### U.S. Bureau of Labor Statistics

##
Occupational Employment Statistics

# 2000 National Occupational Employment and Wage Estimates

### 15-0000 Computer and Mathematical Occupations (Major Group)

This major group comprises the following occupations:
Computer and Information Scientists, Research ;
Computer Programmers ;
Computer Software Engineers, Applications ;
Computer Software Engineers, Systems Software ;
Computer Support Specialists ;
Computer Systems Analysts ;
Database Administrators ;
Network and Computer Systems Administrators ;
Network Systems and Data Communications Analysts ;
Actuaries ;
Mathematicians ;
Operations Research Analysts ;
Statisticians ;
Mathematical Technicians;
and residual, "All Other", occupations in this major group.

These estimates are calculated with data collected from employers in all industry divisions in metropolitan and non-metropolitan areas in every State and the District of Columbia.

Employment estimate and mean wage estimates for this major group:

Employment |
2,932,810 |
RSE = 0.9 % |
---|

Mean hourly wage |
$27.91 |
RSE = 0.4 % |
---|

Mean annual wage |
$58,050 |
RSE = 0.4 % |
---|

(1)
Percentile wage estimates for this major group:

Percentile |
10% |
25% |
50% (Median) |
75% |
90% |
---|

Hourly Wage |
$14.51 |
$19.50 |
$26.49 |
$34.94 |
$43.66 |
---|

Annual Wage |
$30,190 |
$40,560 |
$55,110 |
$72,670 |
$90,810 |
---|

(1)
About 2000 National, State, and Metropolitan Area Occupational Employment and Wage Estimates

Percentile wage estimates show what percentage of workers in an occupation earn less than a given wage and what percentage earn more.
The median wage is the 50th percentile wage estimateâ€”50 percent of workers earn less than the median and 50 percent of workers earn more than the median.
More about percentile wages.

(1) Annual wages have been calculated by multiplying the hourly mean wage by a "year-round, full-time" hours figure of 2,080 hours;
for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.

The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

All Computer and Mathematical Occupations

2000 National Occupational Employment and Wage Estimates

2000 State Occupational Employment and Wage Estimates

2000 Metropolitan Area Occupational Employment and Wage Estimates

2000 National Industry-Specific Occupational Employment and Wage Estimates

Technical notes

List of Occupations in SOC Code Number Order

List of Occupations in Alphabetical Order

**Last Modified Date: **November 15, 2001