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The differences between geospatial intelligence analysts and classification analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a geospatial intelligence analyst and a classification analyst. Additionally, a classification analyst has an average salary of $72,047, which is higher than the $61,131 average annual salary of a geospatial intelligence analyst.
The top three skills for a geospatial intelligence analyst include geospatial data, GIS and arcgis. The most important skills for a classification analyst are us customs, data entry, and government agencies.
| Geospatial Intelligence Analyst | Classification Analyst | |
| Yearly salary | $61,131 | $72,047 |
| Hourly rate | $29.39 | $34.64 |
| Growth rate | 3% | 3% |
| Number of jobs | 10,347 | 9,222 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 54% | Bachelor's Degree, 60% |
| Average age | 44 | 44 |
| Years of experience | 4 | 4 |
Geospatial intelligence analysts and classification analysts have different pay scales, as shown below.
| Geospatial Intelligence Analyst | Classification Analyst | |
| Average salary | $61,131 | $72,047 |
| Salary range | Between $40,000 And $91,000 | Between $53,000 And $96,000 |
| Highest paying City | - | - |
| Highest paying state | - | - |
| Best paying company | - | - |
| Best paying industry | - | - |
There are a few differences between a geospatial intelligence analyst and a classification analyst in terms of educational background:
| Geospatial Intelligence Analyst | Classification Analyst | |
| Most common degree | Bachelor's Degree, 54% | Bachelor's Degree, 60% |
| Most common major | Intelligence Operations | Business |
| Most common college | University of Southern California | Stanford University |
Here are the differences between geospatial intelligence analysts' and classification analysts' demographics:
| Geospatial Intelligence Analyst | Classification Analyst | |
| Average age | 44 | 44 |
| Gender ratio | Male, 77.1% Female, 22.9% | Male, 42.4% Female, 57.6% |
| Race ratio | Black or African American, 12.9% Unknown, 5.0% Hispanic or Latino, 15.8% Asian, 2.9% White, 62.8% American Indian and Alaska Native, 0.7% | Black or African American, 11.3% Unknown, 5.1% Hispanic or Latino, 16.5% Asian, 3.0% White, 63.5% American Indian and Alaska Native, 0.7% |
| LGBT Percentage | 9% | 9% |