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June 10, 2014


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Occupational Employment and Wages in Corvallis, May 2013

Workers in the Corvallis Metropolitan Statistical Area had an average (mean) hourly wage of $24.02 in May 2013, about 8 percent above the nationwide average of $22.33, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Richard J. Holden noted that, after testing for statistical significance, wages in the local area were significantly higher than their respective national averages in 5 of the 22 major occupational groups, including healthcare practitioners and technical; architecture and engineering; and education, training, and library. Seven groups had significantly lower wages than their respective national averages, including management; life, physical, and social science; and business and financial operations.

When compared to the nationwide distribution, local employment was more highly concentrated in 10 of the 22 occupational groups, including education, training, and library; life, physical, and social science; and architecture and engineering. Conversely, 10 groups had employment shares significantly below their national representation, including transportation and material moving, production, and sales and related. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Corvallis Metropolitan Statistical Area, and measures of statistical significance, May 2013
Major occupational group Percent of total employment Mean hourly wage
United States Corvallis United States Corvallis Percent difference (1)

Total, all occupations

100.0% 100.0% $22.33 $24.02 8


4.9 5.8* 53.15 45.99* -13

Business and financial operations

5.0 4.1* 34.14 28.05* -18

Computer and mathematical

2.8 4.5* 39.43 35.69* -9

Architecture and engineering

1.8 4.1* 38.51 43.10* 12

Life, physical, and social science

0.9 3.8* 33.37 27.04* -19

Community and social services

1.4 2.2* 21.50 21.56 0


0.8 0.3* 47.89 39.41 -18

Education, training, and library

6.3 12.4* 24.76 28.60* 16

Arts, design, entertainment, sports, and media

1.3 1.8 26.72 24.85 -7

Healthcare practitioner and technical

5.8 6.6* 35.93 44.95* 25

Healthcare support

3.0 2.6* 13.61 16.14* 19

Protective service

2.5 1.2* 20.92 22.23 6

Food preparation and serving related

9.0 10.3* 10.38 10.45 1

Building and grounds cleaning and maintenance

3.2 3.5 12.51 12.75 2

Personal care and service

3.0 4.1* 11.88 12.01 1

Sales and related

10.6 7.5* 18.37 15.15* -18

Office and administrative support

16.2 13.3* 16.78 16.25* -3

Farming, fishing, and forestry

0.3 0.8* 11.70 16.51* 41

Construction and extraction

3.8 1.7* 21.94 22.94 5

Installation, maintenance, and repair

3.9 2.9* 21.35 21.49 1


6.6 3.3* 16.79 19.30 15

Transportation and material moving

6.8 3.2* 16.28 14.29* -12

(1) A positive percent difference measures how much the mean wage in Corvallis is above the national mean wage, while a negative difference reflects a lower wage.
* The percent share of employment or mean hourly wage for this area is significantly different from the national average of all areas at the 90-percent confidence level.

One occupational group—architecture and engineering—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Corvallis had 1,350 jobs in architecture and engineering, accounting for 4.1 percent of local area employment, significantly higher than the 1.8-percent share nationally. The average hourly wage for this occupational group locally was $43.10, measurably above the national wage of $38.51.

Some of the largest detailed occupations within the architecture and engineering group included civil engineers (140), electronics engineers, except computer (130), and mechanical engineers (90). Among the higher paying jobs were electronics engineers, except computer, and mechanical engineers, with mean hourly wages of $47.14 and $39.57, respectively. At the lower end of the wage scale were architectural and civil drafters ($22.35) and surveying and mapping technicians ($22.42). (Detailed occupational data for architecture and engineering are presented in table 1; for a complete listing of detailed occupations available go to

Location quotients allow us to explore the occupational make-up of a metropolitan area by comparing the composition of jobs in an area relative to the national average. (See table 1.) For example, a location quotient of 2.0 indicates that an occupation accounts for twice the share of employment in the area than it does nationally. In the Corvallis Metropolitan Statistical Area, above average concentrations of employment were found in many of the occupations within the architecture and engineering group. For instance, electronics engineers, except computer, were employed at 3.9 times the national rate in Corvallis, and civil engineers, at 2.1 times the U.S. average. On the other hand, mechanical engineers had a location quotient of 1.3 in Corvallis, indicating that this particular occupation’s local and national employment shares were similar.

These statistics are from the Occupational Employment Statistics (OES) survey, a federal-state cooperative program between BLS and State Workforce Agencies, in this case, the Oregon Employment Department.


OES wage and employment data for the 22 major occupational groups in the Corvallis metropolitan statistical area were compared to their respective national averages based on statistical significance testing. Only those occupations with wages or employment shares above or below the national wage or share after testing for significance at the 90-percent confidence level meet the criteria.

NOTE: A value that is statistically different from another does not necessarily mean that the difference has economic or practical significance. Statistical significance is concerned with the ability to make confident statements about a universe based on a sample. It is entirely possible that a large difference between two values is not significantly different statistically, while a small difference is, since both the size and heterogeneity of the sample affect the relative error of the data being tested.

Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual mail survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. Guam, Puerto Rico, and the Virgin Islands are also surveyed, but their data are not included in the national estimates. OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 sampled establishments in May and November each year for a 3-year period. May 2013 estimates are based on responses from six semiannual panels collected in May 2013, November 2012, May 2012, November 2011, May 2011, and November 2010. The overall national response rate for the six panels is 75.3 percent based on establishments and 71.6 percent based on employment. The sample in the Corvallis Metropolitan Statistical Area included 707 establishments with a response rate of 80 percent. For more information about OES concepts and methodology, go to

The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and 821 detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas. In addition, employment and wage estimates for 94 minor groups and 458 broad occupations are available in the national data. OES data by state and metropolitan/nonmetropolitan area are available from and , respectively.

The May 2013 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2012 North American Industry Classification System (NAICS). Information about the 2010 SOC is available on the BLS website at and information about the 2012 NAICS is available at .

Area definitions

The substate area data published in this release reflect the standards and definitions established by the U.S. Office of Management and Budget.

The Corvallis, Ore. Metropolitan Statistical Area  includes Benton County.

Additional information

OES data are available on our regional web page at Answers to frequently asked questions about the OES data are available at Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at Information in this release will be made available to sensory impaired individuals upon request – Voice phone: 202-691-5200; Federal Relay Service: 1-800-877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Corvallis Metropolitan Statistical Area, May 2013
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual(4)

Architecture and Engineering Occupations

1,350 2.3 $43.10 $89,650

Civil Engineers

140 2.1 37.22 77,420

Electrical Engineers

60 1.5 39.42 81,990

Electronics Engineers, Except Computer

130 3.9 47.14 98,050

Mechanical Engineers

90 1.3 39.57 82,300

Engineers, All Other

70 2.2 40.53 84,310

Architectural and Civil Drafters

40 1.8 22.35 46,480

Civil Engineering Technicians

30 2.0 26.84 55,820

Surveying and Mapping Technicians

(5) (5) 22.42 46,630

(1) For a complete listing of all detailed occupations in Corvallis, OR, see
(2) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.
(3) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.
(4) 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.
(5) Estimate not released.


Last Modified Date: Tuesday, June 10, 2014