Construction producer prices or costs, new residential buildings - annual data (Eurostat)
Construction producer prices or costs, new residential buildings - annual data: data for 41 countries and regions. Source: Eurostat. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/construction-producer-prices-or-costs-new-residential-buildings-annual-data-eurostat.
5,816 rows · 17 columns · 41 regions/countries · Last data pull: 2026-09-02
Construction producer prices or costs, new residential buildings - annual data (Eurostat) covers 38 countries from 1954 to 2025. It contains 5,816 observations; reported values run from -14.9 to 619 and average 57.3.
In the latest readings, Ukraine ranks highest at 172 as of 2025, ahead of Hungary at 159 and Croatia at 150. At the low end, North Macedonia records -0.4.
Ukraine moved from 100 in 2021 to 172 in 2025, a rise of 71.8%.
The primary source for Construction producer prices or costs, new residential buildings - annual data (Eurostat) is Eurostat; on autario the table is available through a REST API, CSV export, and MCP tools for AI agents.
Chart: The Two-Year Jump in German Home-Building Prices (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_construction_producer_prices_or_costs_new_residential_buildi_860f66
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/860f6608-d337-449b-b542-636052987c2e/data?limit=100"
# Filter by country and year
curl "https://autario.com/api/v1/public/datasets/860f6608-d337-449b-b542-636052987c2e/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/860f6608-d337-449b-b542-636052987c2e/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/860f6608-d337-449b-b542-636052987c2e/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/860f6608-d337-449b-b542-636052987c2e/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=eu_construction_producer_prices_or_costs_new_residential_buildi_860f66&entity=AL"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=eu_construction_producer_prices_or_costs_new_residential_buildi_860f66&entity=AL"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=eu_construction_producer_prices_or_costs_new_residential_buildi_860f66&entity=AL&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=AL&a=eu_construction_producer_prices_or_costs_new_residential_buildi_860f66&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 | dataflow | last_update | freq | indic_bt | cpa2_1 |
|---|
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
| AL | ESTAT:STS_COPI_A(1.0) | 31/07/26 11:00:00 | A | COST | CPA_F41001_X_410014 |
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Topic hubs: Inflation
Keywords: EU, SDMX
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