SUSTAINABILITY REPORT 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Air emissions - Benzo(a)pyrene | thousand tonnes | 0.0004 | 0.0039 | 0.0041 | 99 |
| Air emissions - Carbon Monoxide (CO) | thousand tonnes | 223.2 | 232.2 | 238.7 | 99 |
| Air emissions - Other emissions | thousand tonnes | 8.4 | 8.4 | 8.7 | 99 |
| Air emissions - PM (except fibroid, tarry substances, B(a)P) | thousand tonnes | 37.6 | 37.3 | 36.3 | 99 |
| Air emissions - Sulphur dioxide (SO2) | thousand tonnes | 36.4 | 42 | 40.1 | 99 |
| Air emissions - Sum of nitric oxides as nitrogen dioxide (NO2) | thousand tonnes | 19.6 | 19.5 | 19.7 | 99 |
| Air emissions - Total | thousand tonnes | 347.6 | 333.8 | 352.4 | 99 |
| Air emissions - Total fluorides (gaseous and solid fluoride) | thousand tonnes | 6.4 | 6.6 | 6.6 | 99 |
| Air emissions - Volatile organic compounds (VOCs) | thousand tonnes | 1.6 | 1.6 | 1.5 | 99 |
| GHG emissions N2O by component | tonnes CO2e | 49099 | 51450 | 57229 | 80 |
| GHG emissions perfluorocarbons by component | tonnes CO2e | 1625800 | 1474391 | 1506456 | 80 |
| Seawater - industrial wastewater discharge | million cubic metres | 22.9 | 22.8 | 98 | |
| Surface water - industrial wastewater discharge | million cubic metres | 56.4 | 34.7 | 34.3 | 98 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| ALLOW aluminium carbon footprint (independently verified) | tonnes CO2e/t Al | ≤4 | 80 | ||
| Average of specific direct and indirect GHG emissions per tonne of CO2 equivalent per tonne of aluminium | tonnes CO2e/tonne aluminium | 2 | 79 | ||
| Direct (Scope 1) GHG emissions - Aluminium Division | tonnes CO2e | 8727655 | 8819639 | 8915130 | 100 |
| Direct (Scope 1) GHG emissions - Other production | tonnes CO2e | 15132774 | 17255741 | 17865621 | 100 |
| Direct (scope 1) GHG emissions | tonnes CO2e | 23864929 | 26075380 | 26780751 | 80 |
| Direct specific greenhouse gas emissions (Scope 1) at aluminium smelters in 2020 | t CO2e/t Al | 1.84 | 14 | ||
| Direct specific greenhouse gas emissions (Scope 1) at aluminium smelters in 2020 compared to 2011 | -13% | 14 | |||
| GHG emissions CH4 by component | tonnes CO2e | 21998 | 22420 | 22936 | 80 |
| GHG emissions CO2 by component | tonnes CO2e | 22168033 | 24527119 | 25194129 | 80 |
| Indirect (Scope 2) GHG emissions - Aluminium Division | tonnes CO2e | 877668 | 748960 | 736580 | 100 |
| Indirect (Scope 2) GHG emissions - Other production | tonnes CO2e | 1117081 | 1289901 | 1086827 | 100 |
| Indirect (scope 2) GHG emissions | tonnes CO2e | 1994749 | 2038861 | 1806963 | 80 |
| Indirect (scope 3) GHG emissions | tonnes CO2e | 11437789 | 11057411 | 10202103 | 80 |
| RUSAL specific GHG emissions per million revenue | tonnes CO2e per million USD | 3628 | 4034 | 4507 | 80 |
| RUSAL total (scope 1, 2 & 3) GHG emissions | tonnes CO2e | 37297467 | 39177764 | 38609817 | 80 |
| Reduction in specific GHG emissions at aluminium production capacities | % | 11 | 4 | ||
| Reduction in specific GHG emissions in existing alumina smelters compared to 2014 level | % | 2.4 | 79 | ||
| Reduction in specific GHG emissions in existing aluminium smelters compared to 2014 level | % | 11 | 79 | ||
| Specific GHG emissions (Direct Scope 1 GHG emissions in electrolysis operations per tonne of aluminium produced) | tonnes CO2e | 2.11 | 2.03 | 2.04 | 100 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Bauxite residue and nepheline mud from alumina production - Disposed | million tonnes | 11.3 | 11.6 | 13.4 | 99 |
| Bauxite residue and nepheline mud from alumina production - Generated | million tonnes | 12.6 | 12.8 | 14.4 | 99 |
| Hazardous waste - Disposed | million tonnes | 0.1 | 0.1 | 0.1 | 99 |
| Hazardous waste - Generated | million tonnes | 0.3 | 0.3 | 0.3 | 99 |
| Industrial discharges, Nominally clean | million cubic metres | 0.3 | 0.3 | 65 | |
| Industrial discharges, Polluted | million cubic metres | 15.4 | 22 | 21.5 | 65 |
| Industrial discharges, Treated | million cubic metres | 18.1 | 12 | 12.5 | 65 |
| PCB waste disposed | tonnes | 5 | 66 | ||
| Red and nepheline mud disposed | million tonnes | 11.3 | 11.6 | 13.4 | 66 |
| Red and nepheline mud generated | million tonnes | 12.6 | 12.8 | 14.4 | 66 |
| Sludge volume | million tonnes | 66.5 | 66.7 | 71.4 | 99 |
| Spent pot lining ASI PS 6.7 - Generated | thousand tonnes | 48.1 | 41.6 | 38.2 | 99 |
| Spent pot lining generated | thousand tonnes | 48.1 | 41.6 | 38.2 | 66 |
| Tailings volume | million tonnes | 429 | 471.5 | 482.9 | 99 |
| Total accumulation of waste | million tonnes | 1089.8 | 66 | ||
| Total volume of mineral processing waste | million tonnes | 14 | 14 | 16.1 | 99 |
| Total volumes of accumulated overburden and rock, tailings and sludge | million tonnes | 746.7 | 812.5 | 951.9 | 99 |
| Waste management, excluding overburden rocks - Disposed | million tonnes | 11.7 | 12.1 | 13.8 | 99 |
