ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Emissions intensity of nitrous oxides (DRC open-pit mines) | tonnes per tonne of processed ore | 0.000055 | 19 | ||||||
| Emissions intensity of sulfur oxides (Brazilian operations) | tonnes per tonne of processed ore | 0.0000461 | 19 | ||||||
| Total NOx emissions | thousand tonnes | 1.2 | 1.9 | 1.5 | 1.8 | 2.3 | 2.6 | 3.1 | 55 |
| Total PM emissions | thousand tonnes | 4.9 | 4.8 | 4.4 | 5.4 | 6.8 | 7 | 8.7 | 55 |
| Total SOx emissions | thousand tonnes | 3.6 | 3.5 | 3 | 2.4 | 3 | 2.9 | 2.6 | 55 |
| Total airborne emissions NOx | kilotonnes | 1.5 | 1.8 | 2.3 | 2.6 | 3.1 | 19 | ||
| Total airborne emissions PM10 | kilotonnes | 4.4 | 5.4 | 6.8 | 7 | 8.7 | 19 | ||
| Total airborne emissions SOx | kilotonnes | 3 | 2.4 | 3 | 2.9 | 2.6 | 19 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2040 | 2045 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|
| CO2 intensity of electricity generation | expected to achieve zero | 71 | |||||||||
| Disclose greenhouse gas (GHG) emissions and the related risks | Disclosed | 68 | |||||||||
| Emissions intensity reduction (per unit of processed ore) compared with 2030 peak | % | 60 | 21 | ||||||||
| GHG emissions – scope1 | thousand tonnes | 500 | 470 | 480 | 530 | 360 | 760 | 1070 | 55 | ||
| GHG emissions – scope2 | thousand tonnes | 490 | 510 | 490 | 500 | 560 | 560 | 520 | 55 | ||
| Greenhouse gas emissions intensity | tonnes per tonne of processed ore | 0.028 | 22 | ||||||||
| Intensity of total GHG emissions | tonnes per tonne of processed ore | 0.025 | 0.02 | 0.028 | 0.028 | 55 | |||||
| Scope I direct greenhouse gas emissions | tonnes | 1070000 | 22 | ||||||||
| Scope I greenhouse gas emissions | thousand tonnes | 480 | 530 | 360 | 760 | 1070 | 22 | ||||
| Scope II greenhouse gas emissions | thousand tonnes | 490 | 500 | 560 | 560 | 520 | 22 | ||||
| Scope II indirect greenhouse gas emissions | tonnes | 520000 | 22 | ||||||||
| Total greenhouse gas emissions | thousand tonnes | 990 | 980 | 970 | 1030 | 920 | 1320 | 1590 | 22, 55 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Hazardous waste density | tonnes per processed unit of ore | 0.0004787 | 20 | ||||||
| Hazardous waste generated | kilotonnes | 27 | 20 | ||||||
| Intensity of hazardous waste | tonnes per tonne of processed ore | 1.667x10^-4 | 5.717x10^-4 | 5.634x10^-4 | 4.787x10^-4 | 55 | |||
| Total emissions of hazardous waste | thousand tonnes | 5.2 | 4 | 7 | 7 | 26 | 27 | 27 | 55 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Intensity of non-hazardous waste | tonnes per tonne of processed ore | 4.524x10^-4 | 4.617x10^-4 | 4.174x10^-4 | 4.255x10^-4 | 55 | |||
| Non-hazardous waste density | tonnes per processed unit of ore | 0.0004255 | 20 | ||||||
| Non-hazardous waste generated | kilotonnes | 24 | 20 | ||||||
| Non-hazardous waste recycling rate | % | 35.5 | 20 | ||||||
| Spent catalysts recycled | tonnes | 34.78 | 20 | ||||||
| Tailings | million tonnes | 38 | 38 | 38 | 39 | 43 | 45 | 49 | 55 |
| Tailings generated | megatones | 49 | 20 | ||||||
| Total amount of tailings and waste rock | million tonnes | 120 | 116 | 136 | 150 | 175 | 309 | 381 | 55 |
| Total emissions of non-hazardous waste | thousand tonnes | 15.3 | 11.4 | 16 | 19 | 21 | 20 | 24 | 55 |
| Waste rock generated | megatones | 332 | 20 | ||||||
| Waste rocks | million tonnes | 82 | 78 | 98 | 111 | 132 | 264 | 332 | 55 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2040 | 2045 | 2050 | Report Pages |
|---|---|---|---|---|---|---|
| Absolute emissions reduction compared with 2030 peak | % | 38 | 67 | 21 | ||
| Carbon price (emerging market and developing economies, projected 2050 NZE Scenario) | USD per tonne of carbon dioxide | 200 | 71 | |||
| Carbon reduction short-term goal: Reduce emissions intensity compared with 2022 | t/t processed ore | 0.028 | 12 | |||
| Investment in carbon neutral action plan up to 2050 | billion USD | 1.5 | 21 | |||
| NOx emissions intensity reduction compared with 2020 | t/t processed ore | 0.000055 | 12 | |||
