2018 Social Responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Buildings emissions (Scope 1) | ton CO2 | 4616 | 4651 | 4498 | 55 |
| CO2 emissions savings from connection to district heating network at Pianacastagnaio industrial site, Tuscany | tons of CO2 per year | 100 | 52 | ||
| CO2 emissions savings from new high-efficiency heating systems in Tuscany and Milan | tons of CO2 per year | 200 | 52 | ||
| Direct emissions (Scope 1) | ton CO2 | 5431 | 5456 | 5035 | 55 |
| Energy - indirect emissions (Scope 2) - Location-based | ton CO2 | 66858 | 64726 | 60835 | 55 |
| Energy - indirect emissions (Scope 2) - Market-based | ton CO2 | 75268 | 56160 | 42813 | 55 |
| Means of transport (owned) emissions (Scope 1) | ton CO2 | 815 | 806 | 537 | 55 |
| Other indirect emissions (Scope 3) - Means of transport (leasing) | ton CO2 | 2443 | 2381 | 2090 | 55 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Recycled or certified paper share of packaging consumption | 82% | 84% | 85% | 54 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Diesel and kerosene consumption | L | 1290361 | 1203669 | 980924 | 54 |
| Electricity consumption | MWh | 153389 | 148881 | 143567 | 54 |
| Gas consumption | m³ | 2361125 | 2367905 | 2281135 | 54 |
| Number of multi-meters installed in industrial sites, offices and stores | multi-meters | 300 | 53 | ||
| Photovoltaic system expected annual output at Prada Group (rooftop panels) | kWh per year | 2500000 | 52 | ||
| Photovoltaic system share of total industrial consumption covered | percent | 10 | 52 | ||
| Photovoltaic system total installed power at Prada Group (rooftop panels) | megawatts | 2.2 | 52 | ||
| Purchased electricity consumption | MWh | 153049 | 148108 | 142154 | 54 |
| Self-produced photovoltaic electricity consumption | MWh | 339 | 773 | 1413 | 54 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Direct energy savings from LED lighting (Relamping Project) | percent | 70% | 53 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Other paper share of packaging consumption | 18% | 16% | 15% | 54 | |
| Packaging consumption | tons | 3460 | 3437 | 3960 | 54 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Investments | Million € | 284 | 12 |
| Number of LEED Gold certifications achieved for stores and plant | certifications | 9 | 53 |
| Total number of LEED certifications attained by the Group | certifications | 19 | 53 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Corporate division employees by gender (Female) | percent | 54% | 55% | 57% | 27 |
| Corporate division employees by gender (Male) | percent | 46% | 45% | 43% | 27 |
| DOS at December 31 | 634 | 12 | |||
| Economic value distributed to stakeholders | Million € | 2901 | 12 | ||
| Employees at December 31 | 13556 | 12 | |||
| Employees by gender - Female | 62% | 62% | 62% | 25 | |
| Employees by gender - Male | 38% | 38% | 38% | 25 | |
| Employees per age range - 30 to 50 | 56% | 56% | 55% | 25 | |
| Employees per age range - over 50 | 19% | 19% | 19% | 25 | |
| Employees per age range - under 30 | 25% | 25% | 26% | 25 | |
| Executives and Managers Female 30-50 | % | 0.4 | 0.5 | 0.4 | 26 |
| Executives and Managers Female over 50 | % | 0.1 | 0.1 | 0.1 | 26 |
| Executives and Managers Female under 30 | % | 0.2 | 0.3 | 0.3 | 26 |
| Executives and Managers Male 30-50 | % | 1.3 | 1.1 | 1 | 26 |
| Executives and Managers Male over 50 | % | 1.2 | 0.4 | 1.1 | 26 |
| Executives and Managers Male under 30 | % | 0.2 | 0.5 | 0.2 | 26 |
| Executives and Managers by gender (Female) | percent | 54% | 55% | 56% | 27 |
| Executives and Managers by gender (Male) | percent | 46% | 45% | 44% | 27 |
| Full-time Employees as % of Total Workforce | % | 98 | 26 | ||
| Industrial division employees by gender (Female) | percent | 59% | 59% | 59% | 27 |
| Industrial division employees by gender (Male) | percent | 41% | 41% | 41% | 27 |
| Industrial sites at December 31 | 22 | 12 | |||
| Labor Female 30-50 | % | 5.8 | 5.7 | 5.5 | 26 |
| Labor Female over 50 | % | 1.4 | 1.7 | 1.9 | 26 |
