Fun things to do Hachinohe (JP)

Popular days & hours to visit attractions in Hachinohe Japan .

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

AI
(Other)
4 Chome-5-11 Ruike
3.5

Kappa Sushi is most popular around 7 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Other)
Japan
3.5

Aeon style Hachinohe-Shiroshita-ten is most popular around 4 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Other)
4 Chome-12-10 Ruike
3.9

Yakiniku Restaurant Isshintei Hachinohe Ruike Branch is most popular around 6 PM on Saturdays. Visitors usually stay up to 1.5 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

(Other)
4 Chome-1-1 Niidanishi
4.1

Niida Park is most popular around 12 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Tuesdays.

8.6-hectare park with tennis courts, an indoor ice rink & sports fields, plus a playground & trails.

For more info visit the website or checkout Google Maps.

(Other)
4 Chome-2-1 Shiroshita
4.0

Starbucks Coffee Hachinohe-Shiroshita-ten is most popular around 2 PM on Sundays. Visitors usually stay 5-45 min here. It's most quiet on Mondays.

Welcoming coffeehouse with handcrafted coffee, espresso & tea, plus breakfast, lunch & pastries.

For more info visit the website or checkout Google Maps.

(Other)
3 Chome-4-5 Nejo
3.5

Sukiya is most popular around 12 PM on Sundays. Visitors usually stay 20 min 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 Hachinohe, 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.