| SOx emissions intensity reduction compared with 2020 | t/t processed ore | 0.0000461 | 12 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Hazardous waste recycling rate | % | 86.9 | 20 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2050 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|
| Direct energy consumption as percentage of total | % | 49.9 | 18 | |||||||
| Direct energy consumption from coal | % | 9.7 | 18 | |||||||
| Direct energy consumption from diesel | % | 72.2 | 18 | |||||||
| Direct energy consumption from natural gas | % | 9.8 | 18 | |||||||
| Direct energy consumption from renewables and alternative energy sources | % | 8.3 | 18 | |||||||
| Indirect energy consumption as percentage of total | % | 50.1 | 18 | |||||||
| Indirect energy consumption from non-renewables (purchased electricity) | % | 26.7 | 18 | |||||||
| Indirect energy consumption from renewables (purchased electricity) | % | 73.3 | 18 | |||||||
| Intensity of energy consumption | MWh per tonne of processed ore | 0.078 | 0.084 | 0.088 | 0.103 | 55 | ||||
| Number of additional electric haulage trucks at Sandaozhuang mine (China) | units | 30 | 23 | |||||||
| Number of fully electric excavators at Sandaozhuang mine (China) | units | 2 | 23 | |||||||
| Renewables share of overall energy consumption | % | 41.4 | 18 | |||||||
| Share of electricity in transport energy consumption (Net Zero Emissions Scenario by 2050) | % | 50 | 72 | |||||||
| Share of energy from renewables | % | 41.4 | 12 | |||||||
| Share of oil in the global energy supply (Net Zero Emissions Scenario by 2050) | % | 8 | 72 | |||||||
| Share of renewables in electricity (Net Zero Emissions Scenario by 2050) | % | 70 | 72 | |||||||
| Total energy consumption | MWh | 2874000 | 3080000 | 3170000 | 3290000 | 3800000 | 4230000 | 5800000 | 18, 55 | |
| Total energy intensity | MWh per tonne of processed ore | 0.103 | 18 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|
| Intensity of water consumption | cubic meters per tonne of processed ore | 3.048 | 2.924 | 2.629 | 3.191 | 55 | ||||
| Proportion of water use from ground water | % | 13.4 | 17 | |||||||
| Proportion of water use from municipal water | % | 0.1 | 17 | |||||||
| Proportion of water use from own operations | % | 79.9 | 17 | |||||||
| Proportion of water use from recycled water | % | 6.6 | 17 | |||||||
| Proportion of water use from surface water | % | 79.9 | 17 | |||||||
| Reduction in wastewater volume at Chinese operations (molybdenum–tungsten recovery facility) | m3 per year | 10800 | 17 | |||||||
| Reuse rate of water | % | 79.9 | 12 | |||||||
| Target proportion of recycled water to total water usage by 2025 | % | 83 | 17 | |||||||
| Total water consumption | million cubic meters, million cubic metres | 121 | 127 | 128 | 128 | 133 | 126 | 180 | 17, 55 | |
| Water use intensity | cubic metres per tonne of processed ore | 3.191 | 17 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Investment in monitoring environmental quality of local water bodies at CMOC Brasil | R$ | 600000 | 17 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020 | 2020 Baseline | 2030 | 2030 SSP1-2.6 | 2030 SSP5-8.5 | 2050 | 2050 SSP1-2.6 | 2050 SSP5-8.5 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|
| Landslide risk - Brazil | Low | Low | Low | Low | Low | 78 | ||||
| Landslide risk - China (Sandaozhuang) | Low | Low | Low | Low | Low | 78 | ||||
| Landslide risk countries (Brazil, China) | Brazil, China | Brazil, China | Brazil, China | 76 | ||||||
| Landslide risk impact | Low | Low | Low | 76 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2020 | 2020 Baseline | 2023 | 2030 | 2030 SSP1-2.6 | 2030 SSP5-8.5 | 2050 | 2050 SSP1-2.6 | 2050 SSP5-8.5 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Drought risk - Brazil | Medium | Medium | Extremely high | High | High | 78 | |||||
| Drought risk - China (Sandaozhuang) | Low | Low | Low | Low | Low | 78 | |||||
| Drought risk countries (DRC, Brazil, China) | DRC, Brazil, China | DRC, Brazil, China | DRC, Brazil, China | 76 | |||||||
| Drought risk impact | Low | Low | Low | 76 | |||||||
