Somaliland Household Survey 2013, Adapted for the Somali High Frequency Survey
Somalia, 2013
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SOM_2012_SHS_v01_M_v01_A_SHFS
Somaliland Household Survey 2013
Adapted for the Somali High Frequency Survey
| Name | Country code |
|---|---|
| Somalia | SOM |
Other Household Survey
Sample survey data [ssd]
Household
Coverage
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
| Name |
|---|
| The World Bank Group |
| Name | Affiliation | Role |
|---|---|---|
| Utz J.Pape | The World Bank Group | Adaptation for the Somali High Frequency Survey |
| Name | Role |
|---|---|
| World Bank Group | Funding |
Sampling
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.
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.
Survey instrument
The SHS 2013 questionnaire is available under the Related Materials tab
Data collection
| Start | End |
|---|---|
| 2013-01-03 | 2013-04-26 |
| Name |
|---|
| Kimetrica, LLC |
Data processing
Accompanying Stata do-files for carrying out the household analysis using the SHS 2013 data are provided under the Related Materials tab.
Depositor information
| Name | Affiliation |
|---|---|
| Poverty Global Practice - Africa Region | World Bank |
Data Access
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. |
The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
- The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the World Bank Microdata Library.
- The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
- No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the World Bank Microdata Library.
- No attempt will be made to produce links among datasets provided by the World Bank Microdata Library, or among data from the World Bank Microdata Library and other datasets that could identify individuals or organizations.
- Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the World Bank Microdata Library will cite the source of data in accordance with the Citation Requirement provided with each dataset.
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:
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]
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Utz J. Pape | The World Bank | upape@worldbank.org |
Metadata production
DDI_ SOM_2012_SHS_v01_M_v01_A_SHFS_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
2017-04-04
Metadata version
Version 01 (April 2017)