COVID-19 - France - 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 40723 60.718 2618 6.9% 12.5%
Active cases 30887 46.053 822 2.7% 10.6%
Deaths 2610 3.892 294 12.7% 16.4%
Recovered 722610.774150226.2%12.2%

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 10d 9h 5d 21h
Time to reach a million cases 47d 23h27d 4h
Time to saturate the population111d 0h 62d 21h

Deaths per infected 6.4%
Recovered per infected17.7%
Active per infected 75.8%
Deaths per recovered 36.1%

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 22
Total casesCases per 100.000Average grow rate (5 days)
Infected 7 16 92
Active 6 19 83
Deaths 6 6 49
Recovered 6 10 52
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