Sustainability Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | 2025 | Report Pages |
|---|---|---|---|---|
| Indoor Air Quality Management - % of buildings achieve MQ Excellent class in Hong Kong portfolio or the local IAQ standard in the Chinese Mainland portfolio | % | 90% | 288 | |
| Ultra-low sulphur diesel (ULSD) (Chinese Mainland Portfolio) | Litres | 80272 | 308 | |
| Ultra-low sulphur diesel (ULSD) (Hong Kong Portfolio) | Litres | 11246 | 308 | |
| Ultra-low sulphur diesel (ULSD) (Hotels) | Litres | 22214 | 308 | |
| Ultra-low sulphur diesel (ULSD) (Total) | Litres | 114742 | 308 | |
| Ultra-low sulphur diesel (ULSD) (U.S.A. Portfolio) | Litres | 1010 | 308 |
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 | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Building carbon intensity by gross floor area (Chinese Mainland Portfolio) | Tonnes of CO₂e/m²/year | 0.073 | 0.053 | 0.047 | 0.045 | 0.045 | 266 | ||
| Building carbon intensity by gross floor area (HK Portfolio) | Tonnes of CO₂e/m²/year | 0.109 | 0.103 | 0.088 | 0.079 | 0.076 | 266 | ||
| Building carbon intensity by gross floor area (U.S.A. Portfolio) | Tonnes of CO₂e/m²/year | 0.109 | 0.085 | 0.081 | 0.069 | 0.066 | 266 | ||
| Business travel emissions (Scope 3, Swire Properties) | Tonnes of CO2e | 3360 | 1982 | 3764 | 4452 | 7476 | 311 | ||
| Capital goods - Upfront embodied carbon emissions of Swire Properties' new development projects | Tonnes of CO2e | 26783 | 310 | ||||||
| Carbon emissions (Scope 1 and 2) – market-based method | Tonnes of CO₂e | 230265 | 203316 | 176841 | 165549 | 163150 | 266 | ||
| Carbon intensity of tenants (Scope 3 – downstream leased assets) | Tonnes of CO₂e/m²/year | 0.121 | 0.098 | 0.089 | 0.081 | 0.082 | 266 | ||
| Carbon intensity, location-based method (Chinese Mainland Portfolio) | Tonnes CO2e/sq.m/year | 0.026 | 309 | ||||||
| Carbon intensity, location-based method (Hong Kong Portfolio) | Tonnes CO2e/sq.m/year | 0.076 | 309 | ||||||
| Carbon intensity, location-based method (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | Tonnes CO2e/sq.m/year | 0.058 | 309 | ||||||
| Carbon intensity, location-based method (Hotels) | Tonnes CO2e/guest night/year | 0.026 | 309 | ||||||
| Carbon intensity, location-based method (U.S.A. Portfolio) | Tonnes CO2e/sq.m/year | 0.018 | 309 | ||||||
| Carbon intensity, market-based method (Chinese Mainland Portfolio) | Tonnes CO2e/sq.m/year | 0.026 | 309 | ||||||
| Carbon intensity, market-based method (Hong Kong Portfolio) | Tonnes CO2e/sq.m/year | 0.078 | 309 | ||||||
| Carbon intensity, market-based method (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | Tonnes CO2e/sq.m/year | 0.059 | 309 | ||||||
| Carbon intensity, market-based method (Hotels) | Tonnes CO2e/guest night/year | 0.026 | 309 | ||||||
| Carbon intensity, market-based method (U.S.A. Portfolio) | Tonnes CO2e/sq.m/year | 0.018 | 309 | ||||||
| Climate Change - Absolute GHG emissions (Scope 1 and Scope 2) reduction (Hong Kong Portfolio) | % | 29 | 16 | ||||||
| Climate Change - Value chain GHG emissions (Scope 3 - Downstream Leased Assets) reduction per square meter | % | 40 | 16 | ||||||
| Decarbonisation - Operational GHG Emissions (Scope 1 and 2): Reduce Landlord GHG emissions by | % | 25% | 46% | 288 | |||||
| Decarbonisation - Upstream Leased Assets (Scope 3): Reduce tenant-controlled operational emissions by | % | 28% | 288 | ||||||
| Decarbonisation - Value Chain Emissions (Scope 3: SBTi – Capital Goods): Reduce embodied carbon emissions from new major development by | % per gross construction floor area | 25% | 288 | ||||||
| Direct carbon emissions (Scope 1) (Chinese Mainland Portfolio) | Tonnes of CO2e | 5914 | 308 | ||||||
| Direct carbon emissions (Scope 1) (Hong Kong Portfolio) | Tonnes of CO2e | 710 | 308 | ||||||
| Direct carbon emissions (Scope 1) (Hotels) | Tonnes of CO2e | 9906 | 308 | ||||||
| Direct carbon emissions (Scope 1) (Total) | Tonnes of CO2e | 19579 | 308 | ||||||
| Direct carbon emissions (Scope 1) (U.S.A. Portfolio) | Tonnes of CO2e | 3049 | 308 | ||||||
| Employee commuting emissions (Scope 3, Swire Properties) | Tonnes of CO2e | 12750 | 12750 | 12750 | 12750 | 12750 | 311 | ||
| End-of-life treatment of sold products emissions (Scope 3, Swire Properties) | Tonnes of CO2e | 49 | 51 | 54 | 276 | 311 | |||
| Fuel- and energy-related activities (not included in scope 1 or scope 2) - Emissions related to extraction, production, and transportation of fuels and energy purchased and used by Swire Properties | Tonnes of CO2e | 1922 | 2063 | 2117 | 5729 | 6216 | 310 | ||
| Indirect carbon emissions (Scope 2) - market-based method (Chinese Mainland Portfolio) | Tonnes of CO2e | 54148 | 308 | ||||||
| Indirect carbon emissions (Scope 2) - market-based method (Hong Kong Portfolio) | Tonnes of CO2e | 81816 | 308 | ||||||
| Indirect carbon emissions (Scope 2) - market-based method (Hotels) | Tonnes of CO2e | 22965 | 308 | ||||||
| Indirect carbon emissions (Scope 2) - market-based method (Total) | Tonnes of CO2e | 161948 | 308 | ||||||
| Indirect carbon emissions (Scope 2) - market-based method (U.S.A. Portfolio) | Tonnes of CO2e | 3019 | 308 | ||||||
| Reduction of Carbon Emissions per square metre (Scope 3 – Downstream Leased Assets) | % | -11 | -28 | -35 | -40 | -40 | 193 | ||
| Refrigerants containing HCFCs certified (Hong Kong Portfolio) | Kilograms | 68 | 308 | ||||||
| Refrigerants containing HCFCs certified (Total) | Kilograms | 68 | 308 | ||||||
| Refrigerants containing HFCs certified (Hong Kong Portfolio) | Kilograms | 40 | 308 | ||||||
| Refrigerants containing HFCs certified (Total) | Kilograms | 40 | 308 | ||||||
| Scope 1 carbon emissions, Chinese Mainland Portfolio | Tonnes of CO2e | 6057 | 4866 | 5679 | 6270 | 5914 | 185 | ||
| Scope 1 carbon emissions, Hong Kong Portfolio | Tonnes of CO2e | 1461 | 1630 | 1496 | 190 | 730 | 185 | ||
| Scope 1 carbon emissions, Hotels | Tonnes of CO2e | 4675 | 2599 | 4064 | 4328 | 3706 | 185 | ||
| Scope 1 carbon emissions, U.S.A. Portfolio | Tonnes of CO2e | 51 | 3 | 2 | 18 | 19 | 185 | ||
| Scope 2 carbon emissions, Chinese Mainland Portfolio | Tonnes of CO2e | 64379 | 46166 | 40254 | 43874 | 44388 | 185 | ||
| Scope 2 carbon emissions, Hong Kong Portfolio | Tonnes of CO2e | 110557 | 112364 | 94893 | 86558 | 83168 | 185 | ||
| Scope 2 carbon emissions, Hotels | Tonnes of CO2e | 35421 | 27735 | 25072 | 21200 | 21195 | 185 | ||
| Scope 2 carbon emissions, U.S.A. Portfolio | Tonnes of CO2e | 7664 | 4924 | 3706 | 3161 | 3030 | 185 | ||
| Scope 3 GHG emissions from capital goods reduction per sqm (compared to 2016-2018 baseline) | % | 25 | 252 | ||||||
| Scope 3 GHG emissions from downstream leased assets (Swire Properties, Hong Kong and Chinese Mainland portfolios) | Tonnes of CO2e | 179515 | 139414 | 131478 | 130657 | 133695 | 312 | ||
| Scope 3 GHG emissions from downstream leased assets reduction per sqm (compared to 2018 baseline) | % | 40 | 28 | 252 | |||||
| Scope 3 GHG emissions from franchises (Swire Properties) | N/A | N/A | N/A | N/A | N/A | 312 | |||
