House Price Index in Nebraska (FRED)
The latest value of House Price Index in Nebraska is 545.44 index in 2026. Source: FRED. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/house-price-index-in-nebraska-fred.
205 rows · 9 columns · Time coverage: 1975-01-01 | 2026-01-01 · Latest value: 545.44 index (2026) · Last data pull: 2026-08-22
Headline stats (precomputed): latest 545.44, high 545.44, low 61.89, average 216.83 across 205 observations. Get them in one call: https://autario.com/api/v1/public/datasets/d4c39ab6-5119-47e0-8423-e6fa1f26dd4c/data?summary_only=true
This dataset tracks the All-Transactions House Price Index for Nebraska on a quarterly basis, providing a comprehensive measure of residential property value appreciation across the state since 1975. The index is maintained by the US Federal Housing Finance Agency and distributed through FRED, making it a reliable resource for understanding long-term housing market trends in the Great Plains.
Over the 50-year period from 1975 to 2025, Nebraska's house price index has risen dramatically from an initial value of 63.71 to 541.9 as of the third quarter of 2025. This represents a compound annual growth rate of 4.37 percent, demonstrating steady and consistent appreciation in the state's residential real estate market. The dataset contains 204 quarterly observations, with an average index value of 215.27 across the entire measurement period.
These figures reveal important insights about housing affordability and wealth accumulation in Nebraska. The sustained growth trajectory shows that homeownership has become increasingly valuable as an investment over the decades, though the pace of appreciation has remained moderate compared to some coastal markets. Analysts can use this quarterly data to identify economic turning points, compare Nebraska's performance to national trends, and understand how local housing markets respond to broader economic cycles.
Researchers, real estate professionals, and policymakers rely on this index to inform decisions about development, lending, and housing policy. The granular quarterly frequency allows for detection of seasonal patterns and short-term market shifts while the 50-year depth supports rigorous historical analysis and forecasting.
Use this data
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House Price Index in Nebraska (FRED) (1975-01-01 | 2026-01-01) | trend of the latest values. View full data.
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_house_price_index_in_nebraska_fred_d4c39a
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/d4c39ab6-5119-47e0-8423-e6fa1f26dd4c/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/d4c39ab6-5119-47e0-8423-e6fa1f26dd4c/data?filter=date:gte:<date>&sort=date:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/d4c39ab6-5119-47e0-8423-e6fa1f26dd4c/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/d4c39ab6-5119-47e0-8423-e6fa1f26dd4c/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/d4c39ab6-5119-47e0-8423-e6fa1f26dd4c/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=fred_house_price_index_in_nebraska_fred_d4c39a&entity=<entity>"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=fred_house_price_index_in_nebraska_fred_d4c39a&entity=<entity>"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=fred_house_price_index_in_nebraska_fred_d4c39a&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_house_price_index_in_nebraska_fred_d4c39a&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 |
|---|
| 1975-01-01 | 63.71 |
| 1975-04-01 | 62.5 |
| 1975-07-01 | 61.89 |
| 1975-10-01 | 67.98 |
| 1976-01-01 | 67.33 |
| 1976-04-01 | 67.08 |
| 1976-07-01 | 68.66 |
| 1976-10-01 | 70.23 |
| 1977-01-01 | 72.4 |
| 1977-04-01 | 73.64 |
Related datasets
Topic hubs: Housing & Real Estate · Inflation
Keywords: house prices, real estate, US state, Nebraska
Open House Price Index in Nebraska (FRED) on autario.com