scientificcritical-mineralsrare-earthsupply-chainlithiumcobaltnickelmininggeopoliticsenergy-transitionESGcountry-data2024

Critical Minerals & Rare Earth Production Index

2024

Free

Open dataset

Sample structure: 71.3 / 100

5 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: USGS; International Energy Agency
Collection method: Supplier description: Data compiled and normalized from: • USGS Mineral Commodity Summaries 2024-2025 • British Geological Survey World Mineral Statistics • IEA Critical Minerals Market Review 2024 • European Commission Critical Raw Materials Assessment • S&P Global Market Intelligence
Coverage / snapshot: 2024
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: International Energy Agency: https://www.iea.org/data-and-statistics

Sample structure score: 71.3 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	21.3 / 50	115 of 270 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	115 of 115 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
country	0 / 10	string	0 / 10
iso3_code	0 / 10	string	0 / 10
region	0 / 10	string	0 / 10
lithium_production_tonnes	8 / 10	number	0 / 2
lithium_reserves_kt	7 / 10	number	0 / 3
cobalt_production_tonnes	9 / 10	number	0 / 1
cobalt_reserves_kt	10 / 10	unknown	0 / 0
nickel_production_kt	5 / 10	number	0 / 5
nickel_reserves_kt	8 / 10	number	0 / 2
rare_earth_oxide_production_tonnes	9 / 10	number	0 / 1
rare_earth_reserves_kt	10 / 10	unknown	0 / 0
graphite_production_kt	7 / 10	number	0 / 3
graphite_reserves_kt	7 / 10	number	0 / 3
copper_production_kt	6 / 10	number	0 / 4
copper_reserves_kt	6 / 10	number	0 / 4
manganese_production_kt	9 / 10	number	0 / 1
manganese_reserves_kt	9 / 10	number	0 / 1
tungsten_production_tonnes	8 / 10	number	0 / 2
tungsten_reserves_kt	8 / 10	number	0 / 2
vanadium_production_tonnes	9 / 10	number	0 / 1
vanadium_reserves_kt	10 / 10	unknown	0 / 0
gallium_production_tonnes	10 / 10	unknown	0 / 0
has_processing_facilities	0 / 10	string	0 / 10
export_restrictions_score	0 / 10	number	0 / 10
mineral_governance_index	0 / 10	number	0 / 10
minerals_produced_count	0 / 10	number	0 / 10
supply_importance_score	0 / 10	number	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Multi-source dataset tracking production volumes, reserves, processing capacity, and supply chain risk metrics for 10 critical minerals (lithium, cobalt, nickel, rare earth oxides, natural graphite, copper, manganese, tungsten, vanadium, gallium) across 54 countries. Each entry includes production data, reserves, processing facility presence, export restriction scores, mineral governance index, and composite supply importance scores.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 890ecde2-f3b5-49f9-9f67-a1633776f2b1 --output dataset.bin

Full supplier documentation

Original supplier listing: Critical Minerals & Rare Earth Production Index — 10 Minerals (2024) Reference-grade multi-source dataset tracking production volumes, reserves, processing capacity, and supply chain risk metrics for 10 critical minerals across 54 countries. Minerals covered: lithium, cobalt, nickel, rare earth oxides, natural graphite, copper, manganese, tungsten, vanadium, and gallium. Each country entry includes: production volumes (tonnes), known reserves, processing facility presence, export restriction scores (0-10 scale), mineral governance index (0-100), count of minerals produced, and a composite supply importance score weighted by strategic significance. Data compiled and normalized from: • USGS Mineral Commodity Summaries 2024-2025 • British Geological Survey World Mineral Statistics • IEA Critical Minerals Market Review 2024 • European Commission Critical Raw Materials Assessment • S&P Global Market Intelligence Highly relevant for supply chain analysis, energy transition planning, geopolitical risk assessment, and ESG research. Not available as a single normalized dataset from any single source.

Schema

Name	Type	Description
country	string
iso3_code	string
region	string
lithium_production_tonnes	string
lithium_reserves_kt	string
cobalt_production_tonnes	string
cobalt_reserves_kt	string
nickel_production_kt	string
nickel_reserves_kt	string
rare_earth_oxide_production_tonnes	string
rare_earth_reserves_kt	string
graphite_production_kt	string
graphite_reserves_kt	string
copper_production_kt	string
copper_reserves_kt	string
manganese_production_kt	string
manganese_reserves_kt	string
tungsten_production_tonnes	string
tungsten_reserves_kt	string
vanadium_production_tonnes	string
vanadium_reserves_kt	string
gallium_production_tonnes	string
has_processing_facilities	string
export_restrictions_score	string
mineral_governance_index	string
minerals_produced_count	string
supply_importance_score	string

Sample Data

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Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Critical Minerals & Rare Earth" })
// Found: 890ecde2-f3b5-49f9-9f67-a1633776f2b1
get_download_url({ dataset_id: "890ecde2-f3b5-49f9-9f67-a1633776f2b1" })  // free — sign in with MCP OAuth first

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