DROP · MOTOR VEHICLE THEFTMARCH 2026 BRIEFINGOAKLAND · 46.7K residents

Elmhurst Crime Rate Trends — Oakland

Elmhurst is a sprawling East Oakland neighborhood between 73rd and 98th Avenues, bordered by I-580 to the east. A mix of residential blocks, commercial corridors along International Boulevard, and the historic Elmhurst Library on Bancroft Avenue.

MOTOR VEHICLE THEFT · 24-MO COUNT03 2026 · 39
05110212-mo avg: 47.6
ELMHURSTCITYWIDE TREND (RESCALED)-25% 12MO YOY
0%MoM
-21%12mo YoY
571last 12mo
39this month
01 · TL;DR

Six categories moved in Elmhurst in March 2026 — four ran below trend on a single-month basis, two registered as sustained structural shifts. The overall shape is broadly downward, concentrated in property crime and violent crime alike, with no spikes or rare-event signals in the mix.

Motor vehicle theft is the headline mover: the trailing 12-month total sits at 571, down 21.0% against the prior year's 723 and well below the multi-year baseline of 861.7. Robbery follows a similar trajectory — 152 incidents in the current 12 months against 216 the year before, a 29.6% reduction — and vandalism is also running below trend, 234 vs. 298, down 21.5%. The two sustained-shift signals indicate these aren't just quiet months; the reductions in Elmhurst reflect a pattern that has been building across multiple reporting periods.

4 drops2 sustained shifts
02 · Notable signals

Notable signals 4

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 571 incidents — about 34% below the 862 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 152 incidents — about 35% below the 232 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 234 incidents — about 30% below the 336 average from prior years.

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 301 incidents — about 47% below the 572 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-9%
2024-042026-03
Robbery-30%
2024-042026-03
Aggravated Assault-30%
2024-042026-03
Sexual Assault+21%
2024-042026-03
Burglary-26%
2024-042026-03
Theft from Vehicle-22%
2024-042026-03
Other Larceny-18%
2024-042026-03
Motor Vehicle Theft-21%
2024-042026-03
Vandalism-22%
2024-042026-03
Arson+25%
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 13 next month — likely between 5 and 22.
+28% vs 12-month average (≈10.3)

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 43 next month — likely between 20 and 65.
10% vs 12-month average (≈47.6)

Other Larceny

APRIL 2026
Most likely 50 next month — likely between 35 and 65.
+8% vs 12-month average (≈46.3)

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

APRIL 2026
Most likely 10 next month — likely between 1 and 19.
+28% vs 12-month average (≈8.2)

Vandalism

APRIL 2026
Most likely 21 next month — likely between 12 and 30.
+9% vs 12-month average (≈19.5)
06 · Context & comps

How Elmhurst 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Elmhurst has spiked other larceny historically (7 events on record), an adjacent neighborhood spiked the same category within 3 months 0% of the time. The strongest-travelling categories sit at the top of the table.

Elmhurst historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny70%

Each row shows Elmhurst's historical spike events for that category, and how often any of its 4 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 Elmhurst, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

firearmspousemannernegligentweaponforcedischargewillfuldategrandcourtdangerousdeathpossessterrorizeinflictinjuryunexplainedorderintentcarrypeacecohabitantcorporalthreated
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
07121,42512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,3112,621MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
08441,687JanFebMarAprMayJunJulAugSepOctNovDec
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.