SUSTAINABILITY REPORT 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Air emission by type of production (Alumina, excluding greenhouse gases) | thousand tonnes | 25.1 | 47 | ||
Air emission by type of production (Aluminium, excluding greenhouse gases) | thousand tonnes | 265.1 | 47 | ||
Air emission by type of production (Heat and electricity, excluding greenhouse gases) | thousand tonnes | 25.7 | 47 | ||
Air emission by type of production (Other, excluding greenhouse gases) | thousand tonnes | 31.6 | 47 | ||
Alumina Division wastewater discharges | thousand cubic metres | 2785.04 | 33327.97 | 34206.28 | 66 |
Atmospheric air protection expenditure | million USD | 70.9 | 43 | ||
Benzopyrene | thousand tonnes | 0.0041 | 0.004 | 0.0039 | 47 |
Change in total volume of air emissions excluding CO compared to 2018 | % | -4 | 46 | ||
Emissions of low-hazard carbon monoxide (CO) discharged into the atmosphere | thousand tonnes | 232.2 | 46 | ||
Nominally clean wastewater discharged into surface water | million cubic metres | 0.3 | 66 | ||
Other emissions | thousand tonnes | 10.4 | 10 | 10 | 47 |
PM (except Foadl, tarry substances, BaP) | thousand tonnes | 41.9 | 37.6 | 37.3 | 47 |
Polluted wastewater discharged into surface water | million cubic metres | 21.8 | 15.4 | 22 | 66 |
Polluted water output | million cubic metres | 22 | 43 | ||
Sulphur dioxide (SO2) | thousand tonnes | 36.2 | 36.4 | 42 | 47 |
Sum of Nitric oxides as nitrogen dioxide (NO2) | thousand tonnes | 20.9 | 19.6 | 19.5 | 47 |
Total fluoride (gaseous and solid fluoride) | thousand tonnes | 7.3 | 7 | 6.6 | 47 |
Total volume of air emissions excluding CO | thousand tonnes | 115.3 | 46 | ||
Total volume of air emissions, excluding greenhouse gases | thousand tonnes | 3474.5 | 46 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Average of specific direct and indirect greenhouse gas emissions by aluminium smelters | tonnes of CO2 equivalent per tonne of aluminium | 22 | 50 | ||
CH4 emissions | tonnes CO2-e | 22542 | 21998 | 22420 | 52 |
CO2 emissions | tonnes CO2-e | 23568746 | 22168033 | 24522119 | 52 |
Direct (Scope 1) specific GHG emissions in electrolysis operations, per tonne of aluminium produced | tonnes CO2-e per tonne of aluminium produced | 2.2 | 2.11 | 2.03 | 66 |
Direct Scope 1 GHG emissions, Aluminium Division | tonnes CO2-e | 9064796 | 8727655 | 8819639 | 66 |
Direct Scope 1 GHG emissions, Other production | tonnes CO2-e | 16945225 | 15312744 | 17255471 | 66 |
Indirect Scope 2 GHG emissions, Aluminium Division | tonnes CO2-e | 1633524 | 877668 | 748960 | 66 |
Indirect Scope 2 GHG emissions, Other production | tonnes CO2-e | 1403963 | 1117081 | 1289901 | 66 |
Largest aluminium producer by primary production output in the world | rd | 3 | 6 | ||
N2O emissions | tonnes CO2-e | 55973 | 49099 | 51450 | 52 |
Perfluorocarbons emissions | tonnes CO2-e | 1962760 | 1625800 | 1474391 | 52 |
Reduction in specific GHG emissions by aluminium smelters compared to 2014 | % | 11 | 50 | ||
Reduction in specific GHG emissions compared with 2014 at existing aluminium production capacities | % | 11 | 6 | ||
Scope 1 GHG emissions | million tonnes CO2-e | 26 | 23 | 26.1 | 52 |
Scope 2 GHG emissions | million tonnes CO2-e | 10.1 | 11.4 | 11.1 | 52 |
Scope 3 GHG emissions | million tonnes CO2-e | 3 | 2.9 | 2 | 52 |
Specific GHG emissions (tonnes CO2-e per million USD revenue) | tonnes CO2-e per million USD revenue | 10280 | 9619 | 9711 | 52 |
Total GHG emissions (scope 1, 2 & 3) | million tonnes CO2-e | 39.1 | 37.3 | 39.2 | 52 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Bauxite residue and nepheline mud disposed | million tonnes | 11.9 | 11.3 | 11.6 | 66 |
