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Description:

The Market Basket Measure includes a dimension that defines a family's disposable income. This discussion paper describes considerations for updating the disposable income component and changes to the methodology used for its determination.

Description: The manner in which Canadians conduct their daily activities can have a profound impact on their surroundings thereby compelling them to adapt their practices to be less harmful to the environment. This is even more of a reality for Canadian businesses as their operations are significant contributors to the amount of pollution and environmental pressures generated each year in Canada. For this reason, it is important to monitor the amount and the type of environmental protection that Canadian industry has undertaken over the years. The article highlights expenditures made by Canadian industry to protect the environment from industrial activities between 2006 and 2016. The main data source for this paper is the Environmental Protection Expenditures Survey (EPES), which is conducted every two years. Several graphs and a summary of findings are included.

Description:

In Canada, estimating the life expectancy of Indigenous populations is methodologically challenging since death registrations do not usually collect information on whether the deceased was Indigenous. For the first time in Canada, a series of census-mortality linked datasets has been created that can be used to estimate trends in life expectancies among Indigenous household populations enumerated by a census. The objectives of this article are to 1) estimate life expectancy for First Nations people, Métis and Inuit at various ages and by sex for 2011, and compare it with that of the non-Indigenous population 2) examine trends in longevity since 1996 for First Nations people, Métis and Inuit and the non-Indigenous population, and estimate whether the disparity between Indigenous populations and the non-Indigenous population has changed over time. In doing so, this study aims to fill an important information gap by providing a national picture of the life expectancy of First Nations people, Métis and Inuit.

Description:

The routine measurement of population health status indicators like mortality is important to assess progress in the reduction of inequalities. Previous studies of mortality inequalities have relied on area-based measures of socioeconomic indicators. A new series of census-mortality linked datasets has been created in Canada to quantify mortality inequalities based on individual-level data and examine whether these inequalities have changed over time. This study used the 1991, 1996, 2001, 2006, and 2011 Canadian Census Health and Environment Cohorts (CanCHECs) with five years of mortality follow-up. It estimated age-standardized mortality rates by sex according to income quintile and highest level of educational attainment categories for the household population aged 25 or older.

Description:

This article provides a description of the Canadian Census Health and Environment Cohorts (CanCHECs), a population-based linked datasets of the household population at the time of census collection. The CanCHEC datasets are rich national data resources that can be used to measure and examine health inequalities across socioeconomic and ethnocultural dimensions for different periods and locations. These datasets can also be used to examine the effects of exposure to environmental factors on human health.

Description:

This video describes a new health surveillance program at Statistics Canada: The Canadian Census Health and Environment Cohorts (CanCHECs). The video describes the attributes of and the datasets included in the CanCHECs, how the CanCHECs can be used, and their strengths and limitations. Recent examples of research projects based on the CanCHECs are presented along with information about how to apply for access to these data.

Description:

Standard linearization estimators of the variance of the general regression estimator are often too small, leading to confidence intervals that do not cover at the desired rate. Hat matrix adjustments can be used in two-stage sampling that help remedy this problem. We present theory for several new variance estimators and compare them to standard estimators in a series of simulations. The proposed estimators correct negative biases and improve confidence interval coverage rates in a variety of situations that mirror ones that are met in practice.

Description:

Paradata is often collected during the survey process to monitor the quality of the survey response. One such paradata is a respondent behavior, which can be used to construct response models. The propensity score weight using the respondent behavior information can be applied to the final analysis to reduce the nonresponse bias. However, including the surrogate variable in the propensity score weighting does not always guarantee the efficiency gain. We show that the surrogate variable is useful only when it is correlated with the study variable. Results from a limited simulation study confirm the finding. A real data application using the Korean Workplace Panel Survey data is also presented.

Description:

The widely used formulas for the variance of the ratio estimator may lead to serious underestimates when the sample size is small; see Sukhatme (1954), Koop (1968), Rao (1969), and Cochran (1977, pages 163-164). In order to solve this classical problem, we propose in this paper new estimators for the variance and the mean square error of the ratio estimator that do not suffer from such a large negative bias. Similar estimation formulas can be derived for alternative ratio estimators as discussed in Tin (1965). We compare three mean square error estimators for the ratio estimator in a simulation study.

