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Description:

One of the main characteristics of the 2001 Spanish Census of the Population was the use of an administrative Register of Population (El Padrón) for pre-printing the questionnaires and also the enumerator's record books of the census sections. In this paper we present the main characteristics of the relationship between the Population Register and Census of Population, and the main changes that are being foreseen for the next Census that will take place in 2011.

Description:

The growing difficulty of reaching respondents has a general impact on non-response in telephone surveys, especially those that use random digit dialling (RDD), such as the General Social Survey (GSS). The GSS is an annual multipurpose survey with 25,000 respondents. Its aim is to monitor the characteristics of and major changes in Canada's social structure. GSS Cycle 21 (2007) was about the family, social support and retirement. Its target population consisted of persons aged 45 and over living in the 10 Canadian provinces. For more effective coverage, part of the sample was taken from a follow-up with the respondents of GSS Cycle 20 (2006), which was on family transitions. The remainder was a new RDD sample. In this paper, we describe the survey's sampling plan and the random digit dialling method used. Then we discuss the challenges of calculating the non-response rate in an RDD survey that targets a subset of a population, for which the in-scope population must be estimated or modelled. This is done primarily through the use of paradata. The methodology used in GSS Cycle 21 is presented in detail.

Description:

Sample weights can be calibrated to reflect the known population totals of a set of auxiliary variables. Predictors of finite population totals calculated using these weights have low bias if these variables are related to the variable of interest, but can have high variance if too many auxiliary variables are used. This article develops an "adaptive calibration" approach, where the auxiliary variables to be used in weighting are selected using sample data. Adaptively calibrated estimators are shown to have lower mean squared error and better coverage properties than non-adaptive estimators in many cases.

Description:

A selective approach may be used in an ecological study where the aim is to choose a subset of units of analysis (UAs) and produce interpretations about a population of interest (PI) based solely on those UAs. The results for the PI will be reliable if that population is concentrated in the selected UAs and rare in other UAs. This article presents a graphical tool that helps determine whether these conditions are satisfied.

Description:

These tables provide population and dwelling counts established by the 2006 Census of Canada. The levels of geography covered are Canada, provinces and territories, and other geographic areas including census subdivisions (municipalities), census metropolitan areas and census agglomerations.

For selected geographies, the tables provide percentage change in the population counts between 2001 and 2006. Data are also provided for land area and population density. Various tables provide sort capabilities that allow the data in a column to be sorted in descending or ascending order. Geographic boundaries are those in effect on January 1, 2006.

An interactive reference mapping tool called GeoSearch2006 is available on the Statistics Canada website for identifying places and geographic units presented in these tables.

Description:

In sample surveys where units have unequal probabilities of inclusion in the sample, associations between the probability of inclusion and the statistic of interest can induce bias. Weights equal to the inverse of the probability of inclusion are often used to counteract this bias. Highly disproportional sample designs have large weights, which can introduce undesirable variability in statistics such as the population mean estimator or population regression estimator. Weight trimming reduces large weights to a fixed cutpoint value and adjusts weights below this value to maintain the untrimmed weight sum, reducing variability at the cost of introducing some bias. Most standard approaches are ad-hoc in that they do not use the data to optimize bias-variance tradeoffs. Approaches described in the literature that are data-driven are a little more efficient than fully-weighted estimators. This paper develops Bayesian methods for weight trimming of linear and generalized linear regression estimators in unequal probability-of-inclusion designs. An application to estimate injury risk of children rear-seated in compact extended-cab pickup trucks using the Partners for Child Passenger Safety surveillance survey is considered.

Description:

If low fertility, aging, demographic growth and ethnocultural diversity are phenomena that accurately describe Canada overall, the same patterns may not necessarily hold true for urban and rural areas. The rhythm and sources of demographic growth have often been significantly different from one area to the next, which would suggest that the situation across Canada stems from the aggregation of different demographies, which are variable between types of regions.

The objective of this study is to examine demographic differences between urban and rural areas in Canada by analyzing communities along a gradient ranging from the largest metropolitan regions to the most rural areas. Applying a geographic structure to Census data from 1971 to 2001 that maintains constant borders over time, the authors analyze population growth across eight types of urban and rural regions; as well as the contribution of immigration, fertility and internal migration to growth differentials; and the consequences of these observed demographic differences in terms of aging and ethnocultural diversity.

The study finds that growth is concentrated in the most metropolitan areas in the country and in the rural areas on which they have a strong influence, and diminished as the degree of rurality increases. Internal migration between the different types of areas has largely contributed to this differential growth: the most urbanized areas-with the exception of Montréal, Toronto and Vancouver-underwent significant migratory gains as well as strong growth. This was also the case with the rural regions that had a strong metropolitan influence. The most rural regions experienced a weak demographic growth, in some cases a decline, despite having higher fertility than other regions. The strong growth in the three largest urban areas in Canada-Montréal, Toronto and Vancouver-is largely attributed to the high numbers of international immigrants who decided to settle there. The concentration of newcomers in these regions helped increase the gap between these three areas and the rest of the country in terms of ethnocultural diversity.

