DROP · BURGLARYAPRIL 2026 BRIEFINGWASHINGTON DC · 19.2K residents

Adams Morgan Crime Rate Trends — Washington DC

Adams Morgan is a dense Northwest neighborhood centered on the 18th Street nightlife and restaurant strip, just east of Rock Creek Park and north of Dupont Circle. The cluster also covers the quieter residential streets of Lanier Heights and Kalorama Heights, where rowhouses and pre-war apartment buildings step up from the commercial spine.

BURGLARY · 24-MO COUNT04 2026 · 1
03612-mo avg: 1.0
ADAMS MORGANCITYWIDE TREND (RESCALED)-33% 12MO YOY
MoM
-63%12mo YoY
12last 12mo
1this month
01 · TL;DR

Two categories moved in Adams Morgan this April — one a single-month below-trend signal, one a structural multi-month shift. The shape is narrow but consistent: both signals point downward, and the longer 12-month picture across the neighborhood reinforces that direction.

Burglary is the sharpest move, with a current 12-month total of 12 incidents against a prior-year total of 32 — down 62.5% year over year. Motor vehicle theft registered as a sustained shift, not just a quiet month: 30 incidents over the trailing 12 months versus 63 in the year before, a 52.4% reduction that reflects a structural change rather than noise. Every other tracked category — robbery, aggravated assault, theft from vehicle, other larceny — remained within range this period.

1 drop1 sustained shift
02 · Notable signals

Notable signals 1

DROP · BURGLARY

Burglary

The past 12 months saw 12 incidents — about 66% below the 35 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-4%
2024-052026-04
Aggravated Assault-17%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-63%
2024-052026-04
Theft from Vehicle-22%
2024-052026-04
Other Larceny-5%
2024-052026-04
Motor Vehicle Theft-52%
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

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

APRIL 2027
Most likely 4 next month — likely between 0 and 10.
+63% vs 12-month average (≈2.5)

Other Larceny

APRIL 2027
Most likely 35 next month — likely between 19 and 50.
+8% vs 12-month average (≈32.3)

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 3 next month — likely between 0 and 11.
65% vs 12-month average (≈7.3)
06 · Context & comps

How Adams Morgan compares

Peer neighborhoods picked by closest 12-month burglary 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 burglary levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

dangerousweaponabuse
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
021342612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0474947MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0318637JanFebMarAprMayJunJulAugSepOctNovDec
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.