Sustainability Report 2023/24
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019/20 | 2020/21 | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|---|---|
Category 11: Use of sold products | tonnes CO₂e | 793540 | 103 | ||||
Category 12: End-of-life treatment of sold products | tonnes CO₂e | 3499 | 103 | ||||
Category 13: Downstream leased assets | tonnes CO₂e | 333633 | 103 | ||||
Category 1: Purchased goods and services | tonnes CO₂e | 45288 | 103 | ||||
Category 3: Fuel- and energy-related activities | tonnes CO₂e | 10555 | 103 | ||||
Category 4: Upstream transportation and distribution (including construction materials) | tonnes CO₂e | 39733 | 103 | ||||
Category 6: Business travel | tonnes CO₂e | 28 | 209 | 494 | 103 | ||
Category 7: Employee commuting | tonnes CO₂e | 44778 | 103 | ||||
Direct GHG emissions (scope 1) | tonnes CO2 equivalent (tonnes CO2e), tonnes CO₂e | 40751 | 45827 | 3140 | 103, 110 | ||
GHG emission intensity (scope 1&2) – market-based, Construction | tonnes CO₂e/m² | 0.01 | 0.009 | 0.013 | 103 | ||
GHG emission intensity (scope 1&2) – market-based, Head office | tonnes CO₂e/m² | 0.074 | 0.07 | 0.07 | 103 | ||
GHG emission intensity (scope 1&2) – market-based, Hotels | tonnes CO₂e/room night | 0.033 | 0.034 | 0.027 | 103 | ||
GHG emission intensity (scope 1&2) – market-based, Property management | tonnes CO₂e/m² | 0.044 | 0.042 | 0.04 | 103 | ||
GHG emissions intensity (scope 1&2) - Head office | tonnes CO2e/m² | 0.1 | 0.02 | 0.02 | 110 | ||
GHG emissions intensity (scope 1&2) - Property management | tonnes CO2e/m² | 0.1 | 0.1 | 0.09 | 110 | ||
Indirect GHG emissions (scope 2) | tonnes CO2e | 51211 | 57840 | 54061 | 110 | ||
Indirect GHG emissions (scope 2) – location-based | tonnes CO₂e | 339981 | 339829 | 334528 | 103 | ||
Indirect GHG emissions (scope 2) – market-based | tonnes CO₂e | 212262 | 210896 | 205935 | 103 | ||
Indirect GHG emissions (scope 3) | tonnes CO₂e | 28 | 209 | 1774722 | 103 | ||
Scope 1 GHG emissions | tonnes CO2e | 43835 | 41 | ||||
Scope 1 and 2 GHG emissions intensity of major buildings monitored by the EOC | tonnes of CO2 equivalent per gross floor area (m2) | 0.0813 | 0.0617 | 0.0607 | 0.0593 | 0.0573 | 30 |
Scope 2 GHG emissions | tonnes CO2e | 205935 | 41 | ||||
Scope 3 GHG emissions | tonnes CO2e | 1774722 | 41 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Category 5: Waste generated in operations | tonnes CO₂e | 84549 | 103 | ||
Total hazardous wastes collected and recycled within the Group | kg | 10735 | 9689 | 10172 | 110 |
Total hazardous wastes collected and recycled within the group | kg | 11591 | 13908 | 27239 | 103 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Construction and demolition waste | tonnes | 55273 | 151099 | 90021 | 103 |
Construction and demolition waste recycled | tonnes | 407069 | 946626 | 190641 | 103 |
Electronic and electrical waste recycled | kg | 7512 | 11924 | 103 | |
General waste | tonnes | 14552 | 102188 | 27595* | 103, 110 |
Glass recycled | kg | 17296 | 18817 | 15915 | 103, 110 |
Metal recycled | kg | 775 | 3440402 | 1531448 | 103, 110 |
Paper recycled | kg | 1806345 | 2453599 | 2750470 | 103, 110 |
Plastic recycled | kg | 18676 | 19045 | 172984 | 103, 110 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2023/24 | FY2023/24 | FY2029/30 | Report Pages |
---|---|---|---|---|---|
GHG emissions intensity reduction progress for EOC-monitored buildings | % | -29.5 | 20 | ||
GHG emissions intensity reduction target for EOC-monitored buildings | % | 25 | 20 | ||
GHG emissions reduction in EOC-monitored buildings compared to previous year | tonnes CO2e | 4456 | 41 | ||
Savings in carbon taxes under NGFS Below 2°C scenario | million HKD | 17 | 41 |
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 | 2021/22 | 2022/23 | 2023/24 | FY2023/24 | FY2029/30 | Report Pages |
---|---|---|---|---|---|---|---|
Batteries recycled | kg | - | 159 | 90* | 103, 110 | ||
Construction waste diversion rate progress per year in Hong Kong construction projects in the reporting scope | % | 89.2 | 20 | ||||
Construction waste diversion target per year in Hong Kong construction projects in the reporting scope | % | 70 | 20 | ||||
Fluorescent lamp recycled | kg | - | 13 | 18 | 103, 110 | ||
Food waste recycled | kg | 4854133 | 4991695 | 479874 | 103, 110 | ||
Toner Cartridge recycled | kg | - | 77 | 216* | 103, 110 | ||
Used cooking oil recycled | kg | 3† | 130706 | 2 | 103, 110 | ||
Waste Oil recycled | kg | - | 9500* | 948 | 110 |
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 | 2019/20 | 2020/21 | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|---|---|
