100+ datasets found
  1. Average age of French men and women 2010-2023

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Average age of French men and women 2010-2023 [Dataset]. https://www.statista.com/statistics/1172522/age-way-france-by-sex/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    The average age of the French population seems to be different according to gender, as told from the time line from 2010 to 2023. A general trend observed suggest that women had a higher average age over the years, compared to men. The average age of French men in 2023 (40.9 years) was lower than that of French women (43.7 years). This phenomenon could be explained by the fact that women have a higher life expectancy than men.

  2. Life Expectancy - Men at the age of 65 years in the U.S. 1960-2021

    • statista.com
    Updated Dec 12, 2023
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    Statista (2023). Life Expectancy - Men at the age of 65 years in the U.S. 1960-2021 [Dataset]. https://www.statista.com/statistics/266657/us-life-expectancy-for-men-aat-the-age-of-65-years-since-1960/
    Explore at:
    Dataset updated
    Dec 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The life expectancy for men aged 65 years in the U.S. has gradually increased since the 1960s. Now men in the United States aged 65 can expect to live 17 more years on average. Women aged 65 years can expect to live around 19.7 more years on average.

    Life expectancy in the U.S.

    As of 2021, the average life expectancy at birth in the United States was 76.33 years. Life expectancy in the U.S. had steadily increased for many years but has recently dropped slightly. Women consistently have a higher life expectancy than men but have also seen a slight decrease. As of 2019, a woman in the U.S. could be expected to live up to 79.3 years.

    Leading causes of death

    The leading causes of death in the United States include heart disease, cancer, unintentional injuries, chronic lower respiratory diseases and cerebrovascular diseases. However, heart disease and cancer account for around 38 percent of all deaths. Although heart disease and cancer are the leading causes of death for both men and women, there are slight variations in the leading causes of death. For example, unintentional injury and suicide account for a larger portion of deaths among men than they do among women.

  3. Life expectancy of men in the United States 2022

    • statista.com
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    Statista, Life expectancy of men in the United States 2022 [Dataset]. https://www.statista.com/statistics/263731/life-expectancy-of-men-in-the-united-states/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the life expectancy of men at birth in the United States increased by 1.3 years (+1.77 percent) compared to 2021. In total, the life expectancy amounted to 74.8 years in 2022. This increase was preceded by a declining life expectancy.Life expectancy at birth refers to the number of years the average newborn is expected to live, providing that mortality patterns at the time of birth do not change thereafter.Find more statistics on other topics about the United States with key insights such as total fertility rate, infant mortality rate, and total life expectancy at birth.

  4. R

    Russia Employment: Male: Average Age

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). Russia Employment: Male: Average Age [Dataset]. https://www.ceicdata.com/en/russia/employment-by-age/employment-male-average-age
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    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, 2006 - Dec 1, 2017
    Area covered
    Russia
    Variables measured
    Employment
    Description

    Russia Employment: Male: Average Age data was reported at 40.400 Year in 2017. This records an increase from the previous number of 40.200 Year for 2016. Russia Employment: Male: Average Age data is updated yearly, averaging 39.150 Year from Dec 1992 (Median) to 2017, with 26 observations. The data reached an all-time high of 40.400 Year in 2017 and a record low of 38.100 Year in 1994. Russia Employment: Male: Average Age data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GB022: Employment: by Age.

  5. Median Age in the United States

    • hub.arcgis.com
    Updated Jun 26, 2018
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    Esri (2018). Median Age in the United States [Dataset]. https://hub.arcgis.com/maps/0a701fed9c5e4475964d00bfb1331bc2
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    Dataset updated
    Jun 26, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2023 and will be retired in December 2025. This map shows the median age of the U.S. population in 2022 in a multiscale map by country, state, county, ZIP Code, tract, and block group. In 2022, the median age of the population in the U.S. is 38 years of age.The popup is configured to include the following information for each geography level:Median age of total populationTotal population counts (by 5 year increments)Median age of male populationMale population counts (by 5 year increments)Median age of female populationFemale population counts (by 5 year increments)Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  6. N

    Normal, IL Population Breakdown by Gender and Age Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
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    Neilsberg Research (2024). Normal, IL Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/8e35ef39-c989-11ee-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
    Normal, Illinois
    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) 2018-2022 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 Normal by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Normal. The dataset can be utilized to understand the population distribution of Normal by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Normal. 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 Normal.