Description:

Social or economic studies often need to have a global view of society. For example, in agricultural studies, the characteristics of farms can be linked to the social activities of individuals. Hence, studies of a given phenomenon should be done by considering variables of interest referring to different target populations that are related to each other. In order to get an insight into an underlying phenomenon, the observations must be carried out in an integrated way, in which the units of a given population have to be observed jointly with related units of the other population. In the agricultural example, this means that a sample of rural households should be selected that have some relationship with the farm sample to be used for the study. There are several ways to select integrated samples. This paper studies the problem of defining an optimal sampling strategy for this situation: the solution proposed minimizes the sampling cost, ensuring a predefined estimation precision for the variables of interest (of either one or both populations) describing the phenomenon. Indirect sampling provides a natural framework for this setting since the units belonging to a population can become carriers of information on another population that is the object of a given survey. The problem is studied for different contexts which characterize the information concerning the links available in the sampling design phase, ranging from situations in which the links among the different units are known in the design phase to a situation in which the available information on links is very poor. An empirical study of agricultural data for a developing country is presented. It shows how controlling the inclusion probabilities at the design phase using the available information (namely the links) is effective, can significantly reduce the errors of the estimates for the indirectly observed population. The need for good models for predicting the unknown variables or the links is also demonstrated.

Description:

This data visualization tool highlights disability rates by age and sex for provinces and territories based on data from the 2017 Canadian Survey on Disability. The survey provides data on the demographic, employment, and income characteristics of Canadians with disabilities aged 15 years and over.

Description:

This interactive data visualization dashboard provides an overview of the courts program in Canada. The dashboard features statistics on charges and cases in youth courts and adult criminal courts, civil court cases, maintenance enforcement case enrollments, as well as compliance with support payments.

Description: The Housing Data Viewer is a visualization tool that allows users to explore Statistics Canada data on a map. Users can use the tool to navigate, compare and export data.

Description:

This web application provides access to data from the 2018 Canadian Internet Use Survey. This dynamic application allows users to obtain data on the use of Internet services and technologies by Canadians in 2018. The data is supplemented by household characteristics such as age, gender, household income quartile, highest level of education completed and some geographical detail (e.g. province). Among the indicators used in this interactive application to describe the use of Internet-related services and technologies are Internet use and intensity of use, percentage of online shoppers and their average expenditure by type of good and services purchased and percentage of Internet users who have taken measures to protect themselves from Internet security and privacy related incidents.

Description:

The Canadian Community Crime Tracker (CCCT) is a new advanced web-based data visualization tool that will make statistical information on crime and justice more interpretable by presenting key indicators in a statistical dashboard. The current version of the CCCT contains key indicators of crime based on police-reported data from the Uniform Crime Reporting (UCR) Survey, including the Crime Severity Index, rates of selected offences, rates of unfounded incidents and rates of firearm-related violent crime. Also included are data related to police-reported homicide, and hate crime. Data are for 2017 and 2018 and presented at the national, provincial, territorial levels, as well as for police service boundaries (meaning municipal police services as well as detachments of the Royal Canadian Mounted Police, the Ontario Provincial Police, the Sûreté du Québec and the Royal Newfoundland Constabulary).

Description:

This interactive tool allows for custom manipulation and visualization of data sourced from the Statistic Canada Survey of Uniform Financial Systems - School Boards (SUFSB). By clicking within the tool you will be able to filter, highlight and select various provincial/territorial aggregations of public elementary and secondary school board/district revenue and expenditure data. The revenues are categorized by source and geography; expenditures are categorized by function, economic classification and geography.

Description:

This web application provides access to transportation data for Canada, provinces and territories. The maps, charts and tables draw from a variety of data sources to provide information on Canada's transportation system. The interactive dashboard allow users to visualize statistics on a number of transportation-related topics covering road, rail and air transportation.

Description:

These are a series of approximately 65 tabulations of 1996 Census data, which features two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings. All variables covered by the 1996 Census are represented in the BST program. Forward Sortation Level geography is available for the first time.

Description:

Series Description - The Basic Summary Tabulations Series (1996 Census of Population) provides data based on approximately 75 cross-tabulations of three or four census variables at five very detailed levels of geography. This series shows specific characteristics of the Canadian population considered either as individuals or in terms of their family or household relations, or with a characteristic pertaining to Canadian dwellings. The BSTs provide data based on a 20% sample except for Age, Sex, Marital Status and Common-law Status which are collected from a 100% sample.

