Bangladesh vs the Philippines Coronavirus cases by Date

Bangladesh is 1285 days behind the Philippines in terms of the number of coronavirus cases per 100,000 population: 1309 vs 4100.

Covid-19 cases in Bangladesh and the Philippines:

Cases Bangladesh Philippines
Confirmed
24h
per 100k 		2,049,377
0
1309 		4,140,383
0
4100
Active
24h
per 100k 		2,019,884
0
1290 		6,138
0
6.1
Recovered
24h
per 100k 		0
0
0 		4,067,381
0
4028
Deaths (rate)
24h
per 100k 		29,493 (1.4%)
0
19 		66,864 (1.6%)
0
66

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 Bangladesh Philippines
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100
2,049,377
0
1309 		4,140,383
0
4100

Active

Date Bangladesh Philippines
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1
2,019,884
0
1290 		6,138
0
6.1

Recovered

Date Bangladesh Philippines
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028
0
0
0 		4,067,381
0
4028

Deaths

Date Bangladesh Philippines
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66
29,493
0
19 		66,864
0
66

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