COVID-19 - Korea, South - 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 9661 18.658 78 0.8% 1.1%
Active cases 4275 8.256 -123 -2.8% -3.6%
Deaths 158 0.305 6 3.9% 3.9%
Recovered 522810.0961953.9%6.2%

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 86d 23h 63d 8h
Time to reach a million cases >1yr>1yr
Time to saturate the populationstable stable

Deaths per infected 1.6%
Recovered per infected54.1%
Active per infected 44.3%
Deaths per recovered 3.0%

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 28
Total casesCases per 100.000Average grow rate (5 days)
Infected 13 35 164
Active 16 55 171
Deaths 13 28 73
Recovered 13 11 73
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