Performance

Limpar filtro
Habitats protected or restored
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
304-3
SDG
Habitats protected or restored (*)
Biome Area whose restoration measures have been approved by external experts or follow external parameters/protocols Total Area (km²)
Yes No
Amazônia 17,09 17,09
Northeastern xerophytic open forest (caatinga)
Savannah (cerrado) 18,79 1,23 20,02
Atlantic Florest 2,33 2,33
Pantanal
Pampa
Other
 

(*) No data has been reported for the years 2019 and 2020.

 
Amount of land (owned or leased, and managed for production activities or extractive use) disturbed or rehabilitated
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
MM1
Amount of land disturbed or rehabilitated (hectares) (*)
2019 2020 2021
Total land disturbed and not yet rehabilitated 2.437,5 2.613,4 2.543,8
Total amount of land newly disturbed within the reporting period 183,4 37,0 13,6
Total de terras reabilitadas durante o período coberto pelo relatório, considerando o uso final acordado 7,5 106,6 13,9
Total land disturbed and not yet rehabilitated 2.613,4 2.543,8 2.543,6
 
Description of environmental management policies and practices for active sites
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Impacts on biodiversity
SASB Code:
EM-MM-160a.1
SDG

Our environmental management system was designed based on the interactive PDCA method (from the acronym Plan, Do, Check, Act) and relies on several programs and tools: well-defined and unfolded objectives and targets, risk management and applicable requirements, dam management, internal and external audits, flash of indicators, and, recently, the environmental front of Nexa Way and the SICLOPE platform to manage actions. Nine Nexa units have an Active Environmental Management Plan.

Percentage of (1) proved and (2) probable reserves in or near sites with protected conservation status or endangered species habitat
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Impacts on biodiversity
SASB Code:
EM-MM-160a.3
SDG
Percentage of (1) proved and (2) probable reserves in or near sites with protected conservation status or endangered species habitat
2021 Nexa has no proven or probable reserves in locations in or within 5 km of protected conservation areas or endangered species habitats.
 

(*) No data has been reported for the years 2019 and 2020.

 
The number and percentage of total sites identified as requiring biodiversity management plans according to stated criteria, and the number (percentage) of those sites with plans in place
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
MM2
Areas with Biodiversity Management Plans (BMP) 
2019 2020 2021
Total number of units 8 8 8
Total number of units that have been identified with the need for a BMP 4 3 3
Number of units that have a BMP in force 2 1 1
Percentage of units that have a BMP in force 50% 33% 33%
 
Mine sites where acid rock drainage is predicted to occur, actively mitigated, or under treatment or remediation
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Impacts on biodiversity
SASB Code:
EM-MM-160a.2
SDG
Status of Acid Rock Drainage at Mine Sites (*)
2021 Porcentagem da produção anual das minas em toneladas métricas dos locais em que a drenagem ácida da rocha está “PREVISTA PARA OCORRER” 19%
Porcentagem da produção anual das minas em toneladas métricas dos locais de mina em que a drenagem ácida da rocha está “ATIVAMENTE MITIGADA” 0%
Porcentagem da produção anual das minas em toneladas métricas dos locais de mina em que a drenagem ácida da rocha está “EM TRATAMENTO OU REMEDIAÇÃO” 34%
 

(*) No data has been reported for the years 2019 and 2020.

 
Recycled input materials
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
301-2
SDG
Recycled Input Materials Used (tons)
2019 2020 2021
Total recycled materials used 85.464 85.291 3.570.052
Total materials used 14.620.971 12.278.909 13.942.345
Percentage of recycled materials used 1% 1% 26%
 
Waste generated
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
306-3
Sector SASB:
Mining and Metals
SASB Dimension:
Waste and Hazardous Materials Management
SASB Code:
EM-MM-150 a.1
SASB Code:
EM-MM-150 a.2
SDG
Volume of Waste (thousand tons) and Recycled Percentage
Hazardous:
2019 2020 2021
Mineral-metallurgical waste (sterile) 8.749,86 6.744,80 9.497,91
Mineral-metallurgical waste that was recycled, reused or remanufactured (sterile) N/A N/A 1.485,70 (16%)
Mineral-metallurgical waste (reject) 10.172,39 9.126,08 9.928,30
Mineral-metallurgical waste that was recycled, reused or remanufactured (tailings) N/A N/A 5.048,40 (51%)
Industrial waste 5,24 5,9 7,58
Non-hazardous:
Mineral-metallurgical waste (sterile) 1.010,03 2.207,74 1.181,16
Mineral-metallurgical waste that was recycled, reused or remanufactured (sterile) N/A N/A 801,36 (68%)
Mineral-metallurgical waste (reject) 1.043,04 1.245,45 1.265,73
Mineral-metallurgical waste that was recycled, reused or remanufactured (tailings) N/A N/A 156,58 (12%)
Industrial waste 104,65 133,52 26,34
 
Total Weight of Waste, by type and disposal method (tons)
2019 2020 2021
Disposal of non-hazardous waste: 104.657,85 133.521,19 26.338,36
Composting 1.405,82 1.399,75 1.864,12
Reuse/recycling 99.218,64 124.615,23 18.456,59**
Recovery
Incineration (or used as fuel) 262,87 777,95
Sanitary landfill 1.934,22 2.092,68 2.435,27
Co-processing/refinement 208,53 169,68 1.511,47
On-site storage 1.530,99 3.904,63 0,01
Industrial landfill 42,05 135,85 575,57
Other 54,73 1.203,37 717,38
Disposal of hazardous waste: 5.240,78 5.899,75 7.582,32
Composting
Reuse/recycling 294 379,1 1.605,84*
Recovery 0,64 0,5 0,32
Incineration (or used as fuel) 0,39 1,3 68,86
Industrial landfill 2.633,63 2.760,06 2.741,41
Co-processing/refinement 1.912,86 2.408,94 2.866,92
On-site storage 259,07 301,56
Destination for specific purposes 2,38 4,13 0,45
Venda – reciclagem parcial 137,56
Other 0,24 44,16 298,53
Total quantities of waste rock, tailings and sludges and their associated risks 109.898,63 139.420,94 33.920,67
Composting 1.405,82 1.399,75 1.864,12
Reuse/recycling 99.512,54 124.994,33 20.062,42
Recovery 0,64 0,5 0,32
Incineration (or used as fuel) 263,26 1,3 846,81
Sanitary landfill 1.934,22 2.092,68 2.435,27
Industrial landfill 2.633,63 2.895,91 3.316,98
Co-processing/refinement 2.121,39 2.578,62 4.378,40
On-site storage 1.790,06 4.206,19 0,01
Destination for specific purposes 2,38 4,13 0,45
Venda – reciclagem parcial 137,56
Other 54,97 1.247,53 1.015,90
 

* Increase in recycling projects in Peru and mobilization of cleanup areas in Vazante (Brazil).

** Reduction of recycled waste due to categorization of Waelz aggregate as a by-product in 2021.

N/A: No data reported for the period

Total amounts of overburden, rock, tailings and sludges and their associated risks
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
MM3
Sector SASB:
Mining and Metals
SASB Dimension:
Waste and Hazardous Materials Management
SASB Code:
EM-MM-150 a.1
SASB Code:
EM-MM-150 a.2
Volume of Waste (thousand tons) and Recycled Percentage
Hazardous:
2019 2020 2021
Mineral-metallurgical waste (sterile) 8.749,86 6.744,80 9.497,91
Mineral-metallurgical waste that was recycled, reused or remanufactured (sterile) N/A N/A 1.485,70 (16%)
Mineral-metallurgical waste (reject) 10.172,39 9.126,08 9.928,30
Mineral-metallurgical waste that was recycled, reused or remanufactured (tailings) N/A N/A 5.048,40 (51%)
Industrial waste 5,24 5,9 7,58
Non-hazardous:
Mineral-metallurgical waste (sterile) 1.010,03 2.207,74 1.181,16
Mineral-metallurgical waste that was recycled, reused or remanufactured (sterile) N/A N/A 801,36 (68%)
Mineral-metallurgical waste (reject) 1.043,04 1.245,45 1.265,73
Mineral-metallurgical waste that was recycled, reused or remanufactured (tailings) N/A N/A 156,58 (12%)
Industrial waste 104,65 133,52 26,34
 

N/A: No data reported for the period

   
Materials used by weight or volume
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
301-1
SDG
Materials used, broken down by weight or volume (tons)
Classification 2019 2020 2021
ROM (Internal supply) Non-renewable 12.984.367 10.656.539 12.216.550
Concentrates (Internal supply) 1.230.367 1.192.832 1.258.656
Other materials (External supply) 88.708 105.528 188.838
Other materials (Internal supply) 317.529 323.010 278.301
Total volume of main materials 14.620.971 12.278.909  13.942.345
 
