Bangladesh vs the Congo Coronavirus cases by Date

The Congo is 1093 days behind Bangladesh in terms of the number of coronavirus cases per 100,000 population: 482 vs 1309.

Covid-19 cases in Bangladesh and the Congo: April 25, 2024

Cases	Bangladesh	Congo
Confirmed 24h per 100k	2,049,377 0 1309	25,375 0 482
Active 24h per 100k	2,019,884 0 1290	983 0 19
Recovered 24h per 100k	0 0 0	24,006 0 456
Deaths (rate) 24h per 100k	29,493 (1.4%) 0 19	386 (1.5%) 0 7.3

Move the date picker on the timeline below:
April 25, 2024

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

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Date	Bangladesh	Congo
April 24	2,049,377 0 1309	25,375 0 482
April 23	2,049,377 0 1309	25,375 0 482
April 22	2,049,377 0 1309	25,375 0 482
April 21	2,049,377 0 1309	25,375 0 482
April 20	2,049,377 0 1309	25,375 0 482
April 19	2,049,377 0 1309	25,375 0 482
April 18	2,049,377 0 1309	25,375 0 482
April 17	2,049,377 0 1309	25,375 0 482
April 16	2,049,377 0 1309	25,375 0 482
April 15	2,049,377 0 1309	25,375 0 482
April 14	2,049,377 0 1309	25,375 0 482
April 13	2,049,377 0 1309	25,375 0 482
April 12	2,049,377 0 1309	25,375 0 482
April 11	2,049,377 0 1309	25,375 0 482
April 10	2,049,377 0 1309	25,375 0 482
April 09	2,049,377 0 1309	25,375 0 482
April 08	2,049,377 0 1309	25,375 0 482
April 07	2,049,377 +463 1309	25,375 0 482
April 06	2,048,914 0 1308	25,375 0 482
April 05	2,048,914 0 1308	25,375 0 482
April 04	2,048,914 0 1308	25,375 0 482
April 03	2,048,914 0 1308	25,375 0 482
April 02	2,048,914 0 1308	25,375 0 482
April 01	2,048,914 0 1308	25,375 0 482
March 31	2,048,914 0 1308	25,375 0 482
March 30	2,048,914 0 1308	25,375 0 482
March 29	2,048,914 0 1308	25,375 0 482
March 28	2,048,914 0 1308	25,375 0 482
March 27	2,048,914 +326 1308	25,375 0 482
March 26	2,048,588 0 1308	25,375 0 482
March 25	2,048,588 +402 1308	25,375 0 482
March 24	2,048,186 0 1308	25,375 0 482
March 23	2,048,186 0 1308	25,375 0 482
March 22	2,048,186 0 1308	25,375 0 482
March 21	2,048,186 0 1308	25,375 0 482
March 20	2,048,186 0 1308	25,375 0 482
March 19	2,048,186 0 1308	25,375 0 482
March 18	2,048,186 0 1308	25,375 0 482
