five

Socio-Economic Impact of COVID-19 on Refugees - Panel Study - Kenya

收藏
microdata.worldbank.org2021-05-13 更新2025-03-25 收录
下载链接:
https://microdata.worldbank.org/index.php/catalog/3961
下载链接
链接失效反馈
官方服务:
资源简介:
Abstract --------------------------- The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and urban areas. While a census was used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual. Geographic coverage --------------------------- Whole country Analysis unit --------------------------- Individual and Household Universe --------------------------- All persons of concern for UNHCR Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- Individuals (18 years and above) with active phone numbers were randomly selected from UNHCR database for each of the four camp sites - Kakuma, Kalobeyei, Dadaab and Urban. For Shona, we took the sample from the Socioeconomic Assessment survey. Due to the smaller sample size of the Shona population (782), we use everybody in the sample. Those selected individuals from each site were sent an SMS, stating that they have been randomly selected to participate in a socio-economic impact of COVID-19 survey. Mode of data collection --------------------------- Computer Assisted Telephone Interview [cati] Research instrument --------------------------- The questionnaire included 12 sections Section 1: Introduction Section 2: Household background Section 3: Travel patterns and interactions Section 4: Employment Section 5: Food security Section 6: Income Loss Section 7: Transfers Section 8: Subjective welfare (50% of sample) Section 9: Health Section 10: COVID Knowledge Section 11: Household and Social Relations (50% of sample) Section 12: Conclusion

摘要 --------------------------- 本电话访谈的参与者通过混合方法确定。针对基于卡库马、卡洛贝伊、达达布和城市地区的试点,采用了分层随机抽样。对于18岁及以上的香巴人群,则使用普查方法;该群体构成了香巴人群登记人口的48.6%。调查在两个层面进行;家庭层面和个人层面。 地理覆盖范围 --------------------------- 全国范围 分析单元 --------------------------- 个人与家庭 总体 --------------------------- 所有联合国难民署关注的个人 数据类型 --------------------------- 样本调查数据 [ssd] 抽样程序 --------------------------- 从联合国难民署数据库中随机选取了每个四个营地——卡库马、卡洛贝伊、达达布和城市地区的18岁及以上且拥有活跃电话号码的个人。对于香巴人群,我们从社会经济评估调查中抽取样本。由于香巴人群样本量较小(782人),我们使用了样本中的所有个体。从每个站点选出的个人均收到一条短信,通知他们已被随机选中参与一项关于COVID-19社会经济影响的调查。 数据收集方式 --------------------------- 计算机辅助电话访谈 [cati] 研究工具 --------------------------- 问卷包括12个部分 第1部分:简介 第2部分:家庭背景 第3部分:出行模式和互动 第4部分:就业 第5部分:粮食安全 第6部分:收入损失 第7部分:转移支付 第8部分:主观福利(样本的50%) 第9部分:健康 第10部分:COVID知识 第11部分:家庭和社会关系(样本的50%) 第12部分:结论
提供机构:
microdata.worldbank.org
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