14 datasets found
  1. H

    Extended Family Support of Single Black Mothers, 1980

    • datasetcatalog.nlm.nih.gov
    • dataverse.harvard.edu
    • +1more
    Updated Nov 28, 2007
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    McAdoo, Harriette Pipes (2007). Extended Family Support of Single Black Mothers, 1980 [Dataset]. http://doi.org/10.7910/DVN/M47HL9
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    Dataset updated
    Nov 28, 2007
    Authors
    McAdoo, Harriette Pipes
    Description

    The purpose of this study was to determine the role that extended families play in supporting African American single mothers. The sample consists of 320 African American single mothers and 126 of their "significant others." All mothers were over 20 years old, worked outside the home, and had children under the age of 18 living at home. Significant others were defined as the person who was most supportive of the respondent; half of these were relatives. The mothers completed a questionnaire inquiring about families of origin and families of procreation as well as the following topics: mobility patterns, significant life events, interactions with family and friends, concerns of single mothers, sources of stress, role conflicts and coping strategies, help-seeking and help-exchange patterns, utilization of services, and race-related attitudes. The questionnaire also assessed mental health and included scales about general well-being, anxiety, self-esteem, degree of control, role satisfaction, and life satisfaction. The questionnaire completed by the significant others included many of the same questions as well as questions about the relationship with the mother. The Murray Research Archive holds both numeric file data, and original record paper data from the mothers and the significant others.

  2. M

    Black Hawk County - Single-Parent Households with Children | Historical...

    • macrotrends.net
    csv
    Updated Nov 30, 2025
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    MACROTRENDS (2025). Black Hawk County - Single-Parent Households with Children | Historical Chart | Data | 2009-2023 [Dataset]. https://www.macrotrends.net/datasets/5264/black-hawk-county-single-parent-households-with-children
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    csvAvailable download formats
    Dataset updated
    Nov 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2009 - 2023
    Area covered
    Black Hawk County, United States
    Description

    Black Hawk County - Single-Parent Households with Children - Historical chart and current data through 2023.

  3. s

    Grants for Single Mothers in Mississippi

    • singlemotherguide.com
    json
    Updated Nov 16, 2025
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    SingleMotherGuide.com (2025). Grants for Single Mothers in Mississippi [Dataset]. https://singlemotherguide.com/state/mississippi
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    jsonAvailable download formats
    Dataset updated
    Nov 16, 2025
    Dataset provided by
    SingleMotherGuide.com
    License

    https://singlemotherguide.com/licensehttps://singlemotherguide.com/license

    Time period covered
    2024 - 2025
    Area covered
    Mississippi
    Variables measured
    WIC, Medicaid, Child Care, Summer EBT, FPL Percentage, Cash Assistance, Food Assistance, Utility Assistance
    Description

    Explore available grants and financial assistance programs for single mothers in Mississippi. This dataset estimates how much a single-parent family of 2 earning $0/month may receive in cash aid, food support, child care assistance, utility relief, and Medicaid coverage.

  4. s

    Grants for Single Mothers in NC

    • singlemotherguide.com
    json
    Updated Dec 3, 2025
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    SingleMotherGuide.com (2025). Grants for Single Mothers in NC [Dataset]. https://singlemotherguide.com/state/north-carolina
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    jsonAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset provided by
    SingleMotherGuide.com
    License

    https://singlemotherguide.com/licensehttps://singlemotherguide.com/license

    Time period covered
    2024 - 2025
    Area covered
    North Carolina
    Variables measured
    WIC, Medicaid, Child Care, Summer EBT, FPL Percentage, Cash Assistance, Food Assistance, Utility Assistance
    Description

    Explore available grants and financial assistance programs for single mothers in NC. This dataset estimates how much a single-parent family of 2 earning $0/month may receive in cash aid, food support, child care assistance, utility relief, and Medicaid coverage.

