year Estimates: Data Profiles 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2008 | \nacs\n › acs3\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/acs/acs3/profile\n | \n
| 2008 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2008 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/cbp\n | \n
| 2008 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2008 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/nonemp\n | \n
| 2008 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2008 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2008/zbp\n | \n
| American Community Survey: 1-Year Estimates: Detailed Tables 1-Year | \nThe 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. | \n2009 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs1\n | \n
| American Community Survey: 1-Year Estimates: Data Profiles 1-Year | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2009 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nThe 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 file, Subject tables, Data profiles, and Comparison profiles are available 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. Selected Population Profiles provide an overview of the estimates available across a range of topics for detailed population groups. The data are presented as population counts and percentages. There are over 300 variables in this dataset. | \n2009 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs1/spp\n | \n
| American Community Survey: 3-Year Estimates: Detailed Tables 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2009 | \nacs\n › acs3\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs3\n | \n
| American Community Survey: 3-Year Estimates: Data Profiles 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2009 | \nacs\n › acs3\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs3/profile\n | \n
| American Community Survey: 3-Year Estimates: Selected Population Profiles 3-Year | \nThe 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 file, Subject tables, Data profiles, and Comparison profiles are available 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. Selected Population Profiles provide an overview of the estimates available across a range of topics for detailed population groups. The data are presented as population counts and percentages. There are over 300 variables in this dataset. | \n2009 | \nacs\n › acs3\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs3/spp\n | \n
| American Community Survey: 5-Year Estimates: Detailed Tables 5-Year | \nThe 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 (114th 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. | \n2009 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs5\n | \n
| American Community Survey: 5-Year Estimates: Data Profiles 5-Year | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2009 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/acs5/profile\n | \n
| 2005-2009 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2009 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs/flows\n | \n
| 2005-2009 American Community Survey 5-Year Estimates | \nThe 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 (114th 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. | \n2009 | \nacs5 | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/acs5\n | \n
| 2009 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2009 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/cbp\n | \n
| 2009 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2009 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/nonemp\n | \n
| 2009 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2009 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2009/zbp\n | \n
| ACS 1-Year Detailed Tables | \nThe 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. The 2012 data provide key estimates for each of the topic areas covered by the ACS 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. 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. | \n2010 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs1\n | \n
| ACS 1-Year Comparison Profiles | \nThe 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. | \n2010 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. The data profiles provide key estimates for each of the topic areas covered by the ACS 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. 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. | \n2010 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nSelected 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. | \n2010 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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.\n\nSummary file, 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.\n\nSubject tables provide an overview of the estimates available in a particular topic. The data are presented as population counts and percentages. There are over 66,000 variables in this dataset. | \n2010 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs1/subject\n | \n
| American Community Survey: 3-Year Estimates: Data Profiles 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2010 | \nacs\n › acs3\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs3/profile\n | \n
| American Community Survey: 3-Year Estimates: Selected Population Profiles 3-Year | \nThe 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 file, Subject tables, Data profiles, and Comparison profiles are available 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. Selected Population Profiles provide an overview of the estimates available across a range of topics for detailed population groups. The data are presented as population counts and percentages. There are over 300 variables in this dataset. | \n2010 | \nacs\n › acs3\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs3/spp\n | \n
| American Community Survey: 3-Year Estimates: Subject Tables 3-Year | \nThe 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. | \n2010 | \nacs\n › acs3\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs3/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2010 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs5\n | \n
| American Community Survey: 5-Year Estimates: American Indian and Alaska Native Detailed Tables 5-Year | \nThe American Indian and Alaska Native (AIAN) tables are released every five years. They are available for selected tribal populations, with more detailed tribal categories compared to those in the Selected Population Tables. | \n2010 | \nacs\n › acs5\n › aian\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs5/aian\n | \n
| American Community Survey: 5-Year Estimates: American Indian and Alaska Native Data Profiles 5-Year | \nThe American Indian and Alaska Native (AIAN) tables are released every five years. They are available for selected tribal populations, with more detailed tribal categories compared to those in the Selected Population Tables. | \n2010 | \nacs\n › acs5\n › aianprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs5/aianprofile\n | \n
| ACS 5-Year Data Profiles | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2010 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs5/profile\n | \n
| American Community Survey: 5-Year Estimates: Selected Population Detailed Tables 5-Year | \nThe Selected Population Tables (SPT) are released every five years. They are available for selected race, Hispanic origin, tribal, and ancestry populations. | \n2010 | \nacs\n › acs5\n › spt\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs5/spt\n | \n
| American Community Survey: 5-Year Estimates: Selected Population Data Profiles 5-Year | \nThe Selected Population Tables (SPT) are released every five years. They are available for selected race, Hispanic origin, tribal, and ancestry populations. | \n2010 | \nacs\n › acs5\n › sptprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs5/sptprofile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2010 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/acs5/subject\n | \n
| 2006-2010 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2010 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/acs/flows\n | \n
| 2010 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2010 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/cbp\n | \n
| Decennial Census: American Indian and Alaska Native Summary File | \nThe AIAN Summary File contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The American Indian and Alaska Native Summary File (AIANSF) contains data on population characteristics, such as sex, age, average household size, household type, and relationship to householder. The file also includes housing characteristics, such as tenure (whether a housing unit is owner-occupied or renter- occupied) and age of householder for occupied housing units. Selected aggregates and medians also are provided. A complete listing of subjects in the AIANSF is found in Chapter 3, Subject Locator. The layout of the tables in the AIANSF is similar to that in Summary File 2 (SF 2). These data are presented in 47 population tables (identified with a \"PCT\") and 14 housing tables (identified with an \"HCT\") shown down to the census tract level; and 10 population tables (identified with a \"PCO\") shown down to the county level, for a total of 71 tables. \n\nEach table is iterated for the total population, the total American Indian and Alaska Native population alone, the total American Indian and Alaska Native population alone or in combination, and 1,567 detailed tribes and tribal groupings. Tribes or tribal groupings are included on the iterations list if they met a threshold of at least 100 people in the 2010 Census. In addition, the presentation of AIANSF tables for any of the tribes and tribal groupings is subject to a population threshold of 100 or more people in a given geography. That is, if there are fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area in the AIANSF. See Appendix H, Characteristic Iterations, for more information. | \n2010 | \ndec\n › aian\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/aian\n | \n
| Decennial Census: American Samoa Summary File | \nThe American Samoa Summary File contains detailed demographic, social, economic, and housing data asked of all people and about every housing unit. | \n2010 | \ndec\n › as\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/as\n | \n
| Decennial Census: American Samoa Year of Entry File | \nThe American Samoa Year of Entry Summary File contains data on year of entry. | \n2010 | \ndec\n › asyoe\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/asyoe\n | \n
| Decennial CD113 | \nThe Congressional District Summary File contains the data compiled from the questions asked of all people and about every housing unit in the 2010 Census. The Congressional District Summary File (113th Congress) (CD113) contains the data compiled from the questions asked of all people and about every housing unit in the 2010 Census. Population items include sex, age, race, Hispanic or Latino origin, household relationship, household type, household size, family type, family size, and group quarters. Housing items include occupancy status, vacancy status, and tenure (whether a housing unit is owner-occupied or renter-occupied). The file contains subject content identical to that shown in the 2010 Census Summary File 1. | \n2010 | \ndec\n › cd113\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/cd113\n | \n
| Decennial CD115 | \nThe Congressional District Summary File contains the data compiled from the questions asked of all people and about every housing unit in the 2010 Census. | \n2010 | \ndec\n › cd115\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/cd115\n | \n
| Decennial Congressional District 116 | \nThe Congressional District Summary File contains data compiled from the questions asked of all people and about every housing unit in the 2010 Census. | \n2010 | \ndec\n › cd116\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/cd116\n | \n
| Decennial Census: Guam Year of Entry File | \nThe Guam Year of Entry Summary File contains data on year of entry. | \n2010 | \ndec\n › guyoe\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/guyoe\n | \n
| Decennial Census: Commonwealth of the Northern Mariana Islands Year of Entry File | \nThe Commonwealth of the Northern Mariana Islands Year of Entry Summary File contains data on year of entry. | \n2010 | \ndec\n › mpyoe\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/mpyoe\n | \n
| Decennial Census: Redistricting Data (PL 94-171) | \nPublic Law 94-171, enacted in 1975, directs the Census Bureau to make special preparations to provide redistricting data needed by the 50 states. It specifies that within a year following Census Day, the Census Bureau must send the governor and legislative leadership in each state the data they need to redraw congressional and state legislative districts. To meet this legal requirement, the Census Bureau set up a program that affords the states an opportunity before each decennial census to define the small areas for which they wish to receive census population totals for redistricting. Officials may receive data for voting districts (e.g., election precincts, wards) and state house and senate districts, in addition to standard census geographic areas such as counties, cities, census tracts, and tabulation blocks. State participation in defining areas is voluntary and nonpartisan. | \n2010 | \ndec\n › pl\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/pl\n | \n
| Decennial Census: Decennial Self-Reponse Rate | \nFinal 2010 Self-Response Rates | \n2010 | \ndec\n › responserate\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/responserate\n | \n
| Decennial SF1 | \nSummary File 1 (SF 1) contains detailed tables focusing on age, sex, households, families, and housing units. These tables provide in-depth figures by race and Hispanic origin> some tables are repeated for each of nine race/Latino groups. Counts also are provided for over forty American Indian and Alaska Native tribes and for groups within race categories. The race categories include eighteen Asian groups and twelve Native Hawaiian and Other Pacific Islander groups. Counts of persons of Hispanic origin by country of origin (twenty-eight groups) are also shown.\nSummary File 1 presents data for the United States, the 50 states, and the District of Columbia in a hierarchical sequence down to the block level for many tabulations, but only to the census tract level for others. Summaries are included for other geographic areas such as ZIP Code Tabulation Areas (ZCTAs) and Congressional districts.\nGeographic coverage for Puerto Rico is comparable to the 50 states. Data are presented in a hierarchical sequence down the block level for many tabulations, but only to the census tract level for others. Geographic areas include barrios, barrios-pueblo, subbarrios, places, census tracts, block groups, and blocks. Summaries also are included for other geographic areas such as ZIP Code Tabulation Areas (ZCTAs). | \n2010 | \ndec\n › sf1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/sf1\n | \n
| Decennial SF2 | \nSummary File 2 (SF 2) contains the data compiled from the questions asked of all people and about every housing unit. Summary File 2 (SF 2) contains the data compiled from the questions asked of all people and about every housing unit. SF 2 includes population characteristics, such as sex, age, average household size, household type, and relationship to householder such as nonrelative or child. The file includes housing characteristics, such as tenure (whether a housing unit is owner-occupied or renter-occupied), age of householder, and household size for occupied housing units. Selected aggregates and medians also are provided | \n2010 | \ndec\n › sf2\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/dec/sf2\n | \n
| 2010 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2010 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/nonemp\n | \n
| 2010 Decennial Census of Population and Housing: Surnames | \nThe Census Bureau's Census surnames product is a data release based on names recorded in the decennial census. The product contains rank and frequency data on surnames reported 100 or more times in the decennial census, along with Hispanic origin and race category percentages. The latter are suppressed where necessary for confidentiality. The data focus on summarized aggregates of counts and characteristics associated with surnames, and the data do not in any way identify any specific individuals. | \n2010 | \nsurname | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/surname\n | \n
| 2010 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2010 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2010/zbp\n | \n
| ACS 1-Year Detailed Tables | \nThe 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. The 2012 data provide key estimates for each of the topic areas covered by the ACS 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. 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. | \n2011 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs1\n | \n
| ACS 1-Year Comparison Profiles | \nThe 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. | \n2011 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. The data profiles provide key estimates for each of the topic areas covered by the ACS 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. 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. | \n2011 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nSelected 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. | \n2011 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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. | \n2011 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs1/subject\n | \n
| American Community Survey: 3-Year Estimates: Detailed Tables 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2011 | \nacs\n › acs3\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs3\n | \n
| American Community Survey: 3-Year Estimates: Data Profiles 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2011 | \nacs\n › acs3\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs3/profile\n | \n
| American Community Survey: 3-Year Estimates: Selected Population Profiles 3-Year | \nThe 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 file, Subject tables, Data profiles, and Comparison profiles are available 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. Selected Population Profiles provide an overview of the estimates available across a range of topics for detailed population groups. The data are presented as population counts and percentages. There are over 300 variables in this dataset. | \n2011 | \nacs\n › acs3\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs3/spp\n | \n
| American Community Survey: 3-Year Estimates: Subject Tables 3-Year | \nThe 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. | \n2011 | \nacs\n › acs3\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs3/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2011 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs5\n | \n
