DROP · VANDALISMJULY 2026 BRIEFINGNEW YORK · 177.1K residents

Queens CD5 — Ridgewood / Maspeth Crime Rate Trends — New York

CD5 covers Ridgewood, Maspeth, Middle Village, and Glendale. Anchored by the Long Island Expressway, the Newtown Creek industrial corridor on the Brooklyn border, the Forest Park western edge, the M train along Myrtle Avenue, and All Faiths and Mount Olivet cemeteries.

VANDALISM · 24-MO COUNT07 2026 · 0
0326312-mo avg: 33.9
QUEENS CD5 — RIDGEWOOD / MASPETHCITYWIDE TREND (RESCALED)-18% 12MO YOY
-100%MoM
-13%12mo YoY
407last 12mo
0this month
01 · TL;DR

July 2026 produced a single notable signal in Ridgewood / Maspeth: a below-trend read on vandalism. Every other tracked category came in within its expected range, making this one of the quieter months in recent briefings.

Vandalism is the structural story. The trailing 12-month total stands at 407 incidents, down 13.2% from 469 in the prior 12-month period. Aggravated assault and burglary also continued multi-year downward trends, off 13.1% and 17.0% respectively against the prior year, while robbery edged 3.9% above its prior-year count, the one category moving in the other direction.

1 drop
02 · Notable signals

Notable signals 1

DROP · VANDALISM

Vandalism

The past 12 months saw 407 incidents — about 34% below the 618 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
2024-082026-07
Robbery+4%
2024-082026-07
Aggravated Assault-13%
2024-082026-07
Sexual Assault-10%
2024-082026-07
Burglary-17%
2024-082026-07
Theft from Vehicle-1%
2024-082026-07
Other Larceny-4%
2024-082026-07
Motor Vehicle Theft-2%
2024-082026-07
Vandalism-13%
2024-082026-07
Arsonbelow threshold
2024-082026-07
05 · Forecast

What next month likely looks like

Forecasts trained through July 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.

Arson

NO FORECAST

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

Burglary

AUGUST 2026
Most likely 16 next month — likely between 3 and 29.
+34% vs 12-month average (≈11.8)

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

AUGUST 2026
Most likely 46 next month — likely between 31 and 61.
+50% vs 12-month average (≈30.6)

Other Larceny

AUGUST 2026
Most likely 159 next month — likely between 111 and 205.
+23% vs 12-month average (≈128.9)

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

AUGUST 2026
Most likely 16 next month — likely between 1 and 30.
+0% vs 12-month average (≈16.0)

Vandalism

AUGUST 2026
Most likely 36 next month — likely between 14 and 58.
+5% vs 12-month average (≈33.9)
06 · Context & comps

How Queens CD5 — Ridgewood / Maspeth compares

Peer neighborhoods picked by closest 12-month vandalism 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 vandalism levels.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Queens CD5 — Ridgewood / Maspeth, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

petitharassmentsubdgrandunclassifiedstoreshoplunattendedbuildingmotorcyclepackagecontemptopencivilianaccesmisdemeantrafficaccidentleavingpersonasceneareasaggravatedresidencelicense
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
01,0272,05412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,5335,067MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,5303,060JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from the NYPD Complaint dataset on NYC Open Data, mapped to 10 UCR-aligned categories, and aggregated to community district × category × month.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.