DROP · VANDALISMMAY 2026 BRIEFINGNEW YORK · 113.0K residents

Manhattan CD9 — Morningside Heights / Hamilton Heights Crime Rate Trends — New York

CD9 covers Morningside Heights, Manhattanville, Hamilton Heights, and Sugar Hill. Anchored by Columbia University and its Manhattanville expansion, the City College of New York campus, Riverside Church, and Riverside and Morningside parks.

VANDALISM · 24-MO COUNT05 2026 · 0
0255112-mo avg: 24.8
MANHATTAN CD9 — MORNINGSIDE HEIGHTS / HAMILTON HEIGHTSCITYWIDE TREND (RESCALED)-26% 12MO YOY
MoM
-33%12mo YoY
297last 12mo
0this month
01 · TL;DR

Nine categories moved in Manhattan CD9 — Morningside Heights / Hamilton Heights this May, with four one-month below-trend signals and five sustained structural shifts. The shape is broadly and consistently downward across both violent and property crime, with no spikes and no rare events in the mix.

Vandalism leads the signal list: the trailing 12-month total is 297, down 32.5% from 440 the prior year and well below the multi-year baseline. Other larceny and robbery also registered below-trend signals — other larceny at 1,243 incidents against 1,751 prior-year, robbery at 119 against 195, a 39.0% year-over-year decline. The five sustained-shift signals indicate these aren't single quiet months; the downward movement across categories has been structural across the trailing two-year window.

4 drops5 sustained shifts
02 · Notable signals

Notable signals 4

DROP · VANDALISM

Vandalism

The past 12 months saw 297 incidents — about 57% below the 692 average from prior years.

DROP · OTHER LARCENY

Other Larceny

The past 12 months saw 1,243 incidents — about 28% below the 1737 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 119 incidents — about 49% below the 232 average from prior years.

DROP · BURGLARY

Burglary

The past 12 months saw 100 incidents — about 40% 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
2024-062026-05
Robbery-39%
2024-062026-05
Aggravated Assault-28%
2024-062026-05
Sexual Assault-18%
2024-062026-05
Burglary-30%
2024-062026-05
Theft from Vehicle-16%
2024-062026-05
Other Larceny-29%
2024-062026-05
Motor Vehicle Theft-27%
2024-062026-05
Vandalism-33%
2024-062026-05
Arsonbelow threshold
2024-062026-05
05 · Forecast

What next month likely looks like

Forecasts trained through May 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

JUNE 2026
Most likely 9 next month — likely between 0 and 18.
+9% vs 12-month average (≈8.3)

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

JUNE 2026
Most likely 13 next month — likely between 4 and 24.
+95% vs 12-month average (≈6.9)

Other Larceny

JUNE 2026
Most likely 141 next month — likely between 89 and 193.
+36% vs 12-month average (≈103.6)

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

JUNE 2026
Most likely 10 next month — likely between 0 and 28.
+25% vs 12-month average (≈8.1)

Vandalism

JUNE 2026
Most likely 27 next month — likely between 9 and 46.
+10% vs 12-month average (≈24.8)
06 · Context & comps

How Manhattan CD9 — Morningside Heights / Hamilton 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.”

07 · Patterns

Recurring local terms (last 12 months)

Top terms in incident descriptions for Manhattan CD9 — Morningside Heights / Hamilton Heights, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

harassmentsubdpetitunclassifiedgrandunattendedbuildingpackageinsideaggravatedopenareasciviliancontemptcontrolledsubstancemotorcycleresidencestoreshoplmisdemeantrafficaccessoriesvehicularservices
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
09811,96112am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,4114,822MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,4862,972JanFebMarAprMayJunJulAugSepOctNovDec
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.