100+ datasets found
  1. 2017 Economic Census: EC1700COMP | All Sectors: Comparative Statistics for...

    • data.census.gov
    Updated Sep 16, 2021
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    ECN (2021). 2017 Economic Census: EC1700COMP | All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (2012 NAICS Basis): 2017 and 2012 (ECN Core Statistics All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (Previous NAICS Basis)) [Dataset]. https://data.census.gov/table/ECNCOMP2017.EC1700COMP
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    Dataset updated
    Sep 16, 2021
    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
    2017
    Area covered
    United States
    Description

    Release Date: 2021-09-16.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry..Reliability for some of these data items can be found in the Geographic Area Series Reports for 2012 and 2017...Data Items and Other Identifying Records: .Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).Number of employees..For Wholesale Trade (42), data are published by Type of Operation (All establishments) only...For Professional, Scientific, and Technical Services (54), Educational Services (61), Health Care and Social Assistance (62), Arts, Entertainment, and Recreation (71), and Other Services (except Public Administration) (81), data are published by Tax Status (All Establishments) only...Geography Coverage:.The data are shown for employer establishments at the U.S. and State levels for all sectors. Mining sector (21) also shows data for Offshore Areas. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2012 NAICS code levels for all economic census sectors, except Construction sector (23), which shows data at the 2-, 3-, and 6-digit 2012 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Transportation and Warehousing (48-49): footnote 104- Railroad transportation and U.S. Postal Service are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700COMP.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

  2. 2018 Economic Surveys: AB1800TCB10A | Annual Business Survey: Factors...

    • data.census.gov
    Updated Mar 11, 2021
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    ECN (2021). 2018 Economic Surveys: AB1800TCB10A | Annual Business Survey: Factors Adversely Affecting Technology Production in Employer Firms by 2-digit NAICS for the United States and States: 2018 (ECNSVY Annual Business Survey Technology Characteristics of Businesses) [Dataset]. https://data.census.gov/table/ABSTCB2018.AB1800TCB10A?q=UNITED%20CONSTRUCTION
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    Dataset updated
    Mar 11, 2021
    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
    2018
    Area covered
    United States
    Description

    Release Date: 2021-03-11.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY20-424)...Release Schedule:.Data in this file come from estimates of technology production of employer firms from the 2019 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2019 ABS collection year produces statistics for the 2018 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.This is one of twenty tables in the 2019 ABS technology series to provide detailed technology use and production statistics with select economic and demographic characteristics of businesses (TCB) for U.S. employer firms that reported the sex, ethnicity, race, and veteran status for up to four persons owning the largest percentage(s) of the business. The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Firms are asked to report their employees as of the March 12 pay period...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Percent of employer firms (%). Sales and receipts of employer firms (reported in $1,000s of dollars). Percent of sales and receipts of employer firms (%). Number of employees (during the March 12 pay period). Percent of employees (%). Annual payroll (reported in $1,000s of dollars). Percent of annual payroll (%)...Data Notes:.. Percentage statistics are based on the share of firms that reported data in each technology group. The total number of firms that reported data for each technology are captured in the Total Reporting counts. For example, the total number of firms that selected any response for the Factors Adversely Affecting Artificial Technology Production question on the 2019 ABS questionnaire, represent the number of firms in Artificial Intelligence: Total reporting statistic....Technology Characteristics:.The ABS was designed to include select questions about technology, innovation, and research and development from multiple reference periods and to incorporate new content each survey year based on topics of relevance...Estimates are derived from firms reporting the characteristics tabulated in this dataset. Percentages are always based on total reporting (defined above) and are not recalculated when the dataset is resorted...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and the 2-digit NAICS code levels for:..United States. States and the District of Columbia...Footnotes:.Footnote 660 - Agriculture, forestry, fishing and hunting (Sector 11): Crop and Animal Production (NAICS 111 and 112) are out of scope..Footnote 661 - Transportation and warehousing (Sector 48-49): Rail Transportation (NAICS 482) and the Postal Service (NAICS 491) are out of scope..Footnote 662 - Finance and insurance (Sector 52): Monetary Authorities-Central Banks (NAICS 521) and Funds, Trusts, and Other Financial Vehicles (NAICS 525) are out of scope..Footnote 663 - Other services, except public administration (Sector 81): Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813) and Private Households (NAICS 814) are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/abs/data/2018/AB1800TCB10A.zip...API Information:.Annual Business Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2018/abstcb.html...Methodology:.To maintain confidentiality, the Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the Census Bureau as the source of the original data only. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology...Symbols:. D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals. S - Estimat...

