SUSTAINABILITY REPORT 2022
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2020 | 2021 | 2022 | 2035 | Report Pages |
---|---|---|---|---|---|---|
Benz(a)pyrene emissions to the atmosphere | thousand tonnes | 0.00041 | 0.00038 | 0.00032 | 27 | |
Benz(a)pyrene emissions to the atmosphere by Aluminium Division | thousand tonnes | 0.00033 | 27 | |||
Carbon Monoxide (CO) emissions to the atmosphere by Alumina Division | thousand tonnes | 8.8 | 27 | |||
Carbon Monoxide (CO) emissions to the atmosphere by Aluminium Division | thousand tonnes | 214.1 | 27 | |||
Carbon Monoxide (CO) emissions to the atmosphere by BoAZ | thousand tonnes | 20.8 | 27 | |||
Carbon Monoxide (CO) emissions to the atmosphere by Directorate for New Projects | thousand tonnes | 1.3 | 27 | |||
Carbon Monoxide (CO) emissions to the atmosphere by Downstream Division | thousand tonnes | 0.5 | 27 | |||
Carbon oxide (CO) emissions to the atmosphere | thousand tonnes | 238.7 | 245.3 | 245.2 | 27 | |
Nominally clean industrial wastewater discharge | mln cubic metres | 0.3 | 0.2 | 87 | ||
Other emissions to the atmosphere | thousand tonnes | 9.3 | 10.9 | 10.3 | 27 | |
Other emissions to the atmosphere by Alumina Division | thousand tonnes | 7.5 | 27 | |||
Other emissions to the atmosphere by Aluminium Division | thousand tonnes | 2.8 | 27 | |||
Other emissions to the atmosphere by BoAZ | thousand tonnes | 0.003 | 27 | |||
Other emissions to the atmosphere by Directorate for New Projects | thousand tonnes | 0.002 | 27 | |||
Other emissions to the atmosphere by Downstream Division | thousand tonnes | 0.031 | 27 | |||
PM (except Fosfai, tarry substances, Biolip) emissions to the atmosphere | thousand tonnes | 36.3 | 35.9 | 36 | 27 | |
PM (except Fosfai, tarry substances, Biolip) emissions to the atmosphere by Alumina Division | thousand tonnes | 18.7 | 27 | |||
PM (except Fosfai, tarry substances, Biolip) emissions to the atmosphere by Aluminium Division | thousand tonnes | 12.9 | 27 | |||
PM (except Fosfai, tarry substances, Biolip) emissions to the atmosphere by BoAZ | thousand tonnes | 0.3 | 27 | |||
PM (except Fosfai, tarry substances, Biolip) emissions to the atmosphere by Directorate for New Projects | thousand tonnes | 0.39 | 27 | |||
PM (except Fosfai, tarry substances, Biolip) emissions to the atmosphere by Downstream Division | thousand tonnes | 0.1 | 27 | |||
Polluted industrial wastewater discharge | mln cubic metres | 21.5 | 21 | 18.5 | 87 | |
Reduction in air pollutant emissions per tonne of aluminium | percent | 25 | 13 | |||
SOx emissions intensity (tonnes/tonnes of aluminum produced) | 0.011 | 0.012 | 0.012 | 88 | ||
Sulphur dioxide (SO2) emissions to the atmosphere | thousand tonnes | 40.1 | 45.1 | 41 | 27 | |
Sulphur dioxide (SO2) emissions to the atmosphere by Alumina Division | thousand tonnes | 0.2 | 27 | |||
Sulphur dioxide (SO2) emissions to the atmosphere by Aluminium Division | thousand tonnes | 13.1 | 27 | |||
Sulphur dioxide (SO2) emissions to the atmosphere by Downstream Division | thousand tonnes | 0.42 | 27 | |||
Sum of nitric oxides as nitrogen dioxide (NO2) emissions to the atmosphere | thousand tonnes | 20.4 | 22.7 | 19.9 | 27 | |
Sum of nitric oxides as nitrogen dioxide (NO2) emissions to the atmosphere by Alumina Division | thousand tonnes | 16.3 | 27 | |||
Sum of nitric oxides as nitrogen dioxide (NO2) emissions to the atmosphere by Aluminium Division | thousand tonnes | 2.8 | 27 | |||
Sum of nitric oxides as nitrogen dioxide (NO2) emissions to the atmosphere by Directorate for New Projects | thousand tonnes | 0.05 | 27 | |||
Sum of nitric oxides as nitrogen dioxide (NO2) emissions to the atmosphere by Downstream Division | thousand tonnes | 0.1 | 27 | |||
Total effluent discharge by type of destination: Freshwater discharge into municipal water disposal systems | million m³ | 22.8 | 23 | |||
Total effluent discharge by type of destination: Freshwater discharge into surface water bodies | million m³ | 13.4 | 23 | |||
Total effluent discharge by type of destination: Seawater discharge | million m³ | 144.2 | 23 | |||
Total emissions of pollutants to the atmosphere | thousand tonnes | 352.4 | 368.9 | 362.4 | 27 | |
Total emissions of pollutants to the atmosphere by Alumina Division | thousand tonnes | 48.1 | 27 | |||
Total emissions of pollutants to the atmosphere by Aluminium Division | thousand tonnes | 268 | 27 | |||
Total emissions of pollutants to the atmosphere by BoAZ | thousand tonnes | 25.4 | 27 | |||
Total emissions of pollutants to the atmosphere by Directorate for New Projects | thousand tonnes | 6 | 27 | |||
Total emissions of pollutants to the atmosphere by Downstream Division | thousand tonnes | 1.2 | 27 | |||
Total fluoride (gaseous and solid fluoride) emissions to the atmosphere | thousand tonnes | 6.1 | 6.4 | 6.2 | 27 | |
Total fluoride (gaseous and solid fluoride) emissions to the atmosphere by Alumina Division | thousand tonnes | 0.00003 | 27 | |||
Total fluoride (gaseous and solid fluoride) emissions to the atmosphere by Aluminium Division | thousand tonnes | 5.5 | 27 | |||
Total fluoride (gaseous and solid fluoride) emissions to the atmosphere by Downstream Division | thousand tonnes | 0.0004 | 27 | |||
Volatile organic compounds (VOCs) emissions to the atmosphere | thousand tonnes | 1.5 | 1.2 | 0.9 | 27 | |
Volatile organic compounds (VOCs) emissions to the atmosphere by Alumina Division | thousand tonnes | 0.3 | 27 | |||
Volatile organic compounds (VOCs) emissions to the atmosphere by Aluminium Division | thousand tonnes | 0.4 | 27 |
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 | 2020 | 2021 | 2022 | 2025 | 2035 | Report Pages |
---|---|---|---|---|---|---|---|
Average of specific direct and indirect GHG emissions per 1 tonne of aluminium | tonnes CO2e per tonne Al | less than 2.1 | 36 | ||||
Decrease in direct specific GHG emissions in existing alumina refineries vs. 2014 level | 10% | 36 | |||||
Decrease in direct specific GHG emissions in existing aluminium smelters vs. 2014 level | 12.5% | 36 | |||||
Direct (Scope 1) GHG emissions | t CO2e | 10022063 | 10491772 | 11041772 | 37 | ||
Direct (Scope 1) GHG emissions - Aluminium Division | tonnes CO2e | 8915130 | 8868230 | 8999685 | 88 | ||
Direct (Scope 1) GHG emissions - Other production | tonnes CO2e | 17865621 | 19702118 | 19420800 | 88 | ||
Direct (Scope 1) specific GHG emissions in electrolysis operations | tonnes CO2e per tonne of aluminum produced | 2.04 | 2.02 | 2 | 88 | ||
Direct greenhouse gas emissions intensity compared to 2014 levels | % less | 12.5 | 18 | ||||
GHG emissions (Scope 1) CH4 | t CO2e | 1506456 | 1381578 | 1281285 | 37 | ||
GHG emissions (Scope 1) CO2 | t CO2e | 26780750 | 28570348 | 28320486 | 37 | ||
GHG emissions (Scope 1) N2O | t CO2e | 57229 | 23774 | 23820 | 37 | ||
GHG emissions (Scope 1) Perfluorocarbons | t CO2e | 25741129 | 27105485 | 26957209 | 37 | ||
Indirect (Scope 2) GHG emissions | t CO2e | 1803043 | 1779822 | 1214137 | 37 | ||
Indirect (Scope 2) GHG emissions - Aluminium Division | tonnes CO2e | 820515 | 596093 | 494921 | 88 | ||
Indirect (Scope 2) GHG emissions - Other production | tonnes CO2e | 986448 | 781888 | 779216 | 88 | ||
Indirect (Scope 3) GHG emissions | t CO2e | 26780751 | 28570349 | 28320486 | 37 | ||
NOx emissions intensity (tonnes/tonnes of aluminum produced) | 0.005 | 0.006 | 0.005 | 88 | |||
Planned reduction of specific greenhouse gas emissions per tonne of metal by 2035 (GHG neutralization excluded) | % | 30 | 35 | ||||
Planned reduction of specific greenhouse gas emissions per tonne of metal by 2035 (GHG neutralization included) | % | 57 | 35 | ||||
Reduction of specific greenhouse gas emissions per tonne of metal | percent | 30 | 13 | ||||
Scope 1 GHG emissions | million tonnes CO2e | 28.3 | 36 | ||||
Scope 2 GHG emissions | million tonnes CO2e | 12 | 36 | ||||
Scope 3 GHG emissions | million tonnes CO2e | 11 | 36 | ||||
Share of low-carbon aluminium in total output | percent | 57 | 13 | ||||
Specific GHG emissions per million USD revenue | tonnes CO2e per million USD | 4.507 | 3.243 | 2.904 | 36 | ||
Target for electrolysis facilities greenhouse gases emissions under Scope 1 by 2025 | tonnes of CO2e/t of metal | 2.03 | 35 | ||||
Total GHG emissions, tonnes CO2e | million tonnes | 38.698971 | 38.591956 | 40.576394 | 36 | ||
Total emissions intensity (tonnes/tonnes of aluminum produced) | 0.04 | 0.04 | 0.04 | 88 | |||
VOC emissions intensity (tonnes/tonnes of aluminum produced) | 0.0004 | 0.0003 | 0.0002 | 88 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | 2022 | 2030 | Report Pages |
---|---|---|---|---|---|---|
12.3 tonnes of equipment with PCBs were transferred for disposal as of the end of 2021 | tonnes | 12.3 | 18 | |||
Dross generated | tonnes | 34600 | 26 | |||
Hazardous waste generated | million tonnes | 0.8 | 0.7 | 0.8 | 26 | |
Hazardous waste intensity (HKEX KPI A1.3) | tonnes/tonnes of aluminium produced | 0.23 | 0.18 | 0.2 | 87 | |
Industrial discharges into surface water bodies by type - Nominally clean | million m³ | 0.3 | 0.2 | 24 | ||
Industrial discharges into surface water bodies by type - Polluted | million m³ | 21.5 | 21 | 18.5 | 24 | |
Industrial discharges into surface water bodies by type - Treated | million m³ | 12.5 | 4.7 | 4.5 | 24 | |
Red/nepheline sludge from alumina production - Disposed | mln tonnes | 13.4 | 11.7 | 11.1 | 87 | |
Red/nepheline sludge from alumina production - Generated (GRI MM3, SASB EM-MM-150a.5, ASI PS 6.6) | mln tonnes | 14.4 | 14.1 | 12 | 87 | |
Red/nepheline sludge generated | million tonnes | 14.4 | 14.1 | 12 | 26 | |
Reduction of alumina production waste and at least 95% of aluminium and post-consumer materials waste back to cycle | percent | 95 | 13 | |||
Sludge volume (accumulated overburden and sludges) | mln tonnes | 482.9 | 494.2 | 428 | 87 | |
Sludge volume (formed overburden and sludge) | mln tonnes | 14.4 | 14.1 | 12 | 87 | |