March 17	2,048,186 0 1308	25,375 0 482
March 16	2,048,186 0 1308	25,375 0 482
March 15	2,048,186 0 1308	25,375 0 482
March 14	2,048,186 0 1308	25,375 0 482
March 13	2,048,186 0 1308	25,375 0 482
March 12	2,048,186 0 1308	25,375 0 482
March 11	2,048,186 0 1308	25,375 0 482
March 10	2,048,186 0 1308	25,375 0 482
March 09	2,048,186 0 1308	25,375 0 482
March 08	2,048,186 0 1308	25,375 0 482
March 07	2,048,186 0 1308	25,375 0 482
March 06	2,048,186 0 1308	25,375 0 482
March 05	2,048,186 0 1308	25,375 0 482
March 04	2,048,186 0 1308	25,375 0 482
March 03	2,048,186 0 1308	25,375 0 482
March 02	2,048,186 0 1308	25,375 0 482
March 01	2,048,186 0 1308	25,375 0 482
February 29	2,048,186 0 1308	25,375 0 482
February 28	2,048,186 0 1308	25,375 0 482
February 27	2,048,186 0 1308	25,375 0 482
February 26	2,048,186 0 1308	25,375 0 482
February 25	2,048,186 0 1308	25,375 0 482
February 24	2,048,186 0 1308	25,375 0 482
February 23	2,048,186 +70 1308	25,375 0 482
February 22	2,048,116 0 1308	25,375 0 482
February 21	2,048,116 0 1308	25,375 0 482
February 20	2,048,116 0 1308	25,375 0 482
February 19	2,048,116 0 1308	25,375 0 482
February 18	2,048,116 0 1308	25,375 0 482
February 17	2,048,116 0 1308	25,375 0 482
February 16	2,048,116 0 1308	25,375 0 482
February 15	2,048,116 0 1308	25,375 0 482
February 14	2,048,116 0 1308	25,375 0 482
February 13	2,048,116 0 1308	25,375 0 482
February 12	2,048,116 +564 1308	25,375 0 482
February 11	2,047,552 +179 1308	25,375 0 482
February 10	2,047,373 0 1307	25,375 0 482
February 09	2,047,373 0 1307	25,375 0 482
February 08	2,047,373 0 1307	25,375 0 482
February 07	2,047,373 +25 1307	25,375 0 482
February 06	2,047,348 0 1307	25,375 0 482
February 05	2,047,348 +51 1307	25,375 0 482
February 04	2,047,297 +39 1307	25,375 0 482
February 03	2,047,258 +59 1307	25,375 0 482
February 02	2,047,199 0 1307	25,375 0 482
February 01	2,047,199 +49 1307	25,375 0 482
January 31	2,047,150 +99 1307	25,375 0 482
January 30	2,047,051 +53 1307	25,375 0 482
January 29	2,046,998 +35 1307	25,375 0 482
January 28	2,046,963 0 1307	25,375 0 482
January 27	2,046,963 +28 1307	25,375 0 482
January 26	2,046,935 +112 1307	25,375 0 482

