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author=Axel Schudak;
description=CoviMeter presents data from the JHU on Covid-19 / Corona in the form of diagrams and statistics by nation and groups!;
keywords=Covid-19, Corona, data, analysis, statistic, diagram, dashboard;

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groups, regions, according, to, the, diagrams, and, united, nations, regional, covimeter, covid, 19, statistics, 23, 03, 08, geoscheme, oceania, combined, who, data, by, country, glossary, origin, calculations, group, comparisons, selected,

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16273, 33106, 1587720, 339688, 4546, 5274, 5333, 4899, 6066, 366435, 23002, 5535, 5629, 3348, 890, 64736, 94254, 3546809, 902677, 4769, 5706, 5743, 23285, 22695, 247734, 346303, 1608, 10058, 10190, 4641, 1056, 78215, 122245, 4603184, 1438009, 4582, 34667, 35050, 3948, 68042, 93309, 1991813, 955821, 770, 32634, 33006, 2205, 438, 497, 63044, 2068394, 762784, 761, 974, 257705, 9002, 1284, 40797, 110, 41179, 1720, 10825, 33557, 1217452, 492676, lists, find, grouplist, comparison, m49, geographical, subregions, continent, comparisons, datatable, infection, risk, calculator, auch, auf, deutsch,

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ts or groups are welcome to feedback covimeter info selected diagrams groups click on the header to sort click on the name for the groups dashboard origin and calculations for the data and terms are given in the glossary click top row to sort country pop incidence r7 d7i active deaths infected active deaths infected active deaths infected active deaths recovered vacc country mio indices absolute values δ 1day δ 7day growthrate 7d cases per 100 000 global 7792 42 10 9 0 87 0 8 1821643 6874762 179342 68387 1445 6016 0 02 1 78 0 01 8675 3 23 4 88 2 8563 7 8 56 22 88 global eu 447 94 47 2 0 75 3 8 492676 1217452 33557 10825 290 1720 0 02 0 85 0 02 41179 5 110 0 271 8 40797 7 40 8 50 38 eu africa 1284 47 0 4 1 08 0 0 9002 257705 1611 699 10 23 0 01 0 73 0 0 974 9 0 7 20 1 954 1 0 95 0 0 africa europe 761 58 46 4 0 86 2 9 762784 2068394 63044 497 438 2205 0 02 0 48 0 02 33006 0 100 2 271 6 32634 3 32 63 29 63 europe g7 770 36 56 3 0 83 5 1 955821 1991813 93309 68042 954 3948 0 02 2 19 0 03 35050 4 124 1 258 6 34667 8 34 67 22 12 g7 g20 4582 31 14 3 0 83 1 0 1438009 4603184 122245 78215 1056 4641 0 02 1 65 0 01 10190 1 31 4 100 5 10058 2 10 06 32 16 g20 flatliners 1608 95 10 7 0 98 0 4 346303 247734 22695 23285 89 597 0 03 5 04 0 03 5743 6 21 5 15 4 5706 7 5 71 4 15 flatliners most populous 4769 49 8 8 0 86 0 7 902677 3546809 94254 64736 890 3348 0 02 1 91 0 01 5629 0 18 9 74 4 5535 7 5 54 28 68 most populous asean 667 