Fun things to do on Thursday afternoon in Sumida (JP)

Best and most fun things to do in Sumida on Thursday afternoon: 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.

AI
(Museum)
1 Chome-8-13 Nishiasakusa
4.9

Samurai Ninja Museum Asakusa Tokyo is most popular around 12 PM on Sundays. Visitors usually stay 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Tourist destination)
1 Chome-36-3 Asakusa
4.3

Nakamise Shopping Street is most popular around 1 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
角田ビル 1階
4.9

Gyumon Halal Ramen Asakusa is most popular around 7 PM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
Urayasu Japan
4.8

Asakusa Gyukatsu is most popular around 6 PM on Sundays. Visitors usually stay 1-1,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
1 Chome-25-15 Asakusa
3.8

Asakusa ROX is most popular around 3 PM on Sundays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
Hulic&New 雷門 4F
4.8

Mo-Mo-Paradise Asakusa Kaminarimon is most popular around 6 PM on Saturdays. Visitors usually stay 45 min to 2,5 hr here. It's most quiet on Wednesdays.

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 Sumida, Japan. 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.