Case study

Las Vegas 2025 / 26

Driving Performance Analysis · Collisions Tripled While Braking Got Smoother - How Both Are True

Nexar team

Jun 9, 2026

10 minutes

Across 739,950 rides in two matched five-month windows, the Las Vegas collision rate rose +231% (139 → 460 per million) - yet hard braking improved 16% and harsh acceleration fell 71%. The spike is not city-wide: it concentrates in North Las Vegas and the first two months of 2026.

Executive Summary

▲Critical Context - Read First The +231% collision-rate increase is statistically ironclad (Z = 17.4, p < 0.001) - but it is not a city-wide collapse in safety. Two facts complicate the headline: hard braking improved 16%, and 66% of 2026 collisions came from North Las Vegas, which is only 15% of rides. Read the headline alone and you'll conclude Las Vegas got dramatically more dangerous everywhere. The decomposition says otherwise: a concentrated, front-loaded spike against a backdrop of improving driver behavior. Section 10 isolates where it actually happened.
The Paradox in One Line Collisions tripled while the strongest leading indicator of risky driving (hard braking) got smoother every single month. That contradiction is the whole study - and it resolves geographically (North Las Vegas) and temporally (Jan–Feb 2026), not behaviorally.

This study compares Nexar dashcam fleet data from the Las Vegas metropolitan area across two equivalent five-month periods: January–May 2025 and January–May 2026. It covers 739,950 rides totaling ~7 million miles, focused on incident prevalence and severity - collisions, hard braking, harsh acceleration, and cornering.

Headline Finding

Collision rates rose +231% (139 → 460 per million rides; Z = 17.4, p < 0.001). Yet hard braking - the strongest leading indicator of near-misses - improved 16%, and harsh acceleration dropped 71%. The collision spike concentrates in North Las Vegas, particularly January–February 2026.

Headline Metrics

Five Things to Know
1.
Collision rate surged 139 → 460/M (+231%, Danger Index 331).
2. Hard braking improved 16% - a genuine positive safety signal.
3. North Las Vegas drove the spike: 66% of 2026 collisions from 15% of rides.
4. Q1 was the danger window - January (DI 4,088) and February (DI 950) front-loaded the year.
5. Risk timing shifted: 2026's peak hour is 9 AM (1,445/M) vs near-zero there in 2025.

Study Context

Las Vegas is one of the most unique driving environments in the United States - a 24/7 city with high tourism traffic, the Las Vegas Strip, convention activity, and one of the country's highest pedestrian exposure rates. Year-over-year safety trends here are directly relevant to fleet operators, insurance underwriters, and road-safety stakeholders.

The Two Comparison Windows

Study Period · 2025

Baseline window

  • Date range: Jan 1 – May 31
  • Total rides: 409,620
  • Total miles: 3.85M
  • Collision events: 57
  • Hard brake events: 7,632

Comparison Period · 2026

Study window

  • Date range: Jan 1 – May 31
  • Total rides: 330,330
  • Total miles: 3.12M
  • Collision events: 152
  • Hard brake events: 5,191

Data Context · The −19.4% Volume Decline Ride counts declined 19.4% year-over-year. This reflects changes in Nexar fleet composition (onboarding / offboarding of specific fleet accounts) rather than an actual decline in Las Vegas road traffic. All incident metrics are reported per million rides to normalize for the volume difference — making the two periods directly comparable despite the different denominators.

Because the metrics are rate-normalized, the headline findings are not artifacts of the shrinking ride pool. A collision rate is collisions ÷ rides × 1,000,000 — independent of how many rides were observed, provided the sample is large enough to be stable (it is: hundreds of thousands of rides per window).

Methodology

Data Source

All data originates from the Nexar Dashcam Fleet — dashcam-equipped vehicles operating in Las Vegas, Nevada. Rides are filtered by starting-point city (Las Vegas, North Las Vegas, and adjacent Las Vegas-named areas) and state (Nevada).

Four Incident Types Tracked

  • Collision — detected impact events (primary metric)
  • Hard brake — sudden deceleration over threshold
  • Harsh acceleration — sudden acceleration over threshold
  • Cornering — sharp lateral movement events

Baseline Construction

  • 2025 Jan–May window = baseline
  • Identical calendar window both years
  • No day-of-week adjustment needed
  • Directly comparable periods

Rate Calculation

∑Formulas

Rate  =  (Total incidents ÷ Total rides) × 1,000,000
Danger Index  =  (2026 rate ÷ 2025 rate) × 100

All rates are expressed as incidents per million rides to normalize across periods with different ride volumes. A Danger Index of 100 equals baseline; above 100 = more dangerous; below 100 = safer than 2025.

Reading the Danger Index The Danger Index is the report's core comparator. The metro collision DI of 331 means 2026 was 3.3× as collision-prone per ride as 2025. Section levels carry their own DIs — North Las Vegas hits 496, January's month-level DI reaches 4,088. The index makes wildly different baselines legible on one scale.

