DROP · THEFT FROM VEHICLEAPRIL 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 COUNT04 2026 · 2
0142812-mo avg: 7.8
INNER SUNSETCITYWIDE TREND (RESCALED)-42% 12MO YOY
-60%MoM
-37%12mo YoY
94last 12mo
2this month
01 · TL;DR

Four categories moved in Inner Sunset this April — two ran below trend for the month and two reflect structural, multi-month declines. The shape is broadly downward across property crime, with theft from vehicle and vandalism the sharpest single-month signals and burglary showing a deeper, sustained shift that has been building over the trailing year.

Theft from vehicle stands out most: the current 12-month total is 94, down from 148 in the prior 12 months — a 36.5% year-over-year drop. Burglary is tracking similarly, 76 incidents against 116 the year before (-34.5%), and its sustained-shift signal means the decline isn't a single quiet month but a multi-year reset. Vandalism also ran below trend this month, with 70 incidents in the current 12 months versus 82 prior. The remaining tracked categories — robbery, aggravated assault, motor vehicle theft, and other larceny — all fell within range or showed their own year-over-year declines, reinforcing that the downward pressure in Inner Sunset is broad-based, not isolated to one category.

2 drops2 sustained shifts
02 · Notable signals

Notable signals 2

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 94 incidents — about 68% below the 297 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 70 incidents — about 40% below the 118 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
2024-052026-04
Robbery0%
2024-052026-04
Aggravated Assault-48%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-35%
2024-052026-04
Theft from Vehicle-37%
2024-052026-04
Other Larceny-2%
2024-052026-04
Motor Vehicle Theft-27%
2024-052026-04
Vandalism-15%
2024-052026-04
Arsonbelow threshold
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 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

MAY 2026
Most likely 9 next month — likely between 0 and 22.
+46% vs 12-month average (≈6.3)

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

MAY 2026
Most likely 7 next month — likely between 0 and 14.
+62% vs 12-month average (≈4.3)

Other Larceny

MAY 2026
Most likely 10 next month — likely between 3 and 17.
11% vs 12-month average (≈11.4)

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

MAY 2026
Most likely 10 next month — likely between 0 and 27.
+27% vs 12-month average (≈7.8)

Vandalism

MAY 2026
Most likely 8 next month — likely between 0 and 16.
+38% vs 12-month average (≈5.8)
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.

lockedforcibleshopliftingadultmissingfraudulentlostunlawfulunlockedbuildingmoneyoccurrenceresidencesuspiciousfalseinvestigationphonecreditrecoveredpersonationwarrantcardfoundcheckstrick
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
022444912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05671,133MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0323646JanFebMarAprMayJunJulAugSepOctNovDec
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.