Sustainability Report 2023
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 | 2023 | 2025 | Report Pages |
|---|---|---|---|---|---|
| Investment Properties GHG Emissions Scope 1 | tCO2e | 69368 | 60923 | 65 | |
| Investment Properties GHG Emissions Scope 2 | tCO2e | 5298 | 4235 | 65 | |
| MTR Nordic - Decrease in carbon emissions in scope 1, 2 and 3 purchased goods and services, fuel and energy-related activities, and upstream transportation and distribution GHG emissions from a 2019 base year | % | 25.2 | 66 | ||
| Railway GHG Emissions Scope 1 | tCO2e | 225809 | 113790 | 65 | |
| Railway GHG Emissions Scope 2 | tCO2e | 1092794 | 874743 | 65 | |
| Railway GHG Emissions Scope 3 Category 3 | tCO2e | 36199 | 32136 | 65 | |
| Scope 3 Emissions Cat. 1 - Purchased goods and services | tCO2e | 613954 | 308501 | 65 | |
| Scope 3 Emissions Cat. 13 - Downstream leased assets | tCO2e | 29589 | 65 | ||
| Scope 3 Emissions Cat. 2 - Capital goods | tCO2e | 162806 | 151047 | 65 | |
| Scope 3 Emissions Cat. 3 - Fuel and energy related activities | tCO2e | 512412 | 713114 | 65 | |
| Scope 3 Emissions Cat. 5 - Waste generated in operations | tCO2e | 54091 | 122088 | 65 | |
| Scope 3 Emissions Cat. 6 - Business travel | tCO2e | 30161 | 78337 | 65 | |
| Scope 3 Emissions Cat. 7 - Employee commuting | tCO2e | 2216 | 1489 | 65 | |
| Scope 3 Emissions Cat. 8 - Upstream leased assets | tCO2e | 91738 | 108317 | 65 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Percentage of managed residential properties that have collected glass containers for recycling | % | 86 | 22 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2025 | 2030 | 2045 | Report Pages |
|---|---|---|---|---|---|
| GHG emissions reduction from investment properties per square metre of floor area (SBTi-approved target, from 2019 base year) | percent | 58.6 | 87 | ||
| GHG emissions reduction target (Scope 1, 2, 3) based on 2019 baseline (MTR Nordic) | % | 25.2 | 69 | ||
| MTR Elizabeth line - Net Zero target for Scopes 1 and 2 based on 2022/23 baseline | Net Zero | 66 | |||
| MTR Elizabeth line - Net Zero target for all scopes based on 2022/23 baseline | Net Zero | 66 | |||
| targeted reduction in GHG emissions by 2030 (using 2019 as the base year) | of GHG emissions | about half | 3 |
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 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Capital and Operating Expenditures in Maintaining, Upgrading and Renewing the Existing Hong Kong Railway System | HK$ million | 13681 | 16 | ||||||
| Electricity Consumption in Hong Kong - Heavy Rail | MWh | 1503627 | 1495525 | 1591132 | 67 | ||||
| Electricity Consumption in Hong Kong - Light Rail | MWh | 51534 | 49821 | 50812 | 67 | ||||
| Electricity Consumption in Hong Kong - Properties | MWh | 411914 | 415819 | 449970 | 67 | ||||
| Electricity Consumption in Hong Kong - Sub-total Railway Operations | MWh | 1555341 | 1545346 | 1641944 | 67 | ||||
| Electricity Consumption in Hong Kong - Total | MWh | 1967125 | 1961166 | 2091914 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Elizabeth line (United Kingdom) | GWh | 108.29 | 248.42 | 292.18 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Hangzhou Metro Line 5 | GWh | 192.52 | 186.66 | 194.83 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Hong Kong Operating Network | GWh | 1503.68 | 1495.53 | 1591.13 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - MTRX (Sweden) | GWh | 15.33 | 19.28 | 20.85 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Melbourne’s Metropolitan Rail Service (Australia) | GWh | 465.64 | 439.35 | 418.76 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Mälartåg (Sweden) | GWh | n/a | 94.43 | 99.82 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Shenzhen Metro Line 4 | GWh | 143.77 | 124.22 | 125.92 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Stockholm Metro (Sweden) | GWh | 172.05 | 168.68 | 165.53 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Stockholms Pendeltåg (Sweden) | GWh | 204.28 | 193 | 192.98 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Sydney Metro North West Line (Australia) | GWh | 84.62 | 82.1 | 86.67 | 67 | ||||
