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All (143) (10 to 20 of 143 results)

11. Classification of Instructional Programs (CIP)
Classification: 12-590-X
Description:
The Classification of Instructional Programs (CIP) is used for classifying instructional programs according to field of study. CIP was originally created by the National Center for Education Statistics (NCES) in the United States. It is a hierarchical classification. The classification provides a detailed description of each instructional program class together with illustrative examples of the types of instructional programs found in that class. Illustrative examples are also provided of closely related programs that are classified elsewhere. In addition, the classification includes an introduction to CIP and an alternative structure for the aggregation of field of study data. CIP has a ten-year revision cycle.

Release date: 2022-11-08
12. Housing and dwelling characteristics, 2021 Census of Population
Stats in brief: 98-20-00032021022
Description:
This video introduces household and dwelling characteristics and their use in dissemination and analysis. It also presents the housing variables that are commonly used in analyses such as household maintainer, tenure, total income of household, household size and household type. In addition, the video shows the dwelling characteristics that describe the physical attributes of the living quarters occupied by the household, such as number of rooms, number of bedrooms, period of construction, dwelling condition, condominium status and value (owner estimated).

Release date: 2022-09-21
13. Investigating the Use of Blockchain to Authenticate Data from the Statistics Canada Website
Articles and reports: 11-633-X2022007
Description:
This paper investigates how Statistics Canada can increase trust by giving users the ability to authenticate data from its website through digital signatures and blockchain technology.

Release date: 2022-09-19
14. Mother tongue, 2021 Census of Population
Stats in brief: 98-20-00032021015
Description:
This video will explain why and how census collects data on language and its importance and relevance for governments, researchers and community groups. It provides an understanding of how data on mother tongue is collected, how mother tongue variables are created and how they are disseminated and analyzed. In addition, the video explains the concept of single and multiple responses and the three ways of dealing with multiple responses, that is, separate treatment, inclusion and distribution.

Release date: 2022-08-17
15. Knowledge of official and non-official languages, 2021 Census of Population
Stats in brief: 98-20-00032021016
Description:
This video will allow you to identify the census questionnaire questions on knowledge of official and non-official languages. It will also allow you to understand how variables on knowledge of official and non-official languages are created and how they are disseminated and analyzed.

Release date: 2022-08-17
16. Introduction to income data, 2021 Census of Population
Stats in brief: 98-20-00032021009
Description: This video provides a general overview of the income data collection process and specifies the target population as well as the reference period for income data. It also points out important aspects to consider when looking at income data in conjunction with other demographic, social, ethnocultural, education and labour characteristics.
Release date: 2022-07-13
17. Created Equal
Stats in brief: 45-20-00032022002
Description:
Canada’s diversity and rich cultural heritage have been shaped by the people who have come from all over the world to call it home. But even in our multicultural society, eliminating all forms of discrimination remains a challenge. In this episode, we turn a critical eye to the ways that cognitive bias risks perpetuating systemic racism. Statistics are supposed to accurately reflect the world around us, but are all data created equal? Join our guests, Sarah Messou-Ghelazzi, Communications Officer, Filsan Hujaleh, Analyst with the Centre for Social Data Insights and Innovation, and Jeff Latimer, Director General - Accountable for Health, Justice, Diversity and Populations at Statistics Canada as we explore the role data can play to make Canada a more equal society for all.

Release date: 2022-03-16
18. The Journey of Statistics Canada Data: Why it Matters to You Archived
Stats in brief: 11-627-M2022016
Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.

Release date: 2022-02-28
19. Demystifying Confidence Intervals
19-22-0005
Description:
In this session, we will attempt to demystify the concept of confidence intervals as they relate to sample data. A practical approach is used, placing emphasis on the meaning and interpretation of results rather than the mathematics. The goal is to make sense of some common challenges faced by data users when interpreting confidence intervals. The session is intended for a beginner audience. Some familiarity with basic statistical concepts would be beneficial/advantageous but not required.
https://www.statcan.gc.ca/eng/wtc/information/19220005
Release date: 2021-05-28
20. Statistics 101: Correlation and Causality Archived
Stats in brief: 89-20-00062021002
Description:
This video is intended for viewers who wish to gain a basic understanding of correlation and causality. As a prerequisite, before beginning this video, we highly recommend having already completed our videos titled “What is Data? An Introduction to Data Terminology and Concepts” and “Types of Data: Understanding and Exploring Data”.
Release date: 2021-05-03

Data (8)

Data (8) ((8 results))

