Skip to content

An open repository for data on the Irish gender pay gap, as reported by companies.

License

Notifications You must be signed in to change notification settings

zenbuffy/irishGenderPayGap

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

40 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Irish Gender Pay Gap Dataset

An open repository for data on the Irish gender pay gap, as reported by companies. As a result of the Gender Pay Gap Information Act, from 2022 companies with more than 250 employees we required to create and publish a report outlining their gender pay gap. While plans are in place to create a central portal (similar to that in the UK) to collate this information, such a database does not exist yet, and the government has no concrete release date available.

Dataset in use

You can view this dataset in a searchable, linked format (graphs and enhanced data coming soon) at https://paygap.ie/ - my aim is to keep these datasets in sync, so that all users can browse the data easily via a web interface, and anyone who wishes to code using the data has a readymade dataset available.

Adding to the datasets on github

  1. Check if the company exists in companies.csv
  2. Note the company ID and format of the name in the file.
  3. Submit a pull request adding your data into gpg.csv, making sure to increment the "id" field so you have a unique record

New Company Record

If the company doesn't exist in the companies.csv file, please include the new entry to companies.csv in your pull request.

Adding to the datasets via a web form

There is a web form to make new contributions to the dataset available at https://paygap.ie/newReport

Attribution

This project currently has a CC0 1.0 license. The person who associated a work with this deed has dedicated the work to the public domain by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.

Though not mandatory, I'd appreciate a shoutout if you use the data somewhere, and I'd love to see what you're doing with it!

Understanding the Structure of gpg.csv

The headings in the csv file are mostly self-explanatory, but to be extra clear, here's each heading along with a comment explaining what it is.

Header Position in Data Comment
id 1 A unique ID for each record
companyName 2 Company names are stored in the company table. Data is replicated here for legacy and readability purposes when the data is exported to CSV in github
companies_ID 3 An ID linking to the records in the companies table. Each company has a unique company ID
meanBonus 4 The difference between the mean bonus remuneration of employees of the male gender and that of employees of the female gender expressed as a percentage of the mean bonus remuneration of employees of the male gender
meanHourly 5 The difference between the mean hourly remuneration of employees of the male gender and that of employees of the female gender expressed as a percentage of the mean hourly remuneration of employees of the male gender
medianBonus 6 The difference between the median bonus remuneration of employees of the male gender and that of employees of the female gender expressed as a percentage of the median bonus remuneration of employees of the male gender
medianHourly 7 The difference between the median hourly remuneration of employees of the male gender and that of employees of the female gender expressed as a percentage of the median hourly remuneration of employees of the male gender
reportLink 8 The link to the relevant report
year 9 The year of the relevant report
meanHourlyPT 10 The difference between the mean hourly remuneration of part-time employees of the male gender and that of part-time employees of the female gender expressed as a percentage of the mean hourly remuneration of part-time employees of the male gender
medianHourlyPT 11 The difference between the median hourly remuneration of part-time employees of the male gender and that of part-time employees of the female gender expressed as a percentage of the median hourly remuneration of part-time employees of the male gender
meanHourlyTemp 12 The difference between the mean hourly remuneration of employees of the male gender on temporary contracts and that of employees of the female gender on such contracts expressed as a percentage of the mean hourly remuneration of employees of the male gender
medianHourlyTemp 13 The difference between the median hourly remuneration of employees of the male gender on temporary contracts and that of employees of the female gender on such contracts expressed as a percentage of the median hourly remuneration of employees of the male gender
perBonusFemale 14 The percentage of all employees of the female gender who were paid a bonus
perBonusMale 15 The percentage of all employees of the male gender who were paid a bonus
perBIKFemale 16 The percentage of all employees of the female gender who received benefits in kind
perBIKMale 17 The percentage of all employees of the male gender who received benefits in kind
pb1Female 18 The percentage of all employees who fall within the lower renumeration quartile who are of the female gender
pb1Male 19 The percentage of all employees who fall within the lower renumeration quartile who are of the male gender
pb2Female 20 The percentage of all employees who fall within the lower middle renumeration quartile who are of the female gender
pb2Male 21 The percentage of all employees who fall within the lower middle renumeration quartile who are of the male gender
pb3Female 22 The percentage of all employees who fall within the upper middle renumeration quartile who are of the female gender
pb3Male 23 The percentage of all employees who fall within the upper middle renumeration quartile who are of the male gender
pb4Female 24 The percentage of all employees who fall within the upper renumeration quartile who are of the female gender
pb4Male 25 The percentage of all employees who fall within the upper renumeration quartile who are of the male gender
perEmployeesFemale 26 The percentage of overall employees of the female gender
perEmployeesMale 27 The percentage of overall employees of the male gender

About

An open repository for data on the Irish gender pay gap, as reported by companies.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published