Neighbourhood · Wenshan District

Muzha

木柵

Around Muzha Market and the district civic centre on Baoyi Rd and Muzha Rd Sec. 3

Muzha ranks 21st for everyday shopping and 28th for healthcare, but only 56th for public transport.

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

Street Environment6.3No. 33

Cleanliness7.7No. 32

Buildings5.5No. 35

Sidewalks6.5No. 37

Greenery5.7No. 41

Convenience6.4No. 52

Transit3.8No. 56

Everyday shopping8.2No. 21

Healthcare8.9No. 28

Nearby neighbourhoods

The closest neighbourhoods in the same city.

Muxin Road & Jingmei Girls' HighMuxin Road homes in a bend of the Jingmei River, with Muxin Market at the centre Wanfang CommunityA hillside estate of apartment blocks above Wanfang Community station Examination Yuan & Shih HsinHillside homes between the Examination Yuan, the national exam halls and Shih Hsin University Wanfang Hospital & XinhaiFrom Wanfang Hospital to Xinhai station: the hospital, colleges and Xinglong Rd Sec. 3 shops XinglongXinglong Market, Wenshan Forest Park and the Xianjiyan trailheads along Xinglong Rd Sec. 2

124 blocks · 6 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

← See other areas

Check the neighborhood before you rent or buy.

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.

Content is for personal browsing. Official TidyMap neighborhood cards may be shared as generated; anyone using one commercially is responsible for their own compliance (sharing guidelines). Bulk extraction, APIs and dataset redistribution require a data licence. This site uses Google Analytics and Cloudflare Analytics.