Best parks and nature in Fukuoka (JP)

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

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Uminonakamichi Seaside Park (National park)
18-25 Saitozaki Higashi Ward, Fukuoka, 811-0321 Japan
4.4

Uminonakamichi Seaside Park is most popular around 3 PM on Sundays. It's most quiet on Thursdays.

国営海の中道海浜公園は、アスレチック、季節の花や動物とのふれあい、宿泊施設やバーベキューなど子どもから大人まで一日中楽しめる自然豊かな公園です。

For more info visit the website or checkout Google Maps.

Kego Park (Park)
2 Chome-2 Tenjin Chuo Ward, Fukuoka, 810-0001 Japan
3.8

Kego Park is most popular around 9 PM on Saturdays. 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.

Nishi Park (Park)
13 Nishikoen Chuo Ward, Fukuoka, 810-0061 Japan
4.1

Nishi Park is most popular around 1 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.

Rakusuien (Park)
2 Chome-10-7 Sumiyoshi Hakata Ward, Fukuoka, 812-0018 Japan
4.0

Rakusuien is most popular around 12 PM on Mondays. Visitors usually stay up to 1 hour here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Sanno Park (Park)
1 Chome-9 Sanno Hakata Ward, Fukuoka, 812-0015 Japan
4.1

Sanno Park is most popular around 1 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Island City Central Park (Park)
4 Chome-1 Kashiiteriha Higashi Ward, Fukuoka, 813-0017 Japan
4.1

Island City Central Park is most popular around 3 PM on Sundays. Visitors usually stay up to 1,5 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 Fukuoka, 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.