Fun things to do on Thursday night in Kaohsiung (TW)

Best and most fun things to do in Kaohsiung on Thursday night: 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
(Chinese restaurant)
No. 118, Xingzhong 2nd Rd, Lingya District
4.0

Lao Er Tui Gu fan is most popular around 10 PM on Fridays. Visitors usually stay 20-45 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Tourist destination)
Kaohsiung Taiwan, Province of China
4.3

WeiWu Mi Mi Village is most popular around 9 PM on Saturdays. Visitors usually stay up to 4 hours here. It's most quiet on Tuesdays.

Google Maps

(Japanese restaurant)
813, Taiwan, Kaohsiung City, Zuoying District, Liwen Rd, 82號
3.8

口福黑輪 is most popular around 9 PM on Wednesdays. Visitors usually stay 30 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Park)
Hedi Rd, Sanmin District
4.3

Heti Park is most popular around 5 PM on Saturdays. Visitors usually stay up to 4 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Other)
807, Taiwan, Kaohsiung City, Sanmin District, Minzu 1st Rd, 597號
3.6

新庄仔清粥小菜 is most popular around 7 PM on Mondays. Visitors usually stay 25 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

(Shopping)
No. 286號, Linsen 1st Rd, Sanmin District
4.2

Showba Sanmin Hebei is most popular around 8 PM on Mondays. Visitors usually stay 10 min 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 Kaohsiung, Taiwan. 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.