Geography - Find information by region or area

Skip to filters. View results.

View results

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Subject

Type

13 facets displayed. 0 facets selected.

Survey or statistical program

435 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries
For boundary files and other geographic reference, see Geographic files and documentation.

Results

All (26,494)

All (26,494) (0 to 10 of 26,494 results)

  • 1. Geographic variation in female breast cancer incidence and mortality in Canada - Open in new window/tab
    Articles and reports: 82-003-X202600500001
    Description: Previous research has found variability in cancer incidence and cancer-related outcomes according to place of residence. This study examined geographic variability in the incidence and mortality of breast cancer among females in Canada, using data from the 2021 Canadian Cancer Registry (breast cancer incidence) and the Canadian Vital Statistics – Death database (breast cancer mortality). Age-standardized incidence rates (ASIRs) and age-standardized mortality rates (ASMRs) per 100,000 females per year and their rate ratios were calculated, as well as age group-specific and age-standardized stage-specific incidence rates, and examined across provinces and territories, community sizes, and peer groups (i.e., clusters of health regions with similar socioeconomic and demographic characteristics).
    Release date: 2026-05-20
  • 2. Enhancing the OncoSim-Breast model using Canadian breast density information - Open in new window/tab
    Articles and reports: 82-003-X202600500002
    Description: Breast cancer is the most commonly diagnosed cancer among women in Canada. Breast density substantially influences breast cancer risk and mammography performance. However, OncoSim-Breast, a Canadian microsimulation model representing breast cancer control, including cancer onset, screening, and survival, has not previously explicitly accounted for breast density. This study describes the incorporation of density-specific parameters—prevalence, relative risk of breast cancer, and digital mammography performance (sensitivity and specificity)—using data from five Canadian provinces, into the OncoSim-Breast model. Calibration experiments and internal validations were conducted to ensure the updated OncoSim-Breast model aligned with observed data from the Canadian Cancer Registry.
    Release date: 2026-05-20
  • 3. Preterm births among mothers from racialized groups, 2016-2021 - Open in new window/tab
    Articles and reports: 82-625-X202600100001
    Description: This is a health fact sheet about preterm births among mothers from racialized groups. This analysis includes live births from the five-year period preceding the 2021 Census.
    Release date: 2026-05-20
  • 4. Income Research Paper Series - Open in new window/tab
    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
  • 5. Health Reports - Open in new window/tab
    Journals and periodicals: 82-003-X
    Geography: Canada
    Description:

    Health Reports, published by the Health Analysis and Modelling 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 3.3 for 2024 and a five-year impact factor of 4.4. 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: 2026-05-20
  • 6. Health Fact Sheets - Open in new window/tab
    Journals and periodicals: 82-625-X
    Geography: Canada
    Description: Health fact sheets will include short, focused, single-theme analysis documents. Over the course of the series, analysis will include topics on: Health conditions, lifestyle, well-being, disability, prevention and detection of disease, deaths, pregnancy and birth, health care services and environmental factors.
    Release date: 2026-05-20
  • 7. Consumer Price Index (CPI) statistics, alternative measures, unadjusted and seasonally adjusted, Bank of Canada - Open in new window/tab
    Table: 10-10-0106-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 18 series, with data starting from 1979 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Alternative measures (18 items: Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes ...).
    Release date: 2026-05-20
  • 8. Bank of Canada, money market and other interest rates - Open in new window/tab
    Table: 10-10-0139-01
    Geography: Canada
    Frequency: Daily
    Description: This table contains 39 series, with data for starting from 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).
    Release date: 2026-05-20
  • 9. Credit liabilities of households - Open in new window/tab
    Table: 36-10-0639-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the household sector, by category.

    Release date: 2026-05-20
  • 10. Credit liabilities of private non-financial corporations - Open in new window/tab
    Table: 36-10-0640-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the private non-financial corporations sector, by category.

    Release date: 2026-05-20
Data (13,239)

Data (13,239) (13,160 to 13,170 of 13,239 results)

Analysis (10,756)

Analysis (10,756) (10,690 to 10,700 of 10,756 results)

  • 10,691. A personal view of hot deck imputation procedures - Open in new window/tab Archived
    Articles and reports: 12-001-X197900254832
    Description:

    A Hot Deck imputation procedure is defined to be one where an incomplete response is completed by using values from one or more other records on the same file and the choice of these records varies with the record requiring imputation.

