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ESG Fact Book 2021 (excel) (25
Swiss Equity Markets (Web Disclosure) via PUBT
Table of content
Table of content |
1. Table of content |
2. Introduction |
3. ESG and Investment |
4. CO2e emissions |
5. Energy consumption |
6. Air and road travel |
7. Waste, water, papaer, plastic |
8. Reuse and repair |
9. Employees |
10. Human Capital |
11. Health and well-being |
12. Gender diversity |
13. General customer data |
14. Customers in non-life insurance |
15. Customers in life insurance |
16. Insurance and services |
17. Board of Directors |
18. Execurive Management |
19. Remuneration |
21. EU Taxonomy |
22. Policies |
23. ESG ratings |
Introduction
2. Introduction |
Welcome to |
ESG and Investment
3. ESG and Investment | |||||||
Active ownership | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Active ownership through voting at AGM | No. | 209 | 4 | - | - | - | Number of votes in Glass Lewis as well as postal votes. A company with several meetings can count more than once. |
Percentag of total investment portfolio | % | 93 | - | - | - | - | N/A |
Active ownership through dialogue | No. | 8 | 2 | - | - | - | The data cover both dialogue done by |
Investements | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
In compliance with |
% | 92.3 | 94.8 | - | - | - | Internal report on companies that are in compliance with |
On our watch list | % | 7.7 | 4.1 | - | - | - | Internal report on companies that are in risk of not being in compliance with |
Verified breach | % | 0.0 | 1.1 | - | - | - | Internal report on companies that have a verified breach on one or more of the principles under |
Percentage of investments covered in the calculation | % | 100 | 100 | - | - | - | Internal calculation |
CO₂e emissions
4. Environment - CO2 emissions | |||||||
CO₂e emissions - absolute | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
CO₂e emissions - total (scope 1, 2 and some scope 3) | Tonnes CO₂e | 5.471 | 6.023 | 7.082 | 7.165 | 4.752 | Total of CO₂e emissions covering scope 1, 2 and 3 |
Scope 1 | Tonnes CO₂e | 1.458 | 1.352 | 1.383 | 1.449 | 1.669 | CO₂e emissions include |
Scope 2 | Tonnes CO₂e | 2,020 | 2.123 | 2.322 | 2.391 | 1.317 | CO2e emissions include consumption of district heating and power consumption. |
Scope 3 | Tonnes CO₂e | 1.993 | 2.549 | 3.378 | 3.325 | 1.767 | CO₂e emissions include company travel in own cars and air travel. Company travel by car: CO₂e emissions are calculated based on the number of kilometres travelled, which in tuis calculated on the basis of the mileage allowance paid to employees divided by the national mileage rate. Air travel: CO₂e is calculated based on the number of kilometres flown based on a report from the group travel agency and from internal registrations of other flights. Data for 2018 does not include internal registration of other flights. |
CO₂e emissions per employee | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
CO₂e emissions per employee - total (scope 1, 2 and 3) | Tonnes CO₂e | 2.29 | 2.45 | 3.01 | 3.10 | 1.97 | Total CO₂e emissions per FTE as of 31 December |
Scope 1 | Tonnes CO₂e | 0.61 | 0.55 | 0.59 | 0.63 | 0.69 | CO₂e emissions from scope 1 elements per FTE as of 31 December |
Scope 2 | Tonnes CO₂e | 0.85 | 0.86 | 0.99 | 1.04 | 0.55 | CO₂e emissions from scope 2 elements per FTE as of 31 December |
Scope 3 | Tonnes CO₂e | 0.82 | 1.04 | 1.43 | 1.44 | 0.73 | CO₂e emissions from scope 3 elements per FTE as of 31 December |
CO₂e emissions break down | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method: Emission factor references |
Natural gas | Tonnes CO₂e | 1.052 | 835 | 750 | - | - | |
Electricity | Tonnes CO₂e | 1.926 | 2.123 | 2.242 | - | - | |
Distric heating | Tonnes CO₂e | 96 | 98 | 81 | - | - | Dansk Fjernvarme, 2017; IEA, 2017 |
Company road travel in company cars | Tonnes CO₂e | 405 | 527 | 676 | - | - | BEIS, 2021 |
