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 May 9, 2021.

COVID-19 CASES AS PERCENT OF POPULATION
COUNTRY POPULATION # CASES # CASES AS PERCENT OF POPULATION
San Marino 31,477 5,067 16.09747 %
Andorra 84,000 13,423 15.97976 %
Montenegro 622,345 98,303 15.79558 %
Czechia 10,625,695 1,645,061 15.48191 %
Bahrain 1,569,439 189,356 12.06520 %
Slovenia 2,067,372 246,082 11.90313 %
Jordan 6,407,085 719,233 11.22559 %
Luxembourg 607,728 68,153 11.21439 %
United Arab Emirates 4,975,593 536,017 10.77293 %
Kuwait 2,789,132 285,068 10.22067 %
USA 327,167,434 32,707,750 9.99725 %
Sweden 10,183,175 1,007,792 9.89664 %
Serbia 7,344,847 700,408 9.53605 %
Estonia 1,320,884 125,126 9.47290 %
Israel 8,883,800 838,894 9.44296 %
Netherlands 17,231,017 1,586,868 9.20937 %
Maldives 395,650 35,815 9.05219 %
Belgium 11,422,068 1,016,609 8.90039 %
Panama 4,176,873 367,656 8.80218 %
Lithuania 2,944,459 257,827 8.75635 %
France 66,987,244 5,838,294 8.71553 %
Liechtenstein 35,000 2,970 8.48571 %
Croatia 4,089,400 344,494 8.42407 %
Portugal 10,281,762 839,582 8.16574 %
West Bank and Gaza 3,800,000 301,751 7.94082 %
Hungary 9,982,000 791,709 7.93137 %
Switzerland 8,484,100 670,613 7.90435 %
Lebanon 6,848,925 532,839 7.77989 %
Spain 46,723,749 3,567,408 7.63511 %
Argentina 41,343,201 3,147,740 7.61368 %
Qatar 2,781,677 210,992 7.58506 %
Malta 403,000 30,447 7.55509 %
North Macedonia 2,082,958 154,026 7.39458 %
Armenia 2,968,000 219,270 7.38780 %
Poland 38,500,000 2,833,052 7.35858 %
Brazil 209,469,333 15,184,790 7.24917 %
Seychelles 88,340 6,373 7.21417 %
Austria 8,847,037 631,076 7.13319 %
Slovakia 5,455,000 385,475 7.06645 %
Georgia 4,630,000 321,919 6.95289 %
Italy 60,431,283 4,111,210 6.80312 %
Oman 2,967,717 201,350 6.78468 %
United Kingdom 66,488,991 4,450,578 6.69371 %
Chile 18,729,160 1,247,469 6.66057 %
Monaco 38,682 2,479 6.40867 %
Uruguay 3,477,000 220,683 6.34694 %
Turkey 82,319,724 5,031,332 6.11194 %
Colombia 49,648,685 3,002,758 6.04801 %
Bosnia and Herzegovina 3,323,929 200,693 6.03782 %
Costa Rica 4,516,220 265,486 5.87850 %
Kosovo 1,800,000 105,784 5.87689 %
Bulgaria 7,000,039 410,202 5.86000 %
Moldova 4,324,000 252,749 5.84526 %
Cyprus 1,189,265 69,432 5.83823 %
Peru 31,989,256 1,850,290 5.78410 %
Latvia 2,217,969 123,963 5.58903 %
Romania 19,473,936 1,066,111 5.47455 %
Ireland 4,853,506 252,809 5.20879 %
Cabo Verde 508,659 26,441 5.19818 %
Ukraine 45,415,596 2,175,151 4.78944 %
Paraguay 6,375,830 297,789 4.67059 %
Albania 2,866,376 131,723 4.59545 %
Denmark 5,797,446 259,755 4.48051 %
Germany 82,927,922 3,530,887 4.25778 %
Belize 314,522 12,686 4.03342 %
Azerbaijan 8,303,512 326,716 3.93467 %
Belarus 9,685,000 368,888 3.80886 %
Bahamas 301,790 10,773 3.56970 %
Canada 37,058,856 1,293,625 3.49073 %
Greece 10,727,668 362,004 3.37449 %
Russia 144,478,050 4,824,621 3.33935 %
South Africa 49,000,000 1,596,595 3.25836 %
Iran 81,800,269 2,654,811 3.24548 %
Tunisia 10,589,025 320,813 3.02967 %
Iraq 38,433,600 1,112,725 2.89519 %
Saint Lucia 160,922 4,654 2.89208 %
Bolivia 11,353,142 317,547 2.79700 %
Libya 6,461,454 179,970 2.78529 %
Kazakhstan 15,340,000 398,272 2.59630 %
Dominican Republic 10,627,165 271,548 2.55523 %
Namibia 2,128,471 50,070 2.35239 %
Ecuador 17,084,357 400,296 2.34306 %
Honduras 9,587,522 219,288 2.28722 %
Suriname 492,829 11,112 2.25474 %
Norway 5,314,336 116,365 2.18964 %
Botswana 2,254,126 48,417 2.14793 %
Mexico 126,190,788 2,365,792 1.87477 %
Guyana 779,004 14,362 1.84364 %
Iceland 353,574 6,506 1.84007 %
Saint Vincent and the Grenadines 104,217 1,912 1.83463 %
Guatemala 13,550,440 235,098 1.73498 %
Singapore 3,547,809 61,359 1.72949 %
Kyrgyzstan 5,776,500 98,400 1.70345 %
India 1,352,617,328 22,662,575 1.67546 %
Saudi Arabia 25,731,776 426,384 1.65703 %
Finland 5,518,050 88,723 1.60787 %
