2023 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Carbon Monoxide (CO) emissions - First Pacific Head Office | kg | 54 | 89 | |
Carbon Monoxide (CO) emissions - Indofood | kg | 969554 | 179982 | 89 |
Carbon Monoxide (CO) emissions - PLDT | kg | 214433 | 211620 | 89 |
Nitrogen Oxides (NOx) emissions - First Pacific Head Office | kg | 0.23 | 89 | |
Nitrogen Oxides (NOx) emissions - Indofood | kg | 106 | 785795 | 89 |
Nitrogen Oxides (NOx) emissions - MPIC Head Office | kg | 1434813 | 89 | |
Nitrogen Oxides (NOx) emissions - PLDT | kg | 2478 | 1430312 | 89 |
Nitrogen Oxides (NOx) emissions - RHI | kg | 770396 | 89 | |
Particulate Matter (PM) emissions - Indofood | kg | 54 | 89 | |
Particulate Matter (PM) emissions - RHI | kg | 969554 | 179982 | 89 |
Sulfur Oxides (SOx) emissions - First Pacific Head Office | kg | 0.01 | 89 | |
Sulfur Oxides (SOx) emissions - MPIC Head Office | kg | 32728 | 89 | |
Sulfur Oxides (SOx) emissions - PLDT | kg | 1530 | 1320 | 89 |
Volatile Organic Compounds (VOC) emissions - Indofood | kg | 63 | 89 | |
Volatile Organic Compounds (VOC) emissions - RHI | kg | 54588 | 55318 | 89 |
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 | 2022 | 2023 | 2024 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Absolute GHG emissions from energy sector, Indofood | tCO2e | 62100 | 6 | |||
Annual carbon emissions reduction from ATEP upgrade, PLP | tons | 18000 | 6 | |||
Carbon footprint - Consumer Food Products division | % | 94 | 41 | |||
Carbon footprint - Infrastructure division | % | 4 | 41 | |||
Carbon footprint - Telecommunication division | % | 2 | 41 | |||
Expected reduction in carbon emissions at PLP from Turbine Efficiency Package agreement | tons | 18000 | 42 | |||
GHG Emissions Scope 1 - First Pacific Head Office | tonnes CO2-e | 23 | 27 | 89 | ||
GHG Emissions Scope 1 - Indofood | tonnes CO2-e | 1349000 | 1289000 | 89 | ||
GHG Emissions Scope 1 - MPIC Head Office | tonnes CO2-e | 10262193 | 10887581 | 89 | ||
GHG Emissions Scope 1 - Meralco | tonnes CO2-e | 8107381 | 7845118 | 89 | ||
GHG Emissions Scope 1 - Natural Resources Philex | tonnes CO2-e | 152982 | 152982 | 89 | ||
GHG Emissions Scope 1 - PLDT | tonnes CO2-e | 97 | 84 | 89 | ||
GHG Emissions Scope 1 - PXP | tonnes CO2-e | 13229 | 12295 | 89 | ||
GHG Emissions Scope 1 - RHI | tonnes CO2-e | 409487 | 406000 | 89 | ||
GHG Emissions Scope 1 - Toll Road MPTC | tonnes CO2-e | 12925 | 12957 | 89 | ||
GHG Emissions Scope 1 - Transportation LRMC | tonnes CO2-e | 27300 | 28542 | 89 | ||
GHG Emissions Scope 1 - Water Maynilad | tonnes CO2-e | 137486 | 230870 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - First Pacific Head Office | tonne CO2-e/USD million revenue | 0.28 | 0.19 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - Indofood | tonne CO2-e/USD million revenue | 249 | 89 | |||
GHG emissions intensity (Scope 1 and 2) - MPIC Head Office | tonne CO2-e/USD million revenue | 2174 | 1879 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - Meralco | tonne CO2-e/USD million revenue | 1489 | 989 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - Natural Resources Philex | tonne CO2-e/USD million revenue | 11076 | 11465 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - PLDT | tonne CO2-e/USD million revenue | 0.43 | 0.29 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - PXP | tonne CO2-e/USD million revenue | 301 | 210 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - RHI | tonne CO2-e/USD million revenue | 148 | 163 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - Toll Road MPTC | tonne CO2-e/USD million revenue | 11 | 10 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - Transportation LRMC | tonne CO2-e/USD million revenue | 2322 | 2369 | 89 | ||
GHG emissions intensity (Scope 1 and 2) - Water Maynilad | tonne CO2-e/USD million revenue | 1000 | 1000 | 89 | ||
GHG emissions intensity of First Pacific and its Investee Companies (per USD$ million revenue) | tCO2e/USD$million | 2742 | 41 | |||
GHG emissions per dollar of revenue, Head Office | % year-on-year decrease | -1.9 | 6 | |||
PLDT - Reduction in Scope 1 and Scope 2 GHG emissions | % reduction | 40 | 32 | |||
Total GHG emissions (CO2e) of First Pacific and its Investee Companies | tCO2e | 52305069 | 41 | |||
Total Scope 1 & Scope 2 GHG Emissions - First Pacific Head Office | tonnes CO2-e | 64 | 61 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - Indofood | tonnes CO2-e | 1842500 | 1807000 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - MPIC Head Office | tonnes CO2-e | 10262193 | 10887581 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - Meralco | tonnes CO2-e | 8107381 | 7845118 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - Natural Resources Philex | tonnes CO2-e | 152982 | 152982 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - PLDT | tonnes CO2-e | 479 | 339 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - PXP | tonnes CO2-e | 13229 | 12295 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - RHI | tonnes CO2-e | 723562 | 717420 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - Toll Road MPTC | tonnes CO2-e | 12925 | 12957 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - Transportation LRMC | tonnes CO2-e | 27300 | 28542 | 89 | ||
