100+ datasets found
  1. T

    World - Population, Female (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). World - Population, Female (% Of Total) [Dataset]. https://tradingeconomics.com/world/population-female-percent-of-total-wb-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    World, World
    Description

    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.

  2. Population in South and North Korea 2008-2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Population in South and North Korea 2008-2024 [Dataset]. https://www.statista.com/statistics/1035321/south-korea-population-comparison-with-north-korea/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North Korea, South Korea
    Description

    In 2024, the population of South Korea was estimated to be about ***** million. The population of North Korea was approximately ***** million, which is roughly half the population of South Korea. Economic comparison between South and North Korea Following the Korean War (1950-1953), South Korea and North Korea pursued vastly different trajectories, both politically and economically. South Korea embraced capitalism and free market principles, which fueled its rapid economic growth and transformed it into one of the world's leading economies. In contrast, North Korea adopted a state-controlled, centrally planned economy, leading to isolation and economic stagnation. While South Korea's gross domestic product (GDP) reached around ***** trillion South Korean won in 2023, only about ** trillion won was recorded for North Korea. Food crisis in North Korea North Korea has faced food insecurity for a long time, and this has been exacerbated in the aftermath of the COVID-19 pandemic. It was estimated that the country had a food shortage of around ******* metric tons in 2023. Although the North Korean government maintains a centrally planned economic system, food distribution has long been a problem, as an increasing number of North Korean defectors have reported that they have never received food from North Korean authorities.

  3. G

    Percent of world population in South East Asia | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 15, 2021
    + more versions
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    Globalen LLC (2021). Percent of world population in South East Asia | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_share/South-East-Asia/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 15, 2021
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    Asia, World, World
    Description

    The average for 2023 based on 11 countries was 2.41 percent. The highest value was in India: 17.91 percent and the lowest value was in Brunei: 0.01 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

  4. Historical population of the continents 10,000BCE-2000CE

    • statista.com
    • ai-chatbox.pro
    Updated Dec 31, 2007
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    Statista (2007). Historical population of the continents 10,000BCE-2000CE [Dataset]. https://www.statista.com/statistics/1006557/global-population-per-continent-10000bce-2000ce/
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    Dataset updated
    Dec 31, 2007
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The earliest point where scientists can make reasonable estimates for the population of global regions is around 10,000 years before the Common Era (or 12,000 years ago). Estimates suggest that Asia has consistently been the most populated continent, and the least populated continent has generally been Oceania (although it was more heavily populated than areas such as North America in very early years). Population growth was very slow, but an increase can be observed between most of the given time periods. There were, however, dips in population due to pandemics, the most notable of these being the impact of plague in Eurasia in the 14th century, and the impact of European contact with the indigenous populations of the Americas after 1492, where it took almost four centuries for the population of Latin America to return to its pre-1500 level. The world's population first reached one billion people in 1803, which also coincided with a spike in population growth, due to the onset of the demographic transition. This wave of growth first spread across the most industrially developed countries in the 19th century, and the correlation between demographic development and industrial or economic maturity continued until today, with Africa being the final major region to begin its transition in the late-1900s.

  5. N

    Elizabethtown, IN Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Elizabethtown, IN Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/elizabethtown-in-population-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 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
    Elizabethtown
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    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 measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    There is a majority of female population, with 54.77% 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 Elizabethtown is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Elizabethtown 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 Elizabethtown Population by Race & Ethnicity. You can refer the same here

  6. T

    Resident Population in Iowa

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 29, 2017
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    TRADING ECONOMICS (2017). Resident Population in Iowa [Dataset]. https://tradingeconomics.com/united-states/resident-population-in-iowa-thous-of-persons-a-na-fed-data.html
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Nov 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Iowa
    Description

    Resident Population in Iowa was 3241.48800 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Iowa reached a record high of 3241.48800 in January of 2024 and a record low of 2211.00000 in January of 1905. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Iowa - last updated from the United States Federal Reserve on July of 2025.

  7. G

    Percent female population in Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 28, 2019
    + more versions
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    Globalen LLC (2019). Percent female population in Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/percent_female_population/Africa/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Nov 28, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    World, Africa
    Description

    The average for 2023 based on 53 countries was 50.08 percent. The highest value was in Zimbabwe: 52.38 percent and the lowest value was in the Seychelles: 44.82 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

  8. N

    Cave-In-Rock, IL Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Cave-In-Rock, IL Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b2261c11-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 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
    Illinois, Cave-In-Rock
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    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 measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    There is a slight majority of female population, with 51.97% 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 Cave-In-Rock is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Cave-In-Rock 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 Cave-In-Rock Population by Race & Ethnicity. You can refer the same here

  9. N

    Dows, IA Population Breakdown by Gender Dataset: Male and Female Population...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). Dows, IA Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/d04403c7-c980-11ee-9145-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 19, 2024
    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
    Dows, Iowa
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    There is a slight majority of female population, with 50.09% of total population being female. 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.

