MEDDAYONMARUS · as of 2026-10-01
Median Days on Market
Housing Inventory - Median Days on Market in the United States
View on FRED · MEDDAYONMARUS ↗63d
1w
—
1m
▲ 2
yoy
◂ 0.00%
121 obs · monthly · days── 1y ago 63d
What it is
Time to sell. Falling = fast market, tight inventory; rising = inventory stacking up.
- source
- FRED
- frequency
- monthly
- units
- days
- s.a.
- no
Note: Coverage begins 2016-07.
What it’s telling us · as of 2026-10-01
Median days on market holds at 63 days, flat against October a year ago but up two days from September—a pause that reads like seasonal normalization rather than demand shifting. The climb from the May-June low of 52 days tracks a market losing urgency as inventory stopped crisping up, but you're not seeing the sustained ratchet higher that signals a true demand crack. For buyers, 63 days is still tight enough that slow-playing offers gets you outbid on decent stock; for sellers, you're still moving reasonably brisk, though the 10-day swing since spring says the window for list-and-wait tactics is closing.
⟡ auto-generated weekly · claude-haiku-4-5 · reviewed before publish
Related metrics
Get the data
Python · fredapi
"""
Median Days on Market — Time to sell. Falling = fast market, tight inventory; rising = inventory stacking up.
Freq: monthly · Source: FRED
"""
from fredapi import Fred
fred = Fred(api_key="YOUR_FRED_API_KEY")
series = fred.get_series("MEDDAYONMARUS")
print(series.tail())LLM prompt
You are analyzing FRED series MEDDAYONMARUS — Housing Inventory - Median Days on Market in the United States. Context: Time to sell. Falling = fast market, tight inventory; rising = inventory stacking up. Attributes - Units: days - Frequency: monthly - Source: FRED Latest observation: 63d as of 2026-10-01 Year-over-year change: 0.00% Analyze this metric for a tech-forward real estate investor with 1–3 properties. What is it signaling right now? What should I watch next?