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Labor Market Statistics - Occupational Employment Statistics

Welcome to OWN - Oklahoma Wage Network Updated April 2017


Wage and employment estimates for the State, the Balance of State (BOS), and Metropolitan Statistical Areas (MSA) 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 2016 estimates based on responses from six semiannual panels collected over a 3-year period: May 2016, November 2015, May 2015, November 2014, May 2014, and November 2013.  Historical data are updated using ECI (Employment Cost Index) factors.

To enter the system, please click on OWN


Technical Notes

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 oes@oesc.state.ok.us 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

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 Farming, 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

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.

10th Pct: Hourly/annual wages of the 10th percentile.

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.


Area Profile 

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 BOS to BOS but not from an MSA to a BOS.

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. 

On the right side of the screen, you will see these items for the area:  

  • Standard Occupational Classification definition and code,
  • The median wage history for the occupation as compared to occupations within its group.  For example, this would compare Administrative Service Managers against all occupations within the Management Occupations group (11-0000).
  • This data will be available only if there is historical data available for that wage at the time the estimates were generated.

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 employing areas for that occupation and the top best paying areas for that occupation in the state.  This will allow the user to see other areas at a glance.


Additional Notes:

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.  The wages in the file represent May 2016 estimates based on responses from six semiannual panels collected over a 3-year period: May 2016, November 2015, May 2015, November 2014, May 2014, and November 2013.   The data are not updated using ECI factors.