Brownsville-Harlingen-San Benito, TX

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 3100-05
iii

Preface

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,

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.

D
v

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

2-1. Mean hourly earnings: Selected occupations, all workers, private industry,

 and State and local government.................................................................................................... 3

2-2. Mean hourly earnings: Selected occupations, full-time workers, private industry,

 and State and local government.................................................................................................... 5

2-3. Mean hourly earnings: Selected occupations, part-time workers, private industry,

 and State and local government.................................................................................................... 7

3-1. Mean weekly earnings and hours: Selected occupations, full-time workers, private industry,

 and State and local government.................................................................................................... 8

3-2. Mean annual earnings and hours: Selected occupations, full-time workers, private industry,

 and State and local government.................................................................................................... 10

4-1. Selected occupations and levels, all workers: Mean hourly earnings, private industry,

 and State and local government.................................................................................................... 12

4-2. Selected occupations and levels, full-time workers: Mean hourly earnings, private industry,

 and State and local government.................................................................................................... 15

4-3. Selected occupations and levels, part-time workers: Mean hourly earnings, private industry,

 and State and local government.................................................................................................... 18

5-1. Selected worker characteristics: Mean hourly earnings by occupational group ............................ 19

5-2. Major industry division: Mean hourly earnings by occupational group, private industry ............. 20

5-3. Establishment employment size: Mean hourly earnings by occupational group, private industry. 21

Appendixes:

A. Technical Note................................................................................................................................. A - 1

 Appendix table 1. Number of workers represented by the survey, by occupational group............ A - 5

 Appendix table 2. Number of establishments studied and represented.......................................... A - 6

B. Occupational Classifications............................................................................................................ B - 1

C. Generic Leveling Criteria................................................................................................................. C - 1

D. Evaluating Your Firm’s Jobs ........................................................................................................... D - 1

E. A Guide for Users of Prior BLS Wage Surveys............................................................................... E - 1
1

Introduction

he tables in this bulletin summarize the NCS results for

the Brownsville-Harlingen-San Benito, TX, metropolitan area. Tabulations 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

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.

T
Table 1-1. Summary: Mean hourly earnings1 and weekly hours by selected characteristics, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Worker and establishment characteristics

Total Private industry State and local government

Hourly earnings

Mean

weekly

hours3

Hourly earnings

Mean

weekly

hours3

Hourly earnings

Mean

weekly

hours Mean 3

Relative

error2

(percent)

Mean

Relative

error2

(percent)

Mean

Relative

error2

(percent)

Total ........................................................................... $11.15 3.4 35.9 $9.40 4.0 34.4 $14.34 5.2 39.1

Worker characteristics:4

White-collar occupations5 ....................................... 15.27 4.2 37.6 13.42 5.7 36.6 17.16 5.5 38.7

Professional specialty and technical ................... 19.72 3.4 38.2 16.92 5.3 38.2 21.18 4.0 38.2

Executive, administrative, and managerial ......... 23.47 7.9 40.6 24.26 12.5 41.2 22.73 9.7 40.0

Sales ................................................................... 9.48 10.1 34.1 9.48 10.1 34.1 – – –

Administrative support ........................................ 9.58 8.8 37.7 10.48 14.3 36.5 8.69 5.8 39.0

Blue-collar occupations5 ......................................... 8.49 2.8 38.4 8.23 2.8 38.4 10.09 7.7 38.0

Precision production, craft, and repair ................ 12.37 6.7 39.8 12.14 8.7 39.8 12.92 10.8 40.0

Machine operators, assemblers, and

inspectors ......................................................... 7.45 2.2 38.8 7.45 2.2 38.8 – – –

Transportation and material moving ................... 9.33 7.5 41.8 10.19 8.1 46.7 7.65 7.8 34.6

Handlers, equipment cleaners, helpers,

and laborers ...................................................... 6.34 3.2 34.9 6.16 3.4 34.3 7.68 5.4 40.0

Service occupations5 .............................................. 6.70 3.5 31.3 5.56 2.5 27.9 8.90 6.0 40.9

Full time .................................................................. 12.10 3.5 39.9 10.45 4.5 40.0 14.47 5.2 39.8

Part time ................................................................. 5.72 4.2 22.9 5.69 4.4 23.0 6.43 7.6 19.9

Union ...................................................................... 16.01 18.3 37.9 13.76 27.2 40.5 – – –

Nonunion ................................................................ 10.97 3.4 35.9 9.19 3.7 34.2 14.11 5.4 39.4

Time ........................................................................ 11.39 3.6 35.4 9.48 4.8 33.4 14.34 5.2 39.1

Incentive ................................................................. 8.95 3.8 41.6 8.95 3.8 41.6 – – –

Establishment characteristics:

Goods producing .................................................... 6 ( ) 6 ( ) 6 ( ) 8.91 5.1 39.5 6 ( ) 6 ( ) 6 ( )

Service producing ................................................... 6 ( ) 6 ( ) 6 ( ) 9.63 5.3 32.5 6 ( ) 6 ( ) 6 ( )

50-99 workers7 ....................................................... 9.21 11.0 35.3 9.04 12.0 35.1 11.56 6.7 40.2

100-499 workers ..................................................... 10.32 4.4 35.1 9.04 5.4 34.5 15.98 5.9 38.2

500 workers or more ............................................... 12.54 5.1 36.8 10.27 7.1 33.7 14.08 6.5 39.3

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, 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, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation3

Total Private industry State and local

 government

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

All ............................................................................................. $11.15 3.4 $9.40 4.0 $14.34 5.2

All excluding sales ............................................................ 11.27 3.5 9.39 4.3 14.34 5.2

White collar ......................................................................... 15.27 4.2 13.42 5.7 17.16 5.5

White collar excluding sales ......................................... 16.25 4.1 15.00 5.7 17.16 5.5

Professional specialty and technical ............................ 19.72 3.4 16.92 5.3 21.18 4.0

Professional specialty ................................................... 21.39 3.3 20.70 5.7 21.57 3.9

Engineers, architects, and surveyors ....................... ––––––

Mathematical and computer scientists ..................... ––––––

Health related ........................................................... 21.51 6.0 21.62 6.1 – –

Registered nurses ................................................ 21.02 4.8 21.14 5.0 – –

Teachers, college and university .............................. ––––––

Teachers, except college and university .................. 23.88 2.4 – – 24.03 2.4

Elementary school teachers ................................. 25.36 1.7 – – 25.36 1.7

Secondary school teachers .................................. 24.45 1.4 – – 24.48 1.4

Librarians, archivists, and curators ........................... ––––––

Social, recreation, and religious workers .................. 12.73 5.2 – – 12.63 5.3

Social workers ...................................................... 12.73 5.2 – – 12.63 5.3

Writers, authors, entertainers, athletes, and

professionals, n.e.c. ............................................ ––––––

Technical ...................................................................... 13.01 5.6 13.29 5.7 10.96 16.0

Licensed practical nurses ..................................... 13.71 4.2 13.45 4.1 – –

Health technologists and technicians, n.e.c. ........ 12.42 11.6 – – – –

Executive, administrative, and managerial .................. 23.47 7.9 24.26 12.5 22.73 9.7

Executives, administrators, and managers ............... 24.76 7.9 24.52 12.5 25.06 9.1

Administrators and officials, public administration 24.41 31.2 – – 24.41 31.2

Managers and administrators, n.e.c. .................... 23.02 9.6 – – – –

Management related ................................................. 15.76 10.8 – – – –

Sales ................................................................................ 9.48 10.1 9.48 10.1 – –

Sales workers, other commodities ........................ 7.41 8.6 7.41 8.6 – –

Cashiers ............................................................... 6.86 7.3 6.86 7.3 – –

Administrative support, including clerical ................... 9.58 8.8 10.48 14.3 8.69 5.8

Secretaries ........................................................... 9.73 6.5 – – 9.99 7.7

Records clerks, n.e.c. ........................................... 7.18 4.0 – – – –

Bookkeepers, accounting and auditing clerks ...... 7.79 1.8 7.75 4.9 – –

General office clerks ............................................. 8.94 5.5 9.52 10.8 8.65 6.9

Teachers’ aides .................................................... 7.20 7.2 – – 7.20 7.2

Blue collar ........................................................................... 8.49 2.8 8.23 2.8 10.09 7.7

Precision production, craft, and repair ........................ 12.37 6.7 12.14 8.7 12.92 10.8

Water and sewer treatment plant operators ......... 9.33 7.4 – – 9.33 7.4

Machine operators, assemblers, and inspectors ........ 7.45 2.2 7.45 2.2 – –

Textile sewing machine operators ........................ 7.95 2.6 7.95 2.6 – –

Miscellaneous machine operators, n.e.c. ............. 7.14 4.9 7.14 4.9 – –

Transportation and material moving ............................ 9.33 7.5 10.19 8.1 7.65 7.8

Truck drivers ......................................................... 9.90 9.3 9.99 9.5 – –

Handlers, equipment cleaners, helpers, and laborers 6.34 3.2 6.16 3.4 7.68 5.4

Helpers, construction trades ................................. 6.29 .9 – – – –

Stock handlers and baggers ................................. 5.98 6.7 5.98 6.7 – –

Freight, stock, and material handlers, n.e.c. ......... 8.30 9.6 8.30 9.6 – –

Laborers, except construction, n.e.c. .................... 6.71 7.3 – – 7.45 5.7

Service ................................................................................. 6.70 3.5 5.56 2.5 8.90 6.0

Protective service ..................................................... 10.05 12.2 – – 11.46 6.4

Police and detectives, public service .................... 13.15 6.6 – – 13.15 6.6

Food service ............................................................. 5.64 5.7 4.99 5.6 7.16 7.1

Waiters and waitresses ........................................ 2.70 9.3 2.70 9.3 – –

Cooks ................................................................... 5.96 3.0 – – – –

See footnotes at end of table.

