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All (2,481) (0 to 10 of 2,481 results)

  • 1. Statistical Methods Reference Documents
    Surveys and statistical programs – Documentation: 19-20-0001
    Description: Documents in this series provide insight into the statistical methods used by Statistics Canada to produce official statistics. They include introductory material, in-depth descriptions of techniques and methods, best practices, and guidelines. All documents have undergone review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted methodological standards and practices.
    Release date: 2026-06-16
  • 2. Advance indicators: Production, use and interpretation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026003
    Description: This article provides nontechnical answers to questions related to the production, use and interpretation of advance indicators for Statistics Canada’s Monthly Survey of Manufacturing, Monthly Wholesale Trade Survey and Monthly Retail Trade Survey.
    Release date: 2026-06-16
  • 3. Trend-cycle estimation: Concepts, interpretation, and calculation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026002
    Description: This reference document provides answers on selected topics related to the use, interpretation, and calculation of trend-cycle estimates for seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment and trend-cycle estimation found in Statistics Canada publications and reference manuals.
    Release date: 2026-06-08
  • 4. Quantitative impact analysis: A practical overview
    Articles and reports: 36-28-0001202600500003
    Description: This spotlight article outlines practical methods for assessing the economic impacts of public programs delivered by federal agencies and Crown corporations. It summarizes key steps in conducting quantitative impact analysis, including data linkage, cohort construction and implementation of quasi causal estimators.
    Release date: 2026-05-27
  • 5. Analytical Studies: Methods and References
    Journals and periodicals: 11-633-X
    Description: Papers in this series provide background discussions of the methods used to develop data for economic, health, and social analytical studies at Statistics Canada. They are intended to provide readers with information on the statistical methods, standards and definitions used to develop databases for research purposes. All papers in this series have undergone peer and institutional review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted standards of good professional practice.
    Release date: 2026-05-27
  • 6. Income Research Paper Series
    Journals and periodicals: 75F0002M
    Description: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.
    Release date: 2026-05-20
  • 7. Seasonal adjustment: Concepts and interpretation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026001
    Description: This reference document provides nontechnical answers on selected topics related to the use and interpretation of seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment found in Statistics Canada publications and reference manuals.
    Release date: 2026-05-11
  • 8. Latest Developments in the Canadian Economic Accounts
    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: 2026-05-04
  • 9. A Framework for Projecting Housing Use Associated with Immigrants and Non-Permanent Residents
    Surveys and statistical programs – Documentation: 11-633-X2026002
    Description: Recent changes in Canada’s immigration levels have heightened interest in understanding how immigration affects housing demand. This article develops a methodological framework for projecting housing use associated with permanent residents (PRs) and non-permanent residents (NPRs) under alternative immigration scenarios. The framework applies observed per capita housing use rates from the Census of Population to estimate incremental housing use by tenure over time.
    Release date: 2026-04-24
  • 10. When and How to Use Area-Level Measures for Health Analysis: A Review and Recommendation Report
    Surveys and statistical programs – Documentation: 11-633-X2026001
    Description: This report defines key concepts related to area-level analysis and introduces area-level measures developed and utilized at Statistics Canada for health analysis. It also provides a decision-making framework and practical recommendations to help researchers select appropriate methods. The goal is to guide readers on when area-level analysis is appropriate and what type of area-level measure is suitable to achieve research objectives.
    Release date: 2026-03-05
Data (10)

Data (10) ((10 results))

  • 1. Social Policy Simulation Database and Model (SPSD/M)
    Public use microdata: 89F0002X
    Description: The SPSD/M is a static microsimulation model designed to analyse financial interactions between governments and individuals in Canada. It can compute taxes paid to and cash transfers received from government. It is comprised of a database, a series of tax/transfer algorithms and models, analytical software and user documentation.
    Release date: 2026-02-12
  • 2. National Address Register
    Profile of a community or region: 46-26-0002
    Description: The National Address Register (NAR) is a list of commercial and residential addresses in Canada that are extracted from Statistics Canada's Building Register and deemed non-confidential.
    Release date: 2025-12-19
  • 3. PASSAGES microsimulation model
    Table: 89-26-0006
    Description: PASSAGES is an open-source dynamic microsimulation model aimed at supporting policy analysis and research relating to Canadian retirement income system outcomes at the individual and family level. The publicly available version includes a synthetic starting database, a model, and documentation. A confidential starting database is also available.
    Release date: 2025-03-12
  • 4. 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: 2024-08-21
  • 5. Income divergence index (D-index) by census tract
    Table: 11-10-0074-01
    Geography: Census tract
    Frequency: Occasional
    Description:

    The divergence index (D-index) describes the degree that families with different income levels are mixing together in neighbourhoods. It compares neighbourhood (census tract, CT) discrete income distributions to a base distribution, which is the income quintiles of the neighbourhood’s census metropolitan area (CMA).

    Release date: 2020-06-22
  • 6. Housing Data Viewer Archived
    Data Visualization: 71-607-X2019010
    Description: The Housing Data Viewer is a visualization tool that allows users to explore Statistics Canada data on a map. Users can use the tool to navigate, compare and export data.
    Release date: 2019-10-30
  • 7. Findings of the Canadian Vehicle Fuel Pilot Survey Archived
    Table: 53-500-X
    Description:

    This report presents the results of a pilot survey conducted by Statistics Canada to measure the fuel consumption of on-road motor vehicles registered in Canada. This study was carried out in connection with the Canadian Vehicle Survey (CVS) which collects information on road activity such as distance traveled, number of passengers and trip purpose.

    Release date: 2004-10-21
  • 8. National Tourism Indicators, Historical Estimates Archived
    Table: 13-220-X
    Description: In the 1997 edition, new and revised benchmarks were introduced for 1992 and 1988. The indicators are used to monitor supply, demand and employment for tourism in Canada on a timely basis. The annual tables are derived using the National Income and Expenditure Accounts (NIEA) and various industry and travel surveys. Tables providing actual data and percentage changes, for seasonally adjusted current and constant price estimates are included. In addition, an analytical section provides graphs, and time series of first differences, percentage changes, and seasonal factors for selected indicators. Data are published from 1987 and the publication will be available on the day of release. New data are included in the demand tables for non-tourism commodities produced by non-tourism industries and in the employment tables covering direct tourism employment generated by non-tourism industries. This product was commissioned by the Canadian Tourism Commission to provide annual updates for the Tourism Satellite Account.
    Release date: 2003-01-08
  • 9. Historical Statistics of Canada Archived
    Table: 11-516-X
    Description:

    The second edition of Historical statistics of Canada was jointly produced by the Social Science Federation of Canada and Statistics Canada in 1983. This volume contains about 1,088 statistical tables on the social, economic and institutional conditions of Canada from the start of Confederation in 1867 to the mid-1970s. The tables are arranged in sections with an introduction explaining the content of each section, the principal sources of data for each table, and general explanatory notes regarding the statistics. In most cases, there is sufficient description of the individual series to enable the reader to use them without consulting the numerous basic sources referenced in the publication.

    The electronic version of this historical publication is accessible on the Internet site of Statistics Canada as a free downloadable document: text as HTML pages and all tables as individual spreadsheets in a comma delimited format (CSV) (which allows online viewing or downloading).

    Release date: 1999-07-29
  • 10. National Population Health Survey Overview Archived
    Table: 82-567-X
    Description:

    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 (2,037)

Analysis (2,037) (30 to 40 of 2,037 results)

  • 31. Correcting Selection Bias in a Non-probability Two-phase Payment Survey Archived
    Articles and reports: 11-522-X202500100007
    Description: This paper employs the Pseudo Maximum Likelihood (PML) estimator to the non-probability two-phase sampling when relevant auxiliary information is available from both probability survey sample and non-probability survey sample. To accommodate various weight adjustments and estimates variance beyond totals and means such as medians and quantiles, a simplified pseudo-population bootstrap procedure is proposed to approximately estimate the second-phase variance. Specifically, the simplification ignores the second phase sampling variability (i.e., treated as fixed, while in fact it is random), if the first-phase sampling fraction of the non-probability sample is negligible. Using the Bank of Canada 2020 Cash Alternative Survey Wave 2, the performance of the proposed method is compared to alternative methods, which either do not explicitly model the selection probability (i.e., raking) or ignore the valuable information from Phase 1 (i.e., Phase-2-Only). The results show that the PML-based approach performs better than raking and Phase-2-Only estimates in terms of reducing the selection bias for both phases' payment-related variables, especially for the low-response youth group. Estimated variances of the PML-based estimates are stable.

