An Introduction to the Data Journey

Catalogue number: 892000062026001

Release date: July 9, 2026

In this video you will learn about the steps and activities in the data journey. The data journey represents the key stages of the data process. The journey is not necessarily linear. It is intended to represent the different steps and activities that could be undertaken to produce meaningful information from data. Not everyone who uses data will do all of these steps.

Data journey step

Foundation

Data competency

  • Data discovery
  • Data management and organization

Audience

Basic

Suggested prerequisites

N/A

Length

04:25

Cost

Free

Watch the video

An Introduction to the Data Journey - Transcript

Working with data can feel intimidating.

Often, the hardest part is not the analysis itself. It is knowing where to begin. You may be trying to answer a question, explore a new topic, or respond to a request, while also wondering whether you have the right data, how much you can trust it, and what to do first.

The data journey is meant to help with that.

It breaks data work into a series of practical stages, helping you move from a question, to analysis, to insight, and finally to communication.

The four steps are: define, find, and gather; explore, clean, and describe; analyze and model; and tell the story.

These steps represent key stages in working with data. But the journey is not always linear. In real work, you may move back and forth between stages. And not everyone will do every step themselves. For example, you might receive data that has already been gathered and cleaned, and begin at the analysis stage.

Step 1: Define, Find, and Gather

Every data journey starts with a need.

What question are you trying to answer? What issue are you trying to understand? What gap are you trying to fill?

Once the need is clear, the next step is to find the right data. That could mean locating a survey, a data table, a publication, or another trusted source. In some cases, the data you need may not exist yet. If that happens, you may need to think about how it could be gathered.

This first step matters because a vague question usually leads to vague results. A clear question gives direction to everything that follows.

Step 2: Explore, Clean, and Describe

Once you have the data, you need to understand it before you use it.

What do the variables mean? How is the data organized? Are there missing variables? Are there missing values, inconsistencies or errors? Are there limitations that could affect how the data should be interpreted?

This is the stage where you get to know the data. You may need to clean it before analysis, and you should document what you found and what changes were made. That documentation is important because it makes your work more transparent and easier for others to understand.

The goal of this step is simple: prepare data that is ready for analysis.

Step 3: Analyze and Model

This is where data begins to answer the question.

In this step, you use appropriate methods to identify patterns, compare groups, describe relationships, or draw conclusions. Sometimes the analysis is straightforward. Sometimes it is more advanced. In either case, the purpose is the same: to turn raw data into meaningful information.

This is the point where numbers begin to become insight.

Step 4: Tell the Story

Even strong analysis has limited value if people cannot understand what it means.

The final step is about communicating findings clearly, accurately, and responsibly. That might mean a research paper, a dashboard, an infographic, a presentation, or a briefing note.

A good data story explains the key message, gives the audience the context they need, and helps them understand why the findings matter. Good storytelling is about making evidence easier to interpret and use.

Statistics Canada's Data Journey offers a practical way to approach data with more structure and less uncertainty.

Not every journey looks the same. But with a clear process, data can begin to feel more approachable and easier to navigate.

Retail Commodity Survey: CVs for Total Sales (April 2026)

Retail Commodity Survey: CVs for Total Sales (April 2026)
Table summary
This table displays the results of Retail Commodity Survey: CVs for Total Sales (April 2026). The information is grouped by NAPCS-CANADA (appearing as row headers), and Month (appearing as column headers).
NAPCS-CANADAMonth
202603202604
Total commodities, retail trade commissions and miscellaneous services0.630.68
Retail Services (except commissions) [561]0.630.67
Food and beverages at retail [56111]0.380.37
Cannabis products, at retail [56113]0.000.00
Clothing at retail [56121]0.710.71
Jewellery and watches, luggage and briefcases, at retail [56123]2.131.95
Footwear at retail [56124]0.981.04
Home furniture, furnishings, housewares, appliances and electronics, at retail [56131]0.970.99
Sporting and leisure products (except publications, audio and video recordings, and game software), at retail [56141]3.032.80
Publications at retail [56142]6.647.68
Audio and video recordings, and game software, at retail [56143]2.869.93
Motor vehicles at retail [56151]2.182.29
Recreational vehicles at retail [56152]4.984.51
Motor vehicle parts, accessories and supplies, at retail [56153]1.631.53
Automotive and household fuels, at retail [56161]1.251.28
Home health products at retail [56171]2.532.47
Infant care, personal and beauty products, at retail [56172]3.943.26
Hardware, tools, renovation and lawn and garden products, at retail [56181]1.811.66
Miscellaneous products at retail [56191]2.662.61
Retail trade commissions [562]1.911.91

Labour Market Indicators – July 2026

In July 2026, questions measuring the Labour Market Indicators were added to the Labour Force Survey as a supplement.

