Rail lines and operators
井川線
大井川鐵道
大井川本線
大井川鐵道
2023 PUBLIC TRANSACTIONS · 1.5 KM
Senzu Station 1.5 km Area Land Prices
Published residential-land transactions are aggregated across 2 full neighborhoods whose representative points lie within 1.5 km straight-line distance of the station. The neighborhood breakdown appears below.
Median transaction price per m² (2023)
JPY 363 / m²
Approx. ¥00,000 / m²
2023 15 years 1
Estimated price for 100 m²
JPY 36,300JPY 36.3K
Simple estimate using the displayed median
Estimated land + building budget
JPY 37.64M
100 m² building using the 2025 benchmark
The 1.5 km rule applies to neighborhood representative points. It is not a property-level distance or walking-time catchment; prices cover each included neighborhood in full.
Prices by neighborhood
| Neighborhood | Median / m² | Latest year · samples |
|---|---|---|
| Kamikishi | JPY 363 / m² | 2023 · 1 |
| Tashiro | No data | No data in five years |
KamikishiJPY 363 / m²2023 · 1›TashiroNo dataNo data in five years›
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.
Senzu Station profile
Main rail line
井川線 · 大井川本線
Lines
2
Neighborhood radius
1.5 km
Neighborhoods covered
2 neighborhoods
Station area map
The green circle is a 1.5 km radius; orange points are neighborhood representative points.
Loading map…
Nearest published station areas
Station location, lines and operators come from the MLIT N02 railway dataset. Station distances are straight-line distances between representative coordinates.
Published land transaction examples (2023)
| Date | Neighborhood | Price | Area | Price / m² | Zoning |
|---|---|---|---|---|---|
| 2023-07 | Kamikishi | JPY 100,000 | 280.0 m² | JPY 363 / m² | Outside a city-planning area |
Land prices by direction from the station
| Direction | Neighborhoods | Public samples | Median / m² |
|---|---|---|---|
| South | Kamikishi · Tashiro | 1 | JPY 363 / m² |
Directions use each neighborhood representative point relative to the station. They do not classify individual transaction coordinates.