GRI CONTENT INDEX | ||||
The GRI's Sustainability Reporting Standards (core compliance) and their Mining Sector Supplement were adopted as the basis for AngloGold Ashanti's Sustainability Report 2020 | ||||
Ernst & Young Inc. has provided limited assurance on selected information - see their Independent Assurance Statement on pages 68-77 of the report. | ||||
GRI standard | Disclosure number | Disclosure title | AngloGold Ashanti's response/section reference | SDG Index |
General disclosures | ||||
Organisational profile | 102-1 | Name of the organisation | Throughout the report | |
102-2 | Activities, brands, products, and services | Who we are: corporate profile | ||
102-3 | Location of headquarters | Johannesburg | ||
102-4 | Location of operations | Who we are: corporate profile | ||
102-5 | Ownership and legal form | Who we are: corporate profile | ||
102-6 | Markets served | IR: Our external operating context | ||
102-7 | Scale of the organisation | Who we are: corporate profile; Our performance in 2020 | ||
102-8 | Information on employees and other workers | Integrated talent management; Talent management: data tables | 8 | |
102-9 | Supply chain | Who we are: corporate profile | ||
102-10 | Significant changes to the organisation and its supply chain | Who we are: corporate profile | ||
102-11 | Precautionary Principle or approach | Enhancing sustainability performance | ||
102-12 | External initiatives | About this report: 9; Selecting our report content | ||
102-13 | Membership of associations | About this report: 9; Selecting our report content | ||
Strategy | 102-14 | Statement from senior decision-maker | From the desk of the Interim CEO | |
102-15 | Key impacts, risks, and opportunities | IR: Managing our risks and acting on opportunities | ||
Ethics and integrity | 102-16 | Values, principles, standards, and norms of behaviour | Contents | |
102-17 | Mechanisms for advice and concerns about ethics | IR: ESG performance | ||
Governance | 102-18 | Governance structure | IR: Corporate governance | |
102-19 | Delegating authority | IR: Corporate governance | ||
102-20 | Executive-level responsibility for economic, environmental, and social topics | IR: Corporate governance | ||
102-21 | Consulting stakeholders on economic, environmental, and social topics | IR: How we create value; Our business model Selecting our report content | ||
102-22 | Composition of the highest governance body and its committees | IR: Corporate governance | ||
102-23 | Chair of the highest governance body | IR: Corporate governance | ||
102-24 | Nominating and selecting the highest governance body | IR: Corporate governance | ||
102-25 | Conflicts of interest | IR: Corporate governance | ||
102-26 | Role of highest governance body in setting purpose, values, and strategy | IR: Corporate governance | ||
102-27 | Collective knowledge of highest governance body | IR: Corporate governance | ||
102-28 | Evaluating the highest governance body's performance | IR: Corporate governance | ||
102-29 | Identifying and managing economic, environmental, and social impacts | IR: Corporate governance | ||
102-30 | Effectiveness of risk management processes | IR: Corporate governance | ||
102-31 | Review of economic, environmental, and social topics | IR: Corporate governance | ||
102-32 | Highest governance body's role in sustainability reporting | IR: Corporate governance | ||
102-33 | Communicating critical concerns | IR: Remuneration implementation report | ||
102-34 | Nature and total number of critical concerns | IR: Remuneration implementation report | ||
102-35 | Remuneration policies | IR: Corporate governance | ||
102-36 | Process for determining remuneration | IR: Corporate governance | ||
102-37 | Stakeholders' involvement in remuneration | IR: Corporate governance | ||
102-38 | Annual total compensation ratio | IR: Corporate governance | ||
102-39 | Percentage increase in annual total compensation ratio | IR: Corporate governance | ||
Stakeholder engagement | 102-40 | List of stakeholder groups | Stakeholder engagement | |
102-41 | Collective bargaining agreements | Integrated talent management; Talent management: data tables | ||
102-42 | Identifying and selecting stakeholders | Stakeholder engagement | ||
102-43 | Approach to stakeholder engagement | Stakeholder engagement | ||
102-44 | Key topics and concerns raised | Stakeholder engagement | ||
Reporting practice | 102-45 | Entities included in the consolidated financial statements | Annual financial statements | |
102-46 | Defining report content and topic boundaries | About this report; Selecting our report content; Stakeholder engagement | ||
102-47 | List of material topics | Selecting our report content; Material issues | ||
102-48 | Restatements of information | Not applicable | ||
102-49 | Changes in reporting | About this report | ||
102-50 | Reporting period | Selecting our report content | ||
102-51 | Date of most recent report | Selecting our report content | ||
102-52 | Reporting cycle | Selecting our report content | ||
102-53 | Contact point for questions regarding the report | About this report | ||
102-54 | Claims of reporting in accordance with the GRI Standards | About this report | ||
102-55 | GRI content index | About this report | ||
102-56 | External assurance | About this report; Report assurance | ||
Management approach | ||||
103-1 | Explanation of the material topic and its boundary | IR: Materality process and material matters | ||
103-2 | The management approach and its components | Enhancing sustainability performance | ||
103-3 | Evaluation of the management approach | Enhancing sustainability performance | ||
Economic performance | ||||
Economic performance | 201-1 | Direct economic value generated and distributed | Our performance in 2020 | |
201-2 | Financial implications and other risks and opportunities due to climate change | Energy and GHG emissions: data tables | 12,13 | |
201-3 | Defined benefit plan obligations and other retirement plans | Notice of Annual General Meeting | ||
201-4 | Financial assistance received from government | Navigating regulatory and political risk: data tables | 8,9,17 | |
Market presence | 202-1 | Ratios of standard entry-level wage by gender compared to local minimum wage | IR: Remuneration implementation report | |
202-2 | Proportion of senior management hired from the local community | Integrated talent management: data tables | 10 | |
Indirect economic impacts | 203-1 | Infrastructure investments and services supported | Contributing to resilient, self-sustaining communities | 11 |
203-2 | Significant indirect economic impacts | Contributing to resilient, self-sustaining communities | 11 | |
Procurement practices | 204-1 | Proportion of spending on local suppliers | Contributing to resilient, self-sustaining communities and data tables | 10, 11 |
Anti-corruption | 205-1 | Operations assessed for risks related to corruption | Navigating regulatory and political risk | 8,9,17 |
205-2 | Communication and training about anti-corruption policies and procedures | Navigating regulatory and political risk | 8,9,17 | |
205-3 | Confirmed incidents of corruption and actions taken | Navigating regulatory and political risk: data tables | 8,9,17 | |
Environmental performance | ||||
Materials | 301-1 | Materials used by weight or volume | Materials and waste: data tables | 12,13,15 |
301-2 | Recycled input materials used | Materials and waste: data tables | 12,13,15 | |
301-3 | Reclaimed products and their packaging materials | Not material | ||
Energy | 302-1 | Energy consumption within the organisation | Climate change and energy; Engery and GHG emissions: data tables | 12,13 |
302-2 | Energy consumption outside of the organisation | Not material | ||
302-3 | Energy intensity | Climate change and energy; Engery and GHG emissions: data tables | 12,13 | |
302-4 | Reduction of energy consumption | Climate change and energy | 12,13 | |
302-5 | Reductions in energy requirements of products and services | Climate change and energy | 12,13 | |
Water | 303-1 | Water withdrawal by source | Water | 6,12 |
303-2 | Water sources significantly affected by withdrawal of water | Water and emissions: data tables | 6,12 | |
303-3 | Water recycled and reused | Water; Water and emissions: data tables | 6,12 | |
Biodiversity | 304-1 | Operational sites owned, leased, managed in, or adjacent to, protected areas and areas of high biodiversity value outside protected areas | Integrated closure | 11,15 |
304-2 | Significant impacts of activities, products, and services on biodiversity | Integrated closure | 11,15 | |
304-3 | Habitats protected or restored | Closure and biodiversity: data tables | 11,15 | |
304-4 | IUCN Red List species and national conservation list species with habitats in areas affected by operations | Closure and biodiversity: data tables | 11,15 | |
MM1 | Amount of land (owned or leased, and managed for production activities ore extractive use) distributed or rehabilitated | Closure and biodiversity: data tables | 11,15 | |
MM10 | Number and percentage of operations with closure plans | Integrated closure; Closure and biodiversity: data tables | 11,15 | |
Emissions | 305-1 | Direct (Scope 1) GHG emissions | Climate change and energy; Engery and GHG emissions: data tables | 12,13 |
305-2 | Energy indirect (Scope 2) GHG emissions | Climate change and energy; Engery and GHG emissions: data tables | 12,13 | |
305-3 | Other indirect (Scope 3) GHG emissions | Climate change and energy; Engery and GHG emissions: data tables | 12,13 | |
305-4 | GHG emissions intensity | Climate change and energy; Engery and GHG emissions: data tables | 12,13 | |
305-5 | Reduction of GHG emissions | Climate change and energy | 12,13 | |
305-6 | Emissions of ozone-depleting substances (ODS) | Not reported | ||
305-7 | Nitrogen oxides (NOX), sulphur oxides (SOX), and other significant air emissions | Water and emissions: data tables | ||
Effluents and Waste | 306-1 | Water discharge by quality and destination | Water and emissions: data tables | |
306-2 | Waste by type and disposal method | Materials and waste: data tables | 12,13,15 | |
306-3 | Significant spills | Environmental stewardship | 12, 15 | |
306-4 | Transport of hazardous waste | Not reported | ||
306-5 | Water bodies affected by water discharges and/or runoff | Water and emissions: data tables | 6,12 | |
MM3 | Total amounts of overburden rock, tailings, and sludges and their associated risks | Tailings: data tables | 15 | |
Environmental compliance | 307-1 | Non-compliance with environmental laws and regulations | Integrated closure | 11,15 |
