100+ datasets found
  1. Women's Empowerment Index scores worldwide 2023, by region

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Women's Empowerment Index scores worldwide 2023, by region [Dataset]. https://www.statista.com/statistics/1419077/womens-empowerment-index-wei-region/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    The average Women's Empowerment Index (WEI) score worldwide is *****, meaning that globally, women are only empowered to achieve 60 percent of their full potential. Australia and New Zealand have the highest scores out of each region, while Sub-Saharan Africa has the lowest. Participation in decision-making is the lowest-scoring area for each region, and overall, no region has achieved a perfect score.

  2. o

    Data and Code for: "Women's Employment and Empowerment: Descriptive...

    • openicpsr.org
    Updated Apr 28, 2022
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    Madeline McKelway (2022). Data and Code for: "Women's Employment and Empowerment: Descriptive Evidence" [Dataset]. http://doi.org/10.3886/E169002V1
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    Dataset updated
    Apr 28, 2022
    Dataset provided by
    American Economic Association
    Authors
    Madeline McKelway
    License

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

    Time period covered
    2017 - 2018
    Area covered
    India, Uttar Pradesh
    Description

    It is widely believed that female employment and empowerment are intimately related. This paper presents relationships between women’s employment and various measures of their empowerment, using data from rural India. The measures capture several dimensions of empowerment, including control in economic decision-making, psychosocial aspects of empowerment, and women’s own internalization of a lesser status. A number of these measures correlate positively with women’s employment, supporting the notion that female employment and empowerment are closely linked.

  3. f

    Data from: Women empowerment through social innovation in indigenous social...

    • scielo.figshare.com
    xls
    Updated Jun 4, 2023
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    MARIO VAZQUEZ MAGUIRRE; GLORIA CAMACHO RUELAS; CONSUELO GARCIA DE LA TORRE (2023). Women empowerment through social innovation in indigenous social enterprises [Dataset]. http://doi.org/10.6084/m9.figshare.5792232.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELO journals
    Authors
    MARIO VAZQUEZ MAGUIRRE; GLORIA CAMACHO RUELAS; CONSUELO GARCIA DE LA TORRE
    License

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

    Description

    ABSTRACT Purpose: To explore innovative enabler mechanisms for women's empowerment in a social enterprise and how they promote local development in a Zapotec indigenous community, the third largest ethnic group in Mexico. Originality/gap/relevance/implications: This paper contributes to the extension of social entrepreneurship literature from a gender perspective, exploring the mechanisms that allow women to succeed in highly marginalized indigenous communities. Key methodological aspects: This paper follows a case study methodology, inductive approach and qualitative methods mainly through 70 in-depth interviews. Summary of key results: Although the male-dominated culture slows down the democratic and political empowerment of women in the community, mechanisms such as job stability, low-interest microcredits and gender-equality policies in the organization have triggered economic empowerment. Key considerations/conclusions: The creation of empowering mechanisms within the social enterprise has allowed the Zapotec community to prosper and increase its general wellbeing. Women have been particularly benefited since the organization has given them the opportunity to work, empowering them to create micro-enterprises and changing the prevailing culture towards a more equalitarian society. Increasing control of their source of income has improved women's willingness to participate in political and managerial decision-making, inspiring more women in the community to work at the organization.

  4. Percentage of gender gap closed worldwide 2025, by dimension

    • statista.com
    Updated Jun 12, 2025
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    Statista (2025). Percentage of gender gap closed worldwide 2025, by dimension [Dataset]. https://www.statista.com/statistics/1212006/percentage-of-the-gender-gap-closed-worldwide-by-dimension/
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    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Worldwide
    Description

    There are significant gender gaps across economic participation, educational attainment, health, survival, and political empowerment dimensions worldwide. According to the Global Gender Index, the global gender gap considering educational attainment as well as health and survival were almost closed as of 2025. By contrast, differences among men and women remained significantly larger on political empowerment, where only 22.9 percent of the gap was closed.