| Scope 3 GHG emissions from investments (Swire Properties) | N/A | N/A | N/A | N/A | N/A | 312 | |||
| Total carbon emissions (Scopes 1 & 2) - market-based method (Chinese Mainland Portfolio) | Tonnes of CO2e | 60062 | 308 | ||||||
| Total carbon emissions (Scopes 1 & 2) - market-based method (Hong Kong Portfolio) | Tonnes of CO2e | 82526 | 308 | ||||||
| Total carbon emissions (Scopes 1 & 2) - market-based method (Hotels) | Tonnes of CO2e | 32871 | 308 | ||||||
| Total carbon emissions (Scopes 1 & 2) - market-based method (Total) | Tonnes of CO2e | 181527 | 308 | ||||||
| Total carbon emissions (Scopes 1 & 2) - market-based method (U.S.A. Portfolio) | Tonnes of CO2e | 6068 | 308 | ||||||
| Upstream transportation and distribution emissions (Scope 3, Swire Properties) | Tonnes of CO2e | 5953 | 5571 | 6652 | 5788 | 6141 | 311 | ||
| Use of sold products emissions (Scope 3, Swire Properties) | Tonnes of CO2e | 60025 | 311 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|
| Batteries (Hazardous waste, Hong Kong Portfolio) | Tonnes | 1 | 308 | ||||
| Hazardous waste - Batteries (Hong Kong Portfolio) | Tonnes | 1 | 308 | ||||
| Hazardous waste - Oils and liquids (Hong Kong Portfolio) | Litres | 200 | 308 | ||||
| Oil and chemicals (Hazardous waste, Hong Kong Portfolio) | Litres | 200 | 308 | ||||
| Waste generated in operations emissions (Scope 3, Swire Properties) | Tonnes of CO2e | 36969 | 38698 | 40358 | 31405 | 21991 | 311 |
| Waste generation and disposal - Waste directed to disposal - Hazardous waste | Tonnes | 1 | 238 | ||||
| Waste generation and disposal - Waste directed to disposal - Non-hazardous waste | Tonnes | 41390 | 238 | ||||
| Waste generation and disposal - Waste diverted from disposal (reuse, recycling, recovery) - Hazardous waste | Tonnes | 2 | 238 | ||||
| Waste generation and disposal - Waste diverted from disposal (reuse, recycling, recovery) - Non-hazardous waste | Tonnes | 25564 | 238 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Commercial waste (Non-hazardous waste, Chinese Mainland Portfolio) | Tonnes | 12208 | 308 | ||
| Commercial waste (Non-hazardous waste, Hong Kong Portfolio) | Tonnes | 10549 | 308 | ||
| Commercial waste (Non-hazardous waste, Hotels) | Tonnes | 776 | 308 | ||
| Commercial waste (Non-hazardous waste, Total) | Tonnes | 24709 | 308 | ||
| Commercial waste (Non-hazardous waste, U.S.A. Portfolio) | Tonnes | 1349 | 308 | ||
| Commercial waste - Food processing oil (Hong Kong Portfolio) | Tonnes | 65 | 308 | ||
| Commercial waste - Food waste (Hong Kong Portfolio) | Tonnes | 46 | 308 | ||
| Commercial waste - Glass (Hong Kong Portfolio) | Tonnes | 69 | 308 | ||
| Commercial waste - Metal (Hong Kong Portfolio) | Tonnes | 272 | 308 | ||
| Commercial waste - Mixed recyclables (Hong Kong Portfolio) | Tonnes | 249 | 308 | ||
| Commercial waste - Others (Hong Kong Portfolio) | Tonnes | 78 | 308 | ||
| Commercial waste - Paper (Hong Kong Portfolio) | Tonnes | 2729 | 308 | ||
| Commercial waste - Plastic (Hong Kong Portfolio) | Tonnes | 145 | 308 | ||
| Concrete used by projects under development | m³ | 184352 | 190 | ||
| Construction and demolition waste (Non-hazardous waste, Chinese Mainland Portfolio) | Tonnes | 14441 | 308 | ||
| Construction and demolition waste (Non-hazardous waste, Hong Kong Portfolio) | Tonnes | 2126 | 308 | ||
| Construction and demolition waste (Non-hazardous waste, Total) | Tonnes | 16567 | 308 | ||
| Hazardous waste - Non-hazardous waste (Chinese Mainland Portfolio) | Tonnes | <1 | 308 | ||
| Hazardous waste - Non-hazardous waste (Hong Kong Portfolio) | Tonnes | <1 | 308 | ||
| Hazardous waste - Non-hazardous waste (Hotels) | Tonnes | <1 | 308 | ||
| Hazardous waste - Non-hazardous waste (U.S.A. Portfolio) | Tonnes | <1 | 308 | ||
| Non-hazardous Waste - Total waste disposed (Swire Properties) | Tonnes | 41390 | 309 | ||
| Non-hazardous Waste - Total waste diverted from disposal (Swire Properties) | Tonnes | 25646 | 309 | ||
| Non-hazardous Waste - Total waste generated (Swire Properties) | Tonnes | 65947 | 309 | ||
| Non-hazardous Waste - Total waste recovered (Swire Properties) | Tonnes | 1433 | 309 | ||
| Non-hazardous Waste - Total waste recycled (Swire Properties) | Tonnes | 12381 | 309 | ||
| Non-hazardous Waste - Total waste reused (Swire Properties) | Tonnes | 2341 | 309 | ||
| Non-hazardous Waste - Total waste sent to disposal (Swire Properties) | Tonnes | 41391 | 309 | ||
| Paper products (Chinese Mainland Portfolio) | Tonnes | 1011 | 308 | ||
| Paper products (Hong Kong Portfolio) | Tonnes | 1149 | 308 | ||
| Paper products (Hotels) | Tonnes | 1130 | 308 | ||
| Paper products (Total) | Tonnes | 3347 | 308 | ||
| Paper products (U.S.A. Portfolio) | Tonnes | 57 | 308 | ||
| Resource and Circularity - Commercial waste diversion rate (Chinese Mainland Portfolio) | % | 46 | 16 | ||
| Resource and Circularity - Commercial waste diversion rate (Hong Kong Portfolio) | % | 26 | 16 | ||
| Tenants - Number of single-use cups avoided by Smart Reusable Cup System at Taikoo Place | cups | 23000 | 16 | ||
| Timber (Waste diverted from disposal, Hong Kong Portfolio) | Tonnes | 401 | 308 | ||
| Waste Diversion Rates - Chinese Mainland (projects under development): % of construction waste diverted | % | 50% | 60% | 288 | |
| Waste Diversion Rates - Hong Kong (projects under development): % of construction waste diverted | % | 50% | 75% | 288 | |
| Waste Diversion Rates - Hong Kong Portfolio: % of commercial waste diverted | % | 30% | 50% | 288 | |
| Waste Recycling Rates - Chinese Mainland Portfolio: % of commercial waste recycled | % | 40% | 45% | 288 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Absolute Scope 1 and 2 greenhouse gas (GHG) emissions reduction (compared to 2019 baseline) | % | 29 | 25 | 252 | |
| Operational Carbon Emissions (Scope 1 and 2 SBT): Reduction in absolute greenhouse gas (GHG) emissions compared to 2019 baseline | % reduction | 29 | 179 | ||
| Operational Carbon Emissions (Scope 1 and 2 SBT): Target reduction in absolute greenhouse gas (GHG) emissions compared to 2019 baseline | % reduction | 25 | 179 | ||
| Share of bond and loan facilities in green format | % | 60 | 252 | ||
| Targeted reduction of Carbon Emissions per square metre (Scope 3 – Downstream Leased Assets) | % | -28 | 193 | ||
| Value Chain GHG Emissions (Scope 3 SBT – Capital Goods): Target reduction in embodied carbon intensity from new development projects (construction floor area) compared to 2016-2018 baseline | % reduction per square metre | 25 | 179 | ||
| Value Chain GHG Emissions (Scope 3 SBT – Downstream Leased Assets): Reduction in carbon intensity from tenant-controlled portion of downstream leased assets compared to 2018 baseline | % reduction | 40 | 179 | ||
| Value Chain GHG Emissions (Scope 3 SBT – Downstream Leased Assets): Target reduction in carbon intensity from tenant-controlled portion of downstream leased assets compared to 2018 baseline | % reduction per square metre | 28 | 179 |
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 | Report Pages |
|---|---|---|---|
