SUSTAINED DROP · OTHER LARCENYAPRIL 2026 BRIEFINGWASHINGTON DC · 12.2K residents

North Cleveland Park Crime Rate Trends — Washington DC

North Cleveland Park is a mid-Northwest residential pocket along the Connecticut Avenue corridor, with its commercial life concentrated at the Van Ness Metro station to the south and Forest Hills' single-family streets to the east. The cluster shares the Connecticut Avenue spine with Forest Hills and Van Ness, three quiet residential neighborhoods that share a Metro and a school district but not a tight commercial center.

OTHER LARCENY · 24-MO COUNT04 2026 · 3
0173512-mo avg: 11.8
NORTH CLEVELAND PARKCITYWIDE TREND (RESCALED)-10% 12MO YOY
-73%MoM
-29%12mo YoY
142last 12mo
3this month
01 · TL;DR

North Cleveland Park registered one signal in April 2026 — a sustained shift in other larceny. This is a structural move, not a single quiet month: the 12-month trailing count is running below the prior 12-month period across the board, with other larceny leading the change.

Other larceny is down 28.6% year-over-year, 142 incidents in the current 12 months against 199 in the year before. Theft from vehicle is off 20.8% (57 vs. 72), and robbery is down 40.0% on a small base — 3 incidents versus 5. Every tracked category in North Cleveland Park is below its prior-year level; none registered a spike or rare event this month.

1 sustained shift
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
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-21%
2024-052026-04
Other Larceny-29%
2024-052026-04
Motor Vehicle Theft-13%
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

NO FORECAST

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

Other Larceny

APRIL 2027
Most likely 11 next month — likely between 1 and 20.
6% vs 12-month average (≈11.8)

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 3 next month — likely between 0 and 9.
47% vs 12-month average (≈4.8)
06 · Context & comps

How North Cleveland Park 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?

When North Cleveland Park has spiked other larceny historically (11 events on record), an adjacent neighborhood spiked the same category within 3 months 0% of the time. The strongest-travelling categories sit at the top of the table.

North Cleveland Park historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny110%

Each row shows North Cleveland Park'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 North Cleveland Park, 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
08116312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0186372MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0109218JanFebMarAprMayJunJulAugSepOctNovDec
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.