COVID19 Reporting
Lithuania COVID19 Cases in Lithuania [Last data 2020-06-30]

78

People killed

1'816

Infected by Corona-Virus

4.3%

Mortality rate

Neutral: growth of the infection unknown

Outlook

Development
COVID19 Data for Lithuania
Population: 2789533
DateInfectedDeathsGrowth 1 day
% growth last day		Growth 5 days
Average % growth last 5 days		 Mortality rate
% deaths per infection		Infection rate
Infections per 100'000		Death Rate
Deaths per 100'000
28.02.2020100.00.00.0
11.03.2020300.00.10.0
14.03.2020800.00.30.0
15.03.202012050.00.00.40.0
16.03.202017041.741.50.00.60.0
17.03.202025047.10.00.90.0
18.03.20202708.00.01.00.0
19.03.202036033.335.10.01.30.0
20.03.202049036.132.50.01.80.0
21.03.202083169.437.31.23.00.0
22.03.2020129155.438.80.84.60.0
23.03.2020179138.846.00.66.40.0
24.03.2020209216.842.21.07.50.1
25.03.2020274431.141.11.59.80.1
26.03.202029949.129.21.310.70.1
27.03.2020358519.722.61.412.80.2
28.03.2020394710.117.11.814.10.3
29.03.2020460716.817.11.516.50.3
30.03.202049176.712.41.417.60.3
31.03.202053789.412.41.519.30.3
01.04.202058188.210.21.420.80.3
02.04.2020649911.710.51.423.30.3
03.04.202069697.28.61.325.00.3
04.04.20207711110.89.41.427.60.4
05.04.2020811135.28.61.629.10.5
06.04.2020843153.97.71.830.20.5
07.04.2020880154.46.31.731.50.5
08.04.2020912153.65.61.632.70.5
09.04.2020955164.74.41.734.20.6
10.04.2020999224.64.32.235.80.8
11.04.20201026232.74.02.236.80.8
12.04.20201053232.63.72.237.70.8
13.04.20201062240.93.12.338.10.9
14.04.20201070290.82.32.738.41.0
15.04.20201091302.01.82.739.11.1
16.04.20201128323.41.92.840.41.1
17.04.20201149331.91.82.941.21.2
18.04.20201239337.83.12.744.41.2
19.04.20201298354.83.92.746.51.3
20.04.20201326372.24.02.847.51.3
21.04.20201350381.83.72.848.41.4
22.04.20201370381.53.62.849.11.4
24.04.20201398401.52.950.11.4
25.04.20201410400.91.22.850.51.4
26.04.20201426411.11.12.951.11.5
29.04.2020134444-0.83.348.21.6
30.04.20201375452.3-0.53.349.31.6
01.05.20201385450.7-0.63.249.61.6
02.05.20201399451.03.250.21.6
03.05.20201406460.53.350.41.6
04.05.20201410460.31.03.350.51.6
05.05.20201419460.60.63.250.91.6
06.05.20201423460.30.53.251.01.6
07.05.20201428480.40.43.451.21.7
08.05.20201433490.40.43.451.41.8
09.05.20201436490.20.43.451.51.8
10.05.20201444490.60.33.451.81.8
11.05.20201479502.40.83.453.01.8
12.05.20201485500.40.83.453.21.8
13.05.20201491500.40.83.453.41.8
14.05.20201505540.90.93.654.01.9
15.05.20201511540.40.93.654.21.9
16.05.20201523540.80.63.554.61.9
17.05.20201534550.70.73.655.02.0
18.05.20201541560.50.73.655.22.0
19.05.20201547590.40.63.855.52.1
20.05.20201562601.00.73.856.02.2
21.05.20201577601.00.73.856.52.2
22.05.20201593611.00.83.857.12.2
23.05.20201604610.70.83.857.52.2
24.05.20201616630.70.93.957.92.3
25.05.20201623630.40.83.958.22.3
26.05.20201635630.70.73.958.62.3
27.05.20201639650.20.64.058.82.3
28.05.20201647660.50.54.059.02.4
29.05.20201656680.50.54.159.42.4
30.05.20201662680.40.54.159.62.4
31.05.20201670700.50.44.259.92.5
01.06.20201675700.30.44.260.02.5
02.06.20201678700.20.44.260.22.5
03.06.20201682710.20.34.260.32.5
04.06.20201684710.10.34.260.42.5
05.06.20201687710.20.24.260.52.5
06.06.20201694710.40.24.260.72.5
08.06.20201714710.44.161.42.5
09.06.20201720710.40.44.161.72.5
10.06.20201727720.40.54.261.92.6
11.06.20201733740.30.54.362.12.7
12.06.20201752741.14.262.82.7
13.06.20201756740.20.54.262.92.7
14.06.20201763750.40.54.363.22.7
15.06.20201768750.30.54.263.42.7
16.06.20201773760.30.54.363.62.7
17.06.20201776760.20.34.363.72.7
19.06.20201784760.24.364.02.7
20.06.20201792760.40.34.264.22.7
21.06.20201795760.20.24.264.32.7
23.06.20201801764.264.62.7
24.06.20201803770.10.24.364.62.8
26.06.20201806780.14.364.72.8
27.06.20201808780.14.364.82.8
28.06.20201813780.30.14.365.02.8
29.06.20201815780.10.14.365.12.8
30.06.20201816780.14.365.12.8

  • * Sick people: For the calculation of the number of sick people a recovery time of 18 days is assumed. I.e. #Sick_people = #Cases_of_infection - #deaths - #Cases_of_infections_18days_ago
  •  If you see any inconsistencies in the data or have any questions, please do not hesitate to contact me.