US Real Mortgage Rate — Daily CSV Download (Inflation-Adjusted Mortgage Rate)

The real 30-year mortgage rate — nominal rate minus CPI inflation — is the true cost of housing credit. When negative (as in 2021–2022), homebuyers are effectively being paid to borrow, fueling demand and price appreciation. When sharply positive (as in 2023–2024), housing demand contracts. This metric, not the nominal rate, determines affordability over the life of a mortgage.

Dataset: US Real Mortgage Rate (1971–2026) · Updated —



Loading FRED data…

Source: FRED series MORTGAGE30US · Freddie Mac (MORTGAGE30US) & 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 mortgage rate and the real housing prices helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorUS Real Mortgage Rate (1971–2026)
GeographyUnited States
FrequencyMonthly
Period1971–2026
Variablesdate, mortgage_30y, cpi_yoy, real_mortgage_rate
FormatCSV, Excel (XLSX)
SourcesFreddie Mac (MORTGAGE30US) & BLS (CPIAUCSL) via FRED
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
mortgage_30yFloat30-year fixed mortgage rate (%)
cpi_yoyFloatCPI year-over-year inflation (%)
real_mortgage_rateFloatReal mortgage rate: MORTGAGE30US 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 MORTGAGE30US:

https://fred.stlouisfed.org/graph/fredgraph.csv?id=MORTGAGE30US

Direct CSV Access — Eco3min Structured Dataset

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

print(df.head())
print(df["mortgage_30y"].describe())

Using the Dataset in R

library(readr)

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

head(df)
summary(df$mortgage_30y)

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


Methodology

30-year fixed mortgage rate (FRED: MORTGAGE30US) minus CPI YoY inflation (FRED: CPIAUCSL). Ex-post real rate using realized inflation.

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 mortgage rate is the most consequential rate for American households. It determines whether a 30-year mortgage erodes purchasing power (negative real rate) or preserves it (positive real rate). The regime shift from −4% in 2022 to +4% in 2023 was one of the largest in history.

Related Research

Real mortgage rates connect the macro real rate regime to household balance sheets. When the real rate regime shifts, housing is typically the first asset class to respond.


Macroeconomic Dataset Hub

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

Explore the Eco3min Dataset Hub


Sources

  • Freddie Mac (MORTGAGE30US) & BLS (CPIAUCSL) via FRED

Suggested Citation