How many people die on the roads in each country?

WHO's modelled estimates for 2023 give a median of 11.67 road deaths per 100,000 people across 183 countries, from 0.90 in Maldives to 53.98 in Dem. People's Republic of Korea; in the 46 countries with a usable death-register rate and a Eurostat or ITF rate for the same year from 2018 on, the register rate is the higher one in 17.

road traffic deaths per 100,000 people

010203040

Year varies by country (2010–2025) · grey: no figure

Latest figure for each country

How sure

Too small or not separate on this map: French Guiana, Guadeloupe, Martinique, Mayotte, Réunion. Each colour is one figure per country: one year, not an average, for the year shown in the ranking and when you point at a country.With "How sure" on, hatching marks countries whose latest figure has a trust score below 60 (Low or Very low).

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Road traffic deaths per 100,000 people. one year, not an average. Sort by any column.

Afghanistan	22.86	22.86	–	–	–	2023	52 Low
Albania	7.22	9.91	7.22	–	–	2025	69 Moderate
Algeria	16.01	16.01	–	–	–	2023	52 Low
Andorra	4.86	–	–	4.86	–	2020	57 Low
Angola	13.89	13.89	–	–	–	2023	52 Low
Anguilla	41.45	–	–	41.45	–	2021	60 Moderate
Antigua and Barbuda	5.41	6.96	–	5.41	–	2021	64 Moderate
Argentina	10.28	10.28	12.24	7.45	–	2023	58 Low
Armenia	12.84	13.28	12.84	9.24	–	2023	71 Moderate
Aruba	12.06	–	–	12.06	–	2022	60 Moderate
Australia	4.83	4.89	4.83	4.57	–	2024	86 High
Austria	3.8	4.51	(3.85)	3.48	3.8	2024	78 Moderate
Azerbaijan	6.63	14.81	6.63	0.99	–	2025	65 Moderate
Bahamas	18.3	18.3	–	8.76	–	2023	50 Low
Bahrain	7.96	7.96	–	5.93	–	2023	63 Moderate
Bangladesh	20.45	20.45	–	–	–	2023	52 Low
Barbados	9.83	9.83	–	5.04	–	2023	49 Low
Belarus	6.44	6.44	–	6.72	–	2023	78 Moderate
Belgium	4.6	4.75	(4.64)	3.95	4.6	2022	76 Moderate
Belize	22.1	14.76	–	22.1	–	2022	62 Moderate
Benin	27.68	27.68	–	–	–	2023	52 Low
Bermuda	21.66	–	–	21.66	–	2021	60 Moderate
Bhutan	19.11	19.11	–	–	–	2023	52 Low
Bolivia (Plurinational State of)	15.06	15.06	–	(0.4)	–	2023	52 Low
Bosnia and Herzegovina	6.92	12.24	6.92	(0.03)	–	2024	61 Moderate
Botswana	15.04	16.45	–	15.04	–	2021	76 Moderate
Brazil	16.14	15.42	–	16.14	–	2023	79 Moderate
British Virgin Islands	13.22	–	–	13.22	–	2021	60 Moderate
Brunei Darussalam	3.03	2.89	–	3.03	–	2024	82 High
Bulgaria	7.89	7.89	(7.73)	5.86	8.1	2023	73 Moderate
Burkina Faso	31.68	31.68	–	–	–	2023	52 Low
Burundi	15.89	15.89	–	–	–	2023	52 Low
Cabo Verde	15.37	15.37	–	0.39	–	2023	48 Low
Cambodia	13.32	13.32	–	–	–	2023	52 Low
Cameroon	5.27	5.27	–	–	–	2023	52 Low
