Sustainability Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Achieve IAQ Excellent Class in the Hong Kong portfolio or the local IAQ Standard in the Chinese Mainland portfolio (Indoor Air Quality Management) | percent of common areas | 90 | 320 | |
Ultra-low sulphur diesel (ULSD) - Chinese Mainland Portfolio | Litres | 5740 | 339 | |
Ultra-low sulphur diesel (ULSD) - Hong Kong Portfolio | Litres | 4166 | 339 | |
Ultra-low sulphur diesel (ULSD) - Hotels | Litres | 2726 | 339 | |
Ultra-low sulphur diesel (ULSD) - Total | Litres | 12632 | 339 |
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 | 2020 | 2021 | 2022 | 2023 | 2023-2024 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Building carbon intensity by gross floor area (Chinese Mainland Portfolio) | Tonnes of CO₂e/m²/year | 0.053 | 0.047 | 0.045 | 0.045 | 0.029 | 293 | |||
Building carbon intensity by gross floor area (HK Portfolio) | Tonnes of CO₂e/m²/year | 0.103 | 0.088 | 0.079 | 0.076 | 0.071 | 293 | |||
Building carbon intensity by gross floor area (U.S.A. Portfolio) | Tonnes of CO₂e/m²/year | 0.085 | 0.081 | 0.069 | 0.066 | 0.056 | 293 | |||
Business travel - Emissions from transportation of Swire Properties’ employees for business-related activities | Tonnes of CO2e | 1982 | 3764 | 4452 | 7476 | 6441 | 342 | |||
Capital goods - Upfront embodied carbon emissions of Swire Properties’ new development projects and trading properties | Tonnes of CO2e | 76783 | 19601 | 341 | ||||||
Carbon emissions (Scope 1 and 2 – market-based method) | Tonnes of CO₂e | 203316 | 176841 | 165549 | 163150 | 138635 | 293 | |||
Carbon emissions, like-for-like portfolio | "decreased by 16% from 2023 to 2024" | 191 | ||||||||
Carbon intensity of tenants (Scope 3 – downstream leased assets) | Tonnes of CO₂e/m²/year | 0.098 | 0.089 | 0.081 | 0.082 | 0.063 | 293 | |||
Carbon intensity, location-based method, Chinese Mainland Portfolio | Tonnes of CO2e/sq.m/year | 0.029 | 340 | |||||||
Carbon intensity, location-based method, Hong Kong Portfolio | Tonnes of CO2e/sq.m/year | 0.071 | 340 | |||||||
Carbon intensity, location-based method, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | Tonnes of CO2e/sq.m/year | 0.06 | 340 | |||||||
Carbon intensity, location-based method, Hotels | Tonnes of CO2e/sq.m/year | 0.021 | 340 | |||||||
Carbon intensity, location-based method, U.S.A. Portfolio | Tonnes of CO2e/sq.m/year | 0.025 | 340 | |||||||
Carbon intensity, market-based method, Chinese Mainland Portfolio | Tonnes of CO2e/sq.m/year | 0.029 | 340 | |||||||
Carbon intensity, market-based method, Hong Kong Portfolio | Tonnes of CO2e/sq.m/year | 0.071 | 340 | |||||||
Carbon intensity, market-based method, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | Tonnes of CO2e/sq.m/year | 0.06 | 340 | |||||||
Carbon intensity, market-based method, Hotels | Tonnes of CO2e/sq.m/year | 0.021 | 340 | |||||||
Carbon intensity, market-based method, U.S.A. Portfolio | Tonnes of CO2e/sq.m/year | 0.025 | 340 | |||||||
Category 1 contribution to total Scope 3 emissions | percent | 27 | 33.4 | 193 | ||||||
Climate change - absolute GHG emissions (Scope 1 and Scope 2) reduction | percent | 40% | 18 | |||||||
Climate change - value chain GHG emissions Scope 3 Capital Goods per square metre reduction | percent | 18% | 18 | |||||||
Climate change - value chain GHG emissions Scope 3 Downstream Leased Assets per square metre reduction | percent | 54% | 18 | |||||||
Direct carbon emissions (Scope 1) - Chinese Mainland Portfolio | Tonnes CO2e | 5775 | 339 | |||||||
Direct carbon emissions (Scope 1) - Hong Kong Portfolio | Tonnes CO2e | 8420 | 339 | |||||||
Direct carbon emissions (Scope 1) - Hotels | Tonnes CO2e | 15841 | 339 | |||||||
Direct carbon emissions (Scope 1) - Total | Tonnes CO2e | 32595 | 339 | |||||||
Direct carbon emissions (Scope 1) - U.S.A. Portfolio | Tonnes CO2e | 2559 | 339 | |||||||
Downstream leased assets Scope 3 emissions (Hong Kong and Chinese Mainland Portfolio) | Tonnes of CO2e | 139414 | 131478 | 130657 | 133695 | 106501 | 343 | |||
Employee commuting - Emissions from transportation of employees between their homes and workplaces | Tonnes of CO2e | 12750 | 12750 | 12750 | 12750 | 12750 | 342 | |||
End-of-life treatment of sold products - End of life carbon emissions from waste disposal and treatment of trading properties (e.g. residential buildings) developed by Swire Properties | Tonnes of CO2e | 51 | 54 | 276 | 342 | |||||
Franchises Scope 3 emissions | Tonnes of CO2e | N/A | N/A | N/A | N/A | N/A | 343 | |||
Fuel- and energy-related activities (not included in scope 1 or scope 2) - Extraction, Production, Transportation of Fuels and Energy Purchased by Swire Properties, not Already Accounted for in Scope 1 or Scope 2 | Tonnes of CO2e | 2063 | 2117 | 5248* | 5763* | 5765* | 341 | |||
Indirect carbon emissions (Scope 2) - market-based method - Chinese Mainland Portfolio | Tonnes CO2e | 27019 | 339 | |||||||
Indirect carbon emissions (Scope 2) - market-based method - Hong Kong Portfolio | Tonnes CO2e | 84120 | 339 | |||||||
Indirect carbon emissions (Scope 2) - market-based method - Hotels | Tonnes CO2e | 15811 | 339 | |||||||
Indirect carbon emissions (Scope 2) - market-based method - Total | Tonnes CO2e | 130539 | 339 | |||||||
Indirect carbon emissions (Scope 2) - market-based method - U.S.A. Portfolio | Tonnes CO2e | 3589 | 339 | |||||||
Investments Scope 3 emissions | Tonnes of CO2e | N/A | N/A | N/A | N/A | N/A | 343 | |||
Reduction in Scope 1 and 2 absolute GHG emissions | % | -40 | 186 | |||||||
Reduction in carbon intensity from the tenant-controlled portion of downstream leased assets | % | -54 | 186 | |||||||
Reduction in embodied carbon intensity from new major developments | % | -18 | 186 | |||||||
Scope 1 carbon emissions, Chinese Mainland Portfolio | tonnes of CO2e | 4865 | 5671 | 6270 | 5941 | 5375 | 191 | |||
Scope 1 carbon emissions, Hong Kong Portfolio | tonnes of CO2e | 3600 | 1496 | 190 | 730 | 88 | 191 | |||
Scope 1 carbon emissions, Hotels | tonnes of CO2e | 3599 | 4064 | 3428 | 3706 | 3558 | 191 | |||
Scope 1 carbon emissions, U.S.A. Portfolio | tonnes of CO2e | 33 | 17 | 18 | 19 | 18 | 191 | |||
Scope 2 carbon emissions, Chinese Mainland Portfolio | tonnes of CO2e | 46166 | 40254 | 43874 | 44388 | 27108 | 191 | |||
Scope 2 carbon emissions, Hong Kong Portfolio | tonnes of CO2e | 112364 | 94893 | 86558 | 83168 | 84120 | 191 | |||
Scope 2 carbon emissions, Hotels | tonnes of CO2e | 27735 | 26732 | 22100 | 22195 | 15811 | 191 | |||
Scope 2 carbon emissions, U.S.A. Portfolio | tonnes of CO2e | 4924 | 3706 | 3161 | 330 | 2557 | 191 | |||
Scope 2 carbon emissions, purchased electricity | "decreased by 15.2% compared to 2023" | 191 | ||||||||
Total carbon emissions (Scopes 1 & 2) - market-based method - Chinese Mainland Portfolio | Tonnes CO2e | 32794 | 339 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method - Hong Kong Portfolio | Tonnes CO2e | 92540 | 339 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method - Hotels | Tonnes CO2e | 31652 | 339 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method - Total | Tonnes CO2e | 163134 | 339 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method - U.S.A. Portfolio | Tonnes CO2e | 6148 | 339 | |||||||
Total carbon emissions, all portfolios | "decreased by 15% compared to 2023" | 191 | ||||||||