Total Scope 1 & Scope 2 GHG Emissions - Water Maynilad | tonnes CO2-e | 137486 | 230870 | 89 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Decrease in total generated hazardous waste, Maynilad | % | -12 | 6 | |
Overall amount of hazardous waste generated (First Pacific Group-wide) | tons | 460811 | 46 | |
Percentage change in hazardous waste generated compared to previous year (First Pacific Group-wide) | % | -32.8 | 46 | |
Total hazardous waste disposed - Incinerated - Indofood | Tonne | 5.6 | 0.0 | 90 |
Total hazardous waste disposed - Incinerated - Meralco | Tonne | 5634.1 | 3182.2 | 90 |
Total hazardous waste disposed - Incinerated - Water | Tonne | 34 | 25 | 90 |
Total hazardous waste disposed - Other disposal methods - Indofood | Tonne | 77200 | 87800 | 90 |
Total hazardous waste disposed - Other disposal methods - Meralco | Tonne | 2614.9 | 2614.9 | 90 |
Total hazardous waste disposed - Other disposal methods - PLP | Tonne | 323 | 90 | |
Total hazardous waste disposed - Other disposal methods - RHI | Tonne | 1669 | 1650 | 90 |
Total hazardous waste disposed - Other disposal methods - Transportation | Tonne | 1.4 | 2.5 | 90 |
Total hazardous waste disposed - Other disposal methods - Water | Tonne | 81.1 | 49.1 | 90 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Overall amount of non-hazardous waste generated (First Pacific Group-wide) | tons | 6866315 | 46 | |
Percentage change in non-hazardous waste generated compared to previous year (First Pacific Group-wide) | % | -7.6 | 46 | |
Recycled waste, MPIC | % | 31 | 6 | |
Total non-hazardous waste disposed - Incinerated - Indofood | Tonne | 231000 | 238000 | 90 |
Total non-hazardous waste disposed - Incinerated - Meralco | Tonne | 224148 | 186077 | 90 |
Total non-hazardous waste disposed - Incinerated - Natural Resources | Tonne | 1049 | 1085 | 90 |
Total non-hazardous waste disposed - Incinerated - Water | Tonne | 360 | 187 | 90 |
Total non-hazardous waste disposed - Other disposal methods - Indofood | Tonne | 3999 | 1557 | 90 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
Absolute GHG emissions reduction from energy sector relative to 2018 base year, Indofood | % | -8.4 | 6 | ||
Indofood - Absolute GHG emission reduction from energy sector (compared to 2018 base year) | % reduction | 8 | 32 | ||
LRMC - GHG emissions reduction target (baseline 2015) | % | 30 | 33 | ||
MPIC - GHG emission intensity reduction target (baseline 2019) | % | 30 | 33 | ||
Scope 2 GHG emissions offset via renewable energy purchase, Head Office | kWh | 95000 | 6 |
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 | 2027 | 2029 | Report Pages |
---|---|---|---|---|---|
Biomass waste reused as waste to renewable energy since 2018 base year, Indofood | million tons | 5.87 | 6 | ||
Indofood - Packaging waste reduction (compared to 2020 base year) | % reduction | 30 | 32 | ||
Meralco - Overall waste diversion rate target | % | 90 | 33 |
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 | 2022 | 2023 | 2025 | 2027 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|
Electricity consumption, Head Office | kWh | 87105 | 6 | ||||
Electricity generated from renewable energy, PLDT | MWh | 19954 | 6 | ||||
Electricity generated from renewable energy, PLDT (direct) | MWh | 1628 | 6 | ||||
Electricity generated from renewable energy, ePLDT | MWh | 18326 | 6 | ||||
Energy consumption footprint - Consumer Food Products division | % | 87 | 41 | ||||
Energy consumption footprint - Infrastructure division | % | 10 | 41 | ||||
Energy consumption footprint - Natural Resources division | % | 1 | 41 | ||||
Energy consumption footprint - Telecommunication division | % | 2 | 41 | ||||
Energy intensity of First Pacific and its Investee Companies (per USD$ million revenue) | GJ/USD$million | 40620 | 41 | ||||
Meralco - Renewable energy supply from new solar farms | MW | 1500 | 1500 | 33 | |||
Meralco - Total renewable energy supply through PSAs | MW | 1880 | 33 | ||||
Non-renewable fuels consumed - First Pacific Head Office | GJ | 27 | 28 | 89 | |||
Non-renewable fuels consumed - Indofood | GJ | 15000000 | 14000000 | 89 | |||
Non-renewable fuels consumed - Meralco | GJ | 186141305 | 178017857 | 89 | |||
Non-renewable fuels consumed - Natural Resources Philex | GJ | 17628 | 14089 | 89 | |||
Non-renewable fuels consumed - PLDT | GJ | 685862 | 3221 | 89 | |||
Non-renewable fuels consumed - PXP | GJ | 34988375 | 36589 | 89 | |||
Non-renewable fuels consumed - RHI | GJ | 8681 | 6874 | 89 | |||
Non-renewable fuels consumed - Toll Road MPTC | GJ | 5850 | 5840 | 89 | |||
Non-renewable fuels consumed - Transportation LRMC | GJ | 3476 | 3199 | 89 | |||
Non-renewable fuels consumed - Water Maynilad | GJ | 5840 | 5840 | 89 | |||
Renewable electricity generated (excl. biomass) - First Pacific Head Office | GJ | 312 | 342 | 89 | |||
Renewable electricity generated (excl. biomass) - Indofood | GJ | 1500000 | 1400000 | 89 | |||
Renewable electricity generated (excl. biomass) - MPIC Head Office | GJ | 320 | 320 | 89 | |||
Renewable electricity generated (excl. biomass) - Meralco | GJ | 201 | 201 | 89 | |||
Renewable electricity generated (excl. biomass) - PLDT | GJ | 3333327 | 4891 | 89 | |||
Renewable electricity generated (excl. biomass) - PXP | GJ | 21 | 2480 | 89 | |||
