Best parks and nature in Saitama (JP)

Unwind in Saitama 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.

Saitama Municipal Bessho-numa Park (Park)
4 Chome-12-10 Bessho Minami Ward, Saitama, 336-0021 Japan
4.1

Saitama Municipal Bessho-numa Park is most popular around 11 AM 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.

Akigase Park (Park)
Sakawa Sakura Ward, Saitama, 338-0832 Japan
4.0

Akigase Park is most popular around 10 AM on Sundays. It's most quiet on Fridays.

秋ヶ瀬公園内でのBBQ行為はすべて禁止とさせていただきます。

For more info visit the website or checkout Google Maps.

Arakawa & Lake Sai Park (Park)
3513-1 Tajima Sakura Ward, Saitama, 336-0036 Japan
4.1

Arakawa & Lake Sai Park is most popular around 11 AM on Sundays. 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.

Yono Park (Park)
1 Chome Honmachinishi Chuo Ward, Saitama, 338-0004 Japan
4.0

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

For more info visit the website or checkout Google Maps.

Urawakita Park (Park)
9 Chome-30-5 Tokiwa Urawa Ward, Saitama, 330-0061 Japan
4.0

Urawakita Park is most popular around 2 PM on Sundays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Osaki Park (Park)
3170-1 Osaki Midori Ward, Saitama, 336-0974 Japan
4.0

Osaki Park is most popular around 11 AM on Sundays. It's most quiet on Fridays.

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 Saitama, 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.