Spent carbon pot lining broken down by operation - Disposed | thsd tonnes | 31.1 | 25.2 | 27.8 | 87 | |
Spent carbon pot lining broken down by operation - Generated (ASI PS 6.7) | thsd tonnes | 38.2 | 33 | 35 | 87 | |
Spent carbon pot lining generated | tonnes | 35000 | 26 | |||
Total volume of waste disposed of, including hazardous waste, overburden, non-hazardous waste (excluding overburden) | thousand tonnes | 491 | 26 | |||
Total volume of waste disposed of, landfilling on-site | thousand tonnes | 22.7 | 26 | |||
Total volume of waste generated | million tonnes | 73.2 | 84.2 | 62.8 | 26 | |
Total volume of waste generated, excluding overburden | million tonnes | 16.2 | 15.6 | 13.8 | 26 | |
Total volume of waste generated, excluding overburden and red/nepheline sludge | million tonnes | 1.8 | 1.5 | 1.8 | 26 | |
Total volumes of accumulated overburden and sludges (GRI MM3) | mln tonnes | 951.9 | 982.2 | 971.2 | 87 | |
Total volumes of hazardous waste broken down by operation - Disposed | mln tonnes | 0.11 | 0.04 | 0.02 | 87 | |
Total volumes of hazardous waste broken down by operation - Generated (HKEX KPI A1.3) | mln tonnes | 0.8 | 0.7 | 0.8 | 87 | |
Total volumes of hazardous waste broken down by operation - Recycled | mln tonnes | 0.66 | 0.66 | 0.81 | 87 | |
Total volumes of waste, excluding overburden, broken down by operation - Disposed | mln tonnes | 13.8 | 13.5 | 11.4 | 87 | |
Total volumes of waste, excluding overburden, broken down by operation - Generated (SASB EM-MM-150a.2) | mln tonnes | 16.7 | 15.6 | 13.8 | 87 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | 2022 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Accumulation of non-hazardous waste at 31 December | mln tonnes | 1057.8 | 1002.2 | 998 | 87 | |
Non-hazardous waste (excluding overburden) disposed of, accumulation on-site | thousand tonnes | 8.6 | 26 | |||
Non-hazardous waste (excluding overburden) disposed of, at the production site | million tonnes | 0.6 | 26 | |||
Non-hazardous waste (excluding overburden) disposed of, landfilling off-site | million tonnes | 0.03 | 26 | |||
Non-hazardous waste (excluding overburden) disposed of, third parties | million tonnes | 1 | 26 | |||
Non-hazardous waste generated (including overburden rock, red/nepheline sludge, other non-hazardous waste) | million tonnes | 72.9 | 83.5 | 62 | 26 | |
Other non-hazardous waste generated | million tonnes | 1.5 | 0.8 | 1 | 26 | |
Overburden disposed of, accumulation on-site | million tonnes | 0.01 | 26 | |||
Overburden disposed of, at the production site | million tonnes | 0.8 | 26 | |||
Overburden disposed of, third parties | million tonnes | 0.85 | 26 | |||
Overburden rock generated | million tonnes | 57 | 68.6 | 49 | 26 | |
Overburden volumes (accumulated overburden and sludges) | mln tonnes | 449 | 488 | 488.3 | 87 | |
Overburden volumes (formed overburden and sludge) | mln tonnes | 57 | 68.6 | 49 | 87 | |
Percentage of red/nepheline sludge sent for recycling | % | 7.7 | 6.6 | 7.7 | 87 | |
Percentage of spent carbon pot lining sent for recycling | % | 18.4 | 23.7 | 20.7 | 87 | |
Red/nepheline sludge from alumina production - Recycled | mln tonnes | 1.1 | 0.9 | 0.9 | 87 | |
Red/nepheline sludge sent to be reused and recycled | million tonnes | 9 | 26 | |||
Share of non-hazardous waste in total waste generated | % | 97 | 24 | |||
Share of overburden in non-hazardous waste | % | 94 | 24 | |||
Share of post-consumer aluminium wastes back to cycle | percent | 20 | 13 | |||
Spent carbon pot lining broken down by operation - Recycled | thsd tonnes | 7.1 | 7.8 | 7.2 | 87 | |
Spent carbon pot lining sent to be reused and recycled | tonnes | 24000 | 26 | |||
Total non-hazardous waste intensity (excluding overburden) (HKEX KPI A1.4) | tonnes/tonnes of aluminium produced | 4.23 | 3.96 | 3.39 | 87 | |
Total volumes of non-hazardous waste, excluding overburden, broken down by operation - Disposed | mln tonnes | 13.7 | 13.5 | 11.3 | 87 | |
Total volumes of non-hazardous waste, excluding overburden, broken down by operation - Generated (HKEX KPI A1.4) | mln tonnes | 15.9 | 15 | 13 | 87 | |
Total volumes of non-hazardous waste, excluding overburden, broken down by operation - Recycled | mln tonnes | 2.2 | 1.5 | 1.7 | 87 | |
Total volumes of waste, excluding overburden, broken down by operation - Recycled (SASB EM-MM-150a.2) | mln tonnes | 2.8 | 2.2 | 2.4 | 87 | |
Volumes of formed overburden and sludge | mln tonnes | 71.4 | 82.7 | 61.7 | 87 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | 2021 | 2022 | 2032 | 2050 | Report Pages |
---|---|---|---|---|---|---|---|
Specific GHG emissions to be reduced by 2032 (Basic scenario) | % | 25 | 34 | ||||
Specific GHG emissions to be reduced by 2050 (Basic scenario) | % | 47 | 34 | ||||
Total monetary value of fines for non-compliance with the environmental legislation | USD, thsd | 34.2 | 79 | 141 | 86 |
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 | 2022 | 2030 | Report Pages |
---|---|---|---|---|
88% of RUSAL's production waste was recycled externally or passed on for recycling or disposal | % | 88 | 18 | |
Dross sent to be reused and recycled | tonnes | 33400 | 26 | |
Gradual reduction of waste-to-landfill to at least 10% per tonne of metal and safe disposal of 100% of such waste | percent | 10 | 13 | |
Hazardous waste disposed of, accumulation on-site | million tonnes | 0.01 | 26 | |
Hazardous waste disposed of, at the production site | million tonnes | 0.8 | 26 | |
Hazardous waste disposed of, landfilling off-site | million tonnes | 0.01 | 26 | |
Hazardous waste disposed of, third parties | million tonnes | 0.04 | 26 | |
Hazardous waste disposed of, total reused and recycled wastes | million tonnes | 0.81 | 26 | |
Non-hazardous waste (excluding overburden) disposed of, total reused and recycled wastes | million tonnes | 1.6 | 26 | |
Overburden disposed of, total reused and recycled wastes | million tonnes | 1.1 | 26 | |
Safe disposal of waste | percent | 100 | 13 |
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 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Coal consumption | mln tonnes | 3.62 | 3.56 | 3.57 | 88 |
Decrease in average specific electric power consumption by aluminium smelters vs. 2011 level | 4.1% | 36 | |||
Diesel consumption | mln tonnes | 0.09 | 0.1 | 0.1 | 88 |
Electricity consumption | mln GJ, mln MWh | 241.6 | 67 | 68 | 88 |
Energy consumption intensity coefficient | kWh/tonne | 18083.48 | 18193.05 | 13055.52 | 88 |
Energy intensity | GJ/tonne | 6.51 | 6.53 | 1.19 | 88 |
Energy mix at aluminium smelters - Fossil fuels (TPP) | % | 0.85 | 0.44 | 0.37 | 37 |
Energy mix at aluminium smelters - Hydropower (HPP) | % | 98.56 | 98.77 | 99.03 | 37 |
Energy mix at aluminium smelters - Nuclear (NPP) | % | 0.02 | 0.11 | 0.03 | 37 |
Energy mix at aluminium smelters - Wind | % | 0.57 | 0.58 | 0.57 | 37 |
Freshwater and seawater discharge into water bodies by type: Nominally clean | million m³ | 670 | 23 | ||
Freshwater and seawater discharge into water bodies by type: Polluted | million m³ | 0.2 | 23 | ||
Fuel consumption from renewable sources | mln GJ | 0.51 | 0.63 | 1.29 | 88 |
Heat consumption | mln GJ | 2.9 | 3.4 | 3.7 | 88 |
Heavy fuel consumption | mln tonnes | 0.16 | 0.17 | 0.59 | 88 |
Natural gas consumption | bn cubic m | 3.1 | 3.56 | 3.2 | 88 |
Other fuel consumption | mln tonnes | 0.04 | 0.06 | 0.09 | 88 |
RUSAL's fuel consumption by type - Coal | million tonnes | 0.7 | 0.6 | 0.6 | 37 |
RUSAL's fuel consumption by type - Gas | billion m3 | 3.1 | 3.2 | 3.2 | 37 |
RUSAL's fuel consumption by type - Heavy oil | million tonnes | 3.6 | 3.6 | 3.6 | 37 |
Share of electricity from hydropower and other carbon-free sources used by RUSAL | 96% | 36 | |||
Share of purchased electricity | % | 100 | 100 | 100 | 88 |
Total RUSAL's energy consumption from fuel | million GJ | 233.2 | 212.6 | 217.5 | 37 |
Total consumption of non-renewable energy sources (fuels) | mln GJ | 212.6 | 232.2 | 217.5 | 88 |
Total fuel consumption | mln GJ | 457.6 | 478.7 | 466.4 | 88 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Downstream Division water use | mln cubic metres | 0.5 | 1.5 | 1.7 | 87 |
Freshwater and seawater discharge into water bodies by type: Total | million m³ | 498 | 23 | ||
Freshwater and seawater discharge into water bodies by type: Treated | million m³ | 50.3 | 23 | ||
Freshwater discharge in surface water bodies by category - Drain & storm (rain) waters | million m³ | 21.5 | 24 | ||
Freshwater discharge in surface water bodies by category - Industrial discharges | million m³ | 53 | 24 | ||
Freshwater discharge in surface water bodies by category - Other | million m³ | 3.1 | 24 | ||
Freshwater discharge in surface water bodies by category - Quarry, mine waters | million m³ | 15.3 | 24 | ||
Freshwater used for production needs | mln cubic metres | 103.8 | 107.5 | 99 | 86 |
Groundwater withdrawal | mln cubic metres | 7.7 | 4 | 12 | 86 |
New Projects Directorate water use | mln cubic metres | 0.6 | 0.8 | 1 | 87 |
Other withdrawal | mln cubic metres | 34.5 | 15.9 | 16.3 | 86 |
Share of repeated and recirculated water supply | % | 92.6 | 91.5 | 91.5 | 87 |
Share of water intake in water-scarce regions as percentage of total water intake | 1.0% | 22 | |||
Surface water withdrawal | mln cubic metres | 110.1 | 121.2 | 109.1 | 86 |
Total freshwater and seawater withdrawal | million m³, mln cubic metres | 176.8 | 178.4 | 172.7 | 23, 86 |
Total freshwater withdrawal | million m³, mln cubic metres | 151.6 | 155.4 | 149.9 | 23, 86 |
Total industrial wastewater discharge intensity (discharge into surface water bodies) | cubic metres/tonnes of alumina produced | 4.2 | 3.1 | 3.88 | 87 |
Total seawater withdrawal | mln cubic metres | 22.8 | 23 | 22.8 | 86 |
Total volume of freshwater consumption | mln cubic metres | 113.6 | 116.1 | 112 | 86 |
Total volume of freshwater consumption (Alumina Division) | mln cubic metres | 93 | 95.9 | 82.2 | 86 |