Supplier environmental assessment | 308-1 | New suppliers that were screened using environmental criteria | Human rights; Human rights: data tables | 10,11,16 |
308-2 | Negative environmental impacts in the supply chain and actions taken | Not reported | ||
Artisanal and Small-scale Mining | MM8 | Number (and percentage) of company operating sites where artisanal and small-scale mining (ASM) takes place on, or adjacent to, the site; the associated risks and actions taken to manage and mitigate these risks | Artisanal and small-scale mining | 1,8,16,17 |
Social performance | ||||
Employment | 401-1 | New employee hires and employee turnover | Not reported | |
401-2 | Benefits provided to full-time employees that are not provided to temporary or part-time employees | Not reported due to confidentiality restraints | 3 | |
Labour/ management relations | 402-1 | Minimum notice periods regarding operational changes | Talent management: data tables | |
MM4 | Number of strikes and lockouts exceeding one week's duration by country | Integrated talent management; Talent management: data tables | ||
Occupational health and safety | 403-1 | Workers representation in formal joint management-worker health and safety committees | Integrated talent management; Talent management: data tables | 10 |
403-2 | Types of injury and rates of injury, occupational diseases, lost days, and absenteeism, and number of work-related fatalities | Employee safety; data tables | 3 | |
403-3 | Workers with high incidence or high risk of diseases related to their occupation | Employee and community health; data tables | 3 | |
403-4 | Health and safety topics covered in formal agreements with trade unions | Employee and community health | 3 | |
Training and education | 404-2 | Programmes for upgrading employee skills and transition assistance programmes | Integrated talent management | 5,8,10 |
404-3 | Percentage of employees receiving regular performance and career development reviews | Integrated talent management; Talent management: data tables | 8,10 | |
Diversity and equal opportunity | 405-1 | Diversity of governance bodies and employees | Integrated talent management; Talent management: data tables | 5,8,10 |
405-2 | Ratio of basic salary and remuneration of women to men | IR: Overview of the remuneration policy | ||
Non-discrimination | 406-1 | Incidents of discrimination and corrective actions taken | Talent management: data tables | |
Freedom of association and collective bargaining | 407-1 | Operations and suppliers in which the right to freedom of association and collective bargaining may be at risk | Integrated talent management | 10 |
Security practices | 410-1 | Security personnel trained in human rights policies or procedures | Respecting human rights | 10,11,16 |
412-1 | Operations that have been subject to human rights reviews or impact assessments | Respecting human rights; data tables | 10,11,16 | |
412-2 | Employee training on human rights policies or procedures | Respecting human rights | 10,11,16 | |
Local communities | 413-1 | Operations with local community engagement, impact assessments, and development programmes | Contributing to resilient, self-sustaining communities | 11, 16 |
413-2 | Operations with significant actual and potential negative impacts on local communities | Contributing to resilient, self-sustaining communities | 11, 16 | |
MM7 | The extent to which grievance mechanisms were used to resolve disputes relating to land use, customary rights of local communities and indigenous peoples, and the outcomes | Contributing to resilient, self-sustaining communities | 11, 10 | |
MM9 | Sites where resettlements took place, the number of households resettled in each, and their livelihoods were affected in the process | Contributing to resilient, self-sustaining communities | 11 | |
Supplier social assessment | 414-1 | New suppliers that were screened using social criteria | Human rights | 10,11,16 |
414-2 | Negative social impacts in the supply chain and actions taken | We did not identify any negative social impacts. | ||
Public policy | 415-1 | Political contributions | Risk and uncertainty: data tables | 8,9,17 |
Socio-economic compliance | 419-1 | Non-compliance with laws and regulations in the social and economic area | Navigating regulatory and political risk | 8,9,17 |
SUSTAINABILITY ACCOUNTING STANDARDS BOARD (SASB) Index | |||||
SASB Topic | Accounting Metric | SASB Unit of Measure | Code | Response | Links |
Greenhouse Gas Emissions | Gross global Scope 1 emissions, percentage covered under emissions-limiting regulations | Metric tons (t) CO₂-e, Percentage (%) | EM-MM-110a.1 | AngloGold Ashanti reports the total of Direct Emissions (Scope 1) and Indirect Emission (Scope 2). The unit of measure used for reporting is kilotonnes of GHG,available in this databook. | |
Discussion of long-term and short-term strategy or plan to manage Scope 1 emissions, emissions reduction targets, and an analysis of performance against those targets | N/A | EM-MM-110a.2 | Our emissions reduction targets and related performance are docussed in the Climate Change and Energy section of our 2020 Sustainability Report. | ||
Air Quality | Air emissions of the following pollutants: (1) CO, (2) NOx (excluding N2O), (3) SOx, (4) particulate matter (PM10), (5) mercury (Hg), (6) lead (Pb), and (7) volatile organic compounds (VOCs) | Metric tons (t) EM | EM-MM-120a.1 | AngloGold Ashanti partially reports on NOx and SOx emissions at a group level ,available in this databook. | |
Energy Management | 1) Total energy consumed, (2) percentage grid electricity, (3) percentage renewable | Gigajoules (GJ),Percentage (%) | EM-MM-130a.1 | In this databook,We report direct and indirect (grid) energy consumption in Petajoules, by operation and at aggregated level. The different grids that we are connected to, have variable amounts of renewable energy. | |
Water Management | (1) Total fresh water withdrawn, (2) total fresh water consumed, percentage of each in regions with High or Extremely High Baseline Water Stress | Thousand cubic meters (m³), Percentage (%) | EM-MM-140a.1 | In this databook, we report on water withdrawal by source (surface, ground, utility), which are further defined as High and Low water quality sources. High quality sources are those with TDS lower than 1000mg/l and is considred fresh water. We report on abstractions in less stressed catchments, based on the WWF Water Risk filter, in the Water Section of our 2020 Sustainability Report. | |
Number of incidents of non-compliance associated with water quality permits, standards, and regulations | Number | EM-MM-140a.2 | We report on all significant environmental incidents in our Sustainability Report. In 2020, two water-related environmental incidents met the SASB criteria. Further details on these are on page 48 of the Sustainablity Report. | ||
Waste and Hazardous Materials Management | Total weight of tailings waste, percentage recycled | Metric tons (t),Percentage (%) | EM-MM-150a.1 | AngloGold Ashanti reports on Part 1 of the indicator, the total weight of tailings. | |
Total weight of mineral processing waste, percentage recycled | Metric tons (t), Percentage (%) | 150a 2 | We report on other waste streams generated as a result of our mineral extraction activities. Please see waste section of the databook. We categories these by processing type, agregated at the group level. | ||
Number of tailings impoundments, broken down by MSHA hazard potential | Number | 150 a3 | Partially reported. AngloGold Ashanti published the mine tailings disclosure report. | https://thevault.exchange/?get_group_doc=143/1560011239-AngloGoldAshantiMineTailingsDisclosurecertifiedbytheChairmanandChiefExecutiveOfficer.pdf | |
Biodiversity Impacts | Description of environmental management policies and practices for active sites | N/A | EM-MM- 160a.1 | At group level we have group policy, standards and guidelines: Environmental Policy; Biodiversity Management Standard including other standards for each material topic (air quality, chemicals & waste, closure, land use and water), see link below for our policies and standards. | https://www.anglogoldashanti.com/sustainability/environment/ |
Community Relations | Discussion of process to manage risks and opportunities associated with community rights and interests | Percentage (%) | EM-MM-210b.1 | Global Community Engagement Standard and other management standards available here. | https://www.anglogoldashanti.com/sustainability/community/ |
Security, Human Rights & Rights of Indigenous Peoples | Percentage of (1) proved and (2) probable reserves in or near areas of conflict | Percentage (%) | EM-MM-210a.1 | We do not report on these, however we published the conflict free gold report which indicates if we have no site in a conflict zone in 2018 report | https://thevault.exchange/?get_group_doc=143/1560503094-2018ConflictFreeGoldReport.pdf |
Percentage of (1) proved reserves (2) probable reserves in or near Indigenous land | Percentage (%) | EM-MM- 210a.2 | We do not report on these, however we report on number of sites adjacent to indigenous territories and currently have no sites in or near indigenous land. The data can be found under Resilient communities section of this databook. | ||
Discussion of engagement processes and due diligence practices with respect to human rights, indigenous rights, and operation in areas of conflict | N/A | EM-MM- 210a.3 | AngloGold Ashanti reports this except for fair wages and has a policy and standards, Human Rights Policy Statement. The company published the conflict free gold report in 2018 which indicates that we have no site in a conflict zone an the link has provided above. | https://thevault.exchange/?get_group_doc=143/1502453784-VPSHR.pdf | |
Labor Relations | Percentage of active workforce covered under collective bargaining agreements, broken down by U.S. and foreign employees | Percentage (%) | EM-MM-310a.1 | AngloGold Ashanti partially reports the percentage of employees covered by collective bargaining per country with no break down by US and foreign employees. The data can be found under Talent management section of this databook. | |
Number and duration of strikes and lockouts | Number, Days | EM-MM-310a.2 | AngloGold Ashanti partially reports this indicator focusing on the strikes/lockouts exceeding one week. The data can be found under Talent management section of this databook. | ||
