Coronavirus COVID-19. Current state and last updates.

Coronavirus COVID-19. Current state and last updates.

31-Dec-2021                World              Russia    Europe    Asia    North America    South America    Africa    Oceania          
β„–CountryActive cases1 Day4 Days1 WeekPopulation
Total/1m popStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotalStart fromSpeedNew casesRecoveredDiedTotal
1Macao 13,10620,009.1613,1060.0%000013,1060.0%000012,5130.7%593005930.655
2Hong Kong 2,847377.642,8470.0%00002,8470.0%00002,5233.6%714372183247.539
3Thailand 29,942428.2229,9420.0%000029,7330.2%2120320929,7330.1%2120320969.922
4Vietnam 939,5539,592.46939,5440.0%241509939,4770.0%11337076939,4190.0%19763013497.947
5Bangladesh 17,592106.0917,5920.0%000017,5920.0%000017,4830.1%10900109165.828
6Kuwait 3,399787.903,3990.0%00003,3990.0%00003,3460.2%5300534.314
7Pakistan 12,46455.6812,4640.0%000012,4170.1%47004712,4170.1%470047223.855
8Malaysia 11,242344.2911,2106.5%72869243211,2101.6%72869243211,2100.9%72869243232.653
9Azerbaijan 14714.411470.0%000013220.0%14212701513211.0%14212701510.203
10Laos 00.0000.0%100100.0%700700.0%1500157.349
11Myanmar 1,81133.131,8110.0%00001,8020.1%90091,8000.1%11001154.663
12Afghanistan 11,468290.0911,4690.2%25260-111,4830.2%891040-1511,4650.2%1911880339.533
13China 118,97782.66118,9770.0%0000118,9770.0%0000118,9770.0%00001,439.324
14Japan 00.0000.0%000000.0%000000.0%0000126.206
15Singapore 408,57069,461.07408,5700.0%0000408,5700.0%0000408,5700.0%00005.882
16Taiwan 00.0000.0%000000.0%000000.0%000023.847
17Iraq 67316.486730.0%00006730.0%00006730.0%000040.845
18UAE 10,1561,018.3510,1560.0%000010,1560.0%000010,1560.0%00009.973
19Israel 24,8302,699.5024,8300.0%000024,8300.0%000024,8300.0%00009.198
20Turkey 00.0000.0%000000.0%000000.0%000084.969
21Qatar 14752.351470.0%00001470.0%00001470.0%00002.808
22Saudi Arabia 3,900110.833,9000.0%00003,9000.0%00003,9000.0%000035.189
23Philippines 3,63032.823,6300.0%00003,6300.0%00003,6300.0%0000110.592
24Lebanon 141,37020,777.48141,3700.0%0000141,3700.0%0000141,3700.0%00006.804
25Armenia 5,4441,834.855,4440.0%00005,4440.0%00005,4440.0%00002.967
26Brunei 66,696151,581.8266,6960.0%000066,6960.0%000066,6960.0%00000.440
27Jordan 1,868181.841,8680.0%00001,8680.0%00001,8680.0%000010.273
28Cyprus 00.0000.0%000000.0%000000.0%00001.213
29Oman 10,1521,953.8110,1520.0%000010,1520.0%000010,1520.0%00005.196
30Palestine 15930.681590.0%00001590.0%00001590.0%00005.183
31Kazakhstan 14,963790.3614,9630.0%000014,9630.0%000014,9630.0%000018.932
32Georgia 61,6095,802.8661,6090.0%000061,6090.0%000061,6090.0%000010.617
33Cambodia 00.0000.0%000000.0%000000.0%000016.879
34Uzbekistan 10,539311.7610,5390.0%000010,5390.0%000010,5390.0%000033.805
35Maldives 22,69141,482.6322,6910.0%000022,6910.0%000022,6910.0%00000.547
36Mongolia 00.0000.0%000000.0%000000.0%00003.315
37Kyrgyzstan 7,5001,136.547,5000.0%00007,5000.0%00007,5000.0%00006.599
38Nepal 812.75810.0%0000810.0%0000810.0%000029.499
39Bhutan 1,1121,429.311,1120.0%00001,1120.0%00001,1120.0%00000.778
40Timor-Leste 220164.672200.0%00002200.0%00002200.0%00001.336
41Syria 00.0000.0%000000.0%000000.0%000017.794
42Yemen 66221.866620.0%00006620.0%00006620.0%000030.279
43Tajikistan 39740.993970.0%00003970.0%00003970.0%00009.685
44Sri Lanka 30.1430.0%000037.5%110067.6%470-321.476
45India 5810.426208.2%51900-396536.5%1872590-726306.0%3193680-491,389.420
46Indonesia 4,68417.004,7841.1%511510-1004,7840.3%511510-1004,7840.2%511510-100275.530
47Bahrain 444254.884440.0%000048715.9%3934360-436428.7%5067040-1981.742
48Iran 92,2251,088.3592,2250.0%000093,0470.5%1,7552,54928-82293,0470.3%1,7552,54928-82284.738
49S. Korea 00.0000.0%000092,3370.0%092,3370-92,337181,4230.0%0181,4230-181,42351.300
*** 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/