DROP · VANDALISMAPRIL 2026 BRIEFINGSAN FRANCISCO · 18.9K residents

Hayes Valley Crime Rate Trends — San Francisco

Hayes Valley is a walkable residential and commercial neighborhood west of City Hall, transformed since the 1989 Loma Prieta earthquake demolished the Central Freeway that once divided it. Today it is known for its boutiques, design-forward restaurants, art galleries, and the central green space of Patricia's Green amid Victorian and Edwardian architecture.

VANDALISM · 24-MO COUNT04 2026 · 18
0153012-mo avg: 14.3
HAYES VALLEYCITYWIDE TREND (RESCALED)-21% 12MO YOY
+64%MoM
-18%12mo YoY
172last 12mo
18this month
01 · TL;DR

Four categories moved in Hayes Valley in April 2026 — two one-month below-trend signals (vandalism and motor vehicle theft) and two sustained structural shifts. The dominant pattern is broadly downward: property crime across nearly every tracked category is running below its prior-year baseline, and the sustained shifts indicate this isn't a single quiet month.

Vandalism registered the sharpest single-month signal, with a current 12-month total of 172 against a multi-year baseline mean of 286.06. Motor vehicle theft is down 31.0% year-over-year (98 incidents vs. 142). Theft from vehicle, one of the two sustained shifts, has fallen 41.5% — 207 incidents against 354 in the prior 12 months. Other larceny is the one exception, up 6.2% to 342 incidents, but every other tracked category in Hayes Valley finished the period below its prior-year total.

2 drops2 sustained shifts
02 · Notable signals

Notable signals 2

DROP · VANDALISM

Vandalism

The past 12 months saw 172 incidents — about 40% below the 286 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 98 incidents — about 47% below the 185 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-18%
2024-052026-04
Aggravated Assault-43%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-13%
2024-052026-04
Theft from Vehicle-42%
2024-052026-04
Other Larceny+6%
2024-052026-04
Motor Vehicle Theft-31%
2024-052026-04
Vandalism-18%
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 21 next month — likely between 4 and 37.
+41% vs 12-month average (≈14.8)

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 2 and 23.
+54% vs 12-month average (≈8.2)

Other Larceny

MAY 2026
Most likely 20 next month — likely between 6 and 35.
30% vs 12-month average (≈28.5)

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 29 next month — likely between 0 and 97.
+66% vs 12-month average (≈17.3)

Vandalism

MAY 2026
Most likely 13 next month — likely between 5 and 22.
6% vs 12-month average (≈14.3)
06 · Context & comps

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

lockedwarrantforciblelostunlawfulpossessionrecoveredbuildingfraudulentapartmenthousephonebldgfoundunlockedlicensenarcoticsparaphernaliasalesuspiciouscardfalseaggravatedinclaccess
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
07371,47412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,5113,023MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
08981,795JanFebMarAprMayJunJulAugSepOctNovDec
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.