Table 1-2. – Number of incident cases, age-standardized incidence rates of cardiovascular diseases (per 100 000 inhabitants), and percent change of rates in Brazil and its Federative Units, in 1990 and 2019.
Cause of death and Location | 1990 | 2019 | Percent Change (95% UI) | ||
---|---|---|---|---|---|
Number (95% UI) | Rate (95% UI) | Number (95% UI) | Rate (95% UI) | ||
B.2-Cardiovascular diseases | |||||
Brazil | 593711.1 (555922.5;636828.7) | 593.7 (558.1;636.4) | 1095891 (1030085.3;1166807.2) | 474.9 (447.1;506.5) | -20(-21.7;-18.4) |
Acre | 1206.9 (1109.3;1324) | 549.1 (513.6;588) | 3266 (3049.1;3501.1) | 471.7 (441.9;504.1) | -14.1(-16.4;-11.8) |
Alagoas | 9183 (8506.9;9969.2) | 581.1 (541.6;625.5) | 15952 (14961.2;17073.7) | 484.3 (454.2;517.6) | -16.7(-19;-14.3) |
Amapá | 716.8 (656.5;788.6) | 520.5 (486.1;559) | 2653.7 (2476.6;2862.4) | 440.7 (411.6;473.2) | -15.3(-17.5;-13.2) |
Amazonas | 5629.9 (5174.7;6164.5) | 531.1 (496.3;569.2) | 14473.2 (13534.3;15528.2) | 451.3 (422.1;482.1) | -15(-17.2;-12.7) |
Bahia | 44112.1 (41105.1;47717.9) | 562.8 (525.9;603.5) | 75928.2 (71378.4;80995.6) | 473.7 (444.5;506.6) | -15.8(-18.2;-13.8) |
Ceará | 24076.6 (22398.9;25978.9) | 524.8 (491.1;560.8) | 45521.1 (42602.7;48610) | 458.7 (429.6;490.7) | -12.6(-14.8;-10.4) |
Distrito Federal | 4505.6 (4168.8;4888.6) | 550.4 (515.5;590.1) | 11843.1 (11093.6;12666.6) | 433.2 (406.9;463.9) | -21.3(-23.6;-19.1) |
Espírito Santo | 10124.4 (9476.6;10907.6) | 597 (558.7;639.6) | 20329.8 (19077.6;21677.9) | 475.9 (446.4;508.7) | -20.3(-22.7;-17.8) |
Goiás | 14164.8 (13166.4;15345) | 559.3 (522.7;600.2) | 30538.9 (28602.7;32638.9) | 440.8 (412.6;470.9) | -21.2(-23.5;-19) |
Maranhão | 16322.6 (15071;17739.8) | 528.8 (493.8;568.2) | 31679.3 (29575.4;34020.2) | 453.8 (424.3;486.7) | -14.2(-16.3;-11.9) |
Mato Grosso | 5861.4 (5416;6376.9) | 560.1 (523.8;603.2) | 15572.9 (14640.8;16594.5) | 462.1 (433.4;493.7) | -17.5(-19.8;-15.3) |
Mato Grosso do Sul | 6310.2 (5890.9;6820.4) | 582.4 (545;624.2) | 14125.2 (13252.9;15040.8) | 483.8 (453;515.7) | -16.9(-19.2;-14.7) |
Minas Gerais | 71837.8 (67116.6;77197) | 662.2 (620.6;708.3) | 134221.7 (125539.7;143761.7) | 526.5 (492.9;563) | -20.5(-22.8;-18.4) |
Pará | 14537.4 (13368.9;15902.3) | 540 (505.1;579.9) | 33318.7 (31088.5;35782.7) | 443.4 (414;475.7) | -17.9(-20.2;-15.7) |
Paraíba | 13732.3 (12775.8;14788.3) | 549.2 (513.2;590) | 20836.7 (19578.6;22302.1) | 449.3 (420.7;482.1) | -18.2(-20.8;-16) |
Paraná | 33688.5 (31469.4;36286) | 607.4 (567.4;652) | 61307.5 (57604;65450.1) | 476.9 (448.7;509.1) | -21.5(-23.7;-19.2) |
Pernambuco | 29154.2 (27148.1;31474) | 575.5 (540.2;616.7) | 48609.7 (45664.2;51831.3) | 486.1 (455.6;518.8) | -15.5(-17.8;-13.5) |
Piaui | 9035.6 (8358.6;9805.9) | 543.1 (506.4;584.1) | 17353.8 (16310.2;18496.1) | 464.3 (436.1;495.3) | -14.5(-16.9;-12) |
Rio de Janeiro | 64591.8 (60558.2;69272.2) | 635.4 (597.7;678.7) | 100862 (94708.7;107521.3) | 473.2 (445;504.7) | -25.5(-27.7;-23.5) |
Rio Grande do Norte | 9424.3 (8784.4;10171.1) | 530.4 (495.3;570.5) | 17234 (16146;18374.5) | 450.5 (422;481.3) | -15.1(-17.3;-12.6) |
Rio Grande do Sul | 43143.4 (40538.5;46255.1) | 615.4 (577.1;659.5) | 70448.5 (66035.9;75279.1) | 482.5 (454.4;515.7) | -21.6(-23.8;-19.4) |
Rondônia | 2951.5 (2701.4;3248.2) | 565.1 (526.5;608.3) | 7150.6 (6699;7664.9) | 449.4 (419.3;481) | -20.5(-23;-17.9) |
Roraima | 502 (459.5;551.6) | 544 (508.2;584.8) | 1917.1 (1781.8;2065.3) | 445.2 (414.8;476.5) | -18.2(-20.4;-15.9) |
Santa Catarina | 16812.6 (15702.4;18087.7) | 573.7 (537.3;613.9) | 37225 (35046.3;39624.9) | 470.9 (442.5;502.4) | -17.9(-20.4;-15.2) |
São Paulo | 133961.2 (125479.2;143345) | 604.8 (567.2;644.6) | 245976.9 (231441.1;261645.1) | 470.8 (442.9;502.5) | -22.2(-24.3;-20.1) |
Sergipe | 5348.7 (4961.9;5795.4) | 572 (534.5;614.3) | 11043.8 (10386.9;11787.7) | 485.8 (456;518.7) | -15.1(-17.4;-12.5) |
Tocantins | 2775.6 (2556.8;3025.5) | 533.9 (499.9;572.8) | 6501.8 (6086.7;6952.9) | 440.7 (412.2;470.6) | -17.5(-19.7;-15.2) |
Source: Data derived from Global Burden of Disease Study 2019, Institute for Health Metrics and Evaluation, University of Washington. 46