COVID-19 - Hungary - 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 408 4.175 65 19.0% 17.6%
Active cases 361 3.694 63 21.1% 14.6%
Deaths 13 0.133 2 18.2% 4.2%
Recovered 340.34800.0%10.9%

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 3d 23h 4d 6h
Time to reach a million cases 44d 20h48d 3h
Time to saturate the population57d 23h 62d 4h

Deaths per infected 3.2%
Recovered per infected8.3%
Active per infected 88.5%
Deaths per recovered 38.2%

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 89
Total casesCases per 100.000Average grow rate (5 days)
Infected 67 77 58
Active 66 75 57
Deaths 47 46 72
Recovered 47 50 56
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