  3. d

    ACS 1-Year Business Characteristics DC

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated May 7, 2025
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    City of Washington, DC (2025). ACS 1-Year Business Characteristics DC [Dataset]. https://catalog.data.gov/dataset/acs-1-year-business-characteristics-dc
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    Dataset updated
    May 7, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    This layer contains data on the number of employees and the number of establishments for selected 2-digit North American Industry Classification System (NAICS) codes from the the United States Census Bureau's County Business Patterns Program (CBP). This is shown by District boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Current Vintage: 2022 CBP Table: CB2000CBP. Data downloaded from: Census Bureau's API for County Business Patterns. Date of API call: January 2, 2025. Please cite the Census Bureau and CBP when using this data. Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. Downloaded data processed by the Office of Planning on R statistical software and ESRI ArcGIS Desktop. Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov for details on these withheld records.

  4. H

    Census–NAICS 2012 Industry Code Crosswalk

    • dataverse.harvard.edu
    Updated Jan 16, 2019
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    Evan Soltas (2019). Census–NAICS 2012 Industry Code Crosswalk [Dataset]. http://doi.org/10.7910/DVN/O7JLIC
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 16, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Evan Soltas
    License

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

    Description

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

  5. a

    COUNTIES

    • covid19-uscensus.hub.arcgis.com
    • mce-data-uscensus.hub.arcgis.com
    Updated Jul 12, 2023
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    US Census Bureau (2023). COUNTIES [Dataset]. https://covid19-uscensus.hub.arcgis.com/datasets/USCensus::county-business-patterns-states-2021/explore?layer=2
    Explore at:
    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    US Census Bureau
    Area covered
    Description

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

  6. US Census Bureau's Monthly State Retail Sales Data

    • kaggle.com
    Updated Jul 9, 2024
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    Umer Haddii (2024). US Census Bureau's Monthly State Retail Sales Data [Dataset]. https://www.kaggle.com/datasets/umerhaddii/us-census-bureaus-monthly-state-retail-sales-data/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 9, 2024
    Dataset provided by
    Kaggle
    Authors
    Umer Haddii
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    Context

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

    Content

    Geography: US

    Time period: 2019 - 2022

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

    Variables

    VariableDescription
    fips2-digit State Federal Information Processing Standards (FIPS) code. For more information on FIPS Codes, please reference this document. Note: The US is assigned a "00" State FIPS code.
    state_abbrStates are assigned 2-character official U.S. Postal Service Code. The United States is assigned "USA" as its state_abbr value. For more information, please reference this document.
    naicsThree-digit numeric NAICS value for retail subsector code.
    subsectorRetail subsector.
    yearYear.
    monthMonth.
    change_yoyNumeric year-over-year percent change in retail sales value.
    change_yoy_seNumeric standard error for year-over-year percentage change in retail sales value.
    coverage_codeCharacter values assigned based on the non-imputed coverage of the data.
    VariableDescription
    coverage_codeCharacter values assigned based on the non-imputed coverage of the data.
    coverageDefinition of the codes.

