Best parks and nature in Fukuoka (JP)

Unwind in Fukuoka 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.

Meinohama central park (Park)
2 Chome-4 Meinohamaekiminami Nishi Ward, Fukuoka, 819-0006 Japan
3.9

Meinohama central park is most popular around 5 PM on Fridays. 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.

Suishabashi Park (Park)
2 Chome-4 Kataminechuo Shime, Kasuya District, Fukuoka 811-2246 Japan
3.8

Suishabashi Park is most popular around 12 PM on Thursdays. Visitors usually stay up to 1 hour here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Fukuoka Kenei Najima Sports Park (Park)
2 Chome-43 Najima Higashi Ward, Fukuoka, 813-0043 Japan
3.7

Fukuoka Kenei Najima Sports Park is most popular around 7 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Sumiyoshi Park (Park)
4 Chome-3 Sumiyoshi Hakata Ward, Fukuoka, 812-0018 Japan
3.8

Sumiyoshi Park is most popular around 11 AM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

Google Maps

Shiobara Central Park (Park)
2 Chome-5 Shiobaru Minami Ward, Fukuoka, 815-0032 Japan
3.8

Shiobara Central Park is most popular around 1 PM on Mondays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Jigyo Central Park (Park)
1 Chome-1-9 Jigyohama Chuo Ward, Fukuoka, 810-0065 Japan
3.8

Jigyo Central Park is most popular around 3 AM on Mondays. It's most quiet on Sundays.

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.