DROP · MOTOR VEHICLE THEFTMARCH 2026 BRIEFINGSAN FRANCISCO · 11.5K residents

North Beach Crime Rate Trends — San Francisco

North Beach is San Francisco's historic neighborhood at the foot of Telegraph Hill and the birthplace of West Coast Beat literature, home to City Lights Bookstore, Vesuvio Cafe, and the espresso bars around Columbus Avenue. The triangle around Washington Square Park, beneath Coit Tower, retains a strong neighborhood-cafe culture alongside its better-known nightlife.

MOTOR VEHICLE THEFT · 24-MO COUNT03 2026 · 2
071512-mo avg: 3.3
NORTH BEACHCITYWIDE TREND (RESCALED)-42% 12MO YOY
-50%MoM
-44%12mo YoY
40last 12mo
2this month
01 · TL;DR

Five categories moved in North Beach this March — three one-month below-trend signals and two sustained structural shifts. The shape is broadly downward across both violent and property crime, with no spikes and no rare events in the mix.

Motor vehicle theft is the sharpest single signal: 40 incidents over the current 12 months against a multi-year baseline mean of 94.92, and down 43.7% against the prior year's 71. Robbery and burglary also ran below trend this month — robbery is down 42.6% year-over-year (27 vs. 47) and burglary down 33.3% (64 vs. 96). Theft from vehicle, not in the top three signals but visible in the 12-month totals, shows the steepest year-over-year decline at 64.9%, from 419 to 147. Other larceny is the one category that held roughly flat, off just 1.2% against the prior year.

3 drops2 sustained shifts
02 · Notable signals

Notable signals 3

DROP · MOTOR VEHICLE THEFTZ = 4.62

Motor Vehicle Theft

The past 12 months saw 40 incidents — about 58% below the 95 average from prior years.

DROP · ROBBERYZ = 3.78

Robbery

The past 12 months saw 27 incidents — about 60% below the 68 average from prior years.

DROP · BURGLARYZ = 3.06

Burglary

The past 12 months saw 64 incidents — about 54% 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
2024-042026-03
Robbery-43%
2024-042026-03
Aggravated Assault-13%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-33%
2024-042026-03
Theft from Vehicle-65%
2024-042026-03
Other Larceny-1%
2024-042026-03
Motor Vehicle Theft-44%
2024-042026-03
Vandalism-16%
2024-042026-03
Arsonbelow threshold
2024-042026-03
05 · Forecast

What next month likely looks like

Forecasts trained through March 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

APRIL 2026
Most likely 6 next month — likely between 0 and 15.
+17% vs 12-month average (≈5.3)

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

APRIL 2026
Most likely 3 next month — likely between 0 and 9.
12% vs 12-month average (≈3.3)

Other Larceny

APRIL 2026
Most likely 12 next month — likely between 0 and 34.
44% vs 12-month average (≈21.3)

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

APRIL 2026
Most likely 22 next month — likely between 0 and 176.
+79% vs 12-month average (≈12.3)

Vandalism

APRIL 2026
Most likely 13 next month — likely between 0 and 34.
+16% vs 12-month average (≈11.3)
06 · Context & comps

How North Beach compares

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

07 · Patterns

Recurring local terms (last 12 months)

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

lockedlostfraudulentwarrantpickpocketphonecardcreditaccessinclsuspiciousaggravatedfoundrecoveredoccurrenceforciblepossessionbuildingforcecaseunlawfulweaponterroristthreatsaided
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
08371,67412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,8173,633MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,1392,278JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset, 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.