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

Best and most fun things to do in Pingzhen 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
(Other)
No. 61-1號
3.9

Yongchuan Beef Noodle Restaurant is most popular around 11 AM on Sundays. Visitors usually stay 25 min here. It's most quiet on Mondays.

Humble, 24-hour indoor/outdoor noodle shop specialized in traditional Taiwanese beef noodle soup.

For more info visit the website or checkout Google Maps.

(Japanese restaurant)
320, Taiwan, Taoyuan City, Zhongli District, Xingguo Village, Xinsheng Rd, 123號
4.8

米炭火燒肉小酒館(中壢店) is most popular around 7 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Shopping)
No. 55, Zhongbei Rd, Zhongli District
4.2

POYA Zhongli Chungyuan Store is most popular around 7 PM on Fridays. Visitors usually stay 25 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Chinese restaurant)
320, Taiwan, Taoyuan City, Zhongli District, Xinsheng Rd, 109號
3.0

楊記美食小吃城 is most popular around 8 PM on Sundays. Visitors usually stay 20 min here. It's most quiet on Tuesdays.

Google Maps

(Restaurant)
320, Taiwan, Taoyuan City, Zhongli District, Xingnan Village, Xinsheng Rd, 192號
4.0

台灣G湯-中壢店 is most popular around 9 PM on Fridays. Visitors usually stay 45 min here. It's most quiet on Wednesdays.

Google Maps

(Park)
中央里 Zhongli District
3.9

Gongqi Park is most popular around 7 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

Google Maps



Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Pingzhen, 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.