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All (67)

All (67) (0 to 10 of 67 results)

1. Characteristics of Indigenous-owned businesses
Articles and reports: 36-28-0001202201200004
Description: In recent years, Statistics Canada has released data and analysis on business ownership by women and persons with disabilities. Furthermore, in an effort to continue to fill the information gap on business ownership by employment equity groups and better inform policy making, Statistics Canada has released, for the first time, time series on Indigenous-owned businesses by sex of ownership and other characteristics such as age of primary owner and province of operation.
Release date: 2022-12-22
2. Sociodemographic disparities in COVID-19 vaccine uptake and vaccination intent in Canada
Articles and reports: 82-003-X202201200004
Description:
Canada’s COVID-19 vaccination campaign began on December 14, 2020 with the arrival of a limited number of doses which were prioritized for high-risk populations, such as the elderly, residents and staff of congregate living settings, frontline healthcare workers, and Indigenous populations. Using data from the COVID-19 Vaccination Coverage Survey (CVCS), this study’s objective was to examine sociodemographic disparities in COVID-19 vaccination uptake and intent by identifying the social and economic determinants associated with vaccination uptake among seniors aged 60 years and older (i.e., those eligible for vaccination at the time of the survey) and the determinants of vaccination intent in the entire adult population.

Release date: 2022-12-21
3. Market Basket Measure Research: Additional income inequality indicators using the Market Basket Measure
Articles and reports: 75F0002M2022007
Description:
This discussion paper introduces three income inequality indicators and presents estimates obtained by applying these indicators to the Canadian Income Survey (CIS) data using the 2018-base MBM methodology. It provides the opportunity to gage the interest of including these three indicators into the current suite of income inequality indicators to facilitate the analysis of existing disparities and obstacles to income equality.

Release date: 2022-12-20
4. Physical flow accounts: Water Use, 2019
Stats in brief: 11-627-M2022087
Description: Physical flow accounts (PFA) record the annual flows of natural resources, products and residuals between the Canadian economy and the environment. The Water Account describes the use of the natural resource input of water and of water accessed through municipal water supply or irrigation systems by industries, governments, institutions, and households.
Release date: 2022-12-19
5. Bayes, buttressed by design-based ideas, is the best overarching paradigm for sample survey inference
Articles and reports: 12-001-X202200200001
Description:
Conceptual arguments and examples are presented suggesting that the Bayesian approach to survey inference can address the many and varied challenges of survey analysis. Bayesian models that incorporate features of the complex design can yield inferences that are relevant for the specific data set obtained, but also have good repeated-sampling properties. Examples focus on the role of auxiliary variables and sampling weights, and methods for handling nonresponse. The article offers ten top reasons for favoring the Bayesian approach to survey inference.

Release date: 2022-12-15
6. Comments by Sharon L. Lohr on “Statistical inference with non-probability survey samples”
Articles and reports: 12-001-X202200200005
Description:
Strong assumptions are required to make inferences about a finite population from a nonprobability sample. Statistics from a nonprobability sample should be accompanied by evidence that the assumptions are met and that point estimates and confidence intervals are fit for use. I describe some diagnostics that can be used to assess the model assumptions, and discuss issues to consider when deciding whether to use data from a nonprobability sample.

Release date: 2022-12-15
7. Are deep learning models superior for missing data imputation in surveys? Evidence from an empirical comparison
Articles and reports: 12-001-X202200200009
Description:
Multiple imputation (MI) is a popular approach for dealing with missing data arising from non-response in sample surveys. Multiple imputation by chained equations (MICE) is one of the most widely used MI algorithms for multivariate data, but it lacks theoretical foundation and is computationally intensive. Recently, missing data imputation methods based on deep learning models have been developed with encouraging results in small studies. However, there has been limited research on evaluating their performance in realistic settings compared to MICE, particularly in big surveys. We conduct extensive simulation studies based on a subsample of the American Community Survey to compare the repeated sampling properties of four machine learning based MI methods: MICE with classification trees, MICE with random forests, generative adversarial imputation networks, and multiple imputation using denoising autoencoders. We find the deep learning imputation methods are superior to MICE in terms of computational time. However, with the default choice of hyperparameters in the common software packages, MICE with classification trees consistently outperforms, often by a large margin, the deep learning imputation methods in terms of bias, mean squared error, and coverage under a range of realistic settings.

