Residential construction - annual data, % of GDP (Eurostat) (tipsna50)
Residential construction - annual data, % of GDP: data for 30 countries and regions, 1995-2025. Source: Eurostat, indicator tipsna50. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/residential-construction-annual-data-of-gdp-eurostat.
930 rows · 11 columns · Time coverage: 1995 | 2025 · 30 regions/countries · Last data pull: 2026-08-17
This dataset tracks residential construction spending as a percentage of gross domestic product across 29 European countries and territories, providing a standardized measure of housing investment intensity over three decades. Compiled by Eurostat, the European Commission's official statistics office, it reveals how much each economy dedicates to building and renovating residential properties relative to its overall economic output.
The data spans from 1995 to 2025, covering 930 observations across the region. Cyprus maintains the highest share at 8.2% of GDP in 2025, followed by Germany at 6.1%, France at 5.9%, Spain at 5.8%, and Czechia at 5.7%. At the lower end, Poland records 2.2%, Slovenia and Latvia each at 2.5%, Hungary at 2.8%, and Luxembourg at 2.9%. Across all entities and years, residential construction ranges from a low of 0.4% to a peak of 13.5%, with an average of 4.62% of GDP.
Long-term trends reveal diverging investment patterns. Czechia shows the strongest growth momentum, with a compound annual growth rate of 1.54% since 1995, rising from 3.6% to 5.7% of GDP. Germany, by contrast, has declined modestly at -0.73% annually, falling from 7.6% to 6.1%. France and Cyprus demonstrate relative stability, each growing at 0.3% and 0.08% respectively. These patterns reflect different stages of housing market maturity, demographic pressures, and post-financial-crisis recovery dynamics across Europe.
Researchers, policymakers, and construction analysts use this dataset to benchmark housing investment levels, identify market opportunities, and understand cyclical economic health. The data helps explain housing affordability challenges, construction employment trends, and the effectiveness of residential stimulus policies during downturns.
Residential construction - annual data, % of GDP (Eurostat) by country, latest reported year
Highest: Cyprus at 8.2 Percentage of gross domestic product (GDP) (2025). Lowest: Poland at 2.2 Percentage of gross domestic product (GDP) (2025). Ranked across 27 countries with a reported value.
Showing the top 25 of 27 countries with a reported value. Full table as CSV or JSON at https://autario.com/data/residential-construction-annual-data-of-gdp-eurostat.
Aggregates reported in the same series
Regions and country groups published by Eurostat alongside the countries. They are not part of the country ranking above.
| Aggregate | Value (Percentage of gross domestic product (GDP)) | Year |
|---|
| Euro Area | 5.3 | 2025 |
| European Union | 5 | 2025 |
Chart: Residential Construction Is Shrinking as a Share of Germany's Economy (1995-2025)
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 code: tipsna50 · direct CSV, JSON, and live API access below.
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/eedd8afd-855d-49b2-994a-5bb0ee55d65e/data?limit=100"
# Filter by country and year
curl "https://autario.com/api/v1/public/datasets/eedd8afd-855d-49b2-994a-5bb0ee55d65e/data?filter=country_code:eq:DEU&filter=year:gte:2010&sort=year:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/eedd8afd-855d-49b2-994a-5bb0ee55d65e/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/eedd8afd-855d-49b2-994a-5bb0ee55d65e/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/eedd8afd-855d-49b2-994a-5bb0ee55d65e/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=eu_residential_construction_annual_data_of_gdp_eurostat_eedd8a&entity=Austria"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=eu_residential_construction_annual_data_of_gdp_eurostat_eedd8a&entity=Austria"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=eu_residential_construction_annual_data_of_gdp_eurostat_eedd8a&entity=Austria&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=Austria&a=eu_residential_construction_annual_data_of_gdp_eurostat_eedd8a&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 (source code: tipsna50)
Sample rows
| geo | time | value | asset10 | freq | unit |
|---|
| European Union - 27 countries (from 2020) | 1995 | 5.9 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 1996 | 5.8 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 1997 | 5.7 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 1998 | 5.7 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 1999 | 5.8 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 2000 | 5.8 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 2001 | 5.6 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 2002 | 5.6 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 2003 | 5.7 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
| European Union - 27 countries (from 2020) | 2004 | 5.9 | Dwellings (gross) | Annual | Percentage of gross domestic product (GDP) |
Related datasets
Topic hubs: GDP & Economic Output
Keywords: tipsna50, EU, Europe
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