2010 Adult Asthma Data: Prevalence Tables and Maps

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Table C2.1
Adult Self-Reported Current Asthma Prevalence Rate (Percent)
by Sex and State or Territory, BRFSS 2010
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** 166,902 6.5 0.12 (6.2 – 6.7) || 275,053 10.7 0.12 (10.5 – 10.9)
AL 2,399 5.1 0.58 (3.9 – 6.2) || 5,224 10.6 0.62 (9.4 – 11.8)
AK 843 6.5 1.39 (3.8 – 9.2) || 1,098 13.7 1.87 (10.1 – 17.4)
AZ 2,113 8.2 1.08 (6.1 – 10.3) || 3,598 12.4 0.95 (10.6 – 14.3)
AR 1,515 5.4 0.86 (3.7 – 7.1) || 2,479 10.1 0.96 (8.2 – 12.0)
CA 6,992 5.9 0.37 (5.2 – 6.6) || 10,749 9.4 0.37 (8.7 – 10.1)
CO 4,721 6.7 0.56 (5.6 – 7.8) || 6,850 11.7 0.65 (10.4 – 13.0)
CT 2,529 6.8 0.77 (5.3 – 8.3) || 4,198 11.3 0.74 (9.9 – 12.8)
DE 1,521 7.7 1.03 (5.7 – 9.7) || 2,704 12.1 0.89 (10.4 – 13.8)
DC 1,565 8.3 1.06 (6.3 – 10.4) || 2,375 12.1 0.90 (10.4 – 13.9)
FL 12,954 6.5 0.58 (5.4 – 7.6) || 21,860 10.0 0.45 (9.2 – 10.9)
GA 2,020 5.9 0.84 (4.2 – 7.5) || 3,742 9.5 0.65 (8.3 – 10.8)
HI 2,668 6.6 0.69 (5.3 – 8.0) || 3,829 12.1 0.79 (10.6 – 13.7)
ID 2,729 7.4 0.77 (5.9 – 8.9) || 4,225 10.1 0.62 (8.9 – 11.3)
IL 1,933 6.6 0.88 (4.9 – 8.4) || 3,257 11.6 0.82 (10.0 – 13.2)
IN 3,752 7.2 0.64 (6.0 – 8.5) || 6,404 11.7 0.57 (10.6 – 12.8)
IA 2,320 6.6 0.77 (5.1 – 8.2) || 3,751 9.0 0.58 (7.8 – 10.1)
KS 3,323 6.8 0.68 (5.5 – 8.2) || 5,186 10.3 0.59 (9.2 – 11.5)
KY 2,533 8.0 0.88 (6.3 – 9.8) || 5,462 12.6 0.71 (11.2 – 14.0)
LA 2,231 5.6 0.86 (3.9 – 7.3) || 4,762 7.6 0.49 (6.7 – 8.6)
ME 3,138 6.8 0.60 (5.6 – 8.0) || 4,931 13.0 0.65 (11.7 – 14.2)
MD 3,419 6.1 0.70 (4.7 – 7.5) || 5,718 10.4 0.63 (9.2 – 11.7)
MA 6,092 7.6 0.53 (6.6 – 8.6) || 10,123 12.9 0.53 (11.8 – 13.9)
MI 3,351 8.2 0.67 (6.9 – 9.5) || 5,470 12.6 0.67 (11.3 – 13.9)
MN 3,463 5.6 0.85 (4.0 – 7.3) || 5,462 9.5 0.91 (7.7 – 11.3)
MS 2,599 4.9 0.52 (3.9 – 6.0) || 5,446 9.3 0.56 (8.2 – 10.4)
MO 2,039 6.6 0.86 (5.0 – 8.3) || 3,361 10.9 0.87 (9.1 – 12.6)
MT 3,024 7.5 0.74 (6.0 – 9.0) || 4,232 10.7 0.89 (9.0 – 12.5)
NE 6,359 6.2 0.58 (5.0 – 7.3) || 9,945 9.4 0.70 (8.1 – 10.8)
NV 1,625 6.6 1.14 (4.4 – 8.8) || 2,257 11.9 1.22 (9.5 – 14.3)
NH 2,298 7.7 0.75 (6.2 – 9.2) || 3,699 12.9 0.80 (11.3 – 14.5)
NJ 4,694 6.5 0.60 (5.4 – 7.7) || 7,676 10.8 0.52 (9.8 – 11.8)
NM 2,715 8.3 0.99 (6.3 – 10.2) || 4,245 11.1 0.77 (9.6 – 12.6)
NY 3,317 7.5 0.64 (6.3 – 8.8) || 5,553 12.0 0.56 (10.9 – 13.1)
NC 4,468 5.3 0.57 (4.1 – 6.4) || 7,604 9.6 0.51 (8.6 – 10.6)
ND 1,835 5.6 0.88 (3.9 – 7.3) || 2,885 9.3 0.82 (7.7 – 10.9)
OH 3,624 7.1 0.70 (5.7 – 8.5) || 6,157 12.0 0.68 (10.6 – 13.3)
OK 2,751 7.6 0.69 (6.3 – 9.0) || 4,943 11.3 0.58 (10.2 – 12.5)
OR 1,944 7.2 0.87 (5.5 – 8.9) || 3,069 11.7 0.90 (10.0 – 13.5)
PA 4,208 7.6 0.60 (6.4 – 8.8) || 6,941 12.0 0.53 (11.0 – 13.0)
RI 2,342 7.7 0.93 (5.8 – 9.5) || 4,218 13.9 0.82 (12.3 – 15.5)
SC 3,509 6.8 1.05 (4.7 – 8.8) || 5,843 9.8 0.68 (8.4 – 11.1)
SD 2,632 6.9 0.78 (5.4 – 8.5) || 4,035 8.1 0.71 (6.7 – 9.5)
TN 1,774 4.5 0.86 (2.8 – 6.2) || 3,978 7.3 0.62 (6.1 – 8.5)
TX 6,490 5.1 0.58 (4.0 – 6.2) || 11,458 9.6 0.56 (8.5 – 10.7)
UT 4,244 7.1 0.59 (5.9 – 8.2) || 5,846 11.1 0.77 (9.6 – 12.6)
VT 2,711 8.0 0.75 (6.5 – 9.5) || 4,043 14.1 0.78 (12.6 – 15.6)
VA 2,028 5.4 0.78 (3.8 – 6.9) || 3,326 11.3 1.11 (9.1 – 13.4)
WA 7,704 7.3 0.46 (6.4 – 8.2) || 11,740 11.9 0.44 (11.0 – 12.8)
WV 1,665 5.1 0.65 (3.8 – 6.4) || 2,720 9.3 0.75 (7.8 – 10.7)
WI 1,879 5.8 0.77 (4.3 – 7.3) || 2,880 10.6 0.96 (8.7 – 12.5)
WY 2,300 7.9 0.76 (6.4 – 9.4) || 3,496 11.7 0.80 (10.1 – 13.3)
Territories
GU 330 2.0 0.78 (0.4 – 3.5) || 449 8.5 1.97 (4.6 – 12.3)
PR 1,244 5.5 0.83 (3.9 – 7.2) || 2,293 9.2 0.85 (7.5 – 10.9)
VI 598 3.6 0.98 (1.7 – 5.6) || 1,215 8.0 1.18 (5.6 – 10.3)

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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