2024 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 | 2024 | Report Pages |
---|---|---|---|---|---|
Nitrogen oxides (nox) emissions | Tons | 7241 | 7313 | 7364 | 45 |
Particulate matter emissions | Tons | 599 | 624 | 639 | 45 |
Sulfur oxides (sox) emissions | Tons | 7.96 | 8.41 | 8.85 | 45 |
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 | Report Pages |
---|---|---|---|---|---|
Direct emissions (Scope 1) | Tons of CO₂e | 1497388 | 15 | ||
Direct emissions intensity (Scope 1) | kg of CO₂e/RMB1000000 of revenue | 338.01 | 15 | ||
Direct greenhouse gas emissions (scope 1) | Metric Tons CO2e | 1324339 | 1402275 | 1497388 | 45 |
Greenhouse gas emission intensity per parcel (kg of CO₂e/parcel) | kg CO₂e/parcel | 0.056 | 14 | ||
Greenhouse gas emission intensity per parcel (kg of CO₂e/parcel) - 2024 status | 62.5% | 14 | |||
Indirect emissions (Scope 2) | Tons of CO₂e | 410742 | 15 | ||
Indirect emissions intensity (Scope 2) | kg of CO₂e/RMB1000000 of revenue | 92.76 | 15 | ||
Indirect greenhouse gas emissions (scope 2) | Metric Tons CO2e | 318428 | 388692 | 410742 | 45 |
Intensity of greenhouse gas emissions | kg of CO₂e/RMB1000000 of revenue | 473.90 | 15 | ||
Intensity of greenhouse gas emissions (kg CO2e / RMB10000 of Revenue) | kg CO2e / RMB10000 of Revenue | 501 | 507 | 474 | 45 |
Intensity of greenhouse gas emissions (kg CO2e / parcel) | kg CO2e / parcel | 0.073 | 0.064 | 0.062 | 45 |
Other indirect emissions (Scope 3) - Others | Tons of CO₂e | 117390 | 15 | ||
Other indirect emissions (Scope 3) - Tape | Tons of CO₂e | 2655 | 15 | ||
Other indirect emissions (Scope 3) - Waybill | Tons of CO₂e | 70298 | 15 | ||
Other indirect greenhouse gas emissions (scope 3) - Others | Metric Tons CO2e | 78945 | 98277 | 117390 | 45 |
Other indirect greenhouse gas emissions (scope 3) - Transparent tape | Metric Tons CO2e | 1718 | 2151 | 2655 | 45 |
Other indirect greenhouse gas emissions (scope 3) - Waybill | Metric Tons CO2e | 49251 | 54537 | 70298 | 45 |
Total greenhouse gas emissions | Tons of CO₂e | 2098473 | 15 | ||
Total greenhouse gas emissions (scope 1+2+3) | Metric Tons CO2e | 1772680 | 1945932 | 2098473 | 45 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Emission intensity of hazardous waste | kg/Million RMB of revenue | 0.112 | 2.540 | 2.720 | 45 |
Total hazardous waste | kg | 3936 | 97568 | 120579 | 45 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Cumulative investment of recycling devices | Units | 25327 | 26683 | 28017 | 45 |
Cumulative total of recyclable bags | million | 53.43 | 16 | ||
Emission intensity of non-hazardous waste | Tons/Million RMB of revenue | 0.090 | 0.246 | 0.264 | 45 |
Total non-hazardous waste | Tons | 3168 | 9464 | 11196 | 45 |
Total quality cardboard boxes reused and recycled | million | 127.67 | 16 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2028 | 2050 | Report Pages |
---|---|---|---|---|
Cumulative required emission reduction for ZTO Express under IEA-NZE by 2050 scenario | million tonnes of CO2e | 146.28 | 13 | |
Cumulative required emission reduction for ZTO Express under IEA-Stated Policies scenario | million tonnes of CO2e | 67.83 | 13 | |
Greenhouse gas emission intensity per parcel (kg of CO₂e/parcel) - 2028 target | Reduce by 20% | 14 |
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 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Cumulative input in reusable bags for logistics transfers | 10000 pieces | 3225 | 4415 | 5343 | 45 |
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 | 2024 | Report Pages |
---|---|---|---|---|---|
Comprehensive energy consumption | Tons of standard coal equivalent | 775570 | 15 | ||
Comprehensive energy consumption intensity | Tons of standard coal equivalent/RMB1000000 of revenue | 0.175 | 15 | ||
Diesel consumption | Tons | 420256 | 444284 | 461778 | 15, 45 |
Direct energy consumption | Tons of Standard Coal Equivalent, Tons of standard coal equivalent | 612355.02 | 648856.31 | 681496 | 15, 45 |
Direct energy consumption intensity | Tons of standard coal equivalent/RMB1000000 of revenue | 0.154 | 15 | ||