    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 Dows is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Dows 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 Dows Population by Race & Ethnicity. You can refer the same here

  10. N

    Fruit Heights, UT Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). Fruit Heights, UT Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/d059a578-c980-11ee-9145-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 19, 2024
    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
    Utah, Fruit Heights
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    There is a majority of male population, with 53.42% of total population being male. 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.

    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 Fruit Heights is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Fruit Heights 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 Fruit Heights Population by Race & Ethnicity. You can refer the same here

  11. Costa Rica CR: Population in Largest City: as % of Urban Population

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 27, 2018
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    CEICdata.com (2018). Costa Rica CR: Population in Largest City: as % of Urban Population [Dataset]. https://www.ceicdata.com/en/costa-rica/population-and-urbanization-statistics/cr-population-in-largest-city-as--of-urban-population
    Explore at:
    Dataset updated
    Feb 27, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Costa Rica
    Variables measured
    Population
    Description

    Costa Rica CR: Population in Largest City: as % of Urban Population data was reported at 34.747 % in 2024. This records an increase from the previous number of 34.658 % for 2023. Costa Rica CR: Population in Largest City: as % of Urban Population data is updated yearly, averaging 46.499 % from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 51.171 % in 1963 and a record low of 34.420 % in 2020. Costa Rica CR: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.;United Nations, World Urbanization Prospects.;Weighted average;

  12. N

    Odon, IN Population Breakdown by Gender and Age Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Odon, IN Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e1f65eb8-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 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
    Odon
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    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 measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    Largest age group (population): Male # 25-29 years (98) | Female # 65-69 years (117). 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 Odon population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Odon is shown in the following column.
    • Population (Female): The female population in the Odon 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 Odon 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 Odon Population by Gender. You can refer the same here

  13. g

    Population in the future / county level (mid-range results) - Population...

    • gimi9.com
    Updated Oct 13, 2024
    + more versions
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    (2024). Population in the future / county level (mid-range results) - Population under 20 years 2070, % change compared to 2020 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_ae215a05-6522-5d4a-0fe9-91595d664ee5
    Explore at:
    Dataset updated
    Oct 13, 2024
    Description

    Thematic maps of the population. Share of population by age group in the total population in 2020, 2040, 2070. % change in population by age group in 2020 compared to 2040 and 2070. Youth and old-age dependency ratios 2020, 2040 and 2070. The youth quotient indicates the number of persons under the age of 20 per 100 persons between the ages of 20 and 65, the old-age quotient indicates the number of persons aged 65 and older per 100 persons between the ages of 20 and 65. The data come from the sixth regionalized population projection (medium variant). This projection is based on the results of the population update as at 31. December 2020. The birth rate will rise from 1.57 today to 1.6 children per woman by 2025. It will remain constant until 2070. Life expectancy will increase from 83 to 85 years for women today and from 79 to 82 years for men by 2040. By 2070, a further increase is assumed for women to 87 years and for men to 85 years. The projection assumes that the net migration will increase from 17,300 to +20,000 persons per year by 2025. It will remain at this level until 2030. The balance will then fall to +15,000 persons by 2040. This corresponds roughly to the long-term net migration recorded by Rhineland-Palatinate on average per year between 1951 and 2020. From 2040 onwards, the balance will remain constant until the end of the forecasting period. Population under 20 years 2070, % change from 2070.

  14. N

    Ellston, IA Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). Ellston, IA Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/d04be8ac-c980-11ee-9145-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 19, 2024
    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
    Ellston, Iowa
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    There is a considerable majority of female population, with 66.67% of total population being female. 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.

    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 Ellston is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Ellston 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 Ellston Population by Race & Ethnicity. You can refer the same here

  15. N

    Buffalo Grove, IL Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Buffalo Grove, IL Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b223db87-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 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
    Buffalo Grove, Illinois
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    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 measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    There is a slight majority of female population, with 52.79% 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 Buffalo Grove is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Buffalo Grove 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 Buffalo Grove Population by Race & Ethnicity. You can refer the same here

  16. F

    Resident Population in the West South Central Census Division

    • fred.stlouisfed.org
    json
    Updated Dec 23, 2024
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    (2024). Resident Population in the West South Central Census Division [Dataset]. https://fred.stlouisfed.org/series/CWSCPOP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 23, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    West South Central states
    Description

    Graph and download economic data for Resident Population in the West South Central Census Division (CWSCPOP) from 1900 to 2024 about West South Central Census Division, residents, population, and USA.

