2024 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Decrease in total GHG emissions from previous year | % | 8 | 22 | ||
| GHG emissions per capita | tCO2e/person | 1.43 | 1.51 | 1.56 | 110 |
| Ping An Group’s annual travel carbon emissions (Scope 3 subset) | tCO2e | 67373 | 136 | ||
| Scope 1 direct GHG emissions | tCO2e | 28158 | 136 | ||
| Scope 1: Direct GHG emissions | tCO₂e | 17964 | 35990 | 28158 | 171 |
| Scope 2 indirect GHG emissions | tCO2e | 342193 | 136 | ||
| Scope 2: Indirect GHG emissions from energy | tCO₂e | 437312 | 373694 | 342193 | 171 |
| Scope 3 GHG emissions from paper consumption and employee traveling | tCO2e | 68941 | 136 | ||
| Scope 3: GHG emissions from paper consumption and employee traveling | tCO₂e | 37434 | 68921 | 68941 | 171 |
| Total GHG emissions | tCO2e | 492710 | 478606 | 439291 | 8, 22, 110 |
| Total Scope 1, 2 and 3 GHG emissions per capita | tCO₂e/person | 1.43 | 1.51 | 1.56 | 171 |
| Total operational GHG emissions (Scope 1, 2, and 3) | tCO2e | 439291 | 136 |
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 |
|---|---|---|---|---|---|
| Total amount of solid waste | tonne | 196864 | 81585 | 77970 | 172 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Operational GHG emissions (Scope 1, 2, 3, target) | 10000 tCO2e | 42.9 | 49.27 | 47.86 | 43.93 | 135 | ||||||
| Operational GHG emissions reduction (Scope 1, 2, 3, target, % change from previous year) | % | -8 | -17 | -27 | -32 | -40 | -58 | 135 | ||||
| Shenzhen Ping An Finance Center North Tower - emission reduction registered and listed at Guizhou Green Finance Low-Carbon Trading Center | tCO2e | 3469 | 137 | |||||||||
| Shenzhen Ping An Finance Center North Tower - first transaction price for carbon credits at Guizhou Green Finance Low-Carbon Trading Center | /tCO2e | RMB 60 | 137 |
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 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| 100% Renewable Energy Utilization in Operations | % | 100 | 135 | |||
| Cumulative investment in Shandong Hi-Speed New Energy Group by Ping An Trendwin Carbon Peaking and Carbon Neutrality Fund | RMB | 5 billion | 64 | |||
| Data centers purchased electricity consumption | kWh | 116691665 | 121302003 | 113138567 | 172 | |
| Diesel consumption | liter | 36625 | 7194 | 172 | ||
| Gasoline consumption | liter | 7715963 | 15367088 | 11962379 | 172 | |
| Green electricity purchase | kWh | 11612000 | 172 | |||
| Green electricity purchased | MWh | 11612 | 8 | |||
| Investment in green energy fields (wind power generation, solar thermal power generation, lithium batteries) by Ping An Annuity | RMB | 945 million | 64 | |||
| Natural gas consumption | cubic meter | 542129 | 1139919 | 986510 | 172 | |
| Renewable energy power generation | kWh | 4279 | 172 | |||
| Total Direct Energy Consumption (MWh) | 116943 | 172 | ||||
| Total Direct Energy Consumption (tonne of coal equivalent) | 14364 | 172 | ||||
| Total direct and indirect energy consumption (MWh) | 754653 | 172 | ||||
| Total direct and indirect energy consumption (tonne of coal equivalent) | 92739 | 172 | ||||
| Total direct and indirect energy consumption per capita | MWh/person | 2.69 | 172 | |||
| Total indirect energy consumption (MWh) | 637710 | 172 | ||||
| Total indirect energy consumption (tonne of coal equivalent) | 78375 | 172 | ||||
| Total non-renewable energy consumption | MWh | 743037 | 172 | |||
| Total renewable energy consumption | MWh | 11616 | 172 | |||
| Workplace purchased electricity consumption | kWh | 635996581 | 533966565 | 512954923 | 172 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Water consumption | tonne | 4228191 | 6099768 | 3896740 | 172 |
| Water consumption per capita | tonne/person | 12.28 | 19.27 | 13.87 | 172 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Employees covered by Employee Carbon Account Platform | employees | 180000 | 8 |
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 |
|---|---|---|---|---|---|
| Total paper consumption in business and office | tonne | 1559 | 1676 | 1436 | 172 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Area of green buildings or healthy buildings | m² | 3214286 | 3754939 | 173 |
| Number of green buildings or healthy buildings | buildings, unit | 29 | 30 | 8, 173 |
| Operations certificated by ISO/IEC 27001 Information Security Management System | % | 93 | 8 |
