AI Income Risk · Real Estate

District of Columbia

ProofIndex score 68/100 (High Risk) · medium confidence

ProofIndex score: 68/100 (High Risk risk).

High Risk is this area's band among covered United States 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

District of Columbia (United States) ranks among the higher-risk markets covered by ProofIndex, with a ProofIndex score of 68/100 (High Risk). The biggest contributor is employment vulnerability. This measures how exposed local jobs are to AI automation, based on the area’s occupation mix.

Key risk drivers

Employment Vulnerability: 100/100
How exposed local jobs are to AI automation, based on the area’s occupation mix.
Income Concentration: 99/100
How concentrated local income is in higher-paid, AI-exposed work.
Resilience Factors: 70/100
Local economic buffers such as savings, benefits, and job diversity that can absorb an income shock.
Housing Leverage: 16/100
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 occupation proxy · Proxy · State · vintage 2020-2024 ACS 5-year. Occupation exposure is inferred from sector and education signals, not direct OEWS occupation employment.
Income Concentration: US Census Bureau — ACS 5-year
ACS state indicators · Official statistics · State · vintage 2020-2024 ACS 5-year. Official survey data; state-level values can hide MSA-level concentration.
Housing Leverage: Zillow Research + FHFA + BLS LAUS + ProofIndex model
Derived US housing and vacancy pressure · Derived · State · vintage ACS 2020-2024; FHFA/Zillow/BLS through 2026. Home values and HPI momentum are market/official series; rental vacancy pressure is derived from LAUS unemployment and FHFA price momentum, not direct rental vacancy microdata.
Rental Market Exposure: Zillow Research + FHFA + BLS LAUS + ProofIndex model
Derived US housing and vacancy pressure · Derived · State · vintage ACS 2020-2024; FHFA/Zillow/BLS through 2026. Home values and HPI momentum are market/official series; rental vacancy pressure is derived from LAUS unemployment and FHFA price momentum, not direct rental vacancy microdata.
Resilience Factors: US Department of Labor ETA
US safety-net parameters · Official statistics · State · vintage 2026. Statutory and public program parameters; savings and absorption are still proxy estimates.

Frequently asked questions

Is District of Columbia 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, District of Columbia ranks among the more exposed United States markets. It scores 68/100 (High Risk) overall, and 100/100 on employment vulnerability, which measures how much local work overlaps with tasks AI can already do.

How exposed is the District of Columbia housing market to AI automation?

District of Columbia scores 68/100 (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 employment vulnerability at 100/100. This measures how exposed local jobs are to AI automation, based on the area’s occupation mix. Housing leverage scores 16/100, based on loan-to-value, debt-to-income, and price-to-income among local borrowers. Local resilience scores 70/100. Savings, benefits, and job diversity reduce the final score. Scores are normalized 0–100 within United States, so this compares District of Columbia with other United States markets. It cannot be compared directly with markets abroad.

Why is District of Columbia rated High Risk?

High Risk is the risk tier ProofIndex assigns to a composite score of 68/100. The composite weights employment vulnerability at 35%, income concentration at 25%, housing leverage at 25%, and subtracts local resilience at 15%. For District of Columbia the risk pillars rank employment vulnerability 100/100, income concentration 99/100, housing leverage 16/100. Confidence in the underlying data for this area is medium.

See the full District of Columbia report

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

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