Determinants of households income differentials among people living in Uganda: a case study of Busoga sub-region
Abstract
This study is about analyzing the determinants of household income differentials among people
living in Busoga sub-region in Uganda. This study was a secondary data analysis and it utilized
(UNHS) data 2019/20 obtained from Uganda National Bureau of Statistics (UBOS).
The study shows that, the highest percentage of respondents were females (55.18%) and the rest
were males. Furthermore, it shows that 74.87% of the respondents were rural residents whereas
the rest were urban residents. It further indicates that 83.38% 0f the respondents had never
attained credit or borrowed from different financial institutions. Also, the Highest percentage of
the type of employment is from other categories of employment (58.56%) followed by Enterprise
Employment (22.71%) with the least one being Family workers who had about 2.16% as an
employment type. Furthermore, by business ownership type, most (99.18%) business were
owned by individuals followed by Partnership with a family member (0.63%) with the least
being others (0.01%) type of business ownership.
The study concludes that the factors that significantly determine the household incomes in
Busoga Sub Region are Age of the household head, the size of the household, the place of
residence, Borrowing and the Employment status of household head.
Age of the household head affect the household income level. According to the study, increase in
one’s age increases the household incomes level of the household and the Residence of the
household affect the household incomes in that Household staying in the Urban areas have more
incomes than those staying in Rural areas. Furthermore, it shows that households that borrow
from financial institutions have higher incomes than those that do not borrow money from
financial institutions. Furthermore, the study concludes that household incomes are affected by
the size of the household. Conclusively, Employment Status or the work type engaged in by the
household head affects the household income level in that Household head engaged in casual
jobs and family works have less incomes than those involved in other income generating
activities.