    Acknowledgements

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

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F51529449c5ea6477431748f5c1b8a83f%2Fpic1.png?generation=1720540453192512&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F831d14b5312bdda036b66793c4ed6944%2Fpic2.png?generation=1720540466019416&alt=media" alt="">

  7. C

    North American Industry Classification System - 2022

    • data.colorado.gov
    application/rdfxml +5
    Updated May 9, 2023
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    #N/A (2023). North American Industry Classification System - 2022 [Dataset]. https://data.colorado.gov/Business/North-American-Industry-Classification-System-2022/i2mk-94p9
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    json, tsv, xml, application/rdfxml, csv, application/rssxmlAvailable download formats
    Dataset updated
    May 9, 2023
    Dataset authored and provided by
    #N/A
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    North American Industry Classification System (NAICS) is a set of 2-6 digit codes agreed upon by the U.S., Canada and Mexico to describe various Industries and sub-Industries. NAICS was originally developed to provide a consistent framework for the collection, analysis, and dissemination of industrial statistics used by government policy analysts, by academics and researchers, by the business community, and by the public. Revisions for 2022 were made to account for our rapidly changing economies.

  8. 2022 Economic Surveys: BDSESIZE | Business Dynamics Statistics:...

    • data.census.gov
    Updated Sep 26, 2024
    + more versions
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    ECN (2024). 2022 Economic Surveys: BDSESIZE | Business Dynamics Statistics: Establishment Size: 1978-2022 (ECNSVY Business Dynamics Statistics) [Dataset]. https://data.census.gov/table/BDSTIMESERIES.BDSESIZE
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    Dataset updated
    Sep 26, 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
    Description

    Release Date: 2024-09-26.Key Table Information:.The BDS data tables are compiled from the Longitudinal Business Database (LBD). The LBD is a longitudinal database of business establishments and firms with coverage starting in 1976. The LBD is constructed by linking annual snapshot files from the Census Bureau's Business Register (BR), and incorporating edits to BR data made by the County Business Patterns program. See: About This Program and BDS Methodology for complete information on the coverage, scope, and methodology of the Business Dynamics Statistics data series...Data Items and Other Identifying Records: .This file contains data classified by Employment size of establishments.Number of firms.Number of establishments.Number of employees.(DHS) denominator.Number of establishments born during the last 12 months.Rate of establishments born during the last 12 months.Number of establishments exited during the last 12 months.Rate of establishments exited during the last 12 months.Number of jobs created from expanding and opening establishments during the last 12 months.Number of jobs created from opening establishments during the last 12 months.Number of jobs created from expanding establishments during the last 12 months.Rate of jobs created from opening establishments during the last 12 months.Rate of jobs created from expanding and opening establishments during the last 12 months.Number of jobs lost from contracting and closing establishments during the last 12 months.Number of jobs lost from closing establishments during the last 12 months..Number of jobs lost from contracting establishments during the last 12 months.Rate of jobs lost from closing establishments during the last 12 months.Rate of jobs lost from contracting and closing establishments during the last 12 months.Number of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of net jobs created from expanding/contracting and opening/closing establishments during the last 12 months.Rate of reallocation during the last 12 months.Number of firms that exited during the last 12 months.Number of establishments associated with firm deaths during the last 12 months.Number of employees associated with firm deaths during the last 12 months...Geography Coverage:.The data are shown at the U.S. level, by Metro/non-Metro Area, and State...Industry Coverage:.The data are shown at the 2-digit NAICS codes for the United States level only...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/bds/data/BDSESIZE.zip..API Information:.Business Dynamics Statistics (BDS) data are housed in the Business Dynamics Statistics (BDS) API. For more information, see Business Dynamics Statistics (BDS) Data (census.gov)...Methodology:.In accordance with U.S. Code, Title 13, Section 9, no data are published that would disclose the operations of an individual employer. The BDS has adapted the disclosure avoidance method of the County Business Patterns (CBP) in using Hybrid Balanced Multiplicative Noise Infusion. CBP has been released with noise-infusion since 2007; see the CBP methodology webpage..In addition to noise infusion, cells with fewer than three firms are suppressed with a publication flag 'D'. In addition, cells with identified data quality concerns are suppressed with a publication flag 'S'. Cells that are "structurally missing" or "structurally zero" are indicated with a publication flag of 'X'. Finally, rate cells that cannot be calculated are indicated with a publication flag of 'N'..For more information about BDS methodology, see the BDS methodology pages...Source:.U.S. Census Bureau, 2022 Business Dynamics Statistics..Contact Information:.U.S. Census Bureau.Economy-Wide Statistics Division.Business Dynamics Statistics.Tel: (301) 763 - 6090 .Email: ewd.bds@census.gov

