Neighbourhood · Nerima

Oizumi-gakuen

大泉学園

Higashi-Oizumi on both sides of Oizumi-gakuen Station: shops and fine homes to the north, quiet streets to the south

Among the 99 Tokyo neighbourhoods, Oizumi-gakuen ranks 94th for everyday convenience (97th for transit, 90th for everyday shopping and 77th for clinics and pharmacies) and 45th for street environment (33rd for cleanliness, 20th for buildings, 62nd for sidewalks and 31st for greenery).

Compared with the 99 Tokyo neighbourhoods in this guide (scores 0–10)

Street Environment7.3No. 45

Cleanliness9.1No. 33

Buildings8.1No. 20

Sidewalks4.9No. 62

Greenery7.1No. 31

Convenience7.1No. 94

Transit6.0No. 97

Everyday shopping7.7No. 90

Healthcare8.8No. 77

Nearby neighbourhoods

The closest neighbourhoods in the same city.

Shakujii-koenThe Shakujii-machi residential blocks between Shakujii-koen Station and Shakujii Pond NerimaThe Nerima and Toyotama-Kita residential streets around Nerima Station EkodaThe student town between Nihon University College of Art, Musashi University and the Ekoda market NarimasuThe station blocks and south-exit shopping streets around Tobu Narimasu and Chikatetsu-Narimasu Stations Nishi-OgikuboThe antique shops and independent stores around Nishi-Ogikubo Station and the leafy homes of Shoan

81 blocks · Curated boundary · Data version 2026-09-28

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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Oizumi-gakuen

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