The Importance of Disaggregated Data: An Introduction (part 2)

Catalogue number: 892000062024002

Release date: July 16, 2024 Updated: July 9, 2025

This short video explains how the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups.

Data journey step
Foundation
Data competency
  • Metadata Creation and Use
Audience
Basic
Suggested prerequisites
The Importance of Disaggregated Data: An Introduction (part 1)
Length
07:56
Cost
Free

Watch the video

The Importance of Disaggregated Data: An Introduction (part 2) - Transcript

Statistics 101: Exploring measures of central tendency - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "The Importance of Disaggregated Data: An Introduction (part 2)".)

What is disaggregated data?

In a country like Canada, one can expect to see diverse pictures of communities, ethnocultural groups, life stages, gender and occupations. These groups, big or small, may experience different socioeconomic challenges or outcomes throughout their lives, such as academic success or labour market trajectories. Some specific groups may even be more vulnerable and could experience mental health challenges during their lives or even homelessness. For a better understanding, we disaggregate data. That means taking carefully gathered and aggregated data, which is a critical step in ensuring data are kept anonymous, and stepping back to look at the data for various populations by breaking down large scale datasets into sub categories such as religion, gender, ethnicity or combination of the like.

Where can you find disaggregated data?

Given the potential usefulness of disaggregated data, your next question might be where can I find the data I need? The truth is, you might not be able to find one single source that will answer all of your questions. To provide a complete picture, you might need to combine data from various sources, and Statistics Canada's many products and services can be a big part of that. Our website provides access to a wide range of research reports and disaggregated data from a growing collection of survey and administrative data sources. Data can also be complemented by valuable insights from people with lived experience, engagements and consultations, and other sources of qualitative information.

Each initiative will require analysis of different disaggregated groups

(Categories revealed one after the other: "Gender and/or Sex", "Age", "Ethnocultural diversity", "Indigenous identity", "Geography", "Education", "Occupation", "Income", "Sexual orientation", "Disability", "Language", "Immigration status", "Employment", "Family status", "And many more!")

Here are some examples of disaggregated groups that are important to consider today. Every day we're evolving as people and going through challenges related to where we are at in life. Some of us might be running after young children or caring for our senior parents. We may be starting university or looking to upskill after losing our job. In 2022, Canada welcomed over 1,000, 000 immigrants. So many of us are new to the country. Disaggregated data reflect who we are and help inform on our challenges at a particular point in time. Each policy or community initiative will need to focus on the right disaggregated groups to focus on, and these groups will evolve over time as our communities evolve. In Samir's example, he considered geography, age and disability to improve delivery of public transportation in Greendale. Another initiative will need to consider different groups. Essentially, disaggregated data means you can tailor the analysis to your needs.

Likewise for business-oriented initiatives

(Categories revealed one after the other: "Geography", "Sector", "Firm size", "Foreign/ domestic controlled", "Exporter/importer", "Majority ownership by groups (e.g. women, Indigenous, racialized)", "Incorporated", "Age of business", "Employment", "And many more!")

Just like people's businesses are not all the same. For policies or programs that target businesses, it's also important to consider disaggregated groups. Each of these characteristics can influence outcomes and challenges for businesses. Think of a small family run business led by a recent immigrant. They will have different challenges than a large food processing factory owned by a multinational corporation.

Let's disaggregate: By gender

Here is an example of disaggregated data at work. Let's imagine you are tasked with creating a policy initiative to help people find jobs. Let's start by taking a look at the unemployment rate for Canada to see if there are any major differences between women and men. The unemployment rate primarily reflects people who are looking for a job, expressed as a percentage of all people in the labour force, that is, people who either have a job or are looking for one. For 2023, results look relatively similar by gender, with the unemployment rate reaching 5. 1% for women and 5.4% for men, trends that reflect economic and labour market performance in that year. Disaggregating by gender only doesn't seem to be enough to identify notable differences, so let's dig deeper into the data and add other dimensions that are relevant to our understanding of unemployment.

Let's disaggregate: By gender and age

Let's disaggregate by both gender and age. Based on the chart, we can see that youth—those aged 15 to 24 years old— have higher unemployment rates than core-aged and older people. Additionally, younger men have a slightly higher unemployment rate than young women. About one in nine young men in the labour force are unemployed. Their unemployment rate in 2023 was 11.5%. In comparison, the rate among young women was 10%. What other identity factors could be considered for this analysis? Well, since we already know that Canada has a very diverse youth population, it may be worthwhile to disaggregate the data by racialized group membership. In addition to gender and age.

Let's disaggregate: By gender, age and racialized group membership

In the data we have, we see that racialized group membership is measured using the concept of "visible minorities". So, if we focus on youth aged 15 to 24 and further disaggregate by gender and being a member of a visible minority group, we observe new differences, with young visible minority men having the highest unemployment rate at 13.2%, followed closely by young visible minority women at 10%. In contrast, young women who are not members of a visible minority group have the lowest rate at just under 9%. At this point, you may be thinking about ways to help racialized youth find employment, but that is still a broad group with notable differences in labour market characteristics. So let's disaggregate even further.

Let's disaggregate: By gender, age and specific racialized group membership

Let's look at results for the five largest visible minority groups in Canada. Again, some important differences have emerged through another level of disaggregation. Among young men, Black and Arab youth seemed to face higher unemployment than the overall average represented by the blue bar Among young women, the unemployment rate is somewhat higher than the overall average across most of the racialized groups, while it is lower among young Filipino women. Based on this disaggregated data, you might think about how to ensure your policy initiatives can reach certain groups that may be more likely to need supports in finding a job, such as racialized group in general and young Black and Arab men in particular.

(The following words are revealed over a funnel shape that starts wider and ends narrower: "Gender", "Age (youth)", "Racialized group membership" and "South Asian, Chinese, Black, Filipino, Arab".)

As we've seen in this example, the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups. In this example, if we had based our analysis on only the unemployment rate at the national level or even for women and men, it would not have been enough to ensure our policy intervention would be focused on the most at risk people. And this is just one example. Depending on your organization or analytical needs, you may disaggregate data in different ways. Perhaps geography or another characteristic is a relevant factor in your situation. The point is, it often takes multiple layers or levels of disaggregation to get at the full story.

(The Canada Wordmark appears.)

The Importance of Disaggregated Data: An Introduction (part 1)

Catalogue number: 892000062024001

Release date: July 16, 2024

This short video explains how it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian.

Data journey step
Foundation
Data competency
  • Metadata Creation and Use
Audience
Basic
Suggested prerequisites
N/A
Length
03:37
Cost
Free

Watch the video

The Importance of Disaggregated Data: An Introduction (part 1) - Transcript

Statistics 101: Exploring measures of central tendency - Transcript

(The Statistics Canada symbol and Canada wordmark appear on screen with the title: "The Importance of Disaggregated Data: An Introduction (part 1)".)

