DROP · VANDALISMAUGUST 2026 BRIEFINGSAN FRANCISCO · 25.8K residents

South of Market Crime Rate Trends — San Francisco

South of Market — universally called SoMa — is the formerly industrial district south of Market Street, transformed since the 1990s into a dense mix of tech offices, condos, museums (including SFMOMA), and the convention space at Moscone Center. It carries a 24-hour rhythm distinct from the rest of the city, with nightlife clusters, the Caltrain terminus, and an uneven mix of long-time residents, single-room-occupancy hotels, and new-build towers.

VANDALISM · 24-MO COUNT08 2026 · 24
0418312-mo avg: 38.8
SOUTH OF MARKETCITYWIDE TREND (RESCALED)-20% 12MO YOY
-39%MoM
-24%12mo YoY
465last 12mo
24this month
01 · TL;DR

Five categories moved in South of Market this August, three running below trend in a single month and two showing sustained multi-month structural shifts. The overall shape is broadly downward across property crime, with no spikes and no rare events in the mix.

Vandalism is the strongest signal: the trailing 12 months logged 465 incidents against 611 in the prior year, down 23.9%. Burglary and motor vehicle theft both ran below trend as well, with burglary down 37.8% year-over-year (240 vs. 386) and motor vehicle theft down 15.6% (293 vs. 347). The two sustained-shift signals indicate these declines are not a single quiet month but a structural change building over multiple periods. Sexual assault is the one category moving in the opposite direction, up 50.0% over 12 months at a low base of 15 incidents, which warrants tracking even though volume remains small.

3 drops2 sustained shifts
02 · Notable signals

Notable signals 3

DROP · VANDALISM

Vandalism

The past 12 months saw 465 incidents — about 35% below the 713 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 240 incidents — about 54% below the 517 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 293 incidents — about 36% below the 461 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-1%
2024-092026-08
Aggravated Assault-10%
2024-092026-08
Sexual Assault+50%
2024-092026-08
Burglary-38%
2024-092026-08
Theft from Vehicle-34%
2024-092026-08
Other Larceny+21%
2024-092026-08
Motor Vehicle Theft-16%
2024-092026-08
Vandalism-24%
2024-092026-08
Arson+36%
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

SEPTEMBER 2026
Most likely 2 next month — likely between 0 and 5.
15% vs 12-month average (≈2.5)

Burglary

SEPTEMBER 2026
Most likely 25 next month — likely between 4 and 46.
+25% vs 12-month average (≈20.0)

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 25 next month — likely between 9 and 41.
+1% vs 12-month average (≈24.4)

Other Larceny

SEPTEMBER 2026
Most likely 138 next month — likely between 50 and 222.
4% vs 12-month average (≈142.8)

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

SEPTEMBER 2026
Most likely 34 next month — likely between 0 and 83.
+20% vs 12-month average (≈28.5)

Vandalism

SEPTEMBER 2026
Most likely 46 next month — likely between 30 and 64.
+19% vs 12-month average (≈38.8)
06 · Context & comps

How South of Market compares

Peer neighborhoods picked by closest 12-month vandalism 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 vandalism levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

warrantpossessionnarcoticsparaphernaliashopliftingsaleofficeraggravatedtrafficforcemethamphetamineweaponrecoveredinvestigationpeaceinfluencelostcasesubstancecontrolledlockedresistingobstructingdelayingduties
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
01,4072,81412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
03,5217,042MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
02,0544,107JanFebMarAprMayJunJulAugSepOctNovDec
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.