Between 2015 and 2025 the number of reported collisions in San Jose fell 13 percent and traffic deaths fell 32 percent. Over the same period, severe injuries rose 51 percent. Measured per thousand crashes, the rate of people killed or severely injured rose 46 percent. Fewer crashes, worse outcomes.
−13%
Reported collisions, 2015 to 2025. 5,363 down to 4,657.
−32%
Traffic deaths, 2015 to 2025. 60 down to 41.
+51%
Severe injuries, 2015 to 2025. 146 up to 220.
San Jose, 2015–2025. Red bars mark years at or above 55 per 1,000.
Enter two street names. Figures come from the City of San Jose crash dataset, which the city republishes every Monday.
Covers 2020 to date. Severity rate is the share of reported crashes at that location producing a fatal or severe injury. Reported collisions only.
Ranked by combined fatal and severe injuries, 2020 to date.
| # | Intersection | Killed or severely injured | Crashes | Severity rate |
|---|---|---|---|---|
| 1 | Curtner Ave / Tully Rd & Monterey Rd | 10 | 114 | 8.8% |
| 2 | Capitol Expwy & Senter Rd | 10 | 98 | 10.2% |
| 3 | Capitol Expwy & Quimby Rd | 10 | 71 | 14.1% |
| 4 | King Rd & Story Rd | 9 | 142 | 6.3% |
| 5 | Capitol Ave & McKee Rd | 9 | 117 | 7.7% |
| 6 | Capitol Expwy & Story Rd | 8 | 138 | 5.8% |
| 7 | Bailey Ave & Santa Teresa Blvd | 8 | 46 | 17.4% |
| 8 | La Ragione Ave & Tully Rd | 8 | 18 | 44.4% |
| 9 | Fourth St & Santa Clara St | 7 | 44 | 15.9% |
| 10 | Santa Clara St & Tenth St | 7 | 35 | 20.0% |
Severity rate = share of reported crashes producing a fatal or severe injury.
Highest severity rate among intersections with at least ten crashes. These are not the busiest locations — they are the ones where crashes turn out worst.
| # | Intersection | Severity rate | KSI | Crashes |
|---|---|---|---|---|
| 1 | La Ragione Ave & Tully Rd | 44.4% | 8 | 18 |
| 2 | Price Club Dwy & Story Rd | 38.5% | 5 | 13 |
| 3 | Monroe St & Moorpark Ave | 35.7% | 5 | 14 |
| 4 | Fruitdale Ave & Leigh Ave | 28.6% | 6 | 21 |
| 5 | Monterey Rd & Palm Ave | 23.8% | 5 | 21 |
| 6 | Almaden Expwy & Foxworthy Ave | 23.1% | 6 | 26 |
| 7 | Alma Ave & Seventh St | 22.7% | 5 | 22 |
| 8 | Moorpark Ave & San Tomas Expwy | 21.7% | 5 | 23 |
At La Ragione Avenue and Tully Road, nearly half of all reported crashes produced a fatal or severe injury.
Fatal and severe injuries at the highest-KSI intersections, grouped by the street they sit on.
| # | Corridor | KSI at top intersections |
|---|---|---|
| 1 | Capitol Expressway | 38 |
| 2 | Monterey Road | 25 |
| 3 | Tully Road | 24 |
| 4 | Story Road | 22 |
| 5 | McKee Road | 20 |
| 6 | Almaden Expressway | 17 |
| 7 | Blossom Hill Road | 15 |
| 8 | Capitol Avenue | 14 |
| 9 | Santa Clara Street | 14 |
| 10 | Bailey Avenue | 13 |
Capitol Expressway alone accounts for more fatal and severe injuries than any other corridor in the ranking.
Source. City of San Jose Crash Locations dataset, published by the Department of Transportation from San Jose Police Department collision reports and updated weekly. Licensed Creative Commons Attribution. Analysis run September 2026.
