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Survey or statistical program
- Census of Population (11)
- Survey of Labour and Income Dynamics (5)
- Canadian International Merchandise Trade (Balance of Payments Basis) (3)
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All (257)
All (257) (220 to 230 of 257 results)
- 221. Labour Market and Income Data Guide ArchivedSurveys and statistical programs – Documentation: 75F0010XDescription:
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 ArchivedSurveys and statistical programs – Documentation: 31-532-GDescription:
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 ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015640Description:
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 ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015644Description:
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 - Surveys and statistical programs – Documentation: 11-522-X19990015650Description:
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 ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015652Description:
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 - Articles and reports: 11-522-X19990015654Description:
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 ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015666Description:
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 ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015670Description:
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 ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015672Description:
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
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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) (10 to 20 of 189 results)
- Stats in brief: 89-20-00082021006Description: This video is part of the confidentiality vetting support series and presents examples of how to use R to perform the dominance and homogeneity test while using the Census.Release date: 2022-04-27
- Stats in brief: 11-627-M2022016Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.
Release date: 2022-02-28 - Stats in brief: 11-627-M2021092Description:
This infographic provides a high-level overview of Statistics Canada’s Disaggregated Data Action Plan, which will produce detailed statistical information on specific population groups. This plan is essential to highlight the lived experiences of diverse groups of people in Canada, such as women, Indigenous peoples, racialized populations and people living with disabilities.
Release date: 2021-12-08 - Articles and reports: 11-522-X202100100008Description:
Non-probability samples are being increasingly explored by National Statistical Offices as a complement to probability samples. We consider the scenario where the variable of interest and auxiliary variables are observed in both a probability and non-probability sample. Our objective is to use data from the non-probability sample to improve the efficiency of survey-weighted estimates obtained from the probability sample. Recently, Sakshaug, Wisniowski, Ruiz and Blom (2019) and Wisniowski, Sakshaug, Ruiz and Blom (2020) proposed a Bayesian approach to integrating data from both samples for the estimation of model parameters. In their approach, non-probability sample data are used to determine the prior distribution of model parameters, and the posterior distribution is obtained under the assumption that the probability sampling design is ignorable (or not informative). We extend this Bayesian approach to the prediction of finite population parameters under non-ignorable (or informative) sampling by conditioning on appropriate survey-weighted statistics. We illustrate the properties of our predictor through a simulation study.
Key Words: Bayesian prediction; Gibbs sampling; Non-ignorable sampling; Statistical data integration.
Release date: 2021-10-29 - Articles and reports: 11-522-X202100100005Description: The Permanent Census of Population and Housing is the new census strategy adopted in Italy in 2018: it is based on statistical registers combined with data collected through surveys specifically designed to improve registers quality and assure Census outputs. The register at the core of the Permanent Census is the Population Base Register (PBR), whose main administrative sources are the Local Population Registers. The population counts are determined correcting the PBR data with coefficients based on the coverage errors estimated with surveys data, but the need for additional administrative sources clearly emerged while processing the data collected with the first round of Permanent Census. The suspension of surveys due to global-pandemic emergency, together with a serious reduction in census budget for next years, makes more urgent a change in estimation process so to use administrative data as the main source. A thematic register has been set up to exploit all the additional administrative sources: knowledge discovery from this database is essential to extract relevant patterns and to build new dimensions called signs of life, useful for population estimation. The availability of the collected data of the two first waves of Census offers a unique and valuable set for statistical learning: association between surveys results and ‘signs of life’ could be used to build classification model to predict coverage errors in PBR. This paper present the results of the process to produce ‘signs of life’ that proved to be significant in population estimation.
Key Words: Administrative data; Population Census; Statistical Registers; Knowledge discovery from databases.
Release date: 2021-10-22 - Stats in brief: 89-20-00062020006Description:
The data terminology and concepts covered in this video are datasets, databases, data protection, data variables, micro and macro data, and statistical information.
Release date: 2020-09-23 - Stats in brief: 89-20-00062020007Description:
In this video you will learn about the steps and activities in the data journey, as well as the foundation supporting it.
Release date: 2020-09-23 - 18. Data stewardship: An introduction ArchivedStats in brief: 89-20-00062020013Description:
This video is intended for learners who wish to get a basic understanding of data stewardship. No previous knowledge is required.
