- 01Welcome
- 02About this Report
- 03Approach to Sustainability
- 04Our Sustainability Priorities
- 05Environmental Impacts
- 06Social Impacts
- Customers
- Our people
- Partners
- Community
- 07ESG Data Table and GHG Accounting Methodology
CLP continually improves by managing, monitoring and reporting its ESG performance. These tables present a quantitative overview of the Group's 2022 financial and non-financial performance. The disclosures are selected from the GRI Standards, The Hong Kong Stock Exchange's ESG Reporting Guide, SASB Standards for Electric Utilities and ISSB's Exposure Draft of S2 Climate-related Disclosures, as well as other key performance data.
Detailed discussion of these metrics can be found in the corresponding Environmental impacts and Social impacts sections.
The 2022 data shaded in orange has been independently verified by PricewaterhouseCoopers. The assurance scope of past years' data can be found in previous Sustainability Reports.
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Download data (excel)2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total capital investment incurred by asset type (HK$M(%))1,2,3 | 17,849 (100%) | 15,411 (100%) | 13,022 (100%) | 12,028 (100%) | 12,851 (100%) | ISSB 14-c |
Transmission, distribution and retail | 6,379 (36%) | 5,957 (39%) | 4,810 (37%) | 5,229 (43%) | 4,953 (39%) | |
Coal | 2,280 (13%) | 2,628 (17%) | 3,638 (28%) | 2,473 (21%) | 3,040 (24%) | |
Gas | 6,713 (38%) | 5,639 (37%) | 3,445 (26%) | 3,146 (26%) | 4,098 (32%) | |
Nuclear | 0 (0%) | 0 (0%) | 0 (0%) | 352 (3%) | 0 (0%) | |
Wind | 1,721 (10%) | 842 (6%) | 455 (4%) | 457 (4%) | N/ | |
Hydro | 29 (0%) | N/ | ||||
Solar | 34 (0%) | N/ | ||||
Waste-to-energy | 1 (0%) | 18 (0%) | 7 (0%) | 123 (1%) | N/ | |
Others | 692 (4%) | 327 (2%) | 667 (5%) | 248 (2%) | 46 (0%) | |
Total operating earnings by asset type (HK$M(%))1,4 | 9,065 (100%) | 10,972 (100%)5 | 12,374 (100%) | 12,138 (100%) | 15,145 (100%) | |
Transmission, distribution and retail | 6,501 (71%) | 6,095 (56%)5 | 5,751 (46%) | 5,131 (42%) | 7,427 (49%) | |
Coal | -1,482 (-16%) | 763 (7%)5 | 2,871 (23%) | 2,503 (21%) | 3,370 (22%) | |
Gas | 1,412 (16%) | 1,312 (12%)5 | 1,510 (12%) | 1,735 (14%) | 1,533 (10%) | |
Nuclear | 1,965 (22%) | 1,908 (17%)5 | 1,594 (13%) | 1,688 (14%) | 1,720 (11%) | |
Wind | 428 (5%) | 630 (6%)5 | 567 (5%) | 1,011 (8%) | N/ | |
Hydro | 112 (1%) | N/ | ||||
Solar | 4 (0%) | N/ | ||||
Waste-to-energy | 9 (0%) | 10 (0%)5 | 8 (0%) | 5 (0%) | N/ | |
Others | 116 (1%) | 254 (2%)5 | 73 (1%) | 65 (1%) | 171 (1%) | |
Revenue by asset type (HK$M(%))1 | 100,662 (100%) | 83,959 | 79,590 | 85,689 | 91,425 | |
Transmission, distribution and retail | 39,169 (39%) | N/ | N/ | N/ | N/ | |
Coal | 26,188 (26%) | N/ | N/ | N/ | N/ | |
Gas | 21,662 (22%) | N/ | N/ | N/ | N/ | |
Nuclear | 7,000 (7%) | N/ | N/ | N/ | N/ | |
Wind | 1,950 (2%) | N/ | N/ | N/ | N/ | |
Hydro | 507 (1%) | N/ | N/ | N/ | N/ | |
Solar | 983 (1%) | N/ | N/ | N/ | N/ | |
Waste to energy | 58 (0%) | N/ | N/ | N/ | N/ | |
Others | 3,145 (3%) | N/ | N/ | N/ | N/ |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Economic value generated, distributed and retained (HK$M) | GRI 201-1 | |||||
Economic value generated | ||||||
Revenue | 100,662 | 83,959 | 79,590 | 85,689 | 91,425 | |
Share of profits of non-wholly owned entities1 | 2,036 | 1,129 | 1,608 | 1,828 | 1,509 | |
Economic value distributed | ||||||
Fuel costs | 26,603 | 18,506 | 15,753 | 16,712 | 17,187 | |
Other operating costs2 | 59,505 | 39,922 | 35,774 | 48,654 | 43,604 | |
Staff expenses3 | 4,668 | 5,107 | 4,844 | 4,535 | 4,449 | |
Finance costs4 | 1,981 | 1,774 | 1,875 | 2,033 | 2,107 | |
Dividends | 7,832 | 7,832 | 7,832 | 7,782 | 7,630 | |
Taxes5 | 1,649 | 1,720 | 2,529 | 2,189 | 3,565 | |
Donations | 10 | 15 | 27 | 21 | 18 | |
Economic value retained6 | 450 | 10,212 | 12,564 | 5,591 | 14,374 |
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Download data (excel)2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
CLP Group1 | ||||||
Total CO2e emissions – on an equity basis (kt)2,3 | 60,223 | 65,017 | 62,138 | 71,720 | N/ | GRI 305-1, 305-2, 305-3/ |
Scope 1 (kt)4 | 44,141 | 47,690 | 45,105 | 50,047 | N/ | |
Scope 2 (kt) | 220 | 236 | 244 | 250 | N/ | |
Scope 3 (kt) | 15,861 | 17,091 | 16,790 | 21,424 | N/ | |
Category 1: Purchased goods and services | 912 | 901 | 1,210 | 1,093 | N/ | |
Category 2: Capital goods | 902 | 1,488 | 685 | 1,347 | N/ | |
Category 3: Fuel- and energy-related activities | 12,046 | 12,733 | 12,690 | 16,671 | N/ | SASB IF-EU-110a.2 |
Category 5: Waste generated in operations | 56 | 80 | 63 | 101 | N/ | |
Category 6: Business travel | 2 | 1 | 1 | 8 | N/ | |
Category 7: Employee commuting | 5 | 4 | 2 | 4 | N/ | |
Category 11: Use of sold products | 1,939 | 1,884 | 2,138 | 2,200 | N/ |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
CLP Group's generation and energy storage portfolio1,2,3 | ||||||
CO2 – on an equity basis (kt)4 | 44,019 | 47,574 | 44,987 | N/ | N/ | GRI 305-1, 305-2/ |
CO2e – on an equity basis (kt)4 | 44,235 | 47,813 | N/ | N/ | N/ | |
CO2 – on an equity plus long-term capacity and energy purchase basis (kt)5,6 | 48,074 | 51,674 | 48,621 | N/ | N/ | |
CO2e – on an equity plus long-term capacity and energy purchase basis (kt)5,6 | 48,323 | 51,941 | N/ | N/ | N/ | |
CO2 – on an operational control basis (kt)4 | 44,338 | 46,842 | 43,808 | 50,412 | 52,052 | |
CO2e – on an operational control basis (kt)4 | 44,571 | 47,090 | 44,023 | 50,676 | 52,306 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
CLP Group – GHG emissions intensity of generation and energy storage portfolio1,2,3,4 | ||||||
On an equity plus long-term capacity | 0.55 | 0.57 | 0.57 | 0.63 | 0.66 | GRI 305-4/ |
On an equity basis (kg CO2e/ | 0.63 | 0.65 | 0.66 | 0.71 | 0.74 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
CLP Power Hong Kong – GHG emissions intensity of electricity sold1,2 | ||||||
CO2e emissions intensity of electricity sold by CLP Power Hong Kong | 0.39 | 0.39 | 0.37 | 0.50 | 0.51 | |
CO2 emissions intensity of electricity sold by CLP Power Hong Kong | 0.39 | 0.39 | 0.37 | 0.49 | 0.51 |
The 2022 data shaded in orange has been independently verified by PricewaterhouseCoopers. The assurance scope of past years' data can be found in previous Sustainability Reports.