Total volume of freshwater consumption (Aluminum Division) | mln cubic metres | 20.6 | 17.8 | 19.1 | 86 |
Total volume of industrial wastewater discharge into surface water bodies (GRI 303-5, ASI PS 6.2) | mln cubic metres | 34.3 | 25.9 | 23.1 | 87 |
Total volume of seawater discharge (GRI 303-4) | mln cubic metres | 22.8 | 22.7 | 22.8 | 87 |
Total water withdrawal intensity | cubic metres/tonnes of alumina produced, m³/tonnes of aluminium produced | 21.6 | 17.7 | 29 | 23, 86 |
Treated industrial wastewater discharge | mln cubic metres | 12.5 | 4.7 | 4.5 | 87 |
Urban networks withdrawal | mln cubic metres | 1.7 | 14.3 | 12.5 | 86 |
Water consumption at RUSAL Armenal | thousand m³ | 279 | 1.213 | 1.5809 | 22 |
Water consumption incl. fresh water used for production at RUSAL Armenal | thousand m³ | 104.4 | 1.029 | 1.474 | 22 |
Water withdrawal by source: Ground water | million m³ | 12.6 | 23 | ||
Water withdrawal by source: Other sources | million m³ | 10.1 | 23 | ||
Water withdrawal by source: Seawater | million m³ | 22.8 | 23 | ||
Water withdrawal by source: Surface water | million m³ | 12.5 | 23 | ||
Water withdrawal by source: Urban network | million m³ | 15.7 | 23 | ||
Water withdrawal from surface water bodies at RUSAL Armenal | thousand m³ | 44.87 | 1.041 | 1.474 | 22 |
Water withdrawal from urban network at RUSAL Armenal | thousand m³ | 204 | 99.4 | 109.5 | 22 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Average electricity consumption per tonne of aluminium compared to 2014 levels | % less | 1.4 | 18 |
Electrolyzers were converted to new technology at the Bratsk, Krasnoyarsk, Sayanogorsk, and Novokuznetsk smelters | electrolyzers | 402 | 18 |
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 | 2020 | 2021 | 2022 | 2027 | Report Pages |
---|---|---|---|---|---|---|
Share of water recycling in alumina refining, aluminium smelting and the processing of finished aluminium products | percent | 100 | 13 | |||
Treated water discharge at RUSAL Armenal | thousand m³ | 201 | 272 | 273 | 22 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2020–2022 | 2020–2023 | 2022 | 2022–2023 | 2035 | Report Pages |
---|---|---|---|---|---|---|---|
22 enterprises were certified to ISO 14001 | enterprises | 22 | 18 | ||||
77 ha – total area of reclaimed land in the reporting period | hectares | 77 | 18 | ||||
Addressing top-3 critical aspects of social and environmental sustainability | 3 | 13 | |||||
Building hospitals: Investment in 2022 | million RUB | 80 | 62 | ||||
Building hospitals: Project budget | million RUB | 500 | 62 | ||||
Environment - Achinsk District (Krasnoyarsk Krai) | 55 | 60 | |||||
Environment - Kandalaksha (Murmansk Region) | 68 | 60 | |||||
Environment - Krasnoyarsk (Krasnoyarsk Krai) | 48 | 60 | |||||
Environment - Novokuznetsk (Kemerovo Region) | 35 | 60 | |||||
Environment - Sayanogorsk (Republic of Khakassia) | 72 | 60 | |||||
Environment - Severouralsk (Sverdlovsk Region) | 52 | 60 | |||||
Environment - Sharypovsky District (Krasnoyarsk Krai) | 55 | 60 | |||||
Environment - Volgograd (Volgograd Region) | 40 | 60 | |||||
Over 1 million pine trees were planted | pine trees | 1000000 | 18 | ||||
Renovation of Gorky Central Park: Investment in 2022 | million RUB | 180 | 62 | ||||
Renovation of Gorky Central Park: Project budget | billion RUB | 1.927 | 62 | ||||
Renovation of a building to house branch of the Federal State Budgetary Institution of Higher Professional Education IRNITU: Investment in 2022 | million RUB | 38 | 62 | ||||
Renovation of a building to house branch of the Federal State Budgetary Institution of Higher Professional Education IRNITU: Project budget | million RUB | 183.5 | 62 | ||||
Renovation of the sports ground at School #16: Investment in 2022 | million RUB | 100 | 62 | ||||
Renovation of the sports ground at School #16: Project budget | million RUB | 100 | 62 | ||||
USD 125.5 million were allocated to environmental protection measures | million USD | 125.5 | 18 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | 2021 | 2022 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Achieving the status of the Employer of Dream (No.1) for the target youth group | 1 | 13 | ||||
Annual bonus covers 100% of the average salary for employees in Russia | % | 100 | 18 | |||
Armenia - Female employees | number | 81 | 83 | 77 | 89 | |
Armenia - Male employees | number | 598 | 593 | 572 | 89 | |
Armenia - Total employees | number | 679 | 676 | 649 | 89 | |
Average headcount | number | 53335 | 55971 | 57485 | 89 | |
Board of Directors by age group: 35 to 50 years old | number | 5 | 4 | 4 | 95 | |
Board of Directors by age group: 50 to 70 years old | number | 7 | 9 | 8 | 95 | |
Board of Directors by age group: over 70 years old | number | 2 | 1 | 1 | 95 | |
Employee structure by age: 30–50 | % | 62.9 | 40 | |||
Employee structure by age: Over 50 | % | 13.4 | 40 | |||
Employee structure by age: Under 30 | % | 23.7 | 40 | |||
Employee structure by gender: Men | % | 75 | 40 | |||
Employee structure by gender: Women | % | 25 | 40 | |||
Employee wages and salaries | USD, mln | 624 | 724 | 937 | 86 | |
Employees aged 30-50 | number | 34949 | 36407 | 37339 | 90 | |
Employees aged over 50 | number | 12829 | 13066 | 14074 | 90 | |
Employees aged under 30 | number | 8372 | 8440 | 7990 | 90 | |
Employees in Armenia | number | 10 | 5 | 5 | 91 | |
Employees in Armenia, Female | number | 3 | 1 | 91 | ||
Employees in Armenia, Male | number | 10 | 2 | 4 | 91 | |
Employees in Guinea | number | 1180 | 566 | 577 | 91 | |
Employees in Guinea, Female | number | 82 | 53 | 51 | 91 | |
Employees in Guinea, Male | number | 1098 | 513 | 526 | 91 | |
Employees in Guyana | number | 5 | 5 | 4 | 91 | |
Employees in Guyana, Male | number | 5 | 5 | 4 | 91 | |
Employees in Ireland | number | 17 | 15 | 20 | 91 | |
Employees in Ireland, Female | number | 2 | 1 | 1 | 91 | |
Employees in Ireland, Male | number | 15 | 14 | 19 | 91 | |
Employees in Jamaica | number | 1161 | 1134 | 1166 | 91 | |
Employees in Jamaica, Female | number | 148 | 160 | 169 | 91 | |
Employees in Jamaica, Male | number | 1013 | 974 | 997 | 91 | |
Employees in Other countries, Female | number | 11 | 22 | 33 | 91 | |
Employees in Other countries, Male | number | 27 | 29 | 71 | 91 | |
Employees in Russia | number | 2034 | 2471 | 2449 | 91 | |
Employees in Russia, Female | number | 1025 | 1240 | 1205 | 91 | |
Employees in Russia, Male | number | 1009 | 1231 | 1244 | 91 | |
Employees in Sweden | number | 71 | 48 | 15 | 91 | |
Employees in Sweden, Female | number | 13 | 10 | 1 | 91 | |
Employees in Sweden, Male | number | 58 | 38 | 14 | 91 | |
Employees in Ukraine | number | 232 | 191 | 183 | 91 | |
Employees in Ukraine, Female | number | 41 | 36 | 36 | 91 | |
Employees in Ukraine, Male | number | 191 | 155 | 147 | 91 | |
Employees, Guinea, Female | number | 2 | 2 | 2 | 92 | |
Employees, Guinea, Male | number | 86 | 92 | 98 | 92 | |
Employees, Guyana, Female | number | 26 | 20 | 16 | 92 | |
Employees, Guyana, Female (right table) | number | 1 | 1 | 92 | ||
Employees, Guyana, Male | number | 101 | 92 | 82 | 92 | |
Employees, Guyana, Male (right table) | number | 1 | 1 | 92 | ||
Employees, Jamaica, Female | number | 399 | 365 | 408 | 92 | |
Employees, Jamaica, Male | number | 485 | 457 | 506 | 92 | |
Employees, Other countries, Female | number | 77 | 81 | 94 | 91, 92 | |
Employees, Other countries, Female (right table) | number | 7 | 7 | 18 | 92 | |
Employees, Other countries, Male | number | 445 | 358 | 522 | 91, 92 | |
Employees, Other countries, Male (right table) | number | 37 | 37 | 50 | 92 | |
Employees, Russia, Female | number | 72 | 81 | 80 | 92 | |
Employees, Russia, Male | number | 87 | 40 | 26 | 92 | |
Employees, Sweden, Female | number | 65 | 62 | 55 | 92 | |
Employees, Sweden, Female (right table) | number | 2 | 92 | |||
Employees, Sweden, Male | number | 429 | 423 | 403 | 92 | |
Employees, Sweden, Male (right table) | number | 2 | 3 | 1 | 92 | |
Employees, Ukraine, Female | number | 2 | 2 | 180 | 92 | |
Employees, Ukraine, Male | number | 4 | 4 | 1063 | 92 | |
Entry level salary, Female, Nigeria | USD | 150 | 192 | 172 | 93 | |
Entry level salary, Male, Nigeria | USD | 143 | 131 | 93 | ||
Fixed-term employment contract, Female | number | 1322 | 1525 | 1499 | 91 | |
Fixed-term employment contract, Male | number | 3426 | 2961 | 3024 | 91 | |
Fixed-term employment contract, number | number | 4748 | 4486 | 4523 | 91 | |
Full-time employees in Armenia | number | 679 | 676 | 649 | 91 | |
Full-time employees in Armenia, Female | number | 87 | 93 | 73 | 91 | |
Full-time employees in Armenia, Male | number | 592 | 583 | 576 | 91 | |
Full-time employees in Guinea | number | 3830 | 3860 | 3847 | 91 | |
Full-time employees in Guinea, Female | number | 71 | 25 | 28 | 91 | |
Full-time employees in Guinea, Male | number | 3759 | 3885 | 3819 | 91 | |
Full-time employees in Ireland | number | 469 | 459 | 459 | 91 | |
Full-time employees in Ireland, Female | number | 37 | 39 | 39 | 91 | |
Full-time employees in Ireland, Male | number | 432 | 420 | 420 | 91 | |
Full-time employees in Jamaica | number | 677 | 677 | 660 | 91 | |
Full-time employees in Jamaica, Female | number | 61 | 60 | 60 | 91 | |
Full-time employees in Jamaica, Male | number | 616 | 617 | 600 | 91 | |
Full-time employees in Russia | number | 45860 | 47752 | 49207 | 91 | |
Full-time employees in Russia, Female | number | 12454 | 12998 | 13505 | 91 | |
Full-time employees in Russia, Male | number | 33406 | 34754 | 35702 | 91 | |
Full-time employees in Ukraine | number | 2881 | 2895 | 1868 | 91 | |
Full-time employees in Ukraine, Female | number | 658 | 677 | 628 | 91 | |
Full-time employees in Ukraine, Male | number | 2223 | 1240 | 1240 | 91 | |
Full-time employees, Female | number | 13711 | 14262 | 14546 | 91 | |
Full-time employees, Male | number | 41750 | 43046 | 43188 | 91 | |
Full-time employees, including | number | 55641 | 57308 | 57734 | 91 | |
