DROP · THEFT FROM VEHICLESEPTEMBER 2026 BRIEFINGSAN FRANCISCO · 24.1K residents

Bernal Heights Crime Rate Trends — San Francisco

Bernal Heights is a hilltop residential neighborhood south of the Mission, organized around the open green space of Bernal Heights Park and the cafes and shops of Cortland Avenue. Predominantly single-family Victorian and stucco homes, it draws families and longtime San Franciscans for its panoramic city views and quiet streets.

THEFT FROM VEHICLE · 24-MO COUNT09 2026 · 5
0153012-mo avg: 8.3
BERNAL HEIGHTSCITYWIDE TREND (RESCALED)-39% 12MO YOY
-44%MoM
-46%12mo YoY
99last 12mo
5this month
01 · TL;DR

Six categories moved in Bernal Heights this September, split evenly between one-month below-trend signals and sustained multi-month structural shifts. The overall shape is broadly downward across property and violent crime, with no spikes and no rare events in the mix.

Theft from vehicle, vandalism, and aggravated assault are the three strongest signals, all running below trend. Theft from vehicle is the most notable: the trailing 12 months came in at 99 incidents against 182 in the prior year, down 45.6%. Aggravated assault fell 26.5% on the same comparison, 50 incidents against 68, and vandalism dropped 23.5%, from 162 to 124. The three sustained-shift signals reinforce that these are not single-month moves; the declines in Bernal Heights extend across the multi-year window.

3 drops3 sustained shifts
02 · Notable signals

Notable signals 3

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 99 incidents — about 75% below the 391 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 124 incidents — about 46% below the 231 average from prior years.

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 50 incidents — about 38% below the 81 average from prior years.

03 · By category

All categories, last 24 months

Each panel: recent monthly count vs. trailing 12-month context. MoM is the most recent month vs. the one before; 12mo YoY compares the trailing year to the year before that.

Homicidebelow threshold
2024-102026-09
Robbery-18%
2024-102026-09
Aggravated Assault-27%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary-4%
2024-102026-09
Theft from Vehicle-46%
2024-102026-09
Other Larceny-58%
2024-102026-09
Motor Vehicle Theft-33%
2024-102026-09
Vandalism-24%
2024-102026-09
Arsonbelow threshold
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 2026, with a likely range we're 95% confident the actual count will fall inside. Categories with too little recent volume — or violent categories at the neighborhood level — show no forecast and are surfaced through signals above instead. See the methodology page for the gating rules.

Aggravated Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Arson

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Burglary

OCTOBER 2026
Most likely 15 next month — likely between 2 and 27.
+60% vs 12-month average (≈9.1)

Homicide

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Motor Vehicle Theft

OCTOBER 2026
Most likely 9 next month — likely between 0 and 21.
+21% vs 12-month average (≈7.8)

Other Larceny

OCTOBER 2026
Most likely 25 next month — likely between 8 and 41.
+77% vs 12-month average (≈13.8)

Robbery

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Sexual Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Theft from Vehicle

OCTOBER 2026
Most likely 12 next month — likely between 0 and 29.
+48% vs 12-month average (≈8.3)

Vandalism

OCTOBER 2026
Most likely 11 next month — likely between 1 and 20.
+9% vs 12-month average (≈10.3)
06 · Context & comps

How Bernal Heights compares

Peer neighborhoods picked by closest 12-month theft from vehicle volume — a pragmatic v1 of peer matching. Demographic / housing-stock peer matching isn't built yet (we deliberately don't ingest income or race data alongside crime). Volume similarity has the right intuition: “neighborhoods experiencing comparable theft from vehicle levels.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Bernal Heights, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

warrantrecoveredforcibleshopliftingforcelicensepossessionunlawfulaggravatedtrafficfoundinvestigationlostdrivingbldgcaseweaponfraudulentlockedplatesuspiciousunlockedofficernarcoticsoccurrence
When does it happen?

Hour-of-day, day-of-week, and seasonality

Distribution of bucketed incidents in this neighborhood across the full analysis window. Useful for routine context — shopping-strip thefts vs. late-night assaults read very differently when you can see when each typically happens.

HOUR OF DAY · ALL CATEGORIES
049699112am6am12pm6pm11pm

Hour 0 is mildly inflated by reports without a known time defaulting to midnight — see methodology.

DAY OF WEEK · ALL CATEGORIES
01,0682,136MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
06341,268JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset on DataSF, mapped to 10 NIBRS-aligned categories, and aggregated to neighborhood × category × month.Anomalies are surfaced using strict thresholds (~p < 0.01). Forecasts are Prophet with low-count gating; violent categories at the neighborhood level skip the forecast and show rare-event / streak signals instead.

Spike rule: 12-mo total > baseline mean + 2.5σ AND ≥ 20 incidents AND 6-mo confirms. Drop rule: 12-mo total < baseline mean − 2.5σ AND baseline mean ≥ 20. Rare event: any incident in the last 90 days, no prior comparable in ≥ 5 years.