Fun things to do in Sumida (JP)

Best and most fun things to do in Sumida : 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
pain・maison Sumida Asakusa Dori Street (Bakery)
2 Chome-4-1 Azumabashi Sumida City, Tokyo 130-0001 Japan
4.4

pain・maison Sumida Asakusa Dori Street is most popular around 3 PM on Saturdays. Visitors usually stay 10 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Daikoku-yu (Other)
4.2

Daikoku-yu is most popular around 5 PM on Sundays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Mukojima-Hyakkaen Gardens (Other)
Japan 〒131-0032 Tokyo, Sumida City, Higashimukojima, 3 Chome−18−3
4.0

Mukojima-Hyakkaen Gardens is most popular around 1 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

The Japanese Sword Museum (Museum)
4.0

Visitors usually stay 45 min to 1,5 hr here.

For more info visit the website or checkout Google Maps.

Gyūnabe Yonekyū (Restaurant)
2 Chome-17-10 Asakusa 台東区 Taito City, Tokyo 111-0032 Japan
3.8

Gyūnabe Yonekyū is most popular around 6 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Yokoamicho Park (Park)
2 Chome-3-25 Yokoami Sumida City, Tokyo 130-0015 Japan
4.1

Visitors usually stay up to 1 hour 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 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.