Neighbourhood · Suginami

Ogikubo

荻窪

The shopping streets on both sides of Ogikubo Station and the Amanuma and Minami-Ogikubo housing

Among the 45 Tokyo neighbourhoods, Ogikubo ranks 38th for everyday convenience (38th for transit, 37th for everyday shopping and 29th for clinics and pharmacies) and 34th for street environment (26th for cleanliness, 34th for buildings, 36th for sidewalks and 32th for greenery).

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

Street Environment7.0No. 34

Cleanliness8.9No. 26

Buildings7.9No. 34

Sidewalks4.6No. 36

Greenery6.7No. 32

Convenience7.8No. 38

Transit6.8No. 38

Everyday shopping8.2No. 37

Healthcare9.1No. 29

Nearby neighbourhoods

The closest neighbourhoods in the same city.

KoenjiWalking distance of Koenji Station on the JR Chuo Line, with shopping streets north and south of the station KichijojiFrom the shopping streets on both sides of Kichijoji Station down to the Inokashira Park entrance NakanoNakano Sun Mall and Broadway north of the station, with Nakano 2 and 3 chome to the south MeidaimaeThe Matsubara blocks around Meidaimae Station and Meiji University's Izumi campus NerimaThe Nerima and Toyotama-Kita residential streets around Nerima Station

91 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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Ogikubo

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