    Release date: 2025-09-08
  • 32. Recruitment and Collection of Web Panels at Statistics Canada Archived
    Articles and reports: 11-522-X202500100008
    Description: In 2020, Statistics Canada started to use probabilistic web panels as an alternate method of collecting official statistics. In a web panel, respondents to another survey are asked for contact information to participate in future short surveys. This paper will highlight Statistics Canada's experience with panels after 4 years, including what has been learned about the recruitment of panel participants and how to subsequently collect data using panel surveys. The ways in which recruitment questions are presented can result in very different rates of participation. Moreover, the wealth of auxiliary information available on the recruitment survey can be used to actively manage panel collection operations, by predicting the probability of response and using this information to target follow-up efforts.
    Release date: 2025-09-08
  • 33. A Bias Evaluation for Probabilistic Web Panels at Statistics Canada Archived
    Articles and reports: 11-522-X202500100009
    Description: Three series of web panels were implemented at Statistics Canada from 2020 to 2024. Participants for these web panel series were recruited from respondents of large probabilistic social surveys (recruitment surveys), and subsequently were invited to complete a series of short online surveys. Estimates of recruitment survey variables were calculated using both recruitment survey weights and web panel weights, and these were compared; differences signal the possibility of residual bias that was not corrected by the web panel weighting process. This investigation found more significant differences than would be expected if the web panel estimator fully corrected for the bias resulting from the web panel response process. Questions related to certain topics such as politics and voting, sense of belonging, and media consumption were found to have the most significant differences between web panel estimates and recruitment survey estimates.
    Release date: 2025-09-08
  • 34. Life in the FastText Lane: Harnessing Linear Programming Constrained Machine Learning for Classifications Revision Archived
    Articles and reports: 11-522-X202500100010
    Description: Statistics Canada's Labour Force Survey (LFS) plays an essential role in the estimation of labour market conditions in Canada. Periodically, LFS revises its data to the most recent industry and occupational classification versions. Differences in versions can be extensive, including high-level and unit-group structural changes, creations, deletions, split-offs and combination of classification units (classes). Historically, to reconcile split-off classes - where one class splits into multiple classes - a sample of LFS split-off records would be manually recoded to the new classification version. Based on the split-off proportion observed in the recoded sample, a random allocation method would be applied on all data to reflect the changing Canadian labour market over time. This article proposes using machine learning (fastText), constrained to split-off proportions using linear programming, to revise industry and occupation classifications in LFS. The hybrid framework benefits from a text-based revision mechanism while adhering to traditional proportions driven estimates, thus ensuring a minimal impact on the comparability of published labour market indicators.
    Release date: 2025-09-08
  • 35. Data-driven Imputation Strategies and their Associated Quality Indicators in Economic Surveys Archived
    Articles and reports: 11-522-X202500100011
    Description: The use of modern "data"-driven imputation methods to treat non-response in the context of surveys processed in the Integrated Business Statistics Program at Statistics Canada has previously been explored. It was observed that these methods can lead to high quality imputation and further have the potential to result in broad efficiencies when setting up a particular survey's edit and imputation strategy. However, estimation of the associated total variance, more specifically the component due to imputation, remains a challenge. In this article, two methods for estimation of total variance are proposed and show preliminary results that have motivated us to pursue further research in this area.
    Release date: 2025-09-08
  • 36. The challenges of conducting a survey of youth in Nunavik UVIKKAVUT QANUIPPAT? Archived
    Articles and reports: 11-522-X202500100012
