US Industry Data by State, by Industry

Number of Establishments, Sales, Payroll, and Employees

By Gary Hoover [source]

About this dataset

This data set provides a detailed look into the US economy. It includes information on establishments and nonemployer businesses, as well as sales revenue, payrolls, and the number of employees. Gleaned from the Economic Census done every five years, this data is a valuable resource to anyone curious about where the nation was economically at the time. With columns including geographic area name, North American Industry Classification System (NAICS) codes for industries, descriptions of those codes meaning of operation or tax status, and annual payroll, this information-rich dataset contains all you need to track economic trends over time. Whether you’re a researcher studying industry patterns or an entrepreneur looking for market insight — this dataset has what you’re looking for!

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How to use the dataset

This dataset provides detailed US industry data by state, including the number of establishments, value of sales, payroll, and number of employees. All the data is based on the North American Industry Classification System (NAICS) code for each specific industry. This will allow you to easily analyze and compare industries across different states or regions.

Research Ideas

• Analyzing the economic impact of a new business or industry trends in different states: Comparing the change in the number of establishments, payroll, and employees over time can give insight into how a state is affected by a new industry trend or introduction of a new service or product.
• Estimating customer sales potential for businesses: This dataset can be used to estimate the potential customer base for businesses in different geographic areas. By analyzing total business done by non-employers in an area along with its estimated population can help estimate how much overall sales potential exists for a given region.
• Tracking competitor performance: By looking at shipments, receipts, and value of business done across industries in different regions or even cities, companies can track their competitors’ performance and compare it to their own to better assess their strategies going forward

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: 2012 Industry Data by Industry and State.csv | Column name | Description | |:----------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------| | Geographic area name | The name of the geographic area the data is for. (String) | | NAICS code | The North American Industry Classification System (NAICS) code for the industry. (String) | | Meaning of NAICS code | The description of the NAICS code. (String) | | Meaning of Type of operation or tax status code | The description of the type of operation or tax status code. (String) ...

This dataset shows the list of United States North American Industry Classification System (NAICS) Codes, Business Profiles by Sales and Employees. These codes are used by businesses and government authorities to differentiate types of business according to their process of production.