1. Canadian Statistical Geospatial Explorer Hub Archived
Data Visualization: 71-607-X2020010
Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.
Release date: 2023-01-24
2. Residential Telephone Service Survey Archived
Public use microdata: 56M0001X
Description:
Statistics Canada was approached by Stentor Resource Centre Incorporated to conduct a survey to monitor the telephone penetration rates across Canada. The survey determines if the respondents have a telephone line in their residence. If they do not have a telephone line, information is collected as to the reasons why. Information is also collected on the income characteristics of the selected households.
The management of the survey was transferred from Stentor to Bell Canada in the Fall of 1998.
The Labour Force Survey (LFS) supplementary capacity is used to conduct this biannual survey. A sample of approximately 44,000 respondents is used for this survey (five out of six rotation groups). The survey data are collected using Computer Assisted Interviewing (CAI). The first data collection procedure took place during November's LFS week in 1996.
This microdata file is prepared biannually and contains the variables from the survey, plus geographical variables from the LFS (province, census metropolitan area, urban/rural breakdown). No other variables from the LFS are added to the file.
Release date: 2014-12-12
3. Youth Smoking Survey Archived
Public use microdata: 82M0011X
Description:
The main objective of the 2002 Youth Smoking Survey (YSS) is to provide current information on the smoking behaviour of students in grades 5 to 9 (in Quebec primary school grades 5 and 6 and secondary school grades 1 to 3), and to measure changes that occurred since the last time the survey was conducted in 1994. Additionally, the 2002 survey collected basic data on alcohol and drug use by students in grades 7 to 9 (in Quebec secondary 1 to 3). Results of the Youth Smoking Survey will help with the evaluation of anti-smoking and anti-drug use programs, as well as with the development of new programs.
Release date: 2004-07-14
4. Adult Education and Training Survey, Documentation and Data Files Archived
Public use microdata: 81M0013X
Description:
The Adult Education and Training Survey (AETS) is Canada's most comprehensive source of data on individual participation in formal adult education and training. It is the only Canadian survey to collect detailed information about the skill development efforts of the entire adult Canadian population. The AETS provides information about the main subject of training activities, their provider, duration and the sources and types of support for training. Furthermore, the AETS allows for the examination of the socio-economic and demographic profiles of both training participants and non-participants. This survey also identifies barriers faced by individuals who wish to take some form of training but cannot. The AETS was administered three times during the 1990s, in 1992, 1994 and 1998, as a supplement to the Labour Force Survey (LFS).
The content of the AETS was revised to take into account recommendations coming from consultation exercises. As a result, more than half of the 2003 survey is made up of new questions and the target population has been modified.
The main objectives are:1) To measure the incidence and intensity of adults' participation in job-related formal training.2) To profile employer support to job-related formal training.3) To analyze the aspects of job-related training activities such as: training provider, expenses, financial support, motivations, outcomes and difficulties experienced while training.4) To identify the barriers preventing individuals from participating in the job-related formal training they want or need to take.5) To identify reasons explaining adults' lack of participation and of interest in job-related formal training.6) To relate adults' current participation patterns to their past involvement in and plans about future participation in job-related training.7) To measure the incidence and frequency of adults' participation in job-related informal training.8) To examine the interactions between participation in formal and informal job-related training.
The population covered by the AETS consists of Canadians 25 years of age and older. This is a change from the population previously targeted by the AETS, which consisted of Canadians aged 17 years of age and older. A primary consideration for this change was the practical difficulties in applying the definition of adult education to individuals in the 17 to 24 years of age group. By definition, adult education excludes students who are still involved in their first or initial stage of schooling. As previous AETS did not precisely identify students still in their initial stage of schooling, analyses using these data had to rely on an ad hoc definition of adult learners. According to this definition, individuals aged 17 to 24 who were not in one of the following situations were excluded from the analysis: full-time students subsidized by an employer and full-time students over 19 enrolled in elementary or secondary programs.
Release date: 2004-05-27
5. General Social Survey Cycle 13: Victimization (1999) - Public Use Microdata File Archived
Public use microdata: 12M0013X
Description:
Cycle 13 of the General Social Survey (GSS) is the third cycle (following cycles 3 and 8) that collected information in 1999 on the nature and extent of criminal victimisation in Canada. Focus content for cycle 13 addressed two areas of emerging interest: public perception toward alternatives to imprisonment; and spousal violence and senior abuse. Other subjects common to all three cycles include perceptions of crime, police and courts; crime prevention precautions; accident and crime screening sections; and accident and crime incident reports. The target population of the GSS is all individuals aged 15 and over living in a private household in one of the ten provinces.

