AI Income Risk · Real Estate

Plzeň-jih

ProofIndex score 43/100 (Moderate Risk) · medium confidence

ProofIndex score: 43/100 — Moderate Risk risk.

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

Plzeň-jih (Czech Republic) shows moderate exposure in ProofIndex’s scoring, with a ProofIndex score of 43/100 (Moderate Risk). The biggest contributor is income concentration — how concentrated local income is in higher-paid, AI-exposed work.

Key risk drivers

Resilience Factors — 78/100
Local economic cushioning — savings, benefits, and job diversity that absorb an income shock.
Income Concentration — 62/100
How concentrated local income is in higher-paid, AI-exposed work.
Employment Vulnerability — 47/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Housing Leverage — 31/100
How leveraged local mortgage borrowers are — loan-to-value, debt-to-income, and price-to-income.

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 — ProofIndex model
Interpolated regional proxy · Proxy · Sub-regional · vintage 2026-Q1. Used where direct local measurement is unavailable; treat as directional rather than precise.
Income Concentration — ProofIndex model
Interpolated regional proxy · Proxy · Sub-regional · vintage 2026-Q1. Used where direct local measurement is unavailable; treat as directional rather than precise.
Housing Leverage — ProofIndex model
Interpolated regional proxy · Proxy · Sub-regional · vintage 2026-Q1. Used where direct local measurement is unavailable; treat as directional rather than precise.
Rental Market Exposure — ProofIndex model
Interpolated regional proxy · Proxy · Sub-regional · vintage 2026-Q1. Used where direct local measurement is unavailable; treat as directional rather than precise.
Resilience Factors — ProofIndex model
Interpolated regional proxy · Proxy · Sub-regional · vintage 2026-Q1. Used where direct local measurement is unavailable; treat as directional rather than precise.

Frequently asked questions

Is Plzeň-jih at risk from AI job losses?

Moderately — Plzeň-jih sits mid-pack among the Czech Republic markets ProofIndex tracks. It scores 43/100 (Moderate Risk) overall, and 47/100 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 Plzeň-jih housing market to AI automation?

Plzeň-jih scores 43/100 (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 62/100 — 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 31/100. Local resilience — savings, benefits, and job diversity that absorb an income shock — scores 78/100 and pulls the composite down. Scores are normalized 0–100 within Czech Republic, so this ranks Plzeň-jih against other Czech Republic markets rather than against markets abroad.

Why is Plzeň-jih rated Moderate Risk?

Moderate Risk is the risk tier ProofIndex assigns to a composite score of 43/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Plzeň-jih the risk pillars rank income concentration 62/100, employment vulnerability 47/100, housing leverage 31/100. Confidence in the underlying data for this area is medium.

See the full Plzeň-jih report

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

Generate the full report · Explore on the map

Other Czech Republic markets

View all markets