Neighborhood · Wugu District

Wugu Zhouziyang

五股・洲子洋

Living in neat new blocks, with evening walks to catch the breeze at New Taipei Metropolitan Park by the floodway

Nearby neighborhoods

The closest neighborhoods in the same city.

Next ›Wugu ChengzhouChengtai Road is where you go for groceries — old market and supermarket strung together along the street Wugu Gongshang RoadAt dusk, the market at the end of Gongshang Road fills with people — old neighbours who've lived here for decades Wugu ShuiduiAt night, walk up to Shuidui Viewing Park and the lights of Greater Taipei are spread out below you Luzhou HuiyaoLife on Chang'an Street, where groceries, meals and the doctor are all close by Luzhou NangangziIn the park amid the grid of streets, the willows came from the banks of the old vegetable fields

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What's here

No hospital within 1.5 km

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五股國小Nearby・Shared catchment
成州國小Nearby・Shared catchment
五股國中Nearby・Catchment covers 100%
疏洪圳邊公園

NHI-contracted hospitals, public elementary and junior high schools whose catchment covers this area (estimated from the New Taipei City Education Department's 2026 school-year catchment lists, treating every neighborhood in a village as equal in size; "Shared catchment" marks a free-choice zone where families can pick between two or more schools), high schools and universities within 1 km, stations, parks of 1 ha or more (OpenStreetMap), and large shopping malls and department stores (OpenStreetMap).

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Maps show the shops and the sights. What a street is like, you only know by walking it. TidyMap uses AI street imagery analysis and public facility data to turn each area's street environment and everyday convenience into something you can compare. Search an address and look at the street outside first.

Street-level samplingOne street-level photo every 50 m along each street (each grid shows its capture date and source)
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Plus everyday convenienceAccess to transit, shopping and healthcare from public facility data, combined with the street environment into the overall score

How to read it: yellow = poor, blue = good; grey = not enough data

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