This table replaces tables 36-10-0394 and 36-10-0395. Data in this table are not fully comparable with those previously published. Aggregate T001 combines the North American Industry Classification System (NAICS) codes 11-91. Aggregate T002 combines the North American Industry Classification System (NAICS) codes 11-33. Aggregate T003 combines the North American Industry Classification System (NAICS) codes 41-91. Aggregate T010 combines the North American Industry Classification System (NAICS) codes 21, 22, 31-33, 562. Aggregate T011 combines the North American Industry Classification System (NAICS) codes 311-316, 322-326. Aggregate T012 combines the North American Industry Classification System (NAICS) codes 321, 327-339. Aggregate T013 combines the North American Industry Classification System (NAICS) code 334, excluding 3345, 4173, 5112, 517, 518, 5415, 8112. Aggregate T014 combines the North American Industry Classification System (NAICS) code 334, excluding 3345. Aggregate T015 combines the North American Industry Classification System (NAICS) codes 4173, 5112, 517, 518, 5415, 8112. Aggregate T016 combines the North American Industry Classification System (NAICS) codes 211, 2121, 21229, 213111, 213118, 2211, 2212, 32411, 486. Aggregate 11A combines the North American Industry Classification System (NAICS) codes 111, 112. Industry 111A combines the North American Industry Classification System (NAICS) code 111, excluding 1114. Industry 115A combines the North American Industry Classification System (NAICS) codes 1151, 1152. Industry 21239A combines the North American Industry Classification System (NAICS) codes 212393, 212394, 212395, 212397, 212398. Industry 21311A combines the North American Industry Classification System (NAICS) codes 213111, 213118. Industry 21311B combines the North American Industry Classification System (NAICS) codes 213117, 213119. Aggregate 221A combines the North American Industry Classification System (NAICS) codes 2212, 2213. Industries in sector 23 are special hybrids that correspond to sections of the North American Industry Classification System (NAICS) code 23. Aggregate 311A combines the North American Industry Classification System (NAICS) codes 3112, 3118, 3119. Industry 3121A combines the North American Industry Classification System (NAICS) codes 31213, 31214. Industry 31A combines the North American Industry Classification System (NAICS) codes 313, 314. Industry 31B combines the North American Industry Classification System (NAICS) codes 315, 316. Industry 3241A combines the North American Industry Classification System (NAICS) code 324, excluding 32411. Aggregate 325A combines the North American Industry Classification System (NAICS) codes 3255, 3256, 3259. Industry 327A combines the North American Industry Classification System (NAICS) code 327, excluding 3273. Industry 332A combines the North American Industry Classification System (NAICS) codes 3322, 3329. Aggregate 333A combines the North American Industry Classification System (NAICS) codes 3332, 3333. Industry 334A combines the North American Industry Classification System (NAICS) codes 3343, 3345, 3346. Aggregate 48Z combines the North American Industry Classification System (NAICS) codes 485, 487. Industry 48A combines the North American Industry Classification System (NAICS) codes 4852, 4854, 4855, 4859, 487. Industry 486A combines the North American Industry Classification System (NAICS) codes 4861, 4869. Aggregate 49A combines the North American Industry Classification System (NAICS) codes 491, 492. Industry 5111A combines the North American Industry Classification System (NAICS) codes 51112, 51113, 51114, 51119. Industry 5121A combines the North American Industry Classification System (NAICS) codes 51211, 51212, 51219. Aggregate 52B combines the North American Industry Classification System (NAICS) codes 521, 5221. Industry 5221A combines the North American Industry Classification System (NAICS) codes 52211, 52219. Industry 52A combines the North American Industry Classification System (NAICS) codes 523, 526. Owner-occupied dwellings (industry 5311A) is defined as resident households who own the dwelling where they reside and who are considered for purpose of the National Accounts to receive an income in kind equivalent to the market rental value of their dwelling. Industry 531A combines the North American Industry Classification System (NAICS) codes 5312, 5313. Industry 532A combines the North American Industry Classification System (NAICS) code 532, excluding 5321. Aggregate 541A combines the North American Industry Classification System (NAICS) codes 5411, 5412. Aggregate 541B combines the North American Industry Classification System (NAICS) codes 5414, 5416, 5417, 5419. Industry 561A combines the North American Industry Classification System (NAICS) codes 5612, 5619. Aggregate 611B combines the North American Industry Classification System (NAICS) code 61, excluding 6113. Industry 611A combines the North American Industry Classification System (NAICS) codes 6114-6117. Aggregate 62X combines the North American Industry Classification System (NAICS) code 62, excluding 624. Industry 621A combines the North American Industry Classification System (NAICS) codes 6213, 6214, 6215, 6216, 6219. Industry 71A combines the North American Industry Classification System (NAICS) codes 711, 712. Industry 713A combines the North American Industry Classification System (NAICS) codes 7131, 7139. Industry 721A combines the North American Industry Classification System (NAICS) codes 7212, 7213. Industry 811A combines the North American Industry Classification System (NAICS) codes 8112, 8113, 8114. Aggregate 81A combines the North American Industry Classification System (NAICS) codes 812, 814. Industry 812A combines the North American Industry Classification System (NAICS) codes 8121, 8129. Industry 813A combines the North American Industry Classification System (NAICS) code 813, excluding 8131. Industry 911A combines the North American Industry Classification System (NAICS) code 911, excluding 9111. Aggregate 91A combines the North American Industry Classification System (NAICS) codes 913, 914. With the November 10, 2015 release, the industry structure shows the Aquaculture industry (NAICS 1125) and Animal production (excluding aquaculture) (Industry 112A) separately, which were previously combined under the Animal production industry (NAICS 112). Industry 112A combines the North American Industry Classification System (NAICS) code 112, excluding 1125. Aggregate T018 combines the North American Industry Classification System (NAICS) codes 61, 62, 91. Aggregate 23X combines industry codes 23C, 23E. Aggregate 325B combines the North American Industry Classification System (NAICS) codes 3252, 3255. Aggregate 336Y combines the North American Industry Classification System (NAICS) codes 3361, 3362, 3363. Aggregate 51A combines the North American Industry Classification System (NAICS) codes 5152, 517, 519. Aggregate 52X combines the North American Industry Classification System (NAICS) codes 521, 522. Aggregate 522A combines the North American Industry Classification System (NAICS) codes 5222, 5223. Industry 53A combines the North American Industry Classification System (NAICS) codes 533, 532, excluding 5321. Aggregate 561B combines the North American Industry Classification System (NAICS) codes 5611, 5612, 5613, 5614, 5619. The gross domestic product (GDP) estimates for the period 1997 to 2006 have been revised to improve the time series continuity of the GDP by industry measures. Aggregate 453X combines industry codes 453A, 453BL. Aggregate T020 combines the North American Industry Classification System (NAICS) codes 11-91, excluding codes 111412, 111995, 453993. Aggregate T021 combines the North American Industry Classification System (NAICS) codes 111412, 111995, 453993. With May 1, 2019 release, the gross domestic product (GDP) by industry adopted the North American Industry Classification System (NAICS) Canada 2017 version 3.0." Aggregate 453B is equivalent to the North American Industry Classification System (NAICS) code 453993. Aggregate 111X combines the North American Industry Classification System (NAICS) codes 111, excluding codes 111412, 111995. Aggregate 111C combines the North American Industry Classification System (NAICS) codes 111412, 111995. Aggregate 111Y combines the North American Industry Classification System (NAICS) codes 111, excluding industry code 111CU. Aggregate 4AA combines the North American Industry Classification System (NAICS) codes 44-45, excluding 453993. Aggregate 4AZ combines the North American Industry Classification System (NAICS) codes 44-45, excluding industry code 453BU. Since October 17, 2018, the sale of cannabis for non-medical purposes is legal in Canada. The gross domestic product (GDP) by industry estimates will begin to take into account this activity and the licensed production of cannabis, as well as the unlicensed production and sale of cannabis, in the release of May 1, 2019 data. For more information, please read the article "https://www150.statcan.gc.ca/n1/pub/13-605-x/2018001/article/54969-eng.htm">Integrating the production With May 1, 2019 release, the gross domestic product (GDP) by industry adopted the North American Industry Classification System (NAICS) Canada 2017 version 3.0. As a result the conventional oil and gas extraction industry was renamed "Oil and gas extraction (except oil sands)" and recoded from 211113 to 21111." With May 1, 2019 release, the gross domestic product (GDP) by industry adopted the North American Industry Classification System (NAICS) Canada 2017 version 3.0. As a result the non