Energy consumption intensity | Tons of Standard Coal Equivalent / RMB10000 of Revenue | 0.192 | 0.191 | 0.175 | 45 |
High-capacity trailer truck | No. | 9700 | 9200 | 9400 | 45 |
Indirect energy consumption | Tons of Standard Coal Equivalent, Tons of standard coal equivalent | 68621.33 | 83763.42 | 94074.06 | 15, 45 |
Indirect energy consumption intensity | Tons of standard coal equivalent/RMB1000000 of revenue | 0.021 | 15 | ||
Natural gas consumption | m³ | 6496370 | 15 | ||
Number of line-haul vehicles | vehicles | 10000 | 16 | ||
Purchased electricity | MWh | 558351 | 681557 | 765452 | 15, 45 |
Renewable energy usage | MWh | 36890 | 15 | ||
Total energy consumption | Tons of Standard Coal Equivalent | 680976.35 | 732619.73 | 775570.39 | 45 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Water withdrawal | 10000 Tons | 885 | 742 | 758 | 45 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Automated sorting equipment | No. | 458 | 464 | 595 | 45 |
Number of training sessions on use of new energy vehicles | sessions | 12 | 16 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of reusable bags invested | million | 8.87 | 16 | ||
Number of training sessions on packaging | sessions | 13 | 16 | ||
Other packaging materials procurement volume | kg | 48174890 | 16 | ||
Packaging intensity | kg/Million RMB of revenue | 1958 | 16 | ||
Packaging material intensity | kg/Million RMB of revenue | 1622.05 | 1681.91 | 1957.68 | 45 |
Total amount of packaging materials | Tons | 57383105 | 64617003 | 86687647 | 45 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Environmental training | Times | 10 | 12 | 13 | 45 |
Number of new energy vehicles | vehicles | 3900 | 16 | ||
Number of training sessions related to eco-friendly practices | sessions | 13 | 16 |
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 | 2050 | Report Pages |
---|---|---|---|
Scenario-Based Potential Carbon Value at Risk (CVaR) of ZTO Express under IEA-Stated Policies scenario | % | 1.08 | 13 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Average cost of new hires | RMB thousands | 16.6 | 31 | ||
Employees aged 29 and below | Persons | 6753 | 5771 | 6191 | 46 |
Employees aged 30 to 50 | Persons | 14982 | 15031 | 15216 | 46 |
Employees aged 30-50 years old | Persons | 15031 | 15216 | 31 | |
Employees aged >50 years old | Persons | 2752 | 3070 | 31 | |
Employees aged above 50 | Persons | 3153 | 2752 | 3070 | 46 |
Employees aged ≤ 29 years old | Persons | 5711 | 6191 | 31 | |
Employees of American nationality | Persons | 1 | 31 | ||
Employees of Cambodian nationality | Persons | 278 | 214 | 31 | |
Employees of Chinese nationality, including Hong Kong, Macao and Taiwan | Persons | 23130 | 24104 | 31 | |
Employees of Japanese nationality | Persons | 1 | 31 | ||
Employees of Lao nationality | Persons | 31 | 62 | 31 | |
Employees of Myanmar nationality | Persons | 49 | 1 | 31 | |
Employees of Thai nationality | Persons | 30 | 2 | 31 | |
Employees of Vietnamese nationality | Persons | 6 | 31 | ||
Female employees | Persons | 8947 | 8482 | 8841 | 31, 45 |
Full-time employees | Persons | 24888 | 23554 | 24477 | 31, 45 |
Human capital return on investment | 2.5 | 35 | |||
Male employees | Persons | 15941 | 15072 | 15636 | 31, 45 |
New employees aged 30-50 years old | Persons | 2396 | 31 | ||
New employees aged >50 years old | Persons | 231 | 31 | ||
New employees aged ≤ 29 years old | Persons | 3762 | 31 | ||
New employees in middle management | Persons | 179 | 31 | ||
New employees in senior management | Persons | 4 | 31 | ||
New employees of Cambodian nationality | Persons | 60 | 31 | ||
New employees of Chinese nationality, including Hong Kong, Macao and Taiwan | Persons | 6524 | 31 | ||
New employees of Lao nationality | Persons | 6 | 31 | ||
New employees of Thai nationality | Persons | 1 | 31 | ||
New female employees | Persons | 2570 | 31 | ||
New frontline employees | Persons | 6406 | 31 | ||
New male employees | Persons | 4019 | 31 | ||
Percentage of employees of ethnic minorities | % | 5.52 | 5.88 | 6.22 | 46 |
