2016 Child Asthma Data: Prevalence Tables

Table L4
Child Lifetime Asthma Prevalence and Weighted Number
by Race and State or Territory: BRFSS 2016
State Race Unweighted Number Prevalence
(Percent)
Standard
Error
95% CI*
(Percent)
Weighted Number 95% CI*
Weighted Number
Total ** White 47,097 11.2 0.26 (10.7–11.7) 3,485,649 (3,322,802–3,648,496)
Total ** Black 5,049 18.8 0.88 (17.1–20.6) 1,234,794 (1,111,083–1,358,505)
Total ** Other 8,828 12.8 0.62 (11.6–14.1) 1,086,172 (978,390–1,193,953)
AZ White 1,254 12.1 1.30 (9.8–14.9) 126,352 (98,729–153,975)
AZ Black 68 18.0 5.24 (9.9–30.5) 14,745 (5,807–23,682)
AZ Other 456 12.6 2.19 (8.9–17.5) 52,539 (33,570–71,508)
CA White 1,745 11.6 0.90 (10.0–13.5) 542,979 (457,422–628,536)
CA Black 153 21.7 4.15 (14.6–30.9) 125,770 (72,104–179,435)
CA Other 601 13.6 1.61 (10.7–17.1) 293,454 (221,553–365,355)
CT White 1,578 14.0 1.07 (12.1–16.3) 65,820 (55,564–76,076)
CT Black 198 27.5 3.77 (20.7–35.5) 26,110 (18,093–34,126)
CT Other 308 15.8 2.55 (11.4–21.5) 19,588 (12,962–26,214)
FL White 4,703 11.8 0.83 (10.3–13.5) 268,954 (231,062–306,846)
FL Black 989 16.7 2.01 (13.2–21.1) 149,604 (111,712–187,495)
FL Other 735 11.0 1.89 (7.8–15.2) 57,491 (37,002–77,980)
GA White 502 12.0 1.71 (9.0–15.8) 140,949 (100,490–181,408)
GA Black 297 17.8 2.63 (13.3–23.6) 144,249 (100,324–188,175)
GA Other 99 12.1 3.92 (6.3–22.1) 32,678 (10,581–54,776)
HI White 257 13.8 2.83 (9.1–20.3) 7,501 (4,267–10,734)
HI Black 10 16.1 502
HI Other 1,356 17.8 1.32 (15.3–20.5) 42,200 (35,722–48,679)
IL White 699 10.0 1.27 (7.7–12.8) 186,659 (139,808–233,511)
IL Black 139 21.7 4.05 (14.8–30.6) 99,729 (60,358–139,101)
IL Other 122 7.1 2.47 (3.6–13.8) 30,404 (9,192–51,617)
IN White 1,729 12.7 0.99 (10.9–14.8) 149,139 (125,707–172,570)
IN Black 199 17.0 3.22 (11.5–24.2) 32,552 (19,568–45,536)
IN Other 136 11.6 3.10 (6.8–19.2) 13,290 (6,115–20,465)
KS White 2,322 11.4 0.76 (10.0–13.0) 62,530 (54,246–70,813)
KS Black 120 17.0 3.77 (10.8–25.7) 9,570 (5,092–14,048)
KS Other 195 18.6 3.16 (13.2–25.6) 12,743 (8,201–17,285)
KY White 1,829 11.2 0.95 (9.5–13.2) 84,844 (70,610–99,079)
KY Black 174 23.5 4.80 (15.4–34.1) 23,159 (13,124–33,195)
KY Other 145 8.3 3.00 (4.0–16.4) 7,378 (2,030–12,726)
ME White 1,785 13.7 1.15 (11.6–16.1) 30,061 (24,982–35,141)
ME Black 25 16.0 1,115
ME Other 91 5.7 2.85 (2.1–14.6) 864 (0–1,732)
MA White 533 14.5 1.92 (11.1–18.7) 133,102 (97,381–168,823)
MA Black 61 16.7 6.83 (7.1–34.4) 17,336 (1,892–32,780)
MA Other 88 8.8 3.20 (4.3–17.5) 20,172 (5,548–34,796)
MI White 2,048 10.5 0.80 (9.0–12.2) 152,049 (128,926–175,171)
MI Black 343 20.2 2.50 (15.7–25.6) 72,166 (53,172–91,160)
MI Other 261 13.4 2.38 (9.3–18.8) 33,241 (20,847–45,635)
MN White 3,048 9.7 0.63 (8.5–11.0) 85,424 (74,278–96,570)
MN Black 187 18.7 3.41 (12.9–26.3) 21,280 (12,851–29,710)
MN Other 452 9.9 1.53 (7.2–13.3) 20,225 (13,889–26,561)
MS White 565 9.3 1.39 (6.9–12.4) 30,926 (21,710–40,143)
MS Black 534 14.0 1.96 (10.5–18.3) 42,772 (30,536–55,008)
MS Other 36 2.4 789
