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Oakland, New Jersey short-term rental listings & supply

Updated By The AirDNA Data Team

Oakland, New Jersey has 10 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
10
Across all channels
Most popular size
2BR
50% 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 →

Oakland, New Jersey short-term rental listings

Oakland has 10 active short-term rental listings as of October 2025, tracked across Airbnb, Vrbo, and Booking.com. Here's how the market breaks down:

  • By property type: 80% entire homes, 20% private rooms.
  • By size: 50% 2-bedroom, 30% 1-bedroom, 10% 3-bedroom, and 10% 5+ bedroom.
  • By channel: 90% Airbnb-only, 10% cross-listed.
  • By availability: 40% seasonal (1–90 nights), 40% most of year (181–270), 10% part-time (91–180 nights), and 10% full-time (271–365).
  • By minimum stay: 50% 30+ nights, 30% 7–29 nights and 20% 2 nights.
  • By cancellation policy: 60% strict, 40% moderate.
70
Rental demand score
Full Oakland market overview How Market Score is calculated
Analyst's take

Oakland's Rental Demand score: 70 out of 100.

Oakland's Rental Demand subscore is 70 out of 100, one of five inputs to its overall Market Score of 23.

Rental Demand combines two inputs: annual occupancy (76% in Oakland) and year-over-year listing growth.

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:

  1. 1Narrow to a neighborhoodNeighborhood metrics give a far more accurate picture of the exact area you're considering.
  2. 2Apply filtersFilter by bedrooms, price tier, amenities, and reviews to reach properties that actually match yours.
  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 Oakland's active short-term rental supply has trended over the past year.

Sep '25Oct '25Nov '25
See Oakland's month-by-month supply trend in the AirDNA app.

Listing mix

Four ways to slice Oakland's 10 listings

Property type

Entire home leads at 80%

  • Entire home80%
  • Private room20%

Bedrooms

2BR leads at 50%

  • 1BR30%
  • 2BR50%
  • 3BR10%
  • 5BR+10%

Channel

Airbnb only leads at 90%

  • Airbnb only90%
  • Multi-platform10%

Availability

Seasonal (1–90 nights) leads at 40%

  • Seasonal (1–90 nights)40%
  • Part-time (91–180 nights)10%
  • Most of year (181–270)40%
  • Full-time (271–365)10%

Listings by minimum stay

Share of Oakland active supply by host-set minimum stay

2 nights
20%
7–29 nights
30%
30+ nights
50%

Listings by cancellation policy

Share of Oakland active supply by host cancellation policy

Moderate
40%
Strict
60%

This is the tip of the iceberg

Go deeper on Oakland supply in the app.

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Explore more Oakland data

Keep digging into Oakland

Oakland market overview

The full Oakland market: 10 listings, $17.3K average revenue, 76% occupancy, $163 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 Oakland.

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Explore more markets

Other short-term rental markets in New Jersey

Frequently asked

Common questions about Oakland

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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