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	4,002,949	214,818	5.4%	651.52
Bulgaria	1,224,222	37,475	3.1%	539.33
Hungary	2,005,399	46,966	2.3%	486.17
Bosnia and Herzegovina	390,284	15,939	4.1%	485.82
North Macedonia	333,948	9,410	2.8%	451.67
Montenegro	267,938	2,758	1.0%	439.13
Georgia	1,710,749	16,877	1.0%	423.07
Croatia	1,197,804	16,461	1.4%	400.97
Czechia	4,009,188	40,619	1.0%	379.30
Slovakia	2,580,748	20,236	0.8%	372.35
San Marino	20,113	118	0.6%	347.69
Romania	3,144,327	66,291	2.1%	344.59
Lithuania	1,197,416	9,229	0.8%	339.02
Slovenia	1,099,952	6,741	0.6%	324.25
Brazil	34,124,579	681,006	2.0%	320.38
US	92,719,491	1,036,325	1.1%	314.55
Chile	4,344,910	59,896	1.4%	313.33
Latvia	879,481	5,908	0.7%	313.22
Poland	6,109,621	116,737	1.9%	308.45
Greece	4,577,675	31,722	0.7%	304.34
Armenia	428,648	8,637	2.0%	291.47
Trinidad and Tobago	174,159	4,070	2.3%	290.82
Moldova	551,862	11,662	2.1%	289.55
Italy	21,428,602	173,701	0.8%	287.29
Argentina	9,602,534	129,440	1.3%	286.40
Belgium	4,453,483	32,364	0.7%	281.61
Colombia	6,286,392	141,287	2.2%	277.67
United Kingdom	23,634,568	186,798	0.8%	275.16
Paraguay	710,890	19,289	2.7%	270.44
Ukraine	5,303,833	116,505	2.2%	266.40
Russia	18,523,028	375,192	2.0%	257.10
Mexico	6,875,708	328,437	4.8%	257.01
Tunisia	1,139,241	29,153	2.6%	246.67
Portugal	5,373,479	24,721	0.5%	242.44
Spain	13,280,557	111,339	0.8%	238.13
France	34,383,344	154,030	0.4%	236.06
Suriname	80,988	1,380	1.7%	235.24
Austria	4,855,498	20,472	0.4%	227.31
Liechtenstein	18,889	86	0.5%	225.50
Uruguay	973,420	7,423	0.8%	213.69
Saint Lucia	28,233	387	1.4%	210.75
Bahamas	36,870	822	2.2%	209.03
Grenada	18,869	234	1.2%	207.96
Ecuador	975,234	35,811	3.7%	202.97
Andorra	45,899	154	0.3%	199.31
Estonia	593,571	2,634	0.4%	198.56
Panama	960,300	8,434	0.9%	195.47
Sweden	2,551,996	19,528	0.8%	193.36
Bolivia	1,076,815	22,120	2.1%	189.50
Serbia	2,191,562	16,409	0.7%	187.80
Malta	113,427	797	0.7%	180.51
Barbados	96,781	514	0.5%	178.86
Luxembourg	284,931	1,117	0.4%	178.44
Kosovo	264,564	3,181	1.2%	175.71
Germany	31,489,484	145,561	0.5%	175.05
Costa Rica	1,057,695	8,774	0.8%	172.24
South Africa	4,004,555	101,982	2.5%	171.95
Belize	67,630	680	1.0%	171.02
Seychelles	45,692	168	0.4%	170.84
Iran	7,459,175	142,738	1.9%	169.94
Guyana	70,353	1,274	1.8%	161.97
Switzerland	3,994,397	13,938	0.3%	161.05
Namibia	169,253	4,073	2.4%	160.30
Ireland	1,650,791	7,743	0.5%	156.81
Monaco	14,266	61	0.4%	155.44
Lebanon	1,192,687	10,561	0.9%	154.73
Antigua and Barbuda	8,809	144	1.6%	147.05
Jordan	1,720,778	14,090	0.8%	138.09
Netherlands	8,470,047	23,171	0.3%	135.23
Israel	4,610,655	11,483	0.2%	132.67
Albania	320,086	3,568	1.1%	123.98
Eswatini	73,318	1,419	1.9%	122.31
Turkey	16,295,817	99,678	0.6%	118.19
Botswana	325,824	2,774	0.9%	117.96
Denmark	3,296,838	6,829	0.2%	116.99
Canada	4,136,552	43,408	1.0%	113.50
West Bank and Gaza	697,447	5,691	0.8%	111.56
Malaysia	4,724,225	36,066	0.8%	111.43
Honduras	446,454	10,952	2.5%	110.57
Jamaica	147,567	3,216	2.2%	108.61
Guatemala	1,067,606	19,173	1.8%	107.02
Saint Vincent and the Grenadines	9,396	115	1.2%	103.65
Kazakhstan	1,462,380	19,029	1.3%	101.34
Fiji	67,925	875	1.3%	97.61
Finland	1,238,998	5,350	0.4%	96.56
Azerbaijan	803,645	9,768	1.2%	96.34
Cyprus	568,383	1,143	0.2%	94.67
Dominica	14,852	68	0.5%	94.46
Libya	505,956	6,434	1.3%	93.64
Oman	397,231	4,628	1.2%	90.63
Bahrain	665,092	1,512	0.2%	88.86
Saint Kitts and Nevis	6,485	46	0.7%	86.48