Total amounts of overburden, rock, tailings and sludges and their associated risks
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
MM3
Sector SASB:
Mining and Metals
SASB Dimension:
Waste and Hazardous Materials Management
SASB Code:
EM-MM-150 a.1
SASB Code:
EM-MM-150 a.2
 
Volume of Waste (thousand tons) and Recycled Percentage
Hazardous:
2019 2020 2021
Mineral-metallurgical waste (sterile) 8.749,86 6.744,80 9.497,91
Mineral-metallurgical waste that was recycled, reused or remanufactured (sterile) N/A N/A 1.485,70 (16%)
Mineral-metallurgical waste (reject) 10.172,39 9.126,08 9.928,30
Mineral-metallurgical waste that was recycled, reused or remanufactured (tailings) N/A N/A 5.048,40 (51%)
Industrial waste 5,24 5,9 7,58
Non-hazardous:
Mineral-metallurgical waste (sterile) 1.010,03 2.207,74 1.181,16
Mineral-metallurgical waste that was recycled, reused or remanufactured (sterile) N/A N/A 801,36 (68%)
Mineral-metallurgical waste (reject) 1.043,04 1.245,45 1.265,73
Mineral-metallurgical waste that was recycled, reused or remanufactured (tailings) N/A N/A 156,58 (12%)
Industrial waste 104,65 133,52 26,34
 

N/A: No data reported for the period

 
Number and percentage of operations with closure plans
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
MM10
Operations with Decommissioning Plans
2019 2020 2021
Total number of operations 13 13 10
Total number of operations with decommissioning plans 13 13 10
Percentage of operations that have decommissioning plans 100% 100% 100%
Value of the total financial provision for closure (US$) 224.620.226,40 265.945.782,44 217.269.515,66
 
Programs for upgrading employee skills and transition assistance programs
Correlated indicators
GRI Dimension:
Social
GRI Code:
404-2
SDG

We transformed skills and reskilling programs to support business strategy in the years ahead, highlighting digital skill sets and providing lifelong learning experiences for individuals and communities.

We have our Learning Management System (LMS), called Conexa, a learning platform that has allowed us to reduce the complexity of our training operation. Through this platform, we offer training in different formats, such as games, films, interaction, TED, content in partnerships with national and international universities.

A continuous and voluntary participation program was developed with various learning strategies: interactive lives, poadcasts, videos and renowned guest speakers who promoted discussions about the future of the job market and the impact on our business.

Worker training on occupational health and safety
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-5
SDG

In addition to complying with regulations, we are concerned with developing a mentality of mutual care and knowledge of the real risks and mitigations within the context of our operations. To provide this learning experience, we use several methodologies for normative training: based on the 6Ds, we use online, face-to-face, hands-on training, Lego Serius Play methodology, VR and VA. In addition to normative training, there are also communication, participation and consultation programs, including:

  • Nexa Safety Day: with the motto Zero Harm, the event promotes a culture in the sense of not generating damages, injuries, losses and impacts on the lives of employees.
  • Sipat & Sipatmin: a Semana Interna de Prevenção de Acidentes de Trabalho promoveu diversas atividades, webinars e eventos voltados à conscientização de colaboradores próprios e prestadores de serviços sobre a prevenção de acidentes e doenças ocupacionais, estendendo o foco de atenção às famílias
  • ORW (Observation of Risks at Work): this safe behavior program seeks to identify and control the risks of activities in the present, so that it is possible to reduce undesirable consequences in the future. The ORT tool is used to assess safe behaviors during the execution of activities, improving the practice of safe behavior.
  If you would like to learn more about our occupational health and safety management system, please visit Health, Safety and Well-being.
Employee training on human rights policies or procedures
Correlated indicators
GRI Dimension:
Social
GRI Code:
412-2
SDG
 
Employee Training on Human Rights Policies or Procedures
2019 2020 2021
Number of employees who received training on the theme 1.186 1.771 1.915
Number of employees who received training on the theme 20% 32% 32%
Workload dedicated to human rights training 3.596 2.781 2.058
   
Communication and training about anti-corruption policies and procedures
Correlated indicators
GRI Dimension:
Social
GRI Code:
205-2
SDG
 
Total Employees who have been Informed about Anti-Corruption Policies
2019 2020 2021
BRAZIL
Director/President 8 7 7
Manager 107 107 121
Coordinator/Consultant 445 424 476
Technician/Analyst/Supervisor 597 639 776
Operational 688
Intern 105 126
Apprentice
Total 1.845 1.282 1.506
PERU
Director/President 2 2 2
Manager 42 40 42
Coordinator/Consultant 190 167 200
Technician/Analyst/Supervisor 572 520 563
Operational 490
Intern 78 105
Apprentice
Total 1.296 807 912
 
Average hours of training per year per employee
Correlated indicators
GRI Dimension:
Social
GRI Code:
404-1
SDG
 
Average Training Hours per Year, per Employee
Categoria funcional Gênero 2019 2020 2021
Director/President Female 3
Male 1 11
Manager Female 14 10 24
Male 13 6 25
Coordinator/Consultant Female 5 6 31
Male 8 7 44
Technician/Analyst/Supervisor Female 23 19 18
Male 27 28 31
Operational Female 33 16 27
Male 30 18 29
Intern Female 15 6 13
Male 14 5 15
Apprentice Female 4 4
Male 7 3
Total Female 20 13 20
Male 26 18 30
 
Percentage of employees receiving regular performance and career development reviews
Correlated indicators
GRI Dimension:
Social
GRI Code:
404-3
SDG
 
Percentage of employees receiving regular performance and career development reviews (*)
Performance Evaluation 2021
Male 27%
Female 73%
Generation Y 45%
Leadership positions 13%
Total 1504
 

(*) Data has not been reported for 2019 and 2020.

Health, safety and emergency response training
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Workforce health and safety
SASB Code:
EM-MM-320a.1
SDG
 
Units Average Training Hour
2020 2021
Cajamarquilla N/A 29,43
Juiz de Fora N/A 24,01
Três Marias N/A 31,00
Aripuanã N/A 48,84
Atacocha/El Porvenir N/A 17,07
Cerro Lindo N/A 7,31
Morro Agudo N/A 27,32
Vazante N/A 30,73
 

Amounts reported by employees

N/A: Data not reported for the period

 
Energy consumption within the organization
Correlated indicators
GRI Dimension:
Environmental 
GRI Code:
302-1
Sector SASB:
Mining and Metals
SASB Dimension:
Energy Management
SASB Code:
EM-MM-510a.1
SDG
 
Year Energy Consumption within the Organization (scope 1 and 2) - GJ   % Renewable Sources
2019 15.157.046,86 82,66%
2020 15.836.223,23 81,90%
2021 16.145.844,23 81,22%
Energy consumption outside of the organization
Correlated indicators
GRI Dimension:
Environmental 
GRI Code:
302-2
Sector SASB:
Mining and Metals
SASB Dimension:
Energy Management
SASB Code:
EM-MM-510a.1
SDG
 
Year Energy Consumption outside the Organization (scope 3) - GJ   % Renewable Sources
2019 651.168,16 0,25%
2020 2.038.201,47 3,48%
2021 746.340,21 5,81%
 
Energy intensity
Correlated indicators
GRI Dimension:
Environmental 
GRI Code:
302-3
Sector SASB:
Mining and Metals
SASB Dimension:
Energy Management
SASB Code:
EM-MM-510a.1
SDG
 
Year Energy Intensity - GJ/ton of Zinc and Zinc Oxide Sold
2019 14,75
2020 30,54
2021 27,3
 
Direct (Scope 1) GHG emissions
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
305-1
Sector SASB:
Mining and Metals
SASB Dimension:
Greenhouse Gas Emissions
SASB Code:
EM-MM-110 a.1
TCFD Code:
MMb
SDG
Direct greenhouse gas (GHG) emissions (scope 1) (tons CO2 equivalent (tCO2e))
2019¹ 2020² 2021³
CO2 142.159,034 237.892,010 225.936,493
CH4 42.806,125 3.380,600 5.011,496
N2O 210,970 11.141,922 9.518,270
HFC 0,000 234,531 6.752,381
Total 185.176,130 252.649,062 247.218,640 
 
Direct Greenhouse Gas (GHG) Emissions (scope 1) (tons of gas)
2019¹ 2020² 2021³
CO2 143.024,364 237.892,010 225.936,493
CH4 2.038,387 135,244 178,982
N2O 0,708 37,389 35,918
HFC 0,000 0,106 2,053
 

