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Embu Das Artes, Sao Paulo short-term rental listings & supply

Updated By The AirDNA Data Team

Embu Das Artes, Sao Paulo has 109 active short-term rental listings, tracked across Airbnb, Vrbo, and Booking.com.

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Total active listings
109
+19.8% YoY
Most popular size
1BR
66.1% 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 →

Embu Das Artes, Sao Paulo short-term rental listings

Embu Das Artes has 109 active short-term rental listings as of July 2026, tracked across Airbnb, Vrbo, and Booking.com. Active supply is up 19.8% from July 2025 to July 2026. Here's how the market breaks down:

  • By property type: 62.4% entire homes, 37.6% private rooms.
  • By size: 66.1% 1-bedroom, 11.9% 2-bedroom, 11% 3-bedroom, 6.4% 4-bedroom, and 4.6% 5+ bedroom.
  • By channel: 95.4% Airbnb-only, 4.6% cross-listed.
  • By availability: 56% full-time (271–365), 21.1% part-time (91–180 nights), 13.8% most of year (181–270), and 9.2% seasonal (1–90 nights).
  • By minimum stay: 70.6% 30+ nights, 22.9% 2 nights, 2.8% 4–6 nights, 1.8% 3 nights, 0.9% 1 night, and 0.9% 7–29 nights.
  • By cancellation policy: 71.4% flexible, 28.6% moderate.
62
Rental demand score
Full Embu Das Artes market overview How Market Score is calculated
Analyst's take

Embu Das Artes's Rental Demand score: 62 out of 100.

Embu Das Artes's Rental Demand subscore is 62 out of 100, one of five inputs to its overall Market Score of 55.

Rental Demand combines two inputs: annual occupancy (42% in Embu Das Artes) and year-over-year listing growth (active supply up 19.8% 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 Embu Das Artes's active short-term rental supply has trended over the past year.

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

Listing mix

Four ways to slice Embu Das Artes's 109 listings

Property type

Entire home leads at 62.4%

  • Entire home62.4%
  • Private room37.6%

Bedrooms

1BR leads at 66.1%

  • 1BR66.1%
  • 2BR11.9%
  • 3BR11%
  • 4BR6.4%
  • 5BR+4.6%

Channel

Airbnb only leads at 95.4%

  • Airbnb only95.4%
  • Multi-platform4.6%

Availability

Full-time (271–365) leads at 56%

  • Seasonal (1–90 nights)9.2%
  • Part-time (91–180 nights)21.1%
  • Most of year (181–270)13.8%
  • Full-time (271–365)56%

Listings by minimum stay

Share of Embu Das Artes active supply by host-set minimum stay

1 night
0.9%
2 nights
22.9%
3 nights
1.8%
4–6 nights
2.8%
7–29 nights
0.9%
30+ nights
70.6%

Listings by cancellation policy

Share of Embu Das Artes active supply by host cancellation policy

Flexible
71.4%
Moderate
28.6%

This is the tip of the iceberg

Go deeper on Embu Das Artes supply in the app.

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Embu Das Artes market overview

The full Embu Das Artes market: 109 listings, $4.7K average revenue, 42% occupancy, $92 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 Embu Das Artes.

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Frequently asked

Common questions about Embu Das Artes

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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