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 83,248 21.04082 %
Montenegro 622,345 124,485 20.00257 %
Andorra 84,000 15,113 17.99167 %
Bahrain 1,569,439 274,041 17.46108 %
San Marino 31,477 5,408 17.18080 %
Czechia 10,625,695 1,684,881 15.85667 %
Kuwait 2,789,132 411,018 14.73641 %
United Arab Emirates 4,975,593 731,307 14.69789 %
Israel 8,883,800 1,208,403 13.60232 %
Slovenia 2,067,372 280,544 13.57008 %
Georgia 4,630,000 589,727 12.73708 %
Luxembourg 607,728 77,098 12.68627 %
Jordan 6,407,085 811,463 12.66509 %
Netherlands 17,231,017 2,016,225 11.70114 %
Serbia 7,344,847 846,114 11.51983 %
Estonia 1,320,884 148,391 11.23422 %
Sweden 10,183,175 1,143,973 11.23395 %
Uruguay 3,477,000 387,299 11.13888 %
Costa Rica 4,516,220 502,362 11.12351 %
Panama 4,176,873 463,459 11.09584 %
Belgium 11,422,068 1,217,473 10.65895 %
Lithuania 2,944,459 312,481 10.61251 %
Portugal 10,281,762 1,059,409 10.30377 %
Oman 2,967,717 303,309 10.22028 %
West Bank and Gaza 3,800,000 379,635 9.99039 %
Colombia 49,648,685 4,928,578 9.92691 %
Cyprus 1,189,265 116,494 9.79546 %
Liechtenstein 35,000 3,394 9.69714 %
Switzerland 8,484,100 820,982 9.67671 %
Croatia 4,089,400 388,260 9.49430 %
Malta 403,000 36,900 9.15633 %
Lebanon 6,848,925 616,179 8.99673 %
North Macedonia 2,082,958 185,450 8.90320 %
Kosovo 1,800,000 158,396 8.79978 %
Chile 18,729,160 1,645,820 8.78747 %
Mongolia 3,086,918 266,680 8.63904 %
Monaco 38,682 3,288 8.50008 %
Armenia 2,968,000 251,323 8.46776 %
Qatar 2,781,677 235,187 8.45486 %
Hungary 9,982,000 816,680 8.18153 %
Austria 8,847,037 718,091 8.11674 %
Ireland 4,853,506 371,301 7.65016 %
Botswana 2,254,126 172,252 7.64163 %
Poland 38,500,000 2,895,947 7.52194 %
Slovakia 5,455,000 400,348 7.33910 %
Suriname 492,829 35,817 7.26763 %
Cabo Verde 508,659 36,891 7.25260 %
Paraguay 6,375,830 459,524 7.20728 %
Cuba 11,338,138 776,125 6.84526 %
Bulgaria 7,000,039 478,885 6.84118 %
Bosnia and Herzegovina 3,323,929 224,862 6.76495 %
Latvia 2,217,969 149,081 6.72151 %
Tunisia 10,589,025 697,421 6.58626 %
Bahamas 301,790 19,795 6.55920 %
Malaysia 31,528,585 2,049,750 6.50124 %
Moldova 4,324,000 279,143 6.45567 %
Saint Lucia 160,922 10,217 6.34904 %
Denmark 5,797,446 355,235 6.12744 %
Kazakhstan 15,340,000 928,341 6.05177 %
Namibia 2,128,471 126,537 5.94497 %
South Africa 49,000,000 2,873,415 5.86411 %
Belize 314,522 18,334 5.82916 %
Romania 19,473,936 1,135,027 5.82844 %
Greece 10,727,668 625,083 5.82683 %
Fiji 875,983 49,587 5.66073 %
Azerbaijan 8,303,512 467,173 5.62621 %
Albania 2,866,376 160,365 5.59470 %
Ukraine 45,415,596 2,435,404 5.36248 %
Belarus 9,685,000 510,481 5.27084 %
Iraq 38,433,600 1,967,187 5.11840 %
Libya 6,461,454 328,856 5.08950 %
Bolivia 11,353,142 496,032 4.36912 %
Canada 37,058,856 1,572,228 4.24252 %
Guatemala 13,550,440 521,093 3.84558 %
Dominica 72,813 2,758 3.78779 %
Honduras 9,587,522 354,970 3.70242 %
Guyana 779,004 28,831 3.70101 %
Trinidad and Tobago 1,389,858 47,925 3.44819 %
Norway 5,314,336 180,432 3.39519 %
Eswatini 1,354,051 45,274 3.34360 %
Dominican Republic 10,627,165 354,443 3.33525 %
Iceland 353,574 11,377 3.21771 %
Saint Kitts and Nevis 51,134 1,589 3.10752 %
Kyrgyzstan 5,776,500 177,484 3.07252 %
Grenada 107,818 3,262 3.02547 %
Ecuador 17,084,357 505,860 2.96095 %
Nepal 28,951,852 781,989 2.70100 %
Morocco 33,848,242 913,423 2.69858 %
Jamaica 2,934,855 77,989 2.65734 %
Antigua and Barbuda 86,754 2,304 2.65579 %