¹ Operational Limits considered: Mobile combustion; Stationary combustion; Solid waste and liquid effluents

² Operational Limits Considered: Mobile combustion; Stationary combustion; Fugitive; Industrial processes; Agricultural activities; Solid waste and liquid effluents

³ Operational Limits considered: Mobile combustion; Stationary combustion; Fugitives; Industrial processes; Agricultural activities; Solid waste and liquid effluents, Land use change

 
Energy indirect (Scope 2) GHG emissions
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
305-2
TCFD Code:
MMb
SDG
Indirect Greenhouse Gas (GHG) Emissions from Energy Procurement (tons of CO2 equivalent (tCO2e))
2019¹ 2020² 2021³
CO2 114.853,316 434.465,936 555.516,928
CH4 0,000 0,000 --
N2O 0,000 0,000 --
HFC 0,000 0,000 --
Total 114.853,316 -- --
 
Indirect Greenhouse Gas (GHG) Emissions from the acquisition of Energy (tons of gas)
2019¹ 2020² 2021³
CO2 114.853,316 434.465,936  555.516,928
CH4 0,000 0,000 --
N2O 0,000 0,000 --
HFC 0,000 0,000 --
 

¹ Indirect emissions from purchase of electricity - location approach

² Electricity purchase - location approach

3 Electricity purchase - location approach

 
Discussion of long-term and short-term strategy or plan to manage Scope 1 emissions
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Greenhouse Gas Emissions
SASB Code:
EM-MM-110a.2
SDG

Decarbonization Plan

Para seguir na estratégia de neutralização de carbono, elaboramos um plano de descarbonização com a projeção de emissões e projetos de redução até 2030. Contamos com o apoio de uma consultoria que realizou uma análise das emissões atuais, desenhou cenários de descarbonização, auxiliou na definição de metas e na avaliação econômica de alternativas de descarbonização. Verificou-se que o maior foco de redução são as emissões de escopo 1, referentees aos combustíveis de origens fósseis, que representaram 73% do escopo 1 em 2020. Já para o escopo 3, que passou a contar com avaliação de cinco categorias a partir de 2020, a melhor oportunidade foi estabelecer uma meta para os fornecedores da logística. Até o momento, foram mapeadas 11 oportunidades de projetos de descarbonização, dentre elas, a compra de energia renovável comprovada no Peru.

Other indirect (Scope 3) GHG emissions
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
305-3
TCFD Code:
MMb
SDG
 
Other Indirect Greenhouse Gas (GHG) Emissions (scope 3) (tons CO2 equivalent (tCO2e))
2019¹ 2020² 2021³
CO2 123.529,008 84.653,399 46.699,61
CH4 0,000 811,600 429,8
N2O 0,000 811,156 441,225
HFC 0,000 0,000
Total 123.529,008
 
Other Indirect Greenhouse Gas (GHG) Emissions (scope 3) (tons of gas)
2019¹ 2020² 2021³
CO2 123.529,008 84.653,399 46.699,61
CH4 0,000 32,464 15,35
N2O 0,000 2,733 1,665
HFC 0,000 0,000
 

¹ Operating Limits Considered: Transport and Distribution (upstream)

² Operational Limits Considered: Transport and distribution (upstream), Waste generated in operations, Effluents generated, Business travel, Employee displacement (home-work), Transport and distribution (downstream)

³ Operational Limits: Transport and distribution (upstream), Waste generated in the operations, Business travel, Employee displacement (home-work), Transport and distribution (downstream)

 
GHG emissions intensity
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
305-4
TCFD Code:
MMb
SDG
 
GHG Emissions Intensity
2019 N/A
2020 1.32 tCO2e per ton of zinc and zinc oxide sold
2021 N/A
 

N/A: no data reported for the period.

Nitrogen oxides (NOX), sulfur oxides (SOX), and other significant air emissions
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
305-7
Sector SASB:
Mining and Metals
SASB Dimension:
Air Quality
SASB Code:
EM-MM-120 a.1
 
Volume of significant air emissions (tons) 
2019 2020 2021
NOx 250  162 289
SOx 518 666 773
Carbon Monoxide (CO) N/A* N/A* 844
Lead (Pb) N/A* N/A*
Mercury (Hg) N/A* N/A*
Volatile Organic Compounds (VOC)
Particulate Matter (PM) 1.150 759 952
Other standard categories of air emissions identified in regulations 81 74
 

(*): data not collected for CO in 2019 and 2020 and not applicable for the operation for Pb and Hg.

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Direct economic value generated and distributed
Correlated indicators
GRI Dimension:
Economic
GRI CODE:
201-1
SDG
Direct Economic Value Generated
2019 2020 2021
1) Revenues
1.1) Products and Services Sales 2.548.856,00 2.135.643,00 2.969.421,00
1.2) Other Operating Revenue (Expenses) -857 -2.268,00 -4.891,00
1.3) Provision for Doubtful Receivables 353 -842 -286
1.4) Total Revenue 2.548.352,00 2.132.533,00 2.964.244,00
2) Inputs acquired from third parties
2.1) Raw materials and other production inputs -1.063.094,00 -856.300,00 -1.189.728,00
2.2) Materials, energy, third party services and others -599.000,00 -430.867,00 -447.305,93
2.3) Impairment of Fixed Assets -142.133,00 -557.497,00
3) Gross added value 744.125,00 287.869,00 1.327.210,07
3.1) Depreciation, amortization and depletion -317.892,00 -243.925,00 -258.711,00
4) Net added value produced 426.233,00 43.944,00 1.068.499,07
5) Added Value received in Transfer
5.1) Equity Accounting
5.2) Realization of the other comprehensive income on the write-off of the investment
5.3) Financial Revenues 204.201,00 587.654,00 477.849,51
Total Added Value received in Transfer 204.201,00 587.654,00 477.849,51
6) Total Added Value to be distributed 630.434,00 631.598,00 1.546.348,58
7) Distribution of Added Value
7.1) Personnel and charges 254.251,00 213.865,00 223.115,00
7.1.1) Direct remuneration 151.610,00 123.537,00 145.915,96
7.1.2) Social Charges 35.483,00 43.859,00 23.181,64
7.1.3) Benefits 67.158,00 46.469,00 54.017,40
7.2) Taxes, Duties and Contributions 185.503,00 169.478,00 513.793,41
7.2.1) Federal 215.694,00 210.982,00 348.368,00
7.2.2) State 74.070,00 45.785,00 134.275,00
7.2.2) State 485 55 27,41
7.2.4) Deferred Taxes -104.746,00 -87.344,00 31.123,00
7.3) Return on Third Party Capital 348.196,00 900.761,00 653.353,17
7.3.1) Financial Expenses 309.055,00 865.829,00 614.751,51
7.3.1) Financial Expenses 39.141,00 34.932,00 38.601,66
7.4) Return on Equity -157.516,00 -652.506,00 156.087,00
7.4.1) Net profit (loss) for the year -157.516,00 -652.506,00 156.087,00
8) Added Value distributed 630.434,00 631.598,00 1.546.348,58
 
Ratios of standard entry level wage by gender compared to local minimum wage
Correlated indicators
GRI Dimension:
Economic
GRI Code:
202-1
SDG
 

Ratios of standard entry level wage by gender compared to local minimum wage

2019 No employee was identified with a salary below the local minimum wage
2020 No employee was identified with a salary below the local minimum wage
2021 No employee was identified with a salary below the local minimum wage
   
Confirmed incidents of corruption and actions taken
Correlated indicators
GRI Dimension:
Economic
GRI Code:
205-3
SDG
Confirmed Cases of Corruption
2019 none
2020 none
2021 none
 

(*) Note: No cases were identified in which Nexa or its employees have been involved in judicial enquiries and/or criminal proceedings for possible involvement in corruption cases related to Nexa

 
Legal actions for anti-competitive behavior, anti-trust, and monopoly practices
Correlated indicators
GRI Dimension:
Economic
GRI Code:
206-1
SDG
Lawsuits for Unfair Competition, Trust and Monopoly Practices
2019 none
2020 none
2021 none
 

(*) Note: No cases were identified in which Nexa or its employees have been involved in judicial enquiries and/or criminal proceedings for possible involvement in corruption cases related to Nexa

