Predicting Future Population Growth in Olorunti: A Mathematical Modeling Approach

Abstract

Population growth is a fundamental demographic process shaping the socio-economic and environmental landscape of a region. This research used two mathematical frameworks—the exponential and logistic growth models—to investigate population change in Olorunti Town. We estimated Olorunti’s population growth rate using secondary data for 2000–2020 provided by the National Institute of Statistics of Cameroon. These models were subsequently applied to forecast the population through 2030. Numerical results indicate that the exponential model predicts a population of approximately 24,253 in 2030, while the logistic model predicts approximately 27,273 in 2030 (assuming a carrying capacity of 30,000).  A comparison of outcomes indicates that the logistic model yields more reliable population estimates for Olorunti Town than the exponential model.