
Sign up to save your podcasts
Or


In this episode of the STR Data Lab podcast, host Jamie Lane welcomes AirDNA’s Economist, Bram Gallagher, to explore February's short-term rental performance dynamics. After a January dip due to a northern cold snap, February showcased a robust 15.6% surge in demand from January's 1.2%, highlighting a strong desire to travel despite the off-season.
The discussion highlights how weather conditions influenced rental performance, particularly the challenges faced in key skiing destinations like California and Colorado due to low snowpack in January. Nonetheless, February marked a turnaround, especially in ski markets such as Big Bear, California, which experienced a 16% year-over-year increase in demand.
Jamie and Bram further examine broader economic indicators like unemployment rates and consumer price indices, presenting a cautiously optimistic economic outlook amidst some conflicting signals. They also anticipate the Federal Reserve's forthcoming announcement, expecting a hold on rates with potential future cuts.
Wrapping up, the conversation shifts to the anticipated solar eclipse and its expected boost to travel demand, with notable booking surges in cities along the eclipse's path. This episode provides key insights into short-term rental performance, overarching economic trends, and upcoming events shaping the travel industry.
~~~~
Signup for AirDNA for FREE👇
https://app.airdna.co/data
~~~~
Connect with Jamie on LinkedIn and Twitter:
LinkedIn: https://www.linkedin.com/in/jamiehlane/
Twitter: https://twitter.com/Jamie_Lane
~~~~
Connect with AirDNA on LinkedIn, Twitter, TikTok, and Instagram:
LinkedIn: https://www.linkedin.com/company/airdna/
Twitter: https://twitter.com/airdna
TikTok: https://www.tiktok.com/@airdna.co
Instagram: https://instagram.com/airdna.co
~~~~
Find AirDNA at these upcoming events!
https://www.airdna.co/events-airdna
Episode 74
By Jamie Lane4.8
2525 ratings
In this episode of the STR Data Lab podcast, host Jamie Lane welcomes AirDNA’s Economist, Bram Gallagher, to explore February's short-term rental performance dynamics. After a January dip due to a northern cold snap, February showcased a robust 15.6% surge in demand from January's 1.2%, highlighting a strong desire to travel despite the off-season.
The discussion highlights how weather conditions influenced rental performance, particularly the challenges faced in key skiing destinations like California and Colorado due to low snowpack in January. Nonetheless, February marked a turnaround, especially in ski markets such as Big Bear, California, which experienced a 16% year-over-year increase in demand.
Jamie and Bram further examine broader economic indicators like unemployment rates and consumer price indices, presenting a cautiously optimistic economic outlook amidst some conflicting signals. They also anticipate the Federal Reserve's forthcoming announcement, expecting a hold on rates with potential future cuts.
Wrapping up, the conversation shifts to the anticipated solar eclipse and its expected boost to travel demand, with notable booking surges in cities along the eclipse's path. This episode provides key insights into short-term rental performance, overarching economic trends, and upcoming events shaping the travel industry.
~~~~
Signup for AirDNA for FREE👇
https://app.airdna.co/data
~~~~
Connect with Jamie on LinkedIn and Twitter:
LinkedIn: https://www.linkedin.com/in/jamiehlane/
Twitter: https://twitter.com/Jamie_Lane
~~~~
Connect with AirDNA on LinkedIn, Twitter, TikTok, and Instagram:
LinkedIn: https://www.linkedin.com/company/airdna/
Twitter: https://twitter.com/airdna
TikTok: https://www.tiktok.com/@airdna.co
Instagram: https://instagram.com/airdna.co
~~~~
Find AirDNA at these upcoming events!
https://www.airdna.co/events-airdna
Episode 74

16,712 Listeners

407 Listeners

422 Listeners

71 Listeners

555 Listeners

622 Listeners

590 Listeners

1,821 Listeners

12 Listeners

318 Listeners

450 Listeners

11 Listeners

900 Listeners

97 Listeners

53 Listeners

28 Listeners

36 Listeners

1,014 Listeners

845 Listeners

43 Listeners

10 Listeners

9 Listeners

707 Listeners

8 Listeners

5 Listeners

3 Listeners

16 Listeners

7 Listeners

79 Listeners