Daniel Flores, Default short-term rental listings & supply

Name: Daniel Flores, Default short-term rental supply data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated August 5, 2026By The AirDNA Data Team

Daniel Flores, Default has 81 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings

+3.8% YoY

Daniel Flores, Default short-term rental listings

Daniel Flores has 81 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 3.8% from July 2025 to July 2026. Here's how the market breaks down:

By property type: 82.7% entire homes, 17.3% private rooms.
By size: 37% 1-bedroom, 35.8% 2-bedroom, 18.5% 3-bedroom, 6.2% 5+ bedroom, and 2.5% 4-bedroom.
By channel: 97.5% Airbnb-only, 2.5% cross-listed.
By availability: 76.5% full-time (271–365), 8.6% part-time (91–180 nights), 7.4% seasonal (1–90 nights), and 7.4% most of year (181–270).
By minimum stay: 82.7% 30+ nights, 14.8% 2 nights, 1.2% 4–6 nights, and 1.2% 7–29 nights.
By cancellation policy: 79.4% flexible, 17.6% moderate and 2.9% strict.

Rental demand score

Rental demand53
Seasonality82
Revenue growth91
Regulation66

Full Daniel Flores market overview How Market Score is calculated

Analyst's take

Daniel Flores's Rental Demand score: 53 out of 100.

Daniel Flores's Rental Demand subscore is 53 out of 100, one of five inputs to its overall Market Score of 93.

Rental Demand combines two inputs: annual occupancy (33% in Daniel Flores) and year-over-year listing growth (active supply up 3.8% from July 2025 to July 2026).

It is benchmarked against other short-term rental markets in the same country with at least 15 active listings.

The Market Score is a starting point, not an investment decision.

Market-level averages hide wide variation. Here's how to go deeper in the app:

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Key definitions

How AirDNA defines these metrics

Active listings: Active listings are the short-term rentals on Airbnb, Vrbo, and Booking.com that were available or booked in the trailing 12 months. AirDNA de-duplicates the same home across channels, and the count refreshes monthly.How AirDNA counts active listings →