100+ datasets found
  1. C

    Wealth index data

    • dataverse.csuc.cat
    tsv, txt
    Updated Mar 22, 2023
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    Achla Marathe; Achla Marathe; Aina Casellas; Aina Casellas; Carlos Chaccour; Carlos Chaccour; Cassidy Rist; Cassidy Rist; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Paula Ruiz-Castillo; Paula Ruiz-Castillo; Regina Rabinovich; Regina Rabinovich; Saimado Imputiua; Victor Mutepa; Xinwei Deng; Xinwei Deng; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Saimado Imputiua; Victor Mutepa (2023). Wealth index data [Dataset]. http://doi.org/10.34810/data682
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    tsv(5252391), tsv(7022), txt(3824), tsv(4804875), tsv(1400)Available download formats
    Dataset updated
    Mar 22, 2023
    Dataset provided by
    CORA.Repositori de Dades de Recerca
    Authors
    Achla Marathe; Achla Marathe; Aina Casellas; Aina Casellas; Carlos Chaccour; Carlos Chaccour; Cassidy Rist; Cassidy Rist; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Paula Ruiz-Castillo; Paula Ruiz-Castillo; Regina Rabinovich; Regina Rabinovich; Saimado Imputiua; Victor Mutepa; Xinwei Deng; Xinwei Deng; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Saimado Imputiua; Victor Mutepa
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Oct 1, 2020 - Mar 1, 2021
    Area covered
    Mozambique, Mopeia, Zambezia
    Description

    Data corresponding to household socioeconomic characteristics collected in a demographic survey conducted in Mopeia district (Zambezia province, Mozambique).

  2. Pooled multivariable regression estimates of the association between wealth...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jay P. Graham; Maneet Kaur; Marc A. Jeuland (2023). Pooled multivariable regression estimates of the association between wealth and EHA access, across different definitions of the wealth index; for countries with multiple rounds (Panel A) and latest data from all countries (Panel B). [Dataset]. http://doi.org/10.1371/journal.pone.0207339.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jay P. Graham; Maneet Kaur; Marc A. Jeuland
    License

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

    Description

    Pooled multivariable regression estimates of the association between wealth and EHA access, across different definitions of the wealth index; for countries with multiple rounds (Panel A) and latest data from all countries (Panel B).

  3. F

    All Sectors; U.S. Wealth, Percent Change in Index

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). All Sectors; U.S. Wealth, Percent Change in Index [Dataset]. https://fred.stlouisfed.org/series/BOGZ1PC892090005Q
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for All Sectors; U.S. Wealth, Percent Change in Index (BOGZ1PC892090005Q) from Q4 1946 to Q4 2024 about wealth, sector, and USA.

  4. Countries with the highest wealth per adult 2023

    • statista.com
    Updated Jun 16, 2025
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    Statista (2025). Countries with the highest wealth per adult 2023 [Dataset]. https://www.statista.com/statistics/203941/countries-with-the-highest-wealth-per-adult/
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    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    In 2023, Switzerland led the ranking of countries with the highest average wealth per adult, with approximately ******* U.S. dollars per person. Luxembourg was ranked second with an average wealth of around ******* U.S. dollars per adult, followed by Hong Kong SAR. However, the figures do not show the actual distribution of wealth. The Gini index shows wealth disparities in countries worldwide. Does wealth guarantee a longer life? As the old adage goes, “money can’t buy you happiness”, yet wealth and income are continuously correlated to the quality of life of individuals in different countries around the world. While greater levels of wealth may not guarantee a higher quality of life, it certainly increases an individual’s chances of having a longer one. Although they do not show the whole picture, life expectancy at birth is higher in the wealthier world regions. Does money bring happiness? A number of the world’s happiest nations also feature in the list of those countries for which average income was highest. Finland, however, which was the happiest country worldwide in 2022, is missing from the list of the top twenty countries with the highest wealth per adult. As such, the explanation for this may be the fact that the larger proportion of the population has access to a high income relative to global levels. Measures of quality of life Criticism of the use of income or wealth as a proxy for quality of life led to the creation of the United Nations’ Human Development Index. Although income is included within the index, it also has other factors taken into account, such as health and education. As such, the countries with the highest human development index can be correlated to those with the highest income levels. That said, none of the above measures seek to assess the physical and mental environmental impact of a high quality of life sourced through high incomes. The happy planet index demonstrates that the inclusion of experienced well-being and ecological footprint in place of income and other proxies for quality of life results in many of the world’s materially poorer nations being included in the happiest.

