Navigating the Gender, Diversity and Inclusion Statistics Hub and Gender-related Data

This tutorial video is a tool to guide users in navigating the Gender, Diversity and Inclusion Statistics Hub and the Gender Results Framework dashboards on the Statistics Canada website.

Navigating the Gender, Diversity and Inclusion Statistics Hub and Gender-related Data - Video transcript

Introduction

Welcome! In this video, we'll explore the disaggregated data produced by Statistics Canada, as showcased in the Gender Results Framework dashboards. These dashboards offer detailed insights into gender-related trends across a range of topics.

Starting point—the Gender, Diversity and Inclusion Statistics Hub

First, go to statcan.gc.ca.

There are two ways to find the Gender, Diversity and Inclusion Statistics Hub. You can either open the "Subjects" menu and click "Gender, diversity and inclusion statistics," or type "Gender, Diversity and Inclusion Statistics Hub" into the search bar at the top right.

This hub is Statistics Canada's main platform for social statistics and analysis on gender, diversity and inclusion in Canada. It offers a wide range of data tables and publications, with a focus on disaggregated data that can be filtered by population groups, such as immigrants, persons with disabilities and women, enabling detailed exploration of the diverse experiences and outcomes of people living in Canada.

Navigating the Gender, Diversity and Inclusion Statistics Hub

Let's check out the hub. You'll notice five main sections, which are all listed in the menu bar for quick navigation.

Gender Results Framework: An overview page featuring dashboards that present the indicators from the Gender Results Framework. These dashboards were created using Statistics Canada data to provide high-quality, accessible insights on the indicators identified by the framework.
Explore the data: A library of social statistics products on Canada's diverse population.
What's new: A section with recently released products and highlights for events like Women's History Month and Black History Month.
Additional information: Extra frameworks and standards for social data analysis.
Related hubs and portals: Links to other data portals, like the Quality of Life Hub, the Accessibility Statistics Hub and the Dimensions of Poverty Hub.

Now, let's go to the Gender Results Framework. From the menu bar, select "Gender Results Framework." On this page, you'll see six tiles, each linking to an interactive dashboard that provides access to a range of gender-disaggregated indicators related to various socioeconomic outcomes. The Gender Results Framework is a Government of Canada tool that measures progress toward gender equality across six key areas, called pillars, such as education and skills development, and economic participation and prosperity.

The data in these dashboards comes from Statistics Canada and aligns with the indicators outlined in the six pillars of the Gender Results Framework. The only exception is the sixth dashboard, "Other Statistics Canada gender indicators." This dashboard includes gender-disaggregated indicators that are not part of the Gender Results Framework and draws on a wide range of data sources, rather than on the framework pillar "Gender equality around the world." For more information about the Gender Results Framework, including its development and objectives, please refer to the official resources linked within the hub.

Opening a dashboard

Let's open the Economic participation and prosperity dashboard.

This dashboard uses data from the Labour Force Survey, which provides information on wages, and the Canadian Income Survey, which includes income data based on tax records.

Here, you can see how labour force participation rates vary by gender and age group. For example, women aged 25 to 54 have a higher participation rate than women aged 55 and over.

These differences show more than just who is participating in the labour force. They highlight how age, gender and life stage can shape opportunities. For example, a lower participation rate among women aged 55 and over may be linked to a variety of reasons, such as retirement, disability or health issues, caregiving responsibilities, or challenges returning to the workforce after a prolonged absence. It's important to note that these statistics reflect work done for pay or profit only and do not capture unpaid care work, where women, especially migrant and racialized women, are often overrepresented. For more information on unpaid work and related gender indicators, please see the "Other Statistics Canada gender indicators" dashboard.

To better understand some of these factors, you can explore the "Related data" section at the bottom of the dashboard page. This section provides access to additional data tables and information that help understand the broader context.

Spotting these differences within groups highlight important variations in the data across populations.

Now, let's move to page 2 of the dashboard. From the "hamburger" menu (i.e., the menu icon with three horizontal lines in the top right of the table), select "Reduced gender wage gap."

In the left panel of the dashboard, you'll see average hourly gender wage ratios, which can be filtered by geography, age group, type of work (full-time or part-time) and National Occupational Classification (NOC) category. In the right panel, you'll see median and average annual employment incomes, which can be adjusted by geography, age group and occupation. To understand these ratios, note that a ratio of 1.00 means women and men earn the same, a ratio below 1.00 means women earn less, and a ratio above 1.00 means women earn more. It's important to note that annual employment income reflects total income from wages, salaries and commissions, and may include income from multiple jobs. This is different from hourly wage data, which focus more specifically on the rate of pay and are not affected by differences in hours worked. Together, these data points offer different perspectives on gender-based income disparities.

Each observed panel has a ratio of below 1.00, indicating that women's hourly wages and annual employment income are lower than those of men across geography, age group and occupation.

