100+ datasets found
  1. o

    Percentage Distribution Of Households By Age And Sex Of Household Head

    • open.africa
    csv, json, rdf, xml
    Updated Nov 21, 2016
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    (2016). Percentage Distribution Of Households By Age And Sex Of Household Head [Dataset]. https://open.africa/pt_BR/dataset/groups/percentage-distribution-of-households-by-age-and-sex-of-household-head
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    xml, rdf, csv, jsonAvailable download formats
    Dataset updated
    Nov 21, 2016
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset shows the distribution of households based on their age group, gender and household head.

  2. Distribution of household heads in India 2019-2021, by gender

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Distribution of household heads in India 2019-2021, by gender [Dataset]. https://www.statista.com/statistics/615599/household-by-gender-india/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    A majority of households across India between 2019 and 2021 were headed by men. Women accounted for about ** percent of the household headship during the measured time period. The mean household size was *** in the same period.

  3. Main activity of the household head in Angolan households 2018-2019

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Main activity of the household head in Angolan households 2018-2019 [Dataset]. https://www.statista.com/statistics/1201467/main-activity-of-the-household-head-in-angola/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2018 - Feb 2019
    Area covered
    Angola
    Description

    Nearly ** percent of the household heads in Angola were involved with agriculture, animal production, hunting, forestry, and fishery between 2018 and 2019. Agricultural activities concentrated the largest share of households, followed by retail and wholesale, and repairs of automobiles. Roughly ** percent of Angolan household heads had these as the main areas of occupation.

  4. V

    Vietnam HSS: HS: Household Head Gender: Female

    • ceicdata.com
    Updated Aug 16, 2018
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    CEICdata.com (2018). Vietnam HSS: HS: Household Head Gender: Female [Dataset]. https://www.ceicdata.com/en/vietnam/household-living-standard-survey-hss-household-size/hss-hs-household-head-gender-female
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    Dataset updated
    Aug 16, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2002 - Dec 1, 2014
    Area covered
    Vietnam
    Variables measured
    Household Income and Expenditure Survey
    Description

    Vietnam HSS: HS: Household Head Gender: Female data was reported at 3.200 Person in 2016. This records a decrease from the previous number of 3.240 Person for 2014. Vietnam HSS: HS: Household Head Gender: Female data is updated yearly, averaging 3.415 Person from Dec 2002 (Median) to 2016, with 8 observations. The data reached an all-time high of 3.710 Person in 2002 and a record low of 3.200 Person in 2016. Vietnam HSS: HS: Household Head Gender: Female data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.H021: Household Living Standard Survey (HSS): Household Size .

  5. Household Internet use, by location of use and education level of household...

    • data.wu.ac.at
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jul 26, 2018
    + more versions
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    Statistics Canada | Statistique Canada (2018). Household Internet use, by location of use and education level of household head [Dataset]. https://data.wu.ac.at/schema/www_data_gc_ca/OGQ3YTZmMWQtZTcyMS00Mjg5LTg3MDAtNTY2M2E4M2QxMjQ3
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    html, csv, xmlAvailable download formats
    Dataset updated
    Jul 26, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Household Internet use survey, household Internet use by location of use and education level of household head for Canada from 1997 to 2003. (Terminated)

  6. V

    Vietnam HSS: HS: Quintile 4: Household Head Gender: Female

    • ceicdata.com
    Updated Sep 15, 2022
    + more versions
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    CEICdata.com (2022). Vietnam HSS: HS: Quintile 4: Household Head Gender: Female [Dataset]. https://www.ceicdata.com/en/vietnam/household-living-standard-survey-hss-household-size/hss-hs-quintile-4-household-head-gender-female
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    Dataset updated
    Sep 15, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2002 - Dec 1, 2014
    Area covered
    Vietnam
    Variables measured
    Household Income and Expenditure Survey
    Description

    Vietnam HSS: HS: Quintile 4: Household Head Gender: Female data was reported at 3.390 Person in 2014. This records a decrease from the previous number of 3.410 Person for 2012. Vietnam HSS: HS: Quintile 4: Household Head Gender: Female data is updated yearly, averaging 3.660 Person from Dec 2002 (Median) to 2014, with 7 observations. The data reached an all-time high of 3.780 Person in 2002 and a record low of 3.390 Person in 2014. Vietnam HSS: HS: Quintile 4: Household Head Gender: Female data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.H021: Household Living Standard Survey (HSS): Household Size .

