Ghana - Ghana Living Standards Survey 6 (With a Labour Force Module) 2012-2013, Round Six
Reference ID | GHA-GSS-GLSS6-2012-v1.0 |
Year | 2012 - 2013 |
Country | Ghana |
Producer(s) | Ghana Statistical Service - Government of Ghana |
Sponsor(s) | Government of Ghana - GOG - Funding UK Department For International Development - UK-DIFID - Funding International Labour Organaisation - ILO - Funding United Nations Development Programme - UNDP - Funding United Nations Children Educ |
Metadata | Documentation in PDF |
Created on
Sep 12, 2014
Last modified
Mar 30, 2016
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7911112
Sampling
Sampling Procedure
The sixth round of the Ghana Living Standards Survey (GLSS6), like the previous rounds, was designed to provide nationally and regionally representative indicators. It applied the same sampling methodology, the same questionnaires and covered the same broad range of topics such as education, health, employment, housing conditions, migration and tourism among others.
To cater for the needs of the Savannah Accelerated Development Authority (SADA) areas and also provide nationally representative quarterly labour force statistics, the number of primary sampling units (PSUs) and households were increased from 580 and 8,700 to 1,200 and 18,000 respectively - an increase of about 107% over the GLSS5 figures. (See Appendix 1 Tables A1 and A2).
A two-stage stratified sampling design was adopted.
At the first stage, 1,200 enumeration areas (EAs) were selected to form the PSUs. The PSUs were allocated into the 10 regions using probability proportional to population size (PPS). The EAs were further divided into urban and rural localities of residence. A complete listing of households in the selected PSUs was undertaken to form the secondary sampling units (SSUs).
At the second stage, 15 households from each PSU were selected systematically. Hence the total sample size came to 18,000 households nationwide. (Refer to Appendix 1 in main GLSSS 6 report.)
Deviations from Sample Design
No deviation from the sample
Response Rate
A nationally representative sample of 18,000 households in 1,200 enumeration areas was covered in the survey. Of this number, 16,772 were successfully enumerated leading to a response rate of 93.2 percent
Weighting
Sample weights for the household data were computed as the inverse of the probability of selection of the household, computed at the EA level as weight in the data