Active

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Date	Bangladesh	Congo
April 24	2,019,884 0 1290	983 0 19
April 23	2,019,884 0 1290	983 0 19
April 22	2,019,884 0 1290	983 0 19
April 21	2,019,884 0 1290	983 0 19
April 20	2,019,884 0 1290	983 0 19
April 19	2,019,884 0 1290	983 0 19
April 18	2,019,884 0 1290	983 0 19
April 17	2,019,884 0 1290	983 0 19
April 16	2,019,884 0 1290	983 0 19
April 15	2,019,884 0 1290	983 0 19
April 14	2,019,884 0 1290	983 0 19
April 13	2,019,884 0 1290	983 0 19
April 12	2,019,884 0 1290	983 0 19
April 11	2,019,884 0 1290	983 0 19
April 10	2,019,884 0 1290	983 0 19
April 09	2,019,884 0 1290	983 0 19
April 08	2,019,884 0 1290	983 0 19
April 07	2,019,884 +462 1290	983 0 19
April 06	2,019,422 0 1290	983 0 19
April 05	2,019,422 0 1290	983 0 19
April 04	2,019,422 0 1290	983 0 19
April 03	2,019,422 0 1290	983 0 19
April 02	2,019,422 0 1290	983 0 19
April 01	2,019,422 0 1290	983 0 19
March 31	2,019,422 0 1290	983 0 19
March 30	2,019,422 0 1290	983 0 19
March 29	2,019,422 0 1290	983 0 19
March 28	2,019,422 0 1290	983 0 19
March 27	2,019,422 +325 1290	983 0 19
March 26	2,019,097 0 1289	983 0 19
March 25	2,019,097 +399 1289	983 0 19
March 24	2,018,698 0 1289	983 0 19
March 23	2,018,698 0 1289	983 0 19
March 22	2,018,698 0 1289	983 0 19
March 21	2,018,698 0 1289	983 0 19
March 20	2,018,698 0 1289	983 0 19
March 19	2,018,698 0 1289	983 0 19
March 18	2,018,698 0 1289	983 0 19
March 17	2,018,698 0 1289	983 0 19
March 16	2,018,698 0 1289	983 0 19
March 15	2,018,698 0 1289	983 0 19
March 14	2,018,698 0 1289	983 0 19
March 13	2,018,698 0 1289	983 0 19
March 12	2,018,698 0 1289	983 0 19
March 11	2,018,698 0 1289	983 0 19
March 10	2,018,698 0 1289	983 0 19
March 09	2,018,698 0 1289	983 0 19
March 08	2,018,698 0 1289	983 0 19
March 07	2,018,698 0 1289	983 0 19
March 06	2,018,698 0 1289	983 0 19
March 05	2,018,698 0 1289	983 0 19
March 04	2,018,698 0 1289	983 0 19
March 03	2,018,698 0 1289	983 0 19
March 02	2,018,698 0 1289	983 0 19
March 01	2,018,698 0 1289	983 0 19
February 29	2,018,698 0 1289	983 0 19
February 28	2,018,698 0 1289	983 0 19
February 27	2,018,698 0 1289	983 0 19
February 26	2,018,698 0 1289	983 0 19
February 25	2,018,698 0 1289	983 0 19
February 24	2,018,698 0 1289	983 0 19
February 23	2,018,698 +69 1289	983 0 19
February 22	2,018,629 0 1289	983 0 19
February 21	2,018,629 0 1289	983 0 19
February 20	2,018,629 0 1289	983 0 19
February 19	2,018,629 0 1289	983 0 19
February 18	2,018,629 0 1289	983 0 19
February 17	2,018,629 0 1289	983 0 19
February 16	2,018,629 0 1289	983 0 19
February 15	2,018,629 0 1289	983 0 19
February 14	2,018,629 0 1289	983 0 19
February 13	2,018,629 0 1289	983 0 19
February 12	2,018,629 +560 1289	983 0 19
February 11	2,018,069 +178 1289	983 0 19
February 10	2,017,891 0 1289	983 0 19
February 09	2,017,891 0 1289	983 0 19
February 08	2,017,891 0 1289	983 0 19
February 07	2,017,891 +25 1289	983 0 19
February 06	2,017,866 0 1289	983 0 19
February 05	2,017,866 +51 1289	983 0 19
February 04	2,017,815 +39 1289	983 0 19
February 03	2,017,776 +59 1289	983 0 19
February 02	2,017,717 0 1288	983 0 19
February 01	2,017,717 +49 1288	983 0 19
January 31	2,017,668 +98 1288	983 0 19
January 30	2,017,570 +53 1288	983 0 19
January 29	2,017,517 +35 1288	983 0 19
January 28	2,017,482 0 1288	983 0 19
January 27	2,017,482 +28 1288	983 0 19
January 26	2,017,454 +112 1288	983 0 19

