Fun things to do Nerima (JP)

Popular days & hours to visit attractions in Nerima Japan .

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

Nukui Yokujo (Other)
ハイツ幸栄 2 Chome-20-16 Nukui Nerima City, Tokyo 176-0021 Japan
3.9

Nukui Yokujo is most popular around 6 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kawabayu (Other)
3 Chome-15-14 Sakuradai Nerima City, Tokyo 176-0002 Japan
4.2

Kawabayu is most popular around 9 PM on Wednesdays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Suisha Park (Park)
1 Chome-17-2 Yotsuba Itabashi City, Tokyo 175-0084 Japan
3.5

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

For more info visit the website or checkout Google Maps.

Bijutsunomori Greenery (Park)
練馬区立美術館・図書館 1 Chome-36-16 Nukui Nerima City, Tokyo 176-0021 Japan
4.1

Bijutsunomori Greenery is most popular around 10 AM on Sundays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Itabashi Wholesale Market (Other)
板橋市場 6 Chome-1-5 Takashimadaira Itabashi City, Tokyo 175-0082 Japan
3.3

Itabashi Wholesale Market is most popular around 5 AM on Thursdays. Visitors usually stay 20 min to 1,5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Nerima Kuritsu Miharadai Park (Park)
3 Chome-7-34 Miharadai Nerima City, Tokyo 177-0031 Japan
3.7

Nerima Kuritsu Miharadai Park is most popular around 6 PM 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.

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