Renewable electricity generated (excl. biomass) - RHI | GJ | 25701 | 3373335 | 89 | |||
Renewable electricity purchased by Head Office from Hong Kong Electric | kWh | 95000 | 42 | ||||
Renewable energy from geothermal source to power facilities, PLDT | % | 100 | 6 | ||||
Renewable fuels consumed - Indofood | GJ | 2000000 | 2000000 | 89 | |||
Renewable fuels consumed - RHI | GJ | 8681 | 6874 | 89 | |||
Solar power generation agreement (MGREEN and SPNEC), Meralco | MW | 3500 | 6 | ||||
Total energy consumed within the organization - First Pacific Head Office | GJ | 389 | 314 | 89 | |||
Total energy consumed within the organization - Indofood | GJ | 17200000 | 16200000 | 89 | |||
Total energy consumed within the organization - MPIC Head Office | GJ | 81176 | 83284 | 89 | |||
Total energy consumed within the organization - Meralco | GJ | 132308074 | 176952612 | 89 | |||
Total energy consumed within the organization - Natural Resources Philex | GJ | 1078265 | 980542 | 89 | |||
Total energy consumed within the organization - PLDT | GJ | 4361368 | 3681 | 89 | |||
Total energy consumed within the organization - PXP | GJ | 17457950 | 36589 | 89 | |||
Total energy consumed within the organization - RHI | GJ | 9049948 | 4059831 | 89 | |||
Total energy consumed within the organization - Toll Road MPTC | GJ | 718367 | 710322 | 89 | |||
Total energy consumed within the organization - Transportation LRMC | GJ | 138253 | 153689 | 89 | |||
Total energy consumed within the organization - Water Maynilad | GJ | 138323 | 157659 | 89 | |||
Total energy consumption from renewable sources, Indofood | % | 66.1 | 6 | ||||
Total energy consumption of First Pacific and its Investee Companies | GJ | 159076644 | 41 | ||||
Total energy intensity in the organization - First Pacific Head Office | GJ/million USD revenue | 2 | 1 | 89 | |||
Total energy intensity in the organization - Indofood | GJ/million USD revenue | 2315 | 2217 | 89 | |||
Total energy intensity in the organization - Meralco | GJ/million USD revenue | 10436 | 16612 | 89 | |||
Total energy intensity in the organization - Natural Resources Philex | GJ/million USD revenue | 5342 | 7048 | 89 | |||
Total energy intensity in the organization - PLDT | GJ/million USD revenue | 831 | 957 | 89 | |||
Total energy intensity in the organization - PXP | GJ/million USD revenue | 14329 | 8034 | 89 | |||
Total energy intensity in the organization - RHI | GJ/million USD revenue | 9 | 8 | 89 | |||
Total energy intensity in the organization - Toll Road MPTC | GJ/million USD revenue | 213 | 196 | 89 | |||
Total energy intensity in the organization - Transportation LRMC | GJ/million USD revenue | 4202 | 4480 | 89 | |||
Total energy intensity in the organization - Water Maynilad | GJ/million USD revenue | 1300 | 1505 | 89 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Potable water produced by Anabu Modular Treatment Plant, Maynilad | million liters per day | 16 | 6 | |
Rainwater collected for washing, cleaning, and watering, PLDT | liters | 194000 | 6 | |
Total water withdrawal - Indofood | m3 | 15400000 | 12000000 | 89 |
Total water withdrawal - MPIC Head Office | m3 | 229 | 201638942 | 89 |
Total water withdrawal - Meralco | m3 | 4826194851 | 4831388080 | 89 |
Total water withdrawal - Natural Resources Philex | m3 | 5401026 | 89 | |
Total water withdrawal - PLDT | m3 | 455969 | 295 | 89 |
Total water withdrawal - PXP | m3 | 495813519 | 150214 | 89 |
Total water withdrawal - RHI | m3 | 6204338 | 308261 | 89 |
Total water withdrawal - Toll Road MPTC | m3 | 1005000 | 1025000 | 89 |
Total water withdrawal - Transportation LRMC | m3 | 45618 | 3172244 | 89 |
Total water withdrawal - Water Maynilad | m3 | 1237950401 | 45611 | 89 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | 2030 | Report Pages |
---|---|---|---|---|
Meralco - Renewable energy supply target through PSAs | MW | 1500 | 33 | |
Output improvement from Advanced Turbine Efficiency Upgrade (ATEP), PLP | MW | 15 | 6 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Biodiversity conservation partnerships, MPIC | 5 | 6 | |
Compliance with Sustainable Agriculture Policy (no deforestation, no HCV loss), Indofood | % | 100 | 6 |
Terrestrial or marine protected areas for rehabilitation or protection, MPIC | hectares | 97370 | 6 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Employee wages and benefits - First Pacific | US$ million | 16.6 | 14.5 | 88 |
Employee wages and benefits - Indofood | US$ million | 631.6 | 682.5 | 88 |
Employee wages and benefits - LRMC | US$ million | 45.4 | 12.8 | 88 |
Employee wages and benefits - MPIC Head Office | US$ million | 67.4 | 145.8 | 88 |
Employee wages and benefits - MPTC | US$ million | 28.7 | 36.9 | 88 |
Employee wages and benefits - Maynilad | US$ million | 35.4 | 41.6 | 88 |
Employee wages and benefits - Meralco | US$ million | 290.7 | 297.1 | 88 |
Employee wages and benefits - PLDT | US$ million | 547.3 | 448.6 | 88 |
Employee wages and benefits - Philex | US$ million | 22.2 | 22.8 | 88 |
Employees covered by Collective Bargaining Agreement - EMIC | Number | 6676 | 94 | |
Employees covered by Collective Bargaining Agreement - Indofood | Number | 58538 | 94 | |
Employees covered by Collective Bargaining Agreement - Maynilad | Number | 1332 | 94 | |