Company road transport in own cars | Tonnes CO₂e | 1.213 | 1.353 | 1.802 | - | - | BEIS, 2021 |
Air travel | Tonnes CO₂e | 40 | 227 | 582 | - | - | BEIS, 2021 |
Water comsumtion | Tonnes CO₂e | 3 | 11 | 16 | - | - | BEIS, 2021 |
Waste | Tonnes CO₂e | 49 | 5 | 3 | - | - | BEIS, 2021; Ecoinvent v.3.8. Note: A new calculation method was used in 2021, where a higher emission factor for incinerated waste was used. This emission factor is more accurate and will thus be used in future calculations. |
Fuel and energy related activities | Tonnes CO₂e | 687 | 952 | 985 | - | - | See references for fuel, electricity and district heating |
CO₂ emissions from investment activities: life insurance | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
CO₂ intensity | Tonnes/DDKm revenue | 18.3 | 20.7 | - | - | - | Internal calculation based on data from eksternal ESG partner. Calculations are a weighted average of CO2-emissions from equity investments including the following asset categories: Danish mortgage bonds, equity index futures, ETFs and properties. Other asset classes are not included due to low coverage and vague assumptions. Calculations may be subject to changes in the future if assumptions changes and/or if coverage changes. |
CO₂-footprint | Tonnes CO₂e/DKKm invested | 4.3 | - | - | - | - | Calculated in accordance with the "CO₂ model for the financial sector" prepared by Finans Danmark and Insurance & Pension Denmark (the Danish trade association for insurance companies). 89% of the investment assets are included in the calculation. |
CO₂-emission | Tonnes | 428.298 | - | - | - | - | Calculated in accordance with the "CO₂ model for the financial sector" prepared by Finans Danmark and Insurance & Pension Denmark (the Danish trade association for insurance companies). 89% of the investment assets are included in the calculation. |
CO₂ emissions from investment activities: non-life insurance | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
CO₂ intensity | Tonnes/DDKm revenue | 12.3 | - | - | - | - | Internal calculation based on data from eksternal ESG partner. Calculations are a weighted average of CO2-emissions from equity investments including the following asset categories: Danish mortgage bonds, equity index futures, ETFs and properties. Other asset classes are not included due to low coverage and vague assumptions. Calculations may be subject to changes in the future if assumptions changes and/or if coverage changes. |
CO₂-footprint | Tonnes CO₂e/DKKm invested | 1.5 | - | - | - | - | Calculated in accordance with the "CO₂ model for the financial sector" prepared by Finans Danmark and Insurance & Pension Denmark (the Danish trade association for insurance companies). 90% of the investment assets are included in the calculation. |
CO₂-emission | Tonnes | 22.101 | - | - | - | - | Calculated in accordance with the "CO₂ model for the financial sector" prepared by Finans Danmark and Insurance & Pension Denmark (the Danish trade association for insurance companies). 90% of the investment assets are included in the calculation. |
Energy consumption
5. Environment - Energy comsumption | |||||||
Energy consumption | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Use of company car - petrol | 1,000 litres of petrol | 7.6 | 14 | 32 | 35 | 32 | Data are obtained from leasing supplier, which reports on fuel consumption (diesel, Octan 95 and Octan 98). Data are calculated from Q4 in the preceding year and Q1 to Q3 in the year in review. Data also include private driving as there is no distinction between driving for personal and business purposes, respectively. |
Avarage use per unit | 1,000 litres of petrol | 1.3 | 1.2 | - | - | - | Use of comapany car (thousand litres)/number of cars |
Use of company car - diesel | 1,000 litres of diesel | 154 | 194 | 214 | 228 | 244 | Data are obtained from leasing supplier, which reports on fuel consumption (diesel, Octan 95 and Octan 98). Data are calculated from Q4 in the preceding year and Q1 to Q3 in the year in review. Data also include private driving as there is no distinction between driving for personal and business purposes, respectively. |