Jamaica 2,934,855 46,708 1.59149 %
Djibouti 740,528 11,335 1.53066 %
Morocco 33,848,242 513,864 1.51814 %
Gabon 1,545,255 23,432 1.51638 %
Mongolia 3,086,918 45,459 1.47263 %
Antigua and Barbuda 86,754 1,231 1.41895 %
Malaysia 31,528,585 440,677 1.39771 %
Barbados 285,653 3,942 1.38000 %
Eswatini 1,354,051 18,480 1.36479 %
Nepal 28,951,852 394,667 1.36318 %
Sao Tome and Principe 197,700 2,318 1.17248 %
El Salvador 6,420,744 70,380 1.09613 %
Philippines 106,651,922 1,101,990 1.03326 %
Cuba 11,338,138 115,981 1.02293 %
Trinidad and Tobago 1,389,858 13,355 0.96089 %
Equatorial Guinea 1,014,999 7,694 0.75803 %
Venezuela 28,870,195 207,870 0.72002 %
Indonesia 242,968,342 1,713,684 0.70531 %
Zambia 13,460,305 92,092 0.68417 %
Sri Lanka 21,513,990 125,906 0.58523 %
Mauritania 3,205,060 18,667 0.58242 %
Lesotho 2,108,132 10,773 0.51102 %
Japan 126,529,100 642,146 0.50751 %
Bangladesh 156,118,464 773,513 0.49547 %
Pakistan 184,404,791 858,026 0.46529 %
Comoros 832,322 3,854 0.46304 %
Kenya 40,046,566 163,554 0.40841 %
Cameroon 19,294,149 74,946 0.38844 %
Ghana 24,339,838 92,951 0.38189 %
Gambia 1,593,256 5,929 0.37213 %
Congo (Brazzaville) 3,039,126 11,147 0.36678 %
Algeria 34,586,184 124,104 0.35883 %
Uzbekistan 27,865,738 94,397 0.33876 %
Senegal 12,323,252 40,692 0.33021 %
Mozambique 22,061,451 70,212 0.31826 %
Ethiopia 88,013,491 262,702 0.29848 %
Egypt 80,471,869 237,410 0.29502 %
Zimbabwe 13,061,000 38,419 0.29415 %
Timor-Leste 1,154,625 3,227 0.27948 %
Burma 53,414,374 142,947 0.26762 %
South Korea 51,635,256 127,772 0.24745 %
Dominica 72,813 175 0.24034 %
Guinea-Bissau 1,565,126 3,741 0.23902 %
Rwanda 11,055,976 25,652 0.23202 %
Cote d'Ivoire 21,058,798 46,442 0.22053 %
Angola 13,068,161 28,740 0.21992 %
Guinea 10,324,025 22,633 0.21923 %
Afghanistan 29,121,286 61,842 0.21236 %
Togo 6,587,239 13,154 0.19969 %
Malawi 17,563,749 34,171 0.19455 %
Papua New Guinea 6,064,515 11,630 0.19177 %
Madagascar 21,281,844 39,012 0.18331 %
Bhutan 699,847 1,221 0.17447 %
Grenada 107,818 160 0.14840 %
Tajikistan 9,100,837 13,308 0.14623 %
Somalia 10,112,453 14,415 0.14255 %
Central African Republic 4,844,927 6,674 0.13775 %
Cambodia 14,453,680 19,237 0.13309 %
South Sudan 8,260,490 10,637 0.12877 %
Uganda 33,398,682 42,355 0.12682 %
Thailand 67,089,500 83,375 0.12427 %
Australia 24,992,369 29,931 0.11976 %
Haiti 11,123,176 13,164 0.11835 %
Nicaragua 6,465,513 6,989 0.10810 %
Nigeria 154,000,000 165,419 0.10741 %
Syria 22,198,110 23,379 0.10532 %
Mali 13,796,354 14,108 0.10226 %
Mauritius 1,265,303 1,246 0.09847 %
Sudan 35,000,000 34,461 0.09846 %
Saint Kitts and Nevis 51,134 45 0.08800 %
Benin 9,056,010 7,884 0.08706 %
Burkina Faso 16,241,811 13,379 0.08237 %
Eritrea 5,792,984 3,742 0.06460 %
New Zealand 4,252,277 2,644 0.06218 %
Brunei 395,027 230 0.05822 %
Liberia 3,685,076 2,114 0.05737 %
Sierra Leone 7,650,154 4,068 0.05318 %
Chad 10,543,464 4,877 0.04626 %
Congo (Kinshasa) 70,916,439 30,323 0.04276 %
Burundi 11,175,378 4,177 0.03738 %
Niger 15,878,271 5,319 0.03350 %
Yemen 28,498,687 6,482 0.02274 %
Laos 6,368,162 1,302 0.02045 %
Fiji 875,983 139 0.01587 %
China 1,392,730,000 102,625 0.00737 %
Marshall Islands 58,413 4 0.00685 %
Taiwan* 22,894,384 1,184 0.00517 %
Vietnam 89,571,130 3,412 0.00381 %
Solomon Islands 652,858 20 0.00306 %
Samoa 196,130 3 0.00153 %
Vanuatu 292,680 4 0.00137 %
Tanzania 41,892,895 509 0.00122 %
Micronesia 112,640 1 0.00089 %
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 12 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?

    avatar
    • 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.

      avatar
  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.

    avatar
  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.

    avatar

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