Questionnaire flow within the collection application is controlled dynamically based on responses provided throughout the survey. Therefore, some respondents will not receive all questions, and there is a small chance that some households will not receive any questions at all. This is based on their answers to certain LFS questions.

Labour Market Indicators

ENTRY_Q01 / EQ 1 - From the following list, please select the household member that will be completing this questionnaire on behalf of the entire household.

CSE_Q01 / EQ 2 – What is the main reason you are self-employed in your main job?

  1. To have autonomy over and control over work hours, wage rate and location
  2. Unable to find work as an employee
  3. To earn more money than you would as an employee
  4. To engage in work that you are passionate about
  5.  Lost job as an employee
  6. To practice or master a new skill
  7. To work in your field of experience
  8. To join or take over a family business
  9. To achieve a better work-life balance
  10. To experience less stress or for health reasons
  11. Other

CSE_Q02 / EQ 3 – To what extent do you agree or disagree with the following statement?

In general, it is easy for you to find new clients in your main business.

  1. Strongly agree
  2. Agree
  3. Neither agree nor disagree
  4. Disagree
  5. Strongly disagree

CSE_Q03 / EQ 4 - What would you say is your plan with your main business over the next 12 months?

Do you plan to:

  1. Expand and hire more employees
  2. Expand without hiring more employees
  3. Keep things about the same
  4. Scale down the business
  5. Stop working or close the business

SEM_Q01 / EQ 5 – Excluding coverage by the province or other government insurance, are you covered by any of the following plans?

  1. Supplementary health care plan 
  2. Dental plan 
  3. Disability insurance
    OR
  4. None of the above

SEM_Q02 / EQ 6 – What is the source of your benefit plan or insurance coverage?

 Spouse’s, partner’s or family members’ planPlan purchased independently or as a self-employed personPlan purchased through an associationThrough an employer at another paid jobOther
Supplementary health care plan     
Dental plan     
Disability insurance     

SEM_Q03 / EQ7 – What is the main reason why you are not covered by a health, dental or disability plan?

  1. Not good value for money
  2. Cannot afford at this moment
  3. Keep putting it off
  4. Did not think about it
  5. Other

Quarterly Survey of Telecommunications

Purpose

This survey collects quarterly financial and operating data for the statistical measurement and analysis of the telecommunications sub-sector. These data will be aggregated to produce national estimates of activity by industry.

Authority

Filed under the authority of the Broadcasting Act, the Telecommunications Act and the Statistics Act

Filed in Confidence

Assistance

Frequently Asked Questions (FAQ) and glossary are posted on the CRTC Data Collection website. Please review these and other supporting documentation at:

Data Collection - News

If you need to get in touch with one of our Data Collection Analysts, please phone 1-866-845-6036 or email:

cd-dc@crtc.gc.ca

Reporting instructions

Forms should be submitted using the CRTC Data Collection System (DCS).

Accessing DCS

Survey Details can be found at:

Quarterly Survey
 

 

Eh Sayers Episode 33 - Orange Skies, Smoky Air and Billions at Risk of Going Up in Smoke

Release date: July 6, 2026

Catalogue number: 45200003
ISSN: 2816-2250

Orange Skies, Smoky Air and Billions at Risk of Going Up in Smoke

Listen to "Eh Sayers" on:

Orange skies are only part of the story. Wildfires are also reshaping Canada's economy. How are these impacts measured, and what do they reveal about the future? Experts Mike Flannigan and Mark Brown explain.

Host

Max Zimmerman

Guests

Mark Brown, Mike Flannigan

Listen to audio

Eh Sayers Episode 33 - Orange Skies, Smoky Air and Billions at Risk of Going Up in Smoke - Transcript

Max: Welcome to Eh Sayers, a podcast by Statistics Canada where we meet the people behind the data and explore the stories behind the numbers. I'm your host, Max Zimmerman

I'll be honest, as a city dweller, wildfires just aren't on my day-to-day radar. But to date, 2023 was Canada's most destructive wildfire season yet. Over 6,000 wildfires burned at least 15 million hectares of land during 2023. For those of you like me, having a hard time visualizing what 15 million hectares of land looks like, that's an area of destruction larger than England.

We see these apocalyptic scenes online, but when we keep scrolling on our socials, life for us urbanites, it just keeps on going, and that's been the case as far back as I can remember. But in recent years, even our biggest cities have started to feel some of the real tangible impacts of these wildfires.