3
Table 2-1. Mean hourly earnings1, all workers:2 Selected occupations, private industry and State and local government,

National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999 — Continued

Occupation3

Total Private industry State and local

 government

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Service –Continued

Food service –Continued

Food counter, fountain, and related ...................... $5.96 7.3 $5.96 7.3 – –

Kitchen workers, food preparation ........................ 5.97 3.5 – – – –

Health service ........................................................... 8.24 6.4 6.87 4.1 – –

Health aides, except nursing ................................ 9.93 9.1 – – – –

Nursing aides, orderlies and attendants ............... 7.07 7.0 6.11 2.3 – –

Cleaning and building service ................................... 6.62 7.0 5.83 2.0 $7.16 10.8

Maids and housemen ........................................... 5.79 3.6 5.79 3.6 – –

Janitors and cleaners ........................................... 6.88 8.8 5.89 3.0 7.14 10.9

Personal service ....................................................... 5.34 1.2 5.30 1.2 – –

Welfare service aides ........................................... 5.23 .6 5.21 .0 – –

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. 

4
Table 2-2. Mean hourly earnings1, full-time workers:2 Selected occupations, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation3

Total Private industry State and local

 government

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

All ............................................................................................. $12.10 3.5 $10.45 4.5 $14.47 5.2

All excluding sales ............................................................ 12.18 3.7 10.43 4.7 14.47 5.2

White collar ......................................................................... 15.94 4.1 14.32 5.9 17.40 5.5

White collar excluding sales ......................................... 16.56 4.1 15.37 6.1 17.40 5.5

Professional specialty and technical ............................ 19.99 3.3 16.87 5.5 21.64 3.7

Professional specialty ................................................... 21.78 3.1 20.74 5.9 22.06 3.6

Engineers, architects, and surveyors ....................... ––––––

Mathematical and computer scientists ..................... ––––––

Health related ........................................................... 21.61 6.3 21.72 6.5 – –

Registered nurses ................................................ 21.14 5.1 21.28 5.4 – –

Teachers, college and university .............................. ––––––

Teachers, except college and university .................. 24.60 1.6 – – 24.77 1.5

Elementary school teachers ................................. 25.36 1.7 – – 25.36 1.7

Secondary school teachers .................................. 24.45 1.4 – – 24.48 1.4

Librarians, archivists, and curators ........................... ––––––

Social, recreation, and religious workers .................. 12.73 5.2 – – 12.63 5.3

Social workers ...................................................... 12.73 5.2 – – 12.63 5.3

Writers, authors, entertainers, athletes, and

professionals, n.e.c. ............................................ ––––––

Technical ...................................................................... 13.01 5.7 13.30 5.8 10.96 16.0

Licensed practical nurses ..................................... 13.74 4.2 13.47 4.1 – –

Health technologists and technicians, n.e.c. ........ 12.42 11.6 – – – –

Executive, administrative, and managerial .................. 23.47 7.9 24.26 12.5 22.73 9.7

Executives, administrators, and managers ............... 24.76 7.9 24.52 12.5 25.06 9.1

Administrators and officials, public administration 24.41 31.2 – – 24.41 31.2

Managers and administrators, n.e.c. .................... 23.02 9.6 – – – –

Management related ................................................. 15.76 10.8 – – – –

Sales ................................................................................ 10.73 12.7 10.73 12.7 – –

Sales workers, other commodities ........................ 7.64 11.3 7.64 11.3 – –

Administrative support, including clerical ................... 9.76 9.0 10.88 14.8 8.74 5.8

Secretaries ........................................................... 10.00 6.5 – – 9.99 7.7

Records clerks, n.e.c. ........................................... 7.18 4.0 – – – –

Bookkeepers, accounting and auditing clerks ...... 7.82 1.8 – – – –

General office clerks ............................................. 9.09 5.4 9.54 11.1 8.86 6.4

Teachers’ aides .................................................... 7.20 7.2 – – 7.20 7.2

Blue collar ........................................................................... 8.66 2.9 8.41 2.9 10.14 7.9

Precision production, craft, and repair ........................ 12.37 6.7 12.14 8.7 12.92 10.8

Water and sewer treatment plant operators ......... 9.33 7.4 – – 9.33 7.4

Machine operators, assemblers, and inspectors ........ 7.53 2.3 7.53 2.3 – –

Textile sewing machine operators ........................ 7.95 2.6 7.95 2.6 – –

Miscellaneous machine operators, n.e.c. ............. 7.14 4.9 7.14 4.9 – –

Transportation and material moving ............................ 9.34 7.8 10.17 8.1 – –

Truck drivers ......................................................... 9.87 9.4 9.96 9.6 – –

Handlers, equipment cleaners, helpers, and laborers 6.46 3.5 6.25 3.8 7.68 5.4

Helpers, construction trades ................................. 6.29 .9 – – – –

Stock handlers and baggers ................................. 6.31 8.9 6.31 8.9 – –

Laborers, except construction, n.e.c. .................... 6.71 7.3 – – 7.45 5.7

Service ................................................................................. 7.65 4.4 6.18 4.0 8.90 6.0

Protective service ..................................................... 10.38 10.3 – – 11.47 6.4

Police and detectives, public service .................... 13.15 6.6 – – 13.15 6.6

Food service ............................................................. 6.39 6.7 5.56 9.9 7.16 7.1

Waiters and waitresses ........................................ 3.24 16.6 3.24 16.6 – –

Cooks ................................................................... 6.39 1.7 6.31 2.4 – –

Food counter, fountain, and related ...................... 6.93 8.7 6.93 8.7 – –

Health service ........................................................... 8.35 6.5 6.92 4.2 – –

See footnotes at end of table.

5
Table 2-2. Mean hourly earnings1, full-time workers:2 Selected occupations, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999 — Continued

Occupation3

Total Private industry State and local

 government

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Service –Continued

Health service –Continued

Health aides, except nursing ................................ $9.93 9.1 – – – –

Nursing aides, orderlies and attendants ............... 7.17 7.6 $6.10 2.4 – –

Cleaning and building service ................................... 6.70 7.5 5.85 2.5 $7.16 10.8

Maids and housemen ........................................... 5.81 4.6 5.81 4.6 – –

Janitors and cleaners ........................................... 6.92 9.2 5.92 3.5 7.14 10.9

Personal service ....................................................... 6.10 6.3 – – – –

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 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. 

6
Table 2-3. Mean hourly earnings1, part-time workers:2 Selected occupations, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation3

Total Private industry State and local

 government

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

All ............................................................................................. $5.72 4.2 $5.69 4.4 $6.43 7.6

All excluding sales ............................................................ 5.54 3.7 5.50 3.9 6.43 7.6

White collar ......................................................................... 7.28 7.0 7.49 7.4 – –

White collar excluding sales ......................................... 8.03 13.1 9.05 17.5 – –

Professional specialty and technical ............................ 10.04 27.0 – – – –

Professional specialty ................................................... 9.95 28.2 – – – –

Health related ........................................................... ––––––

Teachers, except college and university .................. ––––––

Technical ...................................................................... ––––––

Sales ................................................................................ 6.79 8.2 6.79 8.2 – –

Cashiers ............................................................... 5.96 4.4 5.96 4.4 – –

Administrative support, including clerical ................... 6.82 7.5 7.00 6.3 – –

Blue collar ........................................................................... 6.06 5.4 5.89 5.2 – –

Machine operators, assemblers, and inspectors ........ ––––––

Transportation and material moving ............................ ––––––

Handlers, equipment cleaners, helpers, and laborers 5.86 5.9 5.86 5.9 – –

Stock handlers and baggers ................................. 5.42 1.5 5.42 1.5 – –

Service ................................................................................. 5.07 2.4 5.07 2.4 – –

Protective service ..................................................... ––––––

Food service ............................................................. 4.62 5.6 4.62 5.6 – –

Health service ........................................................... ––––––

Cleaning and building service ................................... ––––––

Personal service ....................................................... 5.21 .0 5.21 .0 – –

Welfare service aides ........................................... 5.21 .0 5.21 .0 – –

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. 

