CSR
Performance Data
GRI Indicators
BASIS OF REPORTING
All financial information is presented in US dollars except where otherwise indicated. All operating data is reported using the metric system. Some metrics are reported on both an absolute basis and an intensity basis against kilotonnes of metal processed. Safety data frequency rates are measured per 200,000 hours worked.
DATA MEASUREMENT TECHNIQUES
Data is measured or estimated, and operations are asked to explain significant deviations in year-over-year trends. The performance data is reported at a mix of operational and corporate levels. Data is checked and approved at the site level, and also reviewed for consistency by the corporate data collection team.
We provide safety and environmental incident definitions so that all operations report incidents consistently. We calculate greenhouse gas (GHG) emissions using published factors for emissions.
Most of the performance data for water and energy is metered. We purchase most of our electricity from local grids. Utility grid statistics are therefore used to compile purchased electricity-related GHG numbers. We generate electricity at some of our project sites (such as Constancia and Reed) and this energy is reflected in fuel consumption, while GHG numbers are calculated based on conversion factors.
Data for the indicators is collected and compiled using information submitted by each site on a standard template. We provide instruction and criteria for GRI G4 and Towards Sustainable Mining (TSM), and also supply a GHG emissions worksheet (developed by the Mining Association of Canada).
Key Performance Data
- Employees
- society
Economic
| 2015 | 2014 | 2013 | 2012 | |
|---|---|---|---|---|
| Direct economic value generated and distributed (in $ millions) (EC1) | ||||
| Profit (loss) before tax | $(331.4) | $13.9 | $(53.7) | $48.7 |
| Revenues | $923.1 | $507.5 | $500.9 | $702.6 |
| Operating costs | ||||
| Canada | (408.5) | (428.6) | (399.7) | (490.7) |
| US | (5.7) | (7.6) | (1.8) | (10.4) |
| Peru | (186.0) | (8.7) | (9.7) | (13.0) |
| Chile | (0.5) | (1.9) | (2.7) | (7.0) |
| Colombia | (0.4) | (0.8) | (3.9) | (4.6) |
| Total | $(601.1) | $(447.6) | $(417.8) | $(525.7) |
| Employee wages and benefits | ||||
| Canada | 157.1 | 156.5 | 160.8 | 190.6 |
| US | 9.3 | 4.6 | 1.1 | 1.9 |
| Peru | 22.4 | 20.6 | 15.7 | 11.9 |
| Chile | 0.0 | 0.0 | 1.2 | 1.8 |
| Colombia | 0.2 | 0.2 | 1.2 | 1.3 |
| Total | $189.0 | $181.9 | $179.9 | $207.5 |
| Payments to government | ||||
| Taxes paid | ||||
| Canada | 6.1 | (21.1) | 5.6 | 59.3 |
| US | 0.0 | 0.1 | 0.0 | 0.7 |
| Peru | 28.0 | 5.8 | 1.5 | 0.0 |
| Chile | 0.0 | 0.0 | 0.0 | 0.0 |
| Colombia | 0.0 | 0.0 | 0.0 | 0.2 |
| Total | $34.1 | $(15.2) | $7.1 | $60.2 |
| Municipal taxes and grants | ||||
| Canada | 6.7 | 7.8 | 7.6 | 7.5 |
| US | 0.1 | 0.5 | 0.7 | 0.0 |
| Peru | 0.0 | 0.0 | 0.0 | 0.0 |
| Chile | 0.0 | 0.0 | 0.0 | 0.0 |
| Colombia | 0.0 | 0.0 | 0.0 | 0.0 |
| Total | $6.8 | $8.3 | $8.3 | $7.5 |
| Penalties and interest paid | ||||
| Canada | 0.1 | 0.0 | 0.0 | 0.0 |
| US | 0.0 | 0.3 | 0.0 | 0.0 |
| Peru | 0.0 | 0.2 | 0.0 | 0.0 |
| Chile | 0.0 | 0.0 | 0.0 | 0.0 |
| Colombia | 0.0 | 0.0 | 0.0 | 0.0 |
| Total | $0.1 | $0.5 | $0.0 | $0.0 |
| Payments to providers of capital | ||||
| Dividends paid | $3.6 | $3.8 | $18.5 | $34.7 |
| Interest payments made to providers of loans | $108.6 | $82.1 | $56.8 | $0.0 |
| Financing fees paid | ||||
| Canada | 1.3 | 0.9 | 2.8 | 6.0 |
| Peru | 1.2 | 4.6 | 0.0 | 4.6 |
| Total | $2.5 | $5.5 | $2.8 | $10.6 |
| Other interest paid | ||||
| Canada | 0.0 | 0.0 | 0.0 | 0.1 |
| Peru | 0.0 | 0.0 | 0.0 | 0.0 |
| Total | $0.0 | $0.0 | $0.0 | $0.1 |
| Capital expenditures – cash flow basis | $490.6 | $890.9 | $878.7 | $510.7 |
| Cash and cash equivalents | $53.9 | $178.7 | $593.7 | $1,343.9 |
| Payments – Local communities for land use (in $000s) | ||||
| Canada | 0.0 | 0.0 | 0.0 | 0.0 |
| US | 0.0 | 0.0 | 0.0 | 0.0 |
| Peru | 579.5 | 1,684.5 | 10,647.1 | 24,437.9 |
| Total land use payments | $579.5 | $1,684.5 | $10,647.1 | $24,437.9 |