91 1 4 0 71 0 1 23002 366435 6066 4899 13 93 0 0 4 06 0 0 5333 1 3 4 54 9 5274 8 5 27 4 21 asean oceania 40 45 75 9 1 09 2 3 58766 23877 53 39 0 92 0 03 1 32 0 06 34279 4 145 3 59 0 34075 1 34 08 0 0 oceania asia 4546 98 3 6 0 95 0 2 339688 1587720 33106 16273 138 719 0 01 5 08 0 01 4566 6 7 5 34 9 4524 2 4 52 28 19 asia america 1012 2 29 2 0 83 2 9 651403 2937066 81528 52355 859 2977 0 02 1 47 0 01 18832 1 64 4 290 2 18477 6 18 48 27 25 america female heads of state 607 07 15 8 0 59 1 5 258810 440155 21396 25316 142 893 0 02 6 11 0 03 14279 9 42 6 72 5 14164 7 14 16 42 03 female heads of state regions according to the united nations geoscheme oceania combined click on the header to sort click on the name for the regions dashboard origin and calculations for the data and terms are given in the glossary click top row to sort country pop incidence r7 d7i active deaths infected active deaths infected active deaths infected active deaths recovered vacc country mio indices absolute values δ 1day δ 7day growthrate 7d cases per 100 000 global 7792 42 10 9 0 87 0 8 1821643 6874762 179342 68387 1445 6016 0 02 1 78 0 01 8675 3 23 4 88 2 8563 7 8 56 22 88 global south america 430 32 8 4 0 41 0 6 124269 1350310 5396 6300 40 274 0 01 0 3 0 0 15792 4 28 9 313 8 15449 7 15 45 61 4 south america western asia 273 48 4 9 1 22 0 4 24401 233757 5455 271 33 106 0 01 1 64 0 01 13152 6 8 9 85 5 13058 2 13 06 2 46 western asia central asia 74 41 0 3 0 15 0 0 1609 23824 211 130 2 2 0 0 0 84 0 0 2653 4 2 2 32 0 2619 2 2 62 2 22 central asia northern europe 104 8 31 1 0 95 2 0 66845 294724 1406 0 29 208 0 01 0 18 0 01 36769 6 63 8 281 2 36424 6 36 42 14 67 northern europe eastern europe 291 46 47 2 1 12 1 9 260887 864075 32219 12842 162 567 0 04 0 7 0 01 17136 7 89 5 296 5 16750 7 16 75 10 96 eastern europe western europe 197 37 67 1 0 65 4 5 336666 429989 22946 14340 137 888 0 02 1 56 0 03 51814 8 170 6 217 9 51426 4 51 43 60 56 western europe southern europe 152 86 30 5 1 0 3 2 93277 448459 4113 2569 95 490 0 01 0 3 0 02 37568 3 61 0 293 4 37213 9 37 21 38 48 southern europe eastern asia 1632 11 8 6 0 96 0 3 287936 227867 22698 23283 89 505 0 03 6 0 0 03 4889 3 17 6 14 0 4857 7 4 86 4 09 eastern asia southeastern asia 667 91 1 4 0 71 0 1 23003 366573 6067 4900 13 93 0 0 4 06 0 0 5336 6 3 4 54 9 5278 3 5 28 4 21 southeastern asia southern asia 1915 43 0 3 1 67 0 0 9214 772865 1139 644 16 69 0 0 6 02 0 0 3028 5 0 5 40 3 2987 7 2 99 61 53 southern asia northern africa 244 48 0 1 1 29 0 1 595 89781 85 59 7 17 0 0 1 81 0 0 1573 0 0 2 36 7 1536 0 1 54 0 0 northern africa western africa 385 24 0 0 0 53 0 0 507 11178 9 47 0 0 0 0 0 19 0 0 230 0 0 1 2 9 226 9 0 23 0 0 western africa eastern africa 