Chart book: Occupational Employment and Wages, May 2007

This chart book, Occupational Employment and Wages, 2007, includes graphs, maps, tables, and text describing the U.S. occupational workforce in May 2007. It contains Occupational Employment Statistics (OES) employment and wage data for occupations employed in different industries, States, and metropolitan and nonmetropolitan areas. The material cited below is drawn from this chart book.


Charts, Maps, and Tables

Occupational Employment and Wages, 2007 chart book (complete book as PDF) 6 MB

Page-by-page breakout:

  • Cover, Preface, Acknowledgements, and Contents (PDF)
  • Organization of charts and applications of OES data (PDF)
  • OES survey coverage, scope, and concept definitions (PDF)

    Occupation focus

  • Figure 1. Employment and wages of selected information technology (IT) occupations, May 2007 (PDF)
  • Figure 2. Wages and employment of selected outdoor occupations, May 2007 (PDF)
  • Figure 3. Employment and mean wages for the largest health technologist and technician occupations, May 2007 (PDF)
  • Figure 4. Employment and hourly mean wages of the largest occupations, May 2007 (PDF)
  • Figure 5. Employment and hourly mean wages of the smallest occupations, May 2007 (PDF)
  • Figure 6. Occupations most often found in business establishments, May 2007 (PDF)
  • Figure 7. Employment and wages for the 10 lowest paying occupations in the United States, May 2007 (PDF)
  • Figure 8. Wages for occupations with the highest incidence rates of injuries and illnesses, May 2007 (PDF)
  • Figure 9. Highest and lowest paying occupations by education and training category, May 2007 (PDF)
  • Figure 10. Wage distributions of possible occupations for psychology majors, May 2007 (PDF)
  • Figure 11. Wage distributions of possible occupations for business majors, May 2007 (PDF)
  • Figure 12. Wages for occupations that are predominately filled by women, May 2007 (PDF)
  • Figure 13. Wages for predominately male and predominately female management occupations, May 2007 (PDF)
  • Figure 14. Profile of laborers and freight, stock, and material movers, hand, May 2007 (PDF)

    Occupations within industries

  • Figure 15. Career paths and wage distribution for selected sales occupations in general merchandise stores, May 2007 (PDF)
  • Figure 16. Career paths and wage distribution for selected logistics occupations in general merchandise stores, May 2007 (PDF)
  • Figure 17. Industry employment of occupations related to real estate sales, May 2007 (PDF)
  • Figure 18. Industry employment of occupations related to real estate lending, May 2007 (PDF)
  • Figure 19. Industries with the highest employment of science, technology, engineering, and mathematics (STEM) occupations, May 2007 (PDF)

    Industry focus

  • Figure 20. Largest construction occupations in residential and nonresidential construction, May 2007 (PDF)
  • Figure 21. Largest occupations in the employment services industry, with hourly mean wages, May 2007 (PDF)
  • Figure 22. Employment by occupational group, nursing care facilities, May 2007 (PDF)
  • Figure 23. Employment by occupational group, home health care services, May 2007 (PDF)
  • Figure 24. Total annual wages paid by State government, for selected occupations, May 2007 (PDF)
  • Figure 25. Total annual wages paid by local government, for selected occupations, May 2007 (PDF)
  • Figure 26. Largest occupations in selected occupational groups, in a high-tech and a low-tech manufacturing industry, May 2007 (PDF)
  • Figure 27. Wages of selected occupations in a high-tech and a low-tech manufacturing industry, May 2007 (PDF)
  • Figure 28. Occupations with the largest employment changes in the automobile dealers industry, 2003–2007 (PDF)
  • Figure 29. Occupations with the largest employment changes in automotive parts, accessories, and tire stores, 2003–2007 (PDF)
  • Figure 30. Distribution of employment among occupational groups in the industry with the largest projected output growth (computer and peripheral equipment manufacturing) and the industry with the largest projected output decline (footwear manufacturing), May 2007 (PDF)
  • Figure 31. Distribution of employment in not-for-profit, for-profit, and government establishments, May 2007 (PDF)
  • Figure 32. Mean hourly wages in not-for-profit, for-profit, and government establishments, May 2007 (PDF)

    State focus

  • Figure 33. Concentration of employment of protective service occupations by State, May 2007 (PDF)
  • Figure 34. Annual average wages for protective service occupations by State, May 2007 (PDF)
  • Figure 35. States with the highest and lowest concentrations of selected accountants, and auditors, and carpenters, May 2007 (PDF)
  • Figure 36. States with the highest and lowest concentrations of team assemblers and waiters and waitresses, May 2007 (PDF)
  • Figure 37. Percent of employment in Nevada by occupation, May 2007 (PDF)
  • Figure 38. Selected occupations in Nevada, employment and wages, May 2007 (PDF)