| Concrete (Waste diverted from disposal, Hong Kong Portfolio) | Tonnes | 6012 | 308 |
| Hazardous Waste - Total waste disposed (Swire Properties) | Tonnes | 1 | 309 |
| Hazardous Waste - Total waste recycled (Swire Properties) | Tonnes | 2 | 309 |
| Metal (Waste diverted from disposal, Hong Kong Portfolio) | Tonnes | 218 | 308 |
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 | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Building energy intensity by gross floor area (Chinese Mainland Portfolio) | kWh/m²/year | 101 | 96 | 99 | 95 | 97 | 266 | ||
| Building energy intensity by gross floor area (HK Portfolio) | kWh/m²/year | 139 | 127 | 128 | 117 | 117 | 266 | ||
| Building energy intensity by gross floor area (U.S.A. Portfolio) | kWh/m²/year | 237 | 204 | 195 | 179 | 178 | 266 | ||
| Diesel consumption by projects under development (includes biodiesel consumption) | litres | 430169 | 190 | ||||||
| Direct energy consumption (Chinese Mainland Portfolio) | Litres | 116866 | 308 | ||||||
| Direct energy consumption (Hong Kong Portfolio) | Litres | 3514 | 308 | ||||||
| Direct energy consumption (Hotels) | Litres | 71437 | 308 | ||||||
| Direct energy consumption (Total) | Litres | 191770 | 308 | ||||||
| Direct energy consumption (U.S.A. Portfolio) | Litres | 253 | 308 | ||||||
| Direct energy intensity (Chinese Mainland Portfolio) | GJ/sq.m/year | 0.002 | 309 | ||||||
| Direct energy intensity (Hong Kong Portfolio) | GJ/sq.m/year | 0.015 | 309 | ||||||
| Direct energy intensity (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | GJ/sq.m/year | 0.011 | 309 | ||||||
| Direct energy intensity (Hotels) | GJ/guest night/year | 0.002 | 309 | ||||||
| Direct energy intensity (U.S.A. Portfolio) | GJ/sq.m/year | 0.004 | 309 | ||||||
| Electricity consumption by projects under development | MWh | 5310642 | 190 | ||||||
| Electricity use intensity (Chinese Mainland Portfolio) | kWh/sq.m/year | 40 | 309 | ||||||
| Electricity use intensity (Hong Kong Portfolio) | kWh/sq.m/year | 141 | 309 | ||||||
| Electricity use intensity (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | kWh/sq.m/year | 107 | 309 | ||||||
| Electricity use intensity (Hotels) | kWh/guest night/year | 40 | 309 | ||||||
| Electricity use intensity (U.S.A. Portfolio) | kWh/sq.m/year | 21 | 309 | ||||||
| Electricity use intensity - Chinese Mainland Portfolio | kWh/m² per year | 101 | 96 | 99 | 95 | 97 | 188 | ||
| Electricity use intensity - Hong Kong Portfolio | kWh/m² per year | 139 | 127 | 128 | 117 | 117 | 188 | ||
| Electricity use intensity - Hotels | kWh/m² per year | 39 | 55 | 45 | 56 | 39 | 188 | ||
| Electricity use intensity - U.S.A. Portfolio | kWh/m² per year | 237 | 204 | 195 | 179 | 178 | 188 | ||
| Electricity use intensity - global portfolio | kWh/m² per year | 194 | 116 | 188 | |||||
| Indirect energy consumption (Chinese Mainland Portfolio) | MWh | 158624 | 308 | ||||||
| Indirect energy consumption (Hong Kong Portfolio) | MWh | 466498 | 308 | ||||||
| Indirect energy consumption (Hotels) | MWh | 213241 | 308 | ||||||
| Indirect energy consumption (Total) | MWh | 848176 | 308 | ||||||
| Indirect energy consumption (U.S.A. Portfolio) | MWh | 9813 | 308 | ||||||
| Indirect energy intensity (Chinese Mainland Portfolio) | GJ/sq.m/year | 0.142 | 309 | ||||||
| Indirect energy intensity (Hong Kong Portfolio) | GJ/sq.m/year | 0.417 | 309 | ||||||
| Indirect energy intensity (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | GJ/sq.m/year | 0.317 | 309 | ||||||
| Indirect energy intensity (Hotels) | GJ/guest night/year | 0.142 | 309 | ||||||
| Indirect energy intensity (U.S.A. Portfolio) | GJ/sq.m/year | 0.074 | 309 | ||||||
| On-site renewable electricity generated (Chinese Mainland Portfolio) | kWh | 11239 | 308 | ||||||
| On-site renewable electricity generated (Hong Kong Portfolio) | kWh | 429429 | 308 | ||||||
| On-site renewable electricity generated (Total) | kWh | 440668 | 308 | ||||||
| Percentage of landlord's building energy from on-site renewable or clean energy sources for selected newly completed office projects | % | 4-6 | 180 | ||||||
| Percentage of landlord's building energy supplied by renewable sources at Two Taikoo Place | % | 6 | 180 | ||||||
| Percentage of renewable electricity procured for both tenant and landlord operations at Taikoo Hui Guangzhou | % | 100 | 180 | ||||||
| Petrol (Chinese Mainland Portfolio) | Litres | 36594 | 308 | ||||||
| Petrol (Hong Kong Portfolio) | Litres | 41246 | 308 | ||||||
| Petrol (Hotels) | Litres | 49223 | 308 | ||||||
| Petrol (Total) | Litres | 127063 | 308 | ||||||
| Proportion of electricity consumption from renewable sources | % | 13.2 | 14.3 | 19.0 | 24.1 | 26.3 | 266 | ||
| Reduction of electricity use intensity (kWh/m²) - Chinese Mainland portfolio (compared to 2019 baseline) | % decrease | 7 | 13 | 180 | |||||
| Reduction of electricity use intensity (kWh/m²) - Hong Kong portfolio (compared to 2019 baseline) | % decrease | 15 | 20 | 180 | |||||
| Renewable Energy - % of landlord’s energy from on-site renewable or clean energy sources for selected newly completed office projects | % | 4-6% | 288 | ||||||
| Total LFA (lettable floor area) covered by GPP in wholly-owned office portfolio in Hong Kong and Chinese Mainland | million sq ft | 3.5 | 135 | ||||||
| Total electricity consumption | GJ | 1313734 | 1216569 | 1248916 | 1248636 | 1269125 | 266 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Sanitary water used for flushing (Chinese Mainland Portfolio) | 000L | 144340 | 308 | |||||
| Sanitary water used for flushing (Hong Kong Portfolio) | 000L | 14042 | 308 | |||||
| Sanitary water used for flushing (Hotels) | 000L | 14049 | 308 | |||||
| Sanitary water used for flushing (Total) | 000L | 172431 | 308 | |||||
| Total Water Use - Chinese Mainland Portfolio | thousand cubic metres (000m³) | 1011 | 885 | 873 | 936 | 951 | 189 | |
| Total Water Use - Hong Kong Portfolio | thousand cubic metres (000m³) | 418 | 454 | 415 | 354 | 356 | 189 | |
| Total Water Use - Hotels | thousand cubic metres (000m³) | 470 | 356 | 422 | 289 | 366 | 189 | |
| Total Water Use - U.S.A. Portfolio | thousand cubic metres (000m³) | 111 | 64 | 67 | 54 | 53 | 189 | |
| Wastewater discharged (Chinese Mainland Portfolio) | 000L | 848 | 308 | |||||
| Wastewater discharged (Hong Kong Portfolio) | 000L | 34391 | 308 | |||||
| Wastewater discharged (Hotels) | 000L | 413 | 308 | |||||
| Wastewater discharged (Total) | 000L | 35705 | 308 | |||||
| Wastewater discharged (U.S.A. Portfolio) | 000L | 53 | 308 | |||||
| Water Reduction - Chinese Mainland: % reduction in water intensity (m³/m²/yr) | % | 8% | 288 | |||||
| Water Reduction - Hong Kong: % reduction in water intensity (m³/m²/yr) | % | 10% | 288 | |||||
| Water Reduction - Hotels: % reduction in water intensity (m³/guest night) | % | 8% | 288 | |||||
| Water Use Intensity - Chinese Mainland Portfolio | m³/m²/yr | 1.045 | 0.912 | 0.899 | 0.840 | 0.845 | 189 | |
| Water Use Intensity - Hong Kong Portfolio | m³/m²/yr | 0.408 | 0.402 | 0.377 | 0.332 | 0.323 | 189 | |