| Public benefit | ||||
| Community investment and charitable donations (in $000s) | ||||
| Canada | 307.1 | 602.8 | 650.6 | 1,059.2 |
| US | 63.5 | 212.9 | 48.4 | 60.7 |
| Peru | 2,435.7 | 3,103.0 | 3,952.0 | 756.2 |
| Chile | 0.0 | 0.0 | 0.0 | 0.0 |
| Colombia | 0.0 | 0.0 | 0.0 | 23.5 |
| Total community investments and donations11. Political donations are included in this total; however, in accordance with Hudbay policy, political donations were $0. | $2,806.3 | $3,918.7 | $4,651.0 | $1,899.7 |
| Resettlement investment (Peru) (in $000s) | $957.5 | $7,857.0 | $16,429.9 | $8,262.4 |
| Production (contained metal in concentrate) | ||||
| Copper (000 tonnes) | 147.3 | 37.6 | 29.9 | 39.6 |
| Zinc (000 tonnes) | 102.9 | 82.5 | 86.5 | 80.9 |
| Gold (000 troy ounces) | 100.2 | 73.4 | 79.2 | 86.6 |
| Silver (000 troy ounces) | 2,791.5 | 745.9 | 772.5 | 824.0 |
| Metal production | ||||
| Zinc metal (000 tonnes) | 101.9 | 105.1 | 96.3 | 100.7 |
- Political donations are included in this total; however, in accordance with Hudbay policy, political donations were $0.
Employees
| 2015 | 2014 | 2013 | 2012 | |
|---|---|---|---|---|
| Total workforce (G4-10) | ||||
| Number of full-time employees | ||||
| MBU | 1,399 | 1,391 | 1,373 | 1,281 |
| Ontario | 68 | 61 | 52 | 65 |
| Arizona | 50 | 34 | N/ap | N/ap |
| New York | 0 | 8 | 8 | 8 |
| Peru | 183 | 174 | 157 | 131 |
| Colombia | 0 | 0 | 1 | 15 |
| Chile | 0 | 0 | 1 | 14 |
| Total full-time employees | 1,700 | 1,668 | 1,594 | 1,516 |
| Employment11. Separated out to report employment type by region for the last two years; therefore, data for the previous two years is not available (N/av) in this format as only Hudbay totals were reported previously. | ||||
| Number of part-time employees | ||||
| MBU | 2 | 14 | N/av – See total below | |
| Ontario | 0 | 0 | N/av – See total below | |
| Arizona | 2 | 2 | N/av – See total below | |
| New York | 0 | 2 | N/av – See total below | |
| Peru | 0 | 0 | N/av – See total below | |
| Chile | 0 | 0 | N/av – See total below | |
| Total part-time employees | 4 | 18 | 52 | 42 |
| Number of contract (term) employees | ||||
| MBU | 7 | 18 | N/av – See total below | |
| Ontario | 5 | 1 | N/av – See total below | |
| Arizona | 0 | 0 | N/av – See total below | |
| New York | 0 | 1 | N/av – See total below | |
| Peru | 187 | 138 | N/av – See total below | |
| Chile | 1 | 0 | N/av – See total below | |
| Total contract employees | 200 | 158 | 23 | 34 |
| Number of co-op and summer students hired | ||||
| MBU | 40 | 41 | N/av – See total below | |
| Ontario | 3 | 2 | N/av – See total below | |
| Arizona | 2 | 0 | N/av – See total below | |
| New York | 0 | 0 | N/av – See total below | |
| Peru | 12 | 6 | N/av – See total below | |
| Chile | 0 | 0 | N/av – See total below | |
| Total co-op/summer students | 57 | 49 | 43 | 39 |
| Number of employees represented by collective bargaining agreements (G4-11) | 1,053 | 1,091 | 1,047 | 961 |
| Percentage of full-time employees represented by trade unions | 61.9% | 65.4% | 65.7% | 63.4% |
| Operational changes (LA4) | ||||
| Minimum number of weeks provided before operational changes (MBU only) | 2 | 2 | 2 | 2 |
| Negotiated into collective agreements (MBU only) | Yes | Yes | Yes | Yes |
| Number of strikes or lockouts exceeding one week (MM4) | 1 | 0 | 0 | 0 |
| Employee turnover | ||||
| Region | ||||
| MBU | 206 | 118 | N/av | N/av |
| Corporate | 5 | 7 | N/av | N/av |
| ABU | 9 | 1 | N/av | N/av |
| Peru | 32 | 53 | N/av | N/av |
| Chile | 0 | 0 | N/av | N/av |
| Total | 252 | 179 | N/av | N/av |
| Age distribution | ||||
| <30 | 23.4% | 18.4% | N/av | N/av |
| 30–50 | 40.5% | 50.3% | N/av | N/av |
| >50 | 36.1% | 31.8% | N/av | N/av |
| Gender | ||||
| Male | 75.4% | 82.7% | N/av | N/av |
| Female | 24.6% | 17.9% | N/av | N/av |
| Voluntary turnover rate (Hudbay total) | 11.4% | 7.4% | 4.3% | 5.0% |
| Involuntary turnover rate (Hudbay total) | 3.6% | 3.4% | 4.1% | N/av |