For several summers in a row now, smoky air and orange skies have descended upon Southeast Ontario, impacting visibility and causing air quality advisories due to some of the worst air quality in the world at the time. What used to be considered a western Canadian problem only, now has researchers convinced that wildfires are an issue that faces the entire country.

So far this year, wildfire season in Canada has started off thankfully pretty slow. But experts like those you're about to hear from, they're not breathing any sighs of relief just yet. Let's meet them now and find out what the data says about what we can expect for the rest of the summer and into the future

Mike: My name's Mike Flannigan, and I have many titles. Uh, I'm a research chair, I'm a professor, wildland fire. I'm a fire guy is, is what I like. I'm at, uh, based in Kamloops, British Columbia, and it's the traditional and unceded territory of the Secwépemc and Tk'emlúps people.

Mark: My name is Mark Brown, and I, I'm a principal researcher in the Economic Social Analysis and Modeling Division here at StatCan.

Max: So Mike, maybe I'll start with you. Can you set the scene for us? I know that 2023 was a record-breaking year in terms of wildfires. What have we been seeing since then?

Mike: So 2023 was record-smashing. Uh, about 4% of our forest burned, 15 million hectares. It sounds like a lot, but it's like, uh, seven times the size of Lake Ontario.

It-it's just a huge area and completely unexpected. And followed by 2024, which was also a very active year, though it didn't start active. It was kind of late, mid-season, late season. And then 2025 came along, and it started really fast, was giving 2023 a run for its money, finished in second place. Over the three years, we burned about 8% of our forest in Canada.

So to me, 2026 is a litmus test, 'cause I always used to say, "Ah, there'll be cold, wet years and hot, dry years," but maybe we're changing, and we're going to see active fire every year. Um, so 2026 is this litmus test, so, uh, gonna be interesting to see what develops this year.

Max: And how is it starting so far?

Mike: It's actually starting quite slow. It's more like a 2024 year, though there are indicators that suggest it may be an active year, things like, uh, abnormally dry conditions or drought in parts of Canada, though things improved a bit. Also, the summer season forecast, yes, you have to take with a lot of salt, um, suggests it's gonna be a hot summer, and the precipitation forecast suggests it's gonna be dry, especially in western Canada, and that's a recipe for wildfire.

But especially the precipitation forecast can be n-not completely reliable. And the disclaimer is no one knows the future. It will depend on the day-to-day weather we see and how many ignitions we see.

Max: And Mark, I think this is a good time to get you in here. Maybe you can speak to us a bit about the economic impacts that you and your team are seeing here at StatCan with the work that you're doing.

Because when I think of measuring the cost of a fire, I have this image in my head of a researcher or a scientist in, like, a white trench coat on the ground just counting all the buildings that have fallen and sort of adding up a total dollar value and then putting a cost on it. But something tells me that it's a bit more complicated than that.

Mark: Yeah, in, in terms of trying to sort of tease out the numbers from our statistics, um, there's basically-- it's, it's kind of a two-step process. The one is to say, is to try to figure out, well, what were the areas actually impacted? So that's where the fire went through or where there was e-evacuations. So we can use, you know, there's remote sensed information on where the fires burned areas were, w- that we use, and then we also use information on what the geographic areas of where, where the evacuations were from multiple different sources.

So we put those together, and you basically have a map of where the, where the fires happened and, and, and, and also where the evacuations were. And it's kind of like taking tracing paper and taking a, a grid, one kilometer one kilometer sort of sticking on top of where those fires are. And you're kind of like tracing in where the fires overlap with those grid squares.

And we've been able to measure, have an estimate what economic output, GDP happens in those squares.

Max: Interesting.

Mark: So you take the fire, you lay it on top of the squares, say, "Oh, well those are the ones where there's an overlap," and you add it up. And so I talk about Edson, Alberta, you add up how much of those grid squares in, in Edson producing GDP had a wildfire come through or, or were, or were evacuated.

And the same thing across the country through the fire season, and that's how we come up with, with, with those numbers.

Max: Okay, yeah, that's really interesting. So yeah, there's the cost of the actual damage to the physical buildings and stuff, and then there's also the exposure to the GDP element. Mike, how do fires start?

I know there's the natural lightning, of course, but then there's also human-caused fires as well. Could you talk a bit about those and maybe what percentage of our fires are human-caused versus natural?

Mike: So in Canada, just over half our fires are started by lightning, but they're responsible for over ninety percent of the area burned.

And there's a seasonal component. Most of the spring fires are human-caused, and, and most of the summer fires are lightning-caused. Um, human causes, these are primarily accidental. There, there are, are arson fires, unfortunately, but they're a really small percent. Most of them, you know, parking your, your vehicle with a hot muffler over dry grass starts a fire.

