Best parks and nature in Naha (JP)

Unwind in Naha 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.

Onoyama Park (Park)
52 Onoyamacho Naha, Okinawa 900-0026 Japan
4.3

Onoyama Park is most popular around 2 PM on Sundays. Visitors usually stay up to 3 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Fukushūen Garden (Park)
2 Chome-29-19 Kume Naha, Okinawa 900-0033 Japan
4.3

Fukushūen Garden is most popular around 12 PM 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.

Navy Headquarters Underground Park (Park)
236番地 Tomigusuku Okinawa 901-0241 Japan
4.1

Navy Headquarters Underground Park is most popular around 2 PM on Fridays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Shintoshin Park (Park)
3 Chome-2 Omoromachi Naha, Okinawa 900-0006 Japan
4.1

Shintoshin Park is most popular around 4 PM on Saturdays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Umisora Park (Park)
3 Chome-3-1 Tsuji Naha, Okinawa 900-0037 Japan
4.0

Umisora Park is most popular around 4 PM on Sundays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Yogi Park (Park)
1 Chome-1-1 Yorimiya Naha, Okinawa 902-0064 Japan
3.6

Yogi Park is most popular around 3 PM on Saturdays. Visitors usually stay up to 2 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 Naha, 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.