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.

The average salary in Ireland was 55,591 euros per year in 2024, compared with 53,955 in 2023.

As of 2023, Rwanda had the lowest average monthly salary of employees in the world in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Gambia had the second lowest average wages, with Ethiopia in third. Of the 20 countries with the lowest average salaries in the world, 17 were located in Africa. On the other hand, Luxembourg had the highest average monthly salaries of employees.

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

Wages in Russia increased to 99422 RUB/Month in May from 97375 RUB/Month in April of 2025. This dataset provides the latest reported value for - Russia Average Monthly Wages - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

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

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

Indonesia Monthly Average Wage: Agriculture, Forestry and Fishing data was reported at 1,409,656.000 IDR in 2018. This records an increase from the previous number of 1,288,847.000 IDR for 2017. Indonesia Monthly Average Wage: Agriculture, Forestry and Fishing data is updated yearly, averaging 1,265,099.000 IDR from Aug 2015 (Median) to 2018, with 4 observations. The data reached an all-time high of 1,409,656.000 IDR in 2018 and a record low of 1,018,148.000 IDR in 2015. Indonesia Monthly Average Wage: Agriculture, Forestry and Fishing data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.GBB002: Monthly Average Wage: by Industry.

Wages in Japan increased to 619893 JPY/Month in June from 337884 JPY/Month in May of 2025. This dataset provides - Japan Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Average Wage: On Duty: Henan: Zhengzhou data was reported at 105,620.000 RMB in 2023. This records an increase from the previous number of 97,244.000 RMB for 2022. Average Wage: On Duty: Henan: Zhengzhou data is updated yearly, averaging 31,307.265 RMB from Dec 1996 (Median) to 2023, with 28 observations. The data reached an all-time high of 105,620.000 RMB in 2023 and a record low of 6,093.000 RMB in 1996. Average Wage: On Duty: Henan: Zhengzhou data remains active status in CEIC and is reported by Zhengzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GG: Average Wage: On Duty: Prefecture Level City.

Belgium Average Monthly Salary: Age: 30 to 34 data was reported at 3,467.000 EUR in 2021. This records an increase from the previous number of 3,422.000 EUR for 2020. Belgium Average Monthly Salary: Age: 30 to 34 data is updated yearly, averaging 2,843.000 EUR from Sep 1999 (Median) to 2021, with 23 observations. The data reached an all-time high of 3,467.000 EUR in 2021 and a record low of 2,111.000 EUR in 1999. Belgium Average Monthly Salary: Age: 30 to 34 data remains active status in CEIC and is reported by Directorate-General Statistics - Statistics Belgium. The data is categorized under Global Database’s Belgium – Table BE.G036: Average Monthly Salary.

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 Westport. 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 Westport, the median income for all workers aged 15 years and older, regardless of work hours, was $52,917 for males and $42,813 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 19% between the median incomes of males and females in Westport. With women, regardless of work hours, earning 81 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetown of Westport.

- Full-time workers, aged 15 years and older: In Westport, among full-time, year-round workers aged 15 years and older, males earned a median income of $59,688, while females earned $49,792, leading to a 17% gender pay gap among full-time workers. This illustrates that women earn 83 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Westport, showcasing a consistent income pattern irrespective of employment status.

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 Westport median household income by race. You can refer the same here

The statistic depicts the average annual first-team player salary of Saint-Etienne in the Ligue 1 in France from season 2014/15 to 2019/20. In 2019/20, the average annual pay of first-team players in the Saint-Etienne football club in the Ligue 1 was approximately **** million British pounds.

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

Graph and download economic data for Median Household Income in Oklahoma (MEHOINUSOKA646N) from 1984 to 2023 about OK, households, median, income, and USA.

Graph and download economic data for Estimated Mean Real Household Wages Adjusted by Cost of Living for Washtenaw County, MI (MWACL26161) from 2009 to 2023 about Washtenaw County, MI; Ann Arbor; adjusted; MI; average; wages; real; and USA.

This statistic depicts the average annual income from billable hours of attorneys in the United States from 2017 to 2019, broken down by gender. During the 2019 survey, male attorneys reported average annual earnings of 217,000 U.S. dollars per year.

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 Franklin city. 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 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Franklin city, the median income for all workers aged 15 years and older, regardless of work hours, was $42,736 for males and $25,221 for females.

These income figures highlight a substantial gender-based income gap in Franklin city. Women, regardless of work hours, earn 59 cents for each dollar earned by men. This significant gender pay gap, approximately 41%, underscores concerning gender-based income inequality in the county of Franklin city.

- Full-time workers, aged 15 years and older: In Franklin city, among full-time, year-round workers aged 15 years and older, males earned a median income of $57,272, while females earned $41,703, leading to a 27% gender pay gap among full-time workers. This illustrates that women earn 73 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Franklin city.

https://i.neilsberg.com/ch/franklin-city-va-income-by-gender.jpeg" alt="Franklin city, VA gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
• 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 Franklin city median household income by gender. You can refer the same here

In 2022, the average salary for a male employed full time was 31,785 euros whereas a female employed full time earned approximately 29,931 euros. The salary gap has shrunk since 2012, when full-time male employees earned over 15 percent more than their female colleagues. However, the gender breach is wider for permanent positions.The gender pay gap Such inequalities in salary are reflected in the index for gender gap in economic participation and opportunities. In the sub-index equal pay for the same job, Spain scored 0.69 points. The degree of discrimination also varies from one industry to the next. In the sectors of health and social services, and professional, scientific and technical activities, male employees earned over 20 percent more per hour than their female counterparts. Some of the disparities in pay can be attributed to the inability of women to work and receive compensation for overtime shifts, night shifts, holiday shifts, seniority, and hazard bonus.Progress in a changing societyEconomically and culturally, society is becoming increasingly fair for younger generations. Even though gender pay gaps have not been eliminated, the pay gap for workers aged 34 years and under is remarkably lower than the gap for workers over the age of 44 and substantially far from those above the age of 64. Similarly, the young adult population in Spain seems more aware than older generations about sexual discrimination against women. Despite such progress, Spaniards remain skeptical about the possibility of overcoming this issue. In 2021, over half the population deemed the possibility of equal pay for men and women unlikely. Moreover, SARS-CoV-2 slowed progress in the medium term. The female workforce was particularly vulnerable to the pandemic’s economic and social ramifications, such as heightened job insecurity and the need for unpaid care work.