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 January 19, 2021.

COVID-19 CASES AS PERCENT OF POPULATION
COUNTRY POPULATION # CASES # CASES AS PERCENT OF POPULATION
Andorra 84,000 9,194 10.94524 %
Montenegro 622,345 56,228 9.03486 %
San Marino 31,477 2,803 8.90491 %
Czechia 10,625,695 899,503 8.46536 %
Luxembourg 607,728 48,975 8.05870 %
USA 327,167,434 24,256,028 7.41395 %
Slovenia 2,067,372 151,137 7.31059 %
Panama 4,176,873 301,534 7.21913 %
Liechtenstein 35,000 2,398 6.85143 %
Israel 8,883,800 565,629 6.36697 %
Bahrain 1,569,439 98,260 6.26084 %
Belgium 11,422,068 681,250 5.96433 %
Switzerland 8,484,100 502,191 5.91920 %
Lithuania 2,944,459 168,708 5.72968 %
Kuwait 2,789,132 158,822 5.69432 %
Armenia 2,968,000 164,912 5.55633 %
Croatia 4,089,400 225,648 5.51788 %
Portugal 10,281,762 566,958 5.51421 %
Netherlands 17,231,017 934,503 5.42338 %
Georgia 4,630,000 249,465 5.38801 %
Qatar 2,781,677 147,729 5.31079 %
Sweden 10,183,175 533,265 5.23673 %
United Arab Emirates 4,975,593 260,223 5.22999 %
United Kingdom 66,488,991 3,476,804 5.22914 %
Serbia 7,344,847 375,799 5.11650 %
Spain 46,723,749 2,370,742 5.07396 %
Jordan 6,407,085 316,427 4.93870 %
Austria 8,847,037 396,425 4.48088 %
France 66,987,244 2,996,784 4.47366 %
Oman 2,967,717 132,146 4.45278 %
Argentina 41,343,201 1,819,569 4.40113 %
North Macedonia 2,082,958 89,392 4.29159 %
Slovakia 5,455,000 226,294 4.14838 %
Costa Rica 4,516,220 186,877 4.13791 %
Brazil 209,469,333 8,573,864 4.09314 %
West Bank and Gaza 3,800,000 153,093 4.02876 %
Italy 60,431,283 2,400,598 3.97244 %
Malta 403,000 15,942 3.95583 %
Colombia 49,648,685 1,939,071 3.90558 %
Lebanon 6,848,925 260,315 3.80082 %
Poland 38,500,000 1,443,804 3.75014 %
Maldives 395,650 14,633 3.69847 %
Belize 314,522 11,615 3.69291 %
Ireland 4,853,506 176,839 3.64353 %
Chile 18,729,160 677,151 3.61549 %
Romania 19,473,936 697,898 3.58375 %
Bosnia and Herzegovina 3,323,929 118,383 3.56154 %
Moldova 4,324,000 153,506 3.55009 %
Hungary 9,982,000 353,276 3.53913 %
Peru 31,989,256 1,060,567 3.31539 %
Denmark 5,797,446 191,299 3.29971 %
Monaco 38,682 1,240 3.20563 %
Kosovo 1,800,000 56,118 3.11767 %
Bulgaria 7,000,039 212,927 3.04180 %
Turkey 82,319,724 2,399,781 2.91520 %
Estonia 1,320,884 37,941 2.87239 %
South Africa 49,000,000 1,356,716 2.76881 %
Azerbaijan 8,303,512 227,696 2.74217 %
Bahamas 301,790 8,068 2.67338 %
Ukraine 45,415,596 1,206,125 2.65575 %
Cabo Verde 508,659 13,139 2.58307 %
Latvia 2,217,969 56,720 2.55729 %
Germany 82,927,922 2,071,615 2.49809 %
Russia 144,478,050 3,574,330 2.47396 %
Cyprus 1,189,265 29,294 2.46320 %
Albania 2,866,376 68,568 2.39215 %
Belarus 9,685,000 228,716 2.36155 %
Canada 37,058,856 724,629 1.95535 %
Paraguay 6,375,830 123,359 1.93479 %
Dominican Republic 10,627,165 196,591 1.84989 %
Tunisia 10,589,025 184,483 1.74221 %
Libya 6,461,454 110,465 1.70960 %
Iceland 353,574 5,970 1.68847 %
Bolivia 11,353,142 191,090 1.68315 %
Singapore 3,547,809 59,157 1.66742 %
Iran 81,800,269 1,342,134 1.64075 %
Iraq 38,433,600 609,852 1.58677 %
Suriname 492,829 7,709 1.56423 %
Namibia 2,128,471 30,995 1.45621 %
Kyrgyzstan 5,776,500 83,430 1.44430 %
Kazakhstan 15,340,000 218,216 1.42253 %
Saudi Arabia 25,731,776 365,325 1.41974 %
Honduras 9,587,522 136,068 1.41922 %
Greece 10,727,668 149,462 1.39324 %
Morocco 33,848,242 461,390 1.36311 %
Ecuador 17,084,357 232,568 1.36129 %
Mexico 126,190,788 1,668,396 1.32212 %
Norway 5,314,336 59,456 1.11879 %
Guatemala 13,550,440 150,277 1.10902 %
Eswatini 1,354,051 13,443 0.99280 %
Uruguay 3,477,000 33,446 0.96192 %
Nepal 28,951,852 267,992 0.92565 %
Guyana 779,004 6,950 0.89216 %
Seychelles 88,340 746 0.84446 %
Botswana 2,254,126 18,630 0.82648 %
