The difference between the earnings of women and men shrank slightly over the past years. Considering the controlled gender pay gap, which measures the median salary for men and women with the same job and qualifications, women earned one U.S. cent less. By comparison, the uncontrolled gender pay gap measures the median salary for all men and all women across all sectors and industries and regardless of location and qualification. In 2025, the uncontrolled gender pay gap in the world stood at 0.83, meaning that women earned 0.83 dollars for every dollar earned by men.

In 2025, the gender pay gap in Germany was around 16 percent. This meant that wages for men were on average 16 percent higher than for women. Figures have gradually decreased since 2009.

Payscale's 2026 Gender Pay Gap Report reveals that women earn $0.82 for every $1 earned by men (uncontrolled) and $0.99 when controlling for job title and compensable factors. Based on 130,000+ U.S. salary survey responses, it analyzes the gender pay gap by race, age, education, parental status, remote work status, industry, occupation, U.S. state, and career level — including lifetime earnings projections and pay transparency law analysis.

4 industries closed the controlled pay gap in 2026: Engineering, Science & Technology, Real Estate, and Arts/Entertainment. Finance & Insurance has the widest uncontrolled gap at $0.79. Accommodation & Food Services is nearest parity uncontrolled at $0.97.

Annual gender pay gap estimates for UK employees by age, occupation, industry, full-time and part-time, region and other geographies, and public and private sector. Compiled from the Annual Survey of Hours and Earnings.

Uncontrolled and controlled gender pay gap by age bracket. Ages 20–29: $0.86 uncontrolled, $1.00 controlled (parity). Ages 30–44: $0.80 uncontrolled, $0.98 controlled. Ages 45+: $0.71 uncontrolled, $0.97 controlled — gap widens significantly with age.

In 2025, Barbados was the country with the highest gender pay gap index in Latin America and the Caribbean, with a score of 0.87. Guatemala, on the other hand, had the worst score in the region, at 0.46 points. This shows that, on average, women's income in Guatemala represents only 46 percent of the income received by men. Is the gender pay gap likely to be bridged? In a 2021 survey, 55 percent of respondents in Peru thought it was likely that women will be paid as much as men for the same work. This was one of the most optimistic perspectives when compared to the other Latin American nations surveyed. For instance, in Brazil, only one third of the adults interviewed said that this would be possible in the near future. Based on people's views on salary equality, Mexico was found to be one of the Latin American countries with the best wage equality perception index, which shows that the population's perceptions do not always match reality. In Mexico, the gender pay gap based on estimated income stood at 0.52. The software pay gap in Mexico The digital era does not necessarily favor income equality between genders. Recent data shows that men working in the Mexican software industry receive significantly higher monthly salaries than women or non-binary persons. Wage differences based on gender were specially noticeable in the field of software architecture, where a woman's salary represented, on average, only 60 percent of what a man would earn for performing the same tasks in a comparable position.

19 states have closed the controlled gender pay gap in 2026. 9 of 15 states with pay transparency laws closed the controlled gap. No state has closed the uncontrolled gap. States closed for 3+ consecutive years: California, Connecticut, Maryland, New Jersey, New York, Oregon, Washington D.C.

The global gender gap index benchmarks national gender gaps on economic, political, education, and health-based criteria. In 2025, the country offering the most gender equal conditions was Iceland, with a score of 0.93. Overall, the Nordic countries make up 3 of the 5 most gender equal countries worldwide. The Nordic countries are known for their high levels of gender equality, including high female employment rates and evenly divided parental leave. Sudan is the second-least gender equal country Pakistan is found on the other end of the scale, ranked as the least gender equal country in the world. Conditions for civilians in the North African country have worsened significantly after a civil war broke out in April 2023. Especially girls and women are suffering and have become victims of sexual violence. Moreover, nearly 9 million people are estimated to be at acute risk of famine. The Middle East and North Africa have the largest gender gap Looking at the different world regions, the Middle East and North Africa have the largest gender gap as of 2023, just ahead of South Asia. Moreover, it is estimated that it will take another 152 years before the gender gap in the Middle East and North Africa is closed. On the other hand, Europe has the lowest gender gap in the world.

