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All (26,565)

All (26,565) (20 to 30 of 26,565 results)

Data (13,287)

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Analysis (10,777)

Analysis (10,777) (10,770 to 10,780 of 10,777 results)

  • 10,771. Sample design of the Family Expenditure Survey (1974) Archived
    Articles and reports: 12-001-X197500100003
    Description: In order to monitor changes in expenditure patterns and, if necessary, provide information for a reweighting of the Consumer Price Index, family expenditure surveys have been carried out at approximately two year intervals since 1953.

    While all of the Family Expenditure Surveys have utilized the Canadian Labour Force Survey [1] frame, the particular survey in 1974 was designed somewhat differently from earlier surveys in that segments or city blocks were specially selected for the survey and there was strict control on the sample size not adhered to in earlier surveys.

    The sample design, from the considerations based on the broad requirements of the survey to the details of the sampling procedures, is described in this article.
    Release date: 1975-06-16
  • 10,772. Some estimators for domain totals Archived
    Articles and reports: 12-001-X197500100004
    Description: A major concern in large scale surveys is the problem of sub-population estimation (domain estimation). This paper presents a study of four estimators for estimating domain totals. The domain considered in the study is an area type of domain, that is, a domain consisting of a combination of a certain number of area units belonging to different strata. This paper uses some actual data and some fictitious data to compare variances and mean square errors of the four estimators.
    Release date: 1975-06-16
  • 10,773. A comparison of some binomial factors for the Labour Force Survey Archived
    Articles and reports: 12-001-X197500100005
    Description: Binomial factors (sometimes called design effects) can be used to assess the quality and performance, with respect to sampling variability of survey estimates, of a sample design and estimation procedure relative to assumed simple random sample designs. In this paper four types of binomial factors have been defined and calculated for the monthly Canadian Labour Force Survey. Some results from the analysis of these factors are presented in this paper.
    Release date: 1975-06-16
  • 10,774. Non-interview patterns in the Canadian Labour Force Survey Archived
    Articles and reports: 12-001-X197500100006
    Description: This paper summarizes the results of a project conducted to study non-interviews in the Canadian Labour Force Survey. Temporarily absent (32.7%), no-one-home (31.4%), and refusal (25.5%) are the major components of non-response. The impact of these components to the total non-response in Surveys from July 1972 to June 1973 is discussed in detail.

    A detailed analysis of refusal households showed that existing field follow-up procedures were not quite successful in reducing the refusal component. As expected, non-response was found to be related to the length of tenure of households in the sample. Non-response among households enumerated for the first time was generally higher than those households already in the sample.
    Release date: 1975-06-16
  • 10,775. Components of variance model in multi-stage stratified samples Archived
    Articles and reports: 12-001-X197500100007
    Description: There are several multi-stage sample designs in various countries, such as the Current Population Survey in U.S.A., Labour Survey in Sweden, and the General Household Survey in United Kingdom. From each survey, estimated totals of Employed, Unemployed, and other characteristics may be obtained.

    The Canadian Labour Force Survey is a monthly household survey in which the dwelling is the ultimate unit of sampling requiring two to four stages of selection. Each province is split up into strata and sampling units at various stages so that the sampling variance contains up to four components of variance whose actual formulae and estimation formulae are derived, utilizing those formerly derived by Yates and Grundy [12]. Ratio estimation is employed and the formulas are modified accordingly. To analyze the components of variance, it is necessary to express them in terms of components of sampling ratios and the sizes of sampling units at the various stages at provincial and national levels and approximate variance functions are thus derived.
    Release date: 1975-06-16
  • 10,776. A strategy for up-dating continuous surveys Archived
    Articles and reports: 12-001-X197500100008
    Description: The need for regular up-dating of the selection probabilities in continuous surveys is emphasized in this paper. A simple strategy (selection method for the initial sample with the revision procedure) is presented and its application to the Canadian Labour Force Survey is discussed.
    Release date: 1975-06-16
  • 10,777. Reinterview programs and response errors Archived
    Articles and reports: 12-001-X197500100009
    Description: This paper discusses several reinterview techniques and their use in relation to Response Variance, Response Bias, Interviewer Training, and the monitoring of various elements of the interview process. Using the Canadian Labour Force Survey as a case study the article describes how reinterview techniques were developed as the survey evolved and briefly describes the strategy being followed in the present reinterview program.
    Release date: 1975-06-16
Reference (2,029)

Reference (2,029) (20 to 30 of 2,029 results)

