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	4,037,977	215,088	5.3%	652.34
Bulgaria	1,230,822	37,517	3.0%	539.93
Hungary	2,021,648	47,083	2.3%	487.38
Bosnia and Herzegovina	392,253	15,971	4.1%	486.80
North Macedonia	336,560	9,429	2.8%	452.58
Montenegro	271,241	2,764	1.0%	440.08
Georgia	1,710,749	16,877	1.0%	423.07
Croatia	1,201,743	16,528	1.4%	402.60
Czechia	4,020,351	40,687	1.0%	379.93
Slovakia	2,580,748	20,236	0.8%	372.35
San Marino	20,196	118	0.6%	347.69
Romania	3,170,726	66,417	2.1%	345.24
Lithuania	1,203,644	9,250	0.8%	339.79
Slovenia	1,107,198	6,753	0.6%	324.83
Brazil	34,223,207	682,010	2.0%	320.86
US	93,278,036	1,039,026	1.1%	315.37
Chile	4,399,408	60,036	1.4%	314.06
Latvia	887,046	5,918	0.7%	313.75
Poland	6,128,006	116,798	1.9%	308.61
Greece	4,654,737	32,028	0.7%	307.28
Trinidad and Tobago	175,856	4,084	2.3%	291.82
Armenia	430,361	8,643	2.0%	291.67
Moldova	561,196	11,693	2.1%	290.32
Italy	21,554,626	174,300	0.8%	288.28
Argentina	9,633,732	129,566	1.3%	286.68
Belgium	4,460,582	32,410	0.7%	282.01
Colombia	6,286,392	141,287	2.2%	277.67
United Kingdom	23,675,470	187,730	0.8%	276.54
Paraguay	712,907	19,357	2.7%	271.39
Ukraine	5,306,219	116,511	2.2%	266.41
Mexico	6,949,653	328,871	4.7%	257.35
Russia	18,688,416	375,532	2.0%	257.33
Tunisia	1,141,334	29,202	2.6%	247.08
Portugal	5,385,702	24,762	0.5%	242.84
Spain	13,306,301	111,906	0.8%	239.35
France	34,491,381	154,375	0.4%	236.59
Suriname	81,007	1,382	1.7%	235.58
Austria	4,885,051	20,512	0.4%	227.75
Liechtenstein	18,961	86	0.5%	225.50
Uruguay	975,264	7,429	0.8%	213.86
Saint Lucia	28,379	388	1.4%	211.30
Bahamas	36,944	823	2.2%	209.28
Grenada	19,006	234	1.2%	207.96
Ecuador	983,615	35,811	3.6%	202.97
Andorra	45,975	154	0.3%	199.31
Estonia	595,419	2,642	0.4%	199.16
Panama	966,779	8,444	0.9%	195.70
Sweden	2,551,996	19,528	0.8%	193.36
Bolivia	1,088,291	22,155	2.0%	189.80
Serbia	2,225,382	16,491	0.7%	188.74
Barbados	98,622	525	0.5%	182.69
Malta	113,627	798	0.7%	180.73
Luxembourg	285,145	1,121	0.4%	179.08
Kosovo	268,156	3,186	1.2%	175.99
Germany	31,725,160	146,214	0.5%	175.83
Costa Rica	1,069,162	8,800	0.8%	172.75
South Africa	4,008,988	102,066	2.5%	172.09
Belize	67,891	680	1.0%	171.02
Seychelles	45,852	168	0.4%	170.84
Iran	7,493,317	143,160	1.9%	170.44
Guyana	70,703	1,276	1.8%	162.23
Switzerland	4,012,610	13,951	0.3%	161.20
Namibia	169,253	4,074	2.4%	160.34
Ireland	1,653,576	7,782	0.5%	157.60
Monaco	14,299	61	0.4%	155.44
Lebanon	1,200,111	10,589	0.9%	155.14
Antigua and Barbuda	8,851	144	1.6%	147.05
Jordan	1,726,717	14,095	0.8%	138.14
Netherlands	8,479,828	23,197	0.3%	135.38
Israel	4,619,552	11,524	0.2%	133.14
Albania	323,282	3,574	1.1%	124.19
Eswatini	73,336	1,419	1.9%	122.31
Turkey	16,671,848	100,400	0.6%	119.04
Botswana	325,824	2,774	0.9%	117.96
Denmark	3,306,313	6,882	0.2%	117.90
Canada	4,151,317	43,539	1.0%	113.84
Malaysia	4,744,929	36,117	0.8%	111.59
West Bank and Gaza	697,447	5,691	0.8%	111.56
Honduras	449,495	10,958	2.4%	110.64
Jamaica	148,322	3,230	2.2%	109.08
Guatemala	1,077,836	19,261	1.8%	107.51
Saint Vincent and the Grenadines	9,405	115	1.2%	103.65
Kazakhstan	1,469,601	19,030	1.3%	101.35
Fiji	67,969	875	1.3%	97.61
Finland	1,238,998	5,350	0.4%	96.56
Azerbaijan	806,472	9,777	1.2%	96.43
Cyprus	571,994	1,149	0.2%	95.17
Dominica	14,852	68	0.5%	94.46
Libya	506,441	6,436	1.3%	93.67
Oman	397,574	4,628	1.2%	90.63
Bahrain	668,499	1,513	0.2%	88.92
Saint Kitts and Nevis	6,493	46	0.7%	86.48
Mauritius	251,746	1,019	0.4%	80.12
