Coronavirus COVID-19. Current state and last updates. World

Coronavirus COVID-19. Current state and last updates. World

График

График

28-Nov-2023              Russia    Europe    Asia    North America    South America    Africa    Oceania          
CountryActive cases1 Week2 Week4 WeekPopulation
Total/1m popStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotal
1Brazil 1,092,1425,112.811,065,8300.4%26,496018426,3121,038,2090.4%54,417048453,933993,9750.3%98,829066298,167213.609
2Germany 223,2242,658.38199,9111.6%23,672035923,313171,7581.9%52,268080251,466135,7091.8%88,88401,36987,51583.970
3Russia 236,6711,621.28214,4524.5%77,10654,7979022,219196,1263.8%135,25694,52818340,545173,6682.9%210,833147,50832263,003145.978
4USA 910,3422,739.09892,9511.5%95,56477,70247117,391870,7971.6%223,593182,5411,50739,545868,2791.4%407,612362,7482,80142,063332.352
5Singapore 559,13495,058.48548,4080.3%10,7260010,726500,5100.8%58,6240058,624500,5100.4%58,6240058,6245.882
6Italy 182,5543,022.42172,0993.4%44,95334,26323510,455165,7402.8%79,26762,02642716,814163,3292.2%133,493113,53073819,22560.400
7Poland 00.0000.0%10,51006210,44800.0%18,52009018,4301,078,4120.1%29,713-5,335,9401285,365,52537.818
8Czechia 12,3811,154.628,92910.5%8,9805,494343,4528,1777.8%15,12610,853694,2046,5365.9%26,05220,0751325,84510.723
9Paraguay 00.0000.0%3,3520123,34000.0%3,3520123,34000.0%3,3520123,3407.193
10Lithuania 13,4634,993.6910,5996.6%5,9853,101202,8649,0465.7%10,5236,078284,4176,5354.7%17,22910,255466,9282.696
11Switzerland 10,3781,193.018,4695.1%3,4961,58701,9097,0434.7%6,3743,03903,3355,2414.0%10,3785,24105,1378.699
12Hungary 11,9581,240.0710,1002.4%1,858001,85810,1001.2%1,858001,8586,9572.0%5,001005,0019.643
13Malaysia 13,380409.7611,5842.1%1,801051,79611,5841.0%1,801051,79611,6461.2%4,8323,088101,73432.653
14Sweden 9,785964.708,3814.9%3,3441,7451951,4046,1065.5%6,8662,8393483,6792,9895.8%11,5894,2645296,79610.143
15Brunei 70,093159,302.2769,0660.2%1,027001,02769,0660.1%1,027001,02768,2680.1%1,825001,8250.440
16Bulgaria 1,641237.4164415.7%1,148137149975,4882.8%2,5446,35437-3,8475,4682.3%4,9048,66467-3,8276.912
17Iran 00.0000.0%1,05105599699,1950.1%1,051-7,377,233557,378,22996,2680.2%4,131-7,377,2332087,381,15684.738
18Ecuador 98255.0800.0%9820098200.0%9820098200.0%9820098217.828
19Colombia 38,371748.5737,5010.3%88201287037,5010.2%88201287037,5010.1%88201287051.259
20Moldova 00.0000.0%8060480200.0%1,7460191,727109,4350.1%1,746-504,14219505,8694.027
21Estonia 00.0000.0%5910059192,7250.2%2,021-524,9900527,01192,1640.1%2,582-524,9900527,5721.327
22Bolivia 10,570897.0610,0670.7%503005039,8820.5%691036889,8820.2%6910368811.783
23Thailand 32,457464.1931,9790.2%4800247831,5900.2%8700386731,0010.2%1,461051,45669.922
24Uruguay 2,368680.071,9273.2%47002944119619.6%2,2020302,1721969.4%2,2020302,1723.482
25Slovenia 1,423684.461,0778.0%77042403467887.6%1,42378806358394.7%2,2111,62705842.079
26Morocco 00.0000.0%300003004,8940.4%300-1,256,15101,256,4514,6340.4%560-1,256,15101,256,71137.214
27North Macedonia 2,8421,364.382,6011.3%250092412,6010.7%250092411,4022.6%1,4570171,4402.083
28Armenia 7,1712,416.926,9420.5%234052296,9420.2%234052296,4100.4%7730127612.967
29Finland 8,6801,564.818,4564.9%3,3782,9202342246,6385.6%7,5545,0594532,0423,0186.2%13,2816,8078125,6625.547
