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All (138) (0 to 10 of 138 results)

  • Articles and reports: 18-001-X2024001
    Description: This study applies small area estimation (SAE) and a new geographic concept called Self-contained Labor Area (SLA) to the Canadian Survey on Business Conditions (CSBC) with a focus on remote work opportunities in rural labor markets. Through SAE modelling, we estimate the proportions of businesses, classified by general industrial sector (service providers and goods producers), that would primarily offer remote work opportunities to their workforce.
    Release date: 2024-04-22

  • Articles and reports: 11-522-X202200100005
    Description: Sampling variance smoothing is an important topic in small area estimation. In this paper, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis indicate that the proposed sampling variance smoothing methods work very well for small area estimation.
    Release date: 2024-03-25

  • Articles and reports: 75-006-X202400100001
    Description: Using data from the Canadian Community Health Survey, this study examines men’s and women’s coverage for four types of drug insurance plans (government-sponsored, employer-sponsored, association-sponsored and private drug insurance plans), disaggregated by various socioeconomic, demographic and geographical factors. The study further examines the extent of cost-related medication non-adherence among men and women, disaggregated by type of drug insurance plan.
    Release date: 2024-01-10

  • Articles and reports: 41-20-00022023005
    Description: Using combined data from the Canadian Community Health Survey (CCHS) from 2017 to 2020, this study examines various indicators of access to primary health care providers (referred to as regular health care providers in the CCHS) and usual places of care among First Nations people living off reserve, Métis and Inuit. These indicators are explored by various socio-demographic characteristics, including sex, age, income, region, and remoteness.
    Release date: 2023-10-06

  • Articles and reports: 82-003-X202300600002
    Description: Traumatic brain injuries (TBIs) are a major public health concern impacting the lives of many Canadians. Among all TBIs, concussions are the most common. However, to date, the incidence of concussions among the Canadian population has remained unknown. To address this data surveillance gap, this study presents national estimates on the percentage of Canadians aged 12 years or older (excluding those living in the territories) who sustained one or more concussions in 2019.
    Release date: 2023-06-21

  • 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

  • Stats in brief: 89-20-00062022004
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.

    As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.

    Release date: 2022-10-17

  • Stats in brief: 89-20-00062022005
    Description:

    In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?

    Release date: 2022-10-17

  • Articles and reports: 62F0014M2022010
    Description: In 2021, Canada recorded its highest annual increase in the Consumer Price Index (CPI) since 1991, as global supply-chains felt the repercussions of the COVID-19 pandemic, transportation and supply disruptions, and rebounding energy prices – all alongside the effects of the climate crisis.

    This analysis uses price data from the Industrial Product Price Index (IPPI), the Wholesale Services Price Index (WSPI), the Retail Services Price Index (RSPI), and the CPI to detail how manufacturers price movement works it way through the supply-chain to ultimately inform the price consumers pay for beef.

    Release date: 2022-09-02

  • Stats in brief: 45-28-0001202200100007
    Description:

    This article uses administrative data from the Canada Emergency Response Benefit (CERB) program linked to the 2016 long-form Census to examine socio-economic characteristics of Indigenous workers who received the benefit between March and September 2020. Proportions of workers who received payment are presented by age group, sex, province or region, industry of employment, income and size of business as well as for First Nations, Métis and Inuit workers separately.

    Release date: 2022-08-03
Stats in brief (14)

Stats in brief (14) (0 to 10 of 14 results)

  • Stats in brief: 89-20-00062022004
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.

    As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.

    Release date: 2022-10-17

  • Stats in brief: 89-20-00062022005
    Description:

    In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?

    Release date: 2022-10-17

  • Stats in brief: 45-28-0001202200100007
    Description:

    This article uses administrative data from the Canada Emergency Response Benefit (CERB) program linked to the 2016 long-form Census to examine socio-economic characteristics of Indigenous workers who received the benefit between March and September 2020. Proportions of workers who received payment are presented by age group, sex, province or region, industry of employment, income and size of business as well as for First Nations, Métis and Inuit workers separately.

    Release date: 2022-08-03

  • Stats in brief: 45-28-0001202200100001
    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, fourth quarter of 2021.

