The number of young women between the ages of 15 and 49 is expected to increase worldwide between 2013 and 2025. In 2013, the total number of women globally was 1.8 billion and that is expected to increase to almost 2 billion by 2025. The U.S. accounts for a small proportion of the total number of women globally at just 74.7 million in 2013.

Global demographics

Most recent estimates place the total global population at approximately 7.7 billion people. In mid-2018 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 56 percent and 68 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 2015 was Sierra Leone. The country with the highest estimated birth rate between 2015 and 2020 is expected to be Niger, which is also among the countries with the highest maternal mortality rate. Among developed nations, the United States had the highest maternal mortality rate in 2015.

Population, female (% of total population) in World was reported at 49.71 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.

About this dataset

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.

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 United States population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the United States is shown in the following column.
• Population (Female): The female population in the United States 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 United States 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 United States 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 2023, Hong Kong has the highest share of women worldwide with almost 55 percent. Moldova followed behind with 54 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.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (1,637) | Female # 15-19 years (1,548). 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 Hammond population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Hammond is shown in the following column.
• Population (Female): The female population in the Hammond 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 Hammond 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 Hammond Population by Gender. You can refer the same here

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.

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.

About this dataset

Context

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

Key observations

There is a slight majority of female population, with 50.42% 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 Indiana is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Indiana 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 Indiana Population by Race & Ethnicity. You can refer the same here

Since 1950 there has been a relatively large difference in the number of males and females in Latvia, particularly when put in context with the total overall population. The number of women exceeds the number of men by over 260 thousand in 1950, which is one of the long-term effects of the Second World War. During the war, Latvia lost approximately 12.5 percent of its overall population, an the number of women was already higher than men before this, however the war caused this gap in population to widen much further. From 1950 onwards both male and female populations grow, and by 1990 the gap has shrunk down to 180,000 people. In 1990 Latvia gained it's independence from the Soviet Union, and from this point both populations begin to decline, falling to 870 thousand men in 2020, and just over one million women, with a difference of 150 thousand people.

In 2024, there were around 719 million male inhabitants and 689 million female inhabitants living in China, amounting to around 1.41 billion people in total. China's total population decreased for the first time in decades in 2022, and population decline is expected to accelerate in the upcoming years. Birth control in China From the beginning of the 1970s on, having many children was no longer encouraged in mainland China. The one-child policy was then introduced in 1979 to control the total size of the Chinese population. According to the one-child policy, a married couple was only allowed to have one child. With the time, modifications were added to the policy, for example parents living in rural areas were allowed to have a second child if the first was a daughter, and most ethnic minorities were excepted from the policy. Population ageing The birth control led to a decreasing birth rate in China and a more skewed gender ratio of new births due to boy preference. Since the negative economic and social effects of an aging population were more and more felt in China, the one-child policy was considered an obstacle for the country’s further economic development. Since 2014, the one-child policy has been gradually relaxed and fully eliminated at the end of 2015. However, many young Chinese people are not willing to have more children due to high costs of raising a child, especially in urban areas.

The estimated population of the U.S. was approximately 334.9 million in 2023, and the largest age group was adults aged 30 to 34. There were 11.88 million males in this age category and around 11.64 million females. Which U.S. state has the largest population? The population of the United States continues to increase, and the country is the third most populous in the world behind China and India. The gender distribution has remained consistent for many years, with the number of females narrowly outnumbering males. In terms of where the residents are located, California was the state with the highest population in 2023. The U.S. population by race and ethnicity The United States is well known the world over for having a diverse population. In 2023, the number of Black or African American individuals was estimated to be 45.76 million, which represented an increase of over four million since the 2010 census. The number of Asian residents has increased at a similar rate during the same time period and the Hispanic population in the U.S. has also continued to grow.