Workforce Health & Safety | 1) MSHA all-incidence rate (2) fatality rate (3) near miss frequency rate (NMFR) (4) Average hours of health, safety, and emergency response training for (a) full-time employees and (b) contract employees | EM-MM-320a.1 | Partially reported. AngloGold Ashanti reports AIFR and FIFR and in 2019 began reporting the data for both contractors and full-time employees, calculated per 1 million hours worked.The data can be found under employee safety section of this databook. | ||
Business Ethics & Transparency | Management system for prevention of corruption and bribery throughout the value chain | EM-MM-510a.1 | Our management system takes a holistic "best practices" approach which also incorporates various policies and codes that guide us in the prevention of corruption and bribery throughout the value chain. | http://www.anglogoldashanti.com/wp-content/uploads/2017/11/SUPPLIER-CODE-OF-CONDUCT.pdf | |
Activity Metric | Total number of employees, percentage contractors | Number Percentage (%) | EM-MM-000.B | Partially reported. AngloGold Ashanti reports average number of employees with the split between contractors and permanent employees. The data can be found under talent management section of this databook. |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
New cases of silicosis (number of cases) | |||||
Group | 6 | 19 | 47 | 107 | 131 |
Americas | 0 | 0 | 0 | 0 | 0 |
Australia | 0 | 0 | 0 | 0 | 0 |
Africa region | 0 | 0 | 0 | 0 | 0 |
South Africa | 6 | 19 | 47 | 107 | 131 |
Noise induced hearing loss (NIHL) (number of employees) | |||||
Group | 17 | 20 | 39 | 132 | 147 |
Americas | 0 | 7 | 3 | 77 | 72 |
Australia | 0 | 0 | 0 | 1 | 0 |
Africa region | 0 | 1 | 1 | 0 | 4 |
South Africa | 17 | 12 | 35 | 54 | 71 |
Greenfields exploration | 0 | 0 | 0 | 0 | |
All occupational disease frequency rate (AODFR) (per million hours worked) | |||||
Group (Continuing and discontinued operations)* | 0.80 | 1.36 | 3.29 | 7.03 | 7.13 |
Group (Continuing operations)* | 0.00 | ||||
Americas | 0.00 | 0.32 | 0.16 | 3.67 | 3.56 |
Australia | 0.00 | 0.21 | 0 | 0.5 | 0 |
Africa region (excluding Sadiola for 2020 and included in historical data) | 0.00 | 0.03 | 0.03 | 0 | 0.13 |
Greenfields exploration | 0.00 | 0 | 0 | 0 | 0 |
Group (Discontinued operations)* | 4.11 | ||||
South Africa | 5.06 | 4.81 | 10.18 | 12.39 | 11.8 |
Sadiola | 0.00 | ||||
New cases of occupational TB (number of cases) | |||||
South Africa | 24 | 43 | 88 | 255 | 285 |
Occupational TB incidence rate | |||||
South Africa | 0.47 | 0.50 | 0.74 | 1.01 | 1.02 |
New cases of malaria (number of cases) | |||||
Ghana | 218 | 344 | 383 | 477 | 342 |
Mali | 98 | 103 | 115 | 127 | 101 |
Guinea | 714 | 832 | 563 | 959 | 965 |
Tanzania | 194 | 283 | 103 | 123 | 96 |
Malaria lost time frequency rate (per million hours worked) | |||||
Ghana | 10 | 20 | 37 | 51 | 42 |
Mali | 32 | 34 | 33 | 28 | 21 |
Guinea | 111 | 125 | 61 | 128 | 125 |
Tanzania | 15 | 24 | 9 | 11 | 9 |
Total number of COVID-19 tests done (employees and contractors ) | |||||
Argentina | 6,169 | ||||
Brazil | 16,838 | ||||
Colombia | 2,745 | ||||
Australia | 435 | ||||
Ghana | 1,088 | ||||
Guinea | 553 | ||||
Mali | 2 | ||||
Corporate | 13 | ||||
South Africa | 1,186 | ||||
Number of confirmed COVID-19 cases recorded (employees and contractors ) | |||||
Argentina | 282 | ||||
Brazil | 749 | ||||
Colombia | 14 | ||||
Australia | |||||
Ghana | 156 | ||||
Guinea | 67 | ||||
Mali | 2 | ||||
Corporate | 13 | ||||
Greenfields | 4 | ||||
South Africa | 492 | ||||
Number of deaths related to COVID-19 (employees and contractors) | |||||
Argentina | 1 | ||||
Brazil | 1 | ||||
Colombia | |||||
Australia | |||||
Ghana | 1 | ||||
Guinea | 2 | ||||
Mali | |||||
Corporate | |||||
South Africa | 8 | ||||
* For 2020 the rate has been seperated between discontinued operations (South Africa and Sadiola ) and continued operations. This has not been applied to historical data |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
All injury frequency rate (per million hours worked) | |||||
Group (Continuing and discontinued operations)* | 2.39 | 3.31 | 4.81 | 7.49 | 7.71 |
Group (Continuing operations) | 1.76 | ||||
Americas | 3.68 | 3.84 | 3.97 | 3.29 | 3.96 |
Continental Africa | 0.59 | 0.62 | 0.49 | 0.39 | 0.51 |
Australia | 3.74 | 7.33 | 9.14 | 8.53 | 9.49 |
Group (Discontinued operations) | 4.96 | ||||
South Africa | 6.12 | 6.6 | 10.25 | 12.68 | 12.02 |
Sadiola | 0.00 | ||||
Group (Continuing and Discontinued operations)* | |||||
Employees (AIFR) | 3.12 | 4.38 | 6.56 | 9.81 | 9.39 |
Contractors(AIFR) | 1.74 | 2.13 | 2.13 | 3.14 | 4.09 |
Continuing operations | |||||
Employees (AIFR) | 1.73 | 4.38 | 6.56 | 9.81 | 9.39 |
Contractors(AIFR) | 1.78 | 2.13 | 2.13 | 3.14 | 4.09 |
Discontinued operations | |||||
Employees | 6.46 | ||||
Contractors | 1.44 | ||||
Fatal injury frequency rate (per million hours worked) | |||||
Group (Continuing and discontinued operations)* | 0.07 | 0 | 0.03 | 0.06 | 0.06 |
Group (Continuing operations) | 0.03 | ||||
Americas | 0.00 | 0 | 0.05 | 0 | 0.05 |
Africa region | 0.05 | 0 | 0 | 0 | 0 |
Australia | 0.00 | 0 | 0 | 0 | 0 |
Group (Discontinued operations) | 0.25 | ||||
South Africa | 0.30 | 0 | 0.07 | 0.11 | 0.09 |
Sadiola | 0.00 | ||||
Group(Continuing and Discontinued operations)* | |||||
Employees(FIFR) | 0.10 | 0 | 0.04 | 0.06 | 0.06 |
Contractors(FIFR) | 0.05 | 0 | 0.03 | 0.05 | 0.05 |
Continuing operations | |||||
Employees (FIFR) | 0.00 | 0 | 0.04 | 0.06 | 0.06 |
Contractors(FIFR) | 0.05 | 0 | 0.03 | 0.05 | 0.05 |
Discontinued Operations | |||||
Employees (FIFR) | 0.35 | ||||
Contractors(FIFR) | 0.00 | ||||
Lost time injury frequency rate (per million hours worked) | |||||
Group (Continuing and discontinued operations)* | 1.62 | 2.26 | 3.37 | 5.69 | 5.74 |
Group (Continuing operations) | 0.98 | ||||
Americas | 2.55 | 2.72 | 2.47 | 1.86 | 1.33 |
Africa region | 0.25 | 0.31 | 0.12 | 0.15 | 0.13 |
Australia | 0.79 | 1.68 | 3.12 | 3.76 | 5.38 |
Group (Discontinued operations)* | 4.23 | ||||
South Africa | 5.21 | 5.35 | 8.21 | 10.08 | 9.62 |
Sadiola | 0.00 | ||||
Continuing operations | |||||
Group (Continuing and Discontinued operations )* | |||||
Employees (LTIFR) | 2.40 | 3.56 | 4.96 | 7.6 | 7.41 |
Contractors(LTIFR) | 0.93 | 0.83 | 1.22 | 2.1 | 2.13 |
Employees (LTIFR) | 1.12 | 3.56 | 4.96 | 7.6 | 7.41 |
Contractors(LTIFR) | 0.89 | 0.83 | 1.22 | 2.1 | 2.13 |
Discontinued operations | |||||
Employees (LTIFR) | 5.50 | ||||
Contractors(LTIFR) | 1.24 | ||||
Occupational fatalities (number) | |||||
Group | 6 | 0 | 3 | 7 | 7 |
Americas | 0 | 0 | 1 | 0 | 1 |
Africa region* | 2 | 0 | 0 | 0 | 0 |
South Africa | 4 | 0 | 2 | 7 | 6 |
Australia | 0 | 0 | 0 | 0 | 0 |
Employees | 4 | 0 | 2 | 5 | 5 |
Contractors | 2 | 0 | 1 | 2 | 2 |
High potential incidents (HPI) | |||||
Group | 177 | 140 | 140 | 210 | 210 |
* For 2020 the rate has been seperated between discontinued operations (South Africa and Sadiola) and continued operations. This has not been applied to historical data |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Proportion of spending on local suppliers (%) | |||||
Argentina | 89 | 88 | 93 | 93 | 89 |
Brazil | 73 | 78 | 69 | 66 | 88 |
Australia | 100 | 99 | 99 | 99 | 99 |
South Africa* | 68 | *71 | 66 | 68 | 68 |
Ghana | 89 | **91 | 89 | 90 | 87 |
Mali | 68 | 73 | 74 | 76 | 84 |
Guinea | 63 | 72 | 76 | 68 | 73 |
Tanzania | 77 | 74 | 76 | 68 | 68 |
Total procurement spend ($ billion) | |||||
Group* | 2.58 | 2.05 | 2.06 | 2.29 | 1.98 |
Centrally managed | 1.76 | 1.41 | 1.42 | 1.54 | 1.24 |
Regionally managed | 0.82 | 0.64 | 0.64 | 0.75 | 0.74 |
Community investment ($ million) | |||||
Group (less equity) | 20.59 | 27.69 | 22.25 | 24.05 | 20.16 |
South Africa | 2.86 | 3.99 | 5.19 | 5.97 | 4.60 |
Corporate | 1.36 | 0.88 | 1.00 | 1.16 | 1.20 |
South Africa Operations | 1.50 | 3.11 | 4.19 | 4.81 | 3.42 |
Africa region | 11.30 | 17.95 | 8.12 | 9.02 | 7.56 |
Ghana | 2.87 | 0.82 | 0.32 | 0.53 | 0.26 |
Iduapriem | 1.08 | 0.48 | 0.20 | 0.41 | 0.20 |
Obuasi | 1.79 | 0.34 | 0.12 | 0.12 | 0.06 |
Mali | 0.36 | 0.52 | 0.58 | 0.50 | 0.46 |
Morila | 0.09 | 0.12 | 0.14 | 0.05 | 0.01 |
Sadiola | 0.27 | 0.40 | 0.27 | 0.33 | 0.44 |
Yatela | 0.00 | 0.00 | 0.17 | 0.12 | 0.01 |
Tanzania | 4.78 | 5.85 | 4.12 | 6.33 | 4.18 |
Geita | 4.78 | 5.85 | 4.12 | 6.33 | 4.18 |
Guinea | 2.35 | 10.15 | 2.47 | 0.89 | 1.71 |
Siguiri | 2.35 | 10.15 | 2.47 | 0.89 | 1.71 |
DRC | 0.94 | 0.61 | 0.62 | 0.77 | 0.96 |
Kibali | 0.94 | 0.61 | 0.62 | 0.77 | 0.96 |
Australia | 0.81 | 0.70 | 0.74 | 0.68 | 0.55 |
Sunrise Dam & Tropicana | 0.81 | 0.70 | 0.74 | 0.68 | 0.55 |
Americas | 5.62 | 6.18 | 9.41 | 9.83 | 9.02 |
Argentina | 3.81 | 3.86 | 7.74 | 8.89 | 5.81 |
Cerro Vanguardia | 3.81 | 3.86 | 7.74 | 8.89 | 5.81 |
Brazil | 0.56 | 1.94 | 1.53 | 0.49 | 2.14 |
AGA Brazil (Mineracao) | 0.48 | 1.51 | 1.21 | 0.38 | 1.76 |
Serra Grande | 0.08 | 0.43 | 0.32 | 0.11 | 0.38 |
Colombia | 1.22 | 0.27 | 0.13 | 0.45 | 1.05 |
Colombia Greenfields | 0.00 | 0.00 | 0.00 | 0.05 | 0.08 |
Quebradona | 0.75 | 0.12 | 0.06 | 0.10 | 0.17 |
Gramalote | 0.47 | 0.16 | 0.07 | 0.19 | 0.14 |
La Colosa | 0.00 | 0.00 | 0.00 | 0.11 | 0.67 |
USA | 0.03 | 0.09 | 0.00 | 0.01 | 0.01 |
Denver Office | 0.03 | 0.09 | 0.00 | 0.01 | 0.01 |
Less equity-accounted investments | -2.22 | -1.13 | -1.21 | -1.46 | -1.56 |
Sites on or adjacent to indigenous territories with formal agreements with indigenous people | |||||
Group | 0 | 0 | 0 | 0 | 0 |
Sites where resettlements took place | |||||
Group | 1 | 1 | 1 | 3 | 4 |
Operations with significant actual and potential negative impacts on local communities (%) | |||||
Group | 100 | 100 | 100 | 100 | 100 |
Sites with local community engagement programmes (%) | |||||
Group | 100 | 100 | 100 | 100 | 100 |
Operations with local community development programs based on local communities needs (%) | |||||
Group | 100 | 100 | 100 | 100 | 100 |
Community incidents | |||||
Group | 21 | 32 | 26 | 17 | 2 |
* BEE expenditure includes all spend for suppliers with valid BEE certificates as at 01 January 2020. This also accounts for the spend on suppliers whose certificates expired during the course of the reporting period. |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Total average number of employees (as per HFM) | |||||
Group* | 36 952 | 34,263 | 44,249 | 51,480 | 52,649 |
Permanent | 20 730 | 19,874 | 29,968 | 36,072 | 38,377 |
Contractors | 16 222 | 14,389 | 14,281 | 15,408 | 14,272 |
Training and development expenditure ($ million) | |||||
South Africa | 5.74 | 8.01 | 11.06 | 28.34 | 29.45 |
Americas | 1.06 | 0.96 | 1.61 | 2.26 | 2 |
Australia | 1.14 | 0.98 | 1.2 | 1.2 | 0.9 |
Continental Africa | 2.82 | 1.55 | 1.3 | 4.5 | 2.5 |
Number of grievances relating to unfair labour practices filed during the reporting period | |||||
Group | 46 | 16 | 0 | 14 | 0 |
Minimum periods regarding operational changes | |||||
