Gender equity themes
Our statistical indicators are organized into different themes. Choose 1 from the list below to start exploring.
- Diverse territory
- Economic equality and employment
- Education and field of study
- Child care and parenting
- Violence and safety
- Health, wellness and physical activity
- Leadership and activism
We collect this data to help work towards gender equity in the Yukon. People developing policies and programs can use data to base their decision-making on evidence.
We recognize that gender equity is important for all Yukoners, including:
- transgender;
- Two-Spirit;
- non-binary identifying people; and
- other genders.
Gender and sex
Gender refers to a person's social identity, such as man, woman, non-binary or Two-Spirit. Gender is socially constructed. It influences people's roles, behaviours, expressions and identities.
Sex is a person's biological characteristics, such as male, female or intersex. Sex determines a person's:
- genetics;
- reproductive organs;
- body shape and composition;
- percentages of fat, bone, water and muscle in the body; and
- secondary sex characteristics like growth of body hair.
What is gender equity?
Gender equity means treating all people fairly according to their respective needs. This may include different treatment for different genders. Making things fair involves respecting people’s needs and adjusting for systemic discrimination.
Understanding statistics
We count and track social change with statistics. A statistic is a quantitative measure. This means it uses numbers to present information.
In contrast, qualitative data is based on opinions and experiences. Examples include interviews.
No single measure is a definitive indicator of gender equity.
When we measure the same statistics over time, they become indicators. Statistical indicators allow us to measure and compare data. This can show how public policy can address change.
Limitations
In the Yukon, our small population can make it hard to draw conclusions based on statistics. It's also hard to show data for different communities or identity groups.
Although we recognize that gender is a spectrum, most data shown here is broken down only by men or women. Data for other genders is either not available or too small to reflect.