In this study, we calculated the risk of flooding rains in Seoul districts through a regression analysis. The Results of regression analysis present it to us that 'weighted hourly rainfall', 'capacity of rainwater recycling facility', 'vulnerable housing'(single multiplex housing density, basement semi-basement housing rate), 'topography drainage'(lowlands rate, average slope, drainage pump capacity), imperviousness ratio are powerful factors to damage by order. Non-standardized regression coefficients multiplied by time duration to hourly rainfall classified section created a derived variable indicating the risk of flooding. Capacity of rainwater recycling facility were identified to affect a significant negative flood damage. The Model of this study could be used as basis to establish adapt disaster prevention against heavy rainfall damage.