Top 30 Countries by Road Deaths per Billion Vehicle-Kilometers, 2025
Road fatality risk by distance travelled: 2025 country snapshot
Road deaths per billion vehicle-kilometers measures how many people are killed for every one billion kilometers driven by motor vehicles. It is more precise than deaths per population because it accounts for how much road traffic a country actually carries. A country with heavy car use can have many total deaths but a lower risk per kilometer, while a country with less traffic, weaker road design, unsafe speeds or high motorcycle exposure can show a much higher fatality risk.
This 2025 snapshot ranks 30 countries using the latest comparable fatality-risk figures available from international road-safety databases, national transport statistics and official road-safety profiles. Most values refer to 2022–2024 reporting years and are used as the best available exposure-based view for 2025. Values should be read as deaths per one billion vehicle-kilometers travelled, rounded to one decimal place.
Overview: what the indicator shows
The countries at the top are not simply the countries with the most road deaths. It is a list of countries where each kilometer driven is associated with more deaths. That distinction matters. Risk per kilometer is useful for comparing road systems, vehicle mix, enforcement quality, emergency response and the protective design of roads.
Mexico stands at the top among the countries in this comparison, driven by a high fatality count relative to reported traffic volume.
The Top 10 spans from Korea at about 8.1 deaths per billion vehicle-km to Mexico at about 28.7.
The median value in this 30-country comparison is close to 5.1 deaths per billion vehicle-km.
Not all countries measure vehicle-kilometers consistently. The ranking therefore compares countries where vehicle-kilometer data can be compared.
Interpretation rule: this is an exposure-risk ranking, not a total-death ranking and not a complete global league table. Countries without credible vehicle-kilometer data are excluded rather than estimated invisibly.
Top 10 countries with the highest road fatality risk per kilometer
The Top 10 mixes emerging-market road systems, car-dependent high-income countries and countries where vulnerable users remain heavily exposed. Mexico and Malaysia sit well above the rest of the group. The next cluster is tighter: Czechia, the United States, Korea, New Zealand, Belgium, Poland, Slovenia and Israel fall within a narrower band around 6–8 deaths per billion vehicle-kilometers. This shows that risk per kilometer can reveal safety gaps even among relatively high-income or highly motorized countries.
A high road-death level, large intercity road exposure and uneven enforcement keep the risk level far above most OECD comparators.
Motorcycle exposure is one of the main reasons fatality risk per kilometer is much higher than in car-dominant systems.
Risk remains elevated compared with the safest northern and western European systems despite continued long-term improvements.
Very high travel volume, road design built around speed and rising pedestrian and cyclist deaths keep risk per kilometer high.
Dense urban traffic, older road users and remaining conflicts with vulnerable users explain its position near the top.
Long rural corridors, speed management challenges and dispersed settlement patterns contribute to elevated fatality risk.
Dense traffic, urban exposure and remaining risks for pedestrians and cyclists keep the rate above safer European peers.
Intercity roads, speed compliance and mixed road-user exposure help explain Poland’s position in the upper group.
Transit traffic, motorway corridors and local road risks place Slovenia just below Poland in this distance-based comparison.
Urban traffic density, vulnerable road users and intercity travel keep the fatality-risk level above the safest countries in the table.
Short table: Top 10 by deaths per billion vehicle-km
| Rank | Country | Deaths per billion vehicle-km |
|---|---|---|
| 1 | Mexico | 28.7 |
| 2 | Malaysia | 16.2 |
| 3 | Czechia | 8.3 |
| 4 | United States | 8.2 |
| 5 | South Korea | 8.1 |
| 6 | New Zealand | 7.6 |
| 7 | Belgium | 7.3 |
| 8 | Poland | 7.1 |
| 9 | Slovenia | 7.0 |
| 10 | Israel | 5.9 |
Ranking table: road deaths per billion vehicle-kilometers
The table is sorted from the highest to the lowest fatality risk per distance driven. The full ranking is available in the page itself; the controls only change how rows are displayed.
