Fédération de Russie
Statistiques Covid-19 par état/province
| État/ Province | Accel. 1j|2j | Δ 1jour | Δ% 1jour | Total cas | Décès | Taux décès | Δ 1jour | |
|---|---|---|---|---|---|---|---|---|
| Moscow | 2 757 | +0.1% | 1 949 474 | 34 296 | 1.76% | +94 | ||
| Saint Petersburg | 2 419 | +0.3% | 789 691 | 26 263 | 3.33% | +59 | ||
| Moscow Oblast | 2 008 | +0.3% | 591 574 | 10 496 | 1.77% | +47 | ||
| Samara Oblast | 904 | +0.5% | 180 734 | 5 526 | 3.06% | +34 | ||
| Krasnodar Krai | 868 | +0.9% | 99 456 | 8 945 | 8.99% | +42 | ||
| Voronezh Oblast | 741 | +0.4% | 177 995 | 5 806 | 3.26% | +39 | ||
| Krasnoyarsk Krai | 726 | +0.5% | 153 348 | 7 525 | 4.91% | +33 | ||
| Sverdlovsk Oblast | 704 | +0.4% | 179 973 | 8 462 | 4.7% | +33 | ||
| Nizhny Novgorod Oblast | 699 | +0.3% | 215 055 | 8 912 | 4.14% | +39 | ||
| Perm Krai | 695 | +0.5% | 141 465 | 6 869 | 4.86% | +22 | ||
| Bashkortostan Republic | 664 | +0.6% | 107 034 | 3 583 | 3.35% | +38 | ||
| Chelyabinsk Oblast | 655 | +0.5% | 127 473 | 5 167 | 4.05% | +29 | ||
| Rostov Oblast | 650 | +0.4% | 176 194 | 8 762 | 4.97% | +33 | ||
| Irkutsk Oblast | 601 | +0.4% | 139 327 | 6 229 | 4.47% | +28 | ||
| Saratov Oblast | 583 | +0.5% | 120 896 | 4 635 | 3.83% | +25 | ||
| Omsk Oblast | 581 | +0.5% | 115 149 | 2 837 | 2.46% | +13 | ||
| Khabarovsk Krai | 561 | +0.5% | 110 631 | 1 061 | 0.96% | +8 | ||
| Altai Krai | 525 | +0.5% | 104 571 | 5 776 | 5.52% | +27 | ||
| Stavropol Krai | 470 | +0.4% | 113 330 | 5 251 | 4.63% | +35 | ||
| Primorsky Krai | 458 | +0.5% | 88 474 | 1 405 | 1.59% | +5 | ||
| Volgograd Oblast | 443 | +0.4% | 118 264 | 4 610 | 3.9% | +36 | ||
| Ulyanovsk Oblast | 433 | +0.4% | 111 572 | 3 399 | 3.05% | +15 | ||
| Novosibirsk Oblast | 402 | +0.5% | 83 134 | 3 814 | 4.59% | +17 | ||
| Vologda Oblast | 382 | +0.4% | 90 489 | 2 590 | 2.86% | +13 | ||
| Arkhangelsk Oblast | 380 | +0.3% | 114 055 | 1 353 | 1.19% | +0 | ||
| Kemerovo Oblast | 376 | +0.5% | 74 396 | 1 580 | 2.12% | +5 | ||
| Leningrad Oblast | 375 | +0.4% | 90 846 | 2 802 | 3.08% | +10 | ||
| Lipetsk Oblast | 374 | +0.5% | 75 003 | 2 441 | 3.25% | +10 | ||
| Tver Oblast | 371 | +0.4% | 88 762 | 2 123 | 2.39% | +11 | ||
| Penza Oblast | 365 | +0.4% | 92 183 | 4 241 | 4.6% | +21 | ||
| Belgorod Oblast | 340 | +0.5% | 73 180 | 1 536 | 2.1% | +10 | ||
| Orenburg Oblast | 336 | +0.3% | 101 309 | 3 169 | 3.13% | +10 | ||
| Smolensk Oblast | 333 | +0.4% | 78 447 | 2 145 | 2.73% | +9 | ||
| Zabaykalsky Krai | 327 | +0.4% | 88 019 | 1 634 | 1.86% | +7 | ||
| Vladimir Oblast | 315 | +0.4% | 72 763 | 2 574 | 3.54% | +23 | ||
| Tyumen Oblast | 312 | +0.4% | 81 191 | 2 884 | 3.55% | +12 | ||
| Kursk Oblast | 307 | +0.4% | 76 814 | 1 802 | 2.35% | +8 | ||
| Orel Oblast | 300 | +0.5% | 63 624 | 1 301 | 2.04% | +7 | ||
| Komi Republic | 287 | +0.3% | 90 271 | 2 304 | 2.55% | +9 | ||
| Kaliningrad Oblast | 281 | +0.4% | 76 087 | 1 038 | 1.36% | +8 | ||
| Yaroslavl Oblast | 278 | +0.4% | 77 684 | 1 563 | 2.01% | +5 | ||
| Amur Oblast | 261 | +0.6% | 46 766 | 534 | 1.14% | +2 | ||
| Kirov Oblast | 253 | +0.4% | 71 876 | 681 | 0.95% | +2 | ||
| Sakha (Yakutiya) Republic | 250 | +0.4% | 70 717 | 1 693 | 2.39% | +1 | ||
