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Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (22 items: Prince Edward Island; Canada; Newfoundland and Labrador; Atlantic provinces ...), Housing estimates (3 items: Housing starts; Housing completions; Housing under construction ...), Type of unit (6 items: Total units; Semi-detached units; Row units; Single-detached units ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (86 items: Nova Scotia; Prince Edward Island; Canada; Newfoundland and Labrador ...), Type of dwelling unit (5 items: Total units; Row units; Single units; Semi-detached units ...), Type of market (5 items: Homeowner; Rental; Condo; Co-op ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (37 items: Census metropolitan areas; Abbotsford-Mission, British Columbia; Barrie, Ontario; Brantford, Ontario; ...);  Completed dwelling units (2 items: Absorptions; Unabsorbed inventory);  Type of dwelling unit (3 items: Total units; Single detached units; Semi-detached units).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (38 items: All census agglomerations 50;000 and over; Barrie; Ontario; Belleville; Ontario; Abbotsford-Mission; British Columbia ...), Completed dwelling units (2 items: Absorptions; Unabsorbed inventory ...), Type of dwelling unit (3 items: Total units; Single detached units; Semi-detached units ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Canada ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (5 items: Total units; Single-detached units; Row units; Semi-detached units ...).

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; ...).

Description: The Public-Use Microdata File (PUMF) for the Survey of Household Spending (SHS) provides information on household expenditures as well as selected information on dwelling characteristics and household equipment. The production of this file includes many safeguards to prevent the identification of any one person or household.

PUMFs were produced on an annual basis for SHS 1997 to 2009, before a redesigned survey was introduced with the 2010 reference year. The SHS 2017 PUMF is the first SHS PUMF based on data collected after the 2010 survey redesign.

Due to changes to data collection, processing and estimation methods introduced with the 2010 redesign, users are advised not to compare data from SHS 1997 to 2009 with data from any subsequent years, unless otherwise noted.

Description: Basket weights of major components, gasoline, and selected special aggregates of the Consumer Price Index (CPI) basket, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit, last 5 years of the CPI basket. Includes price period of the weights as either weights at basket link month prices or weights at basket reference period prices. Weights are shown in percentage terms.

Description: Basket weights of the all-items Consumer Price Index (CPI) basket, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit, last 5 years of the CIP basket. Includes price period of the weights as either weights at basket link month prices or weights at basket reference period prices. Weights are shown in percentage terms.

Description:

Wholesale sales, price and volume, for Canada, includes all members under North American Industry Classification System. Data are seasonally adjusted, available on a monthly basis in dollars x 1,000,000.

Description:

Wholesale sales, price and volume for motor vehicle and parts merchant wholesalers. Data are seasonally adjusted, available for Canada on a monthly basis in dollars x 1,000,000.

Description:

Wholesale trade sales, available for all members under North American Industry Classification System (NAICS) and adjustments dimensions, available monthly, for Canada, provinces and territories, in dollars X 1,000.

Description:

Wholesale trade sales for motor vehicle and parts merchant wholesalers. Seasonally adjusted and unadjusted data are available on a monthly basis for Canada, provinces and territories, in dollars X 1,000.

Description:

Wholesale trade inventories, available for all members under adjustments and North American Industry Classification System (NAICS) dimensions, available on a monthly basis, for Canada, in dollars x 1,000.

Description:

Wholesale trade inventories for motor vehicle and parts merchant wholesalers. Seasonally adjusted and unadjusted data are available on a monthly basis for Canada, in dollars x 1,000.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Description:

The problem of specifying and estimating the variance of estimated parameters based on complex sample designs from finite populations is considered. The results of this paper are particularly useful when the parameter estimators cannot be defined explicitly as a function of other statistics from the sample. It is shown how these results can be applied to linear regression, logistic regression and log linear contingency table models.

Description:

This geographical file represents Canada's national road network, containing information such as street names, types, directions and address ranges.

A reference guide is available (Road Network File, Reference Guide, 92-500-G).

Description: This report provides a summary of changes to municipal boundaries, status and names. The list is usually produced on an annual basis for changes that occurred during the previous year. A five year list is produced on Census of population years.

Description: The Canadian Census Health and Environment Cohorts (CanCHECs) are a series of population-based microdata linkages. The CanCHECs combine census respondents to the long-form questionnaire with administrative health data and annual postal codes for mailing addresses. These data can be used to examine health outcomes by population characteristics measured by the census long-form sample data. This user guide has been created to help potential data users, including researchers and academics, public health officials, government agencies, the private sector, and non-governmental organizations.

Description: This reference guide is intended for users of the Survey of Environmental Goods and Services (SEGS). The tables indicate which technologies and services were included in SEGS.

Description: This publication provides user guides and datasets containing statistics on a variety of topics and issues related to justice and community safety.

Description: The Canadian Index of Social Resilience (CISR) and the Canadian Index of Social Vulnerability (CISV) were created to provide area-based information on resilience and vulnerability to natural hazards and disasters across Canada. The user guide explains how the CISR and CISV were developed and how to use them. The indexes can be used to better understand areas which may experience the largest disproportional social impacts from natural hazards.

Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.

Description: This product contains specifications intended for users of the land cover register geospatial files. This document provides important technical information for users and links to methodology.

Description: This product contains specifications intended for users of the Statistical Ecosystem Register grid system reference files. This document provides important technical information for users, including the coordinate reference system, resolution, and file contents and structure. This document also provides additional information about the grid system, reasons for some of the chosen parameters, and intended uses.

Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analysing data. This video will introduce you to census data and census data tables.