Analysis

Skip to main content
Skip to footer

Language selection

Français

Search and menus

Search and menus

Search

Skip to filters. View results.

What’s new on our website

Statistics Canada's Trust Centre

Results

All (37)

All (37) (0 to 10 of 37 results)

1. Canadian potatoes, from farm to fork
Stats in brief: 11-627-M2022086
Description:
The 2021 Census of Agriculture collected data on Canadian potatoes. This infographic highlights a part of the potato value chain by using data from various sources.

Release date: 2022-12-22
2. 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
3. Examining variations in immigrants’ lower risk of suicide-related behaviours
Articles and reports: 75-006-X202200100012
Description:
Based on data from the Canadian Community Health Survey (CCHS) and the Canadian Census Health and Environment Cohort (CanCHEC), this study provides an understanding of suicide-related behaviours, namely suicide ideation and completed suicides, among Canadian immigrants.

Release date: 2022-12-01
4. Changes in the e-commerce strategies of Canadian businesses during the COVID-19 pandemic
Stats in brief: 45-28-0001202200100012
Description:
The onset of the COVID-19 pandemic motivated many Canadian businesses to change their business models in order to adapt to economic restrictions and greater demand for online goods and services. Using data from the 2019 and 2021 Survey of Digital Technology and Internet Use, this article examines selected changes in the e-commerce strategies of Canadian businesses during the pandemic.

Release date: 2022-11-29
5. Youth life satisfaction during the COVID-19 pandemic in a cross-national comparison
Articles and reports: 36-28-0001202201100002
Description:
Little is known about cross-national differences in the decline of youth life satisfaction during the COVID-19 pandemic. This study compares youth in Canada, Germany, Ireland, and the United Kingdom on life satisfaction before and during the pandemic.

Release date: 2022-11-23
6. Female farm operator numbers increase for the first time in 30 years
Articles and reports: 96-325-X202100100013
Description:
This article identifies where the net increase in female farm operators is coming from. It then looks at how female farm operator numbers are reflected in the face of the modernization and adaptation of the agriculture industry.

Release date: 2022-11-23
7. Salt Marshes in Canada
Stats in brief: 11-627-M2022064
Description:
This infographic showcases selected data from the salt marsh ecosystems accounts, which provides a foundation for the development of salt marsh ecosystem accounts and will serve as guidance for the further development of coastal and ocean ecosystem accounts as part of the Census of Environment. These accounts will measure ecosystem extent, condition and services and follow the internationally accepted environmental accounting standard.

Release date: 2022-11-08
8. Valuing the Salt Marsh Ecosystem: Developing Ecosystem Accounts
Articles and reports: 16-001-M2022001
Description: This technical paper provides a foundation for the development of salt marsh ecosystem accounts and will serve as guidance for the further development of coastal and ocean ecosystem accounts as part of the Census of Environment. These accounts will measure ecosystem extent, condition and services and follow the internationally accepted environmental accounting standard.
Release date: 2022-11-08
9. Price Adjustment Guide for Contract Escalation
Articles and reports: 62F0014M2022012
Description:
This resource provides guidance for the development of contract escalation clauses using price indexes developed by Statistics Canada. This guide summarizes important concepts and notions to consider, with a particular focus on the correct interpretation, utilization and reference of Statistics Canada data series.

Release date: 2022-09-22
10. First Nations people, Métis and Inuit in Canada
Stats in brief: 11-627-M2022057
Description:
Based on 2021 Census data, the following infographic shows population statistics for First Nations people, Métis and Inuit in Canada.

Release date: 2022-09-21

Stats in brief (15)

Stats in brief (15) (0 to 10 of 15 results)

1. Canadian potatoes, from farm to fork
Stats in brief: 11-627-M2022086
Description:
The 2021 Census of Agriculture collected data on Canadian potatoes. This infographic highlights a part of the potato value chain by using data from various sources.

Release date: 2022-12-22
2. Changes in the e-commerce strategies of Canadian businesses during the COVID-19 pandemic
Stats in brief: 45-28-0001202200100012
Description:
The onset of the COVID-19 pandemic motivated many Canadian businesses to change their business models in order to adapt to economic restrictions and greater demand for online goods and services. Using data from the 2019 and 2021 Survey of Digital Technology and Internet Use, this article examines selected changes in the e-commerce strategies of Canadian businesses during the pandemic.

Release date: 2022-11-29
3. Salt Marshes in Canada
Stats in brief: 11-627-M2022064
Description:
This infographic showcases selected data from the salt marsh ecosystems accounts, which provides a foundation for the development of salt marsh ecosystem accounts and will serve as guidance for the further development of coastal and ocean ecosystem accounts as part of the Census of Environment. These accounts will measure ecosystem extent, condition and services and follow the internationally accepted environmental accounting standard.

Release date: 2022-11-08
4. First Nations people, Métis and Inuit in Canada
Stats in brief: 11-627-M2022057
Description:
Based on 2021 Census data, the following infographic shows population statistics for First Nations people, Métis and Inuit in Canada.

Release date: 2022-09-21
5. COVID-19 mortality among racialized populations in Canada and its association with income
Stats in brief: 45-28-0001202200100010
Description:
This study explores the 2020 COVID-19 mortality among racialized populations in Canada and its association with income. The results are based on the Canadian Census Health and Environmental Cohort (CanCHEC) which combined the long-form 2016 Census with Canadian Vital Statistics- Death Database from 2016-2020.

