DROP · BURGLARYMARCH 2026 BRIEFINGSAN FRANCISCO · 15.6K residents

Portola Crime Rate Trends — San Francisco

Portola is a working-class southeastern neighborhood, once known as the city's 'Garden District' for its 19th-century commercial nurseries. Today it is a quiet residential area along San Bruno Avenue, with a character distinct from the busier districts to the north.

BURGLARY · 24-MO COUNT03 2026 · 4
081612-mo avg: 1.8
PORTOLACITYWIDE TREND (RESCALED)-29% 12MO YOY
MoM
-58%12mo YoY
22last 12mo
4this month
01 · TL;DR

Seven categories moved in Portola this March — three one-month below-trend signals and four sustained structural shifts, the mix pointing to a broad, multi-year decline across property crime rather than a single quiet month.

Burglary, theft from vehicle, and vandalism all ran below trend in the top three signals. Burglary is the most pronounced: 22 incidents in the current 12 months against 52 in the prior year, a 57.7% drop. Motor vehicle theft and theft from vehicle tell a similar story — down 60.8% and 50.7% respectively over the same window. All other tracked categories were also below their prior-year levels, with nothing in the data running against the downward grain.

3 drops4 sustained shifts
02 · Notable signals

Notable signals 3

DROP · BURGLARYZ = 5.07

Burglary

The past 12 months saw 22 incidents — about 67% below the 66 average from prior years.

DROP · THEFT FROM VEHICLEZ = 4.07

Theft from Vehicle

The past 12 months saw 74 incidents — about 69% below the 240 average from prior years.

DROP · VANDALISMZ = 3.66

Vandalism

The past 12 months saw 74 incidents — about 37% below the 117 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-24%
2024-042026-03
Aggravated Assault-17%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-58%
2024-042026-03
Theft from Vehicle-51%
2024-042026-03
Other Larceny-17%
2024-042026-03
Motor Vehicle Theft-61%
2024-042026-03
Vandalism-33%
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 2 next month — likely between 0 and 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

APRIL 2026
Most likely 6 next month — likely between 0 and 15.
+2% vs 12-month average (≈5.8)

Other Larceny

APRIL 2026
Most likely 10 next month — likely between 1 and 19.
0% vs 12-month average (≈9.7)

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 10 next month — likely between 0 and 22.
+63% vs 12-month average (≈6.2)

Vandalism

APRIL 2026
Most likely 7 next month — likely between 1 and 13.
+10% vs 12-month average (≈6.2)
06 · Context & comps

How Portola compares

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

07 · Patterns

Recurring local terms (last 12 months)

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

shopliftingrecoveredlicenseplateforceaggravatedsuspiciouswarrantoccurrencelockedinvestigationlostweaponfalsefoundterroristthreatsfraudulentcasepossessionmoneypersonationordertrafficaided
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
025450712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05641,129MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0364728JanFebMarAprMayJunJulAugSepOctNovDec
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.