Release date: 2022-12-15
8. Analysis on businesses majority-owned by immigrants to Canada and businesses majority-owned by racialized persons, fourth quarter of 2022
Articles and reports: 11-621-M2022021
Description:
A variety of different factors impact the ability of Canadian businesses to operate, such as the geographical location of businesses, the industry the businesses operate in, and the size of businesses. Differences may also be apparent when looking at different categories of business owners, as different segments of the Canadian population face different challenges at a personal level, and as owners of businesses. From the beginning of October to early November 2022, Statistics Canada conducted the Canadian Survey on Business Conditions (CSBC) to collect information on the environment businesses are currently operating in and their expectations moving forward. This article explores results from the survey by looking at the businesses majority-owned by immigrants to Canada and businesses majority-owned by racialized persons. While there is some degree of crossover between these two sub-populations, they are two distinct groups and face different challenges. The information and trends presented in this article are based on data collected via the CSBC.

Release date: 2022-12-15
9. Immigrant women among board directors and officers: From admission in Canada to executive roles
Articles and reports: 11-621-M2022017
Description:
This study provides the first socioeconomic profile of immigrant women board directors and officers in Canada from an intersectional lens. Linking data from the Corporations Returns Act with those from the Longitudinal Immigration database, exploratory estimates are presented. The study analyzes characteristics of immigrants at admission and disparities in family, work and income characteristics, mainly by gender and immigrant status. Further, it informs on the types of businesses in which diverse women executives contribute to corporate governance and strategic decision making.

Release date: 2022-12-08
10. Identifying Indigenous Business Owners and Indigenous-Owned Businesses
Articles and reports: 11-633-X2022008
Description:
In recent years, Statistics Canada has made available data on business ownership by individuals in employment equity groups, namely women and persons with disabilities. However, little is known about business ownership among the other two employment equity groups, Indigenous peoples and racialized groups. This article describes the methodology used to fill the data gap on Indigenous business owners and Indigenous-owned businesses and is based on a novel linkage between the Canadian Employer–Employee Dynamics Database (2018), the Census of Population (2001, 2006, 2016) and the 2011 National Household Survey.

Release date: 2022-11-24

Stats in brief (21)

Stats in brief (21) (0 to 10 of 21 results)

1. Physical flow accounts: Water Use, 2019
Stats in brief: 11-627-M2022087
Description: Physical flow accounts (PFA) record the annual flows of natural resources, products and residuals between the Canadian economy and the environment. The Water Account describes the use of the natural resource input of water and of water accessed through municipal water supply or irrigation systems by industries, governments, institutions, and households.
Release date: 2022-12-19
2. Green Houses, Not Gases
Stats in brief: 45-20-00032022007
Description: 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.
Release date: 2022-11-22
3. Passenger Vehicle Fatalities in Canada, 2019
Stats in brief: 11-627-M2022072
Description: This infographic presents information on passenger vehicle fatalities collected from the Canadian Coroner and Medical Examiner Database. This infographic illustrates demographic profile of the deceased such as sex and age. The product also summarizes information on select circumstances surrounding passenger vehicle fatalities.
Release date: 2022-11-18
4. The rise in prices for wheat-based food products
Stats in brief: 11-627-M2022068
Description: This infographic details the food supply chain by focusing on the price movements for wheat-based food products in March 2022, and the costs to move food products from producers to consumers.
Release date: 2022-11-16
5. Why Haven't We Ended Poverty Yet?
Stats in brief: 45-20-00032022006
Description:
It used to be that Statistics Canada didn’t measure poverty. Not exactly. Poverty is complex, and there wasn't a single definition that everyone agreed on. So while StatCan did measure low income and other income inequality indicators, it didn't measure poverty per se. That is, until 2018, when the government chose to use the Market Basket Measure, or MBM, as Canada's Official Poverty Line. That means that the government now uses the MBM to track its poverty reduction targets.

But something strange happened during the pandemic: in 2020 the poverty rate fell. And it fell quite a bit. In fact, the poverty rate dropped in one year almost as much as it had in the four preceding years.

But why? What happened? Will the poverty rate continue to fall? And what happens if it hits zero? How would health outcomes change? Education outcomes? People's general happiness and well-being?

Has there ever been a time and place in Canada where the poverty rate was zero? The closest may be the Mincome Experiment of the 1970s in Manitoba. Many Canadians have never heard of this guaranteed income experiment, but it offers a glimpse at what eliminating poverty might look like.

To learn more we spoke with Burton Burton Gustajtis an economist from Statistics Canada, Evelyn Forget, a Professor of Economics and Community Health Sciences at the University of Manitoba and Kevin Milligan, a Professor of Economics in the Vancouver School of Economics at the University of British Columbia.