Upstream transportation and distribution - Emissions from transportation and distribution of goods and services purchased by Swire Properties | Tonnes of CO2e | 5571 | 6652 | 5788 | 6141 | 6040 | 342 | |||
Use of sold products - Operational carbon emissions from the entire use stage of the properties (e.g. residential buildings) developed by Swire Properties | Tonnes of CO2e | 60025 | 342 | |||||||
Value Chain Emissions (Scope 3 SBTi - Capital Goods) - Reduce total embodied carbon intensity from construction/new major developments by 25% per sqm (Decarbonisation) | percent per sqm | 25 | 320 | |||||||
Value Chain Emissions (Scope 3 SBTi) - Reduce total embodied carbon intensity from construction/new major developments by 28% per sqm (Decarbonisation) | percent per sqm | 28 | 320 | |||||||
Value Chain GHG Emissions (Scope 3 SBT – Capital Goods): Reduction in embodied carbon intensity from new development projects per square metre (construction floor area) | % | 25 | 289 | |||||||
Value Chain GHG Emissions (Scope 3 SBT – Capital Goods): Reduction in embodied carbon intensity from new major developments | % | 18 | 289 | |||||||
Value Chain GHG Emissions (Scope 3 SBT – Downstream Leased Assets): Reduction in carbon intensity from the tenant-controlled portion of downstream leased assets | % | 54 | 289 | |||||||
Value Chain GHG Emissions (Scope 3 SBT – Downstream Leased Assets): Reduction in carbon intensity from the tenant-controlled portion of downstream leased assets per square metre | % | 28 | 289 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|---|
Total waste disposed, Swire Properties | Tonnes | 4 | 340 | ||||
Total waste sent to disposal, Swire Properties | Tonnes | 4 | 340 | ||||
Waste generated in operations - Emissions from disposal and treatment of waste generated by Swire Properties | Tonnes of CO2e | 38698 | 40358 | 31405 | 21991 | 29800 | 342 |
Waste produced - Chinese Mainland Portfolio | Tonnes | 27099 | 339 | ||||
Waste produced - Hong Kong Portfolio | Tonnes | 5247 | 339 | ||||
Waste produced - Hotels | Tonnes | 747 | 339 | ||||
Waste produced - Total | Tonnes | 33464 | 339 | ||||
Waste produced - U.S.A. Portfolio | Tonnes | 1485 | 339 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | 2023/24 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|
Commercial waste - Chinese Mainland Portfolio | Tonnes | 2671 | 339 | ||||
Commercial waste - Hong Kong Portfolio | Tonnes | 2554 | 339 | ||||
Commercial waste - Hotels | Tonnes | 657 | 339 | ||||
Commercial waste - Total | Tonnes | 5974 | 339 | ||||
Commercial waste - U.S.A. Portfolio | Tonnes | 92 | 339 | ||||
Construction and demolition waste - Hong Kong Portfolio | Tonnes | 3677 | 339 | ||||
Construction and demolition waste - Total | Tonnes | 3677 | 339 | ||||
Food processing oils - Chinese Mainland Portfolio | Tonnes | 69 | 339 | ||||
Food processing oils - Hong Kong Portfolio | Tonnes | 109 | 339 | ||||
Food processing oils - Hotels | Tonnes | 68 | 339 | ||||
Food processing oils - Total | Tonnes | 246 | 339 | ||||
Food waste - Chinese Mainland Portfolio | Tonnes | 46 | 339 | ||||
Food waste - Hong Kong Portfolio | Tonnes | 59 | 339 | ||||
Food waste - Hotels | Tonnes | 11 | 339 | ||||
Food waste - Total | Tonnes | 116 | 339 | ||||
Increase in waste diversion rate for participating tenants’ offices | % | 10 | 285 | ||||
Metal - Chinese Mainland Portfolio | Tonnes | 73 | 339 | ||||
Metal - Hong Kong Portfolio | Tonnes | 158 | 339 | ||||
Metal - Hotels | Tonnes | 8 | 339 | ||||
Metal - Total | Tonnes | 144 | 339 | ||||
Non-hazardous waste directed to disposal | tonnes | 41390 | 56903 | 295 | |||
Non-hazardous waste disposed, Swire Properties | Tonnes | 56943 | 340 | ||||
Non-hazardous waste diverted from disposal - reuse, recycling, recovery | tonnes | 25564 | 23530 | 295 | |||
Non-hazardous waste diverted from disposal, Swire Properties | Tonnes | 23314 | 340 | ||||
Non-hazardous waste generated, Swire Properties | Tonnes | 80257 | 340 | ||||
Non-hazardous waste recycled, Swire Properties | Tonnes | 12140 | 340 | ||||
Paper - Chinese Mainland Portfolio | Kilograms, Tonnes | 1379 | 339 | ||||
Paper - Hong Kong Portfolio | Kilograms, Tonnes | 246 | 339 | ||||
Paper - Hotels | Kilograms, Tonnes | 11435 | 339 | ||||
Plastic - Chinese Mainland Portfolio | Tonnes | 21 | 339 | ||||
Plastic - Hong Kong Portfolio | Tonnes | 76 | 339 | ||||
Plastic - Hotels | Tonnes | 7 | 339 | ||||
Plastic - Total | Tonnes | 104 | 339 | ||||
Recyclables - Chinese Mainland Portfolio | Tonnes | 78 | 339 | ||||
Recyclables - Hong Kong Portfolio | Tonnes | 51 | 339 | ||||
Recyclables - Hotels | Tonnes | 10 | 339 | ||||
Recyclables - Total | Tonnes | 139 | 339 | ||||
Resource and circularity - commercial waste diversion rate Chinese Mainland Portfolio | percent | 45% | 18 | ||||
Resource and circularity - commercial waste diversion rate Hong Kong Portfolio | percent | 36% | 18 | ||||
Tenants - waste diversion rate increase | percentage points | 10 | 18 | ||||
Timber - Hong Kong Portfolio | Tonnes | 352 | 339 | ||||
Total waste generated, Swire Properties | Tonnes | 6 | 340 | ||||
Total waste recycled, Swire Properties | Tonnes | 2 | 340 | ||||
Waste Diversion Rate - Chinese Mainland (projects under development) | percent of total waste | 50 | 60 | 320 | |||
Waste Diversion Rate - Hong Kong (projects under development) | percent of construction waste | 85 | 90 | 320 | |||
Waste Diversion Rate - Hong Kong Portfolio | percent of commercial waste | 50 | 50 | 320 | |||
Waste Recycling Rate - Chinese Mainland Portfolio | percent of commercial waste | 40 | 45 | 320 | |||
Wastewater discharged - Total | m3 | 109804 | 339 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
Category 13 emissions percentage contribution decrease from 2023 | percent | 14 | 193 | ||
Climate change - absolute GHG emissions (Scope 1 and Scope 2) reduction target | percent | 25% | 18 | ||
Climate change - value chain GHG emissions Scope 3 Capital Goods per square metre reduction target | percent | 25% | 18 | ||
Climate change - value chain GHG emissions Scope 3 Downstream Leased Assets per square metre reduction target | percent | 28% | 18 | ||
Operational Carbon Emissions (Scope 1 and 2 SBT): Reduction in absolute greenhouse gas (GHG) emissions | % | 40 | 25 | 289 | |
Operational GHG emissions (Scope 1 and 2) - Reduce absolute GHG emissions by 25% (Decarbonisation) | percent | 25 | 320 | ||
Operational GHG emissions (Scope 1 and 2) - Reduce absolute GHG emissions by 50% (Decarbonisation) | percent | 50 | 320 | ||
Targeted reduction in emissions generated by capital goods per square metre | percent | 25 | 193 | ||
Targeted reduction in emissions generated by downstream leased assets per square metre | percent | 28 | 193 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|
Hazardous waste directed to disposal | tonnes | 1 | 4 | 295 | |
Hazardous waste diverted from disposal - reuse, recycling, recovery | tonnes | 2 | 4 | 295 | |
Resource and circularity - commercial waste diversion rate Chinese Mainland Portfolio target | percent | 40% | 18 | ||
Resource and circularity - commercial waste diversion rate Hong Kong Portfolio target | percent | 30% | 18 | ||
Total waste diverted from disposal, Swire Properties | Tonnes | 2 | 340 |
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 | 2008 | 2020 | 2021 | 2022 | 2023 | 2023/24 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|
Biodiesel - Hong Kong Portfolio | Litres | 15 | 339 | ||||||||
Biodiesel - Total | Litres | 15 | 339 | ||||||||
