five

Ultra-poor Graduation Endline Survey in Somalia, 2024

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://doi.org/10.7910/DVN/4QFPA7
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset comes from the endline 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 endline survey, conducted from September 27 to October 20, 2024, collected follow-up data to assess final program outcomes on food security, household consumption, and asset accumulation, as well as financial inclusion, income generation, social cohesion, and locus of control. Eligible households were identified through a vulnerability assessment based on the Household Hunger Scale (HHS) and length of residence in the IDP site. Of 6,323 eligible households, 5,000 were enrolled, with 4,116 households (2,872 treatment and 1,244 control) included in the evaluation sample. The survey tracks households over three years (2022–2024) to assess the UPG model’s effectiveness in reducing poverty and strengthening household resilience in an urban humanitarian context.
创建时间:
2025-11-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作