DROP · THEFT FROM VEHICLEJUNE 2026 BRIEFINGWASHINGTON DC · 16.4K residents

Southwest Waterfront Crime Rate Trends — Washington DC

Southwest Waterfront covers the mile of redeveloped Wharf-anchored riverfront south of the National Mall, including Fort McNair at the Potomac and Anacostia confluence and Buzzard Point on the western edge. The cluster blends the Wharf's restaurant and concert district with mid-century cooperative housing and the federal Southwest Employment Area along Independence Avenue.

THEFT FROM VEHICLE · 24-MO COUNT06 2026 · 6
0132512-mo avg: 4.9
SOUTHWEST WATERFRONTCITYWIDE TREND (RESCALED)-36% 12MO YOY
0%MoM
-59%12mo YoY
59last 12mo
6this month
01 · TL;DR

Four signals shaped June 2026 in Southwest Waterfront — one below-trend single-month signal and three sustained structural shifts. The dominant pattern is a multi-year reshaping of property crime: theft from vehicle and motor vehicle theft are both down sharply over 12 months, while other larceny has moved in the opposite direction.

Theft from vehicle is the clearest structural story: 59 incidents over the current 12 months against 145 in the prior year, a 59.3% decline and well below the multi-year baseline of 171.78. Motor vehicle theft follows a similar arc, down 39.3% year-over-year (85 vs. 140). Other larceny is the counterweight — up 30.5% to 278 incidents, the largest raw volume of any tracked category and a sustained shift, not a one-month anomaly. Aggravated assault at 52.6% above the prior year (29 vs. 19) is a smaller absolute number but a notable directional move worth watching.

1 drop3 sustained shifts
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 59 incidents — about 66% below the 172 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+7%
2024-072026-06
Aggravated Assault+53%
2024-072026-06
Sexual Assaultbelow threshold
2024-072026-06
Burglarybelow threshold
2024-072026-06
Theft from Vehicle-59%
2024-072026-06
Other Larceny+31%
2024-072026-06
Motor Vehicle Theft-39%
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

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

JULY 2026
Most likely 13 next month — likely between 7 and 20.
+89% vs 12-month average (≈7.1)

Other Larceny

JULY 2026
Most likely 21 next month — likely between 8 and 32.
11% vs 12-month average (≈23.2)

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 8 next month — likely between 0 and 18.
+70% vs 12-month average (≈4.9)
06 · Context & comps

How Southwest Waterfront 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 Southwest Waterfront, 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
019038112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0423846MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0246492JanFebMarAprMayJunJulAugSepOctNovDec
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.