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Welcome to OWN - Oklahoma Wage Network Updated April 2012
Wage and employment estimates for the State, Metropolitan Areas, 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 wage data collected during the years of 2008, 2009, 2010 and 2011 Occupational Wage Survey.
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) 557-5381.
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 collected 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, entry wage, exp. wage, 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. The mean wage RSE values are estimated using a variance components model that accounts for both the observed and unobserved components of the wage data.
Entry Wage: This wage is determined by taking the mean of the first third of the wages for that occupation.
Exp. Wage: This wage is determined by taking the mean of the upper two thirds of the wages for that occupation.
25th Pct: Hourly/annual wages of the 25th percentile.
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.
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:
On the right side of the screen, you will see these items for the area:
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.
Below this chart there is a map of Oklahoma. This map will show the area you are currently in (as the base) and compare its occupation’s wage versus all other areas in the state (as long as a wage is available…if no wage is available, that area will show up white). The comparison will be done as a percentage comparison of that area’s wage. Therefore, if the Lawton MSA is the area in which you are viewing occupations, then that area (or county configuration that makes up the area) will be the base and show up gray. If another area’s mean wage for that occupation is less than Waco’s, then it will either show up yellow or red on the map. If the mean wage is higher, then it will show up either green or light blue. If the wage is close to that of Lawton’s, then it will show up gray.
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, tips, and on-call pay are included. Excluded are back pay, jury duty pay, overtime pay, severance pay, shift differentials, non-production bonuses, employer cost of supplementary benefits, and tuition reimbursements.
The OES survey collects wage data in 12 intervals. Employers report the number of employees in an occupation per each wage range.
State of Oklahoma
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