Things to do in Tama (JP)

Crowd levels and popular times for Tama : 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.

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Tamaya (Ramen restaurant)
4 Chome-8-12 Atago Tama, Tokyo 206-0041 Japan
3.9

Tamaya is most popular around 12 PM on Fridays. Visitors usually stay 25 min here. It's most quiet on Thursdays.

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Ginryū (Ramen restaurant)
5 Chome-9-11 Sekido Tama, Tokyo 206-0011 Japan
4.1

Ginryū is most popular around 12 PM on Fridays. Visitors usually stay 30 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Parthenon Tama (Concert hall)
2 Chome-35 Ochiai Tama, Tokyo 206-0033 Japan
3.9

Parthenon Tama is most popular around 2 PM on Sundays. It's most quiet on Tuesdays.

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For more info visit the website or checkout Google Maps.

Maghreb EAST (Shopping center)
1 Chome-39-1 Ochiai Tama, Tokyo 206-0033 Japan
3.5

Maghreb EAST is most popular around 1 PM on Saturdays. Visitors usually stay 30 min to 1.5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Pizzeria BASHAMICHI @Inagi-Wakabadai (Italian restaurant)
4 Chome-1 Wakabadai Inagi, Tokyo 206-0824 Japan
3.8

Pizzeria BASHAMICHI @Inagi-Wakabadai is most popular around 12 PM on Sundays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Wakabadai Park (Park)
1 Chome-19-1 Wakabadai Inagi, Tokyo 206-0824 Japan
4.2

Wakabadai Park is most popular around 1 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 Tama, 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.