Coronavirus COVID-19 Percentage of Population Tracker, By Country

This table tracks coronavirus COVID-19 confirmed cases as a percent of the population for each country.

(This is a ratio of confirmed coronavirus cases to the total population for each country, then multiplied by 100 to convert to percentage.)

Countries are listed in order by those with the highest percentage of the population that has been confirmed with coronavirus.

If you prefer to see a visual, see the bar chart here.

(To see the rate of increase for global COVID-19 cases, see this, or rate of increase for global COVID-19 deaths, see this. Or see coronavirus deaths as a percent of the population, or more coronavirus statistics here.)

See my notes below on why this is a more accurate view of the severity of the coronavirus problem. Or jump down to see the source of this data.

Note: Data as of June 19, 2002.

COVID-19 CASES AS PERCENT OF POPULATION
COUNTRY POPULATION # CASES # CASES AS PERCENT OF POPULATION
Seychelles 88,340 20,593 23.31107 %
Maldives 395,650 82,684 20.89827 %
Montenegro 622,345 121,351 19.49899 %
Andorra 84,000 15,083 17.95595 %
Bahrain 1,569,439 273,622 17.43438 %
San Marino 31,477 5,373 17.06961 %
Czechia 10,625,695 1,682,926 15.83827 %
Kuwait 2,789,132 410,734 14.72623 %
United Arab Emirates 4,975,593 728,266 14.63677 %
Slovenia 2,067,372 275,615 13.33166 %
Israel 8,883,800 1,165,682 13.12143 %
Argentina 41,343,201 5,223,604 12.63474 %
Luxembourg 607,728 76,632 12.60959 %
Jordan 6,407,085 806,012 12.58001 %
Georgia 4,630,000 579,031 12.50607 %
Netherlands 17,231,017 2,005,482 11.63879 %
Sweden 10,183,175 1,138,017 11.17546 %
Uruguay 3,477,000 386,562 11.11769 %
Estonia 1,320,884 146,378 11.08182 %
Panama 4,176,873 462,010 11.06115 %
Serbia 7,344,847 811,909 11.05413 %
Costa Rica 4,516,220 489,784 10.84500 %
Belgium 11,422,068 1,205,516 10.55427 %
Lithuania 2,944,459 307,622 10.44749 %
Portugal 10,281,762 1,054,673 10.25771 %
Oman 2,967,717 302,924 10.20731 %
Colombia 49,648,685 4,928,578 9.92691 %
Cyprus 1,189,265 116,109 9.76309 %
West Bank and Gaza 3,800,000 368,160 9.68842 %
Liechtenstein 35,000 3,376 9.64571 %
Switzerland 8,484,100 808,058 9.52438 %
Croatia 4,089,400 383,108 9.36832 %
Malta 403,000 36,708 9.10868 %
Lebanon 6,848,925 612,713 8.94612 %
North Macedonia 2,082,958 183,059 8.78842 %
Chile 18,729,160 1,643,630 8.77578 %
Kosovo 1,800,000 156,578 8.69878 %
Monaco 38,682 3,275 8.46647 %
Qatar 2,781,677 234,509 8.43049 %
Armenia 2,968,000 248,397 8.36917 %
Mongolia 3,086,918 252,648 8.18447 %
Hungary 9,982,000 814,732 8.16201 %
Austria 8,847,037 708,173 8.00463 %
Ireland 4,853,506 365,313 7.52679 %
Poland 38,500,000 2,893,173 7.51474 %
