Keyword search

Description:

The infographic in question, entitled Population Estimates, Canada, 2015, provides a concise accurate snapshot of the most recent demographic trends in Canada, related to demographic growth and aging, at the national, provincial and territorial levels.

Description:

This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.

Description:

These analytical products present projections of the Canadian population by Aboriginal identity, place of residence, and other variables of interest according to various scenarios.

Description:

Bayes linear estimator for finite population is obtained from a two-stage regression model, specified only by the means and variances of some model parameters associated with each stage of the hierarchy. Many common design-based estimators found in the literature can be obtained as particular cases. A new ratio estimator is also proposed for the practical situation in which auxiliary information is available. The same Bayes linear approach is proposed for obtaining estimation of proportions for multiple categorical data associated with finite population units, which is the main contribution of this work. A numerical example is provided to illustrate it.

Description:

Thompson and Sigman (2000) introduced an estimation procedure for estimating medians from highly positively skewed population data. Their procedure uses interpolation over data-dependent intervals (bins). The earlier paper demonstrated that this procedure has good statistical properties for medians computed from a highly skewed sample. This research extends the previous work to decile estimation methods for a positively skewed population using complex survey data. We present three different interpolation methods along with the traditional decile estimation method (no bins) and evaluate each method empirically, using residential housing data from the Survey of Construction and via a simulation study. We found that a variant of the current procedure using the 95th percentile as a scaling factor produces decile estimates with the best statistical properties.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

The data shown in this page correspond to the data described on the International Monetary Fund's Dissemination Standards Bulletin Board (DSBB).

Description:

These analytical products present projections of the Canadian population by Aboriginal identity, place of residence, and other variables of interest according to various scenarios.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

Using 2011 National Household Survey (NHS) data, this profile provides a statistical overview of variables describing immigration and ethnocultural diversity, Aboriginal peoples, education, labour, mobility and migration.

In the National Household Survey product line, groups of related variables are referred to as 'release components of profiles.' These are made available with the major releases of variables of the NHS cycle, starting with the Immigration and Ethnocultural Diversity, and Aboriginal Peoples releases. Together, they will form a complete NHS Profile of all the variables for each level of geography. Profile-component data are available at the Canada, province and territory, census division and census subdivision levels, at the census metropolitan area and census agglomeration levels, census tract level, and at the federal electoral district (based on the 2003 Representation Order) level.

Description:

This table presents a cross-tabulation of data using selected characteristics from the National Household Survey.

Description:

This table presents a cross-tabulation of data from the National Household Survey using selected characteristics of the following variables: Immigration, Citizenship, Place of birth, Ethnic origin, Visible minority, Religion and Language.

Description:

This table presents a cross-tabulation of data from the National Household Survey using selected characteristics of the following variables: Immigration, Citizenship, Place of birth, Ethnic origin, Visible minority, Religion and Language.

Description:

In this paper, we study a confidence interval estimation method for a finite population average when some auxiliairy information is available. As demonstrated by Royall and Cumberland in a series of empirical studies, naive use of existing methods to construct confidence intervals for population averages may result in very poor conditional coverage probabilities, conditional on the sample mean of the covariate. When this happens, we propose to transform the data to improve the precision of the normal approximation. The transformed data are then used to make inference on the original population average, and the auxiliary information is incorporated into the inference directly, or by calibration with empirical likelihood. Our approach is design-based. We apply our approach to six real populations and find that when transformation is needed, our approach performs well compared to the usual regression method.

