SPIKE · THEFT FROM VEHICLEMAY 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 COUNT05 2026 · 40
05210312-mo avg: 62.7
ROCKRIDGECITYWIDE TREND (RESCALED)-19% 12MO YOY
-7%MoM
+53%12mo YoY
752last 12mo
40this month
01 · TL;DR

Four signals surfaced in Rockridge this May — one single-month spike and three sustained structural shifts. The dominant move is theft from vehicle, which registered both a one-month spike and a multi-year structural increase. On the other side, burglary has shifted structurally downward, a multi-month pattern, not a single quiet month.

Theft from vehicle is the clearest story: 752 incidents over the trailing 12 months against a baseline of 421.4 — up 52.5% from the prior 12-month total of 493. Burglary moved in the opposite direction, down 49.1% year-over-year (59 incidents vs. 116). Robbery also fell sharply over the same window, down 34.6% to 17 incidents from 26, though it did not cross a signal threshold this month.

1 spike3 sustained shifts
02 · Notable signals

Notable signals 1

SPIKE · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 752 incidents — about 78% above the 421 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%
2024-062026-05
Robbery-35%
2024-062026-05
Aggravated Assaultbelow threshold
2024-062026-05
Sexual Assaultbelow threshold
2024-062026-05
Burglary-49%
2024-062026-05
Theft from Vehicle+53%
2024-062026-05
Other Larceny+5%
2024-062026-05
Motor Vehicle Theft-12%
2024-062026-05
Vandalism+48%
2024-062026-05
Arsonbelow threshold
2024-062026-05
05 · Forecast

What next month likely looks like

Forecasts trained through May 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

JUNE 2026
Most likely 7 next month — likely between 0 and 17.
+42% vs 12-month average (≈4.9)

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

JUNE 2026
Most likely 7 next month — likely between 0 and 15.
14% vs 12-month average (≈8.4)

Other Larceny

JUNE 2026
Most likely 24 next month — likely between 12 and 36.
+37% vs 12-month average (≈17.5)

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

JUNE 2026
Most likely 62 next month — likely between 31 and 93.
2% vs 12-month average (≈62.7)

Vandalism

JUNE 2026
Most likely 16 next month — likely between 0 and 31.
5% vs 12-month average (≈16.4)
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 vehicle2— 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.

grandforcibleforcecourtcreditmailobtainanotheridentificationpersonaldeathorderspouseterrorizeunexplainedcontemptfeetfistshandsstrongthreataccessdisobeyfirearmcard
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
038777412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
06251,251MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0359718JanFebMarAprMayJunJulAugSepOctNovDec
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.