Building energy intensity by gross floor area (Chinese Mainland Portfolio) | kWh/m²/year | 96 | 99 | 95 | 97 | 96 | 293 | ||||
Building energy intensity by gross floor area (HK Portfolio) | kWh/m²/year | 127 | 128 | 117 | 117 | 112 | 293 | ||||
Building energy intensity by gross floor area (U.S.A. Portfolio) | kWh/m²/year | 204 | 195 | 179 | 178 | 150 | 293 | ||||
Direct energy consumption - Chinese Mainland Portfolio | Litres | 106107 | 339 | ||||||||
Direct energy consumption - Hong Kong Portfolio | Litres | 5120 | 339 | ||||||||
Direct energy consumption - Hotels | Litres | 67013 | 339 | ||||||||
Direct energy consumption - Total | Litres | 178491 | 339 | ||||||||
Direct energy consumption - U.S.A. Portfolio | Litres | 251 | 339 | ||||||||
Direct energy intensity, Chinese Mainland Portfolio | GJ/sq.m/year | 0.001 | 340 | ||||||||
Direct energy intensity, Hong Kong Portfolio | GJ/sq.m/year | 0.011 | 340 | ||||||||
Direct energy intensity, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | GJ/sq.m/year | 0.008 | 340 | ||||||||
Direct energy intensity, Hotels | GJ/sq.m/year | 0.049 | 340 | ||||||||
Direct energy intensity, U.S.A. Portfolio | GJ/sq.m/year | 0.001 | 340 | ||||||||
Electricity use intensity, Chinese Mainland Portfolio | kWh/m²/year, kWh/sq.m/year | 96 | 99 | 95 | 97 | 95 | 194, 340 | ||||
Electricity use intensity, Hong Kong Portfolio | kWh/m²/year, kWh/sq.m/year | 127 | 128 | 117 | 117 | 112 | 194, 340 | ||||
Electricity use intensity, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | kWh/sq.m/year | 34.7 | 340 | ||||||||
Electricity use intensity, Hotels | kWh/m²/year, kWh/sq.m/year | 55 | 45 | 56 | 39 | 65.6 | 194, 340 | ||||
Electricity use intensity, U.S.A. Portfolio | kWh/m²/year, kWh/sq.m/year | 204 | 195 | 179 | 178 | 15 | 194, 340 | ||||
Electricity use intensity, global portfolios | kWh/m²/year | 194 | 112 | 194 | |||||||
Indirect energy consumption - Non-renewable electricity purchased - Chinese Mainland Portfolio | MWh | 67459 | 339 | ||||||||
Indirect energy consumption - Non-renewable electricity purchased - Hong Kong Portfolio | MWh | 131114 | 339 | ||||||||
Indirect energy consumption - Non-renewable electricity purchased - Hotels | MWh | 246460 | 339 | ||||||||
Indirect energy consumption - Non-renewable electricity purchased - Total | MWh | 451935 | 339 | ||||||||
Indirect energy consumption - Non-renewable electricity purchased - U.S.A. Portfolio | MWh | 6902 | 339 | ||||||||
Indirect energy intensity, Chinese Mainland Portfolio | GJ/sq.m/year | 0.092 | 340 | ||||||||
Indirect energy intensity, Hong Kong Portfolio | GJ/sq.m/year | 0.144 | 340 | ||||||||
Indirect energy intensity, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | GJ/sq.m/year | 0.12 | 340 | ||||||||
Indirect energy intensity, Hotels | GJ/sq.m/year | 0.144 | 340 | ||||||||
Indirect energy intensity, U.S.A. Portfolio | GJ/sq.m/year | 0.057 | 340 | ||||||||
Natural gas - Chinese Mainland Portfolio | m3 | 100149 | 339 | ||||||||
Natural gas - Hotels | m3 | 17245 | 339 | ||||||||
Natural gas - Total | m3 | 117394 | 339 | ||||||||
Off-site renewable electricity purchase for tenant operations at INDIGO and Taikoo Li Sanlitun | percent | nearly 100 | 193 | ||||||||
On-site renewable electricity generated - Chinese Mainland Portfolio | MWh | 1814 | 339 | ||||||||
On-site renewable electricity generated - Hong Kong Portfolio | MWh | 410 | 339 | ||||||||
On-site renewable electricity generated - Total | MWh | 2224 | 339 | ||||||||
Petrol - Chinese Mainland Portfolio | Litres | 5740 | 339 | ||||||||
Petrol - Hong Kong Portfolio | Litres | 939 | 339 | ||||||||
Petrol - Total | Litres | 6679 | 339 | ||||||||
Proportion of electricity consumption from renewable sources | % | 14.3 | 19.0 | 24.1 | 26.3 | 33.1 | 293 | ||||
Reduce annual electricity use intensity (Chinese Mainland Portfolio) | percent | 13.3 | 20 | 320 | |||||||
Reduce annual electricity use intensity (Hong Kong Portfolio) | percent | 40 | 320 | ||||||||
Reduction in electricity use intensity (EUI) for participating tenants’ offices | % | -3.8 | 285 | ||||||||
Reduction of electricity use intensity (kWh/m²) - Chinese Mainland portfolio | % | 9 | 13 | 289 | |||||||
Reduction of electricity use intensity (kWh/m²) - Hong Kong portfolio | % | 19 | 20 | 289 | |||||||
Total energy consumption | GJ | 1216569 | 1248916 | 1248636 | 1268721 | 1243782 | 293 | ||||
Total energy consumption - Chinese Mainland Portfolio | GJ | 535755 | 339 | ||||||||
Total energy consumption - Hong Kong Portfolio | GJ | 480971 | 339 | ||||||||
Total energy consumption - Hotels | GJ | 201957 | 339 | ||||||||
Total energy consumption - Total | GJ | 1239382 | 339 | ||||||||
Total energy consumption - U.S.A. Portfolio | GJ | 20699 | 339 | ||||||||
Town gas - Hong Kong Portfolio | m3 | 41516 | 339 | ||||||||
Town gas - Hotels | m3 | 1029 | 339 | ||||||||
Town gas - Total | m3 | 42545 | 339 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
Reduction in water intensity (Chinese Mainland) | percent reduction in water intensity (m3/m2) | 20 | 30 | 320 | |||||
Reduction in water intensity (Hong Kong) | percent reduction in water intensity (m3/m2) | 10 | 16 | 320 | |||||
Reduction in water intensity (Hotel) | percent reduction in water intensity (L/guest night) | 8 | 15 | 320 | |||||
Total Water Use, Chinese Mainland Portfolio | thousand cubic metres (000 m3) | 885 | 873 | 936 | 951 | 971 | 195 | ||
Total Water Use, Hong Kong Portfolio | thousand cubic metres (000 m3) | 454 | 415 | 354 | 356 | 365 | 195 | ||
Total Water Use, Hotels | thousand cubic metres (000 m3) | 356 | 422 | 289 | 366 | 331 | 195 | ||
Total Water Use, U.S.A. Portfolio | thousand cubic metres (000 m3) | 1095 | 1461 | 1174 | 1158 | 1360 | 195 | ||
Wastewater discharged - Chinese Mainland Portfolio | m3 | 38307 | 339 | ||||||
Wastewater discharged - Hong Kong Portfolio | m3 | 36976 | 339 | ||||||
Wastewater discharged - Hotels | m3 | 34144 | 339 | ||||||
Wastewater discharged - U.S.A. Portfolio | m3 | 377 | 339 | ||||||
Water Use Intensity, Chinese Mainland Portfolio | m3/m2/year | 0.912 | 0.899 | 0.84 | 0.845 | 0.862 | 195 | ||
Water Use Intensity, Hong Kong Portfolio | m3/m2/year | 0.402 | 0.377 | 0.322 | 0.323 | 0.306 | 195 | ||
Water Use Intensity, Hotels | m3/m2/year | 0.412 | 0.403 | 0.434 | 0.366 | 0.354 | 195 | ||
Water Use Intensity, U.S.A. Portfolio | m3/m2/year | 64 | 67 | 54 | 53 | 63 | 195 | ||
Water consumption - municipal - Chinese Mainland Portfolio | 000m3 | 971 | 339 | ||||||
Water consumption - municipal - Hong Kong Portfolio | 000m3 | 366 | 339 | ||||||
Water consumption - municipal - Hotels | 000m3 | 331 | 339 | ||||||
Water consumption - municipal - Total | 000m3 | 1730 | 339 | ||||||
Water consumption - municipal - U.S.A. Portfolio | 000m3 | 63 | 339 | ||||||
Water intensity, Chinese Mainland Portfolio | m3/sq.m/year | 0.862 | 340 | ||||||
Water intensity, Hong Kong Portfolio | m3/sq.m/year | 0.306 | 340 | ||||||
Water intensity, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | m3/sq.m/year | 0.669 | 340 | ||||||
Water intensity, Hotels | m3/guest night/year | 8.254 | 340 | ||||||
Water intensity, U.S.A. Portfolio | m3/sq.m/year | 1.15 | 340 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Electricity use intensity reduction target, Chinese Mainland Portfolio (including hotels), compared to 2019 baseline | 13% | 194 | ||||||
Electricity use intensity reduction target, Hong Kong Portfolio (including hotels), compared to 2019 baseline | 20% | 194 | ||||||
