DROP · VANDALISMSEPTEMBER 2026 BRIEFINGSAN FRANCISCO · 37.7K residents

Bayview Hunters Point Crime Rate Trends — San Francisco

Bayview Hunters Point is a residential and waterfront neighborhood in southeastern San Francisco with deep cultural roots and a working-class, formerly industrial character. Once anchored by the Hunters Point Naval Shipyard, the area is now undergoing significant redevelopment along its waterfront and the Third Street corridor.

VANDALISM · 24-MO COUNT09 2026 · 35
0326412-mo avg: 34.5
BAYVIEW HUNTERS POINTCITYWIDE TREND (RESCALED)-20% 12MO YOY
-10%MoM
-13%12mo YoY
414last 12mo
35this month
01 · TL;DR

Eight categories moved in Bayview Hunters Point this September 2026 briefing. Five ran below trend as one-month drops, and three registered as sustained structural shifts, the kind that reflect multi-year repositioning rather than a single quiet month. The overall shape is broadly downward, across both violent and property crime.

Vandalism, burglary, and aggravated assault are the three strongest signals this month, all running below their recent baselines. Burglary is down 44.6% over the trailing 12 months, 138 incidents against 249 the year before. Aggravated assault and robbery show similar trajectories, down 22.6% and 30.2% respectively, while motor vehicle theft has fallen 34.9% to 380 incidents. Arson is the one category moving the other direction, up 34.9% to 58 incidents over the past 12 months, and the three sustained-shift signals suggest the declines in property and violent crime are not simply a one-month read.

5 drops3 sustained shifts
02 · Notable signals

Notable signals 5

DROP · VANDALISM

Vandalism

The past 12 months saw 414 incidents — about 28% below the 573 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 138 incidents — about 57% below the 317 average from prior years.

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 219 incidents — about 39% below the 357 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 366 incidents — about 51% below the 740 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 380 incidents — about 54% below the 826 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-30%
2024-102026-09
Aggravated Assault-23%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary-45%
2024-102026-09
Theft from Vehicle-10%
2024-102026-09
Other Larceny+1%
2024-102026-09
Motor Vehicle Theft-35%
2024-102026-09
Vandalism-13%
2024-102026-09
Arson+35%
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

OCTOBER 2026
Most likely 4 next month — likely between 0 and 9.
−12% vs 12-month average (≈4.8)

Burglary

OCTOBER 2026
Most likely 17 next month — likely between 1 and 33.
+51% vs 12-month average (≈11.5)

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 31 next month — likely between 7 and 58.
−1% vs 12-month average (≈31.7)

Other Larceny

OCTOBER 2026
Most likely 38 next month — likely between 22 and 55.
+7% vs 12-month average (≈35.5)

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 42 next month — likely between 13 and 71.
+39% vs 12-month average (≈30.5)

Vandalism

OCTOBER 2026
Most likely 33 next month — likely between 17 and 47.
−4% vs 12-month average (≈34.5)
06 · Context & comps

How Bayview Hunters Point 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 Bayview Hunters Point, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

warrantrecoveredlicensetrafficpossessiondrivingaggravatedfoundfirearmplatelockedweaponinvestigationsuspiciousterroristthreatsforcelostfraudulentoccurrenceorderphoneofficernarcoticsunlocked
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
01,0562,11212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,6035,206MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,4182,836JanFebMarAprMayJunJulAugSepOctNovDec
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.