US Household Debt to GDP: Quarterly Ratio from Fed Z.1 Household Debt and Nominal GDP Since 1947

US household debt to GDP, quarterly since 1947: an Eco3min composite dividing Fed Z.1 household debt (CMDEBT) by nominal GDP. Peak 98% in 2008, 65.8% in Q2 2026.

The US household debt to GDP ratio published here is an Eco3min composite: total household debt from the Federal Reserve’s Z.1 Financial Accounts (households and nonprofit organizations, debt securities and loans, FRED series CMDEBT) divided by nominal GDP (FRED series GDP), quarterly from the fourth quarter of 1947, 303 observations. The household debt to GDP ratio is the standard measure of consumer balance-sheet leverage: it peaked at 98.0% in the first quarter of 2008, fell for eleven years, and stood at 65.8% in the second quarter of 2026, its lowest reading since 1998.

Dataset: US Household Debt to GDP (1947–2026) · Updated 2026-04-01

Latest Value
65.65%
Apr 1, 2026
Historical Percentile
63th
Above average
Historical Average
58.05%
303 observations
Historical Range
HIGH
98.00%
Jan 1, 2008
LOW
17.29%
Oct 1, 1947

Data provided as is, with no warranty of accuracy or timeliness. Check any figure against the primary source cited on this page before using it. Terms: legal notice.

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Source: Federal Reserve Z.1 (CMDEBT) and BEA (GDP) via FRED · Eco3min calculation


Macro Takeaway

Household debt to GDP is a stock measure of leverage: how many quarters of national output the consumer sector would need to repay what it owes. It moves slowly, because both the numerator (mortgages, consumer credit, student and auto loans) and the denominator (nominal GDP) are large and sticky, and that slowness is what makes it a regime variable rather than a cyclical one. Its interaction with the rate regime is the key: the same 70% ratio costs households far more to service at a 7% mortgage rate than at 3%, which is why the ratio is read alongside bank lending standards, mortgage delinquencies and the Chicago Fed financial conditions index rather than on its own.

The 2008 peak remains the reference point. The ratio rose from 68.4% in early 2000 to 98.0% in the first quarter of 2008, a thirty-point climb in eight years driven by mortgage origination and home-equity extraction, then fell back to 72.5% by the end of 2019 as foreclosures, write-downs and slow origination shrank the stock while nominal GDP kept growing. No other postwar episode shows a swing of that size in either direction.

The post-pandemic record is a denominator story. The ratio jumped to 80.1% in the second quarter of 2020 because GDP collapsed, not because households borrowed; it then declined for six years as nominal GDP grew faster than household debt, reaching 65.8% in the second quarter of 2026 with $21.4 trillion of debt against $32.5 trillion of GDP. Aggregate leverage is at its lowest since 1998 even as the cost of new credit rose sharply between 2022 and 2024 — a configuration in which the stock looks contained while flow stress on new borrowers is elevated.


Construction & Components

The composite divides the total debt of the US household sector by the size of the economy, so that borrowing is read relative to the income base that ultimately services it rather than in dollars.

Formula:

Household Debt / GDP (%) = CMDEBT ($ millions) / GDP ($ billions) × 0.1

Components:

  • Household and nonprofit debt (CMDEBT): Federal Reserve Z.1 Financial Accounts, “Households and Nonprofit Organizations; Debt Securities and Loans; Liability, Level”, quarterly, not seasonally adjusted, in millions of dollars. Covers home mortgages, consumer credit, and the smaller loan categories reported by the Fed. Numerator.
  • Nominal GDP (GDP): Bureau of Economic Analysis, gross domestic product at current prices, quarterly, seasonally adjusted annual rate, in billions of dollars. Denominator.

Frequency reconciliation: both components are quarterly and dated to the first day of the quarter; no interpolation is applied. The 0.1 factor converts millions over billions into a percentage.

Coverage: fourth quarter of 1947 to the latest quarter published in the Z.1. The start is set by nominal GDP, available on FRED from 1947; CMDEBT itself begins in 1945.


