Downtown Crime Rate Trends — Washington DC
Downtown is the central business district stretching from the White House east through Penn Quarter to Mount Vernon Square, with Chinatown clustered around the Capital One Arena and the F Street retail corridor running through it. The cluster reaches up to the North Capitol Street axis, bridging the office core to the institutional buildings around Judiciary Square.
Three signals surfaced in Downtown Washington DC this June — one single-month below-trend signal and two sustained structural shifts, both pointing downward. The dominant story is vehicle crime: theft from vehicle and motor vehicle theft are both running well below multi-year levels, and the structural nature of those moves suggests this isn't noise.
Theft from vehicle has dropped 58.7% against the prior 12 months — 130 incidents vs. 315 — and also registered a single-month below-trend signal this period, a double confirmation of the same direction. Motor vehicle theft is similarly down 34.4% (122 vs. 186). Aggravated assault moved the other way, up 32.1% over the trailing year (37 vs. 28), and is the one counter-current in an otherwise broadly declining property-crime picture. Everything else tracked within normal range.
Notable signals 1
Theft from Vehicle
The past 12 months saw 130 incidents — about 73% below the 486 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.
- Theft from Vehicle has reset to a lower baseline.
The trailing 12-month count is 130, down 59% from 315 the year before. If the trend holds another quarter, it will pull the multi-year baseline down.
- Motor Vehicle Theft has reset to a lower baseline.
The trailing 12-month count is 122, down 34% from 186 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 June 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.
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
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.”
Ivy City
135 incidents over the past 12 months — 5 above Downtown's 130.
Open page →Chevy Chase DC
117 incidents over the past 12 months — 13 below Downtown's 130.
Open page →Brookland
146 incidents over the past 12 months — 16 above Downtown's 130.
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 DC Open Data — MPD's per-year Crime Incidents layers on the DCGIS ArcGIS Hub — mapped to 8 UCR Part 1 categories (vandalism and arson are not exposed in MPD's public feed and are excluded). The feed covers 2018-current and updates daily. Aggregated to neighborhood cluster × category × month, with each cluster page identified by its colloquial lead constituent (Adams Morgan, Petworth, Capitol Hill, etc.) rather than the numbered 'Cluster N' identifier.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.