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All (26,548) (0 to 10 of 26,548 results)
- Data Visualization: 71-607-XDescription: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.Release date: 2026-05-29
- Table: 33-10-0036-01Geography: CanadaFrequency: DailyDescription:
This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Type of currency (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).
Release date: 2026-05-29 - Table: 34-10-0163-01Geography: Canada, Province or territoryFrequency: QuarterlyDescription: This table contains 1812 series, with data for years 2009 – 2018 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick;… ) Prices (3 items: Current prices; 2017 constant prices; Chained (2017) dollars) Sector (4 items: Total all sectors; Business sector; Government sector; Non-profit institutions serving households sector) Flows and stocks (3 items: Investment; Geometric depreciation; Geometric end-year net stock) Assets (7 items: Total assets; Total non-residential; Non-residential buildings; Engineering construction; ...).Release date: 2026-05-29
- Table: 36-10-0103-01Geography: CanadaFrequency: QuarterlyDescription: Quarterly income-based gross domestic product, Canada.Release date: 2026-05-29
- Table: 36-10-0104-01Geography: CanadaFrequency: QuarterlyDescription: Quarterly expenditure-based, gross domestic product, Canada, in chained (2017) and current dollars.Release date: 2026-05-29
- Table: 36-10-0105-01Geography: CanadaFrequency: QuarterlyDescription: Quarterly indexes and contributions to percent change of real gross domestic product, real gross domestic income, terms of trade and other statistics, 2017=100.Release date: 2026-05-29
- Table: 36-10-0106-01Geography: CanadaFrequency: QuarterlyDescription: Quarterly fixed-weighted price and implicit price indexes and contributions to percent change in implicit price indexes for expenditure-based gross domestic product, Canada, 2017 = 100.Release date: 2026-05-29
- Table: 36-10-0107-01Geography: CanadaFrequency: QuarterlyDescription: Quarterly household final consumption expenditure components in chained (2017) and current dollars.Release date: 2026-05-29
- Table: 36-10-0108-01Geography: CanadaFrequency: QuarterlyDescription: Quarterly gross fixed capital formation components in chained (2017), current dollars and contribution to percent change.Release date: 2026-05-29
- Table: 36-10-0109-01Geography: CanadaFrequency: QuarterlyDescription: Quarterly investment in inventories components in chained (2017) and current dollars.Release date: 2026-05-29
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Data (13,283)
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Analysis (10,766)
Analysis (10,766) (10,690 to 10,700 of 10,766 results)
- 10,691. Commissioning research - The business relationship ArchivedArticles and reports: 12-001-X198000254950Description: The government survey sponsor should plan carefully what he expects to get from the supplier, specifying who is to do what, when, including details of what the sponsor will do. If there are many eligible suppliers, only a small number should be invited to submit proposals, increasing as the value of the contract increases. Procedures for screening suppliers and selecting the successful one should be organized before proposals are received. These should include visits to review suppliers, facilities and organization, as a good relationship between a sponsor and a supplier depends largely on good faith and willing cooperation. Sponsor-supplier relationships are more formal, and more time-consuming in the selection process, than in the private sector.Release date: 1980-12-15
- 10,692. Serving the needs of the user ArchivedArticles and reports: 12-001-X198000254951Description: Various research methods are discussed in terms of evaluating government programs and meeting the needs of users in the private sector. A brief evaluation of social trend studies is given, as well as a description of problems associated with consumer research.Release date: 1980-12-15
- Articles and reports: 12-001-X198000154834Description:
The paper illustrates several practical problems in the adaptation of statistical theory to survey design in the context of the revision of an employment survey programme.
Release date: 1980-06-16 - 10,694. Reverse record check: Tracing people in Canada ArchivedArticles and reports: 12-001-X198000154835Description:
The Reverse Record Check is the main vehicle used to assess the level of undercoverage in the Canadian Census of Population. A sample of persons is selected from sources independent of the current census and extensive tracing operations are undertaken to determine the usual address of each selected person as of Census day. Census records are then checked to determine whether or not each selected person was enumerated. The tracing is by far the most complex, costly and time-consuming operation associated with this study. It involves extensive use of administrative records as well as tracing in the field. This paper describes the various tracing methods used as well as the success obtained from each of them.
