COVID-19, Relative by Population

The following tables show the spread of COVID-19 for a percentage of the population.
The New Cases percentage of "Last 120 days" means that the percentage of people in the skin has become infected. The percentage for the "Last 30 to 7 days" shows the percentage of the population that would still become infected in 120 days according to the growth rate. The Relative Mortality rates from last positive cases are also in percentages (with 7-day shift). This means relative percentage of patients (with 7-day shift) die from COVID-19 infection. [1] The Total Mortality is the ratio of total deaths in COVID-19 to population. An exact description of the calculations can be found at the bottom of this page.
COVID-19 World map by Johns Hopkins University.
Last actualisation from "WHO" and "WorldoMeter": 2021-09-16 09:09
(For some countries, the data from the WHO and from "Our World in Data by Johns Hopkins University" and from "WorldoMeter" are completely different, such as: Israel.)
What can help, is at the bottom of this page. I recommend searching here "Global literature on coronavirus disease" or here "Google Scholar".

COVID-19, Selected Countries by WorldoMeter

Our World in Data, (2 days late data visualization) [CASES][DEATHS], [VACCINATION]
CDCountryNew CasesNew Deaths
AT Austria +0 (+2 624) +0 (+7)
CZ Czechia +524 (+556) +1 (+2)
DE Germany +0 (+13 047) +0 (+78)
HU Hungary +458 (+371) +4 (+12)
PL Poland +0 (+767) +0 (+21)
SK Slovakia, [gov], [okr]+0 (+760) +0 (+4)

COVID-19, New Cases in Regions (incidence rate)

N.RegionPopulationLast 120 daysLast 30 daysLast 7 days
1 North America 594 242 801 1.94% 3.80% 3.75%
2 Europe 756 181 771 1.48% 1.97% 1.83%
3 South America 438 290 783 2.38% 0.92% 0.66%
4 Australia/Oceania 43 402 852 0.31% 0.62% 0.62%
5 Asia 4 675 315 555 0.55% 0.60% 0.50%
6 Africa 1 378 533 819 0.25% 0.23% 0.15%

COVID-19, Relative Mortality rate from positive cases in Regions

N.RegionPopulationMortality last
120 days
Mortality last
30 days
New positive cases
last 30 days
1 South America 438 290 783 2.69% 3.65% 0.92%
2 Africa 1 378 533 819 2.32% 2.98% 0.23%
3 Asia 4 675 315 555 1.72% 2.05% 0.60%
4 North America 594 242 801 1.43% 1.63% 3.80%
5 Europe 756 181 771 1.26% 1.51% 1.97%
6 Australia/Oceania 43 402 852 1.08% 1.38% 0.62%

COVID-19, Total Mortality from population of Regions

N.RegionPopulationDeaths1000*Deaths/Pop.
1 South America 438 290 783 1 145 631 2.614
2 North America 594 242 801 1 010 587 1.701
3 Europe 756 181 771 1 197 213 1.583
4 Asia 4 675 315 555 1 082 537 0.232
5 Africa 1 378 533 819 204 676 0.148
6 Australia/Oceania 43 402 852 2 649 0.061

