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 | 2 221 | +0.1% | 3 197 769 | 46 056 | 1.44% | +24 | ||
| Saint Petersburg | 1 864 | +0.1% | 1 758 340 | 35 265 | 2.01% | +12 | ||
| Samara Oblast | 1 468 | +0.3% | 463 731 | 8 030 | 1.73% | +3 | ||
| Nizhny Novgorod Oblast | 1 361 | +0.3% | 485 308 | 11 693 | 2.41% | +3 | ||
| Sverdlovsk Oblast | 1 127 | +0.2% | 523 403 | 10 822 | 2.07% | +0 | ||
| Chelyabinsk Oblast | 1 109 | +0.3% | 375 322 | 7 935 | 2.11% | +6 | ||
| Udmurt Republic | 1 062 | +0.5% | 209 270 | 3 882 | 1.86% | +1 | ||
| Voronezh Oblast | 1 001 | +0.2% | 456 209 | 8 452 | 1.85% | +4 | ||
| Perm Krai | 951 | +0.2% | 431 755 | 8 949 | 2.07% | +4 | ||
| Moscow Oblast | 948 | +0.1% | 1 106 951 | 15 355 | 1.39% | +3 | ||
| Bashkortostan Republic | 794 | +0.2% | 319 112 | 5 836 | 1.83% | +3 | ||
| Tyumen Oblast | 794 | +0.3% | 239 566 | 4 348 | 1.81% | +0 | ||
| Krasnodar Krai | 679 | +0.2% | 332 800 | 11 040 | 3.32% | +1 | ||
| Altai Krai | 642 | +0.2% | 302 520 | 8 773 | 2.9% | +2 | ||
| Saratov Oblast | 608 | +0.2% | 288 496 | 6 001 | 2.08% | +0 | ||
| Kemerovo Oblast | 600 | +0.3% | 203 676 | 2 655 | 1.3% | +3 | ||
| Leningrad Oblast | 594 | +0.3% | 231 501 | 3 497 | 1.51% | +0 | ||
| Rostov Oblast | 592 | +0.1% | 431 652 | 11 016 | 2.55% | +2 | ||
| Kursk Oblast | 577 | +0.4% | 144 197 | 2 511 | 1.74% | +0 | ||
| Novosibirsk Oblast | 569 | +0.2% | 295 441 | 5 717 | 1.94% | +0 | ||
| Stavropol Krai | 537 | +0.2% | 236 146 | 7 107 | 3.01% | +0 | ||
| Belgorod Oblast | 509 | +0.3% | 155 085 | 2 293 | 1.48% | +0 | ||
| Penza Oblast | 492 | +0.2% | 211 046 | 6 072 | 2.88% | +0 | ||
| Tatarstan Republic | 475 | +0.3% | 180 332 | 2 004 | 1.11% | +0 | ||
| Vladimir Oblast | 469 | +0.3% | 170 917 | 3 530 | 2.07% | +1 | ||
| Irkutsk Oblast | 467 | +0.1% | 342 798 | 8 556 | 2.5% | +1 | ||
| Khanty-Mansi Autonomous Okrug | 419 | +0.2% | 243 320 | 2 575 | 1.06% | +2 | ||
| Vologda Oblast | 411 | +0.2% | 210 157 | 3 885 | 1.85% | +0 | ||
| Arkhangelsk Oblast | 402 | +0.2% | 262 936 | 1 775 | 0.68% | +0 | ||
| Krasnoyarsk Krai | 389 | +0.1% | 415 078 | 11 046 | 2.66% | +4 | ||
| Ivanovo Oblast | 369 | +0.3% | 124 957 | 3 167 | 2.53% | +0 | ||
| Tomsk Oblast | 361 | +0.2% | 150 701 | 902 | 0.6% | +0 | ||
| Karelia Republic | 361 | +0.2% | 155 884 | 1 525 | 0.98% | +0 | ||
| Yaroslavl Oblast | 356 | +0.2% | 177 378 | 2 837 | 1.6% | +1 | ||
| Orel Oblast | 345 | +0.3% | 130 287 | 1 951 | 1.5% | +0 | ||
| Smolensk Oblast | 311 | +0.2% | 143 721 | 3 108 | 2.16% | +2 | ||
| Volgograd Oblast | 270 | +0.1% | 258 840 | 6 906 | 2.67% | +1 | ||
| Komi Republic | 253 | +0.1% | 185 588 | 3 218 | 1.73% | +0 | ||
| Kostroma Oblast | 243 | +0.2% | 99 410 | 1 415 | 1.42% | +0 | ||
| Kurgan Oblast | 242 | +0.2% | 117 670 | 1 462 | 1.24% | +0 | ||
| Yamalo-Nenets Autonomous Okrug | 235 | +0.2% | 146 551 | 1 044 | 0.71% | +0 | ||
| Tula Oblast | 231 | +0.1% | 183 515 | 5 308 | 2.89% | +1 | ||
