Note: all environmental metrics reported in metric units (i.e. 1 tonne = 1,000 kg), all 2022 emission data rounded to three decimal places. Please see below for calculation methodologies and high-level assumptions.
| Metric Unit | 2022 | 2021 | 2020 | 2019 | Notes | |
| Greenhouse gas emissions (WTW) | ||||||
| CO2e Scope 1 | ||||||
| Company cars | million tonnes | 0.021 | 0.018* | 0.02 | 0.03 | |
| Road Logistics (own trucks) | million tonnes | 0.116 | 0.094* | 0.12 | 0.08 | Includes use of HVO |
| Buildings: fuel (incl. gas) | million tonnes | 0.044 | 0.048* | – | – | Gas was reallocated to scope 1 for 2021 |
| Total Scope 1 | million tonnes | 0.181 | 0.160 | 0.14 | 0.11 | |
| CO2e Scope 2(location-based) | ||||||
| Buildings: electricity | million tonnes | 0.038 | 0.080* | 0.17 | 0.20 | For 2022, RECs were used to balance emissions |
| Total scope 1+2 | million tonnes | 0.219 | 0.240* | 0.31 | 0.31 | |
| CO2e Scope 3 | ||||||
| Transport and logistics (Scope 3, category 4) comprising of: | million tonnes | 13.982 | 16.4 | 12.9 | 16.6 | Limited assurance by DNV for Scope 3, category 4 for 2022 data |
| ■ Sea Logistics | million tonnes | 5.227 | – | – | – | Limited assurance by DNV for Scope 3, category 4 for 2022 data |
| ■ Air Logistics | million tonnes | 7.074 | – | – | – | Limited assurance by DNV for Scope 3, category 4 for 2022 data |
| ■ Road Logistics | million tonnes | 1.681 | – | – | – | Limited assurance by DNV for Scope 3, category 4 for 2022 data |
| Business travel | million tonnes | 0.011 | 0.005* | 0.2 | 1.2 | |
| Employee commuting | million tonnes | 0.013 | 0.008* | 0.011 | 0.3 | |
| CO2e scope 3 ‘gross’ emissions | million tonnes | 14.006 | 16.4* | 13.2 | 18.1 | |
| Scope 3 CO2e reduction through the purchase of sustainable fuels comprising of | million tonnes | 0.057 | NA | NA | NA | Emission reductions only integrated from 2022 onwards. |
| ■ SAF | million tonnes | 0.038 | Based on sustainable fuels purchased | |||
| ■ Maritime biofuel | million tonnes | 0.019 | Based on sustainable fuels purchased | |||
| CO2e scope 3 ‘net’ emissions | million tonnes | 13.949 | 16.7 | 13.5 | 18.4 | |
| Total CO2e emissions | million tonnes | 14.168 | 16.7* | 13.5 | 18.4 | including the use of purchased sustainable fuels |
| Sustainable fuels purchased | ||||||
| Air Logistics (SAF) | 000’ litres | 13,978 | 4,985* | – | – | 2021 restated to litres purchased. Most SAF from subsidised sources |
| Sea Logistics (SMF) | tonnes | 6,750 | 500 | – | – | |
| Road Logistics Scope 1 (HVO) | 000’ litres | 589 | – | – | – | ** |
| Emission intensity (Scope 2) | ||||||
| CO2e total (reference value) | 000’ tonnes | 61 | 128 | 173 | 201 | Reference value based on electricity consumption (excl. emission reductions via RECs) |
| CO2e per FTE | tonnes/FTE | 1.3 | 1.6 | 2.1 | 2.7 | |
| CO2e per 100 m2 | tonnes/100 m2 | 1.1 | 1.4 | 1.7 | 2.3 | |
| Energy consumption within the organisation | ||||||
| Electricity consumption total | million kWh | 367 | 371 | 376 | 391 | |
| kWh/FTE | 4,566 | 4,734 | 4,553 | 5,205 | ||
| kWh/100 m2 | 3,788 | 3,922 | 3,815 | 4,496 | ||
| Renewable electricity share | per cent | 99 | 78 | 21 | – | ** |
| Natural gas consumption total | million kWh | 204/span> | 220 | 192 | 201 | |
| kWh/FTE | 2,497 | 2,807 | 2,331 | 2,676 | ||
| kWh/100 m2 | 2,067 | 2,326 | 1,954 | 2,331 | ||
| Total energy consumption | million kWh | 571 | 591 | 568 | 592 | ** |