| Extreme heat risk - Brazil | Medium | Medium | Medium | Medium | Medium | 78 | |||||
| Extreme heat risk - China (Sandaozhuang) | Medium | Medium | Medium | Medium | Medium | 78 | |||||
| Extreme heat risk countries (DRC, Brazil, China) | DRC, Brazil, China | DRC, Brazil, China | DRC, Brazil, China | 76 | |||||||
| Extreme heat risk impact | Medium | Medium | Medium | 76 | |||||||
| How processes for identifying, assessing, and managing climate-related risks are integrated into the organization's overall risk management | Disclosed | 68 | |||||||||
| Management's role in assessing and managing climate-related risks and opportunities | Disclosed | 68 | |||||||||
| Physical risk - Drought risk level at Donggebi Mine, China | Low | 79 | |||||||||
| Physical risk - Drought risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Low | 79 | |||||||||
| Physical risk - Drought risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Low | 79 | |||||||||
| Physical risk - Drought risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Low | 79 | |||||||||
| Physical risk - Drought risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Low | 79 | |||||||||
| Physical risk - Extreme heat risk level at Donggebi Mine, China | Medium | 79 | |||||||||
| Physical risk - Extreme heat risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Medium | 79 | |||||||||
| Physical risk - Extreme heat risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Medium | 79 | |||||||||
| Physical risk - Extreme heat risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Medium | 79 | |||||||||
| Physical risk - Extreme heat risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Medium | 79 | |||||||||
| Physical risk - Landslide risk level at Donggebi Mine, China | Extremely low | 79 | |||||||||
| Physical risk - Landslide risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Landslide risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Landslide risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Landslide risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Rainfall flood risk level at Donggebi Mine, China | Low | 79 | |||||||||
| Physical risk - Rainfall flood risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Low | 79 | |||||||||
| Physical risk - Rainfall flood risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Low | 79 | |||||||||
| Physical risk - Rainfall flood risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Low | 79 | |||||||||
| Physical risk - Rainfall flood risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Low | 79 | |||||||||
| Physical risk - River flood risk level at Donggebi Mine, China | Extremely low | 79 | |||||||||
| Physical risk - River flood risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Extremely low | 79 | |||||||||
| Physical risk - River flood risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Extremely low | 79 | |||||||||
| Physical risk - River flood risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Extremely low | 79 | |||||||||
| Physical risk - River flood risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Sea level rise height (m) risk level at Donggebi Mine, China | Extremely low | 79 | |||||||||
| Physical risk - Sea level rise height (m) risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Sea level rise height (m) risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Sea level rise height (m) risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Sea level rise height (m) risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Snowmelt risk level at Donggebi Mine, China | Extremely low | 79 | |||||||||
| Physical risk - Snowmelt risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Snowmelt risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Snowmelt risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Snowmelt risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Storm surge risk level at Donggebi Mine, China | Extremely low | 79 | |||||||||
