In 2025, Costa Rica was the Latin American country with the highest gender gap index, with 0.786 points. Another Central American country, Belize, had the worst score in the region with 0.7 points. This means that, on average, women in this country have 30 percent less opportunities than men in education, health, the economy, and politics.

Gender Inequality in Latin America
Based on a 2023 survey conducted among the populace in each nation, Mexico has been perceived as having the least gender-based wage equality, receiving a score of 0.5 out of 1, which is the lowest. In contrast, Barbados is regarded as the most gender-equal among the LATAM countries. Furthermore, the labor market exhibits a male bias, as women have consistently experienced higher unemployment rates over the years, with a rate of 11.3 percent as of 2021. Additionally, it is more common across the countries to observe a greater proportion of females experiencing higher poverty rates, with Mexican and Colombian women being the primary two groups representing this circumstance.

Literacy gender gap
As education progresses in both the educational and labor sectors, the goal is to ensure that basic literacy is accessible to everyone. However, research data reveals that the gender parity index for adult and youth literacy in Latin America remains at around 1 percent. This means that one woman out of 100 is less likely to possess literacy skills compared to men. Furthermore, this rate shows a significant gender gap, with 93.71 percent of females in this region accounting for this skill. Consequently, in the labor field, there are implications for skilled workers due to this literacy gap, resulting in higher rates of unemployment, a lack of training, and a non-educational population. This issue affects approximately 28.4 percent of women in Latin America.

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.

The statistics presents the results of a survey conducted across 27 countries as of January 2019 on people's identification with feminism. Among the Latin American countries surveyed, Chile had the highest share of female respondents who strongly or somewhat defined themselves as a feminist. In Argentina, only 25 percent of male respondents identified as feminists.

About this dataset

Context

The dataset tabulates the population of Central Lake by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Central Lake. The dataset can be utilized to understand the population distribution of Central Lake by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Central Lake. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Central Lake.

Key observations

Largest age group (population): Male # 10-14 years (103) | Female # 5-9 years (53). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Central Lake population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Central Lake is shown in the following column.
• Population (Female): The female population in the Central Lake is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Central Lake for each age group.

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 Central Lake Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Central by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Central. The dataset can be utilized to understand the population distribution of Central by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Central. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Central.

Key observations

Largest age group (population): Male # 15-19 years (1,370) | Female # 10-14 years (1,283). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Central population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Central is shown in the following column.
• Population (Female): The female population in the Central is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Central for each age group.

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 Central Population by Gender. You can refer the same here

Previous studies on face preferences have found that online and laboratory experiments yield similar results with samples from developed countries, where the majority of the population has internet access. No study has yet explored whether the same holds true in developing countries, where the majority of the population does not have internet access. This gap in the literature has become increasingly important given that several online studies are now using cross-country comparisons. We therefore sought to determine if an online sample is representative of the population in the developing country of El Salvador. In studies of Hispanic men and women aged 18–25, we tested facial masculinity and adiposity preferences by collecting data in person as well as online. Our results showed that there were no differences in preferences between people who reported having internet access, whether they were tested online or in person. This provides evidence that testing style does not bias preferences among the same population. On the other hand, our results showed multiple differences in preferences between people who reported having internet access and people who reported not having internet access. More specifically, we found that people without internet access preferred more feminine men, more masculine women, and women with higher adiposity than people with internet access. We also found that people without internet access had fewer resources (e.g. running water) than people with internet access, suggesting that harshness in the environment may be influencing face preferences. These findings suggest that online studies may provide a distorted perspective of the populations in developing countries.

A survey carried out in 2025 revealed that Mexico had the lowest score of gender wage equality for similar work among 20 Latin American and Caribbean countries surveyed. Mexico scored 0.51 points of a maximum of one, a grade that would represent perfect equality.The indicator is based on the perceptions of wage equality in each country. Respondents were asked to which extent, in a scale from one to seven, wages for women are equal to those of men. The answers were then converted into a females to males ratio, where zero represents the worst possible level of inequality and one, perfect equality. Based on the estimated earned income per capita, Guatemala had the worst gender pay gap in Latin America and the Caribbean.

With increasing violence, political, and economic instability in Latin America, there is a record number of migrants crossing the U.S. southern border. Latin American migrants are often exposed to traumatic events before leaving their home country and during migration. While prior studies document that sex may play a role in types of traumatic exposure, few studies compare differences in traumatic exposure by sex and place of occurrence of recently arrived immigrants. Addressing this gap, we recruited 120 adults who had recently crossed the U.S.-Mexico border. Participants completed questionnaires to characterize trauma exposures in their home country and during their migration journey. Results found that men reported higher levels of exposure to combat situations, while women were more likely to experience sexual assault. Both combat exposure and sexual traumas occurred more often in home countries than during migration. More than half of the full sample reported being threatened with a firearm. These data confirm gender differences in type of trauma and that exposures in the country of origin may provide the impetus to migrate.