  5. s

    Grants for Single Mothers in Louisiana

    • singlemotherguide.com
    json
    Updated Dec 2, 2025
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    SingleMotherGuide.com (2025). Grants for Single Mothers in Louisiana [Dataset]. https://singlemotherguide.com/state/louisiana
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    jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset provided by
    SingleMotherGuide.com
    License

    https://singlemotherguide.com/licensehttps://singlemotherguide.com/license

    Time period covered
    2024 - 2025
    Area covered
    Louisiana
    Variables measured
    WIC, Medicaid, Child Care, Summer EBT, FPL Percentage, Cash Assistance, Food Assistance, Utility Assistance
    Description

    Explore available grants and financial assistance programs for single mothers in Louisiana. This dataset estimates how much a single-parent family of 2 earning $0/month may receive in cash aid, food support, child care assistance, utility relief, and Medicaid coverage.

  6. Childcare Costs Database

    • kaggle.com
    zip
    Updated Oct 11, 2023
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    Sujay Kapadnis (2023). Childcare Costs Database [Dataset]. https://www.kaggle.com/datasets/sujaykapadnis/childcare-costs
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    zip(4280678 bytes)Available download formats
    Dataset updated
    Oct 11, 2023
    Authors
    Sujay Kapadnis
    Description

    The data this week comes from the National Database of Childcare Prices.

    Data Dictionary

    childcare_costs.csv

    variableclassdescription
    county_fips_codedoubleFour- or five-digit number that uniquely identifies the county in a state. The first two digits (for five-digit numbers) or 1 digit (for four-digit numbers) refer to the FIPS code of the state to which the county belongs.
    study_yeardoubleYear the data collection began for the market rate survey and in which ACS data is representative of, or the study publication date.
    unr_16doubleUnemployment rate of the population aged 16 years old or older.
    funr_16doubleUnemployment rate of the female population aged 16 years old or older.
    munr_16doubleUnemployment rate of the male population aged 16 years old or older.
    unr_20to64doubleUnemployment rate of the population aged 20 to 64 years old.
    funr_20to64doubleUnemployment rate of the female population aged 20 to 64 years old.
    munr_20to64doubleUnemployment rate of the male population aged 20 to 64 years old.
    flfpr_20to64doubleLabor force participation rate of the female population aged 20 to 64 years old.
    flfpr_20to64_under6doubleLabor force participation rate of the female population aged 20 to 64 years old who have children under 6 years old.
    flfpr_20to64_6to17doubleLabor force participation rate of the female population aged 20 to 64 years old who have children between 6 and 17 years old.
    flfpr_20to64_under6_6to17doubleLabor force participation rate of the female population aged 20 to 64 years old who have children under 6 years old and between 6 and 17 years old.
    mlfpr_20to64doubleLabor force participation rate of the male population aged 20 to 64 years old.
    pr_fdoublePoverty rate for families.
    pr_pdoublePoverty rate for individuals.
    mhi_2018doubleMedian household income expressed in 2018 dollars.
    me_2018doubleMedian earnings expressed in 2018 dollars for the population aged 16 years old or older.
    fme_2018doubleMedian earnings for females expressed in 2018 dollars for the population aged 16 years old or older.
    mme_2018doubleMedian earnings for males expressed in 2018 dollars for the population aged 16 years old or older.
    total_popdoubleCount of the total population.
    one_racedoublePercent of population that identifies as being one race.
    one_race_wdoublePercent of population that identifies as being one race and being only White or Caucasian.
    one_race_bdoublePercent of population that identifies as being one race and being only Black or African American.
    one_race_idoublePercent of population that identifies as being one race and being only American Indian or Alaska Native.
    one_race_adoublePercent of population that identifies as being one race and being only Asian.
    one_race_hdoublePercent of population that identifies as being one race and being only Native Hawaiian or Pacific Islander.
    one_race_otherdoublePercent of population that identifies as being one race and being a different race not previously mentioned.
    two_racesdoublePercent of population that identifies as being two or more races.
    hispanicdoublePercent of population that identifies as being Hispanic or Latino regardless of race.
    householdsdoubleNumber of households.
    h_under6_both_workdoubleNumber of households with children under 6 years old with two parents that are both working.
    h_under6_f_workdoubleNumber of households with children under 6 years old with two parents with only the father working.
    h_under6_m_workdoubleNumber of households with children under 6 years old with two parents with only the mother working.
    h_under6_single_mdoubleNumber of households with children under 6 years old with a single mother.
    h_6to17_both_workdoubleNumber of households with children between 6 and 17 years old with two parents that are both working.
    h_6to17_fworkdoubleNumber of households with children between 6 and 17 years old with two parents with only the father working.
    h_6to17_mworkdoubleNumber of households with children between 6 and 17 year...
  7. a

