GCRF Centre for Sustainable, Healthy and Learning Cities and Neighbourhoods: Household Survey and Neighbourhood Focus Group Data from Seven Asian and African Countries, 2021-2022

Wang, Y. P. , Kintrea, K. , Osborne, M. , Schweisfurth, M. , Mitchell, R. , Kamete, A. , Yao, J. , Stewart, A. , Ahmad, S. , Young, G., Nesterova, Y. , Everatt, D., Lynge, H., Abrahams, C., Turok, I., Scheba, A., Visagie, J., Manirakiza, V., Malonza, J., Nduwayezu, G., Mugabe, L., Nsabimana, A., Rutayisire, P., Nzayirambaho, M., Njunwa, J.K., Levira, F., Moshi, I., Msuya, I., Kundu, D., Sharma, P., Debnath, T., Roy, S., Sowgat, T., Islam, T., Shakil, I., Reyes, M., Gamboa, M., Rivera, R., Caluag, A., Manlapas, I., Racoma, D., Sun, T., Zhai, L., Li, C., Liu, Y., Wang, C., Zhang, L., Sun, X., Bhandari, R., Baffoe, G., Lawson, V. and Long, J. (2023) GCRF Centre for Sustainable, Healthy and Learning Cities and Neighbourhoods: Household Survey and Neighbourhood Focus Group Data from Seven Asian and African Countries, 2021-2022. [Data Collection]

Datacite DOI: 10.5255/UKDA-SN-855998

Collection description

In order to bring a thorough and comprehensive understanding of social, economic and environmental sustainability challenges faced by cities and local communities in the developing countries, the SHLC team conducted a major household survey followed by a neighbourhood focus group interview in seven Asian and African countries from late 2021 to early 2022. In each country the study includes two case study cities: one large city and one smaller regional cities. Within each case study cities, neighbourhoods were identified and categorised into five income and wealth bands: the rich, upper middle income, middle income, lower middle and low income neighbourhoods. A household survey was carried out face to face by trained interviewers with a random adult member of the household. The 20 page common questionnaire was designed and adopted by all teams, which cover topics of housing, residence, living conditions, migration, education, health, neighbourhood infrastructure, facilities, governance and relations, income and employments, gender equality and impacts from Covid-19. The sample was distributed in the city to representative the five neighbourhood types. The survey was completed in 13 of the 14 case study cities (fieldwork in Chongqing in China was delayed by the Covid-19 lockdowns and implemented in August 2023). The target sample for each city was 1000; the total sample in the database (SPSS and STATA) include 14245 households. The survey was followed by focus group interviews. A carefully designed and agreed common interview guide was used by all team. The target was to have one focus group for one neighbourhood in each income band in each city. A total of 74 focus group interviews were conducted (Fieldwork in Datong and Chongqing in China was delayed). The transcripts are the qualitative data shared here.

Funding:
Keywords: SUSTAINABILITY, SOCIAL INEQUALITY, SOUTH AFRICA, TANZANIA, RWANDA, INDIA, BANGLADESH, CHINA, PHILIPPINES, NEIGHBOURHOODS, HEALTH, EDUCATION, POPULATION MIGRATION
College / School: College of Social Sciences > School of Social and Political Sciences > Urban Studies
Date Deposited: 05 Oct 2023 09:51
URI: http://researchdata.gla.ac.uk/id/eprint/1507

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Wang, Y. P. , Kintrea, K. , Osborne, M. , Schweisfurth, M. , Mitchell, R. , Kamete, A. , Yao, J. , Stewart, A. , Ahmad, S. , Young, G., Nesterova, Y. , Everatt, D., Lynge, H., Abrahams, C., Turok, I., Scheba, A., Visagie, J., Manirakiza, V., Malonza, J., Nduwayezu, G., Mugabe, L., Nsabimana, A., Rutayisire, P., Nzayirambaho, M., Njunwa, J.K., Levira, F., Moshi, I., Msuya, I., Kundu, D., Sharma, P., Debnath, T., Roy, S., Sowgat, T., Islam, T., Shakil, I., Reyes, M., Gamboa, M., Rivera, R., Caluag, A., Manlapas, I., Racoma, D., Sun, T., Zhai, L., Li, C., Liu, Y., Wang, C., Zhang, L., Sun, X., Bhandari, R., Baffoe, G., Lawson, V. and Long, J. (2023); GCRF Centre for Sustainable, Healthy and Learning Cities and Neighbourhoods: Household Survey and Neighbourhood Focus Group Data from Seven Asian and African Countries, 2021-2022

UK Data Service

DOI: 10.5255/UKDA-SN-855998

Retrieved: 2024-02-23