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Princeton, Illinois short-term rental listings & supply

Updated By The AirDNA Data Team

Princeton, Illinois has 87 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
87
+27.9% YoY
Most popular size
1BR
60.9% 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 →

Princeton, Illinois short-term rental listings

Princeton has 87 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 27.9% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 57.5% entire homes, 26.4% private rooms and 16.1% shared rooms.
  • By size: 60.9% 1-bedroom, 26.4% 2-bedroom, 5.7% 3-bedroom, 3.4% 4-bedroom, and 3.4% 5+ bedroom.
  • By channel: 82.8% Airbnb-only, 11.5% cross-listed and 5.7% Vrbo-only.
  • By availability: 56.3% full-time (271–365), 20.7% part-time (91–180 nights), 13.8% seasonal (1–90 nights), and 9.2% most of year (181–270).
  • By minimum stay: 86.2% 30+ nights, 11.5% 2 nights and 2.3% 7–29 nights.
  • By cancellation policy: 55.2% moderate, 32.8% flexible and 11.9% strict.
69
Rental demand score
Full Princeton market overview How Market Score is calculated
Analyst's take

Princeton's Rental Demand score: 69 out of 100.

Princeton's Rental Demand subscore is 69 out of 100, one of five inputs to its overall Market Score of 50.

Rental Demand combines two inputs: annual occupancy (33% in Princeton) and year-over-year listing growth (active supply up 27.9% 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 →
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Active listings over timeIllustrative preview

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

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

Listing mix

Four ways to slice Princeton's 87 listings

Property type

Entire home leads at 57.5%

  • Entire home57.5%
  • Private room26.4%
  • Shared room16.1%

Bedrooms

1BR leads at 60.9%

  • 1BR60.9%
  • 2BR26.4%
  • 3BR5.7%
  • 4BR3.4%
  • 5BR+3.4%

Channel

Airbnb only leads at 82.8%

  • Airbnb only82.8%
  • Vrbo only5.7%
  • Multi-platform11.5%

Availability

Full-time (271–365) leads at 56.3%

  • Seasonal (1–90 nights)13.8%
  • Part-time (91–180 nights)20.7%
  • Most of year (181–270)9.2%
  • Full-time (271–365)56.3%

Listings by minimum stay

Share of Princeton active supply by host-set minimum stay

2 nights
11.5%
7–29 nights
2.3%
30+ nights
86.2%

Listings by cancellation policy

Share of Princeton active supply by host cancellation policy

Flexible
32.8%
Moderate
55.2%
Strict
11.9%

This is the tip of the iceberg

Go deeper on Princeton supply in the app.

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Explore more Princeton data

Keep digging into Princeton

Princeton market overview

The full Princeton market: 87 listings, $11.2K average revenue, 33% occupancy, $167 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 Princeton.

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Explore more markets

Other short-term rental markets in Illinois

Frequently asked

Common questions about Princeton

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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