In 2022, around 11 people per 1 million inhabitants died as a result of road accidents in Chile. New Zealand, with around seven fatalities per 1 million inhabitants, was second in the ranking.

The number of road traffic fatalities per one million inhabitants in the United States was forecast to continuously increase between 2024 and 2029 by in total 18.5 deaths (+13.81 percent). After the tenth consecutive increasing year, the number is estimated to reach 152.46 deaths and therefore a new peak in 2029. Depicted here are the estimated number of deaths which occured in relation to road traffic. They are set in relation to the population size and depicted as deaths per 100,000 inhabitants.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of road traffic fatalities per one million inhabitants in countries like Mexico and Canada.

Malta had the lowest rate of road fatalities in the European Union in 2021. That year, 1,000 more people lost their lives on roads in the European Union, up by about five percent between 2020 and 2021.

The average for 2019 based on 12 countries was 19.05 deaths per 100,000 people. The highest value was in Venezuela: 39 deaths per 100,000 people and the lowest value was in Peru: 13.6 deaths per 100,000 people. The indicator is available from 2000 to 2019. Below is a chart for all countries where data are available.

Turkey TR: Road Fatalities: Per One Million Vehicle-km data was reported at 15.204 Ratio in 2022. This records a decrease from the previous number of 16.269 Ratio for 2021. Turkey TR: Road Fatalities: Per One Million Vehicle-km data is updated yearly, averaging 19.949 Ratio from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 29.999 Ratio in 2015 and a record low of 15.204 Ratio in 2022. Turkey TR: Road Fatalities: Per One Million Vehicle-km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Turkey – Table TR.OECD.ITF: Road Traffic and Road Accident Fatalities: OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made. ROAD TRAFFIC Road traffic is any movement of a road vehicle on a given road network. When a road vehicle is being carried on another vehicle, only the movement of the carrying (active mode) is considered. [COVERAGE] ROAD TRAFFIC Data come from odometer readings and include all motor vehicle movements on the territory, irrespective of the country of registration.

The number of road accidents per one million inhabitants in the United States was forecast to continuously decrease between 2024 and 2029 by in total 2,490.4 accidents (-14.99 percent). After the eighth consecutive decreasing year, the number is estimated to reach 14,118.78 accidents and therefore a new minimum in 2029. Depicted here are the estimated number of accidents which occured in relation to road traffic. They are set in relation to the population size and depicted as accidents per one million inhabitants.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of road accidents per one million inhabitants in countries like Mexico and Canada.

Albania Road Fatalities: Per One Million Inhabitants data was reported at 6.992 Ratio in 2023. This records an increase from the previous number of 5.904 Ratio for 2022. Albania Road Fatalities: Per One Million Inhabitants data is updated yearly, averaging 9.305 Ratio from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 13.125 Ratio in 1994 and a record low of 5.904 Ratio in 2022. Albania Road Fatalities: Per One Million Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Albania – Table AL.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made.

This database that can be used for macro-level analysis of road accidents on interurban roads in Europe. Through the variables it contains, road accidents can be explained using variables related to economic resources invested in roads, traffic, road network, socioeconomic characteristics, legislative measures and meteorology. This repository contains the data used for the analysis carried out in the papers:

1. Calvo-Poyo F., Navarro-Moreno J., de Oña J. (2020) Road Investment and Traffic Safety: An International Study. Sustainability 12:6332. https://doi.org/10.3390/su12166332

2. Navarro-Moreno J., Calvo-Poyo F., de Oña J. (2022) Influence of road investment and maintenance expenses on injured traffic crashes in European roads. Int J Sustain Transp 1–11. https://doi.org/10.1080/15568318.2022.2082344

3. Navarro-Moreno, J., Calvo-Poyo, F., de Oña, J. (2022) Investment in roads and traffic safety: linked to economic development? A European comparison. Environ. Sci. Pollut. Res. https://doi.org/10.1007/s11356-022-22567

The file with the database is available in excel.

DATA SOURCES

The database presents data from 1998 up to 2016 from 20 european countries: Austria, Belgium, Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Ireland, Italy, Latvia, Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden and United Kingdom. Crash data were obtained from the United Nations Economic Commission for Europe (UNECE) [2], which offers enough level of disaggregation between crashes occurring inside versus outside built-up areas.

