Sustainable Cities Survey 2019, Maputo
Mozambique, 2018 - 2019
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Reference ID
moz-acc-scs-2019-v1
Producer(s)
Sylvia Croese
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Created on
Oct 09, 2020
Last modified
Oct 09, 2020
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Identification
Survey ID Number
moz-acc-scs-2019-v1
Title
Sustainable Cities Survey 2019, Maputo
Subtitle
Maputo
Country
| Name |
|---|
| Mozambique |
Study type
Household Survey [hh]
Abstract
The data was collected by the Project “Co-producing urban knowledge in Angola and Mozambique through community-led data collection: towards meeting SDG 11” based in the African Centre for Cities, at the University of Cape Town. The Project aimed to collect data on cities in the two Lusophone African countries to inform their national governments' attempts to achieve Sustainable Development Goals related to cities. The Project collected data from 1282 households in six neighbourhoods in the cities of Maputo and Luanda. Interviews and focus groups were also held in each of the neighbourhoods before (in the case of Maputo) and after (in the case of Luanda) the completion of the survey to collect qualitative data about the settlements. The survey findings were presented and discussed with local administrations and survey participants to triangulate and validate the results. The findings were then made available to national governments and other relevant stakeholders.
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals
Version
Version Description
Version 1: Edited, anonymised data.
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<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.
Version Date
2020-09-11
Scope
Notes
The survey collected data on households' knowledge of the SDGs, and demographic data (age, gender, marital status, disability status, education, employment, income, home language) as well as data on place of birth, number of children and internal migration. Data was also collected on housing and tenancy, energy sources, water sources, waste disposal, asset ownership, media use, transport, leisure, hygiene and the environment, as well as community and political participation
Coverage
Geographic Coverage
The data was collected from settlements within each city. In Luanda these settlements were: Km 12A in the district of Viana (n=310), Nova Urbaniza 2 in Panguila (n=148), and Cariango in Cazenga (n=224). In Maputo these were Luis Cabral (n=200), Hulene B (n=200) and Chamanculo C (n=200). These together represent a total of 1282 households.
Geographic Unit
The data is made available at the level of settlements within each city.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Sylvia Croese | African Centre for Cities, University of Cape Town |
Producers
| Name | Affiliation |
|---|---|
| Centre for Policy Analysis | Eduardo Mondlane University |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| LIRA 2030 Africa Programme | LIRA | Funding programme |
| International Science Council | ISC | Funding agency |
| Network of African Science Academies | NASAC | Funding agency |
| Swedish International Development Cooperation Agency | SIDA | Funding agency |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Social Sciences and Humanities Research Council | SSHC | Funding of tablets |
| International Development Research Centre | IDRC | Funding of tablets |
Sampling
Sampling Procedure
In both cities, three self-built settlements were selected for the surveys. These settlement types are home to the majority of, mostly low income, urban dwellers in both cities, as opposed to wealthier households who live in planned and formally laid-out houses and apartment buildings
Self-built settlements vary by location. built environment, and levels of access to basic services. The research sample was stratified to reflect this variation through the selection of three settlements with similar typologies in each city: an old settlement from colonial times, a more recently built or expanded settlement, and a settlement that had undergone urban upgrading.
Self-built settlements vary by location. built environment, and levels of access to basic services. The research sample was stratified to reflect this variation through the selection of three settlements with similar typologies in each city: an old settlement from colonial times, a more recently built or expanded settlement, and a settlement that had undergone urban upgrading.
Response Rate
Few participants declined to be interviewed. The enumerators would record the number of households they attempted to interview before completing a questionnaire (on average one house in Luanda and less than one In Maputo), but the data does not distinguish between refusal to participate or no one being at home.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2018-09 | 2018-10 | Luanda surveys |
| 2019-06 | 2019-07 | Maputo surveys |
Data Collection Mode
Face-to-face [f2f]
Supervision
Ethics approval for data collection was given on 7 September 2018 by the Ethics in Research (EiR) Department of the Faculty of Engineering and the Built Environment, University of Cape Town
Data Collection Notes
Surveys were conducted in Luanda in September and October 2018. In Maputo the surveys were conducted in June and July 2019. Stakeholder engagement was from August 2018 (Luanda) until November 2019 (Maputo).
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Support | University of Cape Town | support@data1st.org | www.support.data1st.org |
Access conditions
Public use files, available to all
Citation requirements
Croese, Sylvia. Sustainable Cities Survey 2019, Maputo [dataset]. Version 1. Cape Town: African Centre for Cities [producer]. Cape Town: DataFirst [distributor]. DOI: https://doi.org/10.25828/acd7-7q30
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | support.data1st.org |
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2020-10-01
DDI Document version
Version 1