Golden Gate Crime Rate Trends — Oakland
Golden Gate is a West Oakland neighborhood between San Pablo and Telegraph Avenues along the Berkeley border. Mixed residential and small-commercial blocks, named for the Golden Gate train depot that once stood at 59th and San Pablo.
Three signals surfaced in Golden Gate this month, one single-month below-trend reading and two structural shifts pointing in the same direction. The structural pattern is broadly downward across property crime, with burglary and theft from vehicle both showing multi-month declines rather than a one-off quiet month.
Theft from vehicle is the strongest signal, down 52.0% over the trailing 12 months, 24 incidents against 50 in the prior year. Burglary has moved further: 22 incidents in the current 12-month window versus 69 in the year before, a 68.1% reduction that qualifies as a sustained structural shift rather than month-to-month noise. Violent crime moved in the opposite direction, aggravated assault is up 33.3% year over year (24 vs 18), while robbery fell 30.8% (9 vs 13). Everything else, including motor vehicle theft and vandalism, stayed within a few percentage points of the prior year.
Notable signals 1
Theft from Vehicle
The past 12 months saw 24 incidents — about 55% below the 53 average from prior years.
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.
What's been quietly true for a year
Spikes get attention. Sustained shifts shape policy. These are multi-quarter patterns where the past 12-month total differs meaningfully from the year before — they often precede the baseline resetting.
- Burglary has reset to a lower baseline.
The trailing 12-month count is 22, down 68% from 69 the year before. If the trend holds another quarter, it will pull the multi-year baseline down.
- Theft from Vehicle has reset to a lower baseline.
The trailing 12-month count is 24, down 52% from 50 the year before. If the trend holds another quarter, it will pull the multi-year baseline down.
What next month likely looks like
Forecasts trained through July 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
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Arson
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
Burglary
Homicide
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Motor Vehicle Theft
Other Larceny
Robbery
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Sexual Assault
Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.
Theft from Vehicle
Vandalism
How Golden Gate 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.”
Lockwood Gardens
23 incidents over the past 12 months — 1 below Golden Gate's 24.
Open page →Millsmont
18 incidents over the past 12 months — 6 below Golden Gate's 24.
Open page →Seminary Park
18 incidents over the past 12 months — 6 below Golden Gate's 24.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Golden Gate, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.
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.
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.