| Water Use Intensity - Hotels | m³/m²/yr | 0.352 | 0.442 | 0.403 | 0.434 | 0.366 | 189 | |
| Water Use Intensity - U.S.A. Portfolio | m³/m²/yr | 1.571 | 1.095 | 1.461 | 1.174 | 1.158 | 189 | |
| Water consumption (Chinese Mainland Portfolio) | 000m3 | 951 | 308 | |||||
| Water consumption (Hong Kong Portfolio) | 000m3 | 356 | 308 | |||||
| Water consumption (Hotels) | 000m3 | 366 | 308 | |||||
| Water consumption (Total) | 000m3 | 1728 | 308 | |||||
| Water consumption (U.S.A. Portfolio) | 000m3 | 54 | 308 | |||||
| Water consumption by projects under development | m³ | 136448 | 190 | |||||
| Water intensity (Chinese Mainland Portfolio) | m3/sq.m/year | 0.912 | 309 | |||||
| Water intensity (Hong Kong Portfolio) | m3/sq.m/year | 0.845 | 309 | |||||
| Water intensity (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | m3/sq.m/year | 0.660 | 309 | |||||
| Water intensity (Hotels) | m3/guest night/year | 0.846 | 309 | |||||
| Water intensity (U.S.A. Portfolio) | m3/sq.m/year | 1.179 | 309 | |||||
| Water intensity reduction, Chinese Mainland Portfolio (2023 Progress) | % | 26.8 | 190 | |||||
| Water intensity reduction, Hong Kong Portfolio (2023 Progress) | % | 9.4 | 190 | |||||
| Water intensity reduction, Hotels (2023 Progress) | % | 3.5 | 190 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | 2020 | 2021 | 2023 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Electricity use intensity reduction progress - Chinese Mainland Portfolio (including hotels) | % decrease | 7 | 188 | |||||
| Electricity use intensity reduction progress - Hong Kong Portfolio (including hotels) | % decrease | 15 | 188 | |||||
| Electricity use intensity reduction target - Chinese Mainland Portfolio (including hotels) | % decrease | 13 | 188 | |||||
| Electricity use intensity reduction target - Hong Kong Portfolio (including hotels) | % decrease | 20 | 188 | |||||
| Energy - Reduction of electricity use intensity (Chinese Mainland Portfolio) | % | 7 | 16 | |||||
| Energy - Reduction of electricity use intensity (Hong Kong Portfolio) | % | 15 | 16 | |||||
| Energy Reduction - Chinese Mainland Portfolio: Reduce annual electricity use intensity by | % | 13.5% | 35% | 288 | ||||
| Energy Reduction - Hong Kong Portfolio: Reduce annual electricity use intensity by | % | 20% | 40% | 288 | ||||
| Expenditures for green building development supported by green bond proceeds and green loan | million HKD | 733 | 669 | 1502 | 5992 | 266 | ||
| External Financing - Achieve a minimum % of bond and loan facilities from green financing | % | 50% | 80% | 288 | ||||
| Water intensity reduction, Chinese Mainland Portfolio (2025 Target) | % | 20 | 190 | |||||
| Water intensity reduction, Hong Kong Portfolio (2025 Target) | % | 10 | 190 | |||||
| Water intensity reduction, Hotels (2025 Target) | % | 8 | 190 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Percentage of tenants covered by GPP in wholly-owned office portfolio in Hong Kong and Chinese Mainland | % | 41 | 135 |
| Plastic pollution - Total weight of plastic packaging material used (mainly by Swire Hotels as food packaging) | Tonnes | 0.5 | 238 |
| Reinforcement bar used by projects under development | tonnes | 35622 | 190 |
| Timber used by projects under development (100% sourced from certified sustainable timber in Hong Kong projects new development) | m³ | 4675 | 190 |
| Total packaging material used for finished products by Swire Properties, mainly by Swire Hotels for food packaging | tonnes | 7.8 | 330 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Building/Asset Investment - Wholly-owned existing developments achieving highest environmental building assessment scheme rating | % | 92 | 16 | ||||||
| Building/Asset Investment - Wholly-owned new development projects achieving highest environmental building assessment scheme rating | % | 100 | 16 | ||||||
| Environmental Building Assessment Schemes - % of all wholly-owned existing developments’ gross floor area with the highest or second highest building assessment scheme rating | % | 95% | 95% | 288 | |||||
| Environmental Building Assessment Schemes - % of wholly-owned new and existing projects achieve the highest or second highest building assessment scheme rating | % | 100% | 100% | 288 | |||||
| Integration - Conduct biodiversity surveys in % of new development projects | % | 50% | 288 | ||||||
| Percentage of existing buildings which are certified green buildings | % | 97 | 97 | 96 | 95 | 94 | 266 | ||
| Percentage of projects under development which are certified green buildings | % | 100 | 100 | 100 | 100 | 100 | 266 | ||
| Target percentage of office tenants in wholly-owned portfolios to sign the GPP to jointly improve environmental performance | % | 50 | 135 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Big group, per location (Hotels, Chinese Mainland) | kWh/guest night/year | 17 | 309 | ||
| Big group, per location (Hotels, Hong Kong) | kWh/guest night/year | 37 | 309 | ||
| Big portfolio (Chinese Mainland Portfolio) | 0.99 | 309 | |||
| Big portfolio (Hong Kong Portfolio) | 0.82 | 309 | |||
| Big portfolio (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | 0.87 | 309 | |||
| Big portfolio (U.S.A. Portfolio) | N/A | 309 | |||
| Board Diversity - Maintain no less than % of female representation on the Board | % | 30% | 288 | ||
| Corporate Governance - Female representation on Board | % | 35.7 | 16 | ||
| Diversity & Inclusion - Female representation in workforce | % | 49.6 | 16 | ||
| Diversity & Inclusion - Gender pay ratio (female:male) | 1.02 | 16 | |||
| Diversity & Inclusion - Women in management positions | % | 42.9 | 16 | ||
| Employer Branding - Net Promoter Score improvement | % | 10% | 288 | ||
| Engagement - Employee engagement index at or above | % | 90% | 288 | ||
| Female in STEM-related positions (% of total STEM-related positions) - Chinese Mainland Portfolio | % | 37.9 | 315 | ||
| Female in STEM-related positions (% of total STEM-related positions) - Hong Kong Portfolio | % | 24.7 | 315 | ||
| Female in STEM-related positions (% of total STEM-related positions) - Hotels | % | 40.8 | 315 | ||
| Female in STEM-related positions (% of total STEM-related positions) - Total | % | 33.2 | 315 | ||
| Female in STEM-related positions (% of total STEM-related positions) - U.S.A. Portfolio | % | 34.8 | 315 | ||
| Female in management positions (% of total management workforce) - Chinese Mainland Portfolio | % | 52.9 | 315 | ||
| Female in management positions (% of total management workforce) - Hong Kong Portfolio | % | 53.5 | 315 | ||
| Female in management positions (% of total management workforce) - Hotels | % | 46.6 | 315 | ||
| Female in management positions (% of total management workforce) - Total | % | 52.3 | 315 | ||
| Female in management positions (% of total management workforce) - U.S.A. Portfolio | % | 41.5 | 315 | ||
| Female in non-management positions (% of total non-management workforce) - Chinese Mainland Portfolio | % | 63.6 | 315 | ||
| Female in non-management positions (% of total non-management workforce) - Hong Kong Portfolio | % | 57.1 | 315 | ||