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly.

VITAL SIGNS INDICATOR
Jobs by Industry (EC1)

FULL MEASURE NAME
Employment by place of work by industry sector

LAST UPDATED
December 2022

DESCRIPTION
Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

DATA SOURCE
Bureau of Labor Statistics, Quarterly Census of Employment and Wages (QCEW) - https://www.bls.gov/cew/downloadable-data-files.htm
1990-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Quarterly Census of Employment and Wages (QCEW) employment data is reported by the place of work and represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered.

Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations.

The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of California's employment in that same sector. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.

Data is mainly pulled from aggregation level 73, which is county-level summarized at the North American Industry Classification System (NAICS) supersector level (12 sectors). This aggregation level exhibits the least loss due to data suppression, in the magnitude of 1-2 percent for regional employment, and is therefore preferred. However, the supersectors group together NAICS 11 Agriculture, Forestry, Fishing and Hunting; NAICS 21 Mining and NAICS 23 Construction. To provide a separate tally of Agriculture, Forestry, Fishing and Hunting, the aggregation level 74 data was used for NAICS codes 11, 21 and 23.

QCEW reports on employment in Public Administration as NAICS 92. However, many government activities are reported with an industry specific code - such as transportation or utilities even if those may be public governmental entities. In 2021 for the Bay Area, the largest industry groupings under public ownership are Education and health services (58%); Public administration (29%) and Trade, transportation, and utilities (29%). With the exception of Education and health services, all other public activities were coded as government/public administration, regardless of industry group.