Saint Vincent and the Grenadines 104,217 2,613 2.50727 %
Finland 5,518,050 135,314 2.45221 %
Sri Lanka 21,513,990 498,694 2.31800 %
Barbados 285,653 6,248 2.18727 %
Philippines 106,651,922 2,304,192 2.16048 %
Thailand 67,089,500 1,434,237 2.13780 %
Saudi Arabia 25,731,776 546,336 2.12320 %
Singapore 3,547,809 74,848 2.10970 %
Gabon 1,545,255 27,291 1.76612 %
Indonesia 242,968,342 4,181,309 1.72093 %
Timor-Leste 1,154,625 18,856 1.63308 %
Djibouti 740,528 11,960 1.61506 %
El Salvador 6,420,744 99,701 1.55280 %
Zambia 13,460,305 208,267 1.54727 %
Sao Tome and Principe 197,700 2,984 1.50936 %
Japan 126,529,100 1,663,818 1.31497 %
Venezuela 28,870,195 350,795 1.21508 %
Brunei 395,027 4,675 1.18346 %
Mauritius 1,265,303 14,073 1.11222 %
Mauritania 3,205,060 35,212 1.09864 %
Equatorial Guinea 1,014,999 11,063 1.08995 %
Spain 46,723,749 473,360 1.01310 %
Bangladesh 156,118,464 1,538,203 0.98528 %
Zimbabwe 13,061,000 127,368 0.97518 %
Rwanda 11,055,976 94,478 0.85454 %
Burma 53,414,374 440,741 0.82514 %
Turkey 82,319,724 645,860 0.78458 %
Vietnam 89,571,130 656,129 0.73252 %
Cambodia 14,453,680 102,136 0.70664 %
Lesotho 2,108,132 14,395 0.68283 %
Mozambique 22,061,451 149,804 0.67903 %
Pakistan 184,404,791 1,218,749 0.66091 %
Gambia 1,593,256 9,867 0.61930 %
Kenya 40,046,566 245,337 0.61263 %
Uzbekistan 27,865,738 166,644 0.59802 %
Senegal 12,323,252 73,562 0.59694 %
Iran 81,800,269 475,639 0.58146 %
Algeria 34,586,184 200,989 0.58113 %
South Korea 51,635,256 281,938 0.54602 %
Afghanistan 29,121,286 154,361 0.53006 %
Ghana 24,339,838 123,874 0.50894 %
Comoros 832,322 4,101 0.49272 %
Congo (Brazzaville) 3,039,126 13,701 0.45082 %
Cameroon 19,294,149 85,414 0.44269 %
Angola 13,068,161 51,827 0.39659 %
Guinea-Bissau 1,565,126 6,053 0.38674 %
France 66,987,244 250,292 0.37364 %
Ethiopia 88,013,491 328,735 0.37351 %
Bhutan 699,847 2,596 0.37094 %
Egypt 80,471,869 295,051 0.36665 %
Togo 6,587,239 24,093 0.36575 %
Uganda 33,398,682 121,784 0.36464 %
Malawi 17,563,749 61,250 0.34873 %
Australia 24,992,369 82,200 0.32890 %
Papua New Guinea 6,064,515 18,542 0.30575 %
Guinea 10,324,025 30,136 0.29190 %
Laos 6,368,162 18,059 0.28358 %
Cote d'Ivoire 21,058,798 58,531 0.27794 %
Benin 9,056,010 21,450 0.23686 %
Central African Republic 4,844,927 11,309 0.23342 %
Madagascar 21,281,844 42,898 0.20157 %
Nicaragua 6,465,513 13,025 0.20145 %
Tajikistan 9,100,837 17,484 0.19211 %
Haiti 11,123,176 21,318 0.19165 %
Somalia 10,112,453 18,820 0.18611 %
Liberia 3,685,076 5,727 0.15541 %
South Sudan 8,260,490 11,790 0.14273 %
Syria 22,198,110 30,153 0.13584 %
Nigeria 154,000,000 200,356 0.13010 %
Burundi 11,175,378 14,189 0.12697 %
Eritrea 5,792,984 6,667 0.11509 %
Mali 13,796,354 15,020 0.10887 %
Sudan 35,000,000 37,995 0.10856 %
New Zealand 4,252,277 4,015 0.09442 %
Burkina Faso 16,241,811 13,984 0.08610 %
Sierra Leone 7,650,154 6,388 0.08350 %
Congo (Kinshasa) 70,916,439 56,357 0.07947 %
Italy 60,431,283 44,443 0.07354 %
Taiwan* 22,894,384 16,115 0.07039 %
United Kingdom 66,488,991 34,442 0.05180 %
Chad 10,543,464 5,021 0.04762 %
Niger 15,878,271 5,947 0.03745 %
Yemen 28,498,687 8,557 0.03003 %
Mexico 126,190,788 34,651 0.02746 %
Argentina 41,343,201 5,226 0.01264 %
China 1,392,730,000 107,789 0.00774 %
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

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  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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