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 | 2040 | 2060 | Report Pages |
|---|---|---|---|---|
| Proportion of workplaces and branches facing minor impact from physical risks under SSP1-1.9 low emission scenario | % | 62 | 53 | 130 |
| Proportion of workplaces and branches facing minor impact from physical risks under SSP5-8.5 high emission scenario | % | 45 | 28 | 130 |
| Proportion of workplaces and branches facing moderate impact from physical risks under SSP1-1.9 low emission scenario | % | 8 | 19 | 130 |
| Proportion of workplaces and branches facing moderate impact from physical risks under SSP5-8.5 high emission scenario | % | 33 | 51 | 130 |
| Proportion of workplaces and branches facing negligible impact from physical risks under SSP1-1.9 low emission scenario | % | 30 | 28 | 130 |
| Proportion of workplaces and branches facing negligible impact from physical risks under SSP5-8.5 high emission scenario | % | 22 | 21 | 130 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Attendance rate of general meeting (%) | % | 100 | 100 | 174 | |
| Average compensation of female employees | RMB | 187452 | 201576 | 205751 | 168 |
| Average compensation of male employees | RMB | 222506 | 243409 | 249078 | 168 |
| Average tenure of Board Members | year | 7 | 6.53 | 173 | |
| Board of Directors Composition by Age - 31-50 (including 50) | % | 20 | 173 | ||
| Board of Directors Composition by Age - Above 50 | % | 80 | 173 | ||
| Board of Directors Composition by Gender - Female | % | 20 | 173 | ||
| Board of Directors Composition by Gender - Male | % | 80 | 173 | ||
| Board of Directors Headcount - Executive Director | person | 5 | 173 | ||
| Board of Directors Headcount - Independent Non-executive Director | person | 6 | 173 | ||
| Board of Directors Headcount - Non-executive Director | person | 4 | 173 | ||
| Board of Directors Headcount - Total | person | 15 | 173 | ||
| Compensation (exclude Senior Management) | RMB | 204696 | 221803 | 226836 | 168 |
| External supervisors to total number of supervisors | % | 60 | 60 | 173 | |
| Number of Grade-A tertiary hospitals in Ping An Health network | 400 | 68 | |||
| Number of contracted doctors (internal and external) in Ping An Health | 50000 | 68 | |||
| Number of corporate clients served with health management programs | 67000 | 68 | |||
| Number of employees aged 30-50 years old | person | 201147 | 191729 | 201749 | 166 |
| Number of employees aged >50 years old | person | 8910 | 9525 | 11098 | 166 |
| Number of employees aged ≤30 years old | person | 134166 | 87497 | 60206 | 166 |
| Number of employees in Chinese mainland | person | 343447 | 287544 | 271910 | 166 |
| Number of employees in asset management business | person | 19651 | 18833 | 17029 | 166 |
| Number of employees in banking business | person | 44207 | 43119 | 41011 | 166 |
| Number of employees in insurance business | person | 170053 | 151484 | 144925 | 166 |
| Number of employees in other businesses | person | 16632 | 19886 | 21974 | 166 |
| Number of employees in other regions | person | 776 | 1207 | 1143 | 166 |
| Number of employees in technology business | person | 93680 | 55429 | 48114 | 166 |
| Number of employees participating in Core Personnel Stock Ownership Plan and Long-Term Service Plan | employees | 103610 | 8 | ||
| Number of employees participating in key employee stock ownership plan and long-term service plan | person | 101136 | 103232 | 103610 | 168 |
| Number of employees with bachelor's degree | person | 193042 | 170835 | 164362 | 167 |
| Number of employees with college degree | person | 105568 | 75432 | 66994 | 167 |
| Number of employees with disabilities | person | 285 | 260 | 167 | |
| Number of employees with doctorate or master's degree | person | 29179 | 28635 | 28362 | 167 |
| Number of employees with other education | person | 16434 | 13849 | 13335 | 167 |
| Number of female employees | person | 173669 | 147408 | 138926 | 166 |
| Number of female senior managers | person | 3 | 5 | 4 | 167 |
| Number of foreign employees | person | 497 | 880 | 570 | 167 |
| Number of general meetings (time) | time | 1 | 1 | 174 | |
| Number of male employees | person | 170554 | 141343 | 134127 | 166 |
| Number of male senior managers | person | 8 | 7 | 7 | 167 |