  5. F

    All Sectors; U.S. Wealth, Percent Change in Index

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). All Sectors; U.S. Wealth, Percent Change in Index [Dataset]. https://fred.stlouisfed.org/series/BOGZ1PC892090005A
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for All Sectors; U.S. Wealth, Percent Change in Index (BOGZ1PC892090005A) from 1946 to 2024 about wealth, sector, and USA.

  6. Wealth index quintile share of the rural household population in Ghana 2018

    • ai-chatbox.pro
    • statista.com
    Updated Mar 13, 2024
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    Doris Dokua Sasu (2024). Wealth index quintile share of the rural household population in Ghana 2018 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F7645%2Fdemographics-of-ghana%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Mar 13, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Doris Dokua Sasu
    Area covered
    Ghana
    Description

    In Ghana, the share of wealth index quintile among rural households was highest in the category of the poorest (33.5 percent), whereas the lowest percentage was achieved for the richest group. Furthermore, more than half of the given population fell below the middle quintile. Overall, contrary to rural household wealth quintiles which are low within the category of the richest, urban ones are higher among the poorest group.

  7. C

    China Banks' Wealth Management Product: Wealth Index

    • ceicdata.com
    Updated Mar 13, 2018
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    CEICdata.com (2018). China Banks' Wealth Management Product: Wealth Index [Dataset]. https://www.ceicdata.com/en/china/banks-wealth-management-product-index-series
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    Dataset updated
    Mar 13, 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
    Jul 1, 2017 - May 1, 2018
    Area covered
    China
    Description

    Banks' Wealth Management Product: Wealth Index data was reported at 110.640 Jan2016=100 in May 2018. This records an increase from the previous number of 110.220 Jan2016=100 for Apr 2018. Banks' Wealth Management Product: Wealth Index data is updated monthly, averaging 108.490 Jan2016=100 from Jul 2017 (Median) to May 2018, with 11 observations. The data reached an all-time high of 110.640 Jan2016=100 in May 2018 and a record low of 106.480 Jan2016=100 in Jul 2017. Banks' Wealth Management Product: Wealth Index data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Banks' Wealth Management Product: Index Series.

  8. f

    Principal component analysis (PCA) for SHINE wealth indices.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Bernard Chasekwa; John A. Maluccio; Robert Ntozini; Lawrence H. Moulton; Fan Wu; Laura E. Smith; Cynthia R. Matare; Rebecca J. Stoltzfus; Mduduzi N. N. Mbuya; James M. Tielsch; Stephanie L. Martin; Andrew D. Jones; Jean H. Humphrey; Katherine Fielding (2023). Principal component analysis (PCA) for SHINE wealth indices. [Dataset]. http://doi.org/10.1371/journal.pone.0199393.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bernard Chasekwa; John A. Maluccio; Robert Ntozini; Lawrence H. Moulton; Fan Wu; Laura E. Smith; Cynthia R. Matare; Rebecca J. Stoltzfus; Mduduzi N. N. Mbuya; James M. Tielsch; Stephanie L. Martin; Andrew D. Jones; Jean H. Humphrey; Katherine Fielding
    License

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

    Description

    Principal component analysis (PCA) for SHINE wealth indices.

  9. g

    Mean International Wealth Index (IWI) score of region

    • globaldatalab.org
    utf-8
    Updated Apr 25, 2025
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    Global Data Lab (2025). Mean International Wealth Index (IWI) score of region [Dataset]. https://globaldatalab.org/wealth/iwi/BRB/
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    utf-8Available download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Global Data Lab
    Time period covered
    1992 - 2023
    Description

    The international Wealth Index is an asset-based wealth index that runs from 0 (no assets) to 100 (all assets) and is comparable across place and time

  10. f

    Decile cut-off values from regional, state and rural/urban distributions of...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
    + more versions
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    Diego G. Bassani; Daniel J. Corsi; Michelle F. Gaffey; Aluisio J. D. Barros (2023). Decile cut-off values from regional, state and rural/urban distributions of the national wealth index score calculated from the NFHS-1 survey (1992–3) household sample. [Dataset]. http://doi.org/10.1371/journal.pone.0110694.t009
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Diego G. Bassani; Daniel J. Corsi; Michelle F. Gaffey; Aluisio J. D. Barros
    License

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

    Description

    Decile cut-off values from regional, state and rural/urban distributions of the national wealth index score calculated from the NFHS-1 survey (1992–3) household sample.