Description:

Within a survey re-engineering context, the combined methodology developed in the paper addresses the problem of finding the minimal sample size for the generalized regression estimator in skewed survey populations (e.g., business, institutional, agriculture populations). Three components necessary in identifying an efficient sample redesign strategy involve i) constructing an efficient partitioning between the “take-all” and “sampled” groups, ii) identifying an efficient sample selection scheme, and iii) finding the minimal sample size required to meet the desired precision constraint(s). A scheme named the “Transfer Algorithm” is devised to address the first issue (Pandher 1995) and is integrated with the other two components to arrive at a combined iterative procedure that converges to a globally minimal sample size and population partitioning under the imposed precision constraint. An equivalence result is obtained allowing the solution to the proposed algorithm to be alternatively determined in terms of simple quantities computable directly from the population auxiliary data. Results from the application of the proposed sample redesign methodology to the Local Government Survey in Ontario are reported. A 52% reduction in the total sample size is achieved for the regression estimator of the total at a minimum coefficient of variation of 2%.

Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector.

This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.

Description: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.

Description:

This product contains restored 1971 census enumeration area boundaries for Canada's largest cities. It provides the public with a historical spatial data set to be used for reference, mapping, spatial and time series analysis. The restored boundaries include population and dwelling statistics.

Description:

This manual provides detailed descriptions of the data sources and methods used by Statistics Canada to estimate population. They comprise Postcensal and intercensal population estimates; base population; births and deaths; immigration; emigration; non-permanent residents; interprovincial migration; subprovincial estimates of population; population estimates by age, sex and marital status; and census family estimates. A glossary of principal terms is contained at the end of the manual, followed by the standard notation used.

Until now, literature on the methodological changes for estimates calculations has always been spread throughout various Statistics Canada publications and background papers. This manual provides users of demographic statistics with a comprehensive compilation of the current procedures used by Statistics Canada to prepare population and family estimates.

Description:

This reference guide provides information that enables users to effectively use, apply and interpret data from the 2011 National Household Survey (NHS). This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the NHS.

Description:

This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.

Description:

As the availability of both health utilization and outcome information becomes increasingly important to health care researchers and policy makers, the ability to link person-specific health data becomes a critical objective. This type of linkage of population-based administrative health databases has been realized in British Columbia. The database was created by constructing an historical file of all persons registered with the health care system, and then by probabilistically linking various program files to this 'coordinating' file. The first phase of development included the linkage of hospital discharge data, physician billing data, continuing care data, data about drug costs for the elderly, births data and deaths data. The second phase of development has seen the addition data sources external to the Ministry of Health including cancer incidence data, workers' compensation data, and income assistance data.

Description:

To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.

Description:

Series description

This series includes five general reference products - the Preview of Products and Services; the Catalogue; the Dictionary; the Handbook and the Technical Reports - as well as geography reference products - GeoSuite and Reference Maps.

Product description

Technical Reports examine the quality of data from the 1996 Census, a large and complex undertaking. While considerable effort was taken to ensure high quality standards throughout each step, the results are subject to a certain degree of error. Each report looks at the collection and processing operations and presents results from data evaluation, as well as notes on historical comparability.

Technical Reports are aimed at moderate and sophisticated users but are written in a manner which could make them useful to all census data users. Most of the technical reports have been cancelled, with the exception of Age, Sex, Marital Status and Common-law Status, Coverage and Sampling and Weighting. These reports will be available as bilingual publications as well as being available in both official languages on the Internet as free products.

This report deals with coverage errors, which occured when persons, households, dwellings or families were missed by the 1996 Census or enumerated in error. Coverage errors are one of the most important types of error since they affect not only the accuracy of the counts of the various census universes but also the accuracy of all of the census data describing the characteristics of these universes. With this information, users can determine the risks involved in basing conclusions or decisions on census data.

Description:

We address the problem of estimation for the income dynamics statistics calculated from complex longitudinal surveys. In addition, we compare two design-based estimators of longitudinal proportions and transition rates in terms of variability under large attrition rates. One estimator is based on the cross-sectional samples for the estimation of the income class boundaries at each time period and on the longitudinal sample for the estimation of the longitudinal counts; the other estimator is entirely based on the longitudinal sample, both for the estimation of the class boundaries and the longitudinal counts. We develop Taylor linearization-type variance estimators for both the longitudinal and the mixed estimator under the assumption of no change in the population, and for the mixed estimator when there is change.