.

The study was carried out in Akoko South West Local Government (LGA) Area, Ondo State. All eight villages in the LGA were surveyed including Akungba, Ikun, Oke-Oka, Eti-Oro, Iwaro, Ayegunle, Oba Akoko and Supare. Mosquito larvae were collected from different breeding sites in the surveyed areas and reared to adulthood in the laboratory. 1149 (one thousand one hundred and forty-nine) emerged Imagoes were identified using standard keys and these include Culex (537; 46.73%), Aedes (443; 38.55%), Anopheles(115; 10.01%), Coquillettidia (43; 3.74%), Toxorhynchite (5; 0.44%) and Mansonia (6; 0.52%). Remote sensed image and environmental data, land surface temperature (LST), normalized different vegetation index (NDVI) and altitude information were also derived. A malaria risk map was developed for the LGA using fuzzy membership (Logic). Results showed that mosquitoes bred in relation to altitude and topography with Anopheles species at the highest altitude of about 3882ft to 5833ft in Supare and Culex species at the lowest altitude of about 1874ft to 2638ft. Akungba, Araromi, and Eti-Oro were mapped as low risk areas, while Supare, Oke-Oka and Oba were mapped as areas of highest risk. The result also revealed Ikun as the area with the highest number of mosquitoes and Iwaro with the lowest. These developed maps can be used in vector control strategies. Keywords: Malaria Vectors, Risk Areas, GIS Maps, Akoko South West LGA, Ondo state.