| Labor Female under 30 | % | 0.9 | 1.2 | 1.4 | 26 |
| Labor Male 30-50 | % | 11.8 | 11.9 | 11.9 | 26 |
| Labor Male over 50 | % | 4.5 | 4.5 | 4.2 | 26 |
| Labor Male under 30 | % | 4.5 | 4.7 | 4.9 | 26 |
| Labor employees by gender (Female) | percent | 56% | 56% | 57% | 27 |
| Labor employees by gender (Male) | percent | 44% | 44% | 43% | 27 |
| Number of employees | 12579 | 12844 | 13556 | 25 | |
| Number of technicians employed for quality controls | 290 | 291 | 308 | 39 | |
| Pay gap (median=100%) Executives and Managers Female | percent | 100 | 98 | 99 | 27 |
| Pay gap (median=100%) Executives and Managers Male | percent | 97 | 103 | 104 | 27 |
| Pay gap (median=100%) Labor Female | percent | 102 | 97 | 99 | 27 |
| Pay gap (median=100%) Labor Male | percent | 95 | 102 | 102 | 27 |
| Pay gap (median=100%) Staff Female | percent | 101 | 91 | 98 | 27 |
| Pay gap (median=100%) Staff Male | percent | 97 | 104 | 104 | 27 |
| Permanent Employees Female | % | 61 | 61 | 62 | 26 |
| Permanent Employees Male | % | 39 | 39 | 38 | 26 |
| Retail division employees by gender (Female) | percent | 64% | 64% | 64% | 27 |
| Retail division employees by gender (Male) | percent | 36% | 36% | 36% | 27 |
| Staff Female 30-50 | % | 4.5 | 13.7 | 10.5 | 26 |
| Staff Female over 50 | % | 1.3 | 2.3 | 2.3 | 26 |
| Staff Female under 30 | % | 1.8 | 2.6 | 4.4 | 26 |
| Staff Male 30-50 | % | 5.3 | 11.7 | 11.6 | 26 |
| Staff Male over 50 | % | 1.7 | 7.4 | 7.9 | 26 |
| Staff Male under 30 | % | 2.3 | 3.6 | 4.6 | 26 |
| Staff employees by gender (Female) | percent | 64% | 65% | 65% | 27 |
| Staff employees by gender (Male) | percent | 36% | 35% | 35% | 27 |
| Total Permanent Employees | 11886 | 26 | |||
| Women at December 31 | 62% | 12 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Injury rate (number of accidents/hours worked x 1000000) - Italian industrial sites | 11.02 | 11.34 | 32 | ||
| Injury rate (number of accidents/hours worked x 1000000) - Italy, France and United Kingdom industrial sites | 10.47 | 32 | |||
| Injury rate at Italy level - female employees | 15.16 | 32 | |||
| Injury rate at Italy level - total | 10.74 | 32 | |||
| Occupational disease rate (Italy, female employees) | 0.25 | 32 |
Lost days due to work injury.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Gravity rate (Italy) | 0.21 | 32 | |||
| Lost day rate (days lost for accidents/hours to be worked x 1000) - Italian industrial sites | 0.21 | 0.29 | 32 | ||
| Lost day rate (days lost for accidents/hours to be worked x 1000) - Italy, France and United Kingdom industrial sites | 0.22 | 32 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Number of non-compliance cases with health and safety regulations | 1 | 39 | ||
| Number of people trained in safety (Italy) | people | 1813 | 32 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Total training participants | 19972 | 30 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Average number of training hours per employee by gender - Female | hours | 3.33 | 7.34 | 7.46 | 30 |
| Average number of training hours per employee by gender - Male | hours | 3.93 | 5.95 | 5.94 | 30 |
| Average number of training hours per employee worldwide | hours | 3.56 | 6.8 | 6.88 | 30 |
| Total training hours provided | hours | 93292 | 30 |
Number of suppliers by geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Fabrics purchased | Meter | 2427703 | 3673886 | 4015597 | 37 |
| Leather purchased | Feet | 20319996 | 28301004 | 29122490 | 37 |
| Percentage of leather purchased from Europe (excluding Italy) | 8% | 37 | |||
| Percentage of leather purchased from Italy | 75% | 37 | |||
| Percentage of leather purchased from rest of the world | 17% | 37 | |||
| Shoes' soles purchased | Pair | 941903 | 1098684 | 1385657 | 37 |
| Yarns purchased | Kilo | 91995 | 179221 | 218000 | 37 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Coverage of all industrial, engineering and logistics suppliers by compliance procedure | percent | 80 | 39 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Proactive level of RSL (Restricted Substances List) coverage for purchase volumes | percent | 72 | 39 | ||