Recovered

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Date	Bangladesh	Congo
April 24	0 0 0	24,006 0 456
April 23	0 0 0	24,006 0 456
April 22	0 0 0	24,006 0 456
April 21	0 0 0	24,006 0 456
April 20	0 0 0	24,006 0 456
April 19	0 0 0	24,006 0 456
April 18	0 0 0	24,006 0 456
April 17	0 0 0	24,006 0 456
April 16	0 0 0	24,006 0 456
April 15	0 0 0	24,006 0 456
April 14	0 0 0	24,006 0 456
April 13	0 0 0	24,006 0 456
April 12	0 0 0	24,006 0 456
April 11	0 0 0	24,006 0 456
April 10	0 0 0	24,006 0 456
April 09	0 0 0	24,006 0 456
April 08	0 0 0	24,006 0 456
April 07	0 0 0	24,006 0 456
April 06	0 0 0	24,006 0 456
April 05	0 0 0	24,006 0 456
April 04	0 0 0	24,006 0 456
April 03	0 0 0	24,006 0 456
April 02	0 0 0	24,006 0 456
April 01	0 0 0	24,006 0 456
March 31	0 0 0	24,006 0 456
March 30	0 0 0	24,006 0 456
March 29	0 0 0	24,006 0 456
March 28	0 0 0	24,006 0 456
March 27	0 0 0	24,006 0 456
March 26	0 0 0	24,006 0 456
March 25	0 0 0	24,006 0 456
March 24	0 0 0	24,006 0 456
March 23	0 0 0	24,006 0 456
March 22	0 0 0	24,006 0 456
March 21	0 0 0	24,006 0 456
March 20	0 0 0	24,006 0 456
March 19	0 0 0	24,006 0 456
March 18	0 0 0	24,006 0 456
March 17	0 0 0	24,006 0 456
March 16	0 0 0	24,006 0 456
March 15	0 0 0	24,006 0 456
March 14	0 0 0	24,006 0 456
March 13	0 0 0	24,006 0 456
March 12	0 0 0	24,006 0 456
March 11	0 0 0	24,006 0 456
March 10	0 0 0	24,006 0 456
March 09	0 0 0	24,006 0 456
March 08	0 0 0	24,006 0 456
March 07	0 0 0	24,006 0 456
March 06	0 0 0	24,006 0 456
March 05	0 0 0	24,006 0 456
March 04	0 0 0	24,006 0 456
March 03	0 0 0	24,006 0 456
March 02	0 0 0	24,006 0 456
March 01	0 0 0	24,006 0 456
February 29	0 0 0	24,006 0 456
February 28	0 0 0	24,006 0 456
February 27	0 0 0	24,006 0 456
February 26	0 0 0	24,006 0 456
February 25	0 0 0	24,006 0 456
February 24	0 0 0	24,006 0 456
February 23	0 0 0	24,006 0 456
February 22	0 0 0	24,006 0 456
February 21	0 0 0	24,006 0 456
February 20	0 0 0	24,006 0 456
February 19	0 0 0	24,006 0 456
February 18	0 0 0	24,006 0 456
February 17	0 0 0	24,006 0 456
February 16	0 0 0	24,006 0 456
February 15	0 0 0	24,006 0 456
February 14	0 0 0	24,006 0 456
February 13	0 0 0	24,006 0 456
February 12	0 0 0	24,006 0 456
February 11	0 0 0	24,006 0 456
February 10	0 0 0	24,006 0 456
February 09	0 0 0	24,006 0 456
February 08	0 0 0	24,006 0 456
February 07	0 0 0	24,006 0 456
February 06	0 0 0	24,006 0 456
February 05	0 0 0	24,006 0 456
February 04	0 0 0	24,006 0 456
February 03	0 0 0	24,006 0 456
February 02	0 0 0	24,006 0 456
February 01	0 0 0	24,006 0 456
January 31	0 0 0	24,006 0 456
January 30	0 0 0	24,006 0 456
January 29	0 0 0	24,006 0 456
January 28	0 0 0	24,006 0 456
January 27	0 0 0	24,006 0 456
January 26	0 0 0	24,006 0 456