408 3 0 3 2 1 0 0 1881 38489 899 163 3 4 0 01 1 15 0 0 653 4 0 5 9 4 643 5 0 64 0 0 eastern africa middle africa 179 77 0 0 0 09 0 0 264 6623 21 11 0 0 0 0 8 64 0 0 248 1 0 1 3 7 244 3 0 24 0 0 middle africa southern africa 66 69 4 3 1 0 0 0 5755 111634 597 535 0 2 0 01 2 74 0 0 7012 5 8 6 167 4 6836 4 6 84 0 0 southern africa central america 174 97 15 6 0 82 0 9 60256 387480 10254 1165 51 158 0 03 0 59 0 01 6698 1 34 4 221 5 6442 2 6 44 0 0 central america caribbean 39 45 2 3 0 87 0 4 1927 24396 182 133 9 17 0 0 2 67 0 01 6520 8 4 9 61 8 6454 0 6 45 29 36 caribbean oceania 40 45 75 9 1 09 2 3 58766 23877 53 39 0 92 0 03 1 32 0 06 34279 4 145 3 59 0 34075 1 34 08 0 0 oceania north america 367 45 62 9 0 99 6 9 464951 1174880 65696 47353 759 2528 0 03 1 89 0 03 29492 1 126 5 319 7 29045 9 29 05 0 0 north america regions according to the united nations regional groups click on the header to sort click on the name for the regions dashboard origin and calculations for the data and terms are given in the glossary klicke zum sortieren land bev inzidenz r7 d7i aktiv tote neu aktiv tote gesamt aktive tote gesamt aktive tote erholt impf land mio indizes absolute werte δ vortag δ 7 tage wachstumsrate fälle je 100 000 global 7792 42 10 9 0 87 0 8 1821643 6874762 179342 68387 1445 6016 0 02 1 78 0 01 8675 3 23 4 88 2 8563 7 8 56 22 88 global unr african group 1280 39 0 4 1 09 0 0 9001 256708 1611 699 10 23 0 01 0 74 0 0 973 0 0 7 20 0 952 3 0 95 0 0 unr african group unr asia and the pacific group 4454 65 3 6 0 95 0 2 332402 1473903 31444 17678 120 686 0 01 5 18 0 01 4170 8 7 5 33 1 4130 3 4 13 28 62 unr asia and the pacific group unr eastern european group 338 14 45 4 1 14 2 0 287620 997220 36869 11383 191 691 0 04 0 64 0 01 18540 9 85 1 294 9 18161 0 18 16 10 03 unr eastern european group unr latin american and caribbean group 644 45 9 9 0 52 0 7 186452 1762186 15832 5002 100 449 0 01 0 23 0 0 12762 8 28 9 273 4 12460 4 12 46 42 8 unr latin american and caribbean group unr western european and others group 915 79 50 7 0 86 4 5 1003484 2386569 93637 57867 1024 4146 0 02 1 37 0 02 36298 8 109 6 260 6 35928 6 35 93 21 67 unr western european and others group regions according to the who regional groups click on the header to sort click on the name for the regions dashboard origin and calculations for the data and terms are given in the glossary klicke zum sortieren land bev inzidenz r7 d7i aktiv tote neu aktiv tote gesamt aktive tote gesamt aktive tote erholt impf land mio indizes absolute werte δ vortag δ 7 tage wachstumsrate fälle je 100 000 global 7792 42 10 9 0 87 0 8 1821643 6874762 179342 68387 1445 6016 0 02 1 78 0 01 8675 3 23 4 88 2 8563 7 8 56 22 88 global who african