Description:

We discuss methods for the analysis of case-control studies in which the controls are drawn using a complex sample survey. The most straightforward method is the standard survey approach based on weighted versions of population estimating equations. We also look at more efficient methods and compare their robustness to model mis-specification in simple cases. Case-control family studies, where the within-cluster structure is of interest in its own right, are also discussed briefly.

Description:

Félix-Medina and Thompson (2004) proposed a variant of Link-tracing sampling in which it is assumed that a portion of the population, not necessarily the major portion, is covered by a frame of disjoint sites where members of the population can be found with high probabilities. A sample of sites is selected and the people in each of the selected sites are asked to nominate other members of the population. They proposed maximum likelihood estimators of the population sizes which perform acceptably provided that for each site the probability that a member is nominated by that site, called the nomination probability, is not small. In this research we consider Félix-Medina and Thompson's variant and propose three sets of estimators of the population sizes derived under the Bayesian approach. Two of the sets of estimators were obtained using improper prior distributions of the population sizes, and the other using Poisson prior distributions. However, we use the Bayesian approach only to assist us in the construction of estimators, while inferences about the population sizes are made under the frequentist approach. We propose two types of partly design-based variance estimators and confidence intervals. One of them is obtained using a bootstrap and the other using the delta method along with the assumption of asymptotic normality. The results of a simulation study indicate that (i) when the nomination probabilities are not small each of the proposed sets of estimators performs well and very similarly to maximum likelihood estimators; (ii) when the nomination probabilities are small the set of estimators derived using Poisson prior distributions still performs acceptably and does not have the problems of bias that maximum likelihood estimators have, and (iii) the previous results do not depend on the size of the fraction of the population covered by the frame.

Description:

This publication provides statistical data and analysis from surveys through a combination of articles and summary statistics. Descriptions of data release and new survey developments are included, as are data and statistical analyses from elementary-secondary, post-secondary, and adult education and training levels. Characteristics examined include enrolment, staff and finance for schools, universities and colleges. Variables include age, gender, citizenship, degrees and diplomas, salary and source of education funding.

Description: This web application provides access to Statistics Canada’s Labour Market Indicators for Canada, by province and by census metropolitan area. This dynamic application allows users to view geographical rankings for each labour market indicator and to create quick and easy reports with interactive maps and charts that can be easily copied into other programs. All provincial and CMA estimates used in this application are seasonally adjusted, 3-month moving averages. Labour Force Survey data at the provincial level published each month in The Daily are seasonally adjusted monthly estimates.

Description: This web application provides access to Statistics Canada’s Labour Market Indicators for Canada, by province, territory and economic region (ER). This dynamic application allows users to view a snapshot of key labour market indicators, observe geographical rankings for each indicator using an interactive map and table, and easily copy data into other programs. The provincial and ER estimates used in this application from the Labour Force Survey (LFS) are three-month moving averages, unadjusted for seasonality. The provincial, territorial and ER estimates used in this application from the Job Vacancy and Wage Survey (JVWS) are quarterly data, unadjusted for seasonality. Historical estimates are available in this application, with data going back 10 years for the LFS and from the first quarter of 2016 for JVWS.

Description: This product presents information from the Census of Population for various levels of geography. Data include characteristics for: population, age, sex, dwellings, families, marital status, language, income, education and labour as examples.

Starting with the age and sex major day of release and on major days of release thereafter, profile component data are available at the Canada, province and territory, economic region, census division, census subdivision, census metropolitan area, census agglomeration, population centre, census tract, designated place, federal electoral district and dissemination area. This product may be downloaded in various formats, they include CSV, TAB, IVT or XML.

Description: The Individuals File, 2011 National Household Survey (Public Use Microdata Files) provides data on the characteristics of the Canadian population. The file contains a 2.7% sample of anonymous responses to the 2011 National Household Survey (NHS) questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses and geographic identifiers have been restricted to provinces/territories and metropolitan areas. With 133 variables, this comprehensive tool is excellent for policy analysts, pollsters, social researchers and anyone interested in modelling and performing statistical regression analysis using National Household Survey data.

Microdata files uniquely provide users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other NHS products can be created or relationships between variables can be analyzed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

This product, offered on DVD-ROM, contains the data file (in ASCII format); user documentation and supporting information; all licence agreements; and SAS, SPSS and Stata program source codes to enable users to read the set of records. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.

Description: This interactive dashboard allows the user to visualize the factors of population growth and how they have changed over time for census metropolitan areas and census agglomerations. The dashboard shows population, population growth, factors of population growth (natural increase, international migration, interprovincial migration, intraprovincial migration), and the proportion of the population by age group. The user can view the data by selecting a census metropolitan area or a census agglomeration of interest as well as a year of interest.