| Electricity Consumption of Heavy Rail Operations by Location - Total | GWh | 2890.18 | 3051.67 | 3188.65 | 67 | ||||
| Number of EV charging stations installed as of end-2023 | 127 | 22 | |||||||
| Number of EV charging stations installed in premises | 127 | 69 | |||||||
| Percentage of executive private vehicles replaced by EV or cancelled | % | 69 | 69 | ||||||
| Percentage of executive private vehicles replaced by EVs or cancelled | % | 69 | 22 | ||||||
| Target number of electric buses to be introduced by 2026 | e-buses | 30 | 68 | ||||||
| Target percentage of executive private vehicles to be replaced by EV by 2024 | % | 50 | 69 | ||||||
| Total renewable energy generated by solar systems | kWh | 729619 | 729619 | 22 | |||||
| Total system size of solar systems in office buildings, stations and depots | kWp | 1300 | 22 | ||||||
| additional EV charging stations installed across office buildings, malls and station carparks | 200+ | 25 | |||||||
| e-buses introduced | 30+ | 25 | |||||||
| executive private vehicles replaced by EV or cancelled | 100% | 25 | |||||||
| solar PV systems installed in depots and stations | systems | 3 | 25 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| water saved in shopping malls compared to 2018 baseline | 5% | 25 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2024 | 2025 | 2026 | Report Pages |
|---|---|---|---|---|---|---|
| Annual energy consumption reduction of central chiller plant at Two ifc | % | 8.6 | 68 | |||
| Energy saving achieved by upgrading and replacing chiller plants in Headquarters and Fo Tan Railway House | % | 15 | 68 | |||
| MTR Nordic - Reduction target for total energy consumption | % | 15 | 66 | |||
| MTR shopping malls engaging tenants in energy saving measures | shopping malls | 4 | 25 | |||
| Percentage of managed residential properties that have conducted energy audits for the common areas | % | 79 | 22 | |||
| Percentage of managed residential properties that have developed energy saving plans | % | 30 | 22 | |||
| Percentage of water saved in 2025 with 2018 level as baseline for shopping malls | % | Over 3 | 22 | |||
| Percentage of water saved in depots in 2023 with 2022 level as baseline | Fell short | 22 | ||||
| chiller energy saving in Headquarters after chiller replacement programme compared with 2019 | 20% | 25 | ||||
| chiller energy saving in stations after Batch 2 chiller replacement | 20% | 25 | ||||
| existing shopping malls completing energy audit and developing energy saving plan | 100% | 25 | ||||
| managed residential properties conducting energy audit and developing energy saving plan | >70% | 25 |
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 | 2023-24 | Report Pages |
|---|---|---|---|
| additional water dispensers installed across stations | water dispensers | 8 | 25 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of additional bike parking spaces provided as of end-2023 compared with 2022 baseline | 1055 | 22 | ||
| Target number of participants in low-carbon initiatives (Carbon Wallet) | 50000 | 72 | ||
| managed residential properties collaborating to promote green lifestyles | >70% | 25 | ||
| residential estates participating in Mulching Pilot Scheme | >50% | 25 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| people participating in low-carbon initiatives | people | 50000+ | 25 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2009 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Dec 2023 | May 2015 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Average length of service - Hong Kong | years | 12.9 | 53 | ||||||||||||
| Board of Directors who will be women | 25% | 23 | |||||||||||||
| Economic Value Retained from Prior Years and Reinvested in 2023 | HK$ million | 3502 | 16 | ||||||||||||
| Fixed and Variable Annual Payments (KCRC) | HK$ million | 3105 | 16 | ||||||||||||
| Full time employees in Hong Kong (2022) | persons | 13110 | 39 | ||||||||||||
| Full time employees in Hong Kong (2023) | persons | 13513 | 39 | ||||||||||||
| Full time employees in Hong Kong, female (2022) | persons | 3694 | 39 | ||||||||||||
