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

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. Disclaimer: For information regarding future updates or preliminary/final data releases, please refer to the Bureau of Labor Statistics Release Calendar: https://www.bls.gov/cew/release-calendar.htm

This table presents the key figures for the labor market in Mexico as of December 2018. As of this point in time, Mexico had an employment rate of 96.65 percent. The minimum wage in the country was estimated at 102.68 Mexican pesos a day. Peru's employment rate amounted to 94 percent.

View monthly updates and historical trends for US Labor Force Participation Rate. from United States. Source: Bureau of Labor Statistics. Track economic d…

The Quarterly Census of Employment and Wages (QCEW) program serves as a near census of employment and wage information. The program produces a comprehensive tabulation of employment and wage information for workers covered by Connecticut Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Data on the number of establishments, employment, and wages are reported by industry for Connecticut and for the counties, towns and Labor Market Areas (LMAs) and Workforce Investment Areas (WIAs).

Data and analysis of Washington's employment conditions, economy, job market and workforce. These reports can help make informed career, hiring and policy decisions.

The 'Employment Cost - Wages QoQ' in the USA measures the quarterly change in the cost of wages and salaries for workers, reflecting labor market conditions.-2024-07-31

How are wages set within a multinational firm? Combining cross-country data on wages and labor regulations with personnel records of a large multinational firm, I find that wage setting depends on the rank of the employee in the firm hierarchy. For managers, wages are set by the headquarters regardless of local labor market conditions. For factory workers, wages are adjusted according to country-specific wages and labor regulations. These results suggest that the multinational's internal labor market shields managers against changes in external market conditions, while the firm adapts to local labor markets for factory workers.

Wages in the United States increased 4.86 percent in August of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This paper examines how workforce composition, labor demand, and minimum wage jointly determine wages through their effects on worker-task assignments, firm wage premiums, and firm-worker sorting. Using an estimated model of monopsonistic local labor markets, it finds that minimum wage hikes and labor demand shocks drove the decline in Brazilian wage inequality from 1998 to 2012. While rising educational attainment compressed skill premiums within firms, it also reallocated skilled workers to high-wage firms, limiting that shock's effect on inequality. The analysis highlights interactions among exogenous factors, showing that concurrent supply and demand changes attenuated minimum wage impacts.

The "**Salary Data Worldwide**" dataset provides insights into wage statistics across different countries and continents. It includes information on median, average, lowest, and highest salaries, categorized by country and continent. This dataset can be valuable for analyzing salary disparities and trends worldwide.

Columns:

country_name - The name of the country. continent_name - The name of the continent where the country is located. wage_span - The frequency of salary data (e.g., Monthly). median_salary - The median salary in the country/region. average_salary - The average salary in the country/region. lowest_salary - The lowest reported salary in the country/region. highest_salary - The highest reported salary in the country/region. This dataset is a valuable resource for conducting global salary analyses, understanding salary distributions, and making cross-country salary comparisons. It can be used by data analysts, researchers, and policymakers interested in labor market trends and salary-related insights.

Usage: This dataset is suitable for exploratory data analysis (EDA), statistical analysis, and creating data visualizations to better understand salary data trends across countries and continents.

Acknowledgments: The data sources for this dataset may vary, and it's important to cite the original sources when using the dataset for analysis or research.

Introducing Job Posting Datasets: Uncover labor market insights!

Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

Choose your preferred dataset delivery options for convenience:

Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

Why Choose Oxylabs Job Posting Datasets:

1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

Peru's employment rate amounted to nearly 93 percent. The minimum wage in the country was estimated at 2,006.8 Peruvian soles per month.

In this project, rich administrative data on search and recruitment from a low-wage online job portal are used to study the labor market impacts of COVID-19 in India. The data from the job portal includes information on vacancies and job seekers across 2019 and 2020. It covers all users that either posted a vacancy or applied to a job on the portal across the two years. The following datasets are available: Aggregate data State level data Each dataset reports the following details: Vacancies: Number of vacancies; number of full-time vacancies; average minimum salary for full-time vacancies; number of full-time vacancies above minimum salary offer of Rs. 15,000; average minimum experience for full-time vacancies Job seekers: Number of job seekers; Number of job seekers by gender, age and education

The 'Employment Cost - Wages QoQ' in the USA measures the quarterly change in the cost of wages and salaries for workers, reflecting labor market conditions.-2025-01-31

The Bureau of Labor Statistics (BLS) calculates employment and wage estimates for every state, Metropolitan Statistical Area and Balance-of-State area in the United States. In order to better meet the needs of local users, the Occupational Employment and Wage Statistics (OEWS) staff in the Texas Labor Market Information Department of the Texas Workforce Commission (LMI) has produced wage estimates for geographic areas not produced by BLS. Workforce Development Areas (WDAs) are not published by BLS and are not, therefore, official BLS data series. Due to confidentiality and quality criteria, LMI cannot produce estimates for every occupation in every geographic area.

Black men without a college degree have seen especially strong gains in employment and wages during the pandemic recovery.

Deduplicated aggregated job data by area and occupation with salary data. Data is available for USA and territories by FIPS area codes, ONET occupation code, NAIC industry code, education group, and experience group, with USD salary information by month, quarter, and year time frames. Data includes aggregations for both active jobs in given time frame and those first posted in given time frame.

1B+ job posts 42k+ job sources 5M+ unique employers 4.8M new jobs per month 18 years of data

At iQuery, we provide unparalleled insight into the labor market through our proprietary aggregated jobs data. By combining historical data with real-time job postings, our platform captures employment trends as they unfold—offering powerful predictive capabilities for workforce analysis, planning, and development.

Our specialized team of developers processes and refines 7 to 10 million job listings daily, collected from a wide array of online sources including public and private job boards, government portals, healthcare systems, and various other employment websites. We ensure data freshness by validating and de-duplicating postings and conducting daily checks to confirm their active status—making our datasets among the most accurate and current in the industry.

Our dedicated Data Services Team enhances the dataset by assigning standardized taxonomy codes for occupation (ONET), employer industry (NAICS), location (FIPS), education level, and experience requirements. We also offer crosswalk capabilities between Classification of Instructional Programs (CIP) codes and federal taxonomies, enabling education providers to align curricula with real-time and projected workforce needs. Our proprietary taxonomy extends to skills, tools, and certifications, further enriching each job posting for granular labor market analysis.

With a comprehensive blend of real-time and historical data, our platform supports economic development by tracking workforce dynamics across occupations, industries, and skill sets. Our in-house economist and analysts generate reliable labor market forecasts—including unemployment trends—often outperforming traditional forecasting models.

Our data empowers a wide range of stakeholders:

Governments can assess local labor supply to attract employers and inform policy. Researchers can uncover trends and model future workforce shifts. Employers can locate optimal labor pools for hiring needs. Colleges and universities can tailor programs and credentials to match employer demand in specific regions. iQuery delivers a data-rich foundation for workforce planning, policy development, and educational alignment—driving smarter decisions in a dynamic labor market.

The programs replicate tables and figures from "Voluntary Minimum Wages: The Local Labor Market Effects of National Retailer Policies," by Derenoncourt and Weil. Please see the ReadMe file for additional details.

The programs replicate tables and figures from "Bargaining and Inequality in the Labor Market," by Caldwell, Haegele, and Heining. Please see the README file for additional details.