Saving Rate Comparison

Software engineer in Cluj-Napoca · The steady builder

This page compares financial outcomes for a Software engineer living in Cluj-Napoca, Romania, 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.

Cluj-Napoca combines strong tech opportunities with a high quality of life.

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 30 and runs until age 65.
  • The initial annual labor income is €33,880.
  • Labor income grows annually at an average rate of 4%.
  • A labor income tax rate of 10% is applied to gross earnings.
  • The saving rate varies between 5% and 25%.
  • Minimum annual living expenses are €10,350.
  • 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 3%.
  • 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% 218,168 143,623 338,433 32% 62
10% 453,408 294,512 692,311 96% 57
15% 687,562 444,502 1,049,737 100% 52
20% 920,038 595,633 1,407,895 100% 49
25% 1,152,639 746,728 1,760,432 100% 46

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 Cluj-Napoca

Net Worth Range

net_worth_range for Software engineer in Cluj-Napoca

Fi Probability

fi_probability for Software engineer in Cluj-Napoca

Fi Median Age

fi_median_age for Software engineer in Cluj-Napoca

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