| Full time employees in Hong Kong, female (2023) | persons | 3892 | 39 | ||||||||||||
| Full-time employees in Hangzhou | employees | 4497 | 5072 | 4870 | 37 | ||||||||||
| Full-time employees in Hong Kong | employees | 16863 | 16804 | 17405 | 37 | ||||||||||
| Full-time employees in London | employees | 1132 | 1259 | 1265 | 37 | ||||||||||
| Full-time employees in Melbourne | employees | 245 | 294 | 478 | 37 | ||||||||||
| Full-time employees in Shenzhen | employees | 6005 | 6128 | 6452 | 37 | ||||||||||
| Full-time employees in Stockholm | employees | 2672 | 2796 | 2828 | 37 | ||||||||||
| Full-time employees in Sydney | employees | 1925 | 1925 | 2020 | 37 | ||||||||||
| Full-time employees with continuous contracts in Hong Kong (2022) | persons | 14299 | 39 | ||||||||||||
| Full-time employees with continuous contracts in Hong Kong (2023) | persons | 14698 | 39 | ||||||||||||
| Full-time employees with continuous contracts in Hong Kong, female (2022) | persons | 3046 | 39 | ||||||||||||
| Full-time employees with continuous contracts in Hong Kong, female (2023) | persons | 3186 | 39 | ||||||||||||
| Full-time employees with continuous contracts in Hong Kong, male (2022) | persons | 11253 | 39 | ||||||||||||
| Full-time employees with continuous contracts in Hong Kong, male (2023) | persons | 11412 | 39 | ||||||||||||
| Full-time employees with renewable contracts in Hong Kong (2022) | persons | 2426 | 39 | ||||||||||||
| Full-time employees with renewable contracts in Hong Kong (2023) | persons | 2676 | 39 | ||||||||||||
| Full-time employees with renewable contracts in Hong Kong, female (2022) | persons | 627 | 39 | ||||||||||||
| Full-time employees with renewable contracts in Hong Kong, female (2023) | persons | 668 | 39 | ||||||||||||
| Full-time employees with renewable contracts in Hong Kong, male (2022) | persons | 1799 | 39 | ||||||||||||
| Full-time employees with renewable contracts in Hong Kong, male (2023) | persons | 2008 | 39 | ||||||||||||
| Full-time employees with temporary contracts in Hong Kong (2022) | persons | 79 | 39 | ||||||||||||
| Full-time employees with temporary contracts in Hong Kong (2023) | persons | 131 | 39 | ||||||||||||
| Full-time employees with temporary contracts in Hong Kong, female (2022) | persons | 21 | 39 | ||||||||||||
| Full-time employees with temporary contracts in Hong Kong, female (2023) | persons | 38 | 39 | ||||||||||||
| Full-time employees with temporary contracts in Hong Kong, male (2022) | persons | 58 | 39 | ||||||||||||
| Full-time employees with temporary contracts in Hong Kong, male (2023) | persons | 93 | 39 | ||||||||||||
| Interns who will be PwD or ethnically diverse | 10% | 23 | |||||||||||||
| MTR Elizabeth line workforce diversity - total employees | employees | 1299 | 366 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by age - 16-24 | % | 4.8 | 6.6 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by age - 25-34 | % | 18.9 | 18.6 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by age - 35-44 | % | 20.9 | 24.5 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by age - 45-54 | % | 24.9 | 28 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by age - 55-64 | % | 29.4 | 18.6 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by age - 65+ | % | 1.1 | 1.6 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by ethnicity - Asian or Asian British | % | 22.7 | 11.5 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by ethnicity - Black or Black British | % | 17.5 | 15.1 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by ethnicity - Mixed | % | 5.4 | 2.7 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by ethnicity - Other | % | 0.9 | 0.7 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by ethnicity - White | % | 54.7 | 70 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by gender - Female | % | 23.6 | 19.7 | 40 | |||||||||||
| MTR Elizabeth line workforce diversity by gender - Male | % | 76.4 | 80.3 | 40 | |||||||||||
| MTR Hangzhou - number of employees from ethnically diverse groups | employees | 51 | 40 | ||||||||||||
| Metro Trains Melbourne - number of female qualified and trainee train drivers | employees | 26 | 565 | 40 | |||||||||||
