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    All (257)

    All (257) (220 to 230 of 257 results)

    • 221. Labour Market and Income Data Guide Archived
      Surveys and statistical programs – Documentation: 75F0010X
      Description:

      The publication guides the user through the vast array of labour market and income data sources. It offers detailed descriptions of the various surveys, including the data collected. A summary chart gives snapshot information for comparisons.

      Release date: 2000-09-13
    • 222. Useful Information for Manufacturers and Exporters Archived
      Surveys and statistical programs – Documentation: 31-532-G
      Description:

      This practical and informative guide for manufacturers and exporters will assist in navigating through numerous Statistics Canada products and services. In addition, some recent articles and research papers have been highlighted.

      Release date: 2000-07-26
    • 223. Statistical processing in the next millennium Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015640
      Description:

      This paper states how SN is preparing for a new era in the making of statistics, as it is triggered by technological and methodological developments. An essential feature of the turn to the new era is the farewell to the stovepipe way of data processing. The paper discusses how new technological and methodological tools will affect processes and their organization. Special emphasis is put on one of the major chances and challenges the new tools offer: establishing coherence in the content of statistics and in the presentation to users.

      Release date: 2000-03-02
    • 224. Combining administrative data with survey data: experience in the Australian survey of employment and unemployment patterns Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015644
      Description:

      One method of enriching survey data is to supplement information collected directly from the respondent with that obtained from administrative systems. The aims of such a practice include being able to collect data which might not otherwise be possible, provision of better quality information for data items which respondents may not be able to report accurately (or not at all) reduction of respondent load, and maximising the utility of information held in administrative systems. Given the direct link with administrative information, the data set resulting from such techniques is potentially a powerful basis for policy-relevant analysis and evaluation. However, the processes involved in effectively combining data from different sources raise a number of challenges which need to be addressed by the parties involved. These include issues associated with privacy, data linking, data quality, estimation, and dissemination.

      Release date: 2000-03-02
    • 225. The U.S. manufacturing plant ownership change database: Research possibilities Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015650
      Description:

      The U.S. Manufacturing Plant Ownership Change Database (OCD) was constructed using plant-level data taken from the Census Bureau's Longitudinal Research Database (LRD). It contains data on all manufacturing plants that have experienced ownership change at least once during the period 1963-92. This paper reports the status of the OCD and discuss its research possibilities. For an empirical demonstration, data taken from the database are used to study the effects of ownership changes on plant closure.

      Release date: 2000-03-02
    • 226. Creation of an occupational surveillance system in Canada: Combining data for a unique Canadian study Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015652
      Description:

      Objective: To create an occupational surveillance system by collecting, linking, evaluating and disseminating data relating to occupation and mortality with the ultimate aim of reducing or preventing excess risk among workers and the general population.

      Release date: 2000-03-02
    • 227. Meta analysis of bioassay data from the U.S. national toxicology program Archived
      Articles and reports: 11-522-X19990015654
      Description:

      A meta analysis was performed to estimate the proportion of liver carcinogens, the proportion of chemicals carcinogenic at any site, and the corresponding proportion of anticarcinogens among chemicals tested in 397 long-term cancer bioassays conducted by the U.S. National Toxicology Program. Although the estimator used was negatively biased, the study provided persuasive evidence for a larger proportion of liver carcinogens (0.43,90%CI: 0.35,0.51) than was identified by the NTP (0.28). A larger proportion of chemicals carcinogenic at any site was also estimated (0.59,90%CI: 0.49,0.69) than was identified by the NTP (0.51), although this excess was not statistically significant. A larger proportion of anticarcinogens (0.66) was estimated than carcinogens (0.59). Despite the negative bias, it was estimated that 85% of the chemicals were either carcinogenic or anticarcinogenic at some site in some sex-species group. This suggests that most chemicals tested at high enough doses will cause some sort of perturbation in tumor rates.

      Release date: 2000-03-02
    • 228. An evaluation of data fusion techniques Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015666
      Description:

      The fusion sample obtained by a statistical matching process can be considered a sample out of an artificial population. The distribution of this artificial population is derived. If the correlation between specific variables is the only focus the strong demand for conditional independence can be weakened. In a simulation study the effects of violations of some assumptions leading to the distribution of the artificial population are examined. Finally some ideas concerning the establishing of the claimed conditional independence by latent class analysis are presented.

      Release date: 2000-03-02
    • 229. Integrated media planning through statistical matching: Development and evaluation of the New Zealand panorama service Archived
      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
    • 230. Fusion of data and estimation by entropy maximization Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015672
      Description:

      Data fusion as discussed here means to create a set of data on not jointly observed variables from two different sources. Suppose for instance that observations are available for (X,Z) on a set of individuals and for (Y,Z) on a different set of individuals. Each of X, Y and Z may be a vector variable. The main purpose is to gain insight into the joint distribution of (X,Y) using Z as a so-called matching variable. At first however, it is attempted to recover as much information as possible on the joint distribution of (X,Y,Z) from the distinct sets of data. Such fusions can only be done at the cost of implementing some distributional properties for the fused data. These are conditional independencies given the matching variables. Fused data are typically discussed from the point of view of how appropriate this underlying assumption is. Here we give a different perspective. We formulate the problem as follows: how can distributions be estimated in situations when only observations from certain marginal distributions are available. It can be solved by applying the maximum entropy criterium. We show in particular that data created by fusing different sources can be interpreted as a special case of this situation. Thus, we derive the needed assumption of conditional independence as a consequence of the type of data available.

