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All (196) (0 to 10 of 196 results)

  • 1. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, March 2024
    Articles and reports: 81-582-X2024001
    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: 2024-03-28
  • 2. A Model-based Disaggregation Method for Estimation of Adult Competency Archived
    Articles and reports: 11-522-X202200100003
    Description: Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels. The method is applied to adult literacy and numeracy estimation at the county-by-group-level, using data from the U.S. Program for the International Assessment of Adult Competencies. In this application the groups are defined in terms of age or education, but the method could be applied to estimation of other equity-deserving groups.
    Release date: 2024-03-25
  • 3. Model-based stratification of payment populations in Medicare integrity investigations
    Articles and reports: 12-001-X202300200001
    Description: When a Medicare healthcare provider is suspected of billing abuse, a population of payments X made to that provider over a fixed timeframe is isolated. A certified medical reviewer, in a time-consuming process, can determine the overpayment Y = X - (amount justified by the evidence) associated with each payment. Typically, there are too many payments in the population to examine each with care, so a probability sample is selected. The sample overpayments are then used to calculate a 90% lower confidence bound for the total population overpayment. This bound is the amount demanded for recovery from the provider. Unfortunately, classical methods for calculating this bound sometimes fail to provide the 90% confidence level, especially when using a stratified sample.

    In this paper, 166 redacted samples from Medicare integrity investigations are displayed and described, along with 156 associated payment populations. The 7,588 examined (Y, X) sample pairs show (1) Medicare audits have high error rates: more than 76% of these payments were considered to have been paid in error; and (2) the patterns in these samples support an “All-or-Nothing” mixture model for (Y, X) previously defined in the literature. Model-based Monte Carlo testing procedures for Medicare sampling plans are discussed, as well as stratification methods based on anticipated model moments. In terms of viability (achieving the 90% confidence level) a new stratification method defined here is competitive with the best of the many existing methods tested and seems less sensitive to choice of operating parameters. In terms of overpayment recovery (equivalent to precision) the new method is also comparable to the best of the many existing methods tested. Unfortunately, no stratification algorithm tested was ever viable for more than about half of the 104 test populations.
    Release date: 2024-01-03
  • 4. Bayesian small area models under inequality constraints with benchmarking and double shrinkage
    Articles and reports: 12-001-X202300200004
    Description: We present a novel methodology to benchmark county-level estimates of crop area totals to a preset state total subject to inequality constraints and random variances in the Fay-Herriot model. For planted area of the National Agricultural Statistics Service (NASS), an agency of the United States Department of Agriculture (USDA), it is necessary to incorporate the constraint that the estimated totals, derived from survey and other auxiliary data, are no smaller than administrative planted area totals prerecorded by other USDA agencies except NASS. These administrative totals are treated as fixed and known, and this additional coherence requirement adds to the complexity of benchmarking the county-level estimates. A fully Bayesian analysis of the Fay-Herriot model offers an appealing way to incorporate the inequality and benchmarking constraints, and to quantify the resulting uncertainties, but sampling from the posterior densities involves difficult integration, and reasonable approximations must be made. First, we describe a single-shrinkage model, shrinking the means while the variances are assumed known. Second, we extend this model to accommodate double shrinkage, borrowing strength across means and variances. This extended model has two sources of extra variation, but because we are shrinking both means and variances, it is expected that this second model should perform better in terms of goodness of fit (reliability) and possibly precision. The computations are challenging for both models, which are applied to simulated data sets with properties resembling the Illinois corn crop.
    Release date: 2024-01-03
  • 5. Are “immortals” an issue for survival estimates derived from Canadian Cancer Registry data?
    Articles and reports: 82-003-X202301200002
    Description: The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as “immortals”, and their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which “statistical” cure has been reported with that of similar people from the general population.
    Release date: 2023-12-20
  • 6. Experiences of Canadians with long-term symptoms following COVID-19
    Articles and reports: 75-006-X202300100015
    Description: This study uses data from the Canadian COVID-19 Antibody and Health Survey to describe the current COVID-19 landscape, including infection, reinfection, and acute and long-term symptoms. This study also examines how peoples’ experiences with the virus have evolved in the context of growing immunity, emerging variants, new treatments, and relaxation of public health measures.
    Release date: 2023-12-08
  • 7. Pedestrian Fatalities in Canada, 2018 to 2020
    Stats in brief: 11-627-M2023059
    Description: This infographic presents information on pedestrian fatalities collected from the Canadian Coroner and Medical Examiner Database (CCMED). This infographic illustrates demographic profile of the deceased such as sex and age. The product also summarizes information on select circumstances surrounding pedestrian fatalities.
    Release date: 2023-10-30
  • 8. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, October 2023 Archived
    Articles and reports: 81-582-X2023002
    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: 2023-10-13
  • 9. Strong revenue growth for service industries in 2022
    Articles and reports: 11-621-M2023012
    Description: Using administrative data, such as goods and services tax (GST) revenue, this study assesses how changing conditions in the economy, such as the end of pandemic-related restrictions, inflationary pressures, strong population growth, tight labour markets and rising interest rates-affected selected service industries in 2022.
    Release date: 2023-08-15
  • 10. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, March 2023 Archived
    Articles and reports: 81-582-X2023001
    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: 2023-03-27
Stats in brief (15)

