The North American Industry Classification System (NAICS) is an industry classification sytems developed by the statistical agencies of Canada, Mexico and the United States. NAICS is based on 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 2012 updates NAICS Canada 2007. The new version was implemented in 2013 to coincide with the integration of Statistics Canada's business surveys into a generalized operational model.

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.

US Industry Data by State, by Industry

Number of Establishments, Sales, Payroll, and Employees

By Gary Hoover [source]

About this dataset

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

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How to use the dataset

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

Research Ideas

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

Acknowledgements

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

License

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

Columns

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

This table contains 105 series, with data for years 2007 - 2010 not all combinations necessarily have data for all years), and was last released on 2012-09-17. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), North American Industry Classification System (NAICS) (5 items: Personal and laundry services; Personal care services; Dry cleaning and laundry services; Funeral services ...), Industry expenditures (21 items: Total operating expenses; Salaries; wages and benefits; Commissions paid to non-employees; Professional and business services fees ...).

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

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 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 Professional, Scientific, and Technical Services (54), data are published by Tax Status (All Establishments) only...Geography Coverage:..The data are shown for employer establishments at the U.S. level only. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:..The data are shown at the 6-digit 2012 NAICS code by 8-digit 2017 NAICS bridge code levels for selected industries including Mining (21), Manufacturing (31-33), Retail Trade (44-45), Information (51), Real Estate and Rental and Leasing (53), and Professional, Scientific, and Technical Services (54). For information about NAICS, see Economic Census: Technical Documentation: Economic Census Code Lists...Footnotes:..Not applicable...FTP Download:..Download the entire table at: http://www2.census.gov/programs-surveys/economic-census/data/2017/sector00/EC1700BRIDGE2.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.

Uncovering Retail Trends with US Economic Census Data

2012 Store Types and Sales by Product Category

By Gary Hoover [source]

About this dataset

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

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How to use the dataset

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

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

Research Ideas

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

Acknowledgements

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

License

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

Columns

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

These data represent annual greenhouse gas (GHG) emission totals by industry sectors and households for the total U.S. and by state, for years 2012 to 2020. Industry sectors are defined by North American Industry Classification System (NAICS) 2012 codes, with additional codes added for households and government. Emissions of 16 different GHGs, which are the same GHGs as reported in the U.S. GHG Inventory, are included. Values are given in total kilograms emitted for the given year, sector and location. Data are provided in two alternative formats, as Excel files and as Apache parquet files. The Excel files include: 1) GHGs by 114 aggregate level sectors by state and year, 2) GHGs by 114 aggregate level sectors by year for the U.S., and 3) GHGs by 540 detailed sectors by year for the U.S. The Excel files use a simplified version (not all fields included) of the Flow-by-Sector format (see link to format specification below). The parquet files align with the Excel files except are also separated by year, and provide the complete flow by sector format, where files with "state_m1" correspond to the aggregate level state datasets, files with "national_m1" correspond to the aggregate level national dataset, and files with "national_m2" correspond to the aggregate level state datasets, Standard metadata files in JSON format, and log and validation files in text format (with .log extension) are provided for each parquet file. The data are a product of updated sector attribution models that improve upon the National Greenhouse Gas Industry Attribution Model. The models used to generate the national aggregate and the state datasets are sector attribution models coded in the FLOWSA v2.0.0 tool (https://github.com/USEPA/flowsa/tree/v2.0.0). The national detailed datasets are developed with FLOWSA v2.0.1 (https://github.com/USEPA/flowsa/tree/v2.0.1).

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

Industry-year panel dataset derived from the VRscores 2024 release. Each record corresponds to a NAICS code and calendar year from 2012–2024 with at least five matched workers across any year. Variables include the NAICS code and description, worker counts, raw and imputed L2 voter registration counts by party, average match quality, raw and imputed partisan shares, two-party and overall margins, partisan diversity indices, effective number of parties, and a processing timestamp. The dataset contains 13,135 industry-year rows spanning roughly 1,010 NAICS codes per year. It is built from a matching of employment records from Revelio Labs (April 2025) with voter registration data from the L2 voter file (November 2024) using ensemble linkage techniques. Small industries (<5 matched workers) are excluded, one-to-one matches are enforced, and the VRscores methodology and working paper document the data processing and definitions. These files are provided in CSV format; they mirror the industry parquet release but are stored as comma-separated values for convenience.

