TOP 10 Countries for IT Salaries (2025)
Demand for mid-to-senior software engineers continues to outpace supply in the world's most competitive labour markets. This ranking measures total annual compensation — base salary plus bonus plus annualised equity — for engineers with 5–10 years of experience, expressed in PPP-adjusted USD to equalise purchasing power across very different cost structures. The result is a map of where technical talent is genuinely rewarded in real spending terms, not merely in nominal pay.
The global median for this experience bracket sits near USD 65 000 (PPP), but the top-ranked market exceeds that figure by more than 2.3×. The spread within the Top 10 itself — from roughly USD 75 000 to USD 155 000 — reflects structural differences in corporate ecosystems, tax regimes, equity culture and labour-market competition that have only deepened since 2020.
Figures are indicative estimates compiled from multiple sources (see Methodology). They are rounded and harmonised for cross-country comparability and are not official wage statistics.
The 10 highest-paying countries for mid-senior IT professionals
The ranking is led by ecosystems with concentrated demand from large technology firms, specialised financial-sector tech teams, or state-backed innovation programmes. Three structural patterns recur: (1) markets where equity compensation is embedded in offer culture; (2) markets where high nominal pay is amplified by low effective tax rates; and (3) smaller, open economies where global firms compete aggressively for local talent.
The US remains in first place through a combination of large equity packages — RSUs at major tech firms regularly add USD 25–40 k per year — and the world’s deepest concentration of high-paying employers. Bay Area medians top USD 185 k while markets like Austin and Seattle offer more modest but still globally exceptional packages. Even after federal and state income taxes, PPP-adjusted take-home outperforms every other market.
Zurich's fintech corridor and the broader Swiss life-sciences ecosystem (Roche, Novartis, UBS and other major financial institutions) sustain demand for senior engineers. The combination of low effective cantonal income taxes — often 15–22 % for higher earners — and a strong CHF that retains its PPP value makes Switzerland the top European market in real compensation terms.
Israel's "Startup Nation" infrastructure — a dense pipeline from elite military tech units (8200, Mamram) into high-growth startups and global R&D centres (Google, Intel, Microsoft, Amazon) — sustains salaries well above Israel's cost base. Equity-heavy offer structures and a culture of pre-IPO option grants lift total compensation significantly above base pay.
A small domestic talent pool, combined with competition from EU institutions and major tech employers, keeps upward pressure on salaries. Expatriate allowances and multilingual premiums (typically +10–15 %) are common in offer packages. Luxembourg's cost structure, compared with several larger European capitals, helps preserve the real value of nominal pay.
Despite a high headline income-tax rate, Denmark's PPP-adjusted compensation benefits from strong public services (effectively a deferred wage component), shorter standard workweeks and growing demand from Novo Nordisk's digital-health expansion and Copenhagen's cleantech cluster. Senior roles at Maersk Technology and Ørsted also command premium packages.
Norway's oil-to-renewables digital transformation — led by Equinor, DNV and a growing Oslo fintech scene — sustains competitive demand for senior engineers. The sovereign-wealth fund's domestic investment mandates and strong public-sector IT modernisation budgets diversify demand well beyond the energy sector.
Toronto and Vancouver have emerged as North American AI research hubs, with Shopify, Google Brain Canada, Meta AI and Vector Institute anchoring high-paying demand. Federal immigration pathways, including the Global Talent Stream, help keep the talent pool accessible, while proximity to US firms sustains cross-border compensation benchmarking.
Sydney and Melbourne host significant fintech and enterprise-cloud operations for Atlassian, Canva, ANZ and Commonwealth Bank's digital units. Mandatory 11 % superannuation contributions are a deferred compensation component not captured in base pay comparisons, meaning effective total rewards are somewhat higher than the headline figure suggests.
Germany's large corporate-tech sector — SAP, Siemens Digital, BMW Software, Volkswagen Group IT and a growing Berlin-Munich startup corridor — provides depth of demand but more conservative offer structures than US or Israeli counterparts. Blue Card immigration and EU single-market mobility continue to widen the accessible talent pool.
Amsterdam hosts major tech employers including Booking.com, ASML, Philips and multiple global-firm European HQs. The 30 % ruling tax incentive for internationally recruited employees effectively increases net pay for a large share of senior tech hires, making real compensation meaningfully higher for internationally recruited engineers.
