2024 PUBLIC TRANSACTIONS · 1.5 KM

Nagi Station 1.5 km Area Land Prices

Published residential-land transactions are aggregated across 3 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 3,933 / m²JPY 3.933K / m²
Approx. ¥00,000 / m²
2024 15 years 1
Estimated price for 100 m²
JPY 393,250JPY 393.25K
Simple estimate using the displayed median
Estimated land + building budget
JPY 40.66M
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

NeighborhoodMedian / m²Latest year · samples
NobaraJPY 3,933 / m²JPY 3.933K / m²2024 · 1
HayaseNo dataNo data in five years
OseNo dataNo data in five years
NobaraJPY 3,933 / m²JPY 3.933K / m²2024 · 1HayaseNo dataNo data in five yearsOseNo 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.

Nagi Station profile

Main rail line
因美線
Lines
1
Neighborhood radius
1.5 km
Neighborhoods covered
3 neighborhoods

Station area map

The green circle is a 1.5 km radius; orange points are neighborhood representative points.

Neighborhood point

Rail lines and operators

因美線
西日本旅客鉄道

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)

DateNeighborhoodPriceAreaPrice / m²Zoning
2024-07NobaraJPY 600,000155.0 m²JPY 3,933 / m²JPY 3.933K / m²Outside a city-planning area

Land prices by direction from the station

DirectionNeighborhoodsPublic samplesMedian / m²
EastHayase0No data
SouthNobara1JPY 3,933 / m²JPY 3.933K / m²
WestOse0No data

Directions use each neighborhood representative point relative to the station. They do not classify individual transaction coordinates.