DROP · MOTOR VEHICLE THEFTAUGUST 2026 BRIEFINGSAN FRANCISCO · 16.8K residents

Haight Ashbury Crime Rate Trends — San Francisco

Haight Ashbury — known simply as 'the Haight' — is the neighborhood synonymous with the 1960s counterculture and the 1967 Summer of Love. Today its colorful Victorians, vintage clothing shops, music stores like Amoeba Records, and the green slope of Buena Vista Park retain a bohemian, slightly faded character.

MOTOR VEHICLE THEFT · 24-MO COUNT08 2026 · 4
081612-mo avg: 4.2
HAIGHT ASHBURYCITYWIDE TREND (RESCALED)-31% 12MO YOY
-20%MoM
-41%12mo YoY
50last 12mo
4this month
01 · TL;DR

Four categories moved in Haight Ashbury this August, and the picture is broadly downward. One category registered a single-month below-trend signal, three show multi-month sustained shifts, and one recorded a zero-event month. The structural weight is on the sustained shifts: the declines here are not a single quiet month but a pattern that has been building across the trailing 12 months.

Motor vehicle theft is the strongest signal, down 40.5% year-over-year, 50 incidents in the current 12 months against 84 in the prior year. Theft from vehicle shows the same sustained-shift pattern, 91 incidents this year against 134, a 32.1% decline. Vandalism and aggravated assault are also well below prior-year levels, -38.4% and -46.2% respectively, with robbery down 36.0%. Every category in the tracked set is running below its prior-year pace, and for most of them the gap reflects months of consistent movement, not a single anomalous period.

1 drop3 sustained shifts1 zero-event
02 · Notable signals

Notable signals 1

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 50 incidents — about 59% below the 122 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
2024-092026-08
Robbery-36%
2024-092026-08
Aggravated Assault-46%
2024-092026-08
Sexual Assaultbelow threshold
2024-092026-08
Burglary-26%
2024-092026-08
Theft from Vehicle-32%
2024-092026-08
Other Larceny-5%
2024-092026-08
Motor Vehicle Theft-41%
2024-092026-08
Vandalism-38%
2024-092026-08
Arsonbelow threshold
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 8 next month — likely between 0 and 19.
+20% vs 12-month average (≈6.6)

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

SEPTEMBER 2026
Most likely 7 next month — likely between 1 and 13.
+66% vs 12-month average (≈4.2)

Other Larceny

SEPTEMBER 2026
Most likely 11 next month — likely between 0 and 39.
33% vs 12-month average (≈16.2)

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

SEPTEMBER 2026
Most likely 19 next month — likely between 0 and 54.
+154% vs 12-month average (≈7.6)

Vandalism

SEPTEMBER 2026
Most likely 12 next month — likely between 3 and 20.
+51% vs 12-month average (≈7.8)
06 · Context & comps

How Haight Ashbury compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

warrantfoundlostunlawfulforcibleunlockedsuspiciousoccurrenceresidencelockedbuildingfraudulentmoneyinvestigationpossessionrecoveredlicenseplateshopliftingterroristthreatsfalsepeaceofficeradult
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
038376712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07801,561MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05231,045JanFebMarAprMayJunJulAugSepOctNovDec
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.