Japan House Price Index

Japan · Monthly series · EC-JP-HPI

Latest, August 2026

150.0 pts

+0.2% from July 2026

Open interactive chartJapan House Price Index in the app

167.1136.7106.4April 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 155.8 pts, with an 80% interval of 142.2 pts to 167.1 pts.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 2026150.5 pts149.5 pts151.7 pts
October 2026151.0 pts149.2 pts153.0 pts
November 2026151.7 pts148.8 pts154.3 pts
December 2026152.2 pts148.3 pts155.7 pts
January 2027152.8 pts147.7 pts156.9 pts
February 2027153.2 pts146.9 pts158.5 pts
March 2027153.7 pts146.2 pts159.9 pts
April 2027154.1 pts145.4 pts161.6 pts
May 2027154.6 pts144.5 pts163.0 pts
June 2027155.0 pts143.6 pts164.3 pts
July 2027155.4 pts143.2 pts165.7 pts
August 2027155.8 pts142.2 pts167.1 pts

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Needs refresh

The data refresh is due. Confidence will be reassessed against the refreshed history.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
n/aNot evaluated
Direction
n/aNot evaluated
Turning points
n/aNot evaluated
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Model comparison

Comparison not readyA forecast and enough history for rolling backtests are required.

Reading

That is the highest of the 115 readings since September 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
August 2026150.0 pts
July 2026149.7 pts
June 2026149.1 pts
May 2026147.6 pts
April 2026146.7 pts
March 2026146.3 pts
February 2026145.2 pts
January 2026144.9 pts
December 2025145.8 pts
November 2025143.4 pts
October 2025141.0 pts
September 2025140.5 pts
August 2025137.9 pts
July 2025136.7 pts
June 2025134.3 pts
May 2025132.7 pts
April 2025131.1 pts
March 2025130.0 pts
February 2025129.1 pts
January 2025128.5 pts
December 2024128.2 pts
November 2024127.8 pts
October 2024126.0 pts
September 2024125.5 pts

Source

Data: public market data feeds.

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