What buyers actually paid, from the county’s own books: every full-value home sale recorded in Sonoma County from January 2025–January 2026 — 3,515 of them — by the square foot, the bedroom, the price band, and the pool. Aggregates only; the Wag does not print who bought what. (The assessor’s roll runs months behind the market, so this ledger ends where the record is still solid — see the method note below.)

What a square foot cost

Median price per square foot by area, from recorded Sonoma County sales

The chart medians are per area; the sale counts are printed on each bar, and a dozen sales is a dozen stories, not a statistic. Note the composition before comparing: most of the upper valley’s volume is Oakmont (177 of 217 sales in our three areas), whose smaller single-story homes trade below the county’s $486 median — while Kenwood and Glen Ellen, on thin volume, trade well above it.

What a bedroom count sold for

Median sale price by bedroom count in Sonoma County

Countywide, the median three-bedroom sold for $780k and the median four-bedroom for $894k. Resist the subtraction: the median four-bedroom is also 511 square feet bigger (2,125 vs 1,614), so the gap prices the extra house, not the extra door. These are honest medians of what sold, not the price of a bedroom.

Where the market cleared

Share of Sonoma County home sales by price band

73% of the county’s sales closed under $1M, and 5% at $2M or more. The upper valley’s own median was $768k across 232 sales — Oakmont’s volume again doing most of the talking.

The vineyard trade

26 vineyard properties changed hands countywide in the window — median 8 acres, median price $2.67M. We don’t quote a per-acre figure: 20 of the 26 carried houses or winery buildings, so any such number would price the improvements, not the land. (Bare-land vineyard values are a licensed-appraisal world; the county’s books can’t honestly get you there.)

The pool question

Median price per square foot for homes with and without pools in Sonoma County

Homes with a pool sold for a median $1.52M against $750k without — but that flatters the pool, which tends to come attached to a bigger house on more land (median 2,404 sq ft on 0.49 acres, versus 1,576 on 0.16). Per square foot the raw gap is +34%. Compare like with like — three-bedroom homes of 1,500–2,800 sq ft on a tenth to a full acre — and it narrows to about +8%. Treat that as a ceiling, not a price: even inside the matched band the pool homes run bigger (2,056 vs 1,804 sq ft), so some of the residue is still house. In the valley’s own sales, 24 of 232 homes (10%) had one; the roll records permitted, assessed pools, so bootleg ones escape this arithmetic.

How we did this

Figures are computed from Sonoma County’s public assessor parcel roll (the Clerk-Recorder-Assessor’s “Parcels Public” data), which records each parcel’s most recent sale. We keep only full-value, single-parcel residential transfers of at least $100,000 — the deals that look like a home changing hands at market price — and we publish medians, never individual homes. The window ends January 2026 because the roll runs months behind the market: later months exist in the data but carry a small fraction of their eventual sales (the 5 months we dropped held just 252 recordings between them), and reporting them as complete would mislead. “Oakmont & east valley” is the eastern arm of Santa Rosa along Highway 12. The roll is maintained for taxation, not journalism; treat these as honest estimates, not appraisals.


Data: County of Sonoma open GIS data, used with attribution. Companion to our monthly housing-market report.

Correction & method note (July 18, 2026): an earlier version of this ledger styled itself “unit economics” and charted a price per acre by lot size — a figure that divides house-and-land prices by lot acreage and therefore prices houses, not land ($5M-plus “acres” on small lots). It also priced “the fourth bedroom” by subtracting confounded medians, and dated its window by a month the county’s records had barely begun to fill. All four habits are gone; the charts above are descriptive medians with their sample sizes printed on them.

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