Urban Stress Index
An indicator of housing and food cost burden across cities

Bologna vs Vilnius

Urban Stress & Living Expense Analysis

Data Snapshot: Bologna (May 2025) | Vilnius (2025 Q3)

Bologna

Italy

60.32 Unaffordable
VS

Vilnius

Lithuania

49.30 High burden

Comparative Metrics Breakdown

Metric Bologna Vilnius
Rental Index (% of Income) 38.26% 34.63%
Engels Index (Food % of Income) 22.05% 14.67%
Urban Stress Index (USI) 60.32 49.30

* Note: Direct monetary comparisons are suppressed for cross-border city pairs to eliminate exchange rate volatility and Purchasing Power Parity (PPP) distortions. Metrics evaluate relative expenditure-to-income ratios.

Executive Stress Analysis

A stark disparity in overall financial pressure emerges when comparing Bologna and Vilnius. Crossing international boundaries, direct monetary comparisons are suppressed to avoid PPP and currency distortions. Evaluating salary-to-expense ratios, Bologna presents a USI rating of 60.32 (Unaffordable), demonstrating higher structural pressure than Vilnius's 49.30 (High burden). Accounting for combined housing and baseline food overhead, residents in Bologna retain approximately 39.68% of local earnings in net discretionary income versus 50.70% in Vilnius—giving Vilnius a 11.02% advantage in localized purchasing buffer.

Both urban centers exhibit highly aligned housing allocation ratios (Bologna: 38.26% vs Vilnius: 34.63%), indicating similar rental market friction. Basic nutritional maintenance requires a slightly different budget slice in each city, registering 22.05% in Bologna compared to 14.67% in Vilnius.

Across southern European metros in Portugal, Italy, and Spain, food expenditure consumes a heavy 20–25% slice of local median wages. Current baseline food metrics draw from localized dining samples on Numbeo, which can be inflated by tourist-heavy dining districts. Primary baseline food shares will be recalibrated as standardized regional grocery baskets are established.

Detailed Methodology & Local Sources

For complete statistical breakdowns, specific sampling proxies, and primary source citations:

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