Fun things to do in Nishinomiya-hama (JP)

Best and most fun things to do in Nishinomiya-hama : 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
(Shopping center)
14-2 Takamatsucho
4.1

Hankyu Nishinomiya Gardens is most popular around 2 PM on Saturdays. Visitors usually stay 30 min to 3 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
1-100 Koshien 8bancho Nishinomiya, Hyogo 663-8178 Japan
3.9

LaLaport Koshien is most popular around 3 PM on Sundays. Visitors usually stay 30 min to 2 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
Japan 〒662-0973 Hyogo, Nishinomiya, Tanakacho, 1−26 エビスタ西宮 阪神百貨店内 Deli / Lunch Box
3.7

Ebista Nishinomiya is most popular around 1 PM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Other)
1-13 Rokutanjicho
3.5

Don Quijote is most popular around 3 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Convenience store selling groceries, toys, footwear & other household items.

For more info visit the website or checkout Google Maps.

(Other)
10-2 Kaiyocho
4.1

Shio-Ashiya Onsen SPA Suishun is most popular around 3 PM on Saturdays. Visitors usually stay 2-4 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Museum)
4.5

Visitors usually stay 15 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 Nishinomiya-hama, 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.