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- Census of Population (13)
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All (162)
All (162) (40 to 50 of 162 results)
- 41. National statistical standards: Tested and trusted ArchivedStats in brief: 11-627-M2020051Description:
This infographic provides an overview of national statistical standards, explaining what they are and where they are used, the advantages of using them, and the role they play in the collection and dissemination of disaggregated data.
Release date: 2020-07-24 - Articles and reports: 62F0014M2020011Description:
A summary of methodological treatments as applied to the June 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.
Release date: 2020-07-22 - Articles and reports: 82-003-X202000300001Description:
This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.
Release date: 2020-06-17 - Articles and reports: 62F0014M2020009Description:
A summary of methodological treatments as applied to the May 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.
Release date: 2020-06-17 - 19-23-0005Description:
The service aims to provide clients with various advice and customise training on statistical methodology.
Release date: 2020-06-12 - Articles and reports: 62F0014M2020008Description:
This document describes the methodology and data source for the provincial monthly average retail prices table. This supplement also explains the difference between the Consumer Price Index and average retail prices in context of inflation.
Release date: 2020-06-10 - Surveys and statistical programs – Documentation: 89-26-0003Description:
Statistics Canada Data Strategy (SCDS) provides a course of action for managing and leveraging the agency’s data assets to ensure their optimal use and value while maintaining public trust. As Statistics Canada is the nation’s trusted provider of high-quality data and information to support evidence-based policy and decision making, the SCDS also naturally includes the agency’s plan for providing support and data expertise to other government organizations (federal, provincial and territorial), non-governmental organizations, the private sector, academia, and other national and international communities).
The SCDS provides a roadmap for how Statistics Canada will continue to govern and manage its valuable data assets as part of its modernization agenda and in alignment with and response to other federal government strategies and initiatives. These federal strategies include the Data Strategy for the Federal Public Service, Canada’s 2018-2020 National Action Plan on Open Government, and the Treasury Board Secretariat Digital Operations Strategic Plan: 2018-2022.
Release date: 2020-04-30 - 48. Big data, deeper insights: Why Statistics Canada’s drive to lead the knowledge revolution will matter to you ArchivedStats in brief: 11-631-X2020001Description:
This booklet provides a snapshot of data offered by Statistics Canada.
Release date: 2020-01-16 - Journals and periodicals: 92F0138MDescription:
The Geography working paper series is intended to stimulate discussion on a variety of topics covering conceptual, methodological or technical work to support the development and dissemination of the division's data, products and services. Readers of the series are encouraged to contact the Geography Division with comments and suggestions.
Release date: 2019-11-13 - Surveys and statistical programs – Documentation: 99-011-XDescription:
This topic presents data on the Aboriginal peoples of Canada and their demographic characteristics. Depending on the application, estimates using any of the following concepts may be appropriate for the Aboriginal population: (1) Aboriginal identity, (2) Aboriginal ancestry, (3) Registered or Treaty Indian status and (4) Membership in a First Nation or Indian band. Data from the 2011 National Household Survey are available for the geographical locations where these populations reside, including 'on reserve' census subdivisions and Inuit communities of Inuit Nunangat as well as other geographic areas such as the national (Canada), provincial and territorial levels.
Analytical products
The analytical document provides analysis on the key findings and trends in the data, and is complimented with the short articles found in NHS in Brief and the NHS Focus on Geography Series.
Data products
The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.
Release date: 2019-10-29
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Data (1)
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- 1. National Population Health Survey Overview ArchivedTable: 82-567-XDescription:
The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.
This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.
Release date: 1998-07-29
Analysis (102)
Analysis (102) (30 to 40 of 102 results)
- 31. Data Visualization: An introduction ArchivedStats in brief: 89-20-00062020014Description:
This video addresses the data visualization competency. By the end of this video, you should have a deeper understanding of data visualization and how it can be used to present data in an interesting and aesthetically pleasing way. We will go over when it should be used, and we’ll give you some examples of the different types of data visualization techniques that exist.
Release date: 2020-09-23 - Articles and reports: 11-633-X2020002Description:
The concepts of urban and rural are widely debated and vary depending on a country’s geopolitical and sociodemographic composition. In Canada, population centres and statistical area classifications are widely used to distinguish urban and rural communities. However, neither of these classifications precisely classify Canadian communities into urban, rural and remote areas. A group of researchers at Statistics Canada developed an alternative tool called the “remoteness index” to measure the relative remoteness of Canadian communities. This study builds on the remoteness index, which is a continuous index, by examining how it can be classified into five discrete categories of remoteness geographies. When properly categorized, the remoteness index can be a useful tool to distinguish urban, rural and remote communities in Canada, while protecting the privacy and confidentiality of citizens. This study considers five methodological approaches and recommends three methods.
Release date: 2020-08-11 - Articles and reports: 82-003-X202000700002Description:
This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.
Release date: 2020-07-29 - 34. National statistical standards: Tested and trusted ArchivedStats in brief: 11-627-M2020051Description:
This infographic provides an overview of national statistical standards, explaining what they are and where they are used, the advantages of using them, and the role they play in the collection and dissemination of disaggregated data.
Release date: 2020-07-24 - Articles and reports: 62F0014M2020011Description:
A summary of methodological treatments as applied to the June 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.
Release date: 2020-07-22 - Articles and reports: 82-003-X202000300001Description:
This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.
Release date: 2020-06-17 - Articles and reports: 62F0014M2020009Description:
A summary of methodological treatments as applied to the May 2020 CPI in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closures.
