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

37

People killed

1'087

Infected by Corona-Virus

3.4%

Mortality rate

Neutral: growth of the infection unknown

Outlook

Development
COVID19 Data for Congo
Population: 5244363
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
15.03.2020100.00.00.0
16.03.2020200.00.00.0
19.03.2020300.00.10.0
22.03.2020300.00.10.0
23.03.20204033.30.00.10.0
24.03.2020400.05.90.00.10.0
25.03.2020400.00.00.10.0
26.03.2020400.00.00.10.0
27.03.2020400.05.90.00.10.0
28.03.2020400.00.00.00.10.0
29.03.202019036.60.00.40.0
30.03.20201900.036.60.00.40.0
31.03.20201900.036.60.00.40.0
01.04.20201900.036.60.00.40.0
02.04.202022215.840.69.10.40.0
03.04.20202220.03.09.10.40.0
04.04.20202220.03.09.10.40.0
05.04.202045518.811.10.90.1
06.04.20204550.018.811.10.90.1
07.04.20204550.015.411.10.90.1
08.04.20204550.015.411.10.90.1
09.04.202060533.322.28.31.10.1
10.04.20206050.05.98.31.10.1
11.04.20206050.05.98.31.10.1
12.04.20206050.05.98.31.10.1
13.04.20206050.05.98.31.10.1
14.04.20206050.00.08.31.10.1
15.04.2020117595.014.34.32.20.1
16.04.202011750.014.34.32.20.1
17.04.2020143622.219.04.22.70.1
18.04.202014360.019.04.22.70.1
19.04.202014360.019.04.22.70.1
20.04.2020160611.96.53.83.10.1
21.04.202016563.17.13.63.10.1
22.04.2020186612.75.43.23.50.1
24.04.202018665.43.23.50.1
25.04.202020067.54.63.03.80.1
26.04.202020060.03.93.03.80.1
29.04.202020782.23.93.90.2
30.04.202020780.00.73.93.90.2
01.05.202022096.31.94.14.20.2
02.05.202022994.13.94.40.2
03.05.202022990.03.94.40.2
04.05.202022990.02.03.94.40.2
05.05.2020236103.12.74.24.50.2
06.05.2020236100.01.44.24.50.2
07.05.20202641011.92.93.85.00.2
08.05.2020264100.02.93.85.00.2
09.05.2020274103.83.73.65.20.2
10.05.2020274100.03.03.65.20.2
11.05.2020274100.03.03.65.20.2
12.05.20203331121.54.83.36.30.2
13.05.2020333110.04.83.36.30.2
14.05.2020333110.04.03.36.30.2
15.05.20203911517.47.43.87.50.3
16.05.2020391150.07.43.87.50.3
17.05.2020391150.03.33.87.50.3
18.05.2020391150.03.33.87.50.3
19.05.2020412155.44.33.67.90.3
20.05.2020420151.91.43.68.00.3
21.05.2020420150.01.43.68.00.3
22.05.20204691611.73.73.48.90.3
23.05.2020469160.03.73.48.90.3
24.05.2020487163.83.43.39.30.3
25.05.2020487160.03.03.39.30.3
26.05.2020487160.03.03.39.30.3
27.05.2020487160.00.83.39.30.3
28.05.20205711917.24.03.310.90.4
29.05.2020571190.03.23.310.90.4
30.05.2020571190.03.23.310.90.4
31.05.2020571190.03.23.310.90.4
01.06.2020611207.04.63.311.70.4
02.06.2020611200.01.43.311.70.4
03.06.2020611200.01.43.311.70.4
04.06.2020611200.01.43.311.70.4
05.06.2020611200.01.43.311.70.4
06.06.2020635203.90.83.112.10.4
08.06.2020683222.33.213.00.4
09.06.2020683220.02.33.213.00.4
10.06.2020728246.63.63.313.90.5
11.06.2020728240.02.83.313.90.5
12.06.2020728240.03.313.90.5
13.06.2020728240.01.33.313.90.5
14.06.2020728240.01.33.313.90.5
15.06.2020728240.00.03.313.90.5
16.06.20208832721.33.93.116.80.5
17.06.2020883270.03.93.116.80.5
19.06.2020883273.93.116.80.5
20.06.2020883270.03.93.116.80.5
21.06.2020883270.00.03.116.80.5
23.06.20201087373.420.70.7
24.06.20201087370.04.23.420.70.7
26.06.20201087374.23.420.70.7
27.06.20201087370.03.420.70.7
28.06.20201087370.00.03.420.70.7
29.06.20201087370.00.03.420.70.7
30.06.20201087370.03.420.70.7



  • 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.