Rail lines and operators
Seibu Tamagawa Line
Seibu Railway
Published residential-land transactions are aggregated across 4 full neighborhoods whose representative points lie within 1.5 km straight-line distance of the station. The neighborhood breakdown appears below.
| Neighborhood | Median / m² | Latest year · samples |
|---|---|---|
| Koyanagicho | JPY 310,063 / m²JPY 310.063K / m² | 2025 · 2 |
| Koremasa | JPY 207,213 / m²JPY 207.213K / m² | 2025 · 2 |
| Shimizugaoka | JPY 326,700 / m²JPY 326.7K / m² | 2024 · 4 |
| Oshitatecho | JPY 293,425 / m²JPY 293.425K / m² | 2025 · 1 |
Each neighborhood uses its most recent transaction year within the five-year dataset, which may differ from the station-area year shown above. The 1.5 km rule uses representative-point distance.
The green circle is a 1.5 km radius; orange points are neighborhood representative points.
Seibu Tamagawa Line
Seibu Railway
Tama-Reien Station 1.15 km · JPY 423,500 / m²JPY 423.5K / m²
Musashinodai Station 1.37 km · JPY 363,000 / m²JPY 363K / m²
Shiraitodai Station 1.43 km · JPY 363,000 / m²JPY 363K / m²
Station location, lines and operators come from the MLIT N02 railway dataset. Station distances are straight-line distances between representative coordinates.
| Date | Neighborhood | Price | Area | Price / m² | Zoning |
|---|---|---|---|---|---|
| 2025-10 | Koremasa | JPY 45M | 230.0 m² | JPY 196,625 / m²JPY 196.625K / m² | — |
| 2025-04 | Oshitatecho | JPY 290M | 1000.0 m² | JPY 293,425 / m²JPY 293.425K / m² | — |
| 2025-04 | Koremasa | JPY 100M | 460.0 m² | JPY 217,800 / m²JPY 217.8K / m² | — |
| 2025-01 | Koyanagicho | JPY 80M | 230.0 m² | JPY 332,750 / m²JPY 332.75K / m² | — |
| 2025-01 | Koyanagicho | JPY 37M | 130.0 m² | JPY 287,375 / m²JPY 287.375K / m² | — |
| Direction | Neighborhoods | Public samples | Median / m² |
|---|---|---|---|
| North | Koyanagicho · Shimizugaoka | 2 | JPY 310,063 / m²JPY 310.063K / m² |
| East | Oshitatecho | 1 | JPY 293,425 / m²JPY 293.425K / m² |
| West | Koremasa | 2 | JPY 207,213 / m²JPY 207.213K / m² |
Directions use each neighborhood representative point relative to the station. They do not classify individual transaction coordinates.