Centralized Heating - Head office | GJ, kWh | 1 | 1050 | 57411 | 110 | ||
Construction energy consumption | GJ | 186546 | 266191 | 287996 | 103 | ||
Diesel consumption - Construction | L | 3538318 | 5279475 | 5570143 | 104 | ||
Diesel consumption - Head office | L | 545 | 3612 | 1188 | 104, 110 | ||
Diesel consumption - Hotels | L | 6670 | 6465 | 9819 | 104 | ||
Diesel consumption - Property management | L | 1545 | 740 | 117098 | 104, 110 | ||
Diesel consumption - Total | L | 3653137 | 5368377 | 5699970 | 104 | ||
Electricity consumption | MWh | 302177 | 341287 | 341114 | 110 | ||
Electricity consumption (kWh) | kWh | 83938062 | 94801872 | 94753954 | 110 | ||
Electricity consumption (kWh) - Head office | kWh | 915228 | 11433376 | 11878329 | 110 | ||
Electricity consumption (kWh) - Property management | kWh | 83022534 | 83368496 | 82897025 | 110 | ||
Electricity consumption - Construction | GJ, kWh | 58560 | 20946736 | 87194 | 104 | ||
Electricity consumption - Head office | GJ, MWh, kWh | 3295 | 1895588 | 42421 | 104, 110 | ||
Electricity consumption - Hotels | GJ, kWh | 227911 | 224528 | 57991266 | 104 | ||
Electricity consumption - Property management | GJ, MWh, kWh | 298882 | 300127 | 298693 | 104, 110 | ||
Electricity consumption - Total | GJ, kWh | 1748473 | 485469570 | 477897476 | 104 | ||
Electricity consumption intensity of major buildings monitored by the EOC | kWh per gross floor area (m2) | 139.83 | 136.78 | 129.66 | 127.32 | 124.64 | 30 |
Energy intensity - Construction | GJ/m² | 0.11 | 0.11 | 0.16 | 104 | ||
Energy intensity - Head office | GJ/m² | 0.69 | 0.47 | 0.48 | 104, 110 | ||
Energy intensity - Hotels | GJ/room night | 0.33 | 0.33 | 0.26 | 104 | ||
Energy intensity - Property management | GJ/m² | 0.42 | 0.4 | 0.62 | 104, 110 | ||
Fuel consumption - Construction | GJ | 127986 | 190783 | 200803 | 104 | ||
Fuel consumption - Head office | GJ | 4476 | 1224 | 1378 | 104, 110 | ||
Fuel consumption - Hotels | GJ | 1110 | 622 | 792 | 104 | ||
Fuel consumption - Property management | GJ | 3913 | 3505 | 28 | 104, 110 | ||
Fuel consumption - Total | GJ | 137485 | 198339 | 209835 | 104 | ||
Gas consumption - Head office | GJ | 277 | 245 | 208 | 104 | ||
Gas consumption - Hotels | GJ | 43534 | 45681 | 42867 | 104 | ||
Gas consumption - Property management | GJ | 511098 | 539743 | 491680 | 104 | ||
Gas consumption - Total | GJ | 554990 | 585685 | 534755 | 104 | ||
Head office energy consumption | GJ | 11280 | 10498 | 10606 | 103 | ||
Hotels energy consumption | GJ | 227554 | 270831 | 252428 | 103 | ||
Natural Gas consumption - Head office | GJ | - | 14908 | 13021 | 110 | ||
Natural Gas consumption - Property management | GJ | 42848 | 50593 | 49072 | 110 | ||
Petrol consumption - Construction | L | 47783 | 65262 | 54033 | 104 | ||
Petrol consumption - Head office | L | 29979 | 34807 | 38284 | 104, 110 | ||
Petrol consumption - Hotels | L | 24636 | 10773 | 11946 | 104 | ||
Petrol consumption - Property management | L | "-" | 34807 | 218* | 104, 110 | ||
Petrol consumption - Total | L | 194781 | 171111 | 161468 | 104 | ||
Property management energy consumption | GJ | 1970486 | 1984178 | 1913919 | 103 | ||
Total energy consumption | GJ | 346129 | 2531589 | 391799 | 103, 110 | ||
Total energy consumption - Head office | GJ | 4360 | 58343 | 57427 | 110 | ||
Total energy consumption - Property management | GJ | 341769 | 335827 | 334552 | 110 | ||
Total renewable energy generated and exported – Solar | kWh | 303329 | 405893 | 465690 | 103 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Rain water recycled - Property management | m³ | 50 | 125 | 122 | 110 |
Total water consumption | m³ | 272212* | 794985 | 814919 | 110 |
Total water consumption - Construction | m³ | 562790 | 638115 | 1064317 | 104 |
Total water consumption - Group | m³ | 2727755 | 2797532 | 3213323 | 104 |
Total water consumption - Head office | m³ | 9016 | 5409 | 6961 | 104, 110 |
Total water consumption - Hotels | m³ | 524813 | 541752 | 526174 | 104 |
Total water consumption - Property management | m³ | 1634629 | 1610216 | 1615757 | 104, 110 |
Water intensity - Construction | m³/m² | 0.34 | 0.26 | 0.58 | 104 |
Water intensity - Head office | m³/m² | 0.25 | 0.2 | 0.3 | 104, 110 |
Water intensity - Hotels | m³/room night | 0.64 | 0.67 | 0.55 | 104 |
Water intensity - Property management | m³/m² | 0.33 | 1.33 | 1.3 | 104, 110 |
Water recycled - Property management | m³ | 1000 | 1600 | 1450 | 110 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023/24 | FY2023/24 | FY2029/30 | Report Pages |
---|---|---|---|---|---|
Electricity consumption intensity reduction progress for EOC-monitored buildings | % | -10.9 | 20 | ||
