DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGWASHINGTON DC · 26.3K 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 COUNT04 2026 · 10
0254912-mo avg: 16.3
EDGEWOODCITYWIDE TREND (RESCALED)-32% 12MO YOY
-17%MoM
-48%12mo YoY
195last 12mo
10this month
01 · TL;DR

Seven categories moved in Edgewood this April — three one-month below-trend signals and four sustained structural shifts. The dominant pattern is a broad, multi-year pullback across property and violent crime, not a single outlier month.

Theft from vehicle leads the top signals: the current 12-month total is 195, down from 372 the year before — a 47.6% decline against the prior period. Burglary and aggravated assault also ran below trend this month, with 12-month totals of 30 (vs. 69 prior) and 26 (vs. 44 prior), respectively. Four of the seven signals are sustained shifts, meaning the declines in categories like robbery and motor vehicle theft reflect structural moves across two full years, not one quiet month.

3 drops4 sustained shifts
02 · Notable signals

Notable signals 3

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 195 incidents — about 47% below the 367 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 30 incidents — about 55% below the 67 average from prior years.

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 26 incidents — about 61% below the 66 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
2024-052026-04
Robbery-42%
2024-052026-04
Aggravated Assault-41%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-57%
2024-052026-04
Theft from Vehicle-48%
2024-052026-04
Other Larceny+19%
2024-052026-04
Motor Vehicle Theft-49%
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 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

APRIL 2027
Most likely 2 next month — likely between 0 and 7.
28% vs 12-month average (≈2.5)

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

APRIL 2027
Most likely 28 next month — likely between 6 and 50.
+119% vs 12-month average (≈13.0)

Other Larceny

APRIL 2027
Most likely 29 next month — likely between 15 and 44.
15% vs 12-month average (≈33.9)

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

APRIL 2027
Most likely 16 next month — likely between 0 and 32.
+1% vs 12-month average (≈16.3)
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
036272512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
08201,639MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
05121,023JanFebMarAprMayJunJulAugSepOctNovDec
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.