Maxwell Park Crime Rate Trends — Oakland
Maxwell Park is an East Oakland hillside neighborhood between High Street and Coliseum Way, organized around the eponymous Maxwell Park natural area. Largely Spanish Revival and Craftsman housing on sloped, tree-lined streets.
Four signals emerged in Maxwell Park this March — one single-month below-trend signal and three sustained structural shifts. The structural pattern is predominantly downward across property crime, with burglary, theft from vehicle, and vandalism all running well below their prior-year levels on a 12-month basis.
Burglary is the most dramatic sustained shift: 23 incidents in the current 12 months against 66 in the prior year, a 65.2% decline. Theft from vehicle is also in sustained territory, down 38.9% (44 vs. 72). Vandalism generated the month's single below-trend signal — current 12-month volume of 49 against a prior-year total of 88, a 44.3% gap — and all other tracked categories remained within normal range for the period.
Notable signals 1
Vandalism
The past 12 months saw 49 incidents — about 58% below the 118 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 23, down 65% from 66 the year before. If the trend holds another quarter, it will pull the multi-year baseline down.
- Vandalism has reset to a lower baseline.
The trailing 12-month count is 49, down 44% from 88 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 44, down 39% from 72 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 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
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 Maxwell Park compares
Peer neighborhoods picked by closest 12-month vandalism 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 vandalism levels.”
Downtown
49 incidents over the past 12 months — 0 below Maxwell Park's 49.
Open page →Piedmont Avenue
51 incidents over the past 12 months — 2 above Maxwell Park's 49.
Open page →Seminary Park
46 incidents over the past 12 months — 3 below Maxwell Park's 49.
Open page →Recurring local terms (last 12 months)
Top terms in incident descriptions for Maxwell Park, 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 SFPD's open dataset, 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.