COVID-19 - Singapore - 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 844 14.798 42 5.2% 8.7%
Active cases 629 11.028 27 4.5% 8.7%
Deaths 3 0.053 1 50.0% 0.0%
Recovered 2123.717147.1%4.9%

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 13d 16h 8d 7h
Time to reach a million cases 139d 14h84d 20h
Time to saturate the population173d 22h 105d 17h

Deaths per infected 0.4%
Recovered per infected25.1%
Active per infected 74.5%
Deaths per recovered 1.4%

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 107
Total casesCases per 100.000Average grow rate (5 days)
Infected 48 42 130
Active 54 45 103
Deaths 80 60 89
Recovered 80 16 77
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