Somaliland Household Survey 2013
Adapted for the Somali High Frequency Survey
Somalia, 2013
Get Microdata
Reference ID
SOM_2013_SHS_v01_M_v01_A_SHFS
Producer(s)
The World Bank Group
Metadata
Created on
Mar 13, 2017
Last modified
Jul 21, 2023
Page views
1017789
Downloads
4577
Identification
Survey ID Number
SOM_2013_SHS_v01_M_v01_A_SHFS
Title
Somaliland Household Survey 2013
Subtitle
Adapted for the Somali High Frequency Survey
Country
| Name | Country code |
|---|---|
| Somalia | SOM |
Study type
Other Household Survey
Abstract
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
Household
Coverage
Geographic Coverage
The SHS 2013 sample is representative of urban Somaliland, and parts of rural Somaliland.
Universe
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
Primary investigators
| Name |
|---|
| The World Bank Group |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Utz J.Pape | The World Bank Group | Adaptation for the Somali High Frequency Survey |
Funding Agency/Sponsor
| Name | Role |
|---|---|
| World Bank Group | Funding |
Sampling
Sampling Procedure
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.
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
Weighting
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.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2013-01-03 | 2013-04-26 |
Data Collection Mode
Face-to-face [f2f]
Data Collectors
| Name |
|---|
| Kimetrica, LLC |
Questionnaires
Questionnaires
The SHS 2013 questionnaire is available under the Related Materials tab
Data Processing
Data Editing
Accompanying Stata do-files for carrying out the household analysis using the SHS 2013 data are provided under the Related Materials tab.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Utz J. Pape | The World Bank | upape@worldbank.org |
Confidentiality
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.
Access conditions
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:
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
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:
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]
- 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
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_ SOM_2013_SHS_v01_M_v01_A_SHFS_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2017-04-04
DDI Document version
Version 01 (April 2017)