DROP · VANDALISMJUNE 2026 BRIEFINGSAN FRANCISCO · 37.1K 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 COUNT06 2026 · 7
0112212-mo avg: 8.0
EXCELSIORCITYWIDE TREND (RESCALED)-21% 12MO YOY
+40%MoM
-29%12mo YoY
96last 12mo
7this month
01 · TL;DR

Eight categories moved in Excelsior in June 2026 — four one-month below-trend signals and four sustained structural shifts. The overall shape is broadly downward across property and violent crime, with no spikes and no rare events in the mix.

Vandalism, Theft from Vehicle, and Robbery all ran below trend this month. The 12-month totals reinforce the structural read: Burglary is down 56.0% against the prior year (40 incidents vs. 91), Theft from Vehicle is down 54.2% (93 vs. 203), and Motor Vehicle Theft is down 50.7% (104 vs. 211). Other Larceny is the one exception, up 8.3% over the same window — the only category moving against the grain in an otherwise broad decline.

4 drops4 sustained shifts
02 · Notable signals

Notable signals 4

DROP · VANDALISM

Vandalism

The past 12 months saw 96 incidents — about 45% below the 175 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 93 incidents — about 70% below the 312 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 53 incidents — about 42% below the 91 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 40 incidents — about 55% below the 90 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
2024-072026-06
Robbery-21%
2024-072026-06
Aggravated Assault-18%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary-56%
2024-072026-06
Theft from Vehicle-54%
2024-072026-06
Other Larceny+8%
2024-072026-06
Motor Vehicle Theft-51%
2024-072026-06
Vandalism-29%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 7 next month — likely between 0 and 15.
+121% 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

JULY 2026
Most likely 21 next month — likely between 4 and 39.
+138% vs 12-month average (≈8.7)

Other Larceny

JULY 2026
Most likely 12 next month — likely between 0 and 24.
13% vs 12-month average (≈14.2)

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

JULY 2026
Most likely 11 next month — likely between 0 and 27.
+48% vs 12-month average (≈7.8)

Vandalism

JULY 2026
Most likely 13 next month — likely between 4 and 22.
+63% vs 12-month average (≈8.0)
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.

shopliftingwarrantlicenseforcerecovereddrivingaggravatedinvestigationfraudulentmoneyadultplatelostfoundfalselockedpossessiontrafficmissingweaponpersonationordertrickalcoholobtaining
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
038777412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08211,642MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0457914JanFebMarAprMayJunJulAugSepOctNovDec
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.