Abstract
This article discusses how to assess disaster risks by using grid square statistics regarding
socioeconomic data and natural hazard data. The risk is defined as multiplication among socioeco-
nomic values, hazard, and vulnerability and depends on regions. This article shows how to create
grid square data for anticipated inundation water height from polygon data provided from Ministry of
Land, Infrastructure, Transport, and Tourism. Comparative analysis of seismic risk, tsunami risk, and
inundation risk is considered. It is concluded that integrated analysis of natural hazard and socioeco-
nomic values based on grid square data may enable us to improve preparedness for natural disasters
in our usual life.
