5 datasets found
  1. d

    Replication Data for: A research note on the prevalence of housing eviction...

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    • dataverse.harvard.edu
    • +1more
    Updated Nov 22, 2023
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    Lundberg, Ian; Donnelly, Louis (2023). Replication Data for: A research note on the prevalence of housing eviction among children born in American cities [Dataset]. http://doi.org/10.7910/DVN/BVWFG1
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Lundberg, Ian; Donnelly, Louis
    Description

    A growing body of research suggests that housing eviction is more common than previously recognized and may play an important role in the reproduction of poverty. The proportion of children affected by housing eviction, however, remains largely unknown. We estimate that 1 in 7 children born in large American cities in 1998–2000 experienced at least one eviction for nonpayment of rent or mortgage between birth and age 15. Rates of eviction were substantial across all cities and demographic groups studied, but children from disadvantaged backgrounds were most likely to experience eviction. Among those born into deep poverty, we estimate that about 1 in 4 were evicted by age 15. Given prior evidence that forced moves have negative consequences for children, we conclude that the high prevalence and social stratification of housing eviction are sufficient to play an important role in the reproduction of poverty and warrant greater policy attention.

  2. World Bank - Age and Population

    • hub.arcgis.com
    Updated Jan 11, 2012
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    Esri U.S. Federal Datasets (2012). World Bank - Age and Population [Dataset]. https://hub.arcgis.com/datasets/5b39485c49c44e6b84af126478a4930f_2/data?geometry=-180%2C-89.982%2C180%2C62.747
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    Dataset updated
    Jan 11, 2012
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    This map service, derived from World Bank data, shows various characteristics of the Health topic. The World Bank Group provides financing, state-of-the-art analysis, and policy advice to help countries expand access to quality, affordable health care; protects people from falling into poverty or worsening poverty due to illness; and promotes investments in all sectors that form the foundation of healthy societies.Age Dependency Ratio: Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. Data from 1960 – 2012.Age Dependency Ratio Old: Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. Data from 1960 – 2012.Birth/Death Rate: Crude birth/death rate indicates the number of births/deaths occurring during the year, per
    1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. Data spans from 1960 – 2008.Total Fertility: Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates. Data shown is for 1960 - 2008.Population Growth: Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage.
    Population is based on the de facto definition of population, which
    counts all residents regardless of legal status or citizenship--except
    for refugees not permanently settled in the country of asylum, who are
    generally considered part of the population of the country of origin. Data spans from 1960 – 2009.Life Expectancy: Life expectancy at birth indicates the number of years a newborn infant
    would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. Data spans from 1960 – 2008.Population Female: Female population is the percentage of the population that is female. Population is based on the de facto definition of population. Data from 1960 – 2009.For more information, please visit: World Bank Open Data. _Other International User Community content that may interest you World Bank World Bank Age World Bank Health

  3. Age Dependency Ratio

    • hub.arcgis.com
    Updated Jan 11, 2012
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    Esri U.S. Federal Datasets (2012). Age Dependency Ratio [Dataset]. https://hub.arcgis.com/datasets/5b39485c49c44e6b84af126478a4930f
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    Dataset updated
    Jan 11, 2012
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    This map service, derived from World Bank data, shows various characteristics of the Health topic. The World Bank Group provides financing, state-of-the-art analysis, and policy advice to help countries expand access to quality, affordable health care; protects people from falling into poverty or worsening poverty due to illness; and promotes investments in all sectors that form the foundation of healthy societies.Age Dependency Ratio: Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. Data from 1960 – 2012.Age Dependency Ratio Old: Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. Data from 1960 – 2012.Birth/Death Rate: Crude birth/death rate indicates the number of births/deaths occurring during the year, per
    1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration. Data spans from 1960 – 2008.Total Fertility: Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates. Data shown is for 1960 - 2008.Population Growth: Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage.
    Population is based on the de facto definition of population, which
    counts all residents regardless of legal status or citizenship--except
    for refugees not permanently settled in the country of asylum, who are
    generally considered part of the population of the country of origin. Data spans from 1960 – 2009.Life Expectancy: Life expectancy at birth indicates the number of years a newborn infant
    would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. Data spans from 1960 – 2008.Population Female: Female population is the percentage of the population that is female. Population is based on the de facto definition of population. Data from 1960 – 2009.For more information, please visit: World Bank Open Data. _Other International User Community content that may interest you World Bank World Bank Age World Bank Health

  4. g

    CIESIN, Infant Mortality Rates by Country, Global, 2005

    • geocommons.com
    Updated May 6, 2008
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    CIESIN Center for International Earth Science Information Network (Columbia University) (2008). CIESIN, Infant Mortality Rates by Country, Global, 2005 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 6, 2008
    Dataset provided by
    data
    CIESIN Center for International Earth Science Information Network (Columbia University)
    Description

    Enclosed are data from CIESIN's Global subnational infant mortality rates database. Further documentation for these data is available in the enclosed catalog and on the CIESIN Poverty Mapping web site at: http://www.ciesin.columbia.edu/povmap Center for International Earth Science Information Network (CIESIN), Columbia University; 2005 Global subnational infant mortality rates [dataset]. CIESIN, Palisades, NY, USA. Available at: http://www.ciesin.columbia.edu/povmap/ds_global.html

