Sustainable Cities Survey, Luanda 2018

Angola, 2018 - 2019

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Reference ID

ago-acc-scs-2018-v1

DOI

https://doi.org/10.25828/ed1q-2q89

Producer(s)

Sylvia Croese

Collections

African Centre for Cities

Metadata

Documentation in PDF DDI/XML JSON

Created on

Oct 08, 2020

Last modified

Aug 23, 2024

Page views

59139

Downloads

2415

Identification

Survey ID number

ago-acc-scs-2018-v1

Title

Sustainable Cities Survey

Subtitle

Luanda 2018

Country

Name
Angola

Study type

Household Survey [hh]

Series Information

Croese, Sylvia. Sustainable Cities Survey 2018, Luanda [dataset]. Version 1. Cape Town: African Centre for Cities [producer]. Cape Town: DataFirst [distributor]. DOI: https://doi.org/10.25828/ed1q-2q89

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. The Project was funded by the International Science Council research funding programme, Leading Integrated Research for Agenda 2030 in Africa (LIRA 2030 AFRICA).

Kind of Data

Sample survey data

Unit of Analysis

Households and individuals

Version

Version Description

Version 1: Edited, anonymised data.
<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
Development Workshop Angola

Funding Agency/Sponsor

Name	Role
Leading Integrated Research for Agenda 2030 in Africa Programme	Funding programme
International Science Council	Funding agency
Network of African Science Academies	Funding agency
Swedish International Development Cooperation Agency	Funding agency

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.

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.

Survey instrument

Questionnaires

A standardised questionnaire was used to collect data from both cities. However, further questions were asked in Luanda. But only the data from the harmonised questions is provided in this dataset.

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

Access authority

Name	Affiliation	URL	Email
DataFirst	University of Cape Town		support@data1st.org

Access conditions

Public use files, available to all

Citation requirements

Croese, Sylvia. Sustainable Cities Survey, Luanda 2018 [dataset]. Version 1. Cape Town: African Centre for Cities [producer]. Cape Town: DataFirst [distributor]. DOI: https://doi.org/10.25828/ed1q-2q89

Contacts

Name	Affiliation	Email	URL
DataFirst Support	University of Cape Town	support@data1st.org

Metadata production

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata producer

Date of Metadata Production

2024-08-23

Metadata version

DDI Document version

Version 6

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