Fundamental analysis · Intermediate

Understanding the Purchasing Managers' Index

A manager whose orders rose 1% and one whose orders rose 40% both answer better, and the index counts them identically.

Last reviewed 15 September 2026 by the MarketPro research desk · Editorial policy

In short

A Purchasing Managers' Index surveys firms on whether conditions improved, stayed the same or worsened, then converts the answers into an index where 50 means no change. It is calculated as the percentage reporting improvement plus half the percentage reporting no change. Above 50 signals expansion and below 50 contraction, but it measures how many firms improved rather than by how much.

What to remember

PMI measures breadth, not magnitude. It can rise from 48 to 53 while total output falls, if many small firms improved and a few large ones collapsed.
A move from 44 to 48 is still contraction and is also the kind of improvement that reprices rate expectations.
Services is 70% or more of a developed economy. The manufacturing headline that gets quoted covers 10% to 20% of it.
The flash estimate, published around ten days early on about 85% of responses, is the release that moves markets.

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A Purchasing Managers' Index asks purchasing managers at a panel of firms whether output, new orders, employment, supplier delivery times and inventories are better, the same or worse than last month. Their answers are converted into an index where 50 means no change, above 50 means expansion, and below 50 means contraction.

How a 47.0 print is built, and what it leaves out

The arithmetic is simpler than most people assume. Take the percentage reporting improvement, add half the percentage reporting no change, and that is the index. If 30% say better, 34% say the same and 36% say worse:

30 + (34 / 2) = 47.0

That is the whole calculation. Now notice what it discards. A manager whose orders rose 1% and one whose orders rose 40% both answer "better" and count identically. A PMI of 52 tells you more firms improved than worsened. It says nothing whatsoever about by how much.

This is the property that catches people out. A reading can rise from 48 to 53 while total industrial output falls, if a large number of small firms improved slightly and a handful of very large ones deteriorated sharply. The index measures breadth, not magnitude, and treating it as a growth rate is the most common misuse of it.

The distance from 50, and the direction

Reading	Interpretation
Above 55	Broad-based expansion, most firms improving
50 to 55	Expansion, but narrow, and easily reversed
45 to 50	Contraction, mild by historical standards
Below 45	Broad contraction, historically associated with recessions

Direction matters as much as level. A move from 44 to 48 is still contraction, and it is also a substantial improvement that markets often reward, because rate expectations respond to the change in momentum rather than to the sign. A reading of 51 falling from 56 over four months is a deteriorating economy despite still printing above the expansion threshold.

There is a second reason the level alone can mislead. The neutral point is not always 50 in practice. Several national PMIs have historically sat above or below 50 on average over long periods because of how their panels are weighted, so a reading of 49 in one country can be consistent with growth while 51 in another is consistent with stagnation. Comparing a print against that country's own long-run average is more informative than comparing it against the theoretical threshold, and providers publish the historical series that lets you do it.

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Which index your market actually cares about

Manufacturing PMI is the one that gets quoted and, in most developed economies, the one that matters least. Manufacturing is typically 10% to 20% of output. Services is 70% or more. A weak manufacturing print alongside a strong services print describes an economy that is mostly fine, and the composite index, which weights the two, is the closer read on total activity.

Manufacturing is still watched for a reason: it is more cyclical and turns earlier, so it often leads the services number. It is a sensitive instrument pointed at a small part of the economy. Use it as a leading indicator and the composite as the level.

One further use of the manufacturing survey is as a global rather than national signal. Manufacturing is traded across borders, so the surveys of large exporting economies move together and tend to reflect the state of world demand rather than any single domestic economy. That makes them relevant to commodity prices and to commodity-linked currencies well beyond the country the survey was taken in.

Flash, final, and the sub-indices worth more than the headline

Flash estimates are published about ten days before the final figure, based on roughly 85% of responses. The flash is the market-moving release; the final rarely moves anything.
New orders is the most forward-looking component, because today's orders are next quarter's production.
New orders minus inventories is a widely used derived spread. Rising orders with falling stock is a genuine pick-up; rising orders with rising stock is less convincing.
Prices paid is an input-cost gauge that has led official inflation data at several turning points, which makes it relevant to rate expectations.
Employment within the survey occasionally shifts expectations for the labour market release later in the month.

Where survey data and official data part company

PMI is sentiment collected from a panel. It can diverge from hard output statistics for extended periods, and there have been stretches where surveys signalled contraction while official production data kept expanding. Respondents answer relative to their own expectations, so a period of pervasive pessimism can depress readings below what activity justifies.

Panel composition is the other source of drift. Firms enter and leave, weightings are adjusted, and providers publish competing indices for the same economy on different panels with different methods, which sometimes disagree by several points in the same month.

The working response is to watch the trend across three months rather than any single print, to prefer the composite over manufacturing alone, and to treat a large single-month move as a hypothesis until a second month supports it. PMI is one of the few genuinely forward-looking series on a trading calendar, which is exactly why it deserves to be read carefully rather than quickly.

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Written and reviewed by the MarketPro research desk

MarketPro is a trading-signal and trading-education app operated by Harajuku Holdings LTD (Cyprus). Our signal desk publishes and tracks every trade idea in-app, and every page here is checked against the app's live behaviour before publishing. Last reviewed 15 September 2026. How we produce signals and content · About MarketPro

FAQ

Understanding the Purchasing Managers' Index: questions

What does a PMI above 50 mean?

It means more surveyed firms reported improving conditions than deteriorating ones, so the sector is expanding on a breadth basis. It does not indicate how fast it is expanding, because a firm reporting a 1% improvement and one reporting a 40% improvement are counted the same way. Distance from 50 indicates how widespread the change is, not the size of the change in output.

Is manufacturing or services PMI more important?

Services, in most developed economies, because it covers 70% or more of output while manufacturing covers 10% to 20%. Manufacturing is still watched because it is more cyclical and tends to turn first, which makes it a leading indicator. The composite index, which weights the two together, is the better single read on overall economic activity.

Why do PMI and official economic data sometimes disagree?

PMI is a survey of perceptions collected from a panel of firms, and respondents answer relative to their own expectations rather than against an absolute standard. Panel composition changes over time, different providers run different panels for the same economy, and sustained pessimism can depress readings below what activity justifies. Hard output data measures transactions, which is a different thing from sentiment about them.

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