    Demographic Statistics - Cities

    • hub.arcgis.com
    • data-sccphd.opendata.arcgis.com
    • +1more
    Updated Feb 9, 2018
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    Santa Clara County Public Health (2018). Demographic Statistics - Cities [Dataset]. https://hub.arcgis.com/datasets/sccphd::demographic-statistics-cities
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    Dataset updated
    Feb 9, 2018
    Dataset authored and provided by
    Santa Clara County Public Health
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    City, Population Size, African American, Asian/Pacific Islander, Latino, White, Foreign-born, Speaks a language other than English at home, Single parent households, Households with children, Average household size, 0-5 years, 6-11 years, 12-17 years, 18-24 years, 25-34 years, 35-44 years, 45-54 years, 55-64 years,Ages 65 and older, Ages 17 and younger. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

  8. g

    Evaluations of Interracial People (CAPS-AMBIGETH module)

    • datasearch.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated Jan 22, 2020
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    N/A (2020). Evaluations of Interracial People (CAPS-AMBIGETH module) [Dataset]. https://datasearch.gesis.org/dataset/httpsdataverse.unc.eduoai--hdl1902.29CAPS-AMBIGETH
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    Dataset updated
    Jan 22, 2020
    Dataset provided by
    Odum Institute Dataverse Network
    Authors
    N/A
    Description

    This unit measures evaluations of interracial people. Rs are presented with one of two descriptions of a male 18 year old. In one description, the person is black, in the other, the person is of mixed-race. Rs then evaluate the stimulus person.

    IMPORTANT NOTE: In the CAPS87 version of AMBIGETH, the stimulus persons were white and mixed-race. In the CAPS/88 version they are black and mixed race.

    Background: Recent research investigating the perception of interracial couples (Wade, 1984, 1985) revealed that under some conditions subjects would perceive an interracial couple of the type black male/white female positively. Those conditions were, the black male must be of high status and the white female must be attractive. Though subjects perceived this couple positively, they reported that interracial couples should not have children. Subjects felt that interracial children would have difficulty with society because one parent was of a different race.

    Very little empirical literature exists regarding interracial children and the existent literature is inconclusive. Some interracial children are perceived negatively and have difficulty with society (Benson, 1981). However, other literature suggests that interracial children may be perceived negatively, but are at an advantage in society (Poussaint 1984). Poussaint (1984) states that these children benefit from being exposed to two different cultures. Durojaiye (1970) supports this he re ports that interracial children are often more popular with their white peers than are black children and interracial children are more popular with black children than are white children. These findings are based on verbal reports from interracial children and not actual reports from observers. Therefore, research examining the perceptions of interracial children from an observer's point of view is needed. If interracial children are more popular with white males and females than black children, This suggests a continuum of race exists such that whites are most popular with whites, followed by interracials, followed by blacks.

