Accommodation and Travel Stats
Hanko: Tourism in a nutshell
Registered accommodation. All changes are relative to the same period a year ago.
Registered bed nights increased 35 percent (January)
In January 2023, 1,600 registered bed nights were recorded in Hanko (+35.0 %), of which 1,500 nights were spent by domestic visitors and 36 nights by foreigners. Registered domestic bed nights increased 40 percent and registered foreign bed nights decreased 46 percent. In total, registered bed nights increased 35 percent from last year's January.
1,000 nights (+36.0 %) were spend by leisure visitors and 510 nights (+32.9 %) by business visitors.
Registered bed nights statistics include stats for registered accommodations: hotels, motels, guest houses, hostels, holiday villages and campsites. Establishments with fewer than 20 beds or caravan lots with an electrical connection point are excluded.
Registered bed nights
Registered bed nights by country of arrival
890 tourists arrived to registered accommodation (January)
Arrivals to registered accommodation increased 15 percent compared to earlier year. Of all registered arrivals, 98.3 percent were domestic, and 1.7 percent were from foreign countries.
During January, domestic visitors stayed in registered accommodation in Hanko on average 1.7 nights (+0.25) and foreigners 2.4 nights (+0.77).
Visitor days by region
Visitor days by city
Visitor days by postal code
Visitor nights by region
340 passengers by ferries (January)
There were 340 arriving passengers by ferries. The number of departing passengers was 155.
Ferry arrivals from different harbors
International = International cruise ships
|Adr (Non-Registered)||135 €||33.6 %||154 €||38.0 %|
|Revpar (Non-Registered)||35 €||-2.8 %||39 €||13.5 %|
Registered accommodation sales
Non-registered accommodation sales
Average registered room price (ADR)
Capacity & Utilization
Airbnb and Vrbo
93 accommodation establishments (+31)
83 apartments (+26)
147 rooms (+58)
Apartment utilization 25.7 % (-9.6)
Unsold apartments 62
Registered room utilization for establishments
Sources: Airdna, Finnish Meteorological Institute, Finnish Transport Infrastructure Agency, Meteostat, Socialblade, Statistics Finland, Tak Research