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All (24,672)

All (24,672) (10 to 20 of 24,672 results)

  • Table: 16-10-0017-05
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2024-11-04

  • Table: 16-10-0017-06
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2024-11-04

  • Table: 16-10-0017-07
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Lumber, monthly stock, by species for British Columbia; data in thousands of cubic metres.
    Release date: 2024-11-04

  • Table: 16-10-0046-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Wood chips, monthly production, shipments and stocks for Canada, British Columbia, British Columbia coast, British Columbia interior and other provinces. The data are in thousands of oven-dry metric tonnes.
    Release date: 2024-11-04

  • Table: 20-10-0081-01
    Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description: Historical releases of retail trade sales, available for all members under release and adjustment dimensions, for Canada, provinces and territories, available on a monthly basis in dollars x 1,000.
    Release date: 2024-11-04

  • Table: 20-10-0082-01
    Geography: Canada
    Frequency: Monthly
    Description: Historical (real-time) releases of retail sales, price, and volume, available for all members under North American Industry Classification System (NAICS) dimension, for Canada, available on a monthly basis, seasonally adjusted, in dollars x 1,000,000.
    Release date: 2024-11-04

  • Table: 21-10-0057-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of all NAICS under amusement parks and arcades (7131) and other amusement and recreation industries (7139), annual, for four years of data.
    Release date: 2024-11-04

  • Table: 21-10-0058-01
    Geography: Canada
    Frequency: Annual
    Description: The operating expenses by North American Industry Classification System (NAICS) which include the industry expenditures, for amusement and recreation, annual (percent), for four years of data.
    Release date: 2024-11-04

  • Table: 21-10-0104-01
    Geography: Canada
    Frequency: Annual
    Description:

    Amusement and recreation, e-commerce sales, by North American Industry Classification System (NAICS) 7131 Amusement parks and arcades, (NAICS) 7139 Other amusement and recreation industries, which includes all members under Sales, (dollars X 1,000,000), annual (percent), for five years of data.

    Release date: 2024-11-04

  • Table: 33-10-0036-01
    Geography: Canada
    Frequency: Daily
    Description:

    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: 2024-11-04
Data (12,181)

Data (12,181) (30 to 40 of 12,181 results)

  • Table: 18-10-0273-02
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    New condominium apartment price index (NCAPI) by census metropolitan area. Quarterly data are available from the second quarter of 2017. The table presents quarter-over-quarter and year-over-year percentage changes. The base period of the index is 2017=100.

    Release date: 2024-11-01

  • Table: 25-10-0022-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Data presented at the national and provincial levels, however not all combinations are available. Electric power generating capacity by class of electricity producer (public and private electric utilities, as well as industries) and type of electricity generation (Hydraulic turbine, Wind power turbine, Tidal power turbine, etc).
    Release date: 2024-11-01

  • Table: 25-10-0022-02
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Data presented at the national and provincial levels, however not all combinations are available. Electric power generating capacity by class of electricity producer (public and private electric utilities, as well as industries) and type of electricity generation (Hydraulic turbine, Wind power turbine, Tidal power turbine, etc).
    Release date: 2024-11-01

  • Table: 25-10-0023-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Data presented at the national and provincial levels, however not all combinations are available. Conventional thermal generating capacity by class of electricity producer (electric utilities and industries), type of generation (Conventional steam turbine, combustion turbine and internal combustion turbine) and principal fuel (Coal, oil, natural gas, etc).
    Release date: 2024-11-01

  • Table: 27-10-0025-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Provincial estimates of research and development expenditures in the higher education sector, by funding sector and type of science by provinces, from 2000 to today.
    Release date: 2024-11-01

  • Table: 33-10-0398-01
    Geography: Population centre
    Frequency: Weekly
    Description:

    The RT-LBCI is released as an experimental statistic. It is intended to provide a real-time signal on business activities following the disruptions brought about by the pandemic and through the recovery phase.

    Release date: 2024-11-01

  • Table: 38-10-0099-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description:

    Wastewater (sewage) volumes by month, province, territory and drainage region.

