100+ datasets found
  1. North American Industry Classification System (NAICS) Canada 2022 Version...

    • open.canada.ca
    • gimi9.com
    • +1more
    csv, html, pdf
    Updated Jan 31, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2024). North American Industry Classification System (NAICS) Canada 2022 Version 1.0 [Dataset]. https://open.canada.ca/data/dataset/980d598c-73c9-4003-b6e1-78a9a3081b6c
    Explore at:
    html, csv, pdfAvailable download formats
    Dataset updated
    Jan 31, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    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 2022 Version 1.0 consists of 20 sectors, 99 subsectors, 323 industry groups, 695 industries and 922 Canadian industries, and replaces NAICS Canada 2017 Version 3.0. The following summary table shows the counts of subsectors, industry groups, industries, and Canadian industries for each of the NAICS sectors. This dataset is made available under the Statistics Canada Open Licence agreement (https://www.statcan.gc.ca/eng/reference/licence).

  2. 2022 Economic Census: EC2200BRIDGE1 | Selected Sectors: Industry Bridge...

    • data.census.gov
    Updated Feb 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2025). 2022 Economic Census: EC2200BRIDGE1 | Selected Sectors: Industry Bridge Statistics on 2022 NAICS Basis With Distribution Among 2017 NAICS-Based Industries for the U.S.: 2022 (ECN Core Statistics Selected Sectors: Industry Bridge Statistics on 2022 NAICS Basis With Distribution Among 2017 NAICS-Based Industries for the U.S.: 2022) [Dataset]. https://data.census.gov/all/tables?q=OUTDOOR%20LIGHTING%20PERSPECTIVES
    Explore at:
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Selected Sectors: Industry Bridge Statistics on 2022 NAICS Basis With Distribution Among 2017 NAICS-Based Industries for the U.S.: 2022.Table ID.ECNBRIDGE12022.EC2200BRIDGE1.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Selected Sectors: Industry Bridge Statistics on 2022 NAICS Basis With Distribution Among 2017 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 EC2200BRIDGE1 (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...

  3. T

    Vital Signs: Jobs by Industry by County (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jun 10, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Vital Signs: Jobs by Industry by County (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Jobs-by-Industry-by-County-2022-/uq26-k9zb
    Explore at:
    application/rssxml, json, xml, csv, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 10, 2022
    Description

    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

  4. Supply Chain Greenhouse Gas Emission Factors v1.3 by NAICS-6

    • catalog.data.gov
    Updated Jul 10, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. EPA Office of Research and Development (ORD) (2024). Supply Chain Greenhouse Gas Emission Factors v1.3 by NAICS-6 [Dataset]. https://catalog.data.gov/dataset/supply-chain-greenhouse-gas-emission-factors-v1-3-by-naics-6
    Explore at:
    Dataset updated
    Jul 10, 2024
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    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.

  5. NAICS Indexes 2022

    • kaggle.com
    Updated Mar 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AI_Solorio (2025). NAICS Indexes 2022 [Dataset]. https://www.kaggle.com/datasets/aisolorio/naics-indexes-2022/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    AI_Solorio
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset

    This dataset was created by AI_Solorio

    Released under MIT

    Contents

  6. U.S. merchandise imports from China in 2022, by NAICS product type

    • ai-chatbox.pro
    • statista.com
    Updated May 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Abigail Tierney (2025). U.S. merchandise imports from China in 2022, by NAICS product type [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F13216%2Fus-tariffs%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    China, United States
    Description

    In 2022, the United States imported around 161 billion U.S. dollars worth of computer and electronic products from China. This accounts for the trade under the North American Classification System (NAICS) product categories. The data are not seasonally adjusted.

  7. T

    Vital Signs: Jobs by Industry (Location Quotient) - Bay Area (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jun 10, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Vital Signs: Jobs by Industry (Location Quotient) - Bay Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Jobs-by-Industry-Location-Quotient-Bay/bukt-gnzt
    Explore at:
    tsv, application/rdfxml, application/rssxml, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 10, 2022
    Area covered
    San Francisco Bay Area
    Description

    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

  8. U.S. merchandise exports to China in 2024, by NAICS product type

    • statista.com
    • ai-chatbox.pro
    Updated Apr 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. merchandise exports to China in 2024, by NAICS product type [Dataset]. https://www.statista.com/statistics/821091/united-states-exports-to-china-by-product/
    Explore at:
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    China, United States
    Description

    In 2024, the United States exported around 18 billion U.S. dollars worth of agricultural products to China. This accounts for the trade under the North American Classification System (NAICS) product categories. The data are not seasonally adjusted.

