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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.

(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.

Note: Data as of July 13, 2020.

COVID-19 CASES AS PERCENT OF POPULATION
COUNTRY POPULATION # CASES # CASES AS PERCENT OF POPULATION
Qatar 2,781,677 104,016 3.73933 %
San Marino 31,477 699 2.22067 %
Bahrain 1,569,439 33,476 2.13299 %
Kuwait 2,789,132 55,508 1.99015 %
Oman 2,967,717 58,179 1.96040 %
Chile 16,746,491 317,657 1.89686 %
Singapore 3,547,809 46,283 1.30455 %
Panama 4,176,873 47,173 1.12939 %
United Arab Emirates 4,975,593 55,198 1.10938 %
Armenia 2,968,000 32,151 1.08325 %
Peru 31,989,256 330,123 1.03198 %
USA 327,167,434 3,363,056 1.02793 %
Andorra 84,000 858 1.02143 %
Saudi Arabia 25,731,776 235,111 0.91370 %
Brazil 209,469,333 1,884,967 0.89988 %
Luxembourg 607,728 4,956 0.81550 %
Sweden 10,183,175 75,826 0.74462 %
Maldives 395,650 2,762 0.69809 %
Belarus 9,685,000 65,114 0.67232 %
Djibouti 740,528 4,977 0.67209 %
South Africa 49,000,000 287,796 0.58734 %
Belgium 11,422,068 62,707 0.54900 %
Spain 46,723,749 255,953 0.54780 %
Iceland 353,574 1,900 0.53737 %
Ireland 4,853,506 25,638 0.52824 %
Russia 144,478,050 732,547 0.50703 %
Bolivia 9,947,418 49,250 0.49510 %
Israel 8,883,800 40,632 0.45737 %
Portugal 10,281,762 46,818 0.45535 %
Moldova 4,324,000 19,439 0.44956 %
United Kingdom 66,488,991 291,691 0.43871 %
Dominican Republic 10,627,165 45,506 0.42820 %
Kazakhstan 15,340,000 61,755 0.40257 %
Italy 60,431,283 243,230 0.40249 %
Ecuador 17,084,357 68,459 0.40071 %
North Macedonia 2,082,958 8,197 0.39353 %
Gabon 1,545,255 6,026 0.38997 %
Switzerland 8,484,100 32,946 0.38833 %
Sao Tome and Principe 197,700 732 0.37026 %
Cabo Verde 508,659 1,698 0.33382 %
Iran 81,800,269 259,652 0.31742 %
France 66,987,244 209,640 0.31296 %
Colombia 49,648,685 150,445 0.30302 %
Equatorial Guinea 1,014,999 3,071 0.30256 %
Honduras 9,587,522 28,579 0.29809 %
Netherlands 17,231,017 51,308 0.29777 %
Canada 37,058,856 109,984 0.29678 %
Azerbaijan 8,303,512 24,570 0.29590 %
Kosovo 1,800,000 5,118 0.28433 %
Monaco 38,682 109 0.28178 %
Turkey 82,319,724 214,001 0.25996 %
Serbia 7,344,847 18,639 0.25377 %
Argentina 41,343,201 103,265 0.24978 %
Germany 82,927,922 200,180 0.24139 %
Mexico 126,190,788 304,435 0.24125 %
Liechtenstein 35,000 84 0.24000 %
Denmark 5,797,446 13,238 0.22834 %
Guatemala 13,550,440 29,742 0.21949 %
Austria 8,847,037 18,948 0.21417 %
Bosnia and Herzegovina 3,323,929 6,981 0.21002 %
Iraq 38,433,600 79,735 0.20746 %
Montenegro 622,345 1,287 0.20680 %
Kyrgyzstan 5,776,500 11,444 0.19811 %
Costa Rica 4,516,220 8,036 0.17794 %
West Bank and Gaza 3,800,000 6,566 0.17279 %
Mauritania 3,205,060 5,446 0.16992 %
Romania 19,473,936 32,948 0.16919 %
Norway 5,314,336 8,984 0.16905 %
Malta 403,000 674 0.16725 %
Suriname 492,829 780 0.15827 %
El Salvador 6,420,744 9,978 0.15540 %
Estonia 1,320,884 2,014 0.15247 %
Pakistan 184,404,791 253,604 0.13753 %
Finland 5,518,050 7,295 0.13220 %
Albania 2,866,376 3,571 0.12458 %
Czechia 10,625,695 13,238 0.12458 %
Ukraine 45,415,596 55,285 0.12173 %
Bangladesh 156,118,464 186,894 0.11971 %
Afghanistan 29,121,286 34,455 0.11832 %
Guinea-Bissau 1,565,126 1,842 0.11769 %
Seychelles 88,340 100 0.11320 %
Bulgaria 7,000,039 7,411 0.10587 %
Egypt 80,471,869 83,001 0.10314 %
Ghana 24,339,838 24,988 0.10266 %
Eswatini 1,354,051 1,389 0.10258 %
Poland 38,500,000 38,190 0.09919 %
