Table L2.1
Adult Self-Reported Lifetime Asthma Prevalence Rate (Percent)
by Sex and State or Territory: BRFSS 2011
State
Male
Sample
Size
Male
Prevalence
(percent)
Male
Standard
Error
Male
95% CI* (percent)
||
||
||
Female
Sample
Size
Female
Prevalence
(percent)
Female
Standard
Error
Female
95% CI* (percent)
U.S. Total**
194,868
11.4
0.15
(11.1 – 11.7)
||
301,355
15.3
0.14
(15.1 – 15.6)
AL
2,601
10.4
0.84
(8.8 – 12.1)
||
5,046
13.3
0.68
(11.9 – 14.6)
AK
1,634
10.4
1.13
(8.2 – 12.6)
||
1,889
17.9
1.28
(15.4 – 20.4)
AZ
2,440
12.3
1.18
(10.0 – 14.6)
||
3,857
15.9
1.12
(13.7 – 18.1)
AR
1,695
12.4
1.34
(9.8 – 15.1)
||
3,029
15.8
1.09
(13.7 – 18.0)
CA
7,337
12.1
0.52
(11.1 – 13.1)
||
10,653
15.9
0.52
(14.9 – 16.9)
CO
5,748
11.6
0.64
(10.3 – 12.8)
||
7,819
14.2
0.59
(13.1 – 15.4)
CT
2,607
12.4
0.95
(10.5 – 14.2)
||
4,195
17.1
0.91
(15.3 – 18.9)
DE
1,817
10.1
1.01
(8.1 – 12.1)
||
2,952
17.5
1.05
(15.4 – 19.6)
DC
1,740
14.2
1.39
(11.4 – 16.9)
||
2,809
17.3
1.06
(15.2 – 19.4)
FL
4,905
10.3
0.71
(9.0 – 11.7)
||
7,445
14.1
0.62
(12.9 – 15.3)
GA
3,533
12.3
0.88
(10.6 – 14.1)
||
6,388
15.7
0.72
(14.3 – 17.1)
HI
3,271
13.9
0.99
(12.0 – 15.8)
||
4,311
18.5
0.97
(16.6 – 20.4)
ID
2,420
11.6
1.01
(9.6 – 13.6)
||
3,632
14.8
0.91
(13.0 – 16.6)
IL
2,195
12.1
1.07
(10.0 – 14.1)
||
3,275
14.9
0.89
(13.1 – 16.6)
IN
3,281
11.0
0.75
(9.5 – 12.5)
||
5,185
16.6
0.75
(15.1 – 18.0)
IA
3,002
10.5
0.75
(9.1 – 12.0)
||
4,328
13.0
0.72
(11.6 – 14.4)
KS
8,104
10.8
0.48
(9.9 – 11.7)
||
12,544
14.9
0.44
(14.0 – 15.7)
KY
3,723
12.7
0.85
(11.0 – 14.3)
||
7,126
17.2
0.78
(15.7 – 18.8)
LA
3,513
10.0
0.82
(8.4 – 11.6)
||
7,391
12.1
0.60
(10.9 – 13.3)
ME
5,146
13.5
0.69
(12.1 – 14.8)
||
8,059
19.9
0.65
(18.6 – 21.1)
MD
3,781
13.2
0.97
(11.3 – 15.1)
||
6,313
14.4
0.72
(13.0 – 15.8)
MA
8,454
12.6
0.62
(11.4 – 13.9)
||
13,808
17.8
0.60
(16.6 – 19.0)
MI
4,419
12.7
0.74
(11.3 – 14.2)
||
6,593
16.8
0.73
(15.3 – 18.2)
MN
6,679
8.9
0.55
(7.8 – 10.0)
||
8,682
12.8
0.55
(11.7 – 13.8)
MS
3,096
10.8
0.79
(9.2 – 12.3)
||
5,774
14.0
0.69
(12.6 – 15.3)
MO
2,473
11.8
0.95
(9.9 – 13.6)
||
3,910
15.7
0.84
(14.1 – 17.3)
MT
4,390
11.3
0.70
(9.9 – 12.7)
||
5,837
15.5
0.78
(13.9 – 17.0)
NE
10,194
10.5
0.44
(9.6 – 11.3)
||
15,133
12.4
0.42
(11.6 – 13.3)
NV
2,238
12.8
1.19
(10.5 – 15.1)
||
3,240
14.8
1.10
(12.7 – 17.0)
NH
2,535
12.7
0.96
(10.8 – 14.6)
||
3,797
18.0
0.94
(16.1 – 19.8)
NJ
6,049
11.0
0.64
(9.7 – 12.2)
||
9,289
14.9
0.59
(13.7 – 16.0)
NM
3,793
12.6
0.77
(11.1 – 14.1)
||
5,598
17.9
0.71
(16.5 – 19.2)
NY
3,109
12.5
0.89
(10.8 – 14.2)
||
4,603
16.4
0.77
(14.9 – 18.0)
NC
4,302
10.5
0.77
(9.0 – 12.0)
||
7,205
15.7
0.72
(14.2 – 17.1)
ND
2,207
10.7
0.94
(8.9 – 12.5)
||
3,084
12.4
0.86
(10.7 – 14.0)
OH
3,740
11.5
0.78
(10.0 – 13.1)
||
6,177
15.6
0.69
(14.2 – 16.9)
OK
3,162
12.7
0.91
(11.0 – 14.5)
||
5,337
15.9
0.72
(14.5 – 17.4)
OR
2,567
14.2
0.99
(12.3 – 16.2)
||
3,657
19.1
0.91
(17.3 – 20.9)
PA
4,594
10.5
0.68
(9.2 – 11.9)
||
6,872
15.1
0.65
(13.8 – 16.4)
RI
2,500
13.0
0.97
(11.1 – 14.9)
||
4,020
19.3
0.87
(17.6 – 21.0)
SC
5,084
11.1
0.75
(9.6 – 12.5)
||
7,822
14.6
0.63
(13.4 – 15.9)
SD
3,307
9.5
0.89
(7.7 – 11.2)
||
4,928
13.0
1.00
(11.0 – 14.9)
TN
1,835
8.4
1.30
(5.9 – 11.0)
||
4,070
12.2
1.22
(9.8 – 14.6)
TX
5,663
10.5
0.68
(9.1 – 11.8)
||
9,264
14.1
0.67
(12.8 – 15.5)
UT
5,478
12.3
0.62
(11.1 – 13.5)
||
7,149
14.7
0.61
(13.5 – 15.9)
VT
2,842
13.7
0.90
(11.9 – 15.5)
||
4,232
17.9
0.86
(16.2 – 19.6)
VA
2,646
9.6
0.84
(8.0 – 11.3)
||
3,940
15.9
0.96
(14.0 – 17.8)
WA
5,932
12.4
0.72
(11.0 – 13.8)
||
8,765
16.3
0.69
(15.0 – 17.7)
WV
2,062
9.6
0.90
(7.9 – 11.4)
||
3,204
14.1
0.77
(12.6 – 15.6)
WI
2,187
10.1
0.98
(8.2 – 12.0)
||
3,105
13.7
1.00
(11.8 – 15.7)
WY
2,838
11.7
0.88
(9.9 – 13.4)
||
4,014
15.1
0.98
(13.2 – 17.0)
Territories
PR
2,425
12.1
0.80
(10.5 – 13.7)
||
4,182
21.7
0.82
(20.1 – 23.3)
Notes:
*CI denotes confidence interval.
**U.S. Total includes 50 states plus the District of Columbia and excludes the three territories.
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.
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