Employees covered by Collective Bargaining Agreement - Meralco | Number | 5123 | 94 | |
Employees covered by Collective Bargaining Agreement - PLP | Number | 9077 | 94 | |
Employees covered by Collective Bargaining Agreement - Toll Road | Number | 1677 | 94 | |
New employee hires (number) - By age - 30-50 years old - First Pacific - Head Office | Number | 2 | 93 | |
New employee hires (number) - By age - Under 30 years old - First Pacific - Head Office | Number | 1 | 93 | |
New employee hires (number) - By gender - Female - First Pacific - Head Office | Number | 2 | 93 | |
New employee hires (number) - By gender - Male - First Pacific - Head Office | Number | 1 | 93 | |
New employee hires (number) - By region - Hong Kong - First Pacific - Head Office | Number | 3 | 93 | |
Number of hours worked - Indofood | hours | 71001873 | 69892050 | 95 |
Number of hours worked - Maynilad | hours | 8150000 | 8150000 | 95 |
Number of hours worked - Meralco | hours | 18647018 | 19580000 | 95 |
Number of hours worked - Philex | hours | 8414150 | 95 | |
Number of hours worked - Toll Road (MPTC) | hours | 5546589 | 5546589 | 95 |
Total Employees - By Employment Contract, Permanent, First Pacific Head Office | Number | 34 | 37 | 92 |
Total Employees - By Employment Contract, Permanent, Indofood | Number | 81307 | 81994 | 92 |
Total Employees - By Employment Contract, Permanent, LRMC | Number | 1058 | 1074 | 92 |
Total Employees - By Employment Contract, Permanent, MPIC Head Office | Number | 45 | 46 | 92 |
Total Employees - By Employment Contract, Permanent, MPTC | Number | 1578 | 1509 | 92 |
Total Employees - By Employment Contract, Permanent, Maynilad | Number | 1545 | 1576 | 92 |
Total Employees - By Employment Contract, Permanent, Meralco | Number | 12785 | 13364 | 92 |
Total Employees - By Employment Contract, Permanent, PLDT | Number | 15586 | 16100 | 92 |
Total Employees - By Employment Contract, Permanent, PXP | Number | 158 | 129 | 92 |
Total Employees - By Employment Contract, Permanent, Philex | Number | 2199 | 1540 | 92 |
Total Employees - By Employment Contract, Permanent, RHI | Number | 650 | 655 | 92 |
Total Employees - By Employment Contract, Temporary, Indofood | Number | 17294 | 22519 | 92 |
Total Employees - By Employment Contract, Temporary, LRMC | Number | 20 | 384 | 92 |
Total Employees - By Employment Contract, Temporary, MPTC | Number | 633 | 630 | 92 |
Total Employees - By Employment Contract, Temporary, Maynilad | Number | 259 | 680 | 92 |
Total Employees - By Employment Contract, Temporary, Meralco | Number | 6449 | 7646 | 92 |
Total Employees - By Employment Contract, Temporary, PXP | Number | 6 | 9 | 92 |
Total Employees - By Employment Contract, Temporary, Philex | Number | 286 | 28 | 92 |
Total Employees - By Employment Contract, Temporary, RHI | Number | 15 | 17 | 92 |
Total Employees - By Gender, Female, First Pacific Head Office | Number | 17 | 18 | 92 |
Total Employees - By Gender, Female, Indofood | Number | 17298 | 14447 | 92 |
Total Employees - By Gender, Female, LRMC | Number | 346 | 364 | 92 |
Total Employees - By Gender, Female, MPIC Head Office | Number | 30 | 32 | 92 |
Total Employees - By Gender, Female, MPTC | Number | 929 | 969 | 92 |
Total Employees - By Gender, Female, Maynilad | Number | 1055 | 1080 | 92 |
Total Employees - By Gender, Female, Meralco | Number | 4370 | 4471 | 92 |
Total Employees - By Gender, Female, PLDT | Number | 7544 | 8020 | 92 |
Total Employees - By Gender, Female, PXP | Number | 99 | 89 | 92 |
Total Employees - By Gender, Female, Philex | Number | 311 | 330 | 92 |
Total Employees - By Gender, Female, RHI | Number | 100 | 159 | 92 |
Total Employees - By Gender, Male, First Pacific Head Office | Number | 17 | 19 | 92 |
Total Employees - By Gender, Male, Indofood | Number | 81581 | 36257 | 92 |
Total Employees - By Gender, Male, LRMC | Number | 700 | 730 | 92 |
Total Employees - By Gender, Male, MPIC Head Office | Number | 15 | 14 | 92 |
Total Employees - By Gender, Male, MPTC | Number | 1170 | 1170 | 92 |
Total Employees - By Gender, Male, Maynilad | Number | 1188 | 1176 | 92 |
Total Employees - By Gender, Male, Meralco | Number | 16344 | 16099 | 92 |
Total Employees - By Gender, Male, PLDT | Number | 8042 | 8080 | 92 |
Total Employees - By Gender, Male, PXP | Number | 60 | 59 | 92 |
Total Employees - By Gender, Male, Philex | Number | 2176 | 2124 | 92 |
Total Employees - By Gender, Male, RHI | Number | 8501 | 8511 | 92 |
Total Employees - By Region, Hong Kong, First Pacific Head Office | Number | 30 | 33 | 92 |
Total Employees - By Region, The Philippines, First Pacific Head Office | Number | 4 | 4 | 92 |
Total Employees - First Pacific Head Office | Number | 34 | 37 | 92 |
Total Employees - Indofood | Number | 101891 | 104109 | 92 |
Total Employees - LRMC | Number | 1078 | 1094 | 92 |
Total Employees - MPIC Head Office | Number | 45 | 46 | 92 |
Total Employees - MPTC | Number | 2099 | 2139 | 92 |
Total Employees - Maynilad | Number | 2243 | 2256 | 92 |
Total Employees - Meralco | Number | 19124 | 21000 | 92 |
Total Employees - PLDT | Number | 15586 | 16100 | 92 |
Total Employees - PXP | Number | 128 | 148 | 92 |
Total Employees - Philex | Number | 2487 | 2298 | 92 |
