This study analysed the spatial distribution of urban poverty in Uyo, Akwa Ibom. This research had three objectives and two hypotheses. This study used stratified and simple random sampling techniques to gather data through questionnaires and observations. Descriptive and inferential statistical analyses were performed on the collected data. The study found that poverty determinants in Uyo included education, occupation, source of income, housing conditions, household expenditure, medical facilities, sources of water, and power supply. The researchers tested two hypotheses using ANOVA, which found a significant difference in the spatial distribution of poor urban residents in Uyo, but no significant difference in the causes and consequences of poor residential districts. This study estimated Uyo's poverty line as ₦11,768.3 using 2/3 of the mean household expenditure of residents. The study also used the spatial interpolation technique in ArcGIS 10.3 software to design a map of Uyo showing the spatial distribution pattern of urban poverty, revealing that Oku and Ikono had high levels of poverty, while Offot and Etoi had the least. The study suggested the need for infrastructural development and enhancement of human capital through training in life skills and vocations to stimulate the innate entrepreneurial potential of people, expand their income-generating capacities, and become more productive.