Things to do in Taoyuan District (TW)

Crowd levels and popular times for Taoyuan District : 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.

福柒涮涮鍋-桃園藝文店 (Chinese restaurant)
330, Taiwan, Taoyuan City, Taoyuan District, Section 1, Daxing W Rd, 225號
4.5

福柒涮涮鍋-桃園藝文店 is most popular around 6 PM on Saturdays. Visitors usually stay 2 hours here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

大埔鐵板燒 建國店 (Japanese restaurant)
330, Taiwan, Taoyuan City, Taoyuan District, Jianguo Rd, 238號
4.7

大埔鐵板燒 建國店 is most popular around 7 PM on Sundays. Visitors usually stay 45 min here. It's most quiet on Wednesdays.

Google Maps

Guishan First Riverside Park (Park)
Tongxin 2nd Rd, Guishan District
4.2

Guishan First Riverside Park is most popular around 7 PM on Fridays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Wenzhou Park (Park)
No. 65號, Wenzhou St, Taoyuan District
4.3

Wenzhou Park is most popular around 6 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Qingxi Park (Park)
Section 2, Sanmin Rd, Taoyuan District
4.0

Qingxi Park is most popular around 4 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

Google Maps

江夏麵食 (Ramen restaurant)
330, Taiwan, Taoyuan City, Taoyuan District, Xianfu Rd, 320號
4.2

江夏麵食 is most popular around 6 PM on Saturdays. Visitors usually stay 30 min 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 Taoyuan District, 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.