Varied parameter
Income growth (annual)
1% → 5%
Income Growth Comparison
Software engineer in Hamburg · Peak earning years
This page compares financial outcomes for a Software engineer living in Hamburg, 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.
Hamburg has a strong professional services and logistics economy, with above-average costs and solid income potential.
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 €31,080.
- 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 30%.
- Minimum annual living expenses are €18,300.
- 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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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.
| Scenario | Median Net Worth | P10 Net Worth | P90 Net Worth | FI Probability | FI Median Age |
|---|---|---|---|---|---|
| 1% | 401,935 | 259,683 | 639,008 | 40% | 62 |
| 3% | 772,199 | 503,616 | 1,219,442 | 96% | 58 |
| 5% | 1,158,313 | 769,072 | 1,772,438 | 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 Range
Fi Probability
Fi Median Age
