Things to do in Panevėžys (LT)

Crowd levels and popular times for 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.

RYO (Shopping center)
Vakarinė g. 61 Panevėžys 37189 Panevėžio m. sav. Lithuania
4.5

RYO is most popular around 1 PM on Saturdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Babilonas (Shopping center)
Klaipėdos g. 143a Panevėžys 37189 Panevėžio m. sav. Lithuania
4.4

Visitors usually stay 20 min to 1 hr here.

For more info visit the website or checkout Google Maps.

Culture and Leisure Park (Park)
Parko g. Panevėžys 35190 Panevėžio m. sav. Lithuania
4.7

Culture and Leisure Park is most popular around 3 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Grill London (Restaurant)
Vakarinė g. 61 Panevėžys 37370 Panevėžio m. sav. Lithuania
4.5

Grill London is most popular around 1 PM on Saturdays. Visitors usually stay 20 min to 1 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Skaistakalnis Park (Park)
J. Biliūno g. 3 Panevėžys 36102 Panevėžio m. sav. Lithuania
4.4

Skaistakalnis Park is most popular around 8 PM on Fridays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

Čili Pizza Restaurant (Pizza restaurant)
Laisvės a. 5 Panevėžys 35183 Panevėžio m. sav. Lithuania
3.7

Čili Pizza Restaurant is most popular around 8 PM on Fridays. It's most quiet on Wednesdays.

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.