COVID-19, New Cases in Countries

All Countries, [Filter: Population more then 2 million] | Compare with [CASES]
N.RegionCDCountryPopulationLast 120 daysLast 30 daysLast 7 days
1 Asia MN Mongolia 3 341 810 6.79% 11.12% 18.29%
2 North America GD Grenada 113 151 2.20% 8.69% 17.77%
3 North America BM Bermuda 62 000 1.70% 5.45% 13.02%
4 Asia IL Israel 9 326 000 3.89% 10.90% 11.46%
5 Europe ME Montenegro 628 162 3.94% 10.99% 11.29%
6 North America DM Dominica 72 202 3.29% 8.97% 9.19%
7 South America SR Suriname 592 964 3.79% 5.37% 9.16%
8 Europe RS Serbia 8 694 903 1.50% 4.84% 8.67%
9 North America CU Cuba 11 318 277 5.67% 8.54% 8.41%
10 North America KN Saint Kitts and Nevis 53 652 2.82% 6.72% 7.86%
11 North America LC Saint Lucia 184 639 2.85% 8.05% 7.65%
12 Asia GE Georgia 3 979 929 6.44% 9.98% 7.23%
13 Australia/Oceania NC New Caledonia 288 804 0.42% 1.68% 7.15%
14 South America GF French Guiana 307 980 5.17% 7.24% 7.10%
15 Asia MY Malaysia 32 865 233 4.72% 7.38% 6.81%
16 Australia/Oceania GU Guam 172 400 2.25% 7.36% 6.64%
17 North America AG Antigua and Barbuda 98 906 1.06% 3.74% 5.84%
18 North America CR Costa Rica 5 150 153 4.07% 5.19% 5.65%
19 Europe SI Slovenia 2 079 283 1.41% 3.41% 5.53%
20 Europe GB United Kingdom 68 315 830 4.19% 5.96% 5.49%
21 North America US USA 333 341 930 2.58% 5.48% 5.48%
22 Africa SC Seychelles 99 081 10.79% 5.63% 5.40%
23 North America MF Saint Martin 39 459 4.61% 7.26% 5.00%
24 North America SX Sint Maarten 43 462 3.96% 7.61% 4.89%
25 North America MQ Martinique 374 914 7.50% 10.18% 4.58%
26 Europe LT Lithuania 2 676 409 1.66% 3.14% 4.20%
27 Europe XK Kosovo 1 782 115 2.84% 9.29% 3.89%
28 Europe EE Estonia 1 327 611 1.54% 3.23% 3.88%
29 North America BB Barbados 287 799 0.74% 2.17% 3.70%
30 Europe AL Albania 2 874 007 0.95% 3.24% 3.64%
31 South America GY Guyana 791 127 1.65% 2.45% 3.52%
32 North America BZ Belize 406 310 1.28% 3.05% 3.48%
33 Asia TR Turkey 85 432 003 1.87% 3.01% 3.46%
34 Asia BN Brunei Darussalam 442 525 0.98% 3.42% 3.42%
35 North America AW Aruba 107 312 3.97% 6.59% 3.27%
36 Europe IE Ireland 5 004 207 2.25% 3.69% 3.19%
37 Asia IR Iran 85 287 214 3.03% 4.19% 3.00%
38 North America CW Curaçao 164 902 2.15% 2.97% 2.99%
39 Europe IM Isle of Man 85 575 6.38% 4.97% 2.96%
40 Europe HR Croatia 4 074 711 0.88% 1.95% 2.91%
41 Europe JE Jersey 107 800 5.98% 3.21% 2.89%
42 North America BS Bahamas 397 770 2.13% 3.14% 2.83%
43 Europe AT Austria 9 068 333 0.87% 2.09% 2.73%
44 Europe MK North Macedonia 2 083 271 1.44% 4.31% 2.69%
45 North America TC Turks and Caicos Islands 39 347 0.90% 1.93% 2.66%
46 Europe GI Gibraltar 33 679 3.47% 2.78% 2.65%
47 North America VC Saint Vincent 111 365 0.55% 0.87% 2.62%
48 Europe BG Bulgaria 6 885 305 0.90% 2.48% 2.61%
49 Asia AZ Azerbaijan 10 249 267 1.30% 3.72% 2.61%
50 Europe BA Bosnia and Herzegovina 3 256 189 0.65% 2.01% 2.60%
51 Europe GR Greece 10 361 614 2.28% 3.15% 2.55%
52 Asia AM Armenia 2 969 922 1.01% 2.18% 2.50%
53 Africa BW Botswana 2 408 714 4.66% 4.80% 2.46%
54 Europe NO Norway 5 472 316 1.08% 2.47% 2.42%
55 Europe LV Latvia 1 861 016 1.03% 1.75% 2.39%
56 Europe CH Switzerland 8 730 885 1.52% 3.33% 2.36%
57 Europe MD Moldova 4 022 652 0.59% 1.55% 2.36%
58 Europe BY Belarus 9 445 574 1.37% 1.96% 2.35%
59 Asia TH Thailand 70 011 161 1.88% 2.78% 2.34%
60 Africa TN Tunisia 11 967 557 3.07% 2.32% 2.32%
61 North America JM Jamaica 2 976 747 1.01% 2.56% 2.30%
62 North America AI Anguilla 15 164 1.42% 4.96% 2.26%
63 Asia PH Philippines 111 336 794 1.01% 1.89% 2.22%
64 Europe SM San Marino 34 017 0.92% 2.01% 2.22%
65 Asia MV Maldives 551 996 6.26% 2.71% 2.13%
66 North America GT Guatemala 18 314 139 1.51% 2.32% 2.09%
67 Africa LY Libya 6 983 764 2.09% 2.47% 2.02%
68 Asia KZ Kazakhstan 19 047 134 2.64% 3.32% 2.02%
69 Australia/Oceania FJ Fiji 904 272 5.44% 3.89% 1.89%
70 Africa RE Réunion 903 011 3.32% 3.90% 1.88%
71 Africa CV Cabo Verde 563 259 1.49% 1.71% 1.87%
72 North America TT Tobago 1 404 952 2.20% 1.60% 1.81%
73 Europe RO Romania 19 082 792 0.31% 0.90% 1.75%
74 North America GL Greenland 56 889 0.71% 1.29% 1.69%
75 Europe BE Belgium 11 650 425 1.46% 1.95% 1.57%
76 Europe NL Netherlands 17 180 588 2.16% 1.70% 1.55%
77 Europe RU Russia 146 009 932 1.53% 1.57% 1.52%
78 Asia LK Sri Lanka 21 521 481 1.60% 2.43% 1.50%
79 Europe LU Luxembourg 638 231 1.21% 1.45% 1.45%
80 South America PR Puerto Rico 3 193 694 1.26% 2.38% 1.44%
81 Asia CY Cyprus 1 217 949 3.77% 2.50% 1.43%
82 Europe FR France 65 447 670 1.93% 2.46% 1.43%
83 Asia VN Vietnam 98 393 615 0.65% 1.47% 1.43%
84 Africa ST Sao Tome and Principe 224 053 0.25% 0.72% 1.41%
85 Europe DE Germany 84 106 935 0.60% 1.37% 1.40%
86 Africa MU Mauritius 1 274 313 0.98% 2.40% 1.34%
87 Europe SE Sweden 10 175 157 0.95% 1.20% 1.34%
88 North America CA Canada 38 140 802 0.58% 1.08% 1.34%
89 Europe PT Portugal 10 160 838 2.12% 2.12% 1.29%
90 North America HN Honduras 10 094 152 1.26% 1.53% 1.27%
91 Asia SG Singapore 5 905 778 0.21% 0.52% 1.27%
92 Asia IQ Iraq 41 307 212 1.98% 1.73% 1.20%
93 Asia LB Lebanon 6 788 561 1.15% 1.83% 1.17%
94 Europe MC Monaco 39 577 1.99% 2.13% 1.08%
95 North America MX Mexico 130 564 188 0.88% 1.31% 1.05%
96 Europe MT Malta 442 961 1.44% 1.35% 1.04%
97 North America BL St. Barth 9 913 6.08% 5.41% 1.04%
98 North America KY Cayman Islands 66 651 0.29% 0.64% 1.00%
99 Africa GQ Equatorial Guinea 1 458 270 0.21% 0.50% 1.00%
100 Africa SZ Eswatini 1 174 631 2.27% 2.95% 0.99%
101 Europe UA Ukraine 43 416 650 0.38% 0.59% 0.97%
102 Europe FI Finland 5 551 099 0.79% 1.17% 0.97%
103 Europe SK Slovakia 5 462 831 0.22% 0.47% 0.97%
104 North America SV El Salvador 6 525 653 0.43% 0.59% 0.95%
105 Europe LI Liechtenstein 38 260 1.11% 2.22% 0.94%
106 Asia TL Timor-Leste 1 348 643 1.04% 1.81% 0.94%
107 Europe IT Italy 60 354 576 0.75% 1.15% 0.93%
108 Africa ZA South Africa 60 208 948 2.08% 1.70% 0.92%
109 Europe DK Denmark 5 816 793 1.46% 1.49% 0.89%
110 North America PA Panama 4 396 496 2.08% 1.36% 0.88%
111 Asia JO Jordan 10 325 135 0.81% 0.97% 0.87%
112 South America BR Brazil 214 380 101 2.50% 1.23% 0.86%
113 Europe AD Andorra 77 414 1.99% 0.80% 0.84%
114 Australia/Oceania AU Australia 25 856 146 0.19% 0.61% 0.83%
115 Europe IS Iceland 343 912 1.39% 2.05% 0.82%
116 Asia JP Japan 126 009 310 0.76% 1.61% 0.81%