| ACS 5-Year Data Profile | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2011 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs5/profile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2011 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/acs5/subject\n | \n
| 2007-2011 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2011 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs/flows\n | \n
| 2011 American Community Survey 1-Year Profiles for the 113th Congressional Districts | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2011 | \nacs1\n › cd113\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/acs1/cd113\n | \n
| 2011 County Business Patterns: Business Patterns | \nCounty Business Patterns (CBP) is an annual series that provides economic data by industry at the U.S., State, County and Metropolitan Area levels. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. CBP provides statistics for businesses with paid employees for the U.S., Puerto Rico, and the Island Areas. Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date. | \n2011 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/cbp\n | \n
| 2011 Nonemployer Statistics: Non Employer Statistics | \nNonemployer Statistics is an annual series that provides subnational economic data for businesses that have no paid employees and are subject to federal income tax. The data consist of the number of businesses and total receipts by industry. Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income.\nThe majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. | \n2011 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/nonemp\n | \n
| 2011 County Business Patterns - Zip Code Business Patterns: Total For Zip Code | \nZIP 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 by 5-digit ZIP Code. All Industries is set using SIC=00 from 1994 to 1997 and then with NAICS=00 from 1998 to present. | \n2011 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2011/zbp\n | \n
| ACS 1-Year Detailed Tables | \nThe 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. The 2012 data provide key estimates for each of the topic areas covered by the ACS 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. 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. | \n2012 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs1\n | \n
| ACS 1-Year Comparison Profiles | \nThe 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. | \n2012 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2012 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nSelected 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. | \n2012 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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. | \n2012 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs1/subject\n | \n
| American Community Survey: 3-Year Estimates: Detailed Tables 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2012 | \nacs\n › acs3\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs3\n | \n
| American Community Survey: 3-Year Estimates: Comparison Profiles 3-Year | \nThe 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 and all places with a population of 5,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with prior 5-Year data and include statistical significance testing. There are over 3,000 variables in this dataset. | \n2012 | \nacs\n › acs3\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs3/cprofile\n | \n
| American Community Survey: 3-Year Estimates: Data Profiles 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2012 | \nacs\n › acs3\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs3/profile\n | \n
| American Community Survey: 3-Year Estimates: Selected Population Profiles 3-Year | \nThe 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 file, Subject tables, Data profiles, and Comparison profiles are available 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. Selected Population Profiles provide an overview of the estimates available across a range of topics for detailed population groups. The data are presented as population counts and percentages. There are over 300 variables in this dataset. | \n2012 | \nacs\n › acs3\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs3/spp\n | \n
| American Community Survey: 3-Year Estimates: Subject Tables 3-Year | \nThe 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. | \n2012 | \nacs\n › acs3\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs3/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2012 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs5\n | \n
| ACS 5-Year Data Profiles | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2012 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs5/profile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2012 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/acs5/subject\n | \n
| 2008-2012 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2012 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/acs/flows\n | \n
| 2012 County Business Patterns | \nCounty 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. | \n2012 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/cbp\n | \n
| Economic Census: Economic Census of the United States: Commodity Flow Survey Geographic Area Data | \nThe 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 Geographic Area Series, including Temperature Control. | \n2012 | \ncfsarea | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/cfsarea\n | \n
| Economic Census: Economic Census of the United States: Commodity Flow Survey Export Data | \nThe 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 Exports Series. | \n2012 | \ncfsexport | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/cfsexport\n | \n
| Economic Census: Economic Census of the United States: Commodity Flow Survey Hazmat Data | \nThe 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 Hazardous Materials Series, including Temperature Control. | \n2012 | \ncfshazmat | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/cfshazmat\n | \n
| Economic Census: Commodity Flow Survey Preliminary Data | \nThe 2017 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. | \n2012 | \ncfsprelim | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/cfsprelim\n | \n
| Economic Census: Economic Census of Island Areas | \nEvery 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. | \n2012 | \necn\n › islandareas\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecn/islandareas\n | \n
| Economic Census: Economic Census of Island Areas | \nEvery 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. | \n2012 | \necn\n › islandareas\n › comp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecn/islandareas/comp\n | \n
| Economic Census: Economic Census of Island Areas | \nThis 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. | \n2012 | \necn\n › islandareas\n › ind\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecn/islandareas/ind\n | \n
| Economic Census: Economic Census of Island Areas | \nEvery 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. | \n2012 | \necn\n › islandareas\n › lines\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecn/islandareas/lines\n | \n
| Finance and Insurance: Subject Series - Misc Subjects: Administrative Expenses and Benefits Paid for Life, Health, and Medical Insurance Carriers for the U.S.: 2012 | \nFinance and Insurance: Subject Series - Misc Subjects: Administrative Expenses and Benefits Paid for Life, Health, and Medical Insurance Carriers for the U.S.: 2012. | \n2012 | \necnadmben | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnadmben\n | \n
| 2012 Economic Census - Economic Census US Basic Data | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. | \n2012 | \necnbasic | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnbasic\n | \n
| Finance and Insurance: Subject Series - Misc Subjects: Brokering and Dealing Services Income for the U.S.: 2012 | \nFinance and Insurance: Subject Series - Misc Subjects: Brokering and Dealing Services Income for the U.S.: 2012. | \n2012 | \necnbranddeal | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnbranddeal\n | \n
| All sectors: Core Business Statistics Series: Industry Bridge Statistics on 2012 NAICS Basis With Distribution Among 2007 NAICS-Based Industries for the United States: 2012 | \nAll sectors: Core Business Statistics Series: Industry Bridge Statistics on 2012 NAICS Basis With Distribution Among 2007 NAICS-Based Industries for the United States: 2012. | \n2012 | \necnbridge1 | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnbridge1\n | \n
| All sectors: Core Business Statistics Series: Industry Bridge Statistics on 2007 NAICS Basis With Distribution Among 2012 NAICS-Based Industries for the United States: 2012 | \nAll sectors: Core Business Statistics Series: Industry Bridge Statistics on 2007 NAICS Basis With Distribution Among 2012 NAICS-Based Industries for the United States: 2012. | \n2012 | \necnbridge2 | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnbridge2\n | \n
| Finance and Insurance: Subject Series - Misc Subjects: Brokering or Dealing Services Income for the U.S.: 2012 | \nFinance and Insurance: Subject Series - Misc Subjects: Brokering or Dealing Services Income for the U.S.: 2012. | \n2012 | \necnbrordeal | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnbrordeal\n | \n
| Other Services (Except Public Administration): Subject Series - Misc Subjects: Receipts/Revenue from Repayments of Cash Advances for the U.S.: 2012 | \nOther Services (Except Public Administration) : Subject Series - Misc Subjects: Receipts/Revenue from Repayments of Cash Advances for the U.S.: 2012. | \n2012 | \necncashadv | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecncashadv\n | \n
| Finance and Insurance: Subject Series - Misc Subjects: Credit Card Services Income for the U.S.: 2012 | \nFinance and Insurance: Subject Series - Misc Subjects: Credit Card Services Income for the U.S.: 2012. | \n2012 | \necnccard | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnccard\n | \n
| 2012 Economic Census - Economic Census US Economic Class of Customer | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents data for a variety of industry-specific topics for establishments of firms with payroll. Presentation of data varies by kind of business. | \n2012 | \necnclcust | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnclcust\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Sales and Commissions of Electronic Markets, Agents, Brokers, and Commission Merchants for the U.S.: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Sales and Commissions of Electronic Markets, Agents, Brokers, and Commission Merchants for the U.S.: 2012. | \n2012 | \necncomm | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecncomm\n | \n
| All sectors: Core Business Statistics Series: Comparative Statistics for the U.S. and the States (2007 NAICS Basis): 2012 and 2007 | \nAll sectors: Core Business Statistics Series: Comparative Statistics for the U.S. and the States (2007 NAICS Basis): 2012 and 2007. | \n2012 | \necncomp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecncomp\n | \n
| Subject Series - Misc Subjects: Construction Activity for Selected Industries for the selected geographies: 2012 | \nSubject Series - Misc Subjects: Construction Activity for Selected Industries for the selected geographies: 2012. | \n2012 | \necnconact | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnconact\n | \n
| Accommodation and Food Services: Subject Series - Misc Subjects: Concession Operators for the U.S. and States: 2012 | \nAccommodation and Food Services: Subject Series - Misc Subjects: Concession Operators for the U.S. and States: 2012. | \n2012 | \necnconcess | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnconcess\n | \n
| Finance and Insurance: Subject Series - Misc Subjects: Types of Credit Financing Services Income for the U.S.: 2012 | \nFinance and Insurance: Subject Series - Misc Subjects: Types of Credit Financing Services Income for the U.S.: 2012. | \n2012 | \necncrfin | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecncrfin\n | \n
| Information: Subject Series - Misc Subjects: Receipts by type of Dissemination Media for the U.S.: 2012 | \nInformation: Subject Series - Misc Subjects: Receipts by type of Dissemination Media for the U.S.: 2012. | \n2012 | \necndissmed | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecndissmed\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Employment by Primary Function for the U.S.: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Employment by Primary Function for the U.S.: 2012. | \n2012 | \necnempfunc | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnempfunc\n | \n
| 2012 Economic Census - Economic Census US Enterprise Support | \nEconomic Census Summary Statistics for Enterprise Support Establishments by Industry | \n2012 | \necnentsup | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnentsup\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: End-of-Year Inventories for the U.S.: 2012 and 2011 | \nWholesale Trade: Subject Series - Misc Subjects: End-of-Year Inventories for the U.S.: 2012 and 2011. | \n2012 | \necneoyinv | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecneoyinv\n | \n
| Transportation and Warehousing: Subject Series - Misc Subjects: End-of-Year Inventories for the U.S.: 2012 and 2011 | \nTransportation and Warehousing: Subject Series - Misc Subjects: End-of-Year Inventories for the U.S.: 2012 and 2011. | \n2012 | \necneoyinvwh | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecneoyinvwh\n | \n
| Transportation and Warehousing: Subject Series - Misc Subjects: Revenue-Generating Equipment for Passenger Transportation for the U.S. and States: 2012 | \nTransportation and Warehousing: Subject Series - Misc Subjects: Revenue-Generating Equipment for Passenger Transportation for the U.S. and States: 2012. | \n2012 | \necnequip | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnequip\n | \n
| Utilities: Subject Series - Misc Subjects: Exported Energy to Canada and Mexico for the U.S.: 2012 | \nUtilities: Subject Series - Misc Subjects: Exported Energy to Canada and Mexico for the U.S.: 2012. | \n2012 | \necnexpnrg | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnexpnrg\n | \n
| 2012 Economic Census - Economic Census Exported Services Data | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents data for exported services for selected industries. | \n2012 | \necnexpsvc | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnexpsvc\n | \n
| Retail Trade: Subject Series - Misc Subjects:States: Floor Space by Selected Industry for the U.S. and States: 2012 | \nRetail Trade: Subject Series - Misc Subjects: Floor Space by Selected Industry for the U.S. and States: 2012. | \n2012 | \necnflspace | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnflspace\n | \n
| Accommodation and Food Services: Subject Series - Misc Subjects: Primary Type of Food Service for the U.S. and States: 2012 | \nAccommodation and Food Services: Subject Series - Misc Subjects: Primary Type of Food Service for the U.S. and States: 2012. | \n2012 | \necnfoodsvc | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnfoodsvc\n | \n
| Core Business Statistics Series, 2012: Franchise Status for Selected Industries and States | \nCore Business Statistics Series, 2012: Franchise Status for Selected Industries and States | \n2012 | \necnfran | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnfran\n | \n
| Health Care and Social Assistance: Subject Series - Misc Subjects: Grants, Transferred Contributions and Similar Payments, with Net Expenses for the U.S.: 2012 | \nHealth Care and Social Assistance: Subject Series - Misc Subjects: Grants, Transferred Contributions and Similar Payments, with Net Expenses for the U.S.: 2012. | \n2012 | \necngrant | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecngrant\n | \n
| Accommodation and Food Services: Subject Series - Misc Subjects: Number of Guestrooms for the U.S. and States: 2012 | \nAccommodation and Food Services: Subject Series - Misc Subjects: Number of Guestrooms for the U.S. and States: 2012. | \n2012 | \necnguest | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnguest\n | \n
| Accommodation and Food Services: Subject Series - Misc Subjects: Guestroom Size of Establishments for the U.S.: 2012 | \nAccommodation and Food Services: Subject Series - Misc Subjects: Guestroom Size of Establishments for the U.S. and States: 2012. | \n2012 | \necnguestsize | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnguestsize\n | \n
| Health Care and Social Assistance: Subject Series - Misc Subjects: Ownership and Control of Government Hospitals for the U.S.: 2012 | \nHealth Care and Social Assistance: Subject Series - Misc Subjects: Ownership and Control of Government Hospitals for the U.S.: 2012. | \n2012 | \necnhosp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnhosp\n | \n
| Manufacturing: Summary Series: General Summary: Method of Inventory Valuation by Subsector and Industries: 2012 | \nManufacturing: Summary Series: General Summary: Method of Inventory Valuation by Subsector and Industries: 2012. | \n2012 | \necninvval | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecninvval\n | \n
| 2012 Economic Census - Economic Census US Industry Products Analysis | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents company, establishments, value of shipments, value of product shipments, percentage of product shipments of the total value of shipments, and percentage of distribution of value of product shipments. | \n2012 | \necnipa | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnipa\n | \n
| Construction: Summary Series: General Summary: Value of Business Done for Kind-of-Business by Subsectors and Industries for U.S., Regions, and States: 2012 | \nConstruction: Summary Series: General Summary: Value of Business Done for Kind-of-Business by Subsectors and Industries for U.S., Regions, and States: 2012. | \n2012 | \necnkob | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnkob\n | \n
| Other Services (Except Public Administration): Subject Series - Misc Subjects: Receipts from Labor Charges and Parts Installed for Repair and Maintenance Services for the U.S.: 2012 | \nOther Services (Except Public Administration) : Subject Series - Misc Subjects: Receipts from Labor Charges and Parts Installed for Repair and Maintenance Services for the U.S.: 2012. | \n2012 | \necnlabor | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnlabor\n | \n
| Manufacturing: Summary Series: General Summary: Inventories with LIFO Valuation by Subsector and Industries: 2012 | \nManufacturing: Summary Series: General Summary: Inventories with LIFO Valuation by Subsector and Industries: 2012. | \n2012 | \necnlifomfg | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnlifomfg\n | \n
| Mining: Summary Series: General Summary: Inventories with LIFO Valuation by Subsector and Industries: 2012 | \nMining: Summary Series: General Summary: Inventories with LIFO Valuation by Subsector and Industries: 2012. | \n2012 | \necnlifomine | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnlifomine\n | \n
