Best open shops & malls Suginami-ku (JP) near you

Popular open shops and malls in Suginami-ku Japan : Avoid busy hours by visiting shopping malls during the quiet days as indicated below.

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

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Don Quijote (Shopping)
5 Chome-68-5 Nakano Nakano City, Tokyo 164-0001 Japan
3.5

Don Quijote is most popular around 9 PM on Fridays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Big-A Mitaka Shinkawa (Shopping)
Mitaka-shi Japan
3.6

Big-A Mitaka Shinkawa is most popular around 7 PM on Tuesdays. Visitors usually stay 10 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Frente Meidaimae (Shopping center)
2 Chome-46-1 Matsubara Setagaya City, Tokyo 156-0043 Japan
3.3

Frente Meidaimae is most popular around 7 PM on Tuesdays. Visitors usually stay up to 3 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Uoko Ogikubo Honten (Shopping)
Japan 〒167-0043 Tokyo, Suginami City, Kamiogi, 1 Chome−14−12 第二魚耕ビル1F
4.0

Visitors usually stay up to 4 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

OS Drug Kichijōji (Shopping)
9 武蔵野市
3.8

OS Drug Kichijōji is most popular around 2 PM on Thursdays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Shoe Plaza Kichijoji main shop (Shopping)
Shoe・Plaza, B1F 1 Chome-9-10 Kichijoji Honcho Musashino, Tokyo 180-0004 Japan
3.4

Shoe Plaza Kichijoji main shop is most popular around 4 PM on Saturdays. 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 Suginami-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.