Electricity use intensity reduction, Chinese Mainland Portfolio (including hotels), compared to 2019 baseline | 9% | 194 | ||||||
Electricity use intensity reduction, Hong Kong Portfolio (including hotels), compared to 2019 baseline | 19% | 194 | ||||||
Energy - reduction of electricity use intensity Chinese Mainland Portfolio | percent | 9% | 18 | |||||
Energy - reduction of electricity use intensity Chinese Mainland Portfolio target | percent | 13% | 18 | |||||
Energy - reduction of electricity use intensity Hong Kong Portfolio | percent | 19% | 18 | |||||
Energy - reduction of electricity use intensity Hong Kong Portfolio target | percent | 20% | 18 | |||||
Expenditures for green building development supported by green bond proceeds and green loan | HKD million | 669 | 1502 | /* | 5992 | 6886 | 293 | |
Generate 4-6% of landlord's building energy from renewable energy sources for selected newly completed core projects | percent | 4-6 | 320 | |||||
Tenants - number of kWh saved | kWh | 750000 | 18 | |||||
Tenants - reduction in electricity use intensity | percent | 3.4% | 18 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Glass - Chinese Mainland Portfolio | Tonnes | 71 | 339 | |
Glass - Hong Kong Portfolio | Tonnes | 14 | 339 | |
Glass - Hotels | Tonnes | 1 | 339 | |
Glass - Total | Tonnes | 86 | 339 | |
Paper - Total | Kilograms, Tonnes | 1677 | 339 | |
Total packaging material used for finished products by Swire Properties, mainly by Swire Hotels for food packaging | tonnes | 7.8 | 361 | |
Total weight of plastic packaging material used | tonnes | 0.5 | 0.1 | 295 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | December 2024 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
100% wholly owned new development projects to achieve the highest environmental building assessment scheme rating | percent | 100 | 100 | 320 | ||||||
Building/asset investment - % of wholly-owned existing developments achieved highest ratings | percent | 93% | 18 | |||||||
Building/asset investment - % of wholly-owned new development projects achieved highest ratings | percent | 100% | 18 | |||||||
Building/asset investment - % of wholly-owned new development projects achieved highest ratings target | percent | 100% | 18 | |||||||
Number of F&B outlets participating in Green Kitchen Initiative (GKI) in Hong Kong and Chinese Mainland | 121 | 285 | ||||||||
Percentage of existing buildings which are certified green buildings | % | 97 | 96 | 95 | 94 | 96 | 293 | |||
Percentage of projects under development which are certified green buildings | % | 100 | 100 | 100 | 100 | 100 | 293 | |||
Proportion of financing that was green | % | 70 | 285 | |||||||
Protect biodiversity survey in new development projects (Integration) | percent of new development projects | 50 | 320 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
Big group, Hotels, Chinese Mainland | kWh/guest night/year | 74 | 340 | ||
Big group, Hotels, Hong Kong | kWh/guest night/year | 39 | 340 | ||
Big portfolio, Chinese Mainland Portfolio | GJ/sq.m/year | 0.093 | 340 | ||
Big portfolio, Hong Kong Portfolio | GJ/sq.m/year | 0.112 | 340 | ||
Big portfolio, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | GJ/sq.m/year | 0.121 | 340 | ||
Big portfolio, U.S.A. Portfolio | GJ/sq.m/year | 0.058 | 340 | ||
Board age profile (50–59 years) | % | 57.1 | 347 | ||
Board age profile (60 years or above) | % | 28.6 | 347 | ||
Board age profile (Below 50 years) | % | 14.3 | 347 | ||
Board gender diversity (Female) | % | 35.7 | 347 | ||
Board gender diversity (Male) | % | 64.3 | 347 | ||
Board local/non-local (Local) | % | 57.1 | 347 | ||
Board local/non-local (Non-local) | % | 42.9 | 347 | ||
Board years in service (2–4 years) | % | 28.6 | 347 | ||
Board years in service (Below 2 years) | % | 21.4 | 347 | ||
Board years in service (Over 4 years) | % | 50 | 347 | ||
Corporate governance - % of female representation on Board | percent | 35.7 | 18 | ||
Diversity and inclusion - % of strategic/leadership positions held by women | percent | 40 | 18 | ||
Diversity and inclusion - % of workforce female | percent | 42.5 | 18 | ||
Diversity and inclusion - gender pay ratio (male:female) | 1.07 | 18 | |||
Diversity and inclusion - maintain female representation in workforce above | percent | 40 | 18 | ||
Diversity and inclusion - maintain gender pay ratio at | 1 | 18 | |||
Female in IT-related positions (as % of total IT-related positions) - Chinese Mainland Portfolio | % | 24.2% | 346 | ||
Female in IT-related positions (as % of total IT-related positions) - Hong Kong Portfolio | % | 31.9% | 346 | ||
Female in IT-related positions (as % of total IT-related positions) - Hotels | % | 21.4% | 346 | ||
Female in IT-related positions (as % of total IT-related positions) - Total | % | 26.6% | 346 | ||
Female in technical and engineering-related positions (as % of total technical and engineering-related positions) - Chinese Mainland Portfolio | % | 17.2% | 346 | ||
Female in technical and engineering-related positions (as % of total technical and engineering-related positions) - Hong Kong Portfolio | % | 12.2% | 346 | ||
Female in technical and engineering-related positions (as % of total technical and engineering-related positions) - Hotels | % | 5.7% | 346 | ||
Female in technical and engineering-related positions (as % of total technical and engineering-related positions) - Total | % | 14.5% | 346 | ||
Female workforce (Chinese Mainland Portfolio) | 61.1% | 1560 | 344 | ||
Female workforce (Hong Kong Portfolio) | 60.8% | 1487 | 344 | ||
Female workforce (Hotels) | 47.6% | 870 | 344 | ||
Female workforce (Total) | 57.3% | 3968 | 344 | ||
Female workforce (U.S.A. Portfolio) | 54.3% | 51 | 344 | ||
Females in STEM-related positions (as % of total STEM-related positions) | 24.7% | 345 | |||
Females in junior management positions (as % of total junior management workforce) | 53.2% | 345 | |||
Females in management positions (as % of total management workforce) | 51.6% | 345 | |||
Females in management positions in functions that are not revenue-generating (as % of total management workforce in functions that are not revenue-generating) | 54.0% | 345 | |||
Females in management positions in revenue-generating functions (as % of total management workforce in revenue-generating functions) | 44.2% | 345 | |||
Females in middle management positions (as % of total middle management workforce) | 62.5% | 345 | |||
Females in top/senior management positions (as % of total strategic leader roles) | 50.0% | 345 | |||
Gender Pay Ratio (Female to Male) - Chinese Mainland Portfolio | 1:1.09 | 346 | |||
Gender Pay Ratio (Female to Male) - Hong Kong Portfolio | 1:0.97 | 346 | |||
Gender Pay Ratio (Female to Male) - Hotels | 1:1.14 | 346 | |||
Gender Pay Ratio (Female to Male) - Total | 1:1.07 | 346 | |||
Gender Pay Ratio (Female to Male) - U.S.A. Portfolio | 1:0.97 | 346 | |||
Maintain a female representation of no less than 40% in workforce (Diversity and Inclusion) | percent | 40 | 320 | ||
Maintain gender pay ratio at 1:1 (Diversity and Inclusion) | 1:1 | 1:1 | 320 | ||
Maintain no less than 30% of female representation on the Board (Board Diversity) | percent | 30 | 320 | ||
Male workforce (Chinese Mainland Portfolio) | 38.9% | 991 | 344 | ||
Male workforce (Hong Kong Portfolio) | 39.2% | 959 | 344 | ||
Male workforce (Hotels) | 52.4% | 957 | 344 | ||