    Release date: 2022-01-12

  • Stats in brief: 45-28-0001202100100038
    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, third quarter of 2021.

    Release date: 2021-10-18

  • Stats in brief: 45-28-0001202100100018
    Description:

    Colorectal cancer screening, along with other health care services, was suspended in Canada in the initial phase of the COVID-19 pandemic response. This pause was deemed necessary to allow health care facilities to establish appropriate infection-control measures to prevent COVID-19 outbreaks and to reserve health system capacity for COVID-19 patients. The current article projects the impact of a three-month suspension of screening for colorectal cancer using a fecal test for average-risk individuals, and compares strategies to minimize the harm from screening interruptions. The projections come from OncoSim, a cancer microsimulation model co-developed by Statistics Canada and the Canadian Partnership Against Cancer.

    Release date: 2021-06-17

  • Stats in brief: 45-28-0001202100100004
    Description:

    The risks of mortality due to COVID-19 have been found to be higher for some Canadians (e.g., older population, especially those living in long term care residences, etc.). For Canadians living in close quarters there could also be an increased risk. This article examines the rate of mortality due to COVID-19 associated with people living in different types of private dwellings in Quebec and Ontario. Additionally, the size of the household and the living arrangements are also explored among individuals.

    Release date: 2021-04-13

  • Stats in brief: 11-627-M2020088
    Description:

    Using a custom tabulation of data from the Monthly Retail Trade Survey, this infographic provides a graphical analysis of retail e-commerce vs. in-store sales for selected industries in response to the COVID-19 pandemic.

    Release date: 2021-02-05

  • Stats in brief: 45-28-0001202000100082
    Description:

    This article examines how the self-reported health and mental health of people with long-term health conditions or disabilities has changed since the start of the COVID-19 pandemic explored by age, sex and type of reported difficulty. Additionally, the rates of health service disruptions are explored by type of service and region.

    Release date: 2020-10-07

  • Stats in brief: 45-28-0001202000100067
    Description:

    This article presents an impact analysis and 2020 outlook for the For-hire Motor Carrier Freight Services Price Index (FHMCFSPI) amid the COVID-19 pandemic. The FHMCFSPI represents the change in the price of for-hire motor carrier freight services, which are services of goods transportation provided by the trucking industry.

    Release date: 2020-08-17
Articles and reports (122)

Articles and reports (122) (40 to 50 of 122 results)

  • Articles and reports: 82-003-X201701154886
    Description:

    This study examines perinatal outcomes among First Nations, Inuit and Métis. The objective is to describe and compare rates of preterm birth, small-for-gestational age birth, large-for-gestational age birth, stillbirth and infant mortality in the three Indigenous groups and the non-Indigenous population.

    Release date: 2017-11-15

  • Articles and reports: 82-003-X201701054875
    Description:

    This article examines the extent to which children and youth meet the recommendations in the Guidelines. Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep.

    Release date: 2017-10-18

  • Articles and reports: 11-621-M2017103
    Description:

    Gasoline and fuel oil, products whose price movements closely reflect underlying changes in the price of crude oil, have a greater influence on the Consumer Price Index (CPI) in the Atlantic Provinces compared with the rest of Canada. This paper explores how the higher basket shares for gasoline and fuel oil in Atlantic Canada help shed light on why these oil-linked products have a greater influence on the rate of inflation in this region.

    Release date: 2017-06-23

  • Articles and reports: 82-003-X201601214686
    Description:

    This study examines birth and death registration data and census data to compare rates of preterm birth, small-for-gestational-age birth, stillbirth and infant mortality, based on the presence or absence of paternal data on the birth registration and in census results, while controlling for maternal characteristics.

    Release date: 2016-12-21

  • Articles and reports: 11F0019M2016386
    Description:

    This paper asks whether research and development (R&D) drives the level of competitiveness required to successfully enter export markets and whether, in turn, participation in export markets increases R&D expenditures. Canadian non-exporters that subsequently entered export markets in the first decade of the 2000s are found to be not only larger and more productive, as has been reported for previous decades, but also more likely to have invested in R&D. Both extramural R&D expenditures (purchased from domestic and foreign suppliers) and intramural R&D expenditures (performed in-house) increase the ability of firms to penetrate export markets. Exporting also has a significant impact on subsequent R&D expenditures; exporters are more likely to start investing in R&D. Firms that began exporting increased the intensity of extramural R&D expenditures in the year in which exporting occurred.

