COVID-19 - Southern Africa - 22-05-23

Data from JHU, ca. 9:00 CET

Southern Africa is a Group with the following members:
Botswana - Eswatini - Lesotho - Namibia - South Africa

Go to the data tables

	absolute	cases per 100.000	abs. development 1 day	rel. development 1 day	rel. development 7 days/average
Total infections	4508608	6760.5	1817	0.04%	0.14%
Active cases	94139	141.2	-1592	-1.66%	-0.62%
Deaths	109779	164.6	20	0.02%	0.02%
Recovered	4304690	6454.8	3389	0.08%	0.16%
1st Vaccinations	24894933	37.3%

Incidence	63.8
R7-Value	0.82
D7-Incidence	2.8
Deaths per infected	2.43%
Recovered per infected	95.48%
Deaths per recovered	2.55%
1st Vaccinations in Pop	37.3%

Ranking within 198 evaluated states:
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.
Population	na	Incidence:	57
D7 Incidence:	51	R7 Value	na
	Total cases	Cases per 100.000	Average grow rate (7 days)
Infected	na	105	34
Active	na	58	103
Deaths	na	57	48
Recovered	na	105	27
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!

	Last weeks 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 over the last seven 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 active cases
Time to double total cases	>1yr
Time to reach a million cases
Time to saturate the population	stable

Diagrams

Members of Group: Southern Africa

Botswana - Eswatini - Lesotho - Namibia - South Africa

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	Incidence	R7	D7I	Active	Deaths	Infected	Active	Deaths		Infected	Active	Deaths	Infected	Active	Deaths	Recovered		Vacc.	Country
	mio	Indices			Absolute values		Δ 1day			Δ 7day	Growthrate 7d%			Cases per 100.000				%
South Africa	58.775	62.6	0.73	3.1	86909	100952	1662	-1575	19	181	0.13	-1.36	0.03	6689.1	147.9	171.8	6369.5	6.37	36.78	South Africa
Namibia	2.459	198.4	6.13	2.0	5675	4033	103	44	1	5	0.43	42.25	0.02	6708.4	230.8	164.0	6313.6	6.31	19.48	Namibia
Eswatini	1.093	39.1	0.76	0.9	987	1404	52	-61	0	1	0.08	-1.46	0.01	6604.6	90.3	128.4	6385.9	6.39	35.44	Eswatini
Botswana	2.25	12.9	2.34	0.9	414	2692	0	0	0	2	0.01	7.29	0.01	13627.3	18.4	119.6	13489.2	13.49	65.76	Botswana
Lesotho	2.11	7.3	0	0.5	154	698	0	0	0	1	0.07	127.99	0.02	1578.4	7.3	33.1	1538.1	1.54	44.26	Lesotho
Southern Africa	66.69	63.8	0.82	2.8	94139	109779	1817	-1592	20	190	0.14	-0.62	0.02	6760.5	141.2	164.6	6454.8	6.45	37.33	Southern Africa