In 2023, Swiss Life Holding conducted an environmental assessment and disclosed corporate waste management data in accordance with recognized sustainability reporting standards. The company provided a breakdown of its waste by treatment method (recovery vs disposal), enabling greater transparency into its waste handling and environmental practices.
Metric (tonnes) | 2024 | 2023 | 2022 | 2021 - 2017 |
---|---|---|---|---|
Total Waste Generated | 0000000 | Copy restricted. Please purchase to unlock this data. | Copy restricted. Please purchase to unlock this data. | 0000000 |
Total Waste Recovered | 0000000 | Copy restricted. Please purchase to unlock this data. | Copy restricted. Please purchase to unlock this data. | 0000000 |
Total Hazardous Waste Generated | 0000000 | Copy restricted. Please purchase to unlock this data. | Copy restricted. Please purchase to unlock this data. | 0000000 |
Non-Hazardous Waste Disposed | 0000000 | Copy restricted. Please purchase to unlock this data. | Copy restricted. Please purchase to unlock this data. | 0000000 |
This table provides a simplified preview of selected waste data points. To access the complete dataset with full disclosures and structure, create a free account to purchase the full dataset.
In 2023, Swiss Life Holding generated a total of 703 metric tonnes of waste.
Of this amount, 50% of Swiss Life Holding's total waste generated was recovered through methods such as recycling, reuse, or composting, while 50% was disposed of through landfilling, incineration, or combustion.
In 2023, Swiss Life Holding reported a total waste generation of 703 metric tonnes, of which 50% was recovered through recycling, reuse, or composting. This moderate level of recovery indicates that Swiss Life Holding is taking steps toward improving its waste diversion practices, though there is still room to enhance recycling and recovery efforts.
Since 2021, Swiss Life Holding's total waste generation increased by 19.99%, including a 2.69% increase in 2023, indicating a persistent upward trend that may reflect scaling operations, inefficiencies in resource use, or a lack of effective waste minimization practices.