AI Income Risk · Real Estate

Ogden, UT

ProofIndex score 64/100 (High Risk) · medium confidence

ProofIndex score: 64/100 — High Risk risk.

Scoring period 2026-Q2 · medium data confidence

Ogden, UT (United States) ranks among the higher-risk markets covered by ProofIndex, with a ProofIndex score of 64/100 (High 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 — 89/100
How concentrated local income is in higher-paid, AI-exposed work.
Employment Vulnerability — 67/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Resilience Factors — 57/100
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.

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.

Modeled EVI limitation: US Employment Vulnerability (EVI) is modeled, not directly measured. It is inferred from ACS sector and education patterns rather than direct BLS OEWS occupation employment. Because EVI contributes 35% of the score, treat this component as directional.

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 Ogden, UT at risk from AI job losses?

Yes. Ogden, UT ranks among the higher-risk United States markets covered by ProofIndex. It scores 64/100 (High Risk) overall, and 67/100 on employment vulnerability, which measures how much local work overlaps with tasks 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 comes from work that AI is changing.

How exposed is the Ogden, UT housing market to AI automation?

Ogden, UT scores 64/100 (High 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 89/100. This measures how concentrated local income is in higher-paid, AI-exposed work. Housing leverage scores 47/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 57/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within United States, so this compares Ogden, UT with other United States markets. It cannot be compared directly with markets abroad.

Why is Ogden, UT rated High Risk?

High Risk is the risk tier ProofIndex assigns to a composite score of 64/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For Ogden, UT the risk pillars rank income concentration 89/100, employment vulnerability 67/100, housing leverage 47/100. Confidence in the underlying data for this area is medium.

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