Mauritius	248,720	1,015	0.4%	79.81
Sri Lanka	667,573	16,605	2.5%	77.55
Belarus	994,037	7,118	0.7%	75.33
Cuba	1,109,193	8,529	0.8%	75.30
Cabo Verde	62,244	410	0.7%	73.74
Norway	1,457,792	3,834	0.3%	70.72
El Salvador	190,818	4,216	2.2%	65.00
Mongolia	966,423	2,123	0.2%	64.76
Iraq	2,451,178	25,326	1.0%	62.96
Kuwait	655,854	2,562	0.4%	59.99
Indonesia	6,267,137	157,171	2.5%	57.46
Maldives	184,591	307	0.2%	56.79
Philippines	3,818,480	60,916	1.6%	55.59
Iceland	203,162	179	0.1%	52.45
Brunei	215,283	225	0.1%	51.43
Australia	9,760,161	12,739	0.1%	50.04
Korea, South	21,111,840	25,499	0.1%	49.74
Kyrgyzstan	204,671	2,991	1.5%	45.84
Thailand	4,616,512	31,763	0.7%	45.51
Vietnam	11,360,348	43,095	0.4%	44.27
Morocco	1,263,164	16,264	1.3%	44.06
Nepal	992,146	11,982	1.2%	41.12
Dominican Republic	633,689	4,384	0.7%	40.41
Taiwan*	4,824,550	9,342	0.2%	39.22
India	44,223,557	526,928	1.2%	38.18
Zimbabwe	256,513	5,587	2.2%	37.59
New Zealand	1,687,418	1,734	0.1%	35.96
Burma	614,297	19,434	3.2%	35.72
Sao Tome and Principe	6,120	76	1.2%	34.68
Palau	5,308	6	0.1%	33.32
Lesotho	34,206	704	2.1%	32.86
Japan	15,126,145	34,579	0.2%	27.34
Saudi Arabia	811,642	9,265	1.1%	26.61
Singapore	1,773,386	1,546	0.1%	26.43
Egypt	515,645	24,781	4.8%	24.22
United Arab Emirates	1,002,306	2,339	0.2%	23.65
Qatar	417,390	681	0.2%	23.64
Solomon Islands	21,544	153	0.7%	23.44
Zambia	331,568	4,016	1.2%	21.85
Mauritania	62,696	992	1.6%	21.33
Venezuela	539,205	5,770	1.1%	20.29
Afghanistan	188,506	7,755	4.1%	19.92
Djibouti	15,690	189	1.2%	19.13
Comoros	8,351	160	1.9%	18.40
Cambodia	137,138	3,056	2.2%	18.28
Syria	56,670	3,156	5.6%	18.03
Bangladesh	2,008,282	29,310	1.5%	17.80
Micronesia	7,136	19	0.3%	16.69
Algeria	268,718	6,878	2.6%	15.68
Gambia	12,238	368	3.0%	15.23
Samoa	15,405	29	0.2%	14.79
Malawi	87,691	2,672	3.0%	13.97
Pakistan	1,561,579	30,520	2.0%	13.82
Gabon	48,592	306	0.6%	13.75
Equatorial Guinea	16,795	183	1.1%	13.04
Senegal	87,723	1,968	2.2%	11.75
Tonga	13,405	12	0.1%	11.35
Rwanda	132,336	1,466	1.1%	11.32
Sudan	63,128	4,960	7.9%	11.31
Kiribati	3,430	13	0.4%	11.05
Kenya	337,912	5,673	1.7%	10.55
Laos	212,124	757	0.4%	10.40
Timor-Leste	23,072	135	0.6%	10.24
Guinea-Bissau	8,452	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	44,812	663	1.5%	7.41
Haiti	32,577	838	2.6%	7.35
Cameroon	120,215	1,931	1.6%	7.27
Yemen	11,903	2,152	18.1%	7.22
Mozambique	229,836	2,218	1.0%	7.10
Congo (Brazzaville)	24,837	386	1.6%	7.00
Ethiopia	492,667	7,569	1.5%	6.58
Angola	102,636	1,917	1.9%	5.83
Liberia	7,552	294	3.9%	5.81
Madagascar	66,557	1,409	2.1%	5.09
Uzbekistan	243,460	1,637	0.7%	4.89
Vanuatu	11,731	14	0.1%	4.78
Ghana	168,350	1,458	0.9%	4.69
Nicaragua	14,872	244	1.6%	3.68
Mali	31,240	739	2.4%	3.65
Togo	38,236	281	0.7%	3.39
Guinea	37,429	445	1.2%	3.39
Cote d'Ivoire	85,966	815	0.9%	3.09
Eritrea	10,130	103	1.0%	2.90
Bhutan	60,663	21	0.0%	2.72
Central African Republic	14,781	113	0.8%	2.34
Burkina Faso	21,128	387	1.8%	1.85
Sierra Leone	7,740	125	1.6%	1.57
Congo (Kinshasa)	92,456	1,391	1.5%	1.55
Nigeria	262,402	3,147	1.2%	1.53
Tanzania	38,205	841	2.2%	1.41
Benin	27,316	163	0.6%	1.34
Tajikistan	17,786	125	0.7%	1.31
Niger	9,132	311	3.4%	1.28
South Sudan	17,823	138	0.8%	1.23
Chad	7,442	193	2.6%	1.17
China	2,316,346	14,787	0.6%	1.05
Burundi	47,762	38	0.1%	0.32
Korea, North	1	6	600.0%	0.02

About this page:

This page was last updated on Friday, August 12, 2022 at 06:18 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.