property nerds · then & nowfrom the mlsclosed sales 2012–2026by the boyenga team at compass
Then and now, at the city’s pace
Pick a city, the year you bought and what you paid. We scale that price by how far the city’s median price per square foot has moved since then, using closed MLS sales. Across Silicon Valley, the median price per square foot is 2.60× its 2012 level and 1.05× its 2022 level.
A quick read on how a city’s prices moved since your purchase year, not a value for your home. Price per square foot is a city-wide median across houses, condos and townhomes.
From 18,401 sales in 2015 and 15,237 in the last 12 months. A city-wide median, not a value for any one home.
every city, every year
Growth since the year you bought
Each cell is the city’s median price per square foot over the last 12 months divided by its median in the year shown. Cells under 1.00× are outlined: the city’s median is still below that year’s.
| area | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Silicon Valley | 2.60 | 2.12 | 1.92 | 1.68 | 1.56 | 1.42 | 1.22 | 1.29 | 1.24 | 1.12 | 1.05 | 1.06 | 1.00 | 0.99 |
| Santa Clara County | 2.70 | 2.19 | 2.00 | 1.76 | 1.64 | 1.48 | 1.26 | 1.35 | 1.30 | 1.14 | 1.06 | 1.06 | 0.99 | 0.98 |
| San Mateo County | 2.32 | 1.92 | 1.70 | 1.49 | 1.40 | 1.26 | 1.14 | 1.17 | 1.15 | 1.05 | 1.04 | 1.07 | 1.03 | 1.03 |
| Belmont | 2.49 | 2.05 | 1.82 | 1.58 | 1.49 | 1.38 | 1.25 | 1.30 | 1.22 | 1.07 | 1.04 | 1.13 | 1.03 | 1.05 |
| Burlingame | 2.38 | 2.06 | 1.76 | 1.59 | 1.55 | 1.38 | 1.27 | 1.29 | 1.22 | 1.16 | 1.05 | 1.11 | 1.08 | 1.08 |
| Campbell | 2.76 | 2.35 | 2.09 | 1.85 | 1.68 | 1.48 | 1.32 | 1.44 | 1.41 | 1.22 | 1.08 | 1.08 | 1.04 | 0.98 |
| Cupertino | 2.49 | 2.13 | 1.90 | 1.67 | 1.61 | 1.46 | 1.29 | 1.40 | 1.31 | 1.20 | 1.14 | 1.07 | 1.07 | 1.12 |
| Daly City | 2.34 | 1.91 | 1.65 | 1.45 | 1.34 | 1.20 | 1.09 | 1.09 | 1.10 | 1.00 | 0.96 | 1.04 | 1.02 | 1.02 |
| Foster City | 2.02 | 1.75 | 1.53 | 1.28 | 1.27 | 1.12 | 1.01 | 1.07 | 1.07 | 0.98 | 0.93 | 0.96 | 0.94 | 0.93 |
| Gilroy | 2.61 | 2.00 | 1.81 | 1.70 | 1.55 | 1.48 | 1.33 | 1.34 | 1.32 | 1.13 | 0.98 | 1.03 | 0.98 | 0.99 |
| Hillsborough | 2.28 | 1.98 | 1.86 | 1.59 | 1.56 | 1.51 | 1.33 | 1.46 | 1.40 | 1.23 | 1.11 | 1.20 | 1.17 | 1.08 |
| Los Altos | 2.48 | 2.25 | 1.90 | 1.65 | 1.63 | 1.54 | 1.33 | 1.42 | 1.44 | 1.22 | 1.12 | 1.19 | 1.06 | 1.02 |
