94 datasets found
  1. Total population of the United States by gender 2010-2027

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Total population of the United States by gender 2010-2027 [Dataset]. https://www.statista.com/statistics/737923/us-population-by-gender/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  2. Largest female population share 2023, by country

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Largest female population share 2023, by country [Dataset]. https://www.statista.com/statistics/1238987/female-population-share-by-country/
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    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.

  3. U.S. population: male to female ratio, by state 2020

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. population: male to female ratio, by state 2020 [Dataset]. https://www.statista.com/statistics/301946/us-population-males-per-100-females-by-state/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    Alaska had the highest male to female ratio in the United States in 2020, with 109.2 men for every 100 women. The male to female ration was lowest in the District of Columbia, with 90.3 men for every 100 women.

    The final frontier

    Alaska, which was purchased from the Russian Empire in 1867, is the largest state in the U.S. and one of the newest states, having been admitted to the U.S. in 1959. Although oil production dominates the economy, Alaska has a very high poverty rate and consistently has the highest unemployment rate in the country.

    It’s a man’s world

    Alaska is one of 10 states in the U.S. that has more men than women. The male to female ratio in the United States as a whole is about even, but as the population ages, there tend to be more females than males. Even though the sex ratio in the U.S. is almost one to one, a little more than 56 percent all females participated in the labor force in 2021, compared with 67.6 percent of men.

  4. Population of Russia 1960-2023, by gender

    • statista.com
    Updated Nov 13, 2024
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    Population of Russia 1960-2023, by gender [Dataset]. https://www.statista.com/statistics/1090643/population-russia-gender-age-group/
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    Dataset updated
    Nov 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 1960 - Jan 1, 2023
    Area covered
    Russia
    Description

    The gap between the number of women and men in Russia was measured at 10.26 million as of January 1, 2023, with the female population of the country historically outnumbering the male population. Both genders saw an increase 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 genders. In 2021, Russian women outlived men by close to 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, with over 10 million Russian men employed in those sectors combined as of 2022. The labor shortage in those spheres could limit the country’s potential for increased industrial production. Furthermore, fewer men exacerbate the issue of falling births in Russia. In 2021, only 1.4 million births were recorded nationwide, the lowest over the past decade. Coupled with a decreasing number of working-age men, such decline in live births could lead to less innovation, a larger share of retired people, and rising government expenditure on pensions and healthcare.

  5. N

    Charleston, SC annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Charleston, SC annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/charleston-sc-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Charleston, South Carolina
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    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

  6. Global population 2000-2023, by gender

    • statista.com
    Updated Feb 12, 2025
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    Global population 2000-2023, by gender [Dataset]. https://www.statista.com/statistics/1328107/global-population-gender/
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    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    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.

  7. N

    Charleston, SC annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Charleston, SC annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/charleston-sc-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Charleston, South Carolina
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Charleston. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Charleston, the median income for all workers aged 15 years and older, regardless of work hours, was $58,891 for males and $43,294 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 26% between the median incomes of males and females in Charleston. With women, regardless of work hours, earning 74 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Charleston.

    - Full-time workers, aged 15 years and older: In Charleston, among full-time, year-round workers aged 15 years and older, males earned a median income of $74,708, while females earned $59,922, leading to a 20% gender pay gap among full-time workers. This illustrates that women earn 80 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Charleston, showcasing a consistent income pattern irrespective of employment status.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    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.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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

  8. U.S. population by sex 1980-2022

    • statista.com
    Updated Jul 5, 2024
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    U.S. population by sex 1980-2022 [Dataset]. https://www.statista.com/statistics/241495/us-population-by-sex/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of July 1, 2022, there were 165.28 million males and 168 million females living in the United States. The overall population of the United States has remained steady since 2010.

  9. Smallest female population share 2023, by country

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Smallest female population share 2023, by country [Dataset]. https://www.statista.com/statistics/1238990/lowest-female-population-share-by-country/
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    Worldwide, the male population is slightly higher than the female population. As of 2023, the country with the highest percentage of men was Qatar with only slightly more than one quarter of the total population being women. The United Arab Emirates followed with 36 percent. Different factors can influence the gender distribution in a population, such as life expectancy, the sex ratio at birth, and immigration. For instance, in Qatar the large share of male is due to the high immigration flows of male labor in the country.

