2005 Child Asthma Data: Prevalence Tables

Table L1
Child Lifetime Asthma Prevalence Rate (Percent)
and Prevalence (Number) by State or Territory: BRFSS 2005
State Sample Size Prevalence
(Percent)
Standard
Error
95% CI *
(Percent)
Prevalence
(Number)
95% CI *
(Number)
Total ** 44,462 12.9 0.26 (12.4 – 13.4) 3,138,745 (3,013,600 – 3,263,889)
AZ 1,502 11.6 1.37 (9.2 – 14.6) 180,515 (139,380 – 221,650)
CT 1,573 14.9 1.14 (12.8 – 17.3) 123,070 (104,090 – 142,049)
HI 1,095 16.1 1.48 (13.4 – 19.2) 47,935 (39,005 – 56,864)
ID 1,913 9.5 0.79 (8.1 – 11.2) 35,596 (29,784 – 41,408)
IN 1,787 13.7 0.97 (11.9 – 15.7) 216,130 (185,561 – 246,699)
IA 1,566 9.8 0.90 (8.2 – 11.7) 67,285 (54,917 – 79,652)
KS 1,340 11.2 0.95 (9.4 – 13.2) 76,881 (63,968 – 89,794)
MD 1,369 13.5 1.18 (11.3 – 15.9) 151,857 (125,001 – 178,713)
MI 3,752 13.6 0.70 (12.3 – 15.0) 340,602 (305,055 – 376,150)
MN 837 9.0 1.09 (7.1 – 11.4) 111,562 (85,077 – 138,047)
MT 1,480 7.4 0.92 (5.8 – 9.4) 15,793 (11,903 – 19,684)
NH 1,921 15.0 0.99 (13.2 – 17.1) 45,288 (39,339 – 51,237)
NJ 4,017 14.1 0.73 (12.7 – 15.6) 297,460 (266,232 – 328,687)
NM 1,696 14.4 1.08 (12.4 – 16.6) 71,278 (60,667 – 81,888)
OH 2,140 12.8 1.12 (10.8 – 15.2) 352,737 (291,431 – 414,042)
OR 3,468 13.2 0.66 (11.9 – 14.5) 111,795 (100,604 – 122,986)
PA 3,760 14.0 0.85 (12.4 – 15.7) 384,459 (338,113 – 430,806)
RI 1,142 15.6 1.21 (13.4 – 18.1) 37,085 (31,414 – 42,756)
SD 2,018 8.8 0.79 (7.4 – 10.5) 17,022 (13,990 – 20,053)
VT 1,899 12.3 0.89 (10.7 – 14.1) 16,387 (14,018 – 18,757)
VA 1,668 12.5 0.99 (10.6 – 14.5) 221,746 (186,968 – 256,524)
WV 1,002 12.6 1.18 (10.5 – 15.1) 48,254 (39,327 – 57,181)
WI 1,517 12.9 1.22 (10.7 – 15.5) 168,009 (135,624 – 200,393)
Territories
PR 1,305 31.0 1.64 (27.9 – 34.3) 321,407 (286,043 – 356,770)

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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