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.
Peru	3,349,298	206,891	6.2%	636.38
Bulgaria	993,255	33,728	3.4%	483.50
Bosnia and Herzegovina	354,325	14,672	4.1%	444.47
Hungary	1,616,846	41,741	2.6%	427.24
Montenegro	222,961	2,599	1.2%	417.75
North Macedonia	277,137	8,549	3.1%	410.33
Georgia	1,295,505	15,174	1.2%	407.86
Moldova	464,234	10,755	2.3%	404.68
Czechia	3,210,488	37,410	1.2%	350.62
Croatia	979,000	14,078	1.4%	346.11
Slovakia	1,686,936	17,938	1.1%	328.89
San Marino	13,328	109	0.8%	321.91
Romania	2,385,713	60,560	2.5%	312.87
Brazil	26,484,546	632,095	2.4%	299.50
Lithuania	740,137	7,969	1.1%	285.95
Slovenia	786,957	5,959	0.8%	285.40
Poland	5,129,080	106,578	2.1%	280.68
United States	76,458,144	902,266	1.2%	274.88
Armenia	387,490	8,081	2.1%	273.22
Argentina	8,577,215	122,584	1.4%	272.78
Colombia	5,956,350	135,518	2.3%	269.21
Latvia	442,871	4,945	1.1%	258.52
Belgium	3,296,038	29,227	0.9%	254.50
Paraguay	605,005	17,558	2.9%	249.24
Trinidad and Tobago	114,765	3,454	3.0%	247.60
Italy	11,542,793	148,542	1.3%	246.35
Ukraine	4,452,612	107,907	2.4%	243.12
Mexico	5,141,291	309,417	6.0%	242.54
United Kingdom	17,870,379	158,781	0.9%	237.57
Tunisia	940,223	26,612	2.8%	227.56
Russia	12,433,643	328,014	2.6%	227.20
Greece	2,036,869	23,999	1.2%	223.95
Suriname	75,402	1,279	1.7%	220.00
Chile	2,335,034	39,930	1.7%	210.69
Serbia	1,757,741	13,928	0.8%	200.55
Spain	10,199,716	94,040	0.9%	199.76
France	20,731,613	133,372	0.6%	198.88
Ecuador	732,038	34,533	4.7%	198.77
Portugal	2,884,540	20,171	0.7%	196.42
Liechtenstein	9,611	74	0.8%	194.64
Bahamas	32,715	749	2.3%	192.31
Uruguay	719,948	6,625	0.9%	191.38
Andorra	36,599	147	0.4%	190.56
Grenada	12,834	211	1.6%	188.39
Saint Lucia	21,513	341	1.6%	186.55
Panama	721,479	7,813	1.1%	183.99
Bolivia	871,749	21,129	2.4%	183.52
Kosovo	216,245	3,037	1.4%	169.26
South Africa	3,622,210	95,817	2.6%	163.63
Belize	53,544	629	1.2%	161.14
Austria	2,027,604	14,214	0.7%	160.12
Iran	6,543,837	132,745	2.0%	160.10
Namibia	156,301	3,977	2.5%	159.43
Seychelles	37,771	154	0.4%	157.75
Sweden	2,287,785	16,180	0.7%	157.31
Estonia	373,900	2,056	0.5%	154.98
Luxembourg	165,958	958	0.6%	154.54
Costa Rica	721,971	7,641	1.1%	151.38
Guyana	61,404	1,180	1.9%	150.75
Switzerland	2,364,613	12,782	0.5%	149.06
Germany	11,065,146	118,722	1.1%	142.81
Lebanon	965,627	9,694	1.0%	141.40
Jordan	1,314,243	13,300	1.0%	131.66
Antigua and Barbuda	6,732	127	1.9%	130.77
Netherlands	4,884,766	21,874	0.4%	126.20
Ireland	1,205,914	6,228	0.5%	126.04
Monaco	8,761	48	0.5%	123.19
Eswatini	68,551	1,377	2.0%	119.93
Albania	263,172	3,371	1.3%	118.11
Malta	68,842	565	0.8%	112.40
Botswana	256,041	2,585	1.0%	112.21
West Bank and Gaza	556,550	5,128	0.9%	109.45
Honduras	391,874	10,512	2.7%	107.86
Turkey	12,150,567	88,533	0.7%	106.12
Israel	3,142,811	9,138	0.3%	100.94
Kazakhstan	1,353,048	18,600	1.4%	100.46
Malaysia	2,904,131	32,025	1.1%	100.24
Barbados	47,777	286	0.6%	99.64
Guatemala	709,910	16,495	2.3%	99.34
Canada	3,117,218	34,635	1.1%	92.14
Jamaica	125,781	2,691	2.1%	91.27
Fiji	63,274	811	1.3%	91.13
St. Vincent and the Grenadines	8,035	99	1.2%	89.52
Libya	445,876	6,052	1.4%	89.30
Azerbaijan	691,180	8,846	1.3%	88.25
Bahrain	413,372	1,411	0.3%	85.98
Oman	346,041	4,158	1.2%	83.58
Cuba	1,052,220	8,431	0.8%	74.39
Cabo Verde	55,772	396	0.7%	72.01
Sri Lanka	617,189	15,572	2.5%	71.42