Argentina | 1 month | 1 month | - | 1 month | - |
Brazil | 1 month | 30 days | 30 days | 30 days | 1 month |
Colombia | 1 month | 1 month | - | 12 months | 12 months |
Ghana | 1 month | 1 month | 1 month | 1 month | 1 month |
Guinea | 1 month | 1 month | 1 month | 1 month | 1 month |
Mali | 1 month | 1 month | 1 month | 1 month | 1 month |
South Africa: | |||||
Management and Officials | 30 days | 30 days | 30 days | 30 days | 30 days |
Miners and Artisans | 24 hours | 24 hours | 24 hours | 24 hours | 24 hours |
Category 4 to 8 Employees | 24 hours | 24 hours | 24 hours | 24 hours | 24 hours |
Tanzania | 1 month | 1 month | 1 month | 1 month | - |
Number of strike or lock out exceeding one week | |||||
Group | 0 | 0 | 0 | 0 | 0 |
Composition of governance bodies | |||||
Board composition by nationality (%) | |||||
South African | 44 | 45 | 45 | 55 | 55 |
Australian | 9 | 9 | 9 | 9 | |
Canadian | 11 | 18 | 9 | 0 | 0 |
Ghanaian | 11 | ||||
American | 22 | 18 | 18 | 18 | 18 |
British | 11 | 9 | 18 | 9 | 9 |
Indian / British | 0 | 0 | 9 | 9 | |
Board composition by HDSA (%) | |||||
HDSA | 33 | 45 | 33 | 45 | 45 |
Non-HDSA | 11 | 0 | 22 | 10 | 10 |
Non-South Africans | 56 | 55 | 45 | 45 | 45 |
Board composition by gender (%) | |||||
Men | 56 | 64 | 73 | 64 | 73 |
Women | 44 | 36 | 27 | 36 | 27 |
Executive committee composition by nationality (%) | |||||
South African | 67 | 56 | 56 | 56 | 55 |
Australian | 22 | 11 | 11 | 11 | 11 |
Canadian | 11 | 22 | 11 | 0 | 0 |
American | 0 | 11 | 11 | 11 | |
Indian / British | 0 | 0 | 11 | 11 | |
Spanish | 11 | 11 | 11 | 11 | |
Executive committee composition by HDSA (%) | |||||
HDSA | 33 | 33 | 36 | 33 | 33 |
Non-HDSA | 33 | 11 | 9 | 22 | 22 |
Non-South Africans | 33 | 56 | 55 | 45 | 45 |
Executive committee composition by gender (%) | |||||
Men | 67 | 67 | 67 | 67 | 67 |
Women | 33 | 33 | 33 | 33 | 33 |
SAR Employment Equity across all levels (%) | |||||
Board | 47 | 36 | 36 | 45 | 46 |
Top Management | 50 | 43 | 43 | 43 | 50 |
Senior Management | 45 | 45 | 44 | 42 | 41 |
Middle Management | 56 | 54 | 55 | 52 | 51 |
Junior Management | 65 | 64 | 61 | 60 | 60 |
Core and critical skills | 52 | 52 | 53 | 56 | 55 |
Proportion of senior management from local community (%) | |||||
Argentina | 100 | 100 | 100 | 100 | 100 |
Australia | 75 | 78 | 82 | 82 | 89 |
Brazil | 94 | 93 | 93 | 100 | 90 |
Corporate | 90 | 91 | 93 | 91 | 88 |
Ghana | 53 | 56 | 56 | 44 | 42 |
Guinea | 38 | 33 | 33 | 25 | 25 |
Mali | 0 | 50 | 50 | 0 | 0 |
Tanzania | 25 | 20 | 14 | 0 | 8 |
Colombia | 75 | 69 | 67 | 100 | 100 |
South Africa | 100 | 100 | 100 | 99 | 100 |
USA | 86 | 88 | 88 | 86 | 0 |
Employees covered by collective bargaining (%) | |||||
Argentina | 90 | 99 | 99 | 99 | 99 |
Australia | 0 | 0 | 0 | 0 | 0 |
Brazil | 100 | 100 | 100 | 100 | 100 |
Colombia | 0 | 0 | 0 | 0 | 7 |
Ghana | 80 | 93 | 94 | 96 | 96 |
Guinea | 94 | 96 | 97 | 95 | 95 |
Mali | 99 | 98 | 99 | 98 | 97 |
South Africa | 96 | 97 | 96 | 91 | 94 |
Tanzania | 86 | 85 | 86 | 90 | 87 |
USA | 0 | 0 | 0 | 0 | 0 |
* The average employee numbers are inclusive of Continuing and discontinued operations |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Fatalities and injuries to AngloGold Ashanti personnel in the line of duty | |||||
Fatalities | 0 | 0 | 0 | 0 | 2 |
Injuries | 8 | 25 | 30 | 22 | 35 |
Fatalities and injuries to community members related to security interventions | |||||
Fatalities | 0 | 0 | 2 | 1 | 0 |
Injuries | 35 | 49 | 40 | 32 | 36 |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
RAW MATERIALS | |||||
Liquid fossil fuels (Kilolitres) | |||||
Group | 270,063 | 332,127 | 318,102 | 318,701 | 289,345 |
Argentina | 11,302 | 15,251 | 15,591 | 18,761 | 16,050 |
Cerro Vanguardia | 11,302 | 15,251 | 15,591 | 18,761 | 16,050 |
Australia | 16,639 | 75,544 | 68,837 | 66,198 | 65,141 |
Sunrise Dam | 14,292 | 12,804 | 16,139 | 14,193 | 12,345 |
Tropicana | 2,347 | 62,740 | 52,698 | 52,005 | 52,796 |
Brazil | 22,348 | 19,518 | 16,391 | 18,741 | 16,718 |
AGA Mineração | 15,900 | 13,322 | 11,169 | 13,037 | 11,224 |
Serra Grande | 6,447 | 6,196 | 5,221 | 5,704 | 5,494 |
Ghana | 28,592 | 26,751 | 27,924 | 25,834 | 13,903 |
Iduapriem | 22,955 | 23,531 | 27,369 | 25,434 | 13,568 |
Obuasi | 5,636 | 3,220 | 555 | 400 | 335 |
Guinea | 77,599 | 71,964 | 55,557 | 58,318 | 58,629 |
Siguiri | 77,599 | 71,964 | 55,557 | 58,318 | 58,629 |
Mali | 28,304 | 29,192 | 33,267 | 37,209 | 35,995 |
Sadiola | 28,931 | 29,192 | 33,267 | 36,952 | 33,451 |
Yatela | 0 | - | - | 257 | 2,544 |
South Africa | 147 | 378 | 1,815 | 5,186 | 5,260 |
Mine Waste Solutions | 2 | 3 | 4 | 2,625 | 165 |
Vaal River | 0 | 9 | 776 | 1,735 | 3,485 |
West Wits | 147 | 366 | 1,036 | 826 | 1,610 |
Tanzania | 84,503 | 93,529 | 98,720 | 88,454 | 77,649 |
Geita | 84,503 | 93,529 | 98,720 | 88,454 | 77,649 |
Lubricants (Kilolitres) | |||||
Group | 6,047 | 6,252 | 5,698 | 5,932 | 5,102 |
Argentina | 438 | 439 | 380 | 414 | 441 |
Cerro Vanguardia | 438 | 439 | 380 | 414 | 441 |
Australia | 990 | 1,257 | 1,140 | 1,098 | 714 |
Sunrise Dam | 66 | 416 | 516 | 472 | 177 |
Tropicana | 924 | 841 | 624 | 626 | 538 |
Brazil | 1,231 | 999 | 901 | 954 | 1,025 |
AGA Mineração | 964 | 775 | 658 | 698 | 782 |
Serra Grande | 268 | 224 | 243 | 256 | 243 |
Ghana | 992 | 942 | 569 | 378 | 500 |
Iduapriem | 557 | 746 | 547 | 353 | 462 |
Obuasi | 435 | 196 | 22 | 25 | 38 |
Guinea | 838 | 681 | 612 | 680 | 92 |
Siguiri | 838 | 681 | 612 | 680 | 92 |
Mali | 162 | 119 | 272 | 371 | 376 |
Sadiola | 162 | 119 | 272 | 359 | 360 |
Yatela | - | - | - | 12 | 16 |
South Africa | 186 | 293 | 387 | 801 | 802 |
Mine Waste Solutions | 20 | 28 | 34 | 29 | 18 |
Vaal River | 93 | 26 | 9 | 251 | 319 |
West Wits | 72 | 239 | 344 | 521 | 465 |
Tanzania | 1,211 | 1,522 | 1,437 | 1236 | 1,152 |
Geita | 1,211 | 1,522 | 1,437 | 1236 | 1,152 |
Explosives (Tonnes) | |||||
Group | 50,237 | 55,225 | 53,533 | 52,136 | 41,203 |
Argentina | 3,108 | 4,285 | 3,594 | 4,368 | 4,005 |
Cerro Vanguardia | 3,108 | 4,285 | 3,594 | 4,368 | 4,005 |
Australia | 24,859 | 27,610 | 22,508 | 22,426 | 15,433 |
Sunrise Dam | 2,247 | 2,789 | 1,131 | 1,049 | 2,060 |
Tropicana | 22,611 | 24,821 | 21,377 | 21,377 | 13,373 |
Brazil | 7,859 | 5,976 | 5,665 | 5,863 | 4,046 |
AGA Mineração | 5,599 | 4,108 | 3,766 | 4,382 | 2,300 |
Serra Grande | 2,260 | 1,868 | 1,899 | 1,481 | 1,746 |
Ghana | 7,395 | 8,992 | 11,190 | 9,148 | 7,515 |
Iduapriem | 7,395 | 8,753 | 11,190 | 9,148 | 7,515 |
Obuasi | 0 | 239 | - | - | - |
Guinea | 4,421 | 2,504 | 1,370 | 899 | 1,295 |
Siguiri | 4,421 | 2,504 | 1,370 | 899 | 1,295 |
Mali | 0 | 0 | 96 | 1,826 | 858 |
Sadiola | 0 | 0 | 96 | 1,826 | 858 |
South Africa | 434 | 682 | 841 | 1,615 | 2,410 |
Mine Waste Solutions | 0 | 0 | 0 | 0 | 0 |
Vaal River | 0 | 0 | 0 | 479 | 570 |
West Wits | 434 | 682 | 841 | 1,136 | 1,840 |
Tanzania | 2,162 | 5,175 | 8,271 | 5,991 | 5,640 |
Geita | 2,162 | 5,175 | 8,271 | 5,991 | 5,640 |
Cyanide (Tonnes) | |||||
Group | 23,725 | 27,990 | 26,451 | 24,111 | 24,394 |
Argentina | 1,044 | 995 | 1,074 | 1,278 | 1,072 |
Cerro Vanguardia | 1,044 | 995 | 1,074 | 1,278 | 1,072 |
Australia | 2,394 | 2,399 | 4,119 | 4,011 | 4,696 |
Sunrise Dam | 1,681 | 1,626 | 1,500 | 1,202 | 1,244 |
Tropicana | 713 | 773 | 2,619 | 2,809 | 3,452 |
Brazil | 1,603 | 1,310 | 1,231 | 1,426 | 1,261 |
AGA Mineração | 969 | 738 | 781 | 878 | 728 |
Serra Grande | 634 | 572 | 450 | 548 | 533 |
Ghana | 2,352 | 1,535 | 1,590 | 1,440 | 1,340 |
Iduapriem | 1,421 | 1,420 | 1,590 | 1,440 | 1,340 |
Obuasi | 931 | 115 | - | - | - |
Guinea | 6,033 | 4,979 | 3,186 | 2,508 | 2,378 |
Siguiri | 6,033 | 4,979 | 3,186 | 2,508 | 2,378 |
Mali | 1,267 | 1,034 | 1,890 | 2,003 | 2,778 |
Sadiola | 1,267 | 1,034 | 1,890 | 1,779 | 1,926 |
Yatela | - | - | - | 224 | 852 |
South Africa | 7,264 | 14,106 | 11,842 | 10,122 | 9,672 |
Mine Waste Solutions | 5,142 | 8,581 | 8,873 | 6,430 | 6,349 |
Vaal River | 784 | 3,734 | 1,270 | 1,975 | 1,863 |
West Wits | 1,338 | 1,791 | 1,699 | 1,717 | 1,460 |
Tanzania | 1,768 | 1,632 | 1,519 | 1,323 | 1,197 |
Geita | 1,768 | 1,632 | 1,519 | 1,323 | 1,197 |
Total acid consumption (Tonnes) | |||||
Group | 10,412 | 11,349 | 18,777 | 54,944 | 61,438 |
Argentina | 1,626 | 2,034 | 1,370 | 1,945 | 1,952 |
Cerro Vanguardia | 1,626 | 2,034 | 1,370 | 1,945 | 1,952 |
Australia | 1,400 | 958 | 1,622 | 1,646 | 1,423 |
Sunrise Dam | 1,035 | 623 | 569 | 571 | 572 |
Tropicana | 365 | 335 | 1,054 | 1,075 | 851 |
Brazil | 1,565 | 1,807 | 1,600 | 1,352 | 1,822 |
AGA Mineração | 1,518 | 1,752 | 1,528 | 1,336 | 1,798 |
Serra Grande | 47 | 55 | 72 | 16 | 24 |
Ghana | 1,996 | 155 | 120 | 189 | 191 |
Iduapriem | 138 | 136 | 118 | 157 | 191 |
Obuasi | 1,858 | 19 | 2 | 32 | - |
Guinea | 1,027 | 635 | 680 | 1,201 | 559 |
Siguiri | 1,027 | 635 | 680 | 1,201 | 559 |
Mali | 349 | 245 | 533 | 550 | 723 |
Sadiola | 349 | 245 | 533 | 550 | 723 |
South Africa | 2,171 | 5,274 | 12,662 | 47,861 | 54,589 |
Mine Waste Solutions | 757 | 1,281 | 2,811 | 4,380 | 9,686 |
Vaal River | 158 | 2,743 | 8,946 | 42,697 | 43,795 |
West Wits | 1,256 | 1,250 | 905 | 784 | 1,108 |
Tanzania | 277 | 241 | 189 | 199 | 178 |
Geita | 277 | 241 | 189 | 199 | 178 |
Total alkali consumption (Tonnes) | |||||
Group | 141,439 | 119,954 | 119,533 | 132,653 | 133,641 |
Argentina | 2,071 | 2,021 | 2,322 | 2,083 | 2,083 |
Cerro Vanguardia | 2,071 | 2,021 | 2,322 | 2,083 | 2,083 |
Australia | 38,588 | 32,307 | 29,081 | 22,303 | 25,965 |
Sunrise Dam | 18,993 | 14,358 | 13,751 | 6,811 | 9,581 |
Tropicana | 19,595 | 17,949 | 15,331 | 15,492 | 16,384 |
Brazil | 38,606 | 16,301 | 20,569 | 22,886 | 18,108 |
AGA Mineração | 37,445 | 15,067 | 19,678 | 21,258 | 16,738 |
Serra Grande | 1,162 | 1,234 | 891 | 1,628 | 1,370 |
Ghana | 11,909 | 3,468 | 3,922 | 3,609 | 3,127 |
Iduapriem | 3,458 | 3,400 | 3,922 | 3,609 | 3,124 |
Obuasi | 8,451 | 68 | - | - | 3 |
Guinea | 12,568 | 15,601 | 14,747 | 15,117 | 15,633 |
Siguiri | 12,568 | 15,601 | 14,747 | 15,117 | 15,633 |
Mali | 7,200 | 4,134 | 7,536 | 8,368 | 12,016 |
Sadiola | 7,200 | 4,134 | 7,536 | 8,368 | 11,065 |
Yatela | - | - | - | - | 951 |
South Africa | 24,793 | 41,020 | 36,740 | 53,986 | 50,932 |
Mine Waste Solutions | 19,772 | 27,930 | 26,765 | 24,824 | 21,698 |
Vaal River | 2,254 | 9,716 | 6,308 | 25,613 | 26,387 |
West Wits | 2,766 | 3,374 | 3,667 | 3,549 | 2,847 |
Tanzania | 5,703 | 5,103 | 4,616 | 4,150 | 5,777 |
Geita | 5,703 | 5,103 | 4,616 | 4,150 | 5,777 |
Waste | |||||
Non-hazardous waste | |||||
Non-hazardous waste by type (tonnes) | 7,373 | 14,814 | 13,755 | 20,773 | 19,688 |
Recycled ferrous metal waste | 6,963 | 14,258 | 12,973 | 19,949 | 17,796 |
Recycled non-ferrous metal waste | 409 | 556 | 782 | 824 | 1,892 |