| New employee hires22. As per G4-LA1 – Report total number and rate of new employee hires by age, gender and region. LA1 was not broken down into these subsections in reporting years prior to 2014; therefore, data for the two previous years is not available (N/av). | ||||
| Region | ||||
| MBU | 221 | 155 | N/av | N/av |
| Corporate | 12 | 7 | N/av | N/av |
| ABU | 23 | 36 | N/av | N/av |
| Peru | 160 | 183 | N/av | N/av |
| Chile | 0 | 0 | N/av | N/av |
| Total | 416 | 381 | N/av | N/av |
| Age distribution | ||||
| <30 | 40.6% | 22.6% | N/av | N/av |
| 30–50 | 47.4% | 64.0% | N/av | N/av |
| >50 | 12.0% | 13.6% | N/av | N/av |
| Gender | ||||
| Male | 79.3% | 82.9% | N/av | N/av |
| Female | 20.7% | 17.3% | N/av | N/av |
| Net number of full-time employees added (decreased) | ||||
| Canada | 15 | 27 | 79 | 7 |
| US | 8 | 32 | 0 | (7) |
| Peru | 9 | 17 | 26 | 57 |
| Colombia | 0 | (1) | (14) | 15 |
| Chile | 0 | (1) | (13) | 14 |
| Total | 32 | 74 | 78 | 86 |
| Number of contractor full-time equivalent staff (G4-10) | ||||
| Manitoba | 274 | 245 | 316 | 381 |
| Peru | 4,33733. Decrease due to reduced construction activities. | 9,595 | 6,438 | 2,972 |
| Arizona | 55 | N/ap | N/ap | N/ap |
| Other | 4 | 54 | 25 | 6 |
| Person-hours of work (including contractors) (LA1) | ||||
| North America | 3,245,882 | 3,359,663 | 3,245,625 | 3,329,467 |
| South America | 9,907,70533. Decrease due to reduced construction activities. | 20,458,806 | 13,781,606 | 6,459,441 |
| Total person-hours | 13,158,587 | 23,818,469 | 17,027,231 | 9,788,908 |
| Employees receiving regular performance and career development reviews (LA11) | ||||
| Percentage reviewed44. Note that only full-time staff receive this review. | 41% | 22% | 26% | N/av |
| Hudbay total workforce age distribution (LA12) | ||||
| <30 | 13.0% | 13.8% | 11.4% | 11.1% |
| 30–50 | 47.9% | 47.8% | 47.4% | 50.0% |
| >50 | 39.6% | 36.6% | 41.2% | 38.9% |
| Composition of governance bodies and breakdown of employees | ||||
| Workforce diversity | ||||
| Female (Hudbay) | ||||
| MBU | 187 | 182 | N/av | N/av |
| Ontario | 32 | 27 | N/av | N/av |
| Arizona | 24 | 15 | N/av | N/av |
| New York | 0 | 0 | N/av | N/av |
| Peru | 28 | 35 | N/av | N/av |
| Chile | N/ap | 0 | N/av | N/av |
| Percentage of total workforce that is female | 16% | 16% | 17% | 15% |
| Aboriginal (MBU only) | N/av55. This information is not made available until June; therefore, we are a year behind in our public reporting. | 14% | 13% | 11% |
| Disabled (MBU only) | N/av55. This information is not made available until June; therefore, we are a year behind in our public reporting. | 6% | 5% | 6% |
| Visible minorities (MBU only) | N/av55. This information is not made available until June; therefore, we are a year behind in our public reporting. | 6% | 5% | 6% |
| Composition of executive management and corporate governance bodies | ||||
| Board of Directors (ratio male to female) | 4:1 | 10:1 | 9:1 | 10:0 |
| Age distribution | ||||
| <30 | 0% | 0% | 0% | 0% |
| 30–50 | 0% | 10% | 10% | 10% |
| >50 | 100% | 90% | 90% | 90% |
| Executive management (ratio male to female)66. VP levels. Corporate data only. | 5.5:1 | 10:1 | 10:1 | 11:1 |
| Age distribution | ||||
| <30 | 0% | 0% | 0% | 0% |
| 30–50 | 64% | 72% | 64% | 58% |
| >50 | 36% | 27% | 36% | 42% |
| Ratio of annual compensation of highest paid individual to mean total compensation (G4-54) | ||||
| Canada (Manitoba Business Unit, excluding Corporate office) | 6.5:1 | 6.1:1 | 8.9:1 | 7.2:1 |
| Canada (including Corporate office) | 16.4:1 | 29.8:1 | 23.5:1 | 20.0:1 |
| Peru | 10.0:1 | 9.5:1 | 11.3:1 | 12.8:1 |
| United States (Arizona Business Unit) | 4.2:1 | 3.1:1 | N/ap | N/ap |
| Workforce represented in formal joint management-worker Health and Safety Committees (LA5) | ||||
| Percentage represented | 100% | 100% | 100% | 100% |
| Health and safety performance (per 200,000 hours worked, except where noted) (LA6)77. LA6 was not broken down into these subsections in reporting years prior to 2013; therefore, data for 2012 is not available (N/av). | ||||
