Environment
As at 31 December 2023
Environment Metrics
| Description of Metric | Unit of Measurement | 2023 | 2022 | 2021 |
| Emissions | ||||
| GHG Emissions | ||||
| Total Scope 1 Emissions | Tonnes ('000) | 1,413.98 | 1,265.45 | 1,355.99 |
| Total amount of Carbon Dioxide (CO2) emitted | Tonnes ('000) | 1,402.91 | 1,255.97 | 1,345.57 |
Owned Fleet | Tonnes ('000) | 205.58 | 710.28 | 936.15 |
India Fleet | Tonnes ('000) | 650.37 | 215.95 | 104.26 |
TC-in Fleet | Tonnes ('000) | 546.96 | 329.74 | 305.16 |
| Total amount of Methane (CH4) emitted | CO2-eq tonnes ('000) | 0.40 | 0.37 | 0.22 |
Owned Fleet | CO2-eq tonnes ('000) | 0.28 | 0.29 | 0.15 |
India Fleet | CO2-eq tonnes ('000) | 0.03 | 0.03 | 0.02 |
TC-in Fleet | CO2-eq tonnes ('000) | 0.09 | 0.05 | 0.05 |
| Total amount of Nitrous Oxide (N2O) emitted | CO2-eq tonnes ('000) | 10.67 | 9.11 | 10.20 |
Owned Fleet | CO2-eq tonnes ('000) | 5.10 | 5.32 | 7.11 |
India Fleet | CO2-eq tonnes ('000) | 1.47 | 1.51 | 0.78 |
TC-in Fleet | CO2-eq tonnes ('000) | 4.10 | 2.27 | 2.31 |
| Total Scope 2 Emissions | CO2-eq tonnes ('000) | 0.04 | 0.07 | 0.07 |
Office Emission - Singapore | CO2-eq tonnes ('000) | 0.01 | 0.01 | 0.01 |
Office Emission - Oslo | CO2-eq tonnes ('000) | 0.02 | 0.05 | 0.03 |
Office Emission - Madrid | CO2-eq tonnes ('000) | 0.01 | 0.01 | 0.03 |
| Other Emissions | ||||
| Total amount of Nitrogen Oxide (NOx) emitted | Tonnes ('000) | 34.11 | 29.21 | 37.57 |
Owned Fleet | Tonnes ('000) | 13.12 | 13.99 | 26.15 |
India Fleet | Tonnes ('000) | 5.74 | 6.03 | 2.91 |
TC-in Fleet | Tonnes ('000) | 15.25 | 9.19 | 8.51 |
| Total amount of Sulphur Oxide (SOx) emitted | Tonnes ('000) | 7.53 | 5.78 | 4.08 |
Owned Fleet | Tonnes ('000) | 2.80 | 3.69 | 2.67 |
India Fleet | Tonnes ('000) | 0.60 | 0.36 | 0.30 |
TC-in Fleet | Tonnes ('000) | 4.13 | 1.73 | 1.11 |
| Total amount of Particulate Matter (PM10) emitted | Tonnes ('000) | 2.19 | 1.88 | 2.59 |
Owned Fleet | Tonnes ('000) | 0.71 | 0.80 | 1.77 |
India Fleet | Tonnes ('000) | 0.41 | 0.43 | 0.21 |
TC-in Fleet | Tonnes ('000) | 1.07 | 0.65 | 0.61 |
| Carbon Intensity Index | ||||
| Energy Efficiency Design Index (EEDI) | g CO₂ / (tonne ⋅ nm) | 5.1 | N/A | N/A |
| Energy Efficiency Operation Index (EEOI) | g CO₂ / (tonne ⋅ nm) | 16.3 | 17.4 | 17.6 |
Owned Fleet | g CO₂ / (tonne ⋅ nm) | 15.6 | 16.3 | 17.9 |
India Fleet | g CO₂ / (tonne ⋅ nm) | 27.1 | 21.3 | 20.0 |
TC-in Fleet | g CO₂ / (tonne ⋅ nm) | 14.7 | 17.7 | 16.4 |
| Annual Efficiency Ratio (AER) | g CO₂ / (tonne ⋅ nm) | 6.6 | 7.2 | 7.2 |
Owned Fleet | g CO₂ / (tonne ⋅ nm) | 6.3 | 6.8 | 7.3 |
India Fleet | g CO₂ / (tonne ⋅ nm) | 7.7 | 8.9 | 7.3 |
TC-in Fleet | g CO₂ / (tonne ⋅ nm) | 6.6 | 7.1 | 6.9 |
| Carbon Intensity Index (CII) | g CO₂ / (tonne ⋅ nm) | 6.5 | N/A | N/A |
Owned Fleet | g CO₂ / (tonne ⋅ nm) | 6.2 | N/A | N/A |
India Fleet | g CO₂ / (tonne ⋅ nm) | 7.6 | N/A | N/A |
TC-in Fleet | g CO₂ / (tonne ⋅ nm) | 6.6 | N/A | N/A |
| Energy | ||||
| Fleet Fuel Consumption | ||||
| High Sulphur Fuel Oil (HSFO) | Tonnes ('000) | 118.5 | 70.0 | 65.4 |
Owned Fleet | Tonnes ('000) | 35.6 | 47.1 | 44.0 |
India Fleet | Tonnes ('000) | 6.6 | - | - |
TC-in Fleet | Tonnes ('000) | 76.3 | 22.9 | 21.4 |
| Very Low Sulphur Fuel Oil (VLSFO) | Tonnes ('000) | 246.3 | 264.5 | 318.7 |
Owned Fleet | Tonnes ('000) | 104.8 | 121.2 | 215.2 |
India Fleet | Tonnes ('000) | 58.7 | 68.6 | 33.4 |
TC-in Fleet | Tonnes ('000) | 82.9 | 74.7 | 70.1 |
