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How to Read the State of the Tech Workforce Report and Use It as Private Evidence

Private Evidence for High Salary Remuneration

How to Read the State of the Tech Workforce Report and Use It as Private Evidence

Every year, CompTIA publishes the State of the Tech Workforce report. On the surface, it looks like a labor market snapshot. In reality, it is a structured dataset that explains where technology work is concentrated, how it is valued, and how compensation differs across states and experience levels.

This article explains how to read the CompTIA State of the Tech Workforce report section by section, and how to responsibly use its national, state-level, and metro-level data to support high-salary and field-significance narratives without overstatement.

It walks through:

  • How national benchmarks establish field-wide compensation norms

  • How state-level data contextualizes salary relative to local labor markets

  • How metro-area insights explain competitive, high-density tech ecosystems

  • How to frame tech wage percentiles without over-claiming

  • How to align state-level and sector-level data with individual compensation

  • How to distinguish contextual labor market evidence from personal merit evidence

Paid users also receive direct access to the full CompTIA reports for independent review.

  • CompTIA State of the Tech Workforce 2024

  • CompTIA State of the Tech Workforce 2025

These reports serve as authoritative, third-party labor market references and are used strictly to establish objective field context, not as standalone proof of individual qualification .

1. Start With Net Tech Employment, Not Job Titles

One of the most misunderstood elements in the report is Net Tech Employment.

CompTIA defines net tech employment as a combination of:

  • Core tech occupations across all industries

  • Business and leadership roles inside tech companies

  • Full-time self-employed tech professionals

This matters because it shows that technology value is not limited to job titles or company names. Tech work permeates finance, healthcare, government, manufacturing, and professional services

When you reference this in private evidence:

  • You are establishing that your role exists inside a nationally recognized tech labor market

  • You are not relying on a narrow or self-defined classification

This is contextual grounding, not self-promotion.

2. Understand the Wage Percentiles Before Talking About Salary

The wage section is where most people make mistakes.

The report does not rely on averages. It relies on percentiles, which is exactly how serious labor analysis is done:

  • 10th percentile reflects early-career or entry roles

  • 25th percentile reflects developing professionals

  • 50th percentile is the median

  • 75th and 90th percentiles represent senior expertise and high-impact roles

Nationally, the median tech wage exceeds $112,000, which is more than double the median wage across all U.S. occupations

This does not mean every tech worker earns that amount. It means the field itself commands premium compensation relative to the general labor market.

In private evidence, this supports one narrow claim only:

Compensation in this field is objectively high relative to the national workforce.

It does not yet say anything about you. That comes later.

3. Why State-Level Wage Data Matters More Than National Averages

High salary is never evaluated in a vacuum.

The same dollar amount has very different meaning in different states. The report explicitly cautions that cost of living and regional labor markets must be considered

This is why state-level wage percentiles are critical:

  • A $150,000 salary in Washington or California may align with the 75th percentile

  • The same salary in another state may sit at or above the 90th percentile

When you reference state data correctly, you are not arguing that your salary is high in abstract terms. You are showing that it is high relative to peers in the same labor market.

This is the only legitimate way to frame salary significance.

4. How to Use “Top States” Without Over-claiming

The report ranks states by:

  • Net tech employment size

  • Employment concentration

  • Projected growth

  • Economic impact

States like Washington, California, Virginia, Massachusetts, Texas, and New York consistently appear at the top across these dimensions.

Mentioning this does not mean:

  • You are more important because you live there

  • Everyone in these states is extraordinary

What it does mean is this:

These states represent highly competitive, mature, and compensation-dense tech labor markets.

If your compensation places you in the upper percentiles within one of these states, that strengthens the context of your salary evidence.

The report provides the field conditions. Your documents provide the individual facts.

5. Employer Hiring Intent Shows Market Demand, Not Individual Success

Another key section is employer job postings and hiring intent.

CompTIA shows millions of annual tech job postings, with significant demand for advanced digital fluency and AI-related skills .

This is useful only for one purpose:

  • Demonstrating that the market actively competes for skilled professionals

It does not prove that you are exceptional. It explains why compensation escalates for experienced or specialized professionals.

Used correctly, this supports the logic of:

High compensation is a market response to scarcity and complexity, not an anomaly.

6. What This Report Can and Cannot Prove

This report can be used to show:

  • Tech is a nationally significant economic sector

  • Tech wages are materially higher than the general labor market

  • Certain states represent highly competitive compensation environments

  • Senior and specialized roles occupy upper wage percentiles

This report cannot be used to show:

  • That you personally are extraordinary

  • That salary alone proves merit

  • That everyone earning a high wage qualifies for special recognition

That distinction is critical.

