COVID-19 - Philippines - 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 1418 1.308 343 31.9% 21.2%
Active cases 1305 1.204 333 34.3% 14.9%
Deaths 71 0.065 3 4.4% 14.6%
Recovered 420.039720.0%12.3%

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 2d 12h 3d 14h
Time to reach a million cases 23d 16h34d 2h
Time to saturate the population40d 14h 58d 11h

Deaths per infected 5.0%
Recovered per infected3.0%
Active per infected 92.0%
Deaths per recovered 169.0%

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 13
Total casesCases per 100.000Average grow rate (5 days)
Infected 35 99 36
Active 35 96 55
Deaths 21 54 55
Recovered 21 91 50
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