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- Census of Population (11)
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All (257) (0 to 10 of 257 results)
- Journals and periodicals: 11-632-XDescription: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.Release date: 2024-09-19
- Data Visualization: 71-607-X2020010Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.Release date: 2024-08-21
- Journals and periodicals: 45-20-0003Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.Release date: 2024-08-14
- Stats in brief: 89-20-00062024001Description: This short video explains how it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian.Release date: 2024-07-16
- Stats in brief: 89-20-00062024002Description: This short video explains how the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups.Release date: 2024-07-16
- Surveys and statistical programs – Documentation: 98-20-00032021032Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain where to find the most popular standard data product of the Census of Population, the 2021 Census Profile, and how to filter the data.Release date: 2024-07-10
- Surveys and statistical programs – Documentation: 98-20-00032021033Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain how to add geographies in the 2021 Census Profile and to present the various downloading options to see the data.Release date: 2024-07-10
- Notices and consultations: 92-137-X2024001Description: 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
- Public use microdata: 95M0029XDescription: This hierarchical file provides data on the characteristics of the population. The 2006 Census Public Use Microdata Files (PUMFs) contain samples of anonymous responses to the 2006 Census questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses. The individual file was released on March 4, 2010 and the hierarchical file is available as of today, May 2, 2011.
Microdata files are unique among census products in that they give 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 census products can be created or relationships between variables can be analysed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.
Most of the subject matter covered by the census is included in the microdata files. To ensure the respondents' anonymity, geographic identifiers have been restricted to provinces/territories and large metropolitan areas.
This product, offered on CD-ROM, contains the data file (in ASCII format), user documentation and SAS and SPSS program source codes to enable you to read the set of records. Note: users will require knowledge of data manipulation and retrieval software such as SAS or SPSS to be able to use this product.
Release date: 2023-09-12 - Surveys and statistical programs – Documentation: 84-538-XGeography: CanadaDescription: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.Release date: 2023-08-28
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Data (7)
Data (7) ((7 results))
- Data Visualization: 71-607-X2020010Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.Release date: 2024-08-21
- Public use microdata: 95M0029XDescription: This hierarchical file provides data on the characteristics of the population. The 2006 Census Public Use Microdata Files (PUMFs) contain samples of anonymous responses to the 2006 Census questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses. The individual file was released on March 4, 2010 and the hierarchical file is available as of today, May 2, 2011.
Microdata files are unique among census products in that they give 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 census products can be created or relationships between variables can be analysed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.
Most of the subject matter covered by the census is included in the microdata files. To ensure the respondents' anonymity, geographic identifiers have been restricted to provinces/territories and large metropolitan areas.
This product, offered on CD-ROM, contains the data file (in ASCII format), user documentation and SAS and SPSS program source codes to enable you to read the set of records. Note: users will require knowledge of data manipulation and retrieval software such as SAS or SPSS to be able to use this product.
Release date: 2023-09-12 - Table: 17-20-00022022001Description: The Canadian Social Environment Typology (CanSET) data file on cluster membership by dissemination area is a downloadable data file. The file includes information on the variables that were used to create the clusters and a data table with cluster options on membership by dissemination area.Release date: 2022-05-09
- Table: 13-019-XDescription: These data tables provide quarterly information on Canada's National Income and Expenditure Accounts (NIEA), 1961-2012. It contains seasonally adjusted data on gross domestic product (GDP) by income and by expenditure, saving and investment, borrowing and lending of each of four broad sectors of the economy: (i) persons and unincorporated businesses, (ii) corporate and government business enterprises, (iii) governments and (iv) non-residents. Information is also provided for selected subsectors. The tables include data beginning in 1961, and is no longer being released.Release date: 2012-08-31
- 5. Livestock Statistics ArchivedTable: 23-603-XDescription:
This publication contains data from 1976 to date for major livestock series: cattle and calves, hogs, sheep and lambs, wool, furs, trade and prices, stocks of frozen meats, and apparent per capita meat consumption. Data highlights are also included. New and revised estimates for these data are released four times a year.
Release date: 2003-03-05 - Table: 51F0007XDescription:
For most of the post-war period, Canada and the United States have utilized an open regime to govern trade relations between the two countries. Such has not always been the case for transborder air services, however. In 1966, the two countries signed an air services accord (ASA) that governed commercial air services between the two. The 1966 accord was quite restrictive, limiting entry and price competition in transborder markets. This restrictive agreement governed Canada-U.S. air service for almost 30 years, finally being replaced in 1995 with a new ASA that has granted entry and pricing freedom in transborder markets.
