Coronavirus COVID-19. Current state and last updates

Coronavirus COVID-19. Current state and last updates

05-Dec-2023                World              Russia    Europe    Asia    North America    South America    Africa    Oceania          
CountryActive cases1 Week2 Week4 WeekPopulation
Total/1m popStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotal
1Moscow 150,56011,875.69147,8251.5%16,73813,964392,735144,7731.4%30,32824,483585,787141,8631.1%48,70239,915908,69712.678
2St. Petersburg 12,9682,402.379,47710.9%10,0156,500243,4917,0779.5%18,02512,087475,8913,9307.7%27,55318,426899,0385.398
3Perm region 3,6411,400.923,07210.1%2,9702,391105692,7878.7%6,2065,338148541,3567.9%10,1617,852242,2852.599
4Samara Region 5,4011,696.834,03710.8%4,2432,87901,3643,0769.1%7,3415,01602,3252,1576.9%11,9878,74123,2443.183
5Udmurtia 4,8663,244.004,3016.8%2,5171,95025653,7016.6%5,3894,22131,1651,9916.5%9,5026,62252,8751.500
6Tyumen 2,839755.862,6329.6%2,3652,15712072,1618.2%4,3253,64616788778.0%6,7344,77111,9623.756
7Khanty-Mansi Autonomous Okrug 3,7562,243.733,5807.4%2,3022,12511762,6977.4%4,6503,59011,0591,4986.7%7,7755,51342,2581.674
8Yakutia 1,2701,307.931,8357.1%1,1401,7032-5652,1296.0%2,6863,5432-8591,3756.0%5,6195,7222-1050.971
9Nizhny Novgorod Region 2,423756.711,73714.5%2,7422,05606861,13912.2%4,5553,27011,2847648.4%6,5744,91411,6593.202
10Chelyabinsk region 3,007867.572,47710.0%2,3541,81685301,7439.1%4,1882,910141,2649247.7%6,3964,287262,0833.466
11Voronezh region 2,9241,258.182,5249.9%2,3491,94904001,8098.5%3,8452,73001,1151,1896.6%5,9404,20501,7352.324
12Zabaykalsky Krai 1,0631,003.781,04514.1%1,5791,56011882111.2%2,8132,57012423329.6%3,9413,20917311.059
13Kemerovo region 2,582965.591,84812.0%2,2331,49187341,20910.9%3,9442,557141,3735838.9%5,7093,686241,9992.674
14Sverdlovsk region 3,957918.103,2297.2%2,0321,29777282,9975.7%3,5052,534119602,3654.5%5,6854,072211,5924.310
15Moscow region 2,938382.052,6866.6%1,5041,25202522,4485.9%2,9872,49704902,3694.1%4,9034,33405697.690
16Krasnoyarsk region 2,146746.691,55912.9%2,0771,49005871,06710.7%3,3702,29011,0794838.8%4,5942,93011,6632.874
17Leningrad region 2,2691,210.131,46212.7%1,9081,10108071,01310.7%3,1921,93601,2565688.4%4,8753,17401,7011.875
18Irkutsk region 4,2811,790.463,1958.0%2,2681,18201,0861,57710.2%4,5331,82812,7046278.7%5,9232,26813,6542.391
19Tver region 1,189943.6577215.7%1,366949041767211.2%2,2931,77605174237.9%3,1742,40807661.260
20Omsk region 1,435745.0798312.9%1,317864145269111.2%2,3471,60217443299.1%3,3932,28431,1061.926
21Krasnodar region 1,046184.3291710.0%86673611299507.6%1,6821,5842968555.8%3,2563,05871915.675
22Bashkortostan 3,530874.202,5936.8%1,52158139372,2216.0%2,8081,49541,3091,4695.2%4,6382,57072,0614.038
23Stavropol region 1,151410.6398010.2%95678411718698.0%1,7001,41712828765.5%2,9972,71932752.803
24Arhangelsk region 1,8611,638.201,4199.1%1,20075804421,0068.8%2,2611,40608553898.4%3,3591,88701,4721.136
25Murmansk region 625835.568408.1%6138280-2156967.6%1,2481,3190-713067.5%2,0201,69923190.748
26Saratov region 876361.8378910.7%8167290875879.4%1,4901,20102894467.1%2,6022,17204302.421
27Altai region 903387.2267713.0%916690022651310.4%1,5241,13403902908.0%2,2301,61706132.332
28Bryansk region 732610.0049515.5%859622023743510.9%1,4101,11212972848.0%2,1511,69944481.200
29Rostov region 906215.8776210.5%77162701446248.7%1,3871,10502825395.9%2,1451,77803674.197
30Mari El Republic 487716.1851810.3%5125430-315497.5%9711,0330-623476.7%1,8051,66501400.680
31Kaliningrad region 695693.6157910.3%57445711165478.0%1,06091021483297.1%1,9081,53933661.002
32Kurgan region 1,2311,488.511,0128.3%75253302198017.3%1,33990904303067.2%1,86293709250.827
33Khabarovsk region 638485.1746413.4%657483017434811.1%1,16287202901908.4%1,6361,18804481.315
34Kirov region 1,001793.199008.3%66956801016298.1%1,23786503723726.9%2,0131,38406291.262
35Ryazan region 1,075964.9979810.6%81353422775399.6%1,40185875362837.8%2,0621,26287921.114
36Tatarstan 2,113541.521,5756.8%92738905381,3365.7%1,57279507779395.0%2,7381,56401,1743.902
37Vladimir region 2,2371,638.831,6557.0%1,00641955821,1966.9%1,83378751,0416816.0%2,7621,20151,5561.365
