DROP · VANDALISMMARCH 2026 BRIEFINGSAN FRANCISCO · 37.9K residents

Excelsior Crime Rate Trends — San Francisco

Excelsior is a working-class residential neighborhood in southeastern San Francisco, defined by the commercial spine of Mission Street and rows of single-family homes climbing the surrounding hills. It has a quieter, suburban feel relative to the city center, with deep neighborhood roots along the Mission Street corridor.

VANDALISM · 24-MO COUNT03 2026 · 11
0122312-mo avg: 8.8
EXCELSIORCITYWIDE TREND (RESCALED)-21% 12MO YOY
+38%MoM
-34%12mo YoY
105last 12mo
11this month
01 · TL;DR

Nine categories moved in Excelsior this March — four ran below trend as one-month signals and five registered as sustained structural shifts. The overall shape is broadly and persistently downward across both violent and property crime, with no fresh spikes in the mix.

Vandalism, robbery, and burglary all came in below trend this month. The 12-month picture deepens that reading: burglary is down 61.5% against the prior year (40 incidents vs. 104), theft from vehicle is down 52.9% (114 vs. 242), and robbery is down 43.2% (50 vs. 88). Vandalism's current 12-month total of 105 sits well below the 176.5 baseline mean. Other larceny is the one category holding flat, at 166 incidents year over year — every other tracked category is lower.

4 drops5 sustained shifts
02 · Notable signals

Notable signals 4

DROP · VANDALISMZ = 3.57

Vandalism

The past 12 months saw 105 incidents — about 41% below the 177 average from prior years.

DROP · ROBBERYZ = 3.22

Robbery

The past 12 months saw 50 incidents — about 46% below the 92 average from prior years.

DROP · BURGLARYZ = 2.75

Burglary

The past 12 months saw 40 incidents — about 55% below the 89 average from prior years.

DROP · THEFT FROM VEHICLEZ = 2.75

Theft from Vehicle

The past 12 months saw 114 incidents — about 64% below the 316 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-26%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-62%
2024-042026-03
Theft from Vehicle-53%
2024-042026-03
Other Larceny0%
2024-042026-03
Motor Vehicle Theft-41%
2024-042026-03
Vandalism-34%
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 3 next month — likely between 0 and 10.
6% vs 12-month average (≈3.3)

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 19 next month — likely between 2 and 36.
+73% vs 12-month average (≈11.0)

Other Larceny

APRIL 2026
Most likely 14 next month — likely between 3 and 26.
+0% vs 12-month average (≈13.8)

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

APRIL 2026
Most likely 12 next month — likely between 0 and 27.
+25% vs 12-month average (≈9.5)

Vandalism

APRIL 2026
Most likely 14 next month — likely between 6 and 23.
+61% vs 12-month average (≈8.8)
06 · Context & comps

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

licensewarrantrecoveredplateshopliftingforcefraudulentaggravatedadultdrivinginvestigationlockedmoneylostfalsefoundmissingofficerpossessionweapontrafficordersuspiciousrestrainingcase
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
038677112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08131,627MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0438876JanFebMarAprMayJunJulAugSepOctNovDec
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.