Open Airbnb datasets for Munich, Germany

Munich, Germany

DoorstepAnalytics

Munich, Germany

Bedrooms Neighbourhood Review score: 2.0 - 5.0

Listings

Listings Neighbourhoods Pricing Occupancy & Income Hosts Guest Feedback Data Access

There are 2,686 entire homes listed across Airbnb in Munich and the surrounding area, with 1,083 private bedrooms and 135 serviced apartments. The average price for a two bedroom apartment in September 2026 is €351 per night.

The average price per night for an entire home in Munich is €220 for 1 bedroom, €351 for 2 bedrooms, €505 for 3 bedrooms, €530 for 4 bedrooms, €695 for 5 bedrooms. By city zone, entire homes average Center (€335, 699 listings), North (€259, 592 listings), East (€265, 495 listings), West (€279, 451 listings), South (€243, 449 listings). All prices are in EUR.

Listings and Average Price per Bedrooms

Amenities

Bed Types

Bed Types by Bedrooms

Guest Capacity

Cancellation Policy

Price per bedroom Low

High

The neighbourhood of Ludwigsvorstadt has the most listings, with 325 on Airbnb and an average nightly price of €322 (€215 per bedroom). The second most populated neighbourhood is Schwabing with 281 listings, followed by Maxvorstadt (267), Neuhausen-Nymphenburg (154) and Trudering-Riem (146). All prices are in EUR.

Distances to Points of Interest

Neighbourhood Details

Average Price per Bedrooms

Average Price per Max Guests

Average Price by Neighbourhood

for the 16 most expensive neighbourhoods

Average Price per Bedroom by Neighbourhood

for the 16 most expensive neighbourhoods per bedroom

Average Price by Metro Stop

for the 16 most expensive metro stops

Average Price per Bedroom by Review Score

Occupancy and income data available early 2027

Hosts with Most Listings

Business Hosts

Review Rating Distribution

Number of Reviews per Listing

Time Since Most Recent Review

Review Length

Average Location Score by Neighbourhood

for the 16 most common neighbourhoods

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Daily availability and booking calendar
Weekend, weekly and monthly pricing

Host profiles and business credentials
Guest reviews and rating breakdown
Neighbourhood and location breakdowns

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