Coronavirus COVID-19. Current state and last updates.

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№	Country	Active cases		1 Day						4 Days						1 Week						Population
		Total	/1m pop	Start from	Speed	New cases	Recovered	Died	Total	Start from	Speed	New cases	Recovered	Died	Total	Start from	Speed	New cases	Recovered	Died	Total
1	India	97,858	70.43	88,477	68.7%	60,800	97,858	1,646	-38,704	920,194	6.3%	252,729	398,099	8,106	-153,476	1,089,248	5.2%	464,731	769,191	18,070	-322,530	1,389.420
2	Iran	13,869	163.67	12,309	82.1%	10,100	13,869	127	-3,896	290,614	3.4%	41,094	56,011	529	-15,446	306,480	2.9%	67,448	97,810	950	-31,312	84.738
3	Mongolia	2,505	755.66	571	480.9%	2,746	2,505	11	230	20,953	10.4%	10,169	4,700	42	5,427	15,509	10.9%	16,412	5,472	69	10,871	3.315
4	Maldives	964	1,762.34	1,034	13.7%	142	964	2	-824	8,714	2.3%	825	3,417	5	-2,597	13,080	1.7%	1,667	8,619	11	-6,963	0.547
5	Malaysia	6,861	210.12	7,530	85.5%	6,440	6,861	74	-495	71,625	7.1%	22,747	28,462	308	-6,023	78,864	5.9%	38,793	51,547	508	-13,262	32.653
6	Bahrain	1,199	688.29	1,457	33.4%	487	1,199	15	-727	12,213	4.7%	2,465	5,711	50	-3,296	15,196	4.2%	5,067	11,256	90	-6,279	1.742
7	Nepal	4,020	136.28	2,141	91.7%	1,963	4,020	44	-2,101	65,804	2.7%	7,426	13,430	176	-6,180	75,275	2.4%	13,551	28,866	336	-15,651	29.499
8	Kuwait	1,386	321.28	1,427	116.2%	1,658	1,386	9	263	16,139	8.6%	6,348	5,472	23	853	15,689	7.8%	10,860	9,519	38	1,303	4.314
9	UAE	1,918	192.32	2,127	91.3%	1,942	1,918	6	18	19,048	9.4%	8,247	8,115	17	115	18,980	8.3%	14,176	13,966	27	183	9.973
10	Iraq	3,863	94.58	3,930	129.0%	5,068	3,863	23	1,182	66,371	6.8%	20,014	15,709	98	4,207	66,089	5.9%	32,837	28,182	166	4,489	40.845
11	Thailand	4,094	58.55	4,651	65.7%	3,058	4,094	22	-1,058	39,854	6.6%	11,518	18,466	111	-7,059	43,428	5.8%	20,954	31,412	175	-10,633	69.922
12	Turkey	4,427	52.10	4,143	134.6%	5,575	4,427	59	1,089	80,442	6.7%	23,655	17,388	276	5,991	77,821	6.2%	40,369	31,279	478	8,612	84.969
13	Indonesia	7,907	28.70	7,350	176.7%	12,990	7,907	290	4,793	115,197	8.4%	43,719	27,893	927	14,899	106,315	7.4%	69,241	43,983	1,477	23,781	275.530
14	Sri Lanka	1,825	84.98	1,289	182.2%	2,349	1,825	55	469	33,198	6.5%	9,491	6,795	220	2,476	32,760	6.0%	16,490	13,169	407	2,914	21.476
15	Kazakhstan	1,435	75.80	1,052	111.6%	1,174	1,435	8	-269	20,426	4.7%	4,144	4,819	40	-715	20,890	4.4%	7,287	8,391	75	-1,179	18.932
16	Philippines	3,441	31.11	4,585	148.7%	6,819	3,341	109	3,369	59,096	9.0%	24,223	21,003	540	2,680	61,345	8.3%	45,927	44,618	878	431	110.592
17	Japan	2,635	20.88	3,272	47.7%	1,560	2,635	51	-1,126	30,714	4.3%	5,667	12,402	249	-6,984	34,753	4.0%	10,978	21,588	413	-11,023	126.206
18	Cambodia	910	53.91	705	113.3%	799	910	14	-125	5,654	10.0%	2,612	2,973	46	-407	6,393	7.6%	4,260	5,323	83	-1,146	16.879
19	Georgia	657	61.88	945	71.0%	671	657	17	-3	8,888	8.2%	3,315	3,049	71	195	9,817	6.0%	4,942	5,557	119	-734	10.617
20	Palestine	453	87.40	428	38.6%	165	453	3	-291	4,013	4.7%	809	1,520	9	-720	4,550	4.1%	1,481	2,714	24	-1,257	5.183
