Best parks and nature in Vilnius (LT)

Unwind in Vilnius Lithuania Nature: Seek solitude or socialize in top outdoor spaces

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated places in nature.

Bernardine Garden (Park)
Barboros Radvilaitės g. 8A Vilnius 01143 Vilniaus m. sav. Lithuania
4.8

Bernardine Garden is most popular around 5 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Vingis Park (Park)
M. K. Čiurlionio g. 100 Vilnius 03100 Vilniaus m. sav. Lithuania
4.7

Vingis Park is most popular around 9 PM on Thursdays. Visitors usually stay up to 3,5 hours here. It's most quiet on Mondays.

Vingio-parkas

For more info visit the website or checkout Google Maps.

Pavilnys Regional Park (Park)
Belmonto g. Vilnius 01206 Vilniaus m. sav. Lithuania
4.7

Pavilnys Regional Park is most popular around 2 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Lukiškės Square (Park)
Gedimino pr. Vilnius 01108 Vilniaus m. sav. Lithuania
4.6

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

Google Maps

Vincas Kudirka Square (Park)
Gedimino pr. Vilnius 01103 Vilniaus m. sav. Lithuania
4.6

Vincas Kudirka Square is most popular around 2 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Mondays.

Google Maps

Ozo Park (Park)
V. Gerulaičio g. 1A Vilnius 08200 Vilniaus m. sav. Lithuania
4.6

Ozo Park is most popular around 6 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.

Google Maps

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