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

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by age group.

An explanation of the national average wage indexing series to index the earnings of individuals for benefit computation purposes.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: High School graduates, no college: 25 years and over (LEU0252917300A) from 1979 to 2024 about no college, second quartile, secondary schooling, secondary, 25 years +, full-time, salaries, workers, earnings, education, wages, median, employment, and USA.

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.

The purpose of this matching program is to provide the Department of Veterans Affairs (VA), both the Veterans Benefit Administration (VBA) and Veterans Health Administration (VHA), with data from income tax return information disclosed to SSA to verify eligibility for VA health benefit programs. The SSA data is used to verify earnings information. VHA will also use SSA's records of wage and self-employment income to verify the veterans' employment status. Health insurance information (obtained from veteran, spouse and/or employer during employment verification) and/or income data (verification of which changes eligibility for medical care) may be forwarded to VHA medical center facilities for eligibility category changes and potential billing activities. VA also submits a weekly file through this exchange to support the VA/SSA/IRS White House Data Sharing initiative to reduce the VA backlog.

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.

Employment income is generally income (salary, wages, compensation, taxes, bonuses, compensation for job inventions, etc.) received in return for providing labor, which is a non-independent personal service, through an employment relationship or a similar contract, and is distinguished from business income, other income, and retirement income. (Employment income) Payment received for providing labor through an employment relationship or a similar contract → Withholding tax according to the simplified tax table (Business income) Payment received for continuously providing services in an independent capacity without an employment relationship → Withholding tax of 3% of the income amount (Other income) Payment received for temporarily providing services → Withholding tax of 20% of the other income amount (income amount - necessary expenses) (Retirement income) Income paid due to actual retirement based on employer contributions, etc. → Withholding tax upon retirement Employment income percentile (top 1%, 1,000th percentile) data - Number of people - Total salary amount (100 million won) - Employment income amount (100 million won) - Income deduction amount (100 million won) (Employment income deduction + Personal deduction + Pension insurance premium deduction + Special income deduction + Other income deduction - Amount exceeding income deduction limit) - Taxable standard (100 million won) - Determined tax amount (100 million won) This is the value of the total employment income for each quintile, and is expressed in 0.1% units only within the top 1%.

In 2023, the median usual weekly earnings of a Hispanic full-time employee in the United States amounted to 874 U.S. dollars. Dollar value is based on 2023 U.S. dollars. In 1979, this figure stood at 764 constant 2023 U.S. dollars. The median weekly earnings of Hispanic workers not adjusted for inflation can be accessed here.

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.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Norway. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Norway, the median income for all workers aged 15 years and older, regardless of work hours, was $49,167 for males and $38,750 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Norway. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Norway.

- Full-time workers, aged 15 years and older: In Norway, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,333, while females earned $38,750, leading to a 39% gender pay gap among full-time workers. This illustrates that women earn 61 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

Remarkably, across all roles, including non-full-time employment, women displayed a lower gender pay gap percentage. This indicates that Norway offers better opportunities for women in non-full-time positions.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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/.

Recommended for further research

This dataset is a part of the main dataset for Norway median household income by race. You can refer the same here

Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.

United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men was 415.00000 1982-84 CPI Adjusted $ in April of 2025, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men reached a record high of 427.00000 in July of 2020 and a record low of 348.00000 in July of 1994. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Men - last updated from the United States Federal Reserve on September of 2025.

Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by four-digit Standard Occupational Classification.

The Annual Survey of Hours and Earnings (ASHE) is one of the largest surveys of the earnings of individuals in the UK. Data on the wages, paid hours of work, and pensions arrangements of nearly one per cent of the working population are collected. Other variables relating to age, occupation and industrial classification are also available. The ASHE sample is drawn from National Insurance records for working individuals, and the survey forms are sent to their respective employers to complete.

