Tuesday, June 23, 2015
Workers in the Santa Rosa-Petaluma Metropolitan Statistical Area had an average (mean) hourly wage of $23.94 in May 2014, about 5 percent above the nationwide average of $22.71, 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 higher than their respective national averages in 11 of the 22 major occupational groups, including protective service; construction and extraction; and healthcare support. No other group had an hourly wage significantly lower than its respective national average.
When compared to the nationwide distribution, local employment was more highly concentrated in 7 of the 22 occupational groups, including food preparation and serving related; sales and related; and management. Conversely, eight groups had employment shares significantly below their national representation, including computer and mathematical; office and administrative support; and transportation and material moving. (See table A and box note at end of release.)
|Major occupational group||Percent of total employment||Mean hourly wage|
|United States||Santa Rosa||United States||Santa Rosa||Percent difference (1)|
Total, all occupations
Business and financial operations
Computer and mathematical
Architecture and engineering
Life, physical, and social science
Community and social services
Education, training, and library
Arts, design, entertainment, sports, and media
Healthcare practitioner and technical
Food preparation and serving related
Building and grounds cleaning and maintenance
Personal care and service
Sales and related
Office and administrative support
Farming, fishing, and forestry
Construction and extraction
Installation, maintenance, and repair
Transportation and material moving
One occupational group—management—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Santa Rosa-Petaluma had 11,150 jobs in management, accounting for 6.0 percent of local area employment, significantly higher than the 5.0-percent share nationally. The average hourly wage for this occupational group locally was $53.36, compared to the national wage of $54.08.
Some of the largest detailed occupations within the management group included general and operations managers (3,850), financial managers (820), and sales managers (760). Among the higher paying jobs were chief executives and natural sciences managers, with mean hourly wages of $91.93 and $76.74, respectively. At the lower end of the wage scale were food service managers ($24.98) and lodging managers ($30.13). (Detailed occupational data for management are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2014/may/oes_42220.htm .)
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 Santa Rosa-Petaluma Metropolitan Statistical Area, above-average concentrations of employment were found in some of the occupations within the management group. For instance, food service managers were employed at 1.8 times the national rate in Santa Rosa, and industrial production managers, at 1.7 times the U.S. average. On the other hand, chief executives had a location quotient of 1.1 in Santa Rosa, 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 California Employment Development Department.
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.
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. May 2014 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2014, November 2013, May 2013, November 2012, May 2012, and November 2011. The overall national response rate for the six panels is 74.3 percent based on establishments and 70.5 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.1 percent of total national employment. (Response rates are slightly lower for these estimates due to the federal shutdown in October 2013.) The sample in the Santa Rosa-Petaluma Metropolitan Statistical Area included 2,221 establishments with a response rate of 75 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.
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 www.bls.gov/oes/current/oessrcst.htm and www.bls.gov/oes/current/oessrcma.htm, respectively.
The May 2014 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 www.bls.gov/soc and information about the 2012 NAICS is available at www.bls.gov/bls/naics.htm.
The substate area data published in this release reflect the standards and definitions established by the U.S. Office of Management and Budget.
The Santa Rosa-Petaluma, Calif. Metropolitan Statistical Area includes Sonoma County.
OES data are available on our regional web page at www.bls.gov/regions/west. Answers to frequently asked questions about the OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at www.bls.gov/oes/2014/may/methods_statement.pdf.
Information in this release will be made available to sensory impaired individuals upon request . Voice phone: 202-691-5200; Federal Relay Service: 800-877-8339.
|Occupation (1)||Employment||Mean wages|
|Level (2)||Location quotient (3)||Hourly||Annual (4)|
General and Operations Managers
Advertising and Promotions Managers
Public Relations and Fundraising Managers
Administrative Services Managers
Computer and Information Systems Managers
Industrial Production Managers
Transportation, Storage, and Distribution Managers
Human Resources Managers
Farmers, Ranchers, and Other Agricultural Managers
Education Administrators, Preschool and Childcare Center/Program
Education Administrators, Elementary and Secondary School
Education Administrators, Postsecondary
Education Administrators, All Other
Architectural and Engineering Managers
Food Service Managers
Medical and Health Services Managers
Natural Sciences Managers
Property, Real Estate, and Community Association Managers
Social and Community Service Managers
Managers, All Other
Last Modified Date: Tuesday, June 23, 2015