This layer shows data on the number of establishments, total employment during the week of March 12th 2022, and total annual payroll for the 2-digit North American Industry Classification System (NAICS) Sector codes (excluding 11 and 99) and for NAICS 00, All Sectors (including 11 and 99). This is shown by county and state boundaries. This program is updated annually to contain the most currently released CBP data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Current Vintage: 2022CBP Table: CB2200CBPData downloaded from: Census Bureau's API for County Business PatternsDate of API call: July 5th 2024.National Figures: data.census.govThe United States Census Bureau's County Business Patterns Program (CBP):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. The geographic reference for CBP 2022 is the 2022 vintage. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., and Puerto Rico and Island Areas. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should refer to the Methodology page on the County Business Patterns website for additional information.Data shown in thousands of dollars are indicated by '($1000)' in the field aliasing. Average and Totals include NAICS 11 and 99.

This layer shows data on the number of establishments, total employment during the week of March 12th 2021, and total annual payroll for the 2-digit North American Industry Classification System (NAICS) Sector codes (excluding 11 and 99) and for NAICS 00, All Sectors (including 11 and 99). This is shown by county and state boundaries. This program is updated annually to contain the most currently released CBP data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Current Vintage: 2021CBP Table: CB2100CBPData downloaded from: Census Bureau's API for County Business PatternsDate of API call: July 11, 2023.National Figures: data.census.govThe United States Census Bureau's County Business Patterns Program (CBP):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. The geographic reference for CBP 2021 is the 2017 vintage. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., and Puerto Rico and Island Areas. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should refer to the Methodology page on the County Business Patterns website for additional information.Data shown in thousands of dollars are indicated by '($1000)' in the field aliasing. Average and Totals include NAICS 11 and 99.

This repository contains the raw data used in Patterns of Settlement Following Forced Migration: The Case of Bosnians in the United States. These data were downloaded in February 2018 from the U.S. Census Bureau’s American Community Survey website at https://www.census.gov/programs-surveys/acs. The code used to analyze these data and intermediate datasets derived from them is available in GitHub at https://github.com/JohnPalmer/bosnian_settlement.

The data includes, for each designated geographic area, employment and payroll data organized by NAICS. The North American Industry Classification System (NAICS) is used by the United States, Canada, and Mexico to classify businesses by industry. "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." (from website)

This layer shows data on the number of establishments, total employment during the week of March 12th 2021, and total annual payroll for the 2-digit North American Industry Classification System (NAICS) Sector codes (excluding 11 and 99) and for NAICS 00, All Sectors (including 11 and 99). This is shown by county and state boundaries. This program is updated annually to contain the most currently released CBP data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Current Vintage: 2021CBP Table: CB2100CBPData downloaded from: Census Bureau's API for County Business PatternsDate of API call: July 11, 2023.National Figures: data.census.govThe United States Census Bureau's County Business Patterns Program (CBP):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. The geographic reference for CBP 2021 is the 2017 vintage. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., and Puerto Rico and Island Areas. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should refer to the Methodology page on the County Business Patterns website for additional information.Data shown in thousands of dollars are indicated by '($1000)' in the field aliasing. Average and Totals include NAICS 11 and 99.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for German represents the number of people who listed German as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle.."With a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..Estimates of urban and rural populations, housing units...