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Download data (excel)2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Environmental regulatory non-compliances resulting in fines or prosecutions (number)1 | 0 | 0 | 0 | 0 | 0 | GRI 2-27 |
Environmental licence limit exceedances & other non-compliances (number)1 | 62 | 53 | 4 | 10 | 2 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Nitrogen oxides emissions (NOx) (kt)1,2 | 43.5 | 45.7 | 43.2 | 47.0 | 60.9 | GRI 305-7/ |
Sulphur dioxide emissions (SO2) (kt)1,2 | 48.9 | 52.7 | 48.0 | 44.7 | 76.1 | |
Particulates emissions (kt)1,2 | 6.8 | 7.6 | 6.9 | 7.7 | 8.5 | |
Sulphur hexafluoride (SF6) (kt)1,2 | 0.003 | 0.004 | 0.003 | N/ | N/ | |
Mercury (t)1,2 | 0.52 | 0.31 | N/ | N/ | N/ | SASB IF-EU-120a.1 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Hazardous solid waste (t)1,2,3 | ||||||
Produced | 869 | 1,524 | 1,503 | 862 | 1,435 | GRI 306-2/ |
Recycled | 493 | 520 | 523 | 201 | 631 | |
Hazardous liquid waste (kl)1,2,3 | ||||||
Produced | 1,103 | 1,017 | 1,091 | 1,578 | 1,685 | |
Recycled | 797 | 947 | 1,069 | 1,536 | 1,648 | |
Non-hazardous solid waste (t)1,2,3 | ||||||
Produced | 12,702 | 24,481 | 17,901 | 13,344 | 11,471 | GRI 306-2/ |
Recycled | 7,917 | 4,214 | 4,458 | 4,986 | 3,990 | |
Non-hazardous liquid waste (kl)1,2,3 | ||||||
Produced | 23 | 65 | 3 | 59 | 52 | |
Recycled | 23 | 65 | 3 | 57 | 52 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Ash produced (kt)1,2 | 3,088 | 3,403 | 2,624 | 3,032 | 3,419 | SASB IF-EU-150a.1 |
Ash recycled / | 2,365 | 2,501 | 1,793 | 3,667 | 2,263 | |
Gypsum produced (kt)1,2 | 286 | 367 | 334 | 441 | 253 | |
Gypsum recycled / | 280 | 365 | 335 | 438 | 250 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total water withdrawal (Mm3)1,2,3 | 5,339.3 | 5,243.74 | 5,466.04 | 5,475.44 | 5,154.25 | GRI 2.4, 303-3/ |
For cooling purpose | ||||||
Water withdrawal from freshwater resources | 42.7 | 43.35 | 33.65 | 47.65 | 53.85 | |
Water withdrawal from marine water resources | 5,287.0 | 5,190.36 | 5,421.76 | 5,415.46 | 5,087.3 | |
For non-cooling purposes | ||||||
Water withdrawal from freshwater resources | 4.6 | 5.3 | 5.7 | 5.8 | 6.0 | |
Water withdrawal from municipal sources | 5.0 | 4.8 | 4.9 | 6.7 | 7.0 | |
Total water withdrawal from water stressed areas | 167.7 | 100.24 | N/ | N/ | N/ | SASB IF-EU-140a.1 |
Total water discharge (Mm3)1,2,3,7 | 5,310.9 | 5,205.46 | 5,438.66 | 5,433.26 | 5,103.2 | GRI 2.4, 303-4 |
From cooling process | ||||||
Treated wastewater to freshwater bodies | 0 | 0 | 0 | 0 | 0 | |
Water discharge to marine water bodies | 5,287.0 | 5,190.36 | 5,421.76 | 5,415.46 | 5,087.3 | |
Wastewater to other destinations | 0 | 0 | 0 | 0 | 0.02 | |
From non-cooling processes | ||||||
Treated wastewater to freshwater bodies | 21.0 | 11.9 | 13.7 | 14.4 | 12.3 | |
Treated wastewater to marine water bodies | 1.6 | 1.3 | 1.5 | 1.7 | 1.6 | |
Wastewater to other destinations | 1.3 | 1.9 | 1.6 | 1.7 | 1.9 | |
Wastewater to sewerage | 0.04 | 0.03 | 0.03 | 0.03 | 0.03 | |
Total freshwater consumption of CLP Group's power generation (Mm3) | 31.3 | 41.58 | N/ | N/ | N/ | GRI 303-5/ |
Total freshwater consumption under | 16.5 | 17.25 | N/ | N/ | N/ | SASB IF-EU-140a.1 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Freshwater intensity of CLP Group's power generation (m3/ | 0.52 | 0.662 | 0.512 | 0.742 | 0.882 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Freshwater reused/ | 756 | 838 | 736 | 686 | 899 |
The 2022 data shaded in orange has been independently verified by PricewaterhouseCoopers. The assurance scope of past years' data can be found in previous Sustainability Reports.