| Waste management, excluding overburden rocks - Generated | million tonnes | 14 | 14 | 16.1 | 99 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Accumulation of non-hazardous waste - Other | million tonnes | 105.2 | 66 | ||
| Accumulation of non-hazardous waste - Overburden | million tonnes | 469 | 66 | ||
| Accumulation of non-hazardous waste - Red and nepheline mud | million tonnes | 482.9 | 66 | ||
| Accumulation of non-hazardous waste - Spent pot lining | million tonnes | 0.6 | 66 | ||
| Accumulation of non-hazardous waste on 31 December | million tonnes | 939 | 1030 | 1057.8 | 99 |
| Non-hazardous waste - Disposed | million tonnes | 11.9 | 12 | 13.7 | 99 |
| Non-hazardous waste - Generated | million tonnes | 13.8 | 13.7 | 15.9 | 99 |
| Non-hazardous waste - Recycled | million tonnes | 1.9 | 1.8 | 2 | 99 |
| Overburden volumes | million tonnes | 317.6 | 341 | 469 | 99 |
| Percentage of waste from mineral processing sent for recycling | % | 14.6 | 14.4 | 13.6 | 99 |
| Red and nepheline mud recycled | million tonnes | 1.3 | 1.2 | 1.1 | 66 |
| Total amount of waste in tailing dumps formed by the enterprise during the reporting period | million tonnes | 11.7 | 11.6 | 13.8 | 99 |
| Volumes of formed overburden and rock, tailings and sludge - Overburden volumes | million tonnes | 53.9 | 53.9 | 57 | 99 |
| Volumes of formed overburden and rock, tailings and sludge - Tailings volume | million tonnes | 12.6 | 12.8 | 14.4 | 99 |
| Waste management, excluding overburden rocks - Recycled | million tonnes | 2 | 2 | 2.2 | 99 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total monetary value of fines for non-compliance with environmental legislation | USD thousand | 17.6 | 5 | 34.2 | 98 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Bauxite residue and nepheline mud from alumina production - Recycled | million tonnes | 1.3 | 1.2 | 1.1 | 99 |
| Hazardous waste - Recycled | million tonnes | 0.2 | 0.2 | 0.2 | 99 |
| Percentage of tailings sent for recycling | % | 10.1 | 9.5 | 7.4 | 99 |
| Spent pot lining ASI PS 6.7 - Disposed | thousand tonnes | 13.5 | 10.2 | 8.5 | 99 |
| Spent pot lining ASI PS 6.7 - Recycled | thousand tonnes | 29.2 | 32.6 | 31.1 | 99 |
| Spent pot lining disposed | thousand tonnes | 29.2 | 32.6 | 31.1 | 66 |
| Spent pot lining recycled | thousand tonnes | 13.3 | 10.2 | 8.5 | 66 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Coal consumption | million tonnes | 3.59 | 3.47 | 3.62 | 84, 100 |
| Diesel consumption | million tonnes | 0.09 | 0.1 | 0.09 | 84, 100 |
| Electricity consumption | GJ, million GJ, million MWh | 65 | 67 | 67 | 84, 100 |
| Fuel from non-renewable sources consumption | GJ | 196424366 | 201326833 | 211777076 | 84 |
| Heat consumption | GJ, million GJ, million Gcal | 0.8 | 3111020 | 2939793 | 84, 100 |
| Heavy fuel consumption | million tonnes | 0.42 | 0.57 | 0.61 | 100 |
| Heavy oil consumption | million tonnes | 0.42 | 0.57 | 0.61 | 84 |
| Natural gas consumption | billion cubic m | 2.9 | 2.92 | 3.1 | 84, 100 |
| Other fuel consumption | million tonnes | 0.1 | 0.08 | 0.04 | 84, 100 |
| Reduction of average specific electric power consumption by aluminium smelters compared to 2011 level | % | 4 | 79 | ||
| Share of electricity from fossil fuels in aluminium smelters | % | 0.05 | 79 | ||
| Share of electricity from hydropower in aluminium smelters | % | 98.5 | 79 | ||
| Share of electricity from nuclear power in aluminium smelters | % | 0.98 | 79 | ||
| Share of electricity from wind in aluminium smelters | % | 0.6 | 79 | ||
| Share of fossil fuels in energy mix at RUSAL aluminium smelters | % | 0.9 | 84 | ||
| Share of hydropower in energy mix at RUSAL aluminium smelters | % | 98.5 | 84 | ||
| Share of nuclear in energy mix at RUSAL aluminium smelters | % | 0.02 | 84 | ||
| Share of wind in energy mix at RUSAL aluminium smelters | % | 0.6 | 84 | ||
| Total consumption of non-renewable energy sources (fuel) | million GJ | 196.4 | 203.1 | 211.8 | 100 |
| Total energy consumption from fuel by RUSAL | mln GJ | 196.4 | 201 | 211 | 84 |
| Total fuel consumption | million GJ | 435.4 | 445.5 | 456.3 | 100 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Alumina Division freshwater consumption | million cubic metres | 82.5 | 93.6 | 93 | 98 |
| Aluminium Division freshwater consumption | million cubic metres | 19.8 | 17.9 | 19.5 | 98 |
| Downstream Division freshwater consumption | million cubic metres | 0.5 | 0.2 | 0.5 | 98 |
| Fresh water consumption | million cubic metres | 113.6 | 65 | ||
| Freshwater use directly for production | cubic metres per tonne of aluminium | 27.6 | 65 | ||
| Freshwater used for production needs | million cubic metres | 80 | 94.2 | 103.8 | 98 |
| General water input (only freshwater) | million cubic metres | 147.5 | 155 | 154 | 98 |