| Lost time accident frequency (LTA) | ||||
| Manitoba | 1.0 | 1.0 | 0.7 | N/av |
| Manitoba contractors | 0.7 | 0.8 | 0.3 | N/av |
| Peru | 0.7 | 0.0 | 0.0 | N/av |
| Peru contractors | 0.1 | 0.0 | 0.2 | N/av |
| Arizona | 0.0 | N/ap | N/ap | N/ap |
| Arizona contractors | 0.0 | N/ap | N/ap | N/ap |
| North America (not including MBU and ABU) | 0.0 | 0.0 | 0.0 | N/av |
| North America contractors (not including MBU and ABU) | 0.0 | 0.0 | 0.0 | N/av |
| South America (not including Peru) | 0.0 | 0.0 | 0.0 | N/av |
| South America contractors (not including Peru) | 0.0 | 0.0 | 44.1 | N/av |
| Total | 0.3 | 0.1 | 0.4 | 0.3 |
| Lost time accident severity (SEV) | ||||
| Manitoba | 35.2 | 36.0 | 34.4 | N/av |
| Manitoba contractors | 14.8 | 23.0 | 0.3 | N/av |
| Peru | 22.0 | 0.0 | 0.0 | N/av |
| Peru contractors | 3.6 | 0.2 | 7.1 | N/av |
| Arizona | 0.0 | N/ap | N/ap | N/ap |
| Arizona contractors | 0.0 | N/ap | N/ap | N/ap |
| North America (not including MBU and ABU) | 0.0 | 0.0 | 0.0 | N/av |
| North America contractors (not including MBU and ABU) | 0.0 | 0.0 | 0.0 | N/av |
| South America (not including Peru) | 0.0 | 0.0 | 0.0 | N/av |
| South America contractors (not including Peru) | 0.0 | 0.0 | 163.0 | N/av |
| Total | 11.4 | 4.7 | 11.0 | 3.3 |
| Restricted work case frequency (RWC) | ||||
| Manitoba | 1.8 | 2.2 | 1.6 | N/av |
| Manitoba contractors | 0.0 | 0.4 | 0.6 | N/av |
| Peru | 0.2 | 0.0 | 0.0 | N/av |
| Peru contractors | 0.0 | 0.0 | 0.4 | N/av |
| Arizona | 0.0 | N/ap | N/ap | N/ap |
| Arizona contractors | 0.0 | N/ap | N/ap | N/ap |
| North America (not including MBU and ABU) | 0.0 | 0.0 | 0.0 | N/av |
| North America contractors (not including MBU and ABU) | 0.0 | 0.0 | 0.0 | N/av |
| South America (not including Peru) | 0.0 | 0.0 | 0.0 | N/av |
| South America contractors (not including Peru) | 0.0 | 0.0 | 0.0 | N/av |
| Total | 0.4 | 0.3 | 0.6 | 0.8 |
| Medical aid frequency (MA) | ||||
| Manitoba | 11.0 | 12.8 | 12.1 | N/av |
| Manitoba contractors | 12.3 | 12.9 | 8.8 | N/av |
| Peru | 2.3 | 0.0 | 0.6 | N/av |
| Peru contractors | 0.2 | 0.5 | 0.9 | N/av |
| Arizona | 4.9 | N/ap | N/ap | N/ap |
| Arizona contractors | 5.3 | N/ap | N/ap | N/ap |
| North America (not including MBU and ABU) | 0.0 | 1.2 | 0.0 | N/av |
| North America contractors (not including MBU and ABU) | 0.0 | 2.1 | 0.0 | N/av |
| South America (not including Peru) | 0.0 | 0.0 | 0.0 | N/av |
| South America contractors (not including Peru) | 0.0 | 0.0 | 70.5 | N/av |
| Total | 3.0 | 2.1 | 3.0 | 4.7 |
| First aid frequency (FA) | ||||
| Manitoba | 22.1 | 28.5 | 26.0 | N/av |
| Manitoba contractors | 6.0 | 8.2 | 3.7 | N/av |
| Peru | 4.8 | 0.4 | 1.8 | N/av |
| Peru contractors | 0.6 | 1.3 | 2.4 | N/av |
| Arizona | 17.2 | N/ap | N/ap | N/ap |
| Arizona contractors | 5.3 | N/ap | N/ap | N/ap |
| North America (not including MBU and ABU) | 0.0 | 3.7 | 0.0 | N/av |
| North America contractors (not including MBU and ABU) | 0.0 | 8.3 | 0.0 | N/av |
| South America (not including Peru) | 0.0 | 0.0 | 28.1 | N/av |
| South America contractors (not including Peru) | 0.0 | 0.0 | 136.6 | N/av |
| Total | 5.2 | 4.4 | 6.2 | 7.6 |
| Fatality (number) | 0 | 0 | 0 | 0 |
| Absentee rate (as a % of hours scheduled to be worked)88. Concluded that the level of effort required to assemble this data accurately isn’t practical at this time. | N/av | N/av | N/av | N/av |
| Reportable occurrences (defined as EHS incidents required by Hudbay policy to be reported to our Board of Directors) | 141 | 81 | 127 | 73 |
Benefits
| Corporate | MBU | |||
|---|---|---|---|---|
| Full time | Part time | Full time | Part time | |
| Life insurance | Yes | No | Yes | Members of 9338 when meeting specified critieria |
| Health care | Yes | No | Yes | Members of 9338 when meeting specified critieria |
| Disability and invalidity coverage | Yes | No | Yes | No |
| Parental leave | Yes | No | Yes | No |
| Retirement provision | Yes | No | Yes | No |
| Stock ownership | Yes | No | Yes | No |
| Other – Critical illness insurance | Yes | No | Management only | No |
