100+ datasets found
  1. N

    National City, CA Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
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    Neilsberg Research (2025). National City, CA 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/e1f3f16e-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
    National City, California
    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 National City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for National City. The dataset can be utilized to understand the population distribution of National City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in National City. 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 National City.

    Key observations

    Largest age group (population): Male # 30-34 years (2,482) | Female # 10-14 years (2,264). 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 National City population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the National City is shown in the following column.
    • Population (Female): The female population in the National City 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 National City 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 National City Population by Gender. You can refer the same here

  2. e

    Annual Abstract of Statistics

    • data.europa.eu
    • data.wu.ac.at
    html
    Updated Feb 1, 2001
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    Office for National Statistics (2001). Annual Abstract of Statistics [Dataset]. https://data.europa.eu/data/datasets/annual_abstract_of_statistics
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    Office for National Statistics
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Contains statistics on the UK's economy, industry, society and demography presented in easy to read tables and backed up with explanatory notes and definitions. It covers, among others, the following areas: area; parliamentary elections; defence; population and vital statistics; education; labour market; expenditure and wealth; health; crime and justice; lifestyles; environment, housing; transport and communications; government finance; agriculture, fisheries and food; production; banking and insurance and service industry.

    Source agency: Office for National Statistics

    Designation: National Statistics

    Language: English

    Alternative title: AA

  3. United States Exports: 1-Digit: Malaysia (MY)

    • ceicdata.com
    Updated Mar 29, 2018
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    United States Exports: 1-Digit: Malaysia (MY) [Dataset]. https://www.ceicdata.com/en/united-states/trade-statistics-census-basis-by-country-exports-fas
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    Dataset updated
    Mar 29, 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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Merchandise Trade
    Description

    Exports: 1-Digit: Malaysia (MY) data was reported at 1.049 USD bn in May 2018. This records a decrease from the previous number of 1.097 USD bn for Apr 2018. Exports: 1-Digit: Malaysia (MY) data is updated monthly, averaging 845.764 USD mn from Jan 1985 (Median) to May 2018, with 401 observations. The data reached an all-time high of 1.349 USD bn in Mar 2011 and a record low of 92.800 USD mn in Dec 1985. Exports: 1-Digit: Malaysia (MY) data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA011: Trade Statistics: Census Basis: By Country: Exports: FAS.

  4. National Energy Efficiency Data-Framework (NEED) report: summary of analysis...

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 11, 2023
    + more versions
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    Department for Business, Energy & Industrial Strategy (2023). National Energy Efficiency Data-Framework (NEED) report: summary of analysis 2021 [Dataset]. https://www.gov.uk/government/statistics/national-energy-efficiency-data-framework-need-report-summary-of-analysis-2021
    Explore at:
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Business, Energy & Industrial Strategy
    Description

    The National Energy Efficiency Data-Framework (NEED) was set up to provide a better understanding of energy use and energy efficiency in domestic and non-domestic buildings in Great Britain. The data framework matches data about a property together - including energy consumption and energy efficiency measures installed - at household level.

    11 August 2023 Error notice: revisions to the June 2021 Domestic NEED annual report

    We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The revisions are summarised here:

    Error 1: Local authority consumption estimates

    Error 2: Some properties incorrectly excluded from the Scotland multiple attributes tables

    • Extent of the error: These corrections primarily affect the number in sample column for all years as some properties were incorrectly excluded from the consumption estimates. There have also been revisions to the mean, median, upper and lower quartiles. Using 2019 as an example, around 80% of the updated mean and median values are within 300 kWh of what was previously published.
    • Years affected: 2017-2019
    • Countries affected: Scotland
    • Data tables affected: Multiple attributes tables: Scotland, 2019 (all tables)

    4 August 2021 Error notice: revisions to the June 2021 Domestic NEED annual report

    We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The impact of energy efficiency measures analysis remains unchanged. The revisions are summarised here:

    Error 1: Some properties incorrectly excluded from the 2019 gas consumption estimates

  5. National DNA Database statistics

    • s3.amazonaws.com
    • gov.uk
    Updated Oct 6, 2020
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    Home Office (2020). National DNA Database statistics [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/166/1663113.html
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    Dataset updated
    Oct 6, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    These statistics include:

    • crime matches
    • subject samples
    • NDNAD breakdown
    • gender
    • ethnic appearance
    • age

    We are currently unable to provide figures on matches made against profiles on the National DNA Database.

    https://webarchive.nationalarchives.gov.uk/20200702201509/https://www.gov.uk/government/statistics/national-dna-database-statistics" class="govuk-link">Statistics from Q1 2013 to Q4 2017 to 2018 are available on the National Archives.

    Please note that figures for Q2 2014 to 2015 are unavailable. This is due to technical issues with the management information system.

