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Survey or statistical program
- Average Fair Market Value/Purchase Price for New Homes in Canada - Data from GST Administrative Records (3)
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- Survey on Mental Health and Stressful Events (SMHSE) (1)
- Nursing and Residential Care Facility Survey (NRCFS) (12)
- Survey on Before and After School Care in Canada (11)
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- Canadian Survey on Early Learning and Child Care (CSELCC) (24)
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- Survey on Early Learning and Child Care Arrangements - Children with Long-term Conditions and Disabilities (SELCCA - CLCD) (12)
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- Parental Experiences Survey (1)
- Survey Series on First Nations People, Métis and Inuit (6)
- Canadian Survey on Working Conditions (1)
- Living with a Life-limiting Illness: Access to Care and Related Experiences (LLLI-ACRE) (1)
- Disconnect to reconnect? How technology is reshaping how Canadians connect with friends (1)
- Survey on the Use of Digital Technologies by Health Care Providers (2)
- Canadian Census Health and Environment Cohort (3)
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Results
All (26,494)
All (26,494) (0 to 10 of 26,494 results)
- Articles and reports: 82-003-X202600500001Description: 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
- Articles and reports: 82-003-X202600500002Description: 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
- Articles and reports: 82-625-X202600100001Description: 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
- Journals and periodicals: 75F0002MDescription: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.Release date: 2026-05-20
- Journals and periodicals: 82-003-XGeography: CanadaDescription:
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 - Journals and periodicals: 82-625-XGeography: CanadaDescription: 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
- Table: 10-10-0106-01Geography: CanadaFrequency: MonthlyDescription: 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
- Table: 10-10-0139-01Geography: CanadaFrequency: DailyDescription: 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
- Table: 36-10-0639-01Geography: CanadaFrequency: MonthlyDescription:
Monthly credit aggregates for the household sector, by category.
Release date: 2026-05-20 - Table: 36-10-0640-01Geography: CanadaFrequency: MonthlyDescription:
Monthly credit aggregates for the private non-financial corporations sector, by category.
Release date: 2026-05-20
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Data (13,239)
Data (13,239) (220 to 230 of 13,239 results)
- Table: 14-10-0467-02Geography: Census metropolitan area, Census metropolitan area partFrequency: MonthlyDescription: Employment estimates by census metropolitan area and North American Industry Classification System (NAICS), three-month moving average, unadjusted for seasonality.Release date: 2026-05-08
- Table: 14-10-0467-03Geography: Census metropolitan area, Census metropolitan area partFrequency: MonthlyDescription: Employment estimates by census metropolitan area and National Occupational Classification (NOC), three-month moving average, unadjusted for seasonality.Release date: 2026-05-08
- Table: 14-10-0471-01Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan areaFrequency: MonthlyDescription: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by gender, age group and immigrant status, three-month moving average, unadjusted for seasonality.Release date: 2026-05-08
- Table: 14-10-0471-02Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan areaFrequency: MonthlyDescription: Number of immigrants in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by gender, age group, and country of birth, three-month moving average, unadjusted for seasonality.Release date: 2026-05-08
- Table: 14-10-0480-01Frequency: MonthlyDescription: Small area estimates of unemployment rate, employment rate and number of employed persons for census metropolitan areas, census agglomerations and self-contained labour areas based on the 2021 Standard Geographical Classification. Data are unadjusted for seasonality and updated monthly.Release date: 2026-05-08
- Table: 32-10-0077-01Geography: Province or territoryFrequency: MonthlyDescription: Farm product prices, crops and livestock, by province (in dollars per metric tonne unless otherwise noted). Data are available on a monthly basis.Release date: 2026-05-08
- Data Visualization: 14-20-00012018001Description: This interactive visualization application provides a comprehensive picture of the Canadian labour market using the most recent Labour Force Survey data available. The estimates are seasonally adjusted and available by province, gender, age group and industry. Historical estimates, going back 5 years, are also included for monthly employment changes and unemployment rates. The interactive application allows users to quickly and easily explore and personalize the information presented. Combine multiple provinces, genders and age groups to create your own labour market domains of interest.Release date: 2026-05-08
- Data Visualization: 71-607-X2017001Description: This web application provides access to Statistics Canada’s Labour Market Indicators for Canada, by province and by census metropolitan area. This dynamic application allows users to view geographical rankings for each labour market indicator and to create quick and easy reports with interactive maps and charts that can be easily copied into other programs. All provincial and CMA estimates used in this application are seasonally adjusted, 3-month moving averages. Labour Force Survey data at the provincial level published each month in The Daily are seasonally adjusted monthly estimates.Release date: 2026-05-08
- Data Visualization: 71-607-X2017002Description: This web application provides access to Statistics Canada’s Labour Market Indicators for Canada, by province, territory and economic region (ER). This dynamic application allows users to view a snapshot of key labour market indicators, observe geographical rankings for each indicator using an interactive map and table, and easily copy data into other programs. The provincial and ER estimates used in this application from the Labour Force Survey (LFS) are three-month moving averages, unadjusted for seasonality. The provincial, territorial and ER estimates used in this application from the Job Vacancy and Wage Survey (JVWS) are quarterly data, unadjusted for seasonality. Historical estimates are available in this application, with data going back 10 years for the LFS and from the first quarter of 2016 for JVWS.Release date: 2026-05-08
