The full text on this page is automatically extracted from the file linked above and may contain errors and inconsistencies.
Ocala, FL National Compensation Survey August 1999 _________________________________________________________________________________________ U.S. Department of Labor Alexis M. Herman, Secretary Bureau of Labor Statistics Katharine G. Abraham, Commissioner February 2000 Bulletin 3100-09 Preface D 2 Massachusetts Avenue, NE, Room 4175, Washington, DC 20212-0001, or call (202) 691-6199, or send e-mail to ocltinfo@bls.gov. The data contained in this bulletin are also available at http://stats.bls.gov/comhome.htm, the BLS Internet site. Data are in three formats: An ASCII file containing the published table formats; an ASCII file containing positional columns of data for manipulation as a data base or spreadsheet; and a Portable Document Format (PDF) file containing the entire bulletin. Results of earlier surveys of this area are also available from BLS regional offices, the Division of Compensation Data Analysis and Planning, or at the BLS Internet site. Material in this bulletin is in the public domain and, with appropriate credit, may be reproduced without permission. This information will be made available to sensory impaired individuals upon request. Voice phone: (202) 606-5886; Federal Relay Service: 1-800-877-8339. ata shown in this bulletin were collected as part of the Bureau of Labor Statistics’ (BLS) National Compensation Survey (NCS). The survey could not have been conducted without the cooperation of the many private firms and government jurisdictions that provided pay data included in this bulletin. The Bureau thanks these respondents for their cooperation. Field economists of the Bureau of Labor Statistics collected and reviewed the survey data. The Office of Compensation and Working Conditions, in cooperation with the Office of Field Operations and the Office of Technology and Survey Processing in the BLS National Office, designed the survey, processed the data, and prepared the survey for publication. For additional information regarding this survey, please contact any BLS regional office at the address and telephone number listed on the back cover of this bulletin. You may also write to the Bureau of Labor Statistics at Division of Compensation Data Analysis and Planning, iii Contents Page Introduction ................................................................................................................................................ 1 Tables: 1-1. Summary: Mean hourly earnings and weekly hours by selected worker and establishment characteristics, private industry, and State and local government ................................................ 2-1. Mean hourly earnings: Selected occupations, all workers, private industry, and State and local government ......................................................................................... ........... 2-2. Mean hourly earnings: Selected occupations, full-time workers, private industry, and State and local government ......................................................................................... ........... 2-3. Mean hourly earnings: Selected occupations, part-time workers, private industry, and State and local government ......................................................................................... ........... 3-1. Mean weekly earnings and hours: Selected occupations, full-time workers, private industry, and State and local government ......................................................................................... ........... 3-2. Mean annual earnings and hours: Selected occupations, full-time workers, private industry, and State and local government .................................................................................................... 4-1. Selected occupations and levels, all workers: Mean hourly earnings, private industry, and State and local government .................................................................................................... 4-2. Selected occupations and levels, full-time workers: Mean hourly earnings, private industry, and State and local government ......................................................................................... ........... 4-3. Selected occupations and levels, part-time workers: Mean hourly earnings, private industry, and State and local government ......................................................................................... ........... 5-1. Selected worker characteristics: Mean hourly earnings by occupational group ............................ 5-2. Major industry division: Mean hourly earnings by occupational group, private industry ............. 5-3. Establishment employment size: Mean hourly earnings by occupational group, private industry. 2 3 4 5 6 8 10 12 14 15 16 17 Appendixes: A. Technical Note................................................................................................................................. Appendix table 1. Number of workers represented by the survey, by occupational group............ Appendix table 2. Number of establishments studied and represented.......................................... B. Occupational Classifications............................................................................................................ C. Generic Leveling Criteria................................................................................................................. D. Evaluating Your Firm’s Jobs ........................................................................................................... E. A Guide for Users of Prior BLS Wage Surveys............................................................................... v A-1 A-5 A-6 B-1 C-1 D-1 E-1 Introduction T establishment characteristics. The worker characteristics include major occupational group, full-time or part-time status, union or nonunion status, and time or incentive pay. Establishment characteristics include goods and service producing (within private industry) and size of establishment. Table 2-1 presents estimates of mean hourly earnings, and the relative standard errors associated with them, for detailed occupations within all industries, private industry, and State and local government. Data are not shown for any occupations if they would raise concerns about the confidentiality of the survey respondents or if the data are insufficient to support reliable estimates. Table 2-2 presents the same type of information only for full-time workers. Table 2-3 provides similar data for workers designated as part-time. Table 3-1 presents mean weekly earnings data, with relative standard errors, and weekly hours for full-time employees in specific occupations across all industries, private industry, and State and local government. The mean hours reflect hours employees are scheduled to work, excluding overtime hours. Table 3-2 provides annual earnings, relative standard error, and annual hours for full-time employees in specific occupations. Table 4-1 presents mean hourly earnings data by work level for occupational groups and for detailed occupations. Separate data are also shown for private industry and government workers. Table 4-2 provides work level data for full-time workers. Table 4-3 provides similar data for workers designated as part-time. Table 5-1 presents mean hourly earnings data for selected worker characteristics by major occupational groups. The worker characteristics include full-time or part-time designation, union or nonunion status, and time or incentive pay. Table 5-2 presents mean hourly earnings data for major industry divisions by occupational groups; these estimates are limited to the private sector. Table 5-3 presents mean hourly earnings data for establishment employment sizes by major occupational groups; these estimates are also limited to the private sector. Appendix table 1 provides the employment scope of this survey. The occupation employment estimates relate to all employers in the area, rather than just those surveyed. Appendix table 2 presents the number of establishments studied by industry group and employment size. he tables in this bulletin summarize the NCS results for the Ocala, FL, metropolitan area. Tabulations provide information on earnings of workers in a variety of occupations and at different work levels. Also contained in this bulletin are information on the program, a technical note describing survey procedures, and several appendixes with detailed information on occupational classifications and the generic leveling methodology. NCS products The Bureau’s National Compensation Survey provides data on the occupational wages and employee benefits for localities, broad geographic regions, and the Nation as a whole. The Employment Cost Index, a quarterly measure of the change in employer costs for wages and benefits, will be derived from the NCS. Another product, Employer Costs for Employee Compensation, measures employers’ average hourly costs for total compensation, that is, wages and benefits. Still another NCS product measures the incidence of benefit plans and their provisions. This bulletin is limited to data on occupational wages and salaries. Ongoing changes The NCS is implementing changes to its sample design and timing of data collection and publication. Because of these ongoing changes, it is not possible to produce median wages and other wage percentiles for this area publication. Estimates describing the distribution of wages by occupation will be available on the BLS Internet site, or by calling (202) 691-6199, in the late spring of 2000. About the tables The tables that follow present data on straight-time occupational earnings, which include wages and salaries, incentive pay, cost-of-living adjustments, and hazard pay. These earnings exclude premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. About 480 detailed occupations are used to describe all occupations in the civilian nonfarm economy (excluding the Federal Government and private households), as explained in Appendix A. The table footnotes include information on survey concepts and definitions. Table 1-1 presents an overview of all tables in this bulletin. Mean hourly earnings, weekly hours, and relative standard errors are given for all industries, private industry, and State and local government for selected worker and 1 Table 1-1. Summary: Mean hourly earnings1 and weekly hours by selected characteristics, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Private industry Hourly earnings State and local government Hourly earnings Worker and establishment characteristics Mean weekly hours3 Mean Relative error2 (percent) Hourly earnings Mean weekly hours3 Mean Relative error2 (percent) Mean weekly hours3 Mean Relative error2 (percent) $13.00 4.1 36.9 $11.89 4.6 36.7 $15.34 7.5 37.3 15.47 18.41 31.83 9.73 10.70 10.87 13.63 6.1 5.0 13.8 14.9 3.4 3.6 4.6 37.5 37.4 41.2 35.7 37.8 36.4 39.7 14.01 17.98 29.91 9.75 10.84 10.91 13.70 7.7 4.5 12.5 15.2 4.9 3.8 4.7 36.6 35.1 42.0 35.6 37.2 37.1 39.7 17.60 18.64 35.11 – 10.46 10.39 – 9.0 7.2 29.0 – 4.0 7.1 – 38.9 38.8 40.0 – 38.8 29.2 – 9.69 10.86 5.5 5.8 39.1 25.4 9.69 10.07 5.5 10.2 39.1 29.6 – – – – – – 8.20 9.68 4.8 7.5 33.7 36.0 8.21 7.18 5.2 8.3 33.2 35.5 – 11.60 – 7.8 – 36.4 Full time .................................................................. Part time ................................................................. 