Best parks and nature in Nishinomiya-hama (JP)

Unwind in Nishinomiya-hama Japan Nature: Seek solitude or socialize in top outdoor spaces

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Shukugawa Park (Park)
14他 Kaguracho Nishinomiya, Hyogo 662-0977 Japan
4.3

Shukugawa Park is most popular around 1 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Hamakoshien Athletic Park (Park)
20-1 Edagawacho Nishinomiya, Hyogo 663-8143 Japan
3.8

Hamakoshien Athletic Park is most popular around 11 AM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kōshien Hama Seaside Park (Park)
1 Chome-2-1 Koshienhama Nishinomiya, Hyogo 663-8155 Japan
3.8

Kōshien Hama Seaside Park is most popular around 2 PM on Saturdays. Visitors usually stay up to 2.5 hours here. It's most quiet on Mondays.

Google Maps

Sanyo Shinkansen Memorial Park (Park)
4 Chome-5-20 Kamikotoen Nishinomiya, Hyogo 662-0813 Japan
3.9

Sanyo Shinkansen Memorial Park is most popular around 10 AM on Saturdays. Visitors usually stay up to 45 min here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Ashiya Chūō Park (Park)
1 Wakabacho Ashiya, Hyogo 659-0041 Japan
4.0

Ashiya Chūō Park is most popular around 11 AM on Sundays. Visitors usually stay up to 2,5 hours here. It's most quiet on Thursdays.

スポーツマウスピースワタカノ、高川です‼️マウスピースの、専門店です!型どりして、お客様に、 喜んで頂くことが、私達の喜びです‼️😊

For more info visit the website or checkout Google Maps.

Kawarabayashi Park (Park)
3 Chome-7 Kamikoshien Nishinomiya, Hyogo 663-8114 Japan
3.7

Kawarabayashi Park is most popular around 11 AM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

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.