    Release date: 2024-11-01

  • Table: 38-10-0100-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description:

    Discharge volumes from combined sewers by month, province, territory and drainage region.

    Release date: 2024-11-01

  • Table: 38-10-0119-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description:

    Population served by municipal wastewater systems, by province, territory and drainage region.

    Release date: 2024-11-01

  • Table: 38-10-0124-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description:

    Wastewater volumes discharged by treatment category, province and territory.

    Release date: 2024-11-01
Analysis (10,081)

Analysis (10,081) (9,960 to 9,970 of 10,081 results)

  • Articles and reports: 12-001-X198600214449
    Description:

    Nearly all surveys and censuses are subject to two types of nonresponse: unit (total) and item (partial). Several methods of compensating for nonresponse have been developed in an attempt to reduce the bias associated with nonresponse. This paper summarizes the nonresponse adjustment procedures used at the U.S. Census Bureau, focusing on unit nonresponse. Some discussion of current and future research in this area is also included.

    Release date: 1986-12-15

  • Articles and reports: 12-001-X198600214450
    Description:

    From an annual sample of U.S. corporate tax returns, the U.S. Internal Revenue Service provides estimates of population and subpopulation totals for several hundred financial items. The basic sample design is highly stratified and fairly complex. Starting with the 1981 and 1982 samples, the design was altered to include a double sampling procedure. This was motivated by the need for better allocation of resources, in an environment of shrinking budgets. Items not observed in the subsample are predicted, using a modified hot deck imputation procedure. The present paper describes the design, estimation, and evaluation of the effects of the new procedure.

    Release date: 1986-12-15

  • Articles and reports: 12-001-X198600214451
    Description:

    The Canadian Census of Construction (COC) uses a complex plan for sampling small businesses (those having a gross income of less than $750,000). Stratified samples are drawn from overlapping frames. Two subsamples are selected independently from one of the samples, and more detailed information is collected on the businesses in the subsamples. There are two possible methods of estimating totals for the variables collected in the subsamples. The first approach is to determine weights based on sampling rates. A number of different weights must be used. The second approach is to impute values to the businesses included in the sample but not in the subsamples. This approach creates a complete “rectangular” sample file, and a single weight may then be used to produce estimates for the population. This “large-scale imputation” technique is presently applied for the Census of Construction. The purpose of the study is to compare the figures obtained using various estimation techniques with the estimates produced by means of large-scale imputation.

    Release date: 1986-12-15

  • Articles and reports: 12-001-X198600214462
    Description:

    In the presence of unit nonresponse, two types of variables can sometimes be observed for units in the “intended” sample s, namely, (a) variables used to estimate the response mechanism (the response probabilities), (b) variables (here called co-variates) that explain the variable of interest, in the usual regression theory sense. This paper, based on Särndal and Swensson (1985 a, b), discusses nonresponse adjusted estimators with and without explicit involvement of co-variates. We conclude that the presence of strong co-variates in an estimator induces several favourable properties. Among other things, estimators making use of co-variates are considerably more resistant to nonresponse bias. We discuss the calculation of standard error and valid confidence intervals for estimators involving co-variates. The structure of the standard error is examined and discussed.

    Release date: 1986-12-15

  • Articles and reports: 12-001-X198600214463
    Description:

    The procedure of subsampling the nonrespondents suggested by Hansen and Hurwitz (1946) is considered. Post-stratification prior to the subsampling is examined. For the mean of a characteristic of interest, ratio estimators suitable for different practical situations are proposed and their merits are examined. Suitable ratio estimators are also suggested for the situations in which the Hard-Core are present.