For the county data there were some industries that reported 0 jobs or did not report jobs at the desired aggregation/NAICS level for the following counties/years:

Farm:
(aggregation level: 74, NAICS code: 11) - Contra Costa: 2008-2010 - Marin: 1990-2006, 2008-2010, 2014-2020 - Napa: 1990-2004, 2013-2021 - San Francisco: 2019-2020 - San Mateo: 2013

Information:
(aggregation level: 73, NAICS code: 51) - Solano: 2001

Financial Activities:
(aggregation level: 73, NAICS codes: 52, 53) - Solano: 2001

Unclassified:
(aggregation level: 73, NAICS code: 99) - All nine Bay Area counties: 1990-2000 - Marin, Napa, San Mateo, and Solano: 2020 - Napa: 2019 - Solano: 2001

VITAL SIGNS INDICATOR
Jobs by Industry (EC1)

FULL MEASURE NAME
Employment by place of work by industry sector

LAST UPDATED
December 2022

DESCRIPTION
Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

DATA SOURCE
Bureau of Labor Statistics, Quarterly Census of Employment and Wages (QCEW) - https://www.bls.gov/cew/downloadable-data-files.htm
1990-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Quarterly Census of Employment and Wages (QCEW) employment data is reported by the place of work and represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered.

Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations.

The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of California's employment in that same sector. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.

Data is mainly pulled from aggregation level 73, which is county-level summarized at the North American Industry Classification System (NAICS) supersector level (12 sectors). This aggregation level exhibits the least loss due to data suppression, in the magnitude of 1-2 percent for regional employment, and is therefore preferred. However, the supersectors group together NAICS 11 Agriculture, Forestry, Fishing and Hunting; NAICS 21 Mining and NAICS 23 Construction. To provide a separate tally of Agriculture, Forestry, Fishing and Hunting, the aggregation level 74 data was used for NAICS codes 11, 21 and 23.

QCEW reports on employment in Public Administration as NAICS 92. However, many government activities are reported with an industry specific code - such as transportation or utilities even if those may be public governmental entities. In 2021 for the Bay Area, the largest industry groupings under public ownership are Education and health services (58%); Public administration (29%) and Trade, transportation, and utilities (29%). With the exception of Education and health services, all other public activities were coded as government/public administration, regardless of industry group.

For the county data there were some industries that reported 0 jobs or did not report jobs at the desired aggregation/NAICS level for the following counties/years:

Farm:
(aggregation level: 74, NAICS code: 11) - Contra Costa: 2008-2010 - Marin: 1990-2006, 2008-2010, 2014-2020 - Napa: 1990-2004, 2013-2021 - San Francisco: 2019-2020 - San Mateo: 2013

Information:
(aggregation level: 73, NAICS code: 51) - Solano: 2001

Financial Activities:
(aggregation level: 73, NAICS codes: 52, 53) - Solano: 2001

Unclassified:
(aggregation level: 73, NAICS code: 99) - All nine Bay Area counties: 1990-2000 - Marin, Napa, San Mateo, and Solano: 2020 - Napa: 2019 - Solano: 2001

The Product Service Codes (PSC) and North American Industrial Classification Systems (NAICS) are the two methods that the Federal government classifies contracts. They are used as a mechanism to identify scope of the products and services and business segment covered under the award. This data can be used as a mechanism to understand the scope of GSA programs. This can be used as means to identify best fit. While a GSA contract can offer great opportunities for many businesses, the process of applying for that contract will take a significant amount of time and resources. Understanding best GSA contract for your products and services is a preliminary step to take prior to responding to a GSA solicitation.

For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. Definition of paid employees varies among NAICS sectors. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology....Table Name.All sectors: Core Business Statistics Series: Industry Bridge Statistics on 2007 NAICS Basis With Distribution Among 2012 NAICS-Based Industries for the United States: 2012....ReleaseSchedule.The data in this file were released in June 2016.....Key TableInformation.Includes only establishments of firms with payroll. Definition of paid employees varies among NAICS sectors. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, non-sampling error, and definitions, see Methodology.....Universe.The universe of this file is all establishments with one or more paid employees in selected North American Industry Classification System (NAICS) industries. These selected industries include establishments classified in NAICS sectors 22 (Utilities), 23 (Construction), 31-33 (Manufacturing), 42 (Wholesale trade), 44 (Retail trade), and 72 (Accommodation and food services). These are the only sectors affected by the 2012 NAICS revision....GeographyCoverage.The data are shown at the U.S. level only...IndustryCoverage.The data are shown at the 6-digit 2007 NAICS code by 8-digit 2012 NAICS Bridge code levels.....Data ItemsandOtherIdentifyingRecords.This file contains data on:.. . Number of establishments. Value of sales, shipments, receipts, revenue, or business done ($1,000). Annual payroll ($1,000). Number of employees. .....Sort Order.Data are presented in ascending 2007 NAICS Code (NAICS2007) by 2012 NAICS Bridge Code (NAICS2012BDG) sequence.....FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector00/EC1200CBDG2.zip....ContactInformation.U.S. Census Bureau, Economy Wide Statistics Division .Data User Outreach and Education Staff .Washington, DC 20233-6900.Tel: (800) 242-2184.Tel: (301) 763-5154.ewd.outreach@census.gov...Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census..Note: The data in this file are based on the 2012 Economic Census. 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 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 the full technical documentation, see Survey Methodology link in headnote above.