    Area focus

  • Figure 39. Wages of captains, mates, and pilots of water vessels employed along the Mississippi and Ohio Rivers, May 2007 (PDF)
  • Figure 40. Percent of area employment in business and financial operations occupations, May 2007 (PDF)
  • Figure 41. Percent employment of heavy and tractor-trailer truck drivers in Arkansas, May 2007 (PDF)
  • Figure 42. Occupational composition of the United States, Illinois, the Chicago-Naperville-Joliet, IL Metropolitan Division, and the South Illinois nonmetropolitan area, May 2007 (PDF)
  • Figure 43. Ratio of median wages for computer programmers to median wages for all occupations in the largest U.S. metropolitan areas, May 2007 (PDF)
  • Figure 44. Metropolitan areas with the highest employment concentration of science, technology, engineering, and mathematics (STEM) occupations, May 2007 (PDF)
  • Figure 45. Metropolitan areas with the highest employment levels of science, technology, engineering, and mathematics (STEM) occupations, May 2007 (PDF)
  • Figure 46. States with high employment of selected biotech workers, May 2007 (PDF)
  • Figure 47. Metropolitan areas with high employment of selected biotech workers, May 2007 (PDF)
  • Figure 48. Percent of total employment in selected occupational groups in Indianapolis-Carmel, IN; Las Vegas-Paradise, NV; and Austin-Round Rock, TX, May 2007 (PDF)
  • Figure 49. Wages and percentage of area employment for the 15 largest occupations in Hawaii, May 2007 (PDF)
  • Link to the OES website and electronic version of the chart book (PDF)

Preface

This chart book, Occupational Employment and Wages, 2007, is a product of the Occupational Employment Statistics (OES) program of the U.S. Bureau of Labor Statistics (BLS). The OES program produces employment and wage estimates for more than 800 occupations by geographic area and industry.

For every occupation, the OES program has data on the total U.S. employment and the distribution of wages, including the mean wage and the 10th, 25th, 50th (median), 75th, and 90th percentiles. Occupational data for geographic areas include employment and wages for each of the 50 States, the District of Columbia, Puerto Rico, Guam, and the U.S. Virgin Islands. Local area data are available for 375 Metropolitan Statistical Areas (MSAs), 34 metropolitan divisions within 11 of the largest MSAs, and 175 nonmetropolitan areas. National industry-specific estimates are available by industry sector and for 290 detailed industries.

The OES survey is a cooperative effort between BLS and the State workforce agencies. Employment and wage data for more than 800 occupations were collected from a sample of 1.2 million business establishments, employing more than 80 million workers, in 6 semiannual panels between November 2004 and May 2007. Wage data for all establishments were updated to the May 2007 reference period, and employment data were updated to the average of the November 2006 and the May 2007 reference periods. Information on OES sampling and estimation methodology is provided in the survey methods and reliability statement on the enclosed compact disk (CD) and at www.bls.gov/oes/current/methods_statement.pdf.

The enclosed CD and OES Web site www.bls.gov/oes/ include electronic copies of all charts in this book. Additional data tables include cross-industry occupational employment and wage data for the Nation, States, metropolitan areas, metropolitan divisions, and nonmetropolitan areas; national occupational employment and wage data by industry; and profiles for all occupations. Data users also can create customized tables using the OES database search tool, or download complete OES data in zipped Excel format from www.bls.gov/oes/tables.htm. Material in this publication is in the public domain and, with appropriate citation, may be reproduced without permission. Questions about OES data can be directed to the information phone line at (202) 691-6569 or sent to OES information.

Acknowledgements

The information provided in this chart book is possible due to the cooperation of more than a million business establishments that provide information on their workers to their State workforce agency and the U.S. Bureau of Labor Statistics (BLS). State workforce agencies within each State collect and verify almost all data provided. BLS selects the sample, produces the estimates, and provides technical procedures and financial support to the States. BLS also collects a small portion of the data from employers.

BLS produced this chart book under the general guidance and direction of Dixie Sommers, Assistant Commissioner for Occupational Statistics and Employment Projections, and George D. Stamas, Chief, Division of Occupational Employment Statistics. Laurie Salmon, manager of Publications and Analysis in Occupational Employment Statistics, provided planning and day-to-day direction. Dina Itkin coordinated the production of the chart book. The tables, charts, and maps were prepared by Benjamin Cover, Jeffrey Holt, Dina Itkin, John Jones, Rebecca Keller, Michael Soloy, Zachary Warren, and Audrey Watson. Cover art, typesetting, and layout were furnished by Keith Tapscott, and editorial services were provided by Monica Gabor, Division of Publishing, William Parks II, Chief.