| Los Gatos | 2.19 | 1.95 | 1.87 | 1.59 | 1.54 | 1.38 | 1.31 | 1.33 | 1.28 | 1.14 | 1.02 | 1.03 | 0.99 | 1.02 |
| Menlo Park | 2.17 | 2.01 | 1.70 | 1.52 | 1.52 | 1.37 | 1.21 | 1.25 | 1.22 | 1.12 | 1.06 | 1.10 | 1.11 | 1.03 |
| Millbrae | 2.11 | 1.85 | 1.56 | 1.43 | 1.31 | 1.24 | 1.11 | 1.14 | 1.13 | 1.03 | 0.99 | 1.06 | 0.97 | 0.97 |
| Milpitas | 2.54 | 2.05 | 1.85 | 1.61 | 1.47 | 1.36 | 1.13 | 1.22 | 1.19 | 1.09 | 0.98 | 0.99 | 0.94 | 0.94 |
| Morgan Hill | 2.51 | 2.10 | 1.90 | 1.77 | 1.63 | 1.56 | 1.42 | 1.44 | 1.37 | 1.15 | 1.01 | 1.07 | 1.02 | 1.02 |
| Mountain View | 2.14 | 1.90 | 1.62 | 1.30 | 1.29 | 1.14 | 1.01 | 1.08 | 1.05 | 1.03 | 0.99 | 0.99 | 0.96 | 0.98 |
| Palo Alto | 2.20 | 1.89 | 1.62 | 1.40 | 1.43 | 1.33 | 1.22 | 1.27 | 1.26 | 1.18 | 1.13 | 1.15 | 1.09 | 1.04 |
| Redwood City | 2.49 | 2.06 | 1.83 | 1.53 | 1.43 | 1.31 | 1.20 | 1.24 | 1.20 | 1.11 | 1.06 | 1.10 | 1.04 | 1.03 |
| San Bruno | 2.63 | 1.94 | 1.78 | 1.52 | 1.37 | 1.29 | 1.08 | 1.09 | 1.08 | 1.04 | 0.99 | 1.04 | 1.06 | 1.03 |
| San Carlos | 2.42 | 2.04 | 1.76 | 1.61 | 1.48 | 1.37 | 1.22 | 1.28 | 1.18 | 1.10 | 1.06 | 1.11 | 1.06 | 1.03 |
| San Jose | 2.81 | 2.20 | 2.01 | 1.79 | 1.66 | 1.51 | 1.28 | 1.36 | 1.30 | 1.14 | 1.05 | 1.06 | 0.99 | 0.99 |
| San Mateo | 2.42 | 2.04 | 1.77 | 1.53 | 1.44 | 1.28 | 1.18 | 1.22 | 1.18 | 1.11 | 1.07 | 1.13 | 1.05 | 1.05 |
| Santa Clara | 2.78 | 2.31 | 2.04 | 1.75 | 1.61 | 1.42 | 1.18 | 1.31 | 1.24 | 1.22 | 1.10 | 1.10 | 1.02 | 1.02 |
| Saratoga | 2.43 | 2.17 | 1.94 | 1.79 | 1.73 | 1.57 | 1.39 | 1.51 | 1.45 | 1.20 | 1.07 | 1.07 | 1.00 | 1.00 |
| South San Francisco | 2.41 | 1.87 | 1.73 | 1.47 | 1.41 | 1.27 | 1.11 | 1.12 | 1.09 | 1.00 | 0.98 | 1.01 | 1.02 | 1.00 |
| Sunnyvale | 2.70 | 2.27 | 1.95 | 1.61 | 1.54 | 1.34 | 1.14 | 1.25 | 1.21 | 1.18 | 1.09 | 1.05 | 0.97 | 0.98 |
| San Francisco | — | — | — | — | — | — | — | — | — | — | 1.03 | 1.13 | 1.11 | 1.10 |
under 1.00×1.00–1.24×1.25–1.49×1.50–1.99×2.00–2.49×2.50× and up
Last 12 months = October 2025 – September 2026. San Francisco starts in 2022. Cities with fewer than 100 sales in the last 12 months are left out.
bought in 2022
Where 2022 buyers stand
Calendar 2022 holds the spring peak and the dip that followed. Against that year as a whole, Silicon Valley’s median price per square foot is 5% higher. In 8 of the 25 cities with 100+ sales it’s still lower: Daly City, Foster City, Gilroy, Millbrae, Milpitas, Mountain View, San Bruno and South San Francisco.
