2013 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 2013
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** 196,859 6.3 0.11 (6.1 – 6.5) || 283,601 11.5 0.13 (11.2 – 11.7)
AL 2,189 6.1 0.67 (4.8 – 7.4) || 4,262 10.8 0.68 (9.4 – 12.1)
AK 2,115 6.2 0.80 (4.6 – 7.8) || 2,432 12.7 1.13 (10.4 – 14.9)
AZ 1,741 6.6 0.96 (4.7 – 8.5) || 2,475 11.1 0.98 (9.2 – 13.0)
AR 1,992 6.6 0.79 (5.1 – 8.2) || 3,229 9.9 0.73 (8.4 – 11.3)
CA 5,067 6.3 0.44 (5.5 – 7.2) || 6,406 11.1 0.53 (10.1 – 12.1)
CO 5,894 6.2 0.41 (5.4 – 7.0) || 7,647 11.2 0.53 (10.2 – 12.3)
CT 3,168 7.0 0.64 (5.8 – 8.3) || 4,482 12.4 0.73 (10.9 – 13.8)
DE 2,071 7.6 0.84 (6.0 – 9.3) || 3,103 13.3 0.88 (11.6 – 15.0)
DC 1,923 9.5 1.23 (7.1 – 11.9) || 2,976 13.9 1.15 (11.7 – 16.2)
FL 13,243 5.7 0.43 (4.8 – 6.5) || 20,693 10.7 0.51 (9.7 – 11.7)
GA 3,055 5.2 0.53 (4.2 – 6.3) || 5,026 11.3 0.61 (10.1 – 12.5)
HI 3,591 7.4 0.67 (6.1 – 8.7) || 4,211 11.5 0.72 (10.0 – 12.9)
ID 2,368 5.9 0.71 (4.6 – 7.3) || 3,229 11.1 0.81 (9.5 – 12.7)
IL 2,333 4.9 0.57 (3.8 – 6.1) || 3,260 10.0 0.75 (8.6 – 11.5)
IN 4,252 7.3 0.56 (6.2 – 8.4) || 6,003 13.2 0.61 (12.0 – 14.4)
IA 3,254 5.5 0.53 (4.5 – 6.5) || 4,855 9.9 0.62 (8.7 – 11.1)
KS 9,568 6.8 0.34 (6.1 – 7.4) || 13,565 10.9 0.34 (10.2 – 11.6)
KY 3,853 6.7 0.55 (5.6 – 7.7) || 7,086 12.1 0.64 (10.8 – 13.4)
LA 1,763 6.2 0.90 (4.4 – 8.0) || 3,463 9.2 0.82 (7.6 – 10.8)
ME 3,316 8.9 0.68 (7.6 – 10.3) || 4,729 14.6 0.72 (13.2 – 16.0)
MD 4,974 6.7 0.59 (5.5 – 7.9) || 7,964 11.9 0.61 (10.7 – 13.1)
MA 5,955 8.8 0.59 (7.7 – 9.9) || 9,013 13.7 0.64 (12.4 – 14.9)
MI 5,372 8.6 0.56 (7.5 – 9.7) || 7,247 14.2 0.58 (13.0 – 15.3)
MN 6,097 5.5 0.53 (4.5 – 6.6) || 8,164 9.8 0.60 (8.6 – 10.9)
MS 2,600 5.6 0.62 (4.4 – 6.8) || 4,820 10.6 0.67 (9.3 – 11.9)
MO 2,723 8.1 0.82 (6.5 – 9.7) || 4,332 13.4 0.84 (11.7 – 15.0)
MT 4,288 6.4 0.49 (5.5 – 7.4) || 5,342 10.8 0.63 (9.6 – 12.1)
NE 6,930 5.5 0.43 (4.7 – 6.4) || 10,094 9.1 0.47 (8.1 – 10.0)
NV 2,176 4.7 0.74 (3.2 – 6.1) || 2,880 10.5 1.00 (8.6 – 12.5)
NH 2,689 8.5 0.83 (6.9 – 10.1) || 3,735 13.3 0.79 (11.8 – 14.9)
NJ 5,658 6.3 0.47 (5.4 – 7.3) || 7,635 11.5 0.59 (10.4 – 12.7)
NM 3,917 7.1 0.60 (5.9 – 8.3) || 5,326 11.3 0.61 (10.1 – 12.5)
NY 3,693 6.8 0.58 (5.7 – 8.0) || 5,218 12.3 0.63 (11.1 – 13.6)
NC 3,440 5.6 0.53 (4.6 – 6.6) || 5,374 11.0 0.61 (9.8 – 12.2)
ND 3,483 7.0 0.63 (5.7 – 8.2) || 4,259 9.7 0.72 (8.3 – 11.1)
OH 4,782 6.8 0.50 (5.9 – 7.8) || 7,099 12.4 0.64 (11.1 – 13.6)
OK 3,248 7.0 0.60 (5.8 – 8.2) || 4,934 10.9 0.56 (9.8 – 12.0)
OR 2,528 7.9 0.75 (6.4 – 9.4) || 3,362 14.7 0.85 (13.0 – 16.3)
PA 4,779 6.3 0.44 (5.4 – 7.1) || 6,571 12.6 0.60 (11.4 – 13.8)
RI 2,537 8.7 0.80 (7.2 – 10.3) || 3,945 14.9 0.81 (13.3 – 16.5)
SC 4,313 5.9 0.51 (4.9 – 6.9) || 6,314 10.8 0.56 (9.7 – 11.9)
SD 2,996 7.2 0.80 (5.6 – 8.8) || 3,842 8.7 0.81 (7.1 – 10.3)
TN 2,107 3.7 0.47 (2.7 – 4.6) || 3,666 10.3 0.71 (8.9 – 11.7)
TX 4,368 4.6 0.42 (3.7 – 5.4) || 6,454 9.9 0.58 (8.8 – 11.1)
UT 5,658 7.2 0.43 (6.3 – 8.0) || 7,027 10.9 0.50 (9.9 – 11.9)
VT 2,670 8.0 0.70 (6.6 – 9.3) || 3,678 14.4 0.82 (12.8 – 16.0)
VA 3,483 5.6 0.50 (4.7 – 6.6) || 4,922 11.6 0.66 (10.4 – 12.9)
WA 4,755 7.1 0.50 (6.1 – 8.1) || 6,329 12.7 0.58 (11.6 – 13.9)
WV 2,438 5.5 0.52 (4.5 – 6.5) || 3,399 12.4 0.69 (11.0 – 13.7)
WI 2,869 7.6 0.77 (6.1 – 9.1) || 3,697 13.1 0.99 (11.1 – 15.0)
WY 2,577 7.3 0.70 (5.9 – 8.7) || 3,827 11.0 0.75 (9.6 – 12.5)
Territories
GU 814 4.5 0.92 (2.7 – 6.3) || 1,071 6.2 0.98 (4.3 – 8.1)
PR 2,173 7.0 0.75 (5.5 – 8.5) || 3,830 13.2 0.73 (11.8 – 14.6)

 

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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