SPIKE · OTHER LARCENYJUNE 2026 BRIEFINGDENVER · 13.1K residents

Mar Lee Crime Rate Trends — Denver

Mar Lee is a small southwest neighborhood between Federal Boulevard and Sheridan, just south of Mississippi Avenue. Predominantly mid-century single-family residential with Mar Lee Park as its namesake green space.

OTHER LARCENY · 24-MO COUNT06 2026 · 22
0132512-mo avg: 17.3
MAR LEECITYWIDE TREND (RESCALED)+7% 12MO YOY
+38%MoM
+300%12mo YoY
208last 12mo
22this month
01 · TL;DR

Three categories moved in Mar Lee in June 2026 — one spike, one drop, and one sustained shift — with the shape of the month defined almost entirely by an Other Larceny anomaly that shows up in two distinct forms: a single-month spike and a structural multi-month shift running in the same direction.

Other Larceny is the dominant signal. The trailing 12-month total reached 208 incidents against a baseline of 64.19, and against the prior 12-month period (52 incidents) that is a 300.0% increase — a structural move, not a single noisy month. Motor Vehicle Theft ran below trend this month, with the 12-month total at 71 against 86 the year before, down 17.4%. Every other tracked category — Aggravated Assault, Burglary, Theft from Vehicle, Vandalism, Robbery — moved within a range that didn't cross any threshold this period.

1 spike1 drop1 sustained shift
02 · Notable signals

Notable signals 2

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 208 incidents — about 224% above the 64 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 71 incidents — about 43% below the 124 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
2024-072026-06
Robbery+56%
2024-072026-06
Aggravated Assault-13%
2024-072026-06
Burglary0%
2024-072026-06
Theft from Vehicle-24%
2024-072026-06
Other Larceny+300%
2024-072026-06
Motor Vehicle Theft-17%
2024-072026-06
Vandalism-14%
2024-072026-06
Arsonbelow threshold
2024-072026-06
05 · Forecast

What next month likely looks like

Forecasts trained through June 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

JULY 2026
Most likely 2 next month — likely between 0 and 5.
17% vs 12-month average (≈2.8)

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

JULY 2026
Most likely 5 next month — likely between 0 and 11.
14% vs 12-month average (≈5.9)

Other Larceny

JULY 2026
Most likely 13 next month — likely between 5 and 22.
24% vs 12-month average (≈17.3)

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

JULY 2026
Most likely 5 next month — likely between 0 and 11.
6% vs 12-month average (≈5.3)

Vandalism

JULY 2026
Most likely 6 next month — likely between 1 and 11.
+1% vs 12-month average (≈5.8)
06 · Context & comps

How Mar Lee 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?

Mar Leedoesn'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.

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

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

shopliftweaponorderdischargeunlawfulitemsdrugsimpleforcecourttrespassingpartsresidenceinjurethreatsfraudpossaggravatedrestrainingparaphernaliapolicemenacingweappeacebusiness
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
08917712am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0212424MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0139277JanFebMarAprMayJunJulAugSepOctNovDec
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.