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2009 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 2009
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** 160,182 6.4 0.13 (6.2 – 6.7) || 261,694 10.3 0.12 (10.1 – 10.6)
AL 2,090 6.2 0.80 (4.6 – 7.8) || 4,642 8.9 0.57 (7.8 – 10.0)
AK 1,091 5.6 1.08 (3.5 – 7.7) || 1,315 12.7 1.36 (10.1 – 15.4)
AZ 2,063 10.1 1.51 (7.1 – 13.1) || 3,380 11.5 1.08 (9.4 – 13.6)
AR 1,381 5.5 0.98 (3.6 – 7.4) || 2,599 9.5 0.86 (7.8 – 11.2)
CA 6,914 5.7 0.40 (4.9 – 6.5) || 10,448 9.9 0.40 (9.1 – 10.7)
CO 4,697 6.4 0.57 (5.3 – 7.5) || 7,153 10.0 0.52 (9.0 – 11.0)
CT 2,481 7.5 0.90 (5.7 – 9.3) || 3,976 11.1 0.78 (9.6 – 12.6)
DE 1,590 6.8 1.03 (4.8 – 8.8) || 2,716 10.7 0.95 (8.8 – 12.5)
DC 1,490 7.1 0.91 (5.3 – 8.9) || 2,380 12.3 0.98 (10.4 – 14.2)
FL 4,536 5.1 0.68 (3.7 – 6.4) || 7,455 8.7 0.55 (7.6 – 9.8)
GA 2,095 6.1 0.94 (4.2 – 7.9) || 3,768 7.8 0.62 (6.5 – 9.0)
HI 2,759 6.5 0.67 (5.2 – 7.9) || 3,879 12.2 0.79 (10.7 – 13.8)
ID 2,125 7.5 0.80 (6.0 – 9.1) || 3,231 9.2 0.68 (7.9 – 10.5)
IL 2,219 6.4 0.73 (5.0 – 7.8) || 3,617 11.5 0.79 (10.0 – 13.1)
IN 3,474 6.6 0.63 (5.3 – 7.8) || 5,755 11.5 0.69 (10.2 – 12.9)
IA 2,338 5.7 0.65 (4.4 – 7.0) || 3,658 7.9 0.56 (6.8 – 9.0)
KS 7,211 7.1 0.49 (6.1 – 8.0) || 11,584 9.9 0.42 (9.0 – 10.7)
KY 2,869 8.5 0.93 (6.7 – 10.4) || 6,717 11.7 0.72 (10.3 – 13.1)
LA 2,956 4.5 0.60 (3.3 – 5.7) || 5,885 8.0 0.47 (7.0 – 8.9)
ME 3,063 8.0 0.71 (6.6 – 9.4) || 4,968 13.4 0.65 (12.2 – 14.7)
MD 3,177 6.5 0.65 (5.2 – 7.8) || 5,339 11.5 0.73 (10.1 – 12.9)
MA 6,167 8.4 0.64 (7.1 – 9.6) || 10,431 13.1 0.63 (11.8 – 14.3)
MI 3,485 7.5 0.64 (6.3 – 8.7) || 5,707 12.4 0.64 (11.1 – 13.6)
MN 2,100 5.5 0.78 (4.0 – 7.0) || 3,490 7.7 0.59 (6.5 – 8.8)
MS 3,784 5.3 0.56 (4.2 – 6.4) || 7,348 9.6 0.53 (8.6 – 10.6)
MO 1,914 7.8 1.16 (5.5 – 10.1) || 3,112 11.1 0.87 (9.4 – 12.8)
MT 3,207 6.2 0.62 (5.0 – 7.4) || 4,375 10.1 0.67 (8.8 – 11.4)
NE 6,208 6.4 0.66 (5.1 – 7.7) || 9,689 8.8 0.69 (7.4 – 10.2)
NV 1,520 7.8 1.37 (5.1 – 10.5) || 2,306 10.3 1.00 (8.4 – 12.3)
NH 2,333 7.7 0.79 (6.1 – 9.2) || 3,623 12.7 0.82 (11.1 – 14.3)
NJ 4,542 5.0 0.52 (4.0 – 6.0) || 7,759 10.2 0.52 (9.2 – 11.2)
NM 3,415 7.5 0.69 (6.2 – 8.9) || 5,373 9.7 0.56 (8.6 – 10.8)
NY 2,624 7.2 0.74 (5.7 – 8.6) || 4,249 12.2 0.69 (10.9 – 13.6)
NC 4,959 5.6 0.56 (4.5 – 6.7) || 8,259 9.9 0.58 (8.7 – 11.0)
ND 1,885 5.9 0.67 (4.6 – 7.2) || 2,851 11.7 1.00 (9.7 – 13.6)
OH 3,702 7.9 0.74 (6.5 – 9.4) || 6,002 11.7 0.65 (10.5 – 13.0)
OK 2,801 7.9 0.78 (6.3 – 9.4) || 4,990 12.0 0.62 (10.8 – 13.2)
OR 1,693 9.5 1.08 (7.4 – 11.6) || 2,557 12.7 0.92 (10.9 – 14.5)
PA 3,470 6.6 0.63 (5.4 – 7.9) || 5,643 11.4 0.67 (10.1 – 12.7)
RI 2,271 7.1 0.72 (5.7 – 8.5) || 3,968 12.7 0.80 (11.2 – 14.3)
SC 3,704 5.6 0.64 (4.4 – 6.9) || 6,090 9.9 0.67 (8.6 – 11.2)
SD 2,594 5.9 0.73 (4.5 – 7.4) || 4,191 9.5 0.79 (7.9 – 11.0)
TN 1,731 7.0 0.91 (5.2 – 8.7) || 3,830 9.2 0.64 (7.9 – 10.4)
TX 4,143 4.7 0.55 (3.7 – 5.8) || 7,369 8.1 0.51 (7.1 – 9.1)
UT 4,356 6.7 0.56 (5.6 – 7.8) || 5,728 9.3 0.55 (8.2 – 10.4)
VT 2,641 7.3 0.65 (6.0 – 8.6) || 3,978 12.4 0.71 (11.0 – 13.7)
VA 2,058 5.7 0.92 (3.9 – 7.5) || 3,099 9.8 0.84 (8.1 – 11.4)
WA 8,047 7.0 0.40 (6.2 – 7.8) || 12,078 10.6 0.41 (9.8 – 11.4)
WV 1,837 6.0 0.71 (4.6 – 7.4) || 2,959 11.4 0.72 (10.0 – 12.8)
WI 1,966 8.4 1.15 (6.1 – 10.6) || 2,572 11.1 0.96 (9.2 – 13.0)
WY 2,406 7.5 0.74 (6.1 – 9.0) || 3,603 10.3 0.67 (9.0 – 11.6)
Territories
GU 464 4.1 1.08 (2.0 – 6.2) || 796 5.8 0.90 (4.1 – 7.6)
PR 1,474 5.2 0.79 (3.7 – 6.8) || 2,755 9.6 0.75 (8.1 – 11.1)
VI 870 3.2 0.73 (1.7 – 4.6) || 1,625 5.4 0.67 (4.1 – 6.7)

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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