These tables are available on diskette and cover all census variable information such as Demographics; Families (Number, Type and Structure); Structural Type of Dwelling and Household Size; Immigration and Citizenship; Languages (e.g. Mother Tongue); Aboriginal Origins, Ethnic Origin and Visible Minorities (Population Groups); Labour Market Activities and Household Activities (unpaid work); Place of Work and Mode of Transportation; Education; Mobility and Migration; as well as Individual and Family Income.

For ease in understanding the five levels of geography, the OLC numbers have related the last 3 digits to reflect the different geographies. See the information below.

**Under Geographic Coverage, we have listed the five geographies with OLC numbers.

BSTs ending with the following OLC #s represent:

001 - Canada, Provinces, Territories, Census Divisions and Census Subdivisions002 - Census Metropolitan Areas, Tracted Census Agglomerations and Census Tracts003 - Canada, Provinces, Territories, Federal Electoral Districts (1987 Representation Order) and Enumeration Areas004 - Canada, Provinces, Territories and Federal Electoral Districts (1996 Representation Order)005 - Canada, Provinces, Territories and Forward Sortation Areas

Description: This product illustrates the nature and the extent of Canada's economic and financial relationship with the world using interactive graphs and tables. The statistical information is presented by theme such as trade, investment, employment and travel.

Description:

The Market Basket Measure includes a dimension that defines a family's disposable income. This discussion paper describes considerations for updating the disposable income component and changes to the methodology used for its determination.

Description: The manner in which Canadians conduct their daily activities can have a profound impact on their surroundings thereby compelling them to adapt their practices to be less harmful to the environment. This is even more of a reality for Canadian businesses as their operations are significant contributors to the amount of pollution and environmental pressures generated each year in Canada. For this reason, it is important to monitor the amount and the type of environmental protection that Canadian industry has undertaken over the years. The article highlights expenditures made by Canadian industry to protect the environment from industrial activities between 2006 and 2016. The main data source for this paper is the Environmental Protection Expenditures Survey (EPES), which is conducted every two years. Several graphs and a summary of findings are included.

Description:

In Canada, estimating the life expectancy of Indigenous populations is methodologically challenging since death registrations do not usually collect information on whether the deceased was Indigenous. For the first time in Canada, a series of census-mortality linked datasets has been created that can be used to estimate trends in life expectancies among Indigenous household populations enumerated by a census. The objectives of this article are to 1) estimate life expectancy for First Nations people, Métis and Inuit at various ages and by sex for 2011, and compare it with that of the non-Indigenous population 2) examine trends in longevity since 1996 for First Nations people, Métis and Inuit and the non-Indigenous population, and estimate whether the disparity between Indigenous populations and the non-Indigenous population has changed over time. In doing so, this study aims to fill an important information gap by providing a national picture of the life expectancy of First Nations people, Métis and Inuit.

Description:

The routine measurement of population health status indicators like mortality is important to assess progress in the reduction of inequalities. Previous studies of mortality inequalities have relied on area-based measures of socioeconomic indicators. A new series of census-mortality linked datasets has been created in Canada to quantify mortality inequalities based on individual-level data and examine whether these inequalities have changed over time. This study used the 1991, 1996, 2001, 2006, and 2011 Canadian Census Health and Environment Cohorts (CanCHECs) with five years of mortality follow-up. It estimated age-standardized mortality rates by sex according to income quintile and highest level of educational attainment categories for the household population aged 25 or older.

Description:

This article provides a description of the Canadian Census Health and Environment Cohorts (CanCHECs), a population-based linked datasets of the household population at the time of census collection. The CanCHEC datasets are rich national data resources that can be used to measure and examine health inequalities across socioeconomic and ethnocultural dimensions for different periods and locations. These datasets can also be used to examine the effects of exposure to environmental factors on human health.

Description:

This video describes a new health surveillance program at Statistics Canada: The Canadian Census Health and Environment Cohorts (CanCHECs). The video describes the attributes of and the datasets included in the CanCHECs, how the CanCHECs can be used, and their strengths and limitations. Recent examples of research projects based on the CanCHECs are presented along with information about how to apply for access to these data.

Description:

Standard linearization estimators of the variance of the general regression estimator are often too small, leading to confidence intervals that do not cover at the desired rate. Hat matrix adjustments can be used in two-stage sampling that help remedy this problem. We present theory for several new variance estimators and compare them to standard estimators in a series of simulations. The proposed estimators correct negative biases and improve confidence interval coverage rates in a variety of situations that mirror ones that are met in practice.

