DROP · VANDALISMMARCH 2026 BRIEFINGOAKLAND · 17.6K residents

Maxwell Park Crime Rate Trends — Oakland

Maxwell Park is an East Oakland hillside neighborhood between High Street and Coliseum Way, organized around the eponymous Maxwell Park natural area. Largely Spanish Revival and Craftsman housing on sloped, tree-lined streets.

VANDALISM · 24-MO COUNT03 2026 · 5
091812-mo avg: 4.1
MAXWELL PARKCITYWIDE TREND (RESCALED)-24% 12MO YOY
-17%MoM
-44%12mo YoY
49last 12mo
5this month
01 · TL;DR

Three categories moved in Maxwell Park this March — one one-month below-trend signal and two sustained structural shifts. The dominant shape is a broad, multi-year pullback across property crime, with burglary and vandalism both registering as longer-term decreases rather than single quiet months.

Vandalism is the most prominent signal: the trailing 12-month total of 49 incidents is down 44.3% against the prior year's 88, a structural compression rather than a one-off dip. Burglary shows the same pattern — 23 incidents over the current 12 months against 66 the year before, a 65.2% decline that now reads as a sustained shift. Everything else in the tracked categories, including robbery and aggravated assault — each down roughly 32% year-over-year — fell within their expected ranges and did not cross any thresholds this month.

1 drop2 sustained shifts
02 · Notable signals

Notable signals 1

DROP · VANDALISM

Vandalism

The past 12 months saw 49 incidents — about 58% below the 118 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+60%
2024-042026-03
Robbery-33%
2024-042026-03
Aggravated Assault-33%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-65%
2024-042026-03
Theft from Vehicle-38%
2024-042026-03
Other Larceny+7%
2024-042026-03
Motor Vehicle Theft-10%
2024-042026-03
Vandalism-44%
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 3 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 25 next month — likely between 13 and 38.
+15% vs 12-month average (≈21.6)

Other Larceny

APRIL 2026
Most likely 23 next month — likely between 14 and 30.
8% vs 12-month average (≈24.4)

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 5 next month — likely between 1 and 10.
+44% vs 12-month average (≈3.8)

Vandalism

APRIL 2026
Most likely 5 next month — likely between 0 and 9.
+11% vs 12-month average (≈4.1)
06 · Context & comps

How Maxwell 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 Maxwell Park has spiked other larceny historically (9 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Maxwell Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny9100%

Each row shows Maxwell Park's historical spike events for that category, and how often any of its 7 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 Maxwell Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

spousefirearmgrandmaildeathmannernegligentunexplaineddatecourtdischargewillfulorderforcepeaceviolatedisturbdomesticinflictweaponpreventviolenceforcibleaccesscard
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
023246412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0404809MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0259517JanFebMarAprMayJunJulAugSepOctNovDec
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.