Income Tax 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 tax rate 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%.
  • The labor income tax rate varies between 0% and 30%.
  • 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.
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Varied parameter
Income tax rate 0% → 30%

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
0% 988,698 637,924 1,518,498 99% 55
10% 884,971 569,974 1,357,166 97% 56
20% 776,012 503,970 1,187,169 93% 58
30% 661,849 433,197 1,015,676 84% 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

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