
Napa County Real Estate
Due to the relatively low number of sales in Napa County, anomalous fluctuations in monthly statistics are not uncommon.
March 2026 Report with market data through February


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Napa County Real Estate
Due to the relatively low number of sales in Napa County, anomalous fluctuations in monthly statistics are not uncommon.
March 2026 Report with market data through February


Moving into spring, buyer demand and the supply of homes on the market have begun their rebound from the mid-winter holiday lows. Home values have started to increase again on a year-over-year basis. Spring and summer are typically the most active selling seasons of the year in Napa and on current trends, conditions are expected to generate further upward pressure on home values. The wild card in coming months is what sustained effects, if any, the Iran war may have on inflation, interest rates, financial markets and consumer confidence. There may be no significant impact on housing, unlike the tariff shock which caused an abrupt slowdown in last year’s spring market.
Report created in good faith using data from sources deemed reliable but may contain errors and subject to revision. Last period figures are preliminary estimates based on data available early in the following month. All numbers approximate and may change with late-reported activity.



Rates vary widely according to the property, price, borrower and lender.
Per Freddie Mac (FHLMC), on March 5, 2026, the weeklyaverage, 30-year,conforming-loaninterest rate, illustrated on this chart, was 6%, essentially unchanged from the previous week. (However, as of 3/6/26, the daily average rate has risen to 6.14%, increasing 15 basis points since the Iran war began.)*


3/30/23
*Freddie Mac (FHLMC), 30-Year Fixed Rate Mortgage Weekly Average: https://www.freddiemac.com/pmms.

Since February 2, 2026*

Dramatic ups and downs in oil prices, if sustained, can have considerable effects on consumer prices, transportation costs, inflation, consumer confidence and financial markets.
*Per Yahoo! Finance, https://finance.yahoo.com/quote/CL%3DF/history/. Data from sources deemed reliable but may contain errors. All numbers should be considered approximate.
Updated through March 6, 2026
Iran war begins

Percentage Increases in S&P 500 & Nasdaq since 1/2/25

Nasdaq Index: % Change since 01/25
S&P 500 Index: % Change since 01/25
Large changes in stock markets can dramatically affect household wealth, consumer confidence and housing markets, especially more affluent markets.

Data per MarketWatch.com, https://www.marketwatch.com/investing/index/comp/downloaddata and https://www.marketwatch.com/investing/index/spx/download-data. Data from source deemed reliable but may contain errors and subject to revision. Financial market values change constantly and all numbers to be considered approximate.

Median sales price is that price at which half the sales occurred for moreand half for less.It isa very generalstatistic, disguising an enormous range of sales prices in the underlying sales. It is often affected by other factors besides changes in fair market value. Monthly and seasonal fluctuations are common, which explain many of the regular ups and downs in this chart.


The 3-month-rolling median house sales price in February 2026 rose about 2% year over year. 2019

► NOTE: Due to its relatively low number of sales across an enormous range of sales prices, Napa County is more prone toanomalous fluctuation in its monthly median price.




$1,100,000 $1,000,000 $900,000 $800,000 $700,000 $600,000 $500,000 $400,000 $300,000 $200,000 $100,000 $-

Median $/sq.ft. value is a very general statistic, disguising an enormous range of values in the underlying sales. It is often affected by other factors besides changes in fair market value. Monthly and seasonal fluctuations are common, which explain many of the regular ups and downs in this chart. Longer-term trends are much more meaningful than short-term changes.


Note: Median sales prices and median $/sq.ft. values don’t always move in lockstep, since factors such as the median size of homes sold can affect them differently.
The 3-month-rolling median house $/sq.ft. value in February 2026 rose about 1.5%




$2,400,000
$1,830,000
$2,160,000
$1,880,000
$2,091,000
$1,580,000
$1,787,500
$1,325,000
$1,550,000
$1,175,000
$1,360,000
$1,206,000
$1,107,500
$875,000
$971,500
$780,000
$970,000
$852,500
$857,500
$785,000
$680,000
$565,000
Median House Sales Prices
4BR/3BA, 2000 - 2300 Sq.Ft. House
3BR/2BA, 1400 - 1750 Sq.Ft. House
Median price is that price at which half the sales occurred for more and half for less. It is a very general statistic that typically disguises an enormous range of sales prices in the individual underlying sales. Counties contain submarkets of widely different values. How these prices apply to any particular home is unknown without a comparative market analysis.
Sales reported to NorCal MLS Alliance in the 12 months through 2/28/26. Data from sources deemed reliable but may contain errors and subject to revision. Not all sales are reported to MLS. All numbers approximate and may change with late-reported sales.

