DROP · VANDALISMAUGUST 2026 BRIEFINGNEW YORK · 144.1K residents

Queens CD9 — Kew Gardens / Woodhaven Crime Rate Trends — New York

CD9 covers Kew Gardens, Woodhaven, Richmond Hill, and Ozone Park's northern edge. Anchored by Forest Park, the Jamaica Avenue commercial corridor, the Kew Gardens civic / courthouse complex, the Van Wyck Expressway, and the J/Z train along Jamaica Avenue.

VANDALISM · 24-MO COUNT08 2026 · 0
0326312-mo avg: 29.2
QUEENS CD9 — KEW GARDENS / WOODHAVENCITYWIDE TREND (RESCALED)-26% 12MO YOY
—MoM
-28%12mo YoY
350last 12mo
0this month
01 · TL;DR

Five signals surfaced in Queens CD9 (Kew Gardens / Woodhaven) this August, a mix of two one-month below-trend readings and three sustained structural shifts. The overall shape is broadly downward across property crime, with no spikes and no rare events in the mix.

Vandalism is the strongest single signal: the trailing 12 months show 350 incidents against 485 in the prior year, down 27.8%, and this month registered a one-month below-trend reading on top of that structural decline. Theft from vehicle appears twice in the top signals, both a one-month below-trend result and a sustained multi-month shift, with the 12-month total at 89 against 141 the year before, down 36.9%. Other larceny rounds out the broader picture, off 33.0% over the same 12-month window, 993 incidents against 1,481. Everything else in the tracked categories was within its expected range.

2 drops3 sustained shifts
02 · Notable signals

Notable signals 2

DROP · VANDALISM

Vandalism

The past 12 months saw 350 incidents — about 43% below the 609 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 89 incidents — about 57% below the 208 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
2024-092026-08
Robbery-14%
2024-092026-08
Aggravated Assault-9%
2024-092026-08
Sexual Assault+11%
2024-092026-08
Burglary-15%
2024-092026-08
Theft from Vehicle-37%
2024-092026-08
Other Larceny-33%
2024-092026-08
Motor Vehicle Theft-14%
2024-092026-08
Vandalism-28%
2024-092026-08
Arsonbelow threshold
2024-092026-08
05 · Forecast

What next month likely looks like

Forecasts trained through August 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

SEPTEMBER 2026
Most likely 7 next month — likely between 0 and 15.
−4% vs 12-month average (≈7.7)

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

SEPTEMBER 2026
Most likely 30 next month — likely between 18 and 42.
+44% vs 12-month average (≈21.0)

Other Larceny

SEPTEMBER 2026
Most likely 113 next month — likely between 67 and 163.
+37% vs 12-month average (≈82.8)

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

SEPTEMBER 2026
Most likely 10 next month — likely between 0 and 21.
+39% vs 12-month average (≈7.4)

Vandalism

SEPTEMBER 2026
Most likely 29 next month — likely between 13 and 46.
−1% vs 12-month average (≈29.2)
06 · Context & comps

How Queens CD9 — Kew Gardens / Woodhaven 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 CD9 — Kew Gardens / Woodhaven, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

harassmentsubdpetitunclassifiedgrandstoreshoplcivilianbuildingcontemptunattendedaggravatedpackagechildendangeringwelfareaccidentleavingscenepersonamenacinglicenseplatetrafficmisdemean
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
08501,70112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,0424,084MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,2722,544JanFebMarAprMayJunJulAugSepOctNovDec
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.