COVID-19 - G20 - 20-11-27

Data from JHU, ca. 9:00 CET

G20 is a Group with the following members:
Argentina - Australia - Brazil - Canada - China - France - Germany - India - Indonesia - Italy - Japan - Korea, South - Mexico - Russia - Saudi Arabia - South Africa - Turkey - US - United Kingdom

Go to the data tables

	absolute	cases per 100.000	abs. development 1 day	rel. development 1 day	rel. development 5 days/average
Total infections	42647853	930.7	455888	1.08%	0.95%
Active cases	14594298	318.5	193696	1.35%	0.7%
Deaths	1010062	22.0	6429	0.64%	0.55%
Recovered	27043493	590.2	255763	0.95%	0.76%

Deaths per infected	2.37%
Recovered per infected	63.41%
Active per infected	34.22%
Deaths per recovered	3.73%
Projection: Total Case Percentage	5.96%

	Last days rate	Last average rate
Gives the time necessary to double the existing infections - to reach a million from the existing status, or to reach the population limit of the given group (which can well be below a million). This assumes the exponential growrate of the last day or average of the last five days continues - which it does not, as there will be saturation towards the maximum. Please take these calulations with two grains of salt. As long as there is turning point in sight the data may well hold, though.
Time to double cases	64d 11h	73d 4h
Time to reach a million cases
Time to saturate the population	>1yr	>1yr

A ranking may taste a bit fishy, as this is not a competition between countries, but to compare the relative efficiency of measures taken, or for detecting which countries are likely to get critical next, this ranking imho deserves a place in this overview.
Total:	192	Population	na
	Total cases	Cases per 100.000	Average grow rate (5 days)
Infected	na	79	78
Active	na	52	81
Deaths	na	59	68
Recovered	na	72	64
The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

Diagrams

Members of Group: G20

Argentina - Australia - Brazil - Canada - China - France - Germany - India - Indonesia - Italy - Japan - Korea, South - Mexico - Russia - Saudi Arabia - South Africa - Turkey - US - United Kingdom

Data by Country

Click on the header to sort - Click on the name for the countries dashboard! - Only countries with more then 100 infections and more then 100.000 citizens are listed!

Click top row to sort:	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±
Country	Pop (mio)	Infected	Active	Deaths	Recovered	Infected	Active	Deaths	Recovered	Infected	Deaths	Infected	Active	Deaths	Recovered	Deaths per Recovered		Recovered per infected
		absolute values				Percentage growthrate 5d				Time to double		Cases per 100.000				% / ratio
China	1401.856	92586	907	4742	86937	0.1	7.85	0.0	0.02	>1yr		6.6	0.1	0.3	6.2	5.5	1:18.3	0.94
Italy	60.243	1538217	787893	53677	696647	1.77	-0.25	1.19	3.65	39d 10h	58d 16h	2553.3	1307.8	89.1	1156.4	7.7	1:13.0	0.45
Germany	83.149	1038649	317425	16011	705213	2.18	0.67	2.01	2.31	32d 1h	34d 17h	1249.1	381.8	19.3	848.1	2.3	1:44.1	0.68
US	329.488	13088821	7876517	264858	4947446	1.34	0.75	0.51	1.48	52d 2h	136d 17h	3972.5	2390.5	80.4	1501.6	5.3	1:18.7	0.38
France	67.069	2248209	2030717	51999	165493	0.52	0.36	0.9	0.82	134d 20h	77d 5h	3352.1	3027.8	77.5	246.8	31.4	1:3.2	0.07
Korea, South	51.781	33375	5504	522	27349	1.49	5.96	0.27	0.42	47d 0h	253d 13h	64.5	10.6	1.0	52.8	1.9	1:52.4	0.82
United Kingdom	66.436	1593250	1532140	57648	3462	1.0	0.82	0.72	0.79	69d 12h	96d 17h	2398.2	2306.2	86.8	5.2	1665.2	16.7:1	0.0
Japan	126.01	142778	23041	2028	117709	1.42	1.13	0.54	1.06	49d 0h	128d 15h	113.3	18.3	1.6	93.4	1.7	1:58.1	0.82
Canada	37.965	362604	59467	11916	291221	1.66	2.12	0.54	1.2	42d 1h	127d 18h	955.1	156.6	31.4	767.1	4.1	1:24.4	0.8
Australia	25.653	27886	1394	907	25585	0.04	-0.06	0.0	0.03	stable		108.7	5.4	3.5	99.7	3.5	1:28.2	0.92
Brazil	211.284	6238350	484940	171974	5581436	0.54	1.41	0.27	0.36	127d 17h	259d 2h	2952.6	229.5	81.4	2641.7	3.1	1:32.5	0.89
Turkey	83.155	548244	142437	13191	392616	4.23	12.42	1.04	0.74	16d 17h	66d 22h	659.3	171.3	15.9	472.1	3.4	1:29.8	0.72
Indonesia	266.912	522581	68604	16521	437456	0.98	0.98	0.58	0.73	70d 22h	119d 6h	195.8	25.7	6.2	163.9	3.8	1:26.5	0.84
Saudi Arabia	34.218	356691	5212	5857	345622	0.08	-2.66	0.21	0.11	stable	335d 12h	1042.4	15.2	17.1	1010.1	1.7	1:59.2	0.97
Russia	146.745	2196691	460898	38175	1697618	1.18	0.32	1.01	1.1	59d 5h	68d 18h	1496.9	314.1	26.0	1156.8	2.2	1:44.4	0.77
India	1360.054	9351109	454940	136200	8759969	0.46	0.54	0.29	0.36	151d 16h	236d 2h	687.6	33.5	10.0	644.1	1.6	1:64.5	0.94
South Africa	58.775	781941	37687	21378	722876	0.37	2.35	0.37	0.18	188d 6h	189d 7h	1330.4	64.1	36.4	1229.9	3.0	1:33.8	0.92
Argentina	44.939	1407277	133804	38216	1235257	0.53	-0.44	0.5	0.52	130d 9h	138d 4h	3131.5	297.7	85.0	2748.8	3.1	1:32.4	0.88
Mexico	126.578	1078594	170771	104242	803581	0.7	1.18	0.5	0.62	99d 23h	138d 21h	852.1	134.9	82.4	634.9	13.0	1:7.7	0.74
G20	4582.31	42647853	14594298	1010062	27043493	0.95	0.7	0.55	0.76	73d 4h	127d 11h	930.7	318.5	22.0	590.2	3.7	1:26.8	0.63

