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All (474) (0 to 10 of 474 results)
- Journals and periodicals: 11-632-XDescription: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.Release date: 2024-09-19
- Journals and periodicals: 82-003-XGeography: CanadaDescription:
Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.
Health Reports had an impact factor of 5.0 for 2022 and a five-year impact factor of 5.6. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.Release date: 2024-09-18 - Public use microdata: 89F0002XDescription: 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: 2024-08-26
- Journals and periodicals: 11-631-XDescription: Statistics Canada regularly prepares presentations with statistical findings about the country’s economy, society and environment. These presentations may be intended for conferences, meetings with stakeholders, or other events held throughout the year to provide Statistics Canada with an opportunity to promote the role of official statistics and to better understand data users’ needs. This series provides online access to these presentations as well as new presentations created to help communicate research findings on a wide range of subjects to a broad audience.Release date: 2024-07-24
- Data Visualization: 71-607-X2020006Description: This interactive tool allows for custom manipulation and visualization of wealth data sourced from the Distributions of Household Economic Accounts. By clicking within the tool, you will be able to filter, highlight and select various wealth and wealth indicator items by distribution category.
This product is released on a quarterly basis.
Release date: 2024-07-17 - Articles and reports: 36-28-0001202400400004Description: This article provides an integrated summary of recent changes in output, consumer prices, employment, and household finances. It highlights changes in the economic data during the second half of 2023 and into the winter months. The article also examines how economic conditions have changed as borrowing costs have risen.Release date: 2024-04-24
- Public use microdata: 98M0001XDescription: Census Public Use Microdata Files (PUMFs) provide access to non-aggregated data covering a sample of the Canadian population. It is a comprehensive social, demographic and economic database about Canada, its people, and contains a wealth of characteristics on the population. These files enable the study of individuals, families and households. Geographic identifiers have been restricted to ensure respondents’ anonymity. This comprehensive file is an excellent tool for policy analysts, pollsters, social researchers and anyone interested in modeling and performing statistical regression analysis using Census microdata. These products contain the data file, user documentation and license agreements. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.Release date: 2024-03-20
- Articles and reports: 13-604-M2024001Description: This documentation outlines the methodology used to develop the Distributions of household economic accounts published in January 2024 for the reference years 2010 to 2023. It describes the framework and the steps implemented to produce distributional information aligned with the National Balance Sheet Accounts and other national accounts concepts. It also includes a report on the quality of the estimated distributions.Release date: 2024-01-22
- Articles and reports: 36-28-0001202301000006Description: This article provides an integrated summary of recent changes in output, consumer prices, employment and household finances. It highlights changes in the economic data during the first half of 2023 and into the summer months. The article also examines how economic conditions have changed as borrowing costs have risen.Release date: 2023-10-25
- Surveys and statistical programs – Documentation: 62F0026M2023001Description: 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.Release date: 2023-10-18
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Data (255)
Data (255) (0 to 10 of 255 results)
- Public use microdata: 89F0002XDescription: 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: 2024-08-26
- Data Visualization: 71-607-X2020006Description: This interactive tool allows for custom manipulation and visualization of wealth data sourced from the Distributions of Household Economic Accounts. By clicking within the tool, you will be able to filter, highlight and select various wealth and wealth indicator items by distribution category.
This product is released on a quarterly basis.
Release date: 2024-07-17 - Public use microdata: 98M0001XDescription: Census Public Use Microdata Files (PUMFs) provide access to non-aggregated data covering a sample of the Canadian population. It is a comprehensive social, demographic and economic database about Canada, its people, and contains a wealth of characteristics on the population. These files enable the study of individuals, families and households. Geographic identifiers have been restricted to ensure respondents’ anonymity. This comprehensive file is an excellent tool for policy analysts, pollsters, social researchers and anyone interested in modeling and performing statistical regression analysis using Census microdata. These products contain the data file, user documentation and license agreements. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.Release date: 2024-03-20
- Public use microdata: 95M0020XDescription: This file provides data on households and housing. The 2001 Census Public Use Microdata Files (PUMFs) contain samples of anonymous responses to the 2001 Census questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses. Three files are available: the Individuals File, the Families File, and the Households and Housing File. Microdata files are unique among census products in that they give users access to non-aggregated data. The user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other census products can be created or relationships between variables can be analysed using different statistical tests. These files provide quick access to a comprehensive social and economic database about Canada and its people. Most of the census subject matter is included in the microdata files. For the anonymity of respondents, geographic identifiers have been restricted to provinces, territories and large metropolitan areas.
