AI Income Risk · Real Estate
Groot-Rijnmond
ProofIndex score 32/100 (Low Risk) · medium confidence
ProofIndex score: 32/100 — Low Risk risk.
Scoring period 2026-Q2 · medium data confidence
Groot-Rijnmond (Netherlands) is relatively insulated in ProofIndex’s scoring, with a ProofIndex score of 32/100 (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 — 100/100
- Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.
- Housing Leverage — 47/100
- How leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.
- Income Concentration — 43/100
- How concentrated local income is in higher-paid, AI-exposed work.
- Employment Vulnerability — 27/100
- How exposed local jobs are to AI automation, based on the area’s occupation mix.
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 — CBS + ProofIndex model
- Derived Dutch sub-regional proxy · Proxy · COROP · vintage 2024-2025. Derived from province-level official data and local adjustment factors.
- Income Concentration — CBS + ProofIndex model
- Dutch COROP estimates · Derived · COROP · vintage 2024-2025. Uses official CBS series with ProofIndex transformations where direct COROP indicators are incomplete.
- Housing Leverage — CBS + ProofIndex model
- Dutch COROP estimates · Derived · COROP · vintage 2024-2025. Uses official CBS series with ProofIndex transformations where direct COROP indicators are incomplete.
- Rental Market Exposure — CBS + ProofIndex model
- Dutch COROP estimates · Derived · COROP · vintage 2024-2025. Uses official CBS series with ProofIndex transformations where direct COROP indicators are incomplete.
- Resilience Factors — CBS + ProofIndex model
- Dutch COROP estimates · Derived · COROP · vintage 2024-2025. Uses official CBS series with ProofIndex transformations where direct COROP indicators are incomplete.
Frequently asked questions
Is Groot-Rijnmond at risk from AI job losses?
Groot-Rijnmond has less exposure than most covered Netherlands markets. It scores 32/100 (Low Risk) overall, and 27/100 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 Groot-Rijnmond housing market to AI automation?
Groot-Rijnmond scores 32/100 (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 47/100. This measures how leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income. Housing leverage scores 47/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 100/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Netherlands, so this compares Groot-Rijnmond with other Netherlands markets. It cannot be compared directly with markets abroad.
Why is Groot-Rijnmond rated Low Risk?
Low Risk is the risk tier ProofIndex assigns to a composite score of 32/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Groot-Rijnmond the risk pillars rank housing leverage 47/100, income concentration 43/100, employment vulnerability 27/100. Confidence in the underlying data for this area is medium.
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Other Netherlands markets
- Agglomeratie Haarlem — 94/100
- Het Gooi en Vechtstreek — 87/100
- Agglomeratie Leiden en Bollenstreek — 86/100
- Utrecht — 78/100
- Utrecht — 78/100
- Veluwe — 78/100