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The differences between human factors engineers and ergonomists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a human factors engineer, becoming an ergonomist takes usually requires 4-6 years. Additionally, a human factors engineer has an average salary of $96,427, which is higher than the $57,723 average annual salary of an ergonomist.
The top three skills for a human factors engineer include user research, human centered design and user experience. The most important skills for an ergonomist are analysis tools, assembly plant, and OSHA.
| Human Factors Engineer | Ergonomist | |
| Yearly salary | $96,427 | $57,723 |
| Hourly rate | $46.36 | $27.75 |
| Growth rate | 10% | 6% |
| Number of jobs | 57,075 | 2,197 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 64% |
| Average age | 42 | 45 |
| Years of experience | 4 | 6 |
Human factors engineers and ergonomists have different pay scales, as shown below.
| Human Factors Engineer | Ergonomist | |
| Average salary | $96,427 | $57,723 |
| Salary range | Between $74,000 And $124,000 | Between $33,000 And $100,000 |
| Highest paying City | San Francisco, CA | New York, NY |
| Highest paying state | New Jersey | Connecticut |
| Best paying company | Tesla | |
| Best paying industry | Technology | - |
There are a few differences between a human factors engineer and an ergonomist in terms of educational background:
| Human Factors Engineer | Ergonomist | |
| Most common degree | Bachelor's Degree, 69% | Bachelor's Degree, 64% |
| Most common major | Psychology | Industrial Engineering |
| Most common college | University of Michigan - Ann Arbor | University of Michigan - Ann Arbor |
Here are the differences between human factors engineers' and ergonomists' demographics:
| Human Factors Engineer | Ergonomist | |
| Average age | 42 | 45 |
| Gender ratio | Male, 63.9% Female, 36.1% | Male, 62.5% Female, 37.5% |
| Race ratio | Black or African American, 4.9% Unknown, 4.0% Hispanic or Latino, 12.0% Asian, 11.5% White, 67.5% American Indian and Alaska Native, 0.2% | Black or African American, 6.5% Unknown, 6.0% Hispanic or Latino, 10.8% Asian, 5.0% White, 70.5% American Indian and Alaska Native, 1.2% |
| LGBT Percentage | 4% | 7% |