Best open shops & malls Komae (JP) near you

Popular open shops and malls in Komae 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.

Chofu PARCO (Shopping center)
1 Chome-38-1 Kojimacho Chofu, Tokyo 182-0026 Japan
3.7

Chofu PARCO is most popular around 3 PM on Saturdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

YAMADA Electric TeccLand Komae (Shopping)
ニトリ狛江ショッピングセンタ 1F 2 Chome-4-3 Iwadominami Komae, Tokyo 201-0005 Japan
4.4

YAMADA Electric TeccLand Komae is most popular around 2 PM on Sundays. Visitors usually stay 10-45 min here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Seijo Corty (Shopping center)
6 Chome-5-34 Seijo Setagaya City, Tokyo 157-0066 Japan
3.8

Seijo Corty is most popular around 1 PM on Saturdays. Visitors usually stay 25 min to 2,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Trie Keio Chōfu Bldg. C (Shopping center)
2 Chome-61-1 Kojimacho Chofu, Tokyo 182-0026 Japan
3.8

Trie Keio Chōfu Bldg. C is most popular around 3 PM on Saturdays. Visitors usually stay 25 min to 3 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

KOKO Square (Shopping center)
3 Chome-1-38 Kokuryocho Chofu, Tokyo 182-0022 Japan
3.5

KOKO Square is most popular around 7 PM on Fridays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

きりごもん (Shopping)
Japan 〒201-0001 Tokyo, Komae, Nishinogawa, 1 Chome−17−2
4.9

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