100+ datasets found
  1. Wages

    • open.canada.ca
    csv
    Updated Dec 12, 2024
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    Employment and Social Development Canada (2024). Wages [Dataset]. https://open.canada.ca/data/en/dataset/adad580f-76b0-4502-bd05-20c125de9116
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Ministry of Employment and Social Development of Canadahttp://esdc-edsc.gc.ca/
    License

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

    Description

    The wages on the Job Bank website are specific to an occupation and provide information on the earnings of workers at the regional level. Wages for most occupations are also provided at the national and provincial level. In Canada, all jobs are associated with one specific occupational grouping which is determined by the National Occupational Classification. For most occupations, a minimum, median and maximum wage estimates are displayed. They are update annually. If you have comments or questions regarding the wage information, please contact the Labour Market Information Division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

  2. C

    Current Employee Names, Salaries, and Position Titles

    • chicago.gov
    • data.cityofchicago.org
    • +5more
    csv, xlsx, xml
    Updated Aug 30, 2025
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    City of Chicago (2025). Current Employee Names, Salaries, and Position Titles [Dataset]. https://www.chicago.gov/city/en/depts/dhr/dataset/current_employeenamessalariesandpositiontitles.html
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Aug 30, 2025
    Dataset authored and provided by
    City of Chicago
    Description

    This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html

    Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

  3. A

    Employee Earnings Report

    • data.boston.gov
    csv
    Updated Feb 28, 2025
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    Office of Human Resources (2025). Employee Earnings Report [Dataset]. https://data.boston.gov/dataset/employee-earnings-report
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    csv, csv(2597411), csv(3372412), csv(2535798), csv(2407767), csv(2519912), csv(2780939), csv(13225), csv(1967674)Available download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    Office of Human Resources
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.

    See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.

  4. Data from: Quarterly Census of Employment and Wages

    • icpsr.umich.edu
    Updated Oct 22, 2015
    + more versions
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    United States Department of Labor. Bureau of Labor Statistics (2015). Quarterly Census of Employment and Wages [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36312
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    Dataset updated
    Oct 22, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36312/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36312/terms

    Area covered
    United States
    Description

    The Quarterly Census of Employment and Wages (QCEW) program is a cooperative program involving the Bureau of Labor Statistics (BLS) of the United States Department of Labor and the State Employment Security Agencies (SESAs). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by State unemployment insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Publicly available data files include information on the number of establishments, monthly employment, and quarterly wages, by NAICS industry, by county, by ownership sector, for the entire United States. These data are aggregated to annual levels, to higher industry levels (NAICS industry groups, sectors, and supersectors), and to higher geographic levels (national, State, and Metropolitan Statistical Area (MSA)). To download and analyze QCEW data, users can begin on the QCEW Databases page. Downloadable data are available in formats such as text and CSV. Data for the QCEW program that are classified using the North American Industry Classification System (NAICS) are available from 1990 forward, and on a more limited basis from 1975 to 1989. These data provide employment and wage information for arts-related NAICS industries, such as: Arts, entertainment, and recreation (NAICS Code 71) Performing arts and spectator sports Museums, historical sites, zoos, and parks Amusements, gambling, and recreation Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic design services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, book and music stores Book, periodical, and music stores Art dealers For years 1975-2000, data for the QCEW program provide employment and wage information for arts-related industries are based on the Standard Industrial Classification (SIC) system. These arts-related SIC industries include the following: Book stores (SIC 5942) Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums, Botanical, Zoological Gardens (SIC Code 84) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Services (SIC Code 78) The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit NAICS industry at the national, state, and county levels. At the national level, the QCEW program provides employment and wage data for almost every NAICS industry. At the State and area level, the QCEW program provides employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. Employment data under the QCEW program represent the number of covered workers who worked during, or received pay for, the pay period including the 12th of the month. Excluded are members of the armed forces, the self-employed, proprietors, domestic workers, unpaid family workers, and railroad workers covered by the railroad unemployment insurance system. Wages represent total compensation paid during the calendar quarter, regardless of when services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans). The QCEW program does provide partial information on agricultural industries and employees in private households. Data from the QCEW program serve as an important source for many BLS programs. The QCEW data are used as the benchmark source for employment by the Current Employment Statistics program and the Occupational Employment Statistics program. The UI administrative records collected under the QCEW program serve as a sampling frame for BLS establishment surveys. In addition, data from the QCEW program serve as a source to other Federal and State programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses QCEW data as the base for developing the wage and salary component of personal income. The Employment and Training Administration (ETA) of the Department of Labor and the SESAs use QCEW data to administer the employment security program. The QCEW data accurately reflect the ex

  5. F

    Average Weekly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
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    (2025). Average Weekly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000011
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

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

    Description

    Graph and download economic data for Average Weekly Earnings of All Employees, Total Private (CES0500000011) from Mar 2006 to Jul 2025 about earnings, establishment survey, private, employment, and USA.

