DROP · MOTOR VEHICLE THEFTAPRIL 2026 BRIEFINGDENVER · 7.9K residents

Sloan Lake Crime Rate Trends — Denver

Sloan Lake is a northwest neighborhood organized around the namesake 177-acre lake, between West 17th and West 26th Avenues. The lakefront and Sloan's Lake Park anchor the residential grid; the south edge along West Colfax has seen significant townhouse-and-mid-rise redevelopment around the former St. Anthony Hospital site.

MOTOR VEHICLE THEFT · 24-MO COUNT04 2026 · 6
071412-mo avg: 3.8
SLOAN LAKECITYWIDE TREND (RESCALED)-34% 12MO YOY
+50%MoM
-39%12mo YoY
45last 12mo
6this month
01 · TL;DR

Three categories moved in Sloan Lake this April — two one-month below-trend signals (motor vehicle theft and vandalism) plus a sustained structural shift in motor vehicle theft that points to a longer-term change, not just a single quiet month.

Motor vehicle theft is the clearest story: the trailing 12-month total is 45, down 39.2% against the prior year's 74, well below a multi-year baseline of roughly 88.98 annual incidents — making this a structural move, not noise. Vandalism also ran below trend this month, with the 12-month total at 55 against 70 the prior year, a 21.4% drop. Everything else — burglary, other larceny, theft from vehicle — was also down year-over-year but within a range that didn't cross any threshold this month.

2 drops1 sustained shift
02 · Notable signals

Notable signals 2

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 45 incidents — about 49% below the 89 average from prior years.

DROP · VANDALISM

Vandalism

The past 12 months saw 55 incidents — about 26% below the 75 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 Assault+10%
2024-052026-04
Burglary-7%
2024-052026-04
Theft from Vehicle-14%
2024-052026-04
Other Larceny-16%
2024-052026-04
Motor Vehicle Theft-39%
2024-052026-04
Vandalism-21%
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 6 next month — likely between 2 and 11.
+19% vs 12-month average (≈5.4)

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 4 next month — likely between 0 and 7.
3% vs 12-month average (≈3.8)

Other Larceny

MAY 2026
Most likely 7 next month — likely between 1 and 12.
+4% vs 12-month average (≈6.6)

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 10 next month — likely between 3 and 17.
+36% vs 12-month average (≈7.4)

Vandalism

MAY 2026
Most likely 5 next month — likely between 1 and 10.
+14% vs 12-month average (≈4.6)
06 · Context & comps

How Sloan Lake compares

Peer neighborhoods picked by closest 12-month motor vehicle theft 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 motor vehicle theft levels.”

SPATIAL SPILLOVER · NEW

Do crime spikes here spill over to adjacent neighborhoods?

Sloan Lakedoesn't have enough spike history in any single category for a stable spillover rate yet (we want at least 5 events). The table below lists what we have.

Sloan Lake historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny2— too few
Burglary2— too few

Each row shows Sloan Lake'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 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 Sloan Lake, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

itemsforcepartsresidencebldgweapondrugsimplebusinessdischargeinjurethreatsunlawfulbicycleordertrespassingcourtaggravateddisturbingpeacegraffitimenacingpossessweapunauth
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
08416812am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0201403MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0122244JanFebMarAprMayJunJulAugSepOctNovDec
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.