  5. e

    General Household Survey, 2006 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 13, 2023
    + more versions
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    (2023). General Household Survey, 2006 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/8e11f697-ec2d-5534-9825-b2bc76986187
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    Dataset updated
    Apr 13, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The General Household Survey (GHS), ran from 1971-2011 (the UKDS holds data from 1972-2011). It was a continuous annual national survey of people living in private households, conducted by the Office for National Statistics (ONS). The main aim of the survey was to collect data on a range of core topics, covering household, family and individual information. This information was used by government departments and other organisations for planning, policy and monitoring purposes, and to present a picture of households, families and people in Great Britain. In 2008, the GHS became a module of the Integrated Household Survey (IHS). In recognition, the survey was renamed the General Lifestyle Survey (GLF). The GLF closed in January 2012. The 2011 GLF is therefore the last in the series. A limited number of questions previously run on the GLF were subsequently included in the Opinions and Lifestyle Survey (OPN). Secure Access GHS/GLF The UKDS holds standard access End User Licence (EUL) data for 1972-2006. A Secure Access version is available, covering the years 2000-2011 - see SN 6716 General Lifestyle Survey, 2000-2011: Secure Access. History The GHS was conducted annually until 2011, except for breaks in 1997-1998 when the survey was reviewed, and 1999-2000 when the survey was redeveloped. Further information may be found in the ONS document An overview of 40 years of data (General Lifestyle Survey Overview - a report on the 2011 General Lifestyle Survey) (PDF). Details of changes each year may be found in the individual study documentation. EU-SILC In 2005, the European Union (EU) made a legal obligation (EU-SILC) for member states to collect additional statistics on income and living conditions. In addition, the EU-SILC data cover poverty and social exclusion. These statistics are used to help plan and monitor European social policy by comparing poverty indicators and changes over time across the EU. The EU-SILC requirement was integrated into the GHS/GLF in 2005. After the closure of the GLF, EU-SILC was collected via the Family Resources Survey (FRS) until the UK left the EU in 2020.Reformatted GHS data 1973-1982 - Surrey SPSS Files SPSS files were created by the University of Surrey for all GHS years from 1973 to 1982 inclusive. The early files were restructured and the case changed from the household to the individual with all of the household information duplicated for each individual. The Surrey SPSS files contain all the original variables as well as some extra derived variables (a few variables were omitted from the data files for 1973-76). In 1973 only, the section on leisure was not included in the Surrey SPSS files. This has subsequently been made available, however, and is now held in a separate study, General Household Survey, 1973: Leisure Questions (SN 3982). Records for the original GHS 1973-1982 ASCII files have been removed from the UK Data Archive catalogue, but the data are still preserved and available upon request. Changes to the 2006 data The GHS methodology has changed to longitudinal data collection. The design changed in 2005 but the 2006 dataset is the first wave where a proportion (68%) of the sample are people who were also interviewed the year before. It should be noted however that the dataset is still cross-sectional as it contains data only from 2006. For the third edition (February 2009), amendments were made to variables LGLSTAT, CHNBORN and CHEXCM in the individual file. A minor error had been discovered by the depositor with the LGLSTAT variable, where 188 cases had been assigned as being in a cohabiting couple, when they should have been classified as either single, widowed or divorced. The subsequent derived variables concerning the number of children in cohabiting relationships (variables CHNBORN and CHEXCM) should also have been set to 'not applicable' for these cases. This error has now been corrected, but it had a minor impact on the breakdown between non-married categories in tables 5.3, 5.4, 5.5, 5.6, 5.8, 5.10 and 5.11 of the 2006 GHS report. Original and correct versions of the tables are included in the documentation for reference (also available from the GHS website). For a full edition history, see READ file (link below). Main Topics:The main GHS consisted of a household questionnaire, completed by the Household Reference Person (HRP), and an individual questionnaire, completed by all adults aged 16 and over resident in the household. A number of different trailers each year covering extra topics were included in later (post-review) surveys in the series from 2000.The household questionnaire covered the following topics: household information, accommodation