| Number of participants of general meetings (person) | person | 823 | 1121 | 174 | |
| Number of senior managers | person | 11 | 12 | 11 | 167 |
| Proportion of employees with disabilities | % | 0.10 | 0.10 | 167 | |
| Proportion of men in senior management | % | 58 | 64 | 167 | |
| Proportion of women in senior management | % | 42 | 36 | 167 | |
| Social Insurance | RMB million | 490951 | 506336 | 554996 | 162 |
| Supervisory Committee Composition by Age - 31-50 (including 50) | % | 20 | 173 | ||
| Supervisory Committee Composition by Age - Above 50 | % | 80 | 173 | ||
| Supervisory Committee Composition by Gender - Female | % | 20 | 173 | ||
| Supervisory Committee Composition by Gender - Male | % | 80 | 173 | ||
| Supervisory Committee Headcount - Employee Representative Supervisor | person | 2 | 173 | ||
| Supervisory Committee Headcount - Independent Supervisor | person | 3 | 173 | ||
| Supervisory Committee Headcount - Total | person | 5 | 173 | ||
| Total annual tax payment | RMB billion | 85.7 | 8 | ||
| Total number of employees | person | 344223 | 288751 | 273053 | 166 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate (%) | % | 28 | 28 | 16 | 168 |
| Employee turnover rate by age: 30-50 years old (person) | 18 | 19 | 12 | 168 | |
| Employee turnover rate by age: >50 years old (person) | 15 | 20 | 16 | 168 | |
| Employee turnover rate by age: ≤30 years old (person) | 41 | 41 | 29 | 168 | |
| Employee turnover rate by gender: Female (%) | % | 27 | 26 | 15 | 168 |
| Employee turnover rate by gender: Male (%) | % | 31 | 29 | 17 | 168 |
| Employee turnover rate by region: Chinese mainland (%) | % | 28 | 28 | 16 | 168 |
| Employee turnover rate by region: Other regions (%) | % | 34 | 26 | 27 | 168 |
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 fatalities (person) | person | 6 | 13 | 6 | 169 |
| Rate of work-related fatalities (%) | % | 0.002 | 0.004 | 0.002 | 169 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of lost days due to work-related injuries (day) | day | 13000 | 14398 | 16190 | 169 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Amount on employees' work injury insurance (in RMB million) | RMB million | 130 | 169 |
| Coverage of work injury insurance (%) | % | 100 | 169 |
| Number of employees served with health management programs for corporate clients | million | 29 | 68 |
| Year-on-year increase in loss prevention effectiveness | % | 10.4 | 106 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| ESG training coverage of suppliers | % | 100 | 22 | ||
| Overall employee satisfaction survey score | 90 | 22 | |||
| Total Coverage Rate of Face-to-Face and Online Training (%) | % | 99.46 | 99.38 | 99.59 | 169 |
| Total Coverage Rate of Face-to-Face and Online Training by Gender: Female (%) | % | 99.36 | 99.64 | 99.62 | 169 |
| Total Coverage Rate of Face-to-Face and Online Training by Gender: Male (%) | % | 99.56 | 99.13 | 99.56 | 169 |
| Total Coverage Rate of Face-to-Face and Online Training by Level: Others (%) | % | 99.56 | 99.39 | 99.60 | 169 |
| Total Coverage Rate of Face-to-Face and Online Training by Level: Senior managers (%) | % | 96.96 | 98.35 | 98.86 | 169 |
| Training and Development - number of webinar master courses launched online | courses | 36 | 12 | ||
| Training and Development - rural teachers receiving professional training | teachers | over 20000 | 12 | ||
| Training and Development - students benefiting from trained rural teachers | students | over 310000 | 12 | ||
| Training and Development - teenagers recruited to visit technology enterprises | teenagers | 600 | 12 | ||
| Training and Development - views of online master courses supported by Ping An | million views | 210 | 12 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average hours of training per employee (hour) | hour | 40.80 | 45.13 | 49.16 | 169 |
| Average hours of training per employee by Gender: Female (hour) | hour | 41.68 | 46.11 | 49.49 | 169 |
| Average hours of training per employee by Gender: Male (hour) | hour | 40.04 | 44.12 | 48.82 | 169 |
| Average hours of training per employee by Level: Others (hour) | hour | 40.78 | 44.96 | 48.99 | 169 |
| Average hours of training per employee by Level: Senior managers (hour) | hour | 46.41 | 61.50 | 67.93 | 169 |
| Average training hours per employee | hours | 49.16 | 8 | ||