| Number of employees globally | 54000 | 53 | |||||||||||||
| Ordinary Dividends (HKSAR Government) | HK$ million | 6071 | 16 | ||||||||||||
| Ordinary Dividends (Other Shareholders) | HK$ million | 2059 | 16 | ||||||||||||
| Part time employees in Hong Kong (2022) | persons | 1402 | 39 | ||||||||||||
| Part time employees in Hong Kong (2023) | persons | 1487 | 39 | ||||||||||||
| Part time employees in Hong Kong, female (2022) | persons | 405 | 39 | ||||||||||||
| Part time employees in Hong Kong, female (2023) | persons | 449 | 39 | ||||||||||||
| Part time employees in Hong Kong, male (2022) | persons | 997 | 39 | ||||||||||||
| Part time employees in Hong Kong, male (2023) | persons | 1038 | 39 | ||||||||||||
| Percentage of Board of Directors who are women | 26% | 20 | |||||||||||||
| Percentage of summer interns who were PwD or ethnically diverse | 10% | 20 | |||||||||||||
| Persons with disabilities employed in Hong Kong (2016) | % | 1.7 | 39 | ||||||||||||
| Persons with disabilities employed in Hong Kong (2017) | % | 2 | 39 | ||||||||||||
| Persons with disabilities employed in Hong Kong (2018) | % | 2.4 | 39 | ||||||||||||
| Persons with disabilities employed in Hong Kong (2019) | % | 2.7 | 39 | ||||||||||||
| Persons with disabilities employed in Hong Kong (2020) | % | 3.4 | 39 | ||||||||||||
| Persons with disabilities employed in Hong Kong (2021) | % | 3.7 | 39 | ||||||||||||
| Persons with disabilities employed in Hong Kong (2022) | % | 4.1 | 39 | ||||||||||||
| Persons with disabilities employed in Hong Kong (2023) | % | 4.5 | 39 | ||||||||||||
| Staff Costs (Employees) | HK$ million | 16586 | 16 | ||||||||||||
| Total full-time employees | employees | 30667 | 31482 | 35318 | 37 | ||||||||||
| Young talents hired in 2023 | persons | 258 | 21 | ||||||||||||
| employment and pre-employment opportunities provided for young talents | opportunities | 200+ | 24 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Voluntary turnover rate - Elizabeth line | % | 7.5 | 53 |
| Voluntary turnover rate - Hangzhou Metro Line 5 | % | 6.7 | 53 |
| Voluntary turnover rate - Hong Kong | % | 7 | 53 |
| Voluntary turnover rate - MTRX | % | 9 | 53 |
| Voluntary turnover rate - Melbourne’s Metropolitan Rail Service | % | 8.2 | 53 |
| Voluntary turnover rate - Mälartåg | % | 18.1 | 53 |
| Voluntary turnover rate - Shenzhen Metro Line 4 | % | 7.2 | 53 |
| Voluntary turnover rate - Stockholm Metro | % | 3.5 | 53 |
| Voluntary turnover rate - Stockholms Pendeltåg | % | 8.5 | 53 |
| Voluntary turnover rate - Sydney Metro North West Line | % | 16.3 | 53 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Customer and Public Fatalities in Hong Kong - Heavy Rail | 1 | 30 | |||
| Number of Customer and Public Injuries Requiring Hospitalisation in Hong Kong - Bus | 3 | 1 | 3 | 30 | |
| Number of Customer and Public Injuries Requiring Hospitalisation in Hong Kong - Heavy Rail | 25 | 87 | 181 | 30 | |
| Number of Customer and Public Injuries Requiring Hospitalisation in Hong Kong - Light Rail | 3 | 4 | 3 | 30 | |
| Number of Injuries Requiring Hospitalisation per 100 Million Passenger Journeys in Hong Kong - Bus Performance | 4.99 | 1.74 | 4.35 | 30 | |
| Number of Injuries Requiring Hospitalisation per 100 Million Passenger Journeys in Hong Kong - Bus Target | 6.85 | 6.85 | 5.83 | 30 | |
| Number of Injuries Requiring Hospitalisation per 100 Million Passenger Journeys in Hong Kong - Heavy Rail Performance | 1.76 | 6.5 | 10.84 | 30 | |
| Number of Injuries Requiring Hospitalisation per 100 Million Passenger Journeys in Hong Kong - Heavy Rail Target | 6.64 | 5.67 | 5.65 | 30 | |
| Number of Injuries Requiring Hospitalisation per 100 Million Passenger Journeys in Hong Kong - Light Rail Performance | 2.12 | 3.04 | 2 | 30 | |
| Number of Injuries Requiring Hospitalisation per 100 Million Passenger Journeys in Hong Kong - Light Rail Target | 9.89 | 8.38 | 7.31 | 30 | |
| Number of injuries requiring hospitalization per 10 million passenger journeys - Bus | 5.83 | 20 | |||
| Number of injuries requiring hospitalization per 10 million passenger journeys - Heavy Rail | 10.84 | 20 | |||
