Fun things to do in Bade (TW)

Best and most fun things to do in Bade : 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.

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龜梨麵花 (Ramen restaurant)
334, Taiwan, Taoyuan City, Bade District, Gongyuan Rd, 40號
3.9

龜梨麵花 is most popular around 7 PM on Thursdays. Visitors usually stay 45 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

韓國板門烤肉 (Asian restaurant)
334, Taiwan, Taoyuan City, Bade District, Yiyong St, 13號
3.7

韓國板門烤肉 is most popular around 7 PM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

Google Maps

Mercuries Beef Noodle Restaurant (Ramen restaurant)
No. 938, Section 1, Jieshou Rd, Bade District Taoyuan City, Taiwan 334
3.8

Mercuries Beef Noodle Restaurant is most popular around 12 PM on Saturdays. Visitors usually stay 30 min here. It's most quiet on Wednesdays.

Google Maps

Jianxin Park- non smoking Area (Park)
No. 5陽明十二街46巷 Taoyuan District Taoyuan City, Taiwan 330
4.2

Jianxin Park- non smoking Area is most popular around 5 PM on Tuesdays. Visitors usually stay up to 2 hours here. It's most quiet on Thursdays.

Google Maps

Jin Yuh Tarng (Shopping)
忠孝街 桃園市
4.2

Jin Yuh Tarng is most popular around 7 PM on Tuesdays. Visitors usually stay 15 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

simple life (Restaurant)
No. 82, Dongyong St, Bade District Taoyuan City, Taiwan 334
3.3

simple life is most popular around 1 PM on Sundays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.

Google Maps

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