Release date: 2020-06-17 - Articles and reports: 62F0014M2020008Description:
This document describes the methodology and data source for the provincial monthly average retail prices table. This supplement also explains the difference between the Consumer Price Index and average retail prices in context of inflation.
Release date: 2020-06-10 - 39. Big data, deeper insights: Why Statistics Canada’s drive to lead the knowledge revolution will matter to you ArchivedStats in brief: 11-631-X2020001Description:
This booklet provides a snapshot of data offered by Statistics Canada.
Release date: 2020-01-16 - Journals and periodicals: 92F0138MDescription:
The Geography working paper series is intended to stimulate discussion on a variety of topics covering conceptual, methodological or technical work to support the development and dissemination of the division's data, products and services. Readers of the series are encouraged to contact the Geography Division with comments and suggestions.
Release date: 2019-11-13
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Reference (54)
Reference (54) (30 to 40 of 54 results)
- Surveys and statistical programs – Documentation: 62F0026M2009002Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2009-12-18 - 32. The Water Yield for Canada As a Thirty-year Average (1971 to 2000): Concepts, Methodology and Initial Results ArchivedSurveys and statistical programs – Documentation: 16-001-M2009007Description:
In this paper, we present the methodology developed by Statistics Canada to calculate the average annual water yield for Canada. Water yield, for the purposes of this paper, is defined as the amount of freshwater derived from unregulated flow (m3 s-1) measurements for a given geographic area over a defined period of time. The methodology is applied to the 1971 to 2000 time period.
This research was conducted to fill data gaps in Statistics Canada's water statistics program. These gaps exist because estimates of freshwater flow for Canada have not been calculated regularly and have been produced using a variety of methods that do not necessarily generate comparable results. The methodology developed in this study produced results that are coherent through space and time. These results will be used in the future to investigate changes in water yield on a more disaggregated basis.
To achieve the water yield estimate a database of natural streamflow observations from 1971 to 2000 was compiled. The streamflow values were then converted to a runoff depth and interpolated using ordinary kriging to produce spatial estimates of runoff. The spatial estimates were then scaled to create a National estimate of water yield as a thirty-year average. The methodology and results were then validated using a stability analysis and several techniques involving uncertainty. The result of the methodology indicates that the thirty-year average water yield for Canada is 3435 km3.
Release date: 2009-06-01 - 33. Aboriginal Peoples Technical Report, 2006 Census ArchivedSurveys and statistical programs – Documentation: 92-569-X2006001Description:
The 2006 Census Technical Report on Aboriginal Peoples deals with: (i) Aboriginal ancestry, (ii) Aboriginal identity, (iii) registered Indian status, and (iv) First Nation or Band membership. The report aims to inform users about the complexity of the data and any difficulties that could affect their use. It explains the conceptual framework and definitions used to gather the data, and it discusses factors that could affect data quality. The historical comparability of the data is also discussed.
Release date: 2009-05-12 - Surveys and statistical programs – Documentation: 91F0015M2008010Geography: CanadaDescription:
The objective of this study is to examine the feasibility of using provincial and territorial health care files of new registrants as an independent measure of preliminary inter-provincial and inter-territorial migration. The study aims at measuring the conceptual and quantifiable differences between this data source and our present source of the Canada Revenue Agency's Canadian Child Tax Benefit.
Criteria were established to assess the quality and appropriateness of these provincial/territorial health care records as a proxy for our migration estimates: coverage, consistency, timeliness, reliability, level of detail, uniformity and accuracy.
Based on the present analysis, the paper finds that these data do not ameliorate the estimates and would not be suitable at this time as a measure of inter-provincial/territorial migration. These Medicare data though are an important independent data source that can be used for quality evaluation.
Release date: 2009-01-13 - 35. Behaviour Study on the Water Quality Index of the Canadian Council of Ministers of the Environment ArchivedSurveys and statistical programs – Documentation: 16-001-M2007003Description:
The objective of the present study is to understand and explain how the Canadian Council of Ministers of the Environment (CCME) Water Quality Index (WQI) behaves, and at the same time determine its limitations to make a better use of it in the future. In order to do so, four data sets were made available to us thanks to participation of the following provinces: Newfoundland, Ontario, British Columbia and Quebec.
Release date: 2007-09-19 - 36. How Statistics Canada Identifies Aboriginal Peoples ArchivedSurveys and statistical programs – Documentation: 12-592-XGeography: CanadaDescription:
This reference document presents an overview of the different questions used by Statistics Canada to identify Aboriginal peoples. It is divided into three parts. Part one is a brief description of the data sources and their limitations. Part 2 deals with the 2006 census questions used to identify Aboriginal peoples while Part 3 deals with the identification questions used in the Aboriginal Peoples Survey (APS) and the Aboriginal Children's Survey (ACS).
Release date: 2007-06-07 - Surveys and statistical programs – Documentation: 62F0026M2006001Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2006-12-12 - 38. The new culture of the Culture Statistics Program ArchivedNotices and consultations: 87-004-X20030039213Description:
The Culture Statistics Program (CSP) has been Statistic Canada's chief source for analysis of the culture sector since the program's inception in 1972 and this role will continue. However, the CSP is making substantial changes to the way it collects culture data and, in effect, the data themselves. This article is intended to inform users of these data, of the scope of these upcoming changes and how the CSP is managing the challenges presented by this transition.
Release date: 2006-06-12 - Surveys and statistical programs – Documentation: 62F0026M2005007Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2005-12-12 - 40. Methodology of the Food Expenditure Survey ArchivedSurveys and statistical programs – Documentation: 62F0026M2005004Description:
The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.
This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.
Release date: 2005-07-08
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