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Welcome to OWN - Oklahoma Wage Network (updated January 2015)
Wage and employment estimates for the State, the Balance of State (BOS), Metropolitan Statistical Areas (MSA), Workforce Investments Areas, and Local Labor Market Areas may be accessed using the Oklahoma Wage Network (OWN). OWN is an interactive web service that allows the user to view a wide range of data, including employment estimates (where available).
A data user can view more detailed information about an occupation by clicking on the occupation. Examples are the Standard Occupational Classification (SOC) code and definition, median wage history and ranges, and a breakdown of the top areas for that particular occupation in the state.
Occupational Wage Network represents May 2013 estimates based on responses from six semiannual panels collected over a 3-year period: May 2013, November 2012, May 2012, November 2011, May 2011, and November 2010. The data have been updated using ECI (Employment Cost Index) factors.
To enter the system, please click on OWN.
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 the Oklahoma Employment Security Commission's data.
The following technical notes should be able to guide users through the new Oklahoma Wage Network. If you have questions or if you cannot find an answer to your question here, please feel free to contact us. You may reach us via e-mail at email@example.com or by phone at (405) 557-5387.
Once you have selected a geographic area, click on that label and you will be presented with a screen that shows the first occupations available for that geographic area. Occupations are arrayed in alphabetical order by its Standard Occupational Classification (SOC) major group. For more information on the Standard Occupational Classification coding system, please following this link to the Bureau of Labor statistics: http://www.bls.gov/soc/home.htm.
The Major Groups are list below with the exception of 55-0000 Military Occupation. Currently we do not collect data for this major group.
11-0000 Management Occupations
Data for each occupation will be listed in two parts: the first is the annual wage and the second is for hourly wages. There are a few occupations for which no hourly data is available (typically, these are workers in the musical or entertainment industries, teachers, pilots and flight attendants.)
Each occupation has the following categories: Occ. Code, est. empl., mean wage, mean % RSE, 10th pct, 25th pct, median wage, 75th pct, and 90th pct.
Each category is defined below:
Occ. Code: This is the Standard Occupational Classification code for that occupation.
Est. Empl.: This is the estimate of employment for that occupation based upon the sample; it is not the employment collected from the survey itself. The OES survey defines employment as the number of workers who can be classified as full-time or part-time employees, including workers on paid vacations or other types of leave; workers on unpaid short-term absences; salaried officers, executives, and staff members of incorporated firms; employees temporarily assigned to other units; and employees for whom the reporting unit is their permanent duty station regardless of whether that unit prepares their paycheck. The survey excludes the self-employed, owners/partners of unincorporated firms, and unpaid family workers. Employees are reported in the occupation in which they are working, not necessarily for which they were trained.
Mean Wage: the estimated total wages for an occupation divided by its weighted survey employment.
Mean % RSE: Statistics based on establishment surveys are subject to both sampling and nonsampling error. When a sample of the population is surveyed, there is a chance that the sample estimate of a characteristic may differ from the population value of that characteristic. The difference between the sample estimate and the population value will vary depending on the particular sample selected. This variability is measured by the sampling error (SE). If we were to repeat the sampling and estimation process using the same survey design, 90 percent of the intervals from the sample estimate minus 1.6 SE to the sample estimate plus 1.6 SE would include the population value. This interval is called a 90 percent confidence interval. The OES survey produces estimates of the relative standard error (RSE). The RSE is defined as the SE divided by the estimated value as computed from the sample. This statistic provides the user with a measure of the relative precision of the sample estimates. 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. Mean Wage 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.
25th Pct: Hourly/annual wages of the 25th percentile.
50th Pct (Median wage): Known as the “middle” number, the median is the boundary between the highest 50% and lowest 50% paid in that occupation.
75th Pct: Hourly/annual wages of the 75th percentile.
90th Pct: Hourly/annual wages of the 50th percentile.
The area profile is an additional page that the user can reference by clicking on the occupation of interest. This page contains comparison information for that occupation in the area in which they are located as well as comparison with other areas across the state.
The page is divided into three components: the navigation component, the area component, and the state component.
Navigation component: this part is at the very top of the page and allows the user to move from area to area and/or from occupation to occupation. Please note, this function only works by areas of similar definition so that someone can move from MSA to MSA or LLMA to LLMA but not from an MSA to a LLMA.
Area component: On the left side of the screen, the wage and employment data is for the area in which the wage search is being conducted. There are several items of interest:
• Top employing industries in the area for that occupation,
On the right side of the screen, you will see these items for the area:
• Standard Occupational Classification definition and code,
State component: On the lower right side of the screen, the user will see a chart that compares that area’s occupation to the top five employing areas for that occupation and the top five best paying areas for that occupation in the state. This will allow the user to see other areas at a glance.
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.
Oklahoma Wage Data in Excel Format
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 3-year period: May 2013, November 2012, May 2012, November 2011, May 2011, and November 2010. The data are not updated using ECI factors.
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