SPIKE · THEFT FROM VEHICLEMARCH 2026 BRIEFINGOAKLAND · 12.6K residents

Rockridge Crime Rate Trends — Oakland

Rockridge is a North Oakland neighborhood organized around the Rockridge BART station and the College Avenue commercial corridor. Predominantly Craftsman and Bungalow single-family housing, bordered by Berkeley to the north and Broadway/Highway 24 to the west.

THEFT FROM VEHICLE · 24-MO COUNT03 2026 · 37
05010012-mo avg: 63.0
ROCKRIDGECITYWIDE TREND (RESCALED)-14% 12MO YOY
-29%MoM
+67%12mo YoY
756last 12mo
37this month
01 · TL;DR

Four categories moved in Rockridge this March — one spike, one drop, and two sustained structural shifts. The dominant signal is a sharp move in theft from vehicle, but the broader picture is mixed: property crime is reorganizing rather than uniformly declining, with burglary falling hard on a multi-year basis while vehicle-related theft runs in the opposite direction.

Theft from vehicle stands at 756 incidents over the trailing 12 months against a baseline of 418.2 — a 67.3% increase year-over-year. Burglary tells the opposing story: 72 incidents in the current 12 months versus 123 in the prior year, a sustained shift down 41.5% that spans multiple periods. Motor vehicle theft ran below trend this month, and robbery is also down 35.7% on a 12-month basis, though neither registered as a sustained structural move.

1 spike1 drop2 sustained shifts
02 · Notable signals

Notable signals 2

SPIKE · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 756 incidents — about 81% above the 418 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 102 incidents — about 39% below the 166 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-19%
2024-042026-03
Robbery-36%
2024-042026-03
Aggravated Assaultbelow threshold
2024-042026-03
Sexual Assaultbelow threshold
2024-042026-03
Burglary-42%
2024-042026-03
Theft from Vehicle+67%
2024-042026-03
Other Larceny-9%
2024-042026-03
Motor Vehicle Theft-20%
2024-042026-03
Vandalism+9%
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 10 next month — likely between 0 and 21.
+59% vs 12-month average (≈6.0)

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 12 next month — likely between 5 and 20.
+37% vs 12-month average (≈8.5)

Other Larceny

APRIL 2026
Most likely 19 next month — likely between 9 and 31.
+15% vs 12-month average (≈16.8)

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 75 next month — likely between 45 and 106.
+19% vs 12-month average (≈63.0)

Vandalism

APRIL 2026
Most likely 6 next month — likely between 0 and 21.
54% vs 12-month average (≈13.6)
06 · Context & comps

How Rockridge compares

Peer neighborhoods picked by closest 12-month theft from vehicle 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 theft from vehicle levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Rockridgedoesn'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.

Rockridge historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Theft from vehicle4— too few

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

grandforceforciblecourtanothercreditidentificationobtaindeathpersonalmailorderspouseunexplainedcontemptfeetfistshandsstrongterrorizepeacethreataccessconsentoccupy
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
037775512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06111,222MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0357714JanFebMarAprMayJunJulAugSepOctNovDec
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.