Organization of charts and applications of OES data

This chart book’s presentation of figures is intended to demonstrate a variety of applications of OES data. Figures are organized into four categories: The first with a focus on detailed occupations, the second highlighting labor patterns of specific industries, and the third and fourth focusing on labor markets of States and local areas.

Some examples of useful applications of OES data:

  • Detailed occupational data can be used by job seekers or employers to show wages for workers in certain occupations and to assess wage variation within, and across, occupations. Wage variation within an occupation can result from several factors, including industry, geographic location, or a worker’s particular experience or qualifications. Useful data for job seekers include information on the industries or geographic areas that have the highest employment or the highest average wages for an occupation. Career and guidance counselors can use OES data to examine possible occupational choices by field of study or training.

  • Industry-specific occupational data can be used by human resources professionals in salary negotiations or to ensure that their wages are competitive with those of other businesses in their area or industry. Information on the types of jobs within an industry can be used to compare average staffing patterns with that of one’s own company. Occupational employment by industry may be useful in assessing the impact of shifts in technology and other macroeconomic trends on the types of jobs available. BLS and State government employment projections programs use OES data as an input to their employment projections, which can be used to predict training and education demands.

  • Geographic area information can be used to assess labor market features of a particular area. OES State level data can be used to make assessments about the diversity of a State’s economy or to make comparisons among States. The occupational composition of employment can provide clues to how a State or regional economy can hold up in adverse conditions that affect a certain sector of the economy. Differences in both occupational composition and occupational wage rates also help explain differences in average wages across States. For example, States with high average wages may have larger employment shares of high-paying occupations, higher wages within each occupation, or some combination of both factors.

  • Like State data, metropolitan and nonmetropolitan area data can be used to study the diversity of local area economies. Businesses can use data to see whether it might be beneficial to relocate to a particular area. OES occupational employment data may indicate whether workers are available in occupations that the business will need. For example, businesses that require computer specialists or skilled production workers may want to identify areas that have high employment in these occupations. Businesses may also use the data to compare wages between alternative areas.

OES survey coverage, scope, and concept definitions

The OES survey covers all full- and part-time wage and salary workers in nonfarm industries. The survey does not include the self-employed, owners and partners in unincorporated firms, workers in private households, or unpaid family workers.

An occupation is a set of activities or tasks that employees are paid to perform. Employees who perform essentially the same tasks are in the same occupation, whether or not they are in the same industry. Workers who may be classified in more than one occupation are classified in the occupation that requires the highest level of skill. If there is no measurable difference in skill requirements, workers are included in the occupation in which they spend the most time. All occupations are classified by the 2000 Standard Occupational Classification (SOC) system.

An industry is a group of establishments that have similar production processes or provide similar services. For example, all establishments that manufacture automobiles are in the same industry. A given industry, or even a particular establishment in that industry, might have employees in many different occupations. The North American Industry Classification System (NAICS) groups similar establishments into industries.

The employment shown is the average employment for the most recent May and November. Employment is defined as the number of workers who can be classified as full- or part-time employees, including workers on paid vacations or other types of paid 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.

Wages for the OES survey are straight-time, gross pay, exclusive of premium pay. Included are base rate; cost-of-living allowances; guaranteed pay; hazardous-duty pay; incentive pay, including commissions and production bonuses; tips; and on-call pay. Excluded are back pay, jury duty pay, overtime pay, severance pay, shift differentials, non-production bonuses, employer cost for supplementary benefits, and tuition reimbursements.

Respondents are asked to report the number of employees paid within specific wage intervals, regardless of part- or full-time status. The responding establishment can reference either the hourly or the annual rate for full-time workers but are instructed to report the hourly rate for part-time workers. 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.

Geographic areas are defined by the Office of Management and Budget. Guam, Puerto Rico, and the U.S. Virgin Islands are also surveyed; their data are not included in this publication, but are published on the OES Web site. The nationwide response rate for the May 2007 survey was 77.9 percent based on establishments and 73.5 percent based on employment. More information on sampling and estimation methods can be found in the survey methods and reliability statement on the enclosed CD and our Web site at: www.bls.gov/oes/current/methods_statement.pdf.

 

Last Modified Date: February 19, 2009