by Greater Bay Area County, 12 Months Sales*

$1,209
$1,009
$1,155
$1,132
$981
$951
$865
$810
$758
$730
$743
$644
$558
$528
Median House $/Sq.Ft. Values
4BR/3BA, 2000 - 2300 Sq.Ft. House Napa
$556
$446
$509
$404
$501 $451
$362
3BR/2BA, 1400 - 1750 Sq.Ft. House

$/sq.ft. is based upon interior living space and doesn’t include garages, attics, basements, rooms built without permit, decks or lot size. All things being equal, a smaller home will typically sell for a higher $/sq.ft. value.
Counties contain submarkets of widely different values. How these values apply to any particular home is unknown without a comparative market analysis.


The number of new listings in February 2026 fell about 24% year over year. New listing activity will normally rise quickly in the next month or two.


The number of new listings coming on market ebbs and flows by seasonal trends, though it can be affected by specific market dynamics.


As of 3/1/26, the number of listings was slowly climbing, but lower year over year. Listing inventory will typically continueto rise through fall.*

The quantity of active listings on a given day is affected by 1) the number of new listings coming on market, 2) how quickly buyers put them into contract, 3) the sustained heat of the market over time, and 4) sellers pulling their homes off the market without selling.
7 / 1 / 2 3 4 / 1 / 2 4
* Active/Coming-Soon listings posted to NorCal MLS Alliance. Data from sources deemed reliable but may contain






Due to its relatively low number of sales, Napa County is more prone to fluctuation in its monthly statistics. Generally speaking, spring-summer is typically its period of highest activity.
The number of listings going into contract in February2026rosefromJanuaryandyearover
Activity normally jumps as spring begins.




Absorption


Pandemic boom
| Interest rate changes impact the
Sales in one month mostly reflect accepted offers in the previous month. January’s low count generally reflects the slow holiday market in December and early January.
In the typical seasonal trend, the number of
sales in February 2026 began to rebound from the January low, a dynamic which should accelerate in coming months.


Updated through February 2026

Napa County Market Dynamics & Seasonality

Luxury home sales usually ebb and flow according to seasonaltrends, butlarge monthlyfluctuations are not uncommon in Napa.



The number of price reductions typically ebbs and flows by season, usually peaking in autumn (though that did not occur in 2025 due to the tariff shock).




Higher overbidding percentages signify more competition for new listings, and they typically surge moving into spring. The % is higher for more affordable homes and lower for more expensive properties. Overall, 16% of sales in February 2026 sold over list price.




100% = an average sales price at original list price. 97% = an average sales price 3% below asking price. Overbidding usually peaks in spring. More affordable homes typically sell at higher sales-price-to-list- price percentages than luxury homes.


Homes typically sell fastest in spring as buyers respond to the rush of new listings. In midwinter, sales are dominated by listings that have been on the market for longer periods of time.

A measurement of how quickly the listings which sell go into contract. Generally speaking, more affordable homes sell much more quickly than luxury homes.



Due to the relatively low number of sales in Napa County, anomalous fluctuations in monthly statistics are not uncommon.

Sales of houses, condos, townhouses reported to NorCal MLS Alliance, per Infosparks. Data derived from sources deemed



“The CBOE Volatility Index, or VIX, is a real-time market index representing the [stock] market’s expectations for volatility over the coming 30 days. Investors use the VIX to measure the level of risk, fear, or stress in the market when making investment decisions.” Quote from Investopedia
► On 3/6/26, the VIX Volatility Index hit its highest point since the tariff shock in April 2025.

Mar-25
*CBOE Volatility Index (VIX), per https://www.cboe.com/tradable_products/vix/vix_historical_data/ and/or Yahoo! Finance: https://finance.yahoo.com/quote/%5EVIX/history/. Data from sources deemed reliable but may contain errors. All numbers approximate.