    General approaches to Hot Deck imputation are outlined, with emphasis on the interaction between the edit constraints and the imputation procedures. Distance functions can be constructed on a mixture of categorical and numeric fields, can be modified to take account of the relative importance of fields and can discriminate against less desirable donors. Matching fields may be correlated with missing fields, may be linked with missing fields by edits or may be natural stratification variables; but increasing the number of matching fields does not necessarily result in a better match. It is important to audit the imputation process and to summarize its performance.

    Hot Deck procedures should be evaluated to study the bias and reliability of the estimates, donor usage and frequency of imputation failure in terms of a variety of conditions of the data and variations of the imputation procedure. It appears that the only generally available approach to evaluation is by simulation.

    Release date: 1979-12-14
  • 10,692. Data, statistics, information - Some issues of the Canadian Social Statistics Scene - Open in new window/tab Archived
    Articles and reports: 12-001-X197900254833
    Description:

    This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.

    Release date: 1979-12-14
  • 10,693. Management of information: Future trends - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100001
    Description: This paper discusses the management of information within the context of the information industry and indicates some likely future trends related thereto. The information industry itself is first briefly described. Then the process used in producing information, the organizational structure required for such production, and the legislation relating to the information industry are discussed in turn. Finally, some approaches to solving the problems of the future are suggested.
    Release date: 1979-06-15
  • 10,694. Non-response in the Canadian Labour Force Survey - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100002
    Description: This paper includes a description of interviewer techniques and procedures used to minimize non-response, an outline of methods used to monitor and control non-response, and a discussion of how non-respondents are treated in the data processing and estimation stages of the Canadian Labour Force Survey. Recent non-response rates as well as data on the characteristics of non-respondents are also given. It is concluded that a yearly non-response rate of approximately 5 percent is probably the best that can be achieved in the Labour Force Survey.
    Release date: 1979-06-15
  • 10,695. An empirical investigation of an improved method of measuring correlated response variance - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100003
    Description: Two methods for estimating the correlated response variance of a survey estimator are studied by way of both theoretical comparison and empirical investigation. The variance of these estimators is discussed and the effects of outliers examined. Finally, an improved estimator is developed and evaluated.
    Release date: 1979-06-15
  • 10,696. Selecting a sample of size n with PPSWOR from a finite population - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100004
    Description: Let U = {1, 2, …, i, …, N} be a finite population of N identifiable units. A known “size measure” x_i is associated with unit i; i = 1, 2, ..., N. A sampling procedure for selecting a sample of size n (2 < n < N) with probability proportional to size (PPS) and without replacement (WOR) from the population is proposed. With this method, the inclusion probability is proportional to size (IPPS) for each unit in the population.
    Release date: 1979-06-15
  • 10,697. On the inclusion of large units in simple random sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100005
    Description: Approximate cutoff rules for stratifying a population into a take-all and take-some universe have been given by Dalenius (1950) and Glasser (1962). They expressed the cutoff value (that value which delineates the boundary of the take-all and take-some) as a function of the mean, the sampling weight and the population variance. Their cutoff values were derived on the assumption that a single random sample of size n was to be drawn without replacement from the population of size N.

    In the present context, exact and approximate cutoff rules have been worked out for a similar situation. Rather than providing the sample size of the sample, the precision (coefficient of variation) is given. Note that in many sampling situations, the sampler is given a set of objectives in terms of reliability and not sample size. The result is particularly useful for determining the take-all - take-some boundary for samples drawn from a known population. The procedure is also extended to ratio estimation.
    Release date: 1979-06-15
  • 10,698. Unbiased estimation of proportions under sequential sampling - Open in new window/tab Archived
    Articles and reports: 12-001-X197900100006
    Description: Under a sequential sampling plan, the proportion defective in the sample is generally a biased estimator of the population value. In this paper, an unbiased estimator is given. Also, an unbiased estimator of its variance is derived. These results are applied to an estimation problem from the 1976 Canadian Census.
    Release date: 1979-06-15
  • 10,699. The application of a systematic method of automatic edit and imputation to the 1976 Canadian Census of Population and Housing - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254832
    Description: I.P. Fellegi and D. Holt proposed a systematic approach to automatic edit and imputation. An implementation of this proposal was a Generalized Edit and Imputation System by the Hot-Deck Approach, that was utilized in the edit and imputation of the 1976 Canadian Census of Population and Housing. This paper discusses that application, evaluating the strengths and weaknesses of the methodology with some empirical evidence. The system will be considered in relation to the general issues of the edit and imputation of survey data. Some directions for future developments will also be considered.
    Release date: 1978-12-15
  • 10,700. Large scale imputation of survey data - Open in new window/tab Archived
    Articles and reports: 12-001-X197800254833
    Description: Owners of small businesses complain about the quantity of forms they are required to collectors of statistics. Administrative data are an alternative source but do not usually include all the information required by the survey takers.

