The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

VITAL SIGNS INDICATOR
Jobs by Industry (EC1)

FULL MEASURE NAME
Employment by place of work by industry sector

LAST UPDATED
December 2022

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

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

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

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

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

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

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

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

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

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

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

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

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

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

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

VITAL SIGNS INDICATOR
Jobs by Industry (EC1)

FULL MEASURE NAME
Employment by place of work by industry sector

LAST UPDATED
December 2022

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

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

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

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

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

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

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

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

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

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

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

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

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

This table replaces table 383-0009. Data in this table are not fully comparable with those previously published. Data by industry included in this table corresponds to S and M levels as well as some complementary details at L and W levels of aggregation. For concepts, methods, sources and details concerning the industry classification system, consult the following link http://www.statcan.gc.ca/imdb-bmdi/5103-eng.htm. Provincial and territorial data are available from 1997. Statistics are available from 1999, year of the creation of the Territory of Nunavut. The estimate of the total number of jobs covers two main categories: paid workers jobs and self-employed jobs. These are jobs held by workers whose base pay is calculated at an hourly rate, or on the basis of a fixed amount for a period of at least a week, or in the form of sales commission, piece rates, mileage allowances and so on. Includes workers drawing pay for services rendered or for paid absences and for whom the employer must complete a T-4 Supplementary form from Canada Revenue Agency. These are jobs held by unincorporated working owners, self-employed persons who do not have a business and persons working in a family business without pay. The number of hours worked in all jobs is the annual average for all jobs times the annual average hours worked in all jobs. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. The number of hours worked for paid workers jobs is the average number of paid workers during the year times the annual average number of hours worked in paid jobs. The number of hours worked for self-employed jobs is the average number of paid or unpaid self-employed workers during the year times the annual average number of hours worked in paid or unpaid self-employed jobs. Self-employed jobs are jobs held by unincorporated working owners, self-employed persons who do not have a business and persons working in a family business without pay. This is the annual average of hours worked for the respective job category mentioned in the variable title. The total compensation for all jobs consists of all payments in cash or in kind made by domestic producers to workers for services rendered. It includes labour income for paid workers and imputed labour income for self-employed workers. Often referred to as labour income, it includes two components— wages and salaries, and supplementary labour income. The wages and salaries include all types of regular earnings, special payments, stock options and bonus payments. Supplementary labour income comprises employers' contributions or payments to a variety of paid workers benefit plans for the health and financial well-being of paid workers and their families. Self-employed income consists of an imputed labour income for self-employed workers. The ratio between total compensation paid for all jobs, and the total number of jobs. The ratio between total compensation for all jobs, and the number of hours worked. The term 'hourly compensation' is often used to refer to the total compensation per hour worked. The ratio of labour income paid to paid workers to the number of hours worked. Total economic activities that have been realized within the country. This combines the North American Industry Classification System (NAICS) codes 11-91. This combines the North American Industry Classification System (NAICS) codes 111, 112. This combines the North American Industry Classification System (NAICS) code 111 excluding 1114. This combines the North American Industry Classification System (NAICS) codes 1151, 1152. This combines the North American Industry Classification System (NAICS) codes 212393, 212394, 212395, 212397, 212398. This combines the North American Industry Classification System (NAICS) codes 213111, 213118. This combines the North American Industry Classification System (NAICS) codes 213117, 213119. This combines the North American Industry Classification System (NAICS) codes 2212, 2213. Special hybrid: corresponds to sections of the North American Industry Classification System (NAICS) code 23. This combines the North American Industry Classification System (NAICS) codes 3112, 3118, 3119. This combines the North American Industry Classification System (NAICS) codes 31213, 31214. This combines the North American Industry Classification System (NAICS) codes 313, 314. This combines the North American Industry Classification System (NAICS) codes 315, 316. This combines the North American Industry Classification System (NAICS) code 324 excluding 32411. This combines the North American Industry Classification System (NAICS) codes 3255, 3256, 3259. This combines the North American Industry Classification System (NAICS) code 327 excluding 3273. This combines the North American Industry Classification System (NAICS) codes 3322, 3329. This combines the North American Industry Classification System (NAICS) codes 3332, 3333. This combines the North American Industry Classification System (NAICS) codes 3343, 3345, 3346. This combines the North American Industry Classification System (NAICS) codes 485, 487. This combines the North American Industry Classification System (NAICS) codes 4852, 4854, 4855, 4859, 487. This combines the North American Industry Classification System (NAICS) codes 4861, 4869. This combines the North American Industry Classification System (NAICS) codes 491, 492. This combines the North American Industry Classification System (NAICS) codes 51112, 51113, 51114, 51119. This combines the North American Industry Classification System (NAICS) codes 51211, 51212, 51219. This combines the North American Industry Classification System (NAICS) codes 521, 5221. This combines the North American Industry Classification System (NAICS) codes 52211, 52219. This combines the North American Industry Classification System (NAICS) codes 523, 526. Corresponds to code 53 of the North American Industry Classification System (NAICS). However, it differs from the Input-Output code BS53 since it excludes the industry of owner-occupied dwellings ( BS5311A). This combines the North American Industry Classification System (NAICS) codes 5312, 5313. This combines the North American Industry Classification System (NAICS) code 532 excluding 5321. This combines the North American Industry Classification System (NAICS) codes 5411, 5412. This combines the North American Industry Classification System (NAICS) codes 5414, 5416, 5417, 5419. This combines the North American Industry Classification System (NAICS) codes 5612, 5619. his combines the North American Industry Classification System (NAICS) code 61 excluding 6113. This combines the North American Industry Classification System (NAICS) codes 6114-6117. This combines the North American Industry Classification System (NAICS) code 62 excluding 624. This combines the North American Industry Classification System (NAICS) codes 6213, 6214, 6215, 6216, 6219. This combines the North American Industry Classification System (NAICS) codes 711, 712. This combines the North American Industry Classification System (NAICS) codes 7131, 7139. This combines the North American Industry Classification System (NAICS) codes 7212, 7213. This combines the North American Industry Classification System (NAICS) codes 8112, 8113, 8114. This combines the North American Industry Classification System (NAICS) codes 812, 814. This combines the North American Industry Classification System (NAICS) codes 8121, 8129. This combines the North American Industry Classification System (NAICS) code 813 excluding 8131. This combines the North American Industry Classification System (NAICS) code 911 excluding 9111. This combines the North American Industry Classification System (NAICS) codes 913, 914. Statistics are available until 1998 inclusively; starting in 1999, data for Northwest Territories and Nunavut are presented separately. This combines the North American Industry Classification System (NAICS) code 112 excluding 1125. Starting in 2014, the crop production industry incorporates the activities related to cannabis. Starting in 2014, the miscellaneous store retailers industry incorporates the activities related to cannabis. The ratio of wages and salaries paid to paid workers to their number of hours worked.

Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

Graph and download economic data for Employment Cost Index: Wages and salaries for Private industry workers in Aircraft manufacturing (CIU2023211000000I) from Q1 2001 to Q1 2025 about aircraft, ECI, salaries, workers, private industries, wages, private, manufacturing, industry, and USA.

A comprehensive dataset of top naics industries for H-1B Visa sponsorships in 2025, including salary data, petition trends, and employer insights. Updated annually with the latest trends and employer behavior regarding H-1B visa sponsorship.

This dataset is a customization of Statistics Canada data to present information on the number of employees, average hourly earnings and average actual hours by gender, age group, education, firm size, wage distribution by rural/urban areas by 2 and 3 digit North American Industry Classification (NAICS) codes for Alberta from January 2014 to December 2018.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

This table replaces tables 36-10-0214 and 36-10-0215, which are now archived. For concepts, methods and sources, see http://www.statcan.gc.ca/imdb-bmdi/5103-eng.htm. Data by industry included in this table correspond to the Canadian System of Macroeconomic Accounts input-output detailed level of aggregation. The table is built around the Input-Output Industry Classification (IOIC). This one identifies both Institutional Sectors and Industries based on the North American Industry Classification System (NAICS). The alphanumeric codes appearing in square brackets besides each industry title represent the IOIC identification code. The first two characters of the IOIC alphanumeric codes represent the sector. IOIC codes beginning with a BS represent Business Sector industries, codes beginning with an NP represent Non-Profit Institutions Serving Household (NPISH) Sector industries, and codes beginning with a GS represent Government Sector industries. The IOIC is a hierarchical classification. IOIC codes consisting of four alpha-numeric characters represent industries at the Summary (S) level of aggregation, IOIC codes consisting of five or six alpha-numeric characters represent industries at the Medium (M) and IOIC codes consisting of eight alpha-numeric characters represent industries at the Detailed (D) level of aggregation. The classifications of the Input-Output tables can be found at the following link http://www.statcan.gc.ca/nea-cen/hr2012-rh2012/data-donnees/aggregation-agregation/aggregation-agregation-eng.htm. Provincial and territorial data are available from 1997. For Northwest Territories including Nunavut, statistics are available until 1998 inclusively. Starting in 1999, data for Northwest Territories and Nunavut are presented separately. The estimate of the total number of jobs covers two main categories: employee jobs and self-employed jobs. The number of hours worked in all jobs is the annual average for all jobs times the annual average hours worked in all jobs. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost, in brief, work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. This is the annual average of hours worked per job in all categories of jobs. The total compensation for all jobs consists of all payments in cash or in kind made by domestic producers to workers for services rendered. It includes wages and salaries and employer's social contributions of employees, plus an imputed labour income for self-employed workers. For a given industry, value added is equal to its gross production (mainly sales) less its intermediate consumption (energy, raw materials, services) stemming from other industries. The value added corresponds to Gross domestic product (GDP) at basic prices which corresponds to the GDP at market prices excluding net taxes on products. Real value added is evaluated in 2017 chained dollars. A double-deflation procedure is used to measure real value added: real intermediate inputs are subtracted from real gross output. For productivity measurement, a real value added Fisher chain index is used for each industry. Chain indexes are calculated for consecutive periods to determine variation of quantities from one period to another. The chain indexes offer the advantage of reducing the variation in the values recorded by the various fixed-base indexes. Labour productivity is the ratio between real value added and hours worked. Real value added for each industry and each aggregate is constructed from a Fisher chain index. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This is the labour cost per unit of output, and it equals labour compensation divided by real value added. It is also equal to the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure long-term inflation pressures arising from wage growth. This is the unit labour cost expressed in US dollars. This is obtained by dividing the unit labour cost by the exchange rate between Canada and the United States. Labour share corresponds to the ratio of total compensation as a percentage to the nominal value added. The North American Industry Classification System (NAICS) is an industry classification system triggered by the North American Free Trade Agreement, that was developed by the statistical agencies of Canada, Mexico and the United States. It is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply side or production oriented principles, to ensure that industrial data, classified to NAICS, is suitable for the analysis of production related issues such as industrial performance. Since 1997, the industry classification system of the Canadian System of Macroeconomic Accounts input-output tables is based on NAICS. In the Macroeconomic Accounts industries, the levels of the different classification systems were chosen so as to provide the most detail possible in order to maximize continuity with the previous classification systems developed by Statistics Canada since 1961. For more details, see http://www.statcan.gc.ca/imdb-bmdi/5103-eng.htm. Total economic activities that have been realized within the country. This includes both business and non-business sectors. This combines the business establishments of the North American Industry Classification System (NAICS) codes 11-81, with the exception of owner occupied dwellings industry. This combines the business establishments of the North American Industry Classification System (NAICS) codes 11, 21, 22, 23, 31-33. This combines the business establishments of the North American Industry Classification System (NAICS) code 11. Starting in 2014, the crop production industry incorporates the activities related to cannabis. This combines the business establishments for the North American Industry Classification System (NAICS) codes 111, 112. This combines the business establishments for the North American Industry Classification System (NAICS) code 111 excluding 1114. Starting in 2014, the crop production industry incorporates the activities related to illegal cannabis. This combines the business establishments for the North American Industry Classification System (NAICS) code 112, excluding 1125 This combines the business establishments for the North American Industry Classification System (NAICS) codes 1151, 1152. This combines the business establishments for the North American Industry Classification System (NAICS) codes 212393, 212394, 212395, 212397, 212398. This combines the business establishments for the North American Industry Classification System (NAICS) codes 213111, 213118. This combines the business establishments for the North American Industry Classification System (NAICS) codes 213117, 213119. This combines the business establishments for the North American Industry Classification System (NAICS) codes 2212, 2213. Special hybrid: corresponds to sections of the North American Industry Classification System (NAICS) code 23. This combines the business establishments of the North American Industry Classification System (NAICS) codes 311-316, 321-327, 331-337, 339. This combines the business establishments for the North American Industry Classification System (NAICS) codes 3112, 3118, 3119. This combines the business establishments for the North American Industry Classification System (NAICS) codes 31213, 31214. This combines the business establishments for the North American Industry Classification System (NAICS) codes 313, 314. This combines the business establishments for the North American Industry Classification System (NAICS) codes 315, 316. This combines the business establishments for the North American Industry Classification System (NAICS) code 324, excluding 32411. This combines the business establishments for the North American Industry Classification System (NAICS) codes 3255, 3256, 3259. This combines the business establishments for the North American Industry Classification System (NAICS) code 327, excluding 3273. This combines the business establishments for the North American Industry Classification System (NAICS) codes 3322, 3329. This combines the business establishments for the North American Industry Classification System (NAICS) codes 3332, 3333. This combines the business establishments for the North American Industry Classification System (NAICS) codes 3343, 3345, 3346. This combines the business establishments of the North American Industry Classification System (NAICS) codes 41, 44-45, 48-49, 51, 52, 53, 54, 55, 56, 61, 62, 71, 72, 81 with the exception of owner occupied dwelling industry. This combines the business establishments for the North American Industry Classification System (NAICS) codes 485, 487. This combines the business establishments for the North American Industry Classification System (NAICS) codes 4852, 4854, 4855, 4859, 487. This combines the business establishments for the North American Industry Classification System (NAICS) codes 4861, 4869. This combines the business establishments for the North American Industry Classification System (NAICS) codes 491, 492. This combines the business establishments for the North American Industry Classification System (NAICS) codes 51112, 51113, 51114, 51119. This combines the business