Bauxite residue and nepheline mud generated | million tonnes | 13.2 | 12.6 | 12.8 | 66 |
Hazardous waste disposed | million tonnes | 0.1 | 66 | ||
Hazardous waste generated | million tonnes | 0.3 | 0.3 | 0.93 | 44, 66 |
Mud disposal areas and industrial waste landfills (disturbed land) | thousand hectares | 3.5 | 3.4 | 3.4 | 47 |
Red and nepheline mud disposal | million tonnes | 11.6 | 45 | ||
Red and nepheline mud from alumina production | million tonnes | 12.8 | 45 | ||
Spent carbon pot lining | million tonnes | 0.05 | 45 | ||
Spent pot lining generated | thousand tonnes | 45 | 48.1 | 41.6 | 66 |
Waste generated (excluding overburden rocks) | million tonnes | 15.2 | 14 | 14 | 66 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Accumulation of non-hazardous waste on 31 December | million tonnes | 894 | 939 | 1030 | 66 |
Downstream Division wastewater discharges | thousand cubic metres | 267.55 | 66 | ||
Non-hazardous waste generated | million tonnes | 14.8 | 13.8 | 13.7 | 66 |
Non-hazardous waste generated (excluding overburden rocks) | million tonnes | 1.037 | 44 | ||
Other non-hazardous waste | thousand tonnes | 0.5 | 44 | ||
Overburden in non-hazardous waste | thousand tonnes | 470.3 | 44 | ||
Red and nepheline mud in non-hazardous waste | thousand tonnes | 493 | 44 | ||
Red and nepheline mud recycling rate | % | 9.5 | 45 | ||
Spent carbon pot lining recycling rate | % | 78.3 | 45 | ||
Spent pot lining in non-hazardous waste | thousand tonnes | 66.4 | 44 | ||
Total Waste Generated (excluding overburden rocks) | million tonnes | 14 | 45 | ||
Total Waste Recycled and Reused | % | 14.4 | 45 | ||
Total amount of generated waste without overburden rocks | million tonnes | 1.03 | 44 | ||
Waste disposed | million tonnes | 13.1 | 11.6 | 12.1 | 66 |
Waste disposed (excluding overburden rocks) | million tonnes | 13.1 | 11.7 | 12.1 | 66 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2017 | 2018 | 2019 | 2024 | Report Pages |
---|---|---|---|---|---|---|
Minimum reduction in total pollutant air emissions in Krasnoyarsk, Bratsk, and Novokuznetsk by 2024 compared to 2017 level | % | 20 | 46 | |||
Targeted reduction in total emissions of pollutants into the air in 12 Russian industrial centers by 2024 | % | 20 | 46 | |||
Total monetary value of non-significant fines | USD thousand | 36.1 | 176 | 5 | 65 |
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 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Bauxite residue and nepheline mud recycled | million tonnes | 1.2 | 1.2 | 1.2 | 66 |
Hazardous waste recycled | million tonnes | 0.06 | 0.2 | 0.2 | 66 |
Hazards eliminated in Look Around programme, Downstream Division | 12492 | 36 | |||
Hazards identified in Look Around programme, Downstream Division | 13591 | 36 | |||
Regular environmental payments | million USD | 7.9 | 43 | ||
Spent carbon pot lining disposal | million tonnes | 0.01 | 45 | ||
Spent pot lining disposed | thousand tonnes | 22.3 | 13.3 | 10.2 | 66 |
Spent pot lining recycled | thousand tonnes | 27.2 | 29.2 | 32.6 | 66 |
Total Waste Disposal (excluding overburden rocks) | million tonnes | 12.1 | 45 | ||
Waste management and land rehabilitation expenditure | million USD | 13 | 43 | ||
Waste recycled | million tonnes | 2 | 1.9 | 1.8 | 66 |
Waste recycled (excluding overburden rocks) | million tonnes | 2.6 | 2 | 2 | 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 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Coal consumption | million tonnes | 3.6 | 3.6 | 3.5 | 53 |
Energy consumption (purchased) - Electricity | million MWh | 63 | 65 | 67 | 67 |
Energy consumption (purchased) - Heat | million Gcal | 0.9 | 0.8 | 0.7 | 67 |
Energy intensity ratio, Alumina Division | kWh per tonne of production unit | 7.1 | 53 | ||