  11. e

    Income and wealth – index of municipalities

    • data.europa.eu
    json
    Updated Mar 12, 2024
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    Rådet för främjande av kommunala analyser - Kolada (2024). Income and wealth – index of municipalities [Dataset]. https://data.europa.eu/data/datasets/http-api-kolada-se-v2-kpi-n00304?locale=en
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    jsonAvailable download formats
    Dataset updated
    Mar 12, 2024
    Dataset authored and provided by
    Rådet för främjande av kommunala analyser - Kolada
    Description

    Municipal index for the theme Income and wealth is based on the indicators Indigenous 0-19 years in economically vulnerable households, share (%), Population aged 18-64 with low income, share (%), Net income, median income for residents in Sweden all year 20+ years, tkr, inhabitants 16-84 years who have experienced economic crisis, share (%). The KPIs are normalised so that all municipalities’ values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the normalised indicator values are weighed together into indices at aspect level (currently, the theme is based on indicators in two aspects). This is done with averages, all indicators weighed together with the same weight in each aspect. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. The weighting is equal for all aspects of the theme.

  12. g

    Development Economics Data Group - Domestic comprehensive wealth index |...

    • gimi9.com
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    Development Economics Data Group - Domestic comprehensive wealth index | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_cwon_nw_dow/
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    License

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

    Description

    The domestic comprehensive wealth index excludes net foreign financial assets and aggregates produced capital, nonrenewable and renewable natural capital, and human capital.

  13. Highest wealth index share in south Indian households 2014

    • statista.com
    Updated Jun 20, 2016
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    Statista (2016). Highest wealth index share in south Indian households 2014 [Dataset]. https://www.statista.com/statistics/679789/highest-wealth-index-among-southern-states-india/
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    Dataset updated
    Jun 20, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2013 - May 2014
    Area covered
    India
    Description

    This statistic describes the results of a survey among households across south Indian states about the highest wealth index in 2013-14. Among households in the state of Tamil Nadu, about 18 percent accounted for the highest category in the wealth index. In this region, Kerala had the largest share of wealthy households during the survey period.

  14. f

    Assets selected to create a national wealth index from the NFHS-1 (1992–3)...

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
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    Diego G. Bassani; Daniel J. Corsi; Michelle F. Gaffey; Aluisio J. D. Barros (2023). Assets selected to create a national wealth index from the NFHS-1 (1992–3) survey, with coding definitions. [Dataset]. http://doi.org/10.1371/journal.pone.0110694.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Diego G. Bassani; Daniel J. Corsi; Michelle F. Gaffey; Aluisio J. D. Barros
    License

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

    Description

    SD: Standard Deviation.Assets selected to create a national wealth index from the NFHS-1 (1992–3) survey, with coding definitions.

  15. f

    Household Wealth Index for the community participants.

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Joëlle Castellani; Borislava Mihaylova; Silvia M. A. A. Evers; Aggie T. G. Paulus; Zakayo E. Mrango; Omari Kimbute; Joseph P. Shishira; Francis Mulokozi; Max Petzold; Jan Singlovic; Melba Gomes (2023). Household Wealth Index for the community participants. [Dataset]. http://doi.org/10.1371/journal.pone.0122386.t002
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joëlle Castellani; Borislava Mihaylova; Silvia M. A. A. Evers; Aggie T. G. Paulus; Zakayo E. Mrango; Omari Kimbute; Joseph P. Shishira; Francis Mulokozi; Max Petzold; Jan Singlovic; Melba Gomes
    License

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

    Description

    *Estimated using information on household possessions (table, radio, lantern, bicycle and iron) and food problems.Household Wealth Index for the community participants.

  16. Wealth index share in Hindu households in India 2014

    • statista.com
    Updated Jun 20, 2016
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    Statista (2016). Wealth index share in Hindu households in India 2014 [Dataset]. https://www.statista.com/statistics/678852/wealth-index-among-hindu-households-in-india/
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    Dataset updated
    Jun 20, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2013 - May 2014
    Area covered
    India
    Description

    This statistic describes the results of a survey among Hindu households across India about the wealth index in 2013-14. Among Hindu households, about 20 percent accounted for the lowest category in the wealth index during the survey period.

