M2 to GDP Ratio: US Money Supply as Share of GDP Quarterly Since 1959

The M2 to GDP Ratio (sometimes called the “monetization ratio” or, in academic literature, the inverse of money velocity) is an Eco3min quarterly composite that measures how much broad money is circulating relative to the size of the economy. It is calculated as M2 money supply (FRED: M2SL) divided by nominal GDP (FRED: GDP), available since Q1 1959. The M2 to GDP Ratio jumped from 70% at the end of 2019 to a peak of 91% in Q2 2020, the largest rise in the series since 1959, and has since fallen back to about 71%, close to its pre-pandemic level, as nominal GDP outpaced money creation.

Dataset: M2 to GDP Ratio (1959–2026) · Updated 2026-07-01

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.

Source: Federal Reserve M2 (M2SL) & BEA nominal GDP (GDP) via FRED · Eco3min composite

Macro Takeaway

Construction & Components

This composite divides a monthly money-stock series by a quarterly nominal income series. The standard convention is to express both in the same units (US dollars) and align them at quarterly frequency, producing a level ratio (0.71 means the M2 stock equals 71% of annual GDP). The Eco3min composite uses the simplest, most reproducible construction: quarter-end M2 over quarterly nominal GDP.

Formula:

M2 to GDP ratio = M2SL_quarter_end / GDP

Components:

• M2 Money Supply, Seasonally Adjusted (FRED: M2SL), monthly, Federal Reserve H.6 statistical release (fourth Tuesday of each month). Includes currency in circulation, demand deposits, savings deposits, small-denomination time deposits, and retail money market fund balances. The numerator of the ratio.
• US Nominal Gross Domestic Product (FRED: GDP), quarterly, Bureau of Economic Analysis (advance, second, third estimates). Annualized seasonally adjusted nominal dollars. The denominator of the ratio.

Frequency reconciliation: M2SL is monthly; nominal GDP is quarterly. The composite takes the last monthly M2 observation of each calendar quarter and divides it by the BEA quarterly nominal GDP figure for the same quarter. The annualized convention of GDP is preserved (GDP is an annualized flow; M2 is a point-in-time stock: the ratio is a stock-to-annualized-flow comparison, the academic standard).

Coverage: 1959 Q1 to present. Constrained by the start of M2SL on FRED in January 1959. Nominal GDP is available earlier but the M2 series defines the start date of this composite.

Dataset Overview

Dataset Variables

The CSV and Excel files contain the following columns.

Column names match the CSV headers exactly.

Download the Complete Dataset

The full 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.

Source FRED Series Used for This Composite

This Eco3min composite is built from two underlying FRED series:

• M2SL: M2 Money Supply, Seasonally Adjusted:

  https://fred.stlouisfed.org/graph/fredgraph.csv?id=M2SL

• GDP: US Nominal Gross Domestic Product:

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

Eco3min handles the monthly-to-quarterly alignment and the ratio computation, then publishes the aligned series below.

Direct CSV Access: Eco3min Composite

https://eco3min.fr/dataset/m2-gdp-ratio.csv

This URL returns the pre-computed composite in CSV format. Use directly in pandas, R, curl, or any data tool, no need to align M2SL and GDP frequencies manually.

Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/m2-gdp-ratio.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(df.head())
print(df["m2_gdp_ratio"].describe())

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/m2-gdp-ratio.csv"
df <- read_csv(url)

head(df)
summary(df$m2_gdp_ratio)

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

Methodology

The M2 to GDP Ratio is recomputed by an Eco3min pipeline that pulls M2SL monthly from the Federal Reserve H.6 release via FRED and pulls quarterly nominal GDP from the BEA release via FRED. Within each calendar quarter, the last monthly M2SL observation gives the quarterly stock figure, which is then divided by the corresponding quarterly nominal GDP. The pipeline runs after each new BEA GDP release and on the day following each H.6 release to refresh the current-quarter projection with the latest M2 observation.

The file carries the numerator (m2) and the denominator (gdp) of each quarter next to the ratio. The source series are at the FRED links above, and the M2 dataset gives the monthly money stock.

Data Quality & Provider Notes

Latency is governed by the BEA GDP release, not by M2SL. M2 is published monthly with a roughly 3-week lag; nominal GDP advance estimate is released 30 days after quarter-end and revised twice over the following 60 days. The composite’s effective latency is the GDP advance release.

Two definitional notes matter for the historical series. First, the Federal Reserve restated M2 in May 2020 to include savings deposits previously classified in M1; this discontinuity affects the 2020 reading. Eco3min uses the post-restatement definition throughout. Second, annual benchmark revisions to nominal GDP (typically released in July) propagate to the entire historical ratio: Eco3min republishes the full composite when this occurs.

No widely-published alternative to this specific ratio exists. FRED does not publish the ratio as a single series; Bloomberg and Refinitiv compute equivalent series under proprietary tickers. The Eco3min composite fills this gap with full source transparency.

