| Province of residence | Unweighted | Weighted |
|---|---|---|
| Percentage | ||
| Newfoundland and Labrador | 21.0 | 19.2 |
| Prince Edward Island | 20.2 | 18.5 |
| Nova Scotia | 27.5 | 24.7 |
| New Brunswick | 26.0 | 22.5 |
| Quebec | 30.9 | 27.4 |
| Ontario | 28.0 | 26.1 |
| Manitoba | 28.9 | 25.5 |
| Saskatchewan | 27.8 | 25.0 |
| Alberta | 25.3 | 24.0 |
| British Columbia | 30.5 | 29.2 |
| Canada | 27.8 | 26.5 |
Release date: November 22, 2022
Catalogue number: 45200003
ISSN: 2816-2250
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Canada is facing both a climate crisis and a housing crisis, and they are interconnected.
Choices we make about our homes impact the environment: their location and how much we need to use a car to get around, the heat source that they use, the materials used in their construction.
At the same time, the climate impacts our homes: when severe weather strikes and causes damage to our homes, we have no choice but to rebuild, and even if we escape unscathed, we still have to decide how much to change our lifestyles to adapt to a changing climate.
Andrew DeFazio, CMHC Climate Change Advisor, joins us to explore how we can climate-proof our housing strategy and home-proof our climate strategy.
Tegan Bridge
Andrew DeFazio
Tegan: Welcome to Eh Sayers, a podcast from Statistics Canada, where we meet the people behind the data and explore the stories behind the numbers. I'm your host, Tegan Bridge.
It's fall: the season of knitted sweaters and pumpkin spice. Where we must ask ourselves the question, how much giant scarf is too much giant scarf? As the leaves turn and fall and the temperature drops, my household's battle over the thermostat begins. My husband is a walking furnace and I am not. So, one of us wants the temperature to be just a smidge higher than the other. We weigh arguments for different temperatures: mornings are harder if you have to get out of a warm bed into a freezing cold room versus this is why we own giant sweaters and extra-thick socks.
But with our choices, to raise the thermostat or to do some DIY window insulation or to invest in some energy-friendly renovations, it's not just our wallets that are impacted. It's also the climate. We're just one household, so our choices may seem small, but there are millions like us across the country—there were over 10 million families counted in the 2021 census. What impact do we and our homes have on the environment?
Let's ask an expert, shall we?
Andrew: Hi, I'm Andrew DeFazio and I work for Canada Mortgage and Housing Corporation as an advisor in CMHC's Climate Change Office.
Tegan: How long has CMHC had a climate change office and what kind of work do you do?
Andrew: The Climate change office was fully staffed up in 2020, and it was some deliberate actions taken by our management to realize the importance of climate on housing and to recognize that CMHC has a role to play in the housing system.
It's our aspiration that by 2030 everyone in Canada has a home that they can afford and that meets their needs. And with climate change this becomes even more of a focus. The Climate Change Office, what we're trying to do here is we're trying to have an outcome on the housing system so that the housing system will support sustainability and stability.
Tegan: According to the 2021 census, 1 in 10 households were in core housing need, meaning that they live in an unsuitable, inadequate or unaffordable dwelling and cannot afford alternative housing in their community.
Andrew, you just mentioned CMHC's goal to have everyone in Canada in housing that they can afford by 2030. Could you talk about the difference between available housing and affordable housing?
Andrew: Sure. When we want look at affordability, you need to take a look at the existing stock and what type of impact does it have on people's incomes to live in the existing stock.
The other element is the stock that we need. And there's been a lot of focus on that we don't have the stock needed to reach levels of affordability that we would've seen in the past. So, in thinking of that, one of the main challenges that the housing system is facing is how do we get units into the market, find places for people to live that meets their needs.
We've done some research on that and used a lot of data to come up with what we feel is the number of units that will bring housing markets back into what we would view as affordable. When you think and when you look at the system and what's going on, if we think about from now until 2030, we project out that there'll be 2.3 million units that are created. So that would take the housing stock to 19 million units. That won't be enough. There will need to be more. There will need to be another 3.5 million added on to bring the total stock up to 22 million.
And another element that's important there around affordability: there'll be a range of housing that's needed from single detached all the way to rental. And that's, I think, an area that's important to focus on is rental. Because rental brings in a lot of interesting factors that help with affordability. But it also helps with being climate friendly because you can get density. So, for us it's a matter of how can the supply start to increase in Canada so that you can have more balance and more affordability for individuals living in Canada.
Tegan: The 2021 Census found that 17% of people living in Canada were in a household that spent 30% or more of its income on shelter costs, or said another way, they lived in unaffordable housing.
How do the climate crisis and the housing crisis affect each other?
Andrew: I think it's first important to understand that we know that housing emits greenhouse gases which creates pollution. This happens through a few ways. It happens through the appliances, the heat source that you use in your home, your everyday living. It also contributes to when you think about it, the materials that go into producing your home. So, when you're building that home, that in itself, those materials, contribute to greenhouse gas emissions.
The other side of the equation is thinking about how climate impacts the home. So, you'll have severe weather events that will create challenges and issues for your home that will create damage. Which then in turn requires you to do renovations, to do adaptations, so that you can see how housing itself will contribute to greenhouse gas emissions. Climate will then impact housing. And it's just a circle that, that keeps going.
Tegan: I think that for a long time, we've imagined climate change as something's going to happen in the future. It's a future problem. It's a problem for our kids, for our grandkids. But that's not necessarily the case now, is it? What aspects of climate change would people in Canada have seen in their own lives so far?
Andrew: When we talk about climate change and the impact on housing there's two key concepts here. There's physical risk and there's transition risk.
It's easier to see the physical risk. So, we know with a warming planet that we're seeing a greater intensity of storms. We're seeing higher wind levels. We're experiencing drier dry seasons, which lead to wildfires. We're experiencing rapid snow melt, heavy rain, precipitation, that results in flooding. So, you can see the physical risk, you can see how that impacts and can damage housing.
The other component of it, that is not as easy to see, that we are starting to experience and that we will experience just as much in the future, is around what's called transition risk. So that's looking at the changes to the economy and the changes to lifestyles that'll be brought on by trying to have a lower carbon imprint. So, think of that as industries that are carbon intensive are going to have to adapt. What type of economic impact will that have? Think about where people want to live in seeing that there are areas in the country that are more susceptible to weather risks and decisions that'll be made to migrate to areas that still pose a risk because we're not immune from anywhere in the country to the risk. But that the likelihood and the intensity of those weather events will have a lesser impact.
So those two things together, you can see the transition we're starting to face, but it is something that just kind of creeps up on you. But in the future, that's what it's going to be about, the transition risk to a lower carbon footprint.
Tegan: Who's most vulnerable in this conversation?All Canadians aren't going to experience this the same way. You already brought up geography. What else is there to consider?
Andrew: When we talk about vulnerability, an area that often gets overlooked is the rental market. And when we think about who renters are, renters are more likely to be in core housing need than individual homeowners. Some stats that we have here would say that roughly 27% of renters are in core housing need. These individuals are in less in control of being able to make the changes to the dwellings that they live in. Those decisions are made by landlords and housing providers. But we can't lose sight of the fact that is a group that will be impacted more by climate change because the means to recover aren't there.
At CMHC last year we had an internal conference where we brought in some individuals in housing to speak about vulnerable groups and the impact on climate. And there was one of the speakers, her name was Estelle Le Roux Joky. And one of the things that she said that has stuck with me in my work and my thinking is that adapting to climate change can't be a luxury. We need to consider how vulnerable peoples will be impacted where they live. We can't allow energy efficiency and resiliency to become a luxury. Vulnerable groups can't afford it. But we have to find ways, through government, through the private sector, to ensure that that housing will be climate compatible in the future. Because the ability to recover… it's a lot harder.
Tegan: Renters are more likely than owners to be in core housing need. According to the 2021 census, 20% of renter households were in core housing need, compared to just 5% of owner households.
How does the existing housing stock rank in terms of resilience in the context of climate change?
Andrew: This is an area that needs to be further explored and understood. And this gets back to the, the reason why we have a mission on data. So, we've got housing data, you have climate data. But you don't have those two merging together.