 
Description of the management system for prevention of corruption and bribery throughout the value chain
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Business Ethics and Transparency
SASB Code:
EM-MM-510 a.1
SDG
In addition to Nexa’s Code of Conduct, other documents were updated throughout the year, such as the Antitrust, Prevention of Money Laundering and Terrorist Financing, ESTMA, Anti-Corruption, Donations, Government Relations, Gifts and Hospitality policies, as well as Sponsorships, Books and Records, Conflict of Interest, Training and Communication, and Compliance Definitions.
Production of metal ores and finished metal products
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Activity Metrics
SASB Code:
EM-MM-000.A
Production of Metal Ores and Finished Metal Products
Zinc (mil t)
2019 2020 2021
Vazante 139 148 140,5
Morro Agudo 24,4 25,2 17,3
Cerro Lindo 126,3 95,4 102,3
Atacocha 16,7 9,6 8,5
El Porvenir 54,7 34,9 51,4
TOTAL 361,1 313,1 319,9
 
Production of Metal Ores and Finished Metal Products
Copper (mil t)
2019 2020 2021
Vazante
Morro Agudo
Cerro Lindo 37,7 27,8 29,1
Atacocha
El Porvenir 0,5 0,3 0,5
TOTAL 38,2 28,2 29,6
 
Production of Metal Ores and Finished Metal Products
Lead (mil t)
2019 2020 2021
Vazante 1 1,3 1,6
Morro Agudo 4,7 4 4,7
Cerro Lindo 12,3 11,6 12,8
Atacocha 16,5 10,2 8,7
El Porvenir 16,9 10,9 17,7
TOTAL 51,3 38 45,6
 
Production of Metal Ores and Finished Metal Products
Silver (thousand ounces)
2019 2020 2021
Vazante 333,1 383,5 500,2
Morro Agudo 22,6 3,5
Cerro Lindo 3250,5 2939,0 3813,7
Atacocha 1882,1 1184,7 1026,7
El Porvenir 3412,7 2315,2 3467,2
TOTAL 8901,0 6825,9 8808,3
 
Production of Metal Ores and Finished Metal Products
Gold (thousand ounces)
2019 2020 2021
Vazante
Morro Agudo
Cerro Lindo 4,5 4 4,8
Atacocha 9,3 6,3 11,9
El Porvenir 11,2 5,9 8,7
TOTAL 25 16,2 25,5
External initiatives
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-12

We voluntarily adhere to various initiatives undertaken with national and international entities to reinforce our commitment to sustainability:

    • Global Compact
    • Sustainable Development Goals (SDGs)
    • Carbon Disclosure Project (CDP)
    • Business and LGBTI+ Rights Forum
    • Women In Mining (WIM Brazil and Peru)
    • WOB Seal

For more information, access: Strategy

List of stakeholder groups
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-40
SDG
 
Memberships of associations
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-13

Sector Associations:

  • Instituto Brasileiro de Mineração (Ibram) – Brazil;
  • Federação das Indústrias do Estado de Minas Gerais (Fiemg) – Brazil;
  • Federação das Indústrias do Estado de Minas Gerais (Fiemg) – Brazil;
  • Sociedad de Minería do Peru – Peru;
  • Sindicato das Indústrias Extrativas de Minas Gerais (Sindiextra) – Brazil;
  • Instituto de Metais Não Ferrosos (ICZ) – Brazil;
  • Women in Mining (WIM) – Brazil and Peru;
  • Sociedad Nacional de Minería, Petróleo y Energía (SNMPE) – Peru;
  • Comitê Setorial Mineiro.
List of material topics
Correlated indicators
GRI Dimension:
Economic
GRI Code:
102-47

List of Material Topics 2021:

  • Ethics and Compliance
  • Operational Excellence
  • Water resources management
  • Dam Management
  • Waste & Wastewater Management
  • Social Management
  • Decommissioning
  • Climate change
  • Plurality
  • Reputation
  • Health, safety and well-being
  • Innovation
Mechanisms for advice and concerns about ethics
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-17
SDG

In order to maintain adequate communication channels to report misconduct, we have the Ethics Line. Created to be impartial and transparent, this channel is prepared to receive from the internal and external public reports of possible violations of the Code of Conduct or of any policy, procedure, law or regulation.

The Ethics Line is committed to ensuring the confidentiality of the information, safeguarding the identity of any person who accesses it, and promoting the best working environment for everyone. Through it, it is possible to report, totally anonymously, any suspicion of financial crime, fraud, corruption, discrimination, harassment, or other types of ethical violations.

The Ethics Line service is available in Portuguese, English, and Spanish, and can be accessed through the Site or by telephone:

  • Brazil: 0800-892-0741 (Portuguese);
  • Peru: 0800-50-000 (Spanish) and 0800-50-288;
  • United States: 1-855-888-9926;
  • Canadá: 1-855-888-9926 e 1-855-350-9393;
  • Luxemburgo: 800-201-11 (English and French)
Communication and training about anti-corruption policies and procedures
Correlated indicators
GRI Dimension:
Social
GRI Code:
205-2
SDG
Total Employees who have been Informed about Anti-Corruption Policies
2019 2020 2021
BRAZIL
Director/President 8 7 7
Manager 107 107 121
Coordinator/Consultant 445 424 476
Technician/Analyst/Supervisor 597 639 776
Operational 688
Intern 105 126
Apprentice
Total 1.845 1.282 1.506
PERU
Director/President 2 2 2
Manager 42 40 42
Coordinator/Consultant 190 167 200
Technician/Analyst/Supervisor 572 520 563
Operational 490
Intern 78 105
Apprentice
Total 1.296 807 912
Governance structure
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-18
SDG
 
Non-compliance with environmental laws and regulations
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
307-1
Sector SASB:
Mining and Metals
SASB Dimension:
Water Management
SASB Code:
EM-MM-140 a.2
SDG
Environmental Non-Compliance¹
Period 2019 2020 2021
Total number of sanctions 14 23 31
Total monetary value of significant fines (US$) 664.349,60 5.169.602,80 23.363.818,40
Lawsuits filed through arbitration mechanisms
Casos relacionados a recursos hídricos em que a empresa tenha sido notificada e/ou autuada N/A N/A
 

¹ Considers fines and sanctions received and amounts paid, including both lawsuits filed and administrative proceedings. The indicator shows an increase in sanctions received in recent years, due to stricter criteria by Peruvian environmental authorities.

N/A: Data not collected for the period or not applicable for the operation.

 
Entities included in the consolidated financial statements
Correlated indicators
GRI Dimension:
Economic
GRI Code:
102-45
Entities included in the consolidated financial statements
2019 2020 2021
Subsidiaries
L.D.O.S.P.E. Geração de Energia e Participações Ltda. – “L.D.O.S.P.E” L.D.O.S.P.E. Geração de Energia e Participações Ltda. – “L.D.O.S.P.E” L.D.O.S.P.E. Geração de Energia e Participações Ltda. – “L.D.O.S.P.E”
L.D.Q.S.P.E. Geração de Energia e Participações Ltda. – “L.D.Q.S.P.E” L.D.Q.S.P.E. Geração de Energia e Participações Ltda. – “L.D.Q.S.P.E” L.D.Q.S.P.E. Geração de Energia e Participações Ltda. – “L.D.Q.S.P.E”
L.D.R.S.P.E. Geração de Energia e Participações Ltda. – “L.D.R.S.P.E” L.D.R.S.P.E. Geração de Energia e Participações Ltda. – “L.D.R.S.P.E” L.D.R.S.P.E. Geração de Energia e Participações Ltda. – “L.D.R.S.P.E”
Mineração Dardanelos Ltda. Mineração Dardanelos Ltda. Mineração Dardanelos Ltda. – “Dardanelos”
Nexa Recursos Minerais S.A. Nexa Recursos Minerais S.A. – “NEXA BR” Nexa Recursos Minerais S.A. – “NEXA BR”
Mineração Santa Maria Ltda. Mineração Santa Maria Ltda. Mineração Santa Maria Ltda.
Pollarix S.A. (i) Pollarix S.A. 9 Pollarix S.A. – “Pollarix” 10
Karmin Holding Ltda. Karmin Holding Ltda. Karmin Holding Ltda.
Mineração Rio Aripuaña Ltda. Mineração Rio Aripuanã Ltda. Mineração Rio Aripuanã Ltda.
Votorantim Metals Canada Inc. Votorantim Metals Canada Inc. Votorantim Metals Canada Inc.
Rayrock Antofagasta S.A.C Nexa Resources El Porvenir S.A.C. Nexa Resources El Porvenir S.A.C.
Cia. Magistral S.A.C Minera Pampa de Cobre S.A.C Minera Pampa de Cobre S.A.C
Nexa Resources El Porvenir S.A.C. Nexa Resources Cajamarquilla S.A. – “NEXA CJM” Nexa Resources Cajamarquilla S.A. – “NEXA CJM”
Minera Pampa de Cobre S.A.C Nexa Resources Perú S.A.A. – “NEXA PERU” Nexa Resources Perú S.A.A. – “NEXA PERU”
Nexa Resources Cajamarquilla S.A. – “NEXA CJM” Nexa Resources Atacocha S.A.A. – “NEXA ATACOCHA” Nexa Resources Atacocha S.A.A. – “NEXA ATACOCHA”
Inversiones Garza Azul S.A.C Nexa Resources UK Ltd. – “NEXA UK” Nexa Resources UK Ltd. – “NEXA UK”
Nexa Resources Perú S.A.A. – “NEXA PERU” Nexa US. Inc. Nexa Resources US. Inc.
Nexa Resources Atacocha S.A.A. – “NEXA ATACOCHA” Exploraciones Chimborazo Metals & Mining
Minera Bongará S.A.
Nexa Resources UK Ltd. “NEXA UK”
Votorantim US. Inc.
Joint-operation
Campos Novos Energia S.A. Campos Novos Energia S.A. – “Enercan” Campos Novos Energia S.A. – “Enercan”
Cia. Minera Shalipayco S.A.C Cia. Minera Shalipayco S.A.C Cia. Minera Shalipayco S.A.C
Non-compliance with laws and regulations in the social and economic area
Correlated indicators
GRI Dimension:
Social
GRI Code:
419-1
SDG

