Occupational Employment and Wages: Total all industries in Workforce Investment Area 2

Comparative Occupational Wages 2009 (4th Quarter)
Research, Information and Analysis
WORKFORCE West Virignia
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Total all industries

Workforce Investment Area 2

Legal Occupations

Occupation Occ. code Est. empl. Empl %RSE Mean wage Mean %RSE Entry wage Exp. wage 10th pct 25th pct Median wage 75th pct 90th pct

LEGAL OCCUPATIONS 23-0000 810 5.80 53,801 3.00 29,230 66,086 27,492 32,522 43,860 71,757 94,387

25.87 14.06 31.78 13.22 15.63 21.09 34.50 45.38

Lawyers 23-1011 290 9.70 76,162 3.38 53,892 87,298 50,276 60,530 73,926 86,738 105,524

36.62 25.91 41.97 24.17 29.11 35.54 41.70 50.74

Judges, Magistrate Judges, and Magistrates 23-1023 60 19.02 54,978 2.87 25,416 69,759 26,138 30,434 45,185 73,797 115,806

26.43 12.22 33.54 12.57 14.63 21.72 35.48 55.67

Paralegals and Legal Assistants 23-2011 400 9.64 35,123 2.79 27,102 39,133 24,748 28,691 32,999 38,904 45,112

16.88 13.03 18.82 11.90 13.79 15.87 18.70 21.69

Title Examiners, Abstractors, and Searchers 23-2093 n/a 78.17 31,490 12.54 21,215 36,628 19,152 21,649 31,771 39,138 43,226

15.14 10.20 17.61 9.20 10.41 15.27 18.82 20.78

Legal Support Workers, All Other 23-2099 20 24.77 43,776 2.24 36,877 47,226 35,218 38,686 43,908 49,122 52,276

21.05 17.73 22.71 16.93 18.60 21.11 23.62 25.13

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NOTES

'Current' denotes 4th Quarter 2009. Wages are base year 2008, aged forward using the Employment Cost Index.

Entry Wage: Average of the lowest 1/3 employed.

Experienced Wage: Average of the highest 2/3 employed.

Data for detailed occupations does not sum to the totals because the totals include data for occupations not shown separately. Estimates do not include self-employed workers.

Annual wages have been calculated by multiplying the hourly mean wage by a "year-round, full-time" hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.

The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

Hourly wage rates for occupations where workers typically work fewer than 2,080 hours per year are not available.