117 Asia AE Arab Emirates 10 034 281 1.81% 1.11% 0.81%
118 Asia PS Palestine 5 243 910 0.05% 0.18% 0.77%
119 Africa BJ Benin 12 504 542 0.11% 0.40% 0.76%
120 Africa YT Mayotte 280 723 0.00% 0.65% 0.73%
121 Europe GG Guernsey 174 853 0.36% 0.86% 0.73%
122 Europe ES Spain 46 776 619 2.74% 1.54% 0.70%
123 Africa GA Gabon 2 288 836 0.15% 0.29% 0.68%
124 Africa MA Morocco 37 437 339 1.05% 1.55% 0.68%
125 Europe FO Faroe Islands 49 087 0.77% 0.44% 0.66%
126 South America AR Argentina 45 695 355 4.14% 1.27% 0.66%
127 Asia QA Qatar 2 807 805 0.75% 0.78% 0.61%
128 South America UY Uruguay 3 488 244 4.13% 0.43% 0.53%
129 Asia BH Bahrain 1 772 491 3.91% 0.65% 0.51%
130 Africa NA Namibia 2 596 250 2.89% 0.61% 0.51%
131 South America VE Venezuela 28 338 731 0.47% 0.44% 0.47%
132 Asia KH Cambodia 16 997 473 0.46% 0.36% 0.46%
133 Europe CZ Czechia 10 732 938 0.27% 0.31% 0.45%
134 Asia MM Myanmar 54 849 348 0.54% 0.57% 0.42%
135 Asia KR South Korea 51 322 397 0.29% 0.41% 0.42%
136 Europe HU Hungary 9 630 757 0.18% 0.25% 0.40%
137 South America CO Colombia 51 536 043 3.50% 0.51% 0.39%
138 Africa RW Rwanda 13 337 902 0.51% 0.42% 0.38%
139 Asia NP Nepal 29 767 130 1.01% 0.58% 0.36%
140 North America MS Montserrat 4 996 0.24% 0.72% 0.34%
141 South America BO Bolivia 11 864 687 1.36% 0.45% 0.31%
142 Asia LA Laos 7 402 623 0.22% 0.40% 0.31%
143 North America DO Dominican R. 10 978 933 0.69% 0.28% 0.31%
144 South America PE Peru 33 524 695 0.80% 0.34% 0.30%
145 South America CL Chile 19 313 885 1.81% 0.32% 0.27%
146 South America MP Northern Mariana Islands 56 200 0.15% 0.30% 0.24%
147 Africa MR Mauritania 4 796 430 0.34% 0.40% 0.23%
148 Asia IN India 1 396 346 320 0.56% 0.31% 0.22%
149 Africa TG Togo 8 511 861 0.13% 0.28% 0.22%
150 Asia UZ Uzbekistan 34 052 989 0.20% 0.26% 0.21%
151 Asia ID Indonesia 277 006 957 0.88% 0.44% 0.19%
152 Asia PK Pakistan 226 049 861 0.15% 0.20% 0.17%
153 Europe PL Poland 37 796 609 0.10% 0.10% 0.16%
154 Africa DJ Djibouti 1 005 292 0.04% 0.09% 0.16%
155 Asia KG Kyrgyzstan 6 653 696 1.15% 0.29% 0.15%
156 Africa GH Ghana 31 852 662 0.10% 0.16% 0.14%
157 Asia KW Kuwait 4 346 579 2.70% 0.37% 0.13%
158 South America EC Ecuador 17 965 451 0.53% 0.23% 0.13%
159 Africa ZW Zimbabwe 15 123 321 0.59% 0.17% 0.13%
160 Asia OM Oman 5 262 619 1.83% 0.22% 0.13%
161 North America NI Nicaragua 6 719 454 0.07% 0.12% 0.13%
162 Asia BD Bangladesh 166 665 601 0.45% 0.25% 0.12%
163 Africa ET Ethiopia 118 384 350 0.05% 0.13% 0.11%
164 North America VG British Virgin Islands 30 473 7.86% 1.18% 0.11%
165 Africa AO Angola 34 092 919 0.06% 0.08% 0.10%
166 South America PY Paraguay 7 238 024 1.99% 0.15% 0.10%
167 Australia/Oceania PW Palau 17 900 0.02% 0.07% 0.10%
168 Asia SY Syria 18 011 395 0.03% 0.08% 0.10%
169 Africa KE Kenya 55 194 835 0.14% 0.17% 0.09%
170 Africa SO Somalia 16 425 552 0.03% 0.06% 0.09%
171 Africa GW Guinea-Bissau 2 023 887 0.11% 0.18% 0.08%
172 Africa CM Cameroon 27 339 617 0.03% 0.04% 0.08%
173 Africa DZ Algeria 44 803 436 0.17% 0.11% 0.07%
174 Africa CI Ivory Coast 27 162 936 0.04% 0.09% 0.07%
175 Africa ZM Zambia 19 002 051 0.61% 0.12% 0.07%
176 Africa MZ Mozambique 32 306 692 0.25% 0.13% 0.06%
177 Africa GN Guinea 13 560 517 0.05% 0.07% 0.06%
178 Africa GM Gambia 2 498 174 0.16% 0.11% 0.05%
179 Africa KM Comoros 891 868 0.02% 0.03% 0.05%
180 Australia/Oceania NZ New Zealand 5 002 100 0.03% 0.09% 0.05%
181 Australia/Oceania PG Papua New Guinea 9 150 836 0.05% 0.03% 0.05%
182 Africa EG Egypt 104 655 540 0.04% 0.03% 0.05%
183 Africa CG Congo 5 681 248 0.04% 0.02% 0.03%
184 Asia SA Saudi Arabia 35 466 274 0.31% 0.08% 0.03%
185 Africa SS South Sudan 11 351 747 0.01% 0.02% 0.03%
186 Africa NG Nigeria 212 277 004 0.02% 0.03% 0.03%
187 Asia AF Afghanistan 39 981 941 0.23% 0.02% 0.02%
188 Africa SN Senegal 17 273 809 0.19% 0.06% 0.02%
189 North America HT Haiti 11 569 889 0.07% 0.02% 0.02%
190 Africa MW Malawi 19 723 640 0.14% 0.06% 0.02%
191 Africa BI Burundi 12 315 795 0.08% 0.13% 0.02%
192 Asia YE Yemen 30 615 469 0.01% 0.02% 0.02%
193 Africa CD DR Congo 92 828 746 0.03% 0.01% 0.01%
194 Africa BF Burkina Faso 21 591 469 0.00% 0.01% 0.01%
195 Africa CF Central African R. 4 930 779 0.09% 0.00% 0.01%
196 Africa ER Eritrea 3 605 501 0.08% 0.01% 0.01%
197 Africa NE Niger 25 256 968 0.00% 0.00% 0.00%
198 Asia HK Hong Kong 7 570 260 0.00% 0.01% 0.00%
199 Asia TW Taiwan 23 868 756 0.06% 0.00% 0.00%
200 Africa ML Mali 20 950 971 0.00% 0.01% 0.00%
201 Africa SD Sudan 45 079 443 0.01% 0.00% 0.00%
202 Africa UG Uganda 47 474 041 0.12% 0.02% 0.00%
203 Africa TD Chad 16 991 641 0.00% 0.00% 0.00%
204 Africa SL Sierra Leone 8 172 011 0.03% 0.00% 0.00%
205 Australia/Oceania AS American Samoa 56 700 0.00% 0.00% 0.00%
206 Australia/Oceania SB Solomon Islands 707 119 0.00% 0.00% 0.00%
207 Asia CN China 1 439 323 776 0.00% 0.00% 0.00%
208 Africa TZ Tanzania 61 776 638 0.00% 0.00% 0.00%
209 Asia KP North Korea 25 660 000 0.00% 0.00% 0.00%
210 Australia/Oceania CK Cook Islands 15 200 0.00% 0.00% 0.00%
211 Australia/Oceania TV Tuvalu 10 507 0.00% 0.00% 0.00%
212 Australia/Oceania KI Kiribati 120 100 0.00% 0.00% 0.00%
213 Europe VA Vatican City 803 0.00% 0.00% 0.00%
214 Australia/Oceania TO Tonga 100 651 0.00% 0.00% 0.00%
215 Europe TM Turkmenistan 6 118 000 0.00% 0.00% 0.00%
216 Australia/Oceania TK Tokelau 1 499 0.00% 0.00% 0.00%
217 Asia TJ Tajikistan 9 795 092 0.00% 0.00% 0.00%
218 Australia/Oceania PN Pitcairn Islands 50 0.00% 0.00% 0.00%
219 Asia BT Bhutan 781 840 0.16% 0.01% 0.00%
220 North America PM Saint Pierre 5 760 0.10% 0.07% 0.00%
221 South America FK Falkland Islands 3 602 0.11% 0.00% 0.00%
222 Australia/Oceania MH Marshall Islands 59 671 0.00% 0.00% 0.00%
223 Africa MG Madagascar 28 546 012 0.01% 0.00% 0.00%
224 Australia/Oceania PF French Polynesia 282 865 8.80% 18.62% 0.00%
225 Australia/Oceania NU Niue 1 784 0.00% 0.00% 0.00%
226 Australia/Oceania NR Nauru 11 000 0.00% 0.00% 0.00%
227 Australia/Oceania WS Samoa 200 003 0.00% 0.00% 0.00%
228 Australia/Oceania WF Wallis and Futuna 11 001 0.00% 0.00% 0.00%
229 Australia/Oceania VU Vanuatu 315 769 0.00% 0.00% 0.00%
230 Africa LS Lesotho 2 162 710 0.17% 0.03% 0.00%
231 Africa LR Liberia 5 200 513 0.07% 0.02% 0.00%
232 Australia/Oceania FM Micronesia 116 475 0.00% 0.00% no data

