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.

The Second World War had a sever impact on gender ratios across European countries, particularly in the Soviet Union. While the United States had a balanced gender ratio of one man for every woman, in the Soviet Union the ratio was below 5:4 in favor of women, and in Soviet Russia this figure was closer to 4:3.

As young men were disproportionately killed during the war, this had long-term implications for demographic development, where the generation who would have typically started families in the 1940s was severely depleted in many countries.

In 2022, there were around **** male births per female births in China and Vietnam, respectively. Comparatively, in Sri Lanka, the gender ratio was **** male to female births that year.

About this dataset

Context

The dataset tabulates the population of Country Club Heights by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Country Club Heights. The dataset can be utilized to understand the population distribution of Country Club Heights by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Country Club Heights. 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 Country Club Heights.

Key observations

Largest age group (population): Male # 55-59 years (23) | Female # 65-69 years (14). 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 Country Club Heights population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Club Heights is shown in the following column.
• Population (Female): The female population in the Country Club Heights 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 Country Club Heights 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 Country Club Heights Population by Gender. You can refer the same here

Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data was reported at 905.000 NA in 2020. This records an increase from the previous number of 894.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data is updated yearly, averaging 878.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 905.000 NA in 2020 and a record low of 869.000 NA in 2014. Sex Ratio at Birth: Female per 1000 Male: Uttar Pradesh data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

This dataset provides comprehensive information on sex ratios at birth across different countries and regions from 1950 to 2023. It contains 18,944 observations from the United Nations World Population Prospects, offering researchers and demographers valuable insights into gender demographics and potential societal influences on birth sex ratios. The dataset enables analysis of deviations from the biological norm of 105 males per 100 females at birth.

Key features include:

• Coverage of over 200 countries and territories
• Annual sex ratio measurements spanning 73 years
• Standardized methodology across regions
• High-quality demographic data from national statistics
• Consistent reporting format and units

This dataset is ideal for:

• Analyzing demographic trends and gender imbalances
• Studying the impact of social policies on birth sex ratios
• Investigating potential sex-selective practices
• Conducting cross-cultural demographic research
• Developing population projection models
• Understanding regional variations in birth patterns

Finland FI: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.047 Ratio in 2017. This stayed constant from the previous number of 1.047 Ratio for 2016. Finland FI: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.047 Ratio from Dec 1962 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.052 Ratio in 1972 and a record low of 1.040 Ratio in 1992. Finland FI: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Finland – Table FI.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

World Population Sex Ratio 2024

This dataset provides a comprehensive overview of the global population's sex ratio in 2024, detailing the number of males and females across various countries and regions. It offers insights into demographic trends, enabling analysis of gender distribution, disparities, and their implications for socio-economic planning and research. Perfect for data enthusiasts, researchers, and policy analysts exploring population dynamics.**World Population Sex Ratio 2024**
This dataset provides a comprehensive overview of the global population's sex ratio in 2024, detailing the number of males and females across various countries and regions. It offers insights into demographic trends, enabling analysis of gender distribution, disparities, and their implications for socio-economic planning and research. Perfect for data enthusiasts, researchers, and policy analysts exploring population dynamics.

Japan JP: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.056 Ratio in 2016. This stayed constant from the previous number of 1.056 Ratio for 2015. Japan JP: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.056 Ratio from Dec 1962 (Median) to 2016, with 20 observations. The data reached an all-time high of 1.056 Ratio in 2016 and a record low of 1.056 Ratio in 2016. Japan JP: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

About this dataset

Context

The dataset tabulates the population of Country Club Hills by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Country Club Hills. The dataset can be utilized to understand the population distribution of Country Club Hills by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Country Club Hills. 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 Country Club Hills.

Key observations

Largest age group (population): Male # 60-64 years (629) | Female # 15-19 years (1,014). 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 Country Club Hills population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Club Hills is shown in the following column.
• Population (Female): The female population in the Country Club Hills 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 Country Club Hills 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 Country Club Hills Population by Gender. You can refer the same here

United Arab Emirates AE: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.045 Ratio in 2017. This stayed constant from the previous number of 1.045 Ratio for 2016. United Arab Emirates AE: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.045 Ratio from Dec 1962 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.045 Ratio in 2017 and a record low of 1.045 Ratio in 2017. United Arab Emirates AE: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

France FR: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.052 Ratio in 2016. This stayed constant from the previous number of 1.052 Ratio for 2015. France FR: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.052 Ratio from Dec 1962 (Median) to 2016, with 20 observations. The data reached an all-time high of 1.052 Ratio in 2016 and a record low of 1.052 Ratio in 2016. France FR: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

