The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada. The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).

Comprehensive dataset of 10 Government hospitals in Canada as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Canada CA: Hospital Beds: per 1000 People data was reported at 2.560 Number in 2020. This records an increase from the previous number of 2.530 Number for 2019. Canada CA: Hospital Beds: per 1000 People data is updated yearly, averaging 4.300 Number from Dec 1960 (Median) to 2020, with 46 observations. The data reached an all-time high of 7.000 Number in 1970 and a record low of 2.530 Number in 2019. Canada CA: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.;Data are from the World Health Organization, supplemented by country data.;Weighted average;

This table contains 12960 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Nova Scotia; Prince Edward Island; Newfoundland and Labrador ...), Age group (12 items: Total; 15 years and over;15-19 years;20-24 years;20-34 years ...), Sex (3 items: Both sexes; Females; Males ...), Patient satisfaction - hospital care (3 items: Received hospital care in past 12 months; Quality of hospital care received rated as excellent or good; Very or somewhat satisfied with hospital care received ...), Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).

This dataset is about book series. It has 1 row and is filtered where the books is For patients of moderate means : a social history of the voluntary public general hospital in Canada, 1890-1950. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Geographical information of hospitals: including public, private and specialty psychiatric. The geographical information includes: * organization name * city * address * postal code

The average number of hospital beds available per 1,000 people in the United States was forecast to continuously decrease between 2024 and 2029 by in total 0.1 beds (-3.7 percent). After the eighth consecutive decreasing year, the number of available beds per 1,000 people is estimated to reach 2.63 beds and therefore a new minimum in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like Canada and Mexico.

Number of induced abortions, rates of induced abortions per 1,000 females aged 15 to 44, and ratios of induced abortions per 100 live births, by area of residence of patient (Canada, province or territory, non-residents of Canada, and abortions reported by American states) and by type of facility performing the abortion (hospital or clinic), 1970 to 2006.

Number and percentage of deaths, by place of death (in hospital or non-hospital), 1991 to most recent year.

The Open Database of Healthcare Facilities (ODHF) is a listing of health facilities across Canada. Facilities are classified into one of three types: ambulatory health care services, hospitals, and nursing and residential care facilities. The listing contains the names, addresses, and geo coordinates of facilities, as well as the facility type as assigned in the data source. The ODHF is based on data from authoritative sources that include among them all levels of government and public health and professional healthcare bodies. The ODHF is released as open data under the Open Government License - Canada and provided as a zipped comma-separated values (.csv) file.

This dataset details the percentage of COVID-19 positive patients in hospitals and ICUs for COVID-19 related reasons, and for reasons other than COVID-19. Data includes: * reporting date * percentage of COVID-19 positive patients in hospital admitted for COVID-19 * percentage of COVID-19 positive patients in hospital admitted for other reasons * percentage of COVID-19 positive patients in ICU admitted for COVID-19 * percentage of COVID-19 positive patients in ICU admitted for other reasons **Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool ** Due to incomplete weekend and holiday reporting, data for hospital and ICU admissions are not updated on Sundays, Mondays and the day after holidays. This dataset is subject to change.

This summary gives by five-year age group, the number of departures, stays and sex for all of Quebec. The MED-ÉCHO bank contains data relating to hospital stays that occurred in Quebec hospitals providing general and specialized care. These data, compiled by hospitals, concern short-term care (physical and psychiatric) and day surgeries. This data is produced by the Quebec Health Insurance Board from the MED-ECHO database. They cover all of Quebec.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows a map of three condensed maps of the location and capacity of Canadian hospitals circa 1951. The largest map shows the pattern for general hospitals, which are hospitals treating basically all forms of illness. The second map shows mental hospitals, which are institutions where psychiatric disorders are treated. The third map shows special hospitals - these are institutions treating particular types of illness such as chronic conditions, and those treating communicable diseases (such as sanatoria for tuberculosis). All maps use similar mapping formats. Part of this format is the use of a single symbol to combine the bed totals for all hospitals of the particular type in a single city.

Medical institutions in BC that provide diagnostic and treatment services for people whose illnesses or injuries require that they occupy a bed for at least one night. Hospitals can be distinguished by the level of care they offer (general acute, subacute, extended acute care) and the medical conditions in which they may specialize (specialty hospitals). Definition is protected by Copyright by Information and Referral Federal of Los Angeles County, Inc. See link: (https://211taxonomy.org/subscriptions/#agreement)

Bilingual reference lists with the official names of:

• Ontario hospitals
• Local Health Integration Networks
• Family Health Groups, Family Health Networks and Primary Care Networks
• Community Health Centres
• District Social Services Administration Boards
• Current and former school board funding grants provided by the Ministry of Education

This table represents a cross between the treatment region and the region of residence in relation to the number of departures. The MED-ÉCHO bank contains data relating to hospital stays that occurred in Quebec hospitals providing general and specialized care. These data, compiled by hospitals, concern short-term care (physical and psychiatric) and day surgeries. This data is produced by the Quebec Health Insurance Board from the MED-ECHO database. They cover all of Quebec.

Geographical information of hospitals: including public, private and specialty psychiatric. The geographical information includes: * organization name * city * address * postal code

The Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) is an injury and poisoning surveillance system that collects and analyzes data on injuries to people who are seen at the emergency rooms of 11 pediatric hospitals (and one children's outpatient clinic within a general hospital) and 9 general hospitals in Canada.

