RIA ICT Access Survey 2011-2012
Africa, 2011 - 2012
Research ICT Africa
Created on
May 28, 2020
Last modified
May 28, 2020
Page views
96363
Download
3023
Documentation in pdf
Metadata
xml (ddi standard)
json
Identification
IDNO
zaf-ria-rias-2011-2012-v1
Title
RIA ICT Access Survey 2011-2012
Country
| Name |
|---|
| Africa |
Study type
Household Survey [hh]
Series Information
Research ICT Africa. RIA ICT Access Survey 2011-2012 [dataset]. Version 1. Cape Town: RIA [producer], 2013. Cape Town: DataFirst [distributor], 2015. DOI: https://doi.org/10.25828/mef4-3810
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 delivers nationally representative indicators on household, individual and small business level. The survey uses national census sampling frames in co-operation with National Statistical Offices to deliver crucial data in a cost effective way.This survey dataset consists of data collected in thirteen African countries in 2011-2012.
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals
Version
Version Description
v1: Edited, anonymised dataset for public distribution
Version Date
2012
Version Notes
Version 1 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.
Apart from delivering ICT indicators required by international bodies the survey delivers data and analysis for several regulatory functions such as pricing regulation, number portability and universal access.
Apart from delivering ICT indicators required by international bodies the survey delivers data and analysis for several regulatory functions such as pricing regulation, number portability and universal access.
Coverage
Geographic Coverage
The surveys had national coverage. Survey countries included Botswana, Cameroon, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Tanzania, Uganda, and Tunisia.
Universe
This survey is nationally representative on household, individual and small business level.
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: 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 probabilities1 and gross up the data to national level when applied.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2011 | 2012 |
Data Collection Mode
Face-to-face [f2f]
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
Public use files, available to all
Citation requirements
Research ICT Africa. RIA ICT Access Survey 2011-2012 [dataset]. Version 1. Cape Town: RIA [producer], 2013. Cape Town: DataFirst [distributor], 2015. DOI: https://doi.org/10.25828/mef4-3810
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2020-05-23
DDI Document version
Version 6