DROP · VANDALISMAUGUST 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 COUNT08 2026 · 34
0326412-mo avg: 34.4
BAYVIEW HUNTERS POINTCITYWIDE TREND (RESCALED)-20% 12MO YOY
+10%MoM
-14%12mo YoY
413last 12mo
34this month
01 · TL;DR

Nine categories moved in Bayview Hunters Point this August 2026 briefing. Six ran below trend in a single-month drop, and three registered as sustained structural shifts, a mix that points to a broad, multi-month decline across the neighborhood rather than a few isolated quiet weeks. The overall direction is consistently downward across both violent and property crime.

Vandalism, burglary, and theft from vehicle were the three strongest below-trend signals. Burglary is down 44.1% against the prior 12 months, 147 incidents against 263. Motor vehicle theft has fallen 37.1% over the same window, 394 against 626. Vandalism current 12-month volume sits at 413 against 482 a year prior, down 14.3%. Other larceny is the one category running above its prior-year pace, up 5.3% to 459 incidents, the only upward move in an otherwise broadly declining month.

6 drops3 sustained shifts
02 · Notable signals

Notable signals 6

DROP · VANDALISM

Vandalism

The past 12 months saw 413 incidents — about 28% below the 574 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 147 incidents — about 54% below the 318 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 363 incidents — about 51% below the 744 average from prior years.

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 230 incidents — about 36% below the 358 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 96 incidents — about 50% below the 192 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 394 incidents — about 52% below the 829 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-36%
2024-092026-08
Aggravated Assault-19%
2024-092026-08
Sexual Assaultbelow threshold
2024-092026-08
Burglary-44%
2024-092026-08
Theft from Vehicle-14%
2024-092026-08
Other Larceny+5%
2024-092026-08
Motor Vehicle Theft-37%
2024-092026-08
Vandalism-14%
2024-092026-08
Arson+20%
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 4 next month — likely between 0 and 9.
4% vs 12-month average (≈4.6)

Burglary

SEPTEMBER 2026
Most likely 16 next month — likely between 2 and 32.
+33% vs 12-month average (≈12.3)

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 30 next month — likely between 5 and 56.
8% vs 12-month average (≈32.8)

Other Larceny

SEPTEMBER 2026
Most likely 47 next month — likely between 31 and 63.
+22% vs 12-month average (≈38.3)

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 37 next month — likely between 11 and 66.
+23% vs 12-month average (≈30.3)

Vandalism

SEPTEMBER 2026
Most likely 39 next month — likely between 25 and 53.
+12% vs 12-month average (≈34.4)
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.

warrantrecoveredlicensetrafficpossessiondrivingaggravatedfoundfirearmplatelockedweaponsuspiciousinvestigationterroristthreatsforcefraudulentlostoccurrenceorderphonetruckofficercase
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
01,0502,10012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,5895,179MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,4162,833JanFebMarAprMayJunJulAugSepOctNovDec
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.