    Description: In 2022, the Institut de la statistique du Québec conducted a survey of high school students in Nunavik, a unique, remote region of Quebec. The survey aimed to develop a portrait of the state of the students' physical and mental health, their lifestyle habits and their environment. This article describes the challenges encountered during the survey and the solutions put in place to overcome them.
    Release date: 2025-09-08
  • 37. Advancing Equitable Data Collection: Insights from Statistics Canada's Statistical Integration Methods Division Disaggregated Data Action Plan Research Project Archived
    Articles and reports: 11-522-X202500100013
    Description: As part of answering the call to action for the United Nations' (UN) 17 Sustainable Development Goals, as well as addressing social, economic, and equity challenges within Canada, Statistics Canada's five-year development phase for the Disaggregated Data Action Plan (DDAP) was funded in 2021 to support data driven decision around these challenges. In turn, the document "Guiding Principles: Leveraging the 2021 Census of Populations Data for DDAP Groups of Interest" were created. The guiding principles document explains the organizational framework of the DDAP in the Agency, describes existing data sources, addresses ethical and privacy concerns, and centralizes sampling methods tailored for DDAP initiatives while accounting for characteristics which can complicate sampling and data collection procedures.
    Release date: 2025-09-08
  • 38. On the Interplay of Legal Requirements, Quality Aspects and Ethical Risks when using Machine Learning in German Official Statistics Archived
    Articles and reports: 11-522-X202500100014
    Description: Artificial intelligence (AI) with its subfield machine learning (ML) has found its way into administration in general and also into official statistics in Germany in particular. This paper highlights the ethical issues that may arise when using AI/ML in official statistics and examines whether a separate ethical framework is needed to deal with these issues appropriately, as is proposed by institutions of other countries and intergovernmental institutions related to official statistics. The results of the study are presented to show that the implementation of the requirements of the existing and mostly non-AI/ML-specific frames of reference such as law and quality is already sufficient to adequately address the ethical issues based on risk scenarios.
    Release date: 2025-09-08
  • 39. Statistical Disclosure Control Analysis for Small Area Estimation Archived
    Articles and reports: 11-522-X202500100015
    Description: Currently, Statistics Canada has no official guidance on confidentiality rules for releasing small area estimate. In recent years, there has been increasing demand from Research Data Centre (RDC) researchers for comprehensive confidentiality guidelines such that they can publish small area estimates in their research. This confidentiality analysis applies to area-level small area estimation.
    Release date: 2025-09-08
  • 40. Synthetic Data Disclosure Risk Assessment: A Literature Review Archived
    Articles and reports: 11-522-X202500100016
    Description: The adoption of synthetic data generation as a confidentiality measure is increasing in statistical agencies worldwide, including at Statistics Canada. This approach provides an alternative to the traditional dissemination of anonymized public microdata files, offering both privacy protection and data utility. However, the creation of synthetic data presents challenges in assessing and mitigating disclosure risks. This paper reviews the different types of disclosure risks, that being attribute, membership and identity disclosure, and presents some of the associated methods for measuring risk. The paper presents prominent risk assessment metrics and discusses practical methods for disclosure control in data synthesis. Methods for assessing disclosure risks usually produce a metric that can be used to gauge the risk, but there is little consensus on threshold values for these metrics. It is also important to focus on importance of balancing utility and confidentiality, which needs further discussion in context of these methods. The paper concludes by offering insights and recommendations about managing disclosure risk while creating synthetic data as well as providing some ideas on future directions for research and practical implications for managing disclosure risks in synthetic data.
    Release date: 2025-09-08
Reference (382)

