Predicting the Best and Worst STR Markets with Scott Sage

In this episode of the STR Data Lab, hosts Jamie Lane and Scott Sage explore the future of short-term rental markets over the next five years. The discussion kicks off with insights into recent vacation rental demand, notably influenced by population shifts during the COVID-19 pandemic. They delve into their predictive methodology, emphasizing factors like population growth, employment, and feeder cities.

Jamie explains the concept of feeder cities and their significance in anticipating rental demand. They use historical data and projections from sources like the U.S. Census and Oxford Economics. The episode reveals top markets like Corpus Christi and Galveston, and identifies weaker prospects in Wisconsin and California. The hosts also highlight the importance of yield in investment decisions, giving examples such as the North Georgia mountains. The conversation concludes with a teaser on upcoming reports and webinars detailing their economic outlook and short-term rental performance.

Scott and Jamie emphasize the importance of taking a comprehensive view of market conditions and avoiding over-reliance on single factors. They suggest practical applications for existing hosts, including targeted marketing and seasonal planning. Insights into migration trends and their long-term impact on the STR market are discussed in detail. There's a focus on how economic conditions in feeder cities like Houston and Dallas influence surrounding vacation areas. The episode ends with encouragement for listeners to consult the detailed report for further information.

You don’t want to miss this episode!

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https://www.airdna.co/blog/best-vacation-rental-markets-in-the-next-5-years\

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Connect with Jamie on LinkedIn and Twitter:

LinkedIn: https://www.linkedin.com/in/jamiehlane/

Twitter: https://twitter.com/Jamie_Lane

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