Living Standards Survey 1987-1988
Ghana, 1987 - 1988
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Reference ID
GHA_1987-1988_LSS_v01_EN_M_v01_A_OCS
Producer(s)
Ghana Statistical Service (GSS)
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Metadata
Created on
Oct 15, 2020
Last modified
Oct 15, 2020
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Identification
Survey ID Number
GHA_1987-1988_LSS_v01_EN_M_v01_A_OCS
Title
Living Standards Survey 1987-1988
Country
| Name | Country code |
|---|---|
| Ghana | GHA |
Study type
Living Standards Measurement Study [hh/lsms]
Series Information
This is the first round of the Ghana Living Standards Survey.
Abstract
The Ghana Living Standards Survey (LSS) is a nationwide 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. The LSS was launched in September 1987 and is currently planned to be undertaken over a five-year period. The five interval ensures that a steady stream of data becomes available to monitor the impact of the Government's Economic Recovery Program, including the Program of Actions to Mitigate the Social Costs of Adjustment (PAMSCAD). LSS provides data on various aspects of the Ghanaian household economic and social activities and the interactions between these activities. Data are collected at three levels: the individual level, the household level and community level. The household questionnaire was administered to 1525 households over a six month period from September 1987 to March 1988.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The scope of Living Standards Survey 1987-1988 includes:
(a) 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
(b) COMMUNITY:
Demographic information
Economy and infrastructure
Education
Health
Agriculture
(c) PRICE:
Food
Pharmaceutical
Non-food
(a) 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
(b) COMMUNITY:
Demographic information
Economy and infrastructure
Education
Health
Agriculture
(c) PRICE:
Food
Pharmaceutical
Non-food
Topics
| Topic | Vocabulary |
|---|---|
| Health | FAO |
| Financial Sector | FAO |
| Access to Finance | FAO |
| Migration & Remittances | FAO |
| Agriculture & Rural Development | FAO |
| Food (production, crisis) | FAO |
| Nutrition | FAO |
| Population & Reproductive Health | FAO |
| Labor | FAO |
| Infrastructure | FAO |
| Prices statistics | FAO |
Coverage
Geographic Coverage
National
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Ghana Statistical Service (GSS) | Government of Ghana |
Producers
| Name | Role |
|---|---|
| The World Bank | Technical assistance |
Sampling
Sampling Procedure
The methodology that was used reflects the purpose of the survey. To balance the desire for a large, representative sample with the expense of a long, detailed survey instrument, a sample size of 3,200 households was selected. The households were to be chosen in such a manner that each household had an equal probability of being selected. At the same time, the logistics of locating the households and conducting all interviews within a specific time frame required that the households be grouped into "workloads" of 16 households each. A final concern was that all three of the country's ecological zones (coastal, forest and savannah), and each of urban, semi-urban and rural areas (population greater than 5000, 1500 to 5000, and less than 1500, respectively) form the same proportion in the sample as they do in the national population. To achieve the three objectives simultaneously, a stratified selection process was used. For the 1984 Census, all of Ghana was divided into approximately 13,000 enumeration areas (EAs). From this list it was determined what proportion of the 200 GLSS workloads should be selected from each of the nine zone/urban categories. Two hundred sampling areas were then selected from the enumeration areas in the sub-divided list. For each enumeration area, the probability of being selected was proportional to the number of households contained in that area.
After the 200 sampling areas were selected, households in those areas were enumerated in 1987. Therefore, it was possible to take into account changes in the number of households and preserve the self-weighting nature of the sample. The 200 workloads were assigned among the 200 sampling areas with probability equal to the number of households in that area in 1987 divided by the number of households in that area in 1984 and multiplied by the total number of households in 1984 divided by the total number of households in 1987. That is, sampling areas that had greater than average increases in size had a greater than one chance of being selected. Thus, each sampling area was assigned zero, one, two, or even three workloads of sixteen households. The households (sixteen selected and four replacement for each workload) were then chosen randomly from the household list for each sampling area. The resulting list is 3200 households and 800 replacement households in something less than 200 sampling areas (specifically 178 in 1987-88 and 170 in 1988-89). Each group of 16, 32 or 48 households within a sampling area is referred to as a cluster in the GLSS data sets and in this document.
After the 200 sampling areas were selected, households in those areas were enumerated in 1987. Therefore, it was possible to take into account changes in the number of households and preserve the self-weighting nature of the sample. The 200 workloads were assigned among the 200 sampling areas with probability equal to the number of households in that area in 1987 divided by the number of households in that area in 1984 and multiplied by the total number of households in 1984 divided by the total number of households in 1987. That is, sampling areas that had greater than average increases in size had a greater than one chance of being selected. Thus, each sampling area was assigned zero, one, two, or even three workloads of sixteen households. The households (sixteen selected and four replacement for each workload) were then chosen randomly from the household list for each sampling area. The resulting list is 3200 households and 800 replacement households in something less than 200 sampling areas (specifically 178 in 1987-88 and 170 in 1988-89). Each group of 16, 32 or 48 households within a sampling area is referred to as a cluster in the GLSS data sets and in this document.
Weighting
Weights are not computed because there wasn't enough information on how the weights were imputed against the variables. This is a self-weighting sample (with equal probability of selection for each household in Ghana).