Gender composition of Senior Management: Men | number | 13 | 13 | 11 | 95 | |
Gender composition of Senior Management: Share of women | % | 7 | 7 | 15 | 95 | |
Gender composition of Senior Management: Women | number | 1 | 1 | 2 | 95 | |
Gender payout ratio, average wages of men vs women, Other countries | coefficient | 0.7 | 0.9 | 0.7 | 93 | |
Gender payout ratio, average wages of men vs women, Russia | coefficient | 1.3 | 1.3 | 1.3 | 93 | |
Gender payout ratio, mid-level managers, Other countries | coefficient | 0.8 | 1.2 | 0.9 | 93 | |
Gender payout ratio, mid-level managers, Russia | coefficient | 1.1 | 1.1 | 1.1 | 93 | |
Gender payout ratio, senior managers, Other countries | coefficient | 1.2 | 1.1 | 1.5 | 93 | |
Gender payout ratio, senior managers, Russia | coefficient | 1.3 | 1.7 | 1.1 | 93 | |
Gender payout ratio, specialists, Other countries | coefficient | 0.8 | 1.1 | 0.7 | 93 | |
Gender payout ratio, specialists, Russia | coefficient | 1.7 | 1.5 | 1.4 | 93 | |
Gender payout ratio, workers, Other countries | coefficient | 1.1 | 1 | 2.1 | 93 | |
Gender payout ratio, workers, Russia | coefficient | 1.5 | 1.4 | 1.4 | 93 | |
Guinea - Female employees | number | 236 | 231 | 228 | 89 | |
Guinea - Male employees | number | 3596 | 3585 | 3621 | 89 | |
Guinea - Total employees | number | 3832 | 3816 | 3849 | 89 | |
Guyana - Female employees | number | 26 | 21 | 17 | 89 | |
Guyana - Male employees | number | 101 | 92 | 82 | 89 | |
Guyana - Total employees | number | 127 | 113 | 99 | 89 | |
Headcount of employees at the end of the year | persons | 56150 | 57933 | 59463 | 40 | |
Income and employment - Achinsk District (Krasnoyarsk Krai) | 43 | 60 | ||||
Income and employment - Kandalaksha (Murmansk Region) | 48 | 60 | ||||
Income and employment - Krasnoyarsk (Krasnoyarsk Krai) | 73 | 60 | ||||
Income and employment - Novokuznetsk (Kemerovo Region) | 65 | 60 | ||||
Income and employment - Sayanogorsk (Republic of Khakassia) | 36 | 60 | ||||
Income and employment - Severouralsk (Sverdlovsk Region) | 29 | 60 | ||||
Income and employment - Sharypovsky District (Krasnoyarsk Krai) | 54 | 60 | ||||
Income and employment - Volgograd (Volgograd Region) | 61 | 60 | ||||
Income from investments in associates and joint ventures | USD, mln | 976 | 1807 | 1555 | 86 | |
Ireland - Female employees | number | 37 | 39 | 39 | 89 | |
Ireland - Male employees | number | 432 | 420 | 460 | 89 | |
Ireland - Total employees | number | 469 | 459 | 499 | 89 | |
Jamaica - Female employees | number | 148 | 160 | 197 | 89 | |
Jamaica - Male employees | number | 1013 | 974 | 969 | 89 | |
Jamaica - Total employees | number | 1161 | 1134 | 1166 | 89 | |
Mid-level managers | number | 4288 | 4134 | 4090 | 90 | |
Mid-level managers 30 to 50 years old | number | 2845 | 2960 | 3147 | 90 | |
Mid-level managers over 50 years old | number | 1322 | 1248 | 1323 | 90 | |
Mid-level managers under 30 years old | number | 121 | 126 | 120 | 90 | |
Mobility - Achinsk District (Krasnoyarsk Krai) | 37 | 60 | ||||
Mobility - Kandalaksha (Murmansk Region) | 62 | 60 | ||||
Mobility - Krasnoyarsk (Krasnoyarsk Krai) | 52 | 60 | ||||
Mobility - Novokuznetsk (Kemerovo Region) | 72 | 60 | ||||
Mobility - Sayanogorsk (Republic of Khakassia) | 41 | 60 | ||||
Mobility - Severouralsk (Sverdlovsk Region) | 67 | 60 | ||||
Mobility - Sharypovsky District (Krasnoyarsk Krai) | 56 | 60 | ||||
Mobility - Volgograd (Volgograd Region) | 43 | 60 | ||||
Number of hours worked | RUSAL, mln man-hours | 84 | 90.9 | 95.6 | 94 | |
Number of independent directors | number | 8 | 8 | 7 | 95 | |
Number of new recruitments | number | 7723 | 8154 | 6480 | 89 | |
Other countries - Employees | number | 918 | 827 | 733 | 89 | |
Other countries - Employees 30 to 50 years old | number | 457 | 400 | 335 | 89 | |
Other countries - Employees over 50 years old | number | 99 | 94 | 135 | 89 | |
Other countries - Employees under 30 years old | number | 242 | 224 | 213 | 89 | |
Other countries - Female employees | number | 84 | 88 | 127 | 89 | |
Other countries - Male employees | number | 398 | 387 | 573 | 89 | |
Other countries - Total employees | number | 482 | 475 | 700 | 89 | |
Part-time employees, Female | number | 169 | 185 | 377 | 92 | |
Part-time employees, Male | number | 520 | 440 | 1352 | 92 | |
Part-time employees, including | number | 689 | 625 | 1729 | 92 | |
Percentage of employees aged 30 to 50 | % | 62.2 | 62.8 | 62.9 | 90 | |
Percentage of employees aged over 50 | % | 22.8 | 22.6 | 23.7 | 90 | |
Percentage of employees aged under 30 | % | 14.9 | 14.6 | 13.4 | 90 | |
Percentage of employees covered by collective agreements | % | 85.5 | 84.6 | 86.2 | 90 | |
Percentage of employees hired on a fixed-term basis | % | 8.5 | 7.7 | 7.6 | 91 | |
Percentage of employees hired on a fixed-term basis in Russia | % | 4.4 | 5.2 | 5 | 91 | |
Percentage of employees on a permanent contract | % | 91.5 | 92.3 | 92.4 | 90 | |
Percentage of employees on a permanent contract in Russia | % | 95.6 | 94.8 | 95 | 90 | |
Percentage of employees on a permanent contract in other countries | % | 73.2 | 80 | 79.6 | 90 | |
Percentage of employees with fixed term employment contract in other countries | % | 26.8 | 20 | 20.4 | 91 | |
Percentage of female employees | % | 24.7 | 24.9 | 25.1 | 90 | |
Percentage of female mid-level managers | % | 20.1 | 21.2 | 21.7 | 90 | |
Percentage of female senior managers | % | 16.6 | 17.4 | 18 | 90 | |
Percentage of female specialists | % | 54.6 | 55.4 | 55.6 | 90 | |
Percentage of female workers | % | 20.3 | 20.2 | 20.1 | 90 | |
Percentage of full-time employees | % | 98.8 | 98.9 | 92.1 | 91 | |
Percentage of full-time employees in Russia | % | 99.7 | 99.7 | 98.8 | 91 | |
Percentage of full-time employees in other countries | % | 91.8 | 95 | 57.2 | 91 | |
Percentage of new recruitments | % | 13.8 | 14.1 | 10.9 | 89 | |
Percentage of new recruitments - Female | % | 24.4 | 26.6 | 27.3 | 89 | |
Percentage of new recruitments - Male | % | 75.6 | 73.4 | 72.7 | 89 | |
Percentage of part-time employees | % | 1.2 | 1.1 | 2.9 | 92 | |
Percentage of part-time employees in Russia | % | 0.3 | 0.3 | 0.2 | 92 | |
Percentage of part-time employees in other countries | % | 5.2 | 5 | 16 | 92 | |
Permanent contract | number | 51042 | 53447 | 54540 | 90 | |
Permanent contract Armenia | number | 671 | 644 | 606 | 90 | |
Permanent contract Armenia Female | number | 83 | 53 | 38 | 90 | |
Permanent contract Armenia Male | number | 588 | 591 | 568 | 90 | |
Permanent contract Female | number | 12558 | 12922 | 13424 | 90 | |
Permanent contract Guinea | number | 2652 | 3250 | 3272 | 90 | |
Permanent contract Guinea Female | number | 154 | 178 | 177 | 90 | |
Permanent contract Guinea Male | number | 2498 | 3072 | 3095 | 90 | |
Permanent contract Guyana | number | 122 | 108 | 95 | 90 | |
Permanent contract Guyana Female | number | 26 | 21 | 17 | 90 | |
Permanent contract Guyana Male | number | 100 | 87 | 78 | 90 | |
Permanent contract Ireland | number | 452 | 439 | 434 | 90 | |
Permanent contract Ireland Female | number | 35 | 33 | 33 | 90 | |
Permanent contract Ireland Male | number | 417 | 406 | 401 | 90 | |
Permanent contract Male | number | 38544 | 40625 | 41576 | 90 | |
Permanent contract Russia | number | 43985 | 45402 | 46864 | 90 | |
Permanent contract Russia Female | number | 11501 | 11859 | 12380 | 90 | |
Permanent contract Russia Male | number | 32484 | 33543 | 34484 | 90 | |
Permanent contract Sweden | number | 425 | 440 | 444 | 90 | |
Permanent contract Sweden Female | number | 52 | 52 | 52 | 90 | |
Permanent contract Sweden Male | number | 373 | 388 | 392 | 90 | |
Permanent contract Ukraine | number | 2653 | 2708 | 2566 | 90 | |
Permanent contract Ukraine Female | number | 636 | 648 | 590 | 90 | |
Permanent contract Ukraine Male | number | 2017 | 2060 | 1976 | 90 | |
Proportion of senior management staff hired from the local community, Other countries | % | 61.6 | 60.8 | 64.6 | 93 | |
Proportion of senior management staff hired from the local community, Russia | % | 99.8 | 99.8 | 99.8 | 93 | |
Proportion of senior management staff hired from the local community, Total | % | 90.3 | 90.4 | 90.9 | 93 | |
RUSAL minimum entry level salaries, Armenia, Female | USD | 435 | 439 | 564 | 92 | |
RUSAL minimum entry level salaries, Armenia, Male | USD | 444 | 439 | 564 | 92 | |
RUSAL minimum entry level salaries, Guinea, Female | USD | 70 | 69 | 77 | 92 | |
RUSAL minimum entry level salaries, Guinea, Male | USD | n/a | 69 | 77 | 92 | |
RUSAL minimum entry level salaries, Guyana, Female | USD | 568 | 556 | 554 | 92 | |
RUSAL minimum entry level salaries, Guyana, Male | USD | n/a | 603 | 605 | 92 | |
RUSAL minimum entry level salaries, Jamaica, Female | USD | 331 | 313 | 345 | 92 | |
RUSAL minimum entry level salaries, Jamaica, Male | USD | n/a | 313 | 347 | 92 | |
RUSAL minimum entry level salaries, Russia, Female | USD | n/a | 246 | 321 | 92 | |
RUSAL minimum entry level salaries, Russia, Male | USD | n/a | 246 | 321 | 92 | |
RUSAL minimum entry level salaries, Ukraine, Female | USD | 185 | 238 | 207 | 92 | |
RUSAL minimum entry level salaries, Ukraine, Male | USD | n/a | 218 | 207 | 92 | |
RUSAL minimum entry level salary vs regional minimum, Armenia | coefficient | 2.3 | 2.3 | 2.6 | 93 | |
RUSAL minimum entry level salary vs regional minimum, Guinea | coefficient | 1.5 | 1.5 | 1.2 | 93 | |
RUSAL minimum entry level salary vs regional minimum, Guyana | coefficient | 2.7 | 2.6 | 1.9 | 93 | |
RUSAL minimum entry level salary vs regional minimum, Jamaica | coefficient | 1.5 | 1.6 | 1.4 | 93 | |
RUSAL minimum entry level salary vs regional minimum, Nigeria | coefficient | 1.8 | 1.9 | 1.8 | 93 | |
RUSAL minimum entry level salary vs regional minimum, Russia | coefficient | 1.1 | 1.4 | 1.4 | 93 | |
RUSAL minimum entry level salary vs regional minimum, Ukraine | coefficient | 1 | 1 | 1 | 93 | |
