ZERO EVENT · ARSONAPRIL 2026 BRIEFINGDENVER · 3.4K residents

Skyland Crime Rate Trends — Denver

Skyland is a small inner-ring neighborhood north of City Park and east of Five Points. Predominantly early-20th-century working-class residential with bungalows and modest two-story homes anchoring a tight grid east of York Street.

ARSON · 24-MO COUNT04 2026 · 0
01112-mo avg: 0.0
SKYLANDCITYWIDE TREND (RESCALED)+7% 12MO YOY
MoM
12mo YoY
0last 12mo
0this month
01 · TL;DR

April 2026 was a quiet month for Skyland — no tracked category crossed the anomaly threshold, and the two signals on record are zero-event markers, meaning two categories produced no incidents at all in the recent window. The broader shape is calm at the edges but shows a slow build in property crime over the trailing 12 months.

Burglary is up 25.0% against the prior year (15 incidents vs. 12), other larceny is up 30.0% (26 vs. 20), and motor vehicle theft is up 26.7% (19 vs. 15). Those are 12-month structural shifts, not single-month spikes — the pattern across property categories has been gradually widening. Aggravated assault ran the other direction, down 16.7% over the same window.

2 zero-events
02 · Notable signals

Notable signals 0

Nothing notable surfaced this month — every category sits within normal range against its baseline.

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
2024-052026-04
Robberybelow threshold
2024-052026-04
Aggravated Assaultbelow threshold
2024-052026-04
Burglary+25%
2024-052026-04
Theft from Vehicle+8%
2024-052026-04
Other Larceny+30%
2024-052026-04
Motor Vehicle Theft+27%
2024-052026-04
Vandalism+11%
2024-052026-04
Arsonbelow threshold
2024-052026-04
05 · Forecast

What next month likely looks like

Forecasts trained through April 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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

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

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Other Larceny

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

Robbery

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

MAY 2026
Most likely 1 next month — likely between 0 and 4.
40% vs 12-month average (≈2.3)

Vandalism

NO FORECAST

Below the volume threshold for a reliable forecast — too few incidents in recent months to project from.

06 · Context & comps

How Skyland compares

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

07 · Patterns

Recurring local terms (last 12 months)

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

itemsorderweaponforcedrugresidenceinjurerestrainingthreatsbldgdischargeunlawfulfraudsimpleharassmentpartsaggravatedcourttelephonetrespassingbicyclebusinesscheckscomputercrimes
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
0285612am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
076153MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
04183JanFebMarAprMayJunJulAugSepOctNovDec
08 · Methodology

How we built this page

Data → Anomalies → Forecast → Page

Incident data is pulled from Denver Open Data — DPD's NIBRS-coded crime offenses on ArcGIS Hub — mapped to 9 NIBRS-aligned categories (sexual assault is excluded because DPD redacts victim-bearing rows from the public feed). The feed publishes a 5-year rolling window so the analysis baseline starts at 2021-01. Aggregated to statistical 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.