Electricity consumption intensity reduction target for EOC-monitored buildings | % | 13 | 20 | ||
Investment in energy-efficient or low-carbon products/services from property management subsidiaries | million HKD | ~85.4 | 41 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | FY2023/24 | FY2029/30 | Report Pages |
---|---|---|---|---|---|---|---|
Water recycled | m³ | 1000 | 1600 | 1450 | 110 | ||
Water use intensity reduction progress for EOC-monitored buildings | % | -4.7 | 20 | ||||
Water use intensity reduction target for EOC-monitored buildings | % | 5 | 20 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Major construction materials used - Bricks | piece | 1521856 | 3112985 | 2805835 | 104 |
Major construction materials used - Concrete | m³ | 569964 | 663575 | 544807 | 104 |
Major construction materials used - Steel | tonnes | 120471 | 199711 | 96238* | 104 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2023/24 | Report Pages |
---|---|---|---|
Percentage of annual capital investment in green building development | % | ~93 | 41 |
Percentage of gross rental income from certified green buildings | % | ~79 | 41 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | 2024 | Report Pages |
---|---|---|---|---|---|---|
Construction full-time workforce | no. of people | 3328 | 3537 | 3318 | 106 | |
Construction full-time workforce by gender (Female) | no. of people | 948 | 106 | |||
Construction full-time workforce by gender (Male) | no. of people | 2693 | 106 | |||
Full-time workforce by age group (Construction, 30-50) | no. of people | 1607 | 106 | |||
Full-time workforce by age group (Construction, Above 50) | no. of people | 1352 | 106 | |||
Full-time workforce by age group (Construction, Under 30) | no. of people | 464 | 106 | |||
Full-time workforce by age group (Head office, 30-50) | no. of people | 956 | 106 | |||
Full-time workforce by age group (Head office, Above 50) | no. of people | 566 | 106 | |||
Full-time workforce by age group (Head office, Under 30) | no. of people | 201 | 106 | |||
Full-time workforce by age group (Hotels, 30-50) | no. of people | 790 | 106 | |||
Full-time workforce by age group (Hotels, Above 50) | no. of people | 205 | 106 | |||
Full-time workforce by age group (Hotels, Under 30) | no. of people | 345 | 106 | |||
Full-time workforce by age group (Property management, 30-50) | no. of people | 5094 | 106 | |||
Full-time workforce by age group (Property management, Above 50) | no. of people | 13262 | 106 | |||
Full-time workforce by age group (Property management, Under 30) | no. of people | 1398 | 106 | |||
Full-time workforce by employee category (Managerial) | no. of people | 1505 | 106 | |||
Full-time workforce by employee category (Officer-grade) | no. of people | 3159 | 106 | |||
Full-time workforce by employee category (Operational) | no. of people | 18203 | 106 | |||
Full-time workforce by employee category (Supporting) | no. of people | 3473 | 106 | |||
Full-time workforce by employment contract | no. of people | 24335 | 23423 | 23087 | 106 | |
Full-time workforce by gender (Female) | no. of people | 12302 | 11675 | 11857 | 106 | |
Full-time workforce by gender (Male) | no. of people | 15068 | 14749 | 14483 | 106 | |
Full-time workforce by nationality (Construction, Chinese) | no. of people | 3400 | 106 | |||
Full-time workforce by nationality (Construction, Other Asian countries) | no. of people | 23 | 106 | |||
Full-time workforce by nationality (Head office, Chinese) | no. of people | 1665 | 106 | |||
Full-time workforce by nationality (Head office, Other Asian countries) | no. of people | 7 | 106 | |||
Full-time workforce by nationality (Hotels, Chinese) | no. of people | 1413 | 106 | |||
Full-time workforce by nationality (Hotels, European) | no. of people | 2 | 106 | |||
Full-time workforce by nationality (Hotels, Other Asian countries) | no. of people | 25 | 106 | |||
Full-time workforce by nationality (Property management, African) | no. of people | 4 | 106 | |||
Full-time workforce by nationality (Property management, Australian and New Zealander) | no. of people | 3 | 106 | |||
Full-time workforce by nationality (Property management, Chinese) | no. of people | 18805 | 106 | |||
Full-time workforce by nationality (Property management, European) | no. of people | 359 | 106 | |||
Full-time workforce by nationality (Property management, North, Central, and South America) | no. of people | 7 | 106 | |||
Full-time workforce by nationality (Property management, Other Asian countries) | no. of people | 576 | 106 | |||
Gender pay ratio (female to male) - Mean base salary for total workforce | ratio | 1.14 | 1.17 | 1.132 | 109 | |