  7. r

    HUS93 - Nonresponse study, Spell variables: Household composition - persons...

    • researchdata.se
    • demo.researchdata.se
    • +1more
    Updated May 5, 2020
    + more versions
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    Anders Klevmarken; Lennart Flood (2020). HUS93 - Nonresponse study, Spell variables: Household composition - persons moving out [Dataset]. http://doi.org/10.5878/003039
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    (663441), (519990), (414028), (641985), (349478), (1499371), (251575), (404892), (892832), (1219061), (337065), (355917)Available download formats
    Dataset updated
    May 5, 2020
    Dataset provided by
    University of Gothenburg
    Authors
    Anders Klevmarken; Lennart Flood
    Time period covered
    Jan 1, 1984 - Jan 1, 1998
    Area covered
    Sweden
    Description

    The Household Market and Nonmarket Activities (HUS) project started as a joint research project between the Industrial Institute for Economic and Social Research (IUI) and Göteborg University in 1980. The ambition was to build a consistent longitudinal micro data base on the use of time, money and public services of households. The first main survey was carried out in 1984. In addition to a contact interview with the selected individuals, all designated individuals participated in a personal interview and two telephone interviews. All respondents were asked about their family background, education, marital status, labor market experience, and employment. In addition, questions about the household were asked of the head of household, concerning family composition, child care, health status, housing, possession of vacation homes, cars, boats and other consumption durables. At the end of the personal interview the household head had to fill out a questionnaire including questions about financing of current home, construction costs for building a house, house value and loans, imputation of property values and loans, additions/renovations 1983, maintenance and repairs, leasing, sale of previous home, assets and liabilities, and non-taxable benefits. All the respondents had to fill out a questionnaire including questions about tax-return information 1983, employment income, and taxes and support payments. Two telephone interviews were used primarily to collect data on the household´s time use and consumption expenditures. The 1986 HUS-survey included both a follow-up of the 1984 sample (panel study) and a supplementary sample. The 1986 sample included 1) all respondents participating in the 1984 survey, 2) the household heads, partners and third persons who should have participated in 1984 but did not (1984 nonresponse), 3) those individuals who started living together after the 1984 interview with an selected individual who participated or was supposed to participate in 1984, 4) members of the 1984 household born in 1966 or 1967. If entering a new household, for example because of leaving their parental home, the household head and his/her partner were also interviewed. Respondents participating in the 1984 survey were interviewed by telephone in 1986. Questions dealt with changes in family composition, housing, employment, wages and child care, and it was not only recorded whether a change had occurred, and what sort of change, but also when it occurred. The respondents also received a questionnaire by mail with questions mainly concerning income and assets. Respondents not participating in the earlier survey were interviewed in person and were asked approximately the same questions as in the 1984 personal interview. The 1988 HUS-survey was considerably smaller than the previous ones. It was addressed exclusively to participants in the 1986 survey, and consisted of a self-enumerated questionnaire with a nonrespondent follow-up by telephone. The questions dealt with changes in housing conditions, employment and household composition. The questionnaire also contained some questions on household income. In many respect the 1991 HUS-survey replicated the 1988 survey. The questions were basically the same in content and range, and the survey was conducted as a self-enamurated questionnaire sent out by mail. This time, however, in contrast to the 1988 survey, an attempt was made to include in the survey the new household members who had moved into sample households since 1986, as well as young people who turned 18 after the 1986 survey. Earlier respondents received a questionnaire by mail containing questions about their home, their primary occupation and weekly work hours since May 1988 (event-history data), earnings in 1989, 1990 and 1991, household composition and any changes in it that might have occurred since 1988, child care and some questions on income. New respondents were also asked about their education and labor-market experience. With respect to its design and question wording, the 1993 survey is a new version of the 1986 survey. The survey is made up of four parts: 1) the panel survey, which was addressed mainly to respondents in the 1991 survey, with certain additions; 2) the so-called supplementary survey, which focused on a new random sample of individuals; 3) the so-called nonresponse survey, which encompassed respondents who had participated in at least one of the earlier surveys but had since dropped out; 4) the time-use survey, which included the same sample of respondents as those in the panel and supplementary surveys. Individuals in the nonresponse group were not included in the time-use survey. Most of the questions in the first three surveys were the same, but certain questions sequences were targeted to the respondents in a specific survey. Thus certain retrospective questions were asked of the nonresponse group, while specific questions on social background, labor market experience etc. were addressed to new respondents. In the case of respondents who had already participated in the panel, a combined contact and main interview was conducted by telephone, after which a self-enumerated questionnaire was sent out to each respondent by mail. The panel sample also included young people in panel households who were born in 1973 or 1974 as well as certain new household members who had not previously been interviewed. These individuals, like new respondents, were not interviewed by telephone until they had been interviewed personally. Thus technically they were treated in the same manner as individuals in the supplementary sample. The new supplementary sample was first contacted by telephone and then given a fairly lengthy personal interview, at the conclusion of which each respondent was asked to fill out a written questionnaire. In this respect the survey design for the nonresponse sample was the same as for the supplementary sample. The nonresponse sample also included young people born in 1973 or 1974 as well as certain new household members. The time-use interviews were conducted by telephone. For each respondent two days were chosen at random from the period from February 15, 1993 to February 14, 1994 and the respondents were interviewed about their time use during those two days. If possible, the time-use interviews were preceded by the other parts of the survey, but this was not always feasible. In each household the household head and spouse/partner were interviewed, as well as an additional person in certain households. Questions regarding the household as a whole were asked of only one person in the household, preferably the household head. As in earlier surveys, data from the interviews was subsequently supplemented by registry data, but only for those respondents who had given their express consent. There is registry information for 75-80 percent of the sample. The telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; and cars and boats. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1992. The 1996 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and environment. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1995. The 1998 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and municipal service. The questionnaire was divided into nine sections: sale of previous home; house value and loans; insurance; home-related expenses; assets; household income; inheritances and gifts; black-market work; and respondent income 1997.