Definitions. KSI means killed or severely injured, using the dataset's own fatal-injury and severe-injury counts. Severity rate is KSI divided by reported crashes at that location. Intersection rankings cover 2020 to date; the trend analysis covers full calendar years 2015 through 2025.
2026 is excluded. The partial year shows 132 crashes alongside 143 fatal and severe injuries — an impossible ratio that reflects reporting lag, where serious collisions are entered promptly and minor ones are not. Including it would have produced a dramatic and completely false spike.
Hit-and-run data is excluded. The dataset's hit-and-run flag records almost nothing before 2022 and then jumps sharply. That is a change in how the field was recorded, not a change in driver behaviour. Publishing it as a trend would have been wrong, and it is the kind of figure that gets repeated once it appears somewhere.
Known limits. These are reported collisions only; unreported crashes are invisible. Intersection names come from the city's own street fields, so a location can appear under more than one label. No exposure adjustment has been made — a busier intersection will tend to accumulate more crashes without necessarily being more dangerous, which is why the severity-rate table is shown separately from the raw count.
A 13 percent drop in collisions alongside a 51 percent rise in severe injuries is not a contradiction, and it is not noise. It is the pattern traffic-safety researchers have been describing nationally for a decade: fewer collisions overall, but a larger share of the remaining ones producing life-altering harm.
The usual explanations are vehicle mass and speed. Larger vehicles transfer more energy to whatever they strike, and pedestrians and cyclists absorb that energy directly. Wider, faster arterial roads produce fewer but more severe impacts than dense street grids. Neither factor shows up in a raw crash count, which is why a city can report improving numbers while the injuries getting through the system get worse.
King Road and Story Road recorded the most crashes of any intersection in the ranking — 142 — but its severity rate is 6.3 percent. La Ragione Avenue and Tully Road recorded 18 crashes, and 44 percent of them produced a fatal or severe injury. On a raw count, the second location is invisible. On outcome, it is the most dangerous place in the dataset.
That distinction matters for anyone trying to understand their own collision. A crash at a high-volume intersection is a common event with a common outcome. A crash at a location with a severity profile like La Ragione and Tully is not, and the evidence that explains why — approach speed, sightlines, signal timing, roadway design — is the evidence that matters in a claim.
A documented history of severe collisions at a specific intersection is a fact about the roadway, not about the driver. Where a public entity knew or should have known about a dangerous condition and failed to correct it, California law provides a route to liability under Cal. Gov. Code section 835. That is a demanding standard and it is not established by a crash count alone, but a location with a persistent severe-injury record is where the question is worth asking.
The deadline is the trap. A claim against a city, county or public agency requires an administrative claim within six months under Cal. Gov. Code section 911.2 — not the two years that applies to an ordinary injury claim under Cal. Code Civ. Proc. section 335.1. People routinely discover the roadway-design angle long after the six-month window has closed on it.
Evidence at these locations degrades on the same schedule as everywhere else. Signal timing records, maintenance logs, prior complaint records and camera footage are all obtainable, and all of them are easier to obtain early. The city publishes this crash data weekly; the records that explain a specific collision do not surface on their own.
The underlying dataset is public and free. Journalists, neighbourhood associations, safety advocates and city staff are welcome to reuse this analysis with attribution. The figures above can be reproduced directly from the City of San Jose open data portal, and the method section states every choice made in producing them.
Public crash data describes reported collisions, which is not the same as all collisions. Minor crashes settled between drivers without a police response never enter the record, and reporting practices vary between agencies and over time. A change in a number can reflect a change in reporting rather than a change in what happened on the road.
Raw counts also mislead without exposure data. A corridor carrying four times the traffic volume will show more collisions than a quieter street without being more dangerous per trip. Rates normalized by vehicle miles traveled or by intersection volume answer a different and more useful question than counts alone.
For a specific claim, none of this substitutes for the collision report, the scene evidence and the treating record. Aggregate data describes patterns across a city. It does not establish what happened in one intersection on one afternoon.
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