DROP · VANDALISMMARCH 2026 BRIEFINGSAN FRANCISCO · 36.9K residents

West of Twin Peaks Crime Rate Trends — San Francisco

West of Twin Peaks is a planned residential cluster — including Forest Hill, Miraloma Park, and Sherwood Forest — built largely between the 1910s and 1940s on the western slopes of the Twin Peaks ridge. It is defined by curving, leafy streets of single-family homes, with the wooded Mount Davidson at its southern edge.

VANDALISM · 24-MO COUNT03 2026 · 4
0122312-mo avg: 8.9
WEST OF TWIN PEAKSCITYWIDE TREND (RESCALED)-21% 12MO YOY
-43%MoM
-34%12mo YoY
107last 12mo
4this month
01 · TL;DR

West of Twin Peaks had eight tracked signals in March 2026 — four below-trend drops and four sustained shifts, all running in the same direction. The mix is uniformly downward across property crime, with no spikes and no rare events in the month.

Vandalism, theft from vehicle, and motor vehicle theft all ran below trend. The 12-month vandalism total is 107, down from a baseline of 200.66 and off 34.0% against the prior year. Theft from vehicle fell 43.3% year-over-year to 139 incidents; motor vehicle theft is down 50.4% to 70. Four of the eight signals are sustained shifts, meaning the declines aren't just a one-month dip — they reflect structural movement across the trailing 12-month window.

4 drops4 sustained shifts
02 · Notable signals

Notable signals 4

DROP · VANDALISMZ = 4.53

Vandalism

The past 12 months saw 107 incidents — about 47% below the 201 average from prior years.

DROP · THEFT FROM VEHICLEZ = 3.58

Theft from Vehicle

The past 12 months saw 139 incidents — about 69% below the 453 average from prior years.

DROP · MOTOR VEHICLE THEFTZ = 3.53

Motor Vehicle Theft

The past 12 months saw 70 incidents — about 69% below the 223 average from prior years.

DROP · BURGLARYZ = 2.66

Burglary

The past 12 months saw 101 incidents — about 61% below the 256 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-60%
2024-042026-03
Aggravated Assault-26%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-34%
2024-042026-03
Theft from Vehicle-43%
2024-042026-03
Other Larceny+11%
2024-042026-03
Motor Vehicle Theft-50%
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 11 next month — likely between 0 and 26.
+27% vs 12-month average (≈8.4)

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 6 next month — likely between 0 and 16.
1% vs 12-month average (≈5.8)

Other Larceny

APRIL 2026
Most likely 20 next month — likely between 5 and 36.
11% vs 12-month average (≈22.2)

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

APRIL 2026
Most likely 20 next month — likely between 0 and 45.
+70% vs 12-month average (≈11.6)

Vandalism

APRIL 2026
Most likely 11 next month — likely between 2 and 21.
+28% vs 12-month average (≈8.9)
06 · Context & comps

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

shopliftingforciblefraudulentwarrantorderlicenseinvestigationlockedresidencesuspiciousfalsecreditphoneunlockedoccurrenceplatecardaccessmoneyinclpersonationrecoveredfoundrestrainingunlawful
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
041082112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
09581,916MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05971,194JanFebMarAprMayJunJulAugSepOctNovDec
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.