| Groundwater input | million cubic metres | 14.9 | 13.7 | 20.7 | 98 |
| Industrial wastewater discharges into surface water | million cubic metres | 34.7 | 34.2 | 65 | |
| Intensity of freshwater consumption across entire aluminium production chain | cubic metres per tonne of aluminium | 30.3 | 65 | ||
| Intensity of freshwater use at aluminium smelters | cubic metres per tonne of aluminium produced | 5.2 | 65 | ||
| New Projects Directorate freshwater consumption | million cubic metres | 1.4 | 0.8 | 0.6 | 98 |
| Other water input | million cubic metres | 13.5 | 12.8 | 5.4 | 98 |
| Surface water input | million cubic metres | 102 | 110.8 | 110.1 | 98 |
| Total freshwater withdrawal | million cubic metres | 147.5 | 155 | 154 | 65 |
| Total volume of freshwater consumption | million cubic metres | 101.1 | 112.5 | 113.6 | 98 |
| Total volume of industrial wastewater discharged into surface water sources | million cubic metres | 56.4 | 59.8 | 61.6 | 98 |
| Urban networks - industrial wastewater discharge | million cubic metres | 2.2 | 4.5 | 98 | |
| Urban networks input | million cubic metres | 17.1 | 17.7 | 17.7 | 98 |
| Water - Nominally clean | thousand cubic metres | 2.3 | 267.6 | 253 | 99 |
| Water - Polluted | thousand cubic metres | 15448.3 | 22002.9 | 21532.5 | 99 |
| Water - Treated | thousand cubic metres | 18107.9 | 12436.6 | 12462.6 | 99 |
| Water withdrawal, Ground water | million cubic metres | 20.7 | 65 | ||
| Water withdrawal, Other | million cubic metres | 5.4 | 65 | ||
| Water withdrawal, Public network | million cubic metres | 17.7 | 65 | ||
| Water withdrawal, Seawater | million cubic metres | 22.8 | 65 | ||
| Water withdrawal, Surface water | million cubic metres | 110.1 | 65 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Reduction of the average electricity consumption at aluminium smelters | % | 4 | 4 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Share of circulating and recycled water supply | %, percent | 92.6 | 4, 65 | ||
| Share of circulating and recycled water supply in 2020 | 92.6% | 14 | |||
| Share of circulating and recycling of the water supply | % | 93.3 | 93.2 | 92.6 | 98 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | 2018-2020 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Land - Disturbed | hectares | 204.6 | 685.6 | 1563.1 | 99 | |
| Land - Rehabilitated | hectares | 53.5 | 18.6 | 48.3 | 99 | |
| Low-carbon ALLOW aluminium sold | kt | Over 500 | 4 | |||
| Number of production facilities certified under ISO 14001 | out of 18 | 16 | 4 | |||
| Number of tailings impoundments, breakdown by MSHA hazard potential | tailings impoundments | 28 | 114 | |||
| Total number of cases brought through dispute resolution in connection with violation of environmental legislation | number | 3 | 4 | 98 | ||
| Trees planted in Irkutsk Region at 28 hectares | 112000 | 4 | ||||
| USD million spent on environmental protection in 2020 | million USD | 88.4 | 14 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average headcount | number | 64057 | 54981 | 53335 | 100 |
| Average number of employees | 56150 | 4 | |||
| Employees 30-50 years old | number | 40473 | 33176 | 34949 | 101 |
| Employees 30-50 years old in Other countries | number | 381 | 1052 | 457 | 100 |
| Employees 30-50 years old in Russia | number | 4831 | 3799 | 3796 | 100 |
| Employees in Armenia | number | 673 | 664 | 679 | 100 |
| Employees in Guinea | number | 2741 | 3754 | 3832 | 100 |
| Employees in Guyana | number | 542 | 510 | 100 | |
| Employees in Ireland | number | 459 | 459 | 469 | 100 |
| Employees in Jamaica | number | 1108 | 1124 | 1161 | 100 |
| Employees in Other countries | number | 507 | 490 | 609 | 100 |
| Employees in Russia | number | 8932 | 43305 | 46019 | 100 |
| Employees in Sweden | number | 486 | 461 | 496 | 100 |
| Employees in Ukraine | number | 2879 | 2887 | 2885 | 100 |
| Employees over 50 years old | number | 15094 | 11966 | 12829 | 101 |
| Employees over 50 years old in Other countries | number | 77 | 163 | 99 | 100 |
| Employees over 50 years old in Russia | number | 680 | 628 | 642 | 100 |
| Employees under 30 years old | number | 10842 | 8512 | 8372 | 101 |
| Employees under 30 years old in Other countries | number | 322 | 694 | 362 | 100 |
| Employees under 30 years old in Russia | number | 3421 | 2766 | 2367 | 100 |
| Established minimum wage in Guinea | USD | 46 | 56 | ||
| Established minimum wage in Guyana | USD | 210 | 56 | ||
| Established minimum wage in Jamaica | USD | 225 | 56 | ||
| Established minimum wage in Nigeria | USD | 84 | 56 | ||
| Established minimum wage in Republic of Armenia | USD | 185 | 56 | ||
| Established minimum wage in Russia | USD | 168 | 56 | ||
| Established minimum wage in Ukraine | USD | 185 | 56 | ||
| Fixed term employment contract | number | 3875 | 4422 | 4748 | 101 |