| Other – Accidental death and dismemberment insurance | Yes | No | Yes | No |
| Peru | ABU | |||
|---|---|---|---|---|
| Full time | Part time | Full time | Part time | |
| Life insurance | Yes | N/ap | Yes | No |
| Health care | Yes | N/ap | Yes | No |
| Disability and invalidity coverage | Yes | N/ap | Yes | No |
| Parental leave | Yes | N/ap | 0 | 0 |
| Retirement provision | Yes | N/ap | Yes (401k) | No |
| Stock ownership | Yes | N/ap | Yes | No |
| Other – Critical illness insurance | Yes | N/ap | No | No |
| Other – Accidental death and dismemberment insurance | Yes | N/ap | Yes | No |
- Separated out to report employment type by region for the last two years; therefore, data for the previous two years is not available (N/av) in this format as only Hudbay totals were reported previously.
- As per G4-LA1 – Report total number and rate of new employee hires by age, gender and region. LA1 was not broken down into these subsections in reporting years prior to 2014; therefore, data for the two previous years is not available (N/av).
- Decrease due to reduced construction activities.
- Note that only full-time staff receive this review.
- This information is not made available until June; therefore, we are a year behind in our public reporting.
- VP levels. Corporate data only.
- LA6 was not broken down into these subsections in reporting years prior to 2013; therefore, data for 2012 is not available (N/av).
- Concluded that the level of effort required to assemble this data accurately isn’t practical at this time.
society
| 2015 | 2014 | 2013 | 2012 | |
|---|---|---|---|---|
| Total number of incidents of discrimination (and actions taken) (HR3) | 011. An employee in Manitoba filed a harassment complaint against a co-worker. Hudbay and the Mines Inspector investigated and the complaint was not substantiated. The complainant subsequently filed a Human Rights Complaint and it is still going through the process. This number may be revised pending the outcome of that process. | 0 | 0 | 0 |
| Land use disputes (MM6) | 0 | 0 | 2 | 0 |
| Resettlements (MM9) | ||||
| Number of households | 3622. Same numbers as last year because this is a multi-year process. These are the same 36 households/150 people as we reported last year; some were resettled during the 2014 calendar year, some during the 2015 calendar year. | 36 | 0 | 0 |
| Number of individuals | 150 | 150 | 0 | 0 |
| Employees trained in anti-corruption policies (SO4) | ||||
| Number | 360 | 182 | 336 | 261 |
| Percentage of workforce | 21% | 10% | 21% | 17% |
| Percentage of employees given training based on internal requirement | 91% | N/av | N/av | N/av |
| Employees that anti-corruption policies have been communicated to33. Added to reflect G4 reporting guidelines. SO4 was not broken down into these subsections in reporting years prior to 2014; therefore, data for the two previous years is not available (N/av). | ||||
| Number – management | 229 | 412 | N/av – See above | |
| Percentage | 98% | 100% | N/av – See above | |
| Number – non-management | 560 | 485 | N/av – See above | |
| Percentage | 100% | 100% | N/av – See above | |
| Governance body members that anti-corruption policies have been communicated to44. Governance bodies (Board of Directors) are only in Toronto, Canada, and therefore other regions were excluded. | ||||
| Number | 10 | 10 | N/av | N/av |
| Percentage | 100% | 100% | N/av | N/av |
| Governance body members that received training on anti-corruption44. Governance bodies (Board of Directors) are only in Toronto, Canada, and therefore other regions were excluded. | ||||
| Number | 10 | 10 | N/av | N/av |
| Percentage | 100% | 100% | N/av | N/av |
| Average hours of training55. Our largest employee-based location did not provide details, so this information applies only to Peru and Arizona. | ||||
| Males in management | 19.65 | N/av | N/av | N/av |
| Females in management | 50.17 | N/av | N/av | N/av |
| Males in non-management | 51.86 | N/av | N/av | N/av |