  9. 2022 Economic Census: EC2221LOCMINE | Mining: Location of Mining...

    • data.census.gov
    Updated Dec 6, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2022 Economic Census: EC2221LOCMINE | Mining: Location of Mining Establishments by Employment Size for the U.S., States, and Offshore Areas: 2022 (ECN Sector Statistics Economic Census: Mining: Location of Mines by Employment Size for Subsectors and Industries for the U.S., States, and Offshore Areas) [Dataset]. https://data.census.gov/table/ECNLOCMINE2022.EC2221LOCMINE
    Explore at:
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Mining: Location of Mining Establishments by Employment Size for the U.S., States, and Offshore Areas: 2022.Table ID.ECNLOCMINE2022.EC2221LOCMINE.Survey/Program.Economic Census.Year.2022.Dataset.ECN Sector Statistics Economic Census: Mining: Location of Mines by Employment Size for Subsectors and Industries for the U.S., States, and Offshore Areas.Source.U.S. Census Bureau, 2022 Economic Census, Sector Statistics.Release Date.2025-05-15.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.Employment size of establishmentsNumber of establishmentsDefinitions 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., State, and Offshore Area levels that vary by industry. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for U.S., States, and Offshore Area. 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/sector21/.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 sy...

  10. F

    Export Price Index (NAICS): Motor Vehicle Gasoline Engine and Engine Parts...

    • fred.stlouisfed.org
    json
    Updated Apr 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Export Price Index (NAICS): Motor Vehicle Gasoline Engine and Engine Parts Manufacturing [Dataset]. https://fred.stlouisfed.org/series/IY33631
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Export Price Index (NAICS): Motor Vehicle Gasoline Engine and Engine Parts Manufacturing (IY33631) from Dec 2022 to Mar 2025 about engines, parts, NAICS, gas, exports, vehicles, manufacturing, price index, indexes, price, and USA.

  11. C

    Canada Exports: Guam

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, Canada Exports: Guam [Dataset]. https://www.ceicdata.com/en/canada/exports-by-country-naics-2022-customs-basis
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Canada
    Description

    Exports: Guam data was reported at 0.135 CAD mn in Jan 2025. This records a decrease from the previous number of 0.397 CAD mn for Dec 2024. Exports: Guam data is updated monthly, averaging 0.192 CAD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 2.997 CAD mn in Feb 2004 and a record low of 0.000 CAD mn in Sep 2002. Exports: Guam data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.JA031: Exports: by Country: NAICS 2022: Customs Basis.

  12. F

    Hourly Compensation for Manufacturing: Machine Shops (NAICS 332710) in the...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Hourly Compensation for Manufacturing: Machine Shops (NAICS 332710) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUEN332710U120000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Hourly Compensation for Manufacturing: Machine Shops (NAICS 332710) in the United States (IPUEN332710U120000000) from 1987 to 2022 about machines, compensation, NAICS, IP, hours, manufacturing, and USA.

  13. F

    Hourly Compensation for Manufacturing: Aircraft Manufacturing (NAICS 336411)...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Hourly Compensation for Manufacturing: Aircraft Manufacturing (NAICS 336411) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUEN336411U120000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Hourly Compensation for Manufacturing: Aircraft Manufacturing (NAICS 336411) in the United States (IPUEN336411U120000000) from 1987 to 2022 about aircraft, compensation, NAICS, IP, hours, manufacturing, and USA.

  14. U.S. merchandise trade balance with China in 2022, by NAICS product type

    • statista.com
    Updated Jul 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). U.S. merchandise trade balance with China in 2022, by NAICS product type [Dataset]. https://www.statista.com/statistics/821074/united-states-trade-balance-with-china-by-product/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    China, United States
    Description

    In 2022, the trade balance of agricultural products between the United States and China came to around 29.65 billion U.S. dollars. However, the trade balance of computer and electronics came to a negative 139.61 billion U.S. dollars indicating that the U.S. imports more computers than it exports. This accounts for the trade under the North American Classification System (NAICS) product categories. The data are not seasonally adjusted.