The datasets are comprised of greenhouse gas (GHG) emission factors (Factors) for 1,016 U.S. commodities as defined by the 2017 version of the North American Industry Classification System (NAICS). The Factors are based on GHG data representing 2019. Factors are given for all NAICS-defined commodities at the 6-digit level except for electricity, government, and households. Each record consists of three factor types as in the previous releases: Supply Chain Emissions without Margins (SEF), Margins of Supply Chain Emissions (MEF), and Supply Chain Emissions with Margins (SEF+MEF). One set of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_CO2e_USD2021.csv) provides kg carbon dioxide equivalents (CO2e) per USD for all GHGs combined using 100 yr global warming potentials from the 4th IPPC Assessment report to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_byGHG_USD2021.csv) provides kg of each unique GHG emitted per dollar per commodity without the CO2e calculation. The dollar (USD) in the denominator of all factors uses purchaser prices in 2021 USD. See the supporting file 'Aboutthe2019v1.2SupplyChainGHGEmissionFactors.pdf' for complete documentation of this dataset.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2023.Table ID.ABSCS2023.AB00MYCSA01C.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Annual Business Survey Company Summary.Source.U.S. Census Bureau, 2023 Economic Surveys, Annual Business Survey.Release Date.2025-11-20.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The 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..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Race White Black or African American American Indian and Alaska Native Asian Native Hawaiian and Other Pacific Islander Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White) Equally minority/nonminority Nonminority (Firms classified as non-Hispanic and White) 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 ABS are employer 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 data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. 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.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2023 BERD sample, or have high receipts, payroll, or employment. Total sample size is 330,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey 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 numbers: CBDRB-FY25-0115 and CBDRB-FY25-0410).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 data quality standards, 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 disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Inf...

Uncovering Retail Trends with US Economic Census Data

2012 Store Types and Sales by Product Category

By Gary Hoover [source]

About this dataset

This US Retail Sales of Products and Services by Store dataset from the 2012 US Economic Census provides valuable insights into the different store types selling products and services in the United States. The dataset includes columns that specify various values like: Products and services code, Meaning of Products & Services Code, 2012 NAICS code, Code length, Meaning of 2012 NAICS Code, Number of Establishments, Total sales of Estabs Reporting Product Line ($1K), Sales ($1K), and Percent of Sales Accounted for by Industry (%). Gain a comprehensive view into what types of products are being sold across different stores within each product category—explore how they are performing relative to the industry with these analytical values. Analyze an in-depth perspective on where America’s retail market is headed

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How to use the dataset

This dataset provides information about the US retail sales of products and services by store type from 2012 US Economic Census. It is an interesting resource for analyzing the retail markets from a macro district perspective.
The dataset contains several columns which are key to a thorough analysis. These include: Products and services code, Meaning of Products and services code, 2012 NAICS code, Code length, Meaning of 2012 NAICS code, Number of establishments, Total sales of estabs reporting product line ($1,000), Sales ($1,000), and Percent of sales accounted for by industry (%).
To use this dataset in an effective manner it is important to consider following points: - Understand the meaning behind each column to fully comprehend what the data represents; - Analyze trends within categories or between different categories; - Use visualizations such as bar graphs or scatter plots to determine relationships between different variables; - Consider a variety factors when interpreting the data such as seasonality or population demographics in geographic regions; 5) Establish benchmarks for performance among similar stores; 6) Compare performance over time periods.

