AI Income Risk · Real Estate

Rychnov nad Kněžnou

ProofIndex score 66/100 (High Risk) · medium confidence

ProofIndex score: 66/100 — High Risk risk.

Scoring period 2026-Q2 · medium data confidence

Rychnov nad Kněžnou (Czech Republic) ranks among the higher-risk markets covered by ProofIndex, with a ProofIndex score of 66/100 (High Risk). The biggest contributor is employment vulnerability. This measures how exposed local jobs are to AI automation, based on the area’s occupation mix.

Key risk drivers

Employment Vulnerability — 92/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration — 80/100
How concentrated local income is in higher-paid, AI-exposed work.
Resilience Factors — 29/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.
Housing Leverage — 13/100
How leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.

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 + 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 Rychnov nad Kněžnou at risk from AI job losses?

Yes. Rychnov nad Kněžnou ranks among the higher-risk Czech Republic markets covered by ProofIndex. It scores 66/100 (High Risk) overall, and 92/100 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 Rychnov nad Kněžnou housing market to AI automation?

Rychnov nad Kněžnou scores 66/100 (High Risk) on ProofIndex, which blends how exposed local incomes are to AI with how leveraged the local housing market is. The largest contributor is employment vulnerability at 92/100. This measures how exposed local jobs are to AI automation, based on the area’s occupation mix. Housing leverage scores 13/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 29/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Czech Republic, so this compares Rychnov nad Kněžnou with other Czech Republic markets. It cannot be compared directly with markets abroad.

Why is Rychnov nad Kněžnou rated High Risk?

High Risk is the risk tier ProofIndex assigns to a composite score of 66/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Rychnov nad Kněžnou the risk pillars rank employment vulnerability 92/100, income concentration 80/100, housing leverage 13/100. Confidence in the underlying data for this area is medium.

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