United States and States - R2404. Percent of Civilian Employed Population in the Manufacturing Industry

United States and States

R2404. Percent of Civilian Employed Population 16 Years and Over in the Manufacturing Industry: 2006
Universe: Civilian employed population 16 years and over

Data Set: 2006 American Community Survey
Survey: American Community Survey, Puerto Rico Community Survey

NOTE. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology.

Rank	State	Percent	Margin of Error
1	Indiana	20.7	+/-0.3
2	Wisconsin	19.4	+/-0.3
3	Michigan	18.9	+/-0.3
4	Ohio	17.0	+/-0.2
5	Arkansas	16.3	+/-0.5
6	Iowa	15.7	+/-0.3
7	Alabama	15.6	+/-0.4
7	South Carolina	15.6	+/-0.4
9	Tennessee	15.4	+/-0.3
10	Mississippi	15.3	+/-0.6
11	Minnesota	14.6	+/-0.3
12	Kentucky	14.4	+/-0.4
13	North Carolina	14.3	+/-0.3
14	Kansas	13.7	+/-0.5
14	New Hampshire	13.7	+/-0.5
16	Illinois	13.6	+/-0.2
17	Pennsylvania	13.4	+/-0.2
18	Oregon	12.7	+/-0.4
19	Missouri	12.5	+/-0.3
20	Connecticut	12.1	+/-0.4
21	Rhode Island	11.9	+/-0.8
21	Vermont	11.9	+/-0.7
23	Georgia	11.8	+/-0.3
24	Nebraska	11.7	+/-0.5
	United States	11.6	+/-0.1
25	Idaho	11.1	+/-0.7
26	Washington	11.0	+/-0.3
27	Oklahoma	10.9	+/-0.4
27	Utah	10.9	+/-0.5
29	California	10.7	+/-0.1
30	Massachusetts	10.5	+/-0.3
30	South Dakota	10.5	+/-0.8
32	Maine	10.3	+/-0.5
33	Texas	10.1	+/-0.2
34	New Jersey	9.7	+/-0.3
35	West Virginia	9.5	+/-0.5
36	Delaware	9.3	+/-0.7
37	Virginia	8.7	+/-0.2
38	Louisiana	8.6	+/-0.4
39	Arizona	7.9	+/-0.3
40	North Dakota	7.7	+/-0.6
41	New York	7.6	+/-0.2
42	Colorado	7.3	+/-0.2
43	Florida	5.9	+/-0.1
44	Maryland	5.4	+/-0.2
45	New Mexico	5.3	+/-0.5
46	Wyoming	5.2	+/-0.7
47	Montana	5.0	+/-0.5
48	Nevada	4.6	+/-0.3
49	Alaska	3.9	+/-0.5
50	Hawaii	2.8	+/-0.4
51	District of Columbia	1.2	+/-0.4



	Puerto Rico	10.5	+/-0.4

Rank	State	Percent	Margin of Error

Source: U.S. Census Bureau, 2006 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 either no sample observations or 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 estimate column indicates that either no sample observations or too few 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.
3. An '-' following a median estimate means the median falls in the lowest interval of an open-ended distribution.
4. An '+' following a median estimate means the median falls in the upper interval of an open-ended distribution.
5. 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.
6. An '*****' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.
7. 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.
8. An '(X)' means that the estimate is not applicable or not available.

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