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Download data (excel)2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total Hong Kong customers (number) | 2,752,071 | 2,711,421 | 2,671,836 | 2,636,408 | 2,597,083 | GRI EU3/ |
Residential | 2,407,225 | 2,369,217 | 2,333,901 | 2,301,200 | 2,265,151 | |
Commercial | 212,251 | 210,821 | 208,150 | 206,792 | 206,073 | |
Infrastructure and Public Services | 115,404 | 113,956 | 112,245 | 110,841 | 107,893 | |
Manufacturing | 17,191 | 17,427 | 17,540 | 17,575 | 17,966 | |
Total electricity delivered (GWh) | 34,824 | 35,355 | 33,963 | 34,284 | 33,662 | GRI EU3/ |
Residential | 10,113 | 10,525 | 10,298 | 9,451 | 9,191 | |
Commercial | 13,233 | 13,423 | 12,878 | 13,584 | 13,425 | |
Infrastructure and Public Services | 9,863 | 9,742 | 9,171 | 9,586 | 9,342 | |
Manufacturing | 1,615 | 1,665 | 1,616 | 1,663 | 1,704 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total Australian customers (number) | 2,462,537 | 2,442,683 | 2,449,401 | 2,480,781 | 2,550,138 | GRI EU3 |
Commercial and Industrial | 8,740 | 7,208 | 8,962 | 12,599 | 12,526 | |
Mass market | 2,453,797 | 2,435,475 | 2,440,439 | 2,468,182 | 2,537,612 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
System Average Interruption Frequency Index [SAIFI]1 | 0.27 | 0.21 | 0.19 | 0.17 | 0.19 | SASB IF-EU-550a.2 |
System Average Interruption Duration Index [SAIDI] (hours)1 | 0.30 | 0.23 | 0.39 | 0.42 | 0.46 | |
Unplanned Customer Minutes Lost [CML] (minutes)1 | 5.69 | 0.99 | 9.772 | 10.133 | 10.294 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total disconnections for Hong Kong retail buisness (number) | 4,859 | 4,943 | 4,999 | 4,643 | 6,722 | SASB IF-EU-240a.3 |
0 - 2 days | 144 | 105 | 98 | 4,333 | 6,319 | |
3 - 7 days | 739 | 796 | 506 | 170 | 225 | |
8 - 31 days | 1,817 | 2,251 | 2,274 | 101 | 168 | |
≥ 32 days | 2,159 | 1,791 | 2,121 | 39 | 10 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Coal consumed (for power generation) (TJ)1,2 | 394,274 | 426,190 | 403,379 | 485,453 | 521,568 | GRI 302-1/ |
Gas consumed (for power generation) (TJ)1,2 | 151,327 | 142,304 | 134,776 | 107,183 | 83,364 | |
Oil consumed (for power generation) (TJ)1,2 | 2,936 | 2,717 | 2,243 | 2,620 | 3,807 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
On an equity basis | ||||||
Total generation and energy storage capacity by asset type (MW(%))1,2 | 17,970 (100%) | 20,018 (100%) | 19,691 (100%) | 19,238 (100%) | 19,108 (100%) | GRI 2.4/ |
Coal | 8,486 (47.2%) | 10,795 (53.9%) | 10,765 (54.7%) | 10,765 (56.0%) | 10,765 (56.3%) | |
Gas | 4,934 (27.5%) | 4,666 (23.3%) | 4,600 (23.4%) | 4,194 (21.8%) | 4,147 (21.7%) | |
Nuclear | 1,600 (8.9%) | 1,600 (8.0%) | 1,600 (8.1%) | 1,600 (8.3%) | 1,600 (8.4%) | |
Wind3 | 1,680 (9.3%) | 1,747 (8.7%) | 1,521 (7.7%) | 1,521 (7.9%) | 1,521 (8.0%) | |
Hydro3 | 489 (2.7%) | 489 (2.4%) | 489 (2.5%) | 489 (2.5%) | 489 (2.6%) | |
Solar3 | 554 (3.1%) | 499 (2.5%) | 499 (2.5%) | 451 (2.3%) | 369 (1.9%) | |
Waste-to-energy3 | 7 (0.0%) | 7 (0.0%) | 7 (0.0%) | 7 (0.0%) | 7 (0.0%) | |
Energy Storage | 10 (0.1%) | 5 (0.0%) | 0 (0.0%) | N/ | N/ | |
Others | 210 (1.2%) | 210 (1.0%) | 210 (1.1%) | 210 (1.1%) | 210 (1.1%) | |
On an equity plus long-term capacity and energy purchase basis | ||||||
Total generation and energy storage capacity by asset type (MW(%))1,2,4 | 23,068 (100%) | 25,108 (100%) | 24,752 (100%) | 24,015 (100%) | 23,705 (100%) | |
Coal | 9,719 (42.1%) | 12,027 (47.9%) | 11,997 (48.5%) | 11,997 (50.0%) | 11,997 (50.6%) | |
Gas | 6,089 (26.4%) | 5,813 (23.2%) | 5,717 (23.1%) | 5,139 (21.4%) | 5,084 (21.4%) | |
Nuclear | 2,685 (11.6%) | 2,685 (10.7%) | 2,685 (10.8%) | 2,685 (11.2%) | 2,685 (11.3%) | |
Wind5 | 2,264 (9.8%) | 2,331 (9.3%) | 2,105 (8.5%) | 2,049 (8.5%) | 1,982 (8.4%) | |
Hydro5 | 489 (2.1%) | 489 (1.9%) | 489 (2.0%) | 489 (2.0%) | 489 (2.1%) | |
Solar5 | 848 (3.7%) | 793 (3.2%) | 793 (3.2%) | 745 (3.1%) | 558 (2.4%) | |
Waste-to-energy5 | 10 (0.0%) | 10 (0.0%) | 10 (0.0%) | 10 (0.0%) | 10 (0.0%) | |
Energy Storage | 665 (2.9%) | 660 (2.6%) | 655 (2.6%) | N/ | N/ | |
Others | 300 (1.3%) | 300 (1.2%) | 300 (1.2%) | 900 (3.7%) | 900 (3.8%) |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
On an equity basis | ||||||
Total energy sent out by asset type (GWh(%))1,2,3 | 69,726 (100%) | 73,113 (100%) | 68,699 (100%) | 70,949 (100%) | N/ | GRI 2.4/ |
Coal | 37,031 (53.1%) | 42,002 (57.4%) | 39,438 (57.4%) | 44,596 (62.9%) | N/ | |
Gas | 14,435 (20.7%) | 13,233 (18.1%) | 12,390 (18.0%) | 9,979 (14.1%) | N/ | |
Nuclear | 12,346 (17.7%) | 12,302 (16.8%) | 11,192 (16.3%) | 10,888 (15.3%) | N/ | |
Wind4 | 3,146 (4.5%) | 2,959 (4.0%) | 2,886 (4.2%) | 2,924 (4.1%) | N/ | |
Hydro4 | 1,835 (2.6%) | 1,668 (2.3%) | 1,879 (2.7%) | 1,758 (2.5%) | N/ | |
Solar4 | 901 (1.3%) | 922 (1.3%) | 898 (1.3%) | 805 (1.1%) | N/ | |
Waste-to-energy4 | 29 (0.0%) | 27 (0.0%) | 15 (0.0%) | 0 (0.0%) | N/ | |
Energy Storage | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | N/ | N/ | |
Others | 1 (0.0%) | 0 (0.0%) | 1 (0.0%) | 0 (0.0%) | N/ | |
On an equity plus long-term capacity and energy purchase basis | ||||||
Total energy sent out by asset type (GWh(%))1,2,3,5,6 | 87,360 (100%) | 91,183 (100%) | 85,949 (100%) | 88,573 (100%) | 100% | GRI 2.4/ |
Coal | 39,027 (44.7%) | 43,995 (48.2%) | 41,118 (47.8%) | 48,512 (54.8%) | 60% | |
Gas | 19,507 (22.3%) | 18,461 (20.2%) | 17,157 (20.0%) | 13,073 (14.8%) | 12% | |
Nuclear | 20,836 (23.9%) | 20,962 (23.0%) | 19,923 (23.2%) | 19,400 (21.9%) | 20% | |
Wind7 | 4,709 (5.4%) | 4,611 (5.1%) | 4,445 (5.2%) | 4,474 (5.0%) | 8% | |
Hydro7 | 1,835 (2.1%) | 1,668 (1.8%) | 1,879 (2.2%) | 1,758 (2.0%) | ||
Solar7 | 1,472 (1.7%) | 1,524 (1.7%) | 1,522 (1.8%) | 1,467 (1.7%) | ||
Waste-to-energy7 | 42 (0.0%) | 38 (0.0%) | 22 (0.0%) | 0 (0.0%) | N/ | |
Energy Storage | -69 (-0.1%) | -75 (-0.1%) | -118 (-0.1%) | N/ | N/ | |
Others | 2 (0.0%) | 1 (0.0%) | 1 (0.0%) | -109 (-0.1%) | 0% | |
On an operational control basis | ||||||
Total energy sent out (GWh)3 | 60,475 | 62,967 | 58,918 | N/ | N/ | SASB IF-EU-000.D / |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Customer satisfaction score | ||||||
CLP | 72 | 73 | 74 | 72 | 73 | |
All public utilities in the energy sector | 73 | 74 | 74 | 73 | 73 | |
Public service organisations | 73 | 73 | 74 | 73 | 73 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Customer service | ||||||
Calls handled by EnergyAustralia (number) | 1,418,676 | 1,440,277 | 1,696,233 | 1,856,845 | 2,364,731 | |
Complaints received by EnergyAustralia (number) | 13,259 | 14,643 | 17,049 | 20,937 | 23,390 |
The 2022 data shaded in orange has been independently verified by PricewaterhouseCoopers. The assurance scope of past years' data can be found in previous Sustainability Reports.
