Best things to do Panevėžys (LT)

Popular days & hours to visit attractions in Panevėžys Lithuania .

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

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

Culture and Leisure Park is most popular around 6 PM on Thursdays. Visitors usually stay up to 1 hour 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 8 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

Google Maps

Church of St. Peter and St. Paul, Panevėžys (Church)
Smėlynės g. 10 Panevėžys 35143 Panevėžio m. sav. Lithuania
4.7

Church of St. Peter and St. Paul, Panevėžys is most popular around 10 AM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Parko užeiga | Parko pica (Other)
Parko g. 33a Panevėžys 37302 Panevėžio m. sav. Lithuania
3.9

Parko užeiga | Parko pica is most popular around 2 PM on Sundays. Visitors usually stay 25 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Marijonų sodas (Park)
A. Jakšto g. Panevėžys 35138 Panevėžio m. sav. Lithuania
4.6

Marijonų sodas is most popular around 5 PM on Fridays. Visitors usually stay up to 45 min here. It's most quiet on Mondays.

Google Maps

Key tree (Tourist destination)
Birutės g. 5 Panevėžys 35185 Panevėžio m. sav. Lithuania
4.4

Key tree is most popular around 4 PM on Saturdays. It's most quiet on Thursdays.

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.