AI Income Risk · Real Estate

Gelderland

ProofIndex score 55/100 (Moderate Risk) · medium confidence

ProofIndex score: 55/100 — Moderate Risk risk.

Scoring period 2026-Q2 · medium confidence in the underlying data

Gelderland (Netherlands) shows moderate exposure in ProofIndex’s scoring, with a ProofIndex score of 55/100 (Moderate Risk). The biggest contributor is income concentration — how concentrated local income is in higher-paid, AI-exposed work.

Key risk drivers

Resilience Factors — 84/100
Local economic cushioning — savings, benefits, and job diversity that absorb an income shock.
Income Concentration — 65/100
How concentrated local income is in higher-paid, AI-exposed work.
Housing Leverage — 63/100
How leveraged local mortgage borrowers are — loan-to-value, debt-to-income, and price-to-income.
Employment Vulnerability — 59/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.

Where this score comes from

Every ProofIndex pillar is computed from published statistics. These are the sources behind this area's score, with the vintage of each and the limitation we know about it.

Employment Vulnerability — CBS — Statistics Netherlands
Dutch occupation classification · Official statistics · Province · vintage 2024. Direct province-level occupation data; COROP areas may inherit adjusted province mix.
Income Concentration — CBS — Statistics Netherlands
Dutch official regional statistics · Official statistics · Province / COROP · vintage 2024-2025. Official national statistics; COROP-level values may combine direct series with derived regional ratios.
Housing Leverage — CBS — Statistics Netherlands
Dutch official regional statistics · Official statistics · Province / COROP · vintage 2024-2025. Official national statistics; COROP-level values may combine direct series with derived regional ratios.
Rental Market Exposure — CBS — Statistics Netherlands
Dutch official regional statistics · Official statistics · Province / COROP · vintage 2024-2025. Official national statistics; COROP-level values may combine direct series with derived regional ratios.
Resilience Factors — CBS — Statistics Netherlands
Dutch official regional statistics · Official statistics · Province / COROP · vintage 2024-2025. Official national statistics; COROP-level values may combine direct series with derived regional ratios.

Frequently asked questions

Is Gelderland at risk from AI job losses?

Moderately — Gelderland sits mid-pack among the Netherlands markets ProofIndex tracks. It scores 55/100 (Moderate Risk) overall, and 59/100 on employment vulnerability — how much of the local occupation mix overlaps with work today’s 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 sits in work that AI is changing.

How exposed is the Gelderland housing market to AI automation?

Gelderland scores 55/100 (Moderate Risk) on ProofIndex, which blends how exposed local incomes are to AI with how leveraged the local housing market is. The largest single contributor is income concentration at 65/100 — how concentrated local income is in higher-paid, AI-exposed work. Housing leverage — loan-to-value, debt-to-income, and price-to-income among local borrowers — scores 63/100. Local resilience — savings, benefits, and job diversity that absorb an income shock — scores 84/100 and pulls the composite down. Scores are normalized 0–100 within Netherlands, so this ranks Gelderland against other Netherlands markets rather than against markets abroad.

Why is Gelderland rated Moderate Risk?

Moderate Risk is the risk tier ProofIndex assigns to a composite score of 55/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Gelderland the risk pillars rank income concentration 65/100, housing leverage 63/100, employment vulnerability 59/100. Confidence in the underlying data for this area is medium.

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Full pillar breakdowns, peer benchmarking, and data sources with confidence ratings.

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