Best open shops & malls Himeji (JP) near you

Popular open shops and malls in Himeji 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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Piole Himeji (Shopping center)
188-1 Ekimaecho Himeji, Hyogo 670-0927 Japan
3.8

Piole Himeji is most popular around 3 PM on Saturdays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

You Me Town Himeji (Shopping center)
3 Chome-12-17 Mikookamae Himeji, Hyogo 670-0055 Japan
3.7

You Me Town Himeji is most popular around 2 PM on Sundays. Visitors usually stay 25 min to 1,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Takata-no-baba (Shopping)
4 Chome-68 Tamade Himeji, Hyogo 670-0985 Japan
3.5

Takata-no-baba is most popular around 1 PM on Thursdays. Visitors usually stay 1-4 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Himeji LOFT (Shopping)
Japan 〒672-8085 Hyogo, Himeji, Shikamaku Nakahamacho, 2 Chome Excellent
3.6

Himeji LOFT is most popular around 2 PM on Saturdays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

A-Price (Shopping)
6 Chome-7-1 Shinonomecho Himeji, Hyogo 670-0046 Japan
3.8

Visitors usually stay 10 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

San-yo Department Store (Shopping center)
1 Minamimachi Himeji, Hyogo 670-0912 Japan
3.7

Visitors usually stay 30 min to 1,5 hr here.

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 Himeji, 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.