Percentage of female senior managers | % | 18 | 18 | 18 | 46 |
Total number of employees | Persons | 24888 | 23554 | 24477 | 31, 45 |
Total number of new employees | Persons | 6589 | 31 | ||
Women in STEM-related positions | % | 26 | 31 | ||
Women in junior management | % | 44 | 31 | ||
Women in revenue-generating departments | % | 43 | 31 | ||
Women in senior management | % | 18 | 31 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Employee turnover rate | % | 24.09 | 24.32 | 23.35 | 46 |
Female employee turnover rate | % | 26.48 | 27.5 | 25.48 | 31, 46 |
Male employee turnover rate | % | 22.68 | 22.4 | 22.21 | 31, 46 |
Total employee turnover rate | % | 23.35 | 31 | ||
Turnover Rate of domestic employees (including Hong Kong, Macao, and Taiwan) | % | 22.91 | 23.31 | 46 | |
Turnover rate for Cambodian employees | % | 13.08 | 31 | ||
Turnover rate for Chinese nationality, including Hong Kong, Macao and Taiwan | % | 23.13 | 31 | ||
Turnover rate for Lao employees | % | 35.77 | 31 | ||
Turnover rate for Thai employees | % | 93.75 | 31 | ||
Turnover rate for employees aged 30-50 years old | % | 18.99 | 31 | ||
Turnover rate for employees aged >50 years old | % | 17.03 | 31 | ||
Turnover rate for employees aged ≤ 29 years old | % | 34.99 | 31 | ||
Turnover rate for foreign employees | % | 25.70 | 31 | ||
Turnover rate for frontline employees | % | 24.66 | 31 | ||
Turnover rate for middle management | % | 11.86 | 31 | ||
Turnover rate for minority ethnic group | % | 28.86 | 31 | ||
Turnover rate for senior management | % | 4.78 | 31 | ||
Turnover rate of Cambodian employees | % | 20.11 | 0.00 | 46 | |
Turnover rate of Laotian employees | % | 27.12 | 35.37 | 46 | |
Turnover rate of Thai employees | % | 81.01 | 93.75 | 46 | |
Turnover rate of employees aged 29 and below | % | 35.67 | 35.21 | 34.49 | 46 |
Turnover rate of employees aged 30 to 50 | % | 18.69 | 20.12 | 18.99 | 46 |
Turnover rate of employees aged above 50 | % | 18.38 | 18.99 | 17.03 | 46 |
Turnover rate of foreign employees | % | 60.92 | 25.70 | 46 | |
Voluntary turnover rate | % | 23.26 | 31 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of work-related deaths | Persons | 7 | 8 | 6 | 46 |
Work-related fatality rate | % | 0.03 | 0.03 | 0.02 | 46 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Lost time injury frequency | Million work hours | 1.32 | 1.40 | 1.44 | 46 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Female employees participating in health screening programs | Persons | 705 | 31 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Female employees trained | Persons | 2773 | 3308 | 5709 | 46 |
Frontline employees trained | Persons | 6090 | 7524 | 16685 | 46 |
Male employees trained | Persons | 4159 | 6431 | 13110 | 46 |
Middle management personnel trained | Persons | 821 | 2026 | 2008 | 46 |
Number of trained female employees | Persons | 5709 | 35 | ||
Number of trained frontline employees | Persons | 16685 | 35 | ||
Number of trained male employees | Persons | 13110 | 35 | ||
Number of trained middle management personnel | Persons | 2008 | 35 | ||
Number of trained senior management personnel | Persons | 126 | 35 | ||
Number of training sessions | Times | 334 | 302 | 1030 | 46 |
Percentage of trained employees | % | 27.85 | 41.35 | 76.88 | 46 |
Percentage of trained female employees | % | 30.34 | 35 | ||
Percentage of trained frontline employees | % | 88.66 | 35 | ||
Percentage of trained male employees | % | 69.66 | 35 | ||
Percentage of trained middle management personnel | % | 10.67 | 35 | ||
Percentage of trained personnel to total employees | % | 76.88 | 35 | ||
Percentage of trained senior management personnel | % | 0.67 | 35 | ||
Senior management personnel trained | Persons | 221 | 189 | 126 | 46 |
Total number of trained employees | Persons | 18819 | 35 | ||
Total number of trainees | person-times | 34643 | 35 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Average cost of training per employee | RMB | 73 | 35 | ||
Average employee training hours | Hours | 8 | 20 | 13 | 46 |