Traffic Volume

Volume fell ~19% across rides, miles, and hours - but trip shape is unchanged. Miles-per-ride, hours-per-ride, and average speed are all within ~2% year-over-year, confirming the same fleet on similar routes.

Monthly Ride Volume · 2025 vs 2026

Stable Trip Profile Average miles per ride was nearly identical (9.39 vs 9.46), indicating the same fleet operated on similar routes. The volume decline is attributable to fleet composition change, not reduced driving activity in the region — which is exactly why per-million-ride normalization is the correct lens for every safety metric that follows.

Safety Overview · The Divergence

Four incident types, four different directions. Collisions exploded; every behavioral indicator improved or held flat. This split is the analytical core of the study.

Year-over-Year Change by Incident Type

Positive Signal · Hard Braking Improved Hard braking - the industry's strongest leading indicator of near-miss events and driving aggression — declined 16% in 2026. Underlying driver behavior in the fleet appears to have become smoother, which makes the collision spike more puzzling and points to specific concentrated events rather than a general decline in driving quality. The North Las Vegas analysis (Section 10) resolves the paradox.

Monthly Trends · The Q1 Anomaly

The +231% annual figure is front-loaded. January and February 2026 carry extreme Danger Indices; by March–May the rate converges toward (though stays above) 2025 levels.

Monthly Collision Rate · per Million Rides

▲ January–February 2026 · Extreme Anomaly January 2026 hit 500.79/M (DI = 4,088 vs Jan 2025's 12.25) and February reached 1,075.67/M (DI = 950). From March on, rates converged toward 2025 levels (DI 114–337). Meanwhile hard braking improved every single month — May 2026 showed the largest gain (13,787 vs 23,329/M, −41%). The collision spike and the braking improvement are genuinely independent signals.

Statistical Significance

Every headline metric clears conventional significance by a wide margin. The collision increase and the hard-brake improvement are both real - neither is a statistical artifact of the smaller 2026 ride pool.

Collision · Z = 17.4

Less than 0.001% chance of randomness

57 collisions in 2025, 152 in 2026 across hundreds of thousands of rides. The increase is real and not a statistical artifact of the smaller ride pool.

Hard Brake · Z = −38.2

One of the strongest positive signals

The hard-brake improvement is extremely significant. The magnitude (Z = 38) reflects the large sample size — this is a genuine, robust behavioral improvement.

✦ Two Robust, Opposite Signals This is the statistical heart of the paradox: both the collision increase (Z = 17.4) and the hard-brake improvement (Z = −38.2) are highly significant. They are not measurement noise pulling in different directions — they are two real, independently-confirmed phenomena. The reconciliation is structural, and it lives in the geography (Section 10) and the calendar (Section 06).

Hourly Patterns · The Risk Shifted to Mid-Morning

All times Pacific (Las Vegas local). The 2026 collision risk concentrates in a 9–11 AM window that was near-silent in 2025 - a notable shift from 2025's early-morning (3–4 AM) risk profile.

Collision Rate by Start Hour · per Million Rides

Day-of-Week Analysis · The Weekend Reversal

In 2025, weekends were the safest days. In 2026, they became the most dangerous - Saturday and Friday now top the collision-rate table. A clear behavioral or fleet-pattern shift.

▲ Weekend Collision Risk Surged Saturday 2026 had the highest collision rate of any day (661/M, DI = 645); Friday followed at 620/M (DI = 490). In 2025, weekends were the safest days (Saturday 102/M, Sunday 59/M). This reversal - weekends becoming the most dangerous in 2026 — is a significant pattern change and aligns with the North Las Vegas concentration.

Hard Braking Improved Every Day Across all seven days, hard braking fell in 2026 — Monday showed the most dramatic improvement (13,787 vs 21,886/M, −37%). The behavioral indicator improves uniformly even as collisions concentrate on weekends: more evidence the collision spike is event-driven, not a fleet-wide driving-quality decline.

Sub-City Analysis · North Las Vegas

This is where the paradox resolves. North Las Vegas - 15% of rides - produced 66% of all 2026 collisions, with a collision rate of 2,011/M against the core's 186/M.

66% Of 2026 Collisions from North Las Vegas

North Las Vegas produced 100 of 152 total 2026 collision events while representing only 15% of rides. Its collision rate went from 405/M in 2025 (already elevated) to 2,011/M in 2026 - a Danger Index of 496. The Las Vegas core's increase was far more modest (97 → 186/M, DI = 192).

February 2026 · 5,210/M in North Las Vegas North Las Vegas's January 2026 collision rate (2,385/M) was already higher than any month in 2025 for the entire metro. In February it reached 5,210/M - pointing to specific fleet vehicles operating in high-risk conditions during early winter 2026. This single sub-city, in a single quarter, accounts for the bulk of the metro's +231% headline. The spike is a concentrated event, not a city-wide trend.

Driver Type Analysis

Over 99% of Las Vegas Nexar rides fall in the Consumer/Unknown category - which therefore carries the entire collision-rate story. Truck and Taxi/Rideshare counts are too small to read individually.