Understanding how global warming will impact weather patterns is important. To do that, to build models, you need to have data on understanding what's the current stock. So, what's it made of? How resilient will it be? You then need to have data to understand the impact of water levels. And based on rainfall amounts, at what point will water levels breach rivers? Will they get to points where they'll impact, you know, a hundred meters from the shoreline? A kilometer? So that's an area where we feel that there is a gap. And that's where data needs to play that role to help educate all of the players in the system to what their risks are so that then they can make those decisions on how best do they adapt the housing that they live in to the risks that they face.
Tegan: How does the design of our built environment, the homes that we live in, our neighborhoods, the roads we drive on, how do these affect climate change?
Andrew: I like the way that you phrased that question because it brings out community. All those things together form a community and home is a part of that. So, when you think about what we need to do, we need to think about where we locate our homes to accommodate a lifestyle where we can be less carbon intensive. Meaning you're less reliant on cars, that you can walk to places, that you can… cycling, that you can use transit. You can also think about density into that equation. The denser the area, the less green space needs to be used. And then that in itself leads to better quality of life, better community living, mental health impacts. Think about as well to maintenance, for roads. All that gets reduced, and you create these communities where you can have affordability through density and housing that's climate compatible.
Tegan: Solving the climate crisis might require us to rethink some of what we take for granted. The COVID-19 pandemic forced us to rethink many assumptions about work, and many people found themselves teleworking to keep themselves and each other safe.
A StatCan report from 2021 explored the environmental implications of telework, asking the question, if all Canadians who usually work outside the home in jobs that can be done from home started to telework, public transit use, traffic congestion, and greenhouse gas emissions would likely fall. But by how much? The authors found that the resulting decline in commuting and use of public transit could reduce greenhouse gas emissions by about 8.6 megatonnes of carbon dioxide equivalent per year, or 11.0% of the direct emissions from transportation activities by households in 2015.If you're wondering how to visualize 8.6 megatonnes of carbon, it's the equivalent of the annual Co2 emissions from over 2.6 million passenger vehicles.
The climate crisis and the housing crisis are both obviously very complex. Is it possible to address both of these issues? Or do we have to choose to have either affordable housing or a viable climate, but you can't have both?
Andrew: You can have both. And this is where conventional thinking needs to be challenged. And I'm working off of a concept that our Chief Climate Officer, Steve Mennill, has been talking about. And it's this false dichotomy that they both oppose each other, that affordability and being climate compatible contradict each other.
First main point here is around density. So, when you have dense housing it can create affordability, but then also it has a positive impact on climate. You're getting people off of cars. They can have a lower carbon footprint because there's more amenities which you need to live… is all around you. So that's the first point around the false dichotomy, is that density is the key link to both.
The second key point here is around thinking about costs but at a point in time. We typically think about just what hits our wallet today. We're not thinking about the future. We tend to think about payback, like, how long will it take me to get my money back? But what we're not thinking about often is the life cycle cost. So, think of the cost to governments and to municipalities from climate change from not doing things that will have a positive impact on climate. Think about cost to healthcare for living in a world where you could have more health challenges as a result of a changing climate.
Think about the cost that you currently pay today for insurance without taking actions to either make your home more resilient or collectively as a society taking actions to stop with global warming and the impacts that that can have on catastrophic weather events. And thus, on damages to the place where you live.Think about as well lending rates and how that possibly could impact over time with climate change.
And then another element that I'm hoping is starting to develop is about the demand. And that as individuals become more educated and more aware, they will start to demand these types of products in their homes. And then that starts to get the ball rolling in what gets produced. So, what we may think is valuable today, to the next generation may not be. And that generation being focused more on climate and being understanding of it and having more tools and resources to comprehend what that will do to their lives, they will require a change in the type of housing that that they live in.
Tegan: Could the next generation be more aware of their impact on the environment? A 2022 release from StatCan revealed that 5% of people 15 to 30 donated to environmental organizations in 2018, more than any other age group.
I don't know if it's true, but I think that climate change sometimes feels like an issue that's too big for one person to do anything about, to have any kind of impact. What are some of are of the ways that listeners, whether they live in houses or apartments or condos or wherever they live, what are some of the ways that they can make a positive difference?
Andrew: You're right. It seems daunting and where to start is difficult. I think the first thing to do is to start to become aware about your environment. And this is being educated on what types of risks… Let's talk about first the physical risks. So, with where you live, understanding what type of weather will impact your housing, looking at the condition of your home.When you're planning and contemplating upgrades, talk to professionals about energy efficiency, the types of materials that you can use to put in your home.
Last point would be to use tools that can help educate you on what your carbon footprint is so that then you can see how you contribute to climate change. And that you can then use that information to help guide you in taking decisions on how you can contribute towards lessening the impact on climate change.
Tegan: A report by StatCan found that in 2018 about 40% of Canadian greenhouse gas emissions were attributable to Canadian household consumption and use of goods and services.
How do you get started thinking about adapting your home to climate change?
Andrew: That is a big question but there is a path to be able to do this. The first thing is to recognize that each home is different. Age, the technologies in it… Also, where we're located in the country, climate impacts different areas of the country in different ways.So, to get started, one of the things that I can suggest is to do some research on groups that are putting out publications on how you can find energy efficiency and climate resiliency.
One organization that has some interesting materials is the Intact Center on Climate Adaptation. So, if you're looking for ways to reduce flood risk, reduce wildfire risk, they have publications that you can use to see what you could do to your individual home.
Another place where you can go to get started to thinking about energy efficiency and resiliency is the NRCan Canada Greener Homes grant. There you go through the process of getting an NR Guide inspection that can help guide you through adaptations to your home. There's also a source of funding associated with that called the Canada Greener Homes Loans Program that can help guide you in the decisions and help you with financing.
Other products and places where you could go to find information is through our mortgage loan insurance products. We have an Eco Plus program that's designed for homeowners. We have a product for multi-unit residential owners called MLI Select. And we also have the NHS co-investment fund. So those are all places where you can go to get started to think about decisions and choices that you can make to make your house, your home, more climate compatible.
Tegan: StatCan found that in 2018, over 101,000 kilotonnes of CO2-equivalents were attributable to the production and use of motor fuels and lubricants consumed by households. Another almost 60,000 kilotonnes were attributable to the production and use of natural gas and other fuels consumed by households for heating and other stationary uses.
We've talked a bit about the role and importance of research and good data in the fight against both the climate change crisis and also the housing crisis. What data are we missing? And why does good data… why do they matter here?
Andrew: Good data matter for everyone in the housing system. And to give a few examples, it matters to the consumer who's looking to purchase that home. Think of first-time home buyers wanting to understand what is the flood risk to this major investment that they're going to make. Where can they go to find information on that flood risk?
It starts with producers and builders on understanding the technologies that are out there and what's the benefit? It's a benefit to players on the financial side of it to understand, you know, when they are either going to issue insurance premiums or lend to understand what's an additional risk that's now brought into the system to help them make effective decisions.
And also for governments as well. To help design public policy, you need data. You need to understand as much as you can about the current stock, about the new technologies to develop those strategies to achieve a lesser carbon footprint.
Tegan: Do you have any publications that are coming out that you'd like to direct our audience's attention to?
Andrew: Yes, there's two pieces of research produced that they're really interesting.
One is about insurance solutions. So, taking a look at how countries are developing strong insurance programs and products. We know that when there is a catastrophic event that it has an impact and a devastating impact to housing and that insurance plays a key role. So, this study will help show what other countries are doing to manage those risks.
Another piece of really interesting work is the work we've done with industry to try and understand climate risk to housing. And that's about the players in the system, looking at climate risk in the same way and coming to the realization that there's one common point that joins all of the players in the system. And that's data and the need for reliable data to help make decisions to manage climate change today and for the future.
Tegan: When you're looking to make an informed decision, it does always come back to data.
StatCan has a ton of information available on its website, statcan.gc.ca, including a housing statistics hub. Or you can get housing data from the 2021 census by visiting the census page of our website.
