COVID-19 - Denmark - 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 2564 44.034 198 8.4% 8.3%
Active cases 2419 41.544 175 7.8% 6.4%
Deaths 72 1.237 7 10.8% 15.7%
Recovered 731.2541628.1%10.0%

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 14h 8d 16h
Time to reach a million cases 73d 23h74d 19h
Time to saturate the population95d 19h 96d 22h

Deaths per infected 2.8%
Recovered per infected2.8%
Active per infected 94.3%
Deaths per recovered 98.6%

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 106
Total casesCases per 100.000Average grow rate (5 days)
Infected 25 22 135
Active 25 21 130
Deaths 20 12 50
Recovered 20 30 59
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