Release Date: 2024-06-27.Release Schedule:.The County Business Patterns (CBP) data, including ZIP Code Business Patterns (ZBP) data, in this file were released on June 27, 2024...Key Table Information:.Beginning with reference year 2007, CBP and ZBP data are released using the Noise disclosure methodology to protect confidentiality. See Program Methodology for complete information on the coverage and methodology of the CBP and ZBP data series..Includes only establishments with payrolls...Four employment-size classes (1,000 to 1,499 employees, 1,500 to 2,499 employees, 2,500 to 4,999 employees, and 5,000 or more employees) are only available at the CSA, MSA, and county-levels...ZBP data by employment size class, shown at the 2-6 digit NAICS code levels only contains data on the number of establishments. ZBP data shown for NAICS code 00 (Total for all sectors) contains data on the number of establishments, total employment, first quarter payroll, and annual payroll...For additional details regarding Congressional Districts, please see Program Methodology...Data Items and Other Identifying Records:.This table contains data classified by Legal Form of Organization (U.S. and state level only) and employment size category of the establishment..Number of establishments.Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees during the pay period including March 12.Noise range for annual payroll, first-quarter payroll, and number of employees during the pay period including March 12..Geography Coverage:.The data are shown at the U.S., State, County, Metropolitan/ Micropolitan Statistical Areas, Combined Statistical Areas, 5-digit ZIP code, and Congressional District levels. Also available are data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at the state and county equivalent levels...Industry Coverage:.The data are shown at the 2- through 6- digit NAICS code levels for all sectors with published data, and for NAICS code 00 (Total for all sectors)...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/cbp/data/2022/CB2200CBP.zip..API Information:.County Business Patterns (CBP) data are housed in the County Business Patterns (CBP) API. For more information, see CBP and ZBP APIs...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The data are subject to nonsampling error such as errors of self-classification, as well as errors of response, nonreporting and coverage. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only.. .To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For detailed information about the methods used to collect and produce statistics, see Program Methodology..Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals (used prior to 2017).G - Low noise; cell value was changed by less than 2 percent by the application of noise.H - Moderate noise; cell value was changed by 2 percent or more but less than 5 percent by the application of noise.J - High noise; cell value was changed by 5 percent or more by the application of noise.N - Not available or not comparable.S - Withheld because estimates did not meet publication standards.X - Not applicable.r - Revised (represented as superscript).For a complete list of symbols, see County Business Patterns Glossary...Source:.U.S. Census Bureau, 2022 County Business Patterns..For more information about County Business Patterns, see the County Business Patterns website...Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Statistics Branch.(301)763-2580.ewd.county.business.patterns@census.gov

Release Date: 2022-05-26.Release Schedule:..The CBP data in this file were released on April 28, 2022. The ZIP Code Business Patterns (ZBP) data were released on May 26, 2022...Key Table Information:..Beginning with reference year 2007, CBP and ZBP data are released using Noise Infusion to protect confidentiality. See CBP Methodology for complete information on the coverage and methodology of the County Business Patterns and ZBP data series..Includes only establishments with payrolls...Four employment-size classes (1,000 to 1,499 employees, 1,500 to 2,499 employees, 2,500 to 4,999 employees, and 5,000 or more employees) are only available at the CSA, MSA, and County-levels...ZBP data by employment size class, shown at the 2-6 digit NAICS code levels only contains data on the number of establishments. ZBP data shown for NAICS code 00 (Total for all sectors) contains data on the number of establishments, employment, first quarter payroll, and annual payroll. ..Data Items and Other Identifying Records: ..This file contains data classified by Legal Form of Organization (U.S. and state level only) and employment size category of the establishment...Number of establishments..Annual payroll ($1,000)..First-quarter payroll ($1,000)..Number of employees during the pay period containing March 12..Noise range for annual payroll, first-quarter payroll, and number of employees during the pay period including March 12 ..Geography Coverage:..The data are shown at the U.S. level and by State, County, Metropolitan/Micropolitan Statistical Areas, Combined Statistical Areas, 5-digit ZIP code, and Congressional District levels. Also available are data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at the state and county equivalent-levels...Industry Coverage:..The data are shown at the 2- through 6- digit NAICS code levels for all sectors with published data, and for NAICS code 00 (Total for all sectors)...FTP Download:..Download the entire table at: https://www2.census.gov/programs-surveys/cbp/data/2020/CB2000CBP.zip ..API Information:..County Business Patterns (CBP) data are housed in the County Business Patterns (CBP) API. For more information, see CBP APIs...Methodology:..In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The data are subject to nonsampling error such as errors of self-classification, as well as errors of response, nonreporting and coverage. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. ..To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For detailed information about the methods used to collect and produce statistics, including sampling see CBP Methodology...Symbols:..D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals (used prior to 2017) .G - Low noise; cell value was changed by less than 2 percent by the application of noise .H - Moderate noise; cell value was changed by 2 percent or more but less than 5 percent by the application of noise.J - High noise; cell value was changed by 5 percent or more by the application of noise.N - Not available or not comparable.S - Withheld because estimates did not meet publication standards.X - Not applicable.r - Revised .For a complete list of symbols, see CBP Glossary...Source:..U.S. Census Bureau, 2020 County Business Patterns.For more information about County Business Patterns, see CBP Website...Contact Information:..U.S. Census Bureau.Economy-Wide Statistics Division.Business Statistics Branch.Tel: (301) 763 - 2580 .Email: ewd.county.business.patterns@census.gov ..Note: The Census Bureau did not collect district boundaries for the 117th Congress, in keeping with the practice of not collecting the session which aligns with the decennial census. As a result, County Business Patterns estimates were tabulated using 116th Congressional districts and state and local geographies.