In terms of the thermostat war, I found some data on StatCan's website, laying out the different energy savings of various temperatures, so I think we'll be using that as our guide this winter, and maybe a programmable thermostat is in our future.
You've been listening to Eh Sayers. A special thank you to Andrew Defazio and the team at CMHC for their help with this episode.
You can subscribe to this show wherever you get your podcasts. There you can also find the French version of our show, called Hé-coutez bien. If you liked this show, please rate, review, and subscribe. Thanks for listening!
Psst! Hey! Hey you! What's up? You made it to the very end of the show. Congrats! And honestly, thank you! We work really hard to make this show, so we appreciate that you listen. As the newest member of our super secret Finishers Club that I just made up, I would like to ask you to do something. Every podcast you've ever listened to asks you to please rate, review, and subscribe, but hear me out.
We're a brand new show, we're just coming up on a year since we launched our very first episode, and we work incredibly hard on our content. We're trying to make a fun and easy way for Canadians to learn about the data StatCan produces. We're also trying to increase data literacy and help people understand the economic forces that shape our world. Today, for example, we explored the question, "How are the housing crisis and the climate crisis connected?" And we think that's a really important question for Canadians to think about. You made it to the end of the show, so we're hoping that you think our mission matters. If so, please share this episode with someone else, a friend, a colleague. Someone else who thinks that it's good to know just a little bit more about the world. We'd be really grateful.
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Sources
Canada Mortgage and Housing Corporation. 2022. "Incorporating the Impact of Climate Change into Models Related to Housing and Housing Finance: A Review of the Literature."Canada Mortgage and Housing Corporation. Housing Research. Incorporating the Impact of Climate Change
into Models Related to Housing and Housing. Finance: A Review of the Literature.
Insurance Bureau of Canada. 2022. "Designing the Path to Climate Compatibility: Climate Risk Disclosure and Action in the Canadian Housing Context."Insurance Bureau of Canada. http://assets.ibc.ca/Documents/Disaster/Designing-the-Path-to-Climate-Compatibility.pdf.
Statistics Canada. "Housing Indicators, 2021 Census." Statistics Canada, September 21, 2022. Housing indicators, 2021 Census.
A Look at the Potential Impact of Telework on Public Transit and Greenhouse Gas Emissions Using 2015 Data. April 22, 2021. Infographic.Statistics Canada. A look at the potential impact of telework on public transit and greenhouse gas emissions using 2015 data.
A Portrait of Canada's Families in 2021. July 13, 2022. Infographic.Statistics Canda. A portrait of Canada's families in 2021.
Canadian Greenhouse Gas Emissions Attributable to Households, 2018. March 28, 2022. Infographic.Statistics Canada. Canadian Greenhouse Gas Emissions Attributable to Households, 2018.
Core Housing Need in Canada. September 21, 2022. Infographic.Statistics Canada. Core housing need in Canada.
Portrait of Youth in Canada: Environment. April 7, 2022. Infographic.Statistics Canada. Portrait of youth in Canada: Environment.
This survey is conducted by Statistics Canada in order to collect the necessary information to support the Integrated Business Statistics Program (IBSP). This program combines various survey and administrative data to develop comprehensive measures of the Canadian economy.
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1. Verify or provide the business or organization's legal and operating name and correct where needed.
Note: Legal name modifications should only be done to correct a spelling error or typo.
Legal Name
The legal name is one recognized by law, thus it is the name liable for pursuit or for debts incurred by the business or organization. In the case of a corporation, it is the legal name as fixed by its charter or the statute by which the corporation was created.
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Note: The described activity was assigned using the North American Industry Classification System (NAICS).
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1. Indicate whether you will be answering the remaining questions or attaching files with the required information.
1. Did this business import coal from foreign countries?
2. What was the volume of coal imported from foreign countries?
Please report the volume of all coal imported from foreign countries during the reference month, in metric tonnes.
3. Did this business purchase or receive coal from Canadian (domestic) companies?
4. From which provinces or territories did this business purchase or receive coal?
Select all that apply.
5. What was the volume of coal purchased or received from the following provinces or territories?
Report the amounts of coal purchased or received during the reference month from Canadian (domestic) companies, by province and territory.
| Metric tonnes | |
|---|---|
| a. Newfoundland and Labrador | |
| b. Prince Edward Island | |
| c. Nova Scotia | |
| d. New Brunswick | |
| e. Quebec | |
| f. Ontario | |
| g. Manitoba | |
| h. Saskatchewan | |
| i. Alberta | |
| j. British Columbia | |
| k. Yukon | |
| l. Northwest Territories | |
| m. Nunavut | |
| Total volume of coal purchased or received from all provinces or territories |
6. This opening inventory is last month's closing inventory as provided by this business for coal on site and in transit.
Please review the value and if needed, make any modification.
When opening inventory is blank, please provide the opening inventory.
Report the total amount of Canadian and imported coal at the beginning of the month. This should equal the stock at the end of the month from the previous month's report.
7. What was the volume of coal used by this business for its own use?
| Metric tonnes | |
|---|---|
| a. Volume of coal charged to coke ovens | |
| b. Volume of pulverized coal injection (PCI) used in blast furnaces | |
| c. All other business fuel uses for coal | |
| Total disposition of coal for business's own use |
8. This is a summary of the total supply of coal for the month of [month].
This opening inventory is last month's closing inventory as provided by this business. Correct if needed.
Coal inventory adjustments includes, for example, washer losses, etc.
| Metric tonnes | |
|---|---|
| Opening inventory of coal on site and in transit | |
| Volume of coal imported from foreign countries | |
| Volume of coal purchased or received | |
| Total supply of coal for the month of [month] | |
| Total disposition of coal for business's own use | |
| Closing coal inventories before inventory adjustments | |
| Inventory adjustments | |
| Closing coal inventories after inventory adjustments |
9. What was the volume of coke produced by this business?
Report the amount of coke produced in your own plants during the month.
10. Did this business import coke from foreign countries?
11. What was the volume of coke imported from foreign countries?
Please report the total amount of coke imported from foreign countries.
12. Did this business purchase or receive coke from Canadian (domestic) companies?
13. From which provinces or territories did this business purchase or receive coke?
Select all that apply.
14. What was the volume of coke purchased or received from the following provinces or territories?
Please report the total amount of coke received or purchased from Canadian companies by province.
Please report for the mine location indicated at the start of this questionnaire.
| Metric tonnes | |
|---|---|
| a. Newfoundland and Labrador | |
| b. Prince Edward Island | |
| c. Nova Scotia | |
| d. New Brunswick | |
| e. Quebec | |
| f. Ontario | |
| g. Manitoba | |
| h. Saskatchewan | |
| i. Alberta | |
| j. British Columbia | |
| k. Yukon | |
| l. Northwest Territories | |
| m. Nunavut | |
| Total volume of coke purchased or received from all provinces or territories |
15. This opening inventory is last month's closing inventory as provided by this business for coke on site and in transit.
Please review the value and if needed, make any modification.
When opening inventory is blank, please provide the opening inventory.
Report the total amount of coke in stock at the beginning of the month.
Stock of coke at the beginning of the month should be equal to the closing stock from the previous month.
16. What was the average calorific value of the total supply of coke?
Please report the net average calorific value of coke produced in megajoules per metric tonne.
17. What was the volume of coke used by this business for its own use?
Report the amount of coke (produced or purchased) used in blast furnaces during the month for business's own use.
Report the amount of coke (produced or purchased) used in other 'associated works' during the month for business's own use.
| Metric tonnes | |
|---|---|
| a. Volume of coke used in blast furnaces | |
| b. Volume of coke used in 'associated works' | |
| Total disposition of coke for business's own use |
18. Did this business sell or deliver coke to Canadian (domestic) companies?
e.g., other coke plants, mining and oil, wholesalers or distributors.
19. This business sold or delivered coke to which types of customer?
Exclude sales for the purpose of resale.
Select all that apply.
20. This business indicated that coke was sold or delivered to manufacturers. To which provinces or territories did this business sell or deliver coke?
Select all that apply.