    Key observations

    Largest age group (population): Male # 20-24 years (5,421) | Female # 20-24 years (6,596). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Normal population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Normal is shown in the following column.
    • Population (Female): The female population in the Normal 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 Normal 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 Normal Population by Gender. You can refer the same here

  7. AGE Males by Broad Age Groups and Median Age NMHD 2000

    • catalog.data.gov
    • gstore.unm.edu
    • +2more
    Updated Dec 2, 2020
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Management Branch (Point of Contact) (2020). AGE Males by Broad Age Groups and Median Age NMHD 2000 [Dataset]. https://catalog.data.gov/dataset/age-males-by-broad-age-groups-and-median-age-nmhd-2000
    Explore at:
    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the current State House Districts for New Mexico as posted on the Census Bureau website for 2006.

  8. AGE Males by Broad Age Groups and Median Age SDs 2000

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Dec 2, 2020
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2020). AGE Males by Broad Age Groups and Median Age SDs 2000 [Dataset]. https://catalog.data.gov/dataset/age-males-by-broad-age-groups-and-median-age-sds-2000
    Explore at:
    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The New Mexico 2000 Unified School Districts layer was derived from the TIGER Line files from the US Census Bureau. The districts are clipped to the state boundaries, and available for download from the website.

  9. Average age of the population in Denmark 2014-2024, by gender

    • statista.com
    Updated Jul 4, 2024
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    Average age of the population in Denmark 2014-2024, by gender [Dataset]. https://www.statista.com/statistics/572953/average-age-of-the-population-in-denmark-by-gender/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Denmark
    Description

    The average age of women in Denmark is higher than that of men. As of January 1, 2024, the average age of Danish women was 43.3 years while the average age of men was 41.5 years. The average age of the population in Denmark has increased over the past 15 years.

  10. A

    Albania Population: Average: Age 30 to 34

    • ceicdata.com
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    Albania Population: Average: Age 30 to 34 [Dataset]. https://www.ceicdata.com/en/albania/population-by-gender-and-age-group/population-average-age-30-to-34
    Explore at:
    Dataset provided by
    CEICdata.com
    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, 2011 - Dec 1, 2022
    Area covered
    Albania
    Variables measured
    Population
    Description

    Albania Population: Average: Age 30 to 34 data was reported at 209.586 Person th in 2022. This records an increase from the previous number of 208.639 Person th for 2021. Albania Population: Average: Age 30 to 34 data is updated yearly, averaging 185.385 Person th from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 213.007 Person th in 2001 and a record low of 166.654 Person th in 2010. Albania Population: Average: Age 30 to 34 data remains active status in CEIC and is reported by Institute of Statistics. The data is categorized under Global Database’s Albania – Table AL.G001: Population: by Gender and Age Group.

  11. A

    Albania Population: Average: Male: Age 65 to 69

    • ceicdata.com
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    Albania Population: Average: Male: Age 65 to 69 [Dataset]. https://www.ceicdata.com/en/albania/population-by-gender-and-age-group/population-average-male-age-65-to-69
    Explore at:
    Dataset provided by
    CEICdata.com
    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, 2011 - Dec 1, 2022
    Area covered
    Albania
    Variables measured
    Population
    Description

    Albania Population: Average: Male: Age 65 to 69 data was reported at 76.043 Person th in 2022. This records an increase from the previous number of 73.358 Person th for 2021. Albania Population: Average: Male: Age 65 to 69 data is updated yearly, averaging 54.906 Person th from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 76.043 Person th in 2022 and a record low of 45.539 Person th in 2001. Albania Population: Average: Male: Age 65 to 69 data remains active status in CEIC and is reported by Institute of Statistics. The data is categorized under Global Database’s Albania – Table AL.G001: Population: by Gender and Age Group.