COVID-19, Relative Mortality rate from positive cases in Countries

All Countries, [Filter: Population more then 2 million] | Compare with [DEATHS]! and with [FATALITY RATE]
N.RegionCDCountryPopulationMortality last
120 days
Mortality last
30 days
New positive cases
last 30 days
1 Australia/Oceania NC New Caledonia 288 804 21.05% 44.44% 1.68%
2 Asia YE Yemen 30 615 469 18.16% (19.51)% (0.02)%
3 South America PY Paraguay 7 238 024 5.29% 17.47% 0.15%
4 Africa SD Sudan 45 079 443 12.66% (11.66)% (0.00)%
5 Africa LR Liberia 5 200 513 4.43% (9.02)% (0.02)%
6 Africa SO Somalia 16 425 552 8.06% (7.42)% (0.06)%
7 Asia TW Taiwan 23 868 756 5.56% (6.82)% (0.00)%
8 Africa GM Gambia 2 498 174 4.02% 5.75% 0.11%
9 Asia SY Syria 18 011 395 7.14% (5.56)% (0.08)%
10 Africa MW Malawi 19 723 640 4.08% (5.45)% (0.06)%
11 Asia AF Afghanistan 39 981 941 4.85% (5.38)% (0.02)%
12 Africa ER Eritrea 3 605 501 0.92% (4.84)% (0.01)%
13 Africa DZ Algeria 44 803 436 3.01% 4.82% 0.11%
14 South America CL Chile 19 313 885 2.41% 4.72% 0.32%
15 North America BS Bahamas 397 770 3.02% 4.66% 3.14%
16 Africa AO Angola 34 092 919 3.34% (4.59)% (0.08)%
17 South America PE Peru 33 524 695 6.89% 4.58% 0.34%
18 Africa ZW Zimbabwe 15 123 321 3.39% 4.55% 0.17%
19 Asia ID Indonesia 277 006 957 3.76% 4.53% 0.44%
20 North America MX Mexico 130 564 188 4.47% 4.29% 1.31%
21 Africa EG Egypt 104 655 540 4.78% (4.28)% (0.03)%
22 Africa SN Senegal 17 273 809 2.18% (4.23)% (0.06)%
23 Africa NA Namibia 2 596 250 3.60% 4.18% 0.61%
24 Africa MG Madagascar 28 546 012 4.99% (4.12)% (0.00)%
25 South America EC Ecuador 17 965 451 12.44% 4.06% 0.23%
26 Europe RU Russia 146 009 932 3.62% 3.98% 1.57%
27 Asia LK Sri Lanka 21 521 481 3.09% 3.84% 2.43%
28 Europe BG Bulgaria 6 885 305 4.46% 3.79% 2.48%
29 Africa UG Uganda 47 474 041 4.69% (3.69)% (0.02)%
30 Africa TN Tunisia 11 967 557 3.46% 3.63% 2.32%
31 Asia MM Myanmar 54 849 348 4.80% 3.60% 0.57%
32 North America TT Tobago 1 404 952 3.35% 3.56% 1.60%
33 Africa GW Guinea-Bissau 2 023 887 2.82% 3.46% 0.18%
34 Africa GN Guinea 13 560 517 3.10% (3.38)% (0.07)%
35 North America SV El Salvador 6 525 653 3.34% 3.37% 0.59%
36 Europe MK North Macedonia 2 083 271 4.04% 3.32% 4.31%
37 Europe BA Bosnia and Herzegovina 3 256 189 6.17% 3.31% 2.01%
38 South America GY Guyana 791 127 2.85% 3.22% 2.45%
39 Europe RO Romania 19 082 792 4.14% 3.14% 0.90%
40 Africa CI Ivory Coast 27 162 936 2.24% (3.00)% (0.09)%
41 Asia VN Vietnam 98 393 615 2.88% 2.96% 1.47%
42 North America MQ Martinique 374 914 1.78% 2.95% 10.18%
43 Europe UA Ukraine 43 416 650 3.35% 2.90% 0.59%
44 South America CO Colombia 51 536 043 2.30% 2.75% 0.51%
45 South America BO Bolivia 11 864 687 2.91% 2.74% 0.45%
46 Africa ZA South Africa 60 208 948 2.43% 2.71% 1.70%
47 North America GD Grenada 113 151 2.59% 2.63% 8.69%
48 Africa ML Mali 20 950 971 3.86% (2.55)% (0.01)%
49 Asia AM Armenia 2 969 922 2.65% 2.52% 2.18%
50 South America BR Brazil 214 380 101 2.65% 2.51% 1.23%
51 Asia KH Cambodia 16 997 473 2.51% 2.51% 0.36%
52 North America HN Honduras 10 094 152 2.71% 2.47% 1.53%
53 South America AR Argentina 45 695 355 2.09% 2.46% 1.27%
54 Australia/Oceania PG Papua New Guinea 9 150 836 1.23% (2.45)% (0.03)%
55 North America JM Jamaica 2 976 747 3.30% 2.43% 2.56%
56 Asia OM Oman 5 262 619 1.87% 2.32% 0.22%
57 Africa NG Nigeria 212 277 004 1.82% (2.25)% (0.03)%
58 North America HT Haiti 11 569 889 4.03% (2.14)% (0.02)%
59 Africa ST Sao Tome and Principe 224 053 1.80% 2.14% 0.72%
60 Europe MD Moldova 4 022 652 2.66% 2.14% 1.55%
61 Europe PL Poland 37 796 609 6.62% 2.08% 0.10%
62 Asia PK Pakistan 226 049 861 2.21% 2.07% 0.20%
63 Africa KE Kenya 55 194 835 2.48% 2.05% 0.17%
64 Asia SA Saudi Arabia 35 466 274 1.24% 1.95% 0.08%
65 Africa SZ Eswatini 1 174 631 1.99% 1.94% 2.95%
66 North America SX Sint Maarten 43 462 1.91% 1.92% 7.61%
67 Australia/Oceania PF French Polynesia 282 865 1.77% 1.88% 18.62%
68 Africa NE Niger 25 256 968 1.40% 1.87% 0.00%
69 Africa MR Mauritania 4 796 430 1.92% 1.82% 0.40%
70 Asia KG Kyrgyzstan 6 653 696 1.10% 1.79% 0.29%
71 Europe HU Hungary 9 630 757 3.83% 1.74% 0.25%
72 Asia KZ Kazakhstan 19 047 134 1.59% 1.74% 3.32%
73 Asia IR Iran 85 287 214 1.51% 1.69% 4.19%
74 Asia BD Bangladesh 166 665 601 1.98% 1.69% 0.25%
75 South America SR Suriname 592 964 2.69% 1.67% 5.37%
76 Asia GE Georgia 3 979 929 1.57% 1.63% 9.98%
77 South America PR Puerto Rico 3 193 694 1.52% 1.61% 2.38%
78 North America CW Curaçao 164 902 1.07% 1.59% 2.97%
79 Europe LT Lithuania 2 676 409 1.37% 1.58% 3.14%
80 Africa ET Ethiopia 118 384 350 1.83% 1.58% 0.13%
81 North America GT Guatemala 18 314 139 1.89% 1.57% 2.32%
82 North America BZ Belize 406 310 1.38% 1.49% 3.05%
83 Africa RW Rwanda 13 337 902 1.28% 1.49% 0.42%
84 Asia MY Malaysia 32 865 233 1.38% 1.49% 7.38%
85 South America VE Venezuela 28 338 731 1.37% 1.48% 0.44%
86 North America AW Aruba 107 312 1.21% 1.46% 6.59%
87 Africa CM Cameroon 27 339 617 1.49% 1.40% 0.04%
88 Africa CG Congo 5 681 248 1.56% 1.36% 0.02%
89 Africa ZM Zambia 19 002 051 2.06% 1.35% 0.12%
90 Australia/Oceania FJ Fiji 904 272 1.11% 1.35% 3.89%
91 Africa MA Morocco 37 437 339 1.20% 1.32% 1.55%
92 Africa GQ Equatorial Guinea 1 458 270 1.07% 1.32% 0.50%
93 Asia JO Jordan 10 325 135 1.54% 1.30% 0.97%
94 Asia TH Thailand 70 011 161 1.14% 1.29% 2.78%
95 Africa GH Ghana 31 852 662 1.11% 1.28% 0.16%
96 Europe XK Kosovo 1 782 115 1.29% 1.26% 9.29%
97 North America LC Saint Lucia 184 639 1.31% 1.20% 8.05%
98 Europe HR Croatia 4 074 711 2.03% 1.20% 1.95%
99 Asia NP Nepal 29 767 130 1.51% 1.18% 0.58%
100 Asia TR Turkey 85 432 003 1.03% 1.17% 3.01%
101 Europe GR Greece 10 361 614 1.15% 1.17% 3.15%
102 Europe MT Malta 442 961 0.54% 1.15% 1.35%
103 Asia PH Philippines 111 336 794 1.60% 1.14% 1.89%
104 South America UY Uruguay 3 488 244 1.55% 1.14% 0.43%
105 Africa CV Cabo Verde 563 259 0.76% 1.13% 1.71%
106 North America VC Saint Vincent 111 365 0.21% 1.11% 0.87%
107 Africa MZ Mozambique 32 306 692 1.37% 1.09% 0.13%
108 North America PA Panama 4 396 496 0.92% 1.08% 1.36%
109 Africa LY Libya 6 983 764 0.99% 1.08% 2.47%
110 Europe ME Montenegro 628 162 1.18% 1.07% 10.99%
111 Asia AZ Azerbaijan 10 249 267 1.14% 1.06% 3.72%
112 Asia TL Timor-Leste 1 348 643 0.62% 1.04% 1.81%
113 North America CR Costa Rica 5 150 153 1.07% 1.03% 5.19%
114 Africa GA Gabon 2 288 836 1.03% 1.01% 0.29%
