Varied parameter
Income growth (annual)
1% → 5%
Income Growth Comparison
Software engineer in Hamburg · Independent and uneven
This page compares financial outcomes for a Software engineer living in Hamburg, Germany, following the Independent and uneven life scenario.
A non-linear income path shaped by project-based work, variability, and self-managed risk. Flexibility is high, but consistency must be actively created rather than assumed.
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 15%.
- Minimum annual living expenses are €18,300.
- 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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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% | 225,663 | 138,287 | 376,251 | 4% | 63 |
| 3% | 346,055 | 221,934 | 551,286 | 24% | 62 |
| 5% | 503,874 | 333,783 | 767,714 | 63% | 61 |
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