Avarage use per unit | 1,000 litres of diesel | 2.0 | 1.6 | - | - | - | Use of comapny car (tusind litres)/number of cars |
Use of non-company (private) cars for business purposes | Million kilometres | 5.52 | 6.34 | 7.7 | 8.4 | 9.1 | The figure is calculated from mileage allowance paid to the employee. Based on mileage allowance, the number of kilometres driven is calculated based on the government rates for mileage allowance. |
Heating - district heating | MWh | 1.178 | 1.205 | 1.102 | 458 | 468 | Report from utility company on annual consumption. As from 2019, it includes all locations in which an FTE-based average of both Ballerup (head office) and Viby (second largest office) has been used to calculate consumption at other locations. |
Consumption of natural gas | 1000 m³ | 520,263 | 412,862 | 366.455 | 378,000 | 392,000 | Report from utility company on annual consumption. Data only cover |
Consumption of natural gas | MWh | 5.255 | 4.169 | 3.701 | 3.818 | 3.959 | Consumption of natural gas converted from m³ to kWh by multiplying with 10.1. |
Own electricity production | MWh | 1.437 | 1.517 | 1.478 | 1.531 | 1.094 | Electricity production from solar cells at |
Electricity purchased | MWh | 4.475 | 4.328 | 4.404 | 4.295 | 4.347 | Report from utility company on annual consumption. As from 2019, it includes all locations in which an FTE-based average of both Ballerup and Viby has been used to convert consumption at other locations. |
Energy consumption - total | MWh | 5.912 | 5.844 | 5.882 | 5.826 | 5.441 | Electricity purchased and own electricity production. |
Energy consumption - total | GJ | 50.274 | 47.741 | 47.198 | 48.687 | 43.294 | Energy consumption = sum (used fuel type (t) * energy factor per fuel type) for each fuel type + (used) electricity (incl. sustainable energy)(MWh) * 3.6) + (used district heating incl. sustainable sources (GJ)). |
Renewable engergy | GJ | 5,170 | 5.461 | 5,320 | 5.512 | 3.935 | The amount of energy from |
Renewable energy percentage | % | 10.3 | 11.4 | 11.3 | 11.3 | 9.1 | The share of renewable energy produced compared with the total energy consumption. |
Air and road travel
6. Environment - Air and road travel | |||||||
Air travel | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
<463 km flight one-way | pKm | 672 | 6.636 | 15.845 | - | - | Data collected internal and from external operator. |
463-3700 km flight one-way | pKm | 41.366 | 270.669 | 917.89 | - | - | Data collected internal and from external operator. |
>3700 km flight one-way | pKm | 67.559 | 1,021,459 | 2,235,317 | - | - | Data collected internal and from external operator. |
Road travel | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Road travel in private car (all fuel types) | mio. km | 5.52 | 6.34 | 7.7 | 8.4 | 9.1 | Combined number of kilometres for all cars. This number is calculated based on the amount repaied per milage. The amount per mile is set by the government. |
Low-emission cars | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Company cars - hybrid | No. | 3 | - | - | - | - | Cars leased by |
Company cars - electric | No. | 0 | 1 | - | - | - | Cars leased by |
Low-emissions cars in all | No. | 3 | - | - | - | - | Cars leased by |
Percentages of all company cars | % | 2.8 | - | - | - | - | N/A |
Waste, water, paper and plastic
7. Environment - Waste, water, paper and plastic | |||||||
Waste, water, paper and plastic | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Percentage waste recycled | % | 33.3 | 48.2 | 43.8 | 51.1 | 40.1 | Reports from suppliers. Up to and including 2018, only consumption at the head office was included. As from 2019, all locations are included by a calculation using an FTE-based average from the head office and another office's consumption |
