Gender-based Analysis Plus: Optimizing data disaggregation and analysis
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.
| Percent | |
|---|---|
| Total | 15.5 |
| Men | 15.8 |
| Women | 15.2 |
| Non-immigrants | |
| Men | 11.7 |
| Women | 9.8 |
| Immigrants | |
| 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 |
| Source: Statistics Canada, Census of Population, 2021. | |
Data that have been disaggregated using GBA Plus can guide the development of more inclusive government policies and initiatives.
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