Table 1. Top 10 economies by IT total compensation (PPP), 2025 snapshot
| Rank | Economy | Total comp. (PPP USD) | YoY change |
|---|---|---|---|
| 1 | United States | 155,000 | +3.3% |
| 2 | Switzerland | 126,000 | +5.0% |
| 3 | Israel | 116,000 | +4.5% |
| 4 | Luxembourg | 109,000 | +3.8% |
| 5 | Denmark | 103,000 | +4.1% |
| 6 | Norway | 98,000 | +3.6% |
| 7 | Canada | 92,000 | +2.8% |
| 8 | Australia | 88,000 | +3.2% |
| 9 | Germany | 83,000 | +2.5% |
| 10 | Netherlands | 78,000 | +3.0% |
Values are PPP-adjusted total annual compensation (base + bonus + annualised equity) in constant international dollars, mid-senior level. The full Top 20 interactive ranking is in the next section.
Chart 1. Total IT compensation (PPP) for the Top 10 economies
Total annual compensation in PPP USD for mid-senior software engineers (5–10 YOE). Values include base, annual bonus and annualised equity at grant value, Q3 2024–Q1 2025.
How the broader Top 20 IT salary landscape looks in 2025
Beyond the top tier, the ranking reveals a clear second cluster — Sweden, the United Kingdom, Singapore, Austria, Finland, Belgium and France — where IT total compensation in PPP terms typically ranges from USD 62 000 to USD 78 000. These markets are characterised by strong public digital-transformation agendas, growing AI/ML demand from incumbents, and improving talent-attraction policies. Ireland and New Zealand sit near this band, while Japan occupies the 20th position with the fastest year-on-year growth in the ranking, reflecting Tokyo's accelerating effort to close the structural wage gap in tech.
Table 2. Top 20 economies by IT total compensation (PPP), 2025
Annual total compensation (base + bonus + equity) for mid-senior software engineers, PPP USD. Global dataset total (all 20 economies): USD 1,691,000 — used as denominator for the share (%) toggle.
| Rank | Economy | Region | Total comp. (PPP USD) | YoY |
|---|---|---|---|---|
| 1 | United States | Americas | 155,000 9.17% | +3.3% |
| 2 | Switzerland | Europe | 126,000 7.45% | +5.0% |
| 3 | Israel | MENA | 116,000 6.86% | +4.5% |
| 4 | Luxembourg | Europe | 109,000 6.45% | +3.8% |
| 5 | Denmark | Europe | 103,000 6.09% | +4.1% |
| 6 | Norway | Europe | 98,000 5.80% | +3.6% |
| 7 | Canada | Americas | 92,000 5.44% | +2.8% |
| 8 | Australia | Asia-Pacific | 88,000 5.20% | +3.2% |
| 9 | Germany | Europe | 83,000 4.91% | +2.5% |
| 10 | Netherlands | Europe | 78,000 4.61% | +3.0% |
| 11 | Sweden | Europe | 75,000 4.43% | +3.5% |
| 12 | United Kingdom | Europe | 73,000 4.32% | +2.2% |
| 13 | Singapore | Asia-Pacific | 71,000 4.20% | +4.8% |
| 14 | Austria | Europe | 69,000 4.08% | +2.8% |
| 15 | Finland | Europe | 67,000 3.96% | +3.1% |
| 16 | Belgium | Europe | 64,000 3.78% | +2.6% |
| 17 | France | Europe | 62,000 3.67% | +2.3% |
| 18 | New Zealand | Asia-Pacific | 59,000 3.49% | +2.9% |
| 19 | Ireland | Europe | 57,000 3.37% | +4.2% |
| 20 | Japan | Asia-Pacific | 46,000 2.72% | +6.1% |
Source: Compiled from Levels.fyi, Glassdoor, LinkedIn Salary Insights, Stack Overflow Developer Survey 2025 and OECD Employment Statistics. PPP factors: World Bank ICP 2021 benchmark. Figures rounded to nearest USD 1,000.
Figure 2. Total IT compensation (PPP) vs. year-on-year growth, 2025
The scatter chart maps absolute compensation level against the pace of salary growth. Markets in the upper-left quadrant (lower pay, faster growth) include Japan and Singapore, which are catching up. The upper-right is occupied by Israel and Switzerland — already well-compensated and still growing quickly. The US sits alone at the right edge of the chart, with the highest absolute pay but moderate growth, reflecting a market that is maturing at the top end.
