2005 Child Asthma Data: Prevalence Tables

Table L2.1
Child Lifetime Asthma Prevalence Rate (Percent)
by Sex and State or Territory: BRFSS 2005
State Male
Sample Size
Male
Prevalence
Male
Standard
Error
Male
95% CI *
Female
Sample Size
Female
Prevalence
Female
Standard
Error
Female
95% CI *
Total ** 22,715 14.9 0.38 (14.2 – 15.7) 21,449 10.9 0.35 (10.2 – 11.6)
AZ 789 13.9 2.07 (10.3 – 18.5) 694 9.3 1.82 (6.3 – 13.5)
CT 838 16.2 1.65 (13.2 – 19.7) 723 13.7 1.59 (10.9 – 17.1)
HI 549 19.1 2.28 (15.1 – 24.0) 543 12.8 1.85 (9.6 – 16.9)
ID 973 12.7 1.33 (10.3 – 15.5) 933 6.3 0.80 (4.9 – 8.1)
IN 881 14.6 1.44 (12.0 – 17.7) 894 12.7 1.29 (10.4 – 15.5)
IA 827 11.3 1.28 (9.0 – 14.0) 734 8.3 1.27 (6.2 – 11.2)
KS 676 12.5 1.43 (9.9 – 15.6) 656 9.8 1.26 (7.6 – 12.6)
MD 704 14.6 1.72 (11.6 – 18.4) 653 12.3 1.60 (9.5 – 15.8)
MI 1,870 15.9 1.04 (14.0 – 18.1) 1,870 11.1 0.94 (9.4 – 13.1)
MN 400 9.8 1.62 (7.1 – 13.5) 433 8.2 1.46 (5.7 – 11.6)
MT 759 9.2 1.35 (6.8 – 12.2) 714 5.5 1.25 (3.5 – 8.5)
NH 1,002 15.9 1.41 (13.4 – 18.9) 902 14.2 1.40 (11.7 – 17.2)
NJ 2,060 17.3 1.10 (15.2 – 19.5) 1,907 11.2 0.98 (9.4 – 13.2)
NM 854 16.8 1.59 (14.0 – 20.2) 835 11.8 1.47 (9.2 – 15.0)
OH 1,115 14.1 1.59 (11.2 – 17.5) 1,008 11.7 1.61 (8.9 – 15.2)
OR 1,784 15.2 0.97 (13.4 – 17.2) 1,661 11.3 0.91 (9.6 – 13.2)
PA 1,908 16.6 1.31 (14.2 – 19.3) 1,818 11.5 1.10 (9.6 – 13.9)
RI 608 17.6 1.75 (14.5 – 21.3) 519 13.3 1.67 (10.4 – 16.9)
SD 1,017 8.9 0.99 (7.2 – 11.1) 991 8.7 1.25 (6.6 – 11.5)
VT 973 14.8 1.36 (12.3 – 17.7) 919 9.8 1.13 (7.8 – 12.3)
VA 868 14.5 1.46 (11.9 – 17.6) 790 10.4 1.39 (8.0 – 13.5)
WV 493 14.8 1.80 (11.6 – 18.6) 505 10.5 1.52 (7.9 – 13.9)
WI 767 16.7 1.75 (13.5 – 20.4) 747 8.9 1.71 (6.1 – 12.9)
Territories
PR 700 35.0 2.35 (30.5 – 39.7) 601 27.1 2.27 (22.9 – 31.8)

Notes:

* CI denotes confidence interval.

** Total includes data from 23 states and excludes the territory, Puerto Rico.

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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