Release Date: 2020-11-19.Release Schedule:.The data in this file are based on the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry..Product lines are referenced by NAPCS collection codes in the table. For information about NAPCS, see North American Product Classification System...For the 2017 Economic Census, there has been a change to how Units of Measure is published as compared to prior Census Years. Manufacturing and Mining sectors are now publishing these units as they were collected on the forms. There is no longer a conversion factor applied prior to their published figures. For example, in prior Census Years, Mining collected quantities in the unit of measure shorts tons; however, it was published as a unit of measure code of 250, which represented quantities of short tons with the display label of 1,000 s tons. For 2017, Mining collected quantities in the unit of measure short tons, and it is being published as a unit of measure code of 910, which represents the display label of quantities of short tons as short tons with no conversion factor. ..The value displayed in the table is the percent of broad product sales, value of shipments, or revenue that was withheld due to additional protection requirements that were added from recently updated Census Bureau and IRS data confidentiality agreements, to avoid disclosing data for individual companies, or because the estimate does not meet publication standards for quality. The numerator is calculated as the sum of the broad product sales withheld from publication at the 6-digit NAICS level and then aggregated to the 2-digit NAICS level. The denominator is the published total sales, value of shipments, or revenue at the 2-digit NAICS level. ...Sector (6-digit NAICS level)Percent of total broad product sales, value of shipments, or revenue withheld from publication .21 4.9% .22 9.6% .23 2.6% .31-33 26.4% .42 12.5% .44-45 1.3% .48-49 12.5% .51 2.4% .52 15.9% .53 2.8% .54 3.3% .55 2.2% .56 0.6% .61 1.5% .62 0.6% .71 0.5% .72 0.0% .81 0.4% ....Data Items and Other Identifying Records: .Number of establishments.Total sales, value of shipments, or revenue of establishments with the NAPCS collection code ($1,000).Quantity produced for the NAPCS collection code (sectors 21 and 31-33 only).Quantity shipped for the NAPCS collection code (sectors 21 and 31-33 only).Sales, value of shipments, or revenue of NAPCS collection code ($1,000).NAPCS collection code sales, value of shipments, or revenue as % of industry sales, value of shipments, or revenue (%).NAPCS collection code sales, value of shipments, or revenue as % of total sales, value of shipments, or revenue of establishments with the NAPCS collection code (%).Number of establishments with NAPCS collection code as % of industry establishments (%).Range indicating percent of total NAPCS collection code sales, value of shipments, or revenue imputed.Relative standard error of NAPCS collection code sales, value of shipments, or revenue (%)..Each record includes a code which represents various types of products produced or carried, or services rendered, by an establishment...For Wholesale Trade (42), data are published by Type of Operation (All establishments)...Geography Coverage:.The data are shown for employer establishments at the U.S. level for all sectors and at the U.S. and state level for sectors 44-45, 61, 62, 71, 72, and 81. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels for all NAICS industries and selected 7 and 8 digit 2017 NAICS code levels for select industries. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Transportation and Warehousing (48-49): footnote 106- Railroad transportation and U.S. Postal Service are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. 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. Additionally, establishment counts are suppressed when ...

This dataset was created using data compiled from the US Bureau of Labor Statistics. Data were accessed using an R script and the USBC api to combine employment data for each US county by 2-digit NAICS sector. The R script can be found at the following RPubs page: https://rpubs.com/ryanthomas/LQ.

This layer contains data on the number of employees and the number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes from the the United States Census Bureau's County Business Patterns Program (CBP). This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Current Vintage: 2021 CBP Table: CB2000CBP. Data downloaded from: Census Bureau's API for County Business Patterns. Date of API call: January 2, 2024. 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. Downloaded data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop. 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 visit data.census.gov for details on these withheld records.

The enclosed files are crosswalks between the 2012 editions of the Census industry and North American Industry Classification System (NAICS) codes, from 2- to 6-digit NAICS codes.

Key Table Information.Table Title.Manufacturing: E-Commerce Statistics for the U.S.: 2022.Table ID.ECNECOMM2022.EC2231ECOMM.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Manufacturing: E-Commerce Statistics for the U.S.: 2022.Release Date.2025-01-23.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Sales, value of shipments, or revenue ($1,000)E-Shipments value ($1,000) E-Shipments as percent of total sales, value of shipments, or revenue (%) Range indicating imputed percentage of total sales, value of shipments, or revenueDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. level only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 3-digit 2022 NAICS code levels for the U.S. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector31/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who create their own es...