| Rank | Country | Value | Data basis |
|---|---|---|---|
| 1 | Mexico | 28.7 | Comparable estimate from 2023 OECD/ITF-linked exposure data |
| 2 | Malaysia | 16.2 | Comparable estimate from latest national/ITF exposure data |
| 3 | Czechia | 8.3 | 2023 IRTAD / national data |
| 4 | United States | 8.2 | NHTSA/FHWA VMT conversion |
| 5 | South Korea | 8.1 | 2023 IRTAD / national data |
| 6 | New Zealand | 7.6 | Comparable estimate from latest national/ITF exposure data |
| 7 | Belgium | 7.3 | IRTAD / EU data |
| 8 | Poland | 7.1 | 2023 IRTAD / EU data |
| 9 | Slovenia | 7.0 | IRTAD / EU data |
| 10 | Israel | 5.9 | IRTAD / national data |
| 11 | France | 5.8 | IRTAD / national data |
| 12 | Austria | 5.6 | IRTAD / EU data |
| 13 | Finland | 5.4 | IRTAD / EU data |
| 14 | Australia | 5.2 | National VKT / fatality data |
| 15 | Canada | 5.1 | National VKT / fatality data |
| 16 | Netherlands | 4.9 | IRTAD / EU data |
| 17 | Germany | 4.8 | IRTAD / national data |
| 18 | Lithuania | 4.7 | EU/CARE comparable data |
| 19 | Portugal | 4.6 | EU/CARE comparable data |
| 20 | Spain | 4.5 | IRTAD / EU data |
| 21 | Italy | 4.4 | EU/CARE comparable data |
| 22 | Hungary | 4.3 | EU/CARE comparable data |
| 23 | Ireland | 3.8 | IRTAD / national data |
| 24 | Luxembourg | 3.7 | EU/CARE comparable data |
| 25 | Denmark | 3.5 | IRTAD / national data |
| 26 | Switzerland | 3.2 | IRTAD / national data |
| 27 | Norway | 3.0 | IRTAD / national data |
| 28 | Sweden | 2.8 | IRTAD / national data |
| 29 | Japan | 2.7 | Comparable estimate from national fatality and exposure data |
| 30 | Iceland | 2.0 | 2023 IRTAD / national data |
Source note: Values are rounded deaths per billion vehicle-kilometers, compiled from the latest available ITF/OECD IRTAD road-safety reports, national road-fatality and vehicle-travel statistics, WHO road-safety profiles and EU CARE/road-safety datasets. The snapshot is labelled 2025 because it uses the newest available comparable data; exact ranks may change when countries revise vehicle-kilometer estimates or fatality counts.
Charts: how concentrated the road fatality risk is
The bar chart makes the distribution visible: the first two countries are outliers, while most of the remaining countries are grouped between roughly 2 and 8 deaths per billion vehicle-kilometers. That pattern is common in distance-based road-safety comparisons, where the highest risks often reflect road design, speed, enforcement and vehicle-mix problems rather than just annual traffic volume.
- Mexico — 28.7
- Malaysia — 16.2
- Czechia — 8.3
- United States — 8.2
- South Korea — 8.1
- New Zealand — 7.6
- Belgium — 7.3
- Poland — 7.1
- Slovenia — 7.0
- Israel — 5.9
The fallback list keeps the leading values visible even when the chart does not render.
Methodology
The indicator is calculated as road traffic deaths divided by vehicle-kilometers travelled, multiplied by one billion. A value of 8.0 means that, on average, eight people were killed for every one billion vehicle-kilometers driven. The numerator is the standard road-safety fatality count, normally defined as a person dying immediately or within 30 days of a road crash. The denominator is traffic exposure, measured as aggregate vehicle distance travelled on the road network.
The ranking uses the latest available exposure-based risk figures suitable for a 2025 snapshot. For many IRTAD countries, the strongest comparable values are from 2023 or 2022, while some national datasets are newer or older depending on publication cycles. Where national statistics are reported in vehicle miles travelled, the value is converted to vehicle-kilometers using the standard conversion of one mile equal to 1.609344 kilometers. Values are rounded to one decimal place to avoid implying false precision across data systems.
The ranking is restricted to countries with vehicle-kilometer data that are reliable enough to compare. This is important because many countries report deaths and population, but do not report national vehicle-kilometers with enough consistency for exposure-risk ranking. Excluding those countries is more honest than filling the table with unexplained estimates. The result is a comparable-country ranking, not a complete global ranking of every national road system.
The biggest limitation is comparability. Vehicle-kilometer data can be collected from odometer readings, traffic counters, travel surveys, fuel models or administrative estimates. Motorcycle kilometers may be less completely captured than car or truck kilometers in some countries. Fatality reporting quality also varies, although the 30-day fatality definition improves comparability among IRTAD and many national systems. For policy use, this metric should be read together with deaths per population, deaths by road-user type, urban/rural crash patterns, speed compliance and trauma-care performance.
This ranking is not a judgment of individual driver skill and not a measure of whether one country is universally “safe” or “unsafe.” It is a distance-based fatality-risk comparison. It shows how many road deaths are associated with the measured amount of road travel, which makes it valuable for comparing safety performance after controlling for how much driving actually occurs.
Insights from the ranking
Upper tier
The highest values point to systems where exposure is especially dangerous for vulnerable users, where speed management remains weak, or where rural and intercity roads carry severe crash risk. Mexico and Malaysia are the clearest outliers in this snapshot, while the United States stands out among high-income countries because of its combination of high speeds, wide arterial roads and worsening pedestrian and cyclist safety.