Croatia 4,089,400 3,775 0.09231 %
Slovenia 2,067,372 1,849 0.08944 %
Central African Republic 4,844,927 4,321 0.08919 %
Cyprus 1,189,265 1,022 0.08594 %
Antigua and Barbuda 86,754 74 0.08530 %
Cameroon 19,294,149 15,173 0.07864 %
India 1,352,617,328 906,752 0.06704 %
Congo (Brazzaville) 3,039,126 2,028 0.06673 %
Senegal 12,323,252 8,198 0.06652 %
Lithuania 2,944,459 1,874 0.06364 %
Cote d'Ivoire 21,058,798 12,872 0.06112 %
Haiti 11,123,176 6,727 0.06048 %
Guinea 10,324,025 6,141 0.05948 %
Nepal 28,951,852 16,945 0.05853 %
Algeria 34,586,184 19,689 0.05693 %
Philippines 106,651,922 57,006 0.05345 %
Latvia 2,217,969 1,174 0.05293 %
Uzbekistan 27,865,738 13,591 0.04877 %
Morocco 33,848,242 15,936 0.04708 %
Paraguay 6,375,830 2,980 0.04674 %
Nicaragua 6,465,513 2,846 0.04402 %
Hungary 9,982,000 4,247 0.04255 %
Australia 24,992,369 10,251 0.04102 %
Namibia 2,128,471 861 0.04045 %
Guyana 779,004 300 0.03851 %
Bahamas 301,790 113 0.03744 %
New Zealand 4,252,277 1,545 0.03633 %
Barbados 285,653 103 0.03606 %
Brunei 395,027 141 0.03569 %
Greece 10,727,668 3,826 0.03566 %
Lebanon 6,848,925 2,419 0.03532 %
Slovakia 5,455,000 1,902 0.03487 %
Venezuela 28,870,195 9,707 0.03362 %
Saint Vincent and the Grenadines 104,217 35 0.03358 %
Saint Kitts and Nevis 51,134 17 0.03325 %
Indonesia 242,968,342 76,981 0.03168 %
Somalia 10,112,453 3,072 0.03038 %
Sudan 35,000,000 10,316 0.02947 %
Uruguay 3,477,000 989 0.02844 %
Liberia 3,685,076 1,024 0.02779 %
Malaysia 31,528,585 8,725 0.02767 %
Mauritius 1,265,303 342 0.02703 %
South Korea 51,635,256 13,512 0.02617 %
South Sudan 8,260,490 2,148 0.02600 %
Jamaica 2,934,855 759 0.02586 %
Kenya 40,046,566 10,294 0.02571 %
Dominica 72,813 18 0.02472 %
Madagascar 21,281,844 5,080 0.02387 %
Libya 6,461,454 1,512 0.02340 %
Nigeria 154,000,000 33,153 0.02153 %
Georgia 4,630,000 995 0.02149 %
Sierra Leone 7,650,154 1,642 0.02146 %
Cuba 11,338,138 2,428 0.02141 %
Grenada 107,818 23 0.02133 %
Jordan 6,407,085 1,183 0.01846 %
Botswana 2,254,126 399 0.01770 %
Japan 126,529,100 22,125 0.01749 %
Mali 13,796,354 2,412 0.01748 %
Benin 9,056,010 1,378 0.01522 %
Zambia 13,460,305 1,895 0.01408 %
Malawi 17,563,749 2,430 0.01384 %
Saint Lucia 160,922 22 0.01367 %
Rwanda 11,055,976 1,378 0.01246 %
Sri Lanka 21,513,990 2,646 0.01230 %
Tunisia 10,589,025 1,302 0.01230 %
Bhutan 699,847 84 0.01200 %
Belize 314,522 37 0.01176 %
Congo (Kinshasa) 70,916,439 8,075 0.01139 %
Togo 6,587,239 721 0.01095 %
Trinidad and Tobago 1,389,858 133 0.00957 %
Ethiopia 88,013,491 7,766 0.00882 %
Chad 10,543,464 880 0.00835 %
Zimbabwe 13,061,000 1,034 0.00792 %
Mongolia 3,086,918 243 0.00787 %
Niger 15,878,271 1,099 0.00692 %
Burkina Faso 16,241,811 1,036 0.00638 %
China 1,392,730,000 85,117 0.00611 %
Mozambique 22,061,451 1,219 0.00553 %
Thailand 67,089,500 3,220 0.00480 %
Angola 13,068,161 525 0.00402 %
Gambia 1,593,256 64 0.00402 %
Eritrea 5,792,984 232 0.00400 %
Western Sahara 273,008 10 0.00366 %
Uganda 33,398,682 1,029 0.00308 %
Fiji 875,983 26 0.00297 %
Burundi 11,175,378 269 0.00241 %
Timor-Leste 1,154,625 24 0.00208 %
Taiwan* 22,894,384 451 0.00197 %
Syria 22,198,110 417 0.00188 %
Tanzania 41,892,895 509 0.00122 %
Cambodia 14,453,680 165 0.00114 %
Burma 53,414,374 336 0.00063 %
Vietnam 89,571,130 373 0.00042 %
Laos 6,368,162 19 0.00030 %
Papua New Guinea 6,064,515 11 0.00018 %

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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