Release date: 2022-10-17
6. Sylvia Ostry: Lessons from a Legend
Stats in brief: 45-20-00032022005
Description: Sylvia Ostry was appointed Canada’s first and only female Chief Statistician in 1972, but she didn’t get there by playing by the rules. She was ambitious but grew up in a world where many thought that it was shameful to be female and have a career.
Ostry was a Jewish woman in economics and, even after she earned a Ph.D. from the University of Cambridge, she was denied a job with the United Nations because of her gender. Nevertheless, she had a storied career, becoming the Chairman of the Economic Council of Canada then the Chief Economist at the Organisation for Economic Co-operation and Development (OECD). But we're not focusing on her career highlights. We're going behind the scenes to look at how she challenged herself to succeed, becoming both a respected economist and mother, and how she handled setbacks and discrimination while staying true to herself and demonstrating the integrity for which she's remembered today.

We’re celebrating the 50th anniversary of Sylvia Ostry’s appointment as Chief Statistician. In this episode of Eh Sayers, featuring interviews with her sons, Adam Ostry and Jonathan Ostry, we are pleased to introduce you to this remarkable woman and to share with you eight pieces of advice inspired by her life.
Release date: 2022-10-07
7. The impact of the COVID-19 pandemic on the religiosity of Canadians Archived
Stats in brief: 45-28-0001202200100005
Description:
Using data from the General Social Survey, a new study entitled "The Impact of the COVID-19 Pandemic on the Religiosity of Canadians" examines changes in rates of religious affiliation, frequency of participation in group and individual religious activities, and involvement with religious organizations between 2015 and 2020.

Release date: 2022-07-18
8. Forging ahead during the pandemic: How selected service industries bounced back in 2021 Archived
Stats in brief: 11-621-M2022012
Description:
Using administrative data, such as goods and services tax (GST) revenue, this study assesses how the recovery began to unfold in selected service industries in 2021, the second year of the pandemic, even as supply chain disruptions, labour shortages, skill gaps and inflationary pressures intensified.

Release date: 2022-07-18
9. Analysis on labour challenges in Canada, second quarter of 2022 Archived
Stats in brief: 11-621-M2022011
Description:
Signs of a tightening labour market in Canada have been growing amid elevated labour demand. Based on the results from the Canadian Survey of Business Conditions, this article provides insights on labour related challenges faced by businesses across Canada and how these businesses plan to move forward in light of these challenges. Shortage of labour force, recruiting skilled employees, and retaining skilled employees are leading obstacles businesses expect to face in the short term. In response to these challenges, many businesses plan to have management and current employees to work more hours to address these labour obstacles.

Release date: 2022-06-23
10. Analysis on businesses majority-owned by women, second quarter of 2022 Archived
Stats in brief: 11-621-M2022009
Description: Canadian businesses face many different obstacles in their day-to-day operations. Several factors such as size, industry of operation and region of operation can cause businesses to experience different obstacles affecting their ability to sell to their markets. The obstacles experienced by businesses owned by different segments of the population can also vary. The challenges of businesses majority-owned by women are illustrated within this article. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
Release date: 2022-06-09

Articles and reports (46)

Articles and reports (46) (0 to 10 of 46 results)

1. Characteristics of Indigenous-owned businesses
Articles and reports: 36-28-0001202201200004
Description: In recent years, Statistics Canada has released data and analysis on business ownership by women and persons with disabilities. Furthermore, in an effort to continue to fill the information gap on business ownership by employment equity groups and better inform policy making, Statistics Canada has released, for the first time, time series on Indigenous-owned businesses by sex of ownership and other characteristics such as age of primary owner and province of operation.
Release date: 2022-12-22
2. Sociodemographic disparities in COVID-19 vaccine uptake and vaccination intent in Canada
Articles and reports: 82-003-X202201200004
Description:
Canada’s COVID-19 vaccination campaign began on December 14, 2020 with the arrival of a limited number of doses which were prioritized for high-risk populations, such as the elderly, residents and staff of congregate living settings, frontline healthcare workers, and Indigenous populations. Using data from the COVID-19 Vaccination Coverage Survey (CVCS), this study’s objective was to examine sociodemographic disparities in COVID-19 vaccination uptake and intent by identifying the social and economic determinants associated with vaccination uptake among seniors aged 60 years and older (i.e., those eligible for vaccination at the time of the survey) and the determinants of vaccination intent in the entire adult population.

Release date: 2022-12-21
3. Market Basket Measure Research: Additional income inequality indicators using the Market Basket Measure
Articles and reports: 75F0002M2022007
Description:
This discussion paper introduces three income inequality indicators and presents estimates obtained by applying these indicators to the Canadian Income Survey (CIS) data using the 2018-base MBM methodology. It provides the opportunity to gage the interest of including these three indicators into the current suite of income inequality indicators to facilitate the analysis of existing disparities and obstacles to income equality.

