As a first step in the construction of a geographically based student data system for San Jose Community College District, data were gathered concerning student residence locations, and related socio-economic census factors. The intent of the study was to provide decision makers with information that they would find useful in recruitment, curriculum and community service development, and evaluation of programs. Data are organized into two graphs and 26 tables, and break down information on enrollment classification, age, residence, demographic characteristics, income, and level of educational attainment by census tracts. The study determined that census tracts having the highest proportion of students generally had a white population, medium to high income, high education level, and a younger growing population. The census tracts showing a low percentage of student enrollment had a high Spanish speaking population, low income, low educational level and an older population. The methodology described here is in sufficient detail to allow institutions to conduct similar studies, using this document as a model. Five recommendations dealing with recruitment strategy, curriculum development, facility planning, replication, and administrative policy are made based on the findings of this study. (Author/NHM)