By using these tips you can effectively analyze datasets that uncover valuable insights into understanding trends within retail markets using US Economic Census Data

Research Ideas

• Identifying retail establishments with the highest demand for specific product and services categories.
• Analyzing retail store sales performance in different geographical locations to assess regional economic trends.
• Developing marketing campaigns to target specific stores that sell high volumes of certain products and services in order to increase overall sales

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: 2012 Retail Sales by Store Type within Product Category.csv | Column name | Description | |:----------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------| | Products and services code | A numerical code that identifies the type of product or service being sold. (Numeric) | | Meaning of Products and services code | A description of the product or service being sold. (Text) | | 2012 NAICS code | A numerical code that identifies the type of store selling the product or service...

Key Table Information.Table Title.Selected Sectors: Industry Bridge Statistics on 2017 NAICS Basis With Distribution Among 2022 NAICS-Based Industries for the U.S.: 2022.Table ID.ECNBRIDGE22022.EC2200BRIDGE2.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Selected Sectors: Industry Bridge Statistics on 2017 NAICS Basis With Distribution Among 2022 NAICS-Based Industries for the U.S.: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2025-02-06.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.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesRange indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions 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 at 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 6-digit 2022 NAICS code by 8-digit 2017 NAICS bridge code levels for the following sectors:Mining (21)Manufacturing (31)Wholesale Trade (42)Retail Trade (44)Information (51)Finance and Insurance (52)Other Services (except Public Administration (81)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.Post Processing/Errata.Table EC2200BRIDGE2 (originally published on February 6, 2025) was updated on April 24, 2025, to incorporate an enhanced suppression pattern..FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00/.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 l...

This dataset captures Kaggle machine learning competitions over time by project type, host-organization classification, and host-organization headquartered states. Data extraction and analysis were done by the Internet Association.

The following variables are included in the dataset:

start_date: Start date of the competition

end_date: End date of the competition

comp_org_conf: Host organization, company, or conference

primary_us_host: Primary host organization or company if the competition is sponsored by a conference or multiple hosts.

host_type: Private, nonprofit, or government

NAICS_code: 6 digit NAICS classification

NAICS: Definition of the 6 digit NAICS classification

hq_in_us: 1 - Yes, primary host is headquartered in US. 0 - No, host is not headquartered in US.

hq: Headquartered state of primary host

two_digit_definition: First 2 digit NAICS definition

three_digit_definition: First 3 digit NAICS definition

project_type: A classification of project based on project description

subtopic: Subtopic of the project type

project_title: Title of the competition

description: A brief description of the competition

prize: Prizes in US dollars

NAICS.link: link to NAICS code

Source: Internet Association. 2016. Machine Learning Awards. District of Columbia: Internet Association [producer]. Washington, DC: Internet Association. San Francisco, CA: Kaggle [distributor]. Web. 4 November 2016.

Three tables are provided of US commercial waste generation by NAICS codes for (1) Commercial non-hazardous waste (non-construction), (2) Commercial non-hazardous waste from construction, and (3) Commercial RCRA hazardous waste. The unique waste types within these three tables are defined in referenced sources. These national totals by NAICS are mapped to BEA (NAICS-based) detailed industries (388 total) from the BEA 2007 benchmark input-output tables. A crosswalk table is provided. Three satellite tables for the USEEIO model are provided using the mapped national waste totals and the industry gross output for the data year for that BEA industry after it has been adjusted to 2013 USD using the BEA industry-specific chain price index. See the associated manuscript for more details. The satellite table files are formatted for use in the USEEIO modeling framework (http://github.com/USEPA/useeio/) to incorporate into a USEEIO model. This dataset is associated with the following publication: Meyer, D.E., M. Li, and W.W. Ingwersen. Analyzing economy-scale solid waste generation using the United States environmentally-extended input-output model. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 157: 104795, (2020).

Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

For information on economic census geographies, including changes for 2012, see the economic census Help Center....Table Name.All sectors: Core Business Statistics Series: Comparative Statistics for the U.S. and the States (2007 NAICS Basis): 2012 and 2007....ReleaseSchedule.The data in this file were released in June 2016.....Key TableInformation.Includes only establishments of firms with payroll. Definition of paid employees varies among NAICS sectors. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, non-sampling error, and definitions, see Methodology.....Universe.The universe of this file is all establishments with one or more paid employees in selected North American Industry Classification System (NAICS) industries....GeographyCoverage.The data are shown at the U.S. and State level only...IndustryCoverage.The data are shown at the 2- and 3-digit NAICS code levels for all sectors, and by 2- through 7-digit NAICS code levels for selected sectors.....Data ItemsandOtherIdentifyingRecords.This file contains data on:.. . Number of establishments. Value of sales, shipments, receipts, revenue, or business done ($1,000). Annual payroll ($1,000). Number of employees. .....Sort Order.Data are presented in ascending geography (GEO_ID) by 2007 NAICS Basis sequence.....FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector00/EC1200CCOMP1.zip....ContactInformation.U.S. Census Bureau, Economy Wide Statistics Division .Data User Outreach and Education Staff .Washington, DC 20233-6900.Tel: (800) 242-2184.Tel: (301) 763-5154.ewd.outreach@census.gov...[Includes only establishments of firms with payroll. Definition of paid employees varies among NAICS sectors. Data based on the 2012 and 2007 Economic Census. For information on confidentiality protection, sampling error, non-sampling error, and definitions, see Survey Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census..Note 1: The data in this file are based on the 2012 and 2007 Economic Census. 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 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 the full technical documentation, see Survey Methodology link in headnote above..Note 2: Railroad transportation and U.S. Postal Service are out of scope for the 2012 Economic Census. Large certificated passenger carriers are included in the 2012 data, not included in the 2007 data, affecting comparability for this industry.

2010 census data on the number of establishments per zip code grouped by sector and payrolled employees/establishment size. To create a pointmap of this dataset you must filter for "Meaning of 2007 North American Industry Classification System (NAICS)" AND "Number of Employees".The filter has been loaded with the necessary values. Dot size = number of establishments. To see changes in dot saize that reflect selected values, the map must be saved. Otherwise it defaults to Construction/1-4 employees.

Total value (x 1,000,000) of businesses’ sales, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).

Data based on the North American Industry Classification System (NAICS) 2017. This includes the combination of the North American Industry Classification System (NAICS) codes 56, 61, 62, 71, 81, 91 and, as of 2019, investments for which an industry cannot be determined. From 1999 to 2011: For Canadian direct investment abroad, this combines the North American Industry Classification System (NAICS) codes 3333, 3341 to 3345, 3359, 4173, 4179, 5112, 5132, 5133, 5141, 5142, 5324, 5415 and 8112. For foreign direct investment in Canada, this combines the NAICS codes 33331, 33411, 33421, 33422, 33431, 33441, 33451, 33592, 41731, 41732, 41791, 51121, 51322, 5133, 51419, 51421, 53242, 54151 and 81121. From 2012 onward: For both Canadian direct investment abroad and foreign direct investment in Canada, this combines the NAICS codes 3341 to 3344, 4173, 5112, 5171, 5172, 5174, 5179, 5182, 5415 and 8112. There are some constraints in the groupings as firms have been coded using four digits of the North American Industry Classification System (NAICS) only. Users are cautioned that, prior to 2019, in general data for smaller industries (defined as industries at the NAICS-3 level) is subject to higher sampling variability. Goods-producing industries combines North American Industry Classification System (NAICS) codes 11 to 33. Services-producing industries combines North American Industry Classification System (NAICS) codes 41 to 91. Starting in 2019, the region Other America" is divided into two regions; "South and Central America" and "Caribbean". Antigua and Barbuda Unallocated countries" include all stakes that could not be allocated to a particular country." Starting in 2019, data for the United States no longer include Puerto Rico and the United States Virgin Islands. These are now included in “Other Caribbean.”

Key Table Information.Table Title.Manufacturing: Materials Consumed by Kind of Industry for the U.S.: 2022.Table ID.ECNMATFUEL2022.EC2231MATFUEL.Survey/Program.Economic Census.Year.2022.Dataset.ECN Sector Statistics Combined version: Manufacturing and Mining: Materials Consumed and Selected Supplies, Minerals Received for Preparation, Purchased Machinery and Fuels Consumed by Type of Industry for the U.S..Source.U.S. Census Bureau, 2022 Economic Census, Sector Statistics.Release Date.2025-05-08.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.Material or fuel codeDelivered cost ($1,000)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 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 6-digit 2022 NAICS code level. 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/API_Datasets/.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 w...