Maps & Trends

Mortality Analyses

Mortality in the most affected countries

For the twenty countries currently most affected by COVID-19 worldwide, the bars in the chart below show the number of deaths either per 100 confirmed cases (observed case-fatality ratio) or per 100,000 population (this represents a country’s general population, with both confirmed cases and healthy people). Countries at the top of this figure have the most deaths proportionally to their COVID-19 cases or population, not necessarily the most deaths overall.

Worldwide mortality

The diagonal lines on the chart below correspond to different case fatality ratios (the number of deaths divided by the number of confirmed cases). Countries falling on the uppermost lines have the highest observed case fatality ratios. Points with a black border correspond to the 20 most affected countries by COVID-19 worldwide, based on the number of deaths. Hover over the circles to see the country name and a ratio value. Use the boxes on the top to toggle between: 1) mortality per absolute number of cases (total confirmed cases within a country); and mortality per 100,000 people (this represents a country’s general population, with both confirmed cases and healthy people).

Cases and mortality by country

Country	Confirmed	Deaths	Case-Fatality	Deaths/100K pop.
Czechia	1,580,189	27,808	1.8%	261.71
San Marino	4,956	85	1.7%	251.59
Hungary	720,164	23,417	3.3%	239.71
Montenegro	94,269	1,373	1.5%	220.62
Bosnia and Herzegovina	181,927	7,298	4.0%	219.56
Belgium	925,476	23,473	2.5%	205.51
Bulgaria	371,993	14,418	3.9%	205.26
North Macedonia	141,844	4,228	3.0%	202.98
Slovenia	226,499	4,119	1.8%	199.24
Slovakia	371,062	10,565	2.8%	193.96
United Kingdom	4,384,610	127,331	2.9%	191.51
Italy	3,769,814	114,254	3.0%	189.06
United States	31,197,873	562,066	1.8%	171.80
Peru	1,647,694	54,903	3.3%	171.63
Brazil	13,482,023	353,137	2.6%	168.59
Mexico	2,280,213	209,338	9.2%	165.89
Portugal	827,494	16,916	2.0%	164.52
Spain	3,347,512	76,328	2.3%	163.36
Andorra	12,545	120	1.0%	155.83
Croatia	292,516	6,308	2.2%	154.25
Poland	2,574,631	58,421	2.3%	153.83
Moldova	241,217	5,388	2.2%	151.95
Liechtenstein	2,753	56	2.0%	147.72
France	5,119,585	98,909	1.9%	147.65
Panama	358,611	6,163	1.7%	147.55
Sweden	857,401	13,621	1.6%	133.76
Colombia	2,536,198	65,889	2.6%	132.71
Lithuania	226,173	3,687	1.6%	132.17
Chile	1,076,499	24,346	2.3%	129.99
Argentina	2,532,562	57,779	2.3%	129.86
Romania	1,006,167	25,135	2.5%	129.07
Armenia	202,817	3,735	1.8%	126.53
Luxembourg	63,467	763	1.2%	125.55
Switzerland	617,543	10,453	1.7%	122.74
Bolivia	282,095	12,451	4.4%	109.67
Austria	577,007	9,687	1.7%	109.49
Kosovo	95,886	1,968	2.1%	106.65
Georgia	288,396	3,877	1.3%	103.91
Latvia	107,608	1,986	1.8%	103.09
Ecuador	346,817	17,293	5.0%	101.22
Ireland	240,945	4,785	2.0%	98.59
Netherlands	1,374,451	16,959	1.2%	98.42
Lebanon	496,846	6,661	1.3%	97.26
Germany	3,012,158	78,500	2.6%	94.66
South Africa	1,558,458	53,322	3.4%	92.29
Ukraine	1,905,430	38,718	2.0%	86.77
Malta	29,614	402	1.4%	83.14
Belize	12,485	318	2.5%	83.01
Greece	295,480	8,885	3.0%	82.82
Serbia	642,208	5,735	0.9%	82.14
Albania	128,393	2,317	1.8%	80.83
Tunisia	271,861	9,293	3.4%	80.35
Monaco	2,375	31	1.3%	80.14
Iran	2,070,141	64,490	3.1%	78.84
Jordan	665,735	7,773	1.2%	78.07
Estonia	114,174	1,028	0.9%	77.83
Israel	835,933	6,296	0.8%	70.87
Russia	4,589,209	101,282	2.2%	70.10
Paraguay	235,292	4,827	2.1%	69.39
Canada	1,067,764	23,294	2.2%	62.86
West Bank and Gaza	268,132	2,860	1.1%	62.59
Costa Rica	222,544	3,018	1.4%	60.37
Eswatini	17,376	669	3.9%	58.88
Honduras	195,780	4,804	2.5%	50.11
Bahamas	9,364	189	2.0%	49.01
Uruguay	144,642	1,462	1.0%	42.39
Libya	167,825	2,823	1.7%	42.27
Denmark	238,484	2,442	1.0%	42.12
Turkey	3,849,011	33,939	0.9%	41.23
Guatemala	203,071	7,016	3.5%	40.68
Azerbaijan	285,993	3,915	1.4%	39.38
Iraq	924,946	14,713	1.6%	38.28
Oman	171,549	1,776	1.0%	36.77
Bahrain	156,462	557	0.4%	35.49
Saint Lucia	4,348	64	1.5%	35.19
Kuwait	247,094	1,407	0.6%	34.01
Cabo Verde	19,005	182	1.0%	33.47
