COVID-19 - Southern Asia - 21-10-25

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 44500451 2323.3 22284 0.05% 0.06%
Active cases 401831 21.0 -8271 -2.02% -1.27%
Deaths 669155 34.9 554 0.08% 0.09%
Recovered 434294652267.3300010.07%0.08%
1st Vaccinations 902163590.047.1%
Incidence 10.2
R7-Value 0.95
D7-Incidence 2.1
Deaths per infected 1.5%
Recovered per infected 97.59%
Deaths per recovered 1.54%
1st Vaccinations in Pop47.1%

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 197 evaluated states:
Population na Incidence: 116
D7 Incidence:106 R7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 114 121
Active na 117 109
Deaths na 106 96
Recovered na 112 121
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%
Iran83.29886.10.8913.31519661253637516-598814011070.18-0.540.137045.0182.4150.56712.16.7160.75Iran
Pakistan219.0171.90.690.41015828392572-1176920.05-3.440.05579.84.613.0562.20.5631.35Pakistan
India1360.0547.90.991.921628245506812428-188535626140.05-1.550.082514.815.933.52465.42.4752.77India
Sri Lanka21.80320.30.866.1958113640561-120291330.12-1.950.142461.343.962.62354.82.3568.69Sri Lanka
Afghanistan32.2260.81.120.4500726096645140.020.540.03484.21.622.5460.10.462.57Afghanistan
Bangladesh168.3041.30.750.3502327828289-3105500.02-4.750.03931.63.016.5912.10.9123.7Bangladesh
Maldives0.375229.51.465.3144924014975020.144.040.1223231.3386.664.022780.722.78100.0Maldives
Bhutan0.7420.00.00.04300000.0-7.940.0352.80.50.4351.90.3579.01Bhutan
Nepal29.6114.11.542.36868113616731013680.07-1.330.092734.723.238.42673.12.6728.92Nepal
Southern Asia1915.4310.20.952.140183166915522284-827155440800.06-1.270.092323.321.034.92267.32.2747.1Southern Asia