With reference to the data on economic resources invested in roadways, deserving mention –given its extensive coverage—is the database of the Organisation for Economic Cooperation and Development (OECD), managed by the International Transport Forum (ITF) [1], which collects data on investment in the construction of roads and expenditure on their maintenance, following the definitions of the United Nations System of National Accounts (2008 SNA). Despite some data gaps, the time series present consistency from one country to the next. Moreover, to confirm the consistency and complete missing data, diverse additional sources, mainly the national Transport Ministries of the respective countries were consulted. All the monetary values were converted to constant prices in 2015 using the OECD price index.

To obtain the rest of the variables in the database, as well as to ensure consistency in the time series and complete missing data, the following national and international sources were consulted:

• Eurostat [3]
• Directorate-General for Mobility and Transport (DG MOVE). European Union [4]
• The World Bank [5]
• World Health Organization (WHO) [6]
• European Transport Safety Council (ETSC) [7]
• European Road Safety Observatory (ERSO) [8]
• European Climatic Energy Mixes (ECEM) of the Copernicus Climate Change [9]
• EU BestPoint-Project [10]
• Ministerstvo dopravy, República Checa [11]
• Bundesministerium für Verkehr und digitale Infrastruktur, Alemania [12]
• Ministerie van Infrastructuur en Waterstaat, Países Bajos [13]
• National Statistics Office, Malta [14]
• Ministério da Economia e Transição Digital, Portugal [15]
• Ministerio de Fomento, España [16]
• Trafikverket, Suecia [17]
• Ministère de l’environnement de l’énergie et de la mer, Francia [18]
• Ministero delle Infrastrutture e dei Trasporti, Italia [19–25]
• Statistisk sentralbyrå, Noruega [26-29]
• Instituto Nacional de Estatística, Portugal [30]
• Infraestruturas de Portugal S.A., Portugal [31–35]
• Road Safety Authority (RSA), Ireland [36]

DATA BASE DESCRIPTION

The database was made trying to combine the longest possible time period with the maximum number of countries with complete dataset (some countries like Lithuania, Luxemburg, Malta and Norway were eliminated from the definitive dataset owing to a lack of data or breaks in the time series of records). Taking into account the above, the definitive database is made up of 19 variables, and contains data from 20 countries during the period between 1998 and 2016. Table 1 shows the coding of the variables, as well as their definition and unit of measure.

Table. Database metadata

Code	Variable and unit
fatal_pc_km	Fatalities per billion passenger-km
fatal_mIn	Fatalities per million inhabitants
accid_adj_pc_km	Accidents per billion passenger-km
p_km	Billions of passenger-km
croad_inv_km	Investment in roads construction per kilometer, €/km (2015 constant prices)
croad_maint_km	Expenditure on roads maintenance per kilometer €/km (2015 constant prices)
prop_motorwa	Proportion of motorways over the total road network (%)
populat	Population, in millions of inhabitants
unemploy	Unemployment rate (%)
petro_car	Consumption of gasolina and petrol derivatives (tons), per tourism
alcohol	Alcohol consumption, in liters per capita (age > 15)
mot_index	Motorization index, in cars per 1,000 inhabitants
den_populat	Population density, inhabitants/km2
cgdp	Gross Domestic Product (GDP), in € (2015 constant prices)
cgdp_cap	GDP per capita, in € (2015 constant prices)
precipit	Average depth of rain water during a year (mm)
prop_elder	Proportion of people over 65 years (%)
dps	Demerit Point System, dummy variable (0: no; 1: yes)
freight	Freight transport, in billions of ton-km

ACKNOWLEDGEMENTS

This database was carried out in the framework of the project “Inversión en carreteras y seguridad vial: un análisis internacional (INCASE)”, financed by: FEDER/Ministerio de Ciencia, Innovación y Universidades–Agencia Estatal de Investigación/Proyecto RTI2018-101770-B-I00, within Spain´s National Program of R+D+i Oriented to Societal Challenges.

Moreover, the authors would like to express their gratitude to the Ministry of Transport, Mobility and Urban Agenda of Spain (MITMA), and the Federal Ministry of Transport and Digital Infrastructure of Germany (BMVI) for providing data for this study.

