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Purchasing Managers' Index (PMI)

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The Purchasing Managers' Index™ (PMI™) contains market-moving monthly economic indicators covering over 40 countries and 4,000 PMI indices, covering a range of sectors such as automotive, chemical, energy, food and beverage, consumer services, manufacturing, construction and technology. Based on monthly surveys of carefully selected companies representing major and developing economies worldwide.

Industry Domain:


Economic & Country Risk

Publisher:


IHS Markit

Content Type:


Structured

Access/Delivery Methods:


REST, Python, S3 Proxy, SQL

Keywords

Interested in this data? Download free data samples, dictionaries and documentation

Data Set

Dataset NameDataset DescriptionData FormatPublishing Frequency
Country MetadataIn addition to providing national macroeconomic indicators, PMI data are also compiled for a number of regions including USA, UK, Canada, SingaporeParquetVariable
Sector MetadataIn addition to providing national macroeconomic indicators, PMI data are also compiled for detailed sectors like Manufacturing, Construction, Whole economy.ParquetVariable
Purchasing Managers' Index (PMI) - TimeseriesEnd-to-end quarterly supply base cost drivers, and 10 year forecasts for a variety of industries, such as automotive, chemical, energy, food and beverage, consumer and retail, manufacturing, technology. Covering more than 500,000 historic prices, 4,000 forecasts, costs and wages, and over 200 cost models across 60 geographies for commodities such as agriculture, labor, machine equipment, metals, papers and packaging. This dataset is in a data analytics friendly format, use with the metadata dataset and join on 'source_id'.ParquetMonthly
Purchasing Managers' Index (PMI) - MetadataEnd-to-end quarterly supply base cost drivers, and 10 year forecasts for a variety of industries, such as automotive, chemical, energy, food and beverage, consumer and retail, manufacturing, technology. Covering more than 500,000 historic prices, 4,000 forecasts, costs and wages, and over 200 cost models across 60 geographies for commodities such as agriculture, labor, machine equipment, metals, papers and packaging. This dataset is in a data analytics friendly format, use with the timeseries dataset and join on 'source_id'.ParquetMonthly
Purchasing Managers' Index (PMI)PLEASE DO NOT USE. This dataset is in a NESTED parquet format, for more data analytics friendly format use the separate timeseries and metadata datasets and join on 'source_id'. End-to-end quarterly supply base cost drivers, and 10 year forecasts for a variety of industries, such as automotive, chemical, energy, food and beverage, consumer and retail, manufacturing, technology. Covering more than 500,000 historic prices, 4,000 forecasts, costs and wages, and over 200 cost models across 60 geographies for commodities such as agriculture, labor, machine equipment, metals, papers and packaging.ParquetMonthly
Concept MetadataEach national PMI dataset is compiled from questionnaire responses from a survey panel of senior purchasing executives (or similar) at around 400 companies. The survey panels are carefully recruited to accurately represent the true structure of the monitored sector: manufacturing, services, construction or the entire private sector economy. The survey questionnaire covers the economic concepts covered in this datasetParquetVariable
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