87 datasets found
  1. B

    Canadian Community Health Survey, 2019-2020: Annual Component

    • borealisdata.ca
    Updated Sep 9, 2025
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    Statistics Canada (2025). Canadian Community Health Survey, 2019-2020: Annual Component [Dataset]. http://doi.org/10.5683/SP3/ZVCGBK
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 9, 2025
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence

    Area covered
    Canada
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels Provide a single data source for health research on small populations and rare characteristics Timely release of information easily accessible to a diverse community of users Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years with both consistent design and consistent population representation can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians.

  2. a

    Health Characteristics, Two-year Period Estimates

    • catalogue.arctic-sdi.org
    • open.canada.ca
    Updated Dec 17, 2024
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    (2024). Health Characteristics, Two-year Period Estimates [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/search?keyword=Health%20care
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    Dataset updated
    Dec 17, 2024
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

  3. d

    Synthetic: National Population Health Survey, 2000-2001 [Canada]: Cycle 4

    • search.dataone.org
    Updated Dec 28, 2023
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    Statistics Canada (2023). Synthetic: National Population Health Survey, 2000-2001 [Canada]: Cycle 4 [Dataset]. http://doi.org/10.5683/SP3/V48E1K
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Time period covered
    Jan 1, 2000 - Jan 1, 2001
    Area covered
    Canada
    Description

    Please note: This is a Synthetic data file, also known as a Dummy file - it is not real data. This synthetic file should not be used for purposes other than to develop an test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical package 'code' (e.g. SPSS syntax, SAS programs, etc.) in preperation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Resource Data Centres. In the fall of 1991, the National Health Information Council recommended that an ongoing national survey of population health be conducted. This recommendation was based on consideration of the economic and fiscal pressures on the health care systems and the requirement for information with which to improve the health status of the population in Canada. Commencing in April 1992, Statistics Canada received funding for development of a National Population Health Survey (NPHS). The NPHS collects information related to the health of the Canadian population and related socio-demographic information to: aid in the development of public policy by providing measures of the level, trend and distribution of the health status of the population, provide data for analytic studies that will assist in understanding the determinants of health, and collect data on the economic, social, demographic, occupational and environmental correlates of health. In addition the NPHS seeks to increase the understanding of the relationship between health status and health care utilization, including alternative as well as traditional services, and also to allow the possibility of linking survey data to routinely collected administrative data such as vital statistics, environmental measures, community variables, and health services utilization. The NPHS collects information related to the health of the Canadian population and related socio-demographic information. It is composed of three components: the Households, the Health Institutions, and the North components. The Household component started in 1994/1995 and is conducted every two years. The first three cycles (1994/1995, 1996/1997, 1997/1998) were both cross-sectional and longitudinal. The NPHS longitudinal sample includes 17,276 persons from all ages in 1994/1995 and these same persons are to be interviewed every two years. Beginning in Cycle 4 (2000/2001) the survey became strictly longitudinal (collecting health information from the same individuals each cycle). The cross-sectional and longitudinal documentation of the Household component is presented separately as well as the documentation for the Health Institutions and North components. The cross-sectional component of the Population Health Survey Program has been taken over by the Canadian Community Health Survey (CCHS). With the introduction of the Canadian Community Health Survey (CCHS), there were many changes to the 2000-2001 National Population Health Survey - Household questionnaire. Since NPHS is strictly a longitudinal survey, some content was migrated to the CCHS (such as the two-week disability section and certain questions on place where health care was provided) or was dropped (e.g. certain chronic conditions), while the order of the questionnaire changed. As only the longitudinal respondent is now surveyed, it was no longer necessary to distinguish between the General questionnaire and the Health component. Health Canada, Public Health Agency of Canada and provincial ministries of health use NPHS longitudinal data to plan, implement and evaluate programs and health policies to improve health and the efficiency of health services. Non-profit health organizations and researchers in the academic fields use the information to move research ahead and to improve health.

  4. B

    National Population Health Survey 1994-1995 [Canada]: Health Institutions...