Release date: 2001-06-05 - Table: 94F0005XDescription:
This CD-ROM is part of the Dimensions Series which provides an in-depth analysis of census data. More than 150 tables represent a variety of special interest subjects linking a number of Census variables. Statistical information is presented on themes of considerable public interest with some tables examining historical trends and other tables detailing significant sub-populations. Data for geographical levels of Canada, Provinces and Territories are most widely represented with some data tables produced at the Census Metropolitan Area level. The Portrait of Official Language Communities in Canada and the Portrait of Aboriginal Population of Canada contain some information at the community level.Some tables show comparisons with data from earlier censuses to provide an historical perspective.
Release date: 1999-04-06
Analysis (189)
Analysis (189) (80 to 90 of 189 results)
- 81. Mean - Adjusted bootstrap for two - Phase sampling ArchivedArticles and reports: 12-001-X20070019853Description:
Two-phase sampling is a useful design when the auxiliary variables are unavailable in advance. Variance estimation under this design, however, is complicated particularly when sampling fractions are high. This article addresses a simple bootstrap method for two-phase simple random sampling without replacement at each phase with high sampling fractions. It works for the estimation of distribution functions and quantiles since no rescaling is performed. The method can be extended to stratified two-phase sampling by independently repeating the proposed procedure in different strata. Variance estimation of some conventional estimators, such as the ratio and regression estimators, is studied for illustration. A simulation study is conducted to compare the proposed method with existing variance estimators for estimating distribution functions and quantiles.
Release date: 2007-06-28 - Articles and reports: 12-001-X20070019854Description:
We derive an estimator of the mean squared error (MSE) of the empirical Bayes and composite estimator of the local-area mean in the standard small-area setting. The MSE estimator is a composition of the established estimator based on the conditional expectation of the random deviation associated with the area and a naïve estimator of the design-based MSE. Its performance is assessed by simulations. Variants of this MSE estimator are explored and some extensions outlined.
Release date: 2007-06-28 - 83. Handling survey nonresponse in cluster sampling ArchivedArticles and reports: 12-001-X20070019855Description:
In surveys under cluster sampling, nonresponse on a variable is often dependent on a cluster level random effect and, hence, is nonignorable. Estimators of the population mean obtained by mean imputation or reweighting under the ignorable nonresponse assumption are then biased. We propose an unbiased estimator of the population mean by imputing or reweighting within each sampled cluster or a group of sampled clusters sharing some common feature. Some simulation results are presented to study the performance of the proposed estimator.
Release date: 2007-06-28 - Articles and reports: 12-001-X20070019856Description:
The concept of 'nearest proportional to size sampling designs' originated by Gabler (1987) is used to obtain an optimal controlled sampling design, ensuring zero selection probabilities to non-preferred samples. Variance estimation for the proposed optimal controlled sampling design using the Yates-Grundy form of the Horvitz-Thompson estimator is discussed. The true sampling variance of the proposed procedure is compared with that of the existing optimal controlled and uncontrolled high entropy selection procedures. The utility of the proposed procedure is demonstrated with the help of examples.
Release date: 2007-06-28 - 85. Defining retirement ArchivedArticles and reports: 75-001-X200710213182Geography: CanadaDescription:
Even though the retirement wave will have significant labour market consequences over the next 20 years, no regular statistics are produced on retirement or the retired. Part of the problem stems from lack of clear definitions. For some, retirement means complete withdrawal from the labour force while for others it entails part- or even full-time work. The article examines the challenges faced by statistical organizations in measuring retirement and offers several recommendations to inform a discussion for arriving at international standards.
Release date: 2007-03-20 - 86. Paradata from Concept to Completion ArchivedArticles and reports: 11-522-X20050019432Description:
Why talk about paradata now, especially when it is already so ubiquitous? Well, perhaps, for that very reason. Certainly, while widely available and extensive, paradata are seldom being used at their full power, either during survey operations or, more commonly, at the survey inference stage.
Release date: 2007-03-02 - 87. Providing spatial data for secondary analysis: issues and current practices relating to confidentiality ArchivedArticles and reports: 11-522-X20050019433Description:
Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis - the data producer, the data archive, and the data user.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019434Description:
Traditional methods for statistical disclosure limitation in tabular data are cell suppression, data rounding and data perturbation. Because the suppression mechanism is not describable in probabilistic terms, suppressed tables are not amenable to statistical methods such as imputation. Data quality characteristics of suppressed tables are consequently poor.
Release date: 2007-03-02 - 89. Data swapping is not the panacea ArchivedArticles and reports: 11-522-X20050019435Description:
Data swapping introduces noise in a dataset to improve the protection of statistical confidentiality. We demonstrate in this article that this technique introduces a bias in the estimates.
Release date: 2007-03-02 - 90. Common metadata constructs for statistical data ArchivedArticles and reports: 11-522-X20050019436Description:
Regardless of the specifics of any given metadata scheme, there are common metadata constructs used to describe statistical data. This paper will give an overview of the different approaches taken to achieve the common goal of providing consistent information.