Slovakia 5,455,000 398,278 7.30115 %
Botswana 2,254,126 163,665 7.26069 %
Paraguay 6,375,830 459,207 7.20231 %
Cabo Verde 508,659 36,519 7.17947 %
Bulgaria 7,000,039 470,835 6.72618 %
Suriname 492,829 33,076 6.71146 %
Bosnia and Herzegovina 3,323,929 220,636 6.63781 %
Latvia 2,217,969 146,800 6.61867 %
Cuba 11,338,138 737,168 6.50167 %
Tunisia 10,589,025 683,700 6.45669 %
Bahamas 301,790 19,335 6.40677 %
Moldova 4,324,000 274,599 6.35058 %
Malaysia 31,528,585 1,960,500 6.21817 %
Denmark 5,797,446 353,364 6.09517 %
Kazakhstan 15,340,000 912,241 5.94681 %
Namibia 2,128,471 126,203 5.92928 %
Saint Lucia 160,922 9,527 5.92026 %
South Africa 49,000,000 2,854,234 5.82497 %
Romania 19,473,936 1,118,549 5.74383 %
Greece 10,727,668 613,838 5.72201 %
Fiji 875,983 48,858 5.57751 %
Belize 314,522 17,405 5.53379 %
Azerbaijan 8,303,512 455,044 5.48014 %
Albania 2,866,376 156,162 5.44806 %
Ukraine 45,415,596 2,416,739 5.32139 %
Belarus 9,685,000 501,166 5.17466 %
Iraq 38,433,600 1,947,211 5.06643 %
Libya 6,461,454 322,487 4.99094 %
Bolivia 11,353,142 494,664 4.35707 %
Canada 37,058,856 1,547,067 4.17462 %
Guatemala 13,550,440 509,654 3.76116 %
Honduras 9,587,522 350,879 3.65975 %
Guyana 779,004 27,782 3.56635 %
Trinidad and Tobago 1,389,858 46,995 3.38128 %
Dominican Republic 10,627,165 353,071 3.32234 %
Eswatini 1,354,051 44,831 3.31088 %
Norway 5,314,336 175,489 3.30218 %
Iceland 353,574 11,234 3.17727 %
Dominica 72,813 2,280 3.13131 %
Kyrgyzstan 5,776,500 177,083 3.06558 %
Ecuador 17,084,357 505,262 2.95745 %
Saint Kitts and Nevis 51,134 1,439 2.81417 %
Nepal 28,951,852 776,325 2.68143 %
Morocco 33,848,242 902,694 2.66689 %
Jamaica 2,934,855 75,297 2.56561 %
Antigua and Barbuda 86,754 2,166 2.49671 %
Finland 5,518,050 132,662 2.40415 %
Saint Vincent and the Grenadines 104,217 2,446 2.34703 %
Sri Lanka 21,513,990 483,280 2.24635 %
Grenada 107,818 2,345 2.17496 %
Saudi Arabia 25,731,776 545,829 2.12123 %
Philippines 106,651,922 2,206,021 2.06843 %
Barbados 285,653 5,844 2.04584 %
Thailand 67,089,500 1,368,144 2.03928 %
Singapore 3,547,809 71,167 2.00594 %
Gabon 1,545,255 26,638 1.72386 %
Indonesia 242,968,342 4,163,732 1.71369 %
Djibouti 740,528 11,845 1.59953 %
Timor-Leste 1,154,625 18,382 1.59203 %
Zambia 13,460,305 207,836 1.54407 %
El Salvador 6,420,744 98,122 1.52820 %
Sao Tome and Principe 197,700 2,814 1.42337 %
Japan 126,529,100 1,634,758 1.29200 %
Venezuela 28,870,195 346,755 1.20108 %
Mauritania 3,205,060 34,771 1.08488 %
Mauritius 1,265,303 13,114 1.03643 %
Equatorial Guinea 1,014,999 10,498 1.03429 %
Brunei 395,027 4,035 1.02145 %
Spain 46,723,749 473,360 1.01310 %
Bangladesh 156,118,464 1,528,542 0.97909 %
