Best parks and nature in Sakai (JP)

Unwind in Sakai 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.

Otori Park (Park)
3 Chome-197 Otoriminamimachi Nishi Ward, Sakai, Osaka 593-8325 Japan
3.7

Otori Park is most popular around 8 PM on Fridays. Visitors usually stay up to 15 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

浅香山緑道 (Park)
Japan 〒590-0011 Osaka, Sakai, Sakai Ward, Kaorigaokacho, 5 Chome−1
3.9

浅香山緑道 is most popular around 5 PM on Saturdays. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Asakayama Park (Park)
2-9 Asakayamacho Sakai Ward, Sakai, Osaka 591-8008 Japan
3.7

Asakayama Park is most popular around 2 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Kanaokahigashidaisan Park (Park)
4 Chome-5 Shinkanaokacho Kita Ward, Sakai, Osaka 591-8021 Japan
3.6

Kanaokahigashidaisan Park is most popular around 10 AM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Asaka Central Park (Park)
1 Chome-6 Asaka Sumiyoshi Ward, Osaka, 558-0021 Japan
3.8

Asaka Central Park is most popular around 3 PM on Sundays. Visitors usually stay up to 2.5 hours here. It's most quiet on Tuesdays.

Google Maps

Kitashinmachi Oike Park (Park)
5 Chome-2-23 Kitashinmachi Matsubara, Osaka 580-0025 Japan
3.8

Kitashinmachi Oike Park is most popular around 5 PM on Wednesdays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Sakai, 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.