Fun things to do in Naha (JP)

Best and most fun things to do in Naha : 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
(Tourist destination)
3 Chome-2-10 Makishi
4.2

Naha Kokusai Dori Shopping Street is most popular around 2 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
4 Chome-4-9 Omoromachi
4.2

San-A Naha Main Place is most popular around 3 PM on Sundays. Visitors usually stay 30 min to 2,5 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
Hachimine Crystal 3階
4.8

Ryukyu no Ushi Naha Kokusai Dori is most popular around 7 PM on Fridays. Visitors usually stay 1-2 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping center)
1 Chome-1-1 Kumoji
4.0

RYUBO Department Store is most popular around 6 PM on Fridays. Visitors usually stay 25 min to 2,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Museum)
3 Chome-1-1 Omoromachi
4.3

Okinawa Prefectural Museum and Art Museum (Okimyu) is most popular around 2 PM on Saturdays. Visitors usually stay 1-3,5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Ramen restaurant)
2 Chome-16-10 Makishi
3.9

Ramen Danbo is most popular around 8 PM on Fridays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Wednesdays.

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 Naha, 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.