Formula
metrics = [M1, M2, M3, M4, M5, M6, M7, M8, M9, M10, M11, M12, M13, M14, M15, M16, M17, M18, M19] researched = metrics.filter (val) -> (val != "NR") numKnown(researched) / researched.length * 100
Global Reporting Initiative
M1
CEO Gender
Research lock_open
![Alice NEOMA+Image](https://wikirate-production-storage.fra1.cdn.digitaloceanspaces.com/files/13241561/33835853-icon.png)
Alice NEOMA
M2
Global Reporting Initiative
M3
Female injury rate (G4-LA6-a)
Research lock_open
Global Reporting Initiative
M4
![Richard Mills+Image](https://wikirate-production-storage.fra1.cdn.digitaloceanspaces.com/files/21118/41729785-icon.png)
Richard Mills
M5
Male injury rate (G4-LA6-a)
Research lock_open
Global Reporting Initiative
M6
Gender Equality Targets
Research lock_open
![Gender Data Research+Image](https://wikirate-production-storage.fra1.cdn.digitaloceanspaces.com/files/6963695/24312427-icon.jpg)
Gender Data Research
M8
![Richard Mills+Image](https://wikirate-production-storage.fra1.cdn.digitaloceanspaces.com/files/21118/41729785-icon.png)
Richard Mills
M9
Global Reporting Initiative
M10
Global Reporting Initiative
M11
Global Reporting Initiative
M12
Women in Management Positions
Research lock_open
![Poverty Footprint+Image](https://wikirate-production-storage.fra1.cdn.digitaloceanspaces.com/files/1828145/40185996-icon.png)
Poverty Footprint
M13
Global Reporting Initiative
M14
Global Reporting Initiative
M15
Global Reporting Initiative
M16
Global Reporting Initiative
M17
Global Reporting Initiative
M18
Global Reporting Initiative
M19
Topics
Years
2021
Value Type
Number
Unit
%
Range
0-100
Options
Researchable
no
Research Policy
Community Assessed