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Oklahoma Wage Data in Excel Format Updated October 2014
Wage and employment estimates in the Excel file for the State, the Balance of State (BOS), and Metropolitan Statistical Areas (MSA) are from the Occupational Employment Statistics (OES) program and are official BLS data series. Wage and employment estimates in the Excel file for Workforce Investments Areas (WIA) and Local Labor Market Areas (LLMA) are from Estimates Delivery System (EDS), which is known as the Oklahoma Wage Network (OWN).
The wages in the file represent May 2013 estimates based on responses from six semiannual panels collected over a three-year period: May 2013, November 2012, May 2012, November 2011, May 2011, and November 2010.
Bureau of Labor Statistics Non-Standard Products Disclaimer: The Oklahoma Employment Security Commission has provided several extensions to the official OES data series (which have been developed in cooperation with the Bureau of Labor Statistics). These additional products have not been validated by the Bureau of Labor Statistics and are not, therefore, official BLS data series. The Oklahoma Employment Security Commission feels, though, that they provide additional information that is useful to the users of OESC's data.
The Major Groups are listed below with the exception of 55-0000 Military Occupation. We do not currently collect data for this major group.
11-0000 Management Occupations
13-0000 Business and Financial Operations Occupations
15-0000 Computer and Mathematical Occupations
17-0000 Architecture and Engineering Occupations
19-0000 Life, Physical, and Social Service Occupations
21-0000 Community and Social Service Occupations
23-0000 Legal Occupations
25-0000 Education, Training, and Library Occupations
27-0000 Arts, Design, Entertainment, Sports, and Media Occupations
29-0000 Healthcare Practitioner and Technical Occupations
31-0000 Healthcare Support Occupations
33-0000 Protective Service Occupations
35-0000 Food Preparation and Serving Related Occupations
37-0000 Building and Grounds Cleaning and Maintenance Occupations
39-0000 Personal Care and Service Occupations
41-0000 Sales and Related Occupations
43-0000 Office and Administrative Support Occupations
45-0000 Fa rming, Fishing, and Forestry Occupations
47-0000 Construction and Extraction Occupations
49-0000 Installation, Maintenance, and Repair Occupations
51-0000 Production Occupations
53-0000 Transportation and Material Moving Occupations
55-0000 Military Specific Occupations
The Occupational Employment and Wage Estimates consist of the following:
SOC Code Number: The Standard Occupational Classification (SOC) system's unique, six-digit (plus hyphen) numerical identifier for each occupation. When the SOC code is a link, clicking on it leads to a page that contains the occupational definition and national cross-industry estimates.
Occupation Title: A descriptive title that corresponds to the SOC code.
Employment: The estimated total occupational employment (not including self-employed).
Employment RSE: The Relative Standard Error of the employment estimate, a measure of the reliability or precision of the employment estimate. The relative standard error is defined as the ratio of the standard error to the survey estimate. For example, a relative standard error of 10 percent implies that the standard error is one-tenth as large as the survey estimate.
Median Wage: The estimated 50th percentile of the distribution of wages based on data collected from employers in all industries; 50 percent of workers in an occupation earn less than the median wage, and 50 percent earn more than the median wage.
Mean Wage: The estimated total wages of an occupation divided by its estimated employment, i.e., the average wage.
Mean RSE: The relative standard error of the mean wage estimates, a measure of the reliability or precision of the mean wage estimates. The relative standard error is defined as the ratio of the standard error to the survey estimate. For example, a relative standard error of 10 percent implies that the standard error is one-tenth as large as the survey estimate.
Percentile Wage Estimates: A percentile wage estimate shows what percentage of workers in an occupation earn less than a given wage and what percentage earn more. For example, a 25th percentile wage of $15.00 indicates that 25 percent of workers (in a given occupation in a given area) earn less than $15.00; therefore 75 percent of workers earn more than $15.00.
Wages for the OES survey are straight-time, gross pay, exclusive of premium pay. Base rate; cost-of-living allowances; guaranteed pay; hazardous-duty pay; incentive pay, including commissions and production bonuses; and tips are included. Excluded are overtime pay, severance pay, shift differentials, nonproduction bonuses, employer cost for supplementary benefits, and tuition reimbursements.
OES receives wage rate data for the federal government, the U.S. Postal Service, and some state governments. For the remaining establishments, the OES survey collects wage data in 12 intervals. For each occupation, respondents are asked to report the number of employees paid within specific wage intervals. The intervals are defined both as hourly rates and the corresponding annual rates, where the annual rate for an occupation is calculated by multiplying the hourly wage rate by a typical work year of 2,080 hours. The responding establishments are instructed to report the hourly rate for part- time workers, and to report annual rates for occupations that are typically paid at an annual rate but do not work 2,080 hours per year, such as teachers, pilots, and flight attendants. Other workers, such as some entertainment workers, are paid hourly rates, but generally do not work 40 hours per week, year round. For these workers, only an hourly wage is reported.
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