RIA ICT Access Survey 2017-2018
Africa, 2017 - 2018
Research ICT Africa
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February 25, 2022
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February 25, 2022
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Identification
IDNO
zaf-ria-rias-2017-2018-v1.1
Title
RIA ICT Access Survey 2017-2018
Country
| Name |
|---|
| Africa |
Study type
Household Survey [hh]
Series Information
Research ICT Africa. RIA ICT Access Survey 2017-2018 [dataset]. Version 1.1. Cape Town: RIA [producer], 2020. Cape Town: DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/kcsd-nb04
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 on households and informal businesses in 9 African countries in 2017 and 2018.
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals
Version
Version Description
v1.1: Edited, anonymised dataset for public distribution
Version Date
2020-07-17
Version Notes
Version 1 of the dataset included the household data but not the data from the survey of informal businesses. Version 1.1. includes data files for households and for informal businesses enumerated in the 2017-2018 round of the RIA ICT Access Survey. Because there have been no changes to the data files they remain version 1. The dataset is version 1.1. to reflect the addition of the file with business-level data.
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 informal businesses includes: Ownership, products and services, registration, financial information (taxation, start-up capital, business revenues, credit facilities, banking transations, business expenses), business advice, suppliers, customers, employees, employment contracts, access to electricity, and business climate.
Data collected on business owners and managers includes: Age, education level, vocational education, business skills training,
Data collected on business media includes: Website, social media access and use, medium of communication with suppliers and customers, fixed-line access and use, mobile phone access and use, computer access and use, and mobile money.
Data collected on informal businesses includes: Ownership, products and services, registration, financial information (taxation, start-up capital, business revenues, credit facilities, banking transations, business expenses), business advice, suppliers, customers, employees, employment contracts, access to electricity, and business climate.
Data collected on business owners and managers includes: Age, education level, vocational education, business skills training,
Data collected on business media includes: Website, social media access and use, medium of communication with suppliers and customers, fixed-line access and use, mobile phone access and use, computer access and use, and mobile money.
Coverage
Geographic Coverage
The surveys had national coverage. Survey countries were Ghana, Kenya, Lesotho, Mozambique, Nigeria, Senegal, South Africa, Tanzania, and Uganda
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 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: 20 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: 20 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 probabilities1 and gross up the data to national level when applied.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2017-05-15 | 2017-08-21 | South African survey |
| 2017 | 2017 | Ghana, Kenya, Lesotho, Mozambique, Nigeria, Tanzania |
| 2018 | 2018 | Senegal survey |
| 2018-05-02 | 2018-08-04 | Uganda survey |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Surveys were undertaken during 2017 for all countries exept Senegal and Tanzania, where surveys were conducted in 2018.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | support.data1st.org |
Contacts
| Name | URL | |
|---|---|---|
| DataFirst Support | support@data1st.org | support.data1st.org |
Access conditions
Licensed use files, available for non-commercial use only
Citation requirements
Research ICT Africa. RIA ICT Access Survey 2017-2018 [dataset]. Version 1.1. Cape Town: RIA [producer], 2020. Cape Town: DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/kcsd-nb04
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2022-02-25
DDI Document version
Version 5