Release date: 2007-03-02
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Reference (57)
Reference (57) (50 to 60 of 57 results)
- Surveys and statistical programs – Documentation: 11-522-X19980015022Description:
This article extends and further develops the method proposed by Pfeffermann, Skinner and Humphreys (1998) for the estimation of gross flows in the presence of classification errors. The main feature of that method is the use of auxiliary information at the individual level which circumvents the need for validation data for estimating the misclassification rates. The new developments in this article are the establishment of conditions for model identification, a study of the properties of a model goodness of fit statistic and modifications to the sample likelihood to account for missing data and informative sampling. The new developments are illustrated by a small Monte-Carlo simulation study.
Release date: 1999-10-22 - Surveys and statistical programs – Documentation: 11-522-X19980015029Description:
In longitudinal surveys, sample subjects are observed over several time points. This feature typically leads to dependent observations on the same subject, in addition to the customary correlations across subjects induced by the sample design. Much research in the literature has focussed on modeling the marginal mean of a response as a function of covariates. Liang and Zeger (1986) used generalized estimating equations (GEE), requiring only correct specification of the marginal mean, and obtained standard errors of regression parameter estimates and associated Wald tests, assuming a "working" correlation structure for the repeated measurements on a sample subject. Rotnitzky and Jewell (1990) developed quasi-score tests and Rao-Scott adjustments to "working" quasi-score tests under marginal models. These methods are asymptotically robust to misspecification of the within-subject correlation structure, but assume independence of sample subjects which is not satisfied for complex longitudinal survey data based on stratified multi-stage sampling. We proposed asymptotically valid Wald and quasi-score tests for longitudinal survey data, using the Taylor Linearization and jackknife methods. Alternative tests, based on Rao-Scott adjustments to naive tests that ignore survey design features and on Bonferroni-t, are also developed. These tests are particularly useful when the effective degrees of freedom, usually taken as the total number of sample primary units (clusters) minus the number of strata, is small.
Release date: 1999-10-22 - 53. Estimating the incidence of dementia from longitudinal two-phase sampling with nonignorable missing data ArchivedSurveys and statistical programs – Documentation: 11-522-X19980015030Description:
Two-phase sampling designs have been conducted in waves to estimate the incidence of a rare disease such as dementia. Estimation of disease incidence from longitudinal dementia study has to appropriately adjust for data missing by death as well as the sampling design used at each study wave. In this paper we adopt a selection model approach to model the missing data by death and use a likelihood approach to derive incidence estimates. A modified EM algorithm is used to deal with data missing by sampling selection. The non-paramedic jackknife variance estimator is used to derive variance estimates for the model parameters and the incidence estimates. The proposed approaches are applied to data from the Indianapolis-Ibadan Dementia Study.
Release date: 1999-10-22 - Surveys and statistical programs – Documentation: 11-522-X19980015031Description:
The U.S. Third National Health and Nutrition Examination Survey (NHANES III) was carried out from 1988 to 1994. This survey was intended primarily to provide estimates of cross-sectional parameters believed to be approximately constant over the six-year data collection period. However, for some variable (e.g., serum lead, body mass index and smoking behavior), substantive considerations suggest the possible presence of nontrivial changes in level between 1988 and 1994. For these variables, NHANES III is potentially a valuable source of time-change information, compared to other studies involving more restricted populations and samples. Exploration of possible change over time is complicated by two issues. First, there was of practical concern because some variables displayed substantial regional differences in level. This was of practical concern because some variables displayed substantial regional differences in level. Second, nontrivial changes in level over time can lead to nontrivial biases in some customary NHANES III variance estimators. This paper considers these two problems and discusses some related implications for statistical policy.
Release date: 1999-10-22 - Surveys and statistical programs – Documentation: 11-522-X19980015036Description:
Multivariate logistic regression, introduced by Glonek and McCullagh (1995) as a generalisation of logistic regression, is useful in the analysis of longitudinal data as it allows for dependent repeated observations of a categorical variable and for incomplete response profiles. We show how the method can be extended to deal with data from complex surveys and we illustrate it on data from the Swiss Labour Force Survey. The effect of the sampling weights on the parameter estimates and their standard errors is considered.
Release date: 1999-10-22 - 56. Statistics Canada's Business Surveys ArchivedSurveys and statistical programs – Documentation: 61F0019X19990025579Geography: CanadaDescription:
The Unified Enterprise Survey (UES) incorporates several annual business surveys into an integrated survey framework. It aims to ensure Statistics Canada receives consistent and integrated data from many types and sizes of businesses, with enough detail to produce accurate provincial statistics. This year, 17 industry surveys are included in the UES, as well as two cross-industry surveys of large enterprises.
Release date: 1999-06-25 - Surveys and statistical programs – Documentation: 81F0004GDescription:
The guide lists and briefly describes the main sources of data, and for each source gives: data coverage, main variables available, strengths and limitation of the data, historical continuity, frequency and means of dissemination, indication of the type of analysis that can be performed.
Release date: 1998-03-30
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