Fun things to do in Panevėžys (LT)

Best and most fun things to do in Panevėžys : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

Top Pizza Burgers & Kebabs (Pizza restaurant)
Klaipėdos g. 102 Panevėžys 37380 Panevėžio m. sav. Lithuania
3.5

Top Pizza Burgers & Kebabs is most popular around 5 PM on Fridays. Visitors usually stay up to 45 min here. It's most quiet on Mondays.

Top Pizza Kebabs & Burgers

For more info visit the website or checkout Google Maps.

Trolių pica (Pizza restaurant)
J. Basanavičiaus g. 54 Panevėžys 36205 Panevėžio m. sav. Lithuania
3.9

Trolių pica is most popular around 4 PM on Fridays. Visitors usually stay up to 25 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Trolių pica (Pizza restaurant)
Nemuno g. 42A 35219 Panevėžys Lithuania
3.1

Trolių pica is most popular around 12 PM on Fridays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Don Kichotas (Tourist destination)
Respublikos g. Panevėžys 35184 Panevėžio m. sav. Lithuania
4.7

Don Kichotas is most popular around 5 PM on Fridays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Dabarties Ekranas (Tourist destination)
Panevėžys 35116 Panevėžio m. sav. Lithuania
2.3

It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Povilo Plechavičiaus skveras (Park)
Panevėžys 35199 Panevėžio m. sav. Lithuania
5.0

Povilo Plechavičiaus skveras is most popular around 6 AM on Wednesdays. It's most quiet on Fridays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Panevėžys, 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.