21. What was the volume of coke sold or delivered to manufacturers for the following provinces or territories?
| Metric tonnes | |
|---|---|
| a. Newfoundland and Labrador | |
| b. Prince Edward Island | |
| c. Nova Scotia | |
| d. New Brunswick | |
| e. Quebec | |
| f. Ontario | |
| g. Manitoba | |
| h. Saskatchewan | |
| i. Alberta | |
| j. British Columbia | |
| k. Yukon | |
| l. Northwest Territories | |
| m. Nunavut | |
| Total volume of coke sold or delivered to manufacturers |
22. This business indicated that coke was sold or delivered to other producers or domestic companies. To which provinces or territories did this business sell or deliver coke?
Select all that apply.
23. What was the volume of coke sold or delivered to other producers or domestic companies for the following provinces or territories?
| Metric tonnes | |
|---|---|
| a. Newfoundland and Labrador | |
| b. Prince Edward Island | |
| c. Nova Scotia | |
| d. New Brunswick | |
| e. Quebec | |
| f. Ontario | |
| g. Manitoba | |
| h. Saskatchewan | |
| i. Alberta | |
| j. British Columbia | |
| k. Yukon | |
| l. Northwest Territories | |
| m. Nunavut | |
| Total volume of coke sold or delivered to other producers or domestic companies |
24. This business indicated that coke was sold or delivered to [other type of customer]. To which provinces or territories did this business sell or deliver coke?
Select all that apply.
25. What was the total volume of coke sold or delivered to [other type of customer] for the following provinces or territories?
| Metric tonnes | |
|---|---|
| a. Newfoundland and Labrador | |
| b. Prince Edward Island | |
| c. Nova Scotia | |
| d. New Brunswick | |
| e. Quebec | |
| f. Ontario | |
| g. Manitoba | |
| h. Saskatchewan | |
| i. Alberta | |
| j. British Columbia | |
| k. Yukon | |
| l. Northwest Territories | |
| m. Nunavut | |
| Total volume of coke sold or delivered to all other types of customer |
26. Did this business export coke to foreign countries?
27. What was the volume of coke exported to foreign countries?
Report the total amount of coke sold for export during the month.
28. Did this business deliver or sell coke to other Canadian companies for the purpose of resale?
Exclude storage.
29. To which provinces or territories did this business deliver or sell coke for the purpose of resale?
Select all that apply.
30. What were the volume and value of coke delivered or sold to other Canadian companies for the purpose of resale from the following provinces or territories?
| Metric tonnes | CAN$ '000 | |
|---|---|---|
| a. Newfoundland and Labrador | ||
| b. Prince Edward Island | ||
| c. Nova Scotia | ||
| d. New Brunswick | ||
| e. Quebec | ||
| f. Ontario | ||
| g. Manitoba | ||
| h. Saskatchewan | ||
| i. Alberta | ||
| j. British Columbia | ||
| k. Yukon | ||
| l. Northwest Territories | ||
| m. Nunavut | ||
| Total volume and value of coke delivered or sold for resale |
31. This is a summary of the total supply of coke for the month of [month].
This opening inventory is last month's closing inventory as provided by this business. Correct if needed.
Please report coke inventory adjustments which would include, for example, wasted or scrapped coke.
| Metric tonnes | |
|---|---|
| Opening inventory of coke on site and in transit | |
| Volume of coke produced by this business | |
| Volume of coke imported from foreign countries | |
| Volume of coke purchased or received | |
| Total volume of coke delivered by type of customer | |
| Total supply of coke for the month of [month] | |
| Total disposition of coke for business's own use | |
| Total volume of coke exported | |
| Total volume of coke delivered or sold for resale | |
| Total disposition of coke for the month of [month] | |
| Closing coke inventories before inventory adjustments | |
| Inventory adjustments | |
| Closing coke inventories after inventory adjustments |
32. Indicate any changes or events that affected the reported values for this business or organization, compared with the last reporting period.
Select all that apply.
33. Statistics Canada may need to contact the person who completed this questionnaire for further information.
Is Provided Given Names, Provided Family Name the best person to contact?
Who is the best person to contact about this questionnaire?
34. How long did it take to complete this questionnaire?
Include the time spent gathering the necessary information.
35. Do you have any comments about this questionnaire?
Enter your comments
Coverage statement: Please report for the business unit(s) identified above. Include only the operation(s) located in Canada.
This information is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.
Completion of this questionnaire is a legal requirement under this act.
The purpose of this survey is to obtain information on the supply of, and/or demand for, energy in Canada. This information serves as an important indicator of Canadian economic performance and is used by all levels of government in establishing informed policies in the energy area. The private sector also uses this information in the corporate decision-making process. Your information may also be used by Statistics Canada for other statistical and research purposes.
Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical and research purposes.
This questionnaire should be completed and mailed to:
Statistics Canada, Operations and Integration Division,
JT2-B17, 150 Tunney's Pasture,
Ottawa, Ontario, K1A 0T6
or fax it to 1-800-755-5514 in time to be in Ottawa by the 15th of the month following the month under review.
Statistics Canada advises you that there could be a risk of disclosure during facsimile or e-mail. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded to all information collected under the authority of the Statistics Act.
To reduce respondent burden, Statistics Canada has entered into data sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes.
Information on data sharing agreements and record linkage can be found on the last page of this questionnaire.
Please refer to the reporting instruction and list of reporting companies before completing this report. NAICS, 32411, 32419
Please return the questionnaire within 20 days.
If you need help, call us at 1-888-881-3666 or write to us:
Statistics Canada, Operations and Integration Division,
150 Tunney's Pasture Driveway,
Ottawa, Ontario K1A 0T6
Visit our website at Statistics Canada
*Do not include sales to the companies listed above.
| Aviation Gasoline (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Food, beverage, tobacco manufacturing | |||||||||||||
| 5. Pulp and paper manufacturing | |||||||||||||
| 6. Iron and steel manufacturing | |||||||||||||
| 7. Aluminum and non-ferrous metal manufacturing | |||||||||||||
| 8. Cement manufacturing | |||||||||||||
| 9. Refined petroleum products manufacturing | |||||||||||||
| 10. Chemical manufacturing | |||||||||||||
| 11. All other manufacturing | |||||||||||||
| 12. Forestry, logging and support activities | |||||||||||||
| 13. Agriculture, fishing, hunting and trapping | |||||||||||||
| 14. Construction | |||||||||||||
| 15. Public administration | |||||||||||||
| 16. Electric power generation and distribution | |||||||||||||
| 17. Railways | |||||||||||||
| 18. Canadian airlines | |||||||||||||
| 19. Foreign airlines | |||||||||||||
| 20. Road transport and urban transit | |||||||||||||
| 21. Canadian marine | |||||||||||||
| 22. Foreign marine | |||||||||||||
| 23. Pipelines | |||||||||||||
| 24. Retail pump sales | |||||||||||||
| 25. Commercial and other institutional | |||||||||||||
| 26. Secondary distributors | |||||||||||||
| 27. Residential | |||||||||||||
| Total manufacturing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Motor Gasoline (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Food, beverage, tobacco manufacturing | |||||||||||||
| 5. Pulp and paper manufacturing | |||||||||||||
| 6. Iron and steel manufacturing | |||||||||||||
| 7. Aluminum and non-ferrous metal manufacturing | |||||||||||||
| 8. Cement manufacturing | |||||||||||||
| 9. Refined petroleum products manufacturing | |||||||||||||
| 10. Chemical manufacturing | |||||||||||||
| 11. All other manufacturing | |||||||||||||
| 12. Forestry, logging and support activities | |||||||||||||
| 13. Agriculture, fishing, hunting and trapping | |||||||||||||
| 14. Construction | |||||||||||||
| 15. Public administration | |||||||||||||
| 16. Electric power generation and distribution | |||||||||||||
| 17. Railways | |||||||||||||
| 18. Canadian airlines | |||||||||||||
| 19. Foreign airlines | |||||||||||||
| 20. Road transport and urban transit | |||||||||||||
| 21. Canadian marine | |||||||||||||
| 22. Foreign marine | |||||||||||||
| 23. Pipelines | |||||||||||||
| 24. Retail pump sales | |||||||||||||
| 25. Commercial and other institutional | |||||||||||||
