Integrated Household Survey 2010
Gambia, 2010 - 2011
Get MicrodataIdentification
| Name | Country code |
|---|---|
| Gambia, The | GMB |
1. To provide identification of policy target groups.
2. To derive consumption patterns of households.
3. To provide a mechanism whereby key poverty indicators can easily and regularly be produced in order to describe and monitor the well-being of different categories of households.
4. To provide some key data on how the economic policies affect the availability and quality of social and economic services to households, both as producers and consumers of products.
5. To collect data relating to such topics such as health, education, employment, environment, agriculture and governance.
6. To identify individual items that should be included in the consumption basket.
7. To provide data for poverty analysis and remittances studies.
The data collection for the survey lasted for a period of one year and covered 4,800 randomly selected households on a Probability Proportional to Size (PPS) basis across Local Government Areas (LGAs). The IHS is scheduled to be conducted on regular intervals preferably every five years, with light poverty studies at less frequent intervals, in view of current developments taking place in The Gambia.
- Individuals
Version
Scope
The 2010 Integrated Household Survey covered the following topics:
- Household demographic characteristics
- Health for all household members
- Fertility
- Education and literacy
- Non-formal training and literacy
- Employment
- Household income
- Rent paid by the household
- Housing amenities
- Ownership of assets
- Perception about poverty
- Unemployment
Coverage
National Coverage
Producers and sponsors
| Name | Affiliation |
|---|---|
| The Gambia Bureau of Statistics | Government of The Gambia |
| Name | Role |
|---|---|
| The Gambia Government | |
| United Nations Development Programme |
Technical and financial assistance |
Sampling
The Gambia Integrated Household Survey (IHS) was administered to a representative sample of households. A total of 4,800 households were interviewed. In the previous IHS 2003/2004, about one third of the surveyed households were in urban areas and two thirds in rural areas. It should be noted that the 2010 survey followed the same sampling technique as the 2003 selecting the same enumeration areas. Some of these were rural in 2003 but considered urban in 2010 based on developments in terms of population, infrastructure and social services.
The daily record form which was used for recording daily household expenditure was administered to half of the sample in 2003/04 and was not used in 2010 because of low literacy level of some of the sampled households.
The survey used a two-stage probability proportional to size design (PPS), stratified random sampling (size being number of households per EA) without replacement was adopted. In the first stage 240 Enumeration areas were selected consisting of four sub-samples of 60 EA. Each was covered during the entire survey period of twelve months. Each phase of the survey process lasted for 3 months and was allocated 60 EAs.
Survey instrument
Three types of questionnaires were used during the survey namely;
- Household Questionnaire Part I
- Household Consumption Expenditure Questionnaire Part II
- Village Questionnaire Part III
Data collection
| Start | End |
|---|---|
| 2010-01-01 | 2011-01-03 |
| Name | Affiliation |
|---|---|
| The Gambia Bureau of Statistics | The Gambia Government |
Access policy
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:
The Gambia Bureau of Statistics, The Gambia Integrated Household Survey (IHS) 2010, Ref. GMB_2010_IHS_v01_M. Dataset downloaded from [URL] 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.
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank |
Documentation of the study |
Metadata version
- Adding literal questions on missing variables on datasets and editing categorical labels
Version 01 (May 2014)