Ghana - Global Financial Inclusion (Global Findex) Database 2011
Reference ID | GHA_2011_FINDEX_v01_M |
Year | 2011 |
Country | Ghana |
Producer(s) | Development Research Group, Finance and Private Sector Development Unit - World Bank |
Sponsor(s) | Development Research Group, World Bank - - The Bill and Melinda Gates Foundation - - Financial support |
Created on
Feb 13, 2013
Last modified
Dec 05, 2013
Page views
95732
Sampling
Sampling Procedure
The Global Findex indicators are drawn from survey data collected by Gallup, Inc. over the 2011 calendar year, covering more than 150,000 adults in 148 economies and representing about 97 percent of the world's population. Since 2005, Gallup has surveyed adults annually around the world, using a uniform methodology and randomly selected, nationally representative samples.The Global Findex indicators will be collected again in 2014 and 2017.
Surveys were conducted face-to-face. The first stage of sampling is the identification of primary sampling units, consisting of clusters of households. The primary sampling units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to selected sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid.
The sample size in Ghana was 1,000 individuals.
Weighting
Data weighting is used to ensure a nationally representative sample for each economy. First, base sampling weights are constructed to account for oversamples and household size. If an oversample has been conducted, the data are weighted to correct the disproportionate sample. Weighting by household size (number of residents age 15 and above) is used to adjust for the probability of selection, as residents in large households will have a disproportionately lower probability of being selected for the sample. Second, poststratification weights are constructed. Population statistics are used to weight the data by gender, age, and, where reliable data are available, education or socioeconomic status.