| 26. Secondary distributors | |||||||||||||
| 27. Residential | |||||||||||||
| Total manufacturing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kerosene-type jet fuel (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Food, beverage, tobacco manufacturing | |||||||||||||
| 5. Pulp and paper manufacturing | |||||||||||||
| 6. Iron and steel manufacturing | |||||||||||||
| 7. Aluminum and non-ferrous metal manufacturing | |||||||||||||
| 8. Cement manufacturing | |||||||||||||
| 9. Refined petroleum products manufacturing | |||||||||||||
| 10. Chemical manufacturing | |||||||||||||
| 11. All other manufacturing | |||||||||||||
| 12. Forestry, logging and support activities | |||||||||||||
| 13. Agriculture, fishing, hunting and trapping | |||||||||||||
| 14. Construction | |||||||||||||
| 15. Public administration | |||||||||||||
| 16. Electric power generation and distribution | |||||||||||||
| 17. Railways | |||||||||||||
| 18. Canadian airlines | |||||||||||||
| 19. Foreign airlines | |||||||||||||
| 20. Road transport and urban transit | |||||||||||||
| 21. Canadian marine | |||||||||||||
| 22. Foreign marine | |||||||||||||
| 23. Pipelines | |||||||||||||
| 24. Retail pump sales | |||||||||||||
| 25. Commercial and other institutional | |||||||||||||
| 26. Secondary distributors | |||||||||||||
| 27. Residential | |||||||||||||
| Total Manufacturing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Propane (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Food, beverage, tobacco manufacturing | |||||||||||||
| 5. Pulp and paper manufacturing | |||||||||||||
| 6. Iron and steel manufacturing | |||||||||||||
| 7. Aluminum and non-ferrous metal manufacturing | |||||||||||||
| 8. Cement manufacturing | |||||||||||||
| 9. Refined petroleum products manufacturing | |||||||||||||
| 10. Chemical manufacturing | |||||||||||||
| 11. All other manufacturing | |||||||||||||
| 12. Forestry, logging and support activities | |||||||||||||
| 13. Agriculture, fishing, hunting and trapping | |||||||||||||
| 14. Construction | |||||||||||||
| 15. Public administration | |||||||||||||
| 16. Electric power generation and distribution | |||||||||||||
| 17. Railways | |||||||||||||
| 18. Canadian airlines | |||||||||||||
| 19. Foreign airlines | |||||||||||||
| 20. Road transport and urban transit | |||||||||||||
| 21. Canadian marine | |||||||||||||
| 22. Foreign marine | |||||||||||||
| 23. Pipelines | |||||||||||||
| 24. Retail pump sales | |||||||||||||
| 25. Commercial and other institutional | |||||||||||||
| 26. Secondary distributors | |||||||||||||
| 27. Residential | |||||||||||||
| Total manufacuring | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Kerosene and stove oil (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Manufacturing | |||||||||||||
| 5. Forestry, logging and support activities | |||||||||||||
| 6. Agriculture, fishing, hunting and trapping | |||||||||||||
| 7. Construction | |||||||||||||
| 8. Public administration | |||||||||||||
| 9. Electric power generation and distribution | |||||||||||||
| 10. Railways | |||||||||||||
| 11. Canadian airlines | |||||||||||||
| 12. Foreign airlines | |||||||||||||
| 13. Road transport and urban transit | |||||||||||||
| 14. Canadian marine | |||||||||||||
| 15. Foreign marine | |||||||||||||
| 16. Pipelines | |||||||||||||
| 17. Retail pump sales | |||||||||||||
| 18. Commercial and other institutional | |||||||||||||
| 19. Secondary distributors | |||||||||||||
| 20. Residential | |||||||||||||
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Diesel fuel oil (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Manufacturing | |||||||||||||
| 5. Forestry, logging and support activities | |||||||||||||
| 6. Agriculture, fishing, hunting and trapping | |||||||||||||
| 7. Construction | |||||||||||||
| 8. Public administration | |||||||||||||
| 9. Electric power generation and distribution | |||||||||||||
| 10. Railways | |||||||||||||
| 11. Canadian airlines | |||||||||||||
| 12. Foreign airlines | |||||||||||||
| 13. Road transport and urban transit | |||||||||||||
| 14. Canadian marine | |||||||||||||
| 15. Foreign marine | |||||||||||||
| 16. Pipelines | |||||||||||||
| 17. Retail pump sales | |||||||||||||
| 18. Commercial and other institutional | |||||||||||||
| 19. Secondary distributors | |||||||||||||
| 20. Residential | |||||||||||||
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Light fuel oils (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Manufacturing | |||||||||||||
| 5. Forestry, logging and support activities | |||||||||||||
| 6. Agriculture, fishing, hunting and trapping | |||||||||||||
| 7. Construction | |||||||||||||
| 8. Public administration | |||||||||||||
| 9. Electric power generation and distribution | |||||||||||||
| 10. Railways | |||||||||||||
| 11. Canadian airlines | |||||||||||||
| 12. Foreign airlines | |||||||||||||
| 13. Road transport and urban transit | |||||||||||||
| 14. Canadian marine | |||||||||||||
| 15. Foreign marine | |||||||||||||
| 16. Pipelines | |||||||||||||
| 17. Retail pump sales | |||||||||||||
| 18. Commercial and other institutional | |||||||||||||
| 19. Secondary distributors | |||||||||||||
| 20. Residential | |||||||||||||
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Residual and heavy fuel oils (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Manufacturing | |||||||||||||
| 5. Forestry, logging and support activities | |||||||||||||
| 6. Agriculture, fishing, hunting and trapping | |||||||||||||
| 7. Construction | |||||||||||||
| 8. Public administration | |||||||||||||
| 9. Electric power generation and distribution | |||||||||||||
| 10. Railways | |||||||||||||
| 11. Canadian airlines | |||||||||||||
| 12. Foreign airlines | |||||||||||||
| 13. Road transport and urban transit | |||||||||||||
| 14. Canadian marine | |||||||||||||
| 15. Foreign marine | |||||||||||||
| 16. Pipelines | |||||||||||||
| 17. Retail pump sales | |||||||||||||
| 18. Commercial and other institutional | |||||||||||||
| 19. Secondary distributors | |||||||||||||
| 20. Residential | |||||||||||||
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Asphalt (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Construction | |||||||||||||
| 2. Manufacturing | |||||||||||||
| 3. Commercial and other institutional | |||||||||||||
| 4. Secondary distributors | |||||||||||||
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Lubricants (Cubic metres) | NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cubic metres | |||||||||||||
| 1. Iron mines | |||||||||||||
| 2. Oil and gas extraction | |||||||||||||
| 3. Other mining | |||||||||||||
| 4. Food, beverage, tobacco manufacturing | |||||||||||||
| 5. Pulp and paper manufacturing | |||||||||||||
| 6. Iron and steel manufacturing | |||||||||||||
| 7. Aluminum and non-ferrous metal manufacturing | |||||||||||||
| 8. Cement manufacturing | |||||||||||||
| 9. Refined petroleum products manufacturing | |||||||||||||
| 10. Chemical manufacturing | |||||||||||||
| 11. All other manufacturing | |||||||||||||
| 12. Forestry, logging and support activities | |||||||||||||
| 13. Agriculture, fishing, hunting and trapping | |||||||||||||
| 14. Construction | |||||||||||||
| 15. Public administration | |||||||||||||
| 16. Electric power generation and distribution | |||||||||||||
| 17. Railways | |||||||||||||
| 18. Canadian airlines | |||||||||||||
| 19. Foreign airlines | |||||||||||||
| 20. Road transport and urban transit | |||||||||||||
| 21. Canadian marine | |||||||||||||
| 22. Foreign marine | |||||||||||||
| 23. Pipelines | |||||||||||||
| 24. Retail pump sales | |||||||||||||
| 25. Commercial and other institutional | |||||||||||||
| 26. Secondary distributors | |||||||||||||
| 27. Residential | |||||||||||||
| Total manufacturing | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total Net Sales, All Categories | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Summary of Net Sales, All Categories Totals
| NL | PE | NS | NB | QC | ON | MB | SK | AB | BC | YT | NT | NU | Total Canada | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aviation gasoline | 0 | |||||||||||||
| Motor Gasoline | 0 | |||||||||||||
| Kerosene-type jet fuel | 0 | |||||||||||||
| Propane | 0 | |||||||||||||
| Kerosene and stove oil | 0 | |||||||||||||
| Diesel fuel oil | 0 | |||||||||||||
| Light fuel oils | 0 | |||||||||||||
| Residual and heavy fuel oils | 0 | |||||||||||||
| Asphalt | 0 | |||||||||||||
| Lubricants | 0 |
Media advisory
November 23, 2022, OTTAWA, ON –
On November 30, 2022, Statistics Canada will release the seventh and final set of results from the 2021 Census. This release will focus on education in Canada, the changing dynamics of the Canadian labour force and how people get to work, and instruction in the minority official language.
