OAKLAND · 3.4K residents

Downtown Crime Rate Trends — Oakland

Downtown is Oakland's central business district, anchored by City Hall, the 12th and 19th Street BART stations, and the historic Oakland City Center. Mixed-use blocks of office towers, civic buildings, and converted warehouses, bordered by Lake Merritt to the east.

OTHER LARCENY · 24-MO COUNT03 2026 · 12
071412-mo avg: 7.7
DOWNTOWNCITYWIDE TREND (RESCALED)-15% 12MO YOY
+9%MoM
+11%12mo YoY
92last 12mo
12this month
01 · TL;DR

March 2026 produced no tracked signals in Downtown Oakland — zero categories crossed the anomaly threshold in either direction. That makes this a structural check-in rather than an event-driven briefing: the 12-month trends do the talking.

Across the trailing year, the picture is broadly downward on violent and property crime. Burglary is down 38.7% against the prior 12 months (19 incidents vs. 31), robbery is down 26.1% (17 vs. 23), and motor vehicle theft is down 21.7% (65 vs. 83). The two categories running against that grain are sexual assault, up 83.3% on small absolute numbers (11 vs. 6), and other larceny, up 10.8% (92 vs. 83) — both worth tracking in coming months even though neither triggered a signal this briefing.

No signals this month
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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-26%
2024-042026-03
Aggravated Assault-5%
2024-042026-03
Sexual Assault+83%
2024-042026-03
Burglary-39%
2024-042026-03
Theft from Vehicle-6%
2024-042026-03
Other Larceny+11%
2024-042026-03
Motor Vehicle Theft-22%
2024-042026-03
Vandalism-22%
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 5.

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 9 next month — likely between 4 and 15.
+71% vs 12-month average (≈5.4)

Other Larceny

APRIL 2026
Most likely 6 next month — likely between 1 and 10.
22% vs 12-month average (≈7.7)

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 13 next month — likely between 0 and 28.
+37% vs 12-month average (≈9.8)

Vandalism

APRIL 2026
Most likely 4 next month — likely between 0 and 13.
+4% vs 12-month average (≈4.1)
06 · Context & comps

How Downtown compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

spousegrandforceweapondangerousfirearmcourtinflictinjurycohabitantcorporalexhibitdatemailorderpeaceterrorizecreditdisturbcontemptdeathfeetfistshandsstrong
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
010921812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0247494MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0155310JanFebMarAprMayJunJulAugSepOctNovDec
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.