38Ulyanovsk region 790638.136869.8%63452641045068.5%1,07278262843746.5%1,8001,37864161.238
39Orenburg region 758386.1454111.1%58636902175208.0%1,01677802382626.9%1,45195504961.963
40Tomsk region 1,1121,030.581,0456.9%6185510677376.8%1,12575003753146.8%1,67087027981.079
41Kaluga region 627621.4145411.6%52635301733878.9%89465402402607.0%1,4691,10203671.009
42Astrakhan region 295290.9329012.1%356350152878.7%639630182076.6%1,0259361881.014
43Belgorod region 791510.656958.8%5624660964708.2%94962803213166.3%1,44797204751.549
44Yamal-Nenets Autonomous Okrug 9961,830.887468.9%61036002505048.5%1,07258004923676.4%1,7391,11006290.544
45Oryol Region 496671.1836112.9%48134601353149.1%75056801821847.7%1,29998703120.739
46Karelia 611988.675628.3%4193700493908.0%75653502212336.6%1,15477603780.618
47Приморский край 483254.884287.6%2872320553607.5%62550201232815.8%1,07287002021.895
48Lipetsk region 695607.5248111.2%53131612143489.2%84749823472466.4%1,16971734491.144
49Vologda Region 706608.6242512.2%524243028131810.0%88249403881887.9%1,39687805181.160
50Khakassia 6301,179.7842911.2%471270020129110.1%82548603391378.2%1,11562204930.534
51Crimea 220115.122689.2%2282760-482507.6%4504800-303144.6%7978910-941.911
52Komi Republic 1,2661,525.301,1804.7%4503640869254.6%81046543416094.3%1,35669546570.830
53Amur region 261330.3819014.7%30623507115310.7%4833750108888.0%67149801730.790
54Yaroslavl region 1,3031,034.951,0006.3%53323003037286.1%94537005754035.6%1,42752709001.259
55Pskov region 623990.4628214.2%4349213412799.5%71536833441408.0%1,08259634830.629
56Mordovia 168212.669220.1%2401640768413.6%4153310844510.3%66354001230.790
57Novgorod region 309515.0020813.6%300199010114411.2%4913260165748.8%70747202350.600
58Sevastopol 348785.5518015.0%298130016816010.8%50932101881137.8%81757842350.443
59Buryatia 343348.932659.9%2471654781968.9%4533024147997.9%73448372440.983
60Tambov Region 585576.355345.0%2181670514444.8%40926801412914.0%58829402941.015
61Volgograd region 618246.5136011.1%39013202582758.7%61126803432335.7%87849213852.507
62Kursk region 384346.883208.2%2341700642218.0%4252620163997.6%66738202851.107
63Kalmykia 89327.2110911.0%1171370-201018.9%2342460-121515.5%5325940-620.272
64Smolensk region 527564.244575.6%2101400703385.9%41923001892294.9%63633712980.934
65Kabardino-Balkaria 154177.831408.1%101870141117.7%2021590431344.6%3403191200.866
66Tula region 560381.993587.4%2333102022846.8%43115502761526.5%73833004081.466
67Penza region 1,115845.988304.9%3304142856804.6%59415454356223.7%1,09058894931.318
68Sakhalin 212434.431945.4%86680181516.4%2071460611474.7%3833180650.488
69Ivanovo region 2,1442,135.461,5724.9%6214545721,1175.2%1,15812651,0275275.8%2,03541081,6171.004
70Jewish Autonomous Region 112704.407414.2%113750385610.8%179123056308.1%2381560820.159
71Dagestan 11035.641284.8%50680-181204.6%1051150-10794.3%1751440313.086
72Karachay-Cherkess 139298.921187.4%76550211145.8%137112025894.9%2491990500.465
73Magadan Region 2241,600.001796.3%96510451396.1%18095085785.9%30916301460.140
74Kamchatka 3141,003.192434.1%8081712513.5%157931631873.5%29716911270.313
75 Nenets Autonomous Okrug 771,790.706112.1%75590163012.2%12174047208.0%152950570.043
76Kostroma region 185290.429712.0%118300886010.9%194690125496.8%26412711360.637
77Altai Republic 204927.271715.3%74410331384.6%12054066754.6%1875801290.220
78North Ossetia - Alania 160229.891433.5%39220171393.1%73520211432.3%1241061170.696
79Novosibirsk region 2,356842.031,4587.3%9363808989796.6%1,4264811,3775635.4%1,8838821,7932.798
80Tyva 92281.354713.9%70250453310.7%10445059811.0%141570840.327
81Adygea 120264.32985.7%4623122706.0%8835350326.1%134424880.454
82 Chukotka 641,280.00538.0%3827011298.8%6631035216.9%116730430.050
83Chechnya 4228.42315.5%143011315.7%3625011851.9%591020-431.478
84Ingushetia 53106.64483.2%12705364.1%2710017273.4%41150260.497
*** He recovered + died more became ill     Average daily infection rate of more than > 10%.    
* This is the current state. There are no data about 80,000 people falling ill in China in February.
** Speed ​​is the ratio of new illnesses (per week) to the number of days and to the number of sick (a week ago), which supposedly infected them.
The data source стопкоронавирус.рф