DROP · THEFT FROM VEHICLEAPRIL 2026 BRIEFINGWASHINGTON DC · 17.1K residents

Cleveland Park Crime Rate Trends — Washington DC

Cleveland Park is the upper-Northwest neighborhood organized around the Connecticut Avenue retail strip and the Cleveland Park Metro stop, with Victorian and early-20th-century houses spreading east toward Rock Creek Park. The cluster reaches south through Woodley Park to the Marriott Wardman Park area and west into Massachusetts Avenue Heights along Embassy Row.

THEFT FROM VEHICLE · 24-MO COUNT04 2026 · 3
071512-mo avg: 3.9
CLEVELAND PARKCITYWIDE TREND (RESCALED)-32% 12MO YOY
MoM
-29%12mo YoY
47last 12mo
3this month
01 · TL;DR

April 2026 was a quiet month in Cleveland Park. One category moved: theft from vehicle ran below trend, the sole signal in an otherwise stable period.

Theft from vehicle sits at 47 incidents over the trailing 12 months, down 28.8% against the prior year's 66. Robbery and burglary also show sharp 12-month declines — down 100.0% and 66.7% respectively against the prior year — though neither crossed the signal threshold this month. Every other tracked category fell within normal range.

1 drop
02 · Notable signals

Notable signals 1

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 47 incidents — about 58% below the 113 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
Robberybelow threshold
2024-052026-04
Aggravated Assaultbelow threshold
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglarybelow threshold
2024-052026-04
Theft from Vehicle-29%
2024-052026-04
Other Larceny+6%
2024-052026-04
Motor Vehicle Theft-32%
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

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

APRIL 2027
Most likely 2 next month — likely between 0 and 5.

Other Larceny

APRIL 2027
Most likely 26 next month — likely between 4 and 47.
3% vs 12-month average (≈26.3)

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

APRIL 2027
Most likely 4 next month — likely between 0 and 12.
+1% vs 12-month average (≈3.9)
06 · Context & comps

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

abusedangerousweapon
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
016132112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0295591MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0183366JanFebMarAprMayJunJulAugSepOctNovDec
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.