| Fixed term employment contract, Female | number | 1134 | 1146 | 1322 | 101 |
| Fixed term employment contract, Male | number | 2741 | 3276 | 3426 | 101 |
| Full-time employees in Russia | number | 56863 | 23165 | 45860 | 102 |
| Full-time employees in other countries | number | 8891 | 9847 | 9601 | 102 |
| Full-time employees, including | number | 65754 | 53012 | 55461 | 102 |
| Full-time female employees in Russia | number | 13928 | 11534 | 12454 | 102 |
| Full-time female employees in other countries | number | 1235 | 1274 | 1257 | 102 |
| Full-time male employees in Russia | number | 42935 | 31631 | 33406 | 102 |
| Full-time male employees in other countries | number | 7656 | 8573 | 8344 | 102 |
| Gender pay ratio, average wages of men in relation to the average wages of women in Russia | coefficient | n/a | n/a | 1.9 | 102 |
| Gender pay ratio, average wages of men in relation to the average wages of women in other countries | coefficient | n/a | n/a | 2 | 102 |
| Gender pay ratio, middle managers in Russia | coefficient | n/a | n/a | 1.2 | 102 |
| Gender pay ratio, middle managers in other countries | coefficient | n/a | n/a | 1.9 | 102 |
| Gender pay ratio, senior managers in Russia | coefficient | n/a | n/a | 2 | 102 |
| Gender pay ratio, senior managers in other countries | coefficient | n/a | n/a | 2.6 | 102 |
| Gender pay ratio, specialists in Russia | coefficient | n/a | n/a | 1.3 | 102 |
| Gender pay ratio, specialists in other countries | coefficient | n/a | n/a | 1.3 | 102 |
| Gender pay ratio, workers in Russia | coefficient | n/a | n/a | 1.3 | 102 |
| Gender pay ratio, workers in other countries | coefficient | n/a | n/a | 1.3 | 102 |
| Headcount of employees at the end of the year | persons | 66409 | 53564 | 56150 | 52 |
| Income from financial investment | USD million | 955 | 1669 | 976 | 98 |
| Income from the sale of assets | USD million | 32 | 45 | 33 | 98 |
| Indefinite term employment contract | number | 62534 | 49232 | 51402 | 101 |
| Indefinite term employment contract, Female | number | 14168 | 11815 | 12558 | 101 |
| Indefinite term employment contract, Male | number | 48438 | 37417 | 38844 | 101 |
| Middle managers | number | 4783 | 4405 | 4268 | 101 |
| Middle managers 30-50 years old | number | 3194 | 2678 | 2845 | 101 |
| Middle managers over 50 years old | number | 1437 | 1232 | 1302 | 101 |
| Middle managers under 30 years old | number | 152 | 125 | 121 | 101 |
| Number of employees with COVID-19 | 6042 | 56 | |||
| Number of factories located in 13 countries | 43 | 4 | |||
| Number of hours worked - RUSAL | million man-hours | 102.5 | 86.7 | 84 | 103 |
| Number of new employee hires | number | 9712 | 9282 | 7723 | 100 |
| Part-time employees in Russia | number | 151 | 140 | 159 | 102 |
| Part-time employees in other countries | number | 504 | 502 | 530 | 102 |
| Part-time employees, including | number | 655 | 642 | 689 | 102 |
| Part-time female employees in Russia | number | 74 | 63 | 72 | 102 |
| Part-time female employees in other countries | number | 83 | 90 | 97 | 102 |
| Part-time male employees in Russia | number | 77 | 77 | 87 | 102 |
| Part-time male employees in other countries | number | 421 | 412 | 433 | 102 |
| Payments to capital providers | USD million | 501 | 589 | 462 | 98 |
| Percentage of employees 30-50 years old | % | 60.9 | 61.8 | 62.2 | 101 |
| Percentage of employees covered by collective agreements (GRI 102-41, SASB EM-MM-310a.1, ASI 9.10.16) | % | 87.7 | 83.1 | 85.5 | 101 |
| Percentage of employees over 50 years old | % | 22.7 | 22.3 | 22.8 | 101 |
| Percentage of employees under 30 years old | % | 16.3 | 15.9 | 14.9 | 101 |
| Percentage of employees with fixed term employment contract | % | 5.8 | 8.4 | 8.5 | 101 |
| Percentage of employees with fixed term employment contract in Russia | % | 3.5 | 3.8 | 4.4 | 101 |
| Percentage of employees with fixed term employment contract in other countries | % | 20 | 26.7 | 26.8 | 102 |
| Percentage of employees with indefinite term employment contract | % | 94.2 | 91.8 | 91.5 | 101 |
| Percentage of employees with indefinite term employment contract in Russia | % | 96.5 | 96.2 | 95.6 | 101 |
| Percentage of employees with indefinite term employment contract in other countries | % | 80 | 73.3 | 73.2 | 101 |
| Percentage of female employees | % | 23.1 | 24.2 | 24.7 | 101 |
| Percentage of female middle managers | % | 17.9 | 19.3 | 20.1 | 101 |
| Percentage of female senior managers | % | 14.8 | 15.3 | 16.6 | 101 |
| Percentage of female specialists | % | 54.6 | 55.8 | 56.6 | 101 |
| Percentage of female workers | % | 18.7 | 19.8 | 20.3 | 101 |
| Percentage of full-time employees | % | 99 | 98.8 | 98.8 | 102 |
| Percentage of full-time employees in Russia | % | 99.7 | 99.7 | 99.7 | 102 |
| Percentage of full-time employees in other countries | % | 94.6 | 95.1 | 94.8 | 102 |