30San Marino 2477,264.712935.8%218002182916.5%21800218298.0%218002180.034
31Latvia 2,0161,076.921,8031.8%2410282131,8030.9%2410282131,4241.3%6330415921.872
32India 00.0000.0%2010319800.0%3430334000.0%539055341,389.420
33Philippines 3,22629.173,0482.6%60642801783,0403.6%1,9231,72891862,8163.1%3,8923,46319410110.592
34South Sudan 27824.6311513.4%163001631156.5%163001631153.2%1630016311.285
35Guatemala 37620.7222918.6%52838011472338.9%53439011431747.2%1,038834220218.145
36Indonesia 5,14518.675,0360.4%1433401094,9670.3%2365801784,8620.3%3921090283275.530
37Guyana 178225.607612.9%10200102766.3%10200102733.2%105001050.789
38Afghanistan 12,610318.9712,5140.4%32923129612,4930.4%654535211712,1870.4%1,4721,0391042339.533
39Malawi 00.0000.0%6800686490.7%68-85,651085,7196490.4%68-85,651085,71919.470
40Monaco 00.0000.0%5700571,0500.4%57-15,992016,0491,0130.3%94-15,992016,0860.039
41Gabon 6528.741128.9%5400541113.5%540054116.6%5400542.262
42Slovakia 38269.953297.8%2291760533475.4%3823470353684.0%7297150145.461
43Chile 55128.6550050.0%8,0578,00605150022.5%8,0578,00605143613.6%15,07814,963011519.230
44Macao 16,51125,207.6316,4640.0%47004716,3900.1%1210012116,1310.1%380003800.655
45British Virgin Islands 00.0000.0%45004500.0%45004500.0%4500450.030
46Iceland 00.0000.0%42004200.0%1370013700.0%137001370.343
47Bosnia and Herzegovina 7,8872,414.147,8450.1%4402427,8450.0%4402427,8200.0%7104673.267
48DRC 13,266145.0913,2240.0%42004213,2240.0%42004213,2240.0%42004291.431
49Zimbabwe 1,27785.061,2370.5%4202401,2370.2%4202401,2130.2%69056415.013
50Bangladesh 00.0000.0%34003418,0330.0%68-1,998,44801,998,51617,9670.0%134-1,998,44801,998,582165.828
51Madagascar 943.34714.2%240123712.1%240123671.3%28012728.181
52Angola 64619.246230.5%2300236230.3%2300236210.1%25002533.568
53Ethiopia 5,33545.635,3150.1%2000205,3150.0%2000205,3150.0%200020116.925
54Kuwait 3,713860.693,6940.1%1900193,6940.0%1900193,6250.1%8800884.314
55Algeria 82,0351,847.7282,0160.0%19001982,0160.0%19001982,0030.0%32003244.398
56Jamaica 49,63216,711.1149,6140.0%18001849,6140.0%18001849,6140.0%1800182.970
57French Polynesia 00.0000.0%17001700.0%17001700.0%2100210.282
58Namibia 950369.229330.3%1700179330.1%1700179240.1%2600262.573
59Burkina Faso 803.76643.2%160016641.6%160016640.8%16001621.298
60Mongolia 11033.18971.8%13001300.0%1100011000.0%110001103.315
61Seychelles 27272.73158.8%120012154.3%120012152.1%1200120.099
62Liechtenstein 00.0000.0%110011691.1%11-21,352021,363581.2%22-21,352021,3740.038
63Cuba 766.71671.8%9009670.9%9009630.7%13001311.322
64Cameroon 150.56721.9%211308710.4%21130875.1%21130827.001
65Mozambique 2,60881.862,6000.0%90182,6000.0%90182,6000.0%901831.858
66Nigeria 4,04519.294,0380.0%70074,0380.0%70074,0380.0%7007209.659
67Tanzania 00.0000.0%700700.0%700700.0%700760.904
68Zambia 3,909208.613,9020.0%70073,9020.0%70073,9020.0%700718.738
69Montenegro 97154.469110.8%9690065672.1%1946640-4707262.3%6511,2782-6290.628
70Guinea 34325.643380.2%50053380.1%50053380.1%500513.378
71Malta 436986.434320.7%2218044390.5%35380-34740.5%781151-380.442
72Haiti 22619.652220.3%40042220.1%40041711.0%55005511.499
73Laos 00.0000.0%400400.0%400400.0%80087.349
74Botswana 514215.605100.1%40045100.1%40044710.3%4300432.384
