Saving Rate Comparison

Software engineer in Hamburg · Starting late

This page compares financial outcomes for a Software engineer living in Hamburg, Germany, following the Starting late life scenario.

A financial life that begins later, leaving fewer years for compounding to work. Success relies on disciplined saving, steady income, and sustained focus over a shorter horizon.

Hamburg has a strong professional services and logistics economy, with above-average costs and solid income potential.

The comparison focuses on how changing the Saving rate influences long-term results, while all other assumptions remain constant.

Simulation Overview

Base scenario assumptions

  • The simulation starts at age 40 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 varies between 5% and 25%.
  • 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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Varied parameter
Saving rate 5% → 25%

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
5% 54,046 31,474 83,876 0%
10% 124,364 83,583 181,449 0%
15% 190,722 129,195 271,725 0% 64
20% 254,305 174,290 358,712 1% 64
25% 310,977 214,909 434,748 8% 64

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 Hamburg

Net Worth Range

net_worth_range for Software engineer in Hamburg

Fi Probability

fi_probability for Software engineer in Hamburg

Fi Median Age

fi_median_age for Software engineer in Hamburg

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