Key Table Information.Table Title.Nonemployer Statistics by Demographics series (NES-D): Legal Form of Organization Statistics for Nonemployer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties: 2022.Table ID.ABSNESD2022.AB2200NESD03.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Nonemployer Statistics by Demographics Company Summary.Source.U.S. Census Bureau, 2022 Economic Surveys, Nonemployer Statistics by Demographics.Release Date.2025-05-08.Release Schedule.The Nonemployer Statistics by Demographics (NES-D) is released yearly, beginning in 2017..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Table Universe.Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series).Data are also obtained from administrative records, the 2022 Economic Census, and other economic surveys..Methodology.Data Items and Other Identifying Records.Number of nonemployer firmsSales, value of shipments, or revenue of nonemployer firms ($1,000)These data are aggregated by sex, ethnicity, race, and veteran status when classifiable.The data are also shown by the following legal form of organization (LFO) categories: S-Corporations C-Corporations Individual proprietorships Partnerships Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the NES-D and the ABS are companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The 2022 data are shown for the total of all sectors (00) and the 2-digit NAICS code levels for:United StatesStates and the District of ColumbiaIn addition, the total of all sectors (00) NAICS is shown for:Metropolitan Statistical AreasMicropolitan Statistical AreasCountiesFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2-digit NAICS code levels depending on geography. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.NES-D nonemployer data are not conducted through sampling. Nonemployer Statistics (NES) data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The NES-D adds demographic characteristics to the NES data and produces the total firm counts and the total receipts by those demographic characteristics. The NES-D utilizes various administrative records (AR) and the Census Bureau data sources that include the Business Register (BR), Internal Revenue Service (IRS) tax Form 1040 data, tax Schedule K-1 data, Decennial Census and American Community Survey (ACS) data, Social Security Administration's database (Numident), and AR from the Department of Veterans Affairs (VA).For more information, see Nonemployer Statistics by Demographics Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY25-0195).This dataset contains both nonemployer and employer data.For the nonemployer data, the NES-D uses noise infusion as the primary method of disclosure avoidance for receipts, and In certain circumstances, some individual cells may be suppressed for additional disclosure avoidance. More information on nonemployer firm disclosure avoidance is available in the Nonemployer Statistics by Demographics Methodology.For the employer data, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on employer firm disclosure avoidance is available in the Annual Business Survey Methodology..Te...

North American Industry Classification System (NAICS): Period 2 - 2020Frequency: Semi-annualTable: 33-10-0306-01Release date: 2021-02-11Geography: Census subdivision, Census metropolitan areaSymbol legend:.. / not available for a specific reference periodThe footnotes in the table are represented in brackets.1) Businesses are counted according to the number of statistical locations" they have. For example a retail business with 10 stores and a he ad office is counted 11 times in the Canadian business counts. Please consult our guide for more information."2) The data includes active Canadian locations with employees.3) Fluctuations in these figures from one reference period to another can come from methodological changes (for example, changes to the method for identifying inactive units or in business industrial classification strategies). As a result, these data do not only represent changes in the business population over time. Statistics Canada advises users not to use these data as a time series.4) The employment size ranges provided should not be used to calculate total number of employees.5) The 2017 version of the North American Industry Classification System (NAICS) is used for this table."Cite: Statistics Canada. Table 33-10-0306-01 Canadian Business Counts, with employees, census metropolitan areas and census subdivisions, December 2020https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3310030601The 2017 version of the North American Industry Classification System (NAICS) is used for this table."

Release Date: 2021-06-10.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll..For the Professional, Scientific, and Technical Services (54) and Other Services (except Public Administration) (81) sectors, data are presented for establishments subject to federal income tax only. No data provided for establishments exempt from federal income tax...Data Items and Other Identifying Records:.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees..Each record includes a code which represents the enterprise support industry served...For Professional, Scientific, and Technical Services (54) and Other Services (except Public Administration) (81), data are published by Tax Status (Establishments subject to federal income tax) only. No data is provided for establishments exempt from federal income tax...Geography Coverage:.The data are shown for employer establishments at the U.S. level only. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2-digit 2017 NAICS code level for selected industries including Transportation and Warehousing (48-49), Information (51), Professional, Scientific, and Technical Services (54), Administrative and Support and Waste Management and Remediation Services (56), and Other Services (except Public Administration) (81). Data are also shown for 2017 NAICS code 551114. For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:.106: Railroad transportation and U.S. Postal Service are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700ENTSUP.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. 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. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

Context

The Monthly State Retail Sales (MSRS) is the Census Bureau's new experimental data product featuring modeled state-level retail sales. This is a blended data product using Monthly Retail Trade Survey data, administrative data, and third-party data. Year-over-year percentage changes are available for Total Retail Sales excluding Non-store Retailers as well as 11 retail North American Industry Classification System (NAICS) retail subsectors. These data are provided by state and NAICS codes beginning with January 2019.