Remuneration amount (including basic salary, performance-related salary, incentive salary and Directors’ bonuses) | USD, thsd | 7333 | 7629 | 7817 | 95 | |
Remuneration to Executive Directors | USD, thsd | 2998 | 2965 | 3567 | 95 | |
Remuneration to Independent Non-executive Directors | USD, thsd | 3534 | 3775 | 3609 | 95 | |
Remuneration to Non-executive Directors | USD, thsd | 861 | 889 | 641 | 95 | |
Retained economic value | USD, mln | 1377 | 3348 | 1982 | 86 | |
Retirement costs | USD, mln | 160 | 196 | 247 | 86 | |
Russia - Employees | number | 6805 | 7327 | 5747 | 89 | |
Russia - Employees 30 to 50 years old | number | 3796 | 4109 | 3205 | 89 | |
Russia - Employees over 50 years old | number | 652 | 554 | 430 | 89 | |
Russia - Employees under 30 years old | number | 2357 | 2664 | 2112 | 89 | |
Russia - Female employees | number | 12526 | 13079 | 13585 | 89 | |
Russia - Male employees | number | 33493 | 34794 | 35728 | 89 | |
Russia - Total employees | number | 46019 | 47873 | 49313 | 89 | |
Senior managers | number | 643 | 656 | 690 | 90 | |
Senior managers 30 to 50 years old | number | 406 | 395 | 424 | 90 | |
Senior managers over 50 years old | number | 234 | 260 | 265 | 90 | |
Senior managers under 30 years old | number | 3 | 1 | 1 | 90 | |
Share of senior managers recruited from the local population: Other countries | % | 61.6 | 60.8 | 64.57 | 40 | |
Share of senior managers recruited from the local population: Russia | % | 98 | 98 | 98.1 | 40 | |
SignAL hotline reports: Labour relations | number | 245 | 213 | 126 | 95 | |
Specialists | number | 6974 | 7880 | 8179 | 90 | |
Specialists 30 to 50 years old | number | 4503 | 5252 | 5422 | 90 | |
Specialists over 50 years old | number | 1549 | 1560 | 1896 | 90 | |
Specialists under 30 years old | number | 922 | 808 | 861 | 90 | |
Sweden - Female employees | number | 65 | 62 | 55 | 89 | |
Sweden - Male employees | number | 431 | 426 | 404 | 89 | |
Sweden - Total employees | number | 496 | 488 | 459 | 89 | |
TOTAL MANPOWER AT THE END OF THE REPORTING PERIOD | number | 56150 | 57933 | 59463 | 89 | |
Tenure on the Board of Directors: 2 to 5 years | number | 3 | 9 | 8 | 95 | |
Tenure on the Board of Directors: over 5 years | number | 1 | 3 | 2 | 95 | |
Tenure on the Board of Directors: up to 2 years | number | 10 | 2 | 3 | 95 | |
Total number of employees by country: Armenia | persons | 649 | 40 | |||
Total number of employees by country: Germany | persons | 230 | 40 | |||
Total number of employees by country: Guinea | persons | 3849 | 40 | |||
Total number of employees by country: Ireland | persons | 459 | 40 | |||
Total number of employees by country: Italy | persons | 217 | 40 | |||
Total number of employees by country: Jamaica | persons | 1166 | 40 | |||
Total number of employees by country: Nigeria | persons | 121 | 40 | |||
Total number of employees by country: Other | persons | 251 | 40 | |||
Total number of employees by country: Russia | persons | 49313 | 40 | |||
Total number of employees by country: Sweden | persons | 459 | 40 | |||
Total number of employees by country: Ukraine | persons | 2749 | 40 | |||
Total number of employees entitled to parental leave, Female | number | 1615 | 1534 | 1275 | 93 | |
Total number of employees entitled to parental leave, Male | number | 5793 | 5560 | 4649 | 93 | |
Total number of employees that returned to work after parental leave ended and were still employed 12 months after their return, Female | number | 233 | 203 | 221 | 93 | |
Total number of employees that returned to work after parental leave ended and were still employed 12 months after their return, Male | number | 9 | 12 | 6 | 93 | |
Total number of employees that returned to work after parental leave ended, Female | number | 249 | 267 | 300 | 93 | |
Total number of employees that returned to work after parental leave ended, Male | number | 17 | 13 | 17 | 93 | |
Total number of employees that took parental leave, Female | number | 363 | 291 | 320 | 93 | |
Total number of employees that took parental leave, Male | number | 25 | 2 | 1 | 93 | |
Ukraine - Female employees | number | 677 | 684 | 626 | 89 | |
Ukraine - Male employees | number | 2208 | 2215 | 2123 | 89 | |
Ukraine - Total employees | number | 2885 | 2899 | 2749 | 89 | |
Workers | number | 44265 | 45063 | 45904 | 90 | |
Workers 30 to 50 years old | number | 22195 | 21780 | 28406 | 90 | |
Workers over 50 years old | number | 9744 | 9998 | 10490 | 90 | |
Workers under 30 years old | number | 7326 | 7265 | 6808 | 90 | |
Working and leisure - Achinsk District (Krasnoyarsk Krai) | 54 | 60 | ||||
Working and leisure - Kandalaksha (Murmansk Region) | 29 | 60 | ||||
Working and leisure - Krasnoyarsk (Krasnoyarsk Krai) | 43 | 60 | ||||
Working and leisure - Novokuznetsk (Kemerovo Region) | 47 | 60 | ||||
Working and leisure - Sayanogorsk (Republic of Khakassia) | 35 | 60 | ||||
Working and leisure - Severouralsk (Sverdlovsk Region) | 40 | 60 | ||||
Working and leisure - Sharypovsky District (Krasnoyarsk Krai) | 75 | 60 | ||||
Working and leisure - Volgograd (Volgograd Region) | 39 | 60 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Employee turnover | % | 10.9 | 10.4 | 9.5 | 40 |
Retention rate of employees that took parental leave, Female | % | 86 | 81.5 | 82.8 | 93 |
Retention rate of employees that took parental leave, Male | % | 81.8 | 70.6 | 46.2 | 93 |
Turnover rate | % | 10.9 | 10.6 | 9.5 | 89 |
Turnover rate by age group - Employees 30 to 50 years old | % | 9 | 8.3 | 7.1 | 89 |
Turnover rate by age group - Employees over 50 years old | % | 12 | 11.5 | 10.9 | 89 |
Turnover rate by age group - Employees under 30 years old | % | 17.5 | 19.2 | 18.4 | 89 |
Turnover rate by region and age - Other countries, including - Female | % | 11.8 | 15.1 | 13.3 | 89 |
Turnover rate by region and age - Other countries, including - Female 30 to 50 years old | % | 6.9 | 4.3 | 8.7 | 89 |
Turnover rate by region and age - Other countries, including - Female over 50 years old | % | 12.1 | 10.1 | 8 | 89 |
Turnover rate by region and age - Other countries, including - Female under 30 years old | % | 8.1 | 7.5 | 13.3 | 89 |
Turnover rate by region and age - Other countries, including - Male | % | 12.3 | 10 | 8 | 89 |
Turnover rate by region and age - Other countries, including - Male 30 to 50 years old | % | 9.9 | 6.1 | 4.7 | 89 |
Turnover rate by region and age - Other countries, including - Male over 50 years old | % | 13.3 | 11.6 | 13.7 | 89 |
Turnover rate by region and age - Other countries, including - Male under 30 years old | % | 10.2 | 16.3 | 11.1 | 89 |
Turnover rate by region and age - Russia, including - Female | % | 10.8 | 11 | 9.7 | 89 |
Turnover rate by region and age - Russia, including - Female 30 to 50 years old | % | 8.2 | 8.9 | 7.9 | 89 |
Turnover rate by region and age - Russia, including - Female over 50 years old | % | 10.8 | 10.3 | 8.8 | 89 |
Turnover rate by region and age - Russia, including - Female under 30 years old | % | 20 | 21.4 | 21 | 89 |
Turnover rate by region and age - Russia, including - Male | % | 10.8 | 11.1 | 9.7 | 89 |
Turnover rate by region and age - Russia, including - Male 30 to 50 years old | % | 8.4 | 8.7 | 7.5 | 89 |
Turnover rate by region and age - Russia, including - Male over 50 years old | % | 12.4 | 12.1 | 10.5 | 89 |
Turnover rate by region and age - Russia, including - Male under 30 years old | % | 16.3 | 19.4 | 18.8 | 89 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Employee fatality rate | rate | 0.005 | 0.015 | 0.008 | 94 | |||||
LTAFR (employees) | rate | 0.2 | 0.18 | 0.13 | 94 | |||||
LTIFR (employees) | rate | 0.207 | 0.16 | 0.18 | 94 | |||||
LTIFR (including the main contractor ECM LLC) | rate | 0.18 | 0.15 | 0.15 | 94 | |||||
LTIFR per 200000 man-hours | 0.21 | 0.18 | 0.15 | 0.15 | 53 | |||||
Number of accidents recorded among RUSAL employees | cases | 85 | 54 | |||||||
Number of accidents recorded among employees of contracting organizations | cases | 22 | 54 | |||||||
Number of fatalities among RUSAL employees | 4 | 5 | 7 | 5 | 53 | |||||
Number of fatalities among contractors | 3 | 2 | 5 | 53 | ||||||
Number of fatalities caused by work-related injuries (contractors) | number | 5 | 5 | 1 | 94 | |||||
Number of fatalities caused by work-related injuries (employees) | number | 2 | 7 | 4 | 94 | |||||
Number of high-consequence work-related injuries (less the contractors) - Contractors | number | 7 | 11 | 6 | 94 | |||||
Number of high-consequence work-related injuries (less the contractors) - RUSAL (employees) | number | 18 | 16 | 18 | 94 | |||||
Number of micro-injuries at ECM LLC | cases | 3 | 54 | |||||||
Number of micro-injuries at all RUSAL enterprises | cases | 198 | 54 | |||||||
Number of microtraumas at contractors | cases | 10 | 54 | |||||||
Number of occupational diseases | 113 | 100 | 114 | 123 | 56 | |||||
Number of work-related injuries (employees) | number | 85 | 85 | 85 | 94 | |||||
Registered accidents among RUSAL employees and contractors: Fatal injury (Contractors) | 1 | 53 | ||||||||
Registered accidents among RUSAL employees and contractors: Fatal injury (RUSAL employees) | 1 | 53 | ||||||||
Severe injury rate | rate | 0.06 | 0.06 | 0.05 | 94 | |||||
Total rate of incidents recorded (TRIR) | rate | 0.27 | 0.27 | 0.23 | 94 | |||||
World Lost Time Frequency Rate (International Aluminium Institute) | 0.26 | 0.26 | 0.38 | 0.32 | 0.19 | 0.2 | 0.26 | 0.25 | 54 |
Lost days due to work injury.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Decrease in lost work days compared to 2021 | %, points | -1 | 56 | |||||||
Largest number of lost-time days per employee (Directorate of New Projects) | days | 10.56 | 56 | |||||||
Level of sickness at the 1st of the employee in 2022 | days | 8.27 | 56 | |||||||
Lost Time Frequency Rate (LTFR) fact | 0.22 | 0.21 | 0.2 | 0.19 | 0.22 | 0.2 | 0.18 | 0.18 | 54 | |
Lost Time Frequency Rate (LTFR) plan | 0.17 | 0.18 | 0.15 | 0.16 | 0.15 | 0.15 | 0.15 | 0.15 | 54 | |
