DROP · VANDALISMMARCH 2026 BRIEFINGSAN FRANCISCO · 20.3K residents

Inner Richmond Crime Rate Trends — San Francisco

The Inner Richmond is a residential neighborhood north of Golden Gate Park, anchored by the Geary Boulevard and Clement Street commercial corridors. Long known for its dim sum restaurants, neighborhood bakeries, and a steady mix of long-established small businesses, it has a fog-belt climate and a lived-in pace.

VANDALISM · 24-MO COUNT03 2026 · 6
071412-mo avg: 5.9
INNER RICHMONDCITYWIDE TREND (RESCALED)-21% 12MO YOY
MoM
-17%12mo YoY
71last 12mo
6this month
01 · TL;DR

Inner Richmond had four tracked signals in March 2026 — two one-month below-trend drops, two sustained structural shifts, and one zero-event signal. The overall shape is broadly downward across property crime, with no spikes and no rare-event clusters.

Vandalism and theft from vehicle both ran below trend this month; vandalism's current 12-month total of 71 sits well below its multi-year baseline mean of 126.09. Burglary is the clearest structural story: 61 incidents over the trailing 12 months against 114 in the prior year, a 12-month change of -46.5%, and a sustained-shift signal that points to a longer pattern rather than a single quiet month. Robbery rounds out the picture at 4 incidents over the current 12 months versus 15 in the prior period, a -73.3% move — though that category did not generate a signal on its own this month. Other larceny is the exception, up 30.1% year-over-year to 121 incidents, and is the one category moving against the otherwise downward grain.

2 drops2 sustained shifts1 zero-event
02 · Notable signals

Notable signals 2

DROP · VANDALISMZ = 3.83

Vandalism

The past 12 months saw 71 incidents — about 44% below the 126 average from prior years.

DROP · THEFT FROM VEHICLEZ = 2.59

Theft from Vehicle

The past 12 months saw 61 incidents — about 79% below the 295 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
Robberybelow threshold
2024-042026-03
Aggravated Assault+18%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-47%
2024-042026-03
Theft from Vehicle-38%
2024-042026-03
Other Larceny+30%
2024-042026-03
Motor Vehicle Theft-24%
2024-042026-03
Vandalism-17%
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 9 next month — likely between 0 and 21.
+80% vs 12-month average (≈5.1)

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

APRIL 2026
Most likely 5 next month — likely between 0 and 10.
+51% vs 12-month average (≈3.2)

Other Larceny

APRIL 2026
Most likely 7 next month — likely between 0 and 16.
26% vs 12-month average (≈10.1)

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 7 next month — likely between 0 and 29.
+41% vs 12-month average (≈5.1)

Vandalism

APRIL 2026
Most likely 7 next month — likely between 0 and 14.
+26% vs 12-month average (≈5.9)
06 · Context & comps

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

foundfraudulentlostwarrantinvestigationforcibleunlawfullicensesuspiciouscardbuildingoccurrenceaccesscreditmoneyinclphonedrivinglockedplateunlockedcasepossessionrecoveredadult
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
028356512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05541,109MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0348695JanFebMarAprMayJunJulAugSepOctNovDec
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.