| Proactive level of RSL (Restricted Substances List) coverage for purchase volumes relating to Prada’s industrial suppliers | percent | 92 | 96 | 39 | |
| Proactive level of RSL (Restricted Substances List) coverage for work performed in Prada Group’s production sites | percent | 100 | 39 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Percentage of Italian leather purchased from Arzignano | 40% | 37 | |
| Percentage of Italian leather purchased from Santa Croce | 47% | 37 | |
| Percentage of Italian leather purchased from Solofra | 8% | 37 | |
| Percentage of Italian leather purchased from other locations | 5% | 37 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Revenues | Billion € | 3.1 | 12 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of non-compliance cases with information and/or labeling requirements in China | 2 | 39 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Total fines for non-compliance with information and/or labeling requirements in China | Euro | 4000 | 39 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Economic Value Distributed | Euro/1000 | 2925740 | 2885678 | 2901378 | 13 |
| Economic Value Generated | Euro/1000 | 3190896 | 3062866 | 3152185 | 13 |
| Economic Value Retained | Euro/1000 | 265155 | 177188 | 250807 | 13 |
| Investments in the community | Million € | 2.6 | 12 | ||
| Value distributed to Banks and Bond Holders | Euro/1000 | 17293 | 16876 | 17608 | 13 |
| Value distributed to Government Authorities | Euro/1000 | 95647 | 85156 | 95184 | 13 |
| Value distributed to Investors | Euro/1000 | 282180 | 308073 | 197641 | 13 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Operating costs | Euro/1000 | 1831423 | 1753276 | 1839685 | 13 |
| Value distributed to Employees | Euro/1000 | 677144 | 676759 | 725230 | 13 |
| Value distributed to the Community | Euro/1000 | 22053 | 25538 | 26030 | 13 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | ton CO2 | 5431 | 5456 | 5035 |
| Indirect Energy Emissions (Scope 2) | ton CO2 | 66858 | 64726 | 60835 |
| Mobile Combustion Emissions | ton CO2 | 815 | 806 | 537 |
| Total GHG Emissions | ton CO2 | 74732 | 72563 | 67960 |
| Total Other Indirect Energy Emissions (Scope 3) | ton CO2 | 2443 | 2381 | 2090 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Diesel Fuel Consumption | L | 1290361 | 1203669 | 980924 |
| Natural Gas Consumption | m³ | 2361125 | 2367905 | 2281135 |
| Purchased Electricity | MWh | 153049 | 148108 | 142154 |
| Solar Energy | MWh | 339 | 773 | 1413 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | percent | 70 |
| Energy Consumption Reduction Compared to Last Year | tons of CO2 per year |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Packaging Materials Consumed | tons | 3460 | 3437 | 3960 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Investment in Ecological Restoration | Million € | 284 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Total Employees | 12579 | 12844 | 13556 | |
| Percentage of Employees Aged 30-50 | % | 56 | 56 | 55 |
| Percentage of Employees Aged Above 50 | % | 19 | 19 | 19 |
| Percentage of Employees Aged Below 30 | % | 25 | 25 | 26 |
| Percentage of Female Employees | % | 62 | 62 | 62 |
| Percentage of Full-time Employees | % | 98 | ||
| Percentage of Male Employees | % | 38 | 38 | 38 |
Lost days due to work injury.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | 0.21 | 0.29 | 0.22 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of People Receiving Training on Work Safety | people | 1813 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | 3.33 | 7.34 | 7.46 |
| Average Training Hours (Male) | hours | 3.93 | 5.95 | 5.94 |
| Average Training Hours per Employee | hours | 3.56 | 6.8 | 6.88 |
| Total Training Hours | hours | 93292 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Total Social Investment | Euro | 22053000 | 25538000 | 26030000 |