Total waste | Tonnes | 144 | 243 | 342 | 382 | 257 | Reports from suppliers. Data are from the period of December last year to the end of November in the year in review. Up to and including 2018, only consumption at the head office was included. As from 2019, all locations are included through a calculation using an FTE-based average from the head office and another office's consumption. |
Hazardous waste - Head office | % | 0.2 | 0.1 | 0.1 | 0.1 | 0.1 | Report from supplier. Up to and including 2018, only consumption at the head office was included. As from 2019, all locations are included through a calculation using an FTE-based average from the head office and another location's consumption. |
Water consumption | m³ | 7.262 | 10.651 | 15.235 | 14.088 | 11.884 | Report from supplier. Up to and including 2018, only consumption at the head office was included. As from 2019, all locations are included through a calculation using an FTE-based average from the head office and another location's consumption. |
Paper consumption | Tonnes | 12.7 | 14.5 | 26.5 | 31.8 | 37.5 | Internal calculation of paper and paper articles purchased in the financial year in review. |
Consumption of plastic disposables | No. of units | 75.188 | 395.161 | 519.565 | 815.819 | - | Internal calculation based on purchase of plastic disposables for all locations and the staff canteen at the head office. This includes: cups, glasses, buckets, cutlery, plates, disposable gloves, bags and plastic bags of various kinds. |
Reuse and repair
8. Environment - Reuse and repair | |||||||
Reuse and repair | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Secondhand parts purchased for car repairs | % | 2.0 | 1.9 | 1.8 | 1.7 | 2.0 | Internal calculation based on the number of purchased parts for repair of private and commercial vehicles - compared with the number of new parts. |
Written-off cars sold for reconstruction | % | 14.8 | 13.7 | 14.0 | 13.6 | 14.5 | Internal calculation based on the number of written-off private and commercial vehicles sold for reconstruction in comparison to the total number of written-off vehicles. |
Percentage of car windows repaired | % | 40.9 | 41.3 | 41.7 | 38.3 | 38.0 | Internal calculation of the percentage of car window repair in relation to the total number of damaged car windows. These are exclusively car windows which are covered by |
Percentage of car bumpers repaired | % | 28 | - | - | - | - | Internal calculation of repairs on car bumpers (as opposed to throw away and replacing with a new product). |
Percentage of telephones, computers and tablets repaired | % | 72.0 | 69.0 | 70.0 | 66.2 | 56.7 | Internal calculation of the percentage of repair of telephones, computers and tablets compared with the total number of damaged items. |
Bicycles donated for reuse | No. of units | 133 | 56 | 110 | - | - | Internal registration of bicycles donated |
IT equipment sold for repair/scrap | Kg | 2.227 | 4.075 | 2.747 | 10.911 | - | Internal calculation of IT equipment sold |
Employees
Human Capital
10. Social - Human Capital | |||||||
Human Capital | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Employee turnover | Number | 399 | 269 | 329 | 342 | 378 | The amount of employees who left the company voluntarily, were discharged, retired or left the company for another reason. The number also includes terminated temps, but not hourly-paid employees. |
Employee turnover | % | 16.1 | 11.1 | 13.9 | 14.0 | 14.3 | The percentage of employees who left the company voluntarily, were discharged, retired or left the company for another reason. The number also includes terminated temps, but not hourly-paid employees. |
Employee turnover - involuntary | % | 5.8 | 4.7 | 6.2 | - | - | The percentage of employees who involuntarily left |
Employee turnover - male | % | 17.4 | - | - | - | - | The percentage of male employees who left the company voluntarily, were discharged, retired or left the company for another reason. The number also includes terminated temps, but not hourly-paid employees. Note, this data is new, and as of 2021 will be reported anually in the ESG Fact Book. |
