WASHINGTON DC · 18.0K residents

Fort Totten Crime Rate Trends — Washington DC

Fort Totten is the Northeast transit hub neighborhood centered on the Fort Totten Metro station, where the Red, Yellow, and Green lines converge. The cluster extends through Lamont Riggs, Queens Chapel, and Pleasant Hill, residential blocks of mid-century houses and apartment buildings that step down from the rail yards.

OTHER LARCENY · 24-MO COUNT04 2026 · 11
0132512-mo avg: 12.4
FORT TOTTENCITYWIDE TREND (RESCALED)-10% 12MO YOY
-35%MoM
+6%12mo YoY
149last 12mo
11this month
01 · TL;DR

April 2026 was a quiet month for Fort Totten. No tracked category crossed the anomaly threshold — zero signals of any type surfaced across the full category set.

The 12-month totals show the structural picture. Burglary is down 35.7% against the prior year (9 incidents vs. 14), and theft from vehicle is down 16.7% (120 vs. 144) — both running well below their prior-year pace. Robbery moved in the opposite direction, up 19.0% over the same window (25 vs. 21), though at these volumes a shift of four incidents drives a large percentage. Everything else — aggravated assault, other larceny, motor vehicle theft — held within a few percent of the prior year.

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
2024-052026-04
Robbery+19%
2024-052026-04
Aggravated Assault+6%
2024-052026-04
Sexual Assaultbelow threshold
2024-052026-04
Burglarybelow threshold
2024-052026-04
Theft from Vehicle-17%
2024-052026-04
Other Larceny+6%
2024-052026-04
Motor Vehicle Theft+8%
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 12 next month — likely between 4 and 20.
+26% vs 12-month average (≈9.3)

Other Larceny

APRIL 2027
Most likely 8 next month — likely between 0 and 16.
39% vs 12-month average (≈12.4)

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

APRIL 2027
Most likely 5 next month — likely between 0 and 16.
48% vs 12-month average (≈10.0)
06 · Context & comps

How Fort Totten 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 Fort Totten, 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
014428712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0361723MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0234469JanFebMarAprMayJunJulAugSepOctNovDec
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.