Status of COVID-19 cases in Ontario

This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario.

Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak.

Effective April 13, 2023, this dataset will be discontinued. The public can continue to access the data within this dataset in the following locations updated weekly on the Ontario Data Catalogue:

• Ontario COVID-19 testing percent positive by age group
• Confirmed positive cases of COVID-19 in Ontario
• Ontario COVID-19 testing metrics by Public Health Unit (PHU)
• Ontario COVID-19 testing percent positive by age group
• COVID-19 cases in hospital and ICU, by Ontario Health (OH) region
• Cumulative deaths (new methodology)
• Deaths Involving COVID-19 by Fatality Type

For information on Long-Term Care Home COVID-19 Data, please visit: Long-Term Care Home COVID-19 Data.

Data includes:

• reporting date
• daily tests completed
• total tests completed
• test outcomes
• total case outcomes (resolutions and deaths)
• current tests under investigation
• current hospitalizations
  • current patients in Intensive Care Units (ICUs) due to COVID-related critical Illness
  • current patients in Intensive Care Units (ICUs) testing positive for COVID-19
  • current patients in Intensive Care Units (ICUs) no longer testing positive for COVID-19
  • current patients in Intensive Care Units (ICUs) on ventilators due to COVID-related critical illness
  • current patients in Intensive Care Units (ICUs) on ventilators testing positive for COVID-19
  • current patients in Intensive Care Units (ICUs) on ventilators no longer testing positive for COVID-19
• Long-Term Care (LTC) resident and worker COVID-19 case and death totals
• Variants of Concern case totals
• number of new deaths reported (occurred in the last month)
• number of historical deaths reported (occurred more than one month ago)
• change in number of cases from previous day by Public Health Unit (PHU).

This dataset is subject to change. Please review the daily epidemiologic summaries for information on variables, methodology, and technical considerations.

Cumulative Deaths

**Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool **

The methodology used to count COVID-19 deaths has changed to exclude deaths not caused by COVID. This impacts data captured in the columns “Deaths”, “Deaths_Data_Cleaning” and “newly_reported_deaths” starting with data for March 11, 2022. A new column has been added to the file “Deaths_New_Methodology” which represents the methodological change.

The method used to count COVID-19 deaths has changed, effective December 1, 2022. Prior to December 1, 2022, deaths were counted based on the date the death was updated in the public health unit’s system. Going forward, deaths are counted on the date they occurred.

On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023. A small number of COVID deaths (less than 20) do not have recorded death date and will be excluded from this file.

CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags.

Related dataset(s)

• Confirmed positive cases of COVID-19 in Ontario

**Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool ** As of January 26, 2023, the population counts are based on Statistics Canada’s 2021 estimates. The coverage methodology has been revised to calculate age based on the current date and deceased individuals are no longer included. The method used to count daily dose administrations has changed is now based on the date delivered versus the day entered into the data system. Historical data has been updated. Please note that Cases by Vaccination Status data will no longer be published as of June 30, 2022. Please note that case rates by vaccination status and age group data will no longer be published as of July 13, 2022. Please note that Hospitalization by Vaccination Status data will no longer be published as of June 30, 2022. Learn more about COVID-19 vaccines. ##Data includes: * daily and total doses administered * individuals with at least one dose * individuals fully vaccinated * total doses given to fully vaccinated individuals * vaccinations by age * percentage of age group * individuals with at least one dose, by PHU, by age group * individuals fully vaccinated, by PHU, by age group * COVID-19 cases by status: not fully vaccinated, fully vaccinated, vaccinated with booster * individuals in hospital due to COVID-19 (excluding ICU) by status: unvaccinated, partially vaccinated, fully vaccinated * individuals in ICU due to COVID-19 by status: unvaccinated, partially vaccinated, fully vaccinated, unknown * rate of COVID-19 cases per 100,000 by status and age group * rate per 100,000 (7-day average) by status and age group All data reflects totals from 8 p.m. the previous day. This dataset is subject to change. Additional notes * Data entry of vaccination records is still in progress, therefore the dosage data may not be a full representation of all vaccination doses administered in Ontario. * The data does not include dosage data where consent was not provided for vaccination records to be entered into the provincial CoVax system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information into CoVax. ##Hospitalizations and cases by vaccination status Hospitalizations * This is a new data collection and the data quality will continue to improve as hospitals continue to submit data. * In order to understand the vaccination status of patients currently hospitalized, a new data collection process was developed and this may cause discrepancies between other hospitalization numbers being collected using a different data collection process. * Data on patients in ICU are being collected from two different data sources with different extraction times and public reporting cycles. The existing data source (Critical Care Information System, CCIS) does not have vaccination status. * Historical data for hospitalizations by region may change over time as hospitals update previously entered data. * Due to incomplete weekend and holiday reporting, vaccination status data for hospital and ICU admissions is not updated on Sundays, Mondays and the day after holidays * Unvaccinated is defined as not having any dose, or between 0-13 days after administration of the first dose of a COVID-19 vaccine. * Partially vaccinated is defined as 14 days or more after the first dose of a 2-dose series COVID-19 vaccine, or between 0-13 days after administration of the second dose * Fully vaccinated is defined as 14 days or more after receipt of the second dose of a 2-dose series COVID-19 vaccine Cases * The cases by vaccination status may not match the daily COVID-19 case count because records with a missing or invalid health card number cannot be linked.