Employee turnover - female | % | 14.5 | - | - | - | - | The percentage of female employees who left the company voluntarily, were discharged, retired or left the company for another reason. The number also includes terminated temps, but not hourly-paid employees. Note, this data is new, and as of 2021 will be reported anually in the ESG Fact Book. |
Employee turnover in the finance industry | % | 15.45 | 14.40 | 12.4 | 13.3 | 12.0 | Data are obtained from a statement by Finansforbundet (Financial Services Union Denmark) on staff turnover within the industry. |
Average salary to FTEs | EUR | 85.031 | 79.551 | 76.705 | 74.284 | 72.732 | N/A |
Average salary to FTEs | DKK | 637.733 | 596.635 | 575.292 | - | - | N/A |
Employment costs | DKKm | 2.211 | 2.195 | 2.029 | 1.999 | 2.004 | Accounting policies applied are stated in the financial statements for |
Training | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | |
E-learning course on anti-money laundering and finacing terrorism | No. of people | 524 | 125 | 543 | 62 | - | Internal registration in HR system. Courses are mandatory for all life-insurance employees, as well as other relevant employees in other departments. |
E-learning course on GDPR | No. of people | 1.151 | 473 | 280 | 196 | - | Internal registration in HR system. Courses are mandatory for all employees every second year, and during onboarding for new employees. |
E-learning on IT- and information security | No. of people | 2.611 | 1.664 | 356 | 2.204 | - | Internal registration in HR system. Courses are mandatory for all employees every second year, and during onboarding for new employees. |
Managers who have taken a course on "Basic Management" | No. of people | 51 | - | - | - | - | Internal registration of managers who have taken a course in basic management, based on FTE. |
Employees who have take a course on "Basic Task Managment" | No. of people | 0 | - | - | - | - | Internal registration of employees who have taken a course in Basic Task Management, based on FTE. Note the course was not open in 2021. |
Training for management level | Hours spent | 2,310 | - | - | - | - | Internal registration based on FTE |
Training for other employees | Hours spent | 37.668 | - | - | - | - | Internal registration based on FTE |
Competence development of employees - total amount | DKKm | 19.4 | 24.7 | 33.0 | 27.0 | 28.5 | Internal report on expenses for external courses and training including transport. Expenses for working hours are not included. |
Competence development of employees - per employee | DKK | 8.166 | 10,070 | 14,020 | 11.704 | - | Internal calculation of total sum of expenses for employee competence development divided by number of FTEs. |
Health and well-being
11. Social - Health and well-being | |||||||
Health and well-being | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Job satisfaction survey | Points | 79 | 78 | 76 | - | - | Based on the replies to two questionnaires, the replies are converted to index numbers on a scale of 0 to 100. As of 2021 the survey is conducted 2 times per year. The number here is the result from the first round which is the first six months of the year. |
Participation in job satisfaction survey | % | 89 | 87 | 86 | - | - | Percentage of |
Absence due to illness | % | 2.6 | 2.4 | 2.7 | 3.0 | 3.0 | The percentage is calculated based on the number of sick hours compared to the number of standard hours. Hourly-paid employees are not included. |
Absence due to illness in the finance industry | % | Na | 2.6 | 3.1 | 3.1 | 2.9 | Data are obtained from a statement by Finansforbundet (Financial Services Union Denmark) of absence due to illness within the industry. Data is for 2020, as data for 2021 had not been published at the end of the ESG Fact Book 2021. |
