Things to do in Nerima (JP)

Crowd levels and popular times for Nerima : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

Map
Igusa Himawari Park (Park)
4 Chome-8-21 Igusa Suginami City, Tokyo 167-0021 Japan
3.7

Igusa Himawari Park is most popular around 9 PM on Mondays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

MOTIMAHAL (Indian restaurant)
Japan 〒165-0033 Tokyo, Nakano City, Wakamiya, 3 Chome−39−14
3.7

MOTIMAHAL is most popular around 1 PM on Saturdays. It's most quiet on Fridays.

Google Maps

Osaka Ohsho Central Park branch (Chinese restaurant)
2F 4 Chome-10-2 Nakano Nakano City, Tokyo 164-0001 Japan
2.7

It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Butter Coffee Stand (Coffee)
2 Chome-1-1 Arai Nakano City, Tokyo 165-0026 Japan
4.4

Butter Coffee Stand is most popular around 10 AM on Mondays. It's most quiet on Tuesdays.

現在新型コロナ感染症の影響の為、通常営業時間(8:00〜22:00アルコール提供あり)を下記の通り変更(アルコールの販売も停止)しておりますので、お間違えないようお願い致します。

For more info visit the website or checkout Google Maps.

Niku no Mansei - Loop Road 7 Toyotama (Restaurant)
3 Chome-14-3 Toyotamakita Nerima City, Tokyo 176-0012 Japan
3.9

Niku no Mansei - Loop Road 7 Toyotama is most popular around 1 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

立呑風太くん (Japanese restaurant)
Japan 〒166-0001 Tokyo, Suginami City, Asagayakita, 2 Chome−12−5 松寿ビル
3.9

立呑風太くん is most popular around 8 PM on Fridays. It's most quiet on Mondays.

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.