DROP · MOTOR VEHICLE THEFTMARCH 2026 BRIEFINGOAKLAND · 11.4K residents

Lockwood Gardens Crime Rate Trends — Oakland

Lockwood Gardens is an East Oakland residential neighborhood near the 73rd Avenue corridor, named for the Lockwood Gardens housing development built in the 1940s. Bordered by I-580 and the Coliseum-area industrial belt.

MOTOR VEHICLE THEFT · 24-MO COUNT03 2026 · 11
0173312-mo avg: 10.9
LOCKWOOD GARDENSCITYWIDE TREND (RESCALED)-25% 12MO YOY
+22%MoM
-36%12mo YoY
131last 12mo
11this month
01 · TL;DR

Six categories moved in Lockwood Gardens this March — four ran below trend on a single-month basis, two reflect sustained structural shifts. The dominant shape is a broad property-crime decline, with theft, vehicle crime, and vandalism all running below their usual rates across multiple signal types.

Motor vehicle theft is the sharpest move: 131 incidents in the current 12 months against a baseline of 259.8, down 36.1% year over year. Vandalism and theft from vehicle also registered below-trend signals — vandalism down 18.4% (84 vs. 103) and theft from vehicle down 46.2% (28 vs. 52). Burglary, at 100 incidents against 73 the prior year, is up 37.0% and runs against the grain of everything else — the one category that did not follow the downward pattern.

4 drops2 sustained shifts
02 · Notable signals

Notable signals 4

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 131 incidents — about 50% below the 260 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 84 incidents — about 26% below the 113 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 28 incidents — about 51% below the 57 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 44 incidents — about 36% below the 69 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-10%
2024-042026-03
Robbery-24%
2024-042026-03
Aggravated Assault-13%
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary+37%
2024-042026-03
Theft from Vehicle-46%
2024-042026-03
Other Larceny-12%
2024-042026-03
Motor Vehicle Theft-36%
2024-042026-03
Vandalism-18%
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 9 next month — likely between 4 and 14.
+10% vs 12-month average (≈8.3)

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 11 next month — likely between 0 and 22.
+1% vs 12-month average (≈10.9)

Other Larceny

APRIL 2026
Most likely 13 next month — likely between 6 and 20.
+15% vs 12-month average (≈11.4)

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 3 next month — likely between 0 and 7.
+39% vs 12-month average (≈2.3)

Vandalism

APRIL 2026
Most likely 8 next month — likely between 3 and 14.
+17% vs 12-month average (≈7.0)
06 · Context & comps

How Lockwood Gardens 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?

Lockwood Gardensdoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Lockwood Gardens historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Homicide1— too few

Each row shows Lockwood Gardens'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 Lockwood Gardens, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

forcefirearmspouseweaponinjurycourtdeathdangerousgrandorderdateinflictintentmannernegligentforciblepossesswillfulcohabitantcorporaldischargepeaceunexplainedexhibitdomestic
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
020340612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0378756MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0231462JanFebMarAprMayJunJulAugSepOctNovDec
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.