Campfires, people burn fields, that accidentally starts fires sometimes. Uh, power lines, railways, there's a number of ways that people and our infrastructure start fires across the landscape.

Max: And we're starting to see some of these residual effects of the wildfires, even in our big cities. I'm in Ottawa, and we, for the past few summers, have seen orange skies, and we've smelt that smoky campfire air coming from those wildfires.

You know, I'm thirty-three now, and I don't remember this ever being an issue. So is this something that experts are expecting to continue to get worse? Are we in for more orange skies and, and more of that smoky air going forward?

Mike: So the short answer is yes, okay? And, you know, that's the thing about fire is yes, you know, I mentioned Lytton and Jasper and Fort McMurray.

Unfortunately, you know, the town or part of the community was destroyed by fire. But if you live in Ottawa like you do, or Toronto, New York, you know, it's unlikely your place is gonna burn down from a wildland fire. However, fire can travel long distances, so a fire a thousand kilometers away can make your life miserable for weeks.

And the more we know about smoke, the more we realize how bad it is for human health. Global studies suggest 1.5 million people die prematurely every year due to wildland fire smoke. That's just, you know, a horrendous number. And, you know, in Canada, we've seen almost a quadrupling of area burn since the 1970s, and my colleagues and I attribute this largely, not solely, to human-caused climate change.

The warmer we get, the more fire we see. So we expect, as the Earth continues to warm, we expect to see more and more fire in Canada and other places around the globe. So yeah, you're gonna see more smoke, uh, unfortunately. So the bottom line is we have to learn to live with fire and smoke

Max: You mentioned wind as well, and I was gonna ask you, is that, like, a huge component in terms of why the larger cities are experiencing that?

Like, is it necessarily indicative of a huge wildfire season to experience those things down south? Or is it could just be, oh, it's actually, uh, not that bad of a wildfire season, but if the wind is blowing a certain way, we're gonna feel those effects?

Mike: Well, it's a combination of both. The more fire you have, the more smoke you have.

But of course, it does depend on wind direction. So if you have south winds, the smoke's gonna blow over the Arctic or over Greenland or even to Europe, and that's happened on many occasions. So it's, it depends is the answer, which isn't probably all that, uh, comforting, but that's, that's the truth. It depends.

Max: Mark, I wanna turn back to you now. Your focus is obviously more on the data and economic aspects of the wildfires. I just wanna know, how does data actually help us combat wildfires? You know, data can't be used to put out a fire as far as I know. So how do we actually use it to make a difference?

Mark: We're filling in a lot of blanks here.

Before we, we could do this work, we didn't really know how much GDP output was potentially impacted by, by these fires.

Max: Mm-hmm.

Mark: So, um, governments have to make decisions about how they allocate resources, and so it's, it-- this builds a picture about what, how important the potential impacts of these wildfires are and, and how much you have to think about putting effort into mitigating those, those potential impacts o-over time.

You know, if you, if you're gonna adapt to something new, you have to understand the basic scope of, of what the problem is, and I think this, these types of data help, help us to understand it and help us to think about into the future because you can think about, well, we have climate models that can, can help us understand how much more frequent these fires might be.

Um, and therefore, you can begin to think about what the risks are going down the road and how much effort you might need to put into actually mitigating those risks

Max: Yeah, fair enough. I mean, data is invaluable in the sense that we can't solve a problem that we don't understand, right? Precisely. So we also know that the impacts of wildfires are much more pronounced in certain regions more than others.

Can you paint us a picture of which areas are affected the most, and is that changing at all?

Mark: I was just reading, uh, an email I got from my insurer.

Max: Okay.

Mark: Talking about wildfires, you know, sort of highlighting the risks, you, you know, of, of those wildfires. And they were talking about the fact that the world has been changing, and it used to be a Western Canada thing, wildfires, but it's becoming more widespread now.

As I mentioned at, at the start, this was not something you thought much about in the maritime provinces, and now you do. And so increasingly I think of this as a Canada-wide issue just because it is.

Max: So we've been talking a lot about economics, and I think it's really important to acknowledge that economics are not the only types of impacts felt in the wake of these wildfires.

People are forced to evacuate their homes. They may lose priceless personal possessions, sometimes their homes and, uh, you know, whole communities in some cases in, in very severe, severe fires. Yeah. You know, I understand that this might not be either of your areas of expertise, but just on a human level, I think it's important to acknowledge that there are many ways in which these wildfires are devastating that are not measurable in dollars and cents.

Mike: I'm a physical scientist, so I study the physical side. But if you're evacuated, if you've lost your home, that's obviously a stressful situation. It, it affects indigenous communities, you know, disproportionately because many of them are remote northern communities, and that's where fire seems to, to dominate.