    The “Tax Data Imputation System” makes use of tax data collected from a large number of businesses by Revenue Canada and data obtained by sample survey for a small subset of these businesses. Survey data is imputed (estimated) for all the businesses not actually surveyed using a “hot-deck” technique, with adjustments made to ensure certain edit rules are satisfied. The results of a simulation study suggest that this procedure has reasonable statistical properties. Estimators (of means or totals) are unbiased with variances of comparable size to the corresponding ratio estimators.
    Release date: 1978-12-15
Reference (2,027)

Reference (2,027) (70 to 80 of 2,027 results)

  • 71. Table builder: Part 4, Variables and dimensions - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021037
    Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analyzing data. This video will explore the variables and dimensions that are associated with different focuses and populations of interest.
    Release date: 2025-05-07
  • 72. Table builder: Part 5, Geography - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021040
    Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analyzing data. This video will explore census geographies and show you how to use them when building a table.
    Release date: 2025-05-07
  • 73. Census of Population web pages: Data tables, part 1 - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021042
    Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain where to find and how to extract census data tables on the 2021 Census of Population website.
    Release date: 2025-05-07
  • 74. Consolidated Energy Statistics Table: User Guide - Open in new window/tab
    Surveys and statistical programs – Documentation: 25-26-0002
    Description: The Consolidated Energy Statistics table (CEST) provides national level monthly estimates of supply and demand characteristics, for both primary and secondary energy sources by fuel type. The data is presented in terajoules; a common unit of measure, allowing easy comparisons between different fuel and energy types. The table is updated with new data on a monthly basis.
    Release date: 2025-04-29
  • 75. Guide to the Labour Force Survey - Open in new window/tab
    Surveys and statistical programs – Documentation: 71-543-G
    Description: The Guide to the Labour Force Survey contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection, data processing and data quality. It also contains information on products and services, sub-provincial geography descriptions as well as the survey questionnaire.
    Release date: 2025-04-04
  • 76. Technical Reference Guide for the Preliminary Estimates from the T1 Family File (T1FF) - Open in new window/tab
    Surveys and statistical programs – Documentation: 11-26-0001
    Description: The data for the products associated with this technical reference guide are derived from an early version of the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA). Data on special topics linked to income and income tax deductions can be derived from the T1 income tax returns. Topics of interest for this preliminary release of the T1 data can vary from year to year.
    Release date: 2025-04-01
  • 77. Land Cover Register: Documentation - Open in new window/tab
    Geographic files and documentation: 16-510-X2025001
    Description: This document describes the methodology used to develop the land cover register, a raster dataset that maps Canada’s terrestrial and freshwater land cover using an 11-class classification system. The data product, with a spatial resolution of 30 metres, represents circa 2020 and was created through the integration of multiple land cover and land use datasets. The dataset and documentation were created by the Census of Environment program and will support Statistics Canada's ecosystem accounting efforts.
    Release date: 2025-03-27
  • 78. Guide to the Survey of Employment, Payrolls and Hours - Open in new window/tab
    Surveys and statistical programs – Documentation: 72-203-G
    Description: The Guide to the Survey of Employment, Payrolls and Hours contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection and processing, and data quality. It also provides information on products and services, as well as the survey questionnaire.
    Release date: 2025-03-27
  • 79. Census of Population web pages: Indigenous population profile - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021038
    Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain where to find and how to extract a profile of selected socio-demographic characteristics related to the Indigenous peoples in the standard data products of the Census of Population website.
    Release date: 2025-02-19
  • 80. Census of Population web pages: Special Interest Profile - Open in new window/tab
    Surveys and statistical programs – Documentation: 98-20-00032021039
    Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to explain where to find and how to extract the data related to the Special Interest Profile, a data product of the 2021 Census of Population.
    Release date: 2025-02-19
Other (1)

Other (1) ((1 result))

  • 1. Data Visualization: Best Practices - Open in new window/tab
    89-26-0005
    Description: This document provides best practices in data visualization for basic charts. A data visualization product can be created with very different goals and for different audiences with a wide range of expertise. General information applicable to any data visualization product is provided, as well as detailed information for data visualization by chart. This report covers 5 different categories of charts, and presents graphs from the following 5 general categories: pie charts, bar charts, point charts, line charts and maps.
    Release date: 2023-02-24

Sort Help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort Help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Search Help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Date modified: