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.

Map
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 Mondays.

For more info visit the website or checkout Google Maps.

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

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

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 5 PM on Saturdays. Visitors usually stay up to 45 min here. It's most quiet on Mondays.

Google Maps

Grill London (Restaurant)
Vakarinė g. 61 37370 Panevėžys Lithuania
4.6

Grill London is most popular around 2 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

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

Čili Pizza Restaurant is most popular around 6 PM on Fridays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Mondays.

Google Maps

Charlie Pizza (Pizza restaurant)
Vakarinė g. 61 37189 Panevėžys Lithuania
3.4

Charlie Pizza is most popular around 1 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr 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 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.