  5. Indicator 5.c.1: Proportion of countries with systems to track and make...

    • sdgs.amerigeoss.org
    Updated Aug 18, 2020
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    UN DESA Statistics Division (2020). Indicator 5.c.1: Proportion of countries with systems to track and make public allocations for gender equality and women's empowerment (percent) [Dataset]. https://sdgs.amerigeoss.org/items/e12401453c6f498dbda5661d5e8c0001
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    Dataset updated
    Aug 18, 2020
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Proportion of countries with systems to track and make public allocations for gender equality and women's empowerment (percent)Series Code: SG_GEN_EQPWNRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.c.1: Proportion of countries with systems to track and make public allocations for gender equality and women’s empowermentTarget 5.c: Adopt and strengthen sound policies and enforceable legislation for the promotion of gender equality and the empowerment of all women and girls at all levelsGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  6. Opinions on achieving gender equality in science and technology in...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Opinions on achieving gender equality in science and technology in Netherlands 2019 [Dataset]. https://www.statista.com/statistics/989801/opinions-on-achieving-gender-equality-in-science-and-technology-in-the-netherlands/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 21, 2018 - Jan 4, 2019
    Area covered
    Netherlands
    Description

    This statistic presents the opinions on achieving gender equality in science and technology in the Netherlands in 2019. According to data published by Ipsos, just under ** percent of Dutch respondents believe that not enough is being done to achieve gender equality in science and technology.

  7. H

    Data from: Database for women's empowerment indicators in Golfo de Fonseca,...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jan 24, 2024
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    Manuel Moreno; Juliana Muriel; Jennifer Twyman; Jennifer Wiegel; Judith Castro; Carlos Suazo; Maria Alejandra Garcia (2024). Database for women's empowerment indicators in Golfo de Fonseca, Honduras [Dataset]. http://doi.org/10.7910/DVN/MU3KQW
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Manuel Moreno; Juliana Muriel; Jennifer Twyman; Jennifer Wiegel; Judith Castro; Carlos Suazo; Maria Alejandra Garcia
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/MU3KQWhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/MU3KQW

    Time period covered
    Sep 2018 - Sep 2019
    Area covered
    Honduras
    Description

    This dataset contains relevant sex disaggregated data about gender roles, women's empowerment, and gender gaps in the production and processing nodes of three value chains: cashew, dairy and fruits in southern Honduras. The data was collected using an adapted version of the Women's Empowerment in Agricultural Index (WEAI) as part of the ‘Rural Market Opportunities' project implemented by Swisscontact and in partnership with the Alliance of Bioversity International and CIAT were initially used to inform the development of gender and social inclusion strategies for project interventions in agricultural value chains.

  8. H

    Data from: Bandwidth Depletion

    • dataverse.harvard.edu
    Updated Jan 6, 2025
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    Measures for Advancing Gender Equality (MAGNET) Initiative (2025). Bandwidth Depletion [Dataset]. http://doi.org/10.7910/DVN/XYEYKK
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 6, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Measures for Advancing Gender Equality (MAGNET) Initiative
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/XYEYKKhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.7910/DVN/XYEYKK

    Dataset funded by
    Gates Foundationhttp://gatesfoundation.org/
    Umbrella Facility for Gender Equality (UFGE)
    Description

    The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Cognitive bandwidth depletion and scarcity mindset are well-studied in laboratory settings, and there is strong evidence base for how it impacts poor people. Scarcity mindset induced by financial constraints may result in reduced bandwidth to attend to other pressing tasks, leading to trade-off thinking or giving preference to decisions that may have positive benefits for meeting immediate needs, but may result in negative impacts on longer-term well-being. Understanding bandwidth depletion could shed light on mechanisms behind why or how households prioritize certain decisions. Currently, there is limited evidence in non-Western contexts and from studies outside of laboratory settings, as well as a lack of measures that work in these contexts. This tool, Bandwidth Depletion, consists of a self-reported bandwidth scale and Simon’s circle task. This measurement tool is well suited for targeted thematic or impact evaluation surveys. Other variables that you may want to collect alongside the bandwidth depletion measure include education level, time use, household income, and food security. This data study includes following files. 1. A survey document (including implementation guidelines) 2. A statistical annex containing more information about the validation of the tool, as well as statistical guidance for analysis

  9. d

    Feed the Future Malawi: Baseline Household Survey, Household Data Used for...