Non-compliance with laws and regulations in the social and economic area (*)

2019 2020 2021
Total value of significant fines for non-compliance with laws and regulations, including products and services (US$) 161.382.266,96 34.083.072,76 1.766.809,98
Number of non-monetary sanctions
Lawsuits filed through arbitration mechanisms
 

(*) Fines and sanctions received and amounts paid were considered, including both lawsuits filed and administrative proceedings.

 
Hazard identification, risk assessment and incident investigation
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-2
SDG

Having standardized processes, performing performance evaluation, developing continuous improvement and promoting a culture in health and safety are fundamental objectives of our operations. For this, Nexa has an important tool: the OHS Management System, which was improved in 2021.

Based on three pillars of constant evolution (planning, implementation and control, monitoring and learning), the OHS Management System aims to clarify the responsibilities and authorities, as well as expectations to be achieved, provide data and information, monitor indicators and carry out audits.

If you would like to learn more about our occupational health and safety management system, please visit Health, Safety and Well-being.

Occupational health services
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-3
SDG

Among Nexa's occupational health services, the communication, participation and consultation programs stood out, including:

  • Nexa Safety Day: with the motto Zero Harm, the event promotes a culture in the sense of not generating damages, injuries, losses and impacts on the lives of employees.
  • Sipat & Sipatmin: the Internal Week for the Prevention of Occupational Accidents promoted several activities, webinars and events aimed at raising the awareness of own employees and service providers about the prevention of accidents and occupational diseases, extending the focus of attention to families.
  • ORW (Observation of Risks at Work): this safe behavior program seeks to identify and control the risks of activities in the present, so that it is possible to reduce undesirable consequences in the future. The ORT tool is used to assess safe behaviors during the execution of activities, improving the practice of safe behavior.
If you would like to learn more about our occupational health and safety management system, please visit Health, Safety and Well-being.  
Worker training on occupational health and safety
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-5
SDG

In addition to complying with regulations, we are concerned with developing a mentality of mutual care and knowledge of the real risks and mitigations within the context of our operations. To provide this learning experience, we use several methodologies for normative training: based on the 6Ds, we use online, face-to-face, hands-on training, Lego Serius Play methodology, VR and VA. In addition to normative training, there are also communication, participation and consultation programs, including:

  • Nexa Safety Day: with the motto Zero Harm, the event promotes a culture in the sense of not generating damages, injuries, losses and impacts on the lives of employees.
  • Sipat & Sipatmin: the Internal Week for the Prevention of Occupational Accidents promoted several activities, webinars and events aimed at raising the awareness of own employees and service providers about the prevention of accidents and occupational diseases, extending the focus of attention to families.
  • ORW (Observation of Risks at Work): this safe behavior program seeks to identify and control the risks of activities in the present, so that it is possible to reduce undesirable consequences in the future. The ORT tool is used to assess safe behaviors during the execution of activities, improving the practice of safe behavior.
  If you would like to learn more about our occupational health and safety management system, please visit Health, Safety and Well-being.
Promotion of worker health
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-6
SDG

In relation to the company's internal image, the communication, participation and consultation programs stood out, including:

  • Go Nexa: this three-month event allows employees and their families to carry out healthy eating and physical activity missions through an app, improving their health and quality of life.
  • Enfrente Program: focused on the treatment of alcohol abuse and other drugs, the programme offers support to employees and their families through information, guidance on how to seek help and treatment.
If you would like to learn more about our occupational health and safety management system, please visit Health, Safety and Well-being.  
Prevention and mitigation of occupational health and safety impacts directly linked to business relationships
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-7
SDG

Among the main advances of the plan in the period is the development of a structured program to support a process of learning and transformation of culture and behavior in Health and Safety. Main initiative of the Master Plan, as it is connected to all other goals, this transformation is based mainly on the adoption of the Global – Mining Industry Risk Management (G-MIRM).

G-MIRM aims to promote significant and lasting changes related to decision making within the company and improvement of risk management. In 2021, we completed the formatting and organization of teaching material for workshops, in addition to providing training on the Security Risk Management Process (PGRS) for senior management professionals.

If you would like to learn more about our occupational health and safety management system, please visit Health, Safety and Well-being.

Work-related injuries
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-9
Sector SASB:
Mining and Metals
SASB Dimension:
Workforce health and safety
SASB Code:
EM-MM-320a.1 
SDG
Work-related injuries
2019 2020 2021
Man-Hours Worked (own, fixed, mobile and CAPEX projects) 51.705.071,01 37.988.386,06 49.087.485,88
Total number of injuries (level 1) 161 125 162
Total number of injuries without leave (Levels 2 and 3) 72 61 65
Total number of injuries with leave (Levels 4, 5 and 6) 39 30 30
Deaths 1
Injury rates (TL)* 0,44 0,48 0,44
Accident frequency rate with and without lost time** 2,15 2,40 1,94
Accident frequency rate with leave*** 0,75 0,79 0,61
Near-accident rate of own employees N/A N/A 1,98
Near miss rate of fixed outsourced employees N/A N/A 0,56
Mobile third-party employee near miss rate N/A N/A 0,29
 

* Calculation of the injury rate does not include level 1 accidents (outpatient care) and level 6. The sum of accidents involving own employees, fixed third parties, mobile third parties and Capex projects is multiplied by 200 thousand and divided by the total hours worked.

** Accident rate with and without lost time, calculated on the basis of the sum of level 2 to 5 accidents involving our own employees, fixed third parties, mobile third parties and third-party mobile and third-party Capex projects, multiplied by 1 million and divided by total hours worked.

*** Lost time accident rate calculated based on the sum of level 4 and 5 accidents of own employees, fixed third parties, mobile third parties and Capex projects third parties, multiplied by 1 million and divided by the total hours worked.

Work-related ill health
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-10
Work-related ill health
2019  (N/A)
2020 There were no work-related health problems
2021  (N/A)
 

N/A: Data not reported for the period

Health, safety and emergency response training
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Workforce health and safety
SASB Code:
EM-MM-320a.1
SDG
 
Units Average Training Hour
2020 2021
Cajamarquilla N/A 29,43
Juiz de Fora N/A 24,01
Três Marias N/A 31,00
Aripuanã N/A 48,84
Atacocha/El Porvenir N/A 17,07
Cerro Lindo N/A 7,31
Morro Agudo N/A 27,32
Vazante N/A 30,73
 

Amounts reported by employees

N/A: Data not reported for the period

 
Sistema de gestión de la salud y la seguridad en el trabajo
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-1
SDG

Having standardized processes, performing performance evaluation, developing continuous improvement and promoting a culture in health and safety are fundamental objectives of our operations. For this, Nexa has an important tool: the OHS Management System, which was improved in 2021.

Based on three pillars of constant evolution (planning, implementation and control, monitoring and learning), the OHS Management System aims to clarify the responsibilities and authorities, as well as expectations to be achieved, provide data and information, monitor indicators and carry out audits.