Let's filter the data to look at the gender wage gap using the average hourly wage for both full-time and part-time employees. Use the drop-down menus on the left panel of the dashboard to select "Both full- and part-time employees" under Type of work, and "25 to 54 years" under Age group. Then choose "Natural and applied sciences and related occupations, except management" under NOC. Here, we can see that among workers aged 25 to 54, the average hourly gender wage ratio is 0.91 for reference year 2024, meaning women earn about 91 cents for every dollar earned by men. When comparing across age groups, the largest average hourly wage gap occurs among workers aged 55 and over.

By contrast, we can also identify fields where the hourly gender wage gap is much smaller. Again, in the left panel of the dashboard, keep the same selections under Age group and Type of work. Then select "Health occupations, except management" under NOC. Here, the graph shows the narrowest hourly gender wage gap among the occupation selections.

To compare wage gaps across occupations and other variables, you can view or download the source table in the Data section of the page.

By exploring in more detail the paid labour force using various entry points such as age, type of employment (full-time versus part-time) and occupation type, we can obtain important insights into gender wage gaps. These data provide a foundation for understanding pay differences across Canadian occupations.

How to use the dashboards

Here's how to get the most out of the dashboards:

Hover over a chart to see tooltips with extra details, like values and data quality symbols, which indicate data reliability when applicable.
To view more indicators, click the menu icon in the top right corner.
To download data, hover over the top right of a chart, click the three dots, select "Export data" and choose the CSV file format. You can then save the data as an Excel file.
To see the data tables behind the dashboards, as well as additional variables not showing the visuals, click "Data." This will open a section listing the various Statistics Canada tables with the data for the dashboard.

All dashboards are directly linked to their source data tables and update automatically during the daily refresh from 10:30 a.m. to 11:30 a.m. (Eastern time). This ensures the dashboards always reflect the most up-to-date information available. Note, however, that the daily refresh does not necessarily mean new data are added each day. Remember: Dashboards time out after 15 minutes of inactivity. If this happens, refresh the page to restart.

The meaning of intersectionality

Finding data is only the first step. The real power comes when you ask, "Who are these data about? And who may be missing?"

This is where the Disaggregated Data Action Plan, or DDAP, comes in. The DDAP provides detailed, disaggregated data on populations by factors like sex and gender, age, disability, income, indigenous identity, racialized groups, immigrant status, language, religion and geography. By making this data available, the DDAP allows analyses like Gender-based Analysis Plus to examine how these factors intersect and influence socioeconomic outcomes.

For example, from the main Gender Results Framework page, click the "Poverty reduction, health and well-being" tile to bring up its dashboard. Select "Fewer women and children living in food-insecure households," from the hamburger menu. This will bring up the dashboard showing statistics on food insecurity. The graph in the left panel shows data on food insecurity by province (as well as nationally), which can be filtered by economic family type and household food security status. The graph in the right panel will be our focus, as it provides data on food insecurity for different demographic groups. Similarly, this chart can be filtered to give a more in-depth picture by geography and household food security status. So, while the left graph may indicate that the proportion of individuals who are moderately or severely food insecure in Manitoba is almost 20% in 2023, selecting "Manitoba" for the right graph will filter the data to give a more detailed picture of who in this province faces moderate to severe food insecurity. The data in the graph give results for different age groups, by gender and age, as well as for different racialized and immigrant populations. These findings highlight disparities in food insecurity across population groups and support a clearer understanding of who is most affected. The data in this dashboard and the associated tables are sourced from the Canadian Income Survey.

But the dashboards are only a first step in understanding which populations face food insecurity. By going to the "Related data" section below the table, you will find a list of different data tables available to explore in greater depth for different populations. For the food security example, by going to the table titled "Health indicators by visible minority and selected sociodemographic characteristics" (Table 13-10-0880-01) and selecting "Add/Remove data," you can explore disaggregated data for different racialized groups; selected characteristics, including age, gender and immigrant status; and levels of food insecurity (among other indicators of perceived health). Unlike the earlier tables, these data come from the Canadian Community Health Survey. To get a full picture of food insecurity's impacts on different subpopulations, you may choose to look at other tables listed in this section.

Again, the dashboards are intended as a helpful first step in your analysis. Through Statistics Canada's DDAP, we remain committed to continuously improving the representation of diverse groups in our statistical outputs and expanding the availability of disaggregated data in the future.

To summarize, use the dashboards as your starting point. Then use the underlying and related data tables for deeper analysis of how different populations experience an issue.

Closing—moving forward with confidence

You've just seen how the Gender Results Framework dashboards can help to uncover deeper insights about gender and diversity in Canada. But the real impact comes when you put those insights into action.

Use what you've learned to ask better questions, explore disaggregated data, and support programs and policies that reflect real people's lives.

To keep learning, visit the Gender, Diversity and Inclusion Statistics Hub. Explore, compare, download and ask why—because disaggregated data can better inform decisions.

Thanks for watching. We hope this information helps deepen your understanding of the data.