| Low Sulphur Marine Gas Oil (LSMGO) | Tonnes ('000) | 28.8 | 28 | 30.1 |
Owned Fleet | Tonnes ('000) | 14.5 | 18.7 | 23.5 |
India Fleet | Tonnes ('000) | 0.8 | 0.8 | 0.3 |
TC-in Fleet | Tonnes ('000) | 13.5 | 8.5 | 6.3 |
| Liquified Petroleum Gas (LPG) | Tonnes ('000) | 64.5 | 41.9 | 16.2 |
Owned Fleet | Tonnes ('000) | 61.8 | - | - |
India Fleet | Tonnes ('000) | - | - | - |
TC-in Fleet | Tonnes ('000) | 2.6 | - | - |
| Percentage Heavy Fuel Oil (HFO) | Percentage (%) | 59% | 53% | - |
Owned Fleet | Percentage (%) | 49% | 53% | - |
India Fleet | Percentage (%) | 64% | 63% | - |
TC-in Fleet | Percentage (%) | 72% | 49% | - |
| Energy Consumption | ||||
| Total energy consumption within the organisation | Terajoules | 18,765.6 | 16,533.2 | 17,943.8 |
| (1) Energy consumption for vessels | Terajoules | 18,765.3 | 16,532.7 | 17,943.4 |
Owned Fleet | Terajoules | 8,968.5 | 9,873.0 | 12,503.9 |
India Fleet | Terajoules | 2,583.9 | 2,657.8 | 1,367.1 |
TC-in Fleet | Terajoules | 7,212.9 | 4,001.9 | 4,072.4 |
| Renewable fuel consumption | Terajoules | - | - | - |
| Non-renewable fuel consumption | Terajoules | 18,765.3 | 16,532.7 | 17,943.4 |
| (2) Total energy consumption for office | Terajoules | 0.4 | 0.5 | 0.4 |
Office Consumption - Singapore | Terajoules | 0.1 | 0.1 | 0.1 |
Office Consumption - Oslo | Terajoules | 0.1 | 0.4 | 0.3 |
Office Consumption - Madrid | Terajoules | 0.2 | N/A | N/A |
| Ship Recycling and Ecological Impacts | ||||
| Number of vessels recycled | Number | - | - | - |
| Shipping duration in marine protected areas or areas of protected conservation status | Number of travel days | - | - | - |
| (1) Total Exchange | Percentage (%) | 100% | 100% | 100% |
| (2) Total Treatment | Percentage (%) | 100% | 86% | 71% |
Owned Fleet | Percentage (%) | 100% | 95% | 77% |
India Fleet | Percentage (%) | 100% | 63% | 29% |
| Spills and releases to the environment | ||||
| (1) Number of | Number | - | - | - |
| (2) Aggregate volume of | m3 | - | - | - |
| Waste landed ashore | m3 | 940.7 | 1,044.3 | 1,204.5 |
Owned Fleet | m3 | 666.7 | 776.1 | 1127.2 |
India Fleet | m3 | 274.0 | 268.2 | 77.3 |
| Activity Metrics | ||||
| Number of vessels | Number | 45 | 43 | 41 |
Owned Fleet | Number | 20 | 21 | 26 |
India Fleet | Number | 8 | 8 | 7 |
TC-in Fleet | Number | 17 | 14 | 8 |
| Total distance travelled by vessels | Nautical miles ('000) | 3,872 | 3,219 | 3,408 |
Owned Fleet | Nautical miles ('000) | 1,900 | 1,906 | 2,337 |
India Fleet | Nautical miles ('000) | 471 | 466 | 254 |
TC-in Fleet | Nautical miles ('000) | 1,501 | 847 | 817 |
| Operating days | Days | 14,727 | 13,131 | 14,322 |
Owned Fleet | Days | 6,241 | 7,597 | 9,931 |
India Fleet | Days | 2,893 | 2,684 | 1,275 |
TC-in Fleet | Days | 5,593 | 2,850 | 3,116 |
| Deadweight tonnage | Deadweight tonnes ('000) | 2,420 | 2,305 | 2,204 |
Owned Fleet | Deadweight tonnes ('000) | 1,085 | 1,147 | 1,367 |
India Fleet | Deadweight tonnes ('000) | 454 | 454 | 399 |
TC-in Fleet | Deadweight tonnes ('000) | 881 | 704 | 438 |
| Number of vessel port calls | Number | 1,153 | 976 | 1,019 |
Owned Fleet | Number | 439 | 502 | 658 |
India Fleet | Number | 306 | 272 | 173 |
TC-in Fleet | Number | 408 | 202 | 188 |
Comments on Environment Data
Certain prior year data has been recalculated to include additional and/or missing data points
| Fleet | |
| Owned Fleet | Wholly owned and operated vessels of BW LPG during the reporting year |
