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Imagery analyst job growth summary. After extensive research, interviews, and analysis, Zippia's data science team found that:
The projected imagery analyst job growth rate is 3% from 2018-2028.
About 20,600 new jobs for imagery analysts are projected over the next decade.
Imagery analyst salaries have increased 11% for imagery analysts in the last 5 years.
There are over 3,837 imagery analysts currently employed in the United States.
There are 4,449 active imagery analyst job openings in the US.
The average imagery analyst salary is $60,703.
| Year | # of jobs | % of population |
|---|---|---|
| 2021 | 3,837 | 0.00% |
| 2020 | 3,769 | 0.00% |
| 2019 | 3,756 | 0.00% |
| 2018 | 3,679 | 0.00% |
| 2017 | 3,746 | 0.00% |
| Year | Avg. salary | Hourly rate | % Change |
|---|---|---|---|
| 2026 | $60,703 | $29.18 | +4.5% |
| 2025 | $58,070 | $27.92 | +1.5% |
| 2024 | $57,198 | $27.50 | +2.4% |
| 2023 | $55,836 | $26.84 | +2.4% |
| 2022 | $54,544 | $26.22 | +1.2% |
| Rank | State | Population | # of jobs | Employment/ 1000ppl |
|---|---|---|---|---|
| 1 | District of Columbia | 693,972 | 205 | 30% |
| 2 | Virginia | 8,470,020 | 816 | 10% |
| 3 | Maryland | 6,052,177 | 527 | 9% |
| 4 | Hawaii | 1,427,538 | 114 | 8% |
| 5 | Vermont | 623,657 | 48 | 8% |
| 6 | North Dakota | 755,393 | 51 | 7% |
| 7 | Delaware | 961,939 | 54 | 6% |
| 8 | Alaska | 739,795 | 48 | 6% |
| 9 | Colorado | 5,607,154 | 254 | 5% |
| 10 | Montana | 1,050,493 | 54 | 5% |
| 11 | South Dakota | 869,666 | 41 | 5% |
| 12 | Wyoming | 579,315 | 31 | 5% |
| 13 | Nebraska | 1,920,076 | 84 | 4% |
| 14 | Idaho | 1,716,943 | 69 | 4% |
| 15 | New Hampshire | 1,342,795 | 51 | 4% |
| 16 | Rhode Island | 1,059,639 | 47 | 4% |
| 17 | Oregon | 4,142,776 | 110 | 3% |
| 18 | Connecticut | 3,588,184 | 92 | 3% |
| 19 | Kansas | 2,913,123 | 86 | 3% |
| 20 | West Virginia | 1,815,857 | 50 | 3% |
| Rank | City | # of jobs | Employment/ 1000ppl | Avg. salary |
|---|---|---|---|---|
| 1 | Suitland | 2 | 8% | $71,990 |
| 2 | Laurel | 1 | 4% | $72,013 |
| 3 | Annapolis | 1 | 3% | $72,127 |
| 4 | Fort Hood | 1 | 3% | $51,975 |
| 5 | Natick | 1 | 3% | $63,192 |
| 6 | Burlington | 1 | 2% | $49,802 |
| 7 | Charlottesville | 1 | 2% | $65,338 |
| 8 | McLean | 1 | 2% | $65,890 |
| 9 | Lansing | 1 | 1% | $57,572 |
| 10 | Austin | 1 | 0% | $52,342 |
| 11 | Denver | 1 | 0% | $56,941 |
| 12 | El Paso | 1 | 0% | $51,856 |
| 13 | Long Beach | 1 | 0% | $67,707 |
| 14 | Madison | 1 | 0% | $63,705 |
University of New Orleans
Arizona State University
University of Mississippi

University of California, Irvine
Quinnipiac University
Dr. Mark Kulp Professor: Have as much practical, hands-on experience in the field as possible and be sure that your CV reflects your desire to learn and excel within the field. Also demonstrate that you are team player and willing and able to work under stressful conditions when projects need to be completed and work in the midst of others with whom you may not necessarily agree.
Dr. Mark Kulp Professor: As mentioned geospatial skills, team player mentality and perhaps most importantly be able to express yourself in spoken and written form. Especially important is the ability to technically write and convey complex topics in an easy to read, error free format. Also, the ability to orally present information in front of others in the form of powerpoint presentations.
Dr. Mark Kulp Professor: Individuals should make sure that they have some GIS/Geospatial software background and the more that they have the better. Individuals that can easily store, display and interpret large, complex datasets will be those who are most well equipped for entry-level positions. Learning modern programming language such as PYTHON is a substantial benefit. Field and laboratory experience is a necessity and students should strive to have experience working within and on research projects as part of a group project or individual research-based project.
Arizona State University
Geography And Cartography
B.L. Turner: Focus on one of the STEM parts of geographical sciences-remote sensing, GIS, and integrated human-envirnmental science plus modeling that has both academic/research and application applicability.
B.L. Turner: All of the STEM elements that permit analysis of remotely sensed data, foremost satellite data, GIS analysis, spatial analysis, and ability to integrate social and biophysical elements of problems
B.L. Turner: By maintaining skill sets for problem solving-for geographical science these are those related to remote sensing, GIScience, and integrated human-environmental issues (that include sustainability).
University of Mississippi
Criminal Justice And Corrections
Wesley Jennings: Technology proficiency is becoming one of the more sought after skills of those entering the workforce in criminal justice settings as technological advancements are constantly changing how criminals perpetrate their crimes as well as how law enforcement performs their duties and promotes crime prevention. Similarly, an important skill in the criminal justice profession has been and will continue to be critical thinking and analytical skills. This will become more important as the nature of crime, criminal networks, cybercrime, terrorism, etc. is becoming increasing more complex to prevent or investigate.

University of California, Irvine
Urban Planning and Public Policy
David Feldman Ph.D.: Succinct writing, critical thinking, strong quantitative analytical skills.
Christopher Ball Ph.D.: Economics is at the cutting edge of data science and, also, cognitive psychology or "behavioral economics." All of the artificial intelligence and network sciences are booming in our field. So any technology supporting that area will grow in importance for economists. Most students in economics today learn necessary coding in R - an open-source programming language used in statistical analysis - and slowly in Python as well, which is broader than R. Again, all the areas feeding the use of those technologies are only growing in importance for us. Finally, because all techs generate lots of data, and data continues to grow in availability, data management, and understanding both the potential and the limits of big data, will become more critical.