1. Does GIS have a future?
GIS has evolved significantly and is now essential across various industries. As it simplifies complex spatial data, the demand for GIS professionals is expected to grow. With salaries ranging from $58,390 to $75,090, a career in GIS offers promising financial prospects, indicating a bright future for the field.
2. What is the salary of GIS analyst in USA?
As of now, the salary for a GIS Technician/Analyst in the United States ranges from $58,390 to $75,090 annually, with a median salary of $66,190. This translates to approximately $28.05 to $36.10 per hour, or about $1,124 to $1,442 per week, and $5,058 to $6,250 per month.
3. Is GIS in demand in USA?
Careers in GIS are in high demand in the USA, with a projected seven percent job growth from 2020 to 2030. GIS professionals, skilled in data visualization and spatial analysis, can expect salaries ranging from $58,390 to $75,090, with a median salary of $66,190, reflecting the increasing need for their expertise across various fields.
4. How much does a US GIS analyst earn?
As of January 20, 2025, the salary for a GIS Analyst in the United States ranges from $58,390 to $75,090 annually, with a median salary of $66,190. This translates to approximately $28.05 to $36.06 per hour, or $1,123 to $1,442 per week, and $4,999 to $6,250 per month.
5. Is GIS a high paying field?
GIS can be a rewarding field, with salaries for GIS Technicians/Analysts ranging from $58,390 to $75,090 annually. The midpoint salary is $66,190, indicating a solid earning potential. While it may not reach the higher figures seen in some developer roles, it offers competitive compensation within the industry.
6. What is the job outlook for GIS technicians?
The job outlook for GIS technicians is modest, with a projected growth of only 1% from 2020 to 2030. However, states like California, Texas, Maryland, and Colorado present significant opportunities. Salaries for GIS technicians range from $58,390 to $75,090, with a median salary of $66,190, making it a viable career path, especially when combined with data science skills.