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Gauteng City-Region Observatory other

Gauteng City-Region ObservatoryRef: https://www.gcro.ac.za/outputs/dataportal/

Official source

Source domain: gcro.ac.za

Collected on 30 July 2026

Always confirm details on the official source before acting.

Our copy (archived 30 July 2026)Official source

What this means

This document is the text of the GCRO (Gauteng City-Region Observatory) “Data Portal” webpage. It explains that the GCRO provides easy access to commonly requested datasets (spatialised and survey data) for direct download, sometimes via DataFirst or viewer pages that may require registration. It lists the portal’s main dataset (the biennial Quality of Life survey, including QoL 2023/24 and earlier waves) and provides a catalogue of downloadable GIS boundary, public infrastructure, land use/land cover, demographic, biodiversity, and other datasets, including sources and download links. It also notes that QoL data is shared under a CC BY 4.0 licence and asks users to cite the DataFirst-provided citation and share copies of work where possible.

Facts

Places

Gauteng

Reference

https://www.gcro.ac.za/outputs/dataportal/

Key Takeaways

  • GCRO Data Portal provides direct download access to commonly requested datasets
  • Primary dataset: biennial Quality of Life (QoL) survey; waves available include 2009, 2011, 2013/14, 2015/16, 2017/18, 2020/21, and 2023/24
  • QoL 2023/24 questionnaires/data/documentation available via DataFirst (GCRO catalogue link)
  • QoL data shared under CC SA-BY 4.0 (CC BY 4.0) with citation requested and sharing of produced work if possible
  • Examples of boundary datasets: 2016/2020 ward boundaries, 2018 local municipality boundaries, 2011 EA and main place boundaries, 2011 sub-place boundaries, Gauteng provincial boundary, TBVC homelands boundaries
  • Examples of spatial layers: StepSA mesozones, health district boundaries, national police precinct boundaries, Uber H3_7 hexagons
  • Public infrastructure datasets include national roads/railway/rivers line shapefiles (OSM and DWA sources)
  • Land cover datasets include ESA 2016 20m land cover and SANLC raster images for 1990/2014/2018/2020/2022
  • Demographics datasets include Statistics South Africa curated datasets and Census 2022, plus WorldPop and LandScan
  • Biodiversity datasets include protected areas/conservation/biosphere boundaries and SANBI National Biodiversity Assessment (NBA) raster layer
  • GCRO (Gauteng City-Region Observatory)
  • DataFirst (UCT DataFirst)
  • Municipal Demarcation Board
  • Statistics South Africa
  • Department of Land Affairs, SA
  • Council for Scientific and Industrial Research (CSIR)
  • Gauteng Department of Health
  • South African Police Service (SAPS)
  • Uber
  • Open Street Map (OSM)
  • Department of Water Affairs (DWA)
  • Department of Basic Education, South Africa
  • Department of Forestry, Fisheries and the Environment, SA
  • European Space Agency (ESA)
  • German Aerospace Center (DLR)
  • WorldPop
  • Oak Ridge National Laboratory (ORNL)
  • South African National Biodiversity Institute (SANBI)
  • Christian Hamann (christian.hamann@gcro.ac.za)
  • UNOMENA
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