Somaliland Household Survey 2013, Adapted for the Somali High Frequency Survey
Adapted for the Somali High Frequency Survey
Other Household Survey
In 2013, the World Bank, in collaboration with the Ministry of Planning and Development implemented the 2013 Somaliland Household Survey (SHS 2013). Somaliland self-declared independence in 1991. The survey interviewed 852 urban and 873 rural households. The sample was drawn randomly based on a multi-level clustered design. This dataset contains information on consumption, income and household characteristics. The sample is representative of urban Somaliland, and parts of rural Somaliland. It does not include nomadic households or those affected by the ongoing conflict. The data and code reproduce some of the results from the original submission of the SHS 2013, but also comparable poverty estimates to those obtained with the Somali High Frequency Survey.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The SHS 2013 sample is representative of urban Somaliland, and parts of rural Somaliland.
The sample does not include nomadic households (which recent estimates suggest comprises 36% of the population), and omits households in areas affected by ongoing conflict
Producers and sponsors
The World Bank Group
The World Bank Group
Adaptation for the Somali High Frequency Survey
World Bank Group
The SHS 2013 interviewed 852 urban and 873 rural households. The frame used for selecting enumeration areas (EAs) was a mixed frame where the database of EAs for the UNFPA urban survey was used for all urban areas (in two strata: Hergaisa and Other Urban). The rural frame used the list of polling stations which was provided by the electoral commission.The sample frame used was the 2012 cartographic list of enumeration areas.
The sample employs a stratified two-staged clustered design with the Primary Sampling Unit (PSU) being the enumeration area. Within each enumeration area, 9 households were selected for interviews. Then, a listing approach was used to select these 9 households randomly for interviews. Three primary strata were defined as: rural, Hergaisa and other urban areas. The population proportion varied by stratum, and the general agreement in informal discussions was that about 50% of the population was urban and 50% were rural.
Deviations from the Sample Design
A total of 26 EAs had to be replaced, and except in the case of Hergaisa, the replacements were rural polling stations. The most prevalent problem in the rural area were in the Sool, Sannag and Sahil zones, and these were identified as problems with security. A practical approach was undertaken by using the “nearest secure neighbor”. The idea was to assure that the sample polling station in the same district had similar characteristics to those of the insecure sample PSU, in order to maintain the geographic representativeness of the sample and reduce the bias from the PSU nonresponse
The sampling weight is the inverse probability of selection, (calculated by multiplying the probabilities at each sampling stage). The selection probability for a household can be decomposed into the selection probability of the EA and the selection probability of the household within the EA.
Dates of Data Collection
Data Collection Mode
The SHS 2013 questionnaire is available under the Related Materials tab
Accompanying Stata do-files for carrying out the household analysis using the SHS 2013 data are provided under the Related Materials tab.
Utz J. Pape
The World Bank
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Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
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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
Pape, Utz J.The World Bank Group. Somaliland Household Survey (SHS) 2013, Adapted for the Somali High Frequency Survey. Ref. SOM_2013_SHS_v01_M_v01_A_SHFS. Downloaded from [URL] on [date]
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