    • borealisdata.ca
    Updated Sep 19, 2023
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    Health Statistics Division (2023). National Population Health Survey 1994-1995 [Canada]: Health Institutions Component [Dataset]. http://doi.org/10.5683/SP3/7DPBA0
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 19, 2023
    Dataset provided by
    Borealis
    Authors
    Health Statistics Division
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/7DPBA0https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/7DPBA0

    Time period covered
    1994 - 1995
    Area covered
    Canada, Canada, Canada
    Description

    The National Population Health Survey (NPHS) program is designed to collect information related to the health of the Canadian population. The first cycle of data collection began in 1994. The institutional component includes long-term residents (expected to stay longer than six months) in health care facilities with four or more beds in Canada with the principal exclusion of the Yukon and the Northwest Teritories. The document has been produced to facilitate the manipulation of the 1996-1997 microdata file containing survey results. The main variables include: demography, health status, chronic conditions, restriction of activity, socio-demographic, and others.

  5. H

    The Joint Canada/ United States Survey of Health

    • data.niaid.nih.gov
    • dataverse.harvard.edu
    Updated Apr 27, 2011
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    (2011). The Joint Canada/ United States Survey of Health [Dataset]. http://doi.org/10.7910/DVN/WYHRBL
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    Dataset updated
    Apr 27, 2011
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States, Canada
    Description

    Users can download the survey's report and entire data set to gain information on a variety of health indicators in the United States and Canada. Background The Joint Canada/ United States Health Survey was a one time study conducted with Statistics Canada and the National Center for Health Statistics at the Centers for Disease Control and Prevention (CDC). Both countries conducted the same survey to gather information regarding: health status, limitations of activities, asthma and other medical conditions, mental health, smoking, use of prescription medicines, physical activities, patient satisfaction, health insurance, and health care utilization. User Functionality Users can download the full report of the survey or the entire data set. Data Notes The Joint Canada/ United States Health Survey was conducted in 2002 and 2003. It was a one time telephone survey, with 3,200 Canadian participants and 5,200 American participants.

  6. Stress level | Life satisfcation | Healthcare data

    • kaggle.com
    Updated Apr 7, 2025
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    Aradhana Hirapara (2025). Stress level | Life satisfcation | Healthcare data [Dataset]. https://www.kaggle.com/datasets/aradhanahirapara/healthcare-survey
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 7, 2025
    Dataset provided by
    Kaggle
    Authors
    Aradhana Hirapara
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    Healthcare Survey Dataset (Canada) – 2019-2020 Overview This dataset contains anonymized responses from the Canadian Health Survey (2019-2020), providing valuable insights into various health-related factors, lifestyle choices, and medical conditions of individuals across different provinces. It is a great resource for public health analysis, machine learning applications, and predictive modeling.

    What’s Inside the Dataset? The dataset includes information on: - Demographics: Age, gender, marital status, household composition - Health Conditions: Chronic illnesses (diabetes, high blood pressure, sleep apnea, etc.) - Lifestyle Factors: Smoking, alcohol consumption, physical activity, food security - Mental Well-being: Stress levels, anxiety, mood disorders, life satisfaction - Healthcare Access: Insurance coverage, access to healthcare services - Employment & Work Stress: Work hours, job-related stress, income sources many more features

  7. d

    National Population Health Survey, 1998-99 [Canada]: Health

    • search.dataone.org
    Updated Dec 28, 2023
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    Statistics Canada. Health Statistics Division (2023). National Population Health Survey, 1998-99 [Canada]: Health [Dataset]. http://doi.org/10.5683/SP3/HWKXB0
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada. Health Statistics Division
    Time period covered
    Jan 1, 1998 - Jan 1, 1999
    Area covered
    Canada
    Description