| Number of injuries requiring hospitalization per 10 million passenger journeys - Light Rail | 7.31 | 20 |
Lost days due to work injury.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Corporate Support Functions | 0.2 | 0.34 | 0.85 | 34 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Investment Property | 0.13 | 0.2 | 0.17 | 34 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Management Property | 0.17 | 0.15 | 0.1 | 34 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Operations Railway | 0.27 | 0.28 | 0.25 | 34 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Project Construction – Network Improvement Projects | 0.15 | 0.05 | 34 | ||
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Project Construction – Railway Extension Projects | 0.26 | 0.22 | 0.13 | 34 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Property Development and Investment Projects | 0.03 | 0.01 | 0.02 | 34 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Capital Works Business Unit | 0.07 | 34 | |||
| Lost Time Injuries per 100000 man-hours in Hong Kong - Corporate Support Functions | 0.08 | 0.17 | 0.11 | 34 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Hong Kong Property Business Unit | 0.2 | 0.16 | 0.04 | 34 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Hong Kong Transport Services Business Unit | 0.46 | 0.33 | 0.37 | 34 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of staff participated in health talks and programmes | 2300 | 53 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 to 2025 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| DEI training events for staff | events | 150 | 23 | ||
| Number of DEI training events for staff | 380 | 20 | |||
| Wellness related activities/events arranged for employees | activities | 30 | 21 | ||
| investment in startups | HK$ million | 300 | 24 | ||
| people to benefit from future skills and innovation programmes | people | 50000+ | 24 | ||
| wellness related activities/events organised for employees | activities/events | 10 | 24 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Average Training Days per Employee - Elizabeth line | days | 9.5 | 1.9 | 1 | 51 |
| Average Training Days per Employee - Hangzhou Metro Line 5 | days | 9.4 | 15.7 | 9.6 | 51 |
| Average Training Days per Employee - Hong Kong | days | 5.2 | 6.1 | 7.4 | 51 |
| Average Training Days per Employee - MTRX | days | 2.2 | 3.9 | 5.6 | 51 |
| Average Training Days per Employee - Melbourne's Metropolitan Rail Service | days | 7.3 | 9.4 | 11.7 | 51 |
| Average Training Days per Employee - Mälartåg | days | n/a | 2.8 | 5.1 | 51 |
| Average Training Days per Employee - Shenzhen Metro Line 4 | days | 8.8 | 8.7 | 8.6 | 51 |
| Average Training Days per Employee - Stockholm Metro | days | 2.7 | 3.1 | 3.8 | 51 |
| Average Training Days per Employee - Stockholms Pendeltåg | days | 1.2 | 2.6 | 2.9 | 51 |
| Average Training Days per Employee - Sydney Metro North West Line | days | 5.9 | 3.6 | 17.6 | 51 |
| Average learning days provided to employees per year | days | 7 | 21 | ||
| Total Staff Training in Hong Kong - Management Training | man-day | 10926 | 10753 | 14983 | 51 |
| Total Staff Training in Hong Kong - Operation Training | man-day | 75189 | 89664 | 109801 | 51 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Annual green procurement spending | million HKD | 230 | 55 |
| Investment already invested in startups (2022–2025) | HK$ million | 141 | 21 |
| Investment committed in startups (2022–2025) | HK$ million | 292 | 21 |
| Other Operating Costs (Suppliers & Business Partners) | HK$ million | 20320 | 16 |
| Percentage of Spending on Cleaning, Security & Clubhouse Services in Property Management | % | 63.79 | 55 |
| Percentage of Spending on General Goods & Services in Transport Operations | % | 18.09 | 55 |
| Percentage of Spending on Goods, Services & Spares in Transport Operations | % | 10.35 | 55 |
| Percentage of Spending on Other Goods & Services in Property Management | % | 11.65 | 55 |
| Percentage of Spending on Works & Maintenance Services in Property Management | % | 24.56 | 55 |