Canada	5	5.31	5	4.43	–	2023	76 Moderate
Cayman Islands	10.4	–	–	10.4	–	2019	57 Low
Central African Republic	23.15	23.15	–	–	–	2023	52 Low
Chad	25.29	25.29	–	–	–	2023	52 Low
Chile	10.16	10.52	10.16	8.37	–	2023	78 Moderate
China	17.48	17.48	–	–	–	2023	52 Low
China, Hong Kong Special Administrative Region	1.21	–	–	1.21	–	2024	63 Moderate
Colombia	16.66	16.16	–	16.66	–	2023	80 High
Comoros	27.76	27.76	–	–	–	2023	52 Low
Congo	5.72	5.72	–	–	–	2023	52 Low
Cook Islands	21.09	–	–	21.09	–	2023	60 Moderate
Costa Rica	17.69	17.9	–	17.69	–	2023	81 High
Côte d'Ivoire	21.8	21.8	–	–	–	2023	52 Low
Croatia	7.19	7.19	(7.03)	7.31	7.1	2023	85 High
Cuba	7.75	4.11	–	7.75	–	2023	53 Low
Cyprus	3.65	3.65	–	4.35	3.6	2023	78 Moderate
Czechia	4.5	4.71	(4.6)	3.67	4.5	2024	76 Moderate
Dem. People's Republic of Korea	53.98	53.98	–	–	–	2023	52 Low
Democratic Republic of the Congo	17.57	17.57	–	–	–	2023	52 Low
Denmark	2.26	2.26	(2.22)	2.46	2.2	2021	83 High
Djibouti	22.84	22.84	–	–	–	2023	52 Low
Dominica	8.98	–	–	8.98	–	2022	60 Moderate
Dominican Republic	20.69	30	–	20.69	–	2022	55 Low
Ecuador	22.42	19.83	–	22.42	–	2024	78 Moderate
Egypt	7.92	7.92	–	6.5	–	2023	70 Moderate
El Salvador	20.12	20.12	–	14.13	–	2023	63 Moderate
Equatorial Guinea	11.67	11.67	–	–	–	2023	52 Low
Eritrea	14.38	14.38	–	–	–	2023	52 Low
Estonia	4.78	4.34	(5.07)	4.78	5	2024	86 High
Eswatini	23.36	23.36	–	–	–	2023	52 Low
Ethiopia	16.14	16.14	–	–	–	2023	52 Low
Fiji	4.69	4.69	–	12.14	–	2023	50 Low
Finland	3.2	3.55	(3.22)	3.06	3.2	2024	85 High
France	4.6	4.89	(4.77)	3.31	4.6	2023	66 Moderate
French Guiana	7.55	–	–	7.55	–	2022	60 Moderate
Gabon	11.39	11.39	–	–	–	2023	52 Low
Gambia	20.65	20.65	–	–	–	2023	52 Low
Georgia	11.66	11.84	11.66	11.14	–	2024	90 High
Germany	3.39	3.39	(3.32)	3.3	3.4	2022	85 High
Ghana	36.55	36.55	–	–	–	2023	52 Low
Greece	6.63	6.63	(6.28)	7.34	6.3	2022	81 High
Grenada	4.27	5.81	–	4.27	–	2023	60 Moderate
Guadeloupe	9.44	–	–	9.44	–	2022	60 Moderate
Guatemala	12.11	12.09	–	12.11	–	2023	81 High
Guinea	23.34	23.34	–	–	–	2023	52 Low
Guinea-Bissau	28.61	28.61	–	–	–	2023	52 Low
Guyana	16.65	16.65	–	11.76	–	2023	63 Moderate
Haiti	41.81	41.81	–	(0.17)	–	2023	52 Low
Honduras	18.07	18.07	–	(0.79)	–	2023	52 Low
Hungary	6.24	6.24	(5.14)	6.52	5.2	2023	78 Moderate
Iceland	2.31	2.31	(2.37)	2.16	2.4	2022	84 High
India	16.19	16.19	10.88	–	–	2023	65 Moderate
Indonesia	11.42	11.42	–	–	–	2023	52 Low
Iran (Islamic Republic of)	19.4	19.4	–	17.96	–	2023	76 Moderate
Iraq	20.4	20.4	–	4.72	–	2023	50 Low
Ireland	2.9	3.05	(2.97)	1.83	2.9	2022	65 Moderate
Israel	3.9	4	3.9	2.96	–	2023	71 Moderate
