Best parks and nature in Chiba (JP)

Unwind in Chiba 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.

Inage Seaside Park (Park)
稲毛海浜公園内 7 Chome-2 Takahama Mihama Ward, Chiba, 261-0003 Japan
4.1

Inage Seaside Park is most popular around 1 PM on Sundays. Visitors usually stay up to 5,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Makuhari Seaside Park (Park)
2 Chome-116 Hibino Mihama Ward, Chiba, 261-0021 Japan
3.9

Makuhari Seaside Park is most popular around 7 PM on Saturdays. Visitors usually stay up to 4 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Chiba Park (Park)
3 Chome-1-1 Benten Chuo Ward, Chiba, 260-0045 Japan
4.0

Chiba Park is most popular around 2 PM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Aobanomori Park (Park)
977-1 Aobacho Chuo Ward, Chiba, 260-0852 Japan
4.1

Aobanomori Park is most popular around 12 PM on Sundays. Visitors usually stay up to 3,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Soga Sports Park (Park)
1-20 Kawasakicho Chuo Ward, Chiba, 260-0835 Japan
4.0

Soga Sports Park is most popular around 6 PM on Saturdays. Visitors usually stay up to 5 hours here.

For more info visit the website or checkout Google Maps.

Chiba City Chuo Park (Park)
1 Chome-12 Central Chuo Ward, Chiba, 260-0013 Japan
3.5

Chiba City Chuo Park is most popular around 4 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.

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