  6. S

    Singapore SG: Refugee Population: by Country or Territory of Origin

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Singapore SG: Refugee Population: by Country or Territory of Origin [Dataset]. https://www.ceicdata.com/en/singapore/population-and-urbanization-statistics/sg-refugee-population-by-country-or-territory-of-origin
    Explore at:
    Dataset updated
    Mar 15, 2018
    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, 2005 - Dec 1, 2016
    Area covered
    Singapore
    Variables measured
    Population
    Description

    Singapore SG: Refugee Population: by Country or Territory of Origin data was reported at 33.000 Person in 2016. This records a decrease from the previous number of 55.000 Person for 2015. Singapore SG: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 36.000 Person from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 116.000 Person in 2007 and a record low of 1.000 Person in 1993. Singapore SG: Refugee Population: by Country or Territory of Origin data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;

  7. i

    Grant Giving Statistics for 1776 Nation Inc

    • instrumentl.com
    Updated Jul 8, 2021
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    (2021). Grant Giving Statistics for 1776 Nation Inc [Dataset]. https://www.instrumentl.com/990-report/1776-nation-inc
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    Dataset updated
    Jul 8, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of 1776 Nation Inc

  8. F

    Population Level - White

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Population Level - White [Dataset]. https://fred.stlouisfed.org/series/LNU00000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Population Level - White (LNU00000003) from Jan 1954 to Jun 2025 about civilian, white, population, and USA.

  9. Nursing Workforce Survey Data (National Sample Survey of Registered Nurses)

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Jul 26, 2023
    + more versions
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    Health Resources and Services Administration (2023). Nursing Workforce Survey Data (National Sample Survey of Registered Nurses) [Dataset]. https://catalog.data.gov/dataset/nursing-workforce-survey-data-national-sample-survey-of-registered-nurses
    Explore at:
    Dataset updated
    Jul 26, 2023
    Dataset provided by
    Health Resources and Services Administrationhttp://www.hrsa.gov/
    Description

    The National Sample Survey of Registered Nurses (NSSRN) Download makes data from the survey readily available to users in a one-stop download. The Survey has been conducted approximately every four years since 1977. For each survey year, HRSA has prepared two Public Use File databases in flat ASCII file format without delimiters. The 2008 data are also offerred in SAS and SPSS formats. Information likely to point to an individual in a sparsely-populated county has been withheld. General Public Use Files are State-based and provide information on nurses without identifying the County and Metropolitan Area in which they live or work. County Public Use Files provide most, but not all, the same information on the nurse from the General Public Use File, and also identifies the County and Metropolitan Areas in which the nurses live or work. NSSRN data are to be used for research purposes only and may not be used in any manner to identify individual respondents.

  10. Largest female population share 2023, by country

    • statista.com
    Updated Jun 25, 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
    Jun 25, 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 ** percent. Moldova followed behind with ** percent. Among the countries with the largest share of women in the total population, several were former Soviet-states or were located in Eastern Europe. By contrast, Qatar, the United Arab Emirates, and Oman had some of the highest proportions of men in their populations.

  11. Willingness to share personal data APAC 2021, by country

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Willingness to share personal data APAC 2021, by country [Dataset]. https://www.statista.com/statistics/1249046/apac-willingness-to-share-personal-data-by-country/
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Feb 2021
    Area covered
    Asia–Pacific
    Description

    According to a survey from 2021, around 55 percent of the respondents from India were willing to share personal data. On the other hand, among the respondents from Japan, only 14 percent were willing to share personal data.

  12. A

    Nigeria - Subnational Population Statistics

    • data.amerigeoss.org
    csv, pdf, xlsx
    Updated May 15, 2025
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    UN Humanitarian Data Exchange (2025). Nigeria - Subnational Population Statistics [Dataset]. https://data.amerigeoss.org/mn_MN/dataset/nigeria-2016-population-data
    Explore at:
    csv(15070), csv(927), xlsx(1672647), pdf(1672575), xlsx(141524), xlsx(30671)Available download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Nigeria
    Description

    Nigeria administrative level 0-1 sex and age disaggregated 2022 population statistics projected from 2006 Census.

    REFERENCE YEAR: 2022

    These tables are suitable for database or GIS linkage to the Nigeria - Subnational Administrative Boundaries administrative level 0 to 2 and senatorial district shapefiles

    See caveat.

  13. F

    Infra-Annual Labor Statistics: Employees Total for Denmark

    • fred.stlouisfed.org
    json
    Updated Apr 15, 2025
    + more versions
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    (2025). Infra-Annual Labor Statistics: Employees Total for Denmark [Dataset]. https://fred.stlouisfed.org/series/LFESEETTDKQ647N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 15, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Denmark
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Employees Total for Denmark (LFESEETTDKQ647N) from Q1 1995 to Q4 2024 about Denmark and employment.