If you would like to learn more about our occupational health and safety management system, please visit Health, Safety and Well-being

Workers covered by an occupational health and safety management system
Correlated indicators
GRI Dimension:
Social
GRI Code:
403-8
SDG
Ter processos padronizados, realizar avaliação de performance, desenvolver a melhoria contínua e impulsionar a cultura em saúde e segurança são objetivos fundamentais das nossas operações. Para isso, a Nexa conta com uma importante ferramenta: o Sistema de Gestão de SSO, que foi aprimorado em 2021. Reitera-se que todos os trabalhadores que exercem trabalho na Nexa, próprios ou terceiros, estão cobertos pelo Sistema de Gestão de Saúde e Segurança do Trabalho durante a execução de suas atividades.
Employee training on human rights policies or procedures
Correlated indicators
GRI Dimension:
Social
GRI Code:
412-2
SDG
 
Employee Training on Human Rights Policies or Procedures 
2019 2020 2021
Health, Safety and Well-being 1.186 1.771 1.915
Percentage of employees trained in the subject 20% 32% 32%
Workload dedicated to human rights training 3.596 2.781 2.058
Sites where resettlements took place, the number of households resettled in each, and how their livelihoods were affected in the process
Correlated indicators
GRI Dimension:
Social
GRI Code:
MM9
Places where resettlements took place
2019 none
2020 none
2021 none
Proportion of spending on local suppliers
Correlated indicators
GRI Dimension:
Economic
GRI Code:
204-1
SDG
Proportion of spending on local suppliers
2019 2020 2021
Humanized management 1.957,11 1054,23 2.194,40
% of spending with local suppliers¹ 3,1% 2,7% 3,8%
 

¹ Person or organization that provides a product or service to the reporting organization and is geographically based in the same market as the reporting organization (i.e. no transnational payment to the supplier is made). The geographic definition of "local" can include the community surrounding the operations, the region within a country, or a country. According to VID's Local Supplier Development Policy, local suppliers are defined as those located within the area of influence of Votorantim Industrial's operations, using local labor, collecting taxes and generating jobs in the region.

 
Operations with local community engagement, impact assessments, and development programs
Correlated indicators
GRI Dimension:
Social
GRI Code:
413-1
SDG
Operations with local community engagement, impact assessments, and development programs
2019 2020 2021
Total investment in social actions US$ 14,5 milhões US$ 8,8 milhões US$ 11,9 milhões
Total projects and initiatives 145 projects in 17 locations in Brazil and Peru, benefiting more than 44,000 people 132 projects in 17 locations in Brazil and Peru, benefiting more than 20,000 people 320 projects in 116 locations in Brazil and Peru
 
Ratio of basic salary and remuneration of women to men
Correlated indicators
GRI Dimension:
Social
GRI Code:
405-2
SDG
Ratio of basic salary and remuneration of women to men
Position 2019 2020 2021
Salary Remuneration Salary Remuneration Salary Remuneration
Director/President N/A N/A N/A N/A N/A N/A
Manager 1,02 0,98 1,04 1,04 0,99 0,99
Coordinator/Consultant 1,14 1,11 1,13 1,13 1,12 1,11
Technician/Analyst/Supervisor 1,06 1,01 0,96 0,98 0,95 0,97
Operational 1,51 1,51 1,68 1,68 1,55 1,55
Intern 0,99 0,99 0,99 0,99 1,04 1,04
Apprentice 0,99 0,99 0,97 0,97 1,02 1,02
 

N/A: Data not reported for the period

 
Incidents of discrimination and corrective actions taken
Correlated indicators
GRI Dimension:
Social
GRI Code:
406-1
SDG
Incidents of discrimination and corrective actions taken
2019 2020 2021*
Received in the year under review 11 8 9
Analyzed and considered valid 43 14 28
Analyzed and considered unfounded 104 37 54
Total analyzed or under analysis 158 59 91
 

(*) Of the 28 cases considered valid, 13 were related to harassment and/or abuse of power and 15 to persecution, disrespect and discrimination. Corrective measures were taken in all cases, such as: dismissals, verbal warnings, suspensions and/or transfers.

Nota-se entre 2020 e 2021, um aumento no número de casos de discriminação reportados. Tal aumento deve-se ao retorno das atividades presenciais, com o fim das restrições decorrentes da pandemia. No ano de 2020, a  força de trabalho administrativa exerceu suas atividades em regime de homeoffice, o que culminou com o declínio no número de casos reportados de assédio. Já em 2021, com a retomada das atividades nos escritórios da companhia, retornou-se também o reporte de casos de assédio.
Number of strikes and lock-outs exceeding one week’s duration, by country
Correlated indicators
GRI Dimension:
Social
GRI Code:
MM4
Sector SASB:
Mining and Metals
SASB Dimension:
Labor Relations
SASB Code:
EM-MM-310 a.2
Number of strikes and lock-outs exceeding one week’s duration, by country
2019 None
2020 None
2021 None
 
Programs for upgrading employee skills and transition assistance programs
Correlated indicators
GRI Dimension:
Social
GRI Code:
404-2
SDG

We transformed skills and reskilling programs to support business strategy in the years ahead, highlighting digital skill sets and providing lifelong learning experiences for individuals and communities.

We have our Learning Management System (LMS), called Conexa, a learning platform that has allowed us to reduce the complexity of our training operation. Through this platform, we offer training in different formats, such as games, films, interaction, TED, content in partnerships with national and international universities.

A continuous and voluntary participation program was developed with various learning strategies: interactive lives, poadcasts, videos and renowned guest speakers who promoted discussions about the future of the job market and the impact on our business.

If you would like to learn more about our employee skills development and career transition assistance programs, please visit Learning and Development

Diversity of governance bodies and employees
Correlated indicators
GRI Dimension:
Social
GRI Code:
405-1
SDG
 Diversity of governance bodies and employees
2019 2020 2021
Total -30 years 30 to 50 years + 50 years Total -30 years 30 to 50 years + 50 years Total -30 years 30 to 50 years + 50 years
Diretor/ Presidente
Female 1
Male 9 4 5 9 4 5 9 4 5
Manager
Female 29 1 24 4 33 1 28 4 40 38 2
Male 123 91 32 117 1 88 28 123 1 97 25
Coordenador/ Consultor
Female 179 25 145 9 182 19 151 12 197 30 157 10
Male 432 37 334 61 418 32 324 62 479 43 372 64
Technician/Analyst/Supervisor
Female 259 121 130 8 278 121 150 7 327 144 175 8
Male 886 138 633 115 894 164 629 101 1014 192 719 103
Operational
Female 259 105 144 10 269 113 147 9 402 206 187 9
Male 3502 627 2172 703 3148 541 2005 602 3249 627 2050 572
Intern
Female 93 88 5 96 91 5 136 131 5
Male 83 81 2 87 85 2 95 95
Apprentice
Female 39 38 1 31 31 93 93
Male 63 63 37 37 29 29
 
 Diversity of governance bodies and employees
2019 2020 2021
Composition of minority groups in the organization
Employees aged over 50 954 830 798
Female 882 889 1.195
Composition of the governance body (Board and Management)
Male 17 17 16
Female 3 2 2
Composition of the governance body (Board and Executive Board) by age group (Conselho e Diretoria) por faixa etária
Below 30 years
30 to 50 years 5 5 5
Over 50 years 15 14 13
Information on employees and other workers
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-8
Sector SASB:
Mining and Metals
SASB Dimension:
Activity Metrics 
SASB Code:
EM-MM-000.B
SDG
Information on employees and other workers
2019 2020 2021       (%)
Own Employees
Own Employees Men 3.774 3.444 3.857 18,00%
Woman 624 631 832 3,90%
Hourly Employees Men 1.234 1.143 1.017 4,70%
Woman 128 131 134 0,60%
Trainee Men
Woman
Interns and Apprentices
Intern Men 73 87 95 0,40%
Woman 91 96 136 0,60%
Apprentice Men 63 37 29 0,10%
Woman 39 31 93 0,40%
Service Providers (third parties)
Permanent Men 6.385 6.449 6.806 31,70%
Woman 645 687 856 4,00%
Temporary Men 4.097 4.685 7.118 33,10%
Woman 343 403 506 2,40%
Total 17.496 17.824 21.479 100%

Check out our unit numbers:

 
Scale of the organization
Correlated indicators
GRI Dimension:
Economic
GRI Code:
102-7
 
Scale of the organization
2019 2020 2021
Number of own employees (not including trainees and apprentices) 5.760 5.349 5.840
Number of permanent service providers N/A 7.136 7.662
Number of temporary service providers N/A 5.088 7.624
Total number of service providers 11.470 12.224 15.286
Production Brazil (tons of ore processed) 2, 58 million 2,80 million 2,613 million
Production Peru (tons of ore processed) 10,43 million 8,05 million 9,718 million
 

N/A: Data not reported for the period

 
Collective bargaining agreements
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-41
Sector SASB:
Mining and Metals
SASB Dimension:
Working relationships
SASB Code:
EM-MM-310a.1
SDG
Nexa's Own Employees Covered by Collective Bargaining Agreements
2019 100% (*)
2020 100%
2021 82,7%
 

(*) For 2019, only employees from Brazil were considered.

