COVID-19 - Southern Asia - 22-05-25

Data from JHU, ca. 9:00 CET

Southern Asia is a Group with the following members:
Afghanistan - Bangladesh - Bhutan - India - Iran - Maldives - Nepal - Pakistan - Sri Lanka

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
7 days/average
Total infections 55921084 2919.5 3102 0.01% 0.0%
Active cases 38532 2.0 -370 -0.95% -2.78%
Deaths 761810 39.8 24 0.0% 0.01%
Recovered 551207422877.734480.01%0.01%
1st Vaccinations 1384163841.072.3%
Incidence 1.0
R7-Value 0.92
D7-Incidence 0.1
Deaths per infected 1.36%
Recovered per infected 98.57%
Deaths per recovered 1.38%
1st Vaccinations in Pop72.3%

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.
Ranking within 198 evaluated states:
Population na Incidence: 126
D7 Incidence:89 R7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 128 143
Active na 129 118
Deaths na 114 83
Recovered na 128 127
The ranking is made over all groups and countries, including small or recent that are ommitted in the table on the front page - which may lead to minor discrepancies between both!

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 over the last seven 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 weeks rate
Time to double active cases
Time to double total cases stable
Time to reach a million cases
Time to saturate the populationstable

Diagrams

Members of Group: Southern Asia

Afghanistan - Bangladesh - Bhutan - India - Iran - Maldives - Nepal - Pakistan - Sri Lanka

Data by Country


Click on the header to sort - Click on the name for the countries dashboard! - Only countries with more then 100 infections and more then 100.000 citizens are listed!
Click top row to sort:±±±±±±±±±±±±±±±±±±±±
CountryPopIncidenceR7D7IActiveDeathsInfectedActiveDeathsInfectedActiveDeathsInfectedActiveDeathsRecoveredVacc.Country
mioIndicesAbsolute valuesΔ 1dayΔ 7dayGrowthrate 7d%Cases per 100.000%
Iran83.2982.20.750.64210141293293-1605490.0-3.070.08680.75.1169.68506.08.5177.44Iran
Pakistan219.0170.20.70.01233303797676000.0-1.210.0698.60.613.9684.20.6861.6Pakistan
India1360.0541.10.940.2314075245252628-199182220.01-2.740.013172.32.338.63131.43.1374.25India
Sri Lanka21.8030.30.620.1172165137-10020.0-5.160.03044.50.875.72967.92.9778.28Sri Lanka
Afghanistan32.2261.11.030.2704769964-50180.033.240.01558.12.223.9532.00.5316.78Afghanistan
Bangladesh168.3040.11.050.04402913030-3030.02.970.01160.60.317.31143.01.1476.62Bangladesh
Maldives0.37527.21.320.017929800000.01-5.70.047935.447.879.547808.247.81100.0Maldives
Bhutan0.7425.41.180.074210-10000.01-12.450.08037.510.02.88024.78.0293.39Bhutan
Nepal29.610.21.260.0113119524-14000.0-3.310.03306.70.440.43265.93.2775.5Nepal
Southern Asia1915.431.00.920.1385327618103102-370242840.0-2.780.012919.52.039.82877.72.8872.26Southern Asia