AI Income Risk · Real Estate

Jeseník

ProofIndex score 28/100 (Low Risk) · medium confidence

ProofIndex score: 28/100 (Low Risk risk).

Low Risk is this area's band among covered Czech Republic markets, not an expected outcome. Confidence (medium) describes how complete and direct the input data is, not how accurate a prediction would be.

Scoring period 2026-Q3 · medium data confidence

Jeseník (Czech Republic) is relatively insulated in ProofIndex’s scoring, with a ProofIndex score of 28/100 (Low Risk). The biggest contributor is housing leverage. This measures how leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.

Key risk drivers

Housing Leverage: 18/100
How leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.
Employment Vulnerability: 16/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration: 12/100
How concentrated local income is in higher-paid, AI-exposed work.
Resilience Factors: 3/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.

Where this score comes from

Every ProofIndex pillar uses published statistics. Review the sources behind this area's score, when each was released, and its known limitations.

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 + Valuo + ProofIndex model
Derived district housing and vacancy signal · Derived · District · vintage Apr 2026. District housing values combine market property prices with official MPSV unemployment and job-vacancy tightness; vacancy pressure is a labor-market-derived proxy, not direct rental vacancy microdata.
Rental Market Exposure: MPSV + Valuo + ProofIndex model
Derived district housing and vacancy signal · Derived · District · vintage Apr 2026. District housing values combine market property prices with official MPSV unemployment and job-vacancy tightness; vacancy pressure is a labor-market-derived proxy, not direct rental vacancy 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 Jeseník at risk from AI job losses?

ProofIndex does not forecast job losses. It measures how exposed local incomes are: a higher score means more of the local wage base comes from work that AI is changing. On that measure, Jeseník is less exposed than most covered Czech Republic markets. It scores 28/100 (Low Risk) overall, and 16/100 on employment vulnerability, which measures how much local work overlaps with tasks AI can already do.

How exposed is the Jeseník housing market to AI automation?

Jeseník scores 28/100 (Low Risk) on ProofIndex, which blends how exposed local incomes are to AI with how leveraged the local housing market is. The largest contributor is housing leverage at 18/100. This measures how leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income. Housing leverage scores 18/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 3/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Czech Republic, so this compares Jeseník with other Czech Republic markets. It cannot be compared directly with markets abroad.

Why is Jeseník rated Low Risk?

Low Risk is the risk tier ProofIndex assigns to a composite score of 28/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Jeseník the risk pillars rank housing leverage 18/100, employment vulnerability 16/100, income concentration 12/100. Confidence in the underlying data for this area is medium.

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