US Average Sales Price of Houses Sold (FRED)
The latest value of US Average Sales Price of Houses Sold is 502,700 USD in 2026. Source: FRED. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/us-average-sales-price-of-houses-sold-fred.
254 rows · 9 columns · Time coverage: 1963-01-01 | 2026-04-01 · Latest value: 502,700 USD (2026) · Last data pull: 2026-08-26
This dataset tracks the average sales price of houses sold in the United States, compiled by the US Census Bureau and distributed through FRED, the Federal Reserve Economic Data platform. It is a foundational economic indicator that reflects housing market conditions, affordability trends, and broader inflation dynamics across six decades of American real estate history.
The data spans from January 1963 to January 2026, covering 254 monthly observations. Over this period, the average home sales price rose from $19,300 to $514,600, representing a compound annual growth rate of 5.35 percent. The dataset shows a low point of $19,200 and a high point of $541,300, with an overall historical average of approximately $193,901.
For economists and analysts, these figures reveal long-term patterns in housing affordability and wealth accumulation. The steady upward trajectory underscores how housing has appreciated as an asset class while simultaneously raising questions about homeownership accessibility for new buyers. Researchers can use this series to correlate housing prices with employment, interest rates, household income, and consumer spending behavior.
Journalists, real estate professionals, policy researchers, and investment analysts rely on this data to contextualize current market conditions within historical perspective. Whether examining generational housing affordability, regional price divergence, or the relationship between monetary policy and property values, this comprehensive US Census Bureau dataset provides essential benchmarking for informed discussion and analysis.
Use this data
Take US Average Sales Price of Houses Sold (FRED) 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: US Average Sales Price of Houses Sold (FRED) (1963-2026)
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: fred_us_average_sales_price_of_houses_sold_fred_b85c47
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/b85c479d-a04f-46e1-b4e1-67ea053292b2/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/b85c479d-a04f-46e1-b4e1-67ea053292b2/data?filter=date:gte:<date>&sort=date:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/b85c479d-a04f-46e1-b4e1-67ea053292b2/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/b85c479d-a04f-46e1-b4e1-67ea053292b2/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/b85c479d-a04f-46e1-b4e1-67ea053292b2/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=fred_us_average_sales_price_of_houses_sold_fred_b85c47&entity=<entity>"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=fred_us_average_sales_price_of_houses_sold_fred_b85c47&entity=<entity>"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=fred_us_average_sales_price_of_houses_sold_fred_b85c47&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=fred_us_average_sales_price_of_houses_sold_fred_b85c47&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
Sample rows
| date | value |
|---|
| 1963-01-01 | 19300 |
| 1963-04-01 | 19400 |
| 1963-07-01 | 19200 |
| 1963-10-01 | 19600 |
| 1964-01-01 | 19600 |
| 1964-04-01 | 20200 |
| 1964-07-01 | 20500 |
| 1964-10-01 | 20900 |
| 1965-01-01 | 21500 |
| 1965-04-01 | 21000 |
Related datasets
Topic hubs: Housing & Real Estate
Keywords: housing, real estate, home prices, ASPUS
Open US Average Sales Price of Houses Sold (FRED) on autario.com