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 ; Computer Specialists, All Other ; Actuaries ; Mathematicians ; Operations Research Analysts ; Statisticians ; Mathematical Technicians ; Mathematical Science Occupations, All Other

Employment estimate and mean wage estimates for this major group:

Employment (1) | Employment RSE (3) |
Mean hourly wage |
Mean annual wage (2) |
Wage RSE (3) |
---|---|---|---|---|

3,191,360 | 0.4 % | $34.71 | $72,190 | 0.3 % |

Percentile wage estimates for this major group:

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

Hourly Wage | $17.59 | $24.04 | $33.21 | $43.87 | $54.86 |

Annual Wage (2) | $36,580 | $50,010 | $69,070 | $91,250 | $114,110 |

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

Percentile wage estimates show the percentage of workers in an occupation that earn less than a given wage and the percentage that 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) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

(2) 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.

(3) 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.

Other OES estimates and related information:

May 2007 National Occupational Employment and Wage Estimates

May 2007 State Occupational Employment and Wage Estimates

May 2007 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

May 2007 National Industry-Specific Occupational Employment and Wage Estimates

List of Occupations in SOC Code Number Order

List of Occupations in Alphabetical Order

Download May 2007 Occupational Employment and Wage Estimates in Zipped Excel files

**Last Modified Date: **April 3, 2008