AI Income Risk · Real Estate

Kraj Vysočina

ProofIndex score 27/100 (Low Risk) · medium confidence

ProofIndex score: 27/100 — Low Risk risk.

Scoring period 2026-Q2 · medium data confidence

Kraj Vysočina (Czech Republic) is relatively insulated in ProofIndex’s scoring, with a ProofIndex score of 27/100 (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

Resilience Factors — 56/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.
Housing Leverage — 37/100
How leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.
Employment Vulnerability — 20/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration — 17/100
How concentrated local income is in higher-paid, AI-exposed work.

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 — ČSÚ — VŠPS
Labour Force Survey occupation mix · Official statistics · Regional · vintage 2024. Occupation mix is direct at regional level; smaller districts may inherit and adjust regional structure.
Income Concentration — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.
Housing Leverage — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.
Rental Market Exposure — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.
Resilience Factors — ČSÚ — Czech Statistical Office
Czech statistical indicators · Official statistics · Regional / district · vintage 2024-2025. Official regional data; some district-level housing inputs are modelled from available market and labor indicators.

Frequently asked questions

Is Kraj Vysočina at risk from AI job losses?

Kraj Vysočina has less exposure than most covered Czech Republic markets. It scores 27/100 (Low Risk) overall, and 20/100 on employment vulnerability, which measures how much local work overlaps with tasks 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 comes from work that AI is changing.

How exposed is the Kraj Vysočina housing market to AI automation?

Kraj Vysočina scores 27/100 (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 37/100. This measures how leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income. Housing leverage scores 37/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 56/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Czech Republic, so this compares Kraj Vysočina with other Czech Republic markets. It cannot be compared directly with markets abroad.

Why is Kraj Vysočina rated Low Risk?

Low Risk is the risk tier ProofIndex assigns to a composite score of 27/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Kraj Vysočina the risk pillars rank housing leverage 37/100, employment vulnerability 20/100, income concentration 17/100. Confidence in the underlying data for this area is medium.

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