| Management of Companies and Enterprises: Subject Series - Misc Subjects: Inventories with LIFO Valuation for the U.S.: 2012 and 2011 | \nManagement of Companies and Enterprises: Subject Series - Misc Subjects: Inventories with LIFO Valuation for the U.S.: 2012 and 2011. | \n2012 | \necnlifoval | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnlifoval\n | \n
| 2012 Economic Census - Economic Census Product Lines Data | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents data on major categories of products sold/services rendered for establishments of firms with payroll by kind of business. | \n2012 | \necnlines | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnlines\n | \n
| Finance and Insurance: Subject Series - Misc Subjects: Type of Loan Services Income for the U.S.: 2012 | \nFinance and Insurance: Subject Series - Misc Subjects: Type of Loan Services Income for the U.S.: 2012. | \n2012 | \necnloan | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnloan\n | \n
| Manufacturing: Subject Series: Location of Manufacturing Plants: Employment Size for Subsectors and Industries by U.S., State, County and Place: 2012 | \nManufacturing: Subject Series: Location of Manufacturing Plants: Employment Size for Subsectors and Industries by U.S., State, County and Place: 2012. | \n2012 | \necnlocmfg | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnlocmfg\n | \n
| Mining: Subject Series: Location of Mines: Employment Size for Subsectors and Industries by U.S., State, and Offshore Area: 2012 | \nMining: Subject Series: Location of Mines: Employment Size for Subsectors and Industries by U.S., State, and Offshore Area: 2012. | \n2012 | \necnlocmine | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnlocmine\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Gross Margin and its Components for Merchant Wholesalers for the U.S.: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Gross Margin and its Components for Merchant Wholesalers for the U.S.: 2012. | \n2012 | \necnmargin | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnmargin\n | \n
| Mining: Subject Series: Materials Summary: Selected Supplies, Minerals Received for Preparation, Purchased Machinery, and Fuels Consumed by Type of Industry: 2012 | \nMining: Subject Series: Materials Summary: Selected Supplies, Minerals Received for Preparation, Purchased Machinery, and Fuels Consumed by Type of Industry: 2012. | \n2012 | \necnmatfuel | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnmatfuel\n | \n
| Accommodation and Food Services: Subject Series - Misc Subjects: Average Cost Per Meal for the U.S. and States: 2012 | \nAccommodation and Food Services: Subject Series - Misc Subjects: Average Cost Per Meal for the U.S. and States: 2012. | \n2012 | \necnmealcost | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnmealcost\n | \n
| Accommodation and Food Services: Subject Series - Misc Subjects: Principal Menu Type or Specialty for the U.S. and States: 2012 | \nAccommodation and Food Services: Subject Series - Misc Subjects: Principal Menu Type or Specialty for the U.S. and States: 2012. | \n2012 | \necnmenutype | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnmenutype\n | \n
| Health Care and Social Assistance: Subject Series - Misc Subjects: Receipts/Revenue by Type of Patient Care for the U.S.: 2012 | \nHealth Care and Social Assistance: Subject Series - Misc Subjects: Receipts/Revenue by Type of Patient Care for the U.S.: 2012. | \n2012 | \necnpatient | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnpatient\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Petroleum Bulk Storage Capacity by Type of Facility and Type of Product for States: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Petroleum Bulk Storage Capacity by Type of Facility and Type of Product for States: 2012. | \n2012 | \necnpetrfac | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnpetrfac\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Petroleum Bulk Storage Capacity by Type of Product and Storage Capacity Size for States: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Petroleum Bulk Storage Capacity by Type of Product and Storage Capacity Size for States: 2012. | \n2012 | \necnpetrprod | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnpetrprod\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Primary Method of Receiving Petroleum Bulk Liquid Products for States: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Primary Method of Receiving Petroleum Bulk Liquid Products for States: 2012. | \n2012 | \necnpetrrec | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnpetrrec\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Petroleum Bulk Storage Capacity by Type of Station by Type of Product for States: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Petroleum Bulk Storage Capacity by Type of Station by Type of Product for States: 2012. | \n2012 | \necnpetrstat | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnpetrstat\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Gross Profit and its Components for Merchant Wholesalers for the U.S.: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Gross Profit and its Components for Merchant Wholesalers for the U.S.: 2012. | \n2012 | \necnprofit | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnprofit\n | \n
| Utilities: Subject Series - Misc Subjects: Cost of Purchased Electricity for Resale by Utilities for the U.S: 2012 | \nUtilities: Subject Series - Misc Subjects: Cost of Purchased Electricity for Resale by Utilities for the U.S.: 2012. | \n2012 | \necnpurelec | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnpurelec\n | \n
| Transportation and Warehousing: Subject Series - Misc Subjects: Cost of Purchased Transportation by Mode of Shipping for the U.S. and States: 2012 | \nTransportation and Warehousing: Subject Series - Misc Subjects: Cost of Purchased Transportation by Mode of Shipping for the U.S. and States: 2012. | \n2012 | \necnpurmode | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnpurmode\n | \n
| Management of Companies and Enterprises: Subject Series - Miscellaneous Subjects: Summary Statistics for Research and Development Acquisition for Selected Industries for the U.S.: 2012 | \nManagement of Companies and Enterprises: Subject Series - Miscellaneous Subjects: Summary Statistics for Research and Development Acquisition for Selected Industries for the U.S.: 2012. | \n2012 | \necnrdacq | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnrdacq\n | \n
| Management of Companies and Enterprises: Subject Series - Misc Subjects: Research and Development for Corporate, Subsidiary, and Regional Managing Offices for the U.S.: 2012 | \nManagement of Companies and Enterprises: Subject Series - Misc Subjects: Research and Development for Corporate, Subsidiary, and Regional Managing Offices for the U.S.: 2012. | \n2012 | \necnrdofc | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnrdofc\n | \n
| Accommodation and Food Services: Subject Series - Misc Subjects: Seating Capacity for the U.S. and States: 2012 | \nAccommodation and Food Services: Subject Series - Misc Subjects: Seating Capacity for the U.S. and States: 2012. | \n2012 | \necnseat | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnseat\n | \n
| 2012 Economic Census - Economic Census US Economic Data by Size Category | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. | \n2012 | \necnsize | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnsize\n | \n
| Health Care and Social Assistance: Subject Series - Misc Subjects: Receipts/Revenue by Type of Social Assistance for the U.S.: 2012 | \nHealth Care and Social Assistance: Subject Series - Misc Subjects: Receipts/Revenue by Type of Social Assistance for the U.S.: 2012. | \n2012 | \necnsocial | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnsocial\n | \n
| Mining: Geographic Area Series: Industry Statistics by Type of Operation for the State or Offshore Area: 2012 | \nMining: Geographic Area Series: Industry Statistics by Type of Operation for the State or Offshore Area: 2012. | \n2012 | \necntype | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecntype\n | \n
| Wholesale Trade: Subject Series - Misc Subjects: Detailed Type of Operation for the U.S.: 2012 | \nWholesale Trade: Subject Series - Misc Subjects: Detailed Type of Operation for the U.S.: 2012. | \n2012 | \necntypop | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecntypop\n | \n
| Construction: Summary Series: General Summary: Value of Construction Work for Location of Construction Work by Subsectors and Industries for U.S. and States: 2012 | \nConstruction: Summary Series: General Summary: Value of Construction Work for Location of Construction Work by Subsectors and Industries for U.S. and States: 2012. | \n2012 | \necnvalcon | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ecnvalcon\n | \n
| 2012 Economic Census - All Sectors: Economy-Wide Key Statistics | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law.\nIn October through December 2012, forms were sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. | \n2012 | \newks | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/ewks\n | \n
| 2012 Nonemployer Statistics | \nNonemployer 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) | \n2012 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/nonemp\n | \n
| 2012 National Population Projections: Projected Births | \nProjected Births by Sex, Race, and Hispanic Origin for the United States: 2012 to 2060 \n\nFile: 2012 National Population Projections\n\nSource: U.S. Census Bureau, Population Division\nRelease Date: December 2012\n\nNOTE: \nHispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. \n\nThe 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, we recommend that you use the population estimates as the measure of the current population. \n\nFor detailed information about the methods used to create the population projections, see http://www.census.gov/population/projections/methodology/.\n\n***\n\nThe U.S. Census Bureau periodically produces projections of the United States resident population by age, sex, race, and Hispanic origin. 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. In some cases, several series of projections are produced based on alternative assumptions for future fertility, life expectancy, net international migration, and (for state-level projections) state-to-state or domestic migration.\n\nAdditional information is available on the Population Projections website: http://www.census.gov/population/projections/. | \n2012 | \npopproj\n › births\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/popproj/births\n | \n
| 2012 National Population Projections: Projected Deaths | \nProjected Deaths by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2012 to 2060\n\nFile: 2012 National Population Projections\n\nSource: U.S. Census Bureau, Population Division\nRelease Date: December 2012\n\nNOTE: \nHispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. \n\nThe 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, we recommend that you use the population estimates as the measure of the current population. \n\nFor detailed information about the methods used to create the population projections, see http://www.census.gov/population/projections/methodology/.\n\n***\n\nThe U.S. Census Bureau periodically produces projections of the United States resident population by age, sex, race, and Hispanic origin. 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. In some cases, several series of projections are produced based on alternative assumptions for future fertility, life expectancy, net international migration, and (for state-level projections) state-to-state or domestic migration.\n\nAdditional information is available on the Population Projections website: http://www.census.gov/population/projections/. | \n2012 | \npopproj\n › deaths\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/popproj/deaths\n | \n
| 2012 National Population Projections: Projected Net International Migration by Single Year of age | \nProjected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2012 to 2060\n\nFile: 2012 National Population Projections\n\nSource: U.S. Census Bureau, Population Division\nRelease Date: December 2012\n\nNOTE: \nHispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. \n\nThe 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, we recommend that you use the population estimates as the measure of the current population. \n\nFor detailed information about the methods used to create the population projections, see http://www.census.gov/population/projections/methodology/.\n\n***\n\nThe U.S. Census Bureau periodically produces projections of the United States resident population by age, sex, race, and Hispanic origin. 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. In some cases, several series of projections are produced based on alternative assumptions for future fertility, life expectancy, net international migration, and (for state-level projections) state-to-state or domestic migration.\n\nAdditional information is available on the Population Projections website: http://www.census.gov/population/projections/. | \n2012 | \npopproj\n › nim\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/popproj/nim\n | \n
| 2012 National Population Projections: Projected Population by Single Year of Age | \nProjected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2012 to 2060\n\nFile: 2012 National Population Projections\n\nSource: U.S. Census Bureau, Population Division\nRelease Date: December 2012\n\nNOTE: \nHispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. \n\nThe 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, we recommend that you use the population estimates as the measure of the current population. \n\nFor detailed information about the methods used to create the population projections, see http://www.census.gov/population/projections/methodology/.\n\n***\n\nThe U.S. Census Bureau periodically produces projections of the United States resident population by age, sex, race, and Hispanic origin. 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. In some cases, several series of projections are produced based on alternative assumptions for future fertility, life expectancy, net international migration, and (for state-level projections) state-to-state or domestic migration.\n\nAdditional information is available on the Population Projections website: http://www.census.gov/population/projections/. | \n2012 | \npopproj\n › pop\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/popproj/pop\n | \n
| 2012 Public Elementary-Secondary Education Finance: Individual Unit Tables | \nThe survey covers all public school systems that provide elementary or secondary education (PK-12). The data include revenue by source (local property tax, monies from other school systems, private tuition and transportation payments, school lunch charges, direct state aid, and federal aid passed through the state government), expenditure by function and object (instruction, support service functions, salaries, and capital outlay), indebtedness, and cash and investments. | \n2012 | \npubschlfin | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/pubschlfin\n | \n
| 2012 Survey of Business Owners: Company Summary | \nThe Survey of Business Owners (SBO) provides the only comprehensive, regularly collected source of information on selected economic and demographic characteristics for businesses and business owners by gender, ethnicity, race, and veteran status.\nData have been collected every 5 years since 1972, for years ending in '2' and '7' as part of the economic census. The program began as a special project for minority-owned businesses in 1969 and was incorporated into the economic census in 1972 along with the Survey of Women-Owned Businesses. Read more information about The Survey of Business Owners. https://www.census.gov/programs-surveys/sbo/about.html | \n2012 | \nsbo | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/sbo\n | \n
| 2012 Survey of Business Owners: Characteristics of Business | \nThe Survey of Business Owners (SBO) provides the only comprehensive, regularly collected source of information on selected economic and demographic characteristics for businesses and business owners by gender, ethnicity, race, and veteran status. Data have been collected every 5 years since 1972, for years ending in '2' and '7' as part of the economic census. The program began as a special project for minority-owned businesses in 1969 and was incorporated into the economic census in 1972 along with the Survey of Women-Owned Businesses. Read more information about The Survey of Business Owners. https://www.census.gov/programs-surveys/sbo/about.html | \n2012 | \nsbo\n › cscb\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/sbo/cscb\n | \n
| 2012 Survey of Business Owners: Characteristics of Business Owners | \nThe Survey of Business Owners (SBO) provides the only comprehensive, regularly collected source of information on selected economic and demographic characteristics for businesses and business owners by gender, ethnicity, race, and veteran status. Data have been collected every 5 years since 1972, for years ending in '2' and '7' as part of the economic census. The program began as a special project for minority-owned businesses in 1969 and was incorporated into the economic census in 1972 along with the Survey of Women-Owned Businesses. Read more information about The Survey of Business Owners. https://www.census.gov/programs-surveys/sbo/about.html | \n2012 | \nsbo\n › cscbo\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/sbo/cscbo\n | \n
| 2012 County Business Patterns - Zip Code Business Patterns: ZIP Code Business Patterns by Industry and Employment Size of Establishment | \nZIP 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. | \n2012 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2012/zbp\n | \n
| ACS 1-Year Detailed Tables | \nThe 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. The 2012 data provide key estimates for each of the topic areas covered by the ACS 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. 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. | \n2013 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs1\n | \n
| ACS 1-Year Comparison Profiles | \nThe 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. | \n2013 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2013 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nSelected 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. | \n2013 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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. | \n2013 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs1/subject\n | \n
| American Community Survey: 3-Year Estimates: Detailed Tables 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2013 | \nacs\n › acs3\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs3\n | \n
| American Community Survey: 3-Year Estimates: Comparison Profiles 3-Year | \nThe 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 and all places with a population of 5,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with prior 5-Year data and include statistical significance testing. There are over 3,000 variables in this dataset. | \n2013 | \nacs\n › acs3\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs3/cprofile\n | \n