The CAPE ratio is a stock market valuation measure created by economist Robert Shiller. It is defined as the current price of the S&P 500 divided by the moving-average of 10 years of inflation-adjusted earnings and is principally used to assess likely future returns over longer periods. A higher CAPE ratio can suggest investors are expecting higher future growth, or that the stock market is overvalued.

As of early 2026, the CAPE ratio has been running at its highest readings since the dotcom bubble.



The Economic Policy Uncertainty Index reading has plummeted since the April 2025 tariff shock butreboundedhigher in JanuaryandFebruary2026 toa level very high by long-term standards. This chart pre-dates the start of the Iran war.
Tariff shock►
The Economic Uncertainty Index is constructed from data analysis of 1) an index of search results from 10 large newspapers for terms related to economic and policy uncertainty, 2) reports by the Congressional Budget Office, and 3) the Federal Reserve Bank of Philadelphia's Survey of Professional Forecasters.*


*Source: 'Measuring Economic Policy Uncertainty' by Scott Baker, Nicholas Bloom and Steven J. Davis, 3component index, www.PolicyUncertainty.com, https://www.policyuncertainty.com/us_monthly.html.

Note: BLS often revises its monthly estimates, sometimes very substantially.
*U.S. Bureau of Labor Statistics, “All employees, thousands, total nonfarm, seasonally adjusted”: https://data.bls.gov/timeseries/CES0000000001&output view=net 1mth. Last 2 readings are labeled “preliminary” and often substantially revised. Data from sources deemed reliable but may contain errors. Monthly Change in U.S. NonFarm Employment, in Thousands Employment trends and job security continue to be major concerns of consumers and economists.


Statistics are generalities, essentially summaries of widely disparate data generated by dozens, hundreds or thousands of unique, individual sales occurring within different time periods. They are best seen not as precise measurements, but as broad, comparative indicators, with reasonable margins of error. Anomalous fluctuations in statistics are not uncommon, especially in smaller, expensive market segments. Last period data should be considered estimates that may change with late-reported data. Different analytics programs sometimes define statistics – such as “active listings,” “days on market,” and “months supply of inventory” – differently: what is most meaningful are not specific calculations but the trends they illustrate. Most listing and sales data derives from the local or regional multi-listing service (MLS) of the area specified in the analysis, but not all listings or sales are reported to MLS and these won’t be reflected in the data. “Homes” signifies real-property, single-household housing units: houses, condos, co-ops, townhouses, duets and TICs (but not mobile homes), as applicable to each market. City/town names refer specifically to the named cities and towns, unless otherwise delineated. Multi-county metro areas will be specified as such. Data from sources deemed reliable but may contain errors and subject to revision. All numbers to be considered approximate.
Many aspects of value cannot be adequately reflected in median and average statistics: curb appeal, age, condition, amenities,
views, lot size, quality of outdoor space, “bonus” rooms, additional parking, quality of location within the neighborhood, and so on. How any of these statistics apply to any particular home is unknown without a specific comparative market analysis.
Median Sales Price is that price at which half the properties sold for more and half for less. It may be affected by seasonality, “unusual” events, or changes in inventory and buying trends, as well as by changes in fair market value. The median sales price for an area will often conceal an enormous variety of sales prices in the underlying individual sales.
Dollar per Square Foot is based upon the home’s interior living space and does not include garages, unfinished attics and basements, rooms built without permit, patios, decks or yards (though all those can add value to a home). These figures are usually derived from appraisals or tax records but are sometimes unreliable (especially for older homes) or unreported altogether. The calculation can only be made on those home sales that reported square footage.
Photo use under the Creative Commons License: https://creativecommons.org/licenses/by-sa/2.0/
Compass is a real estate broker licensed by the State of California, DRE 01527235. Equal Housing Opportunity. This report has been prepared solely for information purposes. The information herein is based on or derived from information generally available to the public and/or from sources believed to be reliable. No representation or warranty can be given with respect to the accuracy or completeness of the information. Compass disclaims any and all liability relating to this report, including without limitation any express or implied representations or warranties for statements contained in, and omissions from, the report. Nothing contained herein is intended to be or should be read as any regulatory, legal, tax, accounting or other advice and Compass does not provide such advice. All opinions are subject to change without notice. Compass makes no representation regarding the accuracy of any statements regarding any references to the laws, statutes or regulations of any state are those of the author(s). Past performance is no guarantee of future results.