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2005 American Community Survey > State Rankings > People 65 Years & Over With a Disability

2005 American Community Survey State Rankings

Percent of People 65 Years and Over With a Disability: 2005

Universe: Civilian noninstitutionalized population 65 years and over

NOTE. Data are limited to the household population and exclude the population living in institutions, college dormitories, and other group quarters.

Rank State Percent Margin of Error
1 Mississippi 54.3 +/-1.3
2 West Virginia 49.9 +/-1.3
3 Arkansas 49 +/-1.0
4 Kentucky 48.6 +/-1.0
5 Alabama 47.8 +/-0.9
6 Alaska 47.3 +/-3.4
7 Oklahoma 47 +/-0.9
8 Louisiana 46.6 +/-1.1
9 Tennessee 46.1 +/-0.9
10 Texas 44.3 +/-0.4
11 Idaho 44.2 +/-1.9
12 Georgia 44 +/-0.8
12 New Mexico 44 +/-1.6
14 Missouri 43.3 +/-0.7
15 North Carolina 43 +/-0.7
16 South Carolina 42.9 +/-1.1
17 Montana 42.3 +/-1.7
18 Oregon 41.7 +/-0.9
19 Washington 41.4 +/-0.9
20 Wyoming 41 +/-2.8
21 Indiana 40.9 +/-0.8
22 Michigan 40.6 +/-0.7
22 North Dakota 40.6 +/-2.0
  United States 40.5 +/-0.1
24 Kansas 40.4 +/-1.2
25 California 40 +/-0.4
25 Ohio 40 +/-0.6
25 Vermont 40 +/-2.1
25 Virginia 40 +/-0.7
29 Rhode Island 39.2 +/-2.2
29 South Dakota 39.2 +/-2.1
31 Pennsylvania 39 +/-0.6
32 New York 38.8 +/-0.5
33 Nebraska 38.6 +/-1.2
34 Maine 38.5 +/-1.5
35 Illinois 38.4 +/-0.7
35 Utah 38.4 +/-1.4
37 Florida 37.6 +/-0.4
38 District of Columbia 37.4 +/-3.1
39 Massachusetts 37.3 +/-1.0
40 New Hampshire 37.2 +/-1.9
41 Colorado 37.1 +/-0.9
41 Maryland 37.1 +/-1.0
43 Iowa 36.9 +/-0.9
44 Arizona 36.3 +/-0.9
45 Hawaii 36.1 +/-2.0
45 New Jersey 36.1 +/-0.7
47 Delaware 35.7 +/-2.1
48 Wisconsin 35.6 +/-0.6
49 Nevada 35.5 +/-1.5
50 Minnesota 35.4 +/-0.9
51 Connecticut 35.1 +/-1.1

Source: U.S. Census Bureau, 2005 American Community Survey.

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error. The effect of nonsampling error is not represented in these tables.

Explanation of Symbols:

1. An '*' entry in the margin of error column indicates that too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

2. An '**' entry in the margin of error column indicates that no sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

3. An '-' entry in the estimate column indicates that no sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.

4. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution.

5. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution.

6. An '***' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.

7. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.

8. An 'N' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.

9. An '(X)' means that the estimate is not applicable or not available.