property nerds · data libraryfrom the mlsclosed sales 2012–2026by the boyenga team at compass
The Property Nerds® data library
Every dataset behind our Silicon Valley market pages, in one catalog: what it measures, where it comes from, how it’s built, and where to download and cite it.
- 10datasets
- 260,554closed sales since 2012
- 2012–2026years of history
- 31cities, plus San Francisco
the catalog
Every dataset
One card per dataset. Each page has the full method and sample sizes, and PN-DS-01 to PN-DS-08 and PN-DS-10 each have a CSV built from the same numbers you see on the page.
PN-DS-01Weekly
Property Nerds® Silicon Valley Housing Market Index™
A 0–100 reading of how competitive the market is, from sale-to-list, the share of homes selling over asking, months of supply and the share of listings with a price cut, plus a monthly sales-side history since 2012.
- where
- Silicon Valley, both counties, San Francisco, every city
- when
- Weekly readings since 2026-10-18; monthly history from 2012
PN-DS-02Read October 2026
Home Price History
Median sale price and median price per square foot for every city, every year since 2012, with the 2022 dip and recovery.
- where
- Silicon Valley, both counties, San Francisco (from 2022), every city
- when
- 2012 – September 2026
PN-DS-03Read October 2026
Best Month to Sell
How sales in each closing month compared: the over-asking share, sale-to-list and price per square foot against the year’s median, by city.
- where
- Silicon Valley, both counties, San Francisco, every city
- when
- 2012–2025 (San Francisco 2022–2025)
PN-DS-04Read October 2026
The $1M Line
The share of sales in each price band, under $1M up to $5M and over, for every city and year since 2012.
- where
- Silicon Valley, both counties, San Francisco (from 2022), every city
- when
- 2012 – September 2026
PN-DS-05Read October 2026
Bidding Wars by Price
How often homes at each price sold over asking, every year since 2012, and each city’s hottest price band now.
- where
- Silicon Valley, both counties, San Francisco (from 2022), every city
- when
- 2012 – September 2026
PN-DS-06Read October 2026
How Much Over Asking
The overbid in dollars: how far over list homes sold, every month since 2012, by price band and city.
- where
- Silicon Valley, both counties, San Francisco (from 2022), every city
- when
- 2012 – September 2026
PN-DS-07Read October 2026
Homes Selling Under Asking
The buyer’s side: how often homes sold under, at and over list, the typical discount, and the months with the most room.
- where
- Silicon Valley, both counties, San Francisco (from 2022), every city
- when
- 2012 – September 2026
PN-DS-08Read October 2026
What $1 Million Buys
Square feet per $1 million (or any budget up to $5M) at each city’s median price per square foot, against 2012.
- where
- Silicon Valley, both counties, San Francisco (from 2022), every city
- when
- 2012 – September 2026
PN-DS-09With the datasets above
City Scorecard
One datasheet per city that gathers the headline figure from each dataset above, with a sortable table.
- where
- Silicon Valley, both counties, San Francisco, every city
- when
- Last 12 months and January 2024 – September 2026
PN-DS-10Read October 2026
Price Ladder
The entry price (10th percentile), lower quarter, median, upper quarter and top end (90th percentile) of closed sale prices for every city, every year since 2012, with the share of sales that were houses.
- where
- Silicon Valley, both counties, San Francisco (from 2022), every city
- when
- 2012 – September 2026
definitions
Terms, defined once
Terms used across the datasets, defined once.
- Closed sale
- A sale reported to the MLS as closed, dated by its closing date. Houses, condos and townhomes; homes sold without an MLS listing aren’t included.
- Repeat records
- The same sale often arrives through more than one feed. Each sale is counted once, matched on a normalized address and sale date.
- Data errors left out
- Sales recorded at under 50% or over 200% of list price are dropped as likely data errors.
- Final list price
- The asking price at the time of sale, after any price cuts.
- Over / at / under asking
- Closing price above, equal to or below the final list price.
- Sale-to-list
- Closing price ÷ final list price. 1.00 (100%) means the home sold at list.
- Overbid and discount
- Closing price minus list (overbid) or list minus closing price (discount), among sales that closed over or under asking.
- Median
- The middle value. Each figure states its sample size; small towns with few sales are flagged.
