
Brazil: COVID-19 Cases (Coronavirus Disease)
Contents: by States
The cumulative number of confirmed COVID-19 cases (i.e. cases of the coronavirus disease) caused by the SARS-CoV-2 virus in the Brazilian states.
Measure for growth: Number of new cases per day and 100,000 inhabitants.
Name | Status | ||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Acre | Federal State | 8746 | 15167 | 21033 | 25027 | 28222 | 30545 | 35188 | 40399 | 45429 | 53892 | 63721 | 74533 | 79718 | 83473 | 86120 | 87232 | 87831 | 87923 | 88047 | 88183 | 88345 | 91471 | 114823 | 123588 | 124240 | 124974 | → | |||
Alagoas | Federal State | 18176 | 42322 | 64194 | 79550 | 86879 | 90497 | 93915 | 102178 | 112476 | 126326 | 143338 | 163018 | 181659 | 200000 | 221435 | 230757 | 235900 | 238117 | 239927 | 241349 | 241915 | 247013 | 287747 | 295189 | 297108 | 298785 | → | |||
Amapá | Federal State | 14623 | 30524 | 37318 | 43800 | 48254 | 51523 | 57698 | 65938 | 74310 | 81211 | 89822 | 102260 | 108287 | 113468 | 118257 | 121490 | 122439 | 122814 | 123526 | 124392 | 126369 | 130947 | 159765 | 160248 | 160364 | 160417 | → | |||
Amazonas | Federal State | 52849 | 80082 | 104250 | 121793 | 139326 | 159583 | 175298 | 194406 | 238980 | 299495 | 334432 | 360735 | 376893 | 391063 | 405609 | 418096 | 424428 | 426435 | 427613 | 429335 | 432995 | 464913 | 566688 | 579677 | 581752 | 582690 | → | |||
Bahia | Federal State | 32685 | 95536 | 179737 | 262299 | 310526 | 349711 | 390909 | 476955 | 549315 | 639227 | 753584 | 848627 | 940584 | 1048084 | 1144464 | 1197413 | 1221597 | 1233244 | 1244123 | 1257144 | 1264804 | 1299156 | 1473788 | 1522095 | 1538042 | 1546757 | → | |||
Ceará | Federal State | 71402 | 128471 | 181443 | 218396 | 241159 | 272104 | 295073 | 326058 | 356985 | 408555 | 481071 | 597518 | 727045 | 828838 | 896564 | 920296 | 931803 | 929816 | 943135 | 949400 | 954225 | 982377 | 1212653 | 1235452 | 1242890 | 1245686 | → | |||
Distrito Federal | Federal District | 19433 | 64314 | 115966 | 164649 | 192245 | 211442 | 225873 | 246397 | 266506 | 286720 | 322686 | 362379 | 389178 | 413422 | 435405 | 452527 | 471656 | 494299 | 514293 | 517448 | 518728 | 553988 | 669062 | 689463 | 694975 | 702315 | → | |||
Espírito Santo | Federal State | 23344 | 58537 | 87242 | 112825 | 131490 | 153004 | 182743 | 234382 | 280067 | 312501 | 350856 | 409037 | 453285 | 494050 | 524302 | 544864 | 563741 | 585083 | 605155 | 617355 | 627711 | 690636 | 998482 | 1033566 | 1043197 | 1050597 | → | |||
Goiás | Federal State | 7159 | 32664 | 76605 | 138408 | 209411 | 252333 | 275794 | 303212 | 333134 | 375124 | 444028 | 515366 | 572040 | 629368 | 688451 | 750737 | 820469 | 861956 | 900153 | 929363 | 943102 | 982807 | 1126975 | 1237668 | 1312224 | 1354852 | → | |||
