The old Tokaido street of Shinagawa-juku, with Tokyo's tallest man-made Mount Fuji in the shrine grounds
The closest neighborhoods in the same city.
Shops line both sides of the old Tokaido in Kita-Shinagawa 1-chome and 2-chome, interspersed with temples and shrines, while the rest of the area is mostly residential. Outside the north exit of Shimbamba Station is the approach shopping street leading to Shinagawa Shrine, and south of the exit, across the Meguro River, is a residential street. Shinagawa Fuji at Shinagawa Shrine stands about 15 meters tall, making it the tallest fujizuka (a hill built to resemble Mount Fuji) in Tokyo.
The area around the old Shinagawa-juku was barely touched by the bombing in World War II. After the Anti-Prostitution Law took effect in 1958, the pleasure quarter in Kita-Shinagawa was converted into factory dormitories and apartments, and a shopping street gradually formed along the road.
The area from the northern part of 3-chome, where Shinagawa Shrine stands, through 4-chome, together with 5-chome outside the neighborhood, is called Gotenyama, a well-known upscale residential area. In 2020, six out of every ten households in this neighborhood were single-person households, slightly higher than the average for Shinagawa City as a whole.
Public transit ranks 47th out of 395 neighborhoods in Tokyo, the strongest ranking in this neighborhood's profile. The neighborhood has Keikyu's Kita-Shinagawa Station and Shimbamba Station; the stop before Kita-Shinagawa is Shinagawa Station, but both stations are served only by Local trains.
Ebara Shrine is in Kita-Shinagawa 2-chome; on the early-June weekend of the Tenno Festival, the mikoshi is carried into the sea off Tennozu, outside the neighborhood.
Everyday shopping ranks 199th out of 395 neighborhoods in Tokyo, the weakest aspect of daily life in this neighborhood. Looking at our street photos, the buildings rank 215th and the greenery ranks 251st, both also in the lower-middle range.
Around Shinagawa-ura (the area covering Kita-Shinagawa 1-chome and Higashi-Shinagawa 1-chome), a redevelopment preparatory association was formed in 2023. The Shinagawa City Office has been drawing up neighborhood development guidelines starting in fiscal 2024. At an opinion exchange meeting in December 2025, some wanted waterfront walkways and flat, wide sidewalks, while others worried, "I want to keep living here, but I won't be able to".
Shinagawa-juku was established in 1601, with the Meguro River as the boundary; the area to the north was Kita-Shinagawa-juku. After the post-station system was abolished in 1872 and the post towns declined, the pleasure quarter in Kita-Shinagawa kept operating.
In 1904, Kita-Shinagawa Station opened at the same time as Kitabamba and Minamibamba stations. When Keikyu was elevated in 1975 and 1976, Kitabamba and Minamibamba were merged into Shimbamba Station.
The roughly 1.7-kilometer stretch of Keikyu line between Sengakuji and Shimbamba is being elevated, with the project running until March 2030 and eliminating 3 level crossings. Once complete, Kita-Shinagawa Station will become an elevated station, and the design of the new station building was finalized in June 2026.
Compared with the 395 Tokyo neighborhoods in this guide (scores 0–10)
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.
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.
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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