  9. Data from: ExioNAICS: Enterprises Level Emission Estimation Dataset with...

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Mar 12, 2025
    + more versions
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    Yanming Guo; Yanming Guo; jin Ma; jin Ma (2025). ExioNAICS: Enterprises Level Emission Estimation Dataset with Large Language Models [Dataset]. http://doi.org/10.5281/zenodo.15010461
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    csvAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Yanming Guo; Yanming Guo; jin Ma; jin Ma
    License

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

    Time period covered
    Jan 23, 2025
    Description

    Introduction

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

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

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

    Dataset

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

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

    NAICS Classification

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

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

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

    Versions

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

    Citation

    @article{guo2025group,
     title={Group Reasoning Emission Estimation Networks},
     author={Guo, Yanming and Qian, Xiao and Credit, Kevin and Ma, Jin},
     journal={arXiv preprint arXiv:2502.06874},
     year={2025}
    }
  10. Data from: Supply Chain Greenhouse Gas Emission Factors v1.2 by NAICS-6

    • catalog.data.gov
    Updated Apr 20, 2023
    + more versions
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    U.S. EPA Office of Research and Development (ORD) (2023). Supply Chain Greenhouse Gas Emission Factors v1.2 by NAICS-6 [Dataset]. https://catalog.data.gov/dataset/supply-chain-greenhouse-gas-emission-factors-v1-2-by-naics-6
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    Dataset updated
    Apr 20, 2023
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    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.

  11. County Business Patterns - States 2021

    • covid19-uscensus.hub.arcgis.com
    • hub.arcgis.com
    Updated Jul 12, 2023
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    US Census Bureau (2023). County Business Patterns - States 2021 [Dataset]. https://covid19-uscensus.hub.arcgis.com/maps/be8f8ddfff6547afb58e59f8f2d13006
    Explore at:
    Dataset updated
    Jul 12, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

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

  12. Online job listings

    • dataverse-staging.rdmc.unc.edu
    tsv
    Updated Oct 27, 2021
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    Carolina Tracker; Carolina Tracker (2021). Online job listings [Dataset]. http://doi.org/10.15139/S3/Z89TQH
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    tsv(6819671), tsv(247)Available download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    University of North Carolina Systemhttps://northcarolina.edu/
    Authors
    Carolina Tracker; Carolina Tracker
    License

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

    Description

    This extract lists job postings scraped from the web by Greenwich HR, a human resources intelligence company from the beginning of 2020. According to the company, the data represents more than 70% of the official job listings across various sectors. Raw extract files are obtained weekly from Greenwich HR in .part_00000 files which are read as tables. The extract contain information on company, job details, SIC and NAICS codes, post timestamp, skills sought, etc. SIC codes obtained in the extract are converted to 2 digit NAICS codes by selecting the first two digits and joining with two digits NAICS codes based on SIC-NAICS crosswalk search results. Data is aggregated weekly by counties and categorized according to two digit NAICS codes whenever possible. Change in number of listings is based on year on year values compared with weeks beginning the first day of each year. The data was also joined to county-wise montly employment data from Bureau of Labor Statistics.

