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STR Market Report
Közép-Magyarország, Hungary • Short-Term Rental Market
51%
Entire-home, active listings
Occupancy Rate
~15 nights booked per month on average
150 Ft
Median, entire-home
Avg Nightly Rate
Typical price per night charged by whole-home hosts in this market
9,847
Had a review in past 12 mo
Active Listings
Whole-home Airbnbs with at least 1 recent guest review — active supply
2295 Ft
~15 booked nights / month
Est. Monthly Revenue
Directional gross booking revenue estimate before fees, expenses, and seasonality shifts
Licensed
Permit required — manageable for most operators with proper compliance
Regulatory Risk
Higher-risk setup due to weaker demand, pricing constraints, or regulation. Underwrite conservatively.
2 nights
Typical host minimum
Median Min Stay
Most common minimum booking length. Short = weekenders welcome. Long (7+ nights) = weekly guests only.
47%
Hosts with 5+ listings
Pro Host Rate
Significant investor presence — you'll compete with experienced multi-property operators
2.2/mo
Median reviews per month
Booking Velocity
How quickly typical listings earn new reviews — a proxy for how often properties get booked. Higher = stronger demand.
95%
Have a permit on file
Licensed Listings
High compliance rate — regulations are actively enforced here. Budget for permitting before listing.
Strong demand across all seasons — minimal seasonal revenue volatility
budapest-hungary is an emerging short-term rental market with growing demand from tourism, business travel, and outdoor recreation. Detailed editorial content coming soon.
Premium Pricing Pocket
XII. kerület
Avg nightly rate: 56 190 Ft
Highest Occupancy Pocket
VI. kerület
Avg occupancy: 60%
Best Balanced Opportunity
XII. kerület
Healthy mix of demand, pricing, and listing depth
Ranked by active listing count (Inside Airbnb data).
Markets in Europe with similar investment-score profiles:
Takeaway: entire home apt dominates this market snapshot.
Takeaway: the highest concentration of listings sits in the Over $1000 nightly range.
Takeaway: most listings cluster around 0–10% occupancy.
| Neighbourhood | Listings ↓ | Avg Price | Occupancy | Avg Rating |
|---|---|---|---|---|
| VII. kerület | 3,528 | 40 438 Ft | 49.8% | — |
| VI. kerület | 2,216 | 43 295 Ft | 60% | — |
| VIII. kerület | 1,861 | 33 280 Ft | 46.2% | — |
| V. kerület | 1,332 | 38 595 Ft | 48.4% | — |
| IX. kerület | 917 | 36 998 Ft | 50% | — |
| XIII. kerület | 805 | 34 733 Ft | 47% | — |
| I. kerület | 435 | 38 171 Ft | 49.4% | — |
| II. kerület | 317 | 32 634 Ft | 48.2% | — |
| XI. kerület | 284 | 32 946 Ft | 49.6% | — |
| XIV. kerület | 179 | 27 203 Ft | 43.9% | — |
| III. kerület | 140 | 35 700 Ft | 51.1% | — |
| XII. kerület | 106 | 56 190 Ft | 44.7% | — |
| XX. kerület | 38 | 26 922 Ft | 38.8% | — |
| XVIII. kerület | 29 | 34 099 Ft | 45.6% | — |
| X. kerület | 29 | 20 647 Ft | 28.6% | — |
Source: Inside Airbnb. Click column headers to sort.
Analytics derived from Inside Airbnb public datasets. Data reflects the snapshot date above. Not financial advice.
Want verified, real-time data?
Our estimates are a starting point — these tools give you neighborhood-level occupancy, revenue projections, and comp analysis from live Airbnb data.
Real-time occupancy, ADR, and RevPAR by neighborhood. The industry standard for STR market research.
View Budapest data on AirDNA →Combines Airbnb data with traditional rental comps. Great for comparing STR vs long-term rental ROI.
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Score formula: Occupancy (max 45 pts) + ADR (max 30 pts) + Regulatory environment (up to 25 pts). Max score: 100.
Moderate market — Budapest has decent fundamentals but some limitations. Worth investigating further before committing capital.
Get personalized advice on market entry, property selection, and STR strategy from an experienced STR host.