Male workforce (Total) | 42.7% | 2950 | 344 | ||
Male workforce (U.S.A. Portfolio) | 45.7% | 43 | 344 | ||
Return to work rate (%) | 100% | 345 | |||
Return to work rate (N) | 12 | 345 | |||
Thousand hours worked | thousand hours | 5489.7 | 347 | ||
Thousand hours worked (Chinese Mainland Portfolio) | thousand hours | 833.5 | 347 | ||
Thousand hours worked (Hong Kong Development Projects) | thousand hours | 2901.2 | 347 | ||
Thousand hours worked (Hotels) | thousand hours | 3895.6 | 347 | ||
Thousand hours worked (U.S.A. Portfolio) | thousand hours | 186.7 | 347 | ||
Total New Hires | 1248 | 95 | |||
Total New Hires, Chinese Mainland | 605 | 95 | |||
Total New Hires, Chinese Mainland (percentage) | 48.5% | 95 | |||
Total New Hires, Hong Kong | 543 | 95 | |||
Total New Hires, Hong Kong (percentage) | 43.5% | 95 | |||
Total New Hires, Miami, U.S.A. | 100 | 95 | |||
Total New Hires, Miami, U.S.A. (percentage) | 8.0% | 95 | |||
Total average tenure of permanent employees - Chinese Mainland Portfolio | years | 5.4 | 345 | ||
Total average tenure of permanent employees - Hong Kong Portfolio | years | 8.2 | 345 | ||
Total average tenure of permanent employees - Hotels | years | 4.8 | 345 | ||
Total average tenure of permanent employees - Total | years | 6.2 | 345 | ||
Total average tenure of permanent employees - U.S.A. Portfolio | years | 4.8 | 345 | ||
Total number and rate of employees by age group - 30 to 50 years old | 5.0% | 122 | 345 | ||
Total number and rate of employees by age group - Over 50 years old | 2.5% | 60 | 345 | ||
Total number and rate of employees by age group - Under 30 years old | 3.3% | 82 | 345 | ||
Total number and rate of employees by gender - Female | 2.9% | 70 | 345 | ||
Total number and rate of employees by gender - Male | 7.9% | 194 | 345 | ||
Total number and rate of employees by management role - Management | 1.3% | 32 | 345 | ||
Total number and rate of employees by management role - Non management | 6.5% | 96 | 345 | ||
Total number of Directors (Board) | 14 | 347 | |||
Total number of employees entitled to parental leave - Chinese Mainland Portfolio | 2536 | 345 | |||
Total number of employees entitled to parental leave - Hong Kong Portfolio | 2408 | 345 | |||
Total number of employees entitled to parental leave - Hotels | 1749 | 345 | |||
Total number of employees entitled to parental leave - Total | 6782 | 345 | |||
Total number of employees entitled to parental leave - U.S.A. Portfolio | 89 | 345 | |||
Total number of employees who took parental leave - Chinese Mainland Portfolio | 1560 | 345 | |||
Total number of employees who took parental leave - Hong Kong Portfolio | 1407 | 345 | |||
Total number of employees who took parental leave - Hotels | 860 | 345 | |||
Total number of employees who took parental leave - Total | 3940 | 345 | |||
Total number of employees who took parental leave - U.S.A. Portfolio | 50 | 345 | |||
Total workforce (Chinese Mainland Portfolio) | 2551 | 344 | |||
Total workforce (Hong Kong Portfolio) | 2446 | 344 | |||
Total workforce (Hotels) | 1827 | 344 | |||
Total workforce (Total) | 6918 | 344 | |||
Total workforce (U.S.A. Portfolio) | 94 | 344 | |||
Workforce 30-50 years old (Chinese Mainland Portfolio) | 41.3% | 1053 | 344 | ||
Workforce 30-50 years old (Hong Kong Portfolio) | 42.7% | 1045 | 344 | ||
Workforce 30-50 years old (Hotels) | 39.8% | 726 | 344 | ||
Workforce 30-50 years old (Total) | 41.3% | 2861 | 344 | ||
Workforce 30-50 years old (U.S.A. Portfolio) | 39.4% | 37 | 344 | ||
Workforce by employment contract: Fixed-term/temporary (Chinese Mainland Portfolio) | 0.5% | 12 | 344 | ||
Workforce by employment contract: Fixed-term/temporary (Hong Kong Portfolio) | 0.6% | 14 | 344 | ||
Workforce by employment contract: Fixed-term/temporary (Hotels) | 0.6% | 11 | 344 | ||
Workforce by employment contract: Fixed-term/temporary (Total) | 0.5% | 37 | 344 | ||
Workforce by employment contract: Permanent (Chinese Mainland Portfolio) | 99.5% | 2539 | 344 | ||
Workforce by employment contract: Permanent (Hong Kong Portfolio) | 99.4% | 2432 | 344 | ||
Workforce by employment contract: Permanent (Hotels) | 99.4% | 1816 | 344 | ||
Workforce by employment contract: Permanent (Total) | 98.3% | 5881 | 344 | ||
Workforce by employment contract: Permanent (U.S.A. Portfolio) | 100% | 94 | 344 | ||
Workforce by employment type: Full-time (Chinese Mainland Portfolio) | 100% | 2551 | 344 | ||
Workforce by employment type: Full-time (Hong Kong Portfolio) | 100% | 2446 | 344 | ||
Workforce by employment type: Full-time (Hotels) | 91.5% | 1671 | 344 | ||
Workforce by employment type: Full-time (Total) | 97.7% | 6762 | 344 | ||
Workforce by employment type: Full-time (U.S.A. Portfolio) | 100% | 94 | 344 | ||
Workforce by employment type: Part-time (Hotels) | 8.5% | 156 | 344 | ||
Workforce by employment type: Part-time (Total) | 2.3% | 156 | 344 | ||
Workforce by geographic region: Chinese Mainland (Chinese Mainland Portfolio) | 100% | 2551 | 344 | ||
Workforce by geographic region: Chinese Mainland (Hotels) | 84.4% | 2344 | 344 | ||
Workforce by geographic region: Hong Kong (Hong Kong Portfolio) | 99.8% | 2442 | 344 | ||
Workforce by geographic region: Hong Kong (Hotels) | 15.6% | 284 | 344 | ||
Workforce by geographic region: Total Chinese Mainland | 68.6% | 4895 | 344 | ||
Workforce by geographic region: Total Hong Kong | 35.3% | 2442 | 344 | ||
Workforce by geographic region: Total U.S.A. | 1.4% | 94 | 344 | ||
Workforce by geographic region: U.S.A. (U.S.A. Portfolio) | 100% | 94 | 344 | ||
Workforce by management role: Management (Chinese Mainland Portfolio) | 14.5% | 370 | 344 | ||
Workforce by management role: Management (Hong Kong Portfolio) | 18.7% | 458 | 344 | ||
Workforce by management role: Management (Hotels) | 11.4% | 209 | 344 | ||
Workforce by management role: Management (Total) | 15.6% | 1079 | 344 | ||
Workforce by management role: Management (U.S.A. Portfolio) | 44.7% | 42 | 344 | ||
Workforce by management role: Non-management (Chinese Mainland Portfolio) | 85.5% | 2181 | 344 | ||
Workforce by management role: Non-management (Hong Kong Portfolio) | 81.3% | 1988 | 344 | ||
Workforce by management role: Non-management (Hotels) | 88.6% | 1618 | 344 | ||
Workforce by management role: Non-management (Total) | 84.4% | 5839 | 344 | ||
Workforce by management role: Non-management (U.S.A. Portfolio) | 55.3% | 52 | 344 | ||
Workforce over 50 years old (Chinese Mainland Portfolio) | 39.8% | 1015 | 344 | ||
Workforce over 50 years old (Hong Kong Portfolio) | 41.8% | 1023 | 344 | ||
Workforce over 50 years old (Hotels) | 38.0% | 694 | 344 | ||
Workforce over 50 years old (Total) | 40.1% | 2772 | 344 | ||
Workforce over 50 years old (U.S.A. Portfolio) | 42.6% | 40 | 344 | ||
Workforce under 30 years old (Chinese Mainland Portfolio) | 18.9% | 483 | 344 | ||
Workforce under 30 years old (Hong Kong Portfolio) | 15.5% | 378 | 344 | ||
Workforce under 30 years old (Hotels) | 22.3% | 407 | 344 | ||
Workforce under 30 years old (Total) | 18.6% | 1285 | 344 | ||
Workforce under 30 years old (U.S.A. Portfolio) | 18.1% | 17 | 344 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Absentee rate (Chinese Mainland Portfolio) | % | 0.4 | 347 | |
Employee turnover rate | % | 11% | 92 | |
Employee turnover rate improvement target compared to 2018 baseline | % | 5.5% | 92 | |
Improvement in turnover rate compared to 2018 baseline | % | 53.6% | 92 | |