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

  • 1. Pedestrian Fatalities in Canada, 2018 to 2020
    Stats in brief: 11-627-M2023059
    Description: This infographic presents information on pedestrian fatalities collected from the Canadian Coroner and Medical Examiner Database (CCMED). This infographic illustrates demographic profile of the deceased such as sex and age. The product also summarizes information on select circumstances surrounding pedestrian fatalities.
    Release date: 2023-10-30
  • 2. Stats are on the menu! Canada’s restaurant industry Archived
    Stats in brief: 11-627-M2021025
    Description:

    This infographic highlights a selection of statistics on restaurants, bars and caterers in Canada.

    Release date: 2021-03-25
  • 3. Mental Health Status of Canadian Immigrants During the COVID-19 Pandemic Archived
    Stats in brief: 45-28-0001202000100050
    Description:

    This analytical article describes results from the crowdsourced survey "Impacts of COVID-19 on Canadians: Your mental health" with a focus on the mental health of immigrants during the COVID-19 pandemic. More specifically, this article explores the effects of social distancing on mental health, how the pandemic affects the symptoms of anxiety, and how perceived job and financial security affects mental health. This article also discuss the mental health differences between recent immigrants, established immigrants and Canadian born.

    Release date: 2020-07-14
  • 4. Inorganic-related arsenic concentrations in Canadians, 2014 and 2015 Archived
    Stats in brief: 82-625-X201800154918
    Description:

    Cycle 4 (2014 and 2015) of the Canadian Health Measures Survey (CHMS), measured the concentrations of the inorganic-related arsenic species (arsenate, arsenite, DMA and MMA) in the urine of approximately 2500 Canadians aged 3 to 79. Results were reported in micrograms of arsenic per litre (µg As/L).

    Release date: 2018-02-22
  • 5. Paraben concentrations in Canadians, 2014 and 2015 Archived
    Stats in brief: 82-625-X201800154919
    Description:

    In 2014 and 2015, the Canadian Health Measures Survey (CHMS) measured the concentrations of parabens (including methyl paraben, ethyl paraben, propyl paraben, and butyl paraben) in the urine of approximately 2500 Canadians aged 3 to 79. Results were reported in micrograms per litre (µg/L).

    Release date: 2018-02-22
  • 6. Age-specific patterns in the incidence of, and survival from, pancreatic cancer in Canada Archived
    Stats in brief: 82-624-X201700114799
    Description:

    This article examines age-specific patterns in the national rates of newly diagnosed cases of pancreatic cancer. Age-specific measures of survival from pancreatic cancer are also examined.

    Release date: 2017-04-26
  • 7. Updating the standard population and its effect on cancer incidence and mortality rates Archived
    Stats in brief: 82-624-X201600114667
    Description:

    This article describes the impact on age-standardized cancer incidence and mortality rates of an update to the standard population used to derive them. The impact is assessed by cancer type and by province for 2012, and on trends in cancer rates from 1992 to 2012. Data are from the Canadian Cancer Registry and the Canadian Vital Statistics – Death Database.

    Release date: 2016-10-20
  • 8. Scientific and Technological Activities of Provincial Governments and Provincial Research Organizations, 2003/2004 to 2007/2008 Archived
    Stats in brief: 88-001-X200900711026
    Description:

    The information in this document is intended primarily to be used by scientific and technological (S&T) policy makers, both federal and provincial, largely as a basis for inter-provincial and inter-sectoral comparisons. The statistics are aggregates of the provincial government and provincial research organization science surveys conducted by Statistics Canada under contract with the provinces, and cover the period 2002/2003 to 2006/2007.

