The point and polygon layers within this geodatabase present the global distribution of selected mineral resource features (deposits, mines, districts, mineral regions) for 22 minerals or mineral commodities considered critical to the economy and security of the United States as of 2017. These data complement the report by Schulz and others (2017) which provides national and global information on 23 critical minerals - antimony (Sb), barite (barium, Ba), beryllium (Be), cobalt (Co), fluorite or fluorspar (fluorine, F), gallium (Ga), germanium (Ge), graphite (carbon, C), hafnium (Hf), indium (In), lithium (Li), manganese (Mn), niobium (Nb), platinum-group elements (PGE), rare-earth elements (REE), rhenium (Re), selenium (Se), tantalum (Ta), tellurium (Te), tin (Sn), titanium (Ti), vanadium (V), and zirconium (Zr) resources. The geospatial locations for deposits containing selenium, which is recovered mainly as a byproduct of other produced mineral commodities, is not included in this geodatabase. These geospatial data and the accompanying report are an update to information published in 1973 in U.S. Geological Survey Professional Paper 820, United States Mineral Resources. For the current and full discussion of the individual critical minerals, their uses, identified resources, national and global distribution, geologic overview, resource assessment, and geoenvironmental considerations see: Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., 2017, Critical mineral resources of the United States—Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, 777 p., https://doi.org/10.3133/pp1802

This data set covers global extraction and production of coal and metal ores on an individual mine level. It covers
1171 individual mines, reporting mine-level production for 80 different materials in the period 2000-2021. Furthermore, also data on mining coordinates, ownership, mineral reserves, mining waste, transportation of mining products, as well
as mineral processing capacities (smelters and mineral refineries) and production is included. The data was gathered manually from more than 1900 openly available sources, such as annual or sustainability reports of mining companies. All datapoints are linked to their respective sources. After manual screening and entry of the data, automatic cleaning, harmonization and data checking was conducted. Geoinformation was obtained either from coordinates available in company reports, or by retrieving the coordinates via Google Maps API and subsequent manual checking. For mines where no coordinates could be found, other geospatial attributes such as province, region, district or municipality were recorded, and linked to the GADM data set, available at www.gadm.org.

The data set consists of 12 tables. The table “facilities” contains descriptive and spatial information of mines and processing facilities, and is available as a GeoPackage (GPKG) file. All other tables are available in comma-separated values (CSV) format. A schematic depiction of the database is provided as in PNG format in the file database_model.png.

This dataset brings together several types of mining data for 50 mining elements* provided by the U.S. Geological Survey (USGS). Long trend global mining production to 2019 and global reserves data to 2021 and global resources when available are extracted from annual reports, documentation and raw data. *Aluminium, Antimony, Arsenic, Bauxite, Beryllium, Boron, Bromine, Cadmium, Cesium, Chromium, Cobalt, Copper, Gallium, Germanium, Gold, Graphite, Hafnium, Indium, Iodine, Iron, Lead, Lithium, Magnesium, Manganese, Mercury, Molybdenum, Nickel, Niobium, Phosphorus, Platinum group metal, Rare Earths, Rhenium, Rubidium, Selenium, Silica, Silicon, Silver, Strontium, Sulfur, Tantalum, Tellurium, Thallium, Thorium, Tin, Titanium, Tungsten, Vanadium, Yttrium, Zinc, Zirconium

The Critical Minerals in Archived Mine Samples Database (CMDB) contains chemistry and geologic information for historic ore and ore-related rock samples from mineral deposits in the United States. In addition, the database contains samples from archetypal deposits from 27 other countries in North America, South America, Asia, Africa and Europe. Samples were obtained from archived ore collections under the U.S. Geological Survey's project titled “Quick Assessment of Rare and Critical Metals in Ore Deposits: A National Assessment” (2008 to 2013) in an effort to begin an assessment of the Nations' previously mined ore deposits for critical minerals. Mineralized and altered rock samples were provided by the Colorado School of Mines—Ransome collection, Mackay School of Mines—Stanford and Keck collections, and by the personal collections of Don Bryant and David Leach.

An estimated 23 M people live on floodplains affected by potentially dangerous concentrations of toxic waste derived from past and present metal mining activity. We analyze the global dimensions of this hazard, particularly Pb, Zn, Cu and As, using a geo-referenced global database detailing all known metal mining sites, and intact/failed tailings storage facilities. We then use process-based and empirically tested modelling, to produce a global assessment of metal mining contamination in river systems, and the number of human populations, and livestock exposed. Worldwide, metal mines impact 479,200 km of river channels and 164,000 km2 of floodplains. The number of people exposed to contamination sourced from long-term discharge of mining waste into rivers is almost fifty times greater than the number directly impacted by tailings dam failures.

The data in this repository is available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

This repository includes two datasets. The first is a collection of polygons covering mines globally and the associated forest cover loss from 2000 to 2019. The polygons were derived by merging the "global-scale mining polygons version 2" (Maus et al., 2022) and mining and quarry polygon features extracted from the OpenStreetMap database (OpenStreetMap contributors, 2017). To remove double counting of areas the overlaps between the datasets were resolved by uniting intersecting features into single polygon features, i.e. keeping only the external borders of intersecting features. A random visual check was conducted, and a few small manual editing of polygons was performed where errors were identified.

