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Statistics Canada's Trust Centre

Results

All (62)

All (62) (20 to 30 of 62 results)

21. Do cancer incidence and mortality rates differ among ethnicities in Canada?
Articles and reports: 82-003-X202100800001
Description:
Cancer incidence rates have been shown to vary by ethnicity, and the increasing awareness of and interest in reporting ethnic health inequalities have been growing internationally. The objective of this study was to assess cancer incidence and mortality rates by ethnicity in Canada. The study used the 2006 Canadian Census Health and Environment Cohort, linked to the Canadian Cancer Registry and the Canadian Vital Statistics-Death Database, to determine cancer cases and mortality from 2006 to 2016. Ethnicity was categorized as non-Indigenous North American (NINA); European; Caribbean; Latin, Central and South American (LCSA); African; East Asian; South Asian; and West Central Asian and Middle Eastern.

Release date: 2021-08-18
22. Prevalence of handheld laser device use, exposure and associated injury
Articles and reports: 82-003-X202100800002
Description:
With data from the 2019 Canadian Community Health Survey, this study assessed the use of and exposure to handheld laser devices by Canadians and the potential associated health risks. In addition to the prevalence of handheld laser exposure or use, the frequency and type of injury sustained, and whether the injury was the result of personal use or someone else's use, the study also determined the type of handheld laser device being used and where the device was obtained.
Release date: 2021-08-18
23. Financial impacts of the pandemic on the culture, arts, entertainment and recreation industries in 2020 Archived
Stats in brief: 45-28-0001202100100033
Description:
The COVID-19 pandemic abruptly disrupted many businesses that create and distribute arts and culture or offer recreational activities. This study looks at preliminary operating revenue estimates and labour-related expenses for the culture, arts, entertainment and recreation sectors in 2020.
Release date: 2021-08-17
24. Workers' experiences of inappropriate sexualized behaviours, sexual assault and gender-based discrimination in the Canadian provinces, 2020
Articles and reports: 85-002-X202100100015
Description:
This Juristat article presents findings on the prevalence, characteristics and impacts of inappropriate sexualized behaviours, discrimination and sexual assault in Canadian workplaces. Using data from the 2020 Survey on Sexual Misconduct at work, it explores the experiences of workers aged 15 and older in the Canadian provinces. The context in which these experiences occurred-for example, where they happened and who was responsible-combined with information on demographics, occupation and workplace characteristics provides insight into Canadians' experiences of misconduct while at work. This analysis also provides information on workers' attitudes about behaviours related to misconduct and their perception of their employers' response.

Release date: 2021-08-12
25. Sexual misconduct and gender-based discrimination at work, 2020 Archived
Stats in brief: 11-627-M2021061
Description:
Key findings about workplace sexual misconduct in the Canadian provinces are presented in this infographic, including statistics on inappropriate sexualized behaviours and discrimination based on sexual orientation and gender identity. Data on workers' attitudes about their workplace and about information that they received from their employer are also presented.

Release date: 2021-08-12
26. Experimental estimates of family weekly income, January 2020 to March 2021
Articles and reports: 75F0002M2021006
Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-07-28
27. Data profile: Expanding the research potential of the Canadian Health Measures Survey using paired respondent data
Articles and reports: 82-003-X202100700001
Description:
The family environment is an important influence on the health and behaviours of children. Few large-scale datasets include detailed and objectively measured health data about multiple individuals from the same family who are living in the same household. The Canadian Health Measures Survey (CHMS) is a repeating, cross-sectional survey that selects two members of a household-a child and a randomly selected older member of the household aged 12 to 79 years-with at least one child aged 3 to 11 years in residence. These paired respondent records, available in the CHMS relationship files, provide unique opportunities to researchers interested in examining associations between two members of the same household for health behaviours and outcomes. This paper highlights the unique features, recommendations for use and research potential of paired data in the CHMS relationship files.
Release date: 2021-07-21
28. Acute-care hospitalizations among First Nations people, Inuit and Métis: Results from the 2006 and 2011 Canadian Census Health and Environment Cohorts
Articles and reports: 82-003-X202100700002
Description:
The objective of this study was to describe sex-specific hospitalization rates among Indigenous people in Canada (excluding Quebec), separately for First Nations people living on and off reserve, Inuit living in Inuit Nunangat (excluding Nunavik), Métis, and the non-Indigenous population. The 2006 and 2011 Canadian Census Health and Environment Cohorts (CanCHECs) were used, allowing hospital records to be examined by Indigenous identity as reported on the census. The following research questions were addressed: (1) How do leading causes of hospitalization and rates from the 2006 cohort compare with those from the 2011 cohort? (2) How do leading causes of hospitalization and rates differ for females and males and by Indigenous group? (3) What are the largest disparities in hospitalization rates between Indigenous and non-Indigenous females and males?

