How the American Distress Index Works

Components

The ADI draws on eight federal data series organized into five components. Each component captures a distinct dimension of household financial stress. The weights reflect the relative importance of each dimension, informed by principal component analysis across 42 indicators.

How the Score Is Calculated

Each component is measured against its 2015-2024 baseline average. A score of 50 means conditions match the baseline. Above 50 means conditions are worse than the recent historical average. Below 50 means conditions are better.

1. Establish a baseline. We use data from Q1 2015 through Q4 2024 — 10 years of recent economic history that includes expansion, pandemic, and recovery.
2. Normalize each indicator. Each data series is converted to a Z-score: how many standard deviations the current value is from the baseline average.
3. Combine into component scores. Within each component, sub-indicators are averaged equally (e.g., Buffer Depletion = 50% savings rate + 50% debt service ratio).
4. Weight the components. The five component Z-scores are combined using weights: 30% Buffer Depletion, 25% Debt Stress, 15% Financial Conditions, 15% Cost Pressure, 15% Labor Market.
5. Scale to 0-100. The composite Z-score is converted using: Score = 50 + (Z × 27), clipped to the range [0, 100].

Zone Thresholds

The ADI score maps to five zones, calibrated against 25 years of backtested data including the 2008-2009 financial crisis — the only period to reach Crisis in the full backtest.

Technical Details

Historical Validation

The ADI has been backtested to Q1 2005. During the 2008-2009 financial crisis, it entered Crisis territory, peaking at 81 in late 2009. During the COVID stimulus period (2020-2021), it dropped to Healthy as savings rates spiked and forbearance programs suppressed delinquency. These readings match the lived economic reality of those periods.

The backtest confirms that the methodology produces sensible readings across diverse economic conditions: pre-crisis buildup, acute financial crisis, slow recovery, expansion, pandemic shock, and post-pandemic normalization.

Leading Indicator Research

Beyond tracking current conditions, the ADI research pipeline systematically tests all pairwise indicator combinations for statistically validated leading relationships — cases where one indicator consistently precedes another by multiple quarters. These are documented as structural projections: historical patterns observed across multiple economic crises, not forecasts.

The distinction matters. When we say "Buffer Depletion has historically led Debt Stress by 9 quarters with r = 0.69," we are reporting an observed statistical regularity confirmed across the 2001 recession, the 2008 financial crisis, and COVID. We are not claiming it will happen again — only that it has, consistently, and that the current data shows similar early-stage signals.

Five-Stage Validation Pipeline

Every candidate pair must survive all five filters before being classified as "validated." This pipeline tested 57,547 raw pair-lag combinations and produced 6 fully validated relationships.

1. Cross-correlation on raw levels — Identify pairs where one indicator's past values correlate with another's future values, corrected for multiple testing using the Benjamini-Hochberg false discovery rate (FDR α = 0.05).
2. Cross-correlation on first-differenced series — Repeat on quarter-over-quarter changes. This eliminates spurious correlations driven by shared trends (e.g., two series that both trend upward over time).
3. Multi-crisis validation — The relationship must hold during at least two of three economic crises: the 2001 recession, the 2008 financial crisis (GFC), and COVID-19. A relationship that only works in calm periods is not useful.
4. Granger causality — The leader must statistically Granger-cause the follower (p < 0.05), meaning past values of the leader improve forecasts of the follower beyond what the follower's own history provides.
5. Out-of-sample validation — Calibrate on 2000–2012 data, validate on 2013–2025. The relationship must hold in data the model never saw during calibration (OOS r > 0.3).

Validated Leading Relationships

6 indicator pairs passed all five filters:

Additionally, the foundational Buffer Depletion → Debt Stress relationship (9-quarter lag, r = 0.69) was validated manually and underpins the ADI's component weighting. See full analysis. Active structural projections based on these relationships are tracked on the Structural Outlook page.

Data Sources and Update Schedule

All ADI data comes from public federal sources. No proprietary data, no paywalled sources, no models. Everything is independently verifiable.

Most components update quarterly with a 1-quarter lag. Initial claims updates weekly. The official ADI composite score is recomputed quarterly following the release of Federal Reserve call report data, typically 6-8 weeks after quarter-end. Each quarterly release is accompanied by a narrative update analyzing component movements.

Attribution requirement: FRED data use is subject to the Federal Reserve Bank of St. Louis Terms of Use. Full source attribution appears on every indicator detail page.

Variable Definitions

The American Distress Index tracks 96 economic indicators across nine categories. Each indicator is linked to its detail page with full time-series data, methodology notes, and downloadable datasets.

Backtest Results (2005–2025)

The ADI has been backtested to Q1 2005 using the same 2015–2024 baseline and Z-score methodology applied to current data. The table below shows the latest quarterly score for each year, along with component Z-scores. During the 2008–2009 financial crisis, the ADI entered Crisis territory — validating that the methodology captures genuine household distress. During 2020–2021, massive fiscal stimulus suppressed distress to Healthy levels, matching real conditions.

Full quarterly data (83 quarters) available via the ADI JSON API and as a CSV download.

How to Cite This Methodology

If you use the American Distress Index or its methodology in academic work, policy analysis, or journalism, please cite as follows.

APA Format

BibTeX

@techreport{adi_methodology_2026,
  title     = {American Distress Index: Methodology and Composite Scoring},
  author    = {Kilburn, Ross},
  year      = {2026},
  institution = {American Default},
  url       = {https://americandefault.org/methodology/},
  note      = {Five-component Z-score composite (Buffer Depletion 30\%,
               Debt Stress 25\%, Financial Conditions 15\%,
               Cost Pressure 15\%, Labor Market 15\%),
               baseline 2015--2024, backtested to 2005}
}

For individual indicator citations, use the citation tools on the press page or download .bib / .ris files from any indicator detail page. For a print-friendly summary of current ADI data, see the ADI one-pager.

Interactive Tools

Explore the methodology hands-on with the ADI What-If Calculator — adjust component Z-scores and watch the composite score recalculate in real time. Load historical scenarios from the GFC, COVID, and today. For state-level analysis, the Zip Code Stress Test shows your state's distress score and foreclosure protections.