Release date: 2000-11-02
6. National Population Health Survey: Health Institutions Public Use Microdata File Archived
Public use microdata: 82M0010X
Description:
The National Population Health Survey (NPHS) program is designed to collect information related to the health of the Canadian population. The first cycle of data collection began in 1994. The institutional component includes long-term residents (expected to stay longer than six months) in health care facilities with four or more beds in Canada with the principal exclusion of the Yukon and the Northwest Teritories. The document has been produced to facilitate the manipulation of the 1996-1997 microdata file containing survey results. The main variables include: demography, health status, chronic conditions, restriction of activity, socio-demographic, and others.
Release date: 2000-08-02
7. Canada's Alcohol and Other Drugs Survey - Documentation and Data Files Archived
Public use microdata: 89M0007X
Description:
Information in this microdata file refers to survey data collected in September - November, 1994 for persons 15 years of age and older in Canada's ten provinces. The survey's main data objectives were to measure the prevalence and patterns of alcohol and other drug use, to assess harm and other consequences of drug use and to evaluate trends in recent patterns of use. Canada's Alcohol and Other Drugs Survey (CADS) also updates and expands upon data collected in the first survey, the National Alcohol and Other Drugs Survey (NADS), conducted in 1989.
Release date: 2000-07-07
8. Survey on Smoking in Canada (1994) Archived
Public use microdata: 82M0008X
Description:
The survey, begun in February 1994, monitors the smoking patterns of Canadians over a 12 month period and to measure any changes in smoking resulting from the decrease in taxes in cigarettes which took place in February 1994 in some provinces. It is related to MDF 82M0006. Updates are included in the microdata file price. A guide for this microdata file is available.
Release date: 1995-06-08

Analysis (109)

Analysis (109) (50 to 60 of 109 results)

