Sex ratio at birth (male births per female births) in United States was reported at 1.049 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Sex ratio at birth (male births per female births) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

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.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (705) | Female # 20-24 years (724). 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 College Place population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the College Place is shown in the following column.
• Population (Female): The female population in the College Place 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 College Place 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 College Place Population by Gender. You can refer the same here

This statistic presents the distribution of monthly active Bumble users in the United States as of March 2021, sorted by gender. During the measured period, it was found by App Ape that male users accounted for **** percent of the dating app's active user accounts via Android.

United States US: Gender Parity Index (GPI): Secondary School Enrollment: Gross data was reported at 1.010 Ratio in 2015. This records an increase from the previous number of 1.010 Ratio for 2014. United States US: Gender Parity Index (GPI): Secondary School Enrollment: Gross data is updated yearly, averaging 1.011 Ratio from Dec 1972 (Median) to 2015, with 32 observations. The data reached an all-time high of 1.056 Ratio in 1981 and a record low of 0.562 Ratio in 1972. United States US: Gender Parity Index (GPI): Secondary School Enrollment: Gross 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: Education Statistics. Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (104) | Female # 65-69 years (109). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Lake Village population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Lake Village is shown in the following column.
• Population (Female): The female population in the Lake Village 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 Lake Village 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 Lake Village Population by Gender. You can refer the same here

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.

United States US: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 7.200 Ratio in 2017. This records a decrease from the previous number of 7.400 Ratio for 2015. United States US: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 8.000 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 12.500 Ratio in 1990 and a record low of 7.200 Ratio in 2017. United States US: Mortality Rate: Under-5: Male: per 1000 Live Births 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: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts, by state or county, for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons, and women. The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website. Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020. The Gender measures in this release include the state-level poverty ratio, which compares the proportion of females living in poverty to the proportion of males living in poverty in a given state in a given year. To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 25-29 years (47) | Female # 10-14 years (39). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 New Germany population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Germany is shown in the following column.
• Population (Female): The female population in the New Germany 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 New Germany 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 New Germany Population by Gender. You can refer the same here

In 2024, South Carolina and the District of Columbia's tech sector workforce had the greatest gender balance, with ** percent male and ** percent female. Wyoming had the least share of women among other states for tech sector workers that year, with women representing around ** percent. Overall, the female workforce made up around ********* of the tech workforce in the United States.

In the United States, the large majority of registered nurses are *****. From 2014 to 2017, only *** out of ten registered nurses were men. Although nursing remains predominately a female profession, the share of male registered nurses has slightly increased over the years.

This statistic presents the distribution of active Match dating app users in the United States as of **********, sorted by gender. During the measured period, it was found by App Ape that male users accounted for **** percent of the dating app's active user accounts on the Android platform.

As of 2024, 97 percent of adult women and 96 percent of adult men in the United States used the internet. Both figures have seen notable increases since 2000.

In 2021, around ** percent of total for-credit students enrolled in community colleges in the United States were female. Less than half of enrollees were males in that same year.

In 2022, about **** million male students were enrolled in degree-granting postsecondary institutions as undergraduates. This is compared to **** million female undergraduate students who were enrolled in that same year. By 2031, these figures are projected to increase to **** million and *** million respectively.

Across all branches of the U.S. military, men were more likely to be officers than women. In 2023, there were 75,077 male officers in the U.S. Army, compared to 17,709 female officers. This contrast was even more stark in the Marine Corps, where there were 19,074 male officers and 2,171 female officers.

As of February 2025, men accounted for 63 percent of X, formerly Twitter, users in the United States. Additionally, the U.S. was home to the world's largest Twitter audience, with over 105 million users in early 2024.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 30-34 years (89) | Female # 15-19 years (89). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Industry population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Industry is shown in the following column.
• Population (Female): The female population in the Industry 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 Industry 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 Industry Population by Gender. You can refer the same here

The statistic represents the female to male ratio in selected countries regarding the membership in parliament in 2012. In 2012, for every 100 men in U.S. parliament, there were ** women in parliament.