2004: America's Asthma 'Hot Spots'
Identified
The U.S. Asthma Capitals™
rankings are identified each year by the Asthma and Allergy
Foundation of America as part of our ongoing public awareness
campaign about asthma. These rankings indicate the worst cities in
America for people with asthma, based on 15 individual factors
measured and compared each year, including:
Risk Factors, such as air
quality, smoking laws and inhaler access laws; and,
Medical Factors: such as
number of prescriptions and asthma specialists per capita.
F rom
Knoxville
to
San
Francisco,
asthma has a significant impact on every major city in the
United
States,
yet most people are not aware of the most common form of asthma –
allergic asthma. To educate the public about allergic asthma
this year,
AAFA
has joined with the
American Academy of Allergy Asthma and
Immunology (AAAAI)
to develop a new
educational campaign, “Is Your Asthma Allergic? Know Your IgE.”
More than 20 million
Americans suffer from asthma, and 12 million have allergic
asthma.
Yet, awareness of this disease remains low; in fact, a recent
survey showed that only 37% of asthma sufferers surveyed had heard
of allergic asthma. To enable asthma patients to better
recognize whether or not they may suffer from allergic asthma,
AAAAI has created a simple self-screener, available at
www.aaaai.org/allergicasthma
|
2004
Ranking |
Metropolitan Area |
Total
Score |
Subtotal:
Prevalence
Factors |
Subtotal:
Risk
Factors |
Subtotal:
Medical
Factors |
|
1 |
Knoxville, TN |
100.00 |
90.29 |
90.35 |
100.00 |
|
2 |
Little
Rock, AR |
87.02 |
100.00 |
92.26 |
61.90 |
|
3 |
St.
Louis, MO |
86.37 |
93.91 |
100.00 |
64.72 |
|
4 |
Madison, WI |
83.32 |
90.50 |
62.93 |
84.93 |
|
5 |
Louisville, KY |
82.32 |
88.86 |
87.16 |
68.20 |
|
6 |
Memphis, TN |
82.13 |
98.25 |
81.96 |
55.39 |
|
7 |
Toledo,
OH |
82.08 |
89.74 |
61.68 |
82.91 |
|
8 |
Kansas
City, MO |
81.96 |
90.77 |
88.72 |
62.76 |
|
9 |
Nashville, TN |
81.69 |
90.68 |
78.75 |
68.69 |
|
10 |
Hartford, CT |
81.67 |
92.45 |
57.88 |
79.57 |
|
11 |
Buffalo-Niagra Fall, NY |
81.53 |
90.84 |
65.15 |
76.92 |
|
12 |
Johnson
City, TN |
81.51 |
91.72 |
56.27 |
81.32 |
| |
Allentown-Bethlehem-Easton, PA |
81.51 |
87.98 |
86.91 |
67.11 |
|
14 |
Springfield, MA |
80.99 |
91.34 |
65.93 |
73.79 |
|
15 |
Pittsburgh, PA |
80.97 |
89.80 |
87.42 |
61.95 |
|
16 |
Milwaukee-Waukesha, WI |
80.68 |
93.62 |
51.86 |
78.32 |
|
17 |
Chattanooga, TN |
80.39 |
90.64 |
58.89 |
77.62 |
|
18 |
Detroit, MI |
80.23 |
94.11 |
62.56 |
68.87 |
|
19 |
Dayton-Springfield, OH |
80.04 |
91.82 |
66.61 |
69.34 |
|
20 |
Indianapolis, IN |
79.71 |
86.43 |
76.37 |
70.74 |
|
21 |
Columbus, OH |
79.70 |
89.61 |
74.51 |
66.64 |
|
22 |
Fresno,
CA |
79.60 |
87.24 |
72.38 |
71.68 |
|
23 |
Wichita, KS |
79.42 |
88.54 |
68.00 |
71.82 |
|
24 |
Harrisburg-Lebanon-Carlisle, PA |
78.96 |
89.99 |
75.82 |
62.68 |
|
25 |
Lexington, KY |
78.95 |
90.50 |
56.28 |
74.79 |
|
26 |
Albany-Schenedtady-Troy,
NY |
78.95 |
89.67 |
50.08 |
79.89 |
|
27 |
Philadelphia, PA |
78.45 |
91.34 |
61.14 |
68.52 |
|
28 |
Greensboro-Winston Salem-High Point, NC |
78.26 |
88.37 |
87.02 |
55.57 |
|
29 |
