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2014 Adult Asthma Data: Prevalence Tables and Maps

Table C2.1
Adult Self-Reported Current Asthma Prevalence Rate (Percent)
by Sex and State or Territory, BRFSS 2014
State Male
Sample
Size
Male
Prevalence
(percent)
Male
Standard
Error
(percent)
Male
95% CI*
(percent)
||
||
||
Female
Sample
Size
Female
Prevalence
(percent)
Female
Standard
Error
(percent)
Female
95% CI*
(percent)
U.S. Total** 188,407 6.4 0.11 (6.2 - 6.6) || 264,543 11.4 0.13 (11.1 - 11.6)
AL 3,089 6.1 0.57 (5.0 - 7.3) || 5,489 12.7 0.68 (11.4 - 14.0)
AK 1,954 5.5 0.76 (4.0 - 7.0) || 2,406 11.0 0.91 (9.2 - 12.7)
AZ 5,937 7.3 0.57 (6.2 - 8.4) || 8,813 11.8 0.59 (10.6 - 12.9)
AR 1,886 6.8 0.87 (5.1 - 8.5) || 3,329 10.6 0.84 (9.0 - 12.3)
CA 4,177 4.8 0.40 (4.1 - 5.6) || 4,604 10.6 0.60 (9.5 - 11.8)
CO 5,816 5.9 0.41 (5.1 - 6.7) || 7,482 10.9 0.50 (9.9 - 11.9)
CT 3,411 6.0 0.54 (5.0 - 7.1) || 4,484 12.1 0.74 (10.6 - 13.5)
DE 1,744 5.5 0.83 (3.9 - 7.2) || 2,531 11.8 0.83 (10.1 - 13.4)
DC 1,601 8.3 1.21 (6.0 - 10.7) || 2,440 14.3 1.43 (11.5 - 17.1)
FL 3,902 5.3 0.50 (4.4 - 6.3) || 5,871 10.6 0.57 (9.4 - 11.7)
GA 2,415 5.3 0.61 (4.1 - 6.5) || 3,893 11.1 0.70 (9.7 - 12.5)
HI 3,437 6.8 0.56 (5.7 - 8.0) || 3,756 11.7 0.75 (10.2 - 13.1)
ID 2,251 6.5 0.75 (5.0 - 7.9) || 3,205 10.7 0.77 (9.2 - 12.3)
IL 2,187 6.2 0.66 (4.9 - 7.5) || 2,850 11.9 0.83 (10.3 - 13.5)
IN 4,654 7.9 0.53 (6.9 - 9.0) || 6,800 13.3 0.60 (12.1 - 14.4)
IA 3,374 6.9 0.56 (5.8 - 8.0) || 4,700 10.0 0.67 (8.7 - 11.4)
KS 5,831 5.7 0.36 (5.1 - 6.4) || 7,809 11.6 0.46 (10.7 - 12.5)
KY 3,862 9.0 0.76 (7.5 - 10.5) || 7,252 14.7 0.74 (13.2 - 16.1)
LA 2,582 5.8 0.57 (4.6 - 6.9) || 4,160 9.5 0.58 (8.4 - 10.6)
ME 3,741 9.3 0.67 (8.0 - 10.6) || 5,331 13.7 0.66 (12.4 - 15.0)
MD 4,748 6.0 0.68 (4.6 - 7.3) || 7,746 10.9 0.65 (9.6 - 12.1)
MA 6,222 8.2 0.55 (7.1 - 9.3) || 9,288 15.5 0.64 (14.2 - 16.7)
MI 3,601 8.1 0.57 (7.0 - 9.3) || 4,804 13.5 0.66 (12.2 - 14.8)
MN 7,458 6.2 0.36 (5.5 - 6.9) || 8,869 10.5 0.42 (9.7 - 11.4)
MS 1,509 5.5 0.80 (3.9 - 7.1) || 2,668 9.1 0.81 (7.6 - 10.7)
MO 2,814 7.3 0.76 (5.8 - 8.8) || 4,217 12.0 0.74 (10.5 - 13.4)
MT 3,291 7.2 0.63 (6.0 - 8.5) || 4,175 11.9 0.79 (10.4 - 13.5)
NE 9,562 6.2 0.39 (5.4 - 6.9) || 12,727 9.2 0.43 (8.4 - 10.1)
NV 1,594 6.8 0.94 (5.0 - 8.7) || 2,121 9.3 0.94 (7.4 - 11.1)
NH 2,582 6.6 0.64 (5.3 - 7.8) || 3,553 13.7 0.82 (12.1 - 15.3)
NJ 5,353 6.7 0.51 (5.8 - 7.7) || 7,598 9.7 0.51 (8.7 - 10.7)
NM 3,737 7.4 0.66 (6.1 - 8.7) || 5,142 12.2 0.73 (10.8 - 13.6)
NY 2,845 8.7 0.71 (7.3 - 10.1) || 3,973 12.5 0.73 (11.1 - 13.9)
NC 3,101 5.6 0.55 (4.5 - 6.7) || 4,143 9.7 0.57 (8.6 - 10.8)
ND 3,244 7.1 0.70 (5.7 - 8.4) || 4,503 10.4 0.79 (8.9 - 12.0)
OH 4,262 7.0 0.58 (5.9 - 8.1) || 6,568 14.3 0.74 (12.8 - 15.7)
OK 3,408 7.5 0.58 (6.4 - 8.7) || 4,972 11.9 0.59 (10.7 - 13.0)
OR 2,201 7.8 0.81 (6.2 - 9.4) || 2,982 12.5 0.85 (10.9 - 14.2)
PA 4,480 7.5 0.54 (6.4 - 8.5) || 6,452 11.9 0.57 (10.8 - 13.0)
RI 2,524 7.7 0.69 (6.4 - 9.1) || 3,870 13.5 0.83 (11.9 - 15.2)
SC 4,568 5.2 0.43 (4.3 - 6.0) || 6,370 11.2 0.60 (10.0 - 12.4)
SD 3,177 5.1 0.60 (3.9 - 6.3) || 4,169 9.8 0.89 (8.1 - 11.5)
TN 1,866 5.9 0.71 (4.5 - 7.3) || 3,232 11.7 0.84 (10.1 - 13.4)
TX 6,178 4.6 0.38 (3.8 - 5.3) || 9,151 8.7 0.47 (7.7 - 9.6)
UT 6,909 6.9 0.36 (6.2 - 7.6) || 8,025 10.5 0.43 (9.6 - 11.3)
VT 2,858 8.0 0.63 (6.8 - 9.3) || 3,551 14.4 0.72 (13.0 - 15.9)
VA 3,964 6.2 0.53 (5.1 - 7.2) || 5,452 10.9 0.58 (9.8 - 12.1)
WA 4,223 7.4 0.56 (6.3 - 8.5) || 5,760 11.1 0.57 (9.9 - 12.2)
WV 2,607 7.5 0.61 (6.3 - 8.7) || 3,555 14.4 0.74 (13.0 - 15.9)
WI 3,131 7.8 0.71 (6.4 - 9.2) || 3,881 12.7 0.83 (11.1 - 14.3)
WY 2,539 6.3 0.76 (4.8 - 7.8) || 3,821 10.5 0.87 (8.8 - 12.2)
Territories                  
GU 1,099 2.9 0.74 (1.4 - 4.3) || 1,409 8.4 1.03 (6.4 - 10.4)
PR 2,161 7.3 0.70 (6.0 - 8.7) || 3,817 13.5 0.70 (12.1 - 14.9)

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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