Energy intensity ratio, Aluminium smelters and Bauxite Division | in line with 2018 | 53 | |||
Energy intensity ratio, Silicon Division | kWh per tonne of production unit | 15.4 | 53 | ||
Fuel consumption - Coal | million tonnes | 3.63 | 3.59 | 3.47 | 67 |
Fuel consumption - Diesel | million tonnes | 0.08 | 0.09 | 0.1 | 67 |
Fuel consumption - Heavy fuel | million tonnes | 0.43 | 0.42 | 0.57 | 67 |
Fuel consumption - Natural gas | billion cubic m | 2.81 | 2.9 | 2.92 | 67 |
Fuel consumption - Other | million tonnes | 0.1 | 0.08 | 67 | |
Gas consumption | billion m³ | 2.8 | 2.9 | 2.9 | 53 |
Heavy oil consumption | million tonnes | 0.4 | 0.4 | 0.6 | 53 |
Reduction in coal consumption at RUSAL facilities | % | 3.3 | 6 | ||
Reduction in specific electric power consumption by aluminium smelters vs. 2011 level | % | 4 | 50 | ||
Share of electricity bought from hydroelectric power plants and other types of carbon-free power generation for aluminium smelters | % | 99.3 | 50 | ||
Share of electricity bought from hydroelectric power plants for aluminium smelters | % | 98.7 | 50 | ||
Share of electricity bought from other renewable energy for aluminium smelters | % | 0.5 | 50 | ||
Total fuel consumption | million MWh | 49 | 52 | 54 | 53 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Aluminum Division wastewater discharges | thousand cubic metres | 224.59 | 228.28 | 234.39 | 66 |
Downstream Division water use | thousand cubic metres | 3658.38 | 3745.05 | 3268.67 | 66 |
Fresh water input | million cubic metres | 155.1 | 147.5 | 162.1 | 65 |
Fresh water used for production needs | million cubic metres | 95.5 | 86.3 | 85.8 | 65 |
General water input (only fresh water) | thousand cubic metres | 155171.4 | 147510.41 | 162110.49 | 65 |
General water input, Groundwater | % | 15.75 | 10.12 | 8.78 | 65 |
General water input, Other | % | 6.34 | 9.12 | 8.26 | 65 |
General water input, Surface water | % | 66.14 | 69.17 | 71.53 | 65 |
General water input, Urban networks | % | 11.78 | 11.59 | 11.43 | 65 |
Ground water input | million cubic metres | 13.6 | 43 | ||
Industrial wastewater discharges into surface water | million cubic metres | 34.9 | 33.5 | 34.7 | 66 |
New Projects Directorate water use | thousand cubic metres | 2814.38 | 1691.4 | 1598.85 | 66 |
Nominally clean water output | million cubic metres | 0.3 | 43 | ||
Other water input | million cubic metres | 12.8 | 43 | ||
Recycled and reused water | % | 93.2 | 6 | ||
Surface water input | million cubic metres | 110.8 | 43 | ||
Total volume of fresh water consumption | thousand cubic metres | 155171.4 | 147510.41 | 162110.49 | 65 |
Total volume of fresh water consumption, Alumina Division | thousand cubic metres | 123366.99 | 115127.16 | 131254.58 | 65 |
Total volume of fresh water consumption, Aluminium Division | thousand cubic metres | 25572.39 | 26937.8 | 26018.4 | 65 |
Total volume of wastewater discharges | thousand cubic metres | 31011.91 | 33558.53 | 34710.5 | 66 |
Total water inputs | million cubic metres | 154.9 | 43 | ||
Total water outputs | million cubic metres | 34.7 | 43 | ||
Total water reused | 93.2% | 43 | |||
Treated wastewater discharged into surface water | million cubic metres | 13.1 | 18.1 | 12.4 | 66 |
Urban networks water input | million cubic metres | 17.7 | 43 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Aggregate energy consumption reduction, Aluminium Division | 4% | 53 | |||
Energy conservation, 2019 | million kWh | 183 | 53 | ||
Fuel consumption trend | vs. 2018 | -3% | 53 | ||
Investments in R&D | million USD | 81 | 104 | 21 | |
New Projects Directorate wastewater discharges | thousand cubic metres | 2.28 | 2.28 | 2.28 | 66 |
