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
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