2015 Child Asthma Data: Prevalence Tables

Table C3
Child Current Asthma Prevalence Rate (Percent)
and Prevalence (Number) by Age and State or Territory: BRFSS 2015
State Age Group Sample Size Prevalence
(Percent)
Standard
Error
95% CI *
(Percent)
Prevalence
(Number)
95% CI *
(Number)
Total ** 0-4 10,706 5.1 0.46 (4.2 – 6.1) 572,446 (467,129 – 677,764)
Total ** 5-9 11,767 9.7 0.56 (8.7 – 10.9) 1,190,010 (1,048,640 – 1,331,380)
Total ** 10-14 13,816 10.0 0.48 (9.1 – 10.9) 1,139,902 (1,027,987 – 1,251,818)
Total ** 15-17 11,204 10.4 0.57 (9.4 – 11.6) 832,908 (739,910 – 925,907)
CA 0-4 674 2.9 0.60 (1.9 – 4.4) 39,645 (23,574 – 55,716)
CA 5-9 701 8.5 1.27 (6.3 – 11.3) 160,875 (111,330 – 210,421)
CA 10-14 727 8.1 1.11 (6.2 – 10.6) 154,109 (111,558 – 196,659)
CA 15-17 521 9.1 1.34 (6.8 – 12.1) 134,845 (94,966 – 174,724)
CT 0-4 402 8.6 2.32 (5.0 – 14.4) 15,994 (7,034 – 24,953)
CT 5-9 515 10.1 1.60 (7.3 – 13.6) 19,600 (13,283 – 25,918)
CT 10-14 626 17.1 2.25 (13.1 – 21.9) 30,646 (21,812 – 39,481)
CT 15-17 566 10.9 1.87 (7.7 – 15.1) 13,585 (8,749 – 18,421)
DC 0-4 134 2.6 916
DC 5-9 136 5.4 2.43 (2.2 – 12.7) 1,902 (220 – 3,585)
DC 10-14 139 23.6 6.21 (13.6 – 37.8) 5,643 (2,351 – 8,934)
DC 15-17 100 6.6 2.57 (3.0 – 13.7) 943 (258 – 1,628)
GA 0-4 137 7.4 2.95 (3.4 – 15.7) 49,736 (9,614 – 89,857)
GA 5-9 167 14.1 3.64 (8.4 – 22.9) 97,871 (44,111 – 151,631)
GA 10-14 226 11.6 2.87 (7.0 – 18.5) 54,392 (26,529 – 82,255)
GA 15-17 164 15.5 4.62 (8.4 – 26.8) 54,596 (19,048 – 90,144)
HI 0-4 319 7.3 2.80 (3.4 – 15.0) 5,834 (1,175 – 10,493)
HI 5-9 338 10.1 2.01 (6.8 – 14.8) 8,790 (5,196 – 12,383)
HI 10-14 375 11.3 1.83 (8.1 – 15.4) 6,462 (4,371 – 8,554)
HI 15-17 257 13.5 2.37 (9.5 – 18.8) 6,602 (4,242 – 8,962)
IL 0-4 208 3.8 1.43 (1.8 – 7.8) 30,044 (7,624 – 52,463)
IL 5-9 243 7.9 2.02 (4.7 – 12.9) 63,699 (30,694 – 96,704)
IL 10-14 340 7.0 1.54 (4.5 – 10.7) 46,232 (25,792 – 66,673)
IL 15-17 264 13.2 2.84 (8.6 – 19.8) 68,657 (37,422 – 99,892)
IN 0-4 221 5.2 2.30 (2.2 – 12.1) 19,760 (2,316 – 37,204)
IN 5-9 224 10.6 3.66 (5.3 – 20.2) 45,801 (12,207 – 79,394)
IN 10-14 306 7.6 1.67 (4.9 – 11.6) 25,615 (14,465 – 36,765)