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1987-09 | 1988-08 |
Data Collection Mode
Face-to-face [f2f]
Data Processing
Data Editing
The quality control of the data collection occurred at three instances. First, on the field, the supervisor randomly visited 25% of the households already surveyed to verify the answers to some key questions. In addition, the supervisor periodically attended interviews conducted by each interviewer. Second, in the regional office, the data entry computer package used performed consistency checks, so that inconsistencies and errors in data collected during the first round were immediately reported to the interviewers for verification during the second round. Finally, daily supervisory checks of the data entry process were performed. The data capture at GSS took the following forms:
1. Manual data entry
2. Scanning
Data editing of the captured data consisted of:
1. Verification or double entry
2. Consistency checks
3. Structure edits
4. Quality Control
1. Manual data entry
2. Scanning
Data editing of the captured data consisted of:
1. Verification or double entry
2. Consistency checks
3. Structure edits
4. Quality Control
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| LSMS Data Manager | The World Bank | [email protected] | Link |
Confidentiality
https://microdata.worldbank.org/index.php/terms-of-use
Access conditions
The Ghana Statistical Statistical Service accepts the offer of the LSMS Database Administrator to distribute the data from the Ghana Living Standard Survey. The Agreement will operate under the conditions listed below.
1. The Ghana Statistical Service retains complete control of who are allowed to use the data, and all wishing to use the data should obtain prior permission from the Ghana Statistical Service. This permission can be obtained by sending an outline of the proposed research together with contact information to:
Dr. Grace Bediako
Government Statistician
Ghana Statistical Service
P.O. Box GP 1098
Accra
GHANA
tel (233) (21) 682647, 682657, 682694, 663578
fax (233) (21) 664304
e-mail: [email protected]
2. Before the data may be released by the LSMS Database Administrator, a receipt from the Ghana Statistical Service indicating a fee has been transferred to the Ghana Statistical Service Account with the Bank of Ghana should be produced. Users must contact the Ghana Statistical Service for information on the fee structure. Payment can also be made by check issued to the Ghana Statistical Service and sent to the Government Statistician at the above address.
Account Name: GHANA STATISTICAL SERVICE
Address: Box GP 1098, Accra
Account Number: 02-253-600-580-00
Destination Bank: Bank of Ghana
Swift Code: BAGHGHAC
Please fax a copy of the receipt of payment to 233-21-664304
3. Users requesting permission to use the data should also fill in and send the agreement form which specifies the conditions for use of the data. The preferred method for sending the agreement form is by e-mail.
4. Under this agreement, the LSMS Office will be responsible for distributing the data for all countries outside Ghana, while the Ghana Statistical Service will distribute the data to users within Ghana. The CD-ROMs, containing both data and documentation, will be sent to you as soon as possible.
1. The Ghana Statistical Service retains complete control of who are allowed to use the data, and all wishing to use the data should obtain prior permission from the Ghana Statistical Service. This permission can be obtained by sending an outline of the proposed research together with contact information to:
Dr. Grace Bediako
Government Statistician
Ghana Statistical Service
P.O. Box GP 1098
Accra
GHANA
tel (233) (21) 682647, 682657, 682694, 663578
fax (233) (21) 664304
e-mail: [email protected]
2. Before the data may be released by the LSMS Database Administrator, a receipt from the Ghana Statistical Service indicating a fee has been transferred to the Ghana Statistical Service Account with the Bank of Ghana should be produced. Users must contact the Ghana Statistical Service for information on the fee structure. Payment can also be made by check issued to the Ghana Statistical Service and sent to the Government Statistician at the above address.
Account Name: GHANA STATISTICAL SERVICE
Address: Box GP 1098, Accra
Account Number: 02-253-600-580-00
Destination Bank: Bank of Ghana
Swift Code: BAGHGHAC
Please fax a copy of the receipt of payment to 233-21-664304
3. Users requesting permission to use the data should also fill in and send the agreement form which specifies the conditions for use of the data. The preferred method for sending the agreement form is by e-mail.
4. Under this agreement, the LSMS Office will be responsible for distributing the data for all countries outside Ghana, while the Ghana Statistical Service will distribute the data to users within Ghana. The CD-ROMs, containing both data and documentation, will be sent to you as soon as possible.
Citation requirements
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
Example:
Ghana Statistical Service (GSS) and The World Bank. Ghana Living Standards Survey (GLSS) 1987-1988. Ref. GHA_1987_GLSS_v02_M. Dataset downloaded from http://microdata.worldbank.org on [date].
- 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
Example:
Ghana Statistical Service (GSS) and The World Bank. Ghana Living Standards Survey (GLSS) 1987-1988. Ref. GHA_1987_GLSS_v02_M. Dataset downloaded from http://microdata.worldbank.org on [date].
Disclaimer and copyrights
Disclaimer
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
Metadata production
DDI Document ID
DDI_GHA_1987-1988_LSS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Adoption on metadata for FAM |
| Development Economics Data Group | DECDG | The world Bank | Documentation of the DDI |
DDI Document version
GHA_1987-1988_LSS_v01_EN_M_v01_A_OCS_v01