REFERENCES

1. International Transport Forum OECD iLibrary | Transport infrastructure investment and maintenance.

2. United Nations Economic Commission for Europe UNECE Statistical Database Available online: https://w3.unece.org/PXWeb2015/pxweb/en/STAT/STAT_40-TRTRANS/?rxid=18ad5d0d-bd5e-476f-ab7c-40545e802eeb (accessed on Apr 28, 2020).

3. European Commission Database - Eurostat Available online: https://ec.europa.eu/eurostat/data/database (accessed on Apr 28, 2021).

4. Directorate-General for Mobility and Transport. European Commission EU Transport in figures - Statistical Pocketbooks Available online: https://ec.europa.eu/transport/facts-fundings/statistics_en (accessed on Apr 28, 2021).

5. World Bank Group World Bank Open Data | Data Available online: https://data.worldbank.org/ (accessed on Apr 30, 2021).

6. World Health Organization (WHO) WHO Global Information System on Alcohol and Health Available online: https://apps.who.int/gho/data/node.main.GISAH?lang=en (accessed on Apr 29, 2021).

7. European Transport Safety Council (ETSC) Traffic Law Enforcement across the EU - Tackling the Three Main Killers on Europe’s Roads; Brussels, Belgium, 2011;

8. Copernicus Climate Change Service Climate data for the European energy sector from 1979 to 2016 derived from ERA-Interim Available online: https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-european-energy-sector?tab=overview (accessed on Apr 29, 2021).

9. Klipp, S.; Eichel, K.; Billard, A.; Chalika, E.; Loranc, M.D.; Farrugia, B.; Jost, G.; Møller, M.; Munnelly, M.; Kallberg, V.P.; et al. European Demerit Point Systems : Overview of their main features and expert opinions. EU BestPoint-Project 2011, 1–237.

10. Ministerstvo dopravy Serie: Ročenka dopravy; Ročenka dopravy; Centrum dopravního výzkumu: Prague, Czech Republic;

11. Bundesministerium

This statistic displays the number of road traffic fatalities in European countries per 100,000 inhabitants in 2017. According to the data, Norway had the lowest number of road fatalities in 2017 with only 2 fatalities per 100,000 inhabitants, while Serbia had the worst road safety with 8.2 road deaths per 100,000 inhabitants in 2017.

An overall decline in the number of road deaths in Russia was observed from 2007, when the highest volume of road fatalities was recorded countrywide in the given timeframe. The temporary growth of five percent between 2010 and 2012 was followed by a significant drop in the number of incidences over the following years. Namely, the count of road deaths in the country reduced nearly twofold by 2020 relative to the 2012 figures, measuring at 16,152 cases in the last observed period.

Mortality rate and causes of death in Russia   

Mortality rate has been gradually declining since 2000 in Russia, yet it remained greater than the rates measured prior to the 1990s. Even though road accidents were not the major cause of fatalities in the country, roughly 183 thousand residents were reported being injured in road traffic incidents in 2020. The coronavirus (COVID-19) outbreak at the beginning of 2020 ranked Russia as one of the most affected worldwide. The coronavirus-related mortality rate, nonetheless, was measured significantly lower than in most countries with a somewhat similar number of disease cases.

General outlook   

Despite the fact that road fatalities have been in decline in Russia, the country was listed second by road mortality worldwide after Georgia in 2017. The most significant decline in road death rates among the European countries was recorded in Norway in the same year.

Road Fatalities: Per One Million Vehicle-km data was reported at 799.631 Ratio in 2018. Road Fatalities: Per One Million Vehicle-km data is updated yearly, averaging 799.631 Ratio from Dec 2018 (Median) to 2018, with 1 observations. The data reached an all-time high of 799.631 Ratio in 2018 and a record low of 799.631 Ratio in 2018. Road Fatalities: Per One Million Vehicle-km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Russian Federation – Table RU.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Annual. ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made. ROAD TRAFFIC Road traffic is any movement of a road vehicle on a given road network. When a road vehicle is being carried on another vehicle, only the movement of the carrying (active mode) is considered.