IN 15-17 269 9.0 2.25 (5.5 – 14.5) 20,089 (9,964 – 30,213)
KS 0-4 1,087 5.6 0.81 (4.2 – 7.4) 8,589 (6,080 – 11,098)
KS 5-9 1,131 9.2 0.97 (7.5 – 11.3) 18,017 (14,123 – 21,910)
KS 10-14 1,283 11.6 1.06 (9.7 – 13.9) 19,829 (16,115 – 23,544)
KS 15-17 1,051 11.1 1.18 (9.0 – 13.7) 12,305 (9,618 – 14,992)
LA 0-4 190 8.8 2.26 (5.3 – 14.4) 22,376 (10,780 – 33,973)
LA 5-9 199 9.2 2.44 (5.4 – 15.2) 27,716 (12,712 – 42,721)
LA 10-14 245 8.0 1.94 (4.9 – 12.7) 19,706 (10,061 – 29,352)
LA 15-17 214 8.7 2.54 (4.9 – 15.2) 12,775 (5,166 – 20,384)
ME 0-4 187 7.8 2.61 (4.0 – 14.7) 4,915 (1,570 – 8,260)
ME 5-9 233 11.4 2.99 (6.7 – 18.7) 6,971 (3,160 – 10,783)
ME 10-14 282 10.0 1.95 (6.8 – 14.6) 6,583 (4,045 – 9,121)
ME 15-17 228 11.0 2.71 (6.7 – 17.6) 5,010 (2,453 – 7,566)
MA 0-4 105 4.1 12,129
MA 5-9 114 18.2 5.14 (10.2 – 30.5) 59,314 (22,261 – 96,366)
MA 10-14 118 12.0 3.63 (6.5 – 21.1) 34,825 (13,354 – 56,297)
MA 15-17 126 15.9 4.10 (9.4 – 25.7) 30,823 (15,411 – 46,235)
MI 0-4 386 3.6 1.13 (1.9 – 6.6) 17,748 (6,602 – 28,893)
MI 5-9 434 9.5 1.68 (6.6 – 13.3) 51,287 (32,615 – 69,959)
MI 10-14 525 10.4 1.49 (7.9 – 13.7) 54,812 (38,897 – 70,726)
MI 15-17 464 9.2 1.51 (6.7 – 12.6) 33,245 (22,194 – 44,295)
MN 0-4 806 3.0 0.70 (1.9 – 4.7) 7,350 (3,975 – 10,725)
MN 5-9 790 6.3 1.16 (4.3 – 9.0) 21,955 (13,689 – 30,221)
MN 10-14 969 7.7 1.00 (5.9 – 9.9) 22,588 (16,676 – 28,500)
MN 15-17 813 8.7 1.19 (6.7 – 11.3) 18,661 (13,518 – 23,803)
MS 0-4 248 10.0 2.75 (5.7 – 16.8) 17,053 (7,203 – 26,903)
MS 5-9 302 6.8 1.72 (4.1 – 11.0) 11,304 (5,548 – 17,059)
MS 10-14 313 9.8 2.01 (6.5 – 14.5) 16,885 (9,795 – 23,974)
MS 15-17 237 11.2 2.72 (6.8 – 17.7) 12,858 (6,325 – 19,391)
MO 0-4 286 2.4 0.95 (1.1 – 5.2) 7,529 (1,704 – 13,353)
MO 5-9 287 9.3 2.48 (5.4 – 15.4) 30,824 (13,858 – 47,789)
MO 10-14 341 13.1 2.38 (9.1 – 18.5) 42,481 (26,486 – 58,476)
MO 15-17 263 11.4 2.60 (7.2 – 17.5) 24,270 (12,882 – 35,658)
MT 0-4 282 1.4 759
MT 5-9 251 7.4 2.26 (4.0 – 13.2) 4,179 (1,612 – 6,746)
MT 10-14 331 6.1 1.74 (3.5 – 10.6) 3,126 (1,341 – 4,910)
MT 15-17 219 8.8 2.53 (4.9 – 15.1) 3,307 (1,381 – 5,234)
NE 0-4 862 2.4 0.85 (1.2 – 4.8) 2,727 (833 – 4,620)