Content

Geography: US

Time period: 2019 - 2022

Unit of analysis: US Census Bureau's Monthly State Retail Sales Data

Variables

Acknowledgements

Datasource: United States Census Bureau's Monthly State Retail Sales

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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.

Release Date: 2021-03-11.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY20-424)...Release Schedule:.Data in this file come from estimates of technology production of employer firms from the 2019 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2019 ABS collection year produces statistics for the 2018 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.This is one of twenty tables in the 2019 ABS technology series to provide detailed technology use and production statistics with select economic and demographic characteristics of businesses (TCB) for U.S. employer firms that reported the sex, ethnicity, race, and veteran status for up to four persons owning the largest percentage(s) of the business. The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Firms are asked to report their employees as of the March 12 pay period...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Percent of employer firms (%). Sales and receipts of employer firms (reported in $1,000s of dollars). Percent of sales and receipts of employer firms (%). Number of employees (during the March 12 pay period). Percent of employees (%). Annual payroll (reported in $1,000s of dollars). Percent of annual payroll (%)...Data Notes:.. Percentage statistics are based on the share of firms that reported data in each technology group. The total number of firms that reported data for each technology are captured in the Total Reporting counts. For example, the total number of firms that selected any response on whether they produced Artificial Intelligence Technology Based Goods and Services on the 2019 ABS questionnaire, represent the number of firms in Artificial Intelligence: Total reporting statistic....Technology Characteristics:.The ABS was designed to include select questions about technology, innovation, and research and development from multiple reference periods and to incorporate new content each survey year based on topics of relevance...Estimates are derived from firms reporting the characteristics tabulated in this dataset. Percentages are always based on total reporting (defined above) and are not recalculated when the dataset is resorted...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and the 2-digit NAICS code levels for:..United States. States and the District of Columbia...Footnotes:.Footnote 660 - Agriculture, forestry, fishing and hunting (Sector 11): Crop and Animal Production (NAICS 111 and 112) are out of scope..Footnote 661 - Transportation and warehousing (Sector 48-49): Rail Transportation (NAICS 482) and the Postal Service (NAICS 491) are out of scope..Footnote 662 - Finance and insurance (Sector 52): Monetary Authorities-Central Banks (NAICS 521) and Funds, Trusts, and Other Financial Vehicles (NAICS 525) are out of scope..Footnote 663 - Other services, except public administration (Sector 81): Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813) and Private Households (NAICS 814) are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/abs/data/2018/AB1800TCB06A.zip...API Information:.Annual Business Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2018/abstcb.html...Methodology:.To maintain confidentiality, the Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the Census Bureau as the source of the original data only. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology...Symbols:. D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals. S - ...

This dataset is a customization of Statistics Canada data to present information on the employment by NAICS 2, 3, and 4 digit code by for Alberta’s economic regions and census metropolitan areas for the years 1987 to 2013 using annual averages.

This layer shows data on the value of sales, shipments, receipts, or revenue for the 2-digit North American Industry Classification System (NAICS) sector codes. This is shown by county and state boundaries. This program is updated annually to contain the most currently released EC 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: 2017CBP Table: EC1700BASICData downloaded from: Census Bureau's API for Economic CensusDate of API call: June 1, 2020National Figures: data.census.govThe United States Census Bureau's Economic Census Program (EC):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:This layer is updated automatically when the most current vintage of CBP data are released each year, usually in June. The layer always contains the latest available CBP estimates.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. 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 51 records - all US states and Washington D.C.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 visit data.census.gov or Census Business Builder for more details on these withheld records.