General waste (tonnes) | 25,145 | 40,338 | 33,019 | 48,043 | 58,477 |
Recycled | 2,867 | 1,444 | 1,018 | 1,839 | 4,845 |
On-site disposal | 21,305 | 20,109 | 31,031 | 45,350 | 44,243 |
Off-site disposal | 973 | 18,785 | 970 | 854 | 9,389 |
Hazardous waste by type | |||||
Battery waste (Tonnes) | 94 | 91 | 40 | 361 | 110 |
Recycled | 93 | 82 | 36 | 361 | 109 |
Off-site disposal | 1 | 9 | 4 | 0.02 | 1 |
Hydrocarbon waste (m³) | 3,968 | **1,444 | 2,974 | 3,786 | 5,162 |
Recycled | 2,247 | 1,216 | 2,042 | 2,291 | 1,992 |
On-site disposal | 0 | 0 | 0 | 0 | 327 |
Off-site disposal | 1,721 | 228 | 932 | 1,495 | 2,843 |
Other hazardous waste incl. fluorescent lighting and chemical and solvent waste (Tonnes) | 18,569 | 25,330 | 23,803 | 31,377 | 24,689 |
Recycled | 972 | 857 | 729 | 703 | 614 |
On-site disposal | 17,440 | 24,225 | 22,776 | 30,577 | 23,849 |
Off-site disposal | 158 | 248 | 298 | 97 | 226 |
International Cyanide Management Code certification | |||||
Number of processing plants certified in full compliance to the international cyanide management code | 14 | 13 | 14 | 17 | 15 |
Percentage of processing plants certified in full compliance to the international cyanide management code | 88 | 87 | 93 | 94 | 83 |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
WATER | |||||
Water use (Megalitres) | |||||
Group | 47,405 | 47,896 | 45,892 | 52,219 | 50,716 |
Argentina | 1,392 | 1,512 | 1,596 | 1,487 | 1,152 |
Cerro Vanguardia | 1,392 | 1,512 | 1,596 | 1,487 | 1,152 |
Australia | 8,728 | 8,698 | 7,734 | 6,783 | 7,577 |
Sunrise Dam | 1,657 | 1,898 | 1,808 | 1,115 | 1,779 |
Tropicana | 7,071 | 6,801 | 5,926 | 5,668 | 5,798 |
Brazil | 9,184 | 7,268 | 6,217 | 6,799 | 6,915 |
AGA Mineração | 8,063 | 6,825 | 4,717 | 5,295 | 5,292 |
Serra Grande | 1,121 | 443 | 1,500 | 1,504 | 1,623 |
Ghana | 2,133 | 80 | 1,636 | 2,137 | 936 |
Iduapriem | 454 | 80 | 1,636 | 2,137 | 936 |
Obuasi | 1,678 | - | - | - | - |
Guinea | 7,408 | 7,083 | 6,027 | 6,349 | 3,395 |
Siguiri | 7,408 | 7,083 | 6,027 | 6,349 | 3,395 |
Mali | 4,657 | 5,409 | 4,201 | 3,476 | 3,944 |
Sadiola | 4,657 | 5,409 | 4,201 | 3,476 | 3,940 |
Yatela | - | - | - | - | 4 |
South Africa | 10,738 | 14,617 | 14,770 | 20,503 | 23,161 |
Mine Waste Solutions | 6,469 | 7,779 | 7,007 | 6,002 | 6,475 |
Vaal River | 1,544 | 3,581 | 4,507 | 10,813 | 12,275 |
West Wits | 2,725 | 3,257 | 3,256 | 3,688 | 4,411 |
Tanzania | 3,165 | 3,229 | 3,711 | 4,689 | 3,637 |
Geita | 3,165 | 3,229 | 3,711 | 4,689 | 3,637 |
Water use efficiency (Kilolitres per tonne) | |||||
Group | 0.68 | 0.59 | 0.57 | 0.61 | 0.59 |
Argentina | 0.61 | 0.52 | 0.55 | 0.45 | 0.37 |
Cerro Vanguardia | 0.61 | 0.52 | 0.55 | 0.45 | 0.37 |
Australia | 0.68 | 0.68 | 0.65 | 0.58 | 0.69 |
Sunrise Dam | 0.41 | 0.46 | 0.45 | 0.28 | 0.44 |
Tropicana | 0.80 | 0.79 | 0.76 | 0.74 | 0.84 |
Brazil | 1.73 | 1.60 | 1.50 | 1.54 | 1.69 |
AGA Mineração | 2.12 | 2.11 | 1.59 | 1.76 | 1.90 |
Serra Grande | 0.74 | 0.34 | 1.29 | 1.06 | 1.23 |
Ghana | 0.38 | 0.02 | 0.31 | 0.42 | 0.18 |
Iduapriem | 0.09 | 0.02 | 0.31 | 0.42 | 0.18 |
Obuasi | 2.74 | 0.00 | 0.00 | 0.00 | 0.00 |
Guinea | 0.66 | 0.68 | 0.58 | 0.54 | 0.28 |
Siguiri | 0.66 | 0.68 | 0.58 | 0.54 | 0.28 |
Mali | 1.25 | 1.13 | 0.81 | 0.69 | 0.77 |
Sadiola | 1.25 | 1.13 | 0.81 | 0.69 | 0.80 |
Yatela | - | - | 0.00 | 0.00 | 0.02 |
South Africa | 0.46 | 0.42 | 0.42 | 0.53 | 0.59 |
Mine Waste Solutions | 0.36 | 0.29 | 0.27 | 0.23 | 0.25 |
Vaal River | 0.67 | 0.94 | 1.10 | 1.36 | 1.37 |
West Wits | 0.79 | 0.69 | 0.69 | 0.80 | 1.00 |
Tanzania | 0.58 | 0.62 | 0.69 | 0.88 | 0.66 |
Geita | 0.58 | 0.62 | 0.69 | 0.88 | 0.66 |
Water Use by Source | |||||
Location | Ground water use related to production kL | Utility and/or other external water suppliers related to production kL | Total Water Use related to production kL | ||
Vaal River (Input) | 650,906 | 291,406 | 1,544,289 | ||
West Wits (Input) | 899,190 | 1,826,247 | 2,725,437 | ||
Mine Waste Solutions | 732,747 | 5,735,893 | 6,468,640 | ||
Sadiola | - 0 | - 0 | 4,657,092 | ||
Obuasi | 1,678,202 | - 0 | 1,678,202 | ||
Iduapriem | 88,041 | - 0 | 454,483 | ||
Siguiri | - 0 | - 0 | 7,408,464 | ||
Geita | - 0 | - 0 | 3,164,501 | ||
Sunrise Dam | 1,607,164 | 49,564 | 1,656,728 | ||
Tropicana | 7,071,399 | - 0 | 7,071,399 | ||
AGA Brazil (Mineracao) | 3,009,569 | - 0 | 8,062,743 | ||
[001]Serra Grande | 1,120,930 | - 0 | 1,120,930 | ||
Cerro Vanguardia | 1,391,964 | - 0 | 1,391,964 | ||
Total AGA | 18,250,112 | 7,903,110 | 47,404,872 | ||
Location | Percentage of water Re-used as per the MCA Water Accounting Framework | Total volume of water recycled and reused by the organisation kL | Total Water Use related to production kL | ||
Sadiola | 66 | 12,088,975 | 18,183,733 | ||
Obuasi | 54 | 4,240,087 | 7,888,705 | ||
Iduapriem | 82 | 11,270,378 | 13,821,401 | ||
Siguiri | 72 | 31,809,860 | 43,882,520 | ||
Geita | 80 | 15,163,927 | 19,043,318 | ||
Sunrise Dam | 61 | 3,261,191 | 5,341,444 | ||
Tropicana | 53 | 8,265,945 | 15,740,221 | ||
AGA Brazil (Mineracao) | 48 | 10,744,418 | 22,338,585 | ||
Serra Grande | 65 | 4,255,646 | 6,542,408 | ||
Cerro Vanguardia | 80 | 6,651,302 | 8,362,201 | ||
Vaal River (Input) | 62 | 5,137,789 | 8,308,445 | ||
Mine Waste Solutions | 87 | 59,494,105 | 68,506,404 | ||
West Wits (Input) | 78 | 18,378,031 | 23,548,078 | ||
Total AGA | 73 | 190,761,654 | 261,507,463 | ||
Metric | Description | Volume of water by Quality | |||
AGA 2020 Interactions with water | High (ML) | Low (ML) | Total (ML) | ||
Imports for use | Surface water | 21,252 | 0 | 21,252 | |
Groundwater | 4,219 | 14,032 | 18,250 | ||
Third party water | 7,903 | 0 | 7,903 | ||
Total water Imports | 33,373 | 14,032 | 47,405 | ||
Harvested Rainfall | Direct Rainfall | 20,454 | - | 20,454 | |
Indirect Runoff | 2,887 | - | 2,887 | ||
Total Rainfall | 23,341 | - | 23,341 | ||
Discharge from process system | To Surface water | 3,292 | 2,724 | 6,016 | |
To Groundwater | 0 | 0 | 0 | ||
To Third parties | 0 | 0 | 0 | ||
Total discharge | 3,292 | 2,724 | 6,016 | ||
Consumption | Evaporation, Entrainment or Other | 51891.8019644089 | 12838.4620390911 | 64,730 | |
Efficiency | Water reuse (%) | 73% | |||
Diversions | Through and from operations | 13,895 | - | 13,895 | |
Ref: 2017 ICMM consistant water reporting guide. | |||||
High Quality: Less or equal to 1000 ppm of total dissolved solids. | |||||
Low Quality: Greater than 1000 ppm of total dissolved solids. | |||||
EMISSIONS | |||||
Water Diversions | |||||
Location | Description | ||||
Iduapriem | A volume of 3,641,332 kL of directly captured rainfall and surface runoff was diverted from the Block 7 & 8 pit to the Agonabeng stream, having an average pH of 6.93 and a conductivity of 0.41 mS/cm. No treatment was required. | ||||
Iduapriem | A volume of 571,790 kL of directly captured rainfall and surface runoff was diverted from the Block 3 pit to the Agonabeng stream, having an average pH of 8.31 and a conductivity of 0.40 mS/cm. No treatment was required. | ||||
Serra Grande | An estimated 963,706 kL of groundwater was dewatered from the Mina Nova mine having an annual average pH of 7.89 and a conductivity of 1.14 mS/cm, and was diverted to the Vermelho River following suspended solids precipitation with flocculant. | ||||
Serra Grande | An estimated 439,265 kL of groundwater was dewatered from the Palmeiras Mine having an annual average pH of 7.66 and a conductivity of 0.72 mS/cm, and was diverted to the Gerais stream following suspended solids precipitation with flocculant. | ||||
Serra Grande | An estimated 51,037 kL of groundwater was dewatered from the Palmeiras Mine having an annual average pH of 7.50 and a conductivity of 0.58 mS/cm, and was diverted to the Almas stream following primary biological treatment and chlorination. | ||||
AGA Mineração | 201,342 kL of groundwater was dewatered from Cuiabá Mine, having an annual average pH of 7.30 and a conductivity of 0.30 mS/cm, and was diverted to the Sabará River following pH adjustment with sodium hydroxide. | ||||
AGA Mineração | 499,336 kL of groundwater was dewatered from Lamego Mine water with an annual average pH of 8.00 and a conductivity of 0.86 mS/cm, and was diverted to the Papa Farinha and Pataca Creek (Conceição River) following removal of suspended solids through flocculation. | ||||
AGA Mineração | 658,134 kL of groundwater was dewatered from the Córrego do Sítio Mine water with an annual average pH of 7.7 and a conductivity of 0.91 mS/cm, and was diverted to the Conceição River following correction of arsenic concentration with ferrous sulphate and the removal of suspended solids through flocculation. | ||||
Obuasi | A volume of 689,127 kL of treated runoff water from the Pompora and Kokoteasua TSFs was diverted via the Pompora Reverse Osmosis Plant to the Kwabrafo River having an annual average pH of 6.80 and a conductivity of 0.46 mS/cm. | ||||
West Wits | A volume of 367,159 kL of purified sewage effluent was released from the Aquatic Dam to the Elandsfonteinspruit, with an average pH of 7.73 and an average conductivity of 1.5 mS/cm | ||||
Sunrise Dam | A volume of 698,610 kL of groundwater from the underground mine and pit dewatering having an annual average pH of 6.6 and a conductivity of 215.57 mS/cm, was diverted to Lake Carey, a salt lake. | ||||
Siguiri | A volume of 753,983 kL of excess water from Tubani pit was diverted to the environment having an annual average pH of 6.28 and a conductivity of 0.48 mS/cm. | ||||
Siguiri | A volume of 662,648 kL of excess water from Kami pit was diverted to the environment having an annual average pH of 6.76 and a conductivity of 0.60 mS/cm. | ||||
Siguiri | A volume of 173,704 kL of excess water from Silakoro pit was diverted to the environment having an annual average pH of 7.39 and a conductivity of 0.34 mS/cm. | ||||
Water Discharges | |||||
Location | Description | ||||
AGA Mineração | 5,946,906 kL of Queiroz Plant effluent water with an annual average pH of 6.5 and a conductivity of 2.06 mS/cm, was discharged was discharged via the Cocoruto dam to the Velhas River following arsenic precipitation with ferric sulphate. | ||||
AGA Mineração | 301,201 kL of excess water from Córrego do Sítio process plant, with an annual average pH of 7.78 and a conductivity of 4.43 mS/cm, was discharged to the Conceição River following arsenic precipitation with ferric sulphate and pH adjustment with lime. | ||||
Serra Grande | An estimated 880,788 kL of excess water from the Serra Grande process plant, with an annual average pH of 7.29 and a conductivity of 1.80 mS/cm, was discharged to a tributary of the Red River following arsenic precipitation and cyanide destruction. | ||||