In 2023, China recorded 60,028 fatalities in traffic accidents across the country. The number of fatalities has increased from 60,676in the previous year. Road traffic in China The number of road traffic fatalities in China varies greatly from region to region. Guangdong and Hubei had been the provinces with the highest number of traffic fatalities. All located in the eastern coastal area of China, they had also been the regions with the most traffic accidents in 2023. On the contrary, only a small number of fatalities had been reported in central and western regions of China. Reasons for this imbalance may be found in less traffic volume as well as the existence of fewer urban congested areas.Since 2016, the number of casualties and fatalities from traffic accidents in China has increased significantly, reaching 25,3895 injuries and 60,028 deaths in 2023. Nevertheless, traffic accidents have emerged as one of the leading causes of death in China. The primary reasons may be unregulated road works and a lack of awareness among Chinese drivers. The development of neither road infrastructure nor driving behavior in China had been able to keep up with the increasing number of traffic participants and registered cars. As of 2003, only 24 million vehicles had been registered in China, whereas by 2019 that number had skyrocketed to 253.76 million cars. In 2023 alone, the number of newly registered vehicles in China had amounted to around 24.5 million cars.

Road accidents have been a major cause for concern across the Indian subcontinent. In 2022 alone, the country reported nearly *** thousand fatalities due to road accidents. Each year, about ***** to **** percent of the country’s GDP was invested in road accidents. Notably, while India has about *** percent of the world’s vehicle population, it also accounted for about *** percent of the global road traffic incidents. Almost ** percent of the accidents involved young Indians. Cases and causesTwo-wheelers had the maximum involvement in fatal road accidents across the country in 2018. A major portion of the accidents that year occurred at T-junctions. Over speeding has been a cause for concern throughout the country regardless of day or nighttime. Moreover, fast and risky maneuvers and illegal street races on roads and highways not designed for the purpose created significant trouble for the police. Over ** percent of the accidents occurred on straight roads. Additionally, state highways had a share of about ** percent of the total road accidents in 2018. Future scenarioRoughly around 17 accident-related deaths occur across India every hour. Fewer cops and empty roads at night, and sometimes even during the day seem to enable motorists to do away with the traffic rules. However, efforts were made to reduce these discrepancies. The police had equipped themselves with night vision speed guns to identify the culprits. Over speeding fine was increased in the amendment of the Motor Vehicles Act as well. The road network has played a crucial role in India’s economic development and the government is likely to continue to invest resources in making road safety a vital component of everyday commute.

Montenegro ME: Road Fatalities: Per One Million Inhabitants data was reported at 10.123 Ratio in 2017. This records a decrease from the previous number of 10.445 Ratio for 2016. Montenegro ME: Road Fatalities: Per One Million Inhabitants data is updated yearly, averaging 11.912 Ratio from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 19.809 Ratio in 2007 and a record low of 7.412 Ratio in 2012. Montenegro ME: Road Fatalities: Per One Million Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Montenegro – Table ME.OECD.ITF: Road Traffic and Road Accident Fatalities: Non OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made.

Turkey TR: Road Fatalities: Per One Million Inhabitants data was reported at 7.674 Ratio in 2023. This records an increase from the previous number of 6.153 Ratio for 2022. Turkey TR: Road Fatalities: Per One Million Inhabitants data is updated yearly, averaging 6.642 Ratio from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 10.190 Ratio in 1994 and a record low of 4.566 Ratio in 2014. Turkey TR: Road Fatalities: Per One Million Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Turkey – Table TR.OECD.ITF: Road Traffic and Road Accident Fatalities: OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made.

PT: Road Fatalities: Per One Million Road Motor Vehicles data was reported at 0.735 Ratio in 2023. This records an increase from the previous number of 0.716 Ratio for 2022. PT: Road Fatalities: Per One Million Road Motor Vehicles data is updated yearly, averaging 0.831 Ratio from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 1.330 Ratio in 2010 and a record low of 0.645 Ratio in 2020. PT: Road Fatalities: Per One Million Road Motor Vehicles data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Portugal – Table PT.OECD.ITF: Road Traffic and Road Accident Fatalities: OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made. VEHICLES A road motor vehicle is a road vehicle fitted with an engine whence it derives its sole means of propulsion, which is normally used for carrying persons or goods or for drawing, on the road, vehicles used for the carriage of persons or goods. [COVERAGE] ROAD FATALITIES Until 2017, data do not include Acores and Madeira islands. [STAT_CONC_DEF] VEHICLES The stock of road motor vehicles is the number of road motor vehicles registered at a given date in a country and licenced to use roads open to public traffic. This includes road vehicles exempted from annual taxes or licence fee; it also includes imported second-hand vehicles and other road vehicles according to national practices. It should not include military vehicles.