  8. p

    Household Head Survey Biu, UER, 2013

    • dataportal.pauwes.dz
    Updated May 1, 2013
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    Center for Development Research, Department C: Ecology and Natural Resources Management, University of Bonn (2013). Household Head Survey Biu, UER, 2013 [Dataset]. https://dataportal.pauwes.dz/geonetwork/srv/api/records/6d0a5ab0-097b-4b12-91fd-e95ef0a7df47
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    www:download-1.0-http--downloadAvailable download formats
    Dataset updated
    May 1, 2013
    Dataset authored and provided by
    Center for Development Research, Department C: Ecology and Natural Resources Management, University of Bonn
    Area covered
    Description

    Household Head Survey in Biu, Upper East Region (2013) Topics: - demographics - income sources - land-use (esp. traditional crops, tomato, chili, rice, shea) - environmental and agronomic constrains in farming - natural hazards - development aid (esp. MOFA and USAID) - climatic dynamics - livelihood dynamics - gender - pro-poor engagement of relevant actors - opinion polling

  9. Number of households in Morocco 2020, by area and gender of household head

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Number of households in Morocco 2020, by area and gender of household head [Dataset]. https://www.statista.com/statistics/1297461/number-of-households-in-morocco-by-area-and-gender-of-household-head/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Morocco
    Description

    The number of urban households in Morocco amounted to around *** million as of 2020. Roughly *** million of them had a man as head of the household, while female heads of the household stood at approximately *** million. In proportion, around ** percent of the urban households were headed by women. In rural areas, in comparison, women headed only **** percent of the households.

  10. Share who agrees female household head should help children study Middle...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Share who agrees female household head should help children study Middle East 2022 [Dataset]. https://www.statista.com/statistics/1414729/middle-east-share-who-believes-female-household-head-should-help-children-study-by-country-and-gender/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Middle East, MENA
    Description

    Between 2021 and 2022, around ** percent of female respondents from Kuwait believed that the female household head is responsible for helping children study. At the same time, only ** percent of male Kuwaiti respondents shared the same opinion.

