AI Income Risk · Real Estate

Rauma

ProofIndex score 37/100 (Low Risk) · medium confidence

ProofIndex score: 37/100 (Low Risk risk).

Low Risk is this area's band among covered Finland 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

Rauma (Finland) is relatively insulated in ProofIndex’s scoring, with a ProofIndex score of 37/100 (Low Risk). The biggest contributor is income concentration. This measures how concentrated local income is in higher-paid, AI-exposed work.

Key risk drivers

Income Concentration: 51/100
How concentrated local income is in higher-paid, AI-exposed work.
Housing Leverage: 29/100
How leveraged local mortgage borrowers are, based on loan-to-value, debt-to-income, and price-to-income.
Employment Vulnerability: 6/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Resilience Factors: 2/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.

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: Statistics Finland + ProofIndex model
Derived Finnish local estimate · Proxy · Seutukunta · vintage 2023-2025. Derived from official StatFin regional data because direct local series are incomplete.
Income Concentration: Statistics Finland — StatFin
Finnish income statistics · Official statistics · Seutukunta · vintage 2024. Direct income series at seutukunta level.
Housing Leverage: Statistics Finland + ProofIndex model
Derived Finnish rental vacancy pressure · Derived · Maakunta / seutukunta · vintage 2023-2025. Uses StatFin-backed home prices, income, tenure, and population scale; rental vacancy pressure is a housing-market-derived proxy, not direct residential vacancy microdata.
Rental Market Exposure: Statistics Finland + ProofIndex model
Derived Finnish rental vacancy pressure · Derived · Maakunta / seutukunta · vintage 2023-2025. Uses StatFin-backed home prices, income, tenure, and population scale; rental vacancy pressure is a housing-market-derived proxy, not direct residential vacancy microdata.
Resilience Factors: Statistics Finland + ProofIndex model
Derived Finnish local estimate · Derived · Seutukunta · vintage 2023-2025. Derived from official StatFin regional data because direct local series are incomplete.

Frequently asked questions

Is Rauma 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, Rauma is less exposed than most covered Finland markets. It scores 37/100 (Low Risk) overall, and 6/100 on employment vulnerability, which measures how much local work overlaps with tasks AI can already do.

How exposed is the Rauma housing market to AI automation?

Rauma scores 37/100 (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 income concentration at 51/100. This measures how concentrated local income is in higher-paid, AI-exposed work. Housing leverage scores 29/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 2/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within Finland, so this compares Rauma with other Finland markets. It cannot be compared directly with markets abroad.

Why is Rauma rated Low Risk?

Low Risk is the risk tier ProofIndex assigns to a composite score of 37/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Rauma the risk pillars rank income concentration 51/100, housing leverage 29/100, employment vulnerability 6/100. Confidence in the underlying data for this area is medium.

See the full Rauma report

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

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