In Mexico as of the third quarter of 2023, there was a higher standard monthly wage for the male population with 8,473 Mexican pesos, while women got 7,281 MXP. Thus, the male population got a higher income around 16 percent more than the female population.

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 Mexico. 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 Mexico, the median income for all workers aged 15 years and older, regardless of work hours, was $38,924 for males and $28,249 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 Mexico. 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 Mexico.

- Full-time workers, aged 15 years and older: In Mexico, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,750, while females earned $39,870, leading to a 26% gender pay gap among full-time workers. This illustrates that women earn 74 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 Mexico, 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 Mexico median household income by race. You can refer the same here

In 2022, there was a gender pay gap in Mexico when considering the average income per family. The male population had a higher average income compared to the female population, regardless of the number of children in the household. For men with *** children, the highest average income recorded was ****** Mexican pesos, while for women with the same number of children, the average income was nearly half that amount, at ****** Mexican pesos.

Wages in Mexico decreased to 621.98 MXN/Day in October from 623.13 MXN/Day in September of 2025. This dataset provides - Mexico Average Daily Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

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 Mexico Beach. 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 Mexico Beach, the median income for all workers aged 15 years and older, regardless of work hours, was $47,000 for males and $36,000 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 23% between the median incomes of males and females in Mexico Beach. With women, regardless of work hours, earning 77 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Mexico Beach.

- Full-time workers, aged 15 years and older: In Mexico Beach, among full-time, year-round workers aged 15 years and older, males earned a median income of $64,688, while females earned $85,875

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.33 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

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

Mexico MX: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 68.720 % in 2018. This records an increase from the previous number of 68.667 % for 2017. Mexico MX: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 63.945 % from Dec 1991 (Median) to 2018, with 28 observations. The data reached an all-time high of 68.898 % in 2016 and a record low of 52.971 % in 1991. Mexico MX: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Employment and Unemployment. Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs,' where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.; ; International Labour Organization, ILOSTAT database. Data retrieved in April 2019.; Weighted average;

During a 2019/20 survey fielded in Mexico, it was found that in the software industry, men earned on average ** thousand Mexican pesos per month before taxes, while women earned ** thousand Mexican pesos.