This layer shows data on the number of establishments, total employment during the week of March 12th 2022, and total annual payroll for the 2-digit North American Industry Classification System (NAICS) Sector codes (excluding 11 and 99) and for NAICS 00, All Sectors (including 11 and 99). This is shown by county and state boundaries. This program is updated annually to contain the most currently released CBP data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Current Vintage: 2022CBP Table: CB2200CBPData downloaded from: Census Bureau's API for County Business PatternsDate of API call: July 5th 2024.National Figures: data.census.govThe United States Census Bureau's County Business Patterns Program (CBP):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. The geographic reference for CBP 2022 is the 2022 vintage. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., and Puerto Rico and Island Areas. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should refer to the Methodology page on the County Business Patterns website for additional information.Data shown in thousands of dollars are indicated by '($1000)' in the field aliasing. Average and Totals include NAICS 11 and 99.

Table NameGeography Area Series: County Business Patterns: 2015 Release ScheduleThe data in this file were released on April 20, 2017. Key Table InformationBeginning with reference year 2007, CBP data are released using the Noise Infusion method of disclosure avoidance to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the County Business Patterns data series. UniverseThe universe of this file is all operating establishments with one or more paid employees. This universe includes most establishments classified in the North American Industry Classification System (NAICS) Codes 11 through 813990. For specific exclusions and inclusions, see Industry Classification of Establishments. Geography CoverageThe data are shown at the U.S. level and by State, County, Metropolitan/Micropolitan Statistical Area (MSA), and Congressional District. Also available are data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at the state and county equivalent levels. Industry CoverageThe data are shown at the 2- through 6-digit NAICS code levels for all sectors with published data. Data Items and Other Identifying RecordsThis file contains data on the number of establishments, paid employees (for the pay period including March 12), first quarter payroll and annual payroll. Sort OrderData are presented in ascending geography by NAICS code sequence. FTP DownloadDownload the entire table at http://www2.census.gov/econ2015/CB/sector00/CB1500CBP.zip. Contact InformationU.S. Census Bureau Economy-Wide Statistics Division Business Statistics Branch Tel: (301)763-2580 Email: ewd.county.business.patterns@census.gov .NOTE: Data based on the 2013 County Business Patterns. CBP html tables and download files can be found at the County Business Patterns Website. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology. Data in this table represent those available when this report was created; data may not be available for all NAICS industries or geographies. Excludes most government employees, railroad employees, and self-employed persons..Source: U.S. Census Bureau, 2015 County Business Patterns.

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This layer shows data on the number of establishments, total employment during the week of March 12th 2021, and total annual payroll for the 2-digit North American Industry Classification System (NAICS) Sector codes (excluding 11 and 99) and for NAICS 00, All Sectors (including 11 and 99). This is shown by county and state boundaries. This program is updated annually to contain the most currently released CBP data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Current Vintage: 2021CBP Table: CB2100CBPData downloaded from: Census Bureau's API for County Business PatternsDate of API call: July 11, 2023.National Figures: data.census.govThe United States Census Bureau's County Business Patterns Program (CBP):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. The geographic reference for CBP 2021 is the 2017 vintage. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., and Puerto Rico and Island Areas. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should refer to the Methodology page on the County Business Patterns website for additional information.Data shown in thousands of dollars are indicated by '($1000)' in the field aliasing. Average and Totals include NAICS 11 and 99.

