Thailand Manufacturing PMI


Thailand Manufacturing PMI: 51.7 (2.78%)
Last Update: June 30, 2024

Thailand Manufacturing PMI closed down 51.7 as of June 30, 2024 from 50.3 from the previous month and 53.2 from last year.


Thailand Manufacturing PMI Analytics & Data




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Thailand Manufacturing PMI

DateValues
2024-06-30 51.7
2024-05-31 50.3
2024-04-30 48.6
2024-03-31 49.1
2024-02-29 45.3
2024-01-31 46.7
2023-12-31 45.1
2023-11-30 47.6
2023-10-31 47.5
2023-09-30 47.8
2023-08-31 48.9
2023-07-31 50.7
2023-06-30 53.2
2023-05-31 58.2
2023-04-30 60.4
2023-03-31 53.1
2023-02-28 54.8
2023-01-31 54.5
2022-12-31 52.5
2022-11-30 51.1
2022-10-31 51.6
2022-09-30 55.7
2022-08-31 53.7
2022-07-31 52.4

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Thailand Manufacturing PMI Statistics


IndicatorSymbolActualPreviousM/M%Y/Y%TrendSlopePercentileUpdate
Manufacturing PMIth.manpmi51.750.33-3UPDown312024-06-30

Thailand Manufacturing PMI Factors

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Thailand Manufacturing PMI Historical Data

The MacroVar database offers free access to historical data for the Thailand Manufacturing PMI, dating back to 1950. This extensive dataset is readily available through MacroVar versatile platforms, including a user-friendly web interface, a robust Python API, and convenient Excel integration. By leveraging these tools, users can efficiently retrieve and analyze decades of Thailand Manufacturing PMI data, supporting a wide range of research, financial analysis, and decision-making processes.

What is the Thailand Manufacturing PMI

The Thailand Manufacturing PMI, or Purchasing Managers' Index, is a key economic indicator that measures the performance of the manufacturing sector in Thailand. It is based on a monthly survey of purchasing managers in the sector, who provide insights into various aspects of business activity such as production levels, new orders, employment, and supplier deliveries. A PMI reading above 50 indicates expansion in the sector, while a reading below 50 indicates contraction. The Thailand Manufacturing PMI provides valuable information for policymakers, investors, and businesses, helping them make informed decisions about the state of the economy and potential future trends.