Knoema: Mining Data Atlas

20+ public mining-related datasets from BGS, World Bank, OECD, Eurostat, and other authoritative sources.

Description:

The Mining Data Atlas is a collection of datasets that offers key metrics for resource assessments and research on mineral potential, production, and consumption in different countries. In this collection, you’ll find indicators of production, capacity utilization, prices in the mining of fuels, metals, and non-metallic minerals.

Topics covered:
– Fuels
– Metals
– Non-metallic minerals

Datasets include:
– BGS World Mineral Production
– World Bank Commodity Markets Outlook
– World Largest Uranium Mines
– USGS Mineral Commodity Summaries
– Mineral Exploration Statistics of Australia
– 20+ others

Please see reference table MINING_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:
– Industrial production index
– Production
– Capacity utilization
– Meters drilled
– Producer price index
– Gross value added
– Purchases and sales

Sources include British Geological Survey (BGS), U.S. Geological Survey (USGS), World Bank, World Nuclear Association, Australian Bureau of Statistics, China National Bureau of Statistics, Organisation for Economic Co-operation and Development (OECD), 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
– Assessment of the mineral potential of a country
– Industry analysis

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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