WASHINGTON DC · 17.5K residents

Georgetown Crime Rate Trends — Washington DC

Georgetown is the West Side waterfront neighborhood of Federal-era rowhouses, the Georgetown University campus, and the C&O Canal towpath, with its commercial spine running along M Street and Wisconsin Avenue. The cluster also covers Burleith and Hillandale to the north, two compact pre-war residential pockets that sit between the campus and Glover Park.

OTHER LARCENY · 24-MO COUNT09 2026 · 39
0295912-mo avg: 37.3
GEORGETOWNCITYWIDE TREND (RESCALED)-8% 12MO YOY
0%MoM
+9%12mo YoY
447last 12mo
39this month
01 · TL;DR

September 2026 was a quiet month in Georgetown. No tracked category produced a notable signal, and the overall volume sits within the normal range for this neighborhood.

The 12-month picture shows some directional movement worth noting. Motor vehicle theft is down 39.3% against the prior year, 17 incidents against 28. Other larceny and theft from vehicle are both running modestly above prior-year levels, 9.3% and 11.0% respectively, though neither crossed an anomaly threshold in September. Burglary held flat at 7 incidents in each 12-month window.

No signals this month
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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
Robbery+500%
2024-102026-09
Aggravated Assaultbelow threshold
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglarybelow threshold
2024-102026-09
Theft from Vehicle+11%
2024-102026-09
Other Larceny+9%
2024-102026-09
Motor Vehicle Theft-39%
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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Other Larceny

OCTOBER 2026
Most likely 42 next month — likely between 22 and 60.
+13% vs 12-month average (≈37.3)

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

OCTOBER 2026
Most likely 6 next month — likely between 0 and 24.
−53% vs 12-month average (≈12.6)
06 · Context & comps

How Georgetown compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

07 · Patterns

Recurring local terms (last 12 months)

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

dangerousweaponabuse
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
030661212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
05691,137MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0374748JanFebMarAprMayJunJulAugSepOctNovDec
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.