AI Income Risk · Real Estate

Groot-Rijnmond

ProofIndex score 33/100 (Low Risk) · medium confidence

ProofIndex score: 33/100 (Low Risk risk).

Low Risk is this area's band among covered Netherlands 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

Groot-Rijnmond (Netherlands) is relatively insulated in ProofIndex’s scoring, with a ProofIndex score of 33/100 (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: 29/100
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
Derived Dutch rental vacancy pressure · Derived · Province / COROP · vintage 2024-2025. Uses CBS unemployment-benefit, job-vacancy, tenure, income, and WOZ housing series; rental vacancy pressure is a derived proxy, and COROP job vacancies may be allocated from province totals.
Rental Market Exposure: CBS + ProofIndex model
Derived Dutch rental vacancy pressure · Derived · Province / COROP · vintage 2024-2025. Uses CBS unemployment-benefit, job-vacancy, tenure, income, and WOZ housing series; rental vacancy pressure is a derived proxy, and COROP job vacancies may be allocated from province totals.
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?

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, Groot-Rijnmond is less exposed than most covered Netherlands markets. It scores 33/100 (Low Risk) overall, and 29/100 on employment vulnerability, which measures how much local work overlaps with tasks AI can already do.

How exposed is the Groot-Rijnmond housing market to AI automation?

Groot-Rijnmond scores 33/100 (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 33/100. 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 29/100. Confidence in the underlying data for this area is medium.

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