| Females in non-management | 36.71 | N/av | N/av | N/av |
| Security practices (security personnel training) (HR7) | ||||
| Hudbay security personnel trained in human rights policies and procedures | ||||
| Number | 15 | 15 | N/av – Not previously reported | |
| Percentage | 98% | 100% | N/av – Not previously reported | |
| Contractor security personnel trained in Human Rights policies and procedures | ||||
| Number | 175 | 158 | N/av – Not previously reported | |
| Percentage | 99% | 92% | N/av – Not previously reported | |
| Value of fines or sanctions for non-compliance with laws and regulations (SO8) | $5,000 | $3,352 | $1,277 | $900 |
| Grievances about impacts on society (SO11) | ||||
| Number filed through formal grievance mechanisms | 67 | 78 | 110 | N/av |
| Number addressed during reporting period | 67 | 78 | 110 | N/av |
| Number resolved during reporting period | 65 | 67 | 103 | N/av |
| Number filed prior to the reporting period that were resolved during the reporting period | 6 | 32 | N/av | N/av |
| Number of other concerns66. This line is the formal complaints from communities; allows transparency of concerns raised which are outside of the definition of “grievance”. | 78 | 704 | 109 | |
| Environment (EN34) | 4 | N/av – See above | ||
| Labour and commercial practices (LA16)77. Filed through a community grievance process; does not include grievances covered under a collective bargaining agreement. | 54 | N/av – See above | ||
| Resettlement/livelihood | 2 | N/av – See above | ||
| Human rights | 1 | N/av – See above | ||
| Other | 6 | N/av – See above | ||
| Closure plans (MM10) | ||||
| Total number of operations | 7 | 8 | N/av | N/av |
| Number of company operations that have closure plans | 1088. Three “extra” because TL, Chisel and Britannia (MBU) are closed but infrastructure continues to be used at these sites. | 10 | 6 | 7 |
| Percentage of total operations that have closure plans | 125%99. Over 100% because there are three additional closure plans for non-operating sites at our Manitoba Business Unit where infrastructure continues to be used. | 125% | 100% | 100% |
| Number of advanced exploration projects that have closure plans | 0 | 1 | 4 | 3 |
| Percentage of advanced exploration projects that have closure plans | N/ap | 100% | 100% | 100% |
| Overall financial provision representing the present value of future cash flows relating to estimated closure costs per Canadian generally accepted accounting principles (in $000s) | $147,027 | $185,395 | $141,566 | $157,675 |
- An employee in Manitoba filed a harassment complaint against a co-worker. Hudbay and the Mines Inspector investigated and the complaint was not substantiated. The complainant subsequently filed a Human Rights Complaint and it is still going through the process. This number may be revised pending the outcome of that process.
- Same numbers as last year because this is a multi-year process. These are the same 36 households/150 people as we reported last year; some were resettled during the 2014 calendar year, some during the 2015 calendar year.
- Added to reflect G4 reporting guidelines. SO4 was not broken down into these subsections in reporting years prior to 2014; therefore, data for the two previous years is not available (N/av).
- Governance bodies (Board of Directors) are only in Toronto, Canada, and therefore other regions were excluded.
- Our largest employee-based location did not provide details, so this information applies only to Peru and Arizona.
- This line is the formal complaints from communities; allows transparency of concerns raised which are outside of the definition of “grievance”.
- Filed through a community grievance process; does not include grievances covered under a collective bargaining agreement.
- Three “extra” because TL, Chisel and Britannia (MBU) are closed but infrastructure continues to be used at these sites.
- Over 100% because there are three additional closure plans for non-operating sites at our Manitoba Business Unit where infrastructure continues to be used.
