Neighbourhood · Wufeng District

Wufeng Centre

霧峰市區

Around the old provincial assembly and Asia University

Compared with the 14 Taichung neighbourhoods in this guide (scores 0–10)

Street Environment6.0No. 13

Cleanliness7.8No. 10

Buildings5.5No. 13

Sidewalks5.2No. 14

Greenery5.7No. 10

Convenience4.7No. 14

Transit2.7No. 14

Everyday shopping5.7No. 13

Healthcare7.4No. 13

Nearby neighbourhoods

The closest neighbourhoods in the same city.

Dali CentreTown centre along Zhongxing Road NCHUAround the university and Guoguang Road Taichung StationThe old town around the station and Miyahara Wuri Town CentreThe old town centre around Wuri station Art Museum ParkwayThe art museum and its restaurant street

125 blocks · 4 villages · Data version 2026-09-24

How are these measured?

Compared against the Taichung neighbourhoods in this guide; metrics without enough data are not ranked. Shopping counts convenience stores plus the nearer of a supermarket or a traditional market (public and private retail markets); night markets, vendor zones and shopping-street shops are not counted. Transit is rail-first with a lower weight for buses.

TidyMap rates the street environment and everyday convenience. It does not assess the home itself, safety, noise or actual living experience. About data limits

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The apartment looks good. What about the street? TidyMap uses AI street imagery analysis and public facility data to turn nearby convenience and the street environment into something you can compare. Search an address you're considering to see the neighborhood around it.

Street-level samplingOne street-level photo every 50 m along each street (each grid shows its capture date and source)
AI scoringAn AI vision model rates cleanliness, buildings, sidewalks and greenery; their average is the street environment score
Plus everyday convenienceAccess to transit, shopping and healthcare from public facility data, combined with the street environment into the overall score (weights on the methodology page)

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

TidyMap rates the street environment and everyday convenience. It does not assess the home itself, safety, noise or actual living experience. Street environment scores use AI assessments of imagery; convenience scores use public facility data.

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Wufeng Centre

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