There are more women than men in Germany, although the number of men has been slowly increasing in recent years, especially since 2015. In 2023, there were around 41.8 million males and 42.9 million females in Germany. Births and deaths Globally, the death rate had been slowly decreasing until 2019 but there was a sharp spike in 2020 and 2021, which can be attributed to the COVID-19 pandemic. The general decline, however, is probably due to medical advancements which mean that many diseases are now treatable or curable, that were not 50 years ago. The birth rate has also been decreasing across the world, but it is lowest in Europe and North America. Future challenges There are a number of challenges facing the German population in the future. Some of the most pressing ones are the growing urban population and especially its ageing structure in combination with slow birth rates, which will put increased pressure on the pension system. Because of this trend, old age security and pensions are already today in the top ten most pressing political issues in Germany.

This statistic shows the total population of Senegal from 2013 to 2023 by gender. In 2023, Senegal's female population amounted to approximately 8.9 million, while the male population amounted to approximately 9.2 million inhabitants.

The female population in Turkey in 2022 was roughly 42.64 million, while the men population was slightly higher, with about 42.73 million. The highest share of the women population against men was seen in the age group of 90+, having a 70.2 percent share. In contrast, in the age group of 0–14 years old, the percentage of men was the highest, at 51.3 percent.

This statistic shows the total male and female population of Lithuania from 1950 to 2020. From the graph we can see that there is a relatively large difference in the number of males and females, particularly when put in context with the total overall population. The number of women exceeds the number of men by over 260 thousand in 1950, which is one of the long-term effects of the Second World War. During the war, Lithuania lost over 14 percent of its overall population, and the number of women was already higher than men before this, however the war caused this gap in population to widen much further. From 1950 onwards both male and female populations grow, and by 1990 the gap has shrunk down to 200 thousand people. In 1990 Lithuania gained it's independence from the Soviet Union, and from this point both populations begin to decline, falling to 1.26 million men in 2020, and 1.46 million women, with a difference of 200 thousand.

The average for 2023 based on 12 countries was 50.47 percent. The highest value was in Uruguay: 51.51 percent and the lowest value was in Paraguay: 49.85 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

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 1889 Romania had just achieved full independence and was enjoying a period of stability and progress. The numbers of men and women remain similar, between 1889 and 1912, however there are 100,000 more men in 1889 and 100,000 more women in 1919. This demographic change came as a result of migration and international conflict.

Between 1912 and 1930 the population of Romania grows by over 10 million people. The main reason for this is the huge territories gained by Romania in the aftermath of the First World War. During the war Romania remained neutral for the first two years, after which it joined the allies, however it was very quickly defeated and overrun by the Central Powers, and in total it lost over 600,000 people as a direct result of the war. With the collapse of the Austro-Hungarian and Russian empires after the war, Romania gained almost double it's territory, which caused the population to soar to 18.1 million in 1930. The population then decreases by 1941 and again by1948, as Romania seceded territory to neighboring countries and lost approximately half a million lives (mostly men) during the war. From 1948 onwards the population begins to grow again, and the difference in the number of men and women falls from 530 thousand in 1948 to 330 thousand in 1990.

Like many other Eastern European countries, there was very limited freedom of movement from Romania during the Cold War, and communist rule was difficult for the Romanian people. The Romanian Revolution in 1898 ended communist rule in the country and the country transitioned to a free-market society and movement from the country was allowed. Since then the population has fallen each year as more and more Romanians move abroad in search of work and opportunities. The number of men is decreasing at a faster rate than the number of women, and by 2020 it is forecasted there will be 530 thousand more women in Romania than men.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (1,676) | Female # 60-64 years (1,880). 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 Myrtle Beach population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Myrtle Beach is shown in the following column.
• Population (Female): The female population in the Myrtle Beach 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 Myrtle Beach 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 Myrtle Beach Population by Gender. You can refer the same here

In 2023, the population of women between 15 and 64 years old in Colombia totaled more than 18.3 million. 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 Colombia was estimated at almost 52 million inhabitants.