Jingletown Crime Rate Trends — Oakland
Jingletown is a compact estuary-front neighborhood between the Park Street Bridge and the I-880 corridor, historically working-class and now home to artist studios and converted industrial spaces. Sits at the junction of the Lake Merritt Channel and the inner harbor.
March 2026 was a quiet month for Jingletown. No tracked category crossed an anomaly threshold — zero signals across all eight crime buckets, which is itself a data point worth registering in a neighborhood with historically active property crime.
The 12-month picture shows more movement than this month's stillness implies. Robbery is down 58.7% against the prior year — 19 incidents over the current period versus 46 in the year before — and motor vehicle theft is down 13.5% (45 vs. 52). Moving the other direction: theft from vehicle is up 33.3% (12 vs. 9) and burglary is up 15.4% (15 vs. 13). Aggravated assault is unchanged at 25 incidents. Everything else sat within normal range for the month.
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.
No sustained shifts surfaced this month.
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
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
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
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
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
Vandalism
Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.
How Jingletown compares
Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”
Piedmont Pines
53 incidents over the past 12 months — 17 above Jingletown's 36.
Open page →Clinton
58 incidents over the past 12 months — 22 above Jingletown's 36.
Open page →Oakmore Highlands
59 incidents over the past 12 months — 23 above Jingletown's 36.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Jingletown, 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.