Description:

This product presents information from the Census of Population for various levels of geography. Data are from the 2021 Census of Population and are available according to the major releases of the 2021 Census release dates: February 9, 2022 – Population and dwelling counts; April 27, 2022 – Age, Sex at birth and gender, Type of dwelling; July 13, 2022 – Families, households and marital status, Canadian military experience, Income; August 17, 2022 – Language; September 21, 2022 – Indigenous peoples, Housing; October 26, 2022 – Immigration, place of birth, and citizenship, Ethnocultural and religious diversity, Mobility and migration; November 30, 2022 – Education, Labour, Language of work, Commuting, Instruction in the official minority language. Starting with the population and dwelling counts release and on major days of release thereafter, profile component data are available at the following geographic levels: Canada, province and territory, economic region, census division, census subdivision, census metropolitan area, census agglomeration, population centre, census tract, designated place, federal electoral district, aggregate dissemination area and dissemination area. This product may be downloaded in various formats, which include CSV, TAB or IVT.

Description: Canada at a Glance presents current statistics on Canadian society, including subjects such as the population, education, health, prices and the economy, among others. Updated yearly, this booklet is a very useful reference for those who want quick access to a current statistical portrait of Canada.

Description: This report presents the results of the population projections by age group and sex for Canada, the provinces and territories. These projections are based on assumptions that take into account the most recent trends relating to components of population growth, particularly fertility, mortality, immigration, emigration and interprovincial migration.

The detailed data tables are available in CODR: tables 1710005701 and 1710005801.

Description:

The interactive ribbon chart is a data visualization product that shows the evolution of most populated municipalities over time. It depicts the top 10 municipalities (also called census subdivisions, or CSDs) ranked by population for each census year.

Description:

This web application provides access to key housing market indicators for Canada, by province and by census metropolitan area. This dynamic application allows users to view geographical rankings for each housing market indicator and to create useful reports as well as interactive maps and charts for comparative analysis. All data in this application are updated with each monthly indicator release. Links to The Daily texts and data tables are also provided.

Description: Demographic documentsis a series of texts intended for scholars and researchers, published occasionally by the Demography Division of Statistics Canada for their methodological, analytical or descriptive interest in the population field.

Description: Demosim: Reports and Analytical Studies, published occasionally by the Centre for Demography of Statistics Canada, features analytical, technical and methodological documents related to Demosim, a microsimulation model designed to produce demographic projections for specific populations such as Indigenous peoples, immigrants and racialized groups. These documents are intended for a broad audience including demographers, researchers, policy makers as well as members of the general public interested in Canadian population trends.

Description: This report presents the results of the population projections by age group and sex for Canada, the provinces and territories. These projections are based on assumptions that take into account the most recent trends relating to components of population growth, particularly fertility, mortality, immigration, emigration and interprovincial migration.

The detailed data tables are available in CODR: tables 1710005701 and 1710005801.

Description:

This infographic briefly describes key results from the projections of the Indigenous populations in Canada for the period 2016 to 2041. Using different projection scenarios, it presents projection results through various demographic indicators. These projections are produced using the Demosim microsimulation projection model.

Description:

This infographic briefly describes key results from the demographic projections of the First Nations people in Canada for the period 2016 to 2041. Using different projection scenarios, it presents projection results through various demographic indicators. These projections are produced using the Demosim microsimulation projection model.

Description:

This infographic briefly describes key results from the demographic projections of the Métis in Canada for the period 2016 to 2041. Using different projection scenarios, it presents projection results through various demographic indicators. These projections are produced using the Demosim microsimulation projection model.

Description:

This infographic briefly describes key results from the demographic projections of the Inuit in Canada for the period 2016 to 2041. Using different projection scenarios, it presents projection results through various demographic indicators. These projections are produced using the Demosim microsimulation projection model.

Description:

The Report on the Demographic Situation in Canada analyses recent demographic patterns at the national, provincial and subprovincial levels. Trends in population growth and the evolution of the various components of Canada's population growth - fertility, mortality and migration (interprovincial and international) - as well as marital status, are examined. The Report on the Demographic Situation in Canada has been published annually or biennially since 1985. Beginning in 2011, the Report is available as a dynamic, internet-only publication in order to provide the most recent data and analyses on Canadian demographics as soon as they are available.

Description:

The infographic entitled Population of Canada's Metropolitan Areas and Municipalities, July 1, 2019 provides a summary of the most recent demographic trends in terms of population, growth and aging at the census metropolitan area (CMA) and the census subdivision (CSD) levels.

Description: In 2018, Statistics Canada will celebrate its 100th anniversary. As we count down to this important milestone, we would like to use our data to highlight some of the sweeping changes that have had a lasting impact on Canadian society and economy.

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.