| Renewable energy share | per cent | 64 | 49 | 14 | – | ** |
| LED coverage | ||||||
| Building area covered by LED lighting | m2 | 5,958,824 | 5,400,000 | 4,800,000 | – | |
| per cent | 76 | 70 | 54 | – | ||
| On–site PV installations | ||||||
| Number of sites | count | 69 | 32 | 23 | – | |
| Output | MWp | 50 | 31 | 25 | – | MWp= MW’peak’, i.e. maximum energy installed capacity |
| Waste | ||||||
| Waste total | 000’ tonnes | 88 | 109* | 209 | 496 | |
| Waste hazardous | 000’ tonnes | 4 | 1* | 21 | 22 | |
| Waste recycled | 000’ tonnes | 51 | 78* | 135 | 332 | |
| Recycling rate | per cent | 58 | 72* | 65 | 67 | |
| Waste recovered | 000’ tonnes | 15 | 10* | 19 | 21 | |
| Waste to landfill | 000’ tonnes | 18 | 20 | 34 | 142 | |
| Water | ||||||
| Water consumption total | megalitres | 678.7 | 773.6 | 890.6 | 965.9 | |
| cubic meters | 678,659 | 773,576 | 890,615 | 965,879 | ||
| cubic metres/100 m2 | 7.3 | 8.1 | 9.0 | 11.0 | ||
| cubic metres/FTE | 9 | 10 | 11 | 13 | ||
| Water consumption reduction | per cent | 30 | 20 | 8 | – |
| Unit | 2022 | 2021 | 2020 | 2019 | Notes | |
| Employees | ||||||
| Total employees at year-end | headcount | 80,334 | 78,087 | 78,249 | 83,161 | |
| Female | per cent | 39.5 | 38.9 | 35.8 | 35.0 | |
| Male | per cent | 60.5 | 61.1 | 64.2 | 65.0 | |
| Female (white–collar) | per cent | 49.5 | 49.6 | 48.3 | 48.1 | |
| Male (white–collar) | per cent | 50.5 | 50.4 | 51.7 | 51.9 | |
| Female (blue–collar) | per cent | 25.4 | 24.3 | 21.0 | 20.4 | |
| Male (blue–collar) | per cent | 74.6 | 75.7 | 79.0 | 79.6 | |
| FTEs of employees at year–end | FTE | 75,194 | 73,516 | 72,021 | 78,448 | |
| FTEs at year–end including temporary staff | FTE | 95,079 | 93,288 | 93,238 | 99,113 | |
| Number of truck drivers | headcount | 1,761 | – | – | – | ** |
| Interns | ||||||
| Number of interns | headcount | 1,705 | 1,494 | – | – | ** |
| increase of interns | per cent | 14 | – | – | – | ** |
| Conversion rate of interns to employment | per cent | 25 | – | – | – | ** |
| Age structure | ||||||
| Under 30 | per cent | 22.6 | 22.5 | 21.0 | 23.0 | |
| Under 30 (female) | per cent | 44.7 | 44.7 | 42.2 | 41.4 | |
| Under 30 (male) | per cent | 55.2 | 55.3 | 57.8 | 58.6 | |
| Between 30-50 | per cent | 58.1 | 58.6 | 58.9 | 56.0 | |
| Between 30-50 (female) | per cent | 40.4 | 39.1 | 36.3 | 35.2 | |
| Between 30-50 (male) | per cent | 59.6 | 60.9 | 63.7 | 64.8 | |
| Over 50 | per cent | 19.3 | 18.9 | 20.2 | 21.0 | |
| Over 50 (female) | per cent | 31.7 | 31.1 | 27.9 | 27.3 | |
| Over 50 (male) | per cent | 68.2 | 68.9 | 72.1 | 72.7 | |
| Representation of women | ||||||
| Top management (men) | headcount | 156 | 155 | 158 | 177 | |
| Top management (women) | headcount | 17 | 16 | 9 | 9 | |
| per cent | 9.8 | 9.4 | 5.4 | 4.8 | ** | |
| Senior management (men) | headcount | 782 | 741 | 835 | 882 | |
| Senior management (women) | headcount | 250 | 222 | 228 | 222 | |
| per cent | 24.2 | 23.1 | 21.4 | 20.1 | ** | |
| Management Board | ||||||
| Male | per cent | 100 | ** | |||
| Female | per cent | – | ** | |||
| Under 30 | per cent | – | ** | |||
| 30–50 | per cent | – | ** | |||
| Over 50 | per cent | 100 | ** | |||
| Board of Directors | ||||||
| Male | per cent | 89 | ** | |||
| Female | per cent | 11 | ** | |||
| Under 30 | per cent | – | ** | |||
| 30–50 | per cent | 11 | ** | |||
| Over 50 | per cent | 89 | ** | |||
| Recruiting structure – applications | ||||||
