Cycling statistics at a glance
Cycling is often discussed as a fitness habit, a commuting option, or a weekend sport, but the 2022 injury figures show how much can happen in a single year on a bicycle.
Big number: an estimated 402,300 hospital emergency department visits were associated with bicycles or bicycle accessories in 2022 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Fast facts
- The 2022 estimate came from 10,088 NEISS cases (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Bicycle or accessory injuries had a coefficient of variation of 0.13 in the 2022 estimate (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- 71% of bicycle-related ED visits were classified as bicycle riding incidents, or 284,200 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- 25% were presumed riding incidents, or 99,500 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Non-riding bicycle incidents made up 4%, or 17,000 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Bicycle access or involvement was unknown for 1,600 visits, under 1% of the total (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Table of contents
- Cycling injury volume and incident mix
- Cycling statistics by age and gender
- Race and ethnicity patterns in cycling injury data
- Common cycling injuries and body regions
- What causes cycling injuries
- Helmet use and treatment outcomes
- Cycling vs car incidents
Cycling injury volume and incident mix
The first thing the data makes clear is scale. 402,300 estimated ED visits tied to bicycles or bicycle accessories is a large injury burden by any practical measure, and the split between incident types shows that most cases are related to riding rather than equipment alone (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
That split matters because it changes how you read the category. “Cycling statistics” are not just about bikes as objects; they are about the situations in which people ride them.
At a glance
| Incident type | Estimated ED visits | Share |
|---|---|---|
| Bicycle riding incidents | 284,200 | 71% |
| Presumed riding incidents | 99,500 | 25% |
| Non-riding bicycle incidents | 17,000 | 4% |
| Unknown bicycle access or involvement | 1,600 | Under 1% |
This table shows that 96% of the estimated visits were either bicycle riding incidents or presumed riding incidents, with only a small remainder falling into the non-riding or unknown buckets (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Why it matters
The distribution suggests that the day-to-day risk profile for cycling is shaped heavily by riding conditions, traffic interactions, terrain, balance, and crash dynamics rather than by isolated equipment issues alone. That theme shows up again in the injury and cause breakdowns later in the data.
Cycling statistics by age and gender
The age and gender splits give a more detailed picture of who appears in the 2022 bicycle-riding ED data and where the largest counts land.
Gender breakdown
- 75% of bicycle-riding ED patients were male, or 289,100 estimated visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- 25% were female, or 94,400 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Non-binary or other gender cases were reported at fewer than 1% of bicycle-riding ED visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
That is a strong skew. In plain terms, the 2022 bicycle-riding ED estimate was dominated by male patients, with roughly three out of every four visits in that category associated with men or boys (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Age breakdown
| Age group | Estimated bicycle-riding ED visits | Estimated visits per 100,000 population |
|---|---|---|
| Under 5 | 9,900 | Not provided |
| 5 to 17 | 106,700 | 195 |
| 18 to 44 | 120,400 | 101 |
| 45 to 64 | 94,200 | 114 |
| 65 and older | 52,600 | 91 |
The 18 to 44 age group had the largest estimated visit count at 120,400, but the 5 to 17 group had the highest injury rate at 195 per 100,000 population (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
That difference matters. Raw volume and rate tell different stories: volume reflects how many visits show up in the dataset, while rate shows how concentrated injury burden is within each age group.
Key takeaways on age
- Children ages 5 to 17 had the highest estimated injury rate at 195 per 100,000 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Adults ages 45 to 64 were next at 114 per 100,000 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Adults ages 18 to 44 followed at 101 per 100,000 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Adults ages 65 and older had 91 per 100,000 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Children under 5 accounted for 9,900 visits, which is much smaller than the school-age and adult groups (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
The pattern suggests two separate stories at once: younger riders produce the highest rate, while young adults produce the largest count. Those are not the same thing, and the data is clearer when you keep them separate.