Sri Lanka	668,497	16,635	2.5%	77.69
Belarus	994,037	7,118	0.7%	75.33
Cuba	1,109,649	8,529	0.8%	75.30
Cabo Verde	62,266	410	0.7%	73.74
Norway	1,458,603	3,890	0.3%	71.75
El Salvador	190,818	4,217	2.2%	65.01
Mongolia	972,443	2,124	0.2%	64.79
Iraq	2,454,213	25,338	1.0%	62.99
Kuwait	656,393	2,562	0.4%	59.99
Indonesia	6,297,484	157,296	2.5%	57.51
Maldives	184,689	307	0.2%	56.79
Philippines	3,840,943	61,173	1.6%	55.82
Iceland	203,814	179	0.1%	52.45
Australia	9,870,588	13,153	0.1%	51.66
Brunei	215,283	225	0.1%	51.43
Korea, South	21,861,296	25,813	0.1%	50.35
Kyrgyzstan	205,198	2,991	1.5%	45.84
Thailand	4,626,057	31,915	0.7%	45.72
Vietnam	11,373,276	43,103	0.4%	44.28
Morocco	1,263,700	16,269	1.3%	44.08
Nepal	994,389	11,990	1.2%	41.15
Dominican Republic	635,461	4,384	0.7%	40.41
Taiwan*	4,952,570	9,506	0.2%	39.91
India	44,298,864	527,206	1.2%	38.20
Zimbabwe	256,565	5,588	2.2%	37.60
New Zealand	1,711,862	1,808	0.1%	37.49
Burma	614,510	19,437	3.2%	35.72
Sao Tome and Principe	6,123	76	1.2%	34.68
Palau	5,308	6	0.1%	33.32
Lesotho	34,206	704	2.1%	32.86
Japan	16,192,610	35,998	0.2%	28.46
Singapore	1,805,698	1,567	0.1%	26.78
Saudi Arabia	812,300	9,272	1.1%	26.63
Egypt	515,645	24,786	4.8%	24.22
United Arab Emirates	1,007,039	2,340	0.2%	23.66
Qatar	421,532	681	0.2%	23.64
Solomon Islands	21,544	153	0.7%	23.44
Zambia	332,264	4,016	1.2%	21.85
Mauritania	62,724	992	1.6%	21.33
Venezuela	540,796	5,781	1.1%	20.33
Afghanistan	189,710	7,759	4.1%	19.93
Djibouti	15,690	189	1.2%	19.13
Comoros	8,374	161	1.9%	18.51
Micronesia	7,196	21	0.3%	18.45
Cambodia	137,326	3,056	2.2%	18.28
Syria	56,797	3,160	5.6%	18.06
Bangladesh	2,009,434	29,314	1.5%	17.80
Algeria	269,473	6,878	2.6%	15.68
Marshall Islands	6,606	9	0.1%	15.41
Gambia	12,238	368	3.0%	15.23
Samoa	15,405	29	0.2%	14.79
Malawi	87,732	2,673	3.0%	13.97
Pakistan	1,564,809	30,544	2.0%	13.83
Gabon	48,592	306	0.6%	13.75
Equatorial Guinea	16,914	183	1.1%	13.04
Senegal	87,835	1,968	2.2%	11.75
Tonga	14,135	12	0.1%	11.35
Rwanda	132,370	1,466	1.1%	11.32
Sudan	63,147	4,961	7.9%	11.31
Kiribati	3,430	13	0.4%	11.05
Kenya	337,985	5,673	1.7%	10.55
Laos	212,761	757	0.4%	10.40
Timor-Leste	23,100	135	0.6%	10.24
Guinea-Bissau	8,482	174	2.1%	8.84
Somalia	27,020	1,361	5.0%	8.56
Uganda	169,396	3,628	2.1%	7.93
Papua New Guinea	44,843	663	1.5%	7.41
Haiti	32,703	838	2.6%	7.35
Cameroon	120,967	1,933	1.6%	7.28
Yemen	11,903	2,152	18.1%	7.22
Mozambique	229,932	2,219	1.0%	7.10
Congo (Brazzaville)	24,837	386	1.6%	7.00
Ethiopia	492,874	7,571	1.5%	6.59
Angola	102,636	1,917	1.9%	5.83
Liberia	7,656	294	3.8%	5.81
Madagascar	66,599	1,410	2.1%	5.09
Uzbekistan	243,605	1,637	0.7%	4.89
Vanuatu	11,753	14	0.1%	4.78
Ghana	168,457	1,459	0.9%	4.70
Nicaragua	14,899	244	1.6%	3.68
Mali	31,249	739	2.4%	3.65
Guinea	37,470	447	1.2%	3.40
Togo	38,330	281	0.7%	3.39
Cote d'Ivoire	86,256	817	0.9%	3.10
Eritrea	10,143	103	1.0%	2.90
Bhutan	60,779	21	0.0%	2.72
Central African Republic	14,803	113	0.8%	2.34
Burkina Faso	21,128	387	1.8%	1.85
Sierra Leone	7,743	126	1.6%	1.58
Congo (Kinshasa)	92,543	1,393	1.5%	1.56
Nigeria	262,664	3,147	1.2%	1.53
Tanzania	38,454	841	2.2%	1.41
Benin	27,316	163	0.6%	1.34
Tajikistan	17,786	125	0.7%	1.31
Niger	9,157	312	3.4%	1.29
South Sudan	17,823	138	0.8%	1.23
Chad	7,458	193	2.6%	1.17
China	2,363,469	14,816	0.6%	1.05
Burundi	48,548	38	0.1%	0.32
Korea, North	1	6	600.0%	0.02

About this page:

This page was last updated on Thursday, August 18, 2022 at 06:02 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.