| Training investment amount (RMB) | RMB | 9.56 | 169 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Cumulative investment in support of the real economy | RMB trillion | 10.14 | 8 | ||
| Inclusive Banking Business Scale | RMB million | 653427 | 718680 | 654242 | 52, 162 |
| Inclusive Insurance | RMB million | 29492 | 14093 | 15697 | 162 |
| Inclusive Investment of Insurance Funds | RMB million | 8170 | 22893 | 14642 | 163 |
| Inclusive Investment of Insurance Funds - Bond | RMB million | 4437 | 11592 | 10616 | 163 |
| Inclusive Investment of Insurance Funds - Equity | RMB million | 514 | 1060 | 184 | 163 |
| Inclusive Investment of Insurance Funds - Financial Products | RMB million | 3220 | 10241 | 3843 | 163 |
| Inclusive investment of insurance funds | RMB million | 8170 | 22893 | 14642 | 63 |
| Inclusive investment of insurance funds - Bond | RMB million | 4437 | 11592 | 10616 | 63 |
| Inclusive investment of insurance funds - Equity | RMB million | 514 | 1060 | 184 | 63 |
| Inclusive investment of insurance funds - Financial Products | RMB million | 3220 | 10241 | 3843 | 63 |
| Increase in number of pharmacies in Ping An Health network by end of year | 4000 | 68 | |||
| Number of Suppliers | 5631 | 4492 | 5450 | 170 | |
| Number of Suppliers - Chinese mainland | 5559 | 4488 | 5075 | 170 | |
| Number of Suppliers - Other regions | 72 | 4 | 375 | 170 | |
| Number of cooperative hospitals in Ping An Health | 36000 | 68 | |||
| Number of pharmacies in Ping An Health network | 235000 | 68 | |||
| Total assets (in RMB million) | RMB million | 11009940 | 11583417 | 12957827 | 161 |
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 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average score of supplier assessment (100-point scale) (point) | point | 84.02 | 85.87 | 170 | |
| Coverage rate of ESG related training for suppliers (%) | % | 100 | 100 | 170 | |
| Green Banking Business Scale | RMB million | 182089 | 189726 | 184260 | 52, 162 |
| Green Investment of Insurance Funds | RMB million | 108104 | 128568 | 124712 | 163 |
| Green Investment of Insurance Funds - Bond | RMB million | 43711 | 82554 | 84609 | 163 |
| Green Investment of Insurance Funds - Equity | RMB million | 42927 | 34008 | 35657 | 163 |
| Green Investment of Insurance Funds - Financial Products | RMB million | 21466 | 12006 | 4446 | 163 |
| Green investment of insurance funds | RMB million | 108104 | 128568 | 124712 | 63 |
| Green investment of insurance funds - Bond | RMB million | 43711 | 82554 | 84609 | 63 |
| Green investment of insurance funds - Equity | RMB million | 42927 | 34008 | 35657 | 63 |
| Green investment of insurance funds - Financial Products | RMB million | 21466 | 12006 | 4446 | 63 |
| Number of suppliers approved in the 'Selection and Audit' process section after audit (unit) | unit | 7339 | 10821 | 170 | |
| Number of suppliers participating in ESG related training (unit) | unit | 4492 | 5450 | 170 |
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 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Identification and screening scope of sustainable thematic investment of insurance funds | RMB million | 4368400 | 4722228 | 5731409 | 63 |
| Number of suppliers eliminated (unit) | unit | 393 | 286 | 170 | |
| Total Responsible Banking Business Scale | RMB million | 1097667 | 1211467 | 1198135 | 52, 162 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Supplier cooperation contracts with sustainability clauses | % | 100 | 22 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Operating profit attributable to shareholders of the parent company (in RMB billion) | RMB billion | 146.9 | 111.7 | 121.9 | 161 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average usage frequency of medical consultation service (family doctor membership users) | times per person | 5 | 68 | ||
| Coverage of compulsory courses on customer rights protection for new employees | % | 100 | 22 | ||
| Cumulative number of Ping An Health paying users | million | 31 | 68 | ||
| Five-star satisfaction rate for medical consultation service (family doctor membership users) | % | 98 | 68 | ||
| Flash claim settlement rate | % | 56 | 106 | ||
| Flash claim settlement rate for life insurance policies | % | 56 | 22 | ||
| Individual customers using Health and Senior Care ecosystem services | million | 150 | 8 | ||