Head office full-time workforce | no. of people | 1656 | 1696 | 1698 | 106 | |
Head office full-time workforce by gender (Female) | no. of people | 858 | 106 | |||
Head office full-time workforce by gender (Male) | no. of people | 840 | 106 | |||
Head office workforce | no. of people | 588 | 427 | 855 | 111 | |
Head office workforce by age group - 30–50 | no. of people | 1061 | 111 | |||
Head office workforce by age group - Above 50 | no. of people | 355 | 111 | |||
Head office workforce by age group - Under 30 | no. of people | 132 | 111 | |||
Head office workforce by gender - Female | no. of people | 654 | 111 | |||
Head office workforce by gender - Male | no. of people | 653 | 111 | |||
Hotels full-time workforce | no. of people | 1565 | 1491 | 1319 | 106 | |
Hotels full-time workforce by gender (Female) | no. of people | 492 | 106 | |||
Hotels full-time workforce by gender (Male) | no. of people | 827 | 106 | |||
Mean base salary by employee level - Executive | ratio | 1.113 | 1.108 | 1.153 | 109 | |
Mean base salary by employee level - Management | ratio | 1.113 | 1.117 | 1.106 | 109 | |
Mean base salary by employee level - Non-management | ratio | 1.121 | 1.134 | 1.122 | 109 | |
New hire by age group (Head office, Under 30) | %, no. of people | 39.8 | 106 | |||
New hire by age group - Head office - 30–50 | no. of people | 72 | 111 | |||
New hire by age group - Head office - Above 50 | no. of people | 5 | 111 | |||
New hire by age group - Head office - Under 30 | no. of people | 69 | 111 | |||
New hire by employee category - Managerial | %, no. of people | 170 | 34 | 107, 111 | ||
New hire by employee category - Officer-grade | %, no. of people | 27.8 | 718 | 107, 111 | ||
New hire by employee category - Operational | %, no. of people | 7804 | 37.5 | 107, 111 | ||
New hire by employee category - Supporting | %, no. of people | 1358 | 48 | 107, 111 | ||
New hire by gender (Construction, Female) | no. of people | 15 | 106 | |||
New hire by gender (Construction, Male) | no. of people | 296 | 106 | |||
New hire by gender (Head office, Female) | no. of people | 140 | 106 | |||
New hire by gender (Head office, Male) | no. of people | 81 | 106 | |||
New hire by gender (Hotels, Female) | no. of people | 221 | 106 | |||
New hire by gender (Hotels, Male) | no. of people | 266 | 106 | |||
New hire by gender (Property management, Female) | no. of people | 3322 | 106 | |||
New hire by gender (Property management, Male) | no. of people | 3767 | 106 | |||
New hire by gender - Head office - Female | no. of people | 74 | 111 | |||
New hire by gender - Head office - Male | no. of people | 40 | 111 | |||
New hire by gender - Property management - Female | no. of people | 192 | 111 | |||
New hire by gender - Property management - Male | no. of people | 162 | 111 | |||
New hire by nationality - Head office - Chinese | %, no. of people | 19.5 | 114 | 107, 111 | ||
New hire by nationality - Head office - North, Central, and South America | %, no. of people | 1 | 1 | 107 | ||
New hire by nationality - Head office - Other Asian countries | %, no. of people | 3 | 5 | 107 | ||
New hire by nationality - Property management - Chinese | %, no. of people | 464 | 111 | |||
Number of employees (Group, as at 30 June 2024) | employees | 40000 | 115 | |||
Number of employees aged 30–50 | %, no. of people | 187 | 192 | 13.8 | 107 | |
Number of employees aged above 50 | %, no. of people | 17 | 2.2 | 1.6 | 107 | |
Number of employees in Construction aged 30–50 | %, no. of people | 31.6 | 25.9 | 11.7 | 107 | |
Number of employees in Construction aged above 50 | %, no. of people | 361 | 341 | 208 | 107 | |
Number of employees in Construction aged under 30 | %, no. of people | 56.2 | 49 | 20.9 | 107 | |
Number of employees in Construction by nationality - Chinese | %, no. of people | 28.7 | 14.4 | 107 | ||
Number of employees in Construction by nationality - Other Asian countries | %, no. of people | 34.5 | 21.7 | 107 | ||
Number of employees in Hotels aged 30–50 | %, no. of people | 276 | 239 | 189 | 107 | |
Number of employees in Hotels aged above 50 | %, no. of people | 130 | 34.2 | 107 | 107 | |
Number of employees in Hotels aged under 30 | %, no. of people | 50.6 | 35.7 | 99 | 107 | |
Number of employees in Hotels by nationality - Chinese | %, no. of people | 527 | 26.7 | 107 | ||
Number of employees in Hotels by nationality - European | %, no. of people | 4 | 100 | 107 | ||
Number of employees in Hotels by nationality - Other Asian countries | %, no. of people | 16 | 16 | 107 | ||
Number of employees in Property management aged 30–50 | %, no. of people | 34.5 | 40.3 | 1846 | 107 | |
