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updated Jan 26, 2022 04:21 UTC+1
Total cases
11,055,246Δ 1day : +67,219 (+0.61%)7.58 %
Incidence rate
255
Recovered
5,609,682Δ 1day : +0 (+0.00%)
Active
5,124,720Δ 1day : +66,553 (+1.32%)
Deaths
320,844Δ 1day : +666 (+0.21%)

Covid-19 statistics breakdown by state/province

Province/ StateAccel. 1d|2dΔ 1dayΔ% 1dayTotal casesDeathsDeath rateΔ 1day
Moscow 18,935+0.9%2,212,98038,5141.74%+75
Saint Petersburg 9,722+1%939,89429,5373.14%+58
Moscow Oblast 5,769+0.8%704,78313,1181.86%+40
Sakha (Yakutiya) Republic 1,525+1.8%85,6321,8512.16%+3
Samara Oblast 1,150+0.5%210,5266,6263.15%+9
Khanty-Mansi Autonomous Okrug 1,102+1.1%104,6222,1422.05%+5
Sverdlovsk Oblast 1,096+0.5%212,8089,9264.66%+20
Perm Krai 1,076+0.6%172,0417,7384.5%+10
Rostov Oblast 983+0.5%206,2159,9694.83%+10
Arkhangelsk Oblast 941+0.7%130,7571,5561.19%+0
Krasnodar Krai 935+0.7%132,61210,0187.55%+7
Stavropol Krai 890+0.7%136,6316,3924.68%+9
Voronezh Oblast 839+0.4%203,6757,2243.55%+12
Leningrad Oblast 809+0.7%109,9343,1232.84%+6
Yamalo-Nenets Autonomous Okrug 711+1.1%66,0409761.48%+0
Volgograd Oblast 684+0.5%136,0495,9234.35%+16
Nizhny Novgorod Oblast 641+0.3%244,00510,4004.26%+22
Udmurt Republic 635+0.8%83,1213,2983.97%+0
Chelyabinsk Oblast 622+0.4%153,8446,4314.18%+6
Omsk Oblast 616+0.4%138,1523,4492.5%+13
Kaliningrad Oblast 605+0.7%87,9691,4041.6%+10
Orenburg Oblast 587+0.5%112,4593,5753.18%+3
Irkutsk Oblast 574+0.3%165,7437,3334.42%+18
Saratov Oblast 525+0.4%139,3635,3023.8%+5
Krasnoyarsk Krai 522+0.3%181,4059,3315.14%+25
Buryatia Republic 503+0.6%80,6082,5803.2%+6
Tyumen Oblast 496+0.5%96,9563,6913.81%+10
Altai Krai 475+0.4%127,9217,1995.63%+24
Kirov Oblast 419+0.5%84,4298090.96%+3
Tver Oblast 402+0.4%104,7212,4402.33%+2
Tula Oblast 401+0.5%81,0584,5355.59%+11
Astrakhan Oblast 398+0.5%86,1442,6203.04%+8
Ulyanovsk Oblast 393+0.3%124,1154,0403.26%+8
Orel Oblast 388+0.5%74,9561,6032.14%+1
Bashkortostan Republic 388+0.3%128,0504,6693.65%+19
Primorsky Krai 382+0.3%109,7221,6771.53%+5
Vologda Oblast 372+0.4%103,7143,1543.04%+7
Karelia Republic 371+0.4%94,8041,2911.36%+3
Vladimir Oblast 370+0.4%86,6693,0603.53%+7
Tatarstan Republic 348+0.8%45,8731,5653.41%+4
Kemerovo Oblast 347+0.4%91,7201,8562.02%+9
Ryazan Oblast 327+0.5%64,5602,8214.37%+8
Khabarovsk Krai 320+0.2%131,6911,3261.01%+3
Murmansk Oblast 311+0.3%95,3262,8943.04%+6
Yaroslavl Oblast 307+0.3%90,9972,0592.26%+4
Lipetsk Oblast 306+0.3%88,4012,9893.38%+6
Chuvashia Republic 297+0.6%48,7154,1858.59%+6
Zabaykalsky Krai 292+0.3%99,3552,0112.02%+4
Khakassia Republic 291+0.5%56,3632,1203.76%+8
Dagestan Republic 290+0.4%69,8533,3094.74%+3
Bryansk Oblast 280+0.3%100,9113,1723.14%+13
Novgorod Oblast 279+0.4%68,9228201.19%+0
Komi Republic 274+0.3%100,7812,7532.73%+0
Novosibirsk Oblast 261+0.3%101,0984,5534.5%+13
Tyva Republic 252+0.8%32,7763321.01%+0
Belgorod Oblast 249+0.3%85,1801,8912.22%+7
Tambov Oblast 243+0.4%65,5881,8942.89%+8
Kostroma Oblast 234+0.5%50,4411,1582.3%+2
Chechen Republic 231+0.7%33,2739902.98%+1
Kaluga Oblast 227+0.3%68,7401,2791.86%+1
Kursk Oblast 216+0.3%84,8252,1572.54%+5
Smolensk Oblast 216+0.2%88,4342,5362.87%+6
Penza Oblast 215+0.2%106,4134,8444.55%+6
Kalmykia Republic 214+0.6%34,9877692.2%+2
Mordovia Republic 187+0.4%42,3671,1222.65%+4
Mari El Republic 185+0.6%31,0009663.12%+4
Pskov Oblast 181+0.2%74,1061,3981.89%+7
Tomsk Oblast 171+0.3%65,0656991.07%+3
Ivanovo Oblast 170+0.2%71,1802,6743.76%+4
Kabardino-Balkarian Republic 161+0.4%44,2531,5603.53%+5
Amur Oblast 152+0.3%58,4036431.1%+0
Ingushetia Republic 132+0.4%30,5645021.64%+1
Adygea Republic 123+0.4%29,1428112.78%+2
Kamchatka Krai 120+0.5%24,9415272.11%+0
Kurgan Oblast 117+0.2%52,8851,0431.97%+2
Sakhalin Oblast 114+0.3%45,2866181.36%+5
Karachay-Cherkess Republic 99+0.3%33,9049262.73%+0
North Ossetia - Alania Republic 99+0.3%32,8111,0693.26%+4
Magadan Oblast 39+0.3%14,1563562.51%+0
Altai Republic 36+0.1%26,0095482.11%+2
Jewish Autonomous Okrug 27+0.2%12,1304473.69%+2
Nenets Autonomous Okrug 17+0.5%3,662892.43%+0
Chukotka Autonomous Okrug 10+0.3%3,032391.29%+0

Incidence rate

The incidence rate denotes the number of confirmed cases during the last 7 days for 100.000 inhabitants. It offers a global perspective over the virus circulation in the concerned terrotory.

Incidence rate legend : <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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Disclaimer

The information presented here is for awareness purposes only. We have endeavoured to make the information on this website as accurate as possible but cannot take responsibility for any errors. Please check other sources referred to on this website. Do not use this information to take any decision of any kind, otherwise this would be of your own responsibility.