So the impacts are real and long-lasting, and that an area that needs study

Mark: Absolutely. I mean, you, uh, you live your, your daily life, your daily routine, and you don't expect to all of a sudden have to pick up and leave your house within 30 minutes and head off to some shelter somewhere or some town-

Mike: Mm-hmm

Mark: down the road, and many Canadians have had to experience that over the past few years. Like in, in 2023, somewhere in the vicinity of 200,000 people had to evacuate their homes. Wow. Um, that's a lot of people, and it's obviously very disruptive to people's lives. I mean, I had cousins of mine in Halifax lived in the same, very near where the fire was in Tantallon.

They were away at their time, but their daughter had to drive through the fire to- Oh, wow ... to get out. So, you know, a lot of people have these stories. It's pretty intense.

Mike: Fire is a natural element of our, of our forests in Canada, and when and where possible, we should let Mother Nature play its natural role.

Of course, you know, if a fire starts two kilometers from your community, that's, we, we obviously can't let that fire burn into the community. But, you know, if it's in a remote area, and we are starting to see more and more fire management agencies allow fire to play their natural role, which at times is beneficial.

You know, a lot, fires aren't necessarily, you know, bad, okay? They're just natural, and our forests have learned to survive and thrive in a regime of semi-regular stand replacing, stand renewing high intensity fire. They, they're built for it.

Max: So what are some of the benefits of letting wildfires burn in areas where they're not necessarily gonna be a danger to human beings?

Mike: So fire is a great agent knocking down pests, you know, like spru- spud worm in these, mountain pine beetle, which devastated millions of hectares in central BC. Fire is a great agent knocking it down. It resets the ecological clock. Uh, you have pioneer species come in, and as I say, you know, our forests survive and thrive in a regime of sometimes, you know, especially the boreal stand replacing fires.

So i- it's just the, the natural role fire plays in our ecosystem. Uh, but the problem is, as we see more and more fire and more and more intense and severe fire, regeneration may be a problem as, you know, especially as we see, you know, things like drought accompanying fire where it's gonna be hard to regenerate.

So we're, we're starting to see the potential development of wastelands or grasslands, uh, that used to be forest. So that, that is a concern.

Max: Do you notice an issue fatigue when it comes to talking about wildfires? We see horrific scenes of these blazes online, but I just feel kinda helpless, and so I click away.

I'm wondering, like, you know, what are some of the real tangible things that we as Canadians can do to help with wildfires apart from becoming a volunteer firefighter?

Mike: So yeah, there's lots of things we can do. First, if you live in a fire-prone place, have a go bag, all right? So that if you have to evacuate, I hope you never do, but you're prepared for it.

Second, programs like FireSmart, uh, have seven principles, and some of these help your home and your community be better pr- protected from wildfire. A lot of it's common sense. Uh, building materials should be non-flammable. That zone around your house, that-- especially that zero to one point five meter, needs to be free of flammable material.

'Cause, you know, what the public probably doesn't understand is that most fires enter, enters the community through a rain of embers, little burning bits of twigs, bark, sometimes even pine cones, that can be carried by the wind kilometers, okay? Uh, West Kelowna fire, McDougall Creek, Jump Lake, Okanagan. So it probably carried burning bits of stuff over three kilometers.

And if it lands on something flammable, like mulch right beside your house, it catches fire and then your house burns down. So check FireSmart out. You put it in your browser, away we go. Also, if you see a fire, report it right away. You know, different jurisdictions have different phone numbers. Some, like BC and Alberta, have apps.

Um, and with-- if you're in doubt, call nine one one, 'cause the sooner we're aware of the fire, then we can deal responsibly with that fire. So these are some of the things you can do. The smoke issue. Uh, so even if you're not in a fire-prone place, everywhere in Canada is prone to smoke at time to time. So, uh, air purifiers in your house.

Uh, avoid vigorous exercise outside. If it's really bad, N95 masks that we wore for COVID were actually developed for wildland fire smoke, so wear a mask, all right? These are things we can do to protect our health.

Max: And Mark, are there any misconceptions around wildfires that you want our listeners to know about?

Mark: The one thing that kind of surprised me a little bit about the numbers is when we looked at the national scale, I saw like less than 1% of GDP. I, you know, naively maybe thought it was going to be higher. Um, but, uh, but at the same time, it's like Toronto wasn't being impacted by the wildfires. Good point.

But at the same time, you know, as, as I said before, when you zero in on particular regions, you see really, really big impacts. So, you know, I think that's sort of-- I'm not sure if that's a misconception per se, but it's sort of just highlighting to me just how lo- ob-obviously localized these, these, these impacts can be.

