High Frequency Survey, HFS 2016
Somalia, 2016
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Reference ID
SOM_HFS_2016_HD_V2.0
Producer(s)
Economic Research Forum, Utz J. Pape - World Bank, Directorate of National Statistics- Federal Government of Somalia
Created on
Nov 19, 2017
Last modified
Nov 19, 2017
Page views
235158
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4865
Identification
Survey ID
SOM_HFS_2016_HD_V2.0
Title
High Frequency Survey, HFS 2016
Country
| Name | Country code |
|---|---|
| Somalia | SOM |
Study type
Income/Expenditure/Household Survey [hh/ies]
Abstract
<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED </p>
Between February and March 2016, the World Bank, in collaboration with Somali statistical authorities conducted the first wave of the Somali High Frequency Survey to monitor welfare and perceptions of citizens in all accessible areas of 9 regions within Somalia's pre-war borders including Somaliland which self-declared independence in 1991. The survey interviewed 2,882 urban households, 822 rural and 413 households in Internally Displaced People (IDP) settlements. The sample was drawn randomly based on a multi-level clustered design. This dataset contains information on economic conditions, education, employment, access to services, security and perceptions. It also includes comprehensive information on assets and consumption, to allow estimation of poverty based on the Rapid Consumption methodology as detailed in Pape and Mistiaen (2014).
The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.
Between February and March 2016, the World Bank, in collaboration with Somali statistical authorities conducted the first wave of the Somali High Frequency Survey to monitor welfare and perceptions of citizens in all accessible areas of 9 regions within Somalia's pre-war borders including Somaliland which self-declared independence in 1991. The survey interviewed 2,882 urban households, 822 rural and 413 households in Internally Displaced People (IDP) settlements. The sample was drawn randomly based on a multi-level clustered design. This dataset contains information on economic conditions, education, employment, access to services, security and perceptions. It also includes comprehensive information on assets and consumption, to allow estimation of poverty based on the Rapid Consumption methodology as detailed in Pape and Mistiaen (2014).
The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.
Kind of data
Sample survey data [ssd]
Unit of analysis
1- Household/family.
2- Individual/person.
2- Individual/person.
Version
Version
V1.0: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.
V2.0: A cleaned and a harmonized version of the survey dataset, including all variables in V1.0 in addition to a number of new/detailed-composite coded version of the variables considered essential on the household as well as the individual level, produced by the Economic Research Forum for dissemination.
V2.0: A cleaned and a harmonized version of the survey dataset, including all variables in V1.0 in addition to a number of new/detailed-composite coded version of the variables considered essential on the household as well as the individual level, produced by the Economic Research Forum for dissemination.
Version date
2017-10
Version notes
All documentation available for the original survey provided by the Statistical Agency, and for the harmonized datasets produced by the Economic Research Forum, has been published, along with a copy of all international classifications of expenditures, occupations and economic activities used during the harmonization process.
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats.
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats.
Scope
Notes
Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads' and spouses' characteristics, annual household expenditure and income.
Individual: Includes demographic, migration, education, labor and health characteristics, as well as annual income for household members identified as earners. Moreover, fathers' and mothers' characteristics are generated for household members if possible.
Individual: Includes demographic, migration, education, labor and health characteristics, as well as annual income for household members identified as earners. Moreover, fathers' and mothers' characteristics are generated for household members if possible.
Topics
| Topic | Vocabulary |
|---|---|
| Poverty | ERF |
| Expenditure | ERF |
| Income | ERF |
| Infrastructure | ERF |
| Education | ERF |
| Labor | ERF |
| Health | ERF |
Coverage
Geographic coverage
Covering a sample of urban, rural and IDP settlements areas in all the governorates.
Universe
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Producers and sponsors
Primary investigators
| Name |
|---|
| Economic Research Forum |
| Utz J. Pape - World Bank |
| Directorate of National Statistics- Federal Government of Somalia |
Sampling
Sampling procedure
<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED </p>
The sample employs a stratified two-staged clustered design with the Primary Sampling Unit (PSU) being the enumeration area. Within each enumeration area, 12 households were selected for interviews.
Two different listing approaches were used. In 2 strata with more volatile security as well as for IDP camps, a multi-stage cluster design was employed (micro-listing). Each selected enumeration area was divided into multiple segments and each segment was further divided into blocks. Within each enumeration area, one segment was randomly selected and within the segment 12 blocks were chosen. In each block, all structures were listed before selecting randomly one structure. Within the selected structure, all households were listed and one household randomly selected for interview. In strata less volatile (14 strata), the complete enumeration area was listed before 12 households were randomly selected for interviews (full-listing).
