AI Income Risk · Real Estate
District of Columbia
ProofIndex score 70/100 (High Risk) · medium confidence
ProofIndex score: 70/100 — High Risk risk.
Scoring period 2026-Q2 · medium confidence in the underlying data
District of Columbia (United States) ranks among the higher-risk markets ProofIndex tracks, with a ProofIndex score of 70/100 (High Risk). The biggest contributor is employment vulnerability — 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 cushioning — savings, benefits, and job diversity that absorb an income shock.
- Housing Leverage — 23/100
- 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 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
- Zillow home value index · Market data · State · vintage May 2026 file release. Market data series; rental and mortgage stress inputs may be derived from home-value and income relationships.
- Rental Market Exposure — Zillow Research
- Zillow home value index · Market data · State · vintage May 2026 file release. Market data series; rental and mortgage stress inputs may be derived from home-value and income relationships.
- 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?
Relative to other United States markets, yes — District of Columbia ranks among the higher-risk markets ProofIndex tracks. It scores 70/100 (High Risk) overall, and 100/100 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 District of Columbia housing market to AI automation?
District of Columbia scores 70/100 (High 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 employment vulnerability at 100/100 — 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 23/100. Local resilience — savings, benefits, and job diversity that absorb an income shock — scores 70/100 and pulls the composite down. Scores are normalized 0–100 within United States, so this ranks District of Columbia against other United States markets rather than against markets abroad.
Why is District of Columbia rated High Risk?
High Risk is the risk tier ProofIndex assigns to a composite score of 70/100. 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 23/100. 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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Other United States markets
- Corvallis, OR — 88/100
- San Jose-Sunnyvale-Santa Clara, CA — 87/100
- Bridgeport-Stamford-Danbury, CT — 87/100
- Santa Fe, NM — 86/100
- Bozeman, MT — 86/100
- San Francisco-Oakland-Fremont, CA — 85/100