DROP · THEFT FROM VEHICLESEPTEMBER 2026 BRIEFINGWASHINGTON DC · 20.2K residents

Ivy City Crime Rate Trends — Washington DC

Ivy City is the Northeast industrial-edge neighborhood east of Gallaudet, with redeveloped warehouses now hosting distilleries and a mix of new apartments. The cluster covers Trinidad and Carver Langston to the south plus the Arboretum's western edge, knitting together rowhouse blocks and the city's most active industrial corridor.

THEFT FROM VEHICLE · 24-MO COUNT09 2026 · 17
0397712-mo avg: 11.6
IVY CITYCITYWIDE TREND (RESCALED)-34% 12MO YOY
-6%MoM
-67%12mo YoY
139last 12mo
17this month
01 · TL;DR

Four signals moved in Ivy City this September, one single-month below-trend signal and three sustained structural shifts. The structural pattern is consistently downward across property crime, with multiple categories registering multi-year declines rather than just a quiet month.

Theft from vehicle is the most prominent story: 139 incidents in the current 12 months against 425 in the prior year, a 67.3% reduction that shows up as both a one-month below-trend signal and a sustained structural shift. Other larceny follows a similar arc, 423 incidents against 564 the year before, down 25.0%. Motor vehicle theft has fallen 51.5% over the same 12-month window. Everything else in the property crime mix was within range.

1 drop3 sustained shifts
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 139 incidents — about 66% below the 405 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
2024-102026-09
Robbery+4%
2024-102026-09
Aggravated Assault+26%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary-10%
2024-102026-09
Theft from Vehicle-67%
2024-102026-09
Other Larceny-25%
2024-102026-09
Motor Vehicle Theft-52%
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 5 next month — likely between 1 and 10.
+80% vs 12-month average (≈3.0)

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

OCTOBER 2026
Most likely 28 next month — likely between 10 and 45.
+129% vs 12-month average (≈12.1)

Other Larceny

OCTOBER 2026
Most likely 47 next month — likely between 27 and 70.
+33% vs 12-month average (≈35.3)

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

OCTOBER 2026
Most likely 24 next month — likely between 3 and 47.
+111% vs 12-month average (≈11.6)
06 · Context & comps

How Ivy City 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 Ivy City, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

dangerousweaponhomicideabuse
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
038977812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,0332,067MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
06311,262JanFebMarAprMayJunJulAugSepOctNovDec
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.