    • datasets.ai
    • catalog.data.gov
    23, 40, 55, 8
    Updated Sep 11, 2024
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    US Agency for International Development (2024). Feed the Future Malawi: Baseline Household Survey, Household Data Used for the Women's Empowerment in Agriculture Index [Dataset]. https://datasets.ai/datasets/feed-the-future-malawi-baseline-household-survey-household-data-used-for-the-womens-empowe-e1d83
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    55, 23, 40, 8Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    US Agency for International Development
    Area covered
    Malawi
    Description

    This dataset describes data about the households that participated in this baseline survey collected for the express purpose of calculating the Women's Empowerment in Agriculture Index (WEAI). The spreadsheet has 233 columns and 4,880 rows. The Malawi Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in seven districts in the Central and Southern Regions: Mchinji, Lilongwe, Dedza, Ntcheu, Balaka, Machinga, and Mangochi. The PBS was conducted from November 14 to December 22, 2012. The overall objective of the survey is to provide baseline on data living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. A total of 3,397 households in the ZOI were interviewed for the PBS, and these households were spread across 126 rural standard enumeration areas (SEAs) in the seven districts.

  10. Women's Empowerment in Agriculture Index: Proof of Concept

    • catalog.data.gov
    Updated Jun 25, 2024
    + more versions
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    data.usaid.gov (2024). Women's Empowerment in Agriculture Index: Proof of Concept [Dataset]. https://catalog.data.gov/dataset/womens-empowerment-in-agriculture-index-proof-of-concept
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    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Description

    The index is a significant innovation in its field that measures multiple indicators of empowerment, and generates metrics that can be compared over time. It is the first tool of its kind. Piloted in 2011 and launched in February 2012, the US government is using the index to track change in women's empowerment that occurs as a direct or indirect result of Feed the Future interventions in targeted geographic zones within the initiative's 19 focus countries. Data for the WEAI will be collected every two years in all 19 countries, and baselines were collected in 2011 and 2012. USAID and partners will conduct data analyses to understand the relationships among empowerment, livelihoods, and food security, as well as relationships among the various components of the index. Feed the Future will also use the WEAI for impact evaluations of distinct projects to examine the effectiveness of different approaches and how they impact women and men. To protect the personal information of respondents, all personally identifiable information was removed. The data used for the proof of concept were drawn from a survey in Bangladesh available on this platform.

  11. w

    Sahel Women Empowerment and Demographic Dividend Initiative 2018 - Burkina...

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Jun 6, 2024
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    Harounan Kazianga (2024). Sahel Women Empowerment and Demographic Dividend Initiative 2018 - Burkina Faso [Dataset]. https://microdata.worldbank.org/index.php/catalog/6255
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    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Harounan Kazianga
    Omer Combary
    Time period covered
    2018
    Area covered
    Burkina Faso
    Description

    Abstract

    The Sahel Women Empowerment and Demographic Dividend (P150080) project in Burkina Faso focuses on advancing women's empowerment to spur demographic transition and mitigate gender disparities. This project seeks to empower young women by promoting entrepreneurship through business skills training and grants, and by enhancing access to reproductive health information and contraception, thereby aiming to lower fertility rates.

    The World Bank Africa Gender Innovation Lab, along with its partners, is conducting detailed impact evaluations of the SWEDD program’s key initiatives to gauge their effects on child marriage, fertility, and the empowerment of adolescent girls and young women.

    This data represents the first round of data collection (baseline) for the impact evaluation and include a household and community level surveys. The household level sample comprises 9857 households, 70,169 individuals and 9382 adolescent girls and young wives aged 24 living in the Boucle du Mouhoun and the East regions of Burkina Faso. The community level sample includes 175 villages.

    The insights derived from this survey could help policymakers develop strategies to: - Reduce fertility and child marriage by enhancing access to contraceptives and broadening reproductive health education. - Promote women’s empowerment by increasing their participation in economic activities

    This data is valuable for planners who focus on improving living standards, particularly for women. The Ministry of Women, National Solidarity, Family, and Humanitarian Action of Burkina Faso, along with District Authorities, Research Institutions, NGOs, and the general public, stand to benefit from this survey data.

