COVID-19 - Germany - 20-03-30

Data from JHU, ca. 9:00 CET
absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
5 days/average
Total infections 62435 75.088 4740 8.2% 13.6%
Active cases 52683 63.36 3902 8.0% 10.7%
Deaths 541 0.651 108 24.9% 22.8%
Recovered 921111.0787308.6%22.5%

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.
Last days rate Last average rate
Time to double cases 8d 19h 5d 10h
Time to reach a million cases 35d 4h21d 18h
Time to saturate the population91d 6h 56d 10h

Deaths per infected 0.9%
Recovered per infected14.8%
Active per infected 84.4%
Deaths per recovered 5.9%

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: 174Population 20
Total casesCases per 100.000Average grow rate (5 days)
Infected 6 14 81
Active 5 14 81
Deaths 10 19 30
Recovered 10 9 31
The ranking is made over all registered countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

Total Cases

Cases per 100.000

Percentage development

Absolute development (first) with second derivative