    Release date: 2016-11-28

  • Articles and reports: 12-001-X201600114540
    Description:

    In this paper, we compare the EBLUP and pseudo-EBLUP estimators for small area estimation under the nested error regression model and three area level model-based estimators using the Fay-Herriot model. We conduct a design-based simulation study to compare the model-based estimators for unit level and area level models under informative and non-informative sampling. In particular, we are interested in the confidence interval coverage rate of the unit level and area level estimators. We also compare the estimators if the model has been misspecified. Our simulation results show that estimators based on the unit level model perform better than those based on the area level. The pseudo-EBLUP estimator is the best among unit level and area level estimators.

    Release date: 2016-06-22

  • Articles and reports: 12-001-X201600114542
    Description:

    The restricted maximum likelihood (REML) method is generally used to estimate the variance of the random area effect under the Fay-Herriot model (Fay and Herriot 1979) to obtain the empirical best linear unbiased (EBLUP) estimator of a small area mean. When the REML estimate is zero, the weight of the direct sample estimator is zero and the EBLUP becomes a synthetic estimator. This is not often desirable. As a solution to this problem, Li and Lahiri (2011) and Yoshimori and Lahiri (2014) developed adjusted maximum likelihood (ADM) consistent variance estimators which always yield positive variance estimates. Some of the ADM estimators always yield positive estimates but they have a large bias and this affects the estimation of the mean squared error (MSE) of the EBLUP. We propose to use a MIX variance estimator, defined as a combination of the REML and ADM methods. We show that it is unbiased up to the second order and it always yields a positive variance estimate. Furthermore, we propose an MSE estimator under the MIX method and show via a model-based simulation that in many situations, it performs better than other ‘Taylor linearization’ MSE estimators proposed recently.

    Release date: 2016-06-22

  • Articles and reports: 82-003-X201600114306
    Description:

    This article is an overview of the creation, content, and quality of the 2006 Canadian Birth-Census Cohort Database.

    Release date: 2016-01-20

  • Articles and reports: 82-003-X201501214293
    Description:

    The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.

    Release date: 2015-12-16

  • Articles and reports: 82-003-X201501214294
    Description:

    This analysis employs a validated microsimulation model of breast cancer, adapted to the Canadian context, to predict health outcomes associated with different digital mammography screening strategies (including No Screening) across different age ranges. The model estimates the benefits, harms, limitations, and use of resources for each strategy.

    Release date: 2015-12-16
Journals and periodicals (2)

Journals and periodicals (2) ((2 results))

  • Journals and periodicals: 15-548-X
    Description:

    This document describes all aspects of output-based Gross Domestic Product (GDP), also known as GDP by industry or simply monthly GDP. It contains a comprehensive record of specific methodologies and data sources, on an industry by industry basis.

    It is meant to complement a previous Statistics Canada publication, released in November 2002, entitled Gross Domestic Product by Industry, Sources and Methods (Catalogue no. 15-547), which discusses in general terms the concepts, definitions, classifications and statistical methods underlying the monthly GDP measures.

    Release date: 2006-02-28

  • Journals and periodicals: 89F0117X
    Geography: Canada
    Description:

    This report outlines some initial results from the School Component of the first and second cycles of the National Longitudinal Survey of Children and Youth (NLSCY). It examines the longitudinal influence of Early Childhood Care and Education and literacy activities on young children's future academic and cognitive outcomes. This overview highlights the information newly available from this component of the survey; it is not comprehensive in its coverage or its analysis. Indeed, the information collected by the NLSCY is so rich and detailed that researchers and analysts will be using it to address a variety of important questions concerning the education of children and youth in Canada for many years to come. Here then, we are merely scratching the surface to stimulate awareness of this rich new data source, and to illustrate the kinds of analyses it makes possible.

    Release date: 1999-10-14
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