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 data confidence
District of Columbia (United States) ranks among the higher-risk markets covered by ProofIndex, with a ProofIndex score of 70/100 (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 — 23/100
- 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
- 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?
Yes. District of Columbia ranks among the higher-risk United States markets covered by ProofIndex. It scores 70/100 (High Risk) overall, and 100/100 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 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 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 23/100, 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 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