▲ Small-n Warning · Truck & Taxi Truck (149 / 376 rides) and Taxi/Rideshare (211 / 195 rides) segments have very small ride counts in this market. Treat their individual rates as directional only. The truck collision-rate "drop" (20,134 → 2,660/M) is based on a handful of events and should not be over-interpreted.

The Consumer Segment Carries the Story

At 99%+ of rides, the Consumer/Unknown segment effectively is the Las Vegas fleet. Its collision rate (132 → 458/M, DI = 347) mirrors the metro total almost exactly. The +231% headline is a Consumer-segment phenomenon, concentrated geographically in North Las Vegas and temporally in Q1 2026.

Trip Characteristics & External Context

Trip length and duration were remarkably stable, confirming the same fleet on similar routes. Against external benchmarks, the collision spike is large but explainable; the braking improvement is validated.

Trip Characteristics

External Research Context

◆ Novel Study No equivalent dashcam-fleet time-series comparison for Las Vegas Jan–May exists in public literature - this is original fleet intelligence. The +231% increase is explained by geographic concentration (North Las Vegas) and front-loading in Q1 2026 - beyond typical YoY benchmarks, but not inconsistent with concentrated real-world events.

Key Findings

Six findings - the spike, where it lives, when it happened, and the improving behavioral backdrop.

1. The Spike

+231% Collision rate · DI 331

139 → 460/M (Z = 17.4, p < 0.001). Las Vegas collisions more than tripled relative to ride volume in 2026.

2. Where

66% North Las Vegas · 2,011/M, DI 496

NLV produced 66% of all 2026 collisions from only 15% of rides — the dominant driver of the metro headline.

3. When

Q1 Jan (DI 4,088) + Feb (DI 950)

January and February 2026 drove the annual total. March–May rates were elevated but far closer to 2025.

4. Braking

−16% Improved every month & day

Hard braking fell consistently in 2026 — a genuine improvement in fleet driving behavior, independent of the collision spike.

5. Weekend Flip

661/M Saturday now most dangerous

Weekends went from safest (2025) to most dangerous (2026): Saturday DI 645, Friday DI 490.

6. Acceleration

−71% Harsh acceleration collapsed

2,163 → 627/M. A dramatic behavioral improvement — though partly possibly a detection-model change (see Limitations).

Recommendations

Five actions, ranked by priority. R1 follows directly from the geographic concentration.

1. HIGHEST PRIORITY

Investigate North Las Vegas fleet accounts

Identify which specific fleet accounts or vehicles generated the 100 collision events in NLV during Jan–May 2026. The concentration (65.8% of collisions from 15% of rides) points to specific operators. Prioritize safety coaching and telematics review for these accounts.

2. SEASONAL MONITORING

Deploy real-time monitoring for Q1 risk windows

The January–February spike suggests seasonal or post-New-Year risk may be consistently elevated. Implement enhanced monitoring during these months in 2027.

3. TARGET RISK WINDOWS

Address weekend & mid-morning concentration

Saturday/Friday and 9–11 AM local time are the highest-risk segments in 2026. Fleet operators should consider targeted coaching for these specific windows.

4. REPLICATE THE WIN

Leverage hard-brake improvements as a model

The consistent −16% improvement in hard braking across all days and months suggests effective coaching or operational change. Document and replicate what drove this improvement across other markets.

5. ONGOING MARKET

Establish Las Vegas as a monitored market

With 330K–410K rides per 5-month window, Las Vegas provides statistically reliable data for continuous monitoring. Set quarterly alerts for collision rate exceeding 300/M.

Limitations

▲ About This Section Limitations are a first-class section. They define the scope within which the +231% headline should be interpreted - especially the detection-model and small-count caveats.

1. Fleet composition change

Ride volume declined 19.4% between periods. Some of the rate change may reflect which fleet accounts are active, not purely behavioral change. Per-million normalization handles volume, but not composition shifts.

2. North Las Vegas concentration

The NLV signal is driven by a small number of rides relative to the metro total. Individual fleet accounts may disproportionately influence the rate — the headline is sensitive to a handful of operators.

3. Incident detection model

Changes in Nexar's collision detection model between 2025 and 2026 could affect comparability. The dramatic harsh-acceleration drop (−71%) may partly reflect a model change rather than pure behavioral improvement.

4. Population bias

Nexar fleet data represents vehicles equipped with Nexar dashcams, not all Las Vegas traffic. Fleet-equipped vehicles may skew toward commercial and professional drivers.

5. Small absolute counts

57 (2025) and 152 (2026) collision events are relatively small absolute numbers, amplifying percentage changes. The statistical significance is genuine, but caution is warranted in extrapolation. External benchmarks were drawn from prior knowledge without real-time validation.

Appendix · Full Hourly Collision Data

Complete by-hour series (Pacific Time), both periods, for reproducibility. Mid-morning 2026 risk hours shaded amber.

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