Sometimes calculated metrics reveal dodgy data in their input metrics. This project is intended to keep a list of such data. If anyone has time to spend on fixing this, it is usually easy to tell where the problem lies by expanding the answer.
Yearly change in environmental protection expenditure as % of revenue - anything over 100 is wrong
Environmental Protection (as % of revenue) - anything over 100 is definitely wrong, anything over 1 is probably wrong
Yearly change in GHG emissions per dollar revenue - anything over 100 is wrong, anyhing greater than 50 or less than -50 is almost certainly wrong
Yearly change in female workers/managers differential - it is highly unlikely that this figure would change by more than 5% in a year, so anthing >5% or < -5% would warrant a look at the underlying data.