Cargando…

Datasets of socio-economic, demographic, entrepreneurship, and financial inclusion indicators of selected sites in Ethiopia: Addis Ababa, Dire Dawa, Shirka zone

Ethiopia is known for having a large portion of its population living under national and international poverty lines. Exclusively the poverty is aggravated being accompanied by a high youth unemployment rate and severe inequality. Thus, these datasets are collected to develop the poverty and unemplo...

Descripción completa

Detalles Bibliográficos
Autores principales: Mehari, Abel Tewolde, Alemu, Degife Ketema, Yilma, Senayit Seyoum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7770531/
https://www.ncbi.nlm.nih.gov/pubmed/33385030
http://dx.doi.org/10.1016/j.dib.2020.106665
Descripción
Sumario:Ethiopia is known for having a large portion of its population living under national and international poverty lines. Exclusively the poverty is aggravated being accompanied by a high youth unemployment rate and severe inequality. Thus, these datasets are collected to develop the poverty and unemployment profile of the country with an emphasis on eastern and central regions. Principally the data targeted Addis Ababa: the capital city; Dire Dawa city council- eastern province of Ethiopia and Arsi Zone. The datasets contain demographic variables, household details, education, health & nutrition, employment, non-wage income, death profiles, housing detail, asset ownership, household infrastructure, water & sanitation, household monthly expenditure, saving trends, and social engagement. Besides, the dataset encompasses youth-specific core variables such as finance, unemployment, and entrepreneurship variables. In collecting these datasets, enumerators who have experience in digital data collection were involved. Those enumerators equipped with the digital device were provided two days of digital data collection training, involved in a pilot survey, and finally engaged in the actual data collection activity.