DROP · BURGLARYMARCH 2026 BRIEFINGNEW YORK · 112.6K residents

Brooklyn CD4 — Bushwick Crime Rate Trends — New York

CD4 is Bushwick. Anchored by the Knickerbocker Avenue and Wyckoff Avenue commercial strips, Maria Hernandez Park, the Bushwick Inlet on the Newtown Creek border, and the L and M trains along Myrtle and Wyckoff avenues.

BURGLARY · 24-MO COUNT03 2026 · 18
0173312-mo avg: 14.3
BROOKLYN CD4 — BUSHWICKCITYWIDE TREND (RESCALED)-9% 12MO YOY
+13%MoM
-9%12mo YoY
172last 12mo
18this month
01 · TL;DR

March 2026 was a quiet month in Brooklyn CD4 — Bushwick. One category registered a signal: burglary ran below its trend baseline. Every other tracked category — robbery, aggravated assault, sexual assault, theft from vehicle, other larceny, motor vehicle theft, vandalism — came in within its normal range.

The burglary signal fits a longer pattern. The trailing 12-month total stands at 172 incidents, down from 188 the prior year — a 12-month decline of 8.5% against a baseline mean of 272.43. Motor vehicle theft and vandalism are also running well below prior-year levels at -17.7% and -13.6% respectively, reinforcing a broader downward drift in property crime. Other larceny, at 1,579 incidents and up 14.4% year over year, remains the one category moving in the opposite direction.

1 drop
02 · Notable signals

Notable signals 1

DROP · BURGLARY

Burglary

The past 12 months saw 172 incidents — about 37% below the 272 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-10%
2024-042026-03
Aggravated Assault+6%
2024-042026-03
Sexual Assault-3%
2024-042026-03
Burglary-9%
2024-042026-03
Theft from Vehicle+1%
2024-042026-03
Other Larceny+14%
2024-042026-03
Motor Vehicle Theft-18%
2024-042026-03
Vandalism-14%
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 11 next month — likely between 0 and 23.
21% vs 12-month average (≈14.3)

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 14 next month — likely between 5 and 23.
+5% vs 12-month average (≈13.2)

Other Larceny

APRIL 2026
Most likely 114 next month — likely between 87 and 136.
13% vs 12-month average (≈131.6)

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 17 next month — likely between 3 and 31.
2% vs 12-month average (≈17.4)

Vandalism

APRIL 2026
Most likely 34 next month — likely between 9 and 58.
23% vs 12-month average (≈44.1)
06 · Context & comps

How Brooklyn CD4 — Bushwick compares

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

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Brooklyn CD4 — Bushwick has spiked aggravated assault historically (9 events on record), an adjacent neighborhood spiked the same category within 3 months 0% of the time. The strongest-travelling categories sit at the top of the table.

Brooklyn CD4 — Bushwick historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Aggravated assault90%
Robbery80%
Sexual assault2— too few

Each row shows Brooklyn CD4 — Bushwick's historical spike events for that category, and how often any of its 5 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 Brooklyn CD4 — Bushwick, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

unclassifiedharassmentpetitsubdgrandunattendedbuildingmisdemeantrafficcontrolledsubstancepackageservicesunclassifiestoreinsideopenshoplcontemptpossessimotorcyclemenacingresidenceaggravatedareas
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
09581,91612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,4514,903MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,4652,930JanFebMarAprMayJunJulAugSepOctNovDec
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.