Number of employees in Property management aged above 50 | %, no. of people | 42.3 | 40.4 | 36.8 | 107 | |
Number of employees in Property management aged under 30 | %, no. of people | 91.6 | 72.1 | 69.7 | 107 | |
Number of employees in Property management by nationality - African | %, no. of people | 80 | 1 | 107 | ||
Number of employees in Property management by nationality - Australian and New Zealander | no. of people | 1 | 107 | |||
Number of employees in Property management by nationality - Chinese | %, no. of people | 42.7 | 39.2 | 107 | ||
Number of employees in Property management by nationality - European | %, no. of people | 22 | 9 | 107 | ||
Number of employees in Property management by nationality - North, Central, and South America | %, no. of people | 20 | 3 | 107 | ||
Number of employees in Property management by nationality - Other Asian countries | %, no. of people | 400 | 322 | 107 | ||
Parental leave - Number of employees still employed 12 months after returning to work - Female | no. of people | 55 | 38 | 109, 112 | ||
Parental leave - Number of employees still employed 12 months after returning to work - Male | no. of people | 102 | 77 | 109, 112 | ||
Parental leave - Number of employees who returned to work after parental leave - Female | no. of people | 102 | 66 | 109, 112 | ||
Parental leave - Number of employees who returned to work after parental leave - Male | no. of people | 63 | 87 | 109, 112 | ||
Parental leave - Number of employees who returned to work after taking parental leave in the prior reporting year - Female | no. of people | 75 | 65 | 109, 112 | ||
Parental leave - Number of employees who returned to work after taking parental leave in the prior reporting year - Male | no. of people | 118 | 67 | 109, 112 | ||
Parental leave - Number of employees who took parental leave - Female | no. of people | 114 | 69 | 109, 112 | ||
Parental leave - Number of employees who took parental leave - Male | no. of people | 65 | 55 | 109, 112 | ||
Part-time workforce by gender (Property management, Female) | no. of people | 2823 | 2895 | 106 | ||
Part-time workforce by gender (Property management, Male) | no. of people | 1787 | 1824 | 106 | ||
Property management - 30–50 | no. of people | 213 | 111 | |||
Property management - Above 50 | no. of people | 65 | 111 | |||
Property management - Under 30 | no. of people | 228 | 111 | |||
Property management full-time workforce | no. of people | 17286 | 16988 | 16752 | 106 | |
Property management full-time workforce by gender (Female) | no. of people | 6356 | 106 | |||
Property management full-time workforce by gender (Male) | no. of people | 10396 | 106 | |||
Property management workforce | no. of people | 2526 | 2796 | 2806 | 111 | |
Property management workforce by age group - 30–50 | no. of people | 1734 | 111 | |||
Property management workforce by age group - Above 50 | no. of people | 349 | 111 | |||
Property management workforce by age group - Under 30 | no. of people | 723 | 111 | |||
Property management workforce by gender - Female | no. of people | 984 | 111 | |||
Property management workforce by gender - Male | no. of people | 1822 | 111 | |||
Total new hire | no. of people | 11187 | 10215 | 578 | 106, 111 | |
Total workforce | no. of people | 27370 | 31014 | 31064 | 106 | |
Total workforce by employee category - Managerial | no. of people | 486 | 111 | |||
Total workforce by employee category - Officer-grade | no. of people | 1052 | 111 | |||
Total workforce by employee category - Operational | no. of people | 2218 | 111 | |||
Total workforce by employee category - Supporting | no. of people | 367 | 111 | |||
Total workforce by employment contract - Contract | no. of people | 3593 | 4523 | 3661 | 111 | |
Total workforce by employment contract - Permanent | no. of people | 3829 | 4116 | 4123 | 111 | |
Total workforce by gender - Female | no. of people | 1515 | 1639 | 1648 | 111 | |
Total workforce by gender - Male | no. of people | 2314 | 2477 | 2475 | 111 | |
Total workforce by nationality - Head office - Chinese | no. of people | 1316 | 111 | |||
Total workforce by nationality - Head office - Other Asian countries | no. of people | 1 | 111 | |||
Total workforce by nationality - Property management - Chinese | no. of people | 2805 | 111 | |||
Total workforce by nationality - Property management - Other Asian countries | no. of people | 1 | 111 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Employee turnover by age group - Construction - 30–50 | %, no. of people | 232 | 221 | 8.9 | 108 |
Employee turnover by age group - Construction - Above 50 | %, no. of people | 114 | 8.6 | 6.3 | 108 |
