Geospatial Data For South Africa
Specialist Geospatial Data Services
Retail & Service Network Optimization
Motor Dealership Geospatial Services
Demographic Estimates
2022 demographic data (total population by age, race & gender) provided at the most detailed administrative levels. Additional variables on households, language & dwelling type included. Developed using satellite imagery, statistical techniques and population projections.
Living Standard Measures
2022 data provided at the most detailed spatial levels. Data includes number and percentage households in each LSM class & dominant LSM. Additional variables can be provided. Developed from the marketing All Product Survey (MAPS).
Income
Individual and household income data developed using the 2021 General Household Survey (GHS) data is provided at the most detailed spatial levels.
Shopping Malls
Over 2 000 shopping malls of different classifications have been mapped in 2022. Attribute data for each mall includes GLA, number of shops, anchor tenants, foot traffic, parking bays & owner/developer. Trade areas for each mall contains detailed demographics, income & LSM data
GeoMAPS Consumer
Consumer purchasing data for South Africa from the 2022 Marketing All Products Survey (MAPS). The most comprehensive data on consumer and brand trends & patterns. Provides data on market size and key aspects on the consumer market.
Township Potential Atlas
Townships are the new market frontier with the growth of disposable income and provide opportunity for business develop in all sectors. Our Township Atlas provides invaluable information that is needed for strategic interventions in townships.
Crime Statistics
Crime profiles allow business to do risk planning and identify opportunity for security services. Statistics on 29 crime categories are provided at a police station level for South Africa and are updated annually. Five different indicators (eg numbers, rations, trends and averages) are used to show crime statistics for police precincts.
Retail Outlets
Data on over 150 000 retail outlets in the FMCG sector is available for South Africa. Data includes outlet name, formal vs informal, product offering, channel, contact details, trading & peak hours/days, and more. Data on many retail outlets can be provided including banking, clothing, fast food, grocery, furniture, hardware, motor & pharmaceuticals. Need other retail outlets, we can provide them.
Economic Data
Gross Geographic Product provides foundational data to businesses on the size of the local economy. The Rand value of the GGP market at a local municipality level is provided. Data can be provided at lower administrative levels and include GGP by sector. Data is developed using Statistics South Africa’s Gross Domestic Product (GDP) with other secondary datasets.
Fast Food Expenditure
Worth R300 bil annually, it is a key sector. Knowing the size and distribution of the fast food market is key to its development. The fast food expenditure data is provided at a subplace level for South Africa. Developed from data provided by Statistics South Africa, it is one of the most comprehensive datasets of its kind. Other key market datasets can be developed by GeoScope SA.
Media Coverage
Footprints of commercial and community radio stations. Socio-economic data for footprints include total population, income, LSM, retail outlets, shopping malls and crime. Bespoke data on the consumer purchasing behaviour & media trends can be sourced for footprints.
Specialist Geospatial Data
Using geospatial and machine learning methods bespoke data can be provided for many different sectors. AfricaScope is a specialist in the modelling and mapping of research survey data.
GeoMAPS
Specialist in the development & provision of geospatial consumer data
Maps is a modernised, updated and enhanced survey focused on Consumer Insights. Built on the legacy of AMPS, it includes product and brand research designed for marketers and media planners. A key enhancement and an industry first, is the introduction of geocoded data. This is GeoMAPS that allows MAPS data to be viewed and spatial analysis at a neighbourhood level.