DROP · VANDALISMAPRIL 2026 BRIEFINGSAN FRANCISCO · 23.5K residents

Nob Hill Crime Rate Trends — San Francisco

Nob Hill is a steep, wealthy district crowned by historic luxury hotels like the Fairmont and the Mark Hopkins, the Gothic Grace Cathedral, and the cable cars that climb its slopes. Long associated with the railroad and silver-mining elite who rebuilt the area after the 1906 earthquake, it remains a residential and hotel district with sweeping bay views.

VANDALISM · 24-MO COUNT04 2026 · 15
0163212-mo avg: 16.9
NOB HILLCITYWIDE TREND (RESCALED)-21% 12MO YOY
+150%MoM
-19%12mo YoY
203last 12mo
15this month
01 · TL;DR

Eight categories moved in Nob Hill this April — four ran below trend for the month, four registered as sustained structural shifts in the trailing 12-month window. The pattern is broadly downward across property crime, with no spikes and no rare-event signals anywhere in the mix.

Vandalism, theft from vehicle, and motor vehicle theft all came in below trend for the month; over the full 12-month window, theft from vehicle is down 47.1% (198 incidents vs. 374 the prior year) and motor vehicle theft is down 35.2% (105 vs. 162). The one category running against the grain is other larceny, up 22.6% over the same period (489 vs. 399) — the only sustained upward move in an otherwise down-trending neighborhood.

4 drops4 sustained shifts
02 · Notable signals

Notable signals 4

DROP · VANDALISM

Vandalism

The past 12 months saw 203 incidents — about 34% below the 309 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 198 incidents — about 68% below the 612 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 105 incidents — about 49% below the 206 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 114 incidents — about 56% below the 259 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
Robbery-44%
2024-052026-04
Aggravated Assault-24%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-34%
2024-052026-04
Theft from Vehicle-47%
2024-052026-04
Other Larceny+23%
2024-052026-04
Motor Vehicle Theft-35%
2024-052026-04
Vandalism-19%
2024-052026-04
Arson+100%
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 15 next month — likely between 0 and 29.
+57% vs 12-month average (≈9.5)

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 14 next month — likely between 2 and 25.
+60% vs 12-month average (≈8.8)

Other Larceny

MAY 2026
Most likely 28 next month — likely between 7 and 50.
32% vs 12-month average (≈40.8)

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 22 next month — likely between 1 and 47.
+36% vs 12-month average (≈16.5)

Vandalism

MAY 2026
Most likely 22 next month — likely between 10 and 33.
+28% vs 12-month average (≈16.9)
06 · Context & comps

How Nob Hill compares

Peer neighborhoods picked by closest 12-month vandalism 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 vandalism levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

warrantshopliftinglockedpossessionlostorderfraudulentsuspiciousnarcoticsparaphernaliaforciblephonebuildingoccurrencefoundunlawfulrecoveredaggravateddeathforceawaycardstayfalsecause
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
06171,23312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,4032,806MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
08221,645JanFebMarAprMayJunJulAugSepOctNovDec
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.