Italy	5.2	5.25	(5.11)	4.92	5.2	2023	87 High
Jamaica	0.99	17.72	–	0.99	–	2021	52 Low
Japan	2.67	2.7	2.62	2.67	–	2023	89 High
Jordan	3.13	13.73	–	3.13	–	2023	52 Low
Kazakhstan	10.25	13.27	10.25	9.75	–	2020	71 Moderate
Kenya	34.98	34.98	–	–	–	2023	52 Low
Kiribati	6.01	6.01	–	3.32	–	2023	51 Low
Kuwait	5.61	8.04	–	5.61	–	2024	59 Low
Kyrgyzstan	10.04	13.78	–	10.04	–	2023	59 Low
Lao People's Democratic Republic	11.42	11.42	–	–	–	2023	52 Low
Latvia	6	10.34	(5.93)	5.67	6	2024	60 Moderate
Lebanon	2.93	6.86	–	2.93	–	2023	52 Low
Lesotho	19.88	19.88	–	–	–	2023	52 Low
Liberia	15.92	15.92	–	–	–	2023	52 Low
Libya	33.34	33.34	–	(7.06)	–	2023	52 Low
Liechtenstein	7.4	–	(7.52)	–	7.4	2024	71 Moderate
Lithuania	4.3	5.95	(4.34)	4.09	4.3	2024	68 Moderate
Luxembourg	3.7	3.94	(3.75)	2.5	3.7	2021	63 Moderate
Madagascar	23.81	23.81	–	–	–	2023	52 Low
Malawi	21.66	21.66	–	–	–	2023	52 Low
Malaysia	10.36	10.36	–	9.36	–	2023	75 Moderate
Maldives	0.97	1.37	–	0.97	–	2021	57 Low
Mali	18.02	18.02	–	–	–	2023	52 Low
Malta	5.3	5.42	(5.3)	4.71	5.3	2022	82 High
Martinique	4.5	–	–	4.5	–	2022	60 Moderate
Mauritania	4.85	4.85	–	–	–	2023	52 Low
Mauritius	11.72	11.37	–	11.72	–	2024	83 High
Mayotte	1.64	–	–	1.64	–	2022	60 Moderate
Mexico	11.18	11.18	1.44	12.57	–	2023	57 Low
Micronesia (Federated States of)	29.98	29.98	–	(0)	–	2022	52 Low
Mongolia	14.1	11.67	–	14.1	–	2024	75 Moderate
Montenegro	12	12.62	10.16	2.57	12	2024	66 Moderate
Montserrat	0	–	–	0	–	2023	60 Moderate
Morocco	16.24	16.24	12.76	(3.09)	–	2023	67 Moderate
Mozambique	17.32	17.32	–	–	–	2023	52 Low
Myanmar	14.32	14.32	–	–	–	2023	52 Low
Namibia	17.68	17.68	–	–	–	2023	52 Low
Nepal	36.15	36.15	–	–	–	2023	52 Low
Netherlands (Kingdom of the)	3.7	3.63	3.7	3.87	3.1	2024	78 Moderate
New Zealand	5.16	8.1	5.16	6.48	–	2025	60 Moderate
Nicaragua	12.3	12.74	–	12.3	–	2022	79 Moderate
Niger	27.93	27.93	–	–	–	2023	52 Low
Nigeria	17.03	17.03	–	–	–	2023	52 Low
North Macedonia	7.19	7.19	7.79	1.48	–	2023	64 Moderate
Norway	1.67	2.04	(1.56)	1.67	1.6	2024	78 Moderate
Oman	2.41	6.84	–	2.41	–	2024	55 Low
Pakistan	11.26	11.26	–	–	–	2023	52 Low
Panama	7.96	4.95	–	7.96	–	2023	59 Low
Papua New Guinea	13.74	13.74	–	(0.13)	–	2023	52 Low
Paraguay	19.32	20.67	–	19.32	–	2022	77 Moderate
Peru	6.16	10.8	–	6.16	–	2022	52 Low
Philippines	8.34	8.34	–	11.9	–	2023	55 Low
Poland	5.52	7.18	(4.92)	5.52	5.2	2024	69 Moderate
Portugal	6.76	6.89	(5.93)	6.76	5.7	2022	76 Moderate
Puerto Rico	10.64	–	–	10.64	–	2023	60 Moderate
Qatar	4.96	7.27	–	4.96	–	2024	57 Low
Republic of Korea	5.86	5.86	4.93	5.89	–	2023	81 High
Republic of Moldova	7.99	7.99	6.46	8.42	–	2023	72 Moderate