115 Australia/Oceania GU Guam 172 400 0.95% 1.00% 7.36%
116 Asia IN India 1 396 346 320 1.64% 1.00% 0.31%
117 Europe LV Latvia 1 861 016 1.63% 1.00% 1.75%
118 North America CU Cuba 11 318 277 0.96% 0.99% 8.54%
119 North America US USA 333 341 930 1.01% 0.94% 5.48%
120 Africa BW Botswana 2 408 714 1.38% 0.92% 4.80%
121 Asia IQ Iraq 41 307 212 0.69% 0.89% 1.73%
122 Asia HK Hong Kong 7 570 260 0.94% 0.88% 0.01%
123 Europe IT Italy 60 354 576 1.21% 0.87% 1.15%
124 North America KN Saint Kitts and Nevis 53 652 0.71% 0.86% 6.72%
125 Europe BY Belarus 9 445 574 0.99% 0.83% 1.96%
126 Asia CY Cyprus 1 217 949 0.40% 0.82% 2.50%
127 Africa CF Central African R. 4 930 779 0.09% 0.82% 0.00%
128 Africa BF Burkina Faso 21 591 469 1.63% 0.81% 0.01%
129 North America AG Antigua and Barbuda 98 906 0.83% 0.80% 3.74%
130 Asia UZ Uzbekistan 34 052 989 0.75% 0.78% 0.26%
131 Europe ES Spain 46 776 619 0.40% 0.77% 1.54%
132 Africa LS Lesotho 2 162 710 2.29% 0.76% 0.03%
133 Europe GI Gibraltar 33 679 0.27% 0.73% 2.78%
134 Africa DJ Djibouti 1 005 292 1.37% 0.69% 0.09%
135 Africa TG Togo 8 511 861 0.85% 0.68% 0.28%
136 Europe RS Serbia 8 694 903 1.00% 0.67% 4.84%
137 North America CA Canada 38 140 802 0.99% 0.67% 1.08%
138 Asia LB Lebanon 6 788 561 0.74% 0.60% 1.83%
139 Asia KW Kuwait 4 346 579 0.59% 0.60% 0.37%
140 South America GF French Guiana 307 980 0.78% 0.58% 7.24%
141 North America TC Turks and Caicos Islands 39 347 1.02% 0.57% 1.93%
142 Europe SK Slovakia 5 462 831 2.95% 0.57% 0.47%
143 Africa SC Seychelles 99 081 0.61% 0.53% 5.63%
144 Africa RE Réunion 903 011 0.63% 0.53% 3.90%
145 Asia BN Brunei Darussalam 442 525 0.49% 0.52% 3.42%
146 Australia/Oceania AU Australia 25 856 146 0.56% 0.50% 0.61%
147 Europe PT Portugal 10 160 838 0.41% 0.49% 2.12%
148 North America BB Barbados 287 799 0.39% 0.49% 2.17%
149 North America DO Dominican R. 10 978 933 0.54% 0.49% 0.28%
150 North America BL St. Barth 9 913 0.16% 0.48% 5.41%
151 Europe AL Albania 2 874 007 0.56% 0.47% 3.24%
152 North America BM Bermuda 62 000 0.49% 0.46% 5.45%
153 Africa CD DR Congo 92 828 746 1.14% 0.45% 0.01%
154 Africa BJ Benin 12 504 542 0.57% 0.45% 0.40%
155 Europe FR France 65 447 670 0.50% 0.45% 2.46%
156 Europe JE Jersey 107 800 0.14% 0.44% 3.21%
157 Europe AD Andorra 77 414 0.18% 0.43% 0.80%
158 Asia KR South Korea 51 322 397 0.34% 0.40% 0.41%
159 North America DM Dominica 72 202 0.35% 0.39% 8.97%
160 Europe DE Germany 84 106 935 1.24% 0.38% 1.37%
161 Asia SG Singapore 5 905 778 0.33% 0.37% 0.52%
162 Europe EE Estonia 1 327 611 0.45% 0.37% 3.23%
163 Europe GB United Kingdom 68 315 830 0.26% 0.37% 5.96%
164 Europe CZ Czechia 10 732 938 0.80% 0.35% 0.31%
165 Asia IL Israel 9 326 000 0.35% 0.32% 10.90%
166 Europe BE Belgium 11 650 425 0.41% 0.31% 1.95%
167 Africa MU Mauritius 1 274 313 0.24% 0.30% 2.40%
168 Europe LU Luxembourg 638 231 0.33% 0.29% 1.45%
169 North America NI Nicaragua 6 719 454 0.43% 0.27% 0.12%
170 Europe AT Austria 9 068 333 0.45% 0.27% 2.09%
171 Europe SI Slovenia 2 079 283 0.49% 0.27% 3.41%
172 Asia JP Japan 126 009 310 0.56% 0.27% 1.61%
173 Africa YT Mayotte 280 723 0.00% 0.25% 0.65%
174 Europe NL Netherlands 17 180 588 0.16% 0.24% 1.70%
175 Africa SS South Sudan 11 351 747 0.65% 0.23% 0.02%
176 Europe DK Denmark 5 816 793 0.13% 0.22% 1.49%
177 Asia AE Arab Emirates 10 034 281 0.23% 0.20% 1.11%
178 Europe CH Switzerland 8 730 885 0.24% 0.20% 3.33%
179 Europe IE Ireland 5 004 207 0.20% 0.20% 3.69%
180 Asia MN Mongolia 3 341 810 0.39% 0.17% 11.12%
181 Europe SE Sweden 10 175 157 0.24% 0.17% 1.20%
182 Europe NO Norway 5 472 316 0.15% 0.15% 2.47%
183 Europe FI Finland 5 551 099 0.23% 0.14% 1.17%
184 Europe IS Iceland 343 912 0.09% 0.13% 2.05%
185 Asia MV Maldives 551 996 0.27% 0.13% 2.71%
186 Asia BH Bahrain 1 772 491 0.77% 0.12% 0.65%
187 Australia/Oceania NZ New Zealand 5 002 100 0.08% 0.11% 0.09%
188 Asia LA Laos 7 402 623 0.09% 0.09% 0.40%
189 Europe IM Isle of Man 85 575 0.17% 0.07% 4.97%
190 Asia QA Qatar 2 807 805 0.31% 0.05% 0.78%
191 Africa BI Burundi 12 315 795 0.06% 0.04% 0.13%
192 North America MF Saint Martin 39 459 1.08% 0.00% 7.26%
193 North America AI Anguilla 15 164 0.00% 0.00% 4.96%
194 Europe LI Liechtenstein 38 260 0.24% 0.00% 2.22%
195 Europe MC Monaco 39 577 0.39% 0.00% 2.13%
196 Europe SM San Marino 34 017 0.00% 0.00% 2.01%
197 North America GL Greenland 56 889 0.00% 0.00% 1.29%
198 North America VG British Virgin Islands 30 473 1.49% 0.00% 1.18%
199 Europe GG Guernsey 174 853 0.18% 0.00% 0.86%
200 North America MS Montserrat 4 996 0.00% 0.00% 0.72%
201 North America KY Cayman Islands 66 651 0.00% 0.00% 0.64%
202 Europe FO Faroe Islands 49 087 0.28% 0.00% 0.44%
203 South America MP Northern Mariana Islands 56 200 0.00% 0.00% 0.30%
204 North America PM Saint Pierre 5 760 0.00% 0.00% 0.07%
205 Australia/Oceania PW Palau 17 900 0.00% 0.00% 0.07%
206 Africa KM Comoros 891 868 0.70% 0.00% 0.03%
207 Asia BT Bhutan 781 840 0.15% 0.00% 0.01%
208 Africa SL Sierra Leone 8 172 011 1.84% 0.00% 0.00%
209 Africa TD Chad 16 991 641 0.86% 0.00% 0.00%
210 Africa TZ Tanzania 61 776 638 3.38% 0.00% 0.00%
211 Asia PS Palestine 5 243 910 0.00% 0.00% 0.18%
212 South America FK Falkland Islands 3 602 0.00% 0.00% 0.00%
213 Australia/Oceania AS American Samoa 56 700 0.00% 0.00% 0.00%
214 Australia/Oceania SB Solomon Islands 707 119 0.00% 0.00% 0.00%
215 Asia CN China 1 439 323 776 0.00% 0.00% 0.00%
216 Asia KP North Korea 25 660 000 0.00% 0.00% 0.00%
217 Australia/Oceania CK Cook Islands 15 200 0.00% 0.00% 0.00%
218 Australia/Oceania TV Tuvalu 10 507 0.00% 0.00% 0.00%
219 Australia/Oceania KI Kiribati 120 100 0.00% 0.00% 0.00%
220 Europe VA Vatican City 803 0.00% 0.00% 0.00%
221 Australia/Oceania TO Tonga 100 651 0.00% 0.00% 0.00%
222 Europe TM Turkmenistan 6 118 000 0.00% 0.00% 0.00%
223 Australia/Oceania TK Tokelau 1 499 0.00% 0.00% 0.00%
224 Australia/Oceania PN Pitcairn Islands 50 0.00% 0.00% 0.00%
225 Asia TJ Tajikistan 9 795 092 0.00% 0.00% 0.00%
226 Australia/Oceania MH Marshall Islands 59 671 0.00% 0.00% 0.00%
227 Australia/Oceania NU Niue 1 784 0.00% 0.00% 0.00%
228 Australia/Oceania NR Nauru 11 000 0.00% 0.00% 0.00%
229 Australia/Oceania WS Samoa 200 003 0.00% 0.00% 0.00%
230 Australia/Oceania WF Wallis and Futuna 11 001 0.00% 0.00% 0.00%
231 Australia/Oceania VU Vanuatu 315 769 0.00% 0.00% 0.00%
232 Australia/Oceania FM Micronesia 116 475 0.00% no data

