ISM Manufacturing PMI — Daily CSV Download (US Manufacturing Survey)
The ISM Manufacturing Purchasing Managers’ Index is the most-followed survey of US manufacturing activity. Readings above 50 signal expansion; below 50 signal contraction. The PMI has led GDP turning points by 1–3 months, making it one of the most reliable high-frequency economic indicators. Published on the first business day of each month with minimal revision.
Dataset: ISM Manufacturing PMI (1948–2026) · Updated —
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Source: FRED series MANEMP · Institute for Supply Management (ISM) 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 US industrial production and the US GDP growth helps situate this indicator within the broader macro regime.
Dataset Overview
| Indicator | ISM Manufacturing PMI (1948–2026) |
|---|---|
| Geography | United States |
| Frequency | Monthly |
| Period | 1948–2026 |
| Variables | date, ism_pmi |
| Format | CSV, Excel (XLSX) |
| Sources | Institute for Supply Management (ISM) via FRED |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | Observation date |
ism_pmi | Float | ISM Manufacturing PMI index value |
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 MANEMP:
https://fred.stlouisfed.org/graph/fredgraph.csv?id=MANEMP
Direct CSV Access — Eco3min Structured Dataset
https://eco3min.fr/dataset/ism-manufacturing-pmi.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/ism-manufacturing-pmi.csv" df = pd.read_csv(url, parse_dates=["date"]) print(df.head()) print(df["ism_pmi"].describe())
Using the Dataset in R
library(readr) url <- "https://eco3min.fr/dataset/ism-manufacturing-pmi.csv" df <- read_csv(url) head(df) summary(df$ism_pmi)
Both examples load the dataset directly from the URL — no download or API key required.
Methodology
The ISM PMI is a diffusion index based on surveys of purchasing managers at ~400 manufacturing firms. It covers five components: new orders, production, employment, supplier deliveries, and inventories. Published without revision.
This dataset is updated monthly (1st business day) 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 PMI is a coincident-to-leading indicator of manufacturing activity. Cross-referencing with copper prices, industrial production, and credit spreads provides a multi-signal confirmation framework for cycle turning points.
- US Industrial Production — Hard output data that PMI surveys anticipate
- US GDP Growth Rate — PMI leads GDP turning points by 1–3 months
- Copper Price History — “Dr. Copper” — commodity confirmation of PMI moves
- Nonfarm Payrolls — Employment data that follows manufacturing activity
- US Producer Price Index — Input prices that feed into PMI price component
Related Research
PMI contractions below 50 have historically coincided with — or slightly preceded — yield curve inversions and credit spread widening, placing manufacturing surveys at the intersection of real and financial cycle analysis.
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Dataset Hub
Sources
- Institute for Supply Management (ISM) via FRED