Note: This product will be released in 2 phases, Phase 1 (release May 17, 2006) and Phase 2 (released June 30, 2006). Phase 1 will contain the following: (1) the data file (2) portions of the user documentation (3) the SAS and SPSS code.
Phase 2 will contain the COMPLETE product, including the following additional information: (1) conversion factors (2) tools used to measure the quality (3) a users' guide which provides step-by-step instructions on how to use the Quality application.
Clients who have purchased Phase 1 of this product will automatically receive Phase 2, the complete product.
Release date: 2023-09-12 - Public use microdata: 98M0002XDescription: This Hierarchical File, 2016 Census Public Use Microdata File (PUMF) product provides access to non-aggregated data covering a sample of 1% of the Canadian households. It is a comprehensive social, demographic and economic database about Canada and its people, and contains a wealth of characteristics on the population. The file enables the study of individuals in relation to their census families, economic families and households. Geographic identifiers have been restricted to the provinces, the three territories grouped into a region called Northern Canada and selected metropolitan areas (Toronto, Montréal, Vancouver, Edmonton and Calgary) to ensure respondents’ anonymity. This comprehensive file is excellent tool for policy analysts, pollsters, social researchers and anyone interested in modeling and performing statistical regression analysis using 2016 Census microdata.
This product contains the data file (in ASCII format); user documentation and supporting information; all licence agreements; and SAS, SPSS and Stata program source codes to enable users to read the set of records. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.
Release date: 2023-09-12 - Public use microdata: 99M0001XDescription: The Individuals File, 2011 National Household Survey (Public Use Microdata Files) provides data on the characteristics of the Canadian population. The file contains a 2.7% sample of anonymous responses to the 2011 National Household Survey (NHS) questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses and geographic identifiers have been restricted to provinces/territories and metropolitan areas. With 133 variables, this comprehensive tool is excellent for policy analysts, pollsters, social researchers and anyone interested in modelling and performing statistical regression analysis using National Household Survey data.
Microdata files uniquely provide users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other NHS products can be created or relationships between variables can be analyzed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.
This product, offered on DVD-ROM, contains the data file (in ASCII format); user documentation and supporting information; all licence agreements; and SAS, SPSS and Stata program source codes to enable users to read the set of records. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.
Release date: 2023-09-12 - Data Visualization: 98-505-X2021004Description: This interactive chart is comprised of two visualizations which show statistics of housing outcomes for selected population groups. The chart displays one of four housing indicators, adequacy, affordability, suitability and core housing need. The data table describes the population group's tenure status of household. Housing outcomes can be produced by making selections from the age, gender, characteristics, household type and geography drop-down menus.Release date: 2023-05-10
- Table: 95F0250XDescription:
These are a series of approximately 65 tabulations of 1996 Census data, which features two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings. All variables covered by the 1996 Census are represented in the BST program. Forward Sortation Level geography is available for the first time.
Release date: 2019-08-27 - Table: 95F0217XDescription:
These are a series of approximately 65 tabulations of 1996 Census data, which features two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings. All variables covered by the 1996 Census are represented in the BST program. Forward Sortation Level geography is available for the first time.
Release date: 2019-03-03 - Table: 95F0199XDescription:
These are a series of approximately 65 tabulations of 1996 Census data, which features two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings. All variables covered by the 1996 Census are represented in the BST program. Forward Sortation Level geography is available for the first time.
Release date: 2019-01-14
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Analysis (154)
Analysis (154) (0 to 10 of 154 results)
- Journals and periodicals: 11-632-XDescription: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.Release date: 2024-09-19
- Journals and periodicals: 82-003-XGeography: CanadaDescription:
Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.
