Orlando Deep Dive · 2025 / 26
A collision spike, a vanishing fleet, and the one segment that tells the truth - across 263,877 Orlando rides, 2025 vs 2026.
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A collision spike that isn't what it looks like.
This study compares Nexar fleet activity in Orlando, Florida between January-May 2025 and January-May 2026, an exact 12-month year-over-year window covering 263,877 rides, 2.97 million miles, and 143,450 hours of dashcam footage.
Orlando's collision rate rose +62.3% (464.6 → 754.2 /M; Z = 4.91, p < 0.001). The fleet simultaneously became 90.7% Taxi/Rideshare (up from 69.8%). But within that segment alone, 93,000+ rides each year, collisions doubled (+117.5%). The deterioration is real, not just compositional.
1. Collision rate +62.3% (DI 162), every safety metric deteriorated. 2. Fleet flipped to 90.7% Taxi/Rideshare as Consumer (−78.9%) and Truck (−77.1%) exited. 3. Within Taxi/Rideshare alone, collisions doubled (+117.5%, DI 218), the genuine signal. 4. Q2 2026 collision rate (939.7/M) nearly tripled Q2 2025 (DI 292). 5. Timing held: 5 PM peak and weekday dominance unchanged.
What this study measures.
Year-over-year changes in traffic volume, safety incident rates, trip characteristics, driver-type composition, and temporal patterns in the Orlando, Florida metro area.
| Scope | Detail |
|---|---|
| City | Orlando, FL (city core) · ride origin |
| Excluded | Kissimmee, Maitland, Winter Park |
| Baseline | Jan 1-May 31, 2025 |
| Study | Jan 1-May 31, 2026 |
| Grain | Monthly · 5 full months each |
The single most significant confound is the dramatic shift in fleet composition. Consumer and Truck vehicles largely exited the Nexar-monitored Orlando fleet between 2025 and 2026. Any rate-based metric is affected. Every finding in this report must be read through this lens.
Data source and metrics.
All data comes from the Nexar Dashcam Fleet, proprietary telemetry from dashcam-equipped vehicles operating in Orlando, aggregated at monthly grain and filtered to Orlando starting-point city.
Collision / Hard-Brake Rate = events ÷ rides × 1,000,000. Danger Index (DI) = (2026 rate ÷ 2025 rate) × 100. Z-Score = (p − p₀) ÷ √(p₀(1−p₀)/n). Significance: |Z| > 1.96 significant (p < 0.05); |Z| > 3.29 very highly significant (p < 0.001).
Volume fell −22.5%, but the fleet, not the city.
Total ride volume declined −22.5% (133,456 → 103,421). Miles fell −26.3%, hours −27.3%. This is driven by the exit of Consumer and Truck vehicles from the monitored fleet, not a real-world reduction in Orlando traffic.
| Metric | Jan-May 2025 | Jan-May 2026 | Change |
|---|---|---|---|
| Total rides | 133,456 | 103,421 | −22.5% |
| Total miles driven | 1,707,570 | 1,258,810 | −26.3% |
| Total drive hours | 83,040 | 60,410 | −27.3% |
| Miles per ride | 12.80 | 12.17 | −4.9% |
| Hours per ride | 0.622 | 0.584 | −6.1% |
Every metric worsened.
All four incident metrics deteriorated year-over-year when measured per million rides. Normalization by rides is essential, raw counts would be misleading given the −22.5% volume decline.
| Incident Type | 2025 /M | 2026 /M | % Change | DI |
|---|---|---|---|---|
| Collision | 464.6 | 754.2 | +62.3% | 162 |
| Harsh Acceleration | 1,042 | 1,886 | +81.1% | 181 |
| Sharp Cornering | 5,522 | 8,045 | +45.7% | 146 |
| Hard Brake | 21,018 | 25,275 | +20.3% | 120 |
The deterioration is accelerating.
Splitting the window into quarters reveals whether the deterioration is accelerating or stabilizing. It is accelerating, the Q2 2026 collision rate nearly tripled its 2025 baseline.
| Incident | Q1 2025 | Q1 2026 | Q1 Δ | Q2 2025 | Q2 2026 | Q2 Δ |
|---|---|---|---|---|---|---|
| Collision /M | 567.2 | 624.5 | +10.1% | 322.1 | 939.7 | +191.8% |
| Hard Brake /M | 19,361 | 20,394 | +5.3% | 23,317 | 22,855 | −2.0% |
Q2 2026 Collision Danger Index
The collision rate in April-May 2026 was 939.7 per million rides, nearly triple the Q2 2025 baseline of 322.1 (DI = 292, +191.8%). This Q2 spike is the primary driver of the overall YoY increase.
Q1 collisions rose a modest +10.1%; Q2 exploded +191.8%. The within-year acceleration means the 2026 deterioration is a developing trend, not a one-time step change.
Robust and reliable.
Both headline safety metrics clear the very-highly-significant threshold by a wide margin. Neither is an artifact of the smaller 2026 ride pool.
| Metric | 2025 Rate | 2026 Rate | Z-Score | P-Value | 95% CI (2026) |
|---|---|---|---|---|---|
| Collision /M | 464.6 | 754.2 | 4.91 | <0.001 | [638.6-869.8] |
| Hard Brake /M | 21,018 | 25,275 | 10.84 | <0.001 | - |
Same shape, lower volume.