Release date: 2022-08-30
6. Inequalities in COVID-19 mortality rates by neighbourhood types in Canada Archived
Stats in brief: 45-28-0001202200100006
Description:
This article explores inequalities in age-standardized COVID-19 mortality rates by six neighbourhood types in Canada. A new geographic classification tool called the Canadian Social Environment Typology (CanSET) is used to understand variations in age-standardized COVID-19 mortality rates by socioeconomic, demographic and ethnocultural characteristics of neighbourhoods in Canada.

Release date: 2022-05-09
7. Confidentiality Vetting Support: Dominance and homogeneity using SAS Archived
Stats in brief: 89-20-00082021001
Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to perform the dominance and homogeneity test while using the Census.
Release date: 2022-04-29
8. Confidentiality Vetting Support: Proportion and round tool using SAS Archived
Stats in brief: 89-20-00082021002
Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to create proportion output for researchers working with confidential data.
Release date: 2022-04-27
9. Confidentiality Vetting Support: Rounding proportions using Stata Archived
Stats in brief: 89-20-00082021003
Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to create proportion output for researchers working with confidential data.
Release date: 2022-04-27
10. Confidentiality Vetting Support: Dominance and homogeneity using the tcensus function (Stata) Archived
Stats in brief: 89-20-00082021004
Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to perform the dominance and homogeneity test while using the Census.
Release date: 2022-04-27

Articles and reports (22)

Articles and reports (22) (0 to 10 of 22 results)

1. 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
2. Examining variations in immigrants’ lower risk of suicide-related behaviours
Articles and reports: 75-006-X202200100012
Description:
Based on data from the Canadian Community Health Survey (CCHS) and the Canadian Census Health and Environment Cohort (CanCHEC), this study provides an understanding of suicide-related behaviours, namely suicide ideation and completed suicides, among Canadian immigrants.

Release date: 2022-12-01
3. Youth life satisfaction during the COVID-19 pandemic in a cross-national comparison
Articles and reports: 36-28-0001202201100002
Description:
Little is known about cross-national differences in the decline of youth life satisfaction during the COVID-19 pandemic. This study compares youth in Canada, Germany, Ireland, and the United Kingdom on life satisfaction before and during the pandemic.

Release date: 2022-11-23
4. Female farm operator numbers increase for the first time in 30 years
Articles and reports: 96-325-X202100100013
Description:
This article identifies where the net increase in female farm operators is coming from. It then looks at how female farm operator numbers are reflected in the face of the modernization and adaptation of the agriculture industry.

Release date: 2022-11-23
5. Valuing the Salt Marsh Ecosystem: Developing Ecosystem Accounts
Articles and reports: 16-001-M2022001
Description: This technical paper provides a foundation for the development of salt marsh ecosystem accounts and will serve as guidance for the further development of coastal and ocean ecosystem accounts as part of the Census of Environment. These accounts will measure ecosystem extent, condition and services and follow the internationally accepted environmental accounting standard.
Release date: 2022-11-08
6. Price Adjustment Guide for Contract Escalation
Articles and reports: 62F0014M2022012
Description:
This resource provides guidance for the development of contract escalation clauses using price indexes developed by Statistics Canada. This guide summarizes important concepts and notions to consider, with a particular focus on the correct interpretation, utilization and reference of Statistics Canada data series.

Release date: 2022-09-22
7. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, September 2022 Archived
Articles and reports: 81-582-X2022002
Description: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. PCEIP products include tables, fact sheets, reports and a methodological handbook. They present indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. The Pan-Canadian Education Indicators Program (PCEIP) is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
Release date: 2022-09-08
8. Traffic volume estimation from traffic camera imagery: Toward real-time traffic data streams
Articles and reports: 18-001-X2022001
Description:
Monitoring traffic in large urban areas remains a challenge for both practical and technical reasons. This paper presents a computer vision-based system to periodically extract vehicle counts from Canadian traffic camera imagery.

Release date: 2022-09-06
9. Indigenous Peoples Economic Account: Methodology and Preliminary Results
Articles and reports: 13-604-M2022001
Description: This articles outlines the methodology and some early results obtained from the Indigenous Peoples Economic Account pilot-project developed by Statistics Canada. This economic account includes economic indicators (GDP, output and total number of jobs) as well as a human resource module (HRM). The HRM provides additional demographic socio-economic information about the Indigenous paid workers holding a job, such as sex or education level. The estimates are available by industry and province/territory.
Release date: 2022-08-29
10. Exploring the business dynamics of self-employed child care service providers
Articles and reports: 36-28-0001202200800003
Description:
Child care in Canada is essential for supporting paid employment for parents, particularly women who do the majority of child care work. This paper examines the characteristics and evolution of the population of small home daycares and their operators that are ubiquitous throughout Canada. It fills an information gap in the current understanding of the child care market in Canada by providing information about the entrepreneurs that run home child cares, their families and their incomes.

Release date: 2022-08-24

Journals and periodicals (0)

Journals and periodicals (0) (0 results)

No content available at this time.

Report a problem or mistake on this page

Date modified:: 2024-05-21