NE 5-9 917 5.6 1.05 (3.9 – 8.1) 7,080 (4,410 – 9,750)
NE 10-14 1,035 10.0 1.61 (7.3 – 13.6) 11,444 (7,617 – 15,271)
NE 15-17 903 9.2 1.56 (6.6 – 12.8) 6,886 (4,507 – 9,266)
NV 0-4 102 2.1 3,793
NV 5-9 131 7.5 3.30 (3.1 – 17.1) 10,303 (1,095 – 19,511)
NV 10-14 142 5.5 2.35 (2.3 – 12.4) 6,726 (1,017 – 12,434)
NV 15-17 127 10.2 3.88 (4.7 – 20.7) 10,130 (2,219 – 18,042)
NH 0-4 225 2.8 1.73 (0.8 – 9.1) 1,700 (0 – 3,775)
NH 5-9 267 5.2 1.40 (3.0 – 8.7) 3,265 (1,518 – 5,012)
NH 10-14 359 10.5 1.90 (7.3 – 14.8) 7,054 (4,423 – 9,684)
NH 15-17 261 9.8 2.13 (6.3 – 14.8) 4,634 (2,591 – 6,678)
NJ 0-4 479 5.8 1.61 (3.3 – 9.9) 26,807 (11,748 – 41,866)
NJ 5-9 577 9.0 1.60 (6.3 – 12.7) 37,721 (23,935 – 51,507)
NJ 10-14 632 12.7 1.85 (9.5 – 16.8) 56,133 (39,145 – 73,122)
NJ 15-17 576 8.9 1.55 (6.3 – 12.5) 25,883 (16,789 – 34,977)
NM 0-4 268 4.2 1.50 (2.1 – 8.3) 5,682 (1,659 – 9,704)
NM 5-9 297 9.5 1.85 (6.5 – 13.8) 12,390 (7,553 – 17,228)
NM 10-14 413 14.1 2.43 (10.0 – 19.6) 14,890 (9,495 – 20,285)
NM 15-17 309 10.3 2.52 (6.3 – 16.4) 7,769 (3,815 – 11,722)
NY 0-4 243 7.8 2.16 (4.5 – 13.2) 83,520 (36,159 – 130,882)
NY 5-9 279 12.2 2.40 (8.3 – 17.8) 116,391 (69,122 – 163,660)
NY 10-14 279 10.3 2.35 (6.5 – 15.9) 85,746 (45,309 – 126,183)
NY 15-17 243 11.3 2.65 (7.0 – 17.6) 72,923 (37,100 – 108,746)
OH 0-4 235 3.3 1.17 (1.6 – 6.6) 17,457 (5,400 – 29,514)
OH 5-9 295 8.4 3.04 (4.0 – 16.6) 52,705 (12,982 – 92,428)
OH 10-14 376 7.5 1.69 (4.8 – 11.5) 45,340 (24,949 – 65,731)
OH 15-17 338 11.1 2.96 (6.5 – 18.4) 45,242 (19,820 – 70,663)
OK 0-4 130 4.9 2.54 (1.7 – 13.0) 11,741 (0 – 24,045)
OK 5-9 176 9.7 2.58 (5.7 – 16.0) 22,020 (10,140 – 33,899)
OK 10-14 163 18.0 3.94 (11.6 – 27.1) 43,553 (22,940 – 64,165)
OK 15-17 134 4.7 1.60 (2.4 – 9.0) 6,884 (2,331 – 11,438)
OR 0-4 191 4.3 1.83 (1.8 – 9.7) 7,735 (1,164 – 14,307)
OR 5-9 195 9.6 2.69 (5.5 – 16.4) 21,376 (9,226 – 33,526)
OR 10-14 242 11.1 2.46 (7.1 – 17.0) 22,802 (12,462 – 33,142)
OR 15-17 191 12.5 2.72 (8.1 – 18.9) 15,216 (8,543 – 21,889)
PA 0-4 243 6.8 2.47 (3.2 – 13.5) 37,269 (9,351 – 65,186)
PA 5-9 238 12.3 2.82 (7.8 – 19.0) 74,163 (38,717 – 109,610)