Oklahoma City, OK |
78.12 |
90.09 |
67.24 |
65.42 |
|
30 |
Syracuse, NY |
78.03 |
90.84 |
49.81 |
75.48 |
|
31 |
Lansing-East Lansing, MI |
77.88 |
92.68 |
57.02 |
67.13 |
|
32 |
Scranton-Wilkes Barre-Hazleton, PA |
77.85 |
89.99 |
66.16 |
65.41 |
| |
New
York, NY |
77.85 |
89.26 |
70.74 |
63.58 |
|
34 |
Columbia, SC |
77.65 |
89.63 |
84.87 |
52.87 |
|
35 |
Grand
Rapids-Muskegon-Holland, MI |
77.56 |
92.94 |
66.21 |
59.50 |
|
36 |
Birmingham, AL |
77.36 |
94.45 |
71.69 |
52.65 |
|
37 |
Jackson, MS |
77.31 |
98.12 |
66.82 |
49.62 |
| |
Omaha,
NE |
77.31 |
90.06 |
66.57 |
63.21 |
|
39 |
Minneapolis-St. Paul, MN-WI |
77.30 |
90.12 |
71.05 |
60.10 |
|
40 |
Kalamazoo-Battle Creek, MI |
77.26 |
94.06 |
54.90 |
64.18 |
|
41 |
Tusla,
OK |
77.24 |
89.83 |
74.03 |
58.39 |
|
42 |
Cincinnati, OH |
77.10 |
90.74 |
74.70 |
55.96 |
|
43 |
Des
Moines, IA |
77.03 |
85.70 |
59.73 |
74.12 |
|
44 |
Baltimore, MD |
77.01 |
96.05 |
61.03 |
55.93 |
|
45 |
Phoenix-Mesa, AZ |
76.80 |
87.99 |
80.27 |
55.84 |
|
46 |
Charlotte-Gastonia-Rock Hill, NC-SC |
76.71 |
89.00 |
83.63 |
51.61 |
|
47 |
Atlanta, GA |
76.56 |
91.39 |
76.12 |
52.13 |
|
48 |
Canton-Massillon, OH |
76.46 |
90.54 |
67.20 |
59.16 |
|
49 |
Raleigh-Durham-Chapel Hill, NC |
76.44 |
87.98 |
71.65 |
60.40 |
|
50 |
Washington, DC |
76.18 |
99.83 |
64.40 |
44.63 |
2004
Ranking |
Metropolitan Area |
Total
Score |
Subtotal: Prevalence
Factors |
Subtotal:
Risk
Factors |
Subtotal:
Medical
Factors |
| 51 |
Cleveland-Lorain-Elyria, OH |
76.17 |
89.78 |
64.40 |
44.63 |
|
52 |
Richmond-Petersburg,VA |
75.95 |
91.48 |
70.17 |
53.94 |
|
53 |
Albuquerque, NM |
75.74 |
88.15 |
75.66 |
55.10 |
|
54 |
Greenville-Spartanburg-Anderson, SC |
75.58 |
89.63 |
70.13 |
55.80 |
|
55 |
Rochester, NY |
75.50 |
90.84 |
49.37 |
67.37 |
|
56 |
Chicago, IL |
75.27 |
93.10 |
60.19 |
55.59 |
|
57 |
Youngstown-Warren, OH |
75.14 |
90.54 |
69.12 |
53.48 |
|
58 |
Fort
Wayne, IN |
74.63 |
86.17 |
63.13 |
63.05 |
|
59 |
Boston,
MA |
74.49 |
86.71 |
50.10 |
70.38 |
|
60 |
Augusta-Aiken, GA |
74.44 |
91.13 |
66.25 |
52.09 |
|
61 |
Bakersfield, CA |
74.40 |
87.76 |
84.14 |
45.65 |
|
62 |
Tuscon,
AZ |
74.28 |
87.02 |
65.03 |
59.21 |
|
63 |
Las
Vegas, NV |
73.76 |
85.72 |
77.51 |
51.32 |
|
64 |
Charleston-North Charleston, SC |
73.70 |
89.63 |
70.15 |
49.53 |
|
65 |
Modesto, CA |
73.26 |
87.59 |
56.44 |
59.72 |
|
66 |
Mobile,
AL |
73.09 |
93.80 |
67.56 |
42.25 |
|
67 |
Lancaster, PA |
72.91 |
89.99 |
53.86 |
57.15 |
|
68 |
Spokane, WA |
72.08 |
87.59 |
56.44 |
56.65 |
|
69 |
Baton
Rouge, LA |
71.78 |
92.25 |
73.94 |
36.22 |
|
70 |
New
Orleans, LA |
71.09 |
93.42 |
53.11 |
45.87 |
|
71 |
Orlando, FL |
70.95 |
86.94 |
59.85 |
51.72 |
|
72 |
Dallas-Fort Worth, TX |
70.91 |
85.07 |
66.99 |
49.91 |
|
73 |
Denver,
CO |
70.65 |
85.76 |
70.56 |
45.52 |
|
74 |
Salt
Lake City-Ogden, UT |
70.19 |
86.39 |
74.08 |
40.59 |
|
75 |
Colorado Springs, CO |
69.99 |
88.62 |
61.79 |
44.40 |
|
76 |
Tampa-St. Petersburg-Clearwater, FL |
69.43 |
86.09 |
48.78 |
55.44 |
|
77 |
Norfolk-Virginia Beach-Newport News, VA |
69.29 |
90.48 |
57.65 |
41.73 |
|
78 |
Jacksonville, FL |
69.19 |
88.50 |
51.28 |
48.95 |
|
79 |
Sacramento, CA |