| Percentage of new employee hires | % | 14.6 | 17.3 | 13.8 | 100 |
| Percentage of new employee hires - Female | % | 21.7 | 22.9 | 24.4 | 100 |
| Percentage of new employee hires - Male | % | 78.3 | 77.1 | 75.6 | 100 |
| Percentage of part-time employees | % | 1 | 1.2 | 1.2 | 102 |
| Percentage of part-time employees in Russia | % | 0.3 | 0.3 | 0.3 | 102 |
| Percentage of part-time employees in other countries | % | 5.4 | 4.9 | 5.2 | 102 |
| Proportion of senior management hired from the local community in Russia | % | 99.8 | 99.8 | 99.8 | 102 |
| Proportion of senior management hired from the local community in other countries | % | 64.9 | 63 | 61.6 | 102 |
| Proportion of senior management hired from the local community, total | % | 90.3 | 89.9 | 90.3 | 102 |
| Rusal minimum entry level salaries compared to the regional minimum in Armenia | coefficient | 1.4 | 2.9 | 2.3 | 102 |
| Rusal minimum entry level salaries compared to the regional minimum in Guinea | coefficient | 1.6 | 1.6 | 1.5 | 102 |
| Rusal minimum entry level salaries compared to the regional minimum in Guyana | coefficient | 2.3 | 2.3 | 1 | 102 |
| Rusal minimum entry level salaries compared to the regional minimum in Jamaica | coefficient | 1.4 | 1.4 | 1.5 | 102 |
| Rusal minimum entry level salaries compared to the regional minimum in Nigeria | coefficient | 2.5 | 2.4 | 1.7 | 102 |
| Rusal minimum entry level salaries compared to the regional minimum in Russia | coefficient | 1.8 | 1.8 | 1.1 | 102 |
| Rusal minimum entry level salaries compared to the regional minimum in Ukraine | coefficient | 1 | 1.2 | 1 | 102 |
| Rusal minimum entry level salaries in Armenia | USD | 200 | 436 | 435 | 102 |
| Rusal minimum entry level salaries in Guinea | USD | 74 | 73 | 70 | 102 |
| Rusal minimum entry level salaries in Guyana | USD | 546 | 571 | 210 | 102 |
| Rusal minimum entry level salaries in Jamaica | USD | 339 | 325 | 331 | 102 |
| Rusal minimum entry level salaries in Nigeria | USD | 145 | 140 | 150 | 102 |
| Rusal minimum entry level salaries in Russia | USD | 492 | 459 | 180 | 102 |
| Rusal minimum entry level salaries in Ukraine | USD | 190 | 219 | 185 | 102 |
| Salaries and other payments and benefits to employees | USD million | 739 | 824 | 784 | 98 |
| Senior managers | number | 634 | 609 | 643 | 101 |
| Senior managers 30-50 years old | number | 382 | 373 | 406 | 101 |
| Senior managers over 50 years old | number | 246 | 232 | 234 | 101 |
| Senior managers under 30 years old | number | 6 | 4 | 3 | 101 |
| Share of employees are women | % | 25 | 4 | ||
| Share of employees covered by collective agreements | % | 85.5 | 4 | ||
| Share of employees covered by the management system in 2020 | 91.8% | 14 | |||
| Share of employees working in Russia | % | 82% | 52 | ||
| Share of employees working under permanent contracts | % | 99% | 52 | ||
| Share of male employees | % | 75% | 52 | ||
| Share of part-time employees and freelancers | % | 1% | 52 | ||
| Specialists | number | 8245 | 6662 | 6974 | 101 |
| Specialists 30-50 years old | number | 5253 | 4223 | 4503 | 101 |
| Specialists over 50 years old | number | 1815 | 1454 | 1549 | 101 |
| Specialists under 30 years old | number | 1177 | 985 | 922 | 101 |
| Standard entry level wage rate for employees in Guinea | USD | 70 | 56 | ||
| Standard entry level wage rate for employees in Guyana | USD | 210 | 56 | ||
| Standard entry level wage rate for employees in Jamaica | USD | 435 | 56 | ||
| Standard entry level wage rate for employees in Nigeria | USD | 150 | 56 | ||
| Standard entry level wage rate for employees in Republic of Armenia | USD | 190 | 56 | ||
| Standard entry level wage rate for employees in Russia | USD | 180 | 56 | ||
| Standard entry level wage rate for employees in Ukraine | USD | 185 | 56 | ||
| Students from Guinea and Tajikistan studying at educational institutions in Russia in 2020 | students | 75 | 14 | ||
| Students from Guinea and Tajikistan who graduated from the Siberian Federal University and the Krasnoyarsk Industrial Technical School in 2020 | students | 40 | 14 | ||
| Total Company headcount at the end of the year | persons | 56150 | 52 | ||
| Total number of employees in Guinea | persons | 3832 | 52 | ||
| Total number of employees in Ireland | persons | 469 | 52 | ||
| Total number of employees in Jamaica | persons | 1161 | 52 | ||
| Total number of employees in Other countries | persons | 609 | 52 | ||
| Total number of employees in Republic | persons | 679 | 52 | ||
| Total number of employees in Russia | persons | 46019 | 52 | ||
| Total number of employees in Sweden | persons | 496 | 52 | ||
| Total number of employees in Ukraine | persons | 2885 | 52 | ||
| Total workforce at the end of the reporting period | number | 66409 | 53564 | 56150 | 100 |
| Workers | number | 52747 | 42438 | 44265 | 101 |