Key Table Information.Table Title.Nonemployer Statistics by Demographics series (NES-D): Statistics for Employer and Nonemployer Firms by Industry and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2023.Table ID.ABSNESD2023.AB00MYNESD01D.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Nonemployer Statistics by Demographics Company Summary.Source.U.S. Census Bureau, 2023 Economic Surveys, Nonemployer Statistics by Demographics.Release Date.2025-11-20.Release Schedule.The Nonemployer Statistics by Demographics (NES-D) is released yearly, beginning in 2017..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Table Universe.Data in this table combines estimates from the Annual Business Survey (employer firms) and the Nonemployer Statistics by Demographics (nonemployer firms).Includes U.S. firms with no paid employment or payroll, annual receipts of $1,000 or more ($1 or more in the construction industries) and filing Internal Revenue Service (IRS) tax forms for sole proprietorships (Form 1040, Schedule C), partnerships (Form 1065), or corporations (the Form 1120 series).Includes U.S. employer firms estimates of business ownership by sex, ethnicity, race, and veteran status from the 2024 Annual Business Survey (ABS) collection. The employer business dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered.Data are also obtained from administrative records, the 2022 Economic Census, and other economic surveys. Note: For employer data only, the collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2024 ABS collection year produces statistics for the 2023 reference year. The "Year" column in the table is the reference year..Methodology.Data Items and Other Identifying Records.Total number of employer and nonemployer firmsTotal sales, value of shipments, or revenue of employer and nonemployer firms ($1,000)Number of nonemployer firmsSales, value of shipments, or revenue of nonemployer firms ($1,000)Number of employer firmsSales, value of shipments, or revenue of employer firms ($1,000)Number of employeesAnnual payroll ($1,000)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Veteran Status (defined as having served in any branch of the U.S. Armed Forces) Veteran Equally veteran/nonveteran Nonveteran Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the NES-D and the ABS are companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The 2023 data are shown for the total of all sectors (00) and the 2- to 6-digit NAICS code levels for:United StatesStates and the District of ColumbiaIn addition, the total of all sectors (00) NAICS and the 2-digit NAICS code levels for:Metropolitan Statistical AreasMicropolitan Statistical AreasMetropolitan DivisionsCombined Statistical AreasCountiesEconomic PlacesFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2- through 6-digit NAICS code levels depending on geography. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.NES-D nonemployer data are not conducted through sampling. Nonemployer Statistics (NES) data originate from statistical information obtained through business inco...

This layer contains data on the number of employees and number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes. This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Current Vintage: 2022CBP Table: CB2000CBPData downloaded from: Census Bureau's API for County Business Patterns Date of API call: January 3, 2025 The 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. 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). 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 visit data.census.gov or Census Business Builder for more details on these withheld records.Data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop.

This table contains data from the December release of Canadian Business Counts for 2007 until the latest complete year. The data includes the year, 2-digit North American Industry Classification System (NAICS) code, and a count of the number of businesses by number of employees. The table data shows the number of businesses categorized by the number of employees they have. Please ensure you read the notes provided below, as there is very important information on classification and comparability. NotesStatistics Canada advises users not to use these data as a time series. Further, the counts may reflect some of the business openings and closures caused by the COVID-19 pandemic, although they will not be fully represented as the evolving resumption or permanent closure of businesses may not yet be fully processed and confirmed by Statistics Canada's Business Register (The Daily — Canadian business counts, December 2021 (statcan.gc.ca)).Changes in methodology or in business industrial classification strategies used by Statistics Canada's Business Register can create increases or decreases in the number of active businesses reported in the data on Canadian business patterns. As a result, these data do not represent changes in the business population over time. Statistics Canada recommends users not to use these data as a time series. Beginning in December 2014, there were several important changes that were made:

The data appear in two separate series, one covering locations with employees, the other covering locations without employees. The second series corresponds to locations previously coded to the employment category called "indeterminate." A new North American Industrial Classification System (NAICS) category has been added to include locations that have not yet received a NAICS code: unclassified. It represents an additional 78,718 locations with employees and 313,107 locations without employees. The second series, locations without employees, also includes locations that were not previously included in tables but that meet the criteria used to define the Business Register coverage. The impact of the change will be the inclusion of approximately 600,000 additional locations.

Before 2014, the following notes apply:

The establishments in the "Indeterminate" category do not maintain an employee payroll, but may have a workforce which consists of contracted workers, family members or business owners. However, the Business Register does not have this information available, and has therefore assigned the establishments to an "Indeterminate" category. This category also includes employers who did not have employees in the last 12 months. Please note that the employment size ranges are based on data derived from payroll remittances. As such, it should be viewed solely as a business stratification variable. Its primary purpose is to improve the efficiency of samples selected to conduct statistical surveys. It should not be used in any manner to compile industry employment estimates. Employment, grouped in employment size ranges, is more often than not an estimation of the annual maximum number of employees. For example, a measure of "10 employees" could represent "10 full-time employees", "20 part-time employees" or any other combination.For more information refer to Statistics Canada's Definitions and Concepts used in Business Register.