Dataset Overview

IndicatorUS Household Debt to GDP (1947–2026)
GeographyUnited States
FrequencyQuarterly
PeriodQ4 1947 – Q2 2026
Variablesdate, household_debt, gdp, household_debt_gdp
FormatCSV, Excel (XLSX), JSON
SourcesFederal Reserve Z.1 (CMDEBT) and BEA (GDP), both retrieved via FRED · Eco3min calculation
Last updated2026-04-01

Dataset Variables

The CSV, Excel and JSON files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)First day of the reference quarter
household_debtFloatHousehold and nonprofit organizations debt, level, millions of dollars (Fed Z.1, CMDEBT)
gdpFloatNominal GDP, seasonally adjusted annual rate, billions of dollars (BEA, GDP)
household_debt_gdpFloatHousehold debt as a percentage of nominal GDP (Eco3min calculation)

Column names match the CSV headers exactly.


Download the Complete Dataset

The full household debt to GDP dataset is available in CSV and Excel formats.

Data provided as is, with no warranty of accuracy or timeliness. Check any figure against the primary source cited on this page before using it. Terms: legal notice.

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Source FRED Series Used for This Composite

Both components are public series on FRED and can be pulled directly:

https://fred.stlouisfed.org/graph/fredgraph.csv?id=CMDEBT
https://fred.stlouisfed.org/graph/fredgraph.csv?id=GDP

Direct CSV Access: Eco3min Structured Dataset

https://eco3min.fr/dataset/household-debt-gdp.csv

This URL returns the complete dataset, components and ratio, in CSV format. It can be used directly in pandas, R, curl, or any data tool. JSON and XLSX are available at the same path with the corresponding extension.


Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/household-debt-gdp.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(df.tail())
print(df["household_debt_gdp"].describe())

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/household-debt-gdp.csv"
df <- read_csv(url)

tail(df)
summary(df$household_debt_gdp)

Both examples load the dataset directly from the URL, no download or API key required.


Methodology

An Eco3min pipeline pulls the two component series from the FRED API on each run, aligns them on the quarter, computes the ratio according to the formula above and rebuilds the CSV, Excel and JSON files in full rather than appending. Revisions to either component (the Fed’s annual Z.1 benchmark each year, the BEA’s annual and comprehensive GDP revisions) therefore propagate through the whole history automatically.

Until September 2026 this dataset carried the IMF series HDTGPDUSQ163N (Financial Soundness Indicators) redistributed by FRED. That series stopped updating after the second quarter of 2025 and was replaced by the direct Z.1 calculation, which is published about ten weeks after the end of the quarter instead of six months. The two measures are close but not identical: the BIS version harmonises the definition of household credit for cross-country comparison and read 68.5% in the second quarter of 2025 against 67.5% here. Users splicing the two should treat the join as a definitional break of roughly one point.


Data Quality & Provider Notes

Latency. The ratio cannot be fresher than the slower component. Nominal GDP arrives first (advance estimate about four weeks after the quarter); the Z.1 release follows about ten weeks after the quarter, and the ratio is complete only then. The most recent quarter therefore appears roughly two and a half months after it ends.

Revisions. Nominal GDP is revised twice in the two months after its advance estimate and again each year; the Z.1 is benchmarked annually. Each revision changes the ratio for the affected quarters, and because the file is rebuilt in full, the historical values in this dataset shift with them. Readings quoted on this page are those of the September 2026 vintage.

Seasonality. CMDEBT is not seasonally adjusted while GDP is, at an annual rate. The mismatch is standard for debt-to-GDP ratios (the BIS and IMF series are built the same way) and is negligible at the level of a stock variable, but quarter-to-quarter changes of a few tenths of a point should not be over-read.

Alternative sources. The BIS total credit statistics publish a harmonised household credit-to-GDP series for the United States with a longer lag; the IMF Global Debt Database publishes an annual equivalent. The New York Fed’s Quarterly Report on Household Debt and Credit gives a different, survey-based dollar total (Consumer Credit Panel) that is not directly comparable with the Z.1 level.


What This Ratio Captures (And What It Doesn’t)

Household debt to GDP is a structural leverage gauge. It describes the size of the consumer balance sheet relative to the economy; it says nothing by itself about who owes the debt or what it costs to carry.