Absence due to illness | Days/FTE | 6.8 | 6.0 | 6.7 | - | - | The total number of days ill for all FTEs in the period divided by the number of total FTEs. Maternity leave is excluded. |
Work-related accidents | No. | 1 | 2 | 2 | 2 | 2 | The number covers work-related accidents that were settled during the financial year. |
Cases of discrimination | No. | 0 | 0 | 0 | 0 | 0 | Cases of discrimination' including cases in which, on the basis of |
Deaths | No. | 0 | 0 | 0 | 0 | 0 | Deaths caused by work-related accidents. |
Gender diversity
12. Social - Gender diversity | |||||||
Gender diversity | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Female employees on full-time (FTE) | No. of people | 997 | 1.027 | 1.021 | 1.005 | 900 | N/A |
Female employees on full-time (FTE) | % | 42.0 | 41.9 | 43.3 | 44.0 | 45.0 | Percentage of female employees compared with male employees as of 31st December. |
Female managers - all levels | % | 40.5 | 41.3 | 40.9 | 40.0 | 42.0 | Internal calculation of the percentage of female managers at all levels i.e. level 1, 2, 3 and 4 |
Female managers - level 1 | % | 33 | 0 | 0 | 0 | 25 | Level 1: Group Executive Management consisting of four members of the Executive Board and five additional Directors (C-level). |
Female managers - level 2 | % | 11 | 25 | 25 | 23 | 19 | Level 2: Directors who report to Group Executive Management. |
Female managers - level 3 | % | 41 | 34 | 37 | 38 | 33 | Level 3: Managers managing other managers, but not included in level 2. |
Female managers - level 4 | % | 43 | 48 | 45 | 44 | 48 | Level 4: All other managers, who manage employees, but not other managers. |
Gender distribution in succession planning | % women | 47 | 29 | 54 | - | - | Internal calculation |
Paternity leave | % | 57.5 | - | - | - | - | The percentage of men on paternity leave in relation to the total number of employees on parental leave. Internal calculation. |
Maternity leave | % | 42.5 | - | - | - | - | The percentage of women on maternity leave in relation to the total number of employees on parental leave. Internal calculation. |
General customer data
13. Social - General customer data | |||||||
General customer data | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Shared customers between |
No. | 65.896 | 64.384 | - | - | - | Internal report on customers that are insured at both |
Claims reported digitally | % | 57.1 | 59.0 | 63.8 | - | - | Internal report on the percentage of claims that are reported digitally compared with claims that are otherwise reported e.g. by telephone. |
Transactional Net Promoter Score | Points | 56.4 | 55.4 | _ | _ | _ | A percentage of customers were contacted after having either a telephone call with |
Score on |
Points | 4.2 | 4.4 | 4.4 | 8.6 | 8.8 | Score as of 31st December is included in the financial year. Note, in 2019, |
Customers in non-life insurance
14. Social - Customers in |
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Customers in |
Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Market share | % | 15.7 | 16.3 | 16.2 | 16.6 | 16.8 | Calculated by the trade association Insurance & Pension Denmark on the basis of data from all non-life insurance companies. Data dates back 6-12 months in relation to current financial year. |
EPSI rating for private customers | Points | 74.6 | 73.7 | 75.3 | 77.5 | 76.8 | Customer satisfaction survey in the insurance industry conducted by the analysis research company EPSI. Conducted through telephone interviews in September and October each year and including only private customers. Data are obtained from report from EPSI. |
EPSI rating for commercial customers | Points | 70.8 | 70.3 | 69.1 | - | 73.5 | Customer satisfaction survey in the insurance industry conducted by the analysis research company EPSI. Conducted through telephone interviews in September and October each year and including only commercial customers. Data are obtained from report from EPSI. |
