Actual value and historical data chart for World Population Female Percent Of Total

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.

In 2013, the total number of women aged 15 to 49 years worldwide was *** billion. In 2017 it was estimated that this number would increase to almost ****billion by 2025. The U.S. accounted for a small proportion of the total number of women globally in 2013 with just **** million. Global demographics In 2024, the total global population at approximately **** billion people. In 2024, the continent with the largest proportion of the global population was Asia, followed by Africa. While North America and Oceania were some of the least populated areas of the world. The age distribution of the population varies by region as well. For example, the percentage of the global population between the ages of 15 and 64 years varies between ** percent and ** percent. Women’s health worldwide Women face different health challenges depending on the region and country. One important global health issue is maternal mortality. The country with the highest maternal mortality rate in 2023 was Nigeria. Chad had the seventh-highest estimated birth rate in 2024 and was the country with the second-highest maternal mortality rate. The United States has one of the highest maternal mortality rates when compared to similarly developed countries.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 55-59 years (50,401) | Female # 60-64 years (53,567). 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 Palm Beach County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Palm Beach County is shown in the following column.
• Population (Female): The female population in the Palm Beach County 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 Palm Beach County 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 Palm Beach County Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (126,340) | Female # 55-59 years (134,487). 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 Connecticut population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Connecticut is shown in the following column.
• Population (Female): The female population in the Connecticut 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 Connecticut 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 Connecticut Population by Gender. You can refer the same here

The average for 2024 based on 12 countries was 50.48 percent. The highest value was in Uruguay: 51.5 percent and the lowest value was in Paraguay: 49.86 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

In 1801 the population of France was estimated to be just under 20 million people, the number of women was 14 million, whereas the number of men was 13.3 million. The gap then widens in 1821 to 0.9 million, which is most likely a result of the Napoleonic Wars, and it then narrows during the rest of the century, shrinking to just 0.04 million in 1866.

Throughout the time shown in the graph the numbers of men and women seem to follow similar trends, however the period between 1911 and 1946 shows how drastically the numbers of men were affected by both World Wars. Between 1911 and 1921 the number of men dropped by 0.8 million, whereas the number of women grew by 0.4 million. The male population does grow again during the interwar years, however both populations drop between 1931 and 1946 due to the Second World War, with the number of males decreasing by just under one million and the number of females by 0.4 million. This graph does not show how many died in France during the wars, as the numbers would also be influenced by the birth and natural death rate, but it does give an insight into the long term affects it had on the population.

From 1946 onwards the population of France does grow steadily, and at a much faster rate than it did in the 19th century. The population grows from just under 40 million in 1946, to 65.7 million in 2020, with 31.2 and 33.2 million men and women respectively. This increase in growth comes as a result of an increased fertility rate as well as an increased rate of migration into the country. While the difference in the number of men and women did decrease after the war, reaching its lowest point of 1.1 million in 1975, the gap has widened again to over two million in 2020.

United States US: Population: as % of Total: Female: Aged 65 and Above data was reported at 16.925 % in 2017. This records an increase from the previous number of 16.550 % for 2016. United States US: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 14.035 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 16.925 % in 2017 and a record low of 10.023 % in 1960. United States US: Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

The female population in Turkey in 2022 was roughly ***** million, while the men population was slightly higher, with about ***** million. The highest share of the women population against men was seen in the age group of **+, having a **** percent share. In contrast, in the age group of **** years old, the percentage of men was the highest, at **** percent.

The average for 2024 based on 53 countries was 50.08 percent. The highest value was in Zimbabwe: 52.33 percent and the lowest value was in the Seychelles: 44.84 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

United States US: Population: Female: Ages 5-9: % of Female Population data was reported at 6.176 % in 2017. This records a decrease from the previous number of 6.267 % for 2016. United States US: Population: Female: Ages 5-9: % of Female Population data is updated yearly, averaging 7.009 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 10.134 % in 1964 and a record low of 6.176 % in 2017. United States US: Population: Female: Ages 5-9: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Population and Urbanization Statistics. Female population between the ages 5 to 9 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

This statistic shows the total population of Cameroon from 2013 to 2023 by gender. In 2023, Cameroon's female population amounted to approximately 14.36 million, while the male population amounted to approximately 14.29 million inhabitants.

About this dataset

Context

The dataset tabulates the population of Madison by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Madison across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.05% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Madison is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Madison total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Madison Population by Race & Ethnicity. You can refer the same here

The average for 2024 based on 24 countries was 50.84 percent. The highest value was in Puerto Rico: 52.92 percent and the lowest value was in Saint Vincent and the Grenadines: 49.08 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Kenya KE: Population: as % of Total: Female: Aged 15-64 data was reported at 57.169 % in 2017. This records an increase from the previous number of 56.815 % for 2016. Kenya KE: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 48.674 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 57.169 % in 2017 and a record low of 47.013 % in 1976. Kenya KE: Population: as % of Total: Female: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

The total number of women of all ages that live within an area. Source: U.S. Bureau of the Census Years Available: 2010

In 1950, when Estonia's population was estimated at 1.1 million people, approximately 57 percent of the population was female, while 43 percent was male; this equated to a difference of more than 160,000 people. In the past century, as with many former-Soviet states, Estonia has consistently had one of the most disproportionate gender ratios in the world. The reason for this was due to the large number of men who were killed in wars during the first half of the twentieth century, which was particularly high across the Soviet Union, as well as a much higher life expectancy among women. The difference in the number of men and women in Estonia has gradually decreased over the past seven decades, but in 2020, there are still 70,000 more females than males, in a population of 1.3 million people; this equates to total shares of roughly 53 percent and 47 percent of the total population respectively.

In 2023, Egypt's female population amounted to approximately 56.71 million, while the male population amounted to approximately 57.83 million inhabitants. Throughout the period under review, the male population was higher than the female population. Moreover, in the last decade, the population followed an increasing trend.

Actual value and historical data chart for United States Population Ages 15 19 Female Percent Of Female Population