COVID-19 - G20 - 20-08-06

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	13855506	302.4	216410	1.59%	1.37%
Active cases	5327249	116.3	68701	1.31%	0.42%
Deaths	529738	11.6	5725	1.09%	0.61%
Recovered	7998519	174.6	141984	1.81%	1.53%

Deaths per infected	3.82%
Recovered per infected	57.73%
Active per infected	38.45%
Deaths per recovered	6.62%
Projection: Total Case Percentage	3.12%

	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	44d 0h	50d 19h
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:	189	Population	na
	Total cases	Cases per 100.000	Average grow rate (5 days)
Infected	na	61	64
Active	na	39	79
Deaths	na	36	79
Recovered	na	57	57
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	88460	2188	4680	81592	0.14	-0.16	0.04	0.13	>1yr	stable	6.3	0.2	0.3	5.8	5.7	1:17.4	0.92
Italy	60.243	249204	12694	35187	201323	0.11	0.3	0.02	0.07	>1yr	stable	413.7	21.1	58.4	334.2	17.5	1:5.7	0.81
Germany	83.149	215039	10577	9181	195281	0.38	2.44	0.05	0.2	182d 22h	stable	258.6	12.7	11.0	234.9	4.7	1:21.3	0.91
US	329.488	4883579	3125090	159865	1598624	1.11	0.55	0.46	1.55	62d 13h	151d 17h	1482.2	948.5	48.5	485.2	10.0	1:10.0	0.33
France	67.069	231310	118410	30308	82592	0.54	0.5	0.02	0.13	128d 21h	stable	344.9	176.5	45.2	123.1	36.7	1:2.7	0.36
Korea, South	51.781	14519	673	303	13543	0.21	-2.85	0.07	0.36	327d 2h	stable	28.0	1.3	0.6	26.2	2.2	1:44.6	0.93
United Kingdom	66.436	309796	261851	46498	1447	0.28	0.13	0.01	0.07	252d 0h	stable	466.3	394.1	70.0	2.2	3213.4	32.1:1	0.0
Japan	126.01	44167	14275	1034	28858	3.16	3.6	0.31	2.03	22d 6h	220d 18h	35.1	11.3	0.8	22.9	3.6	1:27.9	0.65
Canada	37.965	120374	6696	9013	104665	0.31	0.56	0.05	0.25	222d 0h	stable	317.1	17.6	23.7	275.7	8.6	1:11.6	0.87
Australia	25.653	20272	8887	266	11119	2.54	3.12	4.25	1.41	27d 16h	16d 15h	79.0	34.6	1.0	43.3	2.4	1:41.8	0.55
Brazil	211.284	2912212	583177	98493	2230542	1.47	-0.14	0.78	1.46	47d 14h	89d 8h	1378.3	276.0	46.6	1055.7	4.4	1:22.6	0.77
Turkey	83.155	237265	10921	5798	220546	0.46	0.34	0.26	0.37	150d 15h	269d 1h	285.3	13.1	7.0	265.2	2.6	1:38.0	0.93
Indonesia	266.912	118753	37587	5521	75645	1.55	0.38	0.98	1.7	44d 22h	71d 2h	44.5	14.1	2.1	28.3	7.3	1:13.7	0.64
Saudi Arabia	34.218	284226	34082	3055	247089	0.48	-1.41	0.91	0.65	144d 5h	76d 20h	830.6	99.6	8.9	722.1	1.2	1:80.6	0.87
Russia	146.745	870187	180539	14579	675069	0.62	-0.19	0.61	0.69	112d 22h	114d 10h	593.0	123.0	9.9	460.0	2.2	1:46.3	0.78
India	1360.054	2027074	607384	41585	1378105	2.97	0.96	1.73	3.02	23d 15h	40d 10h	149.0	44.7	3.1	101.3	3.0	1:33.1	0.68
South Africa	58.775	538184	141264	9604	387316	1.35	-1.23	2.68	1.96	51d 16h	26d 5h	915.7	240.3	16.3	659.0	2.5	1:40.3	0.72
Argentina	44.939	228195	124092	4251	99852	3.03	2.37	2.7	2.31	23d 4h	25d 23h	507.8	276.1	9.5	222.2	4.3	1:23.5	0.44
Mexico	126.578	462690	46862	50517	365311	1.28	-2.76	0.92	1.56	54d 12h	75d 10h	365.5	37.0	39.9	288.6	13.8	1:7.2	0.79
G20	4582.31	13855506	5327249	529738	7998519	1.37	0.42	0.61	1.53	50d 19h	114d 17h	302.4	116.3	11.6	174.6	6.6	1:15.1	0.58