Environment
| 2015 | 2014 | 2013 | 2012 | |
|---|---|---|---|---|
| Direct energy consumption by primary energy source (terajoules) (EN3) | ||||
| Heavy oil | 0 | 0 | 0 | 0 |
| Propane | 629 | 700 | 580 | 578 |
| Natural gas | 0 | 0 | 0 | 0 |
| Diesel | 2,034 | 1,993 | 1,346 | 475 |
| Light oil | 0 | 4 | 6 | 5 |
| Gasoline | 11 | 12 | 11 | 9 |
| Biofuel | 0 | 0 | 0 | 0 |
| Ethanol | 0 | 0 | 0 | 0 |
| Hydrogen | 0 | 0 | 0 | 0 |
| Other | 1 | 0 | 0 | 0 |
| Total | 2,675 | 2,709 | 1,943 | 1,067 |
| Indirect energy consumption by primary energy source (terajoules) | ||||
| Total electricity consumed | 4,936 | 3,322 | 3,048 | 3,127 |
| Indirect energy sold/credit (terajoules) | ||||
| Electricity | 0.4 | N/av | N/av | N/av |
| Total indirect energy consumed by organization (terajoules) | 4,936 | N/av | N/av | N/av |
| Energy intensity (terajoules per kilotonne of metal in concentrate) (EN5) | 30.9 | 50.2 | 42.9 | 34.8 |
| Total direct and indirect greenhouse gas emissions (kilotonnes of CO2-equivalent) | ||||
| Direct carbon dioxide emissions (EN15) | 188.08 | 182.28 | 133.26 | 71.52 |
| Indirect carbon dioxide emissions (EN16) | 267.22 | 6.91 | 4.84 | 4.60 |
| Total | 455.30 | 189.19 | 138.10 | 76.12 |
| GHG intensity (EN18) | 1.82 | 1.57 | 1.19 | 0.63 |
| Emissions of ozone-depleting substances (kg) (EN20) | 0.0 | 0.0 | 0.0 | 850.5 |
| NOx, SOx and other significant air emissions (in kilotonnes)11. NOx emissions are not tracked as the government of Canada does not consider the mining sector to be significant emitters of NOx. Particulate from stack emissions is directly measured and converted to site-specific emission factors. Road dust emissions are calculated using Environment Canada’s Unpaved Industrial Road Calculator. (EN21) | ||||
| Sulphur dioxide emissions | 0.0 | 0.0 | 0.0 | 0.00 |
| Particulate | 0.1622. The large change in particulate matter released is due to a number of reasons across our business units, including: 1) A recalculation of road dust at Lalor resulted in increases in particulate matter emissions; 2) In Flin Flon, ore haul has moved from a longer paved road to a shorter unpaved one, doubling the road dust at the site; 3) Methodologies required to calculate particulate matter in Arizona are different. |
0.17 | 0.16 | 0.04 |
| Total water withdrawal (000 cubic metres) (EN8) | ||||
| Surface water | 11,549 | 11,287 | 10,789 | 10,687 |
| Ground water | 2,69833. 87% of groundwater withdrawn in Arizona is reused. | 930 | 441 | 367 |
| Rainwater collected directly and stored by the organization | 7,16844. During 2015, the TMF increases its capacity in 260%, and 2015 was a humid year (more precipitation) in comparison with 2014. | 4,048 | N/av | N/av |
| Waste water from another organization | 0 | N/av | N/av | N/av |
| Municipal water supplies | 0 | 1 | 0.01 | 0.06 |
| Total water withdrawal | 21,415 | 16,266 | 11,230 | 11,054 |
| Percentage and total volume of water recycled and reused (EN10) | ||||
| Total volume (megalitres) | 16,944.37 | N/av | N/av | N/av |
| Percentage | 7.91% | N/av | N/av | N/av |
| Total water discharged (000 cubic metres) (EN22)55. Water discharged from the Tom Valley exploration property is not reported. | ||||
| To Flin Flon Creek/Ross Lake/Schist Lake | 10,546 | 10,819 | 12,418 | 12,906 |
| To Anderson Creek/Wekusko Lake | 4,594 | 3,939 | 4,180 | 3,626 |
| To Woosey Creek/Morgan Lake | 1,106 | 1,184 | 1,123 | 1,368 |
| Town of Snow Lake Sewer66. As of 2014, we were able to discharge our grey water from our Lalor construction camp located in the Town of Snow Lake directly to the town’s newly upgraded wastewater treatment plant. | 0 | 8 | N/ap | N/ap |
| To ground | 217 | 187 | 35 | N/ap |
| To Oswegatchie River in New York | N/ap | 3,013 | 1,972 | 1,777 |
| To land (irrigation using treated water in Peru) | 0 | 0 | 139 | 10 |
| To Chilloroya River (Peru) | 2,623 | 737 | N/ap | N/ap |
| Water treated (000 cubic metres) | 19,086 | 19,887 | 19,867 | 19,687 |
| Total number of significant spills (EN24) | 9 | 12 | 5 | 3 |
| Volume (m3) | 382.0 | 103.0 | 3.8 | 1.5 |
| Hazardous waste disposed of at external facility (tonnes) (EN25) | 1,508.577. Increase due to Peru: 51% waste oil and cooking oil, 23% treatment plant sludge, 9% hydrocarbon impregnated waste. | 658.5 | 522.3 | 2,763.0 |