Max: Mike, I'll pose the same question to you. Are there any misconceptions that you can think of?

Mike: Well, I think we kind of covered a lot of them already. The fire is bad. You know, that's a misconception. Fire is natural. It can have significant impacts, absolutely. Um, fire, how fires enter communities, um, you know, is through that, typically through that rain of burning bits, embers, um- The idea that we can put out all the fires all the time, and that's just not the case.

You know, but, you know, if you got 95% on a test, you think you're doing really well, and that's what, you know, most fire management agencies put out 95% of the fires when they're really small. Uh, but, you know, as mentioned, the tail wags the dog in the fire world, and, you know, 3% of the fires burn most of our area burned and cause most of our impacts.

Max: And Mark, in your opinion, why do you think that these findings, like the research matters? I know we've touched on that al- al- already, but just, you know, on a macro level.

Mark: We live our lives in our local communities and our towns and cities, and a lot of the processes we're exposed to, the phenomena are, are, are very localized in, in nature.

And I think the wildfires are, are a case in point. But a lot of the change we experience are very much about what's happening in our place, in our, in our backyard in a, in a way. And I think this sort of work kind of highlights that, but also highlights the general need, I think, to continue to push to get more and more information that's more local in nature so that people can make those, these local decisions about what's best for them, what's best for their community.

Max: I think just to that point, I mean, this is definitely not your area of expertise in terms of demography, but, like, is there an anticipation if things, you know, continue to get worse in, in those regions that are most affected of, of out migration just in terms of wanting to avoid these fires altogether?

And then how does that affect these communities, right? People don't want to stay. Yeah.

Mark: That's potentially the case. I think there's some research out there where people are trying to see, you know, like, I think there's research in the US trying to see what happens to these places when wildfires come through.

Do businesses reinvest? Do people leave? Mm-hmm. Um, because there is concern about whether insurance rates are gonna go up, where you can get insurance, and, um, so if the risk is high enough. Um, so yeah. And so there is a long-term risk that if this becomes sort of an endemic problem and it's gonna continue to be there, that people may just, may begin to think, think about moving elsewhere or not moving in.

Max: Mm-hmm.

Mark: So, um, but then again, there are places like Los Angeles that have been in, that have been exposed to wildfires for since their start. That's right. People are still there, so.

Max: Yeah. Good point. Are researchers such as yourself here at StatCan gathering data on other areas of concern apart from wildfires?

I imagine measuring GDP exposure could apply to a wide range of natural disasters.

Mark: Absolutely. I mean, uh, we've already done some work looking at, at flooding and, uh, areas impacted by flooding. If you think back to, uh, the BC floods from, from a few years ago, we have a paper out that sort of looks at how much GDP was exposed to those floods.

And so, uh, in, in some ways that was sort of a, a starting point for thinking about the wildfire work.

Mike: Okay.

Mark: Um, but also thinking forward, um, it's-- y-you can imagine we can think about wildfires, we can think about flooding, we can think about, um, uh, sea level rise or droughts, or a number of different cases where the climate might be changing.

Um, and then asking, well, uh, where we think that there, that the change is, is most acute, um, what is hap- what is the output in, in, in, in those particular places?

Max: And in your opinions, what's the biggest story here? What do you want listeners to take away with them from this conversation?

Mike: We're seeing more fire, more impactful fire, higher intensity fire, more severe fire because of human-caused climate change.

I can't be any clearer than that, okay? Uh, it's not responsible for all of it, but studies suggest most of the increases we see are because we're a warmer world, and that's primarily because of humans and their activities, and in particular, the burning of fossil fuels. We, we have to get off fossil fuels.

There's no way, there's no way, way around stopping this warming if we don't

Mark: It's on our agenda to continue to build these data to move beyond GDP to other types of measures. And, and what's, what I think is really, um, good about that is that you begin to almost have this sort of multiplying effect that you have a-- you have, you know what GDP is, you know who's living there, you know what their demographics is or how much they, you know, maybe it's income or, or whatever it might be.

And then you also know all these various physical characteristics of those places and how that might be changing.

Mike: Mm-hmm.

Mark: And to begin to actually build this picture, um, and a picture that might be changing through time and one that, um, I think will be relevant to people as, as the, the world is always changing, be it climate or be it economy or, or, or whatever.

And I think it puts people in a better position, decision-makers, um, to, to use that information, I hope, to make better decisions.

Max: And Mike, if listeners would like to learn more about wildfires, your work, or anything else that you might find important, where should they go?

Mike: So you can put my name in your browser and you'll, you'll hit lots of stuff, but, uh, try TRU Wildfire.