(Text on screen: Meet Samir)

Samir is a city planner. He is responsible for helping to improve public transportation in the growing municipality of Greendale. One day, a report lands on his desk. It reads: "80% of the city's residents are satisfied with the current public transportation system." That's great news, right?

(Text on screen: Map of Greendale. The map divides in three visual categories: Northern, Central and Southern. A fourth visual appears titled: Senior citizens. The Senior citizens are dispersed on the map of Greendale.)

But what if Samir was able to tap into resources that allow him to read beyond that headline? Through his knowledge and understanding of how to access the data that the report was based on, Samiri is able to break down (or disaggregate) the data further. He discovers that:

  • Only 60% in the city's northern district are satisfied, and they often complain about irregular bus services.
  • The central district, where many office workers live, has an over-saturation of buses during off-peak hours but a shortage during rush hours.
  • The newest southern district, with its recent infrastructure developments, enjoy a 95% satisfaction rate.
  • Senior citizens, who represent a sizable percentage of the city's population, report a satisfaction rate of only 50%, noting a lack of accessible options for those with mobility issues.

(A bar chart with the following title: Satisfaction of the population of Greendale with the public transportation system. The bar chart has percentage of satisfaction rate on the vertical axis and four categories on the horizontal axis: Northern population (at 60% of satisfaction), Central population (at 70% of satisfaction), Southern population (at 95% of satisfaction) and Senior citizens (at 50% of satisfaction). The Overall satisfaction rate is 80%.)

If Samir acted solely on the initial 80% satisfaction data, he might conclude that the public transportation system only needs minor tweaks. Meaning he would be contributing to the continuation of under-served and dissatisfied demographics, not to mention the wasting of resources by having too many buses during off-peak times.

But by breaking down or disaggregating the satisfaction data by geography and age groups, he is able to:

  • Reassess and increase the frequency of buses in the northern district.
  • Adjust bus schedules in the central district to align better with the office rush hours.
  • And create a new program to enhance accessibility for senior citizens.

For Samir, the importance of knowing how and where to access disaggregated data to help understand the diverse needs of different communities and areas, play an integral part in his ability to make decisions that ensure every resident gets the quality of the service they deserve.

(Text on screen appears one after the other: Gender, Age, Ethnocultural identity, Indigenous identity, Geography, And many more!)

Similarly, it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian. As much as possible, the data should be disaggregated by gender, age, techno, cultural identity, indigenous identity, different geographies and any other community relevant identity factors, and presented distinctly for each specific subgroup.

(The Canada Wordmark appears.)

Retail Commodity Survey: CVs for Total Sales (First Quarter 2024)

Retail Commodity Survey: CVs for Total Sales (Fourth Quarter 2023)
Table summary
This table displays the results of Retail Commodity Survey: CVs for total sales (Fourth Quarter 2023). The information is grouped by NAPCS-CANADA (appearing as row headers), and Quarter (appearing as column headers).
NAPCS-CANADA Quarter
2024Q1
Total commodities, retail trade commissions and miscellaneous services 0.56
Retail Services (except commissions) [561] 0.56
Food and beverages at retail [56111] 0.40
Cannabis products, at retail [56113] 0.00
Clothing at retail [56121] 0.88
Jewellery and watches, luggage and briefcases, at retail [56123] 1.92
Footwear at retail [56124] 1.15
Home furniture, furnishings, housewares, appliances and electronics, at retail [56131] 0.83
Sporting and leisure products (except publications, audio and video recordings, and game software), at retail [56141] 2.39
Publications at retail [56142] 6.71
Audio and video recordings, and game software, at retail [56143] 4.45
Motor vehicles at retail [56151] 1.76
Recreational vehicles at retail [56152] 3.85
Motor vehicle parts, accessories and supplies, at retail [56153] 1.71
Automotive and household fuels, at retail [56161] 1.58
Home health products at retail [56171] 3.28
Infant care, personal and beauty products, at retail [56172] 2.83
Hardware, tools, renovation and lawn and garden products, at retail [56181] 1.69
Miscellaneous products at retail [56191] 2.22
Retail trade commissions [562] 1.69

Retail Commodity Survey: CVs for Total Sales April 2024

Retail Commodity Survey: CVs for Total Sales March 2024
Table summary
This table displays the results of Retail Commodity Survey: CVs for Total Sales (March 2024). The information is grouped by NAPCS-CANADA (appearing as row headers), and Month (appearing as column headers).
NAPCS-CANADA Month
202401 202402 202403 202404
Total commodities, retail trade commissions and miscellaneous services 0.70 0.66 0.59 0.69
Retail Services (except commissions) [561] 0.69 0.65 0.59 0.69
Food and beverages at retail [56111] 0.48 0.43 0.43 0.65
Cannabis products, at retail [56113] 0.00 0.00 0.00 0.00
Clothing at retail [56121] 0.76 0.85 0.97 0.85
Jewellery and watches, luggage and briefcases, at retail [56123] 2.01 2.46 1.97 2.32
Footwear at retail [56124] 1.26 1.08 1.27 1.12
Home furniture, furnishings, housewares, appliances and electronics, at retail [56131] 0.91 0.86 0.90 0.92
Sporting and leisure products (except publications, audio and video recordings, and game software), at retail [56141] 2.53 2.81 2.47 2.20
Publications at retail [56142] 5.34 7.39 6.78 6.82
Audio and video recordings, and game software, at retail [56143] 4.06 3.80 3.93 4.18
Motor vehicles at retail [56151] 2.48 2.24 1.84 2.31
Recreational vehicles at retail [56152] 5.24 4.89 5.03 4.50
Motor vehicle parts, accessories and supplies, at retail [56153] 2.50 1.89 1.62 1.49
Automotive and household fuels, at retail [56161] 1.65 1.54 1.69 1.63
Home health products at retail [56171] 3.32 3.27 3.34 3.21
Infant care, personal and beauty products, at retail [56172] 2.92 2.80 2.90 2.56
Hardware, tools, renovation and lawn and garden products, at retail [56181] 1.80 1.65 1.84 1.44
Miscellaneous products at retail [56191] 2.17 2.11 2.23 2.70
Retail trade commissions [562] 2.05 1.76 2.07 2.02

Crime Severity Index Webinar (35220002)

Crime Severity Index webinar - Transcript

Introduction

Speaker 1

I would like to thank the traditional territories of the First Nations People, Métis and Inuit across the country. I am joining you today from the traditional territories of the Wendat, the Haudenosaunee and the Anishinaabe peoples whose presence here continues to this day. I would also like to acknowledge the land that I am on is at the meeting place of two treaties, the lands of the Mississaugas of the Credit and those of the First Nations of the Williams Treaty.