Average hours of training for employees aged 30-50 years old | Hours | 16 | 35 | ||
Average hours of training for employees aged > 50 years old | Hours | 6 | 35 | ||
Average hours of training for employees aged ≤ 29 years old | Hours | 10 | 35 | ||
Average hours of training for female employees | Hours | 15 | 35 | ||
Average hours of training for frontline employees | Hours | 14 | 35 | ||
Average hours of training for male employees | Hours | 12 | 35 | ||
Average hours of training for middle management | Hours | 6 | 35 | ||
Average hours of training for senior management | Hours | 13 | 35 | ||
Average number of training hours per employee | Hours | 13 | 35 | ||
Total Training Duration | Hours | 317971 | 35 | ||
Total employee training hours | Hours | 55465 | 194780 | 34643 | 46 |
Total training sessions | Sessions | 1030 | 35 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Domestic sorting hubs | No. | 98 | 99 | 95 | 45 |
Line-haul routes | No. | 3750 | 3900 | 3900 | 45 |
Line-haul vehicles | No. | 11000 | 10000 | 10000 | 45 |
Loading rate increase compared to 2023 | % | 4 | 16 | ||
Number of self-owned high-capacity trailer trucks | trucks | 4940 | 16 | ||
Percentage of slim tape purchased by headquarters | % | 100 | 100 | 100 | 45 |
Transparent tape procurement volume | kg | 960312 | 16 | ||
Waybill procurement volume | kg | 37552446 | 16 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Customer satisfaction | Score | 91 | 94 | 96 | 46 |
E-waybill usage rate | % | 100 | 100 | 100 | 45 |
No. of pickup/delivery outlets | No. | 31000 | 31000 | 31000 | 45 |
Number of customer complaints per 10 thousand orders | 1.99 | 1.95 | 46 | ||
Parcel volume | 100 million parcels | 244 | 302 | 340 | 45 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | Tons | 599 | 624 | 639 |
NOₓ Emissions | Tons | 7241 | 7313 | 7364 |
SOₓ Emissions | Tons | 7.96 | 8.41 | 8.85 |
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 | 2024 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | Metric Tons CO2e | 1324339 | 1402275 | 1497388 |
Indirect Energy Emissions (Scope 2) | Metric Tons CO2e | 318428 | 388692 | 410742 |
Total GHG Emissions | Metric Tons CO2e | 1772680 | 1945932 | 2098473 |
Total GHG Emissions Intensity (By Product Volume) | kg CO2e / parcel | 0.073 | 0.064 | 0.062 |
Total GHG Emissions Intensity (By Revenue) | kg CO2e / RMB10000 of Revenue | 501 | 507 | 474 |
Total Other Indirect Energy Emissions (Scope 3) | Metric Tons CO2e | 131914 | 154965 | 190343 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Total Hazardous Waste | kg | 3936 | 97568 | 120579 |
Total Hazardous Waste Intensity (By Revenue) | kg/Million RMB of revenue | 0.112 | 2.54 | 2.72 |
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 | 2024 |
---|---|---|---|---|
Non-Hazardous Waste Disposed | Tons | 3168 | 9464 | 11196 |
Total Non-Hazardous Waste Intensity (By Revenue) | Tons/Million RMB of revenue | 0.09 | 0.246 | 0.264 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2028 | 2050 |
---|---|---|---|
GHG Emissions Reduction Compared to Last Year | tonnes of CO2e | 146280000 | |
Percentage of Reduction in GHG Intensity Compared to Last Year | % | 20 |
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 | 2024 |
---|---|---|---|---|
Comprehensive Energy Consumption Intensity (By Revenue) | Tons of standard coal equivalent/RMB1000000 of revenue | 0.175 | ||
Diesel Fuel Consumption | Tons | 420256 | 444284 | 461778 |
Direct Energy Intensity (By Revenue) | Tons of standard coal equivalent/RMB1000000 of revenue | 0.154 | ||
Energy Consumption Intensity (By Revenue) | Tons of Standard Coal Equivalent / RMB10000 of Revenue | 0.192 | 0.191 | 0.175 |
Indirect Energy Intensity (By Revenue) | Tons of standard coal equivalent/RMB1000000 of revenue | 0.021 | ||
Natural Gas Consumption | m³ | 6496370 | ||
Purchased Electricity | MWh | 558351 | 681557 | 765452 |
Renewable Energy Consumption | MWh | 36890 | ||
Total Direct Energy Consumption | Tons of Standard Coal Equivalent | 612355.02 | 648856.31 | 681496.33 |
Total Energy Consumption | Tons of Standard Coal Equivalent | 680976.35 | 732619.73 | 775570.39 |
