Best bars Klaipėda on Saturday night (LT)
Popular days & hours to visit bars in Klaipėda Lithuania on Saturday night - Avoid empty bars and enjoy the perfect night out.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated bars.
Leika (Beer)
Tomo g. 7 Klaipėda 91247 Klaipėdos m. sav. LithuaniaLeika is most popular around 11 PM on Fridays. Visitors usually stay 1-2,5 hours here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Bar Academics (Bar)
Taikos pr. 39T Klaipėda 91150 Klaipėdos m. sav. LithuaniaBar Academics is most popular around 12 AM on Saturdays. It's most quiet on Mondays.
Šotai, kokteiliai ir muzika, kurią mėgstate labiausiai ;) Vakarėlis kiekvieną vakarą!
HEZER (Bar)
Tiltų g. 18 Klaipėda 91246 Klaipėdos m. sav. LithuaniaBaras Lapė (Bar)
H. Manto g. 10 Klaipėda 92130 Klaipėdos m. sav. LithuaniaBaras Lapė is most popular around 11 PM on Fridays. It's most quiet on Tuesdays.
Atėjęs čia, niekada nebūni vienas! Labai šaunu pabėgti nuo miesto šurmulio, ir susirasti naujų pažinčių.
Beer on tap:
Hoegarden
Bernard black
Bernard Lager
Bavaria
When you come here, you are never alone! It's great to escape from the hustle and bustle of the city and meet new people.
For more info visit the website or checkout Google Maps.
Cocktail Bar KISS (Bar)
Naujojo Sodo g. 1 92117 Klaipėda LithuaniaCocktail Bar KISS is most popular around 4 AM on Fridays. It's most quiet on Mondays.
Naktinis kokteilių baras
Corner Gastropub (Beer)
Vytauto g. 21 Klaipėda 92128 Klaipėdos m. sav. LithuaniaCorner Gastropub is most popular around 10 PM on Saturdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
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Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Klaipėda, 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.