Paragon report bay area real estate markets survey mccarthy + moe

The county and city appreciation percentages in the chart above were calculated by averaging changes in both median sales prices and average dollar per square foot values. We also incorporated S&P Case-Shiller SF metro area appreciation calculations based upon its algorithm breaking the market into thirds by price segment. Each city and county includes within itself a wide variety of individual real estate markets of different price segments and varying dynamics, so these percentages are broad generalities. How they apply to any particular home is unknown without a specific comparative market analysis.

IMPORTANT NOTE: As with stock market (or bitcoin) performance, comparative appreciation rates in housing markets vary wildly depending on the exact start and end dates of the analysis. For example, if we calculated median sales price appreciation from 2006/2007 (previous peak prices) to 2018 YTD, (instead of from 2011, the last bottom of the market), SF comes in at 82%, Oakland at 36%, Marin at 31.5% and Sonoma at 12%.

1) Being at the center of the high-tech boom (San Francisco, San Mateo, Santa Clara); 2) proximity to the center counties, but with significantly lower housing costs (Alameda County and especially Oakland are prime examples): 3) being affected to an outsized degree by subprime financing and the 2008-2011 distressed-property price crash (Oakland and many outlying, less expensive areas); 4) relative affordability: In recent years, as home prices soared, the highest pressure of buyer demand moved to less costly markets within and between counties; 5) substantially increased supply due to new construction (SF condo market); 6) increases in the average size of homes sold (+13% in SF); and 6) the general national economic recovery: U.S. home prices have appreciated by about 49% since hitting bottom in 2011.

This chart illustrates the dynamics of the enormous appreciation rate in Oakland since 2011, following its drastic crash in prices during the market recession: Chart: Oakland median price changes. And this chart based on Case-Shiller data illuminates the vast differences in the magnitude of bubbles, crashes and recoveries of different home price tiers: Chart: Appreciation Trends by Price Segment.

Generally speaking, the most affluent neighborhoods, with the most expensive homes, have appreciated less on a percentage basis (but more on a dollar-increase basis) than less expensive neighborhoods during this period. Especially over the past 2-3 years, the appreciation rates of more affordable homes have accelerated most quickly. This dynamic also occurred in the latter period of the last housing boom.

The above chart tracks dollar volume sales for houses, duets, condos, co-ops, TICs and 2-4 unit residential buildings. If the sales of larger multi-unit residential buildings and commercial buildings were included, sales volumes would soar for some counties. For example, in San Francisco, 74% of all transfer taxes collected in 2017 related to property sales of $10m+, the vast majority of which were larger apartment buildings and commercial properties.

On the issue of rent and eviction controls, people have a tendency to vote their own financial interests (and not according to their opinions on macro-economic housing-supply theory): Tenants for controls, and landlords and homeowners (potential landlords) against them. This is why strong rent control measures are typically found only in CA cities with majority tenant populations, such as SF, Oakland, Berkeley and Santa Monica. Upwardly spiraling rents, as illustrated in the below chart, has made this one of the most intense political issues of the day, to be voted on at the ballot in November.

Most Bay Area markets will now start to transition from the more heated spring sales season to the less active summer season. Part of this dynamic is a marked increase in price reductions. Seasonal trends do vary by county: Sonoma, for example, has a strong second-home market which can peak in mid-summer. San Francisco and Marin typically see dramatic spikes in sales during the short autumn selling season. All markets head into big slowdowns for the mid-winter holidays, before waking up and beginning the cycle again in the new year.

According to a recent report by Turner & Townsend, San Francisco has the second highest construction costs in the world, behind only New York, and these costs continue to accelerate due to a number of factors: land and labor costs; the long planning, approval & permitting process; political opposition to growth; and affordable housing requirements.

According to the calculations in the first chart above by the CA Association of Realtors, Bay Area median household income has increased by 23% since 2015, as compared to a 7% national increase (as calculated by Seeking Alpha). Among other factors, it has been reported that people moving into the Bay Area earn considerably more than those moving out.

The Bay Area high-tech boom has been one of the greatest new-wealth-creation machines in history, but many residents have not shared in its benefits, or, indeed, been negatively affected by its impact on housing costs. The Bay Area ranks third for its number of billionaires (after NYC and Hong Kong, according to Wealth-X), but, on the other hand, over a million local residents live in poverty (according to the Public Policy Institute of California). We have one of the great luxury home markets in the country, but also, "The Bay Area has one of the largest and least sheltered homeless populations in the country." (per SPUR, The Urbanist, September 2017)

According to CAR, despite very significant increases in median home prices and interest rates, affordability rates ticked up a little year-over-year in most Bay Area counties due to increases in household incomes. This surprises us, but we have not been able to review all the underlying data employed in the CAR Index. CAR has not yet been able to incorporate the recent federal tax law changes into their calculations, which would presumably lower affordability rates due to new limits on the deductibility of state and local taxes (such as property taxes) and mortgage interest costs. Depending on specific financial circumstances, our, admittedly unqualified, back-of-the-envelope estimate is that this will probably mean the loss of tens of thousands of dollars in federal income tax deductions for someone, say, owning a San Francisco house at the current median sales price. (Please get more qualified counsel from your accountant.)

Interest rates play a large role in affordability and ongoing housing costs (for those who do not pay all cash). They have risen appreciably in 2018, but so far that only seems to be motivating buyers to act more quickly before rates go higher. Still, at some point, if rates continue to rise, presumably there would be some negative impact on the market. Though considerably above the historic lows of recent years, rates are still very low by long-term standards.

One of the foundation stones of the current Bay Area economy and housing market has been the spectacular increase in employment over the last 7 years, often in extremely compensated jobs: It recently came out that the median salary at Facebook was $240,000. (On the other hand, Mark Zuckerberg made a salary of one dollar in 2017: Hopefully, he has other sources of income.)

These analyses were made in good faith with data from sources deemed reliable, but may contain errors and are subject to revision. It is not our intent to convince you of a particular position, but to attempt to provide straightforward data and analysis, so you can make your own informed decisions. Median and average statistics are enormous generalities: There are hundreds of different markets in the Bay Area, each with its own unique dynamics. Median prices can be and often are affected by other factors besides changes in fair market value, and longer term trends are much more meaningful than short-term. It is impossible to know how median prices apply to any particular home without a specific comparative market analysis. All numbers in this report are to be considered approximate.