Fun things to do Kaunas (LT)

Popular days & hours to visit attractions in Kaunas Lithuania .

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated sightseeing spots.

Lithuanian Zoo (Zoo)
Radvilėnų pl. 21 Kaunas 50299 Kauno m. sav. Lithuania
4.3

Lithuanian Zoo is most popular around 2 PM on Sundays. Visitors usually stay 45 min to 3 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Kalniečių parkas (Park)
Kaunas 50119 Kauno m. sav. Lithuania
4.7

Kalniečių parkas is most popular around 6 PM on Wednesdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

Google Maps

Oak-Wood Park (Park)
Radvilėnų pl. 15A Kaunas 50256 Kauno m. sav. Lithuania
4.7

Oak-Wood Park is most popular around 2 PM on Sundays. Visitors usually stay up to 3 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Aleksotas Observation Deck (Tourist destination)
Kaunas 46257 Kauno m. sav. Lithuania
4.7

Aleksotas Observation Deck is most popular around 9 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Draugystės Park (Park)
Taikos pr. 87B Kaunas 50440 Kauno m. sav. Lithuania
4.6

Draugystės Park is most popular around 6 PM on Wednesdays. Visitors usually stay up to 1 hour here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Panemunė pinewood (Park)
Gailutės g. 4 Kaunas 45324 Kauno m. sav. Lithuania
4.8

Panemunė pinewood is most popular around 3 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Kaunas, Lithuania. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.