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Household Education and Health Survey 1993-1994

Gambia, The, 1993 - 1994
Reference ID
GMB_1993_HEHS_v01_M
Producer(s)
Central Statistics Department
Metadata
DDI/XML JSON
Created on
Jul 07, 2015
Last modified
Mar 29, 2019
Page views
37875
Downloads
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  • Study Description
  • Data Dictionary
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  • Related Publications
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    GMB_1993_HEHS_v01_M

    Title

    Household Education and Health Survey 1993-1994

    Country
    Name Country code
    Gambia, The GMB
    Study type

    Other Household Survey [hh/oth]

    Abstract

    The Household Education and Health Survey has one fundamental objective, to provide reliable information base for formulating economic and social policy. The focus of the survey is therefore diagnostic - explaining how and why households respond to changes in the macroeconomic environment and how their well-being is thereby affected.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household
    Individal/ person
    Children under 5 years of age

    Scope

    Notes

    The 1993-94 Household Education and Health Survey covered the following topics:

    • Household particulars
    • Household roster (including employment for members 7 years and above)
    • Educational status (for all persons 6 years and above)
    • Education expenditures
    • Health
    • Physical handicap
    • Fertility (for women aged 14 to 49)
    • Housing
    • Employment of head
    • Livestock and agricultural holdings
    • Crop production
    • Non-farm enterprises (genera information)
    • Non-farm enterprises details
    • Household expenditure
    • Property and land
    • Household income
    • Vaccinations (for children 5 years and less)
    • Anthropometry (for children between 3 and 60 months)

    Coverage

    Geographic Coverage

    National coverage

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Central Statistics Department Ministry of Finance and Economic Affairs, The Gambia
    Funding Agency/Sponsor
    Name Role
    African Development Fund Funded the project

    Sampling

    Sampling Procedure

    Overall sampling and budgetary consideration suggested that a sample size of about 2000 households would be both statistically appropriate and financially feasible. It would be statistically appropriate because it would provide more than enough cases for a national sample and sufficient cases for Divisional level analysis. It was appropriate to the budget because estimates of the time and resources suggested it was well within the capabilities of the team envisaged for data collection.

    It is technically possible to draw a simple random sample from all of the 100,000 households in Gambia. However it is not economically feasible to conduct such a survey because of the large amount of travel that would be required to conduct the interviews in rural areas with a scattered population. Therefore some method of clustering the households was necessary to provide for a staged sampling procedure.

    Geographical clustering already exists in the form of census Enumeration Areas. These EAs are mapped to contain approximately 500 persons, and cover the entire country, conforming to the administrative boundaries. Enumeration Areas are approximately the same size [500 persons]. However in actuality they range from about 300 to 1000 persons. Some classification by size is desirable to maintain sampling probabilities.

    The number of households selected per EA is a further factor in the sampling process. Maximizing the number of households per EA has the advantage of reducing travel costs. It also increases sampling error by sharply reducing the number of EAs sampled. Minimizing the number of households per EA greatly increases costs but does not affect sampling error to the same extent. A constant tae of households per EA has no effect on the sampling error ever proportional probability sampling in stage one. Because urban populations are more likely to be residentially homogenous the constant take for urban EAs is set at half of that for rural EAs. In villages the rich and the poor are more likely to be found within the same EA.

    Taking all the above considerations into account it was decided to use a multi-stage sampling approach using probability proportional to size as recommended in the Working Paper.

    (Refer to Chapter 2 (Methodology) in the survey final report for details of sampling information)

    Data collection

    Dates of Data Collection
    Start End
    1993-11 1994-03
    Data Collection Notes

    Training
    All supervisors, interviewers and data entry clerks went through four weeks of training on data collection. The training included interview techniques, detailed discussion of each question and training in measuring and estimating quantities consumed for the consumption of own produce section.

    Because the majority of interviews would be conducted in one of the local languages some time was spent on ensuring standard translations of the key questions. It was anticipated that most interviews would be conducted in Mandinka, Wollof or Fula the three most common local languages. Interviewers were in structured to secure an interpreter if there was no common language.

    The trainees conducted some household interviews under close supervision in the Greater Banjul area and also in the North Bank Division which is largely rural and agricultural. The data entry clerks collected data in Greater Banjul for a month then they received further training in the specifics of the data entry program.

    Data Collation
    The data was collected from the beginning of November 1993 to the end of March 1994. In rural areas a field team conducted roughly a round of interviews in two EAs (36 interviews) per week. The field teams were based in five locations around the country.

    Interviews took place in Mandinka[55 percent] or Wollof[33 percent]. A minority used Fula[4 percent] or some other language. Interpreters were used in 2 percent of cases.

    Households were defined as a group of persons acknowledging one head and with some sharing of food and budgets. In the Gambian context this meant that most polygamous households were counted as one large household.

    Quality control of the data was conducted at a number of levels. Team supervisors checked survey forms for missing data and coded some data. The Team Leader and Field Manager visited each rural team at several points in the data collection, while members of the Head Office staff supervised the two teams working in and around Greater Banjul. Supervisors came into the Head Office on a number of occasions for consultation and progress reporting.

    Each survey was checked again by a member of the professional staff once ot reached Head Office. Missing or suspect data detected at this point resulted in the return of the questionnaire to the team with a request to call back on the household and obtain or verify the data.

    Data processing

    Data Editing

    Data Entry
    The data entry tool place in the head office in Banjul, where the process was supervised by senior staff. Data entry used the US Bureau of Census program IMPS, which provided extensive facilities for data entry and checking. The surveys were extensively precoded and the data entry operators referred any questionable data back to one of the office supervisors. One of the advantages of the IMPS system is its ability to produce concatenated batches easily and to process frequency tables using the data dictionary defined for data entry. It was therefore possible to have frequent updates of the data entered and check for trends and obvious errors. The data entry operators were able to maintain a good speed of data entry.

    Data Cleaning
    Because of the preceded data entry program there were few out of range errors in the data. Most of the data cleaning process was involved with ensuring that each household was represented in the seventeen data sets that comprised the complete run of data. Some households were duplicated and some had not been collected or not returned after call backs.

    There were some errors on mispunched legitimate codes but on the whole the rigorous program of checking at several stages before data entry kept the reliability and integrity of the data high.

    Data Access

    Access authority
    Name Affiliation URL
    Central Statistics Department Ministry of Finance and Economic Affairs, The Gambia http://www.gambia.gm/Statistics/index.htm
    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:

    Central Statistics Department, The Gambia. Household Education and Health Survey 1993-1994. Ref. GMB_1993_HEHS_v01_M. Dataset downloaded from [source] 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.

    Contacts

    Contacts
    Name Affiliation Email URL
    Household Survey, Central Statistics Department Ministry of Finance and Economic Affairs, The Gambia Householdsurvey@csd.gm http://www.gambia.gm/Statistics/index.htm

    Metadata production

    DDI Document ID

    DDI_GMB_1993_HEHS_v01_M_WB

    Producers
    Name Role
    World Bank, Development Economics Data Group Documentation of the DDI
    Date of Metadata Production

    2013-09-12

    Metadata version

    DDI Document version

    Version 01 (September 2013): Metadata in this DDI is excerpted from "1993-94 Household Education and Health Survey Report".

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