Over the past 24 years, there were constantly more men than women living on the planet. Of the 8.06 billion people living on the Earth in 2024, 4.09 billion were men and 4.05 billion were women. One-quarter of the world's total population in 2024 was below 15 years.

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.

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

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.93% 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 Tennessee is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Tennessee 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 Tennessee Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (36) | Female # 10-14 years (32). 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 Cleveland population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Cleveland is shown in the following column.
• Population (Female): The female population in the Cleveland 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 Cleveland 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 Cleveland Population by Gender. You can refer the same here

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

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.

This statistic shows the total population of Nigeria from 2013 to 2023 by gender. In 2023, Nigeria's female population amounted to approximately 112.68 million, while the male population amounted to approximately 115.21 million inhabitants.

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.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (10,966) | Female # 25-29 years (10,675). 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 Fort Wayne population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Fort Wayne is shown in the following column.
• Population (Female): The female population in the Fort Wayne 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 Fort Wayne 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 Fort Wayne Population by Gender. You can refer the same here

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.

About this dataset

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.

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 England population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the England is shown in the following column.
• Population (Female): The female population in the England 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 England 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 England Population by Gender. You can refer the same here

In 2020, Germany remained the largest population in the European Union with over 83 million inhabitants. Most European countries have a larger female than male population. Only in Ireland, Luxembourg, Malta, Serbia, and Sweden constitute men the majority of inhabitants. Germany had the largest population of both genders in Europe, with 42.1 million women and 41 million men.

In 2022, about ** percent of the population in Brunei were male. In comparison, Myanmar had a larger female population, at **** percent of the total in the same year.

Kenya recorded ***** male births per 100 female births in 2021. The country's gender ratio kept stable since 2011, after increasing from ***** in 2000.

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.

In 2024, more than 45.67 million women in Mexico were between 15 and 64 years old. The youngest age range - from 0 to 14 years - is the only one where the male population exceeds that of women. That year, the population of Mexico was estimated at over 130 million inhabitants.

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

As of January 2025, roughly 25.01 million women lived in Spain, thus outnumbering men by about 980,000. A report on expected population of EU member states forecasts the number of Spanish inhabitants growing to 49.9 million by 2050, which would make the Mediterranean nation the fourth most populated country in the EU, after Germany, France and Italy. Data relating to the population of Spain by gender and autonomous community shows the most populous region was Andalusia, with 4.4 million females and 4.2 million males, followed by the communities of Catalonia and Madrid. Moroccans made up the largest share of foreign nationals living in Spain, closely followed by Romanian nationals.

As of January 2025, about 59 million people lived in Italy. Around 29 million individuals were males and 30 million people were females. The most populated area of the country was the north-west, where 15.9 million people lived. Furthermore, the southern regions counted 13.4 million inhabitants, representing the second most populous area of the country. Regional census The northern region of Lombardy is the most populous region of Italy. One-sixth of all the Italian population is concentrated in this area. Lazio and Campania follow with approximately 5.7 million and 5.6 million individuals, respectively. On the other hand, Aosta Valley, a northern region bordering to France and Switzerland, counted 123,000 inhabitants, representing the smallest region of Italy in terms of residents as well as area. More and more Italians are moving abroad In recent years, the number of Italians reported living abroad increased. In 2022, 5.8 million people lived outside Italy, almost three million more than in 2006. The country hosting the largest Italian population is Argentina, while other large Italian communities reside in Germany, Switzerland, and Brazil.