Total Employees - RHI | Number | 8601 | 8670 | 92 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Employee turnover (number) - By gender - Female - First Pacific - Head Office | Number | 2 | 93 |
Employee turnover (number) - By gender - Male - First Pacific - Head Office | Number | 1 | 93 |
Employee turnover (number) - By region - Hong Kong - First Pacific - Head Office | Number | 3 | 93 |
Employee turnover (total) - 30-50 years old - EMIC | Percentage | 12% | 94 |
Employee turnover (total) - 30-50 years old - Indofood | Percentage | 8% | 94 |
Employee turnover (total) - 30-50 years old - MPIC Head Office | Percentage | 18% | 94 |
Employee turnover (total) - 30-50 years old - Maynilad | Percentage | 20% | 94 |
Employee turnover (total) - 30-50 years old - Meralco | Percentage | 19% | 94 |
Employee turnover (total) - 30-50 years old - PLP | Percentage | 2% | 94 |
Employee turnover (total) - Over 50 years old - EMIC | Percentage | 17% | 94 |
Employee turnover (total) - Over 50 years old - Indofood | Percentage | 1% | 94 |
Employee turnover (total) - Over 50 years old - MPIC Head Office | Percentage | 5% | 94 |
Employee turnover (total) - Over 50 years old - Maynilad | Percentage | 29% | 94 |
Employee turnover (total) - Over 50 years old - Meralco | Percentage | 17% | 94 |
Employee turnover (total) - Over 50 years old - PLP | Percentage | 3% | 94 |
Employee turnover (total) - Under 30 years old - EMIC | Percentage | 25% | 94 |
Employee turnover (total) - Under 30 years old - Indofood | Percentage | 17% | 94 |
Employee turnover (total) - Under 30 years old - MPIC Head Office | Percentage | 21% | 94 |
Employee turnover (total) - Under 30 years old - Maynilad | Percentage | 21% | 94 |
Employee turnover (total) - Under 30 years old - Meralco | Percentage | 28% | 94 |
Employee turnover (total) - Under 30 years old - PLP | Percentage | 10% | 94 |
New employee hires (rate) - By gender - Female - First Pacific - Head Office | Percentage | 11% | 93 |
New employee hires (rate) - By gender - Male - First Pacific - Head Office | Percentage | 6% | 93 |
New employee hires (rate) - By region - Hong Kong - First Pacific - Head Office | Percentage | 9% | 93 |
New employee hires (rate) - By region - Indonesia - First Pacific - Head Office | Percentage | 0% | 93 |
New employee hires (rate) - By region - Singapore - First Pacific - Head Office | Percentage | 0% | 93 |
New employee hires (rate) - By region - The Philippines - First Pacific - Head Office | Percentage | 0% | 93 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Fatality rate - Indofood | Cases per 200000 hours | 0.01 | 0.06 | 95 |
Fatality rate - Meralco | Cases per 200000 hours | 0.01 | 0.01 | 95 |
Fatality rate - Philex | Cases per 200000 hours | 0.02 | 95 | |
Highly consequence injury rate - Indofood | Cases per 200000 hours | 0.18 | 0.16 | 95 |
Recordable injury rate - Indofood | Cases per 200000 hours | 0.47 | 0.45 | 95 |
Recordable injury rate - Maynilad | Cases per 200000 hours | 0.16 | 95 | |
Recordable injury rate - Meralco | Cases per 200000 hours | 0.54 | 0.54 | 95 |
Recordable injury rate - Philex | Cases per 200000 hours | 0.49 | 95 | |
Recordable injury rate - Toll Road (MPTC) | Cases per 200000 hours | 2.08 | 2.08 | 95 |
Total number of recordable injuries - Indofood | 167 | 156 | 95 | |
Total number of recordable injuries - Meralco | 10 | 16 | 95 | |
Total number of recordable injuries - Philex | 2 | 95 | ||
Total number of work-related fatalities - Indofood | 4 | 2 | 95 | |
Total number of work-related fatalities - Meralco | 1 | 1 | 95 | |
Total number of work-related fatalities - Philex | 1 | 95 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Number of lost days - Indofood | 8309 | 7849 | 95 | |
Number of lost days - Meralco | 1309 | 1309 | 95 | |
Number of lost days - Philex | 1629 | 95 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Change of Occupational Health and Safety Management System implementation - Indofood | Percentage of workers | 100% | 100% | 95 |
Change of Occupational Health and Safety Management System implementation - Maynilad | Percentage of workers | 100% | 95 | |
Change of Occupational Health and Safety Management System implementation - Meralco | Percentage of workers | 100% | 100% | 95 |
Change of Occupational Health and Safety Management System implementation - Philex | Percentage of workers | 100% | 95 | |
Change of Occupational Health and Safety Management System implementation - Toll Road (MPTC) | Percentage of workers | 100% | 95 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Percentage of employees trained per year - Female - EMIC | Percentage | 8% | 94 |
Percentage of employees trained per year - Female - Indofood | Percentage | 25% | 94 |
Percentage of employees trained per year - Female - Maynilad | Percentage | 43% | 94 |
Percentage of employees trained per year - Female - Meralco | Percentage | 27% | 94 |
Percentage of employees trained per year - Male - EMIC | Percentage | 92% | 94 |
Percentage of employees trained per year - Male - Indofood | Percentage | 75% | 94 |
Percentage of employees trained per year - Male - Maynilad | Percentage | 57% | 94 |
Percentage of employees trained per year - Male - Meralco | Percentage | 73% | 94 |
Total number of employees trained per year - Female - EMIC | Number | 1084 | 94 |