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 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Share of circulating and recycling of the water supply | % | 93 | 93.3 | 92.6 | 66 |
Treated water output | million cubic metres | 12.4 | 43 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Allocated for environmental protection | USD | 95500000 | 6 | ||
Disturbed land | hectares | 114.2 | 204.6 | 685.6 | 66 |
Environmental equipment maintenance expenditure | million USD | 9.3 | 43 | ||
Environmental fines | million USD | 0.005 | 43 | ||
Expenditure on environmental protection | million USD | 95.9 | 43 | ||
Facilities' environmental management systems are compliant with international standard ISO 14001 | % | 69 | 6 | ||
Number of onsite projects | 163 | 139 | 76 | 16 | |
Other areas requiring rehabilitation (disturbed land) | thousand hectares | 0.43 | 0.48 | 0.46 | 47 |
Other expenditures for environmental protection | million USD | 1.1 | 43 | ||
Planted trees as part of a large-scale project to restore and protect forests in Russia | Over 1 million | 6 | |||
Rehabilitated land | hectares | 63.9 | 53.5 | 18.6 | 66 |
The area of open-cast and waste dump (disturbed land) | thousand hectares | 3.8 | 3.4 | 3.3 | 47 |
Total amount of disturbed land | thousand hectares | 7.3 | 7.2 | 7.198 | 47 |
Water protection expenditure | million USD | 1.7 | 43 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Average headcount in Armenia, 2019 | persons | 1127 | 28 | ||
Average headcount in Australia, 2019 | persons | 450 | 28 | ||
Average headcount in Guinea, 2019 | persons | 5383 | 28 | ||
Average headcount in Guyana, 2019 | persons | 320 | 28 | ||
Average headcount in Ireland, 2019 | persons | 665 | 28 | ||
Average headcount in Jamaica, 2019 | persons | 2826 | 28 | ||
Average headcount in Nigeria, 2019 | persons | 410 | 28 | ||
Average headcount in Other countries, 2019 | persons | 373 | 28 | ||
Average headcount in Russia, 2019 | persons | 44847 | 28 | ||
Average headcount in Sweden, 2019 | persons | 529 | 28 | ||
Average headcount, 2017 | thousand persons | 62 | 28 | ||
Average headcount, 2018 | thousand persons | 54 | 28 | ||
Average headcount, 2019 | thousand persons | 54.9 | 28 | ||
Average number of employees | 54981 | 6 | |||
Basic monthly salary of senior management men in Russia | 11203 | 30 | |||
Basic monthly salary of senior management men in other countries | 9176 | 30 | |||
Basic monthly salary of senior management women in Russia | 5669 | 30 | |||
Basic monthly salary of senior management women in other countries | 6839 | 30 | |||
Basic monthly salary of workers men in Russia | 854 | 30 | |||
Basic monthly salary of workers men in other countries | 681 | 30 | |||
Basic monthly salary of workers women in Russia | 682 | 30 | |||
Basic monthly salary of workers women in other countries | 672 | 30 | |||
Employee structure by age, 2019, % - 30–50 | % | 63 | 29 | ||
Employee structure by age, 2019, % - Over 50 | % | 21 | 29 | ||
Employee structure by age, 2019, % - Up to 30 | % | 16 | 29 | ||
Employee structure by gender, 2019, % - Men | % | 76 | 29 | ||
Employee structure by gender, 2019, % - Women | % | 24 | 29 | ||
New employee hires, Other countries, Men | persons | 981 | 750 | 1724 | 65 |
New employee hires, Other countries, Women | persons | 114 | 119 | 126 | 65 |
New employee hires, Russia, Men | persons | 3627 | 3682 | 4728 | 65 |
New employee hires, Russia, Women | persons | 771 | 677 | 1558 | 65 |
Number of competition participants, Improvement of the Year competition | 1662 | 1709 | 1100 | 16 | |
Percentage of hotline inquiries related to employee relations | % | 43 | 26 | ||
Percentage of hotline inquiries related to other categories | % | 24 | 26 | ||
