International Journal of Statistics and Applied Mathematics

International Journal of Statistics and Applied Mathematics

2019, Vol. 4, Issue 3, Part A

Statistical analysis of socio-economic determinants of internal migration in Somalia using logistic regression approach


Author(s): KK Saxena and Mohamed Abdinur Mohamed

Abstract: Internal migration refers to the situation in which people prefer to live in another city of the country because of the social, cultural and economic problems in the city they live. Internal migration leads to imbalances in population distribution, irregular urbanization, unemployment in urban area, inadequate housing, low paid jobs, and limited access to social services such as health and education facilities. Owing to this situation, this article analyzed the socio-economic factors affecting internal migration in Somalia using logistic regression.
This study used secondary data from a cross-sectional population estimation survey conducted in 2014 on internal migrant households who migrated within Somalia in the last ten years at the time of the survey. The study found that rural resident households were more likely to migrate than urban resident households. Household heads, who have no education background, were significantly more likely to migrate than educated headed households, and unemployed headed households were more likely to migrate than employed. Sex and land ownership were found not significantly associated with internal migration. Therefore, developed based interventions are important to improve the socioeconomic status of the household and are needed to reduce the incidence or prevalence of internal migration.


Pages: 01-10 | Views: 202 | Downloads: 70

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How to cite this article:
KK Saxena and Mohamed Abdinur Mohamed. Statistical analysis of socio-economic determinants of internal migration in Somalia using logistic regression approach. 2019; 4(3): 01-10.
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