  12. T

    United States Retirement Age - Men

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated May 6, 2023
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    TRADING ECONOMICS (2023). United States Retirement Age - Men [Dataset]. https://tradingeconomics.com/united-states/retirement-age-men
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 6, 2023
    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
    Dec 31, 2009 - Dec 31, 2025
    Area covered
    United States
    Description

    Retirement Age Men in the United States increased to 66.83 Years in 2025 from 66.67 Years in 2024. This dataset provides - United States Retirement Age Men - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. 2010 Median Age in Puerto Rico

    • data.amerigeoss.org
    • caribbeangeoportal.com
    esri rest, html
    Updated Jun 1, 2020
    + more versions
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    Esri (2020). 2010 Median Age in Puerto Rico [Dataset]. https://data.amerigeoss.org/dataset/2010-median-age-in-puerto-rico
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    Jun 1, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Area covered
    Puerto Rico
    Description
    Important Note: This item is in mature support as of March 2020 and is no longer updated.

    This map shows the median age of the Puerto Rico population in 2010 in a multiscale map by country, county, ZIP Code, tract, and block group. According to the US Census, the median age in 2010 was 37 years of age.

    The pop-up is configured to include the following information for each geography level:
    • Median age of total population
    • Total population counts (by 5 year increments)
    • Median age of male population
    • Male population counts (by 5 year increments)
    • Median age of female population
    • Female population counts (by 5 year increments)
    The data shown is from the 2010 US Census and Census 2010 geographies. The map adds increasing level of detail as you zoom in, from country, to county, to ZIP Code, to tract, to block group data.

    Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.
  14. H

    Hong Kong SAR, China Labour Force: Three Months Average: Age 15 to 24

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China Labour Force: Three Months Average: Age 15 to 24 [Dataset]. https://www.ceicdata.com/en/hong-kong/labour-force-ghs-rpa/labour-force-three-months-average-age-15-to-24
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    Hong Kong
    Variables measured
    Labour Force
    Description

    Hong Kong Labour Force: Three Months Average: Age 15 to 24 data was reported at 282,400.000 Person in Jun 2018. This records an increase from the previous number of 277,200.000 Person for May 2018. Hong Kong Labour Force: Three Months Average: Age 15 to 24 data is updated monthly, averaging 400,200.000 Person from Dec 1981 (Median) to Jun 2018, with 349 observations. The data reached an all-time high of 736,200.000 Person in Dec 1981 and a record low of 277,200.000 Person in May 2018. Hong Kong Labour Force: Three Months Average: Age 15 to 24 data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.G014: Labour Force: GHS: RPA.

  15. Median age of the global labor force by gender1990-2025

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Median age of the global labor force by gender1990-2025 [Dataset]. https://www.statista.com/statistics/996549/median-age-global-labor-force-gender/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2019
    Area covered
    Worldwide
    Description

    This statistic depicts the median age of the global labor force from 1990 to 2025, by gender. In 2019, the median age of the male labor force was 38.7 years, compared to that of the female labor force, which was 39.1 years. In 2025, these figures are expected to be 39.5 years and 39.8 years respectively.

