🇺🇸 UNITED STATES: 9.8 per 1,000 · 3,300,000 deaths/yr🇨🇦 CANADA: 8.1 per 1,000 · 310,000 deaths/yr🇲🇽 MEXICO: 8.5 per 1,000 · 1,100,000 deaths/yr🇧🇷 BRAZIL: 7 per 1,000 · 1,500,000 deaths/yr🇦🇷 ARGENTINA: 7.8 per 1,000 · 360,000 deaths/yr🇵🇪 PERU: 6.4 per 1,000 · 210,000 deaths/yr🇨🇴 COLOMBIA: 6.5 per 1,000 · 340,000 deaths/yr🇻🇪 VENEZUELA: 6.6 per 1,000 · 185,000 deaths/yr🇭🇳 HONDURAS: 6.2 per 1,000 · 65,000 deaths/yr🇩🇴 DOMINICAN REPUBLIC: 6.2 per 1,000 · 68,000 deaths/yr🇧🇸 THE BAHAMAS: 6.8 per 1,000 · 2,800 deaths/yr🇨🇷 COSTA RICA: 5.4 per 1,000 · 28,000 deaths/yr🇨🇺 CUBA: 9.8 per 1,000 · 110,000 deaths/yr🇯🇲 JAMAICA: 7.1 per 1,000 · 20,000 deaths/yr🇭🇹 HAITI: 8.2 per 1,000 · 95,000 deaths/yr🇬🇧 UNITED KINGDOM: 9.3 per 1,000 · 620,000 deaths/yr🇫🇷 FRANCE: 9.7 per 1,000 · 660,000 deaths/yr🇩🇪 GERMANY: 12.1 per 1,000 · 1,020,000 deaths/yr🇮🇹 ITALY: 12 per 1,000 · 710,000 deaths/yr🇪🇸 SPAIN: 9.8 per 1,000 · 460,000 deaths/yr🇵🇹 PORTUGAL: 11.2 per 1,000 · 115,000 deaths/yr🇳🇱 NETHERLANDS: 9.6 per 1,000 · 170,000 deaths/yr🇸🇪 SWEDEN: 9.2 per 1,000 · 96,000 deaths/yr🇳🇴 NORWAY: 7.8 per 1,000 · 43,000 deaths/yr🇵🇱 POLAND: 11.6 per 1,000 · 440,000 deaths/yr🇷🇺 RUSSIA: 13.2 per 1,000 · 1,900,000 deaths/yr🇺🇦 UKRAINE: 16.8 per 1,000 · 620,000 deaths/yr🇫🇮 FINLAND: 10 per 1,000 · 56,000 deaths/yr🇬🇷 GREECE: 12.3 per 1,000 · 130,000 deaths/yr🇮🇪 IRELAND: 6.5 per 1,000 · 34,000 deaths/yr🇹🇷 TURKEY: 6 per 1,000 · 510,000 deaths/yr🇪🇬 EGYPT: 6.5 per 1,000 · 680,000 deaths/yr🇳🇬 NIGERIA: 8.2 per 1,000 · 1,800,000 deaths/yr🇰🇪 KENYA: 6.6 per 1,000 · 365,000 deaths/yr🇿🇦 SOUTH AFRICA: 8.3 per 1,000 · 500,000 deaths/yr🇪🇹 ETHIOPIA: 6.6 per 1,000 · 830,000 deaths/yr🇬🇭 GHANA: 5.6 per 1,000 · 185,000 deaths/yr🇹🇿 TANZANIA: 6.1 per 1,000 · 385,000 deaths/yr🇨🇩 DEMOCRATIC REPUBLIC OF CONGO: 9.7 per 1,000 · 970,000 deaths/yr🇲🇦 MOROCCO: 5.4 per 1,000 · 200,000 deaths/yr🇮🇳 INDIA: 7.1 per 1,000 · 10,200,000 deaths/yr🇨🇳 CHINA: 8.1 per 1,000 · 11,400,000 deaths/yr🇯🇵 JAPAN: 12.6 per 1,000 · 1,570,000 deaths/yr🇰🇷 SOUTH KOREA: 6.2 per 1,000 · 320,000 deaths/yr🇮🇩 INDONESIA: 6.3 per 1,000 · 1,730,000 deaths/yr🇹🇭 THAILAND: 6.8 per 1,000 · 490,000 deaths/yr🇻🇳 VIETNAM: 6.4 per 1,000 · 630,000 deaths/yr🇵🇭 PHILIPPINES: 5.6 per 1,000 · 640,000 deaths/yr🇲🇾 MALAYSIA: 5.6 per 1,000 · 185,000 deaths/yr🇸🇬 SINGAPORE: 4.3 per 1,000 · 25,000 deaths/yr🇵🇰 PAKISTAN: 6.5 per 1,000 · 1,500,000 deaths/yr🇧🇩 BANGLADESH: 5.2 per 1,000 · 880,000 deaths/yr🇸🇦 SAUDI ARABIA: 5 per 1,000 · 175,000 deaths/yr🇦🇪 UNITED ARAB EMIRATES: 3 per 1,000 · 30,000 deaths/yr🇮🇱 ISRAEL: 5.8 per 1,000 · 55,000 deaths/yr🇮🇷 IRAN: 5.5 per 1,000 · 480,000 deaths/yr🇮🇶 IRAQ: 4.9 per 1,000 · 205,000 deaths/yr🇸🇾 SYRIA: 9.5 per 1,000 · 200,000 deaths/yr🇦🇺 AUSTRALIA: 6.7 per 1,000 · 173,000 deaths/yr🇳🇿 NEW ZEALAND: 6.8 per 1,000 · 35,000 deaths/yr