| India Fleet | Wholly owned and operated vessels of BW LPG India during the reporting year. Data is only presented from 2021 onwards when BW LPG India became a subsidiary in Q2 2021 |
| TC-in Fleet | TC-in Fleet Vessels chartered in and operated by BW LPG during the reporting year |
| Emissions | |
| GHG Scope 1 Emissions | Direct emissions from the operation of our owned, India and TC-in vessels, calculated via conversion and emission factors for fuel consumption based on recommendations from IMO 3rd and 4th GHG study and US Environmental Protection Agency (EPA) with reference to the GHG protocol - consolidation is based on operational control approach Scope of reporting includes vessels owned by subsidairies and vessels where BW LPG Group has technical and/or operational control during the reporting year |
| GHG Scope 2 Emissions | Indirect emissions from purchased energy for our office operations in Singapore, Norway and Spain in accordance with GHG Protocol guidelines, consolidated based on operational control market-based reporting Calculated with reference to the GHG protocol using latest Singapore using Tuas Power Plant (Singapore) carbon emission factor and market-based approach using the latest Residual fuel mix factor (Norway and Spain) from the Association of Issuing Bodies (AIB) |
| Nitrogen Oxide (NOx) | Direct emissions from the operation of our owned, India and TC-in vessels. Calculations, conversion and emission factors are based on recommendations from IMO 3rd and 4th GHG study |
| Sulphur Oxide (SOx) | Direct emissions from the operation of our owned, India and TC-in vessels. Calculated based on fuel oil consumption and recorded sulphur content per type of fuel oil Calculations, conversion and emission factors are sourced from vessel performance suppliers and based on the IMO 3rd and 4th GHG study |
| Particulate Matter (PM10) | Direct emissions from the operation of our owned, India and TC-in vessels. Calculations, conversion and emission factors are based on recommendations from the IMO 3rd and 4th GHG study, US Environmental Protection Agency (EPA) and European Environment Agency air pollutant emission inventory guidebook 2019 with reference to ENTEC (2007) |
| Carbon Intensities | |
| Annual Efficiency Ratio (AER) | AER uses an approximation of cargo carried by utilizing the vessel’s designed deadweight capacity in place of actual cargo carried and assumes the vessel is continuously carrying cargo. AER of the fleet is calculated as the total CO2 emitted for all vessels / total Deadweight Tonnage X Distance Travelled for our owned and India vessels |
| Energy Efficiency Operational Index (EEOI) | EEOI uses an approximation of cargo carried by utilizing the vessel’s designed deadweight capacity in place of actual cargo carried and assumes the vessel is continuously carrying cargo. EEOI of the fleet is calculated as the total CO2 emitted for all vessels / total Cargo Tonnage X Distance Travelled for our owned and India vessels. |
| Energy Efficiency Design Index (EEDI) | Average Energy Efficiency Design Index (EEDI) for new ships Kaede and Gas Venus in 2023. Energy efficiency design index for new ships is an IMO measure designed to ensure the use of more energy efficient equipment and engines. Disclosure as required under the Sustainability Accounting Standards Board (SASB) - Marine Transportation (TR-T-110a.4) |