13.51 7.77 4.2 11.7 39.3 22.5 12.50 7.75 4.6 12.0 40.3 22.8 15.38 – 7.5 – 37.7 – Union ...................................................................... Nonunion ................................................................ 15.75 12.39 7.6 4.7 35.9 37.1 – 11.64 – 5.0 – 36.5 15.85 14.95 9.8 10.9 34.8 39.5 Time ........................................................................ Incentive ................................................................. 12.56 21.68 4.1 10.7 36.7 41.5 11.12 21.68 4.1 10.7 36.4 41.5 15.34 – 7.5 – 37.3 – Goods producing .................................................... Service producing ................................................... (6) (6) (6) (6) (6) (6) 12.60 – 5.7 – 39.8 – (6) (6) (6) (6) (6) (6) 50-99 workers7 ....................................................... 100-499 workers ..................................................... 500 workers or more ............................................... 9.95 11.74 15.02 14.9 5.8 5.5 34.6 37.2 37.5 9.90 11.75 14.26 15.2 5.8 5.9 34.5 37.3 38.0 – – 15.42 – – 7.6 – – 37.3 Total ........................................................................... Worker characteristics:4 White-collar occupations5 ....................................... Professional specialty and technical ................... Executive, administrative, and managerial ......... Sales ................................................................... Administrative support ........................................ Blue-collar occupations5 ......................................... Precision production, craft, and repair ................ Machine operators, assemblers, and inspectors ......................................................... Transportation and material moving ................... Handlers, equipment cleaners, helpers, and laborers ...................................................... Service occupations5 .............................................. Establishment characteristics: 1 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, and holidays; nonproduction bonuses; and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. 3 Mean weekly hours are the hours an employee is scheduled to work in a week, exclusive of overtime. 4 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Union workers are those whose wages are determined through collective bargaining. Wages of time workers are based solely on hourly rate or salary; incentive workers are those whose wages are at least partially based on productivity payments such as piece rates, commissions, and production bonuses. 5 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 6 Classification of establishments into goods-producing and service-producing industries applies to private industry only. 7 Establishments classified with 50-99 workers may contain establishments with fewer than 50 due to staff reductions between survey sampling and collection. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria. 2 Table 2-1. Mean hourly earnings1, all workers:2 Selected occupations, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation3 Private industry State and local government Mean Relative error4 (percent) Mean Relative error4 (percent) Mean Relative error4 (percent) All ............................................................................................. All excluding sales ............................................................ $13.00 13.39 4.1 4.1 $11.89 12.27 4.6 4.5 $15.34 15.38 7.5 7.5 White collar ......................................................................... White collar excluding sales ......................................... 15.47 16.95 6.1 5.7 14.01 16.20 7.7 6.4 17.60 17.70 9.0 9.0 Professional specialty and technical ............................ Professional specialty ................................................... Engineers, architects, and surveyors ....................... Mathematical and computer scientists ..................... Natural scientists ...................................................... Health related ........................................................... Registered nurses ................................................ Teachers, except college and university .................. Librarians, archivists, and curators ........................... Social scientists and urban planners ........................ Social, recreation, and religious workers .................. Lawyers and judges .................................................. Writers, authors, entertainers, athletes, and professionals, n.e.c. ............................................ Technical ...................................................................... 18.41 19.61 22.90 – – 20.00 19.73 – – – – – 5.0 5.4 4.8 – – 7.3 6.9 – – – – – 17.98 19.82 22.90 – – 18.80 – – – – – – 4.5 4.1 4.8 – – 5.8 – – – – – – 18.64 19.50 – – – – – – – – – – 7.2 7.9 – – – – – – – – – – – 13.31 – 5.8 – 11.97 – 2.9 – 14.35 – 8.6 Executive, administrative, and managerial .................. Executives, administrators, and managers ............... Managers and administrators, n.e.c. .................... Management related ................................................. 31.83 39.43 25.78 18.23 13.8 15.5 22.4 15.2 29.91 36.49 25.78 20.78 12.5 18.4 22.4 12.8 35.11 – – – 29.0 – – – Sales ................................................................................ Sales workers, other commodities ........................ Cashiers ............................................................... 9.73 8.60 6.61 14.9 18.2 3.9 9.75 8.60 6.51 15.2 18.2 3.8 – – – – – – Administrative support, including clerical ................... Secretaries ........................................................... Bookkeepers, accounting and auditing clerks ...... Administrative support, n.e.c. ............................... 10.70 11.06 9.81 9.03 3.4 10.4 4.7 3.4 10.84 – 9.41 8.73 4.9 – 4.4 7.5 10.46 – – 9.29 4.0 – – 3.2 Blue collar ........................................................................... 10.87 3.6 10.91 3.8 10.39 7.1 Precision production, craft, and repair ........................ Supervisors, production ........................................ 13.63 15.92 4.6 11.2 13.70 15.92 4.7 11.2 – – – – Machine operators, assemblers, and inspectors ........ Assemblers ........................................................... 9.69 10.61 5.5 7.7 9.69 10.61 5.5 7.7 – – – – Transportation and material moving ............................ 10.86 5.8 10.07 10.2 – – Handlers, equipment cleaners, helpers, and laborers Stock handlers and baggers ................................. 8.20 6.91 4.8 2.7 8.21 6.91 5.2 2.7 – – – – Service ................................................................................. Protective service ..................................................... Food service ............................................................. Health service ........................................................... Nursing aides, orderlies and attendants ............... Cleaning and building service ................................... Janitors and cleaners ........................................... Personal service ....................................................... 9.68 15.38 5.95 7.92 7.83 8.03 8.03 8.81 7.5 7.3 20.6 4.4 4.5 7.2 7.2 2.1 7.18 – – 7.90 7.88 – – – 8.3 – – 5.3 5.4 – – – 11.60 15.38 – – – – – – 7.8 7.3 – – – – – – 1 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 All workers include full-time and part-time workers. 3 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 4 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 3 Table 2-2. Mean hourly earnings1, full-time workers:2 Selected occupations, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation3 Private industry State and local government Mean Relative error4 (percent) Mean Relative error4 (percent) Mean Relative error4 (percent) All ............................................................................................. All excluding sales ............................................................ $13.51 13.76 4.2 4.1 $12.50 12.73 4.6 4.2 $15.38 15.43 7.5 7.5 White collar ......................................................................... White collar excluding sales ......................................... 15.94 16.97 6.6 5.9 14.63 16.16 8.8 7.0 17.60 17.70 9.0 9.0 Professional specialty and technical ............................ Professional specialty ................................................... Engineers, architects, and surveyors ....................... Mathematical and computer scientists ..................... Natural scientists ...................................................... Health related ........................................................... Registered nurses ................................................ Teachers, except college and university .................. Librarians, archivists, and curators ........................... Social scientists and urban planners ........................ Social, recreation, and religious workers .................. Lawyers and judges .................................................. Writers, authors, entertainers, athletes, and professionals, n.e.c. ............................................ Technical ...................................................................... 18.22 19.45 22.90 – – 19.45 19.11 – – – – – 5.3 5.8 4.8 – – 9.3 9.0 – – – – – 17.32 19.33 22.90 – – 17.31 – – – – – – 5.0 4.8 4.8 – – 6.6 – – – – – – 18.64 19.50 – – – – – – – – – – 7.2 7.9 – – – – – – – – – – – 13.31 – 5.8 – 11.97 – 2.9 – 14.35 – 8.6 Executive, administrative, and managerial .................. Executives, administrators, and managers ............... Managers and administrators, n.e.c. .................... Management related ................................................. 31.83 39.43 25.78 18.23 13.8 15.5 22.4 15.2 29.91 36.49 25.78 20.78 12.5 18.4 22.4 12.8 35.11 – – – 29.0 – – – Sales ................................................................................ 10.89 18.4 10.96 19.0 – – Administrative support, including clerical ................... Secretaries ........................................................... Bookkeepers, accounting and auditing clerks ...... Administrative support, n.e.c. ............................... 10.84 11.06 9.81 9.27 3.5 10.4 4.7 2.9 11.07 – 9.41 9.24 5.0 – 4.4 5.4 10.46 – – 9.28 4.0 – – 3.2 Blue collar ........................................................................... 11.26 3.5 11.33 3.7 10.39 7.1 Precision production, craft, and repair ........................ Supervisors, production ........................................ 13.72 15.92 4.5 11.2 13.80 15.92 4.7 11.2 – – – – Machine operators, assemblers, and inspectors ........ Assemblers ........................................................... 9.73 10.85 5.6 7.3 9.73 10.85 5.6 7.3 – – – – Transportation and material moving ............................ 10.93 5.4 10.16 9.7 – – Handlers, equipment cleaners, helpers, and laborers 8.91 4.3 9.03 4.5 – – 10.32 15.70 – 7.82 7.71 8.03 8.03 8.81 6.8 7.4 – 4.4 4.4 7.2 7.2 2.1 7.88 – – 7.78 – – – – 3.3 – – 5.3 – – – – 11.66 15.70 – – – – – – 7.9 7.4 – – – – – – Service ................................................................................. Protective service ..................................................... Food service ............................................................. Health service ........................................................... Nursing aides, orderlies and attendants ............... Cleaning and building service ................................... Janitors and cleaners ........................................... Personal service ....................................................... 