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BENCHMARKING · MARKET COMPARE

Salary Comparison Tool

Compare your salary against BLS occupation benchmarks and global market data. See how your pay ranks by role, level, and location.

50+
BLS occupations
3
Experience Levels
5
Countries Compared
US Market Bands Monthly gross salary ranges
Entry
~$65K/yr
Mid
~$95K/yr
Senior
~$130K+/yr
BLS OEWS 2025–2026 · US national medians · monthly normalization
Enter your monthly salary and job role to compare against directional median market references in 5 countries. Use the result as a benchmark check, not a final verdict.
Benchmark basis: directional role/country medians with user-entered salary normalization · Methodology
Try it:

Use this as a benchmark check, not a compensation verdict. The US comparison is the strongest reference on the page. The Canada, Germany, UK, and Australia figures are simplified editorial medians converted into approximate USD context, so they are useful for direction and negotiation framing, not for quoting exact foreign-market pay.

$
US Median
Gap vs Market
Annual Gap
Monthly Salary Benchmark by Country
Your Position vs US Market Median
Below Range In Range Above Market
Now use that data to build a personalized negotiation script.
Negotiation Script →
How does this comparison work?

We use directional monthly salary benchmarks informed by public labor statistics from the Bureau of Labor Statistics (US), Statistics Canada, the UK ONS, Destatis (Germany), and ABS (Australia). Values are editorial benchmarks for 2025–2026 shown as gross monthly pay in approximate USD equivalents.

How This Salary Comparison Works

This tool compares your salary against two benchmarks simultaneously: the US national market rate for your role and experience level, and directional salary references across five comparison markets. Most salary benchmarking tools only show one dimension — here you can see whether your compensation looks below range, in range, or above range against a small international reference set.

US role benchmarks are informed by Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS) context and then normalized into simplified monthly reference bands. International figures in this tool are directional editorial estimates, not a live PPP or foreign-exchange model.

Why This Page Exists On SalaryLabs

SalaryLabs separates three questions that workers often blur together. This page answers the role-benchmark question: does your pay look light, normal, or strong relative to a simplified market reference for your role and experience level? It does not answer national ranking, city-level cost-of-living, or exact employer compensation bands.

That separation matters because a salary can look strong nationally and still lag for a specific profession, or look high in gross pay while producing weak monthly cash flow after taxes and benefits. We keep this page focused so the verdict is easier to interpret and easier to act on.

Best workflow: use Salary Calculator if you need to normalize hourly vs salary first, use this page to check role-market position, then move to Take Home Pay for budget reality or Income Percentile for broad national rank.

What the Verdict Categories Mean

  • Below market range: Your salary is more than 20% below the US median for your role and experience. This can be actionable, but it is still a benchmark signal rather than a final compensation judgment. Use our Negotiation Script Generator to prepare your conversation.
  • In market range: Within ±20% of the US median. Your base pay is broadly aligned with current market references. Focus negotiation energy on total compensation — equity, PTO, remote flexibility — rather than base salary alone.
  • Above market: You're earning 20%+ above the national median for your role. This typically means either strong performance history, a high-cost market, or a specialized skill premium. Your negotiating position is strong for non-salary benefits.

Why Global Salary Comparisons Matter for US Workers

Three situations where understanding international pay is directly useful for US-based workers:

  • Evaluating remote-first companies: Many US-based companies hire globally and use location-based pay. If you're considering a role at a company that adjusts salaries by market, knowing international benchmarks helps you understand their framework and negotiate from an informed position.
  • Considering international relocation: A $120,000 software engineering salary in the US drops to $70,000–$85,000 equivalent in Germany or the UK after taxes and purchasing power adjustment — but comes with universal healthcare, 28+ days PTO, and stronger job protections. The tradeoff is real.
  • Industry context: Some industries pay significantly more outside the US — certain finance and consulting roles in Switzerland and Singapore pay more than equivalent US roles. Knowing this context is useful in global negotiations.

Important context: A $100,000 US salary does not compare cleanly to €80,000 in Europe by exchange rate alone. Taxes, healthcare, time off, and local housing costs matter. Treat this tool as a directional salary reference, not as a full purchasing-power calculator.