| American Community Survey: 3-Year Estimates: Data Profiles 3-Year | \nThe 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.\nQuestionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.\nThe American Community Survey produces demographic, social, housing and economic estimates in the form of 1-year, 3-year and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The 3-year data provide key estimates for each of the topic areas covered by the ACS 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 20,000 or more.\n\nAlthough 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.\nFor 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units. | \n2013 | \nacs\n › acs3\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs3/profile\n | \n
| American Community Survey: 3-Year Estimates: Selected Population Profiles 3-Year | \nThe 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 file, Subject tables, Data profiles, and Comparison profiles are available 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. Selected Population Profiles provide an overview of the estimates available across a range of topics for detailed population groups. The data are presented as population counts and percentages. There are over 300 variables in this dataset. | \n2013 | \nacs\n › acs3\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs3/spp\n | \n
| American Community Survey: 3-Year Estimates: Subject Tables 3-Year | \nThe 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. | \n2013 | \nacs\n › acs3\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs3/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2013 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs5\n | \n
| ACS 5-Year Data Profiles | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2013 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs5/profile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2013 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/acs5/subject\n | \n
| 2009-2013 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2013 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/acs/flows\n | \n
| 2013 County Business Patterns | \nCounty 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. | \n2013 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/cbp\n | \n
| 2013 American Community Survey - Table Packages: Detailed Language Spoken in the U.S. | \nThis data set uses the 2009-2013 American Community Survey to tabulate the number of speakers of languages spoken at home and the number of speakers of each language who speak English less than very well. These tabulations are available for the following geographies: nation; each of the 50 states, plus Washington, D.C. and Puerto Rico; counties with 100,000 or more total population and 25,000 or more speakers of languages other than English and Spanish; core-based statistical areas (metropolitan statistical areas and micropolitan statistical areas) with 100,000 or more total population and 25,000 or more speakers of languages other than English and Spanish. | \n2013 | \nlanguage | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/language\n | \n
| 2013 Nonemployer Statistics | \nNonemployer 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) | \n2013 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/nonemp\n | \n
| Vintage 2013 Population Estimates: County Population Estimates by 5 Year Age Groups, Sex, 5 Races, and Hispanic Origin | \nAnnual County Resident Population Estimates for 5 Race Groups (5 Race Alone or in Combination Groups) by Five-Year Age Groups, Sex, and Hispanic Origin: April 1, 2010 to July 1, 2013 // File: 7/1/2013 County Characteristics Resident Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › cochar5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/cochar5\n | \n
| Vintage 2013 Population Estimates: County Population Estimates by 5 Year Age Groups, Sex, 6 Races, and Hispanic Origin | \nAnnual County Resident Population Estimates for 6 Race Groups (5 Race Alone Groups and Two or More Races) by Five-Year Age Groups, Sex, and Hispanic Origin: April 1, 2010 to July 1, 2013 // File: 7/1/2013 County Characteristics Resident Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › cochar6\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/cochar6\n | \n
| Vintage 2013 Population Estimates: County Total Population and Components of Change | \nAnnual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change for States and Counties: April 1, 2010 to July 1, 2013 // File: 7/1/2013 County Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: March 2014 // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See Population Estimates Terms and Definitions at http://www.census.gov/popest/about/terms.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 and geographic program revisions. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. All geographic boundaries for these population estimates are as of January 1, 2013. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › cty\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/cty\n | \n
| Vintage 2013 Population Estimates: Housing Unit Estimates for US, States, and Counties | \nAnnual 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 http://www.census.gov/popest/methodology/index.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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › housing\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/housing\n | \n
| Vintage 2013 Population Estimates: National Monthly Population Estimates by Single Year of Age , Sex, 5 Races, Hispanic Origin, and Universe | \nMonthly Population Estimates by Universe, Age, Sex, 5 Races, and Hispanic Origin for the United States: April 1, 2010 to July 1, 2013 // File: 7/1/2013 National Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // 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 http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › monthlynatchar5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/monthlynatchar5\n | \n
| Vintage 2013 Population Estimates: National Monthly Population Estimates by Single Year of Age, Sex, 6 Races, Hispanic Origin, and Universe | \nMonthly Population Estimates by Universe, Age, Sex, 6 Races, and Hispanic Origin for the United States: April 1, 2010 to July 1, 2013 // File: 7/1/2013 National Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // 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 http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › monthlynatchar6\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/monthlynatchar6\n | \n
| Vintage 2013 Population Estimates: US, State, and PR Total Population and Components of Change | \nAnnual Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change for the United States, States, and Puerto Rico // File: National and State Population Estimates // Source: U.S. Census Bureau, Population Division // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See Population Estimates Terms and Definitions at http://www.census.gov/popest/about/terms.html. // Net international migration (except for Puerto Rico) 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. Net international migration for Puerto Rico includes the migration of native and foreign-born populations between the United States and Puerto Rico. // 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. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. All geographic boundaries for these population estimates are as of January 1, 2013. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › natstprc\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/natstprc\n | \n
| Vintage 2013 Population Estimates: US, State, and PR Population Age 18+ | \nEstimates of the Total Resident Population and Resident Population Age 18 Years and Older for the United States, States, and Puerto Rico // File: State Characteristics Population Estimates // Source: U.S. Census Bureau, Population Division // 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. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. All geographic boundaries for these population estimates are as of January 1, 2013. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › natstprc18\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/natstprc18\n | \n
| Vintage 2013 Population Estimates: Puerto Rico Commonwealth Estimates by Single Year of Age and Sex | \nAnnual Estimates of the Resident Population by Single Year of Age and Sex for Puerto Rico: April 1, 2010 to July 1, 2013 // File: 7/1/2013 Puerto Rico Commonwealth Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // 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. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › prcagesex\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/prcagesex\n | \n
| Vintage 2013 Population Estimates: Puerto Rico Municipios Total Population | \nAnnual Resident Population Estimates for Puerto Rico Municipios: April 1, 2010 to July 1, 2013 // File: 7/1/2013 Puerto Rico Municipio Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: March 2014 // 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. All geographic boundaries for these population estimates are as of January 1, 2013. For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › prm\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/prm\n | \n
| Vintage 2013 Population Estimates: Puerto Rico Municipios Estimates by 5-Year Age Groups and Sex | \nAnnual Estimates of the Resident Population by Five-Year Age Groups and Sex for the Municipios of Puerto Rico: April 1, 2010 to July 1, 2013 // File: 7/1/2013 Puerto Rico Municipio Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // 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. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html | \n2013 | \npep\n › prmagesex\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/prmagesex\n | \n
| Vintage 2013 Population Estimates: State Population Estimates by Single Year of Age, Sex, 5 Races, and Hispanic Origin | \nAnnual State Resident Population Estimates for 5 Race Groups (5 Race Alone or in Combination Groups) by Age, Sex, and Hispanic Origin: April 1, 2010 to July 1, 2013// File: 7/1/2013 State Characteristics Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › stchar5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/stchar5\n | \n
| Vintage 2013 Population Estimates: State Population Estimates by Single Year of Age, Sex, 6 Races, and Hispanic Origin | \nAnnual State Resident Population Estimates for 6 Race Groups (5 Race Alone Groups and Two or More Races) by Age, Sex, and Hispanic Origin: April 1, 2010 to July 1, 2013 // File: 7/1/2013 State Characteristics Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: June 2014 // 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › stchar6\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/stchar6\n | \n
| Vintage 2013 Population Estimates: Subcounty Population Places and MCDs | \nSubcounty Resident Population Estimates: April 1, 2010 to July 1, 2013 // File: 7/1/2013 Subcounty Population Estimates // Source: U.S. Census Bureau, Population Division // Release Date: May 2014 // 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. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. For functional status codes, see http://www.census.gov/geo/reference/codes/place.html. All geographic boundaries for these population estimates are as of January 1, 2013. An (X) in the 2010 Census field indicates a government that was formed or incorporated after the 2010 Census. See additional information on these areas in the Geographic Boundary Change Notes (http://www.census.gov/geo/reference/boundary-changes.html). For population estimates methodology statements, see http://www.census.gov/popest/methodology/index.html. // The estimates base populations for the unincorporated part of Gadsden County, FL and Rockwell City city, IA (located in Calhoun County) include different group quarters population than enumerated in the 2010 Census. After comparison with other Census Bureau data collection efforts, the Census Bureau determined that the 2010 Census enumeration of the group quarters population in these areas was incomplete. Although not eligible for the Count Question Resolution program, the Census Bureau concluded that including the additional group quarters population for these two areas into the population estimates base would provide more accurate estimates for each area. // 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., V2013) 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: http://www.census.gov/popest/index.html. | \n2013 | \npep\n › subcty\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/pep/subcty\n | \n
| 2013 County Business Patterns - Zip Code Business Patterns: ZIP Code Business Patterns by Industry and Employment Size of Establishment | \nZIP 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. | \n2013 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2013/zbp\n | \n
| ACS 1-Year Detailed Tables | \nThe 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. | \n2014 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs1\n | \n
| ACS 1-Year Comparison Profiles | \nThe 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.\n\nSummary file, 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.\n\nComparison 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 9,000 variables in this dataset. | \n2014 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2014 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nSelected 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. | \n2014 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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.\n\nSummary file, 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.\n\nSubject tables provide an overview of the estimates available in a particular topic. The data are presented as population counts and percentages. There are over 66,000 variables in this dataset. | \n2014 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs1/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2014 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs5\n | \n
| ACS 5-Year Data Profiles | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2014 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs5/profile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2014 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acs5/subject\n | \n
| ACS 1-Year Supplemental Estimates | \nThe 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. | \n2014 | \nacs\n › acsse\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/acsse\n | \n
| 2010-2014 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2014 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/acs/flows\n | \n
| 2014 Annual Survey of Entrepreneurs: Company Statistics | \n2014 Annual Survey of Entrepreneurs CSA | \n2014 | \nase\n › csa\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/ase/csa\n | \n
| 2014 Annual Survey of Entrepreneurs: Characteristics of Businesses | \nGender, Ethnicity, Race and Veteran Status code | \n2014 | \nase\n › cscb\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/ase/cscb\n | \n
| 2014 Annual Survey of Entrepreneurs: Characteristics of Businesses Owners | \n2014 Annual Survey of Entrepreneurs CSCBO | \n2014 | \nase\n › cscbo\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/ase/cscbo\n | \n
| 2014 County Business Patterns | \nCounty 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. | \n2014 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/cbp\n | \n
| 2014 International Trade: Historical Imports and Exports | \nThis 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. | \n2014 | \nintltrade\n › imp_exp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/intltrade/imp_exp\n | \n
| 2014 Nonemployer Statistics | \nNonemployer 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) | \n2014 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/nonemp\n | \n
| Vintage 2014 Population Estimates: National Annual Resident Population Estimates by Single Year of Age and Sex | \nAnnual Estimates of the Resident Population by Single Year of Age and Sex for the United States // Source: U.S. Census Bureau, Population Division // 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.// For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › agesex\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/agesex\n | \n
| Vintage 2014 Population Estimates: National, State, County Annual Resident Population Estimates by Age Groups, Sex, 5 Races, and Hispanic Origin | \nAnnual County Resident Population Estimates for 5 Race Groups (5 Race Alone or in Combination Groups) by Selected Age Groups, Sex, and Hispanic Origin // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › agespecial5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/agespecial5\n | \n
| Vintage 2014 Population Estimates: National, State, County Annual Resident Population Estimates by Age Groups, Sex, 6 Races, and Hispanic Origin | \nAnnual County Resident Population Estimates for 6 Race Groups (5 Race Alone Groups and Two or More Races) by Selected Age Groups, Sex, and Hispanic Origin // Source: U.S. Census Bureau, Population Division // 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › agespecial6\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/agespecial6\n | \n
| Vintage 2014 Population Estimates: Puerto Rico Commonwealth and Municipios Annual Resident Population Estimates by Age Groups and Sex | \nAnnual Estimates of the Resident Population for Selected Age Groups by Sex for Puerto Rico Commonwealth and Its Municipios // Source: U.S. Census Bureau, Population Division // 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. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2014) 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: http://www.census.gov/popest/index.html | \n2014 | \npep\n › agespecialpr\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/agespecialpr\n | \n
| Vintage 2014 Population Estimates: County Population Estimates by 5 Year Age Groups, Sex, 5 Races, and Hispanic Origin | \nAnnual County Resident Population Estimates for 5 Race Groups (5 Race Alone or in Combination Groups) by Five-Year Age Groups, Sex, and Hispanic Origin // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › cochar5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/cochar5\n | \n
| Vintage 2014 Population Estimates: County Population Estimates by 5 Year Age Groups, Sex, 6 Races, and Hispanic Origin | \nAnnual County Resident Population Estimates for 6 Race Groups (5 Race Alone Groups and Two or More Races) by Five-Year Age Groups, Sex, and Hispanic Origin // Source: U.S. Census Bureau, Population Division // 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › cochar6\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/cochar6\n | \n