Race and ethnicity patterns in cycling injury data
The CPSC report also compares the race and ethnicity profile of known bicycle-riding ED visits with the U.S. population.
| Group | Share of known bicycle-riding ED visits | Share of U.S. population |
|---|---|---|
| Black | 16% | 14% |
| Hispanic | 10% | 19% |
| Asian | 2% | 6% |
A few careful observations stand out here. Black patients accounted for 16% of known bicycle-riding ED visits, compared with 14% of the U.S. population (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024). Hispanic patients accounted for 10% of known visits, versus 19% of the population, and Asian patients accounted for 2% of known visits, versus 6% of the population (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
What the comparison shows
These are descriptive shares, not explanations. The dataset shows representation in the ED sample and the corresponding population benchmark, but it does not by itself explain why the shares differ. Still, the table is useful because it shows that the composition of known bicycle-riding visits does not match the general population in a one-to-one way.
Why it matters
When people search for cycling statistics, they often want the biggest injury numbers. But demographic patterns help define which groups may need the most tailored safety messaging, training, route design, or supervision focus. The data here is limited to the CPSC breakdown, but it is enough to show that the distribution is not uniform across groups (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Common cycling injuries and body regions
The injury body-region data shows that bicycle-riding ED visits are not concentrated in just one anatomical area.
| Body region | Estimated ED visits |
|---|---|
| Arm, hand, and shoulder | 142,800 |
| Leg and foot | 106,900 |
| Torso | 81,700 |
| Head | 75,600 |
| Face and ear | 63,000 |
The largest category was arm, hand, and shoulder injuries, with 142,800 estimated ED visits, and the report says that represented 37% of bicycle-riding ED visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
That is followed by leg and foot injuries at 106,900, torso injuries at 81,700, head injuries at 75,600, and face and ear injuries at 63,000 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Injury types
| Injury type | Estimated ED visits |
|---|---|
| Fractures | 119,300 |
| Contusions and abrasions | 113,400 |
| Lacerations | 67,300 |
| Internal organ injuries | 58,700 |
| Strains and sprains | 31,900 |
| Concussions | 11,400 |
The leading injury type was fractures, at 119,300 estimated ED visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024). Contusions and abrasions were close behind at 113,400, which shows that blunt-impact and break-type injuries both play major roles in the bicycle injury profile.
A closer reading of the injury mix
- The top two injury types, fractures and contusions/abrasions, were both above 110,000 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Lacerations were also substantial at 67,300 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Internal organ injuries reached 58,700 visits, which is notable because it is not a small tail category here (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Strains and sprains were lower at 31,900, and concussions were lower still at 11,400 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
The takeaway is not that one kind of injury dominates every case. It is that cycling injuries span a wide range of trauma types, from surface injuries to fractures and more serious internal injuries.
What causes cycling injuries
The hazard data helps explain the circumstances around bicycle-riding ED visits.
| Cause or circumstance | Estimated ED visits |
|---|---|
| Falls | 163,000 |
| Motor vehicle involvement | 79,900 |
| Crash/wreck/accident | 24,800 |
| Road hazards | 21,500 |
| Overexertion | 17,800 |
| Flip-over-handlebars incidents | 12,800 |
| Bicycle malfunction | 6,700 |
Falls were the most common cause listed, at 163,000 estimated bicycle-riding ED visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024). The report also says falls were 42% of bicycle-riding ED visits in the hazard table, while motor vehicle involvement was 21% (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Fast facts on causes
- Falls were the largest hazard category at 163,000 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Motor vehicle involvement accounted for 79,900 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Crash/wreck/accident contributed 24,800 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Road hazards were associated with 21,500 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Overexertion showed up in 17,800 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Flip-over-handlebars incidents made up 12,800 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Bicycle malfunction accounted for 6,700 visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Why it matters
The presence of both falls and vehicle involvement in the top two cause categories suggests that bicycle safety is not only a traffic issue. It is also a balance, control, surface, and maneuverability issue. The data shows a mix of self-contained riding incidents and roadway interactions rather than a single dominant failure mode.