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

The M2 to GDP Ratio is the simplest monetarist diagnostic, and one of the most misused. The Quantity Theory of Money, in its strong form, implies that money growing faster than output produces inflation. The historical record is far more complicated than that. Beyond output, the same aggregate can be measured against equity values, which is what the ratio of US corporate equities to M2 does quarter by quarter since 1959.

What it captures:

• The “monetization” of the US economy: dollars of broad money per dollar of annual output
• Whether money creation is outpacing real activity (often inflationary if velocity is stable) or lagging it
• The structural break introduced by the 2020 pandemic monetary response, comparable in magnitude only to the WWII financing episode

What it does NOT capture (common misinterpretations):

• Money velocity. The same M2/GDP ratio can produce very different inflation outcomes depending on how often each dollar changes hands. Velocity has been declining structurally since the late 1990s, then collapsed in 2020. The 2008–2019 rise in M2/GDP coexisted with subdued inflation precisely because velocity offset money growth. The ratio alone tells you nothing about velocity.
• The composition of M2. Currency, demand deposits, savings deposits, and retail money market funds have very different transaction turnover. M2 treats them all equally, even though a dollar in a savings deposit functions differently from a dollar in a checking account.
• Real money balances. The ratio is in nominal terms. The real-money-balance approach (M2 deflated by CPI, divided by real GDP) tells a partially different story, particularly during high-inflation periods when nominal M2 grows mechanically.
• Friedman’s k-percent rule. The ratio does not capture the growth rate of M2 relative to GDP growth, which is what most operational monetary theories link to inflation. The level ratio is a stock-stock comparison; the growth differential is a flow-flow comparison. They can move in opposite directions.

Use this composite as a structural-regime indicator and a complement to absolute M2 and M2 YoY growth. To translate the ratio into an inflation forecast, you need an explicit view on velocity, which is itself the most volatile component of monetary economics.

Historical Regimes

The M2 to GDP Ratio traces the evolution of US monetary conditions across six decades and three distinct monetary regimes.

• 1959–1980 (Pre-disinflation). Range-bound between ~54% and ~61% of GDP (57% in 1959, 54% at the end of 1980). Stable monetization during Bretton Woods and the early stagflation era. Most demand for money was transactional, kept in M1 components.
• 1980–2000 (Volcker disinflation + financial innovation). After a high near 59% in 1986, a decline to the series low of ~46% in 1997 as money market funds, deregulation, and bank disintermediation reduced household demand for M2 deposits. The M2 to GDP Ratio fell despite continued M2 nominal growth because GDP grew faster.
• 2000–2007 (Bubble-era expansion). Climb back toward 50% of GDP as low policy rates pushed savings into M2 components and away from money funds.
• 2008–2019 (Post-GFC plateau). Rise from ~52% in 2008 to ~70% at the end of 2019 as QE expanded bank reserves, banks deleveraged (limiting credit creation), and households accumulated precautionary balances. Critically, the M2 to GDP Ratio rose while CPI inflation remained near or below 2%: money velocity collapsed simultaneously, breaking the simple monetarist link. Cross-reference with the Fed Balance Sheet to GDP Ratio shows the simultaneous central bank expansion.
• 2020 Q2 (Pandemic monetary surge). Vertical jump from 70% (end of 2019) to 91% of GDP as fiscal transfers and Fed QE expanded M2 by about $2.8 trillion in six months while nominal GDP fell 9%. The largest quarterly increase since the series begins in 1959.
• 2021–2022 (Sustained elevation + inflation). Plateaued near 86-88% from Q3 2020 to Q1 2022, then turned down in 2022, the year CPI inflation peaked at 9.1% (June). Cross-reference with CPI inflation shows the timing relationship.
• 2022–present (Normalization). Falling back to about 71% by 2025-2026, close to its end-2019 level, as nominal GDP grew, M2 contracted in nominal terms in 2022-2023 (the first nominal decline since the 1930s), then resumed slow growth. The pace of normalization remains slower than the 2020 surge.

Related Macroeconomic Datasets

The M2 to GDP Ratio is one expression of monetary conditions; it must be read alongside its underlying M2 series, M2 growth rates, the parallel Fed balance sheet ratios, and the liquidity sinks that affect transmission. The natural companions are listed below.

Macroeconomic Dataset Hub

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

Explore the Eco3min Dataset Hub

Sources

• Federal Reserve Board of Governors: M2 Money Supply Seasonally Adjusted (M2SL), H.6 release, via FRED
• US Bureau of Economic Analysis: Nominal Gross Domestic Product (GDP), via FRED
• Eco3min Research: quarter-end alignment of M2SL and ratio computation

Dataset Reference

Eco3min Research. (2026). M2 to GDP Ratio (1959–2026): Eco3min composite of M2SL and nominal GDP.<br> https://eco3min.fr/en/m2-gdp-ratio-dataset/