Horizontal axis: total compensation (PPP USD, thousands). Vertical axis: year-on-year growth rate (%), based on aggregated survey comparisons vs. the same period in 2023–2024.
What the 2025 IT salary hierarchy reveals about the global tech economy
The ranking is not simply a map of where tech ecosystems are strongest — it is a map of where structural conditions have aligned to make high-skilled technical labour scarce and valuable. Three forces explain the ordering better than any single variable.
First, equity culture. The US–Israel gap over the rest of the world narrows substantially when you strip out RSUs, ESPP and options. In markets where stock-based compensation has not become embedded in offer culture — most of continental Europe and Asia-Pacific — base salaries are competitive but total compensation lags the frontier by 20–40 %. The spread of pre-IPO option programmes from Israeli and US firms into European subsidiaries is gradually narrowing this gap, but slowly.
Second, tax architecture. Switzerland, Luxembourg and the Netherlands all use their tax regimes (low cantonal taxes, expat rulings, deductions for cross-border workers) to convert what appear to be moderate nominal salaries into very high take-home and effective PPP compensation. Denmark and Norway achieve similar outcomes through the other side of the equation: public services and welfare provision reduce the private cost of healthcare, childcare and pensions, boosting effective net compensation beyond what gross figures suggest.
Third, ecosystem depth. Countries that appear "underweight" relative to their economic size — Japan, France, New Zealand — share a structural characteristic: their technology sectors contain fewer firms competing at the global frontier for engineering talent. This is changing rapidly in Paris's Station F ecosystem and Tokyo's government-backed salary reform initiative, but the pipeline from policy to wage to ranking takes years.
Key insights and analytical conclusions
Reading this ranking purely as a league table misses the most useful signal: the trajectory and the mechanisms behind each country's position matter more than the rank itself.
- The US–Europe gap is structural, not cyclical. Without a fundamental shift in European equity-compensation culture and the depth of the employer base competing for senior talent, the gap above USD 100 k in PPP terms will persist through the rest of the decade.
- Switzerland and Israel punch well above their economic weight. Both are small economies — Switzerland's entire GDP is roughly a third of California's — yet they have built compensation environments that attract and retain talent at US-comparable levels. The mechanism is different in each case (tax efficiency vs. equity culture) but the outcome is the same.
- The Nordic cluster is more resilient than its headline tax rates suggest. Once effective after-tax compensation, social benefits and work-life balance are factored in, Denmark, Norway and Sweden consistently outperform comparable-income European markets in talent-retention surveys.
- Singapore is the one to watch in Asia. At 4.8 % YoY — the fastest growth in the Asia-Pacific sub-ranking — and with government-backed AI investment accelerating through 2025, Singapore is one of the clearest candidates to break into the Top 10 by 2027.
- Japan's high growth rate (+6.1 %) is real but comes off a low base. The Kishida-era "new capitalism" wage-growth push and Sony/NTT/Toyota digital-transformation spending have started to move market rates upward, but closing the gap with the US requires systemic change in corporate compensation philosophy.
- AI/ML specialisation adds 15–25 % premium above these medians in every market on the list. Engineers with production-grade LLM, computer-vision or reinforcement-learning expertise sit meaningfully above the figures shown.
What this ranking means for engineers and employers
For individual engineers deciding where to maximise career value, the most important insight from this data is that nominal salary alone is a poor decision variable. An engineer choosing between a USD 120 k offer in Berlin and USD 100 k in Stockholm should examine effective tax rates, pension contributions (mandatory vs. voluntary), cost of healthcare, housing affordability and the probability of equity upside — all of which differ substantially between those two markets.
For engineers considering relocation, three patterns emerge from this data. Engineers moving from Asia-Pacific or Eastern Europe to the US, Switzerland or Israel see the largest absolute compensation gains. Engineers moving within Europe typically gain less in absolute PPP terms but may gain meaningfully in effective take-home depending on national tax structures. Remote-work contracts with US employers — increasingly available for senior staff — can allow engineers to capture US-level compensation while remaining in a lower-cost market, though tax and employment-law complexity is significant.
For employers competing internationally for senior engineering talent, this ranking signals the competitive reference point that candidates carry into offer conversations. Any offer that deviates significantly from the PPP benchmark without a strong compensating factor — equity upside, mission appeal, flexibility — will face increasing pushback from candidates who have access to this data.