    The National Population Health Survey (NPHS) collects information related to the health of the Canadian population and related socio-demographic information. The NPHS is composed of three components: the household survey, the Health Care Institution Survey and the Northern Territories survey. These Public Use Microdata Files (PUMF) contain data collected in the household component of NPHS Cycle 3, 1998-1999. The NPHS household component includes household residents in all provinces, with the exclusion of populations on Indian Reserves, Canadian Forces Bases and some remote areas in Quebec and Ontario. The first Cycle of data collection began in 1994 and data will be collected every second year, for approximately 20 years in total. Three cycles of collection are now completed for each component: NPHS Cycle 1 (1994-1995), NPHS Cycle 2 (1996-1997) and NPHS Cycle 3 (1998-1999). For the first cycle, a sample of approximately 20,000 households was drawn from the Labour Force Survey sampling frame. For Cycle 3, this frame was also used to select an additional sample of recent immigrants and young children, thus ensuring that the data represent the 1998-1999 Canadian population. NPHS collects general health information from all household members and, in each household, a person, randomly selected during cycle 1 answers a more in-depth interview on health questions. For Cycle 3, approximately 49,000 respondents answered the general portion of the questionnaire while approximately 17,000 answered the more detailed health portion. The questionnaire includes questions related to health status, use of health services, determinants of health, chronic conditions and activity restrictions. The use of health services was measured through questions on visits to health care providers, both traditional and non-traditional, hospital cares and on use of drugs and other medications. Health determinants that are explored include smoking, alcohol use and physical activity. New content for the third Cycle of NPHS includes family medical history, self-care and nutrition. The socio-demographic information collected includes age, sex, education, ethnicity, household income and labour force status. NOTE: A master file for this data set exists at SWORDC - Statistics Canada's Regional Data Centre located at the University of Waterloo. See Documentation section for details. The longitudinal sample for 1998-1999 consists of all longitudinal respondents chosen in cycle 1 who had completed at least the general component of the questionnaire in 1994-95. This included 2,022 persons who were under the age of 12 in cycle 1 (previously interviewed as part of the 1994-95 National Longitudinal Survey of Children and Youth (NLSCY) who were included in the NPHS sample for 1996-1997). Units selected in 1994-1995 as part of supplemental buy-in sample were excluded. The core sample selected in 1994-1995 was increased for 1998-1999 cross-sectional estimates. Overall, the cross-sectional sample in cycle 3 was slightly larger than the cycle 1 sample. The NPHS questions were designed for computer-assisted interviewing (CAI). Collection was divided into four quarters (June, August and November 1998 and February 1999). An additional collection was held in June 1999 with further tracing attempts of non-respondents from previous quarters. Respondents in the sample and the top-up sample of households with young children were first contacted by telephone. 95% of the interviews were done by telephone. NPHS collects general information from all household members and, in each household, a person, randomly selected during cycle 1, answers a more in-depth interview on health questions. For cycle 3, approximately 49,000 respondents answered the general portion of the questionnaire while approximately 17,000 answered the more detailed health portion.

  8. Problems with national health care system in Canada 2022

    • statista.com
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    Statista, Problems with national health care system in Canada 2022 [Dataset]. https://www.statista.com/statistics/736176/top-healthcare-system-issues-in-canada/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 22, 2022 - Aug 5, 2022
    Area covered
    Canada
    Description

    A 2022 survey found that 63 percent of Canadian individuals indicated a lack of staff was the biggest problem facing the national healthcare system. Access to treatment and/or long waiting times were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in Canada in 2022.

  9. Canadian’s Understanding and Use of the Nutrition Facts Table: Baseline...

    • ouvert.canada.ca
    • open.canada.ca
    csv
    Updated May 28, 2025
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    Health Canada (2025). Canadian’s Understanding and Use of the Nutrition Facts Table: Baseline National Survey Results [Dataset]. https://ouvert.canada.ca/data/dataset/193f3b62-6cc3-4e25-af05-c0dddaa50bad
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    csvAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    Health Canadahttp://www.hc-sc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    A series of health-related data sets from various quantitative public opinion research studies.

  10. National Household Survey indicator profile, Canada, provinces, territories,...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Mar 17, 2015
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    Government of Canada, Statistics Canada (2015). National Household Survey indicator profile, Canada, provinces, territories, health regions (2014 boundaries) and peer groups [Dataset]. http://doi.org/10.25318/3710009201-eng
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    Dataset updated
    Mar 17, 2015
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    This table contains 8607 series, with data for years 2011 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (151 items: Canada; Newfoundland and Labrador; Eastern Regional Integrated Health Authority, Newfoundland and Labrador; Central Regional Integrated Health Authority, Newfoundland and Labrador; ...); National Household Survey Profile (57 items: Global non-response rate; Total population in private households; Population aged 25 to 29; High school graduates aged 25 to 29; ...).