The release will be published in Statistics Canada's Daily at 8:30 a.m. eastern time on November 30, 2022. Information about previous releases throughout 2022 is available here.
Statistics Canada officials will hold a news conference to present high-level national, provincial, and territorial findings for the seventh release from the 2021 Census. Officials will be available to answer questions from the media following their remarks.
On November 30 and the following days, Statistics Canada will also grant interviews regarding this 2021 Census data release. Members of the media are invited to submit their requests for interviews and/or custom tabulations ahead of the release date to the Media Hot Line .
November 30, 2022
9:30 AM to 10:30 AM (ET)
The news conference will be held virtually and in person from the Parliamentary Press Gallery.
Address:
Room 200, Sir John A. Macdonald Building
144 Wellington Street
Ottawa, Ontario
Participation in the question and answer portion of this event is in person or via Zoom and is for accredited members of the Canadian Parliamentary Press Gallery only. Media who are not members of the Press Gallery may contact pressres2@parl.gc.ca to request temporary access. A teleconference line is also available for media who wish to listen to the event:
Toll-free dial-in number (Canada/US): 1-866-206-0153
Local dial-in number: 613-954-9003
Participant passcode: 1937847#
2021 Census of Population – Backgrounder for Media
Media Relations
Statistics Canada
STATCAN.mediahotline-ligneinfomedias.STATCAN@statcan.gc.ca
| Geography | Month |
|---|---|
| 202209 | |
| % | |
| Canada | 0.6 |
| Newfoundland and Labrador | 1.5 |
| Prince Edward Island | 1.5 |
| Nova Scotia | 1.7 |
| New Brunswick | 2.6 |
| Quebec | 1.6 |
| Ontario | 1.1 |
| Manitoba | 1.4 |
| Saskatchewan | 2.3 |
| Alberta | 1.1 |
| British Columbia | 2.1 |
| Yukon Territory | 2.4 |
| Northwest Territories | 1.8 |
| Nunavut | 1.8 |
Supplement to Statistics Canada's Generic Privacy Impact Assessment related to UCASS Modernization
Date: August 2022
Program manager: Director, Canadian Centre for Education Statistics,
Director General, Labour Market, Education and Socioeconomic Well-being
PIB draft submitted for review to OPMIC
The Full-time University and College Academic Staff System (FT-UCASS) is an annual survey since 1937 that collects national comparable information on the number and socio-economic characteristics of full-time teaching staff at Canadian universities. Participating universities extract this information from their Human Resource Information Systems (HRIS) for each individual staff member employed by the institution as of October 1st of the academic year. The information is organized on an EXCEL spreadsheet and sent to Statistics Canada through the electronic file transfer system (e-FT). The data collected by this survey are used in a non-identifiable form by a variety of clients with a diversity of needs including conducting studies on employment patterns, gender-based analyses, workforce renewal, salary analysis for contract negotiation and international comparative statistics. We are collecting UCASS under sections 3, 7(1) and 22(h) of the Statistics Act. The UCASS survey is mandatory in accordance with the Statistics Act.
The target population of this data collection is full-time academic teaching staff in degree-granting in 112 institutions (mainly universities) whose term of appointment is not less than twelve months. We are collecting 27 data elements on each full-time academic staff member in each reporting institution such as Unique ID per institutions, Gender, Year of birth, Department, Salary information, Principal subject taught, Rank, Previous employment, Year of appointment to present rank, Type of appointment, Year of appointment to institution, First and highest degree and Country of birth and highest degree.
The data collection was cancelled in 2012 due to budget cuts sustained by Statistics Canada. It was re-instated by Statistics Canada in September 2016 partly due to the interest of the then Minister of Science, who agreed to fund the survey. Following the re-instatement of the survey there has been much interest in closing known data gaps on academic staff in Canadian postsecondary institutions in terms of coverage and content. These gaps include a lack of Equity Diversity and Inclusion (EDI) data on full-time academics, other than gender, as well as information on part time or contract staff.
Over the last year, representatives from the Canadian Centre for Education Statistics (CCES) have engaged in discussions with key postsecondary education stakeholders who are also interested in closing these data gaps and modernize UCASS through a feasibility study. These include Dimensions: Equity, Diversity and Inclusion Canada (which aims to assess and promote filling equity gaps in postsecondary institutions), Innovation, Science and Economic Development Canada, the three granting agencies (Natural Sciences and Engineering Research Council, Social Sciences and Humanities Research Council, and Canadian Institutes of Health Research) and the Canada Foundation for Innovation. In addition, CCES has recently been approached by the Inter-Institutional Advisory Committee also about the inclusion of EDI data within FT-UCASS to support the Scarborough Charter on anti-Black racism and Black inclusion.
Before initiating a complete data collection for all universities within the UCASS-FT survey frame on EDI variables and contract staff, the Canadian Centre for Education Statistics has proposed to conduct a pilot project on a sample of universities in the UCASS survey frame that includes:
Adding EDI to the current collection and dissemination of FT-UCASS;
Assessing the feasibility and efficiency of collecting additional personal identifiers (first name, last name and date of birth) within FT-UCASS to explore data integration with the Canadian Census and other data sources to obtain their EDI characteristics and;
Expand coverage to include part-time/contract staff (PT-UCASS).
Specifically, we are proposing to explore in this feasibility study a new data collection for part-time academics with data elements including:
EDI information is of interest because it can be used to identify and eliminate obstacles and inequalities and encourage participation of designated underrepresented groups within the academic community. Collecting variables related to the following categories will support the overall goal of increasing the representation of the following groups among academic staff:
This pilot would be conducted in selected Canadian universities and would allow us to test an expanded data collection strategy. This information would inform the development of a permanent collection of these variables within the UCASS data collection. The pilot project would be most effective if there were a balanced mix of institution types: large, medium, and small institutions, as it is expected that there may be different challenges from each.
If the pilot project was deemed successful, the next step would be to negotiate ongoing funding to modify FT-UCASS, and/or to create PT-UCASS surveys for all institutions in the current UCASS data collection frame.
This pilot project will be conducted in selected Canadian universities who are currently part of the Dimensions' cohort and included in the UCASS survey data collection, to test this expanded data collection strategy. Statistics Canada is also approaching other UCASS institutions to seek interested parties that could contribute to this exercise and/or would be willing to be part of the pilot project and the consultation process.
The following universities are part of the Dimensions' cohort and will be invited to participate in our pilot project. We are presently evaluating the following Dimension's cohort universities to assess their eligibility and willingness to participate in our pilot project.
While the Generic Privacy Impact Assessment (PIA) addresses most of the privacy and security risks related to statistical activities conducted by Statistics Canada, this supplement is required before initiating data collection due to the sensitivity of the information being collected. Given this is a pilot, it will also inform the ongoing survey as to how best to proceed with adding the EDI variables. Statistics Canada treats all collections of sensitive personal information very seriously and this assessment will assure that it is being done in the most privacy protective way feasible.
