FRED INDPRO — Daily CSV Download (US Industrial Production Index)

The Federal Reserve’s Industrial Production Index measures real output from manufacturing, mining, and utilities — the physical economy. With 100+ years of monthly data, it provides the longest continuous measure of US economic activity. Industrial production peaks and troughs have aligned closely with NBER recession dating throughout the post-war era.

Dataset: US Industrial Production Index (1919–2026) · Updated —



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Source: FRED series INDPRO · Federal Reserve — Industrial Production and Capacity Utilization (FRED: INDPRO)


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 ISM Manufacturing PMI and the GDP growth helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorUS Industrial Production Index (1919–2026)
GeographyUnited States
FrequencyMonthly
Period1919–2026
Variablesdate, indpro_index, indpro_yoy
FormatCSV, Excel (XLSX)
SourcesFederal Reserve — Industrial Production and Capacity Utilization (FRED: INDPRO)
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
indpro_indexFloatIndustrial Production Index level (2017=100)
indpro_yoyFloatYear-over-year change (%)

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 INDPRO:

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

Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/us-industrial-production.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/us-industrial-production.csv"
df = pd.read_csv(url, parse_dates=["date"])

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

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/us-industrial-production.csv"
df <- read_csv(url)

head(df)
summary(df$indpro_index)

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


Methodology

FRED series INDPRO. The index covers manufacturing (73% weight), mining (16%), and electric/gas utilities (11%). Seasonally adjusted, base 2017=100.

This dataset is updated monthly (~15 days after reference month) 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

Industrial production is a coincident indicator — it moves in real time with the business cycle. Cross-referencing with leading indicators (PMI, yield curve, credit spreads) reveals whether the current IP trend is about to reverse.

Related Research

IP contractions have accompanied every recession — and many were foreshadowed by yield curve inversions. The 100+ year history provides the deepest available dataset for cycle analysis.


Macroeconomic Dataset Hub

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

Explore the Eco3min Dataset Hub


Sources

  • Federal Reserve — Industrial Production and Capacity Utilization (FRED: INDPRO)

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