Budapest, Hungary
Total listings: 11,756
Last Updated: 2025-05-19
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How many Airbnbs are there in Budapest?
There are 10,728 entire homes listed across Airbnb in Budapest and the surrounding area, with 751 private bedrooms and 118 serviced apartments. The neighbourhood with the most listings is Erzsébetváros, with 3,586 entire homes costing an average of Ft33,504 per night. The second most populated neighbourhood for whole rental properties is Józsefváros with 1,733 listings, followed by Terézváros with 1,330 entire homes.
Entire Homes
10,728
Private Rooms
751
Serviced Apartments
118
Shared Rooms
28
Basic Pricing
Average Price per night per Bedrooms
for entire homes and serviced apartments
Average Price per night per Max. Guests
for entire homes and serviced apartments
Average Price per Review Score
Basic pricing is taken from the date of data collection for 1 guest.
This is the average price over the first 5 consecutive days the listing is available for, within the next two months.
Where these conditions are not satisfied, no pricing data is recorded. Full weekly pricing and daily availability data is available on request.
All prices are in HUF.
Occupancy and Income
How much does a property on Airbnb earn?
The average occupancy of an Airbnb listing in Budapest is 52.6%. A 2 person apartment typically earns Ft483,762.0 per month, while a four guest accommodation makes Ft608,218.0. The average monthly income for a property is calculated to be Ft650,123, which rises to Ft730,151 for listings with a review score of 4.9 or higher.
Estimated Monthly Income per Bedrooms
Estimated Monthly Income per Max Guests
Data excludes private, hotel and hostel rooms. The above data is derived from calculated values, based on availability between 2025-05-20 and 2025-07-20. Income does not include additional cleaning fees which can be added onto each booking.
Income extrapolation is generated by a machine learning model, trained on 20,0000 listings.
Doorbll offers comprehensive holiday rental datasets, including detailed pricing, availability, and estimated income. You can access the complete dataset directly or request a tailored analytics report to address specific questions and insights.
Reviews
Rating per Airbnb Listing
Number of Reviews on each Listing
Airbnb review scores in Budapest (4.76) are
slightly above
the average Airbnb review score across all locations (4.754)
Nearly three-quarters of
Airbnb listings use self-check in, with lockboxes, keypads or similar. This implies the property
is in regular use as an Airbnb listing, or is run as part of a professional business.
14% of hosts have more than one listing in Budapest, also suggesting
they are a business.
Hosts
Hosts listed as superhosts
44.1%
Hosts with more than 1 listing
13.7%
71%
of listings welcome guests with lockboxes or other self check-in methods
Hosts with Most Listings
| Host Name | No. of Listings | Avg. Review Score |
|---|---|---|
| Atos | 253 | 4.62 |
| Krisztina | 252 | 4.61 |
| Balázs | 204 | 4.6 |
| MYCOlive - Mani | 194 | 4.43 |
| BQA Short | 163 | 4.61 |
| George | 138 | 4.43 |
| János | 100 | 4.81 |
| Little Americas | 91 | 4.46 |
| Fab | 79 | 4.57 |
| Mihaly | 67 | 4.83 |
| Ádám | 62 | 4.68 |
| László | 59 | 4.65 |
| Robert | 59 | 4.51 |
| Szabolcs | 55 | 4.87 |
71%
of listings welcome guests with lockboxes or other self check-in methods
Neighbourhoods
| Total | All Entire Homes | 1-Bed Homes | 2-Bed Homes | 3-Bed Homes | Private Rooms | Reviews | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Count | Count | Avg. Price | Count | Avg. Price | Count | Avg. Price | Count | Avg. Price | Count | Avg. Price | Avg. Score | |
| Erzsébetváros | 3,911 | 3,586 | Ft33,504 | 2,119 | Ft26,672 | 844 | Ft40,468 | 256 | Ft59,566 | 221 | Ft22,611 | 4.73 |
| Józsefváros | 2,000 | 1,733 | Ft33,162 | 1,015 | Ft25,891 | 399 | Ft34,409 | 149 | Ft56,436 | 238 | Ft23,654 | 4.76 |
| Terézváros | 1,400 | 1,330 | Ft39,707 | 704 | Ft31,605 | 371 | Ft40,847 | 125 | Ft66,792 | 48 | Ft28,938 | 4.77 |
| Belváros | 1,336 | 1,229 | Ft37,467 | 704 | Ft29,174 | 315 | Ft46,329 | 102 | Ft63,812 | 51 | Ft26,193 | 4.77 |
| Belváros-Lipótváros | 846 | 781 | Ft42,020 | 412 | Ft34,871 | 244 | Ft48,927 | 58 | Ft63,462 | 35 | Ft32,606 | 4.76 |
| Várkerület | 785 | 734 | Ft33,144 | 447 | Ft29,251 | 179 | Ft38,585 | 48 | Ft56,170 | 30 | Ft21,286 | 4.83 |
| Angyalföld | 741 | 709 | Ft28,701 | 444 | Ft26,886 | 170 | Ft32,930 | 30 | Ft41,414 | 25 | Ft18,224 | 4.82 |
| Kelenföld | 192 | 187 | Ft27,507 | 119 | Ft24,975 | 41 | Ft29,364 | 13 | Ft38,352 | 4 | Ft14,514 | 4.83 |
| None | 118 | 95 | Ft38,893 | 57 | Ft25,968 | 30 | Ft56,636 | 5 | Ft35,869 | 23 | Ft14,960 | 4.89 |
| Pesterzsébet | 107 | 85 | Ft34,586 | 54 | Ft23,138 | 20 | Ft29,742 | 3 | Ft47,498 | 21 | Ft19,508 | 4.64 |
| Újpest | 100 | 97 | Ft33,113 | 52 | Ft21,863 | 22 | Ft32,347 | 13 | Ft59,110 | 3 | Ft19,022 | 4.84 |
| Pestszentlorinc-Pestszentimre | 87 | 57 | Ft42,680 | 26 | Ft33,578 | 19 | Ft39,506 | 4 | Ft45,658 | 26 | Ft29,071 | 4.79 |
| Budaörs | 57 | 47 | Ft35,527 | 25 | Ft26,802 | 11 | Ft30,498 | 7 | Ft49,838 | 9 | Ft33,021 | 4.81 |
| Vecsés | 41 | 25 | Ft37,123 | 11 | Ft26,952 | 9 | Ft40,336 | 3 | Ft54,807 | 16 | Ft25,659 | 4.86 |
| Dunakeszi | 22 | 20 | Ft36,172 | 10 | Ft26,537 | 7 | Ft30,419 | 1 | Ft80,000 | 1 | Ft37,822 | 4.82 |
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Neighbourhoods are provided by user input in Airbnb. Where this data is not provided on Airbnb, a kNN
machine learning model categorises listings into their most likely neighbourhood. Translated city names and names of large regions are removed where possible.
Download Data
Airbnb Overview
Basic property, host and review data for all Airbnb listings
Airbnb Pricing
Pricing per weekend and weekday, for the next 35 weeks
Airbnb Availability
Daily Airbnb check-in and check-out availability, per listing
Airbnb Occupancy and Income
Estimated occupancy and income for eligible listings
Airbnb Reviews
All review text and scores
Airbnb Descriptions
Text descriptions and host details
Airbnb Amenities
Amenities featured in each property
Data Dictionary
Verbose descriptions of all fields
Access complete and historic datasets