A dataset provided by the New York City Housing Authority consisting of ~20,000 condominium addresses with sale dates and dollar amounts was geocoded. Dot density maps were made displaying the locations, sale amounts, and year sold for the properties (First map below).
Geographic proximity from each condo to schools, hospitals, water, parks, Central Park, Wall St., Park Ave., and subway stations were calculated. Multi-variate regression analysis was performed using the proximity values to try and identify correlations between the various factors and real estate values. A strong correlation was found between high sale prices and condos located within 2,500 - 4,500 meters of Wall St. This area is labeled Wallprox on the map below (2nd map below).
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Files:
wallprox_area.png
manhattan_condo_transactions_1986_05.png
