SPIKE · OTHER LARCENYAPRIL 2026 BRIEFINGDENVER · 9.1K residents

Ruby Hill Crime Rate Trends — Denver

Ruby Hill is a southwest neighborhood between Federal Boulevard and the South Platte, organized around Ruby Hill Park. The park itself is one of Denver's most popular sledding hills in winter and a summer concert venue; the surrounding streets are mid-century single-family residential.

OTHER LARCENY · 24-MO COUNT04 2026 · 5
051012-mo avg: 5.5
RUBY HILLCITYWIDE TREND (RESCALED)+8% 12MO YOY
+25%MoM
+25%12mo YoY
66last 12mo
5this month
01 · TL;DR

Three categories moved in Ruby Hill this April — one spike, one single-month drop, and one sustained structural shift. The shape is mixed: other larceny pushed above trend at the same time motor vehicle theft continued a longer-term decline, pulling in opposite directions across property crime.

Other larceny is the sharpest signal, with 66 incidents in the current 12 months against a baseline mean of 50.44 — up 24.5% versus the prior year. Motor vehicle theft moved the other way on both timescales: a single-month below-trend signal and a sustained structural shift downward, with the 12-month total falling to 49 from 82 the year before, a 40.2% reduction. Robbery also fell, down 33.3% year-over-year (8 incidents vs. 12), though that category did not register a tracked signal this month.

1 spike1 drop1 sustained shift
02 · Notable signals

Notable signals 2

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 66 incidents — about 31% above the 50 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 49 incidents — about 58% below the 116 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
2024-052026-04
Robberybelow threshold
2024-052026-04
Aggravated Assault0%
2024-052026-04
Burglary-15%
2024-052026-04
Theft from Vehicle+8%
2024-052026-04
Other Larceny+25%
2024-052026-04
Motor Vehicle Theft-40%
2024-052026-04
Vandalism-1%
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

MAY 2026
Most likely 3 next month — likely between 0 and 7.
+2% vs 12-month average (≈2.9)

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

MAY 2026
Most likely 3 next month — likely between 0 and 8.
15% vs 12-month average (≈4.1)

Other Larceny

MAY 2026
Most likely 5 next month — likely between 1 and 8.
10% vs 12-month average (≈5.5)

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 4 next month — likely between 0 and 8.
22% vs 12-month average (≈4.8)

Vandalism

MAY 2026
Most likely 7 next month — likely between 3 and 10.
+16% vs 12-month average (≈5.8)
06 · Context & comps

How Ruby Hill compares

Peer neighborhoods picked by closest 12-month other larceny 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 other larceny levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

When Ruby Hill has spiked other larceny historically (7 events on record), an adjacent neighborhood spiked the same category within 3 months 100% of the time. The strongest-travelling categories sit at the top of the table.

Ruby Hill historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny7100%

Each row shows Ruby Hill's historical spike events for that category, and how often any of its 7 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 Denver); 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 Ruby Hill, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

drugforcesimplepartsorderitemsweaponresidenceinjurethreatsbldgmenacingweapfraudaggravatedsellbusinesscourtrestrainingdischargeunlawfulposscomputerharassmentpeace
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
08216412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0193386MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0122243JanFebMarAprMayJunJulAugSepOctNovDec
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.