1 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Therefore, a worker with a 35-hour-per-week schedule might be considered a full-time employee in one establishment, but classified as part-time in another firm, where a 40-hour week is the minimum full-time schedule. 3 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 4 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 4 Table 2-3. Mean hourly earnings1, part-time workers:2 Selected occupations, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation3 Private industry State and local government Mean Relative error4 (percent) Mean Relative error4 (percent) Mean Relative error4 (percent) All ............................................................................................. All excluding sales ............................................................ $7.77 8.45 11.7 15.8 $7.75 8.45 12.0 16.3 – – – – White collar ......................................................................... White collar excluding sales ......................................... 9.97 16.59 13.7 15.7 9.97 16.64 13.8 15.7 – – – – Professional specialty and technical ............................ Professional specialty ................................................... Health related ........................................................... Registered nurses ................................................ 22.02 22.02 22.02 21.50 8.2 8.2 8.2 7.9 22.02 22.02 22.02 21.50 8.2 8.2 8.2 7.9 – – – – – – – – Sales ................................................................................ Cashiers ............................................................... 6.06 6.08 2.8 3.3 6.06 6.08 2.8 3.3 – – – – Administrative support, including clerical ................... 6.60 3.7 6.58 3.6 – – Blue collar ........................................................................... 6.11 2.6 6.11 2.6 – – Precision production, craft, and repair ........................ – – – – – – Machine operators, assemblers, and inspectors ........ – – – – – – Transportation and material moving ............................ – – – – – – Handlers, equipment cleaners, helpers, and laborers Stock handlers and baggers ................................. 5.92 5.98 2.2 2.2 5.92 5.98 2.2 2.2 – – – – Service ................................................................................. Protective service ..................................................... Food service ............................................................. Health service ........................................................... 5.77 – – – 19.6 – – – 5.53 – – – 20.4 – – – – – – – – – – – 1 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Therefore, a worker with a 35-hour-per-week schedule might be considered a full-time employee in one establishment, but classified as part-time in another firm, where a 40-hour week is the minimum full-time schedule. 3 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 4 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 5 Table 3-1. Mean weekly earnings1, full-time workers:2 Selected occupations, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation3 Weekly earnings Mean Relative error4 (percent) State and local government Private industry Weekly earnings Mean weekly hours5 Mean Relative error4 (percent) Weekly earnings Mean weekly hours5 Mean Relative error4 (percent) Mean weekly hours5 All ............................................................... All excluding sales .............................. $531 538 4.4 4.3 39.3 39.1 $503 510 4.9 4.3 40.3 40.1 $579 581 8.0 8.0 37.7 37.7 White collar ........................................... White collar excluding sales ........... 636 671 6.8 6.0 39.9 39.6 595 650 9.3 7.3 40.7 40.2 686 690 9.1 9.2 39.0 39.0 715 759 5.4 6.0 39.2 39.0 695 777 5.0 4.9 40.1 40.2 723 752 7.4 8.1 38.8 38.6 929 5.2 40.6 929 5.2 40.6 – – – – – 778 764 – – 9.3 9.0 – – 40.0 40.0 – – 692 – – – 6.6 – – – 40.0 – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – 533 – 5.8 – 40.0 – 479 – 2.9 – 40.0 – 574 – 8.6 – 40.0 Professional specialty and technical ...................................... Professional specialty ..................... Engineers, architects, and surveyors .............................. Mathematical and computer scientists ............................... Natural scientists ........................ Health related ............................. Registered nurses .................. Teachers, except college and university .............................. Librarians, archivists, and curators ................................. Social scientists and urban planners ................................ Social, recreation, and religious workers ................................. Lawyers and judges .................... Writers, authors, entertainers, athletes, and professionals, n.e.c. ..................................... Technical ........................................ Executive, administrative, and managerial ................................... Executives, administrators, and managers .............................. Managers and administrators, n.e.c. ................................. Management related ................... 1,312 14.7 41.2 1,255 15.0 42.0 1,405 29.0 40.0 1,657 16.9 42.0 1,594 21.1 43.7 – – – 1,081 727 22.0 15.2 41.9 39.9 1,081 827 22.0 12.8 41.9 39.8 – – – – – – Sales .................................................. 454 20.6 41.7 457 21.3 41.7 – – – 428 433 3.5 9.3 39.5 39.1 440 – 5.1 – 39.8 – 408 – 3.8 – 39.0 – 391 371 4.8 2.9 39.9 40.0 375 369 4.5 5.4 39.8 40.0 – 371 – 3.2 – 40.0 Blue collar ............................................. 438 3.9 38.9 453 3.7 40.0 303 14.7 29.2 Precision production, craft, and repair ............................................ Supervisors, production .......... 549 692 4.7 13.8 40.0 43.5 552 692 4.8 13.8 40.0 43.5 – – – – – – Machine operators, assemblers, and inspectors ............................ Assemblers ............................. 385 415 5.2 5.4 39.6 38.2 385 415 5.2 5.4 39.6 38.2 – – – – – – Transportation and material moving ......................................... 316 15.8 28.9 406 9.7 40.0 – – – Handlers, equipment cleaners, helpers, and laborers ................. 360 4.5 40.5 366 4.7 40.5 – – – Service ................................................... 395 7.0 38.3 313 3.5 39.7 438 8.9 37.5 Administrative support, including clerical ......................................... Secretaries ............................. Bookkeepers, accounting and auditing clerks ................... Administrative support, n.e.c. See footnotes at end of table. 6 Table 3-1. Mean weekly earnings1, full-time workers:2 Selected occupations, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 — Continued Total Occupation3 Weekly earnings Mean Service –Continued Protective service ....................... Food service ............................... Health service ............................. Nursing aides, orderlies and attendants ......................... Cleaning and building service ..... Janitors and cleaners ............. Personal service ......................... Relative error4 (percent) State and local government Private industry Weekly earnings Mean weekly hours5 $638 – 311 6.6 – 4.3 40.6 – 39.7 306 320 320 288 4.3 7.3 7.3 6.1 39.7 39.9 39.9 32.7 1 Earnings are the straight-time weekly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Therefore, a worker with a 35-hour-per-week schedule might be considered a full-time employee in one establishment, but classified as part-time in another firm, where a 40-hour week is the minimum full-time schedule. 3 A classification system including about 480 individual occupations is used to Mean – – $309 – – – – Relative error4 (percent) Weekly earnings Mean weekly hours5 – – 5.2 – – 39.7 – – – – – – – – Mean $638 – – – – – – Relative error4 (percent) Mean weekly hours5 6.6 – – 40.6 – – – – – – – – – – cover all workers in the civilian economy. See appendix B for more information. 4 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. 5 Mean weekly hours are the hours an employee is scheduled to work in a week, exclusive of overtime. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 7 Table 3-2. Mean annual earnings1, full-time workers:2 Selected occupations, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation3 Annual earnings Mean Relative error4 (percent) State and local government Private industry Annual earnings Mean annual hours5 Mean Relative error4 (percent) Annual earnings Mean annual hours5 Mean Relative error4 (percent) Mean annual hours5 All ............................................................... All excluding sales .............................. $26,428 26,669 4.4 4.3 1,956 1,938 $26,145 26,488 4.9 4.3 2,092 2,081 $26,861 26,912 8.0 8.0 1,746 1,744 White collar ........................................... White collar excluding sales ........... 31,356 32,766 6.8 6.0 1,967 1,931 30,908 33,776 9.3 7.3 2,113 2,090 31,842 31,975 9.1 9.2 1,809 1,807 33,831 35,169 5.4 6.0 1,857 1,808 36,029 40,200 5.0 4.9 2,080 2,080 32,953 33,467 7.4 8.1 1,768 1,716 48,312 5.2 2,110 48,312 5.2 2,110 – – – – – 40,460 39,747 – – 9.3 9.0 – – 2,080 2,080 – – 35,997 – – – 6.6 – – – 2,080 – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – – 27,693 – 5.8 – 2,080 – 24,890 – 2.9 – 2,080 – 29,841 – 8.6 – 2,080 68,196 14.7 2,142 65,217 15.0 2,181 73,039 29.0 2,080 Professional specialty and technical ...................................... Professional specialty ..................... Engineers, architects, and surveyors .............................. Mathematical and computer scientists ............................... Natural scientists ........................ Health related ............................. Registered nurses .................. Teachers, except college and university .............................. Librarians, archivists, and curators ................................. Social scientists and urban planners ................................ Social, recreation, and religious workers ................................. Lawyers and judges .................... Writers, authors, entertainers, athletes, and professionals, n.e.c. ..................................... Technical ........................................ Executive, administrative, and managerial ................................... Executives, administrators, and managers .............................. Managers and administrators, n.e.c. ................................. Management related ................... 86,072 16.9 2,183 82,751 21.1 2,268 – – – 56,187 37,780 22.0 15.2 2,180 2,073 56,187 43,030 22.0 12.8 2,180 2,070 – – – – – – Sales .................................................. 23,591 20.6 2,166 23,756 21.3 2,168 – – – 21,309 20,332 3.5 9.3 1,966 1,838 22,904 – 5.1 – 2,069 – 19,054 – 3.8 – 1,821 – 20,325 19,273 4.8 2.9 2,072 2,080 19,478 19,214 4.5 5.4 2,070 2,080 – 19,312 – 3.2 – 2,080 Blue collar ............................................. 22,389 3.9 1,988 23,563 3.7 2,079 13,409 14.7 1,290 Precision production, craft, and repair ............................................ Supervisors, production .......... 28,558 35,986 4.7 13.8 2,082 2,261 28,725 35,986 4.8 13.8 2,082 2,261 – – – – – – Machine operators, assemblers, and inspectors ............................ Assemblers ............................. 20,027 21,579 5.2 5.4 2,058 1,988 20,027 21,579 5.2 5.4 2,058 1,988 – – – – – – Transportation and material moving ......................................... 13,949 15.8 1,276 21,125 9.7 2,080 – – – Handlers, equipment cleaners, helpers, and laborers ................. 