  10. t

    Gender

    • townfolio.co
    + more versions
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    Gender [Dataset]. https://townfolio.co/ns/westville/demographics
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    Description

    Overall, women outnumber men by 270 people. The 60 to 64 years old age cohort exhibits the largest discrepancy with a difference of 15 people between the sexes. Furthermore, majority of the population is between the ages 60 to 64 years old, comprising 7.87 per cent of the population.

  11. Data from: Women are seen more than heard in online newspapers

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Apr 20, 2016
    + more versions
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    Sen Jia; Thomas Lansdall-Welfare; Saatviga Sudhahar; Cynthia Carter; Nello Cristianini (2016). Women are seen more than heard in online newspapers [Dataset]. http://doi.org/10.5061/dryad.p8s0j
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    zipAvailable download formats
    Dataset updated
    Apr 20, 2016
    Dataset provided by
    Cardiff University
    University of Bristol
    Authors
    Sen Jia; Thomas Lansdall-Welfare; Saatviga Sudhahar; Cynthia Carter; Nello Cristianini
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Feminist news media researchers have long contended that masculine news values shape journalists’ quotidian decisions about what is newsworthy. As a result, it is argued, topics and issues traditionally regarded as primarily of interest and relevance to women are routinely marginalised in the news, while men’s views and voices are given privileged space. When women do show up in the news, it is often as “eye candy,” thus reinforcing women’s value as sources of visual pleasure rather than residing in the content of their views. To date, evidence to support such claims has tended to be based on small-scale, manual analyses of news content. In this article, we report on findings from our large-scale, data-driven study of gender representation in online English language news media. We analysed both words and images so as to give a broader picture of how gender is represented in online news. The corpus of news content examined consists of 2,353,652 articles collected over a period of six months from more than 950 different news outlets. From this initial dataset, we extracted 2,171,239 references to named persons and 1,376,824 images resolving the gender of names and faces using automated computational methods. We found that males were represented more often than females in both images and text, but in proportions that changed across topics, news outlets and mode. Moreover, the proportion of females was consistently higher in images than in text, for virtually all topics and news outlets; women were more likely to be represented visually than they were mentioned as a news actor or source. Our large-scale, data-driven analysis offers important empirical evidence of macroscopic patterns in news content concerning the way men and women are represented.

  12. Number of licensed drivers in the United States by gender 2021-2022

    • statista.com
    Updated Nov 28, 2024
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    Statista (2024). Number of licensed drivers in the United States by gender 2021-2022 [Dataset]. https://www.statista.com/statistics/198017/total-number-of-us-licensed-drivers-in-2009-by-gender/
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    Dataset updated
    Nov 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, female motorists accounted for just over half of all licensed drivers in the United States, with around 119 million female licensees compared to 115.2 million male licensees. The total number of licensed drivers stood at around 235.1 million. Fewer younger drivers The share of young drivers in the driving population fell significantly between 2010 and 2020. Under 20-year-olds accounted for about 3.8 percent of total license-holders in 2019, down to under 3.7 percent in 2020. The reason for this is being put to the increased number of drivers in other age cohorts, and also the rising costs of car insurance, which is highest for young male drivers. The rise in insurance premiums on young men should not come as a surprise, as young men are more likely than any other demographic to die at the wheel. Non-binary gender options Some federal states issue third gender identities. License-holders can choose between three options: M, F, and X. However, even if more and more states are to accommodate non-binary gender identities, this has yet to become included in national statistics.

  13. t

    Gender

    • townfolio.co
    • assiniboia.net
    + more versions
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    Gender [Dataset]. https://townfolio.co/sk/assiniboia/demographics
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    Description

    Overall, women outnumber men by 140 people. The 0 to 4 years old age cohort exhibits the largest discrepancy with a difference of 10 people between the sexes. Furthermore, majority of the population is between the ages 80 to 84 years old, comprising 9.58 per cent of the population.

