Fun things to do Niiza (JP)

Popular days & hours to visit attractions in Niiza Japan .

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

Shimanoue Park (Park)
4 Chome-18-30 Hizaoricho Asaka, Saitama 351-0014 Japan
4.1

Shimanoue Park is most popular around 9 AM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Niizaekiminamiguchi Park (Park)
5 Chome-2-2番地先 Nobitome Niiza, Saitama 352-0011 Japan
3.5

Niizaekiminamiguchi Park is most popular around 1 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

朝霞市立図書館北朝霞分館 (Library)
Japan 〒351-0033 Saitama, Asaka, Hamasaki, 669-1
3.7

朝霞市立図書館北朝霞分館 is most popular around 1 PM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Niiza City Central Library (Library)
1 Chome-1-2 Nobitome Niiza, Saitama 352-0011 Japan
3.9

Niiza City Central Library is most popular around 11 AM on Sundays. Visitors usually stay up to 1.5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Nishibori 1-Chome Fureai Park (Park)
1 Chome-9-1 Nishibori Niiza, Saitama 352-0031 Japan
3.3

Nishibori 1-Chome Fureai Park is most popular around 11 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Nobidomekamikitafureai Park (Park)
5 Chome-12-9 Nobitome Niiza, Saitama 352-0011 Japan
3.6

Nobidomekamikitafureai Park is most popular around 6 PM on Sundays. 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 Niiza, 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.