We hate the ZIP codes. We truly hate all administrative boundaries not just ZIP codes when it comes to socio-economics and catastrophe modeling.

Before the wildfire season of 2019, we’ve released our very first wildfire risk map for California. All of our tests based on decades of historical wildfire showed that the “accuracy*”...

Using machine-learning to underwrite property insurance has been UrbanStat’s main focus for the last 3 years. It started as a simple Minimum Viable Product (MVP), we had our highs and...

Over 30 wildfires sparked in California within just a few days, most of them were contained quickly though two have grown to large wildfires. “Since the beginning of the year,...

Chicago, IL – 09/03/2020 | UrbanStat, a leading provider of underwriting solutions for P&C insurance companies, has expanded its data coverage to over 35 countries globally covering most countries in...

Here at UrbanStat, we’ve been researching and modeling wildfires for about 2 years now. When we first started thinking about this phenomenon, we were shocked to see that most models...