21	Lebanon	485	71.28	597	28.1%	168	485	4	-321	7,203	2.1%	618	1,583	14	-979	7,987	1.5%	892	2,630	25	-1,763	6.804
22	Saudi Arabia	1,050	29.84	1,022	120.9%	1,236	1,050	15	171	10,075	10.7%	5,053	4,018	60	975	10,112	8.9%	8,256	7,205	113	938	35.189
23	Bangladesh	1,955	11.79	2,714	143.1%	3,883	1,955	54	1,874	47,970	7.0%	14,998	9,591	227	5,180	47,901	5.6%	22,121	16,505	367	5,249	165.828
24	Jordan	482	46.92	620	48.5%	301	482	12	-193	7,343	5.6%	1,790	2,436	45	-691	7,862	4.9%	3,146	4,286	70	-1,210	10.273
25	Kyrgyzstan	372	56.37	365	178.9%	653	372	4	277	6,040	9.4%	2,601	1,412	21	1,168	5,299	8.8%	4,237	2,284	44	1,909	6.599
26	Armenia	238	80.22	122	70.5%	86	238	1	-153	4,007	2.2%	363	665	4	-306	4,075	1.8%	531	895	10	-374	2.967
27	Afghanistan	728	18.42	301	557.1%	1,677	728	87	862	27,883	5.9%	7,249	1,720	347	5,182	24,830	5.6%	11,633	2,828	570	8,235	39.533
28	S. Korea	787	15.34	591	85.8%	507	787	2	-282	7,263	6.2%	1,965	2,794	8	-837	7,654	5.4%	3,379	4,592	15	-1,228	51.300
29	Pakistan	1,410	6.30	4,763	21.9%	1,043	1,410	39	-406	41,726	2.3%	4,038	9,765	190	-5,917	43,618	2.3%	7,490	14,962	337	-7,809	223.855
30	Qatar	143	50.93	208	88.5%	184	143	1	40	2,165	6.5%	622	758	3	-139	2,409	5.3%	1,043	1,418	8	-383	2.808
31	Timor-Leste	97	72.60	116	84.5%	98	97	0	1	1,489	4.1%	261	564	0	-303	1,616	3.6%	457	886	1	-430	1.336
32	Uzbekistan	395	11.68	295	130.5%	385	395	4	-14	3,372	9.1%	1,406	1,285	9	112	3,265	8.0%	2,327	2,095	13	219	33.805
33	Cyprus	73	60.18	75	101.3%	76	73	0	3	1,235	5.1%	273	295	0	-22	1,577	3.3%	405	767	2	-364	1.213
34	Azerbaijan	148	14.51	153	39.2%	60	148	2	-90	1,542	3.1%	203	640	6	-443	1,920	2.3%	334	1,145	10	-821	10.203
35	Bhutan	14	17.99	29	24.1%	7	14	0	-7	358	4.1%	63	77	0	-14	348	3.7%	100	104	0	-4	0.778
36	Myanmar	106	1.94	130	231.5%	301	106	1	194	9,609	3.1%	1,243	483	3	757	9,060	2.9%	2,005	687	12	1,306	54.663
37	Singapore	27	4.59	29	55.2%	16	27	0	-11	373	5.0%	81	93	0	-12	412	4.2%	137	188	0	-51	5.882
38	Vietnam	80	0.82	63	419.0%	264	80	1	183	6,515	5.7%	1,604	497	3	1,104	6,119	4.9%	2,434	929	5	1,500	97.947
39	Laos	7	0.95	14	92.9%	13	7	0	6	127	6.6%	37	51	0	-14	149	5.5%	68	104	0	-36	7.349
40	Syria	8	0.45	10	440.0%	44	8	5	31	1,363	3.1%	175	35	22	118	1,298	2.7%	268	54	31	183	17.794
41	Hong Kong	5	0.66	2	150.0%	3	5	0	-2	71	2.0%	6	10	0	-4	72	1.9%	10	15	0	-5	7.539
42	Yemen	6	0.20	59	10.2%	6	6	1	-1	1,748	0.2%	12	81	2	-71	1,817	0.1%	19	149	10	-140	30.279
43	China	13	0.01	15	153.3%	23	13	0	10	471	4.1%	83	53	0	30	426	5.0%	175	100	0	75	1,439.324
44	Brunei	0	0.00	0	0.0%	1	0	0	1	6	10.7%	3	0	0	3	6	6.0%	3	0	0	3	0.440
45	Israel	0	0.00	0	0.0%	22	0	0	22	231	7.6%	79	32	-2	49	218	6.3%	116	54	0	62	9.198
46	Macao	0	0.00	0	0.0%	0	0	0	0	1	18.9%	1	0	0	1	1	10.4%	1	0	0	1	0.655
47	Tajikistan	0	0.00	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	0	0.0%	0	0	0	0	9.685
48	Oman	0	0.00	1,072	0.0%	0	0	0	0	22,414	6.4%	6,283	2,386	94	3,803	19,957	7.2%	12,504	6,085	159	6,260	5.196
49	Taiwan	0	0.00	0	0.0%	187	0	21	166	11,521	1.4%	665	6,909	66	-6,310	10,977	1.6%	1,276	6,909	133	-5,766	23.847

*** 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/