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	88460	2188	4680	81592	5.7	1:17.4	0.92	0.05	0.05	0.05	0.05	0.05	0.09	China
Italy	60.243	249204	12694	35187	201323	17.5	1:5.7	0.81	0.14	0.14	0.14	0.14	0.14	15.79	Italy
Germany	83.149	215039	10577	9181	195281	4.7	1:21.3	0.91	0.04	0.04	0.04	0.04	0.04	2.98	Germany
US	329.488	4883579	3125090	159865	1598624	10.0	1:10.0	0.33	0.03	0.03	0.03	0.04	0.04	13.11	US
France	67.069	231310	118410	30308	82592	36.7	1:2.7	0.36	0.13	0.13	0.13	0.14	0.14	12.21	France
Korea, South	51.781	14519	673	303	13543	2.2	1:44.6	0.93	0.02	0.02	0.02	0.02	0.02	0.16	Korea, South
United Kingdom	66.436	309796	261851	46498	1447	3213.4	32.1:1	0.0	0.15	0.15	0.15	0.15	0.16	18.92	United Kingdom
Japan	126.01	44167	14275	1034	28858	3.6	1:27.9	0.65	0.02	0.03	0.03	0.03	0.04	0.22	Japan
Canada	37.965	120374	6696	9013	104665	8.6	1:11.6	0.87	0.07	0.08	0.08	0.08	0.08	6.42	Canada
Australia	25.653	20272	8887	266	11119	2.4	1:41.8	0.55	0.01	0.01	0.02	0.02	0.02	0.28	Australia
Brazil	211.284	2912212	583177	98493	2230542	4.4	1:22.6	0.77	0.03	0.04	0.04	0.04	0.04	12.6	Brazil
Turkey	83.155	237265	10921	5798	220546	2.6	1:38.0	0.93	0.02	0.02	0.03	0.03	0.03	1.88	Turkey
Indonesia	266.912	118753	37587	5521	75645	7.3	1:13.7	0.64	0.05	0.05	0.05	0.05	0.06	0.56	Indonesia
Saudi Arabia	34.218	284226	34082	3055	247089	1.2	1:80.6	0.87	0.01	0.01	0.01	0.01	0.01	2.41	Saudi Arabia
Russia	146.745	870187	180539	14579	675069	2.2	1:46.3	0.78	0.02	0.02	0.02	0.02	0.02	2.69	Russia
India	1360.054	2027074	607384	41585	1378105	3.0	1:33.1	0.68	0.02	0.02	0.02	0.03	0.03	0.83	India
South Africa	58.775	538184	141264	9604	387316	2.5	1:40.3	0.72	0.02	0.02	0.02	0.02	0.02	4.42	South Africa
Argentina	44.939	228195	124092	4251	99852	4.3	1:23.5	0.44	0.02	0.02	0.02	0.02	0.03	2.56	Argentina
Mexico	126.578	462690	46862	50517	365311	13.8	1:7.2	0.79	0.11	0.12	0.12	0.13	0.13	10.79	Mexico
G20	4582.31	13855506	5327249	529738	7998519	6.6	1:15.1	0.58	0.04	0.04	0.04	0.04	0.05	3.12	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