Percentage of hotline inquiries related to remuneration and motivation | % | 21 | 26 | ||
Share of employees covered by collective agreements | % | 85 | 6 | ||
Share of employees who are women | % | 24 | 6 | ||
Share of senior managers recruited from the local population in Russia, 2017, % | % | 99.1 | 29 | ||
Share of senior managers recruited from the local population in Russia, 2018, % | % | 99.3 | 29 | ||
Share of senior managers recruited from the local population in Russia, 2019, % | % | 99.5 | 29 | ||
Share of senior managers recruited from the local population in other countries, 2017, % | % | 53.1 | 29 | ||
Share of senior managers recruited from the local population in other countries, 2018, % | % | 52 | 29 | ||
Share of senior managers recruited from the local population in other countries, 2019, % | % | 54.5 | 29 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Employee turnover, 2017 | 11.1% | 28 | |||
Employee turnover, 2018 | 12.6% | 28 | |||
Employee turnover, 2019 | 13.5% | 28 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Drop in the number of occupational disease cases | % | 26 | 6 | ||
Main types of high-consequence work-related injuries and fatalities: Construction and installation operations | case | 1 | 37 | ||
Main types of high-consequence work-related injuries and fatalities: General engineering | case | 1 | 37 | ||
Main types of high-consequence work-related injuries and fatalities: Internal transport | case | 1 | 37 | ||
Main types of high-consequence work-related injuries and fatalities: Maintenance of electrical equipment | cases | 10 | 37 | ||
Main types of high-consequence work-related injuries and fatalities: Melt production | cases | 3 | 37 | ||
Main types of high-consequence work-related injuries and fatalities: Repair and maintenance of process equipment | cases | 3 | 37 | ||
Number of fatalities among RUSAL employees | fatalities | 6 | 4 | 4 | 37 |
Number of fatalities among contractors | fatalities | 1 | 3 | 3 | 37 |
Lost days due to work injury.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Lost Time Frequency Rate (LTIFR) | 0.22 | 6 | |||
Lost Time Injury Frequency Rate (LTIFR) per 200000 hours (excluding contractors) | 0.15 | 0.16 | 0.22 | 37 | |
Lost time injury frequency rate reduction, Downstream Division | 51.8% | 36 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
Certificate of compliance with international occupational health and safety standard OHSAS 18001:2007 | certified | 35 | |||||||
Dangerous actions identified | thousand | 22.1 | 21.3 | 23.2 | 18.2 | 18.1 | 12.9 | 36 | |
Dangerous situations identified | thousand | 377.9 | 365.9 | 361.1 | 339.5 | 339.9 | 313.6 | 36 | |
Employees are covered by the Health and Safety management system | % | 100 | 6 | ||||||
Percentage of hotline inquiries related to occupational health and safety | % | 12 | 26 | ||||||
Planned transition to ISO 45001 standard certification | planned | 35 | |||||||
Share of hazards eliminated in Look Around programme, Downstream Division | 91% | 36 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Economic effect from implementing employee improvement proposals | USD | 7800000 | 6 |
Employees trained in quality management | 2968 | 6 | |
Employees used the e-learning system | employees | 36800 | 11 |
Employees were trained in e-learning system | % | 65 | 6 |
Number of employees trained in quality (in the distance learning system) | 232 | 17 | |
Number of employees trained in quality (internal) | 1873 | 17 |
Number of suppliers by geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of projects aimed at the development of BS | 392 | 231 | 295 | 16 | |
