There are patterns buried within the mass of data in the various editions of population census figures in this country. These are patterns that will be impossible for humans working with bare eyes and hands, to uncover without computer system to give geo-spatial distribution of population in that area. This paper is an effort towards harnessing the power of data-mining technique to develop mining model applicable to the analysis of census data that could uncover some hidden patterns to get

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... geo-spatial distribution. This could help better-informed business decisions and provide government with the intelligence for strategic planning, tactical decision-making and better policy formulation. Decision tree learning is a method for approximating discrete-valued target function, in which the leaned function is represented by a decision tree. Decision tree algorithm was used to predict some basic attributes of population in the census database. Structured System Analysis and Design Methodology were used.