2014 Adult Asthma Data: Prevalence Tables and Maps

Table L2.1
Adult Self-Reported Lifetime Asthma Prevalence Rate (Percent)
by Sex and State or Territory: BRFSS 2014
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** 189,064 11.2 0.14 (10.9 – 11.5) || 265,604 15.7 0.15 (15.4 – 16.0)
AL 3,102 11.5 0.81 (9.9 – 13.1) || 5,518 17.4 0.76 (15.9 – 18.9)
AK 1,961 8.4 0.87 (6.7 – 10.1) || 2,414 16.8 1.11 (14.7 – 19.0)
AZ 5,962 12.0 0.71 (10.6 – 13.4) || 8,859 16.6 0.69 (15.2 – 17.9)
AR 1,897 11.7 1.10 (9.5 – 13.8) || 3,348 14.8 0.98 (12.9 – 16.8)
CA 4,189 9.7 0.55 (8.6 – 10.8) || 4,617 15.5 0.69 (14.2 – 16.9)
CO 5,844 9.8 0.51 (8.8 – 10.8) || 7,519 14.6 0.56 (13.5 – 15.7)
CT 3,427 10.8 0.73 (9.3 – 12.2) || 4,500 17.1 0.85 (15.5 – 18.8)
DE 1,751 11.5 1.17 (9.2 – 13.8) || 2,537 17.0 1.09 (14.9 – 19.1)
DC 1,604 15.4 1.57 (12.3 – 18.5) || 2,449 18.8 1.61 (15.7 – 22.0)
FL 3,908 9.6 0.65 (8.3 – 10.9) || 5,884 14.5 0.65 (13.2 – 15.8)
GA 2,428 11.4 0.91 (9.6 – 13.2) || 3,902 16.1 0.84 (14.4 – 17.7)
HI 3,449 14.1 0.88 (12.4 – 15.8) || 3,772 18.3 0.93 (16.5 – 20.1)
ID 2,256 9.7 0.87 (8.0 – 11.4) || 3,213 15.0 0.91 (13.2 – 16.7)
IL 2,190 11.5 0.89 (9.8 – 13.3) || 2,854 16.3 0.94 (14.4 – 18.1)
IN 4,663 11.9 0.64 (10.7 – 13.2) || 6,826 17.1 0.67 (15.8 – 18.4)
IA 3,385 12.4 0.77 (10.9 – 13.9) || 4,715 13.9 0.75 (12.4 – 15.3)
KS 5,850 11.1 0.50 (10.1 – 12.0) || 7,848 16.0 0.52 (15.0 – 17.1)
KY 3,879 14.3 0.94 (12.4 – 16.1) || 7,285 19.3 0.83 (17.7 – 21.0)
LA 2,588 11.2 0.76 (9.7 – 12.7) || 4,175 13.7 0.67 (12.4 – 15.1)
ME 3,756 14.7 0.82 (13.1 – 16.3) || 5,350 18.1 0.75 (16.6 – 19.5)
MD 4,756 10.5 0.85 (8.8 – 12.2) || 7,771 16.2 0.82 (14.6 – 17.8)
MA 6,242 14.1 0.70 (12.7 – 15.4) || 9,347 20.8 0.70 (19.4 – 22.2)
MI 3,614 13.0 0.71 (11.6 – 14.4) || 4,826 17.6 0.74 (16.1 – 19.0)
MN 7,478 9.8 0.44 (8.9 – 10.6) || 8,902 13.8 0.47 (12.9 – 14.8)
MS 1,514 11.7 1.17 (9.4 – 14.0) || 2,675 13.3 0.96 (11.4 – 15.2)
MO 2,824 13.1 0.98 (11.1 – 15.0) || 4,233 15.8 0.90 (14.1 – 17.6)
MT 3,297 11.8 0.81 (10.2 – 13.3) || 4,186 15.1 0.88 (13.3 – 16.8)
NE 9,583 10.8 0.53 (9.7 – 11.8) || 12,772 13.6 0.54 (12.6 – 14.7)
NV 1,607 11.4 1.16 (9.1 – 13.6) || 2,134 13.2 1.16 (10.9 – 15.5)
NH 2,594 10.5 0.83 (8.9 – 12.2) || 3,567 17.5 0.93 (15.7 – 19.3)
NJ 5,370 11.1 0.63 (9.8 – 12.3) || 7,632 13.7 0.61 (12.5 – 14.9)
NM 3,752 12.3 0.84 (10.6 – 13.9) || 5,163 16.4 0.81 (14.8 – 18.0)
NY 2,859 13.1 0.83 (11.5 – 14.7) || 3,988 16.8 0.82 (15.2 – 18.4)
NC 3,109 9.4 0.70 (8.0 – 10.8) || 4,156 13.4 0.65 (12.1 – 14.6)
ND 3,252 10.1 0.84 (8.5 – 11.8) || 4,519 14.3 0.92 (12.5 – 16.1)
OH 4,281 11.7 0.75 (10.3 – 13.2) || 6,603 18.0 0.81 (16.4 – 19.6)
OK 3,417 12.8 0.75 (11.3 – 14.2) || 4,989 15.8 0.68 (14.5 – 17.1)
OR 2,212 14.2 1.02 (12.2 – 16.2) || 3,002 18.8 0.98 (16.9 – 20.7)
PA 4,499 12.4 0.69 (11.0 – 13.7) || 6,477 16.2 0.67 (14.8 – 17.5)
RI 2,535 12.5 0.97 (10.6 – 14.4) || 3,893 17.7 0.93 (15.8 – 19.5)
SC 4,594 10.6 0.62 (9.4 – 11.8) || 6,400 15.4 0.67 (14.1 – 16.7)
SD 3,190 8.9 0.81 (7.3 – 10.5) || 4,185 13.5 1.01 (11.6 – 15.5)
TN 1,873 11.9 1.12 (9.7 – 14.1) || 3,246 16.7 0.97 (14.8 – 18.6)
TX 6,192 9.5 0.60 (8.3 – 10.6) || 9,187 12.6 0.56 (11.5 – 13.7)
UT 6,929 11.9 0.47 (11.0 – 12.8) || 8,037 15.0 0.50 (14.0 – 15.9)
VT 2,875 13.3 0.82 (11.7 – 14.9) || 3,573 19.5 0.80 (18.0 – 21.1)
VA 3,973 10.2 0.72 (8.8 – 11.6) || 5,469 15.0 0.67 (13.7 – 16.3)
WA 4,245 13.0 0.74 (11.6 – 14.5) || 5,793 16.5 0.70 (15.1 – 17.9)
WV 2,611 11.6 0.78 (10.1 – 13.1) || 3,567 17.3 0.79 (15.8 – 18.9)
WI 3,143 10.3 0.78 (8.8 – 11.8) || 3,889 15.0 0.88 (13.3 – 16.8)
WY 2,555 9.8 0.93 (8.0 – 11.6) || 3,838 14.2 1.01 (12.2 – 16.2)
Territories
GU 1,103 8.7 1.25 (6.3 – 11.2) || 1,410 16.2 1.45 (13.4 – 19.1)
PR 2,161 11.8 0.86 (10.1 – 13.5) || 3,817 21.8 0.85 (20.1 – 23.4)

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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