COVID-19 - G20 - 20-06-03

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	4556107	99.4	5941	0.13%	1.38%
Active cases	2375448	51.8	-53363	-2.2%	0.87%
Deaths	295544	6.4	4667	1.6%	0.86%
Recovered	1885115	41.1	54637	2.98%	2.09%

Deaths per infected	6.49%
Recovered per infected	41.38%
Active per infected	52.14%
Deaths per recovered	15.68%
Projection: Total Case Percentage	1.74%

	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	>1yr	50d 17h
Time to reach a million cases
Time to saturate the population	stable	>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	55	92
Active	na	39	84
Deaths	na	29	69
Recovered	na	57	69
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	84160	118	4638	79404	0.01	3.76	0.0	0.0	stable		6.0	0.0	0.3	5.7	5.8	1:17.1	0.94
Italy	60.243	233836	39297	33601	160938	0.14	-2.86	0.18	0.93	>1yr	>1yr	388.2	65.2	55.8	267.1	20.9	1:4.8	0.69
Germany	83.149	184121	8066	8602	167453	0.13	-3.03	0.14	0.29	>1yr	>1yr	221.4	9.7	10.3	201.4	5.1	1:19.5	0.91
US	329.488	1851520	1265087	107175	479258	1.18	0.4	0.65	2.7	59d 1h	107d 7h	561.9	384.0	32.5	145.5	22.4	1:4.5	0.26
France	67.069	114400	15803	29024	69573	-7.69	0.07	0.16	0.3		>1yr	170.6	23.6	43.3	103.7	41.7	1:2.4	0.61
Korea, South	51.781	11629	857	273	10499	0.33	1.9	0.3	0.13	212d 15h	234d 17h	22.5	1.7	0.5	20.3	2.6	1:38.5	0.9
United Kingdom	66.436	281270	240247	39811	1212	0.63	0.47	0.63	0.88	110d 18h	111d 3h	423.4	361.6	59.9	1.8	3284.7	32.8:1	0.0
Japan	126.01	16867	1260	905	14702	0.23	-2.99	0.34	0.52	299d 13h	206d 10h	13.4	1.0	0.7	11.7	6.2	1:16.2	0.87
Canada	37.965	94641	35556	7579	51506	0.81	-0.1	1.15	1.15	86d 3h	60d 13h	249.3	93.7	20.0	135.7	14.7	1:6.8	0.54
Australia	25.653	7240	490	102	6648	0.16	0.63	-0.19	0.09	>1yr		28.2	1.9	0.4	25.9	1.5	1:65.4	0.92
Brazil	211.284	584016	312851	32548	238617	4.67	3.97	2.29	3.4	15d 4h	30d 15h	276.4	148.1	15.4	112.9	13.6	1:7.3	0.41
Turkey	83.155	166422	30961	4609	130852	0.53	-0.39	0.42	0.62	132d 7h	163d 16h	200.1	37.2	5.5	157.4	3.5	1:28.4	0.79
Indonesia	266.912	28233	18129	1698	8406	2.29	0.86	1.82	4.13	30d 15h	38d 9h	10.6	6.8	0.6	3.1	20.2	1:5.0	0.3
Saudi Arabia	34.218	91182	22444	579	68159	2.2	-1.33	3.71	2.92	31d 19h	19d 0h	266.5	65.6	1.7	199.2	0.8	1:117.6	0.75
Russia	146.745	431715	230948	5208	195559	2.18	0.67	2.85	3.24	32d 4h	24d 16h	294.2	157.4	3.5	133.3	2.7	1:37.6	0.45
India	1360.054	216824	106665	6088	104071	4.56	3.33	3.21	3.97	15d 13h	21d 22h	15.9	7.8	0.4	7.7	5.8	1:17.1	0.48
South Africa	58.775	37525	17051	792	19682	5.12	4.39	4.35	3.97	13d 21h	16d 6h	63.8	29.0	1.3	33.5	4.0	1:24.9	0.52
Argentina	44.939	19268	12789	583	5896	4.56	3.6	1.82	3.66	15d 13h	38d 8h	42.9	28.5	1.3	13.1	9.9	1:10.1	0.31
Mexico	126.578	101238	16829	11729	72680	3.65	0.92	2.48	3.42	19d 8h	28d 6h	80.0	13.3	9.3	57.4	16.1	1:6.2	0.72
G20	4582.31	4556107	2375448	295544	1885115	1.38	0.87	0.86	2.09	50d 17h	80d 23h	99.4	51.8	6.4	41.1	15.7	1:6.4	0.41

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	84160	118	4638	79404	5.8	1:17.1	0.94	0.06	0.06	0.06	0.06	0.06	0.09	China
Italy	60.243	233836	39297	33601	160938	20.9	1:4.8	0.69	0.14	0.14	0.14	0.15	0.15	15.07	Italy
Germany	83.149	184121	8066	8602	167453	5.1	1:19.5	0.91	0.05	0.05	0.05	0.05	0.05	2.8	Germany
US	329.488	1851520	1265087	107175	479258	22.4	1:4.5	0.26	0.06	0.06	0.06	0.06	0.07	8.79	US
France	67.069	114400	15803	29024	69573	41.7	1:2.4	0.61	0.25	0.15	0.16	0.16	0.16	11.7	France
Korea, South	51.781	11629	857	273	10499	2.6	1:38.5	0.9	0.02	0.02	0.02	0.02	0.02	0.14	Korea, South
United Kingdom	66.436	281270	240247	39811	1212	3284.7	32.8:1	0.0	0.14	0.15	0.15	0.15	0.16	16.2	United Kingdom
Japan	126.01	16867	1260	905	14702	6.2	1:16.2	0.87	0.05	0.05	0.05	0.05	0.06	0.19	Japan
Canada	37.965	94641	35556	7579	51506	14.7	1:6.8	0.54	0.08	0.08	0.08	0.09	0.09	5.4	Canada
Australia	25.653	7240	490	102	6648	1.5	1:65.4	0.92	0.01	0.01	0.01	0.01	0.01	0.11	Australia
Brazil	211.284	584016	312851	32548	238617	13.6	1:7.3	0.41	0.06	0.07	0.07	0.09	0.1	4.16	Brazil
Turkey	83.155	166422	30961	4609	130852	3.5	1:28.4	0.79	0.03	0.03	0.03	0.03	0.03	1.5	Turkey
Indonesia	266.912	28233	18129	1698	8406	20.2	1:5.0	0.3	0.06	0.07	0.07	0.07	0.08	0.17	Indonesia
Saudi Arabia	34.218	91182	22444	579	68159	0.8	1:117.6	0.75	0.01	0.01	0.01	0.01	0.01	0.46	Saudi Arabia
Russia	146.745	431715	230948	5208	195559	2.7	1:37.6	0.45	0.01	0.01	0.01	0.01	0.02	0.96	Russia
India	1360.054	216824	106665	6088	104071	5.8	1:17.1	0.48	0.03	0.03	0.04	0.04	0.05	0.12	India
South Africa	58.775	37525	17051	792	19682	4.0	1:24.9	0.52	0.02	0.03	0.03	0.03	0.04	0.36	South Africa
Argentina	44.939	19268	12789	583	5896	9.9	1:10.1	0.31	0.03	0.04	0.04	0.05	0.06	0.35	Argentina
Mexico	126.578	101238	16829	11729	72680	16.1	1:6.2	0.72	0.12	0.13	0.14	0.16	0.2	2.5	Mexico
G20	4582.31	4556107	2375448	295544	1885115	15.7	1:6.4	0.41	0.06	0.07	0.07	0.07	0.08	1.74	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