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Download data (excel)2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total | ||||||
Total employee headcount (number) | 8,318 | 8,116 | 8,060 | 7,960 | 7,843 | |
Full-time (number) | 8,154 | 7,930 | 7,865 | 7,754 | 7,634 | |
Part-time (number) | 164 | 186 | 195 | 206 | 209 | |
Permanent (average %) | 85.7 | 87.0 | 87.6 | 87.8 | 87.2 | |
Fixed-term contract (average %) | 14.3 | 13.0 | 12.4 | 12.2 | 12.8 | |
Hong Kong | ||||||
Total employee headcount (number) | 4,954 | 4,771 | 4,689 | 4,604 | 4,543 | GRI 2-7/ |
Full-time (number) | 4,948 | 4,770 | 4,688 | 4,603 | 4,538 | |
Part-time (number) | 6 | 1 | 1 | 1 | 5 | |
Permanent (average %) | 81.4 | 83.5 | 85.1 | 85.4 | 84.0 | |
Fixed-term contract (average %) | 18.6 | 16.5 | 14.9 | 14.6 | 16.0 | |
Mainland China | ||||||
Total employee headcount (number) | 663 | 627 | 609 | 607 | 596 | |
Full-time (number) | 663 | 627 | 609 | 607 | 596 | |
Part-time (number) | 0 | 0 | 0 | 0 | 0 | |
Permanent (average %) | 75.2 | 75.6 | 75.3 | 71.6 | 72.1 | |
Fixed-term contract (average %) | 24.8 | 24.4 | 24.7 | 28.4 | 27.9 | |
Australia | ||||||
Total employee headcount (number) | 2,251 | 2,281 | 2,320 | 2,280 | 2,246 | |
Full-time (number) | 2,093 | 2,096 | 2,126 | 2,075 | 2,042 | |
Part-time (number) | 158 | 185 | 194 | 205 | 204 | |
Permanent (average %) | 95.6 | 95.1 | 94.0 | 94.5 | 95.9 | |
Fixed-term contract (average %) | 4.4 | 4.9 | 6.0 | 5.5 | 4.1 | |
India | ||||||
Total employee headcount (number) | 450 | 437 | 442 | 469 | 458 | |
Full-time (number) | 450 | 437 | 442 | 469 | 458 | |
Part-time (number) | 0 | 0 | 0 | 0 | 0 | |
Permanent (average %) | 96.3 | 97.4 | 98.4 | 98.8 | 99.0 | |
Fixed-term contract (average %) | 3.7 | 2.6 | 1.6 | 1.2 | 1.0 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total (full-time equivalent)1 | ||||||
Total contractor | 10,519.4 | 9,911.3 | 9,707.7 | 11,123.9 | 10,470.0 | |
Labour supply2 | 1,157.2 | 1,329.9 | 1,423.9 | 1,573.0 | 1,577.0 | |
Service contractor3 | 9,362.2 | 8,581.5 | 8,283.8 | 9,550.9 | 8,893.0 | |
Hong Kong (full-time equivalent) | GRI 2-8 | |||||
Total contractor | 5,434.0 | 5,202.8 | 4,949.9 | 6,372.6 | 5,308.6 | |
Labour supply2 | 970.2 | 1,153.5 | 1,261.8 | 1,309.0 | 1,316.0 | |
Service contractor3 | 4,463.9 | 4,049.3 | 3,688.1 | 5,063.6 | 3,992.6 | |
Mainland China (full-time equivalent) | ||||||
Total contractor | 331.2 | 576.0 | 361.2 | 363.2 | 423.9 | |
Labour supply2 | 24.0 | 23.5 | 13.8 | 13.0 | 14.0 | |
Service contractor3 | 307.2 | 552.5 | 347.4 | 350.2 | 409.9 | |
Australia (full-time equivalent) | ||||||
Total contractor | 1,301.5 | 1,368.0 | 1,926.5 | 1,856.2 | 1,785.0 | |
Labour supply2 | 107.5 | 101.1 | 83.1 | 172.5 | 167.0 | |
Service contractor3 | 1,194.0 | 1,266.9 | 1,843.4 | 1,683.7 | 1,618.0 | |
India (full-time equivalent) | ||||||
Total contractor | 3,452.6 | 2,764.6 | 2,470.1 | 2,531.9 | 2,952.5 | |
Labour supply2 | 55.5 | 51.8 | 65.2 | 78.5 | 80.0 | |
Service contractor3 | 3,397.1 | 2,712.8 | 2,404.9 | 2,453.4 | 2,872.5 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Hong Kong (%) | 11.7 | N/ | N/ | N/ | N/ | GRI 401-1/ |
By age group | ||||||
Below 30 | 12.5 | N/ | N/ | N/ | N/ | |
30-39 | 10.6 | N/ | N/ | N/ | N/ | |
40-49 | 8.7 | N/ | N/ | N/ | N/ | |
50 and above | 14.5 | N/ | N/ | N/ | N/ | |
By gender | ||||||
Male | 11.3 | N/ | N/ | N/ | N/ | |
Female | 13.2 | N/ | N/ | N/ | N/ | |
Mainland China (%) | 5.4 | N/ | N/ | N/ | N/ | |
By age group | ||||||
Below 30 | 9.5 | N/ | N/ | N/ | N/ | |
30-39 | 4.3 | N/ | N/ | N/ | N/ | |
40-49 | 0.5 | N/ | N/ | N/ | N/ | |
50 and above | 10.7 | N/ | N/ | N/ | N/ | |
By gender | ||||||
Male | 5.0 | N/ | N/ | N/ | N/ | |
Female | 7.1 | N/ | N/ | N/ | N/ | |
Australia (%) | 24.8 | N/ | N/ | N/ | N/ | |
By age group | ||||||
Below 30 | 24.8 | N/ | N/ | N/ | N/ | |
30-39 | 25.9 | N/ | N/ | N/ | N/ | |
40-49 | 26.1 | N/ | N/ | N/ | N/ | |
50 and above | 21.3 | N/ | N/ | N/ | N/ | |
By gender | ||||||
Male | 23.1 | N/ | N/ | N/ | N/ | |
Female | 27.1 | N/ | N/ | N/ | N/ | |
India (%) | 12.9 | N/ | N/ | N/ | N/ | |
By age group | ||||||
Below 30 | 37.5 | N/ | N/ | N/ | N/ | |
30-39 | 12.0 | N/ | N/ | N/ | N/ | |
40-49 | 13.0 | N/ | N/ | N/ | N/ | |
50 and above | 6.2 | N/ | N/ | N/ | N/ | |
By gender | ||||||
Male | 12.8 | N/ | N/ | N/ | N/ | |
Female | 13.7 | N/ | N/ | N/ | N/ |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Hong Kong (%)2,3 | 6.6 | 4.6 | 3.1 | 2.4 | 2.3 | GRI 401-1/ |
By age group | ||||||
Below 30 | 8.1 | 7.4 | 6.3 | 4.4 | 5.9 | |
30-39 | 9.1 | 5.6 | 4.3 | 4.9 | 4.3 | |
40-49 | 7.2 | 5.2 | 2.6 | 1.9 | 1.7 | |
50 and above | 4.1 | 3.0 | 1.8 | 1.1 | 1.1 | |
By gender | ||||||
Male | 5.7 | 4.4 | 2.5 | 1.8 | 1.7 | |
Female | 9.8 | 5.4 | 5.4 | 4.9 | 5.0 | |
Mainland China (%)2,3 | 2.3 | 2.3 | 1.3 | 2.0 | 4.7 | |
By age group | ||||||
Below 30 | 8.3 | 6.7 | 1.4 | 8.4 | 16.4 | |
30-39 | 3.4 | 1.9 | 2.9 | 1.9 | 5.2 | |
40-49 | 0.0 | 2.5 | 0.5 | 0.5 | 1.5 | |
50 and above | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
By gender | ||||||
