South African Demographics 2019

Latest population statistics for South Africa at a geographic subplace level

What is the South African Demographics Viewer?

  • It is the first web mapping portal that provides current demographic data (2019) at different administrative levels for South Africa
  • The data is provided at a sub-place (suburb or neighbourhood) level for the entire country.
  • The Viewer includes composite indices that have been created by combining some of the population statistics
  • It allows users for search for geographic places to get population statistics by age, gender & race
  • Colour thematic maps can be generated for a number of indicators including total population, age dependency, dominant race, sex ratio & population density
  • When selecting different geographic features statistics on the size of the 2019 population are provided.
  • Tabular data for all variables & indicators at a subplace level are provided.
  • Charts are provided that allow further filtering and the ability to do analysis of the different variables

​​What’s included in the data?

  • Provides total population statistics by age, gender & race
  • Provides indicators on:
    • Age dependency (ratio of non-economically active to economically active population)
    • Dominant race (race group with the highest population)
    • Sex ratio (ratio of males to females)
    • Population density (total population per km sq.)

​Who uses the data?

  • Any individual, business or organization that is interested in population statistics for South Africa at a provincial district, municipal or place level.

​For what is the data used?

  • Population statistics are invaluable for any form of planning whether in the private or public sectors.

Please fill in the information below to access the Viewer

Need the latest & more detailed demographic data?

  • Africascope SA updates the population estimates annually for age, gender & population group at the most detailed geospatial levels.
  • Using image processing & statistical methods the data is updated and benchmarked against the latest mid-year estimates provided by Statistics South Africa (Stats SA).
  • Using our demographic estimates and other secondary datasets we model other datasets from nationally representative – individual and household income.
  • From Stats SA’s General Household Survey (GHS – 2019) we map the Living Standard Measures (LSM) to the neighbourhood level.
  • From the National Household Travel Survey (NHTS) of 2013 we can provide estimates of the working/daytime population of South Africa.  

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