DROP · THEFT FROM VEHICLESEPTEMBER 2026 BRIEFINGSAN FRANCISCO · 22.6K residents

Noe Valley Crime Rate Trends — San Francisco

Noe Valley is a family-friendly residential neighborhood south of the Mission, set in a 'banana belt' microclimate that keeps it noticeably sunnier than fog-prone parts of the city. Its commercial life clusters along 24th Street, lined with bakeries, cafes, and small shops set against blocks of Victorian and Edwardian homes.

THEFT FROM VEHICLE · 24-MO COUNT09 2026 · 4
0102112-mo avg: 8.1
NOE VALLEYCITYWIDE TREND (RESCALED)-39% 12MO YOY
-43%MoM
-29%12mo YoY
97last 12mo
4this month
01 · TL;DR

Six categories moved in Noe Valley this September, split evenly between single-month below-trend signals and sustained multi-year structural shifts. Three categories, theft from vehicle, vandalism, and motor vehicle theft, all ran below trend in the current month. Three more registered as sustained shifts, meaning the declines extend across the trailing 12 months, not just this period. The overall shape is a broad, deepening pullback across property crime.

Theft from vehicle is the strongest individual signal: 97 incidents over the past 12 months against 137 in the prior year, down 29.2%. Motor vehicle theft has moved further still, 41 incidents vs 78, a 47.4% reduction year-over-year. Burglary tells the same story at scale, 120 incidents against 201 in the prior 12 months, down 40.3%. Every other tracked category was also below or flat against the prior year, with robbery at 3 incidents vs 9 the clearest sign of how far some volumes have come down.

3 drops3 sustained shifts1 zero-event
02 · Notable signals

Notable signals 3

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 97 incidents — about 61% below the 246 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 64 incidents — about 40% below the 106 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 41 incidents — about 71% below the 140 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
Robberybelow threshold
2024-102026-09
Aggravated Assaultbelow threshold
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary-40%
2024-102026-09
Theft from Vehicle-29%
2024-102026-09
Other Larceny-13%
2024-102026-09
Motor Vehicle Theft-47%
2024-102026-09
Vandalism-7%
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 0 and 35.
+69% vs 12-month average (≈10.0)

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 7 next month — likely between 0 and 15.
+93% vs 12-month average (≈3.4)

Other Larceny

OCTOBER 2026
Most likely 28 next month — likely between 15 and 42.
+3% vs 12-month average (≈27.3)

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 9 next month — likely between 0 and 19.
+7% vs 12-month average (≈8.1)

Vandalism

OCTOBER 2026
Most likely 7 next month — likely between 1 and 13.
+35% vs 12-month average (≈5.3)
06 · Context & comps

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

shopliftingunlawfulwarrantfraudulentforcibleunlockedresidencelostlockedpettyinvestigationphonepossessionorderprowlbuildingcardfalseconvictioncreditpriorchecksmoneyaccessincl
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
029058012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06621,324MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0431861JanFebMarAprMayJunJulAugSepOctNovDec
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.