Uh, we, we have a great fire program here. We have diplomas now, certificates, and we're working on trying to get a bachelor's of fire, um, which will be the first in Canada. So check out our website, TRU Wildfire. I also do a fire weather outlook, a five to ten day outlook to say, "Hey, is some extreme fire weather coming?

Where is it coming?" Uh, so kind of trying to build that first early warning system. And so just put that in your browser, wildfire outlook TRU, and it should pop up, and I'm doing the forecast tomorrow. So, uh, you know, so you get a new one tomorrow.

Max: And if you'd like to learn more about the work that Mark Brown and his team are doing here at StatCan, there's an article titled Estimates of Gross Domestic Product in Wildfire Affected Areas during the two thousand and twenty-three and two thousand and twenty-four wildfire seasons.

You can find that and more on StatCan Plus on the StatCan website. Thank you so much, Mike. Thanks for your time and your expertise.

Mike: Enjoyed the conversation.

Max: Thank you so much, Mark. Thanks for coming in and, um, explaining everything, and thanks for your time and your expertise today.

Mark: My pleasure.

Max: You've been listening to Eh Sayers. Thanks to our guests, Mark Brown and Mike Flanagan. If you'd like to learn more about wildfires, please check out the link in our show notes where you can find references for everything that was discussed in today's episode. You can find this show wherever you get your podcasts.

There, you can also find a French version of our show called Écoutez Bien. If you like this show, please rate, review, and subscribe. And as always, thanks for listening

Canadian Community Health Survey 2026 – Rapid Response – Fertility

Getting started

Why are we conducting this survey?

Statistics Canada is conducting a survey about the health and well-being of Canadians. The Canadian Community Health Survey asks people from all provinces and territories about their health status, factors that affect their health and their use of health care services.

One of the main goals of the survey is to gather information to help improve health programs and services provided in your region.

Your information may also be used by Statistics Canada for other statistical and research purposes.

Although voluntary, your participation is important so that the information collected is as accurate and complete as possible.

Other important information

Authorization and confidentiality

Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. Your information will be kept strictly confidential.

Record linkages

To enhance the data from this survey and to reduce the response burden, Statistics Canada will combine the information you provide with information from the tax data of all members of your household. Statistics Canada and your provincial or territorial ministry of health, or the Institut de la statistique du Québec for Quebec respondents, may also combine the information you provide with other surveys or administrative sources.

Statistics Canada may also combine the information you provide with other survey or administrative data sources.

Contact us if you have any questions or concerns about record linkage:

EmailInfostats

Telephone: 1-877-949-9492

Mail:

Chief Statistician of Canada
Statistics Canada
Attention of Director, Centre for Population Health Data
150 Tunney's Pasture Driveway
Ottawa, Ontario K1A 0T6

Relationship status

Do you have a spouse or long-term partner?

  • Yes
  • No

What was your partner's sex at birth?

Sex refers to sex assigned at birth.

  • Male
  • Female

Fertility

The next few questions are about fertility, infertility, the chances of becoming pregnant, and the use of medical services to help people to conceive children.

In the time that you and your partner have been together, how many children have you or your partner given birth to?

Exclude stillbirths and current pregnancy.

  • Number of children
    • 0
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • 12
    • More than 12

What was the longest amount of time you and your partner actively tried to become pregnant before successfully conceiving?

Please enter the duration in months or years. If you have tried to conceive more than once, please refer to the longest attempt.

If you never actively tried to become pregnant, please enter "0".

  • Duration
  • Months or years
    • Months
    • Years

Is your partner currently pregnant?

  • Yes
  • No

In the past 12 months, did you or your partner become pregnant?

  • Yes
  • No

In the past 12 months, have you or your partner used any birth control methods?

e.g., condoms, birth control pills, intra-uterine device (IUD), the withdrawal method, and other birth control methods

  • Yes
  • No

Given that you or your partner have not used a birth control method in the past 12 months, which of the following best describes your situation?

Would you say:

  • You are trying to conceive a child
  • You have been told by a medical professional that you or your partner has a medical condition that makes it unlikely for you as a couple to have children
  • You or your partner reached menopause
  • You or your partner has had a vasectomy, a hysterectomy or a tubal ligation, also known as "having your tubes tied"
  • Other

Which one of you has a medical condition that makes it unlikely for you as a couple to have children?

Select all that apply.

  • You
  • Your partner

Sometimes people have difficulty in conceiving a child and need help such as getting medical advice, fertility counselling and testing, fertility drugs or medical procedures to become pregnant.

In the time that you and your partner have been together, have you or your partner encountered problems in conceiving a child?