region 1066 59 0 4 1 08 0 0 8470 173255 1530 641 3 6 0 01 0 73 0 0 834 9 0 8 16 2 817 9 0 82 0 0 who african region who region of the americas 1012 2 29 2 0 83 2 9 651403 2937066 81528 52355 859 2977 0 02 1 47 0 01 18832 1 64 4 290 2 18477 6 18 48 27 25 who region of the americas who south east asia region 2228 78 0 2 1 24 0 0 7867 834536 793 344 4 33 0 0 3 33 0 0 2797 5 0 4 37 4 2759 7 2 76 52 88 who south east asia region who european region 1075 06 33 2 0 86 2 1 771679 2206035 64917 1038 458 2240 0 02 0 47 0 01 25597 4 71 8 205 2 25320 4 25 32 21 77 who european region who eastern mediterranean region 492 85 1 8 1 32 0 2 16016 319045 2069 388 22 98 0 01 0 03 0 0 4403 9 3 2 64 7 4335 9 4 34 0 0 who eastern mediterranean region who western pacific region 1912 85 9 4 0 96 0 3 366239 404480 28520 18427 99 662 0 02 4 69 0 02 6128 4 19 1 21 1 6088 1 6 09 4 96 who western pacific region data by country click on the header to sort click on the name for the countries dashboard only countries with more then 100 infections and more then 100 000 citizens are listed origin and calculations for the data and terms are given in the glossary click top row to sort country pop incidence r7 d7i active deaths infected active deaths infected active deaths infected active deaths recovered vacc country mio indices absolute values δ 1day δ 7day growthrate 7d cases per 100 000 china 1401 856 0 0 0 0 0 0 1 101055 0 0 0 4 0 0 13 1 0 0 349 8 0 0 7 2 342 6 0 34 0 0 china italy 60 243 44 3 0 91 3 8 56096 188322 0 0 0 228 0 01 0 42 0 02 42500 1 93 1 312 6 42094 4 42 09 84 47 italy iran 83 298 3 7 2 09 0 8 4575 144922 644 384 15 64 0 01 6 95 0 01 9090 2 5 5 174 0 8910 7 8 91 0 0 iran spain 47 1 15 1 0 96 2 1 14473 119479 0 0 0 99 0 01 0 05 0 01 29236 3 30 7 253 7 28951 9 28 95 0 0 spain germany 83 149 61 7 0 42 7 6 172319 168808 9621 15417 99 633 0 02 3 35 0 05 45991 0 207 2 203 0 45580 8 45 58 78 02 germany us 329 488 67 3 0 99 7 1 446939 1123246 64861 47071 730 2349 0 03 1 9 0 03 31490 0 135 6 340 9 31013 4 31 01 0 0 us france 67 069 42 8 1 1 2 0 54918 166165 6111 1509 27 136 0 01 0 7 0 01 59431 9 81 9 247 8 59102 3 59 1 81 5 france korea south 51 781 138 3 1 12 1 5 135485 34081 10890 45 20 78 0 03 0 01 0 03 59105 5 261 7 65 8 58778 0 58 78 86 58 korea south switzerland 8 587 17 1 1 07 0 2 2852 14209 0 0 2 2 0 0 1 32 0 0 51404 6 33 2 165 5 51205 9 51 21 0 0 switzerland united kingdom 66 436 39 8 0 92 0 0 55091 220721 76 68 0 0 0 02 0 22 0 0 37073 4 82 9 332 2 36658 2 36 66 0 0 united kingdom netherlands 17 447 21 9 0 83 0 0 8428 23707 0 0 0 0 0 01 0 04 0 0 49939 4 48 3 135 9 49755 3 49 76 0 0 netherlands austria 8 903 407 1 0 89 6 5 77147 21949 6442 1037 8 58 0 09 0 22 0 04 66900 2 866 6 246 