Based on the automated model estimates below, checked on Nov. 11, 2026.
vs Last sold price $475,000: +$316,804 · +66.7%
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.
92123 · Attached · October 2026
Serra Mesa attached homes present a split picture: the median price fell 22.7% year over year to $514,500 — on just 5 closed sales, so that median swings a lot — yet sellers still closed at 98.3% of asking, homes sold in about 29 days, and supply stood at 3.9 months.
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Zillow — Zestimate®: $821,000 (range $772,000 – $862,000). The highest of the three verified headlines — about $56K above the Redfin figure.
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: $765,001. The lowest of the three verified headlines — up about $290K since the February 2017 sale, and up about $1K 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: $789,411 (range $773,000 – $804,000; values based on Sep 2026). Its four lender-grade components cluster tightly, within $31K of each other — a narrower spread than most homes show.
Homes.com does not run its own valuation model — it aggregates four lender-grade AVMs and averages them: Collateral Analytics $804,000 · ICE Mortgage Technology $773,000 · First American $782,000 · Quantarium $798,645.
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: $791,804.
It is the equal-weight average of the headline estimates verified on this page:
($821,000 + $765,001 + $789,411) ÷ 3 = $791,804
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 · 63 / 100 · Seller'sHow the 63 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 92123: 0.40×80 + 0.25×60 + 0.20×80 + 0.15×0 = 63.
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 seller’s, when the median is down? Because the other three inputs point the other way: supply is 3.9 months, sellers are closing at 98.3% of asking, and homes move in about 29 days. The median-price input scores zero on the year-over-year drop — with only 5 sales behind that median — which is what holds the score at 63 instead of the strong seller’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.