While limited in terms of personal characteristics compared to surveys such as the Labour Force Survey, the ASHE is useful not only because of its larger sample size, but also the responses regarding wages and hours are considered to be more accurate, since the responses are provided by employers rather than from employees themselves. A further advantage of the ASHE is that data for the same individuals are collected year after year. It is therefore possible to construct a panel dataset of responses for each individual running back as far as 1997, and to track how occupations, earnings and working hours change for individuals over time. Furthermore, using the unique business identifiers, it is possible to combine ASHE data with data from other business surveys, such as the Annual Business Survey (UK Data Archive SN 7451).

The ASHE replaced the New Earnings Survey (NES, SN 6704) in 2004. NES was developed in the 1970s in response to the policy needs of the time. The survey had changed very little in its thirty-year history. ASHE datasets for the years 1997-2003 were derived using ASHE methodologies applied to NES data.

The ASHE improves on the NES in the following ways:

• the NES questionnaire allowed too much variation in employer responses, leading to wide variations in the data
• weightings have been introduced to take account of the population size (significant biases were a known problem in NES data)
• the significant numbers of employees who change jobs between the sample selection and survey reference dates are retained in the ASHE sample, whereas these were dropped from the NES

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Observations from Northern Ireland
The ASHE data held by the UK Data Archive include very few observations from Northern Ireland. Users requiring access to Northern Ireland data are advised to contact the Northern Ireland Statistics and Research Agency, who administer this aspect of the survey.

Local unit reference variable, luref
The local unit reference variable 'luref', is generated to indicate multiple occurrences of the same local unit for disclosure checking purposes. It is inconsistent across years and is not an IDBR reference number. It should not be used to link ASHE with other business datasets.

For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.

Latest Edition Information
For the twenty-sixth edition (February 2025), the data file 'ashegb_2023r_2024p_pc' has been added, along with the accompanying data dictionary.

Key information about Russia Monthly Earnings

• Russia Monthly Earnings stood at 1,256 USD in Dec 2024, compared with the previous figure of 861 USD in Nov 2024
• Russia Monthly Earnings data is updated monthly, available from Jun 1992 to Dec 2024, with an average number of 542 USD
• The data reached the an all-time high of 1,354 USD in Dec 2022 and a record low of 25 USD in Nov 1992

CEIC converts Monthly Earnings into USD. Federal State Statistics Service provides Average Nominal Wages in local currency. The Bank of Russia average market exchange rate is used for currency conversions.


Further information about Russia Monthly Earnings

• In the latest reports, Russia Population reached 146 million people in Dec 2024
• Unemployment Rate of Russia remained the same at 2 % in Jul 2024
• The country's Labour Force Participation Rate increased to 68 % in Feb 2024

In 2022, the median annual tech wage corresponding to the **** percentile in the United States was reported as ******* U.S. dollars. The **** percentile for tech wages in the U.S. was ******* U.S. dollars for that same year.

Key information about Belgium Monthly Earnings

• Belgium Monthly Earnings stood at 4,645 USD in Sep 2021, compared with the previous figure of 4,289 USD in Sep 2020
• Belgium Monthly Earnings data is updated yearly, available from Sep 1999 to Sep 2021, with an average number of 3,946 USD
• The data reached the an all-time high of 4,645 USD in Sep 2021 and a record low of 2,132 USD in Sep 2001

CEIC converts Monthly Earnings into USD. Directorate-General Statistics - Statistics Belgium provides Average Monthly Earnings of full-time employees in EUR. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings include Wages paid for overtime, Bonuses for shift work, Nights or weekends, and exclude Premiums or Unscheduled and Holiday pay. Monthly Earnings are in annual frequency, ending in September of each year.


Further information about Belgium Monthly Earnings

• In the latest reports, Belgium Population reached 12 million people in Dec 2023
• Unemployment Rate of Belgium increased to 6 % in May 2024
• The country's Labour Force Participation Rate increased to 71 % in Dec 2023

In 2023 the mean earnings of Bachelor's degree holders in the United States amounted to 86,970 U.S. dollars. People with higher education degrees tended to earn more than those without. For example, high school graduates, including those with a GED, had mean earnings of 46,720 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 (LEU0252881500Q) from Q1 1979 to Q2 2025 about second quartile, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.