By the end of this video, you will be able to answer the following questions: What is data stewardship? What is the difference between data governance and data stewardship? Why is data stewardship important? What are the main roles of data stewards? What are the expected outcomes of a data stewardship program?
Release date: 2020-09-23 - Stats in brief: 11-629-X2019003Description:
Digitalization knows no boundaries. Canada's digital economy, or the economic activities related to the billions of online transactions that occur every day, is growing faster than the rest of the economy and is bigger than some of this country's largest industries. While data continues to drive our world, there is still much more to learn about Canada's digital transformation and its impact on our society and economy. As a result, Statistics Canada is going beyond traditional social and economic measures to capture Canada's full economic portrait.
Release date: 2020-02-10 - 20. Big data, deeper insights: Why Statistics Canada’s drive to lead the knowledge revolution will matter to you ArchivedStats in brief: 11-631-X2020001Description:
This booklet provides a snapshot of data offered by Statistics Canada.
Release date: 2020-01-16
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Reference (57)
Reference (57) (30 to 40 of 57 results)
- 31. The Micro-Economic Analysis Division: The Role of Analysis in Delivering Information Products ArchivedSurveys and statistical programs – Documentation: 11F0026M2004001Description:
This paper describes how the analytical program of Statistics Canada's productivity group is used to enhance the quality (relevance, coherence, interpretability) of its products.
Release date: 2004-07-08 - Surveys and statistical programs – Documentation: 13-009-X20030046842Description:
How good are the National Tourism Indicators (NTI)? How can their quality be measured? This study looks to answer these questions through analysis of the revisions to the NTI estimates for the period 1997 through 2001.
Release date: 2004-03-30 - 33. Measurement of Output, Value Added, GDP in Canada and the United States: Similarities and Differences ArchivedSurveys and statistical programs – Documentation: 13F0031M2003010Description:
This document provides compilers and users in Canada and the United States with a fuller understanding of the present practices, similarities and differences between the two national accounts systems. This will enable users to make meaningful comparisons of the published national accounts data. This report is the result of the co-operation between professionals of the two countries in trying to harmonize and improve the respective national accounts, and hopefully, in due course, international standards.
Release date: 2003-06-20 - Surveys and statistical programs – Documentation: 92-379-XDescription:
The 2001 Census Handbook is a reference tool covering every aspect of the 2001 Census of Population and Census of Agriculture. It provides an overview of every phase of the census, from content determination to data dissemination. It traces the history of the census from the early days of New France to the present. It also contains information about the protection of confidential information in census questions and variables, along with information about data quality and the possible uses of census data. Also covered are census geography and the range of products and services available from the 2001 Census database.
This series includes six general reference products: Preview of Products and Services, Census Dictionary, Catalogue, Standard Products Stubsets, Census Handbook and Technical Reports.
Release date: 2002-08-06 - Notices and consultations: 88-003-X20010015591Geography: CanadaDescription:
The Quebec Institute of Statistics hosted a forum for Statistics Canada and provincial government experts dealing with the subject of science and technology statistics.
Release date: 2001-03-13 - Notices and consultations: 63F0022XDescription:
Statistics Canada's annual retail trade surveys are undergoing changes. Two activities underlie these changes. The re-design of our annual retail trade questionnaires is one. The other is the conversion from the 1980 Standard Industrial Classification (1980 SIC) to the North American Industrial Classification System (NAICS). These activities will have significant impacts on the output of the annual surveys.
This paper has two goals. The first is to inform retail store data users, industry analysts, trade associations and other stakeholders about these changes. The second is to consult with stakeholders on possible data outputs resulting from the changes.
The paper is organized into five parts. Following the introduction, Part II describes the outputs from the current surveys and compares and contrasts the current outputs with the new. Part III focuses on the introduction of NAICS codes and the changes in coverage for retail trade. In Part IV, the benefits resulting from the above changes are outlined. The final part (Part V) seeks comments or suggestions from data users, retail trade associations and industry specialists on the release of data products as a result of the changes to the surveys.
Release date: 2001-02-01 - 37. Labour Market and Income Data Guide ArchivedSurveys and statistical programs – Documentation: 75F0010XDescription:
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 - 38. Useful Information for Manufacturers and Exporters ArchivedSurveys and statistical programs – Documentation: 31-532-GDescription:
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 - 39. Statistical processing in the next millennium ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015640Description:
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 - Surveys and statistical programs – Documentation: 11-522-X19990015644Description:
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
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