| Female in non-management positions (% of total non-management workforce) - Hotels | % | 63.9 | 315 | ||
| Female in non-management positions (% of total non-management workforce) - Total | % | 63.4 | 315 | ||
| Female in non-management positions (% of total non-management workforce) - U.S.A. Portfolio | % | 47.9 | 315 | ||
| Female representation in the workforce | % | 41.9 | 119 | ||
| Gender Pay Ratio (Female to Male) - Management - Chinese Mainland Portfolio | 1.03 | 314 | |||
| Gender Pay Ratio (Female to Male) - Management - Hong Kong Portfolio | 1.04 | 314 | |||
| Gender Pay Ratio (Female to Male) - Management - Hotels | 1.14 | 314 | |||
| Gender Pay Ratio (Female to Male) - Management - Total | 1.05 | 314 | |||
| Gender Pay Ratio (Female to Male) - Management - U.S.A. Portfolio | 1.04 | 314 | |||
| Gender Pay Ratio (Female to Male) - Non-management - Chinese Mainland Portfolio | 1.04 | 314 | |||
| Gender Pay Ratio (Female to Male) - Non-management - Hong Kong Portfolio | 1.08 | 314 | |||
| Gender Pay Ratio (Female to Male) - Non-management - Hotels | 1.06 | 314 | |||
| Gender Pay Ratio (Female to Male) - Non-management - Total | 1.11 | 314 | |||
| Gender Pay Ratio (Female to Male) - Non-management - U.S.A. Portfolio | 1.03 | 314 | |||
| Gender Pay Ratio (Female to Male) - Total workforce - Chinese Mainland Portfolio | 1.09 | 314 | |||
| Gender Pay Ratio (Female to Male) - Total workforce - Hong Kong Portfolio | 1.07 | 314 | |||
| Gender Pay Ratio (Female to Male) - Total workforce - Hotels | 1.12 | 314 | |||
| Gender Pay Ratio (Female to Male) - Total workforce - Total | 1.07 | 314 | |||
| Gender Pay Ratio (Female to Male) - Total workforce - U.S.A. Portfolio | 1.09 | 314 | |||
| Gender pay ratio (female to male) | ratio | 0.92 | 119 | ||
| Percentage of senior management positions held by women | % | 42.9 | 119 | ||
| Policy, Strategy and Governance - Maintain a female representation of no less than 40% in the workforce | % | 40% | 288 | ||
| Policy, Strategy and Governance - Maintain gender pay ratio at 1:1 | 1:1 | 1:1 | 288 | ||
| Proportion and rate of employees by age group - Chinese Mainland Portfolio - Under 30 years old | 35.2% | 54 | 314 | ||
| Proportion and rate of employees by age group - Hong Kong Portfolio - Under 30 years old | 10.0% | 11 | 314 | ||
| Proportion and rate of employees by age group - Hotels - Under 30 years old | 21.0% | 410 | 314 | ||
| Proportion and rate of employees by age group - Total - Under 30 years old | 18.0% | 478 | 314 | ||
| Proportion and rate of employees by age group - U.S.A. Portfolio - Under 30 years old | 4.3% | 3 | 314 | ||
| Proportion and rate of employees by gender - Chinese Mainland Portfolio - Female | 50.1% | 77 | 314 | ||
| Proportion and rate of employees by gender - Hong Kong Portfolio - Female | 62.0% | 68 | 314 | ||
| Proportion and rate of employees by gender - Hotels - Female | 58.0% | 1131 | 314 | ||
| Proportion and rate of employees by gender - Total - Female | 48.6% | 1288 | 314 | ||
| Proportion and rate of employees by gender - U.S.A. Portfolio - Female | 17.4% | 12 | 314 | ||
| Proportion and rate of employees by management role - Chinese Mainland Portfolio - Management | 4.9% | 65 | 314 | ||
| Proportion and rate of employees by management role - Hong Kong Portfolio - Management | 7.2% | 8 | 314 | ||
| Proportion and rate of employees by management role - Hotels - Management | 2.0% | 39 | 314 | ||
| Proportion and rate of employees by management role - Total - Management | 6.4% | 223 | 314 | ||
| Proportion and rate of employees by management role - U.S.A. Portfolio - Management | 2.3% | 1 | 314 | ||
| Return to work rate (Parental Leave) - Chinese Mainland Portfolio - Female | 34 | 314 | |||
| Return to work rate (Parental Leave) - Chinese Mainland Portfolio - Male | 91.2% | 314 | |||
| Return to work rate (Parental Leave) - Hong Kong Portfolio - Female | 15 | 314 | |||
| Return to work rate (Parental Leave) - Hong Kong Portfolio - Male | 100% | 314 | |||
| Return to work rate (Parental Leave) - Hotels - Female | 20 | 314 | |||
| Return to work rate (Parental Leave) - Hotels - Male | 100% | 314 | |||
| Return to work rate (Parental Leave) - Total - Female | 69 | 314 | |||
| Return to work rate (Parental Leave) - Total - Male | 95.9% | 314 | |||
| Return to work rate (Parental Leave) - U.S.A. Portfolio - Male | 100% | 314 | |||
| Total New Hires | persons | 1609 | 94 | ||
| Total New Hires in Chinese Mainland | persons | 789 | 94 | ||
| Total New Hires in Hong Kong | persons | 717 | 94 | ||
| Total New Hires in Hong Kong (percentage of total) | % | 44.6 | 94 | ||
| Total New Hires in Miami, U.S.A. | persons | 102 | 94 | ||
| Total New Hires in Miami, U.S.A. (percentage of total) | % | 6.3 | 94 | ||
| Total New Hires in Others | persons | 1 | 94 | ||
| Total New Hires in Others (percentage of total) | % | 0.1 | 94 | ||
| Total average tenure of permanent employees - Chinese Mainland Portfolio | years | 5.3 | 314 | ||
| Total average tenure of permanent employees - Hong Kong Portfolio | years | 8.3 | 314 | ||
| Total average tenure of permanent employees - Hotels | years | 4.1 | 314 | ||
| Total average tenure of permanent employees - Total | years | 6.0 | 314 | ||
| Total average tenure of permanent employees - U.S.A. Portfolio | years | 4.3 | 314 | ||
| Total number of employees entitled to parental leave - Chinese Mainland Portfolio | 2300 | 314 | |||
| Total number of employees entitled to parental leave - Hong Kong Portfolio | 2332 | 314 | |||
| Total number of employees entitled to parental leave - Hotels | 1911 | 314 | |||
| Total number of employees entitled to parental leave - Total | 6657 | 314 | |||
| Total number of employees entitled to parental leave - U.S.A. Portfolio | 84 | 314 | |||
| Total number of employees took parental leave - Chinese Mainland Portfolio | 1441 | 314 | |||
| Total number of employees took parental leave - Hong Kong Portfolio | 1444 | 314 | |||
| Total number of employees took parental leave - Hotels | 961 | 314 | |||
| Total number of employees took parental leave - Total | 3897 | 314 | |||
| Total number of employees took parental leave - U.S.A. Portfolio | 51 | 314 | |||
| Total workforce - Chinese Mainland Portfolio | 2330 | 313 | |||
| Total workforce - Hong Kong Portfolio | 2489 | 313 | |||
| Total workforce - Hotels | 2082 | 313 | |||
| Total workforce - Total | 6986 | 313 | |||
| Total workforce - U.S.A. Portfolio | 85 | 313 | |||
| Total workforce by age group - 30-50 years old (Chinese Mainland Portfolio) | 71.6% | 1667 | 313 | ||
| Total workforce by age group - 30-50 years old (Hong Kong Portfolio) | 74.2% | 1846 | 313 | ||
| Total workforce by age group - 30-50 years old (Hotels) | 64.8% | 1349 | 313 | ||
| Total workforce by age group - 30-50 years old (Total) | 70.4% | 4913 | 313 | ||
| Total workforce by age group - 30-50 years old (U.S.A. Portfolio) | 59.5% | 51 | 313 | ||
| Total workforce by age group - Over 50 years old (Chinese Mainland Portfolio) | 22.2% | 517 | 313 | ||
| Total workforce by age group - Over 50 years old (Hong Kong Portfolio) | 11.1% | 277 | 313 | ||