| Workers 30-50 years old | number | 31644 | 25902 | 27195 | 101 |
| Workers over 50 years old | number | 11596 | 9048 | 9744 | 101 |
| Workers under 30 years old | number | 9507 | 7398 | 7326 | 101 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover | % | 13.5% | 40.2% | 10.9% | 52 |
| Employee turnover at Russian enterprises | % | 10.8% | 52 | ||
| Employee turnover at enterprises of other countries | % | 11.8% | 52 | ||
| Employee turnover in Russian facilities | % | 36.9% | 52 | ||
| Employee turnover in foreign facilities | % | 2.8% | 52 | ||
| Overall staff turnover at RUSAL | % | 10.9% | 52 | ||
| Staff turnover at RUSAL (men) | % | 11.1% | 52 | ||
| Staff turnover at RUSAL (women) | % | 10.5% | 52 | ||
| Turnover rate (GRI 401-1, KPI B1.2) | % | 13.5 | 40.2 | 10.9 | 101 |
| Turnover rate in Russia, 30-50 years old | % | 10.1 | 33.9 | 9.2 | 101 |
| Turnover rate in Russia, 30-50 years old, Male | % | 12.1 | 46.5 | 8.8 | 101 |
| Turnover rate in Russia, Female | % | 13 | 37 | 10.8 | 101 |
| Turnover rate in Russia, Male | % | 14.7 | 51.6 | 10.8 | 101 |
| Turnover rate in Russia, including | % | 14.3 | 47.7 | 10.8 | 101 |
| Turnover rate in Russia, over 50 years old | % | 17.9 | 42 | 10.8 | 101 |
| Turnover rate in Russia, over 50 years old, Male | % | 19.8 | 65.5 | 12.4 | 101 |
| Turnover rate in Russia, under 30 years old | % | 17.9 | 43.7 | 20 | 101 |
| Turnover rate in Russia, under 30 years old, Male | % | 18.2 | 55.5 | 16.3 | 101 |
| Turnover rate in other countries, 30-50 years old | % | 6 | 4.8 | 6.9 | 101 |
| Turnover rate in other countries, 30-50 years old, Male | % | 6.8 | 7.9 | 9.9 | 101 |
| Turnover rate in other countries, Female | % | 7.7 | 6.3 | 8.1 | 101 |
| Turnover rate in other countries, Male | % | 8.4 | 9.4 | 12.3 | 101 |
| Turnover rate in other countries, including | % | 9 | 11.8 | 11.8 | 101 |
| Turnover rate in other countries, over 50 years old | % | 5.5 | 6.6 | 6.9 | 101 |
| Turnover rate in other countries, over 50 years old, Male | % | 7.3 | 9.4 | 13.3 | 101 |
| Turnover rate in other countries, under 30 years old | % | 25.4 | 12.8 | 18.6 | 101 |
| Turnover rate in other countries, under 30 years old, Male | % | 19 | 15.6 | 20.2 | 101 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Decline in occupational diseases in 2020 | 15% | 14 | |||
| LTIFR | rate | 0.16 | 0.22 | 0.2 | 103 |
| LTIFR (Lost Time Incident Frequency Rate) main contractor LLC ECS | per 200000 hours | 0.16 | 0.22 | 0.18 | 46 |
| LTIFR (employees) | rate | 0.16 | 0.22 | 0.18 | 103 |
| Number of employees of other contractors injured on duty | 13 | 46 | |||
| Number of employees who fell ill with COVID-19 and died as a result | 23 | 56 | |||
| Number of fatalities among RUSAL employees | 4 | 4 | 2 | 46 | |
| Number of fatalities among contractors | 4 | 3 | 5 | 46 | |
| Number of fatalities as a result of work-related injuries (contractors) | number | 1 | 3 | 5 | 103 |
| Number of fatalities as a result of work-related injuries (employees) | number | 4 | 4 | 2 | 103 |
| Number of high-consequence work-related injuries (excluding contractors) - Contractors | number | 2 | 9 | 7 | 103 |
| Number of high-consequence work-related injuries (excluding contractors) - RUSAL (employees) | number | 14 | 22 | 18 | 103 |
| Number of occupational injuries of employees of the Company’s enterprises | 94 | 85 | 46 | ||
| Number of serious occupational injuries of employees of the Company’s enterprises | 17 | 46 | |||
| Number of work-related injuries (employees) | number | 81 | 94 | 85 | 103 |
Lost days due to work injury.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Lost time injury rate (LTIR) | 0.18 | 4 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Amount spent on anti-COVID-19 measures | USD million | 79.5 | 4 | ||
| Cases of occupational diseases | number | 153 | 113 | 100 | 103 |
| Number of COVID-19 tests performed | 135337 | 56 | |||
| Number of dangerous actions identified | 18078 | 12943 | 15906 | 46 | |
| Number of dangerous situations identified | 339859 | 313619 | 322783 | 46 | |
| Share of employees working in improved conditions | % | Over 93 | 4 | ||
| Share of hazardous production facilities protected by implementing fire safety measures in 2020 | 100% | 14 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Distance training | persons | 3432 | 103 | ||
| Economic effect of Kaizen proposals and projects | USD million | 18.7 | 7.8 | 8.45 | 106 |
| Employees trained and students from Guinea and Tajikistan studying at educational institutions in Russia in 2020 | employees | 7559 | 14 | ||
| Employees trained in quality management | 1800 | 4 | |||
| Employees trained in quality management systems in 2020 | employees | 1809 | 14 | ||
| Number of Kaizen workshops | number | 10 | 10 | 10 | 106 |