Total number of employees trained per year - Female - Indofood | Number | 5440 | 94 |
Total number of employees trained per year - Female - Maynilad | Number | 1170 | 94 |
Total number of employees trained per year - Female - Meralco | Number | 3333 | 94 |
Total number of employees trained per year - Junior Rank & File - EMIC | Number | 1638 | 94 |
Total number of employees trained per year - Junior Rank & File - Indofood | Number | 6989 | 94 |
Total number of employees trained per year - Junior Rank & File - Maynilad | Number | 1170 | 94 |
Total number of employees trained per year - Junior Rank & File - Meralco | Number | 8791 | 94 |
Total number of employees trained per year - Male - EMIC | Number | 1184 | 94 |
Total number of employees trained per year - Male - Indofood | Number | 16209 | 94 |
Total number of employees trained per year - Male - Maynilad | Number | 1170 | 94 |
Total number of employees trained per year - Male - Meralco | Number | 8933 | 94 |
Total number of employees trained per year - Middle Management - EMIC | Number | 1138 | 94 |
Total number of employees trained per year - Middle Management - Indofood | Number | 1484 | 94 |
Total number of employees trained per year - Middle Management - Maynilad | Number | 334 | 94 |
Total number of employees trained per year - Middle Management - Meralco | Number | 1081 | 94 |
Total number of employees trained per year - Senior Management - EMIC | Number | 8 | 94 |
Total number of employees trained per year - Senior Management - Indofood | Number | 1 | 94 |
Total number of employees trained per year - Senior Management - Maynilad | Number | 12 | 94 |
Total number of employees trained per year - Senior Management - Meralco | Number | 61 | 94 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Average training hours completed per employee per year - Female - EMIC | Hours | 15 | 94 |
Average training hours completed per employee per year - Female - Indofood | Hours | 11 | 94 |
Average training hours completed per employee per year - Female - Maynilad | Hours | 7 | 94 |
Average training hours completed per employee per year - Female - Meralco | Hours | 21 | 94 |
Average training hours completed per employee per year - Male - EMIC | Hours | 13 | 94 |
Average training hours completed per employee per year - Male - Indofood | Hours | 10 | 94 |
Average training hours completed per employee per year - Male - Maynilad | Hours | 6 | 94 |
Average training hours completed per employee per year - Male - Meralco | Hours | 16 | 94 |
Total training hours completed per year - Female - EMIC | Hours | 5532 | 94 |
Total training hours completed per year - Female - Indofood | Hours | 58988 | 94 |
Total training hours completed per year - Female - Maynilad | Hours | 1800 | 94 |
Total training hours completed per year - Female - Meralco | Hours | 140187 | 94 |
Total training hours completed per year - Male - EMIC | Hours | 26599 | 94 |
Total training hours completed per year - Male - Indofood | Hours | 258548 | 94 |
Total training hours completed per year - Male - Maynilad | Hours | 7482 | 94 |
Total training hours completed per year - Male - Meralco | Hours | 353272 | 94 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Percentage of procurement budget spent on local suppliers - First Pacific | Percentage | 63% | 68% | 95 |
Percentage of procurement budget spent on local suppliers - Indofood | Percentage | 0% | 54% | 95 |
Percentage of procurement budget spent on local suppliers - Maynilad | Percentage | 90% | 91% | 95 |
Percentage of procurement budget spent on local suppliers - Meralco | Percentage | 84% | 68% | 95 |
Percentage of procurement budget spent on local suppliers - Philex | Percentage | 20% | 95 | |
Total number of local suppliers - First Pacific | 107 | 95 | ||
Total number of local suppliers - Indofood | 6200 | 6112 | 95 | |
Total number of local suppliers - Maynilad | 299 | 297 | 95 | |
Total number of local suppliers - Meralco | 4524 | 4347 | 95 | |
Total number of local suppliers - Philex | 56 | 95 | ||
Total number of overseas suppliers - First Pacific | 25 | 95 | ||
Total number of overseas suppliers - Indofood | 82 | 104 | 95 | |
Total number of overseas suppliers - Maynilad | 43 | 29 | 95 | |
Total number of overseas suppliers - Meralco | 751 | 654 | 95 | |
Total number of overseas suppliers - Philex | 130 | 95 |
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 | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Percentage of new suppliers screened using social criteria - Maynilad | Percentage | 79% | 100% | 95 |
Percentage of new suppliers screened using social criteria - Meralco | Percentage | 100% | 100% | 95 |
Percentage of new suppliers screened using social criteria - Philex | Percentage | 100% | 95 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Percentage of new suppliers screened using environmental criteria - First Pacific | Percentage | 0% | 95 | |
Percentage of new suppliers screened using environmental criteria - Indofood | Percentage | 91% | 33% | 95 |
Percentage of new suppliers screened using environmental criteria - Maynilad | Percentage | 100% | 100% | 95 |
Percentage of new suppliers screened using environmental criteria - Meralco | Percentage | 100% | 100% | 95 |