  13. Economic Census - Counties 2017

    • covid19-uscensus.hub.arcgis.com
    Updated Dec 28, 2020
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    US Census Bureau (2020). Economic Census - Counties 2017 [Dataset]. https://covid19-uscensus.hub.arcgis.com/datasets/economic-census-counties-2017/explore?showTable=true
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    Dataset updated
    Dec 28, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows data on the value of sales, shipments, receipts, or revenue for the 2-digit North American Industry Classification System (NAICS) sector codes. This is shown by county and state boundaries. This program is updated annually to contain the most currently released EC data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.Current Vintage: 2017CBP Table: EC1700BASICData downloaded from: Census Bureau's API for Economic CensusDate of API call: June 1, 2020National Figures: data.census.govThe United States Census Bureau's Economic Census Program (EC):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.Data Processing Notes:This layer is updated automatically when the most current vintage of CBP data are released each year, usually in June. The layer always contains the latest available CBP estimates.Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 51 records - all US states and Washington D.C.Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.

  14. Economic Census - Counties 2017

    • mce-data-uscensus.hub.arcgis.com
    Updated Dec 28, 2020
    + more versions
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    US Census Bureau (2020). Economic Census - Counties 2017 [Dataset]. https://mce-data-uscensus.hub.arcgis.com/datasets/economic-census-counties-2017
    Explore at:
    Dataset updated
    Dec 28, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows data on the value of sales, shipments, receipts, or revenue for the 2-digit North American Industry Classification System (NAICS) sector codes. This is shown by county and state boundaries. This program is updated annually to contain the most currently released EC data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.Current Vintage: 2017CBP Table: EC1700BASICData downloaded from: Census Bureau's API for Economic CensusDate of API call: June 1, 2020National Figures: data.census.govThe United States Census Bureau's Economic Census Program (EC):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.Data Processing Notes:This layer is updated automatically when the most current vintage of CBP data are released each year, usually in June. The layer always contains the latest available CBP estimates.Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 51 records - all US states and Washington D.C.Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.

  15. Place of work status by industry sectors, work activity during the reference...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Nov 30, 2022
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    Government of Canada, Statistics Canada (2022). Place of work status by industry sectors, work activity during the reference year, age and gender: Canada, provinces and territories, census divisions and census subdivisions [Dataset]. http://doi.org/10.25318/9810046901-eng
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    Dataset updated
    Nov 30, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Data on place of work status by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, work activity during the reference year, age and gender for Canada, provinces and territories, census divisions and census subdivisions.

  16. 2022 Economic Surveys: AB2200CSA02 | Annual Business Survey: Years in...

    • data.census.gov
    Updated Dec 19, 2024
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    ECN (2024). 2022 Economic Surveys: AB2200CSA02 | Annual Business Survey: Years in Business Statistics for Employer Firms by Sector, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties: 2022 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2022.AB2200CSA02?g=040XX00US25&n=55
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    Dataset updated
    Dec 19, 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.Annual Business Survey: Years in Business Statistics for Employer Firms by Sector, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, and Counties: 2022.Table ID.ABSCS2022.AB2200CSA02.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.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 sex, ethnicity, race, and veteran status when classifiable.The data are also shown for the number of years the firm has been in operation:Years in Business: Firms with less than 2 years in business Firms with 2 to 3 years in business Firms with 4 to 5 years in business Firms with 6 to 10 years in business Firms with 11 to 15 years in business Firms with 16 or more years in business 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 2022 reference year data are shown for the total for all sectors (00) and the 2-digit NAICS code levels for:United StatesStates and the District of ColumbiaIn addition, data are shown for the total for all sectors (00) for:Metropolitan Statistical AreasCountiesFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2-digit NAICS code level depending on geography. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 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 number: CBDRB-FY24-0351).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 ...

  17. Place of work status by industry sector, work activity during the reference...

    • www150.statcan.gc.ca
    • canwin-datahub.ad.umanitoba.ca
    • +2more
    Updated Nov 30, 2022
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    Government of Canada, Statistics Canada (2022). Place of work status by industry sector, work activity during the reference year, age and gender: Census metropolitan areas, tracted census agglomerations and census tracts of work [Dataset]. http://doi.org/10.25318/9810049201-eng
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    Dataset updated
    Nov 30, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Data on place of work status by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, work activity during the reference year, age and gender for census metropolitan areas, tracted census agglomerations and census tracts of work.