    Geographic coverage

    Burkina Faso, Regions of Boucle du Mouhoun and East

    Analysis unit

    The unit of analysis is adolescent girls for the adolescent survey and households for the household survey.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    We randomly selected 200 villages from the 11 provinces in the two regions of the Boucle du Mouhoun and the East. The 200 villages were selected proportionally, based on the formula (Np/N)*200, where Np represents the number of eligible villages in the province and N the total number of eligible villages. 25 villages were later dropped because of lack of safety.

    A census was first administered in each village to identify eligible girls and young wives, as well as households with these eligible individuals. All households with at least one eligible person then constituted the universe from which the survey sample was drawn. In total 9857 households and 9382 girls and young wives were sampled. A village-level questionnaire was also administered.

    The objective of the baseline survey was to build a comprehensive dataset, which would serve as a reference point for the entire sample, before treatment and control assignment and program implementation.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The data consists of responses from households to questions pertaining to: 1. List of household members 2. Education of household members 3. Occupations of household members 4. Characteristics of housing and durable goods 5. Food security 6. Household head's aspirations, as well as those of a boy aged 12 to 24 7. Opinions on women's empowerment and gender equality

    The questionnaire administrated to girls contains the following sections: 1. Education 2. Marriage and children 3. Aspirations 4. Health and family planning 5. Knowledge of HIV/AIDS 6. Women's empowerment 7. Gender-based violence 8. Income-generating activities 9. Savings and credit 10. Personal relationships and social networks 11. Committee members and community participation

    The questionnaire administered at the village-level contains the following sections: 1. Social norms (marriage norms) 2. Ethnic and religious compositions 3. Economic infrastructures (markets and roads) 4. Social services a. Health b. Education

    The household questionnaire was administered to the head of the household or to an authorized person capable of answering questions about all individuals in the household. The adolescent questionnaire was administered to each eligible pre-selected individual within the household. Considering the modules of the adolescent questionnaire, it was only administered by female enumerators. The village-level questionnaire was administered to a group of three to five village leaders with enough knowledge of the village. The enumerators were instructed to include women in this group whenever possible. The questionnaires were written in French, translated into the local languages, and programmed on tablets in French using the CAPI program.

    Cleaning operations

    Data was anonymized through decoding and local suppression.

  12. L

    Latvia Women political empowerment - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 21, 2024
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    Globalen LLC (2024). Latvia Women political empowerment - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Latvia/women_political_empowerment_index/
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    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 21, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1990 - Dec 31, 2023
    Area covered
    Latvia
    Description

    Latvia: Women political empowerment index: The latest value from 2023 is 0.954 index points, a decline from 0.956 index points in 2022. In comparison, the world average is 0.728 index points, based on data from 171 countries. Historically, the average for Latvia from 1990 to 2023 is 0.931 index points. The minimum value, 0.748 index points, was reached in 1990 while the maximum of 0.959 index points was recorded in 2021.

  13. d

    Data from: Time-use Agency

    • search.dataone.org
    Updated Sep 24, 2024
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    Measures for Advancing Gender Equality (MAGNET) Initiative (2024). Time-use Agency [Dataset]. http://doi.org/10.7910/DVN/KKJBLW
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Measures for Advancing Gender Equality (MAGNET) Initiative
    Description

    The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Time allocations display highly gendered patterns across the globe. Women experience much higher levels of time poverty due to the disproportionate share of care and domestic work they bear. The standard time-use modules allow us to understand how individuals allocate their time across different activities. But they are silent on individuals’ preferences regarding such allocations. This tool aims to measure time-use agency, defined as the confidence in and the ability to make an act upon strategic choices about how to allocate one’s time. This data study includes following files. 1. A survey document (including implementation guidelines)

