COVID-19 - WHO South-East Asia Region - 21-10-25

Data from JHU, ca. 9:00 CET

WHO South-East Asia Region is a Group with the following members:
Bangladesh - Bhutan - Burma - India - Indonesia - Korea, North - Maldives - Nepal - Pakistan - Sri Lanka - Thailand - Timor-Leste

Go to the data tables


absolutecases per 100.000 abs. development
1 day
rel. development
1 day
rel. development
7 days/average
Total infections 45090435 2023.1 24522 0.05% 0.06%
Active cases 414755 18.6 -4351 -1.04% -1.52%
Deaths 717247 32.2 505 0.07% 0.08%
Recovered 439584331972.3283680.06%0.08%
1st Vaccinations 1013123817.045.5%
Incidence 9.0
R7-Value 0.93
D7-Incidence 1.7
Deaths per infected 1.59%
Recovered per infected 97.49%
Deaths per recovered 1.63%
1st Vaccinations in Pop45.5%

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.
Ranking within 197 evaluated states:
Population na Incidence: 117
D7 Incidence:115 R7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 114 121
Active na 119 113
Deaths na 107 102
Recovered na 114 119
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: WHO South-East Asia Region

Bangladesh - Bhutan - Burma - India - Indonesia - Korea, North - Maldives - Nepal - Pakistan - Sri Lanka - Thailand - Timor-Leste

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%
Pakistan219.0171.90.690.41015828392572-1176920.05-3.440.05579.84.613.0562.20.5631.35Pakistan
Indonesia266.9121.90.750.911927143235460-160302360.02-3.380.021588.74.553.71530.61.5342.35Indonesia
Thailand66.48498.30.97.0138238187998675-1360444630.51-0.730.362796.4207.928.32560.22.5657.36Thailand
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
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
Burma68.678.90.682.51512618560711-486221720.18-3.270.13720.822.027.0671.70.6716.34Burma
Timor-Leste1.263.90.981.69912142020.04-3.870.241569.47.99.61551.91.550.0Timor-Leste
WHO South-East Asia Region2228.789.00.931.741475571724724522-435150538320.06-1.520.082023.118.632.21972.31.9745.46WHO South-East Asia Region