Best nightclubs in Copenhagen on Saturday night (DK)

Nightclub crowd levels in Copenhagen Denmark on Saturday night. Avoid empty clubs & enjoy the perfect night out at the popular times.

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

Map
Den Anden Side (Clubs)
Axeltorv 5 1609 København Denmark
3.0

Den Anden Side is most popular around 2 AM on Saturdays. Visitors usually stay 2.5-5.5 hours here.

For more info visit the website or checkout Google Maps.

Museo Club (Clubs)
Lille Kongensgade 16 1074 København Denmark
2.2

Museo Club is most popular around 1 AM on Saturdays. Visitors usually stay 1,5-4 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Miami Bar (Clubs)
Gammeltorv 16 1457 København Denmark
2.4

Miami Bar is most popular around 12 AM on Fridays. Visitors usually stay 1-3 hours here. It's most quiet on Thursdays.

Cocktails & Nightclub

For more info visit the website or checkout Google Maps.

Module (Clubs)
Vesterbrogade 2B 1620 København Denmark
4.3

Module is most popular around 5 AM on Fridays. Visitors usually stay 2-4.5 hours here.

Module is the melting pot for electronic music in Copenhagen with both international and local bookings on the roster. Sound, Lights and Art 🖤

For more info visit the website or checkout Google Maps.

Mini Bar (Clubs)
Gothersgade 35 1123 København Denmark
3.0

Mini Bar is most popular around 11 PM on Fridays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

The Union (Clubs)
Eskildsgade 23 1657 København Denmark
5.0

The Union is most popular around 8 PM on Saturdays. It's most quiet on Fridays.

Google Maps

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