Household-level data on well-being, inequalities, and social capital in Western Province, Zambia

0587226 - 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: Sociology
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 decision-making 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 intentionally used questions applied in other international surveys when possible.
Permanent Link: https://hdl.handle.net/11104/0354495