Number of rulings at The Insurance Complaints Board | No. | 111 | 127 | 117 | 129 | 131 | Closed cases of non-life insurance claims brought before The Insurance Complaints Board. |
Percentage of favourable rulings at The Insurance Complaints Board | % | 86 | 86 | 85 | 78 | 77 | The percentage of complaints in which |
Decisions by The Insurance Complaints Board which |
No. | 0 | 1 | 1 | 0 | 0 | N/A |
Customers in life insurance
15. Social - Customers in |
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Customers in |
Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Returns to life insurance customers | % | 18.5 | 8.2 | 21.5 | -6.6 | 11.0 | Yearly returns to customers with Profile Pension with 30 years till retirement (risk level: medium). Data accessible online at www.topdanmark.dk. |
Market share | % | 9.6 | 10.9 | 10.0 | 8.8 | 9.0 | Market share of commercial life insurance companies based on data from 2020. Internal calculation based on the annual reports of competitors and |
Aalund rating | Place | 3rd place | 3rd place | 1st place | 1st place | 1st place | Data from Aalund, which measures customer satisfaction and loyalty in the pension industry, including |
Number of rulings at The Insurance Complaints Board | No. | 15 | 12 | 8 | 21 | 11 | Closed cases on life insurance brought before The Insurance Complaints Board. |
Percentage of favourable rulings at The Insurance Complaints Board | % | 67 | 83 | 100 | 100 | 82 | The percentage of complaints in which |
Decisions by The Insurance Complaints Board, which |
No. | 3 | 0 | 0 | 0 | 0 | N/A |
Insurance and services
16. Social - Products and services | |||||||
People in products and services | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
People who have been helped and compensated for both personal injury and property claims. | No. of people | 299.514 | 321.665 | 315.819 | 314.484 | 376,400 | Data cover all completed claims incl. personal injury, weather-related claims and roadside assistance. |
People who have been helped and compensated for personal injury. | No. of people | 36.156 | 41.613 | 29.344 | 32.366 | 29.344 | Data cover completed personal injury claims and includes both |
Advice on prevention for agricultural customers | No. | 75 | 70 | 95 | 78 | 97 | Internal calculation |
Views of 'good advice' on www.topdanmark.dk | No. | 106.284 | 109.168 | 122,350 | 92.035 | 59.293 | Number of pageviews of good advice and prevention pages (from |
Private people who have downloaded the health app | Number | Na | Na | Na | Na | Data from external supplier | |
Coporate costumers who have downloaded the health app | Number | Na | Na | Na | Na | Data from external supplier | |
Board of Directors
17. Governance - Board of Directors | |||||||
Board of Directors | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Board members | No. | 9 | 9 | 9 | 9 | 9 | As declared in |
Board members - foreigners | % | 33 | 33 | 33 | 33 | 33 | N/A |
Board members - independent | % | 50 | 50 | 33 | 22 | 22 | As declared in |
Average number of years on the Board of Directors | No. | 3 | 3 | 2 | - | - | The total number of years for all Board members divided by the number of members |
Participation in Board Meetings | % | 98.9 | 98.9 | 91.6 | - | - | Total sum of meetings attended for each board member devided by number of meetings in total for each memeber times 100. |
Women on the board elected by the annual general meeting | No. | 2 | 2 | 2 | 2 | 2 | N/A |
Women on the board elected by the employees | No. | 2 | 2 | 2 | 2 | 3 | N/A |
Women on the board - total | No. | 4 | 4 | 4 | 4 | 5 | Both AGM elected and elected by the employees |
Women on the board | % | 44 | 44 | 44 | 44 | 56 | N/A |
Board meetings per year | No. | 8 | 8 | 8 | 8 | 8 | N/A |
Audit meetings per year | No. | 5 | 5 | 5 | 5 | 5 | N/A |
Executive Management
18. Governance - Executive Management | |||||||
Executive management | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