I would like to thank them and their Indigenous peoples for sharing this land with me. I'm honoured to be on this beautiful territory. Before we begin today's webinar, I invite you to take a moment to privately acknowledge the territory on which you find yourself.

Your presenter today will be Gregory Moreau, an analyst from the Canadian Center for Justice and Community Safety Statistics here at Statistics Canada. Today's session will be in English and last approximately 30 to 45 minutes. Closed captioning will be enabled through the built-in function of Microsoft Teams. So, to turn on the live captions, please go to your meeting controls.

Select more options and click turn on Live Captions. We had sent you a copy of the presentation yesterday, but if for some reason you did not receive it, please follow up with us and we would be happy to resend it to you. Should you have any questions of a technical nature during the presentation, please feel free to use the chat.

Please stay on the line at the end of the session as we will conduct a quick poll with only five questions to help us improve our webinar program. However, if you do not have any further questions, please go to the Statistics Canada website, and click on Contact Us to email or call, and a representative will follow up with your questions in a timely manner.

Okay, so without further ado, it is now my pleasure to pass over to you, Greg.

Title slide – Slide 1

Speaker 2

Hi, and thanks for joining today's webinar. So, this introductory webinar will have sort of a general focus on the Crime Severity Index or the CSI. It's one measure that we produced to help understand crime in the country. But I'll start by giving a bit of an introduction to the Canadian Center for Justice and Community Safety Statistics.

And then move on to the CSI and some other measures and then end with a demonstration showing sort of how you can access the huge amount of information on the StatCan website, to help give more context to crime data, including the CSI. And this will give you the tools to do some digging into topics of interest for yourselves.

Slide 2

Speaker 2

At its core, Statistics Canada produces data and insights to help Canadians better understand our country's population, resources, economy, society and culture. The Agency is legislated by the Statistics Act to collect, compile, analyze, abstract, and publish statistics in relation to matters including law enforcement, the administration of justice, and corrections. The Agency has a duty to publish information where it meets the conditions of the Statistics Act.

So basically, there's an obligation to collect and disseminate relevant information on the justice system. To fulfill this obligation, the Agency has been part of the National Justice Statistics Initiative for over 40 years, where we partner with justice and public safety departments and stakeholders. The mandate of this initiative is to provide information to the justice community and the public on the nature and extent of crime and victimization, and the administration of criminal and civil justice.

This is all important from a back end or sort of a top-down perspective, since these things are the driving force behind us collecting and publishing our crime data, and it also ensures we are consistently monitoring trends across the country and internationally to try and improve our information.

Slide 3

Speaker 2

The Canadian Center for Justice and Community Safety Statistics helps fulfill the obligations for collecting and disseminating information on justice and public safety for Statistics Canada. It produces data that reflects crime, and justice trends and develops standardized uniform indicators, which are essential for doing comparisons and trends. The Center does this through a variety of data programs.

There are four main programs from the justice side of things that we'll cover here. But we also have programs for community safety, data linkages and data development, as well as a client services division. But again, for our purposes, the Center has four main crime and justice data collection or analysis programs. There's the policing services program, which administers the Uniform Crime Reporting Survey, the Homicide survey, and the Police Administration survey.

There are also separate courts and corrections programs, which administer surveys and collect, compile and release information, and an analytical unit, which analyzes a variety of information, including data from the General Social Survey on Canadians’ Safety and the Survey of Safety in Public and Private Spaces. These two surveys in particular are self-reported surveys, which means they can capture victimization even for crimes that were never reported to police.

Slide 4

Speaker 2

So, these programs all together complement each other by filling in info on justice pathways and the criminal justice system. And it basically just gives us a more holistic view of crime and justice. So, as I mentioned, the Policing Services program administers the Uniform Crime Reporting Survey, or the UCR, which is a census of all crime recorded by police across Canada. The UCR survey is what we use to look at annual crime statistics information, including the conventional crime rate and the Crime Severity Index. The UCR has been collecting data since 1962, and it currently collects detailed information from over 99% of police services in Canada.

Each police service tracks and records every criminal incident that they respond to or is reported to them in a records management system. And often these are done on the spot in their police cars. So, this information is reported in a uniform and consistent way according to standardized definitions. And this data is then extracted from their systems and sent to our Center, and the UCR team gathers this information, verifies it, checks it for any issues, and then this is what we use to analyze and produce our crime statistics. So, the UCR was developed to capture crime information in a standard and uniform way across the country.

Slide 5

Speaker 2

Since the 1960s, official police reported crime has been typically understood through the lens of the conventional crime rate, which measures the amount of crime reported by police in an area. The Crime Severity Index, or CSI, was developed in 2009 as a complementary measure to the conventional crime rate and self-reported victimization data. It represented the first major change in how Statistics Canada looked at police reported information in nearly 50 years.

And while the CSI has now been out for about 15 years, we recognized the need to provide some additional context on the measure and ensure users have all the all the tools they need to properly understand and interpret the CSI in a broader social context.

The CSI is intended to be one of many sources of information that can be used to better understand the evolving nature of crime in Canada. So, let's have a closer look at how the CSI works.

Slide 6

Speaker 2

To understand the CSI, we need to understand what severity means. The CSI considers all Criminal Code violations and other federal statute offenses in its calculation. To calculate the CSI, a specific weight is applied to each type of crime reported by police. The weight is applied based on standardized information from court sentencing data over the previous five years, and this data is also collected by Statistics Canada through the Integrated Criminal Courts Survey. Crimes that are more likely to result in a prison sentence and for longer sentences will have a higher weight.

This weight represents the severity of the crime and this is what we mean by severity in the index. So, in our example on this slide, robbery has a final weight of 466 while disturbing the peace has a weight of 12. This means that one for one, robbery has a weight about 39 times higher than disturbing the peace.

So even if it happens less frequently, the CSI will highlight its severity. After applying the weights to each type of crime, we then multiply the number of crimes by their assigned weights to get a weighted total. And then we divide this by the population to get a weighted rate.

Slide 7

Speaker 2

Every five years the CSI weights are updated to cover current and recent data. So, this way, if there are changes in legislation or sentencing practices for different types of crime, the weights will be updated to reflect those changes. The updates account for new violations over time, changes in the average sentences of crimes over time, and changes in legislation directing sentencing. So, for example, mandatory minimum sentences. Basically, a given version of the CSI weights will represent the relative seriousness of crimes at that point in time.

Slide 8

Speaker 2

So, you might be wondering now what the difference is with the conventional crime rate, or why are these two sorts of measures important to consider? The conventional crime rate is calculated by adding up the number of crimes reported by police for a given period and area, and then dividing that total by the population. What typically happens is the crime rate is driven by crimes that occur frequently but are relatively less serious.

