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Cost of Living for International Students in Europe

An exploratory analysis comparing affordability across 11 major European cities through two different lenses: the local average wage, and a fixed international student budget.

Key findings

  1. Cheap on paper ≠ affordable in practice. Lisbon, despite low absolute prices, has the worst affordability ratio (1.51) for its own residents — wages haven't kept up with rent and groceries.
  2. Absolute and relative views can disagree. Turin has the best affordability ratio but lands mid-pack in absolute savings potential because both salary and costs are low.
  3. Affordability depends on whose income you use. On a fixed 1000 USD student budget, every single city in the analysis is over the break-even line. Amsterdam in particular flips from "good for locals" (0.71) to "worst for students" (2.57).

Stack

Python · Pandas · Matplotlib · Seaborn · Jupyter

Data

Global Cost of Living on Kaggle (Numbeo, May 2022 snapshot). 4,874 cities × 55 price columns, filtered down to 248 quality-checked European cities and a focus set of 11 major student hubs.

Selected visualizations

Affordability ratio across European cities

Local vs international student perspective

Limitations

A short, honest list — these matter when interpreting the charts:

  • Numbeo data is crowd-sourced; even quality-flagged values reflect contributor demographics rather than full markets.
  • Snapshot is from May 2022 — rents in Lisbon, Berlin, and Amsterdam in particular have moved significantly since.
  • Average net salary is a rough proxy for "typical local" and hides within-city inequality.
  • Grocery consumption multipliers are reasonable personal estimates, not validated against survey data.
  • Student budget is a single fixed assumption (1000 USD); a sensitivity analysis across 800/1000/1200 would strengthen the conclusion.

Possible next steps

  • Layer in 2024–2025 rent data from Idealista or Immobiliare.it for current numbers.
  • Add a sensitivity analysis on the student budget assumption.
  • Extend the city set to 20+ and use ranking robustness across multiple metrics.

Author

Emirhan Ömer — Computer Engineering student at Politecnico di Torino.

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