  17. a

    BNS - Wealth index (WCS Salonga)

    • carpe-worldresources.opendata.arcgis.com
    Updated May 9, 2018
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    World Resources Institute (2018). BNS - Wealth index (WCS Salonga) [Dataset]. https://carpe-worldresources.opendata.arcgis.com/items/147f31d815bb4d02a9548841f49073fc
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    Dataset updated
    May 9, 2018
    Dataset authored and provided by
    World Resources Institute
    Area covered
    Description

    This service shows wealth index data aggreagted on village, district and lanscape level. Results are based on BNS surveys in Salonga-Lukenie-Sankuru Landscape by WCS for 2015 and 2017. In the table: avg = average; idx = index; stddev = standard deviation; N = sample.

  18. Highest wealth index share in north and central Indian households 2014

    • statista.com
    Updated Jun 20, 2016
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    Statista (2016). Highest wealth index share in north and central Indian households 2014 [Dataset]. https://www.statista.com/statistics/679777/highest-wealth-index-among-northern-states-india/
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    Dataset updated
    Jun 20, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2013 - May 2014
    Area covered
    India
    Description

    This statistic describes the results of a survey among households across north and central Indian states about the highest wealth index in 2013-14. Among households in the state of Uttar Pradesh, about 18 percent accounted for the highest category in the wealth index. In this region, Delhi had the largest share of wealthy households during the survey period.

  19. a

    BNS - Wealth index (WCS Lactele)

    • carpe-worldresources.opendata.arcgis.com
    Updated May 9, 2018
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    World Resources Institute (2018). BNS - Wealth index (WCS Lactele) [Dataset]. https://carpe-worldresources.opendata.arcgis.com/items/e0c42872b0be4fbbb0f74922f1fbf695
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    Dataset updated
    May 9, 2018
    Dataset authored and provided by
    World Resources Institute
    Area covered
    Description

    This service shows Wealth data aggreagted on village, district and lanscape level. Results are based on BNS surveys in Lac Télé Landscape by WCS for 2015 and 2017. In the table: avg = average; idx = index; stddev = standard deviation; N = sample.

  20. Lowest wealth index share in Indian households - by religion 2014

    • statista.com
    Updated Jun 20, 2016
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    Statista (2016). Lowest wealth index share in Indian households - by religion 2014 [Dataset]. https://www.statista.com/statistics/678911/lowest-wealth-index-by-religion-india/
    Explore at:
    Dataset updated
    Jun 20, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2013 - May 2014
    Area covered
    India
    Description

    This statistic describes the results of a survey among households across India about the lowest wealth index in 2013-14, based on religion. Among Hindu households, about 20 percent accounted for the lowest category in the wealth index during the survey period.

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Achla Marathe; Achla Marathe; Aina Casellas; Aina Casellas; Carlos Chaccour; Carlos Chaccour; Cassidy Rist; Cassidy Rist; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Paula Ruiz-Castillo; Paula Ruiz-Castillo; Regina Rabinovich; Regina Rabinovich; Saimado Imputiua; Victor Mutepa; Xinwei Deng; Xinwei Deng; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Saimado Imputiua; Victor Mutepa (2023). Wealth index data [Dataset]. http://doi.org/10.34810/data682

Wealth index data

Explore at:
tsv(5252391), tsv(7022), txt(3824), tsv(4804875), tsv(1400)Available download formats
Dataset updated
Mar 22, 2023
Dataset provided by
CORA.Repositori de Dades de Recerca
Authors
Achla Marathe; Achla Marathe; Aina Casellas; Aina Casellas; Carlos Chaccour; Carlos Chaccour; Cassidy Rist; Cassidy Rist; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Paula Ruiz-Castillo; Paula Ruiz-Castillo; Regina Rabinovich; Regina Rabinovich; Saimado Imputiua; Victor Mutepa; Xinwei Deng; Xinwei Deng; Charfudin Sacoor; Edgar Jamisse; Eldo Elobolobo; Felisbela Materrula; Francisco Saute; Humberto Munguambe; Julia Montana; Kexin Xie; Mussa Sale; Patricia Nicolas; Saimado Imputiua; Victor Mutepa
License

Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically

Time period covered
Oct 1, 2020 - Mar 1, 2021
Area covered
Mozambique, Mopeia, Zambezia
Description

Data corresponding to household socioeconomic characteristics collected in a demographic survey conducted in Mopeia district (Zambezia province, Mozambique).

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