  11. Economic household head ratio

    • data.gov.tw
    csv
    Updated Sep 20, 2016
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    Department of Budget, Accounting and Statistics, New Taipei City Government (2016). Economic household head ratio [Dataset]. https://data.gov.tw/en/datasets/124460
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    csvAvailable download formats
    Dataset updated
    Sep 20, 2016
    Dataset provided by
    Department of Budget, Accounting and Statistics
    New Taipei Cityhttp://www.tpc.gov.tw/
    Authors
    Department of Budget, Accounting and Statistics, New Taipei City Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description
    1. New Taipei City's economic household head ratio (including gender)2. Unit: number of people3. For detailed explanations of each field, please refer to the electronic file of New Taipei City's gender statistics (website: http://www.bas.ntpc.gov.tw/home.jsp?idMTI5) or inquire with the Department of Budget, Accounting and Statistics.
  12. r

    HUS96 - Spell variables 1993-1996: Moves

    • researchdata.se
    • demo.researchdata.se
    • +1more
    Updated May 5, 2020
    + more versions
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    Anders Klevmarken; Lennart Flood (2020). HUS96 - Spell variables 1993-1996: Moves [Dataset]. http://doi.org/10.5878/002998
    Explore at:
    (414028), (892832), (641985), (337065), (251575), (404892), (1499371), (1219061), (355917), (519990), (349478), (663441)Available download formats
    Dataset updated
    May 5, 2020
    Dataset provided by
    University of Gothenburg
    Authors
    Anders Klevmarken; Lennart Flood
    Time period covered
    Jan 1, 1984 - Jan 1, 1998
    Area covered
    Sweden
    Description

    The Household Market and Nonmarket Activities (HUS) project started as a joint research project between the Industrial Institute for Economic and Social Research (IUI) and Göteborg University in 1980. The ambition was to build a consistent longitudinal micro data base on the use of time, money and public services of households. The first main survey was carried out in 1984. In addition to a contact interview with the selected individuals, all designated individuals participated in a personal interview and two telephone interviews. All respondents were asked about their family background, education, marital status, labor market experience, and employment. In addition, questions about the household were asked of the head of household, concerning family composition, child care, health status, housing, possession of vacation homes, cars, boats and other consumption durables. At the end of the personal interview the household head had to fill out a questionnaire including questions about financing of current home, construction costs for building a house, house value and loans, imputation of property values and loans, additions/renovations 1983, maintenance and repairs, leasing, sale of previous home, assets and liabilities, and non-taxable benefits. All the respondents had to fill out a questionnaire including questions about tax-return information 1983, employment income, and taxes and support payments. Two telephone interviews were used primarily to collect data on the household´s time use and consumption expenditures. The 1986 HUS-survey included both a follow-up of the 1984 sample (panel study) and a supplementary sample. The 1986 sample included 1) all respondents participating in the 1984 survey, 2) the household heads, partners and third persons who should have participated in 1984 but did not (1984 nonresponse), 3) those individuals who started living together after the 1984 interview with an selected individual who participated or was supposed to participate in 1984, 4) members of the 1984 household born in 1966 or 1967. If entering a new household, for example because of leaving their parental home, the household head and his/her partner were also interviewed. Respondents participating in the 1984 survey were interviewed by telephone in 1986. Questions dealt with changes in family composition, housing, employment, wages and child care, and it was not only recorded whether a change had occurred, and what sort of change, but also when it occurred. The respondents also received a questionnaire by mail with questions mainly concerning income and assets. Respondents not participating in the earlier survey were interviewed in person and were asked approximately the same questions as in the 1984 personal interview. The 1988 HUS-survey was considerably smaller than the previous ones. It was addressed exclusively to participants in the 1986 survey, and consisted of a self-enumerated questionnaire with a nonrespondent follow-up by telephone. The questions dealt with changes in housing conditions, employment and household composition. The questionnaire also contained some questions on household income. In many respect the 1991 HUS-survey replicated the 1988 survey. The questions were basically the same in content and range, and the survey was conducted as a self-enamurated questionnaire sent out by mail. This time, however, in contrast to the 1988 survey, an attempt was made to include in the survey the new household members who had moved into sample households since 1986, as well as young people who turned 18 after the 1986 survey. Earlier respondents received a questionnaire by mail containing questions about their home, their primary occupation and weekly work hours since May 1988 (event-history data), earnings in 1989, 1990 and 1991, household composition and any changes in it that might have occurred since 1988, child care and some questions on income. New respondents were also asked about their education and labor-market experience. With respect to its design and question wording, the 1993 survey is a new version of the 1986 survey. The survey is made up of four parts: 1) the panel survey, which was addressed mainly to respondents in the 1991 survey, with certain additions; 2) the so-called supplementary survey, which focused on a new random sample of individuals; 3) the so-called nonresponse survey, which encompassed respondents who had participated in at least one of the earlier surveys but had since dropped out; 4) the time-use survey, which included the same sample of respondents as those in the panel and supplementary surveys. Individuals in the nonresponse group were not included in the time-use survey. Most of the questions in the first three surveys were the same, but certain questions sequences were targeted to the respondents in a specific survey. Thus certain retrospective questions were asked of the nonresponse group, while specific questions on social background, labor market experience etc. were addressed to new respondents. In the case of respondents who had already participated in the panel, a combined contact and main interview was conducted by telephone, after which a self-enumerated questionnaire was sent out to each respondent by mail. The panel sample also included young people in panel households who were born in 1973 or 1974 as well as certain new household members who had not previously been interviewed. These individuals, like new respondents, were not interviewed by telephone until they had been interviewed personally. Thus technically they were treated in the same manner as individuals in the supplementary sample. The new supplementary sample was first contacted by telephone and then given a fairly lengthy personal interview, at the conclusion of which each respondent was asked to fill out a written questionnaire. In this respect the survey design for the nonresponse sample was the same as for the supplementary sample. The nonresponse sample also included young people born in 1973 or 1974 as well as certain new household members. The time-use interviews were conducted by telephone. For each respondent two days were chosen at random from the period from February 15, 1993 to February 14, 1994 and the respondents were interviewed about their time use during those two days. If possible, the time-use interviews were preceded by the other parts of the survey, but this was not always feasible. In each household the household head and spouse/partner were interviewed, as well as an additional person in certain households. Questions regarding the household as a whole were asked of only one person in the household, preferably the household head. As in earlier surveys, data from the interviews was subsequently supplemented by registry data, but only for those respondents who had given their express consent. There is registry information for 75-80 percent of the sample. The telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; and cars and boats. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1992. The 1996 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and environment. The questionnaire was divided into twelve sections: sale of previous home; acquisition of current home; construction costs for building a home; house value and loans; repairs; insurance; home-related expenses; sale of previous home; assets; household income; taxes; and respondent income 1995. The 1998 telephone interview is divided into following sections: administrative data; labor market experience; employment; job-seekers; not in labor force; education; family composition; child care; health status; other household members; housing conditions; vacation homes; cars and boats; and municipal service. The questionnaire was divided into nine sections: sale of previous home; house value and loans; insurance; home-related expenses; assets; household income; inheritances and gifts; black-market work; and respondent income 1997.