Guyana	11,149	255	2.3%	32.73
El Salvador	66,489	2,051	3.1%	31.94
Dominican Republic	257,698	3,388	1.3%	31.88
Suriname	9,302	182	2.0%	31.60
Antigua and Barbuda	1,198	30	2.5%	31.16
Botswana	42,674	636	1.5%	28.21
Belarus	336,038	2,354	0.7%	24.82
Seychelles	4,430	24	0.5%	24.80
Morocco	502,102	8,900	1.8%	24.70
Kyrgyzstan	90,227	1,522	1.7%	24.10
Namibia	45,527	570	1.3%	23.28
Jamaica	42,500	672	1.6%	22.90
Cyprus	51,505	272	0.5%	22.87
Saudi Arabia	398,435	6,754	1.7%	20.04
Kazakhstan	323,207	3,267	1.0%	17.88
Comoros	3,789	146	3.9%	17.54
Sao Tome and Principe	2,266	35	1.5%	16.59
United Arab Emirates	483,747	1,531	0.3%	15.90
Indonesia	1,566,995	42,530	2.7%	15.89
Finland	82,053	868	1.1%	15.73
Barbados	3,730	44	1.2%	15.35
Lesotho	10,707	315	2.9%	14.94
Republic of the Congo	28,542	745	2.6%	14.21
Philippines	864,868	14,945	1.7%	14.01
Maldives	25,617	67	0.3%	12.99
Norway	103,621	684	0.7%	12.87
Egypt	210,489	12,445	5.9%	12.64
India	13,527,717	170,179	1.3%	12.58
Qatar	190,025	333	0.2%	11.97
Nepal	280,028	3,040	1.1%	10.82
Zimbabwe	37,288	1,538	4.1%	10.65
Trinidad and Tobago	8,404	146	1.7%	10.50
Mauritania	18,022	450	2.5%	10.22
Djibouti	9,876	96	1.0%	10.01
Saint Vincent and the Grenadines	1,792	10	0.6%	9.07
Iceland	6,258	29	0.5%	8.20
Syria	20,226	1,378	6.8%	8.15
Equatorial Guinea	7,219	106	1.5%	8.10
Algeria	118,516	3,130	2.6%	7.41
Japan	506,237	9,369	1.9%	7.40
Gambia	5,602	168	3.0%	7.37
Pakistan	725,602	15,501	2.1%	7.30
Zambia	90,029	1,226	1.4%	7.07
Senegal	39,431	1,078	2.7%	6.80
Afghanistan	57,160	2,521	4.4%	6.78
Malawi	33,827	1,128	3.3%	6.22
Venezuela	174,887	1,778	1.0%	6.16
Bangladesh	684,756	9,739	1.4%	6.04
Gabon	20,636	127	0.6%	5.99
Myanmar	142,576	3,206	2.2%	5.97
Sudan	31,833	2,063	6.5%	4.94
Kenya	145,670	2,348	1.6%	4.57
Malaysia	360,856	1,329	0.4%	4.22
Somalia	12,406	618	5.0%	4.12
Cuba	86,531	459	0.5%	4.05
Yemen	5,357	1,049	19.6%	3.68
Cameroon	61,731	919	1.5%	3.64
Australia	29,419	909	3.1%	3.64
Guinea-Bissau	3,680	66	1.8%	3.52
South Korea	110,146	1,770	1.6%	3.43
Ethiopia	228,996	3,174	1.4%	2.91
Nicaragua	6,727	179	2.7%	2.77
Sri Lanka	95,131	598	0.6%	2.76
Mozambique	68,758	791	1.2%	2.68
Rwanda	23,426	315	1.3%	2.56
Ghana	91,260	754	0.8%	2.53
Haiti	12,840	252	2.0%	2.27
Mali	11,844	408	3.4%	2.14
Uzbekistan	84,922	634	0.7%	1.92
Madagascar	28,063	500	1.8%	1.90
Angola	23,457	553	2.4%	1.79
Liberia	2,042	85	4.2%	1.76
Central African Republic	5,491	74	1.3%	1.59
Togo	12,006	116	1.0%	1.47
Guinea	20,949	134	0.6%	1.08
Chad	4,636	167	3.6%	1.08
Nigeria	163,799	2,060	1.3%	1.05
Côte d'Ivoire	45,206	263	0.6%	1.05
South Sudan	10,372	114	1.1%	1.04
Sierra Leone	4,005	79	2.0%	1.03
Tajikistan	13,308	90	0.7%	0.99
Mauritius	1,192	12	1.0%	0.95
Niger	5,074	189	3.7%	0.84
Benin	7,515	93	1.2%	0.81
Papua New Guinea	8,442	68	0.8%	0.79
Uganda	41,140	337	0.8%	0.79
Burkina Faso	12,956	152	1.2%	0.77
Brunei	219	3	1.4%	0.70
Mongolia	15,014	22	0.1%	0.69
New Zealand	2,583	26	1.0%	0.53
Singapore	60,653	30	0.0%	0.53
China	102,056	4,843	4.7%	0.35
Cambodia	4,515	30	0.7%	0.18
Democratic Republic of the Congo	10,084	137	1.4%	0.16
Thailand	32,625	97	0.3%	0.14
Burundi	3,154	6	0.2%	0.05
Taiwan	1,057	11	1.0%	0.05
Tanzania	509	21	4.1%	0.04
Vietnam	2,693	35	1.3%	0.04
Eritrea	3,447	10	0.3%	nan

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This page was last updated on Monday, April 12, 2021 at 06:01 AM EDT.

How does mortality differ across countries?

One of the most important ways to measure the burden of COVID-19 is mortality. Countries throughout the world have reported very different case fatality ratios – the number of deaths divided by the number of confirmed cases. Differences in mortality numbers can be caused by:

Differences in the number of people tested: With more testing, more people with milder cases are identified. This lowers the case-fatality ratio.
Demographics: For example, mortality tends to be higher in older populations.
Characteristics of the healthcare system: For example, mortality may rise as hospitals become overwhelmed and have fewer resources.
Other factors, many of which remain unknown.