51. Coherence analysis: Improved quality of National Accounts Archived
Articles and reports: 11-522-X200800011014
Description:
In many countries, improved quality of economic statistics is one of the most important goals of the 21st century. First and foremost, the quality of National Accounts is in focus, regarding both annual and quarterly accounts. To achieve this goal, data quality regarding the largest enterprises is of vital importance. To assure that the quality of data for the largest enterprises is good, coherence analysis is an important tool. Coherence means that data from different sources fit together and give a consistent view of the development within these enterprises. Working with coherence analysis in an efficient way is normally a work-intensive task consisting mainly of collecting data from different sources and comparing them in a structured manner. Over the last two years, Statistics Sweden has made great progress in improving the routines for coherence analysis. An IT tool that collects data for the largest enterprises from a large number of sources and presents it in a structured and logical matter has been built, and a systematic approach to analyse data for National Accounts on a quarterly basis has been developed. The paper describes the work in both these areas and gives an overview of the IT tool and the agreed routines.
Release date: 2009-12-03
52. A nonparametric test for residual seasonality Archived
Articles and reports: 12-001-X200900110885
Description:
Peaks in the spectrum of a stationary process are indicative of the presence of stochastic periodic phenomena, such as a stochastic seasonal effect. This work proposes to measure and test for the presence of such spectral peaks via assessing their aggregate slope and convexity. Our method is developed nonparametrically, and thus may be useful during a preliminary analysis of a series. The technique is also useful for detecting the presence of residual seasonality in seasonally adjusted data. The diagnostic is investigated through simulation and an extensive case study using data from the U.S. Census Bureau and the Organization for Economic Co-operation and Development (OECD).
Release date: 2009-06-22
53. International surveys: Motives and methodologies Archived
Articles and reports: 12-001-X200800210754
Description:
The context of the discussion is the increasing incidence of international surveys, of which one is the International Tobacco Control (ITC) Policy Evaluation Project, which began in 2002. The ITC country surveys are longitudinal, and their aim is to evaluate the effects of policy measures being introduced in various countries under the WHO Framework Convention on Tobacco Control. The challenges of organization, data collection and analysis in international surveys are reviewed and illustrated. Analysis is an increasingly important part of the motivation for large scale cross-cultural surveys. The fundamental challenge for analysis is to discern the real response (or lack of response) to policy change, separating it from the effects of data collection mode, differential non-response, external events, time-in-sample, culture, and language. Two problems relevant to statistical analysis are discussed. The first problem is the question of when and how to analyze pooled data from several countries, in order to strengthen conclusions which might be generally valid. While in some cases this seems to be straightforward, there are differing opinions on the extent to which pooling is possible and reasonable. It is suggested that for formal comparisons, random effects models are of conceptual use. The second problem is to find models of measurement across cultures and data collection modes which will enable calibration of continuous, binary and ordinal responses, and produce comparisons from which extraneous effects have been removed. It is noted that hierarchical models provide a natural way of relaxing requirements of model invariance across groups.
Release date: 2008-12-23
54. The feasibility of establishing correction factors to adjust self-reported estimates of obesity Archived
Articles and reports: 82-003-X200800310680
Geography: Canada
Description:
This study examines the feasibility of developing correction factors to adjust self-reported measures of body mass index to more closely approximate measured values. Data are from the 2005 Canadian Community Health Survey, in which respondents were asked to report their height and weight, and were subsequently measured.
Release date: 2008-09-17
55. A Bayesian allocation of undecided voters Archived
Articles and reports: 12-001-X200800110606
Description:
Data from election polls in the US are typically presented in two-way categorical tables, and there are many polls before the actual election in November. For example, in the Buckeye State Poll in 1998 for governor there are three polls, January, April and October; the first category represents the candidates (e.g., Fisher, Taft and other) and the second category represents the current status of the voters (likely to vote and not likely to vote for governor of Ohio). There is a substantial number of undecided voters for one or both categories in all three polls, and we use a Bayesian method to allocate the undecided voters to the three candidates. This method permits modeling different patterns of missingness under ignorable and nonignorable assumptions, and a multinomial-Dirichlet model is used to estimate the cell probabilities which can help to predict the winner. We propose a time-dependent nonignorable nonresponse model for the three tables. Here, a nonignorable nonresponse model is centered on an ignorable nonresponse model to induce some flexibility and uncertainty about ignorabilty or nonignorability. As competitors we also consider two other models, an ignorable and a nonignorable nonresponse model. These latter two models assume a common stochastic process to borrow strength over time. Markov chain Monte Carlo methods are used to fit the models. We also construct a parameter that can potentially be used to predict the winner among the candidates in the November election.
Release date: 2008-06-26
56. Geovisualization of health and social capital data derived from Statistics Canada surveys Archived
Articles and reports: 11-522-X200600110447
Description:
The classification and identification of locations where persons report to be more or less healthy or have more or less social capital, within a specific area such as a health region, is tremendously helpful for understanding place and health associations. The objective of the proposed study is to classify and map areas within the Zone 6 Health Region (Figure 1) of Nova Scotia (Halifax Regional Municipality and Annapolis Valley regions) according to health status (Dimension 1) and social capital (Dimension 2). We abstracted responses to questions about self-reported health status, mental health, and social capital from the master files of the Canadian Community Health Survey (Cycles 1.1, 1.2 and 2.1), National Population Health Survey (Cycle 5), and the General Social Survey (Cycles 13, 14, 17, and 18). Responses were geocoded using the Statistics Canada Postal Code Conversion File (PCCF+) and imported into a geographical information system (GIS) so that the postal code associated with the response will be assigned to a latitude and longitude within the Nova Scotia Zone 6 health region. Kernel density estimators and additional spatial interpolators were used to develop statistically-smoothed surfaces of the distribution of respondent values for each question. The smoothing process eliminates the possibility of revealing individual respondent location and confidential Statistics Canada sampling frame information. Using responses from similar questions across multiple surveys improves the likelihood of detecting heterogeneity among the responses within the health region area, as well as the accuracy of the smoothed map classification.
Release date: 2008-03-17
57. Canadian Health Measures Survey: Rationale, background and overview Archived
Articles and reports: 82-003-S200700010361
Description:
This article summarizes the background, history and rationale for the Canadian Health Measures Survey, and provides an overview of the objectives, methods and analysis plans.
Release date: 2007-12-05
58. Interplay between sample survey theory and practice: an appraisal Archived
Articles and reports: 11-522-X20050019443
Description:
A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so.
Release date: 2007-03-02
59. Progress in collecting business data Archived
Articles and reports: 11-522-X20050019457
Description:
The administrative data project has helped reduce the response burden of small and medium-sized business. We are continuing this work and expanding our objectives to maximize the use of administrative data. In addition, by exploring the single window reporting method, we plan to decrease the response burden of complex enterprises while ensuring consistent data collection. We will have to overcome some major challenges, some of which may be methodological in nature. Let's see what the future holds!
Release date: 2007-03-02
60. Imputing distributions in administrative tax data Archived
Articles and reports: 11-522-X20050019458
Description:
The proposed paper presents an alternative methodology that gives the data the possibility of defining homogenous groups determined by a bottom up classification of the values of observed details. The problem is then to assign a non respondent business to one of these groups. Several assignment procedures, based on explanatory variables available in the tax returns, are compared, using gross or distributed data: parametric and non parametric classification analyses, log linear models, etc.
Release date: 2007-03-02

Reference (23)

Reference (23) (0 to 10 of 23 results)