Reference (382) (80 to 90 of 382 results)

  • 81. Challenges and Lessons Learned with the Implementation of Car Chips in the Fuel Consumption Survey Archived
    Surveys and statistical programs – Documentation: 11-522-X201300014258
    Description:

    The National Fuel Consumption Survey (FCS) was created in 2013 and is a quarterly survey that is designed to analyze distance driven and fuel consumption for passenger cars and other vehicles weighing less than 4,500 kilograms. The sampling frame consists of vehicles extracted from the vehicle registration files, which are maintained by provincial ministries. For collection, FCS uses car chips for a part of the sampled units to collect information about the trips and the fuel consumed. There are numerous advantages to using this new technology, for example, reduction in response burden, collection costs and effects on data quality. For the quarters in 2013, the sampled units were surveyed 95% via paper questionnaires and 5% with car chips, and in Q1 2014, 40% of sampled units were surveyed with car chips. This study outlines the methodology of the survey process, examines the advantages and challenges in processing and imputation for the two collection modes, presents some initial results and concludes with a summary of the lessons learned.

    Release date: 2014-10-31
  • 82. The Potential Use of Remote Sensing to Produce Field Crop Statistics at Statistics Canada Archived
    Surveys and statistical programs – Documentation: 11-522-X201300014259
    Description:

    In an effort to reduce response burden on farm operators, Statistics Canada is studying alternative approaches to telephone surveys for producing field crop estimates. One option is to publish harvested area and yield estimates in September as is currently done, but to calculate them using models based on satellite and weather data, and data from the July telephone survey. However before adopting such an approach, a method must be found which produces estimates with a sufficient level of accuracy. Research is taking place to investigate different possibilities. Initial research results and issues to consider are discussed in this paper.

    Release date: 2014-10-31
  • 83. Integration of the Electronic Questionnaire: Impact on the Collection Process and Results of the Survey of Employment, Payrolls and Hours Archived
    Surveys and statistical programs – Documentation: 11-522-X201300014260
    Description: The Survey of Employment, Payrolls and Hours (SEPH) produces monthly estimates and determines the month-to-month changes for variables such as employment, earnings and hours at detailed industrial levels for Canada, the provinces and territories. In order to improve the efficiency of collection activities for this survey, an electronic questionnaire (EQ) was introduced in the fall of 2012. Given the timeframe allowed for this transition as well as the production calendar of the survey, a conversion strategy was developed for the integration of this new mode. The goal of the strategy was to ensure a good adaptation of the collection environment and also to allow the implementation of a plan of analysis that would evaluate the impact of this change on the results of the survey. This paper will give an overview of the conversion strategy, the different adjustments that were made during the transition period and the results of various evaluations that were conducted. For example, the impact of the integration of the EQ on the collection process, the response rate and the follow-up rate will be presented. In addition, the effect that this new collection mode has on the survey estimates will also be discussed. More specifically, the results of a randomized experiment that was conducted in order to determine the presence of a mode effect will be presented.
    Release date: 2014-10-31
  • 84. Overcoverage in the 2011 Canadian Census Archived
    Surveys and statistical programs – Documentation: 11-522-X201300014269
    Description:

    The Census Overcoverage Study (COS) is a critical post-census coverage measurement study. Its main objective is to produce estimates of the number of people erroneously enumerated, by province and territory, study the characteristics of individuals counted multiple times and identify possible reasons for the errors. The COS is based on the sampling and clerical review of groups of connected records that are built by linking the census response database to an administrative frame, and to itself. In this paper we describe the new 2011 COS methodology. This methodology has incorporated numerous improvements including a greater use of probabilistic record-linkage, the estimation of linking parameters with an Expectation-Maximization (E-M) algorithm, and the efficient use of household information to detect more overcoverage cases.

    Release date: 2014-10-31
  • 85. Testing Collection Strategies for Online Self-Reporting Surveys Archived
    Surveys and statistical programs – Documentation: 11-522-X201300014278
    Description:

    In January and February 2014, Statistics Canada conducted a test aiming at measuring the effectiveness of different collection strategies using an online self-reporting survey. Sampled units were contacted using mailed introductory letters and asked to complete the online survey without any interviewer contact. The objectives of this test were to measure the take-up rates for completing an online survey, and to profile the respondents/non-respondents. Different samples and letters were tested to determine the relative effectiveness of the different approaches. The results of this project will be used to inform various social surveys that are preparing to include an internet response option in their surveys. The paper will present the general methodology of the test as well as results observed from collection and the analysis of profiles.

