Learn about gender equity in the Yukon

Gender equity themes

Our statistical indicators are organized into different themes. Choose 1 from the list below to start exploring.

We collect this data to help work towards gender equity in the Yukon. People developing policies and programs can use data to inform evidence-based decision-making.

We recognize that gender equity is important for all Yukoners, including:

  • transgender;
  • 2-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 2-spirit. Gender is socially constructed, and influences roles, behaviours, expressions and identities of people.

Sex is the 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. This is the practices or attitudes that have the effect of limiting an individual's or a group's right to opportunities.

A fair approach ensures all genders can benefit from the rights they have. In doing so, they can achieve their desires, needs and aspirations.

Understanding statistics

We count and track social change with statistics. These are a quantitative measure, which means using numbers to present information. Qualitative data—like interviews or stories—are based on opinions and experiences. 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.


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.