China S&P Global Composite PMI
★★★★★TrendRecently13Term · 9月 → 9月
Historical Data
| Issue No. | Publication Date (UTC) | Actual | Forecast | Previous |
|---|---|---|---|---|
| Sep | Sep 30, 2026 01:30 | 50.7Points | 50.1Points | 49.5Points |
| Aug | Aug 31, 2026 01:30 | 49.5Points | -- | 49.3Points |
| Jul | Jul 31, 2026 01:30 | 49.3Points | -- | 50.6Points |
| Jun | Jun 30, 2026 01:30 | 50.6Points | -- | 50.5Points |
| May | May 31, 2026 01:30 | 50.5Points | -- | 50.1Points |
| Apr | Apr 30, 2026 01:30 | 50.1Points | -- | 50.5Points |
| Mar | Mar 31, 2026 01:30 | 50.5Points | -- | 49.5Points |
| Feb | Mar 4, 2026 01:30 | 49.5Points | -- | 49.8Points |
| Jan | Jan 31, 2026 01:30 | 49.8Points | -- | 50.7Points |
| Dec | Dec 30, 2025 19:30 | 50.7Points | -- | 49.7Points |
| Nov | Nov 29, 2025 19:30 | 49.7Points | -- | 50Points |
| Oct | Oct 30, 2025 18:30 | 50Points | -- | 50.6Points |
| Sep | Sep 29, 2025 18:30 | 50.6Points | -- | 50.5Points |
Interpretation of Indicators
S&P Global China Composite PMI
The S&P Global China Composite PMI (Purchasing Managers' Index) is a crucial economic indicator that provides a comprehensive snapshot of the health of China's private sector economy. It combines data from both the manufacturing and services sectors, offering a broader perspective than either individual PMI alone.
Definition and Methodology
The S&P Global China Composite PMI is a weighted average of the S&P Global China Manufacturing PMI and the S&P Global China Services PMI. These individual PMIs are derived from surveys of purchasing managers in hundreds of private sector companies across China. Survey respondents are asked to provide information on various business conditions, including new orders, output, employment, suppliers' delivery times, and stocks of purchases. For each of these components, managers are asked to indicate whether conditions have improved, deteriorated, or remained unchanged compared to the previous month.
The raw data from these surveys are then compiled into a diffusion index. A reading above 50.0 indicates an overall expansion in the sector compared to the previous month, while a reading below 50.0 suggests contraction. A reading of 50.0 signifies no change. The composite index then aggregates these two sector-specific readings, typically weighted by their relative contribution to the national GDP, to provide a single, overarching measure of private sector activity. The specific weighting methodology is proprietary to S&P Global.
Release Mechanism
The S&P Global China Composite PMI is typically released monthly, shortly after the individual manufacturing and services PMIs. The exact release schedule is usually pre-announced by S&P Global. The data collection and compilation process is conducted by S&P Global, a leading global provider of financial information and analytics. The results are then published and made available to subscribers and the wider public through various financial news outlets and data platforms.
Why the Market Pays Attention
The S&P Global China Composite PMI is closely watched by economists, analysts, and investors for several reasons. Firstly, as a composite index, it offers a more holistic view of the private sector than single-sector PMIs, capturing the interplay between manufacturing and services. This is particularly important for an economy like China's, which is undergoing a structural shift towards greater reliance on services.
Secondly, PMI data are considered "leading indicators." This means they often provide early signals of changes in economic trends, sometimes even before official government statistics are released. Purchasing managers are at the forefront of business activity, and their sentiment and decisions on new orders, production, and employment can foreshadow broader economic shifts.
Finally, the S&P Global China Composite PMI complements the official NBS (National Bureau of Statistics) PMIs. While the NBS PMIs cover a broader range of companies, including state-owned enterprises, the S&P Global PMIs focus specifically on the private sector, which is a significant driver of innovation and employment in China. This provides a valuable alternative perspective and allows for cross-referencing and a more nuanced understanding of economic conditions.
How to Interpret the Data
Historically, a sustained reading above 50.0 for the S&P Global China Composite PMI has typically been interpreted as a sign of robust economic expansion in the private sector. Conversely, a prolonged period below 50.0 usually signals a contraction. The magnitude of the deviation from 50.0 is also important; a reading of 55.0 suggests much stronger growth than a reading of 50.5.
Analysts often look at the trend of the index over several months. A rising trend, even if still below 50.0, might indicate an improving outlook, while a falling trend, even if above 50.0, could signal a slowdown. Furthermore, the individual components of the PMI, such as new orders or employment, can offer deeper insights into the drivers of the overall composite figure. For instance, strong new orders but weak employment might suggest businesses are becoming more efficient rather than expanding their workforce.
It's important to remember that the PMI is a sentiment-based indicator. While it reflects actual business activity, it also captures the mood and expectations of purchasing managers, which can be influenced by various factors. Therefore, it's usually interpreted in conjunction with other economic data.
Related Indicators
The S&P Global China Composite PMI is inherently linked to its constituent parts: the S&P Global China Manufacturing PMI and the S&P Global China Services PMI. Movements in these individual indices directly impact the composite figure.
It is also closely watched alongside the official NBS Manufacturing PMI and NBS Non-Manufacturing PMI, which provide a broader view of the economy including state-owned enterprises. Comparing the S&P Global PMIs with the NBS PMIs can reveal differences in performance between the private and state sectors.
Furthermore, the Composite PMI is often analyzed in conjunction with other key economic indicators such as industrial production, retail sales, fixed asset investment, and trade data. These indicators provide a more complete picture of China's economic performance and help contextualize the signals from the PMI. Central bank policy decisions, such as interest rate changes, can also influence future PMI readings, and vice versa, as policymakers often consider PMI data when formulating their strategies.