Lost days due to work injury | number | 6835 | 5847 | 4686 | 94 | |||||
Lowest number of days of disability (Finance Directorate) | days | 1.03 | 56 | |||||||
Registered accidents among RUSAL employees and contractors: Minor injury with temporary disability (Contractors) | 11 | 53 | ||||||||
Registered accidents among RUSAL employees and contractors: Minor injury with temporary disability (RUSAL employees) | 63 | 53 | ||||||||
Registered accidents among RUSAL employees and contractors: Severe injury with temporary disability (Contractors) | 4 | 53 | ||||||||
Registered accidents among RUSAL employees and contractors: Severe injury with temporary disability (RUSAL employees) | 10 | 53 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|
Cases of occupational diseases | number | 100 | 114 | 74 | 94 | |
Number of dangerous actions identified at RUSAL enterprises | cases | 12943 | 11506 | 13462 | 54 | |
Number of dangerous actions identified at RUSAL enterprises (including ECM LLC) | cases | 24136 | 54 | |||
Number of dangerous situations identified at RUSAL enterprises | cases | 313619 | 332783 | 353531 | 376105 | 54 |
Return to work rate of employees that took parental leave, Female | % | 85 | 84 | 80.9 | 93 | |
Return to work rate of employees that took parental leave, Male | % | 84.7 | 92.9 | 81 | 93 | |
Share of temporary disability due to breast diseases | % | 37.31 | 56 | |||
Share of temporary disability due to domestic injuries | % | 18 | 56 | |||
Share of temporary disability due to musculoskeletal diseases | % | 21.48 | 56 | |||
SignAL hotline reports: Environment, occupational health and safety | number | 22 | 29 | 42 | 95 | |
Structure of registered occupational diseases: Chronic intoxication with fluorine compounds | % | 34 | 56 | |||
Structure of registered occupational diseases: Occupational bronchitis, asthma | % | 2 | 56 | |||
Structure of registered occupational diseases: Other | % | 5 | 56 | |||
Structure of registered occupational diseases: Periarthrosis, osteoarthritis | % | 14 | 56 | |||
Structure of registered occupational diseases: Polyneuropathy, radiculopathy | % | 4 | 56 | |||
Structure of registered occupational diseases: Sensorineural hearing loss | % | 5 | 56 | |||
Structure of registered occupational diseases: Vibration disease | % | 40 | 56 | |||
Workers covered by the occupational health and safety management system - Contractors | % | 100 | 100 | 100 | 94 | |
Workers covered by the occupational health and safety management system - RUSAL | % | 100 | 100 | 100 | 94 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Distance training - Number of participants | persons | 5700 | 6221 | 2337 | 96 |
Economic effect of the Kaizen proposals and projects | USD million | 8.45 | 14.77 | 11.31 | 96 |
Employees received training in activities and courses | employees | 23553 | 18 | ||
Employees who have received training on 'Declaration of Conflict of Interest by Company Employees' | number | 3500 | 3755 | 5249 | 95 |
External training - Number of participants | persons | 70 | 79 | 70 | 96 |
Internal training - Number of participants | persons | 4300 | 6718 | 7045 | 96 |
Number of Kaizen Workshops | number | 10 | 10 | 10 | 96 |
Number of implemented improvements proposed by employees | number | 11515 | 11903 | 11426 | 96 |
Number of improvements proposed by employees | number | 11816 | 12774 | 12787 | 96 |
Number of practical trainings on various topics in organising and improving the production process | number | 312 | 367 | 428 | 96 |
Percentage of employees trained - Female | % | 23 | 27 | 29 | 94 |
Percentage of employees trained - Male | % | 11 | 15 | 50 | 94 |
Percentage of employees trained - Managers | % | 36.7 | 60.02 | 65.9 | 94 |
Percentage of employees trained - Specialists | % | 55.6 | 65.5 | 83.6 | 94 |
Percentage of employees trained - Workers | % | 2.8 | 5.21 | 36.6 | 94 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Average number of training hours per female employee per year | hours | 3.65 | 3.9 | 15.7 | 94 |
Average number of training hours per male employee per year | hours | 1.6 | 1.75 | 20.5 | 94 |
Average number of training hours per manager per year | hours | 6.4 | 7.3 | 21 | 94 |
Average number of training hours per specialist per year | hours | 11.9 | 11.3 | 23 | 94 |
Average number of training hours per worker per year | hours | 0.1 | 0.145 | 19 | 94 |
Average training hours per employee per year | hours | 2.1 | 2.3 | 19.3 | 94 |
Description of measures to review employment practices to avoid child and forced labour.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Civil rights - Novokuznetsk (Kemerovo Region) | 64 | 60 | |
Civil rights - Sayanogorsk (Republic of Khakassia) | 29 | 60 | |
Civil rights - Severouralsk (Sverdlovsk Region) | 40 | 60 | |
Civil rights - Sharypovsky District (Krasnoyarsk Krai) | 62 | 60 | |
Civil rights - Volgograd (Volgograd Region) | 65 | 60 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Number of in-plant projects | number | 259 | 205 | 198 | 96 |
Number of projects aimed at the BS development | number | 107 | 94 | 112 | 96 |
Purchases from local suppliers | USD mln | 2269 | 2709 | 2714 | 96 |
Purchases from local suppliers - Alumina Division | USD mln | 508 | 870 | 1344 | 96 |
Purchases from local suppliers - Aluminium Division | USD mln | 1564 | 1533 | 1388 | 96 |
Purchases from local suppliers - Downstream Division | USD mln | 32 | 28 | 114 | 96 |
Purchases from local suppliers - Management company | USD mln | 166 | 272 | 1318 | 96 |
Purchases from local suppliers - New Projects Directorate | USD mln | 6 | 21 | 96 | |
Purchases from suppliers | USD mln | 6881 | 8574 | 7802 | 96 |
Purchases from suppliers - Alumina Division | USD mln | 1584 | 1887 | 1602 | 96 |
Purchases from suppliers - Aluminium Division | USD mln | 4065 | 4440 | 3545 | 96 |
Purchases from suppliers - Downstream Division | USD mln | 104 | 87 | 116 | 96 |
Purchases from suppliers - Management company | USD mln | 1123 | 2138 | 2554 | 96 |
Purchases from suppliers - New Projects Directorate | USD mln | 5 | 22 | 21 | 96 |
Share of purchases from local suppliers in total purchases | % | 33 | 32 | 35 | 96 |
Share of purchases from local suppliers in total purchases - Alumina Division | % | 32 | 46 | 48 | 96 |
Share of purchases from local suppliers in total purchases - Aluminium Division | % | 38 | 35 | 42 | 96 |
Share of purchases from local suppliers in total purchases - Downstream Division | % | 30 | 33 | 80 | 96 |
Share of purchases from local suppliers in total purchases - Managing Company | % | 8 | 13 | 52 | 96 |
Share of purchases from local suppliers in total purchases - New Projects Directorate | % | 27 | 29 | 96 | |
Total number of local suppliers | number | 2778 | 7691 | 7806 | 96 |
Total number of local suppliers - Alumina Division | number | 3216 | 3792 | 4194 | 96 |
Total number of local suppliers - Aluminium Division | number | 3022 | 3127 | 1055 | 96 |
Total number of local suppliers - Downstream Division | number | 1025 | 660 | 2039 | 96 |
Total number of local suppliers - Management company | number | 15 | 11 | 55 | 96 |
Total number of local suppliers - New Projects Directorate | number | 101 | 467 | 96 | |
Total number of suppliers | number | 14777 | 15619 | 11546 | 96 |
Total number of suppliers - Alumina Division | number | 6885 | 6827 | 5122 | 96 |
Total number of suppliers - Aluminium Division | number | 5799 | 6745 | 3480 | 96 |
Total number of suppliers - Downstream Division | number | 2282 | 1607 | 1624 | 96 |
Total number of suppliers - Management company | number | 105 | 111 | 99 | 96 |
Total number of suppliers - New Projects Directorate | number | 6 | 333 | 621 | 96 |
Total volume of ALLOW aluminium contracted | million tonnes | 1.2 | 35 |
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 | 2020 | 2021 | 2022 | 2025 | 2030 | 2035 | Report Pages |
---|---|---|---|---|---|---|---|---|
Share of suppliers to have a covered initial at least 80% suppliers and subsequent audits | percent | 80 | 80 | 80 | 13 | |||
SignAL hotline reports: Relationship with counterparties | number | 21 | 29 | 42 | 95 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
100% of raw coke suppliers were covered by ESG maturity assessment | % | 100 | 18 | ||
18 enterprises were certified to ASI standards (Performance Standard and Chain of Custody) | enterprises | 18 | 18 | ||
Number of supplier audits performed on sustainability compliance issues, including human rights violations | number | 64 | 84 | 55 | 96 |
Number of suppliers assessed against social criteria as part of supplier audits | number | 21 | 339 | 250 | 96 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Total number of cases of non-compliance with the rules and/or voluntary codes related to information on goods and services, as well as labelling of goods | number | 5 | 4 | 96 | |
Total volume of products supplied at year end (aside of primary aluminium and alloys) | tonnes | 3925871 | 3903981 | 3896399 | 86 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Number of RUSAL clients purchased ALLOW products | 235 | 35 | |||
Sales increase of ALLOW products compared to 2021 | % | 25.6 | 35 | ||
Satisfaction - Achinsk District (Krasnoyarsk Krai) | 47 | 60 | |||
Satisfaction - Kandalaksha (Murmansk Region) | 47 | 60 | |||
Satisfaction - Krasnoyarsk (Krasnoyarsk Krai) | 59 | 60 | |||
Satisfaction - Novokuznetsk (Kemerovo Region) | 44 | 60 | |||
Satisfaction - Sayanogorsk (Republic of Khakassia) | 51 | 60 | |||
Satisfaction - Severouralsk (Sverdlovsk Region) | 58 | 60 | |||
Satisfaction - Sharypovsky District (Krasnoyarsk Krai) | 41 | 60 | |||
Satisfaction - Volgograd (Volgograd Region) | 64 | 60 | |||
SignAL hotline reports: Insufficient use of the Company’s assets | number | 81 | 149 | 71 | 95 |
SignAL hotline reports: Other | number | 54 | 192 | 24 | 95 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Total net sales or year end | USD, mln | 8566 | 11994 | 13974 | 86 |