About this dataset

Context

The dataset tabulates the population of Central City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Central City. The dataset can be utilized to understand the population distribution of Central City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Central City. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Central City.

Key observations

Largest age group (population): Male # 5-9 years (74) | Female # 45-49 years (63). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Central City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Central City is shown in the following column.
• Population (Female): The female population in the Central City is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Central City for each age group.

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 Central City Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Central Valley by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Central Valley. The dataset can be utilized to understand the population distribution of Central Valley by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Central Valley. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Central Valley.

Key observations

Largest age group (population): Male # 10-14 years (41) | Female # 15-19 years (72). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Central Valley population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Central Valley is shown in the following column.
• Population (Female): The female population in the Central Valley is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Central Valley for each age group.

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 Central Valley Population by Gender. You can refer the same here

In 2024, the total population of Brazil amounted to nearly *** million inhabitants. Over ***** million women and ***** million men reside in this Latin American country. Brazil is the most populated country in the region.

In 2022, the nation with the highest age-standardized mortality rate of all cancer types among women in Latin America and the Caribbean was Jamaica with ***** women per 100,000 population. In the case of men, the country with the highest rate was Barbados, with ***** cancer deaths per 100,000 men. While the cancer death rate was higher for men than women in most of the listed countries, the opposite was true in Peru and Bolivia. That year, both women and men had the highest cancer incidence rates in Uruguay compared to other selected countries in the region.

About this dataset

Context

The dataset tabulates the population of Central Point by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Central Point. The dataset can be utilized to understand the population distribution of Central Point by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Central Point. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Central Point.

Key observations

Largest age group (population): Male # 35-39 years (870) | Female # 45-49 years (963). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Central Point population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Central Point is shown in the following column.
• Population (Female): The female population in the Central Point is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Central Point for each age group.

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 Central Point Population by Gender. You can refer the same here

From April to June of 2020, Peru was one of the Latin American countries whose level of employment suffered the highest decline due to the COVID-19 crisis. Compared to the second quarter of 2019, Peru's employment among women decreased more than 57 percent. Among the economies shown in this graph, Mexico was the only one to register a higher decrease in employment among men than women.

The cancer type with the highest prevalence rate in Latin America and the Caribbean in 2022 was breast cancer, with ***** cases per 100,000 population. This was followed by prostate cancer and colorectal cancer, with prevalence rates of ***** and **** cases per 100,000 population, respectively. That year, breast and prostate cancer were also the two cancer types with the highest mortality rates in the region. Regional variations in cancer prevalence While breast cancer has a higher prevalence rate in Latin America overall, individual countries show distinct patterns. Uruguay stands out with the highest age-standardized cancer prevalence rates in Latin America and the Caribbean for both men and women, at ******* and ******* cases per 100,000 population as of 2022, followed by Barbados, Cuba, and Argentina. When it comes to differences between genders, while some countries like Chile and Cuba show higher rates among men, most nations in the region report higher prevalence rates among women.
Medical equipment for diagnosis and treatment Like prevalence rates, the availability of specialized medical equipment used for cancer diagnosis and treatment in Latin American hospitals varies from country to country and from technology to technology. As of 2023, while one in four hospitals in the region had CT scanners, only one percent had robotic surgery systems. When it comes to basic equipment, ECG and ultrasound machines are the most common type of equipment found in Latin American hospitals.

According to a late 2023 survey, more than 60 percent of men under the age of 40 surveyed in 22 countries reported being physically active. The percentage was lower among female participants in that year.

About this dataset

Context

The dataset tabulates the population of Central City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Central City. The dataset can be utilized to understand the population distribution of Central City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Central City. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Central City.

Key observations

Largest age group (population): Male # 40-44 years (415) | Female # 0-4 years (363). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Central City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Central City is shown in the following column.
• Population (Female): The female population in the Central City is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Central City for each age group.

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 Central City Population by Gender. You can refer the same here

In 2023, the total population of Costa Rica amounted to about 5.21 million. The number of men who lived in Costa Rica was nearly the same as the number of women, with approximately 2.61 million inhabitants of each gender. Population figures in this Central American country show a maintained upward trend at least since 2008.

In 2024, the population of Honduras amounted to nearly 10.83 million inhabitants, out of which approximately 5.38 million were women, and 5.45 million were men. Since 2008, the population of this Central American country has grown by 33 percent.

In 2043, physically active Mexicans who worked out sufficiently spent on average almost six hours on this activity every week. However, men spent slightly more time exercising than women in the North American country.