| Vintage 2014 Population Estimates: County Total Population and Components of Change | \nAnnual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change for States and Counties // Source: U.S. Census Bureau, Population Division // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See Population Estimates Terms and Definitions at http://www.census.gov/popest/about/terms.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 and geographic program revisions. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.html. // Each year, the Census Bureaus 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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › cty\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/cty\n | \n
| Vintage 2014 Population Estimates: Housing Unit Estimates for US, States, and Counties | \nAnnual 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 http://www.census.gov/popest/methodology/index.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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › housing\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/housing\n | \n
| Vintage 2014 Population Estimates: National Monthly Population Estimates by Single Year of Age , Sex, 5 Races, Hispanic Origin, and Universe | \nMonthly Population Estimates by Universe, Age, Sex, 5 Races, and Hispanic Origin for the United States // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // 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 http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › monthlynatchar5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/monthlynatchar5\n | \n
| Vintage 2014 Population Estimates: National Monthly Population Estimates by Single Year of Age, Sex, 6 Races, Hispanic Origin, and Universe | \nMonthly Population Estimates by Universe, Age, Sex, 6 Races, and Hispanic Origin for the United States // Source: U.S. Census Bureau, Population Division // 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // 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 http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › monthlynatchar6\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/monthlynatchar6\n | \n
| Vintage 2014 Population Estimates: US, State, and PR Total Population and Components of Change | \nAnnual Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change for the United States, States, and Puerto Rico // Source: U.S. Census Bureau, Population Division // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See Population Estimates Terms and Definitions at http://www.census.gov/popest/about/terms.html. // Net international migration (except for Puerto Rico) 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. Net international migration for Puerto Rico includes the migration of native and foreign-born populations between the United States and Puerto Rico. // 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. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.html. // Each year, the Census Bureaus 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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › natstprc\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/natstprc\n | \n
| Vintage 2014 Population Estimates: US, State, and PR Population Age 18+ | \nAnnual Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change for the United States, States, and Puerto Rico // Source: U.S. Census Bureau, Population Division // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See Population Estimates Terms and Definitions at http://www.census.gov/popest/about/terms.html. // Net international migration (except for Puerto Rico) 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. Net international migration for Puerto Rico includes the migration of native and foreign-born populations between the United States and Puerto Rico. // 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. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.html. // Each year, the Census Bureaus 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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › natstprc18\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/natstprc18\n | \n
| Vintage 2014 Population Estimates: Puerto Rico Commonwealth Estimates by Single Year of Age and Sex | \nAnnual Estimates of the Resident Population by Single Year of Age and Sex for Puerto Rico // Source: U.S. Census Bureau, Population Division // 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. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › prcagesex\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/prcagesex\n | \n
| Vintage 2014 Population Estimates: Puerto Rico Municipios Total Population | \nAnnual Resident Population Estimates for Puerto Rico Municipios // Source: U.S. Census Bureau, Population Division // 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. For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.html. // Each year, the Census Bureaus 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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › prm\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/prm\n | \n
| Vintage 2014 Population Estimates: Puerto Rico Municipios Estimates by 5-Year Age Groups and Sex | \nAnnual Estimates of the Resident Population by Five-Year Age Groups and Sex for the Municipios of Puerto Rico // Source: U.S. Census Bureau, Population Division // 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. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html | \n2014 | \npep\n › prmagesex\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/prmagesex\n | \n
| 2014 National Population Projections: Projected Population by Age Groups, Sex, Race, and Hispanic Origin for the United States | \nProjected Population by Age Groups, Sex, Race, and Hispanic Origin for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // 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://www.census.gov/population/projections/methodology. // The population projections for the United States are produced by the Census Bureau's Population Estimates and Projections Program. 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/population/projections. | \n2014 | \npep\n › projagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/projagegroups\n | \n
| 2014 National Population Projections: Projected Births by Sex, Race, and Hispanic Origin for the United States | \nProjected Births by Sex, Race, and Hispanic Origin for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // 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://www.census.gov/population/projections/methodology. // The population projections for the United States are produced by the Census Bureau's Population Estimates and Projections Program. 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/population/projections. | \n2014 | \npep\n › projbirths\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/projbirths\n | \n
| 2014 National Population Projections: Projected Deaths by Single Year of Age, Sex, Race, and Hispanic Origin for the United States | \nProjected Deaths by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // 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://www.census.gov/population/projections/methodology. // The population projections for the United States are produced by the Census Bureau's Population Estimates and Projections Program. 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/population/projections. | \n2014 | \npep\n › projdeaths\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/projdeaths\n | \n
| 2014 National Population Projections: Projected Population by Single Year of Age, Sex, Race, Hispanic Origin, and Nativity for the United States | \nProjected Population by Single Year of Age, Sex, Race, Hispanic Origin, and Nativity for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // 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://www.census.gov/population/projections/methodology. // The population projections for the United States are produced by the Census Bureau's Population Estimates and Projections Program. 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/population/projections. | \n2014 | \npep\n › projnat\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/projnat\n | \n
| 2014 National Population Projections: Projected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States | \nProjected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2014-2060 // Source: U.S. Census Bureau, Population Division // 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://www.census.gov/population/projections/methodology. // The population projections for the United States are produced by the Census Bureau's Population Estimates and Projections Program. 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/population/projections. | \n2014 | \npep\n › projnim\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/projnim\n | \n
| 2014 National Population Projections: Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States | \nProjected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2014 to 2060 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. // 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://www.census.gov/population/projections/methodology. // The population projections for the United States are produced by the Census Bureau's Population Estimates and Projections Program. 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/population/projections. | \n2014 | \npep\n › projpop\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/projpop\n | \n
| Vintage 2014 Population Estimates: State Population Estimates by Single Year of Age, Sex, 5 Races, and Hispanic Origin | \nAnnual State Resident Population Estimates for 5 Race Groups (5 Race Alone or in Combination Groups) by Age, Sex, and Hispanic Origin // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race groups adds to more than the total population because individuals may report more than one race. 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › stchar5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/stchar5\n | \n
| Vintage 2014 Population Estimates: State Population Estimates by Single Year of Age, Sex, 6 Races, and Hispanic Origin | \nAnnual State Resident Population Estimates for 6 Race Groups (5 Race Alone Groups and Two or More Races) by Age, Sex, and Hispanic Origin // Source: U.S. Census Bureau, Population Division // 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. 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // For detailed information about the methods used to create the population estimates, see http://www.census.gov/popest/methodology/index.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., V2013) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › stchar6\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/stchar6\n | \n
| Vintage 2014 Population Estimates: Subcounty Population Places and MCDs | \nSubcounty Resident Population Estimates // Source: U.S. Census Bureau, Population Division // 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. See Geographic Terms and Definitions at http://www.census.gov/popest/about/geo/terms.html for a list of the states that are included in each region and division. For functional status codes, see http://www.census.gov/geo/reference/codes/place.html. All geographic boundaries for these population estimates are as of current vintage year. An (X) in the 2010 Census field indicates a government that was formed or incorporated after the 2010 Census. See additional information on these areas in the Geographic Boundary Change Notes (http://www.census.gov/geo/reference/boundary-changes.html). For population estimates methodology statements, see http://www.census.gov/popest/methodology/index.html. // The estimates base populations for the unincorporated part of Gadsden County, FL and Rockwell City city, IA (located in Calhoun County) include different group quarters population than enumerated in the 2010 Census. After comparison with other Census Bureau data collection efforts, the Census Bureau determined that the 2010 Census enumeration of the group quarters population in these areas was incomplete. Although not eligible for the Count Question Resolution program, the Census Bureau concluded that including the additional group quarters population for these two areas into the population estimates base would provide more accurate estimates for each area. // 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., V2014) 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: http://www.census.gov/popest/index.html. | \n2014 | \npep\n › subcty\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/pep/subcty\n | \n
| 2014 County Business Patterns - Zip Code Business Patterns: ZIP Code Business Patterns by Industry and Employment Size of Establishment | \nZIP 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. | \n2014 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2014/zbp\n | \n
| ACS 1-Year Detailed Tables | \nThe 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. | \n2015 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs1\n | \n
| ACS 1-Year Comparison Profiles | \nThe 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. | \n2015 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2015 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nSelected 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. | \n2015 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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.\n\nSummary file, Subject tables, Data profiles, and Comparison profiles are available 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.\n\nSubject tables provide an overview of the estimates available in a particular topic. The data are presented as population counts and percentages. There are over 66,000 variables in this dataset. | \n2015 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs1/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2015 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs5\n | \n
| ACS 5-Year AIAN Detailed Tables | \nThe American Indian and Alaska Native (AIAN) tables are released every five years. They are available for selected tribal populations, with more detailed tribal categories compared to those in the Selected Population Tables. | \n2015 | \nacs\n › acs5\n › aian\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs5/aian\n | \n
| American Community Survey: 5-Year Estimates: American Indian and Alaska Native Data Profiles 5-Year | \nThe American Indian and Alaska Native (AIAN) tables are released every five years. They are available for selected tribal populations, with more detailed tribal categories compared to those in the Selected Population Tables. | \n2015 | \nacs\n › acs5\n › aianprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs5/aianprofile\n | \n
| ACS 5-Year Comparison Profiles | \nThe 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 and all places with a population of 5,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with prior 5-Year data and include statistical significance testing. There are over 3,000 variables in this dataset. | \n2015 | \nacs\n › acs5\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs5/cprofile\n | \n
| ACS 5-Year Data Profiles | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2015 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs5/profile\n | \n
| American Community Survey: 5-Year Estimates: Selected Population Detailed Tables 5-Year | \nThe Selected Population Tables (SPT) are released every five years. They are available for selected race, Hispanic origin, tribal, and ancestry populations. | \n2015 | \nacs\n › acs5\n › spt\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs5/spt\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2015 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acs5/subject\n | \n
| ACS 1-Year Supplemental Estimates | \nThe 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. | \n2015 | \nacs\n › acsse\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/acsse\n | \n
| 2011-2015 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2015 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs/flows\n | \n
| 2015 American Community Survey 1-Year Data Profile 115th Congressional District | \nThe 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 115th Congressional District Data Profiles are available for the nation, all 50 states, the District of Columbia, and Puerto Rico (at large). Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts for over 1,000 distinct variables. | \n2015 | \nacs1\n › cd115\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/acs1/cd115\n | \n
| Annual Economic Surveys: Survey of Business Owners: Annual Survey of Entrepreneurs Company Summary | \nComponent Summary Data for Survey of Business Owners | \n2015 | \nase\n › csa\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/ase/csa\n | \n
| Annual Economic Surveys: Survey of Business Owners: Annual Survey of Entrepreneurs Characteristics of Businesses | \nGender, Ethnicity, Race and Veteran Status code | \n2015 | \nase\n › cscb\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/ase/cscb\n | \n
| Annual Economic Surveys: Survey of Business Owners: Annual Survey of Entrepreneurs Characteristics of Business Owners | \nGender, Ethnicity, Race, Veteran Status and Years in Business code | \n2015 | \nase\n › cscbo\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/ase/cscbo\n | \n
| 2015 County Business Patterns | \nCounty 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. | \n2015 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/cbp\n | \n
| 2015 International Trade: Historical Imports and Exports | \nThis 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. | \n2015 | \nintltrade\n › imp_exp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/intltrade/imp_exp\n | \n
| 2015 Nonemployer Statistics | \nNonemployer 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) | \n2015 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/nonemp\n | \n
| 2015 Census Planning Database: Block Group | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning. | \n2015 | \npdb\n › blockgroup\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pdb/blockgroup\n | \n
| 2015 Census Planning Database: Tract Level | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census tract level of geography. These data can be used for many purposes, including survey field operations planning. | \n2015 | \npdb\n › tract\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pdb/tract\n | \n
| Vintage 2015 Population Estimates: Characteristics by Single Year of Age | \nAnnual 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 http://www.census.gov/popest/data/historical/files/MRSF-01-US1.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 http://www.census.gov/popest/methodology/index.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., 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 Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: http://www.census.gov/popest/index.html. | \n2015 | \npep\n › charage\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pep/charage\n | \n