Health Reports had an impact factor of 5.0 for 2022 and a five-year impact factor of 5.6. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.Release date: 2024-09-18 - Journals and periodicals: 11-631-XDescription: Statistics Canada regularly prepares presentations with statistical findings about the country’s economy, society and environment. These presentations may be intended for conferences, meetings with stakeholders, or other events held throughout the year to provide Statistics Canada with an opportunity to promote the role of official statistics and to better understand data users’ needs. This series provides online access to these presentations as well as new presentations created to help communicate research findings on a wide range of subjects to a broad audience.Release date: 2024-07-24
- Articles and reports: 36-28-0001202400400004Description: This article provides an integrated summary of recent changes in output, consumer prices, employment, and household finances. It highlights changes in the economic data during the second half of 2023 and into the winter months. The article also examines how economic conditions have changed as borrowing costs have risen.Release date: 2024-04-24
- Articles and reports: 13-604-M2024001Description: This documentation outlines the methodology used to develop the Distributions of household economic accounts published in January 2024 for the reference years 2010 to 2023. It describes the framework and the steps implemented to produce distributional information aligned with the National Balance Sheet Accounts and other national accounts concepts. It also includes a report on the quality of the estimated distributions.Release date: 2024-01-22
- Articles and reports: 36-28-0001202301000006Description: This article provides an integrated summary of recent changes in output, consumer prices, employment and household finances. It highlights changes in the economic data during the first half of 2023 and into the summer months. The article also examines how economic conditions have changed as borrowing costs have risen.Release date: 2023-10-25
- Surveys and statistical programs – Documentation: 62F0026M2023001Description: 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.Release date: 2023-10-18
- Stats in brief: 98-200-X2021014Description: This article sketches a portrait of multilingualism at home in 2021. It examines the situations where more than one language is spoken at home in private Canadian households, based on certain household characteristics.Release date: 2023-06-21
- Stats in brief: 11-627-M2023028Description: This infographic presents data on level of concern about the risk of and steps taken to prepare for a weather-related emergency or natural disaster, of people living in Canada. This infographic is based on responses to the questions: "How concerned are you about the risk of a weather-related emergency or natural disaster affecting your household?" and "In the past 12 months, have you [or has someone in your household] taken steps to prepare in the event of a weather-related emergency or natural disaster affecting your household?" which were included in wave 7 of the Canadian Social Survey collected from October to December 2022. Results for level of concern and steps taken are shown for the ten provinces in Canada as well as for households able to cover an unexpected $500 expense or not.Release date: 2023-06-01
- Articles and reports: 36-28-0001202300400002Description: This article provides an integrated summary of recent changes in output, consumer prices, employment and household finances. It highlights changes in the economic data during the second half of 2022 and into the winter months. The article also examines how economic conditions have changed as borrowing costs have risen.Release date: 2023-05-08
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Reference (63)
Reference (63) (40 to 50 of 63 results)
- Geographic files and documentation: 92F0175XDescription:
This boundary file delineates areas of significant agricultural activity in Canada as indicated by the 2001 Census of Agriculture. It is available at the Canada level, except for the territories, and is generalized for small-scale mapping. This agricultural ecumene enables users to thematically map data aggregated to the census division level and limits the data display to those areas where agricultural activity is concentrated in Canada. When used in dot and choropleth maps, the ecumene concept provides a more accurate depiction of the spatial distribution of data within standard geographic areas such as census divisions. Agricultural indicators including the ratios of total agricultural land to total land area, and total agricultural receipts to total land area were used in generating the agricultural ecumene.
The boundary file coordinates are latitude/longitude and are based on the North American Datum of 1983 (NAD83). The file is available in both ARC/INFO Interchange and MapInfo Interchange formats and a reference guide is also provided.
Release date: 2003-05-29 - 42. User Guide - Survey of Household Spending, 2000 ArchivedSurveys and statistical programs – Documentation: 62F0026M2001004Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).
Release date: 2001-12-12 - 43. Methodology of the Survey of Household Spending ArchivedSurveys and statistical programs – Documentation: 62F0026M2001003Description:
This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.
Release date: 2001-10-15 - 44. Entry Exit Component for Labour Interview: January 2000, Survey of Labour and Income Dynamics ArchivedSurveys and statistical programs – Documentation: 75F0002M2000013Description:
This document presents the information for the new entry exit portion of the Survey of Labour and Income Dynamics (SLID) labour interview.
Release date: 2001-04-17 - Surveys and statistical programs – Documentation: 75F0002M2000016Description:
This paper presents the questions, possible responses and question flows for the 2000 Survey of Labour and Income Dynamics (SLID) preliminary questionnaire.