  14. F

    Unemployment Rate - With No Disability, 16 Years and over

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Unemployment Rate - With No Disability, 16 Years and over [Dataset]. https://fred.stlouisfed.org/series/LNU04074593
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Unemployment Rate - With No Disability, 16 Years and over (LNU04074593) from Jun 2008 to Jun 2025 about disability, 16 years +, household survey, unemployment, rate, and USA.

  15. Statistical Performance Indicators

    • datacatalog1.worldbank.org
    api, csv, excel +2
    Updated Mar 24, 2021
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    World Bank Group (2021). Statistical Performance Indicators [Dataset]. https://datacatalog1.worldbank.org/search/dataset/0037996/Statistical-Performance-Indicators
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    utf-8, csv, excel, api, stataAvailable download formats
    Dataset updated
    Mar 24, 2021
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

    https://datacatalog1.worldbank.org/public-licenses?fragment=cchttps://datacatalog1.worldbank.org/public-licenses?fragment=cc

    Description

    National statistical systems are facing significant challenges. These challenges arise from increasing demands for high quality and trustworthy data to guide decision making, coupled with the rapidly changing landscape of the data revolution. To help create a mechanism for learning amongst national statistical systems, the World Bank has developed improved Statistical Performance Indicators (SPI) to monitor the statistical performance of countries. The SPI focuses on five key dimensions of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. This will replace the Statistical Capacity Index (SCI) that the World Bank has regularly published since 2004.


    The SPI focus on five key pillars of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. The SPI are composed of more than 50 indicators and contain data for 186 countries. This set of countries covers 99 percent of the world population. The data extend from 2016-2023, with some indicators going back to 2004.


    For more information, consult the academic article published in the journal Scientific Data. https://www.nature.com/articles/s41597-023-01971-0.

  16. National Statistics Postcode Lookup (November 2021) User Guide ODT

    • hub.arcgis.com
    • geoportal.statistics.gov.uk
    • +1more
    Updated Jul 20, 2022
    + more versions
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    Office for National Statistics (2022). National Statistics Postcode Lookup (November 2021) User Guide ODT [Dataset]. https://hub.arcgis.com/datasets/170ad4f3871a475fa7b0a888769057a0
    Explore at:
    Dataset updated
    Jul 20, 2022
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This User Guide contains information about the NSPL including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. (File size - 226 KB)

  17. Hydrographic and Impairment Statistics Database: THRB

    • catalog.data.gov
    • datasets.ai
    Updated Jun 5, 2024
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    National Park Service (2024). Hydrographic and Impairment Statistics Database: THRB [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-thrb
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  18. Mid-year population estimates of the very old, including centenarians: UK

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Mar 18, 2025
    + more versions
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    Mid-year population estimates of the very old, including centenarians: UK [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/ageing/datasets/midyearpopulationestimatesoftheveryoldincludingcentenariansunitedkingdom
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Annual mid-year population estimates for those aged 90 years and over by sex and single year of age (90 to 104 years), and the 105 years and over age group, UK.

  19. Algeria NOS Forecast: Population: Age 75 to 79

    • ceicdata.com
    Updated Feb 8, 2018
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    CEICdata.com (2018). Algeria NOS Forecast: Population: Age 75 to 79 [Dataset]. https://www.ceicdata.com/en/algeria/population-by-sex-and-age-forecast-national-office-of-statistics
    Explore at:
    Dataset updated
    Feb 8, 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
    Jun 1, 2029 - Jun 1, 2040
    Area covered
    Algeria
    Variables measured
    Population
    Description

    NOS Forecast: Population: Age 75 to 79 data was reported at 1,363,000.000 Person in 2040. This records an increase from the previous number of 1,301,000.000 Person for 2039. NOS Forecast: Population: Age 75 to 79 data is updated yearly, averaging 822,000.000 Person from Jun 2017 (Median) to 2040, with 24 observations. The data reached an all-time high of 1,363,000.000 Person in 2040 and a record low of 489,626.000 Person in 2017. NOS Forecast: Population: Age 75 to 79 data remains active status in CEIC and is reported by National Office of Statistics. The data is categorized under Global Database’s Algeria – Table DZ.G002: Population: by Sex and Age: Forecast: National Office of Statistics.

  20. Children's well-being measures

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Mar 22, 2024
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    Office for National Statistics (2024). Children's well-being measures [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/datasets/childrenswellbeingmeasures
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Mar 22, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The latest data for the measures of children’s well-being, complementing the UK Measures of National Well-being.

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Neilsberg Research (2025). National City, CA 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/e1f3f16e-f25d-11ef-8c1b-3860777c1fe6/

National City, CA Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition

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

Key observations

Largest age group (population): Male # 30-34 years (2,482) | Female # 10-14 years (2,264). 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 National City population analysis. Total expected values are 18 and are define above in the age groups section.
  • Population (Male): The male population in the National City is shown in the following column.
  • Population (Female): The female population in the National City 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 National City 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 National City Population by Gender. You can refer the same here

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