| White collar | headcount | 604,225 | 749,229 | 391,205 | 308,268 | |
| Blue collar | headcount | 41,597 | 54,268 | 54,572 | 64,465 | |
| Total | headcount | 645,822 | 803,497 | 445,777 | 372,833 | |
| Recruiting structure – hires | ||||||
| White collar | headcount | 10,594 | 10,281 | 4,712 | 7,896 | |
| Blue collar | headcount | 11,226 | 10,821 | 6,192 | 10,189 | |
| Total | headcount | 21,820 | 21,102 | 10,904 | 18,085 | |
| Male | per cent | 58 | – | – | – | ** |
| Female | per cent | 42 | – | – | – | ** |
| Under 30 | per cent | 46.2 | – | – | – | ** |
| 30–50 | per cent | 46.5 | – | – | – | ** |
| Over 50 | per cent | 7.3 | – | – | – | ** |
| Attrition structure | ||||||
| Unwanted attrition (white–collar) | per cent | 10.4 | 10.4 | 6.6 | 8.7 | |
| Total attrition (white–collar) | per cent | 18.7 | 22.1 | 14.9 | 18.0 | |
| Training sessions completed | ||||||
| Online training | count | 567,566 | 474,989 | 281,509 | 191,884 | |
| Live training | count | 130,222 | 79,486 | 69,579 | 105,413 | |
| Total | count | 697,788 | 554,475 | 351,088 | 297,297 | |
| Training participation | ||||||
| Female | per cent | 52.9 | 52.5 | 49.4 | 45.0 | |
| Male | per cent | 47.1 | 47.5 | 50.6 | 55.0 | |
| Manager | per cent | 14.4 | 17.1 | 17.8 | 17.0 | |
| Employee | per cent | 85.6 | 82.9 | 82.2 | 83.0 | |
| Average hours of training n | ||||||
| White–collar | hours | 19.1 | – | – | – | ** |
| Safety and health facts | ||||||
| Number of fatalities (FAT) Note: (x) related to 3rd party accident | count | 0 (1) | 1 (1) | 1 (2) | 1 (3) | |
| Lost time injury frequency (LTIF) | 8.8 | 10.24 | 10.80 | 13.22 | ||
| Total reportable case frequency (TRCF) | 8.8 | 13.33 | 14.40 | 17.66 | ||
| Lost workday cases (LWC) | 1,468 | 1,688 | 1,834 | 2,434 | ||
| Lost workday (LWD) | 29,351 | 30,581 | 32,067 | 41,733 | ||
| Unsafe act/unsafe condition | 63,730 | 44,302 | 36,271 | 43,522 | ||
| Reported HSE violations | count | 0 | 4 | NA | NA |
* restatement of information
** new disclosure/KPI (not present in 2021)
In line with the Swiss Association for Responsible Investment’s (SVVK-ASIR) aim to provide services to its members that enable them to act responsibly towards the environment, society, and the economy, Kuehne+Nagel reports ‘critical business activities’ on an annual basis. ‘Critical business activities’ are activities in sectors that may potentially jeopardise the aspects of good business practices and are therefore assessed on an annual basis. For the 2022 reporting year, none of the critical business activities reached a threshold of 5 per cent of Kuehne+Nagel’s 2022 revenue.
| Unit | 2022 | 2021 | 2020 | 2019 | |
| Critical business activities | |||||
| Alcohol etc. | per cent of revenue | 0.8 | 0.7 | 1.8 | NA |
| Defence / Weapons | per cent of revenue | 0.8 | 0.8 | 1.3 | NA |
| Tobacco | per cent of revenue | 0.6 | 1.1 | 0.9 | NA |
| Adultery entertainment, coal, firearms, gambling, GMO, nuclear energy, oil sands | per cent of revenue | 0 | NA |
Emissions
For reporting scope 1 and scope 3 CO2e emissions from transport and logistics activities, Kuehne+Nagel is using the GLEC Framework — Smart Freight Centre (SFC) accredited EcoTransIT World software as a core emission calculation tool. The EcoTransIT World methodology includes EN 16258 and GLEC-compliant calculations and is also expected to meet the requirements of ISO 14083. All emission reporting is in line with the GHG Protocol.
