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Gender (VLIR)

Explanation: This graph shows the gender distribution of staff at various Flemish universities over time. For a more nuanced view, this graph also provides the option to zoom in further on staff category by selecting a line.
How to use this graph? How to export the displayed data and/or graph?

Sources: The displayed data can be found in the VLIR personnel statistics reports since 2004.


 

Core theme: Gender (VLIR)

Time evolution of gender distribution among research staff.

Highlights

  • Overall: Gender balance among research staff is gradually becoming more equal.
  • There has been no significant change in the gender balance for pre-docs and post-docs between 2011 and 2021. In recent years, gender inequality has decreased again. On average, 49% of pre-docs and 43% of post-docs are women.
  • The administrative and technical staff is predominantly female (63%). There has been an average increase of 3% more women over the past 10 years.
  • There has been an average increase of 10% more female professors in the last 10 years. Gender inequality remains more pronounced with increasing academic seniority.

While sex is determined by biological characteristics (such as chromosomes, hormones, and sexual features), gender is defined by an individual’s personal experience. For example, a person may identify as male, female, gender-neutral, non-binary, transgender, and so on. In other words, the definition of gender is more nuanced and diversified. As the Young Academy, we recognize the existence of more than two genders and the importance of making them visible, including in statistics. Currently, we cannot implement this in practice within this tool due to limitations in our source data. In the current graphs, we therefore only show (M) and (F), as other options (X) were not registered in the source data for a long time. Those who wish to read more about the activities of the Young Academy around science and gender can find more information here.

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