Fun things to do Saitama (JP)

Popular days & hours to visit attractions in Saitama Japan .

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated sightseeing spots.

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

Yono Park is most popular around 3 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.

Komaba Sports Park (Park)
2 Chome-1-1 Komaba Urawa Ward, Saitama, 330-0051 Japan
3.9

Komaba Sports Park is most popular around 1 PM on Thursdays. Visitors usually stay up to 2.5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Minuma Nature Park (Park)
Japan 〒336-0973 Saitama, Midori Ward, Nanburyotsuji 450 1
4.1

Minuma Nature Park is most popular around 2 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Mint Museum Saitama (Museum)
1 Chome-190番地22 Kitabukurocho Omiya Ward, Saitama, 330-0835 Japan
4.2

Mint Museum Saitama is most popular around 11 AM on Fridays. Visitors usually stay up to 2 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Gorilla Park (Park)
4341 Shiba Kawaguchi, Saitama 333-0866 Japan
3.9

Gorilla Park is most popular around 3 PM on Tuesdays. Visitors usually stay up to 2 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Kawaguchinishi Park (Park)
3 Chome-1 Kawaguchi Saitama 332-0015 Japan
4.0

Visitors usually stay up to 2 hours here. It's most quiet on Wednesdays.

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.