Frequently asked questions
What does "PPP-adjusted" mean, and why does it matter more than nominal salary? +
Nominal salary tells you how many dollars (or francs, or shekels) your employer will transfer to your account. PPP-adjusted salary tells you how much you can actually buy with that money in the country where you live and spend it. A USD 100 k salary in San Francisco buys materially less than the same figure in Zurich or Oslo, because housing, services and taxes differ dramatically. The PPP conversion applies World Bank purchasing-power indices to put every market's compensation on the same "real basket of goods" footing. This is why Switzerland (#2, 126k PPP) looks competitive against the US (#1, 155k PPP) despite Switzerland's high nominal prices: the tax advantage and strength of the CHF mean the effective purchasing-power gap is much narrower than it looks at first glance.
Why is the US still #1 even though cost of living there is very high? +
Even after adjusting for purchasing power, the US retains its lead because the absolute dollar premium is simply very large. FAANG total compensation packages for mid-senior engineers often include USD 50–80 k of annualised equity on top of a USD 120–150 k base, producing total compensation that no other market's cost-of-living adjustment can fully neutralise. The PPP conversion reduces the US lead compared with a nominal-only comparison, but it does not eliminate it. California and New York's high costs erode purchasing power, but Texas, Washington and Colorado offer near-FAANG salary benchmarks with significantly lower costs — and those markets are included in the US aggregate.
Are these figures for remote workers, or only for on-site positions? +
The figures represent compensation for engineers employed by an entity registered in the listed country, whether working on-site, hybrid or fully remote from within that country. They do not include engineers working remotely for a foreign employer while living in a different country — that is a separate and growing category that this ranking cannot easily capture. For example, a Ukrainian engineer working remotely for a US employer on a US salary scale would appear in the US figure, not in a Ukrainian figure. This means the ranking somewhat understates high-compensation opportunities for engineers in lower-ranked markets who secure remote contracts.
How are equity and stock options counted in these totals? +
Equity is included at annualised grant value, not at realised vesting value. A 4-year RSU cliff-vest grant of USD 200 k is counted as USD 50 k per year. This is the convention used by Levels.fyi and reflected in most survey datasets. Pre-IPO options are included at their estimated fair value at the time of grant where this is disclosed; where it is not, they are excluded from the calculation. This means the Israel figure may modestly understate total upside for engineers at well-funded pre-IPO startups, where option value is real but opaque at grant time.
What experience level and roles do these salaries represent? +
The figures target the mid-senior band: 5–10 years of professional experience, corresponding to Senior Engineer or Staff Engineer in US levelling frameworks (L5/L6 at Google, E5/E6 at Meta, SDE II / SDE III at Amazon). The three primary roles aggregated are full-stack engineers, DevOps/platform engineers and ML/AI engineers. Principal, Staff+ and Director-level roles, which command substantial additional compensation, are excluded. Junior roles (0–3 YOE) are also excluded, as the spread between markets at junior level is considerably narrower.
Why does Japan rank 20th despite being one of the world's largest tech economies? +
Japan's low rank versus its economic size reflects a structural mismatch between technological ambition and the traditional seniority-based compensation system (nenko joretsu) that still governs most large Japanese employers. While Sony, Toyota and Fujitsu have introduced market-rate salary bands for specific engineering roles, the median across the full employer base — including hundreds of mid-size systems integrators and government contractors — remains well below OECD peers. The 6.1 % YoY growth rate, highest in this ranking, signals that the government's public sector wage push and foreign-firm expansion are beginning to move market rates. Engineers at Rakuten Global Technology or NTT Data's AI division now earn substantially more than the Japanese market median, suggesting that the market may be entering a more durable shift in the next ranking cycle.
Methodology
This section explains the data construction, scope decisions and known limitations of the ranking.
Scope and seniority definition
The ranking covers mid-senior software engineers with 5–10 years of professional experience, across three role clusters: full-stack engineers, DevOps/SRE/platform engineers, and ML/AI engineers. Principal-level, managerial and executive roles are excluded. Total compensation includes base salary, annual cash bonus (or equivalent) and annualised equity at grant value. Benefits (health insurance, pension contributions, parental leave) are not included except where they are mandatory deferred-wage components (e.g., Australia's superannuation).
