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National Information and Communication Technology Survey 2010

Kenya, 2010
Kenya National Bureau of Statistics
Created on September 17, 2022 Last modified September 17, 2022 Page views 3718 Download 1605 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Processing
  • Access policy
  • Metadata production

Identification

Survey ID Number
KNE-KNBS-NICTS-2010-v01
Title
National Information and Communication Technology Survey 2010
Country
Name Country code
Kenya KEN
Study type
Sample Frame, Households [sf/hh]
Abstract
In researching ICT penetration rates of a country, it is necessary to look at the target population demographic characteristics that facilitate use, access and ownership of the ICT facilities and equipments. As such, the ICT survey sought information on the general characteristics of the sampled population, including composition by age and sex, household size, education, employment, literacy, disability and source of electricity to households.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
District

Version

Version Description
v01

Scope

Notes
The survey was distributed into four domains, namely:
1. National,
2. Major Urban areas,
3. Other Urban areas, and
4. Rural areas.

Coverage

Geographic Coverage
Kenya
Universe
Kenya

Producers and sponsors

Primary investigators
Name
Kenya National Bureau of Statistics
Funding Agency/Sponsor
Name Abbreviation Role
Communication Commission of Kenya CCK Funding Paritner

Sampling

Sampling Procedure
Stratified Sample methodology
Response Rate
Owing to the some logistical challenges the following clusters were partially or not covered at all:
• One cluster in Tana River due to floods.
• Two clusters in Molo where households shifted to safer areas after the Post Election Violence (PEV). As a result, fewer than the expected households were covered.
• One cluster in Koibatek was covered halfway due to relocation of households to pave way for a large plantation.
Weighting
Weights were developed to account for the selection probabilities using the NASSEP IV sampling frame

Data Collection

Dates of Data Collection
Start
2010
Data Collection Mode
Face-to-face [f2f]

Data Processing

Data Editing
As a matter of procedure initial manual editing was done in the field by the RAs. The supervisors further checked the questionnaires and validated the data in the field by randomly sampling 20 per cent of the filled questionnaires. After the questionnaires were received from the field, an office editing team was constituted to do office editing.

Data was captured using Census and Survey Processing System (CSPRO) version 4.0 through a data entry screen specially created with checks to ensure accuracy during data entry. All questionnaires were double entered to ensure data quality. Erroneous entries and potential outliers were then verified and corrected appropriately. A total of 20 data entry personnel were engaged during the exercise.

The captured data were exported to Statistical Package for Social Sciences (SPSS) for cleaning and analysis. The cleaned data was weighted before final analysis. The weighting of the data involved application of inflation factors derived from the selection probabilities of the EAs and households detailed in section 2.2.7, on weighting the Sample Data.

Access policy

Contacts
Name
Director General of KNBS

Metadata production

DDI Document ID
KEN-KNBS-NICTS-2010-v01
Producers
Name Abbreviation Affiliation Role
Kenya National Bureau of statistics KNBS Ministry of Planning, National Development and Vision 2030 Implementing Agency
Kenya National Data Archive (KeNADA)

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