Somalia - Somali High Frequency Survey - December 2017, Wave 2

In December 2017, the World Bank, in collaboration with Somali statistical authorities conducted the second wave of the Somali High Frequency Survey to monitor welfare and perceptions of citizens in all accessible areas of 17 regions within Somalia’s pre-war borders including Somaliland which self-declared independence in 1991. The survey interviewed 4,011 urban households, 1,106 rural households, 468 households in Internally Displaced People (IDP) settlements and 507 nomadic households. 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, perceptions and details before displacement for displaced households. 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).

Acronym: 
SHFS-W2 2017
Type: 
Microdata
Topics: 
Topic not specified
Languages Supported: 
English
Geographical Coverage: 
Somalia
Reference ID: 
SOM_2017_SHFS-W2_v01_M
Version Production Date: 
August 9, 2018
Release Date: 
August 21, 2018

Harvest Source

Harvest Source: 
Microdata

Harvest Source ID

Harvest Source ID: 
10015

Last Updated

Last Updated: 
August 21, 2018
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.
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.
Funding Name, Abbreviation, Role: 
Somalia Knowledge for Results from the Multi-Partner Fund for Somalia; Environment and Natural Resources Global Practice
Primary Investigator Name, Affiliation: 
Utz J. Pape - IBRD - World Bank
Questionnaires: 
The household questionnaire is in English. It includes the following modules: - Introduction - Module A: Administrative Information - Module B: Interview Information and Filters - Module C: Household Roster - Module D: Household Characteristics - Module E: Food Consumption - Module F: Non-Food Consumption - Module G: Livestock - Module H: Durable Goods - Module I: Perceptions and Social Services - Module J: Displacement - Module K: Fishing - Module L: Catastrophic Events and Disasters - Module M: Enumerator Conclusions - Appendix A - Enabling Conditions - Appendix B - Validation Conditions and Messages - Appendix C - Instructions - Appendix D - Options - Appendix E - Variables - Appendix F - Option Filters The household questionnaire is provided under the Related Materials tab.
Sampling Procedure: 
Wave 2 of the SHFS employed a multi-stage stratified random sample, ensuring a sample representative of all subpopulations of interest. Strata were defined along two dimensions - administrative location (pre-war regions and emerging states) and population type (urban areas, rural settlements, IDP settlements, and nomadic population). Households were clustered into enumeration areas (EAs), with 12 interviews was expected for each selected EA. Primary sampling units (PSUs) were generated using a variety of techniques depending on the population type. The primary sampling unit (PSU) in urban as well as rural strata was the enumeration area (EA). For IDP strata, primary sampling units were IDP settlements as defined by UNCHR’s Shelter Cluster. Across all strata, PSUs were selected using a systematic random sampling approach with selection probability proportional to size (PPS). In IDP strata, PPS sampling is applied at the IDP settlement level. In second- and final-stage sample selection, a microlisting approach was used, such that EAs were divided into 12 smaller enumeration blocks, which were selected with equal probability. Every block was selected as 12 interviews per EA were required. A similar second-stage sampling strategy was employed for IDP strata. Each IDP settlement was segmented manually into enumeration blocks. Finally, one household per block was interviewed in all selected blocks within the enumeration area.The household was selected randomly with equal probability in two stages, following the micro-listing protocol. The strategy for sampling nomadic households relied on lists of water points. The list of water points was divided up by stratum at the federated member state level and they served as primary sampling units. Water points were selected in the first stage with equal probability, with 12 interviews to be conducted at each selected water point. The selection of nomadic households to interview relied on a listing process at each water point whose aim was to compile an exhaustive list of all nomadic households at the water point. For more details, see accompanying documents, available under the related materials tab.
Series Information: 
Wave 1 was conducted between February and March 2016. Wave 2 was conducted in December 2017.
Study Type: 
Other Household Survey
Subtitle: 
Wave 2
Unit of Analysis: 
Household
Weighting: 
Based on the sampling design, sampling weights were calculated after the completion of data collection. The sampling weight is the inverse probability of selection. In general, 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. For more details see accompanying documents, available under the related materials tab.

No Visualizations Available.

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, Utz J. Pape, World Bank. Somali High Frequency Survey, Wave 2 (SHFS-W2) December 2017, Ref. SOM_2017_SHFS-W2_v01_M. Dataset downloaded from [url] on [date].

