DROP · VANDALISMMARCH 2026 BRIEFINGOAKLAND · 7.3K residents

Seminary Park Crime Rate Trends — Oakland

Seminary Park is an East Oakland residential neighborhood near the Seminary Avenue and Foothill Boulevard intersection, named for the eponymous public space. Predominantly single-family housing on sloped streets toward the hills.

VANDALISM · 24-MO COUNT03 2026 · 4
061212-mo avg: 3.8
SEMINARY PARKCITYWIDE TREND (RESCALED)-24% 12MO YOY
0%MoM
-22%12mo YoY
46last 12mo
4this month
01 · TL;DR

Two categories moved in Seminary Park this month — both below trend. Vandalism and robbery each registered drops, with no spikes, rare events, or sustained shifts in the mix. The signal count is low, and the overall shape of the month is quietly downward.

Vandalism is the stronger of the two signals: the current 12-month total stands at 46 incidents against a baseline of 69.67, and down 22.0% against the prior 12 months (59 incidents). Robbery ran below trend as well, with 20 incidents over the trailing year compared to 22 the year before, a 9.1% decline. Every other tracked category — homicide, aggravated assault, burglary, theft from vehicle, other larceny, motor vehicle theft — fell within its expected range this month.

2 drops
02 · Notable signals

Notable signals 2

DROP · VANDALISM

Vandalism

The past 12 months saw 46 incidents — about 34% below the 70 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 20 incidents — about 46% below the 37 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.

Homicide-29%
2024-042026-03
Robbery-9%
2024-042026-03
Aggravated Assault-24%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-61%
2024-042026-03
Theft from Vehicle+11%
2024-042026-03
Other Larceny+6%
2024-042026-03
Motor Vehicle Theft+1%
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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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 11 next month — likely between 3 and 19.
+8% vs 12-month average (≈10.4)

Other Larceny

APRIL 2026
Most likely 11 next month — likely between 7 and 15.
+30% vs 12-month average (≈8.3)

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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Vandalism

APRIL 2026
Most likely 4 next month — likely between 1 and 8.
+17% vs 12-month average (≈3.8)
06 · Context & comps

How Seminary Park 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Seminary Park has spiked other larceny historically (12 events on record), an adjacent neighborhood spiked the same category within 3 months 75% of the time. The strongest-travelling categories sit at the top of the table.

Seminary Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny1275%

Each row shows Seminary Park's historical spike events for that category, and how often any of its 5 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across Oakland); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

07 · Patterns

Recurring local terms (last 12 months)

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

firearmspouseweaponforcemannernegligentcourtdischargewillfuldangerousdateinjuryinflictorderpeacedisturbintentgrandterrorizeexhibitthreatedthreatscohabitantcontemptcorporal
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
011122212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0203406MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0131262JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from OPD's CrimeWatch feed on Oakland Open Data, 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.