Share of locally sourced raw materials and supplies to produce core products | % | 44 | 6 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of consumer complaints (Aluminum Division) | 263 | 132 | 125 | 17 | |
Number of hotline inquiries received | inquiries | 3000 | 26 | ||
Number of recurring complaints (Aluminum Division) | 49 | 39 | 17 | 17 | |
Sales of primary aluminium and alloys | kt | 4176 | 6 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of employees trained in quality (external) | 863 | 17 | |||
Share of value-added products (VAP) | % | 47 | 45 | 37 | 21 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Planned number of employees to be covered by information security training | employees | 1500 | 26 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of complaints about unethical behaviour received via Signal Hotline | complaints | 46 | 26 |
Number of confirmed cases of unethical behaviour after audit | cases | 7 | 26 |
Number of electronic declarations of conflicts of interest received from employees | declarations | 2300 | 26 |
Requests received and addressed through the hotline 'Signal' | More than 300 | 6 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of employees trained in anti-corruption practices at SAZ, BoAZ, IrkAZ, UAZ, and Boksit Timana production facilities | employees | 2000 | 26 |
Number of employees who underwent training on anti-corruption and compliance | employees | 3500 | 26 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Number of students participating in targeted programme, 2017 | 165 | 29 | |||
Number of students participating in targeted programme, 2018 | 122 | 29 | |||
Number of students participating in targeted programme, 2019 | 121 | 29 | |||
Spent towards social programmes and charity | USD | 30900000 | 6 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Economic effect from implementing Business System development projects | USD | 27800000 | 6 | ||
Paid to the state budget including income tax | USD | 192000000 | 6 | ||
Revenue | USD | 9711000000 | 6 | ||
Total economic effect of implementing BS introduction measures | million USD | 65.3 | 57.3 | 27.8 | 16 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | thousand tonnes | 41.9 | 37.6 | 37.3 |
NOâ‚“ Emissions | thousand tonnes | 20.9 | 19.6 | 19.5 |
SOâ‚“ Emissions | thousand tonnes | 36.2 | 36.4 | 42 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | million tonnes CO2-e | 26 | 23 | 26.1 |
Indirect Energy Emissions (Scope 2) | million tonnes CO2-e | 10.1 | 11.4 | 11.1 |
Scope 1 GHG Emissions Intensity (By Unit Product) | tonnes CO2-e per tonne of aluminium produced | 2.2 | 2.11 | 2.03 |
Total GHG Emissions | million tonnes CO2-e | 39.1 | 37.3 | 39.2 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2-e per million USD revenue | 10280 | 9619 | 9711 |
Total Other Indirect Energy Emissions (Scope 3) | million tonnes CO2-e | 3 | 2.9 | 2 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Hazardous Waste Disposed | million tonnes | 0.1 | ||
Total Hazardous Waste | million tonnes | 0.3 | 0.3 | 0.93 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Non-Hazardous Waste Disposed | million tonnes | 13.1 | 11.6 | 12.1 |
Non-Hazardous Waste Recycled | million tonnes | 2 | 1.9 | 1.8 |
Recycling Rate of Non-Hazardous Waste | % | 14.4 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
GHG Emissions Reduction Percentage Compared to Last Year | % | 20 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Diesel Fuel Consumption | million tonnes | 0.08 | 0.09 | 0.1 |
Natural Gas Consumption | billion cubic m | 2.81 | 2.9 | 2.92 |
Purchased Electricity | million MWh | 63 | 65 | 67 |
Purchased Heating | million Gcal | 0.9 | 0.8 | 0.7 |
Total Direct Energy Consumption | million MWh | 49 | 52 | 54 |