| Energy | |
| Fleet Fuel Consumption | Fuel oil consumption is monitored and measured in tonnes. It represents the consumption of all types of fuel used by the fleet - Heavy Sulphur Fuel Oil (HSFO), Very Low Sulphur Fuel Oil (VLSFO), Low Sulphur Marine Gas Oil (LSMGO) and Liquified Petroleum Gas (LPG) |
| Fleet Energy Consumption | Total energy consumption from the fleet, calculated from bunker consumption in the main engine, auxiliary engine, boiler and tank conditioning in metric tonnes based on recommendations from 3rd party bunker management provider and IMO MEPC 70/18/Add.1 Annex 9 |
| Office Energy Consumption | Office Energy Consumption Total energy consumption from most significant onshore offices (Singapore, Norway and Madrid), calculated from electricity consumption in kwh based on universal kwh to TJ conversion factor |
| Percentage (%) Heavy Fuel Oil | Disclosure as required under the Sustainability Accounting Standards Board (SASB) - Marine Transportation (TR-MT-110a.3) Data is unavailable before 2022 |
| Ship Recycling and Ecological Impacts | |
| Spill and Releases | Oil spills as defined in MARPOL Annex I |
| Waste Landed Ashore | Waste generated by owned and India vessels, disposed onshore Data for India fleet is partially reflected from 2021 onwards as we continue to improve our data collection process |
| Percentage of Fleet Implementing Ballast Water Treatment | Number of owned and India vessels that have installed treatment / total number of vessels Data collection was improved, resulting in a slight change in percentage disclosed from 2021 |
| Shipping Duration in Marine Protected Areas | Disclosure as required under the Sustainability Accounting Standards Board (SASB) - Marine Transportation (TR-MT-160a.1) Not reported as data is not available |
| Activity Metrics | |
| Number of vessels | Number vessels in the fleet, as at year end |
| Number of operating days | Vessel calendar days less number of days vessel is offhire |
| Number of port calls | Single instances where a vessel approaches a port for operations including but not limited to loading, discharging, ship-to-ship transfers, bunkering, dry docking and crew change |
Social
As at 31 December 2023
Social Metrics
| Description of Metric | Unit of Measurement | 2023 | 2022 | 2021 |
| Health and Safety | ||||
| Crew | ||||
| Number of fatalities as a result of Work-Related Injury | Number | - | - | - |
| Lost-Time Injury (LTI) | Number | 1 | - | 2 |
| Total Recordable Case (TRC) | Number | 1 | 1 | 10 |
| Number of hours worked | Number | 6,218 | 6,311 | 7,052 |
| Rate of fatalities as a result of Work-Related Injuries | Percentage (%) | 0.00 | - | - |
| Lost-Time Injury Frequency (LTIF) | Frequency | 0.16 | - | 0.28 |
| Total Recordable Case Frequency (TRCF) | Frequency | 0.16 | 0.16 | 1.42 |
| Onshore Staff | ||||
| Number of fatalities as a result of Work-Related Injury | Number | - | - | - |
| Number of high-consequence Work-Related Injury (excluding fatalities) | Number | - | - | - |
| Number of recordable Work-Related Injury | Number | - | - | - |
| Rate of fatalities as a result of Work-Related Injuries | Percentage (%) | - | - | - |
| Rate of high-consequence Work Related Injury | Percentage (%) | - | - | - |
| Rate of recordable Work-Related Injury | Percentage (%) | - | - | - |
| Accident & Safety Management | ||||
| Marine Casualties | ||||
| (1) Number of marine casualties | Number | - | - | 2 |
