2023 Market Indicators Turn Positive (But Interest Rates Climb Again)

After the acute decline in market activity occurring in the 2nd half of 2022, buyer demand rebounded dramatically and most market indicators turned positive in early 2023: Open house traffic, number of offers, and overbidding and absorption rates all saw improvement.*

It is too early for significant effects to show up in home prices: Indeed, through February, 3-month-rolling median house sales prices saw year-over-year declines across all Bay Area counties.  (These percentage declines should be regarded cautiously until substantiated over the longer term.) Even with the striking improvement in demand over late 2022, most year-over-year indicators remain depressed, but these comparisons are with the severely overheated conditions prevailing at the peak of a 10-year housing market upcycle. The market was still just waking up in February. March through May is typically the most active listing and sales period of the year, and should soon provide much more data on supply, demand and price trends. Over the last 3 years, spring markets were deeply affected, in very different and often surprising ways, by the onset of the pandemic (2020), the pandemic boom (2021), and soaring interest rates (2022).

As has been the case for the last 14 months, the biggest wildcard remains interest rates: After dropping considerably in January from a November peak, they climbed again in February, with big impacts on loan application rates. It has been very challenging to predict short-term interest rate changes. Another major factor is the substantial decrease in the number of new listings coming on the market, a critical issue with wide ramifications if it continues.

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.