Best things to do Hsinchu (TW)
Popular days & hours to visit attractions in Hsinchu Taiwan .
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated sightseeing spots.
Minghu Park (Park)
No. 28號, Lane 775, Minghu Rd, East DistrictMinghu Park is most popular around 10 AM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.
必勝客 新竹經國店 (Other)
300, Taiwan, Hsinchu City, North District, Section 2, Jingguo Rd, 259號必勝客 新竹經國店 is most popular around 7 PM on Fridays. Visitors usually stay 10 min to 2 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Houzhan Park (Park)
No. 133, Nanda Rd, East DistrictHouzhan Park is most popular around 7 PM on Thursdays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.
National Yang Ming Chiao Tung University Library (Library)
No. 1001, Daxue Rd, East DistrictNational Yang Ming Chiao Tung University Library is most popular around 4 PM on Mondays. Visitors usually stay up to 2.5 hours here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
Jinya Park (Park)
300, Taiwan, Hsinchu City, North District, Jinya E St 金雅七街Jinya Park is most popular around 10 AM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Mondays.
Chituqi Park (Park)
No. 2號, Jianzhong Rd, East DistrictChituqi Park is most popular around 6 PM on Tuesdays. Visitors usually stay up to 30 min here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
Special pages for Hsinchu Taiwan
View on map
Map view and advanced filters
Heatmap for best things to do hsinchu (tw)
Nearby cities and areas
Also checkout sightseeing spots in other cities and areas nearby Hsinchu
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Hsinchu, 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.