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	3,576,309	213,116	6.0%	646.36
Bulgaria	1,163,706	37,106	3.2%	534.02
Bosnia and Herzegovina	377,745	15,785	4.2%	481.13
Hungary	1,914,697	46,446	2.4%	480.79
North Macedonia	311,350	9,297	3.0%	446.25
Montenegro	236,762	2,719	1.1%	432.92
Georgia	1,655,221	16,811	1.0%	421.42
Croatia	1,134,269	15,968	1.4%	388.96
Czechia	3,918,537	40,270	1.0%	376.04
Slovakia	2,540,935	20,081	0.8%	369.50
Romania	2,906,285	65,654	2.3%	341.28
San Marino	17,023	115	0.7%	338.85
Lithuania	1,061,549	9,134	0.9%	335.53
Slovenia	1,022,600	6,630	0.6%	318.91
Brazil	30,803,995	665,891	2.2%	313.27
Latvia	827,201	5,815	0.7%	308.29
Poland	6,005,596	116,268	1.9%	307.21
US	83,390,587	1,002,377	1.2%	304.24
Chile	3,647,361	57,810	1.6%	302.41
Armenia	422,939	8,624	2.0%	291.03
Moldova	518,492	11,521	2.2%	286.04
Greece	3,422,233	29,711	0.9%	285.05
Argentina	9,178,795	128,825	1.4%	285.04
Trinidad and Tobago	158,668	3,895	2.5%	278.32
Belgium	4,143,408	31,710	0.8%	275.92
Colombia	6,099,111	139,833	2.3%	274.81
Italy	17,257,573	166,032	1.0%	274.61
Paraguay	650,283	18,885	2.9%	264.77
United Kingdom	22,448,854	178,744	0.8%	263.30
Ukraine	5,040,518	112,459	2.2%	257.14
Mexico	5,759,773	324,768	5.6%	254.14
Russia	18,030,719	370,795	2.1%	254.08
Tunisia	1,041,789	28,628	2.7%	242.23
France	29,551,335	148,955	0.5%	228.28
Suriname	80,240	1,339	1.7%	228.25
Spain	12,234,806	105,952	0.9%	226.61
Portugal	4,453,294	22,784	0.5%	223.44
Austria	4,273,888	19,865	0.5%	220.57
Liechtenstein	17,407	84	0.5%	220.26
Uruguay	908,078	7,215	0.8%	207.70
Bahamas	34,303	810	2.4%	205.98
Ecuador	874,719	35,617	4.1%	201.88
Saint Lucia	25,054	370	1.5%	201.49
Grenada	17,234	223	1.3%	198.19
Andorra	42,572	153	0.4%	198.02
Estonia	575,046	2,561	0.4%	193.06
Panama	832,045	8,229	1.0%	190.72
Bolivia	907,307	21,945	2.4%	188.00
Sweden	2,506,607	18,941	0.8%	187.55
Serbia	2,015,382	16,068	0.8%	183.90
Kosovo	228,309	3,139	1.4%	173.39
Luxembourg	244,182	1,073	0.4%	171.41
Belize	58,617	677	1.2%	170.26
South Africa	3,931,534	100,952	2.6%	170.21
Seychelles	43,729	167	0.4%	169.82
Iran	7,230,321	141,281	2.0%	168.21
Germany	26,109,965	138,485	0.5%	166.54
Costa Rica	877,533	8,472	1.0%	166.31
Malta	94,113	718	0.8%	162.61
Switzerland	3,659,937	13,790	0.4%	159.34
Namibia	164,953	4,033	2.4%	158.72
Guyana	64,297	1,231	1.9%	156.50
Barbados	79,049	440	0.6%	153.11
Lebanon	1,098,640	10,418	0.9%	152.63
Ireland	1,551,835	7,244	0.5%	146.71
Monaco	12,124	57	0.5%	145.25
Antigua and Barbuda	7,982	138	1.7%	140.92
Jordan	1,696,668	14,066	0.8%	137.86
Netherlands	8,262,012	22,938	0.3%	133.87
Israel	4,125,039	10,833	0.3%	125.16
Albania	275,881	3,497	1.3%	121.52
Eswatini	72,202	1,404	1.9%	121.02
Turkey	15,064,220	98,933	0.7%	117.30
Botswana	306,614	2,692	0.9%	114.47
West Bank and Gaza	657,573	5,660	0.9%	110.95
Malaysia	4,492,864	35,645	0.8%	110.13
Honduras	424,859	10,896	2.6%	110.01
Denmark	3,177,581	6,361	0.2%	108.97
Canada	3,863,979	40,740	1.1%	106.52
Jamaica	134,660	3,032	2.3%	102.39
Kazakhstan	1,394,803	19,015	1.4%	101.27
Guatemala	856,576	17,969	2.1%	100.30
Fiji	64,898	862	1.3%	96.16
Azerbaijan	792,714	9,710	1.2%	95.77
Saint Vincent and the Grenadines	8,591	106	1.2%	95.54
Libya	501,987	6,430	1.3%	93.58
Cyprus	488,189	1,057	0.2%	87.55
Dominica	13,752	63	0.5%	87.51
Bahrain	581,866	1,483	0.3%	87.15
Oman	389,473	4,260	1.1%	83.42
Saint Kitts and Nevis	5,671	43	0.8%	80.84
Finland	1,081,225	4,406	0.4%	79.52