(StatCan Product) Customization details: This information product has been customized to present information on commodity sector estimates for Alberta and Canada for 2007 (Revised) and 2008 (Preliminary). Other variables include: NAICS Code, Commodity Code, NAICS and Commodity Description, Number of Establishments, Total Revenue, Revenue from Goods Manufactured (Financial Data), Revenue from Goods Manufactured (Commodity Data), Total Expenses, Total Salaries and Wages (Direct and Indirect Labour), Production Workers Wages (Direct Labour), Non-manufacturing Employees Salaries (Indirect Labour), Total Cost of Energy, Water Utility and Vehicle Fuel , Cost of Energy and Water Utility, Cost of Vehicle Fuel, Cost of Materials and Supplies, Total Number of Employees (Direct and Indirect Labour), Number of Production Workers (Direct Labour), Number of Manufacturing Employees (Indirect Labour), Total Opening Inventories, Opening Inventories - Goods or Work in Progress, Opening Inventories - Finished Goods Manufactured, Total Closing Inventories, Closing Inventories - Goods/Work in Progress, Closing Inventories - Finished Goods Manufactured, Manufacturing Value Added. For more information about the industries and commodity codes presented contact OSI.Support@gov.ab.ca. Annual Survey of Manufactures and Logging: The Annual Survey of Manufactures and Logging (ASML) is a survey of the manufacturing and logging industries in Canada. It is intended to cover all establishments primarily engaged in manufacturing and logging activities, as well as the sales offices and warehouses which support these establishments. The details collected include principal industrial statistics (such as revenue, employment, salaries and wages, cost of materials and supplies used, cost of energy and water utility, inventories, etc.), as well as information about the commodities produced and consumed. Data collected by the Annual Survey of Manufactures and Logging are important because they help measure the production of Canada's industrial and primary resource sectors, as well as provide an indication of the well-being of each industry covered by the survey and its contribution to the Canadian economy. Within Statistics Canada, the data are used by the Canadian System of National Accounts, the Monthly Survey of Manufacturing (record number 2101) and Prices programs. The data are also used by the business community, trade associations, federal and provincial departments, as well as international organizations and associations to profile the manufacturing and logging industries, undertake market studies, forecast demand and develop trade and tariff policies.

