Household and Individual ICT Access and Usage Survey 2005-2008
Benin, Burkina Faso, Botswana, Cameroon, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, Senegal, Tanzania, Uganda, South Africa, Zambia, 2005 - 2008
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Reference ID
AFR_2005_RIAS_v01_M
Producer(s)
Research ICT Africa
Created on
Sep 04, 2019
Last modified
Apr 27, 2021
Page views
27192
Downloads
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Identification
Survey ID Number
AFR_2005_RIAS_v01_M
Title
Household and Individual ICT Access and Usage Survey 2005-2008
Country/Economy
| Name | Country code |
|---|---|
| Benin | BEN |
| Burkina Faso | BFA |
| Botswana | BWA |
| Cameroon | CMR |
| Ethiopia | ETH |
| Ghana | GHA |
| Kenya | KEN |
| Mozambique | MOZ |
| Namibia | NAM |
| Nigeria | NGA |
| Rwanda | RWA |
| Senegal | SEN |
| Tanzania | TZA |
| Uganda | UGA |
| South Africa | ZAF |
| Zambia | ZMB |
Study type
Other Household Survey [hh/oth]
Abstract
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 [ssd]
Unit of Analysis
Households and individuals
Version
Version Description
Version 01: Edited, anonymised dataset for licensed distribution
Version Date
2013
Version Notes
Version 01 of the dataset was received from Research ICT Africa in July 2015
Scope
Notes
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.
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.
Coverage
Geographic Coverage
National coverage, the survey was conducted in Benin, Botswana, Burkina Faso, Cameroon, Cote d'Ivoire, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, Senegal, South Africa, Tanzania, Uganda, and Zambia.
Universe
The data is nationally representative on a household and individual level for individuals 16 years of age or older.
Producers and sponsors
Primary investigators
| Name |
|---|
| Research ICT Africa |
Sampling
Sampling Procedure
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).
Weighting
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).
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2005 | 2008 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
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.
Access policy
Contacts
| Name | URL | |
|---|---|---|
| DataFirst Support | support@data1st.org | support.data1st.org |
Access conditions
Licenced data, available under conditions
Citation requirements
Research ICT Africa. RIA ICT Access Survey 2005-2008 [dataset]. Version 1. Cape Town: RIA [producer], 2013. Cape Town: DataFirst [distributor], 2015. 10.25828/vc6k-pb92
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | support.data1st.org |
Disclaimer and copyrights
Disclaimer
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.
Metadata production
DDI Document ID
DDI_AFR_2005_RIAS_v02_M
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2019-06-26
DDI Document version
DDI Document - Version 02 - (04/27/21)
This version is identical to DDI_AFR_2005_RIAS_v01_M but country field has been updated to capture all the countries covered by survey.
Version 01 (September 2019): This DDI is identical to 'zaf-ria-rias-2005-2008-v1' which was downloaded from the DataFirst website.
This version is identical to DDI_AFR_2005_RIAS_v01_M but country field has been updated to capture all the countries covered by survey.
Version 01 (September 2019): This DDI is identical to 'zaf-ria-rias-2005-2008-v1' which was downloaded from the DataFirst website.