Release date: 2021-07-21
29. Outlook of rural businesses and impacts related to COVID-19, second quarter of 2021 Archived
Stats in brief: 45-28-0001202100100028
Description:
This article examines some of the effects of COVID-19 on rural businesses in Canada, with comparison to urban counterparts by industry for contextual support. Topics include business obstacles, expectations for the next year, workforce changes and other subjects from the Canadian Survey on Business Conditions, second quarter of 2021.
Release date: 2021-07-09
30. Technical Guide for the Wholesale Services Price Index (WSPI)
Articles and reports: 62F0014M2021013
Description:
This article presents the data sources and methodology for the Wholesale Services Price Index (WSPI). The WSPI measures the monthly and the quarterly changes in the price of wholesale services in Canada. The index is an indicator of economic activity in the wholesales services sector, as well as a tool that can be utilized by the industry for cost monitoring, contract assessment and benchmark comparisons.
Release date: 2021-06-30

Stats in brief (22)

Stats in brief (22) (20 to 30 of 22 results)

21. Postsecondary education planning before and during the COVID-19 lockdown Archived
Stats in brief: 45-28-0001202100100002
Description:
This article examines whether parental expectations of their children to attain further education and their plans for helping their children with the financial aspects of postsecondary education—through savings and other means—have changed since the arrival of COVID-19. The analysis is based on the Survey of Approaches to Educational Planning (SAEP), conducted between February 2 and June 20, 2020.
Release date: 2021-01-27
22. Crop Condition Assessment Program during the 2020 growing season Archived
Stats in brief: 11-627-M2021001
Description:
Crop Condition Assessment Program is essential to provide timely and reliable information for management decisions on agricultural land conditions across Canada on a weekly basic. This infographic summarizes the 2020 crop growing season by showing the crop conditions when the vegetation growing indice is at his summit across Canada. It also emphasizes the availability of the data on multiple open platforms.
Release date: 2021-01-12

Articles and reports (40)

Articles and reports (40) (0 to 10 of 40 results)

1. The prevalence and correlates of workplace infection control practices in Canada between July and September 2020
Articles and reports: 82-003-X202101100002
Description:
There are important information gaps concerning the prevalence and distribution of infection control practices within workplaces continuing to operate during the COVID-19 pandemic.
Release date: 2021-11-17
2. Measuring Social Capital at the Neighbourhood Level: Experimental Estimates of Sense of Belonging to the Local Community Measured at the Census Tract Level
Articles and reports: 11-633-X2021007
Description:
Statistics Canada continues to use a variety of data sources to provide neighbourhood-level variables across an expanding set of domains, such as sociodemographic characteristics, income, services and amenities, crime, and the environment. Yet, despite these advances, information on the social aspects of neighbourhoods is still unavailable. In this paper, answers to the Canadian Community Health Survey on respondents’ sense of belonging to their local community were pooled over the four survey years from 2016 to 2019. Individual responses were aggregated up to the census tract (CT) level.
Release date: 2021-11-16
3. Statistics Netherlands and AI Archived
Articles and reports: 11-522-X202100100011
Description: The ways in which AI may affect the world of official statistics are manifold and Statistics Netherlands (CBS) is actively exploring how it can use AI within its societal role. The paper describes a number of AI-related areas where CBS is currently active: use of AI for its own statistics production and statistical R&D, the development of a national AI monitor, the support of other government bodies with expertise on fair data and fair algorithms, data sharing under safe and secure conditions, and engaging in AI-related collaborations.
Key Words: Artificial Intelligence; Official Statistics; Data Sharing; Fair Algorithms; AI monitoring; Collaboration.
Release date: 2021-11-05
4. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, November 2021 Archived
Articles and reports: 81-582-X2021003
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: 2021-11-01
5. An Approximate Bayesian Approach to Improving Probability Sample Estimators Using a Supplementary Non-Probability Sample Archived
Articles and reports: 11-522-X202100100008
Description:
Non-probability samples are being increasingly explored by National Statistical Offices as a complement to probability samples. We consider the scenario where the variable of interest and auxiliary variables are observed in both a probability and non-probability sample. Our objective is to use data from the non-probability sample to improve the efficiency of survey-weighted estimates obtained from the probability sample. Recently, Sakshaug, Wisniowski, Ruiz and Blom (2019) and Wisniowski, Sakshaug, Ruiz and Blom (2020) proposed a Bayesian approach to integrating data from both samples for the estimation of model parameters. In their approach, non-probability sample data are used to determine the prior distribution of model parameters, and the posterior distribution is obtained under the assumption that the probability sampling design is ignorable (or not informative). We extend this Bayesian approach to the prediction of finite population parameters under non-ignorable (or informative) sampling by conditioning on appropriate survey-weighted statistics. We illustrate the properties of our predictor through a simulation study.
Key Words: Bayesian prediction; Gibbs sampling; Non-ignorable sampling; Statistical data integration.