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 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Capitalisation value at year end (including borrowed capital loans and borrowings, including bonds) | USD, mln | 7792 | 6733 | 9457 | 86 |
Capitalisation value at year end (including equity) | USD, mln | 6543 | 10524 | 12307 | 86 |
Distributed economic value | USD, mln | 8198 | 10496 | 13626 | 86 |
Interest income on loans | USD, mln | 33 | 43 | 79 | 86 |
Number of completed and initiated corruption cases against the issuer or its employees during the reporting period | number | 1 | 95 | ||
Payments to providers of capital | USD, mln | 499 | 364 | 727 | 86 |
Payments to the government | USD, mln | 85 | 389 | 366 | 86 |
Security - Achinsk District (Krasnoyarsk Krai) | 29 | 60 | |||
Security - Kandalaksha (Murmansk Region) | 46 | 60 | |||
Security - Krasnoyarsk (Krasnoyarsk Krai) | 53 | 60 | |||
Security - Novokuznetsk (Kemerovo Region) | 39 | 60 | |||
Security - Sayanogorsk (Republic of Khakassia) | 57 | 60 | |||
Security - Severouralsk (Sverdlovsk Region) | 84 | 60 | |||
Security - Sharypovsky District (Krasnoyarsk Krai) | 51 | 60 | |||
Security - Volgograd (Volgograd Region) | 61 | 60 | |||
Significant fines due to violation of antitrust laws | USD | n/a | 95 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2020 | 2021 | 2022 | 2025 | 2030 | 2035 | Report Pages |
---|---|---|---|---|---|---|---|---|
Business partners informed about the organisation’s anti-corruption policies and methods | % | 100 | 100 | 100 | 95 | |||
Company's practices are consistently recognised as meeting the highest international ESG standards, including leadership in the ESG ratings | top-10 | top-5 | top-3 | 13 | ||||
Employees informed about the organisation’s anti-corruption policies and methods | number | 30953 | 5793 | 6023 | 95 | |||
Members of governing bodies informed about the organisation’s anti-corruption policies and methods | % | 100 | 100 | 95 | ||||
Number of Board meetings | number | 36 | 29 | 37 | 95 | |||
Number of confirmed violations of internal codes of business conduct | number | 4 | 4 | 95 | ||||
Number of conflict of interest declarations received | number | 3300 | 3755 | 4643 | 95 | |||
Total number of reports to the SignAL hotline | number | 426 | 612 | 305 | 95 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Employees trained in anti-corruption policies and techniques | number | 30953 | 1817 | 2043 | 95 |
Total number of directors on the Board | number | 14 | 14 | 13 | 95 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
33% share of investment in education of projects (Corporate Philanthropy Leaders Rating) | % | 33 | 18 | ||
Breakdown of funds allocated for social investments by destination: Culture | million USD | 1.42 | 62 | ||
Breakdown of funds allocated for social investments by destination: Educational projects | million USD | 2.75 | 62 | ||
Breakdown of funds allocated for social investments by destination: Environment | million USD | 1.28 | 62 | ||
Breakdown of funds allocated for social investments by destination: Healthcare | million USD | 5.63 | 62 | ||
Breakdown of funds allocated for social investments by destination: Other | million USD | 11.9 | 62 | ||
Breakdown of funds allocated for social investments by destination: Social care | million USD | 1.25 | 62 | ||
Breakdown of funds allocated for social investments by destination: Social infrastructure and urban environment | million USD | 8.16 | 62 | ||
Breakdown of funds allocated for social investments by destination: Sports projects | million USD | 2.19 | 62 | ||
Breakdown of funds allocated for social investments by destination: Volunteering | million USD | 0.41 | 62 | ||
Civil rights - Achinsk District (Krasnoyarsk Krai) | 54 | 60 | |||
Civil rights - Kandalaksha (Murmansk Region) | 14 | 60 | |||
Civil rights - Krasnoyarsk (Krasnoyarsk Krai) | 46 | 60 | |||
Education - Achinsk District (Krasnoyarsk Krai) | 50 | 60 | |||
Education - Kandalaksha (Murmansk Region) | 62 | 60 | |||
Education - Krasnoyarsk (Krasnoyarsk Krai) | 35 | 60 | |||
Education - Novokuznetsk (Kemerovo Region) | 45 | 60 | |||
Education - Sayanogorsk (Republic of Khakassia) | 43 | 60 | |||
Education - Severouralsk (Sverdlovsk Region) | 47 | 60 | |||
Education - Sharypovsky District (Krasnoyarsk Krai) | 34 | 60 | |||
Education - Volgograd (Volgograd Region) | 47 | 60 | |||
Health - Achinsk District (Krasnoyarsk Krai) | 62 | 60 | |||
Health - Kandalaksha (Murmansk Region) | 41 | 60 | |||
Health - Krasnoyarsk (Krasnoyarsk Krai) | 50 | 60 | |||
Health - Novokuznetsk (Kemerovo Region) | 52 | 60 | |||
Health - Sayanogorsk (Republic of Khakassia) | 56 | 60 | |||
Health - Severouralsk (Sverdlovsk Region) | 38 | 60 | |||
Health - Sharypovsky District (Krasnoyarsk Krai) | 46 | 60 | |||
Health - Volgograd (Volgograd Region) | 63 | 60 | |||
Housing conditions - Achinsk District (Krasnoyarsk Krai) | 53 | 60 | |||
Housing conditions - Kandalaksha (Murmansk Region) | 56 | 60 | |||
Housing conditions - Krasnoyarsk (Krasnoyarsk Krai) | 42 | 60 | |||
Housing conditions - Novokuznetsk (Kemerovo Region) | 34 | 60 | |||
Housing conditions - Sayanogorsk (Republic of Khakassia) | 51 | 60 | |||
Housing conditions - Severouralsk (Sverdlovsk Region) | 77 | 60 | |||
Housing conditions - Sharypovsky District (Krasnoyarsk Krai) | 62 | 60 | |||
Housing conditions - Volgograd (Volgograd Region) | 28 | 60 | |||
Improvement of the Year Competition - Number of participants | persons | 1146 | 1232 | 1303 | 96 |
Public amenities - Achinsk District (Krasnoyarsk Krai) | 66 | 60 | |||
Public amenities - Kandalaksha (Murmansk Region) | 74 | 60 | |||
Public amenities - Krasnoyarsk (Krasnoyarsk Krai) | 85 | 60 | |||
Public amenities - Novokuznetsk (Kemerovo Region) | 79 | 60 | |||
Public amenities - Sayanogorsk (Republic of Khakassia) | 31 | 60 | |||
Public amenities - Severouralsk (Sverdlovsk Region) | 58 | 60 | |||
Public amenities - Sharypovsky District (Krasnoyarsk Krai) | 80 | 60 | |||
Public amenities - Volgograd (Volgograd Region) | 62 | 60 | |||
Society - Achinsk District (Krasnoyarsk Krai) | 55 | 60 | |||
Society - Kandalaksha (Murmansk Region) | 19 | 60 | |||
Society - Krasnoyarsk (Krasnoyarsk Krai) | 21 | 60 | |||
Society - Novokuznetsk (Kemerovo Region) | 33 | 60 | |||
Society - Sayanogorsk (Republic of Khakassia) | 55 | 60 | |||
Society - Severouralsk (Sverdlovsk Region) | 31 | 60 | |||
Society - Sharypovsky District (Krasnoyarsk Krai) | 64 | 60 | |||
Society - Volgograd (Volgograd Region) | 88 | 60 | |||
Total Index score - Achinsk District (Krasnoyarsk Krai) | 48 | 60 | |||
Total Index score - Kandalaksha (Murmansk Region) | 47 | 60 | |||
Total Index score - Krasnoyarsk (Krasnoyarsk Krai) | 50 | 60 | |||
Total Index score - Novokuznetsk (Kemerovo Region) | 48 | 60 | |||
Total Index score - Sayanogorsk (Republic of Khakassia) | 49 | 60 | |||
Total Index score - Severouralsk (Sverdlovsk Region) | 48 | 60 | |||
Total Index score - Sharypovsky District (Krasnoyarsk Krai) | 52 | 60 | |||
Total Index score - Volgograd (Volgograd Region) | 55 | 60 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2019–2022 | 2020 | 2021 | 2021–2023 | 2022 | 2022–2023 | 2022–2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
337 people participated in the Volunteer School online training series | people | 337 | 18 | ||||||
Construction of 30-bed Medical centre: Project budget | million RUB | 500 | 62 | ||||||
Construction of 30-bed Medical centre: RUSAL allocation for project implementation | million RUB | 50 | 62 | ||||||
Construction of martial arts sport centres: Amount earmarked for the project | million RUB | 800 | 62 | ||||||
Construction of martial arts sport centres: Investment in 2022 | million RUB | 400 | 62 | ||||||
Construction of martial arts sport centres: Project budget | billion RUB | 2.619 | 62 | ||||||
Direct economic value generated | USD, mln | 9575 | 13844 | 15608 | 86 | ||||
Improvement of a cross-country skiing track in Ramenskoye: Amount earmarked for the project | million RUB | 128 | 62 | ||||||
Improvement of a cross-country skiing track in Ramenskoye: Project budget | million RUB | 153 | 62 | ||||||
Operating costs | USD, mln | 7431 | 9502 | 12551 | 86 | ||||
Project to select and arrange for purchase of kits to be renovated and equip them for the use by out-of-town teachers and doctors: Investment in 2022 | million RUB | 110 | 62 | ||||||
Project to select and arrange for purchase of kits to be renovated and equip them for the use by out-of-town teachers and doctors: Project budget | million RUB | 816 | 62 | ||||||
Quantum children's technology park: Investment in 2022 | million RUB | 80 | 62 | ||||||
Quantum children's technology park: Project budget | million RUB | 774 | 62 | ||||||
Revenue | USD, mln | 8566 | 11994 | 13974 | 86 | ||||
Setting up and equipping a Centre for Leisure and Development (Women's Happiness): Investment in 2022 | million RUB | 25 | 62 | ||||||
Setting up and equipping a Centre for Leisure and Development (Women's Happiness): Project budget | million RUB | 120 | 62 | ||||||
Social investments by category - Culture | % | 1.1 | 2.9 | 3.8 | 94 | ||||
Social investments by category - Development of NPOs and local communities | % | N/A | 7.5 | 17 | 94 | ||||
Social investments by category - Education | % | 10.8 | 26.9 | 33.3 | 94 | ||||
Social investments by category - Environmental and animal protection | % | 1.7 | 2 | 2 | 94 | ||||
Social investments by category - Healthcare | % | 7.9 | 32.5 | 4.2 | 94 | ||||
Social investments by category - Social assistance and support | % | 8.2 | 19.3 | 14.2 | 94 | ||||
Social investments by category - Social infrastructure and urban environment | % | 8.1 | 8.9 | 8.2 | 94 | ||||
Social investments by category - Sports | % | 2.1 | 3.5 | 3.7 | 94 | ||||
Social investments by category - Volunteering | % | 0.1 | 1 | 1.2 | 94 | ||||
