Spatial Distribution of Poverty indicators in Ekiti State

Abstract

This paper explore the use of Geographical Information System (GIS) analytical capability to analyze the spatial pattern of poverty indices with a view to evolving policies that will focus on ways to identify opportunities for intervention. The analyses shows where government can ascertaining the present state of socio­economic development and identifying poverty level at the community level, government can therefore deplore machinery toward. The data used for this work was extracted from the baseline survey report carried the Ekiti State, Nigeria. Data from the baseline survey was feed directly into ArcGIS software to analyze poverty indices. The resultant information on the socio-economic indicators were shown as maps. The original baseline data had a large dataset, which was reduced to seven basic sub-sectors which is referred here as indicators, which were, educational, health, water and sanitation, transportation, electricity supply, socioeconomic, natural resources and environment, where poverty was considered  as the main sector. The analyses of these indicators/sub-sector was ranked Very Low, Low, Medium, High and Very High on Ekiti State map. This will help government, donor agencies and NGOs know which sector or/and LGAs to be involved in and direct machineries to reduce poverty in such area.