2008 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 2008
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** 152,014 6.5 0.14 (6.2 – 6.8) || 252,190 10.4 0.12 (10.2 – 10.7)
AL 2,082 5.9 0.79 (4.3 – 7.4) || 4,374 9.6 0.76 (8.1 – 11.1)
AK 1,222 7.5 1.43 (4.7 – 10.3) || 1,403 11.8 1.42 (9.0 – 14.6)
AZ 2,266 8.8 1.62 (5.7 – 12.0) || 3,861 10.7 1.02 (8.7 – 12.7)
AR 2,076 7.1 0.79 (5.5 – 8.6) || 3,570 9.5 0.71 (8.1 – 10.8)
CA 4,553 6.3 0.50 (5.3 – 7.3) || 7,022 10.4 0.48 (9.5 – 11.4)
CO 4,658 6.7 0.51 (5.7 – 7.7) || 7,019 9.5 0.45 (8.6 – 10.4)
CT 2,333 7.3 0.95 (5.5 – 9.2) || 3,775 10.1 0.69 (8.7 – 11.4)
DE 1,438 6.6 1.35 (4.0 – 9.3) || 2,557 12.4 0.97 (10.5 – 14.3)
DC 1,568 6.0 0.91 (4.3 – 7.8) || 2,650 12.6 0.90 (10.8 – 14.3)
FL 3,980 5.5 0.74 (4.1 – 7.0) || 6,834 7.6 0.52 (6.6 – 8.6)
GA 2,018 5.9 1.00 (3.9 – 7.9) || 3,671 10.9 0.75 (9.4 – 12.4)
HI 2,612 7.8 0.78 (6.3 – 9.3) || 3,789 11.4 0.74 (9.9 – 12.8)
ID 1,981 7.6 0.90 (5.8 – 9.3) || 3,098 10.1 0.72 (8.7 – 11.5)
IL 1,842 5.2 0.60 (4.1 – 6.4) || 3,310 10.3 0.70 (9.0 – 11.7)
IN 1,801 6.7 0.85 (5.0 – 8.3) || 3,062 11.6 0.80 (10.1 – 13.2)
IA 2,301 7.3 0.74 (5.9 – 8.8) || 3,683 8.2 0.58 (7.0 – 9.3)
KS 3,271 7.3 0.61 (6.1 – 8.5) || 5,307 10.1 0.61 (8.9 – 11.3)
KY 2,597 6.5 0.72 (5.0 – 7.9) || 5,441 12.7 0.73 (11.2 – 14.1)
LA 2,030 6.3 0.77 (4.8 – 7.8) || 4,131 9.6 0.69 (8.3 – 11.0)
ME 2,645 7.2 0.67 (5.9 – 8.5) || 4,097 13.2 0.71 (11.8 – 14.6)
MD 3,435 7.2 0.68 (5.9 – 8.6) || 5,971 11.4 0.62 (10.2 – 12.7)
MA 7,492 7.2 0.48 (6.3 – 8.2) || 12,959 11.8 0.46 (10.9 – 12.7)
MI 3,428 7.0 0.62 (5.8 – 8.3) || 5,949 12.6 0.61 (11.4 – 13.8)
MN 1,618 6.3 0.79 (4.8 – 7.9) || 2,658 9.2 0.76 (7.7 – 10.7)
MS 2,665 5.5 0.58 (4.3 – 6.6) || 5,238 8.5 0.51 (7.4 – 9.5)
MO 1,935 6.7 0.72 (5.3 – 8.1) || 3,200 10.0 0.87 (8.3 – 11.7)
MT 2,711 7.7 0.71 (6.3 – 9.0) || 4,092 11.6 0.79 (10.0 – 13.1)
NE 6,145 6.4 0.68 (5.1 – 7.7) || 10,011 7.9 0.57 (6.7 – 9.0)
NV 1,900 6.7 1.00 (4.7 – 8.7) || 2,837 10.4 0.88 (8.7 – 12.2)
NH 2,657 6.3 0.64 (5.1 – 7.6) || 4,175 14.3 0.79 (12.8 – 15.8)
NJ 4,345 6.6 0.62 (5.4 – 7.8) || 7,321 10.5 0.54 (9.4 – 11.5)
NM 2,402 7.0 0.87 (5.3 – 8.7) || 3,803 9.9 0.63 (8.7 – 11.2)
NY 2,908 6.2 0.64 (5.0 – 7.5) || 4,944 11.2 0.64 (9.9 – 12.4)
NC 5,969 5.5 0.45 (4.6 – 6.4) || 9,794 9.5 0.44 (8.6 – 10.4)
ND 2,034 7.0 0.77 (5.5 – 8.5) || 2,981 8.9 0.75 (7.5 – 10.4)
OH 4,758 7.6 0.59 (6.4 – 8.7) || 8,103 11.4 0.59 (10.3 – 12.6)
OK 2,763 6.4 0.63 (5.2 – 7.7) || 4,990 11.3 0.58 (10.2 – 12.5)
OR 1,829 6.1 0.69 (4.8 – 7.5) || 2,940 11.1 0.76 (9.6 – 12.6)
PA 4,751 6.9 0.59 (5.7 – 8.0) || 8,324 11.5 0.62 (10.3 – 12.7)
RI 1,681 8.1 0.98 (6.2 – 10.0) || 3,070 12.8 0.80 (11.2 – 14.4)
SC 3,683 5.2 0.60 (4.1 – 6.4) || 6,441 11.1 0.74 (9.7 – 12.5)
SD 2,834 6.0 0.63 (4.7 – 7.2) || 4,100 8.4 0.63 (7.1 – 9.6)
TN 1,686 6.1 0.78 (4.6 – 7.6) || 3,314 11.7 0.85 (10.0 – 13.4)
TX 3,740 6.3 0.69 (4.9 – 7.6) || 6,911 8.4 0.47 (7.5 – 9.3)
UT 2,318 7.4 0.72 (5.9 – 8.8) || 2,964 9.5 0.87 (7.8 – 11.2)
VT 2,715 7.9 0.71 (6.5 – 9.3) || 3,973 11.8 0.63 (10.5 – 13.0)
VA 1,983 6.5 1.29 (3.9 – 9.0) || 3,289 11.9 0.93 (10.0 – 13.7)
WA 8,660 6.9 0.38 (6.2 – 7.6) || 13,725 11.7 0.40 (10.9 – 12.5)
WV 1,577 6.4 0.67 (5.1 – 7.7) || 2,574 12.7 0.87 (11.0 – 14.4)
WI 2,915 8.2 0.93 (6.4 – 10.1) || 4,131 10.5 0.77 (9.0 – 12.0)
WY 3,203 8.0 0.65 (6.7 – 9.3) || 4,754 10.4 0.58 (9.3 – 11.6)
Territories
GU 340 3.0 0.91 (1.2 – 4.8) || 455 5.9 1.25 (3.5 – 8.4)
PR 1,588 3.3 0.51 (2.3 – 4.3) || 2,882 6.8 0.60 (5.6 – 8.0)
VI 872 3.2 0.76 (1.7 – 4.7) || 1,608 5.7 0.71 (4.3 – 7.1)

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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