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Traffic crash casualties

in

Everyone injured or killed in a traffic crash while walking, cycling or riding a scooter or skateboard, by where the crash happened. Casualties are all of them, from minor injuries to deaths. Rates are per 1,000 residents, as on the site's other pages. Each area counts everyone hurt on its streets, wherever they live.

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Traffic crash casualties in Outer Richmond

Sep 2025 to Aug 2026, from the city's crash records, which run about six weeks behind.

In Outer Richmond, 21 people were hurt walking, cycling or riding scooters, Sep 2025 to Aug 2026: 0.49 per 1,000 residents, 0.2 times the citywide rate, 33rd highest of 37 neighborhoods (South of Market is highest, at 8.41). No clear change from Sep 2024 to Aug 2025. 2 were killed or severely injured. Over the five years Sep 2021 to Aug 2026, 2 people died.

Traffic crash casualties in Outer Richmond, Sep 2025 to Aug 2026, by group. Deaths cover Sep 2021 to Aug 2026.
GroupCasualtiesPer 1,000 residents× citywideRankvs a year earlier
Walking, cycling and scooters210.490.2×, city 1.9933-16% (within normal variation)
Walking100.230.3×, city 0.8233-41% (within normal variation)
Cycling90.210.3×, city 0.6727too few to compare
Scooters and skateboards20.050.1×, city 0.5126too few to compare
Killed or severely injured20.050.2×, city 0.2429too few to compare
Deaths (5 years)20.050.3× (within normal variation), city 0.1315
Neighborhoods ranked by people hurt walking, cycling or riding scooters per 1,000 residents, Sep 2025 to Aug 2026
RankNeighborhoodPer 1,000 residents× citywideCasualtiesvs a year earlier
1South of Market8.414.2×217+28%
2Financial District/South Beach6.003.0×147+41%
3Tenderloin5.332.7×171+28%
4Mission4.012.0×221+7% (within normal variation)
5Western Addition3.191.6×71+51%
6Mission Bay2.671.3× (within normal variation)47+42% (within normal variation)
7North Beach2.511.3× (within normal variation)28+4% (within normal variation)
8Chinatown2.321.2× (within normal variation)28-26% (within normal variation)
9Japantown2.24too few to compare9-31% (within normal variation)
10Bayview Hunters Point2.231.1× (within normal variation)84+20% (within normal variation)
11Nob Hill2.211.1× (within normal variation)52+41% (within normal variation)
12Hayes Valley2.171.1× (within normal variation)41-9% (within normal variation)
13Marina2.141.1× (within normal variation)50+61%
14Lone Mountain/USF1.870.9× (within normal variation)30+67% (within normal variation)
15Russian Hill1.790.9× (within normal variation)31+41% (within normal variation)
16Presidio Heights1.520.8× (within normal variation)15+88% (within normal variation)
17Haight Ashbury1.490.8× (within normal variation)25+39% (within normal variation)
18Outer Mission1.340.7×30+36% (within normal variation)
19Castro/Upper Market1.320.7×29+12% (within normal variation)
20Portola1.280.6× (within normal variation)19+6% (within normal variation)
21Potrero Hill1.120.6×18+64% (within normal variation)
22Pacific Heights1.100.6×25+108%
23Bernal Heights1.040.5×25+14% (within normal variation)
24West of Twin Peaks0.840.4×31+3% (within normal variation)
25Excelsior0.810.4×30+11% (within normal variation)
26Oceanview/Merced/Ingleside0.700.3×17+21% (within normal variation)
27Lakeshore0.670.3×8-38% (within normal variation)
28Visitacion Valley0.660.3×11+175% (within normal variation)
29Glen Park0.580.3×5too few to compare
29Noe Valley0.580.3×13+8% (within normal variation)
31Sunset/Parkside0.560.3×42+24% (within normal variation)
32Inner Sunset0.520.3×14+0% (within normal variation)
33Outer Richmond0.490.2×21-16% (within normal variation)
34Inner Richmond0.450.2×9-55% (within normal variation)
35Twin Peaks0.390.2×3too few to compare
36Seacliff0.00too few to compare0too few to compare
36Treasure Island0.00too few to compare0too few to compare
Intersections with the most people hurt in Outer Richmond, Sep 2023 to Aug 2026
IntersectionPeople hurtKilled or severely injured
Point Lobos Ave & Merrie Way41
26th Ave & Geary Blvd40
Geary Blvd & 25th Ave32
21st Ave & Geary Blvd21
18th Ave & Clement St20
18th Ave & Lake St20
California St & 25th Ave20
Clement St & Park Presidio Blvd20
Fulton St & Park Presidio Blvd20
Geary Blvd & 43rd Ave20

Method

People hurt: DataSF Traffic Crashes Resulting in Injury: Victims Involved (nwes-mmgh). It has one row per person injured in a crash the police reported, with the neighborhood where the crash happened. The page counts pedestrians, cyclists and riders of stand-up scooters, skateboards and similar boards. Drivers and passengers of motor vehicles, including mopeds, are not counted. Every degree of injury counts. "Killed or severely injured" uses the record's own fatal and severe injury categories. The city publishes these records monthly, through the end of the month before last, so every period here ends with the last complete month in the data (crashes through Aug 31, 2026, data as of Oct 7, 2026). Deaths: DataSF Traffic Crashes Resulting in Fatality (dau3-4s8f), the Medical Examiner's records of pedestrians, cyclists and stand-up scooter riders who died, counted over Sep 2021 to Aug 2026. Rates divide by residents (2020 to 2024 American Community Survey), the same population the site uses everywhere. "× citywide" compares each neighborhood with the rest of the city, and "vs a year earlier" compares it with the same dates a year before. Each comparison uses an exact test at the 5% level. Neighborhoods come from the record's own neighborhood field. Police districts (today's, in effect since October 1, 2026), supervisor districts and custom areas come from each crash's location, using the same boundaries as the rest of the site, so every period covers the same areas. An area defined as a list of intersections holds the crashes nearest to those intersections. Areas whose resident count is uncertain, and neighborhoods under 1,000 residents, show counts but no rate. The Presidio is federal land, and the U.S. Park Police take crash reports there. It is not covered and not shown. Every casualty counts in the citywide row.

Every figure on this page is also in https://sfresponse.org/data/crashes.json.

Breakdown

Where people were hurt

Neighborhoods ranked by casualties per resident