| Percentage of Spending on Works & Maintenance Services in Transport Operations | % | 71.57 | 55 |
| Percentage of registered SMEs in supplier database | % | 57 | 21 |
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 | 2023 | 2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Green procurement spending | HK$ million | 230 | 21 | |||
| Green procurement spending commitment for 2025 | million HKD | 250 | 55 | |||
| Green procurement spending commitment for 2030 | million HKD | 350 | 55 | |||
| Supplier review audits conducted | audits | 18 | 21 | |||
| Supplier review meetings with ESG initiatives shared | meetings | 17 | 21 | |||
| Suppliers attended ESG best practices training | suppliers | 86 | 21 | |||
| supplier review audits to be conducted | audits | 15+ | 24 | |||
| supplier review meetings to cover ESG | meetings | 15+ | 24 |
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 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Number of green products and services relevant to MTR procurement in Green Procurement List | 290 | 55 | |||
| spending on green procurement | HK$ million | 250 | 350 | 24 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average daily passenger trips benefiting from fare concessions | 1000000 | 23 | ||
| Revenue from Hong Kong Property Rental and Management Businesses | HK$ million | 5079 | 16 | |
| Revenue from Hong Kong Station Commercial Businesses | HK$ million | 5117 | 16 | |
| Revenue from Hong Kong Transport Operations | HK$ million | 20131 | 16 | |
| Revenue from Mainland China and International Subsidiaries | HK$ million | 25955 | 16 | |
| Revenue from Other Businesses | HK$ million | 1959 | 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 |
|---|---|---|---|
| Interest and Finance Costs (Lenders) | HK$ million | 1244 | 16 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022/23 | 2022–2025 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| Number of applications received for Metro Trains Melbourne community grants | applications | 170 | 49 | ||||
| Number of carton boxes of clothes collected for Second-hand Fashion Collection Programme | carton boxes | 9 | 72 | ||||
| Number of free education sessions delivered by Metro Trains Melbourne | sessions | 322 | 49 | ||||
| Number of not-for-profit organisations supported by Metro Trains Melbourne grants | organisations | 10 | 49 | ||||
| Number of participants in Metro Trains Melbourne free education sessions | participants | 14530 | 49 | ||||
| Number of secondary schools with diverse student bodies reached out for career sharing/job shadowing | 11 | 20 | |||||
| People benefited from future skills and innovation programmes (2022–2025) | persons | 22000 | 21 | ||||
| People benefiting from community programmes and volunteering projects | people | 200000 | 23 | ||||
| Percentage increase in participants in Metro Trains Melbourne free education sessions compared to previous year | percent | 31 | 49 | ||||
| Percentage of residential properties organised wellness activities | % | 50 | 21 | ||||
| Percentage of residential properties signed Heart Caring Charter | % | 100 | 21 | ||||
| Secondary schools with diverse student bodies reached for career sharing/job shadowing | schools | 10 | 23 | ||||
| Total number of members in MTR Volunteer Team (Shenzhen) | members | 5200 | 49 | ||||
| additional bike parking spaces provided around stations and properties managed by MTR | bike parking spaces | 1400+ | 25 | ||||
| number of ambitious key performance indicators (KPI) established for 2023 | 44 | 3 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022–2025 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Attendance record for Metro Shenzhen Volunteer Team service on Line 4 | instances | 17000 | 49 | ||
| Community investment and donations (HKD) | HKD | 100000000 | 23 | ||
| Cumulative service duration for Metro Shenzhen Volunteer Team service on Line 4 | hours | 35000 | 49 | ||
| Direct local community investment and donations | million HKD | 55 | 20 | ||
| Hong Kong Property Development Profit from Share of Surplus, Income and Interest in Unsold Properties | HK$ million | 2340 | 16 | ||