Employee turnover by age group - Construction - Under 30 | %, no. of people | 23.7 | 17.6 | 83 | 108 |
Employee turnover by age group - Head office - 30–50 | %, no. of people | 18.7 | 146 | 43 | 108, 111 |
Employee turnover by age group - Head office - Above 50 | %, no. of people | 16 | 23 | 4 | 108, 111 |
Employee turnover by age group - Head office - Under 30 | %, no. of people | 95 | 30.1 | 46 | 108, 111 |
Employee turnover by age group - Hotels - 30–50 | %, no. of people | 318 | 39 | 39 | 108 |
Employee turnover by age group - Hotels - Above 50 | %, no. of people | 155 | 178 | 136 | 108 |
Employee turnover by age group - Hotels - Under 30 | %, no. of people | 46.8 | 30.8 | 100 | 108 |
Employee turnover by age group - Property management - 30–50 | %, no. of people | 23.3 | 24.9 | 117 | 108, 111 |
Employee turnover by age group - Property management - Above 50 | %, no. of people | 16.5 | 16.5 | 25.8 | 108, 111 |
Employee turnover by age group - Property management - Under 30 | %, no. of people | 44 | 45.1 | 34.6 | 108, 111 |
Employee turnover by employee category - Managerial | %, no. of people | 20 | 2.3 | 109 | 108, 112 |
Employee turnover by employee category - Officer-grade | %, no. of people | 19.5 | 17.8 | 15.5 | 108, 112 |
Employee turnover by employee category - Operational | %, no. of people | 24.5 | 4925 | 5124 | 108, 112 |
Employee turnover by employee category - Supporting | %, no. of people | 24.1 | 14.4 | 18.1 | 108, 112 |
Employee turnover by gender - Construction - Female | no. of people | 133 | 137 | 154 | 107 |
Employee turnover by gender - Construction - Male | %, no. of people | 11 | 180 | 229 | 107 |
Employee turnover by gender - Head office - Female | %, no. of people | 155 | 15.7 | 5.9 | 107, 111 |
Employee turnover by gender - Head office - Male | %, no. of people | 95 | 13.6 | 4.7 | 107, 111 |
Employee turnover by gender - Hotels - Female | %, no. of people | 288 | 367 | 38.9 | 107 |
Employee turnover by gender - Hotels - Male | %, no. of people | 343 | 27.2 | 37.8 | 107 |
Employee turnover by gender - Property management - Female | %, no. of people | 2155 | 19.1 | 2816 | 107, 111 |
Employee turnover by gender - Property management - Male | %, no. of people | 2425 | 1974 | 1952 | 107, 111 |
Employee turnover by nationality - Construction - Chinese | %, no. of people | 12.1 | 9.1 | 108 | |
Employee turnover by nationality - Construction - Other Asian countries | %, no. of people | 5 | 1 | 108 | |
Employee turnover by nationality - Head office - Australian and New Zealander | % | 14.3 | 108 | ||
Employee turnover by nationality - Head office - Chinese | %, no. of people | 231 | 70 | 108, 112 | |
Employee turnover by nationality - Head office - European | %, no. of people | 2 | 108 | ||
Employee turnover by nationality - Head office - North, Central, and South America | % | 5.3 | 0.4 | 108 | |
Employee turnover by nationality - Head office - Other Asian countries | %, no. of people | 5 | 1 | 108 | |
Employee turnover by nationality - Hotels - Chinese | %, no. of people | 594 | 33.3 | 108 | |
Employee turnover by nationality - Hotels - European | %, no. of people | 50 | 108 | ||
Employee turnover by nationality - Hotels - Other Asian countries | %, no. of people | 4 | 9 | 108 | |
Employee turnover by nationality - Property management - African | %, no. of people | 1 | 108 | ||
Employee turnover by nationality - Property management - Chinese | %, no. of people | 4935 | 19.6 | 108, 112 | |
Employee turnover by nationality - Property management - European | %, no. of people | 27 | 5 | 108 | |
Employee turnover by nationality - Property management - North, Central, and South America | %, no. of people | 2 | 1 | 108 | |
Employee turnover by nationality - Property management - Other Asian countries | %, no. of people | 48.9 | 34.5 | 108 | |
Parental leave - Retention rate | % | 73.3 | 65.5 | 87.5 | 109 |
Parental leave - Retention rate - Female | % | 81.5 | 112 | ||
Parental leave - Retention rate - Male | % | 82.1 | 112 | ||
Parental leave - Return to work rate | % | 89.5 | 95.7 | 98.9 | 109 |
Parental leave - Return to work rate - Female | % | 78.3 | 112 | ||
Parental leave - Return to work rate - Male | % | 100 | 112 | ||
Total employee turnover | no. of people | 571 | 6515 | 4867 | 107, 111 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
High-consequence work-related injury (exclude fatality) | no. of cases | 11 | 2 | 50* | 109, 112 |
Injury rate - Female | per 1000 workers, workers | 27.39 | 1.83 | 26.6 | 109, 112 |
Injury rate - Male | per 1000 workers, workers | 3.46 | 2.83 | 20.3 | 109, 112 |
Lost days due to work injury.
