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	2,169,427	199,108	9.2%	612.44
Bosnia and Herzegovina	229,360	10,353	4.5%	313.63
North Macedonia	188,113	6,511	3.5%	312.51
Hungary	819,021	30,143	3.7%	308.53
Montenegro	127,894	1,874	1.5%	301.22
Bulgaria	487,588	20,251	4.2%	290.31
Czechia	1,687,448	30,446	1.8%	285.35
Brazil	21,283,567	592,316	2.8%	280.65
San Marino	5,423	90	1.7%	265.80
Argentina	5,245,265	114,684	2.2%	255.20
Colombia	4,945,203	126,006	2.5%	250.31
Moldova	285,321	6,632	2.3%	249.54
Georgia	600,412	8,664	1.4%	232.88
Slovakia	404,982	12,589	3.1%	230.82
Paraguay	459,720	16,138	3.5%	229.08
Belgium	1,229,236	25,533	2.1%	222.33
Italy	4,645,853	130,488	2.8%	216.41
Slovenia	286,267	4,516	1.6%	216.29
Mexico	3,597,168	273,391	7.6%	214.30
Tunisia	702,503	24,654	3.5%	210.81
Croatia	395,097	8,539	2.2%	209.93
United States	42,543,510	681,192	1.6%	207.53
United Kingdom	7,565,751	135,961	1.8%	203.43
Poland	2,899,888	75,523	2.6%	198.90
Chile	1,648,550	37,379	2.3%	197.23
Ecuador	507,020	32,666	6.4%	188.02
Romania	1,165,886	35,851	3.1%	185.21
Spain	4,940,824	86,085	1.7%	182.86
Armenia	254,709	5,181	2.0%	175.17
Uruguay	388,068	6,049	1.6%	174.74
Portugal	1,063,991	17,933	1.7%	174.63
France	7,061,323	116,981	1.7%	174.44
Lithuania	319,281	4,849	1.5%	174.00
Panama	465,147	7,183	1.5%	169.15
Andorra	15,153	130	0.9%	168.52
Kosovo	159,488	2,917	1.8%	162.58
Bolivia	497,984	18,681	3.8%	162.26
Liechtenstein	3,429	60	1.7%	157.82
South Africa	2,889,298	86,500	3.0%	147.72
Sweden	1,147,879	14,809	1.3%	143.98
Iran	5,477,229	118,191	2.2%	142.55
Suriname	38,769	825	2.1%	141.91
Namibia	127,035	3,478	2.7%	139.43
Latvia	151,917	2,665	1.8%	139.33
Russia	7,227,549	197,032	2.7%	136.47
Greece	638,921	14,575	2.3%	136.01
Luxembourg	77,552	835	1.1%	134.70
Ukraine	2,468,567	58,754	2.4%	132.37
Bahamas	20,288	512	2.5%	131.46
Switzerland	830,251	11,027	1.3%	128.60
Austria	728,696	10,933	1.5%	123.16
Costa Rica	515,931	6,128	1.2%	121.41
Lebanon	619,950	8,253	1.3%	120.38
Serbia	886,543	7,885	0.9%	113.54
Seychelles	21,180	110	0.5%	112.68
Germany	4,173,357	93,243	2.2%	112.16
Netherlands	2,027,475	18,528	0.9%	106.90
Ireland	379,366	5,209	1.4%	105.41
Jordan	816,574	10,637	1.3%	105.30
Eswatini	45,578	1,204	2.6%	104.87
Trinidad and Tobago	49,111	1,432	2.9%	102.65
Botswana	173,788	2,354	1.4%	102.18
Belize	19,185	397	2.1%	101.70
Estonia	151,292	1,335	0.9%	100.63
Honduras	361,527	9,627	2.7%	98.78
Guyana	30,186	740	2.5%	94.54
Saint Lucia	10,727	168	1.6%	91.91
Albania	165,096	2,601	1.6%	91.13
Malta	37,036	456	1.2%	90.72
Monaco	3,299	33	1.0%	84.69
West Bank and Gaza	390,369	3,968	1.0%	84.69
Bahrain	274,524	1,388	0.5%	84.57
Israel	1,247,633	7,592	0.6%	83.86
Kazakhstan	944,733	15,503	1.6%	83.74
Oman	303,512	4,093	1.3%	82.27
Guatemala	537,987	13,185	2.5%	79.41
Malaysia	2,142,924	24,565	1.1%	76.89
Turkey	6,932,423	62,307	0.9%	74.68
Canada	1,597,789	27,590	1.7%	73.40
Libya	334,049	4,560	1.4%	67.28
Grenada	4,356	75	1.7%	66.96
Fiji	50,270	579	1.2%	65.06
Azerbaijan	476,409	6,370	1.3%	63.55
Cuba	825,351	6,978	0.8%	61.57
Jamaica	80,959	1,803	2.2%	61.15
Cabo Verde	37,240	332	0.9%	60.37
Antigua and Barbuda	2,625	57	2.2%	58.69
Kuwait	411,316	2,442	0.6%	58.04
Sri Lanka	508,672	12,376	2.4%	56.76
Iraq	1,984,399	21,949	1.1%	55.84
