Neighbourhood · Wenshan District

Muxin Road & Jingmei Girls' High

木新路・景美女中

Muxin Road homes in a bend of the Jingmei River, with Muxin Market at the centre

Muxin Road & Jingmei Girls' High School: everyday shopping ranks 25th; the MRT station is further away, with public transport only reaching 58th.

Compared with the 59 Taipei neighbourhoods in this guide (scores 0–10)

Street Environment6.3No. 37

Cleanliness7.6No. 38

Buildings5.3No. 46

Sidewalks6.5No. 34

Greenery5.8No. 37

Convenience5.9No. 55

Transit3.0No. 58

Everyday shopping8.1No. 25

Healthcare8.6No. 38

Nearby neighbourhoods

The closest neighbourhoods in the same city.

MuzhaAround Muzha Market and the district civic centre on Baoyi Rd and Muzha Rd Sec. 3 Examination Yuan & Shih HsinHillside homes between the Examination Yuan, the national exam halls and Shih Hsin University Wanfang CommunityA hillside estate of apartment blocks above Wanfang Community station XinglongXinglong Market, Wenshan Forest Park and the Xianjiyan trailheads along Xinglong Rd Sec. 2 Wanfang Hospital & XinhaiFrom Wanfang Hospital to Xinhai station: the hospital, colleges and Xinglong Rd Sec. 3 shops

87 blocks · 5 villages · Data version 2026-09-29

How are these measured?

Compared against the Taipei 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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