Dominica	9,722	51	0.5%	71.02
Saint Kitts and Nevis	5,475	37	0.7%	70.03
Denmark	2,000,463	3,889	0.2%	66.84
Mongolia	448,671	2,124	0.5%	65.86
Belarus	769,076	6,132	0.8%	64.77
Iraq	2,244,610	24,499	1.1%	62.32
Mauritius	70,862	786	1.1%	62.10
Cyprus	271,420	741	0.3%	61.82
El Salvador	135,109	3,933	2.9%	60.94
Kuwait	574,587	2,508	0.4%	59.61
Indonesia	4,480,423	144,497	3.2%	53.39
Maldives	148,580	281	0.2%	52.92
Philippines	3,601,471	54,214	1.5%	50.14
Kyrgyzstan	199,326	2,899	1.5%	44.90
Morocco	1,146,041	15,575	1.4%	42.70
Nepal	965,222	11,803	1.2%	41.26
Dominican Republic	561,657	4,322	0.8%	40.25
Vietnam	2,327,859	38,261	1.6%	39.66
Finland	514,892	2,058	0.4%	37.28
India	42,188,138	501,979	1.2%	36.74
Zimbabwe	230,402	5,362	2.3%	36.61
Myanmar	537,569	19,310	3.6%	35.73
Sao Tome and Principe	5,911	71	1.2%	33.01
Lesotho	32,258	694	2.2%	32.65
Thailand	2,497,001	22,291	0.9%	32.02
Norway	883,388	1,467	0.2%	27.43
Saudi Arabia	705,637	8,953	1.3%	26.13
United Arab Emirates	855,642	2,262	0.3%	23.15
Qatar	344,711	652	0.2%	23.02
Egypt	437,350	22,877	5.2%	22.79
Brunei	17,404	98	0.6%	22.62
Zambia	306,777	3,928	1.3%	21.99
Mauritania	58,443	964	1.6%	21.30
Afghanistan	165,711	7,425	4.5%	19.52
Djibouti	15,510	189	1.2%	19.41
Venezuela	494,835	5,481	1.1%	19.22
Comoros	7,928	160	2.0%	18.80
Cambodia	121,662	3,015	2.5%	18.29
Syria	51,826	3,004	5.8%	17.60
Bangladesh	1,853,187	28,560	1.5%	17.52
Australia	2,727,260	4,200	0.2%	16.56
Gambia	11,880	364	3.1%	15.50
Algeria	257,598	6,640	2.6%	15.42
Japan	3,219,621	19,273	0.6%	15.26
Singapore	379,681	866	0.2%	15.18
Gabon	47,247	302	0.6%	13.90
Malawi	84,795	2,570	3.0%	13.80
Pakistan	1,459,773	29,478	2.0%	13.61
Iceland	73,530	49	0.1%	13.56
Equatorial Guinea	15,845	182	1.1%	13.42
South Korea	1,009,688	6,873	0.7%	13.29
Senegal	85,178	1,955	2.3%	12.00
Rwanda	129,125	1,446	1.1%	11.45
Kenya	322,043	5,607	1.7%	10.66
Timor-Leste	20,328	122	0.6%	9.43
Somalia	26,067	1,335	5.1%	8.64
Sudan	58,874	3,588	6.1%	8.38
Guinea-Bissau	7,749	158	2.0%	8.23
Uganda	162,203	3,552	2.2%	8.02
Laos	136,148	565	0.4%	7.88
Cameroon	116,718	1,880	1.6%	7.27
Mozambique	224,309	2,183	1.0%	7.19
Haiti	29,593	804	2.7%	7.14
Yemen	11,149	2,026	18.2%	6.95
Republic of the Congo	23,705	371	1.6%	6.90
Papua New Guinea	37,390	597	1.6%	6.80
Ethiopia	466,455	7,356	1.6%	6.56
Angola	98,351	1,896	1.9%	5.96
Liberia	7,276	290	4.0%	5.87
Madagascar	61,434	1,307	2.1%	4.85
Uzbekistan	227,909	1,581	0.7%	4.71
Ghana	157,541	1,412	0.9%	4.64
Solomon Islands	2,790	25	0.9%	3.73
Mali	30,156	715	2.4%	3.64
Taiwan	19,101	851	4.5%	3.58
Nicaragua	17,709	221	1.2%	3.38
Guinea	36,262	428	1.2%	3.35
Togo	36,557	268	0.7%	3.32
Côte d'Ivoire	80,901	786	1.0%	3.06
Central African Republic	14,023	110	0.8%	2.32
Burkina Faso	20,679	372	1.8%	1.83
Sierra Leone	7,627	125	1.6%	1.60
Nigeria	253,685	3,139	1.2%	1.56
Democratic Republic of the Congo	85,510	1,278	1.5%	1.47
Benin	26,498	163	0.6%	1.38
Tanzania	33,230	789	2.4%	1.36
Tajikistan	17,733	125	0.7%	1.34
Niger	8,682	302	3.5%	1.30
South Sudan	16,833	137	0.8%	1.24
Chad	7,157	190	2.7%	1.19
New Zealand	17,775	53	0.3%	1.08
Bhutan	5,934	4	0.1%	0.52
China	120,907	4,849	4.0%	0.35
Burundi	37,562	38	0.1%	0.33
Eritrea	9,631	100	1.0%	nan

About this page:

This page was last updated on Sunday, February 6, 2022 at 06:06 AM EST.

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.