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RIA

RIA ICT Access Survey 2011-2012

Africa, 2011 - 2012
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Reference ID
zaf-ria-rias-2011-2012-v1
Producer(s)
Research ICT Africa
Collections
Research ICT Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 29, 2015
Last modified
May 28, 2020
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Access
  • Contacts
  • Metadata production

    • Identification

    Survey ID number

    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.

    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.
    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 Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town 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

    Contacts

    Contacts
    Name Email URL
    DataFirst Support support@data1st.org support.data1st.org

    Metadata production

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata producer
    Date of Metadata Production

    2020-05-23

    Metadata version

    DDI Document version

    Version 6
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