Commodities Data Atlas

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Data Share Description:

Commodities Data Atlas

Data Share Frequency: Daily
Data Share Category: Economy
Data Share Type: Open
Data Share Date Added: January 1, 2021
Data Share Status: ACTIVE
Data Share Email Contact:
Data Share Usage Example Q1: What is the production of crude steel in Germany over time?
Data Share Usage Example SQL1 Status: SUCCEEDED
Data Share Usage Example SQL1 Last Tested: January 1, 1970

Data Share Overview:

The Commodities Data Atlas offers key statistics designed to help commodity markets watchers anticipate and respond to developments in the global commodity markets as well as changes in demand and supply forces. It includes data on production, consumption, trade, futures, prices and price forecasts for fuels, metals, agricultural commodities and raw materials. Topics covered: – Production – Consumption – Futures – Prices – Price forecasts – Trade Datasets include: – Commodity Futures Historical Data from all Exchanges – World Bank Commodity Markets Outlook – BGS World Mineral Production – World Bank Commodity Forecast Price Data – IMF Primary Commodity Price Statistics – UNSD Industrial Commodity Statistics Database – 20+ others Please see reference table COMMODITIES.DATASETS that includes the list of all tables/datasets included in this listing, with key details on each table/dataset including name, source, frequency of refresh, source, documentation on data, etc. Fields include: – Production of crude steel – Aluminium Futures – US Natural Gas Price Forecast – Imports of Corn – Wheat Stock Sources include the IMF, World Bank, OECD, UNSD, FAO, World Steel Association (WSA), British Geological Survey (BGS), UNCTAD, World Gold Council, International Grain Council (IGC), United States Department of Agriculture (USDA), Eurostat. Datasets are updated within 1-7 days of the most recent data being made available by the underlying reporter. More detail on each of the datasets, fields, and sources included in the share can be found at the link in our documentation. Use cases – Forecasting supply, demand and prices on commodity markets – Commodity markets analysis (grains, metals, etc.) – Self-sufficiency and import dependency analysis

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