So, for example, minor thefts disturbing the peace and mischief. On the other hand, the crime rate is less able to reflect changes in less frequent crime that is very serious, like murder. So as an example, with the crime rate, one minor theft has the same impact on the rate as one murder. If you had 100 thefts and one murder, the bulk of the crime rate will be made up of theft.

And if you added one additional murder, the rate would stay essentially the same. But with the CSI, the impact of one murder is about 280 times that of one minor theft.

So, murder has a far heavier weight in the CSI, highlighting its severity, even though it happens far less frequently. So, this time, if you add in one additional murder, there would be a significant change in the CSI value. Relative to the conventional crime rate, the CSI will better reflect the impact of a change in the frequency of murder or other serious crimes. Whereas with the conventional crime rate, this change may go undetected.

Slide 9

Speaker 2

The CSI represents one way of looking at crime. There is no single measure that can adequately summarize all the information that you might want on the extent and characteristics of crime. Different approaches serve different purposes. Yet together they provide a more comprehensive picture of crime than any one approach alone. Combining information from different sources provides a more comprehensive understanding of complex issues.

So, for example, there are many ways of looking at crime, including with police-reported crime counts, courts and corrections data, policing resourcing data, as well as survey data on self-reported victimization and perceptions of safety and trust in institutions. The CSI complements what we know about police-reported crime by looking at the relative severity of crimes and the volume of crime.

By comparison, the police-reported crime rate tells us about the volume of crime coming to the attention of the justice system. But it also adds to our understanding of police workloads and demands on the justice system. We also have a very long time series for the crime rate, dating back to 1962, so we can identify long term historical trends.

Also, victimization data tell us about Canadians experiences of crime, whether or not they are reported to the police. And this is very important because we know through victimization surveys that approximately one third of crime is never reported to police.

So, just for example, with these three measures of crime, by combining them and looking at them all, we can develop a more nuanced understanding of crime trends in Canada.

Slide 10

Speaker 2

The CSI, like any single indicator, should always be interpreted with appropriate context. In the case of the CSI, this includes sort of an internal context, such as the types of crime that make up the CSI and how they are changing over time or within an area, but there is also an external context. So, for example, community and population factors, relative geography, education, housing, the economy and the workforce and other things like that. Broadly, the CSI is one piece of a much larger puzzle that helps Canadians better understand our country: its population, resources, economy, environment, society and culture.

This slide sort of helps to illustrate the amount of information that is released by Statistics Canada at various levels, and the potential interplay between the different sources of information. So, crime data is only one component of a community's characteristics that are relevant.

Also, as an area-based index, the CSI does not account for the specific demographics of each area, or how different groups of people may experience harm and discrimination. So said another way, the CSI is not representative of any single person or group of people in an area. It's an aggregate or average measure of crime.

Importantly, while compiling and validating crime data before we release it, we work with police services to try and explain large changes in crime patterns and include this information in our analytical reports and our data tables. There are also some key considerations, when using the CSI, that can help situate the index value and the crime story in general.

Slide 11

Speaker 2

At its core, the CSI is a measure of crime reported by police in a specific region.

It accounts for the weighted severity of each reported crime relative to the population and is expressed per 100,000 people. Population counts used to calculate the CSI come from the Census of Population, but populations can be dynamic, especially in regions where the economy is largely driven by seasonal activities such as tourism or through certain business activities. Certain regions may also experience higher population movement or mobility due to several factors such as the local job market, housing costs, the location of the area, so if it's a city, a small town or a remote area, and the presence or absence of community services. So, these population characteristics must also be considered when interpreting crime trends.

Where possible, the Center works with police services to identify relevant population factors that may impact reporting in an area. Another essential thing to consider is the fact that not all crimes that occur are reported to police. So, reporting crime depends on several factors, including police resources, public awareness, and the relationship people have with the police and other institutions.

Slide 12

Speaker 2

Speaking more broadly, the CSI was developed in conjunction with stakeholders and the public and is a key indicator in different national frameworks. So, for example, the CSI is part of Canada's actions to achieve the United Nation’s Sustainable Development Goals. These goals provide a shared blueprint for peace and prosperity and to achieve a more sustainable and equitable future.

The CSI is also a key indicator in the Quality-of-Life framework for Canada, which brings together data on the well-being of people in Canada. What is important about these frameworks is that they combine many different pieces of information to arrive at a more holistic understanding of the sort of general well-being or health of an area. This is essential when interpreting crime measures at any level, be it for the country or for a small town.

Slide 13

Speaker 2

Each year, the Canadian Center for Justice and Community Safety Statistics releases several analytical and data driven products related to crime and justice, including the release of annual crime statistics from the UCR survey. When annual crime stats are released, the CSI is included in a few different products. It is part of an analytical article summarizing changes in crime over the last year, it is also included in an accompanying infographic, and it is included in several online data tables with detailed footnotes. These data tables have information for police services across Canada. The data tables are also used to sort of feed into our data visualization dashboards, which help summarize the millions of data points that are generated each year.

To help people navigate all this information. I'll now turn to do a brief demo to highlight where you can go on the StatCan website to get some of this helpful information for yourself.

Slide 14 – Website demo

Speaker 2

So hopefully everyone here has been to the StatCan website before, but if not, this is our landing page for it. And basically, there's two primary types of data products for crime analysis. So, we have online data tables and analytical articles.

And to accompany these, like I said before, we have some other products like infographics and dashboards to help visualize and summarize our information and some reference documents that can help explain certain concepts or how to use them. But with all this information, the website can become a bit overwhelming. And it's also not just for crime data.

So, we'll go through a quick overview of how to access some of the products, provide a demonstration of how to manipulate our online data tables and our virtual dashboards, and also show some helpful additional resources that can help you contextualize the information you’re looking for.

So, I guess to start, it can be helpful to have a look at the StatCan Daily, which is located here. So you click there.

The StatCan Daily is excellent because any new product or analytical article that's released is going to be published through the Daily, through a release statement. And, so this sort of gives you a sense of like what's been happening most recently. And you can also do searches either by subject or just an overall search.

So, for example, if you wanted to go to releases by subject, you'd have a section on crime and justice. And you can always, you know, search for that and if you, you know, had an interest in our police-reported crime statistics report from last year, you could find that. And you can also just do a general search through the daily. If you wanted to search for the Crime Severity Index, and again it would pop up the relevant articles, and reports and products that would be useful.

But if you wanted to dig into more detail or evaluate some more information, there is other information across the top of the website. And some of the headings are, I mean, all the headings, I guess, are self-explanatory, but some of them are more important for our needs than others. So, the subjects heading brings you to a list of hubs or landing pages by subject.

The data and analysis tabs will bring you to pages where you can search for data and analytical reports, and you can filter for a lot of different things in there. And there's also the Census tab, which will bring you to information from the Census of Population. So, to start, if you head over to the subjects heading, it'll bring you to a list of subjects.