| (2) Percentage classified as very serious | Percentage (%) | - | - | - |
| Number of Conditions of Class or Recommendations | Number | 0 | 2 | 5 |
| Number of Port State Control | ||||
| (1) Deficiencies | Number | 0.52 | 0.04 | 0.12 |
| (2) Detentions | Number | - | - | - |
| Training | ||||
| Crew | ||||
| Total Training hours | Number | 14,157 | 13,880 | 12,872 |
| Average training hours | Number | 9.0 | 8.7 | 6.1 |
| Onshore Staff | ||||
| Total Training hours | Number | 148 | 996 | 1,150 |
| Average training hours | Number | 1.4 | 10.6 | 15.5 |
| Permanent Staff | ||||
| Crew | ||||
| Total | Number | 1,444 | 1,507 | 1,993 |
Male | Number | 1,419 | 1,494 | 1,974 |
Female | Number | 25 | 13 | 19 |
| Onshore Staff | ||||
| Total | Number | 101 | 94 | 73 |
| Total Male | Number | 59 | 56 | 41 |
Singapore | Number | 22 | 21 | 20 |
Norway | Number | 23 | 23 | 20 |
Madrid | Number | 12 | 11 | - |
Houston | Number | 2 | 1 | 1 |
| Total Female | Number | 42 | 38 | 32 |
Singapore | Number | 32 | 30 | 28 |
Norway | Number | 8 | 6 | 4 |
Madrid | Number | 2 | 2 | - |
Houston | Number | - | - | - |
| Temporary Staff | ||||
| Onshore Staff | ||||
| Total | Number | - | - | 1 |
| Total Male | Number | 1 | - | - |
Singapore | Number | - | - | - |
Norway | Number | - | - | - |
Madrid | Number | - | - | - |
Houston | Number | - | - | - |
| Total Female | Number | - | - | 1 |
Singapore | Number | - | - | 1 |
Norway | Number | - | - | - |
Madrid | Number | - | - | - |
Houston | Number | - | - | - |
| Employee Turnover and New Hires | ||||
| Employees at the start of year | Number | 94 | 74 | 73 |
| Total Employee Turnover | Number | 12 | 11 | 11 |
| Total New Employee Hires | Number | 20 | 31 | 12 |
| Employees at the end of the period | Number | 102 | 94 | 74 |
| Rate of Employee New Hires | ||||
| Total | Percentage (%) | 19.6% | 33.0% | 16.2% |
Male | Percentage (%) | 20.0% | 39.3% | 12.2% |
Female | Percentage (%) | 19.0% | 23.7% | 21.2% |
| Rate of Employee Turnover | ||||
| Total | Percentage (%) | 11.8% | 11.7% | 14.9% |
Male | Percentage (%) | 13.3% | 12.5% | 14.6% |
Female | Percentage (%) | 9.5% | 10.5% | 15.2% |
| Employee Diversity (Onshore) | ||||
| Senior-level Employee | ||||
| Total Number of Employees | Number | 17 | 18 | 14 |
Male | Percentage (%) | 77% | 83% | 71% |
Female | Percentage (%) | 24% | 17% | 29% |
< 30 years old | Percentage (%) | - | - | - |
30 - 50 years old | Percentage (%) | 53% | 56% | 57% |
> 50 years old | Percentage (%) | 47% | 44% | 43% |
| Mid-level Employee | ||||
| Total Number of Employees | Number | 53 | 48 | 36 |
Male | Percentage (%) | 69% | 67% | 67% |
Female | Percentage (%) | 32% | 33% | 33% |
< 30 years old | Percentage (%) | 2% | 2% | 3% |
30 - 50 years old | Percentage (%) | 76% | 71% | 75% |
> 50 years old | Percentage (%) | 22% | 27% | 22% |
| Entry Level Employee | ||||
| Total Number of Employees | Number | 32 | 28 | 24 |
Male | Percentage (%) | 32% | 32% | 29% |
Female | Percentage (%) | 66% | 68% | 71% |
< 30 years old | Percentage (%) | 28% | 21% | 21% |
30 - 50 years old | Percentage (%) | 59% | 71% | 79% |
> 50 years old | Percentage (%) | 13% | 7% | - |
| Total across BW LPG | ||||
| Total Number of Employees | Number | 102 | 94 | 74 |
Male | Percentage (%) | 59% | 60% | 55% |
Female | Percentage (%) | 41% | 40% | 45% |
< 30 years old | Percentage (%) | 10% | 7% | 8% |