Release date: 1980-06-16 - Articles and reports: 12-001-X198000154836Description: In this paper three types of ratio estimators, namely combined, post-stratified and a generalized ratio estimator developed earlier by Singh (1969) and Naga Reddy (1974), are considered. Based on an empirical evaluation, their efficiencies are compared for two large scale household surveys, namely the Canadian Labour Force Survey and the Survey of Consumer Finances.Release date: 1980-06-15
- Articles and reports: 12-001-X198000154837Description: Statistics on sales of establishments classified as restaurants, caterers and taverns have been collected since 1951. The sample has not been updated for births since 1968 and as a result, it is not representative of the current universe. This paper reports on several methodological aspects of the redesign. The sampling unit, sample design, sample size and allocation, data collection methods, edits and imputations, accumulations and calculations, frame and sample maintenance are described. The new survey will reduce manual procedures wherever possible. Collection, editing, imputation, tabulation and updating procedures will be completely computerized. Data collection will be decentralized and will take place via telephone.Release date: 1980-06-15
- 10,697. 1979 Farm Expenditure Survey design and estimation procedures ArchivedArticles and reports: 12-001-X198000154838Description: The Farm Expenditure Survey was developed to provide annual expenditure estimates for the Western Grain Stabilization Act which is an income stabilization program for grain farmers in the prairies and Peace River district of British Columbia. This paper describes the design of the 1979 survey which incorporated a stratified two-stage design in the area sample and a single take-all stratum in the list sample.Release date: 1980-06-15
- Articles and reports: 12-001-X197900254834Description: An alternative to the direct selection of sample is suggested, which while retaining the efficiency at the same level simplifies the selection and variance estimation processes in a wide variety of situations. If n* is the largest feasible pPS sample size that can be drawn from a given population of size N, then the proposed method entails selection of m (=N - n*) units using a pPS scheme and rejecting these units from the population such that the remainder is a pPS sample of n* units; the final sample of n units is then selected as a subsample from the remainder set. This method for selecting the pPS sample can be seen as an analogue of SRS where it is well known that the “unsampled” part of the population as well as any subsample from this part are also SRS from the entire population when SRS is the procedure used. The method is very practical for situations where m is less than the actual sample size n. Moreover, the method has the additional advantage in the context of continuing surveys, e.g. Canadian Labour Force Survey (LFS), where the number of primary sampling units (PSU’s) may have to be increased (or decreased) subsequent to the initial selection of the sample. The method also has advantages in the case of sample rotation. Main features of the proposed scheme and its limitations are given. Efficiency of the method is also evaluated empirically.Release date: 1979-12-15
- 10,699. Test of multiple frame sampling techniques for agricultural surveys: New Brunswick, 1978 ArchivedArticles and reports: 12-001-X197900254835Description: The problem considered in this paper is the estimation of various agricultural variables using a multiple frame approach. The list frame is completely contained within the area frame. The stratification for the list and area frames are based on different criteria. Overall, the multiple frame shows some gains in terms of variance over the area frame. However, a more careful analysis reveals problem areas associated with the list frame such as the method of stratification and the degeneration of list strata over time.Release date: 1979-12-15
- Articles and reports: 12-001-X197900254836Description: This article presents the methodology and analysis of two major pretests undertaken in order to compare the effectiveness of different interviewing methods and to assess the feasibility of collecting information which would meet Victimization Survey information requirements.Release date: 1979-12-15
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Reference (2,027)
Reference (2,027) (20 to 30 of 2,027 results)
- Classification: 68-516-XDescription: 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
- Geographic files and documentation: 16-510-XDescription: 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
- Geographic files and documentation: 16-510-X2024003Description: 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
- Geographic files and documentation: 16-510-X2025006Description: 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
- Surveys and statistical programs – Documentation: 89-657-X2025002Description: 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
- Notices and consultations: 11-628-XDescription: 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 - Notices and consultations: 89-26-0001Description: 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
- Surveys and statistical programs – Documentation: 12-585-XDescription: 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 - Surveys and statistical programs – Documentation: 81-582-GDescription: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.
The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.
Release date: 2025-10-24 - Surveys and statistical programs – Documentation: 62F0014M2025006Description: This technical guide describes the methodological details for the Architectural, Engineering and Related Services Price Index (AESPI) from 2024 onward. The document includes information about the purpose of the index, data sources, and index estimation and aggregation.Release date: 2025-10-24
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