| Number of participations in MTR Wellness Month activities | 6500 | 53 | |||
| Number of people benefiting from community programmes and volunteering projects | 194000 | 20 | |||
| Number of volunteers involved in Metro Shenzhen Volunteer Team service on Line 4 | volunteers | 600 | 49 | ||
| Taxes (Governments) | HK$ million | 987 | 16 | ||
| Total Economic Value Distributed | HK$ million | 64083 | 16 | ||
| Total Economic Value Generated | HK$ million | 64083 | 16 | ||
| Total grant pool for Metro Trains Melbourne community grants | AUD | 100000 | 49 | ||
| managed residential properties signing Heart Caring Charter and organising wellness activities | % | Over 75 | 24 |
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 | 2023 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 295177 | 174713 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 1108092 | 878978 |
| Scope 3 GHG Emissions (Business Travel) | tCO2e | 30161 | 78337 |
| Scope 3 GHG Emissions (Capital Goods) | tCO2e | 162806 | 151047 |
| Scope 3 GHG Emissions (Downstream Leased Assets) | tCO2e | 29589 | |
| Scope 3 GHG Emissions (Employee Commuting) | tCO2e | 2216 | 1489 |
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | tCO2e | 512412 | 713114 |
| Scope 3 GHG Emissions (Purchased Goods/Services) | tCO2e | 613954 | 308501 |
| Scope 3 GHG Emissions (Upstream Leased Assets) | tCO2e | 91738 | 108317 |
| Scope 3 GHG Emissions (Waste Generated in Operations) | tCO2e | 54091 | 122088 |
| Total GHG Emissions | tCO2e | 2900236 | 2536584 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 613954 | 308501 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Glass Waste | % of managed residential properties with glass recycling collection | 86 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2025 | 2030 |
|---|---|---|---|
| Target GHG Emissions Reduction Percentage by 2030 Compared to 2019 | % | 25.2 | |
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2019 | percent | 58.6 |
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 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Grid Electricity Consumption | MWh | 1967125 | 1961166 | 2091914 |
| Percentage of Renewable Energy Consumption | % | 0.0372 | 0.0349 | |
| Purchased Electricity | MWh | 1967125 | 1961166 | 2091914 |
| Renewable Energy Consumption | kWh | 729619 | 729619 | |
| Solar Energy | kWh | 729619 | 729619 | |
| Total Energy Consumption | MWh | 1967125 | 1961166 | 2091914 |
| Total Indirect Energy Consumption | MWh | 1967125 | 1961166 | 2091914 |
| Total Purchased Energy | MWh | 1967125 | 1961166 | 2091914 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2025 |
|---|---|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % | 15 | |
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 15 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | employees | 522 | ||
| Number of Employees Aged Above 50 | employees | 715 | ||
| Number of Employees Aged Below 30 | employees | 62 | ||
| Number of Employees in APAC | employees | 32940 | ||
| Number of Employees in Americas | employees | 540 | ||
| Number of Employees in Asia | employees | 32400 | ||
| Number of Employees in Asia (Excluding China) | employees | 21060 | ||
| Number of Employees in Australia | employees | 2498 | ||
| Number of Employees in Canada | employees | 108 | ||
| Number of Employees in Central China | employees | 1080 | ||
| Number of Employees in EMEA | employees | 4860 | ||
| Number of Employees in East China | employees | 5400 | ||
| Number of Employees in Europe | employees | 4320 | ||
| Number of Employees in Hangzhou | employees | 4497 | 5072 | 4870 |
| Number of Employees in Hong Kong | employees | 16804 | 17405 | |
| Number of Employees in Hong Kong (Female) | persons | 3694 | 3892 | |
| Number of Employees in Indonesia | employees | 54 | ||
| Number of Employees in Japan | employees | 54 | ||
| Number of Employees in Korea | employees | 54 | ||
| Number of Employees in London | employees | 1132 | 1259 | 1265 |
| Number of Employees in Mainland China | employees | 11322 | ||
| Number of Employees in Melbourne | employees | 245 | 294 | 478 |