  11. Fourth Report on Human Biomonitoring of Environmental Chemicals in Canada

    • open.canada.ca
    html
    Updated Nov 29, 2021
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    Health Canada (2021). Fourth Report on Human Biomonitoring of Environmental Chemicals in Canada [Dataset]. https://open.canada.ca/data/info/fbdd029a-5dad-48cf-81f2-f52f0d430df4
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    htmlAvailable download formats
    Dataset updated
    Nov 29, 2021
    Dataset provided by
    Health Canadahttp://www.hc-sc.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    These data tables present national data on concentrations of environmental chemicals in Canadians. These data were collected as part of the Canadian Health Measures Survey (CHMS), an ongoing national direct health measures survey. Statistics Canada, in partnership with Health Canada and the Public Health Agency of Canada, launched the CHMS in 2007 to collect health and wellness data and biological specimens on a nationally representative sample of Canadians. Biological specimens were analyzed for indicators of health status, chronic and infectious diseases, nutritional status, and environmental chemicals.

  12. B

    Canadian Community Health Survey, 2004: Cycle 2.2, Nutrition General Health...

    • borealisdata.ca
    Updated Mar 4, 2025
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    Statistics Canada. Health Statistics Division (2025). Canadian Community Health Survey, 2004: Cycle 2.2, Nutrition General Health Component [Dataset]. http://doi.org/10.5683/SP3/GRG30I
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Borealis
    Authors
    Statistics Canada. Health Statistics Division
    License

    https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence

    Area covered
    Canada
    Description

    The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The CCHS operates on a two-year collection cycle. The first year of the survey cycle 1 is a large sample, general population health survey, designed to provide reliable estimates at the health region level. The second year of the survey cycle 2 is a smaller survey designed to provide provincial level results on specific focused health topics. This Microdata File contains data collected in the fourth year of collection for the CCHS (Cycle 2.2). Information was collected between January 2004 and January 2005 in the ten provinces. The CCHS (Cycle 2.2) collected responses from persons of all ages, living in private occupied dwellings. Excluded from the sampling frame were individuals living in the three Territories, on Indian Reserves and on Crown Lands, institutional residents, full-time members of the Canadian Forces, and residents of certain remote regions. The primary goal of the Nutrition Survey is to provide reliable, timely information about dietary intake, nutritional well-being and their key determinants to inform and guide programs, policies and activities of federal and provincial governments and local health agencies. The main objectives of the survey include: estimating the distribution of usual dietary intake in terms of foods, food groups, dietary supplements, nutrients and eating patterns among a representative sample of Canadians at national and provincial levels; gathering physical measurements for accurate body weight assessment; measuring the prevalence of household food insecurity; collecting data on selected health conditions and socio-economic and demographic characteristics of respondents.

  13. 2023 Canadian Digital Health Survey – Innovative technologies and Artificial...

    • insights.infoway-inforoute.ca
    Updated Apr 19, 2024
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    Canada Health Infoway (2024). 2023 Canadian Digital Health Survey – Innovative technologies and Artificial Intelligence (AI) [Dataset]. https://insights.infoway-inforoute.ca/2023-innovative-technologies-and-ai/
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    Dataset updated
    Apr 19, 2024
    Dataset authored and provided by
    Canada Health Infoway
    Area covered
    Canada
    Description

    This section highlights Canadians’ comfort levels with the integration of artificial intelligence (AI) and innovative technologies in healthcare. It also investigates their concerns with the use of AI in health care.

  14. d

    National Population Health Survey, 1996-97 [Canada]: General File

    • search.dataone.org
    Updated Dec 28, 2023
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    Statistics Canada. Health Statistics Division (2023). National Population Health Survey, 1996-97 [Canada]: General File [Dataset]. http://doi.org/10.5683/SP3/DJYQJA
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada. Health Statistics Division
    Time period covered
    Jan 1, 1996 - Jan 1, 1997
    Area covered
    Canada
    Description