- Data Visualization: 71-607-X2022007Description: This dashboard provides an interactive view of eight indicators from the Quality of Life Framework for Canada: Life satisfaction, sense of meaning and purpose, future outlook, loneliness, someone to count on, sense of belonging to local community, perceived mental health, and perceived health. The data can be organized by province, gender and other characteristics such as age group. This dashboard is based on quarterly data from the Canadian Social Survey.Release date: 2026-05-08
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Analysis (10,756)
Analysis (10,756) (10,690 to 10,700 of 10,756 results)
- Articles and reports: 12-001-X197900254832Description:
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 ArchivedArticles and reports: 12-001-X197900254833Description:
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 ArchivedArticles and reports: 12-001-X197900100001Description: 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
- Articles and reports: 12-001-X197900100002Description: 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 ArchivedArticles and reports: 12-001-X197900100003Description: 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 ArchivedArticles and reports: 12-001-X197900100004Description: 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
- Articles and reports: 12-001-X197900100005Description: 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 ArchivedArticles and reports: 12-001-X197900100006Description: 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 ArchivedArticles and reports: 12-001-X197800254832Description: 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 ArchivedArticles and reports: 12-001-X197800254833Description: 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
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Reference (2,027)
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- Surveys and statistical programs – Documentation: 71F0031XDescription: This paper introduces and explains modifications made to the Labour Force Survey estimates.Release date: 2025-01-24
- Surveys and statistical programs – Documentation: 71F0031X2025001Description: This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2025. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2021 Census and updates to the 2021 Standard Geographical Classification (SGC).Release date: 2025-01-24
- Surveys and statistical programs – Documentation: 91-620-XDescription: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.Release date: 2025-01-21
- Geographic files and documentation: 16-510-X2024005Description: This product contains specifications intended for users of the ocean and coastal ecosystem extent geospatial files. This document provides important technical information for users and links to methodology.Release date: 2024-12-16
- Geographic files and documentation: 16-510-X2024006Description: This product contains gridded datasets of ocean and coastal ecosystem extent for ocean and coastal areas of Canada. Mapping the extent of ocean ecosystems is the first stage in creating spatially explicit accounts, to help understand the ocean and coastal ecosystems of Canada. The files cover the area from the coastline, defined by the 2021 Statistics Canada Census of Population, to the outer boundary of Canada’s exclusive economic zone (EEZ). Coastal areas of salt marsh are also included in the files.Release date: 2024-12-16
- 86. Survey on the Official Language Minority Population: User guide, 2022 - Open in new window/tab ArchivedSurveys and statistical programs – Documentation: 89-657-X2024009Description: The Survey on the Official Language Minority Population (SOLMP) user guide contains a description of the survey, along with survey concepts and definitions and an overview of the content development. The target and survey populations, the sample design and sample size are described in the Methodology section. Finally, in the Data Collection module, the collection period and instrument, modes of collection, collection and communications strategies and response rates are provided.Release date: 2024-12-16
- Surveys and statistical programs – Documentation: 37-20-00012024003Description: This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are based on the longitudinal Postsecondary Student Information System (PSIS) administrative data files. Statistics Canada has derived a series of annual indicators of public postsecondary students including persistence rates, graduation rates, and average time to graduation by educational qualification, field of study, age group and gender for Canada, the provinces, and the three combined Territories.Release date: 2024-12-11
- Surveys and statistical programs – Documentation: 11-633-X2024004Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 40 years.Release date: 2024-12-09
- Surveys and statistical programs – Documentation: 11-633-X2024005Description: The Analytical Studies and Modelling Branch is the research (ASMB), modelling, training and access hub of Statistics Canada. It focuses on leveraging the agency’s vast data holdings to generate in-depth insights that support evidence-based policy making and to enable others to do so through analytical training and data access. The ASMB, like other program areas in the agency, works to support Statistics Canada’s overall mission of delivering insights through data for a better Canada.Release date: 2024-12-06
- Notices and consultations: 95-635-XDescription: To stay relevant, preparing for a new Census of Agriculture requires a thorough evaluation of data requirements. Before each census, Statistics Canada conducts consultations to solicit input and feedback on the Census of Agriculture's content. This report describes those consultations and the process that was followed to test and determine which topics could be potentially retained for the next census.Release date: 2024-11-27
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- 89-26-0005Description: 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