COVID-19 - Peru - 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 852 2.652 181 27.0% 15.7%
Active cases 818 2.546 179 28.0% 9.6%
Deaths 18 0.056 2 12.5% 19.3%
Recovered 160.0500.0%262.9%

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 2d 21h 4d 18h
Time to reach a million cases 29d 13h48d 11h
Time to saturate the population44d 2h 72d 6h

Deaths per infected 2.1%
Recovered per infected1.9%
Active per infected 96.0%
Deaths per recovered 112.5%

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 46
Total casesCases per 100.000Average grow rate (5 days)
Infected 47 84 67
Active 46 81 96
Deaths 42 59 40
Recovered 42 87 2
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