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Worldwide Healthcare Bed Data
Patient Health Records & Digital Health
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About
This dataset provides a pre-pandemic baseline for understanding typical hospital bed capacity around the world. Its primary purpose is to offer a foundation for policymakers to grasp the realistic capacity of healthcare providers to manage sudden surges in demand for intensive care. This information is crucial for assessing the impact of high utilisation events, such as the COVID-19 pandemic. Please note, this dataset consists of historical data from the pre-pandemic period and does not reflect the current reality, which may have changed significantly due to fluctuating demands. It was generated through collaborative efforts within the CoronaWhy community and was last updated on 26th April 2020, with weekly updates planned to incorporate more publicly available data.
Columns
- country: The country of origin, identified by its ISO 3166 country code (alpha 2).
- state: A more granular location within a country, identified by its ISO 3166 state code (alpha 2).
- county: The specific county or region name.
- lat: The latitude coordinate of the location.
- lng: The longitude coordinate of the location.
- type: The category of hospital beds, which can be one of the following: TOTAL, ICU (Intensive Care Unit), ACUTE (some data may include ICU beds), PSYCHIATRIC, or OTHER (a merged category including 'SPECIAL', 'CHRONIC DISEASE', 'CHILDREN', 'LONG TERM CARE', 'REHABILITATION', 'WOMEN', 'MILITARY' beds).
- measure: The unit of measure for bed count, typically "per 1000 inhabitants" (1000HAB).
- beds: The number of beds per 1000 inhabitants.
- population: The population of the given location, based on various sources and Wikipedia.
- year: The source year for the beds and population data.
- source: The original source of the data (e.g., arcgis, khn).
- source_url: The URL linking to the original data source.
Distribution
The dataset is typically available in CSV format. Sample files are updated separately to the platform. The data is structured into several files:
hospital_beds_per_source.csv (for each data source), hospital_beds_USA.csv (specific to the USA, incorporating data from arcgis and khn with state/county granularity), hospital_beds_global_regional.csv (offering global data with state/region/county granularity), and hospital_beds_global_v1.csv (providing global data at country granularity). For instance, the hospital_beds_USA_v1.csv file is approximately 1.01 MB in size and contains 5713 records, with all 12 columns fully validated.Usage
This dataset is ideal for applications and use cases focused on healthcare capacity planning and public health policy analysis. It can be used to:
- Help policymakers understand the realistic capacity of healthcare systems to handle increased demand for intensive care.
- Serve as a baseline for understanding typical bed capacity and coverage globally.
- Facilitate analysis of the potential impact of high utilisation events, such as pandemics, on healthcare infrastructure.
Coverage
The dataset offers global geographic scope, with data points available at country, state, and county levels of granularity. Specific regional and country data includes Brazil (statewise ICU), Italy (statewise ICU), Spain (statewise ICU), India (statewise TOTAL), and Sweden (ICU 2019 and TOTAL 2018). Data for the USA includes state and county granularity from arcgis and KHN sources. The time range primarily covers the pre-pandemic period, with data years ranging from 2012 to 2020. The dataset includes population data for each location. It is important to note that this is historical data and may not reflect current capacities.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for a range of users, including:
- Policymakers: To inform decisions regarding healthcare resource allocation and emergency preparedness.
- Researchers: For studies on healthcare infrastructure, pandemic response, and public health.
- Analysts: To create models and insights related to bed capacity and demand forecasting.
- Public Health Organisations: For strategic planning and assessment of healthcare system resilience.
Dataset Name Suggestions
- Global Hospital Bed Capacity: Pre-Pandemic Baseline
- Worldwide Healthcare Bed Data
- Hospital Bed Availability (Pre-COVID)
- Global ICU & Total Bed Count
Attributes
Original Data Source: Worldwide Healthcare Bed Data
QUALITY