| Total workforce by age group - Over 50 years old (Hotels) | 24.7% | 514 | 313 | ||
| Total workforce by age group - Over 50 years old (Total) | 19.0% | 1328 | 313 | ||
| Total workforce by age group - Over 50 years old (U.S.A. Portfolio) | 24.0% | 20 | 313 | ||
| Total workforce by age group - Under 30 years old (Chinese Mainland Portfolio) | 6.3% | 146 | 313 | ||
| Total workforce by age group - Under 30 years old (Hong Kong Portfolio) | 14.7% | 366 | 313 | ||
| Total workforce by age group - Under 30 years old (Hotels) | 10.5% | 219 | 313 | ||
| Total workforce by age group - Under 30 years old (Total) | 10.7% | 745 | 313 | ||
| Total workforce by age group - Under 30 years old (U.S.A. Portfolio) | 16.5% | 14 | 313 | ||
| Total workforce by employment contract - Fixed-term/temporary (Hong Kong Portfolio) | 11.8% | 264 | 313 | ||
| Total workforce by employment contract - Fixed-term/temporary (Hotels) | 7.0% | 186 | 313 | ||
| Total workforce by employment contract - Fixed-term/temporary (Total) | 6.2% | 431 | 313 | ||
| Total workforce by employment contract - Part-time (Hong Kong Portfolio) | 17.2% | 409 | 313 | ||
| Total workforce by employment contract - Part-time (Hotels) | 51.2% | 1066 | 313 | ||
| Total workforce by employment contract - Part-time (Total) | 21.1% | 1475 | 313 | ||
| Total workforce by employment contract - Permanent (Chinese Mainland Portfolio) | 100% | 2330 | 313 | ||
| Total workforce by employment contract - Permanent (Hong Kong Portfolio) | 86.5% | 2153 | 313 | ||
| Total workforce by employment contract - Permanent (Hotels) | 76.7% | 1596 | 313 | ||
| Total workforce by employment contract - Permanent (Total) | 88.3% | 6164 | 313 | ||
| Total workforce by employment contract - Permanent (U.S.A. Portfolio) | 100% | 85 | 313 | ||
| Total workforce by gender - Female (Chinese Mainland Portfolio) | 37.3% | 869 | 313 | ||
| Total workforce by gender - Female (Hong Kong Portfolio) | 40.5% | 1009 | 313 | ||
| Total workforce by gender - Female (Hotels) | 51.1% | 1065 | 313 | ||
| Total workforce by gender - Female (Total) | 42.6% | 2980 | 313 | ||
| Total workforce by gender - Female (U.S.A. Portfolio) | 43.5% | 37 | 313 | ||
| Total workforce by gender - Male (Chinese Mainland Portfolio) | 62.7% | 1461 | 313 | ||
| Total workforce by gender - Male (Hong Kong Portfolio) | 59.5% | 1480 | 313 | ||
| Total workforce by gender - Male (Hotels) | 48.9% | 1017 | 313 | ||
| Total workforce by gender - Male (Total) | 57.4% | 4006 | 313 | ||
| Total workforce by gender - Male (U.S.A. Portfolio) | 56.5% | 48 | 313 | ||
| Total workforce by geographic region - Chinese Mainland | 100% | 2330 | 313 | ||
| Total workforce by geographic region - Hong Kong | 99.7% | 2489 | 313 | ||
| Total workforce by geographic region - Hotels | 51.0% | 1061 | 313 | ||
| Total workforce by geographic region - Total | 100% | 6986 | 313 | ||
| Total workforce by geographic region - U.S.A. | 100% | 85 | 313 | ||
| Total workforce by management role - Management (Chinese Mainland Portfolio) | 17.0% | 397 | 313 | ||
| Total workforce by management role - Management (Hong Kong Portfolio) | 24.8% | 617 | 313 | ||
| Total workforce by management role - Management (Hotels) | 6.6% | 138 | 313 | ||
| Total workforce by management role - Management (Total) | 17.1% | 1193 | 313 | ||
| Total workforce by management role - Management (U.S.A. Portfolio) | 48.2% | 41 | 313 | ||
| Total workforce by management role - Non management (Chinese Mainland Portfolio) | 83.0% | 1933 | 313 | ||
| Total workforce by management role - Non management (Hong Kong Portfolio) | 75.2% | 1872 | 313 | ||
| Total workforce by management role - Non management (Hotels) | 93.4% | 1944 | 313 | ||
| Total workforce by management role - Non management (Total) | 82.9% | 5793 | 313 | ||
| Total workforce by management role - Non management (U.S.A. Portfolio) | 51.8% | 44 | 313 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2025 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate | % | 15.5 | 91 | |
| Engagement - Improve turnover rate by | % | 5.5% | 288 | |
| Improvement in employee turnover rate compared to 2018 baseline | % | 34.2 | 91 | |
| Total New Hires in Chinese Mainland (percentage of total) | % | 49 | 94 | |
| Total number and rate of new hires - Chinese Mainland Portfolio | 21.8% | 508 | 313 | |
| Total number and rate of new hires - Hong Kong Portfolio | 20.2% | 503 | 313 | |
| Total number and rate of new hires - Hotels | 13.6% | 283 | 313 | |
| Total number and rate of new hires - Total | 18.7% | 1309 | 313 | |
| Total number and rate of new hires - U.S.A. Portfolio | 17.6% | 15 | 313 | |
| Total number and rate of total turnover - Chinese Mainland Portfolio | 11.2% | 240 | 313 | |
| Total number and rate of total turnover - Hong Kong Portfolio | 21.6% | 495 | 313 | |
| Total number and rate of total turnover - Hotels | 16.7% | 347 | 313 | |
| Total number and rate of total turnover - Total | 15.7% | 1096 | 313 | |
| Total number and rate of total turnover - U.S.A. Portfolio | 16.7% | 14 | 313 | |
| Total number and rate of voluntary turnover - Chinese Mainland Portfolio | 8.5% | 197 | 313 | |
| Total number and rate of voluntary turnover - Hong Kong Portfolio | 14.7% | 369 | 313 | |
| Total number and rate of voluntary turnover - Hotels | 22.4% | 426 | 313 | |
| Total number and rate of voluntary turnover - Total | 15.5% | 1000 | 313 | |
| Total number and rate of voluntary turnover - U.S.A. Portfolio | 5.9% | 5 | 313 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2023 | 2025 | Report Pages |
|---|---|---|---|---|
| Accident Rate of Contractor Workers at Hong Kong Development Projects | per 1000 contractor workers per year | 3.46 | 146 | |
| Occupational Health and Safety (Development Projects) - Accident rate (contractor) | 0.06 | 316 | ||
| Occupational Health and Safety (Development Projects) - Number of reportable injuries | 3 | 316 | ||
| Occupational Health and Safety - Lost Time Injury Rate (LTIR) for hotel operations | 1.16 | 16 | ||
| Occupational Health and Safety - Lost Time Injury Rate (LTIR) for non-hotel operations | 0.64 | 16 | ||
| Occupational Health and Safety - Lost time injury rate (LTIR) (employees) | 0.41 | 316 | ||
| Occupational Health and Safety - Lost time injury rate (LTIR) (employees) - Chinese Mainland Portfolio | 0.27 | 316 | ||
| Occupational Health and Safety - Lost time injury rate (LTIR) (employees) - Hotels | 0.66 | 316 | ||
| Occupational Health and Safety - Number of reportable injuries | 22 | 316 | ||
| Occupational Health and Safety - Number of reportable injuries - Chinese Mainland Portfolio | 2 | 316 | ||
| Occupational Health and Safety - Number of reportable injuries - Hotels | 18 | 316 | ||
| Reduction in 5-year rolling average of accident rate per 1000 contractor workers in Hong Kong development projects | % | 58 | 135 | |
| Target reduction in 5-year rolling average of accident rate per 1000 contractor workers in Hong Kong development projects | % | 50 | 135 |
Lost days due to work injury.