MO White 1,042 11.1 1.30 (8.7–13.9) 108,701 (82,920–134,482)
MO Black 146 19.5 4.63 (12.0–30.2) 39,055 (19,267–58,843)
MO Other 111 12.9 3.50 (7.5–21.5) 17,221 (7,950–26,493)
MT White 904 7.0 1.17 (5.1–9.7) 12,313 (8,248–16,378)
MT Black 14 7.1 145
MT Other 372 14.2 3.26 (8.9–21.9) 5,687 (2,949–8,426)
NE White 3,168 7.7 0.66 (6.5–9.1) 27,877 (23,127–32,627)
NE Black 87 19.4 5.49 (10.8–32.4) 6,040 (2,363–9,716)
NE Other 345 11.6 2.43 (7.6–17.2) 7,166 (4,065–10,267)
NV White 577 9.4 1.81 (6.4–13.6) 27,746 (16,889–38,603)
NV Black 43 11.6 6,224
NV Other 281 13.4 2.78 (8.8–19.9) 35,325 (20,202–50,448)
NJ White 990 9.8 1.25 (7.6–12.6) 105,292 (78,710–131,874)
NJ Black 258 23.6 3.79 (17.0–31.8) 72,657 (46,333–98,980)
NJ Other 251 9.2 2.21 (5.7–14.5) 37,543 (19,731–55,354)
NM White 971 14.0 1.53 (11.3–17.3) 50,146 (39,049–61,243)
NM Black 30 23.7 10.75 (8.9–49.9) 4,005 (0–8,246)
NM Other 299 10.5 2.10 (7.1–15.4) 9,162 (5,576–12,748)
NY White 1,776 12.5 1.41 (10.0–15.5) 301,126 (232,747–369,506)
NY Black 188 19.9 3.73 (13.6–28.2) 146,917 (89,081–204,752)
NY Other 230 13.5 3.06 (8.5–20.7) 81,859 (43,650–120,069)
OH White 1,982 9.2 0.83 (7.7–11.0) 165,909 (136,245–195,572)
OH Black 233 13.7 2.68 (9.2–19.8) 54,181 (32,250–76,111)
OH Other 172 17.3 4.05 (10.7–26.7) 46,181 (22,609–69,754)
OK White 816 11.2 1.28 (8.9–13.9) 60,913 (46,853–74,973)
OK Black 81 23.8 5.45 (14.8–36.1) 19,782 (9,930–29,634)
OK Other 282 16.2 2.62 (11.7–22.0) 41,684 (27,512–55,857)
OR White 885 10.5 1.11 (8.5–12.8) 65,933 (52,201–79,665)
OR Black 14 11.8 1,238
OR Other 137 12.7 3.25 (7.6–20.5) 18,013 (8,580–27,446)
PA White 1,135 11.9 1.14 (9.8–14.3) 213,862 (173,288–254,436)
PA Black 166 16.8 3.65 (10.8–25.2) 62,059 (33,176–90,942)
PA Other 141 10.9 2.82 (6.5–17.8) 35,639 (17,289–53,989)
RI White 870 12.9 1.54 (10.2–16.2) 18,029 (13,741–22,317)
RI Black 77 13.9 4.75 (6.9–26.0) 3,029 (849–5,208)
RI Other 142 20.7 4.64 (13.1–31.3) 6,506 (3,282–9,730)
UT White 3,119 8.3 0.61 (7.2–9.6) 62,209 (53,139–71,280)
UT Black 38 15.7 6.78 (6.4–33.7) 1,654 (173–3,136)
UT Other 269 11.2 2.31 (7.4–16.5) 11,040 (6,383–15,697)
VT White 1,161 12.3 1.43 (9.8–15.4) 12,367 (9,434–15,299)
VT Black 19 26.0 579
VT Other 75 18.6 8.29 (7.3–40.1) 1,560 (0–3,166)
WA White 2,227 10.0 0.78 (8.6–11.6) 103,134 (87,131–119,136)
WA Black 91 22.3 5.59 (13.2–35.1) 18,785 (8,605–28,966)
WA Other 558 12.3 1.73 (9.3–16.1) 51,894 (36,710–67,077)
WI White 877 8.7 1.26 (6.5–11.5) 82,804 (58,674–106,933)
WI Black 67 19.7 7.45 (8.9–38.2) 17,784 (3,007–32,562)
WI Other 82 25.0 6.21 (14.8–39.0) 42,634 (18,897–66,370)
Territory
PR White 772 22.2 2.21 (18.2–26.9) 121,409 (95,586–147,231)
PR Black 79 16.7 4.69 (9.4–28.0) 6,723 (2,898–10,548)
PR Other 310 30.1 3.44 (23.8–37.2) 59,586 (44,282–74,891)

Notes:
* CI denotes confidence interval.
** Total includes data from 31 states based on cellphone and landline data combined 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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