| Physical risk - Storm surge risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Storm surge risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Storm surge risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Storm surge risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Typhoon risk level at Donggebi Mine, China | Extremely low | 79 | |||||||||
| Physical risk - Typhoon risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Typhoon risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Typhoon risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Typhoon risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Wildfire risk level at Donggebi Mine, China | Extremely low | 79 | |||||||||
| Physical risk - Wildfire risk level at Donggebi Mine, China (SSP1–2.6, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Wildfire risk level at Donggebi Mine, China (SSP1–2.6, 2050) | Extremely low | 79 | |||||||||
| Physical risk - Wildfire risk level at Donggebi Mine, China (SSP5–8.5, 2030) | Extremely low | 79 | |||||||||
| Physical risk - Wildfire risk level at Donggebi Mine, China (SSP5–8.5, 2050) | Extremely low | 79 | |||||||||
| Rainfall flood risk - Brazil | Low | Low | Low | Low | Low | 78 | |||||
| Rainfall flood risk - China (Sandaozhuang) | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Rainfall flood risk countries (Brazil, China) | Brazil, China | Brazil, China | Brazil, China | 76 | |||||||
| Rainfall flood risk impact | Low | Low | Low | 76 | |||||||
| River flood risk - Brazil | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| River flood risk - China (Sandaozhuang) | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| River flood risk impact | Extremely low | Extremely low | Extremely low | 76 | |||||||
| Sea level rise risk - Brazil | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Sea level rise risk - China (Sandaozhuang) | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Sea level rise risk impact | Extremely low | Extremely low | Extremely low | 76 | |||||||
| Snowmelt risk - Brazil | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Snowmelt risk - China (Sandaozhuang) | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Snowmelt risk impact | Extremely low | Extremely low | Extremely low | 76 | |||||||
| Storm surge risk - Brazil | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Storm surge risk - China (Sandaozhuang) | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Storm surge risk impact | Extremely low | Extremely low | Extremely low | 76 | |||||||
| The climate-related risks and opportunities the organization has identified | Disclosed | 68 | |||||||||
| The impact of climate-related risks and opportunities on the organization's businesses, strategy, and financial planning | Disclosed | 68 | |||||||||
| The metrics used by the organization to assess climate-related risks and opportunities in line with its strategy and risk management process | Partially disclosed | 68 | |||||||||
| The organization's processes for identifying and assessing climate-related risks | Disclosed | 68 | |||||||||
| The organization's processes for managing climate-related risks | Disclosed | 68 | |||||||||
| The resilience of the organization's strategy | Partially disclosed | 68 | |||||||||
| The targets used by the organization to manage climate-related risks and opportunities and performance against targets | Disclosed | 68 | |||||||||
| Typhoon risk - Brazil | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Typhoon risk - China (Sandaozhuang) | Extremely low | Extremely low | Extremely low | Extremely low | Extremely low | 78 | |||||
| Typhoon risk impact | Extremely low | Extremely low | Extremely low | 76 | |||||||
| Wildfire risk - Brazil | Low | Low | Medium | Low | Medium | 78 | |||||
| Wildfire risk - China (Sandaozhuang) | Low | Low | Low | Low | Low | 78 | |||||
| Wildfire risk countries (DRC, Brazil, China) | DRC, Brazil, China | DRC, Brazil, China | DRC, Brazil, China | 76 | |||||||
| Wildfire risk impact | Medium | Medium | Medium | 76 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Number of employees and contractors by age - 30–50 years old | 14574 | 14761 | 20128 | 18444 | 53 | ||||