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

This dataset contains 2012 national level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

National economic indicators for recycling sectors, generally North American Industry Classification System (NAICS) 2012 codes, using USEPA Recycling Economic Information (REI) Report as the primary data source. This dataset was developed with FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2) and the method file https://github.com/USEPA/HIO/blob/v0.1.0/flowsa/flowbysectormethods/REI_primaryfactors_national_2012.yaml.

.Table NameZIP Code Business Statistics: Total for Zip Code: 2012 .Release ScheduleThe data in this file were released on June 26, 2014..Key Table InformationBeginning with reference year 2007, ZBP data are released using the Noise disclosure methodology to protect confidentiality. See Survey Methodologyfor complete information on the coverage and methodology of the ZIP Code Business Patterns data series. .UniverseThe universe of this file is all operating establishments with one or more paid employees. This universe includes most establishments classified in the North American Industry Classification System (NAICS) Codes 11 through 813990. For specific exclusions and inclusions, see Industry Classification of Establishments. .Geography CoverageThe data are shown at the 5-digit ZIP Code level only. .Industry CoverageThe data are shown for NAICS code 00 (Total for all sectors) only. .Data Items and Other Identifying RecordsThis file contains data on the number of establishments, total employment, first quarter payroll and annual payroll. .Sort OrderData are presented in ascending ZIP Code sequence. .FTP DownloadDownload the entire table at https://www2.census.gov/econ2012/CB/sector00/CB1200CZ11.zip. .Contact InformationU.S. Census Bureau Economy-Wide Statistics Division Enterprise Statistics Branch Tel: (301)763-2580 Email: ewdd.county.business.patterns@census.gov ..Data User Notice posted on March 24, 2016: Census Bureau staff identified processing errors that affect selected data from the 2012 and 2013 ZIP Code Business Patterns (ZBP). As a result, we revised noise flags and employment range flags for selected ZIP codes and 2012 and 2013 employment and payroll totals for ZIP codes 02467 and 87106..Data User Notice posted on May 19, 2016: Industry Coverage for 2012 and 2013 ZIP Code Business Patterns by Employment Size Class has been updated to include 2- through 6- digit NAICS code levels for all sectors with published data. .NOTE: Data based on the 2012 Zip Business Patterns. For information on confidentiality protection, nonsampling error, and definitions, see Survey Methodology..Source: U.S. Census Bureau, 2012 ZIP Code Business Patterns.

This dataset contains 2012 national-level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the getFlowBySector() function and passing "Land_national_2012" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v1.0.0). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

Release Date: 2014-12-09...Table Name. Geographic Area Series: Shipment Characteristics of Temperature Controlled Shipments by NAICS for the United States: 2012....ReleaseSchedule. The data in this file are scheduled for release in December 2014.....Key TableInformation.None.....Universe. The 2012 Commodity Flow Survey (CFS) covers business establishments with paid employees that are located in the United States and are classified using the 2007 North American Industry Classification System (NAICS) in mining, manufacturing, wholesale trade, and selected retail trade and services industries, namely, electronic shopping and mail-order houses, fuel dealers, and publishers. Establishments classified in transportation, construction, and all other retail and services industries are excluded from the survey. Farms, fisheries, foreign establishments, and most government-owned establishments are also excluded. The survey also covers auxiliary establishments (i.e., warehouses and managing offices) of multi-establishments companies. For the 2012 CFS, an advance survey (pre-canvass) of approximately 100,000 establishments was conducted to identify establishments with shipping activity and to try and obtain an accurate measure of their shipping activity. Surveyed establishments that indicated undertaking shipping activities and the non-respondents to the pre-canvass were included in the CFS sample universe....GeographyCoverage.The data are shown at the U.S. level only.....IndustryCoverage.Selected 2007 NAICS codes.....Data ItemsandOtherIdentifyingRecords. This file contains data on:..Value ($ Millions).Tons (Thousands).Ton-miles (Millions).Average miles per shipment (number).Coefficient of variation or standard error for all above data items. .The data are shown by NAICS2007......Sort Order.Data are presented in ascending NAICS2007.....FTP Download. Download the entire table at Table 36 FTP. ....ContactInformation.U.S. Census Bureau.Commodity Flow Survey.Tel: (301)763-2108.Email: erd.cfs@census.gov...The estimates presented are based on data from the 2012 Commodity Flow Surveys (CFS) and supersede data previously released in the 2012 CFS Preliminary Report. These estimates only cover businesses with paid employees. All dollar values are expressed in current dollars, i.e., they are based on price levels in effect at the time of the sample. Estimates may not be additive due to rounding. ...For information on Commodity Flow Survey geographies, including changes for 2012, see Census Geographies. .Symbols:.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..Z - Rounds to Zero..X - Not Applicable..For a complete list of all economic programs symbols, see the Symbols Glossary..Source: U.S. Department of Transportation, Bureau of Transportation Statistics and U.S. Census Bureau, 2012 Commodity Flow Survey. .Note: The noise infusion data protection method has been applied to prevent data disclosure, and to protect respondent's confidentiality. Estimates are based on a sample of establishments and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on confidentiality protection, sampling error, and nonsampling error see Survey Methodology.

