Rail lines and operators
大洗鹿島線
鹿島臨海鉄道
2024 PUBLIC TRANSACTIONS · 1.5 KM
Kashima-Asahi 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 (2024)
JPY 1,906 / m²JPY 1.906K / m²
Approx. ¥00,000 / m²
2024 15 years 2
Estimated price for 100 m²
JPY 190,575JPY 190.575K
Simple estimate using the displayed median
Estimated land + building budget
JPY 36.79M
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 |
|---|---|---|
| Tsukuriya | JPY 6,655 / m²JPY 6.655K / m² | 2023 · 1 |
| Shikada | JPY 1,906 / m²JPY 1.906K / m² | 2024 · 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.
Kashima-Asahi Station profile
Main rail line
大洗鹿島線
Lines
1
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 (2024)
| Date | Neighborhood | Price | Area | Price / m² | Zoning |
|---|---|---|---|---|---|
| 2024-04 | Shikada | JPY 1M | 530.0 m² | JPY 1,906 / m²JPY 1.906K / m² | — |
Land prices by direction from the station
| Direction | Neighborhoods | Public samples | Median / m² |
|---|---|---|---|
| East | Tsukuriya | 0 | No data |
| West | Shikada | 1 | JPY 1,906 / m²JPY 1.906K / m² |
Directions use each neighborhood representative point relative to the station. They do not classify individual transaction coordinates.