4 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. Census Income Data Set

    • kaggle.com
    zip
    Updated Dec 18, 2019
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    Victor Ivamoto (2019). Census Income Data Set [Dataset]. https://www.kaggle.com/vivamoto/us-adult-income-update
    Explore at:
    zip(1334930 bytes)Available download formats
    Dataset updated
    Dec 18, 2019
    Authors
    Victor Ivamoto
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Context

    This data set come from UCI Machine Learning Repository at https://archive.ics.uci.edu/ml/datasets/census+income

    Data Set Information:

    Prediction task is to determine whether a person makes over 50K a year from the analysis of 13 predictors.

    Content

    age: continuous. workclass: Private, Self-emp-not-inc, Self-emp-inc, Federal-gov, Local-gov, State-gov, Without-pay, Never-worked. fnlwgt: continuous. education: Bachelors, Some-college, 11th, HS-grad, Prof-school, Assoc-acdm, Assoc-voc, 9th, 7th-8th, 12th, Masters, 1st-4th, 10th, Doctorate, 5th-6th, Preschool. education-num: continuous. marital-status: Married-civ-spouse, Divorced, Never-married, Separated, Widowed, Married-spouse-absent, Married-AF-spouse. occupation: Tech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces. relationship: Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. race: White, Asian-Pac-Islander, Amer-Indian-Eskimo, Other, Black. sex: Female, Male. capital-gain: continuous. capital-loss: continuous. hours-per-week: continuous. native-country: United-States, Cambodia, England, Puerto-Rico, Canada, Germany, Outlying-US(Guam-USVI-etc), India, Japan, Greece, South, China, Cuba, Iran, Honduras, Philippines, Italy, Poland, Jamaica, Vietnam, Mexico, Portugal, Ireland, France, Dominican-Republic, Laos, Ecuador, Taiwan, Haiti, Columbia, Hungary, Guatemala, Nicaragua, Scotland, Thailand, Yugoslavia, El-Salvador, Trinadad&Tobago, Peru, Hong, Holand-Netherlands.

    Acknowledgements

    Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0))

    Description of fnlwgt (final weight)

    The weights on the CPS files are controlled to independent estimates of the civilian non-institutional population of the US. These are prepared monthly for us by Population Division here at the Census Bureau. We use 3 sets of controls.

    These are:

    1. A single cell estimate of the population 16+ for each state.
    2. Controls for Hispanic Origin by age and sex.
    3. Controls by Race, age and sex.

    We use all three sets of controls in our weighting program and "rake" through them 6 times so that by the end we come back to all the controls we used.

    The term estimate refers to population totals derived from CPS by creating "weighted tallies" of any specified socio-economic characteristics of the population.

    People with similar demographic characteristics should have similar weights. There is one important caveat to remember about this statement. That is that since the CPS sample is actually a collection of 51 state samples, each with its own probability of selection, the statement only applies within state.

    Summary

    Data Set Characteristics: Multivariate Area: Social Attribute Characteristics: Categorical, Integer Number of Attributes: 14 Date Donated: 1996-05-01 Associated Tasks: Classification Missing Values? Yes

  3. England and Wales Census 2021 - Who UK armed forces veterans lived with:...

    • statistics.ukdataservice.ac.uk
    xlsx
    Updated Jul 6, 2023
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2023). England and Wales Census 2021 - Who UK armed forces veterans lived with: household residents by household composition and family status, England and Wales [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/england-and-wales-census-2021-who-uk-armed-forces-veterans-lived-with-household-residents
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 6, 2023
    Dataset provided by
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    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, England, Wales
    Description

    This dataset provides information on Who UK armed forces veterans lived with, including household residents by household composition and family status, Census 2021.

    Child family status

    Identifies whether a person is living in a family with a child and has specific categories for those who have children based on the relationship of the parent couple, those not in a family and those who are children in a family are grouped together. Categories were: • has children (in a lone parent family, married couple family, civil partnership family or cohabiting couple family) • does not have children or is a child within a family • living in a communal establishment

    Dependent Child

    A dependent child is a person aged 0 to 15 years in a household or a person aged 16 to 18 years who is in full-time education and lives in a family with their parent, parents, grandparent or grandparents. It does not include any person aged 16 to 18 years who has a spouse, partner or child living in the household

    Ethnic group and high-level ethnic group

    The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance. Respondents could choose one out of 19 tick-box response categories, including write-in response options. High-level ethnic group refers to the first stage of the two-stage ethnic group question. High-level groups refer to the first stage where the respondent identifies through one of the following options: "Asian, Asian British, Asian Welsh" "Black, Black British, Black Welsh, Caribbean or African" "Mixed or Multiple" "White" "Other ethnic group"

    Family

    A family is a group of people who are either: • married, civil partnered or cohabiting couple with or without children (the children do not need to belong to both members of the couple) • a lone parent with children • a married, civil partnered or cohabiting couple with grandchildren but where the parents of those grandchildren are not present • a single or couple grandparent with grandchildren but where the parents of those grandchildren are not present

    Family status

    Denotes whether a person is considered to be in a family and the place a person holds within that family. Categories were: • not in a family • in a couple family (as a member of the couple or a dependent or non-dependent child of one or both members of the couple) • in a lone parent family (as a parent or a dependent or non-dependent child of the parent) • living in a communal establishment

    Household

    A household is defined as one person living alone or a group of people (not necessarily related) living at the same address who share cooking facilities and a living room or dining area. This includes all sheltered accommodation units in an establishment and all people living in caravans on any type of site that is their usual residence. A household must contain at least one person whose place of usual residence is at the address. A group of short-term residents living together is not classified as a household, and neither is a group of people at an address where only visitors are staying.

