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All (10,014)

All (10,014) (40 to 50 of 10,014 results)

  • 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

  • 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

  • Stats in brief: 11-001-X202419823263
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-16

  • Stats in brief: 11-001-X20241983665
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-16

  • Stats in brief: 11-001-X202419838484
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-16

  • Stats in brief: 45-28-0001
    Description: A series of articles on various subjects which explore the impact of COVID-19 on the socio-economic landscape. New articles will be released periodically.
    Release date: 2024-07-16

  • Journals and periodicals: 89-20-0006
    Description: Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills by developing a series of data literacy training resources. Data literacy is a key skill needed in the 21st century. It is generally described as the ability to derive meaning from data. Data literacy focuses on the competencies or skills involved in working with data, including the ability to read, analyze, interpret, visualize data, as well as to drive good decision-making.
    Release date: 2024-07-16

  • Stats in brief: 11-001-X20241973628
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-15

  • Stats in brief: 11-001-X20241973647
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-15

  • Stats in brief: 11-001-X202419423503
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-12
Stats in brief (2,676)

Stats in brief (2,676) (50 to 60 of 2,676 results)

  • Stats in brief: 11-001-X20241643339
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-12

  • Stats in brief: 11-001-X20241643631
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-12

  • Stats in brief: 11-001-X20241593309
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-07

  • Stats in brief: 45-20-00032024004
    Description: We can try our best, but its not always easy knowing what's best for the environment. The world is complicated, and it isn't as simple as reduce, reuse, recycle—though that's a great place to start! In the immortal words of Kermit the Frog, "It's not easy bein' green."

    We have two stories exploring that theme. The first is one we made in-house asking just how green our digital world really is, and the second comes from the Simply Science podcast exploring the world of urban forests.
    Release date: 2024-06-06

  • Stats in brief: 11-001-X20241573313
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-05

  • Stats in brief: 11-001-X202415737424
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-05

  • Stats in brief: 11-627-M2024024
    Description: Using data from the 2022 Time Use Survey, this infographic provides highlights from the study “Telework, time use, and well-being: Evidence from the 2022 Time Use Survey.” Data about the differences in time use between teleworkers and non-teleworkers are shown, particularly where time saved on the commute to and from work is reallocated to other activities such as time spent with children. The infographic also shows the differences in satisfaction with work-life balance when comparing the two groups.
    Release date: 2024-06-05

  • Stats in brief: 11-001-X202415513901
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-03

  • Stats in brief: 11-001-X202415538047
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-03

  • Stats in brief: 11-001-X20241523278
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-05-31
Articles and reports (7,016)

Articles and reports (7,016) (6,950 to 6,960 of 7,016 results)

  • Articles and reports: 12-001-X198300114336
    Description:

    The peach, sour cherry and the grape objective yield surveys have been carried out annually in the Niagara Peninsula since 1964 in order to forecast the magnitude of change in marketable fruit production from the previous year. Timeliness of the estimates is essential in order to enable the Ontario Tender Fruit Growers Marketing Board (OTFGMB) and the Ontario Grape Growers Marketing Board (OGGMB) to establish the marketing strategies well ahead of the harvest. This paper summarizes the major changes due to the second redesign initiated in 1982. In particular, the sample design, data collection operation and modifications of the estimation procedures are elaborated upon.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198300114337
    Description:

    This paper describes the procedures used and results of a joint Canada Centre for Remote Sensing (CCRS) and Statistics Canada project to provide a timely potato acreage estimate for New Brunswick, a major potato producing province in Canada. The project has demonstrated that satellite imagery combined with more traditional potato area estimation procedures can lower respondent burden, produce timely crop distribution maps and produce reliable estimates for subregions.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198300114340
    Description:

    A theory of sampling on two occasions with unequal probabilities and without replacement is presented. Fellegi’s (1963) method, which yields the same selection probabilities for a given unit on each occasion, is used to select the units for the rotation sample. The variances of composite estimators of the population total on the second occasion are developed. Numerical results are presented for small sample sizes and efficiency comparisons are made with a competing strategy.

    Release date: 1983-06-15

  • Articles and reports: 12-001-X198200114327
    Description:

    The modern statistical survey is an effective method of meeting the ever-increasing demand for timely and accurate data. One important component of the statistical survey is the questionnaire. This article discusses the role of the questionnaire in meeting the needs of users, the relationship of the questionnaire to the other components of survey design, and the effect of the questionnaire on the quality of survey data. The importance of viewing the questionnaire as an integral part of the total survey design is stressed.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198200114328
    Description:

    Estimates from sample surveys are sometimes required for domains whose boundaries do not coincide with those of design strata. Taking the Canadian Labour Force Survey as an example of a survey utilizing a clustered sample design, some alternative small area estimation techniques available in the literature are evaluated empirically including synthetic, domain (simple and post-stratified) and composite estimators which are linear combinations of synthetic and post-stratified domain estimators. A sample dependent estimator which attaches weight to the post-stratified domain estimate depending on the amount of sample in the domain is proposed and its performance is also evaluated.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198200114329
    Description:

    This article presents findings from a study to characterize responding and non-responding households in the Labour Force Survey (LFS). This study was motivated by two projects associated with the LFS Redesign, namely, the family estimation project and evaluation of non-response compensation procedures. However, the results of the study are of general interest in the assessment of the quality of data emanating from the LFS.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198200114330
    Description:

    The paper attempts to evaluate the impact of non-response adjustment by rotation groups on rotation group bias in the estimates from the Canadian Labour Force Survey. Results on bias and non-response characteristics are presented and discussed. An index used to measure rotation group bias is given and some empirical results are analyzed.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198200114331
    Description:

    Survey data collected by statistical agencies is most likely to be processed through to the tabulation stage by these agencies. The computer programs associated with this processing are also most likely tailored to the particular design and variables used. The statistics computed from such surveys typically range from simple descriptive totals and means to these required for analytic studies such as comparison of domains, regression analysis and contingency tables analysis. This paper describes a computer program which computes these statistics and their associated sampling errors for commonly used sampling designs.

    Release date: 1982-06-15

  • Articles and reports: 12-001-X198100214319
    Description:

    The problems associated with making analytical inferences from data based on complex sample designs are reviewed. A basic issue is the definition of the parameter of interest and whether it is a superpopulation model parameter or a finite population parameter. General methods based on a generalized Wald Statistics and its modification or on modifications of classical test statistics are discussed. More detail is given on specific methods-on linear models and regression and on categorical data analysis.

    Release date: 1981-12-15

  • 6,960. The nonresponse problem Archived
    Articles and reports: 12-001-X198100214320
    Description:

    This paper presents an outline of the nonresponse research which is carried out at the Netherlands Central Bureau of Statistics. The phenomenon of nonresponse is put into a general frame-work. The extent of nonresponse is indicated with figures from a number of CBS-surveys. The use of auxiliary variables is discussed as a means for obtaining information about nonrespondents. These variables can be used either to characterize nonrespondents or as stratification variables in adjustment procedures.

    Adjustment for nonresponse bias by means of subgroup weighting is considered in more detail. Finally, the last section lists a number of other methods which also aim at reduction of the bias.

    Release date: 1981-12-15
Journals and periodicals (322)

Journals and periodicals (322) (0 to 10 of 322 results)

  • Journals and periodicals: 11-621-M
    Geography: Canada
    Description: The papers published in the Analysis in Brief analytical series shed light on current economic issues. Aimed at a general audience, they cover a wide range of topics including National Accounts, business enterprises, trade, transportation, agriculture, the environment, manufacturing, science and technology, services, etc.
    Release date: 2024-07-30

  • Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-07-30

  • Journals and periodicals: 14-28-0001
    Description: Statistics Canada's Quality of Employment in Canada publication is intended to provide Canadians and Canadian organizations with a better understanding of quality of employment using an internationally-supported statistical framework. Quality of employment is approached as a multidimensional concept, characterized by different elements, which relate to human needs in various ways. To cover all relevant aspects, the framework identified seven dimensions and twelve sub-dimensions of quality of employment.
    Release date: 2024-07-25

  • Journals and periodicals: 11-631-X
    Description: Statistics Canada regularly prepares presentations with statistical findings about the country’s economy, society and environment. These presentations may be intended for conferences, meetings with stakeholders, or other events held throughout the year to provide Statistics Canada with an opportunity to promote the role of official statistics and to better understand data users’ needs. This series provides online access to these presentations as well as new presentations created to help communicate research findings on a wide range of subjects to a broad audience.
    Release date: 2024-07-24

  • Journals and periodicals: 36-28-0001
    Description: Economic and Social Reports includes in-depth research, brief analyses, and current economic updates on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. All the papers are institutionally reviewed and the research and analytical papers undergo peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.
    Release date: 2024-07-24

  • 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: 2024-07-22

  • Journals and periodicals: 82-003-X
    Geography: Canada
    Description:

    Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.

    Health Reports had an impact factor of 5.0 for 2022 and a five-year impact factor of 5.6. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.
    Release date: 2024-07-17

  • Journals and periodicals: 89-20-0006
    Description: Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills by developing a series of data literacy training resources. Data literacy is a key skill needed in the 21st century. It is generally described as the ability to derive meaning from data. Data literacy focuses on the competencies or skills involved in working with data, including the ability to read, analyze, interpret, visualize data, as well as to drive good decision-making.
    Release date: 2024-07-16

  • Journals and periodicals: 98-20-0003
    Description: Once every five years, the Census of Population provides a detailed and comprehensive statistical portrait of Canada that is vital to our country. It is the primary source of sociodemographic data for specific population groups such as lone-parent families, Indigenous peoples, immigrants, seniors and language groups.

    In order to help users of census products to better understand the various Census of Population concepts, Statistics Canada has developed, in the context of the activities of the 2021 Census and previous censuses, a collection of short videos. These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge.

    Release date: 2024-07-10

  • Journals and periodicals: 89-654-X
    Description: The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem.
    Release date: 2024-07-08
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