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Manufacturing PMI

AustriaMonthlyPoints
SummaryAbout This IndicatorHistorical Data16
Latest release · September 28, 2026 · 08:00 UTC
54.9Points
Above forecast by 1.2
Last five prints
51.750.951.554.454.9

The reading has risen in each of the last 3 releases.

Forecast
53.7Actual is higher by 1.2
Previous
54.4

About This Indicator

Description

The Manufacturing Purchasing Managers' Index (PMI) is a leading indicator of economic health that measures the performance of the manufacturing sector. It is based on five major indicators: new orders, inventory levels, production, supplier deliveries, and the employment environment. A reading above 50 indicates expansion in the sector, while a reading below 50 represents a contraction. Investors closely watch this data as it often precedes shifts in the broader economy.

Methodology

The index is derived from monthly surveys of purchasing managers at private sector companies. It is calculated as a weighted average of five sub-indices: New Orders (30%), Output (25%), Employment (20%), Suppliers' Delivery Times (15%), and Stocks of Purchases (10%).

Historical Data

View data as table
DateActualForecastSurprise
Oct 28, 2026—54.00—
Sep 28, 202654.9053.70+1.20
Aug 27, 202654.4051.00+3.40
Jul 29, 202651.5050.50+1.00
Jun 26, 202650.9051.50-0.60
May 27, 202651.7050.70+1.00
Apr 28, 202651.2052.90-1.70
Mar 27, 202652.4050.90+1.50
Feb 25, 202649.4048.00+1.40
Jan 28, 202647.2049.50-2.30
Dec 29, 202549.3050.90-1.60
Nov 26, 202550.4049.50+0.90
Oct 29, 202548.8048.00+0.80
Sep 26, 202547.6049.50-1.90
Aug 27, 202549.1048.20+0.90
Jul 29, 202548.2047.50+0.70
Source · Institute for Supply ManagementView Source
Actual is higher by 0.5
Next release
Wednesday, October 28 · 09:00
11 daysRecorded forecast 54Preliminary forecast
September 28October 28

Statistics

16 readings
  • Mean50.7
  • Std Deviation2.39
  • TrendRising
  • Year-over-year change+5.80
  • Forecast Accuracy66.7%
Latest reading against its usual range (mean ± one standard deviation)
54.948.350.753.1

The latest reading is 1.8 standard deviations above the mean.