And there are many useful links for lots of different information. But for our purposes, we can check out the Crime and Justice Subjects page.

And basically, in here, it has a summary of all the information that is relevant to our programs in the Center, which I mentioned before. So, our correctional services program, courts program, our police-reported information and victimization information. And then, when it comes time to release our latest annual release of crime data this year, we're also going to be adding an area here for resource documents, which will help you access some reference documents that can help better understand some of the information. This will include also a report on understanding and using the CSI.

And then if you wanted more detailed information or more raw data, you can always go to the data header. And in here we can sort of play around with it in multiple different ways. One way is you can go to a pre-arranged subject which would be the crime and justice subject. Or you can also do a search. So, if you're interested in the Crime Severity Index, you could do a keyword search. And we would get a list of information that's relevant. If we click on the first table which happens to be a table summarizing the CSI for Canada, the provinces and territories and census metropolitan areas, we can click there. We also have information that, goes down to the police service level. Just for example, we'll go here.

So, these data tables are standardized for any subject at Statistics Canada. Like they will have a similar look and feel and the same functionality. Importantly, every one of the tables will have detailed footnotes attached to them. And it's really important that we check out these footnotes to get the proper context for understanding the information that’s there.

Then within the table you have many different options. You can see there is a default view where you can adjust some drop down menus here. So, if you were interested in say Quebec or Montreal and Quebec and a different reference period, we can make adjustments there.

And you end up with, you know, a table with many data points. But if you're going to add or remove data, you can also customize the look and feel of your table and include additional information that wasn't available to you on that main page. So again, here we can select from multiple geographies.

So maybe we are interested in Canada and Montreal. And then you can select or deselect any statistics that you may want. So, if we're only interested in the Crime Severity Index over time we can click on that. And the reference period, you can also change. So, let's just look at the longest period we have. And then you'll click apply.

And now you end up with this very wide table which isn't particularly easy to understand. So, one thing you can do is customize the layout of your table. So, we might want our geography to be shown as a row. So we can go to apply.

And then we're going to end up with a different table now. So, it's going to show our information over time for the two geographies that we are, you know, interested in.

And then once you've set up your table, you do have the option to download this. So, you can download the table either all of the data that's underlying it or just the information that you are showing in your current view.

So, if you click that you’d be given various download options. And then you can also save your customized table. So, you just click here and then it gives you a link like a URL which you can copy and paste into like a word document or an email or whatever. And then you could return to the layout that you previously selected, which is definitely very nice and helpful.

So, we do have, every year when we release our crime statistics information, we update I think 38 of these tables, for just our crime stats information alone.

Speaker 2 And they also exist at multiple different levels of geographies. So, there's a lot of information there.

To help sort of summarize some of that information and help visualize it, we also developed some dashboards. We can get to those again if we go to our data tab. And if we search for Crime Severity Index.

You'll notice that we have our tables tab again where we just were. But we also have a data visualizations header. And this will bring us to any data visualizations that will help with our relevant search. So, we can go to this one. So, this is a dashboard that has sort of selected key indicators for crime. And there's a lot of information here. So, I'll keep it fairly brief. But let's say if we want to continue our example of looking at Montreal. You can do a search here.

And when we search for Montreal, we'll see that these indicators are updated to reflect the information for Montreal, for the reference period that we selected above.

And what's nice about this is you can start to dig a little deeper into some of the information that might be relevant to you. So, you might see, okay, well, the crime rate increased 12% in Montreal from 2021 to 2022. And these provide a summary of important or typically key, crime types that are of interest. And one of them could be breaking and entering. So, if we look at breaking enter, we'll see that it went up 15%. But in isolation we don't really know what that means. Which is then why we might want to look at a crime trend over time. So, we could click on breaking and enter here. And we'll get this line that shows us our trend line for breaking enter and for Montreal over time. So, in the last ten years basically we can see that sort of breaking entering has actually been trending downward despite having increased in the last year. Another way of looking at different offenses is how they impact the Crime Severity Index in a region.

So again, if you're interested in, breaking and entering, this chart down here, it gives you for each year the percentage contribution that that violation is contributing to the CSI. So, ten years ago, if you look at breaking and entering, it made up 26% of the CSI. So, 26% of the CSI value in that year in the CMA of Montreal. But now when we look at 2022, that contribution has gone down to 13%. So, so looking at that, we can see that breaking entering over time has been trending down and is also contributing less to the CSI in the region we are looking at.

Another way we can look at this is on a second page. We can look at some Crime Severity Index information. Again, for the geography we selected for, over time and also relative to, you know, the other provinces and CMAs. One interesting thing is, for example, you can look at the percentage change year over year and the CSI value, for example, you can see here in 2020, at the sort of height of the pandemic period, the beginning of the pandemic, we saw large decreases in crime. So we can see that fairly easily visually here.

We do have other information in our other dashboards. And this is all exists on our police reported information hub. There is currently five of them. Another thing you could potentially do is say you're interested in certain violations. We do have a dashboard for that where you can compare violations within a given geography.

So just a very simple example if you're interested in breaking and entering and fraud. So, you can search for those two violation types. And we can see the sort of trend lines for breaking and entering and fraud and see how it looks over time across locations. So, province territory and across the CMAs. And again, you can select for different reference periods. And you can also select for different geographies. So, if we were again interested in our Montreal example, you could click there, and we would see the information relevant to Montreal.

So, this is a lot of information, a lot of data, which is great if you have an idea of what you might want to be looking for or have experience analyzing crime data. Otherwise, we also have detailed analytical articles that are published through the daily and through our juristat catalog. And our juristat catalog is like an online journal with many articles released throughout the year. And these articles will include detailed analysis as well as important context for understanding crime trends. And we can get there a few ways So, one way is through the analysis tab at the top. And for example, we can look up our article here. And if we click on that we'll be given a lot of different information for different types of articles for crime data. And, you know, it really just depends on the topic you're looking for. So, if you're looking into firearms. And you search for firearms, you get that information.

You can also do this by just searching directly in the analysis tab. So again if you're looking for fraud you can search for that. And we would get any instances of fraud that are relevant to our search. You can also look for the Crime Severity Index. And again, be presented with any analytical articles that you know are relevant to our search.

And I guess another thing you can do is we can look for other information that might not be directly correlated with crime but could still be relevant. So, if you wanted to look up like rural Canada, you might find information for rural statistics. In Canada, we might find crime related information. So, we can always, you know, add in a filter here and we can find this information.

So, as we covered earlier in the webinar, it's really important when interpreting crime data that we take into consideration, the broader context around our numbers. So, for example, we would want to understand how the information is changing over time. What crimes make up the general pattern of crime and the community context for the area or areas we are looking at.