75Cambodia 40.24217.0%4202210.4%640226.9%1190216.879
76Myanmar 1,96035.861,9580.0%20021,9510.0%90091,9250.1%35003554.663
77China 118,97782.66118,9770.0%0000118,9770.0%0000118,9770.0%00001,439.324
78S. Korea 00.0000.0%000000.0%000000.0%000051.300
79Japan 00.0000.0%000000.0%000000.0%0000126.206
80France 00.0000.0%000000.0%000000.0%000065.374
81Spain 30,634655.0330,6340.0%000030,6340.0%000030,6340.0%000046.767
82Bahrain 4525.83450.0%0000450.0%0000693.7%1241480-241.742
83Taiwan 00.0000.0%000000.0%000000.0%000023.847
84Netherlands 21612.592160.0%00002160.0%00001,0200.7%2161,0200-80417.161
85Iraq 67316.486730.0%00006730.0%00006730.0%000040.845
86Austria 3,811421.483,8110.0%00003,8110.0%00003,8110.0%00009.042
87UAE 00.0000.0%000010,1560.0%0-1,054,52501,054,52510,1560.0%0-1,054,52501,054,5259.973
88Vietnam 939,9379,596.38939,9370.0%0000939,9370.0%0000939,9370.0%000097.947
89Israel 30,5923,325.9430,5920.0%000029,5440.3%1,0580101,04829,5440.1%1,0580101,0489.198
90Turkey 00.0000.0%000000.0%000000.0%000084.969
91Norway 00.0000.0%000000.0%000000.0%00005.451
92Denmark 00.0000.0%000000.0%000000.0%00005.806
93Portugal 00.0000.0%00008640.0%08640-8644,3170.0%04,3170-4,31710.176
94Greece 00.0000.0%000000.0%000000.0%000010.387
95Qatar 14752.351470.0%00001470.0%00001470.0%00002.808
96Pakistan 12,58356.2112,5830.0%000012,5790.0%400412,5570.0%260026223.855
97Luxembourg 00.0000.0%00002,0370.0%0-316,6900316,6902,0370.0%0-316,6900316,6900.633
98Saudi Arabia 00.0000.0%00003,9000.0%0-827,9230827,9233,9000.0%0-827,9230827,92335.189
99Egypt 49,228474.8649,2280.0%000049,2280.0%000049,2280.0%0000103.668
100Lebanon 145,29921,354.94145,2990.0%0000145,2990.0%0000145,2990.0%00006.804
101South Africa 61,3621,025.6661,3620.0%000061,3620.0%000061,3620.0%000059.827
102Mexico 414,8623,194.37414,8620.0%0000414,8620.0%0000414,8620.0%0000129.873
103Croatia 34784.883470.0%00003495.7%40837337-23464.6%8787968114.088
104Panama 15535.531550.0%00001550.0%00001550.0%00004.362
105Argentina 00.0000.0%000000.0%00001,8120.0%01,8120-1,81245.484
106Costa Rica 00.0000.0%0000368,7440.0%0-860,7110860,711368,7440.0%0-860,7110860,7115.126
107Andorra 00.0000.0%00002870.0%0-47,563047,5632870.0%0-47,563047,5630.077
108Faeroe Islands 00.0000.0%000000.0%000000.0%00000.049
109Jordan 1,868181.841,8680.0%00001,8680.0%00001,8680.0%000010.273
110Cyprus 00.0000.0%000000.0%000000.0%00001.213
111Albania 1,696589.711,6960.0%00001,6960.0%00001,6960.0%00002.876
112Belarus 1,327140.471,3270.0%00001,3270.0%00001,3270.0%00009.447
113Oman 00.0000.0%000010,1520.0%0-384,6690384,66910,1520.0%0-384,6690384,6695.196
114Palestine 15930.681590.0%00001590.0%00001590.0%00005.183
115Kazakhstan 14,963790.3614,9630.0%000014,9630.0%000014,9630.0%000018.932
116Venezuela 30210.643020.0%00003020.0%00003020.0%000028.380
117Georgia 00.0000.0%000061,6090.0%0-1,776,54801,776,54861,6090.0%0-1,776,54801,776,54810.617
118Tunisia 00.0000.0%000000.0%000000.0%000011.904
119Senegal 271.58270.0%0000270.0%0000270.0%000017.048
120Dominican Republic 13912.731390.0%00001390.0%00001390.0%000010.923
121Guadeloupe 00.0000.0%000000.0%000000.0%00000.400
122Martinique 00.0000.0%000000.0%000000.0%00000.375
123Uzbekistan 10,539311.7610,5390.0%000010,5390.0%000010,5390.0%000033.805