Both years build from the morning commute, sustain through midday, and peak at the evening commute (5 PM local). The hourly profile is consistent year-over-year, the fleet change altered how safely Orlando drives, not when.
| Hour (Local ET) | 2025 Rides | 2026 Rides | YoY Change |
|---|---|---|---|
| 7 AM | 6,044 | 4,530 | −25.1% |
| 12 PM | 8,848 | 6,733 | −23.9% |
| 3 PM | 9,488 | 6,915 | −27.1% |
| 5 PM · Peak | 10,291 | 8,265 | −19.7% |
| 6 PM | 8,887 | 6,931 | −22.0% |
| 9 PM | 4,621 | 3,594 | −22.2% |
The weekday squeeze.
Weekdays remain dominant in both years, but 2026 weekday rides declined more steeply than weekends, narrowing the weekday/weekend gap. The pattern points straight back to the fleet shift.
| Day | 2025 Rides | 2026 Rides | Ride Change |
|---|---|---|---|
| Monday | 14,722 | 12,284 | −16.6% |
| Tuesday | 18,681 | 14,729 | −21.2% |
| Wednesday | 19,601 | 14,781 | −24.6% |
| Thursday | 20,958 | 15,135 | −27.8% |
| Friday | 20,930 | 15,581 | −25.5% |
| Saturday | 21,030 | 16,349 | −22.3% |
| Sunday | 17,534 | 14,562 | −16.9% |
Where the truth lives, the Taxi/Rideshare rate doubled.
Taxi/Rideshare is the only segment that held volume (+0.8%) while all others collapsed. It is both the dominant segment and the most deteriorated, Orlando's core 2026 safety concern.
| Driver Type | 2025 Rides | Share | 2026 Rides | Share | Ride Δ |
|---|---|---|---|---|---|
| Taxi/Rideshare | 93,106 | 69.8% | 93,853 | 90.7% | +0.8% |
| Consumer | 28,372 | 21.3% | 5,977 | 5.8% | −78.9% |
| Truck | 8,280 | 6.2% | 1,893 | 1.8% | −77.1% |
| Bus | 3,698 | 2.8% | 1,697 | 1.6% | −54.1% |
The Taxi/Rideshare segment's own collision rate rose from 333.0 to 724.5 per million rides (+117.5%, DI 218). With 93,000+ rides in both years, this is statistically reliable, not a small-sample artifact. This is Orlando's core safety concern for 2026, and the one finding that survives the composition caveat intact.
The fleet became 90.7% Taxi/Rideshare.
The most significant structural change in Orlando's Nexar fleet is the near-complete transition to Taxi/Rideshare dominance. Understanding this shift is essential for interpreting every other metric.
The headline +62.3% blends a composition effect (more rideshare, which has a higher base collision rate) with a real deterioration effect (rideshare itself getting worse). Even holding segment fixed, collisions doubled. Both are happening, and only the second is fixable through coaching.
Shorter and faster, on average.
Trip characteristics shifted toward shorter, faster trips in 2026, consistent with rideshare dominance. But the segment-level breakdown reveals divergent behavior beneath the fleet average.
| Driver Type | 2025 Mi/Ride | 2026 Mi/Ride | Δ |
|---|---|---|---|
| Taxi/Rideshare | 12.02 | 11.56 | −3.8% |
| Consumer | 9.74 | 10.71 | +9.9% |
| Truck | 34.27 | 51.07 | +49.0% |
| Bus | 7.65 | 7.75 | +1.3% |
| All Types | 12.80 | 12.17 | −4.9% |
A novel finding with no benchmark.
Where published benchmarks exist, the 2025 baselines validate cleanly and the 2026 changes are explainable by the fleet shift. One finding has no comparable benchmark at all.
The 90.7% Taxi/Rideshare dominance in Orlando's 2026 Nexar fleet has no published comparable benchmark. No other organization has this level of granular fleet-composition data at city level, making it a uniquely valuable external data asset.
The spike, the segment that owns it, and what held steady.
Six actions.
Monitor Taxi/Rideshare safety in Orlando closely
The collision rate within the Taxi/Rideshare segment doubled YoY. Determine whether this reflects driver behavior, route changes, or data-capture changes, and alert the relevant fleet managers or rideshare partners.
Investigate the Q2 2026 collision spike
The Apr-May 2026 collision rate (DI 292) is a 3× spike. Before any external presentation, validate whether it reflects a real incident increase or a detection/classification change.
Disclose fleet composition in external presentations
Any external showcase must state that the 2026 fleet is 90.7% Taxi/Rideshare. Presenting raw rate increases without this context risks misinterpretation as a city-wide road-safety claim.
Compute fleet-composition-adjusted rates
Standardize to a fixed fleet mix and recompute both years to isolate real safety change from composition change. The cleanest way to settle the "how much is real" question.
Expand to full Jan-Jul once July 2026 data lands
This study covers Jan-May; the original request was Jan-Jul. Revisit once June and July 2026 data is complete for a full YoY window and a firmer read on the Q2 trajectory.
Showcase the fleet-composition depth
The granular driver-type breakdown is genuinely novel, no public study shows Taxi/Rideshare vs Consumer collision rates at city level. A high-value external data asset.
What this study can and can't claim.
Partial 2026 period
Covers Jan-May 2026 (5 months), not the requested Jan-Jul. June-July 2026 data was not yet complete at analysis time.
Fleet composition confound
The dominant confound. All rate comparisons must be read through it, raw rates alone cannot claim Orlando is more dangerous without the composition qualifier.
Small 2026 samples
Consumer (n=5,977), Truck (n=1,893), Bus (n=1,697) carry high uncertainty in 2026. Treat their individual rates as directional only.
City-level geography
Orlando = city starting-point. Kissimmee, Maitland, Winter Park excluded unless rides start in Orlando. No street-level enrichment.
Detection model & benchmarks
Collision/hard-brake detection may differ between 2025 and 2026 model versions (not validated here). External benchmarks are curated estimates, not Orlando-specific studies.