DROP · VANDALISMAUGUST 2026 BRIEFINGNEW YORK · 204.8K residents

Queens CD13 — Queens Village / Cambria Heights Crime Rate Trends — New York

CD13 covers Queens Village, Cambria Heights, Bellerose, Floral Park, Glen Oaks, Laurelton, Rosedale, and Brookville. Anchored by the Cross Island Parkway, the Belt Parkway, the Hillside Avenue and Hempstead Avenue commercial corridors, and the LIRR's Hempstead Branch and Far Rockaway Branch.

VANDALISM · 24-MO COUNT08 2026 · 0
0418212-mo avg: 44.3
QUEENS CD13 — QUEENS VILLAGE / CAMBRIA HEIGHTSCITYWIDE TREND (RESCALED)-26% 12MO YOY
—MoM
-22%12mo YoY
531last 12mo
0this month
01 · TL;DR

Seven categories moved in Queens CD13 this August briefing, and the direction is almost uniformly downward. Four ran below trend in a single-month signal, and three are showing sustained multi-month structural shifts. Across property and violent crime alike, the pattern is broadly and consistently lower than prior-year levels.

Vandalism is the strongest signal, with the trailing 12 months at 531 incidents against 1,496 in the prior period for Other Larceny, though vandalism itself at 531 is well below its recent pace. Burglary has fallen 51.5% year-over-year, 94 incidents in the current 12 months against 194 in the prior year, and robbery is down 22.6%, from 137 to 106. Motor vehicle theft and aggravated assault add further depth to the downward picture, off 36.4% and 20.3% respectively. Everything else in the tracked set moved in the same direction or held close to range.

4 drops3 sustained shifts
02 · Notable signals

Notable signals 4

DROP · VANDALISM

Vandalism

The past 12 months saw 531 incidents — about 35% below the 816 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 94 incidents — about 54% below the 206 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 106 incidents — about 36% below the 167 average from prior years.

DROP · THEFT FROM VEHICLE

Theft from Vehicle

The past 12 months saw 129 incidents — about 57% below the 301 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-23%
2024-092026-08
Aggravated Assault-20%
2024-092026-08
Sexual Assault-10%
2024-092026-08
Burglary-52%
2024-092026-08
Theft from Vehicle-51%
2024-092026-08
Other Larceny-3%
2024-092026-08
Motor Vehicle Theft-36%
2024-092026-08
Vandalism-22%
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 15 next month — likely between 6 and 25.
+94% vs 12-month average (≈7.8)

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

SEPTEMBER 2026
Most likely 32 next month — likely between 12 and 48.
+46% vs 12-month average (≈21.7)

Other Larceny

SEPTEMBER 2026
Most likely 140 next month — likely between 71 and 205.
+12% vs 12-month average (≈124.7)

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 18 next month — likely between 0 and 36.
+70% vs 12-month average (≈10.8)

Vandalism

SEPTEMBER 2026
Most likely 54 next month — likely between 29 and 81.
+23% vs 12-month average (≈44.3)
06 · Context & comps

How Queens CD13 — Queens Village / Cambria Heights 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.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Queens CD13 — Queens Village / Cambria Heightsdoesn'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.

Queens CD13 — Queens Village / Cambria Heights historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Sexual assault1— too few

Each row shows Queens CD13 — Queens Village / Cambria Heights'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 New York); 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 Queens CD13 — Queens Village / Cambria Heights, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

harassmentsubdunclassifiedpetitgrandtrafficmisdemeanpossessionstoreshoplcivilianbuildingunattendedcontemptaggravatedendangeringchildwelfareweaponsmotorcycleaccidentleavingpersonasceneopen
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
01,0992,19812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,6605,320MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,6043,209JanFebMarAprMayJunJulAugSepOctNovDec
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.