More Data by Country

Click top row to sort:	±	±	±	±	±	±	±	±	±	±	±	±	±	±	±
Country	Pop (mio)	Infected	Active	Deaths	Recovered	Deaths per Recovered		Recovered per infected	Deaths per infected ... days ago					Possible Total %	Country
		absolute values				% / ratio		Recovered per infected	0d	5d	7d	10d	14d	Possible Total %
China	1401.856	92586	907	4742	86937	5.5	1:18.3	0.94	0.05	0.05	0.05	0.05	0.05	0.09	China
Italy	60.243	1538217	787893	53677	696647	7.7	1:13.0	0.45	0.03	0.04	0.04	0.04	0.05	24.08	Italy
Germany	83.149	1038649	317425	16011	705213	2.3	1:44.1	0.68	0.02	0.02	0.02	0.02	0.02	5.2	Germany
US	329.488	13088821	7876517	264858	4947446	5.3	1:18.7	0.38	0.02	0.02	0.02	0.02	0.02	21.73	US
France	67.069	2248209	2030717	51999	165493	31.4	1:3.2	0.07	0.02	0.02	0.02	0.02	0.03	20.95	France
Korea, South	51.781	33375	5504	522	27349	1.9	1:52.4	0.82	0.02	0.02	0.02	0.02	0.02	0.27	Korea, South
United Kingdom	66.436	1593250	1532140	57648	3462	1665.2	16.7:1	0.0	0.04	0.04	0.04	0.04	0.04	23.45	United Kingdom
Japan	126.01	142778	23041	2028	117709	1.7	1:58.1	0.82	0.01	0.02	0.02	0.02	0.02	0.43	Japan
Canada	37.965	362604	59467	11916	291221	4.1	1:24.4	0.8	0.03	0.03	0.04	0.04	0.04	8.48	Canada
Australia	25.653	27886	1394	907	25585	3.5	1:28.2	0.92	0.03	0.03	0.03	0.03	0.03	0.96	Australia
Brazil	211.284	6238350	484940	171974	5581436	3.1	1:32.5	0.89	0.03	0.03	0.03	0.03	0.03	22.0	Brazil
Turkey	83.155	548244	142437	13191	392616	3.4	1:29.8	0.72	0.02	0.03	0.03	0.03	0.03	4.29	Turkey
Indonesia	266.912	522581	68604	16521	437456	3.8	1:26.5	0.84	0.03	0.03	0.03	0.03	0.04	1.67	Indonesia
Saudi Arabia	34.218	356691	5212	5857	345622	1.7	1:59.2	0.97	0.02	0.02	0.02	0.02	0.02	4.63	Saudi Arabia
Russia	146.745	2196691	460898	38175	1697618	2.2	1:44.4	0.77	0.02	0.02	0.02	0.02	0.02	7.03	Russia
India	1360.054	9351109	454940	136200	8759969	1.6	1:64.5	0.94	0.01	0.01	0.01	0.02	0.02	2.71	India
South Africa	58.775	781941	37687	21378	722876	3.0	1:33.8	0.92	0.03	0.03	0.03	0.03	0.03	9.83	South Africa
Argentina	44.939	1407277	133804	38216	1235257	3.1	1:32.4	0.88	0.03	0.03	0.03	0.03	0.03	22.98	Argentina
Mexico	126.578	1078594	170771	104242	803581	13.0	1:7.7	0.74	0.1	0.1	0.1	0.1	0.1	22.26	Mexico
G20	4582.31	42647853	14594298	1010062	27043493	3.7	1:26.8	0.63	0.02	0.02	0.03	0.03	0.03	5.96	G20

A study of the University of Bonn on the spread of Covid-19 at Heinsberg - the most affected county in Germany - showed a rate of deaths to infected of 0.37%. As this is the first reliable data on this ratio I use it as a projection from the number of reported deaths to the spread of the disease in the whole population, given as percentage. Note that locally other factors, like a developing spread, unreported deaths or a situation where people are more prone to die due to an overstretch of the health system will affect this number. Countries with a different population structure (eg. more young vs. old) may also get other ratios, so take this with a grain of salt - I will keep an eye on the developing scientific results.
Links (German):
Preliminary results - Press coverage: Die Welt