Household and Small Business ICT Access and Usage Survey 2011-2012

Botswana, Cameroon, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, Tunisia, Tanzania, Uganda, South Africa, 2011 - 2012

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Reference ID

AFR_2011_RIAS_v01_M

Producer(s)

Research ICT Africa

Collection(s)

DataFirst , University of Cape Town, South Africa Fragility, Conflict and Violence

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Sep 04, 2019

Last modified

Apr 27, 2021

Page views

34165

Downloads

538

Identification

Survey ID number

AFR_2011_RIAS_v01_M

Title

Household and Small Business ICT Access and Usage Survey 2011-2012

Country/Economy

Name	Country code
Botswana	BWA
Cameroon	CMR
Ethiopia	ETH
Ghana	GHA
Kenya	KEN
Mozambique	MOZ
Namibia	NAM
Nigeria	NGA
Rwanda	RWA
Tunisia	TUN
Tanzania	TZA
Uganda	UGA
South Africa	ZAF

Study type

Other Household Survey [hh/oth]

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 by household and business surveys in thirteen African countries in 2011-2012.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

Households and individuals

Version

Version Description

Version 01: Edited, anonymised dataset for licensed distribution

Version Date

2012

Version Notes

Version 01 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.

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

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: 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.

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

Licensed use files, available with restrictions

Citation requirements

Research ICT Africa. RIA ICT Access Survey 2011-2012 [dataset]. Version 1. Cape Town: RIA [producer], 2013. Cape Town: DataFirst [distributor], 2015. 10.25828/mef4-3810

Disclaimer and copyrights

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.

Contacts

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

Metadata production

DDI Document ID

DDI_AFR_2011_RIAS_v02_M

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata producer

Date of Metadata Production

2019-06-26

Metadata version

DDI Document version

DDI Document - Version 02 - (04/27/21)
This version is identical to DDI_AFR_2011_RIAS_v01_M but country field has been updated to capture all the countries covered by survey.

Version 01 (September 2019): This DDI is identical to 'zaf-ria-rias-2011-2012-v1' which was downloaded from the DataFirst website.

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