  9. The Future of Families and Child Wellbeing Study (FFCWS), Public Use, United...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Mar 27, 2025
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    McLanahan, Sara; Garfinkel, Irwin; Edin, Kathryn; Waldfogel, Jane; Hale, Lauren; Buxton, Orfeu M.; Mitchell, Colter; Notterman, Daniel A.; Hyde, Luke W.; Monk, Chris S. (2025). The Future of Families and Child Wellbeing Study (FFCWS), Public Use, United States, 1998-2024 [Dataset]. http://doi.org/10.3886/ICPSR31622.v4
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    sas, ascii, r, delimited, stata, spssAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    McLanahan, Sara; Garfinkel, Irwin; Edin, Kathryn; Waldfogel, Jane; Hale, Lauren; Buxton, Orfeu M.; Mitchell, Colter; Notterman, Daniel A.; Hyde, Luke W.; Monk, Chris S.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/31622/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/31622/terms

    Time period covered
    1998 - 2024
    Area covered
    United States
    Description

    The Future of Families and Child Wellbeing Study (FFCWS, formerly known as the Fragile Families and Child Wellbeing Study) follows a cohort of nearly 5,000 children born in large, U.S. cities between 1998 and 2000. The study oversampled births to unmarried couples; and, when weighted, the data are representative of births in large U.S. cities at the turn of the century. The FFCWS was originally designed to address four questions of great interest to researchers and policy makers: What are the conditions and capabilities of unmarried parents, especially fathers? What is the nature of the relationships between unmarried parents? How do children born into these families fare? How do policies and environmental conditions affect families and children? The FFCWS consists of interviews with mothers, fathers, and/or primary caregivers at birth and again when children are ages 1, 3, 5, 9, 15, and 22. The parent interviews collected information on attitudes, relationships, parenting behavior, demographic characteristics, health (mental and physical), economic and employment status, neighborhood characteristics, and program participation. Beginning at age 9, children were interviewed directly (either during the home visit or on the telephone). The direct child interviews collected data on family relationships, home routines, schools, peers, and physical and mental health, as well as health behaviors. A collaborative study of the FFCWS, the In-Home Longitudinal Study of Pre-School Aged Children (In-Home Study) collected data from a subset of the FFCWS Core respondents at the Year 3 and 5 follow-ups to ask how parental resources in the form of parental presence or absence, time, and money influence children under the age of 5. The In-Home Study collected information on a variety of domains of the child's environment, including: the physical environment (quality of housing, nutrition and food security, health care, adequacy of clothing and supervision) and parenting (parental discipline, parental attachment, and cognitive stimulation). In addition, the In-Home Study also collected information on several important child outcomes, including anthropometrics, child behaviors, and cognitive ability. This information was collected through interviews with the child's primary caregiver, and direct observation of the child's home environment and the child's interactions with his or her caregiver. Similar activities were conducted during the Year 9 follow-up. At the Year 15 follow-up, a condensed set of home visit activities were conducted with a subsample of approximately 1,000 teens. Teens who participated in the In-Home Study were also invited to participate in a Sleep Study and were asked to wear an accelerometer on their non-dominant wrist for seven consecutive days to track their sleep (Sleep Actigraphy Data) and that day's behaviors and mood (Daily Sleep Actigraphy and Diary Survey Data). An additional collaborative study collected data from the child care provider (Year 3) and teacher (Years 9 and 15) through mail-based surveys. Saliva samples were collected at Year 9 and 15 (Biomarker file and Polygenic Scores). The Study of Adolescent Neural Development (SAND) COVID Study began data collection in May 2020 following the onset of the COVID-19 pandemic. It included online surveys with the young adult and their primary caregiver. The FFCWS began its seventh wave of data collection in October 2020, around the focal child's 22nd birthday. Data collection and interviews continued through January 2024. The Year 22 wave included a young adult (YA) survey with the original focal child and a primary caregiver (PCG) survey. Data were also collected on the children of the original focal child (referred to as Generation 3, or G3). Documentation for these files is available on the FFCWS website located here. For details of updates made to the FFCWS data files, please see the project's Data Alerts page. Data collection for the Future of Families and Child Wellbeing Study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations. Below is the citation for use of the FFCWS data accessed through ICPSR. For information on additional citation requirements when