PA 10-14 276 11.7 2.30 (7.9 – 17.0) 75,229 (45,277 – 105,180)
PA 15-17 224 13.3 2.84 (8.7 – 19.9) 53,108 (29,674 – 76,543)
RI 0-4 195 4.4 1.89 (1.8 – 10.0) 2,266 (304 – 4,229)
RI 5-9 246 11.6 2.83 (7.1 – 18.4) 5,390 (2,640 – 8,141)
RI 10-14 301 14.3 2.61 (9.9 – 20.2) 7,533 (4,673 – 10,392)
RI 15-17 269 12.5 2.93 (7.8 – 19.4) 4,200 (2,099 – 6,300)
TX 0-4 559 5.9 1.97 (3.0 – 11.2) 92,542 (29,437 – 155,647)
TX 5-9 639 9.2 1.89 (6.1 – 13.7) 155,481 (90,905 – 220,057)
TX 10-14 815 10.6 1.84 (7.5 – 14.8) 179,231 (115,313 – 243,148)
TX 15-17 531 7.4 1.56 (4.9 – 11.1) 79,189 (46,089 – 112,290)
UT 0-4 821 2.8 0.64 (1.8 – 4.4) 6,660 (3,664 – 9,656)
UT 5-9 902 7.0 1.00 (5.3 – 9.2) 14,512 (10,308 – 18,717)
UT 10-14 987 7.7 0.90 (6.1 – 9.7) 17,257 (13,225 – 21,289)
UT 15-17 731 11.1 1.70 (8.2 – 14.9) 15,056 (10,259 – 19,852)
VT 0-4 268 4.4 1.67 (2.1 – 9.1) 1,264 (309 – 2,218)
VT 5-9 281 12.3 2.39 (8.3 – 17.8) 3,715 (2,230 – 5,200)
VT 10-14 350 11.4 2.25 (7.7 – 16.6) 3,506 (2,079 – 4,933)
VT 15-17 341 13.3 2.43 (9.2 – 18.9) 2,479 (1,552 – 3,406)
WI 0-4 213 3.3 1.63 (1.3 – 8.5) 10,908 (292 – 21,524)
WI 5-9 262 8.3 2.03 (5.1 – 13.2) 23,392 (11,930 – 34,854)
WI 10-14 300 6.4 2.12 (3.3 – 12.1) 19,526 (6,588 – 32,464)
WI 15-17 270 14.1 3.14 (9.0 – 21.5) 30,740 (16,086 – 45,394)
Territory
PR 0-4 288 15.2 2.77 (10.5 – 21.5) 27,298 (16,805 – 37,791)
PR 5-9 270 17.1 2.62 (12.6 – 22.9) 31,608 (21,569 – 41,648)
PR 10-14 319 25.4 3.28 (19.6 – 32.4) 58,256 (40,765 – 75,747)
PR 15-17 280 16.2 2.99 (11.1 – 22.9) 21,649 (13,071 – 30,228)

Notes:
* CI denotes confidence interval.
** Total includes data from 31 states based on cellphone and landline data combined excludes the territory,
Puerto Rico.
If values for the standard error and the 95% confidence interval are not provided, the normal approximation
to the binomial distribution does not apply due to small sample size
When the sample size is less than 50, estimates are not precise and should be interpreted with caution.
Air Pollution and Respiratory Health Branch, National Center for Environmental Health

Centers for Disease Control and Prevention

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