Best parks and nature in Nagoya (JP)

Unwind in Nagoya Japan Nature: Seek solitude or socialize in top outdoor spaces

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated places in nature.

Souri Pond Plum Garden (Botanical garden)
3 Chome-101 Souridai Chita, Aichi 478-0018 Japan
4.1

Souri Pond Plum Garden is most popular around 7 AM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Shiroyama Park (Park)
Japan 〒488-0883 Aichi, Owariasahi, Shiroyamacho, Nagaikeshimo 地内
3.9

Shiroyama Park is most popular around 11 AM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Suhara Park (Park)
Suhara-4-1 Igayacho Kariya, Aichi 448-0001 Japan
3.9

Suhara Park is most popular around 1 PM on Saturdays. Visitors usually stay up to 4 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Iwasaki Castle Ruins Park (Park)
Ichiba-67-67 Iwasakicho Nisshin, Aichi 470-0131 Japan
4.0

Visitors usually stay up to 2 hours here.

For more info visit the website or checkout Google Maps.

Makinogaike Green Park (Nature reserve)
Umemorizaka-52-175 Idakacho Oaza Takabari Meito Ward, Nagoya, Aichi 465-0067 Japan
4.0

Makinogaike Green Park is most popular around 2 PM on Sundays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Miyoshi Park (Park)
Ikenohara-1 Miyoshicho Miyoshi, Aichi 470-0224 Japan
4.0

Miyoshi Park is most popular around 7 PM on Saturdays. Visitors usually stay up to 3 hours here. It's most quiet on Mondays.

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 Nagoya, 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.