18,744 4.5 2,103 19,022 4.7 2,107 – – – Service ................................................... 19,174 7.0 1,858 16,246 3.5 2,061 20,548 8.9 1,762 Administrative support, including clerical ......................................... Secretaries ............................. Bookkeepers, accounting and auditing clerks ................... Administrative support, n.e.c. See footnotes at end of table. 8 Table 3-2. Mean annual earnings1, full-time workers:2 Selected occupations, private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 — Continued Total Occupation3 Annual earnings Mean Service –Continued Protective service ....................... Food service ............................... Health service ............................. Nursing aides, orderlies and attendants ......................... Cleaning and building service ..... Janitors and cleaners ............. Personal service ......................... Relative error4 (percent) State and local government Private industry Annual earnings Mean annual hours5 Mean – – $16,043 $33,165 – 16,165 6.6 – 4.3 2,112 – 2,067 15,926 16,647 16,647 11,585 4.3 7.3 7.3 6.1 2,066 2,073 2,073 1,315 1 Earnings are the straight-time annual wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Therefore, a worker with a 35-hour-per-week schedule might be considered a full-time employee in one establishment, but classified as part-time in another firm, where a 40-hour week is the minimum full-time schedule. 3 A classification system including about 480 individual occupations is used to – – – – Annual earnings Mean annual hours5 Mean – – 5.2 – – 2,063 $33,165 – – – – – – – – – – Relative error4 (percent) – – – – Relative error4 (percent) Mean annual hours5 6.6 – – 2,112 – – – – – – – – – – cover all workers in the civilian economy. See appendix B for more information. 4 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. 5 Mean annual hours are the hours an employee is scheduled to work in a year, exclusive of overtime. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 9 Table 4-1.Selected occupations1 and levels,2 all workers:3 Mean hourly earnings,4 private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation and level Private industry State and local government Mean Relative error5 (percent) Mean Relative error5 (percent) Mean Relative error5 (percent) All ............................................................................................. All excluding sales ............................................................ $13.00 13.39 4.1 4.1 $11.89 12.27 4.6 4.5 $15.34 15.38 7.5 7.5 White collar ......................................................................... 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... 6 ...................................................................... 8 ...................................................................... 9 ...................................................................... 11 ...................................................................... White collar excluding sales ......................................... 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... 6 ...................................................................... 8 ...................................................................... 9 ...................................................................... 11 ...................................................................... 15.47 6.61 7.53 8.51 10.65 12.35 15.03 18.49 20.24 30.79 16.95 7.48 8.02 10.16 10.50 12.17 12.30 17.99 20.24 30.79 6.1 5.7 7.6 7.6 5.1 2.4 15.8 12.2 3.6 1.8 5.7 4.7 4.9 5.0 4.4 2.9 6.0 12.6 3.6 1.8 14.01 6.62 6.73 7.43 10.75 13.08 15.97 24.68 20.93 – 16.20 – – 9.02 10.63 13.01 12.77 23.96 20.93 – 7.7 5.8 5.2 7.1 5.5 3.1 16.4 18.9 6.7 – 6.4 – – 5.7 4.7 4.4 6.4 20.7 6.7 – 17.60 – – 10.63 9.39 11.57 – 14.02 19.79 – 17.70 – – 10.75 9.30 11.57 – 14.02 19.79 – 9.0 – – 5.8 7.1 3.0 – 4.6 4.1 – 9.0 – – 5.9 7.3 3.0 – 4.6 4.1 – Professional specialty and technical ............................ Professional specialty ................................................... 8 ...................................................................... 9 ...................................................................... Engineers, architects, and surveyors ....................... Mathematical and computer scientists ..................... Natural scientists ...................................................... Health related ........................................................... 8 ...................................................................... Registered nurses ................................................ 8 ...................................................................... Teachers, except college and university .................. Librarians, archivists, and curators ........................... Social scientists and urban planners ........................ Social, recreation, and religious workers .................. Lawyers and judges .................................................. Writers, authors, entertainers, athletes, and professionals, n.e.c. ............................................ Technical ...................................................................... 5 ...................................................................... 18.41 19.61 15.17 19.74 22.90 – – 20.00 17.02 19.73 17.02 – – – – – 5.0 5.4 5.7 3.8 4.8 – – 7.3 6.0 6.9 6.0 – – – – – 17.98 19.82 – 19.82 22.90 – – 18.80 – – – – – – – – 4.5 4.1 – 7.3 4.8 – – 5.8 – – – – – – – – 18.64 19.50 13.65 19.69 – – – – – – – – – – – – 7.2 7.9 4.9 4.3 – – – – – – – – – – – – – 13.31 11.83 – 5.8 3.3 – 11.97 – – 2.9 – – 14.35 – – 8.6 – Executive, administrative, and managerial .................. 9 ...................................................................... Executives, administrators, and managers ............... Managers and administrators, n.e.c. .................... Management related ................................................. 31.83 25.17 39.43 25.78 18.23 13.8 8.5 15.5 22.4 15.2 29.91 25.29 36.49 25.78 20.78 12.5 8.5 18.4 22.4 12.8 35.11 – – – – 29.0 – – – – Sales ................................................................................ 1 ...................................................................... 3 ...................................................................... 4 ...................................................................... Sales workers, other commodities ........................ Cashiers ............................................................... 3 ...................................................................... 9.73 5.89 6.96 11.03 8.60 6.61 6.76 14.9 1.8 6.8 12.2 18.2 3.9 4.7 9.75 5.89 6.90 – 8.60 6.51 6.65 15.2 1.8 6.9 – 18.2 3.8 4.6 – – – – – – – – – – – – – – Administrative support, including clerical ................... 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... Secretaries ........................................................... 10.70 7.48 8.02 10.16 10.50 12.07 11.06 3.4 4.7 4.9 5.0 4.4 5.3 10.4 10.84 – – 9.02 10.63 – – 4.9 – – 5.7 4.7 – – 10.46 – – 10.75 9.30 – – 4.0 – – 5.9 7.3 – – See footnotes at end of table. 10 Table 4-1.Selected occupations1 and levels,2 all workers:3 Mean hourly earnings,4 private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 — Continued Total Occupation and level Private industry State and local government Mean Relative error5 (percent) Mean Relative error5 (percent) Mean Relative error5 (percent) Administrative support, including clerical –Continued Bookkeepers, accounting and auditing clerks ...... 4 ...................................................................... Administrative support, n.e.c. ............................... 3 ...................................................................... 4 ...................................................................... $9.81 9.48 9.03 8.09 10.20 4.7 4.6 3.4 4.4 2.0 $9.41 9.48 8.73 – – 4.4 4.6 7.5 – – – – $9.29 – – – – 3.2 – – Blue collar ........................................................................... 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... 6 ...................................................................... 7 ...................................................................... 10.87 6.99 7.34 9.35 11.54 13.00 12.54 16.84 3.6 2.2 3.4 4.2 5.6 3.8 5.1 5.1 10.91 6.99 7.38 9.15 11.54 13.34 12.54 17.06 3.8 2.2 3.5 3.7 5.6 3.9 5.1 5.2 10.39 – – – – – – – 7.1 – – – – – – – Precision production, craft, and repair ........................ 5 ...................................................................... 7 ...................................................................... Supervisors, production ........................................ 13.63 13.11 17.06 15.92 4.6 5.4 5.2 11.2 13.70 13.33 17.06 15.92 4.7 5.8 5.2 11.2 – – – – – – – – Machine operators, assemblers, and inspectors ........ 2 ...................................................................... 4 ...................................................................... Assemblers ........................................................... 9.69 7.30 11.34 10.61 5.5 2.4 6.5 7.7 9.69 7.30 11.34 10.61 5.5 2.4 6.5 7.7 – – – – – – – – Transportation and material moving ............................ 10.86 5.8 10.07 10.2 – – Handlers, equipment cleaners, helpers, and laborers 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... Stock handlers and baggers ................................. 1 ...................................................................... 8.20 7.00 7.56 8.66 6.91 6.85 4.8 2.5 4.9 5.9 2.7 2.7 8.21 7.00 7.73 – 6.91 6.85 5.2 2.5 4.5 – 2.7 2.7 – – – – – – – – – – – – Service ................................................................................. 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... Protective service ..................................................... Food service ............................................................. Health service ........................................................... 3 ...................................................................... Nursing aides, orderlies and attendants ............... 3 ...................................................................... Cleaning and building service ................................... Janitors and cleaners ........................................... Personal service ....................................................... 9.68 8.09 6.57 7.43 15.38 5.95 7.92 7.61 7.83 7.44 8.03 8.03 8.81 7.5 4.2 16.8 7.5 7.3 20.6 4.4 5.7 4.5 5.5 7.2 7.2 2.1 7.18 – 6.57 6.76 – – 7.90 7.39 7.88 – – – – 8.3 – 16.8 9.9 – – 5.3 5.9 5.4 – – – – 11.60 8.29 – – 15.38 – – – – – – – – 7.8 3.8 – – 7.3 – – – – – – – – White collar –Continued 1 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 2 Each occupation for which data are collected in an establishment is evaluated based on 10 factors, including knowledge, complexity, work environment, etc. Points are assigned based on the occupation’s rank within each factor. The points are summed to determine the overall level of the occupation. See appendixes C and D for more information. 3 All workers include full-time and part-time workers. 4 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 5 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 11 Table 4-2. Selected occupations1 and levels,2 full-time workers:3 Mean hourly earnings,4 private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation and level Private industry State and local government Mean Relative error5 (percent) Mean Relative error5 (percent) Mean Relative error5 (percent) All ............................................................................................. All excluding sales ............................................................ $13.51 13.76 4.2 4.1 $12.50 12.73 4.6 4.2 $15.38 15.43 7.5 7.5 White collar ......................................................................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... 6 ...................................................................... 8 ...................................................................... 9 ...................................................................... White collar excluding sales ......................................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... 6 ...................................................................... 8 ...................................................................... 9 ...................................................................... 15.94 8.93 10.65 12.35 15.03 18.50 20.13 16.97 10.25 10.50 12.18 12.30 17.96 20.13 6.6 8.8 5.1 2.4 15.8 13.1 3.7 5.9 5.0 4.4 2.9 6.0 13.6 3.7 14.63 7.80 10.75 13.08 15.97 25.98 20.72 16.16 9.20 10.63 13.01 12.77 25.23 20.72 8.8 9.8 5.5 3.1 16.4 19.8 7.4 7.0 5.6 4.7 4.4 6.4 22.4 7.4 17.60 10.63 9.39 11.57 – 14.02 19.79 17.70 10.75 9.30 11.57 – 14.02 19.79 9.0 5.8 7.1 3.0 – 4.6 4.1 9.0 5.9 7.3 3.0 – 4.6 4.1 Professional specialty and technical ............................ Professional specialty ................................................... 8 ...................................................................... 9 ...................................................................... Engineers, architects, and surveyors ....................... Mathematical and computer scientists ..................... Natural scientists ...................................................... Health related ........................................................... Registered nurses ................................................ Teachers, except college and university .................. Librarians, archivists, and curators ........................... Social scientists and urban planners ........................ Social, recreation, and religious workers .................. Lawyers and judges .................................................. Writers, authors, entertainers, athletes, and professionals, n.e.c. ............................................ Technical ...................................................................... 5 ...................................................................... 18.22 19.45 14.83 19.60 22.90 – – 19.45 19.11 – – – – – 5.3 5.8 5.2 3.9 4.8 – – 9.3 9.0 – – – – – 17.32 19.33 – 19.39 22.90 – – 17.31 – – – – – – 5.0 4.8 – 8.1 4.8 – – 6.6 – – – – – – 18.64 19.50 13.65 19.69 – – – – – – – – – – 7.2 7.9 4.9 4.3 – – – – – – – – – – – 13.31 11.83 – 5.8 3.3 – 11.97 – – 2.9 – – 14.35 – – 8.6 – Executive, administrative, and managerial .................. 9 ...................................................................... Executives, administrators, and managers ............... Managers and administrators, n.e.c. .................... Management related ................................................. 31.83 25.17 39.43 25.78 18.23 13.8 8.5 15.5 22.4 15.2 29.91 25.29 36.49 25.78 20.78 12.5 8.5 18.4 22.4 12.8 35.11 – – – – 29.0 – – – – Sales ................................................................................ 3 ...................................................................... 4 ...................................................................... 10.89 7.26 11.03 18.4 10.2 12.2 10.96 7.20 – 19.0 10.4 – – – – – – – Administrative support, including clerical ................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... Secretaries ........................................................... Bookkeepers, accounting and auditing clerks ...... 4 ...................................................................... Administrative support, n.e.c. ............................... 4 ...................................................................... 10.84 10.25 10.50 12.07 11.06 9.81 9.48 9.27 10.20 3.5 5.0 4.4 5.3 10.4 4.7 4.6 2.9 2.0 11.07 9.20 10.63 – – 9.41 9.48 9.24 – 5.0 5.6 4.7 – – 4.4 4.6 5.4 – 10.46 10.75 9.30 – – – – 9.28 – 4.0 5.9 7.3 – – – – 3.2 – Blue collar ........................................................................... 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... 4 ...................................................................... 5 ...................................................................... 6 ...................................................................... 7 ...................................................................... 11.26 7.69 7.37 9.35 11.54 13.00 12.54 16.84 3.5 2.5 3.7 4.2 5.6 3.8 5.1 5.1 11.33 7.69 7.41 9.15 11.54 13.34 12.54 17.06 3.7 2.5 3.8 3.7 5.6 3.9 5.1 5.2 10.39 – – – – – – – 7.1 – – – – – – – See footnotes at end of table. 12 Table 4-2. Selected occupations1 and levels,2 full-time workers:3 Mean hourly earnings,4 private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 — Continued Total Occupation and level Private industry State and local government Mean Relative error5 (percent) Mean Relative error5 (percent) Mean Relative error5 (percent) Precision production, craft, and repair ........................ 5 ...................................................................... 7 ...................................................................... Supervisors, production ........................................ $13.72 13.11 17.06 15.92 4.5 5.4 5.2 11.2 $13.80 13.33 17.06 15.92 4.7 5.8 5.2 11.2 – – – – – – – – Machine operators, assemblers, and inspectors ........ 4 ...................................................................... Assemblers ........................................................... 9.73 11.34 10.85 5.6 6.5 7.3 9.73 11.34 10.85 5.6 6.5 7.3 – – – – – – Transportation and material moving ............................ 10.93 5.4 10.16 9.7 – – Handlers, equipment cleaners, helpers, and laborers 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... 8.91 7.89 7.67 8.66 4.3 2.1 5.0 5.9 9.03 7.89 – – 4.5 2.1 – – – – – – – – – – Service ................................................................................. 1 ...................................................................... 2 ...................................................................... 3 ...................................................................... Protective service ..................................................... Food service ............................................................. Health service ........................................................... Nursing aides, orderlies and attendants ............... Cleaning and building service ................................... Janitors and cleaners ........................................... Personal service ....................................................... 10.32 8.32 7.89 7.75 15.70 – 7.82 7.71 8.03 8.03 8.81 6.8 3.5 7.6 6.4 7.4 – 4.4 4.4 7.2 7.2 2.1 7.88 – 7.89 – – – 7.78 – – – – 3.3 – 7.6 – – – 5.3 – – – – $11.66 8.29 – – 15.70 – – – – – – 7.9 3.8 – – 7.4 – – – – – – Blue collar –Continued 1 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 2 Each occupation for which data are collected in an establishment is evaluated based on 10 factors, including knowledge, complexity, work environment, etc. Points are assigned based on the occupation’s rank within each factor. The points are summed to determine the overall level of the occupation. See appendixes C and D for more information. 3 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Therefore, a worker with a 35-hour-per-week schedule might be considered a full-time employee in one establishment, but classified as part-time in another firm, where a 40-hour week is the minimum full-time schedule. 4 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 5 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 13 Table 4-3. Selected occupations1 and levels,2 part-time workers:3 Mean hourly earnings,4 private industry and State and local government, National Compensation Survey, Ocala, FL, August 1999 Total Occupation and level Private industry State and local government Mean Relative error5 (percent) Mean Relative error5 (percent) Mean Relative error5 (percent) All ............................................................................................. All excluding sales ............................................................ $7.77 8.45 11.7 15.8 $7.75 8.45 12.0 16.3 – – – – White collar ......................................................................... 1 ...................................................................... 3 ...................................................................... White collar excluding sales ......................................... 9.97 5.85 6.18 16.59 13.7 1.4 4.2 15.7 9.97 5.85 6.18 16.64 13.8 1.4 4.2 15.7 – – – – – – – – Professional specialty and technical ............................ Professional specialty ................................................... Health related ........................................................... Registered nurses ................................................ 22.02 22.02 22.02 21.50 8.2 8.2 8.2 7.9 22.02 22.02 22.02 21.50 8.2 8.2 8.2 7.9 – – – – – – – – Sales ................................................................................ 1 ...................................................................... Cashiers ............................................................... 6.06 5.85 6.08 2.8 1.4 3.3 6.06 5.85 6.08 2.8 1.4 3.3 – – – – – – Administrative support, including clerical ................... 6.60 3.7 6.58 3.6 – – Blue collar ........................................................................... 1 ...................................................................... 6.11 5.85 2.6 1.4 6.11 5.85 2.6 1.4 – – – – Precision production, craft, and repair ........................ – – – – – – Machine operators, assemblers, and inspectors ........ – – – – – – Transportation and material moving ............................ – – – – – – Handlers, equipment cleaners, helpers, and laborers 1 ...................................................................... Stock handlers and baggers ................................. 1 ...................................................................... 5.92 5.84 5.98 5.88 2.2 1.4 2.2 1.3 5.92 5.84 5.98 5.88 2.2 1.4 2.2 1.3 – – – – – – – – Service ................................................................................. 3 ...................................................................... Protective service ..................................................... Food service ............................................................. Health service ........................................................... 5.77 6.27 – – – 19.6 30.2 – – – 5.53 – – – – 20.4 – – – – – – – – – – – – – – 1 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 2 Each occupation for which data are collected in an establishment is evaluated based on 10 factors, including knowledge, complexity, work environment, etc. Points are assigned based on the occupation’s rank within each factor. The points are summed to determine the overall level of the occupation. See appendixes C and D for more information. 3 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Therefore, a worker with a 35-hour-per-week schedule might be considered a full-time employee in one establishment, but classified as part-time in another firm, where a 40-hour week is the minimum full-time schedule. 