Common Salary Comparison Questions

How does US salary compare to Europe?
US gross salaries in tech and finance are generally 30–60% higher than Western European equivalents in nominal terms. A software engineer in the US earns a median of ~$8,300/month gross vs. ~$5,600/month in Germany. However, European workers get universal healthcare (saving $5,000–$15,000/year in premiums), 28–30 days mandatory vacation, and much lower student debt — making total lifetime compensation far more comparable than gross salaries suggest.
What does "below market range" mean in this tool?
We classify you as below market range if your salary is more than 20% below the US market median for your role and experience level. In range means within ±20% of market rate. Above market means you're earning 20%+ over median. These are directional benchmarks — your specific employer, industry, and geographic market may justify variation in either direction.
Should I negotiate my salary using this data?
Yes — if you're in the "below market range" band, this data provides a factual foundation for a raise conversation. The most effective approach: lead with "market data shows the median for this role is $X in this region" rather than "I want more money." Objective data depersonalizes the conversation and helps frame the gap more clearly. Use our Salary Negotiation Script Generator to turn these findings into a ready-to-use script.
How accurate is the international data?
International benchmarks are directionally accurate but should be treated as estimates — salary data quality and recency varies significantly by country. US data context is the strongest. The comparison markets shown here are limited to Canada, Germany, the UK, and Australia, and should be read as editorial benchmarks rather than exact live market quotes.

When Salary Comparison Data Is Most Actionable

Here's something nobody tells you when you accept a job offer: the number on your letter is only part of the story. Whether you're earning market rate, below it, or comfortably above comes down to how your role stacks up against what others in similar jobs are getting paid. That's exactly what this comparison is built to surface — not a verdict, but a data point you can actually use.

Most people only think about this when they're job hunting or bracing for a review. But the real power kicks in when you know where you stand before you need to negotiate. If you want to understand how your hourly rate stacks up against your peers, our hourly wage converter breaks it down by role and experience level — useful before you even run this comparison.

Want to turn market data into a raise conversation? Use your comparison results to build a personalized script. Our negotiation script generator takes your role, experience, and the benchmark gap and turns it into ready-to-use talking points — no awkward improvisation required.

This comparison is most valuable at three specific career moments — and should be used differently at each:

Before accepting a new offer: If you're "in range" to "above market," your negotiation energy is better spent on non-salary components — signing bonus, extra PTO, remote flexibility. If you're materially below range, the market data gives you a concrete anchor for a counteroffer.

During your annual review: Showing up with a printout of your market position is more effective than saying "I think I'm below range." Frame it as: "I want to make sure we're aligned on where this role sits in the market." That's a business conversation, not a demand.

When evaluating international relocation: Use these figures as directional salary references only. A gross salary increase from London to NYC may shrink materially after healthcare, taxes, and local housing costs are considered, so this tool should be paired with a real cost-of-living review.

What this tool can't account for: job security differences, equity upside, career trajectory, and the psychological value of factors like commute time, team culture, and work-life balance — all of which have real economic value that doesn't show up in a salary comparison.

Read the verdict as directional, not absolute. The below-range / in-range / above-market labels are a quick interpretation layer over simplified benchmarks. They help you decide where to look next, but they do not replace city-level offers, benefits review, or role-specific compensation research.

If the result feels off, ask which layer is missing. This tool does not model employer brand, equity, local rent pressure, or country-specific social benefits. When those factors drive the gap, use the verdict as a prompt for deeper review rather than proof that the salary is wrong.

Data Sources: BLS Wage Statistics · Statistics Canada · UK ONS · Destatis · ABS Australia
Wahyu Agustiar — Independent Salary Data Researcher
Wahyu Agustiar
Independent Salary Data Researcher Published Jan 15, 2024 Updated Aug 6, 2026

Maintained by the author using IRS Publication 15-T, SSA wage-base announcements, and BLS OEWS data. All calculator formulas are deterministic JavaScript — no AI inference in the numbers. Content is reviewed for accuracy when tax figures are updated annually. See Methodology · Author Profile