7
Table 3-1. Mean weekly earnings1, full-time workers:2 Selected occupations, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation3

Total Private industry State and local

 government

Weekly earnings

Mean

weekly

hours5

Weekly earnings

Mean

weekly

hours5

Weekly earnings

Mean

weekly

hours Mean 5

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

All ............................................................... $483 3.4 39.9 $418 4.3 40.0 $576 5.1 39.8

All excluding sales .............................. 486 3.6 39.9 418 4.6 40.1 576 5.1 39.8

White collar ........................................... 631 4.1 39.6 571 6.1 39.9 684 5.4 39.3

White collar excluding sales ........... 656 4.1 39.6 615 6.1 40.0 684 5.4 39.3

Professional specialty and

technical ...................................... 786 3.1 39.3 671 5.4 39.8 845 3.4 39.0

Professional specialty ..................... 849 3.0 39.0 821 5.8 39.6 857 3.4 38.8

Engineers, architects, and

surveyors .............................. – – – – – – – – –

Mathematical and computer

scientists ............................... – – – – – – – – –

Health related ............................. 856 6.2 39.6 861 6.4 39.6 – – –

Registered nurses .................. 835 4.8 39.5 840 5.0 39.5 – – –

Teachers, college and university – – – – – – – – –

Teachers, except college and

university .............................. 946 1.5 38.5 – – – 953 1.4 38.5

Elementary school teachers ... 970 1.5 38.2 – – – 970 1.5 38.2

Secondary school teachers .... 945 1.1 38.6 – – – 948 1.1 38.7

Librarians, archivists, and

curators ................................. – – – – – – – – –

Social, recreation, and religious

workers ................................. 509 5.2 40.0 – – – 505 5.3 40.0

Social workers ........................ 509 5.2 40.0 – – – 505 5.3 40.0

Writers, authors, entertainers,

athletes, and professionals,

n.e.c. ..................................... – – – – – – – – –

Technical ........................................ 527 5.3 40.5 532 5.8 40.0 491 11.2 44.8

Licensed practical nurses ....... 549 4.2 40.0 539 4.1 40.0 – – –

Health technologists and

technicians, n.e.c. ............. 526 7.2 42.3 – – – – – –

Executive, administrative, and

managerial ................................... 952 7.7 40.6 1,000 11.9 41.2 909 9.7 40.0

Executives, administrators, and

managers .............................. 1,007 7.7 40.7 1,012 11.9 41.3 1,002 9.1 40.0

Administrators and officials,

public administration ......... 976 31.2 40.0 – – – 976 31.2 40.0

Managers and administrators,

n.e.c. ................................. 999 5.8 43.4 – – – – – –

Management related ................... 630 10.8 40.0 – – – – – –

Sales .................................................. 423 14.1 39.4 423 14.1 39.4 – – –

Sales workers, other

commodities ..................... 273 8.2 35.7 273 8.2 35.7 – – –

Administrative support, including

clerical ......................................... 387 9.1 39.7 433 14.8 39.8 345 6.0 39.5

Secretaries ............................. 400 6.5 40.0 – – – 400 7.7 40.0

Records clerks, n.e.c. ............. 287 4.0 40.0 – – – – – –

Bookkeepers, accounting and

auditing clerks ................... 309 1.7 39.5 – – – – – –

General office clerks ............... 361 5.2 39.7 374 10.2 39.2 354 6.4 40.0

Teachers’ aides ...................... 278 7.0 38.6 – – – 278 7.0 38.6

Blue collar ............................................. 350 3.0 40.4 341 3.1 40.5 406 7.9 40.0

Precision production, craft, and

repair ............................................ 493 6.7 39.8 483 8.7 39.8 517 10.8 40.0

Water and sewer treatment

plant operators .................. 373 7.4 40.0 – – – 373 7.4 40.0

See footnotes at end of table.

8
Table 3-1. Mean weekly earnings1, full-time workers:2 Selected occupations, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999 — Continued

Occupation3

Total Private industry State and local

 government

Weekly earnings

Mean

weekly

hours5

Weekly earnings

Mean

weekly

hours5

Weekly earnings

Mean

weekly

hours Mean 5

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Blue collar –Continued

Machine operators, assemblers,

and inspectors ............................ $301 2.2 40.0 $301 2.2 40.0 – – –

Textile sewing machine

operators .......................... 318 2.6 40.0 318 2.6 40.0 – – –

Miscellaneous machine

operators, n.e.c. ................ 286 4.9 40.0 286 4.9 40.0 – – –

Transportation and material

moving ......................................... 421 13.1 45.1 488 13.0 48.0 – – –

Truck drivers ........................... 478 15.7 48.5 487 15.8 48.9 – – –

Handlers, equipment cleaners,

helpers, and laborers ................. 253 3.3 39.2 244 3.6 39.1 $307 5.4 40.0

Helpers, construction trades ... 252 .9 40.0 – – – – – –

Stock handlers and baggers ... 252 8.9 40.0 252 8.9 40.0 – – –

Laborers, except construction,

n.e.c. ................................. 268 7.3 40.0 – – – 298 5.7 40.0

Service ................................................... 306 4.8 40.0 240 4.5 38.9 364 6.5 40.9

Protective service ....................... 453 11.5 43.7 – – – 512 5.5 44.6

Police and detectives, public

service .............................. 540 5.6 41.0 – – – 540 5.6 41.0

Food service ............................... 243 7.3 38.1 207 10.3 37.2 279 7.3 39.0

Waiters and waitresses .......... 121 18.9 37.4 121 18.9 37.4 – – –

Cooks ..................................... 243 3.1 38.0 248 3.8 39.2 – – –

Food counter, fountain, and

related ............................... 239 5.2 34.6 239 5.2 34.6 – – –

Health service ............................. 332 6.5 39.7 274 4.2 39.6 – – –

Health aides, except nursing .. 393 9.3 39.5 – – – – – –

Nursing aides, orderlies and

attendants ......................... 285 7.6 39.8 243 2.1 39.8 – – –

Cleaning and building service ..... 267 7.6 39.8 231 2.9 39.4 286 10.8 40.0

Maids and housemen ............. 227 6.2 39.0 227 6.2 39.0 – – –

Janitors and cleaners ............. 277 9.2 40.0 237 3.6 40.0 286 10.9 40.0

Personal service ......................... 244 6.3 40.0 – – – – – –

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

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. 

9
Table 3-2. Mean annual earnings1, full-time workers:2 Selected occupations, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation3

Total Private industry State and local

 government

Annual earnings

Mean

annual

hours5

Annual earnings

Mean

annual

hours5

Annual earnings

Mean

annual

hours Mean 5

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

All ............................................................... $23,294 3.4 1,925 $21,732 4.3 2,079 $25,177 5.1 1,740

All excluding sales .............................. 23,361 3.6 1,919 21,704 4.6 2,082 25,177 5.1 1,740

White collar ........................................... 29,091 4.1 1,825 29,672 6.1 2,072 28,674 5.4 1,648

White collar excluding sales ........... 29,834 4.1 1,802 31,923 6.1 2,078 28,674 5.4 1,648

Professional specialty and

technical ...................................... 33,973 3.1 1,699 34,786 5.4 2,062 33,650 3.4 1,555

Professional specialty ..................... 35,274 3.0 1,619 42,365 5.8 2,043 33,872 3.4 1,536

Engineers, architects, and

surveyors .............................. – – – – – – – – –

Mathematical and computer

scientists ............................... – – – – – – – – –

Health related ............................. 44,533 6.2 2,061 44,752 6.4 2,060 – – –

Registered nurses .................. 43,396 4.8 2,053 43,654 5.0 2,052 – – –

Teachers, college and university – – – – – – – – –

Teachers, except college and

university .............................. 35,041 1.5 1,425 – – – 35,194 1.4 1,421