| Indicator | Unit | 2023 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Health and Safety - Reduce 5-year rolling average of accident rate in key development projects by | % | 50% | 70% | 288 | |
| Health and Safety - Reduce 5-year rolling average of accident rate to below 1.0 per 1000 contractor hours for key development projects | accident rate per 1000 contractor hours | 1.0 | 1.0 | 288 | |
| Lost Time Injury Rate of Contractor Workers at Hong Kong Development Projects | per 100 contractor workers per year | 0.24 | 146 | ||
| Occupational Health and Safety (Development Projects) - Lost time injury rate (LTIR) | 0.46 | 316 | |||
| Occupational Health and Safety - Lost day rate (LDR) (employees) | 21.7 | 316 | |||
| Occupational Health and Safety - Lost day rate (LDR) (employees) - Chinese Mainland Portfolio | 1.40 | 316 | |||
| Occupational Health and Safety - Lost day rate (LDR) (employees) - Hotels | 89.6 | 316 | |||
| Safety - Maintain an LTIR at or below 2.0 for non-hotels (per 1000 contractors’ operations hours) | LTIR per 1000 contractor hours | 2.0 | 288 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Employee engagement index rating | % | 89 | 91 |
| Total number and percentage of employees received training - Chinese Mainland Portfolio | number; % | 3239; 99.9 | 315 |
| Total number and percentage of employees received training - Hong Kong Portfolio | number; % | 2378; 99.8 | 315 |
| Total number and percentage of employees received training - Hotels | number; % | 2062; 100 | 315 |
| Total number and percentage of employees received training - Total | number; % | 6854; 99.8 | 315 |
| Total number and percentage of employees received training - U.S.A. Portfolio | number; % | 85; 100 | 315 |
| Training on human rights - Percentage of employees received human rights-related training - Chinese Mainland Portfolio | number; % | 3238; 99.9 | 315 |
| Training on human rights - Percentage of employees received human rights-related training - Hong Kong Portfolio | number; % | 2377; 99.6 | 315 |
| Training on human rights - Percentage of employees received human rights-related training - Hotels | number; % | 2062; 100 | 315 |
| Training on human rights - Percentage of employees received human rights-related training - Total | number; % | 6878; 99.7 | 315 |
| Training on human rights - Percentage of employees received human rights-related training - U.S.A. Portfolio | number; % | 85; 100 | 315 |
| Unconscious bias-related training - By management role: Management | persons | 179 | 316 |
| Unconscious bias-related training - By management role: Non-management | persons | 492 | 316 |
| Unconscious bias-related training - Percentage of employees received unconscious bias-related training | % | 14.6 | 316 |
| Unconscious bias-related training - Total number of persons unconscious bias training | persons | 671 | 316 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2025 | Report Pages |
|---|---|---|---|---|
| Average training hours by employee - Chinese Mainland Portfolio | hours | 21.5 | 315 | |
| Average training hours by employee - Hong Kong Portfolio | hours | 8.9 | 315 | |
| Average training hours by employee - Hotels | hours | 40.3 | 315 | |
| Average training hours by employee - Total | hours | 21.0 | 315 | |
| Average training hours by employee - U.S.A. Portfolio | hours | 11.9 | 315 | |
| Average training hours per employee | hours/employee | 23 | 91 | |
| Chief Executive pay to employee pay ratio | ratio | 26.6 | 119 | |
| Increase in average training hours per employee compared to 2016 baseline | % | 89 | 91 | |
| Learning and Development - Increase in training hours per employee per year | % | 25% | 288 | |
| Talent Management - Average training hours per employee per year | hours/employee/year | 23 | 16 | |
| Talent Management - Total training hours delivered | hours | 157000 | 16 | |
| Total number and percentage of employees receiving regular performance review - Chinese Mainland Portfolio | 100% | 2330 | 314 | |
| Total number and percentage of employees receiving regular performance review - Hong Kong Portfolio | 97.4% | 2332 | 314 | |
| Total number and percentage of employees receiving regular performance review - Hotels | 98.5% | 1975 | 314 | |
| Total number and percentage of employees receiving regular performance review - Total | 97.3% | 6722 | 314 | |
| Total number and percentage of employees receiving regular performance review - U.S.A. Portfolio | 100% | 85 | 314 | |
| Total training hours by type of training - Mandatory - Chinese Mainland Portfolio | hours | 30652.6 | 315 | |
| Total training hours by type of training - Mandatory - Hong Kong Portfolio | hours | 5080.0 | 315 | |
| Total training hours by type of training - Mandatory - Hotels | hours | 24845.2 | 315 | |
| Total training hours by type of training - Mandatory - Total | hours | 61524.0 | 315 | |
| Total training hours by type of training - Mandatory - U.S.A. Portfolio | hours | 1088.4 | 315 | |
| Total training hours delivered | hours | 157955 | 91 |
Description of steps taken to eliminate such practices when discovered.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| KPI B4.2 - Description of steps taken to eliminate such practices when discovered | In 2023, we did not discover any such practices in our operations. | 333 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Total portfolio (Chinese Mainland Portfolio) | kWh/sq.m/year | 1.18 | 309 |
| Total portfolio (Hong Kong Portfolio) | kWh/sq.m/year | 1.60 | 309 |
| Total portfolio (Hong Kong, Chinese Mainland and U.S.A. Portfolio Total) | kWh/sq.m/year | 1.15 | 309 |
| Total portfolio (U.S.A. Portfolio) | kWh/sq.m/year | 1.78 | 309 |
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 |
|---|---|---|---|---|
| Suppliers - Maintain 100% implementation of the Supplier Code of Conduct in all portfolios | % | 100% | 100% | 288 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|
| Purchased goods and services - Upstream emissions from extraction, production and transportation processes associated with Swire Properties' purchased goods and services | Tonnes of CO2e | 113849 | 90124 | 131214 | 97752 | 69605 | 310 |
| Suppliers - Accident rate per 1 million hours for Hong Kong development projects | % reduction | 58 | 16 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2023 | 2025 | Report Pages |
|---|---|---|---|---|
| Driving Impact - % of products and services purchased for wholly-owned and new/existing investment portfolios that shall be sustainable | % | 25% | 288 | |
| Number of tenants signed GPP in wholly-owned office portfolio in Hong Kong and Chinese Mainland | 90 | 135 | ||
| Percentage of products and services purchased for wholly-owned new and existing investment portfolios that are sustainable | % | 8 | 135 | |
| Suppliers - Amount spent on sustainable procurement | HKD million | HKD559 million | 16 | |
| Target percentage of products and services purchased for wholly-owned new and existing investment portfolios that shall be sustainable | % | 25 | 135 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| KPI B6.1 - Percentage of total products sold or shipped subject to recalls for safety and health reasons | In 2023, we were not aware of any recall concerning the provision and use of products and services for safety and health reasons that have a significant impact on Swire Properties. | 333 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2023 | 2025 | Report Pages |
|---|---|---|---|---|
| KPI B6.2 - Number of products and service related complaints received and how they are dealt with | In 2023, there were no substantiated complaints received relating to the provision and use of products and services that have a significant impact on Swire Properties. | 333 | ||
| Tenant Engagement - % of office tenants in wholly-owned portfolios sign the Green Performance Pledge | % | 50% | 288 | |
| Tenants - Number of F&B tenants in Hong Kong and Chinese Mainland with Green Kitchen Award | 107 | 16 | ||
| Tenants - Percentage of tenants in office portfolio signing Green Performance Pledge | % | 41 | 16 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Governance - Board age diversity (50-59 years old) | % | 35.7 | 316 |
| Governance - Board age diversity (60 years old or above) | % | 28.6 | 316 |
| Governance - Board age diversity (under 50 years old) | % | 35.7 | 316 |
| Governance - Board gender diversity (female) | % | 64.3 | 316 |
| Governance - Board local/non-local diversity (local) | % | 57.1 | 316 |
| Governance - Board local/non-local diversity (non-local) | % | 42.9 | 316 |
| Governance - Board tenure diversity (5-9 years) | % | 35.7 | 316 |
| Governance - Board tenure diversity (over 9 years) | % | 28.6 | 316 |
| Governance - Board tenure diversity (under 5 years) | % | 35.7 | 316 |
| Governance - Total number of Directors | 14 | 316 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Anti-corruption-related training - By management role: Management | persons | 610 | 316 |