Obuasi | A volume of 789,112 kL of excess water from the South Treatment Plant's OTP Pond was treated and discharged from the South Reverse Osmosis Plant to the Nyam River having an annual average pH of 7.20 and a conductivity of 0.58 mS/cm. | ||||
Obuasi | A volume of 1,621,818 kL of water from Pond 3 was treated and discharged from the South Reverse Osmosis Plant to the Nyam River having an annual average pH of 7.30 and a conductivity of 0.59 mS/cm | ||||
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
NOx,Sox (tonnes) | |||||
Oxides of Nitrogen | 5118 | 4862 | 4,624 | 4,073 | 4,496 |
Oxides of Sulphur | 134 | 143 | 117 | 170 | 629 |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Reportable environmental incidents | 8 | 3 | 2 | 3 | 1 |
Indictor | 2020 | ||||
Value of significant environmental fines paid | AngloGold Ashanti defines a significant fine as one that exceeds USD100,000. No such fines were paid in 2020. Note that a fine received following the significant environmental incident at Cuiaba mine, exceeds this threshold, however it is currently under appeal. | ||||
Number of significant non-monetary sanctions received | One non-monetary sanction following environmental violations was received by Geita gold mine. | ||||
Water sources significantly affected by withdrawal of water in 2020 | The 401,000 ha Niger-Tinkisso Ramsar site is an extensive area of river and freshwater ponds and marshes between and around the Tinkisso and Niger Rivers, however its boundaries are not clearly defined. As many as 101,000 ha of the Ramsar site may overlap the (159,000 ha) Siguiri mine concession in Guinea. The mine abstracts less than 0.5% of the Tinkisso River's annual flow. |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Energy consumption (Petajoules) | |||||
Group | 25.57 | 26.32 | 25.38 | 29.76 | 28.55 |
Argentina | 1.56 | 1.86 | 1.87 | 1.90 | 1.76 |
Cerro Vanguardia | 1.56 | 1.86 | 1.87 | 1.90 | 1.76 |
Australia | 7.77 | 7.68 | 6.72 | 6.32 | 5.62 |
Sunrise Dam | 2.79 | 2.67 | 2.49 | 2.18 | 2.03 |
Tropicana | 4.97 | 5.01 | 4.23 | 4.14 | 3.59 |
Brazil | 2.61 | 2.45 | 2.26 | 2.33 | 2.18 |
AGA Mineração | 1.98 | 1.83 | 1.72 | 1.77 | 1.64 |
Serra Grande | 0.62 | 0.62 | 0.54 | 0.56 | 0.54 |
Ghana | 2.45 | 1.99 | 1.84 | 1.72 | 1.32 |
Iduapriem | 1.43 | 1.41 | 1.58 | 1.46 | 1.02 |
Obuasi | 1.02 | 0.58 | 0.26 | 0.26 | 0.30 |
Guinea | 3.28 | 3.02 | 2.29 | 2.40 | 2.58 |
Siguiri | 3.28 | 3.02 | 2.29 | 2.40 | 2.58 |
Mali | 1.22 | 1.23 | 1.31 | 1.55 | 1.50 |
Sadiola | 1.22 | 1.23 | 1.31 | 1.55 | 1.40 |
Yatela | - | - | 0.00 | 0.00 | 0.10 |
South Africa | 3.35 | 4.40 | 5.17 | 10.05 | 10.54 |
Mine Waste Solutions | 0.67 | 0.82 | 0.87 | 0.83 | 0.74 |
Vaal River | 0.37 | 0.60 | 1.20 | 4.61 | 4.87 |
West Wits | 2.31 | 2.98 | 3.10 | 4.61 | 4.93 |
Tanzania | 3.34 | 3.69 | 3.92 | 3.49 | 3.07 |
Geita | 3.34 | 3.69 | 3.92 | 3.49 | 3.07 |
Energy intensity (Gigajoule per metric tonne treated) | |||||
Group | 0.37 | 0.33 | 0.32 | 0.35 | 0.33 |
Argentina | 0.69 | 0.64 | 0.65 | 0.58 | 0.56 |
Cerro Vanguardia | 0.69 | 0.64 | 0.65 | 0.58 | 0.56 |
Australia | 0.60 | 0.60 | 0.57 | 0.54 | 0.51 |
Sunrise Dam | 0.69 | 0.65 | 0.62 | 0.54 | 0.50 |
Tropicana | 0.56 | 0.58 | 0.54 | 0.54 | 0.52 |
Brazil | 0.49 | 0.54 | 0.55 | 0.53 | 0.53 |
AGA Mineração | 0.52 | 0.57 | 0.58 | 0.59 | 0.59 |
Serra Grande | 0.41 | 0.47 | 0.47 | 0.39 | 0.41 |
Ghana | 0.44 | 0.28 | 0.30 | 0.34 | 0.26 |
Iduapriem | 0.29 | 0.28 | 0.30 | 0.29 | 0.20 |
Obuasi | 1.66 | - | 0.00 | 0.00 | 0.00 |
Guinea | 0.29 | 0.29 | 0.22 | 0.21 | 0.21 |
Siguiri | 0.29 | 0.29 | 0.22 | 0.21 | 0.21 |
Mali | 0.33 | 0.26 | 0.25 | 0.31 | 0.29 |
Sadiola | 0.33 | 0.26 | 0.25 | 0.31 | 0.28 |
Yatela | - | - | - | - | 0.54 |
South Africa | 0.14 | 0.13 | 0.15 | 0.26 | 0.27 |
Mine Waste Solutions | 0.04 | 0.03 | 0.03 | 0.03 | 0.03 |
Vaal River | 0.16 | 0.16 | 0.29 | 0.58 | 0.54 |
West Wits | 0.67 | 0.63 | 0.66 | 1.00 | 1.11 |
Tanzania | 0.62 | 0.71 | 0.73 | 0.65 | 0.56 |
Geita | 0.62 | 0.71 | 0.73 | 0.65 | 0.56 |
GHG emissions (Kilotonnes of GHG) | |||||
Group | 2,337 | 2,570 | 2,571 | 3,953 | 4,062 |
Argentina | 83 | 101 | 102 | 106 | 120 |
Cerro Vanguardia | 83 | 101 | 102 | 106 | 120 |
Australia | 451 | 449 | 395 | 372 | 336 |
Sunrise Dam | 154 | 146 | 140 | 122 | 113 |
Tropicana | 297 | 303 | 255 | 250 | 223 |
Brazil | 83 | 76 | 66 | 76 | 60 |
AGA Mineração | 59 | 52 | 45 | 52 | 41 |
Serra Grande | 24 | 24 | 21 | 24 | 19 |
Ghana | 238 | 185 | 165 | 160 | 149 |
Iduapriem | 126 | 121 | 134 | 124 | 108 |
Obuasi | 112 | 64 | 31 | 36 | 41 |
Guinea | 222 | 205 | 156 | 163 | 194 |
Siguiri | 222 | 205 | 156 | 163 | 194 |
Mali | 83 | 84 | 89 | 106 | 111 |
Sadiola | 83 | 84 | 89 | 106 | 104 |
Yatela | - | - | - | - | 7 |
South Africa | 950 | 1,139 | 1,332 | 2,733 | 2,864 |
Mine Waste Solutions | 177 | 210 | 210 | 201 | 207 |
Vaal River | 109 | 173 | 317 | 1,242 | 1,282 |
West Wits | 664 | 835 | 805 | 1,290 | 1,375 |
Tanzania | 227 | 251 | 266 | 238 | 228 |
Geita | 227 | 251 | 266 | 238 | 228 |
GHG emissions intensity (Kilograms of GHG per tonne treated) | |||||
Group | 33 | 32 | 32 | 46 | 48 |
Argentina | 37 | 35 | 35 | 32 | 38 |
Cerro Vanguardia | 37 | 35 | 35 | 32 | 38 |
Australia | 35 | 35 | 33 | 32 | 31 |
Sunrise Dam | 38 | 36 | 35 | 30 | 28 |
Tropicana | 34 | 35 | 33 | 33 | 32 |
Brazil | 16 | 17 | 16 | 17 | 15 |
AGA Mineração | 16 | 16 | 15 | 17 | 15 |
Serra Grande | 16 | 18 | 18 | 17 | 14 |
Ghana | 42 | 24 | 31 | 32 | 29 |
Iduapriem | 25 | 24 | 25 | 25 | 21 |
Obuasi | 183 | 0 | 0 | 0 | 0 |
Guinea | 20 | 20 | 15 | 14 | 16 |
Siguiri | 20 | 20 | 15 | 14 | 16 |
Mali | 22 | 18 | 17 | 21 | 22 |
Sadiola | 22 | 18 | 17 | 21 | 21 |
Yatela | - | - | - | - | 40 |
South Africa | 40 | 35 | 38 | 70 | 73 |
Mine Waste Solutions | 10 | 8 | 8 | 8 | 8 |
Vaal River | 47 | 45 | 78 | 156 | 143 |
West Wits | 194 | 176 | 171 | 280 | 311 |
Tanzania | 42 | 48 | 50 | 44 | 41 |
Geita | 42 | 48 | 50 | 44 | 41 |
Direct and Indirect Energy (Petajoules) | |||||
Group | |||||
Indirect Energy | 5.99 | 6.48 | 6.85 | 11.35 | 11.76 |
Direct Energy | 19.58 | 19.85 | 18.54 | 18.42 | 16.79 |
Sadiola | |||||
Indirect Energy | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Direct Energy | 1.22 | 1.23 | 1.31 | 1.55 | 1.40 |
Yatela | |||||
Indirect Energy | - 0 | - 0 | - 0 | - 0 | 0.00 |
Direct Energy | - 0 | - 0 | - 0 | - 0 | 0.10 |
Obuasi | |||||
Indirect Energy | 0.79 | 0.45 | 0.24 | 0.25 | 0.29 |
Direct Energy | 0.22 | 0.13 | 0.02 | 0.02 | 0.01 |
Iduapriem | |||||
Indirect Energy | 0.53 | 0.48 | 0.50 | 0.45 | 0.49 |
Direct Energy | 0.91 | 0.93 | 1.08 | 1.00 | 0.54 |
Siguiri | |||||
Indirect Energy | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Direct Energy | 3.28 | 3.02 | 2.29 | 2.40 | 2.58 |
Geita | |||||
Indirect Energy | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Direct Energy | 3.34 | 3.69 | 3.92 | 3.49 | 3.07 |
Sunrise Dam | |||||
Indirect Energy | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Direct Energy | 2.79 | 2.67 | 2.49 | 2.18 | 2.03 |
Tropicana | |||||
Indirect Energy | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Direct Energy | 4.97 | 5.01 | 4.23 | 4.14 | 3.59 |
AGA Brazil (Mineracao) | |||||
Indirect Energy | 1.05 | 0.91 | 0.80 | 0.81 | 0.71 |
Direct Energy | 0.94 | 0.92 | 0.92 | 0.96 | 0.93 |
Serra Grande | |||||
Indirect Energy | 0.37 | 0.37 | 0.34 | 0.33 | 0.32 |
Direct Energy | 0.25 | 0.24 | 0.21 | 0.23 | 0.22 |
Cerro Vanguardia | |||||
Indirect Energy | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Direct Energy | 1.56 | 1.86 | 1.87 | 1.90 | 1.76 |
Vaal River (Input) | |||||
Indirect Energy | 0.37 | 0.60 | 1.17 | 4.26 | 4.36 |
Direct Energy | 0.00 | 0.00 | 0.03 | 0.35 | 0.51 |
West Wits (Input) | |||||
Indirect Energy | 2.30 | 2.96 | 3.06 | 4.58 | 4.87 |
Direct Energy | 0.01 | 0.01 | 0.04 | 0.03 | 0.06 |
Mine Waste Solutions | |||||
Indirect Energy | 0.58 | 0.70 | 0.74 | 0.66 | 0.74 |
Direct Energy | 0.09 | 0.12 | 0.13 | 0.16 | 0.01 |
Direct and Indirect Emissions (Kilotonnes of GHG) | |||||
Group | |||||
Direct GHG Emissions | 1,214 | 1,233 | 1,147 | 1,205 | 1,182 |
Indirect GHG Emissions | 1,123 | 1,337 | 1,424 | 2,747 | 2,880 |
Sadiola | |||||
Direct GHG Emissions | 83 | 84 | 89 | 106 | 104 |
Indirect GHG Emissions | 0 | 0 | 0 | 0 | 0 |
Yatela | |||||
Direct GHG Emissions | - 0 | - 0 | - 0 | - 0 | 7 |
Indirect GHG Emissions | - 0 | - 0 | - 0 | - 0 | - 0 |
Obuasi | |||||
Direct GHG Emissions | 15 | 9 | 1 | 1 | 1 |
Indirect GHG Emissions | 97 | 155 | 29 | 35 | 40 |
Iduapriem | |||||
Direct GHG Emissions | 62 | 63 | 73 | 68 | 40 |
Indirect GHG Emissions | 64 | 58 | 61 | 55 | 68 |
Siguiri | |||||
Direct GHG Emissions | 222 | 205 | 156 | 163 | 194 |
Indirect GHG Emissions | 0 | 0 | 0 | 0 | 0 |
Geita | |||||
Direct GHG Emissions | 227 | 251 | 266 | 238 | 228 |
Indirect GHG Emissions | 0 | 0 | 0 | 0 | 0 |
Sunrise Dam | |||||
Direct GHG Emissions | 154 | 146 | 140 | 122 | 113 |
Indirect GHG Emissions | 0 | 0 | 0 | 0 | 0 |
Tropicana | |||||
Direct GHG Emissions | 297 | 303 | 255 | 250 | 223 |
Indirect GHG Emissions | 0 | 0 | 0 | 0 | 0 |
AGA Brazil (Mineracao) | |||||
Direct GHG Emissions | 46 | 38 | 32 | 36 | 36 |
Indirect GHG Emissions | 14 | 14 | 13 | 16 | 6 |
Serra Grande | |||||
Direct GHG Emissions | 17 | 17 | 14 | 15 | 16 |
Indirect GHG Emissions | 6 | 8 | 7 | 9 | 3 |
Cerro Vanguardia | |||||
Direct GHG Emissions | 83 | 101 | 102 | 106 | 120 |
Indirect GHG Emissions | 0 | 0 | 0 | 0 | 0 |
Vaal River (Input) | |||||
Direct GHG Emissions | 0 | 0 | 2 | 46 | 59 |
Indirect GHG Emissions | 109 | 173 | 315 | 1,196 | 1,223 |
West Wits (Input) | |||||
Direct GHG Emissions | 0.42 | 7 | 5 | 40 | 42 |
Indirect GHG Emissions | 663 | 828 | 800 | 1,251 | 1,333 |
Mine Waste Solutions | |||||
Direct GHG Emissions | 7 | 9 | 10 | 14 | 0 |
Indirect GHG Emissions | 170 | 201 | 200 | 186 | 206 |
Indicator | 2020 | ||||