Elementary school teachers ... 35,638 1.5 1,405 – – – 35,638 1.5 1,405

Secondary school teachers .... 34,590 1.1 1,415 – – – 34,659 1.1 1,416

Librarians, archivists, and

curators ................................. – – – – – – – – –

Social, recreation, and religious

workers ................................. 26,475 5.2 2,080 – – – 26,272 5.3 2,080

Social workers ........................ 26,475 5.2 2,080 – – – 26,272 5.3 2,080

Writers, authors, entertainers,

athletes, and professionals,

n.e.c. ..................................... – – – – – – – – –

Technical ........................................ 27,384 5.3 2,104 27,656 5.8 2,080 25,207 11.2 2,300

Licensed practical nurses ....... 28,572 4.2 2,080 28,012 4.1 2,080 – – –

Health technologists and

technicians, n.e.c. ............. 27,359 7.2 2,202 – – – – – –

Executive, administrative, and

managerial ................................... 47,833 7.7 2,038 52,015 11.9 2,144 44,323 9.7 1,950

Executives, administrators, and

managers .............................. 50,438 7.7 2,037 52,601 11.9 2,145 48,083 9.1 1,919

Administrators and officials,

public administration ......... 50,774 31.2 2,080 – – – 50,774 31.2 2,080

Managers and administrators,

n.e.c. ................................. 51,965 5.8 2,258 – – – – – –

Management related ................... 32,268 10.8 2,048 – – – – – –

Sales .................................................. 22,009 14.1 2,051 22,009 14.1 2,051 – – –

Sales workers, other

commodities ..................... 14,175 8.2 1,856 14,175 8.2 1,856 – – –

Administrative support, including

clerical ......................................... 18,279 9.1 1,874 22,533 14.8 2,070 15,071 6.0 1,725

Secretaries ............................. 18,525 6.5 1,852 – – – 18,087 7.7 1,811

Records clerks, n.e.c. ............. 14,500 4.0 2,021 – – – – – –

Bookkeepers, accounting and

auditing clerks ................... 14,833 1.7 1,897 – – – – – –

General office clerks ............... 18,789 5.2 2,066 19,466 10.2 2,041 18,424 6.4 2,080

Teachers’ aides ...................... 10,272 7.0 1,428 – – – 10,272 7.0 1,428

Blue collar ............................................. 18,048 3.0 2,084 17,714 3.1 2,106 19,898 7.9 1,962

Precision production, craft, and

repair ............................................ 25,624 6.7 2,071 25,093 8.7 2,067 26,863 10.8 2,080

Water and sewer treatment

plant operators .................. 19,407 7.4 2,080 – – – 19,407 7.4 2,080

See footnotes at end of table.

10
Table 3-2. Mean annual earnings1, full-time workers:2 Selected occupations, private industry and State and local

government, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999 — Continued

Occupation3

Total Private industry State and local

 government

Annual earnings

Mean

annual

hours5

Annual earnings

Mean

annual

hours5

Annual earnings

Mean

annual

hours Mean 5

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Mean

Relative

error4

(percent)

Blue collar –Continued

Machine operators, assemblers,

and inspectors ............................ $15,641 2.2 2,078 $15,641 2.2 2,078 – – –

Textile sewing machine

operators .......................... 16,538 2.6 2,080 16,538 2.6 2,080 – – –

Miscellaneous machine

operators, n.e.c. ................ 14,855 4.9 2,080 14,855 4.9 2,080 – – –

Transportation and material

moving ......................................... 20,468 13.1 2,192 25,369 13.0 2,494 – – –

Truck drivers ........................... 24,743 15.7 2,508 25,312 15.8 2,541 – – –

Handlers, equipment cleaners,

helpers, and laborers ................. 13,178 3.3 2,041 12,703 3.6 2,034 $15,965 5.4 2,080

Helpers, construction trades ... 13,090 .9 2,080 – – – – – –

Stock handlers and baggers ... 13,121 8.9 2,080 13,121 8.9 2,080 – – –

Laborers, except construction,

n.e.c. ................................. 13,958 7.3 2,080 – – – 15,491 5.7 2,080

Service ................................................... 15,021 4.8 1,963 12,502 4.5 2,022 17,058 6.5 1,916

Protective service ....................... 23,566 11.5 2,271 – – – 26,615 5.5 2,320

Police and detectives, public

service .............................. 28,060 5.6 2,134 – – – 28,060 5.6 2,134

Food service ............................... 10,581 7.3 1,656 10,753 10.3 1,934 10,461 7.3 1,461

Waiters and waitresses .......... 6,300 18.9 1,945 6,300 18.9 1,945 – – –

Cooks ..................................... 11,049 3.1 1,729 12,876 3.8 2,040 – – –

Food counter, fountain, and

related ............................... 12,448 5.2 1,797 12,448 5.2 1,797 – – –

Health service ............................. 17,239 6.5 2,064 14,247 4.2 2,060 – – –

Health aides, except nursing .. 20,419 9.3 2,056 – – – – – –

Nursing aides, orderlies and

attendants ......................... 14,831 7.6 2,070 12,615 2.1 2,068 – – –

Cleaning and building service ..... 13,844 7.6 2,066 11,994 2.9 2,049 14,864 10.8 2,076

Maids and housemen ............. 11,784 6.2 2,028 11,784 6.2 2,028 – – –

Janitors and cleaners ............. 14,371 9.2 2,076 12,311 3.6 2,080 14,827 10.9 2,076

Personal service ......................... 12,678 6.3 2,080 – – – – – –

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

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. 

11
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, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation and level

Total Private industry State and local

 government

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

All ............................................................................................. $11.15 3.4 $9.40 4.0 $14.34 5.2

All excluding sales ............................................................ 11.27 3.5 9.39 4.3 14.34 5.2

White collar ......................................................................... 15.27 4.2 13.42 5.7 17.16 5.5

 1 ...................................................................... 6.79 7.5 6.76 9.1 – –

 2 ...................................................................... 7.11 4.8 6.57 4.9 7.32 6.4

 3 ...................................................................... 8.40 5.2 7.68 5.5 9.82 10.7

 4 ...................................................................... 9.56 4.5 9.62 6.1 9.42 5.0

 5 ...................................................................... 11.81 5.5 12.93 4.3 – –

 6 ...................................................................... 17.25 9.6 12.99 8.4 19.42 11.6

 7 ...................................................................... 19.84 4.8 18.48 6.1 21.40 8.5

 8 ...................................................................... 19.94 9.4 – – 19.99 11.0

 9 ...................................................................... 23.54 1.9 21.51 5.3 24.06 1.8

11 ...................................................................... 28.69 7.9 ––––

12 ...................................................................... 30.52 12.6 ––––

White collar excluding sales ......................................... 16.25 4.1 15.00 5.7 17.16 5.5

 1 ...................................................................... 6.28 5.7 ––––

 2 ...................................................................... 7.15 5.1 6.56 5.9 7.32 6.4

 3 ...................................................................... 8.65 6.4 7.60 2.9 9.82 10.7

 4 ...................................................................... 9.99 5.0 10.40 7.3 9.42 5.0

 5 ...................................................................... 11.63 6.1 12.91 4.7 – –

 6 ...................................................................... 18.26 9.5 14.61 6.2 19.42 11.6

 7 ...................................................................... 19.84 4.8 18.48 6.1 21.40 8.5

 8 ...................................................................... 20.19 9.5 – – 19.99 11.0

 9 ...................................................................... 23.48 2.0 21.02 5.9 24.06 1.8

12 ...................................................................... 30.52 12.6 ––––

Professional specialty and technical ............................ 19.72 3.4 16.92 5.3 21.18 4.0

Professional specialty ................................................... 21.39 3.3 20.70 5.7 21.57 3.9

 5 ...................................................................... 9.56 14.1 ––––

 7 ...................................................................... 20.40 7.1 17.16 3.7 21.95 9.8

 8 ...................................................................... 22.41 9.2 – – 22.49 10.9

 9 ...................................................................... 23.88 1.8 – – 24.08 1.9

Engineers, architects, and surveyors ....................... – –––––

Mathematical and computer scientists ..................... – –––––

Health related ........................................................... 21.51 6.0 21.62 6.1 – –

Registered nurses ................................................ 21.02 4.8 21.14 5.0 – –

Teachers, college and university .............................. – –––––

Teachers, except college and university .................. 23.88 2.4 – – 24.03 2.4

 7 ...................................................................... 27.36 .7 – – 27.36 .7

 8 ...................................................................... 25.54 1.3 – – 25.54 1.3

 9 ...................................................................... 24.50 1.3 – – 24.50 1.3

Elementary school teachers ................................. 25.36 1.7 – – 25.36 1.7

