DROP · THEFT FROM VEHICLEJUNE 2026 BRIEFINGWASHINGTON DC · 26.6K residents

Edgewood Crime Rate Trends — Washington DC

Edgewood is the Northeast neighborhood between Rhode Island Avenue and the Metropolitan Branch Trail, with mid-century apartment complexes and a Rhode Island Avenue Metro station that anchors its commercial life. The cluster includes Bloomingdale and Truxton Circle to the south plus Eckington along the Red Line tracks, a stretch that has shifted from industrial to mixed residential over the past two decades.

THEFT FROM VEHICLE · 24-MO COUNT06 2026 · 23
0254912-mo avg: 16.2
EDGEWOODCITYWIDE TREND (RESCALED)-36% 12MO YOY
+53%MoM
-46%12mo YoY
194last 12mo
23this month
01 · TL;DR

Five categories moved in Edgewood this June — two one-month below-trend signals and three sustained multi-month structural shifts. The direction is consistently downward across property crime and robbery, with no spikes or rare events in the mix.

Theft from vehicle and burglary both ran below trend this month; over the trailing 12 months, theft from vehicle sits at 194 incidents against a baseline of 366.9 — down 45.5% from the prior year's 356. Robbery tells a similar structural story: 65 incidents in the current 12 months vs. 128 in the year before, a 49.2% reduction that registers as a sustained shift rather than a single quiet month. Motor vehicle theft dropped 52.7% year-over-year as well, from 283 to 134, reinforcing the breadth of the property crime decline across the neighborhood.

2 drops3 sustained shifts
02 · Notable signals

Notable signals 2

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 194 incidents — about 47% below the 367 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 34 incidents — about 49% below the 67 average from prior years.

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-49%
2024-072026-06
Aggravated Assault+6%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary-38%
2024-072026-06
Theft from Vehicle-46%
2024-072026-06
Other Larceny+9%
2024-072026-06
Motor Vehicle Theft-53%
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

JULY 2026
Most likely 5 next month — likely between 0 and 11.
+81% vs 12-month average (≈2.8)

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 26 next month — likely between 4 and 45.
+132% vs 12-month average (≈11.2)

Other Larceny

JULY 2026
Most likely 30 next month — likely between 16 and 44.
7% vs 12-month average (≈32.1)

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 18 next month — likely between 2 and 33.
+11% vs 12-month average (≈16.2)
06 · Context & comps

How Edgewood 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.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Edgewood, 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
036773512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08351,671MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05271,054JanFebMarAprMayJunJulAugSepOctNovDec
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.