Financial implications and opportunities due to climate change | Climate change poses challenges and opportunities to AngloGold Ashanti and consideration of these factors influences business-planning processes. Regulatory responses to climate change in the form of carbon pricing and budgeting are increasingly being considered in the jurisdictions in which we operate and as more participating countries ratify the 2015 Paris Agreement. Its however noted that economic concerns appear to be delaying the implementation of these in some jurisdictions. The South African carbon tax was signed into law by President Cyril Ramaphosa and gazetted in May 2019. The first phase of the act came into effect on 1 June 2019. This phase applies to Scope 1 emitters until 31 December 2022 and contains tax-free emission allowances. In 2020, our South African operation's Scope 1 emissions were approximately 7Kt and will not attract material carbon taxes. The Australian Commonwealth Government introduced the Safeguard Mechanism (Rule 2015) to provide a framework for Australia's largest emitters to measure, report and manage their emissions. It does this by encouraging large facilities, whose net emissions exceed the safeguard threshold, to keep their emissions at or below emissions baselines set by the Clean Energy Regulator. The safeguard mechanism applies to facilities with Scope 1 emissions of more than 100,000 tonnes of CO2-e per financial year. The Australian mining operations (Sunrise Dam and Tropicana) had emissions baselines set in 2016 for a 3 year period, to meet the requirements of the safeguard mechanism. The Safeguard Mechanism (Rule 2015) has been amended to adopt government-determined prescribed production variables. Over 2020, the Australian mining operations re-calculated their respective emissions baselines to comply with the changes in legislation. |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
RAW MATERIALS | |||||
Ore processed (Kilotonnes) | |||||
Group | 70,020 | 80,769 | 80,071 | 85,419 | 85,504 |
Argentina | 2,267 | 2,894 | 2,882 | 3,309 | 3,141 |
Cerro Vanguardia | 2,267 | 2,894 | 2,882 | 3,309 | 3,141 |
Australia | 12,866 | 12,732 | 11,851 | 11,687 | 10,968 |
Sunrise Dam | 4,039 | 4,086 | 4,031 | 4,033 | 4,041 |
Tropicana | 8,827 | 8,647 | 7,819 | 7,654 | 6,927 |
Brazil | 5,323 | 4,531 | 4,133 | 4,424 | 4,095 |
AGA Mineração | 3,801 | 3,232 | 2,971 | 2,999 | 2,778 |
Serra Grande | 1,522 | 1,299 | 1,162 | 1,425 | 1,317 |
Ghana | 5,621 | 5,119 | 5,346 | 5,058 | 5,129 |
Iduapriem | 5,009 | 5,101 | 5,346 | 5,058 | 5,129 |
Obuasi | 612 | 19 | - | - | - |
Guinea | 11,216 | 10,382 | 10,429 | 11,677 | 12,062 |
Siguiri | 11,216 | 10,382 | 10,429 | 11,677 | 12,062 |
Mali | 3,735 | 4,773 | 5,183 | 5,030 | 5,093 |
Sadiola | 3,735 | 4,773 | 5,183 | 5,030 | 4,908 |
Yatela | 0 | - | - | - | 185 |
South Africa | 23,569 | 35,132 | 34,901 | 38,877 | 39,497 |
Mine Waste Solutions | 17,825 | 26,598 | 26,103 | 26,322 | 26,083 |
Vaal River | 2,314 | 3,800 | 4,082 | 7,940 | 8,987 |
West Wits | 3,430 | 4,734 | 4,716 | 4,615 | 4,427 |
Tanzania | 5,424 | 5,206 | 5,345 | 5,358 | 5,517 |
Geita | 5,424 | 5,206 | 5,345 | 5,358 | 5,517 |
Tailings deposited per country (Megatonnes) | |||||
Group | 70.02 | 80.77 | 80.07 | 89.76 | 85.5 |
Argentina | 2.27 | 2.89 | 2.88 | 7.65 | 3.14 |
Australia | 12.87 | 12.73 | 11.85 | 11.69 | 10.97 |
Brazil | 5.32 | 4.53 | 4.13 | 4.42 | 4.1 |
Ghana | 5.62 | 5.12 | 5.35 | 5.06 | 5.13 |
Guinea | 11.22 | 10.38 | 10.43 | 11.68 | 12.06 |
Mali | 3.74 | 4.77 | 5.18 | 5.03 | 5.09 |
South Africa | 23.57 | 35.13 | 34.9 | 38.88 | 39.5 |
Tanzania | 5.42 | 5.21 | 5.35 | 5.36 | 5.52 |
Overburden and waste rock placed per country (Megatonnes) | |||||
Group | 140.84 | 165.32 | 172.48 | 191.56 | 162.56 |
Argentina | 11.48 | 17.58 | 15.59 | 18.62 | 16.45 |
Australia | 75.94 | 86.25 | 79.71 | 85.81 | 66.11 |
Brazil | 8.58 | 9.04 | 5.45 | 11.45 | 9.16 |
Ghana | 26.27 | 26.39 | 32.99 | 30.29 | 22.72 |
Guinea | 15.23 | 10.13 | 7.8 | 7.97 | 11.89 |
Mali | 0 | 0 | 0 | 8.13 | 7.87 |
South Africa | 0 | 0 | 0 | 0 | 0 |
Tanzania | 3.35 | 15.93 | 30.94 | 29.31 | 28.37 |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Number of human rights reported incidents under VPSHR | 0 | 0 | 0 | 3 | 2 |
Number of human rights allegations under VPSHR | 0 | 3 | 1 | 2 | 6 |
Security personnel trained in the organisations' human rights policies and procedures (%) | 99.0 | 99.5 | 98 | 94 | 94 |
Incidents of violations involving the rights of indigenous peoples | 0 | 0 | 0 | 0 | 0 |
New suppliers screened (%) | |||||
Using labour practices criteria | 46 | 40 | 80 | 30.59 | 100 |
Using human rights criteria | 46 | 40 | 75 | 77.59 | 100 |
Using environmental criteria | 46 | 40 | 43 | 30.59 | 100 |
Using impact on society criteria | 51 | 40 | 68 | 30.59 | 100 |
Operations and suppliers identified as having significant risk for incidents of child labour and measures taken to effectively abolish child labour* | 0 | 0 | |||
Operations and suppliers identified as having significant risk for incidents of forced or compulsory labour* | 0 | 0 | |||
* As an organisation we have not identified instances of child labour at any of the operations. AngloGold Ashanti subscribes to the International Labour Organisations principles and as such have internal global policies to this effect, namely: - Fundamental Human Rights Policy: https://www.anglogoldashanti.com/wp-content/uploads/2017/07/Fundamental-Labour-Rights-Policy.pdf - Code of Business Principles: https://www.anglogoldashanti.com/wp-content/uploads/2017/07/COE_A4ENGLISH.pdf Ethics Regional head of departments, general manager's and all management are responsible for the implementation of the policies. |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Fatalities and injuries to community members whilst engaged in illegal activity, and not related to security interventions | |||||
Fatalities | 12 | 25 | 37 | 33 | 11 |
Injuries | 27 | 20 | 9 | 18 | 5 |
Number of sites/operations where ASM takes place adjacent or near the mine | 11 | 11 | 11 | 11 | 11 |
Land Disturbed / Rehabilitated | ||||||
Location | Total land disturbed and not yet rehabilitated opening balance | Total amount of land newly disturbed within the reporting year | Total amount of land newly rehabilitated within the reporting period to agreed upon end use | Total amount of land rehabilitated to date | Total amount of land disturbed and not yet rehabilitated closing balance | Total land managed |
Sadiola | 2,008 | - 0 | 80 | 432 | 1,928 | 30,260 |
Obuasi | 1,691 | 27 | 33 | 241 | 1,685 | 20,146 |
Iduapriem | 1,536 | 34 | 35 | 266 | 1,535 | 13,922 |
Siguiri | 1,436 | 9 | 34 | 532 | 1,411 | 159,233 |
Geita | 2,724 | 15 | 50 | 703 | 2,689 | 19,627 |
Sunrise Dam | 1,453 | 144 | - 0 | 716 | 1,597 | 15,881 |
Tropicana | 3,108 | 98 | - 0 | 334 | 3,206 | 105,800 |
AGA Brazil (Mineracao) | 487 | 21 | 59 | 535 | 449 | 20,863 |
Serra Grande | 651 | 14 | 4 | 108 | 661 | 2,608 |
Cerro Vanguardia | 1,766 | 68 | - 0 | 45 | 1,833 | 54,000 |
West Wits (Input) | 1,310 | - 0 | 9 | 305 | 1,301 | 3,744 |
Mine Waste Solutions | 3,329 | 11 | - 0 | 16 | 3,340 | 7,182 |
Vaal River (Input) | 4,244 | 2 | - 0 | 1,010 | 4,246 | 8,245 |
Total AGA | 25,743 | 442 | 304 | 5,243 | 25,881 | 461,511 |
Indicator | Value | 2019 | ||||
Number of company operations that have closure plans | 16 | All AngloGold Ashanti-managed operations have a closure plan in place. Details of closure-related liabilities are presented in the annual Integrated Report and financial provisions for closure are given in the Annual Financial Statements. | ||||
Percentage of company operations that have closure plans | 100% | 100% of AngloGold Ashanti operations have a closure plan in place. Details of closure liabilities are given in the Integrated annual report and financial provisions for closure are given in the Annual Financial Statements. | ||||
Rehabilitation liabilities per operation ($ million) | ||||||
2020 | 2019 | |||||
Operation | Restoration | Decommissioning | Total | Total | ||
SOUTH AFRICA | 0 | 0 | 0 | 96.6 | ||
Great Noligwa | 0 | 0 | 0 | 33.4 | ||
TauTona(1) | 0 | 0 | 0 | 20 | ||
Mponeng | 0 | 0 | 0 | 5 | ||
Legacy projects | ||||||
- Vaal River | 0 | 0 | 0 | 3 | ||
- West Wits | 0 | 0 | 0 | 2.8 | ||
- Other | 0 | 0 | 0 | 0.2 | ||
First Uranium SA | 0 | 0 | 0 | 32.2 | ||
AFRICA | 248.1 | 164.4 | 412.5 | 408.7 | ||
Ghana | ||||||
Iduapriem | 36.8 | 17.2 | 54 | 46.3 | ||
Obuasi(2) | 149.6 | 55.3 | 204.9 | 186.3 | ||
Guinea | ||||||
Siguiri | 29.9 | 29.5 | 59.4 | 54.4 | ||
Mali(3) | ||||||
Morila (4) | 0 | 0 | 0 | 6.5 | ||
Sadiola (4) | 0 | 0 | 0 | 24.7 | ||
Yatela | 3.1 | 7.8 | 10.9 | 10.9 | ||
DRC | ||||||
Kibali(3) | 0 | 12.8 | 12.8 | 11.5 | ||
Tanzania | ||||||
Geita | 28.7 | 41.8 | 70.5 | 68.1 | ||
AUSTRALIA | 68.7 | 42.2 | 110.9 | 96.8 | ||
Australia | ||||||
Sunrise Dam | 33.8 | 19.4 | 53.2 | 45.4 | ||
Tropicana | 34.9 | 22.8 | 57.7 | 51.4 | ||
AMERICAS | 126.2 | 33 | 159.2 | 167 | ||
Argentina | ||||||
Cerro Vanguardia | 66.6 | 22 | 88.6 | 77.3 | ||
Brazil | ||||||
AGA Mineração | 38.9 | 7.7 | 46.6 | 62 | ||
Serra Grande | 13.3 | 3.3 | 16.6 | 20.3 | ||
United States of America | ||||||
Other | 0.3 | 0 | 0.3 | 0.4 | ||
Colombia | ||||||
La Colosa | 6 | 0 | 6 | 6.6 | ||
Gramalote(5) | 1.1 | 0 | 1.1 | 0.4 | ||
443 | 239.6 | 682.6 | 769.1 | |||
Less equity accounted investments included above(3) | (3.1) | (20.6) | (23.7) | (54) | ||
Less liabilities held for sale included above(6) | 0 | 0 | 0 | (96.4) | ||
439.9 | 219 | 658.9 | 618.7 | |||
(1) Includes Savuka. | ||||||
(2) Includes Mpasatia (Bibiani pit). | ||||||
(3) The equity-accounted investments includes Yatela and Kibali (2019: includes Mali assets, Kibali and Gramalote). | ||||||
(4) Morila and Sadiola were sold during the year. | ||||||
(5) Gramalote became a Joint Operation during the year. | ||||||
(6) Includes the liabilities held for sale of Mponeng, Great Noligwa, Tau Tona, VR and WW legacy projects and First Uranium. | ||||||
Indicator | Number | 2020 | ||||
Number of sites that have been assessed as requiring a BMP | 16 | AngloGold Ashanti adopted a Biodiversity Management Standard in 2014. It requires all active AGA-managed operations or major projects to undertake biodiversity risk assessments and where necessary, implement a Biodiversity Action Plan. By the end of 2020, not all the AGA-managed operations or major projects had completed the required biodiversity risk assessments. (Note that Activities were suspended at La Colosa due to a Force Majeure). | ||||
Number of sites in need of a BMP that have a BMP in place and operational | 14 | |||||
Total number of IUCN Red List species and national conservation list species | Endangered Category: IUCN: One species of mammal at AGA Mineração (Brazil). National: One species of plant and one species of fish at AGA Mineração Brazil. | |||||
Vulnerable Category: IUCN: Six species of tree at Obuasi; one species of bird and two species of fish at AGA Mineração (Brazil); 2 species of tree, one species of plant and one species of insect at Geita (Tanzania). National: One species of plant in South Africa. Two species of plant, two species of mammal and one species of fish at AGA Mineração (Brazil). | ||||||
Near Threatened Category: IUCN: Two species of mammal at Cerro Vanguardia; two species of bird and two species of mammals at AGA Mineração Brazil; and one species of plant in South Africa. National: Two species of plants in South Africa. | ||||||
Operational sites owned, leased, managed in, or adjacent to, protected areas and areas of high biodiversity value outside protected areas | ||||||