What it captures:

  • The long credit cycle of the household sector: the multi-decade build-up to 2008 and the deleveraging that followed are visible at a glance.
  • Denominator shocks: a collapse in nominal GDP (2020) or a burst of nominal growth (2021–2023) moves the ratio even when borrowing is flat.
  • The comparability of leverage across time in a way dollar totals cannot provide: $21.4 trillion in 2026 is a lower burden relative to output than $14.4 trillion was in 2008.

What it does NOT capture (common misinterpretations):

  • The cost of servicing the debt. The ratio is a stock; the debt service ratio (FRED series TDSP) is the flow of payments as a share of disposable income. Between 2022 and 2024 the stock ratio fell while the cost of new mortgages and auto loans roughly doubled, so the two measures pointed in opposite directions.
  • The composition of the debt. Mortgage debt dominated the 2008 peak; since then student loans, auto loans and credit cards have grown as a share of the total. Two identical ratios can hide very different default-risk profiles.
  • The distribution of the debt. A system-wide ratio of 66% is consistent with either broad-based moderate borrowing or leverage concentrated in lower-income deciles. Consumer loan delinquency rates and credit card delinquencies are the series that reveal concentration.
  • A “safe” level. The ratio has no threshold that has historically separated stable from unstable episodes: it was 60% in 1990 and 80% in 2003, and neither reading predicted the timing of the next recession. It is most useful as a regime descriptor, not as a trigger.

Historical Regimes

The dating below reflects inflection points in the ratio itself and is descriptive only.

  • 1947–1965: Postwar build-up. From 17.3% at the end of 1947 to 45.1% at the start of 1965: the GI Bill mortgage boom, suburbanisation and the arrival of instalment consumer credit raised household leverage steadily against a fast-growing income base.
  • 1965–1985: The inflation plateau. Two decades between 42% and 52%. Nominal GDP inflated as fast as debt through the 1970s, and real mortgage rates above 5% after 1981 kept the ratio near 46–50% through the Volcker disinflation.
  • 1985–2000: First leveraging wave. The ratio climbed from 49.1% to 68.4% as disinflation lowered rates, mortgage securitisation widened access to credit and the late-1990s cash-out refinancing cycle began.
  • 2000–2008: The subprime peak. Thirty points in eight years, to 98.0% in the first quarter of 2008 — the series high. Subprime origination, home-equity lines and rapid house-price appreciation inflated the numerator; the peak coincided with the widest high yield credit spreads of the postwar period.
  • 2008–2019, Deleveraging. Eleven consecutive annual declines, from 98.0% at the start of 2008 to 72.5% at the end of 2019. Foreclosures and write-downs cut the mortgage stock, origination stayed slow, and nominal GDP kept growing; consumer credit rose but could not offset mortgage attrition.
  • 2020–2026: Denominator whiplash, then a new low. The ratio spiked to 80.1% in the second quarter of 2020 on the GDP collapse and then fell every year as nominal growth outpaced borrowing, to 65.8% in the second quarter of 2026 — the lowest reading since 1998, reached with tighter lending standards and higher borrowing costs than at any point in the previous decade.

Related Macroeconomic Datasets

The household debt to GDP ratio is one half of private-sector leverage. The datasets below add the corporate half, the cost and availability of credit, and the stress indicators that the aggregate ratio cannot show.

Related Research


Macroeconomic Dataset Hub

This dataset is part of the Eco3min macro-financial data repository.

Explore the Eco3min Dataset Hub


Sources

  • Board of Governors of the Federal Reserve System — Financial Accounts of the United States (Z.1), Households and Nonprofit Organizations; Debt Securities and Loans; Liability, Level — FRED series CMDEBT
  • US Bureau of Economic Analysis (Gross Domestic Product, current dollars, seasonally adjusted annual rate) FRED series GDP
  • Federal Reserve Bank of St. Louis — FRED, redistributor of both series
  • Eco3min Research: ratio calculation and structured dataset compilation

Dataset Reference

Last updated — 15 October 2026

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