The study investigates spatial distribution of waste disposal points in Calabar metropolis, aiming to enhance the city's clean and green status. Multi-stage random sampling technique was used to delineate the metropolis into zones, thereafter stratified sampling technique was adopted to select major and minor streets for data collection. Handheld Global Positioning System was used to collect locational data of waste bins for mapping. From the result of the Average Nearest Neighbour statistical analysis, based on the calculated p-value (0.264053), ANN ratio and z-score, it is evident to accept the null hypothesis which states that the distribution of waste disposal points in Calabar Metropolis is not significantly different from a normal distribution. This therefore affirmed that the selected waste disposal points in Calabar are distributed randomly. The output from the analysis (ANN), further buttressed that the challenges associated with waste collection mostly due to location of waste disposal points revealed that the waste collection bins were randomly distributed but not commensurate to the quantity generated within the study area. Based on the findings of the study, it was recommended among others that the State Government should provide more waste bins in strategic locations and ensure prompt evacuation of waste.