Lots of this information is available in our analytical articles. But if you're just looking at data points, it can be a bit trickier. So, we may want to get information on, say, the socio-economic profile or the population or demographic profile of an area. To do this, there are many great resources on the StatCan website.

We can go back to our subjects tab. And if we go to society and community. We have the option to select a bunch of different information and two really important hubs of information. One is the Rural Statistics Canada hub, and one is the Center for Municipal and Local Data. So, these two hubs will present to you more local area characteristics that can help contextualize other information in an area. Another great source of information is from our Census of Population because it also has detailed census profiles. So, if we go to our Census tab, you can go to Census of Population and then it has a list of census profiles. So again, in keeping with our example with Montreal, you can search for that.

And we can, you know, depending on what level of geography or disaggregation we're looking for, we can select for it. But we'll go to the CMA of Montreal. And when you do that, you're presented with a lot of information where you can also add and remove data depending on what you're interested in. But this is great because it gives you the sort of external context that might be important for understanding crime statistics. So, things like the demographics of the area, mobility and migration, housing, family, education and the labour and workforce situation.

And again, when we're in there, we can also add geographies if we want to do a comparison. So if we wanted to look up the province of Quebec, we could do that. And we’ll click on it. And now we have our two geographies where we can sort of compare and contrast, some other characteristics, that might be relevant when we're doing a crime analysis.

So basically, by combining information from these different sources, it makes interpreting crime trends and makes comparisons between different regions or over time, a lot more comprehensive.

So yeah, I hope the webinar was very helpful. And I'll just turn it back to our host. Thank you.

Slide 15 and slide 16

Speaker 1

Thank you, Gregory, for the presentation. So, we will now do a poll to help improve future sessions. I'll just launch that now. Okay. So, today's webinar was presented on behalf of Statistics Canada's data service centers. Some of our services include helping data users with data requests and offering workshops and webinars. Again, if you have any questions about this webinar, feel free to call us or email us. We put the email in the chat below. Our contact information is also on the screen here.

On behalf of Statistics Canada, I want to take this opportunity to thank you very much for your participation today and for your continued interest in the data we publish. As users of the data, we know you understand the value of these data, and we count on you to help us spread the word to your colleagues, friends and family of the importance of their participation in the StatCanada surveys. Thank you again and enjoy the rest of the day. Please hold on for the poll. And yeah, thank you all.

Canadian Economic News, June 2024 Edition

This module provides a concise summary of selected Canadian economic events, as well as international and financial market developments by calendar month. It is intended to provide contextual information only to support users of the economic data published by Statistics Canada. In identifying major events or developments, Statistics Canada is not suggesting that these have a material impact on the published economic data in a particular reference month.

All information presented here is obtained from publicly available news and information sources, and does not reflect any protected information provided to Statistics Canada by survey respondents.

Resources

  • The Haisla Nation and Pembina Pipeline Corporation of Calgary announced a positive Final Investment Decision on the USD $4.0 billion Cedar LNG Project, a floating liquefied natural gas facility in Kitimat, British Columbia. The parties said the facility will receive 400 million cubic feet per day of Canadian natural gas via the Coastal GasLink pipeline and is anticipated to be in service in late 2028.
  • Shell Canada Products, a subsidiary of Shell plc of the United Kingdom, announced the Final Investment Decision for Polaris, a carbon capture project at the Shell Energy and Chemicals Park, Scotford, near Edmonton. Shell also announced the Final Investment Decision to proceed with the Atlas Carbon Storage Hub in partnership with ATCO EnPower of Calgary. Shell said both projects are expected to begin operations toward the end of 2028.
  • Vancouver-based Taseko Mines Limited announced on June 1st that operations at its Gibraltar Mine had been suspended after its unionized workforce informed the company that they intended to take strike action as of midnight May 31st. The company said the mine was put on care and maintenance. On June 19th, Taseko announced that the union had ratified a three-year contract.
  • Kelowna, British Columbia-based Fission Uranium Corp. and Paladin Energy Limited of Australia announced they had entered into a definitive arrangement agreement pursuant to which Paladin will acquire 100% of the issued and outstanding shares of Fission for an implied equity value of $1.14 billion. The companies said the transaction is targeted to close in the third quarter of 2024, subject to Fission shareholder approval and other closing conditions customary in transactions of this nature, including receipt of Investment Canada Act and Competition Act (Canada) clearance, British Columbia court approvals, and applicable stock exchange approvals.
  • Toronto-based Victoria Gold Corp. announced on June 24th that the heap leach pad at the Eagle Gold Mine in Yukon experienced a failure and that, as a result, operations were temporarily suspended.

Financial

  • TD Canada Trust, RBC Royal Bank of Canada (RBC), BMO Bank of Montreal, Canadian Imperial Bank of Commerce (CIBC), Scotiabank, and Laurentian Bank of Canada announced they were decreasing their Canadian dollar prime lending rates from 7.20% to 6.95%, effective June 6th.
  • Montreal-based National Bank of Canada and Canadian Western Bank (CWB) of Edmonton announced they had entered into a definitive agreement under which National Bank will acquire all of the issued and outstanding common shares of CWB by way of a share exchange, valuing CWB at approximately $5.0 billion. The banks said the transaction is expected to close by the end of 2025, subject to approval by CWB shareholders and receipt of required regulatory approvals.

Other news

  • The Bank of Canada reduced its target for the overnight rate by 25 basis points to 4.75%. The last change in the target for the overnight rate was a 25 basis points increase in July 2023. The bank said it is also continuing its policy of balance sheet normalization.
  • British Columbia's minimum wage increased from $16.75 to $17.40 per hour on June 1st.
  • On June 20th, the Government of the Northwest Territories announced that due to fire danger in the region, a fire ban had been put into effect for Territorial Parks around Yellowknife, prohibiting open fires. The Government said the ban, which is in addition to any regional fire bans in place, was effective from June 20th until July 4th.
  • On June 21st, the Government of Newfoundland and Labrador announced that an outdoor fire ban prohibiting the setting of fires on forest land or within 300 metres of forest land was in place for all of Newfoundland and Labrador until further notice.
  • On June 24th, the Government of Quebec announced a ban on open fires in or in the vicinity of a forest due to current conditions. The Government said the affected areas include Nord-Du-Québec, Côte-Nord, and Saguenay-Lac-Saint-Jean.
  • Vancouver-based Copperleaf Technologies Inc., a provider of AI-powered enterprise Asset Investment Planning and Management software, announced it had entered into a definitive arrangement agreement with Industrial and Financial Systems, IFS AB of Sweden pursuant to which IFS will acquire all of the issued and outstanding common shares of Copperleaf for a total equity value of approximately $1.0 billion. Copperleaf said the transaction is expected to be completed in the third quarter of 2024, subject to customary conditions, including court approval, regulatory approval under the Canadian Competition Act, any other required regulatory approvals, and shareholder approval.
  • On June 23rd, Unifor announced that 1,350 members at Montreal-based Bombardier were on strike.

