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May 25, 20260 citationsOpen Access

Development of census output areas with AZTool in South Africa

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HCHuman Sciences Research Council

Key Points

  • The study aims to develop optimized census output areas using AZTool, enhancing data collection and analysis.
  • Created output areas using the Automated Zone-design Tool (AZTool) program based on 2001 census enumeration areas.
  • Analyzed urban and rural settings in two South African provinces for both geographical stability and data confidentiality.
  • Assessed homogeneity of newly created output areas using intra-area correlation values.
  • Confidentiality limit of 500 people was maintained across all geographical levels.
  • Intra-area correlation of 0.62 indicated good social homogeneity for the optimized output areas in the provinces combined.
  • Higher geographical levels generated more homogeneous output areas compared to lower levels, improving data usability.

Abstract

The use of a single geographical unit to both collect and disseminate census data is common in many countries across the world, especially in developing countries. In South Africa this approach poses some challenges, as the design of small geographical units called enumeration areas to facilitate data collection differs considerably from the design of units that aid data analysis and interpretation. We aimed to create optimised census output areas using the Automated Zone-design Tool (AZTool) program, using the 2001 census enumeration areas as building blocks at various spatial levels, for both rural and urban settings in two South African provinces. The results were consistent and stable. The primary criterion of the confidentiality limit of 500 people was respected at all geographical levels or regions, in both urban and rural settings, for newly created optimised output areas. For the second criterion, lower intra-area correlation values at lower geographical levels for both rural and urban areas showed that higher geographical levels produced more homogeneous output areas than did lower geographical levels or regions. Our obtained intra-area correlation of 0.62 for the two provinces combined indicated that the selected homogeneity variables were good indicators of social homogeneity for creating optimised output areas in South Africa. We conclude that the AZTool software can be used to effectively and objectively create optimised output areas for South African data. Further research on the comparison of the newly created output areas with existing output areas in South Africa should be explored.

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Cite This Study

Human Sciences Research Council (2026) studied this question.

synapsesocial.com/papers/6a13e7a80e02ee3982d325b0https://doi.org/10.14749/32384595
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Comparison of automated zone design census output areas with existing output areas in South Africa2026
  2. 2The statistical qualities of the zone design census output areas2025
  3. 3Effects of different building blocks designs on the statistical characteristics of automated zone-design tool output areas2026
  4. 4Changing boundaries: overcoming modifiable areal unit problems related to unemployment data in South Africa2026
  5. 5Development of health density indicators in South Africa using GIS2026