Neighbourhood · Nangang District

Academia Sinica & Jiuzhuang

中研院・舊莊

Homes along Yanjiuyuan Road beside Academia Sinica and Hu Shih Park

In the Academia Sinica and Jiuzhuang area, greenery ranks 12th, largely thanks to the extensive Academia Sinica campus, but everyday convenience only manages 57th.

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

Street Environment6.6No. 24

Cleanliness7.6No. 40

Buildings5.6No. 30

Sidewalks6.6No. 30

Greenery6.5No. 12

Convenience5.8No. 57

Transit4.3No. 54

Everyday shopping7.0No. 50

Healthcare7.1No. 56

Nearby neighbourhoods

The closest neighbourhoods in the same city.

Nangang StationThree rail systems in one station; the surroundings are still filling in Kunyang & YuchengBoth sides of Kunyang station: Nangang Park and new towers on old factory land DonghuResidential east end of Neihu at the tail of the Wenhu line TanmeiNeihu south of the Keelung River, around Tanmei Elementary and Chengmei Bridge Yongchun & HoushanpiYongchun and Houshanpi stations and Hulin Street market, from Keelung Rd east to Dongxin St in Nangang

89 blocks · Curated boundary · 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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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.

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