Male | 2.4 | 2.1 | 1.4 | 2.4 | 4.1 | |
Female | 1.8 | 2.9 | 0.9 | 0.0 | 7.5 | |
Australia (%)2,3 | 18.8 | 16.1 | 7.7 | 12.9 | 13.6 | |
By age group | ||||||
Below 30 | 21.4 | 25.5 | 13.6 | 19.3 | 18.6 | |
30-39 | 22.0 | 19.0 | 7.4 | 14.2 | 15.2 | |
40-49 | 17.9 | 11.2 | 6.2 | 11.5 | 10.5 | |
50 and above | 13.0 | 13.1 | 7.1 | 8.3 | 10.6 | |
By gender | ||||||
Male | 17.6 | 16.4 | 7.1 | 12.6 | 12.3 | |
Female | 20.5 | 15.7 | 8.5 | 13.4 | 15.6 | |
India (%)2,3 | 10.6 | 6.9 | 4.7 | 6.6 | 5.6 | |
By age group | ||||||
Below 30 | 29.5 | 12.5 | 5.6 | 7.4 | 6.4 | |
30-39 | 10.6 | 7.5 | 5.7 | 9.3 | 7.2 | |
40-49 | 10.4 | 4.8 | 4.7 | 2.9 | 2.9 | |
50 and above | 3.4 | 5.1 | 0.0 | 0.0 | 2.5 | |
By gender | ||||||
Male | 10.4 | 6.6 | 4.3 | 6.4 | 5.6 | |
Female | 12.0 | 9.4 | 7.4 | 7.5 | 5.7 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total (number) | 1,415 | 1,029 | 711 | 857 | 965 | GRI 401-1 |
By age group | ||||||
Below 30 | 667 | 342 | 237 | 309 | N/ | |
30-39 | 457 | 402 | 241 | 300 | N/ | |
40-49 | 197 | 204 | 145 | 158 | N/ | |
50 and above | 94 | 81 | 88 | 90 | N/ | |
By gender | ||||||
Male | 930 | 686 | 515 | 552 | 619 | |
Female | 485 | 343 | 196 | 305 | 346 | |
Hong Kong (number) | 731 | 524 | 408 | 348 | 307 | |
By age group | ||||||
Below 30 | 308 | 208 | 172 | 157 | N/ | |
30-39 | 265 | 187 | 125 | 121 | N/ | |
40-49 | 109 | 93 | 69 | 48 | N/ | |
50 and above | 49 | 36 | 42 | 22 | N/ | |
By gender | ||||||
Male | 504 | 368 | 308 | 239 | 200 | |
Female | 227 | 156 | 100 | 109 | 107 | |
Mainland China (number) | 71 | 45 | 29 | 43 | 47 | |
By age group | ||||||
Below 30 | 27 | 24 | 10 | 16 | N/ | |
30-39 | 35 | 16 | 10 | 25 | N/ | |
40-49 | 9 | 4 | 8 | 2 | N/ | |
50 and above | 0 | 1 | 1 | 0 | N/ | |
By gender | ||||||
Male | 50 | 37 | 25 | 36 | 41 | |
Female | 21 | 8 | 4 | 7 | 6 | |
Australia (number) | 543 | 433 | 255 | 423 | 582 | |
By age group | ||||||
Below 30 | 298 | 106 | 53 | 116 | N/ | |
30-39 | 126 | 182 | 93 | 138 | N/ | |
40-49 | 76 | 103 | 67 | 104 | N/ | |
50 and above | 43 | 42 | 42 | 65 | N/ | |
By gender | ||||||
Male | 323 | 260 | 166 | 242 | 352 | |
Female | 220 | 173 | 89 | 181 | 230 | |
India (number) | 70 | 27 | 19 | 43 | 29 | |
By age group | ||||||
Below 30 | 34 | 4 | 2 | 20 | N/ | |
30-39 | 31 | 17 | 13 | 16 | N/ | |
40-49 | 3 | 4 | 1 | 4 | N/ | |
50 and above | 2 | 2 | 3 | 3 | N/ | |
By gender | ||||||
Male | 53 | 21 | 16 | 35 | 26 | |
Female | 17 | 6 | 3 | 8 | 3 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total (%)2 | 14.1 | 14.6 | 14.5 | 13.9 | 16.4 | GRI EU15 |
Hong Kong (%)2 | 18.8 | 20.1 | 20.4 | 19.5 | 20.0 | |
Mainland China (%)2 | 15.7 | 15.1 | 13.4 | 14.5 | 13.2 | |
Australia (%)2,3 | 6.7 | 6.6 | 5.7 | 5.4 | 12.8 | |
India (%)2 | 5.5 | 5.0 | 5.1 | 4.8 | 4.0 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total (number) | 132 | 89 | 79 | 75 | 85 | |
Male | 100 | 71 | 68 | 64 | 67 | |
Female | 32 | 18 | 11 | 11 | 18 | |
Hong Kong (number) | 94 | 66 | 66 | 61 | 66 | |
Male | 79 | 52 | 58 | 51 | 50 | |
Female | 15 | 14 | 8 | 10 | 16 | |
Mainland China (number) | 3 | 0 | 0 | 4 | 8 | |
Male | 2 | 0 | 0 | 4 | 7 | |
Female | 1 | 0 | 0 | 0 | 1 | |
Australia (number) | 18 | 17 | 13 | 10 | 11 | |
Male | 12 | 16 | 10 | 9 | 10 | |
Female | 6 | 1 | 3 | 1 | 1 | |
India (number) | 17 | 6 | 0 | 0 | 0 | |
Male | 7 | 3 | 0 | 0 | 0 | |
Female | 10 | 3 | 0 | 0 | 0 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total (hours) | 46.2 | 51.6 | 42.5 | 40.1 | 46.1 | GRI 404-1/ |
By gender (hours) | ||||||
Male | 53.6 | 58.2 | 47.7 | 44.8 | 51.6 | |
Female | 26.0 | 33.3 | 27.6 | 26.8 | 28.5 | |
By professional category (hours) | ||||||
Managerial | 23.0 | 29.5 | 26.8 | 26.0 | 28.6 | |
Professional | 33.5 | 41.2 | 34.9 | 35.0 | 37.9 | |
General & technical staff | 63.9 | 65.8 | 52.2 | 47.1 | 55.8 | |
By region (hours) | ||||||
Hong Kong | 56.3 | 60.8 | 49.5 | 47.6 | 55.2 | |
Mainland China | 85.6 | 77.8 | 66.8 | 66.1 | 78.2 | |
Australia | 11.1 | 26.8 | 23.2 | 22.1 | 21.1 | |
India | 62.1 | 48.8 | 33.8 | 23.2 | 27.1 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Hong Kong (%) | 99.1 | 97.8 | 98.4 | 92.3 | 93.3 | HKEx B3.1 |
By gender | ||||||
Male | 99.4 | 98.4 | 98.4 | 94.9 | 95.4 | |
Female | 98.2 | 95.3 | 98.7 | 82.2 | 84.6 | |
By professional category | ||||||
Managerial | 94.6 | 90.6 | 96.0 | 80.6 | 87.8 | |
Professional | 99.3 | 97.8 | 99.2 | 93.1 | 92.3 | |
General & technical staff | 99.6 | 98.7 | 98.1 | 93.1 | 94.7 | |
Mainland China (%) | 95.9 | 100.0 | 100.0 | 100.0 | 99.8 | |
By gender | ||||||
Male | 97.1 | 100.0 | 100.0 | 100.0 | 100.0 | |
Female | 90.5 | 100.0 | 100.0 | 100.0 | 99.1 | |
By professional category | ||||||
Managerial | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
Professional | 92.4 | 100.0 | 100.0 | 100.0 | 100.0 | |
General & technical staff | 98.3 | 100.0 | 100.0 | 100.0 | 99.7 | |
Australia (%) | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
By gender | ||||||
Male | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
Female | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
