COVID-19 - G20 - 20-10-09

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	26716119	583.0	246467	0.93%	0.91%
Active cases	7548667	164.7	89600	1.2%	0.6%
Deaths	781015	17.0	4295	0.55%	0.47%
Recovered	18386437	401.2	152572	0.84%	0.79%

Deaths per infected	2.92%
Recovered per infected	68.82%
Active per infected	28.26%
Deaths per recovered	4.25%
Projection: Total Case Percentage	4.61%

	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	74d 18h	76d 7h
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	62	75
Active	na	44	84
Deaths	na	43	70
Recovered	na	58	62
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	90751	371	4739	85641	0.03	0.97	0.0	0.02	stable		6.5	0.0	0.3	6.1	5.5	1:18.1	0.94
Italy	60.243	343770	70110	36111	237549	1.11	2.82	0.05	0.38	62d 19h	stable	570.6	116.4	59.9	394.3	15.2	1:6.6	0.69
Germany	83.149	320495	37178	9599	273718	1.22	2.84	0.03	0.75	56d 22h	stable	385.4	44.7	11.5	329.2	3.5	1:28.5	0.85
US	329.488	7663293	4410452	213752	3039089	0.65	0.35	0.29	0.74	106d 10h	240d 15h	2325.8	1338.6	64.9	922.4	7.0	1:14.2	0.4
France	67.069	732434	596601	32601	103232	3.08	3.04	0.23	0.45	22d 19h	304d 13h	1092.1	889.5	48.6	153.9	31.6	1:3.2	0.14
Korea, South	51.781	24548	1494	430	22624	0.32	-4.4	0.28	0.62	219d 19h	245d 3h	47.4	2.9	0.8	43.7	1.9	1:52.6	0.92
United Kingdom	66.436	578390	533133	42769	2488	2.73	2.43	0.11	0.59	25d 18h	>1yr	870.6	802.5	64.4	3.7	1719.0	17.2:1	0.0
Japan	126.01	88267	6504	1623	80140	0.58	0.29	0.24	0.46	119d 14h	293d 2h	70.0	5.2	1.3	63.6	2.0	1:49.3	0.91
Canada	37.965	180625	18941	9638	152046	1.4	2.29	0.16	0.99	49d 20h	>1yr	475.8	49.9	25.4	400.5	6.3	1:15.8	0.84
Australia	25.653	27244	1360	897	24987	0.07	-0.05	0.07	0.06	stable	stable	106.2	5.3	3.5	97.4	3.6	1:27.9	0.92
Brazil	211.284	5055888	403395	149639	4502854	0.57	-0.1	0.35	0.51	122d 20h	196d 7h	2392.9	190.9	70.8	2131.2	3.3	1:30.1	0.89
Turkey	83.155	332382	31906	8722	291754	0.48	0.5	0.53	0.37	143d 8h	131d 1h	399.7	38.4	10.5	350.9	3.0	1:33.4	0.88
Indonesia	266.912	324658	65314	11677	247667	1.36	0.32	0.76	1.33	51d 10h	91d 17h	121.6	24.5	4.4	92.8	4.7	1:21.2	0.76
Saudi Arabia	34.218	338539	9261	4996	324282	0.13	-1.3	0.4	0.14	>1yr	175d 19h	989.4	27.1	14.6	947.7	1.5	1:64.9	0.96
Russia	146.745	1265572	238236	22137	1005199	0.92	1.93	0.63	0.46	75d 20h	110d 3h	862.4	162.3	15.1	685.0	2.2	1:45.5	0.79
India	1360.054	6979423	883185	107416	5988822	1.05	-0.89	0.73	1.12	66d 6h	95d 3h	513.2	64.9	7.9	440.3	1.8	1:55.9	0.86
South Africa	58.775	688352	50724	17547	620081	0.21	0.48	0.5	0.13	336d 0h	137d 17h	1171.2	86.3	29.9	1055.0	2.8	1:35.3	0.9
Argentina	44.939	871468	151102	23225	697141	1.76	1.13	1.56	1.47	39d 14h	44d 16h	1939.2	336.2	51.7	1551.3	3.3	1:30.0	0.8
Mexico	126.578	810020	39400	83497	687123	1.25	0.79	1.0	1.15	55d 23h	69d 13h	639.9	31.1	66.0	542.8	12.2	1:8.2	0.85
G20	4582.31	26716119	7548667	781015	18386437	0.91	0.6	0.47	0.79	76d 7h	149d 1h	583.0	164.7	17.0	401.2	4.2	1:23.5	0.69

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	90751	371	4739	85641	5.5	1:18.1	0.94	0.05	0.05	0.05	0.05	0.05	0.09	China
Italy	60.243	343770	70110	36111	237549	15.2	1:6.6	0.69	0.1	0.11	0.11	0.11	0.12	16.2	Italy
Germany	83.149	320495	37178	9599	273718	3.5	1:28.5	0.85	0.03	0.03	0.03	0.03	0.03	3.12	Germany
US	329.488	7663293	4410452	213752	3039089	7.0	1:14.2	0.4	0.03	0.03	0.03	0.03	0.03	17.53	US
France	67.069	732434	596601	32601	103232	31.6	1:3.2	0.14	0.04	0.05	0.05	0.05	0.06	13.14	France
Korea, South	51.781	24548	1494	430	22624	1.9	1:52.6	0.92	0.02	0.02	0.02	0.02	0.02	0.22	Korea, South
United Kingdom	66.436	578390	533133	42769	2488	1719.0	17.2:1	0.0	0.07	0.08	0.09	0.09	0.1	17.4	United Kingdom
Japan	126.01	88267	6504	1623	80140	2.0	1:49.3	0.91	0.02	0.02	0.02	0.02	0.02	0.35	Japan
Canada	37.965	180625	18941	9638	152046	6.3	1:15.8	0.84	0.05	0.06	0.06	0.06	0.06	6.86	Canada
Australia	25.653	27244	1360	897	24987	3.6	1:27.9	0.92	0.03	0.03	0.03	0.03	0.03	0.95	Australia
Brazil	211.284	5055888	403395	149639	4502854	3.3	1:30.1	0.89	0.03	0.03	0.03	0.03	0.03	19.14	Brazil
Turkey	83.155	332382	31906	8722	291754	3.0	1:33.4	0.88	0.03	0.03	0.03	0.03	0.03	2.83	Turkey
Indonesia	266.912	324658	65314	11677	247667	4.7	1:21.2	0.76	0.04	0.04	0.04	0.04	0.04	1.18	Indonesia
Saudi Arabia	34.218	338539	9261	4996	324282	1.5	1:64.9	0.96	0.01	0.01	0.01	0.01	0.02	3.95	Saudi Arabia
Russia	146.745	1265572	238236	22137	1005199	2.2	1:45.5	0.79	0.02	0.02	0.02	0.02	0.02	4.08	Russia
India	1360.054	6979423	883185	107416	5988822	1.8	1:55.9	0.86	0.02	0.02	0.02	0.02	0.02	2.13	India
South Africa	58.775	688352	50724	17547	620081	2.8	1:35.3	0.9	0.03	0.03	0.03	0.03	0.03	8.07	South Africa
Argentina	44.939	871468	151102	23225	697141	3.3	1:30.0	0.8	0.03	0.03	0.03	0.03	0.03	13.97	Argentina
Mexico	126.578	810020	39400	83497	687123	12.2	1:8.2	0.85	0.1	0.11	0.11	0.11	0.11	17.83	Mexico
G20	4582.31	26716119	7548667	781015	18386437	4.2	1:23.5	0.69	0.03	0.03	0.03	0.03	0.03	4.61	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