    Release date: 2009-11-20
  • 9. Industrial research and development, 2004 to 2008 Archived
    Stats in brief: 88-001-X200800510678
    Description:

    This service bulletin contains historical and current data on research and development (R&D) expenditures and personnel in Canada, by industry. In Canada, the industrial or business enterprise sector is the largest R&D performer.

    Release date: 2008-09-05
  • 10. Estimates of research and development expenditures in the higher education, 2006/2007 Archived
    Stats in brief: 88-001-X200800410668
    Description:

    The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

    Release date: 2008-08-14
Articles and reports (178)

Articles and reports (178) (0 to 10 of 178 results)

  • 1. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, March 2024
    Articles and reports: 81-582-X2024001
    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: 2024-03-28
  • 2. A Model-based Disaggregation Method for Estimation of Adult Competency Archived
    Articles and reports: 11-522-X202200100003
    Description: Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels. The method is applied to adult literacy and numeracy estimation at the county-by-group-level, using data from the U.S. Program for the International Assessment of Adult Competencies. In this application the groups are defined in terms of age or education, but the method could be applied to estimation of other equity-deserving groups.
    Release date: 2024-03-25
  • 3. Model-based stratification of payment populations in Medicare integrity investigations
    Articles and reports: 12-001-X202300200001
    Description: When a Medicare healthcare provider is suspected of billing abuse, a population of payments X made to that provider over a fixed timeframe is isolated. A certified medical reviewer, in a time-consuming process, can determine the overpayment Y = X - (amount justified by the evidence) associated with each payment. Typically, there are too many payments in the population to examine each with care, so a probability sample is selected. The sample overpayments are then used to calculate a 90% lower confidence bound for the total population overpayment. This bound is the amount demanded for recovery from the provider. Unfortunately, classical methods for calculating this bound sometimes fail to provide the 90% confidence level, especially when using a stratified sample.

    In this paper, 166 redacted samples from Medicare integrity investigations are displayed and described, along with 156 associated payment populations. The 7,588 examined (Y, X) sample pairs show (1) Medicare audits have high error rates: more than 76% of these payments were considered to have been paid in error; and (2) the patterns in these samples support an “All-or-Nothing” mixture model for (Y, X) previously defined in the literature. Model-based Monte Carlo testing procedures for Medicare sampling plans are discussed, as well as stratification methods based on anticipated model moments. In terms of viability (achieving the 90% confidence level) a new stratification method defined here is competitive with the best of the many existing methods tested and seems less sensitive to choice of operating parameters. In terms of overpayment recovery (equivalent to precision) the new method is also comparable to the best of the many existing methods tested. Unfortunately, no stratification algorithm tested was ever viable for more than about half of the 104 test populations.
    Release date: 2024-01-03
  • 4. Bayesian small area models under inequality constraints with benchmarking and double shrinkage
    Articles and reports: 12-001-X202300200004
    Description: We present a novel methodology to benchmark county-level estimates of crop area totals to a preset state total subject to inequality constraints and random variances in the Fay-Herriot model. For planted area of the National Agricultural Statistics Service (NASS), an agency of the United States Department of Agriculture (USDA), it is necessary to incorporate the constraint that the estimated totals, derived from survey and other auxiliary data, are no smaller than administrative planted area totals prerecorded by other USDA agencies except NASS. These administrative totals are treated as fixed and known, and this additional coherence requirement adds to the complexity of benchmarking the county-level estimates. A fully Bayesian analysis of the Fay-Herriot model offers an appealing way to incorporate the inequality and benchmarking constraints, and to quantify the resulting uncertainties, but sampling from the posterior densities involves difficult integration, and reasonable approximations must be made. First, we describe a single-shrinkage model, shrinking the means while the variances are assumed known. Second, we extend this model to accommodate double shrinkage, borrowing strength across means and variances. This extended model has two sources of extra variation, but because we are shrinking both means and variances, it is expected that this second model should perform better in terms of goodness of fit (reliability) and possibly precision. The computations are challenging for both models, which are applied to simulated data sets with properties resembling the Illinois corn crop.
    Release date: 2024-01-03
  • 5. Are “immortals” an issue for survival estimates derived from Canadian Cancer Registry data?
    Articles and reports: 82-003-X202301200002
    Description: The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as “immortals”, and their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which “statistical” cure has been reported with that of similar people from the general population.
    Release date: 2023-12-20
  • 6. Experiences of Canadians with long-term symptoms following COVID-19
    Articles and reports: 75-006-X202300100015
    Description: This study uses data from the Canadian COVID-19 Antibody and Health Survey to describe the current COVID-19 landscape, including infection, reinfection, and acute and long-term symptoms. This study also examines how peoples’ experiences with the virus have evolved in the context of growing immunity, emerging variants, new treatments, and relaxation of public health measures.
    Release date: 2023-12-08
  • 7. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, October 2023 Archived
    Articles and reports: 81-582-X2023002
    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: 2023-10-13
  • 8. Strong revenue growth for service industries in 2022
    Articles and reports: 11-621-M2023012
    Description: Using administrative data, such as goods and services tax (GST) revenue, this study assesses how changing conditions in the economy, such as the end of pandemic-related restrictions, inflationary pressures, strong population growth, tight labour markets and rising interest rates-affected selected service industries in 2022.
    Release date: 2023-08-15
  • 9. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, March 2023 Archived
    Articles and reports: 81-582-X2023001
    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: 2023-03-27
  • 10. Five-year cancer survival by stage at diagnosis in Canada
    Articles and reports: 82-003-X202300100001
    Description: Cancer survival estimates provide insights into the effectiveness of early detection and treatment. The stage of cancer at diagnosis is an important determinant of survival, reflecting the extent and spread at the time of disease detection. The recent extension of the Canadian Cancer Registry death-linked analytic file from 2014 to 2017 now offers an opportunity to provide more up-to-date net survival (NS) figures and to profile, for the first time, five-year NS estimates for Canada (excluding Quebec). This study presents five-year stage-specific cancer and five-year NS estimates for the most commonly diagnosed cancers in Canada.
    Release date: 2023-01-18
Journals and periodicals (3)

