Things to do in Nishinomiya-hama (JP)

Crowd levels and popular times for 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.

Dongame Nishinomiya (Japanese restaurant)
11-10 Takamatsucho Nishinomiya, Hyogo 663-8204 Japan
3.6

Dongame Nishinomiya is most popular around 4 PM on Saturdays. Visitors usually stay 1-3 hours here. It's most quiet on Mondays.

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For more info visit the website or checkout Google Maps.

Tajimaya Fukae Honten (Japanese restaurant)
3 Chome-3-1 Fukae Kitamachi Higashinada Ward, Kobe, Hyogo 658-0013 Japan
4.2

Tajimaya Fukae Honten is most popular around 6 PM on Saturdays. Visitors usually stay 1,5 hours here. It's most quiet on Tuesdays.

Google Maps

Imazu Onsen (Other)
2-8 Imazushazencho Nishinomiya, Hyogo 663-8229 Japan
3.8

Imazu Onsen is most popular around 9 PM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Airen (Chinese restaurant)
2-25 Kikutanicho Nishinomiya, Hyogo 662-0078 Japan
4.0

Airen is most popular around 7 PM on Saturdays. Visitors usually stay 1-2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

てんぷら広場 食道 (Japanese restaurant)
Japan 〒663-8245 Hyogo, Nishinomiya, Tsutokurehacho, 3−41
4.1

てんぷら広場 食道 is most popular around 12 PM on Tuesdays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Komeiken (Ramen restaurant)
7-3 Saifukucho Nishinomiya, Hyogo 662-0844 Japan
4.0

Komeiken is most popular around 6 PM on Saturdays. It's most quiet on Sundays.

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.