Household and Small Business ICT Access and Usage Survey 2011-2012
Research ICT Africa (RIA) is a non-profit, public interest, research entity which undertakes research on how information and communication technologies are being accessed and used in African countries. The aim is to measure the impact on lifestyles and livelihoods of people and households and to understand how informal businesses can prosper through the use of ICTs. This research can facilitate informed policy-making for improved access, use and application of ICT for social development and economic growth. RIA collects both supply-side and demand-side data. On the demand-side nationally representative surveys are conducted on ICT use and demand in African countries. This survey dataset consists of data collected by household and business surveys in thirteen African countries in 2011-2012.
Kind of data
Sample survey data [ssd]
Version 01: Edited, anonymised dataset for licensed distribution
Version 01 of the dataset was received from Research ICT Africa in July 2015.
The surveys had national coverage. Survey countries included Botswana, Cameroon, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Tanzania, Uganda, and Tunisia.
Unit of analysis
Households and individuals
The data is nationally representative on a household and individual level for individuals 16 years of age or older.
Producers and sponsors
Research ICT Africa
The random sampling was performed in four steps for households and businesses, and five steps for individuals.
• Step 1: The national census sample frames was split into urban and rural Enumerator areas (EAs).
• Step 2: EAs were sampled for each stratum using probability proportional to size (PPS).
• Step 3: For each EA two listings were compiled, one for households and one for businesses. The listings serve as sample frame for the simple random sections.
• Step 4: 24 Households and 10 businesses were sampled using simple random sample for each selected EA.
• Step 5: From all household members 15 years or older or visitors staying the night at the house one was randomly selected based on simple random sampling.
Three weights were constructed, for households, individuals and for small businesses. The weights are based on the inverse selection probabilities and gross up the data to national level when applied.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
University of Cape Town
Version 01 (September 2019): This DDI is identical to 'zaf-ria-rias-2011-2012-v1' which was downloaded from the DataFirst website.