Estimation of Poverty in Somalia Using Innovative Methodologies
Somalia is highly data-deprived, leaving policy makers to operate in a statistical vacuum. To overcome this challenge, the World Bank implemented wave 2 of the Somali High Frequency Survey to better understand livelihoods and vulnerabilities and, e...
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| Format: | Working Paper |
| Language: | English |
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World Bank, Washington, DC
2019
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| Online Access: | http://documents.worldbank.org/curated/en/509221549985694077/Estimation-of-Poverty-in-Somalia-Using-Innovative-Methodologies http://hdl.handle.net/10986/31267 |
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okr-10986-312672022-09-20T00:14:31Z Estimation of Poverty in Somalia Using Innovative Methodologies Pape, Utz Wollburg, Philip POVERTY MEASUREMENT CONSUMPTION SURVEY DESIGN LIVELIHOODS FRAGILE STATES INSECURITY RAPID CONSUMPTION METHODOLOGY GEO-SPATIAL DATA SATELLITE IMAGERY POVERTY ESTIMATE NOMADIC POPULATION Somalia is highly data-deprived, leaving policy makers to operate in a statistical vacuum. To overcome this challenge, the World Bank implemented wave 2 of the Somali High Frequency Survey to better understand livelihoods and vulnerabilities and, especially, to estimate national poverty indicators. The specific context of insecurity and lack of statistical infrastructure in Somalia posed several challenges for implementing a household survey and measuring poverty. This paper outlines how these challenges were overcome in wave 2 of the Somali High Frequency Survey through methodological and technological adaptations in four areas. First, in the absence of a recent census, no exhaustive lists of census enumeration areas along with population estimates existed, creating challenges to derive a probability-based representative sample. Therefore, geospatial techniques and high-resolution imagery were used to model the spatial population distribution, build a probability-based population sampling frame, and generate enumeration areas to overcome the lack of a recent population census. Second, although some areas remained completely inaccessible due to insecurity, even most accessible areas held potential risks to the safety of field staff and survey respondents, so that time spent in these areas had to be minimized. To address security concerns, the survey adapted logistical arrangements, sampling strategy using micro-listing, and questionnaire design to limit time on the ground based on the Rapid Consumption Methodology. Third, poverty in completely inaccessible areas had to be estimated by other means. Therefore, the Somali High Frequency Survey relies on correlates derived from satellite imagery and other geo-spatial data to estimate poverty in such areas. Finally, the nonstationary nature of the nomadic population required special sampling strategies. 2019-02-13T17:29:52Z 2019-02-13T17:29:52Z 2019-02 Working Paper http://documents.worldbank.org/curated/en/509221549985694077/Estimation-of-Poverty-in-Somalia-Using-Innovative-Methodologies http://hdl.handle.net/10986/31267 English Policy Research Working Paper;No. 8735 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Africa Somalia |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
POVERTY MEASUREMENT CONSUMPTION SURVEY DESIGN LIVELIHOODS FRAGILE STATES INSECURITY RAPID CONSUMPTION METHODOLOGY GEO-SPATIAL DATA SATELLITE IMAGERY POVERTY ESTIMATE NOMADIC POPULATION |
| spellingShingle |
POVERTY MEASUREMENT CONSUMPTION SURVEY DESIGN LIVELIHOODS FRAGILE STATES INSECURITY RAPID CONSUMPTION METHODOLOGY GEO-SPATIAL DATA SATELLITE IMAGERY POVERTY ESTIMATE NOMADIC POPULATION Pape, Utz Wollburg, Philip Estimation of Poverty in Somalia Using Innovative Methodologies |
| geographic_facet |
Africa Somalia |
| relation |
Policy Research Working Paper;No. 8735 |
| description |
Somalia is highly data-deprived, leaving
policy makers to operate in a statistical vacuum. To
overcome this challenge, the World Bank implemented wave 2
of the Somali High Frequency Survey to better understand
livelihoods and vulnerabilities and, especially, to estimate
national poverty indicators. The specific context of
insecurity and lack of statistical infrastructure in Somalia
posed several challenges for implementing a household survey
and measuring poverty. This paper outlines how these
challenges were overcome in wave 2 of the Somali High
Frequency Survey through methodological and technological
adaptations in four areas. First, in the absence of a recent
census, no exhaustive lists of census enumeration areas
along with population estimates existed, creating challenges
to derive a probability-based representative sample.
Therefore, geospatial techniques and high-resolution imagery
were used to model the spatial population distribution,
build a probability-based population sampling frame, and
generate enumeration areas to overcome the lack of a recent
population census. Second, although some areas remained
completely inaccessible due to insecurity, even most
accessible areas held potential risks to the safety of field
staff and survey respondents, so that time spent in these
areas had to be minimized. To address security concerns, the
survey adapted logistical arrangements, sampling strategy
using micro-listing, and questionnaire design to limit time
on the ground based on the Rapid Consumption Methodology.
Third, poverty in completely inaccessible areas had to be
estimated by other means. Therefore, the Somali High
Frequency Survey relies on correlates derived from satellite
imagery and other geo-spatial data to estimate poverty in
such areas. Finally, the nonstationary nature of the nomadic
population required special sampling strategies. |
| format |
Working Paper |
| author |
Pape, Utz Wollburg, Philip |
| author_facet |
Pape, Utz Wollburg, Philip |
| author_sort |
Pape, Utz |
| title |
Estimation of Poverty in Somalia Using Innovative Methodologies |
| title_short |
Estimation of Poverty in Somalia Using Innovative Methodologies |
| title_full |
Estimation of Poverty in Somalia Using Innovative Methodologies |
| title_fullStr |
Estimation of Poverty in Somalia Using Innovative Methodologies |
| title_full_unstemmed |
Estimation of Poverty in Somalia Using Innovative Methodologies |
| title_sort |
estimation of poverty in somalia using innovative methodologies |
| publisher |
World Bank, Washington, DC |
| publishDate |
2019 |
| url |
http://documents.worldbank.org/curated/en/509221549985694077/Estimation-of-Poverty-in-Somalia-Using-Innovative-Methodologies http://hdl.handle.net/10986/31267 |
| _version_ |
1764473931984535552 |