Maranhão | Federal State | 53508 | 92939 | 125459 | 154468 | 173564 | 185000 | 192129 | 199754 | 204300 | 214058 | 231075 | 252458 | 276062 | 297678 | 323043 | 338713 | 349537 | 355882 | 360586 | 364082 | 369807 | 375725 | 405026 | 420851 | 428857 | 436952 | → | |||
Mato Grosso | Federal State | 4602 | 23835 | 58506 | 94302 | 123416 | 141619 | 156128 | 174301 | 202559 | 235874 | 277537 | 334246 | 375979 | 419597 | 457691 | 491677 | 518132 | 533464 | 543038 | 548522 | 552552 | 585967 | 685324 | 719566 | 724653 | 731442 | → | |||
Mato Grosso do Sul | Federal State | 2597 | 11063 | 28315 | 50645 | 69706 | 81033 | 94652 | 125181 | 153057 | 172402 | 197541 | 232849 | 260048 | 307349 | 340175 | 357904 | 368886 | 372813 | 376217 | 378359 | 379502 | 395316 | 474331 | 517823 | 526426 | 532035 | → | |||
Minas Gerais | Federal State | 17501 | 64035 | 139661 | 222048 | 295169 | 353311 | 403542 | 510219 | 659385 | 816901 | 991732 | 1247258 | 1433481 | 1646104 | 1843565 | 1981007 | 2069230 | 2137964 | 2181136 | 2203716 | 2217808 | 2410724 | 3066431 | 3281457 | 3346792 | 3387704 | → | |||
Pará | Federal State | 62095 | 118744 | 160695 | 202436 | 230449 | 250336 | 267700 | 288465 | 312632 | 350338 | 387960 | 443191 | 488968 | 528206 | 558861 | 573746 | 584363 | 591021 | 597688 | 605797 | 621970 | 635898 | 694561 | 740222 | 759949 | 773130 | → | |||
Paraíba | Federal State | 24032 | 56344 | 87071 | 107384 | 121267 | 131979 | 143615 | 161539 | 179353 | 207411 | 241592 | 275301 | 305050 | 348353 | 403694 | 423584 | 433729 | 441458 | 445272 | 459489 | 462671 | 470906 | 555776 | 590042 | 599766 | 604210 | → | |||
Paraná | Federal State | 7831 | 35715 | 85317 | 135609 | 178898 | 210901 | 264838 | 387686 | 512337 | 601554 | 775070 | 893040 | 997645 | 1132325 | 1312040 | 1389689 | 1459199 | 1509702 | 1549717 | 1575332 | 1594180 | 1742893 | 2243373 | 2392386 | 2430225 | 2512982 | → | |||
Pernambuco | Federal State | 41935 | 67604 | 100321 | 128724 | 147171 | 161161 | 178086 | 211996 | 244814 | 284840 | 323176 | 375115 | 431613 | 509184 | 563264 | 593462 | 608586 | 620174 | 629789 | 638268 | 643441 | 659358 | 781202 | 874704 | 911329 | 932819 | → | |||
Piauí | Federal State | 8359 | 28411 | 55919 | 78922 | 96086 | 111543 | 124076 | 139168 | 152997 | 167102 | 187960 | 221617 | 253188 | 279952 | 299862 | 310549 | 316699 | 319282 | 324832 | 330358 | 334080 | 337286 | 360563 | 366970 | 367916 | 368069 | → | |||
Rio de Janeiro | Federal State | 74373 | 126329 | 172679 | 228332 | 264783 | 306672 | 343995 | 414344 | 490821 | 564513 | 612980 | 688797 | 797033 | 894459 | 972619 | 1041216 | 1130276 | 1283454 | 1317850 | 1339819 | 1349608 | 1528551 | 1946016 | 2050452 | 2117270 | 2171757 | → | |||
Rio Grande do Norte | Federal State | 11568 | 36511 | 53490 | 62432 | 69433 | 80671 | 88064 | 111970 | 132294 | 157422 | 182399 | 209415 | 238142 | 277143 | 347974 | 360217 | 365177 | 368500 | 372502 | 380211 | 385468 | 397355 | 465764 | 489517 | 501377 | 504587 | → | |||