The methodology for EcoTransIT is provided by independent scientific institutes (IFEU, INFRAS and Fraunhofer IML) and is continuously updated and validated. EcoTransIT World calculates the transport distances, energy consumption, greenhouse gases CO2 and CO2 equivalents, air pollutants such as Sulfur oxides (Sox), Nitrous oxides (NOx), nonmethane hydrocarbons (NMHC), and particulate matter PM10 (particulate matter with a diameter of 10 micrometres (0.01 mm) or smaller), for global transport chains. For 2022, CO2 equivalents include all greenhouse gases in line with EN 16258 requirements as calculated by EcoTransIT World. Emissions are calculated for activities which Kuehne+Nagel has operational control over unless otherwise stated.
Scope 1 emissions
Scope 1 emissions are emissions from company-controlled sources, including emissions from company cars, company trucks (owned or leased), and fuel consumption for buildings, such as gas for heating and cooling of company-controlled offices and fulfilment centres.
■ Scope 1 emissions from company cars are calculated according to EN 16258
■ Scope 1 emissions for company trucks (owned or leased) are calculated based on fuel consumption and using the EcoTransIT fuel emission factors from the shipment’s country of origin. The reduced emission impact of purchased HVO is already included in the calculation of scope 1 emissions.
■ Scope 1 emissions from fuel consump-tion in buildings are derived from calculating CO2e emissions from actual fuel consumption (gas, oil, and diesel) for heating/cooling, and using the International Energy Agency (IEA) emission factors. 2022 is the first year that direct fuel emissions from buildings were included in Scope 1 emissions but were consequently re-calculated for 2021. For 2019 and 2020, direct emissions from fuel consumption for buildings were included in scope 2 emissions.
Scope 2 emissions
Scope 2 emissions are calculated in accordance with requirements from the GHG Protocol and the International Energy Agency IEA and include emissions generated from purchased electricity for Kuehne+Nagel buildings (owned or leased). Data for scope 2 CO2e emissions are calculated and disclosed based on the location-based approach and managed via the Global Facility Carbon Calculator (GFCC) tool, which captures environmental data for all facilities.
For 2022, scope 2 CO2e emissions include the emission reductions from the purchase of renewable energy certificates (RECs) in compliance with the GHG Protocol and the SBTI. For scope 2 emission intensity metrics (CO2e per 100 m2, CO2e per FTE), data from GFCC are calculated on a monthly basis. The yearly average of the monthly data is then reported in the sustainability report. Due to the monthly calculation, figures for FTE and m2 may deviate from figures presented in the Annual and Sustainability Report showing year-end figures only.
Scope 3 emissions
Scope 3 includes indirect emissions from transporting our customer’s freight via our suppliers (freight forwarding services for sea, air and road logistics), as well as emissions from business travel and employee commuting.
For freight forwarding services in our value chain (scope 3, category 4), routes are split into transport legs, and emissions are calculated for each leg based on shipment data from the Transport Emission Measurement (TEM) system. Calculations are performed using the EcoTransIT methodology and default values (including Clean Cargo values for Sea Logistics), unless more accurate primary data are available and directly passed to EcoTransIT via the TEM.
Emissions included in the calculation are from all shipments that were completed in the reporting year.
Due to recent mergers and acquisitions, the data presented cover approximately 90% of road shipments and 80% of air logistics shipments.
In addition, Kuehne+Nagel calculates emission reductions from sustainable fuel purchases in the year of purchase (SAF, maritime biofuels) and treats the use of sustainable fuel as emission reduction for reporting purposes (compared to using conventional fuel types). The metric ‘CO2e Scope 3 ‘net’ emissions’ therefore includes the deployment of purchased sustainable fuels for scope 3.
‘Total CO2e emissions (scope 1,2,3 ‘net’)’ calculates company emissions using scope 1 and 2 emissions, and ‘net emissions’ for scope 3. The overall figure includes emission reductions from HVO (scope 1), the use of Renewable Energy Certificates for scope 2, and the use of maritime biofuels and sustainable aviation fuel for scope 3.
In addition, following assumptions have been made in the respective modes of transport:
■ Air Logistics: noteworthy for air logistics emission reporting is the fact that emission calculations do not consider the radioactive forcing index (RFI). The RFI considers the higher global warming potential from emissions at higher altitudes and is particularly relevant for the aviation sector. However, in the absence of global standards and frameworks and considering that the inclusion of the RFI for the calculation of CO2e emissions for air traffic is not compliant with the European standard EN 16258, Kuehne+Nagel has not included the RFI in emission calculations yet (but is closely monitoring future developments).
■ Road Logistics: Due to the proprietary fleet in Road Logistics, scope 3 emissions are calculated by subtracting scope 1 (trucks) and 2 emissions (low emission vehicles that use electricity) from the overall emission calculation derived from the EcoTransIT software.