The sample employs a stratified two-staged clustered design with the Primary Sampling Unit (PSU) being the enumeration area. Within each enumeration area, 12 households were selected for interviews.
Two different listing approaches were used. In 2 strata with more volatile security as well as for IDP camps, a multi-stage cluster design was employed (micro-listing). Each selected enumeration area was divided into multiple segments and each segment was further divided into blocks. Within each enumeration area, one segment was randomly selected and within the segment 12 blocks were chosen. In each block, all structures were listed before selecting randomly one structure. Within the selected structure, all households were listed and one household randomly selected for interview. In strata less volatile (14 strata), the complete enumeration area was listed before 12 households were randomly selected for interviews (full-listing).
Deviations from sample design
EAs were replaced if security rendered field work unfeasible. Replacements were approved by the project manager. Replacement of households were approved by the supervisor after a total of three unsuccessful visits of the household.
Response rates
For the survey sample, the response rate was 95.9% (92.8% in urban areas and 98.5% in rural areas).
Weighting
The sampling weight is the inverse probability of selection.
For strata with full-listing, 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. For strata with a micro-listing, the selection probability for a household can be decomposed into the selection probability of the EA, the selection probability of the block and selection probability of the household within the block
Sampling weights were then scaled to equal the number of households per analytical strata using the data from the Population Estimation Survey of Somalia (PESS) 2014. More information can be found in the Technical Appendix.
For strata with full-listing, 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. For strata with a micro-listing, the selection probability for a household can be decomposed into the selection probability of the EA, the selection probability of the block and selection probability of the household within the block
Sampling weights were then scaled to equal the number of households per analytical strata using the data from the Population Estimation Survey of Somalia (PESS) 2014. More information can be found in the Technical Appendix.
Survey instrument
Questionnaires
Questionnaire Modules
- Household Roster (110 questions)
- Household Characteristics (38 questions)
- Consumption
- Food (30 questions per item)
- Non-Food (14 questions per item)
- Livestock (39 questions per item)
- Durables (16 questions per item)
- Perception (24 questions)
- Food Security* (24 questions)
- Income and Remittances* (14 questions)
- Household Enterprise* (172 questions)
- Shocks* (15 questions)
- Household Roster (110 questions)
- Household Characteristics (38 questions)
- Consumption
- Food (30 questions per item)
- Non-Food (14 questions per item)
- Livestock (39 questions per item)
- Durables (16 questions per item)
- Perception (24 questions)
- Food Security* (24 questions)
- Income and Remittances* (14 questions)
- Household Enterprise* (172 questions)
- Shocks* (15 questions)
Data collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2016-02-01 | 2016-03-31 | - |
Data processing
Cleaning operations
----> Harmonized Data
- The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets.
- The harmonization process starts with cleaning all raw data files received from the Statistical Agency.
- Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/compute /recode/rename/format/label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.
- The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets.
- The harmonization process starts with cleaning all raw data files received from the Statistical Agency.
- Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/compute /recode/rename/format/label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.
Data Access
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Economic Research Forum | ERF | www.erf.org.eg | erfdataportal@erf.org.eg |
Confidentiality
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement. The data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures. |
Access conditions
Licensed datasets, accessible under conditions.
Citation requirement
The users should cite the Economic Research Forum, the World Bank and the Directorate of National Statistics as follows:
OAMDI, 2017. Harmonized Household Income and Expenditure Surveys (HHIES), http://erf.org.eg/data-portal/. Version 2.0 of Licensed Data Files; HFS 2016 - Utz J. Pape, World Bank and Directorate of National Statistics, Federal Government of Somalia. Egypt: Economic Research Forum (ERF).
OAMDI, 2017. Harmonized Household Income and Expenditure Surveys (HHIES), http://erf.org.eg/data-portal/. Version 2.0 of Licensed Data Files; HFS 2016 - Utz J. Pape, World Bank and Directorate of National Statistics, Federal Government of Somalia. Egypt: Economic Research Forum (ERF).
Disclaimer and copyrights
Disclaimer
The Economic Research Forum, the World Bank and the Directorate of National Statistics have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
Copyright
(c) 2017, Economic Research Forum | (c) 2016, World Bank | (c) 2016, Directorate of National Statistics
Contacts
Contacts
| Name | URL | |
|---|---|---|
| Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt | erfdataportal@erf.org.eg | www.erf.org.eg |
Metadata production
Document ID
SOM_HFS_2016_HD_V2.0
Producers
| Name | Role |
|---|---|
| Economic Research Forum | Cleaning and harmonizing raw data received from the Statistical Agency |
Date of metadata production
2017-10
Metadata version
Version
Version 2.0