Africa - Household and Individual ICT Access and Usage Survey 2017-2018

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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.

Type: 
Microdata
Acronym: 
RIAS 2017-18
Languages Supported: 
English
Topics: 
Topic not specified
Geographical Coverage: 
Sub-Saharan Africa
Economy Coverage: 
Economy Coverage not specified
Release Date: 
September 4, 2019

Last Updated

Last Updated: 
September 4, 2019

Harvest System ID

Harvest System ID: 
Microdata

Harvest Source ID

Harvest Source ID: 
10575
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.
Version Description: 
Version 01 (September 2019): This DDI is identical to 'zaf-ria-rias-2017-2018-v1' which was downloaded from the DataFirst website.
Publisher Name: 

DataFirst; University of Cape Town

Study Type: 
Other Household Survey [hh/oth]
Universe: 
The data is nationally representative on a household and individual level for individuals 16 years of age or older.
Primary Investigator Name, Affiliation: 
Research ICT Africa
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.
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.
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
Other Processing: 
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.
Access Authority Name, Affiliation, Email: 

University of Cape Town

No Visualizations Available.

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

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.

FieldValue
Modified Date
2020-04-15
Release Date
Identifier
09e78908-7351-4eac-98b5-008481e61b98
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Acronym: 
RIAS 2017-18
Type: 
Languages Supported: 
Access Authority Name, Affiliation, Email: 
University of Cape Town
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.
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.
Economy Coverage: 
Primary Investigator Name, Affiliation: 
Research ICT Africa
Publisher Name: 
DataFirst; University of Cape Town
Version Description: 
Version 01 (September 2019): This DDI is identical to 'zaf-ria-rias-2017-2018-v1' which was downloaded from the DataFirst website.
Universe: 
The data is nationally representative on a household and individual level for individuals 16 years of age or older.
Geographical Coverage: 
Data Classification of a Dataset: 
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.
Release Date: 
Wednesday, September 4, 2019
Last Updated Date: 
Wednesday, September 4, 2019
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
Other Processing: 
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.
Harvest Source: 
Harvest System ID: 
10575
Citation Text: 
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
Modified date: 
18143
Study Type: 
Other Household Survey [hh/oth]
Primary Dataset: 
Yes

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