Release date: 2022-12-20
4. Bayes, buttressed by design-based ideas, is the best overarching paradigm for sample survey inference
Articles and reports: 12-001-X202200200001
Description:
Conceptual arguments and examples are presented suggesting that the Bayesian approach to survey inference can address the many and varied challenges of survey analysis. Bayesian models that incorporate features of the complex design can yield inferences that are relevant for the specific data set obtained, but also have good repeated-sampling properties. Examples focus on the role of auxiliary variables and sampling weights, and methods for handling nonresponse. The article offers ten top reasons for favoring the Bayesian approach to survey inference.

Release date: 2022-12-15
5. Comments by Sharon L. Lohr on “Statistical inference with non-probability survey samples”
Articles and reports: 12-001-X202200200005
Description:
Strong assumptions are required to make inferences about a finite population from a nonprobability sample. Statistics from a nonprobability sample should be accompanied by evidence that the assumptions are met and that point estimates and confidence intervals are fit for use. I describe some diagnostics that can be used to assess the model assumptions, and discuss issues to consider when deciding whether to use data from a nonprobability sample.

Release date: 2022-12-15
6. Are deep learning models superior for missing data imputation in surveys? Evidence from an empirical comparison
Articles and reports: 12-001-X202200200009
Description:
Multiple imputation (MI) is a popular approach for dealing with missing data arising from non-response in sample surveys. Multiple imputation by chained equations (MICE) is one of the most widely used MI algorithms for multivariate data, but it lacks theoretical foundation and is computationally intensive. Recently, missing data imputation methods based on deep learning models have been developed with encouraging results in small studies. However, there has been limited research on evaluating their performance in realistic settings compared to MICE, particularly in big surveys. We conduct extensive simulation studies based on a subsample of the American Community Survey to compare the repeated sampling properties of four machine learning based MI methods: MICE with classification trees, MICE with random forests, generative adversarial imputation networks, and multiple imputation using denoising autoencoders. We find the deep learning imputation methods are superior to MICE in terms of computational time. However, with the default choice of hyperparameters in the common software packages, MICE with classification trees consistently outperforms, often by a large margin, the deep learning imputation methods in terms of bias, mean squared error, and coverage under a range of realistic settings.

Release date: 2022-12-15
7. Analysis on businesses majority-owned by immigrants to Canada and businesses majority-owned by racialized persons, fourth quarter of 2022
Articles and reports: 11-621-M2022021
Description:
A variety of different factors impact the ability of Canadian businesses to operate, such as the geographical location of businesses, the industry the businesses operate in, and the size of businesses. Differences may also be apparent when looking at different categories of business owners, as different segments of the Canadian population face different challenges at a personal level, and as owners of businesses. From the beginning of October to early November 2022, Statistics Canada conducted the Canadian Survey on Business Conditions (CSBC) to collect information on the environment businesses are currently operating in and their expectations moving forward. This article explores results from the survey by looking at the businesses majority-owned by immigrants to Canada and businesses majority-owned by racialized persons. While there is some degree of crossover between these two sub-populations, they are two distinct groups and face different challenges. The information and trends presented in this article are based on data collected via the CSBC.

Release date: 2022-12-15
8. Immigrant women among board directors and officers: From admission in Canada to executive roles
Articles and reports: 11-621-M2022017
Description:
This study provides the first socioeconomic profile of immigrant women board directors and officers in Canada from an intersectional lens. Linking data from the Corporations Returns Act with those from the Longitudinal Immigration database, exploratory estimates are presented. The study analyzes characteristics of immigrants at admission and disparities in family, work and income characteristics, mainly by gender and immigrant status. Further, it informs on the types of businesses in which diverse women executives contribute to corporate governance and strategic decision making.

Release date: 2022-12-08
9. Identifying Indigenous Business Owners and Indigenous-Owned Businesses
Articles and reports: 11-633-X2022008
Description:
In recent years, Statistics Canada has made available data on business ownership by individuals in employment equity groups, namely women and persons with disabilities. However, little is known about business ownership among the other two employment equity groups, Indigenous peoples and racialized groups. This article describes the methodology used to fill the data gap on Indigenous business owners and Indigenous-owned businesses and is based on a novel linkage between the Canadian Employer–Employee Dynamics Database (2018), the Census of Population (2001, 2006, 2016) and the 2011 National Household Survey.

Release date: 2022-11-24
10. Health associations with meeting the new Canadian 24-Hour Movement Guidelines recommendations according to body mass index classes in Canadian adults
Articles and reports: 82-003-X202201100001
Description:
Data on meeting the Canadian 24-Hour Movement Guidelines for adults (24-H Guidelines) and associations with health indicators by body mass index (BMI) class are needed to support public health surveillance. Using data from the cross-sectional Canadian Health Measures Survey, this study aims to describe the proportion of Canadian adults meeting individual and various combinations of the 24-H Guidelines by BMI class and their association with health indicators.

Release date: 2022-11-16

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Date modified:: 2024-09-18