  10. a

    2018 ACS Demographic & Socio-Economic Data Of USA At Census Tract Level

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated May 22, 2024
    + more versions
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    snakka_OSU_GEOG (2024). 2018 ACS Demographic & Socio-Economic Data Of USA At Census Tract Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/datasets/5b67f243e6584ef1986f815932020034
    Explore at:
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    Data SourcesAmerican Community Survey (ACS):Conducted by: U.S. Census BureauDescription: The ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.Content: The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.Frequency: The ACS offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.Purpose: ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.CDC/ATSDR Social Vulnerability Index (SVI):Created by: ATSDR’s Geospatial Research, Analysis & Services Program (GRASP)Utilized by: CDCDescription: The SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.Content: SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themes. Each tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability.Purpose: SVI data provides insights into the social vulnerability of communities at the census tract level, helping public health officials and emergency response planners allocate resources effectively.Utilization and IntegrationBy integrating data from both the ACS and the SVI, this dataset enables an in-depth analysis and understanding of various socio-economic and demographic indicators at the census tract level. This integrated data is valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United States.ApplicationsLocalized Interventions: Facilitates the development of localized interventions to address the needs of vulnerable populations within specific census tracts.Resource Allocation: Assists emergency response planners in allocating resources more effectively based on community vulnerability at the census tract level.Research: Provides a detailed dataset for academic and applied research in socio-economic and demographic studies at a granular census tract level.Community Planning: Supports the planning and development of community programs and initiatives aimed at improving living conditions and reducing vulnerabilities within specific census tract areas.Note: Due to limitations in the data environment, variable names may be truncated. Refer to the provided table for a clear understanding of the variables.CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2014-2018 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2014-2018 ACSEP_PCIEP_PCIPer capita income estimate, 2014-2018 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2014-2018 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2014-2018 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2014-2018 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2014-2018 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computer

  11. f

    Data_Sheet_1_Childhood obesity and comorbidities-related perspective and...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Aug 5, 2024
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    George Obita; Mark Burns; Lawrence Achilles Nnyanzi; Chia-Hua Kuo; Noël C. Barengo; Ahmad Alkhatib (2024). Data_Sheet_1_Childhood obesity and comorbidities-related perspective and experience of parents from Black and Asian minority ethnicities in England: a qualitative study.docx [Dataset]. http://doi.org/10.3389/fpubh.2024.1399276.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Aug 5, 2024
    Dataset provided by
    Frontiers
    Authors
    George Obita; Mark Burns; Lawrence Achilles Nnyanzi; Chia-Hua Kuo; Noël C. Barengo; Ahmad Alkhatib
    License

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

    Description

    BackgroundPreventing childhood obesity and associated comorbidities is often hampered by disproportionate disparity in healthcare provision in minority ethnic populations. This study contextualized factors influencing childhood obesity and related comorbidity from the perspectives and experiences of parents of ethnic minority populations.MethodsFollowing ethical approval, families (n = 180) from ethnic minority populations in the Northeast of England were contacted through flyers, community social groups and online forum. Of the 180 families contacted, 22 expressed interests, of whom 12 parents were eligible to participate in the study, and one family dropped out due to time constraints. Therefore 11 parents from ethnic minority communities living with at least one child with obesity were interviewed. Each family was separately visited at home and took part in a semi-structured interview based on the study’s qualitative, descriptive phenomenological design. Nine of the families had one child who was diagnosed with an obesity-related comorbidity (non-alcoholic fatty liver disease, musculoskeletal problems or respiratory disorder). Semi-structured interviews were standardized around parents’ perspective and experience on how their children were impacted by obesity and comorbidities, healthcare preventative interventions including lifestyle physical activity and nutrition, and views on tackling obesity impact on their lives. All interviews were analyzed using qualitative thematic analysis.ResultsParents’ perspectives revealed 11 themes centered around experience of living with a child with obesity, risks, and impact of obesity related Non-Communicable Diseases; and access to support, and barriers unique to minority ethnic groups. Parents revealed social disadvantages, fear of victimization by social services, perceptions on their cultural and religious traditions, and racial stigmatization related to their child’s weight. Parents reported closer bonding with their children to protect them from the untoward consequences of overweight, and little awareness of healthcare obesity prevention programs. Work pressure, lack of time, absence of guidance from professionals were seen as barriers to healthy lifestyle, while support from friends and closer family bond in adopting healthy lifestyle behaviors were facilitators. However, there was little awareness or access to current healthcare obesity preventive offerings.ConclusionMinority ethnic communities’ perspective on childhood obesity prevention does not match the healthcare system preventative offerings. Community and family-oriented obesity preventative approaches, especially lifestyle interventions are needed beyond those administered by the primary healthcare system.

