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.