DROP · ROBBERYAPRIL 2026 BRIEFINGSAN FRANCISCO · 22.3K residents

Western Addition Crime Rate Trends — San Francisco

The Western Addition is a residential neighborhood west of City Hall whose history is inseparable from the Fillmore jazz era and the postwar urban-renewal projects that displaced thousands of its residents. Today it remains a culturally significant district, with Alamo Square's Painted Ladies, historic places of worship, and an evolving mix of long-standing and newer residents.

ROBBERY · 24-MO COUNT04 2026 · 8
061212-mo avg: 4.6
WESTERN ADDITIONCITYWIDE TREND (RESCALED)-26% 12MO YOY
+100%MoM
-21%12mo YoY
55last 12mo
8this month
01 · TL;DR

Six tracked signals surfaced in Western Addition this April — three one-month below-trend drops and three sustained structural shifts. The shape is broadly downward across both violent and property categories, with no spikes or rare-event signals in the mix.

Robbery, vandalism, and motor vehicle theft each ran below trend this month; robbery's 12-month total of 55 incidents sits well under its multi-year baseline of 107.39. The sustained-shift signals add longer context: theft from vehicle is down 44.9% against the prior 12 months (250 vs. 454), other larceny is down 29.1%, and motor vehicle theft is down 26.8%. Everything else tracked this period was within normal range.

3 drops3 sustained shifts
02 · Notable signals

Notable signals 3

DROP · ROBBERY

Robbery

The past 12 months saw 55 incidents — about 49% below the 107 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 217 incidents — about 29% below the 307 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 134 incidents — about 41% below the 228 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-21%
2024-052026-04
Aggravated Assault-17%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-19%
2024-052026-04
Theft from Vehicle-45%
2024-052026-04
Other Larceny-29%
2024-052026-04
Motor Vehicle Theft-27%
2024-052026-04
Vandalism-22%
2024-052026-04
Arsonbelow threshold
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 10 next month — likely between 0 and 21.
+11% vs 12-month average (≈9.2)

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 13 next month — likely between 6 and 20.
+15% vs 12-month average (≈11.2)

Other Larceny

MAY 2026
Most likely 41 next month — likely between 12 and 66.
+37% vs 12-month average (≈29.6)

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 12 next month — likely between 0 and 57.
41% vs 12-month average (≈20.8)

Vandalism

MAY 2026
Most likely 24 next month — likely between 13 and 36.
+33% vs 12-month average (≈18.1)
06 · Context & comps

How Western Addition compares

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

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Western Additiondoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Western Addition historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny2— too few

Each row shows Western Addition's historical spike events for that category, and how often any of its 7 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across San Francisco); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

07 · Patterns

Recurring local terms (last 12 months)

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

lockedwarrantfoundlostrecoveredpossessionfraudulentbuildingaggravatedinvestigationsuspiciousforceunlawfuladultoccurrencephonemissingcardcreditaccesslicenseinclmoneyunlockedterrorist
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
07851,57012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,6213,243MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
09611,922JanFebMarAprMayJunJulAugSepOctNovDec
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.