- Percentile
- The price at or below which a given share of sales closed. The 10th percentile (our entry price) means 1 in 10 sales closed at or below it; the 90th (the top end), 9 in 10.
- Nominal dollars
- Prices as paid, not adjusted for inflation.
- Silicon Valley
- The 31 cities we cover in Santa Clara County (including Morgan Hill and Gilroy) and bay-side San Mateo County (including East Palo Alto). San Francisco is shown alongside, from 2022.
coverage
The places covered
Every dataset covers the same places.
- Santa Clara County
- Campbell, Cupertino, Gilroy, Los Altos, Los Altos Hills, Los Gatos, Milpitas, Monte Sereno, Morgan Hill, Mountain View, Palo Alto, San Jose, Santa Clara, Saratoga, Sunnyvale
- San Mateo County (bay side)
- Atherton, Belmont, Burlingame, Daly City, East Palo Alto, Foster City, Hillsborough, Menlo Park, Millbrae, Portola Valley, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Woodside
- Also shown
- San Francisco, from 2022
release log
Release log
Every release, newest first.
| date | dataset | release |
|---|---|---|
| 2026-10-19 | PN-DS-10 | Price Ladder first published. |
| 2026-10-19 | PN-DS-09 | Market Map published: the City Scorecard’s figures drawn as a tile map. No new data. |
| 2026-10-19 | PN-DS-09 | City Scorecard first published. |
| 2026-10-19 | PN-DS-08 | What $1 Million Buys first published. |
| 2026-10-19 | PN-DS-07 | Homes Selling Under Asking first published. |
| 2026-10-18 | PN-DS-06 | How Much Over Asking first published. |
| 2026-10-18 | PN-DS-05 | Bidding Wars by Price first published. |
| 2026-10-18 | PN-DS-04 | The $1M Line first published. |
| 2026-10-18 | PN-DS-03 | Best Month to Sell first published. |
| 2026-10-18 | PN-DS-02 | Home Price History first published. |
| 2026-10-18 | PN-DS-01 | Index method version 1.0; first weekly reading. |
cite it
How to cite
If you quote a figure, please credit the Boyenga Team and link to the page it came from.
Boyenga Team. “[Dataset name],” Property Nerds® Data Library, from closed MLS sales, [month year]. https://www.boyengateam.com/[page]
For example
Boyenga Team. “How Much Over Asking: The Silicon Valley Overbid in Dollars, 2012–2026,” Property Nerds® Data Library, from closed MLS sales, October 2026. https://www.boyengateam.com/how-much-over-asking
Spot something that looks wrong? Call us at (408) 373-1660 or (650) 383-8606 and we’ll check it.
questions
Questions we hear
Where does the data come from?
From closed sales reported to the MLS, read through the IDX feeds that power our home search. Homes sold without an MLS listing aren’t included.
How should I cite a figure?
Credit the Boyenga Team and link to the page the figure came from. PN-DS-01 to PN-DS-08 each have a ready-to-copy citation in their data sections.
How do I download a dataset?
Open the dataset’s page and use the CSV button in its data section. The CSV holds the same numbers shown on the page.
How often is the data updated?
The Property Nerds® Silicon Valley Housing Market Index™ is read weekly. The other datasets show the date they were read and the months they cover.
Why do some small towns show fewer figures?
Medians from a handful of sales swing a lot, so each dataset sets a minimum number of sales and flags small samples.
Are prices adjusted for inflation?
No. All dollar figures are nominal, the prices buyers actually paid.
Is any of this a forecast or a home value?
No. The datasets describe past sales. A home’s value comes from the closest recent matching sales.
more to learn
Go deeper
- Property Nerds IndexThis week’s 0–100 reading of market heat.
- City ScorecardEvery city’s numbers on one spec sheet.
- Market MapThe scorecard’s numbers as a tile map.
- City Data BriefsEach city’s numbers from every dataset, in one read.
- Property Nerd LabEvery tool, guide and calculator.
- Market PulseLive listings and recent sales, city by city.
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. The datasets describe past sales, not any single home or a forecast.
talk to a property nerd
Need a number that isn’t here?
Ask a Property Nerd. We can pull the sales behind a specific neighborhood, price range or home type. Commissions are negotiable, and we offer bundled services, so ask us what’s included.
