The National Compensation Survey (NCS) provides comprehensive measures of occupational wages; employment cost trends, and benefit incidence and detailed plan provisions. Detailed occupational earnings are available for metropolitan and non-metropolitan areas, broad geographic regions, and on a national basis. The index component of the NCS (ECI) measures changes in labor costs. Average hourly employer cost for employee compensation is presented in the ECEC.

The National Compensation Survey (NCS) program produces information on wages by occupation for many metropolitan areas.The Modeled Wage Estimates (MWE) provide annual estimates of average hourly wages for occupations by selected job characteristics and within geographical _location. The job characteristics include bargaining status (union and nonunion), part- and full-time work status, incentive- and time-based pay, and work levels by occupation. The modeled wage estimates are produced using a statistical procedure that combines survey data collected by the National Compensation Survey (NCS) and the Occupational Employment Statistics (OES) programs. Borrowing from the strengths of the NCS, information on job characteristics and work levels, and from the OES, the occupational and geographic detail, the modeled wage estimates provide more detail on occupational average hourly wages than either program is able to provide separately. Wage rates for different work levels within occupation groups also are published. Data are available for private industry, State and local governments, full-time workers, part-time workers, and other workforce characteristics.

The National Compensation Survey (NCS) is an annual survey of the incidence and provisions of selected benefits provided by employers. The survey collects data from a sample of approximately 18,000 private sector and State and local government establishments. The data are presented as a percentage of employees with access to employee benefit programs and for some benefits, percentage of employees who participate in them.

Nepal National Salary & Wage Rate Index: Wage Index data was reported at 511.500 2004-2005=100 in Oct 2018. This records an increase from the previous number of 505.000 2004-2005=100 for Sep 2018. Nepal National Salary & Wage Rate Index: Wage Index data is updated monthly, averaging 282.500 2004-2005=100 from Aug 2005 (Median) to Oct 2018, with 159 observations. The data reached an all-time high of 511.500 2004-2005=100 in Oct 2018 and a record low of 102.500 2004-2005=100 in Aug 2005. Nepal National Salary & Wage Rate Index: Wage Index data remains active status in CEIC and is reported by Nepal Rastra Bank. The data is categorized under Global Database’s Nepal – Table NP.G018: Salary & Wage Rate Index.

The statistic gives the results of the annual salary survey among logistics and supply chain professionals, asking respondents about their annual salaries including bonuses and other compensations from 2013 to 2021. In 2021, the average salary in the logistics and supply chain management industries amounted to ******* U.S. dollars, down from around ******* dollars in the previous year. In 2021, the median salary came to ******* U.S. dollars, according to the survey.

Explore the progression of average salaries for graduates in Survey Research from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Survey Research relative to other fields. This data is essential for students assessing the return on investment of their education in Survey Research, providing a clear picture of financial prospects post-graduation.

This bienneial survey provides information on wages and salaries for full- and part-time employees by occupation, region, and industry. The survey helps Albertans make career and education choices and helps organizations determine pay scales.

This Dataset indicates average salary by position title and grade for full-time regular employees. Data excludes elected, appointed, non-merit and temporary employees. Underfilled positions are also excluded from the dataset. Update Frequency : Annually

ECI: sa: Compensation: SP: Retail Trade data was reported at 170.000 Jun1989=100 in Dec 2005. This records an increase from the previous number of 168.400 Jun1989=100 for Sep 2005. ECI: sa: Compensation: SP: Retail Trade data is updated quarterly, averaging 114.200 Jun1989=100 from Mar 1980 (Median) to Dec 2005, with 104 observations. The data reached an all-time high of 170.000 Jun1989=100 in Dec 2005 and a record low of 64.600 Jun1989=100 in Mar 1980. ECI: sa: Compensation: SP: Retail Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G074: National Compensation Survey: Employment Cost Index: Jun 1989=100.

ECI: sa: Wages: PW: Service: Others excl Public Admin data was reported at 133.300 Dec2005=100 in Mar 2018. This records an increase from the previous number of 132.000 Dec2005=100 for Dec 2017. ECI: sa: Wages: PW: Service: Others excl Public Admin data is updated quarterly, averaging 113.200 Dec2005=100 from Mar 2003 (Median) to Mar 2018, with 61 observations. The data reached an all-time high of 133.300 Dec2005=100 in Mar 2018 and a record low of 91.900 Dec2005=100 in Mar 2003. ECI: sa: Wages: PW: Service: Others excl Public Admin data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G072: National Compensation Survey: Employment Cost Index: Dec 2005=100.

The National Compensation Survey (NCS) program produces information on wages by occupation for many metropolitan areas and also for the Nation as a whole. Wage rates for different work levels within occupation groups also are published. Data are available for private industry, State and local governments, full-time workers, part-time workers, and other workforce characteristics.

