Commercial Real Estate Prices for United States
U.S. commercial real estate price index shows quarterly year-over-year change. Peak of 15.65 percent in early 2005, decline to -7.01 percent by Q2 2025. FRED, 2005–2025. Live
82 rows · 9 columns · Time coverage: 2005-01-01 | 2025-04-01 · Latest value: -7.01 (2025) · Last data pull: 2026-05-19
This dataset tracks commercial real estate price indices for the United States, measuring quarterly year-over-year percent changes. Commercial real estate markets are illiquid and heterogeneous, making representative price indices difficult to construct. Understanding these price movements is critical because sharp swings in real estate values directly affect credit quality, collateral values, and the health of the financial sector.
The data spans 82 quarterly observations from the first quarter of 2005 through the second quarter of 2025. Commercial real estate prices peaked at 15.65 percent year-over-year growth in early 2005, while the most recent reading shows a decline of 7.01 percent. Over the full period, the average year-over-year change stood at 3.2 percent, with the most severe contraction reaching -29.94 percent, reflecting the dramatic market stress during economic downturns.
These movements reveal the cyclical nature of U.S. commercial real estate and its sensitivity to broader economic conditions. The sharp price declines observed at certain points in this 20-year window correspond to periods when deteriorating real estate valuations posed risks to financial stability. Analysts, policymakers, and investors use this index to monitor commercial property market health and assess potential systemic risks.
Researchers, financial institutions, and real estate professionals rely on this quarterly data to track market trends, stress-test portfolios, and inform decisions about credit exposure and investment allocation in the commercial property sector.
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: COMREPUSQ159N · direct CSV, JSON, and live API access below.
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/9cfffa1e-cacd-49d3-9164-ba5879b50876/data?limit=100"
# Filter by country and year
curl "https://autario.com/api/v1/public/datasets/9cfffa1e-cacd-49d3-9164-ba5879b50876/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/9cfffa1e-cacd-49d3-9164-ba5879b50876/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/9cfffa1e-cacd-49d3-9164-ba5879b50876/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/9cfffa1e-cacd-49d3-9164-ba5879b50876/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=federalr_commercial_real_estate_prices_for_united_states_9cfffa&entity=<entity>"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=federalr_commercial_real_estate_prices_for_united_states_9cfffa&entity=<entity>"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=federalr_commercial_real_estate_prices_for_united_states_9cfffa&entity=<entity>&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=<entity>&a=federalr_commercial_real_estate_prices_for_united_states_9cfffa&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: FRED (source code: COMREPUSQ159N)
Sample rows
| date | value |
|---|
| 2005-01-01 | 15.6470580918798 |
| 2005-04-01 | 11.8826093891222 |
| 2005-07-01 | 10.2878500502064 |
| 2005-10-01 | 13.553685808021 |
| 2006-01-01 | 12.862651042983 |
| 2006-04-01 | 15.6207100466746 |
| 2006-07-01 | 13.7110398478518 |
| 2006-10-01 | 13.6001375786163 |
| 2007-01-01 | 13.2692637557414 |
| 2007-04-01 | 12.4823614834163 |
Related datasets
Topic hubs: Housing & Real Estate
Keywords: COMREPUSQ159N, commercial real estate, commercial property prices
Open Commercial Real Estate Prices for United States on autario.com