DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGWASHINGTON DC · 15.0K residents

Twining Crime Rate Trends — Washington DC

Twining is a small Southeast residential neighborhood east of the Anacostia, with rowhouses and detached homes set near Fort Davis Park and Fort Dupont Park. The cluster covers Fairlawn, Randle Highlands, and Penn Branch as well, a contiguous residential band along the eastern edge of the park system.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 6
0112212-mo avg: 6.3
TWININGCITYWIDE TREND (RESCALED)-32% 12MO YOY
+100%MoM
-48%12mo YoY
76last 12mo
6this month
01 · TL;DR

Five categories moved in Twining this April — two one-month below-trend signals and three sustained structural shifts, all pointing in the same direction. The shape of the month is broad and downward: every tracked category in the neighborhood is running below its prior-year pace, and the multi-month sustained shifts confirm this isn't noise from a single quiet period.

Theft from vehicle is the sharpest single signal, with the current 12-month total of 76 incidents sitting well below the multi-year baseline mean of 225.08 — a 47.6% drop against the prior 12 months (145 incidents). Aggravated assault also ran below trend this month, and robbery's sustained shift reflects a 45.6% decline against the prior year, from 68 incidents to 37. Everything else in the tracked categories — burglary, motor vehicle theft, other larceny — followed the same pattern without crossing into signal territory, consistent with a neighborhood-wide structural retreat across crime types.

2 drops3 sustained shifts
02 · Notable signals

Notable signals 2

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 76 incidents — about 66% below the 225 average from prior years.

DROP · AGGRAVATED ASSAULT

Aggravated Assault

The past 12 months saw 45 incidents — about 41% below the 76 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-46%
2024-052026-04
Aggravated Assault-20%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglary-13%
2024-052026-04
Theft from Vehicle-48%
2024-052026-04
Other Larceny-24%
2024-052026-04
Motor Vehicle Theft-31%
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 1 next month — likely between 0 and 5.
68% 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

APRIL 2027
Most likely 17 next month — likely between 6 and 27.
+60% vs 12-month average (≈10.4)

Other Larceny

APRIL 2027
Most likely 14 next month — likely between 4 and 25.
6% vs 12-month average (≈15.1)

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

APRIL 2027
Most likely 3 next month — likely between 0 and 14.
51% vs 12-month average (≈6.3)
06 · Context & comps

How Twining 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 Twining, 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
020641112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05571,114MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0338675JanFebMarAprMayJunJulAugSepOctNovDec
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.