Fun things to do in Pingzhen (TW)

Best and most fun things to do in Pingzhen : 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.

Xinfu Park (Park)
環南路 Zhongfeng Rd, Pingzhen District Taoyuan City, Taiwan 324
4.1

Xinfu Park is most popular around 7 AM on Mondays. Visitors usually stay up to 1.5 hours here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

85度C咖啡蛋糕飲料麵包(平鎮義民店) (Cafe)
324, Taiwan, Taoyuan City, Pingzhen District, Yimin Rd, 148號
3.4

85度C咖啡蛋糕飲料麵包(平鎮義民店) is most popular around 4 PM on Tuesdays. Visitors usually stay 10 min to 1.5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Longde Park (Park)
Longyong Rd, Zhongli District
3.8

It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

cama café Zhonghe Jiuhe Shop (Shopping)
No. 9號, Jiuhe 2nd St, Zhongli District
4.0

cama café Zhonghe Jiuhe Shop is most popular around 6 PM on Fridays. Visitors usually stay 10-45 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

85度C咖啡蛋糕飲料(平鎮文化店) (Cafe)
324, Taiwan, Taoyuan City, Pingzhen District, Lane 24, Wenhua St, 2號
3.9

85度C咖啡蛋糕飲料(平鎮文化店) is most popular around 3 PM on Saturdays. Visitors usually stay up to 30 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

和風會館日式涮涮鍋 (Japanese restaurant)
320, Taiwan, Taoyuan City, Zhongli District, Lane 157, Cihuisan St, 2號
3.6

和風會館日式涮涮鍋 is most popular around 6 PM on Sundays. 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.