30 - 50 years old | Percentage (%) | 67% | 68% | 73% |
> 50 years old | Percentage (%) | 23% | 25% | 19% |
Comments on Social Data
Certain prior year data has been recalculated to include additional and/or missing data points
| Health and Safety | |
| Fatalities | Fatalities Headcount number of work-related accidents leading to the death of an employee, crew or contractor |
| Lost-Time Injury (LTI) / Lost-Time Injury Frequency (LTIF) | Lost-Time Injury (LTI) / Lost-Time Injury Frequency (LTIF) LTI is the sum of lost workday cases, permanent partial and total disabilities and fatalities due to work injuries LTIF is the ratio of the number of lost-time injuries occurring in a workplace per 1 million hours worked |
| Total Recordable Case (TRC) / Total Recordable Case Frequency (TRCF) | TRC captures the sum of all cases of lost time injuries, restricted work injuries medical treatment Injuries, first aid cases and work-related fatalities TRCF is the sum of total recordable cases per 1 million hours worked over the quantity of hours worked |
| Marine Casualties | As defined in accordance with each vessel flag state |
| Port State Detentions | Port State Detentions Number of Port State Control inspections resulting in a detention |
| Port State Control Deficiencies | Ratio between the number of reported deficiencies relative to the number of Port State Control Inspections as such the average number of deficiencies per inspection |
| Crew and Employee | |
| Employee | Includes employees from (Singapore, Oslo, Madrid and Houston) Permanent employees refer to full-time employees with a personal employment contract with the organisation without a defined time period Temporary employees refers to part-time employees with a personal employment contract with the organisation and defined contractual period |
| Training | Training includes topics on diversity and inclusion, business ethics, cybersecurity, health and safety, upgrading and upskilling Training hours for crew are tracked from 2021 onwards |
| Number of Crew | Includes crew from owned and India vessels |
| Rate of Employee Turnover / New Hires | The ratio of number of leavers / new hires over the total number of employees at the end of the relevant year Significant increase in 2022 new hires due to the acquisition of Vilma Oil |
| Diversity | Diversity Onshore employee diversity variance of 20% due to organisational changes within the year and new ventures |
| Management Level | Entry-level refers to employees who execute the day-to-day operations of the company (Assistants, Executives and Assistant Managers) Mid-level refers to employees who plan and supervise the day-to-day operations of the company (Managers and Senior Managers) Senior-level refers to employees who have a high level of experience, knowledge and responsibility within the company (General Managers, Vice-presidents and Executive Management Team) |
Governance
Governance Metrics
| Description of Metric | Unit of Measurement | 2023 | 2022 | 2021 |
| Board Diversity | ||||
| Male | ||||
| Number of individuals | Number | 3 | 2 | 2 |
| Percentage of individuals within the organisation’s governance bodies | Percentage (%) | 60% | 40% | 40% |
| Female | ||||
| Number of individuals | Number | 2 | 3 | 3 |
| Percentage of individuals within the organisation’s governance bodies | Percentage (%) | 40% | 60% | 60% |
| Supply Chain | ||||
| Supply Chain Spending | ||||