| Number of employees trained | persons | 1484 | 863 | 7559 | 4, 103, 106 |
| Number of implemented improvements proposed by employees | number | 11952 | 9645 | 11155 | 106 |
| Number of improvements proposed by employees | number | 13627 | 10713 | 11816 | 106 |
| Percentage of employees trained - Female | % | 23.1 | 103 | ||
| Percentage of employees trained - Male | % | 10.9 | 103 | ||
| Percentage of employees trained - Managers | % | 36.7 | 103 | ||
| Percentage of employees trained - Specialists | % | 64.7 | 103 | ||
| Percentage of employees trained - Workers | % | 2.8 | 103 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Average number of hours of training per manager per year | 8.5 | 103 | |
| Average number of hours of training per specialist per year | 11.9 | 103 | |
| Average number of hours of training per worker per year | 0.1 | 103 | |
| Average number of training hours per female employee per year | hours | 4.2 | 103 |
| Average number of training hours per male employee per year | hours | 1.7 | 103 |
| Average training hours per employee per year | hours | 2.3 | 103 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of in-plant projects (projects at the enterprise level aimed at reducing losses, optimizing the operation of equipment, etc.) | number | 231 | 269 | 259 | 106 |
| Number of projects aimed at the development of BS projects at the Company level | number | 139 | 90 | 107 | 106 |
| Share of local supplier purchases | % | 49 | 4 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total volume of products supplied at the end of the year | tonnes | 3671025 | 4176093 | 3925871 | 98 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Undistributed economic value | USD million | 2033 | 2370 | 1374 | 98 |
| VAP sales | kt | 1722 | 4 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total net sales at the end of the year | USD million | 10280 | 9711 | 8566 | 98 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Capitalization volume at the end of the year (including borrowed capital) | USD million | 8286 | 8247 | 7792 | 98 |
| Capitalization volume at the end of the year (including equity) | USD million | 5209 | 6747 | 6543 | 98 |
| Distributed economic value | USD million | 9234 | 9055 | 8201 | 98 |
| Payments to the government | USD million | 336 | 192 | 85 | 98 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Applications received via the SigNal hotline in 2020 | applications | 30593 | 14 | ||
| Number of independent audits | number | n/a | 26 | 24 | 106 |
| Number of internal corporate audits | number | n/a | 31 | 32 | 106 |
| Requests received and addressed through the Signal hotline | Over 426 | 4 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Direct economic value created | USD million | 11267 | 11425 | 9575 | 98 |
| Number of participants in 'Improvement of the Year' competition | persons | 1709 | 1100 | 1148 | 106 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Amount allocated for environmental protection | USD million | 88.4 | 4 | ||
| Amount spent on charity | USD million | 2.5 | 4 | ||
| Economic effect from implementation of Business System projects | USD million | 1037.8 | 4 | ||
| Financial assistance received from the state - Total | USD million | 10 | 5 | 98 | |
| Investing in local communities | USD million | 22 | 31 | 63 | 98 |
| Operating costs | USD million | 8202 | 8064 | 7431 | 98 |
| Revenue | USD million | 10280 | 9711 | 8566 | 4, 98 |
| Social investments by category - Charity | % | 16.9 | 3.2 | 103 | |
| Social investments by category - Culture | % | 11.4 | 11.4 | 103 | |
| Social investments by category - Education | % | 38.7 | 10.8 | 103 | |
| Social investments by category - Environmental and animal protection | % | 11.2 | 1 | 103 | |
| Social investments by category - Healthcare | % | 2.8 | 72.9 | 103 | |
| Social investments by category - Social infrastructure and urban environment | % | 15.8 | 8.7 | 103 | |
| Social investments by category - Sport | % | 2.3 | 2.3 | 103 | |
| Social investments by category - Volunteering | % | 0.9 | 103 | ||
| Subsidies, including subsidies for R&D | USD million | 5 | 5 | 98 | |
| Tax relief and tax credits | USD million | 5 | 98 | ||
| Total economic effect of the implementation of the BS | USD million | 67.3 | 46.7 | 38.8 | 106 |
| Total social investments | USD million | 22 | 31 | 63 | 103 |
| USD allocated for development of medical centres in 2020 | million USD | 0.28 | 14 | ||
| USD million spent on social programmes and charitable activities in 2020 | million USD | 26.5 | 14 | ||
| USD spent on anti-COVID-19 measures in 2020 | million USD | 25.9 | 14 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | thousand tonnes | 37.6 | 37.3 | 36.3 |
| NOₓ Emissions | thousand tonnes | 19.6 | 19.5 | 19.7 |