 8 ...................................................................... 25.63 1.8 – – 25.63 1.8

Secondary school teachers .................................. 24.45 1.4 – – 24.48 1.4

Librarians, archivists, and curators ........................... – –––––

Social, recreation, and religious workers .................. 12.73 5.2 – – 12.63 5.3

Social workers ...................................................... 12.73 5.2 – – 12.63 5.3

Writers, authors, entertainers, athletes, and

professionals, n.e.c. ............................................ – –––––

Technical ...................................................................... 13.01 5.6 13.29 5.7 10.96 16.0

 4 ...................................................................... 10.05 12.5 ––––

 5 ...................................................................... 13.99 4.0 13.99 4.0 – –

 6 ...................................................................... 14.95 5.8 ––––

Licensed practical nurses ..................................... 13.71 4.2 13.45 4.1 – –

 5 ...................................................................... 14.14 4.7 14.14 4.7 – –

Health technologists and technicians, n.e.c. ........ 12.42 11.6 ––––

Executive, administrative, and managerial .................. 23.47 7.9 24.26 12.5 22.73 9.7

 9 ...................................................................... 20.18 12.2 ––––

Executives, administrators, and managers ............... 24.76 7.9 24.52 12.5 25.06 9.1

 9 ...................................................................... 20.18 12.2 ––––

Administrators and officials, public administration 24.41 31.2 – – 24.41 31.2

Managers and administrators, n.e.c. .................... 23.02 9.6 ––––

Management related ................................................. 15.76 10.8 ––––

See footnotes at end of table.

12
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, Brownsville-Harlingen-San Benito, TX, August 1999 —

Continued

Occupation and level

Total Private industry State and local

 government

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

White collar –Continued

Sales ................................................................................ $9.48 10.1 $9.48 10.1 – –

 1 ...................................................................... 7.07 10.4 7.07 10.4 – –

 3 ...................................................................... 7.77 9.4 7.77 9.4 – –

 4 ...................................................................... 8.23 4.3 8.23 4.3 – –

 5 ...................................................................... 13.07 10.8 13.07 10.8 – –

Sales workers, other commodities ........................ 7.41 8.6 7.41 8.6 – –

Cashiers ............................................................... 6.86 7.3 6.86 7.3 – –

Administrative support, including clerical ................... 9.58 8.8 10.48 14.3 $8.69 5.8

 1 ...................................................................... 6.28 5.7 ––––

 2 ...................................................................... 7.08 5.1 6.17 2.3 7.32 6.4

 3 ...................................................................... 8.66 6.4 7.60 2.9 9.83 10.7

 4 ...................................................................... 9.96 5.1 10.35 7.3 9.53 5.9

Secretaries ........................................................... 9.73 6.5 – – 9.99 7.7

 2 ...................................................................... 8.63 8.9 ––––

Records clerks, n.e.c. ........................................... 7.18 4.0 ––––

Bookkeepers, accounting and auditing clerks ...... 7.79 1.8 7.75 4.9 – –

General office clerks ............................................. 8.94 5.5 9.52 10.8 8.65 6.9

 3 ...................................................................... 8.61 7.1 ––––

 4 ...................................................................... 9.31 7.9 ––––

Teachers’ aides .................................................... 7.20 7.2 – – 7.20 7.2

Blue collar ........................................................................... 8.49 2.8 8.23 2.8 10.09 7.7

 1 ...................................................................... 5.92 2.8 5.82 2.8 7.37 2.5

 2 ...................................................................... 7.70 3.3 7.65 3.6 8.07 6.2

 3 ...................................................................... 7.60 5.6 7.66 6.0 7.04 7.3

 4 ...................................................................... 9.72 9.5 10.12 10.9 – –

 5 ...................................................................... 9.41 5.1 9.34 5.1 – –

 7 ...................................................................... 13.55 9.3 14.49 9.5 – –

Precision production, craft, and repair ........................ 12.37 6.7 12.14 8.7 12.92 10.8

 3 ...................................................................... – – – – 8.70 2.4

 5 ...................................................................... 9.33 5.7 9.33 5.7 – –

 7 ...................................................................... 13.55 9.3 14.49 9.5 – –

Water and sewer treatment plant operators ......... 9.33 7.4 – – 9.33 7.4

Machine operators, assemblers, and inspectors ........ 7.45 2.2 7.45 2.2 – –

 1 ...................................................................... 6.23 4.0 6.23 4.0 – –

 2 ...................................................................... 8.12 4.2 8.12 4.2 – –

 3 ...................................................................... 7.03 1.9 7.03 1.9 – –

Textile sewing machine operators ........................ 7.95 2.6 7.95 2.6 – –

Miscellaneous machine operators, n.e.c. ............. 7.14 4.9 7.14 4.9 – –

 3 ...................................................................... 7.55 3.9 7.55 3.9 – –

Transportation and material moving ............................ 9.33 7.5 10.19 8.1 7.65 7.8

 2 ...................................................................... 7.08 9.4 ––––

Truck drivers ......................................................... 9.90 9.3 9.99 9.5 – –

Handlers, equipment cleaners, helpers, and laborers 6.34 3.2 6.16 3.4 7.68 5.4

 1 ...................................................................... 5.70 3.3 5.48 2.2 7.36 2.7

 2 ...................................................................... 6.89 5.5 6.83 6.4 – –

 3 ...................................................................... 6.84 5.3 6.78 5.7 – –

Helpers, construction trades ................................. 6.29 .9 ––––

Stock handlers and baggers ................................. 5.98 6.7 5.98 6.7 – –

 1 ...................................................................... 5.42 1.8 5.42 1.8 – –

Freight, stock, and material handlers, n.e.c. ......... 8.30 9.6 8.30 9.6 – –

 2 ...................................................................... 8.44 11.1 8.44 11.1 – –

Laborers, except construction, n.e.c. .................... 6.71 7.3 – – 7.45 5.7

 1 ...................................................................... 6.38 9.5 ––––

Service ................................................................................. 6.70 3.5 5.56 2.5 8.90 6.0

See footnotes at end of table.

13
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, Brownsville-Harlingen-San Benito, TX, August 1999 —

Continued

Occupation and level

Total Private industry State and local

 government

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Service –Continued

 1 ...................................................................... $5.53 2.5 $5.26 2.8 $6.22 5.1

 2 ...................................................................... 6.27 6.7 5.70 5.5 – –

 3 ...................................................................... 7.16 8.4 5.69 4.8 9.17 8.9

 4 ...................................................................... 8.41 11.4 – – 11.39 13.8

 6 ...................................................................... 11.04 6.5 ––––

Protective service ..................................................... 10.05 12.2 – – 11.46 6.4

 6 ...................................................................... 10.98 6.7 ––––

Police and detectives, public service .................... 13.15 6.6 – – 13.15 6.6

Food service ............................................................. 5.64 5.7 4.99 5.6 7.16 7.1

 1 ...................................................................... 5.35 5.6 5.09 7.6 – –

 2 ...................................................................... 4.67 19.6 3.67 19.2 – –

 3 ...................................................................... 5.70 6.5 ––––

Waiters and waitresses ........................................ 2.70 9.3 2.70 9.3 – –

 1 ...................................................................... 3.11 11.0 3.11 11.0 – –

Cooks ................................................................... 5.96 3.0 ––––

Food counter, fountain, and related ...................... 5.96 7.3 5.96 7.3 – –

 1 ...................................................................... 5.83 7.2 5.83 7.2 – –

Kitchen workers, food preparation ........................ 5.97 3.5 ––––

Health service ........................................................... 8.24 6.4 6.87 4.1 – –

 2 ...................................................................... 7.50 7.8 6.96 6.4 – –

 3 ...................................................................... 9.37 18.5 ––––

Health aides, except nursing ................................ 9.93 9.1 ––––

Nursing aides, orderlies and attendants ............... 7.07 7.0 6.11 2.3 – –

 2 ...................................................................... 6.99 10.3 6.05 3.0 – –

Cleaning and building service ................................... 6.62 7.0 5.83 2.0 7.16 10.8

 1 ...................................................................... 5.95 3.4 5.79 3.3 6.05 6.0

Maids and housemen ........................................... 5.79 3.6 5.79 3.6 – –

 1 ...................................................................... 5.87 4.0 5.87 4.0 – –

Janitors and cleaners ........................................... 6.88 8.8 5.89 3.0 7.14 10.9

 1 ...................................................................... 5.98 4.8 5.58 2.5 6.05 6.0

Personal service ....................................................... 5.34 1.2 5.30 1.2 – –

Welfare service aides ........................................... 5.23 .6 5.21 .0 – –

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. 