4 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 5 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria, and n.e.c. means "not elsewhere classified." Overall occupational groups may include data for categories not shown separately. 14 Table 5-1. Selected worker characteristics: Mean hourly earnings1 by occupational group,2 National Compensation Survey, Ocala, FL, August 1999 Private industry and State and local government Occupational group Full-time workers3 Part-time workers3 Union4 Nonunion4 Time5 Incentive5 Mean All occupations ....................................................................... All excluding sales ........................................................ $13.51 13.76 $7.77 8.45 $15.75 15.75 $12.39 12.78 $12.56 13.04 $21.68 23.99 White collar ......................................................................... White-collar excluding sales ......................................... 15.94 16.97 9.97 16.59 – – 14.79 16.57 14.80 16.34 26.94 – Professional specialty and technical ................................. Professional specialty ................................................... Technical ...................................................................... Executive, administrative, and managerial ....................... Sales ................................................................................. Administrative support, including clerical .......................... 18.22 19.45 13.31 31.83 10.89 10.84 22.02 22.02 – – 6.06 6.60 – – – – – – 18.13 20.00 13.31 31.89 9.73 10.20 18.41 19.61 13.31 28.38 7.54 10.70 – – – – 18.51 – Blue collar ........................................................................... Precision production, craft, and repair .............................. Machine operators, assemblers, and inspectors .............. Transportation and material moving ................................. Handlers, equipment cleaners, helpers, and laborers ...... 11.26 13.72 9.73 10.93 8.91 6.11 – – – 5.92 15.40 – – – – 10.33 12.68 9.61 10.46 8.20 10.59 13.47 9.12 10.86 8.16 14.88 15.15 – – – Service ................................................................................. 10.32 5.77 10.38 9.44 9.68 – Relative error6 (percent) All occupations ....................................................................... All excluding sales ........................................................ 4.2 4.1 11.7 15.8 7.6 7.6 4.7 4.8 4.1 4.1 10.7 15.9 White collar ......................................................................... White-collar excluding sales ......................................... 6.6 5.9 13.7 15.7 – – 7.3 7.0 6.1 5.6 18.2 – Professional specialty and technical ................................. Professional specialty ................................................... Technical ...................................................................... Executive, administrative, and managerial ....................... Sales ................................................................................. Administrative support, including clerical .......................... 5.3 5.8 5.8 13.8 18.4 3.5 8.2 8.2 – – 2.8 3.7 – – – – – – 6.8 7.9 5.8 17.2 14.9 4.3 5.0 5.4 5.8 17.3 9.9 3.4 – – – – 5.5 – Blue collar ........................................................................... Precision production, craft, and repair .............................. Machine operators, assemblers, and inspectors .............. Transportation and material moving ................................. Handlers, equipment cleaners, helpers, and laborers ...... 3.5 4.5 5.6 5.4 4.3 2.6 – – – 2.2 7.1 – – – – 3.8 5.1 6.1 7.6 4.8 3.7 5.0 4.4 5.8 5.0 4.0 4.0 – – – Service ................................................................................. 6.8 19.6 6.8 9.8 7.5 – 1 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 3 Employees are classified as working either a full-time or a part-time schedule based on the definition used by each establishment. Therefore, a worker with a 35-hour-per-week schedule might be considered a full-time employee in one establishment, but classified as part-time in another firm, where a 40-hour week is the minimum full-time schedule. 4 Union workers are those whose wages are determined through collective bargaining. 5 Time workers’ wages are based solely on an hourly rate or salary; incentive workers are those whose wages are at least partially based on productivity payments such as piece rates, commissions, and production bonuses. 6 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria. 15 Table 5-2. Major industry division: Mean hourly earnings1 by occupational group,2 private industry, National Compensation Survey, Ocala, FL, August 1999 Full-time and part-time workers Goods-producing industries3 Occupational group All private industries Total Mining Construction Manufacturing Service-producing industries4 Total TransportFinance, Wholesale ation and insurance, and retail public utiland real trade ities estate Services Mean All occupations ............................................................. All excluding sales .............................................. $11.89 12.27 $12.60 12.60 – – – – $12.77 12.77 – – – – – – $10.57 11.00 $11.88 11.88 White collar ............................................................... White-collar excluding sales ............................... 14.01 16.20 17.57 17.57 – – – – 17.86 17.86 – – – – – – 11.66 – 15.51 15.51 Professional specialty and technical ....................... Professional specialty ......................................... Technical ............................................................ Executive, administrative, and managerial ............. Sales ....................................................................... Administrative support, including clerical ................ 17.98 19.82 11.97 29.91 9.75 10.84 18.42 22.43 – 28.70 – 9.31 – – – – – – – – – – – – 18.42 22.43 – 31.09 – 9.47 – – – – – – – – – – – – – – – – – – – – – – – – 17.45 18.42 – – – 9.30 Blue collar ................................................................. Precision production, craft, and repair .................... Machine operators, assemblers, and inspectors .... Transportation and material moving ....................... Handlers, equipment cleaners, helpers, and laborers ............................................................. 10.91 13.70 9.69 10.07 10.93 12.73 9.71 – – – – – – – – – 11.04 13.12 9.71 – – – – – – – – – – – – – – – – – – – – – 8.21 9.54 – – 9.12 – – – – – Service ....................................................................... 7.18 – – – – – – – – 7.80 Relative error5 (percent) All occupations ............................................................. All excluding sales .............................................. 4.6 4.5 5.7 5.7 – – – – 6.1 6.1 – – – – – – 20.9 19.0 9.8 9.8 White collar ............................................................... White-collar excluding sales ............................... 7.7 6.4 11.0 11.0 – – – – 11.3 11.3 – – – – – – 18.0 – 4.9 4.9 Professional specialty and technical ....................... Professional specialty ......................................... Technical ............................................................ Executive, administrative, and managerial ............. Sales ....................................................................... Administrative support, including clerical ................ 4.5 4.1 2.9 12.5 15.2 4.9 9.5 5.3 – 11.0 – 5.5 – – – – – – – – – – – – 9.5 5.3 – 8.1 – 5.3 – – – – – – – – – – – – – – – – – – – – – – – – 4.1 4.5 – – – 1.9 Blue collar ................................................................. Precision production, craft, and repair .................... Machine operators, assemblers, and inspectors .... Transportation and material moving ....................... Handlers, equipment cleaners, helpers, and laborers ............................................................. 3.8 4.7 5.5 10.2 4.5 5.6 5.5 – – – – – – – – – 4.7 5.0 5.5 – – – – – – – – – – – – – – – – – – – – – 5.2 6.2 – – 9.1 – – – – – Service ....................................................................... 8.3 – – – – – – – – 3.5 1 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 3 Goods-producing industries include mining, construction, and manufacturing. 4 Service-producing industries include transportation and public utilities; wholesale and retail trade; finance, insurance, and real estate; and services. 5 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria. 16 Table 5-3. Establishment employment size: Mean hourly earnings1 by occupational group,2 private industry, National Compensation Survey, Ocala, FL, August 1999 Full-time and part-time workers 100 workers or more Occupational group All private industry workers 50 - 99 workers3 Total 100 - 499 workers 500 workers or more Mean All occupations ....................................................................... All excluding sales ........................................................ $11.89 12.27 $9.90 10.60 $12.55 12.67 $11.75 11.82 $14.26 14.26 White collar ......................................................................... White-collar excluding sales ......................................... 14.01 16.20 11.61 16.39 15.09 16.15 13.65 14.68 18.78 18.78 Professional specialty and technical ................................. Professional specialty ................................................... Technical ...................................................................... Executive, administrative, and managerial ....................... Sales ................................................................................. Administrative support, including clerical .......................... 17.98 19.82 11.97 29.91 9.75 10.84 – – – 30.74 8.52 8.81 17.80 19.65 11.97 29.40 11.27 11.46 – 17.77 – – 11.27 11.74 18.44 – 11.79 – – – Blue collar ........................................................................... Precision production, craft, and repair .............................. Machine operators, assemblers, and inspectors .............. Transportation and material moving ................................. Handlers, equipment cleaners, helpers, and laborers ...... 10.91 13.70 9.69 10.07 8.21 8.57 9.90 – – 7.90 11.38 14.36 9.73 – 8.39 11.00 14.58 8.42 – 8.07 12.04 13.97 10.75 – – Service ................................................................................. 7.18 5.94 7.75 7.47 – Relative error4 (percent) All occupations ....................................................................... All excluding sales ........................................................ 4.6 4.5 15.2 17.0 4.5 4.6 5.8 5.9 5.9 5.9 White collar ......................................................................... White-collar excluding sales ......................................... 7.7 6.4 21.6 22.3 6.2 6.3 7.7 8.3 8.8 8.8 Professional specialty and technical ................................. Professional specialty ................................................... Technical ...................................................................... Executive, administrative, and managerial ....................... Sales ................................................................................. Administrative support, including clerical .......................... 