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 July of 2025.

In terms of population size, the sex ratio in the United States favors females, although the gender gap is remaining stable. In 2010, there were around 5.17 million more women, with the difference projected to decrease to around 3 million by 2027.

Gender ratios by U.S. state In the United States, the resident population was estimated to be around 331.89 million in 2021. The gender distribution of the nation has remained steady for several years, with women accounting for approximately 51.1 percent of the population since 2013. Females outnumbered males in the majority of states across the country in 2020, and there were eleven states where the gender ratio favored men.

Metro areas by population National differences between male and female populations can also be analyzed by metropolitan areas. In general, a metropolitan area is a region with a main city at its center and adjacent communities that are all connected by social and economic factors. The largest metro areas in the U.S. are New York, Los Angeles, and Chicago. In 2019, there were more women than men in all three of those areas, but Jackson, Missouri was the metro area with the highest share of female population.

Over the past 23 years, there were constantly more men than women living on the planet. Of the 8.06 billion people living on the Earth in 2023, 4.05 billion were men and 4.01 billion were women. One-quarter of the world's total population in 2024 was below 15 years.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Charleston. The dataset can be utilized to gain insights into gender-based income distribution within the Charleston population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Charleston, among individuals aged 15 years and older with income, there were 55,453 men and 61,191 women in the workforce. Among them, 33,617 men were engaged in full-time, year-round employment, while 29,789 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 6.12% fell within the income range of under $24,999, while 7.63% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 36.63% of men in full-time roles earned incomes exceeding $100,000, while 21.41% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Charleston median household income by race. You can refer the same here

Population, female (% of total population) in India was reported at 48.42 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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 ** percent. Moldova followed behind with ** 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.

Korea Population: as % of Total: Female: Aged 15-64 data was reported at 71.066 % in 2017. This records a decrease from the previous number of 71.404 % for 2016. Korea Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 67.953 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 71.923 % in 2013 and a record low of 53.294 % in 1963. Korea 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 Korea – Table KR.World Bank: 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.

Count of women who served, including casualty counts, sorted by the wartime period in which they served

Photos were taken on Delhi streets to estimate the proportion of women on the streets of Delhi. See https://github.com/soodoku/women-count

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Shelby. The dataset can be utilized to gain insights into gender-based income distribution within the Shelby population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Shelby, among individuals aged 15 years and older with income, there were 6,927 men and 8,472 women in the workforce. Among them, 3,507 men were engaged in full-time, year-round employment, while 3,383 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 7.07% fell within the income range of under $24,999, while 14.01% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 19.48% of men in full-time roles earned incomes exceeding $100,000, while 8.10% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Shelby median household income by race. You can refer the same here

Pakistan PK: Population: Female data was reported at 95,816,602.000 Person in 2017. This records an increase from the previous number of 93,958,639.000 Person for 2016. Pakistan PK: Population: Female data is updated yearly, averaging 49,568,043.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 95,816,602.000 Person in 2017 and a record low of 20,852,045.000 Person in 1960. Pakistan PK: Population: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;

Population, female (% of total population) in Pakistan was reported at 49.28 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Population, female in India was reported at 702612364 Persons in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Population, female - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This dataset includes individual state-year merged US Census and election returns at various levels of aggregation for 10 sample states, 1920-36 (Illinois and Kansas, 1916-1936).

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Shannon City. The dataset can be utilized to gain insights into gender-based income distribution within the Shannon City population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Shannon City, among individuals aged 15 years and older with income, there were 56 men and 32 women in the workforce. Among them, 24 men were engaged in full-time, year-round employment, while 9 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while none of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: none of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Shannon City median household income by race. You can refer the same here

The gap between the number of women and men in Russia was measured at approximately 10.3 million as of January 1, 2024, with the female population of the country historically outnumbering the male population. Both genders saw a decrease in inhabitants compared to the previous year. Why are there more women than men in Russia? One of the factors explaining gender imbalance in modern Russia is the gap in average life expectancy between the genders. In 2022, Russian women outlived men by around 10 years. In particular, working-age men were six times more likely to die from external causes of death, such as accidents and suicides, compared to working age women in that year. Furthermore, partial mobilization announced as a result of the Russia-Ukraine war resulted in a mass exodus of young men fleeing from conscription. In response to the government’s call to recruit up to 300,000 reservists in end-September 2022, Google search interest in the term "How to leave Russia" increased sharply. Gender imbalance and its consequences for Russia In Russia, the labor market remains highly segregated by gender. Manual jobs in equipment operation, metal industry, manufacturing, and mechanics are male dominated. The labor shortage in these spheres could limit the country’s potential for increased industrial production. Furthermore, fewer men exacerbate the issue of falling births in Russia. In 2023, only 1.26 million births were recorded nationwide, the lowest over the past decade. Coupled with a decreasing number of working-age men, such a decline in live births could lead to less innovation, a larger share of retired people, and rising government expenditure on pensions and healthcare.

Financial overview and grant giving statistics of Count Me in for Womens Economic Independence Inc.

Analysis of ‘Number of Women Who Served and Casualty Counts by Wartime Period, 1898 to 2015’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9a105751-511e-445b-a9c1-83c3001f6921 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Count of women who served, including casualty counts, sorted by the wartime period in which they served

--- Original source retains full ownership of the source dataset ---

Listing by County of the current contractors supplying services to the Every Woman Counts program.

(CDID: JLGS) Year - Claimant count and vacancies time series This dataset contains series for the Claimant Count (which measures the number of people claiming unemployment-related benefits) and vacancies.