The collection of personal information for UCASS can be justified against Statistics Canada's Necessity and Proportionality Framework:
1. Necessity:
A data collection on EDI and contract staff on university academics is necessary to support enhanced statistics on diverse populations, and support the government's, non-government organizations' and society's efforts to address systemic racism, gender gaps—including the power gaps between men and women—and bring fairness and inclusion considerations into decision making. Ultimately, the collection of more robust disaggregated data on the under-represented groups within the academic community (EDI and part-time/contract staff) will contribute to a more equitable employment environment in Canadian universities. This would include an environment where research funds are distributed according to how the groups under consideration are represented in the Canadian population and the academic community. It would also allow to inform the extent by which work precarity exists within the academic teaching community.
Furthermore, there is also consensus among key stakeholders related to this project that in order to improve the representation of the EDI groups within academia, having data that conforms to Statistics Canada's standards on these characteristics is a first step. Data on the characteristics of academic staff can be compared to benchmark data from Statistics Canada sources (Census, Canadian Survey on Disability, Survey on Postsecondary Faculty and Researchers) and over the long term, measuring progress toward a more representative academic community across universities.
In recent years, the federal research funding agencies have undertaken several initiatives to foster a more equitable, diverse and inclusive research ecosystem in Canada. The underlying premise is that in order to achieve world-class research, systemic barriers must be addressed that limit the full participation of all talented individuals
The Canadian Institutes of Health Research (CIHR), the Natural Science and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC) , under the leadership of the Canada Research Coordinating Committee (CRCC), have developed an action plan that will guide initiatives and decisions to contribute to a system-wide transformation.
This Action Plan outlines measures to increase equitable and inclusive access to granting agency funding opportunities. It also details how the granting agencies can influence the achievement of an inclusive post-secondary research system and culture in Canada. However, in order to measure progress, quality data on the representation of the under-represented groups in the research eco system in Canada is required. Currently, some of the research agencies are using data from the US and UK since comparable Canadian data is not available.
Most large Canadian universities are required to have a Canada Research Chairs Action Plan which lays out a road map that the institutions plan to use that will be used to meet their EDI targets. Conducting a pilot will allow Statistics Canada to evaluate if the collected data is sufficient to meet this goal or if additional or potentially fewer data elements are required if the collection were to be expanded to all institutions.
2. Effectiveness - Working assumptions:
The goal of the pilot project is to analyze the benefits and disadvantages of collecting EDI information (visible minority status, Indigenous identity, disability status, gender identity, sexual orientation) on university academic staff either through data integration or by direct collection from the universities' internal collection on EDI. We also want to assess the feasibility and efficiency of collecting additional personal identifiers (first name, last name and date of birth) to explore data integration with the Canadian Census and other data sources to obtain or derive their EDI characteristics. This could be an option for smaller institutions in the pilot that have less resources to collect and provide STATCAN EDI data for their academics full-time or part-time or have obtain low coverage while collecting it.
There have been a number of challenges identified for the collection of data from the institution's internal data holdings. In the last round of consultations on the expansion of UCASS, there was a consensus that this expansion would be of great interest. However, one of the challenges is that for those that have established EDI data collections, they may have to re-open the agreements under which the data was originally collected to seek permission to share this information with Statistics Canada. This information is self-reported by academic staff to the institution and not all individuals choose to report EDI characteristics for various reasons (fear of reprisals from employer, fear of being blocked from achieving tenure and movement through the ranks, inherent bias etc.). Some EDI information may be more sensitive, such as gender identity, sexual orientation or disability status. Data reported to UCASS comes from Human Resource systems, it may be that some university academics would not want their self-identified EDI information attached to the human resources records. Therefore, data linkage using personal identifiers could mitigate this challenge.
Once the results of the pilot project have been analyzed, then an approach to collection within the full frame of UCASS can be recommended. Depending upon the results of the analysis, a hybrid approach to the collection of EDI characteristics could be adopted for the full frame:
During the 1990's, Statistics Canada collected data on part-time university teaching staff with limited success. Some of the challenges included that part-time academic staff were not unionized and the impetus to collect information on them by institutions was not as critical. As well, the definition of part-time staff in the survey was also not clear and well understand by respondents.
3. Proportionality:
A data collection on EDI and contract staff on university academics will support enhanced statistics on diverse populations, and support the government's, non-government organizations' and society's efforts to address systemic racism, gender gaps—including the power gaps between men and women—and bring fairness and inclusion considerations into decision making. Ultimately, the collection of more robust disaggregated data on the under-represented groups within the academic community (EDI groups and part-time/contract staff) will contribute to a more equitable employment environment in Canadian universities. This would include an environment where research funds are distributed according to how the groups under consideration are represented in the Canadian population and the academic community. It would also allow to inform the extent by which work precarity exists within the academic teaching community. While, these added variables are sensitive, the pilot will allow us to assess the proportional benefit of them especially with respect to the risk to privacy for these academics.
As well, there is much anecdotal evidence that those academics from the under represented groups suffer a disadvantage in terms of promotions, moving through the ranks and salaries. However, there is no national comparable source of information to evaluate this.
While the interested parties could attempt a data collection on their own, they recognize that Statistics Canada has a proven record of collecting and safeguarding sensitive data. And since the FT-UCASS is an established and well- respected data collection, it is felt that adding EDI questions to this, would facilitate the collection of such data and safeguard the privacy and confidentiality of respondents.
The pilot project will allow Statistics Canada to assess the challenges to reporting and the sensitivity of reporting out such information. Any risk factors that cannot be anticipated, will likely be identified as outcomes of the project. The goal of the pilot project is to seek to collect data from a mix of universities: small, medium and large size and with good geographical representation. It is expected that any challenges arising from this data collection will be identified before a large- scale data collection is launched. The outcome of the pilot project will be to recommend if this data collection is feasible for all universities.
4. Alternatives:
As it stands, there is no centralized data collection on EDI characteristics of academic staff in Canada or on contract staff in postsecondary institutions. A one-time collection of data on Postsecondary Faculty and Researchers cannot be used to establish benchmarks because there was no unified sample frame used in the collection.
The granting agencies (NSERC, SSHRC and CIHR) have a self- identification questionnaire for all Canadian Research Chair applicants. This just a subset of academics in Canadian universities and does not represent the total academic staff in Canada, thereby making it impossible to use this source to establish benchmarks for this population.
While there was a collection on contract staff (part-time faculty) in the 1990's, it was cancelled due to coverage issues. Best practices and lessons learned will be employed from this data collection in the possible implementation of a full -scale data collection if deemed appropriate after the results of the pilot project are analyzed.
The Canadian Association of University Teachers also conducted a one- time study of the number of contract staff by submitting Access to Information requests to universities, however, this approach is not sustainable over the long term.
Provincial associations have done one- time studies of contract staff however, these are sporadic and have not been translated into consistent data collection.
The goal of the feasibility study is to analyze the benefits and disadvantages of collecting EDI information on university academic either through data integration or by direct collection from the universities' internal collection on EDI. As well, it is to determine the parameters and definitions that will be used in defining and collecting data on contract staff in Canadian universities. Information from all existing data collections on such staff will be used to augment the development of the feasibility study and the permanent data collection if deemed feasible.
When collected in universities, EDI information is self-reported by academic staff and not all individuals choose to report EDI characteristics for various reasons (fear of reprisals from employer, fear of being blocked from achieving tenure and movement through the ranks, inherent bias etc.). EDI information is generally considered sensitive, particularly gender identity, sexual orientation or disability status. Data reported to UCASS comes from Human Resource systems, it may be that some university academics would not want their self-identified EDI information attached to the human resources records. Therefore, data linkage to existing datasets that include this information using personal identifiers could mitigate the intrusiveness of requiring that information to be collected via Human Resource data from the institutions.
The overall risk of harm to the survey respondents has been deemed manageable with existing Statistics Canada safeguards that are described in Statistics Canada's Generic Privacy Impact Assessment, as well as with the following measures: Any information from those universities that participate in the feasibility study would be sent to Statistics Canada by the electronic file transfer system to ensure the security of the data being transferred. Data analysis and processing take place on established Statistics Canada secure networks. At reception, we would create two separate files: UCASS main file (current variables) and UCASS ID file (linkage variables): Unique ID #, gender, Province, first name, last name, date of birth. This file would be used only for assigning an anonymous identifier to be used in a secure data integration environment (SDLE) that would allow data integration with Census or other STC survey to estimate EDI information.