  15. F

    Sectoral Output for Manufacturing: Material Handling Equipment Manufacturing...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Sectoral Output for Manufacturing: Material Handling Equipment Manufacturing (NAICS 33392) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUEN33392T300000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Sectoral Output for Manufacturing: Material Handling Equipment Manufacturing (NAICS 33392) in the United States (IPUEN33392T300000000) from 1987 to 2022 about materials, NAICS, IP, equipment, production, manufacturing, and USA.

  16. F

    Real Sectoral Output for Manufacturing: Semiconductor and Related Device...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Real Sectoral Output for Manufacturing: Semiconductor and Related Device Manufacturing (NAICS 334413) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUEN334413T011000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Real Sectoral Output for Manufacturing: Semiconductor and Related Device Manufacturing (NAICS 334413) in the United States (IPUEN334413T011000000) from 1988 to 2022 about semiconductors, output, NAICS, IP, manufacturing, and USA.

  17. F

    Sectoral Output for Manufacturing: Wood Container and Pallet Manufacturing...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Sectoral Output for Manufacturing: Wood Container and Pallet Manufacturing (NAICS 32192) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUEN32192T301000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Sectoral Output for Manufacturing: Wood Container and Pallet Manufacturing (NAICS 32192) in the United States (IPUEN32192T301000000) from 1988 to 2022 about wood, NAICS, IP, production, manufacturing, and USA.

  18. a

    Potential Serious Incidents (PSIs) reporting : PSI NAICS sector report 2022...

    • open.alberta.ca
    Updated Nov 18, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2020). Potential Serious Incidents (PSIs) reporting : PSI NAICS sector report 2022 - Open Government [Dataset]. https://open.alberta.ca/dataset/potential-serious-incidents-reporting-psi-naics-sector-report-2022
    Explore at:
    Dataset updated
    Nov 18, 2020
    Description

    This annual report provides statistical information on reported workplace potentially serious incidents. Information includes the type of incident, source of the incident, type of injuries and occupations of injured workers. Reports are provided by industry sectors, as defined by the North American Industry Classification System.

  19. U.S. merchandise exports to Ukraine in 2022, by NAICS product type

    • statista.com
    Updated Jul 5, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). U.S. merchandise exports to Ukraine in 2022, by NAICS product type [Dataset]. https://www.statista.com/statistics/1294343/united-states-exports-ukraine-product/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Ukraine, United States
    Description

    In 2022, the United States exported around 137.53 million U.S. dollars worth of mineral and ore products to Ukraine. This accounts for the trade under the North American Classification System (NAICS) product categories. The data are not seasonally adjusted.

  20. F

    Unit Labor Costs for Real Estate and Rental and Leasing: Passenger Car...

    • fred.stlouisfed.org
    json
    Updated Dec 2, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Unit Labor Costs for Real Estate and Rental and Leasing: Passenger Car Rental (NAICS 532111) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPULN532111U101000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 2, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Unit Labor Costs for Real Estate and Rental and Leasing: Passenger Car Rental (NAICS 532111) in the United States (IPULN532111U101000000) from 1988 to 2022 about unit labor cost, leases, rent, NAICS, real estate, vehicles, and USA.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statistics Canada (2024). North American Industry Classification System (NAICS) Canada 2022 Version 1.0 [Dataset]. https://open.canada.ca/data/dataset/980d598c-73c9-4003-b6e1-78a9a3081b6c
Organization logo

North American Industry Classification System (NAICS) Canada 2022 Version 1.0

Explore at:
12 scholarly articles cite this dataset (View in Google Scholar)
html, csv, pdfAvailable download formats
Dataset updated
Jan 31, 2024
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Area covered
Canada
Description

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 2022 Version 1.0 consists of 20 sectors, 99 subsectors, 323 industry groups, 695 industries and 922 Canadian industries, and replaces NAICS Canada 2017 Version 3.0. The following summary table shows the counts of subsectors, industry groups, industries, and Canadian industries for each of the NAICS sectors. This dataset is made available under the Statistics Canada Open Licence agreement (https://www.statcan.gc.ca/eng/reference/licence).

Search
Clear search
Close search
Google apps
Main menu