Things to do in Yangmei (TW)

Crowd levels and popular times for Yangmei : 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.

Map
楊梅運動中心 (Other)
326, Taiwan, Taoyuan City, Yangmei District, Zili St, 48號
4.2

楊梅運動中心 is most popular around 7 PM on Mondays. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

俏東北廣東粥 蚵仔煎 (Restaurant)
326, Taiwan, Taoyuan City, Yangmei District, Dacheng Rd, 13號
4.4

俏東北廣東粥 蚵仔煎 is most popular around 7 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Mondays.

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For more info visit the website or checkout Google Maps.

Yangmei Guishan Park (Park)
No. 43號, Alley 4, Lane 121, Zhongshan Rd, Yangmei District
4.0

Yangmei Guishan Park is most popular around 10 PM on Saturdays. Visitors usually stay up to 45 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Lao Peng Beef Noodle Restaurant (Chinese restaurant)
No. 3號, Xinmei 10th St, Yangmei District
4.0

Lao Peng Beef Noodle Restaurant is most popular around 6 PM on Fridays. Visitors usually stay 30 min here. It's most quiet on Saturdays.

Google Maps

Yangming Park (Park)
No. 41, Lane 390, Section 1, Zhongshan N Rd, Yangmei District
4.2

Yangming Park is most popular around 4 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

珍品炸烤店 (Japanese restaurant)
326, Taiwan, Taoyuan City, Yangmei District, Dacheng Rd, 198號
4.2

珍品炸烤店 is most popular around 11 PM on Saturdays. Visitors usually stay 10 min 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 Yangmei, 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.