Fun things to do in Kodaira (JP)

Best and most fun things to do in Kodaira : 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.

AI
(Other)
1 Chome-2494 Ogawacho Kodaira, Tokyo 187-0032 Japan
3.9

Terme Ogawa is most popular around 6 PM on Sundays. Visitors usually stay 1,5-2,5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
4 Chome-28-30 Onumacho
3.7

Bikkuri Donkey is most popular around 7 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Ramen restaurant)
1 Chome-461-1 Suzukicho Kodaira, Tokyo 187-0011 Japan
3.4

Ramen Yokohamaya is most popular around 1 PM on Sundays. Visitors usually stay 30 min here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
183-1 Nakamachi Kodaira, Tokyo 187-0042 Japan
3.6

Yamada Udon Kodaira-Nakamachi is most popular around 12 PM on Saturdays. Visitors usually stay 25 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Restaurant)
5 Chome-1-1 Josuihoncho
3.6

Coco's Restaurant is most popular around 7 PM on Sundays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
5 Chome-33-17 Honcho
3.6

しゃぶ葉 小金井本町店 is most popular around 7 PM on Saturdays. Visitors usually stay 2 hours here. It's most quiet on Thursdays.

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 Kodaira, 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.