 
New employee hires and employee turnover
Correlated indicators
GRI Dimension:
Social
GRI Code:
401-1
SDG
New employee hires and employee turnover
2019 (BR)(*) 2020 (BR/Abroad) 2021 (BR/Abroad)
Men Woman - 30 years 30 to 50 years + 50 years Men Woman - 30 years 30 to 50 years + 50 years Men Woman - 30 years 30 to 50 years + 50 years
Total employees 2889 614 1012 2164 327 4702 889 1236 3533 830 4871 966 1243 3799 798
Employees admitted 454 222 403 264 9 504 234 391 328 19 752 322 460 590 24
Employees terminated 438 143 231 291 59 761 140 112 459 330 642 162 229 455 120
New hire rate 16% 36% 40% 12% 3% 9% 4% 7% 6% 0% 13% 5% 8% 10% 0%
Turnover rate 15% 23% 23% 13% 18% 14% 3% 2% 8% 6% 11% 3% 4% 8% 2%
New hire rate 17% 13% 18%
Termination rate 16% 16% 14%
New employee hires and employee turnover
2019 (Abroad)
Men Woman - 30 years 30 to 50 years + 50 years
Total employees 2255 268 309 1587 627
Employees admitted 252 102 161 185 7
Employees terminated 269 89 141 162 55
New hire rate 11% 38% 52% 12% 1%
Turnover rate 12% 33% 46% 10% 9%
New hire rate 17%
Termination rate 16%
 

(*) For 2019, data on Brazilian and foreign employees were presented separately.

 
Total number of operations taking place in or adjacent to indigenous peoples’ territories, and number and percentage of operations or sites where there are formal agreements with indigenous peoples’ communities
Correlated indicators
GRI Dimension:
Social
GRI Code:
MM5
Sector SASB:
Mining and Metals
SASB Dimension:
Security, Human Rights and Rights of Indigenous Peoples
SASB Code:
EM-MM-210 a.2
SDG
 Total number of operations located in or adjacent to indigenous peoples' territories
2019 2020 2021
Total number of operations located in or adjacent to indigenous peoples' territories 0 1 4
Comments No Nexa operations are located on indigenous or adjacent lands Only the Aripuanã is in a region adjacent to indigenous lands. The unit has formal agreements with adjacent indigenous communities. Our operation is more than 10 km from the Indigenous Lands of the Cinta Larga and Arara do Rio Branco peoples, and Cerro Lindo, Atacocha and El Porvenir, in Peru, which are close to Quechua populations, which recognition is recent and subsequent to our operations.
 
Number and description of significant disputes relating to land use, customary rights of local communities and indigenous peoples
Correlated indicators
GRI Dimension:
Social
GRI Code:
MM6
Sector SASB:
Mining and Metals
SASB Dimension:
Security, Human Rights and Rights of Indigenous Peoples
SASB Code:
EM-MM-210 a.3
SDG
Number and description of significant disputes relating to land use, customary rights of local communities and indigenous peoples
2019 2020 2021
Number of Conflicts 2 3 1
Description In 2019, two conflicts were recorded, one with the community of Chavín and the Asociación de Defesa e Desenvolvimento Agrícola del Valle de Topara and another with the community of San Juan de Yanacachi, both in Pasco, Peru, related to land use. In 2020, there were 3 conflicts in Nexa Operations operations. Two in the Cerro Pasco region (Atacocha and El Porvenir) in Peru and one in Aripuanã in Brazil. In 2021, it recorded smaller-scale conflicts in the units of Cerro Lindo, El Porvenir, in addition to monitoring and agreements to mitigate conflicts in Aripuanã.
 
Percentage of proved and probable reserves in or near areas of conflict
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Security, Human Rights and Rights of Indigenous Peoples
SASB Code:
EM-MM-210 a.1
SDG

Percentage of proved and probable reserves in or near areas of conflict (*)

2021 Nexa does not have proven or probable reserves in or near areas of active conflict and with fatalities recorded.
 

(*) Data has not been reported for 2019 and 2020.

 
Non-compliance with laws and regulations in the social and economic area
Correlated indicators
GRI Dimension:
Social
GRI Code:
419-1
SDG

Non-compliance with laws and regulations in the social and economic area (*)

2019 2020 2021
Total value of significant fines for non-compliance with laws and regulations, including products and services (US$) 161.382.266,96 34.083.072,76 1.766.809,98
Number of non-monetary sanctions
Lawsuits filed through arbitration mechanisms
 

(*) Fines and sanctions received and amounts paid were considered, including both lawsuits filed and administrative proceedings.

 
Sites where resettlements took place, the number of households resettled in each, and how their livelihoods were affected in the process
Correlated indicators
GRI Dimension:
Social
GRI Code:
MM9
Places where resettlements took place
2019 none
2020 none
2021 none
Number and duration of non-technical delays (*)
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Community Relations
SASB Code:
EM-MM-210 b.2
Number and duration of non-technical delays (*)
2021 2: One in Atacocha and one in Cerro Lindo, with 1 and 5 days of stoppage, respectively
 

(*) Data has not been reported for 2019 and 2020.

 
Discussion of the process for managing risks and opportunities associated with community rights and interests
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Community Relations
SASB Code:
EM-MM-210 b.1
SDG
Through actions with the communities where we operate - in an increasingly close, transparent and constructive relationship - we seek to co-create a positive and structured legacy, enabling affirmative transformations for local development, as well as ensuring that the rights of these communities are respected. To achieve this goal, in 2020 we created a General Management of Social Management, within the Sustainability Department. The change required the area to undergo an internal restructuring, defining priorities, scope, roles and responsibilities of the teams in Brazil and Peru. Continuing this process, 2021 was the year of consolidation of the teams. In 2021, year in which the new coronavirus pandemic continued to bring challenges to governments and organizations around the world, we continue feeling the impacts brought by Covid-19. Whenever possible, the company's social management projects, especially those for education, health, income generation and social support, were adapted to the pandemic scenario, in a reality in which we were forced to live with the disease for a prolonged period.
Operations with local community engagement, impact assessments, and development programs
Correlated indicators
GRI Dimension:
Social
GRI Code:
413-1
SDG
 
Operations with local community engagement, impact assessments, and development programs
2019 2020 2021
Total investment in social actions US$ 14,5 milhões US$ 8,8 milhões US$ 11,9 milhões
Total projects and initiatives 145 projects in 17 locations in Brazil and Peru, benefiting more than 44,000 people 132 projects in 17 locations in Brazil and Peru, benefiting more than 20,000 people 320 projects in 116 locations in Brazil and Peru
 
Management of water discharge-related impacts
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
303-2
SDG
Our Sustainability Master Plan, responsible for the guidelines necessary to ensure the conscientious use of this resource, establishes objectives for continuous improvement in the reduction of water use in all our operations. Among them, since 2020 we have already achieved the target set for 2025, which was a percentage of 75% recirculation. In 2021, we reached a recirculation rate of 84%, two percentage points above the previous year.
Water withdrawal
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
303-3
Sector SASB:
Mining and Metals
SASB Dimension:
Water Management
SASB Code:
EM-MM 140 a.1
SDG
Water withdrawal by source (megalitres)¹
2019 2020 2021
Total Total Total In area of water scarcity In area without water scarcity
Surface water² 16.849,30 17.208,64 16.947,47 16.947,47
Fresh water 9.852,53
Another water 7.356,11 16.947,47 16.947,47
Ground Water4 122.053,18 119.982,84 94.253,41 94.253,41
Fresh water5 5.080,02
Another water 114.902,81 94.253,41 94.253,41
Rainwater5 5.249,03 5.595,68 7.159,51 7.159,51
Fresh water 2.659,73
Another water 2.935,94 7.159,51 7.159,51
Seawater 3.646,73 2.909,73 3.372,91 3.372,91
Fresh water
Another water 2.909,73 3.372,91 3.372,91
Produced water6 1.003,37 682,13 231,90 231,90
Fresh water 569,00
Another water 113,13 231,90 231,90
Third party water7 19,01 17,78 21,56 21,56
Fresh water
Another water 17,78 21,56 21,56
Total discarded withdrawn and used 148.820,65 146.396,81 121.986,75 121.986,75
Fresh water 18.161,29
Another water 128.235,51 121.986,75 121.986,75
 

¹ Megaliter = 1 thousand m3.

² Surface water: rivers, streams and lakes.

³Fresh water corresponds to (≤1,000 mg/L total dissolved solids) and Other water to (> 1,000 mg/L total dissolved solids).