  • 21. Canadian Export Classification
    Classification: 65-209-X
    Description: The Canadian Export Classification is a structured, hierarchical classification system based on the Harmonized Description and Coding System. The HS nomenclature is divided into 21 Sections, which in general, group goods produced in the same sector of the economy.
    Release date: 2025-12-04
  • 22. The Guide to the Post Index
    Surveys and statistical programs – Documentation: 62F0072G
    Description: The Post Indexes are a collection of spatial price indexes for Government of Canada staff posted abroad that compare the cost of purchasing a fixed basket of goods and services between the post locations and Ottawa. These indexes are constructed as part of Foreign Service Directive 55.
    Release date: 2025-11-25
  • 23. Public Sector Universe
    Classification: 68-516-X
    Description: This product presents the Public Sector Universe, defined by Statistics Canada as a list of institutional units that are included in the economic measurement of governments in Canada. An institutional unit is defined as an economic entity that is capable, in its own right, of owning assets, incurring liabilities, and engaging in economic activities and in transactions with other entities. It includes the sectors of education, health, general government and government business enterprise sectors for all levels of government in Canada, annually, since 2008.
    Release date: 2025-11-21
  • 24. Census of Environment: Spatial information products
    Geographic files and documentation: 16-510-X
    Description: Spatial information products provide users with data for visualization, reference, mapping and spatial analysis using geographical information systems (GIS). Available files include spatial environmental data as well as documentation and metadata. This information is released as part of a suite of products associated with the Census of Environment (CoE). The CoE organizes data about Canada’s natural environment using the System of Environmental-Economic Accounting – Ecosystem Accounting international statistical standard, which takes a spatial approach to accounting for Canada’s ecosystems and natural capital.
    Release date: 2025-11-17
  • 25. Urban greenness: Geospatial files
    Geographic files and documentation: 16-510-X2024003
    Description: This product contains gridded datasets of annual estimates of average normalized difference vegetation index (NDVI) and green/grey classification.

    "Urban greenness" is a measure that assesses the condition and health of an urban landscape. Vegetation contributes to more livable, beautiful communities by helping to clean the air, moderate the local climate, control water flow and provide habitats for wildlife.

    Annual average normalized difference vegetation index datasets and annual green/grey classifications are available for the years 2000 to 2025 and cover Canada south of 60°N.
    Release date: 2025-11-17
  • 26. Urban greenness: Data product specifications, 2025
    Geographic files and documentation: 16-510-X2025006
    Description: This product contains specifications intended for users of the urban greenness geospatial files. This document provides important technical information for users and links to methodology.
    Release date: 2025-11-17
  • 27. Survey on the Official Language Minority Population: User guide, 2022 (2025 revisions)
    Surveys and statistical programs – Documentation: 89-657-X2025002
    Description: The Survey on the Official Language Minority Population (SOLMP) user guide contains a description of the survey, along with survey concepts and definitions and an overview of the content development. The target and survey populations, the sample design and sample size are described in the Methodology section, while the Data Collection module provides the collection period and instrument, modes of collection, collection and communications strategies and response rates.

    Updates to the guide include descriptions of the survey data processing, survey error and weighting, and guidelines for tabulations and analysis. Appendices will provide a listing of questions and variables which changed between the current and previous occasions of the survey, as well as various primers on the survey methodology.
    Release date: 2025-11-14
  • 28. Statistics Canada Fees Report
    Notices and consultations: 89-26-0001
    Description: The Fees Report must be tabled in parliament annually, as per the Service Fees Act, which came into force in June 2017. The Service Fees Act introduces a modern legislative framework that enables cost-effective delivery of services and, through enhanced reporting to Parliament, improved transparency and oversight.
    Release date: 2025-11-07
  • 29. Departmental Results Report
    Notices and consultations: 11-628-X
    Description: Departmental Results Reports (DRRs) are part of the Estimates family of documents. Estimates documents support appropriation acts, which specify the amounts and broad purposes for which funds can be spent by the government. The Estimates document family has three parts.

    Part I (Government Expenditure Plan) provides an overview of federal spending.

    Part II (Main Estimates) lists the financial resources required by individual departments, agencies and Crown corporations for the upcoming fiscal year.

    Part III (Departmental Expenditure Plans) consists of two documents. Departmental Plans (DPs) are expenditure plans for each appropriated department and agency (excluding Crown corporations).

    Release date: 2025-11-07
  • 30. Longitudinal Administrative Data Dictionary
    Surveys and statistical programs – Documentation: 12-585-X
    Description: This product is the dictionary for the Longitudinal Administrative Databank (LAD). The dictionary contains a complete description for each of the income and demographic variables in the LAD, including name, acronym, definition, source, historical availability and historical continuity.

    The following is a partial list of LAD variables: age, sex, marital status, family type, number and age of children, total income, wages and salaries, self-employment, Employment Insurance, Old Age Security, Canada and Quebec Pension Plans, social assistance, investment income, rental income, alimony, registered retirement savings plan (RRSP) income and contributions, low-income status, full-time education deduction, provincial refundable tax credits, goods and service tax (GST) credits, Canada Child Tax Benefits, selected immigration variables, Tax Free Savings (TFSA) information and Canadian Controlled Private Corporations (CCPC) information.

    Release date: 2025-10-31

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