KEN_2010_CLBS_v01_M
Child Labor Baseline Survey 2010
Name | Country code |
---|---|
Kenya | KEN |
The 2010 Child Labour Baseline Survey in Busia, Kilifi and Kitui Districts was designed to provide estimates on the nature, extent, and causes of child labour in general. It also collected information on the worst forms of child labour, the conditions of work and how it affects the overall development (health, physical, moral, mental) of the working children in the districts.
Sample survey data [ssd]
This is version 1.0. The first version for distribution.
2014-09-26
The study scope includes: Household, Head of household, Labour force framework, Economically active persons, Reference period, Work, Employment, Household tasks, Status in employment, Occupation, Industry/Economic activity, Economic sector, Hours of work, Wages and salaries, Household income, Tenure, Child, Child labour, Worst Forms of Child Labour, Light work exemption, Working children (children in employment), Gross attendance ratio, Primary school completion rate, and Sex ratio.
The survey was done in Kenya and it covers three districts namely: Busia, Kilifi and Kitui.
The basic unit of analysis was the household for individuals aged 5-17 years of age.
Name | Affiliation |
---|---|
Kenya National Bureau of Statistics | Ministry of Devolution and Planning |
Name | Affiliation | Role |
---|---|---|
Kenya National Bureau of Statistics | Ministry of Devolution and Planning | data collection and analysis |
Name | Role |
---|---|
International Labour Organization | Technical and financial support |
International Programme on the Elimination of Child Labor | Technical and financial support |
A two–stage cluster probability sampling design was adopted for the survey. The first stage involved selection of Enumeration Areas (EAs) from the sampling frame and the second stage involved selection of the housing units. The unit of study for the survey was the housing unit defined as the dwelling unit (or units) occupied by one household.
A sampling frame for the study was based on EAs created for the 2009 Population and Housing Census. The frame was created at the demarcation of areas conducted between 2006 and 2007 during cartographic mapping prior to the census enumeration. During mapping, estates or villages were split into EAs, each having an average of 100 households with a minimum of 50 and a maximum of 149 households. The frame therefore had Enumeration Areas (EAs) as the Primary Sampling Unit (PSUs) each Measure of Size (MoS) averaging 100 households.
KNBS hired and trained personnel to undertake the listing process. The interviewers first updated the list of all the households in the selected EAs. Among the variables considered were; Number of household members, age and sex of household heads and population aged 5-17 years. The outcome of this process provided for the basis of sampling of households participating in this survey.
In the sample design, information from the 2009 Kenya Population and Housing Census was utilized to arrive at the sample size. This involved the determination of the population aged 5-17 years. A child labour preference rate of 0.5 was considered to achieve a maximum sample. A design effect of 2 was considered. Further, to determine an appropriate sample, an error margin of 3 % was considered, which resulted into 54 clusters being created in Busia District, 49 clusters being created in Kilifi District, and 55 being created in Kitui District.
Start | End |
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2010-11-30 | 2010-12-15 |
The fieldwork commenced on 30th November 2010 and took approximately two weeks.
The data collection teams consisted of the coordinators, supervisors and research assistants.
After data was collected, all the questionnaires were sent to the KNBS headquarters for processing. The questionnaire were then sorted and edited ready for data capture.
The data entry was done using the Census and Survey Processing System (CSpro) version 4.0 software. The data entry screen was created with checks to ensure accurate data entry. A total of ten data entry personnel and support staff were engaged for the exercise.
The captured data was exported to the Statistical Package for Social Sciences (SPSS) for cleaning and analysis. The cleaned data was then weighted using application of inflation factors derived from the selection probabilities of the EAs and households. The results in this report are therefore based on the weighted data.
Kenya NADA
Kenya NADA
http://statistics.knbs.or.ke/nada/index.php/catalog/85
Cost: None
Name | Affiliation | URL | |
---|---|---|---|
Kenya National Bureau of Statistics | Ministry of Planning and Devolution | www.knbs.or.ke | directorgeneral@knbs.or.ke |
Use of the dataset must be acknowledged using a citation which would include:
Example,
Kenya National Bureau of Statistics, Kenya Child Labor Baseline Survey (CLBS) 2010, Ref. KEN_2010_CLBS_v01_M. Dataset downloaded from [url] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyright 2011, Kenya National Bureau of Statistics
Name | Affiliation | URL | |
---|---|---|---|
Director General | Kenya National Bureau of Statistics | directorgeneral@knbs.or.ke | www.knbs.or.ke |
DDI_KEN_2010_CLBS_v01_M
Name | Affiliation | Role |
---|---|---|
International Labour Organisation | Producer | |
Kenya National Bureau of Statistics | Ministry of Devolution and Planning | Producer |
2014-09-26
Version 02 (August 2016). Edited version based on Version 01 DDI (KEN-KNBS-CLBS-2010-v1.0) that was done by Kenya National Bureau of Statistics.