4 Groundwater: groundwater, wells and mine lowering.

5 Rainwater: rainwater collected and stored directly by the organization.

6 Produced water: water contained in ores and concentrates.

7 Third-party water: provided by utilities and suppliers.

Check out our unit numbers:

¹ Megaliter = 1 thousand m3.

² Surface water: rivers, streams and lakes.

³Fresh water corresponds to (≤1,000 mg/L total dissolved solids) and Other water to (> 1,000 mg/L total dissolved solids).

4 Groundwater: groundwater, wells and mine lowering.

5 Rainwater: rainwater collected and stored directly by the organization.

6 Produced water: water contained in ores and concentrates.

7 Third-party water: provided by utilities and suppliers.

 
Water disposal
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
303-4
SDG
Water Disposal (in megaliters)¹
2019 2020 2021
Total Total Total In area of water scarcity In area without water scarcity
Surface water² 128.413,37 128.089,84 113.945,49 113.945,49
Fresh water 108.665,37 8.602,94 8.602,94
Another water 19.424,47 105.342,55 105.342,55
Ground Water4 1.106,19 3.973,63 3.704,57 3.704,57
Fresh water 3.488,83
Another water 484,79 3.704,57 3.704,57
Seawater 2.345,14 1.882,25 2.097,73 2.097,73
Fresh water
Another water 1.882,25  2.097,73  2.097,73
Tratamento terceirizado5 740,22 608,64 19,72 19,72
Fresh water 15,62 15,62
Another water 608,64 4,10 4,10
Água retida6 1.330,40 2.141,54 1.952,70 1.952,70
Fresh water 520,14 12,00 12,00
Another water 1.621,40 1.940,70 1.940,70
Other7 9.271,53 9.620,89 8.764,76 8.764,76
Fresh water 683,64 1.350,70 1.350,70
Another water 8.937,25 7.414,06 7.414,06
Total discarded water 146.206,87 146.316,79 130.484,96 130.484,96
Fresh water 113.357,99 9.981,26 9.981,26
Another water 32.958,80 120.503,70 120.503,70
 

¹ Megaliter = 1 thousand m3.

² Surface water: rivers, streams and lakes.

³Fresh water corresponds to (≤1,000 mg/L total dissolved solids) and Other water to (> 1,000 mg/L total dissolved solids).

4 Groundwater: groundwater, wells and mine lowering.

5 Outsourced treatment: concessionaires, government and others.

6 Retained water: in products and/or waste.

7 Others: examples: evaporation, losses, effluents supplied to third parties, etc.

Check out our unit numbers:

¹ Megaliter = 1 thousand m3.

² Surface water: rivers, streams and lakes.

³Fresh water corresponds to (≤1,000 mg/L total dissolved solids) and Other water to (> 1,000 mg/L total dissolved solids).

4 Groundwater: groundwater, wells and mine lowering.

5 Outsourced treatment: concessionaires, government and others.

6 Retained water: in products and/or waste.

7 Others: examples: evaporation, losses, effluents supplied to third parties, etc.

 
Interactions with water as a shared resource
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
303-1
SDG
Our Sustainability Master Plan, responsible for the guidelines necessary to ensure the conscientious use of this resource, establishes objectives for continuous improvement in the reduction of water use in all our operations. Among them, since 2020 we have already achieved the target set for 2025, which was a percentage of 75% recirculation. In 2021, we reached a recirculation rate of 84%, two percentage points above the previous year.
New suppliers that were screened using environmental criteria
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
308-1
New suppliers that were screened using environmental criteria
2019 20%
2020 13%
2021 N/A
 

N/A: No data reported for the period.

     
Negative environmental impacts in the supply chain and actions taken
Correlated indicators
GRI Dimension:
Environmental
GRI Code:
308-2
Negative Environmental Impacts in the Supply Chain and Actions Taken
2019 N/A
2020 N/A
2021 3 suppliers identified as causing significant and potential environmental impacts.*
 

N/A: No data reported for the period.

(*) Process improvements were agreed to be in compliance with Nexa criteria. There were no contract terminations with suppliers in the period.

 
Operations and suppliers at significant risk for incidents of forced or compulsory labor
Correlated indicators
GRI Dimension:
Social
GRI Code:
409-1
SDG
Operations and suppliers at significant risk for incidents of forced or compulsory labor
2019 N/A
2020 N/A
2021 none
 

N/A: No data reported for the period.

 
New suppliers that were screened using social criteria
Correlated indicators
GRI Dimension:
Social
GRI Code:
414-1
SDG
New suppliers that were screened using social criteria
2019 58%
2020 54%
2021 87%
Description of the management system for prevention of corruption and bribery throughout the value chain
Correlated indicators
Sector SASB:
Mining and Metals
SASB Dimension:
Business Ethics and Transparency
SASB Code:
EM-MM-510 a.1
SDG
In addition to Nexa’s Code of Conduct, other documents were updated throughout the year, such as the Antitrust, Prevention of Money Laundering and Terrorist Financing, ESTMA, Anti-Corruption, Donations, Government Relations, Gifts and Hospitality policies, as well as Sponsorships, Books and Records, Conflict of Interest, Training and Communication, and Compliance Definitions.
Supply chain
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-9
Nexa's Supplier Management Program has the mission to establish an ongoing dialogue with the partners who value the fulfilment of our values. Regardless of the product offered or service provided, it is essential for the company that our suppliers are committed to seeking the best social and environmental practices, making responsible use of natural resources and respecting the rights of employees. We currently have over 8 thousand companies in our bank of suppliers and supplies. If you want to know more about Nexa's supply chain, please visit Sustainable Value Chain
Operations and suppliers in which the right to freedom of association and collective bargaining may be at risk
Correlated indicators
GRI Dimension:
Social
GRI Code:
407-1
SDG
In the approval process, suppliers are evaluated in relation to registration, health and safety, environmental, legal, fiscal and financial criteria, as well as integrity requirements, such as connection with bribery, corruption, money laundering and terrorism financing. Suppliers must also ensure a safe and healthy working environment, ensure freedom to join a trade union and non-discrimination on the basis of gender, race, social class, nationality, religion, physical or mental disability, sexual orientation or any other diversity condition, as per Nexa policy.
Significant changes to the organization and its supply chain
Correlated indicators
GRI Dimension:
Social
GRI Code:
102-10
SDG
Nexa is committed to mobilizing its supply chain towards environmental, social and governance issues. To this end, it shares good ESG practices through the Supplier Assessment Program (IAF). The Program was recently revised, and among the changes implemented were the revision of the evaluation form and indicators, alteration of the weights and minimum score of all the dimensions evaluated, besides the inclusion of the supplier self-assessment stage, which can give them a bonus according to their level of maturity in relation to ESG themes. If you would like to know more about Nexa's supply chain, please visit Sustainable Value Chain
Operations and suppliers at significant risk for incidents of child labor
Correlated indicators
GRI Dimension:
Social
GRI Code:
408-1
SDG

Operations and suppliers at significant risk for incidents of child labor

2019 N/A
2020 N/A
2021 none
 

N/A: No data reported for the period.

 
Proportion of spending on local suppliers
Correlated indicators
GRI Dimension:
Economic
GRI Code:
204-1
SDG
Proportion of spending on local suppliers
2019 2020 2021
Humanized management 1.957,11 1054,23 2.194,40
% of spending with local suppliers¹ 3,1% 2,7% 3,8%
 

¹ Person or organization that provides a product or service to the reporting organization and is geographically based in the same market as the reporting organization (i.e. no transnational payment to the supplier is made). The geographic definition of "local" can include the community surrounding the operations, the region within a country, or a country. According to VID's Local Supplier Development Policy, local suppliers are defined as those located within the area of influence of Votorantim Industrial's operations, using local labor, collecting taxes and generating jobs in the region.

 

Get to know our evolution, year by year.

Sustainability is a fundamental factor in the company’s strategic decision-making. We publish reports that gather the main information about our operations, performance and sustainable practices annually. These documents ensure our transparency and traceability practices, as we publicly share the impacts of our activities.

Considering the importance of always disclosing reliable data and the search for continuous improvement of our activities, we have gone through an external verification process of our reports since 2019.

Our 2021 highlights

Financial and manufactured capital

US$ 2.6 bilIion

of net revenue

US$ 704 million

of adjusted EBITDA

US$ 1.54 billion

of distributed value added

US$ 508 million

of CAPEX investments

619 tons

of metallic zinc + zinc oxide sold

Human, intellectual, social and relationship capital

13.502 own employees

and permanent third parties

170+ thousand hours

of training

US$ 85 million

invested in mineral exploration and project development

US$ 12 million

invested in social actions, with 320 projects in 116 locations

Natural capital

84%

of water recirculation over total consumption in units

99%

electric power from renewable sources