Executive Management | No. | 4 | 4 | 4 | 4 | 4 | Level one: Excecutive management. Note the resignation of one member by |
Foreigners | % | 0 | 0 | 0 | 0 | 0 | N/A |
Group Executive Management | No. | 9 | - | - | - | - | Level one management, with reference to CEO. New definition of levels within group executive management in 2021. |
Divisional and service function directors | No. | 10 | 20 | 20 | 18 | - | Level 2: Divisional and service function directors who report to a C-level director. |
Remuneration
19. Governance - Remuneration | |||||||
Renumeration | Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method |
CEO | DKKm | 11.3 | 8.0 | 7.9 | 6.8 | 19.5 | As stated in |
Wage gap between CEO and employee | 17.7 | 13.5 | 13.8 | - | - | CEO remuneration divided by the median employee salary. Median is used to compensate for extremes. | |
Other members of the Executive Board | DKKm | 21.9 | 19.6 | 18.9 | 20.5 | 16.9 | As stated in |
Board of Directors | DKKm | 6.5 | 5.9 | 5.8 | 5.8 | 5.1 | As stated in |
Total | DKKm | 39.7 | 33.5 | 32.6 | 33.1 | 41.5 | Calculated by the sum of remuneration above: CEO, other members of the Executive Board and Board of Directors |
Audit fees | DKKm | 6 | 5 | 5 | 3 | 15 | N/A |
Of which is non-audit services | DKKm | 2 | 1 | 0 | 0 | 11 | N/A |
EU Taxonomy
21. Governance - EU Taxonomy | |||||||
Unit | 2021 | 2020 | 2019 | 2018 | 2017 | Data calculation method | |
Non-life producs covered by EU Taxonomy (Eligibility) | % | 92.4 | - | - | - | - | See Topdanmark Sustainability Report 2021 |
Investements covered by EU Taxonomy (Eligibility). Including goverment bonds. | % | 8.7 | - | - | - | - | See Topdanmark Sustainability Report 2021 |
Investements covered by EU Taxonomy (Eligibility). Excluding goverment bonds. | % | 8.7 | - | - | - | - | See Topdanmark Sustainability Report 2021 |
Policies
22. Governance - Policies | ||
Policies overview | Public/non-public | Notes an references |
Anti-Corruption Policy (gifts and entertainment) | Non-public | |
Climate and Environmental Policy | Public | |
Data Protection Policy | Non-public | |
Disclosure Policy | Non-public | |
Diversity Policy - Board of Directors | Public | |
Diversity Policy - Executive Functions in |
Public | |
Engagement Policy (active ownership) | Public | |
Ethical Principles for Artificial Intelligence | Public | |
HR Policies | Non-public | |
Information Security Policy | Non-public, but summary is public | https://www.topdanmark.com/en/sustainability/business-management/it-security/ |
Loss Prevention and Loss Limitation Policy | Public | |
Operational Risk, Compliance and Internal Control Policy | Non-public | |
Policy for Human Rights | Public | |
Procedures to Prevent Money Laundering and Terrorist Financing | Non-public, but summary is public | https://www.topdanmark.com/en/sustainability/business-management/anti-corruption-and-money-laundering/ |
Remuneration Policy | Public | https://www.topdanmark.com/en/about-topdanmark/corporate-governance/remuneration-structure/ |
Responsible Investment Policy | Public | |
Risk Management Policy | Non-public | |
Sustainability Policy | Public | |
All other public policies can be found here. | ||
https://topdanmark.com/en/csr/csr-in-topdanmark/policies/https://www.topdanmark.com/en/sustainability/business-management/it-security/https://www.topdanmark.com/en/about-topdanmark/corporate-governance/remuneration-structure/https://www.topdanmark.com/en/sustainability/business-management/anti-corruption-and-money-laundering/
ESG Ratings
23. Governance - ESG Ratings | ||||||
Rating | Scale | 2021 | 2020 | 2019 | 2018 | 2017 |
CCC to |
- | BBB | BBB | BBB | BB | |
D- to A | C | C | C- | C- | C- | |
D- to A | B- | B- | B- | - | - | |
ISS ESG Corporate Rating | D- to A+ | - | C Prime | C- | C- | C- |
Sustainalitics ESG Risk Rating | Negl. to severe risk | - | Medium | Medium | Medium | - |
Attachments
Disclaimer
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