By professional category | ||||||
Managerial | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
Professional | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
General & technical staff | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | |
India (%) | 94.2 | 95.9 | 69.9 | 81.4 | 83.2 | |
By gender | ||||||
Male | 94.1 | 95.6 | 70.4 | 80.9 | 82.5 | |
Female | 95.2 | 98.1 | 66.0 | 85.5 | 88.5 | |
By professional category | ||||||
Managerial | 86.8 | 96.8 | 58.6 | 87.9 | 93.4 | |
Professional | 95.7 | 95.1 | 74.9 | 86.3 | 95.8 | |
General & technical staff | 94.1 | 96.7 | 66.2 | 66.4 | 53.4 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Male (%)1 | 73.3 | 69.2 | 64.3 | 64.3 | 71.4 | GRI 405-1 |
Female (%)1 | 26.7 | 30.8 | 35.7 | 35.7 | 28.6 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total (%)2 | ||||||
Male | 73.3 | 73.7 | 74.0 | 74.0 | 76.1 | |
Female | 26.7 | 26.3 | 26.0 | 26.0 | 23.9 | |
Hong Kong (%) | ||||||
Male | 77.3 | 78.3 | 79.3 | 79.4 | 80.1 | |
Female | 22.7 | 21.7 | 20.7 | 20.6 | 19.9 | |
Mainland China (%) | ||||||
Male | 82.5 | 83.6 | 82.9 | 82.5 | 82.2 | |
Female | 17.5 | 16.4 | 17.1 | 17.5 | 17.8 | |
Australia (%)2 | ||||||
Male | 59.4 | 58.7 | 58.4 | 57.9 | 62.6 | |
Female | 40.6 | 41.3 | 41.6 | 42.1 | 37.4 | |
India (%) | ||||||
Male | 86.0 | 87.6 | 88.0 | 88.3 | 88.6 | |
Female | 14.0 | 12.4 | 12.0 | 11.7 | 11.4 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Hong Kong (%) | ||||||
Managerial - male | 72.0 | 71.1 | 74.4 | 75.7 | 75.6 | |
Managerial - female | 28.0 | 28.9 | 25.6 | 24.3 | 24.4 | |
Professional - male | 73.2 | 74.5 | 75.7 | 75.2 | 76.7 | |
Professional - female | 26.8 | 25.5 | 24.3 | 24.8 | 23.3 | |
General & technical staff - male | 82.3 | 83.1 | 83.3 | 83.5 | 83.5 | |
General & technical staff - female | 17.7 | 16.9 | 16.7 | 16.5 | 16.5 | |
Mainland China (%) | ||||||
Managerial - male | 76.0 | 77.8 | 84.8 | 78.9 | 76.5 | |
Managerial - female | 24.0 | 22.2 | 15.2 | 21.1 | 23.5 | |
Professional - male | 82.7 | 85.0 | 84.3 | 85.2 | 84.4 | |
Professional - female | 17.3 | 15.0 | 15.7 | 14.8 | 15.6 | |
General & technical staff - male | 82.8 | 82.9 | 81.9 | 81.0 | 81.1 | |
General & technical staff - female | 17.2 | 17.1 | 18.1 | 19.0 | 18.9 | |
Australia (%) | ||||||
Managerial - male | 62.9 | 61.4 | 63.8 | 68.6 | 72.4 | |
Managerial - female | 37.1 | 38.6 | 36.3 | 31.4 | 27.6 | |
Professional - male | 56.6 | 56.8 | 55.9 | 54.5 | 57.6 | |
Professional - female | 43.4 | 43.2 | 44.1 | 45.5 | 42.4 | |
General & technical staff - male | 62.7 | 61.1 | 61.4 | 61.0 | 67.1 | |
General & technical staff - female | 37.3 | 38.9 | 38.6 | 39.0 | 32.9 | |
India (%) | ||||||
Managerial - male | 89.5 | 90.3 | 89.7 | 90.9 | 93.4 | |
Managerial - female | 10.5 | 9.7 | 10.3 | 9.1 | 6.6 | |
Professional - male | 89.5 | 90.2 | 91.2 | 89.1 | 89.0 | |
Professional - female | 10.5 | 9.8 | 8.8 | 10.9 | 11.0 | |
General & technical staff - male | 81.7 | 84.1 | 84.3 | 84.9 | 85.7 | |
General & technical staff - female | 18.3 | 15.9 | 15.7 | 15.1 | 14.3 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Women in Leadership (%)2 | 29.1 | 30.5 | 27.3 | 24.2 | 22.9 | |
Women in Engineering (%)3 | 13.0 | 12.3 | 11.5 | 11.4 | 10.9 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Group total (%) | ||||||
Below 30 | 14.7 | 12.8 | 13.1 | 13.6 | 14.6 | |
30-39 | 31.5 | 30.6 | 29.7 | 29.3 | 28.2 | |
40-49 | 25.4 | 26.5 | 26.2 | 26.2 | 26.3 | |
50 and above | 28.4 | 30.2 | 31.0 | 30.9 | 30.9 | |
Hong Kong (%) | ||||||
Below 30 | 16.3 | 14.0 | 13.8 | 13.6 | 13.7 | |
30-39 | 27.4 | 25.5 | 23.6 | 22.7 | 21.5 | |
40-49 | 23.8 | 24.5 | 24.6 | 25.4 | 26.1 | |
50 and above | 32.5 | 36.0 | 38.0 | 38.3 | 38.7 | |
Mainland China (%) | ||||||
Below 30 | 13.6 | 13.2 | 12.5 | 14.0 | 15.6 | |
30-39 | 35.7 | 33.8 | 33.8 | 34.6 | 34.1 | |
40-49 | 28.1 | 30.0 | 32.7 | 32.1 | 33.5 | |
50 and above | 22.6 | 23.0 | 21.0 | 19.3 | 16.8 | |
Australia (%) | ||||||
Below 30 | 12.5 | 11.4 | 12.6 | 13.4 | 15.4 | |
30-39 | 34.9 | 35.9 | 36.6 | 37.1 | 36.9 | |
40-49 | 28.7 | 29.8 | 28.1 | 26.6 | 25.5 | |
50 and above | 23.9 | 22.9 | 22.7 | 22.9 | 22.2 | |
India (%) | ||||||
Below 30 | 8.9 | 5.7 | 10.2 | 14.9 | 18.3 | |
30-39 | 54.0 | 54.2 | 51.8 | 49.0 | 48.5 | |
40-49 | 22.7 | 25.0 | 24.2 | 23.9 | 22.9 | |
50 and above | 14.4 | 15.1 | 13.8 | 12.2 | 10.3 |
2022 | 2021 | 2020 | 20191 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Number of years | ||||||
Hong Kong | 14.1 | 15.4 | 16.3 | 16.8 | 17.3 | |
Mainland China | 12.1 | 12.3 | 12.0 | 11.4 | 13.7 | |
Australia | 7.6 | 7.4 | 7.1 | 5.2 | 4.9 | |
India | 8.1 | 8.1 | 7.6 | 7.2 | 6.8 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Employees1 | ||||||
Fatalities (number of personnel)2,3 | 0 | 0 | 0 | 0 | 1 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | GRI 403-2/ |
Days Away From Work Injuries (number of personnel)3,6 | 6 | 4 | 12 | 7 | 11 | GRI 403-2 |
Lost Time Injury Rate | 0.07 | 0.05 | 0.13 | 0.07 | 0.13 | |
High-consequence Injuries | 0 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.17 | 0.14 | 0.25 | 0.19 | 0.19 | GRI 403-2/ |