14
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, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation and level

Total Private industry State and local

 government

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

All ............................................................................................. $12.10 3.5 $10.45 4.5 $14.47 5.2

All excluding sales ............................................................ 12.18 3.7 10.43 4.7 14.47 5.2

White collar ......................................................................... 15.94 4.1 14.32 5.9 17.40 5.5

 1 ...................................................................... 7.05 8.3 6.96 10.3 – –

 2 ...................................................................... 7.21 5.2 6.78 6.3 7.32 6.4

 3 ...................................................................... 8.78 6.1 7.96 6.0 9.82 10.7

 4 ...................................................................... 9.66 4.4 9.77 6.0 9.42 5.0

 5 ...................................................................... 12.39 4.7 12.98 4.3 – –

 6 ...................................................................... 17.29 9.6 12.99 8.4 – –

 7 ...................................................................... 19.86 4.9 18.46 6.4 21.40 8.5

 8 ...................................................................... 19.91 9.5 – – 19.99 11.0

 9 ...................................................................... 23.55 2.0 21.50 5.4 24.06 1.8

11 ...................................................................... 28.69 7.9 ––––

12 ...................................................................... 30.52 12.6 ––––

White collar excluding sales ......................................... 16.56 4.1 15.37 6.1 17.40 5.5

 1 ...................................................................... 6.47 6.1 ––––

 2 ...................................................................... 7.19 5.2 6.68 6.5 7.32 6.4

 3 ...................................................................... 8.81 6.8 7.68 3.4 9.82 10.7

 4 ...................................................................... 10.01 5.0 10.43 7.4 9.42 5.0

 5 ...................................................................... 12.25 5.2 12.92 4.8 – –

 6 ...................................................................... 18.31 9.5 14.61 6.2 – –

 7 ...................................................................... 19.86 4.9 18.46 6.4 21.40 8.5

 8 ...................................................................... 20.16 9.5 – – 19.99 11.0

 9 ...................................................................... 23.48 2.0 21.00 6.0 24.06 1.8

12 ...................................................................... 30.52 12.6 ––––

Professional specialty and technical ............................ 19.99 3.3 16.87 5.5 21.64 3.7

Professional specialty ................................................... 21.78 3.1 20.74 5.9 22.06 3.6

 7 ...................................................................... 20.46 7.4 16.94 4.3 21.95 9.8

 8 ...................................................................... 22.40 9.3 – – 22.49 10.9

 9 ...................................................................... 23.88 1.8 – – 24.08 1.9

Engineers, architects, and surveyors ....................... – –––––

Mathematical and computer scientists ..................... – –––––

Health related ........................................................... 21.61 6.3 21.72 6.5 – –

Registered nurses ................................................ 21.14 5.1 21.28 5.4 – –

Teachers, college and university .............................. – –––––

Teachers, except college and university .................. 24.60 1.6 – – 24.77 1.5

 7 ...................................................................... 27.36 .7 – – 27.36 .7

 8 ...................................................................... 25.54 1.3 – – 25.54 1.3

 9 ...................................................................... 24.50 1.3 – – 24.50 1.3

Elementary school teachers ................................. 25.36 1.7 – – 25.36 1.7

 8 ...................................................................... 25.63 1.8 – – 25.63 1.8

Secondary school teachers .................................. 24.45 1.4 – – 24.48 1.4

Librarians, archivists, and curators ........................... – –––––

Social, recreation, and religious workers .................. 12.73 5.2 – – 12.63 5.3

Social workers ...................................................... 12.73 5.2 – – 12.63 5.3

Writers, authors, entertainers, athletes, and

professionals, n.e.c. ............................................ – –––––

Technical ...................................................................... 13.01 5.7 13.30 5.8 10.96 16.0

 4 ...................................................................... 10.05 12.5 ––––

 5 ...................................................................... 14.02 4.0 14.02 4.0 – –

 6 ...................................................................... 14.95 5.8 ––––

Licensed practical nurses ..................................... 13.74 4.2 13.47 4.1 – –

Health technologists and technicians, n.e.c. ........ 12.42 11.6 ––––

Executive, administrative, and managerial .................. 23.47 7.9 24.26 12.5 22.73 9.7

 9 ...................................................................... 20.18 12.2 ––––

Executives, administrators, and managers ............... 24.76 7.9 24.52 12.5 25.06 9.1

 9 ...................................................................... 20.18 12.2 ––––

Administrators and officials, public administration 24.41 31.2 – – 24.41 31.2

Managers and administrators, n.e.c. .................... 23.02 9.6 ––––

Management related ................................................. 15.76 10.8 ––––

Sales ................................................................................ 10.73 12.7 10.73 12.7 – –

See footnotes at end of table.

15
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, Brownsville-Harlingen-San Benito, TX, August 1999

— Continued

Occupation and level

Total Private industry State and local

 government

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

White collar –Continued

Sales –Continued

 3 ...................................................................... $8.59 10.5 $8.59 10.5 – –

Sales workers, other commodities ........................ 7.64 11.3 7.64 11.3 – –

Administrative support, including clerical ................... 9.76 9.0 10.88 14.8 $8.74 5.8

 1 ...................................................................... 6.47 6.1 ––––

 2 ...................................................................... 7.12 5.3 6.24 2.2 7.32 6.4

 3 ...................................................................... 8.83 6.9 7.68 3.5 9.83 10.7

 4 ...................................................................... 9.99 5.1 10.40 7.3 9.53 5.9

Secretaries ........................................................... 10.00 6.5 – – 9.99 7.7

Records clerks, n.e.c. ........................................... 7.18 4.0 ––––

Bookkeepers, accounting and auditing clerks ...... 7.82 1.8 ––––

General office clerks ............................................. 9.09 5.4 9.54 11.1 8.86 6.4

 3 ...................................................................... 8.61 7.2 ––––

 4 ...................................................................... 9.31 7.9 ––––

Teachers’ aides .................................................... 7.20 7.2 – – 7.20 7.2

Blue collar ........................................................................... 8.66 2.9 8.41 2.9 10.14 7.9

 1 ...................................................................... 6.03 3.1 5.92 3.2 7.37 2.5

 2 ...................................................................... 7.70 3.3 7.66 3.6 8.07 6.2

 3 ...................................................................... 7.72 5.6 7.79 5.9 7.04 7.3

 4 ...................................................................... 9.77 10.0 10.07 11.1 – –

 5 ...................................................................... 9.41 5.1 9.34 5.1 – –

 7 ...................................................................... 13.55 9.3 14.49 9.5 – –

Precision production, craft, and repair ........................ 12.37 6.7 12.14 8.7 12.92 10.8

 3 ...................................................................... – – – – 8.70 2.4

 5 ...................................................................... 9.33 5.7 9.33 5.7 – –

 7 ...................................................................... 13.55 9.3 14.49 9.5 – –

Water and sewer treatment plant operators ......... 9.33 7.4 – – 9.33 7.4

Machine operators, assemblers, and inspectors ........ 7.53 2.3 7.53 2.3 – –

 1 ...................................................................... 6.41 3.9 6.41 3.9 – –

 2 ...................................................................... 8.12 4.2 8.12 4.2 – –

 3 ...................................................................... 7.03 1.9 7.03 1.9 – –

Textile sewing machine operators ........................ 7.95 2.6 7.95 2.6 – –

Miscellaneous machine operators, n.e.c. ............. 7.14 4.9 7.14 4.9 – –

 3 ...................................................................... 7.55 3.9 7.55 3.9 – –

Transportation and material moving ............................ 9.34 7.8 10.17 8.1 – –

 2 ...................................................................... 7.08 9.4 ––––

Truck drivers ......................................................... 9.87 9.4 9.96 9.6 – –

Handlers, equipment cleaners, helpers, and laborers 6.46 3.5 6.25 3.8 7.68 5.4

 1 ...................................................................... 5.77 3.9 5.50 2.6 7.36 2.7

 2 ...................................................................... 6.75 4.8 6.64 5.6 – –

 3 ...................................................................... 7.30 3.8 7.25 4.2 – –

Helpers, construction trades ................................. 6.29 .9 ––––

Stock handlers and baggers ................................. 6.31 8.9 6.31 8.9 – –

 1 ...................................................................... 5.42 2.4 5.42 2.4 – –

Laborers, except construction, n.e.c. .................... 6.71 7.3 – – 7.45 5.7

 1 ...................................................................... 6.38 9.5 ––––

Service ................................................................................. 7.65 4.4 6.18 4.0 8.90 6.0

 1 ...................................................................... 5.96 4.9 5.59 9.6 6.22 5.1

 2 ...................................................................... 7.25 7.2 6.52 5.2 – –

 3 ...................................................................... 7.79 9.3 5.72 9.6 9.18 8.9

 4 ...................................................................... 8.60 12.3 – – 11.39 13.8

 6 ...................................................................... 10.93 6.6 ––––

Protective service ..................................................... 10.38 10.3 – – 11.47 6.4

Police and detectives, public service .................... 13.15 6.6 – – 13.15 6.6

Food service ............................................................. 6.39 6.7 5.56 9.9 7.16 7.1

See footnotes at end of table.

