Information on data collection
I. Data collection of the environmental indicators
a) Floor space
The ESG Report 2020 covers the period from 1 January 2018 to 31 December 2019. It looks at the development in a year-on-year comparison. Data was available for the following subareas of around 3 million square metres of total building space under management:
– 2018: 1,999,719.41 sqm
– 2019: 2,319,974.28 sqm
Hence, in 2019, we have recorded and taken into account consumption and emission data from around 16 % more space than in the previous year.
b) Meters
In total, data on 1,488 meters were available. After adjustment for meters without allocated consumptions (see section d), 927 meters remained. The waste volumes for the years 2018 and 2019 were available for 30 % of the total area managed.
c) Consumption and emission data
Consumption usage of water, district heating, and natural gas/oil is tracked on all areas covered by data as well as the volume of waste.
Any data gaps at a monthly level are systematically extrapolated. Electricity consumption trends are only available for common areas. Here too, data gaps are extrapolated for the missing months. The general electricity consumption of the buildings is not extrapolated to the total electricity consumption, as the results would not have been valid. Since the inclusion of data for the entire building and common areas results in inaccurate environmental indicators, these are adjusted on an ongoing basis (see section e).
d) Extrapolation of environmental indicators
The missing monthly data is determined by the following exclusion and approximation procedure:
1. Exclusion of meters without allocated consumptions: meters that do not show monthly quantities between January 2018 and December 2019 are excluded from the extrapolation.
2. Exclusion of meters with monthly data availability of fewer than six months within the 24 months: Meters showing consumption volumes of less than six months are excluded.
3. Excluding meters with a standard deviation of more than 20 % per month within the two years: In the first step, we determined the percentage monthly developments of the consumption quantities from January 2018 to December 2019 for each meter. In the next step, we calculated the standard deviation of all determined consumption quantities per month for each meter. Finally, we excluded all meters whose consumption development exceeds the standard deviation of 20 % in at least one of the months.
4. Non-existent monthly data approximated by random numbers within a tolerance range based on the standard deviation around the present 24-month maximum value per meter: In the first step, we determined the maximum value per meter from the 24 existing monthly consumption quantities. We then
replaced all missing monthly data for each meter with this maximum value. Finally, we added a value to each of these monthly values. This value is calculated as follows: (random number between negative standard deviation in %, 0 % and positive standard deviation %) * 24-month maximum value.
Example calculation for a meter:
24-month maximum value = 1,000 kWh
Standard deviation of all monthly developments from January 2018 to December 2019 = 10 %
Approximated monthly value minimum = 1,000 kWh + (-0.1 * 1,000 kWh) = 900 kWh
Approximated monthly value maximum = 1,000 kWh + (+0.1 * 1,000 kWh) = 1,100 kWh
e) Ongoing adjustment of the bases of calculation
The consumption and emission values per square meter that we publish in the ESG Report 2020 refer to the total building areas of the properties covered by our data management. Accordingly, the rented areas are also considered, although the electricity consumption figures for these are not yet available. The cumulative consumption and emission figures for 2018 serve as the basis for calculating the environmental targets up to the end of 2025, which we have published in the ESG Report 2019.
In the future, we aim to continuously record, analyse and optimise all consumption data of the managed portfolio. As part of the digitisation of the building stock, we will also take into account the electricity consumption of the rented space. This will increase the consumption and emission data of the space. To consistently determine the environmental indicators and the exact status on the way to our target values, we will take this increase into account retroactively to the relevant starting point of our period analysis in January 2018.
II. Explanation of the environmental indicators
1. Reduce CO2 emissions per square metre by 2 % annually and by at least 20 % by 2025
Calculation of CO2 emissions
CO2 emissions are calculated in two steps. First, the total energy consumption at the building level is determined. Missing monthly values are approximated. In the second step, the energy consumption of the buildings is multiplied by the CO2 emission factors associated with the type of consumption.
Emission factors
Since the buildings whose consumption and emissions are determined are located in Germany, the emission factors [g/kWh] of the German Federal Environment Agency are applied:
Electricity: 401 [g/kWh]
https://www.umweltbundesamt.de/publikationen/entwicklung-der-spezifischen-kohlendioxid-6
Dabei handelt es sich um einen geschätzten Wert für 2019.