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Absentee rate - Female | % | 0.09 | 0.07 | 1.35 | 109, 112 |
Absentee rate - Male | % | 0.05 | 1.25 | 0.06 | 109, 112 |
Lost day rate - Female | % | 0.12 | 0.05 | 0.18 | 109, 112 |
Lost day rate - Male | % | 0.03 | 0.07 | 0.07 | 109, 112 |
Lost days - Female | days | 193 | 17088 | 16315 | 109, 112 |
Lost days - Male | days | 165 | 11921 | 9513 | 109, 112 |
Lost time injury frequency rate - contractors | per million hours worked | 3.38 | 4.21 | 4.03 | 109 |
Lost time injury frequency rate - employees | no. of lost time injury (NI) per million hours worked | 6.22 | 5.4 | 6.33 | 109 |
Lost time injury frequency rate among employees | no. of lost time injury (N) per million hours worked | 3.87 | 1.55 | 1.4 | 112 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|
Work-related ill health | no. of cases | 30* | 36* | 109 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Employees receiving regular performance review | %, no. of people | 4069 | 99.3 | 112 | |
Regular performance review - Full-time employees receiving performance reviews | %, no. of people | 26197 | 25260 | 96.1 | 108 |
Regular performance review by employee category - Managerial | %, no. of people | 99.2 | 109, 112 | ||
Regular performance review by employee category - Officer-grade | %, no. of people | 99.7 | 109, 112 | ||
Regular performance review by employee category - Operational | %, no. of people | 2204 | 109, 112 | ||
Regular performance review by employee category - Supporting | %, no. of people | 98.4 | 109, 112 | ||
Regular performance review by gender - Construction - Female | no. of people | 399 | 392 | 109 | |
Regular performance review by gender - Construction - Male | no. of people | 2077 | 1994 | 109 | |
Regular performance review by gender - Head office - Female | %, no. of people | 627 | 651 | 109, 112 | |
Regular performance review by gender - Head office - Male | %, no. of people | 97.9 | 644 | 109, 112 | |
Regular performance review by gender - Property management - Female | %, no. of people | 647 | 635 | 109, 112 | |
Regular performance review by gender - Property management - Male | %, no. of people | 99.6 | 99.3 | 109, 112 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | Report Pages |
---|---|---|---|---|---|
Average training hours per employee by gender and employee category - Managerial - Female | hours | 17.1 | 17.3 | 21.8 | 109, 112 |
Average training hours per employee by gender and employee category - Managerial - Male | hours | 16.4 | 12.8 | 7.6 | 109, 112 |
Average training hours per employee by gender and employee category - Office-grade - Female | hours | 29.3 | 25.8 | 51.1 | 109 |
Average training hours per employee by gender and employee category - Office-grade - Male | hours | 29.3 | 29 | 38.4 | 109 |
Average training hours per employee by gender and employee category - Officer-grade - Female | hours | 12.4 | 13.1 | 112 | |
Average training hours per employee by gender and employee category - Officer-grade - Male | hours | 8.2 | 7.7 | 112 | |
Average training hours per employee by gender and employee category - Operational - Female | hours | 3.3 | 19.3 | 12.9 | 109, 112 |
Average training hours per employee by gender and employee category - Operational - Male | hours | 3.3 | 17.7 | 20.7 | 109, 112 |
Average training hours per employee by gender and employee category - Supporting - Female | hours | 9.5 | 9.8 | 11.6 | 109, 112 |
Average training hours per employee by gender and employee category - Supporting - Male | hours | 7.5 | 15.8 | 11.1 | 109, 112 |
Total / Average training hours for health and safety | hours, hours per employee | 0.6 | 2.5 | 1.9 | 112 |
Total/Average training hours for health and safety at construction sites | hours per employee | 434990 | 601772 | 595410 | 109 |
Total/Average training hours for health and safety at construction sites - per employee | hours per employee | 15.9 | 22.8 | 22.6 | 109 |
Number of suppliers by geographical region.
Indicator | Unit | 2023/24 | Report Pages |
---|---|---|---|
Category 2: Capital goods (including construction materials) | tonnes CO₂e | 418653 | 103 |
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 | 2019/20 | 2020/21 | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 40751 | 45827 | 43835 | ||
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 51211 | 57840 | 54061 | ||
Scope 1 GHG Emissions | tonnes CO2e | 43835 | ||||
Scope 2 GHG Emissions | tonnes CO2e | 205935 | ||||
Scope 3 GHG Emissions | tonnes CO2e | 28 | 209 | 1774722 | ||
Scope 3 GHG Emissions (Business Travel) | tonnes CO2e | 28 | 209 | 494 | ||
Scope 3 GHG Emissions (Downstream Leased Assets) | tonnes CO2e | 333633 | ||||
Scope 3 GHG Emissions (Employee Commuting) | tonnes CO2e | 44778 | ||||
Scope 3 GHG Emissions (End-of-life Treatment of Sold Products) | tonnes CO2e | 3499 | ||||
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | tonnes CO2e | 10555 | ||||
Scope 3 GHG Emissions (Upstream Transportation and Distribution) | tonnes CO2e | 39733 | ||||
Scope 3 GHG Emissions (Use of Sold Products) | tonnes CO2e | 793540 | ||||
Total GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.0813 | 0.0617 | 0.0607 | 0.0593 | 0.0573 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 28 | 209 | 1774722 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|
