Things to do in Gießen (DE)

Crowd levels and popular times for Gießen : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

Map
Kim Phat Sushibar (Sushi restaurant)
Lindenpl. 4 35390 Gießen Germany
4.1

Kim Phat Sushibar is most popular around 7 PM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Restaurant Keyf-i Mangal (Restaurant)
Asterweg 3
4.1

Restaurant Keyf-i Mangal is most popular around 7 PM on Saturdays. It's most quiet on Thursdays.

Restaurant Keyf-i Mangal

For more info visit the website or checkout Google Maps.

Geschmacksverkehr (Restaurant)
Mäusburg 8 35390 Gießen Germany
4.4

Geschmacksverkehr is most popular around 3 PM on Saturdays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Tuesdays.

Google Maps

Paprica Bar Gießen (Restaurant)
Friedrichstraße 4 35392 Gießen Germany
4.1

Paprica Bar Gießen is most popular around 7 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Simit Diyari (StadtBäckerei) (Bakery)
Walltorstraße 10 35390 Gießen Germany
4.1

Simit Diyari (StadtBäckerei) is most popular around 5 PM on Sundays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

News Café (Cafe)
Plockstraße 1-3 35390 Gießen Germany
4.3

News Café is most popular around 1 PM on Saturdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Mondays.

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 Gießen, Germany. 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.