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 surveys in seventeen African countries between 2005 and 2008.
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals
v1: Edited, anonymised dataset for public distribution
Version 1 of the dataset was received from Research ICT Africa in July 2015
Data collected on households includes: Dwelling type, household expenditure, access to electricity, ownership of goods, data on postal address and bank accounts, access to, use of, and expenditure on internet and landline, as well as household remittances. Data collected on household members includes: Age, sex, relationship to household head, marital status, highest education level, main economic activity, income and other earnings, and mobile phone ownership. A household member was selected at random to provide more detailed data. Data collected on the Randomly Selected Individual includes: Contribution to household expenses, literacy, language, ownership of CD/MP3 player/ipod, social networks, money and banking, use of TV, radio, public phones, work phone, internet, detailed data on mobile phone usage.
The surveys has national coverage. Countries included in this survey are as follows: Benin, Botswana, Burkina Faso, Cameroon, Cote d'Ivoire, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, Senegal, South Africa, Tanzania, Uganda, and Zambia
The lowest geographical unit is country
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
International Development Research Centre
The random sampling was performed in four steps. The survey was stratified into metropolitan (major urban), other urban and rural areas. Enumerator areas (EAs) were sampled for each stratum using probability proportional to size (PPS). Households within EAs were selected using simple random sampling. One individual from each household was randomly selected from all household members and visitors that stayed at the home on the night the household was visited that were 16 years of age or older (refer to the methodology document for more detail on sampling).
Two weights were constructed, one for households and one for individuals. The weights are based on the inverse selection probabilities4 of households and individuals respectively and gross up the data to national level when applied (refer to the methodology document for more detail on weighting).
Dates of Data Collection
Data Collection Mode
The RIA questionnaire was divided into three sections. The first part, the household roster, collected information about all household members. The second part collected household-related information. The head of the household or someone that manages the household answered part one and two. The third part, the individual section, was answered by a randomly selected individual 16 years of age or older who slept in the house the night of the interview, which included household members and visitors.