| Number of employees and contractors by age - Over 50 years old | 3306 | 3884 | 4779 | 4219 | 25, 53 | ||||
| Number of employees and contractors by age - Under 30 years old | 3760 | 6049 | 8033 | 9972 | 25, 53 | ||||
| Number of employees and contractors by gender - Female | 2971 | 2838 | 3025 | 3081 | 3314 | 3196 | 25, 53 | ||
| Number of employees and contractors by gender - Male | 15615 | 16060 | 18615 | 21613 | 29626 | 29439 | 25, 53 | ||
| Number of employees and contractors by region - Australia | 467 | 431 | 385 | 400 | 25, 53 | ||||
| Number of employees and contractors by region - Brazil | 3880 | 4303 | 4467 | 4764 | 25, 53 | ||||
| Number of employees and contractors by region - China | 6368 | 6054 | 5914 | 5494 | 25, 53 | ||||
| Number of employees and contractors by region - DRC | 10541 | 13478 | 21668 | 21499 | 25, 53 | ||||
| Number of employees and contractors by region - IXM | 384 | 428 | 506 | 478 | 25, 53 | ||||
| Total hours worked at CMOC | hours | 84741321 | 27 | ||||||
| Total number of contractors | 7686 | 8048 | 10684 | 13222 | 20186 | 20640 | 53 | ||
| Total number of employees | 11226 | 10900 | 10850 | 10956 | 11472 | 12754 | 11995 | 53 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|
| Increase in turnover rate among contractors compared to 2022 | percent | 14.2% | 25 | |||
| Number of employees disciplined or dismissed for misconduct | employees | 7 | 51 | |||
| Overall turnover rate among CMOC staff and contractors | percent | 28.4% | 25 | |||
| Turnover rate among contractors | percent | 36.7% | 25 | |||
| Turnover rate among staff | percent | 7.3% | 25 | |||
| Turnover rate of contractors | 22.4% | 22.5% | 36.7% | 53 | ||
| Turnover rate of employees | 24.2% | 8.1% | 5.9% | 7.3% | 53 | |
| Turnover rate of employees and contractors by age - 30–50 years old | 19.7% | 13.4% | 15.1% | 30.2% | 53 | |
| Turnover rate of employees and contractors by age - Over 50 years old | 6.9% | 9.8% | 10.9% | 18.1% | 53 | |
| Turnover rate of employees and contractors by age - Under 30 years old | 16.4% | 25.8% | 21.0% | 28.6% | 53 | |
| Turnover rate of employees and contractors by gender - Female | 9.3% | 10.7% | 12.0% | 13.4% | 53 | |
| Turnover rate of employees and contractors by gender - Male | 26.6% | 17.1% | 16.5% | 29.7% | 53 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Fatal workplace accidents at TFM operation in DRC | fatalities | 3 | 27 |
| Fatal workplace accidents at TFM operation in DRC - contractors | fatalities | 2 | 27 |
| Fatal workplace accidents at TFM operation in DRC - employees | fatalities | 1 | 27 |
| Total Recordable Incident Rate (TRIR) at CMOC | per million hours worked | 0.85 | 27 |
| Total recordable incidents at CMOC | incidents | 72 | 27 |
Lost days due to work injury.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Lost Time Injury Rate (LTIR) at CMOC | per million hours worked | 0.28 | 27 |
| Lost days due to work injury at CMOC | days | 593 | 27 |
| Lost time injuries at CMOC | injuries | 24 | 27 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| ISO 45001 audit rating for niobium HSE system | four-star (Very good) | 27 | |
| ISO 45001 audit rating for phosphorous HSE system | three-star (Good) | 27 | |
| Reported grievances - Health/safety - Brazil | 3 | 11 | |
| Reported grievances - Health/safety - KFM | 4 | 11 | |
| Reported grievances - Health/safety - TFM | 3 | 11 | |
| Reported grievances - Health/safety - Total | 10 | 11 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Compliance training sessions for executive staff | sessions | 39 | 52 |
| Number of management-level staff provided with training | 1400 | 31 | |
| Number of microlectures developed for internal training | 52 | 31 | |
| Number of new training courses developed for management-level staff | 12 | 31 | |
| Number of online courses available on learning platform | 1800 | 31 | |
| Percentage of employees who received training | % | 93.9 | 31 |
| Percentage of female employees who received training | % | 84.5 | 31 |
| Percentage of middle management who received training | % | 91.2 | 31 |
