Knoema: Chemicals Data Atlas

40+ public chemicals-related datasets from EIA, FAO, USDA, OECD, and other authoritative sources.

Description:

The Chemicals Data Atlas includes a variety of indiсators for monitoring the state of the industry on national and sub-national levels. It covers data on petrochemicals (such as domestic production and consumption of refined petroleum products) and agrochemicals (such as fertilizer and pesticides usage and prices).

Topics covered:

  • Petrochemicals

Datasets include:

  • FAOSTAT Fertilizers by Product
  • USDA Fertilizer Use and Price in the U.S.
  • Germany Chemistry Facts and Figures
  • Canadian Fertilizer Inventories
  • Eurostat Pesticide Sales
  • 40+ others

Please see reference table CHEMICALS_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 & Consumption
  • Imports & Exports
  • Producer Price Indices
  • Stocks

Sources include the Food and Agriculture Organization, Petroleum Association of Japan, U.S. Department of Energy, Eurostat, U.S. Bureau of Labor Statistics (BLS), Statistics Canada, German Chemicals Industry Association, U.S. Department of Agriculture (USDA), Organisation for Economic Co-operation and Development (OECD). 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 inputs, capacities, and stocks of chemicals
  • Comparing countries’ chemicals trade volumes

About the Provider:

Knoema is the most comprehensive source of global decision-making data in the world. Our data technology solutions compress the complex data discovery to insight workflow from countless hours to minutes, saving clients time, energy, and budget. Our data tools allow individuals and enterprises to discover, visualize, model, and present their data and the world’s data to facilitate more informed decisions and better business outcomes.

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