Réunion	3.64	–	–	3.64	–	2022	68 Moderate
Romania	8.1	8.87	(8.08)	7.9	8.1	2023	80 High
Russian Federation	8.13	8.13	–	11.99	–	2023	51 Low
Rwanda	10.37	10.37	–	–	–	2023	52 Low
Saint Kitts and Nevis	12.85	–	–	12.85	–	2022	60 Moderate
Saint Lucia	10.55	10.55	–	14.03	–	2023	61 Moderate
Saint Pierre and Miquelon	0	–	–	0	–	2010	54 Low
Saint Vincent and the Grenadines	10.78	7.5	–	10.78	–	2022	63 Moderate
Samoa	9.89	9.89	–	–	–	2023	52 Low
San Marino	2.85	–	–	2.85	–	2023	60 Moderate
Sao Tome and Principe	10.27	10.27	–	–	–	2023	52 Low
Saudi Arabia	12.14	14.66	–	12.14	–	2024	73 Moderate
Senegal	22.35	22.35	–	–	–	2023	52 Low
Serbia	7.62	7.62	(7.63)	6.51	7.8	2023	84 High
Seychelles	6.44	6.44	–	6.04	–	2021	76 Moderate
Sierra Leone	19.24	19.24	–	–	–	2023	52 Low
Singapore	2.18	1.54	–	2.18	–	2022	64 Moderate
Slovakia	4.8	6.47	(4.76)	4.74	4.8	2024	72 Moderate
Slovenia	3.48	6.73	(3.21)	3.48	3.2	2024	60 Moderate
Solomon Islands	9.39	9.39	–	(0.15)	–	2023	52 Low
Somalia	15.1	15.1	–	–	–	2023	52 Low
South Africa	22.13	22.13	–	7.57	–	2023	50 Low
South Sudan	22.14	22.14	–	–	–	2023	52 Low
Spain	3.75	3.89	(3.73)	3.75	3.7	2024	87 High
Sri Lanka	12.64	12.64	–	12.08	–	2023	78 Moderate
Sudan	18.89	18.89	–	–	–	2023	52 Low
Suriname	15.65	15.65	–	11.82	–	2023	64 Moderate
Sweden	2.13	2.23	(2.01)	2.13	2	2024	88 High
Switzerland	2.7	2.75	(2.66)	2.32	2.7	2023	77 Moderate
Syrian Arab Republic	31.7	31.7	–	7.16	–	2023	48 Low
Tajikistan	3.38	12.46	–	3.38	–	2022	52 Low
Thailand	23.26	21.85	–	23.26	–	2023	78 Moderate
Timor-Leste	13.57	13.57	–	–	–	2023	52 Low
Togo	24.13	24.13	–	–	–	2023	52 Low
Tonga	9.03	9.03	–	–	–	2023	52 Low
Trinidad and Tobago	4.04	4.04	–	6.41	–	2023	50 Low
Tunisia	4.3	16.34	–	4.3	–	2021	52 Low
Türkiye	7.5	8.07	7.5	6.09	–	2023	71 Moderate
Turkmenistan	6.21	6.21	–	2.11	–	2023	48 Low
Turks and Caicos Islands	–	–	–	(6.63)	–	–	No usable source
Uganda	15.73	15.73	–	–	–	2023	52 Low
Ukraine	9.64	11.12	7.55	9.64	–	2019	63 Moderate
United Arab Emirates	3.45	5.06	–	3.45	–	2023	59 Low
United Kingdom	2.42	2.54	2.42	2.4	(2.8)	2024	91 High
United Republic of Tanzania	13.44	13.44	–	–	–	2023	52 Low
United States of America	13.07	18.38	11.93	13.07	–	2023	61 Moderate
United States Virgin Islands	8.17	–	–	8.17	–	2023	60 Moderate
Uruguay	12.07	11.55	–	12.07	–	2023	79 Moderate
Uzbekistan	6.06	8.94	6.06	5.51	–	2024	64 Moderate
Vanuatu	10.03	10.03	–	–	–	2023	52 Low
Venezuela (Bolivarian Republic of)	9.61	9.61	–	15.3	–	2023	50 Low
Viet Nam	12.94	12.94	–	–	–	2023	52 Low
Yemen	29.59	29.59	–	–	–	2023	52 Low
Zambia	16.35	16.35	–	–	–	2023	52 Low
Zimbabwe	29.48	29.48	–	–	–	2023	52 Low