Work-related Ill Health | 4 | 1 | 0 | 0 | 1 | GRI 403-10/ |
Lost Days (number of days)11 | 176 | 30412 | 44313 | 46414 | 249 | GRI 403-2/ |
Contractors1 | ||||||
Fatalities (number of personnel)2,3 | 0 | 0 | 0 | 1 | 1 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.01 | 0.01 | GRI 403-2/ |
Days Away From Work Injuries (number of personnel)3,6 | 15 | 10 | 10 | 19 | 11 | GRI 403-2 |
Lost Time Injury Rate | 0.11 | 0.08 | 0.09 | 0.14 | 0.09 | |
High-consequence Injuries | 2 | 1.00 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.31 | 0.29 | 0.37 | 0.52 | 0.29 | GRI 403-2/ |
Employees and contractors combined1 | ||||||
Fatalities (number of personnel)2,3 | 0 | 0 | 0 | 1 | 2 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | GRI 403-2/ |
Days Away From Work Injuries (number of personnel)3,6 | 21 | 14 | 22 | 26 | 22 | GRI 403-2 |
Lost Time Injury Rate | 0.10 | 0.07 | 0.11 | 0.11 | 0.10 | |
High-consequence Injuries | 2 | 1.00 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.25 | 0.23 | 0.32 | 0.38 | 0.25 | GRI 403-2/ |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Hong Kong1,2 | ||||||
Employees | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 0 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | GRI 403-2/ |
Days Away from Work Injuries | 2 | 0 | 4 | 4 | 5 | GRI 403-2 |
Lost Time Injury Rate | 0.04 | 0.00 | 0.09 | 0.09 | 0.10 | |
High-consequence Injuries | 0 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.12 | 0.02 | 0.21 | 0.19 | 0.15 | GRI 403-2/ |
Work-related Ill Health | 0 | 0 | 0 | 0 | 0 | GRI 403-10/ |
Lost Days (number of days) | 16 | 0 | 119 | 246 | 120 | GRI 403-2/ |
Contractors | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 0 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | GRI 403-2/ |
Days Away from Work Injuries | 9 | 4 | 5 | 15 | 5 | GRI 403-2 |
Lost Time Injury Rate | 0.13 | 0.07 | 0.10 | 0.21 | 0.08 | |
High-consequence Injuries | 0 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.16 | 0.14 | 0.30 | 0.51 | 0.20 | GRI 403-2/ |
Mainland China1 | ||||||
Employees | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 0 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | GRI 403-2/ |
Days Away from Work Injuries | 0 | 0 | 2 | 0 | 0 | GRI 403-2 |
Lost Time Injury Rate | 0.00 | 0.00 | 0.19 | 0.00 | 0.00 | |
High-consequence Injuries | 0 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.30 | 0.00 | 0.19 | 0.10 | 0.00 | GRI 403-2/ |
Work-related Ill Health | 0 | 0 | 0 | 0 | 0 | GRI 403-10/ |
Lost Days (number of days) | 0 | 19 | 59 | 0 | 0 | GRI 403-2/ |
Contractors | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 0 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | GRI 403-2/ |
Days Away from Work Injuries | 0 | 0 | 1 | 0 | 0 | GRI 403-2 |
Lost Time Injury Rate | 0.00 | 0.00 | 0.10 | 0.00 | 0.00 | |
High-consequence Injuries | 0 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.00 | 0.08 | 0.49 | 0.00 | 0.07 | GRI 403-2/ |
Australia1 | ||||||
Employees | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 1 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.04 | GRI 403-2/ |
Days Away from Work Injuries | 4 | 4 | 6 | 3 | 6 | GRI 403-2 |
Lost Time Injury Rate | 0.18 | 0.18 | 0.25 | 0.10 | 0.26 | |
High-consequence Injuries | 0 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.28 | 0.45 | 0.46 | 0.31 | 0.44 | GRI 403-2/ |
Work-related Ill Health | 4 | 1 | 0 | 0 | 1 | GRI 403-10/ |
Lost Days (number of days) | 160 | 285 | 265 | 218 | 129 | GRI 403-2/ |
Contractors | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 1 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.06 | GRI 403-2/ |
Days Away from Work Injuries | 3 | 5 | 2 | 2 | 4 | GRI 403-2 |
Lost Time Injury Rate | 0.26 | 0.40 | 0.11 | 0.12 | 0.26 | |
High-consequence Injuries | 1 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.86 | 0.97 | 0.44 | 0.62 | 1.09 | GRI 403-2/ |
India1 | ||||||
Employees | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 0 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | GRI 403-2/ |
Days Away from Work Injuries | 0 | 0 | 0 | 0 | 0 | GRI 403-2 |
Lost Time Injury Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0 | |
High-consequence Injuries | 0 | 0 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | GRI 403-2/ |
Work-related Ill Health | 0 | 0 | 0 | 0 | 0 | GRI 403-10/ |
Lost Days (number of days) | 0 | 0 | 0 | 0 | 0 | GRI 403-2/ |
Contractors | ||||||
Fatalities (number of personnel) | 0 | 0 | 0 | 0 | 0 | GRI 403-2/ |
Fatality Rate | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | GRI 403-2/ |
Days Away from Work Injuries | 3 | 1 | 2 | 0 | 2 | GRI 403-2 |
Lost Time Injury Rate | 0.07 | 0.03 | 0.07 | 0.00 | 0.06 | |
High-consequence Injuries | 1 | 1 | N/ | N/ | N/ | GRI 403-9 |
Total Recordable Injury Rate | 0.44 | 0.41 | 0.46 | 0.68 | 0.19 | GRI 403-2/ |
The 2022 data shaded in orange has been independently verified by PricewaterhouseCoopers. The assurance scope of past years' data can be found in previous Sustainability Reports.
