This is the first Living Standards Survey counducted in Ghana. The GLSS gathered nationwide individual and household level data using a multi-purpose household questionnaire. Community level data were collected using a community questionnaire in rural areas and a price questionnaire was used in both urban and rural areas.
The Ghana Living Standards Survey (GLSS) is a nationwide household survey carried out by the Government of Ghana (Ghana Statistical Service) with the support of the World Bank (Social Dimensions of Adjustment Project Unit). The objective of the survey is to provide data to the government for measuring the living standards of the population and the progress made in raising them. The survey data will permit a more effective formulation and implementation of policies designed to improve the welfare of the population.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The scope of Living Standards Survey I 1987-1988 includes:
- HOUSEHOLD: Household roster, Housing, Education, Health, Economic activities, Migration, Agro-pastoral activities, Non-farm self-employment, Expenditure and inventory of durable goods, Food expenses and home production, Fertility, Other income, Credit and savings, Anthropometrics, Cognitive skills
- COMMUNITY: Demographic information, Economy and infrastructure, Education, Health, Agriculture
- PRICE: Food, Pharmaceutical, Non-food
Producers and sponsors
Ghana Statistical Service (GSS)
The World Bank
The GLSS canvasses a nationally representative sample of 3200 households. A two-stage stratified sample design was used. At the first stage, 200 enumeration areas (EAs) were selected with probability proportional to the number of Census households. Stratification criteria were urban/rural and ecological zones. Households in the selected EAs were then listed through a filed operation. Comparing the number of households listed with those in the census in each EA, 200 “workloads” were allocated among the 200 selected EAs. In the second stage, 16 households were selected to make up each workload, but some received three, while a few received none. This design has resulted in a self-weighting sample (with equal probability of selection for each household in Ghana).
This is a self-weighting sample (with equal probability of selection for each household in Ghana).
Dates of Data Collection
Data Collection Mode
Three types of questionnaires are used in the GLSS: (1) a household questionnaire; (2) a community questionnaire; (3) a price questionnaire.
The household questionnaire comprises 16 sections which allow the collection of a total of about 800 pieces of information on the household. It includes household composition, housing, education, health, economic activities, migration, housing characteristics, anthropometry, agro-pastoral activities, non-farm self-employment, expenditures and inventory of durable goods, food expenses and home production, fertility, other income, credit and savings.
The community questionnaire, used in the rural areas, is administered to the persons best informed about the community (village chief, teachers, etc). It includes demography, economy and infrastructure, education, health and agriculture.
The price questionnaire is filled out based on direct observation of the market prices. It includes food items, pharmaceutical items and other non-food items.
LSMS Data Manager
The World Bank
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Ghana Statistical Service (GSS). Ghana Living Standards Survey (GLSS) 1987-1988. Ref. GHA_1987_GLSS_v01_M. Dataset downloaded from http://microdata.worldbank.org on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.