| Europe | Percentage (%) | 62% | 77% | 59% |
| Far East Asia | Percentage (%) | 25% | 12% | 33% |
| North America | Percentage (%) | 2% | 3% | 2% |
| Middle East | Percentage (%) | 0% | 0% | 0% |
| Others | Percentage (%) | 11% | 8% | 7% |
| Number of Vendors | ||||
| Total | 294 | 285 | 338 | |
| Europe | Number | 140 | 125 | 147 |
| Far East Asia | Number | 57 | 56 | 72 |
| North America | Number | 31 | 30 | 25 |
| Middle East | Number | 4 | 7 | 12 |
| Others | US$'000 | 62 | 67 | 82 |
| Anti-Corruption Risks and Incidents | ||||
| Africa | ||||
| Total number of port calls | Number | 23 | 55 | 83 |
| Total port calls assessed for corruption related risks | Percentage (%) | 100% | 100% | 100% |
| Asia (incl. India and China) | ||||
| Total number of port calls | Number | 351 | 275 | 380 |
| Total port calls assessed for corruption related risks | Percentage (%) | 100% | 100% | 100% |
| South America | ||||
| Total number of port calls | Number | 100 | 73 | 63 |
| Total port calls assessed for corruption related risks | Percentage (%) | 100% | 100% | 100% |
| Corruption Index | ||||
| Number of calls at ports in countries that have the 20 lowest rankings in Transparency International's Corruption Perception Index. | Number | 0 | 1 | 2 |
| Corruption | ||||
| Total amount of monetary losses as a result of legal proceedings associated with bribery or corruption | US$’000 | 0 | 0 | 0 |
| Economic Performance and Contributions | ||||
| Total Revenue | US$’000 | 2,947,340 | 1,558,124 | 1,241,355 |
| Total Expenses | US$’000 | 2,246,426 | 1,151,847 | 935,968 |
Staff Compensation | US$’000 | 27,541 | 17,647 | 18,017 |
Manning Cost | US$’000 | 42,883 | 46,878 | 48,213 |
Other Expenses | US$’000 | 2,176,002 | 1,087,322 | 869,738 |
| Political Contributions | US$’000 | - | - | - |
| Community Development | US$’000 | 210,462 | 84,407 | 166,005 |
Comments on Governance Data
Certain prior year data has been recalculated to include additional and/or missing data points
| Supply Chain | |
| Number of Vendors and Spending | Includes only suppliers supplying to internally managed vessels |
| Anti-Bribery and Anti-Corruption | |
| % of port calls assessed for corruption related risks | All ports called upon have been assessed for corruption related risks |
| Transparency International Corruption Perception Index | Based on the lastest Transparency International Corruption Perception Index |
| Economic Performance | |
| Revenue | Certain comparative figures have been reclassified to conform with the presentation adopted for the current period. Total revenue from spot and time charter voyages |
| Expenses | Certain comparative figures have been reclassified to conform with the presentation adopted for the current period. Total voyage, charter hire, vessel operating, general and administrative expenses |
| Manning Costs | For crew working onboard vessels |
| Staff Compensation | For office employees in Singapore, Oslo, Madrid and Houston |
| Political Contributions | Refers to contributions made to any political parties in the form of financial donations, loans, sponsorships, retainers, support of organisations funding political campaigns/parties such as Political Action Committees or Associated Entities) No political contributions were made in the reporting year |
| Community Development Spending | Refers to paid amounts for activities related to Corporate Social Responsibility (CSR) in period |