COVID-19, Total Mortality rate (from population) in Countries

All Countries, [Filter: Population more then 2 million] | Compare with [DEATHS] ! and with [CUMULATIVE DEATHS]
N.RegionCDCountryPopulationDeaths 1000*Deaths/Pop.
1 South America PE Peru 33 524 695 198 819 5.931
2 Europe HU Hungary 9 630 757 30 118 3.127
3 Europe BA Bosnia and Herzegovina 3 256 189 10 131 3.111
4 Europe MK North Macedonia 2 083 271 6 339 3.043
5 Europe ME Montenegro 628 162 1 811 2.883
6 Europe GI Gibraltar 33 679 97 2.880
7 Europe BG Bulgaria 6 885 305 19 809 2.877
8 Europe CZ Czechia 10 732 938 30 418 2.834
9 South America BR Brazil 214 380 101 587 859 2.742
10 Europe SM San Marino 34 017 90 2.646
11 South America AR Argentina 45 695 355 113 793 2.490
12 South America CO Colombia 51 536 043 125 727 2.440
13 Europe SI Slovenia 2 079 283 4 797 2.307
14 Europe SK Slovakia 5 462 831 12 566 2.300
15 South America PY Paraguay 7 238 024 16 113 2.226
16 Europe BE Belgium 11 650 425 25 486 2.188
17 Europe IT Italy 60 354 576 130 072 2.155
18 Asia GE Georgia 3 979 929 8 390 2.108
19 Europe HR Croatia 4 074 711 8 463 2.077
20 Australia/Oceania PF French Polynesia 282 865 583 2.061
21 North America MX Mexico 130 564 188 268 866 2.059
22 Africa TN Tunisia 11 967 557 24 337 2.034
23 Europe PL Poland 37 796 609 75 454 1.996
24 North America US USA 333 341 930 659 396 1.978
25 Europe GB United Kingdom 68 315 830 134 647 1.971
26 South America CL Chile 19 313 885 37 261 1.929
27 Europe RO Romania 19 082 792 35 215 1.845
28 Europe ES Spain 46 776 619 85 638 1.831
29 South America EC Ecuador 17 965 451 32 448 1.806
30 Europe LT Lithuania 2 676 409 4 740 1.771
31 Europe PT Portugal 10 160 838 17 882 1.760
32 Europe FR France 65 447 670 113 760 1.738
33 South America UY Uruguay 3 488 244 6 042 1.732
34 Asia AM Armenia 2 969 922 5 075 1.709
35 Europe AD Andorra 77 414 130 1.679
36 Europe MD Moldova 4 022 652 6 559 1.631
37 North America PA Panama 4 396 496 7 148 1.626
38 Europe XK Kosovo 1 782 115 2 823 1.584
39 South America BO Bolivia 11 864 687 18 608 1.568
40 North America MQ Martinique 374 914 576 1.536
41 Europe LI Liechtenstein 38 260 58 1.516
42 Europe SE Sweden 10 175 157 14 729 1.448
43 North America AW Aruba 107 312 155 1.444
44 Africa ZA South Africa 60 208 948 85 469 1.419
45 Europe LV Latvia 1 861 016 2 628 1.412
46 Europe GR Greece 10 361 614 14 311 1.381
47 Asia IR Iran 85 287 214 115 619 1.356
48 Europe RU Russia 146 009 932 195 041 1.336
49 North America SX Sint Maarten 43 462 58 1.335
50 Africa NA Namibia 2 596 250 3 437 1.324
51 Europe LU Luxembourg 638 231 834 1.307
52 South America SR Suriname 592 964 773 1.304
53 Europe UA Ukraine 43 416 650 54 651 1.259
54 North America VG British Virgin Islands 30 473 37 1.214
55 Asia LB Lebanon 6 788 561 8 210 1.209
56 Europe CH Switzerland 8 730 885 10 540 1.207
57 North America BS Bahamas 397 770 469 1.179
58 Europe AT Austria 9 068 333 10 641 1.173
59 North America CR Costa Rica 5 150 153 5 870 1.140
60 Europe DE Germany 84 106 935 92 847 1.104
61 Africa SC Seychelles 99 081 106 1.070
62 Europe NL Netherlands 17 180 588 18 090 1.053
63 Europe IE Ireland 5 004 207 5 155 1.030
64 Asia JO Jordan 10 325 135 10 563 1.023
65 Europe MT Malta 442 961 450 1.016
66 Africa SZ Eswatini 1 174 631 1 190 1.013
67 Europe EE Estonia 1 327 611 1 315 0.991
68 North America TT Tobago 1 404 952 1 386 0.987
69 Australia/Oceania GU Guam 172 400 170 0.986
70 Africa BW Botswana 2 408 714 2 337 0.970
71 South America PR Puerto Rico 3 193 694 3 028 0.948
72 North America BZ Belize 406 310 384 0.945
73 North America CW Curaçao 164 902 155 0.940
74 North America HN Honduras 10 094 152 9 400 0.931
75 Europe AL Albania 2 874 007 2 557 0.890
76 Europe MC Monaco 39 577 35 0.884
77 South America GY Guyana 791 127 696 0.880
78 Europe RS Serbia 8 694 903 7 633 0.878
79 North America MF Saint Martin 39 459 33 0.836
80 Asia IL Israel 9 326 000 7 452 0.799
81 Asia KZ Kazakhstan 19 047 134 15 031 0.789
82 Asia BH Bahrain 1 772 491 1 388 0.783
83 Asia OM Oman 5 262 619 4 090 0.777
84 South America GF French Guiana 307 980 231 0.750
85 North America LC Saint Lucia 184 639 136 0.737
86 Europe JE Jersey 107 800 78 0.724
87 North America CA Canada 38 140 802 27 281 0.715
88 Asia TR Turkey 85 432 003 60 641 0.710
89 North America GT Guatemala 18 314 139 12 859 0.702
90 Asia MY Malaysia 32 865 233 22 009 0.670
91 Africa LY Libya 6 983 764 4 469 0.640
92 Australia/Oceania WF Wallis and Futuna 11 001 7 0.636
93 Africa YT Mayotte 280 723 176 0.627
94 Asia AZ Azerbaijan 10 249 267 6 167 0.602
95 Australia/Oceania FJ Fiji 904 272 540 0.597
96 North America JM Jamaica 2 976 747 1 757 0.590
97 North America CU Cuba 11 318 277 6 523 0.576
98 Africa CV Cabo Verde 563 259 324 0.575
99 North America BM Bermuda 62 000 35 0.565
100 Europe IM Isle of Man 85 575 48 0.561
101 Asia KW Kuwait 4 346 579 2 433 0.560
102 Asia LK Sri Lanka 21 521 481 11 699 0.544
103 Asia IQ Iraq 41 307 212 21 631 0.524
104 North America TC Turks and Caicos Islands 39 347 20 0.508
105 Asia ID Indonesia 277 006 957 139 682 0.504
106 North America AG Antigua and Barbuda 98 906 48 0.485
107 North America SV El Salvador 6 525 653 3 053 0.468
108 Europe DK Denmark 5 816 793 2 617 0.450
109 Asia CY Cyprus 1 217 949 534 0.438
110 Europe BY Belarus 9 445 574 3 953 0.418
111 Asia MV Maldives 551 996 227 0.411
112 Africa RE Réunion 903 011 358 0.397
113 Asia KG Kyrgyzstan 6 653 696 2 581 0.388
114 Asia NP Nepal 29 767 130 10 991 0.369
115 North America DO Dominican R. 10 978 933 4 022 0.366
116 Africa MA Morocco 37 437 339 13 664 0.365
117 Asia PH Philippines 111 336 794 35 743 0.321
118 Asia IN India 1 396 346 320 443 497 0.318
119 North America GD Grenada 113 151 35 0.309
120 Asia MM Myanmar 54 849 348 16 784 0.306
121 Africa ZW Zimbabwe 15 123 321 4 551 0.301
122 Asia MN Mongolia 3 341 810 991 0.296
123 Asia SA Saudi Arabia 35 466 274 8 640 0.244
124 Asia QA Qatar 2 807 805 604 0.215
125 Asia TH Thailand 70 011 161 14 953 0.214
126 Asia AE Arab Emirates 10 034 281 2 068 0.206
127 North America BL St. Barth 9 913 2 0.202
128 North America MS Montserrat 4 996 1 0.200
129 Africa ZM Zambia 19 002 051 3 636 0.191
130 Europe FI Finland 5 551 099 1 051 0.189
131 Africa ST Sao Tome and Principe 224 053 42 0.188
132 Africa LS Lesotho 2 162 710 403 0.186
133 North America BB Barbados 287 799 53 0.184
134 Asia AF Afghanistan 39 981 941 7 183 0.180
135 North America KN Saint Kitts and Nevis 53 652 9 0.168
136 Africa KM Comoros 891 868 147 0.165
137 Asia VN Vietnam 98 393 615 16 186 0.165
138 Asia BD Bangladesh 166 665 601 27 058 0.162
139 Africa EG Egypt 104 655 540 16 898 0.162
140 Africa MR Mauritania 4 796 430 760 0.159
141 Africa DJ Djibouti 1 005 292 157 0.156
142 Europe NO Norway 5 472 316 853 0.156
143 South America VE Venezuela 28 338 731 4 231 0.149
144 Asia JP Japan 126 009 310 16 894 0.134
145 Africa GM Gambia 2 498 174 330 0.132
146 Africa DZ Algeria 44 803 436 5 630 0.126
147 Asia KH Cambodia 16 997 473 2 069 0.122
148 Asia PK Pakistan 226 049 861 26 931 0.119
149 North America VC Saint Vincent 111 365 13 0.117
150 Asia SY Syria 18 011 395 2 090 0.116
151 Africa MW Malawi 19 723 640 2 246 0.114
152 Africa SN Senegal 17 273 809 1 838 0.106
153 Europe GG Guernsey 174 853 18 0.103
154 North America DM Dominica 72 202 7 0.097
155 Europe IS Iceland 343 912 33 0.096
156 Africa GQ Equatorial Guinea 1 458 270 136 0.093
157 Africa KE Kenya 55 194 835 4 949 0.090
158 Africa RW Rwanda 13 337 902 1 184 0.089
159 Africa GA Gabon 2 288 836 174 0.076
160 Asia TL Timor-Leste 1 348 643 100 0.074
161 Africa GW Guinea-Bissau 2 023 887 130 0.064
162 Africa UG Uganda 47 474 041 3 034 0.064
163 Africa SO Somalia 16 425 552 1 041 0.063
164 Africa SD Sudan 45 079 443 2 831 0.063
165 Africa MZ Mozambique 32 306 692 1 898 0.059
166 Asia YE Yemen 30 615 469 1 604 0.052
167 North America HT Haiti 11 569 889 596 0.051
168 Africa CM Cameroon 27 339 617 1 368 0.050
169 Africa LR Liberia 5 200 513 245 0.047
170 Asia KR South Korea 51 322 397 2 386 0.046
171 Asia BN Brunei Darussalam 442 525 20 0.045
172 Australia/Oceania AU Australia 25 856 146 1 114 0.043
173 Africa ET Ethiopia 118 384 350 5 035 0.043
174 Europe FO Faroe Islands 49 087 2 0.041
175 Africa AO Angola 34 092 919 1 360 0.040
176 South America MP Northern Mariana Islands 56 200 2 0.036
177 Africa MU Mauritius 1 274 313 45 0.035
178 Asia TW Taiwan 23 868 756 839 0.035
179 Africa GH Ghana 31 852 662 1 098 0.035
180 Asia UZ Uzbekistan 34 052 989 1 175 0.035
181 Africa MG Madagascar 28 546 012 956 0.034
182 Africa CG Congo 5 681 248 183 0.032
183 North America NI Nicaragua 6 719 454 202 0.030
184 North America KY Cayman Islands 66 651 2 0.030
185 Asia HK Hong Kong 7 570 260 213 0.028
186 Africa GN Guinea 13 560 517 368 0.027
187 Africa ML Mali 20 950 971 543 0.026
188 Africa TG Togo 8 511 861 209 0.025
189 Australia/Oceania PG Papua New Guinea 9 150 836 204 0.022
190 Africa CF Central African R. 4 930 779 100 0.020
191 Africa CI Ivory Coast 27 162 936 540 0.020
192 Africa SL Sierra Leone 8 172 011 121 0.015
193 Australia/Oceania NC New Caledonia 288 804 4 0.014
194 Africa NG Nigeria 212 277 004 2 640 0.012
195 Africa BJ Benin 12 504 542 146 0.012
196 Africa CD DR Congo 92 828 746 1 068 0.011
197 Africa ER Eritrea 3 605 501 40 0.011
198 Africa SS South Sudan 11 351 747 121 0.011
199 Africa TD Chad 16 991 641 174 0.010
200 Asia SG Singapore 5 905 778 58 0.010
201 Africa BF Burkina Faso 21 591 469 172 0.008
202 Africa NE Niger 25 256 968 200 0.008
203 Australia/Oceania NZ New Zealand 5 002 100 27 0.005
204 Asia BT Bhutan 781 840 3 0.004
205 Asia PS Palestine 5 243 910 19 0.004
206 Asia LA Laos 7 402 623 16 0.002
207 Africa BI Burundi 12 315 795 12 0.001
208 Africa TZ Tanzania 61 776 638 50 0.001
209 North America AI Anguilla 15 164 0 0.000
210 Australia/Oceania AS American Samoa 56 700 0 0.000
211 Australia/Oceania CK Cook Islands 15 200 0 0.000
212 Asia CN China 1 439 323 776 0 0.000
213 South America FK Falkland Islands 3 602 0 0.000
214 North America GL Greenland 56 889 0 0.000
215 Australia/Oceania KI Kiribati 120 100 0 0.000
216 Asia KP North Korea 25 660 000 0 0.000
217 Australia/Oceania MH Marshall Islands 59 671 0 0.000
218 Australia/Oceania NR Nauru 11 000 0 0.000
219 Australia/Oceania NU Niue 1 784 0 0.000
220 North America PM Saint Pierre 5 760 0 0.000
221 Australia/Oceania PN Pitcairn Islands 50 0 0.000
222 Australia/Oceania PW Palau 17 900 0 0.000
223 Australia/Oceania SB Solomon Islands 707 119 0 0.000
224 Asia TJ Tajikistan 9 795 092 0 0.000
225 Australia/Oceania TK Tokelau 1 499 0 0.000
226 Europe TM Turkmenistan 6 118 000 0 0.000
227 Australia/Oceania TO Tonga 100 651 0 0.000
228 Australia/Oceania TV Tuvalu 10 507 0 0.000
229 Australia/Oceania VU Vanuatu 315 769 0 0.000
230 Australia/Oceania WS Samoa 200 003 0 0.000
231 Europe VA Vatican City 803 0 0.000
232 Australia/Oceania FM Micronesia 116 475 0 no data