Total Indirect Energy Consumption | million MWh | 63 | 65 | 67 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Discharge of Industrial Wastewater | million cubic metres | 34.9 | 33.5 | 34.7 |
Groundwater Withdrawal | million cubic metres | 24.43 | 14.93 | 13.6 |
Other Water Withdrawal | million cubic metres | 9.84 | 13.46 | 12.8 |
Recycled Water Percentage | % | 93.2 | ||
Surface Water Discharge | million cubic metres | 34.9 | 33.5 | 34.7 |
Surface Water Withdrawal | million cubic metres | 102.6 | 102.01 | 110.8 |
Third Party Water Consumption | million cubic metres | 18.27 | 17.09 | 17.7 |
Total Wastewater Discharge | million cubic metres | 31.01191 | 33.55853 | 34.7105 |
Total Water Withdrawal | million cubic metres | 155.1 | 147.5 | 162.1 |
Water Consumption | million cubic metres | 155.1 | 147.5 | 162.1 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
Energy Consumption 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 | 2019 |
---|---|---|
Total Investment in Ecological Restoration | USD | 95500000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Number of Employees Aged 30-50 | persons | 34537 | ||
Number of Employees Aged Above 50 | persons | 11529 | ||
Number of Employees Aged Below 30 | persons | 8798 | ||
Number of Employees in Armenia | persons | 1127 | ||
Number of Employees in Australia | persons | 450 | ||
Number of Employees in Guinea | persons | 5383 | ||
Number of Employees in Guyana | persons | 320 | ||
Number of Employees in Ireland | persons | 665 | ||
Number of Employees in Jamaica | persons | 2826 | ||
Number of Employees in Nigeria | persons | 410 | ||
Number of Employees in Overseas | persons | 9290 | ||
Number of Employees in Russia | persons | 44847 | ||
Number of Employees in Sweden | persons | 529 | ||
Number of Female Employees | persons | 13176 | ||
Number of Male Employees | persons | 41784 | ||
Number of New Employees | persons | 5493 | 5228 | 8136 |
Number of New Employees (Female) | persons | 885 | 796 | 1684 |
Number of New Employees (Male) | persons | 4608 | 4432 | 6452 |
Number of New Employees (Overseas) | persons | 1850 | ||
Number of New Employees in Russia | persons | 6286 | ||
Number of Total Employees | persons | 62000 | 54000 | 54900 |
Percentage of Employees Aged 30-50 | % | 63 | ||
Percentage of Employees Aged Above 50 | % | 21 | ||
Percentage of Employees Aged Below 30 | % | 16 | ||
Percentage of Female Employees | % | 24 | ||
Percentage of Male Employees | % | 76 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Turnover Rate of Total Employees | % | 11.1 | 12.6 | 13.5 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | fatalities | 7 | 7 | 7 |
Number of Fatalities of the Last 3 Years | fatalities | 21 | 21 | 21 |
Number of Work-related Fatalities | fatalities | 7 | 7 | 7 |
Number of Work-related Fatalities for Contractors | fatalities | 1 | 3 | 3 |
Number of Work-related Fatalities for Direct Employee | fatalities | 6 | 4 | 4 |
Lost days due to work injury.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Lost Time Injury Frequency Rate (LTIFR/LTIR) | per 200000 hours | 0.15 | 0.16 | 0.22 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Employees Trained | % | 65 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Proportion of Spending on Local Suppliers | % | 44 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Total Number of Customer Complaints | 263 | 132 | 125 |
Description of quality assurance process and recall procedures.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Training Employees on Quality and Safety | 863 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of People Participated in Ethical Standards and Anti-corruption Training | employees | 3500 |