The resulting dataset is encoded as a Geopackage in the file 'global_mining_polygons.gpkg'. The GeoPackage includes a single layer with 192,584 entries called 'mining_polygons' with the following attributes:

• id unique feature identifier
• isoa3 ISO 3166-1 alpha-3 country codes
• country country names
• area area of the polygon in squared kilometres
• geom the geometry of the features in geographical coordinates WGS84

The second dataset provides annual time series of global tree cover loss within mines from 2000 to 2019, covering all polygons in the above dataset. The area of tree cover loss for each polygon was calculated from the Global Forest Change database (Hansen et al., 2013). Each polygon also has additional string attributes with biomes derived from Ecoregions 2017 ^{© Resolve} (Dinerstein et al., 2017) and the level of protection derived from The World Database on Protected Areas (UNEP-WCMC and IUCN, 2022).

This dataset is encoded in CSV format in the file 'global_mining_forest_loss.csv', which includes 416,412 entries and 53 variables, such that:

• id unique feature identifier
• id_hcluster unique feature identifier
• list_of_commodities a comma-separated list of commodities
• isoa3 ISO 3166-1 alpha-3 country codes
• country country names
• ecoregion ecoregion name
• biome biome name
• year the year
• area_forest_loss_XXX_YYY

The values of tree cover loss are disaggregated per initial percentage of tree cover (XXX) and per protection level (YYY).

• XXX can take one of:
  • 000: total tree cover loss independently from the initial tree cover
  • 025: tree cover loss on pixels with initial tree cover between 0 and 25%
  • 050: tree cover loss on pixels with initial tree cover between 25 and 50%
  • 075: tree cover loss on pixels with initial tree cover between 50 and 75%
  • 100: tree cover loss on pixels with initial tree cover between 75 and 100%
• YYY can take one of:
  • la: tree cover loss within strict nature reserve
  • Ib: tree cover loss within wilderness area
  • II: tree cover loss within national park
  • III: tree cover loss within natural monument or feature
  • IV: tree cover loss within habitat/species management area
  • V: tree cover loss within protected landscape/seascape
  • VI: tree cover loss within PA with sustainable use of natural resources
  • p: tree cover loss within any type of protection, including not applicable, not assigned, or not reported
  • none: when YYY is omitted, total tree cover loss within the polygon

For details about the protection levels definition see the UNEP-WCMC and IUCN (2022). The id can be used to link polygons to forest loss data.

An analysis paper on World Mining Data. The sufficient supply of minerals and other raw materials under fair market conditions is an essential basis for a well-functioning economy. Therefore, a detailed and objective analysis of regional and sectoral trends in global mining production is crucial for a forward looking minerals policy. This report helps to identify potential short or medium-term supply risks.

In 2024, the total assets of the mining industry's 40 leading companies came to approximately 1.25 trillion U.S. dollars. This was among the highest recorded values of the total assets during the period of consideration.

Key information about US Minerals Production

• United States Minerals Production was reported at 2,316,410,664.000 Metric Ton in Dec 2022
• This records an increase from the previous number of 2,216,667,393.000 Metric Ton for Dec 2021
• US Minerals Production data is updated yearly, averaging 2,068,914,174.500 Metric Ton from Dec 2009 to 2022, with 14 observations
• The data reached an all-time high of 2,335,902,701.000 Metric Ton in 2019 and a record low of 1,894,315,090.000 Metric Ton in 2009
• US Minerals Production data remains active status in CEIC and is reported by Federal Ministry Republic of Austria
• The data is categorized under World Trend Plus’s Association: Metal and Mining Sector – Table WB.BMF.WMPC: World Mining Production by Country

This dataset updates the global-scale mining polygons (Version 1) available from https://doi.org/10.1594/PANGAEA.910894. It contains 44,929 polygon features, covering 101,583 km² of land used by the global mining industry, including large-scale and artisanal and small-scale mining. The polygons cover all ground features related to mining, .e.g open cuts, tailing dams, waste rock dumps, water ponds, processing infrastructure, and other land cover types related to the mining activities. The data was derived using a similar methodology as the first version by visual interpretation of satellite images. The study area was limited to a 10 km buffer around the 34,820 mining coordinates reported in the S&P metals and mining database. We digitalized the mining areas using the 2019 Sentinel-2 cloudless mosaic with 10 m spatial resolution (https://s2maps.eu by EOX IT Services GmbH - Contains modified Copernicus Sentinel data 2019). We also consulted Google Satellite and Microsoft Bing Imagery, but only as additional information to help identify land cover types linked to the mining activities. The main data set consists of a GeoPackage (GPKG) file, including the following variables: ISO3_CODE, COUNTRY_NAME, AREA in squared kilometres, FID with the feature ID, and geom in geographical coordinates WGS84. The summary of the mining area per country is available in comma-separated values (CSV) file, including the following variables: ISO3_CODE, COUNTRY_NAME, AREA in squared kilometres, and N_FEATURES number of mapped features. Grid data sets with the mining area per cell were derived from the polygons. The grid data is available at 30 arc-second resolution (approximately 1x1 km at the equator), 5 arc-minute (approximately 10x10 km at the equator), and 30 arc-minute resolution (approximately 55x55 km at the equator). We performed an independent validation of the mining data set using control points. For that, we draw 1,000 random samples stratified between two classes: mine and no-mine. The control points are also available as a GPKG file, including the variables: MAPPED, REFERENCE, FID with the feature ID, and geom in geographical coordinates WGS84. The overall accuracy calculated from the control points was 88.3%, Kappa 0.77, F1 score 0.87, producer's accuracy of class mine 78.9 % and user's accuracy of class mine 97.2 %.