  17. F

    Resident Population in Oklahoma City, OK (MSA)

    • fred.stlouisfed.org
    json
    Updated Mar 14, 2025
    + more versions
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    (2025). Resident Population in Oklahoma City, OK (MSA) [Dataset]. https://fred.stlouisfed.org/series/OKCPOP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 14, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Oklahoma, Oklahoma City
    Description

    Graph and download economic data for Resident Population in Oklahoma City, OK (MSA) (OKCPOP) from 2000 to 2024 about Oklahoma City, OK, residents, population, and USA.

  18. Angola AO: Population in Largest City

    • ceicdata.com
    • dr.ceicdata.com
    Updated Jun 15, 2017
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    CEICdata.com (2017). Angola AO: Population in Largest City [Dataset]. https://www.ceicdata.com/en/angola/population-and-urbanization-statistics/ao-population-in-largest-city
    Explore at:
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Angola
    Variables measured
    Population
    Description

    Angola AO: Population in Largest City data was reported at 9,651,032.000 Person in 2024. This records an increase from the previous number of 9,292,336.000 Person for 2023. Angola AO: Population in Largest City data is updated yearly, averaging 1,698,075.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 9,651,032.000 Person in 2024 and a record low of 219,427.000 Person in 1960. Angola AO: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Angola – Table AO.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.;United Nations, World Urbanization Prospects.;;

  19. T

    Resident Population in New Jersey

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 2, 2018
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    TRADING ECONOMICS (2018). Resident Population in New Jersey [Dataset]. https://tradingeconomics.com/united-states/resident-population-in-new-jersey-thous-of-persons-a-na-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Aug 2, 2018
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    New Jersey
    Description

    Resident Population in New Jersey was 9500.85100 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in New Jersey reached a record high of 9500.85100 in January of 2024 and a record low of 1884.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in New Jersey - last updated from the United States Federal Reserve on July of 2025.

  20. Data from: Dataset of Iberian ibex population in Sierra Nevada (Spain)

    • gbif.org
    Updated Dec 17, 2021
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    José Enrique Granados Torres; José Enrique Granados Torres; José Enrique Granados Torres; José Enrique Granados Torres (2021). Dataset of Iberian ibex population in Sierra Nevada (Spain) [Dataset]. http://doi.org/10.15470/3ucqfm
    Explore at:
    Dataset updated
    Dec 17, 2021
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Sierra Nevada Global-Change Observatory (UGR-JA)
    Authors
    José Enrique Granados Torres; José Enrique Granados Torres; José Enrique Granados Torres; José Enrique Granados Torres
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jul 8, 1993 - Nov 7, 2018
    Area covered
    Description

    This dataset provides long-term information about Iberian ibex (Capra pyrenaica hispanica Schimper, 1848) presence in Sierra Nevada (SE Iberian Peninsula), as a result of annual sampling from 1993 to 2018 done by the managers of the Sierra Nevada Natural and National Park. They carried out the transects collecting different variables such as the number of individuals observed, the perpendicular distance of each group of goats to the transect line and, at an individual level and sex as well as age of individuals in the case of males. These data enabled the calculation of population parameters such as density, sex ratio, birth rate and age structure. These parameters are key for Iberian ibex conservation and management, given that Sierra Nevada harbours the largest population of this species in the Iberian Peninsula. The data set we present is structured using the Darwin Core biological standard, which contains 3,091 events (582 transect walk events and 2,509 group sighting events), 5,396 occurrences, and 2,502 measurements. The occurrences include the sightings of 11,436 individuals (grouped by sex and age) from 1993 to 2018 in a total of 88 transects distributed along Sierra Nevada, of which 33 have been continuously sampled since 2008.

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TRADING ECONOMICS (2017). World - Population, Female (% Of Total) [Dataset]. https://tradingeconomics.com/world/population-female-percent-of-total-wb-data.html

World - Population, Female (% Of Total)

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
json, xml, csv, excelAvailable download formats
Dataset updated
May 29, 2017
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 1, 1976 - Dec 31, 2025
Area covered
World, World
Description

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.

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