Fun things to do in Katsushika-ku (JP)

Best and most fun things to do in Katsushika-ku : 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.

Tsukemen Michi (Ramen restaurant)
5 Chome-28-17 Kameari Katsushika City, Tokyo 125-0061 Japan
4.0

Tsukemen Michi is most popular around 11 AM on Sundays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

佃 瀧三郎 すし さかな 錦糸町店 (Sushi restaurant)
Japan 〒130-0012 Tokyo, Sumida City, Taihei, 4 Chome−15−3 レアルコート太平 101
4.2

佃 瀧三郎 すし さかな 錦糸町店 is most popular around 5 PM on Thursdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Kaiki (Chinese restaurant)
スズキビル 1 Chome-19-17 Ohanajaya Katsushika City, Tokyo 124-0003 Japan
3.8

Kaiki is most popular around 12 PM on Saturdays. It's most quiet on Mondays.

Google Maps

加賀廣 亀有店 (Japanese restaurant)
Japan 〒125-0061 Tokyo, Katsushika City, Kameari, 5 Chome−34−11
4.0

加賀廣 亀有店 is most popular around 7 PM on Fridays. Visitors usually stay 1-2.5 hours here. It's most quiet on Mondays.

Google Maps

Higashi-Komatsugawa Park (Park)
1 Chome-37-1 Matsushima Edogawa City, Tokyo 132-0031 Japan
4.0

Higashi-Komatsugawa Park is most popular around 2 PM on Wednesdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Wednesdays.

Google Maps

Hinodeya (Ramen restaurant)
1 Chome-33-2 Yanagihara Adachi City, Tokyo 120-0022 Japan
4.2

Hinodeya is most popular around 12 PM on Fridays. It's most quiet on Mondays.

Google Maps

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