AI Income Risk · Real Estate

Sumter, SC

ProofIndex score 15/100 (AI-Resilient) · medium confidence

ProofIndex score: 15/100 — AI-Resilient risk.

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

Sumter, SC (United States) is relatively insulated in ProofIndex’s scoring, with a ProofIndex score of 15/100 (AI-Resilient). The biggest contributor is employment vulnerability — how exposed local jobs are to AI automation, based on the area’s occupation mix.

Key risk drivers

Resilience Factors — 56/100
Local economic cushioning — savings, benefits, and job diversity that absorb an income shock.
Employment Vulnerability — 17/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration — 8/100
How concentrated local income is in higher-paid, AI-exposed work.
Housing Leverage — 3/100
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 — US Census Bureau + ProofIndex model
Derived ACS MSA occupation proxy · Proxy · MSA · vintage 2020-2024 ACS 5-year. MSA occupation exposure is inferred from local education and parent-state sector mix.
Income Concentration — US Census Bureau — ACS 5-year
ACS MSA indicators · Official statistics · MSA · vintage 2020-2024 ACS 5-year. Official survey data at metro level; occupation exposure still uses derived sector/education mapping.
Housing Leverage — Zillow Research
Zillow metro home value index · Market data · MSA · vintage May 2026 file release. Market data series for metro home values; some credit and rent inputs are modelled.
Rental Market Exposure — Zillow Research
Zillow metro home value index · Market data · MSA · vintage May 2026 file release. Market data series for metro home values; some credit and rent inputs are modelled.
Resilience Factors — US Department of Labor ETA + ProofIndex model
US metro resilience estimate · Derived · MSA · vintage 2026. Derived from state-level safety-net parameters and metro labor-market characteristics.

Frequently asked questions

Is Sumter, SC at risk from AI job losses?

Less than most — Sumter, SC is relatively insulated among the United States markets ProofIndex tracks. It scores 15/100 (AI-Resilient) overall, and 17/100 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 Sumter, SC housing market to AI automation?

Sumter, SC scores 15/100 (AI-Resilient) on ProofIndex, which blends how exposed local incomes are to AI with how leveraged the local housing market is. The largest single contributor is employment vulnerability at 17/100 — how exposed local jobs are to AI automation, based on the area’s occupation mix. Housing leverage — loan-to-value, debt-to-income, and price-to-income among local borrowers — scores 3/100. Local resilience — savings, benefits, and job diversity that absorb an income shock — scores 56/100 and pulls the composite down. Scores are normalized 0–100 within United States, so this ranks Sumter, SC against other United States markets rather than against markets abroad.

Why is Sumter, SC rated AI-Resilient?

AI-Resilient is the risk tier ProofIndex assigns to a composite score of 15/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Sumter, SC the risk pillars rank employment vulnerability 17/100, income concentration 8/100, housing leverage 3/100. Confidence in the underlying data for this area is medium.

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