| Anti-corruption-related training - By management role: Non-management | persons | 1245 | 316 |
| Anti-corruption-related training - Percentage of employees received anti-corruption-related training | % | 99.2 | 316 |
| Anti-corruption-related training - Total number of persons anti-corruption-related training | persons | 1855 | 316 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of Community Ambassadors involved | people | 2185 | 126 |
| Percentage of volunteer hours focused on Community | % | 21 | 126 |
| Percentage of volunteer hours focused on Education | % | 13 | 126 |
| Percentage of volunteer hours focused on Environmental initiatives | % | 36 | 126 |
| Percentage of volunteer hours focused on Health and Wellbeing | % | 30 | 126 |
| Volunteering - Community Ambassador Programme activities supported | 48 | 16 | |
| Wellness - Number of people engaged in urban biodiversity and community programmes at Taikoo Square and Taikoo Garden | people | 29000 | 16 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Financial Performance - Underlying profit attributable to shareholders | HKD million | HKD11570 million | 16 |
| Green Financing - Percentage of current bond and loan facilities from green financing | % | 60 | 16 |
| Number of activities supported by Community Ambassador Programme | activities | 48 | 126 |
| Total value of cash contributions (Community Investments and Contributions) | HKD million | 39 | 126 |
| Total value of in-kind contributions (Community Investments and Contributions) | HKD million | 9.9 | 126 |
| Total volunteer hours by Community Ambassador Programme | hours | 7544 | 126 |
| Volunteering - Community Ambassador Programme hours served | hours | 7544 | 16 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| SOₓ Emissions | Litres of ultra-low sulphur diesel consumed | 114742 |
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 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonnes of CO2e | 12244 | 9098 | 11241 | 10806 | 19579 |
| Indirect Energy Emissions (Scope 2) | Tonnes of CO2e | 217021 | 204189 | 163925 | 154793 | 161948 |
| Scope 3 GHG Emissions (Business Travel) | Tonnes of CO2e | 3360 | 1982 | 3764 | 4452 | 7476 |
| Scope 3 GHG Emissions (Capital Goods) | Tonnes of CO2e | 26783 | ||||
| Scope 3 GHG Emissions (Downstream Leased Assets) | Tonnes of CO2e | 179515 | 139414 | 131478 | 130657 | 133695 |
| 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 | 49 | 51 | 54 | 276 | |
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | Tonnes of CO2e | 1922 | 2063 | 2117 | 5729 | 6216 |
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | Tonnes of CO2e | 5953 | 5571 | 6652 | 5788 | 6141 |
| Scope 3 GHG Emissions (Use of Sold Products) | Tonnes of CO2e | 60025 | ||||
| Scope 3 GHG Emissions Intensity (By Area) | Tonnes of CO₂e/m²/year | 0.121 | 0.098 | 0.089 | 0.081 | 0.082 |
| Total GHG Emissions | Tonnes of CO₂e | 230265 | 203316 | 176841 | 165549 | 163150 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Hazardous Waste (Used Batteries) | Tonnes | 1 |
| Hazardous Waste Disposed | Tonnes | 1 |
| Hazardous Waste Recycled | Tonnes | 2 |
| Total Hazardous Waste | Tonnes | 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 | 2025 | 2030 |
|---|---|---|---|---|
| Diversion Rate of Non-Hazardous Waste | % | 38.89 | 30 | 50 |
| Glass Waste | Tonnes | 69 | ||
| Non-Hazardous Waste (Construction Waste) | Tonnes | 16567 | ||
| Non-Hazardous Waste (Kitchen Waste) | Tonnes | 46 | ||
| Non-Hazardous Waste Disposed | Tonnes | 41390 | ||
| Non-Hazardous Waste Recycled | Tonnes | 12381 | ||
| Non-Hazardous Waste Reused | Tonnes | 2341 | ||
| Paper Waste | Tonnes | 3347 | ||
| Plastic Waste | Tonnes | 145 | ||
| Recycling Rate of Non-Hazardous Waste | % | 40 | 45 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2025 | 2030 |
|---|---|---|---|---|
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 29 | ||
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2018 | % | 28 | ||
| Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2019 | % | 25 |
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 | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 |
|---|---|---|---|---|---|---|---|
| Diesel Fuel Consumption | litres | 430169 | |||||
| Direct Energy Intensity (By Area per Year) | GJ/sq.m/year | 0.011 | |||||
| Gasoline Consumption | Litres | 127063 | |||||
| Indirect Energy Intensity (By Area per Year) | GJ/sq.m/year | 0.317 | |||||
| Percentage of Renewable Energy Consumption | % | 13.2 | 14.3 | 19 | 24.1 | 26.3 | 6 |
| Renewable Energy Consumption | kWh | 440668 | |||||
| Total Direct Energy Consumption | Litres | 191770 | |||||
| Total Electricity Consumption Intensity (By Area) | kWh/m²/year | 237 | 204 | 195 | 117 | 97 | |
| Total Energy Consumption | GJ | 1313734 | 1216569 | 1248916 | 1248636 | 1269125 | |
| Total Indirect Energy Consumption | MWh | 848176 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| Total Wastewater Discharge | thousand litres | 35705 | ||||
| Total Water Withdrawal | thousand cubic metres | 2010 | 1759 | 1777 | 1633 | 1726 |
| Water Consumption | thousand cubic metres | 1728 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2025 | 2030 |
|---|---|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 7 | ||
| Target Electricity Usage Reduction Percentage by 2025 Compared to 2023 | % | 20 | ||
| Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % | 40 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Packaging Material Consumption (Plastic) | tonnes | 0.5 |
| Packaging Materials Consumed | tonnes | 7.8 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2024-2026 |
|---|---|---|
| Investment in Climate Change Management | HKD million | 3084 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Employees Aged 30-50 | 4913 | |
| Number of Employees Aged Above 50 | 1328 | |
| Number of Employees Aged Below 30 | 745 | |
| Number of Employees in Hong Kong | 2489 | |
| Number of Employees in Mainland China | 2330 | |
| Number of Employees in United States | 85 | |
| Number of Female Employees | 2980 | |
| Number of General Employees | 5793 | |
| Number of Male Employees | 4006 | |
| Number of New Employees | 1609 | |
| Number of New Employees (Hong Kong) | 717 | |
| Number of New Employees (Mainland China) | 789 | |
| Number of New Employees (Overseas) | 102 | |
| Number of Part-time Employees | 1475 | |
| Number of Senior Management Employees | 223 | |
| Number of Temporary Workers | 431 | |
| Number of Total Employees | 6986 | |
| Percentage of Employees Aged 30-50 | % | 70.4 |
| Percentage of Employees Aged Above 50 | % | 19 |
| Percentage of Employees Aged Below 30 | % | 10.7 |
| Percentage of Employees in Hong Kong | % | 99.7 |
| Percentage of Employees in Mainland China | % | 100 |
| Percentage of Employees in United States | % | 100 |
| Percentage of Female Employees | % | 42.6 |
| Percentage of General Employees | % | 82.9 |
| Percentage of Male Employees | % | 57.4 |
| Percentage of Part-time Employees | % | 21.1 |
| Percentage of Senior Management Employees | % | 6.4 |
| Percentage of Temporary Workers | % | 6.2 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Turnover Rate of Employees in Hong Kong | % | 21.6 |
| Turnover Rate of Employees in Mainland China | % | 11.2 |
| Turnover Rate of Employees in United States | % | 16.7 |
| Turnover Rate of Total Employees | % | 15.7 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 | 2025 | 2030 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries (Employees) | (Hotels) | 89.6 | ||
| Lost Days Due to Work-related Injuries (Mainland China) | 1.4 | |||
| Lost Time Injury Frequency Rate (Contractor) | per 100 contractor workers per year | 0.24 | 1 | 1 |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | per 1000 contractor hours | 0.46 | 2 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Participation Rate of Safety Training | % |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | % | 99.8 |
| Percentage of Trained Hong Kong Employees | % | 99.8 |
| Percentage of Trained Mainland China Employees | % | 99.9 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Average Training Hours (Hong Kong Employees) | hours | 8.9 |
| Average Training Hours (Mainland China Employees) | hours | 21.5 |
| Average Training Hours per Employee | hours/employee | 23 |
| Total Training Hours | hours | 157955 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 99.2 |
| Number of Directors and Management Attendance for Anti-corruption Training | persons | 610 |
| Number of General Employees Attendance for Anti-corruption Training | persons | 1245 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons | 1855 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Volunteer Activities Sessions | activities | 48 |
| Total Cash Donations | HKD million | 39 |
| Total In-kind Donations | HKD million | 9.9 |
| Total Social Investment | HKD million | 48.9 |
| Total Volunteer Service Hours | hours | 7544 |