NEW YORK · 123.4K residents

Queens CD6 — Forest Hills / Rego Park Crime Rate Trends — New York

CD6 covers Forest Hills and Rego Park. Anchored by the Queens Center mall on its western edge, the Austin Street commercial corridor, Forest Park, the Forest Hills Stadium, and the E/F/M/R subway lines along Queens Boulevard.

OTHER LARCENY · 24-MO COUNT07 2026 · 0
012625212-mo avg: 168.8
QUEENS CD6 — FOREST HILLS / REGO PARKCITYWIDE TREND (RESCALED)-16% 12MO YOY
-100%MoM
-11%12mo YoY
2,026last 12mo
0this month
01 · TL;DR

July 2026 produced no notable signals in Queens CD6, Forest Hills / Rego Park. Every tracked category held within its expected range, with no spikes, drops, sustained shifts, or rare events crossing the anomaly threshold this month.

The 12-month picture tells a broadly downward story across most crime types. Burglary is down 16.6% against the prior year, 126 incidents vs 151. Sexual assault fell 13.5%, theft from vehicle 11.2%, and other larceny 10.7% on a base of 2,026 incidents. Motor vehicle theft is the single exception, up 10.7% year-over-year, 165 incidents against 149, and the one category to watch in coming months.

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
2024-082026-07
Robbery-10%
2024-082026-07
Aggravated Assault-7%
2024-082026-07
Sexual Assault-14%
2024-082026-07
Burglary-17%
2024-082026-07
Theft from Vehicle-11%
2024-082026-07
Other Larceny-11%
2024-082026-07
Motor Vehicle Theft+11%
2024-082026-07
Vandalism-5%
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 12 next month — likely between 5 and 20.
+17% vs 12-month average (≈10.5)

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 18 next month — likely between 11 and 25.
+32% vs 12-month average (≈13.8)

Other Larceny

AUGUST 2026
Most likely 210 next month — likely between 162 and 263.
+24% vs 12-month average (≈168.8)

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

AUGUST 2026
Most likely 9 next month — likely between 0 and 18.
+38% vs 12-month average (≈6.6)

Vandalism

AUGUST 2026
Most likely 25 next month — likely between 9 and 42.
+28% vs 12-month average (≈19.7)
06 · Context & comps

How Queens CD6 — Forest Hills / Rego 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.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Queens CD6 — Forest Hills / Rego Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

petitstoreshoplharassmentsubdgrandunclassifiedunattendedbuildingopencivilianareaspackageaccesmotorcycleresidenceinsideauthtransitmisdemeantrafficaccidentleavingpersonascene
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
08481,69512am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,8893,779MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,1012,201JanFebMarAprMayJunJulAugSepOctNovDec
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.