69.11 |
85.81 |
55.47 |
50.35 |
|
80 |
Austin-San Marcos, TX |
68.80 |
84.16 |
62.87 |
47.15 |
|
81 |
San
Antonio, TX |
68.54 |
85.33 |
59.92 |
46.31 |
|
82 |
Stockton-Lodi, CA |
68.39 |
87.24 |
39.87 |
55.98 |
|
83 |
Boise
City, ID |
67.73 |
85.66 |
52.69 |
47.87 |
|
84 |
Providence, RI |
67.37 |
85.93 |
26.85 |
63.44 |
|
85 |
Los
Angles-Long Beach, CA |
67.08 |
85.70 |
66.37 |
36.51 |
|
86 |
Mcallen-Edinburg-Mission, TX |
66.85 |
85.83 |
49.60 |
46.72 |
|
87 |
El
Paso, TX |
66.60 |
86.76 |
65.79 |
33.53 |
|
88 |
Sarasota-Bradenton, FL |
66.38 |
86.93 |
45.88 |
45.80 |
|
89 |
Pensacola, FL |
66.17 |
86.93 |
45.98 |
45.04 |
|
90 |
Fort
Meyers-Cape Coral, FL |
66.15 |
86.93 |
35.07 |
52.25 |
|
91 |
Houston-Galveston-Brazoria, TX |
65.79 |
85.20 |
56.49 |
39.63 |
|
92 |
San
Diego, CA |
65.65 |
84.77 |
61.33 |
36.66 |
|
93 |
Lakeland-Winter Haven, FL |
64.99 |
86.93 |
32.89 |
49.84 |
|
94 |
Melbourne-Titusville-Palm Bay, FL |
64.39 |
86.93 |
31.05 |
49.04 |
|
95 |
Seattle-Bellevue-Everett, WA |
64.09 |
86.23 |
33.85 |
47.34 |
|
96 |
Portland, OR |
63.85 |
87.95 |
32.27 |
44.74 |
|
97 |
West
Palm Beach-Boca Raton, FL |
62.81 |
86.93 |
26.75 |
46.65 |
|
98 |
Daytona
Beach, FL |
62.78 |
86.93 |
34.801 |
41.20 |
|
99 |
Miami,
FL |
62.58 |
85.51 |
30.49 |
45.77 |
|
100 |
San
Fransisco-Oakland-San Jose, CA |
61.61 |
84.12 |
39.95 |
38.55 |
© 2004 - Asthma and Allergy
Foundation of America
Methodology:
Rankings for the Asthma Capitals™ are based on analysis of data
from 15 individual factors in 3 primary groups -- Prevalence
Factors, Risk Factors and Medical Factors – for the 100 largest
U.S. metropolitan areas.
Prevalence
Factors: Quantitative city and state outcomes data including
morbidity and mortality for the most recent 12-month period from
government and industry sources, including: estimated asthma
prevalence, self-reported prevalence and annual crude death rate
for asthma.
Risk Factors: Qualitative
and quantitative city, county and state environmental and legal
data for the most recent 12-month period from government and
industry sources, including: comprehensive annual pollen
measurements, average annual outdoor temperature, annual outdoor
air quality, poverty rate, uninsured rate, inhaler access laws and
public smoking laws.
Medical
Factors: Quantitative city and state medical data for the
most recent 12-month period from government and industry sources,
including: number of asthma rescue and controller medication
prescriptions per patient, and number of Board Certified allergy,
immunology, pulmonology and asthma specialists per capita.
Weights were
applied to each factor in consultation with medical and research
experts reflecting the relative importance of each factor’s effect
on asthma sufferers.
Final total scores and factor subtotals were rescaled assigning
100 points to the largest score and presenting all other scores as
a percentage of the largest.
The metro area with a total score of 100 points did not
necessarily have the “most severe” score for every factor, but
rather, it achieved the highest composite score after all subtotal
scores were weighted, tabulate and compared.
|