House price index (2015 = 100) - quarterly data (Eurostat)
House price index (2015 = 100) - quarterly data: data for 38 countries and regions, 2005-2026. Source: Eurostat. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/house-price-index-2015-100-quarterly-data-eurostat.
11,613 rows · 12 columns · Time coverage: 2005-Q1 | 2026-Q1 · 38 regions/countries · Last data pull: 2026-08-31
This dataset presents the House Price Index with a base year of 2015 equal to 100, sourced from Eurostat and covering 33 European entities across 11,613 quarterly observations. It tracks residential real estate price movements spanning from 2005-Q1 through 2025-Q3, making it an essential resource for understanding housing market dynamics across Europe over two decades. The index allows researchers, policymakers, and investors to compare housing affordability trends and price volatility across different countries using a standardized baseline.
The data reveals stark regional differences in housing price trajectories. As of the latest available quarter, Iceland leads with an index value of 265.13, followed by the Netherlands at 217.61 and Romania at 166.14. These figures far exceed the global average of 43.38, indicating concentrated price appreciation in specific markets. Conversely, some nations show minimal changes, with Finland recording a value of negative 2.2 and Estonia at negative 0.8 in the most recent period, reflecting cooling or declining markets.
Growth rates vary dramatically by country. Türkiye has experienced exceptional appreciation with a compound annual growth rate of 28.61 percent since 2010-Q1, reaching an index value of 1884.94 by 2024-Q4. Iceland follows with an 8.32 percent annual growth rate over its full observation window, while Netherlands and Luxembourg showed more modest growth at 3.73 and 4.64 percent respectively. These contrasting trajectories underscore how housing markets respond differently to economic cycles, construction supply, and demographic pressures.
This dataset supports comparative housing market analysis, macroeconomic forecasting, real estate investment decisions, and policy evaluation across European nations.
Use this data
Take House price index (2015 = 100) - quarterly data (Eurostat) beyond this page: ask an AI assistant about it, chart it in a data app, or set it next to the numbers from your own accounts.
Chart: German House Prices Rise Again After a Three-Year Correction (2005-2025)
Query via API instead of re-downloading. Live REST API and instant in-browser charts stay source-synced with the primary publisher, no CSV exports to maintain, MCP-ready for Claude, ChatGPT, and Cursor. Use this dataset in Power BI or Excel via the public API, no key required.
Indicator: eu_house_price_index_2015_100_quarterly_data_eurostat_041b27
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/041b276b-26ea-4613-94e9-8327f4c84092/data?limit=100"
# Filter and sort on this dataset's own columns (replace the bracketed placeholder with a value)
curl "https://autario.com/api/v1/public/datasets/041b276b-26ea-4613-94e9-8327f4c84092/data?filter=geo:eq:<geo>&filter=time:gte:<time>&sort=time:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/041b276b-26ea-4613-94e9-8327f4c84092/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/041b276b-26ea-4613-94e9-8327f4c84092/data", params={"limit": 100})
data = r.json()["data"]
Full API docs · Agent guide · MCP setup for Claude / ChatGPT / Cursor · No API key required for public data.
For AI agents
Statistics for this dataset are precomputed server-side. One call returns finished, verified numbers with provenance. No row download, no local computation:
# Finished stats, zero rows (n, min, max, avg, first/last)
curl "https://autario.com/api/v1/public/datasets/041b276b-26ea-4613-94e9-8327f4c84092/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=eu_house_price_index_2015_100_quarterly_data_eurostat_041b27&entity=European%20Union%20(EU6-1958%2C%20EU9-1973%2C%20EU10-1981%2C%20EU12-1986%2C%20EU15-1995%2C%20EU25-2004%2C%20EU27-2007%2C%20EU28-2013%2C%20EU27-2020)"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=eu_house_price_index_2015_100_quarterly_data_eurostat_041b27&entity=European%20Union%20(EU6-1958%2C%20EU9-1973%2C%20EU10-1981%2C%20EU12-1986%2C%20EU15-1995%2C%20EU25-2004%2C%20EU27-2007%2C%20EU28-2013%2C%20EU27-2020)"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=eu_house_price_index_2015_100_quarterly_data_eurostat_041b27&entity=European%20Union%20(EU6-1958%2C%20EU9-1973%2C%20EU10-1981%2C%20EU12-1986%2C%20EU15-1995%2C%20EU25-2004%2C%20EU27-2007%2C%20EU28-2013%2C%20EU27-2020)&window=5"
# Correlate with any other indicator (ids via /api/v1/public/ontology/indicators)
curl "https://autario.com/api/v1/public/ontology/stats/correlate?entity=European%20Union%20(EU6-1958%2C%20EU9-1973%2C%20EU10-1981%2C%20EU12-1986%2C%20EU15-1995%2C%20EU25-2004%2C%20EU27-2007%2C%20EU28-2013%2C%20EU27-2020)&a=eu_house_price_index_2015_100_quarterly_data_eurostat_041b27&b=<indicator_id>"
The same operations are MCP tools (describe, pct_change, rolling_stats, correlate) via npx autario-mcp or the remote endpoint https://autario.com/mcp. MCP responses default to TOON format and use about 74% fewer tokens than pretty JSON. Details: agent guide and llms.txt.
Original source: Eurostat
Sample rows
| geo | time | value | indic | freq | unit |
|---|
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2005-Q1 | 51.53 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2005-Q2 | 52.41 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2005-Q3 | 53.7 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2005-Q4 | 54.31 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2006-Q1 | 55.39 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2006-Q2 | 56.89 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2006-Q3 | 58.47 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2006-Q4 | 59.87 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2007-Q1 | 60.95 | Total | Quarterly | Index, 2025=100 (NSA) |
| European Union (EU6-1958, EU9-1973, EU10-1981, EU12-1986, EU15-1995, EU25-2004, | 2007-Q2 | 62.51 | Total | Quarterly | Index, 2025=100 (NSA) |
Related datasets
Topic hubs: Housing & Real Estate · Inflation
Keywords: EU, Europe
Open House price index (2015 = 100) - quarterly data (Eurostat) on autario.com