WASHINGTON DC · 15.9K residents

Douglas Crime Rate Trends — Washington DC

Douglas is a small Southeast residential neighborhood east of the Anacostia, with rowhouses and apartment buildings set near the Anacostia Metro station. The cluster includes Shipley Terrace, an adjacent garden-apartment district that shares the same residential character.

OTHER LARCENY · 24-MO COUNT09 2026 · 12
0122412-mo avg: 11.1
DOUGLASCITYWIDE TREND (RESCALED)-8% 12MO YOY
+33%MoM
+18%12mo YoY
133last 12mo
12this month
01 · TL;DR

September 2026 was a quiet month for Douglas. No tracked category produced a signal outside the normal range, and the overall pattern across all eight categories held steady without any notable one-month move in either direction.

The 12-month picture tells the more substantive story. Burglary is the sharpest outlier over that window, 40 incidents against 16 in the prior 12 months, a 150.0% rise that stands apart from everything else. Robbery and motor vehicle theft are both running below their prior-year totals, down 20.0% and 10.5% respectively. Violent categories, including aggravated assault at 52 incidents vs. 57, and sexual assault at 3 vs. 5, are also below prior-year levels. The burglary trend is the one figure here that merits watching as the year closes.

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-20%
2024-102026-09
Aggravated Assault-9%
2024-102026-09
Sexual Assaultbelow threshold
2024-102026-09
Burglary+150%
2024-102026-09
Theft from Vehicle-6%
2024-102026-09
Other Larceny+18%
2024-102026-09
Motor Vehicle Theft-11%
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

OCTOBER 2026
Most likely 3 next month — likely between 0 and 6.
−19% vs 12-month average (≈3.3)

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 7 next month — likely between 1 and 13.
+26% vs 12-month average (≈5.7)

Other Larceny

OCTOBER 2026
Most likely 9 next month — likely between 3 and 16.
−15% vs 12-month average (≈11.1)

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 3 next month — likely between 0 and 8.
−20% vs 12-month average (≈4.0)
06 · Context & comps

How Douglas 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Douglasdoesn'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.

Douglas historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Burglary1— too few

Each row shows Douglas's historical spike events for that category, and how often any of its 4 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 Douglas, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

dangerousweaponhomicideabuse
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
011923812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0301602MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0206411JanFebMarAprMayJunJulAugSepOctNovDec
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.