Trend
Price movement over time
Average, median, and highest observed point for the filtered set.
Investor intelligence · Kyoto Higashiyama
A live-style dashboard for investors reviewing official MLIT land price points across Kyoto's Higashiyama-ku — with historical trends, YoY movement, transaction comps, zoning signals, commercial corridor concentration, and a real map layer for location context.
Data scope
2026 currently includes the Official Land Price Publication only; prefectural survey points appear through 2025 in the extracted source.
Trend
Average, median, and highest observed point for the filtered set.
Location context
Real basemap with official MLIT latitude/longitude. Circle size follows yen/㎡; gold indicates commercial, green residential, blue other.
Composition
Average yen/㎡ by land-use category for the active filters.
Investor focus
Top points in the latest selected year, useful for seeing where pricing is concentrating.
Forward scenarios
Scenario model based on historical public land-price averages for the active filters. Use it for screening directionally — not as a parcel appraisal.
Phase 2 comps
MLIT transaction-price comps for Higashiyama-ku from 2005 Q3 onward. These are rounded, anonymized market observations, useful for comparing actual deal flow against official price points.
Planning signal
The first zoning layer uses the city-planning category reported on each MLIT transaction comp. No paid GIS subscription is required here: this view uses zoning, coverage ratio, and FAR fields already included in the free MLIT transaction records, then combines them with the official price-point dataset.
Comparable deals
Latest matching transactions for the active year and search filters. Prices are rounded/anonymized by MLIT and should be used for screening, not parcel appraisal.
Free-data intelligence
A quick read on whether public reference prices, actual transaction comps, and deal liquidity are moving together. Built only from public/free MLIT datasets already available on this page.
Access and liquidity
Transaction concentration by nearest station helps separate high-price reference points from areas where actual market activity is visible.
Current supply pulse
A separate live-market context layer from publicly accessible listing pages. This is not blended with official transactions; it answers how much current supply is visible right now.
Data health state
A practical audit of the datasets collected so far: completeness, freshness, spatial precision, and decision risk.
Investor briefing layer
A correspondence-ready readout that translates the official prices, transaction comps, and supply pulse into practical acquisition-screening priorities.
Diligence queue
Keeps the free-data screen honest: each public signal is paired with the next broker, legal, or field check needed before making an offer.
AKIYAZ submarket taxonomy
Curated corridor groupings turn raw MLIT district and station labels into investor-readable Higashiyama submarkets. This is the reusable ward-level layer we can later clone for other Kyoto wards.
Corridor ranking
Scores combine liquidity, median unit value, commercial exposure, FAR intensity, and recent activity.
How to read it
Higashiyama ward analytics system
A ward-level analytics foundation built only for Higashiyama first. It converts free public price points and transaction comps into repeatable submarket signals: liquidity, station access, zoning intensity, transaction value, and public-price anchor strength.
Submarket matrix
Transaction districts ranked by a blended signal of activity, unit values, commercial zoning exposure, and average FAR.
Built-form signal
Free MLIT transaction fields reveal the planning context attached to actual market comps: city-planning class, coverage ratio, floor-area ratio, and transaction value.
Property-type market structure
Higashiyama does not behave like a generic residential ward. This mix view keeps land-only signals separate from land/building and condo activity.
Open/free source stack
The dashboard is intentionally built from accessible public files and derived calculations, not paid data feeds. The transaction data is rounded and anonymized by MLIT, so it is best for screening and market direction rather than identifying individual parcels.
Annual view
Underlying points
Important note
This dashboard is a screening tool, not a parcel appraisal. Public land price points are standardized references; individual property value still depends on frontage, rights, road access, zoning, building condition, tourism flow, renovation feasibility, and exit strategy.