SPIKE · OTHER LARCENYAPRIL 2026 BRIEFINGDENVER · 12.9K 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 COUNT04 2026 · 11
0132512-mo avg: 15.1
MAR LEECITYWIDE TREND (RESCALED)+8% 12MO YOY
+10%MoM
+277%12mo YoY
181last 12mo
11this month
01 · TL;DR

Four signals moved in Mar Lee this April — one spike, one drop, and two sustained shifts. The structural story is a split: other larceny has run well above its historical baseline across multiple months while motor vehicle theft continues a long decline, and those two trends are pulling the neighborhood's property crime picture in opposite directions.

Other larceny is the most prominent signal, with 181 incidents in the current 12-month window against a baseline of 65.34 — a 277.1% increase over the prior 12 months. Motor vehicle theft moved the other way, down 49.2% year-over-year (62 incidents vs. 122). Burglary and vandalism are also running below their prior-year levels — down 16.2% and 17.3% respectively — but neither crossed the anomaly threshold this month.

1 spike1 drop2 sustained shifts
02 · Notable signals

Notable signals 2

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 181 incidents — about 177% above the 65 average from prior years.

DROP · MOTOR VEHICLE THEFT

Motor Vehicle Theft

The past 12 months saw 62 incidents — about 51% below the 127 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
Robbery+18%
2024-052026-04
Aggravated Assault-10%
2024-052026-04
Burglary-16%
2024-052026-04
Theft from Vehicle-4%
2024-052026-04
Other Larceny+277%
2024-052026-04
Motor Vehicle Theft-49%
2024-052026-04
Vandalism-17%
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.
+28% vs 12-month average (≈2.6)

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 5 next month — likely between 0 and 11.
+3% vs 12-month average (≈5.2)

Other Larceny

MAY 2026
Most likely 11 next month — likely between 3 and 19.
25% vs 12-month average (≈15.1)

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 3 next month — likely between 0 and 9.
46% vs 12-month average (≈5.9)

Vandalism

MAY 2026
Most likely 7 next month — likely between 2 and 12.
+30% vs 12-month average (≈5.6)
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?

When Mar Lee has spiked other larceny historically (8 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.

Mar Lee historical spike-event spillover by crime category (3-month lookahead, adjacent neighborhoods via shared boundary).
CategorySpike eventsSame-category spillover
Other larceny8100%

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.

shopliftweaponitemsdrugordersimpledischargeunlawfulforcepartscourttrespassingpoliceresidenceaggravatedpossfraudinjuremenacingrestrainingthreatsweapparaphernaliafalsebusiness
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
08717412am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0207415MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0140281JanFebMarAprMayJunJulAugSepOctNovDec
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.