Income Tax Comparison

Software engineer in Berlin · Peak earning years

This page compares financial outcomes for a Software engineer living in Berlin, Germany, following the Peak earning years life scenario.

A high-income trajectory with strong saving capacity and rapid wealth accumulation. Compounding works faster here, but results remain exposed to market cycles and timing.

Berlin has a diverse economy with strong demand in technology and services, paired with a relatively high cost of living.

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 €30,800.
  • 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 30%.
  • Minimum annual living expenses are €18,000.
  • 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 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% 1,659,103 1,060,089 2,582,707 100% 49
10% 1,482,373 947,601 2,306,181 100% 50
20% 1,298,515 833,087 2,015,442 100% 52
30% 1,083,339 698,604 1,667,408 100% 54

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 Berlin

Net Worth Range

net_worth_range for Software engineer in Berlin

Fi Probability

fi_probability for Software engineer in Berlin

Fi Median Age

fi_median_age for Software engineer in Berlin

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