DROP · MOTOR VEHICLE THEFTAUGUST 2026 BRIEFINGSAN FRANCISCO · 24.5K residents

Financial District/South Beach Crime Rate Trends — San Francisco

The Financial District is San Francisco's downtown business core — the city's tallest skyline, including Salesforce Tower and the Transamerica Pyramid, sits within its boundaries. South Beach extends the district to the Embarcadero waterfront and Oracle Park, mixing high-rise condos and corporate offices with a public bayfront promenade.

MOTOR VEHICLE THEFT · 24-MO COUNT08 2026 · 12
0173512-mo avg: 13.3
FINANCIAL DISTRICT/SOUTH BEACHCITYWIDE TREND (RESCALED)-31% 12MO YOY
-52%MoM
-32%12mo YoY
159last 12mo
12this month
01 · TL;DR

Eight categories moved in Financial District/South Beach this August briefing. Five registered as sustained shifts, structural multi-month declines rather than one quiet month, and three came in as single-month below-trend signals. The overall shape is broadly and consistently downward across both property and violent crime.

Motor vehicle theft is the strongest single signal, with 159 incidents over the current 12 months against 233 in the prior year, down 31.8%. Vandalism and aggravated assault also ran below trend this month, while the 12-month totals for burglary and theft from vehicle show the scale of the longer move: burglary at 216 vs. 327 a year ago, theft from vehicle at 270 vs. 455. Arson is the one category running above its prior-year pace, up 12.5% on a small base of 18 incidents, and everything else remained within the downward structural pattern.

3 drops5 sustained shifts
02 · Notable signals

Notable signals 3

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 159 incidents — about 36% below the 249 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 298 incidents — about 56% below the 678 average from prior years.

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 89 incidents — about 38% below the 143 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
2024-092026-08
Robbery-17%
2024-092026-08
Aggravated Assault-30%
2024-092026-08
Sexual Assaultbelow threshold
2024-092026-08
Burglary-34%
2024-092026-08
Theft from Vehicle-41%
2024-092026-08
Other Larceny-27%
2024-092026-08
Motor Vehicle Theft-32%
2024-092026-08
Vandalism-23%
2024-092026-08
Arson+13%
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 11 next month — likely between 0 and 31.
37% vs 12-month average (≈18.0)

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

SEPTEMBER 2026
Most likely 19 next month — likely between 9 and 30.
+46% vs 12-month average (≈13.3)

Other Larceny

SEPTEMBER 2026
Most likely 86 next month — likely between 17 and 157.
+31% vs 12-month average (≈65.9)

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

SEPTEMBER 2026
Most likely 48 next month — likely between 0 and 138.
+115% vs 12-month average (≈22.5)

Vandalism

SEPTEMBER 2026
Most likely 21 next month — likely between 1 and 42.
16% vs 12-month average (≈24.8)
06 · Context & comps

How Financial District/South Beach compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

shopliftingwarrantlostlockedfoundsuspiciouspossessionfraudulentbuildingoccurrencetrespassingforciblephoneunlawfulcardforceofficeraggravatedcaseweaponcreditaccessterroristthreatsincl
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
01,7193,43812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
03,4336,866MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
02,0744,148JanFebMarAprMayJunJulAugSepOctNovDec
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.