  6. C

    Allegheny County Employee Salaries

    • data.wprdc.org
    csv
    Updated Jul 28, 2025
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    Allegheny County (2025). Allegheny County Employee Salaries [Dataset]. https://data.wprdc.org/dataset/allegheny-county-employee-salaries
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    csv(979228), csv(688679), csv(1208893), csv(976238), csv(924093), csv(990014), csv(983512), csv(938407), csv(915421), csv(788027)Available download formats
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    Allegheny County
    License

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

    Area covered
    Allegheny County
    Description

    This dataset includes annual salary, regular pay, incentive pay, and gross pay for employees under the County Executive and independently elected County officials for the years 2016 to the present, and is updated quarterly.

    For December files, Annual Salary is the employee's annual salary or annualized wage as of the last pay period for the year, and the pay data fields (Regular Pay, Incentive Pay and Gross Pay) are payments made to the employee through the last pay period of the year. The June file contains the Annual Salary, and the pay data as of the last pay period in June. Note that the June file is replaced by the December file each year.

    Union contracted salaries and wages which were not settled during the calendar year reflect the wage as of the end of the year. Regular Pay for these positions includes salaries and wages for the year it was paid, not the year it was earned.

    In addition to salary or wages for days worked and retroactively settled contract payments, Regular Pay also includes pay for days such as holidays, sick days, and vacation days. Overtime Pay includes pay for extra work typically at a wage rate different from regular wages as set forth in a collective bargaining agreement. Incentive Pay includes such things as a wellness incentive and longevity pay.

    Employee names are included in the dataset with the following exceptions permitted by the Pennsylvania Right to Know Law:

    • The names of individuals who were active sworn law enforcement officers during the year; and
    • Information that would disclose individually identifiable health information.

    Additionally, records related to Court of Common Pleas employees would need to be requested from the Courts.

    In March 2022, the salary data files prior to 2021 were updated so that all columns matched for consistent presentation.

  7. T

    United States Average Hourly Wages

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1964 - Jul 31, 2025
    Area covered
    United States
    Description

    Wages in the United States increased to 31.34 USD/Hour in July from 31.26 USD/Hour in June of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. Quarterly Census of Employment and Wages (QCEW)

    • data.ca.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    csv
    Updated Aug 11, 2025
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    California Employment Development Department (2025). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://data.ca.gov/dataset/quarterly-census-of-employment-and-wages
    Explore at:
    csv(122096044), csv(120584322), csv(123773669), csv(122409749), csv(69517066), csv(94268760)Available download formats
    Dataset updated
    Aug 11, 2025
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Description

    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.

  9. T

    WAGES by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). WAGES by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/wages
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    World
    Description

    This dataset provides values for WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  10. d

    Quarterly Census of Employment and Wages Quarterly Data: Beginning 2000

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +4more
    Updated Jun 7, 2025
    + more versions
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    data.ny.gov (2025). Quarterly Census of Employment and Wages Quarterly Data: Beginning 2000 [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-quarterly-data-beginning-2000
    Explore at:
    Dataset updated
    Jun 7, 2025
    Dataset provided by
    data.ny.gov
    Description

    The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI.

  11. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  12. e

    OECD Earnings and Wages database - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 7, 2024
    + more versions
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    (2024). OECD Earnings and Wages database - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/733dc9d9-8fe6-5809-a9fd-0593685b2355
    Explore at:
    Dataset updated
    Apr 7, 2024
    Description

    The OECD Earnings and Wages database is part of the Organisation for Economic Co-operation and Development (OECD) and offers comparable statistics on average wages, employee compensation by activity, the gender wage gap and wage levels. Data is for the most part available since 1970 for most OECD member countries.

  13. U.S. nonfinancial corporate sector real compensation quarterly change...

    • statista.com
    Updated Jul 14, 2025
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    Abigail Tierney (2025). U.S. nonfinancial corporate sector real compensation quarterly change 2020-2024 [Dataset]. https://www.statista.com/topics/789/wages-and-salary/
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    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Description

    The real hourly compensation in the nonfinancial corporate sector of the United States experienced an increase of 1.7 percent during the second quarter of 2024. The data are seasonally adjusted at annual rates. Labor compensation includes accrued wages and salaries, supplements, employer contributions to employee benefit plans, and taxes.

  14. F

    Average Hourly Earnings of All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/CES3000000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Manufacturing (CES3000000003) from Mar 2006 to Jul 2025 about earnings, hours, establishment survey, wages, employment, manufacturing, and USA.

  15. F

    Average Hourly Earnings of Production and Nonsupervisory Employees, Total...

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/AHETPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private (AHETPI) from Jan 1964 to Jul 2025 about nonsupervisory, headline figure, earnings, average, establishment survey, hours, wages, production, private, employment, and USA.