| Number of Ping An Life customers using Health and Senior Care ecosystem services | million | 21 | 68 | ||
| Number of customers served by Ping An's AI agents | billion times | 1.84 | 106 | ||
| Number of individual customers using Health and Senior Care ecosystem services | million | 150 | 68 | ||
| Number of individual life insurance sales agents | thousand people | 445 | 347 | 335 | 167 |
| Number of investor meetings | 407 | 8 | |||
| Number of registered users of Ping An Auto Owner APP | users | exceeds 235 million | 22 | ||
| Number of registered users of Ping An Pocket Bank APP | users | exceeds 170 million | 22 | ||
| Proactive service coverage rate (family doctor membership users) | % | 100 | 68 | ||
| Rectification rate of problems found in previous year (consumer protection) | % | 100 | 22 | ||
| Second-level underwriting automation rate for life insurance policies | % | 93 | 22 | ||
| Smart-level underwriting automation rate for life insurance policies | % | 93 | 106 | ||
| Verification rate of complaints reporting (%) | % | 100 | 100 | 100 | 174 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Cumulative number of patent applications | applications, patent applications | 55000 | 8, 106 | |
| Cumulative number of patent applications (item) | item | 51533 | 55080 | 170 |
| Number of patent applications per year (item) | item | 5456 | 3547 | 170 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| National pharmacy coverage rate | % | 35 | 68 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Compliance and internal control awareness raising activities coverage (%) | % | 100 | 100 | 100 | 174 |
| Losses reduced through intelligent anti-fraud claims interception | billion RMB | 11.94 | 106 | ||
| Number of ethical standards and anti-corruption activities (time) | time | 4659 | 5844 | 6322 | 174 |
| Partners signed the Integrity Statement | % | 99.5 | 22 | ||
| Rectification rate of issues identified in annual audit (%) | % | 99 | 99 | 100 | 174 |
| Responsible Investment of Insurance Funds | RMB million | 804714 | 725256 | 849919 | 163 |
| Responsible investment of insurance funds | RMB billion, RMB million | 804714 | 725256 | 849919 | 8, 63 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coverage of ethical standards and anti-corruption training | % | 100 | 8 | ||
| Coverage rate of ethical standards and anti-corruption training (%) | % | 100 | 100 | 100 | 174 |
| Coverage rate of training on anti-money laundering (%) | % | 100 | 100 | 100 | 174 |
| Number of employees participated in ethical standards and anti-corruption training (person) | person | 344233 | 288751 | 273053 | 174 |
| Risk management staff training coverage (%) | % | 100 | 100 | 100 | 174 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Compliance with the agenda procedures of general meetings (voting participation rate) (%) | % | 41.38 | 56.93 | 174 | |
| Educational scholarships - cumulative students funded by Ping An's educational scholarship programs | students | 31145 | 12 | ||
| Educational scholarships - prospective college students from Ping An Hope Primary Schools supported | students | 65 | 12 | ||
| Educational scholarships - students from Hope Primary Schools receiving one-on-one intensive support | students | 1000 | 12 | ||
| Educational scholarships - students supported by Ping An's educational scholarship programs | students | 1065 | 12 | ||
| Green Loan Balance | RMB million | 109768 | 139647 | 157762 | 52, 162 |
| Green loan balance | RMB billion | 157.762 | 8 | ||
| Inclusive Loan Balance | RMB million | 636371 | 572800 | 512296 | 52, 162 |
| Number of health management agencies in Ping An Health network | 104000 | 68 | |||
| Number of users with family doctor membership | million | 14 | 68 | ||
| Other Green Banking | RMB million | 72321 | 50079 | 26498 | 162 |
| Other Green Banking Businesses | RMB million | 72321 | 50079 | 26498 | 52 |
| Other Inclusive Banking Business | RMB million | 17056 | 146600 | 141946 | 162 |
| Other Inclusive Banking Services | RMB million | 17056 | 146600 | 141946 | 52 |
| Ping An Inspiration Program - college students receiving research grants and bounties | students | over 6000 | 12 | ||
| Social Banking Business Scale | RMB million | 262151 | 303061 | 359633 | 52, 162 |
| Summer Camps - schools participating in Greater Bay Area Hope Football Match | schools | 7 | 12 | ||