Rio Grande do Sul | Federal State | 13619 | 35557 | 76563 | 131461 | 190572 | 240694 | 306335 | 416098 | 516288 | 590134 | 763794 | 904944 | 1018592 | 1131669 | 1239700 | 1373027 | 1409665 | 1435929 | 1461707 | 1487095 | 1500065 | 1633330 | 2064886 | 2230912 | 2302978 | 2395763 | → | |||
Rondônia | Federal State | 9850 | 25067 | 42020 | 56411 | 65911 | 71121 | 78470 | 91574 | 112468 | 139250 | 170515 | 200700 | 219688 | 235383 | 251127 | 258792 | 263450 | 265831 | 269596 | 275973 | 283212 | 294764 | 358013 | 385538 | 397425 | 403460 | → | |||
Roraima | Federal State | 6347 | 19284 | 34296 | 44036 | 50449 | 56469 | 62414 | 67909 | 71451 | 78068 | 86382 | 92512 | 98875 | 105445 | 114105 | 120410 | 123990 | 126199 | 127278 | 128217 | 128786 | 134053 | 150481 | 154702 | 155342 | 155655 | → | |||
Santa Catarina | Federal State | 12594 | 36810 | 95410 | 182522 | 215478 | 252551 | 337009 | 472199 | 549579 | 622727 | 746620 | 845367 | 918127 | 994125 | 1068822 | 1118520 | 1157666 | 1191300 | 1213774 | 1230043 | 1238829 | 1327487 | 1569584 | 1656068 | 1689097 | 1725174 | → | |||
São Paulo | Federal State | 156316 | 341365 | 585265 | 826331 | 985628 | 1103582 | 1224744 | 1409140 | 1658636 | 1938712 | 2243868 | 2686031 | 3038240 | 3382448 | 3824111 | 4084112 | 4269138 | 4364582 | 4402566 | 4433915 | 4450196 | 4523521 | 4898289 | 5159850 | 5326131 | 5468187 | → | |||
Sergipe | Federal State | 10615 | 32490 | 61986 | 72931 | 77440 | 84048 | 88100 | 105673 | 130286 | 146558 | 161841 | 186983 | 213763 | 247141 | 267107 | 275097 | 277470 | 278080 | 278473 | 278167 | 278446 | 281053 | 317404 | 323380 | 326834 | 327379 | → | |||
Tocantins | Federal State | 6257 | 13440 | 28312 | 52124 | 68003 | 74837 | 80218 | 88376 | 97790 | 107832 | 128258 | 150210 | 166214 | 184550 | 200670 | 211399 | 219158 | 224224 | 228175 | 231780 | 234113 | 247897 | 293112 | 301424 | 303775 | 305617 | → | |||
Brazil | Independent Country | 772416 | 1713160 | 2859073 | 3997865 | 4810935 | 5468270 | 6166606 | 7365517 | 8638249 | 9978747 | 11693838 | 13673507 | 15359397 | 17122877 | 18909037 | 20026533 | 20804215 | 21399546 | 21766168 | 22043112 | 22222928 | 23425392 | 27940119 | 29532810 | 30210934 | 30803995 |
Source: 2019 Novel Coronavirus COVID-19 Data Repository by Johns Hopkins CSSE.
Last Change: 2022-05-24 05:15 UTC
Explanation: Total figures may be slightly higher than the sum of cases in the states because of COVID-19 cases with unknown location.
Further information about the Cases:
Cases | ||
---|---|---|
until | Number | per 100,000 inhabitants |
2020-06-10 | 772,416 | 367.6 |
2020-07-08 | 1,713,160 | 815.2 |
2020-08-05 | 2,859,073 | 1,360.5 |
2020-09-02 | 3,997,865 | 1,902.4 |
2020-09-30 | 4,810,935 | 2,289.3 |