Release date: 2021-10-29
6. Growing Regression Trees that Use Sampling Frame Covariates to Explore Response Burden for Use in Survey Design Archived
Articles and reports: 11-522-X202100100024
Description: The Economic Directorate of the U.S. Census Bureau is developing coordinated design and sample selection procedures for the Annual Integrated Economic Survey. The unified sample will replace the directorate’s existing practice of independently developing sampling frames and sampling procedures for a suite of separate annual surveys, which optimizes sample design features at the cost of increased response burden. Size attributes of business populations, e.g., revenues and employment, are highly skewed. A high percentage of companies operate in more than one industry. Therefore, many companies are sampled into multiple surveys compounding the response burden, especially for “medium sized” companies.
This component of response burden is reduced by selecting a single coordinated sample but will not be completely alleviated. Response burden is a function of several factors, including (1) questionnaire length and complexity, (2) accessibility of data, (3) expected number of repeated measures, and (4) frequency of collection. The sample design can have profound effects on the third and fourth factors. To help inform decisions about the integrated sample design, we use regression trees to identify covariates from the sampling frame that are related to response burden. Using historic frame and response data from four independently sampled surveys, we test a variety of algorithms, then grow regression trees that explain relationships between expected levels of response burden (as measured by response rate) and frame covariates common to more than one survey. We validate initial findings by cross-validation, examining results over time. Finally, we make recommendations on how to incorporate our robust findings into the coordinated sample design.
Release date: 2021-10-29
7. Lower body bone structure and muscle function in Canadian older adults and seniors, 2016 to 2019
Articles and reports: 82-625-X202100100004
Description:
This document provides descriptive results of the muscle and bone density of the tibia. Descriptive results for lower limb muscle power and force are also presented.

Release date: 2021-10-27
8. Administrative data for the estimation of population counts: Statistical learning from the first waves of Italian Permanent Population Census Archived
Articles and reports: 11-522-X202100100005
Description: The Permanent Census of Population and Housing is the new census strategy adopted in Italy in 2018: it is based on statistical registers combined with data collected through surveys specifically designed to improve registers quality and assure Census outputs. The register at the core of the Permanent Census is the Population Base Register (PBR), whose main administrative sources are the Local Population Registers. The population counts are determined correcting the PBR data with coefficients based on the coverage errors estimated with surveys data, but the need for additional administrative sources clearly emerged while processing the data collected with the first round of Permanent Census. The suspension of surveys due to global-pandemic emergency, together with a serious reduction in census budget for next years, makes more urgent a change in estimation process so to use administrative data as the main source. A thematic register has been set up to exploit all the additional administrative sources: knowledge discovery from this database is essential to extract relevant patterns and to build new dimensions called signs of life, useful for population estimation. The availability of the collected data of the two first waves of Census offers a unique and valuable set for statistical learning: association between surveys results and ‘signs of life’ could be used to build classification model to predict coverage errors in PBR. This paper present the results of the process to produce ‘signs of life’ that proved to be significant in population estimation.
Key Words: Administrative data; Population Census; Statistical Registers; Knowledge discovery from databases.
Release date: 2021-10-22
9. Creation of a composite quality indicator for administrative data-based estimates using clustering Archived
Articles and reports: 11-522-X202100100015
Description: National statistical agencies such as Statistics Canada have a responsibility to convey the quality of statistical information to users. The methods traditionally used to do this are based on measures of sampling error. As a result, they are not adapted to the estimates produced using administrative data, for which the main sources of error are not due to sampling. A more suitable approach to reporting the quality of estimates presented in a multidimensional table is described in this paper. Quality indicators were derived for various post-acquisition processing steps, such as linkage, geocoding and imputation, by estimation domain. A clustering algorithm was then used to combine domains with similar quality levels for a given estimate. Ratings to inform users of the relative quality of estimates across domains were assigned to the groups created. This indicator, called the composite quality indicator (CQI), was developed and experimented with in the Canadian Housing Statistics Program (CHSP), which aims to produce official statistics on the residential housing sector in Canada using multiple administrative data sources.
Keywords: Unsupervised machine learning, quality assurance, administrative data, data integration, clustering.
Release date: 2021-10-22
10. Harnessing Natural Language Processing and Machine Learning to Enhance Identification of Opioid-involved Health Outcomes in the National Hospital Care Survey Archived
Articles and reports: 11-522-X202100100016
Description: To build data capacity and address the U.S. opioid public health emergency, the National Center for Health Statistics received funding for two projects. The projects involve development of algorithms that use all available structured and unstructured data submitted for the 2016 National Hospital Care Survey (NHCS) to enhance identification of opioid-involvement and the presence of co-occurring disorders (coexistence of a substance use disorder and a mental health issue). A description of the algorithm development process is provided, and lessons learned from integrating data science methods like natural language processing to produce official statistics are presented. Efforts to make the algorithms and analytic datafiles accessible to researchers are also discussed.
Key Words: Opioids; Co-Occurring Disorders; Data Science; Natural Language Processing; Hospital Care
Release date: 2021-10-22

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Date modified:: 2024-07-31