16
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, Brownsville-Harlingen-San Benito, TX, August 1999

— Continued

Occupation and level

Total Private industry State and local

 government

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Service –Continued

Food service –Continued

 1 ...................................................................... $5.69 8.6 $5.39 16.3 – –

 2 ...................................................................... 6.99 5.4 ––––

 3 ...................................................................... 5.82 15.8 ––––

Waiters and waitresses ........................................ 3.24 16.6 3.24 16.6 – –

Cooks ................................................................... 6.39 1.7 6.31 2.4 – –

Food counter, fountain, and related ...................... 6.93 8.7 6.93 8.7 – –

Health service ........................................................... 8.35 6.5 6.92 4.2 – –

 2 ...................................................................... 7.62 8.4 7.04 6.8 – –

Health aides, except nursing ................................ 9.93 9.1 ––––

Nursing aides, orderlies and attendants ............... 7.17 7.6 6.10 2.4 – –

 2 ...................................................................... 7.11 11.7 6.05 3.4 – –

Cleaning and building service ................................... 6.70 7.5 5.85 2.5 $7.16 10.8

 1 ...................................................................... 5.98 3.9 5.86 4.2 6.05 6.0

Maids and housemen ........................................... 5.81 4.6 5.81 4.6 – –

Janitors and cleaners ........................................... 6.92 9.2 5.92 3.5 7.14 10.9

 1 ...................................................................... 6.01 5.1 – – 6.05 6.0

Personal service ....................................................... 6.10 6.3 ––––

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. 

17
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, Brownsville-Harlingen-San Benito, TX, August 1999

Occupation and level

Total Private industry State and local

 government

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

Mean

Relative

error5

(percent)

All ............................................................................................. $5.72 4.2 $5.69 4.4 $6.43 7.6

All excluding sales ............................................................ 5.54 3.7 5.50 3.9 6.43 7.6

White collar ......................................................................... 7.28 7.0 7.49 7.4 – –

 1 ...................................................................... 6.13 7.4 6.28 8.1 – –

 3 ...................................................................... 7.16 7.4 7.16 7.4 – –

White collar excluding sales ......................................... 8.03 13.1 9.05 17.5 – –

Professional specialty and technical ............................ 10.04 27.0 ––––

Professional specialty ................................................... 9.95 28.2 ––––

Health related ........................................................... – –––––

Teachers, except college and university .................. – –––––

Technical ...................................................................... – –––––

Sales ................................................................................ 6.79 8.2 6.79 8.2 – –

 1 ...................................................................... 6.35 8.4 6.35 8.4 – –

 3 ...................................................................... 7.08 11.1 7.08 11.1 – –

Cashiers ............................................................... 5.96 4.4 5.96 4.4 – –

 1 ...................................................................... 6.27 8.0 6.27 8.0 – –

Administrative support, including clerical ................... 6.82 7.5 7.00 6.3 – –

Blue collar ........................................................................... 6.06 5.4 5.89 5.2 – –

 1 ...................................................................... 5.37 1.4 5.37 1.4 – –

 2 ...................................................................... 7.52 16.7 7.52 16.7 – –

Machine operators, assemblers, and inspectors ........ – –––––

Transportation and material moving ............................ – –––––

Handlers, equipment cleaners, helpers, and laborers 5.86 5.9 5.86 5.9 – –

 1 ...................................................................... 5.41 2.0 5.41 2.0 – –

 2 ...................................................................... 7.52 16.7 7.52 16.7 – –

Stock handlers and baggers ................................. 5.42 1.5 5.42 1.5 – –

 1 ...................................................................... 5.42 2.0 5.42 2.0 – –

Service ................................................................................. 5.07 2.4 5.07 2.4 – –

 1 ...................................................................... 5.13 1.2 5.13 1.2 – –

Protective service ..................................................... – –––––

Food service ............................................................. 4.62 5.6 4.62 5.6 – –

 1 ...................................................................... 4.86 5.3 4.86 5.3 – –

Health service ........................................................... – –––––

Cleaning and building service ................................... – –––––

Personal service ....................................................... 5.21 .0 5.21 .0 – –

Welfare service aides ........................................... 5.21 .0 5.21 .0 – –

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. 

18
Table 5-1. Selected worker characteristics: Mean hourly earnings1 by occupational group,2 National

Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Occupational group

Private industry and State and local government

Full-time

workers3

Part-time

workers3 Union4 Nonunion4 Time5 Incentive5

Mean

All occupations ....................................................................... $12.10 $5.72 $16.01 $10.97 $11.39 $8.95

All excluding sales ........................................................ 12.18 5.54 16.01 11.08 11.51 8.94

White collar ......................................................................... 15.94 7.28 23.18 14.97 15.41 10.41

White-collar excluding sales ......................................... 16.56 8.03 23.18 15.94 16.24 –

Professional specialty and technical ................................. 19.99 10.04 – 19.44 19.72 –

Professional specialty ................................................... 21.78 9.95 – 21.11 21.39 –

Technical ...................................................................... 13.01 – – 13.01 13.01 –

Executive, administrative, and managerial ....................... 23.47 – – 23.47 23.67 –

Sales ................................................................................. 10.73 6.79 – 9.48 9.56 9.03

Administrative support, including clerical .......................... 9.76 6.82 – 8.77 9.58 –

Blue collar ........................................................................... 8.66 6.06 9.88 8.38 8.38 8.73

Precision production, craft, and repair .............................. 12.37 – – 11.91 12.37 –

Machine operators, assemblers, and inspectors .............. 7.53 – 6.87 7.52 6.84 7.96

Transportation and material moving ................................. 9.34 – – 9.24 7.28 11.41

Handlers, equipment cleaners, helpers, and laborers ...... 6.46 5.86 – 6.34 6.28 –

Service ................................................................................. 7.65 5.07 – 6.70 6.70 –

Relative error6 (percent)

All occupations ....................................................................... 3.5 4.2 18.3 3.4 3.6 3.8

All excluding sales ........................................................ 3.7 3.7 18.3 3.5 3.7 4.2

White collar ......................................................................... 4.1 7.0 8.0 4.3 4.2 14.4

White-collar excluding sales ......................................... 4.1 13.1 8.0 4.3 4.1 –

Professional specialty and technical ................................. 3.3 27.0 – 3.6 3.4 –

Professional specialty ................................................... 3.1 28.2 – 3.5 3.3 –

Technical ...................................................................... 5.7 – – 5.6 5.6 –

Executive, administrative, and managerial ....................... 7.9 – – 7.9 8.0 –

Sales ................................................................................. 12.7 8.2 – 10.1 11.8 7.0

Administrative support, including clerical .......................... 9.0 7.5 – 4.4 8.8 –

Blue collar ........................................................................... 2.9 5.4 22.3 3.1 4.6 3.8

Precision production, craft, and repair .............................. 6.7 – – 7.0 6.7 –

Machine operators, assemblers, and inspectors .............. 2.3 – 5.9 2.4 3.3 2.5

Transportation and material moving ................................. 7.8 – – 8.2 6.9 7.8

Handlers, equipment cleaners, helpers, and laborers ...... 3.5 5.9 – 3.2 3.2 –

Service ................................................................................. 4.4 2.4 – 3.5 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 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. 

