In the United States, the median earnings of female workers in 1990 amounted to 26,110 U.S. dollars. In 2023, the earnings of the average female worker had increased to approximately 42,110 U.S. dollars. These earnings are adjusted to 2023 CPI-U-RS dollars.

Average female and male earnings and female-to-male earnings ratio, Canada.

In 2023, the mean income of women with a doctorate degree in the United States stood at 139,100 U.S. dollars. For men with the same degree, mean earnings stood at 175,500 U.S. dollars. On average in 2023, American men earned 91,590 U.S. dollars, while American women earned 65,987 U.S. dollars.

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.

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 Normal. 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 Normal, the median income for all workers aged 15 years and older, regardless of work hours, was $41,421 for males and $25,263 for females.

These income figures highlight a substantial gender-based income gap in Normal. Women, regardless of work hours, earn 61 cents for each dollar earned by men. This significant gender pay gap, approximately 39%, underscores concerning gender-based income inequality in the town of Normal.

- Full-time workers, aged 15 years and older: In Normal, among full-time, year-round workers aged 15 years and older, males earned a median income of $70,419, while females earned $58,364, 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.

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 Normal.

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

In 2023, the median annual earnings of full-time male workers in the United States stood at 66,790 U.S. dollars after being adjusted for inflation, which was significantly higher than the median earnings of full-time women at 52,850. For further reading, see the female to male earnings ratio.

According to an annual survey about Chinese women's workplace, the average monthly income of the female respondents in 2025 amounted to ***** yuan, about ** percent lower than the monthly salary of the male respondents. In the previous year, the average monthly income of female respondents was 8,958 yuan.

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.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Normal. The dataset can be utilized to gain insights into gender-based income distribution within the Normal population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Normal, among individuals aged 15 years and older with income, there were 17,652 men and 20,441 women in the workforce. Among them, 8,361 men were engaged in full-time, year-round employment, while 7,140 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 9.81% fell within the income range of under $24,999, while 8.80% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 27.02% of men in full-time roles earned incomes exceeding $100,000, while 17.46% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

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.

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

covers 2004 to 2017 annual data source: Australian Bureau of Statistics cat no. 6333.0 tbls 3 and 4.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

Iceland Average Income: Capital: Female data was reported at 580.000 ISK th in 2017. This records an increase from the previous number of 470.000 ISK th for 2016. Iceland Average Income: Capital: Female data is updated yearly, averaging 276.500 ISK th from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,109.000 ISK th in 2007 and a record low of 33.000 ISK th in 1994. Iceland Average Income: Capital: 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.

In the United States, women holding a bachelor's degree earned, on average, 1,352 U.S. dollars per week in the second quarter of 2024. This can be compared with male bachelor's degree holders who on average earn 1,757 U.S dollars.

In all countries in Europe, there was a significant gender pay gap when looking at average monthly earnings in 2022. This pay gap varied between countries, however, with the differences between the two countries with the highest average earnings being illustrative of this. While in ********** men earned on average ***** U.S. Dollars a month and women earned ***** U.S. Dollars (a gap of roughly ***** Euros), in *********** men earned ***** U.S. Dollars - a whole ***** U.S. dollars more than the average earnings for women, at ***** dollars.

Iceland Average Income: Tax: Female data was reported at 1,214.000 ISK th in 2017. This records an increase from the previous number of 1,089.000 ISK th for 2016. Iceland Average Income: Tax: Female data is updated yearly, averaging 420.000 ISK th from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,214.000 ISK th in 2017 and a record low of 86.000 ISK th in 1990. Iceland Average Income: Tax: 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.

Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: Women (LES1252882800Q) from Q1 1979 to Q1 2025 about females, full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

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

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 Fremont. 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 Fremont, the median income for all workers aged 15 years and older, regardless of work hours, was $99,996 for males and $55,990 for females.

These income figures highlight a substantial gender-based income gap in Fremont. Women, regardless of work hours, earn 56 cents for each dollar earned by men. This significant gender pay gap, approximately 44%, underscores concerning gender-based income inequality in the city of Fremont.

- Full-time workers, aged 15 years and older: In Fremont, among full-time, year-round workers aged 15 years and older, males earned a median income of $136,764, while females earned $101,991, leading to a 25% gender pay gap among full-time workers. This illustrates that women earn 75 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 Fremont.

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

Poverty, usually measured using income, and poor health are closely related. Income is one of the non-medical determinants of health. The poor experience the highest rates of illness and premature death. The income measures are for the year 1995 as reported in the 1996 Census. In that year, average total income for females was $19 208. However, significant regional variations in average income are apparent. Higher incomes predominate in Ontario, Alberta, and British Columbia. Most census divisions in Atlantic Canada fall within the lower income levels. The distribution of average total income for males and females are similar. The income-health relationship is not well known, but general linkages have been identified. Notably, health improves at every step up the income ladder.