At the outset, the nominal information will be removed from the records and replaced with an anonymized key. The UCASS team would create a dissemination file excluding new personal identifiers variables. We will have each institution in the pilot project (and eventually if successful all institutions in the UCASS survey frame) complete and sign an authorization to release aggregate data by pilot institutions. They would also approve validation tables with EDI specific comparators (Census-NOC-CMA). Additionally, staff identifiers would be replaced with a randomly generated synthetic identifier as part of the regular production process for UCASS.
There is a low risk that those academics who have identified as being in the under-represented groups could be identified due to small numbers, the size of institution or because of geographic disaggregation (e.g. there is only one university in Newfoundland and Prince Edward Island) if these new data elements were to be include on the UCASS file accessible in Statistics Canada research data center. The purpose of the pilot project is to look at the data collected and analyze the outcomes to determine the most secure way to disseminate such information if a wide-scale collection is implemented. However, a plan of action cannot be established until results have been collected and analyzed. Any further mitigations will be identified during this pilot phase with a view to implement them before the project goes into full production.
Conclusion
This assessment concludes that the risk is deemed manageable by Statistics Canada and there is no privacy impediment for this pilot to go ahead. Further, an SPIA that covers this activity in its entirety will be conducted in the event that this becomes a regular survey.
This Supplementary Privacy Impact Assessment has been reviewed and recommended for approval by Statistics Canada's Chief Privacy Officer, Director General for Modern Statistical Methods and Data Science, and Assistant Chief Statistician for Social, Health and Labour Statistics.
The Chief Statistician of Canada has the authority for section 10 of the Privacy Act for Statistics Canada, and is responsible for the Agency's operations, including the program area mentioned in this Supplementary Privacy Impact Assessment.
This Privacy Impact Assessment has been approved by the Chief Statistician of Canada.
On November 30, Statistics Canada will be releasing the seventh and last set of results from the 2021 Census of Population.
This release will focus on:
The census webinar will provide you with key information including:
Following the presentation, Statistics Canada officials will be available to answer questions.
Webinar video:
The 2021 Census of Population Webinar Series is based on our most recent census, held on May 11, 2021. The census provides a detailed and comprehensive statistical portrait of Canada that is vital to our country. The webinars will be presented after the major data releases scheduled between February 9 and November 30, 2022 and will share information on concepts, data products, and resources available from the 2021 Census.
Stay tuned for webinars on demography, families, Canadian military experience, income, linguistic diversity, indigenous peoples, housing, ethnocultural and religious diversity, immigration and mobility, education, labour and more.
The purpose of this survey is to collect reliable and timely information on special crops. Results from this survey are used to:
The Canadian Special Crops Association, Pulse Canada and federal and provincial governments, such as Agriculture and Agri-Food Canada use this information for establishing programs and policies.
Your information may also be used by Statistics Canada for other statistical and research purposes.
Your participation in this survey is required under the authority of the Statistics Act.
Authorization to collect this information
Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.
Confidentiality
By law, Statistics Canada is prohibited from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent, or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes only.
Record linkages
To enhance the data from this survey and to reduce the reporting burden, Statistics Canada may combine the acquired data with information from other surveys or from administrative sources.
Data-sharing agreements
To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.
Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.
For this survey, there are Section 11 agreements with the provincial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia. The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province.
1. Verify or provide the business or organization's legal and operating name and correct information if needed.
Note: Legal name modifications should only be done to correct a spelling error or typo.
Note: Press the help button (?) for additional information.
Legal Name
The legal name is one recognized by law, thus it is the name liable for pursuit or for debts incurred by the business or organization. In the case of a corporation, it is the legal name as fixed by its charter or the statute by which the corporation was created.
Modifications to the legal name should only be done to correct a spelling error or typo.
To indicate a legal name of another legal entity you should instead indicate it in question 3 by selecting 'Not currently operational' and then choosing the applicable reason and providing the legal name of this other entity along with any other requested information.
Operating Name
The operating name is a name the business or organization is commonly known as if different from its legal name. The operating name is synonymous with trade name.
2. Verify or provide the contact information for the designated contact person for the business or organization, and correct information if needed
Note: The designated contact person is the person who should receive this questionnaire. The designated contact person may not always be the one who actually completes the questionnaire.
3. Verify or provide the current operational status of the business or organization identified by the legal and operating name above.
4. Verify or provide the current main activity of the business or organization identified by the legal and operating name above.
Note: The described activity was assigned using the North American Industry Classification System (NAICS).
Note: Press the help button (?) for additional information, including a detailed description of this activity complete with example activities and any applicable exclusions.
This question verifies the business or organization's current main activity as classified by the North American Industry Classification System (NAICS). The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply-side or production-oriented principles, to ensure that industrial data, classified to NAICS , are suitable for the analysis of production-related issues such as industrial performance.
The target entity for which NAICS is designed are businesses and other organizations engaged in the production of goods and services. They include farms, incorporated and unincorporated businesses and government business enterprises. They also include government institutions and agencies engaged in the production of marketed and non-marketed services, as well as organizations such as professional associations and unions and charitable or non-profit organizations and the employees of households.
The associated NAICS should reflect those activities conducted by the business or organizational units targeted by this questionnaire only, as identified in the 'Answering this questionnaire' section and which can be identified by the specified legal and operating name. The main activity is the activity which most defines the targeted business or organization's main purpose or reason for existence. For a business or organization that is for-profit, it is normally the activity that generates the majority of the revenue for the entity.
The NAICS classification contains a limited number of activity classifications; the associated classification might be applicable for this business or organization even if it is not exactly how you would describe this business or organization's main activity.
Please note that any modifications to the main activity through your response to this question might not necessarily be reflected prior to the transmitting of subsequent questionnaires and as a result they may not contain this updated information.
The following is the detailed description including any applicable examples or exclusions for the classification currently associated with this business or organization.
Description and examples
Provide a brief but precise description of this business or organization's main activity
e.g., breakfast cereal manufacturing, shoe store, software development
5. You indicated that is not the current main activity.
Was this business or organization's main activity ever classified as: ?
6. Search and select the industry classification code that best corresponds to this business or organization's main activity.
How to search:
Select this business or organization's activity sector (optional)
7. You have indicated that the current main activity of this business or organization is:
Main activity
Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?
8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?
When precise figures are not available, provide your best estimates.
| Percentage of revenue | |
|---|---|
| Main activity | |
| Secondary activity | |
| All other activities | |
| Total percentage |
1. On the reference date , which of the following special crops were held as physical stocks in your facilities?
Include only stocks held in Canadian facilities such as elevators, cleaning plants, and stocks in-transit.
Exclude stocks held on farms or outside Canada.
Select all that apply.
2. On the reference date, please indicate the physical stocks in metric tonnes for the following special crops.
Include only stocks held in Canadian facilities such as elevators, cleaning plants, and stocks in-transit.
Exclude stocks held on farms or outside Canada.
| Metric tonnes | |
|---|---|
| Canary seed | |
| a. Owned by this company | |
| b. Held for farmers | |
| c. Held for other companies | |
| Chickpeas | |
| d. Owned by this company | |
| e. Held for farmers | |
| f. Held for other companies | |
| Dry field peas | |
| g. Owned by this company | |
| h. Held for farmers | |
| i. Held for other companies | |
| Lentils | |
| j. Owned by this company | |
| k. Held for farmers | |
| l. Held for other companies | |
| Mustard seed | |
| m. Owned by this company | |
| n. Held for farmers | |
| o. Held for other companies | |
| Sunflower seed | |
| p. Owned by this company | |
| q. Held for farmers | |
| r. Held for other companies |
1. Indicate any changes or events that affected the reported values for this business or organization, compared with the last reporting period.
Select all that apply.
1. Statistics Canada may need to contact the person who completed this questionnaire for further information.
Is the provided given names and the provided family name the best person to contact?
Who is the best person to contact about this questionnaire?
1. How long did it take to complete this questionnaire?
Include the time spent gathering the necessary information.
2. Do you have any comments about this questionnaire?
