Example of Company part-stories in relation to Hard Data counters for Zieaz™ Sustainable Development Goals work:
https://sdg.lca.earth/?uuid=85666ecf-42fe-11ed-8a53-5254007e8f1e

Examples of data points of relevant Hard Data; in relation to a Global context:
https://www.simonmichaux.com/

The complete guide to understanding Scope 1, 2, and 3 emissions:
https://www.climatepartner.com/en/scope-1-2-3-complete-guide

Danmarks Statistik; Klima:
https://www.dst.dk/da/Statistik/temaer/klima

Data on this page are of mixed quality/precision; and can be classified as “Best guess” or approximate values. Using the "Rule of thumb" (practical and approximate way of doing or measuring something) of installing precision data collectors with 10% to 0.1% deviation for electronic meters/counters.
EXAMPLE:
The EN50470-1/-3 standard defines three specific accuracy classes: A, B and C. These are comparable to the IEC62053-21/-22 active energy metering standard: Class A is equivalent to 2% accuracy, Class B to 1 % and Class C to 0.5 %.
However; When data of one type is mixed with data of an other type, and with a lower precision and/or adding newly discovered/implemented data in the equation; the end USEFULL calculation result is never accurate - but are equally important, as these data is better than no data at all. Calculation of CO2e from electricity can never be precise when data from Scope 2 and 3 today (2023), is usually based on a “Best guess" if included at all. If an energy declaration for electricity only measures 5-10 chemicals in Scope 1 with relative high precision, and Scope 2 and 3 data are nonexistent; the “actual” total single chemical estimate can be many times different than the measured, when the calculated data form formulas/models of different sources/types are included later in the equation.
Therefore: Data on this page can not be used in any legal claim, or as a argument point for a promised statement in any other relation.