FRED PPIACO — Daily CSV Download (US Producer Price Index

The Producer Price Index measures prices at the wholesale/producer level — before they reach consumers. PPI leads CPI by 1–3 months, making it a pipeline inflation indicator. How pipeline pressures translate into headline inflation is mapped in the complete guide to inflation. The PPI captures commodity input costs, supply chain pressures, and corporate margin dynamics that eventually flow through to consumer prices.

Dataset: US Producer Price Index — PPI (1913–2026) · Updated —

Latest Value
274.10%
Mar 1, 2026
Historical Percentile
99.9th
Historically high
Historical Average
80.10%
1,359 observations
Historical Range
HIGH
280.25%
Jun 1, 2022
LOW
10.30%
Feb 1, 1933

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Source: FRED series PPIACO · Bureau of Labor Statistics (BLS) 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 CPI inflation and the Core PCE inflation helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorUS Producer Price Index — PPI (1913–2026)
GeographyUnited States
FrequencyMonthly
Period1913–2026
Variablesdate, ppi_index, ppi_yoy
FormatCSV, Excel (XLSX)
SourcesBureau of Labor Statistics (BLS) via FRED
Last updated

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
ppi_indexFloatPPI All Commodities index level
ppi_yoyFloatPPI year-over-year change (%)

Column names match the CSV headers exactly.


Download the Complete Dataset

The full dataset is available in CSV and Excel formats.

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FRED Direct CSV Access

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

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

Direct CSV Access — Eco3min Structured Dataset

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

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

Using the Dataset in R

library(readr)

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

head(df)
summary(df$ppi_index)

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


Methodology

FRED series PPIACO — Producer Price Index for All Commodities. One of the oldest continuous US economic series (since 1913). Covers raw materials, intermediate goods, and finished goods at the producer level.

This dataset is updated monthly (~2 weeks 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

PPI is the upstream signal in the inflation pipeline: commodity prices → producer prices → consumer prices. Divergences between PPI and CPI reveal whether margin compression or expansion is occurring at the corporate level.

Related Research

PPI spikes have historically coincided with commodity-driven inflation episodes — and real rate regime transitions. The 110+ year history spans every major inflation era.


Macroeconomic Dataset Hub

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

Explore the Eco3min Dataset Hub


Sources

  • Bureau of Labor Statistics (BLS) via FRED

Dataset Reference

Last updated — 9 May 2026

Disclaimer – Financial Information: The analyses, commentary, and content published on eco3min.fr are provided for informational and educational purposes only. They do not constitute investment advice or a solicitation to buy or sell financial instruments. Past performance is not indicative of future results. All investment decisions involve risk and are the sole responsibility of the reader.