4.5 4.1 2.9 12.5 15.2 4.9 – – – 28.7 21.1 4.6 4.5 4.2 2.9 8.4 18.5 5.9 – 6.9 – – 18.5 6.6 6.7 – 3.5 – – – Blue collar ........................................................................... Precision production, craft, and repair .............................. Machine operators, assemblers, and inspectors .............. Transportation and material moving ................................. Handlers, equipment cleaners, helpers, and laborers ...... 3.8 4.7 5.5 10.2 5.2 8.5 16.5 – – 9.8 4.4 4.3 5.6 – 6.4 6.2 5.6 7.5 – 6.6 5.2 6.4 6.3 – – Service ................................................................................. 8.3 21.6 3.1 2.5 – 1 Earnings are the straight-time hourly wages or salaries paid to employees. They include incentive pay, cost-of-living adjustments, and hazard pay. Excluded are premium pay for overtime, vacations, holidays, nonproduction bonuses, and tips. The mean is computed by totaling the pay of all workers and dividing by the number of workers, weighted by hours. 2 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. 3 Establishments classified with 50-99 workers may contain establishments with fewer than 50 due to staff reductions between survey sampling and collection. 4 The relative standard error (RSE) is the standard error expressed as a percent of the estimate. It can be used to calculate a "confidence interval" around a sample estimate. For more information about RSEs, see appendix A. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria. 17 Appendix A: Technical Note T ployment sampling at each stage. The first stage of sample selection was a probability sample of establishments. The sample of establishments was drawn by first stratifying the sampling frame by industry and ownership. The number of sample establishments allocated to each stratum is approximately proportional to the stratum employment. Each sampled establishment is selected within a stratum with a probability proportional to its employment. Use of this technique means that the larger an establishment’s employment, the greater its chance of selection. Weights were applied to each establishment when the data were tabulated so that it represents similar units (by industry and employment size) in the economy which were not selected for collection. See appendix table 1 for a count of establishments in the survey by employment size. The second stage of sample selection, detailed below, was a probability sample of occupations within a sampled establishment. his section provides basic information on the procedures and concepts used to produce the data contained in this bulletin. It is divided into three parts: Planning for the survey; data collection; and processing and analyzing the data. Although this section answers some questions commonly asked by data users, it is not a comprehensive description of all the steps required to produce the data. Planning for the survey The overall design of the survey includes questions of scope, frame, and sample selection. Survey scope This survey covered establishments employing 50 workers or more in goods-producing industries (mining, construction and manufacturing); service-producing industries (transportation, communications, electric, gas, and sanitary services; wholesale trade; retail trade; finance, insurance, and real estate; and services industries); and State and local governments. Agriculture, private households, and the Federal Government were excluded from the scope of the survey. For purposes of this survey an establishment is an economic unit that produces goods or services, a central administrative office, or an auxiliary unit providing support services to a company. For private industries in this survey, the establishment is usually at a single physical location. For State and local governments, an establishment is defined as all locations of a government entity. The Ocala, FL, Metropolitan Statistical Area includes Marion County. Data collection The collection of data from survey respondents required detailed procedures. Field economists collected the data, working out of the Regional Office and visiting each establishment surveyed. Other contact methods, such as mail and telephone, were used to follow-up and update data. Occupational selection and classification Identification of the occupations for which wage data were to be collected was a multi-step process: 1. Probability-proportional-to-size selection of establishment jobs 2. Classification of jobs into occupations based on the Census of Population system 3. Characterization of jobs as full-time v. part-time, union v. nonunion, and time v. incentive 4. Determination of the level of work of each job Sampling frame The list of establishments from which the survey sample was selected (sampling frame) was developed from State unemployment insurance reports. Due to the volatility of industries within the private sector, sampling frames were developed using the most recent month of reference available at the time the sample was selected. The sampling frame was reviewed prior to the survey and, when necessary, missing establishments were added, out-of-business and out-of-scope establishments were removed, and addresses, employment levels, industry classification, and other information were updated. For each occupation, wage data were collected for those workers who met all the criteria identified in the last three steps. Special procedures were developed for jobs for which a correct classification or level could not be determined. In step one, the jobs to be sampled were selected at each establishment by the BLS field economist during a personal visit. A complete list of employees was used for sampling, with each selected worker representing a job within the establishment. Sample design The sample for this survey area was selected using a twostage stratified design with probability proportional to em- A-1 As with the selection of establishments, the selection of a job was based on probability proportional to its size in the establishment. The greater the number of people working in a job in the establishment, the greater its chance of selection. The number of jobs collected in each establishment was based on an establishment’s employment size as shown in the following schedule: Number of employees 50-99 100-249 250-999 1000-2,499 2,500+ Number of selected jobs 8 10 12 16 20 The second step of the process entailed classifying the selected jobs into occupations based on their duties. The National Compensation Survey occupational classification system is based on the 1990 Census of Population. A selected job may fall into any one of about 480 occupational classifications, from accountant to wood lathe operator. In cases where a job’s duties overlapped two or more census classification codes, the duties used to set the wage level were used to classify the job. Classification by primary duties was the fallback. Each occupational classification is an element of a broader classification known as a major occupational group (MOG). Occupations can fall into any of the following MOGs: · · · · · · · · · Professional specialty and technical Executive, administrative, and managerial Sales Administrative support including clerical Precision production, craft, and repair Machine operators, assemblers, and inspectors Transportation and material moving Handlers, equipment cleaners, helpers, and laborers Service occupations Appendix B contains a complete list of all individual occupations, classified by the MOG to which they belong. In step three, certain other job characteristics of the chosen worker were identified. First, the worker was identified as holding either a full-time or part-time job, based on the establishment’s definition of those terms. Then the worker was classified as having a time versus incentive job, depending on whether any part of pay was directly based on the actual production of the worker, rather than solely on hours worked. Finally, the worker was identified as being in a union job or a nonunion job. See the “Definition of Terms” section on the following page for more detail. A-2 Generic leveling through point factor analysis In the last step before wage data were collected, the work level of each selected job was determined using a “generic leveling” process. Generic leveling ranks and compares all occupations randomly selected in an establishment using the same criteria. This is a major departure from the method used in the past in the Bureau’s Occupational Compensation Surveys which studied specifically defined occupations with leveling definitions unique to each occupation. For this survey, the level of each occupation in an establishment was determined by an analysis of each of 10 leveling factors. Nine of these factors are drawn from the U.S. Government Office of Personnel Management’s Factor Evaluation System, which is the underlying structure for evaluation of General Schedule Federal employees. The tenth factor, supervisory duties, attempts to account for the effect of supervisory duties. It is considered experimental. The 10 factors are: · · · · · · · · · · Knowledge Supervision received Guidelines Complexity Scope and effect Personal contacts Purpose of contacts Physical demands Work environment Supervisory duties Each factor contains a number of levels and each level has an associated written description and point value. The number and range of points differ among the factors. For each factor, an occupation was assigned a level based on which written description best matched the job. Within each occupation, the points for nine factors (supervisory duties was excluded) were recorded and totaled. The total determines the overall level of the occupation. Appendix table 3 presents average work levels for published occupational groups and selected occupations. A description of the levels for each factor is shown in appendix C. Tabulations of levels of work for occupations in the survey follow the Federal Government’s white-collar General Schedule. Point ranges for each of the 15 levels are shown in appendix D. It also includes an example of a job with its associated leveling factors, and a guide to help data users evaluate jobs in their firms Wage data collected in prior surveys using the new generic leveling method were evaluated by BLS researchers using regression techniques. For each of the major occupational groups, wages were compared to the 10 generic level factors (and levels within those factors). The analysis showed that several of the generic level factors, most notably knowledge and supervision received, had strong explanatory power for wages. That is, as the levels within a given factor increased, the wages also increased. Detailed research continues in the area and will be published by BLS in the future. Incentive worker. Any employee whose earnings are tied, at least in part, to commissions, piece rates, production bonuses, or other incentives based on production or sales. Collection period Survey data were collected over a 13-month period for 60 metropolitan areas in the NCS program. For 20 small metropolitan areas, data were collected over a 4-month period. For each establishment in the survey, the data reflect the establishment’s most recent information at the time of collection. The payroll reference month shown in the tables reflects the average date of this information for all sample units. Level. A ranking of an occupation based on the requirements of the position. (See the description in the technical note and the example for more details on the leveling process.) Earnings Earnings were defined as regular payments from the employer to the employee as compensation for straight-time hourly work, or for