19
Table 5-2. Major industry division: Mean hourly earnings1 by occupational group,2 private industry, National Compensation

Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Occupational group

Full-time and part-time workers

All private

industries

Goods-producing industries3 Service-producing industries4

Total Mining

ConstructionManufacturing

Total

Transportation and

public utilities

Wholesale

and retail

trade

Finance,

insurance,

and real

estate

Services

Mean

All occupations ............................................................. $9.40 $8.91 – – $8.84 $9.63 $16.65 $7.15 – $9.83

All excluding sales .............................................. 9.39 8.50 – – 8.39 9.86 16.65 6.48 – 9.86

White collar ............................................................... 13.42 13.55 – – 13.55 13.40 – 8.93 – 15.13

White-collar excluding sales ............................... 15.00 11.54 – – 11.54 15.74 – 13.90 – 15.31

Professional specialty and technical ....................... 16.92 – – – – 17.04 – – – 16.65

Professional specialty ......................................... 20.70 – – – – 21.22 – – – 20.59

Technical ............................................................ 13.29 – – – – 13.35 – – – 13.35

Executive, administrative, and managerial ............. 24.26 – – – – 23.94 – – – 23.17

Sales ....................................................................... 9.48 – – – – 8.18 – 8.14 – –

Administrative support, including clerical ................ 10.48 7.92 – – 7.92 11.43 – 8.90 – 9.36

Blue collar ................................................................. 8.23 7.99 – – 7.80 8.77 14.07 6.18 – 7.37

Precision production, craft, and repair .................... 12.14 10.40 – – 10.07 17.03 – – – –

Machine operators, assemblers, and inspectors .... 7.45 7.57 – – 7.57 – – – – –

Transportation and material moving ....................... 10.19 – – – – 9.98 – – – –

Handlers, equipment cleaners, helpers, and

laborers ............................................................. 6.16 6.30 – – 6.31 6.07 – 5.96 – –

Service ....................................................................... 5.56 – – – – 5.56 – 5.09 – 5.71

Relative error5 (percent)

All occupations ............................................................. 4.0 5.1 – – 5.4 5.3 20.6 7.0 – 6.2

All excluding sales .............................................. 4.3 3.8 – – 4.0 5.9 20.6 9.2 – 6.2

White collar ............................................................... 5.7 17.0 – – 17.0 6.0 – 6.1 – 7.3

White-collar excluding sales ............................... 5.7 14.3 – – 14.3 6.0 – 17.4 – 7.2

Professional specialty and technical ....................... 5.3 – – – – 5.6 – – – 5.6

Professional specialty ......................................... 5.7 – – – – 6.0 – – – 6.0

Technical ............................................................ 5.7 – – – – 5.8 – – – 5.8

Executive, administrative, and managerial ............. 12.5 –––– 15.4 – – – 20.0

Sales ....................................................................... 10.1 – – – – 5.7 – 6.1 – –

Administrative support, including clerical ................ 14.3 5.6 – – 5.6 16.7 – 9.2 – 12.5

Blue collar ................................................................. 2.8 2.6 – – 2.4 7.4 20.5 6.4 – 11.5

Precision production, craft, and repair .................... 8.7 7.2 – – 9.0 13.1 – – – –

Machine operators, assemblers, and inspectors .... 2.2 2.1 – – 2.1 – – – – –

Transportation and material moving ....................... 8.1 – – – – 9.0 – – – –

Handlers, equipment cleaners, helpers, and

laborers ............................................................. 3.4 4.8 – – 5.8 4.3 – 5.6 – –

Service ....................................................................... 2.5 – – – – 2.5 – 6.5 – 2.4

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 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. 

20
Table 5-3. Establishment employment size: Mean hourly earnings1 by occupational group,2 private

industry, National Compensation Survey, Brownsville-Harlingen-San Benito, TX, August 1999

Occupational group

Full-time and part-time workers

All private

industry

workers

50 - 99

workers3

100 workers or more

Total 100 - 499

workers

500

workers or

more

Mean

All occupations ....................................................................... $9.40 $9.04 $9.53 $9.04 $10.27

All excluding sales ........................................................ 9.39 9.21 9.46 8.81 10.27

White collar ......................................................................... 13.42 12.63 13.70 12.31 15.60

White-collar excluding sales ......................................... 15.00 15.73 14.80 13.78 15.60

Professional specialty and technical ................................. 16.92 – 16.85 17.36 16.63

Professional specialty ................................................... 20.70 – 20.60 22.66 19.79

Technical ...................................................................... 13.29 – 13.09 12.49 13.36

Executive, administrative, and managerial ....................... 24.26 – 24.74 20.66 –

Sales ................................................................................. 9.48 8.06 10.30 10.30 –

Administrative support, including clerical .......................... 10.48 13.55 9.07 8.65 9.56

Blue collar ........................................................................... 8.23 8.79 8.05 7.90 8.37

Precision production, craft, and repair .............................. 12.14 – 11.73 11.22 –

Machine operators, assemblers, and inspectors .............. 7.45 – 7.51 7.28 7.79

Transportation and material moving ................................. 10.19 9.64 – – –

Handlers, equipment cleaners, helpers, and laborers ...... 6.16 5.79 6.36 6.14 –

Service ................................................................................. 5.56 5.31 5.68 5.79 5.57

Relative error4 (percent)

All occupations ....................................................................... 4.0 12.0 4.3 5.4 7.1

All excluding sales ........................................................ 4.3 13.3 4.5 5.8 7.1

White collar ......................................................................... 5.7 14.3 6.3 7.2 10.2

White-collar excluding sales ......................................... 5.7 12.1 6.5 6.3 10.2

Professional specialty and technical ................................. 5.3 – 5.9 9.5 7.3

Professional specialty ................................................... 5.7 – 6.2 13.4 6.4

Technical ...................................................................... 5.7 – 6.4 5.4 8.8

Executive, administrative, and managerial ....................... 12.5 – 15.7 20.6 –

Sales ................................................................................. 10.1 10.3 13.3 13.3 –

Administrative support, including clerical .......................... 14.3 24.8 8.2 5.3 15.5

Blue collar ........................................................................... 2.8 11.1 3.6 5.0 4.1

Precision production, craft, and repair .............................. 8.7 – 13.4 18.9 –

Machine operators, assemblers, and inspectors .............. 2.2 – 2.3 3.4 2.6

Transportation and material moving ................................. 8.1 19.6 – – –

Handlers, equipment cleaners, helpers, and laborers ...... 3.4 4.1 3.9 3.5 –

Service ................................................................................. 2.5 6.3 2.5 4.5 2.3

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 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. 

21
A-1

Appendix A: Technical Note

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 Brownsville-Harlingen-San Benito, TX, Metropolitan Statistical Area includes Cameron County.

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.

Sample design

The sample for this survey area was selected using a twostage stratified design with probability proportional to employment 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.

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

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.

T
A-2

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

Number

of selected jobs

50-99 8

100-249 10

250-999 12

1000-2,499 16

2,500+ 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.

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
A-3

given factor increased, the wages also increased. Detailed

research continues in the area and will be published by

BLS in the future.

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.

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.

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.

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.)

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
A-4

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

Establishments

 Total in sample 177

Responding 131

Out of business or not in

 survey scope 13

Unable or refused to pro-

 vide data 33

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.

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, Brownsville-Harlingen-San Benito, TX, August 1999

Occupational group

Full-time and part-time workers

Total Private industry State and local 

government

All occupations ....................................................................... 48,300 30,600 17,700

All excluding sales ........................................................ 45,100 27,400 17,700

White collar ......................................................................... 22,300 10,400 11,900

White-collar excluding sales ......................................... 19,100 7,200 11,900

Professional specialty and technical ................................. 9,900 2,800 7,000

Professional specialty ................................................... 8,300 1,400 6,900

Technical ...................................................................... 1,600 1,400 200

Executive, administrative, and managerial ....................... 2,000 900 1,100

Sales ................................................................................. 3,200 3,200 –

Administrative support, including clerical .......................... 7,200 3,400 3,800

Blue collar ........................................................................... 12,200 10,300 1,800

Precision production, craft, and repair .............................. 2,500 1,700 700

Machine operators, assemblers, and inspectors .............. 4,900 4,900 –

Transportation and material moving ................................. 1,700 900 800

Handlers, equipment cleaners, helpers, and laborers ...... 3,200 2,800 300

Service ................................................................................. 13,800 9,900 3,900

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, Brownsville-Harlingen-San Benito, TX, August 1999

Industry

Number of

establishments represented1

Number of establishments studied

Total studied 50 - 99

workers2

100 workers or more

Total 100 - 499

workers

500 workers

or more

All industries ....................................................................................... 300 95 34 61 45 16

Private industry ............................................................................... 200 73 28 45 36 9

Goods-producing industries ........................................................ 3 ( ) 20 4 16 12 4

Construction ........................................................................... 3 () 1 1 – – –

Manufacturing ......................................................................... 3 ( ) 19 3 16 12 4

Service-producing industries ...................................................... 200 53 24 29 24 5

Transportation and public utilities ........................................... 3 () 4 2 2 2 –

Wholesale and retail trade ...................................................... 100 21 12 9 9 –

Finance, insurance and real estate ........................................ 3 () 2 1 1 1 –

Services .................................................................................. 100 26 9 17 12 5

State and local government ............................................................ 3 ( ) 22 6 16 9 7

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.

 NOTE: Dashes indicate that no data were reported. Overall industry and industry

groups may include data for categories not shown separately.

A-6