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	3,617,629	213,475	5.9%	647.45
Bulgaria	1,170,686	37,247	3.2%	536.05
Hungary	1,925,083	46,626	2.4%	482.65
Bosnia and Herzegovina	378,505	15,803	4.2%	481.68
North Macedonia	313,540	9,322	3.0%	447.45
Montenegro	239,552	2,725	1.1%	433.87
Georgia	1,659,371	16,839	1.0%	422.12
Croatia	1,145,521	16,052	1.4%	391.01
Czechia	3,930,399	40,314	1.0%	376.45
Slovakia	2,548,964	20,142	0.8%	370.62
Romania	2,919,461	65,739	2.3%	341.72
San Marino	17,767	115	0.6%	338.85
Lithuania	1,159,567	9,168	0.8%	336.78
Slovenia	1,035,420	6,649	0.6%	319.83
Brazil	32,130,316	670,532	2.1%	315.46
Latvia	833,711	5,855	0.7%	310.41
US	87,092,233	1,016,208	1.2%	308.44
Poland	6,013,164	116,417	1.9%	307.60
Chile	3,967,774	58,445	1.5%	305.74
Armenia	423,243	8,629	2.0%	291.20
Greece	3,624,556	30,190	0.8%	289.65
Moldova	519,741	11,563	2.2%	287.09
Trinidad and Tobago	166,712	4,002	2.4%	285.96
Argentina	9,367,172	129,070	1.4%	285.58
Italy	18,259,261	168,165	0.9%	278.13
Belgium	4,225,222	31,903	0.8%	277.60
Colombia	6,151,354	139,970	2.3%	275.08
United Kingdom	22,834,153	180,683	0.8%	266.16
Paraguay	655,532	18,963	2.9%	265.87
Ukraine	5,040,518	112,459	2.2%	257.14
Russia	18,152,652	373,240	2.1%	255.76
Mexico	5,965,958	325,596	5.5%	254.79
Tunisia	1,046,703	28,670	2.7%	242.58
Portugal	5,138,659	24,061	0.5%	235.97
Suriname	80,817	1,359	1.7%	231.66
France	30,879,062	150,445	0.5%	230.57
Spain	12,681,820	107,799	0.9%	230.56
Liechtenstein	17,814	85	0.5%	222.88
Austria	4,425,837	20,023	0.5%	222.32
Uruguay	957,629	7,331	0.8%	211.04
Bahamas	35,881	817	2.3%	207.76
Saint Lucia	26,970	380	1.4%	206.94
Grenada	18,270	232	1.3%	206.19
Ecuador	901,739	35,705	4.0%	202.37
Andorra	43,774	153	0.3%	198.02
Estonia	579,316	2,588	0.4%	195.09
Panama	915,923	8,348	0.9%	193.48
Sweden	2,515,769	19,093	0.8%	189.05
Bolivia	921,104	21,953	2.4%	188.07
Serbia	2,026,796	16,124	0.8%	184.54
Luxembourg	258,467	1,088	0.4%	173.81
Kosovo	228,809	3,140	1.4%	173.45
South Africa	3,992,661	101,740	2.5%	171.54
Belize	63,310	679	1.1%	170.77
Seychelles	44,669	167	0.4%	169.82
Germany	27,914,240	140,847	0.5%	169.38
Iran	7,236,713	141,386	2.0%	168.33
Malta	101,453	740	0.7%	167.60
Costa Rica	904,934	8,525	0.9%	167.35
Barbados	83,820	473	0.6%	164.60
Namibia	169,076	4,061	2.4%	159.82
Switzerland	3,726,615	13,824	0.4%	159.73
Guyana	67,114	1,251	1.9%	159.05
Lebanon	1,108,213	10,461	0.9%	153.26
Ireland	1,587,385	7,469	0.5%	151.26
Monaco	12,887	57	0.4%	145.25
Antigua and Barbuda	8,625	141	1.6%	143.98
Jordan	1,699,197	14,068	0.8%	137.88
Netherlands	8,271,456	22,980	0.3%	134.11
Israel	4,316,205	10,942	0.3%	126.42
Eswatini	73,076	1,415	1.9%	121.97
Albania	279,077	3,497	1.3%	121.52
Turkey	15,096,696	99,015	0.7%	117.40
Botswana	320,127	2,726	0.9%	115.92
Denmark	3,211,064	6,497	0.2%	111.30
West Bank and Gaza	659,853	5,660	0.9%	110.95
Malaysia	4,558,558	35,754	0.8%	110.47
Honduras	426,879	10,905	2.6%	110.10
Canada	3,942,058	41,878	1.1%	109.50
Jamaica	142,558	3,120	2.2%	105.36
Guatemala	897,462	18,504	2.1%	103.28
Kazakhstan	1,395,533	19,018	1.4%	101.29
Saint Vincent and the Grenadines	9,026	111	1.2%	100.05
Fiji	65,558	865	1.3%	96.49
Azerbaijan	793,176	9,717	1.2%	95.84
Libya	502,138	6,430	1.3%	93.58
Dominica	14,821	67	0.5%	93.07
Oman	390,244	4,628	1.2%	90.63
Cyprus	504,717	1,072	0.2%	88.79
Bahrain	620,427	1,492	0.2%	87.68
Finland	1,133,597	4,832	0.4%	87.21
Saint Kitts and Nevis	5,965	43	0.7%	80.84
