Key Takeaways
- Ancient Hindus valued diamonds for healing, mentioned in 4th century texts.
- Roman Pliny the Elder described diamond as "splinter of stellar ice" in 77 AD.
- Koh-i-Noor diamond weighed 793 carats before recutting, now British Crown Jewel.
- Global jewelry diamond demand was 75 million carats in 2023.
- De Beers Diamond Insight Report values market at $80 billion in 2022.
- India polishes 90% of world's diamonds, employing 1 million.
- Diamonds form primarily in the mantle at depths of 140-200 km under 45-60 kbar pressure.
- Kimberlite pipes, vertical conduits, transport diamonds from mantle to surface rapidly.
- Eclogitic diamonds form in subducted oceanic crust at 150-250 km depth.
- Diamonds have a Mohs hardness of 10, the highest on the scale, due to their tetrahedral crystal structure composed of carbon atoms bonded in a rigid lattice.
- The refractive index of diamond ranges from 2.417 to 2.419, contributing to its exceptional brilliance and fire.
- Diamonds exhibit total internal reflection when light strikes the critical angle of approximately 24.4 degrees, enhancing sparkle.
- Diamonds are found in 35 countries, but only ~30 produce gem quality.
- Russia produces 40 million carats annually, 30% of global supply.
- Botswana mines 24 million carats/year from Jwaneng and Orapa.
Diamonds have endured for millennia, from ancient healing lore to modern engagement symbolism and booming markets.
Cultural and Historical Significance
Cultural and Historical Significance Interpretation
Economic Value
Economic Value Interpretation
Geological Formation
Geological Formation Interpretation
Physical Properties
Physical Properties Interpretation
Production and Mining
Production and Mining Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Gabrielle Fontaine. (2026, February 13). Diamond Statistics. Gitnux. https://gitnux.org/diamond-statistics
Gabrielle Fontaine. "Diamond Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diamond-statistics.
Gabrielle Fontaine. 2026. "Diamond Statistics." Gitnux. https://gitnux.org/diamond-statistics.
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