Coronavirus COVID-19. Current state and last updates.

Coronavirus COVID-19. Current state and last updates.

График

График

30-Nov-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
1Singapore 559,13495,058.48548,4080.3%10,7260010,726548,4080.1%10,7260010,726500,5100.4%58,6240058,6245.882
2Brunei 70,093159,302.2770,0930.0%000069,0660.1%1,027001,02768,2680.1%1,825001,8250.440
3Vietnam 939,9379,596.38939,9370.0%0000939,9370.0%0000939,9370.0%000097.947
4Lebanon 145,29921,354.94145,2990.0%0000145,2990.0%0000145,2990.0%00006.804
5Maldives 22,69141,482.6322,6910.0%000022,6910.0%000022,6910.0%00000.547
6Macao 16,51125,207.6316,4640.0%47004716,3900.1%1210012116,1310.1%380003800.655
7Israel 30,5923,325.9430,5920.0%000030,5760.0%16001629,5440.1%1,0580101,0489.198
8Armenia 7,1712,416.927,1710.0%00006,9420.2%234052296,4100.4%7730127612.967
9Thailand 32,457464.1931,9790.2%4800247831,5900.2%8700386731,0010.2%1,461051,45669.922
10Kazakhstan 14,963790.3614,9630.0%000014,9630.0%000014,9630.0%000018.932
11China 118,97782.66118,9770.0%0000118,9770.0%0000118,9770.0%00001,439.324
12Kyrgyzstan 7,5001,136.547,5000.0%00007,5000.0%00007,5000.0%00006.599
13Malaysia 13,380409.7611,5842.1%1,801051,79611,5841.0%1,801051,79611,6461.2%4,8323,088101,73432.653
14Afghanistan 12,634319.5812,4990.4%320183213512,4700.4%656489316412,2720.4%1,4291,059836239.533
15Uzbekistan 10,539311.7610,5390.0%000010,5390.0%000010,5390.0%000033.805
16Kuwait 3,713860.693,7130.0%00003,6940.0%1900193,6250.1%8800884.314
17Bhutan 1,1121,429.311,1120.0%00001,1120.0%00001,1120.0%00000.778
18Pakistan 12,58356.2112,5830.0%000012,5830.0%000012,5730.0%100010223.855
19Jordan 1,868181.841,8680.0%00001,8680.0%00001,8680.0%000010.273
20Hong Kong 1,249165.671,7461.1%1396288-4972,3830.9%3161,43614-1,1343,3570.8%8432,91734-2,1087.539
21Indonesia 5,14518.675,0360.4%1433401094,9670.3%2365801784,8620.3%3921090283275.530
22Philippines 3,11828.193,2033.9%9891,06311-853,1023.9%2,2222,18620162,8163.5%4,6584,32630302110.592
23Myanmar 1,96035.861,9580.0%20021,9510.0%90091,9270.1%33003354.663
24Timor-Leste 220164.672200.0%00002200.0%00002200.0%00001.336
25Tajikistan 39740.993970.0%00003970.0%00003970.0%00009.685
26Yemen 66221.866620.0%00006620.0%00006620.0%000030.279
27Iraq 67316.486730.0%00006730.0%00006730.0%000040.845
28Qatar 14752.351470.0%00001470.0%00001470.0%00002.808
29Palestine 15930.681590.0%00001590.0%00001590.0%00005.183
30Bahrain 6034.444522.8%1441290154510.8%144129015705.6%2482580-101.742
31Nepal 973.29970.0%0000970.0%0000970.0%000029.499
32Azerbaijan 373.63395.3%17145-2375.2%38271101062.4%10215516-6910.203
33Mongolia 133.921100.0%0970-9700.0%1109701300.0%110970133.315
34Sri Lanka 50.23120.0%061-700.0%1261575.1%21194-221.476
35Cambodia 40.24310.4%320137.3%540135.4%1090116.879
36Saudi Arabia 00.0000.0%00003,9000.0%0-827,9230827,9233,9000.0%0-827,9230827,92335.189
37Georgia 00.0000.0%000061,6090.0%0-1,776,54801,776,54861,6090.0%0-1,776,54801,776,54810.617
38S. Korea 00.0000.0%000000.0%000000.0%000051.300
39India 00.0000.0%3240132300.0%5050350200.0%747057421,389.420
40Syria 00.0000.0%000000.0%000000.0%000017.794
41Iran 00.0000.0%000099,1950.1%1,051-7,377,233557,378,22996,2680.2%4,131-7,377,2332087,381,15684.738
42UAE 00.0000.0%000010,1560.0%0-1,054,52501,054,52510,1560.0%0-1,054,52501,054,5259.973
43Laos 00.0000.0%400400.0%400400.0%80087.349
44Japan 00.0000.0%000000.0%000000.0%0000126.206
45Bangladesh 00.0000.0%34003418,0330.0%68-1,998,44801,998,51617,9670.0%134-1,998,44801,998,582165.828
46Cyprus 00.0000.0%000000.0%000000.0%00001.213
47Turkey 00.0000.0%000000.0%000000.0%000084.969
48Oman 00.0000.0%000010,1520.0%0-384,6690384,66910,1520.0%0-384,6690384,6695.196
49Taiwan 00.0000.0%000000.0%000000.0%000023.847
*** 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/