| Percentage of senior management who received training | % | 83.7 | 31 |
| Percentage of staff who received training | % | 94.2 | 31 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Average hours of training per employee | hours | 23.4 | 31 |
| Percentage of male employees who received training | % | 94.9 | 31 |
| Total hours of training logged by employees on online learning platform | hours | 500000 | 31 |
Description of steps taken to eliminate such practices when discovered.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Reported grievances - Human rights - Brazil | 1 | 11 | |
| Reported grievances - Human rights - KFM | 1 | 11 | |
| Reported grievances - Human rights - TFM | 1 | 11 | |
| Reported grievances - Human rights - Total | 3 | 11 | |
| Violation of any laws or regulations regarding child or forced labor at KFM mining site | no violation | 50 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|
| Number of suppliers by region - Africa | 1582 | 1835 | 1329 | 450 | 56 | |
| Number of suppliers by region - Asia | 648 | 794 | 839 | 740 | 56 | |
| Number of suppliers by region - Europe | 152 | 171 | 104 | 32 | 56 | |
| Number of suppliers by region - North America | 420 | 419 | 303 | 19 | 56 | |
| Number of suppliers by region - Oceania | 393 | 751 | 702 | 673 | 56 | |
| Number of suppliers by region - South America | 814 | 1464 | 1365 | 1173 | 56 | |
| Total number of suppliers | 4009 | 5434 | 4642 | 3087 | 56 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| EcoVadis ESG rating for IXM | gold | 49 | |
| EcoVadis ESG rating percentile for IXM in the metal trading industry | top 3% | 49 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Percentage of produced cobalt at TFM and KFM mines using ReSource platform for tracking | percent | 100 | 50 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of employee misconduct cases investigated by Group Anti-Corruption Department | cases | 6 | 51 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Board's oversight of climate-related risks and opportunities | Disclosed | 68 | |
| Number of compliance policies and procedures issued at KFM site | policies | 7 | 52 |
| Reported grievances - Harassment, discrimination and injustice - Brazil | 8 | 11 | |
| Reported grievances - Harassment, discrimination and injustice - NPM | 2 | 11 | |
| Reported grievances - Harassment, discrimination and injustice - TFM | 1 | 11 | |
| Reported grievances - Harassment, discrimination and injustice - Total | 24 | 11 | |
| Reported grievances - Other - Brazil | 6 | 11 | |
| Reported grievances - Other - China | 5 | 11 | |
| Reported grievances - Other - HQ | 1 | 11 | |
| Reported grievances - Other - TFM | 1 | 11 | |
| Reported grievances - Other - Total | 13 | 11 | |
| Reported grievances - Security - China | 2 | 11 | |
| Reported grievances - Security - TFM | 17 | 11 | |
| Reported grievances - Security - Total | 3 | 11 | |
| Reported grievances - Total - Brazil | 46 | 11 | |
| Reported grievances - Total - China | 9 | 11 | |
| Reported grievances - Total - HQ | 1 | 11 | |
| Reported grievances - Total - KFM | 14 | 11 | |
| Reported grievances - Total - NPM | 4 | 11 | |
| Reported grievances - Total - TFM | 771 | 11 | |
| Reported grievances - Total - Total | 845 | 11 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Employees participated in compliance training at CMOC Brasil | employees | 1546 | 52 |
| Employees participated in compliance training at Group headquarters | employees | 91 | 52 |
| Employees participated in compliance training at KFM operation | employees | 540 | 52 |
| Employees participated in compliance training at TFM operation | employees | 2062 | 52 |
| Number of training sessions on business ethics and integrity organized by Anti-Corruption Department | sessions | 11 | 51 |
| Total employees participated in compliance training | employees | 4239 | 52 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Reported grievances - Damages - Brazil | 2 | 11 | |
| Reported grievances - Damages - TFM | 213 | 11 | |
| Reported grievances - Damages - Total | 215 | 11 | |
