Income Growth Comparison

Software engineer in Madrid · Fast-track independence

This page compares financial outcomes for a Software engineer living in Madrid, Spain, following the Fast-track independence life scenario.

A high-intensity saving and investing strategy aimed at reaching financial independence as early as possible. Strong outcomes require discipline, sacrifice, and tolerance for market risk.

Madrid concentrates many higher-paying roles and business opportunities, with a correspondingly higher urban cost structure.

The comparison focuses on how changing the Income growth (annual) influences long-term results, while all other assumptions remain constant.

Simulation Overview

Base scenario assumptions

  • The simulation starts at age 30 and runs until age 65.
  • The initial annual labor income is €27,720.
  • Labor income grows annually at an average rate of 4%.
  • A labor income tax rate of 30% is applied to gross earnings.
  • The saving rate is set to 40%.
  • Minimum annual living expenses are €14,160.
  • Savings are invested with stochastic annual returns.
  • The average annual return is 6%, with year-to-year variability.
  • All values are expressed in real terms, assuming average annual inflation of 2%.
  • The simulation includes stochastic life events such as unemployment, and health issue.
  • These events may temporarily affect income, expenses, or net worth.
  • Financial independence is defined as having net worth equal to 25 times annual expenses.
  • Bankruptcy is triggered if net worth remains below €0 for 2 consecutive years.
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Varied parameter
Income growth (annual) 1% → 5%

Scenario Comparison

Results are shown as a realistic range. P10 represents a pessimistic outcome, while P90 represents an optimistic outcome. Most simulations fall between these two values.

ScenarioMedian Net WorthP10 Net WorthP90 Net WorthFI ProbabilityFI Median Age
1% 748,456 469,818 1,207,793 99% 54
3% 1,116,418 712,109 1,749,341 100% 50
5% 1,578,574 1,027,619 2,401,000 100% 48

How Your Financial Life Evolves

These charts show how each scenario affects long-term outcomes, including expected wealth, downside risk, and the likelihood of achieving financial independence.

Net Worth Median

net_worth_median for Software engineer in Madrid

Net Worth Range

net_worth_range for Software engineer in Madrid

Fi Probability

fi_probability for Software engineer in Madrid

Fi Median Age

fi_median_age for Software engineer in Madrid

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