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Bridgeton, New Jersey short-term rental listings & supply

Updated By The AirDNA Data Team

Bridgeton, New Jersey has 21 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
21
-22.2% YoY
Most popular size
1BR
38.1% 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 →

Bridgeton, New Jersey short-term rental listings

Bridgeton has 21 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is down 22.2% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 81% entire homes, 19% private rooms.
  • By size: 38.1% 1-bedroom, 38.1% 4-bedroom, 14.3% 3-bedroom, and 9.5% 5+ bedroom.
  • By channel: 57.1% Airbnb-only, 38.1% cross-listed and 4.8% Vrbo-only.
  • By availability: 61.9% full-time (271–365), 14.3% seasonal (1–90 nights), 14.3% most of year (181–270), and 9.5% part-time (91–180 nights).
  • By minimum stay: 52.4% 2 nights, 33.3% 30+ nights, 9.5% 3 nights, and 4.8% 7–29 nights.
  • By cancellation policy: 72.7% flexible, 27.3% moderate.
75
Rental demand score
Full Bridgeton market overview How Market Score is calculated
Analyst's take

Bridgeton's Rental Demand score: 75 out of 100.

Bridgeton's Rental Demand subscore is 75 out of 100, one of five inputs to its overall Market Score of 68.

Rental Demand combines two inputs: annual occupancy (58% in Bridgeton) and year-over-year listing growth (active supply down 22.2% 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 Bridgeton's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Bridgeton's 21 listings

Property type

Entire home leads at 81%

  • Entire home81%
  • Private room19%

Bedrooms

1BR leads at 38.1%

  • 1BR38.1%
  • 3BR14.3%
  • 4BR38.1%
  • 5BR+9.5%

Channel

Airbnb only leads at 57.1%

  • Airbnb only57.1%
  • Vrbo only4.8%
  • Multi-platform38.1%

Availability

Full-time (271–365) leads at 61.9%

  • Seasonal (1–90 nights)14.3%
  • Part-time (91–180 nights)9.5%
  • Most of year (181–270)14.3%
  • Full-time (271–365)61.9%

Listings by minimum stay

Share of Bridgeton active supply by host-set minimum stay

2 nights
52.4%
3 nights
9.5%
7–29 nights
4.8%
30+ nights
33.3%

Listings by cancellation policy

Share of Bridgeton active supply by host cancellation policy

Flexible
72.7%
Moderate
27.3%

This is the tip of the iceberg

Go deeper on Bridgeton supply in the app.

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Explore more Bridgeton data

Keep digging into Bridgeton

Bridgeton market overview

The full Bridgeton market: 21 listings, $37.1K average revenue, 58% occupancy, $373 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 Bridgeton.

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Explore more markets

Other short-term rental markets in New Jersey

Frequently asked

Common questions about Bridgeton

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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