Total number and rate of new hires (Chinese Mainland Portfolio) | 9.6% | 245 | 344 | |
Total number and rate of new hires (Hong Kong Portfolio) | 8.6% | 211 | 344 | |
Total number and rate of new hires (Hotels) | 9.5% | 174 | 344 | |
Total number and rate of new hires (Total) | 9.1% | 632 | 344 | |
Total number and rate of new hires (U.S.A. Portfolio) | 2.1% | 2 | 344 | |
Total number and rate of turnover (Chinese Mainland Portfolio) | 7.3% | 186 | 344 | |
Total number and rate of turnover (Hong Kong Portfolio) | 11.3% | 276 | 344 | |
Total number and rate of turnover (Hotels) | 13.5% | 246 | 344 | |
Total number and rate of turnover (Total) | 10.3% | 713 | 344 | |
Total number and rate of turnover (U.S.A. Portfolio) | 5.6% | 5 | 344 | |
Turnover rate | percent or below | 5.5 | 320 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
Accident Rate of Contractor Workers at Hong Kong Development Projects | per 1000 contractor workers | 1.77 | 151 | ||
Accident rate (contractor, Hong Kong Development Projects) | 1.17 | 347 | |||
LTR (Lost Time Injury Rate) at or below 1.7 for non-hotel operations | or below | 1.7 | 320 | ||
LTR (Lost Time Injury Rate) at or below 2.7 for hotels | or below | 2.7 | 320 | ||
Number of lost-time injuries | 27 | 347 | |||
Occupational health and safety - Lost Time Injury Rate (LTIR) hotel operations | 1.08 | 2 | 18 | ||
Occupational health and safety - Lost Time Injury Rate (LTIR) non-hotel operations | 0.56 | 1.12 | 18 | ||
Reduce LTI incident rate for own hotel workers in our Hong Kong development projects by 70% (Health and Safety) | percent | 70 | 320 | ||
Reduce S4 user rolling average of accident rate by 20% (Health and Safety) | percent | 20 | 320 | ||
Reduce S4 user rolling average of accident rate by 40% (Health and Safety) | percent | 40 | 320 | ||
Reduction in 5-year rolling accident rate average in Hong Kong development projects | 50% | 139 | |||
Reduction in accident rate in Hong Kong development projects | 55% | 139 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Absentee rate | % | 2.89 | 347 | ||
Absentee rate (Hotels) | % | 3.71 | 347 | ||
Absentee rate (Total) | % | 2.55 | 347 | ||
Lost Day Rate (LDR) | 31.42 | 22.81 | 25.25 | 114 | |
Lost Day Rate (LDR) - Hotels portfolio | 38.71 | 114 | |||
Lost Day Rate (LDR) - Overall | 25.25 | 114 | |||
Lost Day Rate (LDR) - Properties portfolio | 20.01 | 114 | |||
Lost Time Injury Rate (LTIR) | 0.87 | 0.79 | 0.71 | 114 | |
Lost Time Injury Rate (LTIR) - Hotels portfolio | 1.08 | 114 | |||
Lost Time Injury Rate (LTIR) - Overall | 0.71 | 114 | |||
Lost Time Injury Rate (LTIR) - Properties portfolio | 0.56 | 114 | |||
Lost Time Injury Rate of Contractor Workers at Hong Kong Development Projects | per 100 contractor workers per year | 0.14 | 151 | ||
Lost day due to LDR (employee) | days | 58.6 | 347 | ||
Lost day due to LDR (employee, Chinese Mainland Portfolio) | days | 6 | 347 | ||
Lost day due to LDR (employee, Hotels) | days | 28.1 | 347 | ||
Lost day due to LDR (employee, Total) | days | 92.7 | 347 | ||
Lost time injury rate (Hong Kong Development Projects) | 0.7 | 347 | |||
Number of lost-time injuries (Chinese Mainland Portfolio) | 1 | 347 | |||
Number of lost-time injuries (Hong Kong Development Projects) | 2 | 347 | |||
Number of lost-time injuries (Hotels) | 20 | 347 | |||
Number of lost-time injuries (Total) | 41 | 347 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Percentage of the organization represented in health and safety management system (ISO 45001) | % | 100 | 347 |
Percentage of the organization represented in health and safety management system (ISO 45001, Chinese Mainland Portfolio) | % | 74.1 | 347 |
Percentage of the organization represented in health and safety management system (ISO 45001, Total) | % | 62.8 | 347 |
Thousand hours worked (Total) | thousand hours | 10405.5 | 347 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Employee engagement index rating | percent or above | 90 | 320 | |
Employee engagement index rating (Pulse Survey) | % | 87% | 92 | |
Employee engagement index rating target | % | 90% | 92 | |
Percentage of employees received Diversity, Equity, Inclusion, and Belonging (DEIB) related training - Chinese Mainland Portfolio | 2551 100% | 346 | ||
Percentage of employees received Diversity, Equity, Inclusion, and Belonging (DEIB) related training - Hong Kong Portfolio | 2411 97.8% | 346 | ||
Percentage of employees received Diversity, Equity, Inclusion, and Belonging (DEIB) related training - Hotels | 1817 95.7% | 346 | ||
Percentage of employees received Diversity, Equity, Inclusion, and Belonging (DEIB) related training - Total | 6848 98.9% | 346 | ||
Percentage of employees received Diversity, Equity, Inclusion, and Belonging (DEIB) related training - U.S.A. Portfolio | 98 96.1% | 346 | ||
Percentage of employees received human rights related training - Chinese Mainland Portfolio | 2420 95.9% | 346 | ||
Percentage of employees received human rights related training - Hong Kong Portfolio | 514 20.8% | 346 | ||
Percentage of employees received human rights related training - Hotels | 1589 83.5% | 346 | ||
Percentage of employees received human rights related training - Total | 4622 66.2% | 346 | ||
Percentage of employees received human rights related training - U.S.A. Portfolio | 99 97.7% | 346 | ||
Total number and percentage of employees who received training - Chinese Mainland Portfolio | 2551 100% | 346 | ||
Total number and percentage of employees who received training - Hong Kong Portfolio | 2440 99.6% | 346 | ||
Total number and percentage of employees who received training - Hotels | 1817 95.7% | 346 | ||
Total number and percentage of employees who received training - Total | 6906 99.4% | 346 | ||
Total number and percentage of employees who received training - U.S.A. Portfolio | 98 96.1% | 346 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Average training hours per employee | hours | 25 | 92 | |
Average training hours per employee - Chinese Mainland Portfolio | hours | 25.6 | 346 | |
Average training hours per employee - Hong Kong Portfolio | hours | 11.1 | 346 | |
Average training hours per employee - Hotels | hours | 41.5 | 346 | |
Average training hours per employee - Total | hours | 25.1 | 346 | |
Average training hours per employee - U.S.A. Portfolio | hours | 6.4 | 346 | |
Increase in average training hours per employee compared to 2016 baseline | % | 105% | 92 | |
Increase in training hours per employee per year (Learning and Development) | percent | 25 | 320 | |
Increase in training hours per employee per year compared to 2016 baseline | % | 25% | 92 | |
Talent management - % increase in training hours/employee/year | percent | 105% | 18 | |
Talent management - increase in training hours/employee/year | percent | 2.5% | 18 | |
Talent management - training hours delivered | hours | 179300 | 18 | |
Total number and percentage of employees receiving performance review - Chinese Mainland Portfolio | 99.4% | 2536 | 345 | |
Total number and percentage of employees receiving performance review - Hong Kong Portfolio | 97.6% | 2408 | 345 | |
Total number and percentage of employees receiving performance review - Hotels | 95.6% | 1747 | 345 | |
Total number and percentage of employees receiving performance review - Total | 97.7% | 6780 | 345 | |
Total number and percentage of employees receiving performance review - U.S.A. Portfolio | 94.7% | 89 | 345 | |