🇺🇸 UNITED STATES: 9.8 per 1,000 · 3,300,000 deaths/yr🇨🇦 CANADA: 8.1 per 1,000 · 310,000 deaths/yr🇲🇽 MEXICO: 8.5 per 1,000 · 1,100,000 deaths/yr🇧🇷 BRAZIL: 7 per 1,000 · 1,500,000 deaths/yr🇦🇷 ARGENTINA: 7.8 per 1,000 · 360,000 deaths/yr🇵🇪 PERU: 6.4 per 1,000 · 210,000 deaths/yr🇨🇴 COLOMBIA: 6.5 per 1,000 · 340,000 deaths/yr🇻🇪 VENEZUELA: 6.6 per 1,000 · 185,000 deaths/yr🇭🇳 HONDURAS: 6.2 per 1,000 · 65,000 deaths/yr🇩🇴 DOMINICAN REPUBLIC: 6.2 per 1,000 · 68,000 deaths/yr🇧🇸 THE BAHAMAS: 6.8 per 1,000 · 2,800 deaths/yr🇨🇷 COSTA RICA: 5.4 per 1,000 · 28,000 deaths/yr🇨🇺 CUBA: 9.8 per 1,000 · 110,000 deaths/yr🇯🇲 JAMAICA: 7.1 per 1,000 · 20,000 deaths/yr🇭🇹 HAITI: 8.2 per 1,000 · 95,000 deaths/yr🇬🇧 UNITED KINGDOM: 9.3 per 1,000 · 620,000 deaths/yr🇫🇷 FRANCE: 9.7 per 1,000 · 660,000 deaths/yr🇩🇪 GERMANY: 12.1 per 1,000 · 1,020,000 deaths/yr🇮🇹 ITALY: 12 per 1,000 · 710,000 deaths/yr🇪🇸 SPAIN: 9.8 per 1,000 · 460,000 deaths/yr🇵🇹 PORTUGAL: 11.2 per 1,000 · 115,000 deaths/yr🇳🇱 NETHERLANDS: 9.6 per 1,000 · 170,000 deaths/yr🇸🇪 SWEDEN: 9.2 per 1,000 · 96,000 deaths/yr🇳🇴 NORWAY: 7.8 per 1,000 · 43,000 deaths/yr🇵🇱 POLAND: 11.6 per 1,000 · 440,000 deaths/yr🇷🇺 RUSSIA: 13.2 per 1,000 · 1,900,000 deaths/yr🇺🇦 UKRAINE: 16.8 per 1,000 · 620,000 deaths/yr🇫🇮 FINLAND: 10 per 1,000 · 56,000 deaths/yr🇬🇷 GREECE: 12.3 per 1,000 · 130,000 deaths/yr🇮🇪 IRELAND: 6.5 per 1,000 · 34,000 deaths/yr🇹🇷 TURKEY: 6 per 1,000 · 510,000 deaths/yr🇪🇬 EGYPT: 6.5 per 1,000 · 680,000 deaths/yr🇳🇬 NIGERIA: 8.2 per 1,000 · 1,800,000 deaths/yr🇰🇪 KENYA: 6.6 per 1,000 · 365,000 deaths/yr🇿🇦 SOUTH AFRICA: 8.3 per 1,000 · 500,000 deaths/yr🇪🇹 ETHIOPIA: 6.6 per 1,000 · 830,000 deaths/yr🇬🇭 GHANA: 5.6 per 1,000 · 185,000 deaths/yr🇹🇿 TANZANIA: 6.1 per 1,000 · 385,000 deaths/yr🇨🇩 DEMOCRATIC REPUBLIC OF CONGO: 9.7 per 1,000 · 970,000 deaths/yr🇲🇦 MOROCCO: 5.4 per 1,000 · 200,000 deaths/yr🇮🇳 INDIA: 7.1 per 1,000 · 10,200,000 deaths/yr🇨🇳 CHINA: 8.1 per 1,000 · 11,400,000 deaths/yr🇯🇵 JAPAN: 12.6 per 1,000 · 1,570,000 deaths/yr🇰🇷 SOUTH KOREA: 6.2 per 1,000 · 320,000 deaths/yr🇮🇩 INDONESIA: 6.3 per 1,000 · 1,730,000 deaths/yr🇹🇭 THAILAND: 6.8 per 1,000 · 490,000 deaths/yr🇻🇳 VIETNAM: 6.4 per 1,000 · 630,000 deaths/yr🇵🇭 PHILIPPINES: 5.6 per 1,000 · 640,000 deaths/yr🇲🇾 MALAYSIA: 5.6 per 1,000 · 185,000 deaths/yr🇸🇬 SINGAPORE: 4.3 per 1,000 · 25,000 deaths/yr🇵🇰 PAKISTAN: 6.5 per 1,000 · 1,500,000 deaths/yr🇧🇩 BANGLADESH: 5.2 per 1,000 · 880,000 deaths/yr🇸🇦 SAUDI ARABIA: 5 per 1,000 · 175,000 deaths/yr🇦🇪 UNITED ARAB EMIRATES: 3 per 1,000 · 30,000 deaths/yr🇮🇱 ISRAEL: 5.8 per 1,000 · 55,000 deaths/yr🇮🇷 IRAN: 5.5 per 1,000 · 480,000 deaths/yr🇮🇶 IRAQ: 4.9 per 1,000 · 205,000 deaths/yr🇸🇾 SYRIA: 9.5 per 1,000 · 200,000 deaths/yr🇦🇺 AUSTRALIA: 6.7 per 1,000 · 173,000 deaths/yr🇳🇿 NEW ZEALAND: 6.8 per 1,000 · 35,000 deaths/yr