  14. Mexico: total population 2023, by age & gender

    • statista.com
    Updated Aug 30, 2024
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    Statista (2024). Mexico: total population 2023, by age & gender [Dataset]. https://www.statista.com/statistics/792564/population-total-age-gender-mexico/
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    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Mexico
    Description

    In 2023, more than 44.5 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 127 million inhabitants.

  15. Population of Germany 1990-2023, by gender

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Population of Germany 1990-2023, by gender [Dataset]. https://www.statista.com/statistics/454338/population-by-gender-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    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.

  16. t

    Sex By Age

    • townfolio.co
    Updated Jan 15, 2018
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    (2018). Sex By Age [Dataset]. https://townfolio.co/mo/stotts/demographics
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    Dataset updated
    Jan 15, 2018
    Description

    Age-sex charts emphasize the gap between the numbers of males and females at a specific age group. It also illustrates the age and gender trends across all age and gender groupings. A top heavy chart describes a very young population while a bottom heavy chart illustrates an aging population.

  17. U.S. video gaming audiences 2006-2023, by gender

    • statista.com
    Updated Oct 29, 2024
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    Statista (2024). U.S. video gaming audiences 2006-2023, by gender [Dataset]. https://www.statista.com/statistics/232383/gender-split-of-us-computer-and-video-gamers/
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    Dataset updated
    Oct 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, women accounted for 46 percent of gamers in the United States, down from 48 percent of U.S. gamers identifying as women during the previous year.

    What percentage gamers are female? Almost half of gaming audiences in the United States are female. This development has been ongoing for years, and whereas women are under-represented in games media and the industry, they make up a sizable chunk of gamers and spending power. There are some differences in terms of genre preferences but as a whole, female gaming audiences in the United States are just as engaged as their male counterparts.

  18. Population of Estonia, by gender 1950-2020

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Population of Estonia, by gender 1950-2020 [Dataset]. https://www.statista.com/statistics/1009074/male-female-population-estonia-1950-2020/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Estonia
    Description

    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.

  19. Gender ratios in select countries after the Second World War 1950

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Gender ratios in select countries after the Second World War 1950 [Dataset]. https://www.statista.com/statistics/1261433/post-wwii-gender-ratios-in-select-countries/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1950
    Area covered
    CEE, North America, Europe, Asia, World
    Description

    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.

  20. Population of the Republic of Ireland by gender 1821-2011

    • statista.com
    Updated Aug 9, 2024
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    Population of the Republic of Ireland by gender 1821-2011 [Dataset]. https://www.statista.com/statistics/1015413/male-female-population-republic-ireland-1821-2011/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1821 - 2011
    Area covered
    Ireland, Ireland
    Description

    From 1821 until 2011, the male and female populations of the 26 counties of the modern-day Republic of Ireland grew at a relatively similar rate, however some fluctuations did occur. During this time, the entire island of Ireland was a part of the United Kingdom of Great Britain and Ireland, after both islands were united by the Acts of Union in 1800. This graph shows the populations of the 26 counties that would later form the Republic of Ireland in 1921, and does not include the six counties that became known as Northern Ireland.

    As we can see, both populations follow a relatively similar trend throughout their respective histories. In the first three entries, women outnumber men by 70,000 to 120,000, although these figures do not include military personnel which would narrow this margin. Both populations fall at a similar rate during and after the famine, however the male population does fall slightly faster, possibly due to an increased rate of emigration among males. Another point where both populations differ is in the early twentieth century, where the female population declines in a relatively smooth curve, although the male populations peak in the census data before and after both world wars. From 1956 onwards both populations follow a very similar trend, and grow at the same rate. The difference in population sizes never exceeds 30,000 people, until the final entry in 2011 where the population of men is 2.27 million and the population of women is 2.31 million.

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Statista (2024). Total population of the United States by gender 2010-2027 [Dataset]. https://www.statista.com/statistics/737923/us-population-by-gender/
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Total population of the United States by gender 2010-2027

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48 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 5, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

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.

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