Each source's value links to its publisher; point at it for the source and year. A value in brackets is shown but doesn't count, and pointing at it says why. Retrieved 2026-10-25, 2026-11-02.

About this data

Every source on this page (4)

Who is behind the sources

100% International body

Each publisher, its funding and its own description

World Health Organization (WHO) · International bodyFunding: Assessed contributions (membership dues) from member states, plus voluntary contributions from member states and other partners. sourceIn its own words: “…WHO is the United Nations agency that connects nations, partners and people to promote health…” source, retrieved 2026-10-27
OECD · International bodyFunding: Contributions from its member countries, set by a formula based on the size of each economy, plus voluntary contributions. sourceIn its own words: “Our core aim is to set international standards and support their implementation…” source, retrieved 2026-10-27
Eurostat · International bodyFunding: EU budget; Eurostat is a Directorate-General of the European Commission. The gender-based violence survey was run with the EU Agency for Fundamental Rights (FRA) and the European Institute for Gender Equality (EIGE), also EU-funded. sourceIn its own words: “Our mission is to provide high-quality statistics and data on Europe.” source, retrieved 2026-10-27

WHO Global Health Estimates 2023, road injuryWorld Health Organization (WHO) (international body) · Model-based estimateUsed for 183 countries; counts toward 183. Years 2021 to 2023. Retrieved 2026-11-02.Open the publisher's page
WHO Mortality Database, road traffic deathsWorld Health Organization (WHO) (international body) · Death and health registersUsed for 140 countries; counts toward 130. Years 2001 to 2024. Retrieved 2026-10-25.Not counted where: too few deaths were registered that year for its rate to count (each row says how many); a rate this close to zero in a population this big reflects how deaths are coded.Open the publisher's page
Eurostat, road traffic deaths (sdg_11_40)Eurostat (international body) · Administrative recordsUsed for 34 countries; counts toward 33. Years 2018 to 2024. Retrieved 2026-11-02.Not counted where: it republishes ITF.Open the publisher's page Data (API)
OECD/ITF, annual road fatalitiesOECD (international body) · Administrative recordsUsed for 56 countries; counts toward 26. Years 2000 to 2025. Retrieved 2026-11-02.Not counted where: it republishes Eurostat.Open the publisher's page Data (API)

Why the numbers differ (15)

The 30-day limit. WHO says its estimates follow ICD-10 and count all deaths in a calendar year that result from a road crash, whatever the time since the crash, unlike many official road traffic records, which use a 30-day definition. (source, retrieved 2026-11-02)
The definition Eurostat and ITF share: a person killed is anyone dying immediately or within 30 days as a result of an injury accident, excluding suicides. Countries that do not apply the 30-day limit get a conversion coefficient. (source, retrieved 2026-11-02)
Death certificates and road crash figures. WHO's register line counts cause-of-death codes sent by national statistics offices or health ministries. Eurostat and ITF count deaths in road crashes within 30 days. In the 46 countries with both for the same year from 2018 on, the register rate is the higher one in 17, and the median register rate is 0.96 times the Eurostat or ITF rate. (source, retrieved 2026-10-25)
The Netherlands. CBS builds its road death count from death certificates, files from public prosecutors and Rijkswaterstaat's crash register. ITF's count equals it in 30 of 30 years, so that line shares death certificates with the WHO register line. The values still differ, and both are counted, so they are not two fully independent sources. (source, retrieved 2026-11-02)
Eurostat says police-registered deaths in the Netherlands are under-reported, at around 84% of the national total: 566 in its CARE data against 675 published nationally in 2024. Across countries it says the data are compiled by police, ministries or statistical authorities, so only its Dutch line is typed as police records here. (source, retrieved 2026-11-02)
Where European crash data come from. The European Commission says national data sets enter its CARE database with their national structure and definitions, and that countries have their own registration systems, not always compatible with CARE. (source, retrieved 2026-11-02)
The Commission's common data structure for that database is also offered as a recommendation for national police road accident data collection reports. (source, retrieved 2026-11-02)
Under-reporting. WHO reports that across countries taking part in its road safety reports, its estimates average 1.7 to 1.8 times the deaths governments report. In a record-linkage study in Lusaka Province, Zambia, it reports police records as about 19% complete, hospital records 12% and vital statistics 14%. (source, retrieved 2026-11-02)
Modelling. WHO's estimate is not a count. Countries with death registration at least 80% complete use those data, and for countries without eligible registers WHO uses a negative binomial regression. (source, retrieved 2026-11-02)
WHO says road injury deaths in its estimates were adjusted upwards where needed to take account of surveillance data from countries, and that the time series were extrapolated to 2023 using available death registers and cause fractions from GBD 2023. (source, retrieved 2026-11-02)
Extrapolated years. Among the 62 countries with a usable WHO register rate for 2023, the estimate for 2023 is at least 25% above the register rate in 25, including the United States of America (18.38 against 13.07). (source, retrieved 2026-11-02)
One set of figures, two publishers. Eurostat and ITF counts match for 31 European countries, identically in 641 of 742 country-years, so one of the two is marked as a copy there and counts once. They differ in Netherlands (Kingdom of the) (566 against 675 in 2024), so both count there. (source, retrieved 2026-11-02)
Which codes count. The register line uses WHO's road injury list, which is finer on 4-character ICD-10 codes than on 3-character ones. Each line's definition gives the codes. Before ICD-10, the series use ICD-9 motor vehicle traffic accidents (E810-E819) and ICD-8 motor vehicle accidents (E810-E823). (source, retrieved 2026-11-02)
Condensed lists. 6 countries' latest files have only one item for all transport accidents (V01-V99), which also counts rail, water and air deaths, so those lines carry half weight. (source, retrieved 2026-10-25)
Population. Eurostat divides by the average of two 1 January populations and publishes one decimal. The WHO register line uses WHO's population file. The ITF line here uses UN population, so it can differ slightly from the rate ITF publishes. (source, retrieved 2026-11-02)