  18. u

    Employment by NAICS 2, 3 and 4 digit, Alberta, Alberta economic regions and...

    • beta.data.urbandatacentre.ca
    • open.alberta.ca
    • +2more
    Updated Jun 10, 2025
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    (2025). Employment by NAICS 2, 3 and 4 digit, Alberta, Alberta economic regions and census metropolitan areas (annual average) (1987-2014) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/ab-employment-by-naics-alberta-economic-regions-and-census-metropolitan-areas-annual-average-1987-20
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    Dataset updated
    Jun 10, 2025
    Area covered
    Alberta
    Description

    This dataset is a customization of Statistics Canada data to present information on the employment by NAICS 2,3, and 4 digit code by for Alberta, Alberta’s economic regions (ER) and census metropolitan areas (CMA) for the years 1987 to 2014 using annual averages.

  19. 2012 Economic Census of Island Areas: IA1200A02 | Island Areas: Geographic...

    • data.census.gov
    Updated Mar 15, 2025
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    ECN (2025). 2012 Economic Census of Island Areas: IA1200A02 | Island Areas: Geographic Area Series: General Statistics by Kind of Business for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2012 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/all/tables?q=ART%20REY%20INTERIORS
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    Dataset updated
    Mar 15, 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
    2012
    Area covered
    Guam, U.S. Virgin Islands, Northern Mariana Islands
    Description

    Release Date: N/A...Table Name.Island Areas: Geographic Area Series: General Statistics by Kind of Business for American Samoa, Commonwealth of the Northern Mariana Islands, Guam, Puerto Rico, and U.S. Virgin Islands: 2012....Release Schedule.The data in this file are scheduled for release on a flow basis beginning April 2014 through September 2015.....Key Table Information.Refer to Survey Methodology for additional information.....Universe.The universe includes all establishments with payroll at any time during 2012 and classified in NAICS sectors 21-81, except Puerto Rico that excludes establishments classified in NAICS sectors 23 and 31-33. Data for 2012 are based on the 2012 NAICS Manual......Geography Coverage.The data are shown at the following geographic levels for:...American Samoa..State-equivalent (ST - American Samoa).County-equivalent (COUNTY - District).Place-equivalent (PLACE - County).....Commonwealth of the Northern Mariana Islands..State-equivalent (ST - Northern Mariana Islands).County-equivalent (COUNTY - Municipality).....Guam..State-equivalent (ST - Guam).County-equivalent (COUNTY - Election District).....Puerto Rico..State-equivalent (ST - Puerto Rico).Planning Region (PLANREG).County-equivalent (COUNTY - Municipio).....U.S. Virgin Islands..State-equivalent (ST - U.S. Virgin Islands).County-equivalent (COUNTY - Island).Place-equivalent (PLACE - Town)......Industry Coverage.For American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands, the data are shown for:..Total of all sectors (00) level.Selected 2-digit through 5-digit NAICS code levels...For Puerto Rico, the data are shown at the following geographic and industry levels for:..State-equivalent (Puerto Rico) and Planning Regions - wholesale and retail trades and selected kinds of business by selected 2- through 5-digit NAICS code levels.County-equivalent (Municipios) - wholesale by 2-digit NAICS code level, retail trade and selected kinds of business by selected 2- through 4-digit NAICS code levels.......Data Items and Other Identifying Records.This file contains data for:. . Number of establishments. Sales, receipts, revenue, or shipments. Annual payroll. First-quarter payroll. Payroll taxes and other legally required employee benefits. Voluntarily provided benefits. Number of paid employees. Number of unpaid family workers (American Samoa only). Operating expenses. Total inventories, beginning-of-year. Total inventories, end-of-year. ....Sort Order.The data are presented in ascending geography for:..American Samoa (ST x COUNTY x PLACE) by NAICS code sequence.Commonwealth of the Northern Mariana Islands (ST x COUNTY) by NAICS code sequence.Guam (ST x COUNTY) by NAICS code sequence.Puerto Rico (ST x PLANREG X COUNTY) by NAICS code sequence.U.S. Virgin Islands (ST x COUNTY x PLACE) by NAICS code sequence.....FTP Download.Download the entire table athttps://www2.census.gov/econ2012/IA/sector00/IA1200A02.zip....Contact Information.U.S. Census Bureau, Economy-Wide Statistics Division.Island Areas and Survey of Business Owners Branch.Tel: (301)763-3314. ewd.outreach@census.gov...Note: The level of geographic detail covered varies by island. Refer to geographic area definitions for a detailed list of the geographies. Note that tables IA1200A17 - IA1200A19 include geography levels that only pertain to Puerto Rico. For the 2012 Economic Census of Puerto Rico, planning regions are replacing the former commercial regions that were used in previous censuses..Note: For the island areas, inventory data for sectors 51, 48-49, and 55 are based on reported data and not adjusted for nonresponse. For Puerto Rico, inventory data were only collected for wholesale and retail sectors and adjusted for nonresponse..Note: Includes only establishments or firms with payroll. Data based on the 2012 Economic Census of Island Areas. Figures may not add due to rounding. For information on confidentiality protection, sampling error, nonsampling, and definitions, see 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 of Island Areas

