10 datasets found
  1. FiveThirtyEight Marriage Dataset

    • kaggle.com
    zip
    Updated Apr 26, 2019
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    FiveThirtyEight (2019). FiveThirtyEight Marriage Dataset [Dataset]. https://www.kaggle.com/fivethirtyeight/fivethirtyeight-marriage-dataset
    Explore at:
    zip(44474 bytes)Available download formats
    Dataset updated
    Apr 26, 2019
    Dataset authored and provided by
    FiveThirtyEighthttps://abcnews.go.com/538
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Content

    Marriage

    This folder contains data behind the story Marriage Isn’t Dead — Yet.

    Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via IPUMS USA.

    Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have ever been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is currently divorced, conditional on having ever been married.

    Variable names are as follows. Number in variable names are age ranges, so all_2534 is the marriage rate for everyone ages 25 to 34.

    HeaderDescription
    allTotal (or all men/women in sex-specific files)
    HSHigh school graduate or less (EDUCD < 65)
    SCSome college (EDUCD >= 65 & <= 100)
    BApBachelor's degree or more (EDUCD > 100)
    BAoBachelor's degree, no graduate degre (EDUCD > 100 & <= 113)
    GDGraduate degree (EDUCD > 113)
    WhiteNon-Hispanic white
    BlackBlack or African-American
    HispHispanic of any race
    NENew England (REGION == 11)
    MAMid-Atlantic (REGION == 12)
    MidwestMidwest (REGION == 21-23)
    SouthSouth (REGION == 31-34)
    MountainMountain West (REGION == 41)
    PacificPacific (REGION == 42)
    poorFamily income in lowest 25%
    midFamily income in middle 50%
    richFamily income in top 25%
    workEmployed 50+ weeks prior year
    noworkNot employed at least 50 weeks prior year
    nokids_allNo own children living at home
    kids_allAt least one own child living at home

    Context

    This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using GitHub's API and Kaggle's API.

    This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

  2. Mean age and median age at divorce and at marriage, for persons who divorced...

    • www150.statcan.gc.ca
    • datasets.ai
    • +1more
    Updated Mar 9, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Mean age and median age at divorce and at marriage, for persons who divorced in a given year, by sex or gender [Dataset]. http://doi.org/10.25318/3910005201-eng
    Explore at:
    Dataset updated
    Mar 9, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Mean age and median age at divorce and at marriage, for persons who divorced in a given year, by sex or gender and place of occurrence, 1970 to most recent year.

  3. Estimates of population as of July 1st, by marital status or legal marital...

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Nov 9, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Estimates of population as of July 1st, by marital status or legal marital status, age and sex [Dataset]. http://doi.org/10.25318/1710006001-eng
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    Dataset updated
    Nov 9, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Annual population estimates by marital status or legal marital status, age and sex, Canada, provinces and territories.

  4. Number of persons who divorced in a given year and divorce rate per 1,000...

    • www150.statcan.gc.ca
    • canwin-datahub.ad.umanitoba.ca
    • +2more
    Updated Mar 9, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Number of persons who divorced in a given year and divorce rate per 1,000 married persons, by age group and sex or gender [Dataset]. http://doi.org/10.25318/3910005301-eng
    Explore at:
    Dataset updated
    Mar 9, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of persons who divorced in a given year and age-specific divorce rates per 1,000 legally married persons, by sex or gender and place of occurrence, 1970 to most recent year.

  5. Marriages and partnership registrations; key figures

    • cbs.nl
    • data.overheid.nl
    • +1more
    xml
    Updated Jun 13, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Marriages and partnership registrations; key figures [Dataset]. https://www.cbs.nl/en-gb/figures/detail/37772eng
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    xmlAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    1950 - 2024
    Area covered
    The Netherlands
    Description

    This table includes data on contracted marriages and registered partnerships among the Dutch population.

    The following information is available: - Marriages by sex of the partners. - Marrying persons by sex and marital status before marriage. - Average age at marriage by sex and marital status. - Average number of contracted marriages by sex. - Partnership registrations by sex of the partners.

    Data available from: 1950

    Status of the figures: All figures in this publication are final data.

    Changes per 13 June 2025: Final figures of 2024 have been added.

    When will new figures be published? Figures of 2025 will be added in the 2nd quarter of 2026.

  6. Marriages, by type of marriage and month, inactive

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Dec 17, 2015
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    Government of Canada, Statistics Canada (2015). Marriages, by type of marriage and month, inactive [Dataset]. http://doi.org/10.25318/3910000901-eng
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    Dataset updated
    Dec 17, 2015
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and percentage of marriages, by type of marriage (opposite-sex, same-sex), month of marriage, and place of occurrence, 2000 to 2004.

  7. Data from: Violence Against Women & Girls

    • kaggle.com
    zip
    Updated Sep 12, 2022
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    Aman Chauhan (2022). Violence Against Women & Girls [Dataset]. https://www.kaggle.com/datasets/whenamancodes/violence-against-women-girls
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    zip(90376 bytes)Available download formats
    Dataset updated
    Sep 12, 2022
    Authors
    Aman Chauhan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    About Violence Against Women & Girls

    The Demographic and Health Surveys (DHS) Program exists to advance the global understanding of health and population trends in developing countries.

    The UN describes violence against women and girls (VAWG) as: “One of the most widespread, persistent, and devastating human rights violations in our world today. It remains largely unreported due to the impunity, silence, stigma, and shame surrounding it.”

