The average Dutch employee reached their highest annual salary between the age of 50 and 54 years old, at just over 50,000 thousand euros. Up to that point, the average annual salary generally increased, from about 1,500 euros per year for those under 15, to 51,900 for those 45-49 years old. After that age, average annual salaries decreased again, to about 17,300 euros for those 75 years and older. The average annual salary in the Netherlands in 2022 was just under 39,900 thousand euros, including bonuses.

 Highest salaries in the mining and quarrying industry  

Those looking to make a substantial amount of money were best off in the mining and quarrying industry, where average annual wages reached nearly 83.5 thousand euros in 2021. Employees in the electricity and gas supply sector earned roughly 62.7 thousand euros, and those working in finance made nearly as much, at 62,200 euros. On the lower end of the scale, employees in the accommodation and food serving industry earned an average annual salary of only 15.1 thousand euros.

Gender differences  

 In general, annual salaries for men were considerably higher than salaries for women. Whereas men earned an average annual salary of over 46.3 thousand in 2021, women in the Netherlands on average made about 29.7thousand euros annually. This was not just the result of men having a higher average hourly salary, to some extent this was also a consequence of women working fewer hours than men. Whereas men in the Netherlands on average worked 33.5 hours per week in 2021, women worked only 25.3 hours.

In 2023 in the United States, the median hourly rate of a worker's wage between 20 and 24 years old was 16.4 current U.S. dollars. Workers between the ages of 35 and 44 years old had the highest hourly wage in that year, at 21.2 current U.S. dollars.

Belgium Average Monthly Salary: Age: 25 to 29 data was reported at 3,049.000 EUR in 2021. This records an increase from the previous number of 3,007.000 EUR for 2020. Belgium Average Monthly Salary: Age: 25 to 29 data is updated yearly, averaging 2,491.000 EUR from Sep 1999 (Median) to 2021, with 23 observations. The data reached an all-time high of 3,049.000 EUR in 2021 and a record low of 1,880.000 EUR in 1999. Belgium Average Monthly Salary: Age: 25 to 29 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.

In 2023, the real median household income for householders aged 15 to 24 was at 54,930 U.S. dollars. The highest median household income was found amongst those aged between 45 and 54. Household median income for the United States since 1990 can be accessed here.

Average and median gender pay ratio in annual employment income and in annual wages, salaries and commissions. Data are available by National Occupational Classification (NOC) and age group.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

Explore the progression of average salaries for graduates in Master'S In Computer Applications 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 Master'S In Computer Applications relative to other fields. This data is essential for students assessing the return on investment of their education in Master'S In Computer Applications, providing a clear picture of financial prospects post-graduation.

Average Wage: On Duty: Guangxi: Nanning data was reported at 107,580.700 RMB in 2022. This records an increase from the previous number of 103,013.000 RMB for 2021. Average Wage: On Duty: Guangxi: Nanning data is updated yearly, averaging 32,596.130 RMB from Dec 1996 (Median) to 2022, with 27 observations. The data reached an all-time high of 107,580.700 RMB in 2022 and a record low of 6,022.000 RMB in 1996. Average Wage: On Duty: Guangxi: Nanning data remains active status in CEIC and is reported by Nanning 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.

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

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

In 2024 men aged between 50 and 59 were the highest full-time earners in the United Kingdom among different gender and age groups, with men of different ages consistently earning more than women.

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 Burdett. 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 Burdett, the median income for all workers aged 15 years and older, regardless of work hours, was $51,250 for males and $40,625 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 Burdett. 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 Burdett.

- Full-time workers, aged 15 years and older: In Burdett, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,284, while females earned $43,719, 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.

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

Wages in Australia increased to 1510.90 AUD/Week in the fourth quarter of 2024 from 1480.90 AUD/Week in the second quarter of 2024. This dataset provides - Australia Average Weekly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Explore the progression of average salaries for graduates in Computer Science (Also Possesses Bachelor'S Degree In Computer Engg ) 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 Computer Science (Also Possesses Bachelor'S Degree In Computer Engg ) relative to other fields. This data is essential for students assessing the return on investment of their education in Computer Science (Also Possesses Bachelor'S Degree In Computer Engg ), providing a clear picture of financial prospects post-graduation.

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 Quincy. 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 Quincy, the median income for all workers aged 15 years and older, regardless of work hours, was $43,031 for males and $31,343 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Quincy. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Quincy.

- Full-time workers, aged 15 years and older: In Quincy, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,796, while females earned $42,190, leading to a 22% gender pay gap among full-time workers. This illustrates that women earn 78 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 Quincy, 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 Quincy median household income by race. You can refer the same here

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 Oneida. 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 Oneida, the median income for all workers aged 15 years and older, regardless of work hours, was $50,521 for males and $36,818 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Oneida. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Oneida.

- Full-time workers, aged 15 years and older: In Oneida, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,000, while females earned $44,583, 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.

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

Average weekly earnings, average hourly wage rate and average usual weekly hours by union status and type of work, last 5 years.

Average Wage: On Duty: Anhui: Hefei data was reported at 117,760.000 RMB in 2022. This records an increase from the previous number of 111,672.000 RMB for 2021. Average Wage: On Duty: Anhui: Hefei data is updated yearly, averaging 34,143.620 RMB from Dec 1996 (Median) to 2022, with 27 observations. The data reached an all-time high of 117,760.000 RMB in 2022 and a record low of 5,851.000 RMB in 1996. Average Wage: On Duty: Anhui: Hefei data remains active status in CEIC and is reported by Hefei 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.

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 Skokie. 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 Skokie, the median income for all workers aged 15 years and older, regardless of work hours, was $50,701 for males and $36,927 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Skokie. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thevillage of Skokie.

- Full-time workers, aged 15 years and older: In Skokie, among full-time, year-round workers aged 15 years and older, males earned a median income of $75,763, while females earned $66,208, resulting in a 13% gender pay gap among full-time workers. This illustrates that women earn 87 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the village of Skokie.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Skokie.

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

Iceland Average Income: Work: Female data was reported at 3,426.000 ISK th in 2016. This records an increase from the previous number of 3,099.000 ISK th for 2015. Iceland Average Income: Work: Female data is updated yearly, averaging 1,436.000 ISK th from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 3,426.000 ISK th in 2016 and a record low of 567.000 ISK th in 1990. Iceland Average Income: Work: Female data remains active status in CEIC and is reported by Statistics Iceland . The data is categorized under Global Database’s Iceland – Table IS.G028: Average Income: by Age and Sex.