Context

NAICS codes data

Content

The document contains NAICS codes ranging from 11 to 92 under the column named 'Sector'. The industry each NAICS code belongs to is contained the 'Name' column.

Note

NAICS code 99 which represents unclassified industries was not included in the document.

Quarterly Census of Employment and Wages (QCEW) by NAICS (2 level) and Towns. Source: Connecticut Department of Labor Quarterly Census of Employment and Wages (QCEW). QCEW data is regularly reviewed to correct and/or update industry (NAICS) codes that no longer reflect the ongoing business activity of a firm. Because of these corrections, in some cases changes from year to year may over or understate the actual changes occurring within the industry sector. Any questions regarding this data may directed to dol.lmi@ct.gov

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

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.

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.

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

Access a comprehensive and continuously updated database of all companies and entities registered in the U.S. government’s System for Award Management (SAM). This dataset is refreshed daily to ensure accuracy and includes detailed information on each company’s registration status, business type, and federal contracting eligibility.

The dataset features:

Company Profiles: Legal name, DUNS/UEI identifiers, and registration details.

Primary & Secondary NAICS Codes: Industry classification for federal contracting opportunities.

PSC (Product Service Codes): Government-focused categorization of products and services.

Points of Contact: Key employee information for business development and outreach.

Small Business Designations: 8(a), HUBZone, SDVOSB, WOSB, and other SBA certifications.

Status Tracking: Active vs. inactive registrations and expiration dates.

This dataset is ideal for federal contractors, market researchers, business development teams, and solution providers seeking to identify, segment, and engage with government-registered businesses. With daily updates, you can be confident you are working with the most current and complete federal vendor information available.

The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply-side or production-oriented principles, to ensure that industrial data, classified to NAICS, are suitable for the analysis of production-related issues such as industrial performance. NAICS Canada 2017 Version 2.0 consists of 20 sectors, 102 subsectors, 322 industry groups, 708 industries and 923 Canadian industries, and replaces NAICS 2017 Version 1.0.

The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply side or production oriented principles, to ensure that industrial data, classified to NAICS, is suitable for the analysis of production related issues such as industrial performance.

To help provide a level playing field for women business owners, the government limits competition for certain contracts to businesses that participate in the Women-Owned Small Business Federal Contracting Program (WOSB Program). These contracts are for specific industries where women-owned small businesses are substantially underrepresented. Some contracts are restricted further to economically disadvantaged women-owned small businesses (EDWOSBs). SBA maintains a list of those eligible industries and their North American Industry Classification System (NAICS) codes. Of the 759 eligible industries, 646 are designated for limited competition among all WOSB Program participants, and 113 are eligible for competition among only SBA-certified EDWOSBs. Congress requires SBA to conduct a study every five years to identify industries in which small businesses owned and controlled by women are underrepresented in the Federal marketplace. Please visit the most recent study.

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. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

The Statistics of U.S. Businesses (SUSB) provides detailed annual data for all U.S. business establishments with paid employees by geography, industry, and enterprise size. This program covers all NAICS industries except crop and animal production; rail transportation; National Postal Service; pension, health, welfare, and vacation funds; trusts, estates, and agency accounts; private households; and public administration. The SUSB also excludes most government employees. Further, SUSB data for years 1988-1997 were tabulated based on the Standard Industrial Classification (SIC) system. The SUSB features several arts-related NAICS industries, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic Design Services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Also, the SUSB features several arts related SIC industries, including the following: Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums and art galleries (SIC Code 8412) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Production & Services (SIC Code 7810) Data compiled for the SUSB are extracted from the Business Register (BR). The BR contains continuously updated data from the Census Bureau's economic censuses and currently business surveys, quarterly and annual Federal tax records and other department and federal statistics. SUSB data are available approximately 24 months after each reference year and are available for the United States, each state, and Metropolitan Statistical Areas (MSA). The annual SUSB consist of number of firms, number of establishments, annual payroll, and employment during the week of March 12. In addition, estimated receipts data are included for years ending in 2 and 7. Dynamic data, which are created from the Business Information Tracking Series (BITS), consist of the number of establishments and corresponding employment change for births, deaths, expansions, and contractions. The SUSB is important because it provides the only source of annual, complete, and consistent enterprise-level data for U.S. businesses, with industry detail. Private businesses use the data for market research, strategic business planning, and managing sales territories. State and local governments, as well as, budget, economic development, and planning offices use the data to assess business changes, develop fiscal policies, and plan future policies and programs. In addition, the data are the standard reference source for small business statistics. Users can view the latest SUSB annual data and employment change data on the main SUSB page. For more detailed industry and employment size classes, users can download additional data in comma-delimited format. Annual data are tabulated back to 1988 and employment change data back to 1989-1990. Data users can find news and updates about the SUSB data via the News & Updates section.

