Key Takeaways
- In 2022, women represented only 17% of the total mining workforce globally, compared to 47% in the overall workforce across all industries
- In Australia, female participation in the mining sector stood at 21% in 2023, up from 18% in 2019, reflecting slow progress in gender balance
- Indigenous workers comprised 4.2% of the Canadian mining workforce in 2021, despite making up 5% of the national population
- Women held 15% of executive positions in global mining companies in 2023, up from 10% in 2018
- In Canada, Indigenous leaders were 3.2% of C-suite roles in mining in 2022
- Black executives in South African mining firms reached 42% in 2023, per B-BBEE compliance data
- Mining launched 150+ DEI training programs worldwide in 2023, with 75% focused on unconscious bias
- Australia invested AUD 50M in mining scholarships for women and Indigenous in 2023
- Canadian Mining Association's Indigenous procurement hit CAD 5B in 2022 contracts
- Employee engagement scores rose 12% in DEI-active mining sites per 2023 surveys
- 68% of mining workers reported feeling included in 2023 global DEI survey
- Turnover rates dropped 15% among diverse hires in Australian mines 2022-2023
- Women in mining projected to reach 25% workforce by 2030 per ICMM forecast
- Indigenous employment in mining expected to double to 10% in Australia by 2030
- Global mining DEI spend forecasted at USD 2.5B annually by 2025
Mining remains far behind in diversity, but slow progress offers cautious optimism for change.
Equity Programs and Initiatives
Equity Programs and Initiatives Interpretation
Inclusion Surveys and Metrics
Inclusion Surveys and Metrics Interpretation
Industry Trends and Projections
Industry Trends and Projections Interpretation
Leadership Representation
Leadership Representation Interpretation
Workforce Demographics
Workforce Demographics 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.
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.
Margot Villeneuve. (2026, February 13). Diversity Equity And Inclusion In The Mining Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-mining-industry-statistics
Margot Villeneuve. "Diversity Equity And Inclusion In The Mining Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-mining-industry-statistics.
Margot Villeneuve. 2026. "Diversity Equity And Inclusion In The Mining Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-mining-industry-statistics.
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