| Vintage 2015 Population Estimates: Demographic Characteristics Estimates by Age Groups | \nAnnual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2015 // 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://www.census.gov/popest/data/historical/files/MRSF-01-US1.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/popest/methodology/index.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., 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 Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html. | \n2015 | \npep\n › charagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pep/charagegroups\n | \n
| Vintage 2015 Population Estimates: Components of Change Estimates | \nAnnual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change for United States, States, Counties, and Puerto Rico: April 1, 2010 to July 1, 2015 // 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 Population Estimates Terms and Definitions at https://www.census.gov/popest/about/terms.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.// For detailed information about the methods used to create the population estimates, see https://www.census.gov/popest/methodology/index.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., 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 Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html | \n2015 | \npep\n › components\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pep/components\n | \n
| Vintage 2015 Population Estimates: Housing Unit Estimates for US, States, and Counties | \nAnnual 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 http://www.census.gov/popest/methodology/index.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: http://www.census.gov/popest/index.html. | \n2015 | \npep\n › housing\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pep/housing\n | \n
| Vintage 2015 Population Estimates: National Monthly Population Estimates | \nMonthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2016 // 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://www.census.gov/popest/data/historical/files/MRSF-01-US1.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/popest/methodology/index.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., 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 Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html | \n2015 | \npep\n › natmonthly\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pep/natmonthly\n | \n
| Vintage 2015 Population Estimates: Population Estimates | \nAnnual Population Estimates for United States, States, Counties, and Subcounty Places, and for Puerto Rico and Its Municipios: April 1, 2010 to July 1, 2015// 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. // 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/popest/methodology/index.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., 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 Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html | \n2015 | \npep\n › population\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/pep/population\n | \n
| 2015 County Business Patterns - Zip Code Business Patterns: ZIP Code Business Patterns by Industry and Employment Size of Establishment | \nZIP 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. | \n2015 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2015/zbp\n | \n
| ACS 1-Year Detailed Tables | \nThe 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 2012 data 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. | \n2016 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs1\n | \n
| ACS 1-Year Comparison Profile | \nThe 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.\n\nSummary file, Subject tables, Data profiles, and Comparison profiles are available 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.\n\nComparison 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 9,000 variables in this dataset. | \n2016 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. | \n2016 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs1/profile\n | \n
| ACS 1-Year Selected Population Profiles | \nSelected 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. | \n2016 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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.\n\nSummary file, Subject tables, Data profiles, and Comparison profiles are available 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.\n\nSubject tables provide an overview of the estimates available in a particular topic. The data are presented as population counts and percentages. There are over 66,000 variables in this dataset. | \n2016 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs1/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2016 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs5\n | \n
| ACS 5-Year Comparison Profile | \nThe 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 and all places with a population of 5,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with prior 5-Year data and include statistical significance testing. There are over 3,000 variables in this dataset. | \n2016 | \nacs\n › acs5\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs5/cprofile\n | \n
| ACS 5-Year Data Profile | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2016 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs5/profile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2016 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acs5/subject\n | \n
| ACS 1-Year Supplemental Estimates | \nThe 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. | \n2016 | \nacs\n › acsse\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/acsse\n | \n
| ACS FLOWS | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2016 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. | \n2016 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/acs/flows\n | \n
| 2016 Annual Survey of Entrepreneurs - CSA | \nComponent Summary Data for Survey of Business Owners | \n2016 | \nase\n › csa\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/ase/csa\n | \n
| 2016 Annual Survey of Entrepreneurs - CSCB | \nGender, Ethnicity, Race and Veteran Status code | \n2016 | \nase\n › cscb\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/ase/cscb\n | \n
| 2016 Annual Survey of Entrepreneurs - CSCBO | \nGender, Ethnicity, Race, Veteran Status and Years in Business code | \n2016 | \nase\n › cscbo\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/ase/cscbo\n | \n
| 2016 County Business Patterns | \nCounty 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. | \n2016 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/cbp\n | \n
| 2016 International Trade: Historical Imports and Exports | \nThis 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. | \n2016 | \nintltrade\n › imp_exp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/intltrade/imp_exp\n | \n
| 2016 Nonemployer Statistics | \nNonemployer 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) | \n2016 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/nonemp\n | \n
| 2016 Census Planning Database: Block Group | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning. | \n2016 | \npdb\n › blockgroup\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pdb/blockgroup\n | \n
| 2016 Census Planning Database: Tract Level | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census tract level of geography. These data can be used for many purposes, including survey field operations planning. | \n2016 | \npdb\n › tract\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pdb/tract\n | \n
| Vintage 2016 Population Estimates: Characteristics by Single Year of Age | \nAnnual 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. | \n2016 | \npep\n › charage\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pep/charage\n | \n
| Vintage 2016 Population Estimates: Demographic Characteristics Estimates by Age Groups | \nAnnual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2016 // 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., 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 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. | \n2016 | \npep\n › charagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pep/charagegroups\n | \n
| Vintage 2016 Population Estimates: Components of Change Estimates | \nAnnual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change: April 1, 2010 to July 1, 2016 // 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 2016) 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. | \n2016 | \npep\n › components\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pep/components\n | \n
| Vintage 2016 Population Estimates: Housing Unit Estimates for US, States, and Counties | \nAnnual 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. | \n2016 | \npep\n › housing\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pep/housing\n | \n
| Vintage 2016 Population Estimates: National Monthly Population Estimates | \nMonthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2016 // 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., 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 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. | \n2016 | \npep\n › natmonthly\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pep/natmonthly\n | \n
| Vintage 2016 Population Estimates: Population Estimates | \nAnnual 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, 2016 // 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 2016) 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. | \n2016 | \npep\n › population\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/pep/population\n | \n
| 2016 County Business Patterns - Zip Code Business Patterns: ZIP Code Business Patterns by Industry and Employment Size of Establishment | \nZIP 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. | \n2016 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2016/zbp\n | \n
| Annual Economic Surveys: Annual Business Survey | \nThe 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 | \n2017 | \nabscb | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/abscb\n | \n
| Annual Economic Surveys: Annual Business Survey | \nThe 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 | \n2017 | \nabscbo | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/abscbo\n | \n
| Annual Economic Surveys: Annual Business Survey | \nThe 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 | \n2017 | \nabscs | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/abscs\n | \n
| ACS 1-Year Detailed Tables | \nThe 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. | \n2017 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs1\n | \n
| ACS 1-Year Comparison Profiles | \nThe 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. | \n2017 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs1/cprofile\n | \n
| ACS 1-Year Data Profiles | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2017 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs1/profile\n | \n
| ACS 1-Year Selected Population Profiles | \nSelected 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. | \n2017 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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. | \n2017 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs1/subject\n | \n
| ACS 5-Year Detailed Tables | \nThe 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 (114th 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. | \n2017 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs5\n | \n
| ACS 5-Year Comparison Profiles | \nThe 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 and all places with a population of 5,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with prior 5-Year data and include statistical significance testing. There are over 3,000 variables in this dataset. | \n2017 | \nacs\n › acs5\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs5/cprofile\n | \n
| ACS 5-Year Data Profiles | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2017 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs5/profile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2017 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acs5/subject\n | \n
| ACS 1-Year Supplemental Estimates | \nThe 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. | \n2017 | \nacs\n › acsse\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/acsse\n | \n
| ACS FLOWS | \nMigration 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. | \n2017 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/acs/flows\n | \n
| Economic Annual Surveys: Business Patterns: County Business Patterns | \nCounty 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. | \n2017 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/cbp\n | \n
| Economic Census: Economic Census of the United States: Commodity Flow Survey Geographic Area Data | \nThe 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. | \n2017 | \ncfsarea | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/cfsarea\n | \n
| Economic Census: Economic Census of the United States: Commodity Flow Survey Export Data | \nThe 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. | \n2017 | \ncfsexport | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/cfsexport\n | \n
| Economic Census: Economic Census of the United States: Commodity Flow Survey Hazmat Data | \nThe 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. | \n2017 | \ncfshazmat | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/cfshazmat\n | \n
| Economic Census: Commidity Flow Survey Preliminary Data | \nThe 2017 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. | \n2017 | \ncfsprelim | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/cfsprelim\n | \n
| Economic Census: Commodity Flow Survey Temperature Data | \nThe 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. | \n2017 | \ncfstemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/cfstemp\n | \n
| Economic Census: Economic Census of Island Areas | \nEvery 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. | \n2017 | \necn\n › islandareas\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/ecn/islandareas\n | \n
| Economic Census: Economic Census of the United States: Economic Census of Island Areas | \nEvery 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. | \n2017 | \necn\n › islandareas\n › comp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/ecn/islandareas/comp\n | \n
| Economic Census: Economic Census of Island Areas | \nEvery 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. | \n2017 | \necn\n › islandareas\n › napcs\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/ecn/islandareas/napcs\n | \n
| Economic Census: Economic Census of the United States: Economic Census US Basic Data | \nThe Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. | \n2017 | \necnbasic | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/ecnbasic\n | \n
| Economic Census: Economic Census of the United States: Mining: Detailed Statistics by Type of Operation for the U.S., States, and Offshore Areas | \nThis dataset presents statistics for Mining: Summary Statistics by Type of Operation for the U.S., States, and Offshore Areas | \n2017 | \necntype | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/ecntype\n | \n
| Economic Census: Economic Census of the United States: Wholesale Trade: Detailed Type of Operation for the U.S. | \nThis dataset presents statistics for Wholesale Trade: Detailed Type of Operation for the U.S. | \n2017 | \necntypop | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/ecntypop\n | \n
| 2017 International Trade: Historical Imports and Exports | \nThis 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. | \n2017 | \nintltrade\n › imp_exp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/intltrade/imp_exp\n | \n
| 2017 Nonemployer Statistics: Non Employer Statistics | \nNonemployer 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) | \n2017 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/nonemp\n | \n
| Vintage 2017 Population Estimates: Characteristics by Single Year of Age | \nAnnual 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. | \n2017 | \npep\n › charage\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/pep/charage\n | \n
| Vintage 2017 Population Estimates: Demographic Characteristics Estimates by Age Groups | \nAnnual 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. | \n2017 | \npep\n › charagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/pep/charagegroups\n | \n
| Vintage 2017 Population Estimates: Components of Change Estimates | \nAnnual 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. | \n2017 | \npep\n › components\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/pep/components\n | \n
| Vintage 2017 Population Estimates: Housing Unit Estimates for US, States, and Counties | \nAnnual 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. | \n2017 | \npep\n › housing\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/pep/housing\n | \n
| Vintage 2017 Population Estimates: National Monthly Population Estimates | \nMonthly 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. | \n2017 | \npep\n › natmonthly\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/pep/natmonthly\n | \n
| Vintage 2017 Population Estimates: Population Estimates | \nAnnual 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. | \n2017 | \npep\n › population\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/pep/population\n | \n
| National Population Projections: Projected Population by Age Group, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | \nProjected 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. | \n2017 | \npopproj\n › agegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/popproj/agegroups\n | \n
| National Population Projections: Projected Births by Sex, Race, and Hispanic Origin for the United States: 2016-2060 | \nProjected 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. | \n2017 | \npopproj\n › births\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/popproj/births\n | \n
| National Population Projections: Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | \nProjected 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. | \n2017 | \npopproj\n › deaths\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/popproj/deaths\n | \n
| National Population Projections: Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin, and Nativity for the United States: 2016-2060 | \nProjected 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. | \n2017 | \npopproj\n › nat\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/popproj/nat\n | \n
| National Population Projections: Projected Net International Migration by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | \nProjected 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. | \n2017 | \npopproj\n › nim\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/popproj/nim\n | \n
| National Population Projections: Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016-2060 | \nProjected 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 | \n2017 | \npopproj\n › pop\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/popproj/pop\n | \n
| Economic Annual Surveys: Business Patterns: Zipcode Business Patterns | \nZIP Code Business Patterns Methodology: Basis of Reporting ZIP Code Business Patterns is tabulated at the establishment level. An establishment is a single physical location at which business is conducted or services or industrial operations are performed. It is not necessarily identical with a company or enterprise, which may consist of one or more establishments. When two or more activities are carried on at a single location under a single ownership, all activities generally are grouped together as a single establishment. The entire establishment is classified on the basis of its major activity and all data are included in that classification. Establishment-size designations are determined by paid employment in the mid-March pay period. The size group \"1 to 4\" includes establishments that did not report any paid employees in the mid-March pay period but paid wages to at least one employee at some time during the year. Establishment counts represent the number of locations with paid employees any time during the year. Sources of the Data Payroll and employment data are tabulated from administrative records for single-unit firms and a combination of administrative records and survey-collected data for multi-unit firms. Read more >> Geographic Area Coding Most geography codes are derived from the physical location address reported in Census Bureau programs. The Internal Revenue Service and the Bureau of Labor Statistics provide supplemental address information. Reliability of Data The data are not subject to sampling error, but are subject to nonsampling errors, which can be attributed to several sources: inability to identify all cases that should be in the universe; definition and classification difficulties; errors in recording or coding the data obtained; and other errors of coverage, processing, and estimation for missing or misreported data. Read more >> Dollar Values All dollar values presented in the reports from the ZIP Code Business Patterns are expressed in current dollars, i.e, 2009 data are expressed in 2009 dollars and 2008 data in 2008 dollars. Consequently, when making comparisons to prior years, data users should take into consideration the inflation that has occurred. All dollar values, unless noted otherwise, are shown in thousands of dollars. Disclosure In accordance with federal law (U.S. Code, Title 13, Section 9) no data are published that would disclose the operations of an individual establishment or business. Noise Infusion: ZIP Code Business Patterns apply the Noise Infusion method of data protection. Noise infusion is a method used to protect data in which values for each establishment such as first-quarter payroll, annual payroll, and number of employees are perturbed prior to publication by applying a random noise multiplier to the data for each company. This method results in a relatively small change to the vast majority of cell values. Read more >> The number of establishments in a particular tabulation cell is not considered a disclosure; therefore, this information may be released without the addition of protective noise. Other Survey-Specific Information Definitional and coverage differences may affect the direct comparison of Economic Census and ZIP Code Business Patterns data. Read more >> | \n2017 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2017/zbp\n | \n
| American Community Survey: 1-Year Estimates: Detailed Tables 1-Year | \nThe 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. | \n2018 | \nacs\n › acs1\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs1\n | \n
| American Community Survey: 1-Year Estimates: Comparison Profiles 1-Year | \nThe 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. | \n2018 | \nacs\n › acs1\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs1/cprofile\n | \n
| ACS 1-Year Profile Tables | \nThe 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. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as population counts and percentages. There are over 1,000 variables in this dataset. | \n2018 | \nacs\n › acs1\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs1/profile\n | \n
| American Community Survey: 1-Year Estimates: Selected Population Profiles 1-Year | \nSelected 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. | \n2018 | \nacs\n › acs1\n › spp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs1/spp\n | \n
| ACS 1-Year Subject Tables | \nThe 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. | \n2018 | \nacs\n › acs1\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs1/subject\n | \n
| American Community Survey: 1-Year Estimates: Detailed Tables 5-Year | \nThe 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 (114th 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. | \n2018 | \nacs\n › acs5\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs5\n | \n
| American Community Survey: 1-Year Estimates: Comparison Profiles 5-Year | \nThe 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 and all places with a population of 5,000 or more. Comparison profiles are similar to data profiles but also include comparisons with past-year data. The current year data are compared with prior 5-Year data and include statistical significance testing. There are over 3,000 variables in this dataset. | \n2018 | \nacs\n › acs5\n › cprofile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs5/cprofile\n | \n
| ACS 5-Year Data Profiles | \nThe American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. The data profiles include the following geographies: nation, all states (including DC and Puerto Rico), all metropolitan areas, all congressional districts, all counties, all places and all tracts. Data profiles contain broad social, economic, housing, and demographic information. The data are presented as both counts and percentages. There are over 2,400 variables in this dataset. | \n2018 | \nacs\n › acs5\n › profile\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs5/profile\n | \n
| ACS 5-Year Subject Tables | \nThe 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. | \n2018 | \nacs\n › acs5\n › subject\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acs5/subject\n | \n
| ACS 1-Year Supplemental Estimates | \nThe 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. | \n2018 | \nacs\n › acsse\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/acsse\n | \n
| 2014-2018 American Community Survey: Migration Flows | \nMigration flows are derived from the relationship between the location of current residence in the American Community Survey (ACS) sample and the responses given to the migration question \"Where did you live 1 year ago?\". There are flow statistics (moved in, moved out, and net moved) between county or minor civil division (MCD) of residence and county, MCD, or world region of residence 1 year ago. Estimates for MCDs are only available for the 12 strong-MCD states, where the MCDs have the same government functions as incorporated places. Migration flows between metropolitan statistical areas are available starting with the 2009-2013 5-year ACS dataset. Flow statistics are available by three or four variables for each dataset starting with the 2006-2010 5-year ACS datasets. The variables change for each dataset and do not repeat in overlapping datasets. In addition to the flow estimates, there are supplemental statistics files that contain migration/geographical mobility estimates (e.g., nonmovers, moved to a different state, moved from abroad) for each county, MCD, or metro area. | \n2018 | \nacs\n › flows\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/acs/flows\n | \n
| 2018 County Business Patterns | \nCounty 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. | \n2018 | \ncbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/cbp\n | \n
| 2018 International Trade: Historical Imports and Exports | \nThis 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. | \n2018 | \nintltrade\n › imp_exp\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/intltrade/imp_exp\n | \n
| Annual Economic Surveys: Nonemployer Statistics | \nNonemployer 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). | \n2018 | \nnonemp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/nonemp\n | \n
| 2018 Census Planning Database: Block Group | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning. | \n2018 | \npdb\n › blockgroup\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pdb/blockgroup\n | \n
| 2018 Census Planning Database: Tract Level | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census tract level of geography. These data can be used for many purposes, including survey field operations planning. | \n2018 | \npdb\n › tract\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pdb/tract\n | \n
| Vintage 2018 Population Estimates: Characteristics by Single Year of Age | \nAnnual Resident Population Estimates by Single Year of Age, Sex, Race, and Hispanic Origin // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // The vintage year refers to the final year of the time series. Each vintage of estimates includes all years since the most recent decennial census. The latest vintage estimates supersede all previous vintage estimates. More information about the Population Estimates Program, methodologies, and other products are available at https://www.census.gov/programs-surveys/popest.html. | \n2018 | \npep\n › charage\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pep/charage\n | \n
| Vintage 2018 Population Estimates: Demographic Characteristics Estimates by Age Groups | \nAnnual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | \n2018 | \npep\n › charagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pep/charagegroups\n | \n
| Vintage 2018 Population Estimates: Components of Change Estimates | \nAnnual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through March. // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. See the Population Estimates Glossary at https://www.census.gov/programs-surveys/popest/about/glossary.html. // Net international migration in the United States includes the international migration of both native and foreign-born populations. Specifically, it includes: (a) the net international migration of the foreign born, (b) the net migration between the United States and Puerto Rico, (c) the net migration of natives to and from the United States, and (d) the net movement of the Armed Forces population between the United States and overseas. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program.// The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency in July 2015. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., Vintage 2018) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | \n2018 | \npep\n › components\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pep/components\n | \n
| Vintage 2018 Population Estimates: Housing Unit Estimates for US, States, and Counties | \nAnnual Housing Unit Estimates for the United States, States, and Counties // Source: U.S. Census Bureau, Population Division // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 housing units due to the Count Question Resolution program and geographic program revisions. For the housing unit estimates methodology statement, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html.// Each year, the Census Bureau's Population and Housing Unit Estimates Program utilizes current data on new residential construction, placements of manufactured housing, and housing unit loss to calculate change in the housing stock since the most recent decennial census, and produces a time series of housing unit estimates.. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2018) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population and Housing Unit Estimates Program provides additional information including population estimates, historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | \n2018 | \npep\n › housing\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pep/housing\n | \n
| Vintage 2018 Population Estimates: National Monthly Population Estimates | \nMonthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on these files. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | \n2018 | \npep\n › natmonthly\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pep/natmonthly\n | \n
| Vintage 2018 Population Estimates: Population Estimates | \nAnnual Population Estimates for the United States; States; Metropolitan Statistical Areas, Micropolitan Statistical Areas, and Related Statistical Areas; Counties; and Subcounty Places; and for Puerto Rico and Its Municipios: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through May. // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency in July 2015. // The 2010 Census did not ascertain the military status of the household population. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on this file. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., Vintage 2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html. | \n2018 | \npep\n › population\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/pep/population\n | \n
| Annual Economic Surveys: Business Patterns: Zipcode Business Patterns | \nZIP 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. | \n2018 | \nzbp | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2018/zbp\n | \n
| Current Population Survey: School Enrollment Supplement | \nProvides information on population 3 years old and older on school enrollment, junior or regular college attendance, and high school graduation. | \n2019 | \ncps\n › school\n › oct\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/cps/school/oct\n | \n
| Census Planning Database: Block Group | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning | \n2019 | \npdb\n › blockgroup\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pdb/blockgroup\n | \n
| Census Planning Database: Tract Level | \nNo description provided by data sponsor | \n2019 | \npdb\n › tract\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pdb/tract\n | \n
| Population Estimates: Estimates by Age, Sex, Race, and Hispanic Origin | \nAnnual Resident Population Estimates by Age, Sex, Race, and Hispanic Origin; for the United States, States, and Puerto Rico: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | \n2019 | \npep\n › charage\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pep/charage\n | \n
| Population Estimates: Estimates by Age Group, Sex, Race, and Hispanic Origin | \nAnnual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin; for the United States, States, Counties; and for Puerto Rico and its Municipios: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | \n2019 | \npep\n › charagegroups\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pep/charagegroups\n | \n
| Population Estimates: Census Bureau Version: Components of Change Estimates | \nAnnual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change; for the United States, States, Metropolitan Statistical Areas, Micropolitan Statistical Areas, Counties, and Puerto Rico: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through March. // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency in September 2018. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | \n2019 | \npep\n › components\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pep/components\n | \n
| Population Estimates: Housing Unit Estimates for US, States, and Counties | \nAnnual Housing Unit Estimates for the United States, States, and Counties: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 housing units due to the Count Question Resolution program and geographic program revisions // Each year, the Census Bureau's Population and Housing Unit Estimates Program utilizes current data on new residential construction, placements of manufactured housing, and housing unit loss to calculate change in the housing stock since the most recent decennial census, and produces a time series of housing unit estimates. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | \n2019 | \npep\n › housing\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pep/housing\n | \n
| Population Estimates: National Monthly Population Estimates | \nMonthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2020 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on this file. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. A time series of estimates is produced, beginning with the census. The reference date for all estimates is the first of the month. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | \n2019 | \npep\n › natmonthly\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pep/natmonthly\n | \n
| Population Estimates: Population Estimates | \nAnnual Population Estimates for the United States, States, Metropolitan Statistical Areas, Micropolitan Statistical Areas, Counties, Incorporated Places, and Minor Civil Divisions; and for Puerto Rico and Its Municipios: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through 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 September 2018. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html. | \n2019 | \npep\n › population\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2019/pep/population\n | \n
| Decennial Census: Decennial Self-Response Rate | \nDaily Decennial Self-Response Rates | \n2020 | \ndec\n › responserate\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2020/dec/responserate\n | \n
| Planning Database Block Group Level | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning. | \n2020 | \npdb\n › blockgroup\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2020/pdb/blockgroup\n | \n
| 2020 Planning Database - State and County Level | \nThis is a one-time release of the Census Bureau’s Planning Database (PDB). This version of the PDB is at the state and county levels of geography. It contains only select U.S. housing, demographic, and socioeconomic statistics from the 2010 Census and the American Community Survey, not the operational statistics found on most versions. This special release of the PDB can be easily combined with county and state level statistics from other data sources. | \n2020 | \npdb\n › statecounty\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2020/pdb/statecounty\n | \n
| Planning Database: Tract Level | \nThe PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning. | \n2020 | \npdb\n › tract\n | \nAggregate | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/2020/pdb/tract\n | \n
| Annual Economic Surveys: Annual Survey of Manufactures Area | \nThe Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis. | \n\n N/A\n | \ntimeseries\n › asm\n › area2012\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/asm/area2012\n | \n
| Annual Economic Surveys: Annual Survey of Manufactures Area | \nThe Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis. | \n\n N/A\n | \ntimeseries\n › asm\n › area2017\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/asm/area2017\n | \n
| Time Series Annual Survey of Manufactures: Statistics for Industry Groups and Industries | \nThe Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis. | \n\n N/A\n | \ntimeseries\n › asm\n › industry\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/asm/industry\n | \n
| Time Series Annual Survey of Manufactures: Value of Shipments for Product Classes | \nThe Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis. | \n\n N/A\n | \ntimeseries\n › asm\n › product\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/asm/product\n | \n
| Time Series Annual Survey of Manufactures: Statistics for All Manufacturing by State | \nThe Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis. | \n\n N/A\n | \ntimeseries\n › asm\n › state\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/asm/state\n | \n
| Annual Economic Surveys: Annual Survey of Manufactures Value | \nThe Annual Survey of Manufactures (ASM) provides key intercensal measures of manufacturing activity, products, and location for the public and private sectors. The ASM provides the best current measure of current U.S. manufacturing industry outputs, inputs, and operating status, and is the primary basis for updates of the Longitudinal Research Database (LRD). Census Bureau staff and academic researchers with sworn agent status use the LRD for micro data analysis. | \n\n N/A\n | \ntimeseries\n › asm\n › value2012\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/asm/value2012\n | \n
| Time Series Business Dynamics Statistics: Firm Statistics | \nThe Business Dynamics Statistics (BDS) is a public use data set of annual aggregate statistics describing establishment openings and closings, firm startups, job creation and destruction by firm size, age, industrial sector, and state. For more information about the dataset set https://www.census.gov/ces/dataproducts/bds/index.html | \n\n N/A\n | \ntimeseries\n › bds\n › firms\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/bds/firms\n | \n
| Time Series Economic Indicators Time Series -: Advance Report on Durable Goods Manufacturers' Shipments, Inventories, and Orders | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › advm3\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/advm3\n | \n
| Time Series Economic Indicators Time Series -: Business Formation Statistics | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › bfs\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/bfs\n | \n
| Time Series Economic Indicators Time Series -: U.S. International Trade in Goods and Services | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › ftd\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/ftd\n | \n
| Time Series Economic Indicators Time Series -: Housing Vacancies and Homeownership | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › hv\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/hv\n | \n
| Time Series Economic Indicators Time Series -: Manufacturers Shipments, Inventories, and Orders | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › m3\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/m3\n | \n
| Time Series Economic Indicators Time Series -: Advance Monthly Sales for Retail and Food Services | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › marts\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/marts\n | \n
| Time Series Economic Indicators Time Series -: Manufactured Homes Survey | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › mhs\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/mhs\n | \n
| Time Series Economic Indicators Time Series -: Manufactured Housing Survey (2014-Present) | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › mhs2\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/mhs2\n | \n
| Time Series Economic Indicators Time Series -: Monthly Retail Trade and Food Services | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › mrts\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/mrts\n | \n
| Time Series Economic Indicators Time Series -: Manufacturing and Trade Inventories and Sales | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › mtis\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/mtis\n | \n
| Time Series Economic Indicators Time Series -: Monthly Wholesale Trade: Sales and Inventories | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › mwts\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/mwts\n | \n
| Time Series Economic Indicators Time Series -: Quarterly Financial Report | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › qfr\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/qfr\n | \n
| Time Series Economic Indicators Time Series -: Quarterly Survey of Public Pensions | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › qpr\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/qpr\n | \n
| Time Series Economic Indicators Time Series -: Quarterly Services Survey | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › qss\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/qss\n | \n
| Time Series Economic Indicators Time Series -: Quarterly Summary of State and Local Taxes | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › qtax\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/qtax\n | \n
| Time Series Economic Indicators Time Series -: New Residential Construction | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › resconst\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/resconst\n | \n
| Time Series Economic Indicators Time Series -: New Home Sales | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › ressales\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/ressales\n | \n
| Time Series Economic Indicators Time Series -: Construction Spending | \nThe U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm. | \n\n N/A\n | \ntimeseries\n › eits\n › vip\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/eits/vip\n | \n
| Public Sector: Public Sector Annual Surveys: Public Sector Annual Surveys | \nThe Census of Governments identifies the scope and nature of the nation's state and local government sector; provides official counts of U.S. governments and authoritative benchmark figures of public finance and public employment. | \n\n N/A\n | \ntimeseries\n › govs\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/govs\n | \n
| Time Series Small Area Health Insurance Estimates: Small Area Health Insurance Estimates | \nThe Small Area Health Insurance Estimates (SAHIE) is the only source of single-year health insurance coverage estimates for all U.S. counties. SAHIE data can be used to analyze geographic variation in health insurance coverage, as well as disparities in coverage by race/ethnicity, sex, age and income levels that reflect thresholds for state and federal assistance programs. SAHIE are model-based enhancements of the American Community Survey (ACS) estimates, created by integrating additional information from administrative records, postcensal population estimates, and decennial census data. SAHIE methodology employs statistical modeling techniques to combine this supplemental information with survey data to produce estimates that are more reliable. | \n\n N/A\n | \ntimeseries\n › healthins\n › sahie\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/healthins/sahie\n | \n
| Time Series International Database: International Populations by Single Year of Age and Sex | \nMidyear population estimates and projections for all countries and areas of the world with a population of 5,000 or more // Source: U.S. Census Bureau, Population Division // Release Date: August 2017 // Note: Total population available from 1950 to 2050 for all countries and areas. Other demographic variables available from base year to 2050. Base year varies by country and therefore, data are not available for all years for all countries. See Methodology at http://www.census.gov/population/international/data/idb/informationGateway.php | \n\n N/A\n | \ntimeseries\n › idb\n › 1year\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/idb/1year\n | \n
| Time Series International Database: International Populations by 5 Year Age Groups and Sex | \nMidyear population estimates and projections for all countries and areas of the world with a population of 5,000 or more // Source: U.S. Census Bureau, Population Division // Release Date: August 2017 // Note: Total population available from 1950 to 2050 for all countries and areas. Other demographic variables available from base year to 2050. Base year varies by country and therefore, data are not available for all years for all countries. See Methodology at http://www.census.gov/population/international/data/idb/informationGateway.php | \n\n N/A\n | \ntimeseries\n › idb\n › 5year\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/idb/5year\n | \n
| Time Series International Trade: Monthly U.S. Exports by End-use Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports using the End-use classification system. The End-use endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › enduse\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/enduse\n | \n
| Time Series International Trade: Monthly U.S. Exports by Advanced Technology Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports using the Hi-Tech classification system. The Hi-Tech endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › hitech\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/hitech\n | \n
| Time Series International Trade: Monthly U.S. Exports by Harmonized System (HS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports using the Harmonized System (HS). The Census data API also provides quantity, value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › hs\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/hs\n | \n
| Time Series International Trade: Monthly U.S. Exports by North American Industry Classification System (NAICS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports using the North American Industry Classification System (NAICS). The NAICS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › naics\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/naics\n | \n
| Time Series International Trade: Monthly U.S. Exports by Port and Harmonized System (HS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports by port and Harmonized System (HS) code. The Port HS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the port level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › porths\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/porths\n | \n
| Time Series International Trade: Monthly U.S. Exports by Standard International Trade Classification (SITC) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports using the Standard International Trade Classification (SITC) system. The SITC endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › sitc\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/sitc\n | \n
| Time Series International Trade: Monthly U.S. Exports by State and Harmonized System (HS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports by state and Harmonized System (HS) code. The State HS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the state level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › statehs\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/statehs\n | \n
| Time Series International Trade: Monthly U.S. Exports by State and North American Industry Classification System (NAICS) | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports by state and North American Industry Classification System (NAICS). The State NAICS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the state level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › statenaics\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/statenaics\n | \n
| Time Series International Trade: Monthly U.S. Exports by Department of Agriculture Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date exports broken down by agricultural and nonagricultural commodities. The USDA endpoint in the Census data API provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › exports\n › usda\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/exports/usda\n | \n
| Time Series International Trade: Monthly U.S. Imports by End-use Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the End-use classification system. The End-use endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › enduse\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/enduse\n | \n
| Time Series International Trade: Monthly U.S. Imports by Advanced Technology Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the Hi-Tech classification system. The Hi-Tech endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › hitech\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/hitech\n | \n
| Time Series International Trade: Monthly U.S. Imports by Harmonized System (HS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the Harmonized System (HS). The Census data API also provides quantity, value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › hs\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/hs\n | \n
| Time Series International Trade: Monthly U.S. Imports by North American Industry Classification System (NAICS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the North American Industry Classification System (NAICS). The NAICS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › naics\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/naics\n | \n
| Time Series International Trade: Monthly U.S. Imports by Port and Harmonized System (HS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports by port and Harmonized System (HS) code. The Port HS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the port level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › porths\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/porths\n | \n
| Time Series International Trade: Monthly U.S. Imports by Standard International Trade Classification (SITC) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports using the Standard International Trade Classification (SITC) system. The SITC endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › sitc\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/sitc\n | \n
| Time Series International Trade: Monthly U.S. Imports by State and Harmonized System (HS) Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports by state and Harmonized System (HS) code. The State HS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the state level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › statehs\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/statehs\n | \n
| Time Series International Trade: Monthly U.S. Imports by State and North American Industry Classification System (NAICS) | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports by state and North American Industry Classification System (NAICS). The State NAICS endpoint in the Census data API also provides value, shipping weight, and method of transportation totals at the state level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › statenaics\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/statenaics\n | \n
| Time Series International Trade: Monthly U.S. Imports by Department of Agriculture Code | \nThe Census data API provides access to the most comprehensive set of data on current month and cumulative year-to-date imports broken down by agricultural and nonagricultural commodities. The USDA endpoint in the Census data API provides value, shipping weight, and method of transportation totals at the district level for all U.S. trading partners. The Census data API will help users research new markets for their products, establish pricing structures for potential export markets, and conduct economic planning. 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. | \n\n N/A\n | \ntimeseries\n › intltrade\n › imports\n › usda\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/intltrade/imports/usda\n | \n
| Time Series Current Population Survey: Poverty Status | \nThe Current Population Survey (CPS), sponsored jointly by the U.S. Census Bureau and the U.S. Bureau of Labor Statistics (BLS), is the primary source of labor force statistics for the population of the United States. The CPS is the source of numerous high-profile economic statistics, including the national unemployment rate, and provides data on a wide range of issues relating to employment and earnings. The CPS also collects extensive demographic data that complement and enhance our understanding of labor market conditions in the nation overall, among many different population groups, in the states and in substate areas. | \n\n N/A\n | \ntimeseries\n › poverty\n › histpov2\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/poverty/histpov2\n | \n
| Small Area Income and Poverty Estimates: Small Area Income and Poverty Estimates: State and County | \nThe U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all school districts, counties, and states. The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. | \n\n N/A\n | \ntimeseries\n › poverty\n › saipe\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/poverty/saipe\n | \n
| Small Area Income and Poverty Estimates: Small Area Income and Poverty Estimates: School Districts | \nThe U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all school districts, counties, and states. The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. In order to implement provisions under Title I of the Elementary and Secondary Education Act as amended, we produce total population, number of children ages 5 to 17, and number of related children ages 5 to 17 in families in poverty estimates for school districts. | \n\n N/A\n | \ntimeseries\n › poverty\n › saipe\n › schdist\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/poverty/saipe/schdist\n | \n
| Time Series Longitudinal Employer-Household Dynamics - QWI: Race by Ethnicity | \nThe Quarterly Workforce Indicators (QWI) are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows. The QWI are reported using detailed firm characteristics (geography, industry, age, size) and worker demographics information (sex, age, education, race, ethnicity). For more information see http://lehd.ces.census.gov/data/#qwi | \n\n N/A\n | \ntimeseries\n › qwi\n › rh\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/qwi/rh\n | \n
| Time Series Longitudinal Employer-Household Dynamics - QWI: Sex by Age | \nThe Quarterly Workforce Indicators (QWI) are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows. The QWI are reported using detailed firm characteristics (geography, industry, age, size) and worker demographics information (sex, age, education, race, ethnicity). For more information see http://lehd.ces.census.gov/data/#qwi | \n\n N/A\n | \ntimeseries\n › qwi\n › sa\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/qwi/sa\n | \n
| Time Series Longitudinal Employer-Household Dynamics - QWI: Sex by Education | \nThe Quarterly Workforce Indicators (QWI) are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows. The QWI are reported using detailed firm characteristics (geography, industry, age, size) and worker demographics information (sex, age, education, race, ethnicity). For more information see http://lehd.ces.census.gov/data/#qwi | \n\n N/A\n | \ntimeseries\n › qwi\n › se\n | \n\n N/A\n | \n\n geographies\n | \n\n variables\n | \n\n groups\n | \n\n examples\n | \n\n documentation\n | \n\n https://api.census.gov/data/timeseries/qwi/se\n | \n