type, housing tenure/costs, and consumer durables including vehicle ownership.The individual questionnaire included data from the household dataset, and additional sections on migration/citizenship/national identity/ethnicity, employment, pensions, education, health, child care, smoking, drinking, family information, financial situation, and income. Multi-stage stratified random sample Telephone interview Face-to-face interview 2006 ACADEMIC ACHIEVEMENT ADOLESCENTS ADOPTED CHILDREN ADULTS AGE ALCOHOL USE ALCOHOLIC DRINKS APARTMENTS ASSAULT ATTITUDES BANK ACCOUNTS BATHROOMS BEDROOMS BINGE DRINKING BONUS PAYMENTS CARE OF DEPENDANTS CENTRAL HEATING CHILD BENEFITS CHILD CARE CHILD DAY CARE CHILDREN CHRONIC ILLNESS CINEMA ATTENDANCE COHABITATION COLOUR TELEVISION R... COMMUNITIES COMPACT DISC PLAYERS COMPANY CARS COMPUTERS CONSUMER GOODS COOKING COSTS COUNCIL TAX CRIME AND SECURITY CRIMINAL DAMAGE CULTURAL GOODS CULTURAL PARTICIPATION DEBILITATIVE ILLNESS DEBTS DENTAL EXAMINATIONS DENTAL HEALTH DISABILITIES DISEASES DIVORCE DOMESTIC APPLIANCES DRINKING BEHAVIOUR ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL COURSES EDUCATIONAL INSTITU... ELDERLY EMPLOYEES EMPLOYERS EMPLOYMENT EMPLOYMENT CONTRACTS EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS EXPOSURE TO NOISE Education FAMILIES FAMILY BENEFITS FAMILY ENVIRONMENT FAMILY MEMBERS FAMILY PLANNING FATHER S OCCUPATION... FATHER S PLACE OF B... FINANCIAL DIFFICULTIES FINANCIAL RESOURCES FINANCIAL SUPPORT FOSSIL FUELS FOSTER CHILDREN FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... FURTHER EDUCATION GENDER GENERAL PRACTITIONERS GROUPS General health and ... HEADS OF HOUSEHOLD HEALTH HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HIGHER EDUCATION HOME OWNERSHIP HOME SHARING HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOSPITALIZATION HOSPITALIZED CHILDREN HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLD INCOME HOUSEHOLDS HOUSES HOUSING HOUSING AGE HOUSING BENEFITS HOUSING FACILITIES HOUSING TENURE Health care service... Housing INCOME INDUSTRIES INFANTS JOB HUNTING JOB SEEKER S ALLOWANCE KITCHENS LANDLORDS LEISURE TIME ACTIVI... Labour and employment MARITAL HISTORY MARITAL STATUS MARRIAGE MARRIAGE DISSOLUTION MATERNITY BENEFITS MEDICAL CARE MEDICAL PRESCRIPTIONS MEN MOBILE HOMES MORTGAGES MOTHER S OCCUPATION... MOTHER S PLACE OF B... MOTOR VEHICLES NATIONAL IDENTITY NEIGHBOURHOODS NURSES OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONAL TRAINING OCCUPATIONS ONE PARENT FAMILIES PARENTS PART TIME EMPLOYMENT PATIENTS PAYMENTS PENSION CONTRIBUTIONS PENSIONS PHYSICIANS PLACE OF BIRTH PREGNANCY PRICES PRIVATE HEALTH SERV... PRIVATE PERSONAL PE... PUBLIC SERVICES QUALIFICATIONS RENTED ACCOMMODATION RENTS RESIDENTIAL MOBILITY ROAD TRAFFIC ROOM SHARING ROOMS SAME SEX RELATIONSHIPS SATELLITE RECEIVERS SCHOOLCHILDREN SELF EMPLOYED SHARED HOME OWNERSHIP SHELTERED HOUSING SICKNESS AND DISABI... SMOKING SMOKING CESSATION SOCIAL CLASS SOCIAL HOUSING SOCIAL INTERACTION SOCIAL MOBILITY SOCIAL SECURITY BEN... SOCIAL SECURITY CON... SOCIO ECONOMIC STATUS SPORT SPECTATORSHIP SPOUSE S ECONOMIC A... SPOUSE S EMPLOYMENT SPOUSES STAKEHOLDER PENSIONS STATE HEALTH SERVICES STATE RETIREMENT PE... STEPCHILDREN STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORY STATUS Social conditions a... Specific social ser... TAX RELIEF TELEPHONE HELP LINES TELEPHONES TELEVISION RECEIVERS TIED HOUSING TOBACCO TRAINING COURSES UNEARNED INCOME UNEMPLOYED UNFURNISHED ACCOMMO... UNWAGED WORKERS VIDEO RECORDERS VOCATIONAL EDUCATIO... VOLUNTARY WORK WAGES WIDOWED WOMEN YOUTH

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Lundberg, Ian; Donnelly, Louis (2023). Replication Data for: A research note on the prevalence of housing eviction among children born in American cities [Dataset]. http://doi.org/10.7910/DVN/BVWFG1

Replication Data for: A research note on the prevalence of housing eviction among children born in American cities

Related Article
Explore at:
Dataset updated
Nov 22, 2023
Dataset provided by
Harvard Dataverse
Authors
Lundberg, Ian; Donnelly, Louis
Description

A growing body of research suggests that housing eviction is more common than previously recognized and may play an important role in the reproduction of poverty. The proportion of children affected by housing eviction, however, remains largely unknown. We estimate that 1 in 7 children born in large American cities in 1998–2000 experienced at least one eviction for nonpayment of rent or mortgage between birth and age 15. Rates of eviction were substantial across all cities and demographic groups studied, but children from disadvantaged backgrounds were most likely to experience eviction. Among those born into deep poverty, we estimate that about 1 in 4 were evicted by age 15. Given prior evidence that forced moves have negative consequences for children, we conclude that the high prevalence and social stratification of housing eviction are sufficient to play an important role in the reproduction of poverty and warrant greater policy attention.

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