| Ryazan Oblast | 229 | +0.2% | 145 183 | 3 442 | 2.37% | +1 | ||
| Ulyanovsk Oblast | 228 | +0.1% | 222 693 | 4 776 | 2.14% | +0 | ||
| Kaliningrad Oblast | 226 | +0.1% | 186 959 | 1 970 | 1.05% | +1 | ||
| Novgorod Oblast | 223 | +0.2% | 114 127 | 1 041 | 0.91% | +1 | ||
| Primorsky Krai | 222 | +0.1% | 202 914 | 1 966 | 0.97% | +0 | ||
| Omsk Oblast | 221 | +0.1% | 225 437 | 4 482 | 1.99% | +2 | ||
| Zabaykalsky Krai | 220 | +0.1% | 184 482 | 2 355 | 1.28% | +0 | ||
| Orenburg Oblast | 211 | +0.1% | 237 054 | 4 028 | 1.7% | +0 | ||
| Bryansk Oblast | 210 | +0.1% | 181 065 | 4 081 | 2.25% | +2 | ||
| Kaluga Oblast | 208 | +0.2% | 118 377 | 1 453 | 1.23% | +0 | ||
| Lipetsk Oblast | 206 | +0.1% | 171 861 | 3 864 | 2.25% | +2 | ||
| Khabarovsk Krai | 196 | +0.1% | 220 221 | 1 561 | 0.71% | +0 | ||
| Chuvashia Republic | 195 | +0.2% | 99 901 | 4 678 | 4.68% | +1 | ||
| Mordovia Republic | 185 | +0.2% | 79 707 | 1 396 | 1.75% | +0 | ||
| Kirov Oblast | 185 | +0.1% | 160 197 | 1 069 | 0.67% | +0 | ||
| Tambov Oblast | 176 | +0.1% | 133 966 | 2 480 | 1.85% | +1 | ||
| Khakassia Republic | 175 | +0.2% | 100 494 | 2 416 | 2.4% | +0 | ||
| Sakha (Yakutiya) Republic | 174 | +0.1% | 210 141 | 2 134 | 1.02% | +0 | ||
| Pskov Oblast | 168 | +0.1% | 123 347 | 1 915 | 1.55% | +1 | ||
| Murmansk Oblast | 156 | +0.1% | 142 260 | 3 364 | 2.36% | +0 | ||
| Tver Oblast | 142 | +0.1% | 176 647 | 2 765 | 1.57% | +0 | ||
| Amur Oblast | 111 | +0.1% | 121 648 | 765 | 0.63% | +0 | ||
| Kabardino-Balkarian Republic | 101 | +0.1% | 72 109 | 1 907 | 2.64% | +0 | ||
| Karachay-Cherkess Republic | 80 | +0.2% | 50 147 | 984 | 1.96% | +0 | ||
| Adygea Republic | 75 | +0.1% | 53 291 | 1 011 | 1.9% | +0 | ||
| North Ossetia - Alania Republic | 72 | +0.2% | 44 835 | 1 259 | 2.81% | +1 | ||
| Mari El Republic | 72 | +0.2% | 47 909 | 1 087 | 2.27% | +0 | ||
| Astrakhan Oblast | 65 | +0% | 131 208 | 3 088 | 2.35% | +1 | ||
| Kalmykia Republic | 65 | +0.1% | 58 264 | 843 | 1.45% | +0 | ||
| Dagestan Republic | 58 | +0.1% | 101 338 | 3 612 | 3.56% | +1 | ||
| Sakhalin Oblast | 53 | +0.1% | 67 779 | 829 | 1.22% | +0 | ||
| Buryatia Republic | 50 | +0% | 150 845 | 3 072 | 2.04% | +2 | ||
| Altai Republic | 50 | +0.1% | 39 415 | 626 | 1.59% | +0 | ||
| Kamchatka Krai | 39 | +0.1% | 43 707 | 624 | 1.43% | +0 | ||
| Magadan Oblast | 36 | +0.2% | 21 213 | 390 | 1.84% | +0 | ||
| Ingushetia Republic | 20 | +0% | 43 022 | 550 | 1.28% | +0 | ||
| Jewish Autonomous Okrug | 16 | +0.1% | 21 682 | 559 | 2.58% | +0 | ||
| Chechen Republic | 16 | +0% | 46 256 | 1 076 | 2.33% | +0 | ||
| Nenets Autonomous Okrug | 14 | +0.2% | 8 117 | 101 | 1.24% | +0 | ||
| Tyva Republic | 9 | +0% | 52 135 | 357 | 0.68% | +0 | ||
| Chukotka Autonomous Okrug | 9 | +0.1% | 6 534 | 44 | 0.67% | +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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