Best parks and nature in Koshigaya (JP)

Unwind in Koshigaya 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.

AI
Saitama Prefectural Citizens Health and Welfare Village (Park)
82 Kitaushiroya Koshigaya, Saitama 343-0854 Japan
4.2

Saitama Prefectural Citizens Health and Welfare Village is most popular around 1 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Soka Park (Park)
2-chome-17-1008 Teshirocho Sōka, Saitama 340-0021 Japan
3.9

Soka Park is most popular around 2 PM on Saturdays.

Google Maps

Dewa Park (Park)
4 Chome-222 Shichizacho Koshigaya, Saitama 343-0851 Japan
3.8

Dewa Park is most popular around 1 PM on Saturdays. Visitors usually stay up to 2,5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Koshigayaryutsu Park (Park)
3 Chome-5-4 Ryutsudanchi Koshigaya, Saitama 343-0824 Japan
3.1

Koshigayaryutsu Park is most popular around 8 AM on Fridays. Visitors usually stay up to 2 hours here. It's most quiet on Sundays.

Google Maps

Koshigaya Park (Park)
3 Chome-1 Mashibayashi Koshigaya, Saitama 343-0011 Japan
3.7

Koshigaya Park is most popular around 10 AM on Sundays. Visitors usually stay up to 4 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Sagigo Number 5 Park (Campbelltown Park) (Park)
5 Chome-10 Higashiosawa Koshigaya, Saitama 343-0022 Japan
3.9

Sagigo Number 5 Park (Campbelltown Park) is most popular around 10 AM on Tuesdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Wednesdays.

Google Maps

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