Description:

Paradata is often collected during the survey process to monitor the quality of the survey response. One such paradata is a respondent behavior, which can be used to construct response models. The propensity score weight using the respondent behavior information can be applied to the final analysis to reduce the nonresponse bias. However, including the surrogate variable in the propensity score weighting does not always guarantee the efficiency gain. We show that the surrogate variable is useful only when it is correlated with the study variable. Results from a limited simulation study confirm the finding. A real data application using the Korean Workplace Panel Survey data is also presented.

Description:

The widely used formulas for the variance of the ratio estimator may lead to serious underestimates when the sample size is small; see Sukhatme (1954), Koop (1968), Rao (1969), and Cochran (1977, pages 163-164). In order to solve this classical problem, we propose in this paper new estimators for the variance and the mean square error of the ratio estimator that do not suffer from such a large negative bias. Similar estimation formulas can be derived for alternative ratio estimators as discussed in Tin (1965). We compare three mean square error estimators for the ratio estimator in a simulation study.

Description:

Social or economic studies often need to have a global view of society. For example, in agricultural studies, the characteristics of farms can be linked to the social activities of individuals. Hence, studies of a given phenomenon should be done by considering variables of interest referring to different target populations that are related to each other. In order to get an insight into an underlying phenomenon, the observations must be carried out in an integrated way, in which the units of a given population have to be observed jointly with related units of the other population. In the agricultural example, this means that a sample of rural households should be selected that have some relationship with the farm sample to be used for the study. There are several ways to select integrated samples. This paper studies the problem of defining an optimal sampling strategy for this situation: the solution proposed minimizes the sampling cost, ensuring a predefined estimation precision for the variables of interest (of either one or both populations) describing the phenomenon. Indirect sampling provides a natural framework for this setting since the units belonging to a population can become carriers of information on another population that is the object of a given survey. The problem is studied for different contexts which characterize the information concerning the links available in the sampling design phase, ranging from situations in which the links among the different units are known in the design phase to a situation in which the available information on links is very poor. An empirical study of agricultural data for a developing country is presented. It shows how controlling the inclusion probabilities at the design phase using the available information (namely the links) is effective, can significantly reduce the errors of the estimates for the indirectly observed population. The need for good models for predicting the unknown variables or the links is also demonstrated.

Description:

The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.

Description:

The User Guide for the Canadian Index of Multiple Deprivation (CIMD) outlines uses for the index, as well as it provides a brief description of the methodology behind the development of the index. This User Guide also provides instructions on how to use the index, and lists considerations when using the CIMD data.

Description:

This article describes the upcoming revisions (November 2019) in the Canadian Macroeconomic Accounts resulting from the inclusion of illegal cannabis production, consumption and distribution as well as statistical revisions of the international travel services. The paper highlights the impact of these revisions on Gross Domestic Product (GDP) and the balance of international payments (BOP).

Description:

The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.

Description:

In 2018, Statistics Canada released two new data tables with estimates of effective tax and transfer rates for individual tax filers and census families. These estimates are derived from the Longitudinal Administrative Databank. This publication provides a detailed description of the methods used to derive the estimates of effective tax and transfer rates.

Description: From September 2017 to February 2018 Statistics Canada undertook a series of discussions across the country. The purpose of these discussions was to obtain feedback on the questions that are used on the census and on other Statistics Canada surveys to identify First Nations people, Métis and Inuit. This report will summarize the feedback received in during these discussions.

Description:

The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

The national IO model was not released in 2015 or 2016.

Description:

The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

The interprovincial IO model was not released in 2015 or 2016.

Description:

This document provides a comprehensive reference to the information available from the General Social Survey (GSS). It provides a description of the content of each of the 18 GSS cycles (e.g. time use, social support, education, the family), as well as background information, target population and collection methodology. A list of the products and services available from each cycle is also included.

Description:

The production of statistics from the Labour Force Survey (LFS) involves many activities, one of which is data processing. This step involves the verification and correction of survey data when required in order to produce microdata files. Beginning in January 2019, LFS processing will be transitioned to a new system, the Social Survey Processing Environment. This document describes the development and testing that preceded the implementation of the new system, and demonstrates that the transition is expected to have minimal impact on LFS estimates and be transparent to users of LFS data.