Hungary Manufacturing PMI

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Hungary Manufacturing PMI: 51.8 (0%)
Last Update: May 31, 2024

Hungary Manufacturing PMI closed down 51.8 as of May 31, 2024 from 51.8 from the previous month and 57.26 from last year.


Hungary Manufacturing PMI Analytics & Data




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Hungary Manufacturing PMI

DateValues
2024-05-31 51.8
2024-04-30 51.8
2024-03-31 52.2
2024-02-29 52.33
2024-01-31 50.24
2023-12-31 51.16
2023-11-30 50.64
2023-10-31 50.96
2023-09-30 48.38
2023-08-31 47.53
2023-07-31 46.9
2023-06-30 45.74
2023-05-31 57.26
2023-04-30 61.56
2023-03-31 55.84
2023-02-28 56.26
2023-01-31 55.39
2022-12-31 59.52
2022-11-30 55.83
2022-10-31 57.23
2022-09-30 51.54
2022-08-31 57.59
2022-07-31 57.83
2022-06-30 57.8

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Hungary Manufacturing PMI Statistics


IndicatorSymbolActualPreviousM/M%Y/Y%TrendSlopePercentileUpdate
Manufacturing PMIhu.manpmi51.851.80-10UPDown182024-05-31

Hungary Manufacturing PMI Factors

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Hungary Manufacturing PMI Historical Data

The MacroVar database offers free access to historical data for the Hungary 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 Hungary Manufacturing PMI data, supporting a wide range of research, financial analysis, and decision-making processes.

What is the Hungary Manufacturing PMI

The Hungary Manufacturing PMI (Purchasing Managers' Index) is an indicator of the economic health of the manufacturing sector in Hungary. It is based on survey data collected from purchasing managers in the manufacturing industry, who provide information on factors such as new orders, production levels, employment, and supplier deliveries. A PMI above 50 indicates expansion in the manufacturing sector, while a PMI below 50 indicates contraction. The Hungary Manufacturing PMI is an important tool for policymakers, investors, and businesses to gauge the strength of the manufacturing sector and make informed decisions.

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