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 calculations based upon its algorithm breaking the market into thirds by price segment. Each city and county includes within itself . . .
The California Association of Realtors recently released its Housing Affordability Index (HAI) for the 1st quarter of 2018, which measures the percentage of households that can afford to buy the median priced single family dwelling (house). In this analysis, affordability is affected by 3 major factors: county median house price, mortgage interest rates, and the . . .
As seen in the chart below, so far in 2018, SF luxury home sales have been very strong, higher than in any previous year since the recovery began in 2012. The recent stock market volatility notwithstanding, the economic confidence that has been sweeping the nation is also showing up in our luxury home markets. For . . .
Before discussing neighborhood values, appreciation rates and market cycles, here are 3 overview charts on the entire city market. Citywide Home Values & Trends On a 3-month-rolling basis, median home sales prices in San Francisco yet again hit new highs in April 2018: The median house sales price jumped $55,000 over the March price to . . .
Since Case-Shiller Indices cover large areas – 5 counties in the SF Metro Area – which themselves contain communities and neighborhoods of widely varying home prices, the C-S chart numbers do not refer to specific prices, but instead reflect home prices as compared to those prevailing in January 2000, which have been designated as having a value of . . .
Consumer confidence is still soaring, and buyers continue to push aside concerns about recent financial market volatility, federal tax law changes affecting Bay Area homeowners, and interest rate increases, to fuel heated neighborhood markets throughout San Francisco. Houses have become the scarce commodity in San Francisco: Few new houses are built in the city anymore, . . .
Out of recession comes recovery; recovery builds into market over-exuberance; over-exuberance leads to negative adjustment; negative adjustment sparks recession. Begin again.The scale, length and triggers of each part of different financial and real estate cycles can vary dramatically, but the stages and their sequence tend to be quite similar. NOTE: This is a condensed version . . .
The real estate markets in the SF Bay Area are parts in an overall economic reality that includes a number of financial, demographic and psychological components – all of which are impacting each other in constantly changing ways. Some are local, and others reflect national or even international events or trends. They often run in . . .
The sources of the data behind the below (and many more) articles: an online survey by a PR company; an analysis of traffic on a real estate website; the alleged cost of a U-Haul to Las Vegas; anecdotal opinions from a handful of venture capitalists on a mid-west bus tour; and new U.S. census data, . . .
Most of the charts below come from the Federal Reserve Bank of St. Louis. We have not had time to comment on each chart and what we believe its significance to be (and, in any case, we are probably unqualified to do so), but you might still find them interesting. Increasing debt levels often play . . .
The great advantage of reviewing annual data is how often the market trend lines clarify into a straightforward dynamic, instead of the constant up and down fluctuations often seen in monthly or quarterly data charts. (Monthly data is constantly being abused by the media, when proper context is not given.) It is similar to standing . . .
So far in 2018, the market seems to have brushed aside any concerns about increasing home prices, rising interest rates, and new federal tax law changes. It is still very early in the year to come to definitive conclusions about where the year is going, but right now, in most market segments, buyer demand is . . .