Zimbabwe 13,061,000 126,220 0.96639 %
Rwanda 11,055,976 92,025 0.83236 %
Burma 53,414,374 429,880 0.80480 %
Turkey 82,319,724 645,860 0.78458 %
Cambodia 14,453,680 98,842 0.68385 %
Lesotho 2,108,132 14,395 0.68283 %
Mozambique 22,061,451 149,088 0.67579 %
Vietnam 89,571,130 601,349 0.67136 %
Pakistan 184,404,791 1,204,520 0.65319 %
Gambia 1,593,256 9,820 0.61635 %
Kenya 40,046,566 243,456 0.60793 %
Senegal 12,323,252 73,440 0.59595 %
Uzbekistan 27,865,738 163,770 0.58771 %
Iran 81,800,269 475,639 0.58146 %
Algeria 34,586,184 199,822 0.57775 %
Afghanistan 29,121,286 153,962 0.52869 %
South Korea 51,635,256 272,982 0.52867 %
Ghana 24,339,838 122,779 0.50444 %
Comoros 832,322 4,094 0.49188 %
Congo (Brazzaville) 3,039,126 13,701 0.45082 %
Cameroon 19,294,149 84,210 0.43645 %
Angola 13,068,161 50,348 0.38527 %
Guinea-Bissau 1,565,126 6,021 0.38470 %
Bhutan 699,847 2,596 0.37094 %
Ethiopia 88,013,491 322,632 0.36657 %
Egypt 80,471,869 292,476 0.36345 %
Uganda 33,398,682 121,296 0.36318 %
France 66,987,244 242,883 0.36258 %
Togo 6,587,239 23,618 0.35854 %
Malawi 17,563,749 61,098 0.34786 %
Papua New Guinea 6,064,515 18,381 0.30309 %
Australia 24,992,369 73,603 0.29450 %
Guinea 10,324,025 30,001 0.29059 %
Cote d'Ivoire 21,058,798 57,784 0.27439 %
Laos 6,368,162 17,140 0.26915 %
Central African Republic 4,844,927 11,309 0.23342 %
Benin 9,056,010 19,841 0.21909 %
Madagascar 21,281,844 42,894 0.20155 %
Tajikistan 9,100,837 17,442 0.19165 %
Nicaragua 6,465,513 12,350 0.19101 %
Haiti 11,123,176 21,162 0.19025 %
Somalia 10,112,453 18,373 0.18169 %
Liberia 3,685,076 5,727 0.15541 %
South Sudan 8,260,490 11,610 0.14055 %
Syria 22,198,110 29,358 0.13225 %
Nigeria 154,000,000 198,786 0.12908 %
Burundi 11,175,378 14,047 0.12570 %
Eritrea 5,792,984 6,655 0.11488 %
Mali 13,796,354 14,981 0.10859 %
Sudan 35,000,000 37,931 0.10837 %
New Zealand 4,252,277 3,914 0.09204 %
Burkina Faso 16,241,811 13,929 0.08576 %
Sierra Leone 7,650,154 6,379 0.08338 %
Congo (Kinshasa) 70,916,439 56,096 0.07910 %
Italy 60,431,283 44,443 0.07354 %
Taiwan* 22,894,384 16,074 0.07021 %
United Kingdom 66,488,991 33,449 0.05031 %
Chad 10,543,464 5,014 0.04756 %
Niger 15,878,271 5,919 0.03728 %
Yemen 28,498,687 8,358 0.02933 %
Mexico 126,190,788 34,651 0.02746 %
China 1,392,730,000 107,404 0.00771 %
Marshall Islands 58,413 4 0.00685 %
Tanzania 41,892,895 1,367 0.00326 %
Solomon Islands 652,858 20 0.00306 %
India 1,352,617,328 31,293 0.00231 %
Samoa 196,130 3 0.00153 %
Vanuatu 292,680 4 0.00137 %
Micronesia 112,640 1 0.00089 %
USA 327,167,434 336 0.00010 %
Germany 82,927,922 38 0.00005 %
Peru 31,989,256 2 0.00001 %
Russia 144,478,050 6 0.00000 %
Brazil 209,469,333 1 0.00000 %
273,008 0 0.00000 %

