European Real House
House prices with consumer inflation stripped out, per European country per quarter: nominal HPI annual growth minus HICP inflation. Above zero = homes genuinely getting dearer in real terms; below = house prices lagging the cost of living (the 2022-23 real correction most headline indices hide). Derived cleanly from Eurostat house prices + HICP; joins to the price and affordability products on country code. Licence-clean and AI-training-safe.
- Source
- derived
- Licence
- Redistributable open data
- Updates
- Quarterly
- Data through
- 2026-01-01
- 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
- Real house-price growth = nominal HPI annual % - HICP inflation, per country × quarter
- Strips the inflation illusion out of headline house-price numbers
- Every European country, quarterly; joins to house-prices, affordability, wages on country code
- Derived from Eurostat HPI + HICP; licence-clean & AI-training-safe
- Source: Eurostat (CC-BY-4.0)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Geo / country code (DE, FR, NL, …) | 100.0% | 31 |
| ts | timestamp (UTC) | Quarter start | 100.0% | 81 |
| real_hpi_pct | float | Nominal HPI annual % - HICP inflation | 100.0% | 800 |
| 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: derived (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("european-real-house-prices_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 31 zones
AT · BE · BG · CH · CY · CZ · DE · DK · EE · ES · FI · FR · HR · HU · IE · IS · IT · LT · LU · LV · MT · NL · NO · PL · PT · RO · SE · SI · SK · TR · UK
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