| Total waste (tonnes) (MM3) | ||||
| Overburden | N/av | N/av | N/av | N/av |
| Waste rock | 42,764,760.0 | N/av | N/av | N/av |
| Tailings | 24,780,081.6 | N/av | N/av | N/av |
| Number of fines or sanctions for non-compliance with environmental laws and regulations (EN29) | 0 | 0 | 0 | 0 |
| Land use (hectares) – Mineral tenure (controlled) (MM1) | ||||
| Manitoba | 137,832.4 | 135,068.4 | 226,679.4 | 219,386.4 |
| Saskatchewan | 135,352.1 | 139,316.2 | 136,887.5 | 145,757.5 |
| Ontario | 0.0 | 0.0 | 0.0 | 0.0 |
| Yukon | 5,823.4 | 5,823.4 | 5,823.4 | 5,823.4 |
| Nunavut | 21.0 | 21.0 | 21.0 | 21.0 |
| Total Canada | 279,028.9 | 280,229.0 | 369,411.2 | 370,988.3 |
| New York | 0.0 | 31,532.3 | 31,570.2 | 31,590.4 |
| Michigan | 0.0 | 0.0 | 3,161.8 | 3,141.1 |
| Arizona | 7,284.0 | 0.0 | N/ap | N/ap |
| Total USA | 7,284.0 | 31,532.3 | 34,732.0 | 34,731.5 |
| Chile | 1,531.0 | 1,531.0 | 1,531.0 | 1,531.0 |
| Colombia | 0.0 | 0.0 | 5,210.8 | 5,210.8 |
| Peru | 43,669.5 | 32,369.5 | 26,932.5 | 22,532.5 |
| Total South/Central America | 45,200.5 | 33,900.5 | 33,674.3 | 29,274.3 |
| Total | 331,513.3 | 345,661.8 | 437,817.5 | 434,994.1 |
| Land use (hectares) – Surface tenure (disturbed) | ||||
| Manitoba | 7,314.1 | 6,130.3 | 6,115.8 | 6,083.0 |
| Saskatchewan | 535.2 | 744.5 | 744.5 | 928.7 |
| Ontario | 0.0 | 0.0 | 0.0 | 0.0 |
| Yukon | 120.7 | 120.7 | 120.7 | 120.7 |
| Nunavut | 0.0 | 0.0 | 0.0 | 0.0 |
| Total Canada | 7,969.9 | 6,995.5 | 6,981.0 | 7,132.4 |
| New York | 0.0 | 57.7 | 57.7 | 57.7 |
| Michigan | 0.0 | 0.0 | 571.0 | 550.3 |
| Arizona | 0.0 | 0.0 | N/ap | N/ap |
| Total USA | 0.0 | 57.7 | 628.7 | 608.0 |
| Chile | 0.0 | 0.0 | 0.0 | 0.0 |
| Colombia | 0.0 | 0.0 | 0.0 | 0.0 |
| Peru | 5,187.0 | 5,187.0 | 4,225.8 | 3,774.2 |
| Total South/Central America | 5,187.0 | 5,187.0 | 4,225.8 | 3,774.2 |
| Total | 13,156.9 | 7,053.2 | 11,835.5 | 11,514.6 |
| Percent land used vs. controlled | 4.0% | 2.3% | 2.7% | 2.6% |
| Sites requiring biodiversity management plans (MM2/EN12) | ||||
| Number of sites legally requiring plans | 1 | 0 | 0 | N/av |
| Percentage of sites with plans in place | 100% | N/ap | N/ap | N/av |
| Number of sites with voluntary plans in place | 1 | 1 | 2 | N/av |
| Habitats protected or restored (hectares) (EN13) | ||||
| Protected | 0 | 0 | 0 | 0 |
| Restored | 0.62 | 2 | 22.8 | 11.5 |
| Partnerships exist | Yes | N/av | N/av | N/av |
| Status at close of reporting period | Monitoring | N/av | N/av | N/av |
| IUCN Red List species and National Conservation List species (EN14) |
||||
| Critically endangered | 3 | N/av | N/av | N/av |
| Endangered | 8 | N/av | N/av | N/av |
| Vulnerable | 14 | N/av | N/av | N/av |
| Near threatened | 9 | N/av | N/av | N/av |
| Least concern | 6 | N/av | N/av | N/av |
- NOx emissions are not tracked as the government of Canada does not consider the mining sector to be significant emitters of NOx. Particulate from stack emissions is directly measured and converted to site-specific emission factors. Road dust emissions are calculated using Environment Canada’s Unpaved Industrial Road Calculator.
- The large change in particulate matter released is due to a number of reasons across our business units, including:
1) A recalculation of road dust at Lalor resulted in increases in particulate matter emissions;
2) In Flin Flon, ore haul has moved from a longer paved road to a shorter unpaved one, doubling the road dust at the site;
3) Methodologies required to calculate particulate matter in Arizona are different. - 87% of groundwater withdrawn in Arizona is reused.
- During 2015, the TMF increases its capacity in 260%, and 2015 was a humid year (more precipitation) in comparison with 2014.
- Water discharged from the Tom Valley exploration property is not reported.
- As of 2014, we were able to discharge our grey water from our Lalor construction camp located in the Town of Snow Lake directly to the town’s newly upgraded wastewater treatment plant.
- Increase due to Peru: 51% waste oil and cooking oil, 23% treatment plant sludge, 9% hydrocarbon impregnated waste.