Social spending (charity) | USD, mln | 43 | 45 | 34 | 86 | ||||
Total economic effect of the BS implementation | USD million | 38.8 | 43.2 | 26.18 | 96 | ||||
Total social investments | USD, mln | 63 | 451.2 | 33.66 | 94 | ||||
USD 1.5 million were allocated for scholarships for foreign students in Russia | million USD | 1.5 | 18 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | thousand tonnes | 36.3 | 35.9 | 36 |
NOâ‚“ Emissions | thousand tonnes | 20.4 | 22.7 | 19.9 |
SOâ‚“ Emissions | thousand tonnes | 40.1 | 45.1 | 41 |
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 | 2020 | 2021 | 2022 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 10022063 | 10491772 | 11041772 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 1803043 | 1779822 | 1214137 |
Scope 1 GHG Emissions Intensity (By Product Volume) | tonnes CO2e/tonne aluminum produced | 2.04 | 2.02 | 2 |
Total GHG Emissions | tonnes CO2e | 38698971 | 38591956 | 40576394 |
Total GHG Emissions Intensity (By Product Volume) | tonnes CO2e/tonne aluminum produced | 0.04 | 0.04 | 0.04 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2e per million USD | 4.507 | 3.243 | 2.904 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 26780751 | 28570349 | 28320486 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Hazardous Waste Disposed | mln tonnes | 0.11 | 0.04 | 0.02 |
Hazardous Waste Recycled | mln tonnes | 0.66 | 0.66 | 0.81 |
Total Hazardous Waste | million tonnes | 0.8 | 0.7 | 0.8 |
Total Hazardous Waste Intensity (By Unit Product) | tonnes/tonnes of aluminium produced | 0.23 | 0.18 | 0.2 |
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 |
---|---|---|---|---|
Non-Hazardous Waste Disposed | mln tonnes | 13.7 | 13.5 | 11.3 |
Non-Hazardous Waste Recycled | mln tonnes | 2.2 | 1.5 | 1.7 |
Total Non-Hazardous Waste Intensity (By Unit Product) | tonnes/tonnes of aluminium produced | 4.23 | 3.96 | 3.39 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2032 | 2050 |
---|---|---|---|
Target GHG Emissions Reduction Percentage by 2030 Compared to 2020 | % | 25 | |
Target GHG Emissions Reduction Percentage by 2050 Compared to 2020 | % | 47 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2030 |
---|---|---|
Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | percent | 10 |
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 | 2020 | 2021 | 2022 |
---|---|---|---|---|
Diesel Fuel Consumption | mln tonnes | 0.09 | 0.1 | 0.1 |
Energy Consumption Intensity (By Unit Product) | GJ/tonne | 6.51 | 6.53 | 1.19 |
Fossil Fuel Consumption | mln GJ | 212.6 | 232.2 | 217.5 |
Natural Gas Consumption | bn cubic m | 3.1 | 3.56 | 3.2 |
Percentage of Renewable Energy Consumption | % | 0.11 | 0.13 | 0.28 |
Purchased Electricity | mln GJ | 241.6 | 242.4 | 245.9 |
Purchased Heating | mln GJ | 2.9 | 3.4 | 3.7 |
Renewable Energy Consumption | mln GJ | 0.51 | 0.63 | 1.29 |
Total Electricity Consumption Intensity (By Unit Product) | kWh/tonne | 18083.48 | 18193.05 | 13055.52 |
Total Energy Consumption | mln GJ | 457.6 | 478.7 | 466.4 |
Total Indirect Energy Consumption | mln GJ | 241.6 | 242.4 | 245.9 |
Total Non-Renewable Fuel Consumption | mln GJ | 212.6 | 232.2 | 217.5 |
Total Purchased Energy | mln GJ | 241.6 | 242.4 | 245.9 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Discharge of Industrial Wastewater | mln cubic metres | 34.3 | 25.9 | 23.1 |
Groundwater Withdrawal | mln cubic metres | 7.7 | 4 | 12 |
Recycled Water Percentage | % | 92.6 | 91.5 | 91.5 |
Seawater Discharge | mln cubic metres | 22.8 | 22.7 | 22.8 |
Seawater Withdrawal | mln cubic metres | 22.8 | 23 | 22.8 |
Surface Water Withdrawal | mln cubic metres | 110.1 | 121.2 | 109.1 |
Total Water Withdrawal | million m³ | 176.8 | 178.4 | 172.7 |
Wastewater Discharge Intensity | cubic metres/tonnes of alumina produced | 4.2 | 3.1 | 3.88 |
Water Consumption | mln cubic metres | 113.6 | 116.1 | 112 |
Water Withdrawal Intensity | m³/tonnes of aluminium produced | 21.6 | 21.5 | 29 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2022 |
---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 1.4 |
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.
Standard Indicator | Unit | 2021 | 2022 |
---|---|---|---|
Wastewater Reduction Compared to Last Year | thousand m³ | -71 | -1 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2022 |
---|---|---|
Total Investment in Ecological Restoration | million USD | 125.5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Number of Employees Aged 30-50 | number | 34949 | 36407 | 37339 |
Number of Employees Aged Above 50 | number | 12829 | 13066 | 14074 |
Number of Employees Aged Below 30 | number | 8372 | 8440 | 7990 |
Number of Female Employees | number | 13711 | 14262 | 14546 |
Number of Full-time Employees | number | 55641 | 57308 | 57734 |
Number of Full-time Employees (Female) | number | 13711 | 14262 | 14546 |
Number of Full-time Employees (Male) | number | 41750 | 43046 | 43188 |
Number of General Employees | number | 44265 | 45063 | 45904 |
Number of Male Employees | number | 41750 | 43046 | 43188 |
Number of Middle Management Employees | number | 4288 | 4134 | 4090 |
Number of New Employees | number | 7723 | 8154 | 6480 |
Number of New Employees (Female) | number | 1885 | 2168 | 1769 |
Number of New Employees (Male) | number | 5838 | 5986 | 4711 |
Number of Part-time Employees | number | 689 | 625 | 1729 |
Number of Part-time Employees (Female) | number | 169 | 185 | 377 |
Number of Part-time Employees (Male) | number | 520 | 440 | 1352 |
Number of Senior Management Employees | number | 643 | 656 | 690 |
Number of Total Employees | persons | 56150 | 57933 | 59463 |
Percentage of Employees Aged 30-50 | % | 62.2 | 62.8 | 62.9 |
Percentage of Employees Aged Above 50 | % | 22.8 | 22.6 | 23.7 |
Percentage of Employees Aged Below 30 | % | 14.9 | 14.6 | 13.4 |
Percentage of Female Employees | % | 24.7 | 24.9 | 25 |
Percentage of Full-time Employees | % | 98.8 | 98.9 | 92.1 |
Percentage of Male Employees | % | 75.3 | 75.1 | 75 |
Percentage of New Employees | % | 13.8 | 14.1 | 10.9 |
Percentage of Part-time Employees | % | 1.2 | 1.1 | 2.9 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 86 | 81.5 | 82.8 |
Percentage of Employees still Employed 12 Months after Return to Work (Male) | % | 81.8 | 70.6 | 46.2 |
Turnover Rate of Employees Aged 30-50 | % | 9 | 8.3 | 7.1 |
Turnover Rate of Employees Aged Above 50 | % | 12 | 11.5 | 10.9 |
Turnover Rate of Employees Aged Below 30 | % | 17.5 | 19.2 | 18.4 |
Turnover Rate of Total Employees | % | 10.9 | 10.6 | 9.5 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | number | 7 | 7 | 12 | 5 |
Number of Work-related Fatalities | number | 7 | 7 | 12 | 5 |
Number of Work-related Fatalities for Contractors | number | 3 | 2 | 5 | |
Number of Work-related Fatalities for Direct Employee | number | 4 | 5 | 7 | 5 |
Work-related Fatalities Rate | rate | 0.005 | 0.015 | 0.008 |
Lost days due to work injury.
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|
Lost Days Due to Work-related Injuries | number | 6835 | 5847 | 4686 | |||||
Lost Time Injury Frequency Rate (LTIFR/LTIR) | 0.22 | 0.21 | 0.2 | 0.19 | 0.22 | 0.2 | 0.18 | 0.18 | |
Number of Work-related Injuries | 88 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Percentage of Trained Female Employees | % | 23 | 27 | 29 |
Percentage of Trained Male Employees | % | 11 | 15 | 50 |
Percentage of Trained Operational Employees | % | 2.8 | 5.21 | 36.6 |
Percentage of Trained Senior Management | % | 36.7 | 60.02 | 65.9 |
Percentage of Trained Technical Employees | % | 55.6 | 65.5 | 83.6 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 3.65 | 3.9 | 15.7 |
Average Training Hours (General Employees) | hours | 0.1 | 0.145 | 19 |
Average Training Hours (Male) | hours | 1.6 | 1.75 | 20.5 |
Average Training Hours (Senior Management) | hours | 6.4 | 7.3 | 21 |
Average Training Hours (Technical Employees) | hours | 11.9 | 11.3 | 23 |
Average Training Hours per Employee | hours | 2.1 | 2.3 | 19.3 |
Description of measures to review employment practices to avoid child and forced labour.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Violation Cases Related to Child Labour or Forced Labour | cases | 260 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Number of Local Suppliers | number | 2778 | 7691 | 7806 |
Number of Total Suppliers | number | 14777 | 15619 | 11546 |
Proportion of Spending on Local Suppliers | % | 33 | 32 | 35 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Standard Indicator | Unit | 2025 | 2030 | 2035 |
---|---|---|---|---|
Percentage of Critical Suppliers Covered by CSR Audit | percent | 80 | 80 | 80 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Number of Suppliers Participated in Sustainability Risk Assessment | number | 64 | 84 | 55 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Complaint Growth Rate | % | 152.59 | -72.14 | |
Total Number of Customer Complaints | number | 135 | 341 | 95 |
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.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Confirmed Incidents of Corruption | number | 1 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Percentage of Employees Anti-corruption Policies have been Communicated to | % | None | None | None |
Percentage of Suppliers Accepting Anti-corruption Policies | % | 100 | 100 | 100 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Number of General Employees Attendance for Anti-corruption Training | number | 30953 | 1817 | 2043 |
Number of People Participated in Ethical Standards and Anti-corruption Training | number | 30953 | 1817 | 2043 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Investment in Education Donation | million USD | 1.5 | ||
Number of Participations in Volunteer Activities | people | 337 | ||
Total Public Welfare Donations | USD, mln | 43 | 45 | 34 |
Total Social Investment | USD, mln | 63 | 451.2 | 33.66 |