| Summer Camps - schools participating in summer and winter camps | schools | 73 | 12 | ||
| Summer Camps - teachers and students participating in Greater Bay Area Hope Football Match | participants | 90 | 12 | ||
| Summer Camps - teachers and students participating in summer and winter camps | participants | 409 | 12 | ||
| Total investment size of insurance funds (in RMB trillion) | RMB trillion | 4.37 | 4.72 | 5.73 | 161 |
| Total investment yield (%) | % | 2.7 | 3.6 | 5.8 | 161 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Fundraising scale of Ping An Asset Management-AVIC Leasing 2024 Phase 1 Green Asset-backed Special Plan (Revolving) | RMB | 681 million | 64 | ||
| Green Insurance | RMB million | 25105 | 37296 | 58608 | 162 |
| Industrial revitalization assistance funds | RMB billion | 52.014 | 8 | ||
| Industrial revitalization assistance funds for rural revitalization | RMB billion | 52.014 | 22 | ||
| Number of Hope Primary Schools constructed (Ping An Public Welfare Education) | schools | 119 | 11 | ||
| Number of science and technology books donated (Ping An Public Welfare Education) | books | 451200 | 11 | ||
| Number of scientific experiment kits donated (Ping An Public Welfare Education) | sets | 103200 | 11 | ||
| Number of smart schools with Science and Technology Literacy Improvement Program implemented (Ping An Public Welfare Education) | schools | 1039 | 11 | ||
| Number of sports grounds donated to rural schools (Ping An Public Welfare Education) | sports grounds | 9 | 11 | ||
| Number of volunteer service events held throughout the year (rural revitalization) | events | Nearly 30000 | 22 | ||
| Number of volunteers from Ping An employees and agents | volunteers | 490000 | 8 | ||
| Number of volunteers recruited for rural school teaching (Ping An Public Welfare Education) | volunteers | 12708 | 11 | ||
| Social Investment of Insurance Funds | RMB million | 688440 | 573795 | 710566 | 163 |
| Social Investment of Insurance Funds - Bond | RMB million | 305477 | 265145 | 276920 | 163 |
| Social Investment of Insurance Funds - Equity | RMB million | 219892 | 160782 | 322716 | 163 |
| Social Investment of Insurance Funds - Financial Products | RMB million | 163071 | 147868 | 110930 | 163 |
| Social investment of insurance funds | RMB million | 688440 | 573795 | 710566 | 63 |
| Social investment of insurance funds - Bond | RMB million | 305477 | 265145 | 276920 | 63 |
| Social investment of insurance funds - Equity | RMB million | 219892 | 160782 | 322716 | 63 |
| Social investment of insurance funds - Financial Products | RMB million | 163071 | 147868 | 110930 | 63 |
| Sustainable Insurance Premium Income | RMB million | 545548 | 557725 | 629301 | 162 |
| Sustainable insurance premium income | RMB billion | 629.301 | 8 | ||
| Total corporate annuity payments for the year | RMB million | 1121 | 1171 | 1098 | 168 |
| Total income (in RMB million) | RMB million | 985186 | 1031863 | 1141346 | 161 |
| Total tax paid (in RMB billion) | RMB billion | 115.5 | 100.2 | 85.7 | 161 |
| Total volunteer teaching hours contributed (Ping An Public Welfare Education) | hours | 443000 | 11 | ||
| Total volunteer teaching hours of public welfare teaching activities | hours | 6767 | 22 |
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) | tCO2e | 17964 | 35990 | 28158 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 437312 | 373694 | 342193 |
| Total GHG Emissions | tCO2e | 492710 | 478606 | 439291 |
| Total GHG Emissions Intensity (By Employee) | tCO2e/person | 1.43 | 1.51 | 1.56 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 37434 | 68921 | 68941 |
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 | tonne | 196864 | 81585 | 77970 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 |
|---|---|---|---|---|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | % | -8 | -17 | -27 | -32 | -40 | -58 |
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 | 2030 |
|---|---|---|---|---|---|
| Diesel Fuel Consumption | liter | 36625 | 7194 | ||
| Gasoline Consumption | liter | 7715963 | 15367088 | 11962379 | |
| Natural Gas Consumption | cubic meter | 542129 | 1139919 | 986510 | |
| Percentage of Renewable Energy Consumption | % | 1.54 | 100 | ||
| Purchased Electricity | kWh | 752688246 | 655268568 | 524266923 | |