  12. 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
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    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.

  13. National Survey of Children's Exposure to Violence I, 1990-2008 [United...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
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    Office of Juvenile Justice and Delinquency Prevention (2025). National Survey of Children's Exposure to Violence I, 1990-2008 [United States] [Dataset]. https://catalog.data.gov/dataset/national-survey-of-childrens-exposure-to-violence-i-1990-2008-united-states-1c410
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Office of Juvenile Justice and Delinquency Preventionhttp://ojjdp.gov/
    Area covered
    United States
    Description

    The National Survey of Children's Exposure to Violence (NatSCEV) series involved three rounds of data collection, this study NatSCEV I (baseline), NatSCEV II, and NatSCEV III. For more information on other parts to the series, please use the following links: NatSCEV II (ICPSR 36177) - http://doi.org/10.3886/ICPSR36177.v1 NatSCEV III (ICPSR 36523) - http://doi.org/10.3886/ICPSR36523.v1 The National Survey of Children's Exposure to Violence I was designed to obtain lifetime and one-year incidence estimates of a comprehensive range of childhood victimizations across gender, race, and developmental stage. Conducted between January and July, 2008, it assessed the experiences of a nationally representative sample of 4,549 children aged 1 month to 17 years living in the contiguous United States (excluding New Hampshire). The primary sample of households was selected from a nationwide sampling frame of residential telephone numbers by random digit dialing (RDD). A second sample was drawn by over-sampling United States telephone exchanges that had a population of 70 percent or more of African American, Hispanic, or low-income households. A short interview was conducted with an adult caregiver (usually a parent) to obtain family demographic information. One child was randomly selected from all eligible children in a household by selecting the child with the most recent birthday. The survey used an enhanced version of the Juvenile Victimization Questionnaire (JVQ), an inventory of childhood victimization. This version of the JVQ obtains reports on 48 forms of offenses against youth that cover five general areas of concern including: conventional crime, child maltreatment, peer and sibling victimization, sexual assault, and witnessing and indirect victimization. Follow-up questions for each victimization item gathered additional information about the victimization incident. The data set has 1,824 variables and 4,549 cases.

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

    • 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 - 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
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    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.

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

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McAdoo, Harriette Pipes (2007). Extended Family Support of Single Black Mothers, 1980 [Dataset]. http://doi.org/10.7910/DVN/M47HL9

Extended Family Support of Single Black Mothers, 1980

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Dataset updated
Nov 28, 2007
Authors
McAdoo, Harriette Pipes
Description

The purpose of this study was to determine the role that extended families play in supporting African American single mothers. The sample consists of 320 African American single mothers and 126 of their "significant others." All mothers were over 20 years old, worked outside the home, and had children under the age of 18 living at home. Significant others were defined as the person who was most supportive of the respondent; half of these were relatives. The mothers completed a questionnaire inquiring about families of origin and families of procreation as well as the following topics: mobility patterns, significant life events, interactions with family and friends, concerns of single mothers, sources of stress, role conflicts and coping strategies, help-seeking and help-exchange patterns, utilization of services, and race-related attitudes. The questionnaire also assessed mental health and included scales about general well-being, anxiety, self-esteem, degree of control, role satisfaction, and life satisfaction. The questionnaire completed by the significant others included many of the same questions as well as questions about the relationship with the mother. The Murray Research Archive holds both numeric file data, and original record paper data from the mothers and the significant others.

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