Global House Prices (OECD)
House-price cycles for the whole OECD - the United States, Japan, the UK and every member, not just Europe - in one clean Parquet. The OECD Analytical House Price database: nominal and real house-price indices plus the price-to-income and price-to-rent ratios (the standard over/undervaluation gauges), quarterly, one row per country × measure × quarter. The cross-country comparable series behind every housing-bubble and affordability call; the global complement to our European house-price product.
- Source
- OECD
- Licence
- Redistributable open data
- Updates
- Quarterly
- Data through
- 2026-04-01
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- OECD-wide house prices - US, Japan, UK, Korea and all members (not just Europe)
- 4 measures - nominal HPI, real HPI, price-to-income, price-to-rent (valuation gauges)
- Quarterly, cross-country comparable methodology; the affordability/bubble toolkit
- One row per country × measure × quarter; the global partner to European house-prices
- Source: OECD (CC-BY-4.0) - OECD Data Explorer / SDMX
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | ISO-3 country code (USA, GBR, JPN, …) | 100.0% | 47 |
| ts | timestamp (UTC) | First month of quarter | 100.0% | 146 |
| series | str | Nominal HPI / Real HPI / Price-to-income / Price-to-rent | 100.0% | 4 |
| value | float | Index | 100.0% | 9,815 |
| unit | str | Unit | 100.0% | 1 |
| res_min | int | Native resolution (quarterly) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: OECD (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("global-house-prices-oecd_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 47 zones
AUS · AUT · BEL · BGR · BRA · CAN · CHE · CHL · CHN · COL · CZE · DEU · DNK · ESP · EST · FIN · FRA · GBR · GRC · HRV · HUN · IDN · IND · IRL · ISL · ISR · ITA · JPN · KOR · LTU · LUX · LVA · MEX · NLD · NOR · NZL · POL · PRT · ROU · RUS · SAU · SVK · SVN · SWE · TUR · USA · ZAF
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