Common mistakes (2)

Comparing a rate per 100,000 people with a rate per billion vehicle-kilometres or per 10,000 road motor vehicles. ITF publishes all three, and each has a different base. (source, retrieved 2026-11-02)
Reading a WHO estimate as a count. For countries without eligible death registers it comes from a regression model. (source, retrieved 2026-11-02)

Context (6)

WHO fact sheet on road traffic injuries. Retrieved 2026-11-02.
WHO Global status report on road safety 2023, including its methods annex. Retrieved 2026-11-02.
WHO methods paper for the Global Health Estimates 2023, with the road injury code list. Retrieved 2026-11-02.
Eurostat reference metadata for road traffic deaths. Retrieved 2026-11-02.
Glossary for transport statistics, co-published by Eurostat, the UN and ITF, with the "person killed" definition. Retrieved 2026-11-02.
WHO rating of death registration completeness and usability by country. Retrieved 2026-10-25.

Sources considered and not used (8)

WHO GHO API, indicator RS_198 (estimated road traffic death rate): ghoapi.azureedge.net answered every request with HTTP 500 on 2 November 2026, so no RS_198 values were read. WHO's methods paper says its Global Health Estimates use the same report's estimates for 2000-2021, so the WHO estimate line takes that table instead. (source, retrieved 2026-11-02)
ITF website (Road Safety Annual Report and country profiles): itf-oecd.org answered scripted downloads with HTTP 403 on 2 November 2026, as did oecd.org's road accidents page. ITF's data and dataset description came from the OECD SDMX API, and nothing was read from these reports. (source, retrieved 2026-11-02)
OECD/ITF rates with no count (Cambodia, Morocco after 2000): ITF's indicator table gives a rate for these, but its fatalities table has no count for those years. The ITF line here is count divided by UN population, so they are left out. (source, retrieved 2026-11-02)
Eurostat tran_sf_roadus: It holds the same counts as sdg_11_40 and adds 1999, but only in whole persons per million, which rounds differently from sdg_11_40 in many years. The Eurostat line stays on one table. (source, retrieved 2026-11-02)
WHO Mortality Database, United Kingdom parts: Eurostat and ITF give only the United Kingdom total, so the page uses WHO's total too and not England and Wales, Scotland and Northern Ireland.
WHO Mortality Database, ICD-7 file: The ICD-7 file (morticd07.zip) ends in 1972, before the 1980 start of the series. (source, retrieved 2026-10-27)
WHO Mortality Database, Rodrigues and former entities: Rodrigues is part of Mauritius, and former entities such as the Netherlands Antilles are not current countries.
WHO Mortality Database, countries with no ICD-10 data: WHO's files hold ICD-9 or ICD-8 deaths for these countries but no year coded in ICD-10, so they have no WHO register line: Albania, Macau, Monaco, Myanmar, Sao Tome and Principe, Zimbabwe. (source, retrieved 2026-10-27)

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Cite as: RealStats, “How many people die on the roads in each country?”, updated 2026-11-02, with the original sources listed on the page. Scores use formula version 1.0.
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