VITAL SIGNS INDICATOR Jobs by Industry (EC1)

FULL MEASURE NAME Employment by place of work by industry sector

LAST UPDATED July 2019

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: Current Employment Statistics 1990-2017 http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment by place of work and by industry. Industries are classified by their North American Industry Classification System (NAICS) code. Vital Signs aggregates employment into 11 industry sectors: Farm, Mining, Logging and Construction, Manufacturing, Trade, Transportation and Utilities, Information, Financial Activities, Professional and Business Services, Educational and Health Services, Leisure and Hospitality, Government, and Other. EDD counts all public-sector jobs under Government, including public transportation, public schools, and public hospitals. The Other category includes service jobs such as auto repair and hair salons and organizations such as churches and social advocacy groups. Employment in the technology sector are classified under three categories: Professional and Business Services, Information, and Manufacturing. The latter category includes electronic and computer manufacturing. For further details of typical firms found in each sector, refer to the 2012 NAICS Manual (http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2012).

The Bureau of Labor Statistics (BLS) provides industry estimates for non-Bay Area metro areas. Their main industry employment estimates, the Current Employment Survey and Quarterly Census of Employment and Wages, do not provide annual estimates of farm employment. To be consistent, the metro comparison evaluates nonfarm employment for all metro areas, including the Bay Area. Industry shares are thus slightly different for the Bay Area between the historical trend and metro comparison sections.

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 the nation’s employment in that same sector. Because BLS does not provide national farm estimates, note that there is no LQ for regional farm employment. 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.

VITAL SIGNS INDICATOR Change in Jobs by Industry (EC2)

FULL MEASURE NAME Employment by place of work by industry sector

LAST UPDATED May 2019

DESCRIPTION Change in jobs by industry is the percent change and absolute difference in the number of people who have jobs within a certain industry type in a given geographical area

DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2017 http://www.labormarketinfo.edd.ca.gov/

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment by place of work and by industry. Industries are classified by their North American Industry Classification System (NAICS) code. Vital Signs aggregates employment into 11 industry sectors: Farm, Mining, Logging and Construction, Manufacturing, Trade, Transportation and Utilities, Information, Financial Activities, Professional and Business Services, Educational and Health Services, Leisure and Hospitality, Government, and Other. EDD counts all public-sector jobs under Government, including public transportation, public schools, and public hospitals. The Other category includes service jobs such as auto repair and hair salons and organizations such as churches and social advocacy groups. Employment in the technology sector are classified under three categories: Professional and Business Services, Information, and Manufacturing. The latter category includes electronic and computer manufacturing. For further details of typical firms found in each sector, refer to the 2012 NAICS Manual (http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2012).

The Bureau of Labor Statistics (BLS) provides industry estimates for non-Bay Area metro areas. Their main industry employment estimates, the Current Employment Survey and Quarterly Census of Employment and Wages, do not provide annual estimates of farm employment. To be consistent, the metro comparison evaluates nonfarm employment for all metro areas, including the Bay Area. Industry shares are thus slightly different for the Bay Area between the historical trend and metro comparison sections.

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 the nation’s employment in that same sector. Because BLS does not provide national farm estimates, note that there is no LQ for regional farm employment. 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.

This dataset contains 2017 national point source releases to ground by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. This dataset is associated with the following publication: Ingwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0. Scientific Data. Springer Nature Group, New York, NY, 194, (2022).

This dataset contains 2018 national Commercial Non-Hazardous Waste by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSA v1.3.0 (https://github.com/USEPA/flowsa/tree/v1.3.0) and the method file https://github.com/USEPA/flowsa/blob/v1.3.0/flowsa/methods/flowbysectormethods/CNHW_national_2018.yaml. The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.