Downtown Crime Rate Trends — Oakland
Downtown is Oakland's central business district, anchored by City Hall, the 12th and 19th Street BART stations, and the historic Oakland City Center. Mixed-use blocks of office towers, civic buildings, and converted warehouses, bordered by Lake Merritt to the east.
Downtown Oakland registered one tracked signal in July 2026, a sustained structural shift in theft from vehicle. This is not a single quiet month; the multi-month pattern shows a category that has been running well below prior-year levels across the full trailing 12 months.
Theft from vehicle is the clearest mover: 80 incidents over the current 12-month window against 145 in the year before, a 44.8% drop that reflects a durable directional change, not a one-month dip. Every other tracked category came in within its normal range. Homicide and sexual assault also posted lower 12-month totals than the prior year, down 50.0% and 54.5% respectively, but neither produced an anomaly signal this month. Robbery, aggravated assault, burglary, and other larceny all edged modestly above prior-year pace, none by enough to cross the threshold.
Notable signals 0
Nothing notable surfaced this month — every category sits within normal range against its baseline.
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.
- Theft from Vehicle has reset to a lower baseline.
The trailing 12-month count is 80, down 45% from 145 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 Downtown 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.”
Elmhurst
79 incidents over the past 12 months — 1 below Downtown's 80.
Open page →Fruitvale
77 incidents over the past 12 months — 3 below Downtown's 80.
Open page →Pill Hill
85 incidents over the past 12 months — 5 above Downtown's 80.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Downtown, 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.