In 2025, the difference between average hourly earnings for men and women in the United Kingdom for all workers was 12.8 percent, compared with 6.9 percent for full-time workers, and -2.9 percent for part-time workers. During the provided time period, the gender pay gap was at its highest in 1997, when it was 27.5 percent for all workers. Compared with 1997, the gender pay gap has fallen by 13.2 percent for all workers, and 9.7 percent for full-time workers. Gender pay gap higher in older age groups Although the gender pay gap among younger age groups was relatively small in 2024, the double-digit pay gap evident in older age groups served to keep the overall gap high. The gender pay gap for workers aged between 18 and 21 for example was -0.5 percent, compared with 12.1percent for people in their 50s. Additionally, the gender pay gap for people aged over 60 has changed little since 1997, falling by just 1.2 percent between 1997 and 2023, compared with a 14.9 percent reduction among workers in their 40s. Positions of power As of 2024, women are unfortunately still relatively underrepresented in leadership positions at Britain’s top businesses. Among FTSE 100 companies, for example, just 9.4 percent of CEOs were female, falling to just 6.1 percent for FTSE 250 companies. Representation was better when it came to FTSE 100 boardrooms, with 44.7 percent of positions at this level being filled by women, compared with 42.6 percent at FTSE 250 companies. In the corridors of political power, the proportion of female MPs was estimated to have reached its highest ever level after the 2024 election at 41 percent, compared with just three percent in 1979.

Women who are parents or primary caregivers earn $0.74 for every dollar earned by a man (uncontrolled), versus $0.90 for women without children. Controlled: mothers earn $0.99, women without children earn near-parity.

The uncontrolled pay gap is widest for women who work from home as needed ($0.76) and narrowest for women who cannot telecommute ($0.89).

The Global Gender Gap Index aims to measure the parity between men and women in four key areas: health, education, economics, and politics. At the European Union level, ******* led the ranking in the 2025 edition, with a score of **** points, followed by another Nordic country, ******, at ****.

The controlled pay gap closes at the individual contributor level but widens at each subsequent level: Manager/Supervisor $0.98, Director (gap present), Executive $0.92. The uncontrolled gap for female executives is $0.69, worse than $0.72 last year. Men are twice as likely to be executives at age 45+ (12% vs. 6% for 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 Walnut Creek. 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 Walnut Creek, the median income for all workers aged 15 years and older, regardless of work hours, was $83,350 for males and $59,369 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 29% between the median incomes of males and females in Walnut Creek. With women, regardless of work hours, earning 71 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Walnut Creek.

- Full-time workers, aged 15 years and older: In Walnut Creek, among full-time, year-round workers aged 15 years and older, males earned a median income of $132,457, while females earned $104,982, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 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 Walnut Creek, 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 Walnut Creek median household income by race. You can refer the same here

During a 2025 survey carried out among more than ***** marketers from the United Kingdom, it was found that on the manager/team manager level women earned ***** percent less than men. On the director/vice-president level, they earned **** percent less than men.

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 Van Meter. 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 Van Meter, the median income for all workers aged 15 years and older, regardless of work hours, was $71,458 for males and $48,500 for females.

These income figures highlight a substantial gender-based income gap in Van Meter. Women, regardless of work hours, earn 68 cents for each dollar earned by men. This significant gender pay gap, approximately 32%, underscores concerning gender-based income inequality in the city of Van Meter.

- Full-time workers, aged 15 years and older: In Van Meter, among full-time, year-round workers aged 15 years and older, males earned a median income of $85,238, while females earned $56,750, leading to a 33% gender pay gap among full-time workers. This illustrates that women earn 67 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 similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Van Meter, 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 Van Meter 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 Davenport. 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 Davenport, the median income for all workers aged 15 years and older, regardless of work hours, was $45,853 for males and $30,693 for females.

These income figures highlight a substantial gender-based income gap in Davenport. Women, regardless of work hours, earn 67 cents for each dollar earned by men. This significant gender pay gap, approximately 33%, underscores concerning gender-based income inequality in the city of Davenport.

- Full-time workers, aged 15 years and older: In Davenport, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,951, while females earned $50,535, leading to a 18% gender pay gap among full-time workers. This illustrates that women earn 82 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 Davenport.

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

In 2025, the gender pay gap in the United Kingdom for people in their 50s was 12.5 percent, compared with 1.3 percent for people aged 18 to 21.

Specific job titles with the largest pay disparity when controlling for compensable factors. Top 3 in 2026: Wholesale and Retail Buyers (new), Pharmacy Technicians, Claims Adjusters/Examiners/Investigators.