San Francisco home growth vs BTC
Across the full published history, the San Francisco typical home value rose 51.1%, while BTC spot price rose 16965.4%. The chart recalculates its indexed readings from the selected range’s first shared observation.
- Typical home value (ZHVI)
- San Francisco city
- monthly
- Indexed to 100
- Home growth
- +51.1%
- 2014-09 to 2026-08
- BTC growth
- +16965.4%
- Selected range
- Growth gap
- -16914.3 pp
- Home minus asset
- Frequency
- monthly
- Aligned observations
In the selected Max range, San Francisco typical home value changed +51.1%, BTC spot price changed +16965.4%, and the home-minus-asset gap was -16914.3 pp.
| Series | First | Latest | Min | Max |
|---|---|---|---|---|
| San Francisco typical home value | 100.0 | 151.1 | 100.0 | 158.4 |
| BTC spot price | 100.0 | 17065.4 | 57.4 | 28332.1 |
How this is calculated
Series value ÷ first available value in selected range × 100Each line starts at 100 using the first shared observation available in the selected range. A reading of 150 means that series has risen 50% since that period.
Housing value as published for the calendar month; asset and FX prices are arithmetic means of their available daily closes in the same calendar month.
What the comparison shows
The indexed lines compare percentage growth, not price levels. A widening gap means one series has grown faster since the selected range began; it does not mean the two assets have the same value or risk.
Frequently asked questions
12 answersHow is San Francisco home growth compared with BTC?
The aligned home-value and BTC price series are each divided by their first shared observation in the selected range and multiplied by 100.
Why do both lines begin at 100?
A common starting index removes the difference in original price levels. A reading of 150 means that series has grown 50% since the selected range began.
What does the percentage-point gap show?
It is San Francisco home growth minus BTC growth over the selected range. A negative gap means BTC grew faster.
Is this a total-return comparison?
No. The chart compares the published home-value measure with the asset price. It excludes dividends, rental income, transaction costs, financing, maintenance, and taxes.
Where do the San Francisco housing and BTC data come from?
Zillow Home Value Index supplies the housing series for San Francisco city. The BTC series uses BTC-USD from the asset source linked beside the chart. Both are aligned to the page’s monthly frequency.
How many observations are included?
144 aligned observations are shown from 2014-09-30 through 2026-08-31. All are marked complete.
Can the latest growth reading change after publication?
Yes. Zillow may revise the full historical ZHVI series when its model or source data changes. The page was derived from housing data fetched on 2026-09-18, and later source revisions can change the indexed path and growth gap.
Does a wider growth gap imply causation?
No. The gap describes the difference between San Francisco home growth and BTC price growth over the selected range. It does not show that either series caused the other or predict what happens next.
How sensitive is the growth gap to the selected start date?
The gap can be highly sensitive to the base period because both series reset to 100 at the range’s first shared observation. The 1Y, 5Y, 10Y, and Max views answer different historical questions and should be labelled with their chosen window.
Is the growth gap a measure of statistical significance?
No. It is an arithmetic difference between two indexed growth rates. The page does not estimate confidence intervals, volatility-adjusted performance, correlation, or statistical significance.
How do currency moves affect BTC growth?
The housing measure and BTC are both quoted in USD, so this page does not introduce a cross-currency conversion.
How should I cite this observation?
Cite the PIER20 page and access date, then identify Zillow Home Value Index as the housing source and BTC-USD as the asset series. State that the comparison runs through 2026-08-31 and uses monthly aligned observations.