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Release Date: 2023-05-25.Release Schedule:..The CBP data in this file was released on April 27, 2023. The ZIP Code Business Patterns (ZBP) data was released on May 25, 2023...Key Table Information:..Beginning with reference year 2007, CBP and ZBP data are released using the Noise disclosure methodology to protect confidentiality. See Program Methodology for complete information on the coverage and methodology of the County Business Patterns and ZBP data series. .Includes only establishments with payroll...Four employment-size classes (1,000 to 1,499 employees, 1,500 to 2,499 employees, 2,500 to 4,999 employees, and 5,000 or more employees) are only available at the CSA, MSA, and county-levels...ZBP data by employment size class, shown at the 2-6 digit NAICS code levels only contains data on the number of establishments. ZBP data shown for NAICS code 00 (Total for all sectors) contains data on the number of establishments, total employment, first-quarter payroll, and annual payroll...For additional details regarding Congressional Districts, please see Program Methodology...Data Items and Other Identifying Records:..This table contains data classified by Legal Form of Organization (CBP U.S. and state level only) and employment size category of the establishment..Number of establishments..Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees during the pay period containing March 12.Noise range for annual payroll, first-quarter payroll, and number of employees during the pay period including March 12..Geography Coverage:..The data are shown at the U.S., State, County, Metropolitan/Micropolitan Statistical Areas, Combined Statistical Areas, 5-digit ZIP code, and Congressional District levels. Also available are data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at the state and county equivalent levels...Industry Coverage:..The data are shown at the 2- through 6- digit NAICS code levels for all sectors with published data, and for NAICS code 00 (Total for all sectors)...FTP Download:..Download the entire table at: https://www2.census.gov/programs-surveys/cbp/data/2021/CB2100CBP.zip..API Information:..County Business Patterns (CBP) data are housed in the County Business Patterns (CBP) API. For more information, see County Business Patterns and ZBP APIs...Methodology:..In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The data are subject to nonsampling error such as errors of self-classification, as well as errors of response, nonreporting and coverage. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only.. .To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For detailed information about the methods used to collect and produce statistics, see https://www.census.gov/programs-surveys/cbp/technical-documentation/methodology.html..Symbols:..D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals (used prior to 2017).G - Low noise; cell value was changed by less than 2 percent by the application of noise.H - Moderate noise; cell value was changed by 2 percent or more but less than 5 percent by the application of noise.J - High noise; cell value was changed by 5 percent or more by the application of noise.N - Not available or not comparable.S - Withheld because estimates did not meet publication standards.X - Not applicable.r - Revised (represented as superscript).For a complete list of symbols, see Glossary: Abbreviations and Symbols...Source:..U.S. Census Bureau, 2021 County Business Patterns..For more information about County Business Patterns, see the County Business Patterns website...Contact Information:..U.S. Census Bureau.Economy-Wide Statistics Division.Business Statistics Branch.(301)763-2580.ewd.county.business.patterns@census.gov

This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map shows Census tracts throughout the US based on if they are considered disadvantaged or partially disadvantaged according to Justice40 Initiative criteria. This is overlaid with the most recent American Community Survey (ACS) figures from the U.S. Census Bureau to communicate the predominant race that lives within these disadvantaged or partially disadvantaged tracts. Predominance helps us understand the group of population which has the largest count within an area. Colors are more transparent if the predominant race has a similar count to another race/ethnicity group. The colors on the map help us better understand the predominant race or ethnicity:Hispanic or LatinoWhite Alone, not HispanicBlack or African American Alone, not HispanicAsian Alone, not HispanicAmerican Indian and Alaska Native Alone, not HispanicTwo or more races, not HispanicNative Hawaiian and Other Pacific Islander, not HispanicSome other race, not HispanicSearch for any region, city, or neighborhood throughout the US, DC, and Puerto Rico to learn more about the population in the disadvantaged tracts. Click on any tract to learn more. Zoom to your area, filter to your county or state, and save this web map focused on your area to share the pattern with others. You can also use this web map within an ArcGIS app such as a dashboard, instant app, or story. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.Note: Justice40 tracts use 2010-based boundaries, while the most recent ACS figures are offered on 2020-based boundaries. When you click on an area, there will be multiple pop-ups returned due to the differences in these boundaries. From Justice40 data source:"Census tract geographical boundaries are determined by the U.S. Census Bureau once every ten years. This tool utilizes the census tract boundaries from 2010 because they match the datasets used in the tool. The U.S. Census Bureau will update these tract boundaries in 2020.Under the current formula, a census tract will be identified as disadvantaged in one or more categories of criteria:IF the tract is above the threshold for one or more environmental or climate indicators AND the tract is above the threshold for the socioeconomic indicatorsCommunities are identified as disadvantaged by the current version of the tool for the purposes of the Justice40 Initiative if they are located in census tracts that are at or above the combined thresholds in one or more of eight categories of criteria.The goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening toolPurpose"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40