5 65787 1 65 79 0 0 austria belgium 11 524 88 0 1 08 5 0 19522 33775 0 0 0 58 0 03 4 77 0 02 41023 9 169 4 293 1 40561 4 40 56 0 0 belgium norway 5 368 6 8 1 14 7 1 686 5213 61 13 0 38 0 0 2 0 0 1 27562 7 12 8 97 1 27452 8 27 45 0 0 norway sweden 10 334 6 9 1 06 6 7 1376 23731 0 0 0 69 0 0 2 44 0 04 26114 4 13 3 229 7 25871 5 25 87 0 0 sweden denmark 5 823 13 7 1 04 3 9 1558 8341 140 20 7 23 0 0 0 35 0 04 59265 3 26 8 143 2 59095 2 59 1 82 16 denmark japan 126 01 55 1 0 84 3 4 152446 72917 11805 6849 69 423 0 03 3 76 0 08 26434 9 121 0 57 9 26256 0 26 26 0 0 japan malaysia 32 726 4 4 1 01 0 2 2852 36967 235 6 1 7 0 0 0 34 0 0 15414 3 8 7 113 0 15292 6 15 29 85 96 malaysia canada 37 965 24 4 1 06 4 7 18012 51634 835 282 29 179 0 03 1 65 0 05 12150 8 47 4 136 0 11967 3 11 97 0 0 canada portugal 10 277 23 2 1 74 8 4 3765 26266 2389 2389 86 86 0 01 21 62 0 05 54205 4 36 6 255 6 53913 2 53 91 0 0 portugal czechia 10 694 57 2 0 93 4 9 12687 42488 1169 264 4 52 0 02 0 36 0 02 43175 2 118 6 397 3 42659 3 42 66 65 23 czechia australia 25 653 74 7 1 03 3 4 37836 19459 0 0 0 86 0 02 0 91 0 06 44382 9 147 5 75 9 44159 5 44 16 0 0 australia israel 9 175 38 5 0 94 3 6 7286 12325 1662 1405 18 33 0 01 1 15 0 04 52352 8 79 4 134 3 52139 1 52 14 73 27 israel brazil 211 284 6 0 0 19 0 4 78725 699276 0 9646 0 79 0 0 1 69 0 0 17548 0 37 3 331 0 17179 8 17 18 89 64 brazil ireland 4 921 13 2 1 08 3 5 1258 8708 652 69 17 17 0 01 0 74 0 03 34633 8 25 6 176 9 34431 3 34 43 83 46 ireland greece 10 725 0 0 0 0 0 0 34779 0 0 0 0 0 0 0 0 0 51736 1 0 0 324 3 51411 8 51 41 73 98 greece qatar 2 747 25 9 1 12 0 7 1343 688 114 35 0 2 0 02 3 33 0 04 18017 0 48 9 25 0 17943 1 17 94 0 0 qatar pakistan 219 017 0 1 1 05 0 0 602 30644 50 50 0 1 0 0 5 22 0 0 720 2 0 3 14 0 705 9 0 71 0 0 pakistan finland 5 528 14 6 1 38 8 0 1393 8936 0 0 0 44 0 01 0 88 0 07 26466 7 25 2 161 7 26279 9 26 28 81 85 finland turkey 83 155 0 0 0 0 0 0 101492 0 0 0 0 0 0 0 0 0 20495 1 0 0 122 1 20373 1 20 37 0 0 turkey poland 38 386 49 6 1 21 2 4 34702 118989 3903 1140 19 91 0 04 2 95 0 01 16780 9 90 4 310 0 16380 5 16 38 59 58 poland singapore 5 704 77 6 0 5 0 0 13288 1722 4426 4426 0 0 0 03 7 13 0 0 39190 9 233 0 30 2 38927 8 38 93 0 0 singapore chile 19 107 100 7 1 27 4 0 34364 64254 3798 1663 4 77 0 05 3 68 0 02 27154 1 179 8 336 3 26637 9 26 64 0 0 chile luxembourg 0 614 124 8 1 17 1 6 1422 1220 766 599 1 1 0 03 7 61 0 01 51696 9 231 6 198 7 51266 5 51 27 0 0 luxembourg iceland 0 364 12 1 0 47 0 0 138 263 0 0 0 0 0 0 2 82 0 0 57455 2 37 9 72 3 57345 1 57 35 0 0 iceland slovenia 2 094 120 5 1 1 2 9 4827 7077 542 219 1 6 0 03 2 48 0 01 63568 9 230 5 337 9 63000 4 63 0 0 0 slovenia indonesia 266 912 0 6 1 09 0 1 3100 160937 312 