Percentage of new suppliers screened using environmental criteria - Philex | Percentage | 100% | 95 | |
Percentage of new suppliers screened using social criteria - First Pacific | Percentage | 0% | 95 | |
Percentage of new suppliers screened using social criteria - Indofood | Percentage | 0% | 33% | 95 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Customers supplied by Anabu Modular Treatment Plant, Maynilad | customers | 114000 | 6 | |
Dividends payment to all shareholders - First Pacific | US$ million | 111.2 | 119 | 88 |
Dividends payment to all shareholders - Indofood | US$ million | 281.6 | 148.2 | 88 |
Dividends payment to all shareholders - LRMC | US$ million | 56.1 | 64.8 | 88 |
Dividends payment to all shareholders - MPIC Head Office | US$ million | 110.9 | 123.6 | 88 |
Dividends payment to all shareholders - MPTC | US$ million | 96.4 | 302.9 | 88 |
Dividends payment to all shareholders - Maynilad | US$ million | 56.9 | 42.7 | 88 |
Dividends payment to all shareholders - Meralco | US$ million | 310.1 | 390.4 | 88 |
Dividends payment to all shareholders - PLDT | US$ million | 463.3 | 419.9 | 88 |
Dividends payment to all shareholders - Philex | US$ million | 4.5 | 88 | |
Operating costs - First Pacific | US$ million | 118.6 | 117.4 | 88 |
Operating costs - Indofood | US$ million | 5464.3 | 5035.4 | 88 |
Operating costs - LRMC | US$ million | 61.7 | 57.0 | 88 |
Operating costs - MPIC Head Office | US$ million | 7390.4 | 7340.1 | 88 |
Operating costs - MPTC | US$ million | 260.5 | 275.0 | 88 |
Operating costs - Maynilad | US$ million | 215.0 | 238.3 | 88 |
Operating costs - Meralco | US$ million | 1108.3 | 1140.7 | 88 |
Operating costs - PLDT | US$ million | 3305.8 | 3181.2 | 88 |
Operating costs - Philex | US$ million | 137.0 | 120.1 | 88 |
Revenue - LRMC | US$ million | 491.8 | 329.5 | 88 |
Revenue - MPIC Head Office | US$ million | 9532.7 | 9059.1 | 88 |
Revenue - MPTC | US$ million | 1202.7 | 2029.0 | 88 |
Revenue - Maynilad | US$ million | 491.6 | 490.0 | 88 |
Revenue - Meralco | US$ million | 7830.5 | 7984.4 | 88 |
Revenue - PLDT | US$ million | 4896.5 | 4454.8 | 88 |
Revenue - Philex | US$ million | 453.1 | 170.3 | 88 |
Revenue - RHI | - | - | 88 |
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 | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Interest payment on all forms of debt and borrowings - First Pacific | US$ million | 8.9 | 8.4 | 88 |
Interest payment on all forms of debt and borrowings - Indofood | US$ million | 207 | 231 | 88 |
Interest payment on all forms of debt and borrowings - LRMC | US$ million | 31.8 | 8.7 | 88 |
Interest payment on all forms of debt and borrowings - MPIC Head Office | US$ million | 161.1 | 168.1 | 88 |
Interest payment on all forms of debt and borrowings - MPTC | US$ million | 42.7 | 45.2 | 88 |
Interest payment on all forms of debt and borrowings - Maynilad | US$ million | 15.5 | 12.7 | 88 |
Interest payment on all forms of debt and borrowings - Meralco | US$ million | 57.2 | 57.5 | 88 |
Interest payment on all forms of debt and borrowings - PLDT | US$ million | 165.5 | 174.9 | 88 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Donation - First Pacific | US$ million | 0.2 | 0.5 | 88 |
Donation - MPTC | US$ million | 0.02 | 88 | |
Donation - Maynilad | US$ million | 0.6 | 4.5 | 88 |
Donation - Meralco | US$ million | 14.4 | 88 | |
Donation - Philex | US$ million | 0.02 | 0.02 | 88 |
Tax payment to government - First Pacific | US$ million | 0.1 | 0.2 | 88 |
Tax payment to government - Indofood | US$ million | 283.1 | 248.2 | 88 |
Tax payment to government - MPIC Head Office | US$ million | 79.2 | 60.9 | 88 |
Tax payment to government - MPTC | US$ million | 30.4 | 45.2 | 88 |
Tax payment to government - Maynilad | US$ million | 45.2 | 82.0 | 88 |
Tax payment to government - Meralco | US$ million | 271.8 | 286.8 | 88 |
Tax payment to government - PLDT | US$ million | 151.4 | 130.3 | 88 |
Tax payment to government - Philex | US$ million | 28 | 28 | 88 |
Total monetary amount of donations in the interest received and spent on local community programmes - First Pacific | US Dollar | 230000 | 95 | |
Total monetary amount of donations in the interest received and spent on local community programmes - Indofood | US Dollar | 74015 | 95 | |
Total monetary amount of donations in the interest received and spent on local community programmes - Maynilad | US Dollar | 4847041 | 1061519 | 95 |
Total monetary amount of donations in the interest received and spent on local community programmes - Meralco | US Dollar | 375000000 | 158522258 | 95 |
Total monetary amount of donations in the interest received and spent on local community programmes - Philex | US Dollar | 120 | 95 | |
Total number of volunteer hours recorded and spent on local community programmes - First Pacific | hours | 101 | 95 | |
Total number of volunteer hours recorded and spent on local community programmes - Indofood | hours | 2138 | 796 | 95 |
Total number of volunteer hours recorded and spent on local community programmes - Maynilad | hours | 3867 | 1206 | 95 |
Total number of volunteer hours recorded and spent on local community programmes - Meralco | hours | 725.64 | 257 | 95 |
Total number of volunteer hours recorded and spent on local community programmes - Philex | hours | 24 | 95 | |