Journals and periodicals (3) ((3 results))

  • 1. Cornerstones of Community: Highlights from the National Survey of Nonprofit and Voluntary Organizations Archived
    Journals and periodicals: 61-533-X
    Description:

    This publication provides the first national portrait of the many thousands of nonprofit and voluntary organizations found in every Canadian community. The data, from the National Survey of Nonprofit and Voluntary Organizations, reveal a set of organizations that are widely diverse in nature, touching virtually every aspect of Canadians' lives.

    Release date: 2005-06-30
  • 2. Summary of the Findings of the National Survey of Nonprofit and Voluntary Organizations Archived
    Journals and periodicals: 61-533-S
    Geography: Canada
    Description:

    This booklet summarizes the key results of the first National Survey of Nonprofit and Voluntary Organizations. These organizations have a significant economic presence and serve as vehicles for citizen engagement. However, many report significant challenges to their capacity to fulfill their missions.

    Release date: 2005-03-11
  • 3. Beyond the Information Highway Networked Canada (Information and Communications Technologies (ICT) Compendium) Archived
    Journals and periodicals: 56-504-X
    Geography: Canada
    Description:

    Networked Canada is the first comprehensive compendium to be published by Statistics Canada on the information and communications technologies (ICT) sector. The compendium has been designed as a profile of the information society, focusing on current trends, as well as an historical overview of the growth and development of the Canadian ICT sector industries. The publication contains two main parts. The first provides a statistical overview of the ICT sector on the basis of key economic variables, including production, employment, international trade, revenue and R&D expenditure. A summary of international ICT sector comparisons for selected variables, using recent data published by the Organization for Economic Cooperation and Development (OECD) is also included here. The ever widening use of, and access to ICTs in the home, at work, in schools and by governments is examined in the second part.

    Many different data sources have been used throughout the project, and while all efforts have been made to maximize the amount of data available, it has not been possible in all instances to consistently report for all ICT industries and all relevant variables. The conversion to the new North American Industrial Classification System (NAICS) has largely contributed to these difficulties, and it is expected that a greater range of data will be available once all of the survey programs begin reporting on the basis of this new industry classification.

    Release date: 2001-04-27
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