Keyword search

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Survey or statistical program

40 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (140)

All (140) (40 to 50 of 140 results)

  • Table: 99-013-X2011027
    Geography: Province or territory
    Description:

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

    Release date: 2013-06-26

  • Surveys and statistical programs – Documentation: 99-010-X2011009
    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.

    Release date: 2013-05-08

  • Table: 99-010-X2011030
    Geography: Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration part
    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.

    Release date: 2013-05-08

  • Table: 99-010-X2011031
    Geography: Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration part
    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.

    Release date: 2013-05-08

  • Articles and reports: 12-001-X201200211758
    Description:

    This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey variable by fitting a number of probit penalized spline regression models on the inclusion probabilities. The finite population quantiles are then obtained by inverting the estimated distribution function. This method is quite computationally demanding. The second method predicts non-sampled values by assuming a smoothly-varying relationship between the continuous survey variable and the probability of inclusion, by modeling both the mean function and the variance function using splines. The two Bayesian spline-model-based estimators yield a desirable balance between robustness and efficiency. Simulation studies show that both methods yield smaller root mean squared errors than the sample-weighted estimator and the ratio and difference estimators described by Rao, Kovar, and Mantel (RKM 1990), and are more robust to model misspecification than the regression through the origin model-based estimator described in Chambers and Dunstan (1986). When the sample size is small, the 95% credible intervals of the two new methods have closer to nominal confidence coverage than the sample-weighted estimator.

    Release date: 2012-12-19

  • Articles and reports: 98-311-X2011001
    Geography: Province or territory, Census metropolitan area
    Description:

    This 2011 Census analytical document presents key trends emerging from the analysis of age and sex data in Canada, provinces and territories, census metropolitan areas (CMAs), census agglomerations (CAs), regions located outside CMAs and CAs as well as municipalities.

    Release date: 2012-05-29

  • Table: 98-311-X2011002
    Description:

    These data tables present 2011 Census highlights on age and sex. They display distribution by broad age groups.

    Available on the official day of release, they present information highlights via key indicators such as percentage change and percent distribution, for various levels of geography. The tables also allow users to perform simple rank and sort functions.

    Release date: 2012-05-29

  • Table: 16-201-S
    Description:

    Human Activity and the Environment: Detailed Statistics (16-201-S) is a collection of statistics focusing on human activities from an environmental perspective. Data are compiled from many sources including Statistics Canada, federal government departments, provincial governments and other sources. It is complimented by Human Activity and the Environment (16-201-X), which provides analysis on current environmental issues.

    Release date: 2011-06-28

  • Articles and reports: 75F0002M2010002
    Description:

    This report compares the aggregate income estimates as published by four different statistical programs. The System of National Accounts provides a portrait of economic activity at the macro economic level. The three other programs considered generate data from a micro-economic perspective: two are survey based (Census of Population and Survey of Labour and Income Dynamics) and the third derives all its results from administrative data (Annual Estimates for Census Families and Individuals). A review of the conceptual differences across the sources is followed by a discussion of coverage issues and processing discrepancies that might influence estimates. Aggregate income estimates with adjustments where possible to account for known conceptual differences are compared. Even allowing for statistical variability, some reconciliation issues remain. These are sometimes are explained by the use of different methodologies or data gathering instruments but they sometimes also remain unexplained.

    Release date: 2010-04-06

  • Articles and reports: 16-002-X201000111134
    Geography: Canada
    Description:

    Settlements are important hubs for residential, commercial and industrial activity, however, the size, structure and form of settlements over time can have a variety of social, economic and environmental implications. Statistics Canada has developed a new concept and dataset to delineate or map boundaries for Canada's settlements. This article presents some of the early geographic results of this project.

    Release date: 2010-03-24
Data (88)

Data (88) (10 to 20 of 88 results)

Analysis (42)

Analysis (42) (0 to 10 of 42 results)

  • Journals and periodicals: 91F0015M
    Geography: Canada
    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.
    Release date: 2024-02-02

  • Articles and reports: 17-20-0001
    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.
    Release date: 2022-09-08

  • Table: 91-520-X
    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.

    Release date: 2022-08-22

  • Stats in brief: 11-627-M2021066
    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.

    Release date: 2021-10-06

  • Stats in brief: 11-627-M2021067
    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.

    Release date: 2021-10-06

  • Stats in brief: 11-627-M2021068
    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.

    Release date: 2021-10-06

  • Stats in brief: 11-627-M2021069
    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.

    Release date: 2021-10-06

  • Journals and periodicals: 91-209-X
    Geography: Canada
    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.

    Release date: 2021-07-14

  • Stats in brief: 11-627-M2020011
    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.

    Release date: 2020-02-13

  • Journals and periodicals: 11-630-X
    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.
    Release date: 2018-02-21
Reference (11)

Reference (11) (0 to 10 of 11 results)

  • Notices and consultations: 92-137-X2024001
    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.
    Release date: 2024-04-17

  • Surveys and statistical programs – Documentation: 91-620-X
    Description: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.
    Release date: 2022-08-22

  • Geographic files and documentation: 16-510-X2017001
    Geography: Census metropolitan area
    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.

    Release date: 2017-05-24

  • Surveys and statistical programs – Documentation: 91-528-X
    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.

    Release date: 2015-11-17

  • Surveys and statistical programs – Documentation: 99-010-X2011009
    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.

    Release date: 2013-05-08

  • Surveys and statistical programs – Documentation: 62F0026M2001003
    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.

    Release date: 2001-10-15

  • Surveys and statistical programs – Documentation: 11-522-X19990015662
    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.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015670
    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.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 92-370-X
    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.

    Release date: 1999-12-14

  • Surveys and statistical programs – Documentation: 11-522-X19980015028
    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.

    Release date: 1999-10-22
Date modified: