Neighbourhood · Setagaya

Futako-Tamagawa

二子玉川

Tamagawa 1–4 chome, from Futako-Tamagawa Station down to the Tama River bank

Among the 45 Tokyo neighbourhoods, Futako-Tamagawa ranks 43th for everyday convenience (40th for transit and everyday shopping and 41th for clinics and pharmacies) and 11th for street environment (14th for cleanliness, 24th for buildings, 21th for sidewalks and 5th for greenery).

Compared with the 45 Tokyo neighbourhoods in this guide (scores 0–10)

Street Environment7.4No. 11

Cleanliness9.0No. 14

Buildings7.9No. 24

Sidewalks5.3No. 21

Greenery7.4No. 5

Convenience7.5No. 43

Transit6.6No. 40

Everyday shopping8.0No. 40

Healthcare8.7No. 41

Nearby neighbourhoods

The closest neighbourhoods in the same city.

KyodoThe shopping streets on both sides of Kyodo Station and Kyodo 1–5 chome SangenjayaThe Taishido lanes and Chazawa-dori around Sangenjaya Station MeidaimaeThe Matsubara blocks around Meidaimae Station and Meiji University's Izumi campus JiyugaokaThe boutique and cafe streets north of Jiyugaoka Station and the lanes behind them Gakugei-DaigakuThe shopping streets east and west of Gakugei-Daigaku Station and the Takaban and Himonya housing

73 blocks · Curated boundary · Data version 2026-09-26

How are these measured?

Compared against the Tokyo 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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Futako-Tamagawa

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