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GREATER TOKYO STATION PRICE ATLAS

Ekinomics

Follow the railway. Watch the prices change.

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OBSERVED MEDIAN2024–2025
2006–072014–152024–25

Nominal prices. Filters reduce differences in the homes sold; they do not fully adjust for quality.

EXPLORE THE REGION

Most expensive station areas

StationPrefecture¥ / m²ChangeSales

What the atlas measures

Prices and comparisons

Each price is the median of total transaction price divided by recorded floor area, in nominal yen. The source rounds and anonymises transactions. This is an observed sample of sales, not a valuation or a repeat-sales price index. Changes in location, condition, age and size of the apartments sold can change a station's median.

Only the MLIT survey series (不動産取引価格情報, 中古マンション等) is used. REINS contract data is not combined with it because the records can overlap. Explicit non-residential uses, special transaction circumstances, and invalid or censored prices/areas are excluded. Blank use fields are retained. Identical-looking records are retained because they can represent separate anonymised sales.

Prices require at least 10 observations in a two-year window. The highest- and lowest-price rankings list only station areas with at least 30. Growth comparisons require at least 20 in both windows. These practical thresholds do not establish statistical confidence. A dash means insufficient observations or no comparable data, never a zero price. Unknown building ages remain in “All ages” and drop out when an age band is selected. Age is the transaction year minus the building year.

Time and geography

The extracts span 2005 Q3–2026 Q1. The comparable windows use complete calendar years from 2006 through 2025. Coverage varies by year and area, especially at the start of the series; the most recent observations can be revised by MLIT.

Station markers represent grouped railway stations, not property addresses. Station names are matched to the December 2024 railway dataset; municipality boundaries help resolve duplicate names. Operator-qualified names distinguish the two Asakusas, Wasedas and Gumyojis. The nearby same-name platform groups at Ikebukuro, Musashi-Kosugi, Ryogoku and Tokyo are pooled into one price area per name because the transaction source does not distinguish them. Station centroids over water are associated with the nearest municipality within approximately 300 metres; their coordinates are unchanged. Unresolved names remain in the coverage report. The railway map is fixed at that vintage, including when you view older prices; it does not reconstruct historical openings, closures or service patterns. Line names follow the official dataset and can differ from passenger-facing service names. A railway filter includes all transactions assigned to its stations, including interchanges.

Names in English

Station and municipality names in English come from Wikidata (CC0). Municipalities are matched by their local government code, and stations by Japanese name within 3 km of the station. Stations Wikidata lacks, mainly Utsunomiya Light Rail stops, use the names in English Wikipedia's line articles. Line names are this atlas's own translations: operators keep their English brand spelling (Tokyu, Keio), and lines use Hepburn with long vowels marked (Tōyoko Line). Search ignores these marks, so “omiya” finds Ōmiya.

Sources

MLIT Real Estate Information Library · Terms of use

Geography adapted and simplified from MLIT N02 railways (2024) and N03 administrative boundaries (2025), CC BY 4.0. Station coordinates are derived from station geometries; offshore areas without railways are omitted from the boundary drawing.