Housing QC clean AI-training-safe

European Housing Market Panel

The whole European housing market in one join-ready annual sheet per country: house-price level and growth, construction output (supply), the housing-cost overburden rate, and the three pressure gauges analysts actually watch - real (inflation-adjusted) house-price growth, the affordability gap (price vs wage growth) and rent-vs-buy pressure (price vs rent growth) - all aligned on country × year. Seven variables in one coherent panel that used to be seven separate downloads. Built entirely from redistributable Eurostat data; licence-clean and AI-training-safe.

4K
rows
38
zones
2000-2026
coverage
1.8 MB
download
Source
derived
Licence
Redistributable open data
Updates
Annual
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

  • 7 variables per country × year: price index & growth, construction output, cost overburden, real house-price growth, affordability gap, rent-vs-buy pressure
  • Prices + supply + affordability + the derived pressure gauges in one coherent panel
  • Every European country, annual; long format (country × year × variable)
  • Licence-clean & AI-training-safe - 100% redistributable Eurostat data
  • Source: Eurostat (CC-BY-4.0)

Schema

ColumnTypeDescriptionFilledDistinct
zone str Geo / country code (DE, FR, NL, …) 100.0% 38
ts timestamp (UTC) Year 100.0% 27
variable str Price index / growth / construction output / cost overburden / real house-price growth / affordability gap / rent-vs-buy 100.0% 7
value float Annual value (index / % / rate) 100.0% 2,575
unit str mixed - see the variable name 100.0% 5
res_min int Native resolution (annual) 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-housing-market-panel_sample.parquet")
df.info()   # typed columns, gap-aware, ready to join
⬇ Download free Parquet sample or CSV for Excel
Coverage: 38 zones

AL · AT · BE · BG · CH · CY · CZ · DE · DK · EE · EL · ES · FI · FR · HR · HU · IE · IS · IT · LT · LU · LV · ME · MK · MT · NL · NO · PL · PT · RO · RS · SE · SI · SK · TR · UA · UK · XK

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