Pesticides play a pivotal role in agriculture by combating various pests and increasing crop yields. However, extensive use of pesticides can result in unintended consequences, including potential impact on soil microbes. This study was aimed at investigating the influence of pesticides contamination on microbial population of farmlands in Otuoke, Nigeria. Soil samples were collected from four pesticide treated farmlands designated Bakery 1, Bakery 2, Dorcas, and PGS. A farmland without pesticide treatment served as Control. Microbial population, physiochemical parameters and pesticide residue of samples were investigated using standard techniques. Results revealed significant differences in microbial populations between pesticide-contaminated soils and control. The highest bacterium isolated and occurrence (%) in each location was; Streptomyces coelicolor 42(45.7%), Proteus vulgaris 179(59.9%), Streptomyces scabies 41(38.7%), Streptococcus pyrogenes 101(44.7%), and Pseudomonas aeruginosa 69(40.6%) for Bakery 1, Bakery 2, Dorcas, PGS, and control respectively. Highest fungus isolated and occurrence (%) was; Rhodotorula glutini 51(82.3%), 31(77.5%), and 43(81.1%) for Bakery 1, Bakery 2, and Dorcas respectively; and Candida tropicalis 25(80.6%) and Lichtheimia hyalospora 4(28.6%) for PGS and Control respectively. Pesticide analysis showed that Paraquat dichloride, Endosulfan, Diazinon, and N-(phosphonomethyl) glycine were present in the soil samples with about 75% residue. Site-specific pesticide concentrations varied in soil samples, with Bakery 1 having the highest concentrations Endosulfan and Diazinon, bakery 2 had highest concentration of N-(phosphonomethyl) glycine, and PGS had the highest concentration of Paraquat. Physiochemical characteristics showed that temperature ranged from 28.70 – 26.70°C, electrical conductivity 508 – 365µS/cm, moisture content 7.50 - 3.10%, pH 6.90 -3.90, and organic matter 4.70 – 3.00%. Decreasing order of cation exchange capacity (CEC) in farmlands was PGS > Bakery 2 > Bakery 1 > Dorcas > Control. There was no significant difference (p > 0.05) in each parameter between locations