Total training hours by type of training - Mandatory - Chinese Mainland Portfolio | hours | 7105.7 | 346 | |
Total training hours by type of training - Mandatory - Hong Kong Portfolio | hours | 2635.3 | 346 | |
Total training hours by type of training - Mandatory - Hotels | hours | 2852.5 | 346 | |
Total training hours by type of training - Mandatory - Total | hours | 12653.5 | 346 | |
Total training hours by type of training - Mandatory - U.S.A. Portfolio | hours | 60 | 346 | |
Total training hours by type of training - Non-mandatory - Chinese Mainland Portfolio | hours | 36453.2 | 346 | |
Total training hours by type of training - Non-mandatory - Hong Kong Portfolio | hours | 7813.3 | 346 | |
Total training hours by type of training - Non-mandatory - Hotels | hours | 28733 | 346 | |
Total training hours by type of training - Non-mandatory - Total | hours | 73119.5 | 346 | |
Total training hours by type of training - Non-mandatory - U.S.A. Portfolio | hours | 120 | 346 | |
Total training hours delivered | hours | 173933 | 92 | |
Total training hours on DEIB related topics - Chinese Mainland Portfolio | hours | 1200 | 346 | |
Total training hours on DEIB related topics - Hong Kong Portfolio | hours | 1218 | 346 | |
Total training hours on DEIB related topics - Hotels | hours | 4134 | 346 | |
Total training hours on DEIB related topics - Total | hours | 6552 | 346 | |
Total training hours on anti-corruption (Chinese Mainland Portfolio) | hours | 7127.3 | 347 | |
Total training hours on anti-corruption (Hotels) | hours | 1291.9 | 347 | |
Total training hours on anti-corruption (Total) | hours | 30101.8 | 347 | |
Total training hours on anti-corruption (U.S.A. Portfolio) | hours | 89 | 347 |
Description of measures to review employment practices to avoid child and forced labour.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Information on: (a) the policies; and (b) compliance with relevant laws and regulations that have a significant impact on the issuer relating to preventing child and forced labour | no confirmed incidents of non-compliance | 363 |
Description of steps taken to eliminate such practices when discovered.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Description of steps taken to eliminate such practices when discovered | did not discover any such practices in our operations | 363 |
Number of suppliers by geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Total portfolio, Chinese Mainland Portfolio | kWh/m2/year | 0.086 | 340 |
Total portfolio, Hong Kong Portfolio | kWh/m2/year | 0.106 | 340 |
Total portfolio, Hong Kong, Chinese Mainland and U.S.A. Portfolio Total | kWh/m2/year | 0.114 | 340 |
Total portfolio, U.S.A. Portfolio | kWh/m2/year | 0.05 | 340 |
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 | 2025 | 2030 | Report Pages |
---|---|---|---|---|
Achieve a minimum of 50% of bond and loan facilities from green financing (External Financing) | percent | 50 | 320 | |
Achieve a minimum of 80% of bond and loan facilities from green financing (External Financing) | percent | 80 | 320 | |
Implementation of Supplier Code of Conduct (SCoC) in all portfolios | 100% | 139 | ||
Implementation of the Supplier Code of Conduct in all portfolios (Monitoring/Compliance) | percent | 100 | 100 | 320 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|---|
Purchased goods and services - Upstream emissions from extraction, production and transportation processes | Tonnes of CO2e | 90124 | 131214 | 93752 | 69605 | 93930 | 341 |
Suppliers - % increase in incident rate reporting | percent | 50% | 18 | ||||
Suppliers - % reduction in user rating of accident/near accident rate | percent | 55% | 18 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Products and services purchased for wholly-owned and new existing investment portfolios that are sustainable (Driving Impact) | percent | 25 | 320 | |
Share of products and services purchased for wholly-owned new and existing investment portfolios that are sustainable | 13% | 25% | 139 | |
Suppliers - sustainable procurement spending | million HKD | 447 | 18 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Net Promoter Score (Employer Branding) | 10 | 320 | ||
Tenants - % of tenants in office portfolio signed Green Performance Pledge | percent | 53 | 18 | |
Tenants - number of office towers signed Green Performance Pledge | million sq ft (LFA) | 4.5 | 18 | |
Tenants - number of tenants signed Green Performance Pledge | tenants | 129 | 18 | |
Tenants in wholly-owned portfolios sign Green Performance Pledge (Tenant Engagement) | percent | 50 | 320 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of confirmed cases of breaches of Code of Conduct | 3 | 347 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Percentage of employees completing anti-corruption training | % | 97.6 | 347 |
Percentage of employees completing anti-corruption training (Chinese Mainland Portfolio) | % | 100 | 347 |
Percentage of employees completing anti-corruption training (Hotels) | % | 96.9 | 347 |
Percentage of employees completing anti-corruption training (Total) | % | 97.2 | 347 |
Percentage of employees completing anti-corruption training (U.S.A. Portfolio) | % | 94.7 | 347 |
Percentage of employees received anti-corruption training (Non-management) - Chinese Mainland Portfolio | 1318 99.3% | 346 | |
Percentage of employees received anti-corruption training (Non-management) - Hong Kong Portfolio | 296 14.4% | 346 | |
Percentage of employees received anti-corruption training (Non-management) - Hotels | 153 68.6% | 346 | |
Percentage of employees received anti-corruption training (Non-management) - Total | 3276 64.4% | 346 | |
Percentage of employees received anti-corruption training (Non-management) - U.S.A. Portfolio | 48 92.3% | 346 | |
Percentage of employees received anti-corruption training - Chinese Mainland Portfolio | 1049 96.3% | 346 | |
Percentage of employees received anti-corruption training - Hong Kong Portfolio | 218 8.3% | 346 | |
Percentage of employees received anti-corruption training - Hotels | 108 75.5% | 346 | |
Percentage of employees received anti-corruption training - Total | 1416 76.4% | 346 | |
Percentage of employees received anti-corruption training - U.S.A. Portfolio | 41 97.6% | 346 | |
Percentage of employees receiving anti-corruption training (management) | % | 98.1 | 347 |
Percentage of employees receiving anti-corruption training (management, Chinese Mainland Portfolio) | % | 100 | 347 |
Percentage of employees receiving anti-corruption training (management, Hotels) | % | 96.4 | 347 |
Percentage of employees receiving anti-corruption training (management, Total) | % | 98.1 | 347 |
Percentage of employees receiving anti-corruption training (management, U.S.A. Portfolio) | % | 100 | 347 |
Total training hours on anti-corruption | hours | 23001.6 | 347 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Volunteering - number of activities | activities | 84 | 18 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
Financial performance - underlying profit attributable to shareholders | million HKD | 6768 | 18 | ||
Green financing - % of bond and loan facilities from green financing | percent | 70% | 18 | ||
Green financing - green bonds issued | billion HKD | 6.9 | 18 | ||
Green financing - green sum bond issued | billion RMB | 3.5 | 18 | ||
Target for bond and loan facilities from green financing by 2025 | % | 50 | 285 | ||
