Income Growth Comparison

Software engineer in Munich · The steady builder

This page compares financial outcomes for a Software engineer living in Munich, Germany, following the The steady builder life scenario.

A balanced financial life built on predictable income growth, consistent saving, and long-term market participation. Progress comes from patience, stability, and compounding over time.

Munich offers very strong income potential in high-skill sectors, along with some of the highest living costs in Germany.

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 €33,040.
  • Labor income grows annually at an average rate of 4%.
  • A labor income tax rate of 35% is applied to gross earnings.
  • The saving rate is set to 20%.
  • Minimum annual living expenses are €19,500.
  • Savings are invested with stochastic annual returns.
  • The average annual return is 5%, 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.
🔁
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% 297,562 187,236 483,247 10% 63
3% 485,497 315,745 766,367 52% 61
5% 713,701 473,980 1,078,669 90% 59

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 Munich

Net Worth Range

net_worth_range for Software engineer in Munich

Fi Probability

fi_probability for Software engineer in Munich

Fi Median Age

fi_median_age for Software engineer in Munich

What would you like to explore next?