DROP · THEFT FROM VEHICLESEPTEMBER 2026 BRIEFINGSAN FRANCISCO · 27.1K residents

Inner Sunset Crime Rate Trends — San Francisco

The Inner Sunset is a residential neighborhood south of Golden Gate Park, organized around the cafes and restaurants at the intersection of Ninth Avenue and Irving Street. Its character is shaped by proximity to UCSF's Parnassus campus, family households in single-family homes, and the cool, foggy western weather of the city.

THEFT FROM VEHICLE · 24-MO COUNT09 2026 · 2
0102112-mo avg: 5.0
INNER SUNSETCITYWIDE TREND (RESCALED)-39% 12MO YOY
-33%MoM
-57%12mo YoY
60last 12mo
2this month
01 · TL;DR

Four categories moved in Inner Sunset this September briefing. Three registered as single-month below-trend signals, theft from vehicle, vandalism, and motor vehicle theft, while a fourth carries a sustained-shift signal, indicating a structural shift that has been building over multiple months rather than a one-time dip. The overall shape is broadly downward across property crime categories.

Theft from vehicle is the strongest signal: the trailing 12-month count stands at 60, against 141 in the prior 12 months, a 57.4% reduction year over year. Vandalism and motor vehicle theft moved in the same direction, down 30.0% and 33.3% respectively over the same window. Burglary, not in the top three this month but tracked in the same period, also fell 31.9%. Other Larceny was the one category that ran against the grain, essentially flat at 136 incidents versus 132 in the prior year, and Robbery edged up 27.3% on small absolute counts, 14 incidents versus 11.

3 drops1 sustained shift
02 · Notable signals

Notable signals 3

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 60 incidents — about 79% below the 288 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 56 incidents — about 52% below the 116 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 38 incidents — about 64% below the 105 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+27%
2024-102026-09
Aggravated Assault-27%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary-32%
2024-102026-09
Theft from Vehicle-57%
2024-102026-09
Other Larceny+3%
2024-102026-09
Motor Vehicle Theft-33%
2024-102026-09
Vandalism-30%
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 9 next month — likely between 0 and 21.
+73% vs 12-month average (≈5.2)

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 8 next month — likely between 1 and 16.
+161% vs 12-month average (≈3.2)

Other Larceny

OCTOBER 2026
Most likely 10 next month — likely between 3 and 18.
−9% vs 12-month average (≈11.3)

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

OCTOBER 2026
Most likely 14 next month — likely between 0 and 32.
+181% vs 12-month average (≈5.0)

Vandalism

OCTOBER 2026
Most likely 8 next month — likely between 0 and 17.
+74% vs 12-month average (≈4.7)
06 · Context & comps

How Inner Sunset compares

Peer neighborhoods picked by closest 12-month theft from vehicle 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 theft from vehicle levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

lostshopliftingunlawfuladultoccurrencesuspiciousmissinglockedforciblefraudulentbuildingfoundwarrantphoneresidenceunlockedinvestigationmoneyrecoveredcreditcardaccessinclbldgfalse
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
022945812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05761,153MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0344688JanFebMarAprMayJunJulAugSepOctNovDec
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.