VITAL SIGNS INDICATOR
Jobs by Industry (EC1)

FULL MEASURE NAME
Employment by place of work by industry sector

LAST UPDATED
December 2022

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

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

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

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

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

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

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

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

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

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

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

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

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

This 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 ...).

Data on employment income statistics by industry groups (4-digit code) from the North American Industry Classification System (NAICS) 2017, visible minority, highest level of education, work activity during the reference year, age and gender, for the population aged 15 years and over who reported weeks worked and employment income in 2020 in private households in Canada, provinces and territories.

Number of job vacancies and payroll employees, job vacancy rate, and average offered hourly wage by two-digit North American Industry Classification System (NAICS) code, last 5 quarters.

The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

Fort Collins 4th quarter employment and wages from 2013-2017 by 3-digit NAICS code as reported to the Unemployment Administration. Certain categories have been suppressed to preserve business anonymity.

(StatCan Product) Customization details: This information product has been customized to present information on commodity sector estimates for Alberta and Canada for 2007 (Revised) and 2008 (Preliminary). Other variables include: NAICS Code, Commodity Code, NAICS and Commodity Description, Number of Establishments, Total Revenue, Revenue from Goods Manufactured (Financial Data), Revenue from Goods Manufactured (Commodity Data), Total Expenses, Total Salaries and Wages (Direct and Indirect Labour), Production Workers Wages (Direct Labour), Non-manufacturing Employees Salaries (Indirect Labour), Total Cost of Energy, Water Utility and Vehicle Fuel , Cost of Energy and Water Utility, Cost of Vehicle Fuel, Cost of Materials and Supplies, Total Number of Employees (Direct and Indirect Labour), Number of Production Workers (Direct Labour), Number of Manufacturing Employees (Indirect Labour), Total Opening Inventories, Opening Inventories - Goods or Work in Progress, Opening Inventories - Finished Goods Manufactured, Total Closing Inventories, Closing Inventories - Goods/Work in Progress, Closing Inventories - Finished Goods Manufactured, Manufacturing Value Added. For more information about the industries and commodity codes presented contact OSI.Support@gov.ab.ca. Annual Survey of Manufactures and Logging: The Annual Survey of Manufactures and Logging (ASML) is a survey of the manufacturing and logging industries in Canada. It is intended to cover all establishments primarily engaged in manufacturing and logging activities, as well as the sales offices and warehouses which support these establishments. The details collected include principal industrial statistics (such as revenue, employment, salaries and wages, cost of materials and supplies used, cost of energy and water utility, inventories, etc.), as well as information about the commodities produced and consumed. Data collected by the Annual Survey of Manufactures and Logging are important because they help measure the production of Canada's industrial and primary resource sectors, as well as provide an indication of the well-being of each industry covered by the survey and its contribution to the Canadian economy. Within Statistics Canada, the data are used by the Canadian System of National Accounts, the Monthly Survey of Manufacturing (record number 2101) and Prices programs. The data are also used by the business community, trade associations, federal and provincial departments, as well as international organizations and associations to profile the manufacturing and logging industries, undertake market studies, forecast demand and develop trade and tariff policies.