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O Fallon, Illinois short-term rental listings & supply

Updated By The AirDNA Data Team

O Fallon, Illinois has 37 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
37
+0.0% YoY
Most popular size
1BR
45.9% of all active listings
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 →

O Fallon, Illinois short-term rental listings

O Fallon has 37 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 0.0% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 75.7% entire homes, 24.3% private rooms.
  • By size: 45.9% 1-bedroom, 24.3% 3-bedroom, 21.6% 2-bedroom, and 8.1% 4-bedroom.
  • By channel: 81.1% Airbnb-only, 18.9% cross-listed.
  • By availability: 59.5% full-time (271–365), 21.6% most of year (181–270), 10.8% part-time (91–180 nights), and 8.1% seasonal (1–90 nights).
  • By minimum stay: 54.1% 30+ nights, 32.4% 7–29 nights, 5.4% 2 nights, 5.4% 3 nights, and 2.7% 4–6 nights.
  • By cancellation policy: 64.7% strict, 35.3% moderate.
90
Rental demand score
Full O Fallon market overview How Market Score is calculated
Analyst's take

O Fallon's Rental Demand score: 90 out of 100.

O Fallon's Rental Demand subscore is 90 out of 100, one of five inputs to its overall Market Score of 97.

Rental Demand combines two inputs: annual occupancy (77% in O Fallon) and year-over-year listing growth (active supply up 0.0% 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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  3. 3Estimate one addressProject what one specific property can earn with a custom comp set built from its exact specs.
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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 →
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Active listings over timeIllustrative preview

How O Fallon's active short-term rental supply has trended over the past year.

Oct '25Dec '25Feb '26Apr '26Jun '26Aug '26
See O Fallon's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice O Fallon's 37 listings

Property type

Entire home leads at 75.7%

  • Entire home75.7%
  • Private room24.3%

Bedrooms

1BR leads at 45.9%

  • 1BR45.9%
  • 2BR21.6%
  • 3BR24.3%
  • 4BR8.1%

Channel

Airbnb only leads at 81.1%

  • Airbnb only81.1%
  • Multi-platform18.9%

Availability

Full-time (271–365) leads at 59.5%

  • Seasonal (1–90 nights)8.1%
  • Part-time (91–180 nights)10.8%
  • Most of year (181–270)21.6%
  • Full-time (271–365)59.5%

Listings by minimum stay

Share of O Fallon active supply by host-set minimum stay

2 nights
5.4%
3 nights
5.4%
4–6 nights
2.7%
7–29 nights
32.4%
30+ nights
54.1%

Listings by cancellation policy

Share of O Fallon active supply by host cancellation policy

Moderate
35.3%
Strict
64.7%

This is the tip of the iceberg

Go deeper on O Fallon supply in the app.

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Explore more O Fallon data

Keep digging into O Fallon

O Fallon market overview

The full O Fallon market: 37 listings, $15.9K average revenue, 77% occupancy, $83 ADR. Topline metrics and the AirDNA Market Score.

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Revenue

Annual earnings, revenue by property type, and daily rates by segment.

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Seasonality

Occupancy, RevPAR, peak and trough months, seasonality score.

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Property Managers

The largest property managers operating in O Fallon.

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Explore more markets

Other short-term rental markets in Illinois

Frequently asked

Common questions about O Fallon

Get more in the app

There's a lot more inside the AirDNA app.

  • Custom comp sets
  • Neighborhood data
  • Deep filters
  • Heat maps
  • For Sale by yield
  • Export the data
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