Looking for the latest Ontario driving stats and trends? We've got you covered. We’ve curated, vetted, and categorized a list of most recent, up-to-date stats below. Each statistic on drivers and their behaviour is specific to Ontario except where stated otherwise. Need stats on other provinces? Check out these Canada driving statistics. (Note: where possible, we prefer to avoid relying on more recent but preliminary data that is subject to change for at least the following year.)
Here are some statistics on Ontario’s drivers and the vehicles they drive.
Offence |
Number of Convictions |
Percentage of Total |
Speeding |
337,697 |
60.4% |
Disobey legal sign |
22,532 |
4.0% |
Fail to stop at intersection |
19,775 |
3.5% |
No licence or improper class |
13,132 |
2.3% |
Fail to produce licence |
12,731 |
2.3% |
Drive without validated permit |
12,608 |
2.3% |
Careless driving |
8,578 |
1.5% |
Unsafe move |
8,449 |
1.5% |
Numbers on plate not visible |
7,282 |
1.3% |
Fail to surrender permit |
6,670 |
1.2% |
No number plate on vehicle |
6,280 |
1.1% |
Range Of Excess Speed |
Number of Speeders |
Percentage of Total Speeders |
1-15 km/h |
244,144 |
64.3% |
16-29 km/h |
87,182 |
23.0% |
30-49 km/h |
47,136 |
12.4% |
50+ km/h |
1,267 |
0.3% |
Total speeders |
379,729 |
100.0% |
The licence class with the highest percentage of speeders was M1; there were 573 speeding convictions (7.6%) out of 7,580 M1 holders. It is illegal for Class G1 holders (Level One learner drivers) to drive unsupervised. Nevertheless, there were 1,577 speeding convictions for G1 holders, making up 0.2% of all G1 holders. For Class G2 holders (Level Two learners), the number of speeding convictions jumped sharply to 24,273 (3.1% of all G2 holders). This suggests that thousands of learner drivers started engaging in bad driving as soon as supervision was withdrawn. (Ontario Ministry of Transportation, 2023b)
Offence |
Number of convictions |
Percentage of total |
Driving with BAC over 0.08% |
5,017 |
33.4% |
Impaired driving |
4,457 |
29.7% |
Dangerous driving |
1,411 |
9.4% |
Operation while prohibited |
1,385 |
9.2% |
Fail or refuse to provide breath or blood sample |
852 |
5.7% |
Fail to stop for police officer |
576 |
3.8% |
Fail to remain at accident, no bodily harm |
246 |
1.6% |
Impaired driving, causing bodily harm |
67 |
0.4% |
Dangerous driving, causing bodily harm |
65 |
0.4% |
Driving with more than 5 ng drugs in blood |
33 |
0.2% |
Fail to remain at accident, bodily harm |
30 |
0.2% |
Impaired driving, causing death |
16 |
0.1% |
From 2019 to 2021, the injury rate fell more sharply than expected as people drove less during the pandemic. In 2019–2021, fatalities per 100,000 population fell by 5.0% from 4.0 to 3.8, and injured persons per 100,000 population declined by 32.3% from 321.3 to 217.6. As a result, for the entire period 2012 to 2021, fatalities per 100,000 population fell by 64.8% from 10.8 to 3.8, and injured persons per 100,000 population declined by 75.9% from 901.4 to 217.6. See the following chart. (Ontario Ministry of Transportation, 2024a)
Factors (not mutually exclusive) |
Percentage |
Unlicensed motorcycle drivers |
10.5 |
Under 25 years old |
12.7 |
Ability impaired: BAC > 0.08% |
14.7 |
Had been drinking |
4.0 |
Helmet not worn |
5.2 |
Speed too fast/lost control |
50.6 |
Other motorcycle driver error |
20.3 |
Single-vehicle collision |
36.4 |
Day |
66.0 |
Night |
29.0 |
Weekend |
44.2 |
There was a significant downtrend in bicyclists injured (although 2021 saw an uptick as Ontario recovered from the worst of the COVID-19 pandemic). With the null hypothesis of no significant linear downtrend in bicyclists injured, the p-value for this regression would be 0.038, meaning that we can reject that hypothesis with 95% confidence. The slope of the linear trendline is −97.9, which represents an average of 97.9 fewer injured bicyclists with each passing year. (Ontario Ministry of Transportation, 2024a)
Category |
Fatalities |
Percentage of total fatalities |
Speed-related |
129 |
23% |
Pedestrians |
121 |
22% |
Large trucks |
107 |
19% |
Drinking and driving |
96 |
17% |
Drug-impaired |
86 |
15% |
Inattentive driving |
83 |
15% |
Motorcyclists |
76 |
14% |
Unbelted occupants |
67 |
12% |
Cyclists |
16 |
3% |
Senior drivers |
15 |
3% |
Young drivers |
9 |
2% |
Total |
354 |
100% |
Also, see the following chart.
For fatal collisions, the three most frequently identified driver conditions were inattentiveness (9.9% of fatal collisions), impairment by drugs (9.4%), and a BAC over 0.08% (7.0%). In the following chart, “unknown” refers to situations in which the enforcement officer could not determine whether any driver conditions were involved (such as in hit-and-run collisions). The available statistics would seem to indicate that driver fatigue was associated with only 1.5% of fatal crashes and 0.8% of personal injury crashes. However, these figures may well be underestimates, given the difficulty of objectively assessing or testing for fatigued driving (especially if the driver was killed in the crash). (Ontario Ministry of Transportation, 2024a)
The most frequently identified improper driver action in fatal collisions in 2021 was losing control of the vehicle (13.5% of fatal collisions). The second most frequent driver action was exceeding the speed limit (9.3%). For injury collisions, the most frequently identified action was failing to yield the right of way (10.8%). For property damage-only collisions, it was following too closely (tailgating) (8.8%). (The category “Other” includes such miscellaneous improper actions as driving on the wrong side of the road and improper or illegal parking.) (Ontario Ministry of Transportation, 2024a)
Category |
Fatalities |
% of Total Fatalities |
Speed related |
129 |
23% |
Pedestrians |
121 |
22% |
Large trucks |
107 |
19% |
Drinking and driving |
96 |
17% |
Drug impaired |
86 |
15% |
Inattentive driving |
83 |
15% |
Motorcyclists |
76 |
14% |
Unbelted occupants |
67 |
12% |
Cyclists |
16 |
3% |
Senior drivers |
15 |
3% |
Young drivers |
9 |
2% |
Chi-Square tests of independence yield a p-value < 0.0001 when comparing the injury outcomes for all three safety equipment options and a p-value < 0.0001 when comparing the injury outcomes for seatbelts vs. other safety equipment (chiefly airbags). This means that it is highly likely that the observed differences in injury outcomes are statistically significant in both cases. It also suggests that airbags are not a complete substitute for seatbelts. (Ontario Ministry of Transportation, 2024a)
Discover the most recent distracted driving statistics, including texting and driving.
A larger percentage of drivers aged 25 to 34 had consumed alcohol in each of these categories than drivers in any other age group. Drivers under 17 and those older than 74 were the least likely to consume alcohol. The correlation coefficients for all three pairs of distributions exceed 0.995, indicating that these three distributions are very well correlated with each other. Note: Even though it is illegal in Ontario for persons under 19 years of age to consume alcohol, a total of 89 drivers under 19 years of age did so before the collision. (Ontario Ministry of Transportation, 2024a)
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