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The differences between predictive maintenance technicians and facility maintenance technicians can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a predictive maintenance technician and a facility maintenance technician. Additionally, a predictive maintenance technician has an average salary of $58,114, which is higher than the $39,575 average annual salary of a facility maintenance technician.
The top three skills for a predictive maintenance technician include vibration analysis, CMMS and PDM. The most important skills for a facility maintenance technician are plumbing, HVAC, and hand tools.
Predictive maintenance technicians and facility maintenance technicians have different pay scales, as shown below.
| Predictive Maintenance Technician | Facility Maintenance Technician | |
| Average salary | $58,114 | $39,575 |
| Salary range | Between $41,000 And $80,000 | Between $29,000 And $52,000 |
| Highest paying City | - | Anchorage, AK |
| Highest paying state | - | Alaska |
| Best paying company | - | The American Musical and Dramatic Academy |
| Best paying industry | - | Manufacturing |
There are a few differences between a predictive maintenance technician and a facility maintenance technician in terms of educational background:
| Predictive Maintenance Technician | Facility Maintenance Technician | |
| Most common degree | Associate Degree, 44% | Associate Degree, 31% |
| Most common major | Business | Electrical Engineering Technology |
| Most common college | - | - |
Here are the differences between predictive maintenance technicians' and facility maintenance technicians' demographics:
| Predictive Maintenance Technician | Facility Maintenance Technician | |
| Average age | 47 | 47 |
| Gender ratio | Male, 98.5% Female, 1.5% | Male, 95.6% Female, 4.4% |
| Race ratio | Black or African American, 12.1% Unknown, 4.3% Hispanic or Latino, 16.6% Asian, 4.5% White, 61.3% American Indian and Alaska Native, 1.2% | Black or African American, 10.9% Unknown, 4.2% Hispanic or Latino, 19.9% Asian, 4.5% White, 59.3% American Indian and Alaska Native, 1.2% |
| LGBT Percentage | 2% | 2% |