any salaried work performed. The following components were included as part of earnings: · · · · · Incentive pay, including commissions, production bonuses, and piece rates Cost-of-living allowances Hazard pay Payments of income deferred due to participation in a salary reduction plan Deadhead pay, defined as pay given to transportation workers returning in a vehicle without freight or passengers The following forms of payments were not considered part of straight-time earnings: · · · · · · · Shift differentials, defined as extra payment for working a schedule that varies from the norm, such as night or weekend work Premium pay for overtime, holidays, and weekends Bonuses not directly tied to production (e.g., Christmas and profit-sharing bonuses) Uniform and tool allowances Free room and board Payments made by third parties (e.g., tips, bonuses given by manufacturers to department store salespeople, referral incentives in real estate) On-call pay To calculate earnings for various time periods (hourly, weekly, and annual), data on work schedules were also collected. For hourly workers, scheduled hours worked per day and per week, exclusive of overtime, were recorded. Annual weeks worked were determined. Because salaried workers, exempt from overtime provisions, often work beyond the assigned work schedule, their typical number of hours actually worked was collected. Definition of terms Full-time worker. Any employee that the employer considers to be full time. A-3 Nonunion worker. An employee in an occupation not meeting the conditions for union coverage (see below). Part-time worker. Any employee that the employer considers to be part-time. Straight-time. Time worked at the standard rate of pay for the job. Time-based worker. Any employee whose earnings are tied to an hourly rate or salary, and not to a specific level of production. Union worker. Any employee is in a union occupation when all of the following conditions are met: · · · A labor organization is recognized as the bargaining agent for all workers in the occupation Wage and salary rates are determined through collective bargaining or negotiations Settlement terms, which must include earnings provisions and may include benefit provisions, are embodied in a signed mutually binding collective bargaining agreement Processing and analyzing the data Data were processed and analyzed at the Bureau’s National Office following collection. Weighting and nonresponse Sample weights were calculated for each establishment and occupation in the survey. These weights reflected the relative size of the occupation within the establishment and of the establishment within the sample universe. Weights were used to aggregate the individual establishments or occupations into the various data series. Some of the establishments surveyed could not supply or refused to supply information. If data were not provided by a sample member, the weights of responding sample members in the same or similar “cells” were adjusted to account for the missing data. This technique assumes that the mean value of the nonrespondents equals the mean value of the respondents at some detailed “cell” level. Responding and nonresponding establishments were classified into these cells according to industry and employment size. Responding and nonresponding occupations within responding establishments were classified into cells that were additionally defined by major occupation group and job level. Establishments that were determined to be out of business or outside the scope of the survey had their weights changed to zero. If only partial data were given by a sample establishment or occupation, or data were missing, the response was treated as a refusal. Survey response Total in sample Responding Out of business or not in survey scope Unable or refused to provide data Establishments 101 64 8 29 Some surveys may have a high nonresponse rate for the all industries or private industry iterations. Such instances are noted in the bulletin table footnotes. Estimation The wage series in the tables are computed by combining the wages for each sampled occupation. Before being combined, individual wage rates are weighted by number of workers; the sample weight adjusted for nonresponding establishments and other factors; and the occupation work schedule, varying depending on whether hourly, weekly, or annual rates are being calculated. Not all calculated series met the criteria for publication. Before any series was published, it was reviewed to make sure that the number of observations underlying it was sufficient. This review prevented publishing a series that could have revealed information about a specific establishment. Estimates of the number of workers represent the total in all establishments within the scope of the study and not the number actually surveyed. Because occupational structures among establishments differ, estimates of the number of workers obtained from the sample of establishments serve only to indicate the relative importance of the occupational groups studied. A-4 Data reliability The data in this bulletin are estimates from a scientifically selected probability sample. There are two types of errors possible in an estimate based on a sample survey, sampling and nonsampling. Sampling errors occur because observations come only from a sample and not from an entire population. The sample used for this survey is one of a number of possible samples of the same size that could have been selected using the sample design. Estimates derived from the different samples would differ from each other. A measure of the variation among these differing estimates is called the standard error or sampling error. It indicates the precision with which an estimate from a particular sample approximates the average result of all possible samples. The relative standard error (RSE) is the standard error divided by the estimate. RSE data are provided alongside the earnings in the bulletin tables. The standard error can be used to calculate a “confidence interval” around a sample estimate. As an example, suppose a table shows that mean hourly earnings for all workers was $12.79 with a relative standard error of 3.6 percent for this estimate. At the 90-percent level, the confidence interval for this estimate is $13.55 to $12.03 (1.645 times 3.6 percent = 5.922 percent times $12.27, plus or minus $0.76). If all possible samples were selected to estimate the population value, the interval from each sample would include the true population value approximately 90 percent of the time. Nonsampling errors also affect survey results. They can stem from many sources, such as inability to obtain information for some establishments, difficulties with survey definitions, inability of the respondents to provide correct information, or mistakes in recording or coding the data obtained. A Technical Reinterview Program done in all survey areas will be used in the development of a formal quality assessment process to help compute nonsampling error. Although they were not specifically measured, the nonsampling errors were expected to be minimal due to the extensive training of the field economists who gathered the survey data by personal visit, computer edits of the data, and detailed data review. Appendix table 1. Number of workers1 represented by the survey, by occupational group,2 National Compensation Survey, Ocala, FL, August 1999 Full-time and part-time workers Occupational group State and local government Total Private industry All occupations ....................................................................... All excluding sales ........................................................ 36,300 32,600 23,800 20,200 12,500 12,400 White collar ......................................................................... White-collar excluding sales ......................................... 18,200 14,400 10,600 6,900 7,600 7,500 Professional specialty and technical ................................. Professional specialty ................................................... Technical ...................................................................... Executive, administrative, and managerial ....................... Sales ................................................................................. Administrative support, including clerical .......................... 7,300 6,100 1,200 1,500 3,700 5,600 2,500 2,000 500 900 3,700 3,500 4,800 4,100 700 – – 2,200 Blue collar ........................................................................... Precision production, craft, and repair .............................. Machine operators, assemblers, and inspectors .............. Transportation and material moving ................................. Handlers, equipment cleaners, helpers, and laborers ...... 11,800 4,000 3,100 1,300 3,400 10,600 3,900 3,100 600 3,100 1,200 – – – – Service ................................................................................. 6,400 2,600 3,700 1 The number of workers represented by the survey are rounded to the nearest 100. Estimates of the number of workers provide a description of size and composition of the labor force included in the survey. Estimates are not intended, however, for comparison to other statistical series to measure employment trends or levels. Both full-time and part-time workers were included in the survey. 2 A classification system including about 480 individual occupations is used to cover all workers in the civilian economy. See appendix B for more information. NOTE: Dashes indicate that no data were reported or that data did not meet publication criteria. A-5 Appendix table 2. Number of establishments represented by survey and the number studied by industry division and establishment employment size, Ocala, FL, August 1999 Number of establishments studied Industry All industries ....................................................................................... Private industry ............................................................................... Goods-producing industries ........................................................ Construction ........................................................................... Manufacturing ......................................................................... Service-producing industries ...................................................... Transportation and public utilities ........................................... Wholesale and retail trade ...................................................... Finance, insurance and real estate ........................................ Services .................................................................................. State and local government ............................................................ Number of establishments repreTotal studied sented1 200 200 100 (3) (3) 200 (3) 100 (3) (3) (3) 1 Number of establishments represented by the survey rounded to the nearest 100. 2 Establishments classified with 50-99 workers may contain establishments with fewer than 50 due to staff reductions between survey sampling and collection. 3 Number of establishments represented by the survey is fewer than 50. 52 43 16 2 14 27 1 15 3 8 9 100 workers or more 50 - 99 workers2 100 - 499 workers Total 18 16 2 1 1 14 – 8 2 4 2 34 27 14 1 13 13 1 7 1 4 7 22 21 9 1 8 12 1 7 1 3 1 500 workers or more 12 6 5 – 5 1 – – – 1 6 NOTE: Dashes indicate that no data were reported. Overall industry and industry groups may include data for categories not shown separately. A-6
@FedFRASER