  16. T

    United States - Employed full time: Wage and salary workers: Database...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 16, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over [Dataset]. https://tradingeconomics.com/united-states/employed-full-time-wage-and-salary-workers-database-administrators-occupations-16-years-and-over-fed-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Aug 16, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over was 136.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over reached a record high of 144.00000 in January of 2022 and a record low of 40.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over - last updated from the United States Federal Reserve on August of 2025.

  17. Salary Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jan 8, 2025
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    Bright Data (2025). Salary Datasets [Dataset]. https://brightdata.com/products/datasets/salary
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jan 8, 2025
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Unlock valuable salary insights with our comprehensive Salary Dataset, designed for businesses, recruiters, and job seekers to analyze compensation trends, workforce planning, and market competitiveness.

    Dataset Features

    Job Listings & Salaries: Access structured salary data from top job platforms, including job titles, company names, locations, salary ranges, and compensation types. Employer & Industry Insights: Extract company-specific salary trends, industry benchmarks, and hiring patterns. Geographic Pay Disparities: Compare salaries across different regions, cities, and countries to identify location-based compensation trends. Job Market Trends: Monitor salary fluctuations, demand for specific roles, and hiring trends over time.

    Customizable Subsets for Specific Needs Our Salary Dataset is fully customizable, allowing you to filter data based on job titles, industries, locations, experience levels, and salary ranges. Whether you need broad market insights or focused data for recruitment strategy, we tailor the dataset to your needs.

    Popular Use Cases

    Workforce Planning & Talent Acquisition: Optimize hiring strategies by analyzing salary benchmarks and compensation trends. Market Research & Competitive Intelligence: Compare salaries across industries and competitors to stay ahead in talent acquisition. Career Decision-Making: Help job seekers evaluate salary expectations and identify high-paying opportunities. AI & Predictive Analytics: Use structured salary data to train AI models for job market forecasting and compensation analysis. Geographic Expansion & Business Strategy: Assess salary variations across regions to plan business expansions and remote workforce strategies.

    Whether you're optimizing recruitment, analyzing salary trends, or making data-driven career decisions, our Salary Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  18. Data from: Occupational Employment and Wage Statistics

    • data.ny.gov
    • datasets.ai
    • +3more
    application/rdfxml +5
    Updated Jul 2, 2025
    + more versions
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    New York State Department of Labor (2025). Occupational Employment and Wage Statistics [Dataset]. https://data.ny.gov/w/gkgz-nw24/caer-yrtv?cur=A9AAyAB1XPO
    Explore at:
    xml, json, csv, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    New York State Department of Labor
    Description

    The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OEWS estimates are constructed from a sample of about 41,400 establishments. Each year, forms are mailed to two semiannual panels of approximately 6,900 sampled establishments, one panel in May and the other in November.

  19. E

    Egypt Wages: Weekly Average

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Egypt Wages: Weekly Average [Dataset]. https://www.ceicdata.com/en/egypt/wages-and-salaries/wages-weekly-average
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Egypt
    Variables measured
    Wage/Earnings
    Description

    Egypt Wages: Weekly Average data was reported at 1,251.000 EGP in 2023. This records an increase from the previous number of 1,052.000 EGP for 2022. Egypt Wages: Weekly Average data is updated yearly, averaging 534.000 EGP from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 1,283.000 EGP in 2019 and a record low of 143.000 EGP in 1999. Egypt Wages: Weekly Average data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.G018: Wages and Salaries.

  20. s

    Physician Salary Database 2025

    • salarydr.com
    json
    Updated Jan 27, 2025
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    SalaryDr (2025). Physician Salary Database 2025 [Dataset]. https://www.salarydr.com/
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    jsonAvailable download formats
    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    SalaryDr
    License

    https://www.salarydr.com/termshttps://www.salarydr.com/terms

    Time period covered
    2023 - 2025
    Description

    Comprehensive physician salary data from verified doctor submissions across 75+ medical specialties

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Link copied
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Employment and Social Development Canada (2024). Wages [Dataset]. https://open.canada.ca/data/en/dataset/adad580f-76b0-4502-bd05-20c125de9116
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Wages

Explore at:
csvAvailable download formats
Dataset updated
Dec 12, 2024
Dataset provided by
Ministry of Employment and Social Development of Canadahttp://esdc-edsc.gc.ca/
License

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

Description

The wages on the Job Bank website are specific to an occupation and provide information on the earnings of workers at the regional level. Wages for most occupations are also provided at the national and provincial level. In Canada, all jobs are associated with one specific occupational grouping which is determined by the National Occupational Classification. For most occupations, a minimum, median and maximum wage estimates are displayed. They are update annually. If you have comments or questions regarding the wage information, please contact the Labour Market Information Division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

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