News Release Information

12-862-SAN

Wednesday, May 2, 2012

Contacts

OCCUPATIONAL EMPLOYMENT AND WAGES IN REDDING
May 2011

Workers in the Redding Metropolitan Statistical Area had an average (mean) hourly wage of $20.18 in May 2011, about 7 percent below the nationwide average of $21.74, 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 protective service, production, and building and grounds cleaning and maintenance. Nine groups had significantly lower wages than their respective national averages, including computer and mathematical, legal, and management.

When compared to the nationwide distribution, local employment was more highly concentrated in 6 of the 22 occupational groups, including personal care and service; healthcare support; and education, training, and library. Conversely, eight groups had employment shares significantly below their national representation, including production, computer and mathematical, and business and financial operations. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Redding Metropolitan Statistical Area, and measures of statistical significance, May 2011
Major occupational group Percent of total employment Mean hourly wage
United States Redding United States Redding Percent difference (1)

Total, all occupations

100.0% 100.0% $21.74 $20.18* -7

Management

4.8 4.5 51.64 45.77* -11

Business and financial operations

4.8 3.2* 33.05 28.32* -14

Computer and mathematical

2.7 0.8* 37.85 27.31* -28

Architecture and engineering

1.8 1.3* 37.08 38.86 5

Life, physical, and social science

0.8 1.4* 32.44 27.86* -14

Community and social services

1.5 2.4* 21.07 21.68 3

Legal

0.8 0.5* 47.30 39.14* -17

Education, training, and library

6.6 7.6* 24.46 23.54 -4

Arts, design, entertainment, sports, and media

1.3 0.6* 25.89 21.17* -18

Healthcare practitioner and technical

5.9 7.1 34.97 35.08 0

Healthcare support

3.1 4.5* 13.16 13.32 1

Protective service

2.5 2.3* 20.54 25.40* 24

Food preparation and serving related

8.7 9.8 10.30 10.06 -2

Building and grounds cleaning and maintenance

3.3 2.9* 12.29 14.14* 15

Personal care and service

2.8 4.4* 11.84 11.03* -7

Sales and related

10.6 10.8 18.04 14.39* -20

Office and administrative support

16.7 16.8 16.40 15.85* -3

Farming, fishing, and forestry

0.3 1.0* 11.68 17.02* 46

Construction and extraction

3.9 4.1 21.46 23.17* 8

Installation, maintenance, and repair

3.9 4.0 20.86 21.23 2

Production

6.5 3.0* 16.45 18.67* 13

Transportation and material moving

6.7 7.0 15.96 16.69 5

Footnotes:
(1) A positive percent difference measures how much the mean wage in Redding 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—healthcare support—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Redding had 2,630 jobs in healthcare support, accounting for 4.5 percent of local area employment, significantly higher than the 3.1-percent share nationally. The average hourly wage for this occupational group locally was $13.32, compared to the national wage of $13.16.

With employment of 770, home health aides was the largest occupation within the healthcare support group, followed by nursing aides, orderlies, and attendants (600) and medical assistants (430). Among the higher paying jobs were physical therapist assistants and medical equipment preparers, with mean hourly wages of $29.74 and $17.75, respectively. At the lower end of the wage scale were home health aides ($10.46) and pharmacy aides ($10.52). (Detailed occupational data for healthcare support are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2011/may/oes_39820.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 Redding Metropolitan Statistical Area, above average concentrations of employment were found in many of the occupations within the healthcare support group. For instance, dental assistants were employed at 2.0 times the national rate in Redding, and home health aides, at 1.9 times the U.S. average. On the other hand, nursing aides, orderlies, and attendants had a location quotient of 0.9 in Redding, 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. The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and nearly 800 non-military detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas.

OES wage and employment data for the 22 major occupational groups in the Redding 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 also are surveyed, but their data are not included in this release. OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 establishments in May and November of each year for a 3-year period. The nationwide response rate for the May 2011 survey was 77.3 percent based on establishments and 73.3 percent based on employment. May 2011 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2011, November 2010, May 2010, November 2009, May 2009, and November 2008. The sample in the Redding Metropolitan Statistical Area included 1,118 establishments with a response rate of 86 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.

The May 2011 OES estimates mark the first set of estimates based in part on data collected using the 2010 Standard Occupational Classification (SOC) system. Nearly all the occupations in this release are 2010 SOC occupations; however, some are not. The May 2012 OES data will reflect the full set of detailed occupations in the 2010 SOC. For a list of all occupations, including 2010 SOC occupations, and how data collected on two structures were combined, see the OES Frequently Asked Questions online at www.bls.gov/oes/oes_ques.htm#Ques41.

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 Redding, Calif. Metropolitan Statistical Area  includes Shasta County.

Additional information

OES data are available on our regional web page at www.bls.gov/ro9/home.htm. If you have additional questions, contact the San Francisco Economic Analysis and Information Unit at (415) 625-2270. Information in this release will be made available to sensory impaired individuals upon request. Voice phone: 202-691-5200; TDD message referral phone number: 1-800-877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Redding Metropolitan Statistical Area, May 2011
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual(4)

Healthcare Support Occupations

2,6301.5$13.32$27,710

Home Health Aides

7701.910.4621,760

Nursing Aides, Orderlies, and Attendants

6000.912.9626,960

Physical Therapist Assistants

401.329.7461,850

Physical Therapist Aides

703.112.1925,350

Massage Therapists

501.812.1825,330

Dental Assistants

2602.016.1733,640

Medical Assistants

4301.814.2629,660

Medical Equipment Preparers

(5)(5)17.7536,930

Medical Transcriptionists

501.415.4032,020

Pharmacy Aides

502.410.5221,880

Veterinary Assistants and Laboratory Animal Caretakers

(5)(5)12.2325,440

Healthcare Support Workers, All Other

1701.915.8733,010

Footnotes:
(1) For a complete listing of all detailed occupations in Redding, CA, see www.bls.gov/oes/current/oes_39820.htm.
(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: July 13, 2012