    Release date: 2014-10-31
  • 86. The 2011 National Household Survey public use microdata file methodology: How to balance the requirement for more information and the requirement for low risk of disclosure in the microdata Archived
    Surveys and statistical programs – Documentation: 11-522-X201300014285
    Description:

    The 2011 National Household Survey (NHS) is a voluntary survey that replaced the traditional mandatory long-form questionnaire of the Canadian census of population. The NHS sampled about 30% of Canadian households and achieved a design-weighted response rate of 77%. In comparison, the last census long form was sent to 20% of households and achieved a response rate of 94%. Based on the long-form data, Statistics Canada traditionally produces two public use microdata files (PUMFs): the individual PUMF and the hierarchical PUMF. Both give information on individuals, but the hierarchical PUMF provides extra information on the household and family relationships between the individuals. To produce two PUMFs, based on the NHS data, that cover the whole country evenly and that do not overlap, we applied a special sub-sampling strategy. Difficulties in the confidentiality analyses have increased because of the numerous new variables, the more detailed geographic information and the voluntary nature of the NHS. This paper describes the 2011 PUMF methodology and how it balances the requirements for more information and for low risk of disclosure.

    Release date: 2014-10-31
  • 87. Projections of Aboriginal Families and Households in Canada Archived
    Surveys and statistical programs – Documentation: 11-522-X201300014290
    Description:

    This paper describes a new module that will project families and households by Aboriginal status using the Demosim microsimulation model. The methodology being considered would assign a household/family headship status annually to each individual and would use the headship rate method to calculate the number of annual families and households by various characteristics and geographies associated with Aboriginal populations.

    Release date: 2014-10-31
  • 88. Revisions to trade data for crude oil and natural gas Archived
    Surveys and statistical programs – Documentation: 13-605-X201400214100
    Description:

    Canadian international merchandise trade data are released monthly and may be revised in subsequent releases as new information becomes available. These data are released approximately 35 days following the close of the reference period and represent one of the timeliest economic indicators produced by Statistics Canada. Given their timeliness, some of the data are not received in time and need to be estimated or modelled. This is the case for imports and exports of crude petroleum and natural gas. More specifically, at the time of release, energy trade data are based on an incomplete set of information and are revised as Statistics Canada and National Energy Board information becomes available in the subsequent months. Due to the increasing importance of energy imports and exports and the timeliness of the data, the revisions to energy prices and volumes are having an increasingly significant impact on the monthly revision to Canada’s trade balance. This note explains how the estimates in the initial release are made when data sources are not yet available, and how the original data are adjusted in subsequent releases.

    Release date: 2014-10-03
  • 89. Aboriginal Peoples Technical Report, National Household Survey, 2011 Archived
    Surveys and statistical programs – Documentation: 99-011-X2011002
    Description:

    The 2011 NHS Aboriginal Peoples Technical Report deals with: (1) Aboriginal ancestry, (2) Aboriginal identity, (3) Registered Indian status and (4) First Nation/Indian band membership.

    The report contains explanations of concepts, data quality, historical comparability and comparability to other sources, as well as information on data collection, processing and dissemination.

    Release date: 2014-05-28
  • 90. Aboriginal Peoples Survey, 2012: Concepts and Methods Guide Archived
    Surveys and statistical programs – Documentation: 89-653-X2013002
    Description:

    The Aboriginal Peoples Survey (APS) is a national survey on the social and economic conditions of First Nations people living off reserve, Métis and Inuit aged 6 years and over. The 2012 APS represents the fourth cycle of the survey and focuses on issues of education, employment and health.

    The 2012 APS Concepts and Methods Guide is designed to assist data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability. Chapter 1 introduces the survey's background and objectives; Chapter 2 gives important definitions and describes the survey's themes; Chapters 3 through 5 explain the APS design and outline the data collection and processing steps; Chapter 6 describes the weighting method used; Chapters 7 and 8 review data quality and address comparability of the 2012 APS data with data from other sources; Chapter 9 lists survey products including analytical articles, data tables and reference material; Appendices provide additional definitions and links to other relevant documentation.

    Release date: 2014-02-20

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