Best parks and nature in Minamisuita (JP)

Unwind in Minamisuita 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.

Takemi Park (Park)
4 Chome-2-5 Takemidai Suita, Osaka 565-0863 Japan
3.7

Takemi Park is most popular around 9 AM 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.

Saraike Park (Park)
4 Chome-19 Minamisakurazuka Toyonaka, Osaka 561-0882 Japan
3.5

Saraike Park is most popular around 12 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

地域密着型の公園

For more info visit the website or checkout Google Maps.

Katayamakita Fureai park (Park)
4 Chome-13-1 Yamatecho Suita, Osaka 564-0073 Japan
3.6

Katayamakita Fureai park is most popular around 7 PM on Fridays. Visitors usually stay up to 2 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Osumi Park (Park)
5 Chome-14 Daido Higashiyodogawa Ward, Osaka, 533-0011 Japan
3.7

Osumi Park is most popular around 8 AM on Mondays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Kumanoda Park (Park)
2 Asahigaoka Toyonaka, Osaka 561-0865 Japan
3.5

Kumanoda Park is most popular around 10 AM on Wednesdays. Visitors usually stay up to 3.5 hours here. It's most quiet on Mondays.

Google Maps

Gotanjima Park (Park)
5 Chome-34 Minamisuita Suita, Osaka 564-0043 Japan
3.4

Gotanjima Park is most popular around 4 PM on Thursdays. Visitors usually stay up to 3 hours here. It's most quiet on Wednesdays.

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 Minamisuita, 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.