Total number of volunteers that participated in local community programmes - First Pacific | 19 | 95 | ||
Total number of volunteers that participated in local community programmes - Indofood | 141 | 352 | 95 | |
Total number of volunteers that participated in local community programmes - Maynilad | 378 | 294 | 95 | |
Total number of volunteers that participated in local community programmes - Meralco | 1479 | 44 | 95 | |
Total number of volunteers that participated in local community programmes - Philex | 3 | 95 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 969608 | 179982 |
NOâ‚“ Emissions | kg | 2210793.23 | 2216107 |
SOâ‚“ Emissions | kg | 34258.01 | 1320 |
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 | 2022 | 2023 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2-e | 137486 | 1289000 |
Total GHG Emissions | tonnes CO2-e | 137486 | 52305069 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/USD$million | 1000 | 210 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Hazardous Waste Disposed | Tonne | 82823.4 | 92116.5 |
Hazardous Waste Incineration | Tonne | 5673.7 | 3207.2 |
Total Hazardous Waste | tons | 460811 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Non-Hazardous Waste Incineration | Tonne | 456557 | 425349 |
Recycling Rate of Non-Hazardous Waste | % | 31 | |
Total Non-Hazardous Waste Incineration | Tonne | 456557 | 425349 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 | 2025 | 2030 |
---|---|---|---|---|
GHG Emissions Reduction Percentage Compared to Last Year | % | -8.4 | 8 | |
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2019 | % | 30 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2027 | 2029 |
---|---|---|---|
Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 90 | |
Plastic Waste Reduction Percentage Compared to Last Year | % | 30 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2025 | 2027 | 2030 |
---|---|---|---|---|---|---|
Energy Consumption Intensity (By Revenue) | GJ/USD$million | 10436 | 196 | |||
Percentage of Renewable Energy Consumption | % | 66.1 | ||||
Renewable Energy Consumption | GJ | 3333327 | 6874 | |||
Solar Energy | MW | 1500 | 1500 | 1880 | ||
Total Energy Consumption | GJ | 389 | 159076644 | |||
Total Non-Renewable Fuel Consumption | GJ | 27 | 6874 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Total Water Withdrawal | m3 | 6580898131 | 5053704747 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % per year |
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 |
---|---|
Water Consumption Reduction Percentage Compared to Last Year | % per year |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Number of Employees in Hong Kong | Number | 30 | 33 |
Number of Employees in Indonesia | Number | 101891 | 104109 |
Number of Female Employees | Number | 42013 | 36648 |
Number of Full-time Employees | Number | 136345 | 136563 |
Number of Male Employees | Number | 134629 | 155788 |
Number of New Employees | Number | 3 | |
Number of New Employees (Aged 30-50) | Number | 2 | |
Number of New Employees (Aged Below 30) | Number | 1 | |
Number of New Employees (Female) | Number | 2 | |
Number of New Employees (Hong Kong) | Number | 3 | |
Number of New Employees (Male) | Number | 1 | |
Number of Temporary Workers | Number | 19147 | 22036 |
Number of Total Employees | Number | 155492 | 158599 |
Percentage of Female Employees | Percent | 27.03 | 23.11 |
Percentage of Male Employees | Percent | 86.6 | 98.23 |
Percentage of New Employees | Percent | 8.82 | |
Percentage of Temporary Workers | Percent | 12.32 | 13.89 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 12 |
Turnover Rate of Employees Aged Above 50 | % | 17 |
Turnover Rate of Employees Aged Below 30 | % | 25 |
Turnover Rate of Employees in Hong Kong | Number | 3 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | 4 | 1 | |
Number of Work-related Fatalities | 1 | 1 | |
Work-related Fatalities Rate (By Working Hours) | Cases per 200000 hours | 0.01 | 0.02 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Lost Days Due to Work-related Injuries | days | 9618 | 10787 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Participation Rate of Safety Training | Percentage of workers | 100 | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 |
---|---|---|
Percentage of Trained Female Employees | Percentage | 25.6 |
Percentage of Trained General Employees | Percentage | 92.6 |
Percentage of Trained Male Employees | Percentage | 74.4 |
Percentage of Trained Middle Management | Percentage | 7.1 |
Percentage of Trained Senior Management | Percentage | 0.3 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 |
---|---|---|
Average Training Hours (Female) | Hours | 13.5 |
Average Training Hours (Male) | Hours | 11.25 |
Total Training Hours | Hours | 853388 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Number of Local Suppliers | 6200 | 107 | |
Number of Overseas Suppliers | 82 | 29 | |
Proportion of Spending on Local Suppliers | Percentage | 84 | 20 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Number of Employees Participating in Volunteer Activities | 1998 | 712 | |
Total Cash Donations | US$ million | 15.22 | 4.54 |
Total Volunteer Service Hours | hours | 6730.64 | 2384 |