Business travel
Carbon emissions from business travel are produced according to the GHG Protocol Category 6 using the distance-based method. This method involves multiplying activity data (person-kilometers travelled by vehicle type – we considered only air travel) by the respective emission factors (taken from the UK Department for Business, Energy & Industrial Strategy).
Employee commuting
Emissions from employee commuting are calculated according to the GHG Protocol Category 7 using the average-based method. Kuehne+Nagel adopted this method because company-specific data is currently unavailable; therefore, average secondary activity data is used to estimate distance travelled and mode of transport information for calculating employee commuting emissions:
Kuehne+Nagel collects average secondary data from sources such as national transportation departments, national statistics publications, and whenever available industry associations.
Facility Data (Waste, Water, Energy)
Environmental data from facilities is gathered in the Emex Global Facility Carbon Calculator (GFCC) system. The most common use of the Emex GFCC tool is the monthly recording of site data. Sites are encouraged to obtain and enter all available data for normalisers (FTE, facility space, throughput measure). Normaliers are used for reporting purposes. Normalisers are used for reporting purposes allowing the organisation the usage of utilities and CO2e emissions per site. Sites are required to track all parameters where possible using invoices and meter readings.
■ Utilities category: reporting of CO2e emissions within site boundaries
■ The waste and water category tracks inbound waste collected and processed on site as well as water consumption on site.
■ Energy consumption within the organisation considers total electricity and gas consumption within the organisation.
■ Transport category: tracks distance, fuel, efficiency, and costs for company operated vehicles.
Definition of terminology used
■ Sustainable fuels
The term sustainable fuel refers to fuels that do not have a fossil origin and have a considerably lower environmental impact than their fossil-origin counterpart. They are either produced from biomass (such as maritime biofuels and bio-SAF) or synthetically.
■ Renewable energy
As per definition of the GHG protocol, energy is only being considered ‘renewable’, if it is taken from sources that are inexhaustible (e.g. wind, water, solar, geothermal, and biofuels). Therefore, energy derived from sources such as natural gas and LPG is not considered as renewable.
Personnel attrition, unwanted
The Global Human Resources dashboards calculates attrition on a monthly basis, by dividing the number of exits by the number of headcounts in a given month. It also records workforce type (white and blue-collar) and exit reason (wanted or unwanted). The yearly attrition is calculated as a sum of the monthly attrition rates.
Definition of interns
Included in the definition of interns are trainees, intern/working student/post-graduate, as well as apprentice.
Training Hours
((∑ course completions N * course duration + seminar duration)/active headcount). Only hours that lead to course completion and are recorded through our internal platform are included in the final value.
Performance Reviews
Only data for white-collar employees is captured on a global level, with performance reviews for blue-collar employees being handled on a national and local level (and cannot be captured accurately through our systems).
In some cases, information required by GRI is not available on a global level as certain parameters (such as temporary, part-time, and non-guaranteed hours employees) are tracked on a regional/country level instead. We are, however in the process of improving systems and processes to be able to track these parameters more accurately in the future.
Lost Time Incident Frequency (LTIF)
Lost time injuries are defined as work-related injuries resulting in a fatality or lost workday case (LWD), excluding Medical Treatment Cases (MTC) and/or First Aid Cases (FAC). For lost workday cases, incidents incurred by external parties present in our premises are also taken into account.
Incidents are recorded after they occur. Depending on the severity of the incident, reporting to (top) management takes place within 24 hours or every quarter. Internal auditing and due diligence checks are assured the data quality at the national, regional, and global levels. LTIF is recorded as number of LTIs per 1,000,000 working hours over 12-month period.
Total reportable case frequency (TRCF)
TRCF is the sum of injuries resulting in fatalities lost workday cases and medical treatment cases per 1,000,000 working hours.
Fatalities
A death, resulting from a work-related injury or illness regardless of the time intervening between the incident causing the injury or exposure or causing illness and the death.
Lost Workday (LWD)
The total number of calendar days on which the injured person was temporarily unable to work as a result of a Lost Workday Case (LWC).
Lost Workday Cases (LWC)
Any work-related injury that renders the injured person temporarily unable to perform their normal work on any day after the day on which the injury occurred. Any day includes rest day, weekend day, scheduled holiday, public holiday or subsequent day after ceasing employment. LWC’s are also counted for temporary workers, working in our premises
Violations
Number of cases where Kuehne+Nagel has received a violation resulting in any regulatory sanction by an enforcement authority for breach of any health and safety/dangerous goods regulations.
Temporary workers
When working for Kuehne+Nagel in premises that Kuehne+Nagel are responsible for and that are under supervision/direction of the company, the health and safety KPI’s apply to full-time and part-time temporary workers as well.