In December 2017, the World Bank, in collaboration with Somali statistical authorities conducted the second wave of the Somali High Frequency Survey to monitor welfare and perceptions of citizens in all accessible areas of 17 regions within Somalia’s pre-war borders including Somaliland which self-declared independence in 1991. The survey interviewed 4,011 urban households, 1,106 rural households, 468 households in Internally Displaced People (IDP) settlements and 507 nomadic households. 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, perceptions and details before displacement for displaced households. 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).

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Modified Date
2018-08-24
Release Date
December 31,1969
Identifier
5c5088dd-69b5-4989-a454-a01d3e380038
License
License Not Specified
Rating: 
0
No votes yet
Reference ID: 
SOM_2017_SHFS-W2_v01_M
Acronym: 
SHFS-W2 2017
Type: 
Languages Supported: 
Access Authority Name, Affiliation, Email: 
Microdata Library, World Bank, microdata.worldbank.org
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.
Weighting: 
Based on the sampling design, sampling weights were calculated after the completion of data collection. The sampling weight is the inverse probability of selection. In general, 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. For more details see accompanying documents, available under the related materials tab.
Time Periods: 
August, 2018
Primary Investigator Name, Affiliation: 
Utz J. Pape - IBRD - World Bank
Subtitle: 
Wave 2
Unit of Analysis: 
Household
Geographical Coverage: 
Data Classification of a Dataset: 
Version Production Date: 
Thursday, August 9, 2018
Series Information: 
Wave 1 was conducted between February and March 2016. Wave 2 was conducted in December 2017.
Sampling Procedure: 
Wave 2 of the SHFS employed a multi-stage stratified random sample, ensuring a sample representative of all subpopulations of interest. Strata were defined along two dimensions - administrative location (pre-war regions and emerging states) and population type (urban areas, rural settlements, IDP settlements, and nomadic population). Households were clustered into enumeration areas (EAs), with 12 interviews was expected for each selected EA. Primary sampling units (PSUs) were generated using a variety of techniques depending on the population type. The primary sampling unit (PSU) in urban as well as rural strata was the enumeration area (EA). For IDP strata, primary sampling units were IDP settlements as defined by UNCHR’s Shelter Cluster. Across all strata, PSUs were selected using a systematic random sampling approach with selection probability proportional to size (PPS). In IDP strata, PPS sampling is applied at the IDP settlement level. In second- and final-stage sample selection, a microlisting approach was used, such that EAs were divided into 12 smaller enumeration blocks, which were selected with equal probability. Every block was selected as 12 interviews per EA were required. A similar second-stage sampling strategy was employed for IDP strata. Each IDP settlement was segmented manually into enumeration blocks. Finally, one household per block was interviewed in all selected blocks within the enumeration area.The household was selected randomly with equal probability in two stages, following the micro-listing protocol. The strategy for sampling nomadic households relied on lists of water points. The list of water points was divided up by stratum at the federated member state level and they served as primary sampling units. Water points were selected in the first stage with equal probability, with 12 interviews to be conducted at each selected water point. The selection of nomadic households to interview relied on a listing process at each water point whose aim was to compile an exhaustive list of all nomadic households at the water point. For more details, see accompanying documents, available under the related materials tab.
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.
Release Date: 
Tuesday, August 21, 2018
Last Updated Date: 
Tuesday, August 21, 2018
Questionnaires: 
The household questionnaire is in English. It includes the following modules: - Introduction - Module A: Administrative Information - Module B: Interview Information and Filters - Module C: Household Roster - Module D: Household Characteristics - Module E: Food Consumption - Module F: Non-Food Consumption - Module G: Livestock - Module H: Durable Goods - Module I: Perceptions and Social Services - Module J: Displacement - Module K: Fishing - Module L: Catastrophic Events and Disasters - Module M: Enumerator Conclusions - Appendix A - Enabling Conditions - Appendix B - Validation Conditions and Messages - Appendix C - Instructions - Appendix D - Options - Appendix E - Variables - Appendix F - Option Filters The household questionnaire is provided under the Related Materials tab.
Harvest Source: 
Harvest Source ID: 
10015
Citation Text: 
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, Utz J. Pape, World Bank. Somali High Frequency Survey, Wave 2 (SHFS-W2) December 2017, Ref. SOM_2017_SHFS-W2_v01_M. Dataset downloaded from [url] on [date].
Modified date: 
17764
Study Type: 
Other Household Survey
Primary Dataset: 
Yes

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is made available under the World Bank Microdata Research License

Share Metadata

The information on this page (the dataset metadata) is also available in these formats.

PRINT EMAIL JSON RDF

via the DKAN API