Mauritius	229,479	1,002	0.4%	78.79
Sri Lanka	664,090	16,521	2.5%	77.15
Cuba	1,105,950	8,529	0.8%	75.30
Belarus	982,867	6,978	0.7%	73.85
Cabo Verde	59,416	403	0.7%	72.48
Mongolia	926,282	2,179	0.2%	66.47
El Salvador	169,646	4,141	2.4%	63.84
Iraq	2,341,053	25,233	1.1%	62.73
Norway	1,445,034	3,280	0.2%	60.50
Kuwait	643,004	2,555	0.4%	59.83
Indonesia	6,081,896	156,726	2.6%	57.30
Maldives	181,586	305	0.2%	56.42
Philippines	3,701,743	60,518	1.6%	55.23
Brunei	161,538	225	0.1%	51.43
Korea, South	18,339,319	24,530	0.1%	47.85
Kyrgyzstan	201,024	2,991	1.5%	45.84
Iceland	192,991	153	0.1%	44.84
Vietnam	10,744,085	43,084	0.4%	44.26
Thailand	4,517,651	30,620	0.7%	43.87
Morocco	1,205,293	16,101	1.3%	43.62
Nepal	979,569	11,952	1.2%	41.02
Dominican Republic	603,256	4,383	0.7%	40.40
Australia	8,057,729	9,758	0.1%	38.33
India	43,418,839	525,047	1.2%	38.05
Zimbabwe	255,383	5,549	2.2%	37.33
Burma	613,568	19,434	3.2%	35.72
Palau	5,201	6	0.1%	33.32
Sao Tome and Principe	6,043	73	1.2%	33.31
Lesotho	33,938	699	2.1%	32.63
New Zealand	1,328,244	1,438	0.1%	29.82
Taiwan*	3,641,921	6,345	0.2%	26.64
Saudi Arabia	792,860	9,202	1.2%	26.43
Japan	9,250,940	31,138	0.3%	24.62
Egypt	515,645	24,723	4.8%	24.16
Singapore	1,413,667	1,409	0.1%	24.08
Qatar	380,530	679	0.2%	23.57
Solomon Islands	21,544	153	0.7%	23.44
United Arab Emirates	940,503	2,313	0.2%	23.39
Zambia	325,348	4,003	1.2%	21.77
Mauritania	59,494	982	1.7%	21.12
Venezuela	525,827	5,730	1.1%	20.15
Afghanistan	182,228	7,720	4.2%	19.83
Djibouti	15,690	189	1.2%	19.13
Comoros	8,136	160	2.0%	18.40
Cambodia	136,262	3,056	2.2%	18.28
Syria	55,923	3,150	5.6%	18.00
Bangladesh	1,967,274	29,142	1.5%	17.70
Algeria	266,049	6,875	2.6%	15.68
Gambia	12,002	365	3.0%	15.10
Samoa	14,843	29	0.2%	14.79
Malawi	86,410	2,645	3.1%	13.83
Pakistan	1,534,603	30,392	2.0%	13.76
Gabon	47,824	305	0.6%	13.70
Equatorial Guinea	15,995	183	1.1%	13.04
Senegal	86,286	1,968	2.3%	11.75
Tonga	12,301	12	0.1%	11.35
Sudan	62,551	4,951	7.9%	11.29
Rwanda	130,859	1,459	1.1%	11.26
Kiribati	3,236	13	0.4%	11.05
Kenya	332,459	5,652	1.7%	10.51
Laos	210,251	757	0.4%	10.40
Timor-Leste	22,951	133	0.6%	10.09
Guinea-Bissau	8,348	171	2.0%	8.69
Somalia	26,803	1,361	5.1%	8.56
Uganda	167,511	3,621	2.2%	7.92
Papua New Guinea	44,711	662	1.5%	7.40
Haiti	31,410	837	2.7%	7.34
Cameroon	120,002	1,930	1.6%	7.27
Yemen	11,824	2,149	18.2%	7.21
Mozambique	227,660	2,212	1.0%	7.08
Congo (Brazzaville)	24,128	385	1.6%	6.98
Ethiopia	487,683	7,532	1.5%	6.55
Liberia	7,493	294	3.9%	5.81
Angola	99,761	1,900	1.9%	5.78
Madagascar	65,381	1,398	2.1%	5.05
Uzbekistan	240,478	1,637	0.7%	4.89
Vanuatu	11,174	14	0.1%	4.78
Ghana	165,749	1,449	0.9%	4.66
Mali	31,158	737	2.4%	3.64
Nicaragua	14,619	241	1.6%	3.64
Guinea	36,817	442	1.2%	3.37
Togo	37,361	275	0.7%	3.32
Cote d'Ivoire	83,049	805	1.0%	3.05
Eritrea	9,792	103	1.1%	2.90
Bhutan	59,729	21	0.0%	2.72
Central African Republic	14,649	113	0.8%	2.34
Burkina Faso	21,044	387	1.8%	1.85
Sierra Leone	7,694	125	1.6%	1.57
Congo (Kinshasa)	91,082	1,371	1.5%	1.53
Nigeria	256,958	3,144	1.2%	1.53
Tanzania	35,366	841	2.4%	1.41
Benin	27,122	163	0.6%	1.34
Tajikistan	17,786	125	0.7%	1.31
Niger	9,031	310	3.4%	1.28
South Sudan	17,697	138	0.8%	1.23
Chad	7,425	193	2.6%	1.17
China	2,128,225	14,624	0.7%	1.04
Burundi	42,542	38	0.1%	0.32
Korea, North	1	6	600.0%	0.02

About this page:

This page was last updated on Tuesday, June 28, 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.