DROP · THEFT FROM VEHICLEAUGUST 2026 BRIEFINGWASHINGTON DC · 10.1K residents

Brookland Crime Rate Trends — Washington DC

Brookland is the Northeast neighborhood organized around 12th Street NE and the Brookland-CUA Metro station, with the Catholic University campus and the Basilica of the National Shrine forming its institutional spine. The cluster extends east through Brentwood and Langdon, predominantly single-family residential blocks that face the Hyattsville border.

THEFT FROM VEHICLE · 24-MO COUNT08 2026 · 15
0163212-mo avg: 11.8
BROOKLANDCITYWIDE TREND (RESCALED)-38% 12MO YOY
+7%MoM
-42%12mo YoY
142last 12mo
15this month
01 · TL;DR

Four tracked signals shaped August 2026 in Brookland: one below-trend month for theft from vehicle and three sustained structural shifts, all pointing downward across property and violent crime categories. The sustained-shift signals are the more significant story here, each reflecting a multi-month change in the underlying rate rather than a single quiet period.

Theft from vehicle is the strongest individual signal, down 42.0% over the trailing 12 months, 142 incidents against 245 in the prior year. Robbery is also in sustained decline, 28 incidents in the current 12 months versus 64 in the year before, a drop of 56.2%. Motor vehicle theft has followed the same direction, off 58.7% year over year. Everything else tracked in Brookland this month fell within its normal range.

1 drop3 sustained shifts
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 142 incidents — about 53% below the 305 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
2024-092026-08
Robbery-56%
2024-092026-08
Aggravated Assault+88%
2024-092026-08
Sexual Assaultbelow threshold
2024-092026-08
Burglary-20%
2024-092026-08
Theft from Vehicle-42%
2024-092026-08
Other Larceny-6%
2024-092026-08
Motor Vehicle Theft-59%
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 3 next month — likely between 0 and 7.
+41% vs 12-month average (≈2.3)

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

SEPTEMBER 2026
Most likely 12 next month — likely between 1 and 23.
+113% vs 12-month average (≈5.8)

Other Larceny

SEPTEMBER 2026
Most likely 31 next month — likely between 8 and 53.
+20% vs 12-month average (≈26.0)

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

SEPTEMBER 2026
Most likely 17 next month — likely between 5 and 30.
+47% vs 12-month average (≈11.8)
06 · Context & comps

How Brookland 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 Brookland, 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
030360612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
07781,557MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0468935JanFebMarAprMayJunJulAugSepOctNovDec
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.