124Ukraine 00.0000.0%000000.0%000000.0%000043.550
125Réunion 67,09574,550.0067,0950.0%000067,0950.0%000067,0950.0%00000.900
126French Guiana 86,367284,101.9786,3670.0%000086,3670.0%000086,3670.0%00000.304
127Maldives 22,69141,482.6322,6910.0%000022,6910.0%000022,6910.0%00000.547
128Honduras 00.0000.0%000000.0%000000.0%300310.014
129Channel Islands 168960.001680.0%00001680.0%00001680.0%00000.175
130Ghana 00.0000.0%92920000.0%92920000.0%92920031.521
131Rwanda 110.84110.0%0000110.0%0000110.0%000013.173
132Gibraltar 00.0000.0%00003,8580.0%0-16,579016,5793,8580.0%0-16,579016,5790.034
133Ivory Coast 60.2260.0%000060.0%000060.0%000026.828
134Trinidad and Tobago 2819.96280.0%0000280.0%0000280.0%00001.403
135Kenya 1,13220.741,1320.0%00001,1320.0%00001,0720.2%60006054.588
136Mauritius 696546.746960.0%00006960.0%00006960.0%00001.273
137Aruba 1,49413,962.621,4940.0%00001,4940.0%00001,4940.0%00000.107
138Barbados 9473,288.199470.0%00009470.0%00009470.0%00000.288
139Equatorial Guinea 13996.861390.0%00001390.0%00001390.0%00001.435
140Cayman Islands 22,882346,696.9722,8820.0%000022,8820.0%000022,8820.0%00000.066
141Curaçao 9715,884.859710.0%00009710.0%00009710.0%00000.165
142Bahamas 8742,207.078740.0%00008740.0%00008740.0%00000.396
143Congo 983175.169830.0%00009830.0%00009830.0%00005.612
144Kyrgyzstan 7,5001,136.547,5000.0%00007,5000.0%00007,5000.0%00006.599
145Mayotte 00.0000.0%000000.0%000000.0%00000.277
146St. Barth 00.0000.0%000000.0%000000.0%00000.010
147Saint Martin 00.0000.0%000010,8620.0%0-1,39901,39910,8620.0%0-1,39901,3990.039
148Sudan 00.0000.0%000000.0%000000.0%000044.555
149Benin 262.11260.0%0000260.0%0000260.0%000012.342
150Bermuda 10161.29100.0%0000100.0%0000100.0%00000.062
151Greenland 9,189161,210.539,1890.0%00009,1890.0%00009,1890.0%00000.057
152Liberia 122.33120.0%0000120.0%0000120.0%00005.140
153Mauritania 30664.643060.0%00003060.0%00003060.0%00004.734
154New Caledonia 00.0000.0%00001450.0%0-79,605079,6051450.0%0-79,605079,6050.287
155Saint Lucia 6453,505.436450.0%00006450.0%00006440.0%10010.184
156Nepal 973.29970.0%0000970.0%0000970.0%000029.499
157Antigua and Barbuda 661.2260.0%000060.0%000060.0%00000.098
158Bhutan 1,1121,429.311,1120.0%00001,1120.0%00001,1120.0%00000.778
159CAR 5511.25550.0%0000550.0%0000550.0%00004.888
160Chad 2,633157.192,6330.0%00002,6330.0%00002,6330.0%000016.750
161Djibouti 7474.15740.0%0000740.0%0000740.0%00000.998
162El Salvador 18,1692,791.3718,1690.0%000018,1690.0%000018,1670.0%20026.509
163Fiji 1,0061,116.541,0060.0%00001,0060.0%00001,0060.0%00000.901
164Gambia 6526.39650.0%0000650.0%0000650.0%00002.463
165Vatican City 00.0000.0%000000.0%000000.0%00000.001
166Montserrat 193,800.00190.0%0000190.0%0000190.0%00000.005
167Nicaragua 14,0412,102.2614,0410.0%000014,0410.0%000014,0410.0%00006.679
168Niger 72929.397290.0%00007290.0%00007290.0%000024.807
169St. Vincent Grenadines 27243.24270.0%0000270.0%0000270.0%00000.111
170Sint Maarten 541,255.81540.0%0000540.0%0000540.0%00000.043
171Somalia 12,791789.6712,7910.0%000012,7910.0%000012,7910.0%000016.198
172Suriname 00.0000.0%000000.0%000000.0%00000.590
173Eswatini 584500.005840.0%00005840.0%00005510.2%3300331.168
174Togo 252.97250.0%0000250.0%0000181.2%70078.412
175Papua New Guinea 262.87260.0%0000260.0%0000260.0%00009.064