  20. 2022 Economic Surveys: AB2200CSA01 | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated Dec 19, 2024
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    ECN (2024). 2022 Economic Surveys: AB2200CSA01 | Annual Business Survey: Statistics for Employer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2022 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2022.AB2200CSA01?n=5121
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    Dataset updated
    Dec 19, 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.Annual Business Survey: Statistics for Employer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, Metro Areas, Counties, and Places: 2022.Table ID.ABSCS2022.AB2200CSA01.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.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 sex, ethnicity, race, and veteran status when classifiable.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 2022 reference year data are shown for the total for all sectors (00) and the 2-digit NAICS code levels for:United StatesStates and the District of ColumbiaMetropolitan Statistical AreasMicropolitan Statistical AreasMetropolitan DivisionsCombined Statistical AreasCountiesEconomic PlacesData are also shown for the 3- to 6-digit NAICS code levels for:United StatesStates and the District of ColumbiaFor information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00"), and at the 2- through 6-digit NAICS code levels depending on geography. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 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 number: CBDRB-FY24-0351).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 Information.FTP Download.https://www2.census.gov/programs...

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ECN (2021). 2017 Economic Census: EC1700COMP | All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (2012 NAICS Basis): 2017 and 2012 (ECN Core Statistics All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (Previous NAICS Basis)) [Dataset]. https://data.census.gov/table/ECNCOMP2017.EC1700COMP
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2017 Economic Census: EC1700COMP | All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (2012 NAICS Basis): 2017 and 2012 (ECN Core Statistics All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (Previous NAICS Basis))

2017: ECN Core Statistics All Sectors: Comparative Statistics for the U.S., States, and Selected Geographies (Previous NAICS Basis)

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Dataset updated
Sep 16, 2021
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
2017
Area covered
United States
Description

Release Date: 2021-09-16.Release Schedule:.The data in this file come from the 2017 Economic Census. For information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.Includes only establishments of firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry..Reliability for some of these data items can be found in the Geographic Area Series Reports for 2012 and 2017...Data Items and Other Identifying Records: .Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).Number of employees..For Wholesale Trade (42), data are published by Type of Operation (All establishments) only...For Professional, Scientific, and Technical Services (54), Educational Services (61), Health Care and Social Assistance (62), Arts, Entertainment, and Recreation (71), and Other Services (except Public Administration) (81), data are published by Tax Status (All Establishments) only...Geography Coverage:.The data are shown for employer establishments at the U.S. and State levels for all sectors. Mining sector (21) also shows data for Offshore Areas. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2012 NAICS code levels for all economic census sectors, except Construction sector (23), which shows data at the 2-, 3-, and 6-digit 2012 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Transportation and Warehousing (48-49): footnote 104- Railroad transportation and U.S. Postal Service are out of scope...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700COMP.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

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