DROP · THEFT FROM VEHICLEAUGUST 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 COUNT08 2026 · 6
0102112-mo avg: 8.3
NOE VALLEYCITYWIDE TREND (RESCALED)-39% 12MO YOY
-33%MoM
-30%12mo YoY
100last 12mo
6this month
01 · TL;DR

Six categories moved in Noe Valley this August, split evenly between single-month below-trend signals and longer structural shifts. Three categories registered one-month drops, theft from vehicle, vandalism, and motor vehicle theft, while three others reflect multi-month sustained shifts. The overall direction is broadly downward across property crime, with no spikes or rare events in the mix.

Theft from vehicle is the strongest signal: 100 incidents over the trailing 12 months against 142 in the prior year, down 29.6%. Motor vehicle theft fell 41.8% year-over-year, 46 incidents versus 79. Burglary's 12-month total also sits well below the prior year, 121 versus 203, a 40.4% decline, and robbery dropped from 11 to 2 over the same window. Vandalism is the one category moving the other way, up 4.5%, though that remains a small absolute shift. Everything else tracked within a narrow range.

3 drops3 sustained shifts1 zero-event
02 · Notable signals

Notable signals 3

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 100 incidents — about 60% below the 248 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 70 incidents — about 34% below the 107 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 46 incidents — about 67% below the 141 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
Robberybelow threshold
2024-092026-08
Aggravated Assaultbelow threshold
2024-092026-08
Sexual Assaultbelow threshold
2024-092026-08
Burglary-40%
2024-092026-08
Theft from Vehicle-30%
2024-092026-08
Other Larceny-11%
2024-092026-08
Motor Vehicle Theft-42%
2024-092026-08
Vandalism+5%
2024-092026-08
Arsonbelow threshold
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

NO FORECAST

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

Burglary

SEPTEMBER 2026
Most likely 16 next month — likely between 1 and 31.
+62% vs 12-month average (≈10.1)

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 5 next month — likely between 0 and 15.
+39% vs 12-month average (≈3.8)

Other Larceny

SEPTEMBER 2026
Most likely 29 next month — likely between 15 and 43.
+1% vs 12-month average (≈28.4)

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

SEPTEMBER 2026
Most likely 7 next month — likely between 0 and 17.
17% vs 12-month average (≈8.3)

Vandalism

SEPTEMBER 2026
Most likely 7 next month — likely between 1 and 14.
+26% vs 12-month average (≈5.8)
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.

shopliftingunlawfulwarrantfraudulentforcibleresidenceunlockedlostlockedpettyphonepossessionchecksordercardconvictioncreditpriorbuildingfalseinvestigationaccessinclmoneylicense
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
028657212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06561,311MonTueWedThuFriSatSun
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.