SPIKE · MOTOR VEHICLE THEFTMARCH 2026 BRIEFINGNEW YORK · 197.3K residents

Brooklyn CD12 — Borough Park Crime Rate Trends — New York

CD12 covers Borough Park, Kensington, and Ocean Parkway North. Anchored by the 13th Avenue commercial corridor, Maimonides Medical Center, Ocean Parkway's tree-lined median, Green-Wood Cemetery's southern border, and the F and D subway lines.

MOTOR VEHICLE THEFT · 24-MO COUNT03 2026 · 11
0163112-mo avg: 18.8
BROOKLYN CD12 — BOROUGH PARKCITYWIDE TREND (RESCALED)-4% 12MO YOY
-50%MoM
+18%12mo YoY
225last 12mo
11this month
01 · TL;DR

Six categories moved in Brooklyn CD12 — Borough Park this March: three ran below trend, one registered a spike, and two reflect longer structural shifts. The dominant shape is broadly downward across property crime, with one counter-current in motor vehicle theft.

Motor vehicle theft is the clearest outlier — 225 incidents in the current 12 months against a baseline of 119.75, up 17.8% year-over-year. Vandalism and theft from vehicle both ran below trend; vandalism is down 28.9% against the prior 12 months (266 vs. 374), and theft from vehicle is down 33.9% (119 vs. 180). The two sustained-shift signals indicate these property-crime declines are not a one-month dip but a multi-month structural move.

1 spike3 drops2 sustained shifts
02 · Notable signals

Notable signals 4

SPIKE · MOTOR VEHICLE THEFTZ = 2.93

Motor Vehicle Theft

The past 12 months saw 225 incidents — about 88% above the 120 average from prior years.

DROP · VANDALISMZ = 5.54

Vandalism

The past 12 months saw 266 incidents — about 41% below the 449 average from prior years.

DROP · THEFT FROM VEHICLEZ = 2.79

Theft from Vehicle

The past 12 months saw 119 incidents — about 52% below the 247 average from prior years.

DROP · BURGLARYZ = 2.59

Burglary

The past 12 months saw 106 incidents — about 37% below the 167 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
2024-042026-03
Robbery-17%
2024-042026-03
Aggravated Assault+11%
2024-042026-03
Sexual Assault-23%
2024-042026-03
Burglary-22%
2024-042026-03
Theft from Vehicle-34%
2024-042026-03
Other Larceny-25%
2024-042026-03
Motor Vehicle Theft+18%
2024-042026-03
Vandalism-29%
2024-042026-03
Arsonbelow threshold
2024-042026-03
05 · Forecast

What next month likely looks like

Forecasts trained through March 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

APRIL 2026
Most likely 7 next month — likely between 0 and 14.
21% vs 12-month average (≈8.8)

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

APRIL 2026
Most likely 18 next month — likely between 11 and 25.
5% vs 12-month average (≈18.8)

Other Larceny

APRIL 2026
Most likely 92 next month — likely between 63 and 119.
+8% vs 12-month average (≈85.6)

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 2026
Most likely 10 next month — likely between 0 and 20.
1% vs 12-month average (≈9.9)

Vandalism

APRIL 2026
Most likely 26 next month — likely between 14 and 39.
+18% vs 12-month average (≈22.2)
06 · Context & comps

How Brooklyn CD12 — Borough Park compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Brooklyn CD12 — Borough Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

petitharassmentsubdunclassifiedgrandunattendedbuildingcivilianopenpackageareaspossessioncontrolledsubstancemotorcyclestoreshoplforgeryaccidentleavingscenepersonalicensemisdemeantraffic
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
07411,48312am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
01,8333,665MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,0422,085JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from SFPD's open dataset, mapped to 10 NIBRS-aligned categories, and aggregated to neighborhood × 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.