Mauritius	224,722	996	0.4%	78.32
Sri Lanka	663,765	16,512	2.5%	77.11
Cuba	1,105,016	8,529	0.8%	75.30
Belarus	982,867	6,978	0.7%	73.85
Cabo Verde	56,172	401	0.7%	72.12
Mongolia	922,618	2,179	0.2%	66.47
El Salvador	162,089	4,131	2.5%	63.69
Iraq	2,327,387	25,218	1.1%	62.70
Kuwait	632,781	2,555	0.4%	59.83
Indonesia	6,052,764	156,534	2.6%	57.23
Norway	1,431,697	3,094	0.2%	57.07
Philippines	3,689,132	60,455	1.6%	55.17
Maldives	179,662	298	0.2%	55.13
Brunei	146,775	222	0.2%	50.74
Korea, South	17,993,985	24,006	0.1%	46.82
Kyrgyzstan	200,993	2,991	1.5%	45.84
Iceland	187,262	153	0.1%	44.84
Vietnam	10,710,066	43,076	0.4%	44.25
Morocco	1,166,716	16,075	1.4%	43.55
Thailand	4,419,737	29,811	0.7%	42.71
Nepal	979,076	11,952	1.2%	41.02
Dominican Republic	581,464	4,377	0.8%	40.35
India	43,140,068	524,490	1.2%	38.01
Zimbabwe	250,702	5,495	2.2%	36.97
Burma	613,227	19,434	3.2%	35.72
Palau	4,967	6	0.1%	33.32
Sao Tome and Principe	5,982	73	1.2%	33.31
Lesotho	33,305	698	2.1%	32.58
Australia	7,025,922	8,178	0.1%	32.12
Saudi Arabia	763,692	9,131	1.2%	26.23
Egypt	515,645	24,704	4.8%	24.14
Japan	8,632,778	30,336	0.4%	23.99
Singapore	1,272,386	1,377	0.1%	23.54
Qatar	367,272	677	0.2%	23.50
United Arab Emirates	905,151	2,302	0.3%	23.28
Solomon Islands	18,174	146	0.8%	22.36
Zambia	321,195	3,985	1.2%	21.68
New Zealand	1,119,371	1,032	0.1%	21.40
Mauritania	59,047	982	1.7%	21.12
Venezuela	523,377	5,716	1.1%	20.10
Afghanistan	179,716	7,698	4.3%	19.77
Djibouti	15,675	189	1.2%	19.13
Comoros	8,114	160	2.0%	18.40
Cambodia	136,262	3,056	2.2%	18.28
Syria	55,880	3,150	5.6%	18.00
Bangladesh	1,953,264	29,130	1.5%	17.69
Algeria	265,855	6,875	2.6%	15.68
Gambia	11,999	365	3.0%	15.10
Malawi	85,935	2,638	3.1%	13.79
Pakistan	1,529,837	30,379	2.0%	13.75
Gabon	47,622	304	0.6%	13.66
Equatorial Guinea	15,910	183	1.2%	13.04
Samoa	12,382	25	0.2%	12.75
Senegal	86,075	1,966	2.3%	11.74
Rwanda	129,988	1,459	1.1%	11.26
Sudan	62,229	4,939	7.9%	11.26
Kiribati	3,098	13	0.4%	11.05
Kenya	324,274	5,651	1.7%	10.51
Tonga	11,500	11	0.1%	10.41
Laos	209,744	754	0.4%	10.36
Timor-Leste	22,896	131	0.6%	9.94
Guinea-Bissau	8,246	171	2.1%	8.69
Somalia	26,521	1,361	5.1%	8.56
Uganda	164,153	3,598	2.2%	7.87
Haiti	30,746	835	2.7%	7.32
Papua New Guinea	44,403	651	1.5%	7.28
Cameroon	119,780	1,927	1.6%	7.26
Yemen	11,819	2,149	18.2%	7.21
Mozambique	225,586	2,203	1.0%	7.05
Congo (Brazzaville)	24,079	385	1.6%	6.98
Ethiopia	471,423	7,512	1.6%	6.53
Taiwan*	1,386,640	1,436	0.1%	6.03
Liberia	7,455	294	3.9%	5.81
Angola	99,287	1,900	1.9%	5.78
Madagascar	64,314	1,393	2.2%	5.03
Uzbekistan	238,940	1,637	0.7%	4.89
Vanuatu	8,682	14	0.2%	4.78
Ghana	161,351	1,445	0.9%	4.65
Mali	31,057	734	2.4%	3.62
Nicaragua	18,491	237	1.3%	3.58
Guinea	36,661	442	1.2%	3.37
Togo	37,049	273	0.7%	3.30
Cote d'Ivoire	82,070	799	1.0%	3.03
Eritrea	9,755	103	1.1%	2.90
Bhutan	59,614	21	0.0%	2.72
Central African Republic	14,649	113	0.8%	2.34
Burkina Faso	20,899	384	1.8%	1.84
Sierra Leone	7,682	125	1.6%	1.57
Nigeria	255,937	3,143	1.2%	1.52
Congo (Kinshasa)	87,633	1,338	1.5%	1.49
Tanzania	35,354	840	2.4%	1.41
Benin	26,952	163	0.6%	1.34
Tajikistan	17,786	125	0.7%	1.31
Niger	9,031	310	3.4%	1.28
South Sudan	17,573	138	0.8%	1.23
Chad	7,417	193	2.6%	1.17
China	2,397,097	14,594	0.6%	1.03
Burundi	41,850	38	0.1%	0.32
Korea, North	1	6	600.0%	0.02

About this page:

This page was last updated on Tuesday, May 24, 2022 at 06:00 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.