El Salvador 6,420,744 51,437 0.80111 %
Djibouti 740,528 5,910 0.79808 %
India 1,352,617,328 10,595,639 0.78334 %
Finland 5,518,050 40,722 0.73798 %
Gabon 1,545,255 10,019 0.64837 %
Sao Tome and Principe 197,700 1,151 0.58220 %
Saint Vincent and the Grenadines 104,217 602 0.57764 %
Trinidad and Tobago 1,389,858 7,415 0.53351 %
Equatorial Guinea 1,014,999 5,365 0.52857 %
Malaysia 31,528,585 165,371 0.52451 %
Mauritania 3,205,060 16,147 0.50380 %
Jamaica 2,934,855 14,419 0.49130 %
Philippines 106,651,922 504,084 0.47264 %
Venezuela 28,870,195 121,117 0.41952 %
Saint Lucia 160,922 656 0.40765 %
Barbados 285,653 1,095 0.38333 %
Indonesia 242,968,342 927,380 0.38169 %
Bangladesh 156,118,464 529,031 0.33887 %
Lesotho 2,108,132 7,018 0.33290 %
Algeria 34,586,184 104,341 0.30168 %
Zambia 13,460,305 39,515 0.29357 %
Pakistan 184,404,791 524,783 0.28458 %
Uzbekistan 27,865,738 78,091 0.28024 %
Japan 126,529,100 340,989 0.26949 %
Congo (Brazzaville) 3,039,126 7,709 0.25366 %
Burma 53,414,374 135,243 0.25320 %
Sri Lanka 21,513,990 54,419 0.25295 %
Kenya 40,046,566 99,308 0.24798 %
Gambia 1,593,256 3,938 0.24717 %
Ghana 24,339,838 58,431 0.24006 %
Comoros 832,322 1,864 0.22395 %
Zimbabwe 13,061,000 28,675 0.21955 %
Antigua and Barbuda 86,754 190 0.21901 %
Egypt 80,471,869 158,174 0.19656 %
Senegal 12,323,252 23,392 0.18982 %
Afghanistan 29,121,286 54,141 0.18592 %
Cuba 11,338,138 18,773 0.16557 %
Guinea-Bissau 1,565,126 2,510 0.16037 %
Dominica 72,813 110 0.15107 %
Ethiopia 88,013,491 131,727 0.14967 %
Tajikistan 9,100,837 13,308 0.14623 %
Angola 13,068,161 19,011 0.14548 %
Cameroon 19,294,149 28,010 0.14517 %
South Korea 51,635,256 73,518 0.14238 %
Guinea 10,324,025 14,207 0.13761 %
Grenada 107,818 139 0.12892 %
Mozambique 22,061,451 28,270 0.12814 %
Bhutan 699,847 848 0.12117 %
Cote d'Ivoire 21,058,798 25,383 0.12053 %
Uganda 33,398,682 38,534 0.11538 %
Australia 24,992,369 28,740 0.11500 %
Rwanda 11,055,976 11,548 0.10445 %
Central African Republic 4,844,927 4,973 0.10264 %
Haiti 11,123,176 10,907 0.09806 %
Nicaragua 6,465,513 6,204 0.09596 %
Madagascar 21,281,844 18,301 0.08599 %
Malawi 17,563,749 13,880 0.07903 %
Sudan 35,000,000 26,279 0.07508 %
Nigeria 154,000,000 113,305 0.07357 %
Saint Kitts and Nevis 51,134 35 0.06845 %
Togo 6,587,239 4,383 0.06654 %
Syria 22,198,110 13,224 0.05957 %
Burkina Faso 16,241,811 9,352 0.05758 %
Mali 13,796,354 7,880 0.05712 %
New Zealand 4,252,277 2,267 0.05331 %
Liberia 3,685,076 1,898 0.05151 %
Mongolia 3,086,918 1,568 0.05080 %
Somalia 10,112,453 4,744 0.04691 %
South Sudan 8,260,490 3,762 0.04554 %
Brunei 395,027 174 0.04405 %
Mauritius 1,265,303 556 0.04394 %
Sierra Leone 7,650,154 3,030 0.03961 %
Benin 9,056,010 3,413 0.03769 %
Eritrea 5,792,984 1,877 0.03240 %
Congo (Kinshasa) 70,916,439 21,140 0.02981 %
Chad 10,543,464 2,977 0.02824 %
Niger 15,878,271 4,225 0.02661 %
Thailand 67,089,500 12,653 0.01886 %
Papua New Guinea 6,064,515 834 0.01375 %
Burundi 11,175,378 1,253 0.01121 %
Yemen 28,498,687 2,115 0.00742 %
China 1,392,730,000 98,323 0.00706 %
Marshall Islands 58,413 4 0.00685 %
Fiji 875,983 55 0.00628 %
Timor-Leste 1,154,625 52 0.00450 %
Taiwan* 22,894,384 868 0.00379 %
Cambodia 14,453,680 448 0.00310 %
Solomon Islands 652,858 17 0.00260 %
Vietnam 89,571,130 1,540 0.00172 %
Tanzania 41,892,895 509 0.00122 %
Samoa 196,130 2 0.00102 %
Laos 6,368,162 41 0.00064 %
Vanuatu 292,680 1 0.00034 %
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 10 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

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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.

    avatar

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