Crowdsourced Data
Community-reported compensation, savings, lifestyle and infrastructure data from tech workers across Europe.
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One overall ranking that blends financial outcomes (savings, people supported, lifestyle) with livability — developer happiness and infrastructure. Only countries with enough of both kinds of data are scored, so the board reflects lived experience — not pay alone. Financial leads the blend (60/40), since it rests on far more submissions.
| Rank | Country | Overall Score | Financial | Livability | Ratings |
|---|---|---|---|---|---|
#1 | Poland | 76 / 100 | 68.6 | 87 | 30 |
#2 | Switzerland | 73.4 / 100 | 63.4 | 88.5 | 19 |
#3 | Serbia | 66.4 / 100 | 78.6 | 48.2 | 9 |
#4 | Romania | 60.2 / 100 | 70.9 | 44.1 | 17 |
#5 | Lithuania | 57.1 / 100 | 56.1 | 58.6 | 5 |
#6 | United Kingdom | 50.9 / 100 | 48.8 | 54 | 9 |
#7 | Netherlands | 48.8 / 100 | 42.9 | 57.8 | 16 |
#8 | Finland | 44.3 / 100 | 50.1 | 35.6 | 5 |
#9 | Germany | 44.1 / 100 | 45.6 | 41.8 | 47 |
#10 | Austria | 34.7 / 100 | 12.4 | 68.1 | 6 |
#11 | Spain | 29.4 / 100 | 26.1 | 34.3 | 54 |
#12 | Italy | 27.1 / 100 | 22.9 | 33.2 | 11 |
#13 | France | 25.5 / 100 | 38.9 | 5.4 | 10 |
#14 | Portugal | 20.4 / 100 | 12.5 | 32.3 | 11 |
Not yet ranked — help complete the picture
These countries have plenty of salary data but not enough happiness & infrastructure ratings to score fairly yet. A few more ratings each puts them on the board.
How the composite score is calculated
Every country and city is scored 0–100 by an equal-weight composite of three crowdsourced pillars. Higher is better. The weights are fixed and identical for every row.
Composite = 100 × mean( norm(savings) , norm(lifestyle) , norm(people_supported) )
norm(x) = (x − min) / (max − min) # min & max taken across all ranked
# countries (or cities), per pillarThe three pillars (⅓ weight each)
- Annual savings — euros kept per year after tax and cost of living (absolute €).
- Lifestyle level — self-reported quality-of-life, scale 1 (frugal) to 3 (luxurious).
- Avg. people supported — how many people the income supports (household-size signal).
- Each pillar is min-max normalized across the ranked set, so a score is relative to the other places shown — not an absolute index.
- The score always uses absolute € savings. The “Savings as % of income” toggle is a display view only and never changes a ranking.
- The Happiness & Infrastructure ranking uses the same method with two equal-weight pillars (happiness, tax & infrastructure satisfaction).
- Rows backed by fewer than 25 submissions are flagged low n and can be hidden with the “high-confidence only” toggle.
The Overall (Livability) rank — the default view
Blends the two rankings above into one 0–100 score, weighted 60% financial outcomes / 40% livability (happiness + tax & infrastructure). Financial leads because it rests on far more submissions. Three safeguards keep the blend honest:
- Common scale — both pillars are min-max normalized over the same gated set of places, so 0–1 means the same thing on each axis (we don't average the per-tab composites, which are each scaled over a different population).
- Bayesian shrinkage — a place's happiness/tax score is pulled toward the population average in proportion to how little data backs it (adj = (n·mean + k·prior) / (n+k), k=10), so a country with two ratings can't swing the board.
- Sample gate — a place must clear at least 5 submissions and 5 happiness ratings to be ranked; those that don't appear in the separate “not yet ranked” list.
Cite this data
Euro Top Tech — Crowdsourced Software Engineer Salary & Savings Rankings (Europe). https://www.eurotoptech.com/data