Best things to do Komae (JP)

Popular days & hours to visit attractions in Komae Japan .

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

Noborito Dai 1 Park (Park)
228 Noboritoshinmachi Tama Ward, Kawasaki, Kanagawa 214-0013 Japan
3.5

Noborito Dai 1 Park is most popular around 8 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Chofu City Central Library (Library)
2 Chome-33-1 Kojimacho Chofu, Tokyo 182-0026 Japan
4.2

Chofu City Central Library is most popular around 2 PM on Saturdays. Visitors usually stay up to 2 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Kamifuda Park (Park)
1 Chome-24-1 Chofugaoka Chofu, Tokyo 182-0021 Japan
3.7

Kamifuda Park is most popular around 5 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Fridays.

Google Maps

Fudo Bridge (Bridge)
3 Chome-2 Seijo Setagaya City, Tokyo 157-0066 Japan
4.1

Fudo Bridge is most popular around 8 PM on Fridays. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Kawasaki Shiritsu Takatsu Library (Library)
4 Chome-16-3 Mizonokuchi Takatsu Ward, Kawasaki, Kanagawa 213-0001 Japan
3.9

Kawasaki Shiritsu Takatsu Library 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.

Kinuta Library (Library)
3 Chome-10-4 Soshigaya Setagaya City, Tokyo 157-0072 Japan
3.8

Kinuta Library is most popular around 3 PM on Sundays. Visitors usually stay up to 1 hour 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 Komae, 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.