| SOₓ Emissions | thousand tonnes | 36.4 | 42 | 40.1 |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 23864929 | 26075380 | 26780751 |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 1994749 | 2038861 | 1806963 |
| Total GHG Emissions | tonnes CO2e | 37297467 | 39177764 | 38609817 |
| Total GHG Emissions Intensity (By Revenue) | tonnes CO2e per million USD | 3628 | 4034 | 4507 |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 11437789 | 11057411 | 10202103 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Hazardous Waste Disposed | million tonnes | 0.1 | 0.1 | 0.1 |
| Total Hazardous Waste | million tonnes | 0.3 | 0.3 | 0.3 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | million tonnes | 11.9 | 12 | 13.7 |
| Non-Hazardous Waste Recycled | million tonnes | 1.9 | 1.8 | 2 |
| Recycling Rate of Non-Hazardous Waste | % | 13.8 | 13.1 | 12.6 |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Diesel Fuel Consumption | million tonnes | 0.09 | 0.1 | 0.09 |
| Fossil Fuel Consumption | million GJ | 196.4 | 203.1 | 211.8 |
| Natural Gas Consumption | billion cubic m | 2.9 | 2.92 | 3.1 |
| Purchased Electricity | million MWh | 65 | 67 | 67 |
| Purchased Heating | million Gcal | 0.8 | 0.7 | 0.7 |
| Total Energy Consumption | million GJ | 435.4 | 445.5 | 456.3 |
| Total Indirect Energy Consumption | million GJ | 235.6 | 241 | 241.6 |
| Total Non-Renewable Fuel Consumption | million GJ | 196.4 | 203.1 | 211.8 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Discharge of Industrial Wastewater | million cubic metres | 56.4 | 59.8 | 61.6 |
| Groundwater Withdrawal | million cubic metres | 14.9 | 13.7 | 20.7 |
| Seawater Withdrawal | million cubic metres | 22.8 | ||
| Surface Water Withdrawal | million cubic metres | 102 | 110.8 | 110.1 |
| Total Water Withdrawal | million cubic metres | 147.5 | 155 | 154 |
| Water Consumption | million cubic metres | 101.1 | 112.5 | 113.6 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 4 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Investment in Ecological Restoration | million USD | 88.4 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | number | 40473 | 33176 | 34949 |
| Number of Employees Aged Above 50 | number | 15094 | 11966 | 12829 |
| Number of Employees Aged Below 30 | number | 10842 | 8512 | 8372 |
| Number of Full-time Employees | number | 65754 | 53012 | 55461 |
| Number of General Employees | number | 52747 | 42438 | 44265 |
| Number of Middle Management Employees | number | 4783 | 4405 | 4268 |
| Number of New Employees | number | 9712 | 9282 | 7723 |
| Number of Part-time Employees | number | 655 | 642 | 689 |
| Number of Senior Management Employees | number | 634 | 609 | 643 |
| Number of Total Employees | persons | 66409 | 53564 | 56150 |
| Percentage of Employees Aged 30-50 | % | 60.9 | 61.8 | 62.2 |
| Percentage of Employees Aged Above 50 | % | 22.7 | 22.3 | 22.8 |
| Percentage of Employees Aged Below 30 | % | 16.3 | 15.9 | 14.9 |
| Percentage of Female Employees | % | 23.1 | 24.2 | 24.7 |
| Percentage of Full-time Employees | % | 99 | 98.8 | 98.8 |
| Percentage of New Employees | % | 14.6 | 17.3 | 13.8 |
| Percentage of Part-time Employees | % | 1 | 1.2 | 1.2 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 10.1 | 33.9 | 9.2 |
| Turnover Rate of Employees Aged Above 50 | % | 17.9 | 42 | 10.8 |
| Turnover Rate of Employees Aged Below 30 | % | 17.9 | 43.7 | 20 |
| Turnover Rate of Female Employees | % | 13 | 37 | 10.8 |
| Turnover Rate of Male Employees | % | 14.7 | 51.6 | 10.8 |
| Turnover Rate of Total Employees | % | 13.5 | 40.2 | 10.9 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | number | 5 | 7 | 7 |
| Number of Work-related Fatalities | number | 8 | 7 | 7 |
| Number of Work-related Fatalities for Contractors | number | 4 | 3 | 5 |
| Number of Work-related Fatalities for Direct Employee | number | 4 | 4 | 2 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | 0.18 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Work Safety | USD million | 79.5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Percentage of Employees Trained | % | 23.1 |
| Percentage of Trained Female Employees | % | 23.1 |
| Percentage of Trained General Employees | % | 64.7 |
| Percentage of Trained Male Employees | % | 10.9 |
| Percentage of Trained Operational Employees | % | 2.8 |
| Percentage of Trained Senior Management | % | 36.7 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Average Training Hours (Female) | hours | 4.2 |
| Average Training Hours (Male) | hours | 1.7 |
| Average Training Hours per Employee | hours | 2.3 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Proportion of Spending on Local Suppliers | % | 49 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Investment in Environmental Protection | USD million | 88.4 | ||
| Total Social Investment | USD million | 22 | 31 | 63 |