The statistic shows the results of the annual salary survey among logistics and supply chain professionals, asking respondents about their annual salaries including bonuses and other compensations in 2018 and 2019, broken down by region. In 2019, the average salary for an employee in the Southeast region of the U.S. amounted to about 112,590 U.S. dollars.

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jul 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

Statistics on average annual salaries of graduates of full-time UGC-funded programmes who were in Full-time Employment

Context:

The Occupational Employment Statistics (OES) and National Compensation Survey (NCS) programs have produced estimates by borrowing from the strength and breadth of each survey to provide more details on occupational wages than either program provides individually. Modeled wage estimates provide annual estimates of average hourly wages for occupations by selected job characteristics and within geographical location. The job characteristics include bargaining status (union and nonunion), part- and full-time work status, incentive- and time-based pay, and work levels by occupation.

Direct estimates are based on survey responses only from the particular geographic area to which the estimate refers. In contrast, modeled wage estimates use survey responses from larger areas to fill in information for smaller areas where the sample size is not sufficient to produce direct estimates. Modeled wage estimates require the assumption that the patterns to responses in the larger area hold in the smaller area.

The sample size for the NCS is not large enough to produce direct estimates by area, occupation, and job characteristic for all of the areas for which the OES publishes estimates by area and occupation. The NCS sample consists of 6 private industry panels with approximately 3,300 establishments sampled per panel, and 1,600 sampled state and local government units. The OES full six-panel sample consists of nearly 1.2 million establishments.

The sample establishments are classified in industry categories based on the North American Industry Classification System (NAICS). Within an establishment, specific job categories are selected to represent broader occupational definitions. Jobs are classified according to the Standard Occupational Classification (SOC) system.

Content:

Summary: Average hourly wage estimates for civilian workers in occupations by job characteristic and work levels. These data are available at the national, state, metropolitan, and nonmetropolitan area levels.

Frequency of Observations: Data are available on an annual basis, typically in May.

Data Characteristics: All hourly wages are published to the nearest cent.

Acknowledgements:

This dataset was taken directly from the Bureau of Labor Statistics and converted to CSV format.

Inspiration:

This dataset contains the estimated wages of civilian workers in the United States. Wage changes in certain industries may be indicators for growth or decline. Which industries have had the greatest increases in wages? Combine this dataset with the Bureau of Labor Statistics Consumer Price Index dataset and find out what kinds of jobs you would need to afford your snacks and instant coffee!

Comparison of the average salary of State of Oklahoma employees and the market average salary beginning in fiscal year 2005.

National Compensation Survey - Benefits produces comprehensive data on the incidence (the percentage of workers with access to and participation in employer provided benefit plans) and provisions of selected employee benefit plans. The Employee Benefits Survey (EBS) is an annual survey of the incidence and provisions of selected benefits provided by employers. The data are presented as a percentage of employees who participate in a certain benefit, or as an average benefit provision (for example, the average number of paid holidays provided to employees per year). The survey covers paid leave benefits such as holidays and vacations, and person, funeral, jury duty, military, parental, and sick leave; sickness and accident, long-term disability, and life insurance; medical, dental, and vision care plans; defined benefit pension and defined contribution plans; flexible benefits plans; reimbursement accounts; and unpaid parental leave. Also, data are tabulated on the incidence of several other benefits, such as severance pay, child-care assistance, wellness programs, and employee assistance programs.

For more information and data visit: https://www.bls.gov/ebs/

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

United States ECI: Wages: PW: Service: Financial Activities data was reported at 133.000 Dec2005=100 in Mar 2018. This records an increase from the previous number of 130.900 Dec2005=100 for Dec 2017. United States ECI: Wages: PW: Service: Financial Activities data is updated quarterly, averaging 108.500 Dec2005=100 from Mar 2001 (Median) to Mar 2018, with 69 observations. The data reached an all-time high of 133.000 Dec2005=100 in Mar 2018 and a record low of 84.600 Dec2005=100 in Mar 2001. United States ECI: Wages: PW: Service: Financial Activities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G072: National Compensation Survey: Employment Cost Index: Dec 2005=100.

United States ECI: sa: Wages: PW: Goods: Manufacturing data was reported at 130.400 Dec2005=100 in Mar 2018. This records an increase from the previous number of 129.500 Dec2005=100 for Dec 2017. United States ECI: sa: Wages: PW: Goods: Manufacturing data is updated quarterly, averaging 108.600 Dec2005=100 from Mar 2001 (Median) to Mar 2018, with 69 observations. The data reached an all-time high of 130.400 Dec2005=100 in Mar 2018 and a record low of 88.200 Dec2005=100 in Mar 2001. United States ECI: sa: Wages: PW: Goods: Manufacturing data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G072: National Compensation Survey: Employment Cost Index: Dec 2005=100.