Educational estimates only — see * for data sources

DEATHODOMETER

Global Mortality Intelligence

MEDICAL ERROR RISK

Preventable medical errors by country · deaths, infections & surgical never events

PREVENTABLE MEDICAL ERROR

Preventable medical error — including diagnostic error, medication harm, hospital-acquired infections and surgical mistakes — is estimated to be among the leading causes of death in several developed countries. A Johns Hopkins study (Makary & Daniel, 2016) estimated that medical errors cause roughly 250,000 deaths per year in the United States, ranking it the third leading cause of death.

The World Health Organization (WHO) Patient Safety programme reports that 1 in 10 patients is harmed while receiving hospital care in high-income countries, and that most of this harm is preventable. Figures vary widely because countries define, count and report medical harm differently — many do not publish national totals at all.

National estimates below are drawn from the most authoritative public source available per country; where a country does not publish a figure it is shown as "Data not publicly available".

CountryEst. Deaths/yrHAI RateNever EventsSource
🇺🇸United States
250,000 (2016)4.0%80Johns Hopkins (Makary & Daniel, 2016) / CMS
🇬🇧United Kingdom
30,000 (2018)6.4%38NHS England / DHSC
🇨🇦Canada
28,000 (2013)Data not publicly availableData not publicly availableCMPA / CIHI
🇦🇺Australia
18,000 (2018)5.5%22AIHW / ACSQHC
🇩🇪Germany
17,000 (2018)4.5%Data not publicly availableBfArM / RKI
🇫🇷France
13,000 (2019)5.0%Data not publicly availableDREES / HAS
🇳🇱Netherlands
1,735 (2019)3.3%14Dutch Patient Safety Campaign
🇯🇵Japan
Data not publicly availableData not publicly availableData not publicly availableData not publicly available
🇧🇷Brazil
Data not publicly available7.0%Data not publicly availableWHO Patient Safety / ANVISA

MEDICATION & CROSS-MEDICATION ERRORS

The WHO "Medication Without Harm" global patient safety challenge identifies medication errors — including cross-medication errors from look-alike/sound-alike drug names, wrong dosing, and prescribing errors — as a leading, largely preventable cause of patient harm worldwide.

~US$42 billion

Global annual cost of medication errors

WHO — Medication Without Harm

~50% preventable

Share of global harm from unsafe medication

WHO — Medication Without Harm

Look-alike / sound-alike drugs

Common cross-medication errors

WHO — Medication Without Harm

Educational estimates only — verify all figures against the cited primary source.

DEATHODOMETER © 2026 — Global Mortality Intelligence *Sources: WHO, Global Burden of Disease, Our World in Data