Introduction

ExioNAICS is the first enterprise-level ML-ready benchmark dataset tailored for GHG emission estimation, bridging sector classification with carbon intensity analysis. In contrast to broad sectoral databases like ExioML, which offer global coverage of 163 sectors across 49 regions, ExioNAICS focuses on enterprise granularity by providing 20,850 textual descriptions mapped to validated NAICS codes and augmented with 166 sectoral carbon intensity factors. This design enables the automation of Scope 3 emission estimates (e.g., from purchased goods and services) at the firm level, a critical yet often overlooked component of supply chain emissions.

ExioNAICS is derived from the high-quality EE-MRIO dataset, ensuring robust economic and environmental data. By integrating firm-specific text descriptions, NAICS industry labels, and ExioML-based carbon intensity factors, ExioNAICS overcomes key data bottlenecks in enterprise-level GHG accounting. It significantly lowers the entry barrier for smaller firms and researchers by standardizing data formats and linking them to a recognized classification framework.

In demonstrating its usability, we formulate a NAICS classification and subsequent emission estimation pipeline using contrastive learning (Sentence-BERT). Our results showcase near state-of-the-art retrieval accuracy, paving the way for more accessible, cost-effective, and scalable approaches to corporate carbon accounting. ExioNAICS thus facilitates synergy between machine learning and climate research, fostering the integration of advanced NLP techniques in eco-economic studies at the enterprise scale.

Dataset

ExioNAICS serves as a hybrid textual and numeric dataset, capturing both enterprise descriptions (text modality) and sectoral carbon intensity factors (numeric modality). These data components are linked through NAICS codes, allowing end-to-end modeling of how enterprise descriptions map to sector emission intensities. Key dataset features include:

• Enterprise Description- NAICS Description- Sectoral Emission Factor- Over 20,000 textual entries- Hierarchical coverage: NAICS 2–6 digit codes (20 to 1,114 categories)

NAICS Classification

NAICS Classification is a fundamental component of enterprise-level GHG emission estimation. By assigning each firm to the appropriate sector category, practitioners can reference the corresponding carbon intensity factors, facilitating more accurate reporting. ExioNAICS adopts a natural language processing approach to NAICS classification, treating the task as an information retrieval problem.

Each enterprise description (query) is encoded separately, and matched against NAICS descriptions (corpus) based on the cosine similarity of their embeddings. This methodology leverages a dual-tower architecture, wherein the first tower processes the query (enterprise text) and the second tower processes NAICS descriptions.

We apply machine learning to fine-tune a pre-trained Sentence-BERT model. Zero-shot SBERT models may achieve only around 20% Top-1 accuracy on the 1000 classes sector classification task, whereas contrastive fine-tuning raises this to over 75%. Further preprocessing exceeding 77% Top-1 accuracy, such as lowercasing and URL removal, can add incremental gains, leading to state-of-the-art results.

Versions

Version 1 using ExioML as Emission Factor, Version 2 using EPA as Emission Factor.

Citation

@article{guo2025group, title={Group Reasoning Emission Estimation Networks}, author={Guo, Yanming and Qian, Xiao and Credit, Kevin and Ma, Jin}, journal={arXiv preprint arXiv:2502.06874}, year={2025} }

The Manufacturing E-Commerce Statistics measures the total e-commerce data for establishments of firms with payroll for the U.S. level of manufacturing shipments and e-shipments collected by the U.S. Census Bureau at the 2- through 3-digit 2022 NAICS code levels. These e-commerce shipments (e-shipments) are online orders accepted for manufactured products from customers, including shipments to other domestic establishments of the same company for further manufacture, assembly, or fabrication where price and terms of sale are negotiated over the Internet, Extranet, Electronic Data Interchange (EDI) network, e-mail, or other online system. Payment may or may not be made online. The data items included are the sales, value of shipments, or revenue in thousands of dollars; e-shipments value in thousands of dollars; and e-shipments as a percent of total sales, value of shipments, or revenue.

Data on work activity during the reference year by industry sector (2-digit code) from the North American Industry Classification System (NAICS) 2017, occupation broad category (1-digit code) from the National Occupational Classification (NOC) 2021, income statistics and age, for the population aged 15 years and over in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

This dataset is a customization of Statistics Canada data to present information on the number of employees, average hourly earnings and average actual hours by gender, age group, education, firm size, wage distribution by rural/urban areas by 2 and 3 digit North American Industry Classification (NAICS) codes for Alberta from January 2014 to December 2018.