Country and operation | ||||||
Ghana | ||||||
Iduapriem | The Neung North Forest Reserve is located immediately adjacent to the southern boundary of the Iduapriem operational area. Iduapriem mine's concession is 13,922 ha, part of which lies adjacent to the forest reserve. 5.2 ha of the mine's authorized exploration lies within the reserve. | |||||
Tanzania | ||||||
Geita | The operation's special mining license (SML) is 19,627 ha of which 15,100 ha lies within the Geita forest reserve. The Geita forest reserve has undergone significant deforestation mostly from unauthorised activities such as timber and charcoal making and illegal mining activities, which are not related to AngloGold Ashanti operations. | |||||
Americas | ||||||
Brazil | ||||||
AGA Mineração | RPPN AngloGold Cuiaba, a private natural heritage reserve, is owned and managed by AngloGold Ashanti. The area under management of Cuiaba Mine is 3,885 ha, of which the RPPN comprises 726 ha. The RPPN falls in the Atlantic Forest biome and is listed in national legislation. | |||||
RPPN Mata Samuel de Paula, a private natural heritage reserve, is owned and managed by AngloGold Ashanti. The total area under management at Queiroz is 6,449 ha, of which the RPPN comprises 146 ha. The RPPN falls in the Atlantic Forest biome and is listed in national legislation. | ||||||
The Córrego do Sítio mine has an area of 3,039 ha, of which the RPPN comprises 508 ha. It is 1km from the Caraça National Reserve. The reserve falls in the Atlantic Forest biome and is listed in national legislation. | ||||||
Serra Grande | Serra Grande lies within the Cerrado biome. The mines footprint is 2,608 ha, of this area, 271.81 ha are declared protected areas (Legal Reserves) of the Cerrado biome and are adjacent to the mining activities, but within a 5km radius. |
Indicator | 2020 | 2019 | 2018 | 2017 | 2016 |
Payments to government ($ million) | |||||
Argentina | 130.8 | 131.3 | 112.5 | 151.7 | 89.8 |
Dividends paid to the government | 5.9 | 6.9 | 6.3 | 9.0 | 6.1 |
Taxation paid | 30.3 | 45.1 | 29.4 | 70.5 | 15.8 |
Withholding tax (STC, royalties, etc.) | 24.2 | 19.3 | 32.9 | 34.1 | 36.0 |
Other indirect taxes and duties | 2.6 | 2.6 | 2.4 | 4.5 | 2.8 |
Employee taxes and other contributions | 13.4 | 13.1 | 15.9 | 22.8 | 18.5 |
Property tax | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 |
Other | 54.5 | 44.2 | 25.6 | 10.7 | 10.5 |
Australia | 129.2 | 94.7 | 82.5 | 74.0 | 84.1 |
Taxation paid | 68.7 | 40.3 | 36.0 | 27.5 | 41.3 |
Witholding tax (STC, royalties, etc.) | 24.6 | 21.1 | 18.4 | 18.6 | 16.1 |
Employee taxes and other contributions | 35.9 | 33.4 | 28.1 | 27.9 | 26.7 |
Brazil | 138.6 | 109.1 | 107.4 | 126.0 | 129.1 |
Taxation paid | 72.0 | 34.4 | 36.0 | 45.3 | 62.8 |
Withholding tax (STC,royalties, etc.) | 12.1 | 11.6 | 11.4 | 14.4 | 11.4 |
Other indirect taxes and duties | 6.7 | 7.8 | 6.0 | 8.1 | 4.5 |
Employee taxes and other contributions | 34.3 | 42.5 | 42.0 | 48.3 | 40.5 |
Property tax | 1.4 | 2.2 | 1.7 | 2.2 | 2.3 |
Other | 12.2 | 10.5 | 10.1 | 7.7 | 7.6 |
Colombia | 12.3 | 11.1 | 9.7 | 11.8 | 11.8 |
Taxation paid | 0.0 | 0.0 | 0.0 | 0.4 | 1.2 |
Withholding tax (STC,royalties, etc.) | 5.9 | 5.2 | 3.4 | 4.2 | 2.7 |
Other indirect taxes and duties | 0.2 | 0.1 | 0.2 | 0.1 | 0.2 |
Employee taxes and other contributions | 4.8 | 4.5 | 4.0 | 5.1 | 5.8 |
Property tax | 0.3 | 0.3 | 0.3 | 0.2 | 0.2 |
Other | 1.1 | 1.0 | 1.9 | 1.8 | 1.8 |
DRC | 70.6 | 69.8 | 32.5 | 27.8 | 26.1 |
Taxation paid | 0.0 | 12.6 | 0.0 | 5.2 | 3.7 |
Withholding tax (STC,royalties, etc.) | 29.1 | 23.4 | 12.3 | 9.2 | 0.0 |
Other indirect taxes and duties | 17.8 | 12.3 | 9.8 | 5.1 | 4.6 |
Employee taxes and other contributions | 13.1 | 9.9 | 4.7 | 3.8 | 3.5 |
Property tax | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Other | 10.6 | 11.5 | 5.8 | 4.5 | 14.3 |
Ghana | 161.9 | 86.2 | 47.5 | 37.7 | 26.1 |
Dividends paid to the government | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Taxation paid | 97.0 | 45.0 | 21.1 | 13.7 | 3.7 |
Withholding tax (STC,royalties, etc.) | 43.5 | 22.1 | 12.1 | 12.6 | 11.0 |
Other indirect taxes and duties | 3.8 | 4.4 | 3.2 | 2.0 | 1.6 |
Employee taxes and other contributions | 17.3 | 14.7 | 11.0 | 9.3 | 9.7 |
Property tax | 0.3 | 0.1 | 0.1 | 0.1 | 0.1 |
Guinea | 53.0 | 32.7 | 78.3 | 100.2 | 40.5 |
Dividends paid to the government | 5.3 | 2.2 | 8.3 | 9.8 | 9.0 |
Taxation paid | 3.0 | 2.1 | 35.0 | 40.1 | 5.6 |
Withholding tax (STC,royalties, etc.) | 22.7 | 15.1 | 22.0 | 21.6 | 16.5 |
Other indirect taxes and duties | 4.1 | 2.4 | 1.7 | 20.0 | 1.5 |
Employee taxes and other contributions | 10.2 | 10.9 | 11.3 | 8.6 | 7.8 |
Other | 7.7 | 0.1 | 0.1 | 0.1 | 0.1 |
Mali | 25.8 | 19.9 | 25.5 | 24.7 | 33.5 |
Dividends paid to the government | 1.3 | 0.9 | 0.8 | 0.5 | 4.4 |
Taxation paid | 9.7 | 2.9 | 4.0 | 4.1 | 8.2 |
Withholding tax (STC,royalties, etc.) | 5.1 | 6.2 | 7.4 | 7.3 | 7.0 |
Other indirect taxes and duties | 3.7 | 2.9 | 4.6 | 4.4 | 5.1 |
Employee taxes and other contributions | 5.1 | 6.1 | 7.9 | 7.4 | 8.2 |
Property tax | 0.5 | 0.5 | 0.5 | 0.6 | 0.4 |
Other | 0.4 | 0.4 | 0.4 | 0.4 | 0.2 |
South Africa | 63.5 | 79.5 | 91.3 | 118.1 | 106.3 |
Taxation paid | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 |
Withholding tax (STC,royalties, etc.) | 0.4 | 1.8 | 2.0 | 4.8 | 5.2 |
Employee taxes and other contributions | 59.5 | 73.4 | 83.0 | 105.0 | 92.9 |
Property tax | 2.3 | 1.9 | 3.1 | 3.4 | 3.6 |
Other | 1.2 | 2.5 | 3.2 | 4.9 | 4.3 |
Tanzania | 326.1 | 190.0 | 168.1 | 141.0 | 133.3 |
Taxation paid | 154.3 | 82.6 | 56.4 | 51.1 | 54.4 |
Withholding tax (STC,royalties, etc.) | 131.6 | 77.9 | 81.8 | 47.7 | 44.0 |
Other indirect taxes and duties | 3.1 | 3.4 | 5.0 | 15.3 | 12.2 |
Employee taxes and other contributions | 29.4 | 23.1 | 21.2 | 22.1 | 16.9 |
Other | 7.8 | 2.9 | 3.8 | 4.8 | 5.8 |
USA | 4.2 | 5.0 | 4.7 | 7.7 | 6.2 |
Taxation paid | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Withholding tax (STC,royalties, etc.) | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Employee taxes and other contributions | 4.2 | 4.9 | 4.7 | 7.7 | 6.2 |
Total value of political contributions ($ million) | |||||
Colombia | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Financial assistance from government ($ million) | |||||
Argentina | 0.0 | 0.0 | 9.3 | 7.1 | 7.7 |
Cerro Vanguadia | 0.0 | 0.0 | 9.3 | 7.1 | 7.7 |
Australia | 21.0 | 21.1 | 20.1 | 19.8 | 18.8 |
Sunrise Dam (diesel fuel rebate) | 4.5 | 3.4 | 4.5 | 3.9 | 3.2 |
Tropicana (diesel fuel rebate) | 16.5 | 17.8 | 15.6 | 15.9 | 15.6 |
South Africa | 1.6 | 1.6 | 2.1 | 3.4 | 3.5 |
Skills development levy credits | 0.1 | 0.6 | 0.4 | 0.8 | 0.8 |
Mining qualification association discretionery grant | 1.5 | 1.0 | 1.7 | 2.6 | 2.6 |
AngloGold Ashanti Health | |||||
State-aided drugs | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 |
Operations assessed for risk related to corruption (%) | 38 | 77 | 100 | 100 | - |
Number of confirmed incidents in which employees were dismissed or disciplined for corruption | 0 | 1 | 1 | 0 | 7 |
Significant risk related to corruption identified through risk assessment | In 2020, 6 business units were assessed for risks related to bribery and corruption in 2020, including through the use of a desktop virtual assessments as part of our combined assurance audit program. As with any multi-national extractives organization that operates in high-risk jurisdictions, risks were identified related to our suppliers, agents & intermediaries, interactions with government officials, procurement generally, conflicts of interest, COVID-19 related donations, etc. Group Compliance has specific measures to assess, manage and mitigate each of these risks, with a variety of policies, procedures, trainings, messaging, communications, etc. as part of a holistic "best practices" anti-corruption programme. | ||||
Communication and training on anti-corruption policies and procedures | In 2020, AngloGold Ashanti rolled out anti-corruption online training to all employees with computer access. All governance body members were also required to complete this training. Over 5600 employees/governance body members successfully completed the training (which included rigorous assessments). The training covers Anti-Bribery and Anti-Corruption; Payments to Government Officials, Gifts, Hospitality and Sponsorships, Engagement of Agents and Intermediaries, Conflicts of Interest, Reporting Wrongdoing, and Political Donations and Political Activities. In addition, all employees without online access receive annual DVD training (with or without local-language facilitators, as needed) that includes attention to bribery and corruption matters. As well, utilising a risk-based approach, "live" in-person training is also provided, covering not just bribery and corruption but related issues such as conflicts of interest, receiving gifts, interacting with government officials, and procedures for hiring agents and intermediaries. These trainings and communications are in addition to our posters, corporate email communications, compliance intranet portal communications, and SMS communications in certain jurisdictions. In 2020, AngloGold Ashanti developed a Group COVID-19 Donations Guideline to provide guidance and ensure that the donations are made in line with safeguards and risk mitigation measures This Guideline was communicated globally to all General Managers and Senior Finance Managers. | ||||
Confirmed incidents of corruption and action taken | 0 | 4 | 1 | 0 | - |
Through our third-party whistleblowing hotline, AngloGold Ashanti employees and contractors have reported allegations of corruption in the various regions where we operate. In 2019 there were 4 cases of corruption reported in which one employee had their employment contract terminated following an investigation of corruption allegations. The matter was reported to the Prevention and Combating of Corruption Bureau in Tanzania. | |||||
Number of contracts with business partners that were terminated due to violations related to corruption | 0 | 18 | 2 | 4 | - |
Report public legal cases of corruption brought against the organisation or its employees | 0 | 0 | - | - | - |
Monetary value of significant fines | 0 | 0 | 0 | - | - |
AngloGold Ashanti defines a significant fine as one that exceeds USD 100,000. There were no fines received in 2019. | |||||
Total number of non monetary sanctions | 1 | 0 | 0 | 0 | - |
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AngloGold Ashanti Ltd. published this content on 26 March 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 29 March 2021 07:29:02 UTC.