| Novgorod Oblast | 247 | +0.4% | 59 813 | 621 | 1.04% | +7 | ||
| Bryansk Oblast | 245 | +0.3% | 89 788 | 2 319 | 2.58% | +20 | ||
| Tula Oblast | 243 | +0.4% | 68 211 | 3 910 | 5.73% | +11 | ||
| Udmurt Republic | 240 | +0.3% | 75 060 | 3 065 | 4.08% | +6 | ||
| Astrakhan Oblast | 240 | +0.3% | 74 233 | 2 195 | 2.96% | +5 | ||
| Khanty-Mansi Autonomous Okrug | 238 | +0.3% | 89 928 | 1 722 | 1.91% | +15 | ||
| Karelia Republic | 235 | +0.3% | 83 399 | 1 080 | 1.29% | +6 | ||
| Tatarstan Republic | 235 | +0.6% | 38 288 | 1 255 | 3.28% | +7 | ||
| Tomsk Oblast | 234 | +0.4% | 56 082 | 630 | 1.12% | +0 | ||
| Ryazan Oblast | 230 | +0.4% | 55 721 | 1 988 | 3.57% | +20 | ||
| Buryatia Republic | 227 | +0.3% | 69 770 | 2 192 | 3.14% | +11 | ||
| Murmansk Oblast | 220 | +0.3% | 86 798 | 2 564 | 2.95% | +7 | ||
| Kaluga Oblast | 214 | +0.4% | 59 382 | 1 040 | 1.75% | +4 | ||
| Tambov Oblast | 208 | +0.4% | 54 859 | 1 432 | 2.61% | +11 | ||
| Ivanovo Oblast | 203 | +0.3% | 62 253 | 2 144 | 3.44% | +12 | ||
| Kurgan Oblast | 203 | +0.5% | 45 253 | 882 | 1.95% | +3 | ||
| Pskov Oblast | 198 | +0.3% | 66 175 | 1 086 | 1.64% | +5 | ||
| Kostroma Oblast | 184 | +0.4% | 44 824 | 986 | 2.2% | +4 | ||
| Dagestan Republic | 176 | +0.3% | 61 499 | 2 965 | 4.82% | +13 | ||
| Khakassia Republic | 162 | +0.3% | 49 930 | 1 636 | 3.28% | +13 | ||
| Mordovia Republic | 158 | +0.4% | 36 809 | 896 | 2.43% | +6 | ||
| Chuvashia Republic | 149 | +0.3% | 43 115 | 3 324 | 7.71% | +18 | ||
| Yamalo-Nenets Autonomous Okrug | 129 | +0.2% | 58 577 | 866 | 1.48% | +4 | ||
| Mari El Republic | 124 | +0.5% | 26 420 | 776 | 2.94% | +8 | ||
| Sakhalin Oblast | 117 | +0.3% | 37 922 | 447 | 1.18% | +3 | ||
| Kabardino-Balkarian Republic | 108 | +0.3% | 39 038 | 1 195 | 3.06% | +9 | ||
| Adygea Republic | 89 | +0.4% | 24 285 | 666 | 2.74% | +2 | ||
| Ingushetia Republic | 88 | +0.3% | 26 238 | 425 | 1.62% | +3 | ||
| North Ossetia - Alania Republic | 88 | +0.3% | 28 600 | 765 | 2.67% | +6 | ||
| Chechen Republic | 87 | +0.3% | 28 673 | 833 | 2.91% | +7 | ||
| Karachay-Cherkess Republic | 81 | +0.3% | 30 170 | 863 | 2.86% | +3 | ||
| Tyva Republic | 58 | +0.2% | 30 655 | 305 | 0.99% | +2 | ||
| Kamchatka Krai | 48 | +0.2% | 22 453 | 482 | 2.15% | +0 | ||
| Jewish Autonomous Okrug | 37 | +0.4% | 10 602 | 341 | 3.22% | +0 | ||
| Altai Republic | 32 | +0.1% | 24 368 | 464 | 1.9% | +3 | ||
| Magadan Oblast | 31 | +0.2% | 12 815 | 314 | 2.45% | +1 | ||
| Kalmykia Republic | 27 | +0.1% | 33 457 | 698 | 2.09% | +2 | ||
| Nenets Autonomous Okrug | 9 | +0.3% | 3 228 | 77 | 2.39% | +0 | ||
| Chukotka Autonomous Okrug | 4 | +0.1% | 2 849 | 25 | 0.88% | +0 |
Taux d'incidence
Le taux d'incidence représente le nombre de personnes infectées par la Covid-19 dans les 7 derniers jours pour 100 000 habitants. Il permet d'avoir une vision synthétique de la circulation du virus dans le térritoire concerné.
Legende du taux d'incidence : <20 20-49 50-149 150-249 250-449 450-749 750-999 >1000
Sources
- Johns Hopkins Whiting School of Engineering - Center for System Science and Engineering - Github repo
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