Total Indirect Energy Consumption | Tons of Standard Coal Equivalent | 68621.33 | 83763.42 | 94074.06 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Total Water Withdrawal | 10000 Tons | 885 | 742 | 758 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Packaging Material Intensity (By Revenue) | kg/Million RMB of revenue | 1622.05 | 1681.91 | 1957.68 |
Packaging Materials Consumed | Tons | 57383105 | 64617003 | 86687647 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Employees Aged 30-50 | Persons | 14982 | 15031 | 15216 |
Number of Employees Aged Above 50 | Persons | 3153 | 2752 | 3070 |
Number of Employees Aged Below 30 | Persons | 6753 | 5771 | 6191 |
Number of Female Employees | Persons | 8947 | 8482 | 8841 |
Number of Full-time Employees | Persons | 24888 | 23554 | 24477 |
Number of Male Employees | Persons | 15941 | 15072 | 15636 |
Number of New Employees | Persons | 6589 | ||
Number of New Employees (Above 50) | Persons | 231 | ||
Number of New Employees (Aged 30-50) | Persons | 2396 | ||
Number of New Employees (Aged Below 30) | Persons | 3762 | ||
Number of New Employees (Female) | Persons | 2570 | ||
Number of New Employees (Male) | Persons | 4019 | ||
Number of New Employees (Middle Management) | Persons | 179 | ||
Number of New Employees (Senior Management) | Persons | 4 | ||
Number of Total Employees | Persons | 24888 | 23554 | 24477 |
Percentage of Employees Aged 30-50 | % | 60.21 | 63.87 | 62.19 |
Percentage of Employees Aged Above 50 | % | 12.66 | 11.69 | 12.54 |
Percentage of Employees Aged Below 30 | % | 27.14 | 24.52 | 25.29 |
Percentage of Female Employees | % | 35.95 | 36.02 | 36.12 |
Percentage of Full-time Employees | % | 100 | 100 | 100 |
Percentage of Male Employees | % | 64.05 | 63.98 | 63.88 |
Percentage of New Employees | % | 26.92 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 18.69 | 20.12 | 18.99 |
Turnover Rate of Employees Aged Above 50 | % | 18.38 | 18.99 | 17.03 |
Turnover Rate of Employees Aged Below 30 | % | 35.67 | 35.21 | 34.99 |
Turnover Rate of Female Employees | % | 26.48 | 27.5 | 25.38 |
Turnover Rate of Male Employees | % | 22.68 | 22.4 | 22.25 |
Turnover Rate of Middle Management Employees | % | 11.86 | ||
Turnover Rate of Senior Management Employees | % | 4.78 | ||
Turnover Rate of Total Employees | % | 24.09 | 24.32 | 23.35 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Fatalities Rate as a Result of Work-related Injuries | % | 0.03 | 0.03 | 0.02 |
Fatalities Rate of the Last 3 Years | % | 0.0266666667 | ||
Number of Fatalities as a Result of Work-related Injuries | Persons | 7 | 8 | 6 |
Number of Fatalities of the Last 3 Years | Persons | 21 | ||
Number of Work-related Fatalities | Persons | 7 | 8 | 6 |
Work-related Fatalities Rate | % | 0.03 | 0.03 | 0.02 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Time Injury Frequency Rate (LTIFR/LTIR) | Million work hours | 1.32 | 1.4 | 1.44 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Percentage of Employees Trained | % | 27.85 | 41.35 | 76.88 |
Percentage of Trained Female Employees | % | 30.34 | ||
Percentage of Trained Male Employees | % | 69.66 | ||
Percentage of Trained Middle Management | % | 10.67 | ||
Percentage of Trained Senior Management | % | 0.67 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Average Training Hours (Employees Aged 30-50) | Hours | 16 | ||
Average Training Hours (Employees Over 50) | Hours | 6 | ||
Average Training Hours (Employees Under 30) | Hours | 10 | ||
Average Training Hours (Female) | Hours | 15 | ||
Average Training Hours (Male) | Hours | 12 | ||
Average Training Hours (Middle Management) | Hours | 6 | ||
Average Training Hours (Operational Employees) | Hours | 14 | ||
Average Training Hours (Senior Management) | Hours | 13 | ||
Average Training Hours per Employee | Hours | 8 | 20 | 13 |
Total Training Hours | Hours | 55465 | 194780 | 34643 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Complaint Growth Rate | % | 10.3 | |
Total Number of Customer Complaints | complaints | 600980 | 663000 |