Site Selection of Electoral Polling Unit Using Geospatial Technology for Zaria, Kaduna State Nigeria Kaka Zenabu ATTA, Taiye O. ADEWUYI, Ahmed A. MUSA, Olalekan A. ISIOYE, Ebenezer A. AKOMOLAFE, Abdulazeez ONUTO, Lukman Olawunmi GIWA. ABSTRACT This study gives an insight to the site selection of electoral polling unit using geospatial technology for Zaria, Kaduna State Nigeria and aimed at creating an appropriate model for citing polling units for other locations in the country. For the purpose of this work, a base map, SRTM data population data and Landsat 8 satellite imagery were used to generate the land-use map of Zaria and to as well show the nature of the topography of the study area using ArcGIS 10.1, and IDRISI software. A seven parameters criterion was extracted from INEC objectives and summarized as follows: proximity to voters, accessibility, land use (public buildings, and open spaces), Clinic proximity, slope and elevation, GMS masts and water bodies. The generated thematic maps of these criteria were standardized using fuzzy logic approach. A weight for each criterion was generated by comparing them with each other according to their importance. The weights and criteria was used to prepare the final site suitability map which was analysed for relative suitability and finally reclassified into three categories of high, medium and low suitability. Comparison of existing and proposed polling units’ area was made with the aim of determining areas of similarity and areas of disparity. A final suitability map was created for locations of proposed polling units. The result obtained from the map and after validation shows that the suitability map of Zaria produced has 0.09 consistency ratio and average of 36% of area not suitable, 56% of area fairly suitable and 8% suitable. Thus, polling units that fell within the not suitable region can be redistributed or removed from the lists, also electoral polling units should not be cited in area that fall within not suitable area/constraints (rock/highland and water), while areas with high suitability are expected to have more polling units. Keywords: Electoral polling units, Fuzzy logic, Geospatial technology, GIS and AHP, and Suitability Mapping.