In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: 16 years and over (LEU0252881500A) from 1979 to 2024 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

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.

Wages in the United States increased to 31.24 USD/Hour in June from 31.15 USD/Hour in May of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 2024, senior executives in the IT market reported the highest total annual compensation, with a median of over 127,388 thousand U.S. dollars. Developer advocates, managers, and developer experience engineers earned well over 100 thousand U.S. dollars annually. Site reliability engineers and cloud infrastructure engineers had median earnings of one thousand and 97 thousand U.S. dollars, respectively. At the lower end of the spectrum, academic researchers, front-end developers, and students earned less than 50 thousand U.S. dollars in total annual compensation.

The Employer Costs for Employee Compensation (ECEC) is a measure of the cost of labor. The compensation series includes wages and salaries plus employer costs for individual employee benefits. Employee benefit costs are calculated as cents-per-hour-worked for individual benefits ranging from employer payments for Social Security to paid time off for holidays. The survey covers all occupations in the civilian economy, which includes the total private economy (excluding farms and households), and the public sector (excluding the Federal government). Statistics are published for the private and public sectors separately, and the data are combined in a measure for the civilian economy. For information and data, visit: https://www.bls.gov/ncs/ect/

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Computer programmers occupations: 16 years and over: Men (LEU0254637300A) from 2000 to 2024 about second quartile, computers, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

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.

The Occupational Employment Statistics (OES) 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. OES estimates are constructed from a sample of about 51,000 establishments. Each year, forms are mailed to two semiannual panels of approximately 8,500 sampled establishments, one panel in May and the other in November.

Luxembourg had the highest average annual wage in Europe in 2023, at approximately ****** U.S. dollars when adjusting for purchasing power parity (PPP). Greece, which had an average annual salary of less than ****** U.S dollars a year, had the lowest among the countries provided in this statistic.

China is the largest labor force market in the world. China’s economic prosperity wouldn’t exist without the large number of people working in this country. With increasing living standards and growing inflation, the wages of employees in China are increasing as well. As of 2022, average wages in China increased to ******* yuan from ****** yuan in 2012. Wage gap between regions The wages vary in China depending on sector, position, gender and region like in any other country. Since China’s different regions have developed unequally, the wage gaps between people working in different regions can also be very large. This is a reason for no single minimum wage being set for the entire nation. The local governments set minimum wages based on local living standards. Considering the city tier, the wage standards are higher in cities with higher rankings. ******** and ******* have the highest minimum wage standards in China. Although the minimum wages in China have been increasing, the standards are still lower than in developed countries. Challenges of increasing labor costs Increasing wages also make the labor force market less attractive. Affected by increasing labor costs and the China-United States trade war, many companies are transferring their investment destinations, especially in the manufacturing sector. Local governments are also taking measures to ensure the living costs remain at a reasonable level to retain companies and employees. These measures include regulating the residential housing market more strictly.

Explore the progression of average salaries for graduates in Statistical Science, Applied Statistics And Data Analytics 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 Statistical Science, Applied Statistics And Data Analytics relative to other fields. This data is essential for students assessing the return on investment of their education in Statistical Science, Applied Statistics And Data Analytics, providing a clear picture of financial prospects post-graduation.

Graph and download economic data for Employed full time: Wage and salary workers: Cashiers occupations: 16 years and over (LEU0254497200A) from 2000 to 2024 about cashiers, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

About this dataset

Context

The dataset tabulates the Missouri household income by age. The dataset can be utilized to understand the age-based income distribution of Missouri income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Missouri annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Missouri household incomes: Comparative analysis across 16 income brackets

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Missouri income distribution by age. You can refer the same here

As of February 2024, the average Indonesian employee could expect a net monthly salary of around ***** million Indonesian rupiah. The highest recorded average monthly net salary was in August 2023, reaching around *** million Indonesian rupiah.

City-Parish employees' annual salaries and other payroll related information. Information is calculated after the last payroll is run for the year specified. Some fields, such as job title and department, are accurate as of the time the data was captured for Open Data BR. For example, if an employee worked for three departments throughout the year, only the department they worked for at the time we collected the data will be shown. ***In November of 2018, the City-Parish switched to a new payroll system. This data contains employee information from 2018 onward. For prior year data, please see the Legacy City-Parish Employee Annual Salaries https://data.brla.gov/Government/Legacy-City-Parish-Employee-Annual-Salaries/g5c2-myyj

Latvia Wages and Salaries: Gross: Manufacturing (Mfg) data was reported at 1,737.000 EUR in Dec 2024. This records an increase from the previous number of 1,560.000 EUR for Nov 2024. Latvia Wages and Salaries: Gross: Manufacturing (Mfg) data is updated monthly, averaging 732.000 EUR from Jan 2005 (Median) to Dec 2024, with 240 observations. The data reached an all-time high of 1,737.000 EUR in Dec 2024 and a record low of 270.000 EUR in Feb 2005. Latvia Wages and Salaries: Gross: Manufacturing (Mfg) data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G018: Average Wages and Salaries: Statistical Classification of Economic Activities Revision 2.

The country with the highest minimum wage rate in Europe during the first half of 2025 was Luxembourg, with a minimum wage of 2638 euros. Ireland, the Netherlands, and Germany were the countries with the next highest minimum wages, all above 2000 euros a month, while Albania, Bulgaria, and Montenegro had the lowest minimum wages in the same period.

Explore the progression of average salaries for graduates in Statistics Advance Methods Data Analysis 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 Statistics Advance Methods Data Analysis relative to other fields. This data is essential for students assessing the return on investment of their education in Statistics Advance Methods Data Analysis, providing a clear picture of financial prospects post-graduation.

Average Wages and Salaries: Gross: CN: Specialised Construction Activities data was reported at 818.610 EUR in Mar 2018. This records an increase from the previous number of 788.610 EUR for Feb 2018. Average Wages and Salaries: Gross: CN: Specialised Construction Activities data is updated monthly, averaging 515.210 EUR from Jan 2005 (Median) to Mar 2018, with 159 observations. The data reached an all-time high of 818.610 EUR in Mar 2018 and a record low of 220.890 EUR in Feb 2005. Average Wages and Salaries: Gross: CN: Specialised Construction Activities data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G018: Average Wages and Salaries: Statistical Classification of Economic Activities Revision 2.