Deaths

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Date	Bangladesh	Congo
April 24	29,493 0 19	386 0 7.3
April 23	29,493 0 19	386 0 7.3
April 22	29,493 0 19	386 0 7.3
April 21	29,493 0 19	386 0 7.3
April 20	29,493 0 19	386 0 7.3
April 19	29,493 0 19	386 0 7.3
April 18	29,493 0 19	386 0 7.3
April 17	29,493 0 19	386 0 7.3
April 16	29,493 0 19	386 0 7.3
April 15	29,493 0 19	386 0 7.3
April 14	29,493 0 19	386 0 7.3
April 13	29,493 0 19	386 0 7.3
April 12	29,493 0 19	386 0 7.3
April 11	29,493 0 19	386 0 7.3
April 10	29,493 0 19	386 0 7.3
April 09	29,493 0 19	386 0 7.3
April 08	29,493 0 19	386 0 7.3
April 07	29,493 +1 19	386 0 7.3
April 06	29,492 0 19	386 0 7.3
April 05	29,492 0 19	386 0 7.3
April 04	29,492 0 19	386 0 7.3
April 03	29,492 0 19	386 0 7.3
April 02	29,492 0 19	386 0 7.3
April 01	29,492 0 19	386 0 7.3
March 31	29,492 0 19	386 0 7.3
March 30	29,492 0 19	386 0 7.3
March 29	29,492 0 19	386 0 7.3
March 28	29,492 0 19	386 0 7.3
March 27	29,492 +1 19	386 0 7.3
March 26	29,491 0 19	386 0 7.3
March 25	29,491 +3 19	386 0 7.3
March 24	29,488 0 19	386 0 7.3
March 23	29,488 0 19	386 0 7.3
March 22	29,488 0 19	386 0 7.3
March 21	29,488 0 19	386 0 7.3
March 20	29,488 0 19	386 0 7.3
March 19	29,488 0 19	386 0 7.3
March 18	29,488 0 19	386 0 7.3
March 17	29,488 0 19	386 0 7.3
March 16	29,488 0 19	386 0 7.3
March 15	29,488 0 19	386 0 7.3
March 14	29,488 0 19	386 0 7.3
March 13	29,488 0 19	386 0 7.3
March 12	29,488 0 19	386 0 7.3
March 11	29,488 0 19	386 0 7.3
March 10	29,488 0 19	386 0 7.3
March 09	29,488 0 19	386 0 7.3
March 08	29,488 0 19	386 0 7.3
March 07	29,488 0 19	386 0 7.3
March 06	29,488 0 19	386 0 7.3
March 05	29,488 0 19	386 0 7.3
March 04	29,488 0 19	386 0 7.3
March 03	29,488 0 19	386 0 7.3
March 02	29,488 0 19	386 0 7.3
March 01	29,488 0 19	386 0 7.3
February 29	29,488 0 19	386 0 7.3
February 28	29,488 0 19	386 0 7.3
February 27	29,488 0 19	386 0 7.3
February 26	29,488 0 19	386 0 7.3
February 25	29,488 0 19	386 0 7.3
February 24	29,488 0 19	386 0 7.3
February 23	29,488 +1 19	386 0 7.3
February 22	29,487 0 19	386 0 7.3
February 21	29,487 0 19	386 0 7.3
February 20	29,487 0 19	386 0 7.3
February 19	29,487 0 19	386 0 7.3
February 18	29,487 0 19	386 0 7.3
February 17	29,487 0 19	386 0 7.3
February 16	29,487 0 19	386 0 7.3
February 15	29,487 0 19	386 0 7.3
February 14	29,487 0 19	386 0 7.3
February 13	29,487 0 19	386 0 7.3
February 12	29,487 +4 19	386 0 7.3
February 11	29,483 +1 19	386 0 7.3
February 10	29,482 0 19	386 0 7.3
February 09	29,482 0 19	386 0 7.3
February 08	29,482 0 19	386 0 7.3
February 07	29,482 0 19	386 0 7.3
February 06	29,482 0 19	386 0 7.3
February 05	29,482 0 19	386 0 7.3
February 04	29,482 0 19	386 0 7.3
February 03	29,482 0 19	386 0 7.3
February 02	29,482 0 19	386 0 7.3
February 01	29,482 0 19	386 0 7.3
January 31	29,482 +1 19	386 0 7.3
January 30	29,481 0 19	386 0 7.3
January 29	29,481 0 19	386 0 7.3
January 28	29,481 0 19	386 0 7.3
January 27	29,481 0 19	386 0 7.3
January 26	29,481 0 19	386 0 7.3

Compare with other countries

• Bangladesh vs
• Congo vs

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