COVID-19 India-Timeline an understanding across States and Union Territories

For all the graphs on this page, if you click on the image then it will display an interactive graph, where as you hover your mouse pointer over the graph annotations with details will be displayed.


Karnataka Deceased Data

Wave 1 versus Wave 2

We have partitioned the pandemic timeline into three waves.

  • Wave 1 - till the end of October 2020
  • Middle wave - from November 2020 till the end of January 2021
  • Wave 2 - from February 2021 till present

Since,the counts during the Wave Middle were comparatively low,so,for some of the plots, we only considered Wave 1 and Wave 2 for our analysis.


Distribution of number of deceasaed



The graph on left represents monthwise death count. Although there has been slight increase in deaths in August 2020, there is a visible spike of death cases in May 2021.

The graph on the right is a plot of number of deceased in each district in wave 1 versus the number of deceased in wave 2. The point size indicates the sum of deaths during the two waves across districts. The line y=x has been plotted. This suggests that the districts above the line have wave 2 death count higher than wave 1 death count, while districts below the line have wave 1 death count higher than that of wave 2. The number of deceased in Bengaluru Urban during wave 1 is 3836, during middle wave is 488 and during wave 2 is 11235 as of 2nd July, 2021. Due to the large count, this district has not been plotted.


Age and Gender Distribution across waves


The first two(from the left) graphs present wave 1 and wave 2 deceased COVID-19 patients age distribution along with the census of population of Karnataka for reference. Though the trends in wave 1 and wave 2 are almost similar, from the graph it can be seen that the mean age of deceased in wave 1 is around 61 and wave 2 is around 60.


In the third(from the left) graph above we plot a stacked histogram of age distribution across waves. The deceased population between 0-40 has increased three fold during wave 2 and around two fold in the other age groups. In all the below stacked age-gender graphs, the yellow color indicates the males while the blue indicates the females.

In all waves the there are significantly more male deaths then female deaths.


    • This plot represents the confidence interval for the age of the deceased by each district. It has been ordered in descending order of mean age of the deceased in wave 1. The 95% t-interval around the mean age has been calculated and plotted. A wide variation about the districts can be observed.





Days to Decease and Report (Wave-1 vs Wave-2)

The graph below represents the distribution of days to decease(wave-wise) in Karnataka based on the data collected.

    • The graph below represents the confidence interval for days to decease(wave-wise) in Karnataka based on the data collected. The 95% t-interval around the mean is calculated and plotted below.

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    • The graph below represents the confidence interval for days to report(wave-wise) in Karnataka based on the data collected. The 95% t-interval around the mean is calculated and plotted below.