      Release date: 2000-03-02
    Data (7)

    Data (7) ((7 results))

    • 1. Canadian Statistical Geospatial Explorer Hub
      Data Visualization: 71-607-X2020010
      Description: 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
    • 2. Hierarchical File, 2006 Census (Public Use Microdata Files)
      Public use microdata: 95M0029X
      Description: 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
    • 3. Canadian Social Environment Typology: Data File and User Guide Archived
      Table: 17-20-00022022001
      Description: 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
    • 4. National Income and Expenditure Accounts: Data Tables Archived
      Table: 13-019-X
      Description: 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 Archived
      Table: 23-603-X
      Description:

      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
    • 6. Trade and Transportation: The Impact of the 1995 Transborder Air Services Accord Archived
      Table: 51F0007X
      Description:

      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
    • 7. Data Products: Dimensions Series: 1996 Census of Population Archived
      Table: 94F0005X
      Description:

      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) (0 to 10 of 189 results)

    • 1. The Business and Community Newsletter
      Journals and periodicals: 11-632-X
      Description: 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
    • 2. The Eh Sayers Podcast
      Journals and periodicals: 45-20-0003
      Description: 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
    • 3. The Importance of Disaggregated Data: An Introduction (part 1)
      Stats in brief: 89-20-00062024001
      Description: 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
    • 4. The Importance of Disaggregated Data: An Introduction (part 2)
      Stats in brief: 89-20-00062024002
      Description: 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
    • 5. Investigating the Use of Blockchain to Authenticate Data from the Statistics Canada Website
      Articles and reports: 11-633-X2022007
      Description:

      This paper investigates how Statistics Canada can increase trust by giving users the ability to authenticate data from its website through digital signatures and blockchain technology.

      Release date: 2022-09-19
    • 6. Confidentiality Vetting Support: Dominance and homogeneity using SAS Archived
      Stats in brief: 89-20-00082021001
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to perform the dominance and homogeneity test while using the Census.
      Release date: 2022-04-29
    • 7. Confidentiality Vetting Support: Proportion and round tool using SAS Archived
      Stats in brief: 89-20-00082021002
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to create proportion output for researchers working with confidential data.
      Release date: 2022-04-27
    • 8. Confidentiality Vetting Support: Rounding proportions using Stata Archived
      Stats in brief: 89-20-00082021003
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to create proportion output for researchers working with confidential data.
      Release date: 2022-04-27
    • 9. Confidentiality Vetting Support: Dominance and homogeneity using the tcensus function (Stata) Archived
      Stats in brief: 89-20-00082021004
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to perform the dominance and homogeneity test while using the Census.
      Release date: 2022-04-27
    • 10. Confidentiality Vetting Support: Rounding proportions using Rounder An R Shiny App Archived
      Stats in brief: 89-20-00082021005
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use R to create proportion output for researchers working with confidential data.
      Release date: 2022-04-27
    Reference (57)

    Reference (57) (0 to 10 of 57 results)

    • 1. Census of Population web pages: Profile Part 1, How to find and filter data
      Surveys and statistical programs – Documentation: 98-20-00032021032
      Description: 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
    • 2. Census of Population web pages: Profile Part 2, Adding geographies and downloading options
      Surveys and statistical programs – Documentation: 98-20-00032021033
      Description: 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
    • 3. 2026 Census of Population Content Consultation Results: What we heard from Canadians
      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
    • 4. Methods for Constructing Life Tables for Canada, Provinces and Territories
      Surveys and statistical programs – Documentation: 84-538-X
      Geography: Canada
      Description: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.
      Release date: 2023-08-28
    • 5. Statistics Canada's Data Access Training Series
      Surveys and statistical programs – Documentation: 89-20-0008
      Description:

      These videos are part of the confidentiality vetting support series and present examples of how to use different statistical software packages to perform the analyses required for researchers working with confidential data.

      Release date: 2022-04-29
    • 6. Statistics Canada Quality Guidelines
      Surveys and statistical programs – Documentation: 12-539-X
      Description:

      This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.

      Release date: 2019-12-04
    • 7. Transition of Labour Force Survey Data Processing to the Social Survey Processing Environment (SSPE) Archived
      Surveys and statistical programs – Documentation: 75-005-M2019001
      Description:

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

      Release date: 2019-02-08
    • 8. Methodology of the Canadian Labour Force Survey
      Surveys and statistical programs – Documentation: 71-526-X
      Description:

      The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.

      Release date: 2017-12-21
    • 9. Data Quality Toolkit
      Surveys and statistical programs – Documentation: 12-606-X
      Description:

      This is a toolkit intended to aid data producers and data users external to Statistics Canada.

      Release date: 2017-09-27
    • 10. User Guide for the Survey of Household Spending, 2014 Archived
      Surveys and statistical programs – Documentation: 62F0026M2016001
      Description:

      This report describes the quality indicators produced for the 2014 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

      Release date: 2016-02-12
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