Neighborhood · Tama

Wada

和田

A hilly district in Tama City but closer to Hino City, with the UR Mogusa estate among its old houses

Nearby neighborhoods

The closest neighborhoods in the same city.

Next ›Seiseki-SakuragaokaHillside residential area from "Whisper of the Heart", with Shinjuku's towers visible on clear days NagayamaThe first place settled in Tama New Town, with footbridges and walkways linking the housing estates, parks and schools Tama CenterChildren walk to school, adults walk to the station — Tama Center's new town separates footpaths from roads on different levels RenkojiA hilly old village where Emperor Meiji once hunted, right next to Tokyo Metropolitan Sakuragaoka Park ToyogaokaA hillside danchi lived in since 1976, where Toyogaoka Minami Park has a large pond, a fountain and a jogging track

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What's here

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Tama Daini Elementary SchoolCatchment covers 67%
Aiwa Elementary SchoolNearby・Catchment covers 25%
Higashiteragata Elementary SchoolNearby・Catchment covers 7%
Shichishomidori Elementary SchoolNearby・Catchment covers 1%
Wada Junior High School (Tama)Catchment covers 79%
Higashiatago Junior High SchoolNearby・Catchment covers 20%
Misawa Junior High SchoolNearby・Catchment covers 1%
Teikyo UniversityNearby
Teikyo University Junior CollegeNearby
Sugino Fashion CollegeNearby
Myojo UniversityNearby
Koseiso Hospital
和田公園

Hospitals with inpatient beds (2020 data), public elementary and junior high schools whose catchment covers this area, high schools and universities within 1 km, stations, parks of 1 ha or more, and large shopping malls and department stores. Many Tokyo junior high students attend private schools, so junior high catchments are only a guide.

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Maps show the shops and the sights. What a street is like, you only know by walking it. TidyMap uses AI street imagery analysis and public facility data to turn each area's street environment and everyday convenience into something you can compare. Search an address and look at the street outside first.

Street-level samplingOne street-level photo every 50 m along each street (each grid shows its capture date and source)
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Plus everyday convenienceAccess to transit, shopping and healthcare from public facility data, combined with the street environment into the overall score

How to read it: yellow = poor, blue = good; grey = not enough data

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