DROP · THEFT FROM VEHICLEJUNE 2026 BRIEFINGWASHINGTON DC · 14.2K 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 COUNT06 2026 · 8
0112212-mo avg: 6.2
TWININGCITYWIDE TREND (RESCALED)-36% 12MO YOY
-20%MoM
-44%12mo YoY
74last 12mo
8this month
01 · TL;DR

Five signals surfaced in Twining this June — one single-month below-trend move and four sustained structural shifts. The dominant shape is multi-year decline: across robbery, theft from vehicle, and two other categories, the trailing 12 months are running well below the 12 months before. This is not a one-month dip; it reflects a structural reset across several property and violent crime categories.

Theft from vehicle is the most concrete illustration: 74 incidents over the current 12 months against a prior-year total of 133, a 44.4% drop, and both a single-month signal and a sustained shift flag. Robbery shows similar depth — 37 incidents against 65 in the prior period, down 43.1%. Aggravated assault is the one counter-move, up 23.8% year-over-year (52 incidents vs. 42), and stands out against an otherwise downward pattern across the neighborhood.

1 drop4 sustained shifts
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 74 incidents — about 67% below the 223 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
2024-072026-06
Robbery-43%
2024-072026-06
Aggravated Assault+24%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglary-3%
2024-072026-06
Theft from Vehicle-44%
2024-072026-06
Other Larceny-28%
2024-072026-06
Motor Vehicle Theft-45%
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 3 next month — likely between 0 and 7.
+38% 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

JULY 2026
Most likely 16 next month — likely between 6 and 27.
+86% vs 12-month average (≈8.8)

Other Larceny

JULY 2026
Most likely 19 next month — likely between 10 and 29.
+32% vs 12-month average (≈14.4)

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

JULY 2026
Most likely 9 next month — likely between 0 and 19.
+42% vs 12-month average (≈6.2)
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.

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
020941812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05621,123MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0345691JanFebMarAprMayJunJulAugSepOctNovDec
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.