The Ghana Child Labour Survey is the first nationwide survey in the country specifically designed to collect information on the various aspects of working children, within the framework of the International Programme on the Elimination of Child Labour (IPEC). It is a two-in-one survey, which canvassed children in households as well as children on the street, using two different sample designs. The fieldwork was conducted in February 2001, with technical assistance from the International Labour Organization (ILO).
It is expected that the results of the survey will generate more awareness of child labour issues, promote the campaign against its practice, and serve as the basis for the formulation of appropriate intervention programmes.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individual person (household head and children)
The scope of Child Labour Survey 2001 includes:
- Housing/household characteristics, Information on household members
- Information from parents: Usual economic activitiy of children 5-17 years during the last 12 months, Children 5-17 years old working as employees for someone else for payments in-cash or in-kind, Non-economic activity of children 5-17 years of age during the last 7 days, Complete idleness of children 5-17 years of age, Work-related health and safety of children 5-17 years of age, Preception of parents/guardians or other relatives with whom the working child usually resides, Migration status of children 5-17 years of age, Parental background
- Living arrangements fo children 5-17 years of age, Usual economic activity of children 5-17 years of age, Current economic activity of children 5-17 years of age, Earnings and hours of work of children 5-17 years during last week, Children working for someone else other than own parents or guardians, Children working for someone else, or independently for earning in-cash or in-kind,Training or children 5-17 years of age, Work-related health and safety of children 5-17 years of age
Producers and sponsors
Ghana Statistical Service (GSS)
International Programme on the Elimination of Child Labour (IPEC)
Statistical Information and Monitoring Programme On Child-labour
The 2001 Ghana Child Labour Survey comprised both a nationwide probability sample survey of all households in Ghana and a supplementary non-probability survey of street children.
The sampling frame for the household-based sample survey was the list of all 26,555 Enumeration Areas (EAs) from the 2000 Population and Housing Census of Ghana with corresponding data on number of households. The household sample survey was based on a two-stage stratified cluster design. The frame was stratified into urban and rural localities of residence and by the 10 administrative regions in the country.
At the first stage, 500 Enumeration Areas (EAs) were systematically selected, with probability proportional to size, the measure of size being the number of census households. At the second stage, 20 households were selected from each of the 500 EAs to produce an overall sample size of 10,000 households. The design ensured that every household in the country had the same chance to be selected; in other words, the sample was self-weighting (see Appendix II for a detailed explanation of the sample design). The sampling process yielded the allocation of households to each stratum (urban/rural and region) shown in Table 2.1. The sample also yielded an average weight of 370.12 for each child. This means that each child in the survey represents about 370 children.
Out of the 10,000 selected households, 9,889 were successfully interviewed, indicating a household response rate of 98.9 percent. A similar response rate was achieved in all regions and in rural/urban areas.
Dates of Data Collection
Data Collection Mode
Data entry was centralized at the head office. The main data entry software was the IMPS (Integrated Microcomputer Processing System). The two questionnaires, street children and the household questionnaires, were entered separately. Edit programs in CONCOR were used to edit the data, after which error listings were printed and corrected on EA level.
After editing, the ASCII data were put together and cleaned further, using SPSS and SAS. This was done by running consistency checks on every variable and the database was generated thereby. The analysis and tabulation were executed in SAS and SPSS. Estimates, standard errors, confidence intervals and design effects were generated using the CENVAR module in IMPS.
Ghana Statistical Service
Ministry of Finance and Economic Planning
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