United States and States - R0201. Percent of Population Who Are White Alone

United States and States

R0201. Percent of the Total Population Who Are White Alone: 2005
Universe: Total population

Data Set: 2005 American Community Survey
Survey: American Community Survey, Puerto Rico Community Survey

NOTE. Data are limited to the household population and exclude the population living in institutions, college dormitories, and other group quarters. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.

Rank	State	Percent	Margin of Error
1	Maine	96.6	+/-0.1
1	Vermont	96.6	+/-0.1
3	New Hampshire	95.5	+/-0.2
4	West Virginia	95.0	+/-0.1
5	Iowa	93.5	+/-0.2
6	Wyoming	92.4	+/-0.5
7	Idaho	91.8	+/-0.4
8	North Dakota	91.5	+/-0.1
9	Montana	90.6	+/-0.2
10	Kentucky	89.9	+/-0.1
11	Utah	89.8	+/-0.4
12	Nebraska	89.6	+/-0.2
13	Wisconsin	88.1	+/-0.1
14	Minnesota	88.0	+/-0.2
14	South Dakota	88.0	+/-0.2
16	Oregon	86.8	+/-0.3
17	Indiana	86.1	+/-0.2
18	Kansas	85.2	+/-0.3
19	Pennsylvania	84.6	+/-0.1
20	Missouri	84.5	+/-0.1
21	Ohio	84.3	+/-0.1
22	Colorado	83.5	+/-0.4
23	Massachusetts	83.4	+/-0.3
24	Rhode Island	82.9	+/-0.7
25	Connecticut	81.2	+/-0.3
25	Washington	81.2	+/-0.2
27	Michigan	80.0	+/-0.1
28	Tennessee	79.6	+/-0.1
29	Arkansas	79.0	+/-0.3
30	Florida	76.8	+/-0.1
31	Arizona	76.2	+/-0.4
32	Nevada	76.1	+/-0.6
33	Oklahoma	75.4	+/-0.2
	United States	74.7	+/-0.1
34	Delaware	73.6	+/-0.4
35	Illinois	72.2	+/-0.2
36	Texas	71.9	+/-0.2
37	Virginia	71.7	+/-0.2
38	North Carolina	71.4	+/-0.2
39	Alabama	71.0	+/-0.1
40	New Jersey	69.9	+/-0.2
41	New Mexico	69.5	+/-0.7
42	Alaska	69.2	+/-0.4
43	South Carolina	67.4	+/-0.1
44	New York	67.1	+/-0.2
45	Louisiana	63.7	+/-0.1
46	Georgia	62.5	+/-0.2
47	Maryland	61.5	+/-0.2
48	California	60.9	+/-0.2
49	Mississippi	60.8	+/-0.1
50	District of Columbia	32.4	+/-0.6
51	Hawaii	24.9	+/-0.3



	Puerto Rico	76.4	+/-0.5

Rank	State	Percent	Margin of Error

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 (for a discussion of nonsampling variability, see Accuracy of the Data). 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.

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