176Timor-Leste 220164.672200.0%00002200.0%00002200.0%00001.336
177Cabo Verde 305544.643050.0%00003050.0%00002990.1%70160.560
178Eritrea 00.0000.0%000000.0%000000.0%00003.580
179Isle of Man 00.0000.0%000000.0%000000.0%00000.085
180Uganda 67,9201,453.3967,9200.0%000067,9200.0%000067,8080.0%1120011246.732
181Syria 00.0000.0%000000.0%000000.0%000017.794
182Turks and Caicos 20512.82200.0%0000200.0%0000151.2%60150.039
183Anguilla 00.0000.0%0000130.0%0-3,87903,879130.0%0-3,87903,8790.015
184Belize 00.0000.0%00002870.0%0-70,085070,0852870.0%0-70,085070,0850.403
185Guinea-Bissau 508254.005080.0%00005080.0%00005080.0%00002.000
186Saint Kitts and Nevis 00.0000.0%000000.0%000000.0%00000.053
187Dominica 51708.33510.0%0000510.0%0000510.0%00000.072
188Grenada 97858.41970.0%0000970.0%0000970.0%00000.113
189Mali 874.21870.0%0000870.0%0000840.1%300320.652
190Libya 20.2920.0%000020.0%000020.0%00006.936
191Sierra Leone 00.0000.0%000000.0%000000.0%00008.089
192Burundi 1,11491.811,1140.0%00001,1140.0%00007591.4%3550035512.134
193Sao Tome and Principe 28126.13280.0%0000221.9%30402600.0%3460280.222
194Western Sahara 00.0000.0%000000.0%000000.0%00000.607
195Caribbean Netherlands 1,16844,923.081,1680.0%00001,1680.0%00001,1680.0%00000.026
196Falkland Islands 00.0000.0%000000.0%000000.0%00000.004
197Saint Pierre Miquelon 1,001166,833.331,0010.0%00001,0010.0%00001,0010.0%00000.006
198Yemen 66221.866620.0%00006620.0%00006620.0%000030.279
199Comoros 910.2090.0%000090.0%000090.0%00000.882
200Tajikistan 39740.993970.0%00003970.0%00003970.0%00009.685
201Lesotho 8,0873,754.418,0870.0%00008,0870.0%00008,0870.0%00002.154
202Solomon Islands 00.0000.0%000000.0%1,3790461,33300.0%1,3790461,3330.698
203MS Zaandam 00.0000.0%000000.0%000000.0%00000.000
204Wallis and Futuna 3,104282,181.823,1040.0%00003,1040.0%00003,1040.0%00000.011
205Marshall Islands 00.0000.0%000000.0%000000.0%00000.059
206Vanuatu 2992.95290.0%0000290.0%0000290.0%00000.312
207Sri Lanka 50.23610.4%661-100.0%1261575.1%21194-221.476
208Azerbaijan 373.63395.3%17145-2485.8%575414-111062.4%10215516-6910.203
209Ireland 1,411283.561,4574.1%47349920-462,0071.5%4731,04920-5962,4631.6%1,4112,41944-1,0524.976
210Hong Kong 1,249165.671,7461.1%1396288-4972,3830.9%3161,43614-1,1343,3570.8%8432,91734-2,1087.539
211Belgium 5,646485.686,2562.7%1,2781,8880-6106,7652.4%2,6323,7510-1,1198,3571.9%5,6468,3570-2,71111.625
212Peru 1,85255.632,4988.2%1,8522,4980-64600.0%4,3502,49801,85200.0%4,3502,49801,85233.290
213Romania 2,891150.983,9674.1%1,3052,35823-1,0767,4112.4%2,8917,36645-4,5206,4043.5%10,30213,689126-3,51319.148
214New Zealand 5,2421,047.986,32011.0%6,8087,85234-1,0784,41211.0%14,68713,789688302,5779.0%26,50323,6961422,6655.002
215Australia 9,535370.9412,8156.2%6,7499,95475-3,2808,0900.0%-106,574-108,101821,4456,0350.0%-99,676-103,265893,50025.705
216UK 8,353122.6011,9623.1%2,8406,029420-3,60915,0093.2%8,33914,207788-6,65625,7872.3%23,09439,0851,443-17,43468.134
217Serbia 7,250832.0911,1304.2%3,6667,5460-3,88000.0%14,7967,54607,2508,3463.7%14,79615,8920-1,0968.713
218Canada 29,257770.4938,1350.0%08,8780-8,87827,7833.8%19,31217,4653731,47438,4902.0%27,90636,598541-9,23337.972
*** 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 https://www.worldometers.info/coronavirus/