    In general terms, it manifests itself in physical, sexual, and psychological forms, encompassing: • intimate partner violence (battering, psychological abuse, marital rape, femicide) • sexual violence and harassment (rape, forced sexual acts, unwanted sexual advances, child sexual abuse, forced marriage, street harassment, stalking, cyber-harassment), human trafficking (slavery, sexual exploitation) • female genital mutilation • child marriage

    About The Data

    The data was taken from a survey of men and women in African, Asian, and South American countries, exploring the attitudes and perceived justifications given for committing acts of violence against women. The data also explores different sociodemographic groups that the respondents belong to, including: Education Level, Marital status, Employment, and Age group.

    It is, therefore, critical that the countries where these views are widespread, prioritize public awareness campaigns, and access to education for women and girls, to communicate that violence against women and girls is never acceptable or justifiable.

    FieldDefinition
    Record IDNumeric value unique to each question by country
    CountryCountry in which the survey was conducted
    GenderWhether the respondents were Male or Female
    Demographics QuestionRefers to the different types of demographic groupings used to segment respondents – marital status, education level, employment status, residence type, or age
    Demographics ResponseRefers to demographic segment into which the respondent falls (e.g. the age groupings are split into 15-24, 25-34, and 35-49)
    Survey YearYear in which the Demographic and Health Survey (DHS) took place. “DHS surveys are nationally-representative household surveys that provide data for a wide range of monitoring and impact evaluation indicators in the areas of population, health and nutrition. Standard DHS Surveys have large sample sizes (usually between 5,000 and 30,000 households) and typically are conducted around every 5 years, to allow comparisons over time.”
    Value% of people surveyed in the relevant group who agree with the question (e.g. the percentage of women aged 15-24 in Afghanistan who agree that a husband is justified in hitting or beating his wife if she burns the food)

    Question | Respondents were asked if they agreed with the following statements: - A husband is justified in hitting or beating his wife if she burns the food - A husband is justified in hitting or beating his wife if she argues with him - A husband is justified in hitting or beating his wife if she goes out without telling him - A husband is justified in hitting or beating his wife if she neglects the children - A husband is justified in hitting or beating his wife if she refuses to have sex with him - A husband is justified in hitting or beating his wife for at least one specific reason

    More - Find More Exciting🙀 Datasets Here - An Upvote👍 A Dayᕙ(`▿´)ᕗ , Keeps Aman Hurray Hurray..... ٩(˘◡˘)۶Haha

  8. d

    Population (15 Years & Above) by Sex, Age Groups and Marital Status - Census...

    • data.gov.bh
    csv, excel, json
    Updated Jun 7, 2023
    + more versions
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    (2023). Population (15 Years & Above) by Sex, Age Groups and Marital Status - Census 2020 [Dataset]. https://www.data.gov.bh/explore/dataset/population-15-years-and-above-by-sex-age-groups-and-marital-status-census-2020/
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jun 7, 2023
    Description

    Population (15 Years & Above) by Sex, Age Groups and Marital Status

  9. Births in England and Wales: summary tables

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 23, 2024
    + more versions
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    Office for National Statistics (2024). Births in England and Wales: summary tables [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/livebirths/datasets/birthsummarytables
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 23, 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

    Live births and stillbirths annual summary statistics, by sex, age of mother, whether within marriage or civil partnership, percentage of non-UK-born mothers, birth rates and births by month and mothers' area of usual residence.

  10. Live births, by marital status of mother

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Sep 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Live births, by marital status of mother [Dataset]. http://doi.org/10.25318/1310041901-eng
    Explore at:
    Dataset updated
    Sep 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and percentage of live births, by marital status of mother, 1991 to most recent year.

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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FiveThirtyEight (2019). FiveThirtyEight Marriage Dataset [Dataset]. https://www.kaggle.com/fivethirtyeight/fivethirtyeight-marriage-dataset
Organization logo

FiveThirtyEight Marriage Dataset

Explore Data from FiveThirtyEight

Explore at:
zip(44474 bytes)Available download formats
Dataset updated
Apr 26, 2019
Dataset authored and provided by
FiveThirtyEighthttps://abcnews.go.com/538
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

Content

Marriage

This folder contains data behind the story Marriage Isn’t Dead — Yet.

Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via IPUMS USA.

Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have ever been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is currently divorced, conditional on having ever been married.

Variable names are as follows. Number in variable names are age ranges, so all_2534 is the marriage rate for everyone ages 25 to 34.

HeaderDescription
allTotal (or all men/women in sex-specific files)
HSHigh school graduate or less (EDUCD < 65)
SCSome college (EDUCD >= 65 & <= 100)
BApBachelor's degree or more (EDUCD > 100)
BAoBachelor's degree, no graduate degre (EDUCD > 100 & <= 113)
GDGraduate degree (EDUCD > 113)
WhiteNon-Hispanic white
BlackBlack or African-American
HispHispanic of any race
NENew England (REGION == 11)
MAMid-Atlantic (REGION == 12)
MidwestMidwest (REGION == 21-23)
SouthSouth (REGION == 31-34)
MountainMountain West (REGION == 41)
PacificPacific (REGION == 42)
poorFamily income in lowest 25%
midFamily income in middle 50%
richFamily income in top 25%
workEmployed 50+ weeks prior year
noworkNot employed at least 50 weeks prior year
nokids_allNo own children living at home
kids_allAt least one own child living at home

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

  • Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

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