SUSTAINED DROP · MOTOR VEHICLE THEFTJUNE 2026 BRIEFINGWASHINGTON DC · 12.7K residents

Navy Yard Crime Rate Trends — Washington DC

Navy Yard is the Southeast riverfront neighborhood organized around Nationals Park and Audi Field, with mid-rise apartment blocks built on top of the former industrial waterfront. The cluster includes the Near Southeast office corridor and the Yards Park boardwalk that runs along the Anacostia River.

MOTOR VEHICLE THEFT · 24-MO COUNT06 2026 · 6
0173512-mo avg: 3.2
NAVY YARDCITYWIDE TREND (RESCALED)-49% 12MO YOY
+200%MoM
-79%12mo YoY
38last 12mo
6this month
01 · TL;DR

June 2026 brought two structural signals in Navy Yard — both sustained shifts, both pointing downward, both concentrated in vehicle-related crime. This is not a single quiet month; the data reflects a multi-year realignment in how often cars are targeted here.

Theft from vehicle is down 78.6% over the trailing 12 months against the prior year (37 incidents vs. 173), and motor vehicle theft is down 79.2% over the same window (38 vs. 183). Both moved enough to register as sustained shifts, not one-month noise. Every other tracked category — robbery, aggravated assault, burglary, other larceny — ran within range this month, leaving the vehicle-crime structural decline as the defining story of the briefing.

2 sustained shifts
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

03 · By category

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.

Homicidebelow threshold
2024-072026-06
Robbery-41%
2024-072026-06
Aggravated Assault+111%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary-14%
2024-072026-06
Theft from Vehicle-79%
2024-072026-06
Other Larceny-11%
2024-072026-06
Motor Vehicle Theft-79%
2024-072026-06
05 · Forecast

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

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Burglary

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Homicide

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Motor Vehicle Theft

JULY 2026
Most likely 14 next month — likely between 2 and 26.
+337% vs 12-month average (≈3.2)

Other Larceny

JULY 2026
Most likely 28 next month — likely between 16 and 39.
+55% vs 12-month average (≈17.9)

Robbery

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Sexual Assault

NO FORECAST

Too low-volume per neighborhood for a reliable point forecast — see the rare-event and streak-break signals above instead.

Theft from Vehicle

JULY 2026
Most likely 10 next month — likely between 0 and 20.
+228% vs 12-month average (≈3.1)
06 · Context & comps

How Navy Yard compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Navy Yard, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

dangerousweaponabusehomicide
When does it happen?

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.

HOUR OF DAY · ALL CATEGORIES
015531012am6am12pm6pm11pm

Hour 0 is mildly inflated by reports without a known time defaulting to midnight — see methodology.

DAY OF WEEK · ALL CATEGORIES
0334669MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0218436JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

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.