- Foster City0.93×
- Daly City0.96×
- Gilroy0.98×
- Milpitas0.98×
- South San Francisco0.98×
- Millbrae0.99×
- Mountain View0.99×
- San Bruno0.99×
- Morgan Hill1.01×
- Los Gatos1.02×
- Belmont1.04×
- Burlingame1.05×
- San Jose1.05×
- Menlo Park1.06×
- Redwood City1.06×
- San Carlos1.06×
- San Mateo1.07×
- Saratoga1.07×
- Campbell1.08×
- Sunnyvale1.09×
- Santa Clara1.10×
- Hillsborough1.11×
- Los Altos1.12×
- Palo Alto1.13×
- Cupertino1.14×
Bars run left of the line where the city’s median price per square foot over the last 12 months is below its 2022 median, right where it’s above; the scale ends at ±15%.
the method
How the calculator works
A ratio of medians from the same archive as our other datasets.
- The math
- Today’s figure = what you paid × (median price per square foot over the last 12 months ÷ median price per square foot in your purchase year), rounded to the nearest $10,000. The yearly rate assumes a purchase mid-year and a ‘now’ of April 2026, the middle of the last 12 months.
- The data
- Closed sales reported to the MLS, read through the IDX feeds that power our home search, with repeat records removed. Houses, condos and townhomes are counted together. San Francisco starts in 2022.
- Which cities
- Silicon Valley, both counties and the 25 cities with at least 100 sales in the last 12 months. Smaller towns swing too much from year to year for a reliable ratio.
- Why price per square foot
- It’s less thrown off by the mix of home sizes than the median price, but it still moves with the mix of home types and neighborhoods that sold.
- What it isn’t
- Not an appraisal, a valuation or a forecast. A home’s value comes from its own condition, lot, location and the closest recent sales.
questions
Questions we hear
How does the calculator work?
It multiplies what you paid by the change in the city’s median price per square foot, from your purchase year to the last 12 months (October 2025 – September 2026). Across Silicon Valley that change is 2.60× since 2012, 1.29× since 2019 and 1.05× since 2022.
Is this what my home is worth?
No. It shows how the city’s prices moved, not your home. Remodels, lot size, condition and the exact neighborhood matter more, and the closest recent sales are the best guide.
Where did prices grow most since 2012?
Among the 25 cities with 100+ sales in the last 12 months: San Jose (2.81×), Santa Clara (2.78×) and Campbell (2.76×). The slowest were Foster City (2.02×), Millbrae (2.11×) and Mountain View (2.14×).
What if I bought in 2022?
Across Silicon Valley the median price per square foot is 5% above its 2022 level. In 8 of the 25 cities it’s still below: Daly City, Foster City, Gilroy, Millbrae, Milpitas, Mountain View, San Bruno and South San Francisco.
Why price per square foot instead of the median price?
It’s less affected by the size of the homes that happened to sell. It still blends houses, condos and townhomes, so a single house may have moved differently.
Is it adjusted for inflation?
No. Both prices are in the dollars of the day.
Can I download the numbers?
Yes. Every city’s median price per square foot by year, with sales counts, is on Home Price History with a CSV.
more to learn
Go deeper
- Home Price HistoryEvery city’s median price and price per square foot since 2012.
- Price LadderEntry, median and top-end prices by city.
- What $1 Million BuysSquare feet per $1M in every city, 2012 against now.
- City Data BriefsEach city’s numbers from every dataset, in one read.
- Data LibraryEvery dataset, with methods and downloads.
Based on closed sales reported to the MLS through our IDX feeds, read in October 2026. Shown as reported and not guaranteed; repeat records are removed. Figures describe city-wide medians of past sales, not any single home or a forecast.
talk to a property nerd
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