DROP · VANDALISMSEPTEMBER 2026 BRIEFINGSAN FRANCISCO · 22.8K residents

Pacific Heights Crime Rate Trends — San Francisco

Pacific Heights is one of San Francisco's wealthiest neighborhoods — a hilltop district of grand Victorian and Edwardian mansions, embassies, and consulates with sweeping views of the bay. Its commercial spines along Fillmore and Sacramento Streets carry boutiques, restaurants, and the kind of low-key luxury that has long defined the area.

VANDALISM · 24-MO COUNT09 2026 · 3
0102112-mo avg: 6.7
PACIFIC HEIGHTSCITYWIDE TREND (RESCALED)-20% 12MO YOY
-63%MoM
-46%12mo YoY
80last 12mo
3this month
01 · TL;DR

Four categories moved in Pacific Heights this September, and the shape is broadly downward across property crime. Two registered as single-month below-trend signals, vandalism and motor vehicle theft, while theft from vehicle has shifted structurally over the trailing 12 months, a sustained multi-month move rather than one quiet month. A zero-event signal rounds out the mix.

Vandalism is the clearest move: 80 incidents in the current 12 months against 149 in the prior year, down 46.3%. Theft from vehicle tells a similar longer-term story, 152 incidents now versus 250 in the prior 12 months, a 39.2% reduction. Motor vehicle theft also ran below trend this month, with the 12-month total at 78 against 89 the year before. The two categories that bucked the direction, robbery and burglary, are up 36.4% and 20.2% respectively over the same window, so the picture is not uniformly calm, but property crime in the aggregate is moving lower.

2 drops2 sustained shifts1 zero-event
02 · Notable signals

Notable signals 2

DROP · VANDALISM

Vandalism

The past 12 months saw 80 incidents — about 56% below the 184 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 78 incidents — about 43% below the 137 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+36%
2024-102026-09
Aggravated Assault+25%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary+20%
2024-102026-09
Theft from Vehicle-39%
2024-102026-09
Other Larceny-6%
2024-102026-09
Motor Vehicle Theft-12%
2024-102026-09
Vandalism-46%
2024-102026-09
Arsonbelow threshold
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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Burglary

OCTOBER 2026
Most likely 17 next month — likely between 1 and 34.
+3% vs 12-month average (≈16.8)

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 11 next month — likely between 3 and 19.
+63% vs 12-month average (≈6.5)

Other Larceny

OCTOBER 2026
Most likely 29 next month — likely between 15 and 43.
−8% vs 12-month average (≈31.5)

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 16 next month — likely between 0 and 38.
+28% vs 12-month average (≈12.7)

Vandalism

OCTOBER 2026
Most likely 12 next month — likely between 3 and 21.
+83% vs 12-month average (≈6.7)
06 · Context & comps

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

shopliftingforciblelockedunlawfullostapartmenthousewarrantresidencefoundrecoveredfraudulentinvestigationunlockedbldgphonebuildingprowlmoneypossessiontrespassingsuspiciouslicensepettycard
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
048095912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,0452,090MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
06121,224JanFebMarAprMayJunJulAugSepOctNovDec
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.