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Ultra-poor Graduation Midline Survey in Somalia, 2023

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
Int
Éditeur:
IntIntIFPLei
Éditeur:
Har
Hôte:avatar
This dataset comes from the midline survey of a randomized impact evaluation of the Ultra-Poor Graduation (UPG) Model implemented by World Vision Somalia in internally displaced persons (IDP) camps in Baidoa, Somalia. The UPG program supports extremely vulnerable households through a combination of cash transfers, savings groups, productive asset or skills training, and life-skills coaching.

The midline survey, conducted from July 22 to August 7, 2023, followed up with households to assess progress toward improved food security, household consumption, and asset accumulation, along with secondary outcomes on financial inclusion, income generation, consumption patterns, social cohesion, and locus of control.

Eligible households were identified using a vulnerability assessment based on the Household Hunger Scale and length of residence in the IDP site. Of 6,323 eligible households, 5,000 were enrolled, and 4,116 households (2,872 treatment and 1,244 control) were included in the evaluation. The evaluation survey tracks approximately 4,000 households over three years (2022–2024) to assess how effectively the UPG model reduces poverty and strengthens resilience in an urban humanitarian context. STATA, 17 Household- and Community-level Surveys

Visit

doi.orgdataverse.harvard.edu

Tags

Agricultural SciencesSocial Sciencesinternally displaced personsconflictsnatural disasterswomenunemploymentpovertylivelihoodslivestock+7

Licenses

info:eu-repo/semantics/openAccessCustom terms specific to this datasethttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.7910/DVN/207AK5

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