100 3 21 0 0 1 37 0 0 2524 4 1 2 60 3 2462 9 2 46 0 0 indonesia bahrain 1 543 160 6 1 04 2 6 4862 1553 448 139 0 4 0 05 3 5 0 04 46025 1 315 0 100 6 45609 5 45 61 0 0 bahrain romania 19 405 29 4 1 09 1 6 10915 67736 0 0 0 32 0 02 2 41 0 01 17243 0 56 2 349 1 16837 7 16 84 0 0 romania saudi arabia 34 218 1 4 1 07 0 1 949 9618 89 35 0 3 0 01 2 11 0 0 2425 7 2 8 28 1 2394 9 2 39 0 0 saudi arabia thailand 66 484 0 2 0 72 0 1 351 33918 0 0 0 7 0 0 1 97 0 0 7111 8 0 5 51 0 7060 2 7 06 0 0 thailand estonia 1 328 23 0 1 11 4 5 581 2946 10 6 0 6 0 01 0 03 0 03 46328 9 43 7 221 8 46063 4 46 06 0 0 estonia ecuador 17 449 0 0 0 0 0 0 543 36014 0 0 0 0 0 0 0 0 0 0 6058 5 3 1 206 4 5849 0 5 85 0 0 ecuador egypt 100 15 0 1 0 0 0 61 24812 61 0 3 3 0 0 0 0 0 515 0 0 1 24 8 490 2 0 49 0 0 egypt peru 32 131 4 0 0 84 2 8 2784 219539 619 753 26 91 0 0 53 7 0 01 13966 3 8 7 683 3 13274 3 13 27 94 46 peru philippines 108 434 0 8 1 34 0 5 1545 66176 119 27 9 58 0 0 1 86 0 01 3760 2 1 4 61 0 3697 7 3 7 0 0 philippines russia 146 745 60 9 1 1 1 9 170696 388440 12253 1656 44 277 0 06 0 56 0 01 15035 2 116 3 264 7 14654 2 14 65 0 0 russia india 1360 054 0 2 1 53 0 0 3622 530776 379 186 1 4 0 0 6 2 0 0 3285 9 0 3 39 0 3246 6 3 25 75 54 india iraq 39 128 0 0 0 0 0 0 25375 0 0 0 0 0 0 0 0 0 6301 2 0 0 64 9 6236 4 6 24 0 0 iraq lebanon 6 825 8 6 0 77 1 2 1346 10840 132 131 0 8 0 01 1 9 0 01 18059 7 19 7 158 8 17881 2 17 88 0 0 lebanon south africa 58 775 4 7 1 0 0 0 5556 102595 597 597 0 0 0 01 3 1 0 0 6919 0 9 5 174 6 6735 0 6 73 0 0 south africa kuwait 4 42 9 1 0 0 0 404 2570 404 194 0 0 0 01 4 63 0 0 15019 1 9 1 58 1 14951 8 14 95 0 0 kuwait united arab emirates 9 89 9 6 1 2 0 0 1732 2349 142 47 0 0 0 01 2 18 0 0 10647 4 17 5 23 8 10606 1 10 61 0 0 united arab emirates panama 4 219 10 9 0 74 1 2 1073 8609 0 0 0 5 0 01 10 64 0 01 24455 6 25 4 204 1 24226 1 24 23 0 0 panama taiwan 23 604 0 0 0 0 0 0 17672 0 16481 0 0 0 0 36 42 0 0 42242 0 0 0 74 9 42167 2 42 17 92 66 taiwan argentina 44 939 1 9 1 02 0 2 1649 130472 0 0 0 9 0 0 2 44 0 0 22352 6 3 7 290 3 22058 6 22 06 92 3 argentina slovakia 5 456 31 9 1 28 1 6 3103 21033 374 84 2 9 0 01 2 42 0 01 48883 7 56 9 385 5 48441 3 48 44 0 0 slovakia armenia 2 958 16 5 0 2 0 489 8727 489 2 6 6 0 02 0 06 0 01 15124 5 16 5 295 1 14812 9 14 81 0 0 armenia mexico 126 578 15 6 0 8 1 0 44569 333170 4416 166 34 132 0 04 0 84 0 01 5909 1 35 2 263 2 5610 7 5 61 0 0 mexico croatia 4 076 8 2 1 02 3 9 660 17987 0 0 0 16 0 0 4 48 0 01 31139 9 16 2 441 3 30682 5 30 68 0 0 croatia bulgaria 7 0 8 5 1 48 1 1 1001 38225 93 23 3 8 0 01 3 63 0 0 18535 0 14 3 546 1 17974 6 17 97 30 09 bulgaria serbia 6 964 96 3 1 45 7 0 11334 17875 954 61 7 49 0 04 1 22 0 04 35889 4 162 8 ...