We provide weighted crosswalk files for the purpose of bridging Standard Industrial Classification (SIC) codes and North American Industry Classification System (NAICS) codes. SIC codes were the standard industry classification system for decades, but they eventually couldn’t keep up with the changing industrial structure of the 1990s. NAICS codes took over in 1997 and quickly became the reporting system for most government statistics in the US and elsewhere. This switch poses a problem for researchers since it imposes an artificial break in time series data. Unweighted crosswalk tables can help connect the two systems, but the many splits and merges create mappings that are not one-to-one. For situations that require one-to-one translations, researchers find themselves guessing as to the best match. And for situations where splitting and merging is acceptable, choosing weights sometimes feels arbitrary. The crosswalks included here contain weighting variables that make it possible to smoothly bridge between systems and construct consistent time series in a nonarbitrary way. Three different weighting schemes are included. The first based on employment, the second based on number of establishments, and the third based on total payroll.

The datasets comprise 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 for 2022. 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 provides kg carbon dioxide equivalents (CO2e) per 2022 U.S. dollar (USD) for all GHGs combined using 100-yr global warming potentials from IPCC 5th report (AR5) to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors provides kg of each unique GHG emitted per 2022 dollar per commodity without the CO2e calculation. The dollar in the denominator of all factors uses purchaser prices. See the supporting file 'Aboutv1.3SupplyChainGHGEmissionFactors.docx' for complete documentation of this dataset.

New products businesses have begun manufacturing in response to requests from government, by North American Industry Classification System (NAICS) code, business employment size, type of business and majority ownership.

This data set contains calendar year taxable sales by zip code and NAICS code in Utah from 1998-2014

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Table NameGeography Area Series: County Business Patterns: 2014 Release ScheduleThe data in this file were released on April 21, 2016. Key Table InformationBeginning with reference year 2007, CBP data are released using the Noise Infusion method of disclosure avoidance to protect confidentiality. See Survey Methodology for complete information on the coverage and methodology of the County Business Patterns data series. UniverseThe universe of this file is all operating establishments with one or more paid employees. This universe includes most establishments classified in the North American Industry Classification System (NAICS) Codes 11 through 813990. For specific exclusions and inclusions, see Industry Classification of Establishments. Geography CoverageThe data are shown at the U.S. level and by State, County, Metropolitan/Micropolitan Statistical Area (MSA), and Congressional District. Also available are data for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at the state and county equivalent levels. Industry CoverageThe data are shown at the 2- through 6-digit NAICS code levels for all sectors with published data. Data Items and Other Identifying RecordsThis file contains data on the number of establishments, paid employees (for the pay period including March 12), first quarter payroll and annual payroll. Sort OrderData are presented in ascending geography by NAICS code sequence. FTP DownloadDownload the entire table at http://www2.census.gov/econ2014/CB/sector00/CB1400CBP.zip. Contact InformationU.S. Census Bureau Economy-Wide Statistics Division Business Statistics Branch Tel: (301)763-2580 Email: ewd.county.business.patterns@census.gov .Data User Notice posted on July 21, 2016: Census Bureau staff identified a processing error that affects selected data from the 2014 County Business Patterns (CBP). As a result, we suppressed 2014 employment and payroll totals in the Health Care and Social Assistance sector (Sector 62) for the following geographies: U.S.; Michigan; Battle Creek, MI metro area; Calhoun County, MI; and the 3rd congressional district of Michigan. This processing error did not affect other sectors. While suppressed values can be derived by subtraction, we do not recommend using the derived values in any analyses. The Census Bureau plans to release revised statistics at a later date..NOTE: Data based on the 2014 County Business Patterns. CBP html tables and download files can be found at the County Business Patterns Website. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology. Data in this table represent those available when this report was created; data may not be available for all NAICS industries or geographies. Excludes most government employees, railroad employees, and self-employed persons..Source: U.S. Census Bureau, 2014 County Business Patterns.

Percentage of enterprises that exported and did not export goods or services outside Canada, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Enterprises that exported are broken down into exporters with unsuccessful attempts to export to additional markets, and exporters with unsuccessful attempts to export additional goods or services. Enterprises that did not export are broken down into non-exporters with unsuccessful attempts to export.

New products businesses have begun manufacturing in response to requests from government, by North American Industry Classification System (NAICS) code, business employment size, type of business and majority ownership.

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