Elhalálozási adatok hozzávetőleges értékei 2018: Abortusz: 56 millió, Rákbetegség: 9,6 millió.

COVID-19, Mi segíthet? - What can help? Above all, active prevention.

* ÚV lámpa (neon) használata a helységekben.
* Azelastine: [1], [2] , [*], [3], nálunk Szlovákiában, mint Allergodil, orr spray ismert. (5ml recept nélkül vásárolható)
* Cistus creticus (Cystus pandalis): [4], [5] nálunk, mint ViroStop ismert, torokspray (de van orrspay és tabletta is) Cistus a Vironal
* Artemisinin + Zinc: [6] egynyáriüröm kivonat, tabletta (Nagyon jó többfajta rákbetegségre is, de konzultálni kell az orvossal, ha más gyógyszereket is szedünk).
* Inosine pranobex: [9]
* Melatonin [10] , Quercetin (Kvercetín) [8] , Fluvoxamine [11] , NAC, N-acetylcysteín
* Ivermectin: [7] , [Ivermectin Triple Therapy Protocol for COVID-19 to Australian GP] , [Prof. Marik] , [SK, konečne] _
Ivermectin statisztikai adatok: [Epidemiologic Analyses on COVID-19 and Ivermectin] , [Dr. Thomas Borody, Australia] , [CZ]
[FLCCC, Ivermectin video], [A sok tesztelés nem segít], [FLCCC, Ivermectin] , [SK] , [Ivermectin, Vitamin D, Melatonin] , [Tanulmányok] , [ivmmeta.com]