  13. Summary statistics: household head characteristics for the whole cohort and...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Jie Song; Hong Ji; Benchang Shia; Shuangge Ma (2023). Summary statistics: household head characteristics for the whole cohort and subgroups with different illness conditions. [Dataset]. http://doi.org/10.1371/journal.pone.0061068.t002
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jie Song; Hong Ji; Benchang Shia; Shuangge Ma
    License

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

    Description

    *Other occupation includes: government, student, self-employed, public or private company and others.

  14. Mafraq Household Head, Male

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Jun 23, 2022
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    Knoema (2022). Mafraq Household Head, Male [Dataset]. https://hi.knoema.com/atlas/%E3%83%A8%E3%83%AB%E3%83%80%E3%83%B3/mafraq/household-head-male
    Explore at:
    json, csv, sdmx, xlsAvailable download formats
    Dataset updated
    Jun 23, 2022
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2010 - 2021
    Area covered
    Mafraq
    Variables measured
    Household Head, Male
    Description

    84.9 (percent) in 2021.

  15. a

    BNS - Gender household head (WCS Maiko-Tayna-Kahuzi-Biega)

    • hub.arcgis.com
    Updated Mar 14, 2018
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    World Resources Institute (2018). BNS - Gender household head (WCS Maiko-Tayna-Kahuzi-Biega) [Dataset]. https://hub.arcgis.com/datasets/66eb3ffe82bc405b90680a62bc05eda9
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    Dataset updated
    Mar 14, 2018
    Dataset authored and provided by
    World Resources Institute
    Area covered
    Description

    This service shows gender of household head data aggreagted on village, district and lanscape level. Results are based on BNS surveys inMaiko-Tayna-Kahuzi-Biega Landscape by WCS for 2015 and 2017. In the table: Ratio = percentage of households with female or male head of household; N = sample.

  16. u

    Household Internet use, by location of use and age of household head -...

