Neighbourhood · Shibuya

Oku-Shibuya

奥渋谷

Kamiyamacho and Tomigaya between Kamiyama-dori and Yoyogi-koen Station, the small-shop back streets behind Shibuya

Among the 127 Tokyo neighbourhoods, Oku-Shibuya ranks 57th for everyday convenience (46th for transit, 60th for everyday shopping and 105th for clinics and pharmacies) and 50th for street environment (69th for cleanliness, 36th for buildings, 72nd for sidewalks and 24th for greenery).

Compared with the 127 Tokyo neighbourhoods in this guide (scores 0–10)

Street Environment7.3No. 50

Cleanliness9.0No. 69

Buildings8.0No. 36

Sidewalks5.0No. 72

Greenery7.3No. 24

Convenience8.1No. 57

Transit7.5No. 46

Everyday shopping8.6No. 60

Healthcare8.5No. 105

Nearby neighbourhoods

The closest neighbourhoods in the same city.

Yoyogi-UeharaThe Uehara and Nishihara residential streets on both sides of Yoyogi-Uehara Station Shinsen and ShotoThe Shoto mansion streets and Nanpeidai on the hill around Shinsen Station, just west of Shibuya Omotesando / JingumaeThe low-rise Jingumae residential streets one block behind the avenues, from Harajuku to Omotesando DaikanyamaThe boutique blocks around Daikanyama Station and Kyu-Yamate-dori SendagayaThe quiet residential blocks from Sendagaya Station to Kita-Sando, between Shinjuku Gyoen and the Jingu Gaien

46 blocks · Curated boundary · Data version 2026-09-29

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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