Income Tax Comparison

Software engineer in Cluj-Napoca · Peak earning years

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

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

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 €33,880.
  • 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 €10,350.
  • 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 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.
🔁
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% 1,853,515.8 1,187,075.692 2,868,532.174 100% 43
10% 1,664,786.98 1,067,587.239 2,580,876.419 100% 44
20% 1,476,479.71 947,980.276 2,285,240.031 100% 45
30% 1,287,426.1800000002 826,615.377 1,994,893.541 100% 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

What would you like to explore next?