Key information about Indonesia Minerals Production

• Indonesia Minerals Production was reported at 800,312,947.000 Metric Ton in Dec 2022
• This records an increase from the previous number of 683,946,744.000 Metric Ton for Dec 2021
• Indonesia Minerals Production data is updated yearly, averaging 579,162,218.500 Metric Ton from Dec 2009 to 2022, with 14 observations
• The data reached an all-time high of 800,312,947.000 Metric Ton in 2022 and a record low of 328,043,919.000 Metric Ton in 2009
• Indonesia Minerals Production data remains active status in CEIC and is reported by Federal Ministry Republic of Austria
• The data is categorized under World Trend Plus’s Association: Metal and Mining Sector – Table WB.BMF.WMPC: World Mining Production by Country

2906 Active Global Mining Equipment suppliers, manufacturers list and Global Mining Equipment exporters directory compiled from actual Global export shipments of Mining Equipment.

The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 10 countries of interest in Southwest Asia (area of study): Afghanistan, Cambodia, Laos, India, Indonesia, Iran, Nepal, North Korea, Pakistan, and Thailand. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feature classes from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for copper, phosphate, and potash, (5) coal occurrence areas, (6) electric power generating facilities, (7) electric power transmission lines, (8) liquefied natural gas terminals, (9) undiscovered, technically recoverable conventional and continuous hydrocarbon resources (by USGS geologic province), (10) cumulative production and recoverable conventional resources (by oil- and gas-producing nation), and (11) major mineral exporting maritime ports.

Mine Production and GIS Data associated with the paper "Global-scale remote sensing of mines and analysis of factors explaining their extent"

This geodatabase reflects the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Africa. The geodatabase and geospatial data layers serve to create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains data layers from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for Gabon and Mauritania, (5) undiscovered mineral resource tracts for potash, platinum-group elements, and copper, (6) coal occurrence areas, (7) electric power generating facilities, (8) electric power transmission lines, (9) liquefied natural gas terminals, (10) oil and gas pipelines, (11) undiscovered, technically recoverable conventional and continuous hydrocarbon resources (by USGS geologic/petroleum province), (12) cumulative production, and recoverable conventional resources (by oil- and gas-producing nation), (13) major mineral exporting maritime ports, (14) railroads, (15) major roads, (16) major cities, (17) major lakes, (18) major river systems, (19) first-level administrative division (ADM1) boundaries for all countries in Africa, and (20) international boundaries for all countries in Africa.

Record of displacement and resettlement events caused by the mining industry.

Global Data Mining Tools market size is expected to reach $2.11 billion by 2029 at 12.8%, segmented as by tools, data mining software, data visualization tools, data preparation tools, predictive analytics tools, reporting tools

This is the full version of the MineNetCD dataset. The paper has been published in IEEE TGRS 2024 (https://ieeexplore.ieee.org/document/10744421). The dataset contains 100 sites, and the metadata can also be found in the zip archive.

The cropped version can also be found in Huggingface Hub (https://huggingface.co/datasets/HZDR-FWGEL/MineNetCD256).

Key information about Chile Minerals Production

• Chile Minerals Production was reported at 32,040,030.000 Metric Ton in Dec 2022
• This records an increase from the previous number of 30,640,449.000 Metric Ton for Dec 2021
• Chile Minerals Production data is updated yearly, averaging 30,918,574.500 Metric Ton from Dec 2009 to 2022, with 14 observations
• The data reached an all-time high of 35,335,498.000 Metric Ton in 2014 and a record low of 21,715,753.000 Metric Ton in 2009
• Chile Minerals Production data remains active status in CEIC and is reported by Federal Ministry Republic of Austria
• The data is categorized under World Trend Plus’s Association: Metal and Mining Sector – Table WB.BMF.WMPC: World Mining Production by Country

United States Number of Job Postings: New: Mining data was reported at 3,770.000 Unit in 05 May 2025. This records a decrease from the previous number of 4,432.000 Unit for 28 Apr 2025. United States Number of Job Postings: New: Mining data is updated weekly, averaging 1,112.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 15,942.000 Unit in 16 May 2022 and a record low of 75.000 Unit in 28 Apr 2008. United States Number of Job Postings: New: Mining data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s United States – Table US.RL.JP: Number of Job Postings: New: by Industry.