AI Income Risk · Real Estate

Mladá Boleslav

ProofIndex score 77/100 (High Risk) · medium confidence

ProofIndex score: 77/100 — High Risk risk.

Scoring period 2026-Q2 · medium confidence in the underlying data

Mladá Boleslav (Czech Republic) ranks among the higher-risk markets ProofIndex tracks, with a ProofIndex score of 77/100 (High Risk). The biggest contributor is employment vulnerability — how exposed local jobs are to AI automation, based on the area’s occupation mix.

Key risk drivers

Employment Vulnerability — 97/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration — 96/100
How concentrated local income is in higher-paid, AI-exposed work.
Resilience Factors — 66/100
Local economic cushioning — savings, benefits, and job diversity that absorb an income shock.
Housing Leverage — 55/100
How leveraged local mortgage borrowers are — loan-to-value, debt-to-income, and price-to-income.

Where this score comes from

Every ProofIndex pillar is computed from published statistics. These are the sources behind this area's score, with the vintage of each and the limitation we know about it.

Employment Vulnerability — MPSV — Ministry of Labour and Social Affairs
Labour market portal indicators · Derived · District · vintage Apr 2026. Official labor-market signal; when used for occupation mix it acts as an adjustment factor rather than direct occupation data.
Income Concentration — MPSV + ProofIndex model
Derived labor-market adjustment · Derived · District · vintage Apr 2026. District values are derived from official labor-market tightness and unemployment rather than direct occupation microdata.
Housing Leverage — MPSV + ProofIndex model
Derived labor-market adjustment · Derived · District · vintage Apr 2026. District values are derived from official labor-market tightness and unemployment rather than direct occupation microdata.
Rental Market Exposure — MPSV + ProofIndex model
Derived labor-market adjustment · Derived · District · vintage Apr 2026. District values are derived from official labor-market tightness and unemployment rather than direct occupation microdata.
Resilience Factors — MPSV + ProofIndex model
Derived labor-market adjustment · Derived · District · vintage Apr 2026. District values are derived from official labor-market tightness and unemployment rather than direct occupation microdata.

Frequently asked questions

Is Mladá Boleslav at risk from AI job losses?

Relative to other Czech Republic markets, yes — Mladá Boleslav ranks among the higher-risk markets ProofIndex tracks. It scores 77/100 (High Risk) overall, and 97/100 on employment vulnerability — how much of the local occupation mix overlaps with work today’s AI can already do. ProofIndex measures how exposed local incomes are, not how many jobs will go: a higher score means more of the local wage base sits in work that AI is changing.

How exposed is the Mladá Boleslav housing market to AI automation?

Mladá Boleslav scores 77/100 (High Risk) on ProofIndex, which blends how exposed local incomes are to AI with how leveraged the local housing market is. The largest single contributor is employment vulnerability at 97/100 — how exposed local jobs are to AI automation, based on the area’s occupation mix. Housing leverage — loan-to-value, debt-to-income, and price-to-income among local borrowers — scores 55/100. Local resilience — savings, benefits, and job diversity that absorb an income shock — scores 66/100 and pulls the composite down. Scores are normalized 0–100 within Czech Republic, so this ranks Mladá Boleslav against other Czech Republic markets rather than against markets abroad.

Why is Mladá Boleslav rated High Risk?

High Risk is the risk tier ProofIndex assigns to a composite score of 77/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Mladá Boleslav the risk pillars rank employment vulnerability 97/100, income concentration 96/100, housing leverage 55/100. Confidence in the underlying data for this area is medium.

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