    • data.urbandatacentre.ca
    Updated Sep 30, 2024
    + more versions
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    (2024). Household Internet use, by location of use and age of household head - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-8622347e-cb04-41f3-9b20-3d33e75270bc
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    Dataset updated
    Sep 30, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Household Internet use survey, household Internet use by location of use and age of household head for Canada from 1997 to 2003. (Terminated)

  17. Zarqa Household Head, Female

    • hi.knoema.com
    csv, json, sdmx, xls
    Updated Aug 25, 2021
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    Knoema (2021). Zarqa Household Head, Female [Dataset]. https://hi.knoema.com/atlas/Jordania/Zarqa/Household-Head-Female
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    csv, sdmx, json, xlsAvailable download formats
    Dataset updated
    Aug 25, 2021
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2009 - 2020
    Area covered
    Zarqa
    Variables measured
    Household Head, Female
    Description

    20.1 (percent) in 2020.

  18. Ethiopia Age of the Household Head- per cluster - Dataset - SODMA Open Data...

    • sodma-dev.okfn.org
    Updated Jul 18, 2025
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    sodma-dev.okfn.org (2025). Ethiopia Age of the Household Head- per cluster - Dataset - SODMA Open Data Portal [Dataset]. https://sodma-dev.okfn.org/dataset/ethiopia-age-of-the-household-head-per-cluster
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Open Knowledge Foundationhttp://okfn.org/
    Somali Disaster Management Agencyhttps://sodma.gov.so/
    Area covered
    Ethiopia
    Description

    Ethiopia Age of the Household head per cluster , dataset in the susceptibility component , a spatial reolution of 0.05 pixels about 5000 metres , from the Demographic Health Survey (DHS)

  19. f

    S2 File -

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    txt
    Updated Oct 5, 2023
    + more versions
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    Tahir Mahmood; Ramesh Kumar; Tariq Mehmood Ali; Nawal Naeem; Sathirakorn Pongpanich (2023). S2 File - [Dataset]. http://doi.org/10.1371/journal.pone.0291343.s003
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    txtAvailable download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tahir Mahmood; Ramesh Kumar; Tariq Mehmood Ali; Nawal Naeem; Sathirakorn Pongpanich
    License

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

    Description

    Food insecurity is a major concern for the developing world and around 37% of the population of Pakistan is food insecure. This paper utilizes the Food Insecurity Experience Scale (FIES) to assess the population prevalence of food insecurity and to identify their risk factors and determinants at the household level in Pakistan. This study employs a multi-level random coefficient model, using the Pakistan Panel Household Survey (PPHS-2010) dataset; representative data from 4,130 households. Factors like; income of the household, gender, education, household size, land ownership, and shocks of food insecurity allow the incidence of idiosyncratic shocks (injuries and/or casualties) at the community level, which affects the food insecurity situation of the community, rather differently were included. The study confirms a statistically significant inverse relationship between household income, household size, and household head education with food insecurity and a positive association of shocks and inflation with food insecurity at the household level. Specifically, with increasing per capita income of the household, food insecurity declines (coefficient: -0.083, statistically significant at 1%) and food insecurity increases with shocks (coefficient: 0.058, statistically significant at 1% significance level). The study also reveals a significant heterogeneity at a one percent significance level in the determinants of food insecurity at the district, community, and household levels. The income of the household, household head gender and education level, household size, household assets, shocks, injuries, and inflationary pressure are important determinants of food insecurity in Pakistan.

  20. Households with home ownership Indonesia 2022, by household head's marital...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Households with home ownership Indonesia 2022, by household head's marital status [Dataset]. https://www.statista.com/statistics/1419105/indonesia-share-of-households-with-home-ownership-by-marriage-status-of-household-head/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Indonesia
    Description

    In 2022, nearly ** percent of Indonesian households led by unmarried individuals owned houses with certificates of ownership. In comparison, about ***** percent of married or divorced household heads owned a house with certificate.

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(2016). Percentage Distribution Of Households By Age And Sex Of Household Head [Dataset]. https://open.africa/pt_BR/dataset/groups/percentage-distribution-of-households-by-age-and-sex-of-household-head

Percentage Distribution Of Households By Age And Sex Of Household Head

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xml, rdf, csv, jsonAvailable download formats
Dataset updated
Nov 21, 2016
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

This dataset shows the distribution of households based on their age group, gender and household head.

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