Saint Florent Sur Cher, Centre-Val de Loire short-term rental revenue & daily rates

Name: Saint Florent Sur Cher, Centre-Val de Loire short-term rental revenue data
Creator: AirDNA
License: https://www.airdna.co/terms

Updated September 29, 2026By The AirDNA Data Team

In Saint Florent Sur Cher, Centre-Val de Loire, the average short-term rental earns $13K per year and books at a $64 average daily rate.

Explore Saint Florent Sur Cher in the app

See revenue potential of any address

Annual revenue

$13K

+56.7% YoY

Average daily rate

$64

-19.5% YoY

AirDNA tracks daily performance across 10M+ Airbnb, Vrbo, and Booking.com listings in 120K+ global markets. How we collect this data →10M+ listings across Airbnb, Vrbo & Booking.com in 120K+ markets. How we collect →

Saint Florent Sur Cher, Centre-Val de Loire short-term rental revenue and daily rates

The average active short-term rental in Saint Florent Sur Cher earns $13K a year, booking at an average daily rate of $64 per night. Both figures are trailing-twelve-month averages across every active Saint Florent Sur Cher listing on Airbnb, Vrbo, and Booking.com.

From August 2025 to August 2026, Saint Florent Sur Cher short-term rental revenue is up 56.7% and the average daily rate is down 19.5%.

Revenue growth score

Rental demand86
Seasonality91
Revenue growth57
Regulation59

Full Saint Florent Sur Cher market overview How Market Score is calculated

Analyst's take

Saint Florent Sur Cher's Revenue Growth score: 57 out of 100.

Saint Florent Sur Cher's Revenue Growth subscore is 57 out of 100, one of five inputs to its overall Market Score of 93.

Revenue Growth is the year-over-year change in RevPAR (revenue per available rental), counting only properties booked in both periods so new and delisted listings can't skew it. Saint Florent Sur Cher's RevPAR is down 12.1% from August 2025 to August 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:

1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
3Estimate one addressProject what one specific property can earn with a custom comp set built from its exact specs.

Explore Saint Florent Sur Cher in the app

See revenue potential of any address

Key definitions

How AirDNA defines these metrics

Annual revenue: Annual revenue is the trailing-twelve-month earnings of a typical active listing before host expenses, including booked nightly rates plus cleaning and other guest fees.How AirDNA calculates revenue →
Average daily rate (ADR): ADR is the average nightly price guests actually paid across booked nights in the trailing 12 months. Nights that didn't book are excluded.How AirDNA calculates ADR →