Executive Summary

The Swiss Federal Statistical Office (FSO) has released new data on the living situation of the middle class. 55.2% of the population belongs to the middle income group, a share that has remained stable over 25 years. Data from the Household Budget Survey (HABE) 2023 and the SILC survey 2024 reveal significant differences between the lower and upper middle. In the lower middle, 25% of households cannot cover unexpected expenses of 2,500 francs; in the upper middle, this applies to only 10.9%. Housing costs and payment arrears also create significantly higher burdens for lower-income households in the middle class.

Persons

Topics

  • Income distribution and middle class
  • Financial burdens and housing costs
  • Living conditions in Switzerland
  • Household budgets and payment capacity

Clarus Lead

The study reveals an increasing polarization within the middle class itself, which reframes political debates on social services and the housing market. While the overall size of the middle class remains stable, the economic vulnerability of the lower half is growing measurably: financial bottlenecks, payment arrears, and restricted quality of life are concentrated there significantly. For decision-makers, the question arises whether previous middle-class-oriented policy measures address the actual disparities within this group or whether differentiation is required.

Detailed Summary

The definition of the middle class is based on gross income: single persons earning 4,228–9,061 francs monthly or couples with two children under 14 years earning 8,880–19,028 francs belong to it. The boundary between lower and upper middle is drawn at 6,041 francs (single persons) and 12,685 francs (couples). Over the period 1998–2023, this population share remained fundamentally stable despite fluctuations (peak in 2009: 61.3%; low in 2018: 54.4%).

Housing costs represent a central burden criterion: 10.5% of the lower middle paid over 40% of their available household income for housing in 2024, compared to only 3.5% of the upper middle. Financial flexibility is clearly lacking for the lower middle – 25% cannot manage unexpected expenses of 2,500 francs. Regarding payment arrears (taxes, insurance premiums, rents, utilities, loans), 8.7% of the lower middle are affected, while 6.7% of the upper middle are. Holiday capacity also differs significantly: 11.1% of the lower middle could not travel for financial reasons, compared to only 3.1% of the upper middle. Satisfaction with the financial situation underscores this gap – 10.6% of the lower middle expressed dissatisfaction (scale 0–4 out of 10), compared to 3.7% in the upper middle.

Key Findings

  • The Swiss middle class (55.2% of the population) has remained remarkably stable over 25 years, despite economic fluctuations.
  • Financial vulnerability is concentrated in the lower middle: one quarter cannot cover emergency expenses, one in ten suffers from housing cost burden.
  • Payment arrears, holiday foregone, and financial dissatisfaction are 1.5–3.6 times more common in the lower middle than in the upper middle.

Critical Questions

  1. Data Quality: How were incomes recorded (self-reported, tax data, insurance records)? What are the error margins for HABE and SILC?

  2. Methodological Delimitation: Why is the boundary between lower and upper middle drawn at 6,041/12,685 francs? Is this based on statistical percentiles or political specifications?

  3. Causality: Do lower incomes cause financial difficulties, or are there confounding factors (debt level, household size, labor market instability)?

  4. Implementation Risks: What measures could specifically relieve the lower middle without burdening the upper middle? Are housing cost subsidies or premium reductions planned?

  5. Temporal Stability: Are the 2024 values consistent with previous years, or do they indicate an escalation?

Source Index

Primary Source: Household Budget Survey (HABE) 2023 and SILC Survey 2024 – Federal Statistical Office

Verification Status: ✓ 08.05.2026

This text was created with the support of an AI model. Editorial responsibility: clarus.news | Fact-checking: 08.05.2026