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San Francisco Real Estate: A Longer-Term View
December 2011
You may skip the text below and jump straight to the market charts.<=
br>
In a world where market ups and downs are blared out every minute, often wi=
th great hysteria, it's useful to pull back and look at the home market fro=
m a wider perspective. The longer time period and larger number of sales ma=
ke statistics more reliable and less confused by normal, relatively meaning=
less fluctuations. The longer term also provides a valuable overview for an=
investment typically held for 5 to 10 years and often longer.
The UCLA Anderson Home Price Forecast, which has been bearish for years, ha=
s suddenly turned bullish and is now predicting a 50% gain in California me=
dian home prices over the next 6 years. (They are not the only pundits turn=
ing optimistic.) If that turns out to be true - of course, studies have fou=
nd that "pundit" forecasts are about as reliable as coin tosses - that woul=
d make 2011 somewhat analogous to 1995. In 1996, after a big market drop an=
d then years of market-value doldrums, appreciation started to pick up agai=
n. And anyone who purchased in 1992-1995 soon looked like a genius, as valu=
es then doubled by 2000.
Generally speaking, 2011 values in San Francisco are equivalent to those in=
the 2004-2005 timeframe. However, it's important to remember that differen=
t neighborhoods within the city were affected differently by the bubble pop=
ping, and are now responding differently to existing conditions.
Based on the statistics, improving economic conditions in the Bay Area, and=
what we're seeing in the hurly-burly of representing home buyers and selle=
rs, we strongly suspect that SF home prices did hit bottom in 2010-2011. In=
deed, some neighborhoods, but not all, appear to have begun their recovery =
- it is still too early to reach definitive conclusions.
*******************************
Note regarding charts below: Median and average sales prices are =
different statistics and their definitions follow the charts. In San Fr=
ancisco with its huge variety of home types, conditions, views and location=
s, there is no such thing as a consistent "median" or "average" home: every=
statistic is a generalization based upon whatever basket of relatively uni=
que properties happens to sell within a certain time period. Changes of a f=
ew percentage points may or may not be meaningful.=20
All information herein is derived from sources deemed reliable, but may con=
tain errors and omissions, and is subject to revision. Sales not repor=
ted to MLS are not included in this analysis.
| cli=
ck for larger image | SF Houses: Median Sales Price since 1993 This ch=
art separates out distress sales, which allows for an apples-to-apples comp=
arison over the years. Distress houses (bank-owned and short sales) are clu=
stered in the lower price ranges and the less affluent neighborhoods, and s=
ell at a significant discount due to condition issues and the huge aggravat=
ion of dealing with banks. Distress sales make up 15-20% of the city's sale=
s, but in many neighborhoods, especially the more affluent ones, they are n=
ot a major factor and have not had a significant impact on values. <=
/td> | | click for larger image | South Beach Condo Sa=
les Inventory has plunged in this area, especially as new=
-development sales have virtually ground to a halt: Months Supply of Inven=
tory (MSI) has been running at under 3 months of inventory, which is quite =
low. In 2011, we've seen a bounce in average sales price and average dollar=
per square foot. The high-tech boom is probably fueling much of the market=
dynamic here. For our complete SoMa/ South Beach report: | click for larger image | Pacific & Presidio Heights/ Cow Hollow/ Marina Condos One of the interesting things seen here is that the more aff=
luent neighborhoods saw a drop in 2002 from the popping of the dot-com bubb=
le, while most other neighborhoods were unaffected. Changes in statistics o=
f a couple of percentage points may not be particularly meaningful in an ar=
ea such as this one with such a wide range of condos sold. | =
| click for larger image | Cole Valley; Ashbury, Clarendon & Coron=
a Heights This area of the city has similar dollar per sq=
uare foot house values as Noe & Eureka Valleys - for 2011 YTD, it's the exa=
ct same - but since the houses are bigger here, the average sales price is =
quite a bit higher. Looking at the chart, you might ask why, if both the av=
erage dollar per square foot and average size both went up in 2011, the ave=
rage sales price went down. That doesn't make sense. However, dollar per sq=
uare foot and average size are based only on those homes that reported squa=
re footage - typically 60-80% of sales - while average sales price is based=
upon ALL sales. This is a good example why statistics should not be consid=
ered exact delineations of changes in value. | | click for larger image | San Francisco Months Supply of Inventory (MSI) Inventory levels as compared to demand is as low as we've ever seen=
them and this would typically begin to put upward pressure on prices. For =
just houses, the hottest segment of the SF market, the MSI is under 2 month=
s, an incredibly low reading. As of November 30th, there were over 800 fewe=
r listings on the market than in November of 2010. Inventory is clearly not=
meeting buyer demand right now. | | click for larg=
er image | Pe=
rcentage of Listings Accepting Offers October and Novembe=
r have seen very high readings on this useful statistic that integrates the=
level of buyer demand (as measured by listings going under contract) and t=
he number of listings for sale. Look at the difference between November of =
2011 and November 2010. For just houses, the percentage that accepted offer=
s in this past November was over 30%, certainly the highest reading in year=
s. | | <=
/td> |
Statistics without informed context are usually worthless, easily manipulat=
ed and often misleading.
