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PressWhat Three Wildfires Did to Short-Term Rental Demand
Published: September 1, 2026
Camilo Schmid Rivas
ARTICLE SUMMARY
Hurricanes displace short-term rental demand. Wildfires delete it. AirDNA analyzed three fires in the summer of 2026: the Gironde in France, Okanagan Lake in British Columbia and the Sierra de Gredos west of Madrid, using daily data and matched control markets. In every case the demand came off the calendar rather than moving to a neighboring market, and in France the fire pulled the nearest city down with it. Camilo Schmid Rivas sets out the method, the market-by-market damage, and why the hurricane playbook does not transfer.
Camilo Schmid Rivas
AirDNA Data Analyst
Camilo Schmid Rivas is a Data Scientist at AirDNA who brings a uniquely well-rounded perspective to short-term rental analytics. With a background that spans investment, real estate, and business analysis—including roles at Stayery and Sollers Consulting—Camilo has worn many analyst hats, each sharpening his ability to turn complex data into clear, actionable insights. A graduate of École hôtelière de Lausanne, he now channels his multidisciplinary expertise into uncovering trends that drive smarter STR decisions. In his free time, he enjoys playing tennis or scuba diving in or around Barcelona.