Real Federal Funds Rate — Daily CSV Download (Monetary Policy Stance)

The real Federal Funds rate — the overnight interbank rate minus CPI inflation — is the most direct measure of whether monetary policy is truly restrictive or accommodative. Negative real rates mean the Fed is subsidizing borrowing; positive real rates mean it is genuinely tightening. The real Fed Funds rate was deeply negative (−8%) in 2022 even at 0% nominal — because inflation was 9%. It turned positive only in late 2023.

Dataset: Real Federal Funds Rate (1954–2026) · Updated —



Loading FRED data…

Source: FRED series FEDFUNDS · Federal Reserve (FEDFUNDS) & BLS (CPIAUCSL) via FRED


Macro Takeaway

This indicator is a key component of the macro-financial monitoring framework. Its current level relative to its historical distribution — captured in the percentile and z-score above — provides immediate context for whether conditions are historically normal, stretched, or compressed.

Cross-referencing with the nominal Fed Funds rate and the CPI inflation helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorReal Federal Funds Rate (1954–2026)
GeographyUnited States
FrequencyMonthly
Period1954–2026
Variablesdate, fed_funds, cpi_yoy, real_fed_funds
FormatCSV, Excel (XLSX)
SourcesFederal Reserve (FEDFUNDS) & BLS (CPIAUCSL) via FRED
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
fed_fundsFloatEffective Federal Funds rate (%)
cpi_yoyFloatCPI year-over-year inflation (%)
real_fed_fundsFloatReal Fed Funds rate: FEDFUNDS minus CPI YoY (%)

Column names match the CSV headers exactly.


Download the Complete Dataset

The full dataset is available in CSV and Excel formats.


FRED Direct CSV Access

The underlying data is available from FRED under series code FEDFUNDS:

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

Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/real-fed-funds-rate.csv

This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.


Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/real-fed-funds-rate.csv"
df = pd.read_csv(url, parse_dates=["date"])

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

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/real-fed-funds-rate.csv"
df <- read_csv(url)

head(df)
summary(df$fed_funds)

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


Methodology

Effective Federal Funds rate (FRED: FEDFUNDS) minus CPI YoY inflation (FRED: CPIAUCSL). This is the ex-post real policy rate — the most direct measure of how tight or loose the Fed actually is, as opposed to how tight it appears in nominal terms.

This dataset is updated monthly via automated pull from the FRED API.


Historical Regimes

Historical regime analysis for this dataset will be added in a future update. The key stats block above provides immediate context for the current reading relative to the full historical distribution.


Related Macroeconomic Datasets

The real Fed Funds rate is where the rubber meets the road for monetary policy. A 5% nominal rate with 5% inflation is neutral; with 2% inflation it is highly restrictive. This distinction explains why the same nominal rate can produce radically different economic outcomes.

Related Research

The real Fed Funds rate defines the policy regime. Combined with the real 10Y yield, it reveals whether the entire rate curve is restrictive or accommodative in inflation-adjusted terms.


Macroeconomic Dataset Hub

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

Explore the Eco3min Dataset Hub


Sources

  • Federal Reserve (FEDFUNDS) & BLS (CPIAUCSL) via FRED

Suggested Citation