  16. u

    AGE Males by Broad Age Groups and Median Age NMHD 2000

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Feb 27, 2008
    + more versions
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    Earth Data Analysis Center (2008). AGE Males by Broad Age Groups and Median Age NMHD 2000 [Dataset]. http://gstore.unm.edu/apps/rgis/datasets/05ef2fbe-5bc3-4583-bb5b-30c19111ef00/metadata/FGDC-STD-001-1998.html
    Explore at:
    csv(5), json(5), shp(5), gml(5), xls(5), geojson(5), kml(5), zip(1)Available download formats
    Dataset updated
    Feb 27, 2008
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Feb 26, 2007
    Area covered
    New Mexico (35), West Bounding Coordinate -109.050173 East Bounding Coordinate -103.001964 North Bounding Coordinate 37.000232 South Bounding Coordinate 31.332301
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the current State House Districts for New Mexico as posted on the Census Bureau website for 2006.

  17. a

    2021 Male Population Average Age

    • hub.arcgis.com
    • ckcounts-chatham-kent.opendata.arcgis.com
    Updated Dec 21, 2018
    + more versions
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    Municipality of Chatham-Kent (2018). 2021 Male Population Average Age [Dataset]. https://hub.arcgis.com/maps/Chatham-Kent::2021-male-population-average-age
    Explore at:
    Dataset updated
    Dec 21, 2018
    Dataset authored and provided by
    Municipality of Chatham-Kent
    Area covered
    Description

    Feature layer generated from running the Enrich layer solution. Chatham-Kent_DA_2016 were enriched

  18. N

    Guy, AR Median Income by Age Groups Dataset: A Comprehensive Breakdown of...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Guy, AR Median Income by Age Groups Dataset: A Comprehensive Breakdown of Guy Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3d9dd24-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 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
    Guy
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 distribution of median household income among distinct age brackets of householders in Guy. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Guy. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Guy, householders within the 25 to 44 years age group have the highest median household income at $113,236, followed by those in the 45 to 64 years age group with an income of $58,570. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $51,412. Notably, householders within the under 25 years age group, had the lowest median household income at $34,491.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific 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 Guy median household income by age. You can refer the same here

  19. H

    Hong Kong SAR, China Labour Force: Three Months Average: Age 65 and Over

    • ceicdata.com
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    Hong Kong SAR, China Labour Force: Three Months Average: Age 65 and Over [Dataset]. https://www.ceicdata.com/en/hong-kong/labour-force-ghs-rpa/labour-force-three-months-average-age-65-and-over
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    Hong Kong
    Variables measured
    Labour Force
    Description

    Hong Kong Labour Force: Three Months Average: Age 65 and Over data was reported at 148,000.000 Person in Jun 2018. This records an increase from the previous number of 143,300.000 Person for May 2018. Hong Kong Labour Force: Three Months Average: Age 65 and Over data is updated monthly, averaging 48,300.000 Person from Dec 1981 (Median) to Jun 2018, with 349 observations. The data reached an all-time high of 148,000.000 Person in Jun 2018 and a record low of 37,500.000 Person in Nov 2001. Hong Kong Labour Force: Three Months Average: Age 65 and Over data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.G014: Labour Force: GHS: RPA.

  20. AGE Males by Broad Age Groups and Median Age COS 2000

    • catalog.data.gov
    • gstore.unm.edu
    • +2more
    Updated Dec 2, 2020
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    U.S. Department of Commerce, Bureau of the Census, Geography Division (Point of Contact) (2020). AGE Males by Broad Age Groups and Median Age COS 2000 [Dataset]. https://catalog.data.gov/dataset/age-males-by-broad-age-groups-and-median-age-cos-2000
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

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Statista (2024). Average age of French men and women 2010-2023 [Dataset]. https://www.statista.com/statistics/1172522/age-way-france-by-sex/
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Average age of French men and women 2010-2023

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Dataset updated
Jul 4, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
France
Description

The average age of the French population seems to be different according to gender, as told from the time line from 2010 to 2023. A general trend observed suggest that women had a higher average age over the years, compared to men. The average age of French men in 2023 (40.9 years) was lower than that of French women (43.7 years). This phenomenon could be explained by the fact that women have a higher life expectancy than men.

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