    Release date: 1986-12-15

  • Articles and reports: 12-001-X198600114404
    Description:

    Missing survey data occur because of total nonresponse and item nonresponse. The standard way to attempt to compensate for total nonresponse is by some form of weighting adjustment, whereas item nonresponses are handled by some form of imputation. This paper reviews methods of weighting adjustment and imputation and discusses their properties.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114437
    Description:

    In this paper, different types of response/nonresponse and associated measures such as rates are provided and discussed together with their implications on both estimation and administrative procedures. The missing data problems lead to inconsistent terminology related to nonresponse such as completion rates, eligibility rates, contact rates, and refusal rates, many of which can be defined in different ways. In addition, there are item nonresponse rates as well as characteristic response rates. Depending on the uses, the rates may be weighted or unweighted.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114438
    Description:

    Using the optimal estimating functions for survey sampling estimation (Godambe and Thompson 1986), we obtain some optimality results for nonresponse situations in survey sampling.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114439
    Description:

    Multiple imputation is a technique for handling survey nonresponse that replaces each missing value created by nonresponse by a vector of possible values that reflect uncertainty about which values to impute. A simple example and brief overview of the underlying theory are used to introduce the general procedure.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114440
    Description:

    Statistics Canada has undertaken a project to develop a generalized edit and imputation system, the intent of which is to meet the processing requirements of most of its surveys. The various approaches to imputation for item non-response, which have been proposed, will be discussed. Important issues related to the implementation of these proposals into a generalized setting will also be addressed.

    Release date: 1986-06-16
Reference (1,936)

Reference (1,936) (0 to 10 of 1,936 results)

  • 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: 2024-10-28

  • Surveys and statistical programs – Documentation: 98-303-X
    Description: The Coverage Technical Report will present the errors included in census data that result from persons who are either missed (not enumerated) or enumerated more than once. The population coverage error is one of the most important types of errors because it affects the accuracy of not only population counts, but also all the census data results that describe the characteristics of the population universe.
    Release date: 2024-10-23

  • Notices and consultations: 13-605-X
    Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.
    Release date: 2024-09-23

  • Geographic files and documentation: 16-510-X2024001
    Description: This product contains gridded datasets of annual and 30-year average estimates of water yield. Tracking water yield—an estimate of renewable water supply derived from National Water Data Archive (HYDAT) streamflow data—provides information to help understand water resources available for human use and ecosystem needs. Annual datasets are available for the years 1971 to 2021 and cover southern Canada. Thirty-year averages are available for 1971-2000, 1981-2010, and 1991-2020. They cover the terrestrial and freshwater extent of Canada, except for the Arctic Archipelago.
    Release date: 2024-09-19

  • Geographic files and documentation: 16-510-X2024002
    Description: This product contains specifications intended for users of the water yield geospatial files. This document provides important technical information for users and links to methodology.
    Release date: 2024-09-19

  • 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: 2024-09-19

  • Surveys and statistical programs – Documentation: 37-20-0001
    Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.
    Release date: 2024-08-15

  • Surveys and statistical programs – Documentation: 89-653-X2024002
    Description: This guide is intended to provide a detailed review of both the 2022 IPS and IPS–NIS with respect to subject matter and methodological approaches. It is designed to help data users by serving as a guide to the concepts and measures of the survey as well as the technical details of the survey’s design, field work and data processing. This guide is meant to provide users with helpful information on how to use and interpret survey results. The discussion on data quality also allows users to review the strengths and limitations of the data for their particular needs.

    Chapter 1 of this guide provides an overview of the 2022 IPS and IPS–NIS by introducing the survey background and objectives. Chapter 2 outlines the survey’s themes and explains the key concepts and definitions used for the survey. Chapters 3 to 6 cover important aspects of the survey methodology, sampling design, data collection and processing. Chapters 7 and 8 review issues of data quality and caution users about comparing 2022 IPS or IPS–NIS data with data from other sources. Chapter 9 outlines the survey products available to the public, including data tables, analytical articles and reference material. The appendices provide a comprehensive list of survey indicators, extra coding categories and standard classifications used on both the IPS and the IPS–NIS. Lastly, a glossary of survey terms and information on confidence intervals is also provided.
    Release date: 2024-08-14

  • Surveys and statistical programs – Documentation: 73-506-G
    Description: The Guide to Employment Insurance Statistics (EIS) summarizes the survey methodology and data source and includes a dictionary of concepts and definitions used by the program.
    Release date: 2024-07-18

  • Surveys and statistical programs – Documentation: 98-20-00032021031
    Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. This video will provide an overview of the major links and products on the main page that are available to all users.
    Release date: 2024-07-10
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