    Household size

    The number of people in the household. Visitors staying at an address do not count to that household’s size. Living arrangements This classification combines responses to the Census question on marital and civil partnership status with information about whether or not a person is living in a couple. This topic is only applicable to people in households. Living arrangements differs from marital and civil partnership status because cohabiting takes priority over other categories. For example, if a person is divorced and cohabiting, then in results for living arrangements they are classified as cohabiting.

    UK armed forces veteran

    People who have previously served in the UK armed forces. This includes those who have served for at least one day in HM’s Armed Forces, either regular or reserves, or Merchant Mariners who have seen duty on legally defined military operations. It does not include those who have left and since re-entered the regular or reserve UK armed forces, those who have only served in foreign armed forces, or those who have served in the UK armed forces and are currently living outside of England and Wales.

    Usual resident

    A usual resident is anyone who on Census Day, 21 March 2021, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

  4. England and Wales Census 2021 - Where UK armed forces veterans lived: usual...

    • statistics.ukdataservice.ac.uk
    xlsx
    Updated Jul 6, 2023
    Share
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2023). England and Wales Census 2021 - Where UK armed forces veterans lived: usual residents, aged 16 years and over by whether they have previously served in the UK armed forces, England and Wales [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/england-and-wales-census-2021-where-uk-armed-forces-veterans-lived
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 6, 2023
    Dataset provided by
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    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, England, Wales
    Description

    This dataset provides information on where UK armed forces veterans lived: usual residents, aged 16 years and over by whether they have previously served in the UK armed forces in England and Wales.

    Child family status

    Identifies whether a person is living in a family with a child and has specific categories for those who have children based on the relationship of the parent couple, those not in a family and those who are children in a family are grouped together. Categories were: • has children (in a lone parent family, married couple family, civil partnership family or cohabiting couple family) • does not have children or is a child within a family • living in a communal establishment

    Dependent Child

    A dependent child is a person aged 0 to 15 years in a household or a person aged 16 to 18 years who is in full-time education and lives in a family with their parent, parents, grandparent or grandparents. It does not include any person aged 16 to 18 years who has a spouse, partner or child living in the household

    Ethnic group and high-level ethnic group

    The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance. Respondents could choose one out of 19 tick-box response categories, including write-in response options. High-level ethnic group refers to the first stage of the two-stage ethnic group question. High-level groups refer to the first stage where the respondent identifies through one of the following options: "Asian, Asian British, Asian Welsh" "Black, Black British, Black Welsh, Caribbean or African" "Mixed or Multiple" "White" "Other ethnic group"

    Family

    A family is a group of people who are either: • married, civil partnered or cohabiting couple with or without children (the children do not need to belong to both members of the couple) • a lone parent with children • a married, civil partnered or cohabiting couple with grandchildren but where the parents of those grandchildren are not present • a single or couple grandparent with grandchildren but where the parents of those grandchildren are not present

    Family status

    Denotes whether a person is considered to be in a family and the place a person holds within that family. Categories were: • not in a family • in a couple family (as a member of the couple or a dependent or non-dependent child of one or both members of the couple) • in a lone parent family (as a parent or a dependent or non-dependent child of the parent) • living in a communal establishment

    Household

    A household is defined as one person living alone or a group of people (not necessarily related) living at the same address who share cooking facilities and a living room or dining area. This includes all sheltered accommodation units in an establishment and all people living in caravans on any type of site that is their usual residence. A household must contain at least one person whose place of usual residence is at the address. A group of short-term residents living together is not classified as a household, and neither is a group of people at an address where only visitors are staying.

    Household size

    The number of people in the household. Visitors staying at an address do not count to that household’s size. Living arrangements This classification combines responses to the Census question on marital and civil partnership status with information about whether or not a person is living in a couple. This topic is only applicable to people in households. Living arrangements differs from marital and civil partnership status because cohabiting takes priority over other categories. For example, if a person is divorced and cohabiting, then in results for living arrangements they are classified as cohabiting.

    UK armed forces veteran

    People who have previously served in the UK armed forces. This includes those who have served for at least one day in HM’s Armed Forces, either regular or reserves, or Merchant Mariners who have seen duty on legally defined military operations. It does not include those who have left and since re-entered the regular or reserve UK armed forces, those who have only served in foreign armed forces, or those who have served in the UK armed forces and are currently living outside of England and Wales.

    Usual resident

    A usual resident is anyone who on Census Day, 21 March 2021, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

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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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