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Household-level data on well-being, inequalities, and social capital in Western Province, Zambia
- 1.0587759 - ÚVGZ 2025 RIV NL eng J - Journal Article
Schlossarek, M. - Harmáček, J. - Dušková, L. - Suchá, Lenka
Household-level data on well-being, inequalities, and social capital in Western Province, Zambia.
Data in Brief. Roč. 54, JUN (2024), č. článku 110504. ISSN 2352-3409
R&D Projects: GA TA ČR(CZ) TL05000162
Institutional support: RVO:86652079
Keywords : Human development * Intra-household inequalities * Deprivations * Decision-making power * Aspirations government perceptions
OECD category: Environmental sciences (social aspects)
Impact factor: 1.2, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S2352340924004736?via%3Dihub
This article presents survey data from households from the Muoyo-Mukukutu area in Western Province, Zambia based on stratified sampling. Data from 411 households were collected using a questionnaire survey from 2022. Understanding the complexities of well-being is crucial for informing policies to enhance the quality of life and reduce multidimensional poverty in developing countries. Hence, the survey focuses on subjective and objective well-being and their determinants. Survey data contains details on various dimensions of objective well-being, such as living standards, health, and nutrition. It also covers the issue of subjective well-being (life satisfaction), including the related concept of freedom of choice. Moreover, we collected detailed information about diverse forms of inequalities and deprivations at the societal and intra-household level, paying particular attention to the areas of social capital and decisionmaking power. Additionally, the data contain details about the relationships with and attitudes to traditional leaders and statutory government representatives, respondents' economic activities and aspirations (with a special focus on agriculture), and their various socio-demographic characteristics. Individual survey results can be compared with a robust set of data as we inten tionally used questions applied in other international surveys when possible. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
Permanent Link: https://hdl.handle.net/11104/0354855
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