2020-10-28 | 5,468,270 | 2,602.1 |
2020-11-25 | 6,166,606 | 2,934.4 |
2020-12-23 | 7,365,517 | 3,504.9 |
2021-01-20 | 8,638,249 | 4,110.6 |
2021-02-17 | 9,978,747 | 4,748.5 |
2021-03-17 | 11,693,838 | 5,564.6 |
2021-04-14 | 13,673,507 | 6,506.6 |
2021-05-12 | 15,359,397 | 7,308.9 |
2021-06-09 | 17,122,877 | 8,148.0 |
2021-07-07 | 18,909,037 | 8,998.0 |
2021-08-04 | 20,026,533 | 9,529.8 |
2021-09-01 | 20,804,215 | 9,899.8 |
2021-09-29 | 21,399,546 | 10,183.1 |
2021-10-27 | 21,766,168 | 10,357.6 |
2021-11-24 | 22,043,112 | 10,489.4 |
2021-12-22 | 22,222,928 | 10,574.9 |
2022-01-19 | 23,425,392 | 11,147.1 |
2022-02-17 | 27,940,119 | 13,295.5 |
2022-03-17 | 29,532,810 | 14,053.4 |
2022-04-13 | 30,210,934 | 14,376.1 |
2022-05-23 | 30,803,995 | 14,658.3 |
New Cases per Day | ||
---|---|---|
Period | Number | per 100,000 inhabitants |
2020-06-10 ~ 07-08 | 33,598.0 | 16.0 |
2020-07-08 ~ 08-05 | 40,925.5 | 19.5 |
2020-08-05 ~ 09-02 | 40,671.1 | 19.4 |
2020-09-02 ~ 09-30 | 29,038.2 | 13.8 |
2020-09-30 ~ 10-28 | 23,476.3 | 11.2 |
2020-10-28 ~ 11-25 | 24,940.6 | 11.9 |
2020-11-25 ~ 12-23 | 42,818.3 | 20.4 |
2020-12-23 ~ 01-20 | 45,454.7 | 21.6 |
2021-01-20 ~ 02-17 | 47,874.9 | 22.8 |
2021-02-17 ~ 03-17 | 61,253.3 | 29.1 |
2021-03-17 ~ 04-14 | 70,702.5 | 33.6 |
2021-04-14 ~ 05-12 | 60,210.4 | 28.7 |
2021-05-12 ~ 06-09 | 62,981.4 | 30.0 |
2021-06-09 ~ 07-07 | 63,791.4 | 30.4 |
2021-07-07 ~ 08-04 | 39,910.6 | 19.0 |
2021-08-04 ~ 09-01 | 27,774.4 | 13.2 |
2021-09-01 ~ 09-29 | 21,261.8 | 10.1 |
2021-09-29 ~ 10-27 | 13,093.6 | 6.2 |
2021-10-27 ~ 11-24 | 9,890.9 | 4.7 |
2021-11-24 ~ 12-22 | 6,422.0 | 3.1 |
2021-12-22 ~ 01-19 | 42,945.1 | 20.4 |
2022-01-19 ~ 02-17 | 155,680.2 | 74.1 |
2022-02-17 ~ 03-17 | 56,881.8 | 27.1 |
2022-03-17 ~ 04-13 | 25,115.7 | 12.0 |
2022-04-13 ~ 05-23 | 14,826.5 | 7.1 |
Deaths | ||
---|---|---|
until | Number | per 1 million inhabitants |
2020-03-18 | 3 | 0.0 |
2020-04-15 | 1,736 | 8.3 |
2020-05-13 | 13,240 | 63.0 |
2020-06-10 | 39,680 | 188.8 |
2020-07-08 | 67,964 | 323.4 |
2020-08-05 | 97,256 | 462.8 |
2020-09-02 | 123,780 | 589.0 |
2020-09-30 | 143,952 | 685.0 |
2020-10-28 | 158,456 | 754.0 |
2020-11-25 | 170,769 | 812.6 |
2020-12-23 | 189,220 | 900.4 |
2021-01-20 | 212,831 | 1,012.8 |
2021-02-17 | 242,090 | 1,152.0 |
2021-03-17 | 284,775 | 1,355.1 |
2021-04-14 | 361,884 | 1,722.1 |
2021-05-12 | 428,034 | 2,036.8 |
2021-06-09 | 479,515 | 2,281.8 |
2021-07-07 | 528,540 | 2,515.1 |
2021-08-04 | 559,607 | 2,662.9 |
2021-09-01 | 581,150 | 2,765.4 |
2021-09-29 | 596,122 | 2,836.7 |
2021-10-27 | 606,679 | 2,886.9 |
2021-11-24 | 613,339 | 2,918.6 |
2021-12-22 | 618,091 | 2,941.2 |
2022-01-19 | 622,125 | 2,960.4 |
2022-02-17 | 642,156 | 3,055.7 |
2022-03-17 | 656,693 | 3,124.9 |
2022-04-13 | 661,904 | 3,149.7 |
2022-05-23 | 665,891 | 3,168.7 |