One can only be sure market values are trending up or down if that trend is=
consistent over the longer term, minimally 4 to 6 months. Any definitive t=
rend in prices and values should also be reflected in other market statisti=
cs such as average dollar per square foot, days on market, months' supply o=
f inventory, percentage of listings accepting offers, percentage of distres=
s sales, and so on.
DISTRESS HOME SALE can be one of two things: the sale of a bank-owne=
d property typically pursuant to a foreclosure (also called an REO sale), o=
r a so-called short sale, in which the seller-owner must get lender appr=
oval for a "short" payoff, a reduction in the loan amounts due on the p=
roperty in order for the sale to close. These 2 kinds of distress sale are =
actually different animals, though both can be long, tiresome endeavors to =
close because one is dealing with bank bureaucracies. (In 2010 in Californi=
a, about 40% of short sales fell through without closing sale.) However, in=
an REO sale, the seller is the bank (which may own hundreds or thousands o=
f these properties), the property often looks "distressed" and the bank has=
very limited disclosure responsibilities (which is a liability to buyers).=
In a short sale, the seller is usually the individual owner-occupier, the =
property condition is and shows much better, and full seller disclosure law=
s apply (the buyer knows more about what he or she is buying). Both types o=
f distress sale can be very good deals for savvy buyers and indeed investor=
s are buying many of the REO properties around the country. But there are p=
otentially greater risks and almost always much greater aggravation involve=
d.
=09
MEDIAN SALES PRICE is that price at which half the sales occur for m=
ore and half for less. It can be, and often is, affected by other factors b=
esides changes in market values, such as short-term or seasonal changes in =
inventory or buying trends. Though often quoted in the media as such, the m=
edian sales price is NOT like the price for a share of stock, i.e. a defini=
tive reflection of value and changes in value, and monthly fluctuati=
ons are generally meaningless. If market values are truly changing, the med=
ian price will consistently rise or sink over a longer term than just 2 or =
3 months, and also be supported by other supply and demand statistical tren=
ds.
AVERAGE SALES PRICE is calculated by adding up all the sales prices =
and dividing by the number of sales. It is different from median sales pric=
e, but like medians, averages can be affected by other factors besides chan=
ges in value, such as fluctuations in average unit size. Averages ma=
y also be distorted by a few sales that are abnormally high or low, especia=
lly when the number of sales is low. Average sales prices are usually highe=
r than median sales prices.
DAYS ON MARKET (DOM) are the number of days between a listing going =
on market and accepting an offer. The lower the average days on market figu=
re, typically the stronger the buyer demand and the hotter the market. No=
te that this statistic is distorted by distress sales, which often have a v=
ery high DOM, by that minority percentage of listings that sell after multi=
ple price reductions, and by deals that fall through after offer acceptance=
(the listings come back on market, but the DOM clock keeping ticking). App=
ealing, well-priced new listings often accept offers within 7 to 14 days of=
coming on market.
MONTHS SUPPLY OF INVENTORY (MSI) reflects the number of months it wo=
uld take to sell the existing inventory of homes for sale at current market=
conditions. The lower the MSI, the stronger the demand as compared to the =
supply and the hotter the market. Typically, below 3-4 months of inventory =
is considered a "Seller's market", 4-6 months a relatively balanced market,=
and above 6 months, a "Buyer's market."
DOLLAR PER SQUARE FOOT ($/sqft) is based upon the home's interior li=
ving space and does not include garages, unfinished attics and basements, r=
ooms built without permit, lot size, or patios and decks -- though all thes=
e can still add value to a home. These figures are usually derived from app=
raisals or tax records, but are sometimes unreliable or unreported altogeth=
er. Generally speaking, about 60-80% of listings report square footage and =
dollar per square foot averages are calculated on these listings alone. All=
things being equal, a house will sell for a higher dollar per square foot =
than a condo (due to land value), a condo higher than a TIC (quality of tit=
le), and a TIC higher than a multi-unit building (quality of use). Everythi=
ng being equal, a smaller home will sell for a higher $/sqft than a larger =
one. (However, things are rarely equal in real estate.) There are often sur=
prisingly wide variations of value within neighborhoods and averages may be=
distorted by one or two sales substantially higher or lower than the norm,=
especially when the total number of sales is small. Location, condition, a=
menities, parking, views, lot size & outdoor space all affect $/sqft home v=
alues. Typically, the highest dollar per square foot figures in San Franci=
sco are achieved by penthouse condos with utterly spectacular views in pres=
tige buildings.=20
| | | Contact me anytime for assistance, informa=
tion and resources regarding living in San Francisco. | | Paragon Real Estate Group (415)738-7=
000 | (415)565-0500 | www.paragon-re.com
| |
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