| Reported grievances - Employment - Brazil | 1 | 11 | |
| Reported grievances - Employment - KFM | 2 | 11 | |
| Reported grievances - Employment - TFM | 93 | 11 | |
| Reported grievances - Employment - Total | 96 | 11 | |
| Reported grievances - Environment - Brazil | 25 | 11 | |
| Reported grievances - Environment - China | 2 | 11 | |
| Reported grievances - Environment - KFM | 2 | 11 | |
| Reported grievances - Environment - NPM | 2 | 11 | |
| Reported grievances - Environment - TFM | 112 | 11 | |
| Reported grievances - Environment - Total | 143 | 11 | |
| Reported grievances - Land - KFM | 1 | 11 | |
| Reported grievances - Land - TFM | 14 | 11 | |
| Reported grievances - Land - Total | 18 | 11 | |
| Reported grievances - Resettlement - KFM | 1 | 11 | |
| Reported grievances - Resettlement - TFM | 314 | 11 | |
| Reported grievances - Resettlement - Total | 315 | 11 | |
| Reported grievances - Social/community - KFM | 3 | 11 | |
| Reported grievances - Social/community - TFM | 2 | 11 | |
| Reported grievances - Social/community - Total | 5 | 11 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Community spending (Total, RMB millions) | RMB millions | 166.2 | 308.4 | 207.5 | 156.4 | 194.9 | 290.4 | 295.6 | 56 |
| Cumulative donations to the county for urban–rural development, economic development, education, health, the environment, and other causes (China operations) | RMB | 220000000 | 34 | ||||||
| Number of people to benefit from new Cahier Des Charges plan (KFM, DRC) | people | 20000 | 34 | ||||||
| SCF contributions from TFM in 2023 | million USD | 9.77 | 34 | ||||||
| TFM community development investment commitment over five-year period (DRC) | million USD | 31 | 34 | ||||||
| TFM operation investment in Social Community Fund (SCF) as % of net revenue | percent | 0.3% | 34 | ||||||
| Total contributions received by SCF from TFM (since inception in 2009 through December 2023) | million USD | 68.83 | 34 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | thousand tonnes | 4.9 | 4.8 | 4.4 | 5.4 | 6.8 | 7 | 8.7 |
| NOâ‚“ Emissions | thousand tonnes | 1.2 | 1.9 | 1.5 | 1.8 | 2.3 | 2.6 | 3.1 |
| PM10 Emissions | kilotonnes | 4.4 | 5.4 | 6.8 | 7 | 8.7 | ||
| SOâ‚“ Emissions | thousand tonnes | 3.6 | 3.5 | 3 | 2.4 | 3 | 2.9 | 2.6 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | thousand tonnes | 500 | 470 | 480 | 530 | 360 | 760 | 1070 |
| Indirect Energy Emissions (Scope 2) | thousand tonnes | 490 | 510 | 490 | 500 | 560 | 560 | 520 |
| Total GHG Emissions | thousand tonnes | 990 | 980 | 970 | 1030 | 920 | 1320 | 1590 |
| Total GHG Emissions Intensity (By Product Volume) | tonnes per tonne of processed ore | 0.025 | 0.02 | 0.028 | 0.028 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|
| Total Hazardous Waste | thousand tonnes | 5.2 | 4 | 7 | 7 | 26 | 27 | 27 |
| Total Hazardous Waste Intensity (By Unit Product) | tonnes per tonne of processed ore | 0.0001667 | 0.0005717 | 0.0005634 | 0.0004787 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Recycling Rate of Non-Hazardous Waste | % | 35.5 | |||
| Total Non-Hazardous Waste Intensity (By Unit Product) | tonnes per processed unit of ore | 0.0004524 | 0.0004617 | 0.0004174 | 0.0004255 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| NOx Emissions Reduction Compared to Last Year | t/t processed ore | 0.000055 |
| Reduction in GHG Intensity Compared to Last Year (By Unit Product) | t/t processed ore | 0.028 |
| SOx Emissions Reduction Compared to Last Year | t/t processed ore | 0.0000461 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|
| Energy Consumption Intensity (By Unit Product) | MWh per tonne of processed ore | 0.078 | 0.084 | 0.088 | 0.103 | |||
| Percentage of Renewable Energy Consumption | % | 41.4 | ||||||
| Total Direct Energy Consumption | MWh | 2894200 | ||||||
| Total Energy Consumption | MWh | 2874000 | 3080000 | 3170000 | 3290000 | 3800000 | 4230000 | 5800000 |
| Total Indirect Energy Consumption | MWh | 2905800 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 |
|---|---|---|---|---|---|---|---|---|---|
| Groundwater Consumption | % | 13.4 | |||||||
