Fun things to do Copenhagen on Wednesday evening (DK)
Popular days & hours to visit attractions in Copenhagen Denmark on Wednesday evening.
Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated sightseeing spots.
(Other)
Gammel Køge Landevej 103McDonald's is most popular around 6 PM on Sundays. Visitors usually stay 15 min here. It's most quiet on Mondays.
Classic, long-running fast-food chain known for its burgers & fries.
For more info visit the website or checkout Google Maps.
(Other)
Sankt Peders Stræde 34Vækst is most popular around 7 PM on Tuesdays. Visitors usually stay 2,5 hours here. It's most quiet on Sundays.
Imaginative bi-level restaurant with greenhouse-inspired decor & elevated Nordic cuisine.
For more info visit the website or checkout Google Maps.
(Concert hall)
Islands Brygge 18Kulturhuset Islands Brygge is most popular around 6 PM on Fridays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Other)
Falkoner Alle 20McDonald's is most popular around 7 PM on Fridays. Visitors usually stay 25 min here. It's most quiet on Tuesdays.
Classic, long-running fast-food chain known for its burgers & fries.
For more info visit the website or checkout Google Maps.
(Library)
Søren Kierkegaards Pl. 1Det Kgl. Bibliotek, The Royal Library is most popular around 1 PM on Thursdays. Visitors usually stay 1,5-4 hours here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
(Other)
Hammerichsgade 1REMA 1000 is most popular around 4 PM on Thursdays. Visitors usually stay up to 25 min here. It's most quiet on Saturdays.
REMA 1000 København V
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 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.