Gender-based Analysis Plus: Optimizing data disaggregation and analysis

Release date: November 27, 2023

Gender-based Analysis Plus (GBA PlusNote ) aims to assess systemic inequalities and identify the groups most likely to be disadvantaged by situations such as unemployment or overqualification.

GBA Plus draws on quantitative and qualitative studies and on consultations with stakeholders and various groups to identify gaps in studies and data and to produce relevant intersectional analyses.

In addition to gender, GBA Plus considers…

  • social, economic and cultural contextual factors as well as systemic and structural inequalities, racism, ableism and other types of discrimination that could increase the risk of being disadvantaged.
  • identity factors of the population in question, such as age, immigrant status and ethnic origin.

GBA Plus optimizes data disaggregation, cross-tabulation and analysis and helps to identify the groups most affected by various issues.

Let’s take the example of overqualification. If we only consider gender, there are few differences between men and women.

However, taking identity factors such as immigrant status and racializedNote group into account produces a more accurate portrait of overqualification in Canada.

In this fact sheet, holders of a bachelor's degree or higher aged 25 to 64 are considered overqualified if they had a job requiring at most a high school diploma in Canada in 2021.

Table 1
Overqualification rate
Table summary
This table displays the results of Overqualification rate Percent (appearing as column headers).
Total 15.5 
Men 15.8
Women 15.2
Men 11.7
Women 9.8
Men 18.9
Women 22.3
Non-racializedNote 2 immigrants with a location of study in a non-Western countryNote 3
Men 15.6
Women 21.3
Filipino immigrantsNote 4 with a location of study in a non-WesternNote 3 country
Men 44.9
Women 40.2

Data that have been disaggregated using GBA Plus can guide the development of more inclusive government policies and initiatives.

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