| Number of Employees in North America | employees | 270 | ||
| Number of Employees in North China | employees | 1620 | ||
| Number of Employees in Northeast China | employees | 216 | ||
| Number of Employees in Northwest China | employees | 270 | ||
| Number of Employees in Overseas | employees | 21060 | ||
| Number of Employees in Shenzhen | employees | 6005 | 6128 | 6452 |
| Number of Employees in Singapore | employees | 162 | ||
| Number of Employees in South China | employees | 1620 | ||
| Number of Employees in Southwest China | employees | 540 | ||
| Number of Employees in Stockholm | employees | 2672 | 2796 | 2828 |
| Number of Employees in Sydney | employees | 1925 | 1925 | 2020 |
| Number of Employees in United Kingdom | employees | 1265 | ||
| Number of Employees in Vietnam | employees | 54 | ||
| Number of Employees in West China | employees | 540 | ||
| Number of Female Employees | employees | 14040 | ||
| Number of Full-time Employees | employees | 30667 | 31482 | 35318 |
| Number of Full-time Employees (Female) | persons | 3046 | 3186 | |
| Number of Full-time Employees (Male) | persons | 11253 | 11412 | |
| Number of Part-time Employees | persons | 1402 | 1487 | |
| Number of Part-time Employees (Female) | persons | 405 | 449 | |
| Number of Part-time Employees (Male) | persons | 997 | 1038 | |
| Number of Total Employees | employees | 54000 | ||
| Percentage of Employees Aged 30-50 | % | 39.8 | ||
| Percentage of Employees Aged Above 50 | % | 55.4 | ||
| Percentage of Employees Aged Below 30 | % | 4.8 | ||
| Percentage of Employees in APAC | % | 61 | ||
| Percentage of Employees in Americas | % | 1 | ||
| Percentage of Employees in Asia | % | 60 | ||
| Percentage of Employees in Asia (Excluding China) | % | 39.1 | ||
| Percentage of Employees in Australia | % | 0.9 | ||
| Percentage of Employees in Canada | % | 0.2 | ||
| Percentage of Employees in Central China | % | 2 | ||
| Percentage of Employees in EMEA | % | 9 | ||
| Percentage of Employees in East China | % | 10 | ||
| Percentage of Employees in Europe | % | 8 | ||
| Percentage of Employees in Hong Kong | % | 32.2 | ||
| Percentage of Employees in Indonesia | % | 0.1 | ||
| Percentage of Employees in Japan | % | 0.1 | ||
| Percentage of Employees in Korea | % | 0.1 | ||
| Percentage of Employees in Mainland China | % | 20.9 | ||
| Percentage of Employees in North America | % | 0.5 | ||
| Percentage of Employees in North China | % | 3 | ||
| Percentage of Employees in Northeast China | % | 0.4 | ||
| Percentage of Employees in Northwest China | % | 0.5 | ||
| Percentage of Employees in Overseas | % | 39 | ||
| Percentage of Employees in Singapore | % | 0.3 | ||
| Percentage of Employees in South China | % | 3 | ||
| Percentage of Employees in Southwest China | % | 1 | ||
| Percentage of Employees in Sydney | % | 0.4 | ||
| Percentage of Employees in United Kingdom | % | 2.4 | ||
| Percentage of Employees in Vietnam | % | 0.1 | ||
| Percentage of Employees in West China | % | 1 | ||
| Percentage of Female Employees | % | 26 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Turnover Rate of Employees in Australia | % | 8.2 |
| Turnover Rate of Employees in Hong Kong | % | 7 |
| Turnover Rate of Employees in Mainland China | % | 7.2 |
| Turnover Rate of Employees in Sweden | % | 8.5 |
| Turnover Rate of Employees in United Kingdom | % | 7.5 |
Lost days due to work injury.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Lost Time Injury Frequency Rate (Contractor) | per 100000 man-hours | 0.17 | 0.01 | 0.02 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Average Training Hours (Hong Kong Employees) | hours | 41.6 | 48.8 | 59.2 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Proportion of Spending on Local Suppliers | % | 63.79 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Suppliers Participating in ESG Training | suppliers | 86 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Participations in Volunteer Activities | instances | 17000 |
| Number of Volunteers among Employees | volunteers | 600 |
| Total Social Investment | million HKD | 55 |
| Total Volunteer Service Hours | hours | 35000 |