  14. d

    Data from: Rights when Land is Owned Jointly

    • dataone.org
    Updated Sep 24, 2024
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    Measures for Advancing Gender Equality (MAGNET) Initiative (2024). Rights when Land is Owned Jointly [Dataset]. http://doi.org/10.7910/DVN/4BASAU
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Measures for Advancing Gender Equality (MAGNET) Initiative
    Description

    The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Expanding women’s asset ownership is key not only for improving gender equality, but also for promoting economic development and wellbeing. But survey respondents often report owning assets jointly with others, including their spouses, children, and extended family. But it is not always clear what is meant by joint ownership and what rights or control the respondent has regarding the asset. Measuring the extent of women’s property rights also requires understanding the role played by joint ownership. This tool, Rights when Land is Owned Jointly, allows us to elicit subjective assessments regarding the rights of each member of a hypothetical married couple who own property jointly, with variations on the type of ownership (joint vs. sole), mode of acquisition, and selling rights. To fully understand individuals’ understanding of joint ownership, it is useful to have this tool alongside modules that solicit information on individual’s ownership of the asset. This data study includes following files. 1. A survey document (including implementation guidelines)

  15. Data from: Women's empowerment in agriculture index (WEAI) pilot II for...

    • data.wu.ac.at
    • dataverse.harvard.edu
    • +1more
    data file in stata
    Updated Jan 6, 2017
    + more versions
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    International Food Policy Research Institute (IFPRI) (2017). Women's empowerment in agriculture index (WEAI) pilot II for Bangladesh [Dataset]. https://data.wu.ac.at/schema/datahub_io/YjIxODFiYzktYWFlYy00ZmEwLThiZjgtOGYwNzgwODFjYTg4
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    data file in stataAvailable download formats
    Dataset updated
    Jan 6, 2017
    Dataset provided by
    International Food Policy Research Institutehttp://www.ifpri.org/
    License

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

    Area covered
    Bangladesh
    Description

    The Women’s Empowerment in Agriculture Index (WEAI) is a composite measurement tool that indicates women’s control over critical parts of their lives in the household, community, and economy. It allows us to identify women who are disempowered and understand how to increase autonomy and decisionmaking in key domains. The WEAI is also a useful tool for tracking progress toward gender equality, which is one of the Millennium Development Goals.

    The WEAI measures the empowerment, agenc y, and inclusion of women in the agriculture sector in an effort to identify ways to overcome those obstacles and constraints. The Index is a significant innovation in its field and aims to increase understanding of the connections between women’s empowerment, food security, and agricultural growth.

    The Bangladesh pilot was conducted in the south and south western regions of the country, close to the Indian border, in these districts: Barguna, Jessore, Khulna, Madaripur, and Patuakhali.

    The second pilot was conducted to develop and test a revised version of WEAI in the same districts as the original pilot. Sample villages were randomly assigned to receive either the original (1.1) or revised (2.0) versions of the questionnaire.

  16. Government spending in gender equality policy in Mexico 2021, by strategic...

    • statista.com
    Updated Aug 22, 2024
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    Statista (2024). Government spending in gender equality policy in Mexico 2021, by strategic theme [Dataset]. https://www.statista.com/statistics/1346946/programable-expenses-female-empowerment-by-strategic-theme-mexico/
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Mexico
    Description

    A total of 477,399 million Mexican pesos were programmed as economic expenditure by the federal Government for gender equality in Mexico in 2021. Of them, around 53,1333 million Mexican pesos were destined for the female economic empowerment.

  17. H

    Data from: Understanding the Meanings of Ownership

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jun 13, 2024
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    Measures for Advancing Gender Equality (MAGNET) Initiative (2024). Understanding the Meanings of Ownership [Dataset]. http://doi.org/10.7910/DVN/VM4PJY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 13, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Measures for Advancing Gender Equality (MAGNET) Initiative
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/VM4PJYhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/VM4PJY

    Dataset funded by
    Umbrella Facility for Gender Equality (UFGE)
    Bill and Melinda Gates Foundation (BMGF)
    Description