Hazardous Waste Recycled | kg | 22326 | 23697 | 37411 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|
Glass Waste | kg | 85201 | 97855 | 84064 |
Non-Hazardous Waste (Construction Waste) | tonnes | 55273 | 151099 | 90021 |
Non-Hazardous Waste (Domestic Waste) | tonnes | 125186 | 120615 | 151080 |
Non-Hazardous Waste (Electronic Waste) | kg | 7512 | 11924 | |
Non-Hazardous Waste (Kitchen Waste) | kg | 5156498 | 5371882 | 6196626 |
Non-Hazardous Waste Recycled | kg | 5630199 | 6011876 | 7010915 |
Paper Waste | kg | 1987523 | 2676009 | 2979854 |
Plastic Waste | kg | 142476 | 115186 | 192603 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023/24 | 2029/30 |
---|---|---|---|
GHG Emissions Reduction Compared to Last Year | tonnes CO2e | 4456 | |
Percentage of Reduction in GHG Intensity Compared to Last Year | % | -29.5 | |
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2020 | % | 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 | 2029/30 |
---|---|---|
Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 70 |
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 | 2019/20 | 2020/21 | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|---|---|
Diesel Fuel Consumption | L | 3653137 | 5368377 | 5699970 | ||
Energy Consumption Intensity (By Area) | GJ/m² | 0.64 | 0.63 | 0.39 | ||
Gasoline Consumption | L | 194781 | 171111 | 161468 | ||
Natural Gas Consumption | GJ | 42848 | 50593 | 49072 | ||
Purchased Electricity | kWh | 485686943 | 485469570 | 477897476 | ||
Solar Energy | kWh | 303329 | 405893 | 465690 | ||
Total Electricity Consumption Intensity (By Area) | kWh per gross floor area (m2) | 139.83 | 136.78 | 129.66 | 127.32 | 124.64 |
Total Energy Consumption | GJ | 2440866 | 2531589 | 2465021 | ||
Total Indirect Energy Consumption | kWh | 485686943 | 485469570 | 477897476 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|
Recycled Water Usage | m³ | 1000 | 125 | 1450 |
Water Consumption | m³ | 562790 | 638115 | 695491 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023/24 | 2029/30 |
---|---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 10.9 | |
Investment in Energy-saving and Emission-reduction Technology Transformation | million HKD | 85.4 | |
Target Electricity Usage Reduction Percentage Compared to Last Year | % | 13 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023/24 | 2029/30 |
---|---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % | 5 | |
Water Consumption Reduction Percentage Compared to Last Year | % | -4.7 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2021/22 | 2022/23 | 2023/24 | 2024 |
---|---|---|---|---|---|
Number of Contractors | no. of people | 3593 | 4523 | 3661 | |
Number of Employees Aged 30-50 | no. of people | 187 | 192 | 132 | |
Number of Employees Aged Above 50 | no. of people | 17 | 17 | 12 | |
Number of Female Employees | no. of people | 12302 | 11675 | 11857 | |
Number of Full-time Employees | no. of people | 24335 | 23423 | 23087 | |
Number of Full-time Employees (Female) | no. of people | 12302 | 11675 | 11857 | |
Number of Full-time Employees (Male) | no. of people | 15068 | 14749 | 14483 | |
Number of Male Employees | no. of people | 15068 | 14749 | 14483 | |
Number of New Employees | no. of people | 11187 | 10215 | 8808 | |
Number of New Employees (Female) | no. of people | 1515 | 1639 | 1648 | |
Number of New Employees (Male) | no. of people | 2314 | 2477 | 2475 | |
Number of Part-time Employees (Female) | no. of people | 2823 | 2895 | ||
Number of Part-time Employees (Male) | no. of people | 1787 | 1824 | ||
Number of Total Employees | no. of people | 27370 | 31014 | 31064 | 40000 |
Percentage of Employees Aged 30-50 | % | 20.5 | 20.4 | 13.8 | |
Percentage of Employees Aged Above 50 | % | 3.1 | 2.2 | 1.6 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|
Percentage of Employees still Employed 12 Months after Return to Work | % | 86.4 | 65.5 | 87.5 |
Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 81.5 | ||
Percentage of Employees still Employed 12 Months after Return to Work (Male) | % | 82.1 | ||
Turnover Rate of Employees Aged 30-50 | % | 23.3 | 24.9 | 20.5 |
Turnover Rate of Employees Aged Above 50 | % | 16.5 | 16.5 | 25.8 |
Turnover Rate of Employees Aged Below 30 | % | 44 | 45.1 | 34.6 |
Turnover Rate of Female Employees | % | 0.09 | 0.07 | 0.07 |
Turnover Rate of Male Employees | % | 0.05 | 0.06 | 0.06 |
Turnover Rate of Total Employees | % | 0.09 | 0.07 | 0.07 |
Lost days due to work injury.
Standard Indicator | Unit | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 39897 | 29497 | 26550 |
Lost Time Injury Frequency Rate (Contractor) | per million hours worked | 3.38 | 4.21 | 4.03 |
Lost Time Injury Frequency Rate (Employees) | per million hours worked | 6.22 | 5.4 | 6.33 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2021/22 | 2022/23 | 2023/24 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 9.5 | 17.5 | 6 |
Average Training Hours (Male) | hours | 7.5 | 15.8 | 16.5 |
Average Training Hours (Operational Employees) | hours | 8.7 | 17.7 | 22.1 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Standard Indicator | Unit |
---|---|
Percentage of Recalled Products for Safety and Health Reasons | % |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit |
---|---|
Coverage of Anti-corruption Training for Employees | percent |