| Municipal Water Consumption | % | 0.1 | |||||||
| Recycled Water Percentage | % | 6.6 | 83 | ||||||
| Recycled Water Usage | % | 79.9 | |||||||
| Surface Water Consumption | % | 79.9 | |||||||
| Water Consumption | million cubic meters | 121 | 127 | 128 | 128 | 133 | 126 | 180 | |
| Water Withdrawal Intensity | cubic meters per tonne of processed ore | 3.048 | 2.924 | 2.629 | 3.191 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh |
| Energy Consumption Reduction Percentage Compared to Last Year | percent |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|
| Number of Contractors | 7686 | 8048 | 10684 | 13222 | 20186 | 20640 | ||
| Number of Employees Aged 30-50 | 14574 | 14761 | 20128 | 18444 | ||||
| Number of Employees Aged Above 50 | 3306 | 3884 | 4779 | 4219 | ||||
| Number of Employees Aged Below 30 | 3760 | 6049 | 8033 | 9972 | ||||
| Number of Employees in Australia | 400 | |||||||
| Number of Employees in Mainland China | 5494 | |||||||
| Number of Female Employees | 2971 | 2838 | 3025 | 3081 | 3314 | 3196 | ||
| Number of Male Employees | 15615 | 16060 | 18615 | 21613 | 29626 | 29439 | ||
| Number of Total Employees | 11226 | 10900 | 10850 | 10956 | 11472 | 12754 | 11995 | |
| Percentage of Female Employees | % | 27.25 | 26.17 | 27.61 | 26.86 | 25.99 | 26.65 | |
| Percentage of Male Employees | % | 143.17 | 148.09 | 169.94 | 188.47 | 232.28 | 245.37 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Turnover Rate of Contractors | percent | 22.4 | 22.5 | 36.7 | |
| Turnover Rate of Employees Aged 30-50 | percent | 19.7 | 13.4 | 15.1 | 30.2 |
| Turnover Rate of Employees Aged Above 50 | percent | 6.9 | 9.8 | 10.9 | 18.1 |
| Turnover Rate of Employees Aged Below 30 | percent | 16.4 | 25.8 | 21 | 28.6 |
| Turnover Rate of Female Employees | percent | 9.3 | 10.7 | 12 | 13.4 |
| Turnover Rate of Male Employees | percent | 26.6 | 17.1 | 16.5 | 29.7 |
| Turnover Rate of Total Employees | percent | 24.2 | 8.1 | 5.9 | 7.3 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Work-related Fatalities | fatalities | 3 |
| Number of Work-related Fatalities for Contractors | fatalities | 2 |
| Number of Work-related Fatalities for Direct Employee | fatalities | 1 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 593 |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | per million hours worked | 0.28 |
| Number of Work-related Injuries | injuries | 24 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | % | 93.9 |
| Percentage of Trained Female Employees | % | 84.5 |
| Percentage of Trained Male Employees | % | 94.9 |
| Percentage of Trained Middle Management | % | 91.2 |
| Percentage of Trained Senior Management | % | 83.7 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Average Training Hours (General Staff) | hours | 23.5 |
| Average Training Hours (Middle Management) | hours | 34.425 |
| Average Training Hours (Senior Management) | hours | 11.925 |
| Average Training Hours per Employee | hours | 23.4 |
| Total Training Hours | hours | 500000 |
Description of steps taken to eliminate such practices when discovered.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Labour-related Complaints | 3 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Number of Suppliers in Africa | 1582 | 1835 | 1329 | 450 | |
| Number of Suppliers in Asia (Excluding China) | 648 | 794 | 839 | 740 | |
| Number of Suppliers in Europe | 152 | 171 | 104 | 32 | |
| Number of Suppliers in North America | 420 | 419 | 303 | 19 | |
| Number of Suppliers in Oceania | 393 | 751 | 702 | 673 | |
| Number of Suppliers in South America | 814 | 1464 | 1365 | 1173 | |
| Number of Total Suppliers | 4009 | 5434 | 4642 | 3087 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Anti-corruption Training Session | sessions | 11 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | employees | 4239 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|---|---|
| Total Public Welfare Donations | RMB | 220000000 | ||||||
| Total Social Investment | RMB | 166200000 | 308400000 | 207500000 | 156400000 | 194900000 | 290400000 | 295600000 |