DROP · VANDALISMJULY 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 COUNT07 2026 · 0
0255112-mo avg: 28.3
MANHATTAN CD9 — MORNINGSIDE HEIGHTS / HAMILTON HEIGHTSCITYWIDE TREND (RESCALED)-18% 12MO YOY
-100%MoM
-20%12mo YoY
340last 12mo
0this month
01 · TL;DR

Four categories moved in Manhattan CD9 this July, three registering single-month below-trend signals and one showing a multi-month sustained shift. The overall shape is broadly downward, with no spikes and no rare events: every signal this month points in the same direction.

Vandalism is the strongest signal, with the trailing 12-month total at 340 incidents against 427 in the prior 12 months, a 20.4% reduction year-over-year. Robbery is also running well below its prior-year pace, 126 incidents against 192, down 34.4%. Other larceny rounds out the top three below-trend moves, off 21.8% to 1,361 incidents from 1,741 the year before. All other tracked categories remained within normal range this month.

3 drops1 sustained shift
02 · Notable signals

Notable signals 3

DROP · VANDALISM

Vandalism

The past 12 months saw 340 incidents — about 50% below the 685 average from prior years.

DROP · ROBBERY

Robbery

The past 12 months saw 126 incidents — about 45% below the 231 average from prior years.

DROP · OTHER LARCENY

Other Larceny

The past 12 months saw 1,361 incidents — about 22% below the 1737 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
2024-082026-07
Robbery-34%
2024-082026-07
Aggravated Assault-8%
2024-082026-07
Sexual Assault-25%
2024-082026-07
Burglary-6%
2024-082026-07
Theft from Vehicle-20%
2024-082026-07
Other Larceny-22%
2024-082026-07
Motor Vehicle Theft-21%
2024-082026-07
Vandalism-20%
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 9 next month — likely between 0 and 18.
16% vs 12-month average (≈10.7)

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 16 next month — likely between 7 and 25.
+87% vs 12-month average (≈8.4)

Other Larceny

AUGUST 2026
Most likely 133 next month — likely between 86 and 183.
+17% vs 12-month average (≈113.4)

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 15 next month — likely between 0 and 30.
+88% vs 12-month average (≈7.9)

Vandalism

AUGUST 2026
Most likely 40 next month — likely between 20 and 60.
+43% vs 12-month average (≈28.3)
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.

harassmentsubdpetitunclassifiedgrandbuildingunattendedpackageinsideopenaggravatedcontrolledsubstancecivilianareascontemptresidencestoremisdemeantrafficmotorcycleshoplpossessimenacingservices
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
01,0202,03912am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
02,4734,946MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
01,5113,022JanFebMarAprMayJunJulAugSepOctNovDec
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.