Geospatial Data for South Africa
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.
Shopping malls are key to economic and retail development for developers, retail brands and government. More than 1 500 shopping malls mapped with information on the type and size of each. Network based trade areas for shopping malls of each type containd demographic, income, LSM and other socio-economic data. The dataset is updated annually
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 Africascope.
Living Standard Measures (LSM)
Continues to show the wealth continuum of the South Africa population. Includes dominant LSM, trends and comparisons to national averages.
Developed annually using the General Household Survey and small areas estimation methods.
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.
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.
Individual and household income is the most important dataset for the private sector in defining their target market. Developed using the General Household Survey the data is provided at the most detailed administrative levels.
Townships are a new frontier for market growth. With market saturation in traditional high per capita income areas and the growth of disposable income in townships, townships provide significant opportunity for business develop in all sectors. This is not to distract from the historical disadvantages of living in townships. Our Township Atlas provides invaluable information that is needed for strategic interventions in townshops
Gross Geographic Product (GGP)
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.
Africa Investment Attractiveness
Africa is one of the fastest growing regions in the world. Decision-makers need information to decide on which African countries to invest in. Africa Investment Attractiveness provides web based geospatial data on 118 indicators in 56 categories at a country level for the continent. Access includes Country Benchmark Reports, supporting reports, maps & charts.
Geospatial Data for Africa
Demographic estimates allow businesses to make informed decisions about the size and location of investments within African countries. International agencies and governments need demographic estimates to provide sufficient services that are optimally located. Demographic estimates are critical for use in the conducting of nationally representative surveys.
Specialist Geospatial Data Services
Mapping Social Survey Results
Point Thematic Maps
Point Thematic Maps is a qualitative method for rapidly mapping social survey results so that any discerning patterns can be determined.The points represent a randomly selected respondents while the centre of the point circle is where the interviews were conducted.The colours of the points represent responses to questions in the survey.
The adjacent map shows that slightly more people (red points) in Mandera, Kenya were NOT banked compared to those who were (green points)
Small Area Estimation
Small area estimation uses statistical and machine learning methods to model and map social surveys results at small geographic levels. It is a quantitative method that allows survey results to be accurately mapped. AfricaScope uses these methods to model nationally representative surveys and map LSMs, income, etc.
Any nationally representative survey that has used an area based sample design can be mapped. AfricaScope has used these methods to map consumer surveys in South Africa and other African countries.
Retail & Service Location Optimization
Network Based Accessibility Modelling using a Diversity of Approaches to Identify Opportunities for Sustainable Expansion.
AfricaScope is a LEADER in optimizing retail & service location networks. Using accessibility modelling and INNOVATIVE approaches lets us determine if a service or retail network needs to be expanded, reduced or rationalized. With access to UNIQUE demand and supply data we are ideally situated to help companies to optimize their retail networks
Network based accessibility modelling
Defining the Target Market
Diversity of approaches & accessibility models
This is the only approach that can optimally expand, relocate or reduce retail or service networks to ensure their financial viability. This is NOT a site feasibility or gap analysis - this a network based accessibility study that considers levels of demand and supply across a transport network to ensure the entire retail or service network is optimized.
Information on the target market or population needs to be developed specifically for different retail sectors or service types. It must be provided at the most detailed spatial level. Information on different population characteristics, individual & household income, consumer purchasing behaviour as well as expenditure in retail sectors are key datasets.
Greenfield and Brownfield approaches assist in deciding if the retail or service network should be expanded, reduced or relocated. Models are run that consider capacity in the target market or population, travel time/distance, existing service points and preferred sites in optimally locating retail or service points. Network based catchment areas are generated to allow further profiling of the area uniquely allocated to retail or service sites
Trade Area Analysis
AfricaScope has innovated the use of Trade Area Analysis to define average travel times of customers and their travel elasticity. Determining the financial viability and capacity of outlets and outlets is key to understanding their optimum location and sustainability. AfricaScope undertakes accessibility studies in the public & private sectors.