SPIKE · OTHER LARCENYSEPTEMBER 2026 BRIEFINGDENVER · 0.7K residents

Auraria Crime Rate Trends — Denver

Auraria is the campus neighborhood at the western edge of downtown, on the wedge of land between the South Platte River and Cherry Creek where Denver was founded in 1858. Today the area is dominated by the shared Auraria Higher Education Center campus serving Metro State, CU Denver, and Community College of Denver.

OTHER LARCENY · 24-MO COUNT09 2026 · 7
0163112-mo avg: 10.6
AURARIACITYWIDE TREND (RESCALED)+5% 12MO YOY
-36%MoM
+26%12mo YoY
127last 12mo
7this month
01 · TL;DR

Two categories moved in Auraria this September, and the month's shape is narrow: one spike and one zero-event signal against an otherwise stable backdrop. Other larceny is the clear headline, and the rest of the tracked categories held within range.

Other larceny totaled 127 incidents over the trailing 12 months, up 25.7% from 101 in the prior year, and the current pace sits well above the multi-year baseline. Vandalism also rose sharply on a 12-month basis, 73 incidents against 53 the year before, a 37.7% increase, though it did not register as an anomaly signal this month. On the other side, motor vehicle theft fell 61.8% year-over-year, 13 incidents against 34, and theft from vehicle dropped 24.4%, from 90 to 68.

1 spike1 zero-event
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 127 incidents — about 50% above the 85 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
2024-102026-09
Robberybelow threshold
2024-102026-09
Aggravated Assaultbelow threshold
2024-102026-09
Burglarybelow threshold
2024-102026-09
Theft from Vehicle-24%
2024-102026-09
Other Larceny+26%
2024-102026-09
Motor Vehicle Theft-62%
2024-102026-09
Vandalism+38%
2024-102026-09
Arsonbelow threshold
2024-102026-09
05 · Forecast

What next month likely looks like

Forecasts trained through September 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

OCTOBER 2026
Most likely 19 next month — likely between 12 and 25.
+77% vs 12-month average (≈10.6)

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

OCTOBER 2026
Most likely 7 next month — likely between 0 and 15.
+24% vs 12-month average (≈5.7)

Vandalism

OCTOBER 2026
Most likely 4 next month — likely between 0 and 8.
−35% vs 12-month average (≈6.1)
06 · Context & comps

How Auraria 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?

Aurariadoesn'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.

Auraria 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 Auraria'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 Auraria, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

trespassingitemsbicyclepolicesimpleorderpeacebldgdrugcrimesinterferencepossweaponparaphernaliadisturbingharassmentfalseresistingaggravatedinformationgraffitiinjureliquorpartspossess
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
07014012am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0140279MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0105209JanFebMarAprMayJunJulAugSepOctNovDec
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.