Based on the automated model estimates below, checked on Nov. 11, 2026.
vs Last sold price $606,000: +$5,539 · +0.9%
This value is based on the automated valuation models (AVMs) listed below. This is a home price estimate prepared by United Home Teams, Inc. based on automated calculations from available data online. This is not a formal appraisal. Tap any model for how its value works.
92130 · Attached · October 2026
Carmel Valley attached homes cooled in October: the median price is down 12.9% year over year, sellers closed at 93.9% of asking, and homes took about 55 days to sell. Inventory is building — 4.1 months of supply, up sharply from a year ago — so buyers have more choice and more negotiating room than they have had in this ZIP for some time.
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Zillow — Zestimate®: $577,000 (range $548,000 – $606,000). Below the $606,000 paid in November 2024 — the low end of the three verified models.
The best-known consumer automated valuation model (AVM) in the U.S., built from public records, MLS data, and user-submitted facts on hundreds of millions of homes.
Published accuracy: median error about 1.77% for on-market homes and about 7% for off-market homes. The wider off-market error is the honest caveat — without a live listing, the model cannot see condition or upgrades.
MLS-driven AVMRedfin — Redfin Estimate: $621,248. Up about $15K since the November 2024 sale, and up about $4K since October.
Redfin is both a brokerage and a portal, so its estimate draws directly on MLS data and hundreds of data points — Redfin cites 500+ — including listing details other portals may not receive as quickly.
Published accuracy: median error about 1.85% on-market and about 7.25% off-market — very close to Zillow, with a different data emphasis.
Aggregator · Not a standalone modelHomes.com — average of 4 AVMs: $636,370 (range $621,000 – $653,479; values based on Sep 2026). Highest of the three verified headlines, with its four components clustered within about $32K of each other.
Homes.com does not run its own valuation model — it aggregates four lender-grade AVMs and averages them: Collateral Analytics $634,000 · ICE Mortgage Technology $637,000 · First American $621,000 · Quantarium $653,479.
Collateral Analytics is now part of ICE via Black Knight; ICE Mortgage Technology powers a large share of U.S. mortgage origination; First American is a title-data giant whose records cover 99% of U.S. deeds, mortgages, and foreclosures; Quantarium is an AI-driven model trained on parcel and imagery data.
Our methodUnited Home Price Estimate: $611,539.
It is the equal-weight average of the headline estimates verified on this page:
($577,000 + $621,248 + $636,370) ÷ 3 = $611,539
No single algorithm sees a home the way an appraiser walking through it would. Averaging independent models — consumer, MLS-driven, and aggregated — smooths out any one model’s blind spots and outliers.
Heat score · 26 / 100 · Buyer'sHow the 26 is built — each SDAR 10K Research input is scored 0–100 by band, then weighted:
Heat = 0.40 × Supply + 0.25 × Sales to List Price Ratio + 0.20 × DOM + 0.15 × Median YoY
For 92130: 0.40×50 + 0.25×0 + 0.20×30 + 0.15×0 = 26.
Scoring bands — Supply: ≤2 mo = 100, 2–4 = 80, 4–6 = 50, 6–8 = 20, >8 = 0 · Sales to List Price Ratio: ≥101% = 100, 99–101% = 80, 97–99% = 60, 95–97% = 30, <95% = 0 · DOM: ≤20 d = 100, 20–30 = 80, 30–45 = 60, 45–60 = 30, >60 = 0 · Median YoY: ≥+10% = 100, +5–10% = 80, 0–5% = 60, −5–0% = 30, <−5% = 0.
Why buyer’s? Price momentum and negotiating leverage both sit with buyers: the median is down 12.9% year over year and closings average 93.9% of asking, so both price inputs score zero. Supply at 4.1 months sits in the balanced band on its own, but combined with 55 days on market it is not enough to pull the score out of the buyer’s band.
Industry anchor (NAR): under 4 months of supply is a seller’s market, 4–6 balanced, over 6 a buyer’s market — which is why supply carries the largest weight.