Africa - Household and Individual ICT Access and Usage Survey 2005-2008

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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 surveys in seventeen African countries between 2005 and 2008.

Type: 
Microdata
Acronym: 
RIAS 2005-08
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: 
10573
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-2005-2008-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. 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).
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.
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 2005-2008 [dataset]. Version 1. Cape Town: RIA [producer], 2013. Cape Town: DataFirst [distributor], 2015. 10.25828/vc6k-pb92

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.

FieldValue
Modified Date
2020-04-15
Release Date
Identifier
d916dee5-916b-424e-8400-ab0b80ccbe5f
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
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No votes yet
Acronym: 
RIAS 2005-08
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: 
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).
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-2005-2008-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. 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).
Release Date: 
Wednesday, September 4, 2019
Last Updated Date: 
Wednesday, September 4, 2019
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.
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: 
10573
Citation Text: 
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
Modified date: 
18143
Study Type: 
Other Household Survey [hh/oth]
Primary Dataset: 
Yes

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