The first place settled in Tama New Town, with footbridges and walkways linking the housing estates, parks and schools
The closest neighborhoods in the same city.
The first residents of the new town moved into this area in 1971. Nagayama Station sits in a valley between hills, with pedestrian paths and roads separated by level, following the terrain. From the roof of the Greenade Nagayama shopping center, three pedestrian bridges extend out, connecting to pedestrian-only paths that cross through the housing complex to reach parks and schools.
The whole of Tama New Town (a large residential town in the Tokyo suburbs) is designed this way, so you never have to cross a road on foot from home to the station, parks, or schools. In 2020, nearly nine out of ten households lived in multi-unit housing, and those 65 and older made up about 25%, lower than Tama City's 29%. About four out of ten households lived alone, and another roughly 16% lived in public, UR, or company housing.
Lots of parks and green space were left between the housing complexes. Based on our street photos, greenery ranks 19th out of 395 neighborhoods in Tokyo, the best of the seven categories for this neighborhood. Cleanliness also ranks 75th.
In spring, cherry trees line the banks of the Kotta River, running about 3 kilometers from Nagayama all the way to Tama Center. Back at the station, the Keio and Odakyu Nagayama Stations sit side by side, with the station buildings almost joined together, making transfers easy; both the Keio Special Express and Odakyu Express stop here.
Most of the housing complexes were built in the 1970s, and buildings rank 383rd, the weakest of the seven categories. The station sits at the bottom of the valley while the multi-unit housing is up on the hill, with a difference in elevation between the two. There is a university hospital north of the station; we mainly looked at how many clinics and pharmacies are within walking distance of homes, and healthcare ranks 369th.
Nagayama was originally a small local name within the old Kotta area, derived from the nearby Kaminagayama and Shimonagayama. When the first residents moved into the housing complex in March 1971, the railway wasn't open yet, so they had to take a bus to Seiseki-Sakuragaoka Station, and the area was mockingly called an "island on land". The stations for both lines didn't open until 1974.
The housing complexes built in 1971 later had their turn for redevelopment. The 640 units built in Suwa 2-chome in 1971 were entirely rebuilt, becoming a 1,249-unit building in 2013.
According to a plan announced by the Tokyo Metropolitan Government and Tama City in March 2024, a review of project implementation around Nagayama Station is scheduled to begin in fiscal year 2026. In December 2025, UR added 591 units of the Nagayama housing complex to its list of planned redevelopment projects to begin. The university hospital north of the station originally planned to relocate and rebuild in Suwa 2-chome, but this was halted in 2024 due to funding issues; in January 2026, discussions were restarted on rebuilding at Nagayama instead.
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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