IT Salary Report 2025
Self-reported base salaries from 1,072 IT professionals who answered our 2025 open salary survey. Help desk to cloud, entry-level to senior, mostly US-based. See how the data was collected →
IT salary by role — 2025 medians
Median base salary by role category. Bars show 25th–75th percentile range. Cloud / Data Engineer sits at the top ($115,000 median); Help Desk / IT Support at the bottom ($52,000).
IT help desk salary, sysadmin salary, and more — by category
Click any role to see the detail. All salary figures are USD annualized, self-reported.
How this data was collected — and what it doesn't tell you
Be honest with yourself about what this is: a community survey, not a census. Use these numbers as directional, not definitive. Here's exactly what they include and exclude.
Collected via a voluntary Google Form in late 2024 / early 2025, promoted in the This is an IT Support Group Facebook community and newsletter. After dropping 18 responses with unparseable or missing base-salary values, aggregates on this page are computed from 1,054 usable responses.
Respondents come from a Facebook community of 160K IT pros — heavy on help desk, sysadmin, and MSP, lighter on FAANG / high-end cloud roles. Numbers here will under-represent the top of the market and over-represent the working middle of IT.
Salaries, titles, and locations are entered by respondents. There's no W-2, no employer check. A handful of entries look off (way too high or too low); the parser filters the obviously broken ones but some noise remains.
Respondents wrote freeform titles ("Systems Engineer II", "IT Guy", "Director of Infrastructure"). We group them into 9 categories using keyword matching. It's imperfect — e.g. "Software Engineer" falls into "Other IT" which is why that bucket is large.
Most respondents are in the United States. The "by state" table is US-only; non-US entries are included in overall medians and the map but excluded from state-level breakdowns.
The map in the unlock section uses a pre-geocoded snapshot taken a few weeks before the aggregates. Pin count (~1,110) is slightly different from aggregate count (1,054). Same respondents, different export times.
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