1. Methods for Constructing Life Tables for Canada, Provinces and Territories
Surveys and statistical programs – Documentation: 84-538-X
Geography: Canada
Description: This electronic publication presents the methodology underlying the production of the life tables for Canada, provinces and territories.
Release date: 2023-08-28
2. Agriculture–Population Linkage: Data quality report
Surveys and statistical programs – Documentation: 32-26-0006
Description: This report provides data quality information pertaining to the Agriculture–Population Linkage, such as sources of error, matching process, response rates, imputation rates, sampling, weighting, disclosure control methods and data quality indicators.
Release date: 2023-08-25
3. Classification of Instructional Programs (CIP)
Classification: 12-590-X
Description:
The Classification of Instructional Programs (CIP) is used for classifying instructional programs according to field of study. CIP was originally created by the National Center for Education Statistics (NCES) in the United States. It is a hierarchical classification. The classification provides a detailed description of each instructional program class together with illustrative examples of the types of instructional programs found in that class. Illustrative examples are also provided of closely related programs that are classified elsewhere. In addition, the classification includes an introduction to CIP and an alternative structure for the aggregation of field of study data. CIP has a ten-year revision cycle.

Release date: 2022-11-08
4. Painting a Portrait of Canada: The 2021 Census of Population
Notices and consultations: 98-26-0001
Description:
This white paper presents Statistics Canada’s planned approach to the 2021 Census of Population and provides a clear explanation of the processes behind the census program, touching on historical, legal, operational and content aspects. Statistics Canada recognizes that it is important to not only successfully conduct the census, but also to be transparent and informative about the way in which those efforts are accomplished. Painting a Portrait of Canada: The 2021 Census of Population gives readers an exclusive, detailed look at how census data is collected, analyzed and given back to Canadians, in the form of high-quality statistical information, used to make evidence-based decisions in Canadian society.
Release date: 2020-07-20
5. Analytical Studies Branch Annual Consolidated Plan for Research, Data Development and Modelling, 2019/2020 Archived
Surveys and statistical programs – Documentation: 11-633-X2019001
Description:
The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.
Release date: 2019-05-29
6. The Research Data Centres Information and Technical Bulletin
Notices and consultations: 12-002-X
Description:
The Research Data Centres (RDCs) Information and Technical Bulletin (ITB) is a forum by which Statistics Canada analysts and the research community can inform each other on survey data uses and methodological techniques. Articles in the ITB focus on data analysis and modelling, data management, and best or ineffective statistical, computational, and scientific practices. Further, ITB topics will include essays on data content, implications of questionnaire wording, comparisons of datasets, reviews on methodologies and their application, data peculiarities, problematic data and solutions, and explanations of innovative tools using RDC surveys and relevant software. All of these essays may provide advice and detailed examples outlining commands, habits, tricks and strategies used to make problem-solving easier for the RDC user.
The main aims of the ITB are:
- the advancement and dissemination of knowledge surrounding Statistics Canada's data; - the exchange of ideas among the RDC-user community;- the support of new users; - the co-operation with subject matter experts and divisions within Statistics Canada.
The ITB is interested in quality articles that are worth publicizing throughout the research community, and that will add value to the quality of research produced at Statistics Canada's RDCs.
Release date: 2015-03-25
7. Statistics Canada Data Sources on Official-Language Minorities
Surveys and statistical programs – Documentation: 91-549-X
Geography: Canada
Description:
The main objective of this document is to raise awareness among Statistics Canada data users of the different sources of language data available at Statistics Canada. Along with the census, surveys with an important sample of official-language minority groups and/or with information on languages are listed by themes. Users will find a description of the survey and its target population, sample sizes (total and according to available linguistic characteristics), available language variables based on questions asked, date of the first release, year for which the data is available and a direct internet link to additional information on the various surveys.
Release date: 2013-05-29
8. Teacher's Guide to Data Discovery Archived
Surveys and statistical programs – Documentation: 12-593-X
Description: A guide for elementary and secondary teachers on the basic skills involved in statistical investigation: choosing the dataset, understanding data concepts and analysing the data with or without computer software.
Release date: 2010-09-24
9. Aboriginal Peoples Technical Report, 2006 Census, Second Edition Archived
Surveys and statistical programs – Documentation: 92-569-X2006002
Description:
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.
The second edition includes the same content as the first, and new text has been added on data processing (Chapter 3). As well, modified content about data quality and 'on reserve' communities has been incorporated into the original sections.
Release date: 2010-02-09
10. Aboriginal Peoples Technical Report, 2006 Census Archived
Surveys and statistical programs – Documentation: 92-569-X
Description:
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: 2010-02-09

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