Data sources and aggregation
Primary data comes from four sources: Levels.fyi (self-reported offers, primary for US, Canada, Israel, Singapore); Glassdoor Salary (primary for European markets and Australia); LinkedIn Salary Insights (used for cross-validation and to fill gaps in smaller markets); and the Stack Overflow Developer Survey 2025 (global baseline, used for regional sanity checks). OECD Employment Statistics provide institutional cross-validation for European markets.
All figures are aggregated as weighted medians across available data points for the defined experience and role scope. Outliers above the 95th and below the 5th percentile are excluded to reduce sensitivity to very large equity grants at a small number of flagship employers.
PPP conversion
Nominal compensation is converted to PPP-adjusted USD using purchasing-power-parity conversion factors from the World Bank's International Comparison Program (ICP), 2021 benchmark updated with 2024 price-level indices. This conversion adjusts for differences in the cost of a standardised consumption basket (housing, food, transport, services) across countries. It does not adjust for investment or savings behaviour, meaning countries with high housing costs relative to other expenditures (e.g., London, Sydney) may have their PPP compensation modestly overstated for engineers who spend a high share of income on rent.
YoY growth calculation
Year-on-year growth compares the current dataset (Q3 2024–Q1 2025) to the equivalent dataset compiled for Q3 2023–Q1 2024 using the same methodology. Growth figures are in nominal local- currency terms (not PPP-adjusted) to reflect actual employer-offer movements, then translated to a comparable percentage change.
Known limitations Important
- Self-reported data bias. Levels.fyi and Glassdoor data are self-reported. Engineers at higher-paying firms and with higher compensation are more likely to submit entries, which may bias estimates upward, particularly for markets where participation rates are low (e.g., Japan, New Zealand). The median-trimming procedure partially mitigates this, but bias cannot be fully eliminated.
- Sample size variance. The US dataset contains tens of thousands of data points for the target scope; Japan, New Zealand and Luxembourg each have fewer than 500 comparable entries. Confidence intervals for smaller markets are correspondingly wider.
- Employer concentration. In small markets (Luxembourg, Ireland, Israel), a handful of large employers dominate the data. The figures reflect compensation at firms large enough to appear in salary surveys — smaller domestic employers in these markets may pay materially less.
- Tax is not deducted. Figures show gross total compensation. Effective after-tax take-home differs significantly by country and by individual tax situation. A comparison of after-tax PPP compensation would reorder the ranking, moving Switzerland and Norway higher relative to the US, and Belgium and France lower.
Primary data sources and references
Figures in this article are compiled and harmonised from the following publicly accessible datasets and publications. For formal research or HR benchmarking, readers should consult the original sources directly.
-
Levels.fyi — Global Software Engineer Compensation DatabasePrimary source for US, Israel, Canada and Singapore salary data. Q4 2024 / Q1 2025 dataset.
https://www.levels.fyi/ -
Stack Overflow — Developer Survey 2025Global salary baseline and role-distribution data across 180+ countries.
https://survey.stackoverflow.co/ -
OECD — Employment Outlook 2025 and Labour Cost StatisticsInstitutional wage benchmarks and labour-cost indices for OECD member states, used for European-market validation.
https://www.oecd.org/en/topics/employment.html -
World Bank — ICP 2021 Purchasing Power Parity Conversion FactorsBaseline PPP conversion factors updated with 2024 price-level indices. Core conversion methodology for all PPP-adjusted figures in this article.
https://www.worldbank.org/en/programs/icp -
Glassdoor Economic Research — Global Tech Pay Report, 2024–2025Primary source for European and Asia-Pacific market salary data, supplemented by LinkedIn Salary Insights for cross-validation.
https://www.glassdoor.com/research/ -
Eurostat — Labour Cost Survey and Structure of Earnings SurveyInstitutional EU labour-cost data used for Belgium, France, Netherlands, Germany, Austria, Finland and Ireland validation.
https://ec.europa.eu/eurostat/ -
U.S. Bureau of Labor Statistics — Occupational Employment and Wage Statistics (OEWS)Official US wage data for software developers and related occupations, used as an institutional cross-check on Levels.fyi survey data.
https://www.bls.gov/oes/ -
IMF — World Economic Outlook, April 2025Macroeconomic context and growth projections for economies discussed in the analysis.
https://www.imf.org/en/publications/weo
All numerical values are approximate, rounded and harmonised for clarity. They should not be cited as official statistics without reference to the original source datasets.