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Download data (excel)2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Lobbying, interest representation or similar | 0 | 0 | 0 | 0 | N/ | GRI 415-1 |
Local, regional or national political campaigns, organisations or candidates | 0 | 0 | 0 | 0 | N/ | |
Trade associations or tax-exempt groups (e.g. think tanks)1 | 8.69 | 14.12 | 8.90 | 8.04 | N/ | |
Others (e.g. spending related to ballot measures or referendums) | 0 | 0 | 0 | 0 | N/ |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total number of breaches of Code of Conduct reported to the Audit & Risk Committee (cases) | 10 | 18 | 25 | 31 | 20 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Convicted cases of corruption reported to the Audit & Risk Committee (cases) | 0 | 0 | 0 | 0 | 0 | GRI 205-3/ |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total suppliers by region (number)1 | 6,127 | 5,659 | 5,777 | 6,362 | 5,721 | GRI 2-6/ |
Australia | 1,894 | 1,942 | 2,216 | 2,215 | 1,986 | |
Mainland China | 1,257 | 1,216 | 1,142 | 1,166 | 1,011 | |
Hong Kong | 1,058 | 1,025 | 1,013 | 1,000 | 950 | |
India | 1,667 | 1,197 | 1,134 | 1,704 | 1,476 | |
Others (Asia Pacific) | 64 | 67 | 70 | 77 | 84 | |
Europe | 105 | 112 | 121 | 118 | 129 | |
America | 88 | 98 | 78 | 77 | 78 | |
Rest of the world | 1 | 2 | 3 | 5 | 7 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Total payment to suppliers by region (HK$M) | 54,794 | 43,997 | 36,544 | 36,746 | 39,183 | GRI 204-1 |
Australia | 12,727 | 10,617 | 8,526 | 8,356 | 9,410 | |
Mainland China | 19,937 | 17,226 | 15,577 | 11,603 | 10,339 | |
Hong Kong | 9,233 | 8,296 | 8,501 | 8,888 | 8,917 | |
India | 4,343 | 2,977 | 1,999 | 3,104 | 4,597 | |
Others (Asia Pacific) | 5,821 | 3016 | 960 | 3,093 | 4,363 | |
Europe | 1,854 | 1630 | 753 | 1,234 | 1,170 | |
America | 878 | 232 | 221 | 458 | 380 | |
Rest of the world | 1 | 3 | 5 | 10 | 7 |
The 2022 data shaded in orange has been independently verified by PricewaterhouseCoopers. The assurance scope of past years' data can be found in previous Sustainability Reports.
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Download data (excel)2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Community programmes implemented (number) | 481 | 443 | 468 | 663 | 695 | GRI 415-1 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Community spending by theme (%)1 | ||||||
Education and Development | 5 | 62 | 11 | 18 | 19 | |
Community Wellbeing | 30 | 352 | 28 | 9 | 22 | |
Environment | 61 | 562 | 57 | 68 | 50 | |
Arts and Culture | 2 | 1 | 2 | 2 | 3 | |
Community Engagement | 2 | 2 | 2 | 3 | 6 | |
Community spending by region (%)1 | ||||||
Hong Kong | 94 | 902 | 84 | 81 | 77 | |
Mainland China | 1 | 1 | 2 | 1 | 1 | |
Australia | 2 | 2 | 5 | 10 | 14 | |
India | 3 | 72 | 9 | 8 | 8 | |
Southeast Asia & Taiwan | 0 | 0 | 0 | 0 | 0 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Amount donated for charitable and other purposes (HK$M)1 | 10.02 | 15.09 | 27.00 | 20.98 | 18.31 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Volunteer hours from CLP staff and family members (hours)1 | 19,329 | 16,541 | 10,973 | 20,015 | 23,661 | |
Skill-based (%)2,3 | 12.2 | 0.4 | 0.8 | 0.5 | 2.4 | |
Non skill-based (%)2,4 | 87.8 | 99.6 | 99.2 | 99.5 | 97.6 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Beneficiaries (number) | ||||||
Direct beneficiaries | 1,305,000+ | 1,580,000+ | 918,000+ | 615,000+ | 730,000+ | |
Organisations benefitted1 | 280 | 232 | 263 | 401 | 434 | |
Beneficiaries by theme (%)2 | ||||||
Education and Development | 15.9 | 13.0 | 26.5 | 63.1 | 68.6 | |
Community Wellbeing | 72.1 | 63.0 | 65.0 | 20.3 | 20.3 | |
Environment | 9.9 | 23.9 | 8.3 | 16.1 | 10.4 | |
Arts and Culture | 2.1 | 0.1 | 0.2 | 0.5 | 0.7 |
2022 | 2021 | 2020 | 2019 | 2018 | GRI/ | |
---|---|---|---|---|---|---|
Workers | ||||||
Collective radiation dosage for workers (man-mSv) | 719.8 | 641.7 | 676.2 | 960.0 | 753.0 | |
Nuclear-related waste | ||||||
Spent nuclear fuel (t) | 75.4 | 33.1 | 37.7 | 75.2 | 37.6 | |
Low- to intermediate-level radioactive nuclear waste (m3) | 58.8 | 26.0 | 71.0 | 89.4 | 79.0 |