COVID-19 - WHO South-East Asia Region - 21-07-25

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 38584331 1731.2 116759 0.3% 0.3%
Active cases 1640731 73.6 13838 0.85% 0.66%
Deaths 571797 25.7 2489 0.44% 0.55%
Recovered 363718031631.91004320.28%0.28%
1st Vaccinations 42466492019.1%
Incidence 35.6
R7-Value 0.94
Deaths per infected 1.48%
Recovered per infected 94.27%
Deaths per recovered 1.57%
1st Vaccinations in Pop19.1%

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.
Total: 197Population na
Incidence: naR7 Value na
Total casesCases per 100.000Average grow rate (7 days)
Infected na 103 80
Active na 78 118
Deaths na 96 39
Recovered na 102 75
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 105d 10h
Time to double total cases 233d 11h
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:±±±±±±±±±±±±±±±±±±±±
CountryPopIncidenceR7InfectedActiveDeathsVacc.InfectedActiveDeathsInfectedActiveDeathsInfectedActiveDeathsRecoveredVacc.Country
mioIndicesAbsolute valuesΔ 1dayGrowthrate 7d%Cases per 100.000%
Pakistan219.0177.61.0110084463335423048930889037521944320.242.60.15460.415.210.5434.70.434.25Pakistan
Indonesia266.912108.30.833166505639302832794410792638679248212661.381.071.781186.3239.531.2915.60.9216.53Indonesia
Thailand66.484141.31.44973021609314059121094241533557961293.044.242.82748.0242.16.1499.80.518.21Thailand
India1360.05419.60.99314112625368864209673403876953936122074160.12-0.490.242309.639.531.02239.12.2425.03India
Sri Lanka21.80353.11.1129651621978409966930721666159450.571.881.171360.0100.818.81240.41.2430.7Sri Lanka
Bangladesh168.30436.00.73116463514344619274603343911291-5832280.77-1.441.07692.085.211.5595.30.63.58Bangladesh
Maldives0.375232.41.087675016792193209911234500.161.370.220477.6448.058.419971.219.9785.64Maldives
Bhutan0.7428.80.45248621124854974-500.38-2.870.0335.228.40.3306.50.3165.46Bhutan
Nepal29.6145.41.1568055625107971333772281539302180.291.60.242298.484.832.82180.82.1811.41Nepal
Burma68.6758.31.072695257731271111840758499815373552.322.715.16392.5112.610.4269.60.272.68Burma
Timor-Leste1.2617.50.721034852526011-4600.31-3.00.0821.341.72.1777.50.780.0Timor-Leste
WHO South-East Asia Region2228.7835.60.943858433116407315717974246649201167591383824890.30.660.551731.273.625.71631.91.6319.05WHO South-East Asia Region