United States and other international news

  • The U.S. Federal Open Market Committee (FOMC) maintained the target range for the federal funds rate at 5.25% to 5.50%. The last change in the target range was a 25 basis points increase in July 2023. The Committee also said it will continue reducing its holdings of Treasury securities and agency debt and agency mortgage-backed securities.
  • The European Central Bank (ECB) lowered its three key interest rates by 25 basis points to 4.25% (main refinancing operations), 4.50% (marginal lending facility), and 3.75% (deposit facility). The last change in these rates was a 25 basis points increase in September 2023. The ECB said it intends to discontinue reinvestments under the pandemic emergency purchase programme (PEPP) at the end of 2024.
  • The Bank of Japan announced it will encourage the uncollateralized overnight call rate to remain at around 0% to 0.1%. The Bank of Japan ended its negative interest policy in March, 2024.
  • The Reserve Bank of Australia (RBA) left the cash rate target unchanged at 4.35%. The last change in the cash rate target was a 25 basis points increase in November 2023.
  • The Bank of England's Monetary Policy Committee (MPC) voted to maintain the Bank Rate at 5.25%. The last change in the Bank Rate was a 25 basis points increase in August 2023.
  • The Monetary Policy and Financial Stability Committee of Norway's Norges Bank left the policy rate unchanged at 4.5%. The last change in the policy rate was a 25 basis points increase in December 2023.
  • The Executive Board of Sweden's Riksbank left the repo rate unchanged at 3.75%. The last change in the repo rate was a 25 basis points reduction in May 2024.
  • OPEC and non-OPEC Ministers announced they had agreed to extend the level of overall crude oil production for OPEC and non-OPEC Participating Countries starting January 1, 2025 until December 31, 2025. In a separate announcement, OPEC+ countries which had announced additional voluntary cuts in April 2023 and November 2023, including Saudi Arabia, Russia, Iraq, and United Arab Emirates among others, announced they will extend their additional voluntary cuts of 2.2 million barrels per day until the end of September 2024 and then the 2.2 million barrels per day cut will be gradually phased out on a monthly basis until the end of September 2025.

Financial market news

  • West Texas Intermediate crude oil closed at USD $81.54 per barrel on June 28th, up from a closing value of USD $76.99 at the end of May. Western Canadian Select crude oil traded in the USD $59 to $68 per barrel range throughout June. The Canadian dollar closed at 73.06 cents U.S. on June 28th, down from 73.33 cents U.S. at the end of May. The S&P/TSX composite index closed at 21,875.79 on June 28th, down from 22,269.12 at the end of May.

Brochure - Canadian Survey on Early Learning and Child Care

PDF version (PDF, 1.41 MB)

What is the Canadian Survey on Early Learning and Child Care?

The Canadian Survey on Early Learning and Child Care (CSELCC) gathers information from parents and guardians of children (aged 0 to 5) on their child care arrangements, whether they use child care or not. This includes the cost, the type of services preferred and difficulties they may face when looking for child care. This survey also collects data on parents' and guardians' labour market participation, to better understand the connection between work and the use of early learning and child care arrangements.

The results of the CSELCC will inform the Government's Canada-wide Early Learning and Child Care Plan to give every Canadian child the same head start.

Why is your participation important?

Your participation in this survey will provide information to programs that help ensure Canadian families have access to high-quality and affordable early learning and child care services.

What are the key findings from previous surveys?

Some of the key findings from previous surveys are

  • 52% of Canadian children younger than 6 years were in child care in early 2022, down from 60% before the onset of the COVID-19 pandemic
  • In early 2022, approximately 4 out of 10 parents who were using child care reported having difficulty finding child care services
  • Most common reasons for not using child care include:
    • 38% of parents or guardians preferred to stay home
    • 27% of parents were on maternity or parental leave
    • 25% of parents or guardians found the cost of child care services were too high

How do you complete the survey?

You must enter the secure online access code you received in your invitation letter. To access the survey, go to Statistics Canada's Electronic Collection Website.

This survey should be completed by a parent or guardian who is knowledgeable about the household's child care arrangements.

For more information, contact:

General enquiries
infostats@statcan.gc.ca
1-877-949-9492
TTY: 1-800-363-7629

If you use an operator-assisted relay service, you can call us during regular business hours. You do not need to authorize the operator to contact us.

To learn more about the CSELCC, visit Canadian Survey on Early Learning and Child Care (CSELCC)

For participants

Venue

The conference will be held in the Barney Danson Theatre at the Canadian War Museum, located on the Lebreton Flats at 1 Vimy Place, Ottawa, Ontario.

The Canadian War Museum is easily accessible from downtown Ottawa by foot, bicycle, public transit or car (paid parking available on-site). You can find more information and directions on the Canadian War Museum's webpage.

Museum admissions fees are not required to attend the conference as the Barney Danson Theatre is separate from the museum’s exhibits.

Accommodations

Ottawa is home to a range of accommodation options. A block of rooms has been reserved at the Lord Elgin Hotel, located at 100 Elgin Street, Ottawa. The discounted rate is $219.00+tax, subject to availability.

Please visit the Lord Elgin Hotel’s webpage to book your stay. You may also contact the hotel directly at groups@lordelgin.ca or 613-235-3333 using booking code 5172373.

Wi-Fi

Complimentary Wi-Fi will be provided for the duration of the event.

Live translation

Speakers have the option to present in the official language of their choice. Simultaneous interpretation will be provided throughout the sessions.

Conference program

The conference program showcases innovative, collaborative approaches of using data and research to address key health challenges. The program is divided into four themes: data mobilization during times of emergencies, population health, preventive care, and environment and health. There is also time dedicated to networking, including through poster presentations and informational booths that foster direct interaction between data users and data providers.

Conference Chair: Josée Bégin, Assistant Chief Statistician, Statistics Canada

Thursday November 14th, 2024:

Time Event
8:00 – 8:50

Registration and poster setup

9:00 - 9:15 Welcome and Opening Remarks

André Loranger, Chief Statistician of Canada
Josée Bégin, Assistant Chief Statistician, Statistics Canada

9:15 - 10:30

Data Mobilization During Times of Emergencies

9:15 - 9:45

Keynote: Creating Conditions for Resilient Communities

Speaker: Dr. Theresa Tam (Chief Public Health Officer of Canada)

Description: Dr. Theresa Tam will explore how public health can leverage data to enhance equity, system resilience, and emergency response. She will discuss strategies for working with communities and partners across various sectors to build healthier and more resilient communities by emphasizing the role of public health data use to enhance health equity by placing equity at the core of emergency management science, evidence, and technology.

