SPIKE · OTHER LARCENYSEPTEMBER 2026 BRIEFINGDENVER · 5.5K residents

Jefferson Park Crime Rate Trends — Denver

Jefferson Park is a northwest neighborhood between Interstate 25 and Federal Boulevard, just across the South Platte from downtown. The namesake park anchors the residential grid; the southern edge along West 23rd Avenue has seen significant townhouse-and-condo redevelopment in recent years.

OTHER LARCENY · 24-MO COUNT09 2026 · 18
0132612-mo avg: 12.3
JEFFERSON PARKCITYWIDE TREND (RESCALED)+5% 12MO YOY
-22%MoM
+55%12mo YoY
147last 12mo
18this month
01 · TL;DR

September 2026 brought two signals in Jefferson Park, both concentrated in one category. Other larceny generated a one-month spike and a sustained structural shift, meaning the category is running above its multi-year pace and also registered an acute above-trend month on top of that longer move.

The 12-month other larceny total is 147 incidents, up 54.7% against the prior 12 months (95). Burglary and theft from vehicle also climbed year-over-year, 15.8% and 33.3% respectively, though neither crossed an anomaly threshold this month. Violent crime moved the other direction: robbery is down 36.4% over the trailing 12 months and aggravated assault is down 25.0%, both sitting well within normal range for the period.

1 spike1 sustained shift
02 · Notable signals

Notable signals 1

SPIKE · OTHER LARCENY

Other Larceny

The past 12 months saw 147 incidents — about 43% above the 103 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
Burglary+16%
2024-102026-09
Theft from Vehicle+33%
2024-102026-09
Other Larceny+55%
2024-102026-09
Motor Vehicle Theft-31%
2024-102026-09
Vandalism+2%
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

OCTOBER 2026
Most likely 4 next month — likely between 0 and 7.
−5% vs 12-month average (≈3.7)

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

OCTOBER 2026
Most likely 5 next month — likely between 0 and 10.
+19% vs 12-month average (≈4.1)

Other Larceny

OCTOBER 2026
Most likely 12 next month — likely between 6 and 17.
−5% vs 12-month average (≈12.3)

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

OCTOBER 2026
Most likely 6 next month — likely between 1 and 11.
−33% vs 12-month average (≈9.3)

Vandalism

OCTOBER 2026
Most likely 3 next month — likely between 0 and 7.
−18% vs 12-month average (≈4.3)
06 · Context & comps

How Jefferson Park 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?

Jefferson Parkdoesn'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.

Jefferson Park 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 Jefferson Park's historical spike events for that category, and how often any of its 6 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 Jefferson Park, excluding generic crime taxonomy. Useful as texture — what kinds of specifics show up here that don't show up elsewhere.

itemsbldgpartsforcebicycleresidencedrugweaponshopliftsimpletrespassingbusinessorderposscarryingpolicesellconcealedaggravateddangerousfalseharassmentillegalinjuremenacing
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
09118212am6am12pm6pm11pm

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

DAY OF WEEK · ALL CATEGORIES
0213426MonTueWedThuFriSatSun
MONTH OF YEAR · ALL CATEGORIES
0133265JanFebMarAprMayJunJulAugSepOctNovDec
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.