Household and Individual ICT Access and Usage Survey 2017-2018
Africa, 2017 - 2018
Research ICT Africa
Last modified
September 04, 2019
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3634
Documentation in PDF
Study website
Metadata
DDI/XML
JSON
Identification
IDNO
AFR_2017_RIAS_v01_M
Title
Household and Individual ICT Access and Usage Survey 2017-2018
Countries
| Name | Code |
|---|---|
| Africa | AFR |
Study notes
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 conducted in 9 African countries in 2017 and 2018.
Kind of data
Sample survey data [ssd]
Version
Version
Version 01: Edited, anonymised dataset for licensed distribution
Version date
2019
Version notes
Version 01 of the dataset was received from Research ICT Africa in June 2019.
Coverage
Geographic coverage
National coverage, the survey was conducted in Botswana, Cameroon, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Tanzania, Uganda, and Tunisia.
Unit of analysis
Households and individuals
Universe
The data is nationally representative on a household and individual level for individuals 16 years of age or older.
Producers and sponsors
Authoring entity
| Name |
|---|
| Research ICT Africa |
Sampling
Sampling procedure
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.
• 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.
Weighting
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.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2017 | 2018 | Ghana, Kenya, Lesotho, Mozambique, Nigeria, South Africa and Tanzania |
Mode of data collection
Face-to-face [f2f]
Questionnaires
The survey questionnaire consisted of 16 modules.
- Admin (enumerator completes it before Interviewing the Household)
- Household Roster, list all household members 15 years or older
- Household Roster, list all household members 14 years or younger
- Household Attributes
- Demographic Information
- Income and Expenditure
- Social Activities
- Mobile Phone
- No Mobile Phone
- Mobile Money
- Internet
- No Internet Use
- Social Media
- No Social Media
- Micro work
- Household Attributes of Visitor
- Admin (enumerator completes it before Interviewing the Household)
- Household Roster, list all household members 15 years or older
- Household Roster, list all household members 14 years or younger
- Household Attributes
- Demographic Information
- Income and Expenditure
- Social Activities
- Mobile Phone
- No Mobile Phone
- Mobile Money
- Internet
- No Internet Use
- Social Media
- No Social Media
- Micro work
- Household Attributes of Visitor
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | support.data1st.org |
Access conditions
Licensed use files, available with restrictions
Citation requirements
Research ICT Africa. RIA ICT Access Survey 2017-2018 [dataset]. Version 1. Cape Town: RIA [producer], 2019. Cape Town: DataFirst [distributor], 2019. 10.25828/kcsd-nb04
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.
Contacts
Contact(s)
| Name | URI | |
|---|---|---|
| DataFirst Support | support@data1st.org | support.data1st.org |
Metadata production
IDNo
DDI_AFR_2017_RIAS_v01_M
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Production date
2019-06-26
Version
Version 01 (September 2019): This DDI is identical to 'zaf-ria-rias-2017-2018-v1' which was downloaded from the DataFirst website.