Indonesia	4,198,678	140,954	3.4%	52.08
El Salvador	102,024	3,138	3.1%	48.62
Cyprus	117,508	548	0.5%	45.72
Denmark	357,209	2,636	0.7%	45.30
Maldives	84,017	229	0.3%	43.13
Belarus	522,275	4,041	0.8%	42.69
Kyrgyzstan	177,941	2,595	1.5%	40.19
Nepal	787,828	11,059	1.4%	38.66
Morocco	923,924	14,040	1.5%	38.50
Dominican Republic	356,042	4,031	1.1%	37.54
Mongolia	287,317	1,159	0.4%	35.94
Philippines	2,417,419	37,228	1.5%	34.43
India	33,563,421	446,050	1.3%	32.64
Myanmar	451,663	17,266	3.8%	31.95
Zimbabwe	128,804	4,592	3.6%	31.35
Saudi Arabia	546,735	8,679	1.6%	25.33
Thailand	1,511,357	15,753	1.0%	22.63
Barbados	6,904	62	0.9%	21.60
Sao Tome and Principe	3,192	46	1.4%	21.39
Qatar	235,907	604	0.3%	21.33
United Arab Emirates	733,643	2,080	0.3%	21.29
Zambia	208,676	3,639	1.7%	20.37
Finland	137,594	1,062	0.8%	19.24
Lesotho	14,395	403	2.8%	18.96
Saint Kitts and Nevis	1,718	10	0.6%	18.93
Afghanistan	154,757	7,199	4.7%	18.92
Vietnam	718,963	17,781	2.5%	18.43
Comoros	4,110	147	3.6%	17.28
Egypt	298,988	17,043	5.7%	16.98
Mauritania	35,661	768	2.2%	16.97
Bangladesh	1,547,176	27,313	1.8%	16.75
Djibouti	12,207	159	1.3%	16.33
Norway	184,609	850	0.5%	15.89
St. Vincent and the Grenadines	2,964	17	0.6%	15.37
Dominica	3,134	11	0.4%	15.32
Venezuela	358,462	4,346	1.2%	15.24
Gambia	9,900	334	3.4%	14.23
Japan	1,685,325	17,348	1.0%	13.74
Algeria	202,122	5,739	2.8%	13.33
Cambodia	105,981	2,154	2.0%	13.07
Pakistan	1,232,595	27,432	2.2%	12.67
Syria	31,426	2,158	6.9%	12.64
Malawi	61,433	2,268	3.7%	12.17
Senegal	73,692	1,849	2.5%	11.35
Equatorial Guinea	11,544	140	1.2%	10.32
Rwanda	96,023	1,226	1.3%	9.71
Kenya	247,358	5,018	2.0%	9.54
Iceland	11,558	33	0.3%	9.13
Timor-Leste	19,206	108	0.6%	8.35
Gabon	28,726	178	0.6%	8.19
Brunei	5,586	31	0.6%	7.15
Uganda	122,502	3,135	2.6%	7.08
Somalia	19,235	1,079	5.6%	6.99
Guinea-Bissau	6,093	133	2.2%	6.92
Sudan	38,050	2,881	7.6%	6.73
Mozambique	150,280	1,906	1.3%	6.28
Liberia	5,915	283	4.8%	5.73
Yemen	8,789	1,658	18.9%	5.69
Haiti	21,431	605	2.8%	5.37
Cameroon	85,414	1,368	1.6%	5.29
Mauritius	14,863	60	0.4%	4.74
Australia	92,178	1,196	1.3%	4.72
South Korea	292,699	2,427	0.8%	4.69
Ethiopia	336,762	5,254	1.6%	4.69
Angola	53,387	1,434	2.7%	4.51
Ghana	125,830	1,130	0.9%	3.71
Uzbekistan	169,989	1,203	0.7%	3.58
Madagascar	42,898	958	2.2%	3.55
Republic of the Congo	14,014	191	1.4%	3.55
Taiwan	16,159	841	5.2%	3.54
Nicaragua	13,730	203	1.5%	3.10
Guinea	30,303	375	1.2%	2.94
Mali	15,103	547	3.6%	2.78
Togo	24,902	216	0.9%	2.67
Papua New Guinea	19,182	217	1.1%	2.47
Côte d'Ivoire	59,408	583	1.0%	2.27
Central African Republic	11,340	100	0.9%	2.11
Sierra Leone	6,393	121	1.9%	1.55
Tajikistan	17,484	125	0.7%	1.34
Nigeria	203,081	2,666	1.3%	1.33
Benin	21,450	146	0.7%	1.24
Democratic Republic of the Congo	56,463	1,068	1.9%	1.23
Singapore	81,356	68	0.1%	1.19
South Sudan	11,861	121	1.0%	1.09
Chad	5,030	174	3.5%	1.09
Burkina Faso	14,076	176	1.3%	0.87
Niger	5,967	201	3.4%	0.86
New Zealand	4,136	27	0.7%	0.55
Bhutan	2,599	3	0.1%	0.39
China	108,124	4,849	4.5%	0.35
Burundi	16,356	38	0.2%	0.33
Laos	19,952	16	0.1%	0.22
Tanzania	1,367	50	3.7%	0.09
Eritrea	6,680	41	0.6%	nan

About this page:

This page was last updated on Thursday, September 23, 2021 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.