Engage in the development of mathematical theory or apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields, such as bio-statistics, agricultural statistics, business statistics, economic statistics, or other fields. Include mathematical statisticians.

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. These and other data elements, including the 10th, 25th, 75th, and 90th percentile wages are available in the downloadable excel files. Estimates do not include self-employed workers.

Employment estimate and mean wage estimates for this occupation:

RSE (3) | ||
---|---|---|

Employment (1) | 17,040 | 5.0 % |

Mean hourly wage | $27.44 | 2.1 % |

Mean annual wage (2) | $57,080 | 2.1 % |

Percentile wage estimates for this occupation:

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

Hourly Wage | $14.14 | $18.57 | $25.98 | $35.00 | $43.28 |

Annual Wage (2) | $29,400 | $38,630 | $54,030 | $72,790 | $90,010 |

About 2001 National, State, and Metropolitan Area Occupational Employment and Wage Estimates

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) Data for detailed occupations does not sum to the totals because the totals include data for occupations not shown separately.

(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.

All Computer and Mathematical Occupations

2001 National Occupational Employment and Wage Estimates

2001 State Occupational Employment and Wage Estimates

2001 Metropolitan Area Occupational Employment and Wage Estimates

2001 National Industry-Specific Occupational Employment and Wage Estimates

List of Occupations in SOC Code Number Order

List of Occupations in Alphabetical Order

**Last Modified Date: **December 23, 2002