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

2005 American Community Survey State Rankings

Old-Age Dependency Ratio of the Total Population: 2005

Universe: Total population

The old-age dependency ratio is derived by dividing the population 65 and over by the 18-to-64 population and multiplying by 100.

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

Rank State Ratio Margin of Error
1 Florida 27.6 +/-0.1
2 West Virginia 23.7 +/-0.1
3 Pennsylvania 23.6 +/-0.1
4 Iowa 22.4 +/-0.1
5 North Dakota 22.3 +/-0.2
6 South Dakota 22 +/-0.2
7 Hawaii 21.9 +/-0.1
7 Maine 21.9 +/-0.1
9 Arkansas 21.8 +/-0.1
10 Rhode Island 21.6 +/-0.2
11 Arizona 20.9 +/-0.1
11 Connecticut 20.9 +/-0.1
13 Delaware 20.7 +/-0.2
13 Montana 20.7 +/-0.2
15 Alabama 20.6 +/-0.1
15 Nebraska 20.6 +/-0.1
15 Oklahoma 20.6 +/-0.1
18 Ohio 20.5 +/-0.1
19 Missouri 20.4 +/-0.1
20 Massachusetts 20.2 +/-0.1
20 New Jersey 20.2 +/-0.1
20 New York 20.2 +/-0.1
23 Kansas 19.9 +/-0.1
24 Wisconsin 19.8 +/-0.1
25 Oregon 19.7 +/-0.1
26 Vermont 19.6 +/-0.1
27 South Carolina 19.5 +/-0.1
28 Michigan 19.4 +/-0.1
28 Mississippi 19.4 +/-0.1
28 New Mexico 19.4 +/-0.2
  United States 19.3 +/-0.1
31 Indiana 19.3 +/-0.1
32 Kentucky 19.2 +/-0.1
33 Tennessee 19.1 +/-0.1
34 North Carolina 18.6 +/-0.1
35 Illinois 18.5 +/-0.1
35 New Hampshire 18.5 +/-0.1
37 District of Columbia 18.3 +/-0.2
37 Wyoming 18.3 +/-0.3
39 Idaho 18.1 +/-0.2
39 Louisiana 18.1 +/-0.1
39 Minnesota 18.1 +/-0.1
42 Nevada 17.9 +/-0.1
43 Maryland 17.6 +/-0.1
44 Virginia 17.5 +/-0.1
45 Washington 17.2 +/-0.1
46 California 16.9 +/-0.1
47 Texas 15.5 +/-0.1
48 Colorado 15 +/-0.1
49 Georgia 14.3 +/-0.1
50 Utah 13.9 +/-0.1
51 Alaska 10.2 +/-0.3

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.