The human sex ratio at birth (SRB) is approximately 107 boys for every 100 girls. SRB was rising until the World War II and has been declining slightly after the 1950s in several industrial countries. Recent studies have shown that SRB varies according to exposure to disasters and socioeconomic conditions. However, it remains unknown whether changes in SRB can be explained by observable macro-level socioeconomic variables across multiple years and countries. Here we show that changes in disposable income at the macro level positively predict SRB in OECD countries. A one standard deviation increase in the change of disposable income is associated with an increase of 1.03 male births per 1000 female births. The relationship is possibly nonlinear and driven by extreme changes. The association varies from country to country being particular strong in Estonia. This is the first evidence to show that economic and social conditions are connected to SRB across countries at the macro level. This calls for further research on the effects of societal conditions on general characteristics at birth.

In 2022, Sri Lanka had the highest female to male ratio across the Asia-Pacific region, with on average *** female students for every one male student enrolled in tertiary education. Comparatively, Bangladesh had significantly more male students than female students enrolled in tertiary education.

This web appendix formed part of the original submission and has been peer reviewed. The journal post it as supplied by the authors.Supplement to: Chao, F., Gerland, P., Cook, A.R. and Alkema, L., 2019. Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels. Proceedings of the National Academy of Sciences, 116(19), pp.9303-9311.

Egypt EG: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.060 Ratio in 2017. This records a decrease from the previous number of 1.061 Ratio for 2016. Egypt EG: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.061 Ratio from Dec 1962 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.066 Ratio in 2012 and a record low of 1.060 Ratio in 2017. Egypt EG: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

About this dataset

Context

The dataset tabulates the population of Country Life Acres by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Country Life Acres. The dataset can be utilized to understand the population distribution of Country Life Acres by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Country Life Acres. 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 Country Life Acres.

Key observations

Largest age group (population): Male # 60-64 years (8) | Female # 60-64 years (7). 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 Country Life Acres population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Country Life Acres is shown in the following column.
• Population (Female): The female population in the Country Life Acres 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 Country Life Acres 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 Country Life Acres Population by Gender. You can refer the same here

Sweden SE: Sex Ratio at Birth: Male Births per Female Births data was reported at 1.060 Ratio in 2017. This stayed constant from the previous number of 1.060 Ratio for 2016. Sweden SE: Sex Ratio at Birth: Male Births per Female Births data is updated yearly, averaging 1.059 Ratio from Dec 1962 (Median) to 2017, with 21 observations. The data reached an all-time high of 1.062 Ratio in 1972 and a record low of 1.054 Ratio in 1992. Sweden SE: Sex Ratio at Birth: Male Births per Female Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Population and Urbanization Statistics. Sex ratio at birth refers to male births per female births. The data are 5 year averages.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;

About this dataset

Context

The dataset tabulates the population of Brazos Country by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Brazos Country. The dataset can be utilized to understand the population distribution of Brazos Country by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Brazos Country. 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 Brazos Country.

Key observations

Largest age group (population): Male # 20-24 years (46) | Female # 50-54 years (52). 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 Brazos Country population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Brazos Country is shown in the following column.
• Population (Female): The female population in the Brazos Country 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 Brazos Country 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 Brazos Country Population by Gender. You can refer the same here

This Alberta Official Statistic describes Sex Ratio, Total Dependency Ratio, and Aging Index for Alberta and Canada for two census periods, 2006 and 2011. The sex ratio is the ratio of males to females in a given population, usually expressed as the number of males for every 100 females. The sex ratio at birth in most countries is about 105 or 106 males per 100 females. After birth, sex ratios vary because of different patterns of mortality and migration for males and females within the population. Dependency ratio (age dependency ratio) is the ratio of persons in the "dependent" ages (generally under age 15 and over age 64) to those in the "economically productive" ages (15 - 64 years) in a population. The age-dependency ratio is sometimes divided into old-age dependency (the ratio of people ages 65 and older to those ages 15-64) and child-dependency (the ratio of people under age 15 to those ages 15-64) ratios. The sum of these two is the Total (age) dependency ratio. This ratio is often used as an indicator of the economic burden the productive portion of a population must carry - even though some persons defined as "dependent" are producers and some persons in the "productive" ages are economically dependent. Countries with very high birth rates usually have higher dependency ratios because of the large proportion of children in the population. The Aging Index is the ratio of persons aged 65 years and over to every 100 persons under age 15 years. It is a measure of aging of a population. The aging index shows that Alberta’s population is younger than that of Canada.