Worldwide, the male population is slightly higher than the female population, although this varies by country. As of 2024, Hong Kong has the highest share of women worldwide with almost ** percent. Moldova followed behind with around ** percent. Among the countries with the largest share of women in the total population, several were former Soviet states or were located in Eastern Europe. By contrast, Qatar, the United Arab Emirates, and Oman had some of the highest proportions of men in their populations.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of United States by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for United States. The dataset can be utilized to understand the population distribution of United States by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in United States. 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 United States.
Key observations
Largest age group (population): Male # 30-34 years (11.65 million) | Female # 30-34 years (11.41 million). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for United States Population by Gender. You can refer the same here
The male-female ratio expressed as men per 100 women in Mexico City stood at approximately ***** in 2020. Between 1910 and 2020, the ratio rose by around ****, though the increase followed an uneven trajectory rather than a consistent upward trend.
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License information was derived automatically
Context
The dataset tabulates the population of San Diego by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for San Diego. The dataset can be utilized to understand the population distribution of San Diego by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in San Diego. 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 San Diego.
Key observations
Largest age group (population): Male # 25-29 years (68,680) | Female # 25-29 years (62,701). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for San Diego Population by Gender. You can refer the same here
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License information was derived automatically
Context
The dataset tabulates the population of Carmel by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Carmel. The dataset can be utilized to understand the population distribution of Carmel by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Carmel. 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 Carmel.
Key observations
Largest age group (population): Male # 10-14 years (4,472) | Female # 40-44 years (4,086). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Carmel Population by Gender. You can refer the same here
In 2020, the male-female ratio expressed as men per 100 women in Mexico State amounted to approximately *****. Between 1910 and 2020, the figure dropped by around ****, though the decline followed an uneven course rather than a steady trajectory.
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License information was derived automatically
Lithuania - Women per 100 men was 114.80% in December of 2022, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Lithuania - Women per 100 men - last updated from the EUROSTAT on July of 2025. Historically, Lithuania - Women per 100 men reached a record high of 117.20% in December of 2016 and a record low of 112.80% in December of 2021.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Toronto by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Toronto. The dataset can be utilized to understand the population distribution of Toronto by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Toronto. 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 Toronto.
Key observations
Largest age group (population): Male # 5-9 years (307) | Female # 30-34 years (311). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Toronto Population by Gender. You can refer the same here
Over the past 23 years, there were constantly more men than women living on the planet. Of the 8.06 billion people living on the Earth in 2023, 4.05 billion were men and 4.01 billion were women. One-quarter of the world's total population in 2024 was below 15 years.
As of 2020, the male to female ratio in Algeria stood at ***** percent. This indicated a slightly higher percentage of men than women in the population. Since 2000, the gender ratio in the country has been slowly decreasing.
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License information was derived automatically
Thailand: Ratio of female to male students in tertiary level education: The latest value from 2023 is 1.26 percent, an increase from 1.25 percent in 2022. In comparison, the world average is 1.16 percent, based on data from 62 countries. Historically, the average for Thailand from 1976 to 2023 is 1.15 percent. The minimum value, 0.68 percent, was reached in 1976 while the maximum of 1.29 percent was recorded in 2018.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Pine Island by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Pine Island. The dataset can be utilized to understand the population distribution of Pine Island by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Pine Island. 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 Pine Island.
Key observations
Largest age group (population): Male # 15-19 years (91) | Female # 60-64 years (116). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Pine Island Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Hamilton by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Hamilton. The dataset can be utilized to understand the population distribution of Hamilton by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Hamilton. 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 Hamilton.
Key observations
Largest age group (population): Male # 55-59 years (119) | Female # 65-69 years (123). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Hamilton Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of England by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for England. The dataset can be utilized to understand the population distribution of England by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in England. 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 England.
Key observations
Largest age group (population): Male # 40-44 years (154) | Female # 0-4 years (183). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for England Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Hurricane by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Hurricane. The dataset can be utilized to understand the population distribution of Hurricane by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Hurricane. 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 Hurricane.
Key observations
Largest age group (population): Male # 65-69 years (382) | Female # 65-69 years (423). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Hurricane Population by Gender. You can refer the same here
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License information was derived automatically
Sex ratio at birth (male births per female births) in United Kingdom was reported at 1.055 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United Kingdom - Sex ratio at birth (male births per female births) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Stevensville by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Stevensville. The dataset can be utilized to understand the population distribution of Stevensville by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Stevensville. 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 Stevensville.
Key observations
Largest age group (population): Male # 50-54 years (105) | Female # 35-39 years (148). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Stevensville Population by Gender. You can refer the same here
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License information was derived automatically
Colombia: Ratio of female to male students in tertiary level education: The latest value from 2022 is 1.15 percent, unchanged from 1.15 percent in 2021. In comparison, the world average is 1.21 percent, based on data from 117 countries. Historically, the average for Colombia from 1970 to 2022 is 0.99 percent. The minimum value, 0.37 percent, was reached in 1970 while the maximum of 1.15 percent was recorded in 2021.
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License information was derived automatically
Ratio of female to male labor force participation rate (%) (national estimate) in Czech Republic was reported at 75.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Czech Republic - Ratio of female to male labor force participation rate (national estimate) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Everett by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Everett. The dataset can be utilized to understand the population distribution of Everett by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Everett. 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 Everett.
Key observations
Largest age group (population): Male # 30-34 years (5,394) | Female # 25-29 years (4,963). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for Everett Population by Gender. You can refer the same here
Worldwide, the male population is slightly higher than the female population, although this varies by country. As of 2024, Hong Kong has the highest share of women worldwide with almost ** percent. Moldova followed behind with around ** percent. Among the countries with the largest share of women in the total population, several were former Soviet states or were located in Eastern Europe. By contrast, Qatar, the United Arab Emirates, and Oman had some of the highest proportions of men in their populations.