    The National Population Health Survey (NPHS) 1996 uses the Labour Force Survey sampling frame to draw a sample of approximately 20,000 households. The sample is distributed over four quarterly collection periods. In each household, some limited information is collected from all household members and one person in each household is randomly selected for a more in-depth interview. The questionnaire includes content related to health status, use of health services determinants of health and a range of demographic and economic information. For example, the health status information includes self-perception of health, a health status index, chronic conditions, and activity restrictions. The use of health services is probed through visits to health care providers, both traditional and non-traditional, and the use of drugs and other medications. Health determinants include smoking, alcohol use, physical activity and a special focus in the second cycle of the survey was access to services with questions on preventative tests and examinations probing for frequency, reasons for use or non-use and barriers encountered. The demographic and economic information includes age, sex, education, ethnicity, household income and labour force status. The NPHS data for 96 are stored in two different data sets. Some information was collected from all household members. This information is stored in the General file. From each household, one person, aged 12 years and over, was selected to answer a more in-depth questionnaire related to health. These data are stored on the Health file. Each record on the General file corresponds to a household member. The General file carries the socio-demographic variables as well as health utilisation variables. There are 210,377 records and 173 variables in the General file. The Health file contains 81,804 records and 944 variables Data between the files can be linked using the variable recno. Note: This data is also linked to the National Longitudinal Survey of Children. The target population of the NPHS includes household residents in all provinces, with the principal exclusion of populations on Indian Reserves, Canadian Forces Bases and some remote areas in Quebec and Ontario. The longitudinal sample for 1996-1997 consists of all longitudinal respondents chosen in cycle 1 who had completed at least the general component of the questionnaire in 1994-95. This included 2,022 persons who were under the age of 12 in cycle 1 (previously interviewed as part of the 1994-95 National Longitudinal Survey of Children and Youth (NLSCY) who were included in the NPHS sample for 1996-1997). The 1996-97 NPHS was collected mainly by telephone whereas the previous cycle was collected primarily by personal interview. Three factors shaped the design of the household component sample: the targeted national and provincial/territorial sample sizes; the decision to select one member per household to make up the longitudinal panel; the choice of the redesigned LFS as a vehicle for selecting the sample.The NPHS was budgeted for a sample size of 19,600 households. It was further agreed among national and provincial representatives that each province needed a minimum of 1,200 households. Collection for the core sample was divided into four quarters (June, August and November 1996, and February 1997). The interviewers are part-time employees hired and trained specially to carry out surveys using the computer-assisted interviewing method. An additional collection was held in June 1997 with further tracing attempts of non-respondents from previous quarters.

  15. u

    Health Characteristics, Two-year Period Estimates - Catalogue - Canadian...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
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    (2025). Health Characteristics, Two-year Period Estimates - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-91926e39-cb8d-459c-a938-6f71ad2ee573
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    Dataset updated
    Oct 19, 2025
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

  16. B

    Canadian COVID-19 Antibody and Health Survey, Cycle 2: SARS-CoV-2 Genetic...

    • borealisdata.ca
    • search.dataone.org
    Updated Oct 17, 2025
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    Statistics Canada (2025). Canadian COVID-19 Antibody and Health Survey, Cycle 2: SARS-CoV-2 Genetic Sequences [Dataset]. http://doi.org/10.5683/SP3/M2XJL5
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 17, 2025
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.2/customlicense?persistentId=doi:10.5683/SP3/M2XJL5https://borealisdata.ca/api/datasets/:persistentId/versions/2.2/customlicense?persistentId=doi:10.5683/SP3/M2XJL5

    Time period covered
    May 2022 - Sep 2022
    Area covered
    Canada
    Description

    This public use microdata file (PUMF) provides researchers access to data on the distribution of SARS-CoV-2 lineages detected in the Canadian provinces between May and September 2022. Samples were collected as part of the Canadian COVID-19 Antibody and Health Survey (CCAHS), Cycle 2. The PUMF consists of a subset of participants of the CCAHS who submitted a positive PCR saliva sample over the course of the collection of the survey. The PUMF contains select demographic information including sex at birth, age group, province and the week of collection. The file also contains SARS-CoV-2 whole genome sequences and its associated data. The source survey for this PUMF, the CCAHS, Cycle 2, collected information in two parts. The first part is an electronic questionnaire about general health and exposure to COVID-19. The second part is two self-administered sample collections; an at-home finger-prick sample collection called a dried blood spot (DBS) sample, which was used to measure the presence of antibodies against SARS-CoV-2, the virus that causes COVID-19, from vaccination or prior infection. The second at-home collection was a saliva sample which was used to determine if there was a recent or current SARS-CoV-2 infection at the time of sampling, by testing for viral material in the sample using a polymerase chain reaction (PCR) test. Participants were asked to complete both sample collections as soon as possible after the questionnaire. The data can be used to: Estimate how many Canadians test positive for antibodies against COVID-19. By using each participant's DBS samples combined with their survey responses, we can determine how many Canadians have antibodies against COVID-19 due to infection, vaccination or both. Provide a platform to explore emerging public health issues; Assist in the development of programs and services to respond to the needs of the current pandemic. Identify the estimated prevalence of infection on any given day during May to August 2022 in Canada.