    The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. Expanding women’s asset ownership is key for improving gender equality and promoting economic development and well-being. A widespread challenge in data collection is that ownership can have different meanings across contexts, particularly regarding which components of the bundle of rights comprise ownership. Yet, surveys often implicitly assume that all rights are held by the same person. This tool, Understanding the Meanings of Ownership, allows us to elicit responses regarding subjective assessments of what ownership entails by presenting different scenarios in which the main premise is a woman owning a particular asset, but scenarios differ on the rights that women have over the asset. The multiple questions aim to assess how the answers may vary by type of asset and women’s status in the household (living with a partner, living with in-laws, living with her parents). To fully understand individuals’ understanding of ownership, it is useful to have this tool alongside modules that solicit information on individual’s ownership of the asset. This data study includes following files. 1. A survey document (including implementation guidelines) 2.Two files, CAPI_Choices and CAPI_Survey, along with the accompanying help files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook "CAPI_.xlsx" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.

  18. i

    Grant Giving Statistics for Girls and Women Empowerment Network

    • instrumentl.com
    Updated Dec 21, 2022
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    (2022). Grant Giving Statistics for Girls and Women Empowerment Network [Dataset]. https://www.instrumentl.com/990-report/girls-and-women-empowerment-network
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    Dataset updated
    Dec 21, 2022
    Description

    Financial overview and grant giving statistics of Girls and Women Empowerment Network

  19. d

    Data from: Asset Control and Benefits Scale

    • search.dataone.org
    Updated Sep 25, 2024
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    Measures for Advancing Gender Equality (MAGNET) Initiative (2024). Asset Control and Benefits Scale [Dataset]. http://doi.org/10.7910/DVN/MFE7GR
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Measures for Advancing Gender Equality (MAGNET) Initiative
    Description

    The Measures for Advancing Gender Equality (MAGNET) initiative aims to broaden and deepen the measurement of women’s agency, based on the development of new tools and rigorous testing and comparison of both new and existing methods for measuring agency, and promoting the adoption of these measures at scale. By increasing the availability of innovative meaningful measures of agency for a broad range of contexts, we hope our work will lead to an improved understanding of what women’s agency is, how it manifests and how it can best be measured across contexts given the research question at hand. There are myriad definitions of ownership, control, benefit, and use of assets (e.g., right to access the resource, exploit for economic benefit, right to transfer, right to bequeath, etc.,). A common challenge in survey implementation is the significant cost, both in terms of duration and budget, that collecting a full roster of assets and asset rights might involve. The Asset Control and Benefits Scale aims to simplify the process by measuring with Likert-agreement items the construct of control and benefits over assets including land, livestock, phone, mode of transportation, and large household appliances. This scale is suited for surveys run by NSOs, other nationally representative individual- or household-level surveys, and for targeted thematic or impact evaluation surveys designed to understand individuals' agency and decision-making. This data study includes following files. 1. A survey document (including implementation guidelines). 2. Two files, CAPI_Choices and CAPI_Survey, along with the accompanying help files, can be used to construct a CAPI program ready for survey implementation. Alternatively, users can use an Excel workbook "CAPI_.xlsx" that includes worksheets for survey and choices, along with others, for constructing a CAPI program ready for survey implementation.

  20. i

    Grant Giving Statistics for Women for Empowerment Inc.

    • instrumentl.com
    Updated Mar 17, 2025
    + more versions
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    (2025). Grant Giving Statistics for Women for Empowerment Inc. [Dataset]. https://www.instrumentl.com/990-report/women-for-empowerment-inc
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    Dataset updated
    Mar 17, 2025
    Description

    Financial overview and grant giving statistics of Women for Empowerment Inc.

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Statista (2025). Women's Empowerment Index scores worldwide 2023, by region [Dataset]. https://www.statista.com/statistics/1419077/womens-empowerment-index-wei-region/
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Women's Empowerment Index scores worldwide 2023, by region

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Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Worldwide
Description

The average Women's Empowerment Index (WEI) score worldwide is *****, meaning that globally, women are only empowered to achieve 60 percent of their full potential. Australia and New Zealand have the highest scores out of each region, while Sub-Saharan Africa has the lowest. Participation in decision-making is the lowest-scoring area for each region, and overall, no region has achieved a perfect score.

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