Middle tier
Countries between roughly 4.5 and 7.5 deaths per billion vehicle-kilometers often have modern road networks but still face specific risk concentrations: rural roads, motorcycle exposure, older drivers, urban arterials or inconsistent enforcement. Improvements here usually come from speed reduction, safer junction design, median separation, roadside protection and better protection for pedestrians and cyclists.
Lower tier
The bottom of this table contains the safest exposure-adjusted performers in the comparison. Nordic countries, Switzerland, Japan and Iceland show how lower operating speeds, safer infrastructure, strict enforcement and strong emergency systems can keep fatality risk low even with high mobility.
Why ownership alone does not explain risk
The ranking confirms that vehicle ownership alone does not explain road danger. The same billion vehicle-kilometers can produce very different fatality outcomes depending on road design, vehicle fleet quality, motorcycle share, seat-belt and helmet compliance, enforcement credibility and post-crash care.
What this means for readers
For a real reader, deaths per billion vehicle-kilometers is useful because it separates road danger from road volume. A country with many cars may have many total deaths, but the risk per kilometer may still be moderate. Another country may have fewer vehicles but much higher danger per kilometer because roads, speeds, motorcycles, enforcement and emergency response create more severe outcomes.
For travelers, the ranking gives context for how cautious to be when driving, walking, cycling or riding motorcycles abroad. For policy readers, it helps identify whether the road system is converting mobility into avoidable deaths. For businesses operating fleets, the metric can guide country-level safety protocols, driver training, routing policies and expectations around night driving or rural roads.
The ranking should be used carefully. A national average hides city-level differences, motorway safety, rural-road risk and the danger faced by pedestrians or motorcyclists. It also does not say which road users are being killed. A low national average can still contain dangerous corridors, and a high national average can include cities or regions that are improving quickly.
FAQ
What does “road deaths per billion vehicle-kilometers” mean?
It means the number of people killed in road crashes for every one billion kilometers driven by vehicles. It is an exposure-based safety measure: higher values mean a higher fatality risk for the amount of road travel.
Why not rank countries by total road deaths?
Total deaths mostly reflect population size and traffic volume. A large country will usually have more deaths than a small country. Deaths per billion vehicle-kilometers adjusts for exposure and gives a clearer view of how dangerous each unit of road travel is.
Why are some countries missing from the ranking?
Many countries publish road deaths but do not publish reliable national vehicle-kilometer estimates. Without the denominator, the metric cannot be calculated honestly. This ranking therefore uses a 30-country comparable dataset rather than pretending to cover every country.
Does a high value mean drivers are worse?
No. The value reflects an entire road-safety system: road design, speed limits, enforcement, vehicle standards, motorcycle exposure, emergency response, pedestrian protection and reporting quality. Driver behavior matters, but it is only one part of the risk.
Why can high-income countries still rank poorly?
High income does not automatically produce safe roads. Road geometry, speed culture, vehicle size, suburban arterials, rural-road exposure and protection for people outside cars can keep fatality risk elevated even in wealthy countries.
Is the 2025 snapshot based only on 2025 deaths?
No. Road-safety datasets are released with a delay, and vehicle-kilometer data often lag behind fatality data. The 2025 snapshot uses the latest available comparable values, mostly from 2022–2024, to give the closest available 2025 view.
What policy actions usually reduce deaths per vehicle-kilometer?
The strongest measures include safer road design, speed management, median separation, protected crossings, helmet and seat-belt enforcement, alcohol and drug enforcement, safer vehicle standards and faster trauma care after crashes.
Sources
The ranking is based on official and institutional road-safety data sources. Because vehicle-kilometer reporting is not universal, the sources are used to identify countries where comparison by distance driven is reliable enough.
Core source for deaths, vehicle-kilometer risk and methodological context for IRTAD countries.
https://www.itf-oecd.org/road-safety-annual-report-2024Country-specific profiles used to cross-check national fatality counts, trends, strategies and exposure context.
https://www.itf-oecd.org/road-safety-country-profilesReference source for road-fatality definitions, country road-safety profiles and global road-safety comparability.
https://www.who.int/publications/i/item/9789240086517Used for European road-fatality context, country comparisons and validation of EU road-safety patterns.
https://transport.ec.europa.eu/transport-themes/road-safety_enUsed for U.S. traffic deaths and vehicle miles travelled, converted to vehicle-kilometers for international comparison.
https://www.nhtsa.gov/research-data/fatality-analysis-reporting-system-farsSource for U.S. vehicle travel exposure data used in the conversion of fatality risk to deaths per billion vehicle-kilometers.
https://www.fhwa.dot.gov/policyinformation/statistics.cfmLast reviewed for this 2025 snapshot: April 28, 2026. Values are rounded for analytical comparison across available sources; national statistical agencies remain the primary reference for official statistics.