  • Yes
  • No
  • Never tried to conceive a child

Have you or your partner seen a doctor or other health care provider about this?

Include professionals you visited for the purpose of assistance or advice to help conceive a child.

  • Yes
  • No

What are the reasons you or your partner have not seen a doctor or other health care provider about this?

Select all that apply.

Would you say:

  • Lack of time
  • Cost
  • Feelings of fear or discomfort
  • There are no health care providers in the area
  • Other

While you and your partner were trying to conceive a child, did you use any of the following methods?

Select all that apply.

  • Techniques to track menstrual cycle and ovulation
    e.g., period-tracking mobile applications, ovulation predictor tests
  • Fertility enhancing drugs prescribed by a doctor
    e.g., clomiphene citrate, also known as clomidTM, letrozole
  • Assisted reproductive technology
    e.g., in-vitro fertilization (IVF), intra-uterine insemination (IUI), artificial insemination
  • Other medical treatment
    OR
  • None of the above

In the time that you and your partner have been together, have you and your partner ever tried to conceive a child over a period of at least 12 consecutive months without becoming pregnant?

Include any pregnancies that occurred, even if they did not result in a live birth, such as a miscarriage or stillbirth.

  • Yes
  • No

Monthly Survey of Food Services and Drinking Places: CVs for Total Sales by Geography - April 2026

CVs for Total sales by geography
GeographyMonth
202504202505202506202507202508202509202510202511202512202601202602202603202604
percentage
Canada0.130.150.050.050.060.060.080.070.090.120.100.110.18
Newfoundland and Labrador0.70.460.260.200.200.280.310.320.450.530.460.690.89
Prince Edward Island0.460.570.390.40.340.450.591.171.171.701.441.241.77
Nova Scotia0.640.430.200.170.190.240.250.600.430.380.360.840.69
New Brunswick0.390.330.240.190.210.350.390.820.360.470.411.040.75
Quebec0.490.220.080.080.170.150.270.170.180.280.240.260.33
Ontario0.190.330.090.070.090.100.130.120.160.200.160.160.22
Manitoba0.340.410.240.230.220.340.370.590.520.690.610.831.02
Saskatchewan0.410.360.390.540.260.400.350.690.460.531.111.301.69
Alberta0.320.320.150.190.160.160.170.200.230.320.210.280.57
British Columbia0.160.190.100.160.120.120.130.170.190.250.200.260.41
Yukon Territory0.981.200.911.031.071.321.642.062.182.842.742.753.68
Northwest Territories2.1716.362.511.181.291.171.292.172.342.842.602.6313.55
Nunavut62.264.172.142.6747.682.722.4064.641.902.852.593.883.73

Request for information — Society and community

Under the authority of the Statistics Act, Statistics Canada is hereby requesting the following information, which will be used solely for statistical and research purposes and will be protected in accordance with the provisions of the Statistics Act and any other applicable law. This is a mandatory request for data.

Canadian military experience

Canadian Armed Forces personnel file

What information is being requested?

Statistics Canada is requesting employment history and occupational data on a more frequent basis including additional information on those who have served or are currently serving in the Canadian Armed Forces, who were enrolled as of January 1, 1972 or after.

What personal information is included in this request?

This request includes expanded employment equity information, if available, to complement information already held by Statistics Canada dating back to 1972 which includes personal information such as the members name, sex, gender, date of birth, social insurance number, address and contact information which are required to perform data linkages, for statistical purposes only. Once the data are linked, the personal identifiers will be replaced by an anonymized person key.

What years of data will be requested?

Statistics Canada will request the information on a more frequent (annual) and ongoing basis.

From whom will the information be requested?

This information is being requested from the Department of National Defence.

Why is this information being requested?

Statistics Canada requires this information to create and publish accurate and up-to-date statistics on the number of Canadians who have previously served or are currently serving in the Canadian Armed Forces (CAF), and to provide additional information on their sociodemographic and labour characteristics. These statistics will be used to help better serve this population by informing policies and programs administered by Veterans Affairs Canada (VAC), the Department of National Defence (DND), and other Veteran support organizations. Statistics Canada requests this information so that these policies and programs can be adjusted to meet the needs of Canadians.

Additionally, the information will be used to support the Military and Veteran Status file (MVSF) for validation activities related to the Census of Population and as a sample frame for Veteran and military personnel surveys.

Statistics Canada may also use the information for other statistical and research purposes.

Why were these organizations selected as data providers?

The Department of National Defense is responsible for collecting and maintaining up-to-date data on military personnel enrolled in the CAF.

When will this information be requested?

June 2026

What Statistics Canada programs will primarily use these data?

When was this request published?

June 16, 2026