  17. Demographic characteristics of Canadian and US study participants in...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
    + more versions
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    Victoria Ng; Jan M. Sargeant (2023). Demographic characteristics of Canadian and US study participants in comparison to their respective national population characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0072172.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Victoria Ng; Jan M. Sargeant
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada, United States
    Description

    12011 population data for individuals 18 years and older in Canada was obtained from Statistics Canada [44].22010 population data for individuals 18 years and older in the US was obtained from the US Census Bureau [46].3Regions were:Midwest (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin);Northeast (Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont);South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, West Virginia);West (Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, Wyoming).42006 education data for individuals 20 years and over in Canada (most current and available data) [43].52010 education data for individuals 18 years and over in the US [45].*Significant at p

  18. G

    Baseline survey on understanding and awareness of sport-related concussions

    • open.canada.ca
    html, pdf
    Updated Feb 21, 2022
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    Public Health Agency of Canada (2022). Baseline survey on understanding and awareness of sport-related concussions [Dataset]. https://open.canada.ca/data/en/dataset/9f4abc1e-913d-4257-8ff1-9a4dbf89a139
    Explore at:
    html, pdfAvailable download formats
    Dataset updated
    Feb 21, 2022
    Dataset provided by
    Public Health Agency of Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Concussions in sport are a recognized public health issue due to the frequency of occurrence and their potential short and long-term consequences, including cognitive, emotional and physical symptoms and, when left undetected, even death. This research is essential for gathering information on Canadians’ current understanding of concussions (and particularly concussions in children and youth) in order to inform the development of a Pan-Canadian Concussion Strategy. This research will also help establish a baseline of information, which will be used to measure progress and report on performance, following the implementation of the Canadian Guideline on concussion in sport and protocols on return-to-learn and return-to-play.

  19. u

    Canadian’s Understanding and Use of the Nutrition Facts Table: Baseline...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
    + more versions
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    (2025). Canadian’s Understanding and Use of the Nutrition Facts Table: Baseline National Survey Results - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-193f3b62-6cc3-4e25-af05-c0dddaa50bad
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    Dataset updated
    Oct 19, 2025
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    A series of health-related data sets from various quantitative public opinion research studies.

  20. U

    Harris 1990 Cross-National Health Care Survey, study no. 902056

    • dataverse-staging.rdmc.unc.edu
    Updated Nov 30, 2007
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    Inc. Louis Harris and Associates; Inc. Louis Harris and Associates (2007). Harris 1990 Cross-National Health Care Survey, study no. 902056 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/H-902056
    Explore at:
    bin(320640), text/x-sas-syntax(10663), text/x-sas-syntax(12927), tsv(74375), bin(320000), tsv(71908), application/x-sas-transport(282720), application/x-sas-transport(293520), application/x-sas-transport(289040), text/x-sas-syntax(10666), pdf(183066), bin(1931520), application/x-spss-por(516928), application/x-spss-por(79540), tsv(73272), application/x-spss-por(95530), application/x-spss-por(79294), tsv(527449), application/x-spss-por(79622), tsv(74348), text/x-sas-syntax(13803), tsv(87862), application/x-spss-por(78556), tsv(74258), text/x-sas-syntax(10665), text/x-sas-syntax(10652), application/x-sas-transport(1856800), pdf(149926), application/x-sas-transport(282160), bin(328320), bin(321920)Available download formats
    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    Authors
    Inc. Louis Harris and Associates; Inc. Louis Harris and Associates
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/H-902056https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/H-902056

    Description

    This survey focuses on health care in the U.S., Canada, Japan, Great Britain, Germany, and Sweden. Variables include importance of health care, who is currently receiving health care, quality of care, elective surgery, time waiting to see doctor, cost of health care, satisfaction with current health care, and money spent on physicians, hospitalization, advance medical technology, and terminally ill patients.United States, Canada, Japan, Great Britain, Germany, and Sweden

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Statistics Canada (2025). Canadian Community Health Survey, 2019-2020: Annual Component [Dataset]. http://doi.org/10.5683/SP3/ZVCGBK

Canadian Community Health Survey, 2019-2020: Annual Component

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 9, 2025
Dataset provided by
Borealis
Authors
Statistics Canada
License

https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence

Area covered
Canada
Description

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels Provide a single data source for health research on small populations and rare characteristics Timely release of information easily accessible to a diverse community of users Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years with both consistent design and consistent population representation can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians.

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