Introduced by: André Loranger, Chief Statistician of Canada

9:45 - 10:00

Session 1: The Canadian Wastewater Survey: A New Public Health Tool for Monitoring Infectious Diseases

Speaker: Dr. Natalie Knox (Director, Bacterial Pathogens, AMR, and Wastewater Division, Public Health Agency of Canada)

Description: Dr. Knox will discuss the Public Health Agency of Canada and Statistics Canada’s partnership to monitor infectious diseases through the Canadian Wastewater Survey and how it is being expanded to address existing and future public health threats such as Antimicrobial Resistance (AMR).

10:00 - 10:15

Session 2: Medical Examiners and Coroners: An Underutilized Source of Data Amidst the Opioid Crisis and Beyond

Speaker: Dr. Matthew Bowes (Chief Medical Examiner, Government of Nova Scotia)

Description: Dr. Bowes will describe medicolegal death investigation in Canada: how it is generally done, what kinds of deaths are investigated, how practices vary, and what kinds of data are available to researchers.

10:15 - 10:30

Open Q&A

Moderator: Josée Bégin (Assistant Chief Statistician, Statistics Canada)

10:30 - 11:00

Health break, networking, and poster/booth viewing

11:00 - 12:00

Plenary: The Population Health Approach

11:00 - 11:15

Part 1: Leveraging Statistics Canada, a Key Health Data Resource

Speaker: Dr. Jeff Latimer (Director General, Statistics Canada’s Health Statistics Branch)

Description: Statistics Canada is the country’s trusted source of timely and accurate information about the health of Canadians, determinants of health, and the use of health care resources. In this talk, Dr. Latimer will provide an overview of the breadth of data housed at Statistics Canada, how to access these data, and the services available to customize and link data for your research.

11:15 - 11:30

Part 2: Disaggregated Data: Progress and Reflections

Speaker: Dr. Gaya Jayaraman (Director General, Statistics Canada’s Justice, Demography, and Population Statistics Branch)

Description: Dr. Jayaraman will discuss Statistics Canada’s progress under the Disaggregated Data Action Plan (DDAP), which aims to increase and improve statistics on diverse populations and support more representative data collection methods across Statistics Canada.

Plenary Discussion: How Can Health Systems Use Disaggregated Data to Address Health Disparities?

11:30 - 11:35

Commentary: Dr. Kwame McKenzie (CEO, Wellesley Institute; Professor, University of Toronto) will share his insights on advancements and challenges related to race-based health data.

11:35 - 11:40

Commentary: Dr. Danièle Behn Smith (Deputy Provincial Health Officer of Indigenous Health, British Columbia Office of the Provincial Health Officer) will share her insights on advancements and challenges related to Indigenous health data.

11:40 - 12:00

Open Floor Discussion

Moderator: Josée Bégin (Assistant Chief Statistician, Statistics Canada)

12:00 - 1:00

Lunch, networking, and poster/booth viewing

1:00 - 2:30

Applying Insights to Reduce the Burden of Illness

1:00 - 1:20

Session 1: Modelling Dietary and Health Impacts of National Nutrition Policy

Speaker: Dr. Mary L’Abbé (Professor, University of Toronto, and Director, WHO Collaborating Centre on Nutrition Policy for Chronic Disease Prevention)

Description: Health Canada will require prepackaged food and beverages that exceed thresholds for sodium, sugar, or saturated fat to display a 'high in' nutrition symbol on the front of the package by January 2026. In this talk, Dr. L’Abbé will discuss how she used the Canadian Community Health Survey - Nutrition and the Survey of Household Spending linked to nutritional composition data to model the potential dietary and health impacts of these new labels. 

1:20 - 1:40

Session 2: Using Small-area Mapping of Preventable Cancers to Inform and Strengthen Cancer Prevention

Speaker: Dr. Nathalie Saint-Jacques (Senior Epidemiologist, Nova Scotia Health Cancer Care Program; Adjunct Professor, Dalhousie University; Associate Research Scholar, Dalhousie University Healthy Populations Institute)

Description: Dr. Saint-Jacques will discuss her research on small-area analysis of cancer incidence in relation to the social, material, and environmental conditions in which people live, demonstrating how a geographically focused approach can inform and strengthen equitable cancer prevention activities.

1:40 - 2:00

Session 3: Projecting Dementia Incidence: The Population Health Model for Dementia (POHEM-Dementia)

Speaker: Dr. Stacey Fisher (Post-doctoral Fellow, Ottawa Hospital Research Institute)

Description: Dr. Fisher will discuss a microsimulation model for dementia that was developed to investigate the contribution of modifiable risk factors to dementia incidence, and to evaluate potential intervention strategies and policy options.

2:00 - 2:30

Panel Discussion: Reducing the Burden of Illness in Canada: Barriers and Opportunities

Moderator: Michael Tjepkema, Assistant Director, Health Analysis Division, Statistics Canada

2:30 - 3:00

Health break, networking, and poster/booth viewing

3:00 - 4:15

Environment and Health (“One Health”)

3:00 - 3:30

Keynote: Getting Ahead of the Climate Change Curve: Science to Support Health Adaptation

Speaker: Dr. Peter Berry (Senior Policy Analyst and Science Advisor, Climate Change and Health Office, Health Canada)

Description: Dr. Berry will discuss the current science around climate change risks to health, vulnerabilities, and adaptation needs, with the hope of fostering future collaborations and innovative solutions.

Introduced by: Josée Bégin (Assistant Chief Statistician, Statistics Canada)

3:30 - 3:45

Session 1: Examining the Health Impacts of Extreme Heat: Future Temperature-related Excess Mortality and Morbidity in Canada

Speaker: Dr. Éric Lavigne (Epidemiologist, Health Canada; Adjunct Professor, University of Ottawa)

Description: Dr. Lavigne will present his work using time series analysis to estimate associations between daily temperatures and mortality/hospitalizations across Canada until 2099, providing insights into expected health outcomes across varying climate change and population growth scenarios.

3:45 - 4:00

Session 2: Use of Human Biomonitoring Data in Human Health Risk Assessments of Chemical Management Plan Substances

Speaker: Dr. Innocent Jayawardene (Scientific Evaluator and Chemist, Health Canada)

Description: Dr. Jayawardene will share highlights from a Health Canada study measuring 12 elements, including 5 rare earth metals, in whole blood samples using the Canadian Health Measures Survey (CHMS) biobank, to assess health risks of Chemicals Management Plan (CMP) substances.

4:00 - 4:15

Open Q&A

Moderator: Josée Bégin (Assistant Chief Statistician, Statistics Canada)

4:15 - 4:30 Closing Remarks: Looking Forward

Josée Bégin, Assistant Chief Statistician, Statistics Canada

4:30

Conference End