Peru vs Tanzania Coronavirus cases by Date

Tanzania is 1464 days behind Peru in terms of the number of coronavirus cases per 100,000 population: 75 vs 15054.

Covid-19 cases in Peru and Tanzania:

Peru doesn't provide data on recovered and active cases, so these numbers are calculated based on average recovery time and the country's death rate.

Cases Peru Tanzania
Confirmed
24h
per 100k
4,572,667
0
15054
43,223
0
75
Active
24h
per 100k
0
0
0
42,377
0
74
Recovered
24h
per 100k
4,350,506
0
14322
0
0
0
Deaths (rate)
24h
per 100k
222,161 (4.9%)
0
731
846 (2%)
0
1.5

Data accuracy depends on countries' development. Check our research about the correlation between reported confirmed coronavirus cases per capita and GDP per capita.

Coronavirus cases by date

Confirmed

Date Peru Tanzania
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
0
15054
43,223
0
75
4,572,667
+886
15054
43,223
0
75
4,571,781
+3,556
15051
43,223
0
75
4,568,225
0
15039
43,223
0
75
4,568,225
0
15039
43,223
0
75

Active

Date Peru Tanzania
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
0
0
42,377
0
74
0
-886
0
42,377
0
74
886
-3,556
2.9
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
0
15
42,377
0
74
4,442
+886
15
42,377
0
74
3,556
+3,556
12
42,377
0
74
0
-8,623
0
42,377
0
74
8,623
0
28
42,377
0
74

Recovered

Date Peru Tanzania
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
0
14322
0
0
0
4,350,506
+886
14322
0
0
0
4,349,620
+3,556
14319
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
0
14308
0
0
0
4,346,064
+8,623
14308
0
0
0
4,337,441
0
14279
0
0
0

Deaths

Date Peru Tanzania
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5
222,161
0
731
846
0
1.5

Compare with other countries

Country Confirmed cases
vs United States
111,820,082
vs India
45,035,393
vs France
40,138,560
vs Germany
38,828,995
vs Brazil
38,743,918
vs South Korea
34,571,873
vs Japan
33,803,572
vs Italy
26,723,249
vs United Kingdom
24,910,387
vs Russia
24,124,215
vs Turkey
17,232,066
vs Spain
13,914,811
vs Australia
11,853,144
vs Vietnam
11,625,195
vs Taiwan
10,241,523
vs Argentina
10,128,845
vs Netherlands
8,635,786
vs Mexico
7,702,809
vs Iran
7,627,186
vs Indonesia
6,829,221
vs Poland
6,661,991
vs Colombia
6,400,173
vs Greece
6,101,379
vs Austria
6,081,287
vs Portugal
5,643,062
vs Ukraine
5,557,995
vs Chile
5,384,853
vs Malaysia
5,278,406
vs Canada
4,946,090
vs Belgium
4,861,695
Country Confirmed cases
vs United States
111,820,082
vs India
45,035,393
vs France
40,138,560
vs Germany
38,828,995
vs Brazil
38,743,918
vs South Korea
34,571,873
vs Japan
33,803,572
vs Italy
26,723,249
vs United Kingdom
24,910,387
vs Russia
24,124,215
vs Turkey
17,232,066
vs Spain
13,914,811
vs Australia
11,853,144
vs Vietnam
11,625,195
vs Taiwan
10,241,523
vs Argentina
10,128,845
vs Netherlands
8,635,786
vs Mexico
7,702,809
vs Iran
7,627,186
vs Indonesia
6,829,221
vs Poland
6,661,991
vs Colombia
6,400,173
vs Greece
6,101,379
vs Austria
6,081,287
vs Portugal
5,643,062
vs Ukraine
5,557,995
vs Chile
5,384,853
vs Malaysia
5,278,406
vs Canada
4,946,090
vs Belgium
4,861,695