Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33293
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dc.contributor.authorBaafi, JAA-
dc.contributor.authorSear, R-
dc.contributor.authorMcLean, E-
dc.contributor.authorAwusabo-Asare, K-
dc.contributor.authorHassan, A-
dc.contributor.authorAchana, FS-
dc.contributor.authorWalters, S-
dc.date.accessioned2026-05-14T17:54:23Z-
dc.date.available2026-05-14T17:54:23Z-
dc.date.issued2025-05-21-
dc.identifierORCiD: Rebecca Sear https://orcid.org/0000-0002-4315-0223-
dc.identifier.citationBaafi, J.A.A. et al. (2025) 'Household structure in Ghana: Exploring dynamics over three decades', Demographic Research, 52, 30, pp. 971–1022. doi: 10.4054/demres.2025.52.30.en-GB
dc.identifier.issn1435-9871-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/33293-
dc.descriptionEthical consideration: Ethical approval for this research is sought from the London School of Hygiene and Tropical Medicine’s Research Ethics Committee (LSHTM ethics reference 27955). We also followed appropriate registration and data request procedures from the Ghana Statistical Service, IPUMS International, and the DHS program to access census and survey data, adhering to user agreement terms in not redistributing data downloaded from institutional websites. Three rounds of the census (2000–2021) were obtained from the Ghana Statistical Service website, www.statsghana.gov.gh. The 1984 census was retrieved from IPUMS International, https://international.ipums.org. The surveys were downloaded from the DHS database website, https://dhsprogram.com/data/availabledatasets.cfm. All data are freely accessible from their respective websites upon request.en-GB
dc.description.abstractBackground: The nuclear convergence hypothesis proposes that development and urbanisation lead to increasing proportions of nuclear families. We explore this hypothesis in Ghana by charting household living arrangements as captured in censuses and surveys. Objective: To classify household structure in Ghana and track trends to test whether households converge towards nucleation during processes of development and urbanisation. Methods: We employ two methods of classification – manual and data-driven (latent class analysis) – to create household structures using Ghana’s censuses (1984–2021) and Demographic and Health Surveys (1993–2022). We explore trends over time and compare urban and rural areas to track nuclear convergence while documenting the differences and similarities between data sources and methods of classification. Results: We find that though the manual and data-driven approaches produce similar results, the latter is vulnerable to possible misclassification. From the manual approach, we identify seven different typologies of household structure in Ghana and find that, on average, a substantial proportion are core nuclear (couple with children only), other extended (non-multigenerational), and single-member households. Overall, we find weak evidence for nuclear convergence. There has not been a significant shift in the average distribution of household types in Ghana, and in urban areas there is a growing proportion of multigenerational extended households, with region-based peculiarities. We also observe that the surveys provide more reliable evidence on trends than the censuses do. Contribution: There is no strong evidence to support nuclear convergence in Ghana. We make a methodological contribution, highlighting that the use of data-driven methods for household classification needs to be approached with caution.en-GB
dc.description.sponsorshipThis research was funded by the Economic and Social Research Council, UK (Grant ES/P000592/1).en-GB
dc.format.extentpp. 971–1022-
dc.format.mediumPrint-Electronic-
dc.languageEnglishen-GB
dc.language.isoengen-GB
dc.publisherMax Planck Societyen-GB
dc.titleHousehold structure in Ghana: Exploring dynamics over three decadesen-GB
dc.typeArticleen-GB
dc.identifier.doihttps://doi.org/10.4054/demres.2025.52.30-
dc.relation.isPartOfDemographic Research-
pubs.publication-statusPublished-
pubs.volume52-
dc.identifier.eissn1435-9871-
dc.contributor.orcidSear, Rebecca [0000-0002-4315-0223]-
dc.identifier.number30-
Appears in Collections:Department of Life Sciences Research Papers

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