DROP · MOTOR VEHICLE THEFTJUNE 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 COUNT06 2026 · 13
0183712-mo avg: 12.3
FINANCIAL DISTRICT/SOUTH BEACHCITYWIDE TREND (RESCALED)-38% 12MO YOY
-13%MoM
-44%12mo YoY
148last 12mo
13this month
01 · TL;DR

Nine categories moved in Financial District/South Beach this June — two one-month below-trend drops and seven sustained structural shifts. The dominant shape is a broad, multi-year pullback across nearly every tracked category, not a single quiet month but a pattern that has been building across the trailing 12 months.

Motor Vehicle Theft is the sharpest single-month signal, running well below its multi-year baseline of 249.16 annual incidents — the current 12-month total stands at 148, down 43.7% against the prior year's 263. Vandalism also registered a one-month drop, while Robbery is among seven categories showing sustained structural declines: 71 incidents in the current 12 months against 113 in the year before, a 37.2% reduction. Theft from Vehicle has the steepest 12-month move of any category — down 50.6%, 271 incidents against 549 — and every other tracked category, from Aggravated Assault to Arson, is running below its prior-year level as well.

2 drops7 sustained shifts
02 · Notable signals

Notable signals 2

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 148 incidents — about 41% below the 249 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 310 incidents — about 55% below the 685 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
2024-072026-06
Robbery-37%
2024-072026-06
Aggravated Assault-29%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary-32%
2024-072026-06
Theft from Vehicle-51%
2024-072026-06
Other Larceny-35%
2024-072026-06
Motor Vehicle Theft-44%
2024-072026-06
Vandalism-26%
2024-072026-06
Arson-15%
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 16 next month — likely between 0 and 37.
16% vs 12-month average (≈19.6)

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

JULY 2026
Most likely 22 next month — likely between 11 and 33.
+77% vs 12-month average (≈12.3)

Other Larceny

JULY 2026
Most likely 91 next month — likely between 25 and 158.
+42% vs 12-month average (≈64.4)

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

JULY 2026
Most likely 44 next month — likely between 0 and 135.
+97% vs 12-month average (≈22.6)

Vandalism

JULY 2026
Most likely 36 next month — likely between 14 and 59.
+38% vs 12-month average (≈25.8)
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.

shopliftinglostwarrantlockedfoundforciblesuspiciousfraudulentpossessionoccurrencetrespassingphonebuildingcardcaseaggravatedforcecreditunlawfulofficeraccessinclpickpocketbldginvestigation
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
01,7053,41012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
03,3956,790MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,9833,967JanFebMarAprMayJunJulAugSepOctNovDec
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.