Cycling vs car incidents
The dataset includes a more specific breakdown for bicycle vs car events within the motor vehicle category.
Bicycle vs car breakdown
| Factor | Estimated ED visits | Share |
|---|---|---|
| Driver error | 63,700 | 80% |
| Cyclist error | 7,200 | 9% |
| Hit a car door being opened | Not given as a count | 3% |
| Swerving or jumping to avoid a vehicle | 3,500 | 4% |
In this subset, driver error accounted for 63,700 of the 79,900 estimated bicycle vs car ED visits, or 80% (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024). Cyclist error accounted for 7,200, or 9% (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
The report also says bicycle riders hit a car door being opened in 3% of estimated bicycle vs car ED visits, and swerving or jumping to avoid a vehicle accounted for 3,500 estimated ED visits, or 4% (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
What to notice
- The bicycle vs car breakdown is heavily weighted toward the driver side of the interaction, based on the report’s figures (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Cyclist error appears, but it is much smaller than driver error in the reported subset (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Dooring and avoidance maneuvers are specific examples that help show how varied roadway conflicts can be (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
This section is useful because it separates a general motor-vehicle association from a more specific bicycle-car interaction pattern. That distinction keeps the statistics from being flattened into a single “traffic crash” bucket.
Helmet use and treatment outcomes
Helmet-related figures are often the first numbers people look for in cycling statistics, and this dataset includes a clear treatment-and-use breakdown.
Helmet use
- Helmet use was recorded as worn in 41,900 estimated bicycle-riding ED visits in 2022 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Helmet use was recorded as not worn in 41,500 estimated bicycle-riding ED visits in 2022 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- Helmet use was unknown or not mentioned in 300,400 estimated bicycle-riding ED visits in 2022 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- The CPSC report says 11% of bicycle-riding ED patients wore helmets in 2022 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- The CPSC report also says 11% did not wear helmets in 2022 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
The strongest fact here is not a dramatic divide between helmeted and unhelmeted cases. It is that the recorded helmet status is largely unknown or not mentioned, which limits how much you can infer from the distribution alone (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Treatment outcomes
| Outcome | Estimated ED visits |
|---|---|
| Treated and released | 315,500 |
| Treated and admitted for hospitalization | 45,100 |
| Left without being seen or left against medical advice | 14,100 |
| Treated and transferred to another hospital | 5,900 |
| Held for observation | 2,400 |
The most common outcome was treated and released, with 315,500 estimated bicycle-riding ED visits (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024). Hospital admission followed at 45,100, which is a much smaller but still important subset (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
What this says about severity
The treatment data shows that many cycling injuries are serious enough to reach the emergency department but still end in release rather than admission. At the same time, the presence of admissions, transfers, observation stays, and patients leaving without being seen shows a meaningful spread in severity and disposition (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
Notable fatality figure in the ED dataset
The report includes a small but important mortality count in the NEISS ED dataset.
- There were 16 fatalities reported in the NEISS ED dataset for bicycle-riding incidents in 2022 (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
- 12 of those 16 ED-reported bicycle-riding fatalities involved motor vehicle accidents (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
This is a narrow figure inside a much larger injury dataset, but it reinforces the same pattern seen elsewhere: the interaction between bicycles and motor vehicles remains a critical part of the bicycle injury picture.
How to read cycling statistics without overreading them
A useful way to interpret this dataset is to separate counts, rates, and context.
- Counts show where the biggest volume is.
- Rates show which groups are most concentrated.
- Context shows whether the event involved falls, vehicles, or other hazards.
The 2022 cycling injury data includes all three. The largest volume appears in young adult riders and male riders; the highest rate appears in ages 5 to 17; and the largest hazard categories are falls and motor vehicle involvement (CPSC Non-Powered Bicycle Injuries and Fatalities, 2024).
That combination is what makes the dataset useful. It does not just say cycling is risky or safe. It shows where the risk appears, which groups show up most often, and which injury patterns are most common in the emergency department data.