Release date: 2001-03-27 - 46. Survey of Financial Security Interview Questionnaire ArchivedSurveys and statistical programs – Documentation: 13F0026M2001001Description:
This document briefly describes the Survey of Financial Security and presents the questionnaire used for the interview. The Survey of Financial Security (SFS) was conducted during May and June of 1999. The information was collected by personal interview, using a paper questionnaire. Introductory material was sent to the respondent prior to the first contact by the interviewer.
Approximately 23,000 dwellings were selected for the sample, most using the Labour Force Survey frame. The high-income sample was drawn from geographic areas with a larger concentration of high-income households.
The survey collected the following type of information: (1) general demographic information on all members of the family, (2) more detailed information on the education, employment, income, etc., on those family members 15 years of age and older, and, (3) asset and debt information on the family as a whole.
Release date: 2001-01-24 - 47. Guide to Health Statistics ArchivedSurveys and statistical programs – Documentation: 82-573-GDescription:
The Guide to health statistics leads to health-related information with links to vital statistics such as births, deaths, marriages and divorces, to cancer statistics, health determinants, health status, health care, smoking and tobacco use and more. There is also information on cross-sectional and longitudinal surveys from the Canadian Community Health Survey and the National Population Health Survey.
This user's guide has been developed by Health Statistics Division to facilitate access on health information at Statistics Canada. It includes information with links to products and programs from Health Statistics Division, other divisions at Statistics Canada and other health related programs outside Statistics Canada.
Release date: 2000-10-11 - 48. Combining census, survey, demographic and administrative data to produce a one number census ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015638Description:
The focus of Symposium'99 is on techniques and methods for combining data from different sources and on analysis of the resulting data sets. In this talk we illustrate the usefulness of taking such an "integrating" approach when tackling a complex statistical problem. The problem itself is easily described - it is how to approximate, as closely as possible, a "perfect census", and in particular, how to obtain census counts that are "free" of underenumeration. Typically, underenumeration is estimated by carrying out a post enumeration survey (PES) following the census. In the UK in 1991 the PEF failed to identify the full size of the underenumeration and so demographic methods were used to estimate the extent of the undercount. The problems with the "traditional" PES approach in 1991 resulted in a joint research project between the Office for National Statistics and the Department of Social Statistics at the University of Southampton aimed at developing a methodology which will allow a "One Number Census" in the UK in 2001. That is, underenumeration will be accounted for not just at high levels of aggregation, but right down to the lowest levels at which census tabulations are produced. In this way all census outputs will be internally consistent, adding to the national population estimates. The basis of this methodology is the integration of information from a number of data sources in order to achieve this "One Number".
Release date: 2000-03-02 - 49. A donor imputation system to create a census database fully adjusted for underenumeration ArchivedSurveys and statistical programs – Documentation: 11-522-X19990015668Description:
Following the problems with estimating underenumeration in the 1991 Census of England and Wales the aim for the 2001 Census is to create a database that is fully adjusted to net underenumeration. To achieve this, the paper investigates weighted donor imputation methodology that utilises information from both the census and census coverage survey (CCS). The US Census Bureau has considered a similar approach for their 2000 Census (see Isaki et al 1998). The proposed procedure distinguishes between individuals who are not counted by the census because their household is missed and those who are missed in counted households. Census data is linked to data from the CCS. Multinomial logistic regression is used to estimate the probabilities that households are missed by the census and the probabilities that individuals are missed in counted households. Household and individual coverage weights are constructed from the estimated probabilities and these feed into the donor imputation procedure.
Release date: 2000-03-02 - Surveys and statistical programs – Documentation: 11-522-X19980015019Description:
The British Labour Force Survey (LFS) is a quarterly household survey with a rotating sample design that can potentially be used to produce longitudinal data, including estimates of labour force gross flows. However, these estimates may be biased due to the effect of non-response. Weighting adjustments are a commonly used method to account for non-response bias. We find that weighting may not fully account for the effect of non-response bias because non-response may depend on the unobserved labour force flows, i.e., the non-response is non-ignorable. To adjust for the effects of non-ignorable non-response, we propose a model for the complex non-response patterns in the LFS which controls for the correlated within-household non-response behaviour found in the survey. The results of modelling suggest that non-response may be non-ignorable in the LFS, causing the weighting estimates to be biased.
Release date: 1999-10-22
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