SPIKE · MOTOR VEHICLE THEFTSEPTEMBER 2026 BRIEFINGWASHINGTON DC · 12.4K residents

Chevy Chase DC Crime Rate Trends — Washington DC

Chevy Chase DC is the upper-Northwest neighborhood along the Connecticut Avenue corridor up to the Maryland line, distinct from the Chevy Chase town across the border. The cluster also includes Hawthorne and Barnaby Woods to the east, two leafy pockets of single-family homes that step down toward Rock Creek Park.

MOTOR VEHICLE THEFT · 24-MO COUNT09 2026 · 9
051012-mo avg: 3.4
CHEVY CHASE DCCITYWIDE TREND (RESCALED)-47% 12MO YOY
+125%MoM
+310%12mo YoY
41last 12mo
9this month
01 · TL;DR

Four categories moved in Chevy Chase DC this September, a mix of two one-month spikes, two sustained structural shifts, and a zero-event signal. The shape is uneven: motor vehicle theft and other larceny spiked sharply upward, while theft from vehicle has settled into a multi-month structural decline rather than a single quiet reading.

Motor vehicle theft is the most prominent signal, running well above its recent pace with 41 incidents in the trailing 12 months against 10 in the prior period, a 310.0% year-over-year increase. Other larceny also spiked, 122 incidents in the current 12 months versus 73 before, up 67.1%. Theft from vehicle moves in the opposite direction: 90 incidents against 162 the prior year, down 44.4%, and the sustained-shift classification means that decline has held across multiple months, not just September.

2 spikes2 sustained shifts1 zero-event
02 · Notable signals

Notable signals 2

SPIKE · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 41 incidents — about 106% above the 20 average from prior years.

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 122 incidents — about 67% above the 73 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
2024-102026-09
Robberybelow threshold
2024-102026-09
Aggravated Assaultbelow threshold
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglarybelow threshold
2024-102026-09
Theft from Vehicle-44%
2024-102026-09
Other Larceny+67%
2024-102026-09
Motor Vehicle Theft+310%
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 2 next month — likely between 0 and 6.
−28% vs 12-month average (≈3.4)

Other Larceny

OCTOBER 2026
Most likely 8 next month — likely between 2 and 15.
−19% vs 12-month average (≈10.2)

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

OCTOBER 2026
Most likely 10 next month — likely between 0 and 22.
+28% vs 12-month average (≈7.5)
06 · Context & comps

How Chevy Chase DC compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Chevy Chase DCdoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Chevy Chase DC historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny2— too few
Motor vehicle theft1— too few

Each row shows Chevy Chase DC's historical spike events for that category, and how often any of its 3 adjacent neighborhoods spiked the same category within the next 3 months. A high same-category rate suggests a shock that travels (e.g. theft crews moving across Washington DC); a low rate means spikes here tend to be local to the neighborhood. Categories with fewer than 5 historical spike events are listed but their rates are suppressed.

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Chevy Chase DC, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

dangerousweapon
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
010721312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0215430MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0113226JanFebMarAprMayJunJulAugSepOctNovDec
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.