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.

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

Makuhari Seaside Park is most popular around 1 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.

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. 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 1 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 2 PM on Sundays. It's most quiet on Tuesdays.

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 3 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Kasori Shellmounds Archeological Park (Park)
Japan 〒264-8733 Chiba, Wakaba Ward, Sakuragi 町163
4.0

Kasori Shellmounds Archeological Park is most popular around 11 AM 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.