Target for bond and loan facilities from green financing by 2030 | % | 80 | 285 | ||
Volunteering - number of volunteer service hours | hours | 12696 | 18 | ||
Youth empowerment - number of youth engaged | youth | 7000 | 18 | ||
Youth empowerment - social value generated from Swire Properties Placemaking Academy | million HKD | 60 | 18 |
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 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | Tonnes of CO2e | 12097 | 11248 | 11906 | 12396 | 32595 |
Indirect Energy Emissions (Scope 2) | Tonnes of CO2e | 191219 | 165593 | 153643 | 150754 | 130539 |
Scope 3 GHG Emissions (Business Travel) | Tonnes of CO2e | 1982 | 3764 | 4452 | 7476 | 6441 |
Scope 3 GHG Emissions (Capital Goods) | Tonnes of CO2e | 76783 | 19601 | |||
Scope 3 GHG Emissions (Downstream Leased Assets) | Tonnes of CO2e | 139414 | 131478 | 130657 | 133695 | 106501 |
Scope 3 GHG Emissions (Employee Commuting) | Tonnes of CO2e | 12750 | 12750 | 12750 | 12750 | 12750 |
Scope 3 GHG Emissions (End-of-life Treatment of Sold Products) | Tonnes of CO2e | 51 | 54 | 276 | ||
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | Tonnes of CO2e | 2063 | 2117 | 5248 | 5763 | 5765 |
Scope 3 GHG Emissions (Upstream Transportation and Distribution) | Tonnes of CO2e | 5571 | 6652 | 5788 | 6141 | 6040 |
Scope 3 GHG Emissions (Use of Sold Products) | Tonnes of CO2e | 60025 | ||||
Total GHG Emissions | Tonnes of CO₂e | 203316 | 176841 | 165549 | 163150 | 138635 |
Total GHG Emissions Intensity (By Area) | Tonnes of CO₂e/m²/year | 0.053 | 0.047 | 0.045 | 0.045 | 0.029 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Hazardous Waste Disposed | tonnes | 1 | 4 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 | 2024 | 2025 | 2030 |
---|---|---|---|---|---|
Diversion Rate of Non-Hazardous Waste | percent | 38.2 | 29.2 | 50 | 50 |
Non-Hazardous Waste (Construction Waste) | tonnes | 3677 | |||
Non-Hazardous Waste (Kitchen Waste) | tonnes | 116 | |||
Non-Hazardous Waste Disposed | tonnes | 41390 | 56943 | ||
Non-Hazardous Waste Recycled | tonnes | 25564 | 23314 | ||
Paper Waste | tonnes | 1677 | |||
Plastic Waste | tonnes | 104 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 | 2025 |
---|---|---|---|
Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | percent | 40 | |
Scope 3 Emissions Reduction Percentage Compared to Last Year | percent | 14 | |
Target Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | percent | 25 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2025 |
---|---|---|
Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | percent | 30 |
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 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
Diesel Fuel Consumption | Litres | 15 | ||||
Direct Energy Consumption Intensity (By Area per Year) | GJ/sq.m/year | 0.001 | ||||
Energy Consumption Intensity (By Area per Year) | kWh/m²/year | 96 | 99 | 95 | 178 | 150 |
Gasoline Consumption | Litres | 6679 | ||||
Indirect Energy Consumption Intensity (By Area per Year) | GJ/sq.m/year | 0.092 | ||||
Natural Gas Consumption | m3 | 117394 | ||||
Percentage of Renewable Energy Consumption | % | 14.3 | 19 | 24.1 | 26.3 | 33.1 |
Purchased Electricity | MWh | 451935 | ||||
Total Direct Energy Consumption | Litres | 178491 | ||||
Total Energy Consumption | GJ | 1216569 | 1248916 | 1248636 | 1268721 | 1239382 |
Total Indirect Energy Consumption | MWh | 451935 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
Municipal Water Consumption | thousand cubic metres (000 m3) | 1730 | ||||
Total Wastewater Discharge | m3 | 109804 | ||||
Total Water Withdrawal | thousand cubic metres (000 m3) | 2690 | 3171 | 2753 | 2831 | 3027 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 | 2021 | 2023 | 2024 |
---|---|---|---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | percent | 2 | |||
Investment in Energy-saving and Emission-reduction Technology Transformation | HKD million | 669 | 1502 | 5992 | 6886 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Packaging Material Consumption (Glass) | tonnes | 86 | |
Packaging Material Consumption (Plastic) | tonnes | 0.5 | 0.1 |
Packaging Materials Consumed | tonnes | 7.8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Employees Aged 30-50 | 2861 | |
Number of Employees Aged Above 50 | 2772 | |
Number of Employees Aged Below 30 | 1285 | |
Number of Employees in Hong Kong | 2446 | |
Number of Employees in Mainland China | 2551 | |
Number of Employees in United States | 94 | |
Number of Female Employees | 3968 | |
Number of Full-time Employees | 6762 | |
Number of General Employees | 5839 | |
Number of Junior Management Employees | 96 | |
Number of Male Employees | 2950 | |
Number of New Employees | 1248 | |
Number of New Employees (Hong Kong) | 543 | |
Number of New Employees (Mainland China) | 605 | |
Number of New Employees (Overseas) | 100 | |
Number of Part-time Employees | 156 | |
Number of Senior Management Employees | 32 | |
Number of Temporary Workers | 37 | |
Number of Total Employees | 6918 | |
Percentage of Employees Aged 30-50 | % | 41.3 |
Percentage of Employees Aged Above 50 | % | 40.1 |
Percentage of Employees Aged Below 30 | % | 18.6 |
Percentage of Employees in Hong Kong | % | 35.3 |
Percentage of Employees in Mainland China | % | 68.6 |
Percentage of Employees in United States | % | 1.4 |
Percentage of Female Employees | % | 57.3 |
Percentage of Full-time Employees | % | 97.7 |
Percentage of General Employees | % | 84.4 |
Percentage of Junior Management Employees | % | 6.5 |
Percentage of Male Employees | % | 42.7 |
Percentage of New Employees | % | 18 |
Percentage of Part-time Employees | % | 2.3 |
Percentage of Senior Management Employees | % | 1.3 |
Percentage of Temporary Workers | % | 0.5 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Turnover Rate of Employees in Hong Kong | % | 11.3 |
Turnover Rate of Employees in Mainland China | % | 7.3 |
Turnover Rate of Employees in United States | % | 5.6 |
Turnover Rate of Total Employees | % | 10.3 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 92.7 | ||
Lost Days Due to Work-related Injuries (Mainland China) | days | 6 | ||
Lost Time Injury Frequency Rate (Employees) | 0.71 | |||
Lost Time Injury Frequency Rate (LTIFR/LTIR) | 0.87 | 0.79 | 0.71 | |
Lost Working Days Due to Work-related Injuries (Employees) | days | 92.7 | ||
Number of Work-related Injuries | 41 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2024 |
---|---|---|
Participation Rate of Safety Training | % | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2024 |
---|---|---|
Percentage of Employees Trained | % | 99.4 |
Percentage of Trained Hong Kong Employees | % | 99.6 |
Percentage of Trained Mainland China Employees | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2024 |
---|---|---|
Average Training Hours (Hong Kong Employees) | hours | 11.1 |
Average Training Hours (Mainland China Employees) | hours | 25.6 |
Average Training Hours per Employee | hours | 25 |
Total Training Hours | hours | 173933 |
Training Hours of Anti-corruption | hours | 30101.8 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2024 |
---|---|---|
Anti-corruption Training Coverage among Directors and Management | % | 98.1 |
Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 97.2 |
Coverage of Anti-corruption Training for Employees | % | 64.4 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2024 |
---|---|---|
Total Volunteer Service Hours | hours | 12696 |