District heating: 214 [g/kWh] https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjk1tXPvITrAhVLmqQKHY7tA-8QFjAAegQIBBAB&url=https%3A%2F%2Fwww.umweltbundesamt.de%2Fsites%2Fdefault%2Ffiles%2Fmedien%2Fpublikation%2Flong%2F3476.pdf&usg=AOvVaw0sMFtTuiahaNbZKRRCthDo
Data basis for energy consumption and CO2 emissions
At the time of publication of the ESG Report 2020, not all accounting periods could be derived from the accounting system. For this reason, not all monthly consumption data was stored in the system for the existing consumption meters. We have been introducing new processes internally since 2020 to close these information gaps. In the meantime, monthly consumption gaps are systematically extrapolated.
CORESTATE has developed a strategy for the digitisation of buildings and has been implementing it since 2019. This will enable the data quality of the available energy consumption to be increased in the future and the total energy usage per building, including total rental space electricity, to be collected, analysed and optimised more efficiently.
2. Improve energy efficiency per square metre by 5 % per year and by at least 30 % by 2025
The energy demand of buildings consists of heating energy, general electricity and tenant electricity. For the period from 1 January 2018 to 31 December 2019, no information was available on the electricity consumption of tenant premises.
CORESTATE has developed a strategy for the digitisation of buildings and has been implementing it since 2019. This will enable the data quality of the available energy consumption to be increased in the future and the total energy usage per building, including total rental space electricity, to be collected, analysed and optimised more efficiently.
At the time of publication of the ESG Report 2020, not all accounting periods could be derived from the accounting systems. For this reason, not all monthly consumption data was stored in the system for the existing consumption meters. We have been introducing new processes internally since 2020 to close these information gaps. In the meantime, monthly consumption gaps are systematically extrapolated. In order to correctly reflect the actual status on the way to our targets, the calculation bases for the annual achievement of targets for CO2 emissions and electricity consumption are updated and adjusted accordingly.
3. Reduce water consumption per square metre by 2 % annually and by at least 20 % by 2025
Data on water consumption for the period from 1 January 2018 to 31 December 2019 was partly available.
At the time of the publication of the ESG Report 2020, however, not all accounting periods could be derived from the accounting systems. For this reason, not all monthly consumption data was stored in the system for the existing consumption meters. We have been introducing new processes internally since 2020 to close these information gaps. In the meantime, monthly consumption gaps are systematically extrapolated.
4. Reduce non-recycled or reused residual waste by 2 % per square metre per year and by at least 20 % by 2025
The volume of residual waste is to be reduced. To this end, we have reduced locally accepted waste separation systems for each postcode to two areas: recyclable waste in the paper, plastic and compost categories and non-recyclable waste, i.e. residual waste.
At the time of publication of the ESG Report 2020, not all accounting periods could be derived from the accounting systems. For this reason, not all monthly waste data was stored in the system for the buildings in question. We have been introducing new processes internally since 2020 to close these information gaps. In the meantime, monthly consumption gaps are systematically extrapolated.
III. Explanation of the social indicators
1. Increase the quota of female managers by 5 % annually and by at least 30 % by 2025
MMembers of the first and second management levels are considered to be managers. The following table illustrates the development of the proportion of women at the respective levels from December 2018 to December 2019.
| Career level | Percentage of women on 31.12.2018 | Percentage of women on 04.07.2019 | Percentage of women on 31.12.2019 |
| Board of Directors | 0 % | 0 % | 0 % |
| 1. Management level (Managing Directors and SLT members) | 5 % | 10 % | 4 % |
| 2. Management level (Department Leader and ALT members) | 35 % | 42 % | 36 % |
| 1st + 2nd level of management (Department Leader and above) | 27.5 % | 25.7 % | 27.4 % |
| 3. Management level (team leader) | 64 % | 60 % | 57 % |
| Workforce | 59 % | 55 % | 54 % |
At the end of 2019, 50 % of the members of the Management Board were under 50 years of age and 50 % over 50 years of age. The average age of the workforce was 42.15 years.