The report is contextual evidence, not primary evidence.

7. How This Fits Into a Proper Private Evidence Strategy

In a well-structured private evidence set, this report typically appears:

  • As an appendix or background exhibit

  • Referenced by attorneys or evaluators

  • Used to anchor salary, role, or impact discussions in objective data

It should always be paired with:

  • Employer letters

  • Payroll records

  • Role descriptions

  • Comparative peer analysis

  • Evidence of responsibility, scope, or impact

When used this way, the report does exactly what it is meant to do:

It explains the field, not the person.

And that is precisely why it is credible.

Mid-Thoughts

High salary is never about the number alone. It is about where that number sits within a real labor market, under real competitive pressure, in a field that objectively commands value.

The State of the Tech Workforce report gives you the map.

Your own evidence shows where you stand on it.

Source: CompTIA State of the Tech Workforce 2025 and 2024 editions. Download two editions of private editions below.

Download 2024 CompTIA

Download 2025 CompTIA

8. Comparing Tech Talent by Industry Sector and Why It Matters

Another overlooked strength of the State of the Tech Workforce report is how it breaks down where tech professionals actually work, not just how many exist overall.

A common misconception is that tech professionals primarily work inside “technology companies.” The data shows this is only partially true.

According to CompTIA’s analysis:

  • Roughly 40% of tech professionals work directly in the tech sector

  • Approximately 60% work in non-tech sectors, embedded across the broader economy

This distinction is critical for private evidence because it reframes how impact and compensation are evaluated.

9. Top Industry Sectors Employing Tech Professionals

CompTIA consistently identifies the top industry sectors employing tech workers nationwide:

  1. Technology sector

    Software, IT services, cloud infrastructure, telecom, hardware

  2. Professional, Scientific, and Technical Services

    Consulting, engineering, analytics, cybersecurity services

  3. Finance and Insurance

    Banking platforms, payment systems, risk and fraud technology

  4. Management and Holding Companies

    Enterprise technology governance, shared services, global platforms

Together, these sectors account for the vast majority of tech employment in the United States .

What matters here is not the ranking itself, but what it implies:

  • Tech expertise is mission-critical far beyond software vendors

  • Organizations outside “pure tech” still compete aggressively for top talent

  • Compensation pressure exists across multiple industries, not just Silicon Valley startups

10. Why Sector Comparison Strengthens Salary Context

When salary is evaluated in isolation, it is easy to dismiss it as anecdotal.

When salary is evaluated within a sector-specific tech labor market, it gains structure.

For example:

  • A senior technologist in finance or professional services is not compared to the general workforce

  • They are compared to other tech professionals operating in high-revenue, high-risk, high-complexity environments

The report establishes that these sectors:

  • Employ hundreds of thousands to millions of tech workers

  • Generate substantial economic output

  • Sustain long-term demand for advanced technical and leadership skills

This allows a legitimate inference:

Compensation reflects sector-level competition for scarce expertise, not an inflated or artificial arrangement.

11. Sector Distribution Also Explains Role-Based Wage Differences

Another benefit of sector comparison is that it explains why wage ranges are wide even within the same job title.

A software engineer or architect may earn very different compensation depending on whether they operate in:

  • A small internal IT team

  • A regulated financial institution

  • A global professional services firm

  • A core technology product company

The report’s sector analysis helps evaluators understand that:

  • Higher compensation often correlates with risk, scale, and systemic responsibility

  • Senior roles embedded in critical sectors naturally cluster toward the 75th and 90th percentiles

This framing is consistent with how labor economists interpret wage dispersion, and it aligns with CompTIA’s methodology .

12. How to Use Sector Data as Private Evidence

Sector comparisons should be used carefully and narrowly.

Appropriate use:

  • Demonstrating that your role exists within a large, competitive tech labor segment

  • Showing that your employer operates in a sector known to command premium tech talent

  • Explaining why compensation norms differ from generic job-board averages

Inappropriate use:

  • Claiming sector importance alone proves individual merit

  • Suggesting that all sector participants are exceptional

  • Using sector size as a proxy for personal achievement

When used correctly, sector data provides contextual credibility, not self-assertion.

13. Putting It All Together

When combined, the report supports three layered conclusions:

  1. Tech is a nationally significant and compensation-dense field

  2. Multiple non-tech sectors employ massive numbers of tech professionals

  3. High compensation often reflects sector-level competition and responsibility

Your individual evidence then answers a separate question:

Where do you fall within that landscape?

That separation between field context and personal proof is exactly what makes private evidence persuasive.

This article is general information, not legal advice. Meritocrat is a preparation tool, not a law firm, and does not replace qualified legal counsel.

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