| Renewable Energy Consumption | MWh | 11616 | |||
| Total Direct Energy Consumption | tonne of coal equivalent | 14364 | |||
| Total Electricity Consumption Intensity (By Employee) | MWh/person | 2.69 | |||
| Total Energy Consumption | tonne of coal equivalent | 754653 | |||
| Total Indirect Energy Consumption | tonne of coal equivalent | 637710 | |||
| Total Non-Renewable Fuel Consumption | MWh | 743037 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | tonne | 4228191 | 6099768 | 3896740 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh per year | 5000000 |
| Energy Consumption Reduction Compared to Last Year | tonnes of standard coal per year | 695000 |
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 Consumption (Paper) | tonne | 1559 | 1676 | 1436 |
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 Bachelor's Degree Employees | person | 193042 | 170835 | 164362 |
| Number of Employees Aged 30-50 | person | 201147 | 191729 | 201749 |
| Number of Employees Aged Above 50 | person | 8910 | 9525 | 11098 |
| Number of Employees Aged Below 30 | person | 134166 | 87497 | 60206 |
| Number of Employees in Mainland China | person | 343447 | 287544 | 271910 |
| Number of Employees in Overseas | person | 776 | 1207 | 1143 |
| Number of Female Employees | person | 173669 | 147408 | 138926 |
| Number of Male Employees | person | 170554 | 141343 | 134127 |
| Number of Master's Degree Employees | person | 29179 | 28635 | 28362 |
| Number of Senior Management Employees | person | 11 | 12 | 11 |
| Number of Senior Management Employees (Female) | person | 3 | 5 | 4 |
| Number of Senior Management Employees (Male) | person | 8 | 7 | 7 |
| Number of Total Employees | person | 344223 | 288751 | 273053 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | 18 | 19 | 12 | |
| Turnover Rate of Employees Aged Above 50 | 15 | 20 | 16 | |
| Turnover Rate of Employees Aged Below 30 | 41 | 41 | 29 | |
| Turnover Rate of Employees in Mainland China | % | 28 | 28 | 16 |
| Turnover Rate of Female Employees | % | 27 | 26 | 15 |
| Turnover Rate of Male Employees | % | 31 | 29 | 17 |
| Turnover Rate of Total Employees | % | 28 | 28 | 16 |
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 of the Last 3 Years | % | 0.0026666666666666666 | ||
| Number of Fatalities of the Last 3 Years | person | 25 | ||
| Number of Work-related Fatalities | person | 6 | 13 | 6 |
| Work-related Fatalities Rate | % | 0.002 | 0.004 | 0.002 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | day | 13000 | 14398 | 16190 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Work Safety | RMB million | 130 |
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 | % | 99.46 | 99.38 | 99.59 |
| Percentage of Trained Female Employees | % | 99.36 | 99.64 | 99.62 |
| Percentage of Trained Male Employees | % | 99.56 | 99.13 | 99.56 |
| Percentage of Trained Senior Management | % | 96.96 | 98.35 | 98.86 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | hour | 41.68 | 46.11 | 49.49 |
| Average Training Hours (General Staff) | hour | 40.78 | 44.96 | 48.99 |
| Average Training Hours (Male) | hour | 40.04 | 44.12 | 48.82 |
| Average Training Hours (Senior Management) | hour | 46.41 | 61.5 | 67.93 |
| Average Training Hours per Employee | hour | 40.8 | 45.13 | 49.16 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 5559 | 4488 | 5075 | |
| Number of Suppliers in Overseas | 72 | 4 | 375 | |
| Number of Total Suppliers | 5631 | 4492 | 5450 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Suppliers Participating in ESG Training | unit | 4492 | 5450 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Accumulative Number of Patent Applications | applications | 55080 |
| Number of New Patent Applications | applications | 3547 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Anti-corruption Policies have been Communicated to | % | 100 | 100 | 100 |
| Percentage of Suppliers Accepting Anti-corruption Policies | % | 99.5 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 | 100 | 100 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | person | 344233 | 288751 | 273053 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Registered Volunteers | volunteers | 12708 |
| Number of Volunteer Activities Sessions | events | 30000 |
| Total Volunteer Teaching Hours | hours | 6767 |