Data and statistics disaggregated by sex are an essential requirement in assessing the effects of decisions and measures from the gender perspective. They help to:
- obtain information about the real situation of women and men
- see beyond averages and preconceptions
- observe both differences and similarities.
Averages, or data representing the entire population, do not always reveal the whole truth. The unchanging averages in time series data, for example, may conceal results of different directions of development in the situations of women and men. Without sex-disaggregated statistics and monitoring data it is impossible to see how measures and decisions affect women and men.
Statistics that are beneficial in investigating the gender perspective during preparatory work are:
- statistics that represent the gender equality situation (e.g. wage comparisons)
- gender-divided statistics relating to people (e.g. data on working life or health).