Sources:
COVID-19 confirmed case numbers from Johns Hopkins CSSE Novel Coronavirus COVID-19 Data Repository.
Population numbers from GeoNames, retrieved on 28 March 2020.

My Notes

Percentage numbers add some much-needed context to the scary “total numbers” which seem to be the only thing the media focuses on in order to hold viewers’ attention.

I was so tired of hearing the outrage over the USA’s supposed “numbers worse than Italy” regarding coronavirus cases when I know that our population in the USA is so much larger than Italy’s. I made this chart to track the novel coronavirus (COVID-19) cases as a percent of the population for each country. I think this gives a more accurate view of the severity of the problem.

For example, would you rather be in a room where 10 percent of the people have coronavirus, or would you rather be in a room where 40 percent of the people have coronavirus? You may say, “10 percent.” But the media poses things as: would you rather be in a room where 100 people have coronavirus, or where only 4 people have the coronavirus? You may say that you prefer the room with only 4 infected people.

But you can’t know the severity of the problem without knowing the total number of people in the room.

What if the total numbers of the people in the rooms are 1,000 (where 100 are infected), and 10 (where only 4 are infected)? Do the math: the group with only 4 infected people out of 10 means that 40 percent have the coronavirus. The group with 100 infected people out of 1000 means that only 10 percent of the people have it. So the room with only 4 infected people actually has a worse scenario because a higher percentage of its total population in infected.

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We've 15 Responses

  1. August 25th, 2020 at 3:58 pm

    Re: I was so tired of hearing the outrage over the USA’s supposed “numbers worse than Italy”

    But according to your numbers, the USA now has an infection rate 4X higher than Italy. In fact, it has the highest rate among any industrialized countries – aside from San Marino whose small population creates a statistical outlier.

    So, do you feel any outrage is now finally justified?

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    • August 25th, 2020 at 6:57 pm

      The end of the sentence you quoted for context: “..when I know that our population in the USA is so much larger than Italy’s.”

      My point was about using absolute numbers when percentage numbers would’ve given a more precise comparison.

      Back in March 2020, I got tired of hearing that “USA numbers are worse than Italy” because they were specifically comparing absolute numbers. With over 327 million people here, our absolute numbers are expected to be higher. But I wanted to know percentage numbers and I could not find any health agency or news source reporting these percentage numbers so I made this to track it myself. Mainly to gauge how scared I should be. When I completed this tracker in March, my initial results were that our (USA) rate was lower than Italy’s. Not anymore.

      But our death rate still remains lower than in Italy, UK, Sweden and a few others (as of this writing). With the death rate remaining so low in most of the 50 states, I feel less scared. I couldn’t find these death rate numbers anywhere online when I made this back in March.

      To be clear, I was tired of hearing “absolute numbers outrage” not because I was upset at anybody else’s outrage but rather because I wanted these percentage/rate numbers for myself. I have no opinion on whether anyone else’s outrage is justified.

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  2. August 25th, 2020 at 3:59 pm

    As another BTW, thanks for pulling this together. It’s very well done and very helpful. I do agree that total numbers are meaningless w/o some population context.

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  3. September 11th, 2020 at 5:29 pm

    I totally agree with you. The raw numbers mean nothing without comparing to the total population (per country, state, etc.). Thank you SO MUCH for putting this together and sharing it! I really appreciate it! 🙂

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  4. September 24th, 2020 at 11:17 pm

    Hi Isabel.
    Thank you for your work. I love your explanation in your notes about the room with 10 or 100 people with covid. Such an easy explanation to share with people.
    Do you have any statistics on the death rate as a percentage of people who have been diagnosed with covid? ie. % of people who are diagnosed with covid and survive?
    Kind regards.
    Renee

    avatar
  5. November 7th, 2020 at 10:31 am

    Thank you!! I feel the same about the absolute numbers and really just wanted %. Our only real issue at this point, as I see it, is the data on rate of testing. But this is so helpful and makes my nerd heart happy.

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  6. December 4th, 2020 at 11:30 am

    I would love to see some context with age brackets. So as a % of people in certain age brackets. I believe older people are more at risk and it would be helpful to see that in context. Appreciate your data and analysis

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  7. December 24th, 2020 at 4:16 pm

    Thank you for sharing this data. I know intuitively what you put into a much more scientific format… and thus more persuasive. And, yes, the media hype is all the more irritating that they do not likely even understand the numbers. Great example of the 100 in a room of 1,000 or 4 in a room of 10. Excellent. Thank you again.

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  8. July 14th, 2021 at 1:42 pm

    Hiya – great chart. However if you really want to feel a *lot* better, use the mortality rate as opposed to the cases rate, and then parse for “die with Covid” to “died from Covid”

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  9. August 20th, 2021 at 11:55 am

    Numbers are looking a little cooked these days. The US and Brazil have the #1 & #3 highest numbers of total cases yet this shows Brazil has 1 case? Both countries had (or still have) leaders and political factions who are demonstrably anti-science. This is the consequence. Don’t hide it.

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