Allergodil ViroStop D3 Artemisinin Artemisinin Zinc Melatonin Quercetin Ivermectin Inosine Galmektin

Az aktív prevenció abban van, hogy az Allergodil és a ViroStop meggátolja a vírus elszaporodását az orr és a száj nyálkahártyán. Mindezt "in-vitro" bizonyították. Az Allergodilt elegendő naponta egyszer (reggel) használni prevenciónak (de lehet többször is). A ViroStop-ot érdemes naponta többször is használni. A többi gyógyszer inkább csak akkor kell, ha a vírus mégis valahogyan nagyobb mennyiségben bejutna a szervezetünkbe, akkor az már fel legyen rá készülve. (Természetesen itt nem említek meg olyan alapvető dolgokat, mint a C vitamín, Aspirin, B1 stb.) Sajnos, relatíve kevés tanulmány foglalkozik az aktív megelőzéssel. Statistic Általában bizonyított COVID pozitív betegeken kísérleteznek, viszont a legjobb, ha el sem kapjuk ezt a betegséget, tehát meggátoljuk, hogy bejusson a szervezetünkbe. Az Ivermectint szintén használhatjuk preventíve, nagyon sok orvos már javasolja főleg időseknek. Tatiana Betáková (Szlovák Tudományos Akadémia): "Kérdés az, hogy a vírus továbbra is fog szaporodni a mi nyálkahártyankon, ha be leszünk oltva? Ezt még nem tudjuk, azért az oltás után is javasolva lesz a maszk viselése, hogy másokat ne fertőzzünk meg."
(This information has been compiled based on thousands of scientific studies. Anyone can check this here: [Google Scholar], [FLCCC Alliance] , [Protocol PDF] , [Hatásos gyógymód])
[Az oltás megoldás lesz?], [Mi történt Izraelben? PDF] ([PDF translate]) és [Israel CZ] , [Angliai jelentés] , [USA adatok] , [Furcsa eredmények] , [Agyi karosodások a covid után] , [Németországi adatok]
Mi mindent csináltak rosszul a COVID-19 kapcsán, mert nálunk is az történt, ami az USA-ban: [Link 1. video] vagy [Link 2. video] , [Link 3. cikk] , [DOC. MUDR. TÖRÖK az Ivermectinről] , [Ivermectin tapasztalatok] , [EU adatok a gyógyszerek mellékhatásairól, köztük a COVID vakcinák is]

Egy tudós (specialista a vakcinákra):
[Figyelmezteti a világot a lehetséges következményekre] , [VACCINATION WARNING]
HU: [G. V. Bossche figyelmeztésének rövid kivonata]
SK: [Varovanie od G. V. Bossche v skratke]
[Dr. Tenpenny, mRNA]
Latest SPR Covid Updates

Az Európa Tanács (ET) a 2361 (2021) állásfoglalásban úgy határozott, hogy betiltja a tagállamok oltási kötelezettségeinek előírását.
EU-tagállamok kötelesek:
7.3.1 annak biztosítása, hogy az állampolgárok tájékoztatást kapjanak arról, hogy az oltás NEM kötelező, és hogy senkit sem politikai, társadalmi vagy egyéb módon nem kényszerítenek oltásra, hacsak nem akarják
7.3.2 annak biztosítása, hogy senkit ne érjen hátrányos megkülönböztetés, mert esetleges egészségügyi kockázatok miatt nem oltották be, vagy nem oltották be
7.1.5 független kompenzációs programok létrehozása az oltásokkal szemben az aránytalan és az oltásokkal okozott károk megtérítése érdekében

STOP VACCINATION - Why?

DR. ZELENKO
Prof. RNDr. Jaroslav Turánek, CSc. DSc.
Dr. Robert Malone, inventor of mRNA technology
Prof. MUDr. Jiří Beran, CSc.


SK: [Pravidelné a celoplošné testovanie?]
2021-02-17
Jeden z najrenomovanejších lekárskych časopisov na svete „The Lancet“ publikuje štúdiu, ktorá ukazuje, že PCR test je na detekciu SARS-CoV-2 nepoužiteľný: I-MASK

"Väčšina ľudí infikovaných SARS-CoV-2 je nákazlivá po dobu 4–8 dní. Všeobecne sa nezistí, že by vzorky obsahovali kultúrne pozitívny (potenciálne nákazlivý) vírus po 9. dni po objavení sa symptómov, pričom väčšina prenosu nastala pred 5. dňom."

Uvedené platí aj pre antigenové aj pre protilátkové testy. Pred nástupom príznakov ochorenia 5 až 8 dní ešte nič nezistia, ale práve v tomto období pacient najviac infikuje svoje okolie. Na základe týchto informácií je úplne zbytočné robiť pravidelné plošné testovanie, ako je to na Slovenku. Zvyšuje sa iba nákaza. Potvrdenia vydané na jeden týždeň (covid negative) sú nanič.
Niektorí ľudia už museli absolvovať 48 testov, aby mohli chodiť do roboty. Neviem ako to "naši odborníci" odôvodňujú, ale je to proti zdravému rozumu a vyhadzovaniu peňazí. Nikde vo svete to takto nerobia, iba na Slovensku. (Asi naši "odborníci" majú patent na rozum.) [Dr. Horáková vrátila štátné vyznamenanie] , [Ivermectin na Slovensku video] , [News]
Čo všetko robili zle "odborníci", lebo to isté, čo sa stalo v USA, stalo sa aj u nás: [Link 1.] alebo [Link 2.] , [Link 3. text]

Je dôležité vedieť, že pacient môže žiadať od lekára liečenie pomocou Ivermectinu (po celom Slovensku aj v nemocniciach) v prípade COVID-19.

Kiszámolt értékek

New Cases, az új esteket százalékos értékei:
case120 = 100 * ws_case_120_days / ws_population
case30 = (120/30) * 100 * ws_case_30_days / ws_population
case7 = (120/7) * 100 * ws_case_7_days / ws_population

Relative Mortality számolása:
mortality120 = 100 * ws_death_120_days / (ws_case_127_days - ws_case_7_days)
mortality30 = 100 * ws_death_30_days / (ws_case_37_days - ws_case_7_days)

Ahol, ws_case_7_days (30,37,120,127), mindig az utolsó leadott jelentéstől kiszámított esetek száma, tehát
- ha Hungary utolsó jelentése 2021-02-10 volt, akkor onnan van számolva neki a 7,30,37,120,127 napos új esetek száma
- ha Szlovákia utolsó jelentése 2021-02-11 volt , akkor onnan van számolva neki a 7,30,37,120,127 napos új esetek száma
Ez azt jelenti, hogy lehet egy napos eltérés Szlovákia es Hungary kiszámolt értékei közt, de ezzel nem igen lehet semmit kezdeni.
Tekintettel arra, hogy a mortalitást 30 napra számolom, az ebből következő eltéres mértéke igen kicsi.
Itt sajnos probléma van USA és JAPAN esetében is, mivel más időzónában vannak, és mindenki máskor adja le a jelentést.
A WHO ezért 1-2 napos késéssel közli az adatokat. Ezen a weboldalon a WorldoMeter-től is aktualizálom az adatokat, melyek néhány ország esetében csak 1 napos vagy fél napos késéssel jönnek.
A kiszámolt értekek szempontjábol viszont ennek nincs nagy jelentősége, mert az eltérés igen kicsi a 30 napos átlagokat illetően.

Nagyon érdekes, ha ezeket az adatokat összehasonlítjuk "Our World in Data" által kiszámolt elhalálozási adatokkal.
Ott ugyanis az összes átlagon felüli elhalálozást veszik, nem csak a COVID-19 betegekét, amiből következtetni lehet a valódi elhalálozás mértékére, ami a COVID-19 kapcsán történik (függetlenül attól, hogy mit mondanak a COVID-19 kimutatások az adott országban). Az eltérő értékeknek több oka is lehet, például kevesebb ember kap színvonalas orvosi ellátást, vagy egyéb okok (mint például a kimutatások pontalansága) stb. Az is nagyon érdekes, ha összehasonlítjuk Izrael mortalitási adatatit más országokéval pl. Szlovákiával, akkor látható, hogy Izreaelben sokkal jobb eredményeket érnek el. Ez a vakcinázást megelőzően is igaz.

OurWorldInData: "https://github.com/owid/covid-19-data/tree/master/public/data", Slovakia: "https://github.com/Institut-Zdravotnych-Analyz/covid19-data"