This map highlights where the Black/African American populations in households have a computer, but no internet subscription in their household. The brightest oranges show where there are a higher percentage of Black/African Americans without an internet subscription. The larger symbols show where there are more Black/African Americans without internet at home. Both of these factors highlight the at-risk population with unequal opportunities. This can be seen throughout the United States at the state, county, and tract levels. Search for your area, or explore one of the bookmarks within the map to see areas with stark patterns.The data in this map contains the most recent American Community Survey (ACS) data from the U.S. Census Bureau. The Living Atlas layer in this map updates annually when the Census releases their new figures. To learn more, visit this FAQ, or visit the ACS website. Data note: For the tract geography level, the margin of error (MOE) is included in the pop-up as reference. A note from the Census about MOEs: "Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables."

This map highlights where the Black/African American populations in households have a computer, but no internet subscription in their household. The brightest oranges show where there are a higher percentage of Black/African Americans without an internet subscription. The larger symbols show where there are more Black/African Americans without internet at home. Both of these factors highlight the at-risk population with unequal opportunities. This can be seen throughout the United States at the state, county, and tract levels. Search for your area, or explore one of the bookmarks within the map to see areas with stark patterns.The data in this map contains the most recent American Community Survey (ACS) data from the U.S. Census Bureau. The Living Atlas layer in this map updates annually when the Census releases their new figures. To learn more, visit this FAQ, or visit the ACS website. Data note: For the tract geography level, the margin of error (MOE) is included in the pop-up as reference. A note from the Census about MOEs: "Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables."

This map shows the percentage of housing units that are owner-occupied in the United States. A unit is owner occupied if the owner or co-owner lives in the unit, even if it is mortgaged or not fully paid for.Areas in bright yellow have the highest rates of home ownership.The pattern is shown by states, counties, and tracts. The map opens in San Francisco, CA but the data is available nationwide (including Puerto Rico and Washington D.C.). Search for your area and save a new web map to create a local perspective. The data comes from the U.S. Census Bureau's American Community Survey (ACS). The layer used to make this map is updated annually when the Census releases their new estimates. Click here to find full documentation or here to find layers covering various demographic topics in ArcGIS Living Atlas.

Table NameGeography Area Series: County Business Patterns: 2016 Release ScheduleThe data in this file were released on April 19, 2018. Key Table InformationBeginning with reference year 2007, CBP data are released using the Noise Infusion method of disclosure avoidance to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the County Business Patterns data series. UniverseThe universe of this file is all operating establishments with one or more paid employees. This universe includes most establishments classified in the North American Industry Classification System (NAICS) Codes 11 through 813990. For specific exclusions and inclusions, see Industry Classification of Establishments. Geography CoverageThe data are shown at the U.S. level and by State, County, Metropolitan/Micropolitan Statistical Area (MSA), and Congressional District. Also available are data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at the state and county equivalent levels. Industry CoverageThe data are shown at the 2- through 6-digit NAICS code levels for all sectors with published data. Data Items and Other Identifying RecordsThis file contains data on the number of establishments, paid employees (for the pay period including March 12), first quarter payroll and annual payroll. Sort OrderData are presented in ascending geography by NAICS code sequence. FTP DownloadDownload the entire table at http://www2.census.gov/econ2016/CB/sector00/CB1600CBP.zip. Contact InformationU.S. Census Bureau Economy-Wide Statistics Division Business Statistics Branch Tel: (301)763-2580 Email: ewd.county.business.patterns@census.gov .NOTE: Data based on